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callowayproject/django-categories | categories/migration.py | migrate_app | def migrate_app(sender, *args, **kwargs):
"""
Migrate all models of this app registered
"""
from .registration import registry
if 'app_config' not in kwargs:
return
app_config = kwargs['app_config']
app_name = app_config.label
fields = [fld for fld in list(registry._field_regis... | python | def migrate_app(sender, *args, **kwargs):
"""
Migrate all models of this app registered
"""
from .registration import registry
if 'app_config' not in kwargs:
return
app_config = kwargs['app_config']
app_name = app_config.label
fields = [fld for fld in list(registry._field_regis... | [
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callowayproject/django-categories | categories/models.py | Category.get_absolute_url | def get_absolute_url(self):
"""Return a path"""
from django.urls import NoReverseMatch
if self.alternate_url:
return self.alternate_url
try:
prefix = reverse('categories_tree_list')
except NoReverseMatch:
prefix = '/'
ancestors = list(... | python | def get_absolute_url(self):
"""Return a path"""
from django.urls import NoReverseMatch
if self.alternate_url:
return self.alternate_url
try:
prefix = reverse('categories_tree_list')
except NoReverseMatch:
prefix = '/'
ancestors = list(... | [
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callowayproject/django-categories | categories/models.py | CategoryRelationManager.get_content_type | def get_content_type(self, content_type):
"""
Get all the items of the given content type related to this item.
"""
qs = self.get_queryset()
return qs.filter(content_type__name=content_type) | python | def get_content_type(self, content_type):
"""
Get all the items of the given content type related to this item.
"""
qs = self.get_queryset()
return qs.filter(content_type__name=content_type) | [
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callowayproject/django-categories | categories/models.py | CategoryRelationManager.get_relation_type | def get_relation_type(self, relation_type):
"""
Get all the items of the given relationship type related to this item.
"""
qs = self.get_queryset()
return qs.filter(relation_type=relation_type) | python | def get_relation_type(self, relation_type):
"""
Get all the items of the given relationship type related to this item.
"""
qs = self.get_queryset()
return qs.filter(relation_type=relation_type) | [
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callowayproject/django-categories | categories/apps.py | handle_class_prepared | def handle_class_prepared(sender, **kwargs):
"""
See if this class needs registering of fields
"""
from .settings import M2M_REGISTRY, FK_REGISTRY
from .registration import registry
sender_app = sender._meta.app_label
sender_name = sender._meta.model_name
for key, val in list(FK_REGISTR... | python | def handle_class_prepared(sender, **kwargs):
"""
See if this class needs registering of fields
"""
from .settings import M2M_REGISTRY, FK_REGISTRY
from .registration import registry
sender_app = sender._meta.app_label
sender_name = sender._meta.model_name
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callowayproject/django-categories | categories/editor/tree_editor.py | TreeEditor.get_queryset | def get_queryset(self, request):
"""
Returns a QuerySet of all model instances that can be edited by the
admin site. This is used by changelist_view.
"""
qs = self.model._default_manager.get_queryset()
qs.__class__ = TreeEditorQuerySet
return qs | python | def get_queryset(self, request):
"""
Returns a QuerySet of all model instances that can be edited by the
admin site. This is used by changelist_view.
"""
qs = self.model._default_manager.get_queryset()
qs.__class__ = TreeEditorQuerySet
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callowayproject/django-categories | categories/base.py | CategoryBaseAdmin.deactivate | def deactivate(self, request, queryset):
"""
Set active to False for selected items
"""
selected_cats = self.model.objects.filter(
pk__in=[int(x) for x in request.POST.getlist('_selected_action')])
for item in selected_cats:
if item.active:
... | python | def deactivate(self, request, queryset):
"""
Set active to False for selected items
"""
selected_cats = self.model.objects.filter(
pk__in=[int(x) for x in request.POST.getlist('_selected_action')])
for item in selected_cats:
if item.active:
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callowayproject/django-categories | categories/management/commands/import_categories.py | Command.get_indent | def get_indent(self, string):
"""
Look through the string and count the spaces
"""
indent_amt = 0
if string[0] == '\t':
return '\t'
for char in string:
if char == ' ':
indent_amt += 1
else:
return ' ' * ... | python | def get_indent(self, string):
"""
Look through the string and count the spaces
"""
indent_amt = 0
if string[0] == '\t':
return '\t'
for char in string:
if char == ' ':
indent_amt += 1
else:
return ' ' * ... | [
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callowayproject/django-categories | categories/management/commands/import_categories.py | Command.make_category | def make_category(self, string, parent=None, order=1):
"""
Make and save a category object from a string
"""
cat = Category(
name=string.strip(),
slug=slugify(SLUG_TRANSLITERATOR(string.strip()))[:49],
# arent=parent,
order=order
)
... | python | def make_category(self, string, parent=None, order=1):
"""
Make and save a category object from a string
"""
cat = Category(
name=string.strip(),
slug=slugify(SLUG_TRANSLITERATOR(string.strip()))[:49],
# arent=parent,
order=order
)
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callowayproject/django-categories | categories/management/commands/import_categories.py | Command.parse_lines | def parse_lines(self, lines):
"""
Do the work of parsing each line
"""
indent = ''
level = 0
if lines[0][0] == ' ' or lines[0][0] == '\t':
raise CommandError("The first line in the file cannot start with a space or tab.")
# This keeps track of the cu... | python | def parse_lines(self, lines):
"""
Do the work of parsing each line
"""
indent = ''
level = 0
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raise CommandError("The first line in the file cannot start with a space or tab.")
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callowayproject/django-categories | categories/management/commands/import_categories.py | Command.handle | def handle(self, *file_paths, **options):
"""
Handle the basic import
"""
import os
for file_path in file_paths:
if not os.path.isfile(file_path):
print("File %s not found." % file_path)
continue
f = open(file_path, 'r')
... | python | def handle(self, *file_paths, **options):
"""
Handle the basic import
"""
import os
for file_path in file_paths:
if not os.path.isfile(file_path):
print("File %s not found." % file_path)
continue
f = open(file_path, 'r')
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callowayproject/django-categories | categories/templatetags/category_tags.py | get_cat_model | def get_cat_model(model):
"""
Return a class from a string or class
"""
try:
if isinstance(model, string_types):
model_class = apps.get_model(*model.split("."))
elif issubclass(model, CategoryBase):
model_class = model
if model_class is None:
r... | python | def get_cat_model(model):
"""
Return a class from a string or class
"""
try:
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model_class = apps.get_model(*model.split("."))
elif issubclass(model, CategoryBase):
model_class = model
if model_class is None:
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callowayproject/django-categories | categories/templatetags/category_tags.py | get_category | def get_category(category_string, model=Category):
"""
Convert a string, including a path, and return the Category object
"""
model_class = get_cat_model(model)
category = str(category_string).strip("'\"")
category = category.strip('/')
cat_list = category.split('/')
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"""
Convert a string, including a path, and return the Category object
"""
model_class = get_cat_model(model)
category = str(category_string).strip("'\"")
category = category.strip('/')
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callowayproject/django-categories | categories/templatetags/category_tags.py | get_category_drilldown | def get_category_drilldown(parser, token):
"""
Retrieves the specified category, its ancestors and its immediate children
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Syntax::
{% get_category_drilldown "category name" [using "app.Model"] as varname %}
Example::
{% get_category_drilldown "/Grandparent/Parent"... | python | def get_category_drilldown(parser, token):
"""
Retrieves the specified category, its ancestors and its immediate children
as an iterable.
Syntax::
{% get_category_drilldown "category name" [using "app.Model"] as varname %}
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{% get_category_drilldown "/Grandparent/Parent"... | [
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callowayproject/django-categories | categories/templatetags/category_tags.py | get_top_level_categories | def get_top_level_categories(parser, token):
"""
Retrieves an alphabetical list of all the categories that have no parents.
Syntax::
{% get_top_level_categories [using "app.Model"] as categories %}
Returns an list of categories [<category>, <category>, <category, ...]
"""
bits = token... | python | def get_top_level_categories(parser, token):
"""
Retrieves an alphabetical list of all the categories that have no parents.
Syntax::
{% get_top_level_categories [using "app.Model"] as categories %}
Returns an list of categories [<category>, <category>, <category, ...]
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callowayproject/django-categories | categories/templatetags/category_tags.py | tree_queryset | def tree_queryset(value):
"""
Converts a normal queryset from an MPTT model to include all the ancestors
so a filtered subset of items can be formatted correctly
"""
from django.db.models.query import QuerySet
from copy import deepcopy
if not isinstance(value, QuerySet):
return value... | python | def tree_queryset(value):
"""
Converts a normal queryset from an MPTT model to include all the ancestors
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"""
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maweigert/gputools | gputools/convolve/convolve.py | convolve | def convolve(data, h, res_g=None, sub_blocks=None):
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data and h can either be numpy arrays or gpu buffer objects (OCLArray,
which must be float32 then)
boundary conditions are clamping to zero at edge.
"""
if not len(data.shape) in [1, 2, 3]:
... | python | def convolve(data, h, res_g=None, sub_blocks=None):
"""
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maweigert/gputools | gputools/convolve/convolve.py | _convolve3_old | def _convolve3_old(data, h, dev=None):
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maweigert/gputools | gputools/transforms/scale.py | _scale_shape | def _scale_shape(dshape, scale = (1,1,1)):
"""returns the shape after scaling (should be the same as ndimage.zoom"""
nshape = np.round(np.array(dshape) * np.array(scale))
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maweigert/gputools | gputools/fft/fftshift.py | fftshift | def fftshift(arr_obj, axes = None, res_g = None, return_buffer = False):
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arr_obj: numpy array or OCLArray (float32/complex64)
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"""
gpu version of fftshift for numpy arrays or OCLArrays
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arr_obj: numpy array or OCLArray (float32/complex64)
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maweigert/gputools | gputools/fft/fftshift.py | _fftshift_single | def _fftshift_single(d_g, res_g, ax = 0):
"""
basic fftshift of an OCLArray
shape(d_g) = [N_0,N_1...., N, .... N_{k-1, N_k]
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j = 1 .. N
k = 1 .. N1
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"""
basic fftshift of an OCLArray
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maweigert/gputools | gputools/fft/oclfft_convolve.py | fft_convolve | def fft_convolve(data, h, res_g = None,
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kernel_is_fftshifted = False):
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maweigert/gputools | gputools/fft/oclfft_convolve.py | _fft_convolve_numpy | def _fft_convolve_numpy(data, h, plan = None,
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kernel_is_fftshifted = False):
""" convolving via opencl fft for numpy arrays
data and h must have the same size
"""
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kernel_is_fft = False,
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maweigert/gputools | gputools/fft/oclfft_convolve.py | _fft_convolve_gpu | def _fft_convolve_gpu(data_g, h_g, res_g = None,
plan = None, inplace = False,
kernel_is_fft = False):
""" fft convolve for gpu buffer
"""
assert_bufs_type(np.complex64,data_g,h_g)
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plan = None, inplace = False,
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""" fft convolve for gpu buffer
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assert_bufs_type(np.complex64,data_g,h_g)
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maweigert/gputools | gputools/convolve/median_filter.py | median_filter | def median_filter(data, size=3, cval = 0, res_g=None, sub_blocks=None):
"""
median filter of given size
Parameters
----------
data: 2 or 3 dimensional ndarray or OCLArray of type float32
input data
size: scalar, tuple
the size of the patch to consider
cval: scalar,
... | python | def median_filter(data, size=3, cval = 0, res_g=None, sub_blocks=None):
"""
median filter of given size
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----------
data: 2 or 3 dimensional ndarray or OCLArray of type float32
input data
size: scalar, tuple
the size of the patch to consider
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maweigert/gputools | gputools/transforms/transformations.py | rotate | def rotate(data, axis=(1., 0, 0), angle=0., center=None, mode="constant", interpolation="linear"):
"""
rotates data around axis by a given angle
Parameters
----------
data: ndarray
3d array
axis: tuple
axis to rotate by angle about
axis = (x,y,z)
angle: float
cen... | python | def rotate(data, axis=(1., 0, 0), angle=0., center=None, mode="constant", interpolation="linear"):
"""
rotates data around axis by a given angle
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data: ndarray
3d array
axis: tuple
axis to rotate by angle about
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maweigert/gputools | gputools/transforms/transformations.py | map_coordinates | def map_coordinates(data, coordinates, interpolation="linear",
mode='constant'):
"""
Map data to new coordinates by interpolation.
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the corresponding coordinates in the input.
should correspond to scipy.ndima... | python | def map_coordinates(data, coordinates, interpolation="linear",
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maweigert/gputools | gputools/utils/utils.py | pad_to_shape | def pad_to_shape(d, dshape, mode = "constant"):
"""
pad array d to shape dshape
"""
if d.shape == dshape:
return d
diff = np.array(dshape)- np.array(d.shape)
#first shrink
slices = tuple(slice(-x//2,x//2) if x<0 else slice(None,None) for x in diff)
res = d[slices]
#then pad... | python | def pad_to_shape(d, dshape, mode = "constant"):
"""
pad array d to shape dshape
"""
if d.shape == dshape:
return d
diff = np.array(dshape)- np.array(d.shape)
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slices = tuple(slice(-x//2,x//2) if x<0 else slice(None,None) for x in diff)
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maweigert/gputools | gputools/utils/utils.py | pad_to_power2 | def pad_to_power2(data, axis = None, mode="constant"):
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if axis is None:
axis = list(range(data.ndim))
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"""
pad data to a shape of power 2
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"""
if axis is None:
axis = list(range(data.ndim))
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maweigert/gputools | gputools/convolve/generic_separable_filters.py | max_filter | def max_filter(data, size=7, res_g=None, sub_blocks=(1, 1, 1)):
"""
maximum filter of given size
Parameters
----------
data: 2 or 3 dimensional ndarray or OCLArray of type float32
input data
size: scalar, tuple
the size of the patch to consider
res_g: OCLArray
st... | python | def max_filter(data, size=7, res_g=None, sub_blocks=(1, 1, 1)):
"""
maximum filter of given size
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----------
data: 2 or 3 dimensional ndarray or OCLArray of type float32
input data
size: scalar, tuple
the size of the patch to consider
res_g: OCLArray
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maweigert/gputools | gputools/convolve/generic_separable_filters.py | min_filter | def min_filter(data, size=7, res_g=None, sub_blocks=(1, 1, 1)):
"""
minimum filter of given size
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data: 2 or 3 dimensional ndarray or OCLArray of type float32
input data
size: scalar, tuple
the size of the patch to consider
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"""
minimum filter of given size
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data: 2 or 3 dimensional ndarray or OCLArray of type float32
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size: scalar, tuple
the size of the patch to consider
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maweigert/gputools | gputools/convolve/generic_separable_filters.py | uniform_filter | def uniform_filter(data, size=7, res_g=None, sub_blocks=(1, 1, 1), normalized = True):
"""
mean filter of given size
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----------
data: 2 or 3 dimensional ndarray or OCLArray of type float32
input data
size: scalar, tuple
the size of the patch to consider
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mean filter of given size
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data: 2 or 3 dimensional ndarray or OCLArray of type float32
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the size of the patch to consider
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maweigert/gputools | gputools/convolve/generic_separable_filters.py | _gauss_filter | def _gauss_filter(data, sigma=4, res_g=None, sub_blocks=(1, 1, 1)):
"""
gaussian filter of given size
Parameters
----------
data: 2 or 3 dimensional ndarray or OCLArray of type float32
input data
size: scalar, tuple
the size of the patch to consider
res_g: OCLArray
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"""
gaussian filter of given size
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data: 2 or 3 dimensional ndarray or OCLArray of type float32
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size: scalar, tuple
the size of the patch to consider
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maweigert/gputools | gputools/separable/separable_approx.py | _separable_series2 | def _separable_series2(h, N=1):
""" finds separable approximations to the 2d function 2d h
returns res = (hx, hy)[N]
s.t. h \approx sum_i outer(res[i,0],res[i,1])
"""
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raise ValueError("smallest dimension of h is smaller than approximation order! (%s < %s)"%(min(h.shape),N... | python | def _separable_series2(h, N=1):
""" finds separable approximations to the 2d function 2d h
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s.t. h \approx sum_i outer(res[i,0],res[i,1])
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maweigert/gputools | gputools/separable/separable_approx.py | _separable_approx2 | def _separable_approx2(h, N=1):
""" returns the N first approximations to the 2d function h
whose sum should be h
"""
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""" returns the N first approximations to the 3d function h
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----------
h: ndarray
input array (2 or 2 dimensional)
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order of approximation
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-------
all N apprxoimations res[i],... | python | def separable_approx(h, N=1):
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h: ndarray
input array (2 or 2 dimensional)
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order of approximation
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alculquicondor/psqlparse | psqlparse/nodes/nodes.py | Node.tables | def tables(self):
"""
Generic method that does a depth-first search on the node attributes.
Child classes should override this method for better performance.
"""
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for attr in six.itervalues(self.__dict__):
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... | python | def tables(self):
"""
Generic method that does a depth-first search on the node attributes.
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sloria/konch | docopt.py | Pattern.fix_identities | def fix_identities(self, uniq=None):
"""Make pattern-tree tips point to same object if they are equal."""
if not hasattr(self, 'children'):
return self
uniq = list(set(self.flat())) if uniq is None else uniq
for i, child in enumerate(self.children):
if not hasattr... | python | def fix_identities(self, uniq=None):
"""Make pattern-tree tips point to same object if they are equal."""
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uniq = list(set(self.flat())) if uniq is None else uniq
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sloria/konch | setup.py | find_version | def find_version(fname):
"""Attempts to find the version number in the file names fname.
Raises RuntimeError if not found.
"""
version = ""
with open(fname, "r") as fp:
reg = re.compile(r'__version__ = [\'"]([^\'"]*)[\'"]')
for line in fp:
m = reg.match(line)
... | python | def find_version(fname):
"""Attempts to find the version number in the file names fname.
Raises RuntimeError if not found.
"""
version = ""
with open(fname, "r") as fp:
reg = re.compile(r'__version__ = [\'"]([^\'"]*)[\'"]')
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m = reg.match(line)
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sloria/konch | konch.py | format_context | def format_context(
context: Context, formatter: typing.Union[str, Formatter] = "full"
) -> str:
"""Output the a context dictionary as a string."""
if not context:
return ""
if callable(formatter):
formatter_func = formatter
else:
if formatter in CONTEXT_FORMATTERS:
... | python | def format_context(
context: Context, formatter: typing.Union[str, Formatter] = "full"
) -> str:
"""Output the a context dictionary as a string."""
if not context:
return ""
if callable(formatter):
formatter_func = formatter
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if formatter in CONTEXT_FORMATTERS:
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sloria/konch | konch.py | make_banner | def make_banner(
text: typing.Optional[str] = None,
context: typing.Optional[Context] = None,
banner_template: typing.Optional[str] = None,
context_format: ContextFormat = "full",
) -> str:
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text: typing.Optional[str] = None,
context: typing.Optional[Context] = None,
banner_template: typing.Optional[str] = None,
context_format: ContextFormat = "full",
) -> str:
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sloria/konch | konch.py | config | def config(config_dict: typing.Mapping) -> Config:
"""Configures the konch shell. This function should be called in a
.konchrc file.
:param dict config_dict: Dict that may contain 'context', 'banner', and/or
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"""
logger.debug(f"Updating with {config_dict... | python | def config(config_dict: typing.Mapping) -> Config:
"""Configures the konch shell. This function should be called in a
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:param dict config_dict: Dict that may contain 'context', 'banner', and/or
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sloria/konch | konch.py | named_config | def named_config(name: str, config_dict: typing.Mapping) -> None:
"""Adds a named config to the config registry. The first argument
may either be a string or a collection of strings.
This function should be called in a .konchrc file.
"""
names = (
name
if isinstance(name, Iterable) ... | python | def named_config(name: str, config_dict: typing.Mapping) -> None:
"""Adds a named config to the config registry. The first argument
may either be a string or a collection of strings.
This function should be called in a .konchrc file.
"""
names = (
name
if isinstance(name, Iterable) ... | [
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sloria/konch | konch.py | __ensure_directory_in_path | def __ensure_directory_in_path(filename: Path) -> None:
"""Ensures that a file's directory is in the Python path.
"""
directory = Path(filename).parent.resolve()
if directory not in sys.path:
logger.debug(f"Adding {directory} to sys.path")
sys.path.insert(0, str(directory)) | python | def __ensure_directory_in_path(filename: Path) -> None:
"""Ensures that a file's directory is in the Python path.
"""
directory = Path(filename).parent.resolve()
if directory not in sys.path:
logger.debug(f"Adding {directory} to sys.path")
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sloria/konch | konch.py | use_file | def use_file(
filename: typing.Union[Path, str, None], trust: bool = False
) -> typing.Union[types.ModuleType, None]:
"""Load filename as a python file. Import ``filename`` and return it
as a module.
"""
config_file = filename or resolve_path(CONFIG_FILE)
def preview_unauthorized() -> None:
... | python | def use_file(
filename: typing.Union[Path, str, None], trust: bool = False
) -> typing.Union[types.ModuleType, None]:
"""Load filename as a python file. Import ``filename`` and return it
as a module.
"""
config_file = filename or resolve_path(CONFIG_FILE)
def preview_unauthorized() -> None:
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sloria/konch | konch.py | resolve_path | def resolve_path(filename: Path) -> typing.Union[Path, None]:
"""Find a file by walking up parent directories until the file is found.
Return the absolute path of the file.
"""
current = Path.cwd()
# Stop search at home directory
sentinel_dir = Path.home().parent.resolve()
while current != s... | python | def resolve_path(filename: Path) -> typing.Union[Path, None]:
"""Find a file by walking up parent directories until the file is found.
Return the absolute path of the file.
"""
current = Path.cwd()
# Stop search at home directory
sentinel_dir = Path.home().parent.resolve()
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sloria/konch | konch.py | parse_args | def parse_args(argv: typing.Optional[typing.Sequence] = None) -> typing.Dict[str, str]:
"""Exposes the docopt command-line arguments parser.
Return a dictionary of arguments.
"""
return docopt(__doc__, argv=argv, version=__version__) | python | def parse_args(argv: typing.Optional[typing.Sequence] = None) -> typing.Dict[str, str]:
"""Exposes the docopt command-line arguments parser.
Return a dictionary of arguments.
"""
return docopt(__doc__, argv=argv, version=__version__) | [
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sloria/konch | konch.py | main | def main(argv: typing.Optional[typing.Sequence] = None) -> typing.NoReturn:
"""Main entry point for the konch CLI."""
args = parse_args(argv)
if args["--debug"]:
logging.basicConfig(
format="%(levelname)s %(filename)s: %(message)s", level=logging.DEBUG
)
logger.debug(args)
... | python | def main(argv: typing.Optional[typing.Sequence] = None) -> typing.NoReturn:
"""Main entry point for the konch CLI."""
args = parse_args(argv)
if args["--debug"]:
logging.basicConfig(
format="%(levelname)s %(filename)s: %(message)s", level=logging.DEBUG
)
logger.debug(args)
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sloria/konch | konch.py | IPythonShell.init_autoreload | def init_autoreload(mode: int) -> None:
"""Load and initialize the IPython autoreload extension."""
from IPython.extensions import autoreload
ip = get_ipython() # type: ignore # noqa: F821
autoreload.load_ipython_extension(ip)
ip.magics_manager.magics["line"]["autoreload"](str(... | python | def init_autoreload(mode: int) -> None:
"""Load and initialize the IPython autoreload extension."""
from IPython.extensions import autoreload
ip = get_ipython() # type: ignore # noqa: F821
autoreload.load_ipython_extension(ip)
ip.magics_manager.magics["line"]["autoreload"](str(... | [
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JamesPHoughton/pysd | pysd/py_backend/vensim/table2py.py | read_tabular | def read_tabular(table_file, sheetname='Sheet1'):
"""
Reads a vensim syntax model which has been formatted as a table.
This is useful in contexts where model building is performed
without the aid of Vensim.
Parameters
----------
table_file: .csv, .tab or .xls(x) file
Table should have... | python | def read_tabular(table_file, sheetname='Sheet1'):
"""
Reads a vensim syntax model which has been formatted as a table.
This is useful in contexts where model building is performed
without the aid of Vensim.
Parameters
----------
table_file: .csv, .tab or .xls(x) file
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JamesPHoughton/pysd | pysd/pysd.py | read_xmile | def read_xmile(xmile_file):
""" Construct a model object from `.xmile` file. """
from . import py_backend
from .py_backend.xmile.xmile2py import translate_xmile
py_model_file = translate_xmile(xmile_file)
model = load(py_model_file)
model.xmile_file = xmile_file
return model | python | def read_xmile(xmile_file):
""" Construct a model object from `.xmile` file. """
from . import py_backend
from .py_backend.xmile.xmile2py import translate_xmile
py_model_file = translate_xmile(xmile_file)
model = load(py_model_file)
model.xmile_file = xmile_file
return model | [
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JamesPHoughton/pysd | pysd/pysd.py | read_vensim | def read_vensim(mdl_file):
"""
Construct a model from Vensim `.mdl` file.
Parameters
----------
mdl_file : <string>
The relative path filename for a raw Vensim `.mdl` file
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-------
model: a PySD class object
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"""
Construct a model from Vensim `.mdl` file.
Parameters
----------
mdl_file : <string>
The relative path filename for a raw Vensim `.mdl` file
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JamesPHoughton/pysd | pysd/py_backend/functions.py | cache | def cache(horizon):
"""
Put a wrapper around a model function
Decorators with parameters are tricky, you have to
essentially create a decorator that returns a decorator,
which itself then returns the function wrapper.
Parameters
----------
horizon: string
- 'step' means cache j... | python | def cache(horizon):
"""
Put a wrapper around a model function
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horizon: string
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JamesPHoughton/pysd | pysd/py_backend/functions.py | ramp | def ramp(time, slope, start, finish=0):
"""
Implements vensim's and xmile's RAMP function
Parameters
----------
time: function
The current time of modelling
slope: float
The slope of the ramp starting at zero at time start
start: float
Time at which the ramp begins
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"""
Implements vensim's and xmile's RAMP function
Parameters
----------
time: function
The current time of modelling
slope: float
The slope of the ramp starting at zero at time start
start: float
Time at which the ramp begins
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JamesPHoughton/pysd | pysd/py_backend/functions.py | pulse | def pulse(time, start, duration):
""" Implements vensim's PULSE function
In range [-inf, start) returns 0
In range [start, start + duration) returns 1
In range [start + duration, +inf] returns 0
"""
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return 1 if start <= t < start + duration else 0 | python | def pulse(time, start, duration):
""" Implements vensim's PULSE function
In range [-inf, start) returns 0
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"""
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JamesPHoughton/pysd | pysd/py_backend/functions.py | pulse_train | def pulse_train(time, start, duration, repeat_time, end):
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JamesPHoughton/pysd | pysd/py_backend/functions.py | lookup_extrapolation | def lookup_extrapolation(x, xs, ys):
"""
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Out-of-range values are calculated with linear extrapolation from the last two values at either end.
"""
length = len(xs)
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dx = xs[1] - xs[0... | python | def lookup_extrapolation(x, xs, ys):
"""
Intermediate values are calculated with linear interpolation between the intermediate points.
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JamesPHoughton/pysd | pysd/py_backend/functions.py | xidz | def xidz(numerator, denominator, value_if_denom_is_zero):
"""
Implements Vensim's XIDZ function.
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numerator: float
denominator: floa... | python | def xidz(numerator, denominator, value_if_denom_is_zero):
"""
Implements Vensim's XIDZ function.
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In the case of zero denominator, the final argument is returned.
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numerator: float
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JamesPHoughton/pysd | pysd/py_backend/functions.py | Macro.initialize | def initialize(self, initialization_order=None):
"""
This function tries to initialize the stateful objects.
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"""
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JamesPHoughton/pysd | pysd/py_backend/functions.py | Macro.set_components | def set_components(self, params):
""" Set the value of exogenous model elements.
Element values can be passed as keyword=value pairs in the function call.
Values can be numeric type or pandas Series.
Series will be interpolated by integrator.
Examples
--------
>... | python | def set_components(self, params):
""" Set the value of exogenous model elements.
Element values can be passed as keyword=value pairs in the function call.
Values can be numeric type or pandas Series.
Series will be interpolated by integrator.
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# Todo: raise a warning if extrapolating from the end of the series.
return lambda: np.interp(self.tim... | python | def _timeseries_component(self, series):
""" Internal function for creating a timeseries model element """
# this is only called if the set_component function recognizes a pandas series
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JamesPHoughton/pysd | pysd/py_backend/functions.py | Macro.set_state | def set_state(self, t, state):
""" Set the system state.
Parameters
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t : numeric
The system time
state : dict
A (possibly partial) dictionary of the system state.
The keys to this dictionary may be either pysafe names or original mo... | python | def set_state(self, t, state):
""" Set the system state.
Parameters
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t : numeric
The system time
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JamesPHoughton/pysd | pysd/py_backend/functions.py | Macro.clear_caches | def clear_caches(self):
""" Clears the Caches for all model elements """
for element_name in dir(self.components):
element = getattr(self.components, element_name)
if hasattr(element, 'cache_val'):
delattr(element, 'cache_val') | python | def clear_caches(self):
""" Clears the Caches for all model elements """
for element_name in dir(self.components):
element = getattr(self.components, element_name)
if hasattr(element, 'cache_val'):
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JamesPHoughton/pysd | pysd/py_backend/functions.py | Macro.doc | def doc(self):
"""
Formats a table of documentation strings to help users remember variable names, and
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Returns
-------
docs_df: pandas dataframe
Dataframe with columns for the model components:
... | python | def doc(self):
"""
Formats a table of documentation strings to help users remember variable names, and
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docs_df: pandas dataframe
Dataframe with columns for the model components:
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JamesPHoughton/pysd | pysd/py_backend/functions.py | Model.initialize | def initialize(self):
""" Initializes the simulation model """
self.time.update(self.components.initial_time())
self.time.stage = 'Initialization'
super(Model, self).initialize() | python | def initialize(self):
""" Initializes the simulation model """
self.time.update(self.components.initial_time())
self.time.stage = 'Initialization'
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JamesPHoughton/pysd | pysd/py_backend/functions.py | Model._format_return_timestamps | def _format_return_timestamps(self, return_timestamps=None):
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Format the passed in return timestamps value as a numpy array.
If no value is passed, build up array of timestamps based upon
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"""
if return_timestamps is N... | python | def _format_return_timestamps(self, return_timestamps=None):
"""
Format the passed in return timestamps value as a numpy array.
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JamesPHoughton/pysd | pysd/py_backend/functions.py | Model.run | def run(self, params=None, return_columns=None, return_timestamps=None,
initial_condition='original', reload=False):
""" Simulate the model's behavior over time.
Return a pandas dataframe with timestamps as rows,
model elements as columns.
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----------
... | python | def run(self, params=None, return_columns=None, return_timestamps=None,
initial_condition='original', reload=False):
""" Simulate the model's behavior over time.
Return a pandas dataframe with timestamps as rows,
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JamesPHoughton/pysd | pysd/py_backend/functions.py | Model._default_return_columns | def _default_return_columns(self):
"""
Return a list of the model elements that does not include lookup functions
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"""
return_columns = []
parsed_expr = []
for key, value in self.components._namespace.items():
i... | python | def _default_return_columns(self):
"""
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JamesPHoughton/pysd | pysd/py_backend/functions.py | Model.set_initial_condition | def set_initial_condition(self, initial_condition):
""" Set the initial conditions of the integration.
Parameters
----------
initial_condition : <string> or <tuple>
Takes on one of the following sets of values:
* 'original'/'o' : Reset to the model-file specifie... | python | def set_initial_condition(self, initial_condition):
""" Set the initial conditions of the integration.
Parameters
----------
initial_condition : <string> or <tuple>
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JamesPHoughton/pysd | pysd/py_backend/functions.py | Model._euler_step | def _euler_step(self, dt):
""" Performs a single step in the euler integration,
updating stateful components
Parameters
----------
dt : float
This is the amount to increase time by this step
"""
self.state = self.state + self.ddt() * dt | python | def _euler_step(self, dt):
""" Performs a single step in the euler integration,
updating stateful components
Parameters
----------
dt : float
This is the amount to increase time by this step
"""
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JamesPHoughton/pysd | pysd/py_backend/functions.py | Model._integrate | def _integrate(self, time_steps, capture_elements, return_timestamps):
"""
Performs euler integration
Parameters
----------
time_steps: iterable
the time steps that the integrator progresses over
capture_elements: list
which model elements to capt... | python | def _integrate(self, time_steps, capture_elements, return_timestamps):
"""
Performs euler integration
Parameters
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time_steps: iterable
the time steps that the integrator progresses over
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JamesPHoughton/pysd | pysd/py_backend/builder.py | merge_partial_elements | def merge_partial_elements(element_list):
"""
merges model elements which collectively all define the model component,
mostly for multidimensional subscripts
Parameters
----------
element_list
Returns
-------
"""
outs = dict() # output data structure
for element in element... | python | def merge_partial_elements(element_list):
"""
merges model elements which collectively all define the model component,
mostly for multidimensional subscripts
Parameters
----------
element_list
Returns
-------
"""
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JamesPHoughton/pysd | pysd/py_backend/builder.py | add_n_delay | def add_n_delay(delay_input, delay_time, initial_value, order, subs, subscript_dict):
"""
Creates code to instantiate a stateful 'Delay' object,
and provides reference to that object's output.
The name of the stateful object is based upon the passed in parameters, so if
there are multiple places wh... | python | def add_n_delay(delay_input, delay_time, initial_value, order, subs, subscript_dict):
"""
Creates code to instantiate a stateful 'Delay' object,
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JamesPHoughton/pysd | pysd/py_backend/builder.py | add_n_smooth | def add_n_smooth(smooth_input, smooth_time, initial_value, order, subs, subscript_dict):
"""Constructs stock and flow chains that implement the calculation of
a smoothing function.
Parameters
----------
smooth_input: <string>
Reference to the model component that is the ... | python | def add_n_smooth(smooth_input, smooth_time, initial_value, order, subs, subscript_dict):
"""Constructs stock and flow chains that implement the calculation of
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Parameters
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smooth_input: <string>
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JamesPHoughton/pysd | pysd/py_backend/builder.py | add_initial | def add_initial(initial_input):
"""
Constructs a stateful object for handling vensim's 'Initial' functionality
Parameters
----------
initial_input: basestring
The expression which will be evaluated, and the first value of which returned
Returns
-------
reference: basestring
... | python | def add_initial(initial_input):
"""
Constructs a stateful object for handling vensim's 'Initial' functionality
Parameters
----------
initial_input: basestring
The expression which will be evaluated, and the first value of which returned
Returns
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reference: basestring
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JamesPHoughton/pysd | pysd/py_backend/builder.py | add_macro | def add_macro(macro_name, filename, arg_names, arg_vals):
"""
Constructs a stateful object instantiating a 'Macro'
Parameters
----------
macro_name: basestring
python safe name for macro
filename: basestring
filepath to macro definition
func_args: dict
dictionary of ... | python | def add_macro(macro_name, filename, arg_names, arg_vals):
"""
Constructs a stateful object instantiating a 'Macro'
Parameters
----------
macro_name: basestring
python safe name for macro
filename: basestring
filepath to macro definition
func_args: dict
dictionary of ... | [
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JamesPHoughton/pysd | pysd/py_backend/builder.py | add_incomplete | def add_incomplete(var_name, dependencies):
"""
Incomplete functions don't really need to be 'builders' as they
add no new real structure, but it's helpful to have a function
in which we can raise a warning about the incomplete equation
at translate time.
"""
warnings.warn('%s has no equa... | python | def add_incomplete(var_name, dependencies):
"""
Incomplete functions don't really need to be 'builders' as they
add no new real structure, but it's helpful to have a function
in which we can raise a warning about the incomplete equation
at translate time.
"""
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JamesPHoughton/pysd | pysd/py_backend/vensim/vensim2py.py | get_model_elements | def get_model_elements(model_str):
"""
Takes in a string representing model text and splits it into elements
I think we're making the assumption that all newline characters are removed...
Parameters
----------
model_str : string
Returns
-------
entries : array of dictionaries
... | python | def get_model_elements(model_str):
"""
Takes in a string representing model text and splits it into elements
I think we're making the assumption that all newline characters are removed...
Parameters
----------
model_str : string
Returns
-------
entries : array of dictionaries
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JamesPHoughton/pysd | pysd/py_backend/vensim/vensim2py.py | get_equation_components | def get_equation_components(equation_str):
"""
Breaks down a string representing only the equation part of a model element.
Recognizes the various types of model elements that may exist, and identifies them.
Parameters
----------
equation_str : basestring
the first section in each model... | python | def get_equation_components(equation_str):
"""
Breaks down a string representing only the equation part of a model element.
Recognizes the various types of model elements that may exist, and identifies them.
Parameters
----------
equation_str : basestring
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JamesPHoughton/pysd | pysd/py_backend/vensim/vensim2py.py | parse_units | def parse_units(units_str):
"""
Extract and parse the units
Extract the bounds over which the expression is assumed to apply.
Parameters
----------
units_str
Returns
-------
Examples
--------
>>> parse_units('Widgets/Month [-10,10,1]')
('Widgets/Month', (-10,10,1))
... | python | def parse_units(units_str):
"""
Extract and parse the units
Extract the bounds over which the expression is assumed to apply.
Parameters
----------
units_str
Returns
-------
Examples
--------
>>> parse_units('Widgets/Month [-10,10,1]')
('Widgets/Month', (-10,10,1))
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JamesPHoughton/pysd | pysd/py_backend/vensim/vensim2py.py | parse_lookup_expression | def parse_lookup_expression(element):
""" This syntax parses lookups that are defined with their own element """
lookup_grammar = r"""
lookup = _ "(" range? _ ( "(" _ number _ "," _ number _ ")" _ ","? _ )+ ")"
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_ = ~r"[\s\\]*" # whitespace character
ra... | python | def parse_lookup_expression(element):
""" This syntax parses lookups that are defined with their own element """
lookup_grammar = r"""
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JamesPHoughton/pysd | pysd/py_backend/utils.py | dict_find | def dict_find(in_dict, value):
""" Helper function for looking up directory keys by their values.
This isn't robust to repeated values
Parameters
----------
in_dict : dictionary
A dictionary containing `value`
value : any type
What we wish to find in the dictionary
Return... | python | def dict_find(in_dict, value):
""" Helper function for looking up directory keys by their values.
This isn't robust to repeated values
Parameters
----------
in_dict : dictionary
A dictionary containing `value`
value : any type
What we wish to find in the dictionary
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JamesPHoughton/pysd | pysd/py_backend/utils.py | find_subscript_name | def find_subscript_name(subscript_dict, element):
"""
Given a subscript dictionary, and a member of a subscript family,
return the first key of which the member is within the value list.
If element is already a subscript name, return that
Parameters
----------
subscript_dict: dictionary
... | python | def find_subscript_name(subscript_dict, element):
"""
Given a subscript dictionary, and a member of a subscript family,
return the first key of which the member is within the value list.
If element is already a subscript name, return that
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subscript_dict: dictionary
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JamesPHoughton/pysd | pysd/py_backend/utils.py | make_coord_dict | def make_coord_dict(subs, subscript_dict, terse=True):
"""
This is for assisting with the lookup of a particular element, such that the output
of this function would take the place of %s in this expression
`variable.loc[%s]`
Parameters
----------
subs: list of strings
coordinates, ... | python | def make_coord_dict(subs, subscript_dict, terse=True):
"""
This is for assisting with the lookup of a particular element, such that the output
of this function would take the place of %s in this expression
`variable.loc[%s]`
Parameters
----------
subs: list of strings
coordinates, ... | [
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JamesPHoughton/pysd | pysd/py_backend/utils.py | make_python_identifier | def make_python_identifier(string, namespace=None, reserved_words=None,
convert='drop', handle='force'):
"""
Takes an arbitrary string and creates a valid Python identifier.
If the input string is in the namespace, return its value.
If the python identifier created is alread... | python | def make_python_identifier(string, namespace=None, reserved_words=None,
convert='drop', handle='force'):
"""
Takes an arbitrary string and creates a valid Python identifier.
If the input string is in the namespace, return its value.
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JamesPHoughton/pysd | pysd/py_backend/utils.py | make_flat_df | def make_flat_df(frames, return_addresses):
"""
Takes a list of dictionaries, each representing what is returned from the
model at a particular time, and creates a dataframe whose columns correspond
to the keys of `return addresses`
Parameters
----------
frames: list of dictionaries
... | python | def make_flat_df(frames, return_addresses):
"""
Takes a list of dictionaries, each representing what is returned from the
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to the keys of `return addresses`
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JamesPHoughton/pysd | pysd/py_backend/utils.py | visit_addresses | def visit_addresses(frame, return_addresses):
"""
Visits all of the addresses, returns a new dict
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----------
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return_addresses: a dictionary,
keys will be column names of the resulting dataframe, and are what the
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"""
Visits all of the addresses, returns a new dict
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hirokiky/django-basicauth | basicauth/basicauthutils.py | validate_request | def validate_request(request):
"""Check an incoming request.
Returns:
- True if authentication passed
- Adding request['REMOTE_USER'] as authenticated username.
"""
if getattr(settings, 'BASICAUTH_DISABLE', False):
# Not to use this env
return True
if 'HTTP_AUTHORIZ... | python | def validate_request(request):
"""Check an incoming request.
Returns:
- True if authentication passed
- Adding request['REMOTE_USER'] as authenticated username.
"""
if getattr(settings, 'BASICAUTH_DISABLE', False):
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google/ipaddr-py | ipaddr.py | _find_address_range | def _find_address_range(addresses):
"""Find a sequence of addresses.
Args:
addresses: a list of IPv4 or IPv6 addresses.
Returns:
A tuple containing the first and last IP addresses in the sequence,
and the index of the last IP address in the sequence.
"""
first = last = add... | python | def _find_address_range(addresses):
"""Find a sequence of addresses.
Args:
addresses: a list of IPv4 or IPv6 addresses.
Returns:
A tuple containing the first and last IP addresses in the sequence,
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google/ipaddr-py | ipaddr.py | _BaseNet._prefix_from_prefix_int | def _prefix_from_prefix_int(self, prefixlen):
"""Validate and return a prefix length integer.
Args:
prefixlen: An integer containing the prefix length.
Returns:
The input, possibly converted from long to int.
Raises:
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raimon49/pip-licenses | piplicenses.py | output_colored | def output_colored(code, text, is_bold=False):
"""
Create function to output with color sequence
"""
if is_bold:
code = '1;%s' % code
return '\033[%sm%s\033[0m' % (code, text) | python | def output_colored(code, text, is_bold=False):
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Create function to output with color sequence
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code = '1;%s' % code
return '\033[%sm%s\033[0m' % (code, text) | [
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nickjj/flask-webpack | flask_webpack/__init__.py | Webpack._set_asset_paths | def _set_asset_paths(self, app):
"""
Read in the manifest json file which acts as a manifest for assets.
This allows us to get the asset path as well as hashed names.
:param app: Flask application
:return: None
"""
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Read in the manifest json file which acts as a manifest for assets.
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nickjj/flask-webpack | flask_webpack/__init__.py | Webpack.javascript_tag | def javascript_tag(self, *args):
"""
Convenience tag to output 1 or more javascript tags.
:param args: 1 or more javascript file names
:return: Script tag(s) containing the asset
"""
tags = []
for arg in args:
asset_path = self.asset_url_for('{0}.js'... | python | def javascript_tag(self, *args):
"""
Convenience tag to output 1 or more javascript tags.
:param args: 1 or more javascript file names
:return: Script tag(s) containing the asset
"""
tags = []
for arg in args:
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nickjj/flask-webpack | flask_webpack/__init__.py | Webpack.asset_url_for | def asset_url_for(self, asset):
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:type asset: str
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Lookup the hashed asset path of a file name unless it starts with
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hishnash/djangochannelsrestframework | djangochannelsrestframework/observer/observer.py | ModelObserver.pre_change_receiver | def pre_change_receiver(self, instance: Model, action: Action):
"""
Entry point for triggering the old_binding from save signals.
"""
if action == Action.CREATE:
group_names = set()
else:
group_names = set(self.group_names(instance))
# use a threa... | python | def pre_change_receiver(self, instance: Model, action: Action):
"""
Entry point for triggering the old_binding from save signals.
"""
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group_names = set()
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group_names = set(self.group_names(instance))
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hishnash/djangochannelsrestframework | djangochannelsrestframework/observer/observer.py | ModelObserver.post_change_receiver | def post_change_receiver(self, instance: Model, action: Action, **kwargs):
"""
Triggers the old_binding to possibly send to its group.
"""
try:
old_group_names = instance.__instance_groups.observers[self]
except (ValueError, KeyError):
old_group_names = se... | python | def post_change_receiver(self, instance: Model, action: Action, **kwargs):
"""
Triggers the old_binding to possibly send to its group.
"""
try:
old_group_names = instance.__instance_groups.observers[self]
except (ValueError, KeyError):
old_group_names = se... | [
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hishnash/djangochannelsrestframework | djangochannelsrestframework/generics.py | GenericAsyncAPIConsumer.get_queryset | def get_queryset(self, **kwargs) -> QuerySet:
"""
Get the list of items for this view.
This must be an iterable, and may be a queryset.
Defaults to using `self.queryset`.
This method should always be used rather than accessing `self.queryset`
directly, as `self.queryset`... | python | def get_queryset(self, **kwargs) -> QuerySet:
"""
Get the list of items for this view.
This must be an iterable, and may be a queryset.
Defaults to using `self.queryset`.
This method should always be used rather than accessing `self.queryset`
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hishnash/djangochannelsrestframework | djangochannelsrestframework/generics.py | GenericAsyncAPIConsumer.get_serializer_class | def get_serializer_class(self, **kwargs) -> Type[Serializer]:
"""
Return the class to use for the serializer.
Defaults to using `self.serializer_class`.
You may want to override this if you need to provide different
serializations depending on the incoming request.
(Eg.... | python | def get_serializer_class(self, **kwargs) -> Type[Serializer]:
"""
Return the class to use for the serializer.
Defaults to using `self.serializer_class`.
You may want to override this if you need to provide different
serializations depending on the incoming request.
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hishnash/djangochannelsrestframework | djangochannelsrestframework/consumers.py | view_as_consumer | def view_as_consumer(
wrapped_view: typing.Callable[[HttpRequest], HttpResponse],
mapped_actions: typing.Optional[
typing.Dict[str, str]
]=None) -> Type[AsyncConsumer]:
"""
Wrap a django View so that it will be triggered by actions over this json
websocket consumer.
... | python | def view_as_consumer(
wrapped_view: typing.Callable[[HttpRequest], HttpResponse],
mapped_actions: typing.Optional[
typing.Dict[str, str]
]=None) -> Type[AsyncConsumer]:
"""
Wrap a django View so that it will be triggered by actions over this json
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