Closed
Description
From #5481 (comment).
Description
ValueError buffer source array is read-only when computing manahattan_distances of a CSR matrix inside Parallel
Steps/Code to Reproduce
import numpy as np
from scipy.sparse import csr_matrix
from sklearn.externals.joblib import Parallel, delayed
from sklearn.metrics.pairwise import manhattan_distances
matrices1 = [csr_matrix(np.ones((5, 5)))]
matrices2 = [csr_matrix(np.ones((5, 5)))]
Parallel(n_jobs=-1, max_nbytes=0)(
delayed(manhattan_distances)(m1, m2)
for m1, m2 in zip(matrices1, matrices2))Full traceback:
---------------------------------------------------------------------------
RemoteTraceback Traceback (most recent call last)
RemoteTraceback:
"""
Traceback (most recent call last):
File "/home/le243287/dev/scikit-learn/sklearn/externals/joblib/_parallel_backends.py", line 344, in __call__
return self.func(*args, **kwargs)
File "/home/le243287/dev/scikit-learn/sklearn/externals/joblib/parallel.py", line 131, in __call__
return [func(*args, **kwargs) for func, args, kwargs in self.items]
File "/home/le243287/dev/scikit-learn/sklearn/externals/joblib/parallel.py", line 131, in <listcomp>
return [func(*args, **kwargs) for func, args, kwargs in self.items]
File "/home/le243287/dev/scikit-learn/sklearn/metrics/pairwise.py", line 533, in manhattan_distances
X.shape[1], D)
File "sklearn/metrics/pairwise_fast.pyx", line 53, in sklearn.metrics.pairwise_fast._sparse_manhattan (sklearn/metrics/pairwise_fast.c:4688)
def _sparse_manhattan(floating1d X_data, int[:] X_indices, int[:] X_indptr,
File "stringsource", line 644, in View.MemoryView.memoryview_cwrapper (sklearn/metrics/pairwise_fast.c:13277)
File "stringsource", line 345, in View.MemoryView.memoryview.__cinit__ (sklearn/metrics/pairwise_fast.c:9512)
ValueError: buffer source array is read-only
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/volatile/le243287/miniconda3/lib/python3.5/multiprocessing/pool.py", line 119, in worker
result = (True, func(*args, **kwds))
File "/home/le243287/dev/scikit-learn/sklearn/externals/joblib/_parallel_backends.py", line 353, in __call__
raise TransportableException(text, e_type)
sklearn.externals.joblib.my_exceptions.TransportableException: TransportableException
___________________________________________________________________________
ValueError Mon Dec 5 13:19:44 2016
PID: 25869 Python 3.5.2: /volatile/le243287/miniconda3/bin/python
...........................................................................
/home/le243287/dev/scikit-learn/sklearn/externals/joblib/parallel.py in __call__(self=<sklearn.externals.joblib.parallel.BatchedCalls object>)
126 def __init__(self, iterator_slice):
127 self.items = list(iterator_slice)
128 self._size = len(self.items)
129
130 def __call__(self):
--> 131 return [func(*args, **kwargs) for func, args, kwargs in self.items]
self.items = [(<function manhattan_distances>, (<5x5 sparse matrix of type '<class 'numpy.float6... stored elements in Compressed Sparse Row format>, <5x5 sparse matrix of type '<class 'numpy.float6... stored elements in Compressed Sparse Row format>), {})]
132
133 def __len__(self):
134 return self._size
135
...........................................................................
/home/le243287/dev/scikit-learn/sklearn/externals/joblib/parallel.py in <listcomp>(.0=<list_iterator object>)
126 def __init__(self, iterator_slice):
127 self.items = list(iterator_slice)
128 self._size = len(self.items)
129
130 def __call__(self):
--> 131 return [func(*args, **kwargs) for func, args, kwargs in self.items]
func = <function manhattan_distances>
args = (<5x5 sparse matrix of type '<class 'numpy.float6... stored elements in Compressed Sparse Row format>, <5x5 sparse matrix of type '<class 'numpy.float6... stored elements in Compressed Sparse Row format>)
kwargs = {}
132
133 def __len__(self):
134 return self._size
135
...........................................................................
/home/le243287/dev/scikit-learn/sklearn/metrics/pairwise.py in manhattan_distances(X=<5x5 sparse matrix of type '<class 'numpy.float6... stored elements in Compressed Sparse Row format>, Y=<5x5 sparse matrix of type '<class 'numpy.float6... stored elements in Compressed Sparse Row format>, sum_over_features=True, size_threshold=500000000.0)
528 X = csr_matrix(X, copy=False)
529 Y = csr_matrix(Y, copy=False)
530 D = np.zeros((X.shape[0], Y.shape[0]))
531 _sparse_manhattan(X.data, X.indices, X.indptr,
532 Y.data, Y.indices, Y.indptr,
--> 533 X.shape[1], D)
X.shape = (5, 5)
D = array([[ 0., 0., 0., 0., 0.],
[ 0., ...0., 0., 0.],
[ 0., 0., 0., 0., 0.]])
534 return D
535
536 if sum_over_features:
537 return distance.cdist(X, Y, 'cityblock')
...........................................................................
/home/le243287/dev/scikit-learn/sklearn/metrics/pairwise_fast.cpython-35m-x86_64-linux-gnu.so in sklearn.metrics.pairwise_fast._sparse_manhattan (sklearn/metrics/pairwise_fast.c:4688)()
48 if nom != 0:
49 res += denom * denom / nom
50 result[i, j] = -res
51
52
---> 53 def _sparse_manhattan(floating1d X_data, int[:] X_indices, int[:] X_indptr,
54 floating1d Y_data, int[:] Y_indices, int[:] Y_indptr,
55 np.npy_intp n_features, double[:, ::1] D):
56 """Pairwise L1 distances for CSR matrices.
57
...........................................................................
/home/le243287/dev/scikit-learn/sklearn/metrics/pairwise_fast.cpython-35m-x86_64-linux-gnu.so in View.MemoryView.memoryview_cwrapper (sklearn/metrics/pairwise_fast.c:13277)()
639
640
641
642
643
--> 644
645
646
647
648
...........................................................................
/home/le243287/dev/scikit-learn/sklearn/metrics/pairwise_fast.cpython-35m-x86_64-linux-gnu.so in View.MemoryView.memoryview.__cinit__ (sklearn/metrics/pairwise_fast.c:9512)()
340
341
342
343
344
--> 345
346
347
348
349
ValueError: buffer source array is read-only
___________________________________________________________________________
"""
The above exception was the direct cause of the following exception:
TransportableException Traceback (most recent call last)
/home/le243287/dev/scikit-learn/sklearn/externals/joblib/parallel.py in retrieve(self)
681 if 'timeout' in getfullargspec(job.get).args:
--> 682 self._output.extend(job.get(timeout=self.timeout))
683 else:
/volatile/le243287/miniconda3/lib/python3.5/multiprocessing/pool.py in get(self, timeout)
607 else:
--> 608 raise self._value
609
TransportableException: TransportableException
___________________________________________________________________________
ValueError Mon Dec 5 13:19:44 2016
PID: 25869 Python 3.5.2: /volatile/le243287/miniconda3/bin/python
...........................................................................
/home/le243287/dev/scikit-learn/sklearn/externals/joblib/parallel.py in __call__(self=<sklearn.externals.joblib.parallel.BatchedCalls object>)
126 def __init__(self, iterator_slice):
127 self.items = list(iterator_slice)
128 self._size = len(self.items)
129
130 def __call__(self):
--> 131 return [func(*args, **kwargs) for func, args, kwargs in self.items]
self.items = [(<function manhattan_distances>, (<5x5 sparse matrix of type '<class 'numpy.float6... stored elements in Compressed Sparse Row format>, <5x5 sparse matrix of type '<class 'numpy.float6... stored elements in Compressed Sparse Row format>), {})]
132
133 def __len__(self):
134 return self._size
135
...........................................................................
/home/le243287/dev/scikit-learn/sklearn/externals/joblib/parallel.py in <listcomp>(.0=<list_iterator object>)
126 def __init__(self, iterator_slice):
127 self.items = list(iterator_slice)
128 self._size = len(self.items)
129
130 def __call__(self):
--> 131 return [func(*args, **kwargs) for func, args, kwargs in self.items]
func = <function manhattan_distances>
args = (<5x5 sparse matrix of type '<class 'numpy.float6... stored elements in Compressed Sparse Row format>, <5x5 sparse matrix of type '<class 'numpy.float6... stored elements in Compressed Sparse Row format>)
kwargs = {}
132
133 def __len__(self):
134 return self._size
135
...........................................................................
/home/le243287/dev/scikit-learn/sklearn/metrics/pairwise.py in manhattan_distances(X=<5x5 sparse matrix of type '<class 'numpy.float6... stored elements in Compressed Sparse Row format>, Y=<5x5 sparse matrix of type '<class 'numpy.float6... stored elements in Compressed Sparse Row format>, sum_over_features=True, size_threshold=500000000.0)
528 X = csr_matrix(X, copy=False)
529 Y = csr_matrix(Y, copy=False)
530 D = np.zeros((X.shape[0], Y.shape[0]))
531 _sparse_manhattan(X.data, X.indices, X.indptr,
532 Y.data, Y.indices, Y.indptr,
--> 533 X.shape[1], D)
X.shape = (5, 5)
D = array([[ 0., 0., 0., 0., 0.],
[ 0., ...0., 0., 0.],
[ 0., 0., 0., 0., 0.]])
534 return D
535
536 if sum_over_features:
537 return distance.cdist(X, Y, 'cityblock')
...........................................................................
/home/le243287/dev/scikit-learn/sklearn/metrics/pairwise_fast.cpython-35m-x86_64-linux-gnu.so in sklearn.metrics.pairwise_fast._sparse_manhattan (sklearn/metrics/pairwise_fast.c:4688)()
48 if nom != 0:
49 res += denom * denom / nom
50 result[i, j] = -res
51
52
---> 53 def _sparse_manhattan(floating1d X_data, int[:] X_indices, int[:] X_indptr,
54 floating1d Y_data, int[:] Y_indices, int[:] Y_indptr,
55 np.npy_intp n_features, double[:, ::1] D):
56 """Pairwise L1 distances for CSR matrices.
57
...........................................................................
/home/le243287/dev/scikit-learn/sklearn/metrics/pairwise_fast.cpython-35m-x86_64-linux-gnu.so in View.MemoryView.memoryview_cwrapper (sklearn/metrics/pairwise_fast.c:13277)()
639
640
641
642
643
--> 644
645
646
647
648
...........................................................................
/home/le243287/dev/scikit-learn/sklearn/metrics/pairwise_fast.cpython-35m-x86_64-linux-gnu.so in View.MemoryView.memoryview.__cinit__ (sklearn/metrics/pairwise_fast.c:9512)()
340
341
342
343
344
--> 345
346
347
348
349
ValueError: buffer source array is read-only
___________________________________________________________________________
During handling of the above exception, another exception occurred:
JoblibValueError Traceback (most recent call last)
/tmp/test_manhattan.py in <module>()
11 Parallel(n_jobs=2, max_nbytes=0)(
12 delayed(manhattan_distances)(m1, m2)
---> 13 for m1, m2 in zip(matrices1, matrices2))
/home/le243287/dev/scikit-learn/sklearn/externals/joblib/parallel.py in __call__(self, iterable)
766 # consumption.
767 self._iterating = False
--> 768 self.retrieve()
769 # Make sure that we get a last message telling us we are done
770 elapsed_time = time.time() - self._start_time
/home/le243287/dev/scikit-learn/sklearn/externals/joblib/parallel.py in retrieve(self)
717 ensure_ready = self._managed_backend
718 backend.abort_everything(ensure_ready=ensure_ready)
--> 719 raise exception
720
721 def __call__(self, iterable):
JoblibValueError: JoblibValueError
___________________________________________________________________________
Multiprocessing exception:
...........................................................................
/volatile/le243287/miniconda3/bin/ipython in <module>()
1 #!/volatile/le243287/miniconda3/bin/python
2 if __name__ == '__main__':
3 import sys
4 import IPython
5
----> 6 sys.exit(IPython.start_ipython())
7
8
9
10
...........................................................................
/volatile/le243287/miniconda3/lib/python3.5/site-packages/IPython/__init__.py in start_ipython(argv=None, **kwargs={})
114 kwargs : various, optional
115 Any other kwargs will be passed to the Application constructor,
116 such as `config`.
117 """
118 from IPython.terminal.ipapp import launch_new_instance
--> 119 return launch_new_instance(argv=argv, **kwargs)
launch_new_instance = <bound method Application.launch_instance of <class 'IPython.terminal.ipapp.TerminalIPythonApp'>>
argv = None
kwargs = {}
120
121 def start_kernel(argv=None, **kwargs):
122 """Launch a normal IPython kernel instance (as opposed to embedded)
123
...........................................................................
/volatile/le243287/miniconda3/lib/python3.5/site-packages/traitlets/config/application.py in launch_instance(cls=<class 'IPython.terminal.ipapp.TerminalIPythonApp'>, argv=None, **kwargs={})
652 """Launch a global instance of this Application
653
654 If a global instance already exists, this reinitializes and starts it
655 """
656 app = cls.instance(**kwargs)
--> 657 app.initialize(argv)
app.initialize = <bound method TerminalIPythonApp.initialize of <IPython.terminal.ipapp.TerminalIPythonApp object>>
argv = None
658 app.start()
659
660 #-----------------------------------------------------------------------------
661 # utility functions, for convenience
...........................................................................
/home/le243287/dev/scikit-learn/<decorator-gen-109> in initialize(self=<IPython.terminal.ipapp.TerminalIPythonApp object>, argv=None)
1
----> 2
3
4
5
6
7
8
9
10
...........................................................................
/volatile/le243287/miniconda3/lib/python3.5/site-packages/traitlets/config/application.py in catch_config_error(method=<function TerminalIPythonApp.initialize>, app=<IPython.terminal.ipapp.TerminalIPythonApp object>, *args=(None,), **kwargs={})
82 message, and exit the app.
83
84 For use on init methods, to prevent invoking excepthook on invalid input.
85 """
86 try:
---> 87 return method(app, *args, **kwargs)
method = <function TerminalIPythonApp.initialize>
app = <IPython.terminal.ipapp.TerminalIPythonApp object>
args = (None,)
kwargs = {}
88 except (TraitError, ArgumentError) as e:
89 app.print_help()
90 app.log.fatal("Bad config encountered during initialization:")
91 app.log.fatal(str(e))
...........................................................................
/volatile/le243287/miniconda3/lib/python3.5/site-packages/IPython/terminal/ipapp.py in initialize(self=<IPython.terminal.ipapp.TerminalIPythonApp object>, argv=None)
310 # and draw the banner
311 self.init_banner()
312 # Now a variety of things that happen after the banner is printed.
313 self.init_gui_pylab()
314 self.init_extensions()
--> 315 self.init_code()
self.init_code = <bound method InteractiveShellApp.init_code of <IPython.terminal.ipapp.TerminalIPythonApp object>>
316
317 def init_shell(self):
318 """initialize the InteractiveShell instance"""
319 # Create an InteractiveShell instance.
...........................................................................
/volatile/le243287/miniconda3/lib/python3.5/site-packages/IPython/core/shellapp.py in init_code(self=<IPython.terminal.ipapp.TerminalIPythonApp object>)
268 if self.hide_initial_ns:
269 self.shell.user_ns_hidden.update(self.shell.user_ns)
270
271 # command-line execution (ipython -i script.py, ipython -m module)
272 # should *not* be excluded from %whos
--> 273 self._run_cmd_line_code()
self._run_cmd_line_code = <bound method InteractiveShellApp._run_cmd_line_...Python.terminal.ipapp.TerminalIPythonApp object>>
274 self._run_module()
275
276 # flush output, so itwon't be attached to the first cell
277 sys.stdout.flush()
...........................................................................
/volatile/le243287/miniconda3/lib/python3.5/site-packages/IPython/core/shellapp.py in _run_cmd_line_code(self=<IPython.terminal.ipapp.TerminalIPythonApp object>)
389 elif self.file_to_run:
390 fname = self.file_to_run
391 if os.path.isdir(fname):
392 fname = os.path.join(fname, "__main__.py")
393 try:
--> 394 self._exec_file(fname, shell_futures=True)
self._exec_file = <bound method InteractiveShellApp._exec_file of <IPython.terminal.ipapp.TerminalIPythonApp object>>
fname = '/tmp/test_manhattan.py'
395 except:
396 self.shell.showtraceback(tb_offset=4)
397 if not self.interact:
398 self.exit(1)
...........................................................................
/volatile/le243287/miniconda3/lib/python3.5/site-packages/IPython/core/shellapp.py in _exec_file(self=<IPython.terminal.ipapp.TerminalIPythonApp object>, fname='/tmp/test_manhattan.py', shell_futures=True)
323 else:
324 # default to python, even without extension
325 self.shell.safe_execfile(full_filename,
326 self.shell.user_ns,
327 shell_futures=shell_futures,
--> 328 raise_exceptions=True)
329 finally:
330 sys.argv = save_argv
331
332 def _run_startup_files(self):
...........................................................................
/volatile/le243287/miniconda3/lib/python3.5/site-packages/IPython/core/interactiveshell.py in safe_execfile(self=<IPython.terminal.interactiveshell.TerminalInteractiveShell object>, fname='/tmp/test_manhattan.py', *where=({'In': [''], 'Out': {}, 'Parallel': <class 'sklearn.externals.joblib.parallel.Parallel'>, '_': '', '__': '', '___': '', '__builtin__': <module 'builtins' (built-in)>, '__builtins__': <module 'builtins' (built-in)>, '__doc__': 'Automatically created module for IPython interactive environment', '__file__': '/tmp/test_manhattan.py', ...},), **kw={'exit_ignore': False, 'raise_exceptions': True, 'shell_futures': True})
2476 with prepended_to_syspath(dname), self.builtin_trap:
2477 try:
2478 glob, loc = (where + (None, ))[:2]
2479 py3compat.execfile(
2480 fname, glob, loc,
-> 2481 self.compile if kw['shell_futures'] else None)
self.compile = <IPython.core.compilerop.CachingCompiler object>
kw = {'exit_ignore': False, 'raise_exceptions': True, 'shell_futures': True}
2482 except SystemExit as status:
2483 # If the call was made with 0 or None exit status (sys.exit(0)
2484 # or sys.exit() ), don't bother showing a traceback, as both of
2485 # these are considered normal by the OS:
...........................................................................
/volatile/le243287/miniconda3/lib/python3.5/site-packages/IPython/utils/py3compat.py in execfile(fname='/tmp/test_manhattan.py', glob={'In': [''], 'Out': {}, 'Parallel': <class 'sklearn.externals.joblib.parallel.Parallel'>, '_': '', '__': '', '___': '', '__builtin__': <module 'builtins' (built-in)>, '__builtins__': <module 'builtins' (built-in)>, '__doc__': 'Automatically created module for IPython interactive environment', '__file__': '/tmp/test_manhattan.py', ...}, loc={'In': [''], 'Out': {}, 'Parallel': <class 'sklearn.externals.joblib.parallel.Parallel'>, '_': '', '__': '', '___': '', '__builtin__': <module 'builtins' (built-in)>, '__builtins__': <module 'builtins' (built-in)>, '__doc__': 'Automatically created module for IPython interactive environment', '__file__': '/tmp/test_manhattan.py', ...}, compiler=<IPython.core.compilerop.CachingCompiler object>)
181
182 def execfile(fname, glob, loc=None, compiler=None):
183 loc = loc if (loc is not None) else glob
184 with open(fname, 'rb') as f:
185 compiler = compiler or compile
--> 186 exec(compiler(f.read(), fname, 'exec'), glob, loc)
compiler = <IPython.core.compilerop.CachingCompiler object>
f.read = <built-in method read of _io.BufferedReader object>
fname = '/tmp/test_manhattan.py'
glob = {'In': [''], 'Out': {}, 'Parallel': <class 'sklearn.externals.joblib.parallel.Parallel'>, '_': '', '__': '', '___': '', '__builtin__': <module 'builtins' (built-in)>, '__builtins__': <module 'builtins' (built-in)>, '__doc__': 'Automatically created module for IPython interactive environment', '__file__': '/tmp/test_manhattan.py', ...}
loc = {'In': [''], 'Out': {}, 'Parallel': <class 'sklearn.externals.joblib.parallel.Parallel'>, '_': '', '__': '', '___': '', '__builtin__': <module 'builtins' (built-in)>, '__builtins__': <module 'builtins' (built-in)>, '__doc__': 'Automatically created module for IPython interactive environment', '__file__': '/tmp/test_manhattan.py', ...}
187
188 # Refactor print statements in doctests.
189 _print_statement_re = re.compile(r"\bprint (?P<expr>.*)$", re.MULTILINE)
190 def _print_statement_sub(match):
...........................................................................
/tmp/test_manhattan.py in <module>()
8 matrices1 = [csr_matrix(np.ones((5, 5)))]
9 matrices2 = [csr_matrix(np.ones((5, 5)))]
10
11 Parallel(n_jobs=2, max_nbytes=0)(
12 delayed(manhattan_distances)(m1, m2)
---> 13 for m1, m2 in zip(matrices1, matrices2))
14
15
16
17
...........................................................................
/home/le243287/dev/scikit-learn/sklearn/externals/joblib/parallel.py in __call__(self=Parallel(n_jobs=2), iterable=<generator object <genexpr>>)
763 if pre_dispatch == "all" or n_jobs == 1:
764 # The iterable was consumed all at once by the above for loop.
765 # No need to wait for async callbacks to trigger to
766 # consumption.
767 self._iterating = False
--> 768 self.retrieve()
self.retrieve = <bound method Parallel.retrieve of Parallel(n_jobs=2)>
769 # Make sure that we get a last message telling us we are done
770 elapsed_time = time.time() - self._start_time
771 self._print('Done %3i out of %3i | elapsed: %s finished',
772 (len(self._output), len(self._output),
---------------------------------------------------------------------------
Sub-process traceback:
---------------------------------------------------------------------------
ValueError Mon Dec 5 13:19:44 2016
PID: 25869 Python 3.5.2: /volatile/le243287/miniconda3/bin/python
...........................................................................
/home/le243287/dev/scikit-learn/sklearn/externals/joblib/parallel.py in __call__(self=<sklearn.externals.joblib.parallel.BatchedCalls object>)
126 def __init__(self, iterator_slice):
127 self.items = list(iterator_slice)
128 self._size = len(self.items)
129
130 def __call__(self):
--> 131 return [func(*args, **kwargs) for func, args, kwargs in self.items]
self.items = [(<function manhattan_distances>, (<5x5 sparse matrix of type '<class 'numpy.float6... stored elements in Compressed Sparse Row format>, <5x5 sparse matrix of type '<class 'numpy.float6... stored elements in Compressed Sparse Row format>), {})]
132
133 def __len__(self):
134 return self._size
135
...........................................................................
/home/le243287/dev/scikit-learn/sklearn/externals/joblib/parallel.py in <listcomp>(.0=<list_iterator object>)
126 def __init__(self, iterator_slice):
127 self.items = list(iterator_slice)
128 self._size = len(self.items)
129
130 def __call__(self):
--> 131 return [func(*args, **kwargs) for func, args, kwargs in self.items]
func = <function manhattan_distances>
args = (<5x5 sparse matrix of type '<class 'numpy.float6... stored elements in Compressed Sparse Row format>, <5x5 sparse matrix of type '<class 'numpy.float6... stored elements in Compressed Sparse Row format>)
kwargs = {}
132
133 def __len__(self):
134 return self._size
135
...........................................................................
/home/le243287/dev/scikit-learn/sklearn/metrics/pairwise.py in manhattan_distances(X=<5x5 sparse matrix of type '<class 'numpy.float6... stored elements in Compressed Sparse Row format>, Y=<5x5 sparse matrix of type '<class 'numpy.float6... stored elements in Compressed Sparse Row format>, sum_over_features=True, size_threshold=500000000.0)
528 X = csr_matrix(X, copy=False)
529 Y = csr_matrix(Y, copy=False)
530 D = np.zeros((X.shape[0], Y.shape[0]))
531 _sparse_manhattan(X.data, X.indices, X.indptr,
532 Y.data, Y.indices, Y.indptr,
--> 533 X.shape[1], D)
X.shape = (5, 5)
D = array([[ 0., 0., 0., 0., 0.],
[ 0., ...0., 0., 0.],
[ 0., 0., 0., 0., 0.]])
534 return D
535
536 if sum_over_features:
537 return distance.cdist(X, Y, 'cityblock')
...........................................................................
/home/le243287/dev/scikit-learn/sklearn/metrics/pairwise_fast.cpython-35m-x86_64-linux-gnu.so in sklearn.metrics.pairwise_fast._sparse_manhattan (sklearn/metrics/pairwise_fast.c:4688)()
48 if nom != 0:
49 res += denom * denom / nom
50 result[i, j] = -res
51
52
---> 53 def _sparse_manhattan(floating1d X_data, int[:] X_indices, int[:] X_indptr,
54 floating1d Y_data, int[:] Y_indices, int[:] Y_indptr,
55 np.npy_intp n_features, double[:, ::1] D):
56 """Pairwise L1 distances for CSR matrices.
57
...........................................................................
/home/le243287/dev/scikit-learn/sklearn/metrics/pairwise_fast.cpython-35m-x86_64-linux-gnu.so in View.MemoryView.memoryview_cwrapper (sklearn/metrics/pairwise_fast.c:13277)()
639
640
641
642
643
--> 644
645
646
647
648
...........................................................................
/home/le243287/dev/scikit-learn/sklearn/metrics/pairwise_fast.cpython-35m-x86_64-linux-gnu.so in View.MemoryView.memoryview.__cinit__ (sklearn/metrics/pairwise_fast.c:9512)()
340
341
342
343
344
--> 345
346
347
348
349
ValueError: buffer source array is read-only
___________________________________________________________________________