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<|file_name|>serializers.py<|end_file_name|><｜fim▁begin｜>"""Deprecated import support. Auto-generated by import_shims/generate_shims.sh."""
# pylint: disable=redefined-builtin,wrong-import-position,wildcard-import,useless-suppression,line-too-long
from import_shims.warn import warn_deprecated_import<｜fim▁hole｜>
warn_deprecated_import('contentstore.rest_api.v1.serializers', 'cms.djangoapps.contentstore.rest_api.v1.serializers')
from cms.djangoapps.contentstore.rest_api.v1.serializers import *<｜fim▁end｜> | |
<|file_name|>spectrometers.py<|end_file_name|><｜fim▁begin｜>### import ####################################################################
import pycmds.project.classes as pc
import pycmds.hardware.hardware as hw
import pathlib
import appdirs
import toml
import yaqc
### driver ####################################################################
class Driver(hw.Driver):
def __init__(self, *args, **kwargs):
self._yaqd_port = kwargs.pop("yaqd_port")
super().__init__(*args, **kwargs)
self.grating_index = pc.Combo(
name="Grating",
allowed_values=[1, 2],
section=self.name,
option="grating_index",
display=True,
set_method="set_turret",
)
self.exposed.append(self.grating_index)
def get_position(self):
native_position = self.ctrl.get_position()
self.position.write(native_position, self.native_units)
return self.position.read()
def initialize(self, *args, **kwargs):
# open control
self.ctrl = yaqc.Client(self._yaqd_port)
# import some information from control
id_dict = self.ctrl.id()
self.serial_number = id_dict["serial"]
self.position.write(self.ctrl.get_position())
# recorded
self.recorded[self.name] = [self.position, self.native_units, 1.0, "m", False]
self.wait_until_still()
# finish
self.initialized.write(True)
self.initialized_signal.emit()
def is_busy(self):
return self.ctrl.busy()
def set_position(self, destination):
self.ctrl.set_position(float(destination))
self.wait_until_still()
def set_turret(self, destination_index):
if type(destination_index) == list:
destination_index = destination_index[0]
# turret index on ActiveX call starts from zero<｜fim▁hole｜> self.limits.write(*self.ctrl.get_limits(), self.native_units)
### gui #######################################################################
class GUI(hw.GUI):
pass
### hardware ##################################################################
class Hardware(hw.Hardware):
def __init__(self, *args, **kwargs):
self.kind = "spectrometer"
hw.Hardware.__init__(self, *args, **kwargs)
### import ####################################################################
conf = pathlib.Path(appdirs.user_config_dir("pycmds", "pycmds")) / "config.toml"
conf = toml.load(conf)
hardwares, gui, advanced_gui = hw.import_hardwares(
conf.get("hardware", {}).get("spectrometers", {}),
name="Spectrometers",
Driver=Driver,
GUI=GUI,
Hardware=Hardware,
)<｜fim▁end｜> | destination_index_zero_based = int(destination_index) - 1
self.ctrl.set_turret(destination_index_zero_based)
self.grating_index.write(destination_index)
self.wait_until_still() |
<|file_name|>spectrometers.py<|end_file_name|><｜fim▁begin｜>### import ####################################################################
import pycmds.project.classes as pc
import pycmds.hardware.hardware as hw
import pathlib
import appdirs
import toml
import yaqc
### driver ####################################################################
class Driver(hw.Driver):
<|fim_middle|>
### gui #######################################################################
class GUI(hw.GUI):
pass
### hardware ##################################################################
class Hardware(hw.Hardware):
def __init__(self, *args, **kwargs):
self.kind = "spectrometer"
hw.Hardware.__init__(self, *args, **kwargs)
### import ####################################################################
conf = pathlib.Path(appdirs.user_config_dir("pycmds", "pycmds")) / "config.toml"
conf = toml.load(conf)
hardwares, gui, advanced_gui = hw.import_hardwares(
conf.get("hardware", {}).get("spectrometers", {}),
name="Spectrometers",
Driver=Driver,
GUI=GUI,
Hardware=Hardware,
)
<｜fim▁end｜> | def __init__(self, *args, **kwargs):
self._yaqd_port = kwargs.pop("yaqd_port")
super().__init__(*args, **kwargs)
self.grating_index = pc.Combo(
name="Grating",
allowed_values=[1, 2],
section=self.name,
option="grating_index",
display=True,
set_method="set_turret",
)
self.exposed.append(self.grating_index)
def get_position(self):
native_position = self.ctrl.get_position()
self.position.write(native_position, self.native_units)
return self.position.read()
def initialize(self, *args, **kwargs):
# open control
self.ctrl = yaqc.Client(self._yaqd_port)
# import some information from control
id_dict = self.ctrl.id()
self.serial_number = id_dict["serial"]
self.position.write(self.ctrl.get_position())
# recorded
self.recorded[self.name] = [self.position, self.native_units, 1.0, "m", False]
self.wait_until_still()
# finish
self.initialized.write(True)
self.initialized_signal.emit()
def is_busy(self):
return self.ctrl.busy()
def set_position(self, destination):
self.ctrl.set_position(float(destination))
self.wait_until_still()
def set_turret(self, destination_index):
if type(destination_index) == list:
destination_index = destination_index[0]
# turret index on ActiveX call starts from zero
destination_index_zero_based = int(destination_index) - 1
self.ctrl.set_turret(destination_index_zero_based)
self.grating_index.write(destination_index)
self.wait_until_still()
self.limits.write(*self.ctrl.get_limits(), self.native_units) |
<|file_name|>spectrometers.py<|end_file_name|><｜fim▁begin｜>### import ####################################################################
import pycmds.project.classes as pc
import pycmds.hardware.hardware as hw
import pathlib
import appdirs
import toml
import yaqc
### driver ####################################################################
class Driver(hw.Driver):
def __init__(self, *args, **kwargs):
<|fim_middle|>
def get_position(self):
native_position = self.ctrl.get_position()
self.position.write(native_position, self.native_units)
return self.position.read()
def initialize(self, *args, **kwargs):
# open control
self.ctrl = yaqc.Client(self._yaqd_port)
# import some information from control
id_dict = self.ctrl.id()
self.serial_number = id_dict["serial"]
self.position.write(self.ctrl.get_position())
# recorded
self.recorded[self.name] = [self.position, self.native_units, 1.0, "m", False]
self.wait_until_still()
# finish
self.initialized.write(True)
self.initialized_signal.emit()
def is_busy(self):
return self.ctrl.busy()
def set_position(self, destination):
self.ctrl.set_position(float(destination))
self.wait_until_still()
def set_turret(self, destination_index):
if type(destination_index) == list:
destination_index = destination_index[0]
# turret index on ActiveX call starts from zero
destination_index_zero_based = int(destination_index) - 1
self.ctrl.set_turret(destination_index_zero_based)
self.grating_index.write(destination_index)
self.wait_until_still()
self.limits.write(*self.ctrl.get_limits(), self.native_units)
### gui #######################################################################
class GUI(hw.GUI):
pass
### hardware ##################################################################
class Hardware(hw.Hardware):
def __init__(self, *args, **kwargs):
self.kind = "spectrometer"
hw.Hardware.__init__(self, *args, **kwargs)
### import ####################################################################
conf = pathlib.Path(appdirs.user_config_dir("pycmds", "pycmds")) / "config.toml"
conf = toml.load(conf)
hardwares, gui, advanced_gui = hw.import_hardwares(
conf.get("hardware", {}).get("spectrometers", {}),
name="Spectrometers",
Driver=Driver,
GUI=GUI,
Hardware=Hardware,
)
<｜fim▁end｜> | self._yaqd_port = kwargs.pop("yaqd_port")
super().__init__(*args, **kwargs)
self.grating_index = pc.Combo(
name="Grating",
allowed_values=[1, 2],
section=self.name,
option="grating_index",
display=True,
set_method="set_turret",
)
self.exposed.append(self.grating_index) |
<|file_name|>spectrometers.py<|end_file_name|><｜fim▁begin｜>### import ####################################################################
import pycmds.project.classes as pc
import pycmds.hardware.hardware as hw
import pathlib
import appdirs
import toml
import yaqc
### driver ####################################################################
class Driver(hw.Driver):
def __init__(self, *args, **kwargs):
self._yaqd_port = kwargs.pop("yaqd_port")
super().__init__(*args, **kwargs)
self.grating_index = pc.Combo(
name="Grating",
allowed_values=[1, 2],
section=self.name,
option="grating_index",
display=True,
set_method="set_turret",
)
self.exposed.append(self.grating_index)
def get_position(self):
<|fim_middle|>
def initialize(self, *args, **kwargs):
# open control
self.ctrl = yaqc.Client(self._yaqd_port)
# import some information from control
id_dict = self.ctrl.id()
self.serial_number = id_dict["serial"]
self.position.write(self.ctrl.get_position())
# recorded
self.recorded[self.name] = [self.position, self.native_units, 1.0, "m", False]
self.wait_until_still()
# finish
self.initialized.write(True)
self.initialized_signal.emit()
def is_busy(self):
return self.ctrl.busy()
def set_position(self, destination):
self.ctrl.set_position(float(destination))
self.wait_until_still()
def set_turret(self, destination_index):
if type(destination_index) == list:
destination_index = destination_index[0]
# turret index on ActiveX call starts from zero
destination_index_zero_based = int(destination_index) - 1
self.ctrl.set_turret(destination_index_zero_based)
self.grating_index.write(destination_index)
self.wait_until_still()
self.limits.write(*self.ctrl.get_limits(), self.native_units)
### gui #######################################################################
class GUI(hw.GUI):
pass
### hardware ##################################################################
class Hardware(hw.Hardware):
def __init__(self, *args, **kwargs):
self.kind = "spectrometer"
hw.Hardware.__init__(self, *args, **kwargs)
### import ####################################################################
conf = pathlib.Path(appdirs.user_config_dir("pycmds", "pycmds")) / "config.toml"
conf = toml.load(conf)
hardwares, gui, advanced_gui = hw.import_hardwares(
conf.get("hardware", {}).get("spectrometers", {}),
name="Spectrometers",
Driver=Driver,
GUI=GUI,
Hardware=Hardware,
)
<｜fim▁end｜> | native_position = self.ctrl.get_position()
self.position.write(native_position, self.native_units)
return self.position.read() |
<|file_name|>spectrometers.py<|end_file_name|><｜fim▁begin｜>### import ####################################################################
import pycmds.project.classes as pc
import pycmds.hardware.hardware as hw
import pathlib
import appdirs
import toml
import yaqc
### driver ####################################################################
class Driver(hw.Driver):
def __init__(self, *args, **kwargs):
self._yaqd_port = kwargs.pop("yaqd_port")
super().__init__(*args, **kwargs)
self.grating_index = pc.Combo(
name="Grating",
allowed_values=[1, 2],
section=self.name,
option="grating_index",
display=True,
set_method="set_turret",
)
self.exposed.append(self.grating_index)
def get_position(self):
native_position = self.ctrl.get_position()
self.position.write(native_position, self.native_units)
return self.position.read()
def initialize(self, *args, **kwargs):
# open control
<|fim_middle|>
def is_busy(self):
return self.ctrl.busy()
def set_position(self, destination):
self.ctrl.set_position(float(destination))
self.wait_until_still()
def set_turret(self, destination_index):
if type(destination_index) == list:
destination_index = destination_index[0]
# turret index on ActiveX call starts from zero
destination_index_zero_based = int(destination_index) - 1
self.ctrl.set_turret(destination_index_zero_based)
self.grating_index.write(destination_index)
self.wait_until_still()
self.limits.write(*self.ctrl.get_limits(), self.native_units)
### gui #######################################################################
class GUI(hw.GUI):
pass
### hardware ##################################################################
class Hardware(hw.Hardware):
def __init__(self, *args, **kwargs):
self.kind = "spectrometer"
hw.Hardware.__init__(self, *args, **kwargs)
### import ####################################################################
conf = pathlib.Path(appdirs.user_config_dir("pycmds", "pycmds")) / "config.toml"
conf = toml.load(conf)
hardwares, gui, advanced_gui = hw.import_hardwares(
conf.get("hardware", {}).get("spectrometers", {}),
name="Spectrometers",
Driver=Driver,
GUI=GUI,
Hardware=Hardware,
)
<｜fim▁end｜> | self.ctrl = yaqc.Client(self._yaqd_port)
# import some information from control
id_dict = self.ctrl.id()
self.serial_number = id_dict["serial"]
self.position.write(self.ctrl.get_position())
# recorded
self.recorded[self.name] = [self.position, self.native_units, 1.0, "m", False]
self.wait_until_still()
# finish
self.initialized.write(True)
self.initialized_signal.emit() |
<|file_name|>spectrometers.py<|end_file_name|><｜fim▁begin｜>### import ####################################################################
import pycmds.project.classes as pc
import pycmds.hardware.hardware as hw
import pathlib
import appdirs
import toml
import yaqc
### driver ####################################################################
class Driver(hw.Driver):
def __init__(self, *args, **kwargs):
self._yaqd_port = kwargs.pop("yaqd_port")
super().__init__(*args, **kwargs)
self.grating_index = pc.Combo(
name="Grating",
allowed_values=[1, 2],
section=self.name,
option="grating_index",
display=True,
set_method="set_turret",
)
self.exposed.append(self.grating_index)
def get_position(self):
native_position = self.ctrl.get_position()
self.position.write(native_position, self.native_units)
return self.position.read()
def initialize(self, *args, **kwargs):
# open control
self.ctrl = yaqc.Client(self._yaqd_port)
# import some information from control
id_dict = self.ctrl.id()
self.serial_number = id_dict["serial"]
self.position.write(self.ctrl.get_position())
# recorded
self.recorded[self.name] = [self.position, self.native_units, 1.0, "m", False]
self.wait_until_still()
# finish
self.initialized.write(True)
self.initialized_signal.emit()
def is_busy(self):
<|fim_middle|>
def set_position(self, destination):
self.ctrl.set_position(float(destination))
self.wait_until_still()
def set_turret(self, destination_index):
if type(destination_index) == list:
destination_index = destination_index[0]
# turret index on ActiveX call starts from zero
destination_index_zero_based = int(destination_index) - 1
self.ctrl.set_turret(destination_index_zero_based)
self.grating_index.write(destination_index)
self.wait_until_still()
self.limits.write(*self.ctrl.get_limits(), self.native_units)
### gui #######################################################################
class GUI(hw.GUI):
pass
### hardware ##################################################################
class Hardware(hw.Hardware):
def __init__(self, *args, **kwargs):
self.kind = "spectrometer"
hw.Hardware.__init__(self, *args, **kwargs)
### import ####################################################################
conf = pathlib.Path(appdirs.user_config_dir("pycmds", "pycmds")) / "config.toml"
conf = toml.load(conf)
hardwares, gui, advanced_gui = hw.import_hardwares(
conf.get("hardware", {}).get("spectrometers", {}),
name="Spectrometers",
Driver=Driver,
GUI=GUI,
Hardware=Hardware,
)
<｜fim▁end｜> | return self.ctrl.busy() |
<|file_name|>spectrometers.py<|end_file_name|><｜fim▁begin｜>### import ####################################################################
import pycmds.project.classes as pc
import pycmds.hardware.hardware as hw
import pathlib
import appdirs
import toml
import yaqc
### driver ####################################################################
class Driver(hw.Driver):
def __init__(self, *args, **kwargs):
self._yaqd_port = kwargs.pop("yaqd_port")
super().__init__(*args, **kwargs)
self.grating_index = pc.Combo(
name="Grating",
allowed_values=[1, 2],
section=self.name,
option="grating_index",
display=True,
set_method="set_turret",
)
self.exposed.append(self.grating_index)
def get_position(self):
native_position = self.ctrl.get_position()
self.position.write(native_position, self.native_units)
return self.position.read()
def initialize(self, *args, **kwargs):
# open control
self.ctrl = yaqc.Client(self._yaqd_port)
# import some information from control
id_dict = self.ctrl.id()
self.serial_number = id_dict["serial"]
self.position.write(self.ctrl.get_position())
# recorded
self.recorded[self.name] = [self.position, self.native_units, 1.0, "m", False]
self.wait_until_still()
# finish
self.initialized.write(True)
self.initialized_signal.emit()
def is_busy(self):
return self.ctrl.busy()
def set_position(self, destination):
<|fim_middle|>
def set_turret(self, destination_index):
if type(destination_index) == list:
destination_index = destination_index[0]
# turret index on ActiveX call starts from zero
destination_index_zero_based = int(destination_index) - 1
self.ctrl.set_turret(destination_index_zero_based)
self.grating_index.write(destination_index)
self.wait_until_still()
self.limits.write(*self.ctrl.get_limits(), self.native_units)
### gui #######################################################################
class GUI(hw.GUI):
pass
### hardware ##################################################################
class Hardware(hw.Hardware):
def __init__(self, *args, **kwargs):
self.kind = "spectrometer"
hw.Hardware.__init__(self, *args, **kwargs)
### import ####################################################################
conf = pathlib.Path(appdirs.user_config_dir("pycmds", "pycmds")) / "config.toml"
conf = toml.load(conf)
hardwares, gui, advanced_gui = hw.import_hardwares(
conf.get("hardware", {}).get("spectrometers", {}),
name="Spectrometers",
Driver=Driver,
GUI=GUI,
Hardware=Hardware,
)
<｜fim▁end｜> | self.ctrl.set_position(float(destination))
self.wait_until_still() |
<|file_name|>spectrometers.py<|end_file_name|><｜fim▁begin｜>### import ####################################################################
import pycmds.project.classes as pc
import pycmds.hardware.hardware as hw
import pathlib
import appdirs
import toml
import yaqc
### driver ####################################################################
class Driver(hw.Driver):
def __init__(self, *args, **kwargs):
self._yaqd_port = kwargs.pop("yaqd_port")
super().__init__(*args, **kwargs)
self.grating_index = pc.Combo(
name="Grating",
allowed_values=[1, 2],
section=self.name,
option="grating_index",
display=True,
set_method="set_turret",
)
self.exposed.append(self.grating_index)
def get_position(self):
native_position = self.ctrl.get_position()
self.position.write(native_position, self.native_units)
return self.position.read()
def initialize(self, *args, **kwargs):
# open control
self.ctrl = yaqc.Client(self._yaqd_port)
# import some information from control
id_dict = self.ctrl.id()
self.serial_number = id_dict["serial"]
self.position.write(self.ctrl.get_position())
# recorded
self.recorded[self.name] = [self.position, self.native_units, 1.0, "m", False]
self.wait_until_still()
# finish
self.initialized.write(True)
self.initialized_signal.emit()
def is_busy(self):
return self.ctrl.busy()
def set_position(self, destination):
self.ctrl.set_position(float(destination))
self.wait_until_still()
def set_turret(self, destination_index):
<|fim_middle|>
### gui #######################################################################
class GUI(hw.GUI):
pass
### hardware ##################################################################
class Hardware(hw.Hardware):
def __init__(self, *args, **kwargs):
self.kind = "spectrometer"
hw.Hardware.__init__(self, *args, **kwargs)
### import ####################################################################
conf = pathlib.Path(appdirs.user_config_dir("pycmds", "pycmds")) / "config.toml"
conf = toml.load(conf)
hardwares, gui, advanced_gui = hw.import_hardwares(
conf.get("hardware", {}).get("spectrometers", {}),
name="Spectrometers",
Driver=Driver,
GUI=GUI,
Hardware=Hardware,
)
<｜fim▁end｜> | if type(destination_index) == list:
destination_index = destination_index[0]
# turret index on ActiveX call starts from zero
destination_index_zero_based = int(destination_index) - 1
self.ctrl.set_turret(destination_index_zero_based)
self.grating_index.write(destination_index)
self.wait_until_still()
self.limits.write(*self.ctrl.get_limits(), self.native_units) |
<|file_name|>spectrometers.py<|end_file_name|><｜fim▁begin｜>### import ####################################################################
import pycmds.project.classes as pc
import pycmds.hardware.hardware as hw
import pathlib
import appdirs
import toml
import yaqc
### driver ####################################################################
class Driver(hw.Driver):
def __init__(self, *args, **kwargs):
self._yaqd_port = kwargs.pop("yaqd_port")
super().__init__(*args, **kwargs)
self.grating_index = pc.Combo(
name="Grating",
allowed_values=[1, 2],
section=self.name,
option="grating_index",
display=True,
set_method="set_turret",
)
self.exposed.append(self.grating_index)
def get_position(self):
native_position = self.ctrl.get_position()
self.position.write(native_position, self.native_units)
return self.position.read()
def initialize(self, *args, **kwargs):
# open control
self.ctrl = yaqc.Client(self._yaqd_port)
# import some information from control
id_dict = self.ctrl.id()
self.serial_number = id_dict["serial"]
self.position.write(self.ctrl.get_position())
# recorded
self.recorded[self.name] = [self.position, self.native_units, 1.0, "m", False]
self.wait_until_still()
# finish
self.initialized.write(True)
self.initialized_signal.emit()
def is_busy(self):
return self.ctrl.busy()
def set_position(self, destination):
self.ctrl.set_position(float(destination))
self.wait_until_still()
def set_turret(self, destination_index):
if type(destination_index) == list:
destination_index = destination_index[0]
# turret index on ActiveX call starts from zero
destination_index_zero_based = int(destination_index) - 1
self.ctrl.set_turret(destination_index_zero_based)
self.grating_index.write(destination_index)
self.wait_until_still()
self.limits.write(*self.ctrl.get_limits(), self.native_units)
### gui #######################################################################
class GUI(hw.GUI):
<|fim_middle|>
### hardware ##################################################################
class Hardware(hw.Hardware):
def __init__(self, *args, **kwargs):
self.kind = "spectrometer"
hw.Hardware.__init__(self, *args, **kwargs)
### import ####################################################################
conf = pathlib.Path(appdirs.user_config_dir("pycmds", "pycmds")) / "config.toml"
conf = toml.load(conf)
hardwares, gui, advanced_gui = hw.import_hardwares(
conf.get("hardware", {}).get("spectrometers", {}),
name="Spectrometers",
Driver=Driver,
GUI=GUI,
Hardware=Hardware,
)
<｜fim▁end｜> | pass |
<|file_name|>spectrometers.py<|end_file_name|><｜fim▁begin｜>### import ####################################################################
import pycmds.project.classes as pc
import pycmds.hardware.hardware as hw
import pathlib
import appdirs
import toml
import yaqc
### driver ####################################################################
class Driver(hw.Driver):
def __init__(self, *args, **kwargs):
self._yaqd_port = kwargs.pop("yaqd_port")
super().__init__(*args, **kwargs)
self.grating_index = pc.Combo(
name="Grating",
allowed_values=[1, 2],
section=self.name,
option="grating_index",
display=True,
set_method="set_turret",
)
self.exposed.append(self.grating_index)
def get_position(self):
native_position = self.ctrl.get_position()
self.position.write(native_position, self.native_units)
return self.position.read()
def initialize(self, *args, **kwargs):
# open control
self.ctrl = yaqc.Client(self._yaqd_port)
# import some information from control
id_dict = self.ctrl.id()
self.serial_number = id_dict["serial"]
self.position.write(self.ctrl.get_position())
# recorded
self.recorded[self.name] = [self.position, self.native_units, 1.0, "m", False]
self.wait_until_still()
# finish
self.initialized.write(True)
self.initialized_signal.emit()
def is_busy(self):
return self.ctrl.busy()
def set_position(self, destination):
self.ctrl.set_position(float(destination))
self.wait_until_still()
def set_turret(self, destination_index):
if type(destination_index) == list:
destination_index = destination_index[0]
# turret index on ActiveX call starts from zero
destination_index_zero_based = int(destination_index) - 1
self.ctrl.set_turret(destination_index_zero_based)
self.grating_index.write(destination_index)
self.wait_until_still()
self.limits.write(*self.ctrl.get_limits(), self.native_units)
### gui #######################################################################
class GUI(hw.GUI):
pass
### hardware ##################################################################
class Hardware(hw.Hardware):
<|fim_middle|>
### import ####################################################################
conf = pathlib.Path(appdirs.user_config_dir("pycmds", "pycmds")) / "config.toml"
conf = toml.load(conf)
hardwares, gui, advanced_gui = hw.import_hardwares(
conf.get("hardware", {}).get("spectrometers", {}),
name="Spectrometers",
Driver=Driver,
GUI=GUI,
Hardware=Hardware,
)
<｜fim▁end｜> | def __init__(self, *args, **kwargs):
self.kind = "spectrometer"
hw.Hardware.__init__(self, *args, **kwargs) |
<|file_name|>spectrometers.py<|end_file_name|><｜fim▁begin｜>### import ####################################################################
import pycmds.project.classes as pc
import pycmds.hardware.hardware as hw
import pathlib
import appdirs
import toml
import yaqc
### driver ####################################################################
class Driver(hw.Driver):
def __init__(self, *args, **kwargs):
self._yaqd_port = kwargs.pop("yaqd_port")
super().__init__(*args, **kwargs)
self.grating_index = pc.Combo(
name="Grating",
allowed_values=[1, 2],
section=self.name,
option="grating_index",
display=True,
set_method="set_turret",
)
self.exposed.append(self.grating_index)
def get_position(self):
native_position = self.ctrl.get_position()
self.position.write(native_position, self.native_units)
return self.position.read()
def initialize(self, *args, **kwargs):
# open control
self.ctrl = yaqc.Client(self._yaqd_port)
# import some information from control
id_dict = self.ctrl.id()
self.serial_number = id_dict["serial"]
self.position.write(self.ctrl.get_position())
# recorded
self.recorded[self.name] = [self.position, self.native_units, 1.0, "m", False]
self.wait_until_still()
# finish
self.initialized.write(True)
self.initialized_signal.emit()
def is_busy(self):
return self.ctrl.busy()
def set_position(self, destination):
self.ctrl.set_position(float(destination))
self.wait_until_still()
def set_turret(self, destination_index):
if type(destination_index) == list:
destination_index = destination_index[0]
# turret index on ActiveX call starts from zero
destination_index_zero_based = int(destination_index) - 1
self.ctrl.set_turret(destination_index_zero_based)
self.grating_index.write(destination_index)
self.wait_until_still()
self.limits.write(*self.ctrl.get_limits(), self.native_units)
### gui #######################################################################
class GUI(hw.GUI):
pass
### hardware ##################################################################
class Hardware(hw.Hardware):
def __init__(self, *args, **kwargs):
<|fim_middle|>
### import ####################################################################
conf = pathlib.Path(appdirs.user_config_dir("pycmds", "pycmds")) / "config.toml"
conf = toml.load(conf)
hardwares, gui, advanced_gui = hw.import_hardwares(
conf.get("hardware", {}).get("spectrometers", {}),
name="Spectrometers",
Driver=Driver,
GUI=GUI,
Hardware=Hardware,
)
<｜fim▁end｜> | self.kind = "spectrometer"
hw.Hardware.__init__(self, *args, **kwargs) |
<|file_name|>spectrometers.py<|end_file_name|><｜fim▁begin｜>### import ####################################################################
import pycmds.project.classes as pc
import pycmds.hardware.hardware as hw
import pathlib
import appdirs
import toml
import yaqc
### driver ####################################################################
class Driver(hw.Driver):
def __init__(self, *args, **kwargs):
self._yaqd_port = kwargs.pop("yaqd_port")
super().__init__(*args, **kwargs)
self.grating_index = pc.Combo(
name="Grating",
allowed_values=[1, 2],
section=self.name,
option="grating_index",
display=True,
set_method="set_turret",
)
self.exposed.append(self.grating_index)
def get_position(self):
native_position = self.ctrl.get_position()
self.position.write(native_position, self.native_units)
return self.position.read()
def initialize(self, *args, **kwargs):
# open control
self.ctrl = yaqc.Client(self._yaqd_port)
# import some information from control
id_dict = self.ctrl.id()
self.serial_number = id_dict["serial"]
self.position.write(self.ctrl.get_position())
# recorded
self.recorded[self.name] = [self.position, self.native_units, 1.0, "m", False]
self.wait_until_still()
# finish
self.initialized.write(True)
self.initialized_signal.emit()
def is_busy(self):
return self.ctrl.busy()
def set_position(self, destination):
self.ctrl.set_position(float(destination))
self.wait_until_still()
def set_turret(self, destination_index):
if type(destination_index) == list:
<|fim_middle|>
# turret index on ActiveX call starts from zero
destination_index_zero_based = int(destination_index) - 1
self.ctrl.set_turret(destination_index_zero_based)
self.grating_index.write(destination_index)
self.wait_until_still()
self.limits.write(*self.ctrl.get_limits(), self.native_units)
### gui #######################################################################
class GUI(hw.GUI):
pass
### hardware ##################################################################
class Hardware(hw.Hardware):
def __init__(self, *args, **kwargs):
self.kind = "spectrometer"
hw.Hardware.__init__(self, *args, **kwargs)
### import ####################################################################
conf = pathlib.Path(appdirs.user_config_dir("pycmds", "pycmds")) / "config.toml"
conf = toml.load(conf)
hardwares, gui, advanced_gui = hw.import_hardwares(
conf.get("hardware", {}).get("spectrometers", {}),
name="Spectrometers",
Driver=Driver,
GUI=GUI,
Hardware=Hardware,
)
<｜fim▁end｜> | destination_index = destination_index[0] |
<|file_name|>spectrometers.py<|end_file_name|><｜fim▁begin｜>### import ####################################################################
import pycmds.project.classes as pc
import pycmds.hardware.hardware as hw
import pathlib
import appdirs
import toml
import yaqc
### driver ####################################################################
class Driver(hw.Driver):
def <|fim_middle|>(self, *args, **kwargs):
self._yaqd_port = kwargs.pop("yaqd_port")
super().__init__(*args, **kwargs)
self.grating_index = pc.Combo(
name="Grating",
allowed_values=[1, 2],
section=self.name,
option="grating_index",
display=True,
set_method="set_turret",
)
self.exposed.append(self.grating_index)
def get_position(self):
native_position = self.ctrl.get_position()
self.position.write(native_position, self.native_units)
return self.position.read()
def initialize(self, *args, **kwargs):
# open control
self.ctrl = yaqc.Client(self._yaqd_port)
# import some information from control
id_dict = self.ctrl.id()
self.serial_number = id_dict["serial"]
self.position.write(self.ctrl.get_position())
# recorded
self.recorded[self.name] = [self.position, self.native_units, 1.0, "m", False]
self.wait_until_still()
# finish
self.initialized.write(True)
self.initialized_signal.emit()
def is_busy(self):
return self.ctrl.busy()
def set_position(self, destination):
self.ctrl.set_position(float(destination))
self.wait_until_still()
def set_turret(self, destination_index):
if type(destination_index) == list:
destination_index = destination_index[0]
# turret index on ActiveX call starts from zero
destination_index_zero_based = int(destination_index) - 1
self.ctrl.set_turret(destination_index_zero_based)
self.grating_index.write(destination_index)
self.wait_until_still()
self.limits.write(*self.ctrl.get_limits(), self.native_units)
### gui #######################################################################
class GUI(hw.GUI):
pass
### hardware ##################################################################
class Hardware(hw.Hardware):
def __init__(self, *args, **kwargs):
self.kind = "spectrometer"
hw.Hardware.__init__(self, *args, **kwargs)
### import ####################################################################
conf = pathlib.Path(appdirs.user_config_dir("pycmds", "pycmds")) / "config.toml"
conf = toml.load(conf)
hardwares, gui, advanced_gui = hw.import_hardwares(
conf.get("hardware", {}).get("spectrometers", {}),
name="Spectrometers",
Driver=Driver,
GUI=GUI,
Hardware=Hardware,
)
<｜fim▁end｜> | __init__ |
<|file_name|>spectrometers.py<|end_file_name|><｜fim▁begin｜>### import ####################################################################
import pycmds.project.classes as pc
import pycmds.hardware.hardware as hw
import pathlib
import appdirs
import toml
import yaqc
### driver ####################################################################
class Driver(hw.Driver):
def __init__(self, *args, **kwargs):
self._yaqd_port = kwargs.pop("yaqd_port")
super().__init__(*args, **kwargs)
self.grating_index = pc.Combo(
name="Grating",
allowed_values=[1, 2],
section=self.name,
option="grating_index",
display=True,
set_method="set_turret",
)
self.exposed.append(self.grating_index)
def <|fim_middle|>(self):
native_position = self.ctrl.get_position()
self.position.write(native_position, self.native_units)
return self.position.read()
def initialize(self, *args, **kwargs):
# open control
self.ctrl = yaqc.Client(self._yaqd_port)
# import some information from control
id_dict = self.ctrl.id()
self.serial_number = id_dict["serial"]
self.position.write(self.ctrl.get_position())
# recorded
self.recorded[self.name] = [self.position, self.native_units, 1.0, "m", False]
self.wait_until_still()
# finish
self.initialized.write(True)
self.initialized_signal.emit()
def is_busy(self):
return self.ctrl.busy()
def set_position(self, destination):
self.ctrl.set_position(float(destination))
self.wait_until_still()
def set_turret(self, destination_index):
if type(destination_index) == list:
destination_index = destination_index[0]
# turret index on ActiveX call starts from zero
destination_index_zero_based = int(destination_index) - 1
self.ctrl.set_turret(destination_index_zero_based)
self.grating_index.write(destination_index)
self.wait_until_still()
self.limits.write(*self.ctrl.get_limits(), self.native_units)
### gui #######################################################################
class GUI(hw.GUI):
pass
### hardware ##################################################################
class Hardware(hw.Hardware):
def __init__(self, *args, **kwargs):
self.kind = "spectrometer"
hw.Hardware.__init__(self, *args, **kwargs)
### import ####################################################################
conf = pathlib.Path(appdirs.user_config_dir("pycmds", "pycmds")) / "config.toml"
conf = toml.load(conf)
hardwares, gui, advanced_gui = hw.import_hardwares(
conf.get("hardware", {}).get("spectrometers", {}),
name="Spectrometers",
Driver=Driver,
GUI=GUI,
Hardware=Hardware,
)
<｜fim▁end｜> | get_position |
<|file_name|>spectrometers.py<|end_file_name|><｜fim▁begin｜>### import ####################################################################
import pycmds.project.classes as pc
import pycmds.hardware.hardware as hw
import pathlib
import appdirs
import toml
import yaqc
### driver ####################################################################
class Driver(hw.Driver):
def __init__(self, *args, **kwargs):
self._yaqd_port = kwargs.pop("yaqd_port")
super().__init__(*args, **kwargs)
self.grating_index = pc.Combo(
name="Grating",
allowed_values=[1, 2],
section=self.name,
option="grating_index",
display=True,
set_method="set_turret",
)
self.exposed.append(self.grating_index)
def get_position(self):
native_position = self.ctrl.get_position()
self.position.write(native_position, self.native_units)
return self.position.read()
def <|fim_middle|>(self, *args, **kwargs):
# open control
self.ctrl = yaqc.Client(self._yaqd_port)
# import some information from control
id_dict = self.ctrl.id()
self.serial_number = id_dict["serial"]
self.position.write(self.ctrl.get_position())
# recorded
self.recorded[self.name] = [self.position, self.native_units, 1.0, "m", False]
self.wait_until_still()
# finish
self.initialized.write(True)
self.initialized_signal.emit()
def is_busy(self):
return self.ctrl.busy()
def set_position(self, destination):
self.ctrl.set_position(float(destination))
self.wait_until_still()
def set_turret(self, destination_index):
if type(destination_index) == list:
destination_index = destination_index[0]
# turret index on ActiveX call starts from zero
destination_index_zero_based = int(destination_index) - 1
self.ctrl.set_turret(destination_index_zero_based)
self.grating_index.write(destination_index)
self.wait_until_still()
self.limits.write(*self.ctrl.get_limits(), self.native_units)
### gui #######################################################################
class GUI(hw.GUI):
pass
### hardware ##################################################################
class Hardware(hw.Hardware):
def __init__(self, *args, **kwargs):
self.kind = "spectrometer"
hw.Hardware.__init__(self, *args, **kwargs)
### import ####################################################################
conf = pathlib.Path(appdirs.user_config_dir("pycmds", "pycmds")) / "config.toml"
conf = toml.load(conf)
hardwares, gui, advanced_gui = hw.import_hardwares(
conf.get("hardware", {}).get("spectrometers", {}),
name="Spectrometers",
Driver=Driver,
GUI=GUI,
Hardware=Hardware,
)
<｜fim▁end｜> | initialize |
<|file_name|>spectrometers.py<|end_file_name|><｜fim▁begin｜>### import ####################################################################
import pycmds.project.classes as pc
import pycmds.hardware.hardware as hw
import pathlib
import appdirs
import toml
import yaqc
### driver ####################################################################
class Driver(hw.Driver):
def __init__(self, *args, **kwargs):
self._yaqd_port = kwargs.pop("yaqd_port")
super().__init__(*args, **kwargs)
self.grating_index = pc.Combo(
name="Grating",
allowed_values=[1, 2],
section=self.name,
option="grating_index",
display=True,
set_method="set_turret",
)
self.exposed.append(self.grating_index)
def get_position(self):
native_position = self.ctrl.get_position()
self.position.write(native_position, self.native_units)
return self.position.read()
def initialize(self, *args, **kwargs):
# open control
self.ctrl = yaqc.Client(self._yaqd_port)
# import some information from control
id_dict = self.ctrl.id()
self.serial_number = id_dict["serial"]
self.position.write(self.ctrl.get_position())
# recorded
self.recorded[self.name] = [self.position, self.native_units, 1.0, "m", False]
self.wait_until_still()
# finish
self.initialized.write(True)
self.initialized_signal.emit()
def <|fim_middle|>(self):
return self.ctrl.busy()
def set_position(self, destination):
self.ctrl.set_position(float(destination))
self.wait_until_still()
def set_turret(self, destination_index):
if type(destination_index) == list:
destination_index = destination_index[0]
# turret index on ActiveX call starts from zero
destination_index_zero_based = int(destination_index) - 1
self.ctrl.set_turret(destination_index_zero_based)
self.grating_index.write(destination_index)
self.wait_until_still()
self.limits.write(*self.ctrl.get_limits(), self.native_units)
### gui #######################################################################
class GUI(hw.GUI):
pass
### hardware ##################################################################
class Hardware(hw.Hardware):
def __init__(self, *args, **kwargs):
self.kind = "spectrometer"
hw.Hardware.__init__(self, *args, **kwargs)
### import ####################################################################
conf = pathlib.Path(appdirs.user_config_dir("pycmds", "pycmds")) / "config.toml"
conf = toml.load(conf)
hardwares, gui, advanced_gui = hw.import_hardwares(
conf.get("hardware", {}).get("spectrometers", {}),
name="Spectrometers",
Driver=Driver,
GUI=GUI,
Hardware=Hardware,
)
<｜fim▁end｜> | is_busy |
<|file_name|>spectrometers.py<|end_file_name|><｜fim▁begin｜>### import ####################################################################
import pycmds.project.classes as pc
import pycmds.hardware.hardware as hw
import pathlib
import appdirs
import toml
import yaqc
### driver ####################################################################
class Driver(hw.Driver):
def __init__(self, *args, **kwargs):
self._yaqd_port = kwargs.pop("yaqd_port")
super().__init__(*args, **kwargs)
self.grating_index = pc.Combo(
name="Grating",
allowed_values=[1, 2],
section=self.name,
option="grating_index",
display=True,
set_method="set_turret",
)
self.exposed.append(self.grating_index)
def get_position(self):
native_position = self.ctrl.get_position()
self.position.write(native_position, self.native_units)
return self.position.read()
def initialize(self, *args, **kwargs):
# open control
self.ctrl = yaqc.Client(self._yaqd_port)
# import some information from control
id_dict = self.ctrl.id()
self.serial_number = id_dict["serial"]
self.position.write(self.ctrl.get_position())
# recorded
self.recorded[self.name] = [self.position, self.native_units, 1.0, "m", False]
self.wait_until_still()
# finish
self.initialized.write(True)
self.initialized_signal.emit()
def is_busy(self):
return self.ctrl.busy()
def <|fim_middle|>(self, destination):
self.ctrl.set_position(float(destination))
self.wait_until_still()
def set_turret(self, destination_index):
if type(destination_index) == list:
destination_index = destination_index[0]
# turret index on ActiveX call starts from zero
destination_index_zero_based = int(destination_index) - 1
self.ctrl.set_turret(destination_index_zero_based)
self.grating_index.write(destination_index)
self.wait_until_still()
self.limits.write(*self.ctrl.get_limits(), self.native_units)
### gui #######################################################################
class GUI(hw.GUI):
pass
### hardware ##################################################################
class Hardware(hw.Hardware):
def __init__(self, *args, **kwargs):
self.kind = "spectrometer"
hw.Hardware.__init__(self, *args, **kwargs)
### import ####################################################################
conf = pathlib.Path(appdirs.user_config_dir("pycmds", "pycmds")) / "config.toml"
conf = toml.load(conf)
hardwares, gui, advanced_gui = hw.import_hardwares(
conf.get("hardware", {}).get("spectrometers", {}),
name="Spectrometers",
Driver=Driver,
GUI=GUI,
Hardware=Hardware,
)
<｜fim▁end｜> | set_position |
<|file_name|>spectrometers.py<|end_file_name|><｜fim▁begin｜>### import ####################################################################
import pycmds.project.classes as pc
import pycmds.hardware.hardware as hw
import pathlib
import appdirs
import toml
import yaqc
### driver ####################################################################
class Driver(hw.Driver):
def __init__(self, *args, **kwargs):
self._yaqd_port = kwargs.pop("yaqd_port")
super().__init__(*args, **kwargs)
self.grating_index = pc.Combo(
name="Grating",
allowed_values=[1, 2],
section=self.name,
option="grating_index",
display=True,
set_method="set_turret",
)
self.exposed.append(self.grating_index)
def get_position(self):
native_position = self.ctrl.get_position()
self.position.write(native_position, self.native_units)
return self.position.read()
def initialize(self, *args, **kwargs):
# open control
self.ctrl = yaqc.Client(self._yaqd_port)
# import some information from control
id_dict = self.ctrl.id()
self.serial_number = id_dict["serial"]
self.position.write(self.ctrl.get_position())
# recorded
self.recorded[self.name] = [self.position, self.native_units, 1.0, "m", False]
self.wait_until_still()
# finish
self.initialized.write(True)
self.initialized_signal.emit()
def is_busy(self):
return self.ctrl.busy()
def set_position(self, destination):
self.ctrl.set_position(float(destination))
self.wait_until_still()
def <|fim_middle|>(self, destination_index):
if type(destination_index) == list:
destination_index = destination_index[0]
# turret index on ActiveX call starts from zero
destination_index_zero_based = int(destination_index) - 1
self.ctrl.set_turret(destination_index_zero_based)
self.grating_index.write(destination_index)
self.wait_until_still()
self.limits.write(*self.ctrl.get_limits(), self.native_units)
### gui #######################################################################
class GUI(hw.GUI):
pass
### hardware ##################################################################
class Hardware(hw.Hardware):
def __init__(self, *args, **kwargs):
self.kind = "spectrometer"
hw.Hardware.__init__(self, *args, **kwargs)
### import ####################################################################
conf = pathlib.Path(appdirs.user_config_dir("pycmds", "pycmds")) / "config.toml"
conf = toml.load(conf)
hardwares, gui, advanced_gui = hw.import_hardwares(
conf.get("hardware", {}).get("spectrometers", {}),
name="Spectrometers",
Driver=Driver,
GUI=GUI,
Hardware=Hardware,
)
<｜fim▁end｜> | set_turret |
<|file_name|>spectrometers.py<|end_file_name|><｜fim▁begin｜>### import ####################################################################
import pycmds.project.classes as pc
import pycmds.hardware.hardware as hw
import pathlib
import appdirs
import toml
import yaqc
### driver ####################################################################
class Driver(hw.Driver):
def __init__(self, *args, **kwargs):
self._yaqd_port = kwargs.pop("yaqd_port")
super().__init__(*args, **kwargs)
self.grating_index = pc.Combo(
name="Grating",
allowed_values=[1, 2],
section=self.name,
option="grating_index",
display=True,
set_method="set_turret",
)
self.exposed.append(self.grating_index)
def get_position(self):
native_position = self.ctrl.get_position()
self.position.write(native_position, self.native_units)
return self.position.read()
def initialize(self, *args, **kwargs):
# open control
self.ctrl = yaqc.Client(self._yaqd_port)
# import some information from control
id_dict = self.ctrl.id()
self.serial_number = id_dict["serial"]
self.position.write(self.ctrl.get_position())
# recorded
self.recorded[self.name] = [self.position, self.native_units, 1.0, "m", False]
self.wait_until_still()
# finish
self.initialized.write(True)
self.initialized_signal.emit()
def is_busy(self):
return self.ctrl.busy()
def set_position(self, destination):
self.ctrl.set_position(float(destination))
self.wait_until_still()
def set_turret(self, destination_index):
if type(destination_index) == list:
destination_index = destination_index[0]
# turret index on ActiveX call starts from zero
destination_index_zero_based = int(destination_index) - 1
self.ctrl.set_turret(destination_index_zero_based)
self.grating_index.write(destination_index)
self.wait_until_still()
self.limits.write(*self.ctrl.get_limits(), self.native_units)
### gui #######################################################################
class GUI(hw.GUI):
pass
### hardware ##################################################################
class Hardware(hw.Hardware):
def <|fim_middle|>(self, *args, **kwargs):
self.kind = "spectrometer"
hw.Hardware.__init__(self, *args, **kwargs)
### import ####################################################################
conf = pathlib.Path(appdirs.user_config_dir("pycmds", "pycmds")) / "config.toml"
conf = toml.load(conf)
hardwares, gui, advanced_gui = hw.import_hardwares(
conf.get("hardware", {}).get("spectrometers", {}),
name="Spectrometers",
Driver=Driver,
GUI=GUI,
Hardware=Hardware,
)
<｜fim▁end｜> | __init__ |
<|file_name|>urls.py<|end_file_name|><｜fim▁begin｜>from django.conf.urls import url, include
from django.contrib import admin
from django.contrib.auth.decorators import login_required
from .views import UploadBlackListView, DemoView, UdateBlackListView
urlpatterns = [
url(r'^admin/', include(admin.site.urls)),
url(r'^upload-blacklist$', login_required(UploadBlackListView.as_view()), name='upload-blacklist'),
url(r'^update-blacklist$', UdateBlackListView.as_view(), name='update-blacklist'),
url(r'^profile/', include('n_profile.urls')),
url(r'^demo$', DemoView.as_view(), name='demo'),
<｜fim▁hole｜><｜fim▁end｜> | ] |
<|file_name|>__manifest__.py<|end_file_name|><｜fim▁begin｜># -*- coding: utf-8 -*-
# Copyright 2016 Onestein (<http://www.onestein.eu>)
# License AGPL-3.0 or later (http://www.gnu.org/licenses/agpl.html).
{
'name': 'OAuth2 Disable Login with Odoo.com',
'version': '10.0.1.0.0',
'category': 'Tools',
'author': 'Onestein',
'license': 'AGPL-3',
'depends': ['auth_oauth'],
'data': [
'data/auth_oauth_data.xml',<｜fim▁hole｜><｜fim▁end｜> | ],
} |
<|file_name|>mercurial.py<|end_file_name|><｜fim▁begin｜>from mercurial import cmdutil
_hgignore_content = """\
syntax: glob
*~
*.pyc
*.pyo
*.bak
cache/*
databases/*
sessions/*
errors/*
"""
def commit():
app = request.args[0]
path = apath(app, r=request)
uio = ui.ui()
uio.quiet = True
if not os.environ.get('HGUSER') and not uio.config("ui", "username"):
os.environ['HGUSER'] = 'web2py@localhost'
try:
r = hg.repository(ui=uio, path=path)
except:
r = hg.repository(ui=uio, path=path, create=True)
hgignore = os.path.join(path, '.hgignore')
if not os.path.exists(hgignore):
open(hgignore, 'w').write(_hgignore_content)
form = FORM('Comment:',INPUT(_name='comment',requires=IS_NOT_EMPTY()),
INPUT(_type='submit',_value='Commit'))
if form.accepts(request.vars,session):
oldid = r[r.lookup('.')]
cmdutil.addremove(r)<｜fim▁hole｜> return dict(form=form,files=TABLE(*[TR(file) for file in files]),repo=r)<｜fim▁end｜> | r.commit(text=form.vars.comment)
if r[r.lookup('.')] == oldid:
response.flash = 'no changes'
files = r[r.lookup('.')].files() |
<|file_name|>mercurial.py<|end_file_name|><｜fim▁begin｜>
from mercurial import cmdutil
_hgignore_content = """\
syntax: glob
*~
*.pyc
*.pyo
*.bak
cache/*
databases/*
sessions/*
errors/*
"""
def commit():
<|fim_middle|>
<｜fim▁end｜> | app = request.args[0]
path = apath(app, r=request)
uio = ui.ui()
uio.quiet = True
if not os.environ.get('HGUSER') and not uio.config("ui", "username"):
os.environ['HGUSER'] = 'web2py@localhost'
try:
r = hg.repository(ui=uio, path=path)
except:
r = hg.repository(ui=uio, path=path, create=True)
hgignore = os.path.join(path, '.hgignore')
if not os.path.exists(hgignore):
open(hgignore, 'w').write(_hgignore_content)
form = FORM('Comment:',INPUT(_name='comment',requires=IS_NOT_EMPTY()),
INPUT(_type='submit',_value='Commit'))
if form.accepts(request.vars,session):
oldid = r[r.lookup('.')]
cmdutil.addremove(r)
r.commit(text=form.vars.comment)
if r[r.lookup('.')] == oldid:
response.flash = 'no changes'
files = r[r.lookup('.')].files()
return dict(form=form,files=TABLE(*[TR(file) for file in files]),repo=r) |
<|file_name|>mercurial.py<|end_file_name|><｜fim▁begin｜>
from mercurial import cmdutil
_hgignore_content = """\
syntax: glob
*~
*.pyc
*.pyo
*.bak
cache/*
databases/*
sessions/*
errors/*
"""
def commit():
app = request.args[0]
path = apath(app, r=request)
uio = ui.ui()
uio.quiet = True
if not os.environ.get('HGUSER') and not uio.config("ui", "username"):
<|fim_middle|>
try:
r = hg.repository(ui=uio, path=path)
except:
r = hg.repository(ui=uio, path=path, create=True)
hgignore = os.path.join(path, '.hgignore')
if not os.path.exists(hgignore):
open(hgignore, 'w').write(_hgignore_content)
form = FORM('Comment:',INPUT(_name='comment',requires=IS_NOT_EMPTY()),
INPUT(_type='submit',_value='Commit'))
if form.accepts(request.vars,session):
oldid = r[r.lookup('.')]
cmdutil.addremove(r)
r.commit(text=form.vars.comment)
if r[r.lookup('.')] == oldid:
response.flash = 'no changes'
files = r[r.lookup('.')].files()
return dict(form=form,files=TABLE(*[TR(file) for file in files]),repo=r)
<｜fim▁end｜> | os.environ['HGUSER'] = 'web2py@localhost' |
<|file_name|>mercurial.py<|end_file_name|><｜fim▁begin｜>
from mercurial import cmdutil
_hgignore_content = """\
syntax: glob
*~
*.pyc
*.pyo
*.bak
cache/*
databases/*
sessions/*
errors/*
"""
def commit():
app = request.args[0]
path = apath(app, r=request)
uio = ui.ui()
uio.quiet = True
if not os.environ.get('HGUSER') and not uio.config("ui", "username"):
os.environ['HGUSER'] = 'web2py@localhost'
try:
r = hg.repository(ui=uio, path=path)
except:
r = hg.repository(ui=uio, path=path, create=True)
hgignore = os.path.join(path, '.hgignore')
if not os.path.exists(hgignore):
<|fim_middle|>
form = FORM('Comment:',INPUT(_name='comment',requires=IS_NOT_EMPTY()),
INPUT(_type='submit',_value='Commit'))
if form.accepts(request.vars,session):
oldid = r[r.lookup('.')]
cmdutil.addremove(r)
r.commit(text=form.vars.comment)
if r[r.lookup('.')] == oldid:
response.flash = 'no changes'
files = r[r.lookup('.')].files()
return dict(form=form,files=TABLE(*[TR(file) for file in files]),repo=r)
<｜fim▁end｜> | open(hgignore, 'w').write(_hgignore_content) |
<|file_name|>mercurial.py<|end_file_name|><｜fim▁begin｜>
from mercurial import cmdutil
_hgignore_content = """\
syntax: glob
*~
*.pyc
*.pyo
*.bak
cache/*
databases/*
sessions/*
errors/*
"""
def commit():
app = request.args[0]
path = apath(app, r=request)
uio = ui.ui()
uio.quiet = True
if not os.environ.get('HGUSER') and not uio.config("ui", "username"):
os.environ['HGUSER'] = 'web2py@localhost'
try:
r = hg.repository(ui=uio, path=path)
except:
r = hg.repository(ui=uio, path=path, create=True)
hgignore = os.path.join(path, '.hgignore')
if not os.path.exists(hgignore):
open(hgignore, 'w').write(_hgignore_content)
form = FORM('Comment:',INPUT(_name='comment',requires=IS_NOT_EMPTY()),
INPUT(_type='submit',_value='Commit'))
if form.accepts(request.vars,session):
<|fim_middle|>
files = r[r.lookup('.')].files()
return dict(form=form,files=TABLE(*[TR(file) for file in files]),repo=r)
<｜fim▁end｜> | oldid = r[r.lookup('.')]
cmdutil.addremove(r)
r.commit(text=form.vars.comment)
if r[r.lookup('.')] == oldid:
response.flash = 'no changes' |
<|file_name|>mercurial.py<|end_file_name|><｜fim▁begin｜>
from mercurial import cmdutil
_hgignore_content = """\
syntax: glob
*~
*.pyc
*.pyo
*.bak
cache/*
databases/*
sessions/*
errors/*
"""
def commit():
app = request.args[0]
path = apath(app, r=request)
uio = ui.ui()
uio.quiet = True
if not os.environ.get('HGUSER') and not uio.config("ui", "username"):
os.environ['HGUSER'] = 'web2py@localhost'
try:
r = hg.repository(ui=uio, path=path)
except:
r = hg.repository(ui=uio, path=path, create=True)
hgignore = os.path.join(path, '.hgignore')
if not os.path.exists(hgignore):
open(hgignore, 'w').write(_hgignore_content)
form = FORM('Comment:',INPUT(_name='comment',requires=IS_NOT_EMPTY()),
INPUT(_type='submit',_value='Commit'))
if form.accepts(request.vars,session):
oldid = r[r.lookup('.')]
cmdutil.addremove(r)
r.commit(text=form.vars.comment)
if r[r.lookup('.')] == oldid:
<|fim_middle|>
files = r[r.lookup('.')].files()
return dict(form=form,files=TABLE(*[TR(file) for file in files]),repo=r)
<｜fim▁end｜> | response.flash = 'no changes' |
<|file_name|>mercurial.py<|end_file_name|><｜fim▁begin｜>
from mercurial import cmdutil
_hgignore_content = """\
syntax: glob
*~
*.pyc
*.pyo
*.bak
cache/*
databases/*
sessions/*
errors/*
"""
def <|fim_middle|>():
app = request.args[0]
path = apath(app, r=request)
uio = ui.ui()
uio.quiet = True
if not os.environ.get('HGUSER') and not uio.config("ui", "username"):
os.environ['HGUSER'] = 'web2py@localhost'
try:
r = hg.repository(ui=uio, path=path)
except:
r = hg.repository(ui=uio, path=path, create=True)
hgignore = os.path.join(path, '.hgignore')
if not os.path.exists(hgignore):
open(hgignore, 'w').write(_hgignore_content)
form = FORM('Comment:',INPUT(_name='comment',requires=IS_NOT_EMPTY()),
INPUT(_type='submit',_value='Commit'))
if form.accepts(request.vars,session):
oldid = r[r.lookup('.')]
cmdutil.addremove(r)
r.commit(text=form.vars.comment)
if r[r.lookup('.')] == oldid:
response.flash = 'no changes'
files = r[r.lookup('.')].files()
return dict(form=form,files=TABLE(*[TR(file) for file in files]),repo=r)
<｜fim▁end｜> | commit |
<|file_name|>reshape_transpose_test.py<|end_file_name|><｜fim▁begin｜># Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Basic tests for TF-TensorRT integration."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.compiler.tensorrt.test import tf_trt_integration_test_base as trt_test
from tensorflow.python.framework import dtypes
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import math_ops
from tensorflow.python.platform import test
class ReshapeTest(trt_test.TfTrtIntegrationTestBase):
def GraphFn(self, inp):
outputs = []
# Here we test two types of reshapes, one changes the batch dimension and
# the other does not. Note that we're not able to test reshaping to<｜fim▁hole｜> # conversion.
#
# These reshapes happen at batch dimension, thus conversion should fail.
for shape in [[2, 50, 24, 24, 2], [-1, 50, 24, 24, 2], [2, 50, -1, 24, 2]]:
incompatible_reshape = array_ops.reshape(inp, shape)
reshape_back = array_ops.reshape(incompatible_reshape, [-1, 24, 24, 2])
outputs.append(self.trt_incompatible_op(reshape_back))
# Add another block with many reshapes that don't change the batch
# dimension.
compatible_reshape = array_ops.reshape(
inp, [-1, 24 * 24, 2], name="reshape-0")
compatible_reshape = array_ops.reshape(
compatible_reshape, [100, 24, -1], name="reshape-1")
compatible_reshape = array_ops.reshape(
compatible_reshape, [100, 24 * 2, 24], name="reshape-2")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 24, 24 * 2], name="reshape-3")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 6, 4, 24, 2], name="reshape-4")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 6, 4, 6, 4, 2, 1], name="reshape-5")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 24, 24, 2], name="reshape-6")
outputs.append(self.trt_incompatible_op(compatible_reshape))
return math_ops.add_n(outputs, name="output_0")
def GetParams(self):
return self.BuildParams(self.GraphFn, dtypes.float32, [[100, 24, 24, 2]],
[[100, 24, 24, 2]])
def ExpectedEnginesToBuild(self, run_params):
"""Return the expected engines to build."""
return {
"TRTEngineOp_0": ["reshape-%d" % i for i in range(7)] +
["reshape-%d/shape" % i for i in range(7)]
}
def ShouldRunTest(self, run_params):
"""Whether to run the test."""
return (not trt_test.IsQuantizationMode(run_params.precision_mode) and
not run_params.dynamic_engine)
class TransposeTest(trt_test.TfTrtIntegrationTestBase):
def GraphFn(self, inp):
# Add a block with compatible transposes.
compatible_transpose = array_ops.transpose(
inp, [0, 3, 1, 2], name="transpose-1")
compatible_transpose = array_ops.transpose(
compatible_transpose, [0, 2, 3, 1], name="transposeback")
# Add an incompatible op so the first block will not be in the same
# subgraph where the following block belongs.
bridge = self.trt_incompatible_op(compatible_transpose)
# Add a block with incompatible transposes.
#
# Note: by default Grappler will run the TRT optimizer twice. At the
# first time it will group the two transpose ops below to same segment
# then fail the conversion due to the expected batch dimension problem.
# At the second time, since the input of bridge op is TRTEngineOp_0, it
# will fail to do shape inference which then cause conversion to fail.
# TODO(laigd): support shape inference, make TRT optimizer run only
# once, and fix this.
incompatible_transpose = array_ops.transpose(
bridge, [2, 1, 0, 3], name="transpose-2")
excluded_transpose = array_ops.transpose(
incompatible_transpose, [0, 2, 3, 1], name="transpose-3")
return array_ops.identity(excluded_transpose, name="output_0")
def GetParams(self):
return self.BuildParams(self.GraphFn, dtypes.float32, [[100, 24, 24, 2]],
[[24, 100, 2, 24]])
def ExpectedEnginesToBuild(self, run_params):
"""Return the expected engines to build."""
return {
"TRTEngineOp_0": [
"transpose-1", "transpose-1/perm", "transposeback",
"transposeback/perm"
]
}
def ShouldRunTest(self, run_params):
"""Whether to run the test."""
return (not trt_test.IsQuantizationMode(run_params.precision_mode) and
not run_params.dynamic_engine)
if __name__ == "__main__":
test.main()<｜fim▁end｜> | # scalar, since TRT requires input tensor to be of rank at least 2, so a
# reshape with scalar input will be filtered out of the segment before |
<|file_name|>reshape_transpose_test.py<|end_file_name|><｜fim▁begin｜># Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Basic tests for TF-TensorRT integration."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.compiler.tensorrt.test import tf_trt_integration_test_base as trt_test
from tensorflow.python.framework import dtypes
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import math_ops
from tensorflow.python.platform import test
class ReshapeTest(trt_test.TfTrtIntegrationTestBase):
def GraphFn(self, inp):
outputs = []
# Here we test two types of reshapes, one changes the batch dimension and
# the other does not. Note that we're not able to test reshaping to
# scalar, since TRT requires input tensor to be of rank at least 2, so a
# reshape with scalar input will be filtered out of the segment before
# conversion.
#
# These reshapes happen at batch dimension, thus conversion should fail.
for shape in [[2, 50, 24, 24, 2], [-1, 50, 24, 24, 2], [2, 50, -1, 24, 2]]:
incompatible_reshape = array_ops.reshape(inp, shape)
reshape_back = array_ops.reshape(incompatible_reshape, [-1, 24, 24, 2])
outputs.append(self.trt_incompatible_op(reshape_back))
# Add another block with many reshapes that don't change the batch
# dimension.
compatible_reshape = array_ops.reshape(
inp, [-1, 24 * 24, 2], name="reshape-0")
compatible_reshape = array_ops.reshape(
compatible_reshape, [100, 24, -1], name="reshape-1")
compatible_reshape = array_ops.reshape(
compatible_reshape, [100, 24 * 2, 24], name="reshape-2")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 24, 24 * 2], name="reshape-3")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 6, 4, 24, 2], name="reshape-4")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 6, 4, 6, 4, 2, 1], name="reshape-5")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 24, 24, 2], name="reshape-6")
outputs.append(self.trt_incompatible_op(compatible_reshape))
return math_ops.add_n(outputs, name="output_0")
def GetParams(self):
return self.BuildParams(self.GraphFn, dtypes.float32, [[100, 24, 24, 2]],
[[100, 24, 24, 2]])
def ExpectedEnginesToBuild(self, run_params):
"""Return the expected engines to build."""
return {
"TRTEngineOp_0": ["reshape-%d" % i for i in range(7)] +
["reshape-%d/shape" % i for i in range(7)]
}
def ShouldRunTest(self, run_params):
"""Whether to run the test."""
return (not trt_test.IsQuantizationMode(run_params.precision_mode) and
not run_params.dynamic_engine)
class TransposeTest(trt_test.TfTrtIntegrationTestBase):
def GraphFn(self, inp):
# Add a block with compatible transposes.
compatible_transpose = array_ops.transpose(
inp, [0, 3, 1, 2], name="transpose-1")
compatible_transpose = array_ops.transpose(
compatible_transpose, [0, 2, 3, 1], name="transposeback")
# Add an incompatible op so the first block will not be in the same
# subgraph where the following block belongs.
bridge = self.trt_incompatible_op(compatible_transpose)
# Add a block with incompatible transposes.
#
# Note: by default Grappler will run the TRT optimizer twice. At the
# first time it will group the two transpose ops below to same segment
# then fail the conversion due to the expected batch dimension problem.
# At the second time, since the input of bridge op is TRTEngineOp_0, it
# will fail to do shape inference which then cause conversion to fail.
# TODO(laigd): support shape inference, make TRT optimizer run only
# once, and fix this.
incompatible_transpose = array_ops.transpose(
bridge, [2, 1, 0, 3], name="transpose-2")
excluded_transpose = array_ops.transpose(
incompatible_transpose, [0, 2, 3, 1], name="transpose-3")
return array_ops.identity(excluded_transpose, name="output_0")
def GetParams(self):
return self.BuildParams(self.GraphFn, dtypes.float32, [[100, 24, 24, 2]],
[[24, 100, 2, 24]])
def ExpectedEnginesToBuild(self, run_params):
"""Return the expected engines to build."""
return {
"TRTEngineOp_0": [
"transpose-1", "transpose-1/perm", "transposeback",
"transposeback/perm"
]
}
def ShouldRunTest(self, run_params):
"""Whether to run the test."""
return (not trt_test.IsQuantizationMode(run_params.precision_mode) and
not run_params.dynamic_engine)
if __name__ == "__main__":
<|fim_middle|>
<｜fim▁end｜> | test.main() |
<|file_name|>reshape_transpose_test.py<|end_file_name|><｜fim▁begin｜># Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Basic tests for TF-TensorRT integration."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.compiler.tensorrt.test import tf_trt_integration_test_base as trt_test
from tensorflow.python.framework import dtypes
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import math_ops
from tensorflow.python.platform import test
class ReshapeTest(trt_test.TfTrtIntegrationTestBase):
def <|fim_middle|>(self, inp):
outputs = []
# Here we test two types of reshapes, one changes the batch dimension and
# the other does not. Note that we're not able to test reshaping to
# scalar, since TRT requires input tensor to be of rank at least 2, so a
# reshape with scalar input will be filtered out of the segment before
# conversion.
#
# These reshapes happen at batch dimension, thus conversion should fail.
for shape in [[2, 50, 24, 24, 2], [-1, 50, 24, 24, 2], [2, 50, -1, 24, 2]]:
incompatible_reshape = array_ops.reshape(inp, shape)
reshape_back = array_ops.reshape(incompatible_reshape, [-1, 24, 24, 2])
outputs.append(self.trt_incompatible_op(reshape_back))
# Add another block with many reshapes that don't change the batch
# dimension.
compatible_reshape = array_ops.reshape(
inp, [-1, 24 * 24, 2], name="reshape-0")
compatible_reshape = array_ops.reshape(
compatible_reshape, [100, 24, -1], name="reshape-1")
compatible_reshape = array_ops.reshape(
compatible_reshape, [100, 24 * 2, 24], name="reshape-2")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 24, 24 * 2], name="reshape-3")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 6, 4, 24, 2], name="reshape-4")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 6, 4, 6, 4, 2, 1], name="reshape-5")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 24, 24, 2], name="reshape-6")
outputs.append(self.trt_incompatible_op(compatible_reshape))
return math_ops.add_n(outputs, name="output_0")
def GetParams(self):
return self.BuildParams(self.GraphFn, dtypes.float32, [[100, 24, 24, 2]],
[[100, 24, 24, 2]])
def ExpectedEnginesToBuild(self, run_params):
"""Return the expected engines to build."""
return {
"TRTEngineOp_0": ["reshape-%d" % i for i in range(7)] +
["reshape-%d/shape" % i for i in range(7)]
}
def ShouldRunTest(self, run_params):
"""Whether to run the test."""
return (not trt_test.IsQuantizationMode(run_params.precision_mode) and
not run_params.dynamic_engine)
class TransposeTest(trt_test.TfTrtIntegrationTestBase):
def GraphFn(self, inp):
# Add a block with compatible transposes.
compatible_transpose = array_ops.transpose(
inp, [0, 3, 1, 2], name="transpose-1")
compatible_transpose = array_ops.transpose(
compatible_transpose, [0, 2, 3, 1], name="transposeback")
# Add an incompatible op so the first block will not be in the same
# subgraph where the following block belongs.
bridge = self.trt_incompatible_op(compatible_transpose)
# Add a block with incompatible transposes.
#
# Note: by default Grappler will run the TRT optimizer twice. At the
# first time it will group the two transpose ops below to same segment
# then fail the conversion due to the expected batch dimension problem.
# At the second time, since the input of bridge op is TRTEngineOp_0, it
# will fail to do shape inference which then cause conversion to fail.
# TODO(laigd): support shape inference, make TRT optimizer run only
# once, and fix this.
incompatible_transpose = array_ops.transpose(
bridge, [2, 1, 0, 3], name="transpose-2")
excluded_transpose = array_ops.transpose(
incompatible_transpose, [0, 2, 3, 1], name="transpose-3")
return array_ops.identity(excluded_transpose, name="output_0")
def GetParams(self):
return self.BuildParams(self.GraphFn, dtypes.float32, [[100, 24, 24, 2]],
[[24, 100, 2, 24]])
def ExpectedEnginesToBuild(self, run_params):
"""Return the expected engines to build."""
return {
"TRTEngineOp_0": [
"transpose-1", "transpose-1/perm", "transposeback",
"transposeback/perm"
]
}
def ShouldRunTest(self, run_params):
"""Whether to run the test."""
return (not trt_test.IsQuantizationMode(run_params.precision_mode) and
not run_params.dynamic_engine)
if __name__ == "__main__":
test.main()
<｜fim▁end｜> | GraphFn |
<|file_name|>reshape_transpose_test.py<|end_file_name|><｜fim▁begin｜># Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Basic tests for TF-TensorRT integration."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.compiler.tensorrt.test import tf_trt_integration_test_base as trt_test
from tensorflow.python.framework import dtypes
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import math_ops
from tensorflow.python.platform import test
class ReshapeTest(trt_test.TfTrtIntegrationTestBase):
def GraphFn(self, inp):
outputs = []
# Here we test two types of reshapes, one changes the batch dimension and
# the other does not. Note that we're not able to test reshaping to
# scalar, since TRT requires input tensor to be of rank at least 2, so a
# reshape with scalar input will be filtered out of the segment before
# conversion.
#
# These reshapes happen at batch dimension, thus conversion should fail.
for shape in [[2, 50, 24, 24, 2], [-1, 50, 24, 24, 2], [2, 50, -1, 24, 2]]:
incompatible_reshape = array_ops.reshape(inp, shape)
reshape_back = array_ops.reshape(incompatible_reshape, [-1, 24, 24, 2])
outputs.append(self.trt_incompatible_op(reshape_back))
# Add another block with many reshapes that don't change the batch
# dimension.
compatible_reshape = array_ops.reshape(
inp, [-1, 24 * 24, 2], name="reshape-0")
compatible_reshape = array_ops.reshape(
compatible_reshape, [100, 24, -1], name="reshape-1")
compatible_reshape = array_ops.reshape(
compatible_reshape, [100, 24 * 2, 24], name="reshape-2")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 24, 24 * 2], name="reshape-3")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 6, 4, 24, 2], name="reshape-4")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 6, 4, 6, 4, 2, 1], name="reshape-5")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 24, 24, 2], name="reshape-6")
outputs.append(self.trt_incompatible_op(compatible_reshape))
return math_ops.add_n(outputs, name="output_0")
def <|fim_middle|>(self):
return self.BuildParams(self.GraphFn, dtypes.float32, [[100, 24, 24, 2]],
[[100, 24, 24, 2]])
def ExpectedEnginesToBuild(self, run_params):
"""Return the expected engines to build."""
return {
"TRTEngineOp_0": ["reshape-%d" % i for i in range(7)] +
["reshape-%d/shape" % i for i in range(7)]
}
def ShouldRunTest(self, run_params):
"""Whether to run the test."""
return (not trt_test.IsQuantizationMode(run_params.precision_mode) and
not run_params.dynamic_engine)
class TransposeTest(trt_test.TfTrtIntegrationTestBase):
def GraphFn(self, inp):
# Add a block with compatible transposes.
compatible_transpose = array_ops.transpose(
inp, [0, 3, 1, 2], name="transpose-1")
compatible_transpose = array_ops.transpose(
compatible_transpose, [0, 2, 3, 1], name="transposeback")
# Add an incompatible op so the first block will not be in the same
# subgraph where the following block belongs.
bridge = self.trt_incompatible_op(compatible_transpose)
# Add a block with incompatible transposes.
#
# Note: by default Grappler will run the TRT optimizer twice. At the
# first time it will group the two transpose ops below to same segment
# then fail the conversion due to the expected batch dimension problem.
# At the second time, since the input of bridge op is TRTEngineOp_0, it
# will fail to do shape inference which then cause conversion to fail.
# TODO(laigd): support shape inference, make TRT optimizer run only
# once, and fix this.
incompatible_transpose = array_ops.transpose(
bridge, [2, 1, 0, 3], name="transpose-2")
excluded_transpose = array_ops.transpose(
incompatible_transpose, [0, 2, 3, 1], name="transpose-3")
return array_ops.identity(excluded_transpose, name="output_0")
def GetParams(self):
return self.BuildParams(self.GraphFn, dtypes.float32, [[100, 24, 24, 2]],
[[24, 100, 2, 24]])
def ExpectedEnginesToBuild(self, run_params):
"""Return the expected engines to build."""
return {
"TRTEngineOp_0": [
"transpose-1", "transpose-1/perm", "transposeback",
"transposeback/perm"
]
}
def ShouldRunTest(self, run_params):
"""Whether to run the test."""
return (not trt_test.IsQuantizationMode(run_params.precision_mode) and
not run_params.dynamic_engine)
if __name__ == "__main__":
test.main()
<｜fim▁end｜> | GetParams |
<|file_name|>reshape_transpose_test.py<|end_file_name|><｜fim▁begin｜># Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Basic tests for TF-TensorRT integration."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.compiler.tensorrt.test import tf_trt_integration_test_base as trt_test
from tensorflow.python.framework import dtypes
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import math_ops
from tensorflow.python.platform import test
class ReshapeTest(trt_test.TfTrtIntegrationTestBase):
def GraphFn(self, inp):
outputs = []
# Here we test two types of reshapes, one changes the batch dimension and
# the other does not. Note that we're not able to test reshaping to
# scalar, since TRT requires input tensor to be of rank at least 2, so a
# reshape with scalar input will be filtered out of the segment before
# conversion.
#
# These reshapes happen at batch dimension, thus conversion should fail.
for shape in [[2, 50, 24, 24, 2], [-1, 50, 24, 24, 2], [2, 50, -1, 24, 2]]:
incompatible_reshape = array_ops.reshape(inp, shape)
reshape_back = array_ops.reshape(incompatible_reshape, [-1, 24, 24, 2])
outputs.append(self.trt_incompatible_op(reshape_back))
# Add another block with many reshapes that don't change the batch
# dimension.
compatible_reshape = array_ops.reshape(
inp, [-1, 24 * 24, 2], name="reshape-0")
compatible_reshape = array_ops.reshape(
compatible_reshape, [100, 24, -1], name="reshape-1")
compatible_reshape = array_ops.reshape(
compatible_reshape, [100, 24 * 2, 24], name="reshape-2")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 24, 24 * 2], name="reshape-3")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 6, 4, 24, 2], name="reshape-4")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 6, 4, 6, 4, 2, 1], name="reshape-5")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 24, 24, 2], name="reshape-6")
outputs.append(self.trt_incompatible_op(compatible_reshape))
return math_ops.add_n(outputs, name="output_0")
def GetParams(self):
return self.BuildParams(self.GraphFn, dtypes.float32, [[100, 24, 24, 2]],
[[100, 24, 24, 2]])
def <|fim_middle|>(self, run_params):
"""Return the expected engines to build."""
return {
"TRTEngineOp_0": ["reshape-%d" % i for i in range(7)] +
["reshape-%d/shape" % i for i in range(7)]
}
def ShouldRunTest(self, run_params):
"""Whether to run the test."""
return (not trt_test.IsQuantizationMode(run_params.precision_mode) and
not run_params.dynamic_engine)
class TransposeTest(trt_test.TfTrtIntegrationTestBase):
def GraphFn(self, inp):
# Add a block with compatible transposes.
compatible_transpose = array_ops.transpose(
inp, [0, 3, 1, 2], name="transpose-1")
compatible_transpose = array_ops.transpose(
compatible_transpose, [0, 2, 3, 1], name="transposeback")
# Add an incompatible op so the first block will not be in the same
# subgraph where the following block belongs.
bridge = self.trt_incompatible_op(compatible_transpose)
# Add a block with incompatible transposes.
#
# Note: by default Grappler will run the TRT optimizer twice. At the
# first time it will group the two transpose ops below to same segment
# then fail the conversion due to the expected batch dimension problem.
# At the second time, since the input of bridge op is TRTEngineOp_0, it
# will fail to do shape inference which then cause conversion to fail.
# TODO(laigd): support shape inference, make TRT optimizer run only
# once, and fix this.
incompatible_transpose = array_ops.transpose(
bridge, [2, 1, 0, 3], name="transpose-2")
excluded_transpose = array_ops.transpose(
incompatible_transpose, [0, 2, 3, 1], name="transpose-3")
return array_ops.identity(excluded_transpose, name="output_0")
def GetParams(self):
return self.BuildParams(self.GraphFn, dtypes.float32, [[100, 24, 24, 2]],
[[24, 100, 2, 24]])
def ExpectedEnginesToBuild(self, run_params):
"""Return the expected engines to build."""
return {
"TRTEngineOp_0": [
"transpose-1", "transpose-1/perm", "transposeback",
"transposeback/perm"
]
}
def ShouldRunTest(self, run_params):
"""Whether to run the test."""
return (not trt_test.IsQuantizationMode(run_params.precision_mode) and
not run_params.dynamic_engine)
if __name__ == "__main__":
test.main()
<｜fim▁end｜> | ExpectedEnginesToBuild |
<|file_name|>reshape_transpose_test.py<|end_file_name|><｜fim▁begin｜># Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Basic tests for TF-TensorRT integration."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.compiler.tensorrt.test import tf_trt_integration_test_base as trt_test
from tensorflow.python.framework import dtypes
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import math_ops
from tensorflow.python.platform import test
class ReshapeTest(trt_test.TfTrtIntegrationTestBase):
def GraphFn(self, inp):
outputs = []
# Here we test two types of reshapes, one changes the batch dimension and
# the other does not. Note that we're not able to test reshaping to
# scalar, since TRT requires input tensor to be of rank at least 2, so a
# reshape with scalar input will be filtered out of the segment before
# conversion.
#
# These reshapes happen at batch dimension, thus conversion should fail.
for shape in [[2, 50, 24, 24, 2], [-1, 50, 24, 24, 2], [2, 50, -1, 24, 2]]:
incompatible_reshape = array_ops.reshape(inp, shape)
reshape_back = array_ops.reshape(incompatible_reshape, [-1, 24, 24, 2])
outputs.append(self.trt_incompatible_op(reshape_back))
# Add another block with many reshapes that don't change the batch
# dimension.
compatible_reshape = array_ops.reshape(
inp, [-1, 24 * 24, 2], name="reshape-0")
compatible_reshape = array_ops.reshape(
compatible_reshape, [100, 24, -1], name="reshape-1")
compatible_reshape = array_ops.reshape(
compatible_reshape, [100, 24 * 2, 24], name="reshape-2")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 24, 24 * 2], name="reshape-3")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 6, 4, 24, 2], name="reshape-4")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 6, 4, 6, 4, 2, 1], name="reshape-5")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 24, 24, 2], name="reshape-6")
outputs.append(self.trt_incompatible_op(compatible_reshape))
return math_ops.add_n(outputs, name="output_0")
def GetParams(self):
return self.BuildParams(self.GraphFn, dtypes.float32, [[100, 24, 24, 2]],
[[100, 24, 24, 2]])
def ExpectedEnginesToBuild(self, run_params):
"""Return the expected engines to build."""
return {
"TRTEngineOp_0": ["reshape-%d" % i for i in range(7)] +
["reshape-%d/shape" % i for i in range(7)]
}
def <|fim_middle|>(self, run_params):
"""Whether to run the test."""
return (not trt_test.IsQuantizationMode(run_params.precision_mode) and
not run_params.dynamic_engine)
class TransposeTest(trt_test.TfTrtIntegrationTestBase):
def GraphFn(self, inp):
# Add a block with compatible transposes.
compatible_transpose = array_ops.transpose(
inp, [0, 3, 1, 2], name="transpose-1")
compatible_transpose = array_ops.transpose(
compatible_transpose, [0, 2, 3, 1], name="transposeback")
# Add an incompatible op so the first block will not be in the same
# subgraph where the following block belongs.
bridge = self.trt_incompatible_op(compatible_transpose)
# Add a block with incompatible transposes.
#
# Note: by default Grappler will run the TRT optimizer twice. At the
# first time it will group the two transpose ops below to same segment
# then fail the conversion due to the expected batch dimension problem.
# At the second time, since the input of bridge op is TRTEngineOp_0, it
# will fail to do shape inference which then cause conversion to fail.
# TODO(laigd): support shape inference, make TRT optimizer run only
# once, and fix this.
incompatible_transpose = array_ops.transpose(
bridge, [2, 1, 0, 3], name="transpose-2")
excluded_transpose = array_ops.transpose(
incompatible_transpose, [0, 2, 3, 1], name="transpose-3")
return array_ops.identity(excluded_transpose, name="output_0")
def GetParams(self):
return self.BuildParams(self.GraphFn, dtypes.float32, [[100, 24, 24, 2]],
[[24, 100, 2, 24]])
def ExpectedEnginesToBuild(self, run_params):
"""Return the expected engines to build."""
return {
"TRTEngineOp_0": [
"transpose-1", "transpose-1/perm", "transposeback",
"transposeback/perm"
]
}
def ShouldRunTest(self, run_params):
"""Whether to run the test."""
return (not trt_test.IsQuantizationMode(run_params.precision_mode) and
not run_params.dynamic_engine)
if __name__ == "__main__":
test.main()
<｜fim▁end｜> | ShouldRunTest |
<|file_name|>reshape_transpose_test.py<|end_file_name|><｜fim▁begin｜># Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Basic tests for TF-TensorRT integration."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.compiler.tensorrt.test import tf_trt_integration_test_base as trt_test
from tensorflow.python.framework import dtypes
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import math_ops
from tensorflow.python.platform import test
class ReshapeTest(trt_test.TfTrtIntegrationTestBase):
def GraphFn(self, inp):
outputs = []
# Here we test two types of reshapes, one changes the batch dimension and
# the other does not. Note that we're not able to test reshaping to
# scalar, since TRT requires input tensor to be of rank at least 2, so a
# reshape with scalar input will be filtered out of the segment before
# conversion.
#
# These reshapes happen at batch dimension, thus conversion should fail.
for shape in [[2, 50, 24, 24, 2], [-1, 50, 24, 24, 2], [2, 50, -1, 24, 2]]:
incompatible_reshape = array_ops.reshape(inp, shape)
reshape_back = array_ops.reshape(incompatible_reshape, [-1, 24, 24, 2])
outputs.append(self.trt_incompatible_op(reshape_back))
# Add another block with many reshapes that don't change the batch
# dimension.
compatible_reshape = array_ops.reshape(
inp, [-1, 24 * 24, 2], name="reshape-0")
compatible_reshape = array_ops.reshape(
compatible_reshape, [100, 24, -1], name="reshape-1")
compatible_reshape = array_ops.reshape(
compatible_reshape, [100, 24 * 2, 24], name="reshape-2")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 24, 24 * 2], name="reshape-3")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 6, 4, 24, 2], name="reshape-4")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 6, 4, 6, 4, 2, 1], name="reshape-5")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 24, 24, 2], name="reshape-6")
outputs.append(self.trt_incompatible_op(compatible_reshape))
return math_ops.add_n(outputs, name="output_0")
def GetParams(self):
return self.BuildParams(self.GraphFn, dtypes.float32, [[100, 24, 24, 2]],
[[100, 24, 24, 2]])
def ExpectedEnginesToBuild(self, run_params):
"""Return the expected engines to build."""
return {
"TRTEngineOp_0": ["reshape-%d" % i for i in range(7)] +
["reshape-%d/shape" % i for i in range(7)]
}
def ShouldRunTest(self, run_params):
"""Whether to run the test."""
return (not trt_test.IsQuantizationMode(run_params.precision_mode) and
not run_params.dynamic_engine)
class TransposeTest(trt_test.TfTrtIntegrationTestBase):
def <|fim_middle|>(self, inp):
# Add a block with compatible transposes.
compatible_transpose = array_ops.transpose(
inp, [0, 3, 1, 2], name="transpose-1")
compatible_transpose = array_ops.transpose(
compatible_transpose, [0, 2, 3, 1], name="transposeback")
# Add an incompatible op so the first block will not be in the same
# subgraph where the following block belongs.
bridge = self.trt_incompatible_op(compatible_transpose)
# Add a block with incompatible transposes.
#
# Note: by default Grappler will run the TRT optimizer twice. At the
# first time it will group the two transpose ops below to same segment
# then fail the conversion due to the expected batch dimension problem.
# At the second time, since the input of bridge op is TRTEngineOp_0, it
# will fail to do shape inference which then cause conversion to fail.
# TODO(laigd): support shape inference, make TRT optimizer run only
# once, and fix this.
incompatible_transpose = array_ops.transpose(
bridge, [2, 1, 0, 3], name="transpose-2")
excluded_transpose = array_ops.transpose(
incompatible_transpose, [0, 2, 3, 1], name="transpose-3")
return array_ops.identity(excluded_transpose, name="output_0")
def GetParams(self):
return self.BuildParams(self.GraphFn, dtypes.float32, [[100, 24, 24, 2]],
[[24, 100, 2, 24]])
def ExpectedEnginesToBuild(self, run_params):
"""Return the expected engines to build."""
return {
"TRTEngineOp_0": [
"transpose-1", "transpose-1/perm", "transposeback",
"transposeback/perm"
]
}
def ShouldRunTest(self, run_params):
"""Whether to run the test."""
return (not trt_test.IsQuantizationMode(run_params.precision_mode) and
not run_params.dynamic_engine)
if __name__ == "__main__":
test.main()
<｜fim▁end｜> | GraphFn |
<|file_name|>reshape_transpose_test.py<|end_file_name|><｜fim▁begin｜># Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Basic tests for TF-TensorRT integration."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.compiler.tensorrt.test import tf_trt_integration_test_base as trt_test
from tensorflow.python.framework import dtypes
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import math_ops
from tensorflow.python.platform import test
class ReshapeTest(trt_test.TfTrtIntegrationTestBase):
def GraphFn(self, inp):
outputs = []
# Here we test two types of reshapes, one changes the batch dimension and
# the other does not. Note that we're not able to test reshaping to
# scalar, since TRT requires input tensor to be of rank at least 2, so a
# reshape with scalar input will be filtered out of the segment before
# conversion.
#
# These reshapes happen at batch dimension, thus conversion should fail.
for shape in [[2, 50, 24, 24, 2], [-1, 50, 24, 24, 2], [2, 50, -1, 24, 2]]:
incompatible_reshape = array_ops.reshape(inp, shape)
reshape_back = array_ops.reshape(incompatible_reshape, [-1, 24, 24, 2])
outputs.append(self.trt_incompatible_op(reshape_back))
# Add another block with many reshapes that don't change the batch
# dimension.
compatible_reshape = array_ops.reshape(
inp, [-1, 24 * 24, 2], name="reshape-0")
compatible_reshape = array_ops.reshape(
compatible_reshape, [100, 24, -1], name="reshape-1")
compatible_reshape = array_ops.reshape(
compatible_reshape, [100, 24 * 2, 24], name="reshape-2")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 24, 24 * 2], name="reshape-3")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 6, 4, 24, 2], name="reshape-4")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 6, 4, 6, 4, 2, 1], name="reshape-5")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 24, 24, 2], name="reshape-6")
outputs.append(self.trt_incompatible_op(compatible_reshape))
return math_ops.add_n(outputs, name="output_0")
def GetParams(self):
return self.BuildParams(self.GraphFn, dtypes.float32, [[100, 24, 24, 2]],
[[100, 24, 24, 2]])
def ExpectedEnginesToBuild(self, run_params):
"""Return the expected engines to build."""
return {
"TRTEngineOp_0": ["reshape-%d" % i for i in range(7)] +
["reshape-%d/shape" % i for i in range(7)]
}
def ShouldRunTest(self, run_params):
"""Whether to run the test."""
return (not trt_test.IsQuantizationMode(run_params.precision_mode) and
not run_params.dynamic_engine)
class TransposeTest(trt_test.TfTrtIntegrationTestBase):
def GraphFn(self, inp):
# Add a block with compatible transposes.
compatible_transpose = array_ops.transpose(
inp, [0, 3, 1, 2], name="transpose-1")
compatible_transpose = array_ops.transpose(
compatible_transpose, [0, 2, 3, 1], name="transposeback")
# Add an incompatible op so the first block will not be in the same
# subgraph where the following block belongs.
bridge = self.trt_incompatible_op(compatible_transpose)
# Add a block with incompatible transposes.
#
# Note: by default Grappler will run the TRT optimizer twice. At the
# first time it will group the two transpose ops below to same segment
# then fail the conversion due to the expected batch dimension problem.
# At the second time, since the input of bridge op is TRTEngineOp_0, it
# will fail to do shape inference which then cause conversion to fail.
# TODO(laigd): support shape inference, make TRT optimizer run only
# once, and fix this.
incompatible_transpose = array_ops.transpose(
bridge, [2, 1, 0, 3], name="transpose-2")
excluded_transpose = array_ops.transpose(
incompatible_transpose, [0, 2, 3, 1], name="transpose-3")
return array_ops.identity(excluded_transpose, name="output_0")
def <|fim_middle|>(self):
return self.BuildParams(self.GraphFn, dtypes.float32, [[100, 24, 24, 2]],
[[24, 100, 2, 24]])
def ExpectedEnginesToBuild(self, run_params):
"""Return the expected engines to build."""
return {
"TRTEngineOp_0": [
"transpose-1", "transpose-1/perm", "transposeback",
"transposeback/perm"
]
}
def ShouldRunTest(self, run_params):
"""Whether to run the test."""
return (not trt_test.IsQuantizationMode(run_params.precision_mode) and
not run_params.dynamic_engine)
if __name__ == "__main__":
test.main()
<｜fim▁end｜> | GetParams |
<|file_name|>reshape_transpose_test.py<|end_file_name|><｜fim▁begin｜># Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Basic tests for TF-TensorRT integration."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.compiler.tensorrt.test import tf_trt_integration_test_base as trt_test
from tensorflow.python.framework import dtypes
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import math_ops
from tensorflow.python.platform import test
class ReshapeTest(trt_test.TfTrtIntegrationTestBase):
def GraphFn(self, inp):
outputs = []
# Here we test two types of reshapes, one changes the batch dimension and
# the other does not. Note that we're not able to test reshaping to
# scalar, since TRT requires input tensor to be of rank at least 2, so a
# reshape with scalar input will be filtered out of the segment before
# conversion.
#
# These reshapes happen at batch dimension, thus conversion should fail.
for shape in [[2, 50, 24, 24, 2], [-1, 50, 24, 24, 2], [2, 50, -1, 24, 2]]:
incompatible_reshape = array_ops.reshape(inp, shape)
reshape_back = array_ops.reshape(incompatible_reshape, [-1, 24, 24, 2])
outputs.append(self.trt_incompatible_op(reshape_back))
# Add another block with many reshapes that don't change the batch
# dimension.
compatible_reshape = array_ops.reshape(
inp, [-1, 24 * 24, 2], name="reshape-0")
compatible_reshape = array_ops.reshape(
compatible_reshape, [100, 24, -1], name="reshape-1")
compatible_reshape = array_ops.reshape(
compatible_reshape, [100, 24 * 2, 24], name="reshape-2")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 24, 24 * 2], name="reshape-3")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 6, 4, 24, 2], name="reshape-4")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 6, 4, 6, 4, 2, 1], name="reshape-5")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 24, 24, 2], name="reshape-6")
outputs.append(self.trt_incompatible_op(compatible_reshape))
return math_ops.add_n(outputs, name="output_0")
def GetParams(self):
return self.BuildParams(self.GraphFn, dtypes.float32, [[100, 24, 24, 2]],
[[100, 24, 24, 2]])
def ExpectedEnginesToBuild(self, run_params):
"""Return the expected engines to build."""
return {
"TRTEngineOp_0": ["reshape-%d" % i for i in range(7)] +
["reshape-%d/shape" % i for i in range(7)]
}
def ShouldRunTest(self, run_params):
"""Whether to run the test."""
return (not trt_test.IsQuantizationMode(run_params.precision_mode) and
not run_params.dynamic_engine)
class TransposeTest(trt_test.TfTrtIntegrationTestBase):
def GraphFn(self, inp):
# Add a block with compatible transposes.
compatible_transpose = array_ops.transpose(
inp, [0, 3, 1, 2], name="transpose-1")
compatible_transpose = array_ops.transpose(
compatible_transpose, [0, 2, 3, 1], name="transposeback")
# Add an incompatible op so the first block will not be in the same
# subgraph where the following block belongs.
bridge = self.trt_incompatible_op(compatible_transpose)
# Add a block with incompatible transposes.
#
# Note: by default Grappler will run the TRT optimizer twice. At the
# first time it will group the two transpose ops below to same segment
# then fail the conversion due to the expected batch dimension problem.
# At the second time, since the input of bridge op is TRTEngineOp_0, it
# will fail to do shape inference which then cause conversion to fail.
# TODO(laigd): support shape inference, make TRT optimizer run only
# once, and fix this.
incompatible_transpose = array_ops.transpose(
bridge, [2, 1, 0, 3], name="transpose-2")
excluded_transpose = array_ops.transpose(
incompatible_transpose, [0, 2, 3, 1], name="transpose-3")
return array_ops.identity(excluded_transpose, name="output_0")
def GetParams(self):
return self.BuildParams(self.GraphFn, dtypes.float32, [[100, 24, 24, 2]],
[[24, 100, 2, 24]])
def <|fim_middle|>(self, run_params):
"""Return the expected engines to build."""
return {
"TRTEngineOp_0": [
"transpose-1", "transpose-1/perm", "transposeback",
"transposeback/perm"
]
}
def ShouldRunTest(self, run_params):
"""Whether to run the test."""
return (not trt_test.IsQuantizationMode(run_params.precision_mode) and
not run_params.dynamic_engine)
if __name__ == "__main__":
test.main()
<｜fim▁end｜> | ExpectedEnginesToBuild |
<|file_name|>reshape_transpose_test.py<|end_file_name|><｜fim▁begin｜># Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Basic tests for TF-TensorRT integration."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.compiler.tensorrt.test import tf_trt_integration_test_base as trt_test
from tensorflow.python.framework import dtypes
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import math_ops
from tensorflow.python.platform import test
class ReshapeTest(trt_test.TfTrtIntegrationTestBase):
def GraphFn(self, inp):
outputs = []
# Here we test two types of reshapes, one changes the batch dimension and
# the other does not. Note that we're not able to test reshaping to
# scalar, since TRT requires input tensor to be of rank at least 2, so a
# reshape with scalar input will be filtered out of the segment before
# conversion.
#
# These reshapes happen at batch dimension, thus conversion should fail.
for shape in [[2, 50, 24, 24, 2], [-1, 50, 24, 24, 2], [2, 50, -1, 24, 2]]:
incompatible_reshape = array_ops.reshape(inp, shape)
reshape_back = array_ops.reshape(incompatible_reshape, [-1, 24, 24, 2])
outputs.append(self.trt_incompatible_op(reshape_back))
# Add another block with many reshapes that don't change the batch
# dimension.
compatible_reshape = array_ops.reshape(
inp, [-1, 24 * 24, 2], name="reshape-0")
compatible_reshape = array_ops.reshape(
compatible_reshape, [100, 24, -1], name="reshape-1")
compatible_reshape = array_ops.reshape(
compatible_reshape, [100, 24 * 2, 24], name="reshape-2")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 24, 24 * 2], name="reshape-3")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 6, 4, 24, 2], name="reshape-4")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 6, 4, 6, 4, 2, 1], name="reshape-5")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 24, 24, 2], name="reshape-6")
outputs.append(self.trt_incompatible_op(compatible_reshape))
return math_ops.add_n(outputs, name="output_0")
def GetParams(self):
return self.BuildParams(self.GraphFn, dtypes.float32, [[100, 24, 24, 2]],
[[100, 24, 24, 2]])
def ExpectedEnginesToBuild(self, run_params):
"""Return the expected engines to build."""
return {
"TRTEngineOp_0": ["reshape-%d" % i for i in range(7)] +
["reshape-%d/shape" % i for i in range(7)]
}
def ShouldRunTest(self, run_params):
"""Whether to run the test."""
return (not trt_test.IsQuantizationMode(run_params.precision_mode) and
not run_params.dynamic_engine)
class TransposeTest(trt_test.TfTrtIntegrationTestBase):
def GraphFn(self, inp):
# Add a block with compatible transposes.
compatible_transpose = array_ops.transpose(
inp, [0, 3, 1, 2], name="transpose-1")
compatible_transpose = array_ops.transpose(
compatible_transpose, [0, 2, 3, 1], name="transposeback")
# Add an incompatible op so the first block will not be in the same
# subgraph where the following block belongs.
bridge = self.trt_incompatible_op(compatible_transpose)
# Add a block with incompatible transposes.
#
# Note: by default Grappler will run the TRT optimizer twice. At the
# first time it will group the two transpose ops below to same segment
# then fail the conversion due to the expected batch dimension problem.
# At the second time, since the input of bridge op is TRTEngineOp_0, it
# will fail to do shape inference which then cause conversion to fail.
# TODO(laigd): support shape inference, make TRT optimizer run only
# once, and fix this.
incompatible_transpose = array_ops.transpose(
bridge, [2, 1, 0, 3], name="transpose-2")
excluded_transpose = array_ops.transpose(
incompatible_transpose, [0, 2, 3, 1], name="transpose-3")
return array_ops.identity(excluded_transpose, name="output_0")
def GetParams(self):
return self.BuildParams(self.GraphFn, dtypes.float32, [[100, 24, 24, 2]],
[[24, 100, 2, 24]])
def ExpectedEnginesToBuild(self, run_params):
"""Return the expected engines to build."""
return {
"TRTEngineOp_0": [
"transpose-1", "transpose-1/perm", "transposeback",
"transposeback/perm"
]
}
def <|fim_middle|>(self, run_params):
"""Whether to run the test."""
return (not trt_test.IsQuantizationMode(run_params.precision_mode) and
not run_params.dynamic_engine)
if __name__ == "__main__":
test.main()
<｜fim▁end｜> | ShouldRunTest |
<|file_name|>reshape_transpose_test.py<|end_file_name|><｜fim▁begin｜># Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Basic tests for TF-TensorRT integration."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.compiler.tensorrt.test import tf_trt_integration_test_base as trt_test
from tensorflow.python.framework import dtypes
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import math_ops
from tensorflow.python.platform import test
class ReshapeTest(trt_test.TfTrtIntegrationTestBase):
<|fim_middle|>
class TransposeTest(trt_test.TfTrtIntegrationTestBase):
def GraphFn(self, inp):
# Add a block with compatible transposes.
compatible_transpose = array_ops.transpose(
inp, [0, 3, 1, 2], name="transpose-1")
compatible_transpose = array_ops.transpose(
compatible_transpose, [0, 2, 3, 1], name="transposeback")
# Add an incompatible op so the first block will not be in the same
# subgraph where the following block belongs.
bridge = self.trt_incompatible_op(compatible_transpose)
# Add a block with incompatible transposes.
#
# Note: by default Grappler will run the TRT optimizer twice. At the
# first time it will group the two transpose ops below to same segment
# then fail the conversion due to the expected batch dimension problem.
# At the second time, since the input of bridge op is TRTEngineOp_0, it
# will fail to do shape inference which then cause conversion to fail.
# TODO(laigd): support shape inference, make TRT optimizer run only
# once, and fix this.
incompatible_transpose = array_ops.transpose(
bridge, [2, 1, 0, 3], name="transpose-2")
excluded_transpose = array_ops.transpose(
incompatible_transpose, [0, 2, 3, 1], name="transpose-3")
return array_ops.identity(excluded_transpose, name="output_0")
def GetParams(self):
return self.BuildParams(self.GraphFn, dtypes.float32, [[100, 24, 24, 2]],
[[24, 100, 2, 24]])
def ExpectedEnginesToBuild(self, run_params):
"""Return the expected engines to build."""
return {
"TRTEngineOp_0": [
"transpose-1", "transpose-1/perm", "transposeback",
"transposeback/perm"
]
}
def ShouldRunTest(self, run_params):
"""Whether to run the test."""
return (not trt_test.IsQuantizationMode(run_params.precision_mode) and
not run_params.dynamic_engine)
if __name__ == "__main__":
test.main()
<｜fim▁end｜> | def GraphFn(self, inp):
outputs = []
# Here we test two types of reshapes, one changes the batch dimension and
# the other does not. Note that we're not able to test reshaping to
# scalar, since TRT requires input tensor to be of rank at least 2, so a
# reshape with scalar input will be filtered out of the segment before
# conversion.
#
# These reshapes happen at batch dimension, thus conversion should fail.
for shape in [[2, 50, 24, 24, 2], [-1, 50, 24, 24, 2], [2, 50, -1, 24, 2]]:
incompatible_reshape = array_ops.reshape(inp, shape)
reshape_back = array_ops.reshape(incompatible_reshape, [-1, 24, 24, 2])
outputs.append(self.trt_incompatible_op(reshape_back))
# Add another block with many reshapes that don't change the batch
# dimension.
compatible_reshape = array_ops.reshape(
inp, [-1, 24 * 24, 2], name="reshape-0")
compatible_reshape = array_ops.reshape(
compatible_reshape, [100, 24, -1], name="reshape-1")
compatible_reshape = array_ops.reshape(
compatible_reshape, [100, 24 * 2, 24], name="reshape-2")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 24, 24 * 2], name="reshape-3")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 6, 4, 24, 2], name="reshape-4")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 6, 4, 6, 4, 2, 1], name="reshape-5")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 24, 24, 2], name="reshape-6")
outputs.append(self.trt_incompatible_op(compatible_reshape))
return math_ops.add_n(outputs, name="output_0")
def GetParams(self):
return self.BuildParams(self.GraphFn, dtypes.float32, [[100, 24, 24, 2]],
[[100, 24, 24, 2]])
def ExpectedEnginesToBuild(self, run_params):
"""Return the expected engines to build."""
return {
"TRTEngineOp_0": ["reshape-%d" % i for i in range(7)] +
["reshape-%d/shape" % i for i in range(7)]
}
def ShouldRunTest(self, run_params):
"""Whether to run the test."""
return (not trt_test.IsQuantizationMode(run_params.precision_mode) and
not run_params.dynamic_engine) |
<|file_name|>reshape_transpose_test.py<|end_file_name|><｜fim▁begin｜># Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Basic tests for TF-TensorRT integration."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.compiler.tensorrt.test import tf_trt_integration_test_base as trt_test
from tensorflow.python.framework import dtypes
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import math_ops
from tensorflow.python.platform import test
class ReshapeTest(trt_test.TfTrtIntegrationTestBase):
def GraphFn(self, inp):
<|fim_middle|>
def GetParams(self):
return self.BuildParams(self.GraphFn, dtypes.float32, [[100, 24, 24, 2]],
[[100, 24, 24, 2]])
def ExpectedEnginesToBuild(self, run_params):
"""Return the expected engines to build."""
return {
"TRTEngineOp_0": ["reshape-%d" % i for i in range(7)] +
["reshape-%d/shape" % i for i in range(7)]
}
def ShouldRunTest(self, run_params):
"""Whether to run the test."""
return (not trt_test.IsQuantizationMode(run_params.precision_mode) and
not run_params.dynamic_engine)
class TransposeTest(trt_test.TfTrtIntegrationTestBase):
def GraphFn(self, inp):
# Add a block with compatible transposes.
compatible_transpose = array_ops.transpose(
inp, [0, 3, 1, 2], name="transpose-1")
compatible_transpose = array_ops.transpose(
compatible_transpose, [0, 2, 3, 1], name="transposeback")
# Add an incompatible op so the first block will not be in the same
# subgraph where the following block belongs.
bridge = self.trt_incompatible_op(compatible_transpose)
# Add a block with incompatible transposes.
#
# Note: by default Grappler will run the TRT optimizer twice. At the
# first time it will group the two transpose ops below to same segment
# then fail the conversion due to the expected batch dimension problem.
# At the second time, since the input of bridge op is TRTEngineOp_0, it
# will fail to do shape inference which then cause conversion to fail.
# TODO(laigd): support shape inference, make TRT optimizer run only
# once, and fix this.
incompatible_transpose = array_ops.transpose(
bridge, [2, 1, 0, 3], name="transpose-2")
excluded_transpose = array_ops.transpose(
incompatible_transpose, [0, 2, 3, 1], name="transpose-3")
return array_ops.identity(excluded_transpose, name="output_0")
def GetParams(self):
return self.BuildParams(self.GraphFn, dtypes.float32, [[100, 24, 24, 2]],
[[24, 100, 2, 24]])
def ExpectedEnginesToBuild(self, run_params):
"""Return the expected engines to build."""
return {
"TRTEngineOp_0": [
"transpose-1", "transpose-1/perm", "transposeback",
"transposeback/perm"
]
}
def ShouldRunTest(self, run_params):
"""Whether to run the test."""
return (not trt_test.IsQuantizationMode(run_params.precision_mode) and
not run_params.dynamic_engine)
if __name__ == "__main__":
test.main()
<｜fim▁end｜> | outputs = []
# Here we test two types of reshapes, one changes the batch dimension and
# the other does not. Note that we're not able to test reshaping to
# scalar, since TRT requires input tensor to be of rank at least 2, so a
# reshape with scalar input will be filtered out of the segment before
# conversion.
#
# These reshapes happen at batch dimension, thus conversion should fail.
for shape in [[2, 50, 24, 24, 2], [-1, 50, 24, 24, 2], [2, 50, -1, 24, 2]]:
incompatible_reshape = array_ops.reshape(inp, shape)
reshape_back = array_ops.reshape(incompatible_reshape, [-1, 24, 24, 2])
outputs.append(self.trt_incompatible_op(reshape_back))
# Add another block with many reshapes that don't change the batch
# dimension.
compatible_reshape = array_ops.reshape(
inp, [-1, 24 * 24, 2], name="reshape-0")
compatible_reshape = array_ops.reshape(
compatible_reshape, [100, 24, -1], name="reshape-1")
compatible_reshape = array_ops.reshape(
compatible_reshape, [100, 24 * 2, 24], name="reshape-2")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 24, 24 * 2], name="reshape-3")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 6, 4, 24, 2], name="reshape-4")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 6, 4, 6, 4, 2, 1], name="reshape-5")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 24, 24, 2], name="reshape-6")
outputs.append(self.trt_incompatible_op(compatible_reshape))
return math_ops.add_n(outputs, name="output_0") |
<|file_name|>reshape_transpose_test.py<|end_file_name|><｜fim▁begin｜># Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Basic tests for TF-TensorRT integration."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.compiler.tensorrt.test import tf_trt_integration_test_base as trt_test
from tensorflow.python.framework import dtypes
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import math_ops
from tensorflow.python.platform import test
class ReshapeTest(trt_test.TfTrtIntegrationTestBase):
def GraphFn(self, inp):
outputs = []
# Here we test two types of reshapes, one changes the batch dimension and
# the other does not. Note that we're not able to test reshaping to
# scalar, since TRT requires input tensor to be of rank at least 2, so a
# reshape with scalar input will be filtered out of the segment before
# conversion.
#
# These reshapes happen at batch dimension, thus conversion should fail.
for shape in [[2, 50, 24, 24, 2], [-1, 50, 24, 24, 2], [2, 50, -1, 24, 2]]:
incompatible_reshape = array_ops.reshape(inp, shape)
reshape_back = array_ops.reshape(incompatible_reshape, [-1, 24, 24, 2])
outputs.append(self.trt_incompatible_op(reshape_back))
# Add another block with many reshapes that don't change the batch
# dimension.
compatible_reshape = array_ops.reshape(
inp, [-1, 24 * 24, 2], name="reshape-0")
compatible_reshape = array_ops.reshape(
compatible_reshape, [100, 24, -1], name="reshape-1")
compatible_reshape = array_ops.reshape(
compatible_reshape, [100, 24 * 2, 24], name="reshape-2")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 24, 24 * 2], name="reshape-3")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 6, 4, 24, 2], name="reshape-4")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 6, 4, 6, 4, 2, 1], name="reshape-5")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 24, 24, 2], name="reshape-6")
outputs.append(self.trt_incompatible_op(compatible_reshape))
return math_ops.add_n(outputs, name="output_0")
def GetParams(self):
<|fim_middle|>
def ExpectedEnginesToBuild(self, run_params):
"""Return the expected engines to build."""
return {
"TRTEngineOp_0": ["reshape-%d" % i for i in range(7)] +
["reshape-%d/shape" % i for i in range(7)]
}
def ShouldRunTest(self, run_params):
"""Whether to run the test."""
return (not trt_test.IsQuantizationMode(run_params.precision_mode) and
not run_params.dynamic_engine)
class TransposeTest(trt_test.TfTrtIntegrationTestBase):
def GraphFn(self, inp):
# Add a block with compatible transposes.
compatible_transpose = array_ops.transpose(
inp, [0, 3, 1, 2], name="transpose-1")
compatible_transpose = array_ops.transpose(
compatible_transpose, [0, 2, 3, 1], name="transposeback")
# Add an incompatible op so the first block will not be in the same
# subgraph where the following block belongs.
bridge = self.trt_incompatible_op(compatible_transpose)
# Add a block with incompatible transposes.
#
# Note: by default Grappler will run the TRT optimizer twice. At the
# first time it will group the two transpose ops below to same segment
# then fail the conversion due to the expected batch dimension problem.
# At the second time, since the input of bridge op is TRTEngineOp_0, it
# will fail to do shape inference which then cause conversion to fail.
# TODO(laigd): support shape inference, make TRT optimizer run only
# once, and fix this.
incompatible_transpose = array_ops.transpose(
bridge, [2, 1, 0, 3], name="transpose-2")
excluded_transpose = array_ops.transpose(
incompatible_transpose, [0, 2, 3, 1], name="transpose-3")
return array_ops.identity(excluded_transpose, name="output_0")
def GetParams(self):
return self.BuildParams(self.GraphFn, dtypes.float32, [[100, 24, 24, 2]],
[[24, 100, 2, 24]])
def ExpectedEnginesToBuild(self, run_params):
"""Return the expected engines to build."""
return {
"TRTEngineOp_0": [
"transpose-1", "transpose-1/perm", "transposeback",
"transposeback/perm"
]
}
def ShouldRunTest(self, run_params):
"""Whether to run the test."""
return (not trt_test.IsQuantizationMode(run_params.precision_mode) and
not run_params.dynamic_engine)
if __name__ == "__main__":
test.main()
<｜fim▁end｜> | return self.BuildParams(self.GraphFn, dtypes.float32, [[100, 24, 24, 2]],
[[100, 24, 24, 2]]) |
<|file_name|>reshape_transpose_test.py<|end_file_name|><｜fim▁begin｜># Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Basic tests for TF-TensorRT integration."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.compiler.tensorrt.test import tf_trt_integration_test_base as trt_test
from tensorflow.python.framework import dtypes
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import math_ops
from tensorflow.python.platform import test
class ReshapeTest(trt_test.TfTrtIntegrationTestBase):
def GraphFn(self, inp):
outputs = []
# Here we test two types of reshapes, one changes the batch dimension and
# the other does not. Note that we're not able to test reshaping to
# scalar, since TRT requires input tensor to be of rank at least 2, so a
# reshape with scalar input will be filtered out of the segment before
# conversion.
#
# These reshapes happen at batch dimension, thus conversion should fail.
for shape in [[2, 50, 24, 24, 2], [-1, 50, 24, 24, 2], [2, 50, -1, 24, 2]]:
incompatible_reshape = array_ops.reshape(inp, shape)
reshape_back = array_ops.reshape(incompatible_reshape, [-1, 24, 24, 2])
outputs.append(self.trt_incompatible_op(reshape_back))
# Add another block with many reshapes that don't change the batch
# dimension.
compatible_reshape = array_ops.reshape(
inp, [-1, 24 * 24, 2], name="reshape-0")
compatible_reshape = array_ops.reshape(
compatible_reshape, [100, 24, -1], name="reshape-1")
compatible_reshape = array_ops.reshape(
compatible_reshape, [100, 24 * 2, 24], name="reshape-2")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 24, 24 * 2], name="reshape-3")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 6, 4, 24, 2], name="reshape-4")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 6, 4, 6, 4, 2, 1], name="reshape-5")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 24, 24, 2], name="reshape-6")
outputs.append(self.trt_incompatible_op(compatible_reshape))
return math_ops.add_n(outputs, name="output_0")
def GetParams(self):
return self.BuildParams(self.GraphFn, dtypes.float32, [[100, 24, 24, 2]],
[[100, 24, 24, 2]])
def ExpectedEnginesToBuild(self, run_params):
<|fim_middle|>
def ShouldRunTest(self, run_params):
"""Whether to run the test."""
return (not trt_test.IsQuantizationMode(run_params.precision_mode) and
not run_params.dynamic_engine)
class TransposeTest(trt_test.TfTrtIntegrationTestBase):
def GraphFn(self, inp):
# Add a block with compatible transposes.
compatible_transpose = array_ops.transpose(
inp, [0, 3, 1, 2], name="transpose-1")
compatible_transpose = array_ops.transpose(
compatible_transpose, [0, 2, 3, 1], name="transposeback")
# Add an incompatible op so the first block will not be in the same
# subgraph where the following block belongs.
bridge = self.trt_incompatible_op(compatible_transpose)
# Add a block with incompatible transposes.
#
# Note: by default Grappler will run the TRT optimizer twice. At the
# first time it will group the two transpose ops below to same segment
# then fail the conversion due to the expected batch dimension problem.
# At the second time, since the input of bridge op is TRTEngineOp_0, it
# will fail to do shape inference which then cause conversion to fail.
# TODO(laigd): support shape inference, make TRT optimizer run only
# once, and fix this.
incompatible_transpose = array_ops.transpose(
bridge, [2, 1, 0, 3], name="transpose-2")
excluded_transpose = array_ops.transpose(
incompatible_transpose, [0, 2, 3, 1], name="transpose-3")
return array_ops.identity(excluded_transpose, name="output_0")
def GetParams(self):
return self.BuildParams(self.GraphFn, dtypes.float32, [[100, 24, 24, 2]],
[[24, 100, 2, 24]])
def ExpectedEnginesToBuild(self, run_params):
"""Return the expected engines to build."""
return {
"TRTEngineOp_0": [
"transpose-1", "transpose-1/perm", "transposeback",
"transposeback/perm"
]
}
def ShouldRunTest(self, run_params):
"""Whether to run the test."""
return (not trt_test.IsQuantizationMode(run_params.precision_mode) and
not run_params.dynamic_engine)
if __name__ == "__main__":
test.main()
<｜fim▁end｜> | """Return the expected engines to build."""
return {
"TRTEngineOp_0": ["reshape-%d" % i for i in range(7)] +
["reshape-%d/shape" % i for i in range(7)]
} |
<|file_name|>reshape_transpose_test.py<|end_file_name|><｜fim▁begin｜># Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Basic tests for TF-TensorRT integration."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.compiler.tensorrt.test import tf_trt_integration_test_base as trt_test
from tensorflow.python.framework import dtypes
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import math_ops
from tensorflow.python.platform import test
class ReshapeTest(trt_test.TfTrtIntegrationTestBase):
def GraphFn(self, inp):
outputs = []
# Here we test two types of reshapes, one changes the batch dimension and
# the other does not. Note that we're not able to test reshaping to
# scalar, since TRT requires input tensor to be of rank at least 2, so a
# reshape with scalar input will be filtered out of the segment before
# conversion.
#
# These reshapes happen at batch dimension, thus conversion should fail.
for shape in [[2, 50, 24, 24, 2], [-1, 50, 24, 24, 2], [2, 50, -1, 24, 2]]:
incompatible_reshape = array_ops.reshape(inp, shape)
reshape_back = array_ops.reshape(incompatible_reshape, [-1, 24, 24, 2])
outputs.append(self.trt_incompatible_op(reshape_back))
# Add another block with many reshapes that don't change the batch
# dimension.
compatible_reshape = array_ops.reshape(
inp, [-1, 24 * 24, 2], name="reshape-0")
compatible_reshape = array_ops.reshape(
compatible_reshape, [100, 24, -1], name="reshape-1")
compatible_reshape = array_ops.reshape(
compatible_reshape, [100, 24 * 2, 24], name="reshape-2")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 24, 24 * 2], name="reshape-3")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 6, 4, 24, 2], name="reshape-4")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 6, 4, 6, 4, 2, 1], name="reshape-5")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 24, 24, 2], name="reshape-6")
outputs.append(self.trt_incompatible_op(compatible_reshape))
return math_ops.add_n(outputs, name="output_0")
def GetParams(self):
return self.BuildParams(self.GraphFn, dtypes.float32, [[100, 24, 24, 2]],
[[100, 24, 24, 2]])
def ExpectedEnginesToBuild(self, run_params):
"""Return the expected engines to build."""
return {
"TRTEngineOp_0": ["reshape-%d" % i for i in range(7)] +
["reshape-%d/shape" % i for i in range(7)]
}
def ShouldRunTest(self, run_params):
<|fim_middle|>
class TransposeTest(trt_test.TfTrtIntegrationTestBase):
def GraphFn(self, inp):
# Add a block with compatible transposes.
compatible_transpose = array_ops.transpose(
inp, [0, 3, 1, 2], name="transpose-1")
compatible_transpose = array_ops.transpose(
compatible_transpose, [0, 2, 3, 1], name="transposeback")
# Add an incompatible op so the first block will not be in the same
# subgraph where the following block belongs.
bridge = self.trt_incompatible_op(compatible_transpose)
# Add a block with incompatible transposes.
#
# Note: by default Grappler will run the TRT optimizer twice. At the
# first time it will group the two transpose ops below to same segment
# then fail the conversion due to the expected batch dimension problem.
# At the second time, since the input of bridge op is TRTEngineOp_0, it
# will fail to do shape inference which then cause conversion to fail.
# TODO(laigd): support shape inference, make TRT optimizer run only
# once, and fix this.
incompatible_transpose = array_ops.transpose(
bridge, [2, 1, 0, 3], name="transpose-2")
excluded_transpose = array_ops.transpose(
incompatible_transpose, [0, 2, 3, 1], name="transpose-3")
return array_ops.identity(excluded_transpose, name="output_0")
def GetParams(self):
return self.BuildParams(self.GraphFn, dtypes.float32, [[100, 24, 24, 2]],
[[24, 100, 2, 24]])
def ExpectedEnginesToBuild(self, run_params):
"""Return the expected engines to build."""
return {
"TRTEngineOp_0": [
"transpose-1", "transpose-1/perm", "transposeback",
"transposeback/perm"
]
}
def ShouldRunTest(self, run_params):
"""Whether to run the test."""
return (not trt_test.IsQuantizationMode(run_params.precision_mode) and
not run_params.dynamic_engine)
if __name__ == "__main__":
test.main()
<｜fim▁end｜> | """Whether to run the test."""
return (not trt_test.IsQuantizationMode(run_params.precision_mode) and
not run_params.dynamic_engine) |
<|file_name|>reshape_transpose_test.py<|end_file_name|><｜fim▁begin｜># Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Basic tests for TF-TensorRT integration."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.compiler.tensorrt.test import tf_trt_integration_test_base as trt_test
from tensorflow.python.framework import dtypes
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import math_ops
from tensorflow.python.platform import test
class ReshapeTest(trt_test.TfTrtIntegrationTestBase):
def GraphFn(self, inp):
outputs = []
# Here we test two types of reshapes, one changes the batch dimension and
# the other does not. Note that we're not able to test reshaping to
# scalar, since TRT requires input tensor to be of rank at least 2, so a
# reshape with scalar input will be filtered out of the segment before
# conversion.
#
# These reshapes happen at batch dimension, thus conversion should fail.
for shape in [[2, 50, 24, 24, 2], [-1, 50, 24, 24, 2], [2, 50, -1, 24, 2]]:
incompatible_reshape = array_ops.reshape(inp, shape)
reshape_back = array_ops.reshape(incompatible_reshape, [-1, 24, 24, 2])
outputs.append(self.trt_incompatible_op(reshape_back))
# Add another block with many reshapes that don't change the batch
# dimension.
compatible_reshape = array_ops.reshape(
inp, [-1, 24 * 24, 2], name="reshape-0")
compatible_reshape = array_ops.reshape(
compatible_reshape, [100, 24, -1], name="reshape-1")
compatible_reshape = array_ops.reshape(
compatible_reshape, [100, 24 * 2, 24], name="reshape-2")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 24, 24 * 2], name="reshape-3")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 6, 4, 24, 2], name="reshape-4")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 6, 4, 6, 4, 2, 1], name="reshape-5")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 24, 24, 2], name="reshape-6")
outputs.append(self.trt_incompatible_op(compatible_reshape))
return math_ops.add_n(outputs, name="output_0")
def GetParams(self):
return self.BuildParams(self.GraphFn, dtypes.float32, [[100, 24, 24, 2]],
[[100, 24, 24, 2]])
def ExpectedEnginesToBuild(self, run_params):
"""Return the expected engines to build."""
return {
"TRTEngineOp_0": ["reshape-%d" % i for i in range(7)] +
["reshape-%d/shape" % i for i in range(7)]
}
def ShouldRunTest(self, run_params):
"""Whether to run the test."""
return (not trt_test.IsQuantizationMode(run_params.precision_mode) and
not run_params.dynamic_engine)
class TransposeTest(trt_test.TfTrtIntegrationTestBase):
<|fim_middle|>
if __name__ == "__main__":
test.main()
<｜fim▁end｜> | def GraphFn(self, inp):
# Add a block with compatible transposes.
compatible_transpose = array_ops.transpose(
inp, [0, 3, 1, 2], name="transpose-1")
compatible_transpose = array_ops.transpose(
compatible_transpose, [0, 2, 3, 1], name="transposeback")
# Add an incompatible op so the first block will not be in the same
# subgraph where the following block belongs.
bridge = self.trt_incompatible_op(compatible_transpose)
# Add a block with incompatible transposes.
#
# Note: by default Grappler will run the TRT optimizer twice. At the
# first time it will group the two transpose ops below to same segment
# then fail the conversion due to the expected batch dimension problem.
# At the second time, since the input of bridge op is TRTEngineOp_0, it
# will fail to do shape inference which then cause conversion to fail.
# TODO(laigd): support shape inference, make TRT optimizer run only
# once, and fix this.
incompatible_transpose = array_ops.transpose(
bridge, [2, 1, 0, 3], name="transpose-2")
excluded_transpose = array_ops.transpose(
incompatible_transpose, [0, 2, 3, 1], name="transpose-3")
return array_ops.identity(excluded_transpose, name="output_0")
def GetParams(self):
return self.BuildParams(self.GraphFn, dtypes.float32, [[100, 24, 24, 2]],
[[24, 100, 2, 24]])
def ExpectedEnginesToBuild(self, run_params):
"""Return the expected engines to build."""
return {
"TRTEngineOp_0": [
"transpose-1", "transpose-1/perm", "transposeback",
"transposeback/perm"
]
}
def ShouldRunTest(self, run_params):
"""Whether to run the test."""
return (not trt_test.IsQuantizationMode(run_params.precision_mode) and
not run_params.dynamic_engine) |
<|file_name|>reshape_transpose_test.py<|end_file_name|><｜fim▁begin｜># Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Basic tests for TF-TensorRT integration."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.compiler.tensorrt.test import tf_trt_integration_test_base as trt_test
from tensorflow.python.framework import dtypes
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import math_ops
from tensorflow.python.platform import test
class ReshapeTest(trt_test.TfTrtIntegrationTestBase):
def GraphFn(self, inp):
outputs = []
# Here we test two types of reshapes, one changes the batch dimension and
# the other does not. Note that we're not able to test reshaping to
# scalar, since TRT requires input tensor to be of rank at least 2, so a
# reshape with scalar input will be filtered out of the segment before
# conversion.
#
# These reshapes happen at batch dimension, thus conversion should fail.
for shape in [[2, 50, 24, 24, 2], [-1, 50, 24, 24, 2], [2, 50, -1, 24, 2]]:
incompatible_reshape = array_ops.reshape(inp, shape)
reshape_back = array_ops.reshape(incompatible_reshape, [-1, 24, 24, 2])
outputs.append(self.trt_incompatible_op(reshape_back))
# Add another block with many reshapes that don't change the batch
# dimension.
compatible_reshape = array_ops.reshape(
inp, [-1, 24 * 24, 2], name="reshape-0")
compatible_reshape = array_ops.reshape(
compatible_reshape, [100, 24, -1], name="reshape-1")
compatible_reshape = array_ops.reshape(
compatible_reshape, [100, 24 * 2, 24], name="reshape-2")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 24, 24 * 2], name="reshape-3")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 6, 4, 24, 2], name="reshape-4")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 6, 4, 6, 4, 2, 1], name="reshape-5")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 24, 24, 2], name="reshape-6")
outputs.append(self.trt_incompatible_op(compatible_reshape))
return math_ops.add_n(outputs, name="output_0")
def GetParams(self):
return self.BuildParams(self.GraphFn, dtypes.float32, [[100, 24, 24, 2]],
[[100, 24, 24, 2]])
def ExpectedEnginesToBuild(self, run_params):
"""Return the expected engines to build."""
return {
"TRTEngineOp_0": ["reshape-%d" % i for i in range(7)] +
["reshape-%d/shape" % i for i in range(7)]
}
def ShouldRunTest(self, run_params):
"""Whether to run the test."""
return (not trt_test.IsQuantizationMode(run_params.precision_mode) and
not run_params.dynamic_engine)
class TransposeTest(trt_test.TfTrtIntegrationTestBase):
def GraphFn(self, inp):
# Add a block with compatible transposes.
<|fim_middle|>
def GetParams(self):
return self.BuildParams(self.GraphFn, dtypes.float32, [[100, 24, 24, 2]],
[[24, 100, 2, 24]])
def ExpectedEnginesToBuild(self, run_params):
"""Return the expected engines to build."""
return {
"TRTEngineOp_0": [
"transpose-1", "transpose-1/perm", "transposeback",
"transposeback/perm"
]
}
def ShouldRunTest(self, run_params):
"""Whether to run the test."""
return (not trt_test.IsQuantizationMode(run_params.precision_mode) and
not run_params.dynamic_engine)
if __name__ == "__main__":
test.main()
<｜fim▁end｜> | compatible_transpose = array_ops.transpose(
inp, [0, 3, 1, 2], name="transpose-1")
compatible_transpose = array_ops.transpose(
compatible_transpose, [0, 2, 3, 1], name="transposeback")
# Add an incompatible op so the first block will not be in the same
# subgraph where the following block belongs.
bridge = self.trt_incompatible_op(compatible_transpose)
# Add a block with incompatible transposes.
#
# Note: by default Grappler will run the TRT optimizer twice. At the
# first time it will group the two transpose ops below to same segment
# then fail the conversion due to the expected batch dimension problem.
# At the second time, since the input of bridge op is TRTEngineOp_0, it
# will fail to do shape inference which then cause conversion to fail.
# TODO(laigd): support shape inference, make TRT optimizer run only
# once, and fix this.
incompatible_transpose = array_ops.transpose(
bridge, [2, 1, 0, 3], name="transpose-2")
excluded_transpose = array_ops.transpose(
incompatible_transpose, [0, 2, 3, 1], name="transpose-3")
return array_ops.identity(excluded_transpose, name="output_0") |
<|file_name|>reshape_transpose_test.py<|end_file_name|><｜fim▁begin｜># Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Basic tests for TF-TensorRT integration."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.compiler.tensorrt.test import tf_trt_integration_test_base as trt_test
from tensorflow.python.framework import dtypes
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import math_ops
from tensorflow.python.platform import test
class ReshapeTest(trt_test.TfTrtIntegrationTestBase):
def GraphFn(self, inp):
outputs = []
# Here we test two types of reshapes, one changes the batch dimension and
# the other does not. Note that we're not able to test reshaping to
# scalar, since TRT requires input tensor to be of rank at least 2, so a
# reshape with scalar input will be filtered out of the segment before
# conversion.
#
# These reshapes happen at batch dimension, thus conversion should fail.
for shape in [[2, 50, 24, 24, 2], [-1, 50, 24, 24, 2], [2, 50, -1, 24, 2]]:
incompatible_reshape = array_ops.reshape(inp, shape)
reshape_back = array_ops.reshape(incompatible_reshape, [-1, 24, 24, 2])
outputs.append(self.trt_incompatible_op(reshape_back))
# Add another block with many reshapes that don't change the batch
# dimension.
compatible_reshape = array_ops.reshape(
inp, [-1, 24 * 24, 2], name="reshape-0")
compatible_reshape = array_ops.reshape(
compatible_reshape, [100, 24, -1], name="reshape-1")
compatible_reshape = array_ops.reshape(
compatible_reshape, [100, 24 * 2, 24], name="reshape-2")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 24, 24 * 2], name="reshape-3")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 6, 4, 24, 2], name="reshape-4")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 6, 4, 6, 4, 2, 1], name="reshape-5")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 24, 24, 2], name="reshape-6")
outputs.append(self.trt_incompatible_op(compatible_reshape))
return math_ops.add_n(outputs, name="output_0")
def GetParams(self):
return self.BuildParams(self.GraphFn, dtypes.float32, [[100, 24, 24, 2]],
[[100, 24, 24, 2]])
def ExpectedEnginesToBuild(self, run_params):
"""Return the expected engines to build."""
return {
"TRTEngineOp_0": ["reshape-%d" % i for i in range(7)] +
["reshape-%d/shape" % i for i in range(7)]
}
def ShouldRunTest(self, run_params):
"""Whether to run the test."""
return (not trt_test.IsQuantizationMode(run_params.precision_mode) and
not run_params.dynamic_engine)
class TransposeTest(trt_test.TfTrtIntegrationTestBase):
def GraphFn(self, inp):
# Add a block with compatible transposes.
compatible_transpose = array_ops.transpose(
inp, [0, 3, 1, 2], name="transpose-1")
compatible_transpose = array_ops.transpose(
compatible_transpose, [0, 2, 3, 1], name="transposeback")
# Add an incompatible op so the first block will not be in the same
# subgraph where the following block belongs.
bridge = self.trt_incompatible_op(compatible_transpose)
# Add a block with incompatible transposes.
#
# Note: by default Grappler will run the TRT optimizer twice. At the
# first time it will group the two transpose ops below to same segment
# then fail the conversion due to the expected batch dimension problem.
# At the second time, since the input of bridge op is TRTEngineOp_0, it
# will fail to do shape inference which then cause conversion to fail.
# TODO(laigd): support shape inference, make TRT optimizer run only
# once, and fix this.
incompatible_transpose = array_ops.transpose(
bridge, [2, 1, 0, 3], name="transpose-2")
excluded_transpose = array_ops.transpose(
incompatible_transpose, [0, 2, 3, 1], name="transpose-3")
return array_ops.identity(excluded_transpose, name="output_0")
def GetParams(self):
<|fim_middle|>
def ExpectedEnginesToBuild(self, run_params):
"""Return the expected engines to build."""
return {
"TRTEngineOp_0": [
"transpose-1", "transpose-1/perm", "transposeback",
"transposeback/perm"
]
}
def ShouldRunTest(self, run_params):
"""Whether to run the test."""
return (not trt_test.IsQuantizationMode(run_params.precision_mode) and
not run_params.dynamic_engine)
if __name__ == "__main__":
test.main()
<｜fim▁end｜> | return self.BuildParams(self.GraphFn, dtypes.float32, [[100, 24, 24, 2]],
[[24, 100, 2, 24]]) |
<|file_name|>reshape_transpose_test.py<|end_file_name|><｜fim▁begin｜># Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Basic tests for TF-TensorRT integration."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.compiler.tensorrt.test import tf_trt_integration_test_base as trt_test
from tensorflow.python.framework import dtypes
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import math_ops
from tensorflow.python.platform import test
class ReshapeTest(trt_test.TfTrtIntegrationTestBase):
def GraphFn(self, inp):
outputs = []
# Here we test two types of reshapes, one changes the batch dimension and
# the other does not. Note that we're not able to test reshaping to
# scalar, since TRT requires input tensor to be of rank at least 2, so a
# reshape with scalar input will be filtered out of the segment before
# conversion.
#
# These reshapes happen at batch dimension, thus conversion should fail.
for shape in [[2, 50, 24, 24, 2], [-1, 50, 24, 24, 2], [2, 50, -1, 24, 2]]:
incompatible_reshape = array_ops.reshape(inp, shape)
reshape_back = array_ops.reshape(incompatible_reshape, [-1, 24, 24, 2])
outputs.append(self.trt_incompatible_op(reshape_back))
# Add another block with many reshapes that don't change the batch
# dimension.
compatible_reshape = array_ops.reshape(
inp, [-1, 24 * 24, 2], name="reshape-0")
compatible_reshape = array_ops.reshape(
compatible_reshape, [100, 24, -1], name="reshape-1")
compatible_reshape = array_ops.reshape(
compatible_reshape, [100, 24 * 2, 24], name="reshape-2")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 24, 24 * 2], name="reshape-3")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 6, 4, 24, 2], name="reshape-4")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 6, 4, 6, 4, 2, 1], name="reshape-5")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 24, 24, 2], name="reshape-6")
outputs.append(self.trt_incompatible_op(compatible_reshape))
return math_ops.add_n(outputs, name="output_0")
def GetParams(self):
return self.BuildParams(self.GraphFn, dtypes.float32, [[100, 24, 24, 2]],
[[100, 24, 24, 2]])
def ExpectedEnginesToBuild(self, run_params):
"""Return the expected engines to build."""
return {
"TRTEngineOp_0": ["reshape-%d" % i for i in range(7)] +
["reshape-%d/shape" % i for i in range(7)]
}
def ShouldRunTest(self, run_params):
"""Whether to run the test."""
return (not trt_test.IsQuantizationMode(run_params.precision_mode) and
not run_params.dynamic_engine)
class TransposeTest(trt_test.TfTrtIntegrationTestBase):
def GraphFn(self, inp):
# Add a block with compatible transposes.
compatible_transpose = array_ops.transpose(
inp, [0, 3, 1, 2], name="transpose-1")
compatible_transpose = array_ops.transpose(
compatible_transpose, [0, 2, 3, 1], name="transposeback")
# Add an incompatible op so the first block will not be in the same
# subgraph where the following block belongs.
bridge = self.trt_incompatible_op(compatible_transpose)
# Add a block with incompatible transposes.
#
# Note: by default Grappler will run the TRT optimizer twice. At the
# first time it will group the two transpose ops below to same segment
# then fail the conversion due to the expected batch dimension problem.
# At the second time, since the input of bridge op is TRTEngineOp_0, it
# will fail to do shape inference which then cause conversion to fail.
# TODO(laigd): support shape inference, make TRT optimizer run only
# once, and fix this.
incompatible_transpose = array_ops.transpose(
bridge, [2, 1, 0, 3], name="transpose-2")
excluded_transpose = array_ops.transpose(
incompatible_transpose, [0, 2, 3, 1], name="transpose-3")
return array_ops.identity(excluded_transpose, name="output_0")
def GetParams(self):
return self.BuildParams(self.GraphFn, dtypes.float32, [[100, 24, 24, 2]],
[[24, 100, 2, 24]])
def ExpectedEnginesToBuild(self, run_params):
<|fim_middle|>
def ShouldRunTest(self, run_params):
"""Whether to run the test."""
return (not trt_test.IsQuantizationMode(run_params.precision_mode) and
not run_params.dynamic_engine)
if __name__ == "__main__":
test.main()
<｜fim▁end｜> | """Return the expected engines to build."""
return {
"TRTEngineOp_0": [
"transpose-1", "transpose-1/perm", "transposeback",
"transposeback/perm"
]
} |
<|file_name|>reshape_transpose_test.py<|end_file_name|><｜fim▁begin｜># Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Basic tests for TF-TensorRT integration."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.compiler.tensorrt.test import tf_trt_integration_test_base as trt_test
from tensorflow.python.framework import dtypes
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import math_ops
from tensorflow.python.platform import test
class ReshapeTest(trt_test.TfTrtIntegrationTestBase):
def GraphFn(self, inp):
outputs = []
# Here we test two types of reshapes, one changes the batch dimension and
# the other does not. Note that we're not able to test reshaping to
# scalar, since TRT requires input tensor to be of rank at least 2, so a
# reshape with scalar input will be filtered out of the segment before
# conversion.
#
# These reshapes happen at batch dimension, thus conversion should fail.
for shape in [[2, 50, 24, 24, 2], [-1, 50, 24, 24, 2], [2, 50, -1, 24, 2]]:
incompatible_reshape = array_ops.reshape(inp, shape)
reshape_back = array_ops.reshape(incompatible_reshape, [-1, 24, 24, 2])
outputs.append(self.trt_incompatible_op(reshape_back))
# Add another block with many reshapes that don't change the batch
# dimension.
compatible_reshape = array_ops.reshape(
inp, [-1, 24 * 24, 2], name="reshape-0")
compatible_reshape = array_ops.reshape(
compatible_reshape, [100, 24, -1], name="reshape-1")
compatible_reshape = array_ops.reshape(
compatible_reshape, [100, 24 * 2, 24], name="reshape-2")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 24, 24 * 2], name="reshape-3")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 6, 4, 24, 2], name="reshape-4")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 6, 4, 6, 4, 2, 1], name="reshape-5")
compatible_reshape = array_ops.reshape(
compatible_reshape, [-1, 24, 24, 2], name="reshape-6")
outputs.append(self.trt_incompatible_op(compatible_reshape))
return math_ops.add_n(outputs, name="output_0")
def GetParams(self):
return self.BuildParams(self.GraphFn, dtypes.float32, [[100, 24, 24, 2]],
[[100, 24, 24, 2]])
def ExpectedEnginesToBuild(self, run_params):
"""Return the expected engines to build."""
return {
"TRTEngineOp_0": ["reshape-%d" % i for i in range(7)] +
["reshape-%d/shape" % i for i in range(7)]
}
def ShouldRunTest(self, run_params):
"""Whether to run the test."""
return (not trt_test.IsQuantizationMode(run_params.precision_mode) and
not run_params.dynamic_engine)
class TransposeTest(trt_test.TfTrtIntegrationTestBase):
def GraphFn(self, inp):
# Add a block with compatible transposes.
compatible_transpose = array_ops.transpose(
inp, [0, 3, 1, 2], name="transpose-1")
compatible_transpose = array_ops.transpose(
compatible_transpose, [0, 2, 3, 1], name="transposeback")
# Add an incompatible op so the first block will not be in the same
# subgraph where the following block belongs.
bridge = self.trt_incompatible_op(compatible_transpose)
# Add a block with incompatible transposes.
#
# Note: by default Grappler will run the TRT optimizer twice. At the
# first time it will group the two transpose ops below to same segment
# then fail the conversion due to the expected batch dimension problem.
# At the second time, since the input of bridge op is TRTEngineOp_0, it
# will fail to do shape inference which then cause conversion to fail.
# TODO(laigd): support shape inference, make TRT optimizer run only
# once, and fix this.
incompatible_transpose = array_ops.transpose(
bridge, [2, 1, 0, 3], name="transpose-2")
excluded_transpose = array_ops.transpose(
incompatible_transpose, [0, 2, 3, 1], name="transpose-3")
return array_ops.identity(excluded_transpose, name="output_0")
def GetParams(self):
return self.BuildParams(self.GraphFn, dtypes.float32, [[100, 24, 24, 2]],
[[24, 100, 2, 24]])
def ExpectedEnginesToBuild(self, run_params):
"""Return the expected engines to build."""
return {
"TRTEngineOp_0": [
"transpose-1", "transpose-1/perm", "transposeback",
"transposeback/perm"
]
}
def ShouldRunTest(self, run_params):
<|fim_middle|>
if __name__ == "__main__":
test.main()
<｜fim▁end｜> | """Whether to run the test."""
return (not trt_test.IsQuantizationMode(run_params.precision_mode) and
not run_params.dynamic_engine) |
<|file_name|>session.py<|end_file_name|><｜fim▁begin｜>__author__ = 'dako'
class SessionHelper:
<｜fim▁hole｜>
def login(self, username, password):
wd = self.app.wd
self.app.open_home_page()
wd.find_element_by_name("user").click()
wd.find_element_by_name("user").clear()
wd.find_element_by_name("user").send_keys(username)
wd.find_element_by_name("pass").click()
wd.find_element_by_name("pass").clear()
wd.find_element_by_name("pass").send_keys(password)
wd.find_element_by_css_selector('input[type="submit"]').click()
def logout(self):
wd = self.app.wd
wd.find_element_by_link_text("Logout").click()
def is_logged_in(self):
wd = self.app.wd
return len(wd.find_elements_by_link_text("Logout")) > 0
def is_logged_in_as(self, username):
wd = self.app.wd
return self.get_logged_user() == username
def get_logged_user(self):
wd = self.app.wd
return wd.find_element_by_xpath("//div/div[1]/form/b").text[1:-1]
def ensure_logout(self):
wd = self.app.wd
if self.is_logged_in():
self.logout()
def ensure_login(self, username, password):
wd = self.app.wd
if self.is_logged_in():
if self.is_logged_in_as(username):
return
else:
self.logout()
self.login(username, password)<｜fim▁end｜> | def __init__(self, app):
self.app = app |
<|file_name|>session.py<|end_file_name|><｜fim▁begin｜>__author__ = 'dako'
class SessionHelper:
<|fim_middle|>
<｜fim▁end｜> | def __init__(self, app):
self.app = app
def login(self, username, password):
wd = self.app.wd
self.app.open_home_page()
wd.find_element_by_name("user").click()
wd.find_element_by_name("user").clear()
wd.find_element_by_name("user").send_keys(username)
wd.find_element_by_name("pass").click()
wd.find_element_by_name("pass").clear()
wd.find_element_by_name("pass").send_keys(password)
wd.find_element_by_css_selector('input[type="submit"]').click()
def logout(self):
wd = self.app.wd
wd.find_element_by_link_text("Logout").click()
def is_logged_in(self):
wd = self.app.wd
return len(wd.find_elements_by_link_text("Logout")) > 0
def is_logged_in_as(self, username):
wd = self.app.wd
return self.get_logged_user() == username
def get_logged_user(self):
wd = self.app.wd
return wd.find_element_by_xpath("//div/div[1]/form/b").text[1:-1]
def ensure_logout(self):
wd = self.app.wd
if self.is_logged_in():
self.logout()
def ensure_login(self, username, password):
wd = self.app.wd
if self.is_logged_in():
if self.is_logged_in_as(username):
return
else:
self.logout()
self.login(username, password) |
<|file_name|>session.py<|end_file_name|><｜fim▁begin｜>__author__ = 'dako'
class SessionHelper:
def __init__(self, app):
<|fim_middle|>
def login(self, username, password):
wd = self.app.wd
self.app.open_home_page()
wd.find_element_by_name("user").click()
wd.find_element_by_name("user").clear()
wd.find_element_by_name("user").send_keys(username)
wd.find_element_by_name("pass").click()
wd.find_element_by_name("pass").clear()
wd.find_element_by_name("pass").send_keys(password)
wd.find_element_by_css_selector('input[type="submit"]').click()
def logout(self):
wd = self.app.wd
wd.find_element_by_link_text("Logout").click()
def is_logged_in(self):
wd = self.app.wd
return len(wd.find_elements_by_link_text("Logout")) > 0
def is_logged_in_as(self, username):
wd = self.app.wd
return self.get_logged_user() == username
def get_logged_user(self):
wd = self.app.wd
return wd.find_element_by_xpath("//div/div[1]/form/b").text[1:-1]
def ensure_logout(self):
wd = self.app.wd
if self.is_logged_in():
self.logout()
def ensure_login(self, username, password):
wd = self.app.wd
if self.is_logged_in():
if self.is_logged_in_as(username):
return
else:
self.logout()
self.login(username, password)<｜fim▁end｜> | self.app = app |
<|file_name|>session.py<|end_file_name|><｜fim▁begin｜>__author__ = 'dako'
class SessionHelper:
def __init__(self, app):
self.app = app
def login(self, username, password):
<|fim_middle|>
def logout(self):
wd = self.app.wd
wd.find_element_by_link_text("Logout").click()
def is_logged_in(self):
wd = self.app.wd
return len(wd.find_elements_by_link_text("Logout")) > 0
def is_logged_in_as(self, username):
wd = self.app.wd
return self.get_logged_user() == username
def get_logged_user(self):
wd = self.app.wd
return wd.find_element_by_xpath("//div/div[1]/form/b").text[1:-1]
def ensure_logout(self):
wd = self.app.wd
if self.is_logged_in():
self.logout()
def ensure_login(self, username, password):
wd = self.app.wd
if self.is_logged_in():
if self.is_logged_in_as(username):
return
else:
self.logout()
self.login(username, password)<｜fim▁end｜> | wd = self.app.wd
self.app.open_home_page()
wd.find_element_by_name("user").click()
wd.find_element_by_name("user").clear()
wd.find_element_by_name("user").send_keys(username)
wd.find_element_by_name("pass").click()
wd.find_element_by_name("pass").clear()
wd.find_element_by_name("pass").send_keys(password)
wd.find_element_by_css_selector('input[type="submit"]').click() |
<|file_name|>session.py<|end_file_name|><｜fim▁begin｜>__author__ = 'dako'
class SessionHelper:
def __init__(self, app):
self.app = app
def login(self, username, password):
wd = self.app.wd
self.app.open_home_page()
wd.find_element_by_name("user").click()
wd.find_element_by_name("user").clear()
wd.find_element_by_name("user").send_keys(username)
wd.find_element_by_name("pass").click()
wd.find_element_by_name("pass").clear()
wd.find_element_by_name("pass").send_keys(password)
wd.find_element_by_css_selector('input[type="submit"]').click()
def logout(self):
<|fim_middle|>
def is_logged_in(self):
wd = self.app.wd
return len(wd.find_elements_by_link_text("Logout")) > 0
def is_logged_in_as(self, username):
wd = self.app.wd
return self.get_logged_user() == username
def get_logged_user(self):
wd = self.app.wd
return wd.find_element_by_xpath("//div/div[1]/form/b").text[1:-1]
def ensure_logout(self):
wd = self.app.wd
if self.is_logged_in():
self.logout()
def ensure_login(self, username, password):
wd = self.app.wd
if self.is_logged_in():
if self.is_logged_in_as(username):
return
else:
self.logout()
self.login(username, password)<｜fim▁end｜> | wd = self.app.wd
wd.find_element_by_link_text("Logout").click() |
<|file_name|>session.py<|end_file_name|><｜fim▁begin｜>__author__ = 'dako'
class SessionHelper:
def __init__(self, app):
self.app = app
def login(self, username, password):
wd = self.app.wd
self.app.open_home_page()
wd.find_element_by_name("user").click()
wd.find_element_by_name("user").clear()
wd.find_element_by_name("user").send_keys(username)
wd.find_element_by_name("pass").click()
wd.find_element_by_name("pass").clear()
wd.find_element_by_name("pass").send_keys(password)
wd.find_element_by_css_selector('input[type="submit"]').click()
def logout(self):
wd = self.app.wd
wd.find_element_by_link_text("Logout").click()
def is_logged_in(self):
<|fim_middle|>
def is_logged_in_as(self, username):
wd = self.app.wd
return self.get_logged_user() == username
def get_logged_user(self):
wd = self.app.wd
return wd.find_element_by_xpath("//div/div[1]/form/b").text[1:-1]
def ensure_logout(self):
wd = self.app.wd
if self.is_logged_in():
self.logout()
def ensure_login(self, username, password):
wd = self.app.wd
if self.is_logged_in():
if self.is_logged_in_as(username):
return
else:
self.logout()
self.login(username, password)<｜fim▁end｜> | wd = self.app.wd
return len(wd.find_elements_by_link_text("Logout")) > 0 |
<|file_name|>session.py<|end_file_name|><｜fim▁begin｜>__author__ = 'dako'
class SessionHelper:
def __init__(self, app):
self.app = app
def login(self, username, password):
wd = self.app.wd
self.app.open_home_page()
wd.find_element_by_name("user").click()
wd.find_element_by_name("user").clear()
wd.find_element_by_name("user").send_keys(username)
wd.find_element_by_name("pass").click()
wd.find_element_by_name("pass").clear()
wd.find_element_by_name("pass").send_keys(password)
wd.find_element_by_css_selector('input[type="submit"]').click()
def logout(self):
wd = self.app.wd
wd.find_element_by_link_text("Logout").click()
def is_logged_in(self):
wd = self.app.wd
return len(wd.find_elements_by_link_text("Logout")) > 0
def is_logged_in_as(self, username):
<|fim_middle|>
def get_logged_user(self):
wd = self.app.wd
return wd.find_element_by_xpath("//div/div[1]/form/b").text[1:-1]
def ensure_logout(self):
wd = self.app.wd
if self.is_logged_in():
self.logout()
def ensure_login(self, username, password):
wd = self.app.wd
if self.is_logged_in():
if self.is_logged_in_as(username):
return
else:
self.logout()
self.login(username, password)<｜fim▁end｜> | wd = self.app.wd
return self.get_logged_user() == username |
<|file_name|>session.py<|end_file_name|><｜fim▁begin｜>__author__ = 'dako'
class SessionHelper:
def __init__(self, app):
self.app = app
def login(self, username, password):
wd = self.app.wd
self.app.open_home_page()
wd.find_element_by_name("user").click()
wd.find_element_by_name("user").clear()
wd.find_element_by_name("user").send_keys(username)
wd.find_element_by_name("pass").click()
wd.find_element_by_name("pass").clear()
wd.find_element_by_name("pass").send_keys(password)
wd.find_element_by_css_selector('input[type="submit"]').click()
def logout(self):
wd = self.app.wd
wd.find_element_by_link_text("Logout").click()
def is_logged_in(self):
wd = self.app.wd
return len(wd.find_elements_by_link_text("Logout")) > 0
def is_logged_in_as(self, username):
wd = self.app.wd
return self.get_logged_user() == username
def get_logged_user(self):
<|fim_middle|>
def ensure_logout(self):
wd = self.app.wd
if self.is_logged_in():
self.logout()
def ensure_login(self, username, password):
wd = self.app.wd
if self.is_logged_in():
if self.is_logged_in_as(username):
return
else:
self.logout()
self.login(username, password)<｜fim▁end｜> | wd = self.app.wd
return wd.find_element_by_xpath("//div/div[1]/form/b").text[1:-1] |
<|file_name|>session.py<|end_file_name|><｜fim▁begin｜>__author__ = 'dako'
class SessionHelper:
def __init__(self, app):
self.app = app
def login(self, username, password):
wd = self.app.wd
self.app.open_home_page()
wd.find_element_by_name("user").click()
wd.find_element_by_name("user").clear()
wd.find_element_by_name("user").send_keys(username)
wd.find_element_by_name("pass").click()
wd.find_element_by_name("pass").clear()
wd.find_element_by_name("pass").send_keys(password)
wd.find_element_by_css_selector('input[type="submit"]').click()
def logout(self):
wd = self.app.wd
wd.find_element_by_link_text("Logout").click()
def is_logged_in(self):
wd = self.app.wd
return len(wd.find_elements_by_link_text("Logout")) > 0
def is_logged_in_as(self, username):
wd = self.app.wd
return self.get_logged_user() == username
def get_logged_user(self):
wd = self.app.wd
return wd.find_element_by_xpath("//div/div[1]/form/b").text[1:-1]
def ensure_logout(self):
<|fim_middle|>
def ensure_login(self, username, password):
wd = self.app.wd
if self.is_logged_in():
if self.is_logged_in_as(username):
return
else:
self.logout()
self.login(username, password)<｜fim▁end｜> | wd = self.app.wd
if self.is_logged_in():
self.logout() |
<|file_name|>session.py<|end_file_name|><｜fim▁begin｜>__author__ = 'dako'
class SessionHelper:
def __init__(self, app):
self.app = app
def login(self, username, password):
wd = self.app.wd
self.app.open_home_page()
wd.find_element_by_name("user").click()
wd.find_element_by_name("user").clear()
wd.find_element_by_name("user").send_keys(username)
wd.find_element_by_name("pass").click()
wd.find_element_by_name("pass").clear()
wd.find_element_by_name("pass").send_keys(password)
wd.find_element_by_css_selector('input[type="submit"]').click()
def logout(self):
wd = self.app.wd
wd.find_element_by_link_text("Logout").click()
def is_logged_in(self):
wd = self.app.wd
return len(wd.find_elements_by_link_text("Logout")) > 0
def is_logged_in_as(self, username):
wd = self.app.wd
return self.get_logged_user() == username
def get_logged_user(self):
wd = self.app.wd
return wd.find_element_by_xpath("//div/div[1]/form/b").text[1:-1]
def ensure_logout(self):
wd = self.app.wd
if self.is_logged_in():
self.logout()
def ensure_login(self, username, password):
<|fim_middle|>
<｜fim▁end｜> | wd = self.app.wd
if self.is_logged_in():
if self.is_logged_in_as(username):
return
else:
self.logout()
self.login(username, password) |
<|file_name|>session.py<|end_file_name|><｜fim▁begin｜>__author__ = 'dako'
class SessionHelper:
def __init__(self, app):
self.app = app
def login(self, username, password):
wd = self.app.wd
self.app.open_home_page()
wd.find_element_by_name("user").click()
wd.find_element_by_name("user").clear()
wd.find_element_by_name("user").send_keys(username)
wd.find_element_by_name("pass").click()
wd.find_element_by_name("pass").clear()
wd.find_element_by_name("pass").send_keys(password)
wd.find_element_by_css_selector('input[type="submit"]').click()
def logout(self):
wd = self.app.wd
wd.find_element_by_link_text("Logout").click()
def is_logged_in(self):
wd = self.app.wd
return len(wd.find_elements_by_link_text("Logout")) > 0
def is_logged_in_as(self, username):
wd = self.app.wd
return self.get_logged_user() == username
def get_logged_user(self):
wd = self.app.wd
return wd.find_element_by_xpath("//div/div[1]/form/b").text[1:-1]
def ensure_logout(self):
wd = self.app.wd
if self.is_logged_in():
<|fim_middle|>
def ensure_login(self, username, password):
wd = self.app.wd
if self.is_logged_in():
if self.is_logged_in_as(username):
return
else:
self.logout()
self.login(username, password)<｜fim▁end｜> | self.logout() |
<|file_name|>session.py<|end_file_name|><｜fim▁begin｜>__author__ = 'dako'
class SessionHelper:
def __init__(self, app):
self.app = app
def login(self, username, password):
wd = self.app.wd
self.app.open_home_page()
wd.find_element_by_name("user").click()
wd.find_element_by_name("user").clear()
wd.find_element_by_name("user").send_keys(username)
wd.find_element_by_name("pass").click()
wd.find_element_by_name("pass").clear()
wd.find_element_by_name("pass").send_keys(password)
wd.find_element_by_css_selector('input[type="submit"]').click()
def logout(self):
wd = self.app.wd
wd.find_element_by_link_text("Logout").click()
def is_logged_in(self):
wd = self.app.wd
return len(wd.find_elements_by_link_text("Logout")) > 0
def is_logged_in_as(self, username):
wd = self.app.wd
return self.get_logged_user() == username
def get_logged_user(self):
wd = self.app.wd
return wd.find_element_by_xpath("//div/div[1]/form/b").text[1:-1]
def ensure_logout(self):
wd = self.app.wd
if self.is_logged_in():
self.logout()
def ensure_login(self, username, password):
wd = self.app.wd
if self.is_logged_in():
<|fim_middle|>
self.login(username, password)<｜fim▁end｜> | if self.is_logged_in_as(username):
return
else:
self.logout() |
<|file_name|>session.py<|end_file_name|><｜fim▁begin｜>__author__ = 'dako'
class SessionHelper:
def __init__(self, app):
self.app = app
def login(self, username, password):
wd = self.app.wd
self.app.open_home_page()
wd.find_element_by_name("user").click()
wd.find_element_by_name("user").clear()
wd.find_element_by_name("user").send_keys(username)
wd.find_element_by_name("pass").click()
wd.find_element_by_name("pass").clear()
wd.find_element_by_name("pass").send_keys(password)
wd.find_element_by_css_selector('input[type="submit"]').click()
def logout(self):
wd = self.app.wd
wd.find_element_by_link_text("Logout").click()
def is_logged_in(self):
wd = self.app.wd
return len(wd.find_elements_by_link_text("Logout")) > 0
def is_logged_in_as(self, username):
wd = self.app.wd
return self.get_logged_user() == username
def get_logged_user(self):
wd = self.app.wd
return wd.find_element_by_xpath("//div/div[1]/form/b").text[1:-1]
def ensure_logout(self):
wd = self.app.wd
if self.is_logged_in():
self.logout()
def ensure_login(self, username, password):
wd = self.app.wd
if self.is_logged_in():
if self.is_logged_in_as(username):
<|fim_middle|>
else:
self.logout()
self.login(username, password)<｜fim▁end｜> | return |
<|file_name|>session.py<|end_file_name|><｜fim▁begin｜>__author__ = 'dako'
class SessionHelper:
def __init__(self, app):
self.app = app
def login(self, username, password):
wd = self.app.wd
self.app.open_home_page()
wd.find_element_by_name("user").click()
wd.find_element_by_name("user").clear()
wd.find_element_by_name("user").send_keys(username)
wd.find_element_by_name("pass").click()
wd.find_element_by_name("pass").clear()
wd.find_element_by_name("pass").send_keys(password)
wd.find_element_by_css_selector('input[type="submit"]').click()
def logout(self):
wd = self.app.wd
wd.find_element_by_link_text("Logout").click()
def is_logged_in(self):
wd = self.app.wd
return len(wd.find_elements_by_link_text("Logout")) > 0
def is_logged_in_as(self, username):
wd = self.app.wd
return self.get_logged_user() == username
def get_logged_user(self):
wd = self.app.wd
return wd.find_element_by_xpath("//div/div[1]/form/b").text[1:-1]
def ensure_logout(self):
wd = self.app.wd
if self.is_logged_in():
self.logout()
def ensure_login(self, username, password):
wd = self.app.wd
if self.is_logged_in():
if self.is_logged_in_as(username):
return
else:
<|fim_middle|>
self.login(username, password)<｜fim▁end｜> | self.logout() |
<|file_name|>session.py<|end_file_name|><｜fim▁begin｜>__author__ = 'dako'
class SessionHelper:
def <|fim_middle|>(self, app):
self.app = app
def login(self, username, password):
wd = self.app.wd
self.app.open_home_page()
wd.find_element_by_name("user").click()
wd.find_element_by_name("user").clear()
wd.find_element_by_name("user").send_keys(username)
wd.find_element_by_name("pass").click()
wd.find_element_by_name("pass").clear()
wd.find_element_by_name("pass").send_keys(password)
wd.find_element_by_css_selector('input[type="submit"]').click()
def logout(self):
wd = self.app.wd
wd.find_element_by_link_text("Logout").click()
def is_logged_in(self):
wd = self.app.wd
return len(wd.find_elements_by_link_text("Logout")) > 0
def is_logged_in_as(self, username):
wd = self.app.wd
return self.get_logged_user() == username
def get_logged_user(self):
wd = self.app.wd
return wd.find_element_by_xpath("//div/div[1]/form/b").text[1:-1]
def ensure_logout(self):
wd = self.app.wd
if self.is_logged_in():
self.logout()
def ensure_login(self, username, password):
wd = self.app.wd
if self.is_logged_in():
if self.is_logged_in_as(username):
return
else:
self.logout()
self.login(username, password)<｜fim▁end｜> | __init__ |
<|file_name|>session.py<|end_file_name|><｜fim▁begin｜>__author__ = 'dako'
class SessionHelper:
def __init__(self, app):
self.app = app
def <|fim_middle|>(self, username, password):
wd = self.app.wd
self.app.open_home_page()
wd.find_element_by_name("user").click()
wd.find_element_by_name("user").clear()
wd.find_element_by_name("user").send_keys(username)
wd.find_element_by_name("pass").click()
wd.find_element_by_name("pass").clear()
wd.find_element_by_name("pass").send_keys(password)
wd.find_element_by_css_selector('input[type="submit"]').click()
def logout(self):
wd = self.app.wd
wd.find_element_by_link_text("Logout").click()
def is_logged_in(self):
wd = self.app.wd
return len(wd.find_elements_by_link_text("Logout")) > 0
def is_logged_in_as(self, username):
wd = self.app.wd
return self.get_logged_user() == username
def get_logged_user(self):
wd = self.app.wd
return wd.find_element_by_xpath("//div/div[1]/form/b").text[1:-1]
def ensure_logout(self):
wd = self.app.wd
if self.is_logged_in():
self.logout()
def ensure_login(self, username, password):
wd = self.app.wd
if self.is_logged_in():
if self.is_logged_in_as(username):
return
else:
self.logout()
self.login(username, password)<｜fim▁end｜> | login |
<|file_name|>session.py<|end_file_name|><｜fim▁begin｜>__author__ = 'dako'
class SessionHelper:
def __init__(self, app):
self.app = app
def login(self, username, password):
wd = self.app.wd
self.app.open_home_page()
wd.find_element_by_name("user").click()
wd.find_element_by_name("user").clear()
wd.find_element_by_name("user").send_keys(username)
wd.find_element_by_name("pass").click()
wd.find_element_by_name("pass").clear()
wd.find_element_by_name("pass").send_keys(password)
wd.find_element_by_css_selector('input[type="submit"]').click()
def <|fim_middle|>(self):
wd = self.app.wd
wd.find_element_by_link_text("Logout").click()
def is_logged_in(self):
wd = self.app.wd
return len(wd.find_elements_by_link_text("Logout")) > 0
def is_logged_in_as(self, username):
wd = self.app.wd
return self.get_logged_user() == username
def get_logged_user(self):
wd = self.app.wd
return wd.find_element_by_xpath("//div/div[1]/form/b").text[1:-1]
def ensure_logout(self):
wd = self.app.wd
if self.is_logged_in():
self.logout()
def ensure_login(self, username, password):
wd = self.app.wd
if self.is_logged_in():
if self.is_logged_in_as(username):
return
else:
self.logout()
self.login(username, password)<｜fim▁end｜> | logout |
<|file_name|>session.py<|end_file_name|><｜fim▁begin｜>__author__ = 'dako'
class SessionHelper:
def __init__(self, app):
self.app = app
def login(self, username, password):
wd = self.app.wd
self.app.open_home_page()
wd.find_element_by_name("user").click()
wd.find_element_by_name("user").clear()
wd.find_element_by_name("user").send_keys(username)
wd.find_element_by_name("pass").click()
wd.find_element_by_name("pass").clear()
wd.find_element_by_name("pass").send_keys(password)
wd.find_element_by_css_selector('input[type="submit"]').click()
def logout(self):
wd = self.app.wd
wd.find_element_by_link_text("Logout").click()
def <|fim_middle|>(self):
wd = self.app.wd
return len(wd.find_elements_by_link_text("Logout")) > 0
def is_logged_in_as(self, username):
wd = self.app.wd
return self.get_logged_user() == username
def get_logged_user(self):
wd = self.app.wd
return wd.find_element_by_xpath("//div/div[1]/form/b").text[1:-1]
def ensure_logout(self):
wd = self.app.wd
if self.is_logged_in():
self.logout()
def ensure_login(self, username, password):
wd = self.app.wd
if self.is_logged_in():
if self.is_logged_in_as(username):
return
else:
self.logout()
self.login(username, password)<｜fim▁end｜> | is_logged_in |
<|file_name|>session.py<|end_file_name|><｜fim▁begin｜>__author__ = 'dako'
class SessionHelper:
def __init__(self, app):
self.app = app
def login(self, username, password):
wd = self.app.wd
self.app.open_home_page()
wd.find_element_by_name("user").click()
wd.find_element_by_name("user").clear()
wd.find_element_by_name("user").send_keys(username)
wd.find_element_by_name("pass").click()
wd.find_element_by_name("pass").clear()
wd.find_element_by_name("pass").send_keys(password)
wd.find_element_by_css_selector('input[type="submit"]').click()
def logout(self):
wd = self.app.wd
wd.find_element_by_link_text("Logout").click()
def is_logged_in(self):
wd = self.app.wd
return len(wd.find_elements_by_link_text("Logout")) > 0
def <|fim_middle|>(self, username):
wd = self.app.wd
return self.get_logged_user() == username
def get_logged_user(self):
wd = self.app.wd
return wd.find_element_by_xpath("//div/div[1]/form/b").text[1:-1]
def ensure_logout(self):
wd = self.app.wd
if self.is_logged_in():
self.logout()
def ensure_login(self, username, password):
wd = self.app.wd
if self.is_logged_in():
if self.is_logged_in_as(username):
return
else:
self.logout()
self.login(username, password)<｜fim▁end｜> | is_logged_in_as |
<|file_name|>session.py<|end_file_name|><｜fim▁begin｜>__author__ = 'dako'
class SessionHelper:
def __init__(self, app):
self.app = app
def login(self, username, password):
wd = self.app.wd
self.app.open_home_page()
wd.find_element_by_name("user").click()
wd.find_element_by_name("user").clear()
wd.find_element_by_name("user").send_keys(username)
wd.find_element_by_name("pass").click()
wd.find_element_by_name("pass").clear()
wd.find_element_by_name("pass").send_keys(password)
wd.find_element_by_css_selector('input[type="submit"]').click()
def logout(self):
wd = self.app.wd
wd.find_element_by_link_text("Logout").click()
def is_logged_in(self):
wd = self.app.wd
return len(wd.find_elements_by_link_text("Logout")) > 0
def is_logged_in_as(self, username):
wd = self.app.wd
return self.get_logged_user() == username
def <|fim_middle|>(self):
wd = self.app.wd
return wd.find_element_by_xpath("//div/div[1]/form/b").text[1:-1]
def ensure_logout(self):
wd = self.app.wd
if self.is_logged_in():
self.logout()
def ensure_login(self, username, password):
wd = self.app.wd
if self.is_logged_in():
if self.is_logged_in_as(username):
return
else:
self.logout()
self.login(username, password)<｜fim▁end｜> | get_logged_user |
<|file_name|>session.py<|end_file_name|><｜fim▁begin｜>__author__ = 'dako'
class SessionHelper:
def __init__(self, app):
self.app = app
def login(self, username, password):
wd = self.app.wd
self.app.open_home_page()
wd.find_element_by_name("user").click()
wd.find_element_by_name("user").clear()
wd.find_element_by_name("user").send_keys(username)
wd.find_element_by_name("pass").click()
wd.find_element_by_name("pass").clear()
wd.find_element_by_name("pass").send_keys(password)
wd.find_element_by_css_selector('input[type="submit"]').click()
def logout(self):
wd = self.app.wd
wd.find_element_by_link_text("Logout").click()
def is_logged_in(self):
wd = self.app.wd
return len(wd.find_elements_by_link_text("Logout")) > 0
def is_logged_in_as(self, username):
wd = self.app.wd
return self.get_logged_user() == username
def get_logged_user(self):
wd = self.app.wd
return wd.find_element_by_xpath("//div/div[1]/form/b").text[1:-1]
def <|fim_middle|>(self):
wd = self.app.wd
if self.is_logged_in():
self.logout()
def ensure_login(self, username, password):
wd = self.app.wd
if self.is_logged_in():
if self.is_logged_in_as(username):
return
else:
self.logout()
self.login(username, password)<｜fim▁end｜> | ensure_logout |
<|file_name|>session.py<|end_file_name|><｜fim▁begin｜>__author__ = 'dako'
class SessionHelper:
def __init__(self, app):
self.app = app
def login(self, username, password):
wd = self.app.wd
self.app.open_home_page()
wd.find_element_by_name("user").click()
wd.find_element_by_name("user").clear()
wd.find_element_by_name("user").send_keys(username)
wd.find_element_by_name("pass").click()
wd.find_element_by_name("pass").clear()
wd.find_element_by_name("pass").send_keys(password)
wd.find_element_by_css_selector('input[type="submit"]').click()
def logout(self):
wd = self.app.wd
wd.find_element_by_link_text("Logout").click()
def is_logged_in(self):
wd = self.app.wd
return len(wd.find_elements_by_link_text("Logout")) > 0
def is_logged_in_as(self, username):
wd = self.app.wd
return self.get_logged_user() == username
def get_logged_user(self):
wd = self.app.wd
return wd.find_element_by_xpath("//div/div[1]/form/b").text[1:-1]
def ensure_logout(self):
wd = self.app.wd
if self.is_logged_in():
self.logout()
def <|fim_middle|>(self, username, password):
wd = self.app.wd
if self.is_logged_in():
if self.is_logged_in_as(username):
return
else:
self.logout()
self.login(username, password)<｜fim▁end｜> | ensure_login |
<|file_name|>mapper_data.py<|end_file_name|><｜fim▁begin｜>from modelmapper.declarations import Mapper, Field
from modelmapper.qt.fields import QLineEditAccessor
class String(QLineEditAccessor):
def get_value(self):
return str(self.widget.text())
def set_value(self, value):
self.widget.setText(str(value))
class Integer(QLineEditAccessor):<｜fim▁hole｜> def get_value(self):
return int(self.widget.text())
def set_value(self, value):
self.widget.setText(int(value))
def get_child_x_mapper(x):
return {
'{}_link'.format(x): (x, 'val_{}'.format(x))
}
def get_d_mapper():
return {
'expediente_link': Mapper('c[0]', 'val_c[0]', get_child_x_mapper('a')),
'masa_bruta_link': Mapper('c[1]', 'val_c[1]', get_child_x_mapper('b')),
'nombre_link': Field('cc', 'val_cc'),
}
def get_model_mapper():
return {
'expediente_link': Field('expediente', String('expediente')),
'masa_bruta_link': Field('masa_bruta', Integer('masa_bruta')),
'nombre_link': Field('nombre', String('nombre'))
}<｜fim▁end｜> | |
<|file_name|>mapper_data.py<|end_file_name|><｜fim▁begin｜>from modelmapper.declarations import Mapper, Field
from modelmapper.qt.fields import QLineEditAccessor
class String(QLineEditAccessor):
<|fim_middle|>
class Integer(QLineEditAccessor):
def get_value(self):
return int(self.widget.text())
def set_value(self, value):
self.widget.setText(int(value))
def get_child_x_mapper(x):
return {
'{}_link'.format(x): (x, 'val_{}'.format(x))
}
def get_d_mapper():
return {
'expediente_link': Mapper('c[0]', 'val_c[0]', get_child_x_mapper('a')),
'masa_bruta_link': Mapper('c[1]', 'val_c[1]', get_child_x_mapper('b')),
'nombre_link': Field('cc', 'val_cc'),
}
def get_model_mapper():
return {
'expediente_link': Field('expediente', String('expediente')),
'masa_bruta_link': Field('masa_bruta', Integer('masa_bruta')),
'nombre_link': Field('nombre', String('nombre'))
}
<｜fim▁end｜> | def get_value(self):
return str(self.widget.text())
def set_value(self, value):
self.widget.setText(str(value)) |
<|file_name|>mapper_data.py<|end_file_name|><｜fim▁begin｜>from modelmapper.declarations import Mapper, Field
from modelmapper.qt.fields import QLineEditAccessor
class String(QLineEditAccessor):
def get_value(self):
<|fim_middle|>
def set_value(self, value):
self.widget.setText(str(value))
class Integer(QLineEditAccessor):
def get_value(self):
return int(self.widget.text())
def set_value(self, value):
self.widget.setText(int(value))
def get_child_x_mapper(x):
return {
'{}_link'.format(x): (x, 'val_{}'.format(x))
}
def get_d_mapper():
return {
'expediente_link': Mapper('c[0]', 'val_c[0]', get_child_x_mapper('a')),
'masa_bruta_link': Mapper('c[1]', 'val_c[1]', get_child_x_mapper('b')),
'nombre_link': Field('cc', 'val_cc'),
}
def get_model_mapper():
return {
'expediente_link': Field('expediente', String('expediente')),
'masa_bruta_link': Field('masa_bruta', Integer('masa_bruta')),
'nombre_link': Field('nombre', String('nombre'))
}
<｜fim▁end｜> | return str(self.widget.text()) |
<|file_name|>mapper_data.py<|end_file_name|><｜fim▁begin｜>from modelmapper.declarations import Mapper, Field
from modelmapper.qt.fields import QLineEditAccessor
class String(QLineEditAccessor):
def get_value(self):
return str(self.widget.text())
def set_value(self, value):
<|fim_middle|>
class Integer(QLineEditAccessor):
def get_value(self):
return int(self.widget.text())
def set_value(self, value):
self.widget.setText(int(value))
def get_child_x_mapper(x):
return {
'{}_link'.format(x): (x, 'val_{}'.format(x))
}
def get_d_mapper():
return {
'expediente_link': Mapper('c[0]', 'val_c[0]', get_child_x_mapper('a')),
'masa_bruta_link': Mapper('c[1]', 'val_c[1]', get_child_x_mapper('b')),
'nombre_link': Field('cc', 'val_cc'),
}
def get_model_mapper():
return {
'expediente_link': Field('expediente', String('expediente')),
'masa_bruta_link': Field('masa_bruta', Integer('masa_bruta')),
'nombre_link': Field('nombre', String('nombre'))
}
<｜fim▁end｜> | self.widget.setText(str(value)) |
<|file_name|>mapper_data.py<|end_file_name|><｜fim▁begin｜>from modelmapper.declarations import Mapper, Field
from modelmapper.qt.fields import QLineEditAccessor
class String(QLineEditAccessor):
def get_value(self):
return str(self.widget.text())
def set_value(self, value):
self.widget.setText(str(value))
class Integer(QLineEditAccessor):
<|fim_middle|>
def get_child_x_mapper(x):
return {
'{}_link'.format(x): (x, 'val_{}'.format(x))
}
def get_d_mapper():
return {
'expediente_link': Mapper('c[0]', 'val_c[0]', get_child_x_mapper('a')),
'masa_bruta_link': Mapper('c[1]', 'val_c[1]', get_child_x_mapper('b')),
'nombre_link': Field('cc', 'val_cc'),
}
def get_model_mapper():
return {
'expediente_link': Field('expediente', String('expediente')),
'masa_bruta_link': Field('masa_bruta', Integer('masa_bruta')),
'nombre_link': Field('nombre', String('nombre'))
}
<｜fim▁end｜> | def get_value(self):
return int(self.widget.text())
def set_value(self, value):
self.widget.setText(int(value)) |
<|file_name|>mapper_data.py<|end_file_name|><｜fim▁begin｜>from modelmapper.declarations import Mapper, Field
from modelmapper.qt.fields import QLineEditAccessor
class String(QLineEditAccessor):
def get_value(self):
return str(self.widget.text())
def set_value(self, value):
self.widget.setText(str(value))
class Integer(QLineEditAccessor):
def get_value(self):
<|fim_middle|>
def set_value(self, value):
self.widget.setText(int(value))
def get_child_x_mapper(x):
return {
'{}_link'.format(x): (x, 'val_{}'.format(x))
}
def get_d_mapper():
return {
'expediente_link': Mapper('c[0]', 'val_c[0]', get_child_x_mapper('a')),
'masa_bruta_link': Mapper('c[1]', 'val_c[1]', get_child_x_mapper('b')),
'nombre_link': Field('cc', 'val_cc'),
}
def get_model_mapper():
return {
'expediente_link': Field('expediente', String('expediente')),
'masa_bruta_link': Field('masa_bruta', Integer('masa_bruta')),
'nombre_link': Field('nombre', String('nombre'))
}
<｜fim▁end｜> | return int(self.widget.text()) |
<|file_name|>mapper_data.py<|end_file_name|><｜fim▁begin｜>from modelmapper.declarations import Mapper, Field
from modelmapper.qt.fields import QLineEditAccessor
class String(QLineEditAccessor):
def get_value(self):
return str(self.widget.text())
def set_value(self, value):
self.widget.setText(str(value))
class Integer(QLineEditAccessor):
def get_value(self):
return int(self.widget.text())
def set_value(self, value):
<|fim_middle|>
def get_child_x_mapper(x):
return {
'{}_link'.format(x): (x, 'val_{}'.format(x))
}
def get_d_mapper():
return {
'expediente_link': Mapper('c[0]', 'val_c[0]', get_child_x_mapper('a')),
'masa_bruta_link': Mapper('c[1]', 'val_c[1]', get_child_x_mapper('b')),
'nombre_link': Field('cc', 'val_cc'),
}
def get_model_mapper():
return {
'expediente_link': Field('expediente', String('expediente')),
'masa_bruta_link': Field('masa_bruta', Integer('masa_bruta')),
'nombre_link': Field('nombre', String('nombre'))
}
<｜fim▁end｜> | self.widget.setText(int(value)) |
<|file_name|>mapper_data.py<|end_file_name|><｜fim▁begin｜>from modelmapper.declarations import Mapper, Field
from modelmapper.qt.fields import QLineEditAccessor
class String(QLineEditAccessor):
def get_value(self):
return str(self.widget.text())
def set_value(self, value):
self.widget.setText(str(value))
class Integer(QLineEditAccessor):
def get_value(self):
return int(self.widget.text())
def set_value(self, value):
self.widget.setText(int(value))
def get_child_x_mapper(x):
<|fim_middle|>
def get_d_mapper():
return {
'expediente_link': Mapper('c[0]', 'val_c[0]', get_child_x_mapper('a')),
'masa_bruta_link': Mapper('c[1]', 'val_c[1]', get_child_x_mapper('b')),
'nombre_link': Field('cc', 'val_cc'),
}
def get_model_mapper():
return {
'expediente_link': Field('expediente', String('expediente')),
'masa_bruta_link': Field('masa_bruta', Integer('masa_bruta')),
'nombre_link': Field('nombre', String('nombre'))
}
<｜fim▁end｜> | return {
'{}_link'.format(x): (x, 'val_{}'.format(x))
} |
<|file_name|>mapper_data.py<|end_file_name|><｜fim▁begin｜>from modelmapper.declarations import Mapper, Field
from modelmapper.qt.fields import QLineEditAccessor
class String(QLineEditAccessor):
def get_value(self):
return str(self.widget.text())
def set_value(self, value):
self.widget.setText(str(value))
class Integer(QLineEditAccessor):
def get_value(self):
return int(self.widget.text())
def set_value(self, value):
self.widget.setText(int(value))
def get_child_x_mapper(x):
return {
'{}_link'.format(x): (x, 'val_{}'.format(x))
}
def get_d_mapper():
<|fim_middle|>
def get_model_mapper():
return {
'expediente_link': Field('expediente', String('expediente')),
'masa_bruta_link': Field('masa_bruta', Integer('masa_bruta')),
'nombre_link': Field('nombre', String('nombre'))
}
<｜fim▁end｜> | return {
'expediente_link': Mapper('c[0]', 'val_c[0]', get_child_x_mapper('a')),
'masa_bruta_link': Mapper('c[1]', 'val_c[1]', get_child_x_mapper('b')),
'nombre_link': Field('cc', 'val_cc'),
} |
<|file_name|>mapper_data.py<|end_file_name|><｜fim▁begin｜>from modelmapper.declarations import Mapper, Field
from modelmapper.qt.fields import QLineEditAccessor
class String(QLineEditAccessor):
def get_value(self):
return str(self.widget.text())
def set_value(self, value):
self.widget.setText(str(value))
class Integer(QLineEditAccessor):
def get_value(self):
return int(self.widget.text())
def set_value(self, value):
self.widget.setText(int(value))
def get_child_x_mapper(x):
return {
'{}_link'.format(x): (x, 'val_{}'.format(x))
}
def get_d_mapper():
return {
'expediente_link': Mapper('c[0]', 'val_c[0]', get_child_x_mapper('a')),
'masa_bruta_link': Mapper('c[1]', 'val_c[1]', get_child_x_mapper('b')),
'nombre_link': Field('cc', 'val_cc'),
}
def get_model_mapper():
<|fim_middle|>
<｜fim▁end｜> | return {
'expediente_link': Field('expediente', String('expediente')),
'masa_bruta_link': Field('masa_bruta', Integer('masa_bruta')),
'nombre_link': Field('nombre', String('nombre'))
} |
<|file_name|>mapper_data.py<|end_file_name|><｜fim▁begin｜>from modelmapper.declarations import Mapper, Field
from modelmapper.qt.fields import QLineEditAccessor
class String(QLineEditAccessor):
def <|fim_middle|>(self):
return str(self.widget.text())
def set_value(self, value):
self.widget.setText(str(value))
class Integer(QLineEditAccessor):
def get_value(self):
return int(self.widget.text())
def set_value(self, value):
self.widget.setText(int(value))
def get_child_x_mapper(x):
return {
'{}_link'.format(x): (x, 'val_{}'.format(x))
}
def get_d_mapper():
return {
'expediente_link': Mapper('c[0]', 'val_c[0]', get_child_x_mapper('a')),
'masa_bruta_link': Mapper('c[1]', 'val_c[1]', get_child_x_mapper('b')),
'nombre_link': Field('cc', 'val_cc'),
}
def get_model_mapper():
return {
'expediente_link': Field('expediente', String('expediente')),
'masa_bruta_link': Field('masa_bruta', Integer('masa_bruta')),
'nombre_link': Field('nombre', String('nombre'))
}
<｜fim▁end｜> | get_value |
<|file_name|>mapper_data.py<|end_file_name|><｜fim▁begin｜>from modelmapper.declarations import Mapper, Field
from modelmapper.qt.fields import QLineEditAccessor
class String(QLineEditAccessor):
def get_value(self):
return str(self.widget.text())
def <|fim_middle|>(self, value):
self.widget.setText(str(value))
class Integer(QLineEditAccessor):
def get_value(self):
return int(self.widget.text())
def set_value(self, value):
self.widget.setText(int(value))
def get_child_x_mapper(x):
return {
'{}_link'.format(x): (x, 'val_{}'.format(x))
}
def get_d_mapper():
return {
'expediente_link': Mapper('c[0]', 'val_c[0]', get_child_x_mapper('a')),
'masa_bruta_link': Mapper('c[1]', 'val_c[1]', get_child_x_mapper('b')),
'nombre_link': Field('cc', 'val_cc'),
}
def get_model_mapper():
return {
'expediente_link': Field('expediente', String('expediente')),
'masa_bruta_link': Field('masa_bruta', Integer('masa_bruta')),
'nombre_link': Field('nombre', String('nombre'))
}
<｜fim▁end｜> | set_value |
<|file_name|>mapper_data.py<|end_file_name|><｜fim▁begin｜>from modelmapper.declarations import Mapper, Field
from modelmapper.qt.fields import QLineEditAccessor
class String(QLineEditAccessor):
def get_value(self):
return str(self.widget.text())
def set_value(self, value):
self.widget.setText(str(value))
class Integer(QLineEditAccessor):
def <|fim_middle|>(self):
return int(self.widget.text())
def set_value(self, value):
self.widget.setText(int(value))
def get_child_x_mapper(x):
return {
'{}_link'.format(x): (x, 'val_{}'.format(x))
}
def get_d_mapper():
return {
'expediente_link': Mapper('c[0]', 'val_c[0]', get_child_x_mapper('a')),
'masa_bruta_link': Mapper('c[1]', 'val_c[1]', get_child_x_mapper('b')),
'nombre_link': Field('cc', 'val_cc'),
}
def get_model_mapper():
return {
'expediente_link': Field('expediente', String('expediente')),
'masa_bruta_link': Field('masa_bruta', Integer('masa_bruta')),
'nombre_link': Field('nombre', String('nombre'))
}
<｜fim▁end｜> | get_value |
<|file_name|>mapper_data.py<|end_file_name|><｜fim▁begin｜>from modelmapper.declarations import Mapper, Field
from modelmapper.qt.fields import QLineEditAccessor
class String(QLineEditAccessor):
def get_value(self):
return str(self.widget.text())
def set_value(self, value):
self.widget.setText(str(value))
class Integer(QLineEditAccessor):
def get_value(self):
return int(self.widget.text())
def <|fim_middle|>(self, value):
self.widget.setText(int(value))
def get_child_x_mapper(x):
return {
'{}_link'.format(x): (x, 'val_{}'.format(x))
}
def get_d_mapper():
return {
'expediente_link': Mapper('c[0]', 'val_c[0]', get_child_x_mapper('a')),
'masa_bruta_link': Mapper('c[1]', 'val_c[1]', get_child_x_mapper('b')),
'nombre_link': Field('cc', 'val_cc'),
}
def get_model_mapper():
return {
'expediente_link': Field('expediente', String('expediente')),
'masa_bruta_link': Field('masa_bruta', Integer('masa_bruta')),
'nombre_link': Field('nombre', String('nombre'))
}
<｜fim▁end｜> | set_value |
<|file_name|>mapper_data.py<|end_file_name|><｜fim▁begin｜>from modelmapper.declarations import Mapper, Field
from modelmapper.qt.fields import QLineEditAccessor
class String(QLineEditAccessor):
def get_value(self):
return str(self.widget.text())
def set_value(self, value):
self.widget.setText(str(value))
class Integer(QLineEditAccessor):
def get_value(self):
return int(self.widget.text())
def set_value(self, value):
self.widget.setText(int(value))
def <|fim_middle|>(x):
return {
'{}_link'.format(x): (x, 'val_{}'.format(x))
}
def get_d_mapper():
return {
'expediente_link': Mapper('c[0]', 'val_c[0]', get_child_x_mapper('a')),
'masa_bruta_link': Mapper('c[1]', 'val_c[1]', get_child_x_mapper('b')),
'nombre_link': Field('cc', 'val_cc'),
}
def get_model_mapper():
return {
'expediente_link': Field('expediente', String('expediente')),
'masa_bruta_link': Field('masa_bruta', Integer('masa_bruta')),
'nombre_link': Field('nombre', String('nombre'))
}
<｜fim▁end｜> | get_child_x_mapper |
<|file_name|>mapper_data.py<|end_file_name|><｜fim▁begin｜>from modelmapper.declarations import Mapper, Field
from modelmapper.qt.fields import QLineEditAccessor
class String(QLineEditAccessor):
def get_value(self):
return str(self.widget.text())
def set_value(self, value):
self.widget.setText(str(value))
class Integer(QLineEditAccessor):
def get_value(self):
return int(self.widget.text())
def set_value(self, value):
self.widget.setText(int(value))
def get_child_x_mapper(x):
return {
'{}_link'.format(x): (x, 'val_{}'.format(x))
}
def <|fim_middle|>():
return {
'expediente_link': Mapper('c[0]', 'val_c[0]', get_child_x_mapper('a')),
'masa_bruta_link': Mapper('c[1]', 'val_c[1]', get_child_x_mapper('b')),
'nombre_link': Field('cc', 'val_cc'),
}
def get_model_mapper():
return {
'expediente_link': Field('expediente', String('expediente')),
'masa_bruta_link': Field('masa_bruta', Integer('masa_bruta')),
'nombre_link': Field('nombre', String('nombre'))
}
<｜fim▁end｜> | get_d_mapper |
<|file_name|>mapper_data.py<|end_file_name|><｜fim▁begin｜>from modelmapper.declarations import Mapper, Field
from modelmapper.qt.fields import QLineEditAccessor
class String(QLineEditAccessor):
def get_value(self):
return str(self.widget.text())
def set_value(self, value):
self.widget.setText(str(value))
class Integer(QLineEditAccessor):
def get_value(self):
return int(self.widget.text())
def set_value(self, value):
self.widget.setText(int(value))
def get_child_x_mapper(x):
return {
'{}_link'.format(x): (x, 'val_{}'.format(x))
}
def get_d_mapper():
return {
'expediente_link': Mapper('c[0]', 'val_c[0]', get_child_x_mapper('a')),
'masa_bruta_link': Mapper('c[1]', 'val_c[1]', get_child_x_mapper('b')),
'nombre_link': Field('cc', 'val_cc'),
}
def <|fim_middle|>():
return {
'expediente_link': Field('expediente', String('expediente')),
'masa_bruta_link': Field('masa_bruta', Integer('masa_bruta')),
'nombre_link': Field('nombre', String('nombre'))
}
<｜fim▁end｜> | get_model_mapper |
<|file_name|>mysql_001.py<|end_file_name|><｜fim▁begin｜>"""
Installs and configures MySQL
"""
import uuid
import logging
from packstack.installer import validators
from packstack.installer import utils
from packstack.modules.ospluginutils import getManifestTemplate, appendManifestFile
# Controller object will be initialized from main flow
controller = None
# Plugin name
PLUGIN_NAME = "OS-MySQL"
PLUGIN_NAME_COLORED = utils.color_text(PLUGIN_NAME, 'blue')
logging.debug("plugin %s loaded", __name__)<｜fim▁hole｜> logging.debug("Adding MySQL OpenStack configuration")
paramsList = [
{"CMD_OPTION" : "mysql-host",
"USAGE" : "The IP address of the server on which to install MySQL",
"PROMPT" : "Enter the IP address of the MySQL server",
"OPTION_LIST" : [],
"VALIDATORS" : [validators.validate_ssh],
"DEFAULT_VALUE" : utils.get_localhost_ip(),
"MASK_INPUT" : False,
"LOOSE_VALIDATION": True,
"CONF_NAME" : "CONFIG_MYSQL_HOST",
"USE_DEFAULT" : False,
"NEED_CONFIRM" : False,
"CONDITION" : False },
{"CMD_OPTION" : "mysql-user",
"USAGE" : "Username for the MySQL admin user",
"PROMPT" : "Enter the username for the MySQL admin user",
"OPTION_LIST" : [],
"VALIDATORS" : [validators.validate_not_empty],
"DEFAULT_VALUE" : "root",
"MASK_INPUT" : False,
"LOOSE_VALIDATION": False,
"CONF_NAME" : "CONFIG_MYSQL_USER",
"USE_DEFAULT" : True,
"NEED_CONFIRM" : False,
"CONDITION" : False },
{"CMD_OPTION" : "mysql-pw",
"USAGE" : "Password for the MySQL admin user",
"PROMPT" : "Enter the password for the MySQL admin user",
"OPTION_LIST" : [],
"VALIDATORS" : [validators.validate_not_empty],
"DEFAULT_VALUE" : uuid.uuid4().hex[:16],
"MASK_INPUT" : True,
"LOOSE_VALIDATION": True,
"CONF_NAME" : "CONFIG_MYSQL_PW",
"USE_DEFAULT" : False,
"NEED_CONFIRM" : True,
"CONDITION" : False },
]
groupDict = { "GROUP_NAME" : "MYSQL",
"DESCRIPTION" : "MySQL Config parameters",
"PRE_CONDITION" : lambda x: 'yes',
"PRE_CONDITION_MATCH" : "yes",
"POST_CONDITION" : False,
"POST_CONDITION_MATCH" : True}
controller.addGroup(groupDict, paramsList)
def initSequences(controller):
mysqlsteps = [
{'title': 'Adding MySQL manifest entries',
'functions':[createmanifest]}
]
controller.addSequence("Installing MySQL", [], [], mysqlsteps)
def createmanifest(config):
if config['CONFIG_MYSQL_INSTALL'] == 'y':
install = True
suffix = 'install'
else:
install = False
suffix = 'noinstall'
# In case we are not installing MySQL server, mysql* manifests have
# to be run from Keystone host
host = install and config['CONFIG_MYSQL_HOST'] \
or config['CONFIG_KEYSTONE_HOST']
manifestfile = "%s_mysql.pp" % host
manifestdata = [getManifestTemplate('mysql_%s.pp' % suffix)]
def append_for(module, suffix):
# Modules have to be appended to the existing mysql.pp
# otherwise pp will fail for some of them saying that
# Mysql::Config definition is missing.
template = "mysql_%s_%s.pp" % (module, suffix)
manifestdata.append(getManifestTemplate(template))
append_for("keystone", suffix)
hosts = set()
for mod in ['nova', 'cinder', 'glance', 'neutron', 'heat']:
if config['CONFIG_%s_INSTALL' % mod.upper()] == 'y':
append_for(mod, suffix)
# Check wich modules are enabled so we can allow their
# hosts on the firewall
if mod != 'nova' and mod != 'neutron':
hosts.add(config.get('CONFIG_%s_HOST' % mod.upper()).strip())
elif mod == 'neutron':
hosts.add(config.get('CONFIG_NEUTRON_SERVER_HOST').strip())
elif config['CONFIG_NOVA_INSTALL'] != 'n':
#In that remote case that we have lot's of nova hosts
hosts.add(config.get('CONFIG_NOVA_API_HOST').strip())
hosts.add(config.get('CONFIG_NOVA_CERT_HOST').strip())
hosts.add(config.get('CONFIG_NOVA_VNCPROXY_HOST').strip())
hosts.add(config.get('CONFIG_NOVA_CONDUCTOR_HOST').strip())
hosts.add(config.get('CONFIG_NOVA_SCHED_HOST').strip())
if config['CONFIG_NEUTRON_INSTALL'] != 'y':
dbhosts = split_hosts(config['CONFIG_NOVA_NETWORK_HOSTS'])
hosts |= dbhosts
for host in config.get('CONFIG_NOVA_COMPUTE_HOSTS').split(','):
hosts.add(host.strip())
config['FIREWALL_ALLOWED'] = ",".join(["'%s'" % i for i in hosts])
config['FIREWALL_SERVICE_NAME'] = "mysql"
config['FIREWALL_PORTS'] = "'3306'"
manifestdata.append(getManifestTemplate("firewall.pp"))
appendManifestFile(manifestfile, "\n".join(manifestdata), 'pre')<｜fim▁end｜> |
def initConfig(controllerObject):
global controller
controller = controllerObject |
<|file_name|>mysql_001.py<|end_file_name|><｜fim▁begin｜>"""
Installs and configures MySQL
"""
import uuid
import logging
from packstack.installer import validators
from packstack.installer import utils
from packstack.modules.ospluginutils import getManifestTemplate, appendManifestFile
# Controller object will be initialized from main flow
controller = None
# Plugin name
PLUGIN_NAME = "OS-MySQL"
PLUGIN_NAME_COLORED = utils.color_text(PLUGIN_NAME, 'blue')
logging.debug("plugin %s loaded", __name__)
def initConfig(controllerObject):
<|fim_middle|>
def initSequences(controller):
mysqlsteps = [
{'title': 'Adding MySQL manifest entries',
'functions':[createmanifest]}
]
controller.addSequence("Installing MySQL", [], [], mysqlsteps)
def createmanifest(config):
if config['CONFIG_MYSQL_INSTALL'] == 'y':
install = True
suffix = 'install'
else:
install = False
suffix = 'noinstall'
# In case we are not installing MySQL server, mysql* manifests have
# to be run from Keystone host
host = install and config['CONFIG_MYSQL_HOST'] \
or config['CONFIG_KEYSTONE_HOST']
manifestfile = "%s_mysql.pp" % host
manifestdata = [getManifestTemplate('mysql_%s.pp' % suffix)]
def append_for(module, suffix):
# Modules have to be appended to the existing mysql.pp
# otherwise pp will fail for some of them saying that
# Mysql::Config definition is missing.
template = "mysql_%s_%s.pp" % (module, suffix)
manifestdata.append(getManifestTemplate(template))
append_for("keystone", suffix)
hosts = set()
for mod in ['nova', 'cinder', 'glance', 'neutron', 'heat']:
if config['CONFIG_%s_INSTALL' % mod.upper()] == 'y':
append_for(mod, suffix)
# Check wich modules are enabled so we can allow their
# hosts on the firewall
if mod != 'nova' and mod != 'neutron':
hosts.add(config.get('CONFIG_%s_HOST' % mod.upper()).strip())
elif mod == 'neutron':
hosts.add(config.get('CONFIG_NEUTRON_SERVER_HOST').strip())
elif config['CONFIG_NOVA_INSTALL'] != 'n':
#In that remote case that we have lot's of nova hosts
hosts.add(config.get('CONFIG_NOVA_API_HOST').strip())
hosts.add(config.get('CONFIG_NOVA_CERT_HOST').strip())
hosts.add(config.get('CONFIG_NOVA_VNCPROXY_HOST').strip())
hosts.add(config.get('CONFIG_NOVA_CONDUCTOR_HOST').strip())
hosts.add(config.get('CONFIG_NOVA_SCHED_HOST').strip())
if config['CONFIG_NEUTRON_INSTALL'] != 'y':
dbhosts = split_hosts(config['CONFIG_NOVA_NETWORK_HOSTS'])
hosts |= dbhosts
for host in config.get('CONFIG_NOVA_COMPUTE_HOSTS').split(','):
hosts.add(host.strip())
config['FIREWALL_ALLOWED'] = ",".join(["'%s'" % i for i in hosts])
config['FIREWALL_SERVICE_NAME'] = "mysql"
config['FIREWALL_PORTS'] = "'3306'"
manifestdata.append(getManifestTemplate("firewall.pp"))
appendManifestFile(manifestfile, "\n".join(manifestdata), 'pre')
<｜fim▁end｜> | global controller
controller = controllerObject
logging.debug("Adding MySQL OpenStack configuration")
paramsList = [
{"CMD_OPTION" : "mysql-host",
"USAGE" : "The IP address of the server on which to install MySQL",
"PROMPT" : "Enter the IP address of the MySQL server",
"OPTION_LIST" : [],
"VALIDATORS" : [validators.validate_ssh],
"DEFAULT_VALUE" : utils.get_localhost_ip(),
"MASK_INPUT" : False,
"LOOSE_VALIDATION": True,
"CONF_NAME" : "CONFIG_MYSQL_HOST",
"USE_DEFAULT" : False,
"NEED_CONFIRM" : False,
"CONDITION" : False },
{"CMD_OPTION" : "mysql-user",
"USAGE" : "Username for the MySQL admin user",
"PROMPT" : "Enter the username for the MySQL admin user",
"OPTION_LIST" : [],
"VALIDATORS" : [validators.validate_not_empty],
"DEFAULT_VALUE" : "root",
"MASK_INPUT" : False,
"LOOSE_VALIDATION": False,
"CONF_NAME" : "CONFIG_MYSQL_USER",
"USE_DEFAULT" : True,
"NEED_CONFIRM" : False,
"CONDITION" : False },
{"CMD_OPTION" : "mysql-pw",
"USAGE" : "Password for the MySQL admin user",
"PROMPT" : "Enter the password for the MySQL admin user",
"OPTION_LIST" : [],
"VALIDATORS" : [validators.validate_not_empty],
"DEFAULT_VALUE" : uuid.uuid4().hex[:16],
"MASK_INPUT" : True,
"LOOSE_VALIDATION": True,
"CONF_NAME" : "CONFIG_MYSQL_PW",
"USE_DEFAULT" : False,
"NEED_CONFIRM" : True,
"CONDITION" : False },
]
groupDict = { "GROUP_NAME" : "MYSQL",
"DESCRIPTION" : "MySQL Config parameters",
"PRE_CONDITION" : lambda x: 'yes',
"PRE_CONDITION_MATCH" : "yes",
"POST_CONDITION" : False,
"POST_CONDITION_MATCH" : True}
controller.addGroup(groupDict, paramsList) |
<|file_name|>mysql_001.py<|end_file_name|><｜fim▁begin｜>"""
Installs and configures MySQL
"""
import uuid
import logging
from packstack.installer import validators
from packstack.installer import utils
from packstack.modules.ospluginutils import getManifestTemplate, appendManifestFile
# Controller object will be initialized from main flow
controller = None
# Plugin name
PLUGIN_NAME = "OS-MySQL"
PLUGIN_NAME_COLORED = utils.color_text(PLUGIN_NAME, 'blue')
logging.debug("plugin %s loaded", __name__)
def initConfig(controllerObject):
global controller
controller = controllerObject
logging.debug("Adding MySQL OpenStack configuration")
paramsList = [
{"CMD_OPTION" : "mysql-host",
"USAGE" : "The IP address of the server on which to install MySQL",
"PROMPT" : "Enter the IP address of the MySQL server",
"OPTION_LIST" : [],
"VALIDATORS" : [validators.validate_ssh],
"DEFAULT_VALUE" : utils.get_localhost_ip(),
"MASK_INPUT" : False,
"LOOSE_VALIDATION": True,
"CONF_NAME" : "CONFIG_MYSQL_HOST",
"USE_DEFAULT" : False,
"NEED_CONFIRM" : False,
"CONDITION" : False },
{"CMD_OPTION" : "mysql-user",
"USAGE" : "Username for the MySQL admin user",
"PROMPT" : "Enter the username for the MySQL admin user",
"OPTION_LIST" : [],
"VALIDATORS" : [validators.validate_not_empty],
"DEFAULT_VALUE" : "root",
"MASK_INPUT" : False,
"LOOSE_VALIDATION": False,
"CONF_NAME" : "CONFIG_MYSQL_USER",
"USE_DEFAULT" : True,
"NEED_CONFIRM" : False,
"CONDITION" : False },
{"CMD_OPTION" : "mysql-pw",
"USAGE" : "Password for the MySQL admin user",
"PROMPT" : "Enter the password for the MySQL admin user",
"OPTION_LIST" : [],
"VALIDATORS" : [validators.validate_not_empty],
"DEFAULT_VALUE" : uuid.uuid4().hex[:16],
"MASK_INPUT" : True,
"LOOSE_VALIDATION": True,
"CONF_NAME" : "CONFIG_MYSQL_PW",
"USE_DEFAULT" : False,
"NEED_CONFIRM" : True,
"CONDITION" : False },
]
groupDict = { "GROUP_NAME" : "MYSQL",
"DESCRIPTION" : "MySQL Config parameters",
"PRE_CONDITION" : lambda x: 'yes',
"PRE_CONDITION_MATCH" : "yes",
"POST_CONDITION" : False,
"POST_CONDITION_MATCH" : True}
controller.addGroup(groupDict, paramsList)
def initSequences(controller):
<|fim_middle|>
def createmanifest(config):
if config['CONFIG_MYSQL_INSTALL'] == 'y':
install = True
suffix = 'install'
else:
install = False
suffix = 'noinstall'
# In case we are not installing MySQL server, mysql* manifests have
# to be run from Keystone host
host = install and config['CONFIG_MYSQL_HOST'] \
or config['CONFIG_KEYSTONE_HOST']
manifestfile = "%s_mysql.pp" % host
manifestdata = [getManifestTemplate('mysql_%s.pp' % suffix)]
def append_for(module, suffix):
# Modules have to be appended to the existing mysql.pp
# otherwise pp will fail for some of them saying that
# Mysql::Config definition is missing.
template = "mysql_%s_%s.pp" % (module, suffix)
manifestdata.append(getManifestTemplate(template))
append_for("keystone", suffix)
hosts = set()
for mod in ['nova', 'cinder', 'glance', 'neutron', 'heat']:
if config['CONFIG_%s_INSTALL' % mod.upper()] == 'y':
append_for(mod, suffix)
# Check wich modules are enabled so we can allow their
# hosts on the firewall
if mod != 'nova' and mod != 'neutron':
hosts.add(config.get('CONFIG_%s_HOST' % mod.upper()).strip())
elif mod == 'neutron':
hosts.add(config.get('CONFIG_NEUTRON_SERVER_HOST').strip())
elif config['CONFIG_NOVA_INSTALL'] != 'n':
#In that remote case that we have lot's of nova hosts
hosts.add(config.get('CONFIG_NOVA_API_HOST').strip())
hosts.add(config.get('CONFIG_NOVA_CERT_HOST').strip())
hosts.add(config.get('CONFIG_NOVA_VNCPROXY_HOST').strip())
hosts.add(config.get('CONFIG_NOVA_CONDUCTOR_HOST').strip())
hosts.add(config.get('CONFIG_NOVA_SCHED_HOST').strip())
if config['CONFIG_NEUTRON_INSTALL'] != 'y':
dbhosts = split_hosts(config['CONFIG_NOVA_NETWORK_HOSTS'])
hosts |= dbhosts
for host in config.get('CONFIG_NOVA_COMPUTE_HOSTS').split(','):
hosts.add(host.strip())
config['FIREWALL_ALLOWED'] = ",".join(["'%s'" % i for i in hosts])
config['FIREWALL_SERVICE_NAME'] = "mysql"
config['FIREWALL_PORTS'] = "'3306'"
manifestdata.append(getManifestTemplate("firewall.pp"))
appendManifestFile(manifestfile, "\n".join(manifestdata), 'pre')
<｜fim▁end｜> | mysqlsteps = [
{'title': 'Adding MySQL manifest entries',
'functions':[createmanifest]}
]
controller.addSequence("Installing MySQL", [], [], mysqlsteps) |
<|file_name|>mysql_001.py<|end_file_name|><｜fim▁begin｜>"""
Installs and configures MySQL
"""
import uuid
import logging
from packstack.installer import validators
from packstack.installer import utils
from packstack.modules.ospluginutils import getManifestTemplate, appendManifestFile
# Controller object will be initialized from main flow
controller = None
# Plugin name
PLUGIN_NAME = "OS-MySQL"
PLUGIN_NAME_COLORED = utils.color_text(PLUGIN_NAME, 'blue')
logging.debug("plugin %s loaded", __name__)
def initConfig(controllerObject):
global controller
controller = controllerObject
logging.debug("Adding MySQL OpenStack configuration")
paramsList = [
{"CMD_OPTION" : "mysql-host",
"USAGE" : "The IP address of the server on which to install MySQL",
"PROMPT" : "Enter the IP address of the MySQL server",
"OPTION_LIST" : [],
"VALIDATORS" : [validators.validate_ssh],
"DEFAULT_VALUE" : utils.get_localhost_ip(),
"MASK_INPUT" : False,
"LOOSE_VALIDATION": True,
"CONF_NAME" : "CONFIG_MYSQL_HOST",
"USE_DEFAULT" : False,
"NEED_CONFIRM" : False,
"CONDITION" : False },
{"CMD_OPTION" : "mysql-user",
"USAGE" : "Username for the MySQL admin user",
"PROMPT" : "Enter the username for the MySQL admin user",
"OPTION_LIST" : [],
"VALIDATORS" : [validators.validate_not_empty],
"DEFAULT_VALUE" : "root",
"MASK_INPUT" : False,
"LOOSE_VALIDATION": False,
"CONF_NAME" : "CONFIG_MYSQL_USER",
"USE_DEFAULT" : True,
"NEED_CONFIRM" : False,
"CONDITION" : False },
{"CMD_OPTION" : "mysql-pw",
"USAGE" : "Password for the MySQL admin user",
"PROMPT" : "Enter the password for the MySQL admin user",
"OPTION_LIST" : [],
"VALIDATORS" : [validators.validate_not_empty],
"DEFAULT_VALUE" : uuid.uuid4().hex[:16],
"MASK_INPUT" : True,
"LOOSE_VALIDATION": True,
"CONF_NAME" : "CONFIG_MYSQL_PW",
"USE_DEFAULT" : False,
"NEED_CONFIRM" : True,
"CONDITION" : False },
]
groupDict = { "GROUP_NAME" : "MYSQL",
"DESCRIPTION" : "MySQL Config parameters",
"PRE_CONDITION" : lambda x: 'yes',
"PRE_CONDITION_MATCH" : "yes",
"POST_CONDITION" : False,
"POST_CONDITION_MATCH" : True}
controller.addGroup(groupDict, paramsList)
def initSequences(controller):
mysqlsteps = [
{'title': 'Adding MySQL manifest entries',
'functions':[createmanifest]}
]
controller.addSequence("Installing MySQL", [], [], mysqlsteps)
def createmanifest(config):
<|fim_middle|>
<｜fim▁end｜> | if config['CONFIG_MYSQL_INSTALL'] == 'y':
install = True
suffix = 'install'
else:
install = False
suffix = 'noinstall'
# In case we are not installing MySQL server, mysql* manifests have
# to be run from Keystone host
host = install and config['CONFIG_MYSQL_HOST'] \
or config['CONFIG_KEYSTONE_HOST']
manifestfile = "%s_mysql.pp" % host
manifestdata = [getManifestTemplate('mysql_%s.pp' % suffix)]
def append_for(module, suffix):
# Modules have to be appended to the existing mysql.pp
# otherwise pp will fail for some of them saying that
# Mysql::Config definition is missing.
template = "mysql_%s_%s.pp" % (module, suffix)
manifestdata.append(getManifestTemplate(template))
append_for("keystone", suffix)
hosts = set()
for mod in ['nova', 'cinder', 'glance', 'neutron', 'heat']:
if config['CONFIG_%s_INSTALL' % mod.upper()] == 'y':
append_for(mod, suffix)
# Check wich modules are enabled so we can allow their
# hosts on the firewall
if mod != 'nova' and mod != 'neutron':
hosts.add(config.get('CONFIG_%s_HOST' % mod.upper()).strip())
elif mod == 'neutron':
hosts.add(config.get('CONFIG_NEUTRON_SERVER_HOST').strip())
elif config['CONFIG_NOVA_INSTALL'] != 'n':
#In that remote case that we have lot's of nova hosts
hosts.add(config.get('CONFIG_NOVA_API_HOST').strip())
hosts.add(config.get('CONFIG_NOVA_CERT_HOST').strip())
hosts.add(config.get('CONFIG_NOVA_VNCPROXY_HOST').strip())
hosts.add(config.get('CONFIG_NOVA_CONDUCTOR_HOST').strip())
hosts.add(config.get('CONFIG_NOVA_SCHED_HOST').strip())
if config['CONFIG_NEUTRON_INSTALL'] != 'y':
dbhosts = split_hosts(config['CONFIG_NOVA_NETWORK_HOSTS'])
hosts |= dbhosts
for host in config.get('CONFIG_NOVA_COMPUTE_HOSTS').split(','):
hosts.add(host.strip())
config['FIREWALL_ALLOWED'] = ",".join(["'%s'" % i for i in hosts])
config['FIREWALL_SERVICE_NAME'] = "mysql"
config['FIREWALL_PORTS'] = "'3306'"
manifestdata.append(getManifestTemplate("firewall.pp"))
appendManifestFile(manifestfile, "\n".join(manifestdata), 'pre') |
<|file_name|>mysql_001.py<|end_file_name|><｜fim▁begin｜>"""
Installs and configures MySQL
"""
import uuid
import logging
from packstack.installer import validators
from packstack.installer import utils
from packstack.modules.ospluginutils import getManifestTemplate, appendManifestFile
# Controller object will be initialized from main flow
controller = None
# Plugin name
PLUGIN_NAME = "OS-MySQL"
PLUGIN_NAME_COLORED = utils.color_text(PLUGIN_NAME, 'blue')
logging.debug("plugin %s loaded", __name__)
def initConfig(controllerObject):
global controller
controller = controllerObject
logging.debug("Adding MySQL OpenStack configuration")
paramsList = [
{"CMD_OPTION" : "mysql-host",
"USAGE" : "The IP address of the server on which to install MySQL",
"PROMPT" : "Enter the IP address of the MySQL server",
"OPTION_LIST" : [],
"VALIDATORS" : [validators.validate_ssh],
"DEFAULT_VALUE" : utils.get_localhost_ip(),
"MASK_INPUT" : False,
"LOOSE_VALIDATION": True,
"CONF_NAME" : "CONFIG_MYSQL_HOST",
"USE_DEFAULT" : False,
"NEED_CONFIRM" : False,
"CONDITION" : False },
{"CMD_OPTION" : "mysql-user",
"USAGE" : "Username for the MySQL admin user",
"PROMPT" : "Enter the username for the MySQL admin user",
"OPTION_LIST" : [],
"VALIDATORS" : [validators.validate_not_empty],
"DEFAULT_VALUE" : "root",
"MASK_INPUT" : False,
"LOOSE_VALIDATION": False,
"CONF_NAME" : "CONFIG_MYSQL_USER",
"USE_DEFAULT" : True,
"NEED_CONFIRM" : False,
"CONDITION" : False },
{"CMD_OPTION" : "mysql-pw",
"USAGE" : "Password for the MySQL admin user",
"PROMPT" : "Enter the password for the MySQL admin user",
"OPTION_LIST" : [],
"VALIDATORS" : [validators.validate_not_empty],
"DEFAULT_VALUE" : uuid.uuid4().hex[:16],
"MASK_INPUT" : True,
"LOOSE_VALIDATION": True,
"CONF_NAME" : "CONFIG_MYSQL_PW",
"USE_DEFAULT" : False,
"NEED_CONFIRM" : True,
"CONDITION" : False },
]
groupDict = { "GROUP_NAME" : "MYSQL",
"DESCRIPTION" : "MySQL Config parameters",
"PRE_CONDITION" : lambda x: 'yes',
"PRE_CONDITION_MATCH" : "yes",
"POST_CONDITION" : False,
"POST_CONDITION_MATCH" : True}
controller.addGroup(groupDict, paramsList)
def initSequences(controller):
mysqlsteps = [
{'title': 'Adding MySQL manifest entries',
'functions':[createmanifest]}
]
controller.addSequence("Installing MySQL", [], [], mysqlsteps)
def createmanifest(config):
if config['CONFIG_MYSQL_INSTALL'] == 'y':
install = True
suffix = 'install'
else:
install = False
suffix = 'noinstall'
# In case we are not installing MySQL server, mysql* manifests have
# to be run from Keystone host
host = install and config['CONFIG_MYSQL_HOST'] \
or config['CONFIG_KEYSTONE_HOST']
manifestfile = "%s_mysql.pp" % host
manifestdata = [getManifestTemplate('mysql_%s.pp' % suffix)]
def append_for(module, suffix):
# Modules have to be appended to the existing mysql.pp
# otherwise pp will fail for some of them saying that
# Mysql::Config definition is missing.
<|fim_middle|>
append_for("keystone", suffix)
hosts = set()
for mod in ['nova', 'cinder', 'glance', 'neutron', 'heat']:
if config['CONFIG_%s_INSTALL' % mod.upper()] == 'y':
append_for(mod, suffix)
# Check wich modules are enabled so we can allow their
# hosts on the firewall
if mod != 'nova' and mod != 'neutron':
hosts.add(config.get('CONFIG_%s_HOST' % mod.upper()).strip())
elif mod == 'neutron':
hosts.add(config.get('CONFIG_NEUTRON_SERVER_HOST').strip())
elif config['CONFIG_NOVA_INSTALL'] != 'n':
#In that remote case that we have lot's of nova hosts
hosts.add(config.get('CONFIG_NOVA_API_HOST').strip())
hosts.add(config.get('CONFIG_NOVA_CERT_HOST').strip())
hosts.add(config.get('CONFIG_NOVA_VNCPROXY_HOST').strip())
hosts.add(config.get('CONFIG_NOVA_CONDUCTOR_HOST').strip())
hosts.add(config.get('CONFIG_NOVA_SCHED_HOST').strip())
if config['CONFIG_NEUTRON_INSTALL'] != 'y':
dbhosts = split_hosts(config['CONFIG_NOVA_NETWORK_HOSTS'])
hosts |= dbhosts
for host in config.get('CONFIG_NOVA_COMPUTE_HOSTS').split(','):
hosts.add(host.strip())
config['FIREWALL_ALLOWED'] = ",".join(["'%s'" % i for i in hosts])
config['FIREWALL_SERVICE_NAME'] = "mysql"
config['FIREWALL_PORTS'] = "'3306'"
manifestdata.append(getManifestTemplate("firewall.pp"))
appendManifestFile(manifestfile, "\n".join(manifestdata), 'pre')
<｜fim▁end｜> | template = "mysql_%s_%s.pp" % (module, suffix)
manifestdata.append(getManifestTemplate(template)) |
<|file_name|>mysql_001.py<|end_file_name|><｜fim▁begin｜>"""
Installs and configures MySQL
"""
import uuid
import logging
from packstack.installer import validators
from packstack.installer import utils
from packstack.modules.ospluginutils import getManifestTemplate, appendManifestFile
# Controller object will be initialized from main flow
controller = None
# Plugin name
PLUGIN_NAME = "OS-MySQL"
PLUGIN_NAME_COLORED = utils.color_text(PLUGIN_NAME, 'blue')
logging.debug("plugin %s loaded", __name__)
def initConfig(controllerObject):
global controller
controller = controllerObject
logging.debug("Adding MySQL OpenStack configuration")
paramsList = [
{"CMD_OPTION" : "mysql-host",
"USAGE" : "The IP address of the server on which to install MySQL",
"PROMPT" : "Enter the IP address of the MySQL server",
"OPTION_LIST" : [],
"VALIDATORS" : [validators.validate_ssh],
"DEFAULT_VALUE" : utils.get_localhost_ip(),
"MASK_INPUT" : False,
"LOOSE_VALIDATION": True,
"CONF_NAME" : "CONFIG_MYSQL_HOST",
"USE_DEFAULT" : False,
"NEED_CONFIRM" : False,
"CONDITION" : False },
{"CMD_OPTION" : "mysql-user",
"USAGE" : "Username for the MySQL admin user",
"PROMPT" : "Enter the username for the MySQL admin user",
"OPTION_LIST" : [],
"VALIDATORS" : [validators.validate_not_empty],
"DEFAULT_VALUE" : "root",
"MASK_INPUT" : False,
"LOOSE_VALIDATION": False,
"CONF_NAME" : "CONFIG_MYSQL_USER",
"USE_DEFAULT" : True,
"NEED_CONFIRM" : False,
"CONDITION" : False },
{"CMD_OPTION" : "mysql-pw",
"USAGE" : "Password for the MySQL admin user",
"PROMPT" : "Enter the password for the MySQL admin user",
"OPTION_LIST" : [],
"VALIDATORS" : [validators.validate_not_empty],
"DEFAULT_VALUE" : uuid.uuid4().hex[:16],
"MASK_INPUT" : True,
"LOOSE_VALIDATION": True,
"CONF_NAME" : "CONFIG_MYSQL_PW",
"USE_DEFAULT" : False,
"NEED_CONFIRM" : True,
"CONDITION" : False },
]
groupDict = { "GROUP_NAME" : "MYSQL",
"DESCRIPTION" : "MySQL Config parameters",
"PRE_CONDITION" : lambda x: 'yes',
"PRE_CONDITION_MATCH" : "yes",
"POST_CONDITION" : False,
"POST_CONDITION_MATCH" : True}
controller.addGroup(groupDict, paramsList)
def initSequences(controller):
mysqlsteps = [
{'title': 'Adding MySQL manifest entries',
'functions':[createmanifest]}
]
controller.addSequence("Installing MySQL", [], [], mysqlsteps)
def createmanifest(config):
if config['CONFIG_MYSQL_INSTALL'] == 'y':
<|fim_middle|>
else:
install = False
suffix = 'noinstall'
# In case we are not installing MySQL server, mysql* manifests have
# to be run from Keystone host
host = install and config['CONFIG_MYSQL_HOST'] \
or config['CONFIG_KEYSTONE_HOST']
manifestfile = "%s_mysql.pp" % host
manifestdata = [getManifestTemplate('mysql_%s.pp' % suffix)]
def append_for(module, suffix):
# Modules have to be appended to the existing mysql.pp
# otherwise pp will fail for some of them saying that
# Mysql::Config definition is missing.
template = "mysql_%s_%s.pp" % (module, suffix)
manifestdata.append(getManifestTemplate(template))
append_for("keystone", suffix)
hosts = set()
for mod in ['nova', 'cinder', 'glance', 'neutron', 'heat']:
if config['CONFIG_%s_INSTALL' % mod.upper()] == 'y':
append_for(mod, suffix)
# Check wich modules are enabled so we can allow their
# hosts on the firewall
if mod != 'nova' and mod != 'neutron':
hosts.add(config.get('CONFIG_%s_HOST' % mod.upper()).strip())
elif mod == 'neutron':
hosts.add(config.get('CONFIG_NEUTRON_SERVER_HOST').strip())
elif config['CONFIG_NOVA_INSTALL'] != 'n':
#In that remote case that we have lot's of nova hosts
hosts.add(config.get('CONFIG_NOVA_API_HOST').strip())
hosts.add(config.get('CONFIG_NOVA_CERT_HOST').strip())
hosts.add(config.get('CONFIG_NOVA_VNCPROXY_HOST').strip())
hosts.add(config.get('CONFIG_NOVA_CONDUCTOR_HOST').strip())
hosts.add(config.get('CONFIG_NOVA_SCHED_HOST').strip())
if config['CONFIG_NEUTRON_INSTALL'] != 'y':
dbhosts = split_hosts(config['CONFIG_NOVA_NETWORK_HOSTS'])
hosts |= dbhosts
for host in config.get('CONFIG_NOVA_COMPUTE_HOSTS').split(','):
hosts.add(host.strip())
config['FIREWALL_ALLOWED'] = ",".join(["'%s'" % i for i in hosts])
config['FIREWALL_SERVICE_NAME'] = "mysql"
config['FIREWALL_PORTS'] = "'3306'"
manifestdata.append(getManifestTemplate("firewall.pp"))
appendManifestFile(manifestfile, "\n".join(manifestdata), 'pre')
<｜fim▁end｜> | install = True
suffix = 'install' |
<|file_name|>mysql_001.py<|end_file_name|><｜fim▁begin｜>"""
Installs and configures MySQL
"""
import uuid
import logging
from packstack.installer import validators
from packstack.installer import utils
from packstack.modules.ospluginutils import getManifestTemplate, appendManifestFile
# Controller object will be initialized from main flow
controller = None
# Plugin name
PLUGIN_NAME = "OS-MySQL"
PLUGIN_NAME_COLORED = utils.color_text(PLUGIN_NAME, 'blue')
logging.debug("plugin %s loaded", __name__)
def initConfig(controllerObject):
global controller
controller = controllerObject
logging.debug("Adding MySQL OpenStack configuration")
paramsList = [
{"CMD_OPTION" : "mysql-host",
"USAGE" : "The IP address of the server on which to install MySQL",
"PROMPT" : "Enter the IP address of the MySQL server",
"OPTION_LIST" : [],
"VALIDATORS" : [validators.validate_ssh],
"DEFAULT_VALUE" : utils.get_localhost_ip(),
"MASK_INPUT" : False,
"LOOSE_VALIDATION": True,
"CONF_NAME" : "CONFIG_MYSQL_HOST",
"USE_DEFAULT" : False,
"NEED_CONFIRM" : False,
"CONDITION" : False },
{"CMD_OPTION" : "mysql-user",
"USAGE" : "Username for the MySQL admin user",
"PROMPT" : "Enter the username for the MySQL admin user",
"OPTION_LIST" : [],
"VALIDATORS" : [validators.validate_not_empty],
"DEFAULT_VALUE" : "root",
"MASK_INPUT" : False,
"LOOSE_VALIDATION": False,
"CONF_NAME" : "CONFIG_MYSQL_USER",
"USE_DEFAULT" : True,
"NEED_CONFIRM" : False,
"CONDITION" : False },
{"CMD_OPTION" : "mysql-pw",
"USAGE" : "Password for the MySQL admin user",
"PROMPT" : "Enter the password for the MySQL admin user",
"OPTION_LIST" : [],
"VALIDATORS" : [validators.validate_not_empty],
"DEFAULT_VALUE" : uuid.uuid4().hex[:16],
"MASK_INPUT" : True,
"LOOSE_VALIDATION": True,
"CONF_NAME" : "CONFIG_MYSQL_PW",
"USE_DEFAULT" : False,
"NEED_CONFIRM" : True,
"CONDITION" : False },
]
groupDict = { "GROUP_NAME" : "MYSQL",
"DESCRIPTION" : "MySQL Config parameters",
"PRE_CONDITION" : lambda x: 'yes',
"PRE_CONDITION_MATCH" : "yes",
"POST_CONDITION" : False,
"POST_CONDITION_MATCH" : True}
controller.addGroup(groupDict, paramsList)
def initSequences(controller):
mysqlsteps = [
{'title': 'Adding MySQL manifest entries',
'functions':[createmanifest]}
]
controller.addSequence("Installing MySQL", [], [], mysqlsteps)
def createmanifest(config):
if config['CONFIG_MYSQL_INSTALL'] == 'y':
install = True
suffix = 'install'
else:
<|fim_middle|>
# In case we are not installing MySQL server, mysql* manifests have
# to be run from Keystone host
host = install and config['CONFIG_MYSQL_HOST'] \
or config['CONFIG_KEYSTONE_HOST']
manifestfile = "%s_mysql.pp" % host
manifestdata = [getManifestTemplate('mysql_%s.pp' % suffix)]
def append_for(module, suffix):
# Modules have to be appended to the existing mysql.pp
# otherwise pp will fail for some of them saying that
# Mysql::Config definition is missing.
template = "mysql_%s_%s.pp" % (module, suffix)
manifestdata.append(getManifestTemplate(template))
append_for("keystone", suffix)
hosts = set()
for mod in ['nova', 'cinder', 'glance', 'neutron', 'heat']:
if config['CONFIG_%s_INSTALL' % mod.upper()] == 'y':
append_for(mod, suffix)
# Check wich modules are enabled so we can allow their
# hosts on the firewall
if mod != 'nova' and mod != 'neutron':
hosts.add(config.get('CONFIG_%s_HOST' % mod.upper()).strip())
elif mod == 'neutron':
hosts.add(config.get('CONFIG_NEUTRON_SERVER_HOST').strip())
elif config['CONFIG_NOVA_INSTALL'] != 'n':
#In that remote case that we have lot's of nova hosts
hosts.add(config.get('CONFIG_NOVA_API_HOST').strip())
hosts.add(config.get('CONFIG_NOVA_CERT_HOST').strip())
hosts.add(config.get('CONFIG_NOVA_VNCPROXY_HOST').strip())
hosts.add(config.get('CONFIG_NOVA_CONDUCTOR_HOST').strip())
hosts.add(config.get('CONFIG_NOVA_SCHED_HOST').strip())
if config['CONFIG_NEUTRON_INSTALL'] != 'y':
dbhosts = split_hosts(config['CONFIG_NOVA_NETWORK_HOSTS'])
hosts |= dbhosts
for host in config.get('CONFIG_NOVA_COMPUTE_HOSTS').split(','):
hosts.add(host.strip())
config['FIREWALL_ALLOWED'] = ",".join(["'%s'" % i for i in hosts])
config['FIREWALL_SERVICE_NAME'] = "mysql"
config['FIREWALL_PORTS'] = "'3306'"
manifestdata.append(getManifestTemplate("firewall.pp"))
appendManifestFile(manifestfile, "\n".join(manifestdata), 'pre')
<｜fim▁end｜> | install = False
suffix = 'noinstall' |
<|file_name|>mysql_001.py<|end_file_name|><｜fim▁begin｜>"""
Installs and configures MySQL
"""
import uuid
import logging
from packstack.installer import validators
from packstack.installer import utils
from packstack.modules.ospluginutils import getManifestTemplate, appendManifestFile
# Controller object will be initialized from main flow
controller = None
# Plugin name
PLUGIN_NAME = "OS-MySQL"
PLUGIN_NAME_COLORED = utils.color_text(PLUGIN_NAME, 'blue')
logging.debug("plugin %s loaded", __name__)
def initConfig(controllerObject):
global controller
controller = controllerObject
logging.debug("Adding MySQL OpenStack configuration")
paramsList = [
{"CMD_OPTION" : "mysql-host",
"USAGE" : "The IP address of the server on which to install MySQL",
"PROMPT" : "Enter the IP address of the MySQL server",
"OPTION_LIST" : [],
"VALIDATORS" : [validators.validate_ssh],
"DEFAULT_VALUE" : utils.get_localhost_ip(),
"MASK_INPUT" : False,
"LOOSE_VALIDATION": True,
"CONF_NAME" : "CONFIG_MYSQL_HOST",
"USE_DEFAULT" : False,
"NEED_CONFIRM" : False,
"CONDITION" : False },
{"CMD_OPTION" : "mysql-user",
"USAGE" : "Username for the MySQL admin user",
"PROMPT" : "Enter the username for the MySQL admin user",
"OPTION_LIST" : [],
"VALIDATORS" : [validators.validate_not_empty],
"DEFAULT_VALUE" : "root",
"MASK_INPUT" : False,
"LOOSE_VALIDATION": False,
"CONF_NAME" : "CONFIG_MYSQL_USER",
"USE_DEFAULT" : True,
"NEED_CONFIRM" : False,
"CONDITION" : False },
{"CMD_OPTION" : "mysql-pw",
"USAGE" : "Password for the MySQL admin user",
"PROMPT" : "Enter the password for the MySQL admin user",
"OPTION_LIST" : [],
"VALIDATORS" : [validators.validate_not_empty],
"DEFAULT_VALUE" : uuid.uuid4().hex[:16],
"MASK_INPUT" : True,
"LOOSE_VALIDATION": True,
"CONF_NAME" : "CONFIG_MYSQL_PW",
"USE_DEFAULT" : False,
"NEED_CONFIRM" : True,
"CONDITION" : False },
]
groupDict = { "GROUP_NAME" : "MYSQL",
"DESCRIPTION" : "MySQL Config parameters",
"PRE_CONDITION" : lambda x: 'yes',
"PRE_CONDITION_MATCH" : "yes",
"POST_CONDITION" : False,
"POST_CONDITION_MATCH" : True}
controller.addGroup(groupDict, paramsList)
def initSequences(controller):
mysqlsteps = [
{'title': 'Adding MySQL manifest entries',
'functions':[createmanifest]}
]
controller.addSequence("Installing MySQL", [], [], mysqlsteps)
def createmanifest(config):
if config['CONFIG_MYSQL_INSTALL'] == 'y':
install = True
suffix = 'install'
else:
install = False
suffix = 'noinstall'
# In case we are not installing MySQL server, mysql* manifests have
# to be run from Keystone host
host = install and config['CONFIG_MYSQL_HOST'] \
or config['CONFIG_KEYSTONE_HOST']
manifestfile = "%s_mysql.pp" % host
manifestdata = [getManifestTemplate('mysql_%s.pp' % suffix)]
def append_for(module, suffix):
# Modules have to be appended to the existing mysql.pp
# otherwise pp will fail for some of them saying that
# Mysql::Config definition is missing.
template = "mysql_%s_%s.pp" % (module, suffix)
manifestdata.append(getManifestTemplate(template))
append_for("keystone", suffix)
hosts = set()
for mod in ['nova', 'cinder', 'glance', 'neutron', 'heat']:
if config['CONFIG_%s_INSTALL' % mod.upper()] == 'y':
<|fim_middle|>
config['FIREWALL_ALLOWED'] = ",".join(["'%s'" % i for i in hosts])
config['FIREWALL_SERVICE_NAME'] = "mysql"
config['FIREWALL_PORTS'] = "'3306'"
manifestdata.append(getManifestTemplate("firewall.pp"))
appendManifestFile(manifestfile, "\n".join(manifestdata), 'pre')
<｜fim▁end｜> | append_for(mod, suffix)
# Check wich modules are enabled so we can allow their
# hosts on the firewall
if mod != 'nova' and mod != 'neutron':
hosts.add(config.get('CONFIG_%s_HOST' % mod.upper()).strip())
elif mod == 'neutron':
hosts.add(config.get('CONFIG_NEUTRON_SERVER_HOST').strip())
elif config['CONFIG_NOVA_INSTALL'] != 'n':
#In that remote case that we have lot's of nova hosts
hosts.add(config.get('CONFIG_NOVA_API_HOST').strip())
hosts.add(config.get('CONFIG_NOVA_CERT_HOST').strip())
hosts.add(config.get('CONFIG_NOVA_VNCPROXY_HOST').strip())
hosts.add(config.get('CONFIG_NOVA_CONDUCTOR_HOST').strip())
hosts.add(config.get('CONFIG_NOVA_SCHED_HOST').strip())
if config['CONFIG_NEUTRON_INSTALL'] != 'y':
dbhosts = split_hosts(config['CONFIG_NOVA_NETWORK_HOSTS'])
hosts |= dbhosts
for host in config.get('CONFIG_NOVA_COMPUTE_HOSTS').split(','):
hosts.add(host.strip()) |
<|file_name|>mysql_001.py<|end_file_name|><｜fim▁begin｜>"""
Installs and configures MySQL
"""
import uuid
import logging
from packstack.installer import validators
from packstack.installer import utils
from packstack.modules.ospluginutils import getManifestTemplate, appendManifestFile
# Controller object will be initialized from main flow
controller = None
# Plugin name
PLUGIN_NAME = "OS-MySQL"
PLUGIN_NAME_COLORED = utils.color_text(PLUGIN_NAME, 'blue')
logging.debug("plugin %s loaded", __name__)
def initConfig(controllerObject):
global controller
controller = controllerObject
logging.debug("Adding MySQL OpenStack configuration")
paramsList = [
{"CMD_OPTION" : "mysql-host",
"USAGE" : "The IP address of the server on which to install MySQL",
"PROMPT" : "Enter the IP address of the MySQL server",
"OPTION_LIST" : [],
"VALIDATORS" : [validators.validate_ssh],
"DEFAULT_VALUE" : utils.get_localhost_ip(),
"MASK_INPUT" : False,
"LOOSE_VALIDATION": True,
"CONF_NAME" : "CONFIG_MYSQL_HOST",
"USE_DEFAULT" : False,
"NEED_CONFIRM" : False,
"CONDITION" : False },
{"CMD_OPTION" : "mysql-user",
"USAGE" : "Username for the MySQL admin user",
"PROMPT" : "Enter the username for the MySQL admin user",
"OPTION_LIST" : [],
"VALIDATORS" : [validators.validate_not_empty],
"DEFAULT_VALUE" : "root",
"MASK_INPUT" : False,
"LOOSE_VALIDATION": False,
"CONF_NAME" : "CONFIG_MYSQL_USER",
"USE_DEFAULT" : True,
"NEED_CONFIRM" : False,
"CONDITION" : False },
{"CMD_OPTION" : "mysql-pw",
"USAGE" : "Password for the MySQL admin user",
"PROMPT" : "Enter the password for the MySQL admin user",
"OPTION_LIST" : [],
"VALIDATORS" : [validators.validate_not_empty],
"DEFAULT_VALUE" : uuid.uuid4().hex[:16],
"MASK_INPUT" : True,
"LOOSE_VALIDATION": True,
"CONF_NAME" : "CONFIG_MYSQL_PW",
"USE_DEFAULT" : False,
"NEED_CONFIRM" : True,
"CONDITION" : False },
]
groupDict = { "GROUP_NAME" : "MYSQL",
"DESCRIPTION" : "MySQL Config parameters",
"PRE_CONDITION" : lambda x: 'yes',
"PRE_CONDITION_MATCH" : "yes",
"POST_CONDITION" : False,
"POST_CONDITION_MATCH" : True}
controller.addGroup(groupDict, paramsList)
def initSequences(controller):
mysqlsteps = [
{'title': 'Adding MySQL manifest entries',
'functions':[createmanifest]}
]
controller.addSequence("Installing MySQL", [], [], mysqlsteps)
def createmanifest(config):
if config['CONFIG_MYSQL_INSTALL'] == 'y':
install = True
suffix = 'install'
else:
install = False
suffix = 'noinstall'
# In case we are not installing MySQL server, mysql* manifests have
# to be run from Keystone host
host = install and config['CONFIG_MYSQL_HOST'] \
or config['CONFIG_KEYSTONE_HOST']
manifestfile = "%s_mysql.pp" % host
manifestdata = [getManifestTemplate('mysql_%s.pp' % suffix)]
def append_for(module, suffix):
# Modules have to be appended to the existing mysql.pp
# otherwise pp will fail for some of them saying that
# Mysql::Config definition is missing.
template = "mysql_%s_%s.pp" % (module, suffix)
manifestdata.append(getManifestTemplate(template))
append_for("keystone", suffix)
hosts = set()
for mod in ['nova', 'cinder', 'glance', 'neutron', 'heat']:
if config['CONFIG_%s_INSTALL' % mod.upper()] == 'y':
append_for(mod, suffix)
# Check wich modules are enabled so we can allow their
# hosts on the firewall
if mod != 'nova' and mod != 'neutron':
<|fim_middle|>
elif mod == 'neutron':
hosts.add(config.get('CONFIG_NEUTRON_SERVER_HOST').strip())
elif config['CONFIG_NOVA_INSTALL'] != 'n':
#In that remote case that we have lot's of nova hosts
hosts.add(config.get('CONFIG_NOVA_API_HOST').strip())
hosts.add(config.get('CONFIG_NOVA_CERT_HOST').strip())
hosts.add(config.get('CONFIG_NOVA_VNCPROXY_HOST').strip())
hosts.add(config.get('CONFIG_NOVA_CONDUCTOR_HOST').strip())
hosts.add(config.get('CONFIG_NOVA_SCHED_HOST').strip())
if config['CONFIG_NEUTRON_INSTALL'] != 'y':
dbhosts = split_hosts(config['CONFIG_NOVA_NETWORK_HOSTS'])
hosts |= dbhosts
for host in config.get('CONFIG_NOVA_COMPUTE_HOSTS').split(','):
hosts.add(host.strip())
config['FIREWALL_ALLOWED'] = ",".join(["'%s'" % i for i in hosts])
config['FIREWALL_SERVICE_NAME'] = "mysql"
config['FIREWALL_PORTS'] = "'3306'"
manifestdata.append(getManifestTemplate("firewall.pp"))
appendManifestFile(manifestfile, "\n".join(manifestdata), 'pre')
<｜fim▁end｜> | hosts.add(config.get('CONFIG_%s_HOST' % mod.upper()).strip()) |
<|file_name|>mysql_001.py<|end_file_name|><｜fim▁begin｜>"""
Installs and configures MySQL
"""
import uuid
import logging
from packstack.installer import validators
from packstack.installer import utils
from packstack.modules.ospluginutils import getManifestTemplate, appendManifestFile
# Controller object will be initialized from main flow
controller = None
# Plugin name
PLUGIN_NAME = "OS-MySQL"
PLUGIN_NAME_COLORED = utils.color_text(PLUGIN_NAME, 'blue')
logging.debug("plugin %s loaded", __name__)
def initConfig(controllerObject):
global controller
controller = controllerObject
logging.debug("Adding MySQL OpenStack configuration")
paramsList = [
{"CMD_OPTION" : "mysql-host",
"USAGE" : "The IP address of the server on which to install MySQL",
"PROMPT" : "Enter the IP address of the MySQL server",
"OPTION_LIST" : [],
"VALIDATORS" : [validators.validate_ssh],
"DEFAULT_VALUE" : utils.get_localhost_ip(),
"MASK_INPUT" : False,
"LOOSE_VALIDATION": True,
"CONF_NAME" : "CONFIG_MYSQL_HOST",
"USE_DEFAULT" : False,
"NEED_CONFIRM" : False,
"CONDITION" : False },
{"CMD_OPTION" : "mysql-user",
"USAGE" : "Username for the MySQL admin user",
"PROMPT" : "Enter the username for the MySQL admin user",
"OPTION_LIST" : [],
"VALIDATORS" : [validators.validate_not_empty],
"DEFAULT_VALUE" : "root",
"MASK_INPUT" : False,
"LOOSE_VALIDATION": False,
"CONF_NAME" : "CONFIG_MYSQL_USER",
"USE_DEFAULT" : True,
"NEED_CONFIRM" : False,
"CONDITION" : False },
{"CMD_OPTION" : "mysql-pw",
"USAGE" : "Password for the MySQL admin user",
"PROMPT" : "Enter the password for the MySQL admin user",
"OPTION_LIST" : [],
"VALIDATORS" : [validators.validate_not_empty],
"DEFAULT_VALUE" : uuid.uuid4().hex[:16],
"MASK_INPUT" : True,
"LOOSE_VALIDATION": True,
"CONF_NAME" : "CONFIG_MYSQL_PW",
"USE_DEFAULT" : False,
"NEED_CONFIRM" : True,
"CONDITION" : False },
]
groupDict = { "GROUP_NAME" : "MYSQL",
"DESCRIPTION" : "MySQL Config parameters",
"PRE_CONDITION" : lambda x: 'yes',
"PRE_CONDITION_MATCH" : "yes",
"POST_CONDITION" : False,
"POST_CONDITION_MATCH" : True}
controller.addGroup(groupDict, paramsList)
def initSequences(controller):
mysqlsteps = [
{'title': 'Adding MySQL manifest entries',
'functions':[createmanifest]}
]
controller.addSequence("Installing MySQL", [], [], mysqlsteps)
def createmanifest(config):
if config['CONFIG_MYSQL_INSTALL'] == 'y':
install = True
suffix = 'install'
else:
install = False
suffix = 'noinstall'
# In case we are not installing MySQL server, mysql* manifests have
# to be run from Keystone host
host = install and config['CONFIG_MYSQL_HOST'] \
or config['CONFIG_KEYSTONE_HOST']
manifestfile = "%s_mysql.pp" % host
manifestdata = [getManifestTemplate('mysql_%s.pp' % suffix)]
def append_for(module, suffix):
# Modules have to be appended to the existing mysql.pp
# otherwise pp will fail for some of them saying that
# Mysql::Config definition is missing.
template = "mysql_%s_%s.pp" % (module, suffix)
manifestdata.append(getManifestTemplate(template))
append_for("keystone", suffix)
hosts = set()
for mod in ['nova', 'cinder', 'glance', 'neutron', 'heat']:
if config['CONFIG_%s_INSTALL' % mod.upper()] == 'y':
append_for(mod, suffix)
# Check wich modules are enabled so we can allow their
# hosts on the firewall
if mod != 'nova' and mod != 'neutron':
hosts.add(config.get('CONFIG_%s_HOST' % mod.upper()).strip())
elif mod == 'neutron':
<|fim_middle|>
elif config['CONFIG_NOVA_INSTALL'] != 'n':
#In that remote case that we have lot's of nova hosts
hosts.add(config.get('CONFIG_NOVA_API_HOST').strip())
hosts.add(config.get('CONFIG_NOVA_CERT_HOST').strip())
hosts.add(config.get('CONFIG_NOVA_VNCPROXY_HOST').strip())
hosts.add(config.get('CONFIG_NOVA_CONDUCTOR_HOST').strip())
hosts.add(config.get('CONFIG_NOVA_SCHED_HOST').strip())
if config['CONFIG_NEUTRON_INSTALL'] != 'y':
dbhosts = split_hosts(config['CONFIG_NOVA_NETWORK_HOSTS'])
hosts |= dbhosts
for host in config.get('CONFIG_NOVA_COMPUTE_HOSTS').split(','):
hosts.add(host.strip())
config['FIREWALL_ALLOWED'] = ",".join(["'%s'" % i for i in hosts])
config['FIREWALL_SERVICE_NAME'] = "mysql"
config['FIREWALL_PORTS'] = "'3306'"
manifestdata.append(getManifestTemplate("firewall.pp"))
appendManifestFile(manifestfile, "\n".join(manifestdata), 'pre')
<｜fim▁end｜> | hosts.add(config.get('CONFIG_NEUTRON_SERVER_HOST').strip()) |
<|file_name|>mysql_001.py<|end_file_name|><｜fim▁begin｜>"""
Installs and configures MySQL
"""
import uuid
import logging
from packstack.installer import validators
from packstack.installer import utils
from packstack.modules.ospluginutils import getManifestTemplate, appendManifestFile
# Controller object will be initialized from main flow
controller = None
# Plugin name
PLUGIN_NAME = "OS-MySQL"
PLUGIN_NAME_COLORED = utils.color_text(PLUGIN_NAME, 'blue')
logging.debug("plugin %s loaded", __name__)
def initConfig(controllerObject):
global controller
controller = controllerObject
logging.debug("Adding MySQL OpenStack configuration")
paramsList = [
{"CMD_OPTION" : "mysql-host",
"USAGE" : "The IP address of the server on which to install MySQL",
"PROMPT" : "Enter the IP address of the MySQL server",
"OPTION_LIST" : [],
"VALIDATORS" : [validators.validate_ssh],
"DEFAULT_VALUE" : utils.get_localhost_ip(),
"MASK_INPUT" : False,
"LOOSE_VALIDATION": True,
"CONF_NAME" : "CONFIG_MYSQL_HOST",
"USE_DEFAULT" : False,
"NEED_CONFIRM" : False,
"CONDITION" : False },
{"CMD_OPTION" : "mysql-user",
"USAGE" : "Username for the MySQL admin user",
"PROMPT" : "Enter the username for the MySQL admin user",
"OPTION_LIST" : [],
"VALIDATORS" : [validators.validate_not_empty],
"DEFAULT_VALUE" : "root",
"MASK_INPUT" : False,
"LOOSE_VALIDATION": False,
"CONF_NAME" : "CONFIG_MYSQL_USER",
"USE_DEFAULT" : True,
"NEED_CONFIRM" : False,
"CONDITION" : False },
{"CMD_OPTION" : "mysql-pw",
"USAGE" : "Password for the MySQL admin user",
"PROMPT" : "Enter the password for the MySQL admin user",
"OPTION_LIST" : [],
"VALIDATORS" : [validators.validate_not_empty],
"DEFAULT_VALUE" : uuid.uuid4().hex[:16],
"MASK_INPUT" : True,
"LOOSE_VALIDATION": True,
"CONF_NAME" : "CONFIG_MYSQL_PW",
"USE_DEFAULT" : False,
"NEED_CONFIRM" : True,
"CONDITION" : False },
]
groupDict = { "GROUP_NAME" : "MYSQL",
"DESCRIPTION" : "MySQL Config parameters",
"PRE_CONDITION" : lambda x: 'yes',
"PRE_CONDITION_MATCH" : "yes",
"POST_CONDITION" : False,
"POST_CONDITION_MATCH" : True}
controller.addGroup(groupDict, paramsList)
def initSequences(controller):
mysqlsteps = [
{'title': 'Adding MySQL manifest entries',
'functions':[createmanifest]}
]
controller.addSequence("Installing MySQL", [], [], mysqlsteps)
def createmanifest(config):
if config['CONFIG_MYSQL_INSTALL'] == 'y':
install = True
suffix = 'install'
else:
install = False
suffix = 'noinstall'
# In case we are not installing MySQL server, mysql* manifests have
# to be run from Keystone host
host = install and config['CONFIG_MYSQL_HOST'] \
or config['CONFIG_KEYSTONE_HOST']
manifestfile = "%s_mysql.pp" % host
manifestdata = [getManifestTemplate('mysql_%s.pp' % suffix)]
def append_for(module, suffix):
# Modules have to be appended to the existing mysql.pp
# otherwise pp will fail for some of them saying that
# Mysql::Config definition is missing.
template = "mysql_%s_%s.pp" % (module, suffix)
manifestdata.append(getManifestTemplate(template))
append_for("keystone", suffix)
hosts = set()
for mod in ['nova', 'cinder', 'glance', 'neutron', 'heat']:
if config['CONFIG_%s_INSTALL' % mod.upper()] == 'y':
append_for(mod, suffix)
# Check wich modules are enabled so we can allow their
# hosts on the firewall
if mod != 'nova' and mod != 'neutron':
hosts.add(config.get('CONFIG_%s_HOST' % mod.upper()).strip())
elif mod == 'neutron':
hosts.add(config.get('CONFIG_NEUTRON_SERVER_HOST').strip())
elif config['CONFIG_NOVA_INSTALL'] != 'n':
#In that remote case that we have lot's of nova hosts
<|fim_middle|>
config['FIREWALL_ALLOWED'] = ",".join(["'%s'" % i for i in hosts])
config['FIREWALL_SERVICE_NAME'] = "mysql"
config['FIREWALL_PORTS'] = "'3306'"
manifestdata.append(getManifestTemplate("firewall.pp"))
appendManifestFile(manifestfile, "\n".join(manifestdata), 'pre')
<｜fim▁end｜> | hosts.add(config.get('CONFIG_NOVA_API_HOST').strip())
hosts.add(config.get('CONFIG_NOVA_CERT_HOST').strip())
hosts.add(config.get('CONFIG_NOVA_VNCPROXY_HOST').strip())
hosts.add(config.get('CONFIG_NOVA_CONDUCTOR_HOST').strip())
hosts.add(config.get('CONFIG_NOVA_SCHED_HOST').strip())
if config['CONFIG_NEUTRON_INSTALL'] != 'y':
dbhosts = split_hosts(config['CONFIG_NOVA_NETWORK_HOSTS'])
hosts |= dbhosts
for host in config.get('CONFIG_NOVA_COMPUTE_HOSTS').split(','):
hosts.add(host.strip()) |
<|file_name|>mysql_001.py<|end_file_name|><｜fim▁begin｜>"""
Installs and configures MySQL
"""
import uuid
import logging
from packstack.installer import validators
from packstack.installer import utils
from packstack.modules.ospluginutils import getManifestTemplate, appendManifestFile
# Controller object will be initialized from main flow
controller = None
# Plugin name
PLUGIN_NAME = "OS-MySQL"
PLUGIN_NAME_COLORED = utils.color_text(PLUGIN_NAME, 'blue')
logging.debug("plugin %s loaded", __name__)
def initConfig(controllerObject):
global controller
controller = controllerObject
logging.debug("Adding MySQL OpenStack configuration")
paramsList = [
{"CMD_OPTION" : "mysql-host",
"USAGE" : "The IP address of the server on which to install MySQL",
"PROMPT" : "Enter the IP address of the MySQL server",
"OPTION_LIST" : [],
"VALIDATORS" : [validators.validate_ssh],
"DEFAULT_VALUE" : utils.get_localhost_ip(),
"MASK_INPUT" : False,
"LOOSE_VALIDATION": True,
"CONF_NAME" : "CONFIG_MYSQL_HOST",
"USE_DEFAULT" : False,
"NEED_CONFIRM" : False,
"CONDITION" : False },
{"CMD_OPTION" : "mysql-user",
"USAGE" : "Username for the MySQL admin user",
"PROMPT" : "Enter the username for the MySQL admin user",
"OPTION_LIST" : [],
"VALIDATORS" : [validators.validate_not_empty],
"DEFAULT_VALUE" : "root",
"MASK_INPUT" : False,
"LOOSE_VALIDATION": False,
"CONF_NAME" : "CONFIG_MYSQL_USER",
"USE_DEFAULT" : True,
"NEED_CONFIRM" : False,
"CONDITION" : False },
{"CMD_OPTION" : "mysql-pw",
"USAGE" : "Password for the MySQL admin user",
"PROMPT" : "Enter the password for the MySQL admin user",
"OPTION_LIST" : [],
"VALIDATORS" : [validators.validate_not_empty],
"DEFAULT_VALUE" : uuid.uuid4().hex[:16],
"MASK_INPUT" : True,
"LOOSE_VALIDATION": True,
"CONF_NAME" : "CONFIG_MYSQL_PW",
"USE_DEFAULT" : False,
"NEED_CONFIRM" : True,
"CONDITION" : False },
]
groupDict = { "GROUP_NAME" : "MYSQL",
"DESCRIPTION" : "MySQL Config parameters",
"PRE_CONDITION" : lambda x: 'yes',
"PRE_CONDITION_MATCH" : "yes",
"POST_CONDITION" : False,
"POST_CONDITION_MATCH" : True}
controller.addGroup(groupDict, paramsList)
def initSequences(controller):
mysqlsteps = [
{'title': 'Adding MySQL manifest entries',
'functions':[createmanifest]}
]
controller.addSequence("Installing MySQL", [], [], mysqlsteps)
def createmanifest(config):
if config['CONFIG_MYSQL_INSTALL'] == 'y':
install = True
suffix = 'install'
else:
install = False
suffix = 'noinstall'
# In case we are not installing MySQL server, mysql* manifests have
# to be run from Keystone host
host = install and config['CONFIG_MYSQL_HOST'] \
or config['CONFIG_KEYSTONE_HOST']
manifestfile = "%s_mysql.pp" % host
manifestdata = [getManifestTemplate('mysql_%s.pp' % suffix)]
def append_for(module, suffix):
# Modules have to be appended to the existing mysql.pp
# otherwise pp will fail for some of them saying that
# Mysql::Config definition is missing.
template = "mysql_%s_%s.pp" % (module, suffix)
manifestdata.append(getManifestTemplate(template))
append_for("keystone", suffix)
hosts = set()
for mod in ['nova', 'cinder', 'glance', 'neutron', 'heat']:
if config['CONFIG_%s_INSTALL' % mod.upper()] == 'y':
append_for(mod, suffix)
# Check wich modules are enabled so we can allow their
# hosts on the firewall
if mod != 'nova' and mod != 'neutron':
hosts.add(config.get('CONFIG_%s_HOST' % mod.upper()).strip())
elif mod == 'neutron':
hosts.add(config.get('CONFIG_NEUTRON_SERVER_HOST').strip())
elif config['CONFIG_NOVA_INSTALL'] != 'n':
#In that remote case that we have lot's of nova hosts
hosts.add(config.get('CONFIG_NOVA_API_HOST').strip())
hosts.add(config.get('CONFIG_NOVA_CERT_HOST').strip())
hosts.add(config.get('CONFIG_NOVA_VNCPROXY_HOST').strip())
hosts.add(config.get('CONFIG_NOVA_CONDUCTOR_HOST').strip())
hosts.add(config.get('CONFIG_NOVA_SCHED_HOST').strip())
if config['CONFIG_NEUTRON_INSTALL'] != 'y':
<|fim_middle|>
for host in config.get('CONFIG_NOVA_COMPUTE_HOSTS').split(','):
hosts.add(host.strip())
config['FIREWALL_ALLOWED'] = ",".join(["'%s'" % i for i in hosts])
config['FIREWALL_SERVICE_NAME'] = "mysql"
config['FIREWALL_PORTS'] = "'3306'"
manifestdata.append(getManifestTemplate("firewall.pp"))
appendManifestFile(manifestfile, "\n".join(manifestdata), 'pre')
<｜fim▁end｜> | dbhosts = split_hosts(config['CONFIG_NOVA_NETWORK_HOSTS'])
hosts |= dbhosts |
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