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value | url stringlengths 87 315 | code_tokens listlengths 19 28.4k | sha stringlengths 40 40 |
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train | countExtn | Return the number of 'extname' extensions, defaulting to counting the
number of SCI extensions. | lib/stsci/tools/fileutil.py | def countExtn(fimg, extname='SCI'):
"""
Return the number of 'extname' extensions, defaulting to counting the
number of SCI extensions.
"""
closefits = False
if isinstance(fimg, string_types):
fimg = fits.open(fimg)
closefits = True
n = 0
for e in fimg:
if 'extn... | def countExtn(fimg, extname='SCI'):
"""
Return the number of 'extname' extensions, defaulting to counting the
number of SCI extensions.
"""
closefits = False
if isinstance(fimg, string_types):
fimg = fits.open(fimg)
closefits = True
n = 0
for e in fimg:
if 'extn... | [
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train | getExtn | Returns the PyFITS extension corresponding to extension specified in
filename.
Defaults to returning the first extension with data or the primary
extension, if none have data. If a non-existent extension has been
specified, it raises a `KeyError` exception. | lib/stsci/tools/fileutil.py | def getExtn(fimg, extn=None):
"""
Returns the PyFITS extension corresponding to extension specified in
filename.
Defaults to returning the first extension with data or the primary
extension, if none have data. If a non-existent extension has been
specified, it raises a `KeyError` exception.
... | def getExtn(fimg, extn=None):
"""
Returns the PyFITS extension corresponding to extension specified in
filename.
Defaults to returning the first extension with data or the primary
extension, if none have data. If a non-existent extension has been
specified, it raises a `KeyError` exception.
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train | findFile | Search a directory for full filename with optional path. | lib/stsci/tools/fileutil.py | def findFile(input):
"""Search a directory for full filename with optional path."""
# If no input name is provided, default to returning 'no'(FALSE)
if not input:
return no
# We use 'osfn' here to insure that any IRAF variables are
# expanded out before splitting out the path...
_fdir,... | def findFile(input):
"""Search a directory for full filename with optional path."""
# If no input name is provided, default to returning 'no'(FALSE)
if not input:
return no
# We use 'osfn' here to insure that any IRAF variables are
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train | checkFileExists | Checks to see if file specified exists in current or specified directory.
Default is current directory. Returns 1 if it exists, 0 if not found. | lib/stsci/tools/fileutil.py | def checkFileExists(filename, directory=None):
"""
Checks to see if file specified exists in current or specified directory.
Default is current directory. Returns 1 if it exists, 0 if not found.
"""
if directory is not None:
fname = os.path.join(directory,filename)
else:
fname... | def checkFileExists(filename, directory=None):
"""
Checks to see if file specified exists in current or specified directory.
Default is current directory. Returns 1 if it exists, 0 if not found.
"""
if directory is not None:
fname = os.path.join(directory,filename)
else:
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train | copyFile | Copy a file whole from input to output. | lib/stsci/tools/fileutil.py | def copyFile(input, output, replace=None):
"""Copy a file whole from input to output."""
_found = findFile(output)
if not _found or (_found and replace):
shutil.copy2(input, output) | def copyFile(input, output, replace=None):
"""Copy a file whole from input to output."""
_found = findFile(output)
if not _found or (_found and replace):
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train | removeFile | Utility function for deleting a list of files or a single file.
This function will automatically delete both files of a GEIS image, just
like 'iraf.imdelete'. | lib/stsci/tools/fileutil.py | def removeFile(inlist):
"""
Utility function for deleting a list of files or a single file.
This function will automatically delete both files of a GEIS image, just
like 'iraf.imdelete'.
"""
if not isinstance(inlist, string_types):
# We do have a list, so delete all filenames in list.
... | def removeFile(inlist):
"""
Utility function for deleting a list of files or a single file.
This function will automatically delete both files of a GEIS image, just
like 'iraf.imdelete'.
"""
if not isinstance(inlist, string_types):
# We do have a list, so delete all filenames in list.
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train | findKeywordExtn | This function will return the index of the extension in a multi-extension
FITS file which contains the desired keyword with the given value. | lib/stsci/tools/fileutil.py | def findKeywordExtn(ft, keyword, value=None):
"""
This function will return the index of the extension in a multi-extension
FITS file which contains the desired keyword with the given value.
"""
i = 0
extnum = -1
# Search through all the extensions in the FITS object
for chip in ft:
... | def findKeywordExtn(ft, keyword, value=None):
"""
This function will return the index of the extension in a multi-extension
FITS file which contains the desired keyword with the given value.
"""
i = 0
extnum = -1
# Search through all the extensions in the FITS object
for chip in ft:
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train | findExtname | Returns the list number of the extension corresponding to EXTNAME given. | lib/stsci/tools/fileutil.py | def findExtname(fimg, extname, extver=None):
"""
Returns the list number of the extension corresponding to EXTNAME given.
"""
i = 0
extnum = None
for chip in fimg:
hdr = chip.header
if 'EXTNAME' in hdr:
if hdr['EXTNAME'].strip() == extname.upper():
if... | def findExtname(fimg, extname, extver=None):
"""
Returns the list number of the extension corresponding to EXTNAME given.
"""
i = 0
extnum = None
for chip in fimg:
hdr = chip.header
if 'EXTNAME' in hdr:
if hdr['EXTNAME'].strip() == extname.upper():
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train | rAsciiLine | Returns the next non-blank line in an ASCII file. | lib/stsci/tools/fileutil.py | def rAsciiLine(ifile):
"""Returns the next non-blank line in an ASCII file."""
_line = ifile.readline().strip()
while len(_line) == 0:
_line = ifile.readline().strip()
return _line | def rAsciiLine(ifile):
"""Returns the next non-blank line in an ASCII file."""
_line = ifile.readline().strip()
while len(_line) == 0:
_line = ifile.readline().strip()
return _line | [
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train | listVars | List IRAF variables. | lib/stsci/tools/fileutil.py | def listVars(prefix="", equals="\t= ", **kw):
"""List IRAF variables."""
keylist = getVarList()
if len(keylist) == 0:
print('No IRAF variables defined')
else:
keylist.sort()
for word in keylist:
print("%s%s%s%s" % (prefix, word, equals, envget(word))) | def listVars(prefix="", equals="\t= ", **kw):
"""List IRAF variables."""
keylist = getVarList()
if len(keylist) == 0:
print('No IRAF variables defined')
else:
keylist.sort()
for word in keylist:
print("%s%s%s%s" % (prefix, word, equals, envget(word))) | [
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train | untranslateName | Undo Python conversion of CL parameter or variable name. | lib/stsci/tools/fileutil.py | def untranslateName(s):
"""Undo Python conversion of CL parameter or variable name."""
s = s.replace('DOT', '.')
s = s.replace('DOLLAR', '$')
# delete 'PY' at start of name components
if s[:2] == 'PY': s = s[2:]
s = s.replace('.PY', '.')
return s | def untranslateName(s):
"""Undo Python conversion of CL parameter or variable name."""
s = s.replace('DOT', '.')
s = s.replace('DOLLAR', '$')
# delete 'PY' at start of name components
if s[:2] == 'PY': s = s[2:]
s = s.replace('.PY', '.')
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train | envget | Get value of IRAF or OS environment variable. | lib/stsci/tools/fileutil.py | def envget(var, default=None):
"""Get value of IRAF or OS environment variable."""
if 'pyraf' in sys.modules:
#ONLY if pyraf is already loaded, import iraf into the namespace
from pyraf import iraf
else:
# else set iraf to None so it knows to not use iraf's environment
iraf ... | def envget(var, default=None):
"""Get value of IRAF or OS environment variable."""
if 'pyraf' in sys.modules:
#ONLY if pyraf is already loaded, import iraf into the namespace
from pyraf import iraf
else:
# else set iraf to None so it knows to not use iraf's environment
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train | osfn | Convert IRAF virtual path name to OS pathname. | lib/stsci/tools/fileutil.py | def osfn(filename):
"""Convert IRAF virtual path name to OS pathname."""
# Try to emulate the CL version closely:
#
# - expands IRAF virtual file names
# - strips blanks around path components
# - if no slashes or relative paths, return relative pathname
# - otherwise return absolute pathna... | def osfn(filename):
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# Try to emulate the CL version closely:
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# - strips blanks around path components
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train | defvar | Returns true if CL variable is defined. | lib/stsci/tools/fileutil.py | def defvar(varname):
"""Returns true if CL variable is defined."""
if 'pyraf' in sys.modules:
#ONLY if pyraf is already loaded, import iraf into the namespace
from pyraf import iraf
else:
# else set iraf to None so it knows to not use iraf's environment
iraf = None
if i... | def defvar(varname):
"""Returns true if CL variable is defined."""
if 'pyraf' in sys.modules:
#ONLY if pyraf is already loaded, import iraf into the namespace
from pyraf import iraf
else:
# else set iraf to None so it knows to not use iraf's environment
iraf = None
if i... | [
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train | set | Set IRAF environment variables. | lib/stsci/tools/fileutil.py | def set(*args, **kw):
"""Set IRAF environment variables."""
if len(args) == 0:
if len(kw) != 0:
# normal case is only keyword,value pairs
for keyword, value in kw.items():
keyword = untranslateName(keyword)
svalue = str(value)
_var... | def set(*args, **kw):
"""Set IRAF environment variables."""
if len(args) == 0:
if len(kw) != 0:
# normal case is only keyword,value pairs
for keyword, value in kw.items():
keyword = untranslateName(keyword)
svalue = str(value)
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train | show | Print value of IRAF or OS environment variables. | lib/stsci/tools/fileutil.py | def show(*args, **kw):
"""Print value of IRAF or OS environment variables."""
if len(kw):
raise TypeError('unexpected keyword argument: %r' % list(kw))
if args:
for arg in args:
print(envget(arg))
else:
# print them all
listVars(prefix=" ", equals="=") | def show(*args, **kw):
"""Print value of IRAF or OS environment variables."""
if len(kw):
raise TypeError('unexpected keyword argument: %r' % list(kw))
if args:
for arg in args:
print(envget(arg))
else:
# print them all
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Unset IRAF environment variables.
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train | legal_date | Check if this is a legal date in the Julian calendar | convertdate/julian.py | def legal_date(year, month, day):
'''Check if this is a legal date in the Julian calendar'''
daysinmonth = month_length(year, month)
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train | to_jd | Convert to Julian day using astronomical years (0 = 1 BC, -1 = 2 BC) | convertdate/julian.py | def to_jd(year, month, day):
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train | delay_1 | Test for delay of start of new year and to avoid | convertdate/hebrew.py | def delay_1(year):
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# Sunday, Wednesday, and Friday as start of the new year.
months = trunc(((235 * year) - 234) / 19)
parts = 12084 + (13753 * months)
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train | delay_2 | Check for delay in start of new year due to length of adjacent years | convertdate/hebrew.py | def delay_2(year):
'''Check for delay in start of new year due to length of adjacent years'''
last = delay_1(year - 1)
present = delay_1(year)
next_ = delay_1(year + 1)
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train | month_days | How many days are in a given month of a given year | convertdate/hebrew.py | def month_days(year, month):
'''How many days are in a given month of a given year'''
if month > 13:
raise ValueError("Incorrect month index")
# First of all, dispose of fixed-length 29 day months
if month in (IYYAR, TAMMUZ, ELUL, TEVETH, VEADAR):
return 29
# If it's not a leap yea... | def month_days(year, month):
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if month > 13:
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input - str
Full filename with path of input GEIS image header file
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input - str
Full filename with path of input GEIS image header file
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input - str
Full filename with path of input GEIS image header file
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train | Target.get | Yields the analysed wav data.
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Yields the analysed wav data.
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train | Target.put | stores a new target.
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train | to_datetime | Return a datetime for the input floating point Julian Day Count | convertdate/julianday.py | def to_datetime(jdc):
'''Return a datetime for the input floating point Julian Day Count'''
year, month, day = gregorian.from_jd(jdc)
# in jdc: 0.0 = noon, 0.5 = midnight
# the 0.5 changes it to 0.0 = midnight, 0.5 = noon
frac = (jdc + 0.5) % 1
hours = int(24 * frac)
mfrac = frac * 24 - h... | def to_datetime(jdc):
'''Return a datetime for the input floating point Julian Day Count'''
year, month, day = gregorian.from_jd(jdc)
# in jdc: 0.0 = noon, 0.5 = midnight
# the 0.5 changes it to 0.0 = midnight, 0.5 = noon
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train | dict_from_qs | Slightly introverted parser for lists of dot-notation nested fields
i.e. "period.di,period.fhr" => {"period": {"di": {}, "fhr": {}}} | expander/parse_qs.py | def dict_from_qs(qs):
''' Slightly introverted parser for lists of dot-notation nested fields
i.e. "period.di,period.fhr" => {"period": {"di": {}, "fhr": {}}}
'''
entries = qs.split(',') if qs.strip() else []
entries = [entry.strip() for entry in entries]
def _dict_from_qs(line, d):
... | def dict_from_qs(qs):
''' Slightly introverted parser for lists of dot-notation nested fields
i.e. "period.di,period.fhr" => {"period": {"di": {}, "fhr": {}}}
'''
entries = qs.split(',') if qs.strip() else []
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train | qs_from_dict | Same as dict_from_qs, but in reverse
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train | dbcon | Set up connection before executing function, commit and close connection
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"""Set up connection before executing function, commit and close connection
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@wraps(func)
def wrapper(*args, **kwargs):
self = args[0]
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train | Session.add | Add new sensor to the database
Parameters
----------
sid : str
SensorId
token : str | tmpo/__init__.py | def add(self, sid, token):
"""
Add new sensor to the database
Parameters
----------
sid : str
SensorId
token : str
"""
try:
self.dbcur.execute(SQL_SENSOR_INS, (sid, token))
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"""
Add new sensor to the database
Parameters
----------
sid : str
SensorId
token : str
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train | Session.remove | Remove sensor from the database
Parameters
----------
sid : str
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"""
Remove sensor from the database
Parameters
----------
sid : str
SensorID
"""
self.dbcur.execute(SQL_SENSOR_DEL, (sid,))
self.dbcur.execute(SQL_TMPO_DEL, (sid,)) | def remove(self, sid):
"""
Remove sensor from the database
Parameters
----------
sid : str
SensorID
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self.dbcur.execute(SQL_SENSOR_DEL, (sid,))
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train | Session.sync | Synchronise data
Parameters
----------
sids : list of str
SensorIDs to sync
Optional, leave empty to sync everything | tmpo/__init__.py | def sync(self, *sids):
"""
Synchronise data
Parameters
----------
sids : list of str
SensorIDs to sync
Optional, leave empty to sync everything
"""
if sids == ():
sids = [sid for (sid,) in self.dbcur.execute(SQL_SENSOR_ALL)]
... | def sync(self, *sids):
"""
Synchronise data
Parameters
----------
sids : list of str
SensorIDs to sync
Optional, leave empty to sync everything
"""
if sids == ():
sids = [sid for (sid,) in self.dbcur.execute(SQL_SENSOR_ALL)]
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train | Session.list | List all tmpo-blocks in the database
Parameters
----------
sids : list of str
SensorID's for which to list blocks
Optional, leave empty to get them all
Returns
-------
list[list[tuple]] | tmpo/__init__.py | def list(self, *sids):
"""
List all tmpo-blocks in the database
Parameters
----------
sids : list of str
SensorID's for which to list blocks
Optional, leave empty to get them all
Returns
-------
list[list[tuple]]
"""
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List all tmpo-blocks in the database
Parameters
----------
sids : list of str
SensorID's for which to list blocks
Optional, leave empty to get them all
Returns
-------
list[list[tuple]]
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train | Session.series | Create data Series
Parameters
----------
sid : str
recycle_id : optional
head : int | pandas.Timestamp, optional
Start of the interval
default earliest available
tail : int | pandas.Timestamp, optional
End of the interval
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"""
Create data Series
Parameters
----------
sid : str
recycle_id : optional
head : int | pandas.Timestamp, optional
Start of the interval
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"""
Create data Series
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----------
sid : str
recycle_id : optional
head : int | pandas.Timestamp, optional
Start of the interval
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train | Session.dataframe | Create data frame
Parameters
----------
sids : list[str]
head : int | pandas.Timestamp, optional
Start of the interval
default earliest available
tail : int | pandas.Timestamp, optional
End of the interval
default max epoch
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Create data frame
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----------
sids : list[str]
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Start of the interval
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Create data frame
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Start of the interval
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train | Session.first_timestamp | Get the first available timestamp for a sensor
Parameters
----------
sid : str
SensorID
epoch : bool
default False
If True return as epoch
If False return as pd.Timestamp
Returns
-------
pd.Timestamp | int | tmpo/__init__.py | def first_timestamp(self, sid, epoch=False):
"""
Get the first available timestamp for a sensor
Parameters
----------
sid : str
SensorID
epoch : bool
default False
If True return as epoch
If False return as pd.Timestamp
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Get the first available timestamp for a sensor
Parameters
----------
sid : str
SensorID
epoch : bool
default False
If True return as epoch
If False return as pd.Timestamp
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train | Session.last_timestamp | Get the theoretical last timestamp for a sensor
Parameters
----------
sid : str
SensorID
epoch : bool
default False
If True return as epoch
If False return as pd.Timestamp
Returns
-------
pd.Timestamp | int | tmpo/__init__.py | def last_timestamp(self, sid, epoch=False):
"""
Get the theoretical last timestamp for a sensor
Parameters
----------
sid : str
SensorID
epoch : bool
default False
If True return as epoch
If False return as pd.Timestamp
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Get the theoretical last timestamp for a sensor
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----------
sid : str
SensorID
epoch : bool
default False
If True return as epoch
If False return as pd.Timestamp
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train | Session.last_datapoint | Parameters
----------
sid : str
SensorId
epoch : bool
default False
If True return as epoch
If False return as pd.Timestamp
Returns
-------
pd.Timestamp | int, float | tmpo/__init__.py | def last_datapoint(self, sid, epoch=False):
"""
Parameters
----------
sid : str
SensorId
epoch : bool
default False
If True return as epoch
If False return as pd.Timestamp
Returns
-------
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----------
sid : str
SensorId
epoch : bool
default False
If True return as epoch
If False return as pd.Timestamp
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-------
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train | Session._npdelta | Numpy: Modifying Array Values
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"""Numpy: Modifying Array Values
http://docs.scipy.org/doc/numpy/reference/arrays.nditer.html"""
for x in np.nditer(a, op_flags=["readwrite"]):
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x[...] = delta
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http://docs.scipy.org/doc/numpy/reference/arrays.nditer.html"""
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train | sigStrToKwArgsDict | Take a check function signature (string), and parse it to get a dict
of the keyword args and their values. | lib/stsci/tools/vtor_checks.py | def sigStrToKwArgsDict(checkFuncSig):
""" Take a check function signature (string), and parse it to get a dict
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p1 = checkFuncSig.find('(')
p2 = checkFuncSig.rfind(')')
assert p1 > 0 and p2 > 0 and p2 > p1, "Invalid signature: "+checkFuncSig
argParts ... | def sigStrToKwArgsDict(checkFuncSig):
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p1 = checkFuncSig.find('(')
p2 = checkFuncSig.rfind(')')
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train | separateKeywords | Look through the keywords passed and separate the special ones we
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dicts (in a tuple), as (standardKws, ourKws) """
standardKws = {}
ourKws = {}
for k in kwArgsDict:
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train | addKwdArgsToSig | Alter the passed function signature string to add the given kewords | lib/stsci/tools/vtor_checks.py | def addKwdArgsToSig(sigStr, kwArgsDict):
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train | _gauss_funct | Defines the gaussian function to be used as the model. | lib/stsci/tools/gfit.py | def _gauss_funct(p, fjac=None, x=None, y=None, err=None,
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train | HashableFileQuerySet.filter | filter lets django managers use `objects.filter` on a hashable object. | estimators/models/base.py | def filter(self, *args, **kwargs):
"""filter lets django managers use `objects.filter` on a hashable object."""
obj = kwargs.pop(self.object_property_name, None)
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train | HashableFileQuerySet._extract_model_params | this method allows django managers use `objects.get_or_create` and
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train | HashableFileMixin.create_from_file | Return an Estimator object given the path of the file, relative to the MEDIA_ROOT | estimators/models/base.py | def create_from_file(cls, filename):
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train | getAppDir | Return our application dir. Create it if it doesn't exist. | lib/stsci/tools/cfgpars.py | def getAppDir():
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# Be sure the resource dir exists
theDir = os.path.expanduser('~/.')+APP_NAME.lower()
if not os.path.exists(theDir):
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os.mkdir(theDir)
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train | findAllCfgTasksUnderDir | Finds all installed tasks by examining any .cfg files found on disk
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retval = 0
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train | findScopedPar | Find the given par. Return tuple: (its own (sub-)dict, its value). | lib/stsci/tools/cfgpars.py | def findScopedPar(theDict, scope, name):
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# Do not search (like findFirstPar), but go right to the correct
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section, previousVal = findFirstPar(theDict, name)
# "section" is the actual object, not a copy
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train | isHiddenName | Return True if this string name denotes a hidden par or section | lib/stsci/tools/cfgpars.py | def isHiddenName(astr):
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if astr is not None and len(astr) > 2 and astr.startswith('_') and \
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return True
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train | ConfigObjPars.getPosArgs | Return a list, in order, of any parameters marked with "pos=N" in
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""" Return a list, in order, of any parameters marked with "pos=N" in
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train | ReloadMeasurement.get | Reloads the measurements from the backing store.
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>>> int(dottedQuadToNum(' 1.2'))
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>>> int(dottedQuadToNum(' 1.2.3 '))
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>>> int(dottedQuadToNum('1.2.3.4'))
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>>> dottedQuadToNum('255.255.255.255')
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>>> dotte... | lib/stsci/tools/validate.py | def dottedQuadToNum(ip):
"""
Convert decimal dotted quad string to long integer
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16777218
>>> int(dottedQuadToNum(' 1.2.3 '))
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>>> int(dottedQuadToNum('1.2.3.4'))
16909060
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"""
Convert decimal dotted quad string to long integer
>>> int(dottedQuadToNum('1 '))
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>>> int(dottedQuadToNum(' 1.2'))
16777218
>>> int(dottedQuadToNum(' 1.2.3 '))
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train | numToDottedQuad | Convert long int to dotted quad string
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"""
Convert long int to dotted quad string
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train | _is_num_param | Return numbers from inputs or raise VdtParamError.
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If the value is a string, then the conversion is done - if possible.
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This can accept negative values.
>>> vtor = Validator()
>>> vtor.che... | lib/stsci/tools/validate.py | def is_float(value, min=None, max=None):
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train | is_boolean | Check if the value represents a boolean.
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>>> vtor.check('boolean', 0)
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>>> vtor.check('boolean', False)
0
>>> vtor.check('boolean', '0')
0
>>> vtor.check('boolean', 'off')
0
>>> vtor.check('boolean', 'false')
0
>>> vtor.check('boolean', 'no')
... | lib/stsci/tools/validate.py | def is_boolean(value):
"""
Check if the value represents a boolean.
>>> vtor = Validator()
>>> vtor.check('boolean', 0)
0
>>> vtor.check('boolean', False)
0
>>> vtor.check('boolean', '0')
0
>>> vtor.check('boolean', 'off')
0
>>> vtor.check('boolean', 'false')
0
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"""
Check if the value represents a boolean.
>>> vtor = Validator()
>>> vtor.check('boolean', 0)
0
>>> vtor.check('boolean', False)
0
>>> vtor.check('boolean', '0')
0
>>> vtor.check('boolean', 'off')
0
>>> vtor.check('boolean', 'false')
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train | is_ip_addr | Check that the supplied value is an Internet Protocol address, v.4,
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>>> vtor = Validator()
>>> vtor.check('ip_addr', '1 ')
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>>> vtor.check('ip_addr', ' 1.2')
'1.2'
>>> vtor.check('ip_addr', ' 1.2.3 ')
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>>> vtor.check('ip... | lib/stsci/tools/validate.py | def is_ip_addr(value):
"""
Check that the supplied value is an Internet Protocol address, v.4,
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>>> vtor = Validator()
>>> vtor.check('ip_addr', '1 ')
'1'
>>> vtor.check('ip_addr', ' 1.2')
'1.2'
>>> vtor.check('ip_addr', ' 1.2.3 ')... | def is_ip_addr(value):
"""
Check that the supplied value is an Internet Protocol address, v.4,
represented by a dotted-quad string, i.e. '1.2.3.4'.
>>> vtor = Validator()
>>> vtor.check('ip_addr', '1 ')
'1'
>>> vtor.check('ip_addr', ' 1.2')
'1.2'
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] | spacetelescope/stsci.tools | python | https://github.com/spacetelescope/stsci.tools/blob/9a022503ad24ca54ce83331482dfa3ff6de9f403/lib/stsci/tools/validate.py#L954-L989 | [
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... | 9a022503ad24ca54ce83331482dfa3ff6de9f403 |
train | is_list | Check that the value is a list of values.
You can optionally specify the minimum and maximum number of members.
It does no check on list members.
>>> vtor = Validator()
>>> vtor.check('list', ())
[]
>>> vtor.check('list', [])
[]
>>> vtor.check('list', (1, 2))
[1, 2]
>>> vtor.c... | lib/stsci/tools/validate.py | def is_list(value, min=None, max=None):
"""
Check that the value is a list of values.
You can optionally specify the minimum and maximum number of members.
It does no check on list members.
>>> vtor = Validator()
>>> vtor.check('list', ())
[]
>>> vtor.check('list', [])
[]
>>> ... | def is_list(value, min=None, max=None):
"""
Check that the value is a list of values.
You can optionally specify the minimum and maximum number of members.
It does no check on list members.
>>> vtor = Validator()
>>> vtor.check('list', ())
[]
>>> vtor.check('list', [])
[]
>>> ... | [
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"."
] | spacetelescope/stsci.tools | python | https://github.com/spacetelescope/stsci.tools/blob/9a022503ad24ca54ce83331482dfa3ff6de9f403/lib/stsci/tools/validate.py#L992-L1035 | [
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"isinstance"... | 9a022503ad24ca54ce83331482dfa3ff6de9f403 |
train | is_int_list | Check that the value is a list of integers.
You can optionally specify the minimum and maximum number of members.
Each list member is checked that it is an integer.
>>> vtor = Validator()
>>> vtor.check('int_list', ())
[]
>>> vtor.check('int_list', [])
[]
>>> vtor.check('int_list', (1... | lib/stsci/tools/validate.py | def is_int_list(value, min=None, max=None):
"""
Check that the value is a list of integers.
You can optionally specify the minimum and maximum number of members.
Each list member is checked that it is an integer.
>>> vtor = Validator()
>>> vtor.check('int_list', ())
[]
>>> vtor.check(... | def is_int_list(value, min=None, max=None):
"""
Check that the value is a list of integers.
You can optionally specify the minimum and maximum number of members.
Each list member is checked that it is an integer.
>>> vtor = Validator()
>>> vtor.check('int_list', ())
[]
>>> vtor.check(... | [
"Check",
"that",
"the",
"value",
"is",
"a",
"list",
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"integers",
"."
] | spacetelescope/stsci.tools | python | https://github.com/spacetelescope/stsci.tools/blob/9a022503ad24ca54ce83331482dfa3ff6de9f403/lib/stsci/tools/validate.py#L1110-L1131 | [
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] | 9a022503ad24ca54ce83331482dfa3ff6de9f403 |
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