doc_content stringlengths 1 386k | doc_id stringlengths 5 188 |
|---|---|
numpy.chararray.isalnum method chararray.isalnum()[source]
Returns true for each element if all characters in the string are alphanumeric and there is at least one character, false otherwise. See also char.isalnum | numpy.reference.generated.numpy.chararray.isalnum |
numpy.chararray.isalpha method chararray.isalpha()[source]
Returns true for each element if all characters in the string are alphabetic and there is at least one character, false otherwise. See also char.isalpha | numpy.reference.generated.numpy.chararray.isalpha |
numpy.chararray.isdecimal method chararray.isdecimal()[source]
For each element in self, return True if there are only decimal characters in the element. See also char.isdecimal | numpy.reference.generated.numpy.chararray.isdecimal |
numpy.chararray.isdigit method chararray.isdigit()[source]
Returns true for each element if all characters in the string are digits and there is at least one character, false otherwise. See also char.isdigit | numpy.reference.generated.numpy.chararray.isdigit |
numpy.chararray.islower method chararray.islower()[source]
Returns true for each element if all cased characters in the string are lowercase and there is at least one cased character, false otherwise. See also char.islower | numpy.reference.generated.numpy.chararray.islower |
numpy.chararray.isnumeric method chararray.isnumeric()[source]
For each element in self, return True if there are only numeric characters in the element. See also char.isnumeric | numpy.reference.generated.numpy.chararray.isnumeric |
numpy.chararray.isspace method chararray.isspace()[source]
Returns true for each element if there are only whitespace characters in the string and there is at least one character, false otherwise. See also char.isspace | numpy.reference.generated.numpy.chararray.isspace |
numpy.chararray.istitle method chararray.istitle()[source]
Returns true for each element if the element is a titlecased string and there is at least one character, false otherwise. See also char.istitle | numpy.reference.generated.numpy.chararray.istitle |
numpy.chararray.isupper method chararray.isupper()[source]
Returns true for each element if all cased characters in the string are uppercase and there is at least one character, false otherwise. See also char.isupper | numpy.reference.generated.numpy.chararray.isupper |
numpy.chararray.item method chararray.item(*args)
Copy an element of an array to a standard Python scalar and return it. Parameters
*argsArguments (variable number and type)
none: in this case, the method only works for arrays with one element (a.size == 1), which element is copied into a standard Python sca... | numpy.reference.generated.numpy.chararray.item |
numpy.chararray.itemsize attribute chararray.itemsize
Length of one array element in bytes. Examples >>> x = np.array([1,2,3], dtype=np.float64)
>>> x.itemsize
8
>>> x = np.array([1,2,3], dtype=np.complex128)
>>> x.itemsize
16 | numpy.reference.generated.numpy.chararray.itemsize |
numpy.chararray.join method chararray.join(seq)[source]
Return a string which is the concatenation of the strings in the sequence seq. See also char.join | numpy.reference.generated.numpy.chararray.join |
numpy.chararray.ljust method chararray.ljust(width, fillchar=' ')[source]
Return an array with the elements of self left-justified in a string of length width. See also char.ljust | numpy.reference.generated.numpy.chararray.ljust |
numpy.chararray.lower method chararray.lower()[source]
Return an array with the elements of self converted to lowercase. See also char.lower | numpy.reference.generated.numpy.chararray.lower |
numpy.chararray.lstrip method chararray.lstrip(chars=None)[source]
For each element in self, return a copy with the leading characters removed. See also char.lstrip | numpy.reference.generated.numpy.chararray.lstrip |
numpy.chararray.nbytes attribute chararray.nbytes
Total bytes consumed by the elements of the array. Notes Does not include memory consumed by non-element attributes of the array object. Examples >>> x = np.zeros((3,5,2), dtype=np.complex128)
>>> x.nbytes
480
>>> np.prod(x.shape) * x.itemsize
480 | numpy.reference.generated.numpy.chararray.nbytes |
numpy.chararray.ndim attribute chararray.ndim
Number of array dimensions. Examples >>> x = np.array([1, 2, 3])
>>> x.ndim
1
>>> y = np.zeros((2, 3, 4))
>>> y.ndim
3 | numpy.reference.generated.numpy.chararray.ndim |
numpy.chararray.nonzero method chararray.nonzero()
Return the indices of the elements that are non-zero. Refer to numpy.nonzero for full documentation. See also numpy.nonzero
equivalent function | numpy.reference.generated.numpy.chararray.nonzero |
numpy.chararray.put method chararray.put(indices, values, mode='raise')
Set a.flat[n] = values[n] for all n in indices. Refer to numpy.put for full documentation. See also numpy.put
equivalent function | numpy.reference.generated.numpy.chararray.put |
numpy.chararray.ravel method chararray.ravel([order])
Return a flattened array. Refer to numpy.ravel for full documentation. See also numpy.ravel
equivalent function ndarray.flat
a flat iterator on the array. | numpy.reference.generated.numpy.chararray.ravel |
numpy.chararray.repeat method chararray.repeat(repeats, axis=None)
Repeat elements of an array. Refer to numpy.repeat for full documentation. See also numpy.repeat
equivalent function | numpy.reference.generated.numpy.chararray.repeat |
numpy.chararray.replace method chararray.replace(old, new, count=None)[source]
For each element in self, return a copy of the string with all occurrences of substring old replaced by new. See also char.replace | numpy.reference.generated.numpy.chararray.replace |
numpy.chararray.reshape method chararray.reshape(shape, order='C')
Returns an array containing the same data with a new shape. Refer to numpy.reshape for full documentation. See also numpy.reshape
equivalent function Notes Unlike the free function numpy.reshape, this method on ndarray allows the elements of t... | numpy.reference.generated.numpy.chararray.reshape |
numpy.chararray.resize method chararray.resize(new_shape, refcheck=True)
Change shape and size of array in-place. Parameters
new_shapetuple of ints, or n ints
Shape of resized array.
refcheckbool, optional
If False, reference count will not be checked. Default is True. Returns
None
Raises
ValueEr... | numpy.reference.generated.numpy.chararray.resize |
numpy.chararray.rfind method chararray.rfind(sub, start=0, end=None)[source]
For each element in self, return the highest index in the string where substring sub is found, such that sub is contained within [start, end]. See also char.rfind | numpy.reference.generated.numpy.chararray.rfind |
numpy.chararray.rindex method chararray.rindex(sub, start=0, end=None)[source]
Like rfind, but raises ValueError when the substring sub is not found. See also char.rindex | numpy.reference.generated.numpy.chararray.rindex |
numpy.chararray.rjust method chararray.rjust(width, fillchar=' ')[source]
Return an array with the elements of self right-justified in a string of length width. See also char.rjust | numpy.reference.generated.numpy.chararray.rjust |
numpy.chararray.rsplit method chararray.rsplit(sep=None, maxsplit=None)[source]
For each element in self, return a list of the words in the string, using sep as the delimiter string. See also char.rsplit | numpy.reference.generated.numpy.chararray.rsplit |
numpy.chararray.rstrip method chararray.rstrip(chars=None)[source]
For each element in self, return a copy with the trailing characters removed. See also char.rstrip | numpy.reference.generated.numpy.chararray.rstrip |
numpy.chararray.searchsorted method chararray.searchsorted(v, side='left', sorter=None)
Find indices where elements of v should be inserted in a to maintain order. For full documentation, see numpy.searchsorted See also numpy.searchsorted
equivalent function | numpy.reference.generated.numpy.chararray.searchsorted |
numpy.chararray.setfield method chararray.setfield(val, dtype, offset=0)
Put a value into a specified place in a field defined by a data-type. Place val into a’s field defined by dtype and beginning offset bytes into the field. Parameters
valobject
Value to be placed in field.
dtypedtype object
Data-type ... | numpy.reference.generated.numpy.chararray.setfield |
numpy.chararray.setflags method chararray.setflags(write=None, align=None, uic=None)
Set array flags WRITEABLE, ALIGNED, (WRITEBACKIFCOPY and UPDATEIFCOPY), respectively. These Boolean-valued flags affect how numpy interprets the memory area used by a (see Notes below). The ALIGNED flag can only be set to True if t... | numpy.reference.generated.numpy.chararray.setflags |
numpy.chararray.size attribute chararray.size
Number of elements in the array. Equal to np.prod(a.shape), i.e., the product of the array’s dimensions. Notes a.size returns a standard arbitrary precision Python integer. This may not be the case with other methods of obtaining the same value (like the suggested np.pr... | numpy.reference.generated.numpy.chararray.size |
numpy.chararray.sort method chararray.sort(axis=- 1, kind=None, order=None)
Sort an array in-place. Refer to numpy.sort for full documentation. Parameters
axisint, optional
Axis along which to sort. Default is -1, which means sort along the last axis.
kind{‘quicksort’, ‘mergesort’, ‘heapsort’, ‘stable’}, op... | numpy.reference.generated.numpy.chararray.sort |
numpy.chararray.split method chararray.split(sep=None, maxsplit=None)[source]
For each element in self, return a list of the words in the string, using sep as the delimiter string. See also char.split | numpy.reference.generated.numpy.chararray.split |
numpy.chararray.splitlines method chararray.splitlines(keepends=None)[source]
For each element in self, return a list of the lines in the element, breaking at line boundaries. See also char.splitlines | numpy.reference.generated.numpy.chararray.splitlines |
numpy.chararray.squeeze method chararray.squeeze(axis=None)
Remove axes of length one from a. Refer to numpy.squeeze for full documentation. See also numpy.squeeze
equivalent function | numpy.reference.generated.numpy.chararray.squeeze |
numpy.chararray.startswith method chararray.startswith(prefix, start=0, end=None)[source]
Returns a boolean array which is True where the string element in self starts with prefix, otherwise False. See also char.startswith | numpy.reference.generated.numpy.chararray.startswith |
numpy.chararray.strides attribute chararray.strides
Tuple of bytes to step in each dimension when traversing an array. The byte offset of element (i[0], i[1], ..., i[n]) in an array a is: offset = sum(np.array(i) * a.strides)
A more detailed explanation of strides can be found in the “ndarray.rst” file in the NumP... | numpy.reference.generated.numpy.chararray.strides |
numpy.chararray.strip method chararray.strip(chars=None)[source]
For each element in self, return a copy with the leading and trailing characters removed. See also char.strip | numpy.reference.generated.numpy.chararray.strip |
numpy.chararray.swapaxes method chararray.swapaxes(axis1, axis2)
Return a view of the array with axis1 and axis2 interchanged. Refer to numpy.swapaxes for full documentation. See also numpy.swapaxes
equivalent function | numpy.reference.generated.numpy.chararray.swapaxes |
numpy.chararray.swapcase method chararray.swapcase()[source]
For each element in self, return a copy of the string with uppercase characters converted to lowercase and vice versa. See also char.swapcase | numpy.reference.generated.numpy.chararray.swapcase |
numpy.chararray.T attribute chararray.T
The transposed array. Same as self.transpose(). See also transpose
Examples >>> x = np.array([[1.,2.],[3.,4.]])
>>> x
array([[ 1., 2.],
[ 3., 4.]])
>>> x.T
array([[ 1., 3.],
[ 2., 4.]])
>>> x = np.array([1.,2.,3.,4.])
>>> x
array([ 1., 2., 3., 4.])
>>... | numpy.reference.generated.numpy.chararray.t |
numpy.chararray.take method chararray.take(indices, axis=None, out=None, mode='raise')
Return an array formed from the elements of a at the given indices. Refer to numpy.take for full documentation. See also numpy.take
equivalent function | numpy.reference.generated.numpy.chararray.take |
numpy.chararray.title method chararray.title()[source]
For each element in self, return a titlecased version of the string: words start with uppercase characters, all remaining cased characters are lowercase. See also char.title | numpy.reference.generated.numpy.chararray.title |
numpy.chararray.tobytes method chararray.tobytes(order='C')
Construct Python bytes containing the raw data bytes in the array. Constructs Python bytes showing a copy of the raw contents of data memory. The bytes object is produced in C-order by default. This behavior is controlled by the order parameter. New in ve... | numpy.reference.generated.numpy.chararray.tobytes |
numpy.chararray.tofile method chararray.tofile(fid, sep='', format='%s')
Write array to a file as text or binary (default). Data is always written in ‘C’ order, independent of the order of a. The data produced by this method can be recovered using the function fromfile(). Parameters
fidfile or str or Path
An ... | numpy.reference.generated.numpy.chararray.tofile |
numpy.chararray.tolist method chararray.tolist()
Return the array as an a.ndim-levels deep nested list of Python scalars. Return a copy of the array data as a (nested) Python list. Data items are converted to the nearest compatible builtin Python type, via the item function. If a.ndim is 0, then since the depth of ... | numpy.reference.generated.numpy.chararray.tolist |
numpy.chararray.tostring method chararray.tostring(order='C')
A compatibility alias for tobytes, with exactly the same behavior. Despite its name, it returns bytes not strs. Deprecated since version 1.19.0. | numpy.reference.generated.numpy.chararray.tostring |
numpy.chararray.translate method chararray.translate(table, deletechars=None)[source]
For each element in self, return a copy of the string where all characters occurring in the optional argument deletechars are removed, and the remaining characters have been mapped through the given translation table. See also c... | numpy.reference.generated.numpy.chararray.translate |
numpy.chararray.transpose method chararray.transpose(*axes)
Returns a view of the array with axes transposed. For a 1-D array this has no effect, as a transposed vector is simply the same vector. To convert a 1-D array into a 2D column vector, an additional dimension must be added. np.atleast2d(a).T achieves this, ... | numpy.reference.generated.numpy.chararray.transpose |
numpy.chararray.upper method chararray.upper()[source]
Return an array with the elements of self converted to uppercase. See also char.upper | numpy.reference.generated.numpy.chararray.upper |
numpy.chararray.view method chararray.view([dtype][, type])
New view of array with the same data. Note Passing None for dtype is different from omitting the parameter, since the former invokes dtype(None) which is an alias for dtype('float_'). Parameters
dtypedata-type or ndarray sub-class, optional
Data-ty... | numpy.reference.generated.numpy.chararray.view |
numpy.chararray.zfill method chararray.zfill(width)[source]
Return the numeric string left-filled with zeros in a string of length width. See also char.zfill | numpy.reference.generated.numpy.chararray.zfill |
class.__array__([dtype])
If a class (ndarray subclass or not) having the __array__ method is used as the output object of an ufunc, results will not be written to the object returned by __array__. This practice will return TypeError. | numpy.reference.arrays.classes#numpy.class.__array__ |
class.__array_finalize__(obj)
This method is called whenever the system internally allocates a new array from obj, where obj is a subclass (subtype) of the ndarray. It can be used to change attributes of self after construction (so as to ensure a 2-d matrix for example), or to update meta-information from the “parent... | numpy.reference.arrays.classes#numpy.class.__array_finalize__ |
class.__array_function__(func, types, args, kwargs)
New in version 1.16. Note In NumPy 1.17, the protocol is enabled by default, but can be disabled with NUMPY_EXPERIMENTAL_ARRAY_FUNCTION=0. In NumPy 1.16, you need to set the environment variable NUMPY_EXPERIMENTAL_ARRAY_FUNCTION=1 before importing NumPy to use N... | numpy.reference.arrays.classes#numpy.class.__array_function__ |
class.__array_prepare__(array, context=None)
At the beginning of every ufunc, this method is called on the input object with the highest array priority, or the output object if one was specified. The output array is passed in and whatever is returned is passed to the ufunc. Subclasses inherit a default implementation... | numpy.reference.arrays.classes#numpy.class.__array_prepare__ |
class.__array_priority__
The value of this attribute is used to determine what type of object to return in situations where there is more than one possibility for the Python type of the returned object. Subclasses inherit a default value of 0.0 for this attribute. Note For ufuncs, it is hoped to eventually deprecate... | numpy.reference.arrays.classes#numpy.class.__array_priority__ |
Standard array subclasses Note Subclassing a numpy.ndarray is possible but if your goal is to create an array with modified behavior, as do dask arrays for distributed computation and cupy arrays for GPU-based computation, subclassing is discouraged. Instead, using numpy’s dispatch mechanism is recommended. The ndarr... | numpy.reference.arrays.classes |
class.__array_wrap__(array, context=None)
At the end of every ufunc, this method is called on the input object with the highest array priority, or the output object if one was specified. The ufunc-computed array is passed in and whatever is returned is passed to the user. Subclasses inherit a default implementation o... | numpy.reference.arrays.classes#numpy.class.__array_wrap__ |
NumPy Distutils - Users Guide SciPy structure Currently SciPy project consists of two packages:
NumPy — it provides packages like: numpy.distutils - extension to Python distutils numpy.f2py - a tool to bind Fortran/C codes to Python numpy.core - future replacement of Numeric and numarray packages numpy.lib - extra ... | numpy.reference.distutils_guide |
numpy.core.defchararray.array core.defchararray.array(obj, itemsize=None, copy=True, unicode=None, order=None)[source]
Create a chararray. Note This class is provided for numarray backward-compatibility. New code (not concerned with numarray compatibility) should use arrays of type string_ or unicode_ and use the ... | numpy.reference.generated.numpy.core.defchararray.array |
numpy.core.defchararray.asarray core.defchararray.asarray(obj, itemsize=None, unicode=None, order=None)[source]
Convert the input to a chararray, copying the data only if necessary. Versus a regular NumPy array of type str or unicode, this class adds the following functionality: values automatically have whitespac... | numpy.reference.generated.numpy.core.defchararray.asarray |
numpy.core.records.array core.records.array(obj, dtype=None, shape=None, offset=0, strides=None, formats=None, names=None, titles=None, aligned=False, byteorder=None, copy=True)[source]
Construct a record array from a wide-variety of objects. A general-purpose record array constructor that dispatches to the appropr... | numpy.reference.generated.numpy.core.records.array |
numpy.core.records.fromarrays core.records.fromarrays(arrayList, dtype=None, shape=None, formats=None, names=None, titles=None, aligned=False, byteorder=None)[source]
Create a record array from a (flat) list of arrays Parameters
arrayListlist or tuple
List of array-like objects (such as lists, tuples, and nda... | numpy.reference.generated.numpy.core.records.fromarrays |
numpy.core.records.fromfile core.records.fromfile(fd, dtype=None, shape=None, offset=0, formats=None, names=None, titles=None, aligned=False, byteorder=None)[source]
Create an array from binary file data Parameters
fdstr or file type
If file is a string or a path-like object then that file is opened, else it ... | numpy.reference.generated.numpy.core.records.fromfile |
numpy.core.records.fromrecords core.records.fromrecords(recList, dtype=None, shape=None, formats=None, names=None, titles=None, aligned=False, byteorder=None)[source]
Create a recarray from a list of records in text form. Parameters
recListsequence
data in the same field may be heterogeneous - they will be pr... | numpy.reference.generated.numpy.core.records.fromrecords |
numpy.core.records.fromstring core.records.fromstring(datastring, dtype=None, shape=None, offset=0, formats=None, names=None, titles=None, aligned=False, byteorder=None)[source]
Create a record array from binary data Note that despite the name of this function it does not accept str instances. Parameters
datast... | numpy.reference.generated.numpy.core.records.fromstring |
Discrete Fourier Transform (numpy.fft) The SciPy module scipy.fft is a more comprehensive superset of numpy.fft, which includes only a basic set of routines. Standard FFTs
fft(a[, n, axis, norm]) Compute the one-dimensional discrete Fourier Transform.
ifft(a[, n, axis, norm]) Compute the one-dimensional inverse di... | numpy.reference.routines.fft |
numpy.DataSource.abspath method DataSource.abspath(path)[source]
Return absolute path of file in the DataSource directory. If path is an URL, then abspath will return either the location the file exists locally or the location it would exist when opened using the open method. Parameters
pathstr
Can be a local... | numpy.reference.generated.numpy.datasource.abspath |
numpy.DataSource.exists method DataSource.exists(path)[source]
Test if path exists. Test if path exists as (and in this order): a local file. a remote URL that has been downloaded and stored locally in the DataSource directory. a remote URL that has not been downloaded, but is valid and accessible. Parameters
... | numpy.reference.generated.numpy.datasource.exists |
numpy.DataSource.open method DataSource.open(path, mode='r', encoding=None, newline=None)[source]
Open and return file-like object. If path is an URL, it will be downloaded, stored in the DataSource directory and opened from there. Parameters
pathstr
Local file path or URL to open.
mode{‘r’, ‘w’, ‘a’}, opti... | numpy.reference.generated.numpy.datasource.open |
Importing data with genfromtxt NumPy provides several functions to create arrays from tabular data. We focus here on the genfromtxt function. In a nutshell, genfromtxt runs two main loops. The first loop converts each line of the file in a sequence of strings. The second loop converts each string to the appropriate dat... | numpy.user.basics.io.genfromtxt |
numpy.distutils.ccompiler.CCompiler_compile distutils.ccompiler.CCompiler_compile(self, sources, output_dir=None, macros=None, include_dirs=None, debug=0, extra_preargs=None, extra_postargs=None, depends=None)[source]
Compile one or more source files. Please refer to the Python distutils API reference for more deta... | numpy.reference.generated.numpy.distutils.ccompiler.ccompiler_compile |
numpy.distutils.ccompiler.CCompiler_customize distutils.ccompiler.CCompiler_customize(self, dist, need_cxx=0)[source]
Do any platform-specific customization of a compiler instance. This method calls distutils.sysconfig.customize_compiler for platform-specific customization, as well as optionally remove a flag to su... | numpy.reference.generated.numpy.distutils.ccompiler.ccompiler_customize |
numpy.distutils.ccompiler.CCompiler_customize_cmd distutils.ccompiler.CCompiler_customize_cmd(self, cmd, ignore=())[source]
Customize compiler using distutils command. Parameters
cmdclass instance
An instance inheriting from distutils.cmd.Command.
ignoresequence of str, optional
List of CCompiler commands... | numpy.reference.generated.numpy.distutils.ccompiler.ccompiler_customize_cmd |
numpy.distutils.ccompiler.CCompiler_cxx_compiler distutils.ccompiler.CCompiler_cxx_compiler(self)[source]
Return the C++ compiler. Parameters
None
Returns
cxxclass instance
The C++ compiler, as a CCompiler instance. | numpy.reference.generated.numpy.distutils.ccompiler.ccompiler_cxx_compiler |
numpy.distutils.ccompiler.CCompiler_find_executables distutils.ccompiler.CCompiler_find_executables(self)[source]
Does nothing here, but is called by the get_version method and can be overridden by subclasses. In particular it is redefined in the FCompiler class where more documentation can be found. | numpy.reference.generated.numpy.distutils.ccompiler.ccompiler_find_executables |
numpy.distutils.ccompiler.CCompiler_get_version distutils.ccompiler.CCompiler_get_version(self, force=False, ok_status=[0])[source]
Return compiler version, or None if compiler is not available. Parameters
forcebool, optional
If True, force a new determination of the version, even if the compiler already has ... | numpy.reference.generated.numpy.distutils.ccompiler.ccompiler_get_version |
numpy.distutils.ccompiler.CCompiler_object_filenames distutils.ccompiler.CCompiler_object_filenames(self, source_filenames, strip_dir=0, output_dir='')[source]
Return the name of the object files for the given source files. Parameters
source_filenameslist of str
The list of paths to source files. Paths can be... | numpy.reference.generated.numpy.distutils.ccompiler.ccompiler_object_filenames |
numpy.distutils.ccompiler.CCompiler_show_customization distutils.ccompiler.CCompiler_show_customization(self)[source]
Print the compiler customizations to stdout. Parameters
None
Returns
None
Notes Printing is only done if the distutils log threshold is < 2. | numpy.reference.generated.numpy.distutils.ccompiler.ccompiler_show_customization |
numpy.distutils.ccompiler.CCompiler_spawn distutils.ccompiler.CCompiler_spawn(self, cmd, display=None, env=None)[source]
Execute a command in a sub-process. Parameters
cmdstr
The command to execute.
displaystr or sequence of str, optional
The text to add to the log file kept by numpy.distutils. If not giv... | numpy.reference.generated.numpy.distutils.ccompiler.ccompiler_spawn |
numpy.distutils.ccompiler.gen_lib_options distutils.ccompiler.gen_lib_options(compiler, library_dirs, runtime_library_dirs, libraries)[source] | numpy.reference.generated.numpy.distutils.ccompiler.gen_lib_options |
numpy.distutils.ccompiler.new_compiler distutils.ccompiler.new_compiler(plat=None, compiler=None, verbose=None, dry_run=0, force=0)[source] | numpy.reference.generated.numpy.distutils.ccompiler.new_compiler |
numpy.distutils.ccompiler.replace_method distutils.ccompiler.replace_method(klass, method_name, func)[source] | numpy.reference.generated.numpy.distutils.ccompiler.replace_method |
numpy.distutils.ccompiler.simple_version_match distutils.ccompiler.simple_version_match(pat='[-.\\d]+', ignore='', start='')[source]
Simple matching of version numbers, for use in CCompiler and FCompiler. Parameters
patstr, optional
A regular expression matching version numbers. Default is r'[-.\d]+'.
ignor... | numpy.reference.generated.numpy.distutils.ccompiler.simple_version_match |
numpy.distutils.ccompiler_opt.CCompilerOpt.cache_flush method distutils.ccompiler_opt.CCompilerOpt.cache_flush()[source]
Force update the cache. | numpy.reference.generated.numpy.distutils.ccompiler_opt.ccompileropt.cache_flush |
numpy.distutils.ccompiler_opt.CCompilerOpt.cc_normalize_flags method distutils.ccompiler_opt.CCompilerOpt.cc_normalize_flags(flags)[source]
Remove the conflicts that caused due gathering implied features flags. Parameters
‘flags’ list, compiler flags
flags should be sorted from the lowest to the highest interes... | numpy.reference.generated.numpy.distutils.ccompiler_opt.ccompileropt.cc_normalize_flags |
numpy.distutils.ccompiler_opt.CCompilerOpt.conf_features attribute distutils.ccompiler_opt.CCompilerOpt.conf_features = {'ASIMD': {'implies': 'NEON_FP16 NEON_VFPV4', 'implies_detect': False, 'interest': 4}, 'ASIMDDP': {'implies': 'ASIMD', 'interest': 6}, 'ASIMDFHM': {'implies': 'ASIMDHP', 'interest': 7}, 'ASIMDHP': {... | numpy.reference.generated.numpy.distutils.ccompiler_opt.ccompileropt.conf_features |
numpy.distutils.ccompiler_opt.CCompilerOpt.conf_features_partial method distutils.ccompiler_opt.CCompilerOpt.conf_features_partial()[source]
Return a dictionary of supported CPU features by the platform, and accumulate the rest of undefined options in conf_features, the returned dict has same rules and notes in cla... | numpy.reference.generated.numpy.distutils.ccompiler_opt.ccompileropt.conf_features_partial |
numpy.distutils.ccompiler_opt.CCompilerOpt.cpu_baseline_flags method distutils.ccompiler_opt.CCompilerOpt.cpu_baseline_flags()[source]
Returns a list of final CPU baseline compiler flags | numpy.reference.generated.numpy.distutils.ccompiler_opt.ccompileropt.cpu_baseline_flags |
numpy.distutils.ccompiler_opt.CCompilerOpt.cpu_baseline_names method distutils.ccompiler_opt.CCompilerOpt.cpu_baseline_names()[source]
return a list of final CPU baseline feature names | numpy.reference.generated.numpy.distutils.ccompiler_opt.ccompileropt.cpu_baseline_names |
numpy.distutils.ccompiler_opt.CCompilerOpt.cpu_dispatch_names method distutils.ccompiler_opt.CCompilerOpt.cpu_dispatch_names()[source]
return a list of final CPU dispatch feature names | numpy.reference.generated.numpy.distutils.ccompiler_opt.ccompileropt.cpu_dispatch_names |
numpy.distutils.ccompiler_opt.CCompilerOpt.dist_compile method distutils.ccompiler_opt.CCompilerOpt.dist_compile(sources, flags, ccompiler=None, **kwargs)[source]
Wrap CCompiler.compile() | numpy.reference.generated.numpy.distutils.ccompiler_opt.ccompileropt.dist_compile |
numpy.distutils.ccompiler_opt.CCompilerOpt.dist_info method distutils.ccompiler_opt.CCompilerOpt.dist_info()[source]
Return a tuple containing info about (platform, compiler, extra_args), required by the abstract class ‘_CCompiler’ for discovering the platform environment. This is also used as a cache factor in ord... | numpy.reference.generated.numpy.distutils.ccompiler_opt.ccompileropt.dist_info |
numpy.distutils.ccompiler_opt.CCompilerOpt.dist_test method distutils.ccompiler_opt.CCompilerOpt.dist_test(source, flags, macros=[])[source]
Return True if ‘CCompiler.compile()’ able to compile a source file with certain flags. | numpy.reference.generated.numpy.distutils.ccompiler_opt.ccompileropt.dist_test |
numpy.distutils.ccompiler_opt.CCompilerOpt.feature_ahead method distutils.ccompiler_opt.CCompilerOpt.feature_ahead(names)[source]
Return list of features in ‘names’ after remove any implied features and keep the origins. Parameters
‘names’: sequence
sequence of CPU feature names in uppercase. Returns
list ... | numpy.reference.generated.numpy.distutils.ccompiler_opt.ccompileropt.feature_ahead |
numpy.distutils.ccompiler_opt.CCompilerOpt.feature_c_preprocessor method distutils.ccompiler_opt.CCompilerOpt.feature_c_preprocessor(feature_name, tabs=0)[source]
Generate C preprocessor definitions and include headers of a CPU feature. Parameters
‘feature_name’: str
CPU feature name in uppercase. ‘tabs’: int
... | numpy.reference.generated.numpy.distutils.ccompiler_opt.ccompileropt.feature_c_preprocessor |
numpy.distutils.ccompiler_opt.CCompilerOpt.feature_detect method distutils.ccompiler_opt.CCompilerOpt.feature_detect(names)[source]
Return a list of CPU features that required to be detected sorted from the lowest to highest interest. | numpy.reference.generated.numpy.distutils.ccompiler_opt.ccompileropt.feature_detect |
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