latqcdtools.base.utilities
_alphanum_key(key):
'''
Splits the string `key` at any point where there is one or more consecutive digits.
The regular expression `([0-9]+)` is used to match one or more digits. The parentheses `()`
capture the matched digits as separate elements. For example, if `key` were
`'abc123def456ghi'`, the resulting list would be `['abc', '123', 'def', '456', 'ghi']`.
'''
_convert(text):
'''
'''
_getPrefix(byteString):
'''
'''
appendToDocstring(string=None, args=None, returns=None):
'''
'''
byteConvert(x, b1, b2):
'''
Convert between bytes given scientific prefixes.
Args:
x (float): Bytes in original units.
b1 (str): Original units.
b2 (str): Target units.
Returns:
float: Bytes in target units.
'''
cleanOutput(*args, label=None) -> str:
'''
This method takes a bunch of args and formats them automatically for output. The idea is
that you can use this method to ensure that columns are well lined up.
Args:
*args: The numbers you want to output, separated by commas.
label (str, optional): Put label to the left of your output. Defaults to None.
Returns:
str: formatted output string
'''
comesBefore(date1, date2, format='%Y/%m/%d %H:%M:%S', beforeOrEqual=False) -> bool:
'''
Check whether date1 comes before date2.
Args:
date1 (str)
date2 (str)
format (str): format for date strings. Defaults to "%Y/%m/%d %H:%M:%S"
beforeOrEqual (bool): also return True if date1 == date2
Returns:
bool: date1 < date2
'''
createFilePath(fullFileName):
'''
Create the directory path if it isn't there already.
'''
deleteFile(target):
'''
Delete the file at target, if it exists.
'''
deleteFolder(target):
'''
Delete the folder at target, if it exists.
'''
elapsedSeconds(date1, date2, format='%Y/%m/%d %H:%M:%S') -> float:
'''
Compute elapsed time in seconds between date1 and date2.
Args:
date1 (str)
date2 (str)
format (str): format for date strings. Defaults to "%Y/%m/%d %H:%M:%S"
Returns:
float: elapsed time in seconds
'''
envector(*args):
'''
Change obj to a numpy array if it's a scalar. Sometimes required when, e.g., using np.vectorize.
'''
find_nearest_idx(array, value) -> int:
'''
Find the index of the element of array nearest to value.
'''
getArgs(parser):
'''
Get arguments from the ArgumentParser. Complain if you don't get exactly the correct arguments.
'''
isArrayLike(obj) -> bool:
'''
Figure out whether obj is indexable.
Args:
obj (python object)
Returns:
bool: True if there is at least one index, false otherwise.
'''
isComplexType(obj) -> bool:
'''
'''
isFloatType(obj) -> bool:
'''
'''
isHigherDimensional(obj) -> bool:
'''
Figure out whether obj has at least two indices.
Args:
obj (array-like)
Returns:
bool: True if there are at least two indices, false otherwise.
'''
isIntType(obj) -> bool:
'''
'''
isScalar(obj) -> bool:
'''
'''
naturalSort(l) -> list:
'''
Sort list of strings so that, e.g. '10' comes after '9' rather than before it.
'''
printArg(message, param):
'''
Some arguments are None by default, and you only want to print them if they are set.
'''
printClean(*args, label=None):
'''
Wrapper for cleanOutput that prints to screen.
Args:
*args: The numbers you want to output, separated by commas.
label (str, optional): Put label to the left of your output. Defaults to None.
'''
printDict(dic, level=0):
'''
Prints key, value pairs line by line.
'''
shell(*args):
'''
Carry out the passed arguments args in the shell. Can be passed as a single
string or as a list. Captures and returns output of shell command. E.g.
shell('ls -lah')
'''
shellVerbose(*args):
'''
Same as shell, but instead of capturing output, print it to screen.
'''
substringBetween(string, a, b) -> str:
'''
Find the substring of string between a and b. If a==b, it looks between the
first and second occurences of a.
Args:
string (str)
a (str): starting delimiter
b (str): ending delimiter
Returns:
str: substring
'''
toNumpy(*args, **kwargs):
'''
'''
unvector(obj):
'''
Remove outermost brackets of array-like object with single element, if possible. This is needed
because sometimes different numpy methods give inconsistent outputs, like turning a scalar
into a zero-dimensional array, a 1-dimensional array, or just the scalar itself.
Args:
obj (python object)
Returns:
obj, obj[0], or obj.item() depending on obj
'''
class timer():
'''
A class to facilitate doing rudimentary timings in the Toolbox.
'''