id stringlengths 1 265 | text stringlengths 6 5.19M | dataset_id stringclasses 7
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/KratosShallowWaterApplication-9.4-cp311-cp311-win_amd64.whl/KratosMultiphysics/ShallowWaterApplication/coupling/read_from_sw_interface_process.py | import KratosMultiphysics as KM
import KratosMultiphysics.ShallowWaterApplication as SW
import KratosMultiphysics.MappingApplication as Mapping
from KratosMultiphysics.kratos_utilities import GenerateVariableListFromInput
from KratosMultiphysics.HDF5Application import import_model_part_from_hdf5_process
from KratosMultiphysics.HDF5Application import single_mesh_temporal_input_process
from os.path import commonprefix
from pathlib import Path
def Factory(settings, model):
if not isinstance(settings, KM.Parameters):
raise Exception("expected input shall be a Parameters object, encapsulating a json string")
return ReadFromSwInterfaceProcess(model, settings["Parameters"])
class ReadFromSwInterfaceProcess(KM.Process):
"""ReadFromSwInterfaceProcess
Read the depth integrated values from an HDF5 file and set them as boundary conditions.
"""
def GetDefaultParameters(self):
default_parameters = KM.Parameters("""{
"interface_model_part_name" : "",
"input_model_part_name" : "input_model_part",
"read_historical_database" : false,
"interval" : [0.0,"End"],
"list_of_variables" : ["MOMENTUM"],
"list_of_variables_to_fix" : ["MOMENTUM_X","MOMENTUM_Y"],
"default_time_after_interval" : null,
"semi_period_after_interval" : 1.0,
"swap_yz_axis" : false,
"ignore_vertical_component" : true,
"file_settings" : {}
}""")
if self.settings.Has("default_time_after_interval"):
if self.settings["default_time_after_interval"].IsDouble():
default_parameters["default_time_after_interval"].SetDouble(0.0)
return default_parameters
def __init__(self, model, settings):
"""The constructor of the ReadFromSwInterfaceProcess."""
KM.Process.__init__(self)
self.settings = settings
self.settings.ValidateAndAssignDefaults(self.GetDefaultParameters())
self.interface_model_part = model[self.settings["interface_model_part_name"].GetString()]
self.input_model_part = model.CreateModelPart(self.settings["input_model_part_name"].GetString())
self.interpolate_sw_to_pfem_utility = SW.InterpolateSwToPfemUtility()
self.interval = KM.IntervalUtility(self.settings)
self.variables = GenerateVariableListFromInput(self.settings["list_of_variables"])
self.variables_to_fix = GenerateVariableListFromInput(self.settings["list_of_variables_to_fix"])
self.hdf5_import = import_model_part_from_hdf5_process.Factory(self._CreateHDF5Parameters(), model)
self.hdf5_process = single_mesh_temporal_input_process.Factory(self._CreateHDF5Parameters(), model)
self._GetInputTimes(self.settings['file_settings'])
def Check(self):
'''Check the processes.'''
self.hdf5_import.Check()
self.hdf5_process.Check()
free_surface_is_present = False
height_is_present = False
for variable in self.variables:
if variable == SW.FREE_SURFACE_ELEVATION:
free_surface_is_present = True
if variable == SW.HEIGHT:
height_is_present = True
if free_surface_is_present and not height_is_present:
self.variables.append(SW.HEIGHT)
def ExecuteInitialize(self):
'''Read the input_model_part and set the variables.'''
self.hdf5_import.ExecuteInitialize()
self._CheckInputCoordinates()
self.FindPfemHeight()
self._CheckInputVariables()
def ExecuteInitializeSolutionStep(self):
'''Set the variables in the input_model_part at the current time.'''
current_time = self.interface_model_part.ProcessInfo.GetValue(KM.TIME)
if self.interval.IsInInterval(current_time):
self._SetCurrentTime()
self.hdf5_process.ExecuteInitializeSolutionStep()
self.ComputeAverageValues()
self._CheckInputVariables()
self.DistributeVelocityToPfem()
else:
if self.settings["default_time_after_interval"] is not None:
self._SetDefaultTime()
self.hdf5_process.ExecuteInitializeSolutionStep()
self.ComputeAverageValues()
self._CheckInputVariables()
self.DistributeVelocityToPfem()
self._SmoothDefaultValue()
def ComputeAverageValues(self):
if self.interface_model_part.ProcessInfo[KM.DOMAIN_SIZE] == 2:
avg_vel_x = 0.0
avg_h = 0.0
avg_vel_z = 0.0
n = 0
for node in self.input_model_part.Nodes:
n = n+1
avg_h = avg_h + node.GetValue(SW.HEIGHT)
avg_vel_x = avg_vel_x + node.GetValue(KM.VELOCITY_X)
avg_vel_z = avg_vel_z + node.GetValue(SW.VERTICAL_VELOCITY)
self.avg_h = avg_h/n
self.avg_vel_x = avg_vel_x/n
self.avg_vel_z = avg_vel_z/n
def FindPfemHeight(self):
if self.interface_model_part.ProcessInfo[KM.DOMAIN_SIZE] == 2:
ymin = 1e32
ymax = -1e32
for node in self.interface_model_part.Nodes:
if node.Y < ymin:
ymin = node.Y
if node.Y > ymax:
ymax = node.Y
self.h_pfem = ymax - ymin
self.y_bottom = ymin
if self.interface_model_part.ProcessInfo[KM.DOMAIN_SIZE] == 3:
zmax = -1e32
for node in self.interface_model_part.Nodes:
if node.Z > zmax:
zmax = node.Z
self.z_top = zmax
def DistributeVelocityToPfem(self):
if self.interface_model_part.ProcessInfo[KM.DOMAIN_SIZE] == 2:
self.Moving_v()
if self.interface_model_part.ProcessInfo[KM.DOMAIN_SIZE] == 3:
self.interpolate_sw_to_pfem_utility.InterpolateVariables(self.interface_model_part,self.input_model_part)
for node in self.interface_model_part.Nodes:
node_topography = node.GetValue(SW.TOPOGRAPHY)
self.h_pfem = -node_topography
self.z_bottom = self.z_top + node_topography
self.height = node.GetValue(SW.HEIGHT)
node.Z = (node.Z0 - self.z_bottom)*self.height/self.h_pfem + self.z_bottom
displacement = node.Z - node.Z0
node.SetSolutionStepValue(KM.DISPLACEMENT_Z, displacement)
self.vel_z = node.GetValue(SW.VERTICAL_VELOCITY)
vel_z_var = (node.Z - self.z_bottom)/self.height*self.vel_z
vel_x = node.GetValue(KM.VELOCITY_X)
vel_y = node.GetValue(KM.VELOCITY_Y)
node.SetSolutionStepValue(KM.VELOCITY_X, vel_x)
node.SetSolutionStepValue(KM.VELOCITY_Y, vel_y)
node.SetSolutionStepValue(KM.VELOCITY_Z, vel_z_var)
def Fixed_v0(self):
self.avg_vel_z = 0.0
self.vel_pfem = self.avg_vel_x*self.avg_h/self.h_pfem
self.vel_pfem_z = self.avg_vel_z*self.avg_h/self.h_pfem
for node in self.interface_model_part.Nodes:
vel_z_var = self.vel_pfem_z*(node.Y - self.y_bottom)/self.h_pfem
node.SetSolutionStepValue(KM.VELOCITY_X, self.vel_pfem)
node.SetSolutionStepValue(KM.VELOCITY_Y, vel_z_var)
def Fixed_v(self):
self.vel_pfem = self.avg_vel_x*self.avg_h/self.h_pfem
self.vel_pfem_z = self.avg_vel_z*self.avg_h/self.h_pfem
for node in self.interface_model_part.Nodes:
vel_z_var = self.vel_pfem_z*(node.Y - self.y_bottom)/self.h_pfem
node.SetSolutionStepValue(KM.VELOCITY_X, self.vel_pfem)
node.SetSolutionStepValue(KM.VELOCITY_Y, vel_z_var)
def Moving_v0(self):
for node in self.interface_model_part.Nodes:
node.Y = (node.Y0 - self.y_bottom)*self.avg_h/self.h_pfem + self.y_bottom
displacement = node.Y - node.Y0
node.SetSolutionStepValue(KM.DISPLACEMENT_Y, displacement)
vel_z_var = 0.0
node.SetSolutionStepValue(KM.VELOCITY_X, self.avg_vel_x)
node.SetSolutionStepValue(KM.VELOCITY_Y, vel_z_var)
def Moving_v(self):
for node in self.interface_model_part.Nodes:
node.Y = (node.Y0 - self.y_bottom)*self.avg_h/self.h_pfem + self.y_bottom
displacement = node.Y - node.Y0
node.SetSolutionStepValue(KM.DISPLACEMENT_Y, displacement)
vel_z_var = self.avg_vel_z*(node.Y - self.y_bottom)/self.avg_h
node.SetSolutionStepValue(KM.VELOCITY_X, self.avg_vel_x)
node.SetSolutionStepValue(KM.VELOCITY_Y, vel_z_var)
def _GetInputTimes(self, file_settings):
# Get all the file names
file = Path(file_settings["file_name"].GetString())
directory = file.parent
file_names = [str(f) for f in directory.glob("*.h5")]
if len(file_names) == 0:
msg = self.__class__.__name__ + ": The specified path is empty or does not exist: '{}'"
raise Exception(msg.format(directory))
# Find the common parts (prefix and suffix) of the found names and the file pattern
# The different part is the time, we need to store all the available times
file_pattern = str(file).replace('<model_part_name>', self.input_model_part.Name)
prefix = commonprefix([file_pattern, file_names[0]])
suffix = commonprefix([''.join(reversed(file_pattern)), ''.join(reversed(file_names[0]))])
suffix = ''.join(reversed(suffix))
# Store the times
self.times = []
for f in file_names:
f = f.replace(prefix, '')
f = f.replace(suffix, '')
try:
self.times.append(float(f))
except ValueError:
msg = self.__class__.__name__
msg += ": Trying to extract the time stamp from the input file name:\n"
msg += "\tExpected pattern: {}\n"
msg += "\tFound pattern: {}<{}>{}"
KM.Logger.PrintInfo(msg.format(file_pattern, prefix, f, suffix))
raise
self.times.sort()
def _SetCurrentTime(self):
current_time = self.interface_model_part.ProcessInfo.GetValue(KM.TIME)
if current_time > self.times[-1]:
msg = self.__class__.__name__
msg += ": Looking for an input file at time {}. However, the input files end at time {}."
raise Exception(msg.format(current_time, self.times[-1]))
closest_time = next(filter(lambda x: x>current_time, self.times))
self.input_model_part.ProcessInfo.SetValue(KM.TIME, closest_time)
def _SetDefaultTime(self):
default_time = self.settings["default_time_after_interval"].GetDouble()
self.input_model_part.ProcessInfo.SetValue(KM.TIME, default_time)
def _CheckInputCoordinates(self):
if self.settings["swap_yz_axis"].GetBool():
SW.ShallowWaterUtilities().SwapYZCoordinates(self.input_model_part)
SW.ShallowWaterUtilities().SwapY0Z0Coordinates(self.input_model_part)
if self.settings["ignore_vertical_component"].GetBool():
SW.ShallowWaterUtilities().SetMeshZCoordinateToZero(self.input_model_part)
SW.ShallowWaterUtilities().SetMeshZ0CoordinateToZero(self.input_model_part)
def _CheckInputVariables(self):
if self.settings["swap_yz_axis"].GetBool():
if self.settings["read_historical_database"].GetBool():
SW.ShallowWaterUtilities().SwapYZComponents(KM.MOMENTUM, self.input_model_part.Nodes)
SW.ShallowWaterUtilities().SwapYZComponents(KM.VELOCITY, self.input_model_part.Nodes)
else:
SW.ShallowWaterUtilities().SwapYZComponentsNonHistorical(KM.MOMENTUM, self.input_model_part.Nodes)
SW.ShallowWaterUtilities().SwapYZComponentsNonHistorical(KM.VELOCITY, self.input_model_part.Nodes)
if self.settings["ignore_vertical_component"].GetBool():
if self.settings["read_historical_database"].GetBool():
KM.VariableUtils().SetVariableToZero(KM.MOMENTUM_Z, self.input_model_part.Nodes)
KM.VariableUtils().SetVariableToZero(KM.VELOCITY_Z, self.input_model_part.Nodes)
else:
KM.VariableUtils().SetNonHistoricalVariableToZero(KM.MOMENTUM_Z, self.input_model_part.Nodes)
KM.VariableUtils().SetNonHistoricalVariableToZero(KM.VELOCITY_Z, self.input_model_part.Nodes)
def _MapToBoundaryCondition(self):
for variable in self.variables:
if variable == SW.FREE_SURFACE_ELEVATION:
pass
else:
if self.settings["read_historical_database"].GetBool():
self.mapper.Map(variable, variable)
else:
self.mapper.Map(variable, variable, KM.Mapper.FROM_NON_HISTORICAL)
for variable in self.variables:
if variable == SW.FREE_SURFACE_ELEVATION:
SW.ShallowWaterUtilities().ComputeFreeSurfaceElevation(self.interface_model_part)
else:
pass
for variable in self.variables_to_fix:
KM.VariableUtils().ApplyFixity(variable, True, self.interface_model_part.Nodes)
def _CreateMapper(self):
domain_size = self.input_model_part.ProcessInfo[KM.DOMAIN_SIZE]
if domain_size == 2:
mapper_settings = KM.Parameters("""{
"mapper_type": "nearest_neighbor",
"echo_level" : 0,
"search_settings" : {
"search_radius" : 0.0
}
}""")
min_point, max_point = KM.BoundingBox(self.interface_model_part.Nodes).GetPoints()
search_radius = 1.05 * (max_point - min_point).norm_2()
mapper_settings.AddEmptyValue("search_settings")
mapper_settings["search_settings"]["search_radius"].SetDouble(search_radius)
elif domain_size == 3:
mapper_settings = KM.Parameters("""{
"mapper_type": "nearest_neighbor",
"echo_level" : 0
}""")
else:
msg = self.__class__.__name__
msg += "._CreateMapper: The domain size of the input_model_part is: {}"
raise Exception(msg.format(domain_size))
self.mapper = KM.MapperFactory.CreateMapper(
self.input_model_part,
self.interface_model_part,
mapper_settings)
def _CreateHDF5Parameters(self):
hdf5_settings = KM.Parameters()
hdf5_settings.AddValue("model_part_name", self.settings["input_model_part_name"])
hdf5_settings.AddValue("file_settings", self.settings["file_settings"])
data_settings = KM.Parameters("""{"list_of_variables" : ["MOMENTUM","VELOCITY","HEIGHT","VERTICAL_VELOCITY","TOPOGRAPHY"]}""")
if self.settings["read_historical_database"].GetBool():
hdf5_settings.AddValue("nodal_solution_step_data_settings", data_settings)
else:
hdf5_settings.AddValue("nodal_data_value_settings", data_settings)
hdf5_process_settings = KM.Parameters()
hdf5_process_settings.AddValue("Parameters", hdf5_settings)
return hdf5_process_settings
def _SmoothDefaultValue(self):
elapsed_time = self.interface_model_part.ProcessInfo.GetValue(KM.DELTA_TIME)
semi_period = self.settings["semi_period_after_interval"].GetDouble()
for variable in self.variables:
SW.ShallowWaterUtilities().SmoothHistoricalVariable(
variable,
self.interface_model_part.Nodes,
elapsed_time,
semi_period) | PypiClean |
/Bluebook-0.0.1.tar.gz/Bluebook-0.0.1/pylot/app_templates/admin/static/vendor/bootstrap/js/bootstrap.js | if (typeof jQuery === 'undefined') { throw new Error('Bootstrap\'s JavaScript requires jQuery') }
/* ========================================================================
* Bootstrap: transition.js v3.2.0
* http://getbootstrap.com/javascript/#transitions
* ========================================================================
* Copyright 2011-2014 Twitter, Inc.
* Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
* ======================================================================== */
+function ($) {
'use strict';
// CSS TRANSITION SUPPORT (Shoutout: http://www.modernizr.com/)
// ============================================================
function transitionEnd() {
var el = document.createElement('bootstrap')
var transEndEventNames = {
WebkitTransition : 'webkitTransitionEnd',
MozTransition : 'transitionend',
OTransition : 'oTransitionEnd otransitionend',
transition : 'transitionend'
}
for (var name in transEndEventNames) {
if (el.style[name] !== undefined) {
return { end: transEndEventNames[name] }
}
}
return false // explicit for ie8 ( ._.)
}
// http://blog.alexmaccaw.com/css-transitions
$.fn.emulateTransitionEnd = function (duration) {
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var $el = this
$(this).one('bsTransitionEnd', function () { called = true })
var callback = function () { if (!called) $($el).trigger($.support.transition.end) }
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})
}(jQuery);
/* ========================================================================
* Bootstrap: alert.js v3.2.0
* http://getbootstrap.com/javascript/#alerts
* ========================================================================
* Copyright 2011-2014 Twitter, Inc.
* Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
* ======================================================================== */
+function ($) {
'use strict';
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var $this = $(this)
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/* ========================================================================
* Bootstrap: button.js v3.2.0
* http://getbootstrap.com/javascript/#buttons
* ========================================================================
* Copyright 2011-2014 Twitter, Inc.
* Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
* ======================================================================== */
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'use strict';
// BUTTON PUBLIC CLASS DEFINITION
// ==============================
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function Plugin(option) {
return this.each(function () {
var $this = $(this)
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/* ========================================================================
* Bootstrap: carousel.js v3.2.0
* http://getbootstrap.com/javascript/#carousel
* ========================================================================
* Copyright 2011-2014 Twitter, Inc.
* Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
* ======================================================================== */
+function ($) {
'use strict';
// CAROUSEL CLASS DEFINITION
// =========================
var Carousel = function (element, options) {
this.$element = $(element).on('keydown.bs.carousel', $.proxy(this.keydown, this))
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Carousel.prototype.keydown = function (e) {
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e.preventDefault()
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e || (this.paused = false)
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&& !this.paused
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var that = this
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if (activeIndex == pos) return this.pause().cycle()
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}
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e || (this.paused = true)
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this.cycle(true)
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return this
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return this.slide('next')
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if (!$next.length) {
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direction: direction
})
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$nextIndicator && $nextIndicator.addClass('active')
}
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if ($.support.transition && this.$element.hasClass('slide')) {
$next.addClass(type)
$next[0].offsetWidth // force reflow
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$active
.one('bsTransitionEnd', function () {
$next.removeClass([type, direction].join(' ')).addClass('active')
$active.removeClass(['active', direction].join(' '))
that.sliding = false
setTimeout(function () {
that.$element.trigger(slidEvent)
}, 0)
})
.emulateTransitionEnd($active.css('transition-duration').slice(0, -1) * 1000)
} else {
$active.removeClass('active')
$next.addClass('active')
this.sliding = false
this.$element.trigger(slidEvent)
}
isCycling && this.cycle()
return this
}
// CAROUSEL PLUGIN DEFINITION
// ==========================
function Plugin(option) {
return this.each(function () {
var $this = $(this)
var data = $this.data('bs.carousel')
var options = $.extend({}, Carousel.DEFAULTS, $this.data(), typeof option == 'object' && option)
var action = typeof option == 'string' ? option : options.slide
if (!data) $this.data('bs.carousel', (data = new Carousel(this, options)))
if (typeof option == 'number') data.to(option)
else if (action) data[action]()
else if (options.interval) data.pause().cycle()
})
}
var old = $.fn.carousel
$.fn.carousel = Plugin
$.fn.carousel.Constructor = Carousel
// CAROUSEL NO CONFLICT
// ====================
$.fn.carousel.noConflict = function () {
$.fn.carousel = old
return this
}
// CAROUSEL DATA-API
// =================
$(document).on('click.bs.carousel.data-api', '[data-slide], [data-slide-to]', function (e) {
var href
var $this = $(this)
var $target = $($this.attr('data-target') || (href = $this.attr('href')) && href.replace(/.*(?=#[^\s]+$)/, '')) // strip for ie7
if (!$target.hasClass('carousel')) return
var options = $.extend({}, $target.data(), $this.data())
var slideIndex = $this.attr('data-slide-to')
if (slideIndex) options.interval = false
Plugin.call($target, options)
if (slideIndex) {
$target.data('bs.carousel').to(slideIndex)
}
e.preventDefault()
})
$(window).on('load', function () {
$('[data-ride="carousel"]').each(function () {
var $carousel = $(this)
Plugin.call($carousel, $carousel.data())
})
})
}(jQuery);
/* ========================================================================
* Bootstrap: collapse.js v3.2.0
* http://getbootstrap.com/javascript/#collapse
* ========================================================================
* Copyright 2011-2014 Twitter, Inc.
* Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
* ======================================================================== */
+function ($) {
'use strict';
// COLLAPSE PUBLIC CLASS DEFINITION
// ================================
var Collapse = function (element, options) {
this.$element = $(element)
this.options = $.extend({}, Collapse.DEFAULTS, options)
this.transitioning = null
if (this.options.parent) this.$parent = $(this.options.parent)
if (this.options.toggle) this.toggle()
}
Collapse.VERSION = '3.2.0'
Collapse.DEFAULTS = {
toggle: true
}
Collapse.prototype.dimension = function () {
var hasWidth = this.$element.hasClass('width')
return hasWidth ? 'width' : 'height'
}
Collapse.prototype.show = function () {
if (this.transitioning || this.$element.hasClass('in')) return
var startEvent = $.Event('show.bs.collapse')
this.$element.trigger(startEvent)
if (startEvent.isDefaultPrevented()) return
var actives = this.$parent && this.$parent.find('> .panel > .in')
if (actives && actives.length) {
var hasData = actives.data('bs.collapse')
if (hasData && hasData.transitioning) return
Plugin.call(actives, 'hide')
hasData || actives.data('bs.collapse', null)
}
var dimension = this.dimension()
this.$element
.removeClass('collapse')
.addClass('collapsing')[dimension](0)
this.transitioning = 1
var complete = function () {
this.$element
.removeClass('collapsing')
.addClass('collapse in')[dimension]('')
this.transitioning = 0
this.$element
.trigger('shown.bs.collapse')
}
if (!$.support.transition) return complete.call(this)
var scrollSize = $.camelCase(['scroll', dimension].join('-'))
this.$element
.one('bsTransitionEnd', $.proxy(complete, this))
.emulateTransitionEnd(350)[dimension](this.$element[0][scrollSize])
}
Collapse.prototype.hide = function () {
if (this.transitioning || !this.$element.hasClass('in')) return
var startEvent = $.Event('hide.bs.collapse')
this.$element.trigger(startEvent)
if (startEvent.isDefaultPrevented()) return
var dimension = this.dimension()
this.$element[dimension](this.$element[dimension]())[0].offsetHeight
this.$element
.addClass('collapsing')
.removeClass('collapse')
.removeClass('in')
this.transitioning = 1
var complete = function () {
this.transitioning = 0
this.$element
.trigger('hidden.bs.collapse')
.removeClass('collapsing')
.addClass('collapse')
}
if (!$.support.transition) return complete.call(this)
this.$element
[dimension](0)
.one('bsTransitionEnd', $.proxy(complete, this))
.emulateTransitionEnd(350)
}
Collapse.prototype.toggle = function () {
this[this.$element.hasClass('in') ? 'hide' : 'show']()
}
// COLLAPSE PLUGIN DEFINITION
// ==========================
function Plugin(option) {
return this.each(function () {
var $this = $(this)
var data = $this.data('bs.collapse')
var options = $.extend({}, Collapse.DEFAULTS, $this.data(), typeof option == 'object' && option)
if (!data && options.toggle && option == 'show') option = !option
if (!data) $this.data('bs.collapse', (data = new Collapse(this, options)))
if (typeof option == 'string') data[option]()
})
}
var old = $.fn.collapse
$.fn.collapse = Plugin
$.fn.collapse.Constructor = Collapse
// COLLAPSE NO CONFLICT
// ====================
$.fn.collapse.noConflict = function () {
$.fn.collapse = old
return this
}
// COLLAPSE DATA-API
// =================
$(document).on('click.bs.collapse.data-api', '[data-toggle="collapse"]', function (e) {
var href
var $this = $(this)
var target = $this.attr('data-target')
|| e.preventDefault()
|| (href = $this.attr('href')) && href.replace(/.*(?=#[^\s]+$)/, '') // strip for ie7
var $target = $(target)
var data = $target.data('bs.collapse')
var option = data ? 'toggle' : $this.data()
var parent = $this.attr('data-parent')
var $parent = parent && $(parent)
if (!data || !data.transitioning) {
if ($parent) $parent.find('[data-toggle="collapse"][data-parent="' + parent + '"]').not($this).addClass('collapsed')
$this[$target.hasClass('in') ? 'addClass' : 'removeClass']('collapsed')
}
Plugin.call($target, option)
})
}(jQuery);
/* ========================================================================
* Bootstrap: dropdown.js v3.2.0
* http://getbootstrap.com/javascript/#dropdowns
* ========================================================================
* Copyright 2011-2014 Twitter, Inc.
* Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
* ======================================================================== */
+function ($) {
'use strict';
// DROPDOWN CLASS DEFINITION
// =========================
var backdrop = '.dropdown-backdrop'
var toggle = '[data-toggle="dropdown"]'
var Dropdown = function (element) {
$(element).on('click.bs.dropdown', this.toggle)
}
Dropdown.VERSION = '3.2.0'
Dropdown.prototype.toggle = function (e) {
var $this = $(this)
if ($this.is('.disabled, :disabled')) return
var $parent = getParent($this)
var isActive = $parent.hasClass('open')
clearMenus()
if (!isActive) {
if ('ontouchstart' in document.documentElement && !$parent.closest('.navbar-nav').length) {
// if mobile we use a backdrop because click events don't delegate
$('<div class="dropdown-backdrop"/>').insertAfter($(this)).on('click', clearMenus)
}
var relatedTarget = { relatedTarget: this }
$parent.trigger(e = $.Event('show.bs.dropdown', relatedTarget))
if (e.isDefaultPrevented()) return
$this.trigger('focus')
$parent
.toggleClass('open')
.trigger('shown.bs.dropdown', relatedTarget)
}
return false
}
Dropdown.prototype.keydown = function (e) {
if (!/(38|40|27)/.test(e.keyCode)) return
var $this = $(this)
e.preventDefault()
e.stopPropagation()
if ($this.is('.disabled, :disabled')) return
var $parent = getParent($this)
var isActive = $parent.hasClass('open')
if (!isActive || (isActive && e.keyCode == 27)) {
if (e.which == 27) $parent.find(toggle).trigger('focus')
return $this.trigger('click')
}
var desc = ' li:not(.divider):visible a'
var $items = $parent.find('[role="menu"]' + desc + ', [role="listbox"]' + desc)
if (!$items.length) return
var index = $items.index($items.filter(':focus'))
if (e.keyCode == 38 && index > 0) index-- // up
if (e.keyCode == 40 && index < $items.length - 1) index++ // down
if (!~index) index = 0
$items.eq(index).trigger('focus')
}
function clearMenus(e) {
if (e && e.which === 3) return
$(backdrop).remove()
$(toggle).each(function () {
var $parent = getParent($(this))
var relatedTarget = { relatedTarget: this }
if (!$parent.hasClass('open')) return
$parent.trigger(e = $.Event('hide.bs.dropdown', relatedTarget))
if (e.isDefaultPrevented()) return
$parent.removeClass('open').trigger('hidden.bs.dropdown', relatedTarget)
})
}
function getParent($this) {
var selector = $this.attr('data-target')
if (!selector) {
selector = $this.attr('href')
selector = selector && /#[A-Za-z]/.test(selector) && selector.replace(/.*(?=#[^\s]*$)/, '') // strip for ie7
}
var $parent = selector && $(selector)
return $parent && $parent.length ? $parent : $this.parent()
}
// DROPDOWN PLUGIN DEFINITION
// ==========================
function Plugin(option) {
return this.each(function () {
var $this = $(this)
var data = $this.data('bs.dropdown')
if (!data) $this.data('bs.dropdown', (data = new Dropdown(this)))
if (typeof option == 'string') data[option].call($this)
})
}
var old = $.fn.dropdown
$.fn.dropdown = Plugin
$.fn.dropdown.Constructor = Dropdown
// DROPDOWN NO CONFLICT
// ====================
$.fn.dropdown.noConflict = function () {
$.fn.dropdown = old
return this
}
// APPLY TO STANDARD DROPDOWN ELEMENTS
// ===================================
$(document)
.on('click.bs.dropdown.data-api', clearMenus)
.on('click.bs.dropdown.data-api', '.dropdown form', function (e) { e.stopPropagation() })
.on('click.bs.dropdown.data-api', toggle, Dropdown.prototype.toggle)
.on('keydown.bs.dropdown.data-api', toggle + ', [role="menu"], [role="listbox"]', Dropdown.prototype.keydown)
}(jQuery);
/* ========================================================================
* Bootstrap: modal.js v3.2.0
* http://getbootstrap.com/javascript/#modals
* ========================================================================
* Copyright 2011-2014 Twitter, Inc.
* Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
* ======================================================================== */
+function ($) {
'use strict';
// MODAL CLASS DEFINITION
// ======================
var Modal = function (element, options) {
this.options = options
this.$body = $(document.body)
this.$element = $(element)
this.$backdrop =
this.isShown = null
this.scrollbarWidth = 0
if (this.options.remote) {
this.$element
.find('.modal-content')
.load(this.options.remote, $.proxy(function () {
this.$element.trigger('loaded.bs.modal')
}, this))
}
}
Modal.VERSION = '3.2.0'
Modal.DEFAULTS = {
backdrop: true,
keyboard: true,
show: true
}
Modal.prototype.toggle = function (_relatedTarget) {
return this.isShown ? this.hide() : this.show(_relatedTarget)
}
Modal.prototype.show = function (_relatedTarget) {
var that = this
var e = $.Event('show.bs.modal', { relatedTarget: _relatedTarget })
this.$element.trigger(e)
if (this.isShown || e.isDefaultPrevented()) return
this.isShown = true
this.checkScrollbar()
this.$body.addClass('modal-open')
this.setScrollbar()
this.escape()
this.$element.on('click.dismiss.bs.modal', '[data-dismiss="modal"]', $.proxy(this.hide, this))
this.backdrop(function () {
var transition = $.support.transition && that.$element.hasClass('fade')
if (!that.$element.parent().length) {
that.$element.appendTo(that.$body) // don't move modals dom position
}
that.$element
.show()
.scrollTop(0)
if (transition) {
that.$element[0].offsetWidth // force reflow
}
that.$element
.addClass('in')
.attr('aria-hidden', false)
that.enforceFocus()
var e = $.Event('shown.bs.modal', { relatedTarget: _relatedTarget })
transition ?
that.$element.find('.modal-dialog') // wait for modal to slide in
.one('bsTransitionEnd', function () {
that.$element.trigger('focus').trigger(e)
})
.emulateTransitionEnd(300) :
that.$element.trigger('focus').trigger(e)
})
}
Modal.prototype.hide = function (e) {
if (e) e.preventDefault()
e = $.Event('hide.bs.modal')
this.$element.trigger(e)
if (!this.isShown || e.isDefaultPrevented()) return
this.isShown = false
this.$body.removeClass('modal-open')
this.resetScrollbar()
this.escape()
$(document).off('focusin.bs.modal')
this.$element
.removeClass('in')
.attr('aria-hidden', true)
.off('click.dismiss.bs.modal')
$.support.transition && this.$element.hasClass('fade') ?
this.$element
.one('bsTransitionEnd', $.proxy(this.hideModal, this))
.emulateTransitionEnd(300) :
this.hideModal()
}
Modal.prototype.enforceFocus = function () {
$(document)
.off('focusin.bs.modal') // guard against infinite focus loop
.on('focusin.bs.modal', $.proxy(function (e) {
if (this.$element[0] !== e.target && !this.$element.has(e.target).length) {
this.$element.trigger('focus')
}
}, this))
}
Modal.prototype.escape = function () {
if (this.isShown && this.options.keyboard) {
this.$element.on('keyup.dismiss.bs.modal', $.proxy(function (e) {
e.which == 27 && this.hide()
}, this))
} else if (!this.isShown) {
this.$element.off('keyup.dismiss.bs.modal')
}
}
Modal.prototype.hideModal = function () {
var that = this
this.$element.hide()
this.backdrop(function () {
that.$element.trigger('hidden.bs.modal')
})
}
Modal.prototype.removeBackdrop = function () {
this.$backdrop && this.$backdrop.remove()
this.$backdrop = null
}
Modal.prototype.backdrop = function (callback) {
var that = this
var animate = this.$element.hasClass('fade') ? 'fade' : ''
if (this.isShown && this.options.backdrop) {
var doAnimate = $.support.transition && animate
this.$backdrop = $('<div class="modal-backdrop ' + animate + '" />')
.appendTo(this.$body)
this.$element.on('click.dismiss.bs.modal', $.proxy(function (e) {
if (e.target !== e.currentTarget) return
this.options.backdrop == 'static'
? this.$element[0].focus.call(this.$element[0])
: this.hide.call(this)
}, this))
if (doAnimate) this.$backdrop[0].offsetWidth // force reflow
this.$backdrop.addClass('in')
if (!callback) return
doAnimate ?
this.$backdrop
.one('bsTransitionEnd', callback)
.emulateTransitionEnd(150) :
callback()
} else if (!this.isShown && this.$backdrop) {
this.$backdrop.removeClass('in')
var callbackRemove = function () {
that.removeBackdrop()
callback && callback()
}
$.support.transition && this.$element.hasClass('fade') ?
this.$backdrop
.one('bsTransitionEnd', callbackRemove)
.emulateTransitionEnd(150) :
callbackRemove()
} else if (callback) {
callback()
}
}
Modal.prototype.checkScrollbar = function () {
if (document.body.clientWidth >= window.innerWidth) return
this.scrollbarWidth = this.scrollbarWidth || this.measureScrollbar()
}
Modal.prototype.setScrollbar = function () {
var bodyPad = parseInt((this.$body.css('padding-right') || 0), 10)
if (this.scrollbarWidth) this.$body.css('padding-right', bodyPad + this.scrollbarWidth)
}
Modal.prototype.resetScrollbar = function () {
this.$body.css('padding-right', '')
}
Modal.prototype.measureScrollbar = function () { // thx walsh
var scrollDiv = document.createElement('div')
scrollDiv.className = 'modal-scrollbar-measure'
this.$body.append(scrollDiv)
var scrollbarWidth = scrollDiv.offsetWidth - scrollDiv.clientWidth
this.$body[0].removeChild(scrollDiv)
return scrollbarWidth
}
// MODAL PLUGIN DEFINITION
// =======================
function Plugin(option, _relatedTarget) {
return this.each(function () {
var $this = $(this)
var data = $this.data('bs.modal')
var options = $.extend({}, Modal.DEFAULTS, $this.data(), typeof option == 'object' && option)
if (!data) $this.data('bs.modal', (data = new Modal(this, options)))
if (typeof option == 'string') data[option](_relatedTarget)
else if (options.show) data.show(_relatedTarget)
})
}
var old = $.fn.modal
$.fn.modal = Plugin
$.fn.modal.Constructor = Modal
// MODAL NO CONFLICT
// =================
$.fn.modal.noConflict = function () {
$.fn.modal = old
return this
}
// MODAL DATA-API
// ==============
$(document).on('click.bs.modal.data-api', '[data-toggle="modal"]', function (e) {
var $this = $(this)
var href = $this.attr('href')
var $target = $($this.attr('data-target') || (href && href.replace(/.*(?=#[^\s]+$)/, ''))) // strip for ie7
var option = $target.data('bs.modal') ? 'toggle' : $.extend({ remote: !/#/.test(href) && href }, $target.data(), $this.data())
if ($this.is('a')) e.preventDefault()
$target.one('show.bs.modal', function (showEvent) {
if (showEvent.isDefaultPrevented()) return // only register focus restorer if modal will actually get shown
$target.one('hidden.bs.modal', function () {
$this.is(':visible') && $this.trigger('focus')
})
})
Plugin.call($target, option, this)
})
}(jQuery);
/* ========================================================================
* Bootstrap: tooltip.js v3.2.0
* http://getbootstrap.com/javascript/#tooltip
* Inspired by the original jQuery.tipsy by Jason Frame
* ========================================================================
* Copyright 2011-2014 Twitter, Inc.
* Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
* ======================================================================== */
+function ($) {
'use strict';
// TOOLTIP PUBLIC CLASS DEFINITION
// ===============================
var Tooltip = function (element, options) {
this.type =
this.options =
this.enabled =
this.timeout =
this.hoverState =
this.$element = null
this.init('tooltip', element, options)
}
Tooltip.VERSION = '3.2.0'
Tooltip.DEFAULTS = {
animation: true,
placement: 'top',
selector: false,
template: '<div class="tooltip" role="tooltip"><div class="tooltip-arrow"></div><div class="tooltip-inner"></div></div>',
trigger: 'hover focus',
title: '',
delay: 0,
html: false,
container: false,
viewport: {
selector: 'body',
padding: 0
}
}
Tooltip.prototype.init = function (type, element, options) {
this.enabled = true
this.type = type
this.$element = $(element)
this.options = this.getOptions(options)
this.$viewport = this.options.viewport && $(this.options.viewport.selector || this.options.viewport)
var triggers = this.options.trigger.split(' ')
for (var i = triggers.length; i--;) {
var trigger = triggers[i]
if (trigger == 'click') {
this.$element.on('click.' + this.type, this.options.selector, $.proxy(this.toggle, this))
} else if (trigger != 'manual') {
var eventIn = trigger == 'hover' ? 'mouseenter' : 'focusin'
var eventOut = trigger == 'hover' ? 'mouseleave' : 'focusout'
this.$element.on(eventIn + '.' + this.type, this.options.selector, $.proxy(this.enter, this))
this.$element.on(eventOut + '.' + this.type, this.options.selector, $.proxy(this.leave, this))
}
}
this.options.selector ?
(this._options = $.extend({}, this.options, { trigger: 'manual', selector: '' })) :
this.fixTitle()
}
Tooltip.prototype.getDefaults = function () {
return Tooltip.DEFAULTS
}
Tooltip.prototype.getOptions = function (options) {
options = $.extend({}, this.getDefaults(), this.$element.data(), options)
if (options.delay && typeof options.delay == 'number') {
options.delay = {
show: options.delay,
hide: options.delay
}
}
return options
}
Tooltip.prototype.getDelegateOptions = function () {
var options = {}
var defaults = this.getDefaults()
this._options && $.each(this._options, function (key, value) {
if (defaults[key] != value) options[key] = value
})
return options
}
Tooltip.prototype.enter = function (obj) {
var self = obj instanceof this.constructor ?
obj : $(obj.currentTarget).data('bs.' + this.type)
if (!self) {
self = new this.constructor(obj.currentTarget, this.getDelegateOptions())
$(obj.currentTarget).data('bs.' + this.type, self)
}
clearTimeout(self.timeout)
self.hoverState = 'in'
if (!self.options.delay || !self.options.delay.show) return self.show()
self.timeout = setTimeout(function () {
if (self.hoverState == 'in') self.show()
}, self.options.delay.show)
}
Tooltip.prototype.leave = function (obj) {
var self = obj instanceof this.constructor ?
obj : $(obj.currentTarget).data('bs.' + this.type)
if (!self) {
self = new this.constructor(obj.currentTarget, this.getDelegateOptions())
$(obj.currentTarget).data('bs.' + this.type, self)
}
clearTimeout(self.timeout)
self.hoverState = 'out'
if (!self.options.delay || !self.options.delay.hide) return self.hide()
self.timeout = setTimeout(function () {
if (self.hoverState == 'out') self.hide()
}, self.options.delay.hide)
}
Tooltip.prototype.show = function () {
var e = $.Event('show.bs.' + this.type)
if (this.hasContent() && this.enabled) {
this.$element.trigger(e)
var inDom = $.contains(document.documentElement, this.$element[0])
if (e.isDefaultPrevented() || !inDom) return
var that = this
var $tip = this.tip()
var tipId = this.getUID(this.type)
this.setContent()
$tip.attr('id', tipId)
this.$element.attr('aria-describedby', tipId)
if (this.options.animation) $tip.addClass('fade')
var placement = typeof this.options.placement == 'function' ?
this.options.placement.call(this, $tip[0], this.$element[0]) :
this.options.placement
var autoToken = /\s?auto?\s?/i
var autoPlace = autoToken.test(placement)
if (autoPlace) placement = placement.replace(autoToken, '') || 'top'
$tip
.detach()
.css({ top: 0, left: 0, display: 'block' })
.addClass(placement)
.data('bs.' + this.type, this)
this.options.container ? $tip.appendTo(this.options.container) : $tip.insertAfter(this.$element)
var pos = this.getPosition()
var actualWidth = $tip[0].offsetWidth
var actualHeight = $tip[0].offsetHeight
if (autoPlace) {
var orgPlacement = placement
var $parent = this.$element.parent()
var parentDim = this.getPosition($parent)
placement = placement == 'bottom' && pos.top + pos.height + actualHeight - parentDim.scroll > parentDim.height ? 'top' :
placement == 'top' && pos.top - parentDim.scroll - actualHeight < 0 ? 'bottom' :
placement == 'right' && pos.right + actualWidth > parentDim.width ? 'left' :
placement == 'left' && pos.left - actualWidth < parentDim.left ? 'right' :
placement
$tip
.removeClass(orgPlacement)
.addClass(placement)
}
var calculatedOffset = this.getCalculatedOffset(placement, pos, actualWidth, actualHeight)
this.applyPlacement(calculatedOffset, placement)
var complete = function () {
that.$element.trigger('shown.bs.' + that.type)
that.hoverState = null
}
$.support.transition && this.$tip.hasClass('fade') ?
$tip
.one('bsTransitionEnd', complete)
.emulateTransitionEnd(150) :
complete()
}
}
Tooltip.prototype.applyPlacement = function (offset, placement) {
var $tip = this.tip()
var width = $tip[0].offsetWidth
var height = $tip[0].offsetHeight
// manually read margins because getBoundingClientRect includes difference
var marginTop = parseInt($tip.css('margin-top'), 10)
var marginLeft = parseInt($tip.css('margin-left'), 10)
// we must check for NaN for ie 8/9
if (isNaN(marginTop)) marginTop = 0
if (isNaN(marginLeft)) marginLeft = 0
offset.top = offset.top + marginTop
offset.left = offset.left + marginLeft
// $.fn.offset doesn't round pixel values
// so we use setOffset directly with our own function B-0
$.offset.setOffset($tip[0], $.extend({
using: function (props) {
$tip.css({
top: Math.round(props.top),
left: Math.round(props.left)
})
}
}, offset), 0)
$tip.addClass('in')
// check to see if placing tip in new offset caused the tip to resize itself
var actualWidth = $tip[0].offsetWidth
var actualHeight = $tip[0].offsetHeight
if (placement == 'top' && actualHeight != height) {
offset.top = offset.top + height - actualHeight
}
var delta = this.getViewportAdjustedDelta(placement, offset, actualWidth, actualHeight)
if (delta.left) offset.left += delta.left
else offset.top += delta.top
var arrowDelta = delta.left ? delta.left * 2 - width + actualWidth : delta.top * 2 - height + actualHeight
var arrowPosition = delta.left ? 'left' : 'top'
var arrowOffsetPosition = delta.left ? 'offsetWidth' : 'offsetHeight'
$tip.offset(offset)
this.replaceArrow(arrowDelta, $tip[0][arrowOffsetPosition], arrowPosition)
}
Tooltip.prototype.replaceArrow = function (delta, dimension, position) {
this.arrow().css(position, delta ? (50 * (1 - delta / dimension) + '%') : '')
}
Tooltip.prototype.setContent = function () {
var $tip = this.tip()
var title = this.getTitle()
$tip.find('.tooltip-inner')[this.options.html ? 'html' : 'text'](title)
$tip.removeClass('fade in top bottom left right')
}
Tooltip.prototype.hide = function () {
var that = this
var $tip = this.tip()
var e = $.Event('hide.bs.' + this.type)
this.$element.removeAttr('aria-describedby')
function complete() {
if (that.hoverState != 'in') $tip.detach()
that.$element.trigger('hidden.bs.' + that.type)
}
this.$element.trigger(e)
if (e.isDefaultPrevented()) return
$tip.removeClass('in')
$.support.transition && this.$tip.hasClass('fade') ?
$tip
.one('bsTransitionEnd', complete)
.emulateTransitionEnd(150) :
complete()
this.hoverState = null
return this
}
Tooltip.prototype.fixTitle = function () {
var $e = this.$element
if ($e.attr('title') || typeof ($e.attr('data-original-title')) != 'string') {
$e.attr('data-original-title', $e.attr('title') || '').attr('title', '')
}
}
Tooltip.prototype.hasContent = function () {
return this.getTitle()
}
Tooltip.prototype.getPosition = function ($element) {
$element = $element || this.$element
var el = $element[0]
var isBody = el.tagName == 'BODY'
return $.extend({}, (typeof el.getBoundingClientRect == 'function') ? el.getBoundingClientRect() : null, {
scroll: isBody ? document.documentElement.scrollTop || document.body.scrollTop : $element.scrollTop(),
width: isBody ? $(window).width() : $element.outerWidth(),
height: isBody ? $(window).height() : $element.outerHeight()
}, isBody ? { top: 0, left: 0 } : $element.offset())
}
Tooltip.prototype.getCalculatedOffset = function (placement, pos, actualWidth, actualHeight) {
return placement == 'bottom' ? { top: pos.top + pos.height, left: pos.left + pos.width / 2 - actualWidth / 2 } :
placement == 'top' ? { top: pos.top - actualHeight, left: pos.left + pos.width / 2 - actualWidth / 2 } :
placement == 'left' ? { top: pos.top + pos.height / 2 - actualHeight / 2, left: pos.left - actualWidth } :
/* placement == 'right' */ { top: pos.top + pos.height / 2 - actualHeight / 2, left: pos.left + pos.width }
}
Tooltip.prototype.getViewportAdjustedDelta = function (placement, pos, actualWidth, actualHeight) {
var delta = { top: 0, left: 0 }
if (!this.$viewport) return delta
var viewportPadding = this.options.viewport && this.options.viewport.padding || 0
var viewportDimensions = this.getPosition(this.$viewport)
if (/right|left/.test(placement)) {
var topEdgeOffset = pos.top - viewportPadding - viewportDimensions.scroll
var bottomEdgeOffset = pos.top + viewportPadding - viewportDimensions.scroll + actualHeight
if (topEdgeOffset < viewportDimensions.top) { // top overflow
delta.top = viewportDimensions.top - topEdgeOffset
} else if (bottomEdgeOffset > viewportDimensions.top + viewportDimensions.height) { // bottom overflow
delta.top = viewportDimensions.top + viewportDimensions.height - bottomEdgeOffset
}
} else {
var leftEdgeOffset = pos.left - viewportPadding
var rightEdgeOffset = pos.left + viewportPadding + actualWidth
if (leftEdgeOffset < viewportDimensions.left) { // left overflow
delta.left = viewportDimensions.left - leftEdgeOffset
} else if (rightEdgeOffset > viewportDimensions.width) { // right overflow
delta.left = viewportDimensions.left + viewportDimensions.width - rightEdgeOffset
}
}
return delta
}
Tooltip.prototype.getTitle = function () {
var title
var $e = this.$element
var o = this.options
title = $e.attr('data-original-title')
|| (typeof o.title == 'function' ? o.title.call($e[0]) : o.title)
return title
}
Tooltip.prototype.getUID = function (prefix) {
do prefix += ~~(Math.random() * 1000000)
while (document.getElementById(prefix))
return prefix
}
Tooltip.prototype.tip = function () {
return (this.$tip = this.$tip || $(this.options.template))
}
Tooltip.prototype.arrow = function () {
return (this.$arrow = this.$arrow || this.tip().find('.tooltip-arrow'))
}
Tooltip.prototype.validate = function () {
if (!this.$element[0].parentNode) {
this.hide()
this.$element = null
this.options = null
}
}
Tooltip.prototype.enable = function () {
this.enabled = true
}
Tooltip.prototype.disable = function () {
this.enabled = false
}
Tooltip.prototype.toggleEnabled = function () {
this.enabled = !this.enabled
}
Tooltip.prototype.toggle = function (e) {
var self = this
if (e) {
self = $(e.currentTarget).data('bs.' + this.type)
if (!self) {
self = new this.constructor(e.currentTarget, this.getDelegateOptions())
$(e.currentTarget).data('bs.' + this.type, self)
}
}
self.tip().hasClass('in') ? self.leave(self) : self.enter(self)
}
Tooltip.prototype.destroy = function () {
clearTimeout(this.timeout)
this.hide().$element.off('.' + this.type).removeData('bs.' + this.type)
}
// TOOLTIP PLUGIN DEFINITION
// =========================
function Plugin(option) {
return this.each(function () {
var $this = $(this)
var data = $this.data('bs.tooltip')
var options = typeof option == 'object' && option
if (!data && option == 'destroy') return
if (!data) $this.data('bs.tooltip', (data = new Tooltip(this, options)))
if (typeof option == 'string') data[option]()
})
}
var old = $.fn.tooltip
$.fn.tooltip = Plugin
$.fn.tooltip.Constructor = Tooltip
// TOOLTIP NO CONFLICT
// ===================
$.fn.tooltip.noConflict = function () {
$.fn.tooltip = old
return this
}
}(jQuery);
/* ========================================================================
* Bootstrap: popover.js v3.2.0
* http://getbootstrap.com/javascript/#popovers
* ========================================================================
* Copyright 2011-2014 Twitter, Inc.
* Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
* ======================================================================== */
+function ($) {
'use strict';
// POPOVER PUBLIC CLASS DEFINITION
// ===============================
var Popover = function (element, options) {
this.init('popover', element, options)
}
if (!$.fn.tooltip) throw new Error('Popover requires tooltip.js')
Popover.VERSION = '3.2.0'
Popover.DEFAULTS = $.extend({}, $.fn.tooltip.Constructor.DEFAULTS, {
placement: 'right',
trigger: 'click',
content: '',
template: '<div class="popover" role="tooltip"><div class="arrow"></div><h3 class="popover-title"></h3><div class="popover-content"></div></div>'
})
// NOTE: POPOVER EXTENDS tooltip.js
// ================================
Popover.prototype = $.extend({}, $.fn.tooltip.Constructor.prototype)
Popover.prototype.constructor = Popover
Popover.prototype.getDefaults = function () {
return Popover.DEFAULTS
}
Popover.prototype.setContent = function () {
var $tip = this.tip()
var title = this.getTitle()
var content = this.getContent()
$tip.find('.popover-title')[this.options.html ? 'html' : 'text'](title)
$tip.find('.popover-content').empty()[ // we use append for html objects to maintain js events
this.options.html ? (typeof content == 'string' ? 'html' : 'append') : 'text'
](content)
$tip.removeClass('fade top bottom left right in')
// IE8 doesn't accept hiding via the `:empty` pseudo selector, we have to do
// this manually by checking the contents.
if (!$tip.find('.popover-title').html()) $tip.find('.popover-title').hide()
}
Popover.prototype.hasContent = function () {
return this.getTitle() || this.getContent()
}
Popover.prototype.getContent = function () {
var $e = this.$element
var o = this.options
return $e.attr('data-content')
|| (typeof o.content == 'function' ?
o.content.call($e[0]) :
o.content)
}
Popover.prototype.arrow = function () {
return (this.$arrow = this.$arrow || this.tip().find('.arrow'))
}
Popover.prototype.tip = function () {
if (!this.$tip) this.$tip = $(this.options.template)
return this.$tip
}
// POPOVER PLUGIN DEFINITION
// =========================
function Plugin(option) {
return this.each(function () {
var $this = $(this)
var data = $this.data('bs.popover')
var options = typeof option == 'object' && option
if (!data && option == 'destroy') return
if (!data) $this.data('bs.popover', (data = new Popover(this, options)))
if (typeof option == 'string') data[option]()
})
}
var old = $.fn.popover
$.fn.popover = Plugin
$.fn.popover.Constructor = Popover
// POPOVER NO CONFLICT
// ===================
$.fn.popover.noConflict = function () {
$.fn.popover = old
return this
}
}(jQuery);
/* ========================================================================
* Bootstrap: scrollspy.js v3.2.0
* http://getbootstrap.com/javascript/#scrollspy
* ========================================================================
* Copyright 2011-2014 Twitter, Inc.
* Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
* ======================================================================== */
+function ($) {
'use strict';
// SCROLLSPY CLASS DEFINITION
// ==========================
function ScrollSpy(element, options) {
var process = $.proxy(this.process, this)
this.$body = $('body')
this.$scrollElement = $(element).is('body') ? $(window) : $(element)
this.options = $.extend({}, ScrollSpy.DEFAULTS, options)
this.selector = (this.options.target || '') + ' .nav li > a'
this.offsets = []
this.targets = []
this.activeTarget = null
this.scrollHeight = 0
this.$scrollElement.on('scroll.bs.scrollspy', process)
this.refresh()
this.process()
}
ScrollSpy.VERSION = '3.2.0'
ScrollSpy.DEFAULTS = {
offset: 10
}
ScrollSpy.prototype.getScrollHeight = function () {
return this.$scrollElement[0].scrollHeight || Math.max(this.$body[0].scrollHeight, document.documentElement.scrollHeight)
}
ScrollSpy.prototype.refresh = function () {
var offsetMethod = 'offset'
var offsetBase = 0
if (!$.isWindow(this.$scrollElement[0])) {
offsetMethod = 'position'
offsetBase = this.$scrollElement.scrollTop()
}
this.offsets = []
this.targets = []
this.scrollHeight = this.getScrollHeight()
var self = this
this.$body
.find(this.selector)
.map(function () {
var $el = $(this)
var href = $el.data('target') || $el.attr('href')
var $href = /^#./.test(href) && $(href)
return ($href
&& $href.length
&& $href.is(':visible')
&& [[$href[offsetMethod]().top + offsetBase, href]]) || null
})
.sort(function (a, b) { return a[0] - b[0] })
.each(function () {
self.offsets.push(this[0])
self.targets.push(this[1])
})
}
ScrollSpy.prototype.process = function () {
var scrollTop = this.$scrollElement.scrollTop() + this.options.offset
var scrollHeight = this.getScrollHeight()
var maxScroll = this.options.offset + scrollHeight - this.$scrollElement.height()
var offsets = this.offsets
var targets = this.targets
var activeTarget = this.activeTarget
var i
if (this.scrollHeight != scrollHeight) {
this.refresh()
}
if (scrollTop >= maxScroll) {
return activeTarget != (i = targets[targets.length - 1]) && this.activate(i)
}
if (activeTarget && scrollTop <= offsets[0]) {
return activeTarget != (i = targets[0]) && this.activate(i)
}
for (i = offsets.length; i--;) {
activeTarget != targets[i]
&& scrollTop >= offsets[i]
&& (!offsets[i + 1] || scrollTop <= offsets[i + 1])
&& this.activate(targets[i])
}
}
ScrollSpy.prototype.activate = function (target) {
this.activeTarget = target
$(this.selector)
.parentsUntil(this.options.target, '.active')
.removeClass('active')
var selector = this.selector +
'[data-target="' + target + '"],' +
this.selector + '[href="' + target + '"]'
var active = $(selector)
.parents('li')
.addClass('active')
if (active.parent('.dropdown-menu').length) {
active = active
.closest('li.dropdown')
.addClass('active')
}
active.trigger('activate.bs.scrollspy')
}
// SCROLLSPY PLUGIN DEFINITION
// ===========================
function Plugin(option) {
return this.each(function () {
var $this = $(this)
var data = $this.data('bs.scrollspy')
var options = typeof option == 'object' && option
if (!data) $this.data('bs.scrollspy', (data = new ScrollSpy(this, options)))
if (typeof option == 'string') data[option]()
})
}
var old = $.fn.scrollspy
$.fn.scrollspy = Plugin
$.fn.scrollspy.Constructor = ScrollSpy
// SCROLLSPY NO CONFLICT
// =====================
$.fn.scrollspy.noConflict = function () {
$.fn.scrollspy = old
return this
}
// SCROLLSPY DATA-API
// ==================
$(window).on('load.bs.scrollspy.data-api', function () {
$('[data-spy="scroll"]').each(function () {
var $spy = $(this)
Plugin.call($spy, $spy.data())
})
})
}(jQuery);
/* ========================================================================
* Bootstrap: tab.js v3.2.0
* http://getbootstrap.com/javascript/#tabs
* ========================================================================
* Copyright 2011-2014 Twitter, Inc.
* Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
* ======================================================================== */
+function ($) {
'use strict';
// TAB CLASS DEFINITION
// ====================
var Tab = function (element) {
this.element = $(element)
}
Tab.VERSION = '3.2.0'
Tab.prototype.show = function () {
var $this = this.element
var $ul = $this.closest('ul:not(.dropdown-menu)')
var selector = $this.data('target')
if (!selector) {
selector = $this.attr('href')
selector = selector && selector.replace(/.*(?=#[^\s]*$)/, '') // strip for ie7
}
if ($this.parent('li').hasClass('active')) return
var previous = $ul.find('.active:last a')[0]
var e = $.Event('show.bs.tab', {
relatedTarget: previous
})
$this.trigger(e)
if (e.isDefaultPrevented()) return
var $target = $(selector)
this.activate($this.closest('li'), $ul)
this.activate($target, $target.parent(), function () {
$this.trigger({
type: 'shown.bs.tab',
relatedTarget: previous
})
})
}
Tab.prototype.activate = function (element, container, callback) {
var $active = container.find('> .active')
var transition = callback
&& $.support.transition
&& $active.hasClass('fade')
function next() {
$active
.removeClass('active')
.find('> .dropdown-menu > .active')
.removeClass('active')
element.addClass('active')
if (transition) {
element[0].offsetWidth // reflow for transition
element.addClass('in')
} else {
element.removeClass('fade')
}
if (element.parent('.dropdown-menu')) {
element.closest('li.dropdown').addClass('active')
}
callback && callback()
}
transition ?
$active
.one('bsTransitionEnd', next)
.emulateTransitionEnd(150) :
next()
$active.removeClass('in')
}
// TAB PLUGIN DEFINITION
// =====================
function Plugin(option) {
return this.each(function () {
var $this = $(this)
var data = $this.data('bs.tab')
if (!data) $this.data('bs.tab', (data = new Tab(this)))
if (typeof option == 'string') data[option]()
})
}
var old = $.fn.tab
$.fn.tab = Plugin
$.fn.tab.Constructor = Tab
// TAB NO CONFLICT
// ===============
$.fn.tab.noConflict = function () {
$.fn.tab = old
return this
}
// TAB DATA-API
// ============
$(document).on('click.bs.tab.data-api', '[data-toggle="tab"], [data-toggle="pill"]', function (e) {
e.preventDefault()
Plugin.call($(this), 'show')
})
}(jQuery);
/* ========================================================================
* Bootstrap: affix.js v3.2.0
* http://getbootstrap.com/javascript/#affix
* ========================================================================
* Copyright 2011-2014 Twitter, Inc.
* Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
* ======================================================================== */
+function ($) {
'use strict';
// AFFIX CLASS DEFINITION
// ======================
var Affix = function (element, options) {
this.options = $.extend({}, Affix.DEFAULTS, options)
this.$target = $(this.options.target)
.on('scroll.bs.affix.data-api', $.proxy(this.checkPosition, this))
.on('click.bs.affix.data-api', $.proxy(this.checkPositionWithEventLoop, this))
this.$element = $(element)
this.affixed =
this.unpin =
this.pinnedOffset = null
this.checkPosition()
}
Affix.VERSION = '3.2.0'
Affix.RESET = 'affix affix-top affix-bottom'
Affix.DEFAULTS = {
offset: 0,
target: window
}
Affix.prototype.getPinnedOffset = function () {
if (this.pinnedOffset) return this.pinnedOffset
this.$element.removeClass(Affix.RESET).addClass('affix')
var scrollTop = this.$target.scrollTop()
var position = this.$element.offset()
return (this.pinnedOffset = position.top - scrollTop)
}
Affix.prototype.checkPositionWithEventLoop = function () {
setTimeout($.proxy(this.checkPosition, this), 1)
}
Affix.prototype.checkPosition = function () {
if (!this.$element.is(':visible')) return
var scrollHeight = $(document).height()
var scrollTop = this.$target.scrollTop()
var position = this.$element.offset()
var offset = this.options.offset
var offsetTop = offset.top
var offsetBottom = offset.bottom
if (typeof offset != 'object') offsetBottom = offsetTop = offset
if (typeof offsetTop == 'function') offsetTop = offset.top(this.$element)
if (typeof offsetBottom == 'function') offsetBottom = offset.bottom(this.$element)
var affix = this.unpin != null && (scrollTop + this.unpin <= position.top) ? false :
offsetBottom != null && (position.top + this.$element.height() >= scrollHeight - offsetBottom) ? 'bottom' :
offsetTop != null && (scrollTop <= offsetTop) ? 'top' : false
if (this.affixed === affix) return
if (this.unpin != null) this.$element.css('top', '')
var affixType = 'affix' + (affix ? '-' + affix : '')
var e = $.Event(affixType + '.bs.affix')
this.$element.trigger(e)
if (e.isDefaultPrevented()) return
this.affixed = affix
this.unpin = affix == 'bottom' ? this.getPinnedOffset() : null
this.$element
.removeClass(Affix.RESET)
.addClass(affixType)
.trigger($.Event(affixType.replace('affix', 'affixed')))
if (affix == 'bottom') {
this.$element.offset({
top: scrollHeight - this.$element.height() - offsetBottom
})
}
}
// AFFIX PLUGIN DEFINITION
// =======================
function Plugin(option) {
return this.each(function () {
var $this = $(this)
var data = $this.data('bs.affix')
var options = typeof option == 'object' && option
if (!data) $this.data('bs.affix', (data = new Affix(this, options)))
if (typeof option == 'string') data[option]()
})
}
var old = $.fn.affix
$.fn.affix = Plugin
$.fn.affix.Constructor = Affix
// AFFIX NO CONFLICT
// =================
$.fn.affix.noConflict = function () {
$.fn.affix = old
return this
}
// AFFIX DATA-API
// ==============
$(window).on('load', function () {
$('[data-spy="affix"]').each(function () {
var $spy = $(this)
var data = $spy.data()
data.offset = data.offset || {}
if (data.offsetBottom) data.offset.bottom = data.offsetBottom
if (data.offsetTop) data.offset.top = data.offsetTop
Plugin.call($spy, data)
})
})
}(jQuery); | PypiClean |
/DoorPi-2.4.1.8.tar.gz/DoorPi-2.4.1.8/doorpi/sipphone/linphone_lib/Recorder.py |
import logging
logger = logging.getLogger(__name__)
logger.debug("%s loaded", __name__)
import os
from doorpi import DoorPi
from doorpi.sipphone.AbstractBaseClass import RecorderAbstractBaseClass, SIPPHONE_SECTION
class LinphoneRecorder(RecorderAbstractBaseClass):
__record_filename = ''
__last_record_filename = ''
@property
def record_filename(self): return self.__record_filename
@property
def parsed_record_filename(self): return DoorPi().parse_string(self.__record_filename)
@property
def last_record_filename(self): return self.__last_record_filename
def __init__(self):
self.__record_filename = DoorPi().config.get(SIPPHONE_SECTION, 'records',
'!BASEPATH!/records/%Y-%m-%d_%H-%M-%S.wav')
if self.__record_filename is '':
logger.debug('no recorder found in config at section DoorPi and key records')
return
DoorPi().event_handler.register_action('OnSipPhoneDestroy', self.destroy)
DoorPi().event_handler.register_event('OnRecorderStarted', __name__)
DoorPi().event_handler.register_event('OnRecorderStopped', __name__)
DoorPi().event_handler.register_event('OnRecorderCreated', __name__)
if DoorPi().config.get_bool(SIPPHONE_SECTION, 'record_while_dialing', 'False') is True:
DoorPi().event_handler.register_action('OnSipPhoneMakeCall', self.start)
else:
DoorPi().event_handler.register_action('OnCallStateConnect', self.start)
DoorPi().event_handler.register_action('OnCallStateDisconnect', self.stop)
DoorPi().event_handler('OnRecorderCreated', __name__)
def start(self):
if self.__record_filename is '':
return
if self.__record_filename is not '':
self.__last_record_filename = self.parsed_record_filename
if not os.path.exists(os.path.dirname(self.__last_record_filename)):
logger.info('Path %s does not exist - creating it now', os.path.dirname(self.__last_record_filename))
os.makedirs(os.path.dirname(self.__last_record_filename))
logger.debug('starting recording to %s', self.__last_record_filename)
DoorPi().sipphone.current_call.start_recording()
DoorPi().event_handler('OnRecorderStarted', __name__, {
'last_record_filename': self.__last_record_filename
})
def stop(self):
if not DoorPi().sipphone.current_call: return
logger.debug('stopping recording to %s', self.__last_record_filename)
DoorPi().sipphone.current_call.stop_recording()
DoorPi().event_handler('OnRecorderStopped', __name__, {
'last_record_filename': self.__last_record_filename
})
def destroy(self):
try: self.stop()
except: pass
DoorPi().event_handler.unregister_source(__name__, True) | PypiClean |
/123_object_detection-0.1.tar.gz/123_object_detection-0.1/object_detection/metrics/tf_example_parser.py | import numpy as np
from object_detection.core import data_parser
from object_detection.core import standard_fields as fields
class FloatParser(data_parser.DataToNumpyParser):
"""Tensorflow Example float parser."""
def __init__(self, field_name):
self.field_name = field_name
def parse(self, tf_example):
return np.array(
tf_example.features.feature[self.field_name].float_list.value,
dtype=np.float).transpose() if tf_example.features.feature[
self.field_name].HasField("float_list") else None
class StringParser(data_parser.DataToNumpyParser):
"""Tensorflow Example string parser."""
def __init__(self, field_name):
self.field_name = field_name
def parse(self, tf_example):
return b"".join(tf_example.features.feature[
self.field_name].bytes_list.value) if tf_example.features.feature[
self.field_name].HasField("bytes_list") else None
class Int64Parser(data_parser.DataToNumpyParser):
"""Tensorflow Example int64 parser."""
def __init__(self, field_name):
self.field_name = field_name
def parse(self, tf_example):
return np.array(
tf_example.features.feature[self.field_name].int64_list.value,
dtype=np.int64).transpose() if tf_example.features.feature[
self.field_name].HasField("int64_list") else None
class BoundingBoxParser(data_parser.DataToNumpyParser):
"""Tensorflow Example bounding box parser."""
def __init__(self, xmin_field_name, ymin_field_name, xmax_field_name,
ymax_field_name):
self.field_names = [
ymin_field_name, xmin_field_name, ymax_field_name, xmax_field_name
]
def parse(self, tf_example):
result = []
parsed = True
for field_name in self.field_names:
result.append(tf_example.features.feature[field_name].float_list.value)
parsed &= (
tf_example.features.feature[field_name].HasField("float_list"))
return np.array(result).transpose() if parsed else None
class TfExampleDetectionAndGTParser(data_parser.DataToNumpyParser):
"""Tensorflow Example proto parser."""
def __init__(self):
self.items_to_handlers = {
fields.DetectionResultFields.key:
StringParser(fields.TfExampleFields.source_id),
# Object ground truth boxes and classes.
fields.InputDataFields.groundtruth_boxes: (BoundingBoxParser(
fields.TfExampleFields.object_bbox_xmin,
fields.TfExampleFields.object_bbox_ymin,
fields.TfExampleFields.object_bbox_xmax,
fields.TfExampleFields.object_bbox_ymax)),
fields.InputDataFields.groundtruth_classes: (
Int64Parser(fields.TfExampleFields.object_class_label)),
# Object detections.
fields.DetectionResultFields.detection_boxes: (BoundingBoxParser(
fields.TfExampleFields.detection_bbox_xmin,
fields.TfExampleFields.detection_bbox_ymin,
fields.TfExampleFields.detection_bbox_xmax,
fields.TfExampleFields.detection_bbox_ymax)),
fields.DetectionResultFields.detection_classes: (
Int64Parser(fields.TfExampleFields.detection_class_label)),
fields.DetectionResultFields.detection_scores: (
FloatParser(fields.TfExampleFields.detection_score)),
}
self.optional_items_to_handlers = {
fields.InputDataFields.groundtruth_difficult:
Int64Parser(fields.TfExampleFields.object_difficult),
fields.InputDataFields.groundtruth_group_of:
Int64Parser(fields.TfExampleFields.object_group_of),
fields.InputDataFields.groundtruth_image_classes:
Int64Parser(fields.TfExampleFields.image_class_label),
}
def parse(self, tf_example):
"""Parses tensorflow example and returns a tensor dictionary.
Args:
tf_example: a tf.Example object.
Returns:
A dictionary of the following numpy arrays:
fields.DetectionResultFields.source_id - string containing original image
id.
fields.InputDataFields.groundtruth_boxes - a numpy array containing
groundtruth boxes.
fields.InputDataFields.groundtruth_classes - a numpy array containing
groundtruth classes.
fields.InputDataFields.groundtruth_group_of - a numpy array containing
groundtruth group of flag (optional, None if not specified).
fields.InputDataFields.groundtruth_difficult - a numpy array containing
groundtruth difficult flag (optional, None if not specified).
fields.InputDataFields.groundtruth_image_classes - a numpy array
containing groundtruth image-level labels.
fields.DetectionResultFields.detection_boxes - a numpy array containing
detection boxes.
fields.DetectionResultFields.detection_classes - a numpy array containing
detection class labels.
fields.DetectionResultFields.detection_scores - a numpy array containing
detection scores.
Returns None if tf.Example was not parsed or non-optional fields were not
found.
"""
results_dict = {}
parsed = True
for key, parser in self.items_to_handlers.items():
results_dict[key] = parser.parse(tf_example)
parsed &= (results_dict[key] is not None)
for key, parser in self.optional_items_to_handlers.items():
results_dict[key] = parser.parse(tf_example)
return results_dict if parsed else None | PypiClean |
/Interleave_Playlist-1.0.0a7-py3-none-any.whl/interleave_playlist/persistence/input_.py | import json
import os
import re
import typing
from collections.abc import Iterable
from datetime import datetime
from pathlib import Path
from typing import Any
from crontab import CronTab
from ruamel.yaml import YAML, YAMLError
from interleave_playlist.core import PlaylistEntry
from interleave_playlist.persistence import Location, Group, Timed, _STATE_FILE
class InvalidInputFile(Exception):
pass
class LocationNotFound(Exception):
pass
def get_locations() -> list[Location]:
input_: dict = _get_input(get_last_input_file())
locations = []
for loc in input_['locations']:
if 'disabled' in loc and loc['disabled'] is True:
continue
options = [loc, input_]
locations.append(
Location(
loc['name'],
Group(
loc['name'],
loc['name'],
_nested_get('priority', options),
_nested_get('whitelist', options),
_nested_get('blacklist', options),
_get_timed(loc['timed']) if 'timed' in loc else None,
),
loc['additional'] if 'additional' in loc else [],
_nested_get('regex', options),
_get_group_list(loc['groups'], options) if 'groups' in loc else []
)
)
return locations
def get_watched_file_name() -> str:
fn = get_last_input_file() + '.watched.txt'
if not os.path.exists(fn):
with open(fn, 'w'):
pass
return fn
def drop_groups(entries: Iterable[PlaylistEntry]) -> None:
input_ = _get_input(get_last_input_file())
for entry in entries:
location = next(filter(lambda i: i['name'] == entry.location.name, input_['locations']))
if entry.group.name == entry.location.name:
location['disabled'] = True
continue
group_name = entry.group.name
blacklist: list[str] = location.setdefault('blacklist', [])
if group_name not in blacklist:
blacklist.append(group_name)
yaml = YAML()
yaml.dump(input_, Path(get_last_input_file()))
def _get_group_list(data: list[dict[str, Any]], additional_options: list[dict[str, Any]]) \
-> list[Group]:
groups = []
for g in data:
options = [g, *additional_options]
groups.append(Group(
g['name'],
_nested_get('name', additional_options),
_nested_get('priority', options),
_nested_get('whitelist', options),
_nested_get('blacklist', options),
_nested_get('timed', options),
))
return groups
def _get_timed(d: dict[str, Any]) -> Timed:
return Timed(
datetime.fromisoformat(d['start']),
CronTab(d['cron']),
d.get('first'),
d.get('amount'),
d.get('start-at-cron'),
)
def _get_input(input_file: str) -> dict[str, Any]:
try:
with open(input_file, 'r') as f:
yaml = YAML()
yaml.preserve_quotes = True # type: ignore
yml = yaml.load(f)
_validate_group(yml)
if 'locations' not in yml:
raise InvalidInputFile('Input requires "locations"')
if not isinstance(yml['locations'], list):
raise InvalidInputFile('"locations" must be a list')
for loc in yml['locations']:
if 'name' not in loc:
raise InvalidInputFile('Locations must have names')
if not isinstance(loc['name'], str):
raise InvalidInputFile('Location names must be strings')
if not os.path.exists(loc['name']):
raise LocationNotFound(loc['name'])
if 'disabled' in loc and not isinstance(loc['disabled'], bool):
raise InvalidInputFile('"disabled" must be a boolean')
_validate_group(loc)
_validate_timed(loc)
if 'groups' in loc:
if not isinstance(loc['groups'], list):
raise InvalidInputFile('groups must be a list')
_validate_groups(loc['groups'])
if 'additional' in loc:
if not isinstance(loc['additional'], list):
raise InvalidInputFile('"additional" must be a list')
for i in loc['additional']:
if not isinstance(i, str):
raise InvalidInputFile('"additional" entries must be strings')
except YAMLError as e:
raise InvalidInputFile("Unable to parse input file") from e
return typing.cast(dict[str, Any], yml)
def _validate_wb_list(d: dict, wb_list: str) -> None:
if wb_list in d:
if not isinstance(d[wb_list], list):
raise InvalidInputFile(wb_list + ' must be a list')
for white in d[wb_list]:
if not isinstance(white, str):
raise InvalidInputFile(wb_list + ' entries must be strings')
def _validate_whitelist(d: dict) -> None:
_validate_wb_list(d, 'blacklist')
def _validate_blacklist(d: dict) -> None:
_validate_wb_list(d, 'whitelist')
def _validate_regex(d: dict) -> None:
if d.get('regex'):
if not isinstance(d['regex'], str):
raise InvalidInputFile("Regex must be a string")
try:
re.compile(d['regex'])
except re.error:
raise InvalidInputFile("Regex is invalid")
def _validate_timed(d: dict) -> None:
if d.get('timed'):
if 'start' not in d['timed']:
raise InvalidInputFile('Usage of timed requires a start datetime')
if 'cron' not in d['timed']:
raise InvalidInputFile('Usage of timed requires a cron rule')
try:
datetime.fromisoformat(d['timed']['start'])
except (TypeError, ValueError) as e:
raise InvalidInputFile('Invalid start date format. Requires ISO string') from e
try:
CronTab(d['timed']['cron'])
except ValueError as e:
raise InvalidInputFile('Invalid cron format') from e
if 'first' in d['timed'] and not isinstance(d['timed']['first'], int):
raise InvalidInputFile('timed.first must be an integer')
if 'amount' in d['timed'] and not isinstance(d['timed']['amount'], int):
raise InvalidInputFile('timed.amount must be an integer')
def _validate_priority(d: dict) -> None:
if 'priority' in d and not isinstance(d['priority'], int):
raise InvalidInputFile('priority must be an integer')
def _validate_group(group: dict) -> None:
validators = [
_validate_whitelist,
_validate_blacklist,
_validate_regex,
_validate_priority,
]
for validator in validators:
validator(group)
def _validate_groups(groups: list[dict]) -> None:
for group in groups:
_validate_group(group)
def _nested_get(key: str, options: list[dict[str, Any]]) -> Any:
for option in options:
if key in option:
return option.get(key)
def get_last_input_file() -> str:
return typing.cast(str, _get_state()['last-input-file'])
def set_last_input_file(input_file: str) -> None:
_get_input(input_file) # ensure that the input can be read
_set_state('last-input-file', input_file)
def _get_state() -> dict[str, Any]:
with open(_STATE_FILE, 'r') as f:
return typing.cast(dict[str, Any], json.load(f))
def _set_state(key: str, val: Any) -> None:
state = _get_state()
state[key] = val
with open(_STATE_FILE, 'w') as f:
json.dump(state, f) | PypiClean |
/HY_sdk-0.2.56-py3-none-any.whl/hivisionai/hycv/FaceDetection68/faceDetection68.py | from src.hivisionai.hyService.cloudService import GetConfig
import os
import cv2
import dlib
import numpy as np
local_file = os.path.dirname(__file__)
PREDICTOR_PATH = f"{local_file}/weights/shape_predictor_68_face_landmarks.dat" # 关键点检测模型路径
MODULE3D_PATH = f"{local_file}/weights/68_points_3D_model.txt" # 3d的68点配置文件路径
# 定义一个人脸检测错误的错误类
class FaceError(Exception):
def __init__(self, err):
super().__init__(err)
self.err = err
def __str__(self):
return self.err
class FaceConfig68(object):
face_area:list = None # 一些其他的参数,在本类中实际没啥用
FACE_POINTS = list(range(17, 68)) # 人脸轮廓点索引
MOUTH_POINTS = list(range(48, 61)) # 嘴巴点索引
RIGHT_BROW_POINTS = list(range(17, 22)) # 右眉毛索引
LEFT_BROW_POINTS = list(range(22, 27)) # 左眉毛索引
RIGHT_EYE_POINTS = list(range(36, 42)) # 右眼索引
LEFT_EYE_POINTS = list(range(42, 48)) # 左眼索引
NOSE_POINTS = list(range(27, 35)) # 鼻子索引
JAW_POINTS = list(range(0, 17)) # 下巴索引
LEFT_FACE = list(range(42, 48)) + list(range(22, 27)) # 左半边脸索引
RIGHT_FACE = list(range(36, 42)) + list(range(17, 22)) # 右半边脸索引
JAW_END = 17 # 下巴结束点
FACE_START = 0 # 人脸识别开始
FACE_END = 68 # 人脸识别结束
# 下面这个是整张脸的mark点,可以用:
# for group in self.OVERLAY_POINTS:
# cv2.fillConvexPoly(face_mask, cv2.convexHull(dst_matrix[group]), (255, 255, 255))
# 来形成人脸蒙版
OVERLAY_POINTS = [
JAW_POINTS,
LEFT_FACE,
RIGHT_FACE
]
class FaceDetection68(FaceConfig68):
"""
人脸68关键点检测主类,当然使用的是dlib开源包
"""
def __init__(self, model_path:str=None, default_download:bool=False, *args, **kwargs):
# 初始化,检查并下载模型
self.model_path = PREDICTOR_PATH if model_path is None else model_path
if not os.path.exists(self.model_path) or default_download: # 下载配置
gc = GetConfig()
gc.load_file(cloud_path="weights/shape_predictor_68_face_landmarks.dat",
local_path=self.model_path)
self.__detector = None
self.__predictor = None
@property
def detector(self):
if self.__detector is None:
self.__detector = dlib.get_frontal_face_detector() # 获取人脸分类器
return self.__detector
@property
def predictor(self):
if self.__predictor is None:
self.__predictor = dlib.shape_predictor(self.model_path) # 输入模型,构建特征提取器
return self.__predictor
@staticmethod
def draw_face(img:np.ndarray, dets:dlib.rectangles, *args, **kwargs):
# 画人脸检测框, 为了一些兼容操作我没有设置默认显示,可以在运行完本函数后将返回值进行self.cv_show()
tmp = img.copy()
for face in dets:
# 左上角(x1,y1)，右下角(x2,y2)
x1, y1, x2, y2 = face.left(), face.top(), face.right(), face.bottom()
# print(x1, y1, x2, y2)
cv2.rectangle(tmp, (x1, y1), (x2, y2), (0, 255, 0), 2)
return tmp
@staticmethod
def draw_points(img:np.ndarray, landmarks:np.matrix, if_num:int=False, *args, **kwargs):
"""
画人脸关键点, 为了一些兼容操作我没有设置默认显示,可以在运行完本函数后将返回值进行self.cv_show()
:param img: 输入的是人脸检测的图,必须是3通道或者灰度图
:param if_num: 是否在画关键点的同时画上编号
:param landmarks: 输入的关键点矩阵信息
"""
tmp = img.copy()
h, w, c = tmp.shape
r = int(h / 100) - 2 if h > w else int(w / 100) - 2
for idx, point in enumerate(landmarks):
# 68点的坐标
pos = (point[0, 0], point[0, 1])
# 利用cv2.circle给每个特征点画一个圈，共68个
cv2.circle(tmp, pos, r, color=(0, 0, 255), thickness=-1) # bgr
if if_num is True:
# 利用cv2.putText输出1-68
font = cv2.FONT_HERSHEY_SIMPLEX
cv2.putText(tmp, str(idx + 1), pos, font, 0.8, (0, 0, 255), 1, cv2.LINE_AA)
return tmp
@staticmethod
def resize_image_esp(input_image_, esp=2000):
"""
输入：
input_path：numpy图片
esp：限制的最大边长
"""
# resize函数=>可以让原图压缩到最大边为esp的尺寸(不改变比例)
width = input_image_.shape[0]
length = input_image_.shape[1]
max_num = max(width, length)
if max_num > esp:
print("Image resizing...")
if width == max_num:
length = int((esp / width) * length)
width = esp
else:
width = int((esp / length) * width)
length = esp
print(length, width)
im_resize = cv2.resize(input_image_, (length, width), interpolation=cv2.INTER_AREA)
return im_resize
else:
return input_image_
def facesPoints(self, img:np.ndarray, esp:int=None, det_num:int=1,*args, **kwargs):
"""
:param img: 输入的是人脸检测的图,必须是3通道或者灰度图
:param esp: 如果输入了具体数值,会将图片的最大边长缩放至esp,另一边等比例缩放
:param det_num: 人脸检测的迭代次数, 采样次数越多,越有利于检测到更多的人脸
:return
返回人脸检测框对象dets, 人脸关键点矩阵列表(列表中每个元素为一个人脸的关键点矩阵), 人脸关键点元组列表(列表中每个元素为一个人脸的关键点列表)
"""
# win = dlib.image_window()
# win.clear_overlay()
# win.set_image(img)
# dlib的人脸检测装置
if esp is not None:
img = self.resize_image_esp(input_image_=img, esp=esp)
dets = self.detector(img, det_num)
# self.draw_face(img, dets)
# font_color = "green" if len(dets) == 1 else "red"
# dg.debug_print("Number of faces detected: {}".format(len(dets)), font_color=font_color)
landmarkList = []
pointsList = []
for d in dets:
shape = self.predictor(img, d)
landmark = np.matrix([[p.x, p.y] for p in shape.parts()])
landmarkList.append(landmark)
point_list = []
for p in landmark.tolist():
point_list.append((p[0], p[1]))
pointsList.append(point_list)
# dg.debug_print("Key point detection SUCCESS.", font_color="green")
return dets, landmarkList, pointsList
def facePoints(self, img:np.ndarray, esp:int=None, det_num:int=1, *args, **kwargs):
"""
本函数与facesPoints大致类似,主要区别在于本函数默认只能返回一个人脸关键点参数
"""
# win = dlib.image_window()
# win.clear_overlay()
# win.set_image(img)
# dlib的人脸检测装置, 参数1表示对图片进行上采样一次，采样次数越多,越有利于检测到更多的人脸
if esp is not None:
img = self.resize_image_esp(input_image_=img, esp=esp)
dets = self.detector(img, det_num)
# self.draw_face(img, dets)
font_color = "green" if len(dets) == 1 else "red"
# dg.debug_print("Number of faces detected: {}".format(len(dets)), font_color=font_color)
if font_color=="red":
# 本检测函数必然只能检测出一张人脸
raise FaceError("Face detection error!!!")
d = dets[0] # 唯一人脸
shape = self.predictor(img, d)
landmark = np.matrix([[p.x, p.y] for p in shape.parts()])
# print("face_landmark:", landmark) # 打印关键点矩阵
# shape = predictor(img, )
# dlib.hit_enter_to_continue()
# 返回关键点矩阵,关键点,
point_list = []
for p in landmark.tolist():
point_list.append((p[0], p[1]))
# dg.debug_print("Key point detection SUCCESS.", font_color="green")
# 最后的一个返回参数只会被计算一次，用于标明脸部框的位置
# [人脸框左上角纵坐标（top），左上角横坐标（left），人脸框宽度（width），人脸框高度（height）]
return dets, landmark, point_list
class PoseEstimator68(object):
"""
Estimate head pose according to the facial landmarks
本类将实现但输入图的人脸姿态检测
"""
def __init__(self, img:np.ndarray, params_path:str=None, default_download:bool=False):
self.params_path = MODULE3D_PATH if params_path is None else params_path
if not os.path.exists(self.params_path) or default_download:
gc = GetConfig()
gc.load_file(cloud_path="weights/68_points_3D_model.txt",
local_path=self.params_path)
h, w, c = img.shape
self.size = (h, w)
# 3D model points.
self.model_points = np.array([
(0.0, 0.0, 0.0), # Nose tip
(0.0, -330.0, -65.0), # Chin
(-225.0, 170.0, -135.0), # Left eye left corner
(225.0, 170.0, -135.0), # Right eye right corner
(-150.0, -150.0, -125.0), # Mouth left corner
(150.0, -150.0, -125.0) # Mouth right corner
]) / 4.5
self.model_points_68 = self._get_full_model_points()
# Camera internals
self.focal_length = self.size[1]
self.camera_center = (self.size[1] / 2, self.size[0] / 2)
self.camera_matrix = np.array(
[[self.focal_length, 0, self.camera_center[0]],
[0, self.focal_length, self.camera_center[1]],
[0, 0, 1]], dtype="double")
# Assuming no lens distortion
self.dist_coeefs = np.zeros((4, 1))
# Rotation vector and translation vector
self.r_vec = np.array([[0.01891013], [0.08560084], [-3.14392813]])
self.t_vec = np.array(
[[-14.97821226], [-10.62040383], [-2053.03596872]])
# self.r_vec = None
# self.t_vec = None
def _get_full_model_points(self):
"""Get all 68 3D model points from file"""
raw_value = []
with open(self.params_path) as file:
for line in file:
raw_value.append(line)
model_points = np.array(raw_value, dtype=np.float32)
model_points = np.reshape(model_points, (3, -1)).T
# Transform the model into a front view.
# model_points[:, 0] *= -1
model_points[:, 1] *= -1
model_points[:, 2] *= -1
return model_points
def show_3d_model(self):
from matplotlib import pyplot
from mpl_toolkits.mplot3d import Axes3D
fig = pyplot.figure()
ax = Axes3D(fig)
x = self.model_points_68[:, 0]
y = self.model_points_68[:, 1]
z = self.model_points_68[:, 2]
ax.scatter(x, y, z)
ax.axis('auto')
pyplot.xlabel('x')
pyplot.ylabel('y')
pyplot.show()
def solve_pose(self, image_points):
"""
Solve pose from image points
Return (rotation_vector, translation_vector) as pose.
"""
assert image_points.shape[0] == self.model_points_68.shape[0], "3D points and 2D points should be of same number."
(_, rotation_vector, translation_vector) = cv2.solvePnP(
self.model_points, image_points, self.camera_matrix, self.dist_coeefs)
# (success, rotation_vector, translation_vector) = cv2.solvePnP(
# self.model_points,
# image_points,
# self.camera_matrix,
# self.dist_coeefs,
# rvec=self.r_vec,
# tvec=self.t_vec,
# useExtrinsicGuess=True)
return rotation_vector, translation_vector
def solve_pose_by_68_points(self, image_points):
"""
Solve pose from all the 68 image points
Return (rotation_vector, translation_vector) as pose.
"""
if self.r_vec is None:
(_, rotation_vector, translation_vector) = cv2.solvePnP(
self.model_points_68, image_points, self.camera_matrix, self.dist_coeefs)
self.r_vec = rotation_vector
self.t_vec = translation_vector
(_, rotation_vector, translation_vector) = cv2.solvePnP(
self.model_points_68,
image_points,
self.camera_matrix,
self.dist_coeefs,
rvec=self.r_vec,
tvec=self.t_vec,
useExtrinsicGuess=True)
return rotation_vector, translation_vector
# def draw_annotation_box(self, image, rotation_vector, translation_vector, color=(255, 255, 255), line_width=2):
# """Draw a 3D box as annotation of pose"""
# point_3d = []
# rear_size = 75
# rear_depth = 0
# point_3d.append((-rear_size, -rear_size, rear_depth))
# point_3d.append((-rear_size, rear_size, rear_depth))
# point_3d.append((rear_size, rear_size, rear_depth))
# point_3d.append((rear_size, -rear_size, rear_depth))
# point_3d.append((-rear_size, -rear_size, rear_depth))
#
# front_size = 100
# front_depth = 100
# point_3d.append((-front_size, -front_size, front_depth))
# point_3d.append((-front_size, front_size, front_depth))
# point_3d.append((front_size, front_size, front_depth))
# point_3d.append((front_size, -front_size, front_depth))
# point_3d.append((-front_size, -front_size, front_depth))
# point_3d = np.array(point_3d, dtype=np.float64).reshape(-1, 3)
#
# # Map to 2d image points
# (point_2d, _) = cv2.projectPoints(point_3d,
# rotation_vector,
# translation_vector,
# self.camera_matrix,
# self.dist_coeefs)
# point_2d = np.int32(point_2d.reshape(-1, 2))
#
# # Draw all the lines
# cv2.polylines(image, [point_2d], True, color, line_width, cv2.LINE_AA)
# cv2.line(image, tuple(point_2d[1]), tuple(
# point_2d[6]), color, line_width, cv2.LINE_AA)
# cv2.line(image, tuple(point_2d[2]), tuple(
# point_2d[7]), color, line_width, cv2.LINE_AA)
# cv2.line(image, tuple(point_2d[3]), tuple(
# point_2d[8]), color, line_width, cv2.LINE_AA)
#
# def draw_axis(self, img, R, t):
# points = np.float32(
# [[30, 0, 0], [0, 30, 0], [0, 0, 30], [0, 0, 0]]).reshape(-1, 3)
#
# axisPoints, _ = cv2.projectPoints(
# points, R, t, self.camera_matrix, self.dist_coeefs)
#
# img = cv2.line(img, tuple(axisPoints[3].ravel()), tuple(
# axisPoints[0].ravel()), (255, 0, 0), 3)
# img = cv2.line(img, tuple(axisPoints[3].ravel()), tuple(
# axisPoints[1].ravel()), (0, 255, 0), 3)
# img = cv2.line(img, tuple(axisPoints[3].ravel()), tuple(
# axisPoints[2].ravel()), (0, 0, 255), 3)
def draw_axes(self, img, R, t):
"""
OX is drawn in red, OY in green and OZ in blue.
"""
return cv2.drawFrameAxes(img, self.camera_matrix, self.dist_coeefs, R, t, 30)
@staticmethod
def get_pose_marks(marks):
"""Get marks ready for pose estimation from 68 marks"""
pose_marks = [marks[30], marks[8], marks[36], marks[45], marks[48], marks[54]]
return pose_marks
@staticmethod
def rot_params_rm(R):
from math import pi,atan2,asin, fabs
# x轴
pitch = (180 * atan2(-R[2][1], R[2][2]) / pi)
f = (0 > pitch) - (0 < pitch)
pitch = f * (180 - fabs(pitch))
# y轴
yaw = -(180 * asin(R[2][0]) / pi)
# z轴
roll = (180 * atan2(-R[1][0], R[0][0]) / pi)
f = (0 > roll) - (0 < roll)
roll = f * (180 - fabs(roll))
if not fabs(roll) < 90.0:
roll = f * (180 - fabs(roll))
rot_params = [pitch, yaw, roll]
return rot_params
@staticmethod
def rot_params_rv(rvec_):
from math import pi, atan2, asin, fabs
R = cv2.Rodrigues(rvec_)[0]
# x轴
pitch = (180 * atan2(-R[2][1], R[2][2]) / pi)
f = (0 > pitch) - (0 < pitch)
pitch = f * (180 - fabs(pitch))
# y轴
yaw = -(180 * asin(R[2][0]) / pi)
# z轴
roll = (180 * atan2(-R[1][0], R[0][0]) / pi)
f = (0 > roll) - (0 < roll)
roll = f * (180 - fabs(roll))
rot_params = [pitch, yaw, roll]
return rot_params
def imageEulerAngle(self, img_points):
# 这里的img_points对应的是facePoints的第三个返回值,注意是facePoints而非facesPoints
# 对于facesPoints而言,需要把第三个返回值逐一取出再输入
# 把列表转为矩阵,且编码形式为float64
img_points = np.array(img_points, dtype=np.float64)
rvec, tvec = self.solve_pose_by_68_points(img_points)
# 旋转向量转旋转矩阵
R = cv2.Rodrigues(rvec)[0]
# theta = np.linalg.norm(rvec)
# r = rvec / theta
# R_ = np.array([[0, -r[2][0], r[1][0]],
# [r[2][0], 0, -r[0][0]],
# [-r[1][0], r[0][0], 0]])
# R = np.cos(theta) * np.eye(3) + (1 - np.cos(theta)) * r * r.T + np.sin(theta) * R_
# 旋转矩阵转欧拉角
eulerAngle = self.rot_params_rm(R)
# 返回一个元组和欧拉角列表
return (rvec, tvec, R), eulerAngle
# if __name__ == "__main__":
# # 示例
# from hyService.utils import Debug
# dg = Debug()
# image_input = cv2.imread("./test.jpg") # 读取一张图片, 必须是三通道或者灰度图
# fd68 = FaceDetection68() # 初始化人脸关键点检测类
# dets_, landmark_, point_list_ = fd68.facePoints(image_input) # 输入图片. 检测单张人脸
# # dets_, landmark_, point_list_ = fd68.facesPoints(input_image) # 输入图片. 检测多张人脸
# img = fd68.draw_points(image_input, landmark_)
# dg.cv_show(img)
# pe = PoseEstimator68(image_input)
# _, ea = pe.imageEulerAngle(point_list_) # 输入关键点列表, 如果要使用facesPoints,则输入的是point_list_[i]
# print(ea) # 结果 | PypiClean |
/BlazeUtils-0.7.0-py3-none-any.whl/blazeutils/numbers.py | from decimal import Decimal
# from http://docs.python.org/library/decimal.html#recipes
def moneyfmt(value, places=2, curr='', sep=',', dp='.',
pos='', neg='-', trailneg=''):
"""Convert Decimal to a money formatted string.
places: required number of places after the decimal point
curr: optional currency symbol before the sign (may be blank)
sep: optional grouping separator (comma, period, space, or blank)
dp: decimal point indicator (comma or period)
only specify as blank when places is zero
pos: optional sign for positive numbers: '+', space or blank
neg: optional sign for negative numbers: '-', '(', space or blank
trailneg:optional trailing minus indicator: '-', ')', space or blank
>>> d = Decimal('-1234567.8901')
>>> moneyfmt(d, curr='$')
'-$1,234,567.89'
>>> moneyfmt(d, places=0, sep='.', dp='', neg='', trailneg='-')
'1.234.568-'
>>> moneyfmt(d, curr='$', neg='(', trailneg=')')
'($1,234,567.89)'
>>> moneyfmt(Decimal(123456789), sep=' ')
'123 456 789.00'
>>> moneyfmt(Decimal('-0.02'), neg='<', trailneg='>')
'<0.02>'
"""
if not isinstance(value, Decimal):
if isinstance(value, float):
value = str(value)
value = Decimal(value)
q = Decimal(10) ** -places # 2 places --> '0.01'
sign, digits, exp = value.quantize(q).as_tuple()
result = []
digits = list(map(str, digits))
build, next = result.append, digits.pop
if sign:
build(trailneg)
for i in range(places):
build(next() if digits else '0')
if places > 0:
build(dp)
if not digits:
build('0')
i = 0
while digits:
build(next())
i += 1
if i == 3 and digits:
i = 0
build(sep)
build(curr)
build(neg if sign else pos)
return ''.join(reversed(result))
decimalfmt = moneyfmt # noqa: E305
def round_down_to_n(x, rounder=5):
return (x // rounder) * rounder
def convert_int(value):
try:
return int(value)
except ValueError as e:
if 'invalid literal for int()' not in str(e):
raise
except TypeError as e:
# TypeError message is slightly different in Python 3
msg = 'int() argument must be a string'
if msg not in str(e):
raise
return None
def ensure_int(value):
retval = convert_int(value)
if retval is None:
return 0
return retval | PypiClean |
/CodeIntel-2.0.0b19-cp34-cp34m-macosx_10_12_x86_64.whl/codeintel/codeintel2/lib_srcs/node.js/0.10/os.js | var os = {};
/**
* Returns the system uptime in seconds.
* @returns the system uptime in seconds
*/
os.uptime = function() {}
/**
* Returns the total amount of system memory in bytes.
* @returns the total amount of system memory in bytes
*/
os.totalmem = function() {}
/**
* Returns the hostname of the operating system.
* @returns the hostname of the operating system
*/
os.hostname = function() {}
/**
* Returns an array of objects containing information about each CPU/core
* installed: model, speed (in MHz), and times (an object containing the
* number of milliseconds the CPU/core spent in: user, nice, sys, idle, and
* irq).
* @returns {Array} an array of objects containing information about each CPU/core installed: model, speed (in MHz), and times (an object containing the number of milliseconds the CPU/core spent in: user, nice, sys, idle, and irq)
*/
os.cpus = function() {}
/**
* Returns an array containing the 1, 5, and 15 minute load averages.
* @returns an array containing the 1, 5, and 15 minute load averages
*/
os.loadavg = function() {}
/**
* Returns the operating system release.
* @returns the operating system release
*/
os.release = function() {}
/**
* Returns the operating system name.
* @returns the operating system name
*/
os.type = function() {}
/**
* Returns the amount of free system memory in bytes.
* @returns the amount of free system memory in bytes
*/
os.freemem = function() {}
/**
* A constant defining the appropriate End-of-line marker for the operating
* system.
*/
os.EOL = 0;
/**
* Returns the operating system CPU architecture.
* @returns the operating system CPU architecture
*/
os.arch = function() {}
/**
* Returns the endianness of the CPU. Possible values are "BE" or "LE".
* @returns the endianness of the CPU
*/
os.endianness = function() {}
/**
* Get a list of network interfaces:
*/
os.networkInterfaces = function() {}
/**
* Returns the operating system platform.
* @returns the operating system platform
*/
os.platform = function() {}
/**
* Returns the operating system's default directory for temp files.
* @returns the operating system's default directory for temp files
*/
os.tmpdir = function() {}
exports = os; | PypiClean |
/Electrum-CHI-3.3.8.tar.gz/Electrum-CHI-3.3.8/packages/google/protobuf/source_context_pb2.py |
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
DESCRIPTOR = _descriptor.FileDescriptor(
name='google/protobuf/source_context.proto',
package='google.protobuf',
syntax='proto3',
serialized_options=_b('\n\023com.google.protobufB\022SourceContextProtoP\001ZAgoogle.golang.org/genproto/protobuf/source_context;source_context\242\002\003GPB\252\002\036Google.Protobuf.WellKnownTypes'),
serialized_pb=_b('\n$google/protobuf/source_context.proto\x12\x0fgoogle.protobuf\"\"\n\rSourceContext\x12\x11\n\tfile_name\x18\x01 \x01(\tB\x95\x01\n\x13\x63om.google.protobufB\x12SourceContextProtoP\x01ZAgoogle.golang.org/genproto/protobuf/source_context;source_context\xa2\x02\x03GPB\xaa\x02\x1eGoogle.Protobuf.WellKnownTypesb\x06proto3')
)
_SOURCECONTEXT = _descriptor.Descriptor(
name='SourceContext',
full_name='google.protobuf.SourceContext',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='file_name', full_name='google.protobuf.SourceContext.file_name', index=0,
number=1, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=57,
serialized_end=91,
)
DESCRIPTOR.message_types_by_name['SourceContext'] = _SOURCECONTEXT
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
SourceContext = _reflection.GeneratedProtocolMessageType('SourceContext', (_message.Message,), {
'DESCRIPTOR' : _SOURCECONTEXT,
'__module__' : 'google.protobuf.source_context_pb2'
# @@protoc_insertion_point(class_scope:google.protobuf.SourceContext)
})
_sym_db.RegisterMessage(SourceContext)
DESCRIPTOR._options = None
# @@protoc_insertion_point(module_scope) | PypiClean |
/AN-DiscordBot-3.9.4.tar.gz/AN-DiscordBot-3.9.4/anbot/__init__.py | import re as _re
import sys as _sys
import warnings as _warnings
from math import inf as _inf
from typing import (
Any as _Any,
ClassVar as _ClassVar,
Dict as _Dict,
List as _List,
Optional as _Optional,
Pattern as _Pattern,
Tuple as _Tuple,
Union as _Union,
)
MIN_PYTHON_VERSION = (3, 7, 0)
__all__ = ["MIN_PYTHON_VERSION", "__version__", "version_info", "VersionInfo"]
if _sys.version_info < MIN_PYTHON_VERSION:
print(
f"Python {'.'.join(map(str, MIN_PYTHON_VERSION))} is required to run Red, but you have "
f"{_sys.version}! Please update Python."
)
_sys.exit(1)
class VersionInfo:
ALPHA = "alpha"
BETA = "beta"
RELEASE_CANDIDATE = "release candidate"
FINAL = "final"
_VERSION_STR_PATTERN: _ClassVar[_Pattern[str]] = _re.compile(
r"^"
r"(?P<major>0|[1-9]\d*)\.(?P<minor>0|[1-9]\d*)\.(?P<micro>0|[1-9]\d*)"
r"(?:(?P<releaselevel>a|b|rc)(?P<serial>0|[1-9]\d*))?"
r"(?:\.post(?P<post_release>0|[1-9]\d*))?"
r"(?:\.dev(?P<dev_release>0|[1-9]\d*))?"
r"$",
flags=_re.IGNORECASE,
)
_RELEASE_LEVELS: _ClassVar[_List[str]] = [ALPHA, BETA, RELEASE_CANDIDATE, FINAL]
_SHORT_RELEASE_LEVELS: _ClassVar[_Dict[str, str]] = {
"a": ALPHA,
"b": BETA,
"rc": RELEASE_CANDIDATE,
}
def __init__(
self,
major: int,
minor: int,
micro: int,
releaselevel: str,
serial: _Optional[int] = None,
post_release: _Optional[int] = None,
dev_release: _Optional[int] = None,
) -> None:
self.major: int = major
self.minor: int = minor
self.micro: int = micro
if releaselevel not in self._RELEASE_LEVELS:
raise TypeError(f"'releaselevel' must be one of: {', '.join(self._RELEASE_LEVELS)}")
self.releaselevel: str = releaselevel
self.serial: _Optional[int] = serial
self.post_release: _Optional[int] = post_release
self.dev_release: _Optional[int] = dev_release
@classmethod
def from_str(cls, version_str: str) -> "VersionInfo":
"""Parse a string into a VersionInfo object.
Raises
------
ValueError
If the version info string is invalid.
"""
match = cls._VERSION_STR_PATTERN.match(version_str)
if not match:
raise ValueError(f"Invalid version string: {version_str}")
kwargs: _Dict[str, _Union[str, int]] = {}
for key in ("major", "minor", "micro"):
kwargs[key] = int(match[key])
releaselevel = match["releaselevel"]
if releaselevel is not None:
kwargs["releaselevel"] = cls._SHORT_RELEASE_LEVELS[releaselevel]
else:
kwargs["releaselevel"] = cls.FINAL
for key in ("serial", "post_release", "dev_release"):
if match[key] is not None:
kwargs[key] = int(match[key])
return cls(**kwargs)
@classmethod
def from_json(
cls, data: _Union[_Dict[str, _Union[int, str]], _List[_Union[int, str]]]
) -> "VersionInfo":
if isinstance(data, _List):
# For old versions, data was stored as a list:
# [MAJOR, MINOR, MICRO, RELEASELEVEL, SERIAL]
return cls(*data)
else:
return cls(**data)
def to_json(self) -> _Dict[str, _Union[int, str]]:
return {
"major": self.major,
"minor": self.minor,
"micro": self.micro,
"releaselevel": self.releaselevel,
"serial": self.serial,
"post_release": self.post_release,
"dev_release": self.dev_release,
}
def _generate_comparison_tuples(
self, other: "VersionInfo"
) -> _List[
_Tuple[int, int, int, int, _Union[int, float], _Union[int, float], _Union[int, float]]
]:
tups: _List[
_Tuple[int, int, int, int, _Union[int, float], _Union[int, float], _Union[int, float]]
] = []
for obj in (self, other):
tups.append(
(
obj.major,
obj.minor,
obj.micro,
obj._RELEASE_LEVELS.index(obj.releaselevel),
obj.serial if obj.serial is not None else _inf,
obj.post_release if obj.post_release is not None else -_inf,
obj.dev_release if obj.dev_release is not None else _inf,
)
)
return tups
def __lt__(self, other: "VersionInfo") -> bool:
tups = self._generate_comparison_tuples(other)
return tups[0] < tups[1]
def __eq__(self, other: "VersionInfo") -> bool:
tups = self._generate_comparison_tuples(other)
return tups[0] == tups[1]
def __le__(self, other: "VersionInfo") -> bool:
tups = self._generate_comparison_tuples(other)
return tups[0] <= tups[1]
def __str__(self) -> str:
ret = f"{self.major}.{self.minor}.{self.micro}"
if self.releaselevel != self.FINAL:
short = next(
k for k, v in self._SHORT_RELEASE_LEVELS.items() if v == self.releaselevel
)
ret += f"{short}{self.serial}"
if self.post_release is not None:
ret += f".post{self.post_release}"
if self.dev_release is not None:
ret += f".dev{self.dev_release}"
return ret
def __repr__(self) -> str:
return (
"VersionInfo(major={major}, minor={minor}, micro={micro}, "
"releaselevel={releaselevel}, serial={serial}, post={post_release}, "
"dev={dev_release})".format(**self.to_json())
)
__version__ = "3.7.5"
version_info = VersionInfo.from_str(__version__)
# Filter fuzzywuzzy slow sequence matcher warning
_warnings.filterwarnings("ignore", module=r"fuzzywuzzy.*") | PypiClean |
/Django-4.2.4.tar.gz/Django-4.2.4/django/contrib/gis/geos/prototypes/geom.py | from ctypes import POINTER, c_char_p, c_int, c_ubyte, c_uint
from django.contrib.gis.geos.libgeos import CS_PTR, GEOM_PTR, GEOSFuncFactory
from django.contrib.gis.geos.prototypes.errcheck import (
check_geom,
check_minus_one,
check_string,
)
# This is the return type used by binary output (WKB, HEX) routines.
c_uchar_p = POINTER(c_ubyte)
# We create a simple subclass of c_char_p here because when the response
# type is set to c_char_p, you get a _Python_ string and there's no way
# to access the string's address inside the error checking function.
# In other words, you can't free the memory allocated inside GEOS. Previously,
# the return type would just be omitted and the integer address would be
# used -- but this allows us to be specific in the function definition and
# keeps the reference so it may be free'd.
class geos_char_p(c_char_p):
pass
# ### ctypes factory classes ###
class GeomOutput(GEOSFuncFactory):
"For GEOS routines that return a geometry."
restype = GEOM_PTR
errcheck = staticmethod(check_geom)
class IntFromGeom(GEOSFuncFactory):
"Argument is a geometry, return type is an integer."
argtypes = [GEOM_PTR]
restype = c_int
errcheck = staticmethod(check_minus_one)
class StringFromGeom(GEOSFuncFactory):
"Argument is a Geometry, return type is a string."
argtypes = [GEOM_PTR]
restype = geos_char_p
errcheck = staticmethod(check_string)
# ### ctypes prototypes ###
# The GEOS geometry type, typeid, num_coordinates and number of geometries
geos_makevalid = GeomOutput("GEOSMakeValid", argtypes=[GEOM_PTR])
geos_normalize = IntFromGeom("GEOSNormalize")
geos_type = StringFromGeom("GEOSGeomType")
geos_typeid = IntFromGeom("GEOSGeomTypeId")
get_dims = GEOSFuncFactory("GEOSGeom_getDimensions", argtypes=[GEOM_PTR], restype=c_int)
get_num_coords = IntFromGeom("GEOSGetNumCoordinates")
get_num_geoms = IntFromGeom("GEOSGetNumGeometries")
# Geometry creation factories
create_point = GeomOutput("GEOSGeom_createPoint", argtypes=[CS_PTR])
create_linestring = GeomOutput("GEOSGeom_createLineString", argtypes=[CS_PTR])
create_linearring = GeomOutput("GEOSGeom_createLinearRing", argtypes=[CS_PTR])
# Polygon and collection creation routines need argument types defined
# for compatibility with some platforms, e.g. macOS ARM64. With argtypes
# defined, arrays are automatically cast and byref() calls are not needed.
create_polygon = GeomOutput(
"GEOSGeom_createPolygon",
argtypes=[GEOM_PTR, POINTER(GEOM_PTR), c_uint],
)
create_empty_polygon = GeomOutput("GEOSGeom_createEmptyPolygon", argtypes=[])
create_collection = GeomOutput(
"GEOSGeom_createCollection",
argtypes=[c_int, POINTER(GEOM_PTR), c_uint],
)
# Ring routines
get_extring = GeomOutput("GEOSGetExteriorRing", argtypes=[GEOM_PTR])
get_intring = GeomOutput("GEOSGetInteriorRingN", argtypes=[GEOM_PTR, c_int])
get_nrings = IntFromGeom("GEOSGetNumInteriorRings")
# Collection Routines
get_geomn = GeomOutput("GEOSGetGeometryN", argtypes=[GEOM_PTR, c_int])
# Cloning
geom_clone = GEOSFuncFactory("GEOSGeom_clone", argtypes=[GEOM_PTR], restype=GEOM_PTR)
# Destruction routine.
destroy_geom = GEOSFuncFactory("GEOSGeom_destroy", argtypes=[GEOM_PTR])
# SRID routines
geos_get_srid = GEOSFuncFactory("GEOSGetSRID", argtypes=[GEOM_PTR], restype=c_int)
geos_set_srid = GEOSFuncFactory("GEOSSetSRID", argtypes=[GEOM_PTR, c_int]) | PypiClean |
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/DamPy-0.12.9.tar.gz/DamPy-0.12.9/dampy/lib/Env.py |
import os
import logging
import csv
class Env:
'''
Provides a handle to work with the local file system
Initialized with a directory which is the base under which reads and writes can be performed
'''
def __init__(self, dir):
'''
Initialize an Env instance with a directory
'''
if not dir:
self.dir = '.'
self.dir = str(dir)
def _ensure(self, asset, retain_dam_path=True):
'''
Checks and creates the folders needed under the env directory to store an asset
and returns the full path reference for an asset
'''
logging.debug("Dir : "+str(self.dir))
logging.debug("asset : "+str(asset))
logging.debug("asset : "+str(asset))
if retain_dam_path:
full_path = self.dir + asset
dir_path = os.path.dirname(full_path)
else:
full_path = self.dir + '/' + os.path.basename(asset)
dir_path = os.path.dirname(full_path)
if not os.path.isdir(dir_path):
os.makedirs(dir_path)
return full_path
def store(self, asset, content, retain_dam_path=True):
'''
Stores the asset under the directory represented by this env
'''
full_path = self._ensure(asset, retain_dam_path)
f_out = open(full_path, 'wb')
f_out.write(content)
f_out.close()
def listFiles(self):
'''
Returns list of all the files present under the directory represented by this env
'''
files = []
for r, d, f in os.walk(self.dir):
for file in f:
files.append(os.path.join(r, file).replace("\\","/"))
return files
def listDirs(self):
'''
Returns list of all the files present under the directory represented by this env
'''
dirs = []
for r, d, f in os.walk(self.dir):
for dir in d:
dirs.append(os.path.join(r, dir).replace("\\","/"))
return dirs
def writeCSV(self, fname, list=None, data=None):
'''
Writes the data to the file under the directory represented by this env
'''
full_path = self._ensure(fname, False)
with open(full_path, 'w', newline='') as csvout:
wr = csv.writer(csvout, dialect='excel')
if list:
for v in list:
wr.writerow([v])
elif data:
for v in data:
wr.writerow(v) | PypiClean |
/EnergyCapSdk-8.2304.4743.tar.gz/EnergyCapSdk-8.2304.4743/energycap/sdk/models/report_distribution_create_request_py3.py |
from msrest.serialization import Model
class ReportDistributionCreateRequest(Model):
"""ReportDistributionCreateRequest.
All required parameters must be populated in order to send to Azure.
:param specific_report_id: Required. The id of the report to distribute
A new copy of the report will be created for the distribution with the
filters specified in this request
Any changes to the existing report will not effect the distribution copy
Only SSRS reports are supported <span
class='property-internal'>Required</span>
:type specific_report_id: int
:param report_distribution_name: Required. The name of the report
distribution <span class='property-internal'>Must be between 0 and 255
characters</span> <span class='property-internal'>Required</span>
:type report_distribution_name: str
:param report_filters: Required. List of filters to apply to the report
<span class='property-internal'>Required</span>
:type report_filters: list[~energycap.sdk.models.FilterEdit]
:param reply_to_email: The email address the receiver should reply to
<span class='property-internal'>Must be between 0 and 128
characters</span>
:type reply_to_email: str
:param recipient_user_group_ids: Required. The id of each user group that
should receive the report <span class='property-internal'>Cannot be
Empty</span> <span class='property-internal'>Required</span>
:type recipient_user_group_ids: list[int]
:param email_subject: Required. The subject line of the email <span
class='property-internal'>Must be between 0 and 255 characters</span>
<span class='property-internal'>Required</span>
:type email_subject: str
:param email_message: Required. The body of the email <span
class='property-internal'>Required</span>
:type email_message: str
:param report_subscription_schedule_type_id: Required. The schedule type
of the report
Values may be:
Daily: 1
Weekly: 2
Monthly: 3
Quarterly: 4 <span class='property-internal'>Required</span> <span
class='property-internal'>One of 1, 2, 3, 4 </span>
:type report_subscription_schedule_type_id: int
:param day_indicator_value: Required. Indicates when to send the report
for the given schedule type
Values may be:
Daily: 0
Weekly: Day of Week - 0 (Sunday) to 6 (Saturday)
Monthly: Day of Month - 1 to 28
Quarterly: Month in Quarter - 1, 2, or 3 <span
class='property-internal'>Must be between 0 and 28</span> <span
class='property-internal'>Required</span>
:type day_indicator_value: int
:param only_send_if_data: Required. Indicates whether or not to email a
report if it contains no data.
When set to true, the subscribed report will not be emailed, if the report
does not contain data.
When set to false, if the requested report has no data, it will still be
sent. <span class='property-internal'>Required</span>
:type only_send_if_data: bool
:param report_format: Required. The format in which the generated report
should be downloaded <span class='property-internal'>Required</span> <span
class='property-internal'>One of Excel, Excel data only, Csv, PDF, Word
</span>
:type report_format: str
"""
_validation = {
'specific_report_id': {'required': True},
'report_distribution_name': {'required': True, 'max_length': 255, 'min_length': 0},
'report_filters': {'required': True},
'reply_to_email': {'max_length': 128, 'min_length': 0},
'recipient_user_group_ids': {'required': True},
'email_subject': {'required': True, 'max_length': 255, 'min_length': 0},
'email_message': {'required': True},
'report_subscription_schedule_type_id': {'required': True},
'day_indicator_value': {'required': True, 'maximum': 28, 'minimum': 0},
'only_send_if_data': {'required': True},
'report_format': {'required': True},
}
_attribute_map = {
'specific_report_id': {'key': 'specificReportId', 'type': 'int'},
'report_distribution_name': {'key': 'reportDistributionName', 'type': 'str'},
'report_filters': {'key': 'reportFilters', 'type': '[FilterEdit]'},
'reply_to_email': {'key': 'replyToEmail', 'type': 'str'},
'recipient_user_group_ids': {'key': 'recipientUserGroupIds', 'type': '[int]'},
'email_subject': {'key': 'emailSubject', 'type': 'str'},
'email_message': {'key': 'emailMessage', 'type': 'str'},
'report_subscription_schedule_type_id': {'key': 'reportSubscriptionScheduleTypeId', 'type': 'int'},
'day_indicator_value': {'key': 'dayIndicatorValue', 'type': 'int'},
'only_send_if_data': {'key': 'onlySendIfData', 'type': 'bool'},
'report_format': {'key': 'reportFormat', 'type': 'str'},
}
def __init__(self, *, specific_report_id: int, report_distribution_name: str, report_filters, recipient_user_group_ids, email_subject: str, email_message: str, report_subscription_schedule_type_id: int, day_indicator_value: int, only_send_if_data: bool, report_format: str, reply_to_email: str=None, **kwargs) -> None:
super(ReportDistributionCreateRequest, self).__init__(**kwargs)
self.specific_report_id = specific_report_id
self.report_distribution_name = report_distribution_name
self.report_filters = report_filters
self.reply_to_email = reply_to_email
self.recipient_user_group_ids = recipient_user_group_ids
self.email_subject = email_subject
self.email_message = email_message
self.report_subscription_schedule_type_id = report_subscription_schedule_type_id
self.day_indicator_value = day_indicator_value
self.only_send_if_data = only_send_if_data
self.report_format = report_format | PypiClean |
/CryptoLyzer-0.9.1-py3-none-any.whl/cryptolyzer/httpx/analyzer.py |
import abc
from collections import OrderedDict
import attr
from cryptoparser.common.utils import get_leaf_classes
from cryptoparser.httpx.version import HttpVersion
from cryptolyzer.common.analyzer import ProtocolHandlerBase
from cryptolyzer.common.result import AnalyzerResultHttp
from cryptolyzer.httpx.headers import AnalyzerHeaders
class ProtocolHandlerHttpBase(ProtocolHandlerBase):
@classmethod
@abc.abstractmethod
def _get_version(cls):
raise NotImplementedError()
@classmethod
def get_protocol(cls):
return cls._get_version().value.identifier
@classmethod
def _get_analyzer_args(cls):
return ([], {'protocol_version': cls._get_version()})
@classmethod
def _l7_client_from_uri(cls, uri):
for analyzer_class in cls.get_analyzers():
for client_class in analyzer_class.get_clients():
if client_class.get_scheme() == uri.scheme:
return client_class.from_uri(uri)
raise NotImplementedError()
class ProtocolHandlerHttpExactVersion(ProtocolHandlerHttpBase):
@classmethod
@abc.abstractmethod
def _get_version(cls):
raise NotImplementedError()
class ProtocolHandlerHttp11(ProtocolHandlerHttpExactVersion):
@classmethod
def get_analyzers(cls):
return (
AnalyzerHeaders,
)
@classmethod
def _get_version(cls):
return HttpVersion.HTTP1_1
@attr.s
class AnalyzerResultHttpAllSupportedVersions(AnalyzerResultHttp):
results = attr.ib(validator=attr.validators.instance_of(OrderedDict))
def _asdict(self):
results = []
for version, result in iter(self.results.items()):
result_as_dict = result._asdict()
del result_as_dict['target']
results.append((version.value, result_as_dict))
return OrderedDict([('target', self.target)] + results)
class ProtocolHandlerHttpAllSupportedVersions(ProtocolHandlerHttpBase):
@classmethod
def get_analyzers(cls):
return ProtocolHandlerHttp11.get_analyzers()
@classmethod
def get_protocol(cls):
return 'http'
@classmethod
def _get_version(cls):
raise NotImplementedError()
def analyze(self, analyzer, uri, timeout=None):
results = []
target = None
for protocol_handler_class in get_leaf_classes(ProtocolHandlerHttpExactVersion):
if isinstance(analyzer, protocol_handler_class.get_analyzers()):
result = protocol_handler_class().analyze(analyzer, uri, timeout)
target = result.target
results.append(
(protocol_handler_class._get_version(), result) # pylint: disable=protected-access
)
return AnalyzerResultHttpAllSupportedVersions(target, OrderedDict(results)) | PypiClean |
/Fumagalli_Motta_Tarantino_2020-0.5.3.tar.gz/Fumagalli_Motta_Tarantino_2020-0.5.3/Fumagalli_Motta_Tarantino_2020/Configurations/FindConfig.py | import random
from numpy import arange
from typing import Callable
import Fumagalli_Motta_Tarantino_2020.Configurations.StoreConfig as StoreConfig
import Fumagalli_Motta_Tarantino_2020.Models.Base as Base
import Fumagalli_Motta_Tarantino_2020.Models.Types as Types
import Fumagalli_Motta_Tarantino_2020.Models.Distributions as Distributions
class ParameterModelGenerator:
"""
Generates a random set of parameters for Fumagalli_Motta_Tarantino_2020.Models.Base.CoreModel.
"""
def __init__(
self,
lower=0.01,
upper=0.99,
step=0.01,
):
"""
Sets the list of choices to draw the set of parameters from.
Parameters
----------
lower: float
Lower thresholds of the range of choices.
upper: float
Upper thresholds of the range of choices.
step: float
Step between to choices in the range.
"""
self.lower = lower
self.upper = upper
self.step = step
def get_parameter_model(self, **kwargs) -> StoreConfig.ParameterModel:
"""
Draws a random set of parameters.
Parameters
----------
**kwargs
Constant inputs for the parameter model.
Returns
-------
StoreConfig.ParameterModel
ParameterModel containing the set of parameters.
"""
choices = list(arange(self.lower, self.upper, self.step))
choice = random.choices(choices, k=11)
choice = [round(i, ndigits=2) for i in choice]
return StoreConfig.ParameterModel(
merger_policy=kwargs.get("merger_policy", Types.MergerPolicies.Strict),
development_costs=kwargs.get("development_costs", choice[0]),
startup_assets=kwargs.get("startup_assets", choice[1]),
success_probability=kwargs.get("success_probability", choice[2]),
development_success=kwargs.get("development_success", True),
private_benefit=kwargs.get("private_benefit", choice[3]),
consumer_surplus_without_innovation=kwargs.get(
"consumer_surplus_without_innovation", choice[4]
),
incumbent_profit_without_innovation=kwargs.get(
"incumbent_profit_without_innovation", choice[5]
),
consumer_surplus_duopoly=kwargs.get("consumer_surplus_duopoly", choice[6]),
incumbent_profit_duopoly=kwargs.get("incumbent_profit_duopoly", choice[7]),
startup_profit_duopoly=kwargs.get("startup_profit_duopoly", choice[8]),
consumer_surplus_with_innovation=kwargs.get(
"consumer_surplus_with_innovation", choice[9]
),
incumbent_profit_with_innovation=kwargs.get(
"incumbent_profit_with_innovation", choice[10]
),
)
class RandomConfig:
"""
Finds a random configuration satisfying specific requirements.
Example
--------
```
import Fumagalli_Motta_Tarantino_2020 as FMT20
# search for a random configuration -> this can take a while
config = FMT20.RandomConfig(laissez_faire_optimal=True).find_config()
model = FMT20.OptimalMergerPolicy(**config())
print(model.is_laissez_faire_optimal())
```
"""
def __init__(
self,
parameter_generator=ParameterModelGenerator(),
model_type: Callable = Base.OptimalMergerPolicy,
callable_condition: Callable = None,
strict_optimal=None,
intermediate_optimal=None,
laissez_faire_optimal=None,
is_killer_acquisition=None,
**kwargs
):
"""
Specify the requirements to satisfy in the model to find.
Parameters
----------
parameter_generator: ParameterModelGenerator
Generator for random sets of parameters
model_type: Callable
Type of the model to find the parameters for (conforms to Base.OptimalMergerPolicy).
callable_condition: Callable
Lambda with model as input and boolean as output (True equals satisfied requirement).
strict_optimal: Optional[bool]
If True, the model has a strict policy as optimal policy.
intermediate_optimal: Optional[bool]
If True, the model has an intermediate policy as optimal policy.
laissez_faire_optimal: Optional[bool]
If True, the model has a laissez-faire policy as optimal policy.
is_killer_acquisition: Optional[bool]
If True, the model facilitates a killer acquisition.
**kwargs
Constant inputs for the parameter model.
"""
self.parameter_generator = parameter_generator
self._model_type = model_type
self.strict_optimal = strict_optimal
self.intermediate_optimal = intermediate_optimal
self.laissez_faire_optimal = laissez_faire_optimal
self.is_killer_acquisition = is_killer_acquisition
self.callable_condition = callable_condition
self._kwargs = kwargs
def _check_conditions(self, model: Base.OptimalMergerPolicy) -> bool:
if not self._check_condition(model.is_strict_optimal(), self.strict_optimal):
return False
if not self._check_condition(
model.is_intermediate_optimal(), self.intermediate_optimal
):
return False
if not self._check_condition(
model.is_laissez_faire_optimal(), self.laissez_faire_optimal
):
return False
if not self._check_condition(
model.is_killer_acquisition(), self.is_killer_acquisition
):
return False
if not self._check_callable_condition(self.callable_condition, model):
return False
return True
@staticmethod
def _check_callable_condition(condition: Callable, model: Base.OptimalMergerPolicy):
if condition is not None:
return condition(model)
return True
@staticmethod
def _check_condition(value: bool, check: bool) -> bool:
if check is not None:
if value == check:
return True
else:
return False
return True
def find_config(self) -> StoreConfig.ParameterModel:
"""
Triggers the process of finding a set of parameters satisfying the requirements.
Note: This can take a while, depending on the given conditions (or sometimes it is not possible to find a set
of parameters).
Returns
-------
StoreConfig.ParameterModel
ParameterModel containing the set of parameters.
"""
while True:
try:
parameter_model: StoreConfig.ParameterModel = (
self.parameter_generator.get_parameter_model(**self._kwargs)
)
model = self._get_model(parameter_model)
if self._check_conditions(model):
return parameter_model
else:
pass
except AssertionError:
pass
def _get_model(self, parameter_model):
model = self._model_type(
**parameter_model(),
asset_distribution=self._kwargs.get(
"asset_distribution", Distributions.UniformDistribution
),
)
return model | PypiClean |
/AutoAsd-0.2.9-py3-none-any.whl/autoasd/asd_controls.py | from pywinauto import Application
from pywinauto import keyboard
from pywinauto import findwindows
import warnings
import pyautogui
from pywinauto import mouse
import imp
import time
import datetime
import os
computer='desktop'
if computer=='new' or computer =='desktop':
IMG_LOC='img2'
elif computer=='old':
IMG_LOC='img'
global COLORS
COLORS={'status':None, 'file_highlight':''}
global INDEXNUMLEN
if computer=='old':
COLORS['file_highlight']=(51,153,255)
COLORS['status']=(0,0,168)
INDEXNUMLEN=3
elif computer=='new' or computer=='desktop':
COLORS['file_highlight']=(0,120,215)
INDEXNUMLEN=5
warnings.simplefilter('ignore', category=UserWarning)
class RS3Controller:
def __init__(self, share_loc,RS3_loc):
self.RS3_loc=RS3_loc
self.share_loc=share_loc
self.app=Application()
self.save_dir=''
self.basename=''
self.nextnum=None
self.hopefully_saved_files=[]
self.failed_to_open=False
self.numspectra=None
self.wr_success=False
self.wr_failure=False
self.opt_complete=False
self.interval=0.25
try:
#print(errortime)
self.app=Application().connect(path=RS3_loc)
except:
print('\tStarting RS³')
self.app=Application().start(RS3_loc)
print('\tConnected to RS3')
self.spec=None
self.spec_connected=False
self.spec=self.app.ThunderRT6Form
self.spec.draw_outline()
self.pid=self.app.process
self.menu=RS3Menu(self.app)
def check_connectivity(self):
try:
top_window=top=self.app.top_window()
except Exception as e:
print(e)
return False
try:
top_element=findwindows.find_element(handle=top_window.handle)
if top_element.name=='TCP Servers Not Found.\r\nCheck Connection':
return False
elif top_element.name=='Check Connection':
return False
elif top_element.name=='Searching for TCP Servers...':
return False
elif top_element.name=='TCP Servers Not Found.':
return False
elif top_element.name=='Check Connection':
return False
elif top_element.name=='Connecting...':
print('Connecting...')
return False
elif 'Initializing' in top_element.name:
print('Initializing...')
return False
elif 'Unable to connect' in top_element.name:
return False
elif top_element.name=='RS³':
return False
elif 'was lost' in top_element.name:
return False
elif top_element.name=='':
return True
elif top_element.name=='About':
print('About, returning false')
return False
elif top_element.name=='Unable to collect at current gain and offset values. Please optimize instrument.':
print('Optimize instrument before collecting data.')
return True
elif top_element.name=='Type mismatch':
return False
elif 'Connected to' in top_element.name:
return True
elif top_element.name=='RS³ 18483 1':
return True
else:
if 'Initial' in top_element.name:
print('Why is this initializing unexpected?')
print('unexpected name:')
print(top_element.name)
return True
except Exception as e:
print(e)
return True
def take_spectrum(self, filename):
self.spec.set_focus()
time.sleep(1)
pyautogui.press('space')
self.hopefully_saved_files.append(filename) #Know to expect this file in the data directory
self.nextnum=str(int(self.nextnum)+1)
while len(self.nextnum)<INDEXNUMLEN:
self.nextnum='0'+self.nextnum
def white_reference(self):
self.spec.set_focus()
keyboard.SendKeys('{F4}')
start_timeout=10
t=0
started=False
while not started and t<start_timeout:
loc=find_image(IMG_LOC+'/status_color.png', rect=self.spec.ThunderRT6PictureBoxDC6.rectangle())
if loc != None:
started=True
else:
time.sleep(self.interval)
t+=self.interval
if t>=start_timeout:
print('wr failed')
self.wr_failure=True
return
print('wr started')
finish_timeout=10+int(self.numspectra)/9
t=0
finished=False
while not finished and t<finish_timeout:
loc=find_image(IMG_LOC+'/white_status.png', rect=self.spec.ThunderRT6PictureBoxDC6.rectangle())
if loc != None:
finished=True
else:
time.sleep(self.interval)
t+=self.interval
if t>= finish_timeout:
self.wr_failure=True
print('wr failed')
return
time.sleep(2)#This is important! Otherwise the spectrum won't be saved because the spacebar will get pushed before RS3 is ready for it.
print('wr succeeded')
self.wr_success=True
#When you press optimize, first look for the word 'optimizing', then wait for the status bar to be white
#for a few seconds. After that happens, wait for blue to turn up again in the status bar, and at that
#point you are ready to take a spectrum.
def optimize(self):
self.opt_complete=False
self.spec.set_focus()
keyboard.SendKeys('^O')
started=False
t=0
timeout=30
while not started and t<timeout:
loc=find_image(IMG_LOC+'/optimizing.png', rect=self.spec.ThunderRT6Frame3.rectangle())
if loc != None:
started=True
print('Initialized optimization')
else:
t+=.1 #Note there is no sleeping. If we sleep, we might miss the words appearing on the screen, which aren't always there for long.
if t%5==0: print(t)
if not started:
print('opt timed out')
raise Exception('Optimization timed out')
time.sleep(int(self.numspectra)/100) #make sure we don't find the white status bar while it is still getting set up instead of after it completes.
finished=False
t=0
timeout=10+int(self.numspectra)/9
while not finished and t<timeout:
loc=find_image(IMG_LOC+'/white_status.png', rect=self.spec.ThunderRT6PictureBoxDC5.rectangle())
if loc != None:
print('Found white status')
while not finished and t<timeout:
loc=find_image(IMG_LOC+'/white_status.png', rect=self.spec.ThunderRT6PictureBoxDC5.rectangle())
if loc!=None:
finished=True
else:
time.sleep(self.interval)
t=t+self.interval
else:
time.sleep(self.interval)
t=t+self.interval
if not finished:
print('opt timed out 1')
raise Exception('Optimization timed out')
print('Completed optimization')
ready=False
t=0
timeout=10+int(self.numspectra)/9
while not ready and t<timeout:
loc=find_image(IMG_LOC+'/status_color.png', rect=self.spec.ThunderRT6PictureBoxDC5.rectangle())
if loc != None:
ready=True
else:
time.sleep(self.interval)
t=t+self.interval
if not ready:
print('opt timed out 2')
raise Exception('Optimization timed out')
sleep=int(self.numspectra)/500+1
time.sleep(sleep)
print('Instrument ready')
self.opt_complete=True
def instrument_config(self, numspectra):
pauseafter=False
if self.numspectra==None or int(self.numspectra)<20 or True:
pauseafter=True
self.numspectra=numspectra
config=self.app['Instrument Configuration']
if config.exists()==False:
self.menu.open_control_dialog([IMG_LOC+'/rs3adjustconfig.png',IMG_LOC+'/rs3adjustconfig2.png'])
t=0
while config.exists()==False and t<10:
print('waiting for instrument config panel')
time.sleep(self.interval)
t+=self.interval
if config.exists()==False:
print('ERROR: Failed to open instrument configuration dialog')
self.failed_to_open=True
return
config.Edit3.set_edit_text(str(numspectra)) #probably done twice to set numspectra for wr and taking spectra.
config.Edit.set_edit_text(str(numspectra))
config.set_focus()
config.ThunderRT6PictureBoxDC.click_input()
if pauseafter:
time.sleep(2)
print('Instrument configuration set with '+str(numspectra)+' spectra being averaged')
def spectrum_save(self, dir, base, startnum, numfiles=1, interval=0, comment=None, new_file_format=False):
self.save_dir=dir
self.basename=base
self.nextnum=str(startnum)
while len(self.nextnum)<INDEXNUMLEN:
self.nextnum='0'+self.nextnum
save=self.app['Spectrum Save']
if save.exists()==False:
self.menu.open_control_dialog([IMG_LOC+'/rs3specsave.png',IMG_LOC+'/rs3specsave2.png'])
for _ in range(int(2.5/self.interval)):
save=self.app['Spectrum Save']
if save.exists():
break
else:
print('no spectrum save yet')
time.sleep(self.interval)
if save.exists()==False:
print('ERROR: Failed to open save dialog')
raise Exception
return
save.Edit6.set_edit_text(dir)
save.Edit7.set_edit_text('')
save.Edit5.set_edit_text(base)
save.Edit4.set_edit_text(startnum)
save.set_focus()
okfound=False
controls=[save.ThunderRT6PictureBoxDC3,save.ThunderRT6PictureBoxDC2, save.ThunderRT6PictureBox]
while True:
for control in controls:
control.draw_outline()
rect=control.rectangle()
loc=find_image(IMG_LOC+'/rs3ok.png', rect=rect)
if loc != None:
control.click_input()
okfound=True
break
if okfound:
break
print('searching for OK button')
time.sleep(0.5)
message=self.app['Message']
if message.exists():
self.app['Message'].set_focus()
keyboard.SendKeys('{ENTER}')
# message=self.app['Message']
# if message.exists():
# pyautogui.alert('addess message in RS3 to continue')
class ViewSpecProController:
def __init__(self, share_loc, ViewSpecPro_loc):
self.app=Application()
#self.logdir=logdir
self.ViewSpecPro_loc=ViewSpecPro_loc
self.share_loc=share_loc
try:
self.app=Application().connect(path=self.ViewSpecPro_loc)
except:
print('Starting ViewSpec Pro')
self.app=Application().start(ViewSpecPro_loc)
self.spec=self.app['ViewSpec Pro Version 6.2']
self.pid=self.app.process
if self.spec.exists(): print('\tConnected to ViewSpec Pro')
def reset(self):
while self.app.Dialog.exists():
self.app.Dialog.close()
def process(self, input_path, output_path, tsv_name):
files=os.listdir(output_path)
for file in files:
if '.sco' in file:
os.remove(output_path+'\\'+file)
print('processing files')
self.spec.menu_select('File -> Close')
self.open_files(input_path)
time.sleep(1)
self.set_save_directory(output_path)
self.splice_correction()
self.ascii_export(output_path, tsv_name)
print('Processing complete. Cleaning directory.')
self.spec.menu_select('File -> Close')
files=os.listdir(output_path)
for file in files:
if '.sco' in file:
os.remove(output_path+'\\'+file)
print('Finished.')
def open_files(self, path):
print('Opening files from '+path)
self.spec.menu_select('File -> Open')
open=wait_for_window(self.app,'Select Input File(s)')
open.set_focus()
open['Address Band Root'].toolbar.button(0).click()
#open['Address Band Root'].edit.set_edit_text(path)
keyboard.SendKeys(path)
open['Address Band Root'].edit.set_focus()
keyboard.SendKeys('{ENTER}')
print('opened files!')
time.sleep(0.5) #Of this and next two sleeps, not sure if 1 or all is needed.
#Make sure *.0** files are visible instead of just *.asd. Note that this won't work if you have over 100 files!!
open.ComboBox2.select(0).click()
time.sleep(0.5)
open.ComboBox2.select(0).click()
time.sleep(0.5)
open.directUIHWND.ShellView.set_focus()
keyboard.SendKeys('^a')
keyboard.SendKeys('{ENTER}')
def set_save_directory(self,path, force=False):
print('setting save directory')
print(path)
print('updated')
tries=10
while tries>0:
try:
dict=self.spec.menu().get_properties()
tries=-1
except:
print('Retrying')
time.sleep(3)
dict=self.spec.menu().get_properties()
tries-=1
print(dict)
output_text=dict['menu_items'][3]['menu_items']['menu_items'][1]['text']
print(output_text)
self.spec.menu_select('Setup -> '+output_text)
print('next')
timeout=30
save=None
while timeout>0 and save==None:
try:
save=self.app['New Directory Path']
except:
time.sleep(3)
timeout-=3
path_el=path.split('\\')
if path_el[0].upper()=='C:':
for el in path_el:
if el.upper()=='C:':
#On some versions of Windows, ListBox will have c:\\, in others it has C:\\. Try both.
try:
save.ListBox.select('c:\\')
except:
save.ListBox.select('C:\\')
else:
save.ListBox.select(el)
print('Selecting '+el)
self.select_item(save.ListBox.rectangle())
print('Done')
else:
print('Invalid directory (must save to C drive)')
# path_el=['C:\\','Users','RS3Admin','Temp']
# for el in path_el:
# save.ListBox.select(el)
# self.select_item(save.ListBox.rectangle())
save.OKButton.click()
print('Clicked ok.')
#If a dialog box comes up asking if you want to set the default input directory the same as the output, click no. Not sure if there is a different dialog box that could come up, so this doesn't seem very robust.
try:
self.app['Dialog'].Button2.click()
except:
pass
#print('save directory set!')
def splice_correction(self):
print('Applying splice correction.')
delay=self.spec.ListBox.item_count()/40+0.5 #We'll wait this long before clicking a button later.
print(delay)
self.select_all()
self.spec.menu_select('Process -> Splice Correction')
self.app['Splice Correct Gap'].set_focus()
self.app['Splice Correct Gap'].button1.click_input()
time.sleep(delay) #Needs to be longer depending on how many files you are processing.
try:
self.app['ViewSpecPro'].set_focus()
self.app['ViewSpecPro'].button1.draw_outline()
self.app['ViewSpecPro'].button1.click_input()
except:
print('Could not find dialog. Retrying')
tries_remaining=100
while tries_remaining>0:
time.sleep(5)
try:
self.app['ViewSpecPro'].set_focus()
self.app['ViewSpecPro'].button1.draw_outline()
self.app['ViewSpecPro'].button1.click_input()
tries_remaining=-1
except:
print('Could not find dialog. Retrying')
tries_remaining-=1
def ascii_export(self, path, tsv_name):
print('Doing ASCII export.')
self.select_all()
self.spec.menu_select('Process -> ASCII Export')
export=self.app['ASCII Export']
export.ReflectanceRadioButton.check()
export.AbsoluteCheckBox.check()
export.OutputToASingleFileCheckBox.check()
export.set_focus()
time.sleep(2)
export.Button2.click_input()
save=self.app['Select Ascii File']
save.set_focus()
save.ToolBar2.double_click()
keyboard.SendKeys(path)
keyboard.SendKeys('{ENTER}')
save.edit.set_edit_text(tsv_name)
save.set_focus()
time.sleep(2)
save.OKButton.click_input()
time.sleep(5)
try:
self.app['Dialog'].OKButton.click()
except:
time.sleep(30)
try:
print('Retrying')
self.app['Dialog'].OKButton.click()
except:
timeout=800
while 'Dialog' not in self.app and timeout>0:
print('Still looking...')
time.sleep(10)
timeout-=10
self.app['Dialog'].OKButton.click()
def select_all(self):
for i in range(self.spec.ListBox.item_count()):
self.spec.ListBox.select(i)
def select_item(self,rectangle):
#set start position at center top of listbox
im=pyautogui.screenshot()
x=rectangle.left+0.5*(rectangle.right-rectangle.left)
x=int(x)
y=rectangle.top
while y<rectangle.bottom:
if pyautogui.pixelMatchesColor(x,y,COLORS['file_highlight']):
pyautogui.click(x=x,y=y, clicks=2)
print('click')
return
y=y+3
class RS3Menu:
def __init__(self, app):
self.app=app
self.display_delta_x=125
self.control_delta_x=180
self.GPS_delta_x=235
self.help_delta_x=270
def open_control_dialog(self, menuitems, timeout=10):
self.spec=self.app['RS³ 18483 1']
if self.spec.exists()==False:
print('RS3 not found. Failed to open save menu')
return
self.spec.set_focus()
time.sleep(0.25) #Not sure if this is needed. On desktop, was clicking inside pyzo sometimes.
x_left=self.spec.rectangle().left
y_top=self.spec.rectangle().top
while x_left<-10 or y_top<-10:
x_left=self.spec.rectangle().left
y_top=self.spec.rectangle().top
time.sleep(0.25)
width=300
height=50
controlregion=(x_left, y_top, width, height)
loc=None
found=False
for _ in range(10*timeout):
loc=find_image(IMG_LOC+'/rs3control.png',loc=controlregion)
print(loc)
if loc==None:
print('Searching for image 2')
loc=find_image(IMG_LOC+'/rs3control2.png',loc=controlregion)
time.sleep(0.25)
else:
x=loc[0]+controlregion[0]
y=loc[1]+controlregion[1]
mouse.click(coords=(x,y))
menuregion=(x, y, 100, 300)
#Now that you've opened the menu, find the menu item.
for _ in range(4*timeout):
loc2=find_image(menuitems[0], loc=menuregion)
if loc2==None and len(menuitems)>1:
loc2=find_image(menuitems[1], loc=menuregion)
if loc2 != None:
x=loc2[0]+menuregion[0]
y=loc2[1]+menuregion[1]
mouse.click(coords=(x,y))
found=True
break
else:
print('Searching for menu item')
time.sleep(0.25)
#mouse.click(coords=(self.x_left+self.control_delta_x, self.y_menu))
# for i in range(number):
# keyboard.SendKeys('{DOWN}')
# keyboard.SendKeys('{ENTER}')
break
if not found:
print('Menu item not found')
raise Exception('Menu item not found')
def wait_for_window(app, title, timeout=5):
spec=app[title]
i=0
while spec.exists()==False and i<timeout:
try:
spec=self.app[title]
except:
i=i+1
time.sleep(1)
return spec
def find_image(image, rect=None, loc=None):
if rect != None:
screenshot=pyautogui.screenshot(region=(rect.left, rect.top, rect.width(), rect.height()))
else:
screenshot=pyautogui.screenshot(region=loc)
location=pyautogui.locate(image, screenshot)
return location | PypiClean |
/OSlash-0.6.3-py3-none-any.whl/oslash/ioaction.py |
from abc import abstractmethod
from typing import Any, Callable, Generic, TypeVar, Tuple
from .typing import Functor
from .typing import Monad
from .util import indent as ind, Unit
TSource = TypeVar("TSource")
TResult = TypeVar("TResult")
class IO(Generic[TSource]):
"""A container for a world remaking function.
IO Actions specify something that can be done. They are not active
in and of themselves. They need to be "run" to make something
happen. Simply having an action lying around doesn't make anything
happen.
"""
@classmethod
def unit(cls, value: TSource):
return Return(value)
@abstractmethod
def bind(self, func: Callable[[TSource], "IO[TResult]"]) -> "IO[TResult]":
"""IO a -> (a -> IO b) -> IO b."""
raise NotImplementedError
@abstractmethod
def map(self, func: Callable[[TSource], TResult]) -> "IO[TResult]":
raise NotImplementedError
@abstractmethod
def run(self, world: int) -> TSource:
"""Run IO action."""
raise NotImplementedError
def __or__(self, func):
"""Use | as operator for bind.
Provide the | operator instead of the Haskell >>= operator
"""
return self.bind(func)
def __rshift__(self, next: 'IO[TResult]') -> 'IO[TResult]':
"""The "Then" operator.
Sequentially compose two monadic actions, discarding any value
produced by the first, like sequencing operators (such as the
semicolon) in imperative languages.
Haskell: (>>) :: m a -> m b -> m b
"""
return self.bind(lambda _: next)
def __call__(self, world: int = 0) -> Any:
"""Run io action."""
return self.run(world)
@abstractmethod
def __str__(self, m: int = 0, n: int = 0) -> str:
raise NotImplementedError
def __repr__(self) -> str:
return self.__str__()
class Return(IO[TSource]):
def __init__(self, value: TSource) -> None:
"""Create IO Action."""
self._value = value
def map(self, func: Callable[[TSource], TResult]) -> "IO[TResult]":
return Return(func(self._value))
def bind(self, func: Callable[[TSource], "IO[TResult]"]) -> "IO[TResult]":
"""IO a -> (a -> IO b) -> IO b."""
return func(self._value)
def run(self, world: int) -> TSource:
"""Run IO action."""
return self._value
def __str__(self, m: int = 0, n: int = 0) -> str:
a = self._value
return f"{ind(m)}Return {a}"
class Put(IO[TSource]):
"""The Put action.
A container holding a string to be printed to stdout, followed by
another IO Action.
"""
def __init__(self, text: str, io: IO) -> None:
self._value = text, io
def bind(self, func: Callable[[TSource], IO[TResult]]) -> 'IO[TResult]':
"""IO a -> (a -> IO b) -> IO b"""
text, io = self._value
return Put(text, io.bind(func))
def map(self, func: Callable[[TSource], TResult]) -> "IO[TResult]":
# Put s (fmap f io)
assert self._value is not None
text, action = self._value
return Put(text, action.map(func))
def run(self, world: int) -> TSource:
"""Run IO action"""
assert self._value is not None
text, action = self._value
new_world = pure_print(world, text)
return action(world=new_world)
def __call__(self, world: int = 0) -> TSource:
return self.run(world)
def __str__(self, m: int = 0, n: int = 0) -> str:
s, io = self._value
a = io.__str__(m + 1, n)
return '%sPut ("%s",\n%s\n%s)' % (ind(m), s, a, ind(m))
class Get(IO[TSource]):
"""A container holding a function from string -> IO[TSource], which can
be applied to whatever string is read from stdin.
"""
def __init__(self, fn: Callable[[str], IO[TSource]]) -> None:
self._fn = fn
def bind(self, func: Callable[[TSource], IO[TResult]]) -> IO[TResult]:
"""IO a -> (a -> IO b) -> IO b"""
g = self._fn
return Get(lambda text: g(text).bind(func))
def map(self, func: Callable[[TSource], TResult]) -> IO[TResult]:
# Get (\s -> fmap f (g s))
g = self._fn
return Get(lambda s: g(s).map(func))
def run(self, world: int) -> TSource:
"""Run IO Action"""
func = self._fn
new_world, text = pure_input(world)
action = func(text)
return action(world=new_world)
def __call__(self, world: int = 0) -> TSource:
return self.run(world)
def __str__(self, m: int = 0, n: int = 0) -> str:
g = self._fn
i = "x%s" % n
a = g(i).__str__(m + 1, n + 1)
return "%sGet (%s => \n%s\n%s)" % (ind(m), i, a, ind(m))
class ReadFile(IO[str]):
"""A container holding a filename and a function from string -> IO[str],
which can be applied to whatever string is read from the file.
"""
def __init__(self, filename: str, func: Callable[[str], IO]) -> None:
self.open_func = open
self._value = filename, func
def bind(self, func: Callable[[Any], IO]) -> IO:
"""IO a -> (a -> IO b) -> IO b"""
filename, g = self._value
return ReadFile(filename, lambda s: g(s).bind(func))
def map(self, func: Callable[[Any], Any]) -> IO:
# Get (\s -> fmap f (g s))
filename, g = self._value
return Get(lambda s: g(s).map(func))
def run(self, world: int) -> str:
"""Run IO Action"""
filename, func = self._value
f = self.open_func(filename)
action = func(f.read())
return action(world=world + 1)
def __call__(self, world: int = 0) -> str:
return self.run(world)
def __str__(self, m: int = 0, n: int = 0) -> str:
filename, g = self._value
i = "x%s" % n
a = g(i).__str__(m + 2, n + 1)
return '%sReadFile ("%s",%s => \n%s\n%s)' % (ind(m), filename, i, a, ind(m))
def get_line() -> IO[str]:
return Get(Return)
def put_line(text: str) -> IO:
return Put(text, Return(Unit))
def read_file(filename: str) -> IO:
return ReadFile(filename, Return)
def pure_print(world: int, text: str) -> int:
print(text) # Impure. NOTE: If you see this line you need to wash your hands
return world + 1
def pure_input(world: int) -> Tuple[int, str]:
text = input() # Impure. NOTE: If you see this line you need to wash your hands
return (world + 1, text)
assert isinstance(IO, Functor)
assert isinstance(IO, Monad)
assert isinstance(Put, Functor)
assert isinstance(Put, Monad)
assert isinstance(Get, Functor)
assert isinstance(Get, Monad)
assert isinstance(ReadFile, Functor)
assert isinstance(ReadFile, Monad) | PypiClean |
/HawkScan-2.2.tar.gz/HawkScan-2.2/modules/check_socketio.py |
import socketio
import time
import os, sys
import traceback
import argparse
import json
# External
from config import PLUS, WARNING, INFO, LESS, LINE, FORBI, BACK
socketio_paths = [
"socket.io", "socketio", "io", "socket", "signalr", "xmpp-websocket", "websocket", ".ws", "ws"
]
class check_socketio:
"""
check_socketio: Check socketio connection without authentification. Possible found message, logs or other traces
"""
sio = socketio.Client(reconnection=False)
dynamic_function_number = 0
def connect(self, url, path):
try:
#print(url+path) #DEBUG
self.sio.connect(url, socketio_path=path)
return True
except Exception as e:
#print(e) #DEBUG
if "www." in url:
urli = url.replace("www.","")
self.connect(urli, path)
return e
return False
def disconnect(self):
try:
self.sio.disconnect()
except:
pass
def run_socketio(self, url, poutput):
"""
run_socketio:
Try socketio connection
"""
found_socket = False
for path in socketio_paths:
connect = self.connect(url, path)
if type(connect) == bool and connect:
print(" {} {}{} found !".format(PLUS, url, path))
domain = url.split("/")[2] if not "www" in url else ".".join(url.split("/")[2].split(".")[1:])
print(" {} Try this \"\033[36msudo apt install npm -y && npx wscat -c ws://{}/socket.io/?transport=websocket\033[0m\" \n If you have a 30X redirection you can try with 'wss://'".format(INFO, domain))
self.disconnect()
found_socket = True
elif not found_socket and poutput:
print(" \033[33m\u251c \033[0m {}{}: {}".format(url, path, connect))
if not found_socket:
print(" \033[33m{}\033[0m Nothing Socketio found".format(LESS))
def main_socketio(self, url):
print("\033[36m Websockets \033[0m")
print(LINE)
if "www." in url:
urls = []
urls.append(url)
urls.append(url.replace("www.", ""))
for u in urls:
print(" \033[34m\u251c\033[0m {}".format(u))
self.run_socketio(u, poutput=False)
else:
self.run_socketio(url, poutput=True)
"""if __name__ == '__main__':
url = sys.argv[1]
check_socketio = check_socketio()
check_socketio.run_socketio(url)""" | PypiClean |
/OBITools-1.2.13.tar.gz/OBITools-1.2.13/distutils.ext/obidistutils/serenity/pip/_vendor/distlib/wheel.py | from __future__ import unicode_literals
import base64
import codecs
import datetime
import distutils.util
from email import message_from_file
import hashlib
import imp
import json
import logging
import os
import posixpath
import re
import shutil
import sys
import tempfile
import zipfile
from . import __version__, DistlibException
from .compat import sysconfig, ZipFile, fsdecode, text_type, filter
from .database import InstalledDistribution
from .metadata import Metadata, METADATA_FILENAME
from .util import (FileOperator, convert_path, CSVReader, CSVWriter, Cache,
cached_property, get_cache_base, read_exports, tempdir)
from .version import NormalizedVersion, UnsupportedVersionError
logger = logging.getLogger(__name__)
cache = None # created when needed
if hasattr(sys, 'pypy_version_info'):
IMP_PREFIX = 'pp'
elif sys.platform.startswith('java'):
IMP_PREFIX = 'jy'
elif sys.platform == 'cli':
IMP_PREFIX = 'ip'
else:
IMP_PREFIX = 'cp'
VER_SUFFIX = sysconfig.get_config_var('py_version_nodot')
if not VER_SUFFIX: # pragma: no cover
VER_SUFFIX = '%s%s' % sys.version_info[:2]
PYVER = 'py' + VER_SUFFIX
IMPVER = IMP_PREFIX + VER_SUFFIX
ARCH = distutils.util.get_platform().replace('-', '_').replace('.', '_')
ABI = sysconfig.get_config_var('SOABI')
if ABI and ABI.startswith('cpython-'):
ABI = ABI.replace('cpython-', 'cp')
else:
def _derive_abi():
parts = ['cp', VER_SUFFIX]
if sysconfig.get_config_var('Py_DEBUG'):
parts.append('d')
if sysconfig.get_config_var('WITH_PYMALLOC'):
parts.append('m')
if sysconfig.get_config_var('Py_UNICODE_SIZE') == 4:
parts.append('u')
return ''.join(parts)
ABI = _derive_abi()
del _derive_abi
FILENAME_RE = re.compile(r'''
(?P<nm>[^-]+)
-(?P<vn>\d+[^-]*)
(-(?P<bn>\d+[^-]*))?
-(?P<py>\w+\d+(\.\w+\d+)*)
-(?P<bi>\w+)
-(?P<ar>\w+)
\.whl$
''', re.IGNORECASE | re.VERBOSE)
NAME_VERSION_RE = re.compile(r'''
(?P<nm>[^-]+)
-(?P<vn>\d+[^-]*)
(-(?P<bn>\d+[^-]*))?$
''', re.IGNORECASE | re.VERBOSE)
SHEBANG_RE = re.compile(br'\s*#![^\r\n]*')
if os.sep == '/':
to_posix = lambda o: o
else:
to_posix = lambda o: o.replace(os.sep, '/')
class Mounter(object):
def __init__(self):
self.impure_wheels = {}
self.libs = {}
def add(self, pathname, extensions):
self.impure_wheels[pathname] = extensions
self.libs.update(extensions)
def remove(self, pathname):
extensions = self.impure_wheels.pop(pathname)
for k, v in extensions:
if k in self.libs:
del self.libs[k]
def find_module(self, fullname, path=None):
if fullname in self.libs:
result = self
else:
result = None
return result
def load_module(self, fullname):
if fullname in sys.modules:
result = sys.modules[fullname]
else:
if fullname not in self.libs:
raise ImportError('unable to find extension for %s' % fullname)
result = imp.load_dynamic(fullname, self.libs[fullname])
result.__loader__ = self
parts = fullname.rsplit('.', 1)
if len(parts) > 1:
result.__package__ = parts[0]
return result
_hook = Mounter()
class Wheel(object):
"""
Class to build and install from Wheel files (PEP 427).
"""
wheel_version = (1, 1)
hash_kind = 'sha256'
def __init__(self, filename=None, sign=False, verify=False):
"""
Initialise an instance using a (valid) filename.
"""
self.sign = sign
self.should_verify = verify
self.buildver = ''
self.pyver = [PYVER]
self.abi = ['none']
self.arch = ['any']
self.dirname = os.getcwd()
if filename is None:
self.name = 'dummy'
self.version = '0.1'
self._filename = self.filename
else:
m = NAME_VERSION_RE.match(filename)
if m:
info = m.groupdict('')
self.name = info['nm']
# Reinstate the local version separator
self.version = info['vn'].replace('_', '-')
self.buildver = info['bn']
self._filename = self.filename
else:
dirname, filename = os.path.split(filename)
m = FILENAME_RE.match(filename)
if not m:
raise DistlibException('Invalid name or '
'filename: %r' % filename)
if dirname:
self.dirname = os.path.abspath(dirname)
self._filename = filename
info = m.groupdict('')
self.name = info['nm']
self.version = info['vn']
self.buildver = info['bn']
self.pyver = info['py'].split('.')
self.abi = info['bi'].split('.')
self.arch = info['ar'].split('.')
@property
def filename(self):
"""
Build and return a filename from the various components.
"""
if self.buildver:
buildver = '-' + self.buildver
else:
buildver = ''
pyver = '.'.join(self.pyver)
abi = '.'.join(self.abi)
arch = '.'.join(self.arch)
# replace - with _ as a local version separator
version = self.version.replace('-', '_')
return '%s-%s%s-%s-%s-%s.whl' % (self.name, version, buildver,
pyver, abi, arch)
@property
def exists(self):
path = os.path.join(self.dirname, self.filename)
return os.path.isfile(path)
@property
def tags(self):
for pyver in self.pyver:
for abi in self.abi:
for arch in self.arch:
yield pyver, abi, arch
@cached_property
def metadata(self):
pathname = os.path.join(self.dirname, self.filename)
name_ver = '%s-%s' % (self.name, self.version)
info_dir = '%s.dist-info' % name_ver
wrapper = codecs.getreader('utf-8')
with ZipFile(pathname, 'r') as zf:
wheel_metadata = self.get_wheel_metadata(zf)
wv = wheel_metadata['Wheel-Version'].split('.', 1)
file_version = tuple([int(i) for i in wv])
if file_version < (1, 1):
fn = 'METADATA'
else:
fn = METADATA_FILENAME
try:
metadata_filename = posixpath.join(info_dir, fn)
with zf.open(metadata_filename) as bf:
wf = wrapper(bf)
result = Metadata(fileobj=wf)
except KeyError:
raise ValueError('Invalid wheel, because %s is '
'missing' % fn)
return result
def get_wheel_metadata(self, zf):
name_ver = '%s-%s' % (self.name, self.version)
info_dir = '%s.dist-info' % name_ver
metadata_filename = posixpath.join(info_dir, 'WHEEL')
with zf.open(metadata_filename) as bf:
wf = codecs.getreader('utf-8')(bf)
message = message_from_file(wf)
return dict(message)
@cached_property
def info(self):
pathname = os.path.join(self.dirname, self.filename)
with ZipFile(pathname, 'r') as zf:
result = self.get_wheel_metadata(zf)
return result
def process_shebang(self, data):
m = SHEBANG_RE.match(data)
if m:
data = b'#!python' + data[m.end():]
else:
cr = data.find(b'\r')
lf = data.find(b'\n')
if cr < 0 or cr > lf:
term = b'\n'
else:
if data[cr:cr + 2] == b'\r\n':
term = b'\r\n'
else:
term = b'\r'
data = b'#!python' + term + data
return data
def get_hash(self, data, hash_kind=None):
if hash_kind is None:
hash_kind = self.hash_kind
try:
hasher = getattr(hashlib, hash_kind)
except AttributeError:
raise DistlibException('Unsupported hash algorithm: %r' % hash_kind)
result = hasher(data).digest()
result = base64.urlsafe_b64encode(result).rstrip(b'=').decode('ascii')
return hash_kind, result
def write_record(self, records, record_path, base):
with CSVWriter(record_path) as writer:
for row in records:
writer.writerow(row)
p = to_posix(os.path.relpath(record_path, base))
writer.writerow((p, '', ''))
def write_records(self, info, libdir, archive_paths):
records = []
distinfo, info_dir = info
hasher = getattr(hashlib, self.hash_kind)
for ap, p in archive_paths:
with open(p, 'rb') as f:
data = f.read()
digest = '%s=%s' % self.get_hash(data)
size = os.path.getsize(p)
records.append((ap, digest, size))
p = os.path.join(distinfo, 'RECORD')
self.write_record(records, p, libdir)
ap = to_posix(os.path.join(info_dir, 'RECORD'))
archive_paths.append((ap, p))
def build_zip(self, pathname, archive_paths):
with ZipFile(pathname, 'w', zipfile.ZIP_DEFLATED) as zf:
for ap, p in archive_paths:
logger.debug('Wrote %s to %s in wheel', p, ap)
zf.write(p, ap)
def build(self, paths, tags=None, wheel_version=None):
"""
Build a wheel from files in specified paths, and use any specified tags
when determining the name of the wheel.
"""
if tags is None:
tags = {}
libkey = list(filter(lambda o: o in paths, ('purelib', 'platlib')))[0]
if libkey == 'platlib':
is_pure = 'false'
default_pyver = [IMPVER]
default_abi = [ABI]
default_arch = [ARCH]
else:
is_pure = 'true'
default_pyver = [PYVER]
default_abi = ['none']
default_arch = ['any']
self.pyver = tags.get('pyver', default_pyver)
self.abi = tags.get('abi', default_abi)
self.arch = tags.get('arch', default_arch)
libdir = paths[libkey]
name_ver = '%s-%s' % (self.name, self.version)
data_dir = '%s.data' % name_ver
info_dir = '%s.dist-info' % name_ver
archive_paths = []
# First, stuff which is not in site-packages
for key in ('data', 'headers', 'scripts'):
if key not in paths:
continue
path = paths[key]
if os.path.isdir(path):
for root, dirs, files in os.walk(path):
for fn in files:
p = fsdecode(os.path.join(root, fn))
rp = os.path.relpath(p, path)
ap = to_posix(os.path.join(data_dir, key, rp))
archive_paths.append((ap, p))
if key == 'scripts' and not p.endswith('.exe'):
with open(p, 'rb') as f:
data = f.read()
data = self.process_shebang(data)
with open(p, 'wb') as f:
f.write(data)
# Now, stuff which is in site-packages, other than the
# distinfo stuff.
path = libdir
distinfo = None
for root, dirs, files in os.walk(path):
if root == path:
# At the top level only, save distinfo for later
# and skip it for now
for i, dn in enumerate(dirs):
dn = fsdecode(dn)
if dn.endswith('.dist-info'):
distinfo = os.path.join(root, dn)
del dirs[i]
break
assert distinfo, '.dist-info directory expected, not found'
for fn in files:
# comment out next suite to leave .pyc files in
if fsdecode(fn).endswith(('.pyc', '.pyo')):
continue
p = os.path.join(root, fn)
rp = to_posix(os.path.relpath(p, path))
archive_paths.append((rp, p))
# Now distinfo. Assumed to be flat, i.e. os.listdir is enough.
files = os.listdir(distinfo)
for fn in files:
if fn not in ('RECORD', 'INSTALLER', 'SHARED'):
p = fsdecode(os.path.join(distinfo, fn))
ap = to_posix(os.path.join(info_dir, fn))
archive_paths.append((ap, p))
wheel_metadata = [
'Wheel-Version: %d.%d' % (wheel_version or self.wheel_version),
'Generator: distlib %s' % __version__,
'Root-Is-Purelib: %s' % is_pure,
]
for pyver, abi, arch in self.tags:
wheel_metadata.append('Tag: %s-%s-%s' % (pyver, abi, arch))
p = os.path.join(distinfo, 'WHEEL')
with open(p, 'w') as f:
f.write('\n'.join(wheel_metadata))
ap = to_posix(os.path.join(info_dir, 'WHEEL'))
archive_paths.append((ap, p))
# Now, at last, RECORD.
# Paths in here are archive paths - nothing else makes sense.
self.write_records((distinfo, info_dir), libdir, archive_paths)
# Now, ready to build the zip file
pathname = os.path.join(self.dirname, self.filename)
self.build_zip(pathname, archive_paths)
return pathname
def install(self, paths, maker, **kwargs):
"""
Install a wheel to the specified paths. If kwarg ``warner`` is
specified, it should be a callable, which will be called with two
tuples indicating the wheel version of this software and the wheel
version in the file, if there is a discrepancy in the versions.
This can be used to issue any warnings to raise any exceptions.
If kwarg ``lib_only`` is True, only the purelib/platlib files are
installed, and the headers, scripts, data and dist-info metadata are
not written.
The return value is a :class:`InstalledDistribution` instance unless
``options.lib_only`` is True, in which case the return value is ``None``.
"""
dry_run = maker.dry_run
warner = kwargs.get('warner')
lib_only = kwargs.get('lib_only', False)
pathname = os.path.join(self.dirname, self.filename)
name_ver = '%s-%s' % (self.name, self.version)
data_dir = '%s.data' % name_ver
info_dir = '%s.dist-info' % name_ver
metadata_name = posixpath.join(info_dir, METADATA_FILENAME)
wheel_metadata_name = posixpath.join(info_dir, 'WHEEL')
record_name = posixpath.join(info_dir, 'RECORD')
wrapper = codecs.getreader('utf-8')
with ZipFile(pathname, 'r') as zf:
with zf.open(wheel_metadata_name) as bwf:
wf = wrapper(bwf)
message = message_from_file(wf)
wv = message['Wheel-Version'].split('.', 1)
file_version = tuple([int(i) for i in wv])
if (file_version != self.wheel_version) and warner:
warner(self.wheel_version, file_version)
if message['Root-Is-Purelib'] == 'true':
libdir = paths['purelib']
else:
libdir = paths['platlib']
records = {}
with zf.open(record_name) as bf:
with CSVReader(stream=bf) as reader:
for row in reader:
p = row[0]
records[p] = row
data_pfx = posixpath.join(data_dir, '')
info_pfx = posixpath.join(info_dir, '')
script_pfx = posixpath.join(data_dir, 'scripts', '')
# make a new instance rather than a copy of maker's,
# as we mutate it
fileop = FileOperator(dry_run=dry_run)
fileop.record = True # so we can rollback if needed
bc = not sys.dont_write_bytecode # Double negatives. Lovely!
outfiles = [] # for RECORD writing
# for script copying/shebang processing
workdir = tempfile.mkdtemp()
# set target dir later
# we default add_launchers to False, as the
# Python Launcher should be used instead
maker.source_dir = workdir
maker.target_dir = None
try:
for zinfo in zf.infolist():
arcname = zinfo.filename
if isinstance(arcname, text_type):
u_arcname = arcname
else:
u_arcname = arcname.decode('utf-8')
# The signature file won't be in RECORD,
# and we don't currently don't do anything with it
if u_arcname.endswith('/RECORD.jws'):
continue
row = records[u_arcname]
if row[2] and str(zinfo.file_size) != row[2]:
raise DistlibException('size mismatch for '
'%s' % u_arcname)
if row[1]:
kind, value = row[1].split('=', 1)
with zf.open(arcname) as bf:
data = bf.read()
_, digest = self.get_hash(data, kind)
if digest != value:
raise DistlibException('digest mismatch for '
'%s' % arcname)
if lib_only and u_arcname.startswith((info_pfx, data_pfx)):
logger.debug('lib_only: skipping %s', u_arcname)
continue
is_script = (u_arcname.startswith(script_pfx)
and not u_arcname.endswith('.exe'))
if u_arcname.startswith(data_pfx):
_, where, rp = u_arcname.split('/', 2)
outfile = os.path.join(paths[where], convert_path(rp))
else:
# meant for site-packages.
if u_arcname in (wheel_metadata_name, record_name):
continue
outfile = os.path.join(libdir, convert_path(u_arcname))
if not is_script:
with zf.open(arcname) as bf:
fileop.copy_stream(bf, outfile)
outfiles.append(outfile)
# Double check the digest of the written file
if not dry_run and row[1]:
with open(outfile, 'rb') as bf:
data = bf.read()
_, newdigest = self.get_hash(data, kind)
if newdigest != digest:
raise DistlibException('digest mismatch '
'on write for '
'%s' % outfile)
if bc and outfile.endswith('.py'):
try:
pyc = fileop.byte_compile(outfile)
outfiles.append(pyc)
except Exception:
# Don't give up if byte-compilation fails,
# but log it and perhaps warn the user
logger.warning('Byte-compilation failed',
exc_info=True)
else:
fn = os.path.basename(convert_path(arcname))
workname = os.path.join(workdir, fn)
with zf.open(arcname) as bf:
fileop.copy_stream(bf, workname)
dn, fn = os.path.split(outfile)
maker.target_dir = dn
filenames = maker.make(fn)
fileop.set_executable_mode(filenames)
outfiles.extend(filenames)
if lib_only:
logger.debug('lib_only: returning None')
dist = None
else:
# Generate scripts
# Try to get pydist.json so we can see if there are
# any commands to generate. If this fails (e.g. because
# of a legacy wheel), log a warning but don't give up.
commands = None
file_version = self.info['Wheel-Version']
if file_version == '1.0':
# Use legacy info
ep = posixpath.join(info_dir, 'entry_points.txt')
try:
with zf.open(ep) as bwf:
epdata = read_exports(bwf)
commands = {}
for key in ('console', 'gui'):
k = '%s_scripts' % key
if k in epdata:
commands['wrap_%s' % key] = d = {}
for v in epdata[k].values():
s = '%s:%s' % (v.prefix, v.suffix)
if v.flags:
s += ' %s' % v.flags
d[v.name] = s
except Exception:
logger.warning('Unable to read legacy script '
'metadata, so cannot generate '
'scripts')
else:
try:
with zf.open(metadata_name) as bwf:
wf = wrapper(bwf)
commands = json.load(wf).get('commands')
except Exception:
logger.warning('Unable to read JSON metadata, so '
'cannot generate scripts')
if commands:
console_scripts = commands.get('wrap_console', {})
gui_scripts = commands.get('wrap_gui', {})
if console_scripts or gui_scripts:
script_dir = paths.get('scripts', '')
if not os.path.isdir(script_dir):
raise ValueError('Valid script path not '
'specified')
maker.target_dir = script_dir
for k, v in console_scripts.items():
script = '%s = %s' % (k, v)
filenames = maker.make(script)
fileop.set_executable_mode(filenames)
if gui_scripts:
options = {'gui': True }
for k, v in gui_scripts.items():
script = '%s = %s' % (k, v)
filenames = maker.make(script, options)
fileop.set_executable_mode(filenames)
p = os.path.join(libdir, info_dir)
dist = InstalledDistribution(p)
# Write SHARED
paths = dict(paths) # don't change passed in dict
del paths['purelib']
del paths['platlib']
paths['lib'] = libdir
p = dist.write_shared_locations(paths, dry_run)
if p:
outfiles.append(p)
# Write RECORD
dist.write_installed_files(outfiles, paths['prefix'],
dry_run)
return dist
except Exception: # pragma: no cover
logger.exception('installation failed.')
fileop.rollback()
raise
finally:
shutil.rmtree(workdir)
def _get_dylib_cache(self):
global cache
if cache is None:
# Use native string to avoid issues on 2.x: see Python #20140.
base = os.path.join(get_cache_base(), str('dylib-cache'),
sys.version[:3])
cache = Cache(base)
return cache
def _get_extensions(self):
pathname = os.path.join(self.dirname, self.filename)
name_ver = '%s-%s' % (self.name, self.version)
info_dir = '%s.dist-info' % name_ver
arcname = posixpath.join(info_dir, 'EXTENSIONS')
wrapper = codecs.getreader('utf-8')
result = []
with ZipFile(pathname, 'r') as zf:
try:
with zf.open(arcname) as bf:
wf = wrapper(bf)
extensions = json.load(wf)
cache = self._get_dylib_cache()
prefix = cache.prefix_to_dir(pathname)
cache_base = os.path.join(cache.base, prefix)
if not os.path.isdir(cache_base):
os.makedirs(cache_base)
for name, relpath in extensions.items():
dest = os.path.join(cache_base, convert_path(relpath))
if not os.path.exists(dest):
extract = True
else:
file_time = os.stat(dest).st_mtime
file_time = datetime.datetime.fromtimestamp(file_time)
info = zf.getinfo(relpath)
wheel_time = datetime.datetime(*info.date_time)
extract = wheel_time > file_time
if extract:
zf.extract(relpath, cache_base)
result.append((name, dest))
except KeyError:
pass
return result
def is_compatible(self):
"""
Determine if a wheel is compatible with the running system.
"""
return is_compatible(self)
def is_mountable(self):
"""
Determine if a wheel is asserted as mountable by its metadata.
"""
return True # for now - metadata details TBD
def mount(self, append=False):
pathname = os.path.abspath(os.path.join(self.dirname, self.filename))
if not self.is_compatible():
msg = 'Wheel %s not compatible with this Python.' % pathname
raise DistlibException(msg)
if not self.is_mountable():
msg = 'Wheel %s is marked as not mountable.' % pathname
raise DistlibException(msg)
if pathname in sys.path:
logger.debug('%s already in path', pathname)
else:
if append:
sys.path.append(pathname)
else:
sys.path.insert(0, pathname)
extensions = self._get_extensions()
if extensions:
if _hook not in sys.meta_path:
sys.meta_path.append(_hook)
_hook.add(pathname, extensions)
def unmount(self):
pathname = os.path.abspath(os.path.join(self.dirname, self.filename))
if pathname not in sys.path:
logger.debug('%s not in path', pathname)
else:
sys.path.remove(pathname)
if pathname in _hook.impure_wheels:
_hook.remove(pathname)
if not _hook.impure_wheels:
if _hook in sys.meta_path:
sys.meta_path.remove(_hook)
def verify(self):
pathname = os.path.join(self.dirname, self.filename)
name_ver = '%s-%s' % (self.name, self.version)
data_dir = '%s.data' % name_ver
info_dir = '%s.dist-info' % name_ver
metadata_name = posixpath.join(info_dir, METADATA_FILENAME)
wheel_metadata_name = posixpath.join(info_dir, 'WHEEL')
record_name = posixpath.join(info_dir, 'RECORD')
wrapper = codecs.getreader('utf-8')
with ZipFile(pathname, 'r') as zf:
with zf.open(wheel_metadata_name) as bwf:
wf = wrapper(bwf)
message = message_from_file(wf)
wv = message['Wheel-Version'].split('.', 1)
file_version = tuple([int(i) for i in wv])
# TODO version verification
records = {}
with zf.open(record_name) as bf:
with CSVReader(stream=bf) as reader:
for row in reader:
p = row[0]
records[p] = row
for zinfo in zf.infolist():
arcname = zinfo.filename
if isinstance(arcname, text_type):
u_arcname = arcname
else:
u_arcname = arcname.decode('utf-8')
if '..' in u_arcname:
raise DistlibException('invalid entry in '
'wheel: %r' % u_arcname)
# The signature file won't be in RECORD,
# and we don't currently don't do anything with it
if u_arcname.endswith('/RECORD.jws'):
continue
row = records[u_arcname]
if row[2] and str(zinfo.file_size) != row[2]:
raise DistlibException('size mismatch for '
'%s' % u_arcname)
if row[1]:
kind, value = row[1].split('=', 1)
with zf.open(arcname) as bf:
data = bf.read()
_, digest = self.get_hash(data, kind)
if digest != value:
raise DistlibException('digest mismatch for '
'%s' % arcname)
def update(self, modifier, dest_dir=None, **kwargs):
"""
Update the contents of a wheel in a generic way. The modifier should
be a callable which expects a dictionary argument: its keys are
archive-entry paths, and its values are absolute filesystem paths
where the contents the corresponding archive entries can be found. The
modifier is free to change the contents of the files pointed to, add
new entries and remove entries, before returning. This method will
extract the entire contents of the wheel to a temporary location, call
the modifier, and then use the passed (and possibly updated)
dictionary to write a new wheel. If ``dest_dir`` is specified, the new
wheel is written there -- otherwise, the original wheel is overwritten.
The modifier should return True if it updated the wheel, else False.
This method returns the same value the modifier returns.
"""
def get_version(path_map, info_dir):
version = path = None
key = '%s/%s' % (info_dir, METADATA_FILENAME)
if key not in path_map:
key = '%s/PKG-INFO' % info_dir
if key in path_map:
path = path_map[key]
version = Metadata(path=path).version
return version, path
def update_version(version, path):
updated = None
try:
v = NormalizedVersion(version)
i = version.find('-')
if i < 0:
updated = '%s-1' % version
else:
parts = [int(s) for s in version[i + 1:].split('.')]
parts[-1] += 1
updated = '%s-%s' % (version[:i],
'.'.join(str(i) for i in parts))
except UnsupportedVersionError:
logger.debug('Cannot update non-compliant (PEP-440) '
'version %r', version)
if updated:
md = Metadata(path=path)
md.version = updated
legacy = not path.endswith(METADATA_FILENAME)
md.write(path=path, legacy=legacy)
logger.debug('Version updated from %r to %r', version,
updated)
pathname = os.path.join(self.dirname, self.filename)
name_ver = '%s-%s' % (self.name, self.version)
info_dir = '%s.dist-info' % name_ver
record_name = posixpath.join(info_dir, 'RECORD')
with tempdir() as workdir:
with ZipFile(pathname, 'r') as zf:
path_map = {}
for zinfo in zf.infolist():
arcname = zinfo.filename
if isinstance(arcname, text_type):
u_arcname = arcname
else:
u_arcname = arcname.decode('utf-8')
if u_arcname == record_name:
continue
if '..' in u_arcname:
raise DistlibException('invalid entry in '
'wheel: %r' % u_arcname)
zf.extract(zinfo, workdir)
path = os.path.join(workdir, convert_path(u_arcname))
path_map[u_arcname] = path
# Remember the version.
original_version, _ = get_version(path_map, info_dir)
# Files extracted. Call the modifier.
modified = modifier(path_map, **kwargs)
if modified:
# Something changed - need to build a new wheel.
current_version, path = get_version(path_map, info_dir)
if current_version and (current_version == original_version):
# Add or update local version to signify changes.
update_version(current_version, path)
# Decide where the new wheel goes.
if dest_dir is None:
fd, newpath = tempfile.mkstemp(suffix='.whl',
prefix='wheel-update-',
dir=workdir)
os.close(fd)
else:
if not os.path.isdir(dest_dir):
raise DistlibException('Not a directory: %r' % dest_dir)
newpath = os.path.join(dest_dir, self.filename)
archive_paths = list(path_map.items())
distinfo = os.path.join(workdir, info_dir)
info = distinfo, info_dir
self.write_records(info, workdir, archive_paths)
self.build_zip(newpath, archive_paths)
if dest_dir is None:
shutil.copyfile(newpath, pathname)
return modified
def compatible_tags():
"""
Return (pyver, abi, arch) tuples compatible with this Python.
"""
versions = [VER_SUFFIX]
major = VER_SUFFIX[0]
for minor in range(sys.version_info[1] - 1, - 1, -1):
versions.append(''.join([major, str(minor)]))
abis = []
for suffix, _, _ in imp.get_suffixes():
if suffix.startswith('.abi'):
abis.append(suffix.split('.', 2)[1])
abis.sort()
if ABI != 'none':
abis.insert(0, ABI)
abis.append('none')
result = []
arches = [ARCH]
if sys.platform == 'darwin':
m = re.match('(\w+)_(\d+)_(\d+)_(\w+)$', ARCH)
if m:
name, major, minor, arch = m.groups()
minor = int(minor)
matches = [arch]
if arch in ('i386', 'ppc'):
matches.append('fat')
if arch in ('i386', 'ppc', 'x86_64'):
matches.append('fat3')
if arch in ('ppc64', 'x86_64'):
matches.append('fat64')
if arch in ('i386', 'x86_64'):
matches.append('intel')
if arch in ('i386', 'x86_64', 'intel', 'ppc', 'ppc64'):
matches.append('universal')
while minor >= 0:
for match in matches:
s = '%s_%s_%s_%s' % (name, major, minor, match)
if s != ARCH: # already there
arches.append(s)
minor -= 1
# Most specific - our Python version, ABI and arch
for abi in abis:
for arch in arches:
result.append((''.join((IMP_PREFIX, versions[0])), abi, arch))
# where no ABI / arch dependency, but IMP_PREFIX dependency
for i, version in enumerate(versions):
result.append((''.join((IMP_PREFIX, version)), 'none', 'any'))
if i == 0:
result.append((''.join((IMP_PREFIX, version[0])), 'none', 'any'))
# no IMP_PREFIX, ABI or arch dependency
for i, version in enumerate(versions):
result.append((''.join(('py', version)), 'none', 'any'))
if i == 0:
result.append((''.join(('py', version[0])), 'none', 'any'))
return set(result)
COMPATIBLE_TAGS = compatible_tags()
del compatible_tags
def is_compatible(wheel, tags=None):
if not isinstance(wheel, Wheel):
wheel = Wheel(wheel) # assume it's a filename
result = False
if tags is None:
tags = COMPATIBLE_TAGS
for ver, abi, arch in tags:
if ver in wheel.pyver and abi in wheel.abi and arch in wheel.arch:
result = True
break
return result | PypiClean |
/DACOpt-0.1.1.tar.gz/DACOpt-0.1.1/dacopt/ParamsExt.py | import copy
from typing import List
import numpy as np
import math
from . import paramrange, p_paramrange, one_paramrange
from . import AlgorithmChoice, HyperParameter, CategoricalParam
__author__ = "Duc Anh Nguyen"
def get_level(algorithmsLst, _i=0):
_ii = []
_i += 1
for x in [j for j in algorithmsLst]:
# print(x,_i)
_ii.extend([_i])
if isinstance(x, list) and (len(x) > 1):
# _i+=1
_iii = get_level(x, _i)
# print('...',x,_iii)
_ii.extend([_iii])
else:
pass
# print(_ii)
_i = max(_ii)
return _i
def convert_2levels(algorithmsLst, new_algorithmsLst=[]):
for x in [j for j in algorithmsLst]:
# print(x)
if isinstance(x, list):
b = []
b = convert_2levels(x, b)
new_algorithmsLst.extend(b)
'''if any(isinstance(z,list)==True for z in x):
return convert_2levels(x,new_a)
else:
new_a.append(x)'''
else:
new_algorithmsLst.append(x)
return new_algorithmsLst
def read_tree(algorithmsLst, level=5, _return=[], _i=0):
_i = _i + 1
if (_i == level and level != 1) or not any(isinstance(x, list) for x in algorithmsLst):
# print(_i,"===")
b = []
b = convert_2levels(algorithmsLst, b)
_return.append(b)
return _return
elif level == 1:
b = []
b = convert_2levels(algorithmsLst, b)
_return.append(b)
return _return
else:
# print('pass')
pass
if isinstance(algorithmsLst, list):
for x in [j for j in algorithmsLst]:
# print('---',x,_i)
if isinstance(x, list):
b = []
b = read_tree(x, level, b, _i)
_return.append(b) if _i == 1 else _return.extend(b)
else:
# print('aaaa',x)
_return.extend([x])
else:
# print('bbb',x)
_return.append(algorithmsLst)
return _return
def regroup(algorithmsLst, _togroup=3, seed=1):
rstate = np.random.RandomState(seed)
#np.random.seed(seed)
b = []
b = convert_2levels(algorithmsLst, b)
if _togroup > len([x for x in b]):
return False
if _togroup == 1:
return [b]
i = 0
i = get_level(algorithmsLst, i)
_lv, _return = 0, []
for _i in range(1, i + 2):
_temp = []
read_tree(algorithmsLst, _i, _return=_temp)
if _i == 1:
_numbergroup = 1
else:
_numbergroup = len([j for i in _temp for j in i])
# print(_i,_numbergroup)
if _numbergroup >= _togroup or _i == i + 1:
_lv = _i
_return = _temp
# else:
break
# print(_lv,_return)
_newgroup, _ungrouped = [], []
_currentgroup = 0
for x in _return:
_temp = [z for z in x if isinstance(z, list)]
_ungr = [z for z in x if not isinstance(z, list)] if isinstance(x, list) else [x]
if len(_ungr) > 0:
_temp.append(_ungr)
_currentgroup += len(_temp)
# print(x,_temp)
_newgroup.append(_temp)
while _currentgroup != _togroup:
# print(_currentgroup,_togroup,_newgroup)
# _p_dict = {i: math.floor((len(v)/len(_grouped)) * 10000) / 10000 for i, v in enumerate(_newgroup)}
_p_dict, _p_count = dict(), dict()
for i, v in enumerate(_newgroup):
_vi = 0
for _i, _v in {str(i) + '-' + str(_i): len(_v) for _i, _v in enumerate(v)}.items():
_p_dict[_i] = _v
_vi += 1 # _v
_p_count[i] = _vi
# print(_p_dict,_p_count)
itemMaxValue = max(_p_dict.items(), key=lambda x: x[1]) if _currentgroup < _togroup else min(_p_dict.items(),
key=lambda x: x[1])
# print(_currentgroup,'Maximum Value in Dictionary : ', itemMaxValue,_p_dict)
listOfKeys = list()
# Iterate over all the items in dictionary to find keys with max value
for key, value in _p_dict.items():
if value == itemMaxValue[1]:
listOfKeys.append(key)
if (_currentgroup > _togroup):
_pvalue = {x: _p_count[int(x.split('-')[0])] for x in listOfKeys}
_sumP = sum(_pvalue.values())
_pvalue = [math.floor((x / _sumP) * 100000) / 100000 for i, x in _pvalue.items()]
_pvalue[-1] += 1 - sum(_pvalue)
# print('KEY',_pvalue,_pvalue,_p_dict,listOfKeys,_p_count)
OneKey = rstate.choice(listOfKeys, p=_pvalue, replace=False)
# print(OneKey,_p_count)
_OneKeyGroup = OneKey.split('-')[0]
_numberNeighbours = sum(x for i, x in _p_count.items() if i == int(_OneKeyGroup))
# print(_numberNeighbours)
if _numberNeighbours > 1: # and len(listOfKeys)<2:
_addItems = []
_minitem, _minvalue = OneKey, itemMaxValue[1]
_premin = _minitem.split("-")[0]
_isOtherBranch = False
_checkvalue = _minvalue
_hasneighbour = True if len([x for x in listOfKeys if x.split('-')[0] == _OneKeyGroup]) > 2 else False
# print(_minitem)
while len(_addItems) < 1:
_addItems = [x for x, value in _p_dict.items() if value == _checkvalue and x != _minitem
and (_premin == x.split("-")[0] if _numberNeighbours > 1 else True)]
if len(_addItems) == 0 and _checkvalue > _minvalue and _hasneighbour == False and _p_count[
int(_OneKeyGroup)] < 2:
_addItems = [x for x, value in _p_dict.items() if
value <= _checkvalue and _premin != x.split("-")[0]]
if len(_addItems) > 1:
_isOtherBranch = True
_checkvalue += 1
# print('_checkvalue',_addItems,_checkvalue)
if _isOtherBranch == False:
_selected = rstate.choice(_addItems, size=1)
_selected = np.append(_selected, _minitem)
else:
_selected = rstate.choice(_addItems, size=2, replace=False)
# _selected=np.append(_selected)
else:
# print(_newgroup)
# print('HERE',OneKey,listOfKeys)
_premin = OneKey[0].split("-")[0]
_thisbranch = [x for x in listOfKeys if
(x.split("-")[0] == _premin if _numberNeighbours > 1 else True)
and x != OneKey]
if len(_thisbranch) < 1:
_thisbranch = [x for x in _p_dict.keys() if
(x.split("-")[0] == _premin if _numberNeighbours > 1 else True)
and x != OneKey]
# prefer to join the smallest group
_new_p_count = {x: v for x, v in _p_dict.items() if x in _thisbranch}
'''#_pvalue={x:_p_count[int(x.split('-')[0])] for x in _new_p_count }
_sumP=sum(_new_p_count.values())
_pvalue=[math.floor(((_sumP-x)/_sumP)*100000)/100000 for i,x in _new_p_count.items()]
_pvalue[-1]+=1-sum(_pvalue)'''
# print('85', _thisbranch,_pvalue,_p_count,_new_p_count)
_itemMaxValue = min(_new_p_count.items(), key=lambda x: x[1])
# print(_currentgroup,'Maximum Value in Dictionary : ', itemMaxValue,_p_dict)
_listOfKeys = list()
# Iterate over all the items in dictionary to find keys with max value
for key, value in _new_p_count.items():
if value == _itemMaxValue[1]:
_listOfKeys.append(key)
_secondkey = rstate.choice(_thisbranch, size=1, replace=False) if len(_listOfKeys) > 1 else \
_itemMaxValue[0]
_selected = np.append(OneKey, _secondkey)
# _selected= np.random.choice(listOfKeys,size=2,replace=False)
# _selected=-np.sort(_selected)
# _selected.sort(key = lambda x: x.split("-")[1])
_selected = sorted(_selected, key=lambda x: x.split("-")[1], reverse=True)
# _temp=_newgroup.pop(int(_selected[0].split("-")[0]))
# print(_selected)
_items = []
i1, _i1 = _selected[0].split("-")
for x in _selected:
i, _i = x.split("-")
_x = _newgroup[int(i)].pop(int(_i))
_items.extend(_x)
# print('-',_currentgroup,_togroup,_items)
_newgroup[int(i1)].append(_items)
elif (_currentgroup < _togroup):
# print('THERE',listOfKeys )
_selected = rstate.choice(listOfKeys, size=1)
i, _i = _selected[0].split("-")
_items = _newgroup[int(i)].pop(int(_i))
# print(_selected,_items)
_halfItems = int(np.floor(len(_items) / 2))
_secondhalf = list(rstate.choice(len(_items), size=_halfItems, replace=False))
_secondhalf = [_items[i] for i in _secondhalf]
_firsthalf = sorted(list(set(_items) - set(_secondhalf)), key=lambda x: str(x))
rstate.shuffle(_firsthalf)
rstate.shuffle(_secondhalf)
_newgroup[int(i)].append(_secondhalf)
_newgroup[int(i)].append(_firsthalf)
# print('+',_currentgroup,_togroup,_newgroup)
# _currentgroup=len([j for i in _newgroup for j in i])
_currentgroup = 0
for x in _newgroup:
_currentgroup += len(x)
# print(_newgroup)
_return = [j for i in _newgroup for j in i]
return _return
def updateHyperparameterforBO4ML(hyperparameter: HyperParameter):
if isinstance(hyperparameter,(AlgorithmChoice,CategoricalParam)):
_newparam=copy.deepcopy(hyperparameter)
_bounds=[]
for x in hyperparameter.bounds:
_bounds.append(x.bounds)
_newbounds=[]
for _item in _bounds:
if isinstance(_item, list):
_newbounds.append(convert_2levels(_item, []))
else:
_newbounds.extend([_item])
_newparam=(AlgorithmChoice if isinstance(hyperparameter, AlgorithmChoice) else CategoricalParam)(
_newbounds, hyperparameter.var_name, name=hyperparameter.name, cutting=hyperparameter.cutting, default=hyperparameter.default)
return _newparam
else:
return hyperparameter
def updatebounds(values, OriBounds, _return:list()=[]):
_newbounds=[]
_newbounds=_updatebounds(values, OriBounds, [])
for x in _newbounds:
if isinstance(x, list):
_return.append(convert_2levels(x, []))
else:
_return.extend([x])
return _return
def _updatebounds(values, OriBounds, _return:list()=[]):
np.random.RandomState(24)
#print(_return,OriBounds)
if any(isinstance(x,list) for x in OriBounds):
for x in OriBounds:
if isinstance(x,list):
b=[]
b=updatebounds(values, x,b)
if len(b)>0:
#_return.append(b)
_return.append(b) if len(_return) > 0 else _return.extend(b)
else:
#if len(set(values).intersection([x]))>0:
if x in values:_return.extend([x])
else:
_temp_return=sorted(list(set(values).intersection(list(OriBounds))), key=lambda x: str(x))
_return.extend(_temp_return)
#_return.extend(list(np.intersect1d(values,list(OriBounds))))
return _return
def __init__(self, bounds, var_name, name, cutting=None, default=None, hType="C"):
if isinstance(bounds, (list, tuple,)):
_thisbound = list()
_joinbound = list()
_hasP_param = False
_allbounds = []
_thisDef = None
if (any(isinstance(x, (tuple, list)) for x in bounds) == False):
_thisbound.append(paramrange(bounds, default=default, hType=hType))
if (hType == "I"):
if (len(bounds) == 2):
_allbounds = [*range(bounds[0], bounds[1])]
else:
_allbounds = bounds
else:
# if(any(isinstance(x,tuple))for x in bounds):
_sumP = sum([x[1] for x in bounds if isinstance(x, tuple)])
_hasP_param = True if _sumP > 0 else False
_itemNoP = len([x for x in bounds if isinstance(x, tuple) == False])
for bound in bounds:
if (hType == "I"):
if isinstance(bound, tuple):
_p = bound[1]
if (isinstance(bound[0], list) and len(bound[0]) == 2):
_lower = bound[0][0]
_upper = bound[0][1]
_intbound = [_lower, _upper]
_allbounds.extend([*range(_lower, _upper)])
bound = (_intbound, _p)
if default in _intbound:
_thisDef = default
else:
if isinstance(bound[0], list) == False:
bound = ([bound[0]], _p)
_allbounds.extend(bound[0])
if default in bound[0]:
_thisDef = default
_thisbound.append(p_paramrange(*bound, default=_thisDef, hType=hType))
else:
if (isinstance(bound, list) and len(bound) == 2):
_lower = bound[0]
_upper = bound[1]
_allbounds.extend([*range(_lower, _upper)])
_intbound = [_lower, _upper]
if default in _intbound:
_thisDef = default
bound = _intbound
else:
if (isinstance(bound, list) == False):
bound = [bound]
_allbounds.extend(bound)
# _joinbound.append(bound)
if default in bound:
_thisDef = default
if _hasP_param:
_p = round(((1 - _sumP) / _itemNoP), 5)
_thisbound.append(p_paramrange(bounds=bound, p=_p, default=_thisDef, hType=hType))
else:
_thisbound.append(paramrange(bounds=bound, default=_thisDef, hType=hType))
else:
if isinstance(bound, tuple):
_thisbound.append(p_paramrange(*bound, hType=hType))
else:
if (isinstance(bound, list) == False):
bound = [bound]
else:
#pass
bound=[(x if isinstance(x,list) else [x]) for x in bound] if any([isinstance(x,list) for x in bound]) else bound
_thisAllvalues=convert_2levels(bound,[])
_allbounds.extend(_thisAllvalues)
_thisDef = default if default in _thisAllvalues else _thisAllvalues[0]
_p = round(((1 - _sumP) / _itemNoP), 5) if _hasP_param else None
_thisItem = p_paramrange(bounds=bound, p=_p, default=_thisDef,
hType=hType) if _hasP_param else \
paramrange(bounds=bound, default=_thisDef, hType=hType)
_thisbound.append(_thisItem)
if (hType in ["C", "A"]):
_newThisbound = copy.deepcopy(_thisbound)
for _bound in _newThisbound:
_2levelbound = []
_2levelbound = convert_2levels(_bound.bounds, _2levelbound)
_bound.bounds = _2levelbound if any(isinstance(x, list) for x in _2levelbound) == False \
else [j for i in _2levelbound for j in i]
self.allbounds = convert_2levels([[x.bounds] for x in _newThisbound],[])
elif hType == "I":
self.allbounds = _allbounds
else:
self.allbounds = [x.bounds for x in _thisbound]
self.bounds = _thisbound
else:
self.allbounds = [bounds]
self.bounds = [paramrange(bounds, hType)]
if (default in self.bounds[0].bounds and self.bounds[0].default == None):
self.bounds[0].default = default
pass
self.name = name
self.var_type = hType
self.default = default
self.cutting = cutting
self.var_name = var_name
def addMutilConditional(self, child: List[HyperParameter] = None, parent: HyperParameter = None, parent_value=None, isRoot=True):
if isinstance(parent_value, (tuple, list)):
parent_value = [b for b in parent_value]
else:
parent_value = [parent_value]
_Allvalues = []
_Allvalues = convert_2levels([x.bounds for x in parent.bounds], _Allvalues)
if (set(parent_value).issubset(_Allvalues)):
for achild in child:
self.addConditional(achild, parent, parent_value, isRoot)
else:
raise TypeError("Hyperparameter '%s' is not in range of "
"--" %
str(parent.var_name))
def addConditional(self, child: HyperParameter = None, parent: HyperParameter = None, parent_value=None, isRoot=None):
if not isinstance(child, HyperParameter):
raise TypeError("Hyperparameter '%s' is not an instance of "
"DACOpt.SearchSpace" %
str(child))
if not isinstance(parent, HyperParameter):
raise TypeError("Hyperparameter '%s' is not an instance of "
"DACOpt.SearchSpace" %
str(parent))
if isinstance(parent_value, (tuple, list)):
parent_value = [b for b in parent_value]
else:
parent_value = [parent_value]
_Allvalues=[]
_Allvalues=convert_2levels([x.bounds for x in parent.bounds],_Allvalues)
if (set(parent_value).issubset(_Allvalues) == False):
raise TypeError("Hyperparameter '%s' is not in range of "
"--" %
str(parent.var_name))
keyname = str(child.var_name) + '_' + str(parent.var_name)
# All conditional for impute + bandit
if (keyname in self.AllConditional.keys()):
self._updateAllConditional(child, parent, parent_value)
else:
self._addAllConditional(child, parent, parent_value)
# list of conditional for treezation only
if (isRoot == None):
if (parent.var_name in [x[0] for i, x in self.conditional.items()]):
isRoot = False
else:
isRoot = True
if isinstance(parent, AlgorithmChoice):
isRoot = True
# if isRoot==True:
if (keyname in self.conditional.keys()):
self._updateConditional(child, parent, parent_value, isRoot)
else:
self._addConditional(child, parent, parent_value, isRoot) | PypiClean |
/CFML-0.0.3-cp37-cp37m-win_amd64.whl/CFML_api/API_IO_Formats.py |
import os
import CFML_api.crysfml_api
import CFML_api.API_Crystal_Metrics
import CFML_api.API_Crystallographic_Symmetry
import CFML_api.API_Atom_TypeDef
import CFML_api.FortranBindedClass
class JobInfo(CFML_api.FortranBindedClass):
""" A class used to handle the job informations, read from a CFL File
...
Attributes
----------
range_2theta : (float, float)
(theta_min, theta_max)
theta_step : float
delta_theta between two points of the Simulated Powder pattern
u_resolution : float
Resolution parameter U for Simulated Powder pattern
v_resolution : float
Resolution parameter V for Simulated Powder pattern
w_resolution : float
Resolution parameter W for Simulated Powder pattern
x_resolution : float
Resolution parameter X for Simulated Powder pattern
y_resolution : float
Resolution parameter Y for Simulated Powder pattern
bkg : float
Constant background value for Simulated Powder pattern
Methods
-------
print_description
Prints the description of the job
"""
def __init__(self, string_array=None):
"""
Initialise a JobInfo. Can take as input an array of strings
dat= ['Title SrTiO3',
'Npatt 1',
'Patt_1 NEUT_2THE 1.54056 1.54056 1.00 0.0 135.0',
'UVWXY 0.025 -0.00020 0.01200 0.00150 0.00465',
'STEP 0.05 ',
'Backgd 50.000']
"""
CFML_api.FortranBindedClass.__init__(self)
if string_array is not None:
dict = CFML_api.crysfml_api.IO_Formats_jobinfo_from_CIF_string_array(string_array)
self._set_fortran_address(dict["JobInfo"])
def __del__(self):
address = self.get_fortran_address()
if address:
CFML_api.crysfml_api.IO_Formats_del_jobinfo(self.get_fortran_address())
def print_description(self):
""" Prints the job info description """
print(self.title)
print("Number of patterns: " + str(self.num_patterns) )
print("Type of pattern: " + self.pattern_type)
print("Number of phases: " + str(self.num_phases) )
print("Name of phases: " + str(self.get_phase_names(0)) )
print("Name of phases: " + str(self.phase_name) )
print("Lambda range: " +str(self.lambdas) )
print("Lambda ratio: "+ str(self.lambda_ratio) )
print("Range 2theta: "+ str(self.range_2theta) )
print("Range sin(theta)/lambda: "+str(self.range_stl) )
@property
def title(self):
"""
Identification of the job
"""
return CFML_api.crysfml_api.IO_Formats_get_title(self.get_fortran_address())["title"]
@property
def num_phases(self):
"""
Number of phases
"""
return CFML_api.crysfml_api.IO_Formats_get_num_phases(self.get_fortran_address())["num_phases"]
@property
def num_patterns(self):
"""
Number of patterns
"""
return CFML_api.crysfml_api.IO_Formats_get_num_patterns(self.get_fortran_address())["num_patterns"]
@property
def num_cmd(self):
"""
Number of command lines
"""
return CFML_api.crysfml_api.IO_Formats_get_num_cmd(self.get_fortran_address())["num_cmd"]
def get_pattern_types(self, indx=None):
"""
String with the pattern type of indx in [0, num_patterns-1]
"""
if indx:
key=indx
else:
key=0
return CFML_api.crysfml_api.IO_Formats_get_patt_typ(self.get_fortran_address(), key+1)["patt_typ"]
def set_pattern_types(self, patt, indx=None):
"""
String with the pattern type of indx in [0, num_patterns-1]
"""
if indx:
key=indx
else:
key=0
return CFML_api.crysfml_api.IO_Formats_set_patt_typ(self.get_fortran_address(), patt, key+1)
pattern_type = property(get_pattern_types, set_pattern_types)
def get_phase_names(self, indx=None):
"""
String with the name of the phase indx in [0, num_phases-1]
"""
if indx:
key=indx
else:
key=0
return CFML_api.crysfml_api.IO_Formats_get_phas_nam(self.get_fortran_address(), key+1)["phas_nam"]
phase_name = property(get_phase_names)
def get_cmd(self, indx=None):
"""
Command lines: text for actions in [0, num_cmd-1]
"""
if indx:
key=indx
else:
key=0
return CFML_api.crysfml_api.IO_Formats_get_cmd(self.get_fortran_address(),key+1)["cmd"]
def get_range_stl(self,indx=None):
"""
Range in sinTheta/Lambda of phase indx [0, num_phases-1]
"""
if indx:
key=indx
else:
key=0
mina = CFML_api.crysfml_api.IO_Formats_get_range_stl(self.get_fortran_address(),key+1)["min"]
maxb = CFML_api.crysfml_api.IO_Formats_get_range_stl(self.get_fortran_address(),key+1)["max"]
return mina, maxb
range_stl = property(get_range_stl)
def get_range_q(self,indx=None):
"""
Range in 4pi*sinTheta/Lambda of phase indx [0, num_phases-1]
"""
if indx:
key=indx
else:
key=0
mina = CFML_api.crysfml_api.IO_Formats_get_range_q(self.get_fortran_address(),key+1)["min"]
maxb = CFML_api.crysfml_api.IO_Formats_get_range_q(self.get_fortran_address(),key+1)["max"]
return mina, maxb
range_q = property(get_range_q)
def get_range_d(self, indx=None):
"""
Range in d-spacing of phase indx [0, num_phases-1]
"""
if indx:
key=indx
else:
key=0
mina = CFML_api.crysfml_api.IO_Formats_get_range_d(self.get_fortran_address(),key+1)["min"]
maxb = CFML_api.crysfml_api.IO_Formats_get_range_d(self.get_fortran_address(),key+1)["max"]
return mina, maxb
range_d = property(get_range_d)
def get_range_2theta(self, indx=None):
"""
Range in 2theta-spacing of phase indx [0, num_phases-1]
"""
if indx:
key=indx
else:
key=0
mina = CFML_api.crysfml_api.IO_Formats_get_range_2theta(self.get_fortran_address(),key+1)["min"]
maxb = CFML_api.crysfml_api.IO_Formats_get_range_2theta(self.get_fortran_address(),key+1)["max"]
return mina, maxb
def set_range_2theta(self, range_theta, indx=None):
if indx:
key=indx
else:
key=0
(mina, maxb) = range_theta
CFML_api.crysfml_api.IO_Formats_set_range_2theta(self.get_fortran_address(), mina, maxb, key+1)
range_2theta = property(get_range_2theta, set_range_2theta)
def get_range_energy(self, indx=None):
"""
Range in Energy of phase indx [0, num_phases-1]
"""
if indx:
key=indx
else:
key=0
mina = CFML_api.crysfml_api.IO_Formats_get_range_energy(self.get_fortran_address(),key+1)["min"]
maxb = CFML_api.crysfml_api.IO_Formats_get_range_energy(self.get_fortran_address(),key+1)["max"]
return mina, maxb
range_energy = property(get_range_energy)
def get_lambdas(self, indx=None):
"""
Lambda1, Lambda2 of phase indx [0, num_phases-1]
"""
if indx:
key=indx
else:
key=0
lambda1 = CFML_api.crysfml_api.IO_Formats_get_lambda(self.get_fortran_address(),key+1)["lambda1"]
lambda2 = CFML_api.crysfml_api.IO_Formats_get_lambda(self.get_fortran_address(),key+1)["lambda2"]
return lambda1, lambda2
def set_lambdas(self, range_lambda, indx=None):
if indx:
key=indx
else:
key=0
(mina, maxb) = range_lambda
CFML_api.crysfml_api.IO_Formats_set_lambda(self.get_fortran_address(), mina, maxb, key+1)
lambdas = property(get_lambdas, set_lambdas)
def get_lambda_ratio(self, indx=None):
"""
ratio lambda2/lambda1 [0, num_phases-1]
"""
if indx:
key=indx
else:
key=0
return CFML_api.crysfml_api.IO_Formats_get_ratio(self.get_fortran_address(),key+1)["ratio"]
def set_lambda_ratio(self, ratio, indx=None):
if indx:
key=indx
else:
key=0
CFML_api.crysfml_api.IO_Formats_set_ratio(self.get_fortran_address(), ratio, key+1)
lambda_ratio = property(get_lambda_ratio, set_lambda_ratio)
@property
def d_to_tof_1(self):
"""
d-to-TOF coefficient
"""
return CFML_api.crysfml_api.IO_Formats_get_dtt1(self.get_fortran_address())["dtt1"]
@property
def d_to_tof_2(self):
"""
d-to-TOF coefficient
"""
return CFML_api.crysfml_api.IO_Formats_get_dtt2(self.get_fortran_address())["dtt2"]
@property
def u_resolution(self):
"""
Resolution parameter U for Simulated Powder pattern
"""
return CFML_api.crysfml_api.IO_Formats_get_U(self.get_fortran_address())["U"]
@u_resolution.setter
def u_resolution(self, val):
CFML_api.crysfml_api.IO_Formats_set_U(self.get_fortran_address(), val)
@property
def v_resolution(self):
"""
Resolution parameter V for Simulated Powder pattern
"""
return CFML_api.crysfml_api.IO_Formats_get_V(self.get_fortran_address())["V"]
@v_resolution.setter
def v_resolution(self, val):
CFML_api.crysfml_api.IO_Formats_set_V(self.get_fortran_address(), val)
@property
def w_resolution(self):
"""
Resolution parameter W for Simulated Powder pattern
"""
return CFML_api.crysfml_api.IO_Formats_get_W(self.get_fortran_address())["W"]
@w_resolution.setter
def w_resolution(self, val):
CFML_api.crysfml_api.IO_Formats_set_W(self.get_fortran_address(), val)
@property
def x_resolution(self):
"""
Resolution parameter X for Simulated Powder pattern
"""
return CFML_api.crysfml_api.IO_Formats_get_X(self.get_fortran_address())["X"]
@x_resolution.setter
def x_resolution(self, val):
CFML_api.crysfml_api.IO_Formats_set_X(self.get_fortran_address(), val)
@property
def y_resolution(self):
"""
Resolution parameter Y for Simluated Powder pattern
"""
return CFML_api.crysfml_api.IO_Formats_get_Y(self.get_fortran_address())["Y"]
@y_resolution.setter
def y_resolution(self, val):
CFML_api.crysfml_api.IO_Formats_set_Y(self.get_fortran_address(), val)
@property
def theta_step(self):
"""
Step in theta for the Simulated Powder patttern
"""
return CFML_api.crysfml_api.IO_Formats_get_theta_step(self.get_fortran_address())["theta_step"]
@theta_step.setter
def theta_step(self, val):
CFML_api.crysfml_api.IO_Formats_set_theta_step(self.get_fortran_address(), val)
@property
def bkg(self):
"""
Cosntant background value for the Simulated Powder patttern
"""
return CFML_api.crysfml_api.IO_Formats_get_bkg(self.get_fortran_address())["bkg"]
@bkg.setter
def bkg(self, val):
CFML_api.crysfml_api.IO_Formats_set_bkg(self.get_fortran_address(), val)
class CIFFile():
""" A class used to handle CIF Files
...
Attributes
----------
filename : string
Methods
-------
get_as_string_array
"""
def __init__(self, filename):
"""
Parameters
----------
filename : str
Name of the CIF File
"""
self.__load_cif_file(filename)
@property
def filename(self):
"""
Name of the CIF File (str)
"""
return self.__filename
@property
def cell(self):
"""
Cell (CFML_api.Cell type)
"""
return self.__cell
@property
def space_group(self):
"""
Space Group (CFML_api.SpaceGroup type)
"""
return self.__space_group
@property
def atom_list(self):
"""
List of atoms (CFML_api.AtomList type)
"""
return self.__atom_list
@property
def job_info(self):
"""
Info on the type of job (CFML_api.Job_info type)
"""
return self.__job_info
@filename.setter
def filename(self, filename):
"""
Setter for the name of the cif file
The setter reloads the cell, space group and atom list
"""
self.__load_cif_file(filename)
def get_as_string_array(self):
"""
Returns the CIF File as an array of string
"""
ret = []
with open(self.__filename, 'r') as file:
for line in file.readlines():
ret.append(line[:-1])
return ret
def __load_cif_file(self, filename):
"""
Internal method
Loads the CIF File
"""
self.__filename = filename
# Check if file exists
file_exists = False
if filename[-4:] == ".cif" or filename[-4:] == ".cfl":
if os.path.exists(filename):
file_exists = True
if filename[-4:] == ".cif":
mode = "CIF"
else:
mode = "CFL"
elif os.path.exists(filename+".cfl"):
filename = filename + ".cfl"
file_exists = True
mode = "CFL"
elif os.path.exists(filename+".cif"):
filename = filename + ".cif"
file_exists = True
mode = "CIF"
if not file_exists:
raise IOError("No file with name: " + filename)
else:
dict = CFML_api.crysfml_api.IO_Formats_readn_set_xtal_structure(self.__filename, mode)
self.__cell = CFML_api.API_Crystal_Metrics.Cell.from_fortran_address(dict["Cell"])
self.__space_group = CFML_api.API_Crystallographic_Symmetry.SpaceGroup.from_fortran_address(dict["SpG"])
self.__atom_list = CFML_api.API_Atom_TypeDef.AtomList.from_fortran_address(dict["A"])
self.__job_info = JobInfo.from_fortran_address(dict["JobInfo"]) | PypiClean |
/Flask-Captcha-New-0.2.0.tar.gz/Flask-Captcha-New-0.2.0/flask_captcha/helpers.py | import random
from flask import current_app, url_for
from six import u
def math_challenge():
operators = ('+', '*', '-',)
operands = (random.randint(1, 10), random.randint(1, 10))
operator = random.choice(operators)
if operands[0] < operands[1] and '-' == operator:
operands = (operands[1], operands[0])
challenge = '%d%s%d' % (operands[0], operator, operands[1])
return '%s=' % (challenge), eval(challenge)
def random_char_challenge():
chars, ret = u('abcdefghijklmnopqrstuvwxyz'), u('')
for i in range(current_app.config['CAPTCHA_LENGTH']):
ret += random.choice(chars)
return ret.upper(), ret
def unicode_challenge():
chars, ret = u('äàáëéèïíîöóòüúù'), u('')
for i in range(current_app.config['CAPTCHA_LENGTH']):
ret += random.choice(chars)
return ret.upper(), ret
def word_challenge():
words_dict = current_app.config['CAPTCHA_WORDS_DICTIONARY']
min_len = current_app.config['CAPTCHA_DICTIONARY_MIN_LENGTH']
max_len = current_app.config['CAPTCHA_DICTIONARY_MAX_LENGTH ']
fd = open(words_dict, 'rb')
l = fd.readlines()
fd.close()
while True:
word = random.choice(l).strip()
if len(word) >= min_len and len(word) <= max_len:
break
return word.upper(), word.lower()
def huge_words_and_punctuation_challenge():
"Yay, undocumneted. Mostly used to test Issue 39 - http://code.google.com/p/django-simple-captcha/issues/detail?id=39"
words_dict = current_app.config['CAPTCHA_WORDS_DICTIONARY']
min_len = current_app.config['CAPTCHA_DICTIONARY_MIN_LENGTH']
max_len = current_app.config['CAPTCHA_DICTIONARY_MAX_LENGTH ']
fd = open(words_dict, 'rb')
l = fd.readlines()
fd.close()
word = ''
while True:
word1 = random.choice(l).strip()
word2 = random.choice(l).strip()
punct = random.choice(current_app.config['CAPTCHA_PUNCTUATION'])
word = '%s%s%s' % (word1, punct, word2)
if len(word) >= min_len and len(word) <= max_len:
break
return word.upper(), word.lower()
def noise_arcs(draw, image):
fg_color = current_app.config['CAPTCHA_FOREGROUND_COLOR']
size = image.size
draw.arc([-20, -20, size[0], 20], 0, 295, fill=fg_color)
draw.line([-20, 20, size[0] + 20, size[1] - 20], fill=fg_color)
draw.line([-20, 0, size[0] + 20, size[1]], fill=fg_color)
return draw
def noise_dots(draw, image):
fg_color = current_app.config['CAPTCHA_FOREGROUND_COLOR']
size = image.size
for p in range(int(size[0] * size[1] * 0.1)):
draw.point((random.randint(0, size[0]), random.randint(0, size[1])),
fill=fg_color)
return draw
def post_smooth(image):
try:
import ImageFilter
except ImportError:
from PIL import ImageFilter
return image.filter(ImageFilter.SMOOTH)
def captcha_image_url(key):
""" Return url to image. Need for ajax refresh and, etc"""
return url_for('.captcha-image', args=[key])
def _callable_from_string(string_or_callable):
if callable(string_or_callable):
return string_or_callable
else:
return getattr(__import__('.'.join(string_or_callable.split('.')[:-1]),
{}, {}, ['']), string_or_callable.split('.')[-1])
def get_challenge():
return _callable_from_string(current_app.config['CAPTCHA_CHALLENGE_FUNCT'])
def noise_functions():
noise_fs = current_app.config['CAPTCHA_NOISE_FUNCTIONS']
if noise_fs:
return map(_callable_from_string, noise_fs)
return []
def filter_functions():
filter_fs = current_app.config['CAPTCHA_FILTER_FUNCTIONS']
if filter_fs:
return map(_callable_from_string, filter_fs)
return []
def generate_images(count):
from flask_captcha.models import CaptchaStore
from flask_captcha.views import make_image
import os
CaptchaStore.delete_all()
clear_images()
for i in range(0, count):
c = CaptchaStore.generate(i)
text = c.challenge
image = make_image(text)
image_path = current_app.config['CAPTCHA_PREGEN_PATH']
path = str(os.path.join(image_path, '%s.png' % c.hashkey))
print("saving to %s" % path)
out = open(path, 'wb')
image.save(out, "PNG")
out.close()
return i + 1
def clear_images():
import os
image_path = current_app.config['CAPTCHA_PREGEN_PATH']
if os.path.exists(image_path):
for the_file in os.listdir(image_path):
if the_file.endswith(".png"):
file_path = os.path.join(image_path, the_file)
if os.path.isfile(file_path):
os.unlink(file_path)
# create captcha directory if it does not exist
def init_captcha_dir():
import os
image_path = current_app.config['CAPTCHA_PREGEN_PATH']
if not os.path.exists(image_path):
os.makedirs(image_path) | PypiClean |
/ImSwitchUC2-2.1.0.tar.gz/ImSwitchUC2-2.1.0/imswitch/imcontrol/model/interfaces/thorlabs_tsi_polling_example.py | import os
import sys
import pathlib
def configure_path():
absolute_path_to_dlls = str(pathlib.Path(__file__).resolve().parent)+"\\thorlabs_tsi_sdk\\dll\\"
os.environ['PATH'] = absolute_path_to_dlls + os.pathsep + os.environ['PATH']
try:
# Python 3.8 introduces a new method to specify dll directory
os.add_dll_directory(absolute_path_to_dlls)
except AttributeError:
pass
configure_path()
import os
import tifffile
from thorlabs_tsi_sdk.tl_camera import TLCameraSDK
from thorlabs_tsi_sdk.tl_mono_to_color_processor import MonoToColorProcessorSDK
from thorlabs_tsi_sdk.tl_camera_enums import SENSOR_TYPE
NUMBER_OF_IMAGES = 10 # Number of TIFF images to be saved
OUTPUT_DIRECTORY = os.path.abspath(r'.') # Directory the TIFFs will be saved to
FILENAME = 'image.tif' # The filename of the TIFF
TAG_BITDEPTH = 32768
TAG_EXPOSURE = 32769
# delete image if it exists
if os.path.exists(OUTPUT_DIRECTORY + os.sep + FILENAME):
os.remove(OUTPUT_DIRECTORY + os.sep + FILENAME)
with TLCameraSDK() as sdk:
cameras = sdk.discover_available_cameras()
if len(cameras) == 0:
print("Error: no cameras detected!")
with sdk.open_camera(cameras[0]) as camera:
# setup the camera for continuous acquisition
camera.frames_per_trigger_zero_for_unlimited = 0
camera.image_poll_timeout_ms = 2000 # 2 second timeout
camera.arm(2)
# save these values to place in our custom TIFF tags later
bit_depth = camera.bit_depth
exposure = camera.exposure_time_us
# need to save the image width and height for color processing
image_width = camera.image_width_pixels
image_height = camera.image_height_pixels
# initialize a mono to color processor if this is a color camera
is_color_camera = (camera.camera_sensor_type == SENSOR_TYPE.BAYER)
mono_to_color_sdk = None
mono_to_color_processor = None
if is_color_camera:
mono_to_color_sdk = MonoToColorProcessorSDK()
mono_to_color_processor = mono_to_color_sdk.create_mono_to_color_processor(
camera.camera_sensor_type,
camera.color_filter_array_phase,
camera.get_color_correction_matrix(),
camera.get_default_white_balance_matrix(),
camera.bit_depth
)
# begin acquisition
camera.issue_software_trigger()
frames_counted = 0
while frames_counted < NUMBER_OF_IMAGES:
frame = camera.get_pending_frame_or_null()
if frame is None:
raise TimeoutError("Timeout was reached while polling for a frame, program will now exit")
frames_counted += 1
image_data = frame.image_buffer
if is_color_camera:
# transform the raw image data into RGB color data
image_data = mono_to_color_processor.transform_to_48(image_data, image_width, image_height)
image_data = image_data.reshape(image_height, image_width, 3)
with tifffile.TiffWriter(OUTPUT_DIRECTORY + os.sep + FILENAME, append=True) as tiff:
"""
Setting append=True here means that calling tiff.save will add the image as a page to a multipage TIFF.
"""
tiff.save(data=image_data # np.ushort image data array from the camera
)
"""
If compress > 0 tifffile will compress the image using zlib - deflate compression.
Instead of an int a str can be supplied to specify a different compression algorithm;
e.g. compress = 'lzma'
View the tifffile source or online to see what is supported.
"""
"""
The extratags parameter allows the user to specify additional tags. Programs will typically ignore
any tags from 32768 onward, which is where the bit depth and exposure have been placed. The
syntax for extra tags is (tag_code, data_type_of_value, number_of_values, value, write_once).
View the tifffile source for more information.
"""
camera.disarm()
# we did not use context manager for color processor, so manually dispose of it
if is_color_camera:
try:
mono_to_color_processor.dispose()
except Exception as exception:
print("Unable to dispose mono to color processor: " + str(exception))
try:
mono_to_color_sdk.dispose()
except Exception as exception:
print("Unable to dispose mono to color sdk: " + str(exception))
"""
Reading tiffs - to test that the tags from before worked, we're going to read back the tags on the first page.
Note that custom TIFF tags are not going to be picked up by normal TIFF viewers, but can be read programmatically
if the tag code is known.
"""
# open file
with tifffile.TiffFile(OUTPUT_DIRECTORY + os.sep + FILENAME) as tiff_read:
if len(tiff_read.pages) < 1:
raise ValueError("No pages were found in multipage TIFF")
page_one = tiff_read.pages[0]
print("First Image: Bit Depth = {} bpp, Exposure Time = {} ms".format(page_one.tags[str(TAG_BITDEPTH)].value,
page_one.tags[str(TAG_EXPOSURE)].value/1000)) | PypiClean |
/Dabo-0.9.16.tar.gz/Dabo-0.9.16/dabo/ui/uiwx/dMessageBox.py | import wx
import dabo
from dabo.dLocalize import _
def getForm():
ret = dabo.dAppRef.ActiveForm
if not ret:
# Could be a dead object
ret = None
return ret
class dMessageBox(wx.MessageDialog):
def __init__(self, message, title, style, parent=None, requestUserAttention=True,
userAttentionMode=wx.USER_ATTENTION_INFO):
if not parent:
parent = getForm()
if not wx.GetApp().IsActive() and isinstance(parent, (wx.Frame, wx.MDIParentFrame)) and requestUserAttention:
# We only want to send the requestUserAttention to the OS if our application
# isn't currently the active application. Otherwise it abuses the intent...
parent.RequestUserAttention(userAttentionMode)
# Force the message and title to strings
message = "%s" % message
title = "%s" % title
wx.MessageDialog.__init__(self, parent, message, title, style)
def areYouSure(message="Are you sure?", title=None, defaultNo=False,
cancelButton=True, parent=None, requestUserAttention=True):
"""
Display a dMessageBox asking the user to answer yes or no to a question.
Returns True, False, or None, for choices "Yes", "No", or "Cancel".
The default title comes from app.getAppInfo("appName"), or if the
application object isn't available it will be "Dabo Application".
If defaultNo is True, the 'No' button will be the default button.
If cancelButton is True (default), a third 'Cancel' button will appear.
If parent isn't passed, it will automatically resolve to the current
active form.
If requestUserAttention is True, if the operating system supports it,
the taskbar will flash (Windows) or the dock item will jump (Mac),
showing the user that your application needs attention.
"""
if title is None:
title = getDefaultTitle()
style = wx.YES_NO|wx.ICON_QUESTION
if cancelButton:
style = style|wx.CANCEL
else:
style = style & ~wx.CANCEL
if defaultNo:
style = style|wx.NO_DEFAULT
dlg = dMessageBox(message, title, style, parent=parent)
retval = dlg.ShowModal()
dlg.Destroy()
if retval in (wx.ID_YES, wx.ID_OK):
return True
elif retval in (wx.ID_NO,):
return False
else:
return None
def stop(message="Stop", title=None, parent=None, requestUserAttention=True):
"""
Display a dMessageBox informing the user that the operation cannot proceed.
Returns None.
The default title comes from app.getAppInfo("appName"), or if the
application object isn't available it will be "Dabo Application".
If parent isn't passed, it will automatically resolve to the current
active form.
If requestUserAttention is True, if the operating system supports it,
the taskbar will flash (Windows) or the dock item will jump (Mac),
showing the user that your application needs attention.
"""
if title is None:
title = getDefaultTitle()
icon = wx.ICON_HAND
showMessageBox(message=message, title=title, icon=icon, parent=parent,
requestUserAttention=requestUserAttention)
def info(message="Information", title=None, parent=None, requestUserAttention=True):
"""
Display a dMessageBox offering the user some useful information.
Returns None.
The default title comes from app.getAppInfo("appName"), or if the
application object isn't available it will be "Dabo Application".
If parent isn't passed, it will automatically resolve to the current
active form.
If requestUserAttention is True, if the operating system supports it,
the taskbar will flash (Windows) or the dock item will jump (Mac),
showing the user that your application needs attention.
"""
if title is None:
title = getDefaultTitle()
icon = wx.ICON_INFORMATION
showMessageBox(message=message, title=title, icon=icon, parent=parent,
requestUserAttention=requestUserAttention)
def exclaim(message="Important!", title=None, parent=None,
requestUserAttention=True):
"""
Display a dMessageBox urgently informing the user that we cannot proceed.
Returns None.
The default title comes from app.getAppInfo("appName"), or if the
application object isn't available it will be "Dabo Application".
If parent isn't passed, it will automatically resolve to the current
active form.
If requestUserAttention is True, if the operating system supports it,
the taskbar will flash (Windows) or the dock item will jump (Mac),
showing the user that your application needs attention.
"""
if title is None:
title = getDefaultTitle()
icon = wx.ICON_EXCLAMATION
showMessageBox(message=message, title=title, icon=icon, parent=parent,
requestUserAttention=requestUserAttention,
userAttentionMode=wx.USER_ATTENTION_ERROR)
def showMessageBox(message, title, icon, parent=None,
requestUserAttention=True, userAttentionMode=wx.USER_ATTENTION_INFO):
style = wx.OK | icon
dlg = dMessageBox(message, title, style, parent=parent,
requestUserAttention=requestUserAttention,
userAttentionMode=userAttentionMode)
dlg.CenterOnParent()
retval = dlg.ShowModal()
dlg.Destroy()
return None
def getDefaultTitle():
"""
Get a default title for the messageboxes.
Comes from app.getAppInfo("appName"), or if the application
object isn't available the title will be "Dabo Application".
"""
ret = None
if dabo.dAppRef:
ret = dabo.dAppRef.getAppInfo("appName")
if ret is None:
ret = "Dabo Application"
return ret
if __name__ == "__main__":
from dabo.dApp import dApp
app = dApp()
app.showMainFormOnStart = False
app.setup()
print areYouSure("Are you happy?")
print areYouSure("Are you sure?", cancelButton=False)
print areYouSure("So you aren\'t sad?", defaultNo=True)
# Test requesting user attention:
frm = dabo.ui.dForm()
def onExit(evt):
app.onFileExit(evt)
cap = _("After you click okay, switch to another running application\nwithin 5 seconds, to test"
" the requestUserAttention setting.\n\n\nAfterwards, click the button below to exit.")
lbl = dabo.ui.dLabel(frm, Caption=cap)
ln = dabo.ui.dLine(frm, Orientation="H", Height=3)
btn = dabo.ui.dButton(frm, Caption=_("Exit"), OnHit=onExit)
frm.Sizer.append(lbl, halign="center", border=20)
frm.Sizer.append(ln, "x", halign="center", border=120, borderSides=["left", "right"])
frm.Sizer.appendSpacer(80)
frm.Sizer.append(btn, halign="center")
frm.layout()
dabo.ui.callAfterInterval(5000, exclaim, "Abort! Abort!", parent=frm)
frm.show()
app.start() | PypiClean |
/EOmaps-7.0-py3-none-any.whl/eomaps/mapsgrid.py |
from functools import wraps, lru_cache
import numpy as np
from matplotlib.gridspec import GridSpec
import matplotlib.pyplot as plt
from .shapes import Shapes
from .eomaps import Maps
from .ne_features import NaturalEarth_features
try:
from .webmap_containers import WebMapContainer
except ImportError:
WebMapContainer = None
class MapsGrid:
"""
Initialize a grid of Maps objects
Parameters
----------
r : int, optional
The number of rows. The default is 2.
c : int, optional
The number of columns. The default is 2.
crs : int or a cartopy-projection, optional
The projection that will be assigned to all Maps objects.
(you can still change the projection of individual Maps objects later!)
See the doc of "Maps" for details.
The default is 4326.
m_inits : dict, optional
A dictionary that is used to customize the initialization the Maps-objects.
The keys of the dictionaries are used as names for the Maps-objects,
(accessible via `mgrid.m_<name>` or `mgrid[m_<name>]`) and the values are used to
identify the position of the axes in the grid.
Possible values are:
- a tuple of (row, col)
- an integer representing (row + col)
Note: If either `m_inits` or `ax_inits` is provided, ONLY objects with the
specified properties are initialized!
The default is None in which case a unique Maps-object will be created
for each grid-cell (accessible via `mgrid.m_<row>_<col>`)
ax_inits : dict, optional
Completely similar to `m_inits` but instead of `Maps` objects, ordinary
matplotlib axes will be initialized. They are accessible via `mg.ax_<name>`.
Note: If you iterate over the MapsGrid object, ONLY the initialized Maps
objects will be returned!
figsize : (float, float)
The width and height of the figure.
layer : int or str
The default layer to assign to all Maps-objects of the grid.
The default is 0.
f : matplotlib.Figure or None
The matplotlib figure to use. If None, a new figure will be created.
The default is None.
kwargs
Additional keyword-arguments passed to the `matplotlib.gridspec.GridSpec()`
function that is used to initialize the grid.
Attributes
----------
f : matplotlib.figure
The matplotlib figure object
gridspec : matplotlib.GridSpec
The matplotlib GridSpec instance used to initialize the axes.
m_<identifier> : eomaps.Maps objects
The individual Maps-objects can be accessed via `mgrid.m_<identifier>`
The identifiers are hereby `<row>_<col>` or the keys of the `m_inits`
dictionary (if provided)
ax_<identifier> : matplotlib.axes
The individual (ordinary) matplotlib axes can be accessed via
`mgrid.ax_<identifier>`. The identifiers are hereby the keys of the
`ax_inits` dictionary (if provided).
Note: if `ax_inits` is not specified, NO ordinary axes will be created!
Methods
-------
join_limits :
join the axis-limits of maps that share the same projection
share_click_events :
share click-callback events between the Maps-objects
share_pick_events :
share pick-callback events between the Maps-objects
create_axes :
create a new (ordinary) matplotlib axes
add_<...> :
call the underlying `add_<...>` method on all Maps-objects of the grid
set_<...> :
set the corresponding property on all Maps-objects of the grid
subplots_adjust :
Dynamically adjust the layout of the subplots, e.g:
>>> mg.subplots_adjust(left=0.1, right=0.9,
>>> top=0.8, bottom=0.1,
>>> wspace=0.05, hspace=0.25)
Examples
--------
To initialize a 2 by 2 grid with a large map on top, a small map
on the bottom-left and an ordinary matplotlib plot on the bottom-right, use:
>>> m_inits = dict(top = (0, slice(0, 2)),
>>> bottom_left=(1, 0))
>>> ax_inits = dict(bottom_right=(1, 1))
>>> mg = MapsGrid(2, 2, m_inits=m_inits, ax_inits=ax_inits)
>>> mg.m_top.plot_map()
>>> mg.m_bottom_left.plot_map()
>>> mg.ax_bottom_right.plot([1,2,3])
Returns
-------
eomaps.MapsGrid
Accessor to the Maps objects "m_{row}_{column}".
Notes
-----
- To perform actions on all Maps-objects of the grid, simply iterate over
the MapsGrid object!
"""
def __init__(
self,
r=2,
c=2,
crs=None,
m_inits=None,
ax_inits=None,
figsize=None,
layer="base",
f=None,
**kwargs,
):
self._Maps = []
self._names = dict()
if WebMapContainer is not None:
self._wms_container = WebMapContainer(self)
gskwargs = dict(bottom=0.01, top=0.99, left=0.01, right=0.99)
gskwargs.update(kwargs)
self.gridspec = GridSpec(nrows=r, ncols=c, **gskwargs)
if m_inits is None and ax_inits is None:
if isinstance(crs, list):
crs = np.array(crs).reshape((r, c))
else:
crs = np.broadcast_to(crs, (r, c))
self._custom_init = False
for i in range(r):
for j in range(c):
crsij = crs[i, j]
if isinstance(crsij, np.generic):
crsij = crsij.item()
if i == 0 and j == 0:
# use crs[i, j].item() to convert to native python-types
# (instead of numpy-dtypes) ... check numpy.ndarray.item
mij = Maps(
crs=crsij,
ax=self.gridspec[0, 0],
figsize=figsize,
layer=layer,
f=f,
)
mij.ax.set_label("mg_map_0_0")
self.parent = mij
else:
mij = Maps(
crs=crsij,
f=self.parent.f,
ax=self.gridspec[i, j],
layer=layer,
)
mij.ax.set_label(f"mg_map_{i}_{j}")
self._Maps.append(mij)
name = f"{i}_{j}"
self._names.setdefault("Maps", []).append(name)
setattr(self, "m_" + name, mij)
else:
self._custom_init = True
if m_inits is not None:
if not isinstance(crs, dict):
if isinstance(crs, np.generic):
crs = crs.item()
crs = {key: crs for key in m_inits}
assert self._test_unique_str_keys(
m_inits
), "EOmaps: there are duplicated keys in m_inits!"
for i, [key, val] in enumerate(m_inits.items()):
if ax_inits is not None:
q = set(m_inits).intersection(set(ax_inits))
assert (
len(q) == 0
), f"You cannot provide duplicate keys! Check: {q}"
if i == 0:
mi = Maps(
crs=crs[key],
ax=self.gridspec[val],
figsize=figsize,
layer=layer,
f=f,
)
mi.ax.set_label(f"mg_map_{key}")
self.parent = mi
else:
mi = Maps(
crs=crs[key],
ax=self.gridspec[val],
layer=layer,
f=self.parent.f,
)
mi.ax.set_label(f"mg_map_{key}")
name = str(key)
self._names.setdefault("Maps", []).append(name)
self._Maps.append(mi)
setattr(self, f"m_{name}", mi)
if ax_inits is not None:
assert self._test_unique_str_keys(
ax_inits
), "EOmaps: there are duplicated keys in ax_inits!"
for key, val in ax_inits.items():
self.create_axes(val, name=key)
def new_layer(self, layer=None):
if layer is None:
layer = self.parent.layer
mg = MapsGrid(m_inits=dict()) # initialize an empty MapsGrid
mg.gridspec = self.gridspec
for name, m in zip(self._names.get("Maps", []), self._Maps):
newm = m.new_layer(layer)
mg._Maps.append(newm)
mg._names["Maps"].append(name)
setattr(mg, "m_" + name, newm)
if m is self.parent:
mg.parent = newm
for name in self._names.get("Axes", []):
ax = getattr(self, f"ax_{name}")
mg._names["Axes"].append(name)
setattr(mg, f"ax_{name}", ax)
return mg
def cleanup(self):
for m in self:
m.cleanup()
@staticmethod
def _test_unique_str_keys(x):
# check if all keys are unique (as strings)
seen = set()
return not any(str(i) in seen or seen.add(str(i)) for i in x)
def __iter__(self):
return iter(self._Maps)
def __getitem__(self, key):
try:
if self._custom_init is False:
if isinstance(key, str):
r, c = map(int, key.split("_"))
elif isinstance(key, (list, tuple)):
r, c = key
else:
raise IndexError(f"{key} is not a valid indexer for MapsGrid")
return getattr(self, f"m_{r}_{c}")
else:
if str(key) in self._names.get("Maps", []):
return getattr(self, "m_" + str(key))
elif str(key) in self._names.get("Axes", []):
return getattr(self, "ax_" + str(key))
else:
raise IndexError(f"{key} is not a valid indexer for MapsGrid")
except:
raise IndexError(f"{key} is not a valid indexer for MapsGrid")
@property
def _preferred_wms_service(self):
return self.parent._preferred_wms_service
def create_axes(self, ax_init, name=None):
"""
Create (and return) an ordinary matplotlib axes.
Note: If you intend to use both ordinary axes and Maps-objects, it is
recommended to use explicit "m_inits" and "ax_inits" dicts in the
initialization of the MapsGrid to avoid the creation of overlapping axes!
Parameters
----------
ax_init : set
The GridSpec speciffications for the axis.
use `ax_inits = (<row>, <col>)` to get an axis in a given grid-cell
use `slice(<start>, <stop>)` for `<row>` or `<col>` to get an axis
that spans over multiple rows/columns.
Returns
-------
ax : matplotlib.axist
The matplotlib axis instance
Examples
--------
>>> ax_inits = dict(top = (0, slice(0, 2)),
>>> bottom_left=(1, 0))
>>> mg = MapsGrid(2, 2, ax_inits=ax_inits)
>>> mg.m_top.plot_map()
>>> mg.m_bottom_left.plot_map()
>>> mg.create_axes((1, 1), name="bottom_right")
>>> mg.ax_bottom_right.plot([1,2,3], [1,2,3])
"""
if name is None:
# get all existing axes
axes = [key for key in self.__dict__ if key.startswith("ax_")]
name = str(len(axes))
else:
assert (
name.isidentifier()
), f"the provided name {name} is not a valid identifier"
ax = self.f.add_subplot(self.gridspec[ax_init], label=f"mg_ax_{name}")
self._names.setdefault("Axes", []).append(name)
setattr(self, f"ax_{name}", ax)
return ax
_doc_prefix = (
"This will execute the corresponding action on ALL Maps "
+ "objects of the MapsGrid!\n"
)
@property
def children(self):
return [i for i in self if i is not self.parent]
@property
def f(self):
return self.parent.f
@wraps(Maps.plot_map)
def plot_map(self, **kwargs):
for m in self:
m.plot_map(**kwargs)
plot_map.__doc__ = _doc_prefix + plot_map.__doc__
@property
@lru_cache()
@wraps(Shapes)
def set_shape(self):
s = Shapes(self)
s.__doc__ = self._doc_prefix + s.__doc__
return s
@wraps(Maps.set_data)
def set_data(self, *args, **kwargs):
for m in self:
m.set_data(*args, **kwargs)
set_data.__doc__ = _doc_prefix + set_data.__doc__
@wraps(Maps.set_classify_specs)
def set_classify_specs(self, scheme=None, **kwargs):
for m in self:
m.set_classify_specs(scheme=scheme, **kwargs)
set_classify_specs.__doc__ = _doc_prefix + set_classify_specs.__doc__
@wraps(Maps.add_annotation)
def add_annotation(self, *args, **kwargs):
for m in self:
m.add_annotation(*args, **kwargs)
add_annotation.__doc__ = _doc_prefix + add_annotation.__doc__
@wraps(Maps.add_marker)
def add_marker(self, *args, **kwargs):
for m in self:
m.add_marker(*args, **kwargs)
add_marker.__doc__ = _doc_prefix + add_marker.__doc__
if hasattr(Maps, "add_wms"):
@property
@wraps(Maps.add_wms)
def add_wms(self):
return self._wms_container
@property
@wraps(Maps.add_feature)
def add_feature(self):
x = NaturalEarth_features(self)
return x
@wraps(Maps.add_gdf)
def add_gdf(self, *args, **kwargs):
for m in self:
m.add_gdf(*args, **kwargs)
add_gdf.__doc__ = _doc_prefix + add_gdf.__doc__
@wraps(Maps.add_line)
def add_line(self, *args, **kwargs):
for m in self:
m.add_line(*args, **kwargs)
add_line.__doc__ = _doc_prefix + add_line.__doc__
@wraps(Maps.add_scalebar)
def add_scalebar(self, *args, **kwargs):
for m in self:
m.add_scalebar(*args, **kwargs)
add_scalebar.__doc__ = _doc_prefix + add_scalebar.__doc__
@wraps(Maps.add_compass)
def add_compass(self, *args, **kwargs):
for m in self:
m.add_compass(*args, **kwargs)
add_compass.__doc__ = _doc_prefix + add_compass.__doc__
@wraps(Maps.add_colorbar)
def add_colorbar(self, *args, **kwargs):
for m in self:
m.add_colorbar(*args, **kwargs)
add_colorbar.__doc__ = _doc_prefix + add_colorbar.__doc__
@wraps(Maps.add_logo)
def add_logo(self, *args, **kwargs):
for m in self:
m.add_logo(*args, **kwargs)
add_colorbar.__doc__ = _doc_prefix + add_logo.__doc__
def share_click_events(self):
"""
Share click events between all Maps objects of the grid
"""
self.parent.cb.click.share_events(*self.children)
def share_move_events(self):
"""
Share move events between all Maps objects of the grid
"""
self.parent.cb.move.share_events(*self.children)
def share_pick_events(self, name="default"):
"""
Share pick events between all Maps objects of the grid
"""
if name == "default":
self.parent.cb.pick.share_events(*self.children)
else:
self.parent.cb.pick[name].share_events(*self.children)
def join_limits(self):
"""
Join axis limits between all Maps objects of the grid
(only possible if all maps share the same crs!)
"""
self.parent.join_limits(*self.children)
@wraps(Maps.redraw)
def redraw(self, *args):
self.parent.redraw(*args)
@wraps(plt.savefig)
def savefig(self, *args, **kwargs):
# clear all cached background layers before saving to make sure they
# are re-drawn with the correct dpi-settings
self.parent.BM._refetch_bg = True
self.parent.savefig(*args, **kwargs)
@property
@wraps(Maps.util)
def util(self):
return self.parent.util
@wraps(Maps.subplots_adjust)
def subplots_adjust(self, **kwargs):
return self.parent.subplots_adjust(**kwargs)
@wraps(Maps.get_layout)
def get_layout(self, *args, **kwargs):
return self.parent.get_layout(*args, **kwargs)
@wraps(Maps.apply_layout)
def apply_layout(self, *args, **kwargs):
return self.parent.apply_layout(*args, **kwargs)
@wraps(Maps.edit_layout)
def edit_layout(self, *args, **kwargs):
return self.parent.edit_layout(*args, **kwargs) | PypiClean |
/Nuitka-1.8.tar.gz/Nuitka-1.8/nuitka/build/inline_copy/yaml_35/yaml/dumper.py | __all__ = ['BaseDumper', 'SafeDumper', 'Dumper']
from .emitter import *
from .serializer import *
from .representer import *
from .resolver import *
class BaseDumper(Emitter, Serializer, BaseRepresenter, BaseResolver):
def __init__(self, stream,
default_style=None, default_flow_style=None,
canonical=None, indent=None, width=None,
allow_unicode=None, line_break=None,
encoding=None, explicit_start=None, explicit_end=None,
version=None, tags=None):
Emitter.__init__(self, stream, canonical=canonical,
indent=indent, width=width,
allow_unicode=allow_unicode, line_break=line_break)
Serializer.__init__(self, encoding=encoding,
explicit_start=explicit_start, explicit_end=explicit_end,
version=version, tags=tags)
Representer.__init__(self, default_style=default_style,
default_flow_style=default_flow_style)
Resolver.__init__(self)
class SafeDumper(Emitter, Serializer, SafeRepresenter, Resolver):
def __init__(self, stream,
default_style=None, default_flow_style=None,
canonical=None, indent=None, width=None,
allow_unicode=None, line_break=None,
encoding=None, explicit_start=None, explicit_end=None,
version=None, tags=None):
Emitter.__init__(self, stream, canonical=canonical,
indent=indent, width=width,
allow_unicode=allow_unicode, line_break=line_break)
Serializer.__init__(self, encoding=encoding,
explicit_start=explicit_start, explicit_end=explicit_end,
version=version, tags=tags)
SafeRepresenter.__init__(self, default_style=default_style,
default_flow_style=default_flow_style)
Resolver.__init__(self)
class Dumper(Emitter, Serializer, Representer, Resolver):
def __init__(self, stream,
default_style=None, default_flow_style=None,
canonical=None, indent=None, width=None,
allow_unicode=None, line_break=None,
encoding=None, explicit_start=None, explicit_end=None,
version=None, tags=None):
Emitter.__init__(self, stream, canonical=canonical,
indent=indent, width=width,
allow_unicode=allow_unicode, line_break=line_break)
Serializer.__init__(self, encoding=encoding,
explicit_start=explicit_start, explicit_end=explicit_end,
version=version, tags=tags)
Representer.__init__(self, default_style=default_style,
default_flow_style=default_flow_style)
Resolver.__init__(self) | PypiClean |
/DocumentTemplate-4.4.tar.gz/DocumentTemplate-4.4/CHANGES.rst | Changelog
=========
4.4 (2022-01-12)
----------------
- Drop support for Python 3.6.
4.3 (2022-12-21)
----------------
- Fix `restructured-text` format specification. Tests were silently skipped.
4.2 (2022-12-16)
----------------
- Fix insidious buildout configuration bug for tests against Zope 4.
- Add support for Python 3.11.
4.1 (2022-09-20)
----------------
- Set the ``tree-s`` cookie for ``dtml-tree`` tags with ``SameSite=Lax``.
The tree tag never set this attribute. That causes modern browsers to show
warnings in the browser console and break tree displays in the future.
See https://hacks.mozilla.org/2020/08/changes-to-samesite-cookie-behavior/
for information about the ``SameSite`` cookie attribute and why its handling
in browsers is changing.
- Add support for Python 3.10.
- Drop support for Python 3.5.
4.0 (2020-11-12)
----------------
- Make ``ustr.ustr`` Python 3 compatible
(`Zope#921 <https://github.com/zopefoundation/Zope/issues/921>`_)
- Add support for Python 3.9
- Restore ``sql_quote`` behavior of always returning native strings
(`#54 <https://github.com/zopefoundation/DocumentTemplate/issues/54>`_)
- Fix broken tree tag
(`#52 <https://github.com/zopefoundation/DocumentTemplate/issues/52>`_)
- Drop support for Python 2.
- Eventually drop BBB code leading to a deprecation warning in version 3.2+.
(`#42 <https://github.com/zopefoundation/DocumentTemplate/issues/42>`_)
- Update `isort` to version 5.
3.2.2 (2020-02-04)
------------------
- de-fang ``sql_quote`` even more as quoting is too database-specific.
(`#48 <https://github.com/zopefoundation/DocumentTemplate/issues/48>`_)
3.2.1 (2020-02-03)
------------------
- prevent a really strange ``AccessControl`` test failure when running
Zope's ``alltests`` script by importing deprecated names from
``zope.sequencesort.ssort`` instead of ``sequence/SortEx.py`` in
``sequence/__init__.py``
3.2 (2020-02-03)
----------------
- no longer escape double quotes in ``sql_quote`` - that breaks PostgreSQL
(`#48 <https://github.com/zopefoundation/DocumentTemplate/issues/48>`_)
- Added `DeprecationWarnings` for all deprecated files and names
(`#42 <https://github.com/zopefoundation/DocumentTemplate/issues/42>`_)
- Import sorting done like Zope itself
- Applied extended linting configuration similar to Zope's own
3.1 (2020-01-31)
----------------
- Escape more characters in ``sql_quote``. Taken over from PloneHotfix20200121.
3.1b2 (2019-05-16)
------------------
- Fix broken handling of SyntaxError under Python 3
3.1b1 (2019-05-13)
------------------
- Don't call HTTPExceptions that are looked up in TemplateDicts
3.0 (2019-05-09)
----------------
Changes since 2.13.2:
Breaking changes
++++++++++++++++
- Replace C code with a pure-Python implementation.
- Remove ``VSEval`` module. Please use DT_Util.EVal now.
- Remove ``DTtestExpr`` module. It contained nothing useful.
- Remove support for string exceptions in ``<dtml-except>``.
(`#29 <https://github.com/zopefoundation/DocumentTemplate/pull/29>`_)
Features
++++++++
- Add support for Python 3.5, 3.6, 3.7, 3.8.
- Make the rendering encoding configurable to fix rendering on Zope 4.
(`#43 <https://github.com/zopefoundation/DocumentTemplate/issues/43>`_)
- Add `__contains__` support to DocumentTemplate.TemplateDict.
Bug fixes
+++++++++
- Only decode input in ``html_quote`` when needed under Python 3
(`Products.PythonScripts#28 <https://github.com/zopefoundation/Products.PythonScripts/issues/28`>_)
- Make sure all JSON-serialized data is text data and not bytes.
(`#45 <https://github.com/zopefoundation/DocumentTemplate/issues/45>`_)
- Fix regression with exception handling in ``<dtml-except>`` with Python 2.
(`#25 <https://github.com/zopefoundation/DocumentTemplate/issues/25>`_)
- Stabilized TreeTag rendering for objects without ``_p_oid`` values.
(`#26 <https://github.com/zopefoundation/DocumentTemplate/issues/26>`_)
- Fix bugs with ``<dtml-in>``:
- Raise proper error if prefix is not simple.
- Fix complex multisort in Python 3.
- Fix iteration over list of tuples in Python 3.
- Ensure html_quote is being applied to content.
2.13.2 (2011-12-12)
-------------------
- Restrict the available functions in `DocumentTemplate.sequence` to public
API's of `zope.sequencesort`.
2.13.1 (2010-07-15)
-------------------
- LP #143273: Enable the dtml-var modifiers url_quote, url_unquote,
url_quote_plus and url_unquote_plus to handle unicode strings.
2.13.0 (2010-06-19)
-------------------
- Released as separate package.
| PypiClean |
/Jetson.GPIO-2.1.3.tar.gz/Jetson.GPIO-2.1.3/lib/python/Jetson/GPIO/gpio_cdev.py |
# @File name: gpio_cdev.py
# @Date:
# @Last modified by:
# @Last Modified time: 6/6/2023
# @Description: This file provides the interface to the GPIO controller
# in form of a character device. File operations such as open, close,
# ioctl, etc are provided for usage to interact with the GPIO controller.
import os
import fcntl
import ctypes
GPIO_HIGH = 1
GPIOHANDLE_REQUEST_INPUT = 0x1
GPIOHANDLE_REQUEST_OUTPUT = 0x2
GPIOEVENT_REQUEST_RISING_EDGE = 0x1
GPIOEVENT_REQUEST_FALLING_EDGE = 0x2
GPIOEVENT_REQUEST_BOTH_EDGES = 0x3
GPIO_GET_CHIPINFO_IOCTL = 0x8044B401
GPIO_GET_LINEINFO_IOCTL = 0xC048B402
GPIO_GET_LINEHANDLE_IOCTL = 0xC16CB403
GPIOHANDLE_GET_LINE_VALUES_IOCTL = 0xC040B408
GPIOHANDLE_SET_LINE_VALUES_IOCTL = 0xC040B409
GPIO_GET_LINEEVENT_IOCTL = 0xC030B404
# @brief the information about a GPIO chip
# @name: the Linux kernel name of the chip
# @label: a name for the chip
# @lines: number of GPIO lines on this chip
class gpiochip_info(ctypes.Structure):
_fields_ = [
('name', ctypes.c_char * 32),
('label', ctypes.c_char * 32),
('lines', ctypes.c_uint32),
]
# @brief the information about a GPIO handle request
# @lineoffsets: an array of lines, specified by offset index
# @flags: flags for the GPIO lines (the flag applies to all)
# @default_values: the default output value, expecting 0 or 1
# anything else will be interpreted as 1
# @consumer_label: a label for the selected GPIO line(s)
# @lines: number of lines requested in this request
# @fd: this field will contain a valid file handle (value that
# is equal or smaller than 0 means error) on success
class gpiohandle_request(ctypes.Structure):
_fields_ = [
('lineoffsets', ctypes.c_uint32 * 64),
('flags', ctypes.c_uint32),
('default_values', ctypes.c_uint8 * 64),
('consumer_label', ctypes.c_char * 32),
('lines', ctypes.c_uint32),
('fd', ctypes.c_int),
]
# @brief the information of values on a GPIO handle
# @values: current state of a line (get), contain the desired
# target state (set)
class gpiohandle_data(ctypes.Structure):
_fields_ = [
('values', ctypes.c_uint8 * 64),
]
# @brief the information about a GPIO line
# @line_offset: the local offset on this GPIO device
# @flags: flags for this line
# @name: the name of this GPIO line
# @consumer: a functional name for the consumer of this GPIO line as set by
# whatever is using it
class gpioline_info(ctypes.Structure):
_fields_ = [
('line_offset', ctypes.c_uint32),
('flags', ctypes.c_uint32),
('name', ctypes.c_char * 32),
('consumer', ctypes.c_char * 32),
]
# @brief the information about a change in a GPIO line's status
# @timestamp: estimated time of status change occurrence (ns)
# @event_type: type of event
# @info: updated line info
class gpioline_info_changed(ctypes.Structure):
_fields_ = [
('line_info', gpioline_info),
('timestamp', ctypes.c_uint64),
('event_type', ctypes.c_uint32),
('padding', ctypes.c_uint32 * 5),
]
# @brief the information about a GPIO event request
# @lineoffset: the line to subscribe to events from in offset index
# @handleflags: handle flags for the GPIO line
# @eventflags: desired flags for the GPIO event line (what edge)
# @consumer_label: a consumer label for the selected GPIO line(s)
# @fd: contain a valid file handle if successful, otherwise zero or
# negative value
class gpioevent_request(ctypes.Structure):
_fields_ = [
('lineoffset', ctypes.c_uint32),
('handleflags', ctypes.c_uint32),
('eventflags', ctypes.c_uint32),
('consumer_label', ctypes.c_char * 32),
('fd', ctypes.c_int),
]
# @brief the actual event being pushed to userspace
# @timestamp: best estimate of event occurrence's time (ns)
# @id: event identifier
class gpioevent_data(ctypes.Structure):
_fields_ = [
('timestamp', ctypes.c_uint64),
('id', ctypes.c_uint32),
]
class GPIOError(IOError):
"""Base class for GPIO errors."""
pass
# @brief open a chip by its name
# @param[in] gpio_chip: name of the chip
# @param[out] the file descriptor of the chip
def chip_open(gpio_chip):
try:
chip_fd = os.open(gpio_chip, os.O_RDONLY)
except OSError as e:
raise GPIOError(e.errno, "Opening GPIO chip: " + e.strerror)
return chip_fd
# @brief open and check the information of the chip
# @param[in] label: label of the chip
# @param[in] gpio_chip: name of the chip
# @param[out] the file descriptor of the chip
def chip_check_info(label, gpio_device):
chip_fd = chip_open(gpio_device)
chip_info = gpiochip_info()
try:
fcntl.ioctl(chip_fd, GPIO_GET_CHIPINFO_IOCTL, chip_info)
except (OSError, IOError) as e:
raise GPIOError(e.errno, "Querying GPIO chip info: " + e.strerror)
if label != chip_info.label.decode():
try:
close_chip(chip_fd)
except OSError as e:
raise GPIOError(e.errno, "Opening GPIO chip: " + e.strerror)
chip_fd = None
return chip_fd
# @brief open a chip by its label
# @param[in] label:
# @param[out] the file descriptor of the chip
def chip_open_by_label(label):
dev = '/dev/'
for device in os.listdir(dev):
if device.startswith('gpiochip'):
gpio_device = dev + device
chip_fd = chip_check_info(label, gpio_device)
if chip_fd != None:
break
if chip_fd == None:
raise Exception("{}: No such gpio device registered".format(label))
return chip_fd
# @brief close a chip
# @param[in] chip_fd: the file descriptor of the chip
def close_chip(chip_fd):
if chip_fd is None:
return
try:
os.close(chip_fd)
except (OSError, IOError) as e:
pass
# @brief open a line of a chip
# @param[in] ch_info: ChannelInfo object of the channel desired to open
# @param[out] the file descriptor of the line
def open_line(ch_info, request):
try:
fcntl.ioctl(ch_info.chip_fd, GPIO_GET_LINEHANDLE_IOCTL, request)
except (OSError, IOError) as e:
raise GPIOError(e.errno, "Opening output line handle: " + e.strerror)
ch_info.line_handle = request.fd
# @brief close a line
# @param[in] line_handle: the file descriptor of the line
def close_line(line_handle):
if line_handle is None:
return
try:
os.close(line_handle)
except OSError as e:
raise GPIOError(e.errno, "Closing existing GPIO line: " + e.strerror)
# @brief build a request handle struct
# @param[in] line_offset: the offset of the line to its chip
# @param[in] direction: the direction of the line (in or out)
# @param[in] initial: initial value of the line
# @param[in] consumer: the consumer label that uses the line
# @param[out] the request handle struct
def request_handle(line_offset, direction, initial, consumer):
request = gpiohandle_request()
request.lineoffsets[0] = line_offset
request.flags = direction
if direction == GPIOHANDLE_REQUEST_OUTPUT:
request.default_values[0] = initial if initial is not None else GPIO_HIGH
else:
if initial is not None:
raise ValueError("initial parameter is not valid for inputs")
request.consumer_label = consumer.encode()
request.lines = 1
return request
# @brief build a request event struct
# @param[in] line_offset: the offset of the line to its chip
# @param[in] edge: event's detection edge
# @param[in] consumer: the consumer label that uses the line
def request_event(line_offset, edge, consumer):
request = gpioevent_request()
request.lineoffset = line_offset
request.handleflags = GPIOHANDLE_REQUEST_INPUT
request.eventflags = edge
request.consumer_label = consumer.encode()
return request
# @brief read the value of a line
# @param[in] line_handle: file descriptor of the line
# @param[out] the value of the line
def get_value(line_handle):
data = gpiohandle_data()
try:
fcntl.ioctl(line_handle, GPIOHANDLE_GET_LINE_VALUES_IOCTL, data)
except (OSError, IOError) as e:
raise GPIOError(e.errno, "Getting line value: " + e.strerror)
return data.values[0]
# @brief write the value of a line
# @param[in] line_handle: file descriptor of the line
# @param[in] value: the value to set the line
def set_value(line_handle, value):
data = gpiohandle_data()
data.values[0] = value
try:
fcntl.ioctl(line_handle, GPIOHANDLE_SET_LINE_VALUES_IOCTL, data)
except (OSError, IOError) as e:
raise GPIOError(e.errno, "Setting line value: " + e.strerror) | PypiClean |
/KegLogin-0.5.4.tar.gz/KegLogin-0.5.4/keg_login/forms.py | from keg_elements.forms import Form, form_validator
from wtforms.fields import (
BooleanField,
HiddenField,
PasswordField,
StringField,
)
from wtforms import validators
__all__ = [
'make_change_password_form',
'make_forgot_password_form',
'make_email_login_field',
'make_login_form',
'make_reset_password_form',
]
def make_change_password_form(old_password_validators, new_password_validators):
class ChangePasswordForm(Form):
next = HiddenField()
old_password = PasswordField(
u'Old Password',
validators=[validators.DataRequired()] + old_password_validators
)
new_password = PasswordField(
u'New Password',
validators=[validators.DataRequired()] + new_password_validators
)
retype_password = PasswordField(u'Retype New Password', validators=[
validators.EqualTo('new_password', message=u'Passwords do not match')
])
return ChangePasswordForm
def make_forgot_password_form(email_validator=lambda *a, **kw: None):
class ForgotPasswordForm(Form):
next = HiddenField()
email = StringField(u'Your email address', validators=[
validators.DataRequired(),
validators.Email(),
email_validator,
])
return ForgotPasswordForm
def make_email_login_field(email_validator=None):
vl = [
validators.DataRequired(),
validators.Email(),
]
if email_validator is not None:
vl.append(email_validator)
return StringField(u'Email', validators=vl)
def make_login_form(password_validator, id_field, enable_remember_me=True):
class LoginForm(Form):
next = HiddenField()
id = id_field
password = PasswordField('Password', validators=[
validators.DataRequired(),
])
if enable_remember_me:
remember_me = BooleanField('Remember me')
@form_validator
def _password_validator(self):
password_validator(self)
return LoginForm
def make_reset_password_form(password_validators=None):
class ResetPasswordForm(Form):
next = HiddenField()
new_password = PasswordField(
u'New Password',
validators=[validators.DataRequired()] + (password_validators or []))
retype_password = PasswordField(u'Retype New Password', validators=[
validators.EqualTo('new_password', message=u'Passwords do not match'),
])
return ResetPasswordForm
def make_lock_form():
class LockForm(Form):
next = HiddenField()
password = PasswordField(
u'Passsword', validators=[validators.DataRequired()])
return LockForm
def bool_validator(pred, error_message):
"""Returns a simple WTForms validator that raises the given error message as a validation error
IFF the given predicate function returns False on the field's value.
"""
def validator(form, field):
if not pred(field.data):
raise validators.ValidationError(error_message)
return validator | PypiClean |
/AmFast-0.5.3-r541.tar.gz/AmFast-0.5.3-r541/amfast/remoting/connection.py | import time
import amfast
import flex_messages as messaging
class ConnectionError(amfast.AmFastError):
pass
class Connection(object):
"""A client connection to a Channel.
This class acts like a session.
Unique to a single flash client.
attributes (read-only)
=======================
* manager - ConnectionManager, the class that manages connection persistence.
* channel_name - string, name of the channel connection is connected to.
* id - string, Flash client's ID.
* timeout - int, timeout in milliseconds
* connected - boolean, True if connection is connected
* last_active - float, epoch timestamp when connection was last accessed.
* last_polled - float, epocj timestamp when connection last polled for messsages.
* authenticated - boolean, True if connection has been authenticated with RemoteObject style authentication.
* flex_user - string, username if 'authenticated' is True.
"""
# Keeps track of notification functions
# by their IDs,
# so they can be serialized
# when the connection is saved.
_notifications = {}
@classmethod
def _setNotifyFunc(cls, func):
func_id = id(func)
cls._notifications[func_id] = func
return func_id
@classmethod
def _getNotifyFuncById(cls, func_id):
return cls._notifications[func_id]
@classmethod
def _delNotifyFunc(cls, func_id):
del cls._notifications[func_id]
def __init__(self, manager, channel_name, id, timeout=1800000):
# These attributes should not
# changed during the life of a connection.
#
# All other attributes that may
# change during the life of a connection
# should be accessed through properties
# that call methods in the connection_manager.
self._manager = manager
self._channel_name = channel_name
self._id = id
self._timeout = timeout
# --- read-only properties --- #
def _getManager(self):
return self._manager
manager = property(_getManager)
def _getChannelName(self):
return self._channel_name
channel_name = property(_getChannelName)
def _getId(self):
return self._id
id = property(_getId)
def _getTimeout(self):
return self._timeout
timeout = property(_getTimeout)
# --- proxied properties --- #
def _getConnected(self):
return self._manager.getConnected(self)
connected = property(_getConnected)
def _getLastActive(self):
return self._manager.getLastActive(self)
last_active = property(_getLastActive)
def _getLastPolled(self):
return self._manager.getLastPolled(self)
last_polled = property(_getLastPolled)
def _getAuthenticated(self):
return self._manager.getAuthenticated(self)
authenticated = property(_getAuthenticated)
def _getFlexUser(self):
return self._manager.getFlexUser(self)
flex_user = property(_getFlexUser)
def _getNotifyFunc(self):
return self._manager.getNotifyFunc(self)
notify_func = property(_getNotifyFunc)
# --- proxied methods --- #
def touch(self):
"""Update last_active."""
self._manager.touchConnection(self)
def touchPolled(self):
"""Update last_polled."""
self._manager.touchPolled(self)
def softTouchPolled(self):
"""Update last_polled without persisting value.
Useful when ChannelSet calls _pollForMessage.
"""
self._manager.softTouchPolled(self)
def connect(self):
"""Set connected=True."""
self._manager.connectConnection(self)
def disconnect(self):
"""Set connected=False."""
self._manager.disconnectConnection(self)
def delete(self):
"""Delete connection."""
self._manager.deleteConnection(self)
def authenticate(self, user):
"""Set authenticated = True"""
self._manager.authenticateConnection(self, user)
def unAuthenticate(self):
"""Set authenticated = False"""
self._manager.unAuthenticateConnection(self)
def setNotifyFunc(self, func):
self._manager.setNotifyFunc(self, func)
def unSetNotifyFunc(self):
self._manager.unSetNotifyFunc(self)
def getSessionAttr(self, name):
"""Get a session attribute."""
return self._manager.getConnectionSessionAttr(self, name)
def setSessionAttr(self, name, val):
"""Set a session attribute."""
self._manager.setConnectionSessionAttr(self, name, val)
def delSessionAttr(self, name):
"""Del a session attribute."""
self._manager.delConnectionSessionAttr(self, name)
# --- instance methods --- #
def personalizeMessage(self, client_id, msg):
"""Return a copy of the message with client_id set."""
if hasattr(msg, 'headers'):
headers = msg.headers
else:
headers = None
return msg.__class__(headers=headers, body=msg.body,
timeToLive=msg.timeToLive, clientId=client_id,
destination=msg.destination, timestamp=msg.timestamp) | PypiClean |
/Khayyam3-1.0.0.tar.gz/Khayyam3-1.0.0/khayyam3/jalali_date.py |
from datetime import date, timedelta
import re
from algorithms import days_in_month, \
is_leap_year, \
get_julian_day_from_gregorian, \
jalali_date_from_julian_days, \
julian_day_from_jalali, \
gregorian_date_from_julian_day, \
parse
MINYEAR = 1
MAXYEAR = 3178
PERSIAN_WEEKDAY_NAMES = {
0: u'دوشنبه',
1: u'سه شنبه',
2: u'چهارشنبه',
3: u'پنجشنبه',
4: u'جمعه',
5: u'شنبه',
6: u'یکشنبه'}
PERSIAN_WEEKDAY_ABBRS = {
0: u'د',
1: u'س',
2: u'چ',
3: u'پ',
4: u'ج',
5: u'ش',
6: u'ی'}
PERSIAN_MONTH_NAMES = {
1: u'فروردین',
2: u'اردیبهشت',
3: u'خرداد',
4: u'تیر',
5: u'مرداد',
6: u'شهریور',
7: u'مهر',
8: u'آبان',
9: u'آذر',
10: u'دی',
11: u'بهمن',
12: u'اسفند'}
PERSIAN_MONTH_ABBRS = {
1: u'فر',
2: u'ار',
3: u'خر',
4: u'تی',
5: u'مر',
6: u'شه',
7: u'مه',
8: u'آب',
9: u'آذ',
10: u'دی',
11: u'به',
12: u'اس'}
def _replace_if_match(data, pattern, new):
if re.search(pattern, data):
if callable(new):
new = new()
if not isinstance(new, basestring):
new = unicode(new)
return data.replace(pattern, new)
return data
class JalaliDate(object):
"""
Representing the Jalali Date, without the time data.
"""
def __init__(self, year=1, month=1, day=1):
if year < MINYEAR or year > MAXYEAR:
raise ValueError, 'Year must be between %s and %s' % (MINYEAR, MAXYEAR)
self.year = int(year)
if month < 1 or month > 12:
raise ValueError, 'Month must be between 1 and 12'
self.month = int(month)
daysinmonth = days_in_month(year, month)
if day < 1 or day > daysinmonth:
raise ValueError, 'Day must be between 1 and %s' % daysinmonth
self.day = int(day)
##################
### Properties ###
##################
@property
def is_leap(self):
"""
Determines the year is leap or not.
"""
return is_leap_year(self.year)
@property
def days_in_month(self):
"""
Get number of days in month.
"""
return days_in_month(self.year, self.month)
#####################
### Class Methods ###
#####################
@classmethod
def from_julian_days(cls, jd):
"""
Create JalaliDate from julian day
"""
arr = jalali_date_from_julian_days(jd)
return cls(arr[0], arr[1], arr[2])
@classmethod
def from_date(cls, d):
"""
Create JalaliDate from python's datetime.date
"""
julian_days = get_julian_day_from_gregorian(d.year, d.month, d.day)
return cls.from_julian_days(julian_days)
@classmethod
def today(cls):
"""
Return the current local date.
"""
return cls.from_date(date.today())
@classmethod
def fromtimestamp(cls, timestamp, tz=None):
"""
Return the local date and time corresponding to the POSIX timestamp, such as is returned by time.time(). If optional argument tz is None or not specified, the timestamp is converted to the platform's local date and time, and the returned datetime object is naive.
Else tz must be an instance of a class tzinfo subclass, and the timestamp is converted to tz's time zone. In this case the result is equivalent to tz.fromutc(datetime.utcfromtimestamp(timestamp).replace(tzinfo=tz)).
fromtimestamp() may raise ValueError, if the timestamp is out of the range of values supported by the platform C localtime() or gmtime() functions. It's common for this to be restricted to years in 1970 through 2038. Note that on non-POSIX systems that include leap seconds in their notion of a timestamp, leap seconds are ignored by fromtimestamp(), and then it's possible to have two timestamps differing by a second that yield identical datetime objects. See also utcfromtimestamp().
"""
return cls.from_date(date.fromtimestamp(timestamp, tz=tz))
@classmethod
def fromordinal(cls, ordinal):
"""
Return the datetime corresponding to the proleptic Gregorian ordinal, where January 1 of year 1 has ordinal 1. ValueError is raised unless 1 <= ordinal <= datetime.max.toordinal(). The hour, minute, second and microsecond of the result are all 0, and tzinfo is None.
"""
#return cls.from_date(date.fromordinal(ordinal))
raise NotImplementedError()
@classmethod
def strptime(cls, date_string, frmt):
"""
Return a datetime corresponding to date_string, parsed according to format. This is equivalent to datetime(*(time.strptime(date_string, format)[0:6])). ValueError is raised if the date_string and format can't be parsed by time.strptime() or if it returns a value which isn't a time tuple. See section strftime() and strptime() Behavior.
'1387/4/12'
'%Y/%m/%d'
"""
valid_codes = {'%Y':(4, 'year'),
'%m':(2, 'month'),
'%d':(2, 'day')}
return parse(cls, date_string, frmt, valid_codes)
########################
### Instance Methods ###
########################
def to_julianday(self):
return julian_day_from_jalali(self.year, self.month, self.day)
def copy(self):
return JalaliDate(self.year, self.month, self.day)
def replace(self, year=None, month=None, day=None):
result = self.copy()
if year:
result.year = year
if month:
result.month = month
if day:
result.day = day
return result
def to_date(self):
arr = gregorian_date_from_julian_day(self.to_julianday())
return date(int(arr[0]), int(arr[1]), int(arr[2]))
def toordinal(self):
raise NotImplementedError()
def timetuple(self):
raise NotImplementedError()
def weekday(self):
return self.to_date().weekday()
def isoweekday(self):
return self.weekday() + 1
def isocalendar(self):
return (self.year, self.month, self.day)
def isoformat(self):
return '%s-%s-%s' % (self.year, self.month, self.day)
def __str__(self):
return self.isoformat()
def __repr__(self):
return 'khayyam3.JalaliDate(%s, %s, %s)' % \
(self.year, self.month, self.day)
def strftime(self, frmt):
"""
========= =======
Directive Meaning
========= =======
%a Locale’s abbreviated weekday name.
%A Locale’s full weekday name.
%b Locale’s abbreviated month name.
%B Locale’s full month name.
%d Day of the month as a decimal number [01,31].
%j Day of the year as a decimal number [001,366].
%m Month as a decimal number [01,12].
%U Week number of the year (Sunday as the first day of the week) as a decimal number [00,53]. All days in a new year preceding the first Sunday are considered to be in week 0. (4)
%w Weekday as a decimal number [0(Sunday),6].
%W Week number of the year (Monday as the first day of the week) as a decimal number [00,53]. All days in a new year preceding the first Monday are considered to be in week 0. (4)
%x Locale’s appropriate date representation.
%y Year without century as a decimal number [00,99].
%Y Year with century as a decimal number.
%% A literal '%' character.
========= =======
"""
result = _replace_if_match(frmt, '%Y', self.year)
result = _replace_if_match(result, '%y', lambda: str(self.year)[-2:])
result = _replace_if_match(result, '%m', self.month)
result = _replace_if_match(result, '%d', self.day)
result = _replace_if_match(result, '%a', self.weekdayabbr)
result = _replace_if_match(result, '%A', self.weekdayname)
result = _replace_if_match(result, '%b', self.monthabbr)
result = _replace_if_match(result, '%B', self.monthname)
result = _replace_if_match(result, '%x', self.localformat)
result = _replace_if_match(result, '%j', self.dayofyear)
result = _replace_if_match(result, '%U', lambda: self.weekofyear(6))
result = _replace_if_match(result, '%W', lambda: self.weekofyear(0))
result = _replace_if_match(result, '%w', self.weekday)
result = _replace_if_match(result, '%%', '%')
return result
def weekdayname(self):
return PERSIAN_WEEKDAY_NAMES[self.weekday()]
def weekdayabbr(self):
return PERSIAN_WEEKDAY_ABBRS[self.weekday()]
def monthname(self):
return PERSIAN_MONTH_NAMES[self.month]
def monthabbr(self):
return PERSIAN_MONTH_ABBRS[self.month]
def localformat(self):
return '%s %s %s %s' % (self.weekdayname(), self.day, self.monthname(), self.year)
def dayofyear(self):
return (self -JalaliDate(self.year, 1, 1)).days + 1
def weekofyear(self, first_day_of_week):
raise NotImplementedError()
#return (self - JalaliDate(self.year,1,1)).days / 7
#################
### Operators ###
#################
def __add__(self, x):
if isinstance(x, timedelta):
days = self.to_julianday() + x.days
return JalaliDate.from_julian_days(days)
raise ValueError('JalaliDate object can added by timedelta or JalaliDate object')
def __sub__(self, x):
if isinstance(x, timedelta):
days = self.to_julianday() - x.days
return JalaliDate.from_julian_days(days)
elif isinstance(x, JalaliDate):
days = self.to_julianday() - x.to_julianday()
return timedelta(days=days)
raise ValueError('JalaliDate object can added by timedelta or JalaliDate object')
def __lt__(self, x):
assert isinstance(x, JalaliDate), 'Comparison just allow with JalaliDate'
return self.to_julianday() < x.to_julianday()
def __le__(self, x):
assert isinstance(x, JalaliDate), 'Comparison just allow with JalaliDate'
return self.to_julianday() <= x.to_julianday()
def __eq__(self, x):
if not x:
return False
assert isinstance(x, JalaliDate), 'Comparison just allow with JalaliDate'
return self.to_julianday() == x.to_julianday()
def __ne__(self, x):
assert isinstance(x, JalaliDate), 'Comparison just allow with JalaliDate'
return self.to_julianday() <> x.to_julianday()
def __gt__(self, x):
assert isinstance(x, JalaliDate), 'Comparison just allow with JalaliDate'
return self.to_julianday() > x.to_julianday()
def __ge__(self, x):
assert isinstance(x, JalaliDate), 'Comparison just allow with JalaliDate'
return self.to_julianday() >= x.to_julianday()
## Class attributes
JalaliDate.min = JalaliDate(MINYEAR, 1, 1)
JalaliDate.max = JalaliDate(MAXYEAR, 12, 29)
JalaliDate.resolution = timedelta(days=1) | PypiClean |
/MXFusion-0.3.1.tar.gz/MXFusion-0.3.1/mxfusion/inference/batch_loop.py |
import mxnet as mx
from .grad_loop import GradLoop
class BatchInferenceLoop(GradLoop):
"""
The class for the main loop for batch gradient-based optimization.
"""
def run(self, infr_executor, data, param_dict, ctx, optimizer='adam',
learning_rate=1e-3, max_iter=1000, n_prints=10, verbose=False):
"""
:param infr_executor: The MXNet function that computes the training objective.
:type infr_executor: MXNet Gluon Block
:param data: a list of observed variables
:type data: [mxnet.ndarray]
:param param_dict: The MXNet ParameterDict for Gradient-based optimization
:type param_dict: mxnet.gluon.ParameterDict
:param ctx: MXNet context
:type ctx: mxnet.cpu or mxnet.gpu
:param optimizer: the choice of optimizer (default: 'adam')
:type optimizer: str
:param learning_rate: the learning rate of the gradient optimizer (default: 0.001)
:type learning_rate: float
:param n_prints: number of messages to print
:type n_prints: int
:param max_iter: the maximum number of iterations of gradient optimization
:type max_iter: int
:param verbose: whether to print per-iteration messages.
:type verbose: boolean
"""
trainer = mx.gluon.Trainer(param_dict,
optimizer=optimizer,
optimizer_params={'learning_rate':
learning_rate})
iter_step = max(max_iter // n_prints, 1)
for i in range(max_iter):
with mx.autograd.record():
loss, loss_for_gradient = infr_executor(mx.nd.zeros(1, ctx=ctx), *data)
loss_for_gradient.backward()
if verbose:
print('\rIteration {} loss: {}\t\t\t\t'.format(i + 1, loss.asscalar()), end='')
if ((i+1) % iter_step == 0 and i > 0) or i == max_iter-1:
print()
trainer.step(batch_size=1, ignore_stale_grad=True)
loss = infr_executor(mx.nd.zeros(1, ctx=ctx), *data) | PypiClean |
/NIA_image_2latex-1.0-py3-none-any.whl/dataset/scraping.py | import os
import sys
import random
from tqdm import tqdm
import html
import requests
import re
import tempfile
try:
from arxiv import *
from extract_latex import *
except:
from dataset.arxiv import *
from dataset.extract_latex import *
wikilinks = re.compile(r'href="/wiki/(.*?)"')
htmltags = re.compile(r'<(noscript|script)>.*?<\/\1>', re.S)
wiki_base = 'https://en.wikipedia.org/wiki/'
def parse_url(url, encoding=None):
r = requests.get(url)
if r.ok:
if encoding:
r.encoding = encoding
return html.unescape(re.sub(htmltags, '', r.text))
def parse_wiki(url):
text = parse_url(url)
linked = list(set([l for l in re.findall(wikilinks, text) if not ':' in l]))
return find_math(text, wiki=True), linked
# recursive search
def recursive_search(parser, seeds, depth=2, skip=[], unit='links', base_url=None):
visited, links = set(skip), set(seeds)
math = []
try:
for i in range(int(depth)):
link_list = list(links)
random.shuffle(link_list)
t_bar = tqdm(link_list, initial=len(visited), unit=unit)
for link in t_bar:
if not link in visited:
t_bar.set_description('searching %s' % (link))
if base_url:
m, l = parser(base_url+link)
else:
m, l = parser(link)
# check if we got any math from this wiki page and
# if not terminate the tree
if len(m) > 0:
for li in l:
links.add(li)
t_bar.total = len(links)
math.extend(m)
visited.add(link)
return list(visited), list(set(math))
except Exception as e:
raise(e)
return list(visited), list(set(math))
except KeyboardInterrupt:
return list(visited), list(set(math))
# recursive wiki search
def recursive_wiki(seeds, depth=4, skip=[]):
'''Recursivley search wikipedia for math. Every link on the starting page `start` will be visited in the next round and so on, until there is no
math in the child page anymore. This will be repeated `depth` times.'''
start = [s.split('/')[-1] for s in seeds]
return recursive_search(parse_wiki, start, depth, skip, base_url=wiki_base, unit='links')
if __name__ == '__main__':
if len(sys.argv) > 2:
url = [sys.argv[1]]
else:
url = ['https://en.wikipedia.org/wiki/Mathematics', 'https://en.wikipedia.org/wiki/Physics']
visited, math = recursive_wiki(url)
for l, name in zip([visited, math], ['visited_wiki.txt', 'math_wiki.txt']):
f = open(os.path.join(sys.path[0], 'dataset', 'data', name), 'a', encoding='utf-8')
for element in l:
f.write(element)
f.write('\n')
f.close() | PypiClean |
/Ini-Handler-0.4.0.zip/Ini-Handler-0.4.0/README.md | # Ini Handler
[](https://github.com/VesnaBrucoms/ini-handler/tree/master)
Ini Handler is a simple and small Python library for reading and writing .ini
setting files.
Ini Handler makes implementing user customisable settings painless and simple. It
achieves this by limiting the number of methods you have to remember to be able to
do what you want to do.
For example:
from ini_handler.vbini import Ini
ini_file = Ini()
ini_file['NewSetting'] = 'Simple!'
print(ini_file['NewSetting'])
Output:
'Simple!'
Just like that we have created and retrieved a new setting!
## Testing
You can use invoke to run the unit tests by typing the following:
invoke run_unit_tests
| PypiClean |
/JaqalPaw-1.2.0a1.tar.gz/JaqalPaw-1.2.0a1/src/jaqalpaw/bytecode/encoding_parameters.py | from enum import Enum
ENDIANNESS = "little"
MAXLEN = 256 // 8 # Number of bytes in a single transfer
# LUT Address Widths
# These values contain the number of bits used for an address for a
# particular LUT. The address width is the same for reading and writing
# data for the Pulse LUT (PLUT) and the Sequence LUT (SLUT), but the
# address width is asymmetric for the Gate LUT (GLUT). This is because
# the read address is partly completed by external hardware inputs and
# the read address size (GLUTW) is thus smaller than the write address
# size (GPRGW) used to program the GLUT
GPRGW = 12 # Gate LUT write address width
GLUTW = 9 # Gate LUT read address width
SLUTW = 12 # Sequence LUT address width
PLUTW = 12 # Pulse LUT address width
# Ancilla readout extends the address space for readout from the GLUT.
# While the hardware supports a more free form approach to how one might
# choose to program the GLUT for ancilla readout purposes, combining
# normal gate sequences with ancilla readout sequences require distinguishing
# between the two cases. This is currently achieved by enforcing that the
# MSB of the physical GLUT address be set to one to mark the readout as
# pertaining to an ancilla. In this case an ancilla readout of all zeros
# will produce an output that is distinguished from the normal streaming case.
# The ANCILLA_STATE_LSB also sets the offset for ancilla readout bits
# which form the upper part of the GLUT address. This may change based on
# the number of supported hardware input lines for ancilla readout but sets
# the offset for a GLUT programming word for where the LSB of the hardware
# input register should start.
ANCILLA_COMPILER_TAG_BIT = 11 # bit used for tagging an ancilla sequence in GLUT
ANCILLA_STATE_LSB = 7 # number of bits to shift readout result in gate id
# Metadata values for the programming mode to indicate target LUT
PROGPLUT = 3
PROGSLUT = 2
PROGGLUT = 1
# Metadata LSB locations associated used to communicate the type of information
# carried in the rest of the data word. Programming/streaming modes are defined
# by 3 bits starting at PROG_MODE_LSB, they have the following states:
#
# 000 = (Not Used)
# 001 = Program GLUT
# 010 = Program SLUT
# 011 = Program PLUT
# 100 = Sequence gate IDs
# 101 = Wait for Ancilla trigger, and sequence gate IDs based on readout
# 110 = Continue sequencing based on previous ancilla data
# 111 = Bypass streaming mode
#
GSEQ_ENABLE_LSB = 247 # LSB for indicating gate readout mode
ANCILLA_CONTINUE_LSB = 246 # Continue gates from last ancilla measurement
ANCILLA_WAIT_LSB = 245 # Wait for ancilla measurement
PROG_MODE_LSB = 245 # Programming mode
GLUT_BYTECNT_LSB = 236 # Number of packed GLUT programming words
SLUT_BYTECNT_LSB = 236 # Number of packed SLUT programming words
GSEQ_BYTECNT_LSB = 239 # Number of packed gate sequence identifiers
PLUT_ADDR_LSB = 229 # LSB for address word when programming PLUT
DMA_MUX_LSB = 220 # LSB for routing to channel out of DMA
# The compiler needs to incorporate a tri-state comparison for differentiating
# between different gate sequence modes, such as a conventional gate sequence
# versus a new ancilla measurement, or a continuation of an ancilla measurement
# This is captured using the following Enum type
class GateSequenceMode(Enum):
standard = 0
start_branch = 1
continue_branch = 2
# The compiler needs to handle multiple boards, each board has 8 output
# channels. When the input code targets multiple boards, the channel
# number can exceed 8, in which case a separate board is indicated, but
# the channel on that board needs to be calculated modulo 8 and is
# performed by using PER_BOARD_CH_MASK
PER_BOARD_CH_MASK = 0b111 # Bit mask for channel routing for DMA MUX
# Smallest LSB used for setting packing limits on programming data.
# This depends on the above metadata LSBs
PACKING_LIMIT_LSB = min(
GSEQ_ENABLE_LSB,
ANCILLA_CONTINUE_LSB,
ANCILLA_WAIT_LSB,
PROG_MODE_LSB,
GLUT_BYTECNT_LSB,
SLUT_BYTECNT_LSB,
GSEQ_BYTECNT_LSB,
PLUT_ADDR_LSB,
DMA_MUX_LSB,
)
# The following LSBs indicate locations of metadata used for raw data input.
# Raw data input is typically stored in the PLUT, but can also be used in
# bypass mode.
MODTYPE_LSB = 253 # Modulation type (freq/phase/amp/framerot)
SPLSHIFT_LSB = 248 # Fixed point shift for spline coefficients
AMP_FB_EN_LSB = 228 # Amplitude feedback enable (placeholder)
FRQ_FB_EN_LSB = 227 # Frequency feedback enable
OUTPUT_EN_LSB = 226 # Toggle output enable
SYNC_FLAG_LSB = 225 # Apply global synchronization
WAIT_TRIG_LSB = 224 # Wait for external trigger
# The following LSBs are specific to frame rotation metadata
APPLY_EOF_LSB = 228 # Apply frame rotation at end of pulse
CLR_FRAME_LSB = 227 # Clear frame accumulator
FWD_FRM_T1_LSB = 226 # Forward frame to tone 1
FWD_FRM_T0_LSB = 225 # Forward frame to tone 0
INV_FRM_T1_LSB = 219 # Invert sign on frame for tone 1
INV_FRM_T0_LSB = 218 # Invert sign on frame for tone 0
# Raw pulse data information is currently broken up into metadata, duration
# and 4 spline coefficients listed with bit widths from MSB to LSB as
#
# | Metadata (56) | duration (40) | U3 (40) | U2 (40) | U1 (40) | U0 (40) |
#
# Metadata in the upper 56 bits is treated by a separate routine and appended
# to the end of a final transfer
METADATA_START_LSB = 200 # Start of metadata
# Define LSBs local to upper 56 metadata bits
MODTYPE_LSB_LOC = MODTYPE_LSB - METADATA_START_LSB
SPLSHIFT_LSB_LOC = SPLSHIFT_LSB - METADATA_START_LSB
AMP_FB_EN_LSB_LOC = AMP_FB_EN_LSB - METADATA_START_LSB
APPLY_EOF_LSB_LOC = APPLY_EOF_LSB - METADATA_START_LSB
FRQ_FB_EN_LSB_LOC = FRQ_FB_EN_LSB - METADATA_START_LSB
CLR_FRAME_LSB_LOC = CLR_FRAME_LSB - METADATA_START_LSB
OUTPUT_EN_LSB_LOC = OUTPUT_EN_LSB - METADATA_START_LSB
SYNC_FLAG_LSB_LOC = SYNC_FLAG_LSB - METADATA_START_LSB
WAIT_TRIG_LSB_LOC = WAIT_TRIG_LSB - METADATA_START_LSB
DMA_MUX_OFFSET_LOC = DMA_MUX_LSB - METADATA_START_LSB
FWD_FRM_T1_LSB_LOC = FWD_FRM_T1_LSB - METADATA_START_LSB
FWD_FRM_T0_LSB_LOC = FWD_FRM_T0_LSB - METADATA_START_LSB
INV_FRM_T1_LSB_LOC = INV_FRM_T1_LSB - METADATA_START_LSB
INV_FRM_T0_LSB_LOC = INV_FRM_T0_LSB - METADATA_START_LSB
# Number of programming or gate sequence words that can be packed into a single
# transfer. PLUT programming data is always one word per transfer.
SLUT_BYTECNT = PACKING_LIMIT_LSB // (SLUTW + PLUTW)
GLUT_BYTECNT = PACKING_LIMIT_LSB // (GPRGW + 2 * SLUTW)
GSEQ_BYTECNT = PACKING_LIMIT_LSB // GLUTW
# Integer encoded representation of modulation type
FRQMOD0INT = 0
AMPMOD0INT = 1
PHSMOD0INT = 2
FRQMOD1INT = 3
AMPMOD1INT = 4
PHSMOD1INT = 5
FRMROT0INT = 6
FRMROT1INT = 7
# One-hot encoded representation of modulation type
FRQMOD0 = 1 << FRQMOD0INT
AMPMOD0 = 1 << AMPMOD0INT
PHSMOD0 = 1 << PHSMOD0INT
FRQMOD1 = 1 << FRQMOD1INT
AMPMOD1 = 1 << AMPMOD1INT
PHSMOD1 = 1 << PHSMOD1INT
FRMROT0 = 1 << FRMROT0INT
FRMROT1 = 1 << FRMROT1INT
# Set the minimum clock cycles for a pulse to help avoid underflows. This time
# is determined by state machine transitions for loading another gate, but does
# not account for serialization of pulse words.
MINIMUM_PULSE_CLOCK_CYCLES = 4 | PypiClean |
/Ecocyc_Parse-0.0.1.tar.gz/Ecocyc_Parse-0.0.1/README.md | # Ecocyc-Database-Parsing
Helpful functions for parsing EcoCyc Database file.
EcoCyc is a heavy curated scientific database for the bacterium Escherichia coli K-12 MG1655. The EcoCyc project performs literature-based curation of its genome, and of transcriptional regulation, transporters, and metabolic pathways.
Database link: https://ecocyc.org/
This repository is aiming at facilitating database analysis with Python. Mainly, the function read database files into a pandas.DataFrame. The database file formats can be found here: http://brg.ai.sri.com/ptools/flatfile-format.html
To import the package.
import Ecocyc_Parse as ep
| PypiClean |
/MySQL-python-1.2.5.zip/MySQL-python-1.2.5/MySQLdb/converters.py | from _mysql import string_literal, escape_sequence, escape_dict, escape, NULL
from MySQLdb.constants import FIELD_TYPE, FLAG
from MySQLdb.times import *
try:
from types import IntType, LongType, FloatType, NoneType, TupleType, ListType, DictType, InstanceType, \
StringType, UnicodeType, ObjectType, BooleanType, ClassType, TypeType
except ImportError:
# Python 3
long = int
IntType, LongType, FloatType, NoneType = int, long, float, type(None)
TupleType, ListType, DictType, InstanceType = tuple, list, dict, None
StringType, UnicodeType, ObjectType, BooleanType = bytes, str, object, bool
import array
try:
ArrayType = array.ArrayType
except AttributeError:
ArrayType = array.array
try:
set
except NameError:
from sets import Set as set
def Bool2Str(s, d): return str(int(s))
def Str2Set(s):
return set([ i for i in s.split(',') if i ])
def Set2Str(s, d):
return string_literal(','.join(s), d)
def Thing2Str(s, d):
"""Convert something into a string via str()."""
return str(s)
def Unicode2Str(s, d):
"""Convert a unicode object to a string using the default encoding.
This is only used as a placeholder for the real function, which
is connection-dependent."""
return s.encode()
Long2Int = Thing2Str
def Float2Str(o, d):
return '%.15g' % o
def None2NULL(o, d):
"""Convert None to NULL."""
return NULL # duh
def Thing2Literal(o, d):
"""Convert something into a SQL string literal. If using
MySQL-3.23 or newer, string_literal() is a method of the
_mysql.MYSQL object, and this function will be overridden with
that method when the connection is created."""
return string_literal(o, d)
def Instance2Str(o, d):
"""
Convert an Instance to a string representation. If the __str__()
method produces acceptable output, then you don't need to add the
class to conversions; it will be handled by the default
converter. If the exact class is not found in d, it will use the
first class it can find for which o is an instance.
"""
if o.__class__ in d:
return d[o.__class__](o, d)
cl = filter(lambda x,o=o:
type(x) is ClassType
and isinstance(o, x), d.keys())
if not cl:
cl = filter(lambda x,o=o:
type(x) is TypeType
and isinstance(o, x)
and d[x] is not Instance2Str,
d.keys())
if not cl:
return d[StringType](o,d)
d[o.__class__] = d[cl[0]]
return d[cl[0]](o, d)
def char_array(s):
return array.array('c', s)
def array2Str(o, d):
return Thing2Literal(o.tostring(), d)
def quote_tuple(t, d):
return "(%s)" % (','.join(escape_sequence(t, d)))
conversions = {
IntType: Thing2Str,
LongType: Long2Int,
FloatType: Float2Str,
NoneType: None2NULL,
TupleType: quote_tuple,
ListType: quote_tuple,
DictType: escape_dict,
InstanceType: Instance2Str,
ArrayType: array2Str,
StringType: Thing2Literal, # default
UnicodeType: Unicode2Str,
ObjectType: Instance2Str,
BooleanType: Bool2Str,
DateTimeType: DateTime2literal,
DateTimeDeltaType: DateTimeDelta2literal,
set: Set2Str,
FIELD_TYPE.TINY: int,
FIELD_TYPE.SHORT: int,
FIELD_TYPE.LONG: long,
FIELD_TYPE.FLOAT: float,
FIELD_TYPE.DOUBLE: float,
FIELD_TYPE.DECIMAL: float,
FIELD_TYPE.NEWDECIMAL: float,
FIELD_TYPE.LONGLONG: long,
FIELD_TYPE.INT24: int,
FIELD_TYPE.YEAR: int,
FIELD_TYPE.SET: Str2Set,
FIELD_TYPE.TIMESTAMP: mysql_timestamp_converter,
FIELD_TYPE.DATETIME: DateTime_or_None,
FIELD_TYPE.TIME: TimeDelta_or_None,
FIELD_TYPE.DATE: Date_or_None,
FIELD_TYPE.BLOB: [
(FLAG.BINARY, str),
],
FIELD_TYPE.STRING: [
(FLAG.BINARY, str),
],
FIELD_TYPE.VAR_STRING: [
(FLAG.BINARY, str),
],
FIELD_TYPE.VARCHAR: [
(FLAG.BINARY, str),
],
}
try:
from decimal import Decimal
conversions[FIELD_TYPE.DECIMAL] = Decimal
conversions[FIELD_TYPE.NEWDECIMAL] = Decimal
except ImportError:
pass | PypiClean |
/ChattrShopifyAPI-8.4.2.tar.gz/ChattrShopifyAPI-8.4.2/shopify/api_version.py | import re
class InvalidVersionError(Exception):
pass
class VersionNotFoundError(Exception):
pass
class ApiVersion(object):
versions = {}
@classmethod
def coerce_to_version(cls, version):
try:
return cls.versions[version]
except KeyError:
raise VersionNotFoundError
@classmethod
def define_version(cls, version):
cls.versions[version.name] = version
return version
@classmethod
def define_known_versions(cls):
cls.define_version(Unstable())
cls.define_version(Release("2020-04"))
cls.define_version(Release("2020-07"))
cls.define_version(Release("2020-10"))
cls.define_version(Release("2021-01"))
cls.define_version(Release("2021-04"))
cls.define_version(Release("2021-07"))
cls.define_version(Release("2021-10"))
@classmethod
def clear_defined_versions(cls):
cls.versions = {}
@property
def numeric_version(self):
return self._numeric_version
@property
def name(self):
return self._name
def api_path(self, site):
return site + self._path
def __eq__(self, other):
if not isinstance(other, type(self)):
return False
return self.numeric_version == int(other.numeric_version)
class Release(ApiVersion):
FORMAT = re.compile(r"^\d{4}-\d{2}$")
API_PREFIX = "/admin/api"
def __init__(self, version_number):
if not self.FORMAT.match(version_number):
raise InvalidVersionError
self._name = version_number
self._numeric_version = int(version_number.replace("-", ""))
self._path = "%s/%s" % (self.API_PREFIX, version_number)
@property
def stable(self):
return True
class Unstable(ApiVersion):
def __init__(self):
self._name = "unstable"
self._numeric_version = 9000000
self._path = "/admin/api/unstable"
@property
def stable(self):
return False
ApiVersion.define_known_versions() | PypiClean |
/GdDownloader-0.0.3.tar.gz/GdDownloader-0.0.3/README.md | # GdDownloader
Package to download files from google drive given shared link
[](https://travis-ci.com/deven96/drive_downloader) [](https://badge.fury.io/py/GdDownloader) [](https://coveralls.io/github/deven96/drive_downloader?branch=master)
- [GdDownloader](#gddownloader)
- [Installation](#installation)
- [Development](#development)
- [Documentation](#documentation)
- [Running the tests](#running-the-tests)
- [Usage](#usage)
- [Contribution](#contribution)
- [License (MIT)](#license-mit)
## Installation
```bash
pip install gddownloader
```
## Development
```bash
git clone git@github.com:deven96/drive_downloader.git
```
## Documentation
[Github Pages](https://deven96.github.io/drive_downloader)
## Running the tests
```bash
cd drive_downloader/gddownloader/
```
```bash
python tests/__init__.py
```
## Usage
Files can be downloaded from google drive providing one has a valid shared link.
One of two ways can be used to download the files : Single or according to an [example csv](gddownloader/example.csv)
```python
from gddownloader.core import GDownloader, CsvGDownloader
# Single download
share_link = r"https://drive.google.com/open?id=1Rp4Pu257IlfuoFX3sEarm8Mgl75vi1U5"
dwnloader = GDownloader(share_link)
print(gdwnloader.download_link)
dwnloader.download()
# multiple download with csv
csv_path = "example.csv"
csvdwnloader = CsvGDownloader(csv_path)
print(round(csvdwnloader.total_size, 0))
csvdwnloader.download()
```
## Contribution
You are very welcome to modify and use them in your own projects.
Please keep a link to the [original repository](https://github.com/deven96/drive_downloader). If you have made a fork with substantial modifications that you feel may be useful, then please [open a new issue on GitHub](https://github.com/deven96/drive_downloader/issues) with a link and short description.
## License (MIT)
This project is opened under the [MIT 2.0 License](https://github.com/deven96/drive_downloader/blob/master/LICENSE) which allows very broad use for both academic and commercial purposes.
| PypiClean |
/Hebel-0.02.1.tar.gz/Hebel-0.02.1/hebel/utils/call_check.py |
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 of the License, or
# (at your option) any later version.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
# You should have received a copy of the GNU General Public License along
# with this program; if not, write to the Free Software Foundation, Inc.,
# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
"""
Utility functions for checking passed arguments against call signature
of a function or class constructor.
"""
import functools
import inspect
import types
from .string_utils import match
def check_call_arguments(to_call, kwargs):
"""
Check the call signature against a dictionary of proposed arguments,
raising an informative exception in the case of mismatch.
Parameters
----------
to_call : class or callable
Function or class to examine (in the case of classes, the
constructor call signature is analyzed)
kwargs : dict
Dictionary mapping parameter names (including positional
arguments) to proposed values.
"""
if 'self' in kwargs.keys():
raise TypeError("Your dictionary includes an entry for 'self', "
"which is just asking for trouble")
orig_to_call = getattr(to_call, '__name__', str(to_call))
if not isinstance(to_call, types.FunctionType):
if hasattr(to_call, '__init__'):
to_call = to_call.__init__
elif hasattr(to_call, '__call__'):
to_call = to_call.__call__
args, varargs, keywords, defaults = inspect.getargspec(to_call)
if any(not isinstance(arg, str) for arg in args):
raise TypeError('%s uses argument unpacking, which is deprecated and '
'unsupported by this pylearn2' % orig_to_call)
if varargs is not None:
raise TypeError('%s has a variable length argument list, but '
'this is not supported by config resolution' %
orig_to_call)
if keywords is None:
bad_keywords = [arg_name for arg_name in kwargs.keys()
if arg_name not in args]
if len(bad_keywords) > 0:
bad = ', '.join(bad_keywords)
args = [ arg for arg in args if arg != 'self' ]
if len(args) == 0:
matched_str = '(It does not support any keywords, actually)'
else:
matched = [ match(keyword, args) for keyword in bad_keywords ]
matched_str = 'Did you mean %s?' % (', '.join(matched))
raise TypeError('%s does not support the following '
'keywords: %s. %s' %
(orig_to_call, bad, matched_str))
if defaults is None:
num_defaults = 0
else:
num_defaults = len(defaults)
required = args[:len(args) - num_defaults]
missing = [arg for arg in required if arg not in kwargs]
if len(missing) > 0:
#iff the im_self (or __self__) field is present, this is a
# bound method, which has 'self' listed as an argument, but
# which should not be supplied by kwargs
is_bound = hasattr(to_call, 'im_self') or hasattr(to_call, '__self__')
if len(missing) > 1 or missing[0] != 'self' or not is_bound:
if 'self' in missing:
missing.remove('self')
missing = ', '.join([str(m) for m in missing])
raise TypeError('%s did not get these expected '
'arguments: %s' % (orig_to_call, missing))
def checked_call(to_call, kwargs):
"""
Attempt calling a function or instantiating a class with a given set of
arguments, raising a more helpful exception in the case of argument
mismatch.
Parameters
----------
to_call : class or callable
Function or class to examine (in the case of classes, the
constructor call signature is analyzed)
kwargs : dict
Dictionary mapping parameter names (including positional
arguments) to proposed values.
"""
try:
return to_call(**kwargs)
except TypeError:
check_call_arguments(to_call, kwargs)
raise
def sensible_argument_errors(func):
@functools.wraps(func)
def wrapped_func(*args, **kwargs):
try:
func(*args, **kwargs)
except TypeError:
argnames, varargs, keywords, defaults = inspect.getargspec(func)
posargs = dict(zip(argnames, args))
bad_keywords = []
for keyword in kwargs:
if keyword not in argnames:
bad_keywords.append(keyword)
if len(bad_keywords) > 0:
bad = ', '.join(bad_keywords)
raise TypeError('%s() does not support the following '
'keywords: %s' % (str(func.func_name), bad))
allargsgot = set(list(kwargs.keys()) + list(posargs.keys()))
numrequired = len(argnames) - len(defaults)
diff = list(set(argnames[:numrequired]) - allargsgot)
if len(diff) > 0:
raise TypeError('%s() did not get required args: %s' %
(str(func.func_name), ', '.join(diff)))
raise
return wrapped_func | PypiClean |
/NagParser-0.0.31.tar.gz/NagParser-0.0.31/nagparser/Model/NagCommands.py | import time
import os
from datetime import datetime
from nagparser.Services.nicetime import getdatetimefromnicetime
class NagCommands(object):
def __init__(self, nag):
self.nag = nag
def scheduledowntime(self, author, starttime, endtime, comment, apikey='default', doappend=False):
TIMEFORMAT = '%Y%m%d%H%M'
try:
start = int(time.mktime(time.strptime(starttime, TIMEFORMAT)))
except Exception:
try:
start = int(time.mktime(getdatetimefromnicetime(starttime).timetuple()))
except Exception:
return 'Error: "StartTime" not in correct format.'
try:
end = int(time.mktime(time.strptime(endtime, TIMEFORMAT)))
except Exception:
try:
end = int(time.mktime(getdatetimefromnicetime(endtime, datetime.fromtimestamp(start)).timetuple()))
except Exception:
return 'Error: "EndTime" not in correct format.'
values = {'fixed': 1, 'trigger_id': 0, 'duration': 0, 'author': author,
'start_time': start, 'end_time': end, 'comment': comment}
if self.nag.classname() == 'servicegroup':
values['servicegroup_name'] = self.nag.servicegroup_name
command = 'SCHEDULE_SERVICEGROUP_SVC_DOWNTIME;<servicegroup_name>;<start_time>;<end_time>;<fixed>;<trigger_id>;<duration>;<author>;<comment>'
elif self.nag.classname() == 'host':
values['host_name'] = self.nag.host_name
command = 'SCHEDULE_HOST_SVC_DOWNTIME;<host_name>;<start_time>;<end_time>;<fixed>;<trigger_id>;<duration>;<author>;<comment>'
elif self.nag.classname() == 'service':
values['host_name'] = self.nag.host_name
values['service_description'] = self.nag.service_description
command = 'SCHEDULE_SVC_DOWNTIME;<host_name>;<service_description>;<start_time>;<end_time>;<fixed>;<trigger_id>;<duration>;<author>;<comment>'
else:
return 'Error: Invalid Nag object'
for value in values:
command = command.replace('<' + value + '>', str(values[value]))
if command.find('<') > 0:
return 'Error: Incomplete Nagios command file format substitution '
command = '[' + str(int(time.time())) + '] ' + command
if doappend:
try:
if not self.nag.nag.config.getpermissions(apikey):
return 'Error: Invalid or Missing API Key. A valid API Key is required.'
else:
commandfile = os.open(self.nag.nag.config.NAGIOS_CMD_FILE, os.O_RDWR | os.O_NONBLOCK)
os.write(commandfile, command + '\n')
os.close(commandfile)
except Exception, e:
print e
return 'Error: Appending to the Nagios command file'
return command | PypiClean |
/NNGT-2.7.0-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl/nngt/lib/sorting.py | import numpy as np
from .errors import InvalidArgument
from .test_functions import nonstring_container, is_integer
def find_idx_nearest(array, values):
'''
Find the indices of the nearest elements of `values` in a sorted `array`.
.. warning::
Both ``array`` and ``values`` should be `numpy.array` objects and
`array` MUST be sorted in increasing order.
Parameters
----------
array : reference list or np.ndarray
values : double, list or array of values to find in `array`
Returns
-------
idx : int or array representing the index of the closest value in `array`
'''
idx = np.searchsorted(array, values, side="left") # get the interval
# return the index of the closest
if isinstance(values, np.float) or is_integer(values):
if idx == len(array):
return idx-1
else:
idx -= (np.abs(values-array[idx-1]) < np.abs(values-array[idx]))
return idx
else:
# find where it is idx_max+1
overflow = (idx == len(array))
idx[overflow] -= 1
# for the others, find the nearest
tmp = idx[~overflow]
idx[~overflow] = tmp - (np.abs(values[~overflow] - array[tmp-1])
< np.abs(values[~overflow] - array[tmp]))
return idx
def _sort_neurons(sort, gids, network, data=None, return_attr=False):
'''
Sort the neurons according to the `sort` property.
If `sort` is "firing_rate" or "B2", then data must contain the `senders`
and `times` list given by a NEST ``spike_recorder``.
Parameters
----------
sort : str or array
Sorting method or indices
gids : array-like
NEST gids
network : the network
data : numpy.array of shape (N, 2)
Senders on column 1, times on column 2.
Returns
-------
For N neurons, labeled from ``GID_MIN`` to ``GID_MAX``, returns a`sorting`
array of size ``GID_MAX``, where ``sorting[gids]`` gives the sorted ids of
the neurons, i.e. an integer between 1 and N.
'''
from nngt.analysis import node_attributes, get_b2
from nngt.simulation.nest_utils import nest_version
min_nest_gid = network.nest_gids.min()
max_nest_gid = network.nest_gids.max()
sorting = np.zeros(max_nest_gid + 1)
attribute = None
sorted_ids = None
if isinstance(sort, str):
if sort == "firing_rate":
# compute number of spikes per neuron
spikes = np.bincount(data[:, 0].astype(int))
# shift from 1 in NEST 3+
max_entry = max_nest_gid + 1 if nest_version == 3 else max_nest_gid
if spikes.shape[0] < max_entry: # one entry per neuron
spikes.resize(max_entry)
# sort them (neuron with least spikes arrives at min_nest_gid)
sorted_ids = np.argsort(spikes)[min_nest_gid:] - min_nest_gid
# get attribute
if len(data[:, 0]):
idx_min = int(np.min(data[:, 0]))
attribute = spikes[idx_min:] \
/ (np.max(data[:, 1]) - np.min(data[:, 1]))
else:
attribute = []
elif sort.lower() == "b2":
attribute = get_b2(network, data=data, nodes=gids)
sorted_ids = np.argsort(attribute)
# check for non-spiking neurons
num_b2 = attribute.shape[0]
if num_b2 < network.node_nb():
spikes = np.bincount(data[:, 0])
non_spiking = np.where(spikes[min_nest_gid:] == 0)[0]
sorted_ids.resize(network.node_nb())
for i, n in enumerate(non_spiking):
sorted_ids[sorted_ids >= n] += 1
sorted_ids[num_b2 + i] = n
elif sort == "space":
xs, ys = network.get_positions().T
x_min, x_max = np.min(xs), np.max(xs)
y_min, y_max = np.min(ys), np.max(ys)
num_boxes = 10
xbins = np.linspace(x_min, x_max, num_boxes + 1)
ybins = np.linspace(y_min, y_max, num_boxes + 1)
xboxes = np.digitize(xs, xbins)
yboxes = np.digitize(ys, ybins)
attribute = xboxes*num_boxes + yboxes
sorted_ids = np.argsort(attribute)
elif sort == "x":
xs, _ = network.get_positions().T
x_min, x_max = np.min(xs), np.max(xs)
num_boxes = 10
xbins = np.linspace(x_min, x_max, num_boxes + 1)
attribute = np.digitize(xs, xbins)
sorted_ids = np.argsort(attribute)
elif sort == "y":
_, ys = network.get_positions().T
y_min, y_max = np.min(ys), np.max(ys)
num_boxes = 10
ybins = np.linspace(y_min, y_max, num_boxes + 1)
attribute = np.digitize(ys, ybins)
sorted_ids = np.argsort(attribute)
else:
attribute = node_attributes(network, sort)
sorted_ids = np.argsort(attribute)
else:
sorted_ids = np.argsort(sort)
attribute = sort[sorted_ids]
if network.is_network():
num_sorted = 1
for group in network.population.values():
gids = network.nest_gids[group.ids]
order = np.argsort(np.argsort(np.argsort(sorted_ids)[group.ids]))
sorting[gids] = num_sorted + order
num_sorted += len(group.ids)
if return_attr:
return sorting.astype(int), attribute
return sorting.astype(int)
def _sort_groups(pop):
'''
Sort the groups of a NeuralPop by decreasing size.
'''
names, groups = [], []
for name, group in pop.items():
names.append(name)
groups.append(group)
sizes = [len(g.ids) for g in groups]
order = np.argsort(sizes)[::-1]
return [names[i] for i in order], [groups[i] for i in order] | PypiClean |
/IcoCube-0.0.1a6.tar.gz/IcoCube-0.0.1a6/ICO3PluginCollection/MessageView/MinFramePlugin.py |
import sys
import tkinter
from ICO3Plugin.Plugin.ICO3FramePlugin import ICO3FramePlugin
from ICO3Utilities.Debug.LogDebug import ICO3Log
try:
import Tkinter as tk
except ImportError:
import tkinter as tk
try:
import ttk
py3 = False
except ImportError:
import tkinter.ttk as ttk
py3 = True
def vp_start_gui():
'''Starting point when module is the main routine.'''
global val, w, root
root = tk.Tk()
top = MinFramePlugin (root)
#MinFramePlugin_support.init(root, top)
root.mainloop()
# w = None
# def create_MinFramePlugin(root, *args, **kwargs):
# '''Starting point when module is imported by another program.'''
# global w, w_win, rt
# rt = root
# w = tk.Toplevel (root)
# top = MinFramePlugin (w)
# # MinFramePlugin_support.init(w, top, *args, **kwargs)
# return (w, top)
#
# def destroy_MinFramePlugin():
# global w
# w.destroy()
# w = None
class MinFramePlugin(ICO3FramePlugin):
theFrame = None
theMainframe = None
theSenderHeader = None
theReceiverPort = None
theTaskEvent = None
def on_closing(self): # Avoid Frame Close
# ICO3Log.print("Plugin","Close Application")
# self.removeMe()
# sys.exit(0)
pass
def __init__(self, xMainFrame=None, XY = None):
if xMainFrame is not None:
self.theMainframe = xMainFrame
if self.theMainframe is None:
return
XYPos = "110,110"
if XY != None:
XYPos = XY
pass
xGeometry = "430x153" + self.getXYExtention(XYPos)
ICO3Log.print("Plugin","Geometrie MinFrame : " + xGeometry)
'''This class configures and populates the toplevel window.
top is the toplevel containing window.'''
_bgcolor = '#d9d9d9' # X11 color: 'gray85'
_fgcolor = '#000000' # X11 color: 'black'
_compcolor = '#d9d9d9' # X11 color: 'gray85'
_ana1color = '#d9d9d9' # X11 color: 'gray85'
_ana2color = '#ececec' # Closest X11 color: 'gray92'
self.style = ttk.Style()
if sys.platform == "win32":
self.style.theme_use('winnative')
self.style.configure('.',background=_bgcolor)
self.style.configure('.',foreground=_fgcolor)
self.style.map('.',background=
[('selected', _compcolor), ('active',_ana2color)])
self.theFrame = tk.Toplevel(self.theMainframe)
self.theFrame.geometry(xGeometry)
self.theFrame.minsize(148, 1)
self.theFrame.maxsize(2564, 1415)
self.theFrame.resizable(1, 1)
self.theFrame.title("New Toplevel")
self.theFrame.configure(background="#d9d9d9")
self.theFrame.protocol("WM_DELETE_WINDOW", self.on_closing) # Necessary against inadvertent Frame close
self.BTSend = tk.Button(self.theFrame)
self.BTSend.place(relx=0.814, rely=0.131, height=33, width=45)
self.BTSend.configure(activebackground="#ececec")
self.BTSend.configure(activeforeground="#000000")
self.BTSend.configure(background="#d9d9d9")
self.BTSend.configure(disabledforeground="#a3a3a3")
self.BTSend.configure(foreground="#000000")
self.BTSend.configure(highlightbackground="#d9d9d9")
self.BTSend.configure(highlightcolor="black")
self.BTSend.configure(pady="0")
self.BTSend.configure(text='''Send''')
self.BTSend.configure(command=self.SendtheMessage)
self.TextToSend = tk.Entry(self.theFrame)
self.TextToSend.place(relx=0.07, rely=0.131,height=24, relwidth=0.684)
self.TextToSend.configure(background="white")
self.TextToSend.configure(disabledforeground="#a3a3a3")
self.TextToSend.configure(font="TkFixedFont")
self.TextToSend.configure(foreground="#000000")
self.TextToSend.configure(insertbackground="black")
self.TextReceived = tk.Text(self.theFrame)
self.TextReceived.place(relx=0.256, rely=0.458, relheight=0.418
, relwidth=0.684)
self.TextReceived.configure(background="white")
self.TextReceived.configure(font="TkTextFont")
self.TextReceived.configure(foreground="black")
self.TextReceived.configure(highlightbackground="#d9d9d9")
self.TextReceived.configure(highlightcolor="black")
self.TextReceived.configure(insertbackground="black")
self.TextReceived.configure(selectbackground="#c4c4c4")
self.TextReceived.configure(selectforeground="black")
self.TextReceived.configure(wrap="word")
self.TextReceived.configure(state="disable")
self.Label1 = tk.Label(self.theFrame)
self.Label1.place(relx=0.07, rely=0.458, height=26, width=57)
self.Label1.configure(background="#d9d9d9")
self.Label1.configure(disabledforeground="#a3a3a3")
self.Label1.configure(foreground="#000000")
self.Label1.configure(text="Receive")
def SendtheMessage(self):
TextInput = self.TextToSend.get()
# Create Message from destination Header template and the Text
# Send Message and Check Header Address
# If result = 1 is OK
result = self.sendMessageToTarget("TargetTest", TextInput)
# result = self.createSendMessageCheck(self.theSenderHeader, TextInput)
self.TextToSend.delete(0, 'end')
pass
# Receive a message from ICOCUBE via an event
def callBackReceiveMessage(self, xMessage):
# Get the payload message as String
TextRec = xMessage.getPayloadString()
# Display It
self.TextReceived.configure(state="normal")
self.TextReceived.delete('1.0', tkinter.END)
self.TextReceived.insert('1.0', TextRec)
self.TextReceived.configure(state="disable")
return 1 # return Status 1 is OK
# Init the plugin with Argvs as String.
def initPlugin(self, Argvs):
# get Task parameter with the Port will use to receiver port
# and Target to specify the target to send message
# getTaskParameterFlat get target Address after internal Processing and checking.
# xTargetTest = self.getTaskParameterFlat("TargetTest")
#
# if xTargetTest is not None:
# self.theReceiverPort = xTargetTest.Port # Store Port for next usage
# if xTargetTest.Target is not None:
# # Process Target address with Node Directory if necessary
# # and Create MessageHeader Template to send Data
# self.theSenderHeader = self.createMessageHeader(xTargetTest.Target)
self.theFrame.title(Argvs + " (" + str(self.theModuleMaster.ModuleID) + ")") # use Args in the Frame Title
pass
def startPlugin(self):
LoopCount = 0
self.theTaskEvent = self.createInstallTaskEventFromTask("TargetTest", self.callBackReceiveMessage)
def stopPlugin(self):
# Remove TaskEvent from message Dispatcher
self.removeTaskEvent(self.theTaskEvent)
self.theFrame.destroy()
pass
LoopCount = 0
LoopInternalCount = 0
def MainLoopProcess(self):
if self.LoopInternalCount >= 10:
xTT = "LoopCount = "+ str(self.LoopCount)
ICO3Log.print("Plugin",xTT)
result = self.sendMessageToTarget("TargetTest", xTT)
# result = self.createSendMessageCheck(self.theSenderHeader, xTT)
self.LoopInternalCount = 0
self.LoopCount += 1
self.LoopInternalCount += 1
pass
if __name__ == '__main__':
vp_start_gui() | PypiClean |
/Flask-API.yandex-0.6.2.1.tar.gz/Flask-API.yandex-0.6.2.1/flask_api/request.py | from __future__ import unicode_literals
from flask import Request
from flask_api.negotiation import DefaultNegotiation
from flask_api.settings import default_settings
from werkzeug.datastructures import MultiDict
from werkzeug.urls import url_decode_stream
from werkzeug.wsgi import get_content_length
from werkzeug._compat import to_unicode
import io
class APIRequest(Request):
parser_classes = default_settings.DEFAULT_PARSERS
renderer_classes = default_settings.DEFAULT_RENDERERS
negotiator_class = DefaultNegotiation
empty_data_class = MultiDict
# Request parsing...
@property
def data(self):
if not hasattr(self, '_data'):
self._parse()
return self._data
@property
def form(self):
if not hasattr(self, '_form'):
self._parse()
return self._form
@property
def files(self):
if not hasattr(self, '_files'):
self._parse()
return self._files
def _parse(self):
"""
Parse the body of the request, using whichever parser satifies the
client 'Content-Type' header.
"""
if not self.content_type or not self.content_length:
self._set_empty_data()
return
negotiator = self.negotiator_class()
parsers = [parser_cls() for parser_cls in self.parser_classes]
options = self._get_parser_options()
try:
parser, media_type = negotiator.select_parser(parsers)
ret = parser.parse(self.stream, media_type, **options)
except:
# Ensure that accessing `request.data` again does not reraise
# the exception, so that eg exceptions can handle properly.
self._set_empty_data()
raise
if parser.handles_file_uploads:
assert isinstance(ret, tuple) and len(ret) == 2, 'Expected a two-tuple of (data, files)'
self._data, self._files = ret
else:
self._data = ret
self._files = self.empty_data_class()
self._form = self._data if parser.handles_form_data else self.empty_data_class()
def _get_parser_options(self):
"""
Any additional information to pass to the parser.
"""
return {'content_length': self.content_length}
def _set_empty_data(self):
"""
If the request does not contain data then return an empty representation.
"""
self._data = self.empty_data_class()
self._form = self.empty_data_class()
self._files = self.empty_data_class()
# Content negotiation...
@property
def accepted_renderer(self):
if not hasattr(self, '_accepted_renderer'):
self._perform_content_negotiation()
return self._accepted_renderer
@property
def accepted_media_type(self):
if not hasattr(self, '_accepted_media_type'):
self._perform_content_negotiation()
return self._accepted_media_type
def _perform_content_negotiation(self):
"""
Determine which of the available renderers should be used for
rendering the response content, based on the client 'Accept' header.
"""
negotiator = self.negotiator_class()
renderers = [renderer() for renderer in self.renderer_classes]
self._accepted_renderer, self._accepted_media_type = negotiator.select_renderer(renderers)
# Method and content type overloading.
@property
def method(self):
if not hasattr(self, '_method'):
self._perform_method_overloading()
return self._method
@property
def content_type(self):
if not hasattr(self, '_content_type'):
self._perform_method_overloading()
return self._content_type
@property
def content_length(self):
if not hasattr(self, '_content_length'):
self._perform_method_overloading()
return self._content_length
@property
def stream(self):
if not hasattr(self, '_stream'):
self._perform_method_overloading()
return self._stream
def _perform_method_overloading(self):
"""
Perform method and content type overloading.
Provides support for browser PUT, PATCH, DELETE & other requests,
by specifing a '_method' form field.
Also provides support for browser non-form requests (eg JSON),
by specifing '_content' and '_content_type' form fields.
"""
self._method = super(APIRequest, self).method
self._stream = super(APIRequest, self).stream
self._content_type = self.headers.get('Content-Type')
self._content_length = get_content_length(self.environ)
if (self._method == 'POST' and self._content_type == 'application/x-www-form-urlencoded'):
# Read the request data, then push it back onto the stream again.
body = self.get_data()
data = url_decode_stream(io.BytesIO(body))
self._stream = io.BytesIO(body)
if '_method' in data:
# Support browser forms with PUT, PATCH, DELETE & other methods.
self._method = data['_method']
if '_content' in data and '_content_type' in data:
# Support browser forms with non-form data, such as JSON.
body = data['_content'].encode('utf8')
self._stream = io.BytesIO(body)
self._content_type = data['_content_type']
self._content_length = len(body)
# Misc...
@property
def full_path(self):
"""
Werzueg's full_path implementation always appends '?', even when the
query string is empty. Let's fix that.
"""
if not self.query_string:
return self.path
return self.path + u'?' + to_unicode(self.query_string, self.url_charset)
# @property
# def auth(self):
# if not has_attribute(self, '_auth'):
# self._authenticate()
# return self._auth
# def _authenticate(self):
# for authentication_class in self.authentication_classes:
# authenticator = authentication_class()
# try:
# auth = authenticator.authenticate(self)
# except exceptions.APIException:
# self._not_authenticated()
# raise
# if not auth is None:
# self._authenticator = authenticator
# self._auth = auth
# return
# self._not_authenticated()
# def _not_authenticated(self):
# self._authenticator = None
# self._auth = None | PypiClean |
/FlaskCms-0.0.4.tar.gz/FlaskCms-0.0.4/flask_cms/static/js/ckeditor/lang/el.js | /*
Copyright (c) 2003-2013, CKSource - Frederico Knabben. All rights reserved.
For licensing, see LICENSE.html or http://ckeditor.com/license
*/
CKEDITOR.lang['el']={"dir":"ltr","editor":"Επεξεργαστής Πλούσιου Κειμένου","common":{"editorHelp":"Πατήστε το ALT 0 για βοήθεια","browseServer":"Εξερεύνηση διακομιστή","url":"URL","protocol":"Πρωτόκολλο","upload":"Ανέβασμα","uploadSubmit":"Αποστολή στον Διακομιστή","image":"Εικόνα","flash":"Εισαγωγή Flash","form":"Φόρμα","checkbox":"Κουτί επιλογής","radio":"Κουμπί επιλογής","textField":"Πεδίο κειμένου","textarea":"Περιοχή κειμένου","hiddenField":"Κρυφό πεδίο","button":"Κουμπί","select":"Πεδίο επιλογής","imageButton":"Κουμπί εικόνας","notSet":"<δεν έχει ρυθμιστεί>","id":"Id","name":"Όνομα","langDir":"Κατεύθυνση κειμένου","langDirLtr":"Αριστερά προς Δεξιά (LTR)","langDirRtl":"Δεξιά προς Αριστερά (RTL)","langCode":"Κωδικός Γλώσσας","longDescr":"Αναλυτική περιγραφή URL","cssClass":"Stylesheet Classes","advisoryTitle":"Ενδεικτικός τίτλος","cssStyle":"Μορφή κειμένου","ok":"OK","cancel":"Ακύρωση","close":"Κλείσιμο","preview":"Προεπισκόπηση","resize":"Σύρσιμο για αλλαγή μεγέθους","generalTab":"Γενικά","advancedTab":"Για προχωρημένους","validateNumberFailed":"Αυτή η τιμή δεν είναι αριθμός.","confirmNewPage":"Οι όποιες αλλαγές στο περιεχόμενο θα χαθούν. Είσαστε σίγουροι ότι θέλετε να φορτώσετε μια νέα σελίδα;","confirmCancel":"Μερικές επιλογές έχουν αλλάξει. Είσαστε σίγουροι ότι θέλετε να κλείσετε το παράθυρο διαλόγου;","options":"Επιλογές","target":"Προορισμός","targetNew":"Νέο Παράθυρο (_blank)","targetTop":"Αρχική Περιοχή (_top)","targetSelf":"Ίδια Περιοχή (_self)","targetParent":"Γονεϊκό Παράθυρο (_parent)","langDirLTR":"Αριστερά προς Δεξιά (LTR)","langDirRTL":"Δεξιά προς Αριστερά (RTL)","styles":"Μορφή","cssClasses":"Stylesheet Classes","width":"Πλάτος","height":"Ύψος","align":"Στοίχιση","alignLeft":"Αριστερά","alignRight":"Δεξιά","alignCenter":"Κέντρο","alignTop":"Πάνω","alignMiddle":"Μέση","alignBottom":"Κάτω","invalidValue":"Μη έγκυρη τιμή.","invalidHeight":"Το ύψος πρέπει να είναι ένας αριθμός.","invalidWidth":"Το πλάτος πρέπει να είναι ένας αριθμός.","invalidCssLength":"Η τιμή που ορίζεται για το πεδίο \"%1\" πρέπει να είναι ένας θετικός αριθμός με ή χωρίς μια έγκυρη μονάδα μέτρησης CSS (px, %, in, cm, mm, em, ex, pt, ή pc).","invalidHtmlLength":"Η τιμή που ορίζεται για το πεδίο \"%1\" πρέπει να είναι ένας θετικός αριθμός με ή χωρίς μια έγκυρη μονάδα μέτρησης HTML (px ή %).","invalidInlineStyle":"Η τιμή για το εν σειρά στυλ πρέπει να περιέχει ένα ή περισσότερα ζεύγη με την μορφή \"όνομα: τιμή\" διαχωρισμένα με Ελληνικό ερωτηματικό.","cssLengthTooltip":"Εισάγεται μια τιμή σε pixel ή έναν αριθμό μαζί με μια έγκυρη μονάδα μέτρησης CSS (px, %, in, cm, mm, em, ex, pt, ή pc).","unavailable":"%1<span class=\"cke_accessibility\">, δεν είναι διαθέσιμο</span>"},"about":{"copy":"Πνευματικά δικαιώματα © $1 Με επιφύλαξη παντός δικαιώματος.","dlgTitle":"Περί του CKEditor","help":"Ελέγξτε το $1 για βοήθεια.","moreInfo":"Για πληροφορίες αδειών παρακαλούμε επισκεφθείτε την ιστοσελίδα μας:","title":"Περί του CKEditor","userGuide":"CKEditor User's Guide"},"basicstyles":{"bold":"Έντονα","italic":"Πλάγια","strike":"Διαγράμμιση","subscript":"Δείκτης","superscript":"Εκθέτης","underline":"Υπογράμμιση"},"bidi":{"ltr":"Διεύθυνση κειμένου από αριστερά στα δεξιά","rtl":"Διεύθυνση κειμένου από δεξιά στα αριστερά"},"blockquote":{"toolbar":"Περιοχή Παράθεσης"},"clipboard":{"copy":"Αντιγραφή","copyError":"Οι ρυθμίσεις ασφαλείας του φυλλομετρητή σας δεν επιτρέπουν την επιλεγμένη εργασία αντιγραφής. Χρησιμοποιείστε το πληκτρολόγιο (Ctrl/Cmd+C).","cut":"Αποκοπή","cutError":"Οι ρυθμίσεις ασφαλείας του φυλλομετρητή σας δεν επιτρέπουν την επιλεγμένη εργασία αποκοπής. Χρησιμοποιείστε το πληκτρολόγιο (Ctrl/Cmd+X).","paste":"Επικόλληση","pasteArea":"Περιοχή Επικόλλησης","pasteMsg":"Παρακαλώ επικολήστε στο ακόλουθο κουτί χρησιμοποιόντας το πληκτρολόγιο (<strong>Ctrl/Cmd+V</strong>) και πατήστε OK.","securityMsg":"Λόγων των ρυθμίσεων ασφάλειας του περιηγητή σας, ο επεξεργαστής δεν μπορεί να έχει πρόσβαση στην μνήμη επικόλλησης. Χρειάζεται να επικολλήσετε ξανά σε αυτό το παράθυρο.","title":"Επικόλληση"},"colorbutton":{"auto":"Αυτόματα","bgColorTitle":"Χρώμα Φόντου","colors":{"000":"Μαύρο","800000":"Maroon","8B4513":"Saddle Brown","2F4F4F":"Dark Slate Gray","008080":"Teal","000080":"Navy","4B0082":"Indigo","696969":"Dark Gray","B22222":"Fire Brick","A52A2A":"Brown","DAA520":"Golden Rod","006400":"Dark Green","40E0D0":"Turquoise","0000CD":"Medium Blue","800080":"Μώβ","808080":"Γκρί","F00":"Red","FF8C00":"Dark Orange","FFD700":"Gold","008000":"Green","0FF":"Cyan","00F":"Blue","EE82EE":"Violet","A9A9A9":"Dim Gray","FFA07A":"Light Salmon","FFA500":"Orange","FFFF00":"Yellow","00FF00":"Lime","AFEEEE":"Pale Turquoise","ADD8E6":"Light Blue","DDA0DD":"Plum","D3D3D3":"Light Grey","FFF0F5":"Lavender Blush","FAEBD7":"Antique White","FFFFE0":"Light Yellow","F0FFF0":"Honeydew","F0FFFF":"Azure","F0F8FF":"Alice Blue","E6E6FA":"Lavender","FFF":"White"},"more":"Περισσότερα χρώματα...","panelTitle":"Χρώματα","textColorTitle":"Χρώμα Κειμένου"},"colordialog":{"clear":"Καθαρισμός","highlight":"Σήμανση","options":"Επιλογές Χρωμάτων","selected":"Επιλεγμένο Χρώμα","title":"Επιλογή Χρώματος"},"templates":{"button":"Πρότυπα","emptyListMsg":"(Δεν έχουν καθοριστεί πρότυπα)","insertOption":"Αντικατάσταση υπάρχοντων περιεχομένων","options":"Επιλογές Προτύπου","selectPromptMsg":"Παρακαλώ επιλέξτε πρότυπο για εισαγωγή στο πρόγραμμα","title":"Πρότυπα Περιεχομένου"},"contextmenu":{"options":"Επιλογές Αναδυόμενου Μενού"},"div":{"IdInputLabel":"Id","advisoryTitleInputLabel":"Ενδεικτικός Τίτλος","cssClassInputLabel":"Stylesheet Classes","edit":"Επεξεργασία Div","inlineStyleInputLabel":"Στυλ Εν Σειρά","langDirLTRLabel":"Αριστερά προς Δεξιά (LTR)","langDirLabel":"Κατεύθυνση Κειμένου","langDirRTLLabel":"Δεξιά προς Αριστερά (RTL)","languageCodeInputLabel":"Κωδικός Γλώσσας","remove":"Διαγραφή Div","styleSelectLabel":"Μορφή","title":"Δημιουργεία Div","toolbar":"Δημιουργεία Div"},"toolbar":{"toolbarCollapse":"Σύμπτηξη Εργαλειοθήκης","toolbarExpand":"Ανάπτυξη Εργαλειοθήκης","toolbarGroups":{"document":"Έγγραφο","clipboard":"Clipboard/Undo","editing":"Σε επεξεργασία","forms":"Φόρμες","basicstyles":"Βασικά στυλ","paragraph":"Παράγραφος","links":"Συνδέσμοι","insert":"Εισαγωγή","styles":"Στυλ","colors":"Χρώματα","tools":"Εργαλεία"},"toolbars":"Εργαλειοθήκες Επεξεργαστή"},"elementspath":{"eleLabel":"Διαδρομή στοιχείων","eleTitle":"%1 στοιχείο"},"find":{"find":"Αναζήτηση","findOptions":"Find Options","findWhat":"Αναζήτηση για:","matchCase":"Έλεγχος πεζών/κεφαλαίων","matchCyclic":"Match cyclic","matchWord":"Εύρεση πλήρους λέξης","notFoundMsg":"Το κείμενο δεν βρέθηκε.","replace":"Αντικατάσταση","replaceAll":"Αντικατάσταση Όλων","replaceSuccessMsg":"%1 occurrence(s) replaced.","replaceWith":"Αντικατάσταση με:","title":"Αναζήτηση και Αντικατάσταση"},"fakeobjects":{"anchor":"Εισαγωγή/επεξεργασία Άγκυρας","flash":"Ταινία Flash","hiddenfield":"Κρυφό πεδίο","iframe":"IFrame","unknown":"Άγνωστο Αντικείμενο"},"flash":{"access":"Πρόσβαση Script","accessAlways":"Πάντα","accessNever":"Ποτέ","accessSameDomain":"Ίδιο όνομα τομέα","alignAbsBottom":"Απόλυτα Κάτω","alignAbsMiddle":"Απόλυτα στη Μέση","alignBaseline":"Γραμμή Βάσης","alignTextTop":"Κορυφή Κειμένου","bgcolor":"Χρώμα Υποβάθρου","chkFull":"Να Επιτρέπεται η Προβολή σε Πλήρη Οθόνη","chkLoop":"Επανάληψη","chkMenu":"Ενεργοποίηση Flash Menu","chkPlay":"Αυτόματη Εκτέλεση","flashvars":"Μεταβλητές για Flash","hSpace":"Οριζόντιο Διάστημα","properties":"Ιδιότητες Flash","propertiesTab":"Ιδιότητες","quality":"Ποιότητα","qualityAutoHigh":"Αυτόματη Υψηλή","qualityAutoLow":"Αυτόματη Χαμηλή","qualityBest":"Καλύτερη","qualityHigh":"Υψηλή","qualityLow":"Χαμηλή","qualityMedium":"Μεσαία","scale":"Μεγέθυνση","scaleAll":"Εμφάνιση όλων","scaleFit":"Ακριβές Μέγεθος","scaleNoBorder":"Χωρίς Περίγραμμα","title":"Ιδιότητες Flash","vSpace":"Κάθετο Διάστημα","validateHSpace":"Το HSpace πρέπει να είναι αριθμός.","validateSrc":"Εισάγετε την τοποθεσία (URL) του υπερσυνδέσμου (Link)","validateVSpace":"Το VSpace πρέπει να είναι αριθμός.","windowMode":"Τρόπος λειτουργίας παραθύρου.","windowModeOpaque":"Συμπαγές","windowModeTransparent":"Διάφανο","windowModeWindow":"Παράθυρο"},"font":{"fontSize":{"label":"Μέγεθος","voiceLabel":"Μέγεθος γραμματοσειράς","panelTitle":"Μέγεθος Γραμματοσειράς"},"label":"Γραμματοσειρά","panelTitle":"Όνομα Γραμματοσειράς","voiceLabel":"Γραμματοσειρά"},"forms":{"button":{"title":"Ιδιότητες Κουμπιού","text":"Κείμενο (Τιμή)","type":"Τύπος","typeBtn":"Κουμπί","typeSbm":"Υποβολή","typeRst":"Επαναφορά"},"checkboxAndRadio":{"checkboxTitle":"Ιδιότητες Κουτιού Επιλογής","radioTitle":"Ιδιότητες Κουμπιού Επιλογής","value":"Τιμή","selected":"Επιλεγμένο"},"form":{"title":"Ιδιότητες Φόρμας","menu":"Ιδιότητες Φόρμας","action":"Δράση","method":"Μέθοδος","encoding":"Κωδικοποίηση"},"hidden":{"title":"Ιδιότητες Κρυφού Πεδίου","name":"Όνομα","value":"Τιμή"},"select":{"title":"Ιδιότητες Πεδίου Επιλογής","selectInfo":"Πληροφορίες Πεδίου Επιλογής","opAvail":"Διαθέσιμες Επιλογές","value":"Τιμή","size":"Μέγεθος","lines":"γραμμές","chkMulti":"Να επιτρέπονται οι πολλαπλές επιλογές","opText":"Κείμενο","opValue":"Τιμή","btnAdd":"Προσθήκη","btnModify":"Τροποποίηση","btnUp":"Πάνω","btnDown":"Κάτω","btnSetValue":"Προεπιλογή","btnDelete":"Διαγραφή"},"textarea":{"title":"Ιδιότητες Περιοχής Κειμένου","cols":"Στήλες","rows":"Σειρές"},"textfield":{"title":"Ιδιότητες Πεδίου Κειμένου","name":"Όνομα","value":"Τιμή","charWidth":"Πλάτος Χαρακτήρων","maxChars":"Μέγιστοι χαρακτήρες","type":"Τύπος","typeText":"Κείμενο","typePass":"Κωδικός","typeEmail":"Email","typeSearch":"Αναζήτηση","typeTel":"Τηλέφωνο ","typeUrl":"URL"}},"format":{"label":"Μορφοποίηση","panelTitle":"Μορφοποίηση Παραγράφου","tag_address":"Διεύθυνση","tag_div":"Κανονικό (DIV)","tag_h1":"Επικεφαλίδα 1","tag_h2":"Επικεφαλίδα 2","tag_h3":"Επικεφαλίδα 3","tag_h4":"Επικεφαλίδα 4","tag_h5":"Επικεφαλίδα 5","tag_h6":"Επικεφαλίδα 6","tag_p":"Κανονικό","tag_pre":"Μορφοποιημένο"},"horizontalrule":{"toolbar":"Εισαγωγή Οριζόντιας Γραμμής"},"iframe":{"border":"Προβολή περιγράμματος πλαισίου","noUrl":"Παρακαλούμε εισάγεται το URL του iframe","scrolling":"Ενεργοποίηση μπαρών κύλισης","title":"IFrame Properties","toolbar":"IFrame"},"image":{"alertUrl":"Εισάγετε την τοποθεσία (URL) της εικόνας","alt":"Εναλλακτικό Κείμενο","border":"Περίγραμμα","btnUpload":"Αποστολή στον Διακομιστή","button2Img":"Θέλετε να μετατρέψετε το επιλεγμένο κουμπί εικόνας σε απλή εικόνα;","hSpace":"Οριζόντιο Διάστημα","img2Button":"Θέλετε να μεταμορφώσετε την επιλεγμένη εικόνα που είναι πάνω σε ένα κουμπί;","infoTab":"Πληροφορίες Εικόνας","linkTab":"Σύνδεσμος","lockRatio":"Κλείδωμα Αναλογίας","menu":"Ιδιότητες Εικόνας","resetSize":"Επαναφορά Αρχικού Μεγέθους","title":"Ιδιότητες Εικόνας","titleButton":"Ιδιότητες Κουμπιού Εικόνας","upload":"Ανέβασμα","urlMissing":"Το URL πηγής για την εικόνα λείπει.","vSpace":"Κάθετο Διάστημα","validateBorder":"Το περίγραμμα πρέπει να είναι ένας ακέραιος αριθμός.","validateHSpace":"Το HSpace πρέπει να είναι ένας ακέραιος αριθμός.","validateVSpace":"Το VSpace πρέπει να είναι ένας ακέραιος αριθμός."},"indent":{"indent":"Αύξηση Εσοχής","outdent":"Μείωση Εσοχής"},"smiley":{"options":"Επιλογές Smiley","title":"Επιλέξτε ένα Smiley","toolbar":"Smiley"},"justify":{"block":"Πλήρης Στοίχιση","center":"Στοίχιση στο Κέντρο","left":"Στοίχιση Αριστερά","right":"Στοίχιση Δεξιά"},"link":{"acccessKey":"Συντόμευση","advanced":"Για προχωρημένους","advisoryContentType":"Ενδεικτικός Τύπος Περιεχομένου","advisoryTitle":"Ενδεικτικός Τίτλος","anchor":{"toolbar":"Εισαγωγή/επεξεργασία Άγκυρας","menu":"Ιδιότητες άγκυρας","title":"Ιδιότητες άγκυρας","name":"Όνομα άγκυρας","errorName":"Παρακαλούμε εισάγετε όνομα άγκυρας","remove":"Αφαίρεση Άγκυρας"},"anchorId":"Βάσει του Element Id","anchorName":"Βάσει του Ονόματος της άγκυρας","charset":"Κωδικοποίηση Χαρακτήρων Προσαρτημένης Πηγής","cssClasses":"Stylesheet Classes","emailAddress":"Διεύθυνση e-mail","emailBody":"Κείμενο Μηνύματος","emailSubject":"Θέμα Μηνύματος","id":"Id","info":"Πληροφορίες Συνδέσμου","langCode":"Κατεύθυνση Κειμένου","langDir":"Κατεύθυνση Κειμένου","langDirLTR":"Αριστερά προς Δεξιά (LTR)","langDirRTL":"Δεξιά προς Αριστερά (RTL)","menu":"Επεξεργασία Συνδέσμου","name":"Όνομα","noAnchors":"(Δεν υπάρχουν άγκυρες στο κείμενο)","noEmail":"Εισάγετε την διεύθυνση ηλεκτρονικού ταχυδρομείου","noUrl":"Εισάγετε την τοποθεσία (URL) του υπερσυνδέσμου (Link)","other":"<άλλο>","popupDependent":"Εξαρτημένο (Netscape)","popupFeatures":"Επιλογές Αναδυόμενου Παραθύρου","popupFullScreen":"Πλήρης Οθόνη (IE)","popupLeft":"Θέση Αριστερά","popupLocationBar":"Γραμμή Τοποθεσίας","popupMenuBar":"Γραμμή Επιλογών","popupResizable":"Προσαρμοζόμενο Μέγεθος","popupScrollBars":"Μπάρες Κύλισης","popupStatusBar":"Γραμμή Κατάστασης","popupToolbar":"Εργαλειοθήκη","popupTop":"Θέση Πάνω","rel":"Σχέση","selectAnchor":"Επιλέξτε μια άγκυρα","styles":"Μορφή","tabIndex":"Σειρά Μεταπήδησης","target":"Παράθυρο Προορισμού","targetFrame":"<πλαίσιο>","targetFrameName":"Όνομα Παραθύρου Προορισμού","targetPopup":"<αναδυόμενο παράθυρο>","targetPopupName":"Όνομα Αναδυόμενου Παραθύρου","title":"Σύνδεσμος","toAnchor":"Άγκυρα σε αυτή τη σελίδα","toEmail":"E-Mail","toUrl":"URL","toolbar":"Σύνδεσμος","type":"Τύπος Συνδέσμου","unlink":"Αφαίρεση Συνδέσμου (Link)","upload":"Ανέβασμα"},"list":{"bulletedlist":"Εισαγωγή/Απομάκρυνση Λίστας Κουκκίδων","numberedlist":"Εισαγωγή/Απομάκρυνση Αριθμημένης Λίστας"},"liststyle":{"armenian":"Armenian numbering","bulletedTitle":"Ιδιότητες Λίστας Σημείων","circle":"Κύκλος","decimal":"Δεκαδικός (1, 2, 3, κτλ)","decimalLeadingZero":"Decimal leading zero (01, 02, 03, etc.)","disc":"Δίσκος","georgian":"Georgian numbering (an, ban, gan, etc.)","lowerAlpha":"Lower Alpha (a, b, c, d, e, etc.)","lowerGreek":"Lower Greek (alpha, beta, gamma, etc.)","lowerRoman":"Lower Roman (i, ii, iii, iv, v, etc.)","none":"Τίποτα","notset":"<δεν έχει οριστεί>","numberedTitle":"Ιδιότητες Αριθμημένης Λίστας ","square":"Τετράγωνο","start":"Εκκίνηση","type":"Τύπος","upperAlpha":"Upper Alpha (A, B, C, D, E, etc.)","upperRoman":"Upper Roman (I, II, III, IV, V, etc.)","validateStartNumber":"Ο αριθμός εκκίνησης της αρίθμησης πρέπει να είναι ακέραιος αριθμός."},"magicline":{"title":"Εισάγετε παράγραφο εδώ "},"maximize":{"maximize":"Μεγιστοποίηση","minimize":"Ελαχιστοποίηση"},"newpage":{"toolbar":"Νέα Σελίδα"},"pagebreak":{"alt":"Αλλαγή Σελίδας","toolbar":"Εισαγωγή τέλους σελίδας"},"pastetext":{"button":"Επικόλληση ως Απλό Κείμενο","title":"Επικόλληση ως Απλό Κείμενο"},"pastefromword":{"confirmCleanup":"Το κείμενο που επικολλάται φαίνεται να είναι αντιγραμμένο από το Word. Μήπως θα θέλατε να καθαριστεί προτού επικολληθεί;","error":"Δεν ήταν δυνατό να καθαριστούν τα δεδομένα λόγω ενός εσωτερικού σφάλματος","title":"Επικόλληση από το Word","toolbar":"Επικόλληση από το Word"},"preview":{"preview":"Προεπισκόπιση"},"print":{"toolbar":"Εκτύπωση"},"removeformat":{"toolbar":"Αφαίρεση Μορφοποίησης"},"save":{"toolbar":"Αποθήκευση"},"selectall":{"toolbar":"Επιλογή όλων"},"showblocks":{"toolbar":"Προβολή Περιοχών"},"sourcearea":{"toolbar":"HTML κώδικας"},"specialchar":{"options":"Επιλογές Ειδικών Χαρακτήρων","title":"Επιλέξτε έναν Ειδικό Χαρακτήρα","toolbar":"Εισαγωγή Ειδικού Χαρακτήρα"},"scayt":{"about":"About SCAYT","aboutTab":"Περί","addWord":"Προσθήκη στο λεξικό","allCaps":"Να αγνοούνται όλες οι λέξεις σε κεφαλαία","dic_create":"Δημιουργία","dic_delete":"Διαγραφή","dic_field_name":"Όνομα λεξικού","dic_info":"Initially the User Dictionary is stored in a Cookie. However, Cookies are limited in size. When the User Dictionary grows to a point where it cannot be stored in a Cookie, then the dictionary may be stored on our server. To store your personal dictionary on our server you should specify a name for your dictionary. If you already have a stored dictionary, please type its name and click the Restore button.","dic_rename":"Μετονομασία","dic_restore":"Ανάκτηση","dictionariesTab":"Λεξικά","disable":"Disable SCAYT","emptyDic":"Το όνομα του λεξικού δεν πρέπει να είναι κενό.","enable":"Enable SCAYT","ignore":"Αγνόησε το","ignoreAll":"Να αγνοηθούν όλα","ignoreDomainNames":"Ignore Domain Names","langs":"Γλώσσες","languagesTab":"Γλώσσες","mixedCase":"Ignore Words with Mixed Case","mixedWithDigits":"Ignore Words with Numbers","moreSuggestions":"Περισσότερες προτάσεις","opera_title":"Not supported by Opera","options":"Επιλογές","optionsTab":"Επιλογές","title":"Spell Check As You Type","toggle":"Toggle SCAYT","noSuggestions":"No suggestion"},"stylescombo":{"label":"Μορφές","panelTitle":"Στυλ Μορφοποίησης","panelTitle1":"Στυλ Κομματιών","panelTitle2":"Στυλ Εν Σειρά","panelTitle3":"Στυλ Αντικειμένων"},"table":{"border":"Πάχος Περιγράμματος","caption":"Λεζάντα","cell":{"menu":"Κελί","insertBefore":"Εισαγωγή Κελιού Πριν","insertAfter":"Εισαγωγή Κελιού Μετά","deleteCell":"Διαγραφή Κελιών","merge":"Ενοποίηση Κελιών","mergeRight":"Συγχώνευση Με Δεξιά","mergeDown":"Συγχώνευση Με Κάτω","splitHorizontal":"Οριζόντιο Μοίρασμα Κελιού","splitVertical":"Κατακόρυφο Μοίρασμα Κελιού","title":"Ιδιότητες Κελιού","cellType":"Τύπος Κελιού","rowSpan":"Εύρος Σειρών","colSpan":"Εύρος Στηλών","wordWrap":"Word Wrap","hAlign":"Οριζόντια Στοίχιση","vAlign":"Κάθετη Στοίχιση","alignBaseline":"Baseline","bgColor":"Χρώμα Φόντου","borderColor":"Χρώμα Περιγράμματος","data":"Δεδομένα","header":"Κεφαλίδα","yes":"Ναι","no":"Όχι","invalidWidth":"Το πλάτος του κελιού πρέπει να είναι ένας αριθμός.","invalidHeight":"Το ύψος του κελιού πρέπει να είναι ένας αριθμός.","invalidRowSpan":"Rows span must be a whole number.","invalidColSpan":"Columns span must be a whole number.","chooseColor":"Επιλέξτε"},"cellPad":"Γέμισμα κελιών","cellSpace":"Διάστημα κελιών","column":{"menu":"Στήλη","insertBefore":"Εισαγωγή Στήλης Πριν","insertAfter":"Εισαγωγή Σειράς Μετά","deleteColumn":"Διαγραφή Κολωνών"},"columns":"Κολώνες","deleteTable":"Διαγραφή πίνακα","headers":"Κεφαλίδες","headersBoth":"Και τα δύο","headersColumn":"Πρώτη Στήλη","headersNone":"Κανένα","headersRow":"Πρώτη Σειρά","invalidBorder":"Το πάχος του περιγράμματος πρέπει να είναι ένας αριθμός.","invalidCellPadding":"Το γέμισμα μέσα στα κελιά πρέπει να είναι ένας θετικός αριθμός.","invalidCellSpacing":"Η απόσταση μεταξύ των κελιών πρέπει να είναι ένας θετικός αριθμός.","invalidCols":"Ο αριθμός των στηλών πρέπει να είναι μεγαλύτερος από 0.","invalidHeight":"Το ύψος του πίνακα πρέπει να είναι ένας αριθμός.","invalidRows":"Ο αριθμός των σειρών πρέπει να είναι μεγαλύτερος από 0.","invalidWidth":"Το πλάτος του πίνακα πρέπει να είναι ένας αριθμός.","menu":"Ιδιότητες Πίνακα","row":{"menu":"Σειρά","insertBefore":"Εισαγωγή Σειράς Από Πάνω","insertAfter":"Εισαγωγή Σειράς Από Κάτω","deleteRow":"Διαγραφή Γραμμών"},"rows":"Γραμμές","summary":"Περίληψη","title":"Ιδιότητες Πίνακα","toolbar":"Πίνακας","widthPc":"τοις εκατό","widthPx":"pixels","widthUnit":"μονάδα πλάτους"},"undo":{"redo":"Επαναφορά","undo":"Αναίρεση"},"wsc":{"btnIgnore":"Αγνόηση","btnIgnoreAll":"Αγνόηση όλων","btnReplace":"Αντικατάσταση","btnReplaceAll":"Αντικατάσταση όλων","btnUndo":"Αναίρεση","changeTo":"Αλλαγή σε","errorLoading":"Error loading application service host: %s.","ieSpellDownload":"Δεν υπάρχει εγκατεστημένος ορθογράφος. Θέλετε να τον κατεβάσετε τώρα;","manyChanges":"Ο ορθογραφικός έλεγχος ολοκληρώθηκε: Άλλαξαν %1 λέξεις","noChanges":"Ο ορθογραφικός έλεγχος ολοκληρώθηκε: Δεν άλλαξαν λέξεις","noMispell":"Ο ορθογραφικός έλεγχος ολοκληρώθηκε: Δεν βρέθηκαν λάθη","noSuggestions":"- Δεν υπάρχουν προτάσεις -","notAvailable":"Η υπηρεσία δεν είναι διαθέσιμη αυτήν την στιγμή.","notInDic":"Δεν υπάρχει στο λεξικό","oneChange":"Ο ορθογραφικός έλεγχος ολοκληρώθηκε: Άλλαξε μια λέξη","progress":"Γίνεται ορθογραφικός έλεγχος...","title":"Ορθογραφικός Έλεγχος","toolbar":"Ορθογραφικός Έλεγχος"}}; | PypiClean |
/Andy_mess_server-0.0.1-py3-none-any.whl/server/server/main_window.py | from PyQt5.QtWidgets import QMainWindow, QAction, qApp, QLabel, QTableView
from PyQt5.QtGui import QStandardItemModel, QStandardItem
from PyQt5.QtCore import QTimer
import sys
sys.path.append('../')
from server.stat_window import StatWindow
from server.config_window import ConfigWindow
from server.add_user import RegisterUser
from server.remove_user import DelUserDialog
class MainWindow(QMainWindow):
"""
Класс - основное окно сервера.
"""
def __init__(self, database, server, config):
super().__init__()
# База данных сервера
self.database = database
self.server_thread = server
self.config = config
# Ярлык выхода
self.exitAction = QAction('Выход', self)
self.exitAction.setShortcut('Ctrl+Q')
self.exitAction.triggered.connect(qApp.quit)
# Кнопка обновить список клиентов
self.refresh_button = QAction('Обновить список', self)
# Кнопка настроек сервера
self.config_btn = QAction('Настройки сервера', self)
# Кнопка регистрации пользователя
self.register_btn = QAction('Регистрация пользователя', self)
# Кнопка удаления пользователя
self.remove_btn = QAction('Удаление пользователя', self)
# Кнопка вывести историю сообщений
self.show_history_button = QAction('История клиентов', self)
# Статусбар
self.statusBar()
self.statusBar().showMessage('Server Working')
# Тулбар
self.toolbar = self.addToolBar('MainBar')
self.toolbar.addAction(self.exitAction)
self.toolbar.addAction(self.refresh_button)
self.toolbar.addAction(self.show_history_button)
self.toolbar.addAction(self.config_btn)
self.toolbar.addAction(self.register_btn)
self.toolbar.addAction(self.remove_btn)
# Настройки геометрии основного окна
# Поскольку работать с динамическими размерами мы не умеем, и мало
# времени на изучение, размер окна фиксирован.
self.setFixedSize(800, 600)
self.setWindowTitle('Messaging Server alpha release')
# Надпись о том, что ниже список подключённых клиентов
self.label = QLabel('Список подключённых клиентов:', self)
self.label.setFixedSize(240, 15)
self.label.move(10, 35)
# Окно со списком подключённых клиентов.
self.active_clients_table = QTableView(self)
self.active_clients_table.move(10, 55)
self.active_clients_table.setFixedSize(780, 400)
# Таймер, обновляющий список клиентов 1 раз в секунду
self.timer = QTimer()
self.timer.timeout.connect(self.create_users_model)
self.timer.start(1000)
# Связываем кнопки с процедурами
self.refresh_button.triggered.connect(self.create_users_model)
self.show_history_button.triggered.connect(self.show_statistics)
self.config_btn.triggered.connect(self.server_config)
self.register_btn.triggered.connect(self.reg_user)
self.remove_btn.triggered.connect(self.rem_user)
# Последним параметром отображаем окно.
self.show()
def create_users_model(self):
"""
Метод заполняющий таблицу активных пользователей.
:return: ничего не возвращает
"""
list_users = self.database.active_users_list()
list = QStandardItemModel()
list.setHorizontalHeaderLabels(
['Имя Клиента', 'IP Адрес', 'Порт', 'Время подключения'])
for row in list_users:
user, ip, port, time = row
user = QStandardItem(user)
user.setEditable(False)
ip = QStandardItem(ip)
ip.setEditable(False)
port = QStandardItem(str(port))
port.setEditable(False)
# Уберём милисекунды из строки времени, т.к. такая точность не
# требуется.
time = QStandardItem(str(time.replace(microsecond=0)))
time.setEditable(False)
list.appendRow([user, ip, port, time])
self.active_clients_table.setModel(list)
self.active_clients_table.resizeColumnsToContents()
self.active_clients_table.resizeRowsToContents()
def show_statistics(self):
"""
Метод создающий окно со статистикой клиентов.
:return: ничего не возвращает
"""
global stat_window
stat_window = StatWindow(self.database)
stat_window.show()
def server_config(self):
"""
Метод создающий окно с настройками сервера.
:return: ничего не возвращает
"""
global config_window
# Создаём окно и заносим в него текущие параметры
config_window = ConfigWindow(self.config)
def reg_user(self):
"""
Метод создающий окно регистрации пользователя.
:return: ничего не возвращает
"""
global reg_window
reg_window = RegisterUser(self.database, self.server_thread)
reg_window.show()
def rem_user(self):
"""
Метод создающий окно удаления пользователя.
:return: ничего не возвращает
"""
global rem_window
rem_window = DelUserDialog(self.database, self.server_thread)
rem_window.show() | PypiClean |
/EZID-0.3.tar.gz/EZID-0.3/README.rst | ==================
EZID Python Client
==================
============================
NOT AN OFFICIAL EZID PROJECT
============================
A Python client to ease programmatic use of the EZID web api.
Currently, the module also provides the same client interface as the sample
code in https://ezid.cdlib.org/doc/apidoc.html and borrows heavily from it.
See https://bitbucket.org/mredar/ezid for most current source
This is not officially endorsed by EZID. For any problems with the code, please contact me directly at mark dot redar at ucop dot edu.
| PypiClean |
/Office365_REST_with_timeout-0.1.1-py3-none-any.whl/office365/onedrive/sites/site.py | from office365.base_item import BaseItem
from office365.entity_collection import EntityCollection
from office365.onedrive.analytics.item_activity_stat import ItemActivityStat
from office365.onedrive.columns.column_definition import ColumnDefinition
from office365.onedrive.contenttypes.content_type import ContentType
from office365.onedrive.drives.drive import Drive
from office365.onedrive.analytics.item_analytics import ItemAnalytics
from office365.onedrive.lists.list_collection import ListCollection
from office365.onedrive.listitems.list_item import ListItem
from office365.onedrive.permissions.permission import Permission
from office365.onedrive.sharepoint_ids import SharePointIds
from office365.onedrive.sites.site_collection import SiteCollection
from office365.onenote.onenote import Onenote
from office365.runtime.http.http_method import HttpMethod
from office365.runtime.queries.service_operation_query import ServiceOperationQuery
from office365.runtime.resource_path import ResourcePath
class Site(BaseItem):
"""The site resource provides metadata and relationships for a SharePoint site. """
def get_by_path(self, path):
"""
Retrieve properties and relationships for a site resource. A site resource represents a team site in SharePoint.
In addition to retrieving a site by ID you can retrieve a site based on server-relative URL path.
Site collection hostname (contoso.sharepoint.com)
Site path, relative to server hostname.
There is also a reserved site identifier, root, which always references the root site for a given target,
as follows:
/sites/root: The tenant root site.
/groups/{group-id}/sites/root: The group's team site.
:type path: str
"""
return_site = Site(self.context)
qry = ServiceOperationQuery(self, "GetByPath", [path], None, None, return_site)
self.context.add_query(qry)
return return_site
def get_activities_by_interval(self, start_dt=None, end_dt=None, interval=None):
"""
Get a collection of itemActivityStats resources for the activities that took place on this resource
within the specified time interval.
:param datetime.datetime start_dt: The start time over which to aggregate activities.
:param datetime.datetime end_dt: The end time over which to aggregate activities.
:param str interval: The aggregation interval.
"""
params = {
"startDateTime": start_dt.strftime('%m-%d-%Y') if start_dt else None,
"endDateTime": end_dt.strftime('%m-%d-%Y') if end_dt else None,
"interval": interval
}
return_type = EntityCollection(self.context, ItemActivityStat)
qry = ServiceOperationQuery(self, "getActivitiesByInterval", params, None, None, return_type)
self.context.add_query(qry)
def _construct_request(request):
request.method = HttpMethod.Get
self.context.before_execute(_construct_request)
return return_type
@property
def site_collection(self):
"""Provides details about the site's site collection. Available only on the root site."""
return self.properties.get("siteCollection", SiteCollection())
@property
def sharepoint_ids(self):
"""Returns identifiers useful for SharePoint REST compatibility."""
return self.properties.get('sharepointIds', SharePointIds())
@property
def items(self):
"""Used to address any item contained in this site. This collection cannot be enumerated."""
return self.get_property('items',
EntityCollection(self.context, ListItem, ResourcePath("items", self.resource_path)))
@property
def columns(self):
"""The collection of columns under this site."""
return self.properties.get('columns',
EntityCollection(self.context, ColumnDefinition,
ResourcePath("columns", self.resource_path)))
@property
def content_types(self):
"""The collection of content types under this site."""
return self.properties.get('contentTypes',
EntityCollection(self.context, ContentType,
ResourcePath("contentTypes", self.resource_path)))
@property
def lists(self):
"""The collection of lists under this site."""
return self.properties.get('lists',
ListCollection(self.context, ResourcePath("lists", self.resource_path)))
@property
def permissions(self):
"""The collection of lists under this site."""
return self.properties.get('permissions',
EntityCollection(self.context, Permission,
ResourcePath("permissions", self.resource_path)))
@property
def drive(self):
"""The default drive (document library) for this site."""
return self.properties.get('drive',
Drive(self.context, ResourcePath("drive", self.resource_path)))
@property
def drives(self):
"""The collection of drives under this site."""
return self.properties.get('drives',
EntityCollection(self.context, Drive, ResourcePath("drives", self.resource_path)))
@property
def sites(self):
"""The collection of sites under this site."""
return self.properties.get('sites',
EntityCollection(self.context, Site, ResourcePath("sites", self.resource_path)))
@property
def analytics(self):
"""Analytics about the view activities that took place on this site."""
return self.properties.get('analytics',
ItemAnalytics(self.context, ResourcePath("analytics", self.resource_path)))
@property
def onenote(self):
"""Represents the Onenote services available to a site."""
return self.properties.get('onenote',
Onenote(self.context, ResourcePath("onenote", self.resource_path)))
def get_property(self, name, default_value=None):
if default_value is None:
property_mapping = {
"contentTypes": self.content_types
}
default_value = property_mapping.get(name, None)
return super(Site, self).get_property(name, default_value)
def set_property(self, name, value, persist_changes=True):
super(Site, self).set_property(name, value, persist_changes)
if name == "id" and self._resource_path.segment == "root":
self._resource_path = ResourcePath(value, self._resource_path.parent)
return self | PypiClean |
/DjangoDjangoAppCenter-0.0.11-py3-none-any.whl/AppCenter/simpleui/static/admin/simpleui-x/elementui/umd/locale/sl.js | (function (global, factory) {
if (typeof define === "function" && define.amd) {
define('element/locale/sl', ['module', 'exports'], factory);
} else if (typeof exports !== "undefined") {
factory(module, exports);
} else {
var mod = {
exports: {}
};
factory(mod, mod.exports);
global.ELEMENT.lang = global.ELEMENT.lang || {};
global.ELEMENT.lang.sl = mod.exports;
}
})(this, function (module, exports) {
'use strict';
exports.__esModule = true;
exports.default = {
el: {
colorpicker: {
confirm: 'V redu',
clear: 'Počisti'
},
datepicker: {
now: 'Zdaj',
today: 'Danes',
cancel: 'Prekliči',
clear: 'Počisti',
confirm: 'Potrdi',
selectDate: 'Izberi datum',
selectTime: 'Izberi čas',
startDate: 'Začetni datum',
startTime: 'Začetni čas',
endDate: 'Končni datum',
endTime: 'Končni čas',
prevYear: 'Prejšnje leto',
nextYear: 'Naslednje leto',
prevMonth: 'Prejšnji mesec',
nextMonth: 'Naslednji mesec',
year: '',
month1: 'Jan',
month2: 'Feb',
month3: 'Mar',
month4: 'Apr',
month5: 'Maj',
month6: 'Jun',
month7: 'Jul',
month8: 'Avg',
month9: 'Sep',
month10: 'Okt',
month11: 'Nov',
month12: 'Dec',
week: 'teden',
weeks: {
sun: 'Ned',
mon: 'Pon',
tue: 'Tor',
wed: 'Sre',
thu: 'Čet',
fri: 'Pet',
sat: 'Sob'
},
months: {
jan: 'Jan',
feb: 'Feb',
mar: 'Mar',
apr: 'Apr',
may: 'Maj',
jun: 'Jun',
jul: 'Jul',
aug: 'Avg',
sep: 'Sep',
oct: 'Okt',
nov: 'Nov',
dec: 'Dec'
}
},
select: {
loading: 'Nalaganje',
noMatch: 'Ni ustreznih podatkov',
noData: 'Ni podatkov',
placeholder: 'Izberi'
},
cascader: {
noMatch: 'Ni ustreznih podatkov',
loading: 'Nalaganje',
placeholder: 'Izberi',
noData: 'Ni podatkov'
},
pagination: {
goto: 'Pojdi na',
pagesize: '/stran',
total: 'Skupno {total}',
pageClassifier: ''
},
messagebox: {
title: 'Sporočilo',
confirm: 'V redu',
cancel: 'Prekliči',
error: 'Nedovoljen vnos'
},
upload: {
deleteTip: 'press delete to remove', // to be translated
delete: 'Izbriši',
preview: 'Predogled',
continue: 'Nadaljuj'
},
table: {
emptyText: 'Ni podatkov',
confirmFilter: 'Potrdi',
resetFilter: 'Ponastavi',
clearFilter: 'Vse',
sumText: 'Skupno'
},
tree: {
emptyText: 'Ni podatkov'
},
transfer: {
noMatch: 'Ni ustreznih podatkov',
noData: 'Ni podatkov',
titles: ['Seznam 1', 'Seznam 2'],
filterPlaceholder: 'Vnesi ključno besedo',
noCheckedFormat: '{total} elementov',
hasCheckedFormat: '{checked}/{total} izbranih'
},
image: {
error: 'FAILED' // to be translated
},
pageHeader: {
title: 'Back' // to be translated
}
}
};
module.exports = exports['default'];
}); | PypiClean |
/OASYS1-ESRF-Extensions-0.0.69.tar.gz/OASYS1-ESRF-Extensions-0.0.69/orangecontrib/esrf/syned/widgets/extension/ow_ebs.py | import os, sys
import numpy
import scipy.constants as codata
from syned.storage_ring.magnetic_structures.undulator import Undulator
from syned.storage_ring.magnetic_structures import insertion_device
from PyQt5.QtGui import QPalette, QColor, QFont
from PyQt5.QtWidgets import QMessageBox, QApplication
from PyQt5.QtCore import QRect
from orangewidget import gui
from orangewidget import widget
from orangewidget.settings import Setting
from oasys.widgets.widget import OWWidget
from oasys.widgets import gui as oasysgui
from oasys.widgets import congruence
from oasys.widgets.gui import ConfirmDialog
from syned.storage_ring.light_source import LightSource, ElectronBeam
from syned.beamline.beamline import Beamline
from oasys.widgets.gui import ConfirmDialog
import orangecanvas.resources as resources
m2ev = codata.c * codata.h / codata.e
VERTICAL = 1
HORIZONTAL = 2
BOTH = 3
class OWEBS(OWWidget):
name = "ESRF-EBS ID Light Source"
description = "Syned: ESRF-EBS ID Light Source"
icon = "icons/ebs.png"
priority = 1
maintainer = "Manuel Sanchez del Rio"
maintainer_email = "srio(@at@)esrf.eu"
category = "ESRF-EBS Syned Light Sources"
keywords = ["data", "file", "load", "read"]
outputs = [{"name":"SynedData",
"type":Beamline,
"doc":"Syned Beamline",
"id":"data"}]
want_main_area = 1
MAX_WIDTH = 1320
MAX_HEIGHT = 700
IMAGE_WIDTH = 860
IMAGE_HEIGHT = 645
CONTROL_AREA_WIDTH = 405
TABS_AREA_HEIGHT = 650
TABS_AREA_HEIGHT = 625
CONTROL_AREA_WIDTH = 450
electron_energy_in_GeV = Setting(6.0)
electron_energy_spread = Setting(0.001)
ring_current = Setting(0.2)
number_of_bunches = Setting(0.0)
moment_xx = Setting(0.0)
moment_xxp = Setting(0.0)
moment_xpxp = Setting(0.0)
moment_yy = Setting(0.0)
moment_yyp = Setting(0.0)
moment_ypyp = Setting(0.0)
electron_beam_size_h = Setting(0.0)
electron_beam_divergence_h = Setting(0.0)
electron_beam_size_v = Setting(0.0)
electron_beam_divergence_v = Setting(0.0)
electron_beam_emittance_h = Setting(0.0)
electron_beam_emittance_v = Setting(0.0)
electron_beam_beta_h = Setting(0.0)
electron_beam_beta_v = Setting(0.0)
electron_beam_alpha_h = Setting(0.0)
electron_beam_alpha_v = Setting(0.0)
electron_beam_eta_h = Setting(0.0)
electron_beam_eta_v = Setting(0.0)
electron_beam_etap_h = Setting(0.0)
electron_beam_etap_v = Setting(0.0)
type_of_properties = Setting(1)
auto_energy = Setting(0.0)
auto_harmonic_number = Setting(1)
K_horizontal = Setting(0.5)
K_vertical = Setting(0.5)
period_length = Setting(0.018)
number_of_periods = Setting(10)
ebs_id_index = Setting(0)
gap_mm = Setting(0.0)
gap_min = Setting(5.0)
gap_max = Setting(30.0)
harmonic_max = Setting(3)
a0 = Setting('2.083')
a1 = Setting('1.0054')
a2 = Setting('')
a3 = Setting('')
a4 = Setting('')
a5 = Setting('')
a6 = Setting('')
# data_url = 'ftp://ftp.esrf.eu/pub/scisoft/syned/resources/jsrund.csv'
# create it in nice with the ID app: /segfs/tango/bin/jsrund
data_url = os.path.join(resources.package_dirname("orangecontrib.esrf.syned.data"), 'jsrund.csv')
data_dict = None
def __init__(self):
self.get_data_dictionary_csv()
# OLD FORMAT
# self.data_url = "https://raw.githubusercontent.com/srio/shadow3-scripts/master/ESRF-LIGHTSOURCES-EBS/ebs_ids.json"
# self.get_data_dictionary()
self.runaction = widget.OWAction("Send Data", self)
self.runaction.triggered.connect(self.send_data)
self.addAction(self.runaction)
button_box = oasysgui.widgetBox(self.controlArea, "", addSpace=False, orientation="horizontal")
button = gui.button(button_box, self, "Send Data", callback=self.send_data)
font = QFont(button.font())
font.setBold(True)
button.setFont(font)
palette = QPalette(button.palette()) # make a copy of the palette
palette.setColor(QPalette.ButtonText, QColor('Dark Blue'))
button.setPalette(palette) # assign new palette
button.setFixedHeight(45)
button = gui.button(button_box, self, "Reset Fields", callback=self.callResetSettings)
font = QFont(button.font())
font.setItalic(True)
button.setFont(font)
palette = QPalette(button.palette()) # make a copy of the palette
palette.setColor(QPalette.ButtonText, QColor('Dark Red'))
button.setPalette(palette) # assign new palette
button.setFixedHeight(45)
button.setFixedWidth(150)
gui.separator(self.controlArea)
geom = QApplication.desktop().availableGeometry()
self.setGeometry(QRect(round(geom.width()*0.05),
round(geom.height()*0.05),
round(min(geom.width()*0.98, self.MAX_WIDTH)),
round(min(geom.height()*0.95, self.MAX_HEIGHT))))
self.setMaximumHeight(self.geometry().height())
self.setMaximumWidth(self.geometry().width())
self.controlArea.setFixedWidth(self.CONTROL_AREA_WIDTH)
self.tabs_setting = oasysgui.tabWidget(self.controlArea)
self.tabs_setting.setFixedHeight(self.TABS_AREA_HEIGHT)
self.tabs_setting.setFixedWidth(self.CONTROL_AREA_WIDTH-5)
self.tab_sou = oasysgui.createTabPage(self.tabs_setting, "Light Source Setting")
gui.comboBox(self.tab_sou, self, "ebs_id_index", label="Load ID parameters from database list: ", labelWidth=350,
items=self.get_id_list(), callback=self.set_id, sendSelectedValue=False, orientation="horizontal")
self.electron_beam_box = oasysgui.widgetBox(self.tab_sou, "Electron Beam/Machine Parameters", addSpace=False, orientation="vertical")
oasysgui.lineEdit(self.electron_beam_box, self, "electron_energy_in_GeV", "Energy [GeV]", labelWidth=260, valueType=float, orientation="horizontal", callback=self.update)
oasysgui.lineEdit(self.electron_beam_box, self, "electron_energy_spread", "Energy Spread", labelWidth=260, valueType=float, orientation="horizontal", callback=self.update)
oasysgui.lineEdit(self.electron_beam_box, self, "ring_current", "Ring Current [A]", labelWidth=260, valueType=float, orientation="horizontal", callback=self.update)
gui.comboBox(self.electron_beam_box, self, "type_of_properties", label="Electron Beam Properties", labelWidth=350,
items=["From 2nd Moments", "From Size/Divergence", "From Twiss papameters","Zero emittance", "EBS (S28D)"],
callback=self.update_electron_beam,
sendSelectedValue=False, orientation="horizontal")
self.left_box_2_1 = oasysgui.widgetBox(self.electron_beam_box, "", addSpace=False, orientation="vertical", height=150)
oasysgui.lineEdit(self.left_box_2_1, self, "moment_xx", "<x x> [m^2]", labelWidth=260, valueType=float, orientation="horizontal", callback=self.update)
oasysgui.lineEdit(self.left_box_2_1, self, "moment_xxp", "<x x'> [m.rad]", labelWidth=260, valueType=float, orientation="horizontal", callback=self.update)
oasysgui.lineEdit(self.left_box_2_1, self, "moment_xpxp", "<x' x'> [rad^2]", labelWidth=260, valueType=float, orientation="horizontal", callback=self.update)
oasysgui.lineEdit(self.left_box_2_1, self, "moment_yy", "<y y> [m^2]", labelWidth=260, valueType=float, orientation="horizontal", callback=self.update)
oasysgui.lineEdit(self.left_box_2_1, self, "moment_yyp", "<y y'> [m.rad]", labelWidth=260, valueType=float, orientation="horizontal", callback=self.update)
oasysgui.lineEdit(self.left_box_2_1, self, "moment_ypyp", "<y' y'> [rad^2]", labelWidth=260, valueType=float, orientation="horizontal", callback=self.update)
self.left_box_2_2 = oasysgui.widgetBox(self.electron_beam_box, "", addSpace=False, orientation="vertical", height=150)
oasysgui.lineEdit(self.left_box_2_2, self, "electron_beam_size_h", "Horizontal Beam Size \u03c3x [m]", labelWidth=260, valueType=float, orientation="horizontal", callback=self.update)
oasysgui.lineEdit(self.left_box_2_2, self, "electron_beam_size_v", "Vertical Beam Size \u03c3y [m]", labelWidth=260, valueType=float, orientation="horizontal", callback=self.update)
oasysgui.lineEdit(self.left_box_2_2, self, "electron_beam_divergence_h", "Horizontal Beam Divergence \u03c3'x [rad]", labelWidth=260, valueType=float, orientation="horizontal", callback=self.update)
oasysgui.lineEdit(self.left_box_2_2, self, "electron_beam_divergence_v", "Vertical Beam Divergence \u03c3'y [rad]", labelWidth=260, valueType=float, orientation="horizontal", callback=self.update)
self.left_box_2_3 = oasysgui.widgetBox(self.electron_beam_box, "", addSpace=False, orientation="horizontal",height=150)
self.left_box_2_3_l = oasysgui.widgetBox(self.left_box_2_3, "", addSpace=False, orientation="vertical")
self.left_box_2_3_r = oasysgui.widgetBox(self.left_box_2_3, "", addSpace=False, orientation="vertical")
oasysgui.lineEdit(self.left_box_2_3_l, self, "electron_beam_emittance_h", "\u03B5x [m.rad]",labelWidth=75, valueType=float, orientation="horizontal", callback=self.update)
oasysgui.lineEdit(self.left_box_2_3_l, self, "electron_beam_alpha_h", "\u03B1x", labelWidth=75, valueType=float, orientation="horizontal", callback=self.update)
oasysgui.lineEdit(self.left_box_2_3_l, self, "electron_beam_beta_h", "\u03B2x [m]", labelWidth=75, valueType=float, orientation="horizontal", callback=self.update)
oasysgui.lineEdit(self.left_box_2_3_l, self, "electron_beam_eta_h", "\u03B7x", labelWidth=75, valueType=float, orientation="horizontal", callback=self.update)
oasysgui.lineEdit(self.left_box_2_3_l, self, "electron_beam_etap_h", "\u03B7'x", labelWidth=75, valueType=float, orientation="horizontal", callback=self.update)
oasysgui.lineEdit(self.left_box_2_3_r, self, "electron_beam_emittance_v", "\u03B5y [m.rad]",labelWidth=75, valueType=float, orientation="horizontal", callback=self.update)
oasysgui.lineEdit(self.left_box_2_3_r, self, "electron_beam_alpha_v", "\u03B1y", labelWidth=75, valueType=float, orientation="horizontal", callback=self.update)
oasysgui.lineEdit(self.left_box_2_3_r, self, "electron_beam_beta_v", "\u03B2y [m]", labelWidth=75, valueType=float, orientation="horizontal", callback=self.update)
oasysgui.lineEdit(self.left_box_2_3_r, self, "electron_beam_eta_v", "\u03B7y", labelWidth=75, valueType=float, orientation="horizontal", callback=self.update)
oasysgui.lineEdit(self.left_box_2_3_r, self, "electron_beam_etap_v", "\u03B7'y", labelWidth=75, valueType=float, orientation="horizontal", callback=self.update)
gui.rubber(self.controlArea)
###################
left_box_1 = oasysgui.widgetBox(self.tab_sou, "ID Parameters", addSpace=True, orientation="vertical")
oasysgui.lineEdit(left_box_1, self, "period_length", "Period Length [m]", labelWidth=260,
valueType=float, orientation="horizontal", callback=self.update)
oasysgui.lineEdit(left_box_1, self, "number_of_periods", "Number of Periods", labelWidth=260,
valueType=float, orientation="horizontal", callback=self.update)
left_box_1 = oasysgui.widgetBox(self.tab_sou, "Setting", addSpace=True, orientation="vertical")
# oasysgui.lineEdit(left_box_1, self, "K_horizontal", "Horizontal K", labelWidth=260, valueType=float, orientation="horizontal")
oasysgui.lineEdit(left_box_1, self, "K_vertical", "Vertical K", labelWidth=260,
valueType=float, orientation="horizontal", callback=self.set_K)
oasysgui.lineEdit(left_box_1, self, "gap_mm", "Undulator Gap [mm]",
labelWidth=250, valueType=float, orientation="horizontal",
callback=self.set_gap)
left_box_2 = oasysgui.widgetBox(left_box_1, "", addSpace=False, orientation="vertical")
oasysgui.lineEdit(left_box_2, self, "auto_energy", "Photon Energy [eV]",
labelWidth=250, valueType=float, orientation="horizontal",
callback=self.auto_set_undulator_V)
oasysgui.lineEdit(left_box_2, self, "auto_harmonic_number", "Harmonic",
labelWidth=250, valueType=int, orientation="horizontal",
callback=self.auto_set_undulator_V)
####################################################
tab_util = oasysgui.createTabPage(self.tabs_setting, "Settings")
left_box_0 = oasysgui.widgetBox(tab_util, "Advanced settings",
addSpace=False, orientation="vertical", height=450)
oasysgui.lineEdit(left_box_0, self, "gap_min", "minimum gap",
labelWidth=260, valueType=float, orientation="horizontal",
callback=self.update)
oasysgui.lineEdit(left_box_0, self, "gap_max", "maximum gap (for plots)",
labelWidth=260, valueType=float, orientation="horizontal",
callback=self.update)
oasysgui.lineEdit(left_box_0, self, "harmonic_max", "maximum harmonic (for plots)",
labelWidth=260, valueType=int, orientation="horizontal",
callback=self.update)
left_box_00 = oasysgui.widgetBox(left_box_0, "Gap parametrization", addSpace=False, orientation="vertical")
oasysgui.lineEdit(left_box_00, self, "a0", "a0", labelWidth=260, valueType=str, orientation="horizontal", callback=self.set_K)
oasysgui.lineEdit(left_box_00, self, "a1", "a1", labelWidth=260, valueType=str, orientation="horizontal", callback=self.set_K)
oasysgui.lineEdit(left_box_00, self, "a2", "a2", labelWidth=260, valueType=str, orientation="horizontal", callback=self.set_K)
oasysgui.lineEdit(left_box_00, self, "a3", "a3", labelWidth=260, valueType=str, orientation="horizontal", callback=self.set_K)
oasysgui.lineEdit(left_box_00, self, "a4", "a4", labelWidth=260, valueType=str, orientation="horizontal", callback=self.set_K)
oasysgui.lineEdit(left_box_00, self, "a5", "a5", labelWidth=260, valueType=str, orientation="horizontal", callback=self.set_K)
oasysgui.lineEdit(left_box_00, self, "a6", "a6", labelWidth=260, valueType=str, orientation="horizontal", callback=self.set_K)
self.initializeTabs()
# self.populate_gap_parametrization()
# self.populate_electron_beam()
# self.populate_magnetic_structure()
# self.set_ebs_electron_beam()
self.populate_settings_after_setting_K()
self.set_visible()
self.update()
def get_id_list(self):
out_list = [("ID%02d %s" % (self.data_dict["straight_section"][i], self.data_dict["id_name"][i])) for i in
range(len(self.data_dict["id_name"]))]
out_list.insert(0,"<None>") # We add None at the beginning: ebs_id_index is the dict index plus one
return out_list
def titles(self):
return ["K vs Gap", "B vs Gap", "Gap vs resonance energy", "Power vs Gap", "Power density peak at 30 m vs Gap"]
def xtitles(self):
return ['Gap [mm]'] * len(self.titles())
def ytitles(self):
return ['K', 'B [T]', 'Photon energy [eV]', 'Power [W]', 'Power density peak @ 30 m [W/mm$^2$]']
def initializeTabs(self):
self.tabs = oasysgui.tabWidget(self.mainArea)
self.tab = [oasysgui.createTabPage(self.tabs, "Info",),
oasysgui.createTabPage(self.tabs, "K vs Gap"),
oasysgui.createTabPage(self.tabs, "B vs Gap"),
oasysgui.createTabPage(self.tabs, "Resonance vs Gap"),
oasysgui.createTabPage(self.tabs, "Power vs Gap"),
oasysgui.createTabPage(self.tabs, "Pow_dens_peak vs Gap"),
]
for tab in self.tab:
tab.setFixedHeight(self.IMAGE_HEIGHT)
tab.setFixedWidth(self.IMAGE_WIDTH)
self.info_id = oasysgui.textArea(height=self.IMAGE_HEIGHT-5, width=self.IMAGE_WIDTH-5)
profile_box = oasysgui.widgetBox(self.tab[0], "", addSpace=True, orientation="horizontal",
height = self.IMAGE_HEIGHT, width=self.IMAGE_WIDTH-5)
profile_box.layout().addWidget(self.info_id)
n_plots = len(self.titles())
self.plot_canvas = [None] * (1 + n_plots)
for i in range(n_plots):
self.plot_canvas[i] = oasysgui.plotWindow(roi=False, control=False, position=True)
self.plot_canvas[i].setDefaultPlotLines(True)
self.plot_canvas[i].setActiveCurveColor(color='blue')
self.plot_canvas[i].setGraphXLabel(self.xtitles()[i])
self.plot_canvas[i].setGraphYLabel(self.ytitles()[i])
self.plot_canvas[i].setGraphTitle(self.titles()[i])
self.plot_canvas[i].setInteractiveMode(mode='zoom')
for index in range(0, 5):
self.tab[index + 1].layout().addWidget(self.plot_canvas[index])
self.tabs.setCurrentIndex(1)
def check_magnetic_structure(self):
congruence.checkPositiveNumber(self.K_horizontal, "Horizontal K")
congruence.checkPositiveNumber(self.K_vertical, "Vertical K")
congruence.checkStrictlyPositiveNumber(self.period_length, "Period Length")
congruence.checkStrictlyPositiveNumber(self.number_of_periods, "Number of Periods")
def get_magnetic_structure(self):
return insertion_device.InsertionDevice(K_horizontal=self.K_horizontal,
K_vertical=self.K_vertical,
period_length=self.period_length,
number_of_periods=self.number_of_periods)
def set_ebs_electron_beam(self):
self.type_of_properties = 1
self.electron_beam_size_h = 30.1836e-6
self.electron_beam_size_v = 3.63641e-6
self.electron_beam_divergence_h = 4.36821e-6
self.electron_beam_divergence_v = 1.37498e-6
#
eb = self.get_light_source().get_electron_beam()
moment_xx, moment_xxp, moment_xpxp, moment_yy, moment_yyp, moment_ypyp = eb.get_moments_all()
self.moment_xx = moment_xx
self.moment_yy = moment_yy
self.moment_xxp = moment_xxp
self.moment_yyp = moment_yyp
self.moment_xpxp = moment_xpxp
self.moment_ypyp = moment_ypyp
ex, ax, bx, ey, ay, by = eb.get_twiss_no_dispersion_all()
self.electron_beam_beta_h = bx
self.electron_beam_beta_v = by
self.electron_beam_alpha_h = ax
self.electron_beam_alpha_v = ay
self.electron_beam_eta_h = ex
self.electron_beam_eta_v = ey
self.electron_beam_etap_h = 0.0
self.electron_beam_etap_v = 0.0
self.electron_beam_emittance_h = 1.3166e-10
self.electron_beam_emittance_v = 5e-12
def update_electron_beam(self):
if self.type_of_properties == 4:
self.set_ebs_electron_beam()
self.set_visible()
self.update()
def update(self):
self.check_data()
self.update_info()
self.update_plots()
def update_info(self):
syned_light_source = self.get_light_source()
syned_electron_beam = syned_light_source.get_electron_beam()
syned_undulator = syned_light_source.get_magnetic_structure()
gamma = self.gamma()
if self.ebs_id_index == 0:
id = "<None>"
else:
id = "ID%02d %s" % (self.data_dict["straight_section"][self.ebs_id_index-1], self.data_dict["id_name"][self.ebs_id_index-1])
info_parameters = {
"electron_energy_in_GeV":self.electron_energy_in_GeV,
"gamma":"%8.3f"%self.gamma(),
"ring_current":"%4.3f "%syned_electron_beam.current(),
"K_horizontal":syned_undulator.K_horizontal(),
"K_vertical": syned_undulator.K_vertical(),
"period_length": syned_undulator.period_length(),
"number_of_periods": syned_undulator.number_of_periods(),
"undulator_length": syned_undulator.length(),
"resonance_energy":"%6.3f"%syned_undulator.resonance_energy(gamma,harmonic=1),
"resonance_energy3": "%6.3f" % syned_undulator.resonance_energy(gamma,harmonic=3),
"resonance_energy5": "%6.3f" % syned_undulator.resonance_energy(gamma,harmonic=5),
"B_horizontal":"%4.2F"%syned_undulator.magnetic_field_horizontal(),
"B_vertical": "%4.2F" % syned_undulator.magnetic_field_vertical(),
"cc_1": "%4.2f" % (1e6*syned_undulator.gaussian_central_cone_aperture(gamma,1)),
"cc_3": "%4.2f" % (1e6*syned_undulator.gaussian_central_cone_aperture(gamma,3)),
"cc_5": "%4.2f" % (1e6*syned_undulator.gaussian_central_cone_aperture(gamma,5)),
# "cc_7": "%4.2f" % (self.gaussian_central_cone_aperture(7)*1e6),
"sigma_rad": "%5.2f" % (1e6*syned_undulator.get_sigmas_radiation(gamma,harmonic=1)[0]),
"sigma_rad_prime": "%5.2f" % (1e6*syned_undulator.get_sigmas_radiation(gamma,harmonic=1)[1]),
"sigma_rad3": "%5.2f" % (1e6*syned_undulator.get_sigmas_radiation(gamma,harmonic=3)[0]),
"sigma_rad_prime3": "%5.2f" % (1e6*syned_undulator.get_sigmas_radiation(gamma,harmonic=3)[1]),
"sigma_rad5": "%5.2f" % (1e6 * syned_undulator.get_sigmas_radiation(gamma, harmonic=5)[0]),
"sigma_rad_prime5": "%5.2f" % (1e6 * syned_undulator.get_sigmas_radiation(gamma, harmonic=5)[1]),
"first_ring_1": "%5.2f" % (1e6*syned_undulator.get_resonance_ring(gamma, harmonic=1, ring_order=1)),
"first_ring_3": "%5.2f" % (1e6*syned_undulator.get_resonance_ring(gamma, harmonic=3, ring_order=1)),
"first_ring_5": "%5.2f" % (1e6*syned_undulator.get_resonance_ring(gamma, harmonic=5, ring_order=1)),
"Sx": "%5.2f" % (1e6*syned_undulator.get_photon_sizes_and_divergences(syned_electron_beam)[0]),
"Sy": "%5.2f" % (1e6*syned_undulator.get_photon_sizes_and_divergences(syned_electron_beam)[1]),
"Sxp": "%5.2f" % (1e6*syned_undulator.get_photon_sizes_and_divergences(syned_electron_beam)[2]),
"Syp": "%5.2f" % (1e6*syned_undulator.get_photon_sizes_and_divergences(syned_electron_beam)[3]),
"und_power": "%5.2f" % syned_undulator.undulator_full_emitted_power(gamma,syned_electron_beam.current()),
"CF_h": "%4.3f" % syned_undulator.approximated_coherent_fraction_horizontal(syned_electron_beam,harmonic=1),
"CF_v": "%4.3f" % syned_undulator.approximated_coherent_fraction_vertical(syned_electron_beam,harmonic=1),
"CF": "%4.3f" % syned_undulator.approximated_coherent_fraction(syned_electron_beam,harmonic=1),
"url": self.data_url,
"id": id,
"gap": "%4.3f" % self.calculate_gap_from_K(),
"a0": "%s" % str(self.a0),
"a1": "%s" % str(self.a1),
"a2": "%s" % str(self.a2),
"a3": "%s" % str(self.a3),
"a4": "%s" % str(self.a4),
"a5": "%s" % str(self.a5),
"a6": "%s" % str(self.a6),
}
self.info_id.setText(self.info_template().format_map(info_parameters))
# self.tabs[0].setText(self.info_template().format_map(info_parameters))
def info_template(self):
return \
"""
data url: {url}
id_name: {id}
================ input parameters ===========
Electron beam energy [GeV]: {electron_energy_in_GeV}
Electron current: {ring_current}
Period Length [m]: {period_length}
Number of Periods: {number_of_periods}
Horizontal K: {K_horizontal}
Vertical K: {K_vertical}
==============================================
Electron beam gamma: {gamma}
Undulator Length [m]: {undulator_length}
Horizontal Peak Magnetic field [T]: {B_horizontal}
Vertical Peak Magnetic field [T]: {B_vertical}
Total power radiated by the undulator [W]: {und_power}
Gap in use: {gap} mm
Using gap parametrization:
a0: {a0}
a1: {a1}
a2: {a2}
a3: {a3}
a4: {a4}
a5: {a5}
a6: {a6}
Note on calculation:
A = [a0,a1,a2,...] = [B_1, B_2,..., alpha_1, alpha_2,...]
Bmax = Sum[B_i * exp( -pi * alpha_i * (gap[mm] / id_period[mm]) )] with i from 1 to the semilength of A.
Resonances:
Photon energy [eV]:
for harmonic 1 : {resonance_energy}
for harmonic 3 : {resonance_energy3}
for harmonic 5 : {resonance_energy5}
Central cone (RMS urad):
for harmonic 1 : {cc_1}
for harmonic 3 : {cc_3}
for harmonic 5 : {cc_5}
First ring at (urad):
for harmonic 1 : {first_ring_1}
for harmonic 3 : {first_ring_3}
for harmonic 5 : {first_ring_5}
Sizes and divergences of radiation :
at 1st harmonic: sigma: {sigma_rad} um, sigma': {sigma_rad_prime} urad
at 3rd harmonic: sigma: {sigma_rad3} um, sigma': {sigma_rad_prime3} urad
at 5th harmonic: sigma: {sigma_rad5} um, sigma': {sigma_rad_prime5} urad
Sizes and divergences of photon source (convolution) at resonance (1st harmonic): :
Sx: {Sx} um
Sy: {Sy} um,
Sx': {Sxp} urad
Sy': {Syp} urad
Approximated coherent fraction at 1st harmonic:
Horizontal: {CF_h}
Vertical: {CF_v}
Coherent fraction 2D (HxV): {CF}
"""
def get_magnetic_structure(self):
return Undulator(K_horizontal=self.K_horizontal,
K_vertical=self.K_vertical,
period_length=self.period_length,
number_of_periods=self.number_of_periods)
def check_magnetic_structure_instance(self, magnetic_structure):
if not isinstance(magnetic_structure, Undulator):
raise ValueError("Magnetic Structure is not a Undulator")
def populate_magnetic_structure(self):
# if magnetic_structure is None:
index = self.ebs_id_index - 1
self.K_horizontal = 0.0
self.K_vertical = numpy.round(self.data_dict["Kmax"][index],4)
self.period_length = numpy.round(self.data_dict["id_period"][index],4)
self.number_of_periods = numpy.round(self.data_dict["id_length"][index] / self.period_length,3)
def populate_gap_parametrization(self):
index = self.ebs_id_index - 1
if self.data_dict["a0"][index] is None:
self.a0 = ''
else:
self.a0 = self.data_dict["a0"][index]
if self.data_dict["a1"][index] is None:
self.a1 = ''
else:
self.a1 = self.data_dict["a1"][index]
if self.data_dict["a2"][index] is None:
self.a2 = ''
else:
self.a2 = self.data_dict["a2"][index]
if self.data_dict["a3"][index] is None:
self.a3 = ''
else:
self.a3 = self.data_dict["a3"][index]
if self.data_dict["a4"][index] is None:
self.a4 = ''
else:
self.a4 = self.data_dict["a4"][index]
if self.data_dict["a5"][index] is None:
self.a5 = ''
else:
self.a5= self.data_dict["a5"][index]
if self.data_dict["a6"][index] is None:
self.a6 = ''
else:
self.a6 = self.data_dict["a6"][index]
# self.a0 = self.data_dict["a0"][index]
# self.a1 = self.data_dict["a1"][index]
# self.a2 = self.data_dict["a2"][index]
# self.a3 = self.data_dict["a3"][index]
# self.a4 = self.data_dict["a4"][index]
# self.a5 = self.data_dict["a5"][index]
# self.a6 = self.data_dict["a6"][index]
def populate_settings_after_setting_K(self):
syned_undulator = self.get_light_source().get_magnetic_structure()
self.auto_energy = numpy.round(syned_undulator.resonance_energy(self.gamma(),
harmonic=self.auto_harmonic_number),3)
self.gap_mm = numpy.round(self.calculate_gap_from_K(), 3)
def set_gap(self, which=VERTICAL):
if self.gap_mm < self.gap_min:
if ConfirmDialog.confirmed(self, message="Gap is smaller than minimum. Set to minimum?"):
self.gap_mm = self.gap_min
if self.gap_mm > self.gap_max:
if ConfirmDialog.confirmed(self, message="Gap is larger than maximum. Set to maximum?"):
self.gap_mm = self.gap_max
if self.gap_mm < self.gap_min:
raise Exception("Gap is smaller than minimum")
if self.gap_mm > self.gap_max:
raise Exception("Gap is larger than maximum")
K = numpy.round(self.calculate_K_from_gap(), 3)
if which == VERTICAL:
self.K_vertical = K
self.K_horizontal = 0.0
if which == BOTH:
Kboth = round(K / numpy.sqrt(2), 6)
self.K_vertical = Kboth
self.K_horizontal = Kboth
if which == HORIZONTAL:
self.K_horizontal = K
self.K_vertical = 0.0
self.populate_settings_after_setting_K()
self.update()
def set_id(self):
if self.ebs_id_index !=0:
self.populate_gap_parametrization()
self.populate_magnetic_structure()
self.gap_min = self.data_dict["id_minimum_gap_mm"][self.ebs_id_index-1]
self.populate_settings_after_setting_K()
self.update()
def set_K(self):
self.populate_settings_after_setting_K()
self.update()
def auto_set_undulator_V(self):
self.set_resonance_energy(VERTICAL)
def auto_set_undulator_H(self):
self.set_resonance_energy(HORIZONTAL)
def auto_set_undulator_B(self):
self.set_resonance_energy(BOTH)
def set_resonance_energy(self, which=VERTICAL):
congruence.checkStrictlyPositiveNumber(self.auto_energy, "Set Undulator at Energy")
congruence.checkStrictlyPositiveNumber(self.auto_harmonic_number, "As Harmonic #")
congruence.checkStrictlyPositiveNumber(self.electron_energy_in_GeV, "Energy")
congruence.checkStrictlyPositiveNumber(self.period_length, "Period Length")
wavelength = self.auto_harmonic_number*m2ev/self.auto_energy
K = round(numpy.sqrt(2*(((wavelength*2*self.gamma()**2)/self.period_length)-1)), 6)
Kmax = self.calculate_K_from_gap(self.gap_min)
Kmin = self.calculate_K_from_gap(self.gap_max)
if numpy.isnan(K):
if ConfirmDialog.confirmed(self, message="Impossible configuration. Set to Kmin=%f?" % (Kmin)):
K = numpy.round(Kmin,4)
if (K > Kmax):
if ConfirmDialog.confirmed(self, message="Needed K (%f) > Kmax (%f). Reset to Kmax?" % (K, Kmax)):
K = numpy.round(Kmax,4)
if (K < Kmin):
if ConfirmDialog.confirmed(self, message="Needed K (%f) < Kmin (%f). Reset to Kmin?" % (K, Kmin)):
K = numpy.round(Kmin,4)
if which == VERTICAL:
self.K_vertical = K
self.K_horizontal = 0.0
if which == BOTH:
Kboth = round(K / numpy.sqrt(2), 6)
self.K_vertical = Kboth
self.K_horizontal = Kboth
if which == HORIZONTAL:
self.K_horizontal = K
self.K_vertical = 0.0
self.populate_settings_after_setting_K()
self.update()
def plot_graph(self, plot_canvas_index, curve_name, x_values, y_values, xtitle="", ytitle="",
color='blue', replace=True):
self.plot_canvas[plot_canvas_index].addCurve(x_values, y_values, curve_name, symbol='', color=color, replace=replace) #'+', '^', ','
self.plot_canvas[plot_canvas_index].setGraphXLabel(xtitle)
self.plot_canvas[plot_canvas_index].setGraphYLabel(ytitle)
self.plot_canvas[plot_canvas_index].replot()
def update_plots(self):
gap_mm = numpy.linspace(self.gap_min * 0.9, self.gap_max * 1.1, 1000)
Karray = self.calculate_K_from_gap(gap_mm)
Karray_horizontal = numpy.zeros_like(Karray)
Bfield = Karray / (self.period_length * codata.e / (2 * numpy.pi * codata.m_e * codata.c))
E1_array = self.calculate_resonance_energy(Karray)
ptot = (self.number_of_periods /6) * codata.value('characteristic impedance of vacuum') * \
self.ring_current * codata.e * 2 * numpy.pi * codata.c * self.gamma()**2 * \
(Karray**2 + Karray_horizontal**2) / self.period_length
### power density peak at 30 m, not yet implemented for helical undulators ###
dist_to_source = 30
### From: Undulators, Wigglers and their Applications - H. Onuki & P Elleaume ###
### Chapter 3: Undulator radiation eqs. 68 and 69 ###
g_k = Karray * ((Karray**6) + (24/7)*(Karray**4) + 4*(Karray**2) + (16/7))/((1 + (Karray**2))**(7/2))
p_dens_peak = ((21 * (self.gamma()**2)) / (16 * numpy.pi * Karray) * ptot * g_k)/((dist_to_source * 1e3)**2)
self.plot_graph(0, self.titles()[0], gap_mm, Karray, xtitle=self.xtitles()[0], ytitle=self.ytitles()[0])
self.plot_graph(1, self.titles()[1], gap_mm, Bfield, xtitle=self.xtitles()[1], ytitle=self.ytitles()[1])
#
#
#
xtitle = "Photon energy [keV]"
ytitle = "Gap [mm]"
colors = ['green', 'black', 'red', 'brown', 'orange', 'pink'] * self.harmonic_max
for i in range(1, self.harmonic_max+1):
self.plot_canvas[2].addCurve(E1_array * i* 1e-3, gap_mm,
"harmonic %d" % i,
xlabel=xtitle, ylabel=ytitle,
symbol='', color=colors[i-1])
self.plot_canvas[2].getLegendsDockWidget().setFixedHeight(150)
self.plot_canvas[2].getLegendsDockWidget().setVisible(True)
self.plot_canvas[2].setActiveCurve("harmonic 1")
self.plot_canvas[2].replot()
#
#
#
self.plot_graph(3, self.titles()[3], gap_mm, ptot, xtitle=self.xtitles()[3], ytitle=self.ytitles()[3])
self.plot_graph(4, self.titles()[4], gap_mm, p_dens_peak, xtitle=self.xtitles()[4], ytitle=self.ytitles()[4])
def calculate_resonance_energy(self, Karray):
theta_x = 0.0
theta_z = 0.0
K_vertical = Karray
K_horizontal = numpy.zeros_like(K_vertical)
wavelength = (self.period_length / (2.0 * self.gamma() ** 2)) * \
(1 + K_vertical ** 2 / 2.0 + K_horizontal ** 2 / 2.0 + \
self.gamma() ** 2 * (theta_x ** 2 + theta_z ** 2))
wavelength /= self.auto_harmonic_number
frequency = codata.c / wavelength * self.auto_harmonic_number
energy_in_ev = codata.h * frequency / codata.e
return energy_in_ev * self.auto_harmonic_number
def calculate_K_from_gap(self, gap_mm=None):
if gap_mm is None: gap_mm = self.gap_mm
id_period_mm = self.period_length * 1e3
id_name = self.get_id_list()[self.ebs_id_index]
try:
a0 = float(self.a0)
except:
a0 = None
try:
a1 = float(self.a1)
except:
a1 = None
try:
a2 = float(self.a2)
except:
a2 = None
try:
a3 = float(self.a3)
except:
a3 = None
try:
a4 = float(self.a4)
except:
a4 = None
try:
a5 = float(self.a5)
except:
a5 = None
try:
a6 = float(self.a6)
except:
a6 = None
Bmax = self.calculate_B_from_gap_and_A_vector(
gap_mm, id_period_mm, id_name,
a0=a0, a1=a1, a2=a2, a3=a3, a4=a4, a5=a5, a6=a6)
Kmax = Bmax * (id_period_mm * 1e-3) * codata.e / (2 * numpy.pi * codata.m_e * codata.c)
return Kmax
def calculate_gap_from_K(self, Kvalue=None):
if Kvalue is None: Kvalue = self.K_vertical
gap_mm_array = numpy.linspace( self.gap_min * 0.9, self.gap_max * 1.1, 1000)
K_array = self.calculate_K_from_gap(gap_mm_array)
# if ((Kvalue < K_array.min()) or (Kvalue > K_array.max())):
# print("K: %g, gap_max: %g; K_array min:%g, max:%g" % (Kvalue, self.gap_max, K_array.min(), K_array.max()))
# raise Exception("Cannot interpolate...")
if Kvalue < K_array.min():
if ConfirmDialog.confirmed(self, message="K=%g is smaller than minimum=%g. Set to minimum?" % (Kvalue, K_array.min())):
Kvalue = K_array.min()
self.K_vertical = Kvalue
self.populate_settings_after_setting_K()
self.update()
if Kvalue > K_array.max():
if ConfirmDialog.confirmed(self, message="K=%g is larger than maximum=%g. Set to maximum?" % (Kvalue, K_array.max())):
Kvalue = K_array.max()
self.K_vertical = Kvalue
self.populate_settings_after_setting_K()
self.update()
gap_interpolated = numpy.interp(Kvalue, numpy.flip(K_array), numpy.flip(gap_mm_array))
return gap_interpolated
def gamma(self):
return 1e9*self.electron_energy_in_GeV / (codata.m_e * codata.c**2 / codata.e)
def set_visible(self):
self.left_box_2_1.setVisible(self.type_of_properties == 0)
self.left_box_2_2.setVisible(self.type_of_properties == 1)
self.left_box_2_3.setVisible(self.type_of_properties == 2)
def check_data(self):
congruence.checkStrictlyPositiveNumber(self.electron_energy_in_GeV , "Energy")
congruence.checkStrictlyPositiveNumber(self.electron_energy_spread, "Energy Spread")
congruence.checkStrictlyPositiveNumber(self.ring_current, "Ring Current")
if self.type_of_properties == 0:
congruence.checkPositiveNumber(self.moment_xx , "Moment xx")
congruence.checkPositiveNumber(self.moment_xpxp , "Moment xpxp")
congruence.checkPositiveNumber(self.moment_yy , "Moment yy")
congruence.checkPositiveNumber(self.moment_ypyp , "Moment ypyp")
elif self.type_of_properties == 1:
congruence.checkPositiveNumber(self.electron_beam_size_h , "Horizontal Beam Size")
congruence.checkPositiveNumber(self.electron_beam_divergence_h , "Vertical Beam Size")
congruence.checkPositiveNumber(self.electron_beam_size_v , "Horizontal Beam Divergence")
congruence.checkPositiveNumber(self.electron_beam_divergence_v , "Vertical Beam Divergence")
elif self.type_of_properties == 2:
congruence.checkPositiveNumber(self.electron_beam_emittance_h, "Horizontal Beam Emittance")
congruence.checkPositiveNumber(self.electron_beam_emittance_v, "Vertical Beam Emittance")
congruence.checkNumber(self.electron_beam_alpha_h, "Horizontal Beam Alpha")
congruence.checkNumber(self.electron_beam_alpha_v, "Vertical Beam Alpha")
congruence.checkNumber(self.electron_beam_beta_h, "Horizontal Beam Beta")
congruence.checkNumber(self.electron_beam_beta_v, "Vertical Beam Beta")
congruence.checkNumber(self.electron_beam_eta_h, "Horizontal Beam Dispersion Eta")
congruence.checkNumber(self.electron_beam_eta_v, "Vertical Beam Dispersion Eta")
congruence.checkNumber(self.electron_beam_etap_h, "Horizontal Beam Dispersion Eta'")
congruence.checkNumber(self.electron_beam_etap_v, "Vertical Beam Dispersion Eta'")
self.check_magnetic_structure()
def send_data(self):
try:
self.check_data()
self.send("SynedData", Beamline(light_source=self.get_light_source()))
except Exception as e:
QMessageBox.critical(self, "Error", str(e.args[0]), QMessageBox.Ok)
self.setStatusMessage("")
self.progressBarFinished()
def get_light_source(self):
electron_beam = ElectronBeam(energy_in_GeV=self.electron_energy_in_GeV,
energy_spread=self.electron_energy_spread,
current=self.ring_current,
number_of_bunches=self.number_of_bunches)
if self.type_of_properties == 0:
electron_beam.set_moments_horizontal(self.moment_xx,self.moment_xxp,self.moment_xpxp)
electron_beam.set_moments_vertical(self.moment_yy, self.moment_yyp, self.moment_ypyp)
elif self.type_of_properties == 1:
electron_beam.set_sigmas_all(sigma_x=self.electron_beam_size_h,
sigma_y=self.electron_beam_size_v,
sigma_xp=self.electron_beam_divergence_h,
sigma_yp=self.electron_beam_divergence_v)
elif self.type_of_properties == 2:
electron_beam.set_twiss_horizontal(self.electron_beam_emittance_h,
self.electron_beam_alpha_h,
self.electron_beam_beta_h,
self.electron_beam_eta_h,
self.electron_beam_etap_h)
electron_beam.set_twiss_vertical(self.electron_beam_emittance_v,
self.electron_beam_alpha_v,
self.electron_beam_beta_v,
self.electron_beam_eta_v,
self.electron_beam_etap_v)
elif self.type_of_properties == 3:
electron_beam.set_moments_all(0,0,0,0,0,0)
return LightSource(name=self.get_id_list()[self.ebs_id_index],
electron_beam = electron_beam,
magnetic_structure = self.get_magnetic_structure())
def callResetSettings(self):
if ConfirmDialog.confirmed(parent=self, message="Confirm Reset of the Fields?"):
try:
self.resetSettings()
except:
pass
def populate_electron_beam(self, electron_beam=None):
if electron_beam is None:
electron_beam = ElectronBeam(
energy_in_GeV = 6.0,
energy_spread = 0.001,
current = 0.2,
number_of_bunches = 1,
moment_xx = (3.01836e-05)**2,
moment_xxp = (0.0)**2,
moment_xpxp = (4.36821e-06)**2,
moment_yy = (3.63641e-06)**2,
moment_yyp = (0.0)**2,
moment_ypyp = (1.37498e-06)**2,
)
self.electron_energy_in_GeV = electron_beam._energy_in_GeV
self.electron_energy_spread = electron_beam._energy_spread
self.ring_current = electron_beam._current
self.number_of_bunches = electron_beam._number_of_bunches
self.type_of_properties = 1
self.moment_xx = electron_beam._moment_xx
self.moment_xxp = electron_beam._moment_xxp
self.moment_xpxp = electron_beam._moment_xpxp
self.moment_yy = electron_beam._moment_yy
self.moment_yyp = electron_beam._moment_yyp
self.moment_ypyp = electron_beam._moment_ypyp
x, xp, y, yp = electron_beam.get_sigmas_all()
self.electron_beam_size_h = x
self.electron_beam_size_v = y
self.electron_beam_divergence_h = xp
self.electron_beam_divergence_v = yp
def calculate_B_from_gap_and_A_vector(self, id_gap_mm, id_period_mm, id_name,
a0=None, a1=None, a2=None, a3=None, a4=None, a5=None, a6=None,
check_elliptical=True):
if check_elliptical:
if "HU" in id_name:
ConfirmDialog.confirmed(self, message="Helical/Apple undulators not implemented in this app (wrong results)")
if "CPMU" in id_name:
B = a0 * numpy.exp(-numpy.pi * a3 * 1 * id_gap_mm / id_period_mm)
B += a1 * numpy.exp(-numpy.pi * a4 * 2 * id_gap_mm / id_period_mm)
B += a2 * numpy.exp(-numpy.pi * a5 * 3 * id_gap_mm / id_period_mm)
elif "HU" in id_name: # this is for apple undulator... It is applied also (WRONG!) to helical undulators
reference_gap = 20.0
B = a0 * numpy.exp(-numpy.pi * (id_gap_mm - reference_gap) / id_period_mm)
else:
if (a2 is None) and (a3 is None): # only one "harmonic"
B = a0 * numpy.exp(-numpy.pi * a1 * id_gap_mm / id_period_mm)
else:
if (a4 is None) and (a5 is None): # 2 "harmonics"
B = a0 * numpy.exp(-numpy.pi * a2 * 1 * id_gap_mm / id_period_mm)
B += a1 * numpy.exp(-numpy.pi * a3 * 2 * id_gap_mm / id_period_mm)
else: # 3 harmonics
B = a0 * numpy.exp(-numpy.pi * a3 * 1 * id_gap_mm / id_period_mm)
B += a1 * numpy.exp(-numpy.pi * a4 * 2 * id_gap_mm / id_period_mm)
B += a2 * numpy.exp(-numpy.pi * a5 * 3 * id_gap_mm / id_period_mm)
return B
def get_data_dictionary_csv(self):
url = self.data_url
# tofloat = lambda s: numpy.array(['0.0' if v == '' else v for v in s]).astype(float)
tofloat = lambda s: [None if v == '' else float(v) for v in s]
try:
filename = url # 'ftp://ftp.esrf.eu/pub/scisoft/syned/resources/jsrund.csv'
ishift = 1
a = numpy.genfromtxt(filename, dtype=str, delimiter=',', skip_header=3, skip_footer=1, converters=None, \
missing_values={0: "11.000"}, filling_values={0: "XXX"}, usecols=None, names=None,
excludelist=None, \
deletechars=" !#$%&'()*+, -./:;<=>?@[\]^{|}~", replace_space='', autostrip=True, \
case_sensitive=True, defaultfmt='f%i', unpack=None, usemask=False, loose=True, \
invalid_raise=True, max_rows=None, encoding='bytes')
number_of_ids = len(a)
straight_section = a[:, 0].astype(int)
id_name = a[:, 1]
id_period = 1e-3 * a[:, 2 + ishift].astype(float)
id_period_mm = a[:, 2 + ishift].astype(float)
id_length = 1e-3 * a[:, 3 + ishift].astype(float)
id_minimum_gap_mm = tofloat(a[:, 4 + ishift])
for i in range(number_of_ids):
if id_minimum_gap_mm[i] is None:
id_minimum_gap_mm[i] = 30.0 # set to arbitrary value ** Some values are missing!!!**
a0 = tofloat(a[:, 5 + ishift])
a1 = tofloat(a[:, 6 + ishift])
a2 = tofloat(a[:, 7 + ishift])
a3 = tofloat(a[:, 8 + ishift])
a4 = tofloat(a[:, 9 + ishift])
a5 = tofloat(a[:, 10 + ishift])
a6 = tofloat(a[:, 11 + ishift])
Bmax = []
Kmax = []
for i in range(number_of_ids):
Bmax_i = self.calculate_B_from_gap_and_A_vector(
id_minimum_gap_mm[i], id_period_mm[i], id_name[i],
a0=a0[i], a1=a1[i], a2=a2[i], a3=a3[i], a4=a4[i], a5=a5[i], a6=a5[i],
check_elliptical=False)
Bmax.append(Bmax_i)
Kmax.append(Bmax_i * id_period[i] * codata.e / (2 * numpy.pi * codata.m_e * codata.c))
out_dict = {}
out_dict["straight_section"] = straight_section.tolist()
out_dict["id_name"] = id_name.tolist()
out_dict["id_minimum_gap_mm"] = id_minimum_gap_mm
out_dict["Bmax"] = Bmax
out_dict["Kmax"] = Kmax
out_dict["straight_section"] = straight_section.tolist()
out_dict["id_period"] = id_period.tolist()
out_dict["id_period_mm"] = id_period_mm.tolist()
out_dict["id_length"] = id_length.tolist()
out_dict["a0"] = a0
out_dict["a1"] = a1
out_dict["a2"] = a2
out_dict["a3"] = a3
out_dict["a4"] = a4
out_dict["a5"] = a5
out_dict["a6"] = a6
except:
out_dict = {}
out_dict["straight_section"] = []
out_dict["id_name"] = []
out_dict["id_minimum_gap_mm"] = []
out_dict["Bmax"] = []
out_dict["Kmax"] = []
out_dict["straight_section"] = []
out_dict["id_period"] = []
out_dict["id_period_mm"] = []
out_dict["id_length"] = []
out_dict["a0"] = []
out_dict["a1"] = []
out_dict["a2"] = []
out_dict["a3"] = []
out_dict["a4"] = []
out_dict["a5"] = []
out_dict["a6"] = []
self.data_dict = out_dict
# OLD data format...
def get_data_dictionary(self):
import json
from urllib.request import urlopen
file_url = self.data_url # "https://raw.githubusercontent.com/srio/shadow3-scripts/master/ESRF-LIGHTSOURCES-EBS/ebs_ids.json"
u = urlopen(file_url)
ur = u.read()
url = ur.decode(encoding='UTF-8')
dictionary = json.loads(url)
self.data_dict = dictionary
if __name__ == "__main__":
from PyQt5.QtWidgets import QApplication
a = QApplication(sys.argv)
ow = OWEBS()
ow.show()
a.exec_()
# data_dict = get_data_dictionary()
# out_list = [("ID%02d %s" % (data_dict["straight_section"][i],data_dict["id_name"][i])) for i in range(len(data_dict["id_name"]))]
# print(out_list)
# data_dict_old = data_dict
# data_dict = get_data_dictionary_csv()
# out_list = [("ID%02d %s" % (data_dict["straight_section"][i],data_dict["id_name"][i])) for i in range(len(data_dict["id_name"]))]
# print(out_list)
# for key in data_dict.keys():
# if key != "id_name":
# print(numpy.array(data_dict[key]) - numpy.array(data_dict_old[key]))
# print(data_dict["id_name"])
# print(data_dict_old["id_name"]) | PypiClean |
/CHASM_NuSpacesim-1.0.0.tar.gz/CHASM_NuSpacesim-1.0.0/demo/.ipynb_checkpoints/CHASM Demo-checkpoint.ipynb | # CHASM (CHerenkov Air Shower Model) Demo
## Hypothetical Tau Primary Upward Air Shower
This notebook shows how to use the CHASM program to simulate the Cerenkov light profile of an air shower using universality. First import some stuff we'll need, including CHASM itself.
```
import numpy as np
import matplotlib.pyplot as plt
import CHASM as ch
```
Now we need to define our array of telescopes. These need to be ahead of the shower to see any Cherenkov light. The origin of the CHASM coordinate system is where the shower axis intersects with Earth's surface. The z axis is vertical from that point, x axis is north, and y axis is west. It is convenient to define the shower axis using spherical coordinates, where we use the standard physics convention (theta is the polar angle measured down from the z axis).
In this case, we will be simulating an tau primary air shower (upward going) from the charged-current decay of an Earth skimming tau neutrino. We want to simulate detectors in orbit, ~500 km above Earth's surface, which corresponds to ~2000 km along an axis with an 85 degree polar angle (see figure below). We create an array of detectors perpendicular to the shower axis (arrayed on the y axis) at this point in space.
```
r = 2141673
theta = np.radians(85)
arc = np.radians(2)
phi = 0
Nxc = 12
Nyc = 12
phis = np.linspace(-arc,arc,Nxc)
thetas = np.linspace(theta-arc,theta+arc,Nyc)
counters = np.empty([Nxc*Nyc,3])
theta_tel, phi_tel = np.meshgrid(thetas,phis)
counters[:,0] = r * np.sin(theta_tel.flatten()) * np.cos(phi_tel.flatten())
counters[:,1] = r * np.sin(theta_tel.flatten()) * np.sin(phi_tel.flatten())
counters[:,2] = r * np.cos(theta_tel.flatten())
```
First we instantiate the simulation:
```
sim = ch.ShowerSimulation()
```
Now we can add things to the simulation using the sim.add() method. First we'll add an axis using the same theta and phi we used to place the array of orbital counters. Since this is an upward shower, we add an upward axis. Since the zenith angle is large (>60 degrees) we must use a curved atmosphere.
```
sim.add(ch.UpwardAxis(theta,phi,curved=True))
```
Now we need a shower. In this example we're using a shower defined by Gaisser (RIP) Hillas parameters. The first argument is X_max, the second is N_max, the third is X_0, and the fourth is Lambda. Alternatively, one could add a shower defined by an array of shower sizes at an array of corresponding depths.
```
sim.add(ch.GHShower(666.,6e7,0.,70.))
```
Now we add our counters. They must be an array of cartesian vectors. The second argument is the surface area of a telescope's aperture in meters squared.
```
sim.add(ch.SphericalCounters(counters, 1.))
```
Finally, we need to define the Cherenkov wavelength interval accepted by the detectors. The first argument is the minimum Cherenkov wavelength in nanometers, the second is the maximum.
```
sim.add(ch.Yield(300,450))
```
Now we can run, creating the objects which store the actual Cherenkov signals.
```
sig = sim.run(mesh=True)
```
Let's plot the Cherenkov signal at the counters.
```
fig = plt.figure()
cx = r*phi_tel.flatten()*1.e-3
cy = r*theta_tel.flatten()*1.e-3
h2d = plt.hist2d(cx,cy-np.median(cy),weights=sig.photons.sum(axis=2).sum(axis=1),bins=Nxc, cmap=plt.cm.jet)
plt.title('Cherenkov Upward Shower footprint at ~500km')
plt.xlabel('Counter Plane X-axis (km)')
plt.ylabel('Counter Plane Y-axis (km)')
ax = plt.gca()
ax.set_aspect('equal')
plt.colorbar(label = 'Number of Cherenkov Photons')
plt.figure()
all_times = sig.signal_times
all_photons = sig.signal_photons.sum(axis=1) #sum over wavelengths
imax = all_photons.sum(axis=1).argmax()
times = all_times[imax]
photons = all_photons[imax]
i = photons > .01
ha = plt.hist(times[i],100, weights=photons[i], histtype='step',label='correction')
sim.remove('axis')
sim.add(ch.UpwardAxis(theta,phi,curved=False))
sim.run(mesh=True)
all_times = sig.times
all_photons = sig.signal_photons.sum(axis=1) #sum over wavelengths
imax = all_photons.sum(axis=1).argmax()
times = all_times[imax]
photons = all_photons[imax]
i = photons > .01
hb = plt.hist(times[i],100, weights=photons[i], histtype='step',label='no correction')
plt.xlabel('ns')
plt.ylabel('# of Cherenkov Photons')
plt.legend()
plt.title('Effect of Arrival Time Correction')
all_photons.shape
fig = plt.figure()
plt.scatter(sig.axis[:,0],sig.axis[:,2],s=.1,c='b', alpha=0.2)
plt.xlim(0,1.e6)
plt.ylim(-.1e6,1.e6)
```
| PypiClean |
/Editra-0.7.20.tar.gz/Editra-0.7.20/src/syntax/_lisp.py | __author__ = "Cody Precord <cprecord@editra.org>"
__svnid__ = "$Id: _lisp.py 68798 2011-08-20 17:17:05Z CJP $"
__revision__ = "$Revision: 68798 $"
#-----------------------------------------------------------------------------#
# Imports
import wx.stc as stc
# Local Imports
import synglob
import syndata
#-----------------------------------------------------------------------------#
#---- Keyword Definitions ----#
# Lisp Functions/Operators
LISP_FUNC = (0, "abort abs access acons acos acosh add-method adjoin "
"adjust-array adjustable-array-p alist allocate-instance "
"alpha-char-p alphanumericp and append apply applyhook apropos "
"apropos-list aref arithmetic-error arithmetic-error-operands "
"arithmetic-error-operation array array-dimension "
"array-dimension-limit array-dimensions array-displacement "
"array-element-type array-has-fill-pointer-p "
"array-in-bounds-p array-rank array-rank-limit "
"array-row-major-index array-total-size "
"array-total-size-limit arrayp ash asin asinh assert assoc "
"assoc-if assoc-if-not atan atanh atom backquote baktrace "
"base-char base-string bignum bignums bit bit-and bit-andc1 "
"bit-andc2 bit-eqv bit-ior bit-nand bit-nor bit-not bit-orc1 "
"bit-orc2 bit-vector bit-vector-p bit-xor block boole boole-1 "
"boole-2 boole-and boole-andc1 boole-andc2 boole-c1 boole-c2 "
"boole-clr boole-eqv boole-ior boole-nand boole-nor boole-orc1 "
"boole-orc2 boole-set boole-xor boolean both-case-p boundp "
"break broadcast-stream broadcast-stream-streams "
"built-in-class butlast byte byte-position byte-size caaaar "
"caaadr caaar caadar caaddr caadr caar cadaar cadadr cadar "
"caddar cadddr caddr cadr call-arguments-limit call-method "
"call-next-method capitalize car case catch ccase cdaaar "
"cdaadr cdaar cdadar cdaddr cdadr cdar cddaar cddadr cddar "
"cdddar cddddr cdddr cddr cdr ceil-error ceil-error-name "
"ceiling cerror change-class char char-bit char-bits "
"char-bits-limit char-code char-code-limit char-control-bit "
"char-downcase char-equal char-font char-font-limit "
"char-greaterp char-hyper-bit char-int char-lessp "
"char-meta-bit char-name char-not-equal char-not-greaterp "
"char-not-lessp char-super-bit char-upcase char/= char<= char= "
"char>= character characterp check-type cirhash cis class "
"class-name class-of clear-input clear-output close code-char "
"coerce commonp compilation-speed compile compile-file "
"compile-file-pathname compiled-function compiled-function-p "
"compiler-let compiler-macro compiler-macro-function "
"complement complex complexp compute-applicable-methods "
"compute-restarts concatenate concatenated-stream "
"concatenated-stream-streams cond condition conjugate cons "
"consp constantly constantp continue control-error copy "
"copy-list copy-pprint-dispatch copy-readtable copy-seq "
"copy-structure copy-symbol copy-tree cos cosh count count-if "
"count-if-not ctypecase debug decf declaim declaration declare "
"decode-float decode-universal-time defclass defconstant "
"defgeneric define-compiler-macro define-condition "
"define-method-combination define-modify-macro "
"define-setf-expander define-setf-method define-symbol-macro "
"defmacro defmethod defpackage defparameter defsetf defstruct "
"deftype defun defvar delete delete-duplicates delete-file "
"delete-if delete-if-not delete-package denominator "
"deposite-field describe describe-object destructuring-bind "
"digit-char digit-char-p directory directory-namestring "
"disassemble division-by-zero do do* do-all-symbols "
"do-external-symbols do-symbols dolist dotimes double-float "
"double-float-epsilon double-float-negative-epsilion dpb "
"dribble dynamic-extent ecase echo-stream "
"echo-stream-input-stream echo-stream-output-stream ed eigth "
"elt encode-universal-time end-of-file endp enough-namestring "
"ensure-directories-exist ensure-generic-function eq eql equal "
"equalp error errset etypecase eval eval-when evalhook evenp "
"every exp export expt extend-char fboundp fceiling "
"fdefinition fflor fifth file-author file-error "
"file-error-pathname file-length file-namestring file-position "
"file-stream file-string-length file-write-date fill "
"fill-pointer find find-all-symbols find-class find-if "
"find-if-not find-method find-package find-restart find-symbol "
"finish-output first fixnum flet float float-digits "
"float-precision float-radix float-sign floating-point-inexact "
"floating-point-invalid-operation floating-point-underflow "
"floatp floor fmakunbound force-output format formatter fourth "
"fresh-line fround ftruncate ftype funcall function "
"function-keywords function-lambda-expression functionp gbitp "
"gcd generic-function gensym gentemp get get-decoded-time "
"get-dispatched-macro-character get-internal-real-time "
"get-internal-run-time get-macro-character "
"get-output-stream-string get-properties get-setf-expansion "
"get-setf-method get-universial-time getf gethash go "
"graphic-char-p handler-bind handler-case hash hash-table "
"hash-table-count hash-table-p hash-table-rehash-size "
"hash-table-rehash-threshold hash-table-size hash-table-test "
"host-namestring identity if if-exists ignorable ignore "
"ignore-errors imagpart import in-package incf "
"initialize-instance inline input-stream-p inspect int-char "
"integer integer-decode-float integer-length integerp "
"interactive-stream-p intern internal-time-units-per-second "
"intersection invalid-method-error invoke-debugger "
"invoke-restart invoke-restart-interactively isqrt keyword "
"keywordp l labels lambda lambda-list-keywords "
"lambda-parameters-limit last lcm ldb ldb-test ldiff "
"least-negative-double-float least-negative-long-float "
"least-negative-normalized-double-float "
"least-negative-normalized-long-float "
"least-negative-normalized-short-font "
"least-negative-normalized-single-font "
"least-negative-short-font least-negative-single-font "
"least-positive-double-float least-positive-long-float "
"least-positive-normalized-double-float "
"least-positive-normalized-long-float "
"least-positive-normalized-short-float "
"least-positive-normalized-single-float "
"least-positive-short-float least-positive-single-float length "
"let let* lisp lisp-implementation-type "
"lisp-implementation-version list list* "
"list-all-packages list-lenght listen listp load "
"load-logical-pathname-translation load-time-value locally "
"log logand logandc1 logandc2 logbitp logcount logeqv "
"logical-pathname logical-pathname-translations logior lognand "
"lognor lognot logorc1 logorc2 logtest logxor long-float "
"long-float-epsilon long-float-negative-epsilon long-site-name "
"loop loop-finish lower-case-p machine-instance machine-type "
"machine-version macro-function macroexpand macroexpand-1 "
"macroexpand-l macrolet make make-array make-broadcast-stream "
"make-char make-concatenated-stream make-condition "
"make-dispatch-macro-character make-echo-stream "
"make-hash-table make-instance make-instances-obsolete "
"make-list make-load-form make-load-form-saving-slots "
"make-method make-package make-pathname make-random-state "
"make-sequence make-string make-string-input-stream "
"make-string-output-stream make-symbol make-synonym-stream "
"make-two-way-stream makunbound map map-into mapc mapcan "
"mapcar mapcon maphash mapl maplist mask-field max member "
"member-if member-if-not merge merge-pathname merge-pathnames "
"method method-combination method-combination-error "
"method-qualifiers min minusp mismatch mod "
"most-negative-double-float most-negative-fixnum "
"most-negative-long-float most-negative-short-float "
"most-negative-single-float most-positive-fixnum "
"most-positive-long-float most-positive-short-float "
"most-positive-single-float muffle-warning "
"multiple-value-bind multiple-value-call multiple-value-limit "
"multiple-value-list multiple-value-prog1 multiple-value-seteq "
"multiple-value-setq name name-char namestring nbutlast nconc "
"next-method-p nil nintersection ninth no-applicable-method "
"no-next-method not notany notevery notinline nreconc nreverse "
"nset-difference nset-exclusive-or nstring nstring-capitalize "
"nstring-downcase nstring-upcase nstubst-if-not nsublis nsubst "
"nsubst-if nth nth-value nthcdr null number numberp numerator "
"nunion oddp open open-stream-p optimize or otherwise "
"output-stream-p package package-error package-error-package "
"package-name package-nicknames package-shadowing-symbols "
"package-use-list package-used-by-list packagep pairlis "
"parse-error parse-integer parse-namestring pathname "
"pathname-device pathname-directory pathname-host "
"pathname-match-p pathname-name pathname-type "
"pathname-version pathnamep peek-char phase pi plist plusp pop "
"position position-if position-if-not pprint pprint-dispatch "
"pprint-exit-if-list-exhausted pprint-fill pprint-indent "
"pprint-linear pprint-logical-block pprint-newline pprint-pop "
"pprint-tab pprint-tabular prin1 prin1-to-string princ "
"princ-to-string print print-not-readable "
"print-not-readable-object print-object probe-file proclaim "
"prog prog* prog1 prog2 progn program-error progv provide "
"psetf psetq push pushnew putprop quote random random-state "
"random-state-p rassoc rassoc-if rassoc-if-not ration rational "
"rationalize rationalp read read-byte read-car-no-hang "
"read-char read-delimited-list read-eval-print "
"read-from-string read-line read-preserving-whitespace "
"read-squence reader-error readtable readtable-case readtablep "
"real realp realpart reduce reinitialize-instance rem remf "
"remhash remove remove-duplicates remove-if "
"remove-if-not remove-method remprop rename-file "
"rename-package replace require rest restart restart-bind "
"restart-case restart-name return return-from revappend "
"reverse room rotatef round row-major-aref rplaca rplacd "
"safety satisfies sbit scale-float schar search second "
"sequence serious-condition set set-char-bit set-difference "
"set-dispatched-macro-character set-exclusive-or "
"set-macro-character set-pprint-dispatch "
"set-syntax-from-char setf setq seventh shadow "
"shadowing-import shared-initialize shiftf short-float "
"short-float-epsilon short-float-negative-epsilon "
"short-site-name signal signed-byte signum simple-array "
"simple-base-string simple-bit-vector- simple-bit-vector-p "
"simple-condition simple-condition-format-arguments "
"simple-condition-format-control simple-error simple-string "
"simple-string-p simple-type-error simple-vector "
"simple-vector-p simple-warning sin single-float "
"single-float-epsilon single-float-negative-epsilon sinh "
"sixth sleep slot-boundp slot-exists-p slot-makunbound "
"slot-missing slot-unbound slot-value software-type "
"software-version some sort space special special-form-p "
"special-operator-p speed sqrt stable-sort standard "
"standard-char standard-char-p standard-class "
"standard-generic-function standard-method standard-object "
"step storage-condition store-value stream stream-element-type "
"stream-error stream-error-stream stream-external-format "
"streamp streamup string string-capitalize string-char "
"string-char-p string-downcase string-equal string-greaterp "
"string-left-trim string-lessp string-not-equal "
"string-not-greaterp string-not-lessp string-right-strim "
"string-right-trim string-stream string-trim string-upcase "
"string/= string< string<= string= string> string>= stringp "
"structure structure-class structure-object style-warning "
"sublim sublis subseq subsetp subst subst-if subst-if-not "
"substitute substitute-if substitute-if-not subtypep svref "
"sxhash symbol symbol-function symbol-macrolet symbol-name "
"symbol-package symbol-plist symbol-value symbolp "
"synonym-stream synonym-stream-symbol sys system t tagbody "
"tailp tan tanh tenth terpri the third throw time trace "
"translate-logical-pathname translate-pathname tree-equal "
"truename truncase truncate two-way-stream "
"two-way-stream-input-stream two-way-stream-output-stream "
"type type-error type-error-datnum type-error-expected-type "
"type-of typecase typep unbound-slot unbound-slot-instance "
"unbound-variable undefined-function unexport unintern union "
"unless unread unread-char unsigned-byte untrace unuse-package "
"unwind-protect update-instance-for-different-class "
"update-instance-for-redefined-class "
"upgraded-array-element-type upgraded-complex-part-type "
"upper-case-p use-package use-value user user-homedir-pathname "
"value value-list values vector vector-pop vector-push "
"vector-push-extend vectorp warn warning when "
"wild-pathname-p with-accessors with-compilation-unit "
"with-condition-restarts with-hash-table-iterator "
"with-input-from-string with-open-file with-open-stream "
"with-output-to-string with-package-iterator "
"with-simple-restart with-slots with-standard-io-syntax write "
"write-byte write-char write-line write-sequence" )
SCHEME_KW = (0, "* + - / < <= = => > >= abs acos and angle append apply asin "
"assoc assq assv atan begin boolean? caaaar caaadr caaar "
"caadar caaddr caadr caar cadaar cadadr cadar caddar cadddr "
"caddr cadr call-with-current-continuation "
"call-with-input-file call-with-output-file call-with-values "
"call/cc car case cdaaar cdaadr cdaar cdadar cdaddr cdadr cdar "
"cddaar cddadr cddar cdddar cddddr cdddr cddr cdr ceiling "
"char->integer char-alphabetic? char-ci<=? char-ci<? char-ci=? "
"char-ci>=? char-ci>? char-downcase char-lower-case? "
"char-numeric? char-ready? char-upcase char-upper-case? "
"char-whitespace? char<=? char<? char=? char>=? char>? char? "
"close-input-port close-output-port complex? cond cons cos "
"current-input-port current-output-port define define-syntax "
"delay denominator display do dynamic-wind else eof-object? "
"eq? equal? eqv? eval even? exact->inexact exact? exp expt "
"floor for-each force gcd if imag-part inexact->exact inexact? "
"input-port? integer->char integer? interaction-environment "
"lambda lcm length let let* let-syntax letrec letrec-syntax "
"list list->string list->vector list-ref list-tail list? load "
"log magnitude make-polar make-rectangular make-string "
"make-vector map max member memq memv min modulo negative? "
"newline not null-environment null? number->string number? "
"numerator odd? open-input-file open-output-file or "
"output-port? pair? peek-char positive? procedure? quasiquote "
"quote quotient rational? rationalize read read-char "
"real-part real? remainder reverse round "
"scheme-report-environment set! set-car! set-cdr! sin sqrt "
"string string->list string->number string->symbol "
"string-append string-ci<=? string-ci<? string-ci=? "
"string-ci>=? string-ci>? string-copy string-fill! "
"string-length string-ref string-set! string<=? string<? "
"string=? string>=? string>? string? substring symbol->string "
"symbol? syntax-rules transcript-off transcript-on truncate "
"unquote unquote-splicing values vector vector->list "
"vector-fill! vector-length vector-ref vector-set! vector? "
"with-input-from-file with-output-to-file write write-char "
"zero?" )
# Lisp Keywords
LISP_KEYWORDS = (1, ":abort :adjustable :append :array :base :case :circle "
":conc-name :constructor :copier :count :create :default "
":device :directory :displaced-index-offset :displaced-to "
":element-type :end :end1 :end2 :error :escape :external "
":from-end :gensym :host :include :if-does-not-exist "
":if-exists :index :inherited :internal :initial-contents "
":initial-element :initial-offset :initial-value :input "
":io :junk-allowed :key :length :level :name :named "
":new-version :nicknames :output :ouput=file :overwrite "
":predicate :preserve-whitespace :pretty :print "
":print-function :probe :radix :read-only :rehash-size "
":rehash-threshold :rename :size :rename-and-delete :start "
":start1 :start2 :stream :supersede :test :test-not :use "
":verbose :version")
NEWLISP_FUNC = (0, "! != % & * + - / : < << <= = > >= >> ? @ NaN? abort abs "
"acos acosh add address " "amb and append append-file apply "
"args array array-list array? asin asinh assoc assoc-set "
"atan atan2 atanh atom? base64-dec base64-enc bayes-query "
"bayes-train begin beta betai bind binomial callback case "
"catch ceil change-dir char chop clean close command-event "
"cond cons constant context context? copy-file cos cosh "
"count cpymem crc32 crit-chi2 crit-z current-line curry "
"date date-value debug dec def-new default define "
"define-macro delete delete-file delete-url destroy det "
"device difference directory directory? div do-until "
"do-while doargs dolist dostring dotimes dotree dump dup "
"empty? encrypt ends-with env erf error-event error-number "
"error-text eval eval-string exec exists exit exp expand "
"explode factor fft file-info file? filter find find-all "
"first flat " "float float? floor flt for for-all fork "
"format fv gammai gammaln gcd get-char get-float get-int "
"get-long get-string get-url global global? if if-not ifft "
"import inc index int integer integer? intersect invert irr "
"join lambda? last legal? length let letex letn list list? "
"load local log lookup lower-case macro? main-args make-dir "
"map mat match max member min mod mul multiply name "
"net-accept net-close net-connect net-error net-eval "
"net-listen net-local net-lookup net-peek net-peer net-ping"
"-receive " "net-receive-from net-receive-udp net-select "
"net-send net-send-to net-send-udp net-service net-sessions "
"new nil nil? normal not now nper npv nth nth-set null? "
"number? open or ostype pack parse parse-date peek pipe pmt "
"pop pop-assoc post-url pow pretty-print primitive? print "
"println prob-chi2 prob-z process prompt-event protected? "
"push put-url pv quote quote? rand random randomize "
"read-buffer read-char read-expr read-file read-key "
"read-line real-path ref ref-all ref-set regex regex-comp "
"remove-dir rename-file replace reset rest reverse rotate "
"round save search seed seek select semaphore sequence "
"series set set-assoc set-locale set-nth set-ref "
"set-ref-all setq sgn share signal silent sin sinh sleep "
"slice sort source spawn sqrt starts-with string string? "
"sub swap sym symbol? symbols sync sys-error sys-info tan "
"tanh throw throw-error time time-of-day timer title-case "
"trace trace-highlight transpose trim true true? unicode "
"unify unique unless unpack until upper-case utf8 utf8len "
"uuid wait-pid when while write-buffer write-char "
"write-file write-line xml-error xml-parse xml-type-tags "
"zero? | ~ lambda")
# Lisp Keywords
NEWLISP_KEYWORDS = (1, "$ $0 $1 $10 $11 $12 $13 $14 $15 $2 $3 $4 $5 $6 $7 $8 "
"$9 $args $idx $main-args MAIN :")
#---- Syntax Style Specs ----#
SYNTAX_ITEMS = [ (stc.STC_LISP_DEFAULT, 'default_style'),
(stc.STC_LISP_COMMENT, 'comment_style'),
(stc.STC_LISP_MULTI_COMMENT, 'comment_style'),
(stc.STC_LISP_IDENTIFIER, 'default_style'),
(stc.STC_LISP_KEYWORD, 'keyword_style'),
(stc.STC_LISP_KEYWORD_KW, 'keyword2_style'),
(stc.STC_LISP_NUMBER, 'number_style'),
(stc.STC_LISP_OPERATOR, 'operator_style'),
(stc.STC_LISP_SPECIAL, 'operator_style'),
(stc.STC_LISP_STRING, 'string_style'),
(stc.STC_LISP_STRINGEOL, 'stringeol_style'),
(stc.STC_LISP_SYMBOL, 'scalar_style') ]
#---- Extra Properties ----#
FOLD = ('fold', '1')
#-----------------------------------------------------------------------------#
class SyntaxData(syndata.SyntaxDataBase):
"""SyntaxData object for List/newLisp/Scheme"""
def __init__(self, langid):
super(SyntaxData, self).__init__(langid)
# Setup
self.SetLexer(stc.STC_LEX_LISP)
def GetKeywords(self):
"""Returns Specified Keywords List """
if self.LangId == synglob.ID_LANG_LISP:
return [LISP_FUNC, LISP_KEYWORDS]
elif self.LangId == synglob.ID_LANG_SCHEME:
return [SCHEME_KW]
elif self.LangId == synglob.ID_LANG_NEWLISP:
return [NEWLISP_FUNC, NEWLISP_KEYWORDS]
else:
return list()
def GetSyntaxSpec(self):
"""Syntax Specifications """
return SYNTAX_ITEMS
def GetProperties(self):
"""Returns a list of Extra Properties to set """
return [FOLD]
def GetCommentPattern(self):
"""Returns a list of characters used to comment a block of code """
return [u';'] | PypiClean |
/Elpotrero-1.6.2.tar.gz/Elpotrero-1.6.2/elpotrero/django.py | import os
import yaml
import shutil
def _here():
"""standard "here" helper function"""
return os.path.dirname(os.path.realpath(__file__))
def _cwd():
return os.getcwd()
class DjangoInstall:
# meta refers to the configuration file for this script
meta = "_files/conf.yaml"
# the basic conf is basic for the installation we are
# setting up.
basicconfig = None
destinationfolder = None
def __init__(self, basicconfigfile=None, destinationfolder=""):
if basicconfigfile is None:
meta = self._getmetainfo()
self.basicconfig = os.path.join(_here(),
meta['filepaths']['basic']['src'])
else:
self.basicconfig = os.path.join(_cwd(), basicconfigfile)
self.destinationfolder = destinationfolder
def _getbranches(self):
""" util function to quickly get back the branches we will be using"""
if not self.basicconfig:
conf = self._getmetainfo()
self.basicconfig = os.path.join(_here(), conf['basic']['src'])
stream = open(self.basicconfig)
return yaml.load(stream)['branch']
def _getmetainfo(self):
""" function that returns a dict with all the config info
"""
stream = open(os.path.join(_here(), self.meta))
return yaml.load(stream)
def install(self):
conf = self._getmetainfo()
# copy the main tree
shutil.copytree(
os.path.join(_here(), conf['directorystructure']['src']),
os.path.join(_cwd(), self.destinationfolder))
dstbasic = os.path.join(_cwd(), self.destinationfolder,
conf['filepaths']['basic']['dst'])
shutil.copyfile(self.basicconfig, dstbasic)
branches = self._getbranches()
for b in branches:
src = os.path.join(_here(), conf['filepaths']['virtualenv']['src'])
filename = src.split(os.path.sep)[-1].replace('BRANCH', b)
dst = os.path.join(_cwd(), self.destinationfolder,
conf['filepaths']['virtualenv']['dst'],
filename)
shutil.copyfile(src, dst) | PypiClean |
/GLAM-0.3.7-py3-none-any.whl/glam/app_conf.py |
# https://stackoverflow.com/a/33533514
from __future__ import annotations
import argparse
import os
class AppConf:
"""Class for all application configuration."""
def __init__(
self,
model: str,
mode: str,
input_dir : str,
output_dir : str,
log_dir : str,
model_dir : str,
batch_size : str,
max_epochs : str,
):
"""Initalise app conf."""
self.model = model
self.mode = mode
self.input_dir = input_dir
self.output_dir = output_dir
self.log_dir = log_dir
self.model_dir = model_dir
self.batch_size = int(batch_size)
self.max_epochs = int(max_epochs)
def argv_to_app_conf(args: list[str]) -> AppConf:
"""Parse the command-line arguments into an instance of AppConf."""
parser = argparse.ArgumentParser()
parser.add_argument(
"model", help="which model to train. One of: \{parser, matcher\}")
parser.add_argument(
"mode", help="What to do with the model. One of: \{build, train, predict\}")
parser.add_argument(
"input_dir", help="directory for data")
parser.add_argument(
"output_dir", help="directory to save outputs in")
parser.add_argument(
"--log_dir", help="directory to store logging info", default = 'logs')
parser.add_argument(
'--model_dir', help = 'specify model for predictions, or use if starting training from existing model ', default = '')
parser.add_argument(
'--batch_size', help = 'batch size to use for training/predicting', default = '256')
parser.add_argument(
'--max_epochs', help = 'Maximum number of epochs to run when training', default = '50')
args, unknown = parser.parse_known_args(args)
return AppConf(
args.model,
args.mode,
args.input_dir,
args.output_dir,
args.log_dir,
args.model_dir,
args.batch_size,
args.max_epochs
) | PypiClean |
/GxSphinx-1.0.0.tar.gz/GxSphinx-1.0.0/sphinx/search/non-minified-js/norwegian-stemmer.js | var JSX = {};
(function (JSX) {
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var $__jsx_parseInt = parseInt;
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function $__jsx_isNaN(n) { return n !== n; }
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var GeneratorFunction$0 =
(function () {
try {
return Function('import {GeneratorFunction} from "std:iteration"; return GeneratorFunction')();
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var __jsx_generator_object$0 =
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$__jsx_extend([Among, Among$0], Object);
function Stemmer() {
};
$__jsx_extend([Stemmer], Object);
function BaseStemmer() {
var current$0;
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this.ket = limit$0;
};
$__jsx_extend([BaseStemmer], Stemmer);
BaseStemmer.prototype.setCurrent$S = function (value) {
var current$0;
var cursor$0;
var limit$0;
current$0 = this.current = value;
cursor$0 = this.cursor = 0;
limit$0 = this.limit = current$0.length;
this.limit_backward = 0;
this.bra = cursor$0;
this.ket = limit$0;
};
function BaseStemmer$setCurrent$LBaseStemmer$S($this, value) {
var current$0;
var cursor$0;
var limit$0;
current$0 = $this.current = value;
cursor$0 = $this.cursor = 0;
limit$0 = $this.limit = current$0.length;
$this.limit_backward = 0;
$this.bra = cursor$0;
$this.ket = limit$0;
};
BaseStemmer.setCurrent$LBaseStemmer$S = BaseStemmer$setCurrent$LBaseStemmer$S;
BaseStemmer.prototype.getCurrent$ = function () {
return this.current;
};
function BaseStemmer$getCurrent$LBaseStemmer$($this) {
return $this.current;
};
BaseStemmer.getCurrent$LBaseStemmer$ = BaseStemmer$getCurrent$LBaseStemmer$;
BaseStemmer.prototype.copy_from$LBaseStemmer$ = function (other) {
this.current = other.current;
this.cursor = other.cursor;
this.limit = other.limit;
this.limit_backward = other.limit_backward;
this.bra = other.bra;
this.ket = other.ket;
};
function BaseStemmer$copy_from$LBaseStemmer$LBaseStemmer$($this, other) {
$this.current = other.current;
$this.cursor = other.cursor;
$this.limit = other.limit;
$this.limit_backward = other.limit_backward;
$this.bra = other.bra;
$this.ket = other.ket;
};
BaseStemmer.copy_from$LBaseStemmer$LBaseStemmer$ = BaseStemmer$copy_from$LBaseStemmer$LBaseStemmer$;
BaseStemmer.prototype.in_grouping$AIII = function (s, min, max) {
var ch;
var $__jsx_postinc_t;
if (this.cursor >= this.limit) {
return false;
}
ch = this.current.charCodeAt(this.cursor);
if (ch > max || ch < min) {
return false;
}
ch -= min;
if ((s[ch >>> 3] & 0x1 << (ch & 0x7)) === 0) {
return false;
}
($__jsx_postinc_t = this.cursor, this.cursor = ($__jsx_postinc_t + 1) | 0, $__jsx_postinc_t);
return true;
};
function BaseStemmer$in_grouping$LBaseStemmer$AIII($this, s, min, max) {
var ch;
var $__jsx_postinc_t;
if ($this.cursor >= $this.limit) {
return false;
}
ch = $this.current.charCodeAt($this.cursor);
if (ch > max || ch < min) {
return false;
}
ch -= min;
if ((s[ch >>> 3] & 0x1 << (ch & 0x7)) === 0) {
return false;
}
($__jsx_postinc_t = $this.cursor, $this.cursor = ($__jsx_postinc_t + 1) | 0, $__jsx_postinc_t);
return true;
};
BaseStemmer.in_grouping$LBaseStemmer$AIII = BaseStemmer$in_grouping$LBaseStemmer$AIII;
BaseStemmer.prototype.in_grouping_b$AIII = function (s, min, max) {
var ch;
var $__jsx_postinc_t;
if (this.cursor <= this.limit_backward) {
return false;
}
ch = this.current.charCodeAt(this.cursor - 1);
if (ch > max || ch < min) {
return false;
}
ch -= min;
if ((s[ch >>> 3] & 0x1 << (ch & 0x7)) === 0) {
return false;
}
($__jsx_postinc_t = this.cursor, this.cursor = ($__jsx_postinc_t - 1) | 0, $__jsx_postinc_t);
return true;
};
function BaseStemmer$in_grouping_b$LBaseStemmer$AIII($this, s, min, max) {
var ch;
var $__jsx_postinc_t;
if ($this.cursor <= $this.limit_backward) {
return false;
}
ch = $this.current.charCodeAt($this.cursor - 1);
if (ch > max || ch < min) {
return false;
}
ch -= min;
if ((s[ch >>> 3] & 0x1 << (ch & 0x7)) === 0) {
return false;
}
($__jsx_postinc_t = $this.cursor, $this.cursor = ($__jsx_postinc_t - 1) | 0, $__jsx_postinc_t);
return true;
};
BaseStemmer.in_grouping_b$LBaseStemmer$AIII = BaseStemmer$in_grouping_b$LBaseStemmer$AIII;
BaseStemmer.prototype.out_grouping$AIII = function (s, min, max) {
var ch;
var $__jsx_postinc_t;
if (this.cursor >= this.limit) {
return false;
}
ch = this.current.charCodeAt(this.cursor);
if (ch > max || ch < min) {
($__jsx_postinc_t = this.cursor, this.cursor = ($__jsx_postinc_t + 1) | 0, $__jsx_postinc_t);
return true;
}
ch -= min;
if ((s[ch >>> 3] & 0X1 << (ch & 0x7)) === 0) {
($__jsx_postinc_t = this.cursor, this.cursor = ($__jsx_postinc_t + 1) | 0, $__jsx_postinc_t);
return true;
}
return false;
};
function BaseStemmer$out_grouping$LBaseStemmer$AIII($this, s, min, max) {
var ch;
var $__jsx_postinc_t;
if ($this.cursor >= $this.limit) {
return false;
}
ch = $this.current.charCodeAt($this.cursor);
if (ch > max || ch < min) {
($__jsx_postinc_t = $this.cursor, $this.cursor = ($__jsx_postinc_t + 1) | 0, $__jsx_postinc_t);
return true;
}
ch -= min;
if ((s[ch >>> 3] & 0X1 << (ch & 0x7)) === 0) {
($__jsx_postinc_t = $this.cursor, $this.cursor = ($__jsx_postinc_t + 1) | 0, $__jsx_postinc_t);
return true;
}
return false;
};
BaseStemmer.out_grouping$LBaseStemmer$AIII = BaseStemmer$out_grouping$LBaseStemmer$AIII;
BaseStemmer.prototype.out_grouping_b$AIII = function (s, min, max) {
var ch;
var $__jsx_postinc_t;
if (this.cursor <= this.limit_backward) {
return false;
}
ch = this.current.charCodeAt(this.cursor - 1);
if (ch > max || ch < min) {
($__jsx_postinc_t = this.cursor, this.cursor = ($__jsx_postinc_t - 1) | 0, $__jsx_postinc_t);
return true;
}
ch -= min;
if ((s[ch >>> 3] & 0x1 << (ch & 0x7)) === 0) {
($__jsx_postinc_t = this.cursor, this.cursor = ($__jsx_postinc_t - 1) | 0, $__jsx_postinc_t);
return true;
}
return false;
};
function BaseStemmer$out_grouping_b$LBaseStemmer$AIII($this, s, min, max) {
var ch;
var $__jsx_postinc_t;
if ($this.cursor <= $this.limit_backward) {
return false;
}
ch = $this.current.charCodeAt($this.cursor - 1);
if (ch > max || ch < min) {
($__jsx_postinc_t = $this.cursor, $this.cursor = ($__jsx_postinc_t - 1) | 0, $__jsx_postinc_t);
return true;
}
ch -= min;
if ((s[ch >>> 3] & 0x1 << (ch & 0x7)) === 0) {
($__jsx_postinc_t = $this.cursor, $this.cursor = ($__jsx_postinc_t - 1) | 0, $__jsx_postinc_t);
return true;
}
return false;
};
BaseStemmer.out_grouping_b$LBaseStemmer$AIII = BaseStemmer$out_grouping_b$LBaseStemmer$AIII;
BaseStemmer.prototype.in_range$II = function (min, max) {
var ch;
var $__jsx_postinc_t;
if (this.cursor >= this.limit) {
return false;
}
ch = this.current.charCodeAt(this.cursor);
if (ch > max || ch < min) {
return false;
}
($__jsx_postinc_t = this.cursor, this.cursor = ($__jsx_postinc_t + 1) | 0, $__jsx_postinc_t);
return true;
};
function BaseStemmer$in_range$LBaseStemmer$II($this, min, max) {
var ch;
var $__jsx_postinc_t;
if ($this.cursor >= $this.limit) {
return false;
}
ch = $this.current.charCodeAt($this.cursor);
if (ch > max || ch < min) {
return false;
}
($__jsx_postinc_t = $this.cursor, $this.cursor = ($__jsx_postinc_t + 1) | 0, $__jsx_postinc_t);
return true;
};
BaseStemmer.in_range$LBaseStemmer$II = BaseStemmer$in_range$LBaseStemmer$II;
BaseStemmer.prototype.in_range_b$II = function (min, max) {
var ch;
var $__jsx_postinc_t;
if (this.cursor <= this.limit_backward) {
return false;
}
ch = this.current.charCodeAt(this.cursor - 1);
if (ch > max || ch < min) {
return false;
}
($__jsx_postinc_t = this.cursor, this.cursor = ($__jsx_postinc_t - 1) | 0, $__jsx_postinc_t);
return true;
};
function BaseStemmer$in_range_b$LBaseStemmer$II($this, min, max) {
var ch;
var $__jsx_postinc_t;
if ($this.cursor <= $this.limit_backward) {
return false;
}
ch = $this.current.charCodeAt($this.cursor - 1);
if (ch > max || ch < min) {
return false;
}
($__jsx_postinc_t = $this.cursor, $this.cursor = ($__jsx_postinc_t - 1) | 0, $__jsx_postinc_t);
return true;
};
BaseStemmer.in_range_b$LBaseStemmer$II = BaseStemmer$in_range_b$LBaseStemmer$II;
BaseStemmer.prototype.out_range$II = function (min, max) {
var ch;
var $__jsx_postinc_t;
if (this.cursor >= this.limit) {
return false;
}
ch = this.current.charCodeAt(this.cursor);
if (! (ch > max || ch < min)) {
return false;
}
($__jsx_postinc_t = this.cursor, this.cursor = ($__jsx_postinc_t + 1) | 0, $__jsx_postinc_t);
return true;
};
function BaseStemmer$out_range$LBaseStemmer$II($this, min, max) {
var ch;
var $__jsx_postinc_t;
if ($this.cursor >= $this.limit) {
return false;
}
ch = $this.current.charCodeAt($this.cursor);
if (! (ch > max || ch < min)) {
return false;
}
($__jsx_postinc_t = $this.cursor, $this.cursor = ($__jsx_postinc_t + 1) | 0, $__jsx_postinc_t);
return true;
};
BaseStemmer.out_range$LBaseStemmer$II = BaseStemmer$out_range$LBaseStemmer$II;
BaseStemmer.prototype.out_range_b$II = function (min, max) {
var ch;
var $__jsx_postinc_t;
if (this.cursor <= this.limit_backward) {
return false;
}
ch = this.current.charCodeAt(this.cursor - 1);
if (! (ch > max || ch < min)) {
return false;
}
($__jsx_postinc_t = this.cursor, this.cursor = ($__jsx_postinc_t - 1) | 0, $__jsx_postinc_t);
return true;
};
function BaseStemmer$out_range_b$LBaseStemmer$II($this, min, max) {
var ch;
var $__jsx_postinc_t;
if ($this.cursor <= $this.limit_backward) {
return false;
}
ch = $this.current.charCodeAt($this.cursor - 1);
if (! (ch > max || ch < min)) {
return false;
}
($__jsx_postinc_t = $this.cursor, $this.cursor = ($__jsx_postinc_t - 1) | 0, $__jsx_postinc_t);
return true;
};
BaseStemmer.out_range_b$LBaseStemmer$II = BaseStemmer$out_range_b$LBaseStemmer$II;
BaseStemmer.prototype.eq_s$IS = function (s_size, s) {
var cursor$0;
if (((this.limit - this.cursor) | 0) < s_size) {
return false;
}
if (this.current.slice(cursor$0 = this.cursor, ((cursor$0 + s_size) | 0)) !== s) {
return false;
}
this.cursor = (this.cursor + s_size) | 0;
return true;
};
function BaseStemmer$eq_s$LBaseStemmer$IS($this, s_size, s) {
var cursor$0;
if ((($this.limit - $this.cursor) | 0) < s_size) {
return false;
}
if ($this.current.slice(cursor$0 = $this.cursor, ((cursor$0 + s_size) | 0)) !== s) {
return false;
}
$this.cursor = ($this.cursor + s_size) | 0;
return true;
};
BaseStemmer.eq_s$LBaseStemmer$IS = BaseStemmer$eq_s$LBaseStemmer$IS;
BaseStemmer.prototype.eq_s_b$IS = function (s_size, s) {
var cursor$0;
if (((this.cursor - this.limit_backward) | 0) < s_size) {
return false;
}
if (this.current.slice((((cursor$0 = this.cursor) - s_size) | 0), cursor$0) !== s) {
return false;
}
this.cursor = (this.cursor - s_size) | 0;
return true;
};
function BaseStemmer$eq_s_b$LBaseStemmer$IS($this, s_size, s) {
var cursor$0;
if ((($this.cursor - $this.limit_backward) | 0) < s_size) {
return false;
}
if ($this.current.slice((((cursor$0 = $this.cursor) - s_size) | 0), cursor$0) !== s) {
return false;
}
$this.cursor = ($this.cursor - s_size) | 0;
return true;
};
BaseStemmer.eq_s_b$LBaseStemmer$IS = BaseStemmer$eq_s_b$LBaseStemmer$IS;
BaseStemmer.prototype.eq_v$S = function (s) {
return BaseStemmer$eq_s$LBaseStemmer$IS(this, s.length, s);
};
function BaseStemmer$eq_v$LBaseStemmer$S($this, s) {
return BaseStemmer$eq_s$LBaseStemmer$IS($this, s.length, s);
};
BaseStemmer.eq_v$LBaseStemmer$S = BaseStemmer$eq_v$LBaseStemmer$S;
BaseStemmer.prototype.eq_v_b$S = function (s) {
return BaseStemmer$eq_s_b$LBaseStemmer$IS(this, s.length, s);
};
function BaseStemmer$eq_v_b$LBaseStemmer$S($this, s) {
return BaseStemmer$eq_s_b$LBaseStemmer$IS($this, s.length, s);
};
BaseStemmer.eq_v_b$LBaseStemmer$S = BaseStemmer$eq_v_b$LBaseStemmer$S;
BaseStemmer.prototype.find_among$ALAmong$I = function (v, v_size) {
var i;
var j;
var c;
var l;
var common_i;
var common_j;
var first_key_inspected;
var k;
var diff;
var common;
var w;
var i2;
var res;
i = 0;
j = v_size;
c = this.cursor;
l = this.limit;
common_i = 0;
common_j = 0;
first_key_inspected = false;
while (true) {
k = i + (j - i >>> 1);
diff = 0;
common = (common_i < common_j ? common_i : common_j);
w = v[k];
for (i2 = common; i2 < w.s_size; i2++) {
if (c + common === l) {
diff = -1;
break;
}
diff = this.current.charCodeAt(c + common) - w.s.charCodeAt(i2);
if (diff !== 0) {
break;
}
common++;
}
if (diff < 0) {
j = k;
common_j = common;
} else {
i = k;
common_i = common;
}
if (j - i <= 1) {
if (i > 0) {
break;
}
if (j === i) {
break;
}
if (first_key_inspected) {
break;
}
first_key_inspected = true;
}
}
while (true) {
w = v[i];
if (common_i >= w.s_size) {
this.cursor = (c + w.s_size | 0);
if (w.method == null) {
return w.result;
}
res = w.method(w.instance);
this.cursor = (c + w.s_size | 0);
if (res) {
return w.result;
}
}
i = w.substring_i;
if (i < 0) {
return 0;
}
}
return -1;
};
function BaseStemmer$find_among$LBaseStemmer$ALAmong$I($this, v, v_size) {
var i;
var j;
var c;
var l;
var common_i;
var common_j;
var first_key_inspected;
var k;
var diff;
var common;
var w;
var i2;
var res;
i = 0;
j = v_size;
c = $this.cursor;
l = $this.limit;
common_i = 0;
common_j = 0;
first_key_inspected = false;
while (true) {
k = i + (j - i >>> 1);
diff = 0;
common = (common_i < common_j ? common_i : common_j);
w = v[k];
for (i2 = common; i2 < w.s_size; i2++) {
if (c + common === l) {
diff = -1;
break;
}
diff = $this.current.charCodeAt(c + common) - w.s.charCodeAt(i2);
if (diff !== 0) {
break;
}
common++;
}
if (diff < 0) {
j = k;
common_j = common;
} else {
i = k;
common_i = common;
}
if (j - i <= 1) {
if (i > 0) {
break;
}
if (j === i) {
break;
}
if (first_key_inspected) {
break;
}
first_key_inspected = true;
}
}
while (true) {
w = v[i];
if (common_i >= w.s_size) {
$this.cursor = (c + w.s_size | 0);
if (w.method == null) {
return w.result;
}
res = w.method(w.instance);
$this.cursor = (c + w.s_size | 0);
if (res) {
return w.result;
}
}
i = w.substring_i;
if (i < 0) {
return 0;
}
}
return -1;
};
BaseStemmer.find_among$LBaseStemmer$ALAmong$I = BaseStemmer$find_among$LBaseStemmer$ALAmong$I;
BaseStemmer.prototype.find_among_b$ALAmong$I = function (v, v_size) {
var i;
var j;
var c;
var lb;
var common_i;
var common_j;
var first_key_inspected;
var k;
var diff;
var common;
var w;
var i2;
var res;
i = 0;
j = v_size;
c = this.cursor;
lb = this.limit_backward;
common_i = 0;
common_j = 0;
first_key_inspected = false;
while (true) {
k = i + (j - i >> 1);
diff = 0;
common = (common_i < common_j ? common_i : common_j);
w = v[k];
for (i2 = w.s_size - 1 - common; i2 >= 0; i2--) {
if (c - common === lb) {
diff = -1;
break;
}
diff = this.current.charCodeAt(c - 1 - common) - w.s.charCodeAt(i2);
if (diff !== 0) {
break;
}
common++;
}
if (diff < 0) {
j = k;
common_j = common;
} else {
i = k;
common_i = common;
}
if (j - i <= 1) {
if (i > 0) {
break;
}
if (j === i) {
break;
}
if (first_key_inspected) {
break;
}
first_key_inspected = true;
}
}
while (true) {
w = v[i];
if (common_i >= w.s_size) {
this.cursor = (c - w.s_size | 0);
if (w.method == null) {
return w.result;
}
res = w.method(this);
this.cursor = (c - w.s_size | 0);
if (res) {
return w.result;
}
}
i = w.substring_i;
if (i < 0) {
return 0;
}
}
return -1;
};
function BaseStemmer$find_among_b$LBaseStemmer$ALAmong$I($this, v, v_size) {
var i;
var j;
var c;
var lb;
var common_i;
var common_j;
var first_key_inspected;
var k;
var diff;
var common;
var w;
var i2;
var res;
i = 0;
j = v_size;
c = $this.cursor;
lb = $this.limit_backward;
common_i = 0;
common_j = 0;
first_key_inspected = false;
while (true) {
k = i + (j - i >> 1);
diff = 0;
common = (common_i < common_j ? common_i : common_j);
w = v[k];
for (i2 = w.s_size - 1 - common; i2 >= 0; i2--) {
if (c - common === lb) {
diff = -1;
break;
}
diff = $this.current.charCodeAt(c - 1 - common) - w.s.charCodeAt(i2);
if (diff !== 0) {
break;
}
common++;
}
if (diff < 0) {
j = k;
common_j = common;
} else {
i = k;
common_i = common;
}
if (j - i <= 1) {
if (i > 0) {
break;
}
if (j === i) {
break;
}
if (first_key_inspected) {
break;
}
first_key_inspected = true;
}
}
while (true) {
w = v[i];
if (common_i >= w.s_size) {
$this.cursor = (c - w.s_size | 0);
if (w.method == null) {
return w.result;
}
res = w.method($this);
$this.cursor = (c - w.s_size | 0);
if (res) {
return w.result;
}
}
i = w.substring_i;
if (i < 0) {
return 0;
}
}
return -1;
};
BaseStemmer.find_among_b$LBaseStemmer$ALAmong$I = BaseStemmer$find_among_b$LBaseStemmer$ALAmong$I;
BaseStemmer.prototype.replace_s$IIS = function (c_bra, c_ket, s) {
var adjustment;
adjustment = ((s.length - (((c_ket - c_bra) | 0))) | 0);
this.current = this.current.slice(0, c_bra) + s + this.current.slice(c_ket);
this.limit = (this.limit + adjustment) | 0;
if (this.cursor >= c_ket) {
this.cursor = (this.cursor + adjustment) | 0;
} else if (this.cursor > c_bra) {
this.cursor = c_bra;
}
return (adjustment | 0);
};
function BaseStemmer$replace_s$LBaseStemmer$IIS($this, c_bra, c_ket, s) {
var adjustment;
adjustment = ((s.length - (((c_ket - c_bra) | 0))) | 0);
$this.current = $this.current.slice(0, c_bra) + s + $this.current.slice(c_ket);
$this.limit = ($this.limit + adjustment) | 0;
if ($this.cursor >= c_ket) {
$this.cursor = ($this.cursor + adjustment) | 0;
} else if ($this.cursor > c_bra) {
$this.cursor = c_bra;
}
return (adjustment | 0);
};
BaseStemmer.replace_s$LBaseStemmer$IIS = BaseStemmer$replace_s$LBaseStemmer$IIS;
BaseStemmer.prototype.slice_check$ = function () {
var bra$0;
var ket$0;
var limit$0;
return ((bra$0 = this.bra) < 0 || bra$0 > (ket$0 = this.ket) || ket$0 > (limit$0 = this.limit) || limit$0 > this.current.length ? false : true);
};
function BaseStemmer$slice_check$LBaseStemmer$($this) {
var bra$0;
var ket$0;
var limit$0;
return ((bra$0 = $this.bra) < 0 || bra$0 > (ket$0 = $this.ket) || ket$0 > (limit$0 = $this.limit) || limit$0 > $this.current.length ? false : true);
};
BaseStemmer.slice_check$LBaseStemmer$ = BaseStemmer$slice_check$LBaseStemmer$;
BaseStemmer.prototype.slice_from$S = function (s) {
var result;
var bra$0;
var ket$0;
var limit$0;
result = false;
if ((bra$0 = this.bra) < 0 || bra$0 > (ket$0 = this.ket) || ket$0 > (limit$0 = this.limit) || limit$0 > this.current.length ? false : true) {
BaseStemmer$replace_s$LBaseStemmer$IIS(this, this.bra, this.ket, s);
result = true;
}
return result;
};
function BaseStemmer$slice_from$LBaseStemmer$S($this, s) {
var result;
var bra$0;
var ket$0;
var limit$0;
result = false;
if ((bra$0 = $this.bra) < 0 || bra$0 > (ket$0 = $this.ket) || ket$0 > (limit$0 = $this.limit) || limit$0 > $this.current.length ? false : true) {
BaseStemmer$replace_s$LBaseStemmer$IIS($this, $this.bra, $this.ket, s);
result = true;
}
return result;
};
BaseStemmer.slice_from$LBaseStemmer$S = BaseStemmer$slice_from$LBaseStemmer$S;
BaseStemmer.prototype.slice_del$ = function () {
return BaseStemmer$slice_from$LBaseStemmer$S(this, "");
};
function BaseStemmer$slice_del$LBaseStemmer$($this) {
return BaseStemmer$slice_from$LBaseStemmer$S($this, "");
};
BaseStemmer.slice_del$LBaseStemmer$ = BaseStemmer$slice_del$LBaseStemmer$;
BaseStemmer.prototype.insert$IIS = function (c_bra, c_ket, s) {
var adjustment;
adjustment = BaseStemmer$replace_s$LBaseStemmer$IIS(this, c_bra, c_ket, s);
if (c_bra <= this.bra) {
this.bra = (this.bra + adjustment) | 0;
}
if (c_bra <= this.ket) {
this.ket = (this.ket + adjustment) | 0;
}
};
function BaseStemmer$insert$LBaseStemmer$IIS($this, c_bra, c_ket, s) {
var adjustment;
adjustment = BaseStemmer$replace_s$LBaseStemmer$IIS($this, c_bra, c_ket, s);
if (c_bra <= $this.bra) {
$this.bra = ($this.bra + adjustment) | 0;
}
if (c_bra <= $this.ket) {
$this.ket = ($this.ket + adjustment) | 0;
}
};
BaseStemmer.insert$LBaseStemmer$IIS = BaseStemmer$insert$LBaseStemmer$IIS;
BaseStemmer.prototype.slice_to$S = function (s) {
var result;
var bra$0;
var ket$0;
var limit$0;
result = '';
if ((bra$0 = this.bra) < 0 || bra$0 > (ket$0 = this.ket) || ket$0 > (limit$0 = this.limit) || limit$0 > this.current.length ? false : true) {
result = this.current.slice(this.bra, this.ket);
}
return result;
};
function BaseStemmer$slice_to$LBaseStemmer$S($this, s) {
var result;
var bra$0;
var ket$0;
var limit$0;
result = '';
if ((bra$0 = $this.bra) < 0 || bra$0 > (ket$0 = $this.ket) || ket$0 > (limit$0 = $this.limit) || limit$0 > $this.current.length ? false : true) {
result = $this.current.slice($this.bra, $this.ket);
}
return result;
};
BaseStemmer.slice_to$LBaseStemmer$S = BaseStemmer$slice_to$LBaseStemmer$S;
BaseStemmer.prototype.assign_to$S = function (s) {
return this.current.slice(0, this.limit);
};
function BaseStemmer$assign_to$LBaseStemmer$S($this, s) {
return $this.current.slice(0, $this.limit);
};
BaseStemmer.assign_to$LBaseStemmer$S = BaseStemmer$assign_to$LBaseStemmer$S;
BaseStemmer.prototype.stem$ = function () {
return false;
};
BaseStemmer.prototype.stemWord$S = function (word) {
var result;
var current$0;
var cursor$0;
var limit$0;
result = this.cache['.' + word];
if (result == null) {
current$0 = this.current = word;
cursor$0 = this.cursor = 0;
limit$0 = this.limit = current$0.length;
this.limit_backward = 0;
this.bra = cursor$0;
this.ket = limit$0;
this.stem$();
result = this.current;
this.cache['.' + word] = result;
}
return result;
};
BaseStemmer.prototype.stemWord = BaseStemmer.prototype.stemWord$S;
BaseStemmer.prototype.stemWords$AS = function (words) {
var results;
var i;
var word;
var result;
var current$0;
var cursor$0;
var limit$0;
results = [ ];
for (i = 0; i < words.length; i++) {
word = words[i];
result = this.cache['.' + word];
if (result == null) {
current$0 = this.current = word;
cursor$0 = this.cursor = 0;
limit$0 = this.limit = current$0.length;
this.limit_backward = 0;
this.bra = cursor$0;
this.ket = limit$0;
this.stem$();
result = this.current;
this.cache['.' + word] = result;
}
results.push(result);
}
return results;
};
BaseStemmer.prototype.stemWords = BaseStemmer.prototype.stemWords$AS;
function NorwegianStemmer() {
BaseStemmer.call(this);
this.I_x = 0;
this.I_p1 = 0;
};
$__jsx_extend([NorwegianStemmer], BaseStemmer);
NorwegianStemmer.prototype.copy_from$LNorwegianStemmer$ = function (other) {
this.I_x = other.I_x;
this.I_p1 = other.I_p1;
BaseStemmer$copy_from$LBaseStemmer$LBaseStemmer$(this, other);
};
NorwegianStemmer.prototype.copy_from = NorwegianStemmer.prototype.copy_from$LNorwegianStemmer$;
NorwegianStemmer.prototype.r_mark_regions$ = function () {
var v_1;
var v_2;
var c;
var lab1;
var lab3;
var lab4;
var cursor$0;
var limit$0;
var cursor$1;
var cursor$2;
var $__jsx_postinc_t;
this.I_p1 = limit$0 = this.limit;
v_1 = cursor$0 = this.cursor;
c = (cursor$0 + 3 | 0);
if (0 > c || c > limit$0) {
return false;
}
cursor$2 = this.cursor = c;
this.I_x = cursor$2;
this.cursor = v_1;
golab0:
while (true) {
v_2 = this.cursor;
lab1 = true;
lab1:
while (lab1 === true) {
lab1 = false;
if (! BaseStemmer$in_grouping$LBaseStemmer$AIII(this, NorwegianStemmer.g_v, 97, 248)) {
break lab1;
}
this.cursor = v_2;
break golab0;
}
cursor$1 = this.cursor = v_2;
if (cursor$1 >= this.limit) {
return false;
}
($__jsx_postinc_t = this.cursor, this.cursor = ($__jsx_postinc_t + 1) | 0, $__jsx_postinc_t);
}
golab2:
while (true) {
lab3 = true;
lab3:
while (lab3 === true) {
lab3 = false;
if (! BaseStemmer$out_grouping$LBaseStemmer$AIII(this, NorwegianStemmer.g_v, 97, 248)) {
break lab3;
}
break golab2;
}
if (this.cursor >= this.limit) {
return false;
}
($__jsx_postinc_t = this.cursor, this.cursor = ($__jsx_postinc_t + 1) | 0, $__jsx_postinc_t);
}
this.I_p1 = this.cursor;
lab4 = true;
lab4:
while (lab4 === true) {
lab4 = false;
if (! (this.I_p1 < this.I_x)) {
break lab4;
}
this.I_p1 = this.I_x;
}
return true;
};
NorwegianStemmer.prototype.r_mark_regions = NorwegianStemmer.prototype.r_mark_regions$;
function NorwegianStemmer$r_mark_regions$LNorwegianStemmer$($this) {
var v_1;
var v_2;
var c;
var lab1;
var lab3;
var lab4;
var cursor$0;
var limit$0;
var cursor$1;
var cursor$2;
var $__jsx_postinc_t;
$this.I_p1 = limit$0 = $this.limit;
v_1 = cursor$0 = $this.cursor;
c = (cursor$0 + 3 | 0);
if (0 > c || c > limit$0) {
return false;
}
cursor$2 = $this.cursor = c;
$this.I_x = cursor$2;
$this.cursor = v_1;
golab0:
while (true) {
v_2 = $this.cursor;
lab1 = true;
lab1:
while (lab1 === true) {
lab1 = false;
if (! BaseStemmer$in_grouping$LBaseStemmer$AIII($this, NorwegianStemmer.g_v, 97, 248)) {
break lab1;
}
$this.cursor = v_2;
break golab0;
}
cursor$1 = $this.cursor = v_2;
if (cursor$1 >= $this.limit) {
return false;
}
($__jsx_postinc_t = $this.cursor, $this.cursor = ($__jsx_postinc_t + 1) | 0, $__jsx_postinc_t);
}
golab2:
while (true) {
lab3 = true;
lab3:
while (lab3 === true) {
lab3 = false;
if (! BaseStemmer$out_grouping$LBaseStemmer$AIII($this, NorwegianStemmer.g_v, 97, 248)) {
break lab3;
}
break golab2;
}
if ($this.cursor >= $this.limit) {
return false;
}
($__jsx_postinc_t = $this.cursor, $this.cursor = ($__jsx_postinc_t + 1) | 0, $__jsx_postinc_t);
}
$this.I_p1 = $this.cursor;
lab4 = true;
lab4:
while (lab4 === true) {
lab4 = false;
if (! ($this.I_p1 < $this.I_x)) {
break lab4;
}
$this.I_p1 = $this.I_x;
}
return true;
};
NorwegianStemmer.r_mark_regions$LNorwegianStemmer$ = NorwegianStemmer$r_mark_regions$LNorwegianStemmer$;
NorwegianStemmer.prototype.r_main_suffix$ = function () {
var among_var;
var v_1;
var v_2;
var v_3;
var lab0;
var lab1;
var cursor$0;
var cursor$1;
var cursor$2;
v_1 = ((this.limit - (cursor$0 = this.cursor)) | 0);
if (cursor$0 < this.I_p1) {
return false;
}
cursor$1 = this.cursor = this.I_p1;
v_2 = this.limit_backward;
this.limit_backward = cursor$1;
cursor$2 = this.cursor = ((this.limit - v_1) | 0);
this.ket = cursor$2;
among_var = BaseStemmer$find_among_b$LBaseStemmer$ALAmong$I(this, NorwegianStemmer.a_0, 29);
if (among_var === 0) {
this.limit_backward = v_2;
return false;
}
this.bra = this.cursor;
this.limit_backward = v_2;
switch (among_var) {
case 0:
return false;
case 1:
if (! BaseStemmer$slice_from$LBaseStemmer$S(this, "")) {
return false;
}
break;
case 2:
lab0 = true;
lab0:
while (lab0 === true) {
lab0 = false;
v_3 = ((this.limit - this.cursor) | 0);
lab1 = true;
lab1:
while (lab1 === true) {
lab1 = false;
if (! BaseStemmer$in_grouping_b$LBaseStemmer$AIII(this, NorwegianStemmer.g_s_ending, 98, 122)) {
break lab1;
}
break lab0;
}
this.cursor = ((this.limit - v_3) | 0);
if (! BaseStemmer$eq_s_b$LBaseStemmer$IS(this, 1, "k")) {
return false;
}
if (! BaseStemmer$out_grouping_b$LBaseStemmer$AIII(this, NorwegianStemmer.g_v, 97, 248)) {
return false;
}
}
if (! BaseStemmer$slice_from$LBaseStemmer$S(this, "")) {
return false;
}
break;
case 3:
if (! BaseStemmer$slice_from$LBaseStemmer$S(this, "er")) {
return false;
}
break;
}
return true;
};
NorwegianStemmer.prototype.r_main_suffix = NorwegianStemmer.prototype.r_main_suffix$;
function NorwegianStemmer$r_main_suffix$LNorwegianStemmer$($this) {
var among_var;
var v_1;
var v_2;
var v_3;
var lab0;
var lab1;
var cursor$0;
var cursor$1;
var cursor$2;
v_1 = (($this.limit - (cursor$0 = $this.cursor)) | 0);
if (cursor$0 < $this.I_p1) {
return false;
}
cursor$1 = $this.cursor = $this.I_p1;
v_2 = $this.limit_backward;
$this.limit_backward = cursor$1;
cursor$2 = $this.cursor = (($this.limit - v_1) | 0);
$this.ket = cursor$2;
among_var = BaseStemmer$find_among_b$LBaseStemmer$ALAmong$I($this, NorwegianStemmer.a_0, 29);
if (among_var === 0) {
$this.limit_backward = v_2;
return false;
}
$this.bra = $this.cursor;
$this.limit_backward = v_2;
switch (among_var) {
case 0:
return false;
case 1:
if (! BaseStemmer$slice_from$LBaseStemmer$S($this, "")) {
return false;
}
break;
case 2:
lab0 = true;
lab0:
while (lab0 === true) {
lab0 = false;
v_3 = (($this.limit - $this.cursor) | 0);
lab1 = true;
lab1:
while (lab1 === true) {
lab1 = false;
if (! BaseStemmer$in_grouping_b$LBaseStemmer$AIII($this, NorwegianStemmer.g_s_ending, 98, 122)) {
break lab1;
}
break lab0;
}
$this.cursor = (($this.limit - v_3) | 0);
if (! BaseStemmer$eq_s_b$LBaseStemmer$IS($this, 1, "k")) {
return false;
}
if (! BaseStemmer$out_grouping_b$LBaseStemmer$AIII($this, NorwegianStemmer.g_v, 97, 248)) {
return false;
}
}
if (! BaseStemmer$slice_from$LBaseStemmer$S($this, "")) {
return false;
}
break;
case 3:
if (! BaseStemmer$slice_from$LBaseStemmer$S($this, "er")) {
return false;
}
break;
}
return true;
};
NorwegianStemmer.r_main_suffix$LNorwegianStemmer$ = NorwegianStemmer$r_main_suffix$LNorwegianStemmer$;
NorwegianStemmer.prototype.r_consonant_pair$ = function () {
var v_1;
var v_2;
var v_3;
var limit$0;
var cursor$0;
var cursor$1;
var cursor$2;
var cursor$3;
var limit_backward$0;
var $__jsx_postinc_t;
v_1 = (((limit$0 = this.limit) - (cursor$0 = this.cursor)) | 0);
v_2 = ((limit$0 - cursor$0) | 0);
if (cursor$0 < this.I_p1) {
return false;
}
cursor$1 = this.cursor = this.I_p1;
v_3 = this.limit_backward;
this.limit_backward = cursor$1;
cursor$2 = this.cursor = ((this.limit - v_2) | 0);
this.ket = cursor$2;
if (BaseStemmer$find_among_b$LBaseStemmer$ALAmong$I(this, NorwegianStemmer.a_1, 2) === 0) {
this.limit_backward = v_3;
return false;
}
this.bra = this.cursor;
limit_backward$0 = this.limit_backward = v_3;
cursor$3 = this.cursor = ((this.limit - v_1) | 0);
if (cursor$3 <= limit_backward$0) {
return false;
}
($__jsx_postinc_t = this.cursor, this.cursor = ($__jsx_postinc_t - 1) | 0, $__jsx_postinc_t);
this.bra = this.cursor;
return (! BaseStemmer$slice_from$LBaseStemmer$S(this, "") ? false : true);
};
NorwegianStemmer.prototype.r_consonant_pair = NorwegianStemmer.prototype.r_consonant_pair$;
function NorwegianStemmer$r_consonant_pair$LNorwegianStemmer$($this) {
var v_1;
var v_2;
var v_3;
var limit$0;
var cursor$0;
var cursor$1;
var cursor$2;
var cursor$3;
var limit_backward$0;
var $__jsx_postinc_t;
v_1 = (((limit$0 = $this.limit) - (cursor$0 = $this.cursor)) | 0);
v_2 = ((limit$0 - cursor$0) | 0);
if (cursor$0 < $this.I_p1) {
return false;
}
cursor$1 = $this.cursor = $this.I_p1;
v_3 = $this.limit_backward;
$this.limit_backward = cursor$1;
cursor$2 = $this.cursor = (($this.limit - v_2) | 0);
$this.ket = cursor$2;
if (BaseStemmer$find_among_b$LBaseStemmer$ALAmong$I($this, NorwegianStemmer.a_1, 2) === 0) {
$this.limit_backward = v_3;
return false;
}
$this.bra = $this.cursor;
limit_backward$0 = $this.limit_backward = v_3;
cursor$3 = $this.cursor = (($this.limit - v_1) | 0);
if (cursor$3 <= limit_backward$0) {
return false;
}
($__jsx_postinc_t = $this.cursor, $this.cursor = ($__jsx_postinc_t - 1) | 0, $__jsx_postinc_t);
$this.bra = $this.cursor;
return (! BaseStemmer$slice_from$LBaseStemmer$S($this, "") ? false : true);
};
NorwegianStemmer.r_consonant_pair$LNorwegianStemmer$ = NorwegianStemmer$r_consonant_pair$LNorwegianStemmer$;
NorwegianStemmer.prototype.r_other_suffix$ = function () {
var among_var;
var v_1;
var v_2;
var cursor$0;
var cursor$1;
var cursor$2;
v_1 = ((this.limit - (cursor$0 = this.cursor)) | 0);
if (cursor$0 < this.I_p1) {
return false;
}
cursor$1 = this.cursor = this.I_p1;
v_2 = this.limit_backward;
this.limit_backward = cursor$1;
cursor$2 = this.cursor = ((this.limit - v_1) | 0);
this.ket = cursor$2;
among_var = BaseStemmer$find_among_b$LBaseStemmer$ALAmong$I(this, NorwegianStemmer.a_2, 11);
if (among_var === 0) {
this.limit_backward = v_2;
return false;
}
this.bra = this.cursor;
this.limit_backward = v_2;
switch (among_var) {
case 0:
return false;
case 1:
if (! BaseStemmer$slice_from$LBaseStemmer$S(this, "")) {
return false;
}
break;
}
return true;
};
NorwegianStemmer.prototype.r_other_suffix = NorwegianStemmer.prototype.r_other_suffix$;
function NorwegianStemmer$r_other_suffix$LNorwegianStemmer$($this) {
var among_var;
var v_1;
var v_2;
var cursor$0;
var cursor$1;
var cursor$2;
v_1 = (($this.limit - (cursor$0 = $this.cursor)) | 0);
if (cursor$0 < $this.I_p1) {
return false;
}
cursor$1 = $this.cursor = $this.I_p1;
v_2 = $this.limit_backward;
$this.limit_backward = cursor$1;
cursor$2 = $this.cursor = (($this.limit - v_1) | 0);
$this.ket = cursor$2;
among_var = BaseStemmer$find_among_b$LBaseStemmer$ALAmong$I($this, NorwegianStemmer.a_2, 11);
if (among_var === 0) {
$this.limit_backward = v_2;
return false;
}
$this.bra = $this.cursor;
$this.limit_backward = v_2;
switch (among_var) {
case 0:
return false;
case 1:
if (! BaseStemmer$slice_from$LBaseStemmer$S($this, "")) {
return false;
}
break;
}
return true;
};
NorwegianStemmer.r_other_suffix$LNorwegianStemmer$ = NorwegianStemmer$r_other_suffix$LNorwegianStemmer$;
NorwegianStemmer.prototype.stem$ = function () {
var v_1;
var v_2;
var v_3;
var lab0;
var lab1;
var lab2;
var lab3;
var cursor$0;
var limit$0;
var cursor$1;
var limit$1;
var cursor$2;
v_1 = this.cursor;
lab0 = true;
lab0:
while (lab0 === true) {
lab0 = false;
if (! NorwegianStemmer$r_mark_regions$LNorwegianStemmer$(this)) {
break lab0;
}
}
cursor$0 = this.cursor = v_1;
this.limit_backward = cursor$0;
cursor$1 = this.cursor = limit$0 = this.limit;
v_2 = ((limit$0 - cursor$1) | 0);
lab1 = true;
lab1:
while (lab1 === true) {
lab1 = false;
if (! NorwegianStemmer$r_main_suffix$LNorwegianStemmer$(this)) {
break lab1;
}
}
cursor$2 = this.cursor = (((limit$1 = this.limit) - v_2) | 0);
v_3 = ((limit$1 - cursor$2) | 0);
lab2 = true;
lab2:
while (lab2 === true) {
lab2 = false;
if (! NorwegianStemmer$r_consonant_pair$LNorwegianStemmer$(this)) {
break lab2;
}
}
this.cursor = ((this.limit - v_3) | 0);
lab3 = true;
lab3:
while (lab3 === true) {
lab3 = false;
if (! NorwegianStemmer$r_other_suffix$LNorwegianStemmer$(this)) {
break lab3;
}
}
this.cursor = this.limit_backward;
return true;
};
NorwegianStemmer.prototype.stem = NorwegianStemmer.prototype.stem$;
NorwegianStemmer.prototype.equals$X = function (o) {
return o instanceof NorwegianStemmer;
};
NorwegianStemmer.prototype.equals = NorwegianStemmer.prototype.equals$X;
function NorwegianStemmer$equals$LNorwegianStemmer$X($this, o) {
return o instanceof NorwegianStemmer;
};
NorwegianStemmer.equals$LNorwegianStemmer$X = NorwegianStemmer$equals$LNorwegianStemmer$X;
NorwegianStemmer.prototype.hashCode$ = function () {
var classname;
var hash;
var i;
var char;
classname = "NorwegianStemmer";
hash = 0;
for (i = 0; i < classname.length; i++) {
char = classname.charCodeAt(i);
hash = (hash << 5) - hash + char;
hash = hash & hash;
}
return (hash | 0);
};
NorwegianStemmer.prototype.hashCode = NorwegianStemmer.prototype.hashCode$;
function NorwegianStemmer$hashCode$LNorwegianStemmer$($this) {
var classname;
var hash;
var i;
var char;
classname = "NorwegianStemmer";
hash = 0;
for (i = 0; i < classname.length; i++) {
char = classname.charCodeAt(i);
hash = (hash << 5) - hash + char;
hash = hash & hash;
}
return (hash | 0);
};
NorwegianStemmer.hashCode$LNorwegianStemmer$ = NorwegianStemmer$hashCode$LNorwegianStemmer$;
NorwegianStemmer.serialVersionUID = 1;
$__jsx_lazy_init(NorwegianStemmer, "methodObject", function () {
return new NorwegianStemmer();
});
$__jsx_lazy_init(NorwegianStemmer, "a_0", function () {
return [ new Among("a", -1, 1), new Among("e", -1, 1), new Among("ede", 1, 1), new Among("ande", 1, 1), new Among("ende", 1, 1), new Among("ane", 1, 1), new Among("ene", 1, 1), new Among("hetene", 6, 1), new Among("erte", 1, 3), new Among("en", -1, 1), new Among("heten", 9, 1), new Among("ar", -1, 1), new Among("er", -1, 1), new Among("heter", 12, 1), new Among("s", -1, 2), new Among("as", 14, 1), new Among("es", 14, 1), new Among("edes", 16, 1), new Among("endes", 16, 1), new Among("enes", 16, 1), new Among("hetenes", 19, 1), new Among("ens", 14, 1), new Among("hetens", 21, 1), new Among("ers", 14, 1), new Among("ets", 14, 1), new Among("et", -1, 1), new Among("het", 25, 1), new Among("ert", -1, 3), new Among("ast", -1, 1) ];
});
$__jsx_lazy_init(NorwegianStemmer, "a_1", function () {
return [ new Among("dt", -1, -1), new Among("vt", -1, -1) ];
});
$__jsx_lazy_init(NorwegianStemmer, "a_2", function () {
return [ new Among("leg", -1, 1), new Among("eleg", 0, 1), new Among("ig", -1, 1), new Among("eig", 2, 1), new Among("lig", 2, 1), new Among("elig", 4, 1), new Among("els", -1, 1), new Among("lov", -1, 1), new Among("elov", 7, 1), new Among("slov", 7, 1), new Among("hetslov", 9, 1) ];
});
NorwegianStemmer.g_v = [ 17, 65, 16, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 128 ];
NorwegianStemmer.g_s_ending = [ 119, 125, 149, 1 ];
var $__jsx_classMap = {
"src/among.jsx": {
Among: Among,
Among$SII: Among,
Among$SIIF$LBaseStemmer$B$LBaseStemmer$: Among$0
},
"src/stemmer.jsx": {
Stemmer: Stemmer,
Stemmer$: Stemmer
},
"src/base-stemmer.jsx": {
BaseStemmer: BaseStemmer,
BaseStemmer$: BaseStemmer
},
"src/norwegian-stemmer.jsx": {
NorwegianStemmer: NorwegianStemmer,
NorwegianStemmer$: NorwegianStemmer
}
};
})(JSX);
var Among = JSX.require("src/among.jsx").Among;
var Among$SII = JSX.require("src/among.jsx").Among$SII;
var Stemmer = JSX.require("src/stemmer.jsx").Stemmer;
var BaseStemmer = JSX.require("src/base-stemmer.jsx").BaseStemmer;
var NorwegianStemmer = JSX.require("src/norwegian-stemmer.jsx").NorwegianStemmer; | PypiClean |
/DeepPhysX.Sofa-22.12.1.tar.gz/DeepPhysX.Sofa-22.12.1/examples/features/Environment/EnvironmentSofa.py | from numpy import mean, pi, array
from numpy.random import random, randint
from time import sleep
# DeepPhysX related imports
from DeepPhysX.Sofa.Environment.SofaEnvironment import SofaEnvironment
# Create an Environment as a BaseEnvironment child class
class EnvironmentSofa(SofaEnvironment):
def __init__(self,
as_tcp_ip_client=True,
instance_id=1,
instance_nb=1,
constant=False,
data_size=(30, 3),
delay=False):
SofaEnvironment.__init__(self,
as_tcp_ip_client=as_tcp_ip_client,
instance_id=instance_id,
instance_nb=instance_nb)
# MechanicalObjects container
self.MO = {}
# Environment parameters
self.constant = constant
self.data_size = data_size
self.delay = delay
"""
ENVIRONMENT INITIALIZATION
Methods will be automatically called in this order to create and initialize Environment.
- create
- init_database
- init_visualization
"""
def create(self):
# Initialize data
pcd = pi * random(self.data_size)
center = array([mean(pcd, axis=0)])
# Add SOFA plugins
plugins = ['SofaComponentAll']
self.root.addObject('RequiredPlugin', pluginName=plugins)
# Add a MechanicalObject for the input data
self.root.addChild('input')
self.MO['input'] = self.root.input.addObject('MechanicalObject', name='MO', position=pcd.tolist(),
showObject=True, showObjectScale=5)
# Add a MechanicalObject for the ground truth
self.root.addChild('output')
self.MO['ground_truth'] = self.root.output.addObject('MechanicalObject', name='MO', position=center.tolist(),
showObject=True, showObjectScale=10, showColor="0 200 0 255")
# Add a MechanicalObject for the prediction
self.root.addChild('predict')
self.MO['prediction'] = self.root.predict.addObject('MechanicalObject', name='MO', position=[0., 0., 0.],
showObject=True, showObjectScale=10, showColor="100 0 200 255")
def init_database(self):
pass
"""
ENVIRONMENT BEHAVIOR
Methods will be automatically called by requests from Server or from EnvironmentManager depending on
'as_tcp_ip_client' configuration value.
- onAnimateBeginEvent
- onAnimateEndEvent
- on_step
"""
def onAnimateBeginEvent(self, _):
# Compute new data
if not self.constant:
pcd = pi * random(self.data_size)
center = array([mean(pcd, axis=0)])
self.MO['input'].position.value = pcd
self.MO['ground_truth'].position.value = center
# Simulate longer process
if self.delay:
sleep(0.01 * randint(0, 10))
def close(self):
# Shutdown message
print("Bye!") | PypiClean |
/Gbtestapi0.4-0.1a10.tar.gz/Gbtestapi0.4-0.1a10/src/gailbot/services/pipeline/components/transcribeComponent.py | import copy
import time
import threading
from gailbot.core.engines.engineManager import EngineManager
from typing import Any, List, Dict
from gailbot.core.pipeline import Component, ComponentState, ComponentResult
from gailbot.core.utils.general import get_name
from gailbot.core.utils.threads import ThreadPool
from gailbot.core.utils.logger import makelogger
from ...converter.result import ProcessingStats
from ...converter.payload import PayLoadObject
from ..components.progress import ProgressMessage
from gailbot.configs import service_config_loader
logger = makelogger("transcribeComponent")
DEFULT_NUM_THREAD = service_config_loader().thread.transcriber_num_threads
class InvalidEngineError(Exception):
def __init__(self, engine: str, *args) -> None:
super().__init__(*args)
self.engine = engine
def __repr__(self) -> str:
return self.engine + "is not a valid engine"
class TranscribeComponent(Component):
"""
Responsible for running the transcription process
"""
def __init__(self, num_thread: int = DEFULT_NUM_THREAD):
self.engine_manager = EngineManager() # a wrapper class for managing
# and transcribing payload using engine
self.num_thread = num_thread
self.is_transcribing = False
def __call__(self, dependency_output: Dict[str, ComponentResult]) -> Any:
"""
Extracts the payload objects from the dependency_output and
transcribes the datafiles in the payload object
Args:
dependency_output (Dict[str, ComponentResult]): dependency output contains the
result of the component and payload data
Returns:
Any: component result that stores the result state of transcription
and payloads data
"""
try:
self.is_transcribing = True
timer = threading.Timer(5, self._log_progress)
timer.start()
threadpool = ThreadPool(self.num_thread)
logger.info(dependency_output)
dep: ComponentResult = dependency_output["base"]
# get the list of payloads from dependency_output
payloads: List[PayLoadObject] = dep.result
process_start_time = time.time()
logger.info(f"received payloads {payloads}")
for payload in payloads:
self._display_progress(payload, ProgressMessage.Waiting)
if not payload.transcribed:
# add the payload to the threadpool
key = threadpool.add_task(
task=self._transcribe_one_payload,
args=[payload],
key=payload.name,
)
assert key == payload.name
logger.info(
f"payload {payload.name} is added to the threadpool, the key is {key}"
)
else:
self._display_progress(payload, ProgressMessage.Finished)
# get the result from the thread pool
for payload in payloads:
if not payload.transcribed:
if not threadpool.get_task_result(payload.name):
payload.set_failure()
else:
payload.set_transcribed()
self.is_transcribing = False
except Exception as e:
logger.error(f"Transcription failure {e}", exc_info=e)
threadpool.shutdown(wait=True)
self.is_transcribing = False
timer.cancel()
return ComponentResult(
state=ComponentState.FAILED,
result=payloads,
runtime=time.time() - process_start_time,
)
else:
threadpool.shutdown(cancel_futures=True)
self.is_transcribing = False
timer.cancel()
return ComponentResult(
state=ComponentState.SUCCESS,
result=payloads,
runtime=time.time() - process_start_time,
)
def _transcribe_one_payload(self, payload: PayLoadObject) -> bool:
"""private function that transcribe each individual payload
Args:
payload (PayLoadObject): payload object that stores the datafiles
Raises:
InvalidEngineError:
raised when the engine setting uses an invalid engine
Returns:
: return True if the payload is transcribed successfully , false
otherwise
"""
try:
logger.info(f"Payload {payload} being transcribed")
self._display_progress(payload, "Start transcribing")
# Parse the payload
start_time = time.time()
transcribe_ws = payload.workspace.transcribe_ws
data_files = payload.data_files
num_file = len(data_files)
# Parse the settings
engine_name = payload.get_engine()
init_kwargs = payload.get_engine_init_setting()
transcribe_kwargs = payload.get_engine_transcribe_setting()
logger.info(
f"get transcribed setting engine_name: {engine_name} \
engine initialization setting {init_kwargs} \
engine transcription setting {transcribe_kwargs}"
)
# check for valid engine engine
if not self.engine_manager.is_engine(engine_name):
raise InvalidEngineError(engine_name)
# start to use engine to transcribe files in the payload
utt_map = dict()
threadpool = ThreadPool(DEFULT_NUM_THREAD)
# adding the task to transcribe individual file to the thread
self._display_progress(payload, "Adding Task")
for idx, file in enumerate(data_files):
transcribe_kwargs = copy.deepcopy(transcribe_kwargs)
transcribe_kwargs.update(
{"audio_path": file, "payload_workspace": transcribe_ws}
)
filename = threadpool.add_task(
self._transcribe_single_file,
kwargs={
"engine_name": engine_name,
"init_kwargs": init_kwargs,
"transcribe_kwargs": transcribe_kwargs,
},
key=get_name(file),
)
assert filename == get_name(file)
# add callback function to update the progress bar whenever
# each task is finished
threadpool.add_callback(
filename, lambda fun: self._get_progress_bar(payload, threadpool)
)
# display the initial progress
self._get_progress_bar(payload, threadpool)
# get the task result
for file in data_files:
utt_map[get_name(file)] = threadpool.get_task_result(get_name(file))
# if the transcription result is returned successfully
end_time = time.time()
stats = ProcessingStats(
start_time=start_time,
end_time=end_time,
elapsed_time_sec=end_time - start_time,
)
assert payload.set_transcription_result(utt_map)
assert payload.set_transcription_process_stats(stats)
self._display_progress(payload, ProgressMessage.Transcribed)
except Exception as e:
self._display_progress(payload, ProgressMessage.Error)
logger.error(
f"Failed to transcribed {len(data_files)} file in parallel due to the error {e}",
exc_info=e,
)
threadpool.shutdown(cancel_futures=True)
return False
else:
threadpool.shutdown(cancel_futures=True)
return True
def _log_progress(self):
"""display log messages"""
if self.is_transcribing:
logger.info("transcribing")
timer = threading.Timer(5, self._log_progress)
timer.start()
def _transcribe_single_file(
self, engine_name, init_kwargs, transcribe_kwargs
) -> List[Dict[str, str]]:
"""
Transcribes a file with the given engine
Args:
engine: engine to perform the transcription
init_kwargs: arguments with which to initialize the engine
transcribe_kwargs: arguments with which to initialize the transcription
Return:
the utterances result
"""
engine = self.engine_manager.init_engine(engine_name, **init_kwargs)
utterances = engine.transcribe(**transcribe_kwargs)
return utterances
def __repr__(self):
return "Transcription Component"
def _display_progress(self, payload: PayLoadObject, msg: str):
if payload.progress_display:
payload.progress_display(msg)
def _get_progress_string(self, finished: int, total: int) -> str:
BAR_FILL = "█" # Full block
BAR_EMPTY = " " # Light shade
# Determine the length of the progress bar (50 characters)
bar_length = 20
# Calculate the number of filled and empty blocks in the progress bar
filled_blocks = int(finished / total * bar_length)
percent = "..." if finished == 0 else "{:.2f}%".format(finished / total * 100)
# Construct the progress bar string using Unicode block characters
bar = "Transcribing " + (BAR_FILL * filled_blocks)
# Print the progress bar string
return f"{bar} {percent}"
def _get_progress_bar(self, payload: PayLoadObject, threadpool: ThreadPool):
if payload.progress_display:
progress_str = self._get_progress_string(
threadpool.count_completed_tasks(), threadpool.count_total_tasks()
)
self._display_progress(payload, progress_str) | PypiClean |
/Buildpan_CLI-1.0-py3-none-any.whl/buildpan/deployer.py | import subprocess
import datetime, requests
import json
import os, time
from buildpan import setting
info = setting.info
fetch_log = info["FETCH_LOG_URL"]
def mean_stack(cwd, project_id, repo_name, username):
'''
Deploy MeanStack project
'''
try:
success = False
curtime = datetime.datetime.now()
message = ""
# Reding entrypoint
file_path = os.path.join(cwd,"package.json")
package_file = open(file_path)
project_detail = json.loads(package_file.read())
package_file.close()
# installing all the dependency if packge.json found otherwise genrate error
result_install = subprocess.run(['npm', 'install'] , stdout= subprocess.PIPE, stderr = subprocess.STDOUT, cwd=cwd)
if result_install.returncode:
requests.post(fetch_log + "?" +'project_id='+project_id+'&repo_name='+repo_name+'&Time='+str(curtime)+'&user_name='+username+'&message=deployment = '+str(result_install.stdout.decode())+'&status=failed&operation=deployment')
return success
else:
# if pm2 is not installed installing otherwise update
result_install_pm2 = subprocess.run(['npm','install', 'pm2', '-g'], stdout= subprocess.PIPE, stderr = subprocess.PIPE)
if result_install_pm2.returncode:
requests.post(fetch_log + "?" +'project_id='+project_id+'&repo_name='+repo_name+'&Time='+str(curtime)+'&user_name='+username+'&message=deployment = '+str(result_install.stdout.decode())+'&status=failed&operation=deployment')
return success
else:
# check service status if off start that otherwise reload it
service_status = subprocess.run(['pm2', 'status'], stdout = subprocess.PIPE, stderr = subprocess.STDOUT)
if service_status.stdout.decode().find("online") == -1:
popen_arg = ['pm2', 'start', '--name', project_id, "--namespace", "buildpan", "npm","--", "start"]
result_start = subprocess.run(popen_arg, stdout = subprocess.PIPE, stderr = subprocess.STDOUT, cwd = cwd)
process_fails = result_start.returncode
message = result_start.stdout.decode()
else:
popen_arg = ['pm2', 'reload', project_id]
result_relod = subprocess.run(popen_arg, stdout = subprocess.PIPE, stderr = subprocess.STDOUT, cwd = cwd)
process_fails = result_relod.returncode
message = result_relod.stdout.decode()
if process_fails:
popen_arg = ["pm2", "start", '--name', project_id, "--namespace", "buildpan", "npm","--", "start"]
result_start = subprocess.run(popen_arg, stdout = subprocess.PIPE, stderr = subprocess.STDOUT, cwd = cwd)
process_fails = result_start.returncode
message = result_start.stdout.decode()
if process_fails:
requests.post(fetch_log + "?" +'project_id='+project_id+'&repo_name='+repo_name+'&Time='+str(curtime)+'&user_name='+username+'&message=deployment = '+str(message)+'&status=failed&operation=deployment')
return success
else:
success = True
time.sleep(4)
show = subprocess.run(["pm2", "desc", project_id], stdout= subprocess.PIPE, stderr = subprocess.STDOUT)
decode = show.stdout.decode()
status = decode.find("status")
add = status + 20
msg = decode[add:160].strip()
post_data = fetch_log + "?" +'project_id='+project_id+'&repo_name='+repo_name+'&Time='+str(curtime)+'&user_name='+username+'&message=deployment = '+str(message)+'&status='+str(msg)+'&operation=deployment'
requests.post(post_data)
return success
except Exception as e:
requests.post(fetch_log + "?" +'project_id='+project_id+'&repo_name='+repo_name+'&Time='+str(curtime)+'&user_name='+username+'&message=Exception: deployment = '+str(e)+'&status=failed&operation=deployment')
return False
def script_runer(scripts, path):
'''
Script runner is called when Script under jobs is called in workflow and have some script
that to be executed
'''
success = False
for script in scripts:
script_list = list(script.split(" "))
result = subprocess.run(script_list,stdout=subprocess.PIPE, stderr=subprocess.STDOUT, cwd = path)
print(result.stdout.decode())
if result.returncode:
return success
success = True
return success
# uLA3xQis3 | PypiClean |
/DA-DAPPER-1.2.2.tar.gz/DA-DAPPER-1.2.2/dapper/tools/colors.py |
import builtins
import contextlib
import colorama
import matplotlib as mpl
import numpy as np
# Makes stdout/err color codes work on windows too.
colorama.init()
#########################################
# Colouring for the terminal / console
#########################################
def color_text(text, *color_codes):
"""Color a string for the terminal.
Multiple `color_codes` can be combined.
Look them up in `colorama.Back` and `colorama.Fore`.
Use the single code `None` for no coloring.
"""
c0 = colorama.Style.RESET_ALL
if (not color_codes) or color_codes == ("default",):
cc = [colorama.Style.BRIGHT, colorama.Fore.BLUE]
else:
cc = [getattr(colorama.Fore, c.upper(), c) for c in color_codes if c]
if not cc:
return text
else:
return "".join(cc) + text + c0
@contextlib.contextmanager
def coloring(*color_codes):
"""Color printing using 'with'.
Example:
>>> with coloring(colorama.Fore.GREEN):
... print("--- This is in color ---")
[32m--- This is in color ---[0m
"""
orig_print = builtins.print
def _print(*args, sep=" ", end="\n", flush=True, **kwargs):
# Implemented with a single print statement, so as to
# puts the trailing terminal code before newline.
text = sep.join([str(k) for k in args])
text = color_text(text, *color_codes)
orig_print(text, end=end, flush=flush, **kwargs)
try:
builtins.print = _print
yield
finally:
builtins.print = orig_print
#########################################
# Colouring for matplotlib
#########################################
# Matlab (new) colors.
ml_colors = np.array(
[[0. , 0.447, 0.741],
[0.85 , 0.325, 0.098],
[0.929, 0.694, 0.125],
[0.494, 0.184, 0.556],
[0.466, 0.674, 0.188],
[0.301, 0.745, 0.933],
[0.635, 0.078, 0.184]])
# Load into matplotlib color dictionary
for code, color in zip('boyvgcr', ml_colors):
mpl.colors.ColorConverter.colors['ml'+code] = color
mpl.colors.colorConverter. cache['ml'+code] = color
# Seaborn colors
sns_colors = np.array(
[[0.298, 0.447, 0.69 ],
[0.333, 0.658, 0.407],
[0.768, 0.305, 0.321],
[0.505, 0.447, 0.698],
[0.8 , 0.725, 0.454],
[0.392, 0.709, 0.803],
[0.1 , 0.1 , 0.1 ],
[1. , 1. , 1. ]])
# Overwrite default color codes
for code, color in zip('bgrmyckw', sns_colors):
mpl.colors.colorConverter.colors[code] = color
mpl.colors.colorConverter. cache[code] = color
# MPL colors -- cheat sheet:
# --------------
# Equivalent:
# cmap = plt.get_cmap("tab10")
# cmap = plt.cm.get_cmap("tab10")
# cmap = mpl.cm.get_cmap("tab10")
# cmap = mpl.cm.tab10
# Equivalent:
# c = cmap( cmap.N//2 ) # using int
# c = cmap( .5 ) # using float
# Equivalent:
# clist = cmap.colors # (only for ListedColormap) => 2D tuple,
# clist = cmap(np.arange(0,.9,.1)) # => 2D ndarray
#
# Choosing cmap: https://matplotlib.org/3.3.1/tutorials/colors/colormaps.html
# Color codes: https://matplotlib.org/tutorials/colors/colors.html | PypiClean |
/Flask-Query-0.0.1.tar.gz/Flask-Query-0.0.1/flask_query/BaseQuery.py | class BaseQuery(object):
params = {}
def _formatCondition(self, condition):
"""
格式化where条件
:param condition:
:return:
"""
if not condition:
raise Exception("条件不能为空")
elif isinstance(condition, str):
return condition
elif isinstance(condition, list):
return condition
elif isinstance(condition, dict):
res = []
for key, value in condition.items():
res.append(["=", key, value])
return res
raise Exception("不支持的参数类型{}".format(str(condition)))
def _list_get(self, L, i, v=None):
if -len(L) <= i <= len(L):
return L[i]
else:
return v
def _filterWhere(self, condition):
if not condition or isinstance(condition, str):
return False
if isinstance(condition, dict):
condition = self._filterDict(condition)
if not condition:
return False
if isinstance(condition, list):
if not self._filterList(condition):
return False
return condition
def _filterDict(self, condition: dict):
result = {}
for key, value in condition.items():
if not self._isEmpty(value):
result[key] = value
return result
def _filterList(self, condition: list):
operation = self._formatOperator(condition[0])
if operation == "BETWEEN" or operation == "NOT BETWEEN":
if self._isEmpty(self._list_get(condition, 2)) or self._isEmpty(self._list_get(condition, 3)):
return False
else:
if self._isEmpty(self._list_get(condition, 2)):
return False
return condition
def _isEmpty(self, value):
if value == {} or value == [] or value == () or value == '':
return True
return False
def _dealOperatorWhere(self, name, value, operator="="):
operator = self._formatOperator(operator)
if operator == "=":
where = {name: value}
elif operator in [">", ">=", "<", "<=", "<>", "!=", "IN", "NOT IN"]:
where = [operator, name, value]
else:
raise Exception("不支持的操作符{}".format(str(operator)))
return where
def _formatOperator(self, operator):
return str(operator).strip().upper()
def _formatColumns(self, columns):
if isinstance(columns, list):
result = list(tuple(columns))
elif isinstance(columns, tuple):
result = list(columns)
elif isinstance(columns, str):
result = list(tuple(columns.split(",")))
else:
raise Exception("不支持的类型{}".format(str(type(columns))))
return result
def getUpdateConditionParams(self, condition):
params = []
if isinstance(condition, dict):
for key, value in condition.items():
params.append(value)
if isinstance(condition, list):
for item in condition:
if isinstance(item, dict):
for key, value in item.items():
params.append(value)
if isinstance(item, list):
params.append(item[2])
return params | PypiClean |
/Enarksh-0.9.0.tar.gz/Enarksh-0.9.0/enarksh/event/Event.py | import weakref
class Event:
"""
Class for events.
"""
# ------------------------------------------------------------------------------------------------------------------
event_controller = None
"""
The event controller.
:type: None|enarksh.event.EventController.EventController
"""
# ------------------------------------------------------------------------------------------------------------------
def __init__(self, source):
"""
Object constructor.
:param T source: The object that generates this event.
"""
self._source = source
"""
The object that generates this event.
:type: enarksh.event.EventActor.EventActor
"""
self.ref = weakref.ref(self, Event.event_controller.internal_unregister_event_ref)
"""
The weak reference to this event.
:type: weakref
"""
# Register this event as an event in the current program.
Event.event_controller.internal_register_event(self)
# ------------------------------------------------------------------------------------------------------------------
@property
def source(self):
"""
Returns the object that fires this event.
:rtype: enarksh.event.EventActor.EventActor
"""
return self._source
# ------------------------------------------------------------------------------------------------------------------
def fire(self, event_data=None):
"""
Fires this event. That is, the event is put on the event queue of the event controller.
Normally this method is called by the source of this event.
:param * event_data: Additional data supplied by the event source.
"""
Event.event_controller.internal_queue_event(self, event_data)
# ------------------------------------------------------------------------------------------------------------------
def register_listener(self, listener, listener_data=None):
"""
Registers an object as a listener for this event.
:param callable listener: An object that listen for an event.
:param * listener_data: Additional data supplied by the listener destination.
"""
Event.event_controller.internal_register_listener(self, listener, listener_data)
# ---------------------------------------------------------------------------------------------------------------------- | PypiClean |
/Netzob-2.0.0.tar.gz/Netzob-2.0.0/src/netzob/Model/Vocabulary/Domain/Parser/all.py |
#+---------------------------------------------------------------------------+
#| 01001110 01100101 01110100 01111010 01101111 01100010 |
#| |
#| Netzob : Inferring communication protocols |
#+---------------------------------------------------------------------------+
#| Copyright (C) 2011-2017 Georges Bossert and Frédéric Guihéry |
#| This program is free software: you can redistribute it and/or modify |
#| it under the terms of the GNU General Public License as published by |
#| the Free Software Foundation, either version 3 of the License, or |
#| (at your option) any later version. |
#| |
#| This program is distributed in the hope that it will be useful, |
#| but WITHOUT ANY WARRANTY; without even the implied warranty of |
#| MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the |
#| GNU General Public License for more details. |
#| |
#| You should have received a copy of the GNU General Public License |
#| along with this program. If not, see <http://www.gnu.org/licenses/>. |
#+---------------------------------------------------------------------------+
#| @url : http://www.netzob.org |
#| @contact : contact@netzob.org |
#| @sponsors : Amossys, http://www.amossys.fr |
#| Supélec, http://www.rennes.supelec.fr/ren/rd/cidre/ |
#+---------------------------------------------------------------------------+
# List subpackages to import with the current one
# see docs.python.org/2/tutorial/modules.html
from netzob.Model.Vocabulary.Domain.Parser.FieldParser import FieldParser
from netzob.Model.Vocabulary.Domain.Parser.VariableParser import VariableParser
from netzob.Model.Vocabulary.Domain.Parser.MessageParser import MessageParser
from netzob.Model.Vocabulary.Domain.Parser.FlowParser import FlowParser | PypiClean |
/InvokeAI-3.1.0-py3-none-any.whl/invokeai/backend/stable_diffusion/image_degradation/utils_image.py | import math
import os
import random
from datetime import datetime
import cv2
import numpy as np
import torch
from torchvision.utils import make_grid
import invokeai.backend.util.logging as logger
os.environ["KMP_DUPLICATE_LIB_OK"] = "TRUE"
"""
# --------------------------------------------
# Kai Zhang (github: https://github.com/cszn)
# 03/Mar/2019
# --------------------------------------------
# https://github.com/twhui/SRGAN-pyTorch
# https://github.com/xinntao/BasicSR
# --------------------------------------------
"""
IMG_EXTENSIONS = [
".jpg",
".JPG",
".jpeg",
".JPEG",
".png",
".PNG",
".ppm",
".PPM",
".bmp",
".BMP",
".tif",
]
def is_image_file(filename):
return any(filename.endswith(extension) for extension in IMG_EXTENSIONS)
def get_timestamp():
return datetime.now().strftime("%y%m%d-%H%M%S")
def imshow(x, title=None, cbar=False, figsize=None):
import matplotlib.pyplot as plt
plt.figure(figsize=figsize)
plt.imshow(np.squeeze(x), interpolation="nearest", cmap="gray")
if title:
plt.title(title)
if cbar:
plt.colorbar()
plt.show()
def surf(Z, cmap="rainbow", figsize=None):
import matplotlib.pyplot as plt
plt.figure(figsize=figsize)
ax3 = plt.axes(projection="3d")
w, h = Z.shape[:2]
xx = np.arange(0, w, 1)
yy = np.arange(0, h, 1)
X, Y = np.meshgrid(xx, yy)
ax3.plot_surface(X, Y, Z, cmap=cmap)
# ax3.contour(X,Y,Z, zdim='z',offset=-2，cmap=cmap)
plt.show()
"""
# --------------------------------------------
# get image pathes
# --------------------------------------------
"""
def get_image_paths(dataroot):
paths = None # return None if dataroot is None
if dataroot is not None:
paths = sorted(_get_paths_from_images(dataroot))
return paths
def _get_paths_from_images(path):
assert os.path.isdir(path), "{:s} is not a valid directory".format(path)
images = []
for dirpath, _, fnames in sorted(os.walk(path, followlinks=True)):
for fname in sorted(fnames):
if is_image_file(fname):
img_path = os.path.join(dirpath, fname)
images.append(img_path)
assert images, "{:s} has no valid image file".format(path)
return images
"""
# --------------------------------------------
# split large images into small images
# --------------------------------------------
"""
def patches_from_image(img, p_size=512, p_overlap=64, p_max=800):
w, h = img.shape[:2]
patches = []
if w > p_max and h > p_max:
w1 = list(np.arange(0, w - p_size, p_size - p_overlap, dtype=np.int))
h1 = list(np.arange(0, h - p_size, p_size - p_overlap, dtype=np.int))
w1.append(w - p_size)
h1.append(h - p_size)
# print(w1)
# print(h1)
for i in w1:
for j in h1:
patches.append(img[i : i + p_size, j : j + p_size, :])
else:
patches.append(img)
return patches
def imssave(imgs, img_path):
"""
imgs: list, N images of size WxHxC
"""
img_name, ext = os.path.splitext(os.path.basename(img_path))
for i, img in enumerate(imgs):
if img.ndim == 3:
img = img[:, :, [2, 1, 0]]
new_path = os.path.join(
os.path.dirname(img_path),
img_name + str("_s{:04d}".format(i)) + ".png",
)
cv2.imwrite(new_path, img)
def split_imageset(
original_dataroot,
taget_dataroot,
n_channels=3,
p_size=800,
p_overlap=96,
p_max=1000,
):
"""
split the large images from original_dataroot into small overlapped images with size (p_size)x(p_size),
and save them into taget_dataroot; only the images with larger size than (p_max)x(p_max)
will be splitted.
Args:
original_dataroot:
taget_dataroot:
p_size: size of small images
p_overlap: patch size in training is a good choice
p_max: images with smaller size than (p_max)x(p_max) keep unchanged.
"""
paths = get_image_paths(original_dataroot)
for img_path in paths:
# img_name, ext = os.path.splitext(os.path.basename(img_path))
img = imread_uint(img_path, n_channels=n_channels)
patches = patches_from_image(img, p_size, p_overlap, p_max)
imssave(patches, os.path.join(taget_dataroot, os.path.basename(img_path)))
# if original_dataroot == taget_dataroot:
# del img_path
"""
# --------------------------------------------
# makedir
# --------------------------------------------
"""
def mkdir(path):
if not os.path.exists(path):
os.makedirs(path)
def mkdirs(paths):
if isinstance(paths, str):
mkdir(paths)
else:
for path in paths:
mkdir(path)
def mkdir_and_rename(path):
if os.path.exists(path):
new_name = path + "_archived_" + get_timestamp()
logger.error("Path already exists. Rename it to [{:s}]".format(new_name))
os.replace(path, new_name)
os.makedirs(path)
"""
# --------------------------------------------
# read image from path
# opencv is fast, but read BGR numpy image
# --------------------------------------------
"""
# --------------------------------------------
# get uint8 image of size HxWxn_channles (RGB)
# --------------------------------------------
def imread_uint(path, n_channels=3):
# input: path
# output: HxWx3(RGB or GGG), or HxWx1 (G)
if n_channels == 1:
img = cv2.imread(path, 0) # cv2.IMREAD_GRAYSCALE
img = np.expand_dims(img, axis=2) # HxWx1
elif n_channels == 3:
img = cv2.imread(path, cv2.IMREAD_UNCHANGED) # BGR or G
if img.ndim == 2:
img = cv2.cvtColor(img, cv2.COLOR_GRAY2RGB) # GGG
else:
img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB) # RGB
return img
# --------------------------------------------
# matlab's imwrite
# --------------------------------------------
def imsave(img, img_path):
img = np.squeeze(img)
if img.ndim == 3:
img = img[:, :, [2, 1, 0]]
cv2.imwrite(img_path, img)
def imwrite(img, img_path):
img = np.squeeze(img)
if img.ndim == 3:
img = img[:, :, [2, 1, 0]]
cv2.imwrite(img_path, img)
# --------------------------------------------
# get single image of size HxWxn_channles (BGR)
# --------------------------------------------
def read_img(path):
# read image by cv2
# return: Numpy float32, HWC, BGR, [0,1]
img = cv2.imread(path, cv2.IMREAD_UNCHANGED) # cv2.IMREAD_GRAYSCALE
img = img.astype(np.float32) / 255.0
if img.ndim == 2:
img = np.expand_dims(img, axis=2)
# some images have 4 channels
if img.shape[2] > 3:
img = img[:, :, :3]
return img
"""
# --------------------------------------------
# image format conversion
# --------------------------------------------
# numpy(single) <---> numpy(unit)
# numpy(single) <---> tensor
# numpy(unit) <---> tensor
# --------------------------------------------
"""
# --------------------------------------------
# numpy(single) [0, 1] <---> numpy(unit)
# --------------------------------------------
def uint2single(img):
return np.float32(img / 255.0)
def single2uint(img):
return np.uint8((img.clip(0, 1) * 255.0).round())
def uint162single(img):
return np.float32(img / 65535.0)
def single2uint16(img):
return np.uint16((img.clip(0, 1) * 65535.0).round())
# --------------------------------------------
# numpy(unit) (HxWxC or HxW) <---> tensor
# --------------------------------------------
# convert uint to 4-dimensional torch tensor
def uint2tensor4(img):
if img.ndim == 2:
img = np.expand_dims(img, axis=2)
return torch.from_numpy(np.ascontiguousarray(img)).permute(2, 0, 1).float().div(255.0).unsqueeze(0)
# convert uint to 3-dimensional torch tensor
def uint2tensor3(img):
if img.ndim == 2:
img = np.expand_dims(img, axis=2)
return torch.from_numpy(np.ascontiguousarray(img)).permute(2, 0, 1).float().div(255.0)
# convert 2/3/4-dimensional torch tensor to uint
def tensor2uint(img):
img = img.data.squeeze().float().clamp_(0, 1).cpu().numpy()
if img.ndim == 3:
img = np.transpose(img, (1, 2, 0))
return np.uint8((img * 255.0).round())
# --------------------------------------------
# numpy(single) (HxWxC) <---> tensor
# --------------------------------------------
# convert single (HxWxC) to 3-dimensional torch tensor
def single2tensor3(img):
return torch.from_numpy(np.ascontiguousarray(img)).permute(2, 0, 1).float()
# convert single (HxWxC) to 4-dimensional torch tensor
def single2tensor4(img):
return torch.from_numpy(np.ascontiguousarray(img)).permute(2, 0, 1).float().unsqueeze(0)
# convert torch tensor to single
def tensor2single(img):
img = img.data.squeeze().float().cpu().numpy()
if img.ndim == 3:
img = np.transpose(img, (1, 2, 0))
return img
# convert torch tensor to single
def tensor2single3(img):
img = img.data.squeeze().float().cpu().numpy()
if img.ndim == 3:
img = np.transpose(img, (1, 2, 0))
elif img.ndim == 2:
img = np.expand_dims(img, axis=2)
return img
def single2tensor5(img):
return torch.from_numpy(np.ascontiguousarray(img)).permute(2, 0, 1, 3).float().unsqueeze(0)
def single32tensor5(img):
return torch.from_numpy(np.ascontiguousarray(img)).float().unsqueeze(0).unsqueeze(0)
def single42tensor4(img):
return torch.from_numpy(np.ascontiguousarray(img)).permute(2, 0, 1, 3).float()
# from skimage.io import imread, imsave
def tensor2img(tensor, out_type=np.uint8, min_max=(0, 1)):
"""
Converts a torch Tensor into an image Numpy array of BGR channel order
Input: 4D(B,(3/1),H,W), 3D(C,H,W), or 2D(H,W), any range, RGB channel order
Output: 3D(H,W,C) or 2D(H,W), [0,255], np.uint8 (default)
"""
tensor = tensor.squeeze().float().cpu().clamp_(*min_max) # squeeze first, then clamp
tensor = (tensor - min_max[0]) / (min_max[1] - min_max[0]) # to range [0,1]
n_dim = tensor.dim()
if n_dim == 4:
n_img = len(tensor)
img_np = make_grid(tensor, nrow=int(math.sqrt(n_img)), normalize=False).numpy()
img_np = np.transpose(img_np[[2, 1, 0], :, :], (1, 2, 0)) # HWC, BGR
elif n_dim == 3:
img_np = tensor.numpy()
img_np = np.transpose(img_np[[2, 1, 0], :, :], (1, 2, 0)) # HWC, BGR
elif n_dim == 2:
img_np = tensor.numpy()
else:
raise TypeError("Only support 4D, 3D and 2D tensor. But received with dimension: {:d}".format(n_dim))
if out_type == np.uint8:
img_np = (img_np * 255.0).round()
# Important. Unlike matlab, numpy.unit8() WILL NOT round by default.
return img_np.astype(out_type)
"""
# --------------------------------------------
# Augmentation, flipe and/or rotate
# --------------------------------------------
# The following two are enough.
# (1) augmet_img: numpy image of WxHxC or WxH
# (2) augment_img_tensor4: tensor image 1xCxWxH
# --------------------------------------------
"""
def augment_img(img, mode=0):
"""Kai Zhang (github: https://github.com/cszn)"""
if mode == 0:
return img
elif mode == 1:
return np.flipud(np.rot90(img))
elif mode == 2:
return np.flipud(img)
elif mode == 3:
return np.rot90(img, k=3)
elif mode == 4:
return np.flipud(np.rot90(img, k=2))
elif mode == 5:
return np.rot90(img)
elif mode == 6:
return np.rot90(img, k=2)
elif mode == 7:
return np.flipud(np.rot90(img, k=3))
def augment_img_tensor4(img, mode=0):
"""Kai Zhang (github: https://github.com/cszn)"""
if mode == 0:
return img
elif mode == 1:
return img.rot90(1, [2, 3]).flip([2])
elif mode == 2:
return img.flip([2])
elif mode == 3:
return img.rot90(3, [2, 3])
elif mode == 4:
return img.rot90(2, [2, 3]).flip([2])
elif mode == 5:
return img.rot90(1, [2, 3])
elif mode == 6:
return img.rot90(2, [2, 3])
elif mode == 7:
return img.rot90(3, [2, 3]).flip([2])
def augment_img_tensor(img, mode=0):
"""Kai Zhang (github: https://github.com/cszn)"""
img_size = img.size()
img_np = img.data.cpu().numpy()
if len(img_size) == 3:
img_np = np.transpose(img_np, (1, 2, 0))
elif len(img_size) == 4:
img_np = np.transpose(img_np, (2, 3, 1, 0))
img_np = augment_img(img_np, mode=mode)
img_tensor = torch.from_numpy(np.ascontiguousarray(img_np))
if len(img_size) == 3:
img_tensor = img_tensor.permute(2, 0, 1)
elif len(img_size) == 4:
img_tensor = img_tensor.permute(3, 2, 0, 1)
return img_tensor.type_as(img)
def augment_img_np3(img, mode=0):
if mode == 0:
return img
elif mode == 1:
return img.transpose(1, 0, 2)
elif mode == 2:
return img[::-1, :, :]
elif mode == 3:
img = img[::-1, :, :]
img = img.transpose(1, 0, 2)
return img
elif mode == 4:
return img[:, ::-1, :]
elif mode == 5:
img = img[:, ::-1, :]
img = img.transpose(1, 0, 2)
return img
elif mode == 6:
img = img[:, ::-1, :]
img = img[::-1, :, :]
return img
elif mode == 7:
img = img[:, ::-1, :]
img = img[::-1, :, :]
img = img.transpose(1, 0, 2)
return img
def augment_imgs(img_list, hflip=True, rot=True):
# horizontal flip OR rotate
hflip = hflip and random.random() < 0.5
vflip = rot and random.random() < 0.5
rot90 = rot and random.random() < 0.5
def _augment(img):
if hflip:
img = img[:, ::-1, :]
if vflip:
img = img[::-1, :, :]
if rot90:
img = img.transpose(1, 0, 2)
return img
return [_augment(img) for img in img_list]
"""
# --------------------------------------------
# modcrop and shave
# --------------------------------------------
"""
def modcrop(img_in, scale):
# img_in: Numpy, HWC or HW
img = np.copy(img_in)
if img.ndim == 2:
H, W = img.shape
H_r, W_r = H % scale, W % scale
img = img[: H - H_r, : W - W_r]
elif img.ndim == 3:
H, W, C = img.shape
H_r, W_r = H % scale, W % scale
img = img[: H - H_r, : W - W_r, :]
else:
raise ValueError("Wrong img ndim: [{:d}].".format(img.ndim))
return img
def shave(img_in, border=0):
# img_in: Numpy, HWC or HW
img = np.copy(img_in)
h, w = img.shape[:2]
img = img[border : h - border, border : w - border]
return img
"""
# --------------------------------------------
# image processing process on numpy image
# channel_convert(in_c, tar_type, img_list):
# rgb2ycbcr(img, only_y=True):
# bgr2ycbcr(img, only_y=True):
# ycbcr2rgb(img):
# --------------------------------------------
"""
def rgb2ycbcr(img, only_y=True):
"""same as matlab rgb2ycbcr
only_y: only return Y channel
Input:
uint8, [0, 255]
float, [0, 1]
"""
in_img_type = img.dtype
img.astype(np.float32)
if in_img_type != np.uint8:
img *= 255.0
# convert
if only_y:
rlt = np.dot(img, [65.481, 128.553, 24.966]) / 255.0 + 16.0
else:
rlt = (
np.matmul(
img,
[
[65.481, -37.797, 112.0],
[128.553, -74.203, -93.786],
[24.966, 112.0, -18.214],
],
)
/ 255.0
+ [16, 128, 128]
)
if in_img_type == np.uint8:
rlt = rlt.round()
else:
rlt /= 255.0
return rlt.astype(in_img_type)
def ycbcr2rgb(img):
"""same as matlab ycbcr2rgb
Input:
uint8, [0, 255]
float, [0, 1]
"""
in_img_type = img.dtype
img.astype(np.float32)
if in_img_type != np.uint8:
img *= 255.0
# convert
rlt = (
np.matmul(
img,
[
[0.00456621, 0.00456621, 0.00456621],
[0, -0.00153632, 0.00791071],
[0.00625893, -0.00318811, 0],
],
)
* 255.0
+ [-222.921, 135.576, -276.836]
)
if in_img_type == np.uint8:
rlt = rlt.round()
else:
rlt /= 255.0
return rlt.astype(in_img_type)
def bgr2ycbcr(img, only_y=True):
"""bgr version of rgb2ycbcr
only_y: only return Y channel
Input:
uint8, [0, 255]
float, [0, 1]
"""
in_img_type = img.dtype
img.astype(np.float32)
if in_img_type != np.uint8:
img *= 255.0
# convert
if only_y:
rlt = np.dot(img, [24.966, 128.553, 65.481]) / 255.0 + 16.0
else:
rlt = (
np.matmul(
img,
[
[24.966, 112.0, -18.214],
[128.553, -74.203, -93.786],
[65.481, -37.797, 112.0],
],
)
/ 255.0
+ [16, 128, 128]
)
if in_img_type == np.uint8:
rlt = rlt.round()
else:
rlt /= 255.0
return rlt.astype(in_img_type)
def channel_convert(in_c, tar_type, img_list):
# conversion among BGR, gray and y
if in_c == 3 and tar_type == "gray": # BGR to gray
gray_list = [cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) for img in img_list]
return [np.expand_dims(img, axis=2) for img in gray_list]
elif in_c == 3 and tar_type == "y": # BGR to y
y_list = [bgr2ycbcr(img, only_y=True) for img in img_list]
return [np.expand_dims(img, axis=2) for img in y_list]
elif in_c == 1 and tar_type == "RGB": # gray/y to BGR
return [cv2.cvtColor(img, cv2.COLOR_GRAY2BGR) for img in img_list]
else:
return img_list
"""
# --------------------------------------------
# metric, PSNR and SSIM
# --------------------------------------------
"""
# --------------------------------------------
# PSNR
# --------------------------------------------
def calculate_psnr(img1, img2, border=0):
# img1 and img2 have range [0, 255]
# img1 = img1.squeeze()
# img2 = img2.squeeze()
if not img1.shape == img2.shape:
raise ValueError("Input images must have the same dimensions.")
h, w = img1.shape[:2]
img1 = img1[border : h - border, border : w - border]
img2 = img2[border : h - border, border : w - border]
img1 = img1.astype(np.float64)
img2 = img2.astype(np.float64)
mse = np.mean((img1 - img2) ** 2)
if mse == 0:
return float("inf")
return 20 * math.log10(255.0 / math.sqrt(mse))
# --------------------------------------------
# SSIM
# --------------------------------------------
def calculate_ssim(img1, img2, border=0):
"""calculate SSIM
the same outputs as MATLAB's
img1, img2: [0, 255]
"""
# img1 = img1.squeeze()
# img2 = img2.squeeze()
if not img1.shape == img2.shape:
raise ValueError("Input images must have the same dimensions.")
h, w = img1.shape[:2]
img1 = img1[border : h - border, border : w - border]
img2 = img2[border : h - border, border : w - border]
if img1.ndim == 2:
return ssim(img1, img2)
elif img1.ndim == 3:
if img1.shape[2] == 3:
ssims = []
for i in range(3):
ssims.append(ssim(img1[:, :, i], img2[:, :, i]))
return np.array(ssims).mean()
elif img1.shape[2] == 1:
return ssim(np.squeeze(img1), np.squeeze(img2))
else:
raise ValueError("Wrong input image dimensions.")
def ssim(img1, img2):
C1 = (0.01 * 255) ** 2
C2 = (0.03 * 255) ** 2
img1 = img1.astype(np.float64)
img2 = img2.astype(np.float64)
kernel = cv2.getGaussianKernel(11, 1.5)
window = np.outer(kernel, kernel.transpose())
mu1 = cv2.filter2D(img1, -1, window)[5:-5, 5:-5] # valid
mu2 = cv2.filter2D(img2, -1, window)[5:-5, 5:-5]
mu1_sq = mu1 ** 2
mu2_sq = mu2 ** 2
mu1_mu2 = mu1 * mu2
sigma1_sq = cv2.filter2D(img1 ** 2, -1, window)[5:-5, 5:-5] - mu1_sq
sigma2_sq = cv2.filter2D(img2 ** 2, -1, window)[5:-5, 5:-5] - mu2_sq
sigma12 = cv2.filter2D(img1 * img2, -1, window)[5:-5, 5:-5] - mu1_mu2
ssim_map = ((2 * mu1_mu2 + C1) * (2 * sigma12 + C2)) / ((mu1_sq + mu2_sq + C1) * (sigma1_sq + sigma2_sq + C2))
return ssim_map.mean()
"""
# --------------------------------------------
# matlab's bicubic imresize (numpy and torch) [0, 1]
# --------------------------------------------
"""
# matlab 'imresize' function, now only support 'bicubic'
def cubic(x):
absx = torch.abs(x)
absx2 = absx ** 2
absx3 = absx ** 3
return (1.5 * absx3 - 2.5 * absx2 + 1) * ((absx <= 1).type_as(absx)) + (
-0.5 * absx3 + 2.5 * absx2 - 4 * absx + 2
) * (((absx > 1) * (absx <= 2)).type_as(absx))
def calculate_weights_indices(in_length, out_length, scale, kernel, kernel_width, antialiasing):
if (scale < 1) and (antialiasing):
# Use a modified kernel to simultaneously interpolate and antialias- larger kernel width
kernel_width = kernel_width / scale
# Output-space coordinates
x = torch.linspace(1, out_length, out_length)
# Input-space coordinates. Calculate the inverse mapping such that 0.5
# in output space maps to 0.5 in input space, and 0.5+scale in output
# space maps to 1.5 in input space.
u = x / scale + 0.5 * (1 - 1 / scale)
# What is the left-most pixel that can be involved in the computation?
left = torch.floor(u - kernel_width / 2)
# What is the maximum number of pixels that can be involved in the
# computation? Note: it's OK to use an extra pixel here; if the
# corresponding weights are all zero, it will be eliminated at the end
# of this function.
P = math.ceil(kernel_width) + 2
# The indices of the input pixels involved in computing the k-th output
# pixel are in row k of the indices matrix.
indices = left.view(out_length, 1).expand(out_length, P) + torch.linspace(0, P - 1, P).view(1, P).expand(
out_length, P
)
# The weights used to compute the k-th output pixel are in row k of the
# weights matrix.
distance_to_center = u.view(out_length, 1).expand(out_length, P) - indices
# apply cubic kernel
if (scale < 1) and (antialiasing):
weights = scale * cubic(distance_to_center * scale)
else:
weights = cubic(distance_to_center)
# Normalize the weights matrix so that each row sums to 1.
weights_sum = torch.sum(weights, 1).view(out_length, 1)
weights = weights / weights_sum.expand(out_length, P)
# If a column in weights is all zero, get rid of it. only consider the first and last column.
weights_zero_tmp = torch.sum((weights == 0), 0)
if not math.isclose(weights_zero_tmp[0], 0, rel_tol=1e-6):
indices = indices.narrow(1, 1, P - 2)
weights = weights.narrow(1, 1, P - 2)
if not math.isclose(weights_zero_tmp[-1], 0, rel_tol=1e-6):
indices = indices.narrow(1, 0, P - 2)
weights = weights.narrow(1, 0, P - 2)
weights = weights.contiguous()
indices = indices.contiguous()
sym_len_s = -indices.min() + 1
sym_len_e = indices.max() - in_length
indices = indices + sym_len_s - 1
return weights, indices, int(sym_len_s), int(sym_len_e)
# --------------------------------------------
# imresize for tensor image [0, 1]
# --------------------------------------------
def imresize(img, scale, antialiasing=True):
# Now the scale should be the same for H and W
# input: img: pytorch tensor, CHW or HW [0,1]
# output: CHW or HW [0,1] w/o round
need_squeeze = True if img.dim() == 2 else False
if need_squeeze:
img.unsqueeze_(0)
in_C, in_H, in_W = img.size()
out_C, out_H, out_W = (
in_C,
math.ceil(in_H * scale),
math.ceil(in_W * scale),
)
kernel_width = 4
kernel = "cubic"
# Return the desired dimension order for performing the resize. The
# strategy is to perform the resize first along the dimension with the
# smallest scale factor.
# Now we do not support this.
# get weights and indices
weights_H, indices_H, sym_len_Hs, sym_len_He = calculate_weights_indices(
in_H, out_H, scale, kernel, kernel_width, antialiasing
)
weights_W, indices_W, sym_len_Ws, sym_len_We = calculate_weights_indices(
in_W, out_W, scale, kernel, kernel_width, antialiasing
)
# process H dimension
# symmetric copying
img_aug = torch.FloatTensor(in_C, in_H + sym_len_Hs + sym_len_He, in_W)
img_aug.narrow(1, sym_len_Hs, in_H).copy_(img)
sym_patch = img[:, :sym_len_Hs, :]
inv_idx = torch.arange(sym_patch.size(1) - 1, -1, -1).long()
sym_patch_inv = sym_patch.index_select(1, inv_idx)
img_aug.narrow(1, 0, sym_len_Hs).copy_(sym_patch_inv)
sym_patch = img[:, -sym_len_He:, :]
inv_idx = torch.arange(sym_patch.size(1) - 1, -1, -1).long()
sym_patch_inv = sym_patch.index_select(1, inv_idx)
img_aug.narrow(1, sym_len_Hs + in_H, sym_len_He).copy_(sym_patch_inv)
out_1 = torch.FloatTensor(in_C, out_H, in_W)
kernel_width = weights_H.size(1)
for i in range(out_H):
idx = int(indices_H[i][0])
for j in range(out_C):
out_1[j, i, :] = img_aug[j, idx : idx + kernel_width, :].transpose(0, 1).mv(weights_H[i])
# process W dimension
# symmetric copying
out_1_aug = torch.FloatTensor(in_C, out_H, in_W + sym_len_Ws + sym_len_We)
out_1_aug.narrow(2, sym_len_Ws, in_W).copy_(out_1)
sym_patch = out_1[:, :, :sym_len_Ws]
inv_idx = torch.arange(sym_patch.size(2) - 1, -1, -1).long()
sym_patch_inv = sym_patch.index_select(2, inv_idx)
out_1_aug.narrow(2, 0, sym_len_Ws).copy_(sym_patch_inv)
sym_patch = out_1[:, :, -sym_len_We:]
inv_idx = torch.arange(sym_patch.size(2) - 1, -1, -1).long()
sym_patch_inv = sym_patch.index_select(2, inv_idx)
out_1_aug.narrow(2, sym_len_Ws + in_W, sym_len_We).copy_(sym_patch_inv)
out_2 = torch.FloatTensor(in_C, out_H, out_W)
kernel_width = weights_W.size(1)
for i in range(out_W):
idx = int(indices_W[i][0])
for j in range(out_C):
out_2[j, :, i] = out_1_aug[j, :, idx : idx + kernel_width].mv(weights_W[i])
if need_squeeze:
out_2.squeeze_()
return out_2
# --------------------------------------------
# imresize for numpy image [0, 1]
# --------------------------------------------
def imresize_np(img, scale, antialiasing=True):
# Now the scale should be the same for H and W
# input: img: Numpy, HWC or HW [0,1]
# output: HWC or HW [0,1] w/o round
img = torch.from_numpy(img)
need_squeeze = True if img.dim() == 2 else False
if need_squeeze:
img.unsqueeze_(2)
in_H, in_W, in_C = img.size()
out_C, out_H, out_W = (
in_C,
math.ceil(in_H * scale),
math.ceil(in_W * scale),
)
kernel_width = 4
kernel = "cubic"
# Return the desired dimension order for performing the resize. The
# strategy is to perform the resize first along the dimension with the
# smallest scale factor.
# Now we do not support this.
# get weights and indices
weights_H, indices_H, sym_len_Hs, sym_len_He = calculate_weights_indices(
in_H, out_H, scale, kernel, kernel_width, antialiasing
)
weights_W, indices_W, sym_len_Ws, sym_len_We = calculate_weights_indices(
in_W, out_W, scale, kernel, kernel_width, antialiasing
)
# process H dimension
# symmetric copying
img_aug = torch.FloatTensor(in_H + sym_len_Hs + sym_len_He, in_W, in_C)
img_aug.narrow(0, sym_len_Hs, in_H).copy_(img)
sym_patch = img[:sym_len_Hs, :, :]
inv_idx = torch.arange(sym_patch.size(0) - 1, -1, -1).long()
sym_patch_inv = sym_patch.index_select(0, inv_idx)
img_aug.narrow(0, 0, sym_len_Hs).copy_(sym_patch_inv)
sym_patch = img[-sym_len_He:, :, :]
inv_idx = torch.arange(sym_patch.size(0) - 1, -1, -1).long()
sym_patch_inv = sym_patch.index_select(0, inv_idx)
img_aug.narrow(0, sym_len_Hs + in_H, sym_len_He).copy_(sym_patch_inv)
out_1 = torch.FloatTensor(out_H, in_W, in_C)
kernel_width = weights_H.size(1)
for i in range(out_H):
idx = int(indices_H[i][0])
for j in range(out_C):
out_1[i, :, j] = img_aug[idx : idx + kernel_width, :, j].transpose(0, 1).mv(weights_H[i])
# process W dimension
# symmetric copying
out_1_aug = torch.FloatTensor(out_H, in_W + sym_len_Ws + sym_len_We, in_C)
out_1_aug.narrow(1, sym_len_Ws, in_W).copy_(out_1)
sym_patch = out_1[:, :sym_len_Ws, :]
inv_idx = torch.arange(sym_patch.size(1) - 1, -1, -1).long()
sym_patch_inv = sym_patch.index_select(1, inv_idx)
out_1_aug.narrow(1, 0, sym_len_Ws).copy_(sym_patch_inv)
sym_patch = out_1[:, -sym_len_We:, :]
inv_idx = torch.arange(sym_patch.size(1) - 1, -1, -1).long()
sym_patch_inv = sym_patch.index_select(1, inv_idx)
out_1_aug.narrow(1, sym_len_Ws + in_W, sym_len_We).copy_(sym_patch_inv)
out_2 = torch.FloatTensor(out_H, out_W, in_C)
kernel_width = weights_W.size(1)
for i in range(out_W):
idx = int(indices_W[i][0])
for j in range(out_C):
out_2[:, i, j] = out_1_aug[:, idx : idx + kernel_width, j].mv(weights_W[i])
if need_squeeze:
out_2.squeeze_()
return out_2.numpy()
if __name__ == "__main__":
print("---")
# img = imread_uint('test.bmp', 3)
# img = uint2single(img)
# img_bicubic = imresize_np(img, 1/4) | PypiClean |
/COMPAS-1.17.5.tar.gz/COMPAS-1.17.5/src/compas/geometry/primitives/vector.py | from __future__ import print_function
from __future__ import absolute_import
from __future__ import division
from compas import PRECISION
from compas.geometry import length_vector
from compas.geometry import cross_vectors
from compas.geometry import subtract_vectors
from compas.geometry import dot_vectors
from compas.geometry import angle_vectors
from compas.geometry import angle_vectors_signed
from compas.geometry import angles_vectors
from compas.geometry import transform_vectors
from compas.geometry.primitives import Primitive
class Vector(Primitive):
"""A vector is defined by XYZ components and a homogenisation factor.
Parameters
----------
x : float
The X component of the vector.
y : float
The Y component of the vector.
z : float
The Z component of the vector.
Attributes
----------
x : float
The X coordinate of the point.
y : float
The Y coordinate of the point.
z : float
The Z coordinate of the point.
length : float, read-only
The length of this vector.
Examples
--------
>>> u = Vector(1, 0, 0)
>>> v = Vector(0, 1, 0)
>>> u
Vector(1.000, 0.000, 0.000)
>>> v
Vector(0.000, 1.000, 0.000)
>>> u.x
1.0
>>> u[0]
1.0
>>> u.length
1.0
>>> u + v
Vector(1.000, 1.000, 0.000)
>>> u + [0.0, 1.0, 0.0]
Vector(1.000, 1.000, 0.000)
>>> u * 2
Vector(2.000, 0.000, 0.000)
>>> u.dot(v)
0.0
>>> u.cross(v)
Vector(0.000, 0.000, 1.000)
"""
__slots__ = ["_x", "_y", "_z"]
def __init__(self, x, y, z=0.0, **kwargs):
super(Vector, self).__init__(**kwargs)
self._x = 0.0
self._y = 0.0
self._z = 0.0
self.x = x
self.y = y
self.z = z
# ==========================================================================
# data
# ==========================================================================
@property
def DATASCHEMA(self):
""":class:`schema.Schema` : Schema of the data representation."""
from schema import Schema
from compas.data import is_float3
return Schema(is_float3)
@property
def JSONSCHEMANAME(self):
"""str : Name of the schema of the data representation in JSON format."""
return "vector"
@property
def data(self):
"""dict : The data dictionary that represents the vector."""
return list(self)
@data.setter
def data(self, data):
self.x = data[0]
self.y = data[1]
self.z = data[2]
@classmethod
def from_data(cls, data):
"""Construct a vector from a data dict.
Parameters
----------
data : dict
The data dictionary.
Returns
-------
:class:`~compas.geometry.Vector`
The vector constructed from the provided data.
Examples
--------
>>> Vector.from_data([0.0, 0.0, 1.0])
Vector(0.000, 0.000, 1.000)
"""
return cls(*data)
# ==========================================================================
# properties
# ==========================================================================
@property
def x(self):
return self._x
@x.setter
def x(self, x):
self._x = float(x)
@property
def y(self):
return self._y
@y.setter
def y(self, y):
self._y = float(y)
@property
def z(self):
return self._z
@z.setter
def z(self, z):
self._z = float(z)
@property
def length(self):
return length_vector(self)
# ==========================================================================
# customization
# ==========================================================================
def __repr__(self):
return "Vector({0:.{3}f}, {1:.{3}f}, {2:.{3}f})".format(self.x, self.y, self.z, PRECISION[:1])
def __len__(self):
return 3
def __getitem__(self, key):
if isinstance(key, slice):
return [self[i] for i in range(*key.indices(len(self)))]
i = key % 3
if i == 0:
return self.x
if i == 1:
return self.y
if i == 2:
return self.z
raise KeyError
def __setitem__(self, key, value):
i = key % 3
if i == 0:
self.x = value
return
if i == 1:
self.y = value
return
if i == 2:
self.z = value
return
raise KeyError
def __iter__(self):
return iter([self.x, self.y, self.z])
def __eq__(self, other):
"""Is this vector equal to the other vector?
Two vectors are considered equal if their XYZ components are identical.
Parameters
----------
other : [float, float, float] | :class:`~compas.geometry.Vector`
The vector to compare.
Returns
-------
bool
True if the vectors are equal.
False otherwise.
"""
return self.x == other[0] and self.y == other[1] and self.z == other[2]
def __add__(self, other):
"""Return a vector that is the the sum of this vector and another vector.
Parameters
----------
other : [float, float, float] | :class:`~compas.geometry.Vector`
The vector to add.
Returns
-------
:class:`~compas.geometry.Vector`
The resulting vector.
"""
return Vector(self.x + other[0], self.y + other[1], self.z + other[2])
def __sub__(self, other):
"""Return a vector that is the the difference between this vector and another vector.
Parameters
----------
other : [float, float, float] | :class:`~compas.geometry.Vector`
The vector to subtract.
Returns
-------
:class:`~compas.geometry.Vector`
The resulting new vector.
"""
return Vector(self.x - other[0], self.y - other[1], self.z - other[2])
def __mul__(self, n):
"""Return a vector that is the scaled version of this vector.
Parameters
----------
n : float
The scaling factor.
Returns
-------
:class:`~compas.geometry.Vector`
The resulting new vector.
"""
return Vector(self.x * n, self.y * n, self.z * n)
def __truediv__(self, n):
"""Return a vector that is the scaled version of this vector.
Parameters
----------
n : float
The scaling factor.
Returns
-------
:class:`~compas.geometry.Vector`
The resulting new vector.
"""
return Vector(self.x / n, self.y / n, self.z / n)
def __pow__(self, n):
"""Create a vector from the components of the current vector raised
to the given power.
Parameters
----------
n : float
The power.
Returns
-------
:class:`~compas.geometry.Vector`
A new point with raised coordinates.
"""
return Vector(self.x**n, self.y**n, self.z**n)
def __neg__(self):
return self.scaled(-1.0)
def __iadd__(self, other):
"""Add the components of the other vector to this vector.
Parameters
----------
other : [float, float, float] | :class:`~compas.geometry.Vector`
The vector to add.
Returns
-------
None
"""
self.x += other[0]
self.y += other[1]
self.z += other[2]
return self
def __isub__(self, other):
"""Subtract the components of the other vector from this vector.
Parameters
----------
other : [float, float, float] | :class:`~compas.geometry.Vector`
The vector to subtract.
Returns
-------
None
"""
self.x -= other[0]
self.y -= other[1]
self.z -= other[2]
return self
def __imul__(self, n):
"""Multiply the components of this vector by the given factor.
Parameters
----------
n : float
The multiplication factor.
Returns
-------
None
"""
self.x *= n
self.y *= n
self.z *= n
return self
def __itruediv__(self, n):
"""Divide the components of this vector by the given factor.
Parameters
----------
n : float
The multiplication factor.
Returns
-------
None
"""
self.x /= n
self.y /= n
self.z /= n
return self
def __ipow__(self, n):
"""Raise the components of this vector to the given power.
Parameters
----------
n : float
The power.
Returns
-------
None
"""
self.x **= n
self.y **= n
self.z **= n
return self
# ==========================================================================
# constructors
# ==========================================================================
@classmethod
def Xaxis(cls):
"""Construct a unit vector along the X axis.
Returns
-------
:class:`~compas.geometry.Vector`
A vector with components ``x = 1.0, y = 0.0, z = 0.0``.
Examples
--------
>>> Vector.Xaxis()
Vector(1.000, 0.000, 0.000)
"""
return cls(1.0, 0.0, 0.0)
@classmethod
def Yaxis(cls):
"""Construct a unit vector along the Y axis.
Returns
-------
:class:`~compas.geometry.Vector`
A vector with components ``x = 0.0, y = 1.0, z = 0.0``.
Examples
--------
>>> Vector.Yaxis()
Vector(0.000, 1.000, 0.000)
"""
return cls(0.0, 1.0, 0.0)
@classmethod
def Zaxis(cls):
"""Construct a unit vector along the Z axis.
Returns
-------
:class:`~compas.geometry.Vector`
A vector with components ``x = 0.0, y = 0.0, z = 1.0``.
Examples
--------
>>> Vector.Zaxis()
Vector(0.000, 0.000, 1.000)
"""
return cls(0.0, 0.0, 1.0)
@classmethod
def from_start_end(cls, start, end):
"""Construct a vector from start and end points.
Parameters
----------
start : [float, float, float] | :class:`~compas.geometry.Point`
The start point.
end : [float, float, float] | :class:`~compas.geometry.Point`
The end point.
Returns
-------
:class:`~compas.geometry.Vector`
The vector from start to end.
Examples
--------
>>> Vector.from_start_end([1.0, 0.0, 0.0], [1.0, 1.0, 0.0])
Vector(0.000, 1.000, 0.000)
"""
v = subtract_vectors(end, start)
return cls(*v)
# ==========================================================================
# static
# ==========================================================================
@staticmethod
def transform_collection(collection, X):
"""Transform a collection of vector objects.
Parameters
----------
collection : list[[float, float, float] | :class:`~compas.geometry.Vector`]
The collection of vectors.
Returns
-------
None
Examples
--------
>>> from compas.geometry import Rotation
>>> R = Rotation.from_axis_and_angle(Vector.Zaxis(), math.radians(90))
>>> u = Vector(1.0, 0.0, 0.0)
>>> vectors = [u]
>>> Vector.transform_collection(vectors, R)
>>> v = vectors[0]
>>> v
Vector(0.000, 1.000, 0.000)
>>> u is v
True
"""
data = transform_vectors(collection, X)
for vector, xyz in zip(collection, data):
vector.x = xyz[0]
vector.y = xyz[1]
vector.z = xyz[2]
@staticmethod
def transformed_collection(collection, X):
"""Create a collection of transformed vectors.
Parameters
----------
collection : list[[float, float, float] | :class:`~compas.geometry.Vector`]
The collection of vectors.
Returns
-------
list[:class:`~compas.geometry.Vector`]
The transformed vectors.
Examples
--------
>>> from compas.geometry import Rotation
>>> R = Rotation.from_axis_and_angle(Vector.Zaxis(), math.radians(90))
>>> u = Vector(1.0, 0.0, 0.0)
>>> vectors = [u]
>>> vectors = Vector.transformed_collection(vectors, R)
>>> v = vectors[0]
>>> v
Vector(0.000, 1.000, 0.000)
>>> u is v
False
"""
vectors = [vector.copy() for vector in collection]
Vector.transform_collection(vectors, X)
return vectors
@staticmethod
def length_vectors(vectors):
"""Compute the length of multiple vectors.
Parameters
----------
vectors : list[[float, float, float] | :class:`~compas.geometry.Vector`]
A list of vectors.
Returns
-------
list[float]
A list of lengths.
Examples
--------
>>> Vector.length_vectors([[1.0, 0.0, 0.0], [2.0, 0.0, 0.0]])
[1.0, 2.0]
"""
return [length_vector(vector) for vector in vectors]
@staticmethod
def sum_vectors(vectors):
"""Compute the sum of multiple vectors.
Parameters
----------
vectors : list[[float, float, float] | :class:`~compas.geometry.Vector`]
A list of vectors.
Returns
-------
:class:`~compas.geometry.Vector`
A vector that is the sum of the vectors.
Examples
--------
>>> Vector.sum_vectors([[1.0, 0.0, 0.0], [2.0, 0.0, 0.0]])
Vector(3.000, 0.000, 0.000)
"""
return Vector(*[sum(axis) for axis in zip(*vectors)])
@staticmethod
def dot_vectors(left, right):
"""Compute the dot product of two lists of vectors.
Parameters
----------
left : list[[float, float, float] | :class:`~compas.geometry.Vector`]
A list of vectors.
right : list[[float, float, float] | :class:`~compas.geometry.Vector`]
A list of vectors.
Returns
-------
list[float]
A list of dot products.
Examples
--------
>>> Vector.dot_vectors([[1.0, 0.0, 0.0], [2.0, 0.0, 0.0]], [[1.0, 0.0, 0.0], [2.0, 0.0, 0.0]])
[1.0, 4.0]
"""
return [Vector.dot(u, v) for u, v in zip(left, right)]
@staticmethod
def cross_vectors(left, right):
"""Compute the cross product of two lists of vectors.
Parameters
----------
left : list[[float, float, float] | :class:`~compas.geometry.Vector`]
A list of vectors.
right : list[[float, float, float] | :class:`~compas.geometry.Vector`]
A list of vectors.
Returns
-------
list[:class:`~compas.geometry.Vector`]
A list of cross products.
Examples
--------
>>> Vector.cross_vectors([[1.0, 0.0, 0.0], [2.0, 0.0, 0.0]], [[0.0, 1.0, 0.0], [0.0, 0.0, 2.0]])
[Vector(0.000, 0.000, 1.000), Vector(0.000, -4.000, 0.000)]
"""
return [Vector.cross(u, v) for u, v in zip(left, right)]
@staticmethod
def angles_vectors(left, right):
"""Compute both angles between corresponding pairs of two lists of vectors.
Parameters
----------
left : list[[float, float, float] | :class:`~compas.geometry.Vector`]
A list of vectors.
right : list[[float, float, float] | :class:`~compas.geometry.Vector`]
A list of vectors.
Returns
-------
list[float]
A list of angle pairs.
Examples
--------
>>> Vector.angles_vectors([[1.0, 0.0, 0.0], [2.0, 0.0, 0.0]], [[0.0, 1.0, 0.0], [0.0, 0.0, 2.0]])
[(1.5707963267948966, 4.71238898038469), (1.5707963267948966, 4.71238898038469)]
"""
return [angles_vectors(u, v) for u, v in zip(left, right)]
@staticmethod
def angle_vectors(left, right):
"""Compute the smallest angle between corresponding pairs of two lists of vectors.
Parameters
----------
left : list[[float, float, float] | :class:`~compas.geometry.Vector`]
A list of vectors.
right : list[[float, float, float] | :class:`~compas.geometry.Vector`]
A list of vectors.
Returns
-------
list[float]
A list of angles.
Examples
--------
>>> Vector.angle_vectors([[1.0, 0.0, 0.0], [2.0, 0.0, 0.0]], [[0.0, 1.0, 0.0], [0.0, 0.0, 2.0]])
[1.5707963267948966, 1.5707963267948966]
"""
return [angle_vectors(u, v) for u, v in zip(left, right)]
# ==========================================================================
# helpers
# ==========================================================================
def copy(self):
"""Make a copy of this vector.
Returns
-------
:class:`~compas.geometry.Vector`
The copy.
Examples
--------
>>> u = Vector(0.0, 0.0, 0.0)
>>> v = u.copy()
>>> u == v
True
>>> u is v
False
"""
cls = type(self)
return cls(self.x, self.y, self.z)
# ==========================================================================
# methods
# ==========================================================================
def unitize(self):
"""Scale this vector to unit length.
Returns
-------
None
Examples
--------
>>> u = Vector(1.0, 2.0, 3.0)
>>> u.unitize()
>>> u.length
1.0
"""
length = self.length
self.x = self.x / length
self.y = self.y / length
self.z = self.z / length
def unitized(self):
"""Returns a unitized copy of this vector.
Returns
-------
:class:`~compas.geometry.Vector`
A unitized copy of the vector.
Examples
--------
>>> u = Vector(1.0, 2.0, 3.0)
>>> v = u.unitized()
>>> u.length == 1.0
False
>>> v.length == 1.0
True
"""
v = self.copy()
v.unitize()
return v
def invert(self):
"""Invert the direction of this vector
Returns
-------
None
Notes
-----
a negation of a vector is similar to inverting a vector
Examples
--------
>>> u = Vector(1.0, 0.0, 0.0)
>>> v = u.copy()
>>> u.invert()
>>> u == v
False
>>> u.invert()
>>> u == v
True
>>> v == --v
True
"""
self.scale(-1.0)
def inverted(self):
"""Returns a inverted copy of this vector
Returns
-------
:class:`~compas.geometry.Vector`
Examples
--------
>>> u = Vector(1.0, 0.0, 0.0)
>>> v = u.inverted()
>>> w = u + v
>>> w.length
0.0
"""
return self.scaled(-1.0)
def scale(self, n):
"""Scale this vector by a factor n.
Parameters
----------
n : float
The scaling factor.
Returns
-------
None
Examples
--------
>>> u = Vector(1.0, 0.0, 0.0)
>>> u.scale(3.0)
>>> u.length
3.0
"""
self.x *= n
self.y *= n
self.z *= n
def scaled(self, n):
"""Returns a scaled copy of this vector.
Parameters
----------
n : float
The scaling factor.
Returns
-------
:class:`~compas.geometry.Vector`
A scaled copy of the vector.
Examples
--------
>>> u = Vector(1.0, 0.0, 0.0)
>>> v = u.scaled(3.0)
>>> u.length
1.0
>>> v.length
3.0
"""
v = self.copy()
v.scale(n)
return v
def dot(self, other):
"""The dot product of this vector and another vector.
Parameters
----------
other : [float, float, float] | :class:`~compas.geometry.Vector`
The other vector.
Returns
-------
float
The dot product.
Examples
--------
>>> u = Vector(1.0, 0.0, 0.0)
>>> v = Vector(0.0, 1.0, 0.0)
>>> u.dot(v)
0.0
"""
return dot_vectors(self, other)
def cross(self, other):
"""The cross product of this vector and another vector.
Parameters
----------
other : [float, float, float] | :class:`~compas.geometry.Vector`
The other vector.
Returns
-------
:class:`~compas.geometry.Vector`
The cross product.
Examples
--------
>>> u = Vector(1.0, 0.0, 0.0)
>>> v = Vector(0.0, 1.0, 0.0)
>>> u.cross(v)
Vector(0.000, 0.000, 1.000)
"""
return Vector(*cross_vectors(self, other))
def angle(self, other):
"""Compute the smallest angle between this vector and another vector.
Parameters
----------
other : [float, float, float] | :class:`~compas.geometry.Vector`
The other vector.
Returns
-------
float
The smallest angle between the two vectors.
Examples
--------
>>> u = Vector(1.0, 0.0, 0.0)
>>> v = Vector(0.0, 1.0, 0.0)
>>> u.angle(v) == 0.5 * math.pi
True
"""
return angle_vectors(self, other)
def angle_signed(self, other, normal):
"""Compute the signed angle between this vector and another vector.
Parameters
----------
other : [float, float, float] | :class:`~compas.geometry.Vector`
The other vector.
normal : [float, float, float] | :class:`~compas.geometry.Vector`
The plane's normal spanned by this and the other vector.
Returns
-------
float
The signed angle between the two vectors.
Examples
--------
>>> u = Vector(1.0, 0.0, 0.0)
>>> v = Vector(0.0, 1.0, 0.0)
>>> u.angle_signed(v, Vector(0.0, 0.0, 1.0)) == 0.5 * math.pi
True
>>> u.angle_signed(v, Vector(0.0, 0.0, -1.0)) == -0.5 * math.pi
True
"""
return angle_vectors_signed(self, other, normal)
def angles(self, other):
"""Compute both angles between this vector and another vector.
Parameters
----------
other : [float, float, float] | :class:`~compas.geometry.Vector`
The other vector.
Returns
-------
tuple[float, float]
The angles between the two vectors, with the smallest angle first.
Examples
--------
>>> u = Vector(1.0, 0.0, 0.0)
>>> v = Vector(0.0, 1.0, 0.0)
>>> u.angles(v)[0] == 0.5 * math.pi
True
"""
return angles_vectors(self, other)
def transform(self, T):
"""Transform this vector.
Parameters
----------
T : :class:`~compas.geometry.Transformation` | list[list[float]]
The transformation.
Returns
-------
None
Examples
--------
>>> from compas.geometry import Rotation
>>> u = Vector(1.0, 0.0, 0.0)
>>> R = Rotation.from_axis_and_angle([0.0, 0.0, 1.0], math.radians(90))
>>> u.transform(R)
>>> u
Vector(0.000, 1.000, 0.000)
"""
point = transform_vectors([self], T)[0]
self.x = point[0]
self.y = point[1]
self.z = point[2]
def transformed(self, T):
"""Return a transformed copy of this vector.
Parameters
----------
T : :class:`~compas.geometry.Transformation` | list[list[float]]
The transformation.
Returns
-------
:class:`~compas.geometry.Vector`
The transformed copy.
Examples
--------
>>> from compas.geometry import Rotation
>>> u = Vector(1.0, 0.0, 0.0)
>>> R = Rotation.from_axis_and_angle([0.0, 0.0, 1.0], math.radians(90))
>>> v = u.transformed(R)
>>> v
Vector(0.000, 1.000, 0.000)
"""
vector = self.copy()
vector.transform(T)
return vector | PypiClean |
/EPCPyYes-2.0.3.tar.gz/EPCPyYes-2.0.3/LICENSE.md | # EPCPyYes
A Pythoninc approach to EPCIS-enabled application development.
Copyright (C) 2018 SerialLab Corp
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as
published by the Free Software Foundation, either version 3 of the
License, or (at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
### GNU AFFERO GENERAL PUBLIC LICENSE
Version 3, 19 November 2007
Copyright (C) 2007 Free Software Foundation, Inc.
<https://fsf.org/>
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you (or copies made from those copies), or (b) primarily for and in
connection with specific products or compilations that contain the
covered work, unless you entered into that arrangement, or that patent
license was granted, prior to 28 March 2007.
Nothing in this License shall be construed as excluding or limiting
any implied license or other defenses to infringement that may
otherwise be available to you under applicable patent law.
#### 12. No Surrender of Others' Freedom.
If conditions are imposed on you (whether by court order, agreement or
otherwise) that contradict the conditions of this License, they do not
excuse you from the conditions of this License. If you cannot convey a
covered work so as to satisfy simultaneously your obligations under
this License and any other pertinent obligations, then as a
consequence you may not convey it at all. For example, if you agree to
terms that obligate you to collect a royalty for further conveying
from those to whom you convey the Program, the only way you could
satisfy both those terms and this License would be to refrain entirely
from conveying the Program.
#### 13. Remote Network Interaction; Use with the GNU General Public License.
Notwithstanding any other provision of this License, if you modify the
Program, your modified version must prominently offer all users
interacting with it remotely through a computer network (if your
version supports such interaction) an opportunity to receive the
Corresponding Source of your version by providing access to the
Corresponding Source from a network server at no charge, through some
standard or customary means of facilitating copying of software. This
Corresponding Source shall include the Corresponding Source for any
work covered by version 3 of the GNU General Public License that is
incorporated pursuant to the following paragraph.
Notwithstanding any other provision of this License, you have
permission to link or combine any covered work with a work licensed
under version 3 of the GNU General Public License into a single
combined work, and to convey the resulting work. The terms of this
License will continue to apply to the part which is the covered work,
but the work with which it is combined will remain governed by version
3 of the GNU General Public License.
#### 14. Revised Versions of this License.
The Free Software Foundation may publish revised and/or new versions
of the GNU Affero General Public License from time to time. Such new
versions will be similar in spirit to the present version, but may
differ in detail to address new problems or concerns.
Each version is given a distinguishing version number. If the Program
specifies that a certain numbered version of the GNU Affero General
Public License "or any later version" applies to it, you have the
option of following the terms and conditions either of that numbered
version or of any later version published by the Free Software
Foundation. If the Program does not specify a version number of the
GNU Affero General Public License, you may choose any version ever
published by the Free Software Foundation.
If the Program specifies that a proxy can decide which future versions
of the GNU Affero General Public License can be used, that proxy's
public statement of acceptance of a version permanently authorizes you
to choose that version for the Program.
Later license versions may give you additional or different
permissions. However, no additional obligations are imposed on any
author or copyright holder as a result of your choosing to follow a
later version.
#### 15. Disclaimer of Warranty.
THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY
APPLICABLE LAW. EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT
HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT
WARRANTY OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT
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DEFECTIVE, YOU ASSUME THE COST OF ALL NECESSARY SERVICING, REPAIR OR
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#### 16. Limitation of Liability.
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LOSSES SUSTAINED BY YOU OR THIRD PARTIES OR A FAILURE OF THE PROGRAM
TO OPERATE WITH ANY OTHER PROGRAMS), EVEN IF SUCH HOLDER OR OTHER
PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGES.
#### 17. Interpretation of Sections 15 and 16.
If the disclaimer of warranty and limitation of liability provided
above cannot be given local legal effect according to their terms,
reviewing courts shall apply local law that most closely approximates
an absolute waiver of all civil liability in connection with the
Program, unless a warranty or assumption of liability accompanies a
copy of the Program in return for a fee.
END OF TERMS AND CONDITIONS
| PypiClean |
/HalRing_Lib-1.1.0-py3-none-any.whl/halring/artifactory_lib/halring_artifactory_lib.py | import os
import sys
import requests
import json
from urllib.parse import quote
from urllib.parse import unquote
from artifactory import ArtifactoryPath
from loguru import logger
from artifactory import ArtifactoryProAccessor
import argparse
nga_root = os.path.abspath(__file__).split("halring")[0]
if nga_root in sys.path:
sys.path.append(nga_root)
"""
Artifactory Lib Util
Author: ygong
统一输入为未转码的制品库路径
@:param user
用户名
@:param password
密码
"""
class ArtifactoryLibUtil(object):
def __init__(self, user, password):
self._user = user
self._password = password
def artifactory_upload_file(self, local_path, artifactory_path):
"""
上传本地文件到制品库
:param local_path: 本地文件路径
:param artifactory_path: 制品库路径
:return: 无返回值
"""
# 本地路径是文件
# artifactory路径是目录
if (local_path.endswith("/")):
logger.error("源路径需为文件")
elif (not artifactory_path.endswith("/")):
logger.error("artifactory路径需以/结尾")
logger.error("源路径需为文件")
else:
path = ArtifactoryPath(artifactory_path, auth=(self._user, self._password))
path.deploy_file(local_path)
def artifactory_download_file(self, local_path, artifactory_path):
"""
下载远端文件到本地
:param local_path: 本地文件路径
:param artifactory_path: 制品库路径
:return: 无返回值
"""
# artifactory路径是文件
# 本地路径是目录结尾的
if self.artifactory_path_isdir(artifactory_path):
logger.error("artifactory路径需为文件")
else:
file_name = artifactory_path.rpartition("/")[-1]
path = ArtifactoryPath(
artifactory_path, auth=(self._user, self._password)
)
local_path = local_path + "/" + file_name
with path.open() as fd, open(local_path, "wb") as out:
out.write(fd.read())
def artifactory_upload_tree(self, local_dir, artifactory_dir):
"""
上传本地文件夹到远程文件夹
:param local_dir: 本地文件夹
:param artifactory_dir: 远端artifactory文件夹
:return:
"""
# 两个都是目录
local_list = os.listdir(local_dir)
for local in local_list:
src = local_dir + "/" + local
self.create_artifactory_dir(artifactory_dir + "/")
if os.path.isdir(src):
self.create_artifactory_dir(artifactory_dir + "/" + local + "/")
self.artifactory_upload_tree(src, artifactory_dir + "/" + local + "/")
else:
self.artifactory_upload_file(src, artifactory_dir + "/")
def artifactory_download_tree(self, local_dir, artifactory_dir):
"""
下载本地文件夹到远程文件夹
:param local_dir: 本地文件夹
:param artifactory_dir: 远端artifactory文件夹
:return:
"""
artifactory_list = self.list_artifactory_path(artifactory_dir)
for path in artifactory_list:
path = str(path)
path_name = path.rpartition("/")[-1]
if self.artifactory_path_isdir(path):
self.create_local_dir(local_dir + "/" + path_name)
self.artifactory_download_tree(local_dir + "/" + path_name + "/", path)
else:
self.artifactory_download_file(local_dir + "/", path)
def list_artifactory_path(self, artifactory_path):
"""
列出artifactory文件路径
:param artifactory_path: artifactory路径
:return:
"""
path_list = []
path = ArtifactoryPath(artifactory_path, auth=(self._user, self._password))
for p in path:
path_list.append(p)
return path_list
def artifactory_path_isdir_unquoted(self, unquoted_artifactory_path):
"""
判断给出的路径是否目录(未转码)
Args:
artifactory_path: 制品库路径
Returns:
是目录返回True，是文件返回False，其他错误返回"error"
"""
quoted_path = quote(str(unquoted_artifactory_path), safe="/:")
path = ArtifactoryPath(quoted_path, auth=(self._user, self._password))
stat = ArtifactoryPath.stat(path)
try:
return stat.is_dir
except:
return "error"
def artifactory_path_isdir(self, artifactory_path):
"""
判断给出的路径是否目录
Args:
artifactory_path: 制品库路径
Returns:
是目录返回True，是文件返回False，其他错误返回"error"
"""
path = ArtifactoryPath(artifactory_path, auth=(self._user, self._password))
stat = ArtifactoryPath.stat(path)
try:
return stat.is_dir
except:
return "error"
"""
展示路径上所有属性
@:param artifactory_path 制品库路径，如不存在则报错
"""
def create_artifactory_dir(self, artifactory_path):
"""
:param: artifactory_path:artifactory_path: 制品库路径。
:return: 成功:"success"/失败:"error"
"""
try:
path = ArtifactoryPath(
artifactory_path, auth=(self._user, self._password)
)
if not self.artifactory_path_exist(artifactory_path):
path.mkdir()
return "success"
except Exception as e:
return "error"
@staticmethod
def create_local_dir(local_path):
if not os.path.exists(local_path):
os.makedirs(local_path)
def artifactory_search_dir(self, artifactory_path, recursive_flag):
"""
搜索远端文件夹
:param artifactory_path: 搜索的远端的路径
:param recursive_flag: 搜索模式
:return:
"""
rst_list = []
if recursive_flag == "r":
path_list = self.list_artifactory_path(artifactory_path)
for path in path_list:
if self.artifactory_path_isdir_unquoted(str(path)):
# 返回nested list
# list.append(self.artifactory_search_dir(path, "r"))
result = self.artifactory_search_dir(str(path), "r")
for r in result:
rst_list.append(r)
rst_list.append(str(path) + "/")
else:
rst_list.append(str(path))
return rst_list
elif recursive_flag == "nr":
path_list = self.list_artifactory_path(artifactory_path)
for path in path_list:
if self.artifactory_path_isdir_unquoted(str(path)):
rst_list.append(str(path) + "/")
else:
rst_list.append(str(path))
return rst_list
else:
logger.error("recursive标志错误")
return "error"
def quote_path(self, path):
quoted_path = quote(path, safe="/:")
return quoted_path
def artifactory_path_exist_unquoted(self, unquoted_artifactory_path):
"""
判断给出的路径是否目录(未转码)
Args:
artifactory_path: 制品库路径
Returns:
是目录返回True，是文件返回False，其他错误返回"error"
"""
quoted_path = quote(str(unquoted_artifactory_path), safe="/:")
path = ArtifactoryPath(quoted_path, auth=(self._user, self._password))
if path.exists():
return True
else:
return False
def artifactory_path_exist(self, artifactory_path):
""" 判断路径是否存在
:param artifactory_path: artifactory路径(已转义后)，如果路径尾带"/"，但实际路径为文件，则认为路径不存在。
如果路径尾不带"/"，则认为可能文件可能目录。
:return:True/False 存在/不存在
"""
# path = ArtifactoryPath(artifactory_path, auth=(self._user, self._password))
# if path.exists():
# return True
# else:
# return False
if artifactory_path.endswith("/"):
path_type = "dir"
artifactory_path = artifactory_path.rstrip("/")
else:
path_type = "any"
if "%" not in artifactory_path:
artifactory_path_encode = quote(artifactory_path, safe="/:")
else:
artifactory_path_encode = artifactory_path
url_list = artifactory_path_encode.partition("/artifactory/")
url = "{0}{1}api/storage/{2}".format(url_list[0], url_list[1], url_list[2])
headers = {
'Content-Type': "application/json",
'cache-control': "no-cache",
}
result = requests.get(url, headers=headers, auth=(self._user, self._password))
if result.status_code == 404:
# 路径不存在
return False
elif result.status_code != 200:
logger.error("{0}".format(result.text))
return False
else:
dict_str = result.content.decode("utf-8")
data_dict = json.loads(dict_str)
query_url = quote(data_dict.get("uri"), safe="/:")
# 解决路径中有类似!()的未转义符号时的问题
query_url_unquote = unquote(query_url)
url_unquote = unquote(url)
if query_url_unquote == url_unquote:
if path_type == "dir" and "size" in data_dict.keys():
return False
return True
else:
# 解决路径有多余空格时，路径仍存在的问题
return False
"""
设置属性
@:param artifactory_path artifactory_path路径，如不存在则报错
@:param key 标签的键
@:param value 标签的值
"""
def artifactory_set_property(self, artifactory_path, key, value):
path = ArtifactoryPath(artifactory_path, auth=(self._user, self._password))
if self.artifactory_path_exist(artifactory_path):
try:
properties = path.properties
properties[key] = value
path.properties = properties
return "success"
except:
logger.error("set properties failed")
return "error"
else:
logger.error("artifactory path {0} doesn't exist".format(artifactory_path))
return "error"
"""
移除属性
@:param artifactory_path artifactory_path路径，如不存在则报错
@:param key 要移除的标签键
"""
def artifactory_remove_property(self, artifactory_path, key):
path = ArtifactoryPath(artifactory_path, auth=(self._user, self._password))
if self.artifactory_path_exist(artifactory_path):
try:
properties = path.properties
path.properties = properties
properties.pop(key)
return "success"
except KeyError as e:
logger.error("no this key")
return "error"
except:
logger.error("remove properties failed")
return "error"
else:
logger.error("no this artifactory path")
return "error"
"""
展示路径上所有属性
@:param artifactory_path 制品库路径，如不存在则报错
"""
def artifactory_list_properties(self, artifactory_path):
path = ArtifactoryPath(artifactory_path, auth=(self._user, self._password))
if self.artifactory_path_exist(artifactory_path):
properties_dict = path.properties
for key in properties_dict:
properties_dict[key] = properties_dict[key][0]
return properties_dict
else:
logger.error("no this artifactory path")
return "error"
"""
移动制品库
@:param src_path artifactory路径，要移动的源路径，如不存在则报错(未转义前)
@:param dst_path artifactory路径，移动的目的路径，如不存在则创建(未转义前)
源路径为文件时，如果目的路径以/结尾，判定为目录，以原文件名移动
源路径为文件时，如果目的路径不以/结尾，判定为文件，以该文件名重命名移动
源路径为目录"A"，目的路径为"B/"(以/结尾)，则最终移动结果为"B/A/"
源路径为目录"A"，目的路径为"B"(不以/结尾)，在最终移动结果为"B"（等于重命名目录）
※如果目的路径已存在，则不变更它的创建时间
※目录属性在移动后会被保留
"""
def artifactory_move(self, src_path, dst_path):
"""
文件剪切
:param src_path: 源文件路径
:param dst_path: 目标文件路径
:return:
"""
source = ArtifactoryPath(src_path, auth=(self._user, self._password))
dest = ArtifactoryPath(dst_path, auth=(self._user, self._password))
if source.exists():
# 如果目的路径为目录则创建目录
if dst_path.endswith("/"):
if not dest.exists():
dest.mkdir()
# 如果源路径为目录则也创建目的路径目录
if source.is_dir():
if not dest.exists():
dest.mkdir()
if self.artifactory_path_isdir_unquoted(src_path):
if not dst_path.endswith("/"):
src_path_list = self.artifactory_search(src_path, "r", "a")
for each_path in src_path_list:
path_suffix = each_path.rpartition(src_path)[-1]
file_src_path = ArtifactoryPath(each_path, auth=(self._user, self._password))
if self.artifactory_path_isdir_unquoted(each_path):
file_dst_path = ArtifactoryPath(dst_path, auth=(self._user, self._password))
else:
file_dst_path = ArtifactoryPath(dst_path + "/" + path_suffix,
auth=(self._user, self._password))
file_src_path.move(file_dst_path)
else:
source.move(dest)
# 如果源路径为空，则最后删除源目录
if source.exists() and self.artifactory_search(src_path, "r", "a") == []:
self.artifactory_remove(src_path)
else:
source.move(dest)
return "success"
else:
logger.error("source artifactory path does not exist")
return "error"
"""
复制制品库
@:param src_path artifactory路径，要复制的源路径，如不存在则报错(未转义前)
@:param dst_path artifactory路径，复制的目的路径，如不存在则创建(未转义前)
源路径为文件时，目的路径如果以/结尾，判定为目录，以原文件名复制
源路径为文件时，目的路径如果不以/结尾，判定为文件，以该文件名重命名复制
源路径为目录"A"，目的路径为"B/"(以/结尾)，则最终拷贝结果为"B/A/"
源路径为目录"A"，目的路径为"B"(不以/结尾)，在最终拷贝结果为"B"（等于重命名目录）
※如果目的路径已存在，则不变更它的创建时间
※目录属性在移动后不会被保留
"""
def artifactory_copy(self, src_path, dst_path):
"""
文件粘贴
:param src_path: 源文件路径
:param dst_path: 目标文件路径
:return:
"""
source = ArtifactoryPath(src_path, auth=(self._user, self._password))
dest = ArtifactoryPath(dst_path, auth=(self._user, self._password))
if source.exists():
# 如果目的路径为目录则创建目录
if dst_path.endswith("/"):
if not dest.exists():
dest.mkdir()
# 如果源路径为目录则也创建目的路径目录
if source.is_dir():
if not dest.exists():
dest.mkdir()
if self.artifactory_path_isdir_unquoted(src_path):
if not dst_path.endswith("/"):
src_path_list = self.artifactory_search(src_path, "r", "a")
for each_path in src_path_list:
path_suffix = each_path.rpartition(src_path)[-1]
file_src_path = ArtifactoryPath(each_path, auth=(self._user, self._password))
if self.artifactory_path_isdir_unquoted(each_path):
dict_dst_path = dst_path + "/" + path_suffix
if not self.artifactory_path_exist(dict_dst_path):
self.create_artifactory_dir(dict_dst_path)
else:
file_dst_path = ArtifactoryPath(dst_path + "/" + path_suffix,
auth=(self._user, self._password))
file_src_path.copy(file_dst_path)
else:
source.copy(dest)
else:
source.copy(dest)
return "success"
else:
logger.error("source artifactory path does not exist")
return "error"
def artifactory_search(self, artifactory_path, recursive_flag, only_flag):
"""
搜索远端文件
:param artifactory_path: artifactory_path路径，如不存在则报错，如果是文件返回原路径
:param recursive_flag: 是否递归搜索:r/nr
:param only_flag: 只输出文件/目录:f/d 其余值则输出所有
:return:
"""
try:
if self.artifactory_path_exist(artifactory_path) == False:
logger.error("no this artifactory path")
result = "error"
else:
if self.artifactory_path_isdir(artifactory_path):
result = self.artifactory_search_dir(artifactory_path, recursive_flag)
else:
result = [artifactory_path]
# 只输出文件
if only_flag == "f":
temp_list = []
for x in result:
if not x.endswith("/"):
temp_list.append(x)
result = temp_list
# 只输出目录
elif only_flag == "d":
temp_list = []
for x in result:
if x.endswith("/"):
temp_list.append(x)
result = temp_list
return result
except:
return "error"
"""
上传制品
@:param local_path 源本地文件或路径，如不存在则报错
@:param artifactory_path artifactory目的路径，如不存在则创建
artifactory目的路径如果以"/"结尾，则表示以原文件名传到该路径下
artifactory目的路径如果不以"/"结尾，如
"Release/NWF2020/BPC_10.10.10/a" 则文件名为a
如果路径下已有文件夹a，则效果同"Release/NWF2020/BPC_10.10.10/a/"
"""
def artifactory_upload(self, local_path, artifactory_path):
# 判断本地路径是否存在
if not os.path.exists(local_path):
logger.error("not found")
return "error"
else:
try:
if os.path.isdir(local_path):
self.artifactory_upload_tree(local_path, artifactory_path)
return "success"
elif os.path.isfile(local_path):
self.create_artifactory_dir(artifactory_path.rpartition("/")[0])
self.artifactory_upload_file(local_path, artifactory_path + "/")
return "success"
except Exception as e:
return "error"
"""
下载制品
@:param local_path 本地目的路径，如不存在则创建
@:param artifactory_path artifactory源路径，如不存在则报错
"""
def artifactory_download(self, local_path, artifactory_path):
# 判断远端路径是否存在
if not self.artifactory_path_exist(artifactory_path):
logger.error("no this artifactory path")
return "error"
else:
try:
if self.artifactory_path_isdir(artifactory_path):
self.artifactory_download_tree(local_path, artifactory_path)
return "success"
elif self.artifactory_path_isdir(artifactory_path) is False:
self.artifactory_download_file(local_path, artifactory_path)
return "success"
else:
return "error"
except:
return "error"
"""
删除制品
@:param artifactory_path 要删除的artifactory路径，如不存在则报错
"""
def artifactory_remove(self, artifactory_path):
path = ArtifactoryPath(artifactory_path, auth=(self._user, self._password))
try:
if self.artifactory_path_exist(artifactory_path):
path.unlink()
return "success"
else:
logger.error("no this artifactory path")
return "error"
except:
logger.error("remove artifactory path failed")
return "error"
"""
使用aql进行查询
@aql_query 使用aql语法进行查询
返回查询结果{'results':[...],'range':{...}}
"""
def artifactory_query(self, artifactory_path, aql_query: dict):
if not artifactory_path.endswith("/"):
artifactory_path = artifactory_path + "/"
url = artifactory_path + "api/search/aql"
headers = {
'Content-Type': "text/plain"}
payload = json.dumps(aql_query)
payload = "items.find({0})".format(payload)
result = requests.post(url, data=payload, headers=headers, auth=(self._user, self._password))
if result.status_code != 200:
logger.error("{0}".format(str(result.text)))
return None
else:
result_json = json.loads(result.text)
return result_json
def artifactory_filepath_md5(self, artifactory_path):
"""
:param artifactory_path: 未转码前制品库路径
:return: {文件:md5}
"""
if not self.artifactory_path_exist_unquoted(artifactory_path):
logger.error("no this artifactory path")
return "error"
else:
quoted_artifactory_path = self.quote_path(artifactory_path)
stat = self.artifactory_path_stat(quoted_artifactory_path)
return {artifactory_path: stat.md5}
def artifactory_path_md5(self, artifactory_path):
"""
:param artifactory_path: artifactory路经
:return:
artifactory_path为文件时，返回{文件:md5}
artifactory_path为目录时，返回{文件A:md5,文件B:md5,...}
"""
file_list = self.artifactory_search(artifactory_path, "r", "f")
result_dict = {}
for file in file_list:
result_dict.update(self.artifactory_filepath_md5(file))
return result_dict
def artifactory_path_stat(self, artifactory_path):
"""
:param artifactory_path制品库路径（需为转义前）
:return: 类型为ArtifactoryStat的对象
包含以下属性：
ctime
mtime
created_by
modified_by
mime_type
size
sha1
sha256
md5
is_dir
children
"""
path = ArtifactoryPath(artifactory_path, auth=(self._user, self._password))
return ArtifactoryPath.stat(path)
def artifactory_promote_docker(self, src_path, dst_path, copy_flag=True):
"""
:param src_path: 源docker路径
:param dst_path: 目的docker路径
:param copy_flag: 是否拷贝标志,默认True
:return: success/error
"""
tag = [x for x in src_path.split("/") if x][-1]
target_tag = [x for x in dst_path.split("/") if x][-1]
src_string = src_path.partition("/" + tag)[0].partition("/artifactory/")[-1]
artifactory_server = src_path.partition("/artifactory/")[0]
# dst_string = dst_path.partition("/"+target_tag)[0].partition("/artifactory/")[-1]
dst_repo_tag = dst_path.partition("/artifactory/")[-1]
dst_string = dst_repo_tag.rpartition("/" + target_tag)[0]
repo_key = src_string.split("/")[0]
target_repo_key = dst_string.split("/")[0]
docker_repo = src_string.partition(repo_key + "/")[-1]
target_docker_repo = dst_string.partition(target_repo_key + "/")[-1]
url = "{0}/artifactory/api/docker/{1}/v2/promote".format(artifactory_server, repo_key)
data_dict = {
"targetRepo": target_repo_key,
"dockerRepository": docker_repo,
"targetDockerRepository": target_docker_repo,
"tag": tag,
"targetTag": target_tag,
"copy": copy_flag
}
data = json.dumps(data_dict)
headers = {
'Content-Type': "application/json",
'cache-control': "no-cache",
}
result = requests.post(url, data=data, headers=headers, auth=(self._user, self._password))
if result.status_code != 200:
logger.error("{0}".format(result.content))
return "error"
else:
return "success"
def artifactory_get_docker_sha256(self, artifactory_path):
"""
:param artifactory_path: docker路径
:return: docker的sha256值
"""
artifactory_path = artifactory_path + "/manifest.json"
if self.artifactory_path_exist(artifactory_path):
path = ArtifactoryPath(artifactory_path, auth=(self._user, self._password))
result = self.sub_get_file_json_sha256(artifactory_path)
return result
else:
return "error"
def sub_get_file_json_sha256(self, artifactory_path):
"""
:param artifactory_path: docker路径
:return: 该docker的sha256值
"""
local_path = os.getcwd()
# basename = manifest.json
basename = artifactory_path.split("/")[-1]
self.artifactory_download_file(local_path, artifactory_path)
file_path = local_path + "/{0}".format(basename)
with open(file_path, "r") as f:
dict_data = json.load(f)
os.remove(file_path)
return dict_data.get("config").get("digest").partition("sha256:")[-1]
def artifactory_latest_child_path(self, artifactory_path):
"""
:param artifactory_path: 父路径
:return: 修改时间最晚的子路径
"""
path = ArtifactoryPath(artifactory_path, auth=(self._user, self._password))
child_path_dict = {}
for p in path:
a = ArtifactoryPath.stat(p)
child_path_dict[p] = a.mtime
latest_key = sorted(child_path_dict)[-1]
return latest_key
if __name__ == '__main__':
parser = argparse.ArgumentParser(description="artifactory tool")
parser.add_argument("-usr", type=str)
parser.add_argument("-pwd", type=str)
parser.add_argument("-func", type=str)
args = parser.parse_args()
usr = args.usr
pwd = args.pwd
func = args.func
artifactory_lib_util = ArtifactoryLibUtil(usr, pwd)
print(eval("artifactory_lib_util.{0}".format(func)))
# python artifactory_lib_util.py -usr aqc001 -pwd l1nx1L1n@n6 -func "artifactory_latest_child_path(path)" | PypiClean |
/Hikka_TL_New-2.0.4-py3-none-any.whl/hikkatl/extensions/binaryreader.py | import os
import time
from datetime import datetime, timezone, timedelta
from io import BytesIO
from struct import unpack
from ..errors import TypeNotFoundError
from ..tl.alltlobjects import tlobjects
from ..tl.core import core_objects
_EPOCH_NAIVE = datetime(*time.gmtime(0)[:6])
_EPOCH = _EPOCH_NAIVE.replace(tzinfo=timezone.utc)
class BinaryReader:
"""
Small utility class to read binary data.
"""
def __init__(self, data):
self.stream = BytesIO(data)
self._last = None # Should come in handy to spot -404 errors
# region Reading
# "All numbers are written as little endian."
# https://core.telegram.org/mtproto
def read_byte(self):
"""Reads a single byte value."""
return self.read(1)[0]
def read_int(self, signed=True):
"""Reads an integer (4 bytes) value."""
return int.from_bytes(self.read(4), byteorder='little', signed=signed)
def read_long(self, signed=True):
"""Reads a long integer (8 bytes) value."""
return int.from_bytes(self.read(8), byteorder='little', signed=signed)
def read_float(self):
"""Reads a real floating point (4 bytes) value."""
return unpack('<f', self.read(4))[0]
def read_double(self):
"""Reads a real floating point (8 bytes) value."""
return unpack('<d', self.read(8))[0]
def read_large_int(self, bits, signed=True):
"""Reads a n-bits long integer value."""
return int.from_bytes(
self.read(bits // 8), byteorder='little', signed=signed)
def read(self, length=-1):
"""Read the given amount of bytes, or -1 to read all remaining."""
result = self.stream.read(length)
if (length >= 0) and (len(result) != length):
raise BufferError(
'No more data left to read (need {}, got {}: {}); last read {}'
.format(length, len(result), repr(result), repr(self._last))
)
self._last = result
return result
def get_bytes(self):
"""Gets the byte array representing the current buffer as a whole."""
return self.stream.getvalue()
# endregion
# region Telegram custom reading
def tgread_bytes(self):
"""
Reads a Telegram-encoded byte array, without the need of
specifying its length.
"""
first_byte = self.read_byte()
if first_byte == 254:
length = self.read_byte() | (self.read_byte() << 8) | (
self.read_byte() << 16)
padding = length % 4
else:
length = first_byte
padding = (length + 1) % 4
data = self.read(length)
if padding > 0:
padding = 4 - padding
self.read(padding)
return data
def tgread_string(self):
"""Reads a Telegram-encoded string."""
return str(self.tgread_bytes(), encoding='utf-8', errors='replace')
def tgread_bool(self):
"""Reads a Telegram boolean value."""
value = self.read_int(signed=False)
if value == 0x997275b5: # boolTrue
return True
elif value == 0xbc799737: # boolFalse
return False
else:
raise RuntimeError('Invalid boolean code {}'.format(hex(value)))
def tgread_date(self):
"""Reads and converts Unix time (used by Telegram)
into a Python datetime object.
"""
value = self.read_int()
return _EPOCH + timedelta(seconds=value)
def tgread_object(self):
"""Reads a Telegram object."""
constructor_id = self.read_int(signed=False)
clazz = tlobjects.get(constructor_id, None)
if clazz is None:
# The class was None, but there's still a
# chance of it being a manually parsed value like bool!
value = constructor_id
if value == 0x997275b5: # boolTrue
return True
elif value == 0xbc799737: # boolFalse
return False
elif value == 0x1cb5c415: # Vector
return [self.tgread_object() for _ in range(self.read_int())]
clazz = core_objects.get(constructor_id, None)
if clazz is None:
# If there was still no luck, give up
self.seek(-4) # Go back
pos = self.tell_position()
error = TypeNotFoundError(constructor_id, self.read())
self.set_position(pos)
raise error
return clazz.from_reader(self)
def tgread_vector(self):
"""Reads a vector (a list) of Telegram objects."""
if 0x1cb5c415 != self.read_int(signed=False):
raise RuntimeError('Invalid constructor code, vector was expected')
count = self.read_int()
return [self.tgread_object() for _ in range(count)]
# endregion
def close(self):
"""Closes the reader, freeing the BytesIO stream."""
self.stream.close()
# region Position related
def tell_position(self):
"""Tells the current position on the stream."""
return self.stream.tell()
def set_position(self, position):
"""Sets the current position on the stream."""
self.stream.seek(position)
def seek(self, offset):
"""
Seeks the stream position given an offset from the current position.
The offset may be negative.
"""
self.stream.seek(offset, os.SEEK_CUR)
# endregion
# region with block
def __enter__(self):
return self
def __exit__(self, exc_type, exc_val, exc_tb):
self.close()
# endregion | PypiClean |
/HiveNAS-0.1.5-py3-none-any.whl/core/abc/abc.py | import sys
sys.path.append('...')
import os
import time
import pandas as pd
import numpy as np
from .employee_bee import EmployeeBee
from .onlooker_bee import OnlookerBee
from .scout_bee import ScoutBee
from config import Params
from utils import Logger
from utils import FileHandler
class ArtificialBeeColony:
'''Artificial Bee Colony optimizer
Attributes:
colony_size (int, optional): bee population size; defaults to value set in \
:class:`~config.params.Params`
employees (list): list of all :class:`~core.abc.employee_bee.EmployeeBee` used in the \
optimization
eo_colony_ratio (float, optional): employees to onlookers ratio; defaults to value set in \
:class:`~config.params.Params`
obj_interface (:class:`~core.objective_interface.ObjectiveInterface`): the objective \
interface defining the task boundaries
onlookers (list): list of all :class:`~core.abc.onlooker_bee.OnlookerBee` used in the \
optimization
results_df (:class:`pandas.DataFrame`): the main results DataFrame containing all evaluated \
results
scouts (list): list of all :class:`~core.abc.scout_bee.ScoutBee`-sampled positions used in \
the optimization. Scout Bees are *not* instantiated.
scouts_count (int): number of scouts / parallel explorations. Follows the classical ABC \
1-to-1 scout-to-employee ratio
total_evals (int): total number of :func:`~core.abc.artificial_bee.ArtificialBee.evaluate` \
calls (for both Employees and Onlookers)
'''
def __init__(self, obj_interface, \
colony_size=Params['COLONY_SIZE'], \
employee_onlooker_ratio=Params['EMPLOYEE_ONLOOKER_RATIO']):
''' Initializes the ABC algorithm '''
self.obj_interface = obj_interface # Encapsulates the Search Space +
# Evaluation Strategy
self.colony_size = colony_size
self.eo_colony_ratio = employee_onlooker_ratio
self.scouts_count = int(self.colony_size * self.eo_colony_ratio)
def __init_scouts(self):
'''Initial :class:`~core.abc.food_source.FoodSource` sampling by Scout Bees \
*(does not evaluate fitness)*
'''
for _ in range(self.scouts_count):
self.scouts.append(ScoutBee.sample(self.obj_interface))
def __init_employees(self):
''' Instantiate Employee Bees and assign a Scout position to each '''
# Floor of (colony_size * ratio)
employee_count = int(self.colony_size * self.eo_colony_ratio)
for itr in range(employee_count):
# Split scouts evenly among employees
scout = self.scouts[int(itr / (employee_count / \
self.scouts_count))]
self.employees.append(EmployeeBee(scout))
def __init_onlookers(self):
'''Instantiate Onlooker Bees *(assigning Employees occurs after \
evaluation and probability calculation)*
'''
onlooker_count = self.colony_size - int(self.colony_size * self.eo_colony_ratio)
for itr in range(onlooker_count):
self.onlookers.append(OnlookerBee())
def __employee_bee_phase(self, itr):
'''Evaluate Scout-initialized position after :func:`~core.abc.scout_bee.ScoutBee.reset` \
or Search + Evaluate neighbor every subsequent iteration \
until abandonment limit
Args:
itr (int): current main ABC optimization iteration
'''
# Search and evaluate new or existing neighbor
for employee in self.employees:
# Ignored if unevaluated position exists (i.e Scout-sampled)
employee.search(self.obj_interface)
fs = employee.food_source
if fs is None or fs.encode_position() not in self.results_df['candidate']:
# Evaluate employee position
series = employee.evaluate(self.obj_interface, itr)
self.__save_results(series)
else:
# Already evaluated
fs.fitness = self.results_df[self.results_df['candidate'] == fs.encode_position()]['fitness'].values[0]
employee.greedy_select(fs, self.obj_interface.is_minimize)
# resampling the same candidate should count as a trial towards the abandonment limit?
# onlooker.employee.trials += 1 # to avoid being stuck
def __onlooker_bee_phase(self, itr):
'''Assign each Onlooker to an Employee, then Search + Evaluate a random neighbor
Args:
itr (int): current main ABC optimization iteration
'''
# Calculate Employee probability
sum_fitness = sum([employee.calculate_fitness() \
for employee in self.employees])
# Sum(probabilities) ≈ 1.0
probabilities = list(map(lambda employee: \
employee.compute_probability(sum_fitness), \
self.employees))
if not self.obj_interface.is_minimize:
# inverse weights to maximize the objective
# (assign more onlookers to higher fitness scores)
# reciprocals
probabilities = [1.0 / prob for prob in probabilities]
# normalize
sum_probs = sum(probabilities)
probabilities = [prob / sum_probs for prob in probabilities]
# Assign EmployeeBees to OnlookerBees, search, and evaluate neighbor
for onlooker in self.onlookers:
# Assign EmployeeBees to OnlookerBees
emp_idx = np.random.choice(len(self.employees), p=probabilities)
onlooker.assign_employee(self.employees[emp_idx])
# Search for a new random neighbor
onlooker.search(self.obj_interface)
fs = onlooker.food_source
if fs is None or fs.encode_position() not in self.results_df['candidate']:
# Evaluate employee position
series = onlooker.evaluate(self.obj_interface, itr)
self.__save_results(series)
else:
# Already evaluated
fs.fitness = self.results_df[self.results_df['candidate'] == fs.encode_position()]['fitness'].values[0]
onlooker.employee.greedy_select(fs, self.obj_interface.is_minimize)
# resampling the same candidate should count as a trial towards the abandonment limit?
# onlooker.employee.trials += 1 # to avoid being stuck
def __scout_bee_phase(self):
'''Check abandonment limits and rest employees accordingly
'''
ScoutBee.check_abandonment(self.employees, self.obj_interface)
def __save_results(self, series):
'''Save results dataframe to specified disk path
Args:
series (:class:`pandas.Series): Pandas Series (row) to be appended to the \
current :code:`results_df`
'''
if self.total_evals % Params['RESULTS_SAVE_FREQUENCY'] == 0:
self.results_df = self.results_df.append(series, ignore_index=True)
filename = f'{Params["CONFIG_VERSION"]}.csv'
if FileHandler.save_df(self.results_df,
Params.get_results_path(),
filename):
Logger.filesave_log(series['candidate'], series['weights_filename'])
def __momentum_phase(self):
'''Momentum Evaluation Augmentation Stochastic operator that adds \
:code:`Params['MOMENTUM_EPOCHS']` epochs to propel the evaluations of \
the most consistently converging candidates
'''
# calculate probabilities
calculated_momentums = self.results_df['momentum'] / (self.results_df['epochs'] + \
self.results_df['momentum_epochs'])
if sum(calculated_momentums) == 0:
# improbable edge case where the sum of momentums is exactly 0
return
probs = calculated_momentums / sum(calculated_momentums)
the_chosen_ones = dict.fromkeys([x for x in range(len(probs))], 0)
for _ in range(Params['MOMENTUM_EPOCHS']):
# probabilistically assign momentum epochs
idx = np.random.choice(len(probs), p=probs)
the_chosen_ones[idx] += 1
# training extension loop
for the_one, m_epochs in the_chosen_ones.items():
candidate_row = self.results_df.iloc[[the_one]]
# extract candidate info for additional training
candidate = candidate_row['candidate'].values[0]
weights_file = candidate_row['weights_filename'].values[0]
momentum = candidate_row['momentum'].values[0]
epochs = candidate_row['epochs'].values[0]
momentum_epochs = candidate_row['momentum_epochs'].values[0] + m_epochs
# train for m_epochs
Logger.momentum_evaluation_log(candidate,
candidate_row['fitness'].values[0],
m_epochs)
res = self.obj_interface.momentum_eval(candidate,
weights_file,
m_epochs)
# save new results
self.results_df.loc[the_one, 'fitness'] = res['fitness']
self.results_df.loc[the_one, 'momentum_epochs'] = momentum_epochs
def __reset_all(self):
''' Resets the ABC algorithm
'''
self.scouts = [] # List of FoodSources initially sampled
self.employees = []
self.onlookers = []
EmployeeBee.id_tracker = 0
OnlookerBee.id_tracker = 0
# init results dataframe
filename = f'_{Params["CONFIG_VERSION"]}.csv'
results_file = os.path.join(Params.get_results_path(), filename)
# resume from previously saved file if it exists
if Params['RESUME_FROM_RESULTS_FILE']:
self.results_df = FileHandler.load_df(results_file) # loads empty df if file not found
else:
cols = ['bee_type'
'bee_id',
'bee_parent',
'itr',
'candidate',
'fitness',
'center_fitness',
'epochs',
'params',
'weights_filename',
'time']
self.results_df = pd.DataFrame(columns=cols)
self.total_evals = len(self.results_df.index)
def optimize(self):
''' Main optimization loop
'''
Params.export_yaml(Params.get_results_path(),
f'{Params["CONFIG_VERSION"]}.yaml')
Logger.start_log()
self.__reset_all()
self.__init_scouts()
self.__init_employees()
self.__init_onlookers()
start_time = time.time()
fitness_selector = max if not self.obj_interface.is_minimize else min
''' Optimization loop '''
for itr in range(Params['ITERATIONS_COUNT']):
self.__employee_bee_phase(itr)
self.__onlooker_bee_phase(itr)
self.__momentum_phase()
self.__scout_bee_phase()
best_fitness = fitness_selector(self.results_df['fitness'].tolist())
if itr % 1 == 0:
Logger.status(itr,
'Best fitness: {}, Total time (s): {}'.format(best_fitness,
time.time() - start_time))
Logger.end_log() | PypiClean |
/3to2-1.1.1.zip/3to2-1.1.1/lib3to2/fixer_util.py | from lib2to3.pygram import token, python_symbols as syms
from lib2to3.pytree import Leaf, Node
from lib2to3.fixer_util import *
def Star(prefix=None):
return Leaf(token.STAR, '*', prefix=prefix)
def DoubleStar(prefix=None):
return Leaf(token.DOUBLESTAR, '**', prefix=prefix)
def Minus(prefix=None):
return Leaf(token.MINUS, '-', prefix=prefix)
def commatize(leafs):
"""
Accepts/turns: (Name, Name, ..., Name, Name)
Returns/into: (Name, Comma, Name, Comma, ..., Name, Comma, Name)
"""
new_leafs = []
for leaf in leafs:
new_leafs.append(leaf)
new_leafs.append(Comma())
del new_leafs[-1]
return new_leafs
def indentation(node):
"""
Returns the indentation for this node
Iff a node is in a suite, then it has indentation.
"""
while node.parent is not None and node.parent.type != syms.suite:
node = node.parent
if node.parent is None:
return ""
# The first three children of a suite are NEWLINE, INDENT, (some other node)
# INDENT.value contains the indentation for this suite
# anything after (some other node) has the indentation as its prefix.
if node.type == token.INDENT:
return node.value
elif node.prev_sibling is not None and node.prev_sibling.type == token.INDENT:
return node.prev_sibling.value
elif node.prev_sibling is None:
return ""
else:
return node.prefix
def indentation_step(node):
"""
Dirty little trick to get the difference between each indentation level
Implemented by finding the shortest indentation string
(technically, the "least" of all of the indentation strings, but
tabs and spaces mixed won't get this far, so those are synonymous.)
"""
r = find_root(node)
# Collect all indentations into one set.
all_indents = set(i.value for i in r.pre_order() if i.type == token.INDENT)
if not all_indents:
# nothing is indented anywhere, so we get to pick what we want
return " " # four spaces is a popular convention
else:
return min(all_indents)
def suitify(parent):
"""
Turn the stuff after the first colon in parent's children
into a suite, if it wasn't already
"""
for node in parent.children:
if node.type == syms.suite:
# already in the prefered format, do nothing
return
# One-liners have no suite node, we have to fake one up
for i, node in enumerate(parent.children):
if node.type == token.COLON:
break
else:
raise ValueError("No class suite and no ':'!")
# Move everything into a suite node
suite = Node(syms.suite, [Newline(), Leaf(token.INDENT, indentation(node) + indentation_step(node))])
one_node = parent.children[i+1]
one_node.remove()
one_node.prefix = ''
suite.append_child(one_node)
parent.append_child(suite)
def NameImport(package, as_name=None, prefix=None):
"""
Accepts a package (Name node), name to import it as (string), and
optional prefix and returns a node:
import <package> [as <as_name>]
"""
if prefix is None:
prefix = ""
children = [Name("import", prefix=prefix), package]
if as_name is not None:
children.extend([Name("as", prefix=" "),
Name(as_name, prefix=" ")])
return Node(syms.import_name, children)
_compound_stmts = (syms.if_stmt, syms.while_stmt, syms.for_stmt, syms.try_stmt, syms.with_stmt)
_import_stmts = (syms.import_name, syms.import_from)
def import_binding_scope(node):
"""
Generator yields all nodes for which a node (an import_stmt) has scope
The purpose of this is for a call to _find() on each of them
"""
# import_name / import_from are small_stmts
assert node.type in _import_stmts
test = node.next_sibling
# A small_stmt can only be followed by a SEMI or a NEWLINE.
while test.type == token.SEMI:
nxt = test.next_sibling
# A SEMI can only be followed by a small_stmt or a NEWLINE
if nxt.type == token.NEWLINE:
break
else:
yield nxt
# A small_stmt can only be followed by either a SEMI or a NEWLINE
test = nxt.next_sibling
# Covered all subsequent small_stmts after the import_stmt
# Now to cover all subsequent stmts after the parent simple_stmt
parent = node.parent
assert parent.type == syms.simple_stmt
test = parent.next_sibling
while test is not None:
# Yes, this will yield NEWLINE and DEDENT. Deal with it.
yield test
test = test.next_sibling
context = parent.parent
# Recursively yield nodes following imports inside of a if/while/for/try/with statement
if context.type in _compound_stmts:
# import is in a one-liner
c = context
while c.next_sibling is not None:
yield c.next_sibling
c = c.next_sibling
context = context.parent
# Can't chain one-liners on one line, so that takes care of that.
p = context.parent
if p is None:
return
# in a multi-line suite
while p.type in _compound_stmts:
if context.type == syms.suite:
yield context
context = context.next_sibling
if context is None:
context = p.parent
p = context.parent
if p is None:
break
def ImportAsName(name, as_name, prefix=None):
new_name = Name(name)
new_as = Name("as", prefix=" ")
new_as_name = Name(as_name, prefix=" ")
new_node = Node(syms.import_as_name, [new_name, new_as, new_as_name])
if prefix is not None:
new_node.prefix = prefix
return new_node
def future_import(feature, node):
root = find_root(node)
if does_tree_import("__future__", feature, node):
return
insert_pos = 0
for idx, node in enumerate(root.children):
if node.type == syms.simple_stmt and node.children and \
node.children[0].type == token.STRING:
insert_pos = idx + 1
break
for thing_after in root.children[insert_pos:]:
if thing_after.type == token.NEWLINE:
insert_pos += 1
continue
prefix = thing_after.prefix
thing_after.prefix = ""
break
else:
prefix = ""
import_ = FromImport("__future__", [Leaf(token.NAME, feature, prefix=" ")])
children = [import_, Newline()]
root.insert_child(insert_pos, Node(syms.simple_stmt, children, prefix=prefix))
def parse_args(arglist, scheme):
"""
Parse a list of arguments into a dict
"""
arglist = [i for i in arglist if i.type != token.COMMA]
ret_mapping = dict([(k, None) for k in scheme])
for i, arg in enumerate(arglist):
if arg.type == syms.argument and arg.children[1].type == token.EQUAL:
# argument < NAME '=' any >
slot = arg.children[0].value
ret_mapping[slot] = arg.children[2]
else:
slot = scheme[i]
ret_mapping[slot] = arg
return ret_mapping | PypiClean |
/Meringue-0.3.1.a.3.tar.gz/Meringue-0.3.1.a.3/meringue/forms.py |
from django import forms
class form_fieldsets(object):
'''
mixin разбивает форму на несколько групп
группы указываются в виде списка в Meta.fieldsets.
элементы списка - словари с ключами fields и title, содержащие список
полей и название группы соответственно
'''
def fieldsets(self):
fieldsets = getattr(self.Meta, 'fieldsets', [{'fields': self.fields.keys(), 'title': 'main'}])
result = list()
for fieldset in fieldsets:
result.append({
'fields': [forms.forms.BoundField(self, self.fields[f], f)
for f in fieldset['fields'] if f in self.fields],
'title': fieldset['title']
})
return result
class BaseFormSet(forms.BaseFormSet):
"""
добавил возможность указать префикс для всего набора форм включая
управляющие поля
"""
def __init__(self, *args, **kwargs):
prefix = self.prefix
super(BaseFormSet, self).__init__(*args, **kwargs)
if prefix:
self.prefix = prefix
def formset_factory(form, formset=BaseFormSet, extra=1, can_order=False,
can_delete=False, max_num=None, validate_max=False,
min_num=None, validate_min=False, prefix=None):
"""
помимо всего передаём префикс
"""
if min_num is None:
min_num = forms.formsets.DEFAULT_MIN_NUM
if max_num is None:
max_num = forms.formsets.DEFAULT_MAX_NUM
# hard limit on forms instantiated, to prevent memory-exhaustion attacks
# limit is simply max_num + DEFAULT_MAX_NUM (which is 2*DEFAULT_MAX_NUM
# if max_num is None in the first place)
absolute_max = max_num + forms.formsets.DEFAULT_MAX_NUM
attrs = {'form': form, 'extra': extra,
'can_order': can_order, 'can_delete': can_delete,
'min_num': min_num, 'max_num': max_num,
'absolute_max': absolute_max, 'validate_min': validate_min,
'validate_max': validate_max, 'prefix': prefix}
return type(form.__name__ + str('FormSet'), (formset,), attrs) | PypiClean |
/BigchainDB-2.2.2.tar.gz/BigchainDB-2.2.2/bigchaindb/backend/localmongodb/query.py | from pymongo import DESCENDING
from bigchaindb import backend
from bigchaindb.backend.exceptions import DuplicateKeyError
from bigchaindb.backend.utils import module_dispatch_registrar
from bigchaindb.backend.localmongodb.connection import LocalMongoDBConnection
from bigchaindb.common.transaction import Transaction
register_query = module_dispatch_registrar(backend.query)
@register_query(LocalMongoDBConnection)
def store_transactions(conn, signed_transactions):
return conn.run(conn.collection('transactions')
.insert_many(signed_transactions))
@register_query(LocalMongoDBConnection)
def get_transaction(conn, transaction_id):
return conn.run(
conn.collection('transactions')
.find_one({'id': transaction_id}, {'_id': 0}))
@register_query(LocalMongoDBConnection)
def get_transactions(conn, transaction_ids):
try:
return conn.run(
conn.collection('transactions')
.find({'id': {'$in': transaction_ids}},
projection={'_id': False}))
except IndexError:
pass
@register_query(LocalMongoDBConnection)
def store_metadatas(conn, metadata):
return conn.run(
conn.collection('metadata')
.insert_many(metadata, ordered=False))
@register_query(LocalMongoDBConnection)
def get_metadata(conn, transaction_ids):
return conn.run(
conn.collection('metadata')
.find({'id': {'$in': transaction_ids}},
projection={'_id': False}))
@register_query(LocalMongoDBConnection)
def store_asset(conn, asset):
try:
return conn.run(
conn.collection('assets')
.insert_one(asset))
except DuplicateKeyError:
pass
@register_query(LocalMongoDBConnection)
def store_assets(conn, assets):
return conn.run(
conn.collection('assets')
.insert_many(assets, ordered=False))
@register_query(LocalMongoDBConnection)
def get_asset(conn, asset_id):
try:
return conn.run(
conn.collection('assets')
.find_one({'id': asset_id}, {'_id': 0, 'id': 0}))
except IndexError:
pass
@register_query(LocalMongoDBConnection)
def get_assets(conn, asset_ids):
return conn.run(
conn.collection('assets')
.find({'id': {'$in': asset_ids}},
projection={'_id': False}))
@register_query(LocalMongoDBConnection)
def get_spent(conn, transaction_id, output):
query = {'inputs':
{'$elemMatch':
{'$and': [{'fulfills.transaction_id': transaction_id},
{'fulfills.output_index': output}]}}}
return conn.run(
conn.collection('transactions')
.find(query, {'_id': 0}))
@register_query(LocalMongoDBConnection)
def get_latest_block(conn):
return conn.run(
conn.collection('blocks')
.find_one(projection={'_id': False},
sort=[('height', DESCENDING)]))
@register_query(LocalMongoDBConnection)
def store_block(conn, block):
try:
return conn.run(
conn.collection('blocks')
.insert_one(block))
except DuplicateKeyError:
pass
@register_query(LocalMongoDBConnection)
def get_txids_filtered(conn, asset_id, operation=None, last_tx=None):
match = {
Transaction.CREATE: {'operation': 'CREATE', 'id': asset_id},
Transaction.TRANSFER: {'operation': 'TRANSFER', 'asset.id': asset_id},
None: {'$or': [{'asset.id': asset_id}, {'id': asset_id}]},
}[operation]
cursor = conn.run(conn.collection('transactions').find(match))
if last_tx:
cursor = cursor.sort([('$natural', DESCENDING)]).limit(1)
return (elem['id'] for elem in cursor)
@register_query(LocalMongoDBConnection)
def text_search(conn, search, *, language='english', case_sensitive=False,
diacritic_sensitive=False, text_score=False, limit=0, table='assets'):
cursor = conn.run(
conn.collection(table)
.find({'$text': {
'$search': search,
'$language': language,
'$caseSensitive': case_sensitive,
'$diacriticSensitive': diacritic_sensitive}},
{'score': {'$meta': 'textScore'}, '_id': False})
.sort([('score', {'$meta': 'textScore'})])
.limit(limit))
if text_score:
return cursor
return (_remove_text_score(obj) for obj in cursor)
def _remove_text_score(asset):
asset.pop('score', None)
return asset
@register_query(LocalMongoDBConnection)
def get_owned_ids(conn, owner):
cursor = conn.run(
conn.collection('transactions').aggregate([
{'$match': {'outputs.public_keys': owner}},
{'$project': {'_id': False}}
]))
return cursor
@register_query(LocalMongoDBConnection)
def get_spending_transactions(conn, inputs):
transaction_ids = [i['transaction_id'] for i in inputs]
output_indexes = [i['output_index'] for i in inputs]
query = {'inputs':
{'$elemMatch':
{'$and':
[
{'fulfills.transaction_id': {'$in': transaction_ids}},
{'fulfills.output_index': {'$in': output_indexes}}
]}}}
cursor = conn.run(
conn.collection('transactions').find(query, {'_id': False}))
return cursor
@register_query(LocalMongoDBConnection)
def get_block(conn, block_id):
return conn.run(
conn.collection('blocks')
.find_one({'height': block_id},
projection={'_id': False}))
@register_query(LocalMongoDBConnection)
def get_block_with_transaction(conn, txid):
return conn.run(
conn.collection('blocks')
.find({'transactions': txid},
projection={'_id': False, 'height': True}))
@register_query(LocalMongoDBConnection)
def delete_transactions(conn, txn_ids):
conn.run(conn.collection('assets').delete_many({'id': {'$in': txn_ids}}))
conn.run(conn.collection('metadata').delete_many({'id': {'$in': txn_ids}}))
conn.run(conn.collection('transactions').delete_many({'id': {'$in': txn_ids}}))
@register_query(LocalMongoDBConnection)
def store_unspent_outputs(conn, *unspent_outputs):
if unspent_outputs:
try:
return conn.run(
conn.collection('utxos').insert_many(
unspent_outputs,
ordered=False,
)
)
except DuplicateKeyError:
# TODO log warning at least
pass
@register_query(LocalMongoDBConnection)
def delete_unspent_outputs(conn, *unspent_outputs):
if unspent_outputs:
return conn.run(
conn.collection('utxos').delete_many({
'$or': [{
'$and': [
{'transaction_id': unspent_output['transaction_id']},
{'output_index': unspent_output['output_index']},
],
} for unspent_output in unspent_outputs]
})
)
@register_query(LocalMongoDBConnection)
def get_unspent_outputs(conn, *, query=None):
if query is None:
query = {}
return conn.run(conn.collection('utxos').find(query,
projection={'_id': False}))
@register_query(LocalMongoDBConnection)
def store_pre_commit_state(conn, state):
return conn.run(
conn.collection('pre_commit')
.replace_one({}, state, upsert=True)
)
@register_query(LocalMongoDBConnection)
def get_pre_commit_state(conn):
return conn.run(conn.collection('pre_commit').find_one())
@register_query(LocalMongoDBConnection)
def store_validator_set(conn, validators_update):
height = validators_update['height']
return conn.run(
conn.collection('validators').replace_one(
{'height': height},
validators_update,
upsert=True
)
)
@register_query(LocalMongoDBConnection)
def delete_validator_set(conn, height):
return conn.run(
conn.collection('validators').delete_many({'height': height})
)
@register_query(LocalMongoDBConnection)
def store_election(conn, election_id, height, is_concluded):
return conn.run(
conn.collection('elections').replace_one(
{'election_id': election_id,
'height': height},
{'election_id': election_id,
'height': height,
'is_concluded': is_concluded},
upsert=True,
)
)
@register_query(LocalMongoDBConnection)
def store_elections(conn, elections):
return conn.run(
conn.collection('elections').insert_many(elections)
)
@register_query(LocalMongoDBConnection)
def delete_elections(conn, height):
return conn.run(
conn.collection('elections').delete_many({'height': height})
)
@register_query(LocalMongoDBConnection)
def get_validator_set(conn, height=None):
query = {}
if height is not None:
query = {'height': {'$lte': height}}
cursor = conn.run(
conn.collection('validators')
.find(query, projection={'_id': False})
.sort([('height', DESCENDING)])
.limit(1)
)
return next(cursor, None)
@register_query(LocalMongoDBConnection)
def get_election(conn, election_id):
query = {'election_id': election_id}
return conn.run(
conn.collection('elections')
.find_one(query, projection={'_id': False},
sort=[('height', DESCENDING)])
)
@register_query(LocalMongoDBConnection)
def get_asset_tokens_for_public_key(conn, asset_id, public_key):
query = {'outputs.public_keys': [public_key],
'asset.id': asset_id}
cursor = conn.run(
conn.collection('transactions').aggregate([
{'$match': query},
{'$project': {'_id': False}}
]))
return cursor
@register_query(LocalMongoDBConnection)
def store_abci_chain(conn, height, chain_id, is_synced=True):
return conn.run(
conn.collection('abci_chains').replace_one(
{'height': height},
{'height': height, 'chain_id': chain_id,
'is_synced': is_synced},
upsert=True,
)
)
@register_query(LocalMongoDBConnection)
def delete_abci_chain(conn, height):
return conn.run(
conn.collection('abci_chains').delete_many({'height': height})
)
@register_query(LocalMongoDBConnection)
def get_latest_abci_chain(conn):
return conn.run(
conn.collection('abci_chains')
.find_one(projection={'_id': False}, sort=[('height', DESCENDING)])
) | PypiClean |
/DBSKR-2.0.tar.gz/DBSKR-2.0/DBSkr/client.py | import discord
import logging
import aiohttp
import asyncio
from typing import List
from .https import HttpClient
from .enums import WebsiteType
from .models import *
from .errors import ClientException, TooManyRequests
log = logging.getLogger(__name__)
class Client:
""" discord.py 에 있는 `discord.Client`를 기반으로 한 KoreanBots 클라이언트, top.gg 클라이언트, UniqueBots 클라이언트에 연결됩니다.
이 클래스를 통하여 KoreanBots API와 top.gg API, UniqueBots API에 연결됩니다.
일부 옵션은 `discord.Client`를 통하여 전달될 수 있습니다.
Parameters
----------
bot: discord.Client
discord.py의 클라이언트입니다.
Client 대신 `AutoShardedClient`, `Bot`, `AutoShardedBot`를 넣을 수도 있습니다.
koreanbots_token: Optional[str]
Koreanbots 에서 발급받은 봇의 토큰 키값 입니다. 해당 값을 설정하지 않을 경우 자동으로 활성화 되지 않습니다.
topgg_token: Optional[str]
Top.gg 에서 발급받은 봇의 토큰 키값 입니다. 해당 값을 설정하지 않을 경우 자동으로 활성화 되지 않습니다.
uniquebots_token: Optional[str]
UniqueBots 에서 발급받은 봇의 토큰 키값 입니다. 해당 값을 설정하지 않을 경우 자동으로 활성화 되지 않습니다.
session: Optional[aiohttp.ClientSession]
HttpClient 를 위한 aiohttp 의 ClientSession 클래스 입니다.
기본값은 None이며, 자동으로 ClientSession을 생성하게 됩니다.
loop: Optional[asyncio.AbstractEventLoop]
비동기를 사용하기 위한 asyncio.AbstractEventLoop 입니다.
기본값은 None이거나 bot 오브젝트가 들어왔을 때에는 bot.loop 입니다.
기본 asyncio.AbstractEventLoop는 asyncio.get_event_loop()를 사용하여 얻습니다.
autopost: Optional[bool]
자동으로 길드 정보를 등록된 토큰 값을 통하여 전송할지 설정합니다. 기본값은 False 입니다.
autopost_interval: Optional[int]
`autopost` 를 활성화하였을 때 작동하는 매개변수 입니다. 초단위로 주기를 설정합니다.
기본값은 3600초(30분) 간격으로 설정됩니다. 만약 설정할 경우 무조건 900초(15분) 이상 설정해야합니다.
"""
def __init__(self,
bot: discord.Client,
koreanbots_token: str = None,
topgg_token: str = None,
uniquebots_token: str = None,
session: aiohttp.ClientSession = None,
loop: asyncio.AbstractEventLoop = None,
autopost: bool = True,
autopost_interval: int = 3600):
self.koreanbots_token = koreanbots_token
self.topgg_token = topgg_token
self.uniquebots_token = uniquebots_token
self.client = bot
self.http = HttpClient(koreanbots_token=koreanbots_token,
topgg_token=topgg_token,
uniquebots_token=uniquebots_token,
session=session,
loop=loop)
self.autopost = autopost
self.autopost_interval: int = autopost_interval
self.loop = loop or self.client.loop
if autopost:
if self.autopost_interval < 900:
raise ClientException("autopost_interval must be greater than or equal to 900 seconds(15 minutes)")
self.autopost_task = self.loop.create_task(self._auto_post())
async def _auto_post(self):
"""
본 함수는 코루틴(비동기)함수 입니다.
`discord.Client`의 .guilds 값에 있는 목록의 갯수를 읽어서 `stats()`를 통하여 각 API로 자동으로 보냅니다.
만약에 아무 API 키가 없을 경우, 작동하지 않습니다. 최소 한 곳이상 등록해 주세요.
"""
await self.client.wait_until_ready()
while not self.client.is_closed():
if self.koreanbots_token == self.topgg_token == self.uniquebots_token is None:
return
log.info('Autoposting guild count.')
try:
await self.stats()
except TooManyRequests:
pass
await asyncio.sleep(self.autopost_interval)
def guild_count(self) -> int:
"""`discord.Client`의 .guilds 값에 있는 목록의 갯수를 읽어옵니다."""
return len(self.client.guilds)
async def bot(self, bot_id: int = None, web_type: List[WebsiteType] = None) -> WebsiteBot:
"""
본 함수는 코루틴(비동기)함수 입니다.
봇 정보를 불러옵니다.
Parameters
----------
bot_id: Optional[int]
봇 ID 값이 포함됩니다. 봇 ID 값이 포함되질 않을 경우, 자신의 봇 ID가 들어갑니다.
web_type: Optional[list[WebsiteType]]
값을 불러올 웹사이트를 선택하실 수 있습니다. 기본 값은 토큰 유/무에 따른 모든 웹클라이언트에 발송됩니다.
배열 안에 있는 웹사이트 유형에 따라 일부 정보만 불러올 수 있습니다.
Returns
-------
WebsiteBot:
웹사이트로 부터 들어온 봇 정보가 포함되어 있습니다.
"""
if bot_id is None:
bot_id = self.client.user.id
return await self.http.bot(bot_id=bot_id, web_type=web_type)
async def stats(self, guild_count: int = None, web_type: List[WebsiteType] = None) -> WebsiteStats:
"""
본 함수는 코루틴(비동기)함수 입니다.
봇 정보를 수신하거나 발신합니다.
Notes
-----
top.gg 에서는 :meth:`guild_count` 외에도, `shard_count`, `shard_ids` 등의 다른 데이터도 수신할 수 있지만,
기본 Client와 HttpClient에서는 지원하지 않습니다.
Parameters
----------
guild_count: Optional[int]
서버 갯수가 포함되어 있습니다.
web_type: Optional[list[WebsiteType]]
값을 보낼 웹사이트를 선택하실 수 있습니다. 기본 값은 토큰 유/무에 따른 모든 웹클라이언트에 발송됩니다.
배열 안에 있는 웹사이트 유형에 따라 일부 웹사이트에만 발송합니다.
Returns
-------
WebsiteStats:
웹사이트로 부터 들어온 봇 상태 정보가 포함되어 있습니다.
"""
if guild_count is None:
guild_count = self.guild_count()
return await self.http.stats(bot_id=self.client.user.id, guild_count=guild_count, web_type=web_type)
async def vote(self, user_id: int, web_type: List[WebsiteType] = None) -> WebsiteVote:
"""
본 함수는 코루틴(비동기)함수 입니다.
`user_id`에 들어있는 사용자가 봇에 하트 혹은 투표를 누른 여부에 대하여 불러옵니다.
Parameters
----------
user_id: int
유저 ID 값이 포함되어 있습니다.
web_type: Optional[list[WebsiteType]]
값을 불러올 웹사이트를 선택하실 수 있습니다. 기본 값은 토큰 유/무에 따른 모든 웹클라이언트에 발송됩니다.
배열 안에 있는 웹사이트 유형에 따라 일부 정보만 불러올 수 있습니다.
Returns
-------
WebsiteVote:
웹사이트로 부터 들어온 사용자 투표 정보에 대한 정보가 포함되어 있습니다.
"""
return await self.http.vote(bot_id=self.client.user.id, user_id=user_id, web_type=web_type)
async def votes(self, web_type: List[WebsiteType] = None) -> WebsiteVotes:
"""
본 함수는 코루틴(비동기)함수 입니다.
하트 혹은 투표를 누른 사용자 목록을 모두 불러옵니다.
Notes
-----
koreanbots 에서는 사용자 하트 목록을 불러오지 못합니다. topgg 혹은 uniquebots 모델만 사용이 가능합니다.
Parameters
----------
web_type: Optional[list[WebsiteType]]
값을 불러올 웹사이트를 선택하실 수 있습니다. 기본 값은 토큰 유/무에 따른 모든 웹클라이언트에 발송됩니다.
배열 안에 있는 웹사이트 유형에 따라 일부 정보만 불러올 수 있습니다.
Returns
-------
WebsiteVotes:
웹사이트로 부터 들어온 봇 하트 정보가 포함되어 있습니다.
"""
return await self.http.votes(bot_id=self.client.user.id, web_type=web_type)
async def users(self, user_id: int, web_type: List[WebsiteType] = None) -> WebsiteUser:
"""
본 함수는 코루틴(비동기)함수 입니다.
사용자 정보를 불러옵니다.
Parameters
----------
user_id: int
사용자 ID 값이 포함됩니다.
web_type: Optional[list[WebsiteType]]
값을 불러올 웹사이트를 선택하실 수 있습니다. 기본 값은 토큰 유/무에 따른 모든 웹클라이언트에 발송됩니다.
배열 안에 있는 웹사이트 유형에 따라 일부 정보만 불러올 수 있습니다.
Returns
-------
WebsiteUser
웹사이트로 부터 들어온 사용자 정보가 포함되어 있습니다.
"""
return await self.http.users(user_id=user_id, web_type=web_type) | PypiClean |
/MatrixBabou-0.1.3.tar.gz/MatrixBabou-0.1.3/README.md | # MatrixBabou
This library is for matrix analysis and data mining. Its created to facilitate some of notable tools in linear algebra like the matrix decompositions and the classical products (Kronecker, Khatri-Rao, Hadamard..) , and all this functions are accelerated via the parallel computing methods.
## Installation
``` python3 -m pip install --user MatrixBabou```
## How to use it?
It's used for Linear Algebra , matrix decompsition : NMF Decompsition <img src="https://render.githubusercontent.com/render/math?math=%5Cmathbf%7BA%5Capprox%20UV%7D%20"> ,
and also for solving matrix least square problem : <img src="https://render.githubusercontent.com/render/math?math=%5Cmathbf%7B%5C%7CAX-B%5C%7C_2%5E2%3D%20%5Csum_%7Bi%3D1%7D%5E%7Bn%7D%20%5C%7CAx_i-%20b_i%5C%7C_2%20%5E2%7D">
.
## Tutorial see
[](https://mybinder.org/v2/gh/mohamedlaminebabou/BABOUMATH/HEAD)
## License
© 2021
This repository is licensed under the MIT license. See LICENSE for details.
| PypiClean |
/CCC-2.0.1.tar.gz/CCC-2.0.1/ccc/static/crm/beefree/fileSaver.js | var saveAs = saveAs || "undefined" != typeof navigator && navigator.msSaveOrOpenBlob && navigator.msSaveOrOpenBlob.bind(navigator) || function (e) {
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n = function () {
return e.URL || e.webkitURL || e
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o = t.createElementNS("http://www.w3.org/1999/xhtml", "a"),
r = "download" in o,
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O = function () {
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y.readyState = y.DONE, h(), l(d)
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b = function (e) {
return function () {
return y.readyState !== y.DONE ? e.apply(this, arguments) : void 0
}
},
g = {
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exclusive: !1
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return y.readyState = y.INIT, s || (s = "download"), r ? (d = n().createObjectURL(t), o.href = d, o.download = s, i(o), y.readyState = y.DONE, h(), void l(d)) : (/^\s*(?:text\/(?:plain|xml)|application\/xml|\S*\/\S*\+xml)\s*;.*charset\s*=\s*utf-8/i.test(t.type) && (t = new Blob(["", t], {
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n["on" + e] = y["on" + e]
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e.getFile(s, {
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w = p.prototype,
y = function (e, t) {
return new p(e, t)
};
return w.abort = function () {
var e = this;
e.readyState = e.DONE, v(e, "abort")
}, w.readyState = w.INIT = 0, w.WRITING = 1, w.DONE = 2, w.error = w.onwritestart = w.onprogress = w.onwrite = w.onabort = w.onerror = w.onwriteend = null, y
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}("undefined" != typeof self && self || "undefined" != typeof window && window || this.content);
"undefined" != typeof module && module.exports ? module.exports.saveAs = saveAs : "undefined" != typeof define && null !== define && null != define.amd && define([], function () {
return saveAs
}); | PypiClean |
/Argonaut-0.3.4.tar.gz/Argonaut-0.3.4/argonaut/public/ckeditor/_source/plugins/editingblock/plugin.js | /*
Copyright (c) 2003-2010, CKSource - Frederico Knabben. All rights reserved.
For licensing, see LICENSE.html or http://ckeditor.com/license
*/
/**
* @fileOverview The default editing block plugin, which holds the editing area
* and source view.
*/
(function()
{
var getMode = function( editor, mode )
{
return editor._.modes && editor._.modes[ mode || editor.mode ];
};
// This is a semaphore used to avoid recursive calls between
// the following data handling functions.
var isHandlingData;
CKEDITOR.plugins.add( 'editingblock',
{
init : function( editor )
{
if ( !editor.config.editingBlock )
return;
editor.on( 'themeSpace', function( event )
{
if ( event.data.space == 'contents' )
event.data.html += '<br>';
});
editor.on( 'themeLoaded', function()
{
editor.fireOnce( 'editingBlockReady' );
});
editor.on( 'uiReady', function()
{
editor.setMode( editor.config.startupMode );
});
editor.on( 'afterSetData', function()
{
if ( !isHandlingData )
{
function setData()
{
isHandlingData = true;
getMode( editor ).loadData( editor.getData() );
isHandlingData = false;
}
if ( editor.mode )
setData();
else
{
editor.on( 'mode', function()
{
setData();
editor.removeListener( 'mode', arguments.callee );
});
}
}
});
editor.on( 'beforeGetData', function()
{
if ( !isHandlingData && editor.mode )
{
isHandlingData = true;
editor.setData( getMode( editor ).getData() );
isHandlingData = false;
}
});
editor.on( 'getSnapshot', function( event )
{
if ( editor.mode )
event.data = getMode( editor ).getSnapshotData();
});
editor.on( 'loadSnapshot', function( event )
{
if ( editor.mode )
getMode( editor ).loadSnapshotData( event.data );
});
// For the first "mode" call, we'll also fire the "instanceReady"
// event.
editor.on( 'mode', function( event )
{
// Do that once only.
event.removeListener();
// Redirect the focus into editor for webkit. (#5713)
CKEDITOR.env.webkit && editor.container.on( 'focus', function()
{
editor.focus();
});
if ( editor.config.startupFocus )
editor.focus();
// Fire instanceReady for both the editor and CKEDITOR, but
// defer this until the whole execution has completed
// to guarantee the editor is fully responsible.
setTimeout( function(){
editor.fireOnce( 'instanceReady' );
CKEDITOR.fire( 'instanceReady', null, editor );
} );
});
}
});
/**
* The current editing mode. An editing mode is basically a viewport for
* editing or content viewing. By default the possible values for this
* property are "wysiwyg" and "source".
* @type String
* @example
* alert( CKEDITOR.instances.editor1.mode ); // "wysiwyg" (e.g.)
*/
CKEDITOR.editor.prototype.mode = '';
/**
* Registers an editing mode. This function is to be used mainly by plugins.
* @param {String} mode The mode name.
* @param {Object} modeEditor The mode editor definition.
* @example
*/
CKEDITOR.editor.prototype.addMode = function( mode, modeEditor )
{
modeEditor.name = mode;
( this._.modes || ( this._.modes = {} ) )[ mode ] = modeEditor;
};
/**
* Sets the current editing mode in this editor instance.
* @param {String} mode A registered mode name.
* @example
* // Switch to "source" view.
* CKEDITOR.instances.editor1.setMode( 'source' );
*/
CKEDITOR.editor.prototype.setMode = function( mode )
{
var data,
holderElement = this.getThemeSpace( 'contents' ),
isDirty = this.checkDirty();
// Unload the previous mode.
if ( this.mode )
{
if ( mode == this.mode )
return;
this.fire( 'beforeModeUnload' );
var currentMode = getMode( this );
data = currentMode.getData();
currentMode.unload( holderElement );
this.mode = '';
}
holderElement.setHtml( '' );
// Load required mode.
var modeEditor = getMode( this, mode );
if ( !modeEditor )
throw '[CKEDITOR.editor.setMode] Unknown mode "' + mode + '".';
if ( !isDirty )
{
this.on( 'mode', function()
{
this.resetDirty();
this.removeListener( 'mode', arguments.callee );
});
}
modeEditor.load( holderElement, ( typeof data ) != 'string' ? this.getData() : data);
};
/**
* Moves the selection focus to the editing are space in the editor.
*/
CKEDITOR.editor.prototype.focus = function()
{
var mode = getMode( this );
if ( mode )
mode.focus();
};
})();
/**
* The mode to load at the editor startup. It depends on the plugins
* loaded. By default, the "wysiwyg" and "source" modes are available.
* @type String
* @default 'wysiwyg'
* @example
* config.startupMode = 'source';
*/
CKEDITOR.config.startupMode = 'wysiwyg';
/**
* Sets whether the editor should have the focus when the page loads.
* @type Boolean
* @default false
* @example
* config.startupFocus = true;
*/
CKEDITOR.config.startupFocus = false;
/**
* Whether to render or not the editing block area in the editor interface.
* @type Boolean
* @default true
* @example
* config.editingBlock = false;
*/
CKEDITOR.config.editingBlock = true;
/**
* Fired when a CKEDITOR instance is created, fully initialized and ready for interaction.
* @name CKEDITOR#instanceReady
* @event
* @param {CKEDITOR.editor} editor The editor instance that has been created.
*/ | PypiClean |
/Eureqa-1.76.0.tar.gz/Eureqa-1.76.0/eureqa/analysis/components/dropdown_layout.py | from eureqa.analysis.components.base import _Component
from eureqa.utils.jsonrest import _JsonREST
class DropdownLayout(_Component):
"""
DropdownLayout component
Lets users pick to see other components based on titles (works with "many" items). Similar to a :class:`~eureqa.analysis.components.tabbed_layout.TabbedLayout` but more suited to larger lists of items.
For example::
d = DropdownLayout(label="Choose an item", padding="1.0em")
d.add_component(title="choice 1", content=HtmlBlock("This is item 1"))
d.add_component(title="choice 2", content=HtmlBlock("This is item 2"))
analysis.create_card(d)
:param str label: The overall label
:param str padding: padding, specified in ems. Example "0.5em"
"""
_component_type_str = 'DROPDOWN_LAYOUT'
def __init__(self, label=None, padding=None, _analysis=None, _component_id=None, _component_type=None):
if label is not None:
self._label = label
if padding is not None:
self._padding = padding
# A place to put Components that don't have IDs yet,
# until we're '_registered()'d with an Analysis so can go get IDs for them.
self._queued_components = []
super(DropdownLayout, self).__init__(_analysis=_analysis, _component_id=_component_id, _component_type=_component_type)
@property
def label(self):
"""Text label for the Dropdown box
:rtype: str
"""
return self._label
@label.setter
def label(self, val):
self._label = val
self._update()
@property
def padding(self):
"""Padding (spacing) for this DropdownLayout, expressed in ems. Example "0.5em"
:rtype: int
"""
return self._padding
@padding.setter
def padding(self, val):
self._padding = val
self._update()
class _TitledComponent(object):
"""Internal class: Representation of one element in the dropdown
:param str title: Title of the Component in the dropdown list
:param eureqa.analysis.components._Component component: The Component
"""
def __init__(self, title, component):
self.title = title
self.component = component
def _to_json(self):
return { "value": self.title,
"component_id": getattr(self.component, "_component_id", None) }
@property
def components(self):
"""Internal: Set of components represented in the dropdown
:return: list() of :class:`~eureqa.analysis.components.base._Component`
"""
if not hasattr(self, "_components_cache"):
self._components_cache = [_Component._get(_analysis=self._analysis,
_component_id=x["component_id"]) for x in self._components]
return list(self._components_cache)
def _ensure_components_list(self):
if not hasattr(self, "_components"):
self._components = []
self._components_cache = []
def add_component(self, title, component=None, content=None):
"""
Add a Component to the DropdownLayout
:param str title: Title of the Component in the dropdown list
:param _Component component: The Component to add to the dropdown list
:param _Component content: Deprecated, Do not use
"""
if hasattr(self, "_analysis"):
component._associate(self._analysis)
#content remains for backwards compatibility
#make sure only one is set and use that
if (component is None) == (content is None):
raise Exception("Incorrect arguments to add_component. Either component or content must be set, but not both.")
if content is not None:
component = content
# If we don't have an Analysis yet, queue this Component to be saved later
if not hasattr(self, "_analysis"):
self._queued_components.append(DropdownLayout._TitledComponent(title, component))
return
self._ensure_components_list()
self._components.append(DropdownLayout._TitledComponent(title, component)._to_json())
self._components_cache.append(component)
def _walk_children(self):
if hasattr(self, "_components"):
for c in self.components:
yield c
for c in self._queued_components:
yield c.component
def _register(self, analysis):
if len(self._queued_components) != 0:
self._ensure_components_list()
for c in self._queued_components:
self._components.append(c._to_json())
self._components_cache.append(c.component)
self._queued_components = []
super(DropdownLayout, self)._register(analysis)
def _associate_with_table(self, analysis):
for c in self._queued_components:
self._ensure_components_list()
self._components += c.component._associate_with_table(analysis)
self._queued_components = []
return super(DropdownLayout, self)._associate_with_table(analysis) + self._components
def _fields(self):
return super(DropdownLayout, self)._fields() + [ 'label', 'padding', 'components' ] | PypiClean |
/AuthKit-0.4.5.tar.gz/AuthKit-0.4.5/docs/scripts/shBrushPython.js | dp.sh.Brushes.Python = function()
{
var keywords = 'and assert break class continue def del elif else except exec ' +
'finally for from global if import in is lambda not or object pass print ' +
'raise return try yield while';
var builtins = 'self __builtin__ __dict__ __future__ __methods__ __members__ __author__ __email__ __version__' +
'__class__ __bases__ __import__ __main__ __name__ __doc__ __self__ __debug__ __slots__ ' +
'abs append apply basestring bool buffer callable chr classmethod clear close cmp coerce compile complex ' +
'conjugate copy count delattr dict dir divmod enumerate Ellipsis eval execfile extend False file fileno filter float flush ' +
'get getattr globals has_key hasarttr hash hex id index input insert int intern isatty isinstance isubclass ' +
'items iter keys len list locals long map max min mode oct open ord pop pow property range ' +
'raw_input read readline readlines reduce reload remove repr reverse round seek setattr slice sum ' +
'staticmethod str super tell True truncate tuple type unichr unicode update values write writelines xrange zip';
var magicmethods = '__abs__ __add__ __and__ __call__ __cmp__ __coerce__ __complex__ __concat__ __contains__ __del__ __delattr__ __delitem__ ' +
'__delslice__ __div__ __divmod__ __float__ __getattr__ __getitem__ __getslice__ __hash__ __hex__ __eq__ __le__ __lt__ __gt__ __ge__ ' +
'__iadd__ __isub__ __imod__ __idiv__ __ipow__ __iand__ __ior__ __ixor__ __ilshift__ __irshift__ ' +
'__invert__ __init__ __int__ __inv__ __iter__ __len__ __long__ __lshift__ __mod__ __mul__ __new__ __neg__ __nonzero__ __oct__ __or__ ' +
'__pos__ __pow__ __radd__ __rand__ __rcmp__ __rdiv__ __rdivmod__ __repeat__ __repr__ __rlshift__ __rmod__ __rmul__ ' +
'__ror__ __rpow__ __rrshift__ __rshift__ __rsub__ __rxor__ __setattr__ __setitem__ __setslice__ __str__ __sub__ __xor__';
var exceptions = 'Exception StandardError ArithmeticError LookupError EnvironmentError AssertionError AttributeError EOFError ' +
'FutureWarning IndentationError OverflowWarning PendingDeprecationWarning ReferenceError RuntimeWarning ' +
'SyntaxWarning TabError UnicodeDecodeError UnicodeEncodeError UnicodeTranslateError UserWarning Warning ' +
'IOError ImportError IndexError KeyError KeyboardInterrupt MemoryError NameError NotImplementedError OSError ' +
'RuntimeError StopIteration SyntaxError SystemError SystemExit TypeError UnboundLocalError UnicodeError ValueError ' +
'FloatingPointError OverflowError WindowsError ZeroDivisionError';
var types = 'NoneType TypeType IntType LongType FloatType ComplexType StringType UnicodeType BufferType TupleType ListType ' +
'DictType FunctionType LambdaType CodeType ClassType UnboundMethodType InstanceType MethodType BuiltinFunctionType BuiltinMethodType ' +
'ModuleType FileType XRangeType TracebackType FrameType SliceType EllipsisType';
var commonlibs = 'anydbm array asynchat asyncore AST base64 binascii binhex bisect bsddb buildtools bz2 ' +
'BaseHTTPServer Bastion calendar cgi cmath cmd codecs codeop commands compiler copy copy_reg ' +
'cPickle crypt cStringIO csv curses Carbon CGIHTTPServer ConfigParser Cookie datetime dbhash ' +
'dbm difflib dircache distutils doctest DocXMLRPCServer email encodings errno exceptions fcntl ' +
'filecmp fileinput ftplib gc gdbm getopt getpass glob gopherlib gzip heapq htmlentitydefs ' +
'htmllib httplib HTMLParser imageop imaplib imgfile imghdr imp inspect itertools jpeg keyword ' +
'linecache locale logging mailbox mailcap marshal math md5 mhlib mimetools mimetypes mimify mmap ' +
'mpz multifile mutex MimeWriter netrc new nis nntplib nsremote operator optparse os parser pickle pipes ' +
'popen2 poplib posix posixfile pprint preferences profile pstats pwd pydoc pythonprefs quietconsole ' +
'quopri Queue random re readline resource rexec rfc822 rgbimg sched select sets sgmllib sha shelve shutil ' +
'signal site smtplib socket stat statcache string struct symbol sys syslog SimpleHTTPServer ' +
'SimpleXMLRPCServer SocketServer StringIO tabnanny tarfile telnetlib tempfile termios textwrap ' +
'thread threading time timeit token tokenize traceback tty types Tkinter unicodedata unittest ' +
'urllib urllib2 urlparse user UserDict UserList UserString warnings weakref webbrowser whichdb ' +
'xml xmllib xmlrpclib xreadlines zipfile zlib';
this.regexList = [
{ regex: new RegExp('#.*$', 'gm'), css: 'comment' }, // comments
{ regex: new RegExp('^\\s*"""(.|\n)*?"""\\s*$', 'gm'), css: 'docstring' }, // documentation string "
{ regex: new RegExp('^\\s*\'\'\'(.|\n)*?\'\'\'\\s*$', 'gm'), css: 'docstring' }, // documentation string '
{ regex: new RegExp('"""(.|\n)*?"""', 'gm'), css: 'string' }, // multi-line strings "
{ regex: new RegExp("'''(.|\n)*?'''", 'gm'), css: 'string' }, // multi-line strings '
{ regex: dp.sh.RegexLib.DoubleQuotedString, css: 'string' }, // double quoted strings
{ regex: dp.sh.RegexLib.SingleQuotedString, css: 'string' }, // single quoted strings
{ regex: new RegExp(this.GetKeywords(keywords), 'gm'), css: 'keyword' }, // keywords
{ regex: new RegExp(this.GetKeywords(builtins), 'gm'), css: 'builtins' }, // builtin objects, functions, methods, magic attributes
{ regex: new RegExp(this.GetKeywords(magicmethods), 'gm'), css: 'magicmethods' }, // special methods
{ regex: new RegExp(this.GetKeywords(exceptions), 'gm'), css: 'exceptions' }, // standard exception classes
{ regex: new RegExp(this.GetKeywords(types), 'gm'), css: 'types' }, // types from types.py
{ regex: new RegExp(this.GetKeywords(commonlibs), 'gm'), css: 'commonlibs' } // common standard library modules
];
this.CssClass = 'dp-py';
}
dp.sh.Brushes.Python.prototype = new dp.sh.Highlighter();
dp.sh.Brushes.Python.Aliases = ['py', 'python']; | PypiClean |
/AyiinXd-0.0.8-cp311-cp311-macosx_10_9_universal2.whl/fipper/methods/chats/promote_chat_member.py |
from typing import Union
import fipper
from fipper import raw, types, errors
class PromoteChatMember:
async def promote_chat_member(
self: "fipper.Client",
chat_id: Union[int, str],
user_id: Union[int, str],
privileges: "types.ChatPrivileges" = None,
) -> bool:
"""Promote or demote a user in a supergroup or a channel.
You must be an administrator in the chat for this to work and must have the appropriate admin rights.
Pass False for all boolean parameters to demote a user.
.. include:: /_includes/usable-by/users-bots.rst
Parameters:
chat_id (``int`` | ``str``):
Unique identifier (int) or username (str) of the target chat.
user_id (``int`` | ``str``):
Unique identifier (int) or username (str) of the target user.
For a contact that exists in your Telegram address book you can use his phone number (str).
privileges (:obj:`~fipper.types.ChatPrivileges`, *optional*):
New user privileges.
Returns:
``bool``: True on success.
Example:
.. code-block:: python
# Promote chat member to admin
await app.promote_chat_member(chat_id, user_id)
"""
chat_id = await self.resolve_peer(chat_id)
user_id = await self.resolve_peer(user_id)
# See Chat.promote_member for the reason of this (instead of setting types.ChatPrivileges() as default arg).
if privileges is None:
privileges = types.ChatPrivileges()
try:
raw_chat_member = (await self.invoke(
raw.functions.channels.GetParticipant(
channel=chat_id,
participant=user_id
)
)).participant
except errors.RPCError:
raw_chat_member = None
rank = None
if isinstance(raw_chat_member, raw.types.ChannelParticipantAdmin):
rank = raw_chat_member.rank
await self.invoke(
raw.functions.channels.EditAdmin(
channel=chat_id,
user_id=user_id,
admin_rights=raw.types.ChatAdminRights(
anonymous=privileges.is_anonymous,
change_info=privileges.can_change_info,
post_messages=privileges.can_post_messages,
edit_messages=privileges.can_edit_messages,
delete_messages=privileges.can_delete_messages,
ban_users=privileges.can_restrict_members,
invite_users=privileges.can_invite_users,
pin_messages=privileges.can_pin_messages,
add_admins=privileges.can_promote_members,
manage_call=privileges.can_manage_video_chats,
other=privileges.can_manage_chat
),
rank=rank or ""
)
)
return True | PypiClean |
/BioFlow-0.2.3.tar.gz/BioFlow-0.2.3/bioflow/utils/linalg_routines.py | from itertools import combinations_with_replacement, combinations, product
from random import randrange, shuffle
import matplotlib.pyplot as plt
import numpy as np
from scipy.sparse import lil_matrix, triu
from scipy.sparse.linalg import eigsh
from sklearn.cluster import spectral_clustering
import warnings
from bioflow.utils.general_utils.useful_wrappers import time_it_wrapper
from bioflow.utils.log_behavior import get_logger
from bioflow.utils.dataviz import render_2d_matrix
log = get_logger(__name__)
warnings.filterwarnings("ignore", message="Changing the sparsity structure")
@time_it_wrapper
def normalize_laplacian(non_normalized_laplacian):
"""
performs a normalization of a laplacian of a graph
:param non_normalized_laplacian: non-normalized laplacian
:type non_normalized_laplacian: scipy.sparse matrix
:return:
"""
non_normalized_laplacian = lil_matrix(non_normalized_laplacian)
diagonal_terms = np.array(non_normalized_laplacian.diagonal().tolist())
diagonal_terms[diagonal_terms == 0] = 1
diagonal_terms = np.reshape(
diagonal_terms, (non_normalized_laplacian.shape[0], 1))
normalisation_matrix = np.sqrt(np.dot(diagonal_terms, diagonal_terms.T))
matrix_to_return = lil_matrix(
non_normalized_laplacian /
normalisation_matrix)
return matrix_to_return
def average_off_diag_in_sub_matrix(matrix, indexes, show=False):
"""
Calculates the average of off-diagonal elements in a submatrix defined by the indexes
:param matrix:
:param indexes:
:param show:
:return:
"""
extracted_matrix = lil_matrix((len(indexes), len(indexes)))
main2local_idx = dict((j, i) for i, j in enumerate(sorted(indexes)))
# inverts the sorting of the indexes?
for index1, index2 in combinations_with_replacement(indexes, 2):
extracted_matrix[
main2local_idx[index1],
main2local_idx[index2]] = matrix[
index1,
index2]
extracted_matrix[
main2local_idx[index2],
main2local_idx[index1]] = matrix[
index2,
index1]
if show:
plt.imshow(
extracted_matrix.toarray(),
cmap='jet',
interpolation="nearest")
plt.colorbar()
plt.show()
if extracted_matrix.shape[0] > 1:
retvalue = np.sum(np.triu(extracted_matrix.toarray(), 1)) / \
(extracted_matrix.shape[0] * (extracted_matrix.shape[0] - 1) / 2)
return retvalue
else:
return 0
def average_interset_linkage(matrix, index_sets):
"""
Calculates the average linkage between several index sets within a matrix
:param matrix: matrix of linkage
:param index_sets: sets between which we want to calculate the linkage
:return: average linkage between sets
"""
accumulator = 0
counter = 0
for set1, set2 in combinations(index_sets, 2):
for idx1, idx2 in product(set1, set2):
accumulator += matrix[idx2, idx1]
counter += 1
return accumulator / counter
def show_eigenvals_and_eigenvects(eigenvals, eigenvects, biggest_limit,
annotation, eigenvect_indexing_names=None):
"""
Shows eigenvalues and eigenvectors supplied as parameters. If no names associated to specific
eigenvectors positions are provided, will just print eigenvalues and exist.
Else, will print statistics for the
:param eigenvals: eigenvalues
:param eigenvects: eigenvectors
:param biggest_limit: how many biggest eigenvectors we would like to see
:param annotation: additional annotation we would like to record in logs
:param eigenvect_indexing_names: dict mapping indexes to names
:return: None, this is a print-representation method only
"""
log.info(annotation)
log.info('########################')
# if no index characters are supplied, just prints all the the eigenvalues
# and exits
if not eigenvect_indexing_names:
for eigval in eigenvals.tolist():
log.info(eigval)
log.info('<============================>\n')
return None
absolute = np.absolute(eigenvects)
biggest_eigenvects = np.argsort(absolute, axis=0)[-biggest_limit:, :]
super_list = []
# iterate through the the eigenvalues, sums the contribution of each position in the N biggest
# eigenvectors and adds it ot the log console
for i, eigval in enumerate(reversed(eigenvals.tolist())):
string_to_render = [
'associated eigval: %s' %
str(eigval),
'Index \t value \t Descriptor']
local_set = set()
# the couple of lines below a kind a little bit esoteric...
for index, value in reversed(zip(biggest_eigenvects[:, i],
absolute[biggest_eigenvects[:, i], i])):
if int(value ** 2 * 1000) > 0:
local_set.add(index)
string_to_render.append('\t'.join([str(index), str(
'{0:.4f}'.format(value ** 2)), str(eigenvect_indexing_names[index])]))
string_to_render.append('<==================>')
# log the string we want to render only if it is the first time local set has been
# encountered
if local_set not in super_list:
super_list.append(local_set)
log.info('\n'.join(string_to_render))
return None
@time_it_wrapper
def analyze_eigenvects(
non_normalized_laplacian,
num_first_eigenvals_to_analyse,
index_chars,
permutations_limiter=1e7):
"""
Performs an analysis of eigenvalues and eigenvectors of a non-normalized laplacian matrix
in order to detect if anything found is statistically significant compared to a permutation
control.
:param non_normalized_laplacian:
:param num_first_eigenvals_to_analyse:
:param index_chars: dict mapping indexes to names
:param permutations_limiter: maximal number of permutations
:return:
"""
log.debug('analyzing the laplacian with %s items and %s non-zero elements',
non_normalized_laplacian.shape[0] ** 2,
len(non_normalized_laplacian.nonzero()[0]))
# normalize the laplacian
normalized_laplacian = normalize_laplacian(non_normalized_laplacian)
true_eigenvals, true_eigenvects = eigsh(
normalized_laplacian, num_first_eigenvals_to_analyse)
# extract non-zero indexes of matrix off-diagonal terms
triangular_upper = lil_matrix(triu(normalized_laplacian))
triangular_upper.setdiag(0)
triangular_upper_nonzero_idxs = triangular_upper.nonzero()
log.info("reassigning the indexes for %s items, with %s non-zero elements",
triangular_upper.shape[0] ** 2,
len(triangular_upper_nonzero_idxs[0]))
# permute the off-diagonal terms
nonzero_coordinates = zip(triangular_upper_nonzero_idxs[0].tolist(),
triangular_upper_nonzero_idxs[1].tolist())
shuffle(nonzero_coordinates)
if len(nonzero_coordinates) > permutations_limiter:
nonzero_coordinates = nonzero_coordinates[:permutations_limiter]
for i, j in nonzero_coordinates:
k = randrange(1, triangular_upper.shape[0] - 1)
l = randrange(k + 1, triangular_upper.shape[0])
triangular_upper[
i, j], triangular_upper[
k, l] = (
triangular_upper[
k, l], triangular_upper[
i, j])
# rebuild normalized laplacian matrix from diagonal matrix
off_diag_laplacian = triangular_upper + triangular_upper.T
diag_laplacian = [- item for sublist in off_diag_laplacian.sum(
axis=0).tolist() for item in sublist]
off_diag_laplacian.setdiag(diag_laplacian)
normalized_permutation_control = normalize_laplacian(off_diag_laplacian)
# recompute the eigenvalues
control_eigenvals, control_eigenvects = eigsh(
normalized_permutation_control, num_first_eigenvals_to_analyse)
show_eigenvals_and_eigenvects(true_eigenvals, true_eigenvects, 20,
'true laplacian', index_chars)
show_eigenvals_and_eigenvects(
control_eigenvals,
control_eigenvects,
20,
'random')
def cluster_nodes(dist_laplacian, clusters=3, show=False):
"""
Clusters indexes together based on a distance lapalacian. Basicall a wrapper for a spectral
clustering from scipy package
:param dist_laplacian: laplacian of internode distance
:param clusters: desired number of clusters
:param show: if we want to show the laplacian we are performing the computation on
:return:
"""
norm_laplacian = normalize_laplacian(dist_laplacian)
norm_laplacian.setdiag(0)
norm_laplacian = -norm_laplacian
if show:
render_2d_matrix(norm_laplacian.toarray(), "Node clustering normalized laplacian")
labels = spectral_clustering(
norm_laplacian,
n_clusters=clusters,
eigen_solver='arpack')
return np.reshape(labels, (dist_laplacian.shape[0], 1))
if __name__ == "__main__":
pass | PypiClean |
/Ax_Metrics-0.9.2.tar.gz/Ax_Metrics-0.9.2/docs/developers.md |
# Ax_Metrics Developers Overview
This document is not required reading for *using* Ax_Metrics. For an introduction and general user information, please see the [README](../README.md).
Ax_Metrics is a library targeted largely at developers, designed to empower BI initiatives. These users may gain helpful or interesting background information here.
But this document is aimed primarily at developers looking to work with and contribute to the actual Ax_Metrics project itself.
## Source Code & Contributing
Fork, submit pull requests, report issues, and discuss at:
- https://github.com/axonchisel/ax_metrics - GitHub official page
## Technical Overview
### Project Structure
```
/ axonchisel
|
|
+-- py/ Python code root
| |
| +-- axonchisel/ axonchisel
| | (top level shared package namespace)
| ... (see "Python Package Hierarchy" below)
|
+-- tests/ (full package py.test test coverage)
| |
| +-- assets/ (assets for testing: MQL, MDefL, etc.)
|
+-- docs/ (documentation)
```
### Python Package Hierarchy
```
/py/axonchisel/ axonchisel
| (top level shared package namespace)
|
|
+-- metrics/ axonchisel.metrics
| (Ax_Metrics project)
|
|
+-- run/ axonchisel.metrics.run
| | (processing queries at runtime)
| |
| +-- servant/ axonchisel.metrics.run.servant
| | (wraps fetch, query, engine, report process)
| |
| +-- mqengine/ axonchisel.metrics.run.mqengine
| (process queries to obtain data)
| (MQEngine = Metrics Query Engine)
|
|
+-- io/ axonchisel.metrics.io
| | (connections to the world: stats, output)
| |
| +-- emfetch/ axonchisel.metrics.io.emfetch
| | (plugins to access raw metrics data)
| | (EMFetch = Extensible Metrics Fetcher)
| |
| +-- erout/ axonchisel.metrics.io.erout
| (plugins to output various report formats)
| (ERout = Extensible Report Outputter)
|
|
+-- foundation/ axonchisel.metrics.foundation
| (core data models, logic, parsers)
|
+-- ax/ axonchisel.metrics.foundation.ax
| (common base classes and utilities)
|
|
+-- query/ axonchisel.metrics.foundation.query
| (query models, MQL parser)
| (MQL = Metrics Query Language)
|
+-- data/ axonchisel.metrics.foundation.data
| (time range x value points, series)
|
+-- metricdef/ axonchisel.metrics.foundation.metricdef
| (core metrics models, MDefL parser)
| (MDefL = Metrics Definition Language)
|
+-- chrono/ axonchisel.metrics.foundation.chrono
(Time-related models, math, logic)
```
### Architecture / Dependency Graph
```
RUN HERE
_____v______
/ | |
| | servant |
|R |____________|
|U | |
|N __________|_ |
| | | |
| | mqengine | |
\ |____________| |
| | |
/ _________|__ | _|__________
|I | | | | |
|O METRICS <-| emfetch | | | erout |-> REPORTS
\ |____________| | |____________|
| | | | | |
/ | | | | | |
|F _______| | |_____ | | |
|O | ______|_____ | _|________|_ .....|......
|U | | | | | | : :
|N | | data | | | query | : data :
|D | |____________| | |____________| :............:
|A | | | | |
|T _____|____|_ _|___|____|_
|I | | | |
|O | metricdef | | chrono |
|N |____________| |____________|
\
```
------------------------------------------------------------------------------
*Return to the [README](../README.md)*
------------------------------------------------------------------------------
Ax_Metrics - Copyright (c) 2014 Dan Kamins, AxonChisel.net
| PypiClean |
/Febiss-0.9.0.tar.gz/Febiss-0.9.0/febiss/cli/febiss_settings.py | __copyright__ = """
This code is licensed under the MIT license.
Copyright University Innsbruck, Institute for General, Inorganic, and Theoretical Chemistry, Podewitz Group
See LICENSE for details
"""
import sys
def help_message():
print("\nThis program writes all possible settings of the GIST analysis "
"and the plotting into 'all-settings.yaml'.")
print('It requires no arguments.')
sys.exit()
def main():
if len(sys.argv) > 1:
help_message()
from ..utilities.gist import GistAnalyser
# the arguments are necessary in the init, otherwise exception
analyser = GistAnalyser(**{'top': 'molecule.parm7', 'trajectory_name': 'molecule'})
# write all analysis options
with open('all-settings.yaml', 'w') as f:
f.write("# Two general blocks 'gist' and 'plotting' are given.\n")
f.write('# For each block all settings and the default values are given and\n')
f.write('# this file can be used directly after filling out the two required settings.\n')
f.write('# Where it may be useful, a possible input is given behind the default value as a comment.\n')
f.write('gist:\n')
for key in analyser.required_keys:
f.write(' ' + str(key) + ": " + str(analyser.__dict__[key]) + ' # this has to be filled out\n')
for key in sorted(analyser.allowed_keys):
if key == 'frame_selection':
f.write(' ' + str(key) + ": " + str(analyser.__dict__[key]) + " # example: '1 1000 5'\n")
elif key == 'grid_center':
f.write(' ' + str(key) + ": " + str(analyser.__dict__[key]) + " # example: (10.0, 5.0, 0.0)\n")
elif key == 'rdf_names':
f.write(' ' + str(key) + ": " + str(analyser.__dict__[key]).replace('center of solute',
'center\ of\ solute') + '\n')
else:
f.write(' ' + str(key) + ": " + str(analyser.__dict__[key]) + '\n')
from ..plotting.display import Plot
display = Plot()
# write all plotting options
with open('all-settings.yaml', 'a') as f:
f.write('plotting:\n')
for key in sorted(display.allowed_keys):
f.write(' ' + str(key) + ": " + str(display.__dict__[key]) + '\n')
print("Wrote all possible settings into 'all-settings.yaml' in the current directory.")
sys.exit()
if __name__ == '__main__':
main() | PypiClean |
/Argonaut-0.3.4.tar.gz/Argonaut-0.3.4/argonaut/public/ckeditor/_source/lang/cy.js | /*
Copyright (c) 2003-2010, CKSource - Frederico Knabben. All rights reserved.
For licensing, see LICENSE.html or http://ckeditor.com/license
*/
/**
* @fileOverview Defines the {@link CKEDITOR.lang} object, for the
* Welsh language.
*/
/**#@+
@type String
@example
*/
/**
* Constains the dictionary of language entries.
* @namespace
*/
CKEDITOR.lang['cy'] =
{
/**
* The language reading direction. Possible values are "rtl" for
* Right-To-Left languages (like Arabic) and "ltr" for Left-To-Right
* languages (like English).
* @default 'ltr'
*/
dir : 'ltr',
/*
* Screenreader titles. Please note that screenreaders are not always capable
* of reading non-English words. So be careful while translating it.
*/
editorTitle : 'Rich text editor, %1, press ALT 0 for help.', // MISSING
// ARIA descriptions.
toolbar : 'Toolbar', // MISSING
editor : 'Rich Text Editor', // MISSING
// Toolbar buttons without dialogs.
source : 'Tarddle',
newPage : 'Tudalen newydd',
save : 'Cadw',
preview : 'Rhagolwg',
cut : 'Torri',
copy : 'Copïo',
paste : 'Gludo',
print : 'Argraffu',
underline : 'Tanlinellu',
bold : 'Bras',
italic : 'Italig',
selectAll : 'Dewis Popeth',
removeFormat : 'Tynnu Fformat',
strike : 'Llinell Trwyddo',
subscript : 'Is-sgript',
superscript : 'Uwchsgript',
horizontalrule : 'Mewnosod Llinell Lorweddol',
pagebreak : 'Mewnosod Toriad Tudalen i Argraffu',
unlink : 'Datgysylltu',
undo : 'Dadwneud',
redo : 'Ailadrodd',
// Common messages and labels.
common :
{
browseServer : 'Pori\'r Gweinydd',
url : 'URL',
protocol : 'Protocol',
upload : 'Lanlwytho',
uploadSubmit : 'Anfon i\'r Gweinydd',
image : 'Delwedd',
flash : 'Flash',
form : 'Ffurflen',
checkbox : 'Blwch ticio',
radio : 'Botwm Radio',
textField : 'Maes Testun',
textarea : 'Ardal Testun',
hiddenField : 'Maes Cudd',
button : 'Botwm',
select : 'Maes Dewis',
imageButton : 'Botwm Delwedd',
notSet : '<heb osod>',
id : 'Id',
name : 'Name',
langDir : 'Cyfeiriad Iaith',
langDirLtr : 'Chwith i\'r Dde (LTR)',
langDirRtl : 'Dde i\'r Chwith (RTL)',
langCode : 'Cod Iaith',
longDescr : 'URL Disgrifiad Hir',
cssClass : 'Dosbarth Dalen Arddull',
advisoryTitle : 'Teitl Cynghorol',
cssStyle : 'Arddull',
ok : 'Iawn',
cancel : 'Diddymu',
close : 'Close', // MISSING
preview : 'Preview', // MISSING
generalTab : 'Cyffredinol',
advancedTab : 'Uwch',
validateNumberFailed : 'Nid yw\'r gwerth hwn yn rhif.',
confirmNewPage : 'Byddwch yn colli unrhyw newidiadau i\'r cynnwys sydd heb eu cadw. A ydych am barhau i lwytho tudalen newydd?',
confirmCancel : 'Mae rhai o\'r opsiynau wedi\'u newid. A ydych wir am gau\'r deialog?',
options : 'Options', // MISSING
target : 'Target', // MISSING
targetNew : 'New Window (_blank)', // MISSING
targetTop : 'Topmost Window (_top)', // MISSING
targetSelf : 'Same Window (_self)', // MISSING
targetParent : 'Parent Window (_parent)', // MISSING
langDirLTR : 'Left to Right (LTR)', // MISSING
langDirRTL : 'Right to Left (RTL)', // MISSING
styles : 'Style', // MISSING
cssClasses : 'Stylesheet Classes', // MISSING
// Put the voice-only part of the label in the span.
unavailable : '%1<span class="cke_accessibility">, ddim ar gael</span>'
},
contextmenu :
{
options : 'Context Menu Options' // MISSING
},
// Special char dialog.
specialChar :
{
toolbar : 'Mewnosod Nodau Arbennig',
title : 'Dewis Nod Arbennig',
options : 'Special Character Options' // MISSING
},
// Link dialog.
link :
{
toolbar : 'Dolen',
other : '<eraill>',
menu : 'Golygu Dolen',
title : 'Dolen',
info : 'Gwyb ar y Ddolen',
target : 'Targed',
upload : 'Lanlwytho',
advanced : 'Uwch',
type : 'Math y Ddolen',
toUrl : 'URL', // MISSING
toAnchor : 'Dolen at angor yn y testun',
toEmail : 'E-bost',
targetFrame : '<ffrâm>',
targetPopup : '<ffenestr bop>',
targetFrameName : 'Enw Ffrâm y Targed',
targetPopupName : 'Enw Ffenestr Bop',
popupFeatures : 'Nodweddion Ffenestr Bop',
popupResizable : 'Ailfeintiol',
popupStatusBar : 'Bar Statws',
popupLocationBar: 'Bar Safle',
popupToolbar : 'Bar Offer',
popupMenuBar : 'Dewislen',
popupFullScreen : 'Sgrin Llawn (IE)',
popupScrollBars : 'Barrau Sgrolio',
popupDependent : 'Dibynnol (Netscape)',
popupWidth : 'Lled',
popupLeft : 'Safle Chwith',
popupHeight : 'Uchder',
popupTop : 'Safle Top',
id : 'Id',
langDir : 'Cyfeiriad Iaith',
langDirLTR : 'Chwith i\'r Dde (LTR)',
langDirRTL : 'Dde i\'r Chwith (RTL)',
acccessKey : 'Allwedd Mynediad',
name : 'Enw',
langCode : 'Cod Iaith',
tabIndex : 'Indecs Tab',
advisoryTitle : 'Teitl Cynghorol',
advisoryContentType : 'Math y Cynnwys Cynghorol',
cssClasses : 'Dosbarthiadau Dalen Arddull',
charset : 'Set nodau\'r Adnodd Cysylltiedig',
styles : 'Arddull',
selectAnchor : 'Dewiswch Angor',
anchorName : 'Gan Enw\'r Angor',
anchorId : 'Gan Id yr Elfen',
emailAddress : 'Cyfeiriad E-Bost',
emailSubject : 'Testun y Message Subject',
emailBody : 'Pwnc y Neges',
noAnchors : '(Dim angorau ar gael yn y ddogfen)',
noUrl : 'Teipiwch URL y ddolen',
noEmail : 'Teipiwch gyfeiriad yr e-bost'
},
// Anchor dialog
anchor :
{
toolbar : 'Angor',
menu : 'Golygwch yr Angor',
title : 'Priodweddau\'r Angor',
name : 'Enw\'r Angor',
errorName : 'Teipiwch enw\'r angor'
},
// List style dialog
list:
{
numberedTitle : 'Numbered List Properties', // MISSING
bulletedTitle : 'Bulleted List Properties', // MISSING
type : 'Type', // MISSING
start : 'Start', // MISSING
validateStartNumber :'List start number must be a whole number.', // MISSING
circle : 'Circle', // MISSING
disc : 'Disc', // MISSING
square : 'Square', // MISSING
none : 'None', // MISSING
notset : '<not set>', // MISSING
armenian : 'Armenian numbering', // MISSING
georgian : 'Georgian numbering (an, ban, gan, etc.)', // MISSING
lowerRoman : 'Lower Roman (i, ii, iii, iv, v, etc.)', // MISSING
upperRoman : 'Upper Roman (I, II, III, IV, V, etc.)', // MISSING
lowerAlpha : 'Lower Alpha (a, b, c, d, e, etc.)', // MISSING
upperAlpha : 'Upper Alpha (A, B, C, D, E, etc.)', // MISSING
lowerGreek : 'Lower Greek (alpha, beta, gamma, etc.)', // MISSING
decimal : 'Decimal (1, 2, 3, etc.)', // MISSING
decimalLeadingZero : 'Decimal leading zero (01, 02, 03, etc.)' // MISSING
},
// Find And Replace Dialog
findAndReplace :
{
title : 'Chwilio ac Amnewid',
find : 'Chwilio',
replace : 'Amnewid',
findWhat : 'Chwilio\'r term:',
replaceWith : 'Amnewid gyda:',
notFoundMsg : 'Nid oedd y testun wedi\'i ddarganfod.',
matchCase : 'Cyfateb i\'r cas',
matchWord : 'Cyfateb gair cyfan',
matchCyclic : 'Cyfateb cylchol',
replaceAll : 'Amnewid pob un',
replaceSuccessMsg : 'Amnewidiwyd %1 achlysur.'
},
// Table Dialog
table :
{
toolbar : 'Tabl',
title : 'Nodweddion Tabl',
menu : 'Nodweddion Tabl',
deleteTable : 'Dileu Tabl',
rows : 'Rhesi',
columns : 'Colofnau',
border : 'Maint yr Ymyl',
align : 'Aliniad',
alignLeft : 'Chwith',
alignCenter : 'Canol',
alignRight : 'Dde',
width : 'Lled',
widthPx : 'picsel',
widthPc : 'y cant',
widthUnit : 'width unit', // MISSING
height : 'Uchder',
cellSpace : 'Bylchu\'r gell',
cellPad : 'Padio\'r gell',
caption : 'Pennawd',
summary : 'Crynodeb',
headers : 'Penynnau',
headersNone : 'Dim',
headersColumn : 'Colofn gyntaf',
headersRow : 'Rhes gyntaf',
headersBoth : 'Y Ddau',
invalidRows : 'Mae\'n rhaid cael o leiaf un rhes.',
invalidCols : 'Mae\'n rhaid cael o leiaf un golofn.',
invalidBorder : 'Mae\'n rhaid i faint yr ymyl fod yn rhif.',
invalidWidth : 'Mae\'n rhaid i led y tabl fod yn rhif.',
invalidHeight : 'Mae\'n rhaid i uchder y tabl fod yn rhif.',
invalidCellSpacing : 'Mae\'n rhaid i fylchiad y gell fod yn rhif.',
invalidCellPadding : 'Mae\'n rhaid i badiad y gell fod yn rhif.',
cell :
{
menu : 'Cell',
insertBefore : 'Mewnosod Cell Cyn',
insertAfter : 'Mewnosod Cell Ar Ôl',
deleteCell : 'Dileu Celloedd',
merge : 'Cyfuno Celloedd',
mergeRight : 'Cyfuno i\'r Dde',
mergeDown : 'Cyfuno i Lawr',
splitHorizontal : 'Hollti\'r Gell yn Lorweddol',
splitVertical : 'Hollti\'r Gell yn Fertigol',
title : 'Priodweddau\'r Gell',
cellType : 'Math y Gell',
rowSpan : 'Rhychwant Rhesi',
colSpan : 'Rhychwant Colofnau',
wordWrap : 'Lapio Geiriau',
hAlign : 'Aliniad Llorweddol',
vAlign : 'Aliniad Fertigol',
alignTop : 'Top',
alignMiddle : 'Canol',
alignBottom : 'Gwaelod',
alignBaseline : 'Baslinell',
bgColor : 'Lliw Cefndir',
borderColor : 'Lliw Ymyl',
data : 'Data',
header : 'Pennyn',
yes : 'Ie',
no : 'Na',
invalidWidth : 'Mae\'n rhaid i led y gell fod yn rhif.',
invalidHeight : 'Mae\'n rhaid i uchder y gell fod yn rhif.',
invalidRowSpan : 'Mae\'n rhaid i rychwant y rhesi fod yn gyfanrif.',
invalidColSpan : 'Mae\'n rhaid i rychwant y colofnau fod yn gyfanrif.',
chooseColor : 'Choose'
},
row :
{
menu : 'Rhes',
insertBefore : 'Mewnosod Rhes Cyn',
insertAfter : 'Mewnosod Rhes Ar Ôl',
deleteRow : 'Dileu Rhesi'
},
column :
{
menu : 'Colofn',
insertBefore : 'Mewnosod Colofn Cyn',
insertAfter : 'Mewnosod Colofn Ar Ôl',
deleteColumn : 'Dileu Colofnau'
}
},
// Button Dialog.
button :
{
title : 'Priodweddau Botymau',
text : 'Testun (Gwerth)',
type : 'Math',
typeBtn : 'Botwm',
typeSbm : 'Gyrru',
typeRst : 'Ailosod'
},
// Checkbox and Radio Button Dialogs.
checkboxAndRadio :
{
checkboxTitle : 'Priodweddau Blwch Ticio',
radioTitle : 'Priodweddau Botwm Radio',
value : 'Gwerth',
selected : 'Dewiswyd'
},
// Form Dialog.
form :
{
title : 'Priodweddau Ffurflen',
menu : 'Priodweddau Ffurflen',
action : 'Gweithred',
method : 'Dull',
encoding : 'Amgodio'
},
// Select Field Dialog.
select :
{
title : 'Priodweddau Maes Dewis',
selectInfo : 'Gwyb Dewis',
opAvail : 'Opsiynau ar Gael',
value : 'Gwerth',
size : 'Maint',
lines : 'llinellau',
chkMulti : 'Caniatàu aml-ddewisiadau',
opText : 'Testun',
opValue : 'Gwerth',
btnAdd : 'Ychwanegu',
btnModify : 'Newid',
btnUp : 'Lan',
btnDown : 'Lawr',
btnSetValue : 'Gosod fel gwerth a ddewiswyd',
btnDelete : 'Dileu'
},
// Textarea Dialog.
textarea :
{
title : 'Priodweddau Ardal Testun',
cols : 'Colofnau',
rows : 'Rhesi'
},
// Text Field Dialog.
textfield :
{
title : 'Priodweddau Maes Testun',
name : 'Enw',
value : 'Gwerth',
charWidth : 'Lled Nod',
maxChars : 'Uchafswm y Nodau',
type : 'Math',
typeText : 'Testun',
typePass : 'Cyfrinair'
},
// Hidden Field Dialog.
hidden :
{
title : 'Priodweddau Maes Cudd',
name : 'Enw',
value : 'Gwerth'
},
// Image Dialog.
image :
{
title : 'Priodweddau Delwedd',
titleButton : 'Priodweddau Botwm Delwedd',
menu : 'Priodweddau Delwedd',
infoTab : 'Gwyb Delwedd',
btnUpload : 'Anfon i\'r Gweinydd',
upload : 'lanlwytho',
alt : 'Testun Amgen',
width : 'Lled',
height : 'Uchder',
lockRatio : 'Cloi Cymhareb',
unlockRatio : 'Unlock Ratio', // MISSING
resetSize : 'Ailosod Maint',
border : 'Ymyl',
hSpace : 'BwlchLl',
vSpace : 'BwlchF',
align : 'Alinio',
alignLeft : 'Chwith',
alignRight : 'Dde',
alertUrl : 'Rhowch URL y ddelwedd',
linkTab : 'Dolen',
button2Img : 'Ydych am drawsffurfio\'r botwm ddelwedd hwn ar ddelwedd syml?',
img2Button : 'Ydych am drawsffurfio\'r ddelwedd hon ar fotwm delwedd?',
urlMissing : 'URL tarddle\'r ddelwedd ar goll.',
validateWidth : 'Width must be a whole number.', // MISSING
validateHeight : 'Height must be a whole number.', // MISSING
validateBorder : 'Border must be a whole number.', // MISSING
validateHSpace : 'HSpace must be a whole number.', // MISSING
validateVSpace : 'VSpace must be a whole number.' // MISSING
},
// Flash Dialog
flash :
{
properties : 'Priodweddau Flash',
propertiesTab : 'Priodweddau',
title : 'Priodweddau Flash',
chkPlay : 'AwtoChwarae',
chkLoop : 'Lwpio',
chkMenu : 'Galluogi Dewislen Flash',
chkFull : 'Caniatàu Sgrin Llawn',
scale : 'Graddfa',
scaleAll : 'Dangos pob',
scaleNoBorder : 'Dim Ymyl',
scaleFit : 'Ffit Union',
access : 'Mynediad Sgript',
accessAlways : 'Pob amser',
accessSameDomain: 'R\'un parth',
accessNever : 'Byth',
align : 'Alinio',
alignLeft : 'Chwith',
alignAbsBottom : 'Gwaelod Abs',
alignAbsMiddle : 'Canol Abs',
alignBaseline : 'Baslinell',
alignBottom : 'Gwaelod',
alignMiddle : 'Canol',
alignRight : 'Dde',
alignTextTop : 'Testun Top',
alignTop : 'Top',
quality : 'Ansawdd',
qualityBest : 'Gorau',
qualityHigh : 'Uchel',
qualityAutoHigh : 'Uchel Awto',
qualityMedium : 'Canolig',
qualityAutoLow : 'Isel Awto',
qualityLow : 'Isel',
windowModeWindow: 'Ffenestr',
windowModeOpaque: 'Afloyw',
windowModeTransparent : 'Tryloyw',
windowMode : 'Modd ffenestr',
flashvars : 'Newidynnau ar gyfer Flash',
bgcolor : 'Lliw cefndir',
width : 'Lled',
height : 'Uchder',
hSpace : 'BwlchLl',
vSpace : 'BwlchF',
validateSrc : 'Ni all yr URL fod yn wag.',
validateWidth : 'Rhaid i\'r Lled fod yn rhif.',
validateHeight : 'Rhaid i\'r Uchder fod yn rhif.',
validateHSpace : 'Rhaid i\'r BwlchLl fod yn rhif.',
validateVSpace : 'Rhaid i\'r BwlchF fod yn rhif.'
},
// Speller Pages Dialog
spellCheck :
{
toolbar : 'Gwirio Sillafu',
title : 'Gwirio Sillafu',
notAvailable : 'Nid yw\'r gwasanaeth hwn ar gael yn bresennol.',
errorLoading : 'Error loading application service host: %s.',
notInDic : 'Nid i\'w gael yn y geiriadur',
changeTo : 'Newid i',
btnIgnore : 'Anwybyddu Un',
btnIgnoreAll : 'Anwybyddu Pob',
btnReplace : 'Amnewid Un',
btnReplaceAll : 'Amnewid Pob',
btnUndo : 'Dadwneud',
noSuggestions : '- Dim awgrymiadau -',
progress : 'Gwirio sillafu yn ar y gweill...',
noMispell : 'Gwirio sillafu wedi gorffen: Dim camsillaf.',
noChanges : 'Gwirio sillafu wedi gorffen: Dim newidiadau',
oneChange : 'Gwirio sillafu wedi gorffen: Newidiwyd 1 gair',
manyChanges : 'Gwirio sillafu wedi gorffen: Newidiwyd %1 gair',
ieSpellDownload : 'Gwirydd sillafu heb ei arsefydlu. A ydych am ei lawrlwytho nawr?'
},
smiley :
{
toolbar : 'Gwenoglun',
title : 'Mewnosod Gwenoglun',
options : 'Smiley Options' // MISSING
},
elementsPath :
{
eleLabel : 'Elements path', // MISSING
eleTitle : 'Elfen %1'
},
numberedlist : 'Mewnosod/Tynnu Rhestr Rhifol',
bulletedlist : 'Mewnosod/Tynnu Rhestr Bwled',
indent : 'Cynyddu\'r Mewnoliad',
outdent : 'Lleihau\'r Mewnoliad',
justify :
{
left : 'Alinio i\'r Chwith',
center : 'Alinio i\'r Canol',
right : 'Alinio i\'r Dde',
block : 'Aliniad Bloc'
},
blockquote : 'Dyfyniad bloc',
clipboard :
{
title : 'Gludo',
cutError : 'Nid yw gosodiadau diogelwch eich porwr yn caniatàu\'r golygydd i gynnal \'gweithredoedd torri\' yn awtomatig. Defnyddiwch y bysellfwrdd (Ctrl/Cmd+X).',
copyError : 'Nid yw gosodiadau diogelwch eich porwr yn caniatàu\'r golygydd i gynnal \'gweithredoedd copïo\' yn awtomatig. Defnyddiwch y bysellfwrdd (Ctrl/Cmd+C).',
pasteMsg : 'Gludwch i mewn i\'r blwch canlynol gan ddefnyddio\'r bysellfwrdd (<strong>Ctrl/Cmd+V</strong>) a phwyso <strong>Iawn</strong>.',
securityMsg : 'Oherwydd gosodiadau diogelwch eich porwr, nid yw\'r porwr yn gallu ennill mynediad i\'r data ar y clipfwrdd yn uniongyrchol. Mae angen i chi ei ludo eto i\'r ffenestr hon.',
pasteArea : 'Paste Area' // MISSING
},
pastefromword :
{
confirmCleanup : 'The text you want to paste seems to be copied from Word. Do you want to clean it before pasting?', // MISSING
toolbar : 'Gludo o Word',
title : 'Gludo o Word',
error : 'It was not possible to clean up the pasted data due to an internal error' // MISSING
},
pasteText :
{
button : 'Gludo fel testun plaen',
title : 'Gludo fel Testun Plaen'
},
templates :
{
button : 'Templedi',
title : 'Templedi Cynnwys',
options : 'Template Options', // MISSING
insertOption : 'Amnewid y cynnwys go iawn',
selectPromptMsg : 'Dewiswch dempled i\'w agor yn y golygydd',
emptyListMsg : '(Dim templedi wedi\'u diffinio)'
},
showBlocks : 'Dangos Blociau',
stylesCombo :
{
label : 'Arddulliau',
panelTitle : 'Formatting Styles', // MISSING
panelTitle1 : 'Arddulliau Bloc',
panelTitle2 : 'Arddulliau Mewnol',
panelTitle3 : 'Arddulliau Gwrthrych'
},
format :
{
label : 'Fformat',
panelTitle : 'Fformat Paragraff',
tag_p : 'Normal',
tag_pre : 'Wedi\'i Fformatio',
tag_address : 'Cyfeiriad',
tag_h1 : 'Pennawd 1',
tag_h2 : 'Pennawd 2',
tag_h3 : 'Pennawd 3',
tag_h4 : 'Pennawd 4',
tag_h5 : 'Pennawd 5',
tag_h6 : 'Pennawd 6',
tag_div : 'Normal (DIV)'
},
div :
{
title : 'Create Div Container', // MISSING
toolbar : 'Create Div Container', // MISSING
cssClassInputLabel : 'Stylesheet Classes', // MISSING
styleSelectLabel : 'Style', // MISSING
IdInputLabel : 'Id', // MISSING
languageCodeInputLabel : ' Language Code', // MISSING
inlineStyleInputLabel : 'Inline Style', // MISSING
advisoryTitleInputLabel : 'Advisory Title', // MISSING
langDirLabel : 'Language Direction', // MISSING
langDirLTRLabel : 'Left to Right (LTR)', // MISSING
langDirRTLLabel : 'Right to Left (RTL)', // MISSING
edit : 'Edit Div', // MISSING
remove : 'Remove Div' // MISSING
},
font :
{
label : 'Ffont',
voiceLabel : 'Ffont',
panelTitle : 'Enw\'r Ffont'
},
fontSize :
{
label : 'Maint',
voiceLabel : 'Maint y Ffont',
panelTitle : 'Maint y Ffont'
},
colorButton :
{
textColorTitle : 'Lliw Testun',
bgColorTitle : 'Lliw Cefndir',
panelTitle : 'Colors', // MISSING
auto : 'Awtomatig',
more : 'Mwy o Liwiau...'
},
colors :
{
'000' : 'Du',
'800000' : 'Marwn',
'8B4513' : 'Brown Cyfrwy',
'2F4F4F' : 'Llechen Tywyll',
'008080' : 'Corhwyad',
'000080' : 'Nefi',
'4B0082' : 'Indigo',
'696969' : 'Llwyd Pwl',
'B22222' : 'Bric Tân',
'A52A2A' : 'Brown',
'DAA520' : 'Rhoden Aur',
'006400' : 'Gwyrdd Tywyll',
'40E0D0' : 'Gwyrddlas',
'0000CD' : 'Glas Canolig',
'800080' : 'Porffor',
'808080' : 'Llwyd',
'F00' : 'Coch',
'FF8C00' : 'Oren Tywyll',
'FFD700' : 'Aur',
'008000' : 'Gwyrdd',
'0FF' : 'Cyan',
'00F' : 'Glas',
'EE82EE' : 'Fioled',
'A9A9A9' : 'Llwyd Tywyll',
'FFA07A' : 'Samwn Golau',
'FFA500' : 'Oren',
'FFFF00' : 'Melyn',
'00FF00' : 'Leim',
'AFEEEE' : 'Gwyrddlas Golau',
'ADD8E6' : 'Glas Golau',
'DDA0DD' : 'Eirinen',
'D3D3D3' : 'Llwyd Golau',
'FFF0F5' : 'Gwrid Lafant',
'FAEBD7' : 'Gwyn Hynafol',
'FFFFE0' : 'Melyn Golau',
'F0FFF0' : 'Melwn Gwyrdd Golau',
'F0FFFF' : 'Aswr',
'F0F8FF' : 'Glas Alys',
'E6E6FA' : 'Lafant',
'FFF' : 'Gwyn'
},
scayt :
{
title : 'Gwirio\'r Sillafu Wrth Deipio',
opera_title : 'Not supported by Opera', // MISSING
enable : 'Galluogi SCAYT',
disable : 'Analluogi SCAYT',
about : 'Ynghylch SCAYT',
toggle : 'Togl SCAYT',
options : 'Opsiynau',
langs : 'Ieithoedd',
moreSuggestions : 'Awgrymiadau pellach',
ignore : 'Anwybyddu',
ignoreAll : 'Anwybyddu pob',
addWord : 'Ychwanegu Gair',
emptyDic : 'Ni ddylai enw\'r geiriadur fod yn wag.',
optionsTab : 'Opsiynau',
allCaps : 'Ignore All-Caps Words', // MISSING
ignoreDomainNames : 'Ignore Domain Names', // MISSING
mixedCase : 'Ignore Words with Mixed Case', // MISSING
mixedWithDigits : 'Ignore Words with Numbers', // MISSING
languagesTab : 'Ieithoedd',
dictionariesTab : 'Geiriaduron',
dic_field_name : 'Dictionary name', // MISSING
dic_create : 'Create', // MISSING
dic_restore : 'Restore', // MISSING
dic_delete : 'Delete', // MISSING
dic_rename : 'Rename', // MISSING
dic_info : 'Initially the User Dictionary is stored in a Cookie. However, Cookies are limited in size. When the User Dictionary grows to a point where it cannot be stored in a Cookie, then the dictionary may be stored on our server. To store your personal dictionary on our server you should specify a name for your dictionary. If you already have a stored dictionary, please type it\'s name and click the Restore button.', // MISSING
aboutTab : 'Ynghylch'
},
about :
{
title : 'Ynghylch CKEditor',
dlgTitle : 'Ynghylch CKEditor',
moreInfo : 'Am wybodaeth ynghylch trwyddedau, ewch i\'n gwefan:',
copy : 'Hawlfraint © $1. Cedwir pob hawl.'
},
maximize : 'Mwyhau',
minimize : 'Lleihau',
fakeobjects :
{
anchor : 'Angor',
flash : 'Animeiddiant Flash',
div : 'Toriad Tudalen',
unknown : 'Gwrthrych Anhysbys'
},
resize : 'Llusgo i ailfeintio',
colordialog :
{
title : 'Dewis lliw',
options : 'Color Options', // MISSING
highlight : 'Uwcholeuo',
selected : 'Dewiswyd',
clear : 'Clirio'
},
toolbarCollapse : 'Cyfangu\'r Bar Offer',
toolbarExpand : 'Ehangu\'r Bar Offer',
bidi :
{
ltr : 'Text direction from left to right', // MISSING
rtl : 'Text direction from right to left' // MISSING
}
}; | PypiClean |
/DeCiDa-1.1.5.tar.gz/DeCiDa-1.1.5/decida/Itemizer.py | from builtins import object
import itertools
class Itemizer(object):
"""
**synopsis**:
Cross-product iterator with tag.
Each *Itemizer* iteration produces a list of elements, one from each
contributing list of iterators.
At each iteration, the tag() method produces a string for
naming or reporting.
**constructor arguments**:
**\*iterators** (iterables)
variable arguments are each an iterator
**tag** (str, default=None)
format string for the tag. If None, then tag is
"%s. ... %s" (number of iterators)
**results**:
* the Itemizer instance iterates over the cross-product of
all of the specified iterators.
* each iteration produces a list of elements, one from each iterator.
* the tag() method produces a string for naming or reporting.
**example** (from test_Itemizer):
>>> from decida.Itemizer import Itemizer
>>> procs = ["TT", "SS", "FF"]
>>> vdds = [0.9, 1.0, 1.1]
>>> temps = [0, 25, 100]
>>> ix = Itemizer(procs, vdds, temps, tag="%s.V_%s.T_%s")
>>> for proc, vdd, temp in ix :
>>> tag = ix.tag()
>>> print tag, proc, vdd, temp
TT.V_0.9.T_0 TT 0.9 0
TT.V_0.9.T_25 TT 0.9 25
TT.V_0.9.T_100 TT 0.9 100
TT.V_1.0.T_0 TT 1.0 0
TT.V_1.0.T_25 TT 1.0 25
TT.V_1.0.T_100 TT 1.0 100
TT.V_1.1.T_0 TT 1.1 0
TT.V_1.1.T_25 TT 1.1 25
TT.V_1.1.T_100 TT 1.1 100
SS.V_0.9.T_0 SS 0.9 0
SS.V_0.9.T_25 SS 0.9 25
SS.V_0.9.T_100 SS 0.9 100
SS.V_1.0.T_0 SS 1.0 0
SS.V_1.0.T_25 SS 1.0 25
SS.V_1.0.T_100 SS 1.0 100
SS.V_1.1.T_0 SS 1.1 0
SS.V_1.1.T_25 SS 1.1 25
SS.V_1.1.T_100 SS 1.1 100
FF.V_0.9.T_0 FF 0.9 0
FF.V_0.9.T_25 FF 0.9 25
FF.V_0.9.T_100 FF 0.9 100
FF.V_1.0.T_0 FF 1.0 0
FF.V_1.0.T_25 FF 1.0 25
FF.V_1.0.T_100 FF 1.0 100
FF.V_1.1.T_0 FF 1.1 0
FF.V_1.1.T_25 FF 1.1 25
FF.V_1.1.T_100 FF 1.1 100
**public methods**:
"""
#%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
# Itemizer main
#%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
#==========================================================================
# METHOD : __init__
# PURPOSE : constructor
#==========================================================================
def __init__(self, *iterables, **kwargs) :
self.__tag = None
self.__zip = False
for k, v in list(kwargs.items()):
if k == "tag" :
self.__tag = v
elif k == "zip" :
self.__zip = v
if self.__zip :
self.__iterx = itertools.izip_longest(*iterables)
self.__length = 0
for q in iterables :
self.__length = max(self.__length, len(q))
else :
if len(iterables) == 1:
self.__iterx = iter(iterables[0])
else :
self.__iterx = itertools.product(*iterables)
self.__length = 1
for q in iterables :
self.__length *= len(q)
if self.__tag is None :
self.__tag = ".".join(["%s"] * len(iterables))
#----------------------------------------------------------------------
# class variables
#----------------------------------------------------------------------
self.__value = None
#==========================================================================
# METHOD : __len__
# PURPOSE : number of experiments
#==========================================================================
def __len__(self) :
return self.__length
#==========================================================================
# METHOD : __iter__
# PURPOSE : iterator method (private)
#==========================================================================
def __iter__(self) :
return self
#==========================================================================
# METHOD : tag
# PURPOSE : generate string based on specified tag format and element values
#==========================================================================
def tag(self) :
""" generate string based on specified tag format and element values
"""
return self.__tag % (self.__value)
#==========================================================================
# METHOD : next
# PURPOSE : produce next iteration
#==========================================================================
def __next__(self) :
""" produce next iteration
"""
self.__value = next(self.__iterx)
return self.__value | PypiClean |
/Alpha-Mind-0.3.1.tar.gz/Alpha-Mind-0.3.1/alphamind/data/engines/universe.py | import abc
import sys
import pandas as pd
from sqlalchemy import and_
from sqlalchemy import not_
from sqlalchemy import or_
from sqlalchemy import select
from alphamind.data.dbmodel.models import Universe as UniverseTable
class BaseUniverse(metaclass=abc.ABCMeta):
@abc.abstractmethod
def condition(self):
pass
def __add__(self, rhs):
return OrUniverse(self, rhs)
def __sub__(self, rhs):
return XorUniverse(self, rhs)
def __and__(self, rhs):
return AndUniverse(self, rhs)
def __or__(self, rhs):
return OrUniverse(self, rhs)
def isin(self, rhs):
return AndUniverse(self, rhs)
@abc.abstractmethod
def save(self):
pass
@classmethod
def load(cls, u_desc: dict):
pass
def query(self, engine, start_date: str = None, end_date: str = None, dates=None):
if hasattr(UniverseTable, "flag"):
more_conditions = [UniverseTable.flag == 1]
else:
more_conditions = []
query = select([UniverseTable.trade_date, UniverseTable.code.label("code")]).where(
and_(
self._query_statements(start_date, end_date, dates),
*more_conditions
)
).order_by(UniverseTable.trade_date, UniverseTable.code)
df = pd.read_sql(query, engine.engine)
df["trade_date"] = pd.to_datetime(df["trade_date"])
return df
def _query_statements(self, start_date: str = None, end_date: str = None, dates=None):
return and_(
self.condition(),
UniverseTable.trade_date.in_(dates) if dates else UniverseTable.trade_date.between(
start_date, end_date)
)
class Universe(BaseUniverse):
def __init__(self, u_name: str):
self.u_name = u_name.lower()
def condition(self):
return getattr(UniverseTable, self.u_name) == 1
def save(self):
return dict(
u_type=self.__class__.__name__,
u_name=self.u_name
)
@classmethod
def load(cls, u_desc: dict):
return cls(u_name=u_desc['u_name'])
def __eq__(self, other):
return self.u_name == other.u_name
class OrUniverse(BaseUniverse):
def __init__(self, lhs: BaseUniverse, rhs: BaseUniverse):
self.lhs = lhs
self.rhs = rhs
def condition(self):
return or_(self.lhs.condition(), self.rhs.condition())
def save(self):
return dict(
u_type=self.__class__.__name__,
lhs=self.lhs.save(),
rhs=self.rhs.save()
)
@classmethod
def load(cls, u_desc: dict):
lhs = u_desc['lhs']
rhs = u_desc['rhs']
return cls(
lhs=getattr(sys.modules[__name__], lhs['u_type']).load(lhs),
rhs=getattr(sys.modules[__name__], rhs['u_type']).load(rhs),
)
def __eq__(self, other):
return self.lhs == other.lhs and self.rhs == other.rhs and isinstance(other, OrUniverse)
class AndUniverse(BaseUniverse):
def __init__(self, lhs: BaseUniverse, rhs: BaseUniverse):
self.lhs = lhs
self.rhs = rhs
def condition(self):
return and_(self.lhs.condition(), self.rhs.condition())
def save(self):
return dict(
u_type=self.__class__.__name__,
lhs=self.lhs.save(),
rhs=self.rhs.save()
)
@classmethod
def load(cls, u_desc: dict):
lhs = u_desc['lhs']
rhs = u_desc['rhs']
return cls(
lhs=getattr(sys.modules[__name__], lhs['u_type']).load(lhs),
rhs=getattr(sys.modules[__name__], rhs['u_type']).load(rhs),
)
def __eq__(self, other):
return self.lhs == other.lhs and self.rhs == other.rhs and isinstance(other, AndUniverse)
class XorUniverse(BaseUniverse):
def __init__(self, lhs: BaseUniverse, rhs: BaseUniverse):
self.lhs = lhs
self.rhs = rhs
def condition(self):
return and_(self.lhs.condition(), not_(self.rhs.condition()))
def save(self):
return dict(
u_type=self.__class__.__name__,
lhs=self.lhs.save(),
rhs=self.rhs.save()
)
@classmethod
def load(cls, u_desc: dict):
lhs = u_desc['lhs']
rhs = u_desc['rhs']
return cls(
lhs=getattr(sys.modules[__name__], lhs['u_type']).load(lhs),
rhs=getattr(sys.modules[__name__], rhs['u_type']).load(rhs),
)
def __eq__(self, other):
return self.lhs == other.lhs and self.rhs == other.rhs and isinstance(other, XorUniverse)
def load_universe(u_desc: dict):
u_name = u_desc['u_type']
if u_name == 'Universe':
return Universe.load(u_desc)
elif u_name == 'OrUniverse':
return OrUniverse.load(u_desc)
elif u_name == 'AndUniverse':
return AndUniverse.load(u_desc)
elif u_name == 'XorUniverse':
return XorUniverse.load(u_desc)
if __name__ == '__main__':
from alphamind.data.engines.sqlengine import SqlEngine
engine = SqlEngine()
universe = Universe('custom', ['zz800'], exclude_universe=['Bank'])
print(universe.query(engine,
start_date='2018-04-26',
end_date='2018-04-26'))
print(universe.query(engine,
dates=['2017-12-21', '2017-12-25'])) | PypiClean |
/NM_LFAK-1.2.tar.gz/NM_LFAK-1.2/NM_LFAK/fourwave/main.py | import numpy as np
import matplotlib.pyplot as plt
from scipy.fftpack import fft
import pandas as pd
from scipy.fftpack import fft, ifft, fftshift, rfftfreq, rfft, irfft
import pandas as pd
import pywt
import torch
import plotly.graph_objects as go
import torchvision
from torchvision import transforms, datasets
import torch.nn as nn
import torch.nn.functional as F
def FFT(P):
""" Функция реализует быстрое преобразование Фурье
P - список сигналов"""
n = len(P)
if n == 1:
return P
else:
w = np.exp((2*np.pi*1j)/n)
Pe = [P[2*k] for k in range(int(n/2))]
P0 = [P[2*k + 1] for k in range(int(n/2))]
ye = FFT(Pe)
y0 = FFT(P0)
y = [0]*n
for j in range(int(n/2)):
y[j] = ye[j] + w**j*y0[j]
y[j + int(n/2)] = ye[j] - w**j*y0[j]
return y
def coefficient(sample, sample_name):
"""Функция считает коэфициент несинусоидальности
sample - список сигналов (выборка)
sample_name - название выборки"""
peaks = np.abs(rfft([i[1] for i in sample]))
index = np.argmax(peaks)
span = []
pr = (sample.shape[0] - 1)/(sample[-1][0] - sample[0][0])
for i in range(1, sample.shape[0]//2):
x = rfftfreq(sample.shape[0], 1/pr)[i]
f = np.abs(rfft([item[1] for item in sample]))[i]
span.append([x, f])
Si = 0
intr = span[2][0] - span[0][0]
S0 = ((peaks[index-1] + peaks[index+1])/2 + peaks[index])*intr
for i in range(1, peaks.size):
Si += (peaks[i-1] + peaks[i])/2*intr
Si -= S0
print(f' coefficient {sample_name} = {Si/S0}')
def plot_spectrum(sample, sample_name):
"""Функция считает коэфициент несинусоидальности
sample - список сигналов (выборка)
sample_name - название выборки"""
# spectrum
span = []
pr = (sample.shape[0] - 1)/(sample[-1][0] - sample[0][0])
for i in range(1, sample.shape[0]//2):
x = rfftfreq(sample.shape[0], 1/pr)[i]
f = np.abs(rfft([item[1] for item in sample]))[i]
span.append([x, f])
fig, axs = plt.subplots(1, 1, figsize=(9, 4))
plt.plot([i[0] for i in span], [i[1] for i in span])
plt.grid(True)
plt.xlabel('Frequency')
plt.ylabel('y_points')
plt.title(f'Spectrum {sample_name}')
plt.show()
# beggining function
fig, axs = plt.subplots(1, 1, figsize=(9, 4))
plt.plot([el[0] for el in df], [el[1] for el in df])
plt.grid(True)
plt.title(f" Original function {sample_name}")
plt.xlabel('x_points')
plt.ylabel("y_points")
# restart function
fig, axs = plt.subplots(1, 1, figsize=(9, 4))
peaks = list(np.abs(rfft([item[1] for item in sample])))
rest = irfft(peaks)
plt.plot(rest)
plt.grid(True)
plt.title(f"Restored function {sample_name}")
plt.xlabel("x_points")
plt.ylabel("y_points")
def variation(sample, sample_name):
"""Функция считает отклонение реальных данных от данных, получившихся в результате преобразование Фурье
sample - список сигналов (выборка)
sample_name - название выборки"""
peaks = list(np.abs(rfft([item[1] for item in sample])))
exmp = irfft(peaks)
y = [line[1] for line in sample]
var = sum([(y[i]-exmp[i])**2 for i in range(len(exmp))])
print(f'variation {sample_name} : {var}')
def restart(lst, name):
"""Функция восстановливает функции по спектрограмме
lst - список сигналов"""
period = (len(lst)-1)/(lst[-1][0] - lst[0][0])
spektor = []
for i in range(1, len(lst)//2):
y = np.abs(rfft([el[1] for el in lst]))[i]
x = rfftfreq(len(lst), 1/period)[i]
spektor.append([x,y])
peaks_n = np.abs(rfft([el[1] for el in lst]))
peaks = list(peaks_n)
part = len(lst)//10
part_sp = len(spektor)//10
fig, axs = plt.subplots(10, 3, figsize=(15, 30))
plt.subplots_adjust(wspace=2, hspace=0.7)
def plot_restart(i, n, n_sp):
"""Функция строит графики восстановленной функции по спектрограмме
i - итерация, необходимая для определения длины отрезанного сигнала
n - граница списка сигналов
n_sp - граница списка спектров"""
axs[i-1, 0].plot([el[0] for el in lst], [el[1] for el in lst])
axs[i-1, 0].plot([el[0] for el in lst[:n]], [el[1] for el in lst[:n]], 'r')
axs[i-1, 0].grid(True)
axs[i-1, 0].set_title(f"Original function {name}")
axs[i-1, 0].set_xlabel(f"x")
axs[i-1, 0].set_ylabel(f"y")
axs[i-1, 1].plot([el[0] for el in spektor[:n_sp]], [el[1] for el in spektor[:n_sp]])
axs[i-1, 1].grid(True)
axs[i-1, 1].set_title(f"Spectrum {name} (cup part {(i-1)*10}%)")
axs[i-1, 1].set_xlabel('Frequency (Гц)')
axs[i-1, 1].set_ylabel('Points')
recover = irfft(peaks[:n])
axs[i-1, 2].plot(recover)
axs[i-1, 2].grid(True)
axs[i-1, 2].set_title(f"Restart function {name}")
axs[i-1, 2].set_xlabel(f"x")
axs[i-1, 2].set_ylabel(f"y")
for i in range(1,11):
plot_restart(i, part*(11-i), part_sp*(11-i))
def descrete_decomposition(num_levels, y, name_sample):
"""Функция выводит Вейвлет-декомпозиции до уровня n
num_levels - количество уровней декомпозиции
y - список сигналов
name_sample - названия списка сигналов"""
for wev in ['haar', 'db2']:
x = np.append(0, np.array(pd.read_csv(name_sample))[:, :1])
plt.plot(x, y, 'orange')
plt.grid(True)
plt.title(f" {name_sample} : Исходная функция - {wev}")
plt.show()
for i in range(1, num_levels+1):
# коэфициенты аппроксимации (выход фильтра нижних частот)
coeffs = pywt.wavedec(y, wev, level=i)
plt.subplot(2,1,1)
plt.title(f'{name_sample} : Вейвлет - {wev}, декомпозиция {i}-ого уровня')
plt.plot(coeffs[0], 'b', linewidth=2, label = f'cA, level={i}')
plt.grid()
plt.legend(loc = 'best')
plt.show()
# коэфициенты детализации (выход фильтра высоких частот)
plt.subplot(2,1,2)
plt.plot(coeffs[1], 'r', linewidth=2, label = f'cD, level={i}')
plt.grid()
plt.legend(loc = 'best')
plt.show()
def count_level(func, wavelet):
"""Функция возвращает массивы аппроксимации и детализации
func - список сигналов
wavelet - название вейвлета"""
a, b = pywt.cwt(func, np.arange(1,4), wavelet)
return a, b
def cont_decomposition(num_levels, y, name_sample):
"""Функция выводит Вейвлет-декомпозиции до уровня n
num_levels - количество уровней декомпозиции
y - список сигналов
name_sample - названия списка сигналов"""
for wev in ['gaus1', 'mexh']:
x = np.append(0, np.array(pd.read_csv(name_sample))[:, :1])
plt.plot(x, y, 'orange')
plt.grid(True)
plt.title(f" {name_sample} : Исходная функция - {wev}")
plt.show()
for i in range(1, num_levels+1):
wavelet = pywt.ContinuousWavelet(wev, level = i)
coef, freqs = count_level(y, wavelet)
if i == 1:
plt.subplot(2,1,1)
plt.title(f' {name_sample}: Вейвлет - {wev}, декомпозиция {i}-ого уровня')
plt.plot(coef[0], label = f' level={i}')
plt.grid()
plt.legend(loc = 'best')
plt.show()
else:
for k in range(2, i+1):
coef, freqs = count_level(coef[0], wavelet)
plt.subplot(2,1,1)
plt.title(f' {name_sample}: Вейвлет - {wev}, декомпозиция {i}-ого уровня')
plt.plot(coef[0], label = f' level={i}')
plt.grid()
plt.legend(loc = 'best')
plt.show()
class Model(nn.Module):
def __init__(self, in_feats, h_feats, out_feats):
super(Model, self).__init__() # конструктор предка с этим именем
self.fc1 = nn.Linear(in_feats, h_feats) # создаём параметры модели
self.fc2 = nn.Linear(h_feats, out_feats) # в полносвязных слоях
def forward(self, h): # задаётся прямой проход
h = self.fc1(h) # выход первого слоя
h = nn.Sigmoid()(h) # пропускаем через Sigmoid
h = self.fc2(h)
# выход второго слоя
return h
def Approximation(features, y, n_epochs, in_feats, h_feats, out_feats, N):
"""Функция аппроксимирует данную функцию
features - значение аргумента функции
y - список желаемых значений
n_epoches - названия списка сигналов
in_feats - количество входных слоев
h_feats - количество скрытых слоев
out_feats - количество выходных слоев
N - число, определяющее границу выборки"""
x = np.linspace(0, N, N)
x.shape = 100, 1
model = Model(in_feats, h_feats, out_feats)
optimizer = torch.optim.Adam(model.parameters(), lr=0.4)
criterion = torch.nn.MSELoss()
for epoch in range(n_epochs):
optimizer.zero_grad()
# Forward
pred = model(features)
loss = criterion(pred.view(-1, 1), y2.view(-1, 1))
# Вычисляем потери
loss.backward()
optimizer.step()
if epoch % 500 == 0:
print('In epoch {}, loss: {}'.format(epoch, loss))
# рисуем нашу исходную функцию
fig = go.Figure()
fig.add_trace(go.Scatter(x = features.flatten().numpy(),
y = y2.flatten().numpy(),
mode = 'markers',
name = 'input_function'))
# Генерируем прогнозы для равномерно распределенных значений x между min и max
min_x = min(list(features.numpy()))
max_x = max(list(features.numpy()))
z = torch.from_numpy(np.linspace(min_x, max_x, num = len(features))).reshape(-1, 1).float()
w = model(z)
# рисуем предсказанную функцию
fig.add_trace(go.Scatter(x = z.flatten().numpy(),
y = w.flatten().detach().numpy(),
mode = 'lines',
name = 'predicted'))
fig.show() | PypiClean |
/CmonCrawl-1.0.3.tar.gz/CmonCrawl-1.0.3/docs/source/prog_guide/overview.rst | Programming Guide
==========================
This section provides a brief overview of the project. It should give you
and idea of how to create your custom extraction pipeline.
.. note:
You probably don't need to read this if you just want to use the utility.
This is for people who want to create their own extraction pipeline.
How to extract from Common Crawl (theory)
=========================================
The process of getting one parsed web page from CommonCrawl can be described as a pipeline.
1. Query CommmonCrawl to find a link to a file that contains the web page we want.
2. Download a file
3. Choose parser for the web page
4. Filter out the web page if not matching the conditions
5. Extract fields from the page
6. Save the fields to a file
The first step is handled by `Aggregator` while the rest is handled by `Processor`.
=======================
1. Querying CommonCrawl
=======================
what WARC File how
`WARC <https://en.wikipedia.org/wiki/Web_ARChive>`_ is a file format that is used for storing multitudes of web resources.
In our case these files contain a bunch of downloaded web pages and their metadata.
It's possible to get only part of the file by specifying the offset in file and length of the part we want.
what
Common Crawl Index
how
A CommonCrawl index is a collection which maps crawled urls to WARC file which contain the crawl of that url.
Every month a CommonCrawl releases a new index which contains all links to web pages that were crawled that month.
.. warning::
It is important to understand that even if the index was released in a certain month, it can contain the links to web pages that might be older.
Thus in order to download an page we query the index to get link to respective WARC file, offset and length of page.
Since there are multiples of the indexes we should query all of them to make sure we don't miss the page.
With the link to the WARC and offset and length we can continue to another step.
All this is handled by :py:class:`cmoncrawl.aggregator.index_query.IndexAggregator`. But for basic use you will not need to use it directly.
=====================
2. Downloading a file
=====================
The Processor node than downloads the url and related information from queue and downloads the appropriate WARC file.
This step is handled by :py:mod:`cmoncrawl.processor.pipeline.downloader.AsyncDownloader`.
It simply downloads and extracts the page from the WARC file.
===================
3. Choose extractor
===================
Once the page is downloaded we first need to choose a extractor for it.
Extractors are dynamically loaded based on definitions in :ref:`extractor_config`.
All loaded processors are then matched against the url and crawl date and first matching is used.
This functionality is handled by :py:class:`cmoncrawl.processor.pipeline.router.Router`.
For development of extractors refer to :ref:`extractors`.
=============================
4. Filtering out the web page
=============================
Once the extractor is chosen the filtering function is used to either drop or pass a page.
In order to filter your you can use either :py:meth:`cmoncrawl.processor.pipeline.extractor.BaseExtractor.filter_raw` for
filtering based on raw html pages (fast). Or wait for conversion to soup and then filter using
:py:meth:`cmoncrawl.processor.pipeline.extractor.BaseExtractor.filter_soup` (slow).
===============================
5. Extract fields from the page
===============================
The extracting function defined by the extractor is used to extract the fields from the page.
Just extract the values and return them in dict.
==============
6. File saving
==============
With the field extracted we need to save them to a file.
By default the fields are saved in json file.
The way the file is saved is defined by streamers.
All of the currently implemented streamers are derived from :py:class:`cmoncrawl.processor.pipeline.streamer.BaseStreamerFile`.
Which defined how are the files saved, but the content parsing is left to the derived classes.
Currently we support 2 streamers, one for json (:py:class:`cmoncrawl.processor.pipeline.streamer.StreamerFileJSON`) and one for html (:py:class:`cmoncrawl.processor.pipeline.streamer.StreamerFileHTML`).
The json one creates a json per line output, and outputs all extracted data.
The html one creates a html file (assuming the html is defined in extracted data['html']).
If you would like different format you can create your own saver by inheriting from :py:class:`cmoncrawl.processor.pipeline.streamer.IStreamer` and then changing pipeline creation with your new outstreamer. | PypiClean |
/CallFlow-1.3.0.tar.gz/CallFlow-1.3.0/callflow/operations/unify.py | import numpy as np
import pandas as pd
import networkx as nx
from functools import reduce
import callflow
from callflow.utils.utils import create_reindex_map
LOGGER = callflow.get_logger(__name__)
class Unify:
"""
Unify a super graph.
"""
def __init__(self, eg, supergraphs):
"""
Constructor
:param eg:
:param supergraphs:
"""
assert isinstance(eg, callflow.EnsembleGraph)
assert isinstance(supergraphs, dict)
for sg in supergraphs:
isinstance(sg, callflow.SuperGraph)
self.eg = eg
self.eg.supergraphs = supergraphs
# collect all modules and compute a superset
self.eg_modules_list = reduce(np.union1d, [self._remove_none(list(v.module2idx.keys())) for k, v in supergraphs.items()])
self.eg_callsites_list = reduce(np.union1d, [self._remove_none(list(v.callsite2idx.keys())) for k, v in supergraphs.items()])
self.compute()
self.eg.add_time_proxies()
self.eg.df_reset_index()
def _remove_none(self, arr):
"""
Note: This function is a patch to ensure the np.union1d does not fail.
Remove None from the list (arr) and convert it to a np.array.
:param arr (list): Input array to be cleaned
:return arr (np.array): Array without None values.
"""
assert isinstance(arr, list)
return np.array([i for i in arr if i is not None])
# --------------------------------------------------------------------------
def compute(self):
"""
:return:
"""
n = len(self.eg.supergraphs)
LOGGER.info(f"Unifying {n} supergraphs")
if n == 1:
LOGGER.warning("Unifying should be used for 2 or more SuperGraphs")
self.eg.dataframe = pd.DataFrame([])
self.eg.nxg = nx.DiGraph()
for name, sg in self.eg.supergraphs.items():
# ------------------------------------------------------------------
# unify the dataframe
# remap the modules in this supergraph to the one in ensemble graph
sg_modules_list = self._remove_none(list(sg.module2idx.keys()))
sg_callsites_list = self._remove_none(list(sg.callsite2idx.keys()))
_mod_map = create_reindex_map(sg_modules_list, self.eg_modules_list)
_cs_map = create_reindex_map(sg_callsites_list, self.eg_callsites_list)
if 1: # edit directly in the supergraph
sg.df_add_column("dataset", apply_value=sg.name)
sg.df_add_column(
"module",
update=True,
apply_func=lambda _: self.eg_modules_list[_mod_map[_]] if _ is not -1 else -1,
apply_on="module",
)
sg.df_add_column(
"name",
update=True,
apply_func=lambda _: self.eg_callsites_list[_cs_map[_]] if _ is not -1 else -1,
apply_on="name",
)
sg.df_add_column(
"callers",
update=True,
apply_func=lambda _: [_cs_map[__] for __ in _],
apply_on="callers",
)
sg.df_add_column(
"callees",
update=True,
apply_func=lambda _: [_cs_map[__] for __ in _],
apply_on="callees",
)
sg.df_add_column(
"path",
update=True,
apply_func=lambda _: [_cs_map[__] for __ in _],
apply_on="path",
)
sg.df_add_column(
"group_path",
update=True,
apply_func=lambda _: [_mod_map[__] for __ in _],
apply_on="group_path",
)
sg.df_add_column(
"component_path",
update=True,
apply_func=lambda _: [_cs_map[__] for __ in _],
apply_on="component_path",
)
self.eg.dataframe = pd.concat(
[self.eg.dataframe, sg.dataframe], sort=True
)
else: # create a new copy
_sg = sg.dataframe.assign(dataset=sg.name)
_sg["module"] = _sg["module"].apply(lambda _: _mod_map[_])
self.eg.dataframe = pd.concat([self.eg.dataframe, _sg], sort=True)
# TODO: *later*, avoid creating the concatenated dataframe
# ------------------------------------------------------------------
# unify the graph
if not self.eg.nxg.is_multigraph() == sg.nxg.is_multigraph():
raise nx.NetworkXError("Both nxg instances be graphs or multigraphs.")
self.eg.nxg.update(sg.nxg)
is_same = set(self.eg.nxg) == set(sg.nxg)
if not is_same:
LOGGER.debug(
f"Difference between (ensemble) and ({sg.name}): "
f"{list(set(self.eg.nxg) - set(sg.nxg))}"
)
if sg.nxg.is_multigraph():
new_edges = sg.nxg.edges(keys=True, data=True)
else:
new_edges = sg.nxg.edges(data=True)
# add nodes and edges.
self.eg.nxg.add_nodes_from(sg.nxg)
self.eg.nxg.add_edges_from(new_edges)
# ------------------------------------------------------------------
# Calculate the index maps for the updated ensemble mapping.
self.eg.callsite2idx = {cs:idx for idx, cs in enumerate(self.eg_callsites_list)}
self.eg.module2idx = {m: idx for idx, m in enumerate(self.eg_modules_list)}
self.eg.idx2callsite = {idx:cs for cs, idx in self.eg.callsite2idx.items()}
self.eg.idx2module = {idx:m for m, idx in self.eg.module2idx.items()}
self.eg.callsite2idx[None], self.eg.idx2callsite[-1] = -1, None
self.eg.module2idx[None], self.eg.idx2module[-1] = -1, None
# Calculate the callsite2module mapping for the updated index maps.
self.eg.callsite2module, self.eg.module2callsite = self.eg.callsite2module_from_indexmaps(self.eg.callsite2idx, self.eg.module2idx)
# Update the dataframe with the updated indexes.
self.eg.factorize_callsites_and_modules()
# ------------------------------------------------------------------------------ | PypiClean |
/CSUMMDET-1.0.23.tar.gz/CSUMMDET-1.0.23/mmdet/models/bbox_heads/convfc_bbox_head.py | import torch.nn as nn
from ..registry import HEADS
from ..utils import ConvModule
from .bbox_head import BBoxHead
@HEADS.register_module
class ConvFCBBoxHead(BBoxHead):
r"""More general bbox head, with shared conv and fc layers and two optional
separated branches.
/-> cls convs -> cls fcs -> cls
shared convs -> shared fcs
\-> reg convs -> reg fcs -> reg
""" # noqa: W605
def __init__(self,
num_shared_convs=0,
num_shared_fcs=0,
num_cls_convs=0,
num_cls_fcs=0,
num_reg_convs=0,
num_reg_fcs=0,
conv_out_channels=256,
fc_out_channels=1024,
conv_cfg=None,
norm_cfg=None,
*args,
**kwargs):
super(ConvFCBBoxHead, self).__init__(*args, **kwargs)
assert (num_shared_convs + num_shared_fcs + num_cls_convs +
num_cls_fcs + num_reg_convs + num_reg_fcs > 0)
if num_cls_convs > 0 or num_reg_convs > 0:
assert num_shared_fcs == 0
if not self.with_cls:
assert num_cls_convs == 0 and num_cls_fcs == 0
if not self.with_reg:
assert num_reg_convs == 0 and num_reg_fcs == 0
self.num_shared_convs = num_shared_convs
self.num_shared_fcs = num_shared_fcs
self.num_cls_convs = num_cls_convs
self.num_cls_fcs = num_cls_fcs
self.num_reg_convs = num_reg_convs
self.num_reg_fcs = num_reg_fcs
self.conv_out_channels = conv_out_channels
self.fc_out_channels = fc_out_channels
self.conv_cfg = conv_cfg
self.norm_cfg = norm_cfg
# add shared convs and fcs
self.shared_convs, self.shared_fcs, last_layer_dim = \
self._add_conv_fc_branch(
self.num_shared_convs, self.num_shared_fcs, self.in_channels,
True)
self.shared_out_channels = last_layer_dim
# add cls specific branch
self.cls_convs, self.cls_fcs, self.cls_last_dim = \
self._add_conv_fc_branch(
self.num_cls_convs, self.num_cls_fcs, self.shared_out_channels)
# add reg specific branch
self.reg_convs, self.reg_fcs, self.reg_last_dim = \
self._add_conv_fc_branch(
self.num_reg_convs, self.num_reg_fcs, self.shared_out_channels)
if self.num_shared_fcs == 0 and not self.with_avg_pool:
if self.num_cls_fcs == 0:
self.cls_last_dim *= self.roi_feat_area
if self.num_reg_fcs == 0:
self.reg_last_dim *= self.roi_feat_area
self.relu = nn.ReLU(inplace=True)
# reconstruct fc_cls and fc_reg since input channels are changed
if self.with_cls:
self.fc_cls = nn.Linear(self.cls_last_dim, self.num_classes)
if self.with_reg:
out_dim_reg = (4 if self.reg_class_agnostic else 4 *
self.num_classes)
self.fc_reg = nn.Linear(self.reg_last_dim, out_dim_reg)
def _add_conv_fc_branch(self,
num_branch_convs,
num_branch_fcs,
in_channels,
is_shared=False):
"""Add shared or separable branch
convs -> avg pool (optional) -> fcs
"""
last_layer_dim = in_channels
# add branch specific conv layers
branch_convs = nn.ModuleList()
if num_branch_convs > 0:
for i in range(num_branch_convs):
conv_in_channels = (
last_layer_dim if i == 0 else self.conv_out_channels)
branch_convs.append(
ConvModule(
conv_in_channels,
self.conv_out_channels,
3,
padding=1,
conv_cfg=self.conv_cfg,
norm_cfg=self.norm_cfg))
last_layer_dim = self.conv_out_channels
# add branch specific fc layers
branch_fcs = nn.ModuleList()
if num_branch_fcs > 0:
# for shared branch, only consider self.with_avg_pool
# for separated branches, also consider self.num_shared_fcs
if (is_shared
or self.num_shared_fcs == 0) and not self.with_avg_pool:
last_layer_dim *= self.roi_feat_area
for i in range(num_branch_fcs):
fc_in_channels = (
last_layer_dim if i == 0 else self.fc_out_channels)
branch_fcs.append(
nn.Linear(fc_in_channels, self.fc_out_channels))
last_layer_dim = self.fc_out_channels
return branch_convs, branch_fcs, last_layer_dim
def init_weights(self):
super(ConvFCBBoxHead, self).init_weights()
for module_list in [self.shared_fcs, self.cls_fcs, self.reg_fcs]:
for m in module_list.modules():
if isinstance(m, nn.Linear):
nn.init.xavier_uniform_(m.weight)
nn.init.constant_(m.bias, 0)
def forward(self, x):
# shared part
if self.num_shared_convs > 0:
for conv in self.shared_convs:
x = conv(x)
if self.num_shared_fcs > 0:
if self.with_avg_pool:
x = self.avg_pool(x)
x = x.view(x.size(0), -1)
for fc in self.shared_fcs:
x = self.relu(fc(x))
# separate branches
x_cls = x
x_reg = x
for conv in self.cls_convs:
x_cls = conv(x_cls)
if x_cls.dim() > 2:
if self.with_avg_pool:
x_cls = self.avg_pool(x_cls)
x_cls = x_cls.view(x_cls.size(0), -1)
for fc in self.cls_fcs:
x_cls = self.relu(fc(x_cls))
for conv in self.reg_convs:
x_reg = conv(x_reg)
if x_reg.dim() > 2:
if self.with_avg_pool:
x_reg = self.avg_pool(x_reg)
x_reg = x_reg.view(x_reg.size(0), -1)
for fc in self.reg_fcs:
x_reg = self.relu(fc(x_reg))
cls_score = self.fc_cls(x_cls) if self.with_cls else None
bbox_pred = self.fc_reg(x_reg) if self.with_reg else None
return cls_score, bbox_pred
@HEADS.register_module
class SharedFCBBoxHead(ConvFCBBoxHead):
def __init__(self, num_fcs=2, fc_out_channels=1024, *args, **kwargs):
assert num_fcs >= 1
super(SharedFCBBoxHead, self).__init__(
num_shared_convs=0,
num_shared_fcs=num_fcs,
num_cls_convs=0,
num_cls_fcs=0,
num_reg_convs=0,
num_reg_fcs=0,
fc_out_channels=fc_out_channels,
*args,
**kwargs) | PypiClean |
/Editra-0.7.20.tar.gz/Editra-0.7.20/src/ebmlib/efilehist.py | __author__ = "Cody Precord <cprecord@editra.org>"
__svnid__ = "$Id: efilehist.py 71668 2012-06-06 18:32:07Z CJP $"
__revision__ = "$Revision: 71668 $"
__all__ = ['EFileHistory',]
#-----------------------------------------------------------------------------#
# Imports
import os
import wx
# Local Imports
import txtutil
#-----------------------------------------------------------------------------#
class EFileHistory(object):
"""FileHistory Menu Manager"""
def __init__(self, maxFile=9):
assert maxFile <= 9, "supports at most 9 files"
super(EFileHistory, self).__init__()
# Attributes
self._history = list()
self._maxFiles = maxFile
self._menu = None
def _UpdateMenu(self):
"""Update the filehistory menu"""
menu = self.Menu # optimization
assert menu is not None
for item in menu.GetMenuItems():
menu.RemoveItem(item)
# Validate and cleanup any bad entries
to_remove = list()
for item in self.History:
if not item:
to_remove.append(item)
elif not os.path.exists(item):
to_remove.append(item)
for item in to_remove:
self.History.remove(item)
for index, histfile in enumerate(self.History):
menuid = wx.ID_FILE1 + index
if menuid <= wx.ID_FILE9:
menu.Append(menuid, histfile)
else:
break
Count = property(lambda self: self.GetCount())
History = property(lambda self: self._history,
lambda self, hist: self.SetHistory(hist))
MaxFiles = property(lambda self: self._maxFiles)
Menu = property(lambda self: self._menu,
lambda self, menu: self.UseMenu(menu))
def AddFileToHistory(self, fname):
"""Add a file to the history
@param fname: Unicode
"""
if not fname:
return
assert txtutil.IsUnicode(fname)
assert self.Menu is not None
# Shuffle to top of history if already in there
if fname in self.History:
self.History.remove(fname)
self.History.insert(0, fname)
# Maintain set length
if self.Count > self.MaxFiles:
self._history.pop()
# Update menu object for new history list
self._UpdateMenu()
def GetCount(self):
"""Get the number of files in the history
@return: int
"""
return len(self._history)
def GetHistoryFile(self, index):
"""Get the history file at the given index
@param index: int
@return: Unicode
"""
assert self.MaxFiles > index, "Index out of range"
return self.History[index]
def RemoveFileFromHistory(self, index):
"""Remove a file from the history"""
assert self.MaxFiles > index, "Index out of range"
self.History.pop(index)
self._UpdateMenu()
def SetHistory(self, hist):
"""Set the file history from a list
@param hist: list of Unicode
"""
# Ensure list is unique
hist = list(set(hist))
assert len(hist) <= self.MaxFiles
self._history = hist
self._UpdateMenu()
def UseMenu(self, menu):
"""Set the menu for the file history to use
@param menu: wx.Menu
"""
assert isinstance(menu, wx.Menu)
if self.Menu is not None:
self._menu.Destroy()
self._menu = menu
self._UpdateMenu() | PypiClean |
/Auto_Python_2014-14.1.5.zip/Auto_Python_2014-14.1.5/tools/get-pip.py |
ZIPFILE = b"""
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"""
import base64
import os.path
import pkgutil
import shutil
import sys
import tempfile
def bootstrap(tmpdir=None):
# Import pip so we can use it to install pip and maybe setuptools too
import pip
# We always want to install pip
packages = ["pip"]
# Check if the user has requested us not to install setuptools
if "--no-setuptools" in sys.argv or os.environ.get("PIP_NO_SETUPTOOLS"):
args = [x for x in sys.argv[1:] if x != "--no-setuptools"]
else:
args = sys.argv[1:]
# We want to see if setuptools is available before attempting to
# install it
try:
import setuptools
except ImportError:
packages += ["setuptools"]
delete_tmpdir = False
try:
# Create a temporary directory to act as a working directory if we were
# not given one.
if tmpdir is None:
tmpdir = tempfile.mkdtemp()
delete_tmpdir = True
# We need to extract the SSL certificates from requests so that they
# can be passed to --cert
cert_path = os.path.join(tmpdir, "cacert.pem")
with open(cert_path, "wb") as cert:
cert.write(pkgutil.get_data("pip._vendor.requests", "cacert.pem"))
# Use an environment variable here so that users can still pass
# --cert via sys.argv
os.environ.setdefault("PIP_CERT", cert_path)
# Execute the included pip and use it to install the latest pip and
# setuptools from PyPI
sys.exit(pip.main(["install", "--upgrade"] + packages + args))
finally:
# Remove our temporary directory
if delete_tmpdir and tmpdir:
shutil.rmtree(tmpdir, ignore_errors=True)
def main():
tmpdir = None
try:
# Create a temporary working directory
tmpdir = tempfile.mkdtemp()
# Unpack the zipfile into the temporary directory
pip_zip = os.path.join(tmpdir, "pip.zip")
with open(pip_zip, "wb") as fp:
fp.write(base64.decodestring(ZIPFILE))
# Add the zipfile to sys.path so that we can import it
sys.path = [pip_zip] + sys.path
# Run the bootstrap
bootstrap(tmpdir=tmpdir)
finally:
# Clean up our temporary working directory
if tmpdir:
shutil.rmtree(tmpdir, ignore_errors=True)
if __name__ == "__main__":
main() | PypiClean |
/Heavy-Neutrino-Limits-0.0.2.tar.gz/Heavy-Neutrino-Limits-0.0.2/Nlimits/plot_tools.py | import scipy
from scipy.interpolate import splprep, splev
import numpy as np
import seaborn as sns
import colorsys
import matplotlib
import matplotlib.pyplot as plt
from matplotlib import rc, rcParams
from matplotlib.pyplot import *
from matplotlib.pyplot import cm
import matplotlib.tri as tri
import matplotlib.patches as patches
import matplotlib.colors as mc
def log_interp1d(xx, yy, kind='linear', **kwargs):
logx = np.log10(xx)
logy = np.log10(yy)
lin_interp = scipy.interpolate.interp1d(logx, logy, kind=kind, **kwargs)
log_interp = lambda zz: np.power(10.0, lin_interp(np.log10(zz)))
return log_interp
###########################
fsize=12
fsize_annotate=10
std_figsize = (1.2*3.7,1.3*2.3617)
std_axes_form =[0.16,0.16,0.81,0.76]
# standard figure creation
def std_fig(ax_form=std_axes_form,
figsize=std_figsize,
rasterized=False):
rcparams={'axes.labelsize':fsize,'xtick.labelsize':fsize,'ytick.labelsize':fsize,\
'figure.figsize':std_figsize,
'legend.frameon': False,
'legend.loc': 'best' }
plt.rcParams['text.latex.preamble'] = r'\usepackage{amsmath}\usepackage{amssymb}'
rc('font', **{'family': 'serif', 'serif': ['Computer Modern']})
rc('text', usetex=True)
rcParams.update(rcparams)
matplotlib.rcParams['hatch.linewidth'] = 0.3
fig = plt.figure(figsize=figsize)
ax = fig.add_axes(ax_form, rasterized=rasterized)
ax.patch.set_alpha(0.0)
return fig,ax
# standard saving function
def std_savefig(fig, path, dpi=400, **kwargs):
fig.savefig(path, dpi = dpi, **kwargs)
if '.pdf' in path:
fig.savefig(path.replace('.pdf','.png'), dpi = dpi, **kwargs)
fig.savefig(path.replace('.pdf','_white.png'), dpi = dpi, facecolor='white', **kwargs)
def std_plot_limits(case, skip_ids=[], xrange=(5, 1e5), yrange=(1e-10,1e-1), title=None,
new_labelpos={}, new_color={}, new_dash={}, grid=False, color_only = [], npoints_interp = 100000, suffix=''):
fig, ax = std_fig(figsize=(8,4), ax_form=[0.1,0.125,0.88,0.81])
x=np.geomspace(1,1e5, int(npoints_interp))
# sns.reset_orig() # get default matplotlib styles back
labelpos_dic={}
for i, limit in case.limits.iterrows():
ilabel, ival = np.nanargmin(limit.interp_func(x)), np.nanmin(limit.interp_func(x))
labelpos_dic[limit.id] = (x[ilabel]*0.9, ival/2.5)
color_dic = dict(zip(case.limits['id'],sns.color_palette('tab10', n_colors=len(list(case.limits.iterrows()))))) # a list of RGB tuples
dash_dic = dict(zip(case.limits['id'], (1+len(color_dic.keys()))*[(1,0)]))
labelpos_dic.update(new_labelpos)
color_dic.update(new_color)
dash_dic.update(new_dash)
for i, limit in case.limits.iterrows():
if limit.id not in skip_ids:
if len(color_only)>0:
background_grey = lighten_color('lightgrey', 0.1)
if limit.id in color_only:
c = color_dic[limit.id]
LW = 1
alpha=1
else:
c = 'black'
LW=0.5
alpha=1
else:
background_grey = lighten_color('lightgrey', 0.3)
c = color_dic[limit.id]
alpha=1
LW = 1
if (limit.year is None):
dash = (4,2)
else:
dash = dash_dic[limit.id]
label = fr'\noindent {limit.plot_label}'.replace("(",r" \noindent {\tiny \textsc{(").replace(")", r")} }").replace(r'\\', r"\vspace{-2ex} \\ ")
ax.plot(x, limit.interp_func(x), zorder=3, color=c, dashes=dash, lw=LW)
ax.plot(x, limit.interp_func_top(x), color=c, dashes=dash,zorder=2, lw=LW)
if ('bbn' not in limit.id) and (limit.year is not None):
ax.fill_between(x, limit.interp_func(x), x/x, zorder=1, facecolor=background_grey, edgecolor='None', alpha=alpha)
# ax.fill_between(x, limit.interp_func(x), limit.interp_func_top(x), zorder=1, facecolor=background_grey, edgecolor='None', alpha=1)
t = ax.annotate(label, xy=labelpos_dic[limit.id], xycoords='data', color=c, zorder=4, fontsize=7.5)
# t.set_bbox(dict(facecolor=background_grey, alpha=0.2, edgecolor='None'))
ax.set_yscale("log")
ax.set_xscale("log")
ax.set_ylabel(fr"{case.latexflavor}")
ax.set_xlabel(fr"$m_N/$MeV")
major=np.array([1e-13,1e-12,1e-11, 1e-10,1e-9, 1e-8, 1e-7, 1e-6, 1e-5, 1e-4, 1e-3,1e-2,1e-1,1])
minor=np.array([2,3,4,5,6,7,8,9])
minor = np.array([m*minor for m in major]).flatten()[:-9]
ax.set_yticks(major)
ax.set_yticks(minor, minor=True)
if grid:
ax.grid(axis='y', which='both', dashes=(6,1), alpha=0.25, c='black', lw=0.2)
ax.grid(axis='x', which='both', dashes=(6,1), alpha=0.25, c='black', lw=0.2)
ax.set_ylim(*yrange)
ax.set_xlim(*xrange)
ax.set_title(title)
std_savefig(fig, path = f'plots/U{case.flavor}N{suffix}.pdf')
return fig, ax
# https://stackoverflow.com/questions/37765197/darken-or-lighten-a-color-in-matplotlib
def lighten_color(color, amount=0.5):
"""
Lightens the given color by multiplying (1-luminosity) by the given amount.
Input can be matplotlib color string, hex string, or RGB tuple.
Examples:
>> lighten_color('g', 0.3)
>> lighten_color('#F034A3', 0.6)
>> lighten_color((.3,.55,.1), 0.5)
"""
try:
c = mc.cnames[color]
except:
c = color
c = colorsys.rgb_to_hls(*mc.to_rgb(c))
return colorsys.hls_to_rgb(c[0], 1 - amount * (1 - c[1]), c[2])
def double_axes_fig(height = 0.5,
gap = 0.1,
axis_base = [0.14,0.1,0.80,0.18],
figsize=std_figsize,
split_y=False,
split_x=False,
rasterized=False):
fig = plt.figure(figsize=figsize)
if split_y and not split_x:
axis_base = [0.14,0.1,0.80,0.4-gap/2]
axis_appended = [0.14,0.5+gap/2,0.80,0.4-gap/2]
elif not split_y and split_x:
axis_appended = [0.14,0.1,0.4-gap/2,0.8]
axis_base = [0.14+0.4+gap/2, 0.1, 0.4-gap/2, 0.8]
else:
axis_base[-1] = height
axis_appended = axis_base+np.array([0, height+gap, 0, 1 - 2*height - gap - axis_base[1] - 0.05])
ax1 = fig.add_axes(axis_appended, rasterized=rasterized)
ax2 = fig.add_axes(axis_base, rasterized=rasterized)
ax1.patch.set_alpha(0.0)
ax2.patch.set_alpha(0.0)
return fig, [ax1, ax2]
def data_plot(ax, X, Y, xerr, yerr, zorder=2, label='data'):
return ax.errorbar(X, Y, yerr= yerr, xerr = xerr, \
marker="o", markeredgewidth=0.5, capsize=1.0,markerfacecolor="black",\
markeredgecolor="black",ms=2, lw = 0.0, elinewidth=0.8,
color='black', label=label, zorder=zorder)
def step_plot(ax, x, y, lw=1, color='red', label='signal', where = 'post', dashes=(3,0), zorder=3):
return ax.step( np.append(x, np.max(x)+x[-1]),
np.append(y, 0.0),
where=where,
lw = lw,
dashes=dashes,
color = color,
label = label, zorder=zorder)
def plot_MB_vertical_region(ax, color='dodgerblue', label=r'MiniBooNE $1 \sigma$'):
##########
# MINIBOONE 2018
matplotlib.rcParams['hatch.linewidth'] = 0.7
y = [0,1e10]
NEVENTS=381.2
ERROR = 85.2
xleft = (NEVENTS-ERROR)/NEVENTS
xright = (NEVENTS+ERROR)/NEVENTS
ax.fill_betweenx(y,[xleft,xleft],[xright,xright],
zorder=3,
ec=color, fc='None',
hatch='\\\\\\\\\\',
lw=0,
label=label)
ax.vlines(1,0,1e10, zorder=3, lw=1, color=color)
ax.vlines(xleft,0,1e10, zorder=3, lw=0.5, color=color)
ax.vlines(xright,0,1e10, zorder=3, lw=0.5, color=color)
def plot_closed_region(points, logx=False, logy=False):
x,y = points
if logy:
if (y==0).any():
raise ValueError("y values cannot contain any zeros in log mode.")
sy = np.sign(y)
ssy = ((np.abs(y)<1)*(-1) + (np.abs(y)>1)*(1))
y = ssy*np.log(y*sy)
if logx:
if (x==0).any():
raise ValueError("x values cannot contain any zeros in log mode.")
sx = np.sign(x)
ssx = ((x<1)*(-1) + (x>1)*(1))
x = ssx*np.log(x*sx)
points = np.array([x,y]).T
points_s = (points - points.mean(0))
angles = np.angle((points_s[:,0] + 1j*points_s[:,1]))
points_sort = points_s[angles.argsort()]
points_sort += points.mean(0)
tck, u = splprep(points_sort.T, u=None, s=0.0, per=0, k=1)
u_new = np.linspace(u.min(), u.max(), len(points[:,0]))
x_new, y_new = splev(u_new, tck, der=0)
if logx:
x_new = sx*np.exp(ssx*x_new)
if logy:
y_new = sy*np.exp(ssy*y_new)
return x_new, y_new
################################################
def interp_grid(x,y,z, fine_gridx=False, fine_gridy=False, logx=False, logy=False, method='interpolate', smear_stddev=False):
# default
if not fine_gridx:
fine_gridx = 100
if not fine_gridy:
fine_gridy = 100
# log scale x
if logx:
xi = np.logspace(np.min(np.log10(x)), np.max(np.log10(x)), fine_gridx)
else:
xi = np.linspace(np.min(x), np.max(x), fine_gridx)
# log scale y
if logy:
y = -np.log(y)
yi = np.logspace(np.min(np.log10(y)), np.max(np.log10(y)), fine_gridy)
else:
yi = np.linspace(np.min(y), np.max(y), fine_gridy)
Xi, Yi = np.meshgrid(xi, yi)
if logy:
Yi = np.exp(-Yi)
# triangulation
if method=='triangulation':
triang = tri.Triangulation(x, y)
interpolator = tri.LinearTriInterpolator(triang, z)
Zi = interpolator(Xi, Yi)
elif method=='interpolate':
Zi = scipy.interpolate.griddata((x, y), z,\
(xi[None,:], yi[:,None]),\
method='linear', rescale =True)
else:
print(f"Method {method} not implemented.")
# gaussian smear -- not recommended
if smear_stddev:
Zi = scipy.ndimage.filters.gaussian_filter(Zi, smear_stddev, mode='nearest', order = 0, cval=0)
return Xi, Yi, Zi
def my_histogram(ax, df, var, color='black',label=r'new', density=True, ls='-', var_range=(0,1), units = 1, hatch=''):
out = ax.hist(df[var, '']*units,
bins=30,
range=var_range,
weights=df['weight',],
facecolor=color,
ls=ls,
edgecolor=color,
histtype='step',
density=density,
lw=1, zorder=10)
out = ax.hist(df[var, '']*units,
label=label,
bins=30,
range=var_range,
weights=df['weight',],
facecolor='None',
hatch=hatch,
edgecolor=color,
density=density,
lw=0.0,
alpha =1)
def error_histogram(ax, df, var, color='black', label=r'new', density=True, ls='-', var_range=(0,1), units = 1, hatch='', cumulative=False):
w = df['weight',]
x = df[var, '']*units
# if cumulative:
# var_range = (np.min(df[var, '']), np.max(df[var, '']))
prediction, bin_edges = np.histogram(x,
range=var_range,
bins=50,
weights=w,
)
errors2 = np.histogram(x,
range=var_range,
bins=50,
weights=w**2,
)[0]
if cumulative=='cum_sum':
prediction = np.cumsum(prediction)
errors2 = np.cumsum(errors2)
elif cumulative=='cum_sum_prior_to':
prediction = np.cumsum(prediction[::-1])[::-1]
errors2 = np.cumsum(errors2[::-1])[::-1]
area = np.sum(prediction)
prediction /= area
errors = np.sqrt(errors2)/area
# plotting
ax.plot(bin_edges,
np.append(prediction, [0]),
ds='steps-post',
label=label,
color=color,
lw=0.8)
for edge_left, edge_right, pred, err in zip(bin_edges[:-1], bin_edges[1:], prediction, errors):
ax.add_patch(
patches.Rectangle(
(edge_left, pred-err),
edge_right-edge_left,
2 * err,
color=color,
hatch=hatch,
fill=False,
linewidth=0,
alpha=0.5,
)
)
###########################################
def data_plot(ax, X, DATA, xerr=None, yerr=None, zorder=2, color='black', edgecolor='black'):
ax.errorbar(X, DATA, yerr= yerr, xerr = xerr, \
marker="o", markeredgewidth=1.0, capsize=1.0,markerfacecolor=color,\
markeredgecolor=edgecolor,ms=2, color=color, lw = 0.0, elinewidth=0.8, zorder=zorder) | PypiClean |
/Django_patch-2.2.19-py3-none-any.whl/django/utils/datetime_safe.py |
import re
import time as ttime
from datetime import (
date as real_date, datetime as real_datetime, time as real_time,
)
class date(real_date):
def strftime(self, fmt):
return strftime(self, fmt)
class datetime(real_datetime):
def strftime(self, fmt):
return strftime(self, fmt)
@classmethod
def combine(cls, date, time):
return cls(date.year, date.month, date.day,
time.hour, time.minute, time.second,
time.microsecond, time.tzinfo)
def date(self):
return date(self.year, self.month, self.day)
class time(real_time):
pass
def new_date(d):
"Generate a safe date from a datetime.date object."
return date(d.year, d.month, d.day)
def new_datetime(d):
"""
Generate a safe datetime from a datetime.date or datetime.datetime object.
"""
kw = [d.year, d.month, d.day]
if isinstance(d, real_datetime):
kw.extend([d.hour, d.minute, d.second, d.microsecond, d.tzinfo])
return datetime(*kw)
# This library does not support strftime's "%s" or "%y" format strings.
# Allowed if there's an even number of "%"s because they are escaped.
_illegal_formatting = re.compile(r"((^|[^%])(%%)*%[sy])")
def _findall(text, substr):
# Also finds overlaps
sites = []
i = 0
while True:
i = text.find(substr, i)
if i == -1:
break
sites.append(i)
i += 1
return sites
def strftime(dt, fmt):
if dt.year >= 1000:
return super(type(dt), dt).strftime(fmt)
illegal_formatting = _illegal_formatting.search(fmt)
if illegal_formatting:
raise TypeError("strftime of dates before 1000 does not handle " + illegal_formatting.group(0))
year = dt.year
# For every non-leap year century, advance by
# 6 years to get into the 28-year repeat cycle
delta = 2000 - year
off = 6 * (delta // 100 + delta // 400)
year = year + off
# Move to around the year 2000
year = year + ((2000 - year) // 28) * 28
timetuple = dt.timetuple()
s1 = ttime.strftime(fmt, (year,) + timetuple[1:])
sites1 = _findall(s1, str(year))
s2 = ttime.strftime(fmt, (year + 28,) + timetuple[1:])
sites2 = _findall(s2, str(year + 28))
sites = []
for site in sites1:
if site in sites2:
sites.append(site)
s = s1
syear = "%04d" % (dt.year,)
for site in sites:
s = s[:site] + syear + s[site + 4:]
return s | PypiClean |
/Django_patch-2.2.19-py3-none-any.whl/django/db/migrations/optimizer.py | class MigrationOptimizer:
"""
Power the optimization process, where you provide a list of Operations
and you are returned a list of equal or shorter length - operations
are merged into one if possible.
For example, a CreateModel and an AddField can be optimized into a
new CreateModel, and CreateModel and DeleteModel can be optimized into
nothing.
"""
def optimize(self, operations, app_label=None):
"""
Main optimization entry point. Pass in a list of Operation instances,
get out a new list of Operation instances.
Unfortunately, due to the scope of the optimization (two combinable
operations might be separated by several hundred others), this can't be
done as a peephole optimization with checks/output implemented on
the Operations themselves; instead, the optimizer looks at each
individual operation and scans forwards in the list to see if there
are any matches, stopping at boundaries - operations which can't
be optimized over (RunSQL, operations on the same field/model, etc.)
The inner loop is run until the starting list is the same as the result
list, and then the result is returned. This means that operation
optimization must be stable and always return an equal or shorter list.
The app_label argument is optional, but if you pass it you'll get more
efficient optimization.
"""
# Internal tracking variable for test assertions about # of loops
self._iterations = 0
while True:
result = self.optimize_inner(operations, app_label)
self._iterations += 1
if result == operations:
return result
operations = result
def optimize_inner(self, operations, app_label=None):
"""Inner optimization loop."""
new_operations = []
for i, operation in enumerate(operations):
right = True # Should we reduce on the right or on the left.
# Compare it to each operation after it
for j, other in enumerate(operations[i + 1:]):
in_between = operations[i + 1:i + j + 1]
result = operation.reduce(other, app_label)
if isinstance(result, list):
if right:
new_operations.extend(in_between)
new_operations.extend(result)
elif all(op.reduce(other, app_label) is True for op in in_between):
# Perform a left reduction if all of the in-between
# operations can optimize through other.
new_operations.extend(result)
new_operations.extend(in_between)
else:
# Otherwise keep trying.
new_operations.append(operation)
break
new_operations.extend(operations[i + j + 2:])
return new_operations
elif not result:
# Can't perform a right reduction.
right = False
else:
new_operations.append(operation)
return new_operations | PypiClean |
/JWaves-0.0.1.tar.gz/JWaves-0.0.1/src/s07_exampleNi3TeO6_simplified.py | import numpy as np
import matplotlib.pyplot as plt
import sys
sys.path.append('.')
from RPA import Lattice, System, Units, Coupling
from MagneticFormFactor import formFactor
import PyCrystalField
# plt.close('all')
S = 1/2
L = 0
Sx = PyCrystalField.LSOperator.Sx(0,S).O
Sy = PyCrystalField.LSOperator.Sy(0,S).O
Sz = PyCrystalField.LSOperator.Sz(0,S).O
operators = np.asarray([Sx,Sy,Sz]).transpose(1,2,0)
T=5# in K
H=[0,0,0]# in T
F = -1.0*2.994#**2#2.7**2#S*(S+1)#np.sqrt(2) # Factor
J1 = -9.2659*F
J2 = -12.9024*F
J3 = 0.6383*F
J4 = 0.6672*F
DM1 = 0.3971*F*2.5#*F
DM2 = 0.3716*F*2.5#*F
Ani = np.diag([0.0,0.0,0.130])*12
numberOfOperators = operators.shape[-1]
J1S1=np.zeros((numberOfOperators,numberOfOperators))
J1S1[:3,:3]=J1*np.eye(3)
J2S1=np.zeros_like(J1S1)
J2S1[:3,:3]=J2*np.eye(3)
J3S1=np.zeros_like(J1S1)
J3S1[:3,:3]=J3*np.eye(3)
J4S1=np.zeros_like(J1S1)
J4S1[:3,:3]=J4*np.eye(3)
def DMMatrixFromVector(v):
return np.asarray([[0.0,v[2],-v[1]],[-v[2],0.0,v[0]],[v[1],-v[0],0.0]])
def VectorFromDMMatrix(m):
return np.asarray([m[1,2],-m[0,2],m[0,1]])
# dmFromSpinW = np.loadtxt(r'C:\Users\lass_j\Desktop\testing2.txt')
# dm1s = np.asarray([dm for dm in dmFromSpinW.T if np.isclose(np.linalg.norm(dm[-3:],axis=0),0.4322,atol=0.01)]).T
dmVector1 = [-0.42746356,-0.29602687,0.85419143];
dmVector2 = [ 0.69239715,-0.07716215,0.71737869];
epsilon=0.35;
omega=np.arange(0,16.0,epsilon/3)#
Qs = np.asarray([#[Q1,Q2,Q3,Q4]
# [4.0,0.0,0],
# [2.0,0.0,0],
# [0.5,0.0,1.7],
# [0.0,0.0,1.7],
# [0.0,0.0,0],
[0.0,0.0,0.0],
[0.0,0.0,6.0],
])
Qs2 = np.asarray([#[Q1,Q2,Q3,Q4]
# [4.0,0.0,0],
# [2.0,0.0,0],
# [0.5,0.0,1.7],
# [0.0,0.0,1.7],
# [0.0,0.0,0],
[0.4,0.0,1.7],
[0.0,0.0,1.7],
])
dq = 71 # steps
QRLU1 = np.concatenate(np.asarray([np.linspace(q1,q2,dq) for q1,q2 in zip(Qs,Qs[1:])])).T
QRLU2 = np.concatenate(np.asarray([np.linspace(q1,q2,dq) for q1,q2 in zip(Qs2,Qs2[1:])])).T
QRLU = np.concatenate([QRLU1,QRLU2],axis=1)
# z1 = 0.5015
# z2 = 0.2081
# z3 = 0.0088
z1 = 0.5015
z2 = 0.2081
z3 = 0.0088
positions = np.asarray([[0.0,0.0,z1],
[2/3,1/3,z1+1/3],
[1/3,2/3,z1+2/3-1],
[0.0,0.0,z2],
[2/3,1/3,z2+1/3],
[1/3,2/3,z2+2/3],
[0.0,0.0,z3],
[2/3,1/3,z3+1/3],
[1/3,2/3,z3+2/3],
])
thetas = [0.0,-np.pi*2/3,np.pi*2/3]*3
rotationOperator = np.asarray([[[np.cos(theta),-np.sin(theta),0.0],[np.sin(theta),np.cos(theta),0.0],[0.0,0.0,1.0]] for theta in thetas])
SS = np.ones((len(positions)))#[1,1,1, 1,1,1, 1,1,1]
lattice = Lattice(S=SS,g = np.full(len(SS),2.327440),
active = np.ones_like(SS),positions = positions,
label = ['Ni2']*len(positions),#,'Ni2','Ni2', 'Ni2','Ni2','Ni2', 'Ni2','Ni2','Ni2'],
site = np.ones_like(SS),#[1,1,1, 1,1,1, 1,1,1],
lattice = [5.15343,5.15343,13.89103,90,90,120],#np.array([[5.15343,0.0,0.0],
# [-5.1534*np.cos(2*np.pi/3)*0,5.15343,0.0],#*np.sin(2*np.pi/3.0),0.0],
# [0.0,0.0,13.89103]]),
# equivalence=[0,0,0,1,1,1,2,2,2]#2,3,4,5,6,7,8,9]
)
# A = np.array([[5.15343,0.0,0.0],
# [-5.1534*np.cos(2*np.pi/3),5.1534*np.sin(2*np.pi/3.0),0.0],
# [0.0,0.0,13.89103]])
# A = np.asarray([5.15343,5.15343,13.89103])
S = System(temperature=T,magneticField=H, lattice=lattice)
S.lattice.generateCouplings(maxDistance = 6.9)
# h = kkk
Js = [J2S1,J1S1,J3S1,J4S1]
distances = [2.7685, 3.0266, 3.5099,3.70855]
labels = ['J2','J1','J3','J4']
# nonzero = np.asarray([[j,d] for j,d in zip(Js,distances) if not np.all(np.isclose(j,0.0))]).T
S.lattice.addExchangeInteractions(Js,distances[:len(Js)],labels=labels,atol=0.001)
for i,pos in enumerate(S.lattice.r):
exchange = Ani
c = Coupling(i,i,pos,pos,np.asarray([0.0,0.0,0.0]),np.asarray([0.0,0.0,0.0]),0.0,exchange=exchange,label='Ani')
S.lattice.couplings.append(c)
def converter(idP):
if(idP+1<4):
return idP+1+6
elif (idP+1)>6:
return (idP+1)-6
else:
return idP+1
# DMMatrix2 = DMMatrixFromVector(dmVector2)
for coup in S.lattice.couplings:
if not np.any([np.isclose(coup.exchange[0,0],J3),np.isclose(coup.exchange[0,0],J4)]):continue
# if not np.isclose(coup.exchange[0,0],J3):continue
p1 = coup.atom1Pos#np.dot(S.lattice.A,coup.atom1Pos)
p2 = coup.atom2Pos#np.dot(S.lattice.A,coup.atom2Pos)#+np.dot(S.lattice.A,coup.dl)
dV = p2-p1
centre = 0.5*(p1+p2)
dVNormal=dV/np.linalg.norm(dV)
ortho = np.cross(dVNormal,np.asarray([0.0,0.0,1.0]))
normal = np.cross(ortho,dVNormal)
normal*=1.0/np.linalg.norm(normal)
DMMatrix = DMMatrixFromVector(normal)
if np.isclose(coup.exchange[0,0],J3):
exchange = DMMatrix*DM1
title = 'DM1'
else:
exchange = DMMatrix*DM2
title = 'DM2'
coup.exchange+=exchange
# newCoupling = Coupling(coup.atom1, coup.atom2, coup.atom1Pos, coup.atom2Pos, coup.dl,
# coup.distanceVector, coup.distance,label=title,
# exchange=exchange)
# S.lattice.couplings.append(newCoupling)
# print(c.atom1,c.atom2,c.dl,dlTest,rotAngle)
# h=kk
#
# J1S1+=DMMatrix1
# J3S1+=DMMatrix2
# h=kkk
S.operators = np.asarray([operators])
S.energies = np.asarray([[0.0,0.0]])
# h=kk
# InitialDistributionSite1_Ext
sizeS = 1
doubling = False # Along c only
config = 1 # not sure
Ncell = 2
nExt = [1,1,Ncell]
numOperators = S.operators.shape[-1]
plot = False
stateUp = np.zeros((numberOfOperators))
stateDown = np.zeros((numberOfOperators))
stateUp[2] = 0.5
stateDown[2] = -1
startStates = np.asarray([-1,1,1, 1,-1,1, 1,-1,1, 1,-1,-1, -1,1,-1, -1,1,-1])#, 1,-1,-1, -1,1,1, -1,-1,1])
fullConfiguration = np.zeros((numOperators,len(S.lattice.r)*Ncell))
for i,state in enumerate(startStates ):
fullConfiguration[:,i] = (state==-1)*stateDown+(state==1)*stateUp
#######################
import numpy as np
from numpy import *
from matplotlib import pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from matplotlib.patches import FancyArrowPatch
from mpl_toolkits.mplot3d import proj3d
class Arrow3D(FancyArrowPatch):
def __init__(self, xs, ys, zs, *args, **kwargs):
FancyArrowPatch.__init__(self, (0,0), (0,0), *args, **kwargs)
self._verts3d = xs, ys, zs
def draw(self, renderer):
xs3d, ys3d, zs3d = self._verts3d
xs, ys, zs = proj3d.proj_transform(xs3d, ys3d, zs3d, renderer.M)
self.set_positions((xs[0],ys[0]),(xs[1],ys[1]))
FancyArrowPatch.draw(self, renderer)
#################
if plot:
ax = plt.figure().add_subplot(projection='3d')
positions = np.asarray([[np.dot(S.lattice.A,x+np.asarray([0,0,c])) for x in S.lattice.r for c in [0]]]).T.reshape(3,-1)
ax.scatter3D(*positions ,c = fullConfiguration[2,:positions.shape[-1]]>0.0)
colours = ['r','b','k']
colours = {}
labelsUsed = []
for coupling in S.lattice.couplings:
#line = np.asarray([S.lattice.r[coupling.atom1],S.lattice.r[coupling.atom2]]).T
try:
if np.sum(np.abs(coupling.exchange))<0.01:
continue
except:
pass
p1 = coupling.atom1Pos#np.dot(S.lattice.A,coupling.atom1Pos)
p2 = coupling.atom2Pos#+np.dot(S.lattice.A,coupling.dl)
if coupling.type == 'Heisenberg':
line = np.asarray([p1,p2]).T
regular = True
a = None
elif coupling.type == '':
line = np.asarray([p1,p2]).T
centre = 0.5*(p1+p2)
vec = VectorFromDMMatrix(coupling.exchange)
vec*=1.0/np.linalg.norm(vec)
lineA = np.asarray([centre,centre+vec]).T
a = Arrow3D(*lineA)
else:
centre = 0.5*(p1+p2)
vec = VectorFromDMMatrix(coupling.exchange)
vec*=5.0/np.linalg.norm(vec)
lineA = np.asarray([centre,centre+vec]).T
a = Arrow3D(*lineA)
line = None
label=coupling.label
if label in labelsUsed:
c = colours[label]
label = '_'+label
else:
labelsUsed.append(label)
c = 'C{}'.format((len(labelsUsed)*1)%10)
if not line is None:
p = ax.plot3D(*line,c=c,label=label)[0]
colour = p.get_color()
if not a is None:
a.set_color(c)
a.set_label(label)
p = ax.add_artist(a)
colour = p.get_facecolor()
if not label[0] == '_':
colours[label] = colour
ax.set_xlabel('x')
ax.set_ylabel('y')
ax.set_zlabel('z')
ax.legend()
diffs = [np.diff(getattr(ax,'get_{}lim'.format(x))()) for x in ['x','y','z']]
M = np.max(diffs)
spare = [0.5*(M-diff) for diff in diffs]
minima = [getattr(ax,'get_{}lim'.format(x))()[0] for x in ['x','y','z']]
[getattr(ax,'set_{}lim'.format(x))(m-s,m+M-s) for x,m,s in zip(['x','y','z'],minima,spare)]
h=kkk
S.fullConfiguration = fullConfiguration
S.lattice.NCell = int(np.product(nExt))
S.lattice.nExt = nExt
# h = KKK
if False:
temperatures = [5]#[300,100,50,30,20,5]
n = int(np.ceil(np.sqrt(len(temperatures))))
m = int(np.ceil(len(temperatures)/n))
# fig,AX = plt.subplots(nrows=m,ncols=n)
# try:
# AX = AX.flatten()
# except:
# AX=[AX]
S.verbose = True
CEF = []
for T,ax in zip(temperatures,np.ones_like(temperatures)):#[1]):
# perform actual calculations
S.temperature = T
S.fullConfiguration = fullConfiguration
# S.fullConfiguration[:3]+=np.random.rand(3, S.fullConfiguration.shape[-1])*0.01
S.solveSelfConsistency(0.01,limit=100)
S.calculateChi0(omega)
cef = np.sum(np.imag(S.Chi0_inelastic[:3,:3]),axis=(0,1))
CEF.append(cef)
# ax.scatter(omega,np.sum(cef,axis=0))
# ax.set_xlabel('Omega [meV]')
# ax.set_ylabel('Imag(Chi)')
# ax.set_title('T = {:.0f} K'.format(T))
#h=kkk
if False:
fig,AX = plt.subplots(nrows=4,ncols=5)
Ax = AX.flatten()
# fig,AX2 = plt.subplots(nrows=4,ncols=5)
# Ax2 = AX2.flatten()
for i,ax in zip(range(18),Ax):
ax.I = ax.imshow(np.real(S.Chi0_elastic[:3,:3,i]))
# for i,ax in zip(range(18),Ax2):
# ax.I = ax.imshow(np.imag(S.Chi0_elastic[:3,:3,i]))
for ax in Ax[:18]:
ax.I.set_clim(0,10)
fig,ax = plt.subplots()
[ax.plot(omega,cef.sum(axis=0),label = label) for cef,label in zip(CEF,temperatures)]
ax.set_xlabel('Omega [meV]')
ax.set_ylabel('Imag(Chi)')
ax.legend()
else:
S.fullConfiguration = fullConfiguration
#S.fullConfiguration[:3]+=np.random.rand(3, S.fullConfiguration.shape[-1])*0.001
S.solveSelfConsistency(limit=100)
S.calculateChi0(omega)
# h=kkk
# for i,ax in zip(range(18),Ax2):
# ax.I = ax.pcolormesh(np.imag(S.Chi0_inelastic[2,2,:,i]))
# for ax in Ax2[:18]:
# ax.I.set_clim(0,10)
S.calculateJQ(QRLU)
S.calculateChi(epsilon=1e-9)
S.calculateSperp()
## calculate prefactor from temperature as well as form factor
prefactor = (1.0/(1-np.exp(-omega*Units.calculateKelvinToMeV(T)*Units.meV))).reshape(1,-1) # shape (nQ,nE)
## Calculate Formfactor
qLength = np.linalg.norm(S.QPoints,axis=1)
J = 4#15/2
Sval=1#5/2
L = 3
Sperp = S.Sperp
F2 = formFactor(qLength,J=J,S=Sval,L=L,ion='Ni2').reshape(-1,1)#np.ones((nQ,1))
Sperp*=F2*prefactor
## Do a Gaussian smearing of the data
sigmaE = 0.1/np.diff(omega[[1,0]])
sigmaQ = 0.05/np.linalg.norm(np.diff(S.QPoints[[1,0]],axis=0))
def generateTicsk(Qs,ticks=7):
Qsegments = len(Qs)-1
if Qsegments>=7:
ticks = Qsegments
tickPositions = np.linspace(0,Qsegments,ticks)
ticks = ['\n'.join(['{:.2f}'.format(x) for x in Q]) for Q in Qs]
else:
#tickPositions = np.linspace(0,Qsegments,totalTicks)
ticksPerQSegment = int(np.round((ticks-2)/Qsegments))
tickPositions = np.concatenate([*[np.arange(0,1,1/ticksPerQSegment)+I for I in range(Qsegments)],[Qsegments]])
QRLUTickPositions = np.concatenate([*np.asarray([np.linspace(q1,q2,ticksPerQSegment+1)[:-1] for q1,q2 in zip(Qs,Qs[1:])]),[Qs[-1].T]])
ticks = ['\n'.join(['{:.2f}'.format(x) for x in Q]) for Q in QRLUTickPositions]
return tickPositions,ticks
# def multiTicks(QQS,totalTicks =)
if True:
fig,AX = plt.subplots(ncols=2)
ax = AX[0]
Qsteps = QRLU.shape[-1]
Qsegments = np.round(Qsteps/dq).astype(int)
tickPositions = np.arange(0,Qsegments+0.1)
p = ax.pcolormesh(np.arange(QRLU.shape[-1])/dq,omega,Sperp.T,shading='auto')#I.T)
mi,ma = p.get_clim()
ax.axis('auto')
# fig.colorbar(p)
ax.set_xlabel('Q = (0,0,L) [rlu]')
ax.set_ylabel('Energy [meV]')
tickPositions,ticksLabels = generateTicsk(Qs,12)
ax.set_xticks(tickPositions)
ax.set_xticklabels(ticksLabels)
ax.set_title('H = '+','.join(['{:.0f}'.format(x) for x in H]))
# p.set_clim(0,10)
ax = AX[1]
Qsteps = QRLU.shape[-1]
Qsegments = np.round(Qsteps/dq).astype(int)
tickPositions = np.arange(0,Qsegments+0.1)
ITotal = np.einsum('...ii->...',np.imag(S.Chi_total[:,:,:3,:3]))
p2 = ax.pcolormesh(np.arange(QRLU.shape[-1])/dq,omega,ITotal.T,shading='auto')#I.T)
mi,ma = np.min([mi,p2.get_clim()[0]]),np.max([ma,p2.get_clim()[1]])
ax.axis('auto')
fig.colorbar(p)
ax.set_xlabel('Q = (0,0,L) [rlu]')
ax.set_ylabel('Energy [meV]')
tickPositions,ticksLabels = generateTicsk(Qs,14)
ax.set_xticks(tickPositions)
ax.set_xticklabels(ticksLabels)
# ma = 15
# p.set_clim(0.0,ma)
# p2.set_clim(0.0,ma)
ax.set_title('TOTAL S H = '+','.join(['{:.0f}'.format(x) for x in H])) | PypiClean |
/Flask-Statics-Helper-1.0.0.tar.gz/Flask-Statics-Helper-1.0.0/flask_statics/static/angular/i18n/angular-locale_kn.js | 'use strict';
angular.module("ngLocale", [], ["$provide", function($provide) {
var PLURAL_CATEGORY = {ZERO: "zero", ONE: "one", TWO: "two", FEW: "few", MANY: "many", OTHER: "other"};
$provide.value("$locale", {
"DATETIME_FORMATS": {
"AMPMS": [
"\u0caa\u0cc2\u0cb0\u0ccd\u0cb5\u0cbe\u0cb9\u0ccd\u0ca8",
"\u0c85\u0caa\u0cb0\u0cbe\u0cb9\u0ccd\u0ca8"
],
"DAY": [
"\u0cad\u0cbe\u0ca8\u0cc1\u0cb5\u0cbe\u0cb0",
"\u0cb8\u0ccb\u0cae\u0cb5\u0cbe\u0cb0",
"\u0cae\u0c82\u0c97\u0cb3\u0cb5\u0cbe\u0cb0",
"\u0cac\u0cc1\u0ca7\u0cb5\u0cbe\u0cb0",
"\u0c97\u0cc1\u0cb0\u0cc1\u0cb5\u0cbe\u0cb0",
"\u0cb6\u0cc1\u0c95\u0ccd\u0cb0\u0cb5\u0cbe\u0cb0",
"\u0cb6\u0ca8\u0cbf\u0cb5\u0cbe\u0cb0"
],
"MONTH": [
"\u0c9c\u0ca8\u0cb5\u0cb0\u0cbf",
"\u0cab\u0cc6\u0cac\u0ccd\u0cb0\u0cb5\u0cb0\u0cbf",
"\u0cae\u0cbe\u0cb0\u0ccd\u0c9a\u0ccd",
"\u0c8f\u0caa\u0ccd\u0cb0\u0cbf\u0cb2\u0ccd",
"\u0cae\u0cc7",
"\u0c9c\u0cc2\u0ca8\u0ccd",
"\u0c9c\u0cc1\u0cb2\u0cc8",
"\u0c86\u0c97\u0cb8\u0ccd\u0c9f\u0ccd",
"\u0cb8\u0cc6\u0caa\u0ccd\u0c9f\u0cc6\u0c82\u0cac\u0cb0\u0ccd",
"\u0c85\u0c95\u0ccd\u0c9f\u0ccb\u0cac\u0cb0\u0ccd",
"\u0ca8\u0cb5\u0cc6\u0c82\u0cac\u0cb0\u0ccd",
"\u0ca1\u0cbf\u0cb8\u0cc6\u0c82\u0cac\u0cb0\u0ccd"
],
"SHORTDAY": [
"\u0cad\u0cbe\u0ca8\u0cc1",
"\u0cb8\u0ccb\u0cae",
"\u0cae\u0c82\u0c97\u0cb3",
"\u0cac\u0cc1\u0ca7",
"\u0c97\u0cc1\u0cb0\u0cc1",
"\u0cb6\u0cc1\u0c95\u0ccd\u0cb0",
"\u0cb6\u0ca8\u0cbf"
],
"SHORTMONTH": [
"\u0c9c\u0ca8",
"\u0cab\u0cc6\u0cac\u0ccd\u0cb0",
"\u0cae\u0cbe\u0cb0\u0ccd\u0c9a\u0ccd",
"\u0c8f\u0caa\u0ccd\u0cb0\u0cbf",
"\u0cae\u0cc7",
"\u0c9c\u0cc2\u0ca8\u0ccd",
"\u0c9c\u0cc1\u0cb2\u0cc8",
"\u0c86\u0c97",
"\u0cb8\u0cc6\u0caa\u0ccd\u0c9f\u0cc6\u0c82",
"\u0c85\u0c95\u0ccd\u0c9f\u0ccb",
"\u0ca8\u0cb5\u0cc6\u0c82",
"\u0ca1\u0cbf\u0cb8\u0cc6\u0c82"
],
"fullDate": "EEEE, MMMM d, y",
"longDate": "MMMM d, y",
"medium": "MMM d, y hh:mm:ss a",
"mediumDate": "MMM d, y",
"mediumTime": "hh:mm:ss a",
"short": "M/d/yy hh:mm a",
"shortDate": "M/d/yy",
"shortTime": "hh:mm a"
},
"NUMBER_FORMATS": {
"CURRENCY_SYM": "\u20b9",
"DECIMAL_SEP": ".",
"GROUP_SEP": ",",
"PATTERNS": [
{
"gSize": 3,
"lgSize": 3,
"maxFrac": 3,
"minFrac": 0,
"minInt": 1,
"negPre": "-",
"negSuf": "",
"posPre": "",
"posSuf": ""
},
{
"gSize": 3,
"lgSize": 3,
"maxFrac": 2,
"minFrac": 2,
"minInt": 1,
"negPre": "\u00a4-",
"negSuf": "",
"posPre": "\u00a4",
"posSuf": ""
}
]
},
"id": "kn",
"pluralCat": function(n, opt_precision) { var i = n | 0; if (i == 0 || n == 1) { return PLURAL_CATEGORY.ONE; } return PLURAL_CATEGORY.OTHER;}
});
}]); | PypiClean |
/Enarksh-Lib-0.0.6.tar.gz/Enarksh-Lib-0.0.6/enarksh_lib/xml_generator/node/Node.py | import abc
from xml.etree.ElementTree import SubElement
from enarksh_lib.xml_generator.port.InputPort import InputPort
from enarksh_lib.xml_generator.port.OutputPort import OutputPort
class Node(metaclass=abc.ABCMeta):
"""
Class for generating XML messages for elements of type 'NodeType'.
"""
# ------------------------------------------------------------------------------------------------------------------
ALL_PORT_NAME = 'all'
"""
Token for 'all' input or output ports on a node.
:type: str
"""
NODE_SELF_NAME = '.'
"""
Token for node self.
:type: str
"""
NODE_ALL_NAME = '*'
"""
Token for all child nodes.
:type: str
"""
# ------------------------------------------------------------------------------------------------------------------
def __init__(self, name):
"""
Object constructor.
:param str name: The name of the node.
"""
self.name = name
"""
The name of the node.
:type: str
"""
self.child_nodes = []
"""
The child nodes of this node.
:type: list[enarksh_lib.xml_generator.node.Node.Node]
"""
self.consumptions = []
"""
The consumptions.
:type: list[enarksh_lib.xml_generator.consumption.Consumption.Consumption]
"""
self.input_ports = []
"""
The input ports of this node.
:type: list[enarksh_lib.xml_generator.port.InputPort.InputPort]
"""
self.output_ports = []
"""
The output ports of this node.
:type: list[enarksh_lib.xml_generator.port.OutputPort.OutputPort]
"""
self.parent = None
"""
The parent node of this node.
:type: enarksh_lib.xml_generator.node.Node.Node
"""
self.resources = []
"""
The resources of this node.
:type: list[enarksh_lib.xml_generator.resource.Resource.Resource]
"""
self.username = ''
"""
The user under which this node or its child nodes must run.
:type: str
"""
# ------------------------------------------------------------------------------------------------------------------
def add_child_node(self, child_node):
"""
Adds a node as a child node of this node.
:param enarksh_lib.xml_generator.node.Node.Node child_node: The new child node.
"""
self.child_nodes.append(child_node)
child_node.parent = self
# ------------------------------------------------------------------------------------------------------------------
def add_dependency(self, successor_node_name, successor_port_name, predecessor_node_name, predecessor_port_name):
"""
Adds a dependency between two child nodes are this node and a child node.
:param str successor_node_name: The successor node (use NODE_SELF_NAME for the this node).
:param str successor_port_name: The successor port.
:param str predecessor_node_name: The predecessor node (use NODE_SELF_NAME for the this node).
:param str predecessor_port_name: The predecessor port.
"""
if not predecessor_port_name:
predecessor_port_name = self.ALL_PORT_NAME
if not successor_port_name:
successor_port_name = self.ALL_PORT_NAME
if successor_node_name == self.NODE_SELF_NAME:
succ_port = self.get_output_port(successor_port_name)
else:
succ_node = self.get_child_node(successor_node_name)
succ_port = succ_node.get_input_port(successor_port_name)
if predecessor_node_name == self.NODE_SELF_NAME:
pred_port = self.get_input_port(predecessor_port_name)
else:
pred_node = self.get_child_node(predecessor_node_name)
pred_port = pred_node.get_output_port(predecessor_port_name)
succ_port.add_dependency(pred_port)
# ------------------------------------------------------------------------------------------------------------------
def finalize(self):
"""
Ensures that all required dependencies between the 'all' input and output ports are present and removes
redundant dependencies between ports and nodes.
"""
self.ensure_dependencies()
self.purge()
# ------------------------------------------------------------------------------------------------------------------
@abc.abstractmethod
def generate_xml(self, parent):
"""
Generates the XML element for this node.
:param xml.etree.ElementTree.Element parent: The parent XML element.
:rtype: None
"""
raise NotImplementedError()
# ------------------------------------------------------------------------------------------------------------------
def _generate_xml_common(self, parent):
"""
Generates the common XML elements of the XML element for this node.
:param xml.etree.ElementTree.Element parent: The parent XML element (i.e. the node XML element).
"""
# Generate XML for the node name.
node_name = SubElement(parent, 'NodeName')
node_name.text = self.name
# Generate XML for username.
if self.username:
username = SubElement(parent, 'UserName')
username.text = self.username
# Generate XML for input ports.
if self.input_ports:
input_ports = SubElement(parent, 'InputPorts')
for port in self.input_ports:
port.generate_xml(input_ports)
# Generate XML for consumptions.
if self.consumptions:
consumptions = SubElement(parent, 'Consumptions')
for consumption in self.consumptions:
consumption.generate_xml(consumptions)
# Generate XML for output ports.
if self.output_ports:
output_ports = SubElement(parent, 'OutputPorts')
for port in self.output_ports:
port.generate_xml(output_ports)
# Generate XML for resources.
if self.resources:
resources = SubElement(parent, 'Resources')
for resource in self.resources:
resource.generate_xml(resources)
# Generate XML for nodes.
if self.child_nodes:
child_nodes = SubElement(parent, 'Nodes')
for node in self.child_nodes:
node.pre_generate_xml()
node.generate_xml(child_nodes)
# ------------------------------------------------------------------------------------------------------------------
def get_child_node(self, name):
"""
Returns a child node by name. If no child node such name exists an exception is thrown.
:param str name: The name of the child node.
:rtype: enarksh_lib.xml_generator.node.Node.Node
"""
ret = self.search_child_node(name)
if not ret:
raise ValueError("Child node with name '{0}' doesn't exists".format(name))
return ret
# ------------------------------------------------------------------------------------------------------------------
def get_implicit_dependencies_input_ports(self, port_name, ports, level):
"""
:param string port_name:
:param list[] ports:
:param int level:
"""
port = self.get_input_port(port_name)
if port not in ports:
if level:
ports.append(port)
port.get_dependencies_ports(ports, level + 1)
# ------------------------------------------------------------------------------------------------------------------
def get_implicit_dependencies_output_ports(self, port_name, ports, level):
"""
:param string port_name:
:param list[] ports:
:param int level:
"""
port = self.get_output_port(port_name)
if port not in ports:
if level:
ports.append(port)
port.get_dependencies_ports(ports, level + 1)
# ------------------------------------------------------------------------------------------------------------------
def get_input_port(self, name):
"""
Returns input port with 'name'. If no input port with 'name' exists an exception is thrown.
:param string name: The name of the port.
:rtype: enarksh_lib.xml_generator.port.Port.Port
"""
ret = self.search_input_port(name)
if not ret:
if name == self.ALL_PORT_NAME:
ret = self.make_input_port(name)
else:
raise Exception("Node '{0}' doesn't have input port '{1}'".format(self.name, name))
return ret
# ------------------------------------------------------------------------------------------------------------------
def get_output_port(self, name):
"""
Returns output port with 'name'. If no output port with 'name' exists, an exception is thrown.
:param str name: The name of the output port.
:rtype: enarksh_lib.xml_generator.port.Port.Port
"""
ret = self.search_output_port(name)
if not ret:
if name == self.ALL_PORT_NAME:
ret = self.make_output_port(name)
else:
raise Exception("Node '{0}' doesn't have output port '{1}'".format(self.name, name))
return ret
# ------------------------------------------------------------------------------------------------------------------
def get_path(self):
"""
Returns the path of this node.
:rtype: str
"""
path = self.parent.get_path() if self.parent else "/"
return path + self.name
# ------------------------------------------------------------------------------------------------------------------
def make_input_port(self, name):
"""
Creates an input port with name 'name' and returns that input port.
:param str name: The name of port.
:rtype: enarksh_lib.xml_generator.port.Port.Port
"""
port = InputPort(self, name)
self.input_ports.append(port)
return port
# ------------------------------------------------------------------------------------------------------------------
def make_output_port(self, name):
"""
Creates an output port with name 'name' and returns that output port.
:param str name: The name of port.
:rtype: enarksh_lib.xml_generator.port.Port.Port
"""
port = OutputPort(self, name)
self.output_ports.append(port)
return port
# ------------------------------------------------------------------------------------------------------------------
def pre_generate_xml(self):
"""
This function can be called before generation XML and is intended to be overloaded.
:rtype: None
"""
# Nothing to do.
pass
# ------------------------------------------------------------------------------------------------------------------
def purge(self):
"""
Removes duplicate dependencies and dependencies that are dependencies of predecessors.
"""
for port in self.input_ports:
port.purge()
for node in self.child_nodes:
node.purge()
for port in self.output_ports:
port.purge()
# ------------------------------------------------------------------------------------------------------------------
def remove_child_node(self, node_name):
"""
Removes node 'node_name' as a child node. The dependencies of any successor of 'node' will be replaced
with all dependencies of the removed node.
:param str node_name:
"""
node = None
# Find and remove node 'node_name'.
for tmp in self.child_nodes:
if tmp.name == node_name:
node = tmp
self.child_nodes.remove(tmp)
break
if not node:
raise Exception("Node '{0}' doesn't have child node '{1}'".format(self.get_path(), node_name))
# Get all dependencies of the node.
deps = []
for port in node.input_ports:
for dep in port.predecessors:
deps.append(dep)
for tmp in self.child_nodes:
tmp.replace_node_dependency(node_name, deps)
for port in self.output_ports:
port.replace_node_dependency(node_name, deps)
# ------------------------------------------------------------------------------------------------------------------
def replace_node_dependency(self, node_name, dependencies):
"""
Replaces any dependency of this node on node 'node_name' with dependencies 'dependencies'.
:param str node_name:
:param list[] dependencies:
"""
for port in self.input_ports:
port.replace_node_dependency(node_name, dependencies)
# ------------------------------------------------------------------------------------------------------------------
def search_child_node(self, name):
"""
If this node has a child node with name 'name' that child node will be returned.
If no child node with 'name' exists, returns None.
:param str name: The name of the child node.
:rtype: None|enarksh_lib.xml_generator.node.Node.Node
"""
ret = None
for node in self.child_nodes:
if node.name == name:
ret = node
break
return ret
# ------------------------------------------------------------------------------------------------------------------
def search_input_port(self, name):
"""
If this node has a input port with name 'name' that input port will be returned.
If no input port with 'name' exists, returns None.
:param str name: The name of the input port.
:rtype: None|enarksh_lib.xml_generator.port.InputPort.InputPort
"""
ret = None
for port in self.input_ports:
if port.port_name == name:
ret = port
break
return ret
# ------------------------------------------------------------------------------------------------------------------
def search_output_port(self, name):
"""
If this node has a output port with name 'name' that output port will be returned.
If no output port with 'name' exists, returns None.
:param str name: The name of the output port.
:rtype: None|enarksh_lib.xml_generator.port.InputPort.InputPort
"""
ret = None
for port in self.output_ports:
if port.port_name == name:
ret = port
break
return ret
# ------------------------------------------------------------------------------------------------------------------
def ensure_dependencies_input_port(self):
"""
Ensures that the input port 'all' of all child nodes depends on input port 'all' of this node.
"""
parent_port = self.get_input_port(self.ALL_PORT_NAME) # Ensure we have create the 'all' input port.
if len(self.input_ports) > 1:
raise ValueError("Compound node '{0}' has additional input ports therefore {1} must "
"override this method.".format(self.name, self.__class__))
for node in self.child_nodes:
child_port = node.get_input_port(self.ALL_PORT_NAME)
child_port.add_dependency(parent_port)
# ------------------------------------------------------------------------------------------------------------------
def ensure_dependencies_output_port(self):
"""
Ensures that output port 'all' of the node depends on all output ports 'all' of all child nodes.
"""
parent_port = self.get_output_port(self.ALL_PORT_NAME)
for node in self.child_nodes:
child_port = node.get_output_port(self.ALL_PORT_NAME)
parent_port.add_dependency(child_port)
# ------------------------------------------------------------------------------------------------------------------
def ensure_dependencies_self(self):
"""
Ensures input port 'all' of this node depends on output 'all' of each predecessor of this node.
"""
input_port_all = self.get_input_port(self.ALL_PORT_NAME)
for input_port in self.input_ports:
for port in input_port.predecessors:
if port.node != self.parent:
input_port_all.add_dependency(port.node.get_output_port(self.ALL_PORT_NAME))
# ------------------------------------------------------------------------------------------------------------------
def ensure_dependencies(self):
"""
Creates the following dependencies:
- Dependencies between the input port 'all' and the input port 'all' of all the child nodes of this nodes.
- Dependencies between all output ports 'all' of all child nodes and the output port 'all' of this node.
- Dependencies between the input port 'all' of this node and the output ports 'all' of all predecessor nodes of
this node.
This is done recursively for all child node.
Remember: Redundant and duplicate dependencies are removed by purge().
"""
if self.child_nodes:
# Apply this method recursively for all child node.
for node in self.child_nodes:
node.ensure_dependencies()
self.ensure_dependencies_input_port()
self.ensure_dependencies_output_port()
self.ensure_dependencies_self()
# ---------------------------------------------------------------------------------------------------------------------- | PypiClean |
/BottleJwtAuth-21.9.1.tar.gz/BottleJwtAuth-21.9.1/src/JwtAuth/jwtAuth.py | import os
from JwtEncoder import JwtEncoder
from .bottle_utils import (
_Log,
UnauthorizedError,
BadRequestError,
request
)
DEBUG = os.environ.get('DEBUG',False)
class JwtAuth:
api = 2
name = 'JwtAuth'
def __init__(self, jwt_config, issuer, audience, url_prefix='/', log=_Log(), **kwargs):
if url_prefix[-1] != '/':
raise Exception('JwtAuth: url_prefix must end in "/"')
self.url_prefix = url_prefix
self.name = url_prefix
self.audience = audience
self.logger = log
self.issuer = issuer
self.jwt = JwtEncoder(jwt_config=jwt_config)
def setup(self, app):
for plugin in app.plugins:
if isinstance(plugin, JwtAuth):
if self.url_prefix in plugin.url_prefix or plugin.url_prefix in self.url_prefix:
# Overlapping url_prefix
emsg = f'\nJwtAuth: Error - Overlapping URL prefixes \'{self.url_prefix}\' and \'{plugin.url_prefix}\''
raise Exception(emsg)
self.logger.info(f'JwtAuth: Plugin installed for path {self.url_prefix}')
def close(self):
pass
def apply(self, f, route):
""" Check and apply prefix route """
if route.rule.startswith(self.url_prefix):
# This is a protected route.
# apply any route restrictions first (referse order of checks)
f = self.__apply_require_claim(f, route)
f = self.__apply_require_scope(f, route)
self.logger.debug(f'JwtAuth: prefix \'{self.name}\' audience validation applied to {route.rule}')
# Apply audience route validation
def _wrapper(*args, **kwargs):
if tok := self._get_request_token():
if self._validate_token(tok):
# successful token validation
return f (*args, **kwargs)
else:
return UnauthorizedError('Token error')
else:
return BadRequestError('Malformed or missing Auth header')
_wrapper.__name__ = f.__name__
return _wrapper
return f
def __apply_require_scope(self, f, route):
""" Require scopes on a route """
if required_scope := route.config.get('scp'):
self.logger.debug(f'JwtAuth: applying scope requirement on {route.rule}')
def _wrapper(*args, **kwargs):
# Validate scope
payload = request.token_payload
payload_scope = payload.get('scp') or payload.get('scope')
testok = True
if payload_scope is None:
# token doesn't have scp or scope
testok = False
elif type(required_scope) is str and required_scope not in payload_scope:
# single scope required and is not present
testok = False
elif type(required_scope) is list:
# multiple required scopes (e.g. scp=['email','user.read']
# All required scope values must be present.
for req_scp in required_scope:
if req_scp not in payload_scope:
testok = False
break
if testok:
# required scopes are satisfied
return f(*args, **kwargs)
return UnauthorizedError(f'Insufficient scope - requires: \'{required_scope}\'')
_wrapper.__name__ = f.__name__
return _wrapper
# No wrapper
return f
def __apply_require_claim(self, f, route):
""" Require claims on a route """
claim = 'claim'
if route.config.get(claim, False):
self.logger.debug(f'JwtAuth: applying claim restricition on {route.rule}')
# Build required claim list from config namespace
req_claim_list = {}
for key in route.config.get(claim):
req_claim_list[key] = route.config[claim + '.' + key]
def _claim_required(*args, **kwargs):
""" Require claim/value match """
payload = request.token_payload
# check each claim to test
for claim, value in req_claim_list.items():
# For every claim, the token must match at least one value
if claim not in payload or \
not test_attrs(payload[claim], value):
return UnauthorizedError('Missing one or more required claims')
# all tests have passed to get here
return f(*args, **kwargs)
_claim_required.__name__ = f.__name__
return _claim_required
else:
return f
def _get_request_token(self):
""" Retrieve jwt from request Authroization Header """
auth_header = request.headers.get('Authorization')
if auth_header and 'Bearer' in auth_header:
token = auth_header.split(' ')[-1]
if len(token.split('.')) == 3:
# looks like a token
return token
# Meh.. bad or missing token
return None
def _validate_token(self, token):
""" Verify JWT token """
try:
payload = self.jwt.decode(token, issuer=self.issuer, audience=self.audience)
# add the payload to the request context
request.token_payload = payload
except Exception as e:
self.logger.info(f'Token validation failed {str(e)}')
return None
return payload
#
# Helper routines
#
def test_attrs(challenge, standard):
"""
test_attrs()
Compare list or val the standard.
- return True if at least one item from chalange list is in standard list
- False if no match
"""
stand_list = standard if type(standard) is list else [standard]
chal_list = challenge if type(challenge) is list else [challenge]
for chal in chal_list:
if chal in stand_list:
return True
return False | PypiClean |
/GottenGeography-1.1.tar.gz/GottenGeography-1.1/gg/utils.py |
from __future__ import division
from cPickle import dumps as pickle
from cPickle import loads as unpickle
from os.path import join, dirname, basename
from xml.parsers.expat import ParserCreate, ExpatError
from gi.repository import GConf, Clutter, Champlain
from math import acos, sin, cos, radians
from time import strftime, localtime
from math import modf as split_float
from gettext import gettext as _
from fractions import Fraction
from pyexiv2 import Rational
from territories import get_state, get_country
def get_file(filename):
"""Find a file that's in the same directory as this program."""
return join(dirname(__file__), filename)
def make_clutter_color(color):
"""Generate a Clutter.Color from the currently chosen color."""
return Clutter.Color.new(
*[x / 256 for x in [color.red, color.green, color.blue, 32768]])
################################################################################
# GConf methods. These methods interact with GConf.
################################################################################
gconf = GConf.Client.get_default()
def gconf_key(key):
"""Determine appropriate GConf key that is unique to this application."""
return "/apps/gottengeography/" + key
def gconf_set(key, value):
"""Sets the given GConf key to the given value."""
gconf.set_string(gconf_key(key), pickle(value))
def gconf_get(key, default=None):
"""Gets the given GConf key as the requested type."""
try:
return unpickle(gconf.get_string(gconf_key(key)))
except TypeError:
return default
################################################################################
# GPS math functions. These methods convert numbers into other numbers.
################################################################################
def dms_to_decimal(degrees, minutes, seconds, sign=" "):
"""Convert degrees, minutes, seconds into decimal degrees."""
return (-1 if sign[0] in 'SWsw' else 1) * (
float(degrees) +
float(minutes) / 60 +
float(seconds) / 3600
)
def decimal_to_dms(decimal):
"""Convert decimal degrees into degrees, minutes, seconds."""
remainder, degrees = split_float(abs(decimal))
remainder, minutes = split_float(remainder * 60)
return [
Rational(degrees, 1),
Rational(minutes, 1),
float_to_rational(remainder * 60)
]
def float_to_rational(value):
"""Create a pyexiv2.Rational with help from fractions.Fraction."""
frac = Fraction(abs(value)).limit_denominator(99999)
return Rational(frac.numerator, frac.denominator)
def valid_coords(lat, lon):
"""Determine the validity of coordinates."""
if type(lat) not in (float, int): return False
if type(lon) not in (float, int): return False
return abs(lat) <= 90 and abs(lon) <= 180
################################################################################
# String formatting methods. These methods manipulate strings.
################################################################################
def format_list(strings, joiner=", "):
"""Join geonames with a comma, ignoring missing names."""
return joiner.join([name for name in strings if name])
def maps_link(lat, lon, anchor=_("View in Google Maps")):
"""Create a Pango link to Google Maps."""
return '<a title="%s" href="http://maps.google.com/maps?q=%s,%s">Google</a>' % (anchor, lat, lon)
def format_coords(lat, lon):
"""Add cardinal directions to decimal coordinates."""
return "%s %.5f, %s %.5f" % (
_("N") if lat >= 0 else _("S"), abs(lat),
_("E") if lon >= 0 else _("W"), abs(lon)
)
################################################################################
# Class definitions.
################################################################################
class Polygon(Champlain.PathLayer):
"""Extend a Champlain.PathLayer to do things more the way I like them."""
def __init__(self):
super(Champlain.PathLayer, self).__init__()
self.set_stroke_width(4)
def append_point(self, latitude, longitude, elevation):
"""Simplify appending a point onto a polygon."""
coord = Champlain.Coordinate.new_full(latitude, longitude)
coord.lat = latitude
coord.lon = longitude
coord.ele = elevation
self.add_node(coord)
return coord
class Coordinates():
"""A generic object containing latitude and longitude coordinates.
This class is inherited by Photograph and TrackFile and contains methods
required by both of those classes.
The geodata attribute of this class is shared across all instances of
all subclasses of this class. When it is modified by any instance, the
changes are immediately available to all other instances. It serves as
a cache for data read from cities.txt, which contains geocoding data
provided by geonames.org. All subclasses of this class can call
self.lookup_geoname() and receive cached data if it was already
looked up by another instance of any subclass.
"""
provincestate = None
countrycode = None
countryname = None
city = None
filename = ""
altitude = None
latitude = None
longitude = None
timestamp = None
timezone = None
geodata = {}
def valid_coords(self):
"""Check if this object contains valid coordinates."""
return valid_coords(self.latitude, self.longitude)
def maps_link(self):
"""Return a link to Google Maps if this object has valid coordinates."""
if self.valid_coords():
return maps_link(self.latitude, self.longitude)
def lookup_geoname(self):
"""Search cities.txt for nearest city."""
if not self.valid_coords():
return
assert self.geodata is Coordinates.geodata
key = "%.2f,%.2f" % (self.latitude, self.longitude)
if key in self.geodata:
return self.set_geodata(self.geodata[key])
near, dist = None, float('inf')
lat1, lon1 = radians(self.latitude), radians(self.longitude)
with open(get_file("cities.txt")) as cities:
for city in cities:
name, lat, lon, country, state, tz = city.split("\t")
lat2, lon2 = radians(float(lat)), radians(float(lon))
delta = acos(sin(lat1) * sin(lat2) +
cos(lat1) * cos(lat2) *
cos(lon2 - lon1)) * 6371 # earth's radius in km
if delta < dist:
dist = delta
near = [name, state, country, tz]
self.geodata[key] = near
return self.set_geodata(near)
def set_geodata(self, data):
"""Apply geodata to internal attributes."""
self.city, state, self.countrycode, tz = data
self.provincestate = get_state(self.countrycode, state)
self.countryname = get_country(self.countrycode)
self.timezone = tz.strip()
return self.timezone
def pretty_time(self):
"""Convert epoch seconds to a human-readable date."""
if type(self.timestamp) is int:
return strftime("%Y-%m-%d %X", localtime(self.timestamp))
def pretty_coords(self):
"""Add cardinal directions to decimal coordinates."""
return format_coords(self.latitude, self.longitude) \
if self.valid_coords() else _("Not geotagged")
def pretty_geoname(self):
"""Display city, state, and country, if present."""
names = [self.city, self.provincestate, self.countryname]
length = sum(map(len, names))
return format_list(names, ',\n' if length > 35 else ', ')
def pretty_elevation(self):
"""Convert elevation into a human readable format."""
if type(self.altitude) in (float, int):
return "%.1f%s" % (abs(self.altitude), _("m above sea level")
if self.altitude >= 0 else _("m below sea level"))
def short_summary(self):
"""Plaintext summary of photo metadata."""
return format_list([self.pretty_time(), self.pretty_coords(),
self.pretty_geoname(), self.pretty_elevation()], "\n")
def long_summary(self):
"""Longer summary with Pango markup."""
return '<span %s>%s</span>\n<span %s>%s</span>' % (
'size="larger"', basename(self.filename),
'style="italic" size="smaller"', self.short_summary()
)
class XMLSimpleParser:
"""A simple wrapper for the Expat XML parser."""
def __init__(self, rootname, watchlist):
self.rootname = rootname
self.watchlist = watchlist
self.call_start = None
self.call_end = None
self.element = None
self.tracking = None
self.state = {}
self.parser = ParserCreate()
self.parser.StartElementHandler = self.element_root
def parse(self, filename, call_start, call_end):
"""Begin the loading and parsing of the XML file."""
self.call_start = call_start
self.call_end = call_end
try:
with open(filename) as xml:
self.parser.ParseFile(xml)
except ExpatError:
raise IOError
def element_root(self, name, attributes):
"""Called on the root XML element, we check if it's the one we want."""
if self.rootname != None and name != self.rootname:
raise IOError
self.parser.StartElementHandler = self.element_start
def element_start(self, name, attributes):
"""Only collect the attributes from XML elements that we care about."""
if not self.tracking:
if name not in self.watchlist:
return
if self.call_start(name, attributes):
# Start tracking this element, accumulate everything under it.
self.tracking = name
self.parser.CharacterDataHandler = self.element_data
self.parser.EndElementHandler = self.element_end
if self.tracking is not None:
self.element = name
self.state[name] = ""
self.state.update(attributes)
def element_data(self, data):
"""Accumulate all data for an element.
Expat can call this handler multiple times with data chunks.
"""
if not data or data.strip() == '':
return
self.state[self.element] += data
def element_end(self, name):
"""When the tag closes, pass it's data to the end callback and reset."""
if name != self.tracking:
return
self.call_end(name, self.state)
self.tracking = None
self.state.clear()
self.parser.CharacterDataHandler = None
self.parser.EndElementHandler = None
class Struct:
"""This is a generic object which can be assigned arbitrary attributes."""
def __init__(self, attributes={}):
self.__dict__.update(attributes) | PypiClean |
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