def start_python_console(namespace=None, noipython=False, banner=''):
"""Start Python console binded to the given namespace. If IPython is
available, an IPython console will be started instead, unless `noipython`
is True. Also, tab completion will be used on Unix systems.
"""
if namespace is None:
namespace = {}
try:
try: # use IPython if available
if noipython:
raise ImportError()
try:
try:
from IPython.terminal import embed
except ImportError:
from IPython.frontend.terminal import embed
sh = embed.InteractiveShellEmbed(banner1=banner)
except ImportError:
from IPython.Shell import IPShellEmbed
sh = IPShellEmbed(banner=banner)
sh(global_ns={}, local_ns=namespace)
except ImportError:
import code
try: # readline module is only available on unix systems
import readline
except ImportError:
pass
else:
import rlcompleter
readline.parse_and_bind("tab:complete")
code.interact(banner=banner, local=namespace)
except SystemExit: # raised when using exit() in python code.interact
pass
def main():
_ipython_shell = _ipython.InteractiveShellEmbed()
_ipython_shell.banner1 = ''
_ipython_shell.confirm_exit = False
app = App()
_ipython_shell()
app.__exit__()
def _Main():
options = _ParseArguments()
_ConfigureLogging(options.loglevel)
self = ControllerClient(options.url, options.username, options.password)
from IPython.terminal import embed
ipshell = embed.InteractiveShellEmbed(config=embed.load_default_config())(local_ns=locals())
def draw(self):
fig, ax = plt.subplots()
ax.axis('equal')
#ax.set_aspect('equal', adjustable='box')
patch = PolygonPatch(self.poly, facecolor='#6699cc', linewidth=2)
ax.add_patch(patch)
ax.add_collection(mc.LineCollection(self.ridges, linewidths=1))
from IPython.terminal import embed
ipshell = embed.InteractiveShellEmbed(
config=embed.load_default_config())(local_ns=locals())
#ax.autoscale()
ax.margins(0.1)
plt.show()
def start_shell(local_ns: Dict = None, banner: str = ''):
"""Create and immediately drop into a Python shell.
If IPython version 5 or greater is available it will be used instead
of the built-in python shell.
:param local_ns: An optional dict containing the global namespace of
the newly created shell.
:param banner: An optional banner to render when terminal starts.
"""
if IPYTHON_SHELL_AVAILABLE:
# Don't try to stop IPython from displaying its banner, since
# it's different in every major version
terminal = embed.InteractiveShellEmbed(user_ns={})
terminal.mainloop(local_ns=local_ns)
else:
code.interact(banner=banner, local=local_ns)
def _compute_A(self, ts, knots):
n = len(ts) - 1
A = np.zeros([n + 3, n + 3])
for i in range(1, n + 2):
for j in range(i - 1, i + 2):
try:
A[i, j] = self._basis_func(j, ts[i - 1], knots)
except Exception as e:
from IPython.terminal import embed
ipshell = embed.InteractiveShellEmbed(
config=embed.load_default_config())(local_ns=locals())
for j in range(0, 3):
A[0, j] = self._basis_func_2diff(j, ts[0], knots)
for j in range(n, n + 3):
A[n + 2, j] = self._basis_func_2diff(j, ts[n], knots)
return A
def Shell(user_session):
# This should bring back the old autocall behaviour. e.g.:
# In [1]: pslist
cfg = Config()
cfg.InteractiveShellEmbed.autocall = 2
cfg.PromptManager.in_template = (
r'{color.LightCyan}'
r'{session.state.base_filename}'
r'{color.LightBlue}{color.Green} \T> ')
cfg.PromptManager.in2_template = (
r'{color.Green}|{color.LightGreen}\D{color.Green}> ')
cfg.PromptManager.out_template = r'Out<\#> '
cfg.InteractiveShell.separate_in = ''
cfg.InteractiveShell.separate_out = ''
cfg.InteractiveShell.separate_out2 = ''
shell = embed.InteractiveShellEmbed(
config=cfg, user_ns=user_session._locals)
shell.Completer.merge_completions = False
shell.banner = constants.BANNER
shell.exit_msg = constants.GetQuote()
shell.set_custom_completer(RekallCompleter, 0)
# Do we need to pre-run something?
if user_session.run is not None:
execfile(user_session.run, user_session._locals)
# Workaround for completer bug.
import IPython.core.completerlib
IPython.core.completerlib.get_ipython = lambda: shell
# Set known delimeters for the completer. This varies by OS so we need to
# set it to ensure consistency.
readline.set_completer_delims(' \t\n`!@#$^&*()=+[{]}\\|;:\'",<>?')
shell(local_ns=user_session._locals)
return True
import sympy
u = sympy.symbols('u')
u0, u1, u2, u3, u4 = sympy.symbols('u:5')
expr0 = (u - u0)**3 / ((u1 - u0) * (u2 - u0) * (u3 - u0))
expr1 = ((u - u0)**2 * (u2 - u)) / ((u2 - u1)*(u3 - u0)*(u2 - u0)) \
+ ((u3 - u) * (u - u0) * (u - u1)) / ((u2 - u1)*(u3 - u1)*(u3 - u0)) \
+ (u4 - u) * (u - u1)**2 / ((u2 - u1)*(u4 - u1)*(u3 - u1))
expr2 = ((u - u0) * (u3 - u)**2) / ((u3 - u2)*(u3 - u1)*(u3 - u1)) \
+ ((u4 - u) * (u3 - u) * (u - u1)) / ((u3 - u2)*(u4 - u1)*(u3 - u1)) \
+ (u4 - u)**2 * (u - u2) / ((u3 - u2)*(u4 - u2)*(u4 - u1))
expr3 = (u4 - u)**3 / ((u4 - u3) * (u4 - u2) * (u4 - u1))
print(sympy.simplify(expr0.diff(u).diff(u)))
print(sympy.simplify(expr1.diff(u).diff(u)))
print(sympy.simplify(expr2.diff(u).diff(u)))
print(sympy.simplify(expr3.diff(u).diff(u)))
# 6*(-u + u0)/((u0 - u1)*(u0 - u2)*(u0 - u3))
# 2*((u0 - u2)*(u0 - u3)*(3*u - 2*u1 - u4) + (u0 - u2)*(u1 - u4)*(3*u - u0 - u1 - u3) + (u1 - u3)*(u1 - u4)*(3*u - 2*u0 - u2))/((u0 - u2)*(u0 - u3)*(u1 - u2)*(u1 - u3)*(u1 - u4))
# 2*((u1 - u3)**2*(-3*u + u2 + 2*u4) + (u1 - u3)*(u2 - u4)*(-3*u + u1 + u3 + u4) + (u1 - u4)*(u2 - u4)*(-3*u + u0 + 2*u3))/((u1 - u3)**2*(u1 - u4)*(u2 - u3)*(u2 - u4))
# 6*(u - u4)/((u1 - u4)*(u2 - u4)*(u3 - u4))
from IPython.terminal import embed
ipshell = embed.InteractiveShellEmbed(config=embed.load_default_config())(
local_ns=locals())
"area": torch.tensor(area),
"iscrowd": torch.tensor(is_crowd)
}
# img, target = self.transforms(img, target)
return img, target
if __name__ == '__main__':
#import transforms as T
#transforms = []
#transforms.append(T.ToTensor())
#transforms.append(T.RandomHorizontalFlip(0.5))
#transforms = T.Compose(transforms)
import albumentations
from albumentations.pytorch.transforms import ToTensorV2
data_transforms = albumentations.Compose([
albumentations.Flip(),
#albumentations.RandomBrightness(0.2),
albumentations.ShiftScaleRotate(rotate_limit=90, scale_limit=0.10),
#albumentations.Normalize(),
#albumentations.Resize(512, 512),
#ToTensorV2()
], bbox_params=albumentations.BboxParams(format='pascal_voc', label_fields=['class_labels'])) # min_visibility=0.2
#self = DSB('/home/leus/3rdparty/github.com/ompugao/dm6190/2_segmentationreview/data-science-bowl-2018/', image_set="stage1_train", transforms=data_transforms)
import preprocess
preprocessfn = preprocess.ImagePreProcessor1('./kmeans.pkl')
self = DSB('/home/leus/3rdparty/github.com/ompugao/dm6190/2_segmentationreview/data-science-bowl-2018/', image_set="stage1_train", transforms=data_transforms, preprocessfn=preprocessfn)
from IPython.terminal import embed; ipshell=embed.InteractiveShellEmbed(config=embed.load_default_config())(local_ns=locals())