def __init__(self):
codeop.Compile.__init__(self)
# This is ugly, but it must be done this way to allow multiple
# simultaneous ipython instances to coexist. Since Python itself
# directly accesses the data structures in the linecache module, and
# the cache therein is global, we must work with that data structure.
# We must hold a reference to the original checkcache routine and call
# that in our own check_cache() below, but the special IPython cache
# must also be shared by all IPython instances. If we were to hold
# separate caches (one in each CachingCompiler instance), any call made
# by Python itself to linecache.checkcache() would obliterate the
# cached data from the other IPython instances.
if not hasattr(linecache, '_ipython_cache'):
linecache._ipython_cache = {}
if not hasattr(linecache, '_checkcache_ori'):
linecache._checkcache_ori = linecache.checkcache
# Now, we must monkeypatch the linecache directly so that parts of the
# stdlib that call it outside our control go through our codepath
# (otherwise we'd lose our tracebacks).
linecache.checkcache = check_linecache_ipython
python类_ipython_cache()的实例源码
def cache(self, code, number=0):
"""Make a name for a block of code, and cache the code.
Parameters
----------
code : str
The Python source code to cache.
number : int
A number which forms part of the code's name. Used for the execution
counter.
Returns
-------
The name of the cached code (as a string). Pass this as the filename
argument to compilation, so that tracebacks are correctly hooked up.
"""
name = code_name(code, number)
entry = (len(code), time.time(),
[line+'\n' for line in code.splitlines()], name)
linecache.cache[name] = entry
linecache._ipython_cache[name] = entry
return name
def __init__(self):
codeop.Compile.__init__(self)
# This is ugly, but it must be done this way to allow multiple
# simultaneous ipython instances to coexist. Since Python itself
# directly accesses the data structures in the linecache module, and
# the cache therein is global, we must work with that data structure.
# We must hold a reference to the original checkcache routine and call
# that in our own check_cache() below, but the special IPython cache
# must also be shared by all IPython instances. If we were to hold
# separate caches (one in each CachingCompiler instance), any call made
# by Python itself to linecache.checkcache() would obliterate the
# cached data from the other IPython instances.
if not hasattr(linecache, '_ipython_cache'):
linecache._ipython_cache = {}
if not hasattr(linecache, '_checkcache_ori'):
linecache._checkcache_ori = linecache.checkcache
# Now, we must monkeypatch the linecache directly so that parts of the
# stdlib that call it outside our control go through our codepath
# (otherwise we'd lose our tracebacks).
linecache.checkcache = check_linecache_ipython
def cache(self, code, number=0):
"""Make a name for a block of code, and cache the code.
Parameters
----------
code : str
The Python source code to cache.
number : int
A number which forms part of the code's name. Used for the execution
counter.
Returns
-------
The name of the cached code (as a string). Pass this as the filename
argument to compilation, so that tracebacks are correctly hooked up.
"""
name = code_name(code, number)
entry = (len(code), time.time(),
[line+'\n' for line in code.splitlines()], name)
linecache.cache[name] = entry
linecache._ipython_cache[name] = entry
return name
def __init__(self):
codeop.Compile.__init__(self)
# This is ugly, but it must be done this way to allow multiple
# simultaneous ipython instances to coexist. Since Python itself
# directly accesses the data structures in the linecache module, and
# the cache therein is global, we must work with that data structure.
# We must hold a reference to the original checkcache routine and call
# that in our own check_cache() below, but the special IPython cache
# must also be shared by all IPython instances. If we were to hold
# separate caches (one in each CachingCompiler instance), any call made
# by Python itself to linecache.checkcache() would obliterate the
# cached data from the other IPython instances.
if not hasattr(linecache, '_ipython_cache'):
linecache._ipython_cache = {}
if not hasattr(linecache, '_checkcache_ori'):
linecache._checkcache_ori = linecache.checkcache
# Now, we must monkeypatch the linecache directly so that parts of the
# stdlib that call it outside our control go through our codepath
# (otherwise we'd lose our tracebacks).
linecache.checkcache = check_linecache_ipython
def cache(self, code, number=0):
"""Make a name for a block of code, and cache the code.
Parameters
----------
code : str
The Python source code to cache.
number : int
A number which forms part of the code's name. Used for the execution
counter.
Returns
-------
The name of the cached code (as a string). Pass this as the filename
argument to compilation, so that tracebacks are correctly hooked up.
"""
name = code_name(code, number)
entry = (len(code), time.time(),
[line+'\n' for line in code.splitlines()], name)
linecache.cache[name] = entry
linecache._ipython_cache[name] = entry
return name
def __init__(self):
codeop.Compile.__init__(self)
# This is ugly, but it must be done this way to allow multiple
# simultaneous ipython instances to coexist. Since Python itself
# directly accesses the data structures in the linecache module, and
# the cache therein is global, we must work with that data structure.
# We must hold a reference to the original checkcache routine and call
# that in our own check_cache() below, but the special IPython cache
# must also be shared by all IPython instances. If we were to hold
# separate caches (one in each CachingCompiler instance), any call made
# by Python itself to linecache.checkcache() would obliterate the
# cached data from the other IPython instances.
if not hasattr(linecache, '_ipython_cache'):
linecache._ipython_cache = {}
if not hasattr(linecache, '_checkcache_ori'):
linecache._checkcache_ori = linecache.checkcache
# Now, we must monkeypatch the linecache directly so that parts of the
# stdlib that call it outside our control go through our codepath
# (otherwise we'd lose our tracebacks).
linecache.checkcache = check_linecache_ipython
def cache(self, code, number=0):
"""Make a name for a block of code, and cache the code.
Parameters
----------
code : str
The Python source code to cache.
number : int
A number which forms part of the code's name. Used for the execution
counter.
Returns
-------
The name of the cached code (as a string). Pass this as the filename
argument to compilation, so that tracebacks are correctly hooked up.
"""
name = code_name(code, number)
entry = (len(code), time.time(),
[line+'\n' for line in code.splitlines()], name)
linecache.cache[name] = entry
linecache._ipython_cache[name] = entry
return name
def __init__(self):
codeop.Compile.__init__(self)
# This is ugly, but it must be done this way to allow multiple
# simultaneous ipython instances to coexist. Since Python itself
# directly accesses the data structures in the linecache module, and
# the cache therein is global, we must work with that data structure.
# We must hold a reference to the original checkcache routine and call
# that in our own check_cache() below, but the special IPython cache
# must also be shared by all IPython instances. If we were to hold
# separate caches (one in each CachingCompiler instance), any call made
# by Python itself to linecache.checkcache() would obliterate the
# cached data from the other IPython instances.
if not hasattr(linecache, '_ipython_cache'):
linecache._ipython_cache = {}
if not hasattr(linecache, '_checkcache_ori'):
linecache._checkcache_ori = linecache.checkcache
# Now, we must monkeypatch the linecache directly so that parts of the
# stdlib that call it outside our control go through our codepath
# (otherwise we'd lose our tracebacks).
linecache.checkcache = check_linecache_ipython
def cache(self, code, number=0):
"""Make a name for a block of code, and cache the code.
Parameters
----------
code : str
The Python source code to cache.
number : int
A number which forms part of the code's name. Used for the execution
counter.
Returns
-------
The name of the cached code (as a string). Pass this as the filename
argument to compilation, so that tracebacks are correctly hooked up.
"""
name = code_name(code, number)
entry = (len(code), time.time(),
[line+'\n' for line in code.splitlines()], name)
linecache.cache[name] = entry
linecache._ipython_cache[name] = entry
return name
def check_linecache_ipython(*args):
"""Call linecache.checkcache() safely protecting our cached values.
"""
# First call the orignal checkcache as intended
linecache._checkcache_ori(*args)
# Then, update back the cache with our data, so that tracebacks related
# to our compiled codes can be produced.
linecache.cache.update(linecache._ipython_cache)
def check_linecache_ipython(*args):
"""Call linecache.checkcache() safely protecting our cached values.
"""
# First call the orignal checkcache as intended
linecache._checkcache_ori(*args)
# Then, update back the cache with our data, so that tracebacks related
# to our compiled codes can be produced.
linecache.cache.update(linecache._ipython_cache)
def check_linecache_ipython(*args):
"""Call linecache.checkcache() safely protecting our cached values.
"""
# First call the orignal checkcache as intended
linecache._checkcache_ori(*args)
# Then, update back the cache with our data, so that tracebacks related
# to our compiled codes can be produced.
linecache.cache.update(linecache._ipython_cache)
def check_linecache_ipython(*args):
"""Call linecache.checkcache() safely protecting our cached values.
"""
# First call the orignal checkcache as intended
linecache._checkcache_ori(*args)
# Then, update back the cache with our data, so that tracebacks related
# to our compiled codes can be produced.
linecache.cache.update(linecache._ipython_cache)
def check_linecache_ipython(*args):
"""Call linecache.checkcache() safely protecting our cached values.
"""
# First call the orignal checkcache as intended
linecache._checkcache_ori(*args)
# Then, update back the cache with our data, so that tracebacks related
# to our compiled codes can be produced.
linecache.cache.update(linecache._ipython_cache)
