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/oommftools-2.0.2.tar.gz/oommftools-2.0.2/oommftools/odtchomp.py | import os
from wx import adv
import wx
import numpy as np
from fnameutil import filterOnExtensions
import _about as about
#########
# About #
#########
VERSION = about.__version__
NAME = "ODTChomp"
LICENSE = about.__license__
COPYRIGHT = about.__copyright__
WEBSITE = about.__uri__
DESCRIPTION = """ODTChomp is an OOMMF postprocessing tool for
extracting columns from and unifying delimitation
of ODT table files.
\nODTChomp is part of OOMMFTools."""
########
# DECS #
########
#Readability magic below
ALWAYS_CLEAR = ["Oxs_"]
PROTECTED_NAMES = ["Exchange"]
#######
# GUI #
#######
class MainFrame(wx.Frame):
"""Main frame for odtchomp
"""
def __init__(self, manager=None):
wx.Frame.__init__(self, None, -1, "ODT Chomper 0.9", size=(900, 500))
self.watching = []
self.delim = " "
#Let's try to get a proto-digest from a file to memorize the ODT layout
if os.path.exists("." + os.path.sep + "odt.layout"):
f = open("." + os.path.sep + "odt.layout")
lines = f.readlines()
f.close()
lines = [line.strip() for line in lines]
self.digest = Interpreter({}, keys=lines)
else:
#No file at all!
self.digest = None
self.exportPath = os.getcwd()
self.dt = ODTDropTarget(self)
self.SetDropTarget(self.dt)
self.manager = manager
self.Bind(wx.EVT_CLOSE, self.onClose)
#A very simple menubar
menubar = wx.MenuBar()
about = wx.Menu()
about.Append(999, 'About', 'Program information and license')
menubar.Append(about, "About")
self.SetMenuBar(menubar)
self.Bind(wx.EVT_MENU, self.showAbout, id=999)
panel = wx.Panel(self, -1)
self.panel = panel #OK, I do need a reference to this to send size events later
#Point Zero: Major Box Sizer
sizer = wx.BoxSizer(wx.VERTICAL)
#Deal with import button
self.importButton = wx.Button(panel, 1, "Import")
sizer.Add(self.importButton, 0, wx.ALIGN_CENTER | wx.TOP | wx.BOTTOM, 10)
self.Bind(wx.EVT_BUTTON, self.importFile, id=1)
#Deal with active label
self.fileLabel = wx.StaticText(panel, -1, "No File Loaded", style=wx.ALIGN_CENTER)
sizer.Add(self.fileLabel, 0, wx.ALIGN_CENTER | wx.BOTTOM, 10)
sizer.Add(wx.StaticLine(panel, -1), 0, wx.EXPAND | wx.BOTTOM, 15)
#Listboxes! Prepare horizontal sizer
tsizer = wx.BoxSizer()
#Do left listbox
llbsizer = wx.BoxSizer(wx.VERTICAL)
lefttitle = wx.StaticText(panel, -1, "Available Data Fields", style=wx.ALIGN_CENTER)
self.leftbox = wx.ListBox(panel, 10, choices=[], style=wx.LB_SINGLE)
llbsizer.Add(lefttitle, 0, wx.ALIGN_CENTER)
llbsizer.Add(self.leftbox, 1, wx.ALIGN_CENTER | wx.EXPAND | wx.TOP, 10)
tsizer.Add(llbsizer, 1, wx.ALIGN_CENTER | wx.EXPAND | wx.LEFT | wx.RIGHT, 10)
self.leftbox.Bind(wx.EVT_LEFT_DCLICK, self.takeData)
midbsizer = wx.BoxSizer(wx.VERTICAL)
#Add/Remove Buttons
a = wx.Button(panel, 20, "-->")
self.Bind(wx.EVT_BUTTON, self.takeData, id=20)
b = wx.Button(panel, 21, "<--")
self.Bind(wx.EVT_BUTTON, self.puntData, id=21)
c = wx.Button(panel, 22, "+All")
self.Bind(wx.EVT_BUTTON, self.takeAll, id=22)
d = wx.Button(panel, 23, "-All")
self.Bind(wx.EVT_BUTTON, self.puntAll, id=23)
midbsizer.Add(a, 0, wx.LEFT | wx.RIGHT | wx.BOTTOM, 10)
midbsizer.Add(b, 0, wx.LEFT | wx.RIGHT | wx.BOTTOM, 10)
midbsizer.Add(c, 0, wx.LEFT | wx.RIGHT | wx.BOTTOM, 10)
midbsizer.Add(d, 0, wx.LEFT | wx.RIGHT | wx.BOTTOM, 10)
#Radio Controls
label = wx.StaticText(panel, -1, "File Delimiter")
self.spaceDelim = wx.RadioButton(panel, 30, "Space", style=wx.RB_GROUP)
self.tabDelim = wx.RadioButton(panel, 31, "Tab")
self.commaDelim = wx.RadioButton(panel, 32, "Comma")
self.Bind(wx.EVT_RADIOBUTTON, self.setDelim, id=30)
self.Bind(wx.EVT_RADIOBUTTON, self.setDelim, id=31)
self.Bind(wx.EVT_RADIOBUTTON, self.setDelim, id=32)
self.spaceDelim.SetValue(True)
midbsizer.Add((-1, 10))
midbsizer.Add(label, 0, wx.ALIGN_CENTER | wx.BOTTOM | wx.TOP, 10)
midbsizer.Add(self.spaceDelim, 0, wx.LEFT | wx.BOTTOM, 2)
midbsizer.Add(self.tabDelim, 0, wx.LEFT | wx.BOTTOM, 2)
midbsizer.Add(self.commaDelim, 0, wx.LEFT | wx.BOTTOM, 2)
tsizer.Add(midbsizer, 0, wx.LEFT | wx.RIGHT | wx.ALIGN_CENTER_VERTICAL, 10)
#Final Listbox
rlbsizer = wx.BoxSizer(wx.VERTICAL)
righttitle = wx.StaticText(panel, -1, "Exported Data Fields", style=wx.ALIGN_CENTER)
self.rightbox = wx.ListBox(panel, 11, choices=[], style=wx.LB_SINGLE)
rlbsizer.Add(righttitle, 0, wx.ALIGN_CENTER)
rlbsizer.Add(self.rightbox, 1, wx.ALIGN_CENTER | wx.EXPAND | wx.TOP, 10)
tsizer.Add(rlbsizer, 1, wx.ALIGN_CENTER | wx.EXPAND | wx.LEFT | wx.RIGHT, 10)
self.rightbox.Bind(wx.EVT_LEFT_DCLICK, self.puntData)
#U/D buttons
udbsizer = wx.BoxSizer(wx.VERTICAL)
a = wx.Button(panel, 50, "Move Up")
b = wx.Button(panel, 51, "Move Down")
self.Bind(wx.EVT_BUTTON, self.bumpUp, id=50)
self.Bind(wx.EVT_BUTTON, self.bumpDown, id=51)
udbsizer.Add(a, 0, wx.CENTER | wx.BOTTOM, 10)
udbsizer.Add(b, 0, wx.CENTER | wx.BOTTOM, 10)
tsizer.Add(udbsizer, 0, wx.ALIGN_CENTER_VERTICAL | wx.LEFT | wx.RIGHT, 10)
#Clean up horizontal sizers
sizer.Add(tsizer, 1, wx.EXPAND | wx.BOTTOM, 20)
# Export!
sizer.Add(wx.StaticLine(panel, -1), 0, wx.EXPAND | wx.BOTTOM, 15)
self.batchModeCheckbox = wx.CheckBox(panel, 60, "Drag-Drop Batch Mode")
self.batchModeCheckbox.SetValue(False)
sizer.Add(self.batchModeCheckbox, 0, wx.ALIGN_CENTER | wx.TOP, 10)
self.Bind(wx.EVT_CHECKBOX, self.fixBatchMode, id=60)
self.exportButton = wx.Button(panel, 70, "Export")
self.exportButton._secondLevelEnable = False
sizer.Add(self.exportButton, 0, wx.ALIGN_CENTER | wx.TOP | wx.BOTTOM, 10)
self.Bind(wx.EVT_BUTTON, self.exportFile, id=70)
self.exportButton.Disable()
#Late-game setup
if self.digest:
self.leftbox.Set(self.digest.getNames())
#Cleanup
panel.SetSizer(sizer)
if self.manager:
self.CenterOnParent()
self.Show()
def onClose(self, evt):
"""
"""
if self.manager:
self.manager.droppedWindow(self)
self.Destroy()
def setDelim(self, evt):
"""
"""
if self.spaceDelim.GetValue():
self.delim = " "
elif self.tabDelim.GetValue():
self.delim = "\t"
elif self.commaDelim.GetValue():
self.delim = ","
def fixBatchMode(self, evt):
"""
"""
if self.batchModeCheckbox.GetValue():
print "Batch mode disable."
self.importButton.Disable()
self.exportButton.Disable()
else:
print "Batch mode enable."
self.importButton.Enable()
if self.exportButton._secondLevelEnable:
self.exportButton.Enable()
def importFile(self, evt):
"""
"""
dlg = wx.FileDialog(self, "Import ODT File",
os.getcwd(), "",
"OOMMF ODT Data (*.odt)|*.odt",
wx.FD_OPEN)
if dlg.ShowModal() == wx.ID_OK and dlg.GetPath():
#self.fileLabel.SetLabel("Open: " + os.getcwd() + os.path.sep + dlg.GetFilename())
self._importFile(dlg.GetPath())
def _importFile(self, filename):
"""
"""
print "Import enable."
self.fileLabel.SetLabel("Open: " + filename)
self.digest = chomp(filename)
self.leftbox.Set(self.digest.getNames())
self.panel.SendSizeEvent()
self.exportPath = os.path.dirname(filename)
self.exportButton._secondLevelEnable = True
self.exportButton.Enable()
#Cache the autolayout
f = open("." + os.path.sep + "odt.layout", "w")
f.write("\n".join(self.digest.getNames()))
f.close()
def _lightImportFile(self, filename):
"""
"""
#returns (Interpreter, exportPathname)
return (chomp(filename), os.path.dirname(filename))
def exportFile(self, evt):
"""
"""
dlg = wx.FileDialog(self,
'Export Translated File',
self.exportPath, "",
"Plaintext ODT Data (*.txt)|*.txt",
wx.FD_SAVE)
if dlg.ShowModal() == wx.ID_OK and dlg.GetPath():
filename = dlg.GetPath()
self.exportPath = os.path.dirname(dlg.GetPath())
write(filename, self.digest, self.delim, self.watching)
def takeData(self, evt):
"""
"""
if self.digest and self.leftbox.GetSelections():
sel = self.leftbox.GetSelections()[0]
keys = self.digest.getNames()
if not keys[sel] in self.watching:
self.watching.append(keys[sel])
self.rightbox.Set(self.watching)
def takeAll(self, evt):
"""
"""
if self.digest:
self.watching = self.digest.getNames()
self.rightbox.Set(self.watching)
def puntData(self, evt):
"""
"""
if self.digest and self.rightbox.GetSelections():
self.watching.pop(self.rightbox.GetSelections()[0])
self.rightbox.Set(self.watching)
def puntAll(self, evt):
"""
"""
if self.digest:
self.watching = []
self.rightbox.Set(self.watching)
#self.leftbox.Set(self.digest.getNames())
def bumpUp(self, evt):
"""
"""
if self.digest and self.rightbox.GetSelections() and self.rightbox.GetSelections()[0] > 0:
dex = self.rightbox.GetSelections()[0]
pull = self.watching.pop(dex)
self.watching.insert(dex-1, pull)
self.rightbox.Set(self.watching)
self.rightbox.SetSelection(dex-1)
def bumpDown(self, evt):
"""
"""
if self.digest and self.rightbox.GetSelections() and self.rightbox.GetSelections()[0] < len(self.watching)-1:
dex = self.rightbox.GetSelections()[0]
pull = self.watching.pop(dex)
self.watching.insert(dex+1, pull)
self.rightbox.Set(self.watching)
self.rightbox.SetSelection(dex+1)
def showAbout(self, evt):
"""
"""
info = wx.adv.AboutDialogInfo()
mydesc = DESCRIPTION
mylicense = LICENSE
info.SetName(NAME)
info.SetVersion(VERSION)
info.SetDescription("".join(mydesc))
info.SetLicense("".join(mylicense))
info.SetCopyright(COPYRIGHT)
info.SetWebSite(WEBSITE)
wx.adv.AboutBox(info)
###########
# BACKEND #
###########
class ODTDropTarget(wx.FileDropTarget):
"""
"""
def __init__(self, parent):
wx.FileDropTarget.__init__(self)
self.parent = parent
def OnDropFiles(self, x, y, filenames):
"""
"""
namepotential = filterOnExtensions(["odt"], filenames)
if not self.parent.batchModeCheckbox.GetValue() or not self.parent.digest:
#normal mode
if namepotential:
self.parent._importFile(namepotential[0])
return 0
else:
#batch mode
for fname in namepotential:
interp, outDir = self.parent._lightImportFile(fname)
outfname = fname.rsplit(os.path.sep, 1)[1].split(".")[0] + ".txt"
print outDir, outfname
write(outDir + os.path.sep + outfname, interp, self.parent.delim, self.parent.watching)
return 1
def write(filename, interpreter, delim, fields):
"""
"""
print "Write out to:", filename
refdelim = delim
f = open(filename, "w")
#Do keys
if delim == ",":
delim = ", "
if refdelim == " ":
log("Space delim override: Deleting spaces from field names.")
reffields = []
for field in fields:
reffields.append(field.replace(" ", "_"))
else:
reffields = fields
line = delim.join(reffields) + "\n"
f.write(line)
#Do values
i = 0
while i < interpreter.getDataLength()-1:
line = ""
for key in fields:
line += str(interpreter.getData()[key][i]) + delim
line = line.rstrip(delim)
line += "\n"
f.write(line)
i += 1
#Cleanup
f.close()
def resolve(lst, keys):
"""
Return a list of values from a dictionary corresponding to keys provided
"""
out = []
for key in keys:
out.append(lst[key])
return out
def split_densify(a, delim=" "):
"""
"""
rets = []
for p in a.split(delim):
if p:
rets.append(p.strip())
return rets
def log(evt):
"""
"""
print evt
def chomp(odt, parent=None):
"""
"""
retHeaders = []
retDict = {}
log("Opening %s" % odt)
f = open(odt, "r")
data = f.readlines()
log("File length: %d lines." % len(data))
InData = False
if parent:
parent.progstart(len(data))
for i, line in enumerate(data):
if parent:
parent.progreport(i)
line = line.strip()
#Look out for multiple table headers in the parse!
if line[0] == "#":
InData = False
#Comment or table parse
if "Columns" in line:
log("Absorbing header data: Identifying coumns.")
#Clobber header table
retHeaders = []
#Begin slow parse
line = line.split("Columns:")[1].strip()
while line:
grab = ""
line = line.strip()
if line[0] == "{":
#Group match!
grab, line = line.split("}", 1)
line = line.strip() #Must clear trailing spaces
grab = grab.strip("{}")
log("Matching title field by symbol: %s" % grab)
else:
#Spacesplit match
print "In spacesplit match:"
check = line.split(" ", 1)
if len(check) == 1:
grab = check[0]
line = ""
else:
grab, line = check
grab = grab.strip()
log("Matching title field by space: %s" % grab)
if grab:
log("Indexing %s at point %d" % (grab, len(retHeaders)))
retHeaders.append(grab)
if not grab in retDict:
log("Identifying new header: %s" % grab)
retDict[grab] = np.array([])
else:
pass #Currently do nothing on other header lines
else:
if not InData:
log("Processing data block.")
InData = True
#Chew actual data
fields = split_densify(line)
for i, v in enumerate(fields):
fieldname = retHeaders[i]
retDict[fieldname] = np.append(retDict[fieldname], float(v))
f.close()
return Interpreter(headers_prettify(retDict), list_prettify(retHeaders))
class Interpreter(object):
"""
"""
def __init__(self, idict, keys=None):
self.keys = keys
if not self.keys:
self.keys = list(idict.keys())
self.dict = idict
def getNames(self):
return self.keys
def getData(self):
return self.dict
def getDataLength(self):
return len(self.dict[self.keys[0]])
def list_prettify(inList):
"""
"""
out = []
uniquenessCheck = []
for key in inList:
uniquenessCheck.append(key.split(":"))
for key in inList:
fixedkey = namepolish(key, uniquenessCheck)
if fixedkey in out:
log("Uh-oh, you might have caused a key collision! This should be impossible.")
out.append(fixedkey)
return out
def headers_prettify(inDict):
"""
"""
outDict = {}
uniquenessCheck = []
for key in inDict.keys():
uniquenessCheck.append(key.split(":"))
for key in inDict.keys():
fixedkey = namepolish(key, uniquenessCheck)
if fixedkey in outDict:
log("Uh-oh, you might have caused a key collision! This should be impossible.")
outDict[fixedkey] = inDict[key]
return outDict
def namepolish(name, uniquenessCheck):
"""Uniquely identify quantity fields.
This is pretty ugly, but the key point is this: it filters
down to the minimum amount of information necessary to uniquely identify a quantity
It makes things more human-readable
Parameters
----------
name : str
One particular 'key' from header output
uniquenessCheck : list[[list]]
A list of lists of strings where there are duplicates.
Returns
-------
str
A string of simplified field headers.
Examples
--------
>>> namepolish('evolver:givenName:quantity',
[['evolver', 'givenName', 'quantity'],
['evolver', 'givenName', 'quantity2']])
'quantity'
"""
evolver, givenName, quantity = name.split(":")
protectEvolver = False
for item in PROTECTED_NAMES:
if item in evolver:
protectEvolver = True
#This is pretty ugly, but the key point is this: it filters
#down to the minimum amount of information necessary to uniquely identify a quantity
#It makes things more human-readable
# If the quantity is duplicated
if len(_filterOnPos(uniquenessCheck, quantity, 2)) > 1:
# If there is a givenName present
if givenName:
# Take the output from the quantity filter (which we know is > 1 now)
# filter this output and check for duplicates of the givenName.
if len(_filterOnPos(_filterOnPos(uniquenessCheck, quantity, 2), givenName, 1)) > 1:
# Quantity and givenName are both duplicated. We need to keep
# the evolver name to distinguish between fields.
# If the evolver should be protected, put it second.
# It's not clear why the evolver should be first or second
# position.
if protectEvolver:
newname = givenName + " " + evolver + " " + quantity
# if evolver should not be protected, put it first.
else:
newname = evolver + " " + givenName + " " + quantity
# There is a given name present, but no duplicates found.
# As there are no givenName duplicates, we should be able to
# uniquely identify the fields without the evolver.
# We may want to protect the evolver - in this case, include it
# after the givenName
elif protectEvolver:
newname = givenName + " " + evolver + " " + quantity
# If there are no duplicates in the givenName (the 'quantity' is
# duplicated), and the evolver is not protected, drop the evolver.
else:
newname = givenName + " " + quantity
# givenName not present. In this case just output evolver and quantity.
else:
newname = evolver + " " + quantity
# Quantity is not duplicated. Each quantity label is unique, so can identify
# the field usuing quantity alone.
else:
newname = quantity
for item in ALWAYS_CLEAR:
# Remove evolver prefixes to improve readability
newname = newname.replace(item, "")
log("Readability adaptation: %s to %s" % (name, newname))
return newname
def _filterOnPos(inList, item, dex):
"""Return list (of lists) if a string is found in a particular position in
that list.
If the length of 'ret' is more than 1, it means that there is a
duplicate of the target item in the indicated position.
It seems to be called 'filter on pos' as it returns lists only
if the target value is found in the position specified within
the lists supplied.
"""
ret = []
for compare in inList:
if compare[dex] == item:
ret.append(compare)
return ret
def prefix_punt(data):
"""
"""
# Drop prefix (with _ separator)
return data.split("_")[-1]
########
# MAIN #
########
if __name__ == "__main__":
app = wx.App(None)
BigBoss = MainFrame()
app.MainLoop() | PypiClean |
/ESMValTool-2.9.0-py3-none-any.whl/esmvaltool/diag_scripts/autoassess/_plot_mo_metrics.py | import csv
import errno
import os
import matplotlib.pyplot as plt
import numpy as np
from esmvaltool.diag_scripts.shared import save_figure
# Define some colours
BLACK = '#000000'
RED = '#FF0000'
AMBER = '#FF8C00'
GREEN = '#7CFC00'
OBS_GREY = '#000000'
ACC_GREY = '#00FFFF'
STD_GREY = '#EEEEEE'
NOOBS_GREY = '#A9A9A9'
# Set available markers
# Those towards end of list are not really suitable but do extend list
# - How about custom symbols?
MARKERS = 'ops*dh^v<>+xDH.,'
# Create fakelines for legend using MARKERS above
FAKELINES = [
plt.Line2D([0, 0], [0, 1], marker=marker, color=BLACK, linestyle='')
for marker in MARKERS
]
def merge_obs_acc(obs, acc):
"""
Merge observation errors.
Routine to merge observational uncertainty and acceptable range
dictionaries into one dictionary. Returned dictionary will only
contain metrics from the obs dictionary.
:param dict obs: Dictonary of observational uncertainties
:param dict acc: Dictonary of acceptable ranges
:returns: A merge of the obs and acc dictionaries
:rtype: dict.
"""
metrics = {}
for metric in obs.keys():
values = list(obs[metric])
if metric in acc:
values += list(acc[metric])
metrics[metric] = tuple(values)
return metrics
def write_order_metrics(csvfile, metrics):
"""
Write out ordered metrics.
Routine to write out an ordered list of metrics csv file.
Not really csv but easily written out by csv package. This is a line by
line ordered list of the metrics that will be plotted on a NAC plot. It
should be read in and out of a list object.
:param str csvfile: CSV file name
:param list metrics: Ordered list of metrics.
"""
if metrics:
try:
outf = open(csvfile, 'w')
except IOError as ioerr:
if ioerr.errno == errno.EACCES:
pass # Raise Error
else:
with outf:
writer = csv.writer(outf, delimiter=',', quotechar='"')
for metric in metrics:
writer.writerow([metric])
def write_model_metrics(csvfile, metrics):
"""
Write out ordered model metrics.
Routine to write out model metrics csv file.
An unordered list of metrics with a single value metric that are obtained
from processing model output. Note that the model uncertainty also fits
this description. This should be read in and out of a dictionary object
with metric name as key and single float as value.
:param str csvfile: CSV file name
:param dict metrics: Dictionary containing metric values.
"""
if metrics:
try:
outf = open(csvfile, 'w')
except IOError as ioerr:
if ioerr.errno == errno.EACCES:
pass # Raise Error
else:
with outf:
writer = csv.writer(outf, delimiter=',', quotechar='"')
for metric in metrics.items():
writer.writerow(metric)
def write_obs_metrics(csvfile, obs, acc):
"""
Write obs.
Routine to read in observation metrics csv file.
An unordered list of metrics with either 2 or 4 values. The first 2 vals
are the observation range and must exist for any entry. The second 2 vals,
if they exist, are for the acceptable range of the metric. The observation
metrics can either be generated through the same process as the model or
set as fixed reference values. Note that if the metric is a relative
metric (e.g. error) then the first value of a pair should always be zero.
These should be read in and out of two dictionary objects (one for obs and
one for acc) with metric name as key and a tuple of two floats as the val.
:param str csvfile: CSV file name
:param dict obs: Dictonary of observational uncertainties
:param dict acc: Dictonary of acceptable ranges.
"""
metrics = merge_obs_acc(obs, acc)
if metrics:
try:
outf = open(csvfile, 'w')
except IOError as ioerr:
if ioerr.errno == errno.EACCES:
pass # Raise Error
else:
with outf:
writer = csv.writer(outf, delimiter=',', quotechar='"')
for (metric, values) in metrics.items():
writer.writerow([metric] + list(values))
def read_order_metrics(csvfile, required=False):
"""
Read oredred metrics.
Routine to read in ordered list of metrics csv file.
Not really csv but easily read in by csv package. This is a line by line
ordered list of the metrics that will be plotted on a NAC plot. It should
be read in and out of a list object.
:param str csvfile: CSV file name containing an ordered list of metrics
:param bool required: If True then raise error if file does not exist
:returns: An ordered list containing metric names
:rtype: list.
"""
metrics = []
if csvfile is not None:
try:
inf = open(csvfile, 'rb')
except IOError as ioerr:
if ioerr.errno == errno.EACCES:
if required:
pass # Raise Error
else:
pass # Raise Warning
else:
with inf:
reader = csv.reader(inf, delimiter=',', quotechar='"')
for row in reader:
if len(row) == 1:
metrics.append(row[0])
else:
msg = "Ordered metrics file is not properly configured"
raise ValueError(msg)
return metrics
def read_model_metrics(csvfile, required=False):
"""
Read model metrics.
Routine to read in model metrics csv file.
An unordered list of metrics with a single value metric that are obtained
from processing model output. Note that the model uncertainty also fits
this description. This should be read in and out of a dictionary object
with metric name as key and single float as value.
:param str csvfile: CSV file name containing model data
:param bool required: If True then raise error if file does not exist
:returns: Dictionary containing metric values
:rtype: dict.
"""
metrics = {}
if csvfile is not None:
try:
inf = open(csvfile, 'rt')
except IOError as ioerr:
if ioerr.errno == errno.EACCES:
if required:
pass # Raise Error
else:
pass # Raise Warning
else:
with inf:
reader = csv.reader(inf, delimiter=',', quotechar='"')
for row in reader:
metric = row.pop(0)
if len(row) == 1:
metrics[metric] = float(row[0])
else:
msg = "Model metrics file is not properly configured"
raise ValueError(msg)
return metrics
def read_obs_metrics(csvfile, required=False):
"""
Routine to read in observation metrics csv file.
An unordered list of metrics with either 2 or 4 values. The first 2 values
are the observation range and must exist for any entry. The second 2 value
if they exist, are for the acceptable range of the metric. The observation
metrics can either be generated through the same process as the model or
set as fixed reference values. Note that if the metric is a relative metri
(e.g. error) then the first value of a pair should always be zero. These
should be read in and out of two dictionary objects (one for obs and one
for acc) with metric name as key and a tuple of two floats as the value.
:param str csvfile: CSV file name containing observational data
:param bool required: If True then raise error if file does not exist
:returns: A pair of metric dictionaries containing observational
uncertainties and acceptable ranges
:rtype: tuple.
"""
obs = {}
acc = {}
if csvfile is not None:
try:
inf = open(csvfile, 'rt')
except IOError as ioerr:
if ioerr.errno == errno.EACCES:
if required:
pass # Raise Error
else:
pass # Raise Warning
else:
with inf:
reader = csv.reader(inf, delimiter=',', quotechar='"')
for row in reader:
metric = row.pop(0)
# Contrary to documentation, allowing a single entry when
# there is only a single observation value. Will
# ultimately want to remove this as all observations
# should be uncertainty ranges (i.e. multiple obs sources)
if len(row) == 1:
obs[metric] = tuple(
sorted([float(row[0]),
float(row[0])]))
elif len(row) == 2:
obs[metric] = tuple(
sorted([float(row[0]),
float(row[1])]))
elif len(row) == 4:
obs[metric] = tuple(
sorted([float(row[0]),
float(row[1])]))
acc[metric] = tuple(
sorted([float(row[2]),
float(row[3])]))
else:
msg = "Obs metrics file is not properly configured"
raise ValueError(msg)
return (obs, acc)
def metric_colour(test, ref=1.0, var=None, obs=None, acc=None):
"""
Routine to determine whether to colour metric.
GREEN = test within observational uncertainty or acceptable range
AMBER = within model uncertainty, or better than reference but neither ref
or test within observational bounds or acceptable range
RED = worse than reference and outside model uncertainty
GREY = no observational uncertainty or acceptable range
In a lot of instances test/var/obs/acc will have been normalised by ref, so
ref=1.0.
obs and acc should be 2 element tuples that indicate the range of
uncertainty that is acceptable.
The model uncertainty is defined as (ref-var, ref+var)
:param float test: Test metric value
:param float ref: Reference metric value
:param float var: Model uncertainty value
:param tuple obs: Observational uncertainty as (min, max)
:param tuple acc: Acceptable range as (min, max)
:returns: Colour to use in plot indicating performance of metric
:rtype: str.
"""
# Default colour to NOOBS_GREY indicating no observational uncertainty
colour = NOOBS_GREY
# If specified, find if test within model uncertainty
is_test_in_var = False
if var is not None:
is_test_in_var = (ref - var <= test <= ref + var)
# Get AMBER automatically if test within model uncertainty, or RED if
# not within model uncertainty
if is_test_in_var:
colour = AMBER
else:
colour = RED
# If using acceptable ranges, use as proxy for observational uncertainty
if acc is not None:
obs = acc
# Only do the rest if observational uncertainty is specified
if obs is not None:
# Turn data into logicals:
# Find if reference and test within observational uncertainty
is_ref_in_obs = (obs[0] <= ref <= obs[1])
is_test_in_obs = (obs[0] <= test <= obs[1])
# Is test better than reference, judge by which is closer to
# observational uncertainty.
# NOTE: Don't worry here about whether reference or test are within
# observational uncertainty as logic for colours precludes that
# situation.
ref_err = min(abs(ref - obs[0]), abs(ref - obs[1]))
test_err = min(abs(test - obs[0]), abs(test - obs[1]))
is_test_better = (test_err <= ref_err)
# Now for colour logic:
# Default to RED (if not already set) for if test definitely worse,
# will try to turn it into a different colour
if colour == NOOBS_GREY:
colour = RED
# Get GREEN automatically if test within observational uncertainty
if is_test_in_obs:
colour = GREEN
else:
# If test outside model uncertainty, but reference outside
# observational uncertainty and test is better than reference
# then get AMBER.
if not is_test_in_var:
if (not is_ref_in_obs) and is_test_better:
colour = AMBER
return colour
def metric_colours(test, ref=None, var=None, obs=None, acc=None):
"""
Routine to loop over metrics and generate list of colours.
:param dict test: Dictionary of test metrics
:param dict ref: Dictionary of reference metrics
:param dict var: Dictionary of model uncertainties as single values
:param dict obs: Dictionary of observation uncertainties as (min, max)
:param dict acc: Dictionary of acceptable ranges as (min, max)
:returns: Dictionary of colours for test metrics
:rtype: dict.
"""
# initialize
if ref is None:
ref = {}
if var is None:
var = {}
if obs is None:
obs = {}
if acc is None:
acc = {}
colours = {}
if ref:
# Test to make sure if reference metrics dictionary not empty then it
# contains the same metrics as test metrics dictionary
assert sorted(test.keys()) == sorted(ref.keys()), \
"If supplying ref it must have same metrics as test"
else:
# Create reference metrics dictionary with values of 1.0 to match
# test metrics dictionary
ref = {metric: 1.0 for metric in test.keys()}
for metric in test.keys():
colours[metric] = metric_colour(
test[metric],
ref=ref[metric],
var=var.get(metric, None),
obs=obs.get(metric, None),
acc=acc.get(metric, None))
return colours
def normalise(test, ref, strict=False):
"""
Routine to normalise contents of test by contents of ref.
:param dict test: Dictionary of test metrics
:param dict ref: Dictionary of reference metrics
:param bool strict: if True then test and ref must have same metrics
:returns: Dictionary of normalised test metrics
:rtype: dict.
"""
if strict:
# Test to make sure reference metrics dictionary contains the same
# metrics as test metrics dictionary
assert sorted(test.keys()) == sorted(ref.keys()), \
"ref and test must have same set of metrics"
norm = {}
for metric in test.keys():
if metric in ref:
if_float = isinstance(test[metric], float)
if_int = isinstance(test[metric], int)
if if_float or if_int:
if ref[metric] != 0:
norm[metric] = test[metric] / ref[metric]
else:
ref[metric] = 1.e-20
norm[metric] = test[metric] / ref[metric]
else:
if ref[metric] != 0:
norm[metric] = tuple(x / ref[metric]
for x in test[metric])
else:
ref[metric] = 1.
norm[metric] = tuple(x * 0. / ref[metric]
for x in test[metric])
return norm
def plot_std(ax, metrics, data, color=STD_GREY, zorder=0):
"""
Plot model uncertainty as filled bars about nac=1 line.
:param axes ax: ``matplotlib.axes`` to plot data in
:param list metrics: List of metrics to plot in order
:param dict data: Metrics dictionary
:param str color: Colour to plot bars
:param int zorder: Matplotlib plot layer.
"""
# Extract metric data and line up with requested metrics
coord = [i + 1 for (i, metric) in enumerate(metrics) if metric in data]
std = [data[metric] for metric in metrics if metric in data]
# Convert to numpy arrays
coord = np.array(coord)
std = np.array(std)
# Create plot
ax.barh(
coord,
2.0 * std,
left=1.0 - std,
height=1.0,
align='center',
color=color,
linewidth=0,
zorder=zorder)
def plot_obs(ax, metrics, data, color=OBS_GREY, zorder=1):
"""
Plot obs range as error bars.
:param axes ax: ``matplotlib.axes`` to plot data in
:param list metrics: List of metrics to plot in order
:param dict data: Metrics dictionary
:param str color: Colour to plot error bars
:param int zorder: Matplotlib plot layer.
"""
# Extract metric data and line up with requested metrics
coord = [i + 1 for (i, metric) in enumerate(metrics) if metric in data]
obsmin = [data[metric][0] for metric in metrics if metric in data]
obsmax = [data[metric][1] for metric in metrics if metric in data]
# Convert to numpy arrays
coord = np.array(coord)
obsmin = np.array(obsmin)
obsmax = np.array(obsmax)
# Calculate inputs for plotting
orig = 0.5 * (obsmax + obsmin)
err = 0.5 * (obsmax - obsmin)
# Create plot
ax.errorbar(
orig,
coord,
xerr=err,
fmt='none',
ecolor=color,
capsize=5,
zorder=zorder)
def plot_metrics(ax, metrics, data, cols, marker, zorder=3):
"""
Plot metrics using symbols.
:param axes ax: ``matplotlib.axes`` to plot data in
:param list metrics: List of metrics to plot in order
:param dict data: Metrics dictionary
:param dict cols: Metric colours dictionary
:param str marker: Matplotlib symbol to use in plot
:param int zorder: Matplotlib plot layer.
"""
# Extract metric data and line up with requested metrics
coord = [i + 1 for (i, metric) in enumerate(metrics) if metric in data]
pdata = [data[metric] for metric in metrics if metric in data]
pcols = [cols[metric] for metric in metrics if metric in data]
# Convert to numpy arrays
coord = np.array(coord)
pdata = np.array(pdata)
pcols = np.array(pcols)
# Create plot
ax.scatter(
pdata,
coord,
s=50,
edgecolors=BLACK,
c=pcols,
marker=marker,
zorder=zorder)
def plot_get_limits(tests, obs, acc, extend_y=False):
"""
Determine data axis limits.
:param list tests: Test experiment metrics dictionary list
:param dict obs: Observational uncertainty metrics dictionary
:param dict acc: Acceptable range metrics dictionary
:param bool extend_y: Extend y-axis to include obs/acc ranges.
"""
# Calculate absmax/max/min for experiments
minval = min([min(test.values()) for test in tests])
maxval = max([max(test.values()) for test in tests])
maxabs = max([np.abs(list(test.values()))[0] for test in tests])
# If want to extend beyond range of observations
if extend_y:
if obs:
ominval = min([min(x, y) for (x, y) in obs.values()])
omaxval = max([max(x, y) for (x, y) in obs.values()])
omaxabs = max([max(abs(x), abs(y)) for (x, y) in obs.values()])
maxabs = max(maxabs, omaxabs)
minval = min(minval, ominval)
maxval = max(maxval, omaxval)
if acc:
aminval = min([min(x, y) for (x, y) in acc.values()])
amaxval = max([max(x, y) for (x, y) in acc.values()])
amaxabs = max([max(abs(x), abs(y)) for (x, y) in acc.values()])
maxabs = max(maxabs, amaxabs)
minval = min(minval, aminval)
maxval = max(maxval, amaxval)
# Add/Subtract a little bit extra to fully contain plot
extend = 0.05
extra = maxabs * extend
minval -= extra
maxval += extra
# Make range no less than (0, 2)
maxval = max(maxval, 2.0)
minval = min(minval, 0.0)
return (minval, maxval)
def plot_nac(cref,
ctests,
ref,
tests,
metrics=None,
var=None,
obs=None,
acc=None,
extend_y=False,
title=None,
ofile=None,
config=None):
"""
Routine to produce NAC plot.
:param str cref: Reference experiment name
:param list ctests: Test experiment names list
:param dict ref: Reference experiment metric dictionary
:param list tests: Test experiment metrics dictionary list
:param list metrics: List of metrics to plot in order
:param dict var: Model uncertainty metrics dictionary
:param dict obs: Observational uncertainty metrics dictionary
:param dict acc: Acceptable range metrics dictionary
:param bool extend_y: Extend y-axis to include obs/acc ranges
:param str title: Plot title
:param str ofile: Plot file name
:param dict config: ESMValTool configuration object
"""
# initialize
if metrics is None:
metrics = []
if var is None:
var = {}
if obs is None:
obs = {}
if acc is None:
acc = {}
# Create plot figure and axes
(fig, ax) = plt.subplots()
# If metrics haven't been supplied then generate from reference metrics
if not metrics:
metrics = sorted(ref.keys())
# Normalise obs/acc/var by ref
n_var = normalise(var, ref)
n_obs = normalise(obs, ref)
n_acc = normalise(acc, ref)
# Plot obs/acc/var
plot_std(ax, metrics, n_var, color=STD_GREY, zorder=0)
plot_obs(ax, metrics, n_acc, color=ACC_GREY, zorder=1)
plot_obs(ax, metrics, n_obs, color=OBS_GREY, zorder=2)
# Plot metric data
n_tests = []
for (test, marker) in zip(tests, MARKERS):
# Normalise test by ref
n_test = normalise(test, ref, strict=True)
# Check for green/amber/red/grey
colours = metric_colours(n_test, var=n_var, obs=n_obs, acc=n_acc)
# Plot test
plot_metrics(ax, metrics, n_test, colours, marker, zorder=3)
# Keep normalised test data to help configure plot
n_tests.append(n_test)
# Find plot limits
limits = plot_get_limits(n_tests, n_obs, n_acc, extend_y=extend_y)
# Set limits, label axes and add norm=0 & 1 lines
ax.axvline(0.0, color=BLACK, linestyle='dotted')
ax.axvline(1.0, color=BLACK)
ax.set_yticks(np.arange(len(metrics)) + 1)
ax.set_yticklabels(metrics, ha='right', fontsize='x-small')
ax.set_ylim(len(metrics) + 0.5, 0.5)
ax.set_xlim(limits)
ax.set_xlabel('Normalised Assessment Criteria', fontsize='small')
ax.tick_params(axis='x', labelsize='small')
if title is not None:
ax.set_title(title)
# Add plot legend
legend = ax.legend(
FAKELINES[0:len(ctests)],
ctests,
bbox_to_anchor=(1, 1),
loc=2,
numpoints=1,
fancybox=True,
fontsize='small')
legend.set_title('Vs %s' % cref, prop={'size': 'small'})
# Display or produce file
if ofile and config:
os.makedirs(config['plot_dir'], exist_ok=True)
provenance = get_provenance_record(config)
# Note that bbox_inches only works for png plots
save_figure(ofile, provenance, config, fig,
bbox_extra_artists=(legend, ), bbox_inches='tight')
else:
# Need the following to attempt to display legend in frame
fig.subplots_adjust(right=0.85)
plt.show()
plt.close()
def get_provenance_record(config):
"""Create a provenance record describing the diagnostic data and plot."""
filenames = [item["filename"] for item in config["input_data"].values()]
record = {
'caption': 'Normalised assessment criteria plot',
'plot_type': 'metrics',
'authors': [
'williams_keith',
'predoi_valeriu',
'sellar_alistair'
],
"ancestors": filenames,
}
return record | PypiClean |
/LiMiC-0.3.20.tar.gz/LiMiC-0.3.20/limic/serve_web.py | COUNTRIES = (("countries",),{'type':str,'nargs':'+','help':"countries to route on",'metavar':'COUNTRY'})
GRAPH = (("graph_file",),{'type':str,'help':"use graph file GRAPH",'metavar':'GRAPH'})
HTML = (("html_file",),{'type':str,'help':"use rendered HTML file",'metavar':'HTML'})
RHOST = (("--render-host",),{'type':str,'dest':'r_host','default':'127.0.0.1','help':"render hostname (default: 127.0.0.1)",'metavar':'HOST'})
RPORT = (("--render-port",),{'type':int,'dest':'r_port','default':5000, 'help':"render port number (default: 5000)",'metavar':'PORT'})
RPREFIX = (("--render-prefix",),{'type':str,'dest':'r_prefix','default':'','help':"render URI prefix (default: '')",'metavar':'PREFIX'})
HOST = (("--host",),{'type':str,'dest':'host','default':'0.0.0.0','help':"hostname (default: 0.0.0.0)",'metavar':'HOST'})
PORT = (("--port",),{'type':int,'dest':'port','default':5000, 'help':"port number (default: 5000)",'metavar':'PORT'})
PREFIX = (("--prefix",),{'type':str,'dest':'prefix','default':'','help':"URI prefix (default: '')",'metavar':'PREFIX'})
OSM = (("--osm",),{'action':'store_true','dest':'osm','default':False,'help':"process from OSM file (SLOW)"})
NOBROWSER = (("-n","--no-browser"),{'action':'store_true','dest':'no_browser','default':False,'help':"do not open html in browser (headless)"})
URL = (("-d","--download-url"),{'type':str,'dest':'url','help':"define url for download directory to be URL",'metavar':'URL'})
SHOW = (("-l","--list"),{'action':'store_true','dest':'show','default':False,'help':"list available countries (default: False)"})
CONSERVEMEM = (("-c","--conserve-memory"),{'action':'store_true','dest':'conserve_mem','default':False,'help':"lower memory usage but higher runtime"})
CONFIG = [
("auto",{'help':"start HTTP server for given COUNTRY (default: Europe)",'args':[SHOW,URL,CONSERVEMEM,NOBROWSER,HOST,PORT,PREFIX,RHOST,RPORT,RPREFIX,OSM,COUNTRIES]}),
("nx",{'help':"start HTTP server for given GRAPH and rendered HTML file",'args':[SHOW,URL,NOBROWSER,HOST,PORT,PREFIX,RHOST,RPORT,RPREFIX,GRAPH,HTML]}),
("npz",{'help':"start HTTP server for given GRAPH and rendered HTML file",'args':[SHOW,URL,NOBROWSER,HOST,PORT,PREFIX,RHOST,RPORT,RPREFIX,GRAPH,HTML]})
]
def serve_auto(countries,host="localhost",port=5000,prefix="",osm=False,url=None,show=False,no_browser=False,r_host="localhost",r_port=5000,r_prefix="",conserve_mem=False):
from limic.download import common, download_graph, download_merged, download_osm
from limic.init import extract_osm_all, merge_all
from limic.render import render_nx
graph_file = None
if osm:
countries, url = common(countries=countries,url=url,show=show,osm=osm,join=False)
download_osm(countries=countries,url=url)
extract_osm_all(countries=countries,conserve_mem=conserve_mem)
else:
countries, url = common(countries=countries,url=url,show=show,osm=osm,join=True)
download_graph(suffix="npz",countries=countries,url=url,show=show,join=True)
if len(countries) > 1 :
merge_all(countries)
if len(countries) == 1:
graph_file = "graph."+countries[0]+(".nx" if osm else ".npz")
html_file = graph_file[:-2]+"html"
if osm:
serve_nx(graph_file,html_file,host=host,port=port,prefix=prefix,url=url,show=show,no_browser=no_browser,r_host=r_host,r_port=r_port,r_prefix=r_prefix)
else:
serve_npz(graph_file,html_file,host=host,port=port,prefix=prefix,url=url,show=show,no_browser=no_browser,r_host=r_host,r_port=r_port,r_prefix=r_prefix)
def serve_nx(graph_file,html_file,host="localhost",port=5000,prefix="",url=None,show=False,no_browser=False,r_host="localhost",r_port=5000,r_prefix=""):
from render import render_nx
from route import astar_nx
g,nodes = render_nx(graph_file,html_file,host=r_host,port=r_port,prefix=r_prefix)
serve(g,nodes,astar_nx,html_file,host,port,prefix,url,show,no_browser,r_host,r_port,r_prefix)
def serve_npz(graph_file,html_file,host="localhost",port=5000,prefix="",url=None,show=False,no_browser=False,r_host="localhost",r_port=5000,r_prefix=""):
from limic.render import render_npz
from limic.route import astar_npz
g,nodes = render_npz(graph_file,html_file,host=r_host,port=r_port,prefix=r_prefix)
serve(g,nodes,astar_npz,html_file,host,port,prefix,url,show,no_browser,r_host,r_port,r_prefix)
def serve(g,nodes,astar,html_file,host="localhost",port=5000,prefix="",url=None,show=False,no_browser=False,r_host="localhost",r_port=5000,r_prefix=""):
from flask import Flask, jsonify, request
from limic.util import load_pickled, start, end, status
from threading import Thread
from time import sleep
from webbrowser import open as wopen
from scipy.spatial import cKDTree as KDTree
from pyproj import CRS, Transformer
start("Initializing KD-Tree")
crs_4326 = CRS("WGS84")
crs_proj = CRS("EPSG:28992")
transformer = Transformer.from_crs(crs_4326, crs_proj)
tree = KDTree(list(map(lambda x:transformer.transform(x[1],x[2]),nodes)))
end()
my_file="Test.html"
start("Setting up the app.........")
app = Flask("LiMiC")
@app.route(prefix+"/")
def hello():
return open(my_file).read()
@app.route(prefix+"/tower")
def tower():
lat = float(request.args.get('lat'))
lng = float(request.args.get('lng'))
start("Finding tower",lat,lng)
tower = nodes[tree.query(transformer.transform(lat,lng))[1]]
end('')
res = jsonify(tower=tower)
end()
return res
@app.route(prefix+"/web")
def web():
return open(my_file).read()
@app.route(prefix+"/route")
def route():
source_lat = float(request.args.get('source[lat]'))
source_lng = float(request.args.get('source[lng]'))
target_lat = float(request.args.get('target[lat]'))
target_lng = float(request.args.get('target[lng]'))
start("Routing",source_lat,source_lng,target_lat,target_lng)
source_index = tree.query(transformer.transform(source_lat,source_lng))[1]
source = nodes[source_index]
end('')
target_index = tree.query(transformer.transform(target_lat,target_lng))[1]
target = nodes[target_index]
end('')
path = astar(g,(source,source_index),(target,target_index))
end('')
if path[1][-1][0] == float('inf'):
path[1][-1] = (path[1][-1][1],)+path[1][-1][1:]
res = jsonify(path=path)
#print(len(path[1]))
i=0
f= open("Data.txt","w+")
while (i <len(path[1])):
t=path[1][i]
lat=print(t[4])
f.write(str(t[4])+","+str(t[5])+"\n")
i=i+1
end()
f.close()
return res
end()
class OpenThread(Thread):
def run(self):
delay = 0.5
sleep(delay)
url = "http://%s:%d%s/" % (r_host,r_port,r_prefix)
start("Open",url,"in browser")
wopen(url,new=2)
status("DONE")
if not no_browser:
OpenThread().start()
app.run(host=host,port=port)
if __name__ == "__main__":
import sys
serve_nx(sys.argv[1],sys.argv[2]) | PypiClean |
/DataGridBWC-0.2.2.tar.gz/DataGridBWC-0.2.2/datagridbwc_ta/static/js/jquery.multiselect.min.js | (function(d){var j=0;d.widget("ech.multiselect",{options:{header:!0,height:175,minWidth:225,classes:"",checkAllText:"Check all",uncheckAllText:"Uncheck all",noneSelectedText:"Select options",selectedText:"# selected",selectedList:0,show:"",hide:"",autoOpen:!1,multiple:!0,position:{}},_create:function(){var a=this.element.hide(),b=this.options;this.speed=d.fx.speeds._default;this._isOpen=!1;a=(this.button=d('<button type="button"><span class="ui-icon ui-icon-triangle-2-n-s"></span></button>')).addClass("ui-multiselect ui-widget ui-state-default ui-corner-all").addClass(b.classes).attr({title:a.attr("title"), "aria-haspopup":!0,tabIndex:a.attr("tabIndex")}).insertAfter(a);(this.buttonlabel=d("<span />")).html(b.noneSelectedText).appendTo(a);var a=(this.menu=d("<div />")).addClass("ui-multiselect-menu ui-widget ui-widget-content ui-corner-all").addClass(b.classes).appendTo(document.body),c=(this.header=d("<div />")).addClass("ui-widget-header ui-corner-all ui-multiselect-header ui-helper-clearfix").appendTo(a);(this.headerLinkContainer=d("<ul />")).addClass("ui-helper-reset").html(function(){return!0=== b.header?'<li><a class="ui-multiselect-all" href="#"><span class="ui-icon ui-icon-check"></span><span>'+b.checkAllText+'</span></a></li><li><a class="ui-multiselect-none" href="#"><span class="ui-icon ui-icon-closethick"></span><span>'+b.uncheckAllText+"</span></a></li>":"string"===typeof b.header?"<li>"+b.header+"</li>":""}).append('<li class="ui-multiselect-close"><a href="#" class="ui-multiselect-close"><span class="ui-icon ui-icon-circle-close"></span></a></li>').appendTo(c);(this.checkboxContainer= d("<ul />")).addClass("ui-multiselect-checkboxes ui-helper-reset").appendTo(a);this._bindEvents();this.refresh(!0);b.multiple||a.addClass("ui-multiselect-single")},_init:function(){!1===this.options.header&&this.header.hide();this.options.multiple||this.headerLinkContainer.find(".ui-multiselect-all, .ui-multiselect-none").hide();this.options.autoOpen&&this.open();this.element.is(":disabled")&&this.disable()},refresh:function(a){var b=this.element,c=this.options,e=this.menu,h=this.checkboxContainer, g=[],f=[],i=b.attr("id")||j++;b.find("option").each(function(b){d(this);var a=this.parentNode,e=this.innerHTML,h=this.title,j=this.value,b=this.id||"ui-multiselect-"+i+"-option-"+b,k=this.disabled,m=this.selected,l=["ui-corner-all"];"optgroup"===a.tagName.toLowerCase()&&(a=a.getAttribute("label"),-1===d.inArray(a,g)&&(f.push('<li class="ui-multiselect-optgroup-label"><a href="#">'+a+"</a></li>"),g.push(a)));k&&l.push("ui-state-disabled");m&&!c.multiple&&l.push("ui-state-active");f.push('<li class="'+ (k?"ui-multiselect-disabled":"")+'">');f.push('<label for="'+b+'" title="'+h+'" class="'+l.join(" ")+'">');f.push('<input id="'+b+'" name="multiselect_'+i+'" type="'+(c.multiple?"checkbox":"radio")+'" value="'+j+'" title="'+e+'"');m&&(f.push(' checked="checked"'),f.push(' aria-selected="true"'));k&&(f.push(' disabled="disabled"'),f.push(' aria-disabled="true"'));f.push(" /><span>"+e+"</span></label></li>")});h.html(f.join(""));this.labels=e.find("label");this._setButtonWidth();this._setMenuWidth(); this.button[0].defaultValue=this.update();a||this._trigger("refresh")},update:function(){var a=this.options,b=this.labels.find("input"),c=b.filter("[checked]"),e=c.length,a=0===e?a.noneSelectedText:d.isFunction(a.selectedText)?a.selectedText.call(this,e,b.length,c.get()):/\d/.test(a.selectedList)&&0<a.selectedList&&e<=a.selectedList?c.map(function(){return d(this).next().text()}).get().join(", "):a.selectedText.replace("#",e).replace("#",b.length);this.buttonlabel.html(a);return a},_bindEvents:function(){function a(){b[b._isOpen? "close":"open"]();return!1}var b=this,c=this.button;c.find("span").bind("click.multiselect",a);c.bind({click:a,keypress:function(a){switch(a.which){case 27:case 38:case 37:b.close();break;case 39:case 40:b.open()}},mouseenter:function(){c.hasClass("ui-state-disabled")||d(this).addClass("ui-state-hover")},mouseleave:function(){d(this).removeClass("ui-state-hover")},focus:function(){c.hasClass("ui-state-disabled")||d(this).addClass("ui-state-focus")},blur:function(){d(this).removeClass("ui-state-focus")}}); this.header.delegate("a","click.multiselect",function(a){if(d(this).hasClass("ui-multiselect-close"))b.close();else b[d(this).hasClass("ui-multiselect-all")?"checkAll":"uncheckAll"]();a.preventDefault()});this.menu.delegate("li.ui-multiselect-optgroup-label a","click.multiselect",function(a){a.preventDefault();var c=d(this),g=c.parent().nextUntil("li.ui-multiselect-optgroup-label").find("input:visible:not(:disabled)"),f=g.get(),c=c.parent().text();!1!==b._trigger("beforeoptgrouptoggle",a,{inputs:f, label:c})&&(b._toggleChecked(g.filter("[checked]").length!==g.length,g),b._trigger("optgrouptoggle",a,{inputs:f,label:c,checked:f[0].checked}))}).delegate("label","mouseenter.multiselect",function(){d(this).hasClass("ui-state-disabled")||(b.labels.removeClass("ui-state-hover"),d(this).addClass("ui-state-hover").find("input").focus())}).delegate("label","keydown.multiselect",function(a){a.preventDefault();switch(a.which){case 9:case 27:b.close();break;case 38:case 40:case 37:case 39:b._traverse(a.which, this);break;case 13:d(this).find("input")[0].click()}}).delegate('input[type="checkbox"], input[type="radio"]',"click.multiselect",function(a){var c=d(this),g=this.value,f=this.checked,i=b.element.find("option");this.disabled||!1===b._trigger("click",a,{value:g,text:this.title,checked:f})?a.preventDefault():(c.focus(),c.attr("aria-selected",f),i.each(function(){if(this.value===g)this.selected=f;else if(!b.options.multiple)this.selected=!1}),b.options.multiple||(b.labels.removeClass("ui-state-active"), c.closest("label").toggleClass("ui-state-active",f),b.close()),b.element.trigger("change"),setTimeout(d.proxy(b.update,b),10))});d(document).bind("mousedown.multiselect",function(a){b._isOpen&&!d.contains(b.menu[0],a.target)&&!d.contains(b.button[0],a.target)&&a.target!==b.button[0]&&b.close()});d(this.element[0].form).bind("reset.multiselect",function(){setTimeout(d.proxy(b.refresh,b),10)})},_setButtonWidth:function(){var a=this.element.outerWidth(),b=this.options;if(/\d/.test(b.minWidth)&&a<b.minWidth)a= b.minWidth;this.button.width(a)},_setMenuWidth:function(){var a=this.menu,b=this.button.outerWidth()-parseInt(a.css("padding-left"),10)-parseInt(a.css("padding-right"),10)-parseInt(a.css("border-right-width"),10)-parseInt(a.css("border-left-width"),10);a.width(b||this.button.outerWidth())},_traverse:function(a,b){var c=d(b),e=38===a||37===a,c=c.parent()[e?"prevAll":"nextAll"]("li:not(.ui-multiselect-disabled, .ui-multiselect-optgroup-label)")[e?"last":"first"]();c.length?c.find("label").trigger("mouseover"): (c=this.menu.find("ul").last(),this.menu.find("label")[e?"last":"first"]().trigger("mouseover"),c.scrollTop(e?c.height():0))},_toggleState:function(a,b){return function(){this.disabled||(this[a]=b);b?this.setAttribute("aria-selected",!0):this.removeAttribute("aria-selected")}},_toggleChecked:function(a,b){var c=b&&b.length?b:this.labels.find("input"),e=this;c.each(this._toggleState("checked",a));c.eq(0).focus();this.update();var h=c.map(function(){return this.value}).get();this.element.find("option").each(function(){!this.disabled&& -1<d.inArray(this.value,h)&&e._toggleState("selected",a).call(this)});c.length&&this.element.trigger("change")},_toggleDisabled:function(a){this.button.attr({disabled:a,"aria-disabled":a})[a?"addClass":"removeClass"]("ui-state-disabled");this.menu.find("input").attr({disabled:a,"aria-disabled":a}).parent()[a?"addClass":"removeClass"]("ui-state-disabled");this.element.attr({disabled:a,"aria-disabled":a})},open:function(){var a=this.button,b=this.menu,c=this.speed,e=this.options;if(!(!1===this._trigger("beforeopen")|| a.hasClass("ui-state-disabled")||this._isOpen)){var h=b.find("ul").last(),g=e.show,f=a.offset();d.isArray(e.show)&&(g=e.show[0],c=e.show[1]||this.speed);h.scrollTop(0).height(e.height);d.ui.position&&!d.isEmptyObject(e.position)?(e.position.of=e.position.of||a,b.show().position(e.position).hide().show(g,c)):b.css({top:f.top+a.outerHeight(),left:f.left}).show(g,c);this.labels.eq(0).trigger("mouseover").trigger("mouseenter").find("input").trigger("focus");a.addClass("ui-state-active");this._isOpen= !0;this._trigger("open")}},close:function(){if(!1!==this._trigger("beforeclose")){var a=this.options,b=a.hide,c=this.speed;d.isArray(a.hide)&&(b=a.hide[0],c=a.hide[1]||this.speed);this.menu.hide(b,c);this.button.removeClass("ui-state-active").trigger("blur").trigger("mouseleave");this._isOpen=!1;this._trigger("close")}},enable:function(){this._toggleDisabled(!1)},disable:function(){this._toggleDisabled(!0)},checkAll:function(){this._toggleChecked(!0);this._trigger("checkAll")},uncheckAll:function(){this._toggleChecked(!1); this._trigger("uncheckAll")},getChecked:function(){return this.menu.find("input").filter("[checked]")},destroy:function(){d.Widget.prototype.destroy.call(this);this.button.remove();this.menu.remove();this.element.show();return this},isOpen:function(){return this._isOpen},widget:function(){return this.menu},_setOption:function(a,b){var c=this.menu;switch(a){case "header":c.find("div.ui-multiselect-header")[b?"show":"hide"]();break;case "checkAllText":c.find("a.ui-multiselect-all span").eq(-1).text(b); break;case "uncheckAllText":c.find("a.ui-multiselect-none span").eq(-1).text(b);break;case "height":c.find("ul").last().height(parseInt(b,10));break;case "minWidth":this.options[a]=parseInt(b,10);this._setButtonWidth();this._setMenuWidth();break;case "selectedText":case "selectedList":case "noneSelectedText":this.options[a]=b;this.update();break;case "classes":c.add(this.button).removeClass(this.options.classes).addClass(b)}d.Widget.prototype._setOption.apply(this,arguments)}})})(jQuery); | PypiClean |
/ChatExchange-0.0.4-py3-none-any.whl/chatexchange/client.py | import sys
if sys.version_info[0] == 2:
import Queue as queue
else:
import queue
import logging
if sys.version_info[:2] <= (2, 6):
logging.Logger.getChild = lambda self, suffix:\
self.manager.getLogger('.'.join((self.name, suffix)) if self.root is not self else suffix)
import collections
import re
import time
import threading
import weakref
import requests
from . import browser, events, messages, rooms, users
TOO_FAST_RE = r"You can perform this action again in (\d+) seconds"
logger = logging.getLogger(__name__)
class Client(object):
"""
A high-level interface for interacting with Stack Exchange chat.
@ivar logged_in: Whether this client is currently logged-in.
If False, attempting requests will result in errors.
@type logged_in: L{bool}
@ivar host: Hostname of associated Stack Exchange site.
@type host: L{str}
@cvar valid_hosts: Set of valid/real Stack Exchange hostnames with chat.
@type valid_hosts: L{set}
"""
_max_recently_gotten_objects = 5000
def __init__(self, host='stackexchange.com', email=None, password=None):
"""
Initializes a client for a specific chat host.
If email and password are provided, the client will L{login}.
"""
self.logger = logger.getChild('Client')
if email or password:
assert email and password, (
"must specify both email and password or neither")
# any known instances
self._messages = weakref.WeakValueDictionary()
self._rooms = weakref.WeakValueDictionary()
self._users = weakref.WeakValueDictionary()
if host not in self.valid_hosts:
raise ValueError("invalid host: %r" % (host,))
self.host = host
self.logged_in = False
self.on_message_sent = None
self._request_queue = queue.Queue()
self._br = browser.Browser()
self._br.host = host
self._previous = None
self._recently_gotten_objects = collections.deque(maxlen=self._max_recently_gotten_objects)
self._requests_served = 0
self._thread = threading.Thread(target=self._worker, name="message_sender")
self._thread.setDaemon(True)
if email or password:
assert email and password
self.login(email, password)
def get_message(self, message_id, **attrs_to_set):
"""
Returns the Message instance with the given message_id.
Any keyword arguments will be assigned as attributes of the Message.
@rtype: L{chatexchange.messages.Message}
"""
return self._get_and_set_deduplicated(
messages.Message, message_id, self._messages, attrs_to_set)
def get_room(self, room_id, **attrs_to_set):
"""
Returns the Room instance with the given room_id.
Any keyword arguments will be assigned as attributes of the Room.
@rtype: L{rooms.Room}
"""
return self._get_and_set_deduplicated(
rooms.Room, room_id, self._rooms, attrs_to_set)
def get_user(self, user_id, **attrs_to_set):
"""
Returns the User instance with the given room_id.
Any keyword arguments will be assigned as attributes of the Room.
@rtype: L{users.User}
"""
return self._get_and_set_deduplicated(
users.User, user_id, self._users, attrs_to_set)
def _get_and_set_deduplicated(self, cls, id, instances, attrs):
instance = instances.setdefault(id, cls(id, self))
for key, value in attrs.items():
setattr(instance, key, value)
# we force a fixed number of recent objects to be cached
self._recently_gotten_objects.appendleft(instance)
return instance
valid_hosts = ('stackexchange.com', 'meta.stackexchange.com', 'stackoverflow.com')
def get_me(self):
"""
Returns the currently-logged-in User.
@rtype: L{users.User}
"""
assert self._br.user_id is not None
return self.get_user(self._br.user_id, name=self._br.user_name)
def login(self, email, password):
"""
Authenticates using the provided Stack Exchange OpenID credentials.
If successful, blocks until the instance is ready to use.
"""
assert not self.logged_in
self.logger.info("Logging in.")
self._br.login_site(self.host, email, password)
self.logged_in = True
self.logger.info("Logged in.")
self._thread.start()
def logout(self):
"""
Logs out this client once all queued requests are sent.
The client cannot be logged back in/reused.
"""
assert self.logged_in
for watcher in self._br.sockets.values():
watcher.killed = True
for watcher in self._br.polls.values():
watcher.killed = True
self._request_queue.put(SystemExit)
self.logger.info("Logged out.")
self.logged_in = False
def set_websocket_recovery(self, on_ws_closed):
self._br.set_websocket_recovery(on_ws_closed)
def __del__(self):
if self.logged_in:
self._request_queue.put(SystemExit)
assert False, "You forgot to log out."
def _worker(self):
assert self.logged_in
self.logger.info("Worker thread reporting for duty.")
while True:
next_action = self._request_queue.get() # blocking
if next_action == SystemExit:
self.logger.info("Worker thread exits.")
return
else:
self._requests_served += 1
self.logger.info(
"Now serving customer %d, %r",
self._requests_served, next_action)
self._do_action_despite_throttling(next_action)
self._request_queue.task_done()
# Appeasing the rate limiter gods is hard.
_BACKOFF_ADDER = 5
# When told to wait n seconds, wait n * BACKOFF_MULTIPLIER + BACKOFF_ADDER
@staticmethod
def _unpack_response(response):
try:
j = response.json()
return j
except ValueError:
return response.text
def _do_action_despite_throttling(self, action):
action_type = action[0]
if action_type == 'send':
action_type, room_id, text = action
else:
assert action_type == 'edit' or action_type == 'delete'
action_type, message_id, text = action
sent = False
attempt = 0
if text == self._previous:
text = " " + text
response = None
unpacked = None
while not sent:
wait = 0
attempt += 1
self.logger.debug("Attempt %d: start.", attempt)
try:
if action_type == 'send':
response = self._br.send_message(room_id, text)
elif action_type == 'edit':
response = self._br.edit_message(message_id, text)
else:
assert action_type == 'delete'
response = self._br.delete_message(message_id)
except requests.HTTPError as ex:
if ex.response.status_code == 409:
# this could be a throttling message we know how to handle
response = ex.response
else:
raise
unpacked = Client._unpack_response(response)
ignored_messages = ["ok", "It is too late to delete this message",
"It is too late to edit this message",
"The message has been deleted and cannot be edited",
"This message has already been deleted."]
if isinstance(unpacked, str) and unpacked not in ignored_messages:
match = re.match(TOO_FAST_RE, unpacked)
if match: # Whoops, too fast.
wait = int(match.group(1))
self.logger.debug(
"Attempt %d: denied: throttled, must wait %.1f seconds",
attempt, wait)
# Wait more than that, though.
wait += 1
else: # Something went wrong. I guess that happens.
if attempt > 5:
err = ChatActionError("5 failed attempts to do chat action. Unknown reason: %s" % unpacked)
raise err
wait = self._BACKOFF_ADDER
logging.error(
"Attempt %d: denied: unknown reason %r",
attempt, unpacked)
elif isinstance(unpacked, dict):
if unpacked["id"] is None: # Duplicate message?
text += " " # Append because markdown
wait = self._BACKOFF_ADDER
self.logger.debug(
"Attempt %d: denied: duplicate, waiting %.1f seconds.",
attempt, wait)
if wait:
self.logger.debug("Attempt %d: waiting %.1f seconds", attempt, wait)
else:
wait = self._BACKOFF_ADDER
self.logger.debug("Attempt %d: success. Waiting %.1f seconds", attempt, wait)
sent = True
self._previous = text
time.sleep(wait)
if action_type == 'send' and isinstance(unpacked, dict) and self.on_message_sent is not None:
self.on_message_sent(response.json()["id"], room_id)
return response
def _join_room(self, room_id):
self._br.join_room(room_id)
def _leave_room(self, room_id):
self._br.leave_room(room_id)
class ChatActionError(Exception):
pass | PypiClean |
/Mezzanine-6.0.0.tar.gz/Mezzanine-6.0.0/mezzanine/blog/templatetags/blog_tags.py | from datetime import datetime
from django.contrib.auth import get_user_model
from django.db.models import Count, Q
from django.utils import timezone
from mezzanine import template
from mezzanine.blog.forms import BlogPostForm
from mezzanine.blog.models import BlogCategory, BlogPost
from mezzanine.generic.models import Keyword
User = get_user_model()
register = template.Library()
@register.as_tag
def blog_months(*args):
"""
Put a list of dates for blog posts into the template context.
"""
dates = BlogPost.objects.published().values_list("publish_date", flat=True)
tz = timezone.get_current_timezone()
dates = [d.astimezone(tz) for d in dates]
date_dicts = [{"date": datetime(d.year, d.month, 1)} for d in dates]
month_dicts = []
for date_dict in date_dicts:
if date_dict not in month_dicts:
month_dicts.append(date_dict)
for date_dict in month_dicts:
date_dict["post_count"] = date_dicts.count(date_dict)
return month_dicts
@register.as_tag
def blog_categories(*args):
"""
Put a list of categories for blog posts into the template context.
"""
posts = BlogPost.objects.published()
categories = BlogCategory.objects.filter(blogposts__in=posts)
return list(categories.annotate(post_count=Count("blogposts")))
@register.as_tag
def blog_authors(*args):
"""
Put a list of authors (users) for blog posts into the template context.
"""
blog_posts = BlogPost.objects.published()
authors = User.objects.filter(blogposts__in=blog_posts)
return list(authors.annotate(post_count=Count("blogposts")))
@register.as_tag
def blog_recent_posts(limit=5, tag=None, username=None, category=None):
"""
Put a list of recently published blog posts into the template
context. A tag title or slug, category title or slug or author's
username can also be specified to filter the recent posts returned.
Usage::
{% blog_recent_posts 5 as recent_posts %}
{% blog_recent_posts limit=5 tag="django" as recent_posts %}
{% blog_recent_posts limit=5 category="python" as recent_posts %}
{% blog_recent_posts 5 username=admin as recent_posts %}
"""
blog_posts = BlogPost.objects.published().select_related("user")
title_or_slug = lambda s: Q(title=s) | Q(slug=s)
if tag is not None:
try:
tag = Keyword.objects.get(title_or_slug(tag))
blog_posts = blog_posts.filter(keywords__keyword=tag)
except Keyword.DoesNotExist:
return []
if category is not None:
try:
category = BlogCategory.objects.get(title_or_slug(category))
blog_posts = blog_posts.filter(categories=category)
except BlogCategory.DoesNotExist:
return []
if username is not None:
try:
author = User.objects.get(username=username)
blog_posts = blog_posts.filter(user=author)
except User.DoesNotExist:
return []
return list(blog_posts[:limit])
@register.inclusion_tag("admin/includes/quick_blog.html", takes_context=True)
def quick_blog(context):
"""
Admin dashboard tag for the quick blog form.
"""
context["form"] = BlogPostForm()
return context.flatten() | PypiClean |
/Jinja2-3.1.2-py3-none-any.whl/jinja2/utils.py | import enum
import json
import os
import re
import typing as t
from collections import abc
from collections import deque
from random import choice
from random import randrange
from threading import Lock
from types import CodeType
from urllib.parse import quote_from_bytes
import markupsafe
if t.TYPE_CHECKING:
import typing_extensions as te
F = t.TypeVar("F", bound=t.Callable[..., t.Any])
# special singleton representing missing values for the runtime
missing: t.Any = type("MissingType", (), {"__repr__": lambda x: "missing"})()
internal_code: t.MutableSet[CodeType] = set()
concat = "".join
def pass_context(f: F) -> F:
"""Pass the :class:`~jinja2.runtime.Context` as the first argument
to the decorated function when called while rendering a template.
Can be used on functions, filters, and tests.
If only ``Context.eval_context`` is needed, use
:func:`pass_eval_context`. If only ``Context.environment`` is
needed, use :func:`pass_environment`.
.. versionadded:: 3.0.0
Replaces ``contextfunction`` and ``contextfilter``.
"""
f.jinja_pass_arg = _PassArg.context # type: ignore
return f
def pass_eval_context(f: F) -> F:
"""Pass the :class:`~jinja2.nodes.EvalContext` as the first argument
to the decorated function when called while rendering a template.
See :ref:`eval-context`.
Can be used on functions, filters, and tests.
If only ``EvalContext.environment`` is needed, use
:func:`pass_environment`.
.. versionadded:: 3.0.0
Replaces ``evalcontextfunction`` and ``evalcontextfilter``.
"""
f.jinja_pass_arg = _PassArg.eval_context # type: ignore
return f
def pass_environment(f: F) -> F:
"""Pass the :class:`~jinja2.Environment` as the first argument to
the decorated function when called while rendering a template.
Can be used on functions, filters, and tests.
.. versionadded:: 3.0.0
Replaces ``environmentfunction`` and ``environmentfilter``.
"""
f.jinja_pass_arg = _PassArg.environment # type: ignore
return f
class _PassArg(enum.Enum):
context = enum.auto()
eval_context = enum.auto()
environment = enum.auto()
@classmethod
def from_obj(cls, obj: F) -> t.Optional["_PassArg"]:
if hasattr(obj, "jinja_pass_arg"):
return obj.jinja_pass_arg # type: ignore
return None
def internalcode(f: F) -> F:
"""Marks the function as internally used"""
internal_code.add(f.__code__)
return f
def is_undefined(obj: t.Any) -> bool:
"""Check if the object passed is undefined. This does nothing more than
performing an instance check against :class:`Undefined` but looks nicer.
This can be used for custom filters or tests that want to react to
undefined variables. For example a custom default filter can look like
this::
def default(var, default=''):
if is_undefined(var):
return default
return var
"""
from .runtime import Undefined
return isinstance(obj, Undefined)
def consume(iterable: t.Iterable[t.Any]) -> None:
"""Consumes an iterable without doing anything with it."""
for _ in iterable:
pass
def clear_caches() -> None:
"""Jinja keeps internal caches for environments and lexers. These are
used so that Jinja doesn't have to recreate environments and lexers all
the time. Normally you don't have to care about that but if you are
measuring memory consumption you may want to clean the caches.
"""
from .environment import get_spontaneous_environment
from .lexer import _lexer_cache
get_spontaneous_environment.cache_clear()
_lexer_cache.clear()
def import_string(import_name: str, silent: bool = False) -> t.Any:
"""Imports an object based on a string. This is useful if you want to
use import paths as endpoints or something similar. An import path can
be specified either in dotted notation (``xml.sax.saxutils.escape``)
or with a colon as object delimiter (``xml.sax.saxutils:escape``).
If the `silent` is True the return value will be `None` if the import
fails.
:return: imported object
"""
try:
if ":" in import_name:
module, obj = import_name.split(":", 1)
elif "." in import_name:
module, _, obj = import_name.rpartition(".")
else:
return __import__(import_name)
return getattr(__import__(module, None, None, [obj]), obj)
except (ImportError, AttributeError):
if not silent:
raise
def open_if_exists(filename: str, mode: str = "rb") -> t.Optional[t.IO]:
"""Returns a file descriptor for the filename if that file exists,
otherwise ``None``.
"""
if not os.path.isfile(filename):
return None
return open(filename, mode)
def object_type_repr(obj: t.Any) -> str:
"""Returns the name of the object's type. For some recognized
singletons the name of the object is returned instead. (For
example for `None` and `Ellipsis`).
"""
if obj is None:
return "None"
elif obj is Ellipsis:
return "Ellipsis"
cls = type(obj)
if cls.__module__ == "builtins":
return f"{cls.__name__} object"
return f"{cls.__module__}.{cls.__name__} object"
def pformat(obj: t.Any) -> str:
"""Format an object using :func:`pprint.pformat`."""
from pprint import pformat # type: ignore
return pformat(obj)
_http_re = re.compile(
r"""
^
(
(https?://|www\.) # scheme or www
(([\w%-]+\.)+)? # subdomain
(
[a-z]{2,63} # basic tld
|
xn--[\w%]{2,59} # idna tld
)
|
([\w%-]{2,63}\.)+ # basic domain
(com|net|int|edu|gov|org|info|mil) # basic tld
|
(https?://) # scheme
(
(([\d]{1,3})(\.[\d]{1,3}){3}) # IPv4
|
(\[([\da-f]{0,4}:){2}([\da-f]{0,4}:?){1,6}]) # IPv6
)
)
(?::[\d]{1,5})? # port
(?:[/?#]\S*)? # path, query, and fragment
$
""",
re.IGNORECASE | re.VERBOSE,
)
_email_re = re.compile(r"^\S+@\w[\w.-]*\.\w+$")
def urlize(
text: str,
trim_url_limit: t.Optional[int] = None,
rel: t.Optional[str] = None,
target: t.Optional[str] = None,
extra_schemes: t.Optional[t.Iterable[str]] = None,
) -> str:
"""Convert URLs in text into clickable links.
This may not recognize links in some situations. Usually, a more
comprehensive formatter, such as a Markdown library, is a better
choice.
Works on ``http://``, ``https://``, ``www.``, ``mailto:``, and email
addresses. Links with trailing punctuation (periods, commas, closing
parentheses) and leading punctuation (opening parentheses) are
recognized excluding the punctuation. Email addresses that include
header fields are not recognized (for example,
``mailto:address@example.com?cc=copy@example.com``).
:param text: Original text containing URLs to link.
:param trim_url_limit: Shorten displayed URL values to this length.
:param target: Add the ``target`` attribute to links.
:param rel: Add the ``rel`` attribute to links.
:param extra_schemes: Recognize URLs that start with these schemes
in addition to the default behavior.
.. versionchanged:: 3.0
The ``extra_schemes`` parameter was added.
.. versionchanged:: 3.0
Generate ``https://`` links for URLs without a scheme.
.. versionchanged:: 3.0
The parsing rules were updated. Recognize email addresses with
or without the ``mailto:`` scheme. Validate IP addresses. Ignore
parentheses and brackets in more cases.
"""
if trim_url_limit is not None:
def trim_url(x: str) -> str:
if len(x) > trim_url_limit: # type: ignore
return f"{x[:trim_url_limit]}..."
return x
else:
def trim_url(x: str) -> str:
return x
words = re.split(r"(\s+)", str(markupsafe.escape(text)))
rel_attr = f' rel="{markupsafe.escape(rel)}"' if rel else ""
target_attr = f' target="{markupsafe.escape(target)}"' if target else ""
for i, word in enumerate(words):
head, middle, tail = "", word, ""
match = re.match(r"^([(<]|<)+", middle)
if match:
head = match.group()
middle = middle[match.end() :]
# Unlike lead, which is anchored to the start of the string,
# need to check that the string ends with any of the characters
# before trying to match all of them, to avoid backtracking.
if middle.endswith((")", ">", ".", ",", "\n", ">")):
match = re.search(r"([)>.,\n]|>)+$", middle)
if match:
tail = match.group()
middle = middle[: match.start()]
# Prefer balancing parentheses in URLs instead of ignoring a
# trailing character.
for start_char, end_char in ("(", ")"), ("<", ">"), ("<", ">"):
start_count = middle.count(start_char)
if start_count <= middle.count(end_char):
# Balanced, or lighter on the left
continue
# Move as many as possible from the tail to balance
for _ in range(min(start_count, tail.count(end_char))):
end_index = tail.index(end_char) + len(end_char)
# Move anything in the tail before the end char too
middle += tail[:end_index]
tail = tail[end_index:]
if _http_re.match(middle):
if middle.startswith("https://") or middle.startswith("http://"):
middle = (
f'<a href="{middle}"{rel_attr}{target_attr}>{trim_url(middle)}</a>'
)
else:
middle = (
f'<a href="https://{middle}"{rel_attr}{target_attr}>'
f"{trim_url(middle)}</a>"
)
elif middle.startswith("mailto:") and _email_re.match(middle[7:]):
middle = f'<a href="{middle}">{middle[7:]}</a>'
elif (
"@" in middle
and not middle.startswith("www.")
and ":" not in middle
and _email_re.match(middle)
):
middle = f'<a href="mailto:{middle}">{middle}</a>'
elif extra_schemes is not None:
for scheme in extra_schemes:
if middle != scheme and middle.startswith(scheme):
middle = f'<a href="{middle}"{rel_attr}{target_attr}>{middle}</a>'
words[i] = f"{head}{middle}{tail}"
return "".join(words)
def generate_lorem_ipsum(
n: int = 5, html: bool = True, min: int = 20, max: int = 100
) -> str:
"""Generate some lorem ipsum for the template."""
from .constants import LOREM_IPSUM_WORDS
words = LOREM_IPSUM_WORDS.split()
result = []
for _ in range(n):
next_capitalized = True
last_comma = last_fullstop = 0
word = None
last = None
p = []
# each paragraph contains out of 20 to 100 words.
for idx, _ in enumerate(range(randrange(min, max))):
while True:
word = choice(words)
if word != last:
last = word
break
if next_capitalized:
word = word.capitalize()
next_capitalized = False
# add commas
if idx - randrange(3, 8) > last_comma:
last_comma = idx
last_fullstop += 2
word += ","
# add end of sentences
if idx - randrange(10, 20) > last_fullstop:
last_comma = last_fullstop = idx
word += "."
next_capitalized = True
p.append(word)
# ensure that the paragraph ends with a dot.
p_str = " ".join(p)
if p_str.endswith(","):
p_str = p_str[:-1] + "."
elif not p_str.endswith("."):
p_str += "."
result.append(p_str)
if not html:
return "\n\n".join(result)
return markupsafe.Markup(
"\n".join(f"<p>{markupsafe.escape(x)}</p>" for x in result)
)
def url_quote(obj: t.Any, charset: str = "utf-8", for_qs: bool = False) -> str:
"""Quote a string for use in a URL using the given charset.
:param obj: String or bytes to quote. Other types are converted to
string then encoded to bytes using the given charset.
:param charset: Encode text to bytes using this charset.
:param for_qs: Quote "/" and use "+" for spaces.
"""
if not isinstance(obj, bytes):
if not isinstance(obj, str):
obj = str(obj)
obj = obj.encode(charset)
safe = b"" if for_qs else b"/"
rv = quote_from_bytes(obj, safe)
if for_qs:
rv = rv.replace("%20", "+")
return rv
@abc.MutableMapping.register
class LRUCache:
"""A simple LRU Cache implementation."""
# this is fast for small capacities (something below 1000) but doesn't
# scale. But as long as it's only used as storage for templates this
# won't do any harm.
def __init__(self, capacity: int) -> None:
self.capacity = capacity
self._mapping: t.Dict[t.Any, t.Any] = {}
self._queue: "te.Deque[t.Any]" = deque()
self._postinit()
def _postinit(self) -> None:
# alias all queue methods for faster lookup
self._popleft = self._queue.popleft
self._pop = self._queue.pop
self._remove = self._queue.remove
self._wlock = Lock()
self._append = self._queue.append
def __getstate__(self) -> t.Mapping[str, t.Any]:
return {
"capacity": self.capacity,
"_mapping": self._mapping,
"_queue": self._queue,
}
def __setstate__(self, d: t.Mapping[str, t.Any]) -> None:
self.__dict__.update(d)
self._postinit()
def __getnewargs__(self) -> t.Tuple:
return (self.capacity,)
def copy(self) -> "LRUCache":
"""Return a shallow copy of the instance."""
rv = self.__class__(self.capacity)
rv._mapping.update(self._mapping)
rv._queue.extend(self._queue)
return rv
def get(self, key: t.Any, default: t.Any = None) -> t.Any:
"""Return an item from the cache dict or `default`"""
try:
return self[key]
except KeyError:
return default
def setdefault(self, key: t.Any, default: t.Any = None) -> t.Any:
"""Set `default` if the key is not in the cache otherwise
leave unchanged. Return the value of this key.
"""
try:
return self[key]
except KeyError:
self[key] = default
return default
def clear(self) -> None:
"""Clear the cache."""
with self._wlock:
self._mapping.clear()
self._queue.clear()
def __contains__(self, key: t.Any) -> bool:
"""Check if a key exists in this cache."""
return key in self._mapping
def __len__(self) -> int:
"""Return the current size of the cache."""
return len(self._mapping)
def __repr__(self) -> str:
return f"<{type(self).__name__} {self._mapping!r}>"
def __getitem__(self, key: t.Any) -> t.Any:
"""Get an item from the cache. Moves the item up so that it has the
highest priority then.
Raise a `KeyError` if it does not exist.
"""
with self._wlock:
rv = self._mapping[key]
if self._queue[-1] != key:
try:
self._remove(key)
except ValueError:
# if something removed the key from the container
# when we read, ignore the ValueError that we would
# get otherwise.
pass
self._append(key)
return rv
def __setitem__(self, key: t.Any, value: t.Any) -> None:
"""Sets the value for an item. Moves the item up so that it
has the highest priority then.
"""
with self._wlock:
if key in self._mapping:
self._remove(key)
elif len(self._mapping) == self.capacity:
del self._mapping[self._popleft()]
self._append(key)
self._mapping[key] = value
def __delitem__(self, key: t.Any) -> None:
"""Remove an item from the cache dict.
Raise a `KeyError` if it does not exist.
"""
with self._wlock:
del self._mapping[key]
try:
self._remove(key)
except ValueError:
pass
def items(self) -> t.Iterable[t.Tuple[t.Any, t.Any]]:
"""Return a list of items."""
result = [(key, self._mapping[key]) for key in list(self._queue)]
result.reverse()
return result
def values(self) -> t.Iterable[t.Any]:
"""Return a list of all values."""
return [x[1] for x in self.items()]
def keys(self) -> t.Iterable[t.Any]:
"""Return a list of all keys ordered by most recent usage."""
return list(self)
def __iter__(self) -> t.Iterator[t.Any]:
return reversed(tuple(self._queue))
def __reversed__(self) -> t.Iterator[t.Any]:
"""Iterate over the keys in the cache dict, oldest items
coming first.
"""
return iter(tuple(self._queue))
__copy__ = copy
def select_autoescape(
enabled_extensions: t.Collection[str] = ("html", "htm", "xml"),
disabled_extensions: t.Collection[str] = (),
default_for_string: bool = True,
default: bool = False,
) -> t.Callable[[t.Optional[str]], bool]:
"""Intelligently sets the initial value of autoescaping based on the
filename of the template. This is the recommended way to configure
autoescaping if you do not want to write a custom function yourself.
If you want to enable it for all templates created from strings or
for all templates with `.html` and `.xml` extensions::
from jinja2 import Environment, select_autoescape
env = Environment(autoescape=select_autoescape(
enabled_extensions=('html', 'xml'),
default_for_string=True,
))
Example configuration to turn it on at all times except if the template
ends with `.txt`::
from jinja2 import Environment, select_autoescape
env = Environment(autoescape=select_autoescape(
disabled_extensions=('txt',),
default_for_string=True,
default=True,
))
The `enabled_extensions` is an iterable of all the extensions that
autoescaping should be enabled for. Likewise `disabled_extensions` is
a list of all templates it should be disabled for. If a template is
loaded from a string then the default from `default_for_string` is used.
If nothing matches then the initial value of autoescaping is set to the
value of `default`.
For security reasons this function operates case insensitive.
.. versionadded:: 2.9
"""
enabled_patterns = tuple(f".{x.lstrip('.').lower()}" for x in enabled_extensions)
disabled_patterns = tuple(f".{x.lstrip('.').lower()}" for x in disabled_extensions)
def autoescape(template_name: t.Optional[str]) -> bool:
if template_name is None:
return default_for_string
template_name = template_name.lower()
if template_name.endswith(enabled_patterns):
return True
if template_name.endswith(disabled_patterns):
return False
return default
return autoescape
def htmlsafe_json_dumps(
obj: t.Any, dumps: t.Optional[t.Callable[..., str]] = None, **kwargs: t.Any
) -> markupsafe.Markup:
"""Serialize an object to a string of JSON with :func:`json.dumps`,
then replace HTML-unsafe characters with Unicode escapes and mark
the result safe with :class:`~markupsafe.Markup`.
This is available in templates as the ``|tojson`` filter.
The following characters are escaped: ``<``, ``>``, ``&``, ``'``.
The returned string is safe to render in HTML documents and
``<script>`` tags. The exception is in HTML attributes that are
double quoted; either use single quotes or the ``|forceescape``
filter.
:param obj: The object to serialize to JSON.
:param dumps: The ``dumps`` function to use. Defaults to
``env.policies["json.dumps_function"]``, which defaults to
:func:`json.dumps`.
:param kwargs: Extra arguments to pass to ``dumps``. Merged onto
``env.policies["json.dumps_kwargs"]``.
.. versionchanged:: 3.0
The ``dumper`` parameter is renamed to ``dumps``.
.. versionadded:: 2.9
"""
if dumps is None:
dumps = json.dumps
return markupsafe.Markup(
dumps(obj, **kwargs)
.replace("<", "\\u003c")
.replace(">", "\\u003e")
.replace("&", "\\u0026")
.replace("'", "\\u0027")
)
class Cycler:
"""Cycle through values by yield them one at a time, then restarting
once the end is reached. Available as ``cycler`` in templates.
Similar to ``loop.cycle``, but can be used outside loops or across
multiple loops. For example, render a list of folders and files in a
list, alternating giving them "odd" and "even" classes.
.. code-block:: html+jinja
{% set row_class = cycler("odd", "even") %}
<ul class="browser">
{% for folder in folders %}
<li class="folder {{ row_class.next() }}">{{ folder }}
{% endfor %}
{% for file in files %}
<li class="file {{ row_class.next() }}">{{ file }}
{% endfor %}
</ul>
:param items: Each positional argument will be yielded in the order
given for each cycle.
.. versionadded:: 2.1
"""
def __init__(self, *items: t.Any) -> None:
if not items:
raise RuntimeError("at least one item has to be provided")
self.items = items
self.pos = 0
def reset(self) -> None:
"""Resets the current item to the first item."""
self.pos = 0
@property
def current(self) -> t.Any:
"""Return the current item. Equivalent to the item that will be
returned next time :meth:`next` is called.
"""
return self.items[self.pos]
def next(self) -> t.Any:
"""Return the current item, then advance :attr:`current` to the
next item.
"""
rv = self.current
self.pos = (self.pos + 1) % len(self.items)
return rv
__next__ = next
class Joiner:
"""A joining helper for templates."""
def __init__(self, sep: str = ", ") -> None:
self.sep = sep
self.used = False
def __call__(self) -> str:
if not self.used:
self.used = True
return ""
return self.sep
class Namespace:
"""A namespace object that can hold arbitrary attributes. It may be
initialized from a dictionary or with keyword arguments."""
def __init__(*args: t.Any, **kwargs: t.Any) -> None: # noqa: B902
self, args = args[0], args[1:]
self.__attrs = dict(*args, **kwargs)
def __getattribute__(self, name: str) -> t.Any:
# __class__ is needed for the awaitable check in async mode
if name in {"_Namespace__attrs", "__class__"}:
return object.__getattribute__(self, name)
try:
return self.__attrs[name]
except KeyError:
raise AttributeError(name) from None
def __setitem__(self, name: str, value: t.Any) -> None:
self.__attrs[name] = value
def __repr__(self) -> str:
return f"<Namespace {self.__attrs!r}>" | PypiClean |
/GeoBases3K-5.0.16.zip/GeoBases3K-5.0.16/GeoBases/DataSources/CheckDataUpdates.sh |
# Moving to the script directory
# We could move to the installation directory if we knew it
cd `dirname $0`
TMP_DIR='/tmp'
TMP_VIEW_1='/tmp/fsdlkghiueevlr_02.csv'
TMP_VIEW_2='/tmp/fsdlkghiueevlr_03.csv'
# By default, we will ask the user permission to replace
# the old file, unless -f option is triggered
FORCE=0
while getopts ":f" opt; do
case $opt in
f)
echo "Forced update! All files will be replaced..." >&2
FORCE=1
;;
\?)
echo "Invalid option: -$OPTARG" >&2
exit 1
;;
esac
done
view() {
if [ -f $1 ] ; then
case $1 in
*.tar.bz2) tar xvjf $1 ;;
*.tar.gz) tar xvzf $1 ;;
*.bz2) bunzip2 $1 ;;
*.rar) unrar x $1 ;;
*.gz) gunzip $1 ;;
*.tar) tar xvf $1 ;;
*.tbz2) tar xvjf $1 ;;
*.tgz) tar xvzf $1 ;;
*.zip) unzip -qca $1 ;;
*.Z) uncompress $1 ;;
*.7z) 7z x $1 ;;
*) cat $1 ;;
esac
else
echo "'$1' is not a valid file"
fi
}
extract_one() {
unzip -q $1 $2
mv $2 $1
}
comment_head() {
sed -i '1s/^/#/g' $1
}
split_fcodes() {
sed -i 's/^\(.\)\./\1\t/g' $1
}
do_a_file() {
local TMP_CSV
local REF_URL="$1"
local LOC_CSV="$2"
local SPECIAL="$3"
echo -e "\n* Comparing local and source:"
echo -e "1. $PWD/$LOC_CSV"
echo -e "2. $REF_URL"
# Downloading
TMP_CSV="$TMP_DIR"/`basename $REF_URL`
wget $REF_URL -O $TMP_CSV -o /dev/null
# Special process
if [ "$SPECIAL" = "1" ]; then
split_fcodes $TMP_CSV
fi
if [ ! -f "$LOC_CSV" ]; then
echo -e "\n* $LOC_CSV does not exist!"
touch "$LOC_CSV"
fi
# Computing diff
view $LOC_CSV > $TMP_VIEW_1
view $TMP_CSV > $TMP_VIEW_2
DIFF=`diff -u $TMP_VIEW_1 $TMP_VIEW_2`
if [ "$DIFF" = "" ]; then
echo "* Nothing to do."
rm -f $TMP_CSV
return 0
fi
echo -e "\n* Unified diff:"
diff -u $TMP_VIEW_1 $TMP_VIEW_2
if [ "$FORCE" = "0" ]; then
echo -n "Replace? [Y/N]: "
read RESPONSE
else
RESPONSE="Y"
fi
if [ "$RESPONSE" = "Y" ]; then
echo "You chose to replace."
mv $TMP_CSV $LOC_CSV
else
echo "You chose not to replace."
rm -f $TMP_CSV
fi
}
# Files
REF_URL_01='https://github.com/opentraveldata/optd/raw/trunk/refdata/ORI/ori_por_public.csv'
REF_URL_02='https://github.com/opentraveldata/optd/raw/trunk/refdata/ORI/ori_por_non_iata.csv'
REF_URL_03='http://redmine.orinet.nce.amadeus.net/projects/oripor/repository/revisions/trunk/raw/admin/ori_por.csv'
REF_URL_04='https://github.com/opentraveldata/optd/raw/trunk/refdata/ORI/ori_airlines.csv'
REF_URL_05='http://download.geonames.org/export/dump/countryInfo.txt'
REF_URL_06='http://download.geonames.org/export/dump/timeZones.txt'
REF_URL_07='http://download.geonames.org/export/dump/iso-languagecodes.txt'
REF_URL_08='http://download.geonames.org/export/dump/featureCodes_en.txt'
REF_URL_09='http://download.geonames.org/export/dump/cities15000.zip'
REF_URL_10='http://download.geonames.org/export/dump/FR.zip'
REF_URL_11='http://download.geonames.org/export/dump/MC.zip'
REF_URL_12='http://download.geonames.org/export/zip/FR.zip'
REF_URL_13='http://download.geonames.org/export/zip/MC.zip'
LOC_CSV_01='Por/Ori/ori_por_public.csv'
LOC_CSV_02='Por/Ori/ori_por_non_iata.csv'
LOC_CSV_03='Por/Ori/ori_por.csv'
LOC_CSV_04='Airlines/ori_airlines.csv'
LOC_CSV_05='Countries/countryInfo.txt'
LOC_CSV_06='TimeZones/timeZones.txt'
LOC_CSV_07='Languages/iso-languagecodes.txt'
LOC_CSV_08='FeatureCodes/featureCodes_en.txt'
LOC_CSV_09='Cities/cities15000.zip'
LOC_CSV_10='Por/GeoNames/FR.zip'
LOC_CSV_11='Por/GeoNames/MC.zip'
LOC_CSV_12='PostalCodes/GeoNames/FR.zip'
LOC_CSV_13='PostalCodes/GeoNames/MC.zip'
#do_a_file REF_URL LOC_CSV
do_a_file "$REF_URL_04" "$LOC_CSV_04"
do_a_file "$REF_URL_05" "$LOC_CSV_05"
do_a_file "$REF_URL_06" "$LOC_CSV_06"
do_a_file "$REF_URL_07" "$LOC_CSV_07"
do_a_file "$REF_URL_08" "$LOC_CSV_08" 1
do_a_file "$REF_URL_09" "$LOC_CSV_09"
do_a_file "$REF_URL_10" "$LOC_CSV_10"
do_a_file "$REF_URL_11" "$LOC_CSV_11"
do_a_file "$REF_URL_12" "$LOC_CSV_12"
do_a_file "$REF_URL_13" "$LOC_CSV_13"
# The longest at the end
do_a_file "$REF_URL_03" "$LOC_CSV_03"
do_a_file "$REF_URL_02" "$LOC_CSV_02"
do_a_file "$REF_URL_01" "$LOC_CSV_01" | PypiClean |
/Cubane-1.0.11.tar.gz/Cubane-1.0.11/cubane/ishop/views.py | from __future__ import unicode_literals
from django.conf import settings
from django.http import Http404, HttpResponse, HttpResponseRedirect, HttpResponsePermanentRedirect
from django.db.models import Q, Max, Min, Prefetch, Case, When
from django.core.urlresolvers import reverse
from django.contrib import messages
from django.contrib.auth import login as auth_login, logout as auth_logout
from django.contrib.auth import update_session_auth_hash
from django.contrib.auth.models import User
from django.shortcuts import get_object_or_404
from django.template.defaultfilters import slugify
from cubane.backend.views import BackendSection
from cubane.cms.views import get_cms_settings, CMSGenericSitemap
from cubane.ishop import get_category_model, get_product_model, get_customer_model, get_order_model
from cubane.ishop.models import ProductBase, ShopEntity, VarietyAssignment, FinanceOption, ProductCategory, RelatedProducts, OrderBase, DeliveryAddress
from cubane.ishop.apps.merchant.orders.views import ProcessingOrderBackendSection, OrderBackendSection
from cubane.ishop.apps.merchant.customers.views import CustomerBackendSection
from cubane.ishop.apps.merchant.categories.views import CategoryBackendSection
from cubane.ishop.apps.merchant.products.views import ProductBackendSection
from cubane.ishop.apps.merchant.varieties.views import VarietyBackendSection
from cubane.ishop.apps.merchant.varieties.views import VarietyOptionBackendSection
from cubane.ishop.apps.merchant.delivery.views import DeliveryBackendSection
from cubane.ishop.apps.merchant.vouchers.views import VoucherBackendSection
from cubane.ishop.apps.merchant.inventory.views import InventoryBackendSection
from cubane.ishop.apps.shop.account.forms import BillingAddressForm, DeliveryAddressForm, ChangePasswordForm, ChangeDetailsForm
from cubane.ishop.apps.shop.forms import CustomerLoginForm, NewCustomerForm, SignupForm, PasswordForgottenForm, ProductOrderByForm
from cubane.ishop.basket import Basket
from cubane.ishop.templatetags.shop_tags import get_shop_price
from cubane.enquiry.views import validate_captcha
from cubane.lib.auth import login_user_without_password
from cubane.lib.module import get_class_from_string
from cubane.lib.parse import parse_int_list
from cubane.lib.paginator import create_paginator
from cubane.lib.fts import fts_query
from cubane.lib.range import get_ranges_for_min_max
from cubane.lib.libjson import to_json
from cubane.lib.app import get_models
from cubane.views import View, ModelView
from mailsnake import MailSnake, ListNotSubscribedException, EmailNotExistsException, ListAlreadySubscribedException
import math
import collections
import random
import datetime
import hashlib
SHOP_CLASS = None
def get_shop_content_backend_sections(backend_section):
return [
CategoryBackendSection(),
ProductBackendSection(),
InventoryBackendSection(),
VarietyBackendSection(),
VarietyOptionBackendSection(),
]
class ShopContentView(ModelView):
"""
Edit CMS entity.
"""
template_path = 'cubane/cms/pages/'
def __init__(self, model, *args, **kwargs):
self.model = model
self.namespace = 'cubane.cms.%s' % \
slugify(model._meta.verbose_name_plural)
super(ShopContentView, self).__init__(*args, **kwargs)
def _get_objects(self, request):
return self.model.objects.all()
class ShopContentEntitySection(BackendSection):
def __init__(self, model, group, *args, **kwargs):
super(ShopContentEntitySection, self).__init__(*args, **kwargs)
self.view = ShopContentView(model)
self.title = model._meta.verbose_name_plural
self.slug = slugify(self.title)
self.group = group
class ShopSalesBackendSection(BackendSection):
"""
Backend section for editing sales-related content, such as
customer and orders.
"""
title = 'Sales'
priority = 5
sections = [
ProcessingOrderBackendSection(),
OrderBackendSection(),
CustomerBackendSection(),
]
class ShopBackendSection(BackendSection):
"""
Backend section for editing shop content, such as categories and products.
"""
title = 'Shop'
sections = [
DeliveryBackendSection(),
VoucherBackendSection(),
]
def __init__(self, *args, **kwargs):
super(ShopBackendSection, self).__init__(*args, **kwargs)
# finance options
if settings.SHOP_LOAN_ENABLED:
from cubane.ishop.apps.merchant.finance.views import FinanceOptionBackendSection
self.sections.append(FinanceOptionBackendSection())
# append all known shop entities
entity_models = []
for model in get_models():
if issubclass(model, ShopEntity):
entity_models.append(model)
# sort by name
entity_models = sorted(entity_models, key=lambda m: m.__name__)
# create sections
self.sections.extend([ShopContentEntitySection(model, model.get_backend_section_group()) for model in entity_models])
def get_shop():
"""
Return the custom CMS implementation that is used to render CMS content.
A site may implement its own CMS by deriving from the CMS base class.
The custom class needs to be setup via settings.CMS, for example
CMS = 'myproject.views.MyCMS'.
"""
global SHOP_CLASS
if not SHOP_CLASS:
if hasattr(settings, 'SHOP') and settings.SHOP:
SHOP_CLASS = get_class_from_string(settings.SHOP)
else:
raise ValueError(
"cubane.cms requires the settings variable 'SHOP' " +
"to be set to the full path of the shop class that represents " +
"the cms system (derived from cubane.ishop.views.Shop), " +
"for example myproject.views.MyProjectShop"
)
# creates a new instance every time...
return SHOP_CLASS()
class Shop(View):
"""
Shop base class. This may be overridden in order to hook custom things
into the pipeline.
"""
@property
def settings(self):
"""
Return the CMS/Shop settings object (cached).
"""
return get_cms_settings()
def get_category_model(self):
"""
Return the model for a shop category.
"""
return get_category_model()
def get_product_model(self):
"""
Return the model for a shop product.
"""
return get_product_model()
def get_customer_model(self):
"""
Return the model for a shop customer.
"""
return get_customer_model()
def get_products(self):
"""
Base queryset for returning products (listing).
"""
products = self.get_product_model().objects.select_related('image', 'category').filter(draft=False)
# select related categories
if settings.SHOP_MULTIPLE_CATEGORIES:
products = products.prefetch_related(
Prefetch('categories', queryset=ProductCategory.objects.select_related('category').order_by('seq'))
)
# category must be enabled
if settings.SHOP_MULTIPLE_CATEGORIES:
# multiple categories -> at least one category must be enabled
products = products.filter(categories__enabled=True).distinct()
else:
# single category -> category must be enabled
products = products.filter(category__enabled=True)
return products
def get_related_products(self):
"""
Return a queryset on which basis related products are fetched.
"""
if settings.SHOP_MULTIPLE_CATEGORIES:
return RelatedProducts.objects.select_related('to_product', 'to_product__image')
else:
return RelatedProducts.objects.select_related('to_product', 'to_product__image', 'to_product__category')
def get_categories(self):
"""
Base queryset for returning all categories.
"""
return self.get_category_model().objects.filter(enabled=True)
def search_products(self, q):
"""
Search for products based on given query q.
"""
products = self.get_products().filter(draft=False)
if settings.SHOP_MULTIPLE_CATEGORIES:
products = products.filter(
categories__enabled=True
).exclude(
categories=None
).distinct()
else:
products = products.filter(
category_id__isnull=False,
category__enabled=True
)
return fts_query(products, 'fts_index', q)
def get_payment_config(self, identifier):
"""
Return the payment configuration details.
"""
if hasattr(settings, 'SHOP_PAYMENT_CONFIG'):
for config in settings.SHOP_PAYMENT_CONFIG:
if config['payment_gateway'] == identifier:
return config
else:
return {}
def get_payment_gateway_by_identifier(self, identifier):
"""
Return the payment gateway based on the given identifier.
"""
# get payment config
config = self.get_payment_config(identifier)
# determine payment system or error
if identifier == settings.GATEWAY_TEST:
from cubane.payment.test_gateway import TestPaymentGateway
return TestPaymentGateway(config, settings.GATEWAY_TEST)
elif identifier == settings.GATEWAY_SAGEPAY:
from cubane.payment.sagepay import SagepayPaymentGateway
return SagepayPaymentGateway(config, settings.GATEWAY_SAGEPAY)
elif identifier == settings.GATEWAY_PAYPAL:
from cubane.payment.paypal import PaypalPaymentGateway
return PaypalPaymentGateway(config, settings.GATEWAY_PAYPAL)
elif identifier == settings.GATEWAY_OMNIPORT:
from cubane.payment.omniport import OmniPortPaymentGateway
return OmniPortPaymentGateway(config, settings.GATEWAY_OMNIPORT)
elif identifier == settings.GATEWAY_STRIPE:
from cubane.payment.stripe_gateway import StripePaymentGateway
return StripePaymentGateway(config, settings.GATEWAY_STRIPE)
elif identifier == settings.GATEWAY_DEKO:
from cubane.payment.deko import DekoPaymentGateway
return DekoPaymentGateway(config, settings.GATEWAY_DEKO)
# TODO: Add payment gateways here
raise ValueError(
'Unknown or unsupported payment gateway %s.' % (
identifier
)
)
def get_default_payment_gateway(self):
"""
Return the default payment gateway.
"""
if settings.SHOP_TEST_MODE:
return settings.GATEWAY_TEST
else:
return settings.SHOP_DEFAULT_PAYMENT_GATEWAY
def get_payment_gateway_for_basket(self, basket):
"""
Return the payment gateway identifier of the payment gateway that
shall be used for a new order that is created from the given basket.
"""
# pay by invoice does not have a payment gateway!
if basket.is_invoice():
return None
if settings.SHOP_TEST_MODE:
return settings.GATEWAY_TEST
if basket.finance_option and settings.SHOP_LOAN_ENABLED:
return settings.SHOP_LOAN_PAYMENT_GATEWAY
else:
return settings.SHOP_DEFAULT_PAYMENT_GATEWAY
def get_products_for_category(self, category):
"""
Return all products of the given category (including all products from any
sub-category and sub-sub category etc).
"""
if settings.SHOP_MULTIPLE_CATEGORIES:
# multiple categories per product
return self.get_products().filter(
Q(categories=category) |
Q(categories__parent=category) |
Q(categories__parent__parent=category) |
Q(categories__parent__parent__parent=category) |
Q(categories__parent__parent__parent__parent=category),
draft=False
)
else:
# single category per product
return self.get_products().filter(
Q(category=category) |
Q(category__parent=category) |
Q(category__parent__parent=category) |
Q(category__parent__parent__parent=category) |
Q(category__parent__parent__parent__parent=category),
draft=False
)
def categories_with_products(self, categories):
"""
Filters out empty categories given a list of categories.
"""
# valid products
products = get_product_model().objects.filter(draft=False)
# filter out categories without products
if settings.SHOP_MULTIPLE_CATEGORIES:
# multiple categories per product
product_categories = ProductCategory.objects.filter(product__in=products)
return categories.filter(
Q(pk__in=product_categories) |
Q(siblings__pk__in=products) |
Q(siblings__siblings__pk__in=products) |
Q(siblings__siblings__siblings__pk__in=products) |
Q(siblings__siblings__siblings__siblings__pk__in=products)
).distinct()
else:
# single category per product
return categories.filter(
Q(products__in=products) |
Q(siblings__products__in=products) |
Q(siblings__siblings__products__in=products) |
Q(siblings__siblings__siblings__products__in=products) |
Q(siblings__siblings__siblings__siblings__products__in=products)
).distinct()
def get_varieties_for_products(self, request, products, current_options, min_max_price):
"""
Return all varieties that apply for the given set of products.
"""
# price filter comes first
price_filter_options = self.get_price_filter_options(products)
prices = self.get_price_filter(min_max_price, price_filter_options)
varieties = collections.OrderedDict([('price', prices['price'])])
# append product varieties and attributes
current = parse_int_list(current_options)
varieties = VarietyAssignment.objects.get_variety_filters_for_products(products, current, varieties)
return varieties
def get_price_filter_options(self, products):
"""
Return list of options for price filtering.
"""
max_price = products.aggregate(Max('price')).get('price__max')
min_price = products.aggregate(Min('price')).get('price__min')
new_options = get_ranges_for_min_max((min_price, max_price), settings.SHOP_PRICE_FILTER_NUMBER_OF_DIVIDERS, settings.SHOP_PRICE_FILTER_DIVDERS)
return new_options
def get_price_filter(self, current_price_options, price_filter_options):
"""
Return a price filter that is used for the filter panel.
"""
price_filter = collections.OrderedDict()
price_filter['price'] = {
'id': 'price',
'display_title': 'Price',
'checked': 0,
'options': [],
'arg': 'min_max_price'
}
# get options for price filtering
for i, option in enumerate(price_filter_options):
title = '%s - %s' % (
get_shop_price(option[0], decimal=False),
get_shop_price(option[1], decimal=False)
)
price_filter['price']['options'].append({
'id': 'min_max_price_%s' % i,
'title': title,
'value': '-'.join(map(str, option))
})
# split current_price_options to check values against
current_price_options = current_price_options.split(',')
# determine which variety group has at least one option checked
for v in price_filter['price']['options']:
if v['value'] in current_price_options:
v['checked'] = 1
else:
v['checked'] = 0
return price_filter
def get_current_variety_filter_url(self, varieties):
"""
Return current_variety_filter as url.
"""
args = {}
for _, v in varieties.items():
for o in v.get('options'):
if o.get('checked'):
arg = v.get('arg')
args.setdefault(arg, [])
args[arg].append(unicode(o.get('id')))
return '&'.join(['%s=%s' % (arg, ','.join(options)) for arg, options in args.items()])
def get_default_order_by(self, request, category=None):
"""
Return the default order for a set of products, optionally for the
given category.
"""
default_order_by = None
if category is not None:
default_order_by = category.ordering_default
if default_order_by is None:
default_order_by = request.settings.ordering_default
return default_order_by
def order_product_listing_by_relavance(self, request, products):
"""
Order given queryset of products based on relevance (seq).
"""
if settings.SHOP_MULTIPLE_CATEGORIES:
# multiple categories per product
pks = [x.get('id') for x in products.order_by(
'category_assignments__category__parent__parent__parent__parent__seq',
'category_assignments__category__parent__parent__parent__seq',
'category_assignments__category__parent__parent__seq',
'category_assignments__category__parent__seq',
'category_assignments__category__seq',
'category_assignments__seq',
'title'
).values('id')]
preserved_order = Case(*[When(pk=pk, then=pos) for pos, pk in enumerate(pks)])
products = products.order_by(preserved_order)
else:
# single category per product
products = products.order_by(
'category__parent__parent__parent__parent__seq',
'category__parent__parent__parent__seq',
'category__parent__parent__seq',
'category__parent__seq',
'category__seq',
'seq',
'title'
)
return products
def order_product_listing(self, request, products, order_by):
"""
Order given queryset of products based on the given order criterium.
"""
if order_by == ProductBase.ORDER_BY_DATE_ADDED:
products = products.order_by('-created_on')
elif order_by == ProductBase.ORDER_BY_PRICE_HIGH_TO_LOW:
products = products.order_by('-price')
elif order_by == ProductBase.ORDER_BY_PRICE_LOW_TO_HIGH:
products = products.order_by('price')
elif order_by == ProductBase.ORDER_BY_RELEVANCE:
products = self.order_product_listing_by_relavance(request, products)
return products
def product_listing(self, request, products, context={}, category=None, has_subcategories=False):
"""
Return a template context for presenting a list of products including filter
varieties.
"""
# current page
try:
page_number = int(request.GET.get('page', '1'))
except ValueError:
page_number = 1
# varieties and variety filter (optional)
if settings.SHOP_VARIETY_FILTER_ENABLED:
products, varieties, has_variety_filtered, variety_filter, active_varieties = \
self.load_listing_varieties_and_filter(request, products)
else:
varieties = None
has_variety_filtered = False
variety_filter = None
active_varieties = None
# determine default order. If we are presenting a category with
# sub-categories, we are looking at an aggregated result and order
# by relevance would not work.
default_order_by = self.get_default_order_by(request, category)
# order by
order_by = request.GET.get('o', default_order_by)
if not order_by and not request.settings.ordering_default and request.settings.ordering_options:
order_by = request.settings.ordering_options[0]
# order products
products = self.order_product_listing(request, products, order_by)
# paginator
products = create_paginator(
request,
products,
page_size=request.settings.products_per_page,
min_page_size=request.settings.products_per_page,
max_page_size=request.settings.max_products_per_page
)
# order by form
order_by_form = ProductOrderByForm(initial={
'sort_by': order_by
})
order_by_form.configure(request, has_subcategories)
# load varieties preview
if settings.SHOP_LOAD_VARIETY_PREVIEW:
has_variety_preview = self.load_variety_preview(products)
else:
has_variety_preview = False
# update context
context.update({
'products': products,
'varieties': varieties,
'has_variety_preview': has_variety_preview,
'has_variety_filtered': has_variety_filtered,
'variety_filter': variety_filter,
'active_varieties': active_varieties,
'order_by_form': order_by_form,
'order_by': order_by,
})
return context
def load_variety_preview(self, products):
"""
Load variety preview information for the given products.
"""
if products.count() > 0:
# load varieties for all products that are configured to be
# previewed in listing...
return VarietyAssignment.objects.inject_product_variety_preview(
products.object_list
)
else:
return False
def load_listing_varieties_and_filter(self, request, products):
"""
Load varieties and listing.
"""
varieties = None
has_variety_filtered = 'v' in request.GET
current_options = request.GET.get('v', '')
min_max_price = request.GET.get('min_max_price', '')
varieties = self.get_varieties_for_products(request, products, current_options, min_max_price)
products = self.get_filtered_products(varieties, products)
variety_filter = self.get_current_variety_filter_url(varieties)
active_varieties = self.get_active_varieties(varieties, self.get_current_variety_filter(varieties))
return products, varieties, has_variety_filtered, variety_filter, active_varieties
def get_filtered_products(self, varieties, products):
"""
Return products based on the given set of products and varieties,
where the list of products is filtered according to given variety
filter options.
"""
for vid, v in varieties.items():
q = Q()
min_max_price_parts = []
for o in v.get('options'):
if o.get('checked'):
if v.get('arg') == 'min_max_price':
for p in o.get('value').split('-'):
min_max_price_parts.append(int(p))
elif v.get('arg') == 'v':
q |= Q(varieties__id=o.get('value'))
if len(min_max_price_parts) > 0:
q &= Q(price__gte=min(min_max_price_parts))
q &= Q(price__lte=max(min_max_price_parts))
products = products.filter(q)
return products
def get_current_variety_filter(self, varieties):
"""
Return the current variety filter based on the given set of varieties.
"""
variety_filter = []
for _, v in varieties.items():
for o in v.get('options'):
if o.get('checked'):
variety_filter.append(unicode(o.get('id')))
return variety_filter
def get_active_varieties(self, varieties, active_options):
"""
Return active varieties based on the given set of varieties.
"""
active_varieties = []
for _, v in varieties.items():
for o in v.get('options'):
if o.get('checked'):
active_varieties.append({
'id': o.get('id'),
'group_title': v.get('display_title'),
'title': o.get('title'),
})
return active_varieties
def get_category_base(self, category_model):
"""
Return the base queryset for fetching categories based on the given
model.
"""
return category_model.objects.select_related('parent')
def get_category_by_pk(self, category_model, pk):
"""
Return category with given pk or throw exception.
"""
return self.get_category_base(category_model).get(enabled=True, pk=pk)
def get_category_or_404(self, pk, slug):
"""
Return the shop category matching given slug/pk or raise 404. If the
slug does not match, return a redirect response to the correct url.
"""
category_model = self.get_category_model()
try:
category = self.get_category_by_pk(category_model, pk)
if category.slug != slug:
return HttpResponsePermanentRedirect(reverse('shop.category', args=[category.slug, category.pk]))
except category_model.DoesNotExist:
raise Http404('Category matching id %s does not exist or category has been disabled.' % pk)
return category
def get_product_base(self, product_model):
"""
Return the base queryset for loading a product.
"""
return product_model.objects.all()
def get_product_or_404(self, pk, slug):
"""
Return the shop product matching given slug/pk or raise 404. If the
slug does not match, return a redirect response to the correct url.
"""
try:
products = self.get_product_base(get_product_model()).filter(draft=False)
if settings.SHOP_MULTIPLE_CATEGORIES:
# multiple categories -> at least one category must be enabled
products = products.filter(categories__enabled=True).prefetch_related(
Prefetch('categories', queryset=ProductCategory.objects.select_related('category').order_by('seq'))
).distinct()
else:
# single category -> category must be enabled
products = products.filter(category__enabled=True)
product = products.get(pk=pk)
if product.slug != slug:
return HttpResponsePermanentRedirect(reverse('shop.product', args=[product.slug, product.pk]))
except get_product_model().DoesNotExist:
raise Http404('Product matching id %s does not exist or product is a draft.' % pk)
# if not connected to category
if settings.SHOP_MULTIPLE_CATEGORIES:
if product.categories.count() == 0:
raise Http404('Product has not been assigned to any category.')
else:
if not product.category:
raise Http404('Product has not been assigned to a category.')
return product
def on_basket_context(self, request, basket, template_context):
"""
Allow for the basket context to be updated before rendering the basket.
"""
return template_context
def on_basket_added(self, request, basket, product, variety_options, quantity):
"""
Called whenever a product has been added to the basket.
"""
pass
def on_customer_login(self, request, basket, user):
"""
Called whenever a customer logged in (either as part of the checkout process
or otherwise)...
"""
pass
def on_customer_logout(self, request, basket):
"""
Called whenever a customer is logged out manually by clicking the
logout button.
"""
pass
def category_page(self, request, category):
"""
Category page.
"""
# get products matching category (or any sub-category)
products = self.get_products_for_category(category).distinct()
subcategories = self.categories_with_products(
category.get_children_queryset().select_related('image').filter(enabled=True)
)
if category.get_parent():
sibling_categories_query = category.get_parent().get_children_queryset()
sibling_categories = self.categories_with_products(sibling_categories_query)
else:
sibling_categories = False
return self.product_listing(request, products, {
'page': category,
'category': category,
'subcategories': subcategories,
'sibling_categories': sibling_categories,
'category_page': True
}, category, subcategories.count() > 0)
def product_page(self, request, product):
"""
Product page.
"""
finance_options = []
if settings.SHOP_LOAN_ENABLED:
# get all finance_options for this product
rates = FinanceOption.objects.filter(enabled=True).order_by('seq')
per_product_finance_option_ids = []
for finance_option in product.finance_options.all():
per_product_finance_option_ids.append(finance_option.pk)
# exclude not assigned finances
rates = list(rates)
for rate in rates:
if rate.per_product:
if rate.pk not in per_product_finance_option_ids:
continue
finance_options.append(rate)
return {
'page': product,
'product': product,
'request_url': request.build_absolute_uri(),
'product_page': True,
'finance_options': finance_options
}
def search_page(self, request):
"""
Search Page.
"""
q = request.GET.get('q', '')
q = q[:40]
products = self.search_products(q)
return self.product_listing(request, products, {
'search': True,
'q': q,
'meta_title': 'Search Result for %s' % q
})
def get_variety_display_title(self, request, option_label, assignment):
"""
Construct variety drop down display title.
"""
price = assignment.price
if price > 0:
option_label = '%s (+%s)' % (
option_label,
get_shop_price(price)
)
return option_label
def account_index(self, request):
profile = get_customer_model().objects.get(user=request.user)
orders = get_order_model().objects.get_processing_orders(user=request.user)[:3]
try:
address = request.user.delivery_addresses.all()[0]
except IndexError:
address = None
return {
'account_section': True,
'profile': profile,
'orders': orders,
'address': address
}
def account_login(self, request):
basket = Basket(request)
checkout = request.GET.get('checkout', False) == '1'
initial = {
'checkout': checkout
}
login_form = CustomerLoginForm(request=request, prefix='customer', initial=initial)
guest_form = NewCustomerForm(prefix='guest', initial=initial)
guest_form.configure(request)
form = None
if request.method == 'POST':
if request.POST.get('password_forgotten', None) != None:
login_form = PasswordForgottenForm(request.POST, prefix='customer')
form = login_form
elif request.POST.get('customer', None) != None:
login_form = CustomerLoginForm(request.POST, request=request, prefix='customer')
form = login_form
else:
guest_form = NewCustomerForm(request.POST, prefix='guest')
guest_form.configure(request)
form = guest_form
if form != None and form.is_valid():
if isinstance(form, PasswordForgottenForm):
email = form.cleaned_data.get('email')
checkout = form.cleaned_data.get('checkout', '0')
if request.context.password_forgotten(request, email):
messages.success(request, 'Your new password has been sent to \'%s\'.' % email)
else:
messages.error(request, 'We were not able to recognise the email address \'%s\'. Please make sure that you entered your email address correctly.' % email)
return HttpResponseRedirect(reverse('shop.account.login') + '?checkout=%s' % checkout)
elif isinstance(form, CustomerLoginForm):
user = form.get_user()
checkout = form.cleaned_data.get('checkout', '0')
if user.is_authenticated():
auth_login(request, user)
if checkout:
response = HttpResponseRedirect(reverse('shop.order.delivery'))
else:
response = HttpResponseRedirect(reverse('shop.account.index'))
response.set_cookie('cubaneShopLogin', '1')
# hook
shop = get_shop()
shop.on_customer_login(request, basket, user)
return response
else:
checkout = form.cleaned_data.get('checkout', '0')
if request.user.is_authenticated():
auth_logout(request)
# hook
shop = get_shop()
shop.on_customer_logout(request, basket)
basket.save()
request.session[settings.SIGNUP_EMAIL_SESSION_VAR] = form.cleaned_data['email']
return HttpResponseRedirect(reverse('shop.account.signup') + '?checkout=%s' % checkout)
request.session.set_test_cookie()
return {
'account_section': True,
'login_form': login_form,
'guest_form': guest_form,
}
def account_orders(self, request, status):
order_model = get_order_model()
if status == 'processing':
orders = order_model.objects.get_processing_orders(user=request.user)
else:
orders = order_model.objects.get_complete_orders(user=request.user)
return {
'account_section': True,
'orders': orders,
'status': status,
}
def account_details(self, request):
if request.method == 'POST':
form = ChangeDetailsForm(request.POST)
else:
form = ChangeDetailsForm()
form.configure(request)
if form.is_valid():
data = form.cleaned_data
u = request.user
p = get_customer_model().objects.get(user=u)
if request.settings.mailchimp_enabled:
# subscription details
ms = MailSnake(request.settings.mailchimp_api)
person_name = [data.get('first_name'), data.get('last_name')]
merge_vars = {'FNAME': ' '.join(person_name)}
# unsubscribe if email changed or we no longer want to be subscribed
if 'email_address' in form.changed_data or ('newsletter' in form.changed_data and not data.get('newsletter')):
try:
ms.listUnsubscribe(id=request.settings.mailchimp_list_id, email_address=u.email)
except:
pass
# subscribe if newsletter subscription changed or email was changed
if ('email_address' in form.changed_data or 'newsletter' in form.changed_data) and data.get('newsletter'):
try:
ms.listSubscribe(id=request.settings.mailchimp_list_id, email_address=data.get('email_address'), merge_vars=merge_vars)
except:
pass
# update newletter state in profile
p.newsletter = data.get('newsletter')
# update personal details on user record
u.first_name = data.get('first_name')
u.last_name = data.get('last_name')
u.email = data.get('email_address')
u.save()
# update personal details on profile record
p.title = data.get('title')
p.first_name = data.get('first_name')
p.last_name = data.get('last_name')
p.telephone = data.get('phone')
p.email = data.get('email_address')
p.save()
# success message and redirect to dashboard
messages.success(request, 'Your details have been changed.')
return HttpResponseRedirect(reverse('shop.account.index'))
return {
'account_section': True,
'form': form
}
def account_billing(self, request):
if request.method == 'POST':
form = BillingAddressForm(request.POST)
else:
form = BillingAddressForm()
form.configure(request)
if form.is_valid():
data = form.cleaned_data
request.user.first_name = data.get('first_name')
request.user.last_name = data.get('last_name')
request.user.save()
profile = get_customer_model().objects.get(user=request.user)
profile.title = data.get('title')
profile.company = data.get('company')
profile.address1 = data.get('address1')
profile.address2 = data.get('address2')
profile.address3 = data.get('address3')
profile.city = data.get('city')
profile.county = data.get('county')
profile.postcode = data.get('postcode')
profile.country = data.get('country')
profile.save()
messages.success(request, 'Your delivery address has been changed.')
return HttpResponseRedirect(reverse('shop.account.index'))
return {
'account_section': True,
'form': form
}
def account_delivery(self, request):
addresses = request.user.delivery_addresses.all()
return {
'account_section': True,
'addresses': addresses
}
def account_delivery_address(self, request, pk=None):
if pk:
address = get_object_or_404(DeliveryAddress, pk=pk, user=request.user)
initial = {
'name': address.name,
'company': address.company,
'address1': address.address1,
'address2': address.address2,
'address3': address.address3,
'city': address.city,
'county': address.county,
'postcode': address.postcode,
'country': address.country
}
else:
address = DeliveryAddress()
initial = {}
if request.method == 'POST':
form = DeliveryAddressForm(request.POST)
else:
form = DeliveryAddressForm(initial=initial)
form.configure(request)
if form.is_valid():
d = form.cleaned_data
address.user = request.user
address.name = d.get('name')
address.title = d.get('title')
address.company = d.get('company')
address.address1 = d.get('address1')
address.address2 = d.get('address2')
address.address3 = d.get('address3')
address.city = d.get('city')
address.county = d.get('county')
address.postcode = d.get('postcode')
address.country = d.get('country')
address.save()
if pk:
messages.success(request, 'Your delivery address has been changed.')
else:
messages.success(request, 'A new delivery address has been created.')
return HttpResponseRedirect(reverse('shop.account.delivery'))
return {
'account_section': True,
'form': form,
'address': address,
'edit': pk != None
}
def account_delete_delivery_address(self, request, pk):
address = get_object_or_404(DeliveryAddress, pk=pk, user=request.user)
title = unicode(address)
address.delete()
messages.success(request, "Your delivery address '%s' has been deleted." % title)
return HttpResponseRedirect(reverse('shop.account.delivery'))
def account_password(self, request):
if request.method == 'POST':
form = ChangePasswordForm(request.POST)
else:
form = ChangePasswordForm()
form.configure(request)
if form.is_valid():
request.user.set_password(form.cleaned_data.get('password'))
request.user.save()
update_session_auth_hash(request, request.user)
messages.success(request, 'Your password has been changed.')
return HttpResponseRedirect(reverse('shop.account.index'))
return {
'account_section': True,
'form': form
}
def account_logout(self, request):
basket = Basket(request)
auth_logout(request)
# hook
shop = get_shop()
shop.on_customer_logout(request, basket)
basket.save()
response = HttpResponseRedirect(reverse('shop.account.index'))
response.set_cookie('cubaneShopLogin', '0')
return response
def get_account_signup_form(self):
return SignupForm
def account_signup(self, request):
email = request.session.get(settings.SIGNUP_EMAIL_SESSION_VAR, None)
if email == '':
raise Http404('Missing email address.')
checkout = request.GET.get('checkout', False) == '1'
form_class = self.get_account_signup_form()
if request.method == 'POST':
form = form_class(request.POST, initial={'checkout': checkout})
else:
form = form_class(initial={
'email': email,
'checkout': checkout
})
form.configure(request)
if request.method == 'POST':
captcha = validate_captcha(request)
if not captcha:
messages.add_message(request, messages.ERROR,
'Please tick the checkbox at the bottom of the form to prevent SPAM.'
)
if form.is_valid() and captcha:
d = form.cleaned_data
# create user account
md5 = hashlib.md5()
md5.update(d['email'])
user = User.objects.create(
username = md5.hexdigest()[:30],
first_name = d['first_name'],
last_name = d['last_name'],
email = d['email']
)
# replace username with user id, set password and add user to list of customers
user.username = unicode(user.id)
user.set_password(d['password'])
user.save()
# create customer
newsletter = 0
if request.settings.mailchimp_enabled:
if d['newsletter']:
person_name = (d['first_name'],d['last_name'])
merge_vars = {'FNAME': " ".join(person_name)}
ms = MailSnake(request.settings.mailchimp_api)
try:
ms.listSubscribe(id=request.settings.mailchimp_list_id, email_address=d['email'], merge_vars=merge_vars)
except:
pass
newsletter = d['newsletter']
customer = get_customer_model().objects.create(
user=user,
first_name = d['first_name'],
last_name = d['last_name'],
email=d['email'],
title=d['title'],
address1='',
city='',
county='',
postcode='',
country=d['country'],
telephone='',
newsletter=newsletter
)
# log customer in
login_user_without_password(request, user)
# go to dashboard or deliver page
messages.success(request, 'Thank you for signing up with us.')
if d['checkout']:
response = HttpResponseRedirect(reverse('shop.order.delivery'))
else:
response = HttpResponseRedirect(reverse('shop.account.index'))
response.set_cookie('cubaneShopLogin', '1')
return response
return {
'account_section': True,
'is_signup_page': True,
'form': form
}
class ShopCategoriesSitemap(CMSGenericSitemap):
"""
Shop category pages sitemap.
"""
def items(self):
return get_category_model().objects.exclude(enabled=False)
class ShopProductsSitemap(CMSGenericSitemap):
"""
Shop product pages sitemap.
"""
def items(self):
return get_product_model().objects.exclude(category__enabled=False).exclude(draft=True).exclude(category_id__isnull=True)
class CMSExtensions(object):
"""
Extends the CMS class with shop-specific operations and extending other
aspects, such as sitemaps.
"""
def get_sitemaps(self):
"""
Add shop-specific content to sitemap.
"""
_sitemaps = super(CMSExtensions, self).get_sitemaps()
# shop categories and products
_sitemaps[slugify(get_category_model()._meta.verbose_name)] = ShopCategoriesSitemap(self)
_sitemaps[slugify(get_product_model()._meta.verbose_name)] = ShopProductsSitemap(self)
return _sitemaps
def on_generate_cache(self, generator, verbose=False):
"""
Override: Add shop content to cache system.
"""
super(CMSExtensions, self).on_generate_cache(generator, verbose)
shop = get_shop()
for category in shop.get_categories():
if generator.quit: break
generator.process_page_by_url('shop.category', args=[category.slug, category.pk], verbose=verbose)
for product in shop.get_products():
if generator.quit: break
generator.process_page_by_url('shop.product', args=[product.slug, product.pk], verbose=verbose)
def on_object_links(self, links):
"""
Override: Support for link-able categories and products.
"""
shop = get_shop()
links.add(get_category_model(), shop.get_categories())
links.add(get_product_model(), shop.get_products()) | PypiClean |
/HavNegpy-1.2.tar.gz/HavNegpy-1.2/docs/_build/html/_build/doctrees/nbsphinx/hn_module_tutorial.ipynb | # Tutorial for the HN module of HavNegpy package
```
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import os
import HavNegpy as dd
%matplotlib qt
os.chdir(r'M:\Marshall_Data\mohamed_data\mohamed_data\n44')
def create_dataframe(f):
col_names = ['Freq', 'T', 'Eps1', 'Eps2']
#f = input(str("Enter the filename:"))
df = pd.read_csv(f, sep=r"\s+",index_col=False,usecols = [0,1,2,3],names=col_names,header=None,skiprows=4,encoding='unicode_escape',engine='python')
col1 = ['log f']
for start in range(0, len(df), 63):
name = df['T'][start]
#print(name)
col1.append(name)
df2 = pd.DataFrame()
f1 = df['Freq'][0:63].values
x1 = np.log10((f1))
e = pd.DataFrame(x1)
df2['log f'] = pd.concat([e],axis=1,ignore_index=True)
global Cooling,Heating
for start in range(0, len(df), 63):
f = df['Eps2'][start:start+63].values
ep = np.log10(f)
d = pd.DataFrame(ep)
df2[start] = pd.concat([d],axis=1,ignore_index=True)
df2.columns = col1
'''
a = int(len(col1)/3)
b = 2*a
c = int(len(col1)) - b
Heating1 = df2.iloc[8:,0:a+1]
Cooling = df2.iloc[8:,a+1:b+1]
Heating2 = df2.iloc[8:,b+1:]
heat1_col = col1[0:a+1]
cool_col = col1[a+1:b+1]
heat2_col = col1[b+1:]
Cooling.columns = cool_col
Heating1.columns = heat1_col
Heating2.columns = heat2_col
f2 = df['Freq'][8:59].values
x2 = np.log10((f2))
Cooling['Freq'] = x2
Heating1['Freq'] = x2
Heating2['Freq'] = x2
'''
Cooling = df2.iloc[:,0:25]
Heating = df2.iloc[:,25:]
return df,df2,Cooling,Heating #Heating2
df,df2,cool,heat = create_dataframe('EPS.TXT')
x,y = df2['log f'][9:], heat[40][9:]
plt.figure()
plt.scatter(x,y,label='data for fitting')
plt.xlabel('log f [Hz]')
plt.ylabel('log $\epsilon$"')
plt.legend()
plt.title('Example for HN fitting')
```
image of the plot we are using in this tutorial
```
''' instantiate the HN module from HavgNegpy'''
hn = dd.HN()
''' select range to perform hn fitting'''
''' the select range functions pops in a separate window and allows you two clicks to select the region of interest (ROI)'''
''' In this tutorial, I'll plot the ROI and append as an image in the next cell'''
x1,y1 = hn.select_range(x,y)
''' view the data from select range'''
plt.scatter(x1,y1,label = 'Data for fitting')
plt.xlabel('log f [Hz]')
plt.ylabel('log $\epsilon$"')
plt.legend()
plt.title('ROI selected from HN module')
```
image of the ROI from HN module
```
''' dump the initial guess parameters using dump parameters method (varies for each fn), which dumps the parameters in a json file'''
''' this is required before performing the first fitting as it takes the initial guess from the json file created'''
hn.dump_parameters_hn()
''' view the initial guess for the ROI using initial_view method'''
''' I'll append the image in the next cell'''
hn.initial_view_hn(x1,y1)
```
image of the initial guess
```
''' pefrorm least squares fitting'''
''' The image of the curve fit is added in the next cell '''
hn.fit(x1,y1)
```
Example of the fit performed using single HN function
the procedure is similar for double HN and HN with conductivity
```
'''create a file to save fit results using create_analysis file method'''
''' before saving fit results an analysis file has to be created '''
hn.create_analysis_file()
''' save the fit results using save_fit method of the corresponding fit function'''
''' takes one argument, read more on the documentation'''
hn.save_fit_hn(1)
```
| PypiClean |
/Flask-Cache2-0.13.1.tar.gz/Flask-Cache2-0.13.1/flask_cache/__init__.py | __version__ = '0.13'
__versionfull__ = __version__
import base64
import functools
import hashlib
import inspect
import logging
import string
import uuid
import warnings
from werkzeug import import_string
from flask import request, current_app
from ._compat import PY2
logger = logging.getLogger(__name__)
TEMPLATE_FRAGMENT_KEY_TEMPLATE = '_template_fragment_cache_%s%s'
# Used to remove control characters and whitespace from cache keys.
valid_chars = set(string.ascii_letters + string.digits + '_.')
delchars = ''.join(c for c in map(chr, range(256)) if c not in valid_chars)
if PY2:
null_control = (None, delchars)
else:
null_control = (dict((k,None) for k in delchars),)
def function_namespace(f, args=None):
"""
Attempts to returns unique namespace for function
"""
m_args = inspect.getargspec(f)[0]
instance_token = None
instance_self = getattr(f, '__self__', None)
if instance_self \
and not inspect.isclass(instance_self):
instance_token = repr(f.__self__)
elif m_args \
and m_args[0] == 'self' \
and args:
instance_token = repr(args[0])
module = f.__module__
if hasattr(f, '__qualname__'):
name = f.__qualname__
else:
klass = getattr(f, '__self__', None)
if klass \
and not inspect.isclass(klass):
klass = klass.__class__
if not klass:
klass = getattr(f, 'im_class', None)
if not klass:
if m_args and args:
if m_args[0] == 'self':
klass = args[0].__class__
elif m_args[0] == 'cls':
klass = args[0]
if klass:
name = klass.__name__ + '.' + f.__name__
else:
name = f.__name__
ns = '.'.join((module, name))
ns = ns.translate(*null_control)
if instance_token:
ins = '.'.join((module, name, instance_token))
ins = ins.translate(*null_control)
else:
ins = None
return ns, ins
def make_template_fragment_key(fragment_name, vary_on=[]):
"""
Make a cache key for a specific fragment name
"""
if vary_on:
fragment_name = "%s_" % fragment_name
return TEMPLATE_FRAGMENT_KEY_TEMPLATE % (fragment_name, "_".join(vary_on))
#: Cache Object
################
class Cache(object):
"""
This class is used to control the cache objects.
"""
def __init__(self, app=None, with_jinja2_ext=True, config=None):
if not (config is None or isinstance(config, dict)):
raise ValueError("`config` must be an instance of dict or None")
self.with_jinja2_ext = with_jinja2_ext
self.config = config
self.app = app
if app is not None:
self.init_app(app, config)
def init_app(self, app, config=None):
"This is used to initialize cache with your app object"
if not (config is None or isinstance(config, dict)):
raise ValueError("`config` must be an instance of dict or None")
#: Ref PR #44.
#: Do not set self.app in the case a single instance of the Cache
#: object is being used for multiple app instances.
#: Example use case would be Cache shipped as part of a blueprint
#: or utility library.
base_config = app.config.copy()
if self.config:
base_config.update(self.config)
if config:
base_config.update(config)
config = base_config
config.setdefault('CACHE_DEFAULT_TIMEOUT', 300)
config.setdefault('CACHE_THRESHOLD', 500)
config.setdefault('CACHE_KEY_PREFIX', 'flask_cache_')
config.setdefault('CACHE_MEMCACHED_SERVERS', None)
config.setdefault('CACHE_DIR', None)
config.setdefault('CACHE_OPTIONS', None)
config.setdefault('CACHE_ARGS', [])
config.setdefault('CACHE_TYPE', 'null')
config.setdefault('CACHE_NO_NULL_WARNING', False)
if config['CACHE_TYPE'] == 'null' and not config['CACHE_NO_NULL_WARNING']:
warnings.warn("Flask-Cache: CACHE_TYPE is set to null, "
"caching is effectively disabled.")
if self.with_jinja2_ext:
from .jinja2ext import CacheExtension, JINJA_CACHE_ATTR_NAME
setattr(app.jinja_env, JINJA_CACHE_ATTR_NAME, self)
app.jinja_env.add_extension(CacheExtension)
self._set_cache(app, config)
def _set_cache(self, app, config):
import_me = config['CACHE_TYPE']
if '.' not in import_me:
from . import backends
try:
cache_obj = getattr(backends, import_me)
except AttributeError:
raise ImportError("%s is not a valid FlaskCache backend" % (
import_me))
else:
cache_obj = import_string(import_me)
cache_args = config['CACHE_ARGS'][:]
cache_options = {'default_timeout': config['CACHE_DEFAULT_TIMEOUT']}
if config['CACHE_OPTIONS']:
cache_options.update(config['CACHE_OPTIONS'])
if not hasattr(app, 'extensions'):
app.extensions = {}
app.extensions.setdefault('cache', {})
app.extensions['cache'][self] = cache_obj(
app, config, cache_args, cache_options)
@property
def cache(self):
app = self.app or current_app
return app.extensions['cache'][self]
def get(self, *args, **kwargs):
"Proxy function for internal cache object."
return self.cache.get(*args, **kwargs)
def set(self, *args, **kwargs):
"Proxy function for internal cache object."
self.cache.set(*args, **kwargs)
def add(self, *args, **kwargs):
"Proxy function for internal cache object."
self.cache.add(*args, **kwargs)
def delete(self, *args, **kwargs):
"Proxy function for internal cache object."
self.cache.delete(*args, **kwargs)
def delete_many(self, *args, **kwargs):
"Proxy function for internal cache object."
self.cache.delete_many(*args, **kwargs)
def clear(self):
"Proxy function for internal cache object."
self.cache.clear()
def get_many(self, *args, **kwargs):
"Proxy function for internal cache object."
return self.cache.get_many(*args, **kwargs)
def set_many(self, *args, **kwargs):
"Proxy function for internal cache object."
self.cache.set_many(*args, **kwargs)
def cached(self, timeout=None, key_prefix='view/%s', unless=None):
"""
Decorator. Use this to cache a function. By default the cache key
is `view/request.path`. You are able to use this decorator with any
function by changing the `key_prefix`. If the token `%s` is located
within the `key_prefix` then it will replace that with `request.path`
Example::
# An example view function
@cache.cached(timeout=50)
def big_foo():
return big_bar_calc()
# An example misc function to cache.
@cache.cached(key_prefix='MyCachedList')
def get_list():
return [random.randrange(0, 1) for i in range(50000)]
my_list = get_list()
.. note::
You MUST have a request context to actually called any functions
that are cached.
.. versionadded:: 0.4
The returned decorated function now has three function attributes
assigned to it. These attributes are readable/writable.
**uncached**
The original undecorated function
**cache_timeout**
The cache timeout value for this function. For a custom value
to take affect, this must be set before the function is called.
**make_cache_key**
A function used in generating the cache_key used.
:param timeout: Default None. If set to an integer, will cache for that
amount of time. Unit of time is in seconds.
:param key_prefix: Default 'view/%(request.path)s'. Beginning key to .
use for the cache key.
.. versionadded:: 0.3.4
Can optionally be a callable which takes no arguments
but returns a string that will be used as the cache_key.
:param unless: Default None. Cache will *always* execute the caching
facilities unless this callable is true.
This will bypass the caching entirely.
"""
def decorator(f):
@functools.wraps(f)
def decorated_function(*args, **kwargs):
#: Bypass the cache entirely.
if callable(unless) and unless() is True:
return f(*args, **kwargs)
try:
cache_key = decorated_function.make_cache_key(*args, **kwargs)
rv = self.cache.get(cache_key)
except Exception:
if current_app.debug:
raise
logger.exception("Exception possibly due to cache backend.")
return f(*args, **kwargs)
if rv is None:
rv = f(*args, **kwargs)
try:
self.cache.set(cache_key, rv,
timeout=decorated_function.cache_timeout)
except Exception:
if current_app.debug:
raise
logger.exception("Exception possibly due to cache backend.")
return f(*args, **kwargs)
return rv
def make_cache_key(*args, **kwargs):
if callable(key_prefix):
cache_key = key_prefix()
elif '%s' in key_prefix:
cache_key = key_prefix % request.path
else:
cache_key = key_prefix
return cache_key
decorated_function.uncached = f
decorated_function.cache_timeout = timeout
decorated_function.make_cache_key = make_cache_key
return decorated_function
return decorator
def _memvname(self, funcname):
return funcname + '_memver'
def _memoize_make_version_hash(self):
return base64.b64encode(uuid.uuid4().bytes)[:6].decode('utf-8')
def _memoize_version(self, f, args=None,
reset=False, delete=False, timeout=None):
"""
Updates the hash version associated with a memoized function or method.
"""
fname, instance_fname = function_namespace(f, args=args)
version_key = self._memvname(fname)
fetch_keys = [version_key]
if instance_fname:
instance_version_key = self._memvname(instance_fname)
fetch_keys.append(instance_version_key)
# Only delete the per-instance version key or per-function version
# key but not both.
if delete:
self.cache.delete_many(fetch_keys[-1])
return fname, None
version_data_list = list(self.cache.get_many(*fetch_keys))
dirty = False
if version_data_list[0] is None:
version_data_list[0] = self._memoize_make_version_hash()
dirty = True
if instance_fname and version_data_list[1] is None:
version_data_list[1] = self._memoize_make_version_hash()
dirty = True
# Only reset the per-instance version or the per-function version
# but not both.
if reset:
fetch_keys = fetch_keys[-1:]
version_data_list = [self._memoize_make_version_hash()]
dirty = True
if dirty:
self.cache.set_many(dict(zip(fetch_keys, version_data_list)),
timeout=timeout)
return fname, ''.join(version_data_list)
def _memoize_make_cache_key(self, make_name=None, timeout=None):
"""
Function used to create the cache_key for memoized functions.
"""
def make_cache_key(f, *args, **kwargs):
_timeout = getattr(timeout, 'cache_timeout', timeout)
fname, version_data = self._memoize_version(f, args=args,
timeout=_timeout)
#: this should have to be after version_data, so that it
#: does not break the delete_memoized functionality.
if callable(make_name):
altfname = make_name(fname)
else:
altfname = fname
if callable(f):
keyargs, keykwargs = self._memoize_kwargs_to_args(f,
*args,
**kwargs)
else:
keyargs, keykwargs = args, kwargs
try:
updated = "{0}{1}{2}".format(altfname, keyargs, keykwargs)
except AttributeError:
updated = "%s%s%s" % (altfname, keyargs, keykwargs)
cache_key = hashlib.md5()
cache_key.update(updated.encode('utf-8'))
cache_key = base64.b64encode(cache_key.digest())[:16]
cache_key = cache_key.decode('utf-8')
cache_key += version_data
return cache_key
return make_cache_key
def _memoize_kwargs_to_args(self, f, *args, **kwargs):
#: Inspect the arguments to the function
#: This allows the memoization to be the same
#: whether the function was called with
#: 1, b=2 is equivilant to a=1, b=2, etc.
new_args = []
arg_num = 0
argspec = inspect.getargspec(f)
args_len = len(argspec.args)
for i in range(args_len):
if i == 0 and argspec.args[i] in ('self', 'cls'):
#: use the repr of the class instance
#: this supports instance methods for
#: the memoized functions, giving more
#: flexibility to developers
arg = repr(args[0])
arg_num += 1
elif argspec.args[i] in kwargs:
arg = kwargs[argspec.args[i]]
elif arg_num < len(args):
arg = args[arg_num]
arg_num += 1
elif abs(i-args_len) <= len(argspec.defaults):
arg = argspec.defaults[i-args_len]
arg_num += 1
else:
arg = None
arg_num += 1
#: Attempt to convert all arguments to a
#: hash/id or a representation?
#: Not sure if this is necessary, since
#: using objects as keys gets tricky quickly.
# if hasattr(arg, '__class__'):
# try:
# arg = hash(arg)
# except:
# arg = repr(arg)
#: Or what about a special __cacherepr__ function
#: on an object, this allows objects to act normal
#: upon inspection, yet they can define a representation
#: that can be used to make the object unique in the
#: cache key. Given that a case comes across that
#: an object "must" be used as a cache key
# if hasattr(arg, '__cacherepr__'):
# arg = arg.__cacherepr__
new_args.append(arg)
return tuple(new_args), {}
def memoize(self, timeout=None, make_name=None, unless=None):
"""
Use this to cache the result of a function, taking its arguments into
account in the cache key.
Information on
`Memoization <http://en.wikipedia.org/wiki/Memoization>`_.
Example::
@cache.memoize(timeout=50)
def big_foo(a, b):
return a + b + random.randrange(0, 1000)
.. code-block:: pycon
>>> big_foo(5, 2)
753
>>> big_foo(5, 3)
234
>>> big_foo(5, 2)
753
.. versionadded:: 0.4
The returned decorated function now has three function attributes
assigned to it.
**uncached**
The original undecorated function. readable only
**cache_timeout**
The cache timeout value for this function. For a custom value
to take affect, this must be set before the function is called.
readable and writable
**make_cache_key**
A function used in generating the cache_key used.
readable and writable
:param timeout: Default None. If set to an integer, will cache for that
amount of time. Unit of time is in seconds.
:param make_name: Default None. If set this is a function that accepts
a single argument, the function name, and returns a
new string to be used as the function name. If not set
then the function name is used.
:param unless: Default None. Cache will *always* execute the caching
facilities unelss this callable is true.
This will bypass the caching entirely.
.. versionadded:: 0.5
params ``make_name``, ``unless``
"""
def memoize(f):
@functools.wraps(f)
def decorated_function(*args, **kwargs):
#: bypass cache
if callable(unless) and unless() is True:
return f(*args, **kwargs)
try:
cache_key = decorated_function.make_cache_key(f, *args, **kwargs)
rv = self.cache.get(cache_key)
except Exception:
if current_app.debug:
raise
logger.exception("Exception possibly due to cache backend.")
return f(*args, **kwargs)
if rv is None:
rv = f(*args, **kwargs)
try:
self.cache.set(cache_key, rv,
timeout=decorated_function.cache_timeout)
except Exception:
if current_app.debug:
raise
logger.exception("Exception possibly due to cache backend.")
return rv
decorated_function.uncached = f
decorated_function.cache_timeout = timeout
decorated_function.make_cache_key = self._memoize_make_cache_key(
make_name, decorated_function)
decorated_function.delete_memoized = lambda: self.delete_memoized(f)
return decorated_function
return memoize
def delete_memoized(self, f, *args, **kwargs):
"""
Deletes the specified functions caches, based by given parameters.
If parameters are given, only the functions that were memoized with them
will be erased. Otherwise all versions of the caches will be forgotten.
Example::
@cache.memoize(50)
def random_func():
return random.randrange(1, 50)
@cache.memoize()
def param_func(a, b):
return a+b+random.randrange(1, 50)
.. code-block:: pycon
>>> random_func()
43
>>> random_func()
43
>>> cache.delete_memoized('random_func')
>>> random_func()
16
>>> param_func(1, 2)
32
>>> param_func(1, 2)
32
>>> param_func(2, 2)
47
>>> cache.delete_memoized('param_func', 1, 2)
>>> param_func(1, 2)
13
>>> param_func(2, 2)
47
Delete memoized is also smart about instance methods vs class methods.
When passing a instancemethod, it will only clear the cache related
to that instance of that object. (object uniqueness can be overridden
by defining the __repr__ method, such as user id).
When passing a classmethod, it will clear all caches related across
all instances of that class.
Example::
class Adder(object):
@cache.memoize()
def add(self, b):
return b + random.random()
.. code-block:: pycon
>>> adder1 = Adder()
>>> adder2 = Adder()
>>> adder1.add(3)
3.23214234
>>> adder2.add(3)
3.60898509
>>> cache.delete_memoized(adder.add)
>>> adder1.add(3)
3.01348673
>>> adder2.add(3)
3.60898509
>>> cache.delete_memoized(Adder.add)
>>> adder1.add(3)
3.53235667
>>> adder2.add(3)
3.72341788
:param fname: Name of the memoized function, or a reference to the function.
:param \*args: A list of positional parameters used with memoized function.
:param \**kwargs: A dict of named parameters used with memoized function.
.. note::
Flask-Cache uses inspect to order kwargs into positional args when
the function is memoized. If you pass a function reference into ``fname``
instead of the function name, Flask-Cache will be able to place
the args/kwargs in the proper order, and delete the positional cache.
However, if ``delete_memoized`` is just called with the name of the
function, be sure to pass in potential arguments in the same order
as defined in your function as args only, otherwise Flask-Cache
will not be able to compute the same cache key.
.. note::
Flask-Cache maintains an internal random version hash for the function.
Using delete_memoized will only swap out the version hash, causing
the memoize function to recompute results and put them into another key.
This leaves any computed caches for this memoized function within the
caching backend.
It is recommended to use a very high timeout with memoize if using
this function, so that when the version has is swapped, the old cached
results would eventually be reclaimed by the caching backend.
"""
if not callable(f):
raise DeprecationWarning("Deleting messages by relative name is no longer"
" reliable, please switch to a function reference")
try:
if not args and not kwargs:
self._memoize_version(f, reset=True)
else:
cache_key = f.make_cache_key(f.uncached, *args, **kwargs)
self.cache.delete(cache_key)
except Exception:
if current_app.debug:
raise
logger.exception("Exception possibly due to cache backend.")
def delete_memoized_verhash(self, f, *args):
"""
Delete the version hash associated with the function.
..warning::
Performing this operation could leave keys behind that have
been created with this version hash. It is up to the application
to make sure that all keys that may have been created with this
version hash at least have timeouts so they will not sit orphaned
in the cache backend.
"""
if not callable(f):
raise DeprecationWarning("Deleting messages by relative name is no longer"
" reliable, please use a function reference")
try:
self._memoize_version(f, delete=True)
except Exception:
if current_app.debug:
raise
logger.exception("Exception possibly due to cache backend.") | PypiClean |
/MergePythonSDK.ticketing-2.2.2-py3-none-any.whl/MergePythonSDK.ticketing-2.2.2.dist-info/LICENSE.md | _Last updated: April 21, 2022_
**Merge SDK & Code Snippets License**
Merge makes available to Customers various software development kits ("**SDKs**") and code snippets ("**Snippets**") (together, the "**Merge Assets**") to assist with Merge Integrations and making connections to their Customer Application. Merge Assets are deemed Software under the MSA (defined below). All terms applicable to Software under the MSA apply with equal force and effect to the Merge Assets under this Merge SDK and Code Snippets License ("**License**").
"**Customer**" means a person or entity that uses any of the Merge Assets. By using any Merge Asset, Customer agrees to the terms of this License.
"**MSA**" for the purpose of this License means: (a) for Merge "Launch" Customers, the Subscriber Agreement (available at: [https://merge.dev/subscriber-agreement](https://merge.dev/subscriber-agreement)); and (b) for Merge "Growth" and/or "Expand" Customers, Merge's Master Services Agreement (available at [https://merge.dev/msa](https://merge.dev/msa)), unless Merge and Customer have entered into a separate written agreement governing the Customer's use of the Service. Customer's use of any Merge Asset will be governed by the applicable MSA as well as the additional terms of this License. Capitalized terms used but not defined herein shall have the meaning as set forth in the MSA. In the event of any inconsistency between the terms of the MSA and this License, the terms of the MSA will prevail.
Merge reserves the right to modify or update this License in its sole discretion, the effective date of such updates and/or modifications will be the earlier of: (i) 30 days from the date of such update or modification; or (ii) Customer's continued use of any Merge Asset.
1. **SDK and Snippets License**. Customer's right to access and use the Service under Section 1 of the MSA is extended to include use of the Merge Assets but solely during the Term and subject to the terms of the MSA.
2. **Use with the Service Only**. Customer may use the Merge Assets but only in connections with the Service and Merge Integrations. Any other use of the Merge Assets requires Merge's prior written consent.
3. **Limitations**. Customer's use of the Merge Assets may be subject to bandwidth limitations that Merge may impose from time to time during the Subscription. Merge will make commercially reasonable efforts to notify Customer of such limitations in advance via the location where Customer gained access to the applicable Merge Asset(s).
4. **Merge Assets & Intellectual Property Rights**. Any modifications or derivatives (together, "**Asset Derivatives**") made by Customer to the Merge Assets are deemed "works made for hire" as that term is defined in the United States Copyright Act and are the sole property of Merge. To the extent that ownership of any Asset Derivative does not by operation of law vest in Merge, Customer hereby assigns to Merge all right, title and interest in and to the Asset Derivative, including all related intellectual property rights. Asset Derivatives will be governed by the terms of this License.
| PypiClean |
/HDDM-0.9.9.tar.gz/HDDM-0.9.9/hddm/models/hddm_transformed.py | from collections import OrderedDict
import inspect
import pymc as pm
import kabuki.step_methods as steps
from hddm.models import HDDMBase
class HDDMTransformed(HDDMBase):
# AF-comment: Don't understand the purpose of this class !
def __init__(self, *args, **kwargs):
self.use_gibbs_for_mean = kwargs.pop("use_gibbs_for_mean", True)
self.use_reject_for_std = kwargs.pop("use_reject_for_std", True)
if hasattr(self, "nn"):
pass
else:
self.nn = False
super(HDDMTransformed, self).__init__(*args, **kwargs)
def pre_sample(self):
if not self.is_group_model:
return
# apply gibbs sampler to normal group nodes
for name, node_descr in self.iter_group_nodes():
node = node_descr["node"]
knode_name = node_descr["knode_name"].replace("_trans", "")
if (
self.use_gibbs_for_mean
and isinstance(node, pm.Normal)
and knode_name not in self.group_only_nodes
):
self.mc.use_step_method(steps.kNormalNormal, node)
if (
self.use_reject_for_std
and isinstance(node, pm.Uniform)
and knode_name not in self.group_only_nodes
):
self.mc.use_step_method(steps.UniformPriorNormalstd, node)
def _create_stochastic_knodes(self, include):
knodes = OrderedDict()
if "a" in include:
knodes.update(self._create_family_exp("a", value=1))
if "v" in include:
knodes.update(self._create_family_normal("v", value=0))
if "t" in include:
knodes.update(self._create_family_exp("t", value=0.01))
if "sv" in include:
# TW: Use kabuki.utils.HalfCauchy, S=10, value=1 instead?
knodes.update(
self._create_family_trunc_normal("sv", lower=0, upper=1e3, value=1)
)
# knodes.update(self._create_family_exp('sv', value=1))
if "sz" in include:
knodes.update(self._create_family_invlogit("sz", value=0.1))
if "st" in include:
knodes.update(self._create_family_exp("st", value=0.01))
if "z" in include:
knodes.update(self._create_family_invlogit("z", value=0.5))
if "p_outlier" in include:
knodes.update(self._create_family_invlogit("p_outlier", value=0.05))
return knodes
def _create_an_average_model(self):
"""
create an average model for group model quantiles optimization.
"""
# this code only check that the arguments are as expected, i.e. the constructor was not change
# since we wrote this function
super_init_function = super(self.__class__, self).__init__
init_args = set(inspect.getargspec(super_init_function).args)
known_args = set(["wiener_params", "include", "self", "bias", "data"])
assert (
known_args == init_args
), "Arguments of the constructor are not as expected"
# create the avg model
avg_model = self.__class__(
self.data, include=self.include, is_group_model=False, **self._kwargs
)
return avg_model | PypiClean |
/Kook-0.7.2.tar.gz/Kook-0.7.2/lib/kook/books/concatenate.py |
###
### $Release: 0.7.2 $
### $Copyright: copyright(c) 2008-2012 kuwata-lab.com all rights reserved. $
### $License: MIT License $
###
###
### 'concatenate' recipe which concatenates cookbook and pyKook libraries into a file.
###
### Using 'concatenate' recipe, your cookbook can be a stand-alone script
### and user doesn't need to install pyKook.
###
### Example (Kookbook.py)::
###
### ## load cookbook
### ## ('@kook' is equivarent to 'os.path.dirname(kook.__file__)')
### kookbook.load("@kook/books/concatenate.py")
### #CONCATENATE_MODULES.append(foo.bar.module) # if you want
### #CONCATENATE_BOOKS.append('foo/bar/book.py') # if you want
###
### Example (command-line)::
###
### bash> kk concatenate -o script.rb Kookbook.py
### bash> python script.rb -h
###
import kook
import kook.utils
import kook.config
import kook.misc
import kook.commands
import kook.decorators
import kook.cookbook
import kook.kitchen
import kook.main
from kook.utils import resolve_filepath
CONCATENATE_MODULES = [
kook,
kook.utils,
kook.config,
kook.misc,
kook.commands,
kook.decorators,
kook.cookbook,
kook.kitchen,
kook.main,
]
CONCATENATE_BOOKS = [
'kook/books/clean.py',
'kook/books/all.py',
'kook/books/concatenate.py',
]
__export__ = ('CONCATENATE_MODULES', 'CONCATENATE_BOOKS')
def _escape(content):
s = "'''"
return content.replace("'''", '%s + "%s" + r%s' % (s, s, s))
@recipe
@spices("-o outfile: output filename",
"[bookname..]")
def concatenate(c, *args, **kwargs):
"""concatenate cookbook and library files into a file"""
pairs = [ (mod.__name__, mod.__file__.replace('.pyc', '.py'))
for mod in CONCATENATE_MODULES ]
buf = []; add = buf.append
add(r'''#!/usr/bin/env python
###
### concatenated pykook
###
''')
if args:
add("_BOOK_CONTENT = r'''")
for fname in args:
s = read_file(fname)
add(_escape(s))
add("\n")
add("'''\n")
add("\n")
add("\n")
add("import sys\n")
add("\n")
for name, fpath in pairs:
s = read_file(fpath)
add("#" * 20 + " " + fpath + "\n")
add("\n")
add("%s = type(sys)('%s')\n" % (name, name))
add("exec(compile(r'''");
add(_escape(s));
add("''', '%s', 'exec'), %s.__dict__, %s.__dict__)\n" % (name, name, name))
add("sys.modules['%s'] = %s\n" % (name, name))
add("\n")
for bookname in CONCATENATE_BOOKS:
fpath = resolve_filepath(bookname)
s = read_file(fpath)
add("#" * 20 + " " + fpath + "\n")
add("\n")
add("kook.__dict__.setdefault('_BOOK_LIBRARY', {})\n")
add("kook._BOOK_LIBRARY['%s'] = r'''" % bookname)
add(_escape(s))
add("'''\n")
add("#" * 70 + "\n")
if args:
add("\n")
add("kook._BOOK_CONTENT = _BOOK_CONTENT\n")
add("\n")
add(r'''
## dict to store 'kook/books/{clean,all}.py' in memory
kook.__dict__.setdefault('_BOOK_LIBRARY', {})
if __name__ == '__main__':
import re
## monkey patch to load '@kook/books/{clean,all}.py' from memory
def load(self, filename, context_shared=False):
m = re.match(r'^@(\w+)', filename)
if m:
content = kook._BOOK_LIBRARY.get(filename[1:])
if content:
return self._book._load_content_with_check(content, filename, filename, context_shared)
#return self._orig_load(filename, context_shared)
filepath = kook.utils.resolve_filepath(filename, 1)
return self._book.load_book(filepath, context_shared)
cls = kook.cookbook.KookbookProxy
cls._orig_load = cls.load
cls.load = load
## use this filename instead of Kookbook.py
argv = list(sys.argv)
if getattr(kook, '_BOOK_CONTENT', None):
argv[1:1] = ['-f', __file__]
## start command
status = kook.main.MainCommand(argv).main()
sys.exit(status)
''')
s = "".join(buf)
if kwargs.get('o'):
write_file(kwargs.get('o'), s)
else:
sys.stdout.write(s) | PypiClean |
/a_fmm-0.1.0.tar.gz/a_fmm-0.1.0/README.md | [](https://a-fmm.readthedocs.io/en/latest/?badge=latest)
[](https://github.com/psf/black)
[](https://choosealicense.com/licenses/mit/)
# A-FMM
This is a Python implementation the Aperiodic-Fourier Modal Method, a fully vectorial method for solving Maxwell equations that combines a Fourier-based mode solver and a scattering matrix recursion algorithm to model full 3D structures. This approach is well suited to calculate modes, transmission, reflection, scattering and absorption of multi-layered structures. Moreover, support for Bloch modes of periodic structures allows for the simulation of photonic crystals or waveguide Bragg gratings.
## Installation
You can install A_FMM directly from pypi by running:
pip install A_FMM
## Documentation
Full documentation is available on [Read the Docs](https://a-fmm.readthedocs.io)
| PypiClean |
/DJModels-0.0.6-py3-none-any.whl/djmodels/db/migrations/operations/models.py | from djmodels.db import models
from djmodels.db.migrations.operations.base import Operation
from djmodels.db.migrations.state import ModelState
from djmodels.db.models.options import normalize_together
from djmodels.utils.functional import cached_property
from .fields import (
AddField, AlterField, FieldOperation, RemoveField, RenameField,
)
from .utils import ModelTuple, field_references_model
def _check_for_duplicates(arg_name, objs):
used_vals = set()
for val in objs:
if val in used_vals:
raise ValueError(
"Found duplicate value %s in CreateModel %s argument." % (val, arg_name)
)
used_vals.add(val)
class ModelOperation(Operation):
def __init__(self, name):
self.name = name
@cached_property
def name_lower(self):
return self.name.lower()
def references_model(self, name, app_label=None):
return name.lower() == self.name_lower
def reduce(self, operation, app_label=None):
return (
super().reduce(operation, app_label=app_label) or
not operation.references_model(self.name, app_label)
)
class CreateModel(ModelOperation):
"""Create a model's table."""
serialization_expand_args = ['fields', 'options', 'managers']
def __init__(self, name, fields, options=None, bases=None, managers=None):
self.fields = fields
self.options = options or {}
self.bases = bases or (models.Model,)
self.managers = managers or []
super().__init__(name)
# Sanity-check that there are no duplicated field names, bases, or
# manager names
_check_for_duplicates('fields', (name for name, _ in self.fields))
_check_for_duplicates('bases', (
base._meta.label_lower if hasattr(base, '_meta') else
base.lower() if isinstance(base, str) else base
for base in self.bases
))
_check_for_duplicates('managers', (name for name, _ in self.managers))
def deconstruct(self):
kwargs = {
'name': self.name,
'fields': self.fields,
}
if self.options:
kwargs['options'] = self.options
if self.bases and self.bases != (models.Model,):
kwargs['bases'] = self.bases
if self.managers and self.managers != [('objects', models.Manager())]:
kwargs['managers'] = self.managers
return (
self.__class__.__qualname__,
[],
kwargs
)
def state_forwards(self, app_label, state):
state.add_model(ModelState(
app_label,
self.name,
list(self.fields),
dict(self.options),
tuple(self.bases),
list(self.managers),
))
def database_forwards(self, app_label, schema_editor, from_state, to_state):
model = to_state.apps.get_model(app_label, self.name)
if self.allow_migrate_model(schema_editor.connection.alias, model):
schema_editor.create_model(model)
def database_backwards(self, app_label, schema_editor, from_state, to_state):
model = from_state.apps.get_model(app_label, self.name)
if self.allow_migrate_model(schema_editor.connection.alias, model):
schema_editor.delete_model(model)
def describe(self):
return "Create %smodel %s" % ("proxy " if self.options.get("proxy", False) else "", self.name)
def references_model(self, name, app_label=None):
name_lower = name.lower()
if name_lower == self.name_lower:
return True
# Check we didn't inherit from the model
model_tuple = ModelTuple(app_label, name_lower)
for base in self.bases:
if (base is not models.Model and isinstance(base, (models.base.ModelBase, str)) and
ModelTuple.from_model(base) == model_tuple):
return True
# Check we have no FKs/M2Ms with it
for _name, field in self.fields:
if field_references_model(field, model_tuple):
return True
return False
def reduce(self, operation, app_label=None):
if (isinstance(operation, DeleteModel) and
self.name_lower == operation.name_lower and
not self.options.get("proxy", False)):
return []
elif isinstance(operation, RenameModel) and self.name_lower == operation.old_name_lower:
return [
CreateModel(
operation.new_name,
fields=self.fields,
options=self.options,
bases=self.bases,
managers=self.managers,
),
]
elif isinstance(operation, AlterModelOptions) and self.name_lower == operation.name_lower:
return [
CreateModel(
self.name,
fields=self.fields,
options={**self.options, **operation.options},
bases=self.bases,
managers=self.managers,
),
]
elif isinstance(operation, AlterTogetherOptionOperation) and self.name_lower == operation.name_lower:
return [
CreateModel(
self.name,
fields=self.fields,
options={**self.options, **{operation.option_name: operation.option_value}},
bases=self.bases,
managers=self.managers,
),
]
elif isinstance(operation, AlterOrderWithRespectTo) and self.name_lower == operation.name_lower:
return [
CreateModel(
self.name,
fields=self.fields,
options={**self.options, 'order_with_respect_to': operation.order_with_respect_to},
bases=self.bases,
managers=self.managers,
),
]
elif isinstance(operation, FieldOperation) and self.name_lower == operation.model_name_lower:
if isinstance(operation, AddField):
return [
CreateModel(
self.name,
fields=self.fields + [(operation.name, operation.field)],
options=self.options,
bases=self.bases,
managers=self.managers,
),
]
elif isinstance(operation, AlterField):
return [
CreateModel(
self.name,
fields=[
(n, operation.field if n == operation.name else v)
for n, v in self.fields
],
options=self.options,
bases=self.bases,
managers=self.managers,
),
]
elif isinstance(operation, RemoveField):
options = self.options.copy()
for option_name in ('unique_together', 'index_together'):
option = options.pop(option_name, None)
if option:
option = set(filter(bool, (
tuple(f for f in fields if f != operation.name_lower) for fields in option
)))
if option:
options[option_name] = option
order_with_respect_to = options.get('order_with_respect_to')
if order_with_respect_to == operation.name_lower:
del options['order_with_respect_to']
return [
CreateModel(
self.name,
fields=[
(n, v)
for n, v in self.fields
if n.lower() != operation.name_lower
],
options=options,
bases=self.bases,
managers=self.managers,
),
]
elif isinstance(operation, RenameField):
options = self.options.copy()
for option_name in ('unique_together', 'index_together'):
option = options.get(option_name)
if option:
options[option_name] = {
tuple(operation.new_name if f == operation.old_name else f for f in fields)
for fields in option
}
order_with_respect_to = options.get('order_with_respect_to')
if order_with_respect_to == operation.old_name:
options['order_with_respect_to'] = operation.new_name
return [
CreateModel(
self.name,
fields=[
(operation.new_name if n == operation.old_name else n, v)
for n, v in self.fields
],
options=options,
bases=self.bases,
managers=self.managers,
),
]
return super().reduce(operation, app_label=app_label)
class DeleteModel(ModelOperation):
"""Drop a model's table."""
def deconstruct(self):
kwargs = {
'name': self.name,
}
return (
self.__class__.__qualname__,
[],
kwargs
)
def state_forwards(self, app_label, state):
state.remove_model(app_label, self.name_lower)
def database_forwards(self, app_label, schema_editor, from_state, to_state):
model = from_state.apps.get_model(app_label, self.name)
if self.allow_migrate_model(schema_editor.connection.alias, model):
schema_editor.delete_model(model)
def database_backwards(self, app_label, schema_editor, from_state, to_state):
model = to_state.apps.get_model(app_label, self.name)
if self.allow_migrate_model(schema_editor.connection.alias, model):
schema_editor.create_model(model)
def references_model(self, name, app_label=None):
# The deleted model could be referencing the specified model through
# related fields.
return True
def describe(self):
return "Delete model %s" % self.name
class RenameModel(ModelOperation):
"""Rename a model."""
def __init__(self, old_name, new_name):
self.old_name = old_name
self.new_name = new_name
super().__init__(old_name)
@cached_property
def old_name_lower(self):
return self.old_name.lower()
@cached_property
def new_name_lower(self):
return self.new_name.lower()
def deconstruct(self):
kwargs = {
'old_name': self.old_name,
'new_name': self.new_name,
}
return (
self.__class__.__qualname__,
[],
kwargs
)
def state_forwards(self, app_label, state):
# Add a new model.
renamed_model = state.models[app_label, self.old_name_lower].clone()
renamed_model.name = self.new_name
state.models[app_label, self.new_name_lower] = renamed_model
# Repoint all fields pointing to the old model to the new one.
old_model_tuple = ModelTuple(app_label, self.old_name_lower)
new_remote_model = '%s.%s' % (app_label, self.new_name)
to_reload = []
for (model_app_label, model_name), model_state in state.models.items():
model_changed = False
for index, (name, field) in enumerate(model_state.fields):
changed_field = None
remote_field = field.remote_field
if remote_field:
remote_model_tuple = ModelTuple.from_model(
remote_field.model, model_app_label, model_name
)
if remote_model_tuple == old_model_tuple:
changed_field = field.clone()
changed_field.remote_field.model = new_remote_model
through_model = getattr(remote_field, 'through', None)
if through_model:
through_model_tuple = ModelTuple.from_model(
through_model, model_app_label, model_name
)
if through_model_tuple == old_model_tuple:
if changed_field is None:
changed_field = field.clone()
changed_field.remote_field.through = new_remote_model
if changed_field:
model_state.fields[index] = name, changed_field
model_changed = True
if model_changed:
to_reload.append((model_app_label, model_name))
# Reload models related to old model before removing the old model.
state.reload_models(to_reload, delay=True)
# Remove the old model.
state.remove_model(app_label, self.old_name_lower)
state.reload_model(app_label, self.new_name_lower, delay=True)
def database_forwards(self, app_label, schema_editor, from_state, to_state):
new_model = to_state.apps.get_model(app_label, self.new_name)
if self.allow_migrate_model(schema_editor.connection.alias, new_model):
old_model = from_state.apps.get_model(app_label, self.old_name)
# Move the main table
schema_editor.alter_db_table(
new_model,
old_model._meta.db_table,
new_model._meta.db_table,
)
# Alter the fields pointing to us
for related_object in old_model._meta.related_objects:
if related_object.related_model == old_model:
model = new_model
related_key = (app_label, self.new_name_lower)
else:
model = related_object.related_model
related_key = (
related_object.related_model._meta.app_label,
related_object.related_model._meta.model_name,
)
to_field = to_state.apps.get_model(
*related_key
)._meta.get_field(related_object.field.name)
schema_editor.alter_field(
model,
related_object.field,
to_field,
)
# Rename M2M fields whose name is based on this model's name.
fields = zip(old_model._meta.local_many_to_many, new_model._meta.local_many_to_many)
for (old_field, new_field) in fields:
# Skip self-referential fields as these are renamed above.
if new_field.model == new_field.related_model or not new_field.remote_field.through._meta.auto_created:
continue
# Rename the M2M table that's based on this model's name.
old_m2m_model = old_field.remote_field.through
new_m2m_model = new_field.remote_field.through
schema_editor.alter_db_table(
new_m2m_model,
old_m2m_model._meta.db_table,
new_m2m_model._meta.db_table,
)
# Rename the column in the M2M table that's based on this
# model's name.
schema_editor.alter_field(
new_m2m_model,
old_m2m_model._meta.get_field(old_model._meta.model_name),
new_m2m_model._meta.get_field(new_model._meta.model_name),
)
def database_backwards(self, app_label, schema_editor, from_state, to_state):
self.new_name_lower, self.old_name_lower = self.old_name_lower, self.new_name_lower
self.new_name, self.old_name = self.old_name, self.new_name
self.database_forwards(app_label, schema_editor, from_state, to_state)
self.new_name_lower, self.old_name_lower = self.old_name_lower, self.new_name_lower
self.new_name, self.old_name = self.old_name, self.new_name
def references_model(self, name, app_label=None):
return (
name.lower() == self.old_name_lower or
name.lower() == self.new_name_lower
)
def describe(self):
return "Rename model %s to %s" % (self.old_name, self.new_name)
def reduce(self, operation, app_label=None):
if (isinstance(operation, RenameModel) and
self.new_name_lower == operation.old_name_lower):
return [
RenameModel(
self.old_name,
operation.new_name,
),
]
# Skip `ModelOperation.reduce` as we want to run `references_model`
# against self.new_name.
return (
super(ModelOperation, self).reduce(operation, app_label=app_label) or
not operation.references_model(self.new_name, app_label)
)
class AlterModelTable(ModelOperation):
"""Rename a model's table."""
def __init__(self, name, table):
self.table = table
super().__init__(name)
def deconstruct(self):
kwargs = {
'name': self.name,
'table': self.table,
}
return (
self.__class__.__qualname__,
[],
kwargs
)
def state_forwards(self, app_label, state):
state.models[app_label, self.name_lower].options["db_table"] = self.table
state.reload_model(app_label, self.name_lower, delay=True)
def database_forwards(self, app_label, schema_editor, from_state, to_state):
new_model = to_state.apps.get_model(app_label, self.name)
if self.allow_migrate_model(schema_editor.connection.alias, new_model):
old_model = from_state.apps.get_model(app_label, self.name)
schema_editor.alter_db_table(
new_model,
old_model._meta.db_table,
new_model._meta.db_table,
)
# Rename M2M fields whose name is based on this model's db_table
for (old_field, new_field) in zip(old_model._meta.local_many_to_many, new_model._meta.local_many_to_many):
if new_field.remote_field.through._meta.auto_created:
schema_editor.alter_db_table(
new_field.remote_field.through,
old_field.remote_field.through._meta.db_table,
new_field.remote_field.through._meta.db_table,
)
def database_backwards(self, app_label, schema_editor, from_state, to_state):
return self.database_forwards(app_label, schema_editor, from_state, to_state)
def describe(self):
return "Rename table for %s to %s" % (
self.name,
self.table if self.table is not None else "(default)"
)
def reduce(self, operation, app_label=None):
if isinstance(operation, (AlterModelTable, DeleteModel)) and self.name_lower == operation.name_lower:
return [operation]
return super().reduce(operation, app_label=app_label)
class ModelOptionOperation(ModelOperation):
def reduce(self, operation, app_label=None):
if isinstance(operation, (self.__class__, DeleteModel)) and self.name_lower == operation.name_lower:
return [operation]
return super().reduce(operation, app_label=app_label)
class AlterTogetherOptionOperation(ModelOptionOperation):
option_name = None
def __init__(self, name, option_value):
if option_value:
option_value = set(normalize_together(option_value))
setattr(self, self.option_name, option_value)
super().__init__(name)
@cached_property
def option_value(self):
return getattr(self, self.option_name)
def deconstruct(self):
kwargs = {
'name': self.name,
self.option_name: self.option_value,
}
return (
self.__class__.__qualname__,
[],
kwargs
)
def state_forwards(self, app_label, state):
model_state = state.models[app_label, self.name_lower]
model_state.options[self.option_name] = self.option_value
state.reload_model(app_label, self.name_lower, delay=True)
def database_forwards(self, app_label, schema_editor, from_state, to_state):
new_model = to_state.apps.get_model(app_label, self.name)
if self.allow_migrate_model(schema_editor.connection.alias, new_model):
old_model = from_state.apps.get_model(app_label, self.name)
alter_together = getattr(schema_editor, 'alter_%s' % self.option_name)
alter_together(
new_model,
getattr(old_model._meta, self.option_name, set()),
getattr(new_model._meta, self.option_name, set()),
)
def database_backwards(self, app_label, schema_editor, from_state, to_state):
return self.database_forwards(app_label, schema_editor, from_state, to_state)
def references_field(self, model_name, name, app_label=None):
return (
self.references_model(model_name, app_label) and
(
not self.option_value or
any((name in fields) for fields in self.option_value)
)
)
def describe(self):
return "Alter %s for %s (%s constraint(s))" % (self.option_name, self.name, len(self.option_value or ''))
class AlterUniqueTogether(AlterTogetherOptionOperation):
"""
Change the value of unique_together to the target one.
Input value of unique_together must be a set of tuples.
"""
option_name = 'unique_together'
def __init__(self, name, unique_together):
super().__init__(name, unique_together)
class AlterIndexTogether(AlterTogetherOptionOperation):
"""
Change the value of index_together to the target one.
Input value of index_together must be a set of tuples.
"""
option_name = "index_together"
def __init__(self, name, index_together):
super().__init__(name, index_together)
class AlterOrderWithRespectTo(ModelOptionOperation):
"""Represent a change with the order_with_respect_to option."""
option_name = 'order_with_respect_to'
def __init__(self, name, order_with_respect_to):
self.order_with_respect_to = order_with_respect_to
super().__init__(name)
def deconstruct(self):
kwargs = {
'name': self.name,
'order_with_respect_to': self.order_with_respect_to,
}
return (
self.__class__.__qualname__,
[],
kwargs
)
def state_forwards(self, app_label, state):
model_state = state.models[app_label, self.name_lower]
model_state.options['order_with_respect_to'] = self.order_with_respect_to
state.reload_model(app_label, self.name_lower, delay=True)
def database_forwards(self, app_label, schema_editor, from_state, to_state):
to_model = to_state.apps.get_model(app_label, self.name)
if self.allow_migrate_model(schema_editor.connection.alias, to_model):
from_model = from_state.apps.get_model(app_label, self.name)
# Remove a field if we need to
if from_model._meta.order_with_respect_to and not to_model._meta.order_with_respect_to:
schema_editor.remove_field(from_model, from_model._meta.get_field("_order"))
# Add a field if we need to (altering the column is untouched as
# it's likely a rename)
elif to_model._meta.order_with_respect_to and not from_model._meta.order_with_respect_to:
field = to_model._meta.get_field("_order")
if not field.has_default():
field.default = 0
schema_editor.add_field(
from_model,
field,
)
def database_backwards(self, app_label, schema_editor, from_state, to_state):
self.database_forwards(app_label, schema_editor, from_state, to_state)
def references_field(self, model_name, name, app_label=None):
return (
self.references_model(model_name, app_label) and
(
self.order_with_respect_to is None or
name == self.order_with_respect_to
)
)
def describe(self):
return "Set order_with_respect_to on %s to %s" % (self.name, self.order_with_respect_to)
class AlterModelOptions(ModelOptionOperation):
"""
Set new model options that don't directly affect the database schema
(like verbose_name, permissions, ordering). Python code in migrations
may still need them.
"""
# Model options we want to compare and preserve in an AlterModelOptions op
ALTER_OPTION_KEYS = [
"base_manager_name",
"default_manager_name",
"get_latest_by",
"managed",
"ordering",
"permissions",
"default_permissions",
"select_on_save",
"verbose_name",
"verbose_name_plural",
]
def __init__(self, name, options):
self.options = options
super().__init__(name)
def deconstruct(self):
kwargs = {
'name': self.name,
'options': self.options,
}
return (
self.__class__.__qualname__,
[],
kwargs
)
def state_forwards(self, app_label, state):
model_state = state.models[app_label, self.name_lower]
model_state.options = {**model_state.options, **self.options}
for key in self.ALTER_OPTION_KEYS:
if key not in self.options:
model_state.options.pop(key, False)
state.reload_model(app_label, self.name_lower, delay=True)
def database_forwards(self, app_label, schema_editor, from_state, to_state):
pass
def database_backwards(self, app_label, schema_editor, from_state, to_state):
pass
def describe(self):
return "Change Meta options on %s" % self.name
class AlterModelManagers(ModelOptionOperation):
"""Alter the model's managers."""
serialization_expand_args = ['managers']
def __init__(self, name, managers):
self.managers = managers
super().__init__(name)
def deconstruct(self):
return (
self.__class__.__qualname__,
[self.name, self.managers],
{}
)
def state_forwards(self, app_label, state):
model_state = state.models[app_label, self.name_lower]
model_state.managers = list(self.managers)
state.reload_model(app_label, self.name_lower, delay=True)
def database_forwards(self, app_label, schema_editor, from_state, to_state):
pass
def database_backwards(self, app_label, schema_editor, from_state, to_state):
pass
def describe(self):
return "Change managers on %s" % self.name
class IndexOperation(Operation):
option_name = 'indexes'
@cached_property
def model_name_lower(self):
return self.model_name.lower()
class AddIndex(IndexOperation):
"""Add an index on a model."""
def __init__(self, model_name, index):
self.model_name = model_name
if not index.name:
raise ValueError(
"Indexes passed to AddIndex operations require a name "
"argument. %r doesn't have one." % index
)
self.index = index
def state_forwards(self, app_label, state):
model_state = state.models[app_label, self.model_name_lower]
indexes = list(model_state.options[self.option_name])
indexes.append(self.index.clone())
model_state.options[self.option_name] = indexes
state.reload_model(app_label, self.model_name_lower, delay=True)
def database_forwards(self, app_label, schema_editor, from_state, to_state):
model = to_state.apps.get_model(app_label, self.model_name)
if self.allow_migrate_model(schema_editor.connection.alias, model):
schema_editor.add_index(model, self.index)
def database_backwards(self, app_label, schema_editor, from_state, to_state):
model = from_state.apps.get_model(app_label, self.model_name)
if self.allow_migrate_model(schema_editor.connection.alias, model):
schema_editor.remove_index(model, self.index)
def deconstruct(self):
kwargs = {
'model_name': self.model_name,
'index': self.index,
}
return (
self.__class__.__qualname__,
[],
kwargs,
)
def describe(self):
return 'Create index %s on field(s) %s of model %s' % (
self.index.name,
', '.join(self.index.fields),
self.model_name,
)
class RemoveIndex(IndexOperation):
"""Remove an index from a model."""
def __init__(self, model_name, name):
self.model_name = model_name
self.name = name
def state_forwards(self, app_label, state):
model_state = state.models[app_label, self.model_name_lower]
indexes = model_state.options[self.option_name]
model_state.options[self.option_name] = [idx for idx in indexes if idx.name != self.name]
state.reload_model(app_label, self.model_name_lower, delay=True)
def database_forwards(self, app_label, schema_editor, from_state, to_state):
model = from_state.apps.get_model(app_label, self.model_name)
if self.allow_migrate_model(schema_editor.connection.alias, model):
from_model_state = from_state.models[app_label, self.model_name_lower]
index = from_model_state.get_index_by_name(self.name)
schema_editor.remove_index(model, index)
def database_backwards(self, app_label, schema_editor, from_state, to_state):
model = to_state.apps.get_model(app_label, self.model_name)
if self.allow_migrate_model(schema_editor.connection.alias, model):
to_model_state = to_state.models[app_label, self.model_name_lower]
index = to_model_state.get_index_by_name(self.name)
schema_editor.add_index(model, index)
def deconstruct(self):
kwargs = {
'model_name': self.model_name,
'name': self.name,
}
return (
self.__class__.__qualname__,
[],
kwargs,
)
def describe(self):
return 'Remove index %s from %s' % (self.name, self.model_name)
class AddConstraint(IndexOperation):
option_name = 'constraints'
def __init__(self, model_name, constraint):
self.model_name = model_name
self.constraint = constraint
def state_forwards(self, app_label, state):
model_state = state.models[app_label, self.model_name_lower]
constraints = list(model_state.options[self.option_name])
constraints.append(self.constraint)
model_state.options[self.option_name] = constraints
def database_forwards(self, app_label, schema_editor, from_state, to_state):
model = to_state.apps.get_model(app_label, self.model_name)
if self.allow_migrate_model(schema_editor.connection.alias, model):
schema_editor.add_constraint(model, self.constraint)
def database_backwards(self, app_label, schema_editor, from_state, to_state):
model = to_state.apps.get_model(app_label, self.model_name)
if self.allow_migrate_model(schema_editor.connection.alias, model):
schema_editor.remove_constraint(model, self.constraint)
def deconstruct(self):
return self.__class__.__name__, [], {
'model_name': self.model_name,
'constraint': self.constraint,
}
def describe(self):
return 'Create constraint %s on model %s' % (self.constraint.name, self.model_name)
class RemoveConstraint(IndexOperation):
option_name = 'constraints'
def __init__(self, model_name, name):
self.model_name = model_name
self.name = name
def state_forwards(self, app_label, state):
model_state = state.models[app_label, self.model_name_lower]
constraints = model_state.options[self.option_name]
model_state.options[self.option_name] = [c for c in constraints if c.name != self.name]
def database_forwards(self, app_label, schema_editor, from_state, to_state):
model = from_state.apps.get_model(app_label, self.model_name)
if self.allow_migrate_model(schema_editor.connection.alias, model):
from_model_state = from_state.models[app_label, self.model_name_lower]
constraint = from_model_state.get_constraint_by_name(self.name)
schema_editor.remove_constraint(model, constraint)
def database_backwards(self, app_label, schema_editor, from_state, to_state):
model = to_state.apps.get_model(app_label, self.model_name)
if self.allow_migrate_model(schema_editor.connection.alias, model):
to_model_state = to_state.models[app_label, self.model_name_lower]
constraint = to_model_state.get_constraint_by_name(self.name)
schema_editor.add_constraint(model, constraint)
def deconstruct(self):
return self.__class__.__name__, [], {
'model_name': self.model_name,
'name': self.name,
}
def describe(self):
return 'Remove constraint %s from model %s' % (self.name, self.model_name) | PypiClean |
/GPR1D-1.3.1.tar.gz/GPR1D-1.3.1/scripts/GPR1D_demo.py |
import os
import sys
import re
import inspect
from operator import itemgetter
import numpy as np
import GPR1D # Required import, only works after using 'pip install'
def run_demo():
"""
A demonstration script for the classes within the GPR1D module.
Due to the iterative nature of the optimization method and the
random nature of the kernel restart function, the results may
not be exactly the same for consecutive runs of this demo
script. However, all fits should fall within the fit error
ranges of each other, unless the optimization algorithm has
not converged.
"""
### Some basic setup
plot_save_directory = './GPPlots/'
if not plot_save_directory.endswith('/'):
plot_save_directory = plot_save_directory + '/'
if not os.path.isdir(plot_save_directory):
os.makedirs(plot_save_directory)
### Generating sample data
# Make basic function data
x_spread = 0.01
y_spread = 0.25
intercept = 3.0
slope1 = 1.0
x_values = np.linspace(0.0,1.0,21)
y_values = slope1 * x_values + intercept
boundary1 = 0.3
slope2 = 16.0
boundary1_filter = (x_values >= boundary1)
y_values[boundary1_filter] = y_values[boundary1_filter] - slope2 * (x_values[boundary1_filter] - boundary1)
boundary2 = 0.7
boundary2_filter = (x_values >= boundary2)
y_values[boundary2_filter] = y_values[boundary2_filter] + (slope2 + slope1) * (x_values[boundary2_filter] - boundary2)
# Add random error to generated data points
raw_x_values = x_values + x_spread * np.random.randn(x_values.size)
raw_y_values = y_values + y_spread * np.random.randn(y_values.size)
raw_x_errors = np.full(raw_x_values.shape,x_spread)
raw_y_errors = np.full(raw_y_values.shape,y_spread)
raw_intercept = raw_y_values[0]
### Fitting
fit_x_values = np.linspace(0.0,1.0,100)
# Define a kernel to fit the data itself
# Rational quadratic kernel is usually robust enough for general fitting
kernel = GPR1D.RQ_Kernel(1.0e0,1.0e0,5.0e0)
# This is only necessary if using kernel restart option on the data fitting
kernel_hyppar_bounds = np.atleast_2d([[1.0e-1,1.0e-1,5.0e0],[1.0e1,1.0e0,2.0e1]])
# Define a kernel to fit the given y-errors, needed for rigourous estimation of fit error including data error
# Typically a simple rational quadratic kernel is sufficient given a high regularization parameter (specified later)
# Here, the RQ kernel is summed with a noise kernel for extra robustness and to demonstrate how to use operator kernels
error_kernel = GPR1D.RQ_Kernel(1.0e-1,1.0e0,5.0e0)
# Again, this is only necessary if using kernel restart option on the error fitting
error_kernel_hyppar_bounds = np.atleast_2d([[1.0e-1,1.0e-1,1.0e0,],[1.0e1,1.0e0,1.0e1]])
# GPR fit using y-errors only as weights
# Create class object to store raw data, kernels, and settings
gpr_object = GPR1D.GaussianProcessRegression1D()
# Print source location for reference, in case of multiple installations
location = inspect.getsourcefile(type(gpr_object))
print("Using GPR1D definition from: %s" % (os.path.dirname(location) + '/'))
# Define the kernel and regularization parameter to be used in the data fitting routine
gpr_object.set_kernel(kernel=kernel,kbounds=kernel_hyppar_bounds,regpar=1.0)
# Define the raw data and associated errors to be fitted
gpr_object.set_raw_data(xdata=raw_x_values,ydata=raw_y_values,yerr=raw_y_errors,xerr=raw_x_errors, \
dxdata=[0.0],dydata=[0.0],dyerr=[0.0]) # Example of applying derivative constraints
# Define the search criteria for data fitting routine and error fitting routine
gpr_object.set_search_parameters(epsilon=1.0e-2)
gpr_object.set_error_search_parameters(epsilon=1.0e-1)
# Default optimizer is gradient ascent / descent - extremely robust but slow
# Uncomment any of the following lines to test the recommended optimizers
#gpr_object.set_search_parameters(epsilon=1.0e-2,method='adam',spars=[1.0e-1,0.4,0.8])
#gpr_object.set_error_search_parameters(epsilon=1.0e-1,method='adam',spars=[1.0e-1,0.4,0.8])
# Perform the fit with kernel restarts
gpr_object.GPRFit(fit_x_values,hsgp_flag=False,nrestarts=5)
# Grab optimized kernel settings - easy way to minimize data storage requirements for fit reproduction
(gp_kernel_name,gp_kernel_hyppars,gp_fit_regpar) = gpr_object.get_gp_kernel_details()
# Grab fit results
(fit_y_values,fit_y_errors,fit_dydx_values,fit_dydx_errors) = gpr_object.get_gp_results()
# Grab the log-marginal-likelihood of fit
fit_lml = gpr_object.get_gp_lml()
# GPR fit rigourously accounting only for y-errors (this is the recommended option)
# Procedure is nearly identical to above, except for the addition of an error kernel
hsgpr_object = GPR1D.GaussianProcessRegression1D()
# Define the kernel and regularization parameter to be used in the data fitting routine
hsgpr_object.set_kernel(kernel=kernel,kbounds=kernel_hyppar_bounds,regpar=1.0)
# Define the kernel and regularization parameter to be used in the error fitting routine
hsgpr_object.set_error_kernel(kernel=error_kernel,kbounds=error_kernel_hyppar_bounds,regpar=2.0)
# Define the raw data and associated errors to be fitted
hsgpr_object.set_raw_data(xdata=raw_x_values,ydata=raw_y_values,yerr=raw_y_errors,xerr=raw_x_errors, \
dxdata=[0.0],dydata=[0.0],dyerr=[0.0]) # Example of applying derivative constraints
# Define the search criteria for data fitting routine and error fitting routine
hsgpr_object.set_search_parameters(epsilon=1.0e-2)
hsgpr_object.set_error_search_parameters(epsilon=1.0e-1)
# Default optimizer is gradient ascent / descent - extremely robust but slow
# Uncomment any of the following lines to test the recommended optimizers
#hsgpr_object.set_search_parameters(epsilon=1.0e-2,method='adam',spars=[1.0e-1,0.4,0.8])
#hsgpr_object.set_error_search_parameters(epsilon=1.0e-1,method='adam',spars=[1.0e-1,0.4,0.8])
# Perform the fit with kernel restarts
hsgpr_object.GPRFit(fit_x_values,hsgp_flag=True,nrestarts=5)
# Grab optimized kernel settings - easy way to minimize data storage requirements for fit reproduction
(hsgp_kernel_name,hsgp_kernel_hyppars,hsgp_fit_regpar) = hsgpr_object.get_gp_kernel_details()
(hsgp_error_kernel_name,hsgp_error_kernel_hyppars,hsgp_error_fit_regpar) = hsgpr_object.get_gp_error_kernel_details()
# Grab fit results
(hs_fit_y_values,hs_fit_y_errors,hs_fit_dydx_values,hs_fit_dydx_errors) = hsgpr_object.get_gp_results()
(hs_zfit_y_values,hs_zfit_y_errors,hs_zfit_dydx_values,hs_zfit_dydx_errors) = hsgpr_object.get_gp_results(noise_flag=False)
# Grab the log-marginal-likelihood of fit
hs_fit_lml = hsgpr_object.get_gp_lml()
# GPR fit rigourously accounting for y-errors AND x-errors
# Procedure is nearly identical to above, except for the addition of an extra option
nigpr_object = GPR1D.GaussianProcessRegression1D()
nigpr_object.set_kernel(kernel=kernel,kbounds=kernel_hyppar_bounds,regpar=1.0)
nigpr_object.set_error_kernel(kernel=error_kernel,kbounds=error_kernel_hyppar_bounds,regpar=2.0)
nigpr_object.set_raw_data(xdata=raw_x_values,ydata=raw_y_values,yerr=raw_y_errors,xerr=raw_x_errors, \
dxdata=[0.0],dydata=[0.0],dyerr=[0.0])
nigpr_object.set_search_parameters(epsilon=1.0e-2)
nigpr_object.set_error_search_parameters(epsilon=1.0e-1)
# Uncomment any of the following lines to test the recommended optimizers
#nigpr_object.set_search_parameters(epsilon=1.0e-2,method='adam',spars=[1.0e-1,0.4,0.8])
#nigpr_object.set_error_search_parameters(epsilon=1.0e-1,method='adam',spars=[1.0e-1,0.4,0.8])
# Perform the fit with kernel restarts, here is the extra option to account for x-errors in fit
nigpr_object.GPRFit(fit_x_values,hsgp_flag=True,nigp_flag=True,nrestarts=5)
# Grab outputs
(nigp_kernel_name,nigp_kernel_hyppars,nigp_fit_regpar) = nigpr_object.get_gp_kernel_details()
(nigp_error_kernel_name,nigp_error_kernel_hyppars,nigp_error_fit_regpar) = nigpr_object.get_gp_error_kernel_details()
(ni_fit_y_values,ni_fit_y_errors,ni_fit_dydx_values,ni_fit_dydx_errors) = nigpr_object.get_gp_results()
ni_fit_lml = nigpr_object.get_gp_lml()
### Sampling distribution (only done with HSGP option)
num_samples = 10000
# Samples the fit distribution - smooth noise representation
sample_array = hsgpr_object.sample_GP(num_samples,actual_noise=False)
# Calculates the derivatives of the sampled fit distributions
dfit_x_values = (fit_x_values[1:] + fit_x_values[:-1]) / 2.0
deriv_array = (sample_array[:,1:] - sample_array[:,:-1]) / (fit_x_values[1:] - fit_x_values[:-1])
# Samples the derivative distribution - smooth noise representation
dsample_array = hsgpr_object.sample_GP_derivative(num_samples,actual_noise=False)
# Calculates the integrals of the sampled derivative distributions
ifit_x_values = dfit_x_values.copy()
integ_array = dsample_array[:,1] * (ifit_x_values[0] - fit_x_values[0]) # + raw_intercept
if integ_array.ndim == 1:
integ_array = np.transpose(np.atleast_2d(integ_array))
for jj in np.arange(1,dsample_array.shape[1]-1):
integ = integ_array[:,jj-1] + dsample_array[:,jj] * (ifit_x_values[jj] - ifit_x_values[jj-1])
if integ.ndim == 1:
integ = np.transpose(np.atleast_2d(integ))
integ_array = np.hstack((integ_array,integ))
# Integrals require renormalization to the fit mean to define the constant of integration that is lost
orig_mean = np.nanmean(hs_fit_y_values)
for ii in np.arange(0,num_samples):
sint_mean = np.nanmean(integ_array[ii,:])
integ_array[ii,:] = integ_array[ii,:] - sint_mean + orig_mean
# Samples the fit distribution - true noise representation
nsample_array = hsgpr_object.sample_GP(num_samples,actual_noise=True)
# Samples the derivative distribution - true noise representation
ndsample_array = hsgpr_object.sample_GP_derivative(num_samples,actual_noise=True)
# Samples the fit distribution - zero noise representation
zsample_array = hsgpr_object.sample_GP(num_samples,without_noise=True)
# Calculates the derivatives of the sampled fit distributions - zero noise representation
zderiv_array = (zsample_array[:,1:] - zsample_array[:,:-1]) / (fit_x_values[1:] - fit_x_values[:-1])
# Samples the derivative distribution - zero noise representation
# Note that zero noise is only different from smooth noise if an error kernel is used
zdsample_array = hsgpr_object.sample_GP_derivative(num_samples,without_noise=True)
# Calculates the integrals of the sampled derivative distributions - zero noise representation
zinteg_array = zdsample_array[:,1] * (ifit_x_values[0] - fit_x_values[0]) # + raw_intercept
if zinteg_array.ndim == 1:
zinteg_array = np.transpose(np.atleast_2d(zinteg_array))
for jj in np.arange(1,zdsample_array.shape[1]-1):
zinteg = zinteg_array[:,jj-1] + zdsample_array[:,jj] * (ifit_x_values[jj] - ifit_x_values[jj-1])
if zinteg.ndim == 1:
zinteg = np.transpose(np.atleast_2d(zinteg))
zinteg_array = np.hstack((zinteg_array,zinteg))
# Integrals require renormalization to the fit mean to define the constant of integration that is lost
zorig_mean = np.nanmean(hs_zfit_y_values)
for ii in np.arange(0,num_samples):
zsint_mean = np.nanmean(zinteg_array[ii,:])
zinteg_array[ii,:] = zinteg_array[ii,:] - zsint_mean + zorig_mean
# Computing statistics of sampled profiles
sample_mean = np.nanmean(sample_array,axis=0)
deriv_mean = np.nanmean(deriv_array,axis=0)
dsample_mean = np.nanmean(dsample_array,axis=0)
integ_mean = np.nanmean(integ_array,axis=0)
sample_std = np.nanstd(sample_array,axis=0)
deriv_std = np.nanstd(deriv_array,axis=0)
dsample_std = np.nanstd(dsample_array,axis=0)
integ_std = np.nanstd(integ_array,axis=0)
# Computing statistics of sampled profiles - zero noise representation
zsample_mean = np.nanmean(zsample_array,axis=0)
zderiv_mean = np.nanmean(zderiv_array,axis=0)
zdsample_mean = np.nanmean(zdsample_array,axis=0)
zinteg_mean = np.nanmean(zinteg_array,axis=0)
zsample_std = np.nanstd(zsample_array,axis=0)
zderiv_std = np.nanstd(zderiv_array,axis=0)
zdsample_std = np.nanstd(zdsample_array,axis=0)
zinteg_std = np.nanstd(zinteg_array,axis=0)
### Printing
gp_str = "\n--- GPR Fit ---\n\n"
gp_str = gp_str + "Kernel name: %30s\n" % (gp_kernel_name)
gp_str = gp_str + "Regularization parameter: %17.4f\n" % (gp_fit_regpar)
gp_str = gp_str + "Optimized kernel hyperparameters:\n"
for hh in np.arange(0,gp_kernel_hyppars.size):
gp_str = gp_str + "%15.6e" % (gp_kernel_hyppars[hh])
gp_str = gp_str + "\n\n"
gp_str = gp_str + "Log-marginal-likelihood: %18.6f\n" % (fit_lml)
print(gp_str)
hsgp_str = "\n--- HSGPR Fit ---\n\n"
hsgp_str = hsgp_str + "Kernel name: %30s\n" % (hsgp_kernel_name)
hsgp_str = hsgp_str + "Regularization parameter: %17.4f\n" % (hsgp_fit_regpar)
hsgp_str = hsgp_str + "Optimized kernel hyperparameters:\n"
for hh in np.arange(0,hsgp_kernel_hyppars.size):
hsgp_str = hsgp_str + "%15.6e" % (hsgp_kernel_hyppars[hh])
hsgp_str = hsgp_str + "\n\n"
hsgp_str = hsgp_str + "Error kernel name: %24s\n" % (hsgp_error_kernel_name)
hsgp_str = hsgp_str + "Regularization parameter: %17.4f\n" % (hsgp_error_fit_regpar)
hsgp_str = hsgp_str + "Optimized error kernel hyperparameters:\n"
for hh in np.arange(0,hsgp_error_kernel_hyppars.size):
hsgp_str = hsgp_str + "%15.6e" % (hsgp_error_kernel_hyppars[hh])
hsgp_str = hsgp_str + "\n\n"
hsgp_str = hsgp_str + "Log-marginal-likelihood: %18.6f\n" % (hs_fit_lml)
print(hsgp_str)
nigp_str = "--- NIGPR Fit ---\n\n"
nigp_str = nigp_str + "Kernel name: %30s\n" % (nigp_kernel_name)
nigp_str = nigp_str + "Regularization parameter: %17.4f\n" % (nigp_fit_regpar)
nigp_str = nigp_str + "Optimized kernel hyperparameters:\n"
for hh in np.arange(0,nigp_kernel_hyppars.size):
nigp_str = nigp_str + "%15.6e" % (nigp_kernel_hyppars[hh])
nigp_str = nigp_str + "\n\n"
nigp_str = nigp_str + "Error kernel name: %24s\n" % (nigp_error_kernel_name)
nigp_str = nigp_str + "Regularization parameter: %17.4f\n" % (nigp_error_fit_regpar)
nigp_str = nigp_str + "Optimized error kernel hyperparameters:\n"
for hh in np.arange(0,nigp_error_kernel_hyppars.size):
nigp_str = nigp_str + "%15.6e" % (nigp_error_kernel_hyppars[hh])
nigp_str = nigp_str + "\n\n"
nigp_str = nigp_str + "Log-marginal-likelihood: %18.6f\n" % (ni_fit_lml)
print(nigp_str)
### Plotting
plt = None
try:
import matplotlib.pyplot as plt
except:
plt = None
if plt is not None:
plot_num_samples = 10
plot_sigma = 2.0
# Raw data with GPR fit and error, only accounting for y-errors
plot_raw_y_errors = plot_sigma * raw_y_errors
fig = plt.figure()
ax = fig.add_subplot(111)
ax.errorbar(raw_x_values,raw_y_values,yerr=plot_raw_y_errors,ls='',marker='.',color='k')
ax.plot(fit_x_values,hs_fit_y_values,color='r')
plot_hs_fit_y_lower = hs_fit_y_values - plot_sigma * hs_fit_y_errors
plot_hs_fit_y_upper = hs_fit_y_values + plot_sigma * hs_fit_y_errors
ax.fill_between(fit_x_values,plot_hs_fit_y_lower,plot_hs_fit_y_upper,facecolor='r',edgecolor='None',alpha=0.2)
ax.set_xlim(0.0,1.0)
fig.savefig(plot_save_directory+'gp_test.png')
plt.close(fig)
# Derivative of GPR fit and error, only accounting for y-errors
fig = plt.figure()
ax = fig.add_subplot(111)
ax.plot(fit_x_values,fit_dydx_values,color='r')
plot_hs_fit_dydx_lower = hs_fit_dydx_values - plot_sigma * hs_fit_dydx_errors
plot_hs_fit_dydx_upper = hs_fit_dydx_values + plot_sigma * hs_fit_dydx_errors
ax.fill_between(fit_x_values,plot_hs_fit_dydx_lower,plot_hs_fit_dydx_upper,facecolor='r',edgecolor='None',alpha=0.2)
ax.set_xlim(0.0,1.0)
fig.savefig(plot_save_directory+'gp_dtest.png')
plt.close(fig)
# Raw data with GPR fit and error, comparison of using y-errors as weights, rigourously accounting for y-errors, and rigourously account for y-errors AND x-errors
plot_raw_x_errors = plot_sigma * raw_x_errors
fig = plt.figure()
ax = fig.add_subplot(111)
ax.errorbar(raw_x_values,raw_y_values,xerr=plot_raw_x_errors,yerr=plot_raw_y_errors,ls='',marker='.',color='k')
ax.plot(fit_x_values,fit_y_values,color='g')
plot_fit_y_lower = fit_y_values - plot_sigma * fit_y_errors
plot_fit_y_upper = fit_y_values + plot_sigma * fit_y_errors
ax.plot(fit_x_values,plot_fit_y_lower,color='g',ls='--')
ax.plot(fit_x_values,plot_fit_y_upper,color='g',ls='--')
#ax.fill_between(fit_x_values,plot_fit_y_lower,plot_fit_y_upper,facecolor='g',edgecolor='None',alpha=0.2)
ax.plot(fit_x_values,hs_fit_y_values,color='r')
ax.plot(fit_x_values,plot_hs_fit_y_lower,color='r',ls='--')
ax.plot(fit_x_values,plot_hs_fit_y_upper,color='r',ls='--')
#ax.fill_between(fit_x_values,plot_hs_fit_y_lower,plot_hs_fit_y_upper,facecolor='r',edgecolor='None',alpha=0.2)
ax.plot(fit_x_values,ni_fit_y_values,color='b')
plot_ni_fit_y_lower = ni_fit_y_values - plot_sigma * ni_fit_y_errors
plot_ni_fit_y_upper = ni_fit_y_values + plot_sigma * ni_fit_y_errors
ax.plot(fit_x_values,plot_ni_fit_y_lower,color='b',ls='--')
ax.plot(fit_x_values,plot_ni_fit_y_upper,color='b',ls='--')
#ax.fill_between(fit_x_values,plot_ni_fit_y_lower,plot_ni_fit_y_upper,facecolor='b',edgecolor='None',alpha=0.2)
ax.set_xlim(0.0,1.0)
fig.savefig(plot_save_directory+'gp_options_test.png')
plt.close(fig)
# Derivative of GPR fit and error, comparison of using y-errors as weights, rigourously accounting for y-errors, and rigourously account for y-errors AND x-errors
fig = plt.figure()
ax = fig.add_subplot(111)
ax.plot(fit_x_values,fit_dydx_values,color='g')
plot_fit_dydx_lower = fit_dydx_values - plot_sigma * fit_dydx_errors
plot_fit_dydx_upper = fit_dydx_values + plot_sigma * fit_dydx_errors
ax.plot(fit_x_values,plot_fit_dydx_lower,color='g',ls='--')
ax.plot(fit_x_values,plot_fit_dydx_upper,color='g',ls='--')
#ax.fill_between(fit_x_values,plot_fit_dydx_lower,plot_fit_dydx_upper,facecolor='g',edgecolor='None',alpha=0.2)
ax.plot(fit_x_values,hs_fit_dydx_values,color='r')
ax.plot(fit_x_values,plot_hs_fit_dydx_lower,color='r',ls='--')
ax.plot(fit_x_values,plot_hs_fit_dydx_upper,color='r',ls='--')
#ax.fill_between(fit_x_values,plot_hs_fit_dydx_lower,plot_hs_fit_dydx_upper,facecolor='r',edgecolor='None',alpha=0.2)
ax.plot(fit_x_values,ni_fit_dydx_values,color='b')
plot_ni_fit_dydx_lower = ni_fit_dydx_values - plot_sigma * ni_fit_dydx_errors
plot_ni_fit_dydx_upper = ni_fit_dydx_values + plot_sigma * ni_fit_dydx_errors
ax.plot(fit_x_values,plot_ni_fit_dydx_lower,color='b',ls='--')
ax.plot(fit_x_values,plot_ni_fit_dydx_upper,color='b',ls='--')
#ax.fill_between(fit_x_values,plot_ni_fit_dydx_lower,plot_ni_fit_dydx_upper,facecolor='b',edgecolor='None',alpha=0.2)
ax.set_xlim(0.0,1.0)
fig.savefig(plot_save_directory+'gp_options_dtest.png')
plt.close(fig)
# Sampled fit curves (smooth noise) against GPR fit distribution
fig = plt.figure()
ax = fig.add_subplot(111)
ax.fill_between(fit_x_values,plot_hs_fit_y_lower,plot_hs_fit_y_upper,facecolor='r',edgecolor='None',alpha=0.2)
for ii in np.arange(0,plot_num_samples):
ax.plot(fit_x_values,sample_array[ii,:],color='k',alpha=0.5)
plot_hs_sample_y_lower = sample_mean - plot_sigma * sample_std
plot_hs_sample_y_upper = sample_mean + plot_sigma * sample_std
ax.fill_between(fit_x_values,plot_hs_sample_y_lower,plot_hs_sample_y_upper,facecolor='b',edgecolor='None',alpha=0.2)
ax.set_xlim(0.0,1.0)
fig.savefig(plot_save_directory+'sample_gp_test.png')
plt.close(fig)
# Derivatives of sampled fit curves (smooth noise) against GPR fit derivative distribution
fig = plt.figure()
ax = fig.add_subplot(111)
ax.fill_between(fit_x_values,plot_hs_fit_dydx_lower,plot_hs_fit_dydx_upper,facecolor='r',edgecolor='None',alpha=0.2)
for ii in np.arange(0,plot_num_samples):
ax.plot(dfit_x_values,deriv_array[ii,:],color='k',alpha=0.5)
plot_hs_sample_dydx_lower = deriv_mean - plot_sigma * deriv_std
plot_hs_sample_dydx_upper = deriv_mean + plot_sigma * deriv_std
ax.fill_between(dfit_x_values,plot_hs_sample_dydx_lower,plot_hs_sample_dydx_upper,facecolor='b',edgecolor='None',alpha=0.2)
ax.set_xlim(0.0,1.0)
fig.savefig(plot_save_directory+'sample_gp_drv_test.png')
plt.close(fig)
# Sampled fit derivative curves (smooth noise) against GPR fit derivative distribution
fig = plt.figure()
ax = fig.add_subplot(111)
ax.fill_between(fit_x_values,plot_hs_fit_dydx_lower,plot_hs_fit_dydx_upper,facecolor='r',edgecolor='None',alpha=0.2)
for ii in np.arange(0,plot_num_samples):
ax.plot(fit_x_values,dsample_array[ii,:],color='k',alpha=0.5)
plot_hs_dsample_dydx_lower = dsample_mean - plot_sigma * dsample_std
plot_hs_dsample_dydx_upper = dsample_mean + plot_sigma * dsample_std
ax.fill_between(fit_x_values,plot_hs_dsample_dydx_lower,plot_hs_dsample_dydx_upper,facecolor='b',edgecolor='None',alpha=0.2)
ax.set_xlim(0.0,1.0)
fig.savefig(plot_save_directory+'sample_gp_dtest.png')
plt.close(fig)
# Integrals of sampled fit derivative curves (smooth noise) against GPR fit distribution
fig = plt.figure()
ax = fig.add_subplot(111)
ax.fill_between(fit_x_values,plot_hs_fit_y_lower,plot_hs_fit_y_upper,facecolor='r',edgecolor='None',alpha=0.2)
for ii in np.arange(0,plot_num_samples):
ax.plot(ifit_x_values,integ_array[ii,:],color='k',alpha=0.5)
plot_hs_dsample_y_lower = integ_mean - plot_sigma * integ_std
plot_hs_dsample_y_upper = integ_mean + plot_sigma * integ_std
ax.fill_between(ifit_x_values,plot_hs_dsample_y_lower,plot_hs_dsample_y_upper,facecolor='b',edgecolor='None',alpha=0.2)
ax.set_xlim(0.0,1.0)
fig.savefig(plot_save_directory+'sample_gp_itg_dtest.png')
plt.close(fig)
# Sampled fit curves (true noise) against GPR fit distribution
fig = plt.figure()
ax = fig.add_subplot(111)
ax.fill_between(fit_x_values,plot_hs_fit_y_lower,plot_hs_fit_y_upper,facecolor='r',edgecolor='None',alpha=0.2)
for ii in np.arange(0,plot_num_samples):
ax.plot(fit_x_values,nsample_array[ii,:],color='k',alpha=0.5)
ax.set_xlim(0.0,1.0)
fig.savefig(plot_save_directory+'sample_gp_noisy_test.png')
plt.close(fig)
# Sampled fit derivative curves (true noise) against GPR fit derivative distribution
fig = plt.figure()
ax = fig.add_subplot(111)
ax.fill_between(fit_x_values,plot_hs_fit_dydx_lower,plot_hs_fit_dydx_upper,facecolor='r',edgecolor='None',alpha=0.2)
for ii in np.arange(0,plot_num_samples):
ax.plot(fit_x_values,ndsample_array[ii,:],color='k',alpha=0.5)
ax.set_xlim(0.0,1.0)
fig.savefig(plot_save_directory+'sample_gp_noisy_dtest.png')
plt.close(fig)
# Sampled fit curves (zero noise) against GPR fit distribution
fig = plt.figure()
ax = fig.add_subplot(111)
plot_hs_zfit_y_lower = hs_zfit_y_values - plot_sigma * hs_zfit_y_errors
plot_hs_zfit_y_upper = hs_zfit_y_values + plot_sigma * hs_zfit_y_errors
ax.fill_between(fit_x_values,plot_hs_zfit_y_lower,plot_hs_zfit_y_upper,facecolor='r',edgecolor='None',alpha=0.2)
for ii in np.arange(0,plot_num_samples):
ax.plot(fit_x_values,zsample_array[ii,:],color='k',alpha=0.5)
plot_hs_zsample_y_lower = zsample_mean - plot_sigma * zsample_std
plot_hs_zsample_y_upper = zsample_mean + plot_sigma * zsample_std
ax.fill_between(fit_x_values,plot_hs_sample_y_lower,plot_hs_sample_y_upper,facecolor='b',edgecolor='None',alpha=0.2)
ax.set_xlim(0.0,1.0)
fig.savefig(plot_save_directory+'sample_gp_no_noise_test.png')
plt.close(fig)
# Derivatives of sampled fit curves (zero noise) against GPR fit derivative distribution
fig = plt.figure()
ax = fig.add_subplot(111)
plot_hs_zfit_dydx_lower = hs_zfit_dydx_values - plot_sigma * hs_zfit_dydx_errors
plot_hs_zfit_dydx_upper = hs_zfit_dydx_values + plot_sigma * hs_zfit_dydx_errors
ax.fill_between(fit_x_values,plot_hs_zfit_dydx_lower,plot_hs_zfit_dydx_upper,facecolor='r',edgecolor='None',alpha=0.2)
for ii in np.arange(0,plot_num_samples):
ax.plot(dfit_x_values,zderiv_array[ii,:],color='k',alpha=0.5)
plot_hs_zsample_dydx_lower = zderiv_mean - plot_sigma * zderiv_std
plot_hs_zsample_dydx_upper = zderiv_mean + plot_sigma * zderiv_std
ax.fill_between(dfit_x_values,plot_hs_zsample_dydx_lower,plot_hs_zsample_dydx_upper,facecolor='b',edgecolor='None',alpha=0.2)
ax.set_xlim(0.0,1.0)
fig.savefig(plot_save_directory+'sample_gp_drv_no_noise_test.png')
plt.close(fig)
# Sampled fit derivative curves (zero noise) against GPR fit derivative distribution
fig = plt.figure()
ax = fig.add_subplot(111)
ax.fill_between(fit_x_values,plot_hs_zfit_dydx_lower,plot_hs_zfit_dydx_upper,facecolor='r',edgecolor='None',alpha=0.2)
for ii in np.arange(0,plot_num_samples):
ax.plot(fit_x_values,zdsample_array[ii,:],color='k',alpha=0.5)
plot_hs_zdsample_dydx_lower = zdsample_mean - plot_sigma * zdsample_std
plot_hs_zdsample_dydx_upper = zdsample_mean + plot_sigma * zdsample_std
ax.fill_between(fit_x_values,plot_hs_zdsample_dydx_lower,plot_hs_zdsample_dydx_upper,facecolor='b',edgecolor='None',alpha=0.2)
ax.set_xlim(0.0,1.0)
fig.savefig(plot_save_directory+'sample_gp_no_noise_dtest.png')
plt.close(fig)
# Integrals of sampled fit derivative curves (zero noise) against GPR fit distribution
fig = plt.figure()
ax = fig.add_subplot(111)
ax.fill_between(fit_x_values,plot_hs_zfit_y_lower,plot_hs_zfit_y_upper,facecolor='r',edgecolor='None',alpha=0.2)
for ii in np.arange(0,plot_num_samples):
ax.plot(ifit_x_values,zinteg_array[ii,:],color='k',alpha=0.5)
plot_hs_zdsample_y_lower = zinteg_mean - plot_sigma * zinteg_std
plot_hs_zdsample_y_upper = zinteg_mean + plot_sigma * zinteg_std
ax.fill_between(ifit_x_values,plot_hs_zdsample_y_lower,plot_hs_zdsample_y_upper,facecolor='b',edgecolor='None',alpha=0.2)
ax.set_xlim(0.0,1.0)
fig.savefig(plot_save_directory+'sample_gp_itg_no_noise_dtest.png')
plt.close(fig)
print("Results of demonstration plotted in directory ./GPPlots/\n")
else:
print(" Module matplotlib not found. Skipping plotting of demonstration results.\n")
print("Demonstration script successfully completed!\n")
def main():
run_demo()
if __name__ == "__main__":
main() | PypiClean |
/Gaussian_Binomial_Distribution-1.1.tar.gz/Gaussian_Binomial_Distribution-1.1/Gaussian_Binomial_Distribution/Binomialdistribution.py | import math
import matplotlib.pyplot as plt
from .Generaldistribution import Distribution
class Binomial(Distribution):
""" Binomial distribution class for calculating and
visualizing a Binomial distribution.
Attributes:
mean (float) representing the mean value of the distribution
stdev (float) representing the standard deviation of the distribution
data_list (list of floats) a list of floats to be extracted from the data file
p (float) representing the probability of an event occurring
n (int) number of trials
TODO: Fill out all functions below
"""
def __init__(self, prob=.5, size=20):
self.n = size
self.p = prob
Distribution.__init__(self, self.calculate_mean(), self.calculate_stdev())
def calculate_mean(self):
"""Function to calculate the mean from p and n
Args:
None
Returns:
float: mean of the data set
"""
self.mean = self.p * self.n
return self.mean
def calculate_stdev(self):
"""Function to calculate the standard deviation from p and n.
Args:
None
Returns:
float: standard deviation of the data set
"""
self.stdev = math.sqrt(self.n * self.p * (1 - self.p))
return self.stdev
def replace_stats_with_data(self):
"""Function to calculate p and n from the data set
Args:
None
Returns:
float: the p value
float: the n value
"""
self.n = len(self.data)
self.p = 1.0 * sum(self.data) / len(self.data)
self.mean = self.calculate_mean()
self.stdev = self.calculate_stdev()
def plot_bar(self):
"""Function to output a histogram of the instance variable data using
matplotlib pyplot library.
Args:
None
Returns:
None
"""
plt.bar(x = ['0', '1'], height = [(1 - self.p) * self.n, self.p * self.n])
plt.title('Bar Chart of Data')
plt.xlabel('outcome')
plt.ylabel('count')
def pdf(self, k):
"""Probability density function calculator for the gaussian distribution.
Args:
x (float): point for calculating the probability density function
Returns:
float: probability density function output
"""
a = math.factorial(self.n) / (math.factorial(k) * (math.factorial(self.n - k)))
b = (self.p ** k) * (1 - self.p) ** (self.n - k)
return a * b
def plot_bar_pdf(self):
"""Function to plot the pdf of the binomial distribution
Args:
None
Returns:
list: x values for the pdf plot
list: y values for the pdf plot
"""
x = []
y = []
# calculate the x values to visualize
for i in range(self.n + 1):
x.append(i)
y.append(self.pdf(i))
# make the plots
plt.bar(x, y)
plt.title('Distribution of Outcomes')
plt.ylabel('Probability')
plt.xlabel('Outcome')
plt.show()
return x, y
def __add__(self, other):
"""Function to add together two Binomial distributions with equal p
Args:
other (Binomial): Binomial instance
Returns:
Binomial: Binomial distribution
"""
try:
assert self.p == other.p, 'p values are not equal'
except AssertionError as error:
raise
result = Binomial()
result.n = self.n + other.n
result.p = self.p
result.calculate_mean()
result.calculate_stdev()
return result
def __repr__(self):
"""Function to output the characteristics of the Binomial instance
Args:
None
Returns:
string: characteristics of the Gaussian
"""
return "mean {}, standard deviation {}, p {}, n {}".\
format(self.mean, self.stdev, self.p, self.n) | PypiClean |
/Nuitka-1.8.tar.gz/Nuitka-1.8/nuitka/build/inline_copy/jinja2/jinja2/ext.py | import re
from jinja2 import nodes
from jinja2.defaults import BLOCK_START_STRING, \
BLOCK_END_STRING, VARIABLE_START_STRING, VARIABLE_END_STRING, \
COMMENT_START_STRING, COMMENT_END_STRING, LINE_STATEMENT_PREFIX, \
LINE_COMMENT_PREFIX, TRIM_BLOCKS, NEWLINE_SEQUENCE, \
KEEP_TRAILING_NEWLINE, LSTRIP_BLOCKS
from jinja2.environment import Environment
from jinja2.runtime import concat
from jinja2.exceptions import TemplateAssertionError, TemplateSyntaxError
from jinja2.utils import contextfunction, import_string, Markup
from jinja2._compat import with_metaclass, string_types, iteritems
# the only real useful gettext functions for a Jinja template. Note
# that ugettext must be assigned to gettext as Jinja doesn't support
# non unicode strings.
GETTEXT_FUNCTIONS = ('_', 'gettext', 'ngettext')
class ExtensionRegistry(type):
"""Gives the extension an unique identifier."""
def __new__(cls, name, bases, d):
rv = type.__new__(cls, name, bases, d)
rv.identifier = rv.__module__ + '.' + rv.__name__
return rv
class Extension(with_metaclass(ExtensionRegistry, object)):
"""Extensions can be used to add extra functionality to the Jinja template
system at the parser level. Custom extensions are bound to an environment
but may not store environment specific data on `self`. The reason for
this is that an extension can be bound to another environment (for
overlays) by creating a copy and reassigning the `environment` attribute.
As extensions are created by the environment they cannot accept any
arguments for configuration. One may want to work around that by using
a factory function, but that is not possible as extensions are identified
by their import name. The correct way to configure the extension is
storing the configuration values on the environment. Because this way the
environment ends up acting as central configuration storage the
attributes may clash which is why extensions have to ensure that the names
they choose for configuration are not too generic. ``prefix`` for example
is a terrible name, ``fragment_cache_prefix`` on the other hand is a good
name as includes the name of the extension (fragment cache).
"""
#: if this extension parses this is the list of tags it's listening to.
tags = set()
#: the priority of that extension. This is especially useful for
#: extensions that preprocess values. A lower value means higher
#: priority.
#:
#: .. versionadded:: 2.4
priority = 100
def __init__(self, environment):
self.environment = environment
def bind(self, environment):
"""Create a copy of this extension bound to another environment."""
rv = object.__new__(self.__class__)
rv.__dict__.update(self.__dict__)
rv.environment = environment
return rv
def preprocess(self, source, name, filename=None):
"""This method is called before the actual lexing and can be used to
preprocess the source. The `filename` is optional. The return value
must be the preprocessed source.
"""
return source
def filter_stream(self, stream):
"""It's passed a :class:`~jinja2.lexer.TokenStream` that can be used
to filter tokens returned. This method has to return an iterable of
:class:`~jinja2.lexer.Token`\\s, but it doesn't have to return a
:class:`~jinja2.lexer.TokenStream`.
In the `ext` folder of the Jinja2 source distribution there is a file
called `inlinegettext.py` which implements a filter that utilizes this
method.
"""
return stream
def parse(self, parser):
"""If any of the :attr:`tags` matched this method is called with the
parser as first argument. The token the parser stream is pointing at
is the name token that matched. This method has to return one or a
list of multiple nodes.
"""
raise NotImplementedError()
def attr(self, name, lineno=None):
"""Return an attribute node for the current extension. This is useful
to pass constants on extensions to generated template code.
::
self.attr('_my_attribute', lineno=lineno)
"""
return nodes.ExtensionAttribute(self.identifier, name, lineno=lineno)
def call_method(self, name, args=None, kwargs=None, dyn_args=None,
dyn_kwargs=None, lineno=None):
"""Call a method of the extension. This is a shortcut for
:meth:`attr` + :class:`jinja2.nodes.Call`.
"""
if args is None:
args = []
if kwargs is None:
kwargs = []
return nodes.Call(self.attr(name, lineno=lineno), args, kwargs,
dyn_args, dyn_kwargs, lineno=lineno)
@contextfunction
def _gettext_alias(__context, *args, **kwargs):
return __context.call(__context.resolve('gettext'), *args, **kwargs)
def _make_new_gettext(func):
@contextfunction
def gettext(__context, __string, **variables):
rv = __context.call(func, __string)
if __context.eval_ctx.autoescape:
rv = Markup(rv)
return rv % variables
return gettext
def _make_new_ngettext(func):
@contextfunction
def ngettext(__context, __singular, __plural, __num, **variables):
variables.setdefault('num', __num)
rv = __context.call(func, __singular, __plural, __num)
if __context.eval_ctx.autoescape:
rv = Markup(rv)
return rv % variables
return ngettext
class InternationalizationExtension(Extension):
"""This extension adds gettext support to Jinja2."""
tags = set(['trans'])
# TODO: the i18n extension is currently reevaluating values in a few
# situations. Take this example:
# {% trans count=something() %}{{ count }} foo{% pluralize
# %}{{ count }} fooss{% endtrans %}
# something is called twice here. One time for the gettext value and
# the other time for the n-parameter of the ngettext function.
def __init__(self, environment):
Extension.__init__(self, environment)
environment.globals['_'] = _gettext_alias
environment.extend(
install_gettext_translations=self._install,
install_null_translations=self._install_null,
install_gettext_callables=self._install_callables,
uninstall_gettext_translations=self._uninstall,
extract_translations=self._extract,
newstyle_gettext=False
)
def _install(self, translations, newstyle=None):
gettext = getattr(translations, 'ugettext', None)
if gettext is None:
gettext = translations.gettext
ngettext = getattr(translations, 'ungettext', None)
if ngettext is None:
ngettext = translations.ngettext
self._install_callables(gettext, ngettext, newstyle)
def _install_null(self, newstyle=None):
self._install_callables(
lambda x: x,
lambda s, p, n: (n != 1 and (p,) or (s,))[0],
newstyle
)
def _install_callables(self, gettext, ngettext, newstyle=None):
if newstyle is not None:
self.environment.newstyle_gettext = newstyle
if self.environment.newstyle_gettext:
gettext = _make_new_gettext(gettext)
ngettext = _make_new_ngettext(ngettext)
self.environment.globals.update(
gettext=gettext,
ngettext=ngettext
)
def _uninstall(self, translations):
for key in 'gettext', 'ngettext':
self.environment.globals.pop(key, None)
def _extract(self, source, gettext_functions=GETTEXT_FUNCTIONS):
if isinstance(source, string_types):
source = self.environment.parse(source)
return extract_from_ast(source, gettext_functions)
def parse(self, parser):
"""Parse a translatable tag."""
lineno = next(parser.stream).lineno
num_called_num = False
# find all the variables referenced. Additionally a variable can be
# defined in the body of the trans block too, but this is checked at
# a later state.
plural_expr = None
plural_expr_assignment = None
variables = {}
trimmed = None
while parser.stream.current.type != 'block_end':
if variables:
parser.stream.expect('comma')
# skip colon for python compatibility
if parser.stream.skip_if('colon'):
break
name = parser.stream.expect('name')
if name.value in variables:
parser.fail('translatable variable %r defined twice.' %
name.value, name.lineno,
exc=TemplateAssertionError)
# expressions
if parser.stream.current.type == 'assign':
next(parser.stream)
variables[name.value] = var = parser.parse_expression()
elif trimmed is None and name.value in ('trimmed', 'notrimmed'):
trimmed = name.value == 'trimmed'
continue
else:
variables[name.value] = var = nodes.Name(name.value, 'load')
if plural_expr is None:
if isinstance(var, nodes.Call):
plural_expr = nodes.Name('_trans', 'load')
variables[name.value] = plural_expr
plural_expr_assignment = nodes.Assign(
nodes.Name('_trans', 'store'), var)
else:
plural_expr = var
num_called_num = name.value == 'num'
parser.stream.expect('block_end')
plural = None
have_plural = False
referenced = set()
# now parse until endtrans or pluralize
singular_names, singular = self._parse_block(parser, True)
if singular_names:
referenced.update(singular_names)
if plural_expr is None:
plural_expr = nodes.Name(singular_names[0], 'load')
num_called_num = singular_names[0] == 'num'
# if we have a pluralize block, we parse that too
if parser.stream.current.test('name:pluralize'):
have_plural = True
next(parser.stream)
if parser.stream.current.type != 'block_end':
name = parser.stream.expect('name')
if name.value not in variables:
parser.fail('unknown variable %r for pluralization' %
name.value, name.lineno,
exc=TemplateAssertionError)
plural_expr = variables[name.value]
num_called_num = name.value == 'num'
parser.stream.expect('block_end')
plural_names, plural = self._parse_block(parser, False)
next(parser.stream)
referenced.update(plural_names)
else:
next(parser.stream)
# register free names as simple name expressions
for var in referenced:
if var not in variables:
variables[var] = nodes.Name(var, 'load')
if not have_plural:
plural_expr = None
elif plural_expr is None:
parser.fail('pluralize without variables', lineno)
if trimmed is None:
trimmed = self.environment.policies['ext.i18n.trimmed']
if trimmed:
singular = self._trim_whitespace(singular)
if plural:
plural = self._trim_whitespace(plural)
node = self._make_node(singular, plural, variables, plural_expr,
bool(referenced),
num_called_num and have_plural)
node.set_lineno(lineno)
if plural_expr_assignment is not None:
return [plural_expr_assignment, node]
else:
return node
def _trim_whitespace(self, string, _ws_re=re.compile(r'\s*\n\s*')):
return _ws_re.sub(' ', string.strip())
def _parse_block(self, parser, allow_pluralize):
"""Parse until the next block tag with a given name."""
referenced = []
buf = []
while 1:
if parser.stream.current.type == 'data':
buf.append(parser.stream.current.value.replace('%', '%%'))
next(parser.stream)
elif parser.stream.current.type == 'variable_begin':
next(parser.stream)
name = parser.stream.expect('name').value
referenced.append(name)
buf.append('%%(%s)s' % name)
parser.stream.expect('variable_end')
elif parser.stream.current.type == 'block_begin':
next(parser.stream)
if parser.stream.current.test('name:endtrans'):
break
elif parser.stream.current.test('name:pluralize'):
if allow_pluralize:
break
parser.fail('a translatable section can have only one '
'pluralize section')
parser.fail('control structures in translatable sections are '
'not allowed')
elif parser.stream.eos:
parser.fail('unclosed translation block')
else:
assert False, 'internal parser error'
return referenced, concat(buf)
def _make_node(self, singular, plural, variables, plural_expr,
vars_referenced, num_called_num):
"""Generates a useful node from the data provided."""
# no variables referenced? no need to escape for old style
# gettext invocations only if there are vars.
if not vars_referenced and not self.environment.newstyle_gettext:
singular = singular.replace('%%', '%')
if plural:
plural = plural.replace('%%', '%')
# singular only:
if plural_expr is None:
gettext = nodes.Name('gettext', 'load')
node = nodes.Call(gettext, [nodes.Const(singular)],
[], None, None)
# singular and plural
else:
ngettext = nodes.Name('ngettext', 'load')
node = nodes.Call(ngettext, [
nodes.Const(singular),
nodes.Const(plural),
plural_expr
], [], None, None)
# in case newstyle gettext is used, the method is powerful
# enough to handle the variable expansion and autoescape
# handling itself
if self.environment.newstyle_gettext:
for key, value in iteritems(variables):
# the function adds that later anyways in case num was
# called num, so just skip it.
if num_called_num and key == 'num':
continue
node.kwargs.append(nodes.Keyword(key, value))
# otherwise do that here
else:
# mark the return value as safe if we are in an
# environment with autoescaping turned on
node = nodes.MarkSafeIfAutoescape(node)
if variables:
node = nodes.Mod(node, nodes.Dict([
nodes.Pair(nodes.Const(key), value)
for key, value in variables.items()
]))
return nodes.Output([node])
class ExprStmtExtension(Extension):
"""Adds a `do` tag to Jinja2 that works like the print statement just
that it doesn't print the return value.
"""
tags = set(['do'])
def parse(self, parser):
node = nodes.ExprStmt(lineno=next(parser.stream).lineno)
node.node = parser.parse_tuple()
return node
class LoopControlExtension(Extension):
"""Adds break and continue to the template engine."""
tags = set(['break', 'continue'])
def parse(self, parser):
token = next(parser.stream)
if token.value == 'break':
return nodes.Break(lineno=token.lineno)
return nodes.Continue(lineno=token.lineno)
class WithExtension(Extension):
pass
class AutoEscapeExtension(Extension):
pass
def extract_from_ast(node, gettext_functions=GETTEXT_FUNCTIONS,
babel_style=True):
"""Extract localizable strings from the given template node. Per
default this function returns matches in babel style that means non string
parameters as well as keyword arguments are returned as `None`. This
allows Babel to figure out what you really meant if you are using
gettext functions that allow keyword arguments for placeholder expansion.
If you don't want that behavior set the `babel_style` parameter to `False`
which causes only strings to be returned and parameters are always stored
in tuples. As a consequence invalid gettext calls (calls without a single
string parameter or string parameters after non-string parameters) are
skipped.
This example explains the behavior:
>>> from jinja2 import Environment
>>> env = Environment()
>>> node = env.parse('{{ (_("foo"), _(), ngettext("foo", "bar", 42)) }}')
>>> list(extract_from_ast(node))
[(1, '_', 'foo'), (1, '_', ()), (1, 'ngettext', ('foo', 'bar', None))]
>>> list(extract_from_ast(node, babel_style=False))
[(1, '_', ('foo',)), (1, 'ngettext', ('foo', 'bar'))]
For every string found this function yields a ``(lineno, function,
message)`` tuple, where:
* ``lineno`` is the number of the line on which the string was found,
* ``function`` is the name of the ``gettext`` function used (if the
string was extracted from embedded Python code), and
* ``message`` is the string itself (a ``unicode`` object, or a tuple
of ``unicode`` objects for functions with multiple string arguments).
This extraction function operates on the AST and is because of that unable
to extract any comments. For comment support you have to use the babel
extraction interface or extract comments yourself.
"""
for node in node.find_all(nodes.Call):
if not isinstance(node.node, nodes.Name) or \
node.node.name not in gettext_functions:
continue
strings = []
for arg in node.args:
if isinstance(arg, nodes.Const) and \
isinstance(arg.value, string_types):
strings.append(arg.value)
else:
strings.append(None)
for arg in node.kwargs:
strings.append(None)
if node.dyn_args is not None:
strings.append(None)
if node.dyn_kwargs is not None:
strings.append(None)
if not babel_style:
strings = tuple(x for x in strings if x is not None)
if not strings:
continue
else:
if len(strings) == 1:
strings = strings[0]
else:
strings = tuple(strings)
yield node.lineno, node.node.name, strings
class _CommentFinder(object):
"""Helper class to find comments in a token stream. Can only
find comments for gettext calls forwards. Once the comment
from line 4 is found, a comment for line 1 will not return a
usable value.
"""
def __init__(self, tokens, comment_tags):
self.tokens = tokens
self.comment_tags = comment_tags
self.offset = 0
self.last_lineno = 0
def find_backwards(self, offset):
try:
for _, token_type, token_value in \
reversed(self.tokens[self.offset:offset]):
if token_type in ('comment', 'linecomment'):
try:
prefix, comment = token_value.split(None, 1)
except ValueError:
continue
if prefix in self.comment_tags:
return [comment.rstrip()]
return []
finally:
self.offset = offset
def find_comments(self, lineno):
if not self.comment_tags or self.last_lineno > lineno:
return []
for idx, (token_lineno, _, _) in enumerate(self.tokens[self.offset:]):
if token_lineno > lineno:
return self.find_backwards(self.offset + idx)
return self.find_backwards(len(self.tokens))
def babel_extract(fileobj, keywords, comment_tags, options):
"""Babel extraction method for Jinja templates.
.. versionchanged:: 2.3
Basic support for translation comments was added. If `comment_tags`
is now set to a list of keywords for extraction, the extractor will
try to find the best preceeding comment that begins with one of the
keywords. For best results, make sure to not have more than one
gettext call in one line of code and the matching comment in the
same line or the line before.
.. versionchanged:: 2.5.1
The `newstyle_gettext` flag can be set to `True` to enable newstyle
gettext calls.
.. versionchanged:: 2.7
A `silent` option can now be provided. If set to `False` template
syntax errors are propagated instead of being ignored.
:param fileobj: the file-like object the messages should be extracted from
:param keywords: a list of keywords (i.e. function names) that should be
recognized as translation functions
:param comment_tags: a list of translator tags to search for and include
in the results.
:param options: a dictionary of additional options (optional)
:return: an iterator over ``(lineno, funcname, message, comments)`` tuples.
(comments will be empty currently)
"""
extensions = set()
for extension in options.get('extensions', '').split(','):
extension = extension.strip()
if not extension:
continue
extensions.add(import_string(extension))
if InternationalizationExtension not in extensions:
extensions.add(InternationalizationExtension)
def getbool(options, key, default=False):
return options.get(key, str(default)).lower() in \
('1', 'on', 'yes', 'true')
silent = getbool(options, 'silent', True)
environment = Environment(
options.get('block_start_string', BLOCK_START_STRING),
options.get('block_end_string', BLOCK_END_STRING),
options.get('variable_start_string', VARIABLE_START_STRING),
options.get('variable_end_string', VARIABLE_END_STRING),
options.get('comment_start_string', COMMENT_START_STRING),
options.get('comment_end_string', COMMENT_END_STRING),
options.get('line_statement_prefix') or LINE_STATEMENT_PREFIX,
options.get('line_comment_prefix') or LINE_COMMENT_PREFIX,
getbool(options, 'trim_blocks', TRIM_BLOCKS),
getbool(options, 'lstrip_blocks', LSTRIP_BLOCKS),
NEWLINE_SEQUENCE,
getbool(options, 'keep_trailing_newline', KEEP_TRAILING_NEWLINE),
frozenset(extensions),
cache_size=0,
auto_reload=False
)
if getbool(options, 'trimmed'):
environment.policies['ext.i18n.trimmed'] = True
if getbool(options, 'newstyle_gettext'):
environment.newstyle_gettext = True
source = fileobj.read().decode(options.get('encoding', 'utf-8'))
try:
node = environment.parse(source)
tokens = list(environment.lex(environment.preprocess(source)))
except TemplateSyntaxError as e:
if not silent:
raise
# skip templates with syntax errors
return
finder = _CommentFinder(tokens, comment_tags)
for lineno, func, message in extract_from_ast(node, keywords):
yield lineno, func, message, finder.find_comments(lineno)
#: nicer import names
i18n = InternationalizationExtension
do = ExprStmtExtension
loopcontrols = LoopControlExtension
with_ = WithExtension
autoescape = AutoEscapeExtension | PypiClean |
/2b2t.py-1.7.6.tar.gz/2b2t.py-1.7.6/py2b/listCheck.py | import requests
from colorama import Fore, init
import threading
class listCheck():
def __init__(self, usernames, printOut=False):
self.usernames = usernames
self.printOut = printOut
init(convert=True)
def listBased(self, usernameList):
for username in usernameList:
self.check(username)
def check(self, username):
data = f'ign={username}'
headers = {
'Content-Type': 'application/x-www-form-urlencoded'
}
request = requests.request('POST', "https://donate.2b2t.org/category/738999", data=data, headers=headers)
if self.printOut:
if 'rate limited' in request.text:
print(Fore.LIGHTMAGENTA_EX + f"YOU'VE BEEN RATELIMITED!! :(")
elif 'not a valid' in request.text:
print(Fore.LIGHTRED_EX + f"{username} is not a valid username")
elif 'Unable' in request.text:
print(Fore.LIGHTRED_EX + f"Unable to find a player with the username: {input}")
elif 'banned' not in request.text:
print(Fore.LIGHTRED_EX + f"{username} is not currently banned")
else:
print(Fore.LIGHTGREEN_EX + f"{username} is currently banned")
else:
if 'rate limited' in request.text:
return 0
elif 'not a valid' in request.text:
return 1
elif 'Unable' in request.text:
return 2
elif 'banned' not in request.text:
return False
else:
return True
def l1(self):
for i in range(len(self.lines1)):
self.check(self.lines1[i])
def l2(self):
for i in range(len(self.lines2)):
self.check(self.lines2[i])
def start(self):
if self.usernames is list:
self.listBased(self.usernames)
else:
self.lines = [item.replace("\n", "") for item in open(self.usernames, 'r').readlines()]
self.lines1 = self.lines[:len(self.lines)//2]
self.lines2 = self.lines[len(self.lines)//2:]
self.threads = []
self.t1 = threading.Thread(target=self.l1)
self.t2 = threading.Thread(target=self.l2)
self.threads.append(self.t1)
self.threads.append(self.t2)
self.t1.start()
self.t2.start()
print(('\nFinished loading all threads.\n').center(119))
for x in self.threads:
x.join()
input(Fore.RESET + 'Finished Checking!') | PypiClean |
/MTPPy-1.1.1-py3-none-any.whl/mtppy/procedure.py | import logging
from mtppy.suc_data_assembly import *
class Procedure(SUCServiceProcedure):
def __init__(self, procedure_id: int, tag_name: str, tag_description: str = '', is_self_completing: bool = False,
is_default: bool = False):
"""
Represents a procedure of a service.
:param procedure_id: Procedure id.
:param tag_name: Tag name of the procedure.
:param tag_description: Tag description of the procedure.
:param is_self_completing: Self-completing or not.
:param is_default: Default or not.
"""
super().__init__(procedure_id, tag_name, tag_description, is_self_completing, is_default)
self.procedure_parameters = {}
self.process_value_ins = {}
self.report_values = {}
self.process_value_outs = {}
def add_procedure_parameter(self, procedure_parameter: SUCOperationElement):
"""
Adds a procedure parameter to the procedure.
:param procedure_parameter: Procedure parameter.
:return:
"""
if isinstance(procedure_parameter, SUCOperationElement):
self.procedure_parameters[procedure_parameter.tag_name] = procedure_parameter
else:
raise TypeError()
def add_procedure_value_in(self, process_value_in):
"""
Adds an value in to the procedure. NOT IMPLEMENTED.
:param process_value_in: Value in.
:return:
"""
raise NotImplementedError()
def add_report_value(self, report_value: SUCIndicatorElement):
"""
Adds a report value to the procedure.
:param report_value: Report value.
:return:
"""
if isinstance(report_value, SUCIndicatorElement):
self.report_values[report_value.tag_name] = report_value
else:
raise TypeError()
def add_procedure_value_out(self, process_value_out: SUCIndicatorElement):
"""
Adds an value out to the procedure.
:param process_value_out: Value in.
:return:
"""
if isinstance(process_value_out, SUCIndicatorElement):
self.process_value_outs[process_value_out.tag_name] = process_value_out
else:
raise TypeError()
def apply_procedure_parameters(self):
"""
Applies procedure parameters.
:return:
"""
logging.debug('Applying procedure parameters')
for procedure_parameter in self.procedure_parameters.values():
procedure_parameter.set_v_out() | PypiClean |
/AstroAugmentations-0.1.0.tar.gz/AstroAugmentations-0.1.0/astroaugmentations/datasets/galaxy_mnist.py | import os
from typing import Tuple, Any
import torch
import h5py
import numpy as np
from PIL import Image
from sklearn import model_selection
from torchvision.datasets.mnist import MNIST
class GalaxyMNIST(MNIST):
"""`GalaxyMNIST <https://github.com/mwalmsley/galaxy_mnist>`_ Dataset.
Based on MNIST/FashionMNIST torchvision datasets.
Args:
root (string): Root directory of dataset where ``GalaxyMNIST/raw/train_dataset.hdf5``
and ``GalaxyMNIST/raw/test_dataset.hdf5`` exist.
train (bool, optional): If True, creates dataset from ``GalaxyMNIST/raw/train_dataset.hdf5``,
otherwise from ``GalaxyMNIST/raw/test_dataset.hdf5``.
download (bool, optional): If True, downloads the dataset from the internet and
puts it in root directory. If dataset is already downloaded, it is not
downloaded again.
transform (callable, optional): A function/transform that takes in an PIL image
and returns a transformed version. E.g, ``transforms.RandomCrop``
target_transform (callable, optional): A function/transform that takes in the
target and transforms it.
"""
# simply overrides mirrors, resources, classes
mirrors = ["http://www.jb.man.ac.uk/research/MiraBest/MiraBest_F/"]
# check_integrity will skip md5 check if None
# don't bother with md5 until dataset definitely not changing? just set None
# https://github.com/pytorch/vision/blob/main/torchvision/datasets/utils.py#L416
resources = [
("train_dataset.hdf5.gz", None), # 'e408ae294e9b975482dc1abffeb373a6'
("test_dataset.hdf5.gz", None)
]
classes = ["smooth_round", "smooth_cigar", "edge_on_disk", "unbarred_spiral"]
def _check_legacy_exist(self):
# GalaxyMNIST has no legacy data (yet).
# Function exists for potential backwards compatibility only
return False
def _load_legacy_data(self):
raise NotImplementedError(
"""
GalaxyMNIST has no legacy data (yet).
Function exists for potential backwards compatibility only
"""
)
def _load_data(self):
"""
Reads the extracted {train/test}_dataset.hdf5.
Each hdf5 includes both the images and labels - see read_dataset_file.
This defines the canonical dataset (MNIST-style, as a standard reference)
To make your own tweaks (e.g. set a different train-test split, use ``load_custom_data``)
Returns:
images: torch uint8 tensor like NCHW, 8000 train images or 2000 test images
targets: torch uint64 tensor like N, 0-3 integer-encoded classes (see GalaxyMNIST.classes), similarly
"""
dataset_file = f"{'train' if self.train else 'test'}_dataset.hdf5"
images, targets = read_dataset_file(os.path.join(self.raw_folder, dataset_file))
return images, targets
def __getitem__(self, index: int) -> Tuple[Any, Any]:
"""
Copied from MNIST, except mode='P' not 'L' as it's RGB colour
Args:
index (int): Index
Returns:
tuple: (image, target) where target is index of the target class.
"""
img, target = self.data[index], int(self.targets[index])
# doing this so that it is consistent with all other datasets
# to return a PIL Image
img = Image.fromarray(img.numpy(), mode='RGB')
if self.transform is not None:
img = self.transform(image=img)['image']
if self.target_transform is not None:
target = self.target_transform(image=target)['image']
return img, target
def load_custom_data(self, test_size=0.2, stratify=False, random_state=42):
"""
Load GalaxyMNIST in a different way to the canonical GalaxyMNIST() (which is GalaxyMNIST._load_data())
Note - has no effect on GalaxyMNIST class itself e.g. self.data, self.targets, which are always canonical.
Use as a pure function only.
Args:
test_size (float, optional): Select test size/fraction as per sklearn.model_selection.train_test_split. Defaults to 0.2.
stratify (bool, optional): Force exactly even number of classes between splits. Defaults to False.
Returns:
(torch.tensor, torch.tensor): train dataset of labels and images like (NCHW, N), same format as self._load_data()
(torch.tensor, torch.tensor): test dataset of labels and images like (NCHW, N), same format as self._load_data()
"""
# mnist init uses self.train to control _load_data, so need to modify self.train
# need to do some bookkeeping to set it back afterwards
prev_self_train_state = self.train # bool is always ref-by-value
self.train = True
canonical_train_images, canonical_train_targets = self._load_data()
self.train = False
canonical_test_images, canonical_test_targets = self._load_data()
all_images = torch.cat([canonical_train_images, canonical_test_images], axis=0)
all_labels = torch.cat([canonical_train_targets, canonical_test_targets], axis=0)
self.train = prev_self_train_state # set self.train back how it was
# print(all_images.shape, all_labels.shape)
if stratify:
split_indices = model_selection.StratifiedShuffleSplit(n_splits=1, test_size=test_size, random_state=random_state).split(X=all_images, y=all_labels)
train_indices, test_indices = list(split_indices)[0]
train_images, train_labels, test_images, test_labels = all_images[train_indices], all_labels[train_indices], all_images[test_indices], all_labels[test_indices]
else:
train_images, train_labels, test_images, test_labels = model_selection.train_test_split(all_images, all_labels, test_size=test_size)
if self.train:
self.data, self.targets = (train_images, train_labels)
else:
self.data, self.targets = (test_images, test_labels)
return (train_images, train_labels), (test_images, test_labels)
def read_dataset_file(path: str) -> torch.Tensor:
"""
Read an hdf5 file containing galaxy images (under ``images`` and integer-encoded labels (under ``labels``)
Args:
path (str): path to read from (e.g. root/galaxyMNIST/train_dataset.hdf5)
Returns:
torch.Tensor: galaxy images, torch uint8 tensor like NCHW
torch.Tensor: torch uint64 tensor like N, 0-3 integer-encoded classes (see GalaxyMNIST.classes), similarly
"""
with h5py.File(path, 'r') as f:
images = f['images'][:]
# images are saved as NHWC convention
# (numpy/matplotlib being the tiebreaker for pytorch vs tensorflow)
# reorder axis to NCHW for pytorch convention
images = torch.from_numpy(images).type(torch.uint8).permute(0, 3, 1, 2)
assert images.ndimension() == 4
targets = f['labels'][:] # integer-encoded (from 0) according to GalaxyMNIST.classes
targets = torch.from_numpy(targets).type(torch.int64) # dtype consistent with mnist (same as tensor.long())
assert targets.ndimension() == 1
return images, targets
# TODO optionally, download or write jpgs? | PypiClean |
/AreaCode-1.0.0.tar.gz/AreaCode-1.0.0/ChinaArea/AreaCode.py |
__CHINA_AREA__ = [
{"parent_id": "N1", "children": [
{"parent_id": "P34", "children": [
{"parent_id": "C2", "children": [
{"parent_id": "D14", "children": [], "type": "A", "id": "A2712", "name": "南京东路"},
{"parent_id": "D14", "children": [], "type": "A", "id": "A1534", "name": "董家渡"},
{"parent_id": "D14", "children": [], "type": "A", "id": "A183", "name": "城隍庙"},
{"parent_id": "D14", "children": [], "type": "A", "id": "A2229", "name": "老西门"},
{"parent_id": "D14", "children": [], "type": "A", "id": "A3130", "name": "人民广场"},
{"parent_id": "D14", "children": [], "type": "A", "id": "A3486", "name": "外滩"}], "type": "D", "id": "D14", "name": "黄浦区"},
{"parent_id": "C2", "children": [
{"parent_id": "D15", "children": [], "type": "A", "id": "A2713", "name": "嘉定镇"},
{"parent_id": "D15", "children": [], "type": "A", "id": "A1535", "name": "丰庄/沃尔玛/嘉尚坊"},
{"parent_id": "D15", "children": [], "type": "A", "id": "A2230", "name": "黄渡镇"},
{"parent_id": "D15", "children": [], "type": "A", "id": "A184", "name": "博乐广场/罗宾森广场"},
{"parent_id": "D15", "children": [], "type": "A", "id": "A4", "name": "安亭"},
{"parent_id": "D15", "children": [], "type": "A", "id": "A4066", "name": "马陆镇"},
{"parent_id": "D15", "children": [], "type": "A", "id": "A3793", "name": "戬浜镇"},
{"parent_id": "D15", "children": [], "type": "A", "id": "A3131", "name": "江桥"},
{"parent_id": "D15", "children": [], "type": "A", "id": "A4301", "name": "南翔"},
{"parent_id": "D15", "children": [], "type": "A", "id": "A199", "name": "新源路"},
{"parent_id": "D15", "children": [], "type": "A", "id": "A3487", "name": "江桥万达广场"}], "type": "D", "id": "D15", "name": "嘉定区"},
{"parent_id": "C2", "children": [
{"parent_id": "D16", "children": [], "type": "A", "id": "A2714", "name": "同乐坊"},
{"parent_id": "D16", "children": [], "type": "A", "id": "A1536", "name": "静安寺"},
{"parent_id": "D16", "children": [], "type": "A", "id": "A2231", "name": "南京西路"},
{"parent_id": "D16", "children": [], "type": "A", "id": "A185", "name": "曹家渡"}], "type": "D", "id": "D16", "name": "静安区"},
{"parent_id": "C2", "children": [
{"parent_id": "D17", "children": [], "type": "A", "id": "A2715", "name": "蒙山路"},
{"parent_id": "D17", "children": [], "type": "A", "id": "A1537", "name": "金山新城"},
{"parent_id": "D17", "children": [], "type": "A", "id": "A2232", "name": "金山嘴"},
{"parent_id": "D17", "children": [], "type": "A", "id": "A186", "name": "百联金山购物中心"},
{"parent_id": "D17", "children": [], "type": "A", "id": "A4067", "name": "朱泾镇"},
{"parent_id": "D17", "children": [], "type": "A", "id": "A3794", "name": "卫零路"},
{"parent_id": "D17", "children": [], "type": "A", "id": "A3132", "name": "石化"},
{"parent_id": "D17", "children": [], "type": "A", "id": "A4302", "name": "朱行镇"},
{"parent_id": "D17", "children": [], "type": "A", "id": "A3488", "name": "卫清路"}], "type": "D", "id": "D17", "name": "金山区"},
{"parent_id": "C2", "children": [
{"parent_id": "D10", "children": [], "type": "A", "id": "A1530", "name": "动物园/虹桥机场"},
{"parent_id": "D10", "children": [], "type": "A", "id": "A3127", "name": "上海影城/新华路"},
{"parent_id": "D10", "children": [], "type": "A", "id": "A2709", "name": "虹桥"},
{"parent_id": "D10", "children": [], "type": "A", "id": "A179", "name": "北新泾"},
{"parent_id": "D10", "children": [], "type": "A", "id": "A2226", "name": "古北"},
{"parent_id": "D10", "children": [], "type": "A", "id": "A3790", "name": "中山公园"},
{"parent_id": "D10", "children": [], "type": "A", "id": "A3483", "name": "天山"}], "type": "D", "id": "D10", "name": "长宁区"},
{"parent_id": "C2", "children": [
{"parent_id": "D11", "children": [], "type": "A", "id": "A1531", "name": "南门"},
{"parent_id": "D11", "children": [], "type": "A", "id": "A180", "name": "堡镇"}], "type": "D", "id": "D11", "name": "崇明县"},
{"parent_id": "C2", "children": [
{"parent_id": "D12", "children": [], "type": "A", "id": "A2710", "name": "南桥镇"},
{"parent_id": "D12", "children": [], "type": "A", "id": "A1532", "name": "海湾旅游区"},
{"parent_id": "D12", "children": [], "type": "A", "id": "A181", "name": "奉城镇"},
{"parent_id": "D12", "children": [], "type": "A", "id": "A3128", "name": "南桥百联购物中心"},
{"parent_id": "D12", "children": [], "type": "A", "id": "A3", "name": "易买得"},
{"parent_id": "D12", "children": [], "type": "A", "id": "A2227", "name": "环城东路"},
{"parent_id": "D12", "children": [], "type": "A", "id": "A4064", "name": "南港路/正阳世纪星城"},
{"parent_id": "D12", "children": [], "type": "A", "id": "A3791", "name": "南桥新都汇"},
{"parent_id": "D12", "children": [], "type": "A", "id": "A4300", "name": "西渡镇"},
{"parent_id": "D12", "children": [], "type": "A", "id": "A198", "name": "庄行镇"},
{"parent_id": "D12", "children": [], "type": "A", "id": "A3484", "name": "南桥新城区"}], "type": "D", "id": "D12", "name": "奉贤区"},
{"parent_id": "C2", "children": [
{"parent_id": "D13", "children": [], "type": "A", "id": "A2711", "name": "凉城/江湾镇"},
{"parent_id": "D13", "children": [], "type": "A", "id": "A1533", "name": "虹口龙之梦"},
{"parent_id": "D13", "children": [], "type": "A", "id": "A182", "name": "北外滩"},
{"parent_id": "D13", "children": [], "type": "A", "id": "A3129", "name": "临平路/和平公园"},
{"parent_id": "D13", "children": [], "type": "A", "id": "A2228", "name": "海宁路/七浦路"},
{"parent_id": "D13", "children": [], "type": "A", "id": "A4065", "name": "四川北路"},
{"parent_id": "D13", "children": [], "type": "A", "id": "A3792", "name": "曲阳地区"},
{"parent_id": "D13", "children": [], "type": "A", "id": "A3485", "name": "鲁迅公园"}], "type": "D", "id": "D13", "name": "虹口区"},
{"parent_id": "C2", "children": [
{"parent_id": "D19", "children": [], "type": "A", "id": "A2717", "name": "虹梅路"},
{"parent_id": "D19", "children": [], "type": "A", "id": "A1539", "name": "虹桥镇"},
{"parent_id": "D19", "children": [], "type": "A", "id": "A904", "name": "颛桥/北桥"},
{"parent_id": "D19", "children": [], "type": "A", "id": "A2234", "name": "华漕镇"},
{"parent_id": "D19", "children": [], "type": "A", "id": "A430", "name": "吴泾镇"},
{"parent_id": "D19", "children": [], "type": "A", "id": "A188", "name": "春申地区"},
{"parent_id": "D19", "children": [], "type": "A", "id": "A5", "name": "浦江镇"},
{"parent_id": "D19", "children": [], "type": "A", "id": "A587", "name": "莘庄"},
{"parent_id": "D19", "children": [], "type": "A", "id": "A4068", "name": "万源城/东兰路"},
{"parent_id": "D19", "children": [], "type": "A", "id": "A3795", "name": "龙柏地区"},
{"parent_id": "D19", "children": [], "type": "A", "id": "A3134", "name": "交大闵行校区"},
{"parent_id": "D19", "children": [], "type": "A", "id": "A4303", "name": "南方商城"},
{"parent_id": "D19", "children": [], "type": "A", "id": "A3489", "name": "老闵行"},
{"parent_id": "D19", "children": [], "type": "A", "id": "A200", "name": "七宝"}], "type": "D", "id": "D19", "name": "闵行区"},
{"parent_id": "C2", "children": [
{"parent_id": "D18", "children": [], "type": "A", "id": "A2716", "name": "瑞金宾馆区"},
{"parent_id": "D18", "children": [], "type": "A", "id": "A1538", "name": "淮海路"},
{"parent_id": "D18", "children": [], "type": "A", "id": "A2233", "name": "日月光中心广场"},
{"parent_id": "D18", "children": [], "type": "A", "id": "A187", "name": "打浦桥"},
{"parent_id": "D18", "children": [], "type": "A", "id": "A3133", "name": "新天地"}], "type": "D", "id": "D18", "name": "卢湾区"},
{"parent_id": "C2", "children": [
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{"parent_id": "D9", "children": [], "type": "A", "id": "A3789", "name": "美兰湖"},
{"parent_id": "D9", "children": [], "type": "A", "id": "A3126", "name": "绿地风尚广场"},
{"parent_id": "D9", "children": [], "type": "A", "id": "A2", "name": "通河/泗塘"},
{"parent_id": "D9", "children": [], "type": "A", "id": "A2708", "name": "共富新村"},
{"parent_id": "D9", "children": [], "type": "A", "id": "A178", "name": "宝山万达广场"},
{"parent_id": "D9", "children": [], "type": "A", "id": "A4299", "name": "淞南/高境"},
{"parent_id": "D9", "children": [], "type": "A", "id": "A586", "name": "月浦镇"},
{"parent_id": "D9", "children": [], "type": "A", "id": "A2225", "name": "顾村公园"},
{"parent_id": "D9", "children": [], "type": "A", "id": "A4063", "name": "上海大学"},
{"parent_id": "D9", "children": [], "type": "A", "id": "A429", "name": "杨行镇"},
{"parent_id": "D9", "children": [], "type": "A", "id": "A197", "name": "宝山城区/吴淞"},
{"parent_id": "D9", "children": [], "type": "A", "id": "A3482", "name": "庙行镇"}], "type": "D", "id": "D9", "name": "宝山区"},
{"parent_id": "C2", "children": [
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{"parent_id": "D21", "children": [], "type": "A", "id": "A2236", "name": "梅川路"},
{"parent_id": "D21", "children": [], "type": "A", "id": "A4070", "name": "长风公园/华师大"},
{"parent_id": "D21", "children": [], "type": "A", "id": "A3491", "name": "长寿路"},
{"parent_id": "D21", "children": [], "type": "A", "id": "A1541", "name": "曹杨地区"},
{"parent_id": "D21", "children": [], "type": "A", "id": "A3797", "name": "中山北路/甘泉地区"},
{"parent_id": "D21", "children": [], "type": "A", "id": "A3136", "name": "月星环球港"},
{"parent_id": "D21", "children": [], "type": "A", "id": "A4305", "name": "真如"},
{"parent_id": "D21", "children": [], "type": "A", "id": "A190", "name": "百联中环/绿洲中环"}], "type": "D", "id": "D21", "name": "普陀区"},
{"parent_id": "C2", "children": [
{"parent_id": "D20", "children": [], "type": "A", "id": "A905", "name": "世纪公园"},
{"parent_id": "D20", "children": [], "type": "A", "id": "A2718", "name": "川沙"},
{"parent_id": "D20", "children": [], "type": "A", "id": "A1490", "name": "源深体育中心"},
{"parent_id": "D20", "children": [], "type": "A", "id": "A2235", "name": "碧云社区"},
{"parent_id": "D20", "children": [], "type": "A", "id": "A431", "name": "陆家嘴"},
{"parent_id": "D20", "children": [], "type": "A", "id": "A189", "name": "八佰伴"},
{"parent_id": "D20", "children": [], "type": "A", "id": "A6", "name": "金桥商业广场"},
{"parent_id": "D20", "children": [], "type": "A", "id": "A3490", "name": "惠南镇"},
{"parent_id": "D20", "children": [], "type": "A", "id": "A1394", "name": "外高桥"},
{"parent_id": "D20", "children": [], "type": "A", "id": "A1123", "name": "上南地区"},
{"parent_id": "D20", "children": [], "type": "A", "id": "A1331", "name": "塘桥"},
{"parent_id": "D20", "children": [], "type": "A", "id": "A588", "name": "临港新城/泥城"},
{"parent_id": "D20", "children": [], "type": "A", "id": "A1540", "name": "北蔡"},
{"parent_id": "D20", "children": [], "type": "A", "id": "A1547", "name": "张江"},
{"parent_id": "D20", "children": [], "type": "A", "id": "A4069", "name": "金桥"},
{"parent_id": "D20", "children": [], "type": "A", "id": "A1244", "name": "三林镇"},
{"parent_id": "D20", "children": [], "type": "A", "id": "A3796", "name": "航头"},
{"parent_id": "D20", "children": [], "type": "A", "id": "A3135", "name": "曹路"},
{"parent_id": "D20", "children": [], "type": "A", "id": "A4304", "name": "金杨地区"},
{"parent_id": "D20", "children": [], "type": "A", "id": "A1438", "name": "新场"},
{"parent_id": "D20", "children": [], "type": "A", "id": "A201", "name": "康桥/周浦"}], "type": "D", "id": "D20", "name": "浦东新区"},
{"parent_id": "C2", "children": [
{"parent_id": "D23", "children": [], "type": "A", "id": "A2238", "name": "江学路"},
{"parent_id": "D23", "children": [], "type": "A", "id": "A4071", "name": "松江镇"},
{"parent_id": "D23", "children": [], "type": "A", "id": "A432", "name": "泰晤士小镇"},
{"parent_id": "D23", "children": [], "type": "A", "id": "A7", "name": "松东路"},
{"parent_id": "D23", "children": [], "type": "A", "id": "A3492", "name": "荣乐中路"},
{"parent_id": "D23", "children": [], "type": "A", "id": "A906", "name": "新松江路"},
{"parent_id": "D23", "children": [], "type": "A", "id": "A1124", "name": "泗泾镇"},
{"parent_id": "D23", "children": [], "type": "A", "id": "A2721", "name": "开元地中海"},
{"parent_id": "D23", "children": [], "type": "A", "id": "A589", "name": "新桥"},
{"parent_id": "D23", "children": [], "type": "A", "id": "A1543", "name": "九亭"},
{"parent_id": "D23", "children": [], "type": "A", "id": "A1245", "name": "中山中路"},
{"parent_id": "D23", "children": [], "type": "A", "id": "A3798", "name": "人民北路"},
{"parent_id": "D23", "children": [], "type": "A", "id": "A3138", "name": "鹿都国际商业广场"},
{"parent_id": "D23", "children": [], "type": "A", "id": "A4306", "name": "松江大学城"},
{"parent_id": "D23", "children": [], "type": "A", "id": "A192", "name": "飞航广场"},
{"parent_id": "D23", "children": [], "type": "A", "id": "A202", "name": "佘山"}], "type": "D", "id": "D23", "name": "松江区"},
{"parent_id": "C2", "children": [
{"parent_id": "D22", "children": [], "type": "A", "id": "A2237", "name": "青浦城区"},
{"parent_id": "D22", "children": [], "type": "A", "id": "A2720", "name": "朱家角"},
{"parent_id": "D22", "children": [], "type": "A", "id": "A1542", "name": "华新镇"},
{"parent_id": "D22", "children": [], "type": "A", "id": "A3137", "name": "赵巷镇"},
{"parent_id": "D22", "children": [], "type": "A", "id": "A191", "name": "重固镇"}], "type": "D", "id": "D22", "name": "青浦区"},
{"parent_id": "C2", "children": [
{"parent_id": "D25", "children": [], "type": "A", "id": "A2723", "name": "五角场/大学区"},
{"parent_id": "D25", "children": [], "type": "A", "id": "A1545", "name": "控江地区"},
{"parent_id": "D25", "children": [], "type": "A", "id": "A194", "name": "黄兴公园"},
{"parent_id": "D25", "children": [], "type": "A", "id": "A2240", "name": "平凉路"},
{"parent_id": "D25", "children": [], "type": "A", "id": "A3140", "name": "中原地区"}], "type": "D", "id": "D25", "name": "杨浦区"},
{"parent_id": "C2", "children": [
{"parent_id": "D24", "children": [], "type": "A", "id": "A2239", "name": "光启城"},
{"parent_id": "D24", "children": [], "type": "A", "id": "A4072", "name": "徐家汇"},
{"parent_id": "D24", "children": [], "type": "A", "id": "A8", "name": "肇嘉浜路沿线"},
{"parent_id": "D24", "children": [], "type": "A", "id": "A3493", "name": "万体馆"},
{"parent_id": "D24", "children": [], "type": "A", "id": "A2722", "name": "衡山路"},
{"parent_id": "D24", "children": [], "type": "A", "id": "A1544", "name": "复兴西路/丁香花园"},
{"parent_id": "D24", "children": [], "type": "A", "id": "A3799", "name": "上海南站"},
{"parent_id": "D24", "children": [], "type": "A", "id": "A3139", "name": "龙华"},
{"parent_id": "D24", "children": [], "type": "A", "id": "A4307", "name": "音乐学院"},
{"parent_id": "D24", "children": [], "type": "A", "id": "A193", "name": "漕河泾/田林"}], "type": "D", "id": "D24", "name": "徐汇区"},
{"parent_id": "C2", "children": [
{"parent_id": "D26", "children": [], "type": "A", "id": "A4073", "name": "上海大学"},
{"parent_id": "D26", "children": [], "type": "A", "id": "A2241", "name": "大悦城"},
{"parent_id": "D26", "children": [], "type": "A", "id": "A9", "name": "西藏北路/中兴路"},
{"parent_id": "D26", "children": [], "type": "A", "id": "A3494", "name": "彭浦镇"},
{"parent_id": "D26", "children": [], "type": "A", "id": "A2724", "name": "火车站"},
{"parent_id": "D26", "children": [], "type": "A", "id": "A3800", "name": "市北工业园/汶水路"},
{"parent_id": "D26", "children": [], "type": "A", "id": "A1546", "name": "大宁国际"},
{"parent_id": "D26", "children": [], "type": "A", "id": "A4308", "name": "盛源生活广场"},
{"parent_id": "D26", "children": [], "type": "A", "id": "A195", "name": "北区汽车站"},
{"parent_id": "D26", "children": [], "type": "A", "id": "A3141", "name": "彭浦新村"},
{"parent_id": "D26", "children": [], "type": "A", "id": "A203", "name": "闸北公园"}], "type": "D", "id": "D26", "name": "闸北区"}], "type": "C", "id": "C2", "name": "上海"}], "type": "P", "id": "P34", "name": "上海"},
{"parent_id": "N1", "children": [
{"parent_id": "P1", "children": [
{"parent_id": "C1", "children": [], "type": "D", "id": "D138", "name": "门头沟"},
{"parent_id": "C1", "children": [], "type": "D", "id": "D139", "name": "密云县"},
{"parent_id": "C1", "children": [
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{"parent_id": "D130", "children": [], "type": "A", "id": "A387", "name": "北七家"},
{"parent_id": "D130", "children": [], "type": "A", "id": "A3165", "name": "沙河"},
{"parent_id": "D130", "children": [], "type": "A", "id": "A3822", "name": "小汤山镇"},
{"parent_id": "D130", "children": [], "type": "A", "id": "A1610", "name": "昌平镇"},
{"parent_id": "D130", "children": [], "type": "A", "id": "A2751", "name": "南口镇"},
{"parent_id": "D130", "children": [], "type": "A", "id": "A3516", "name": "天通苑"}], "type": "D", "id": "D130", "name": "昌平区"},
{"parent_id": "C1", "children": [
{"parent_id": "D131", "children": [], "type": "A", "id": "A3823", "name": "北京东站"},
{"parent_id": "D131", "children": [], "type": "A", "id": "A915", "name": "对外经贸"},
{"parent_id": "D131", "children": [], "type": "A", "id": "A1912", "name": "立水桥"},
{"parent_id": "D131", "children": [], "type": "A", "id": "A3097", "name": "悠唐生活广场"},
{"parent_id": "D131", "children": [], "type": "A", "id": "A2691", "name": "首都机场"},
{"parent_id": "D131", "children": [], "type": "A", "id": "A2313", "name": "双桥"},
{"parent_id": "D131", "children": [], "type": "A", "id": "A1495", "name": "高碑店"},
{"parent_id": "D131", "children": [], "type": "A", "id": "A2674", "name": "四惠"},
{"parent_id": "D131", "children": [], "type": "A", "id": "A2180", "name": "潘家园"},
{"parent_id": "D131", "children": [], "type": "A", "id": "A1703", "name": "建外大街"},
{"parent_id": "D131", "children": [], "type": "A", "id": "A596", "name": "大望路"},
{"parent_id": "D131", "children": [], "type": "A", "id": "A1551", "name": "酒仙桥"},
{"parent_id": "D131", "children": [], "type": "A", "id": "A2804", "name": "望京"},
{"parent_id": "D131", "children": [], "type": "A", "id": "A4090", "name": "朝外大街"},
{"parent_id": "D131", "children": [], "type": "A", "id": "A2212", "name": "三里屯"},
{"parent_id": "D131", "children": [], "type": "A", "id": "A2275", "name": "百子湾"},
{"parent_id": "D131", "children": [], "type": "A", "id": "A2043", "name": "蓝色港湾"},
{"parent_id": "D131", "children": [], "type": "A", "id": "A1252", "name": "东坝"},
{"parent_id": "D131", "children": [], "type": "A", "id": "A2785", "name": "甜水园"},
{"parent_id": "D131", "children": [], "type": "A", "id": "A3120", "name": "左家庄"},
{"parent_id": "D131", "children": [], "type": "A", "id": "A2243", "name": "三元桥"},
{"parent_id": "D131", "children": [], "type": "A", "id": "A1446", "name": "工体"},
{"parent_id": "D131", "children": [], "type": "A", "id": "A2509", "name": "十里堡"},
{"parent_id": "D131", "children": [], "type": "A", "id": "A3109", "name": "燕莎"},
{"parent_id": "D131", "children": [], "type": "A", "id": "A20", "name": "朝阳公园"},
{"parent_id": "D131", "children": [], "type": "A", "id": "A3039", "name": "霄云路"},
{"parent_id": "D131", "children": [], "type": "A", "id": "A3166", "name": "八里庄"},
{"parent_id": "D131", "children": [], "type": "A", "id": "A1400", "name": "管庄"},
{"parent_id": "D131", "children": [], "type": "A", "id": "A213", "name": "传媒大学"},
{"parent_id": "D131", "children": [], "type": "A", "id": "A2606", "name": "十里河"},
{"parent_id": "D131", "children": [], "type": "A", "id": "A2153", "name": "农业展览馆"},
{"parent_id": "D131", "children": [], "type": "A", "id": "A2701", "name": "太阳宫"},
{"parent_id": "D131", "children": [], "type": "A", "id": "A1611", "name": "北苑家园"},
{"parent_id": "D131", "children": [], "type": "A", "id": "A2725", "name": "团结湖"},
{"parent_id": "D131", "children": [], "type": "A", "id": "A1133", "name": "大屯"},
{"parent_id": "D131", "children": [], "type": "A", "id": "A2110", "name": "亮马桥"},
{"parent_id": "D131", "children": [], "type": "A", "id": "A1652", "name": "劲松"},
{"parent_id": "D131", "children": [], "type": "A", "id": "A1337", "name": "国贸"},
{"parent_id": "D131", "children": [], "type": "A", "id": "A2687", "name": "四惠东"},
{"parent_id": "D131", "children": [], "type": "A", "id": "A2340", "name": "十八里店"},
{"parent_id": "D131", "children": [], "type": "A", "id": "A2648", "name": "石佛营"},
{"parent_id": "D131", "children": [], "type": "A", "id": "A2192", "name": "双井"},
{"parent_id": "D131", "children": [], "type": "A", "id": "A441", "name": "常营"},
{"parent_id": "D131", "children": [], "type": "A", "id": "A2959", "name": "小营"},
{"parent_id": "D131", "children": [], "type": "A", "id": "A3076", "name": "亚运村"},
{"parent_id": "D131", "children": [], "type": "A", "id": "A3517", "name": "北沙滩"},
{"parent_id": "D131", "children": [], "type": "A", "id": "A4322", "name": "朝阳大悦城"},
{"parent_id": "D131", "children": [], "type": "A", "id": "A3112", "name": "姚家园"},
{"parent_id": "D131", "children": [], "type": "A", "id": "A388", "name": "安贞"},
{"parent_id": "D131", "children": [], "type": "A", "id": "A2752", "name": "北京欢乐谷"}], "type": "D", "id": "D131", "name": "朝阳区"},
{"parent_id": "C1", "children": [
{"parent_id": "D132", "children": [], "type": "A", "id": "A2276", "name": "西红门"},
{"parent_id": "D132", "children": [], "type": "A", "id": "A389", "name": "黄村"},
{"parent_id": "D132", "children": [], "type": "A", "id": "A1612", "name": "旧宫"},
{"parent_id": "D132", "children": [], "type": "A", "id": "A2753", "name": "亦庄"}], "type": "D", "id": "D132", "name": "大兴区"},
{"parent_id": "C1", "children": [
{"parent_id": "D133", "children": [], "type": "A", "id": "A916", "name": "天坛"},
{"parent_id": "D133", "children": [], "type": "A", "id": "A597", "name": "沙子口"},
{"parent_id": "D133", "children": [], "type": "A", "id": "A4091", "name": "广渠门"},
{"parent_id": "D133", "children": [], "type": "A", "id": "A2277", "name": "崇文门"},
{"parent_id": "D133", "children": [], "type": "A", "id": "A1253", "name": "雍和宫"},
{"parent_id": "D133", "children": [], "type": "A", "id": "A21", "name": "建国门/北京站"},
{"parent_id": "D133", "children": [], "type": "A", "id": "A390", "name": "安定门"},
{"parent_id": "D133", "children": [], "type": "A", "id": "A1134", "name": "王府井/东单"},
{"parent_id": "D133", "children": [], "type": "A", "id": "A3167", "name": "东直门"},
{"parent_id": "D133", "children": [], "type": "A", "id": "A214", "name": "南锣鼓巷"},
{"parent_id": "D133", "children": [], "type": "A", "id": "A3824", "name": "东四"},
{"parent_id": "D133", "children": [], "type": "A", "id": "A1613", "name": "北新桥/簋街"},
{"parent_id": "D133", "children": [], "type": "A", "id": "A1338", "name": "左安门"},
{"parent_id": "D133", "children": [], "type": "A", "id": "A442", "name": "前门/大栅栏"},
{"parent_id": "D133", "children": [], "type": "A", "id": "A3518", "name": "东四十条"},
{"parent_id": "D133", "children": [], "type": "A", "id": "A4323", "name": "和平里"},
{"parent_id": "D133", "children": [], "type": "A", "id": "A2754", "name": "朝阳门"}], "type": "D", "id": "D133", "name": "东城区"},
{"parent_id": "C1", "children": [], "type": "D", "id": "D134", "name": "房山区"},
{"parent_id": "C1", "children": [
{"parent_id": "D135", "children": [], "type": "A", "id": "A917", "name": "洋桥/木樨园"},
{"parent_id": "D135", "children": [], "type": "A", "id": "A598", "name": "夏家胡同/纪家庙"},
{"parent_id": "D135", "children": [], "type": "A", "id": "A4092", "name": "北京南站/开阳里"},
{"parent_id": "D135", "children": [], "type": "A", "id": "A2278", "name": "草桥/公益西桥"},
{"parent_id": "D135", "children": [], "type": "A", "id": "A22", "name": "丽泽桥/丰管路"},
{"parent_id": "D135", "children": [], "type": "A", "id": "A391", "name": "北京西站/六里桥"},
{"parent_id": "D135", "children": [], "type": "A", "id": "A3168", "name": "方庄/蒲黄榆"},
{"parent_id": "D135", "children": [], "type": "A", "id": "A215", "name": "马家堡/角门"},
{"parent_id": "D135", "children": [], "type": "A", "id": "A3825", "name": "看丹桥"},
{"parent_id": "D135", "children": [], "type": "A", "id": "A1614", "name": "北大地/万丰路"},
{"parent_id": "D135", "children": [], "type": "A", "id": "A443", "name": "青塔"},
{"parent_id": "D135", "children": [], "type": "A", "id": "A3519", "name": "分钟寺/成寿寺"},
{"parent_id": "D135", "children": [], "type": "A", "id": "A2755", "name": "大红门"},
{"parent_id": "D135", "children": [], "type": "A", "id": "A4324", "name": "刘家窑/宋家庄"}], "type": "D", "id": "D135", "name": "丰台区"},
{"parent_id": "C1", "children": [
{"parent_id": "D136", "children": [], "type": "A", "id": "A918", "name": "苏州桥"},
{"parent_id": "D136", "children": [], "type": "A", "id": "A1913", "name": "中关村"},
{"parent_id": "D136", "children": [], "type": "A", "id": "A1496", "name": "学院路"},
{"parent_id": "D136", "children": [], "type": "A", "id": "A1704", "name": "颐和园"},
{"parent_id": "D136", "children": [], "type": "A", "id": "A599", "name": "双榆树"},
{"parent_id": "D136", "children": [], "type": "A", "id": "A1552", "name": "香山/植物园"},
{"parent_id": "D136", "children": [], "type": "A", "id": "A4093", "name": "农业大学西区"},
{"parent_id": "D136", "children": [], "type": "A", "id": "A3520", "name": "公主坟/万寿路"},
{"parent_id": "D136", "children": [], "type": "A", "id": "A2279", "name": "北京大学"},
{"parent_id": "D136", "children": [], "type": "A", "id": "A2044", "name": "紫竹桥"},
{"parent_id": "D136", "children": [], "type": "A", "id": "A1254", "name": "五棵松"},
{"parent_id": "D136", "children": [], "type": "A", "id": "A23", "name": "人民大学"},
{"parent_id": "D136", "children": [], "type": "A", "id": "A392", "name": "牡丹园/北太平庄"},
{"parent_id": "D136", "children": [], "type": "A", "id": "A3169", "name": "大钟寺"},
{"parent_id": "D136", "children": [], "type": "A", "id": "A1401", "name": "万柳"},
{"parent_id": "D136", "children": [], "type": "A", "id": "A216", "name": "上地"},
{"parent_id": "D136", "children": [], "type": "A", "id": "A3826", "name": "航天桥"},
{"parent_id": "D136", "children": [], "type": "A", "id": "A1615", "name": "北下关"},
{"parent_id": "D136", "children": [], "type": "A", "id": "A1135", "name": "五道口"},
{"parent_id": "D136", "children": [], "type": "A", "id": "A2111", "name": "知春路"},
{"parent_id": "D136", "children": [], "type": "A", "id": "A1653", "name": "远大路"},
{"parent_id": "D136", "children": [], "type": "A", "id": "A1339", "name": "魏公村"},
{"parent_id": "D136", "children": [], "type": "A", "id": "A444", "name": "四季青"},
{"parent_id": "D136", "children": [], "type": "A", "id": "A4325", "name": "清河"},
{"parent_id": "D136", "children": [], "type": "A", "id": "A1451", "name": "西三旗"},
{"parent_id": "D136", "children": [], "type": "A", "id": "A2756", "name": "北京西站/军博"}], "type": "D", "id": "D136", "name": "海淀区"},
{"parent_id": "C1", "children": [], "type": "D", "id": "D137", "name": "怀柔区"},
{"parent_id": "C1", "children": [], "type": "D", "id": "D142", "name": "顺义区"},
{"parent_id": "C1", "children": [], "type": "D", "id": "D145", "name": "延庆县"},
{"parent_id": "C1", "children": [
{"parent_id": "D141", "children": [], "type": "A", "id": "A393", "name": "古城/八角"},
{"parent_id": "D141", "children": [], "type": "A", "id": "A1616", "name": "鲁谷"},
{"parent_id": "D141", "children": [], "type": "A", "id": "A2757", "name": "苹果园"},
{"parent_id": "D141", "children": [], "type": "A", "id": "A2280", "name": "模式口"}], "type": "D", "id": "D141", "name": "石景山区"},
{"parent_id": "C1", "children": [], "type": "D", "id": "D140", "name": "平谷区"},
{"parent_id": "C1", "children": [
{"parent_id": "D143", "children": [], "type": "A", "id": "A3521", "name": "新华大街"},
{"parent_id": "D143", "children": [], "type": "A", "id": "A394", "name": "果园"},
{"parent_id": "D143", "children": [], "type": "A", "id": "A3827", "name": "新华联"},
{"parent_id": "D143", "children": [], "type": "A", "id": "A1617", "name": "九棵树"},
{"parent_id": "D143", "children": [], "type": "A", "id": "A3170", "name": "武夷花园"},
{"parent_id": "D143", "children": [], "type": "A", "id": "A2758", "name": "通州北苑"},
{"parent_id": "D143", "children": [], "type": "A", "id": "A2281", "name": "梨园"}], "type": "D", "id": "D143", "name": "通州区"},
{"parent_id": "C1", "children": [
{"parent_id": "D144", "children": [], "type": "A", "id": "A919", "name": "新街口"},
{"parent_id": "D144", "children": [], "type": "A", "id": "A1340", "name": "月坛/金融街"},
{"parent_id": "D144", "children": [], "type": "A", "id": "A4094", "name": "后海/什刹海"},
{"parent_id": "D144", "children": [], "type": "A", "id": "A3522", "name": "广外大街"},
{"parent_id": "D144", "children": [], "type": "A", "id": "A1255", "name": "西四"},
{"parent_id": "D144", "children": [], "type": "A", "id": "A24", "name": "牛街"},
{"parent_id": "D144", "children": [], "type": "A", "id": "A395", "name": "菜市口/陶然亭"},
{"parent_id": "D144", "children": [], "type": "A", "id": "A1402", "name": "右安门"},
{"parent_id": "D144", "children": [], "type": "A", "id": "A217", "name": "前门/大栅栏"},
{"parent_id": "D144", "children": [], "type": "A", "id": "A3828", "name": "广内大街"},
{"parent_id": "D144", "children": [], "type": "A", "id": "A1618", "name": "德外大街"},
{"parent_id": "D144", "children": [], "type": "A", "id": "A1136", "name": "宣武门"},
{"parent_id": "D144", "children": [], "type": "A", "id": "A445", "name": "西单"},
{"parent_id": "D144", "children": [], "type": "A", "id": "A4326", "name": "虎坊桥"},
{"parent_id": "D144", "children": [], "type": "A", "id": "A600", "name": "西直门/动物园"},
{"parent_id": "D144", "children": [], "type": "A", "id": "A3171", "name": "复兴门"},
{"parent_id": "D144", "children": [], "type": "A", "id": "A2759", "name": "阜成门"},
{"parent_id": "D144", "children": [], "type": "A", "id": "A2282", "name": "地安门"}], "type": "D", "id": "D144", "name": "西城区"}], "type": "C", "id": "C1", "name": "北京"}], "type": "P", "id": "P1", "name": "北京"},
{"parent_id": "N1", "children": [
{"parent_id": "P3", "children": [], "type": "C", "id": "C119", "name": "丽水"},
{"parent_id": "P3", "children": [
{"parent_id": "C118", "children": [
{"parent_id": "D416", "children": [], "type": "A", "id": "A3609", "name": "院桥镇"},
{"parent_id": "D416", "children": [], "type": "A", "id": "A3270", "name": "北城区"},
{"parent_id": "D416", "children": [], "type": "A", "id": "A2413", "name": "南城区"},
{"parent_id": "D416", "children": [], "type": "A", "id": "A1789", "name": "东城区"},
{"parent_id": "D416", "children": [], "type": "A", "id": "A705", "name": "黄岩中心城区"},
{"parent_id": "D416", "children": [], "type": "A", "id": "A2873", "name": "西城区"}], "type": "D", "id": "D416", "name": "黄岩区"},
{"parent_id": "C118", "children": [
{"parent_id": "D417", "children": [], "type": "A", "id": "A3271", "name": "老城区"},
{"parent_id": "D417", "children": [], "type": "A", "id": "A2414", "name": "商业街"},
{"parent_id": "D417", "children": [], "type": "A", "id": "A1790", "name": "西商务区"},
{"parent_id": "D417", "children": [], "type": "A", "id": "A2874", "name": "十字马路"},
{"parent_id": "D417", "children": [], "type": "A", "id": "A706", "name": "东商务区"}], "type": "D", "id": "D417", "name": "椒江区"},
{"parent_id": "C118", "children": [
{"parent_id": "D422", "children": [], "type": "A", "id": "A2417", "name": "泽国镇"},
{"parent_id": "D422", "children": [], "type": "A", "id": "A1793", "name": "温岭市区"},
{"parent_id": "D422", "children": [], "type": "A", "id": "A709", "name": "九龙区"},
{"parent_id": "D422", "children": [], "type": "A", "id": "A2876", "name": "大溪镇"}], "type": "D", "id": "D422", "name": "温岭市"},
{"parent_id": "C118", "children": [], "type": "D", "id": "D423", "name": "仙居县"},
{"parent_id": "C118", "children": [], "type": "D", "id": "D420", "name": "三门县"},
{"parent_id": "C118", "children": [], "type": "D", "id": "D424", "name": "玉环县"},
{"parent_id": "C118", "children": [], "type": "D", "id": "D421", "name": "天台县"},
{"parent_id": "C118", "children": [
{"parent_id": "D419", "children": [], "type": "A", "id": "A3272", "name": "金清镇"},
{"parent_id": "D419", "children": [], "type": "A", "id": "A2416", "name": "国际塑料城"},
{"parent_id": "D419", "children": [], "type": "A", "id": "A1792", "name": "石浜公园"},
{"parent_id": "D419", "children": [], "type": "A", "id": "A708", "name": "富仕广场"},
{"parent_id": "D419", "children": [], "type": "A", "id": "A2875", "name": "会展中心"}], "type": "D", "id": "D419", "name": "路桥区"},
{"parent_id": "C118", "children": [
{"parent_id": "D418", "children": [], "type": "A", "id": "A2415", "name": "临海市区"},
{"parent_id": "D418", "children": [], "type": "A", "id": "A1791", "name": "杜桥镇"},
{"parent_id": "D418", "children": [], "type": "A", "id": "A707", "name": "大洋新区"}], "type": "D", "id": "D418", "name": "临海市"}], "type": "C", "id": "C118", "name": "台州"},
{"parent_id": "P3", "children": [
{"parent_id": "C117", "children": [
{"parent_id": "D415", "children": [], "type": "A", "id": "A701", "name": "嵊泗列岛"}], "type": "D", "id": "D415", "name": "嵊泗县"},
{"parent_id": "C117", "children": [
{"parent_id": "D414", "children": [], "type": "A", "id": "A3608", "name": "海华路"},
{"parent_id": "D414", "children": [], "type": "A", "id": "A4381", "name": "东港贸易城"},
{"parent_id": "D414", "children": [], "type": "A", "id": "A2412", "name": "沈家门"},
{"parent_id": "D414", "children": [], "type": "A", "id": "A281", "name": "沈家门渔港"},
{"parent_id": "D414", "children": [], "type": "A", "id": "A980", "name": "碧海莲缘/欧尚"},
{"parent_id": "D414", "children": [], "type": "A", "id": "A730", "name": "同济路"},
{"parent_id": "D414", "children": [], "type": "A", "id": "A1788", "name": "普陀山"},
{"parent_id": "D414", "children": [], "type": "A", "id": "A1274", "name": "朱家尖"},
{"parent_id": "D414", "children": [], "type": "A", "id": "A1170", "name": "渔市大街"},
{"parent_id": "D414", "children": [], "type": "A", "id": "A3269", "name": "兴建路"},
{"parent_id": "D414", "children": [], "type": "A", "id": "A500", "name": "海州路"},
{"parent_id": "D414", "children": [], "type": "A", "id": "A4163", "name": "京汇广场/海天广场"},
{"parent_id": "D414", "children": [], "type": "A", "id": "A3904", "name": "海莲路"},
{"parent_id": "D414", "children": [], "type": "A", "id": "A2872", "name": "国际水产城"},
{"parent_id": "D414", "children": [], "type": "A", "id": "A72", "name": "海印路"},
{"parent_id": "D414", "children": [], "type": "A", "id": "A700", "name": "东海中路"}], "type": "D", "id": "D414", "name": "普陀区"},
{"parent_id": "C117", "children": [
{"parent_id": "D413", "children": [], "type": "A", "id": "A3607", "name": "体育路"},
{"parent_id": "D413", "children": [], "type": "A", "id": "A4380", "name": "教育学院"},
{"parent_id": "D413", "children": [], "type": "A", "id": "A1349", "name": "解放路"},
{"parent_id": "D413", "children": [], "type": "A", "id": "A1169", "name": "环城东路"},
{"parent_id": "D413", "children": [], "type": "A", "id": "A2411", "name": "工农路"},
{"parent_id": "D413", "children": [], "type": "A", "id": "A280", "name": "昌国路"},
{"parent_id": "D413", "children": [], "type": "A", "id": "A699", "name": "港岛路"},
{"parent_id": "D413", "children": [], "type": "A", "id": "A1574", "name": "中大街"},
{"parent_id": "D413", "children": [], "type": "A", "id": "A1469", "name": "人民南路"},
{"parent_id": "D413", "children": [], "type": "A", "id": "A1787", "name": "人民中路"},
{"parent_id": "D413", "children": [], "type": "A", "id": "A1273", "name": "芙蓉洲路"},
{"parent_id": "D413", "children": [], "type": "A", "id": "A499", "name": "文化路"},
{"parent_id": "D413", "children": [], "type": "A", "id": "A3268", "name": "乐购"},
{"parent_id": "D413", "children": [], "type": "A", "id": "A4162", "name": "海天大道"},
{"parent_id": "D413", "children": [], "type": "A", "id": "A1505", "name": "海洋学院"},
{"parent_id": "D413", "children": [], "type": "A", "id": "A3903", "name": "千岛海鲜美食广场"},
{"parent_id": "D413", "children": [], "type": "A", "id": "A729", "name": "千岛路"},
{"parent_id": "D413", "children": [], "type": "A", "id": "A2871", "name": "海宇道"},
{"parent_id": "D413", "children": [], "type": "A", "id": "A979", "name": "太平洋百货"},
{"parent_id": "D413", "children": [], "type": "A", "id": "A71", "name": "环城南路"},
{"parent_id": "D413", "children": [], "type": "A", "id": "A1411", "name": "文化广场"}], "type": "D", "id": "D413", "name": "定海区"},
{"parent_id": "C117", "children": [], "type": "D", "id": "D412", "name": "岱山县"}], "type": "C", "id": "C117", "name": "舟山"},
{"parent_id": "P3", "children": [
{"parent_id": "C116", "children": [], "type": "D", "id": "D410", "name": "龙游县"},
{"parent_id": "C116", "children": [], "type": "D", "id": "D408", "name": "开化县"},
{"parent_id": "C116", "children": [
{"parent_id": "D409", "children": [], "type": "A", "id": "A2410", "name": "北区"},
{"parent_id": "D409", "children": [], "type": "A", "id": "A698", "name": "巨化区"},
{"parent_id": "D409", "children": [], "type": "A", "id": "A1786", "name": "西区"},
{"parent_id": "D409", "children": [], "type": "A", "id": "A3267", "name": "南区"},
{"parent_id": "D409", "children": [], "type": "A", "id": "A2870", "name": "市区"}], "type": "D", "id": "D409", "name": "柯城区"},
{"parent_id": "C116", "children": [], "type": "D", "id": "D407", "name": "江山市"},
{"parent_id": "C116", "children": [], "type": "D", "id": "D411", "name": "衢江区"},
{"parent_id": "C116", "children": [], "type": "D", "id": "D406", "name": "常山县"}], "type": "C", "id": "C116", "name": "衢州"},
{"parent_id": "P3", "children": [
{"parent_id": "C115", "children": [], "type": "D", "id": "D404", "name": "义乌市"},
{"parent_id": "C115", "children": [], "type": "D", "id": "D400", "name": "磐安县"},
{"parent_id": "C115", "children": [], "type": "D", "id": "D401", "name": "浦江县"},
{"parent_id": "C115", "children": [
{"parent_id": "D402", "children": [], "type": "A", "id": "A695", "name": "江南"},
{"parent_id": "D402", "children": [], "type": "A", "id": "A1783", "name": "江北"}], "type": "D", "id": "D402", "name": "婺城区"},
{"parent_id": "C115", "children": [
{"parent_id": "D405", "children": [], "type": "A", "id": "A3606", "name": "高镇商业区"},
{"parent_id": "D405", "children": [], "type": "A", "id": "A1168", "name": "芝英镇"},
{"parent_id": "D405", "children": [], "type": "A", "id": "A697", "name": "步行街"},
{"parent_id": "D405", "children": [], "type": "A", "id": "A2869", "name": "大润发/老华联"},
{"parent_id": "D405", "children": [], "type": "A", "id": "A1785", "name": "城东路"},
{"parent_id": "D405", "children": [], "type": "A", "id": "A1272", "name": "总部中心"},
{"parent_id": "D405", "children": [], "type": "A", "id": "A4379", "name": "龙川公园"},
{"parent_id": "D405", "children": [], "type": "A", "id": "A498", "name": "五金城"},
{"parent_id": "D405", "children": [], "type": "A", "id": "A978", "name": "香樟公园"},
{"parent_id": "D405", "children": [], "type": "A", "id": "A279", "name": "望春东路"},
{"parent_id": "D405", "children": [], "type": "A", "id": "A3266", "name": "东站"},
{"parent_id": "D405", "children": [], "type": "A", "id": "A2409", "name": "长城工业区"},
{"parent_id": "D405", "children": [], "type": "A", "id": "A4161", "name": "九铃中路"},
{"parent_id": "D405", "children": [], "type": "A", "id": "A3902", "name": "古山镇"},
{"parent_id": "D405", "children": [], "type": "A", "id": "A728", "name": "西站"},
{"parent_id": "D405", "children": [], "type": "A", "id": "A70", "name": "南苑路/农贸市场"}], "type": "D", "id": "D405", "name": "永康市"},
{"parent_id": "C115", "children": [
{"parent_id": "D403", "children": [], "type": "A", "id": "A696", "name": "白洋渡"},
{"parent_id": "D403", "children": [], "type": "A", "id": "A1784", "name": "桐琴镇"}], "type": "D", "id": "D403", "name": "武义县"},
{"parent_id": "C115", "children": [], "type": "D", "id": "D398", "name": "金东区"},
{"parent_id": "C115", "children": [], "type": "D", "id": "D399", "name": "兰溪市"},
{"parent_id": "C115", "children": [
{"parent_id": "D397", "children": [], "type": "A", "id": "A694", "name": "横店商圈"},
{"parent_id": "D397", "children": [], "type": "A", "id": "A1782", "name": "江南商圈"},
{"parent_id": "D397", "children": [], "type": "A", "id": "A2408", "name": "江北商圈"}], "type": "D", "id": "D397", "name": "东阳市"}], "type": "C", "id": "C115", "name": "金华"},
{"parent_id": "P3", "children": [
{"parent_id": "C114", "children": [
{"parent_id": "D391", "children": [], "type": "A", "id": "A3602", "name": "恒利菜场"},
{"parent_id": "D391", "children": [], "type": "A", "id": "A690", "name": "百官"},
{"parent_id": "D391", "children": [], "type": "A", "id": "A726", "name": "新大通"},
{"parent_id": "D391", "children": [], "type": "A", "id": "A2865", "name": "财富大厦"},
{"parent_id": "D391", "children": [], "type": "A", "id": "A4375", "name": "时代广场"},
{"parent_id": "D391", "children": [], "type": "A", "id": "A495", "name": "文化广场"},
{"parent_id": "D391", "children": [], "type": "A", "id": "A67", "name": "上虞江东路"},
{"parent_id": "D391", "children": [], "type": "A", "id": "A976", "name": "新建路"},
{"parent_id": "D391", "children": [], "type": "A", "id": "A276", "name": "万和城"},
{"parent_id": "D391", "children": [], "type": "A", "id": "A3262", "name": "国际大酒店"},
{"parent_id": "D391", "children": [], "type": "A", "id": "A2404", "name": "便民中心"},
{"parent_id": "D391", "children": [], "type": "A", "id": "A1778", "name": "步行街"},
{"parent_id": "D391", "children": [], "type": "A", "id": "A3898", "name": "江扬路"},
{"parent_id": "D391", "children": [], "type": "A", "id": "A4157", "name": "开发区"}], "type": "D", "id": "D391", "name": "上虞区"},
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{"parent_id": "D392", "children": [], "type": "A", "id": "A4158", "name": "明珠路"},
{"parent_id": "D392", "children": [], "type": "A", "id": "A691", "name": "笛扬路"},
{"parent_id": "D392", "children": [], "type": "A", "id": "A2866", "name": "鉴湖景园"},
{"parent_id": "D392", "children": [], "type": "A", "id": "A4376", "name": "万达广场"},
{"parent_id": "D392", "children": [], "type": "A", "id": "A3263", "name": "柯桥"},
{"parent_id": "D392", "children": [], "type": "A", "id": "A2405", "name": "鉴湖路"},
{"parent_id": "D392", "children": [], "type": "A", "id": "A1779", "name": "湖西路"},
{"parent_id": "D392", "children": [], "type": "A", "id": "A3899", "name": "蓝天市心广场"}], "type": "D", "id": "D392", "name": "绍兴县"},
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{"parent_id": "C114", "children": [], "type": "D", "id": "D394", "name": "新昌县"},
{"parent_id": "C114", "children": [
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{"parent_id": "D395", "children": [], "type": "A", "id": "A3604", "name": "城东体育中心"},
{"parent_id": "D395", "children": [], "type": "A", "id": "A1167", "name": "火车站"},
{"parent_id": "D395", "children": [], "type": "A", "id": "A1348", "name": "后观巷"},
{"parent_id": "D395", "children": [], "type": "A", "id": "A2419", "name": "中兴南路"},
{"parent_id": "D395", "children": [], "type": "A", "id": "A4159", "name": "东街"},
{"parent_id": "D395", "children": [], "type": "A", "id": "A2182", "name": "塔山"},
{"parent_id": "D395", "children": [], "type": "A", "id": "A692", "name": "城南"},
{"parent_id": "D395", "children": [], "type": "A", "id": "A2255", "name": "新建北路"},
{"parent_id": "D395", "children": [], "type": "A", "id": "A1573", "name": "客运中心"},
{"parent_id": "D395", "children": [], "type": "A", "id": "A2213", "name": "咸亨新天地"},
{"parent_id": "D395", "children": [], "type": "A", "id": "A1468", "name": "解放北路"},
{"parent_id": "D395", "children": [], "type": "A", "id": "A1800", "name": "袍江"},
{"parent_id": "D395", "children": [], "type": "A", "id": "A2867", "name": "城市广场"},
{"parent_id": "D395", "children": [], "type": "A", "id": "A1780", "name": "城东"},
{"parent_id": "D395", "children": [], "type": "A", "id": "A2065", "name": "人民路"},
{"parent_id": "D395", "children": [], "type": "A", "id": "A1271", "name": "河山桥环岛"},
{"parent_id": "D395", "children": [], "type": "A", "id": "A4377", "name": "大龙市场"},
{"parent_id": "D395", "children": [], "type": "A", "id": "A496", "name": "府山西路"},
{"parent_id": "D395", "children": [], "type": "A", "id": "A2540", "name": "中兴北路"},
{"parent_id": "D395", "children": [], "type": "A", "id": "A68", "name": "大滩"},
{"parent_id": "D395", "children": [], "type": "A", "id": "A977", "name": "国际摩尔城"},
{"parent_id": "D395", "children": [], "type": "A", "id": "A2156", "name": "胜利西路"},
{"parent_id": "D395", "children": [], "type": "A", "id": "A277", "name": "迪荡新城"},
{"parent_id": "D395", "children": [], "type": "A", "id": "A3264", "name": "仓桥直街"},
{"parent_id": "D395", "children": [], "type": "A", "id": "A2118", "name": "世茂广场"},
{"parent_id": "D395", "children": [], "type": "A", "id": "A1674", "name": "劳动路"},
{"parent_id": "D395", "children": [], "type": "A", "id": "A2327", "name": "延安环岛"},
{"parent_id": "D395", "children": [], "type": "A", "id": "A2406", "name": "昌安立交桥"},
{"parent_id": "D395", "children": [], "type": "A", "id": "A1504", "name": "金时代广场"},
{"parent_id": "D395", "children": [], "type": "A", "id": "A3900", "name": "大校场沿"},
{"parent_id": "D395", "children": [], "type": "A", "id": "A727", "name": "府横街"},
{"parent_id": "D395", "children": [], "type": "A", "id": "A1410", "name": "环城西路"},
{"parent_id": "D395", "children": [], "type": "A", "id": "A2204", "name": "投醪河"}], "type": "D", "id": "D395", "name": "越城区"},
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{"parent_id": "D396", "children": [], "type": "A", "id": "A693", "name": "大润发"},
{"parent_id": "D396", "children": [], "type": "A", "id": "A2868", "name": "店口镇"},
{"parent_id": "D396", "children": [], "type": "A", "id": "A1781", "name": "大唐"},
{"parent_id": "D396", "children": [], "type": "A", "id": "A4378", "name": "三角广场"},
{"parent_id": "D396", "children": [], "type": "A", "id": "A497", "name": "西施故里"},
{"parent_id": "D396", "children": [], "type": "A", "id": "A69", "name": "三都镇"},
{"parent_id": "D396", "children": [], "type": "A", "id": "A278", "name": "望云路"},
{"parent_id": "D396", "children": [], "type": "A", "id": "A3265", "name": "郭家"},
{"parent_id": "D396", "children": [], "type": "A", "id": "A2407", "name": "第一百货"},
{"parent_id": "D396", "children": [], "type": "A", "id": "A4160", "name": "客运中心"},
{"parent_id": "D396", "children": [], "type": "A", "id": "A3901", "name": "暨阳路"}], "type": "D", "id": "D396", "name": "诸暨市"}], "type": "C", "id": "C114", "name": "绍兴"},
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{"parent_id": "D389", "children": [], "type": "A", "id": "A1166", "name": "织里镇"},
{"parent_id": "D389", "children": [], "type": "A", "id": "A2863", "name": "莲花庄"},
{"parent_id": "D389", "children": [], "type": "A", "id": "A4374", "name": "星海名城"},
{"parent_id": "D389", "children": [], "type": "A", "id": "A494", "name": "仁皇山"},
{"parent_id": "D389", "children": [], "type": "A", "id": "A66", "name": "太湖路"},
{"parent_id": "D389", "children": [], "type": "A", "id": "A275", "name": "太湖度假区"},
{"parent_id": "D389", "children": [], "type": "A", "id": "A3260", "name": "湖东"},
{"parent_id": "D389", "children": [], "type": "A", "id": "A688", "name": "市中心"},
{"parent_id": "D389", "children": [], "type": "A", "id": "A2402", "name": "府庙"},
{"parent_id": "D389", "children": [], "type": "A", "id": "A725", "name": "凤凰"},
{"parent_id": "D389", "children": [], "type": "A", "id": "A1776", "name": "市陌"},
{"parent_id": "D389", "children": [], "type": "A", "id": "A3897", "name": "米兰"},
{"parent_id": "D389", "children": [], "type": "A", "id": "A975", "name": "加利广场"},
{"parent_id": "D389", "children": [], "type": "A", "id": "A4156", "name": "康城国际"}], "type": "D", "id": "D389", "name": "吴兴区"},
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{"parent_id": "C113", "children": [], "type": "D", "id": "D387", "name": "安吉县"},
{"parent_id": "C113", "children": [], "type": "D", "id": "D386", "name": "德清县"},
{"parent_id": "C113", "children": [
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{"parent_id": "D390", "children": [], "type": "A", "id": "A2864", "name": "古城街"},
{"parent_id": "D390", "children": [], "type": "A", "id": "A3261", "name": "北门"},
{"parent_id": "D390", "children": [], "type": "A", "id": "A2403", "name": "明珠路"},
{"parent_id": "D390", "children": [], "type": "A", "id": "A1777", "name": "轻纺城"},
{"parent_id": "D390", "children": [], "type": "A", "id": "A689", "name": "城西"}], "type": "D", "id": "D390", "name": "长兴县"}], "type": "C", "id": "C113", "name": "湖州"},
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{"parent_id": "C112", "children": [
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{"parent_id": "D382", "children": [], "type": "A", "id": "A1165", "name": "三水湾"},
{"parent_id": "D382", "children": [], "type": "A", "id": "A1347", "name": "旭辉广场"},
{"parent_id": "D382", "children": [], "type": "A", "id": "A3258", "name": "华庭街"},
{"parent_id": "D382", "children": [], "type": "A", "id": "A1572", "name": "中山西路"},
{"parent_id": "D382", "children": [], "type": "A", "id": "A1467", "name": "友谊街"},
{"parent_id": "D382", "children": [], "type": "A", "id": "A2861", "name": "放鹤洲"},
{"parent_id": "D382", "children": [], "type": "A", "id": "A1270", "name": "文化体育中心"},
{"parent_id": "D382", "children": [], "type": "A", "id": "A4373", "name": "江南太阳城"},
{"parent_id": "D382", "children": [], "type": "A", "id": "A493", "name": "欧尚"},
{"parent_id": "D382", "children": [], "type": "A", "id": "A1409", "name": "月河"},
{"parent_id": "D382", "children": [], "type": "A", "id": "A65", "name": "梅湾街"},
{"parent_id": "D382", "children": [], "type": "A", "id": "A274", "name": "南湖"},
{"parent_id": "D382", "children": [], "type": "A", "id": "A1673", "name": "中港城"},
{"parent_id": "D382", "children": [], "type": "A", "id": "A2400", "name": "城北路"},
{"parent_id": "D382", "children": [], "type": "A", "id": "A3598", "name": "火车站"},
{"parent_id": "D382", "children": [], "type": "A", "id": "A1503", "name": "中山东路"},
{"parent_id": "D382", "children": [], "type": "A", "id": "A724", "name": "汽车西站"},
{"parent_id": "D382", "children": [], "type": "A", "id": "A1773", "name": "城南路"},
{"parent_id": "D382", "children": [], "type": "A", "id": "A685", "name": "巴黎都市"},
{"parent_id": "D382", "children": [], "type": "A", "id": "A3895", "name": "洪兴路"},
{"parent_id": "D382", "children": [], "type": "A", "id": "A1799", "name": "紫阳街"},
{"parent_id": "D382", "children": [], "type": "A", "id": "A974", "name": "汽车北站"},
{"parent_id": "D382", "children": [], "type": "A", "id": "A4154", "name": "吉水路"}], "type": "D", "id": "D382", "name": "南湖区"},
{"parent_id": "C112", "children": [
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{"parent_id": "D381", "children": [], "type": "A", "id": "A4153", "name": "西塘"},
{"parent_id": "D381", "children": [], "type": "A", "id": "A3894", "name": "体育路"},
{"parent_id": "D381", "children": [], "type": "A", "id": "A2399", "name": "人民大道"},
{"parent_id": "D381", "children": [], "type": "A", "id": "A2860", "name": "市中心"},
{"parent_id": "D381", "children": [], "type": "A", "id": "A3597", "name": "谈公路"},
{"parent_id": "D381", "children": [], "type": "A", "id": "A1772", "name": "解放路"},
{"parent_id": "D381", "children": [], "type": "A", "id": "A684", "name": "晋阳路"}], "type": "D", "id": "D381", "name": "嘉善县"},
{"parent_id": "C112", "children": [], "type": "D", "id": "D380", "name": "海盐县"},
{"parent_id": "C112", "children": [
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{"parent_id": "D385", "children": [], "type": "A", "id": "A687", "name": "江南摩尔"}], "type": "D", "id": "D385", "name": "秀洲区"},
{"parent_id": "C112", "children": [
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{"parent_id": "D384", "children": [], "type": "A", "id": "A3259", "name": "市政府"},
{"parent_id": "D384", "children": [], "type": "A", "id": "A2862", "name": "庆丰南路"},
{"parent_id": "D384", "children": [], "type": "A", "id": "A2401", "name": "庆丰北路"},
{"parent_id": "D384", "children": [], "type": "A", "id": "A3599", "name": "乌镇"},
{"parent_id": "D384", "children": [], "type": "A", "id": "A1774", "name": "复兴路"},
{"parent_id": "D384", "children": [], "type": "A", "id": "A4155", "name": "濮院"},
{"parent_id": "D384", "children": [], "type": "A", "id": "A686", "name": "东兴"}], "type": "D", "id": "D384", "name": "桐乡市"},
{"parent_id": "C112", "children": [
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{"parent_id": "D379", "children": [], "type": "A", "id": "A2398", "name": "工人路步行街"},
{"parent_id": "D379", "children": [], "type": "A", "id": "A3596", "name": "银泰城"},
{"parent_id": "D379", "children": [], "type": "A", "id": "A1771", "name": "东山"},
{"parent_id": "D379", "children": [], "type": "A", "id": "A683", "name": "百合新城"},
{"parent_id": "D379", "children": [], "type": "A", "id": "A2859", "name": "火车站"}], "type": "D", "id": "D379", "name": "海宁市"}], "type": "C", "id": "C112", "name": "嘉兴"},
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{"parent_id": "C111", "children": [], "type": "D", "id": "D368", "name": "苍南县"},
{"parent_id": "C111", "children": [], "type": "D", "id": "D378", "name": "乐清市"},
{"parent_id": "C111", "children": [
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{"parent_id": "D372", "children": [], "type": "A", "id": "A680", "name": "大学城"}], "type": "D", "id": "D372", "name": "瓯海区"},
{"parent_id": "C111", "children": [], "type": "D", "id": "D373", "name": "平阳县"},
{"parent_id": "C111", "children": [
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{"parent_id": "D370", "children": [], "type": "A", "id": "A678", "name": "万达广场"}], "type": "D", "id": "D370", "name": "龙湾区"},
{"parent_id": "C111", "children": [
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{"parent_id": "D371", "children": [], "type": "A", "id": "A1164", "name": "汤家桥"},
{"parent_id": "D371", "children": [], "type": "A", "id": "A3893", "name": "江滨东路"},
{"parent_id": "D371", "children": [], "type": "A", "id": "A1346", "name": "望江路"},
{"parent_id": "D371", "children": [], "type": "A", "id": "A3255", "name": "江滨西路"},
{"parent_id": "D371", "children": [], "type": "A", "id": "A2397", "name": "黄龙"},
{"parent_id": "D371", "children": [], "type": "A", "id": "A1768", "name": "茶山"},
{"parent_id": "D371", "children": [], "type": "A", "id": "A1571", "name": "学院路"},
{"parent_id": "D371", "children": [], "type": "A", "id": "A679", "name": "车站大道"},
{"parent_id": "D371", "children": [], "type": "A", "id": "A1466", "name": "下吕浦"},
{"parent_id": "D371", "children": [], "type": "A", "id": "A2064", "name": "银泰百货"},
{"parent_id": "D371", "children": [], "type": "A", "id": "A4372", "name": "马鞍池"},
{"parent_id": "D371", "children": [], "type": "A", "id": "A492", "name": "水心"},
{"parent_id": "D371", "children": [], "type": "A", "id": "A1408", "name": "吴桥路"},
{"parent_id": "D371", "children": [], "type": "A", "id": "A64", "name": "欧洲城"},
{"parent_id": "D371", "children": [], "type": "A", "id": "A973", "name": "上陡门"},
{"parent_id": "D371", "children": [], "type": "A", "id": "A273", "name": "蒲鞋市"},
{"parent_id": "D371", "children": [], "type": "A", "id": "A1672", "name": "信河街"},
{"parent_id": "D371", "children": [], "type": "A", "id": "A3595", "name": "江心屿"},
{"parent_id": "D371", "children": [], "type": "A", "id": "A1502", "name": "新城"},
{"parent_id": "D371", "children": [], "type": "A", "id": "A723", "name": "双屿"},
{"parent_id": "D371", "children": [], "type": "A", "id": "A4152", "name": "鹿城路"},
{"parent_id": "D371", "children": [], "type": "A", "id": "A2858", "name": "锦绣路"},
{"parent_id": "D371", "children": [], "type": "A", "id": "A1798", "name": "西城路"},
{"parent_id": "D371", "children": [], "type": "A", "id": "A1269", "name": "五马街/大南门"}], "type": "D", "id": "D371", "name": "鹿城区"},
{"parent_id": "C111", "children": [], "type": "D", "id": "D376", "name": "文成县"},
{"parent_id": "C111", "children": [
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{"parent_id": "C111", "children": [
{"parent_id": "D374", "children": [], "type": "A", "id": "A1770", "name": "塘下"},
{"parent_id": "D374", "children": [], "type": "A", "id": "A681", "name": "瑞安市区"}], "type": "D", "id": "D374", "name": "瑞安市"},
{"parent_id": "C111", "children": [], "type": "D", "id": "D375", "name": "泰顺县"}], "type": "C", "id": "C111", "name": "温州"},
{"parent_id": "P3", "children": [], "type": "C", "id": "C135", "name": "嘉善"},
{"parent_id": "P3", "children": [], "type": "C", "id": "C134", "name": "兰溪"},
{"parent_id": "P3", "children": [], "type": "C", "id": "C137", "name": "安吉"},
{"parent_id": "P3", "children": [], "type": "C", "id": "C136", "name": "海宁"},
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{"parent_id": "P3", "children": [], "type": "C", "id": "C133", "name": "桐乡"},
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{"parent_id": "P3", "children": [], "type": "C", "id": "C138", "name": "江山"},
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{"parent_id": "D365", "children": [], "type": "A", "id": "A271", "name": "舟宿渡"},
{"parent_id": "D365", "children": [], "type": "A", "id": "A3593", "name": "印象城/麦德龙"},
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{"parent_id": "D366", "children": [], "type": "A", "id": "A3254", "name": "胜山路"},
{"parent_id": "D366", "children": [], "type": "A", "id": "A2395", "name": "富达广场"},
{"parent_id": "D366", "children": [], "type": "A", "id": "A1765", "name": "东旱门路"},
{"parent_id": "D366", "children": [], "type": "A", "id": "A676", "name": "滨江路"},
{"parent_id": "D366", "children": [], "type": "A", "id": "A4371", "name": "文山路"},
{"parent_id": "D366", "children": [], "type": "A", "id": "A63", "name": "阳明西路"},
{"parent_id": "D366", "children": [], "type": "A", "id": "A272", "name": "舜大财富广场"},
{"parent_id": "D366", "children": [], "type": "A", "id": "A3594", "name": "四明西路"},
{"parent_id": "D366", "children": [], "type": "A", "id": "A2856", "name": "南雷路"},
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{"parent_id": "D361", "children": [], "type": "A", "id": "A2392", "name": "来福士广场"},
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{"parent_id": "D361", "children": [], "type": "A", "id": "A672", "name": "大剧院"},
{"parent_id": "D361", "children": [], "type": "A", "id": "A3591", "name": "日湖公园"},
{"parent_id": "D361", "children": [], "type": "A", "id": "A2853", "name": "老外滩"}], "type": "D", "id": "D361", "name": "江北区"},
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{"parent_id": "D360", "children": [], "type": "A", "id": "A2391", "name": "鼓楼"},
{"parent_id": "D360", "children": [], "type": "A", "id": "A1760", "name": "翠柏路沿线"},
{"parent_id": "D360", "children": [], "type": "A", "id": "A671", "name": "城隍庙"},
{"parent_id": "D360", "children": [], "type": "A", "id": "A4368", "name": "西门口"},
{"parent_id": "D360", "children": [], "type": "A", "id": "A60", "name": "月湖盛园"},
{"parent_id": "D360", "children": [], "type": "A", "id": "A4148", "name": "天一广场"},
{"parent_id": "D360", "children": [], "type": "A", "id": "A3590", "name": "南塘老街"},
{"parent_id": "D360", "children": [], "type": "A", "id": "A2852", "name": "海曙欧尚"},
{"parent_id": "D360", "children": [], "type": "A", "id": "A3889", "name": "汽车南站"}], "type": "D", "id": "D360", "name": "海曙区"},
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{"parent_id": "D362", "children": [], "type": "A", "id": "A3252", "name": "高新区"},
{"parent_id": "D362", "children": [], "type": "A", "id": "A2393", "name": "儿童公园"},
{"parent_id": "D362", "children": [], "type": "A", "id": "A1762", "name": "彩虹广场"},
{"parent_id": "D362", "children": [], "type": "A", "id": "A673", "name": "滨江商业广场"},
{"parent_id": "D362", "children": [], "type": "A", "id": "A491", "name": "兴宁时代广场"},
{"parent_id": "D362", "children": [], "type": "A", "id": "A61", "name": "体育中心"},
{"parent_id": "D362", "children": [], "type": "A", "id": "A270", "name": "兴宁路"},
{"parent_id": "D362", "children": [], "type": "A", "id": "A4149", "name": "汽车东站"},
{"parent_id": "D362", "children": [], "type": "A", "id": "A3592", "name": "和丰创意广场"},
{"parent_id": "D362", "children": [], "type": "A", "id": "A2854", "name": "国际会展中心"},
{"parent_id": "D362", "children": [], "type": "A", "id": "A4369", "name": "世纪东方广场"}], "type": "D", "id": "D362", "name": "江东区"},
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{"parent_id": "C110", "children": [
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{"parent_id": "D359", "children": [], "type": "A", "id": "A269", "name": "新城大道"},
{"parent_id": "D359", "children": [], "type": "A", "id": "A3589", "name": "坎墩街道"},
{"parent_id": "D359", "children": [], "type": "A", "id": "A2390", "name": "古塘街道"},
{"parent_id": "D359", "children": [], "type": "A", "id": "A670", "name": "白沙路街道"},
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{"parent_id": "D359", "children": [], "type": "A", "id": "A722", "name": "周巷"},
{"parent_id": "D359", "children": [], "type": "A", "id": "A1759", "name": "观海卫"},
{"parent_id": "D359", "children": [], "type": "A", "id": "A2851", "name": "浒山街道"},
{"parent_id": "D359", "children": [], "type": "A", "id": "A4367", "name": "三北西大街"},
{"parent_id": "D359", "children": [], "type": "A", "id": "A972", "name": "宗汉街道"},
{"parent_id": "D359", "children": [], "type": "A", "id": "A3888", "name": "青少年宫路"}], "type": "D", "id": "D359", "name": "慈溪市"}], "type": "C", "id": "C110", "name": "宁波"},
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{"parent_id": "D928", "children": [], "type": "A", "id": "A1113", "name": "彩虹城"},
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{"parent_id": "D934", "children": [], "type": "A", "id": "A2034", "name": "复兴路沿线"},
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{"parent_id": "D937", "children": [], "type": "A", "id": "A551", "name": "湘湖"},
{"parent_id": "D937", "children": [], "type": "A", "id": "A361", "name": "闻堰"},
{"parent_id": "D937", "children": [], "type": "A", "id": "A3723", "name": "加州阳光"},
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{"parent_id": "D937", "children": [], "type": "A", "id": "A4251", "name": "市心南路"},
{"parent_id": "D937", "children": [], "type": "A", "id": "A1119", "name": "北干"},
{"parent_id": "D937", "children": [], "type": "A", "id": "A4458", "name": "市心北路"},
{"parent_id": "D937", "children": [], "type": "A", "id": "A3035", "name": "国际机场"},
{"parent_id": "D937", "children": [], "type": "A", "id": "A2036", "name": "城厢"},
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{"parent_id": "D939", "children": [], "type": "A", "id": "A1121", "name": "临平"},
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{"parent_id": "D930", "children": [], "type": "A", "id": "A3400", "name": "德胜路沿线"},
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{"parent_id": "D930", "children": [], "type": "A", "id": "A3719", "name": "拱宸桥/上塘"},
{"parent_id": "D930", "children": [], "type": "A", "id": "A3031", "name": "石祥路/沈半路沿线"},
{"parent_id": "D930", "children": [], "type": "A", "id": "A2031", "name": "城西银泰城"},
{"parent_id": "D930", "children": [], "type": "A", "id": "A4002", "name": "湖墅南路"}], "type": "D", "id": "D930", "name": "拱墅区"},
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{"parent_id": "D931", "children": [], "type": "A", "id": "A550", "name": "新塘路/秋涛路沿线"},
{"parent_id": "D931", "children": [], "type": "A", "id": "A360", "name": "下沙"},
{"parent_id": "D931", "children": [], "type": "A", "id": "A3720", "name": "九堡"},
{"parent_id": "D931", "children": [], "type": "A", "id": "A4250", "name": "钱江新城"},
{"parent_id": "D931", "children": [], "type": "A", "id": "A1115", "name": "城东"},
{"parent_id": "D931", "children": [], "type": "A", "id": "A4457", "name": "四季青"},
{"parent_id": "D931", "children": [], "type": "A", "id": "A139", "name": "天城路沿线"},
{"parent_id": "D931", "children": [], "type": "A", "id": "A3032", "name": "艮山西路"},
{"parent_id": "D931", "children": [], "type": "A", "id": "A2032", "name": "丁桥"},
{"parent_id": "D931", "children": [], "type": "A", "id": "A4003", "name": "凯旋路/机场路沿线"}], "type": "D", "id": "D931", "name": "江干区"},
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{"parent_id": "D932", "children": [], "type": "A", "id": "A2033", "name": "建德市"}], "type": "D", "id": "D932", "name": "近郊"},
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{"parent_id": "D936", "children": [], "type": "A", "id": "A3403", "name": "武林广场"},
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{"parent_id": "D936", "children": [], "type": "A", "id": "A1118", "name": "凤起路沿线"},
{"parent_id": "D936", "children": [], "type": "A", "id": "A3034", "name": "体育场路沿线"},
{"parent_id": "D936", "children": [], "type": "A", "id": "A2035", "name": "建国路沿线"},
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{"parent_id": "D938", "children": [], "type": "A", "id": "A141", "name": "万塘路"},
{"parent_id": "D938", "children": [], "type": "A", "id": "A3724", "name": "三墩镇"},
{"parent_id": "D938", "children": [], "type": "A", "id": "A1074", "name": "转塘"},
{"parent_id": "D938", "children": [], "type": "A", "id": "A4459", "name": "文二路沿线"},
{"parent_id": "D938", "children": [], "type": "A", "id": "A2601", "name": "教工路/学院路"},
{"parent_id": "D938", "children": [], "type": "A", "id": "A1120", "name": "古墩路沿线"},
{"parent_id": "D938", "children": [], "type": "A", "id": "A811", "name": "西城广场"},
{"parent_id": "D938", "children": [], "type": "A", "id": "A3036", "name": "龙井/虎跑"},
{"parent_id": "D938", "children": [], "type": "A", "id": "A2037", "name": "高新文教区"},
{"parent_id": "D938", "children": [], "type": "A", "id": "A552", "name": "西溪"},
{"parent_id": "D938", "children": [], "type": "A", "id": "A362", "name": "西湖北线/黄龙"},
{"parent_id": "D938", "children": [], "type": "A", "id": "A4007", "name": "文三路沿线"}], "type": "D", "id": "D938", "name": "西湖区"}], "type": "C", "id": "C314", "name": "杭州"},
{"parent_id": "P3", "children": [], "type": "C", "id": "C128", "name": "临海"},
{"parent_id": "P3", "children": [], "type": "C", "id": "C129", "name": "德清"},
{"parent_id": "P3", "children": [], "type": "C", "id": "C122", "name": "慈溪"},
{"parent_id": "P3", "children": [], "type": "C", "id": "C123", "name": "东阳"},
{"parent_id": "P3", "children": [
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{"parent_id": "C120", "children": [], "type": "D", "id": "D429", "name": "大陈镇"},
{"parent_id": "C120", "children": [], "type": "D", "id": "D426", "name": "城西街道"},
{"parent_id": "C120", "children": [
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{"parent_id": "D427", "children": [], "type": "A", "id": "A1794", "name": "贝村"},
{"parent_id": "D427", "children": [], "type": "A", "id": "A710", "name": "绣湖"}], "type": "D", "id": "D427", "name": "稠城街道"},
{"parent_id": "C120", "children": [], "type": "D", "id": "D425", "name": "北苑街道"},
{"parent_id": "C120", "children": [], "type": "D", "id": "D435", "name": "苏溪镇"},
{"parent_id": "C120", "children": [], "type": "D", "id": "D434", "name": "上溪镇"},
{"parent_id": "C120", "children": [], "type": "D", "id": "D436", "name": "义亭镇"},
{"parent_id": "C120", "children": [], "type": "D", "id": "D431", "name": "后宅街道"},
{"parent_id": "C120", "children": [], "type": "D", "id": "D430", "name": "佛堂镇"},
{"parent_id": "C120", "children": [], "type": "D", "id": "D433", "name": "廿三里街道"},
{"parent_id": "C120", "children": [], "type": "D", "id": "D432", "name": "江东街道"}], "type": "C", "id": "C120", "name": "义乌"},
{"parent_id": "P3", "children": [], "type": "C", "id": "C121", "name": "长兴"},
{"parent_id": "P3", "children": [], "type": "C", "id": "C126", "name": "永康"},
{"parent_id": "P3", "children": [], "type": "C", "id": "C127", "name": "余姚"},
{"parent_id": "P3", "children": [], "type": "C", "id": "C124", "name": "上虞"},
{"parent_id": "P3", "children": [], "type": "C", "id": "C125", "name": "温岭"},
{"parent_id": "P3", "children": [], "type": "C", "id": "C140", "name": "宁海"},
{"parent_id": "P3", "children": [], "type": "C", "id": "C141", "name": "平湖"}], "type": "P", "id": "P3", "name": "浙江"},
{"parent_id": "N1", "children": [
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{"parent_id": "C373", "children": [
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{"parent_id": "D990", "children": [], "type": "A", "id": "A1213", "name": "和燕路"}], "type": "D", "id": "D990", "name": "下关区"},
{"parent_id": "C373", "children": [
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{"parent_id": "D215", "children": [], "type": "A", "id": "A459", "name": "铁东"},
{"parent_id": "D215", "children": [], "type": "A", "id": "A2323", "name": "江北公园"},
{"parent_id": "D215", "children": [], "type": "A", "id": "A2792", "name": "龙潭区政府"}], "type": "D", "id": "D215", "name": "龙潭区"},
{"parent_id": "C373", "children": [], "type": "D", "id": "D214", "name": "蛟河市"},
{"parent_id": "C373", "children": [], "type": "D", "id": "D217", "name": "舒兰市"},
{"parent_id": "C373", "children": [], "type": "D", "id": "D216", "name": "磐石市"},
{"parent_id": "C373", "children": [
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{"parent_id": "D211", "children": [], "type": "A", "id": "A4111", "name": "冯家屯"},
{"parent_id": "D211", "children": [], "type": "A", "id": "A3197", "name": "解放中路"},
{"parent_id": "D211", "children": [], "type": "A", "id": "A3542", "name": "中东新生活"},
{"parent_id": "D211", "children": [], "type": "A", "id": "A4339", "name": "临江门"},
{"parent_id": "D211", "children": [], "type": "A", "id": "A230", "name": "河南街"},
{"parent_id": "D211", "children": [], "type": "A", "id": "A457", "name": "大东门"},
{"parent_id": "D211", "children": [], "type": "A", "id": "A3846", "name": "德胜门"},
{"parent_id": "D211", "children": [], "type": "A", "id": "A2321", "name": "青岛街"},
{"parent_id": "D211", "children": [], "type": "A", "id": "A466", "name": "光华路"},
{"parent_id": "D211", "children": [], "type": "A", "id": "A2790", "name": "儿童公园"},
{"parent_id": "D211", "children": [], "type": "A", "id": "A34", "name": "长春路"}], "type": "D", "id": "D211", "name": "船营区"},
{"parent_id": "C373", "children": [
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{"parent_id": "D210", "children": [], "type": "A", "id": "A456", "name": "东市场"},
{"parent_id": "D210", "children": [], "type": "A", "id": "A4110", "name": "昌邑区政府"},
{"parent_id": "D210", "children": [], "type": "A", "id": "A3196", "name": "桃园广场"},
{"parent_id": "D210", "children": [], "type": "A", "id": "A3541", "name": "财富广场"},
{"parent_id": "D210", "children": [], "type": "A", "id": "A2789", "name": "天津街"},
{"parent_id": "D210", "children": [], "type": "A", "id": "A3845", "name": "解放东路"},
{"parent_id": "D210", "children": [], "type": "A", "id": "A2320", "name": "解放北路"}], "type": "D", "id": "D210", "name": "昌邑区"},
{"parent_id": "C373", "children": [], "type": "D", "id": "D213", "name": "桦甸市"},
{"parent_id": "C373", "children": [
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{"parent_id": "D212", "children": [], "type": "A", "id": "A1663", "name": "泰山路"},
{"parent_id": "D212", "children": [], "type": "A", "id": "A458", "name": "世纪广场"},
{"parent_id": "D212", "children": [], "type": "A", "id": "A2322", "name": "恒山路"},
{"parent_id": "D212", "children": [], "type": "A", "id": "A2791", "name": "厦门街"}], "type": "D", "id": "D212", "name": "丰满区"},
{"parent_id": "C373", "children": [], "type": "D", "id": "D218", "name": "永吉县"},
{"parent_id": "C373", "children": [
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{"parent_id": "D991", "children": [], "type": "A", "id": "A1214", "name": "火车站/玄武湖"},
{"parent_id": "D991", "children": [], "type": "A", "id": "A2629", "name": "珠江路沿线"}], "type": "D", "id": "D991", "name": "玄武区"},
{"parent_id": "C373", "children": [
{"parent_id": "D983", "children": [], "type": "A", "id": "A3422", "name": "三牌楼"},
{"parent_id": "D983", "children": [], "type": "A", "id": "A2623", "name": "南大/南师大"},
{"parent_id": "D983", "children": [], "type": "A", "id": "A3055", "name": "山西路/湖南路"},
{"parent_id": "D983", "children": [], "type": "A", "id": "A2078", "name": "鼓楼广场"},
{"parent_id": "D983", "children": [], "type": "A", "id": "A1207", "name": "草场门/龙江"}], "type": "D", "id": "D983", "name": "鼓楼区"},
{"parent_id": "C373", "children": [
{"parent_id": "D989", "children": [], "type": "A", "id": "A2083", "name": "马群街道"},
{"parent_id": "D989", "children": [], "type": "A", "id": "A1212", "name": "迈皋桥/和燕路"},
{"parent_id": "D989", "children": [], "type": "A", "id": "A2628", "name": "仙林大学城"}], "type": "D", "id": "D989", "name": "栖霞区"},
{"parent_id": "C373", "children": [
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{"parent_id": "D988", "children": [], "type": "A", "id": "A2627", "name": "苜蓿园"},
{"parent_id": "D988", "children": [], "type": "A", "id": "A1211", "name": "常府街/长白街"},
{"parent_id": "D988", "children": [], "type": "A", "id": "A3739", "name": "升州路/集庆路"},
{"parent_id": "D988", "children": [], "type": "A", "id": "A3057", "name": "秦虹村/中华门"},
{"parent_id": "D988", "children": [], "type": "A", "id": "A4020", "name": "新街口地区"},
{"parent_id": "D988", "children": [], "type": "A", "id": "A3424", "name": "瑞金路沿线"}], "type": "D", "id": "D988", "name": "秦淮区"},
{"parent_id": "C373", "children": [
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{"parent_id": "D985", "children": [], "type": "A", "id": "A2625", "name": "莫愁湖/水西门"},
{"parent_id": "D985", "children": [], "type": "A", "id": "A1209", "name": "奥体中心"}], "type": "D", "id": "D985", "name": "建邺区"},
{"parent_id": "C373", "children": [
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{"parent_id": "D984", "children": [], "type": "A", "id": "A3738", "name": "同曦商业圈"},
{"parent_id": "D984", "children": [], "type": "A", "id": "A3056", "name": "开发区"},
{"parent_id": "D984", "children": [], "type": "A", "id": "A3423", "name": "汤山镇"},
{"parent_id": "D984", "children": [], "type": "A", "id": "A2079", "name": "江宁大学城"},
{"parent_id": "D984", "children": [], "type": "A", "id": "A1208", "name": "东山镇"}], "type": "D", "id": "D984", "name": "江宁区"},
{"parent_id": "C373", "children": [], "type": "D", "id": "D987", "name": "浦口区"},
{"parent_id": "C373", "children": [
{"parent_id": "D986", "children": [], "type": "A", "id": "A2081", "name": "六合区"},
{"parent_id": "D986", "children": [], "type": "A", "id": "A2626", "name": "溧水县"},
{"parent_id": "D986", "children": [], "type": "A", "id": "A1210", "name": "高淳县"}], "type": "D", "id": "D986", "name": "近郊"}], "type": "C", "id": "C373", "name": "南京"},
{"parent_id": "P2", "children": [
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{"parent_id": "D260", "children": [], "type": "A", "id": "A1343", "name": "通江路"},
{"parent_id": "D260", "children": [], "type": "A", "id": "A1669", "name": "薛家"},
{"parent_id": "D260", "children": [], "type": "A", "id": "A1499", "name": "魏村"},
{"parent_id": "D260", "children": [], "type": "A", "id": "A2357", "name": "常发广场"},
{"parent_id": "D260", "children": [], "type": "A", "id": "A1157", "name": "青龙"},
{"parent_id": "D260", "children": [], "type": "A", "id": "A1722", "name": "百丈镇"},
{"parent_id": "D260", "children": [], "type": "A", "id": "A714", "name": "孟河"},
{"parent_id": "D260", "children": [], "type": "A", "id": "A3566", "name": "飞龙路"},
{"parent_id": "D260", "children": [], "type": "A", "id": "A4131", "name": "红梅"},
{"parent_id": "D260", "children": [], "type": "A", "id": "A2820", "name": "道生中心"},
{"parent_id": "D260", "children": [], "type": "A", "id": "A1463", "name": "万达广场"},
{"parent_id": "D260", "children": [], "type": "A", "id": "A965", "name": "每家玛"},
{"parent_id": "D260", "children": [], "type": "A", "id": "A2061", "name": "西夏墅"},
{"parent_id": "D260", "children": [], "type": "A", "id": "A4355", "name": "晋陵北路"},
{"parent_id": "D260", "children": [], "type": "A", "id": "A1405", "name": "太湖路"},
{"parent_id": "D260", "children": [], "type": "A", "id": "A49", "name": "恐龙园"},
{"parent_id": "D260", "children": [], "type": "A", "id": "A259", "name": "龙虎塘"},
{"parent_id": "D260", "children": [], "type": "A", "id": "A3867", "name": "河海大学"},
{"parent_id": "D260", "children": [], "type": "A", "id": "A3222", "name": "丰臣国际广场"},
{"parent_id": "D260", "children": [], "type": "A", "id": "A1796", "name": "新北中心公园"},
{"parent_id": "D260", "children": [], "type": "A", "id": "A1568", "name": "圩塘镇"},
{"parent_id": "D260", "children": [], "type": "A", "id": "A1264", "name": "时代广场"},
{"parent_id": "D260", "children": [], "type": "A", "id": "A481", "name": "罗溪镇"},
{"parent_id": "D260", "children": [], "type": "A", "id": "A620", "name": "奥体中心"}], "type": "D", "id": "D260", "name": "新北区"},
{"parent_id": "C79", "children": [
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{"parent_id": "D261", "children": [], "type": "A", "id": "A260", "name": "青枫公园"},
{"parent_id": "D261", "children": [], "type": "A", "id": "A2358", "name": "关河路"},
{"parent_id": "D261", "children": [], "type": "A", "id": "A1723", "name": "广化街"},
{"parent_id": "D261", "children": [], "type": "A", "id": "A715", "name": "吾悦国际广场"},
{"parent_id": "D261", "children": [], "type": "A", "id": "A3567", "name": "莱蒙都会"},
{"parent_id": "D261", "children": [], "type": "A", "id": "A4132", "name": "路桥"},
{"parent_id": "D261", "children": [], "type": "A", "id": "A2821", "name": "怀德路"},
{"parent_id": "D261", "children": [], "type": "A", "id": "A966", "name": "延陵西路"},
{"parent_id": "D261", "children": [], "type": "A", "id": "A4356", "name": "南大街"},
{"parent_id": "D261", "children": [], "type": "A", "id": "A3868", "name": "蓝天花园"},
{"parent_id": "D261", "children": [], "type": "A", "id": "A3223", "name": "嘉业国贸"},
{"parent_id": "D261", "children": [], "type": "A", "id": "A482", "name": "青山桥"},
{"parent_id": "D261", "children": [], "type": "A", "id": "A621", "name": "北大街"}], "type": "D", "id": "D261", "name": "钟楼区"},
{"parent_id": "C79", "children": [
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{"parent_id": "D259", "children": [], "type": "A", "id": "A1498", "name": "三勤生态园"},
{"parent_id": "D259", "children": [], "type": "A", "id": "A1795", "name": "新城上街"},
{"parent_id": "D259", "children": [], "type": "A", "id": "A2356", "name": "淹城"},
{"parent_id": "D259", "children": [], "type": "A", "id": "A1721", "name": "常武中路"},
{"parent_id": "D259", "children": [], "type": "A", "id": "A2181", "name": "遥观镇"},
{"parent_id": "D259", "children": [], "type": "A", "id": "A713", "name": "礼嘉镇"},
{"parent_id": "D259", "children": [], "type": "A", "id": "A3565", "name": "广电路"},
{"parent_id": "D259", "children": [], "type": "A", "id": "A4130", "name": "横林镇"},
{"parent_id": "D259", "children": [], "type": "A", "id": "A1404", "name": "前黄镇"},
{"parent_id": "D259", "children": [], "type": "A", "id": "A1462", "name": "人民路"},
{"parent_id": "D259", "children": [], "type": "A", "id": "A964", "name": "鸣凰大学城"},
{"parent_id": "D259", "children": [], "type": "A", "id": "A2060", "name": "西太湖"},
{"parent_id": "D259", "children": [], "type": "A", "id": "A619", "name": "奔牛镇"},
{"parent_id": "D259", "children": [], "type": "A", "id": "A4354", "name": "横山桥镇"},
{"parent_id": "D259", "children": [], "type": "A", "id": "A1156", "name": "马杭镇"},
{"parent_id": "D259", "children": [], "type": "A", "id": "A2154", "name": "延政中路"},
{"parent_id": "D259", "children": [], "type": "A", "id": "A48", "name": "湟里镇"},
{"parent_id": "D259", "children": [], "type": "A", "id": "A1949", "name": "新天地"},
{"parent_id": "D259", "children": [], "type": "A", "id": "A258", "name": "路劲又一城"},
{"parent_id": "D259", "children": [], "type": "A", "id": "A3866", "name": "湖塘乐购"},
{"parent_id": "D259", "children": [], "type": "A", "id": "A2116", "name": "雪堰镇"},
{"parent_id": "D259", "children": [], "type": "A", "id": "A1668", "name": "万博生活广场"},
{"parent_id": "D259", "children": [], "type": "A", "id": "A3221", "name": "古方路"},
{"parent_id": "D259", "children": [], "type": "A", "id": "A2819", "name": "定安东路"},
{"parent_id": "D259", "children": [], "type": "A", "id": "A1567", "name": "吾悦广场"},
{"parent_id": "D259", "children": [], "type": "A", "id": "A2203", "name": "邹区镇"},
{"parent_id": "D259", "children": [], "type": "A", "id": "A1263", "name": "茂业百货"},
{"parent_id": "D259", "children": [], "type": "A", "id": "A480", "name": "兰陵欧尚"}], "type": "D", "id": "D259", "name": "武进区"},
{"parent_id": "C79", "children": [
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{"parent_id": "D258", "children": [], "type": "A", "id": "A1720", "name": "吊桥路"},
{"parent_id": "D258", "children": [], "type": "A", "id": "A712", "name": "中吴大道"},
{"parent_id": "D258", "children": [], "type": "A", "id": "A3564", "name": "晋陵中路"},
{"parent_id": "D258", "children": [], "type": "A", "id": "A257", "name": "新闸"},
{"parent_id": "D258", "children": [], "type": "A", "id": "A618", "name": "翠竹"},
{"parent_id": "D258", "children": [], "type": "A", "id": "A4353", "name": "天宁寺"},
{"parent_id": "D258", "children": [], "type": "A", "id": "A47", "name": "文化宫"},
{"parent_id": "D258", "children": [], "type": "A", "id": "A479", "name": "延陵中路"},
{"parent_id": "D258", "children": [], "type": "A", "id": "A3865", "name": "局前街"},
{"parent_id": "D258", "children": [], "type": "A", "id": "A3220", "name": "和平路中路"},
{"parent_id": "D258", "children": [], "type": "A", "id": "A4129", "name": "兰陵"},
{"parent_id": "D258", "children": [], "type": "A", "id": "A2818", "name": "和平路北路"}], "type": "D", "id": "D258", "name": "天宁区"},
{"parent_id": "C79", "children": [
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{"parent_id": "D255", "children": [], "type": "A", "id": "A2352", "name": "华城二村"},
{"parent_id": "D255", "children": [], "type": "A", "id": "A3562", "name": "市一中"},
{"parent_id": "D255", "children": [], "type": "A", "id": "A615", "name": "北站/四中"},
{"parent_id": "D255", "children": [], "type": "A", "id": "A3863", "name": "愚池"},
{"parent_id": "D255", "children": [], "type": "A", "id": "A1717", "name": "城西"},
{"parent_id": "D255", "children": [], "type": "A", "id": "A2816", "name": "华中"}], "type": "D", "id": "D255", "name": "金坛市"},
{"parent_id": "C79", "children": [
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{"parent_id": "D257", "children": [], "type": "A", "id": "A617", "name": "河苑"},
{"parent_id": "D257", "children": [], "type": "A", "id": "A1719", "name": "潞城"}], "type": "D", "id": "D257", "name": "戚墅堰区"},
{"parent_id": "C79", "children": [
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{"parent_id": "D256", "children": [], "type": "A", "id": "A2353", "name": "罗湾路/南大街"},
{"parent_id": "D256", "children": [], "type": "A", "id": "A3563", "name": "上河城/金鹰"},
{"parent_id": "D256", "children": [], "type": "A", "id": "A616", "name": "大润发/锦汇广场"},
{"parent_id": "D256", "children": [], "type": "A", "id": "A3864", "name": "市政府周边"},
{"parent_id": "D256", "children": [], "type": "A", "id": "A1718", "name": "高静园"},
{"parent_id": "D256", "children": [], "type": "A", "id": "A4128", "name": "天目湖"},
{"parent_id": "D256", "children": [], "type": "A", "id": "A2817", "name": "南山竹海"}], "type": "D", "id": "D256", "name": "溧阳市"}], "type": "C", "id": "C79", "name": "常州"},
{"parent_id": "P2", "children": [
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{"parent_id": "C78", "children": [], "type": "D", "id": "D249", "name": "邳州市"},
{"parent_id": "C78", "children": [], "type": "D", "id": "D246", "name": "贾汪区"},
{"parent_id": "C78", "children": [
{"parent_id": "D247", "children": [], "type": "A", "id": "A611", "name": "九龙湖"}], "type": "D", "id": "D247", "name": "九里区"},
{"parent_id": "C78", "children": [], "type": "D", "id": "D244", "name": "丰县"},
{"parent_id": "C78", "children": [
{"parent_id": "D245", "children": [], "type": "A", "id": "A3215", "name": "彭城一号"},
{"parent_id": "D245", "children": [], "type": "A", "id": "A610", "name": "1818美食广场"},
{"parent_id": "D245", "children": [], "type": "A", "id": "A3861", "name": "下淀邻里美食城"},
{"parent_id": "D245", "children": [], "type": "A", "id": "A2349", "name": "夹河街"},
{"parent_id": "D245", "children": [], "type": "A", "id": "A1714", "name": "金地国际"},
{"parent_id": "D245", "children": [], "type": "A", "id": "A4126", "name": "杨庄生活广场"},
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{"parent_id": "C78", "children": [
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{"parent_id": "D250", "children": [], "type": "A", "id": "A612", "name": "滨湖"},
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{"parent_id": "D250", "children": [], "type": "A", "id": "A4127", "name": "矿业大学"},
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{"parent_id": "D254", "children": [], "type": "A", "id": "A1716", "name": "老东门"},
{"parent_id": "D254", "children": [], "type": "A", "id": "A2815", "name": "世茂广场"},
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{"parent_id": "D243", "children": [], "type": "A", "id": "A45", "name": "新天地/太滆桥"},
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{"parent_id": "D243", "children": [], "type": "A", "id": "A3860", "name": "金三角汽车站"},
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{"parent_id": "D243", "children": [], "type": "A", "id": "A1713", "name": "丁蜀"},
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{"parent_id": "D243", "children": [], "type": "A", "id": "A4125", "name": "人民南路/森林公园"},
{"parent_id": "D243", "children": [], "type": "A", "id": "A2812", "name": "环科园/城铁站"},
{"parent_id": "D243", "children": [], "type": "A", "id": "A3558", "name": "家和花园/大润发"},
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{"parent_id": "D240", "children": [], "type": "A", "id": "A3858", "name": "新天地广场"},
{"parent_id": "D240", "children": [], "type": "A", "id": "A606", "name": "东林书院"},
{"parent_id": "D240", "children": [], "type": "A", "id": "A44", "name": "招商城"},
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{"parent_id": "D240", "children": [], "type": "A", "id": "A1710", "name": "南禅寺"},
{"parent_id": "D240", "children": [], "type": "A", "id": "A4123", "name": "阳光广场"},
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{"parent_id": "D241", "children": [], "type": "A", "id": "A3859", "name": "旺庄"},
{"parent_id": "D241", "children": [], "type": "A", "id": "A607", "name": "宝龙城市广场"},
{"parent_id": "D241", "children": [], "type": "A", "id": "A2347", "name": "坊前/春潮"},
{"parent_id": "D241", "children": [], "type": "A", "id": "A1711", "name": "长江北路沿线"},
{"parent_id": "D241", "children": [], "type": "A", "id": "A4350", "name": "新之城广场"},
{"parent_id": "D241", "children": [], "type": "A", "id": "A4124", "name": "新地假日广场"},
{"parent_id": "D241", "children": [], "type": "A", "id": "A2811", "name": "新区哥伦布广场"},
{"parent_id": "D241", "children": [], "type": "A", "id": "A3557", "name": "硕放"}], "type": "D", "id": "D241", "name": "新区"},
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{"parent_id": "D239", "children": [], "type": "A", "id": "A3857", "name": "新一城"},
{"parent_id": "D239", "children": [], "type": "A", "id": "A1709", "name": "花园新村"},
{"parent_id": "D239", "children": [], "type": "A", "id": "A254", "name": "中山公园"},
{"parent_id": "D239", "children": [], "type": "A", "id": "A2809", "name": "江阴市中"},
{"parent_id": "D239", "children": [], "type": "A", "id": "A43", "name": "一中初中部"},
{"parent_id": "D239", "children": [], "type": "A", "id": "A2345", "name": "黄山湖公园"},
{"parent_id": "D239", "children": [], "type": "A", "id": "A4122", "name": "希望广场"},
{"parent_id": "D239", "children": [], "type": "A", "id": "A3555", "name": "万达广场"},
{"parent_id": "D239", "children": [], "type": "A", "id": "A605", "name": "东门"},
{"parent_id": "D239", "children": [], "type": "A", "id": "A4348", "name": "新百业广场"}], "type": "D", "id": "D239", "name": "江阴市"},
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{"parent_id": "D238", "children": [], "type": "A", "id": "A3210", "name": "钱桥"},
{"parent_id": "D238", "children": [], "type": "A", "id": "A1708", "name": "惠山万达广场"},
{"parent_id": "D238", "children": [], "type": "A", "id": "A476", "name": "阳山"},
{"parent_id": "D238", "children": [], "type": "A", "id": "A2808", "name": "藕塘"},
{"parent_id": "D238", "children": [], "type": "A", "id": "A604", "name": "长安"},
{"parent_id": "D238", "children": [], "type": "A", "id": "A42", "name": "堰桥"},
{"parent_id": "D238", "children": [], "type": "A", "id": "A253", "name": "杨市"},
{"parent_id": "D238", "children": [], "type": "A", "id": "A2344", "name": "洛社"},
{"parent_id": "D238", "children": [], "type": "A", "id": "A4121", "name": "时代广场"},
{"parent_id": "D238", "children": [], "type": "A", "id": "A3554", "name": "前洲"},
{"parent_id": "D238", "children": [], "type": "A", "id": "A4347", "name": "西漳"}], "type": "D", "id": "D238", "name": "惠山区"},
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{"parent_id": "D237", "children": [], "type": "A", "id": "A475", "name": "中华美食城"},
{"parent_id": "D237", "children": [], "type": "A", "id": "A2807", "name": "大成巷/东方广场"},
{"parent_id": "D237", "children": [], "type": "A", "id": "A603", "name": "1912酒吧街"},
{"parent_id": "D237", "children": [], "type": "A", "id": "A41", "name": "远东百货/胜利门"},
{"parent_id": "D237", "children": [], "type": "A", "id": "A252", "name": "中山路"},
{"parent_id": "D237", "children": [], "type": "A", "id": "A3209", "name": "哥伦布广场"},
{"parent_id": "D237", "children": [], "type": "A", "id": "A2343", "name": "崇安寺"},
{"parent_id": "D237", "children": [], "type": "A", "id": "A4120", "name": "恒隆广场"},
{"parent_id": "D237", "children": [], "type": "A", "id": "A3553", "name": "火车站/上马墩/广瑞"},
{"parent_id": "D237", "children": [], "type": "A", "id": "A4346", "name": "苏宁广场"}], "type": "D", "id": "D237", "name": "崇安区"},
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{"parent_id": "D236", "children": [], "type": "A", "id": "A711", "name": "万科酩悦商业街"},
{"parent_id": "D236", "children": [], "type": "A", "id": "A4119", "name": "梁溪路沿线"},
{"parent_id": "D236", "children": [], "type": "A", "id": "A474", "name": "滨湖万达广场"},
{"parent_id": "D236", "children": [], "type": "A", "id": "A2806", "name": "河埒口"},
{"parent_id": "D236", "children": [], "type": "A", "id": "A1706", "name": "湖滨商业街"},
{"parent_id": "D236", "children": [], "type": "A", "id": "A963", "name": "新体育中心/奥林花园"},
{"parent_id": "D236", "children": [], "type": "A", "id": "A602", "name": "长广溪公园"},
{"parent_id": "D236", "children": [], "type": "A", "id": "A40", "name": "落霞苑商业街"},
{"parent_id": "D236", "children": [], "type": "A", "id": "A251", "name": "梅园"},
{"parent_id": "D236", "children": [], "type": "A", "id": "A3208", "name": "华莱坞"},
{"parent_id": "D236", "children": [], "type": "A", "id": "A2342", "name": "湖滨路"},
{"parent_id": "D236", "children": [], "type": "A", "id": "A3552", "name": "江南大学城"},
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{"parent_id": "D235", "children": [], "type": "A", "id": "A1705", "name": "惠山古镇"},
{"parent_id": "D235", "children": [], "type": "A", "id": "A2805", "name": "民丰里"},
{"parent_id": "D235", "children": [], "type": "A", "id": "A3207", "name": "青石路/北大街"},
{"parent_id": "D235", "children": [], "type": "A", "id": "A2341", "name": "金太湖广场"},
{"parent_id": "D235", "children": [], "type": "A", "id": "A3551", "name": "盛岸路沿线"},
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{"parent_id": "D262", "children": [], "type": "A", "id": "A2822", "name": "苏纶场"},
{"parent_id": "D262", "children": [], "type": "A", "id": "A3224", "name": "亿象城&世茂运河城"},
{"parent_id": "D262", "children": [], "type": "A", "id": "A622", "name": "南门"}], "type": "D", "id": "D262", "name": "沧浪区"},
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{"parent_id": "D263", "children": [], "type": "A", "id": "A3568", "name": "虞景文华"},
{"parent_id": "D263", "children": [], "type": "A", "id": "A2823", "name": "世茂"},
{"parent_id": "D263", "children": [], "type": "A", "id": "A3869", "name": "招商城"},
{"parent_id": "D263", "children": [], "type": "A", "id": "A3225", "name": "印象城"},
{"parent_id": "D263", "children": [], "type": "A", "id": "A2360", "name": "美城广场"},
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{"parent_id": "D264", "children": [], "type": "A", "id": "A1726", "name": "绿宝广场"},
{"parent_id": "D264", "children": [], "type": "A", "id": "A3569", "name": "玉山路"},
{"parent_id": "D264", "children": [], "type": "A", "id": "A3226", "name": "塔园路"},
{"parent_id": "D264", "children": [], "type": "A", "id": "A2824", "name": "苏州乐园"},
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{"parent_id": "D265", "children": [], "type": "A", "id": "A261", "name": "圆融时代广场"},
{"parent_id": "D265", "children": [], "type": "A", "id": "A3871", "name": "玲珑湾"},
{"parent_id": "D265", "children": [], "type": "A", "id": "A1727", "name": "独墅湖高教区"},
{"parent_id": "D265", "children": [], "type": "A", "id": "A716", "name": "印象城"},
{"parent_id": "D265", "children": [], "type": "A", "id": "A4133", "name": "邻瑞广场"},
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{"parent_id": "D265", "children": [], "type": "A", "id": "A967", "name": "左岸商业街"},
{"parent_id": "D265", "children": [], "type": "A", "id": "A3227", "name": "娄葑镇"},
{"parent_id": "D265", "children": [], "type": "A", "id": "A2362", "name": "湖东邻里中心"},
{"parent_id": "D265", "children": [], "type": "A", "id": "A3570", "name": "李公堤"},
{"parent_id": "D265", "children": [], "type": "A", "id": "A4357", "name": "欧尚购物中心"},
{"parent_id": "D265", "children": [], "type": "A", "id": "A483", "name": "月亮湾"},
{"parent_id": "D265", "children": [], "type": "A", "id": "A625", "name": "博览中心"}], "type": "D", "id": "D265", "name": "工业园区"},
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{"parent_id": "D266", "children": [], "type": "A", "id": "A626", "name": "浒关镇"}], "type": "D", "id": "D266", "name": "虎丘区"},
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{"parent_id": "D267", "children": [], "type": "A", "id": "A1729", "name": "虎丘景区"},
{"parent_id": "D267", "children": [], "type": "A", "id": "A2826", "name": "阊胥路"},
{"parent_id": "D267", "children": [], "type": "A", "id": "A3228", "name": "三香路沿线"},
{"parent_id": "D267", "children": [], "type": "A", "id": "A2363", "name": "留园"},
{"parent_id": "D267", "children": [], "type": "A", "id": "A3571", "name": "新苏天地"},
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{"parent_id": "D269", "children": [], "type": "A", "id": "A2827", "name": "平江路"},
{"parent_id": "D269", "children": [], "type": "A", "id": "A3229", "name": "苏州大学/相门后庄"},
{"parent_id": "D269", "children": [], "type": "A", "id": "A1730", "name": "火车站"},
{"parent_id": "D269", "children": [], "type": "A", "id": "A2364", "name": "景德路沿线"},
{"parent_id": "D269", "children": [], "type": "A", "id": "A3572", "name": "万达广场"},
{"parent_id": "D269", "children": [], "type": "A", "id": "A628", "name": "观前街地区"}], "type": "D", "id": "D269", "name": "平江区"},
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{"parent_id": "D273", "children": [], "type": "A", "id": "A632", "name": "采莲商业广场"},
{"parent_id": "D273", "children": [], "type": "A", "id": "A1734", "name": "华元路"},
{"parent_id": "D273", "children": [], "type": "A", "id": "A2368", "name": "新尚广场"},
{"parent_id": "D273", "children": [], "type": "A", "id": "A3575", "name": "中翔/家乐福"},
{"parent_id": "D273", "children": [], "type": "A", "id": "A2831", "name": "相城商业街"}], "type": "D", "id": "D273", "name": "相城区"},
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{"parent_id": "D272", "children": [], "type": "A", "id": "A3231", "name": "丽丰广场"},
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{"parent_id": "D317", "children": [], "type": "A", "id": "A651", "name": "沃尔玛"},
{"parent_id": "D317", "children": [], "type": "A", "id": "A2843", "name": "新天地"},
{"parent_id": "D317", "children": [], "type": "A", "id": "A3242", "name": "扬子江路"},
{"parent_id": "D317", "children": [], "type": "A", "id": "A2381", "name": "瘦西湖"}], "type": "D", "id": "D317", "name": "维扬区"},
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{"parent_id": "D318", "children": [], "type": "A", "id": "A652", "name": "鼓楼"},
{"parent_id": "D318", "children": [], "type": "A", "id": "A2844", "name": "万年大道"},
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{"parent_id": "C86", "children": [
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{"parent_id": "D322", "children": [], "type": "A", "id": "A657", "name": "大市口"},
{"parent_id": "D322", "children": [], "type": "A", "id": "A3883", "name": "江苏大学"},
{"parent_id": "D322", "children": [], "type": "A", "id": "A2845", "name": "沃德广场"},
{"parent_id": "D322", "children": [], "type": "A", "id": "A4364", "name": "八佰伴"},
{"parent_id": "D322", "children": [], "type": "A", "id": "A3243", "name": "梦溪广场"},
{"parent_id": "D322", "children": [], "type": "A", "id": "A4142", "name": "大润发"},
{"parent_id": "D322", "children": [], "type": "A", "id": "A1751", "name": "红豆广场/东吴路"},
{"parent_id": "D322", "children": [], "type": "A", "id": "A2383", "name": "欧尚/学府路"}], "type": "D", "id": "D322", "name": "京口区"},
{"parent_id": "C86", "children": [], "type": "D", "id": "D325", "name": "扬中市"},
{"parent_id": "C86", "children": [
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{"parent_id": "D324", "children": [], "type": "A", "id": "A659", "name": "九润广场"},
{"parent_id": "D324", "children": [], "type": "A", "id": "A3884", "name": "三茅宫"},
{"parent_id": "D324", "children": [], "type": "A", "id": "A2846", "name": "常发广场"},
{"parent_id": "D324", "children": [], "type": "A", "id": "A3244", "name": "中浩国际"},
{"parent_id": "D324", "children": [], "type": "A", "id": "A4143", "name": "天和星城"},
{"parent_id": "D324", "children": [], "type": "A", "id": "A1752", "name": "西津渡"},
{"parent_id": "D324", "children": [], "type": "A", "id": "A2384", "name": "万达广场"}], "type": "D", "id": "D324", "name": "润州区"},
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{"parent_id": "D329", "children": [], "type": "A", "id": "A3246", "name": "海上海"},
{"parent_id": "D329", "children": [], "type": "A", "id": "A2386", "name": "正大路"},
{"parent_id": "D329", "children": [], "type": "A", "id": "A1755", "name": "南大街"},
{"parent_id": "D329", "children": [], "type": "A", "id": "A663", "name": "东方不夜城"}], "type": "D", "id": "D329", "name": "姜堰区"},
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{"parent_id": "D328", "children": [], "type": "A", "id": "A267", "name": "金鹰天地"},
{"parent_id": "D328", "children": [], "type": "A", "id": "A3586", "name": "莲花六号区"},
{"parent_id": "D328", "children": [], "type": "A", "id": "A3885", "name": "税东街"},
{"parent_id": "D328", "children": [], "type": "A", "id": "A2847", "name": "世纪联华二店"},
{"parent_id": "D328", "children": [], "type": "A", "id": "A3245", "name": "乐天玛特九洲店"},
{"parent_id": "D328", "children": [], "type": "A", "id": "A4144", "name": "活力城"},
{"parent_id": "D328", "children": [], "type": "A", "id": "A721", "name": "稻河湾"},
{"parent_id": "D328", "children": [], "type": "A", "id": "A2385", "name": "江州南路"},
{"parent_id": "D328", "children": [], "type": "A", "id": "A1754", "name": "凤城国际"},
{"parent_id": "D328", "children": [], "type": "A", "id": "A662", "name": "万达广场"},
{"parent_id": "D328", "children": [], "type": "A", "id": "A4365", "name": "三水湾"},
{"parent_id": "D328", "children": [], "type": "A", "id": "A489", "name": "坡子街"}], "type": "D", "id": "D328", "name": "海陵区"},
{"parent_id": "C87", "children": [
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{"parent_id": "C87", "children": [
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{"parent_id": "D326", "children": [], "type": "A", "id": "A660", "name": "刁铺街道"}], "type": "D", "id": "D326", "name": "高港区"},
{"parent_id": "C87", "children": [], "type": "D", "id": "D331", "name": "泰兴市"},
{"parent_id": "C87", "children": [
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{"parent_id": "D332", "children": [], "type": "A", "id": "A1757", "name": "大润发"},
{"parent_id": "D332", "children": [], "type": "A", "id": "A665", "name": "海德国际"}], "type": "D", "id": "D332", "name": "兴化市"},
{"parent_id": "C87", "children": [
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{"parent_id": "D330", "children": [], "type": "A", "id": "A3886", "name": "渔婆南路"},
{"parent_id": "D330", "children": [], "type": "A", "id": "A2849", "name": "巧丽公寓"},
{"parent_id": "D330", "children": [], "type": "A", "id": "A3247", "name": "客运站"},
{"parent_id": "D330", "children": [], "type": "A", "id": "A4145", "name": "靖江国际大酒店"},
{"parent_id": "D330", "children": [], "type": "A", "id": "A2387", "name": "恒天广场"},
{"parent_id": "D330", "children": [], "type": "A", "id": "A1756", "name": "上海城"},
{"parent_id": "D330", "children": [], "type": "A", "id": "A664", "name": "德诚广场"}], "type": "D", "id": "D330", "name": "靖江市"}], "type": "C", "id": "C87", "name": "泰州"},
{"parent_id": "P2", "children": [], "type": "C", "id": "C108", "name": "高邮"},
{"parent_id": "P2", "children": [], "type": "C", "id": "C109", "name": "仪征"},
{"parent_id": "P2", "children": [], "type": "C", "id": "C104", "name": "句容"},
{"parent_id": "P2", "children": [], "type": "C", "id": "C105", "name": "兴化"},
{"parent_id": "P2", "children": [], "type": "C", "id": "C106", "name": "泰兴"},
{"parent_id": "P2", "children": [], "type": "C", "id": "C107", "name": "海门"},
{"parent_id": "P2", "children": [], "type": "C", "id": "C100", "name": "丹阳"},
{"parent_id": "P2", "children": [], "type": "C", "id": "C101", "name": "邳州"},
{"parent_id": "P2", "children": [], "type": "C", "id": "C102", "name": "启东"},
{"parent_id": "P2", "children": [], "type": "C", "id": "C103", "name": "如皋"},
{"parent_id": "P2", "children": [], "type": "C", "id": "C88", "name": "宿迁"},
{"parent_id": "P2", "children": [
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{"parent_id": "C89", "children": [], "type": "D", "id": "D340", "name": "张浦镇"},
{"parent_id": "C89", "children": [
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{"parent_id": "C89", "children": [
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{"parent_id": "D339", "children": [], "type": "A", "id": "A268", "name": "百盛"},
{"parent_id": "D339", "children": [], "type": "A", "id": "A3588", "name": "嘉茂广场"},
{"parent_id": "D339", "children": [], "type": "A", "id": "A3887", "name": "超华城市广场"},
{"parent_id": "D339", "children": [], "type": "A", "id": "A3248", "name": "北门路"},
{"parent_id": "D339", "children": [], "type": "A", "id": "A4146", "name": "吉田国际广场"},
{"parent_id": "D339", "children": [], "type": "A", "id": "A2389", "name": "柏庐路"},
{"parent_id": "D339", "children": [], "type": "A", "id": "A1758", "name": "人民路"},
{"parent_id": "D339", "children": [], "type": "A", "id": "A669", "name": "世茂"},
{"parent_id": "D339", "children": [], "type": "A", "id": "A2850", "name": "新客站"},
{"parent_id": "D339", "children": [], "type": "A", "id": "A4366", "name": "前进路"}], "type": "D", "id": "D339", "name": "玉山镇"},
{"parent_id": "C89", "children": [], "type": "D", "id": "D336", "name": "开发区"},
{"parent_id": "C89", "children": [], "type": "D", "id": "D337", "name": "陆家镇"},
{"parent_id": "C89", "children": [
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{"parent_id": "C89", "children": [
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{"parent_id": "C89", "children": [], "type": "D", "id": "D333", "name": "巴城镇"}], "type": "C", "id": "C89", "name": "昆山"},
{"parent_id": "P2", "children": [], "type": "C", "id": "C93", "name": "金坛"},
{"parent_id": "P2", "children": [], "type": "C", "id": "C92", "name": "宜兴"},
{"parent_id": "P2", "children": [], "type": "C", "id": "C91", "name": "溧阳"},
{"parent_id": "P2", "children": [
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{"parent_id": "C90", "children": [], "type": "D", "id": "D348", "name": "江阴市中"},
{"parent_id": "C90", "children": [], "type": "D", "id": "D347", "name": "花园新村"},
{"parent_id": "C90", "children": [], "type": "D", "id": "D346", "name": "黄山湖公园"},
{"parent_id": "C90", "children": [], "type": "D", "id": "D345", "name": "东门"},
{"parent_id": "C90", "children": [], "type": "D", "id": "D344", "name": "城东开发区"},
{"parent_id": "C90", "children": [], "type": "D", "id": "D343", "name": "澄江福地"},
{"parent_id": "C90", "children": [], "type": "D", "id": "D342", "name": "长山镇"},
{"parent_id": "C90", "children": [], "type": "D", "id": "D354", "name": "新一城"},
{"parent_id": "C90", "children": [], "type": "D", "id": "D355", "name": "希望广场"},
{"parent_id": "C90", "children": [], "type": "D", "id": "D356", "name": "一中初中部"},
{"parent_id": "C90", "children": [], "type": "D", "id": "D357", "name": "中山公园"},
{"parent_id": "C90", "children": [], "type": "D", "id": "D350", "name": "天鹤小区"},
{"parent_id": "C90", "children": [], "type": "D", "id": "D351", "name": "万达广场"},
{"parent_id": "C90", "children": [], "type": "D", "id": "D352", "name": "夏港街道"},
{"parent_id": "C90", "children": [], "type": "D", "id": "D353", "name": "新百业广场"}], "type": "C", "id": "C90", "name": "江阴"},
{"parent_id": "P2", "children": [], "type": "C", "id": "C97", "name": "大丰"},
{"parent_id": "P2", "children": [], "type": "C", "id": "C96", "name": "太仓"},
{"parent_id": "P2", "children": [], "type": "C", "id": "C95", "name": "吴江"},
{"parent_id": "P2", "children": [], "type": "C", "id": "C94", "name": "靖江"},
{"parent_id": "P2", "children": [], "type": "C", "id": "C99", "name": "常熟"},
{"parent_id": "P2", "children": [], "type": "C", "id": "C98", "name": "东台"}], "type": "P", "id": "P2", "name": "江苏"},
{"parent_id": "N1", "children": [
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{"parent_id": "D152", "children": [], "type": "A", "id": "A2765", "name": "中心城"},
{"parent_id": "D152", "children": [], "type": "A", "id": "A401", "name": "开发区东区"},
{"parent_id": "D152", "children": [], "type": "A", "id": "A2288", "name": "开发区西区"}], "type": "D", "id": "D152", "name": "萝岗区"},
{"parent_id": "C39", "children": [], "type": "D", "id": "D153", "name": "南沙区"},
{"parent_id": "C39", "children": [
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{"parent_id": "D150", "children": [], "type": "A", "id": "A399", "name": "大沙地"},
{"parent_id": "D150", "children": [], "type": "A", "id": "A2763", "name": "鱼珠"},
{"parent_id": "D150", "children": [], "type": "A", "id": "A2286", "name": "夏园/南岗"}], "type": "D", "id": "D150", "name": "黄埔区"},
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{"parent_id": "D151", "children": [], "type": "A", "id": "A1623", "name": "恒宝广场"},
{"parent_id": "D151", "children": [], "type": "A", "id": "A4097", "name": "中山七八路"},
{"parent_id": "D151", "children": [], "type": "A", "id": "A3525", "name": "西村西场"},
{"parent_id": "D151", "children": [], "type": "A", "id": "A2764", "name": "上下九商业区"},
{"parent_id": "D151", "children": [], "type": "A", "id": "A400", "name": "芳村"},
{"parent_id": "D151", "children": [], "type": "A", "id": "A3175", "name": "沙面"},
{"parent_id": "D151", "children": [], "type": "A", "id": "A2287", "name": "康王路"}], "type": "D", "id": "D151", "name": "荔湾区"},
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{"parent_id": "D156", "children": [], "type": "A", "id": "A1627", "name": "东风东/杨箕"},
{"parent_id": "D156", "children": [], "type": "A", "id": "A3528", "name": "海珠广场"},
{"parent_id": "D156", "children": [], "type": "A", "id": "A4330", "name": "沿江路沿线/二沙岛"},
{"parent_id": "D156", "children": [], "type": "A", "id": "A28", "name": "中山二三路/东山口"},
{"parent_id": "D156", "children": [], "type": "A", "id": "A2768", "name": "环市东路沿线"},
{"parent_id": "D156", "children": [], "type": "A", "id": "A2291", "name": "东风中路/越秀公园"},
{"parent_id": "D156", "children": [], "type": "A", "id": "A4100", "name": "五羊新城"},
{"parent_id": "D156", "children": [], "type": "A", "id": "A404", "name": "北京路商业区"},
{"parent_id": "D156", "children": [], "type": "A", "id": "A3178", "name": "火车站/人民北路"},
{"parent_id": "D156", "children": [], "type": "A", "id": "A220", "name": "中山六路"}], "type": "D", "id": "D156", "name": "越秀区"},
{"parent_id": "C39", "children": [
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{"parent_id": "D157", "children": [], "type": "A", "id": "A2769", "name": "新塘太阳城/凯旋门"},
{"parent_id": "D157", "children": [], "type": "A", "id": "A2292", "name": "新塘大润发/现代城"},
{"parent_id": "D157", "children": [], "type": "A", "id": "A405", "name": "荔城挂绿/泰富广场"},
{"parent_id": "D157", "children": [], "type": "A", "id": "A3179", "name": "增城其他"}], "type": "D", "id": "D157", "name": "增城市"},
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{"parent_id": "D154", "children": [], "type": "A", "id": "A1625", "name": "大学城"},
{"parent_id": "D154", "children": [], "type": "A", "id": "A4098", "name": "石基"},
{"parent_id": "D154", "children": [], "type": "A", "id": "A3526", "name": "市桥"},
{"parent_id": "D154", "children": [], "type": "A", "id": "A26", "name": "钟村"},
{"parent_id": "D154", "children": [], "type": "A", "id": "A2766", "name": "南村"},
{"parent_id": "D154", "children": [], "type": "A", "id": "A402", "name": "大石"},
{"parent_id": "D154", "children": [], "type": "A", "id": "A4328", "name": "沙湾镇"},
{"parent_id": "D154", "children": [], "type": "A", "id": "A3176", "name": "番禺广场"},
{"parent_id": "D154", "children": [], "type": "A", "id": "A2289", "name": "洛浦"}], "type": "D", "id": "D154", "name": "番禺区"},
{"parent_id": "C39", "children": [
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{"parent_id": "D155", "children": [], "type": "A", "id": "A1626", "name": "花城汇/高德置地"},
{"parent_id": "D155", "children": [], "type": "A", "id": "A646", "name": "燕岭/五山"},
{"parent_id": "D155", "children": [], "type": "A", "id": "A4099", "name": "体育中心"},
{"parent_id": "D155", "children": [], "type": "A", "id": "A3527", "name": "时尚天河"},
{"parent_id": "D155", "children": [], "type": "A", "id": "A27", "name": "天河北/广州东站"},
{"parent_id": "D155", "children": [], "type": "A", "id": "A2290", "name": "车陂/东圃"},
{"parent_id": "D155", "children": [], "type": "A", "id": "A219", "name": "天河客运站"},
{"parent_id": "D155", "children": [], "type": "A", "id": "A2767", "name": "龙洞/岑村"},
{"parent_id": "D155", "children": [], "type": "A", "id": "A461", "name": "小新塘"},
{"parent_id": "D155", "children": [], "type": "A", "id": "A403", "name": "石牌/龙口"},
{"parent_id": "D155", "children": [], "type": "A", "id": "A4329", "name": "天河城/正佳广场"},
{"parent_id": "D155", "children": [], "type": "A", "id": "A934", "name": "珠江新城/跑马场"},
{"parent_id": "D155", "children": [], "type": "A", "id": "A3177", "name": "天平架"}], "type": "D", "id": "D155", "name": "天河区"},
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{"parent_id": "D148", "children": [], "type": "A", "id": "A1620", "name": "东晓南路沿线"},
{"parent_id": "D148", "children": [], "type": "A", "id": "A4096", "name": "新港西路沿线"},
{"parent_id": "D148", "children": [], "type": "A", "id": "A3524", "name": "客村/赤岗"},
{"parent_id": "D148", "children": [], "type": "A", "id": "A397", "name": "滨江路沿线"},
{"parent_id": "D148", "children": [], "type": "A", "id": "A2761", "name": "江南大道沿线"},
{"parent_id": "D148", "children": [], "type": "A", "id": "A3173", "name": "江南西"},
{"parent_id": "D148", "children": [], "type": "A", "id": "A2284", "name": "工业大道沿线"}], "type": "D", "id": "D148", "name": "海珠区"},
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{"parent_id": "D149", "children": [], "type": "A", "id": "A398", "name": "花东"},
{"parent_id": "D149", "children": [], "type": "A", "id": "A2762", "name": "新华"},
{"parent_id": "D149", "children": [], "type": "A", "id": "A3174", "name": "雅瑶"},
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{"parent_id": "C39", "children": [
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{"parent_id": "D146", "children": [], "type": "A", "id": "A4095", "name": "三元里"},
{"parent_id": "D146", "children": [], "type": "A", "id": "A3523", "name": "嘉裕太阳城"},
{"parent_id": "D146", "children": [], "type": "A", "id": "A25", "name": "同德围"},
{"parent_id": "D146", "children": [], "type": "A", "id": "A396", "name": "白云大道沿线"},
{"parent_id": "D146", "children": [], "type": "A", "id": "A218", "name": "万达广场"},
{"parent_id": "D146", "children": [], "type": "A", "id": "A2760", "name": "机场路沿线"},
{"parent_id": "D146", "children": [], "type": "A", "id": "A1619", "name": "广园新村"},
{"parent_id": "D146", "children": [], "type": "A", "id": "A460", "name": "五号停机坪"},
{"parent_id": "D146", "children": [], "type": "A", "id": "A4327", "name": "同和/京溪"},
{"parent_id": "D146", "children": [], "type": "A", "id": "A645", "name": "新市"},
{"parent_id": "D146", "children": [], "type": "A", "id": "A933", "name": "永泰"},
{"parent_id": "D146", "children": [], "type": "A", "id": "A3172", "name": "嘉禾/人和"},
{"parent_id": "D146", "children": [], "type": "A", "id": "A2283", "name": "黄石"}], "type": "D", "id": "D146", "name": "白云区"}], "type": "C", "id": "C39", "name": "广州"},
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{"parent_id": "P11", "children": [
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{"parent_id": "D811", "children": [], "type": "A", "id": "A1971", "name": "义和龙溪"},
{"parent_id": "D811", "children": [], "type": "A", "id": "A1018", "name": "罗阳县城"},
{"parent_id": "D811", "children": [], "type": "A", "id": "A2994", "name": "福田长宁"}], "type": "D", "id": "D811", "name": "博罗县"},
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{"parent_id": "D813", "children": [], "type": "A", "id": "A1973", "name": "平海港口"},
{"parent_id": "D813", "children": [], "type": "A", "id": "A3982", "name": "黄排"},
{"parent_id": "D813", "children": [], "type": "A", "id": "A3695", "name": "华侨城"},
{"parent_id": "D813", "children": [], "type": "A", "id": "A3374", "name": "大岭"},
{"parent_id": "D813", "children": [], "type": "A", "id": "A2996", "name": "巽寮"},
{"parent_id": "D813", "children": [], "type": "A", "id": "A1020", "name": "平山"}], "type": "D", "id": "D813", "name": "惠东县"},
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{"parent_id": "D812", "children": [], "type": "A", "id": "A1972", "name": "水口"},
{"parent_id": "D812", "children": [], "type": "A", "id": "A4440", "name": "南坛下埔"},
{"parent_id": "D812", "children": [], "type": "A", "id": "A125", "name": "麦地片区"},
{"parent_id": "D812", "children": [], "type": "A", "id": "A1019", "name": "河南岸"},
{"parent_id": "D812", "children": [], "type": "A", "id": "A3373", "name": "仲恺陈江"},
{"parent_id": "D812", "children": [], "type": "A", "id": "A4230", "name": "东平"},
{"parent_id": "D812", "children": [], "type": "A", "id": "A3694", "name": "江北"},
{"parent_id": "D812", "children": [], "type": "A", "id": "A3981", "name": "上排龙丰"},
{"parent_id": "D812", "children": [], "type": "A", "id": "A2995", "name": "汝湖"},
{"parent_id": "D812", "children": [], "type": "A", "id": "A346", "name": "西湖下角"}], "type": "D", "id": "D812", "name": "惠城区"},
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{"parent_id": "D815", "children": [], "type": "A", "id": "A1022", "name": "龙城片区"}], "type": "D", "id": "D815", "name": "龙门县"},
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{"parent_id": "D814", "children": [], "type": "A", "id": "A1974", "name": "立交桥"},
{"parent_id": "D814", "children": [], "type": "A", "id": "A4441", "name": "万联广场"},
{"parent_id": "D814", "children": [], "type": "A", "id": "A126", "name": "开城大道"},
{"parent_id": "D814", "children": [], "type": "A", "id": "A3983", "name": "土湖白云坑"},
{"parent_id": "D814", "children": [], "type": "A", "id": "A3696", "name": "秋长一带"},
{"parent_id": "D814", "children": [], "type": "A", "id": "A4231", "name": "天虹商场"},
{"parent_id": "D814", "children": [], "type": "A", "id": "A2997", "name": "开城大道南"},
{"parent_id": "D814", "children": [], "type": "A", "id": "A1021", "name": "好宜多"},
{"parent_id": "D814", "children": [], "type": "A", "id": "A3375", "name": "澳头大亚湾"},
{"parent_id": "D814", "children": [], "type": "A", "id": "A347", "name": "华都广场"}], "type": "D", "id": "D814", "name": "惠阳区"}], "type": "C", "id": "C277", "name": "惠州"},
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{"parent_id": "P11", "children": [], "type": "C", "id": "C275", "name": "茂名"},
{"parent_id": "P11", "children": [
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{"parent_id": "D800", "children": [], "type": "A", "id": "A4228", "name": "华远东路"},
{"parent_id": "D800", "children": [], "type": "A", "id": "A1683", "name": "印象城"},
{"parent_id": "D800", "children": [], "type": "A", "id": "A1514", "name": "文华北路沿线"},
{"parent_id": "D800", "children": [], "type": "A", "id": "A124", "name": "九鼎国际"},
{"parent_id": "D800", "children": [], "type": "A", "id": "A2989", "name": "石湾"},
{"parent_id": "D800", "children": [], "type": "A", "id": "A3979", "name": "湖景路"},
{"parent_id": "D800", "children": [], "type": "A", "id": "A1479", "name": "同济路/流行前线"},
{"parent_id": "D800", "children": [], "type": "A", "id": "A1296", "name": "丽日玫瑰"},
{"parent_id": "D800", "children": [], "type": "A", "id": "A1423", "name": "普君新城"},
{"parent_id": "D800", "children": [], "type": "A", "id": "A4439", "name": "季华五路"},
{"parent_id": "D800", "children": [], "type": "A", "id": "A2547", "name": "东方广场"},
{"parent_id": "D800", "children": [], "type": "A", "id": "A1371", "name": "岭南明珠"},
{"parent_id": "D800", "children": [], "type": "A", "id": "A781", "name": "绿景路"},
{"parent_id": "D800", "children": [], "type": "A", "id": "A1965", "name": "朝安"},
{"parent_id": "D800", "children": [], "type": "A", "id": "A541", "name": "魁奇地铁站周边"},
{"parent_id": "D800", "children": [], "type": "A", "id": "A3692", "name": "汾江路沿线"},
{"parent_id": "D800", "children": [], "type": "A", "id": "A1193", "name": "岭南天地"},
{"parent_id": "D800", "children": [], "type": "A", "id": "A1987", "name": "张槎"},
{"parent_id": "D800", "children": [], "type": "A", "id": "A1009", "name": "创意产业园"},
{"parent_id": "D800", "children": [], "type": "A", "id": "A345", "name": "季华路沿线"},
{"parent_id": "D800", "children": [], "type": "A", "id": "A1819", "name": "祖庙"},
{"parent_id": "D800", "children": [], "type": "A", "id": "A1042", "name": "岭南大道"},
{"parent_id": "D800", "children": [], "type": "A", "id": "A3369", "name": "东建世纪广场"}], "type": "D", "id": "D800", "name": "禅城区"},
{"parent_id": "C272", "children": [], "type": "D", "id": "D801", "name": "顺德区"},
{"parent_id": "C272", "children": [
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{"parent_id": "D802", "children": [], "type": "A", "id": "A2548", "name": "金典广场"},
{"parent_id": "D802", "children": [], "type": "A", "id": "A1966", "name": "富盛广场"},
{"parent_id": "D802", "children": [], "type": "A", "id": "A2990", "name": "新城广场"},
{"parent_id": "D802", "children": [], "type": "A", "id": "A3370", "name": "雅居乐广场"}], "type": "D", "id": "D802", "name": "西樵"},
{"parent_id": "C272", "children": [], "type": "D", "id": "D803", "name": "盐步"},
{"parent_id": "C272", "children": [
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{"parent_id": "C272", "children": [
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{"parent_id": "D796", "children": [], "type": "A", "id": "A2545", "name": "嘉洲广场"},
{"parent_id": "D796", "children": [], "type": "A", "id": "A1963", "name": "黄岐步行街"},
{"parent_id": "D796", "children": [], "type": "A", "id": "A1005", "name": "国昌新城市广场"},
{"parent_id": "D796", "children": [], "type": "A", "id": "A3367", "name": "南方广场"}], "type": "D", "id": "D796", "name": "黄岐"},
{"parent_id": "C272", "children": [
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{"parent_id": "D797", "children": [], "type": "A", "id": "A4227", "name": "家天下"},
{"parent_id": "D797", "children": [], "type": "A", "id": "A1682", "name": "壹品广场"},
{"parent_id": "D797", "children": [], "type": "A", "id": "A1513", "name": "松岗"},
{"parent_id": "D797", "children": [], "type": "A", "id": "A123", "name": "九江镇"},
{"parent_id": "D797", "children": [], "type": "A", "id": "A2988", "name": "官窑"},
{"parent_id": "D797", "children": [], "type": "A", "id": "A3978", "name": "佳盛国际"},
{"parent_id": "D797", "children": [], "type": "A", "id": "A1295", "name": "南海体育馆"},
{"parent_id": "D797", "children": [], "type": "A", "id": "A1422", "name": "平洲"},
{"parent_id": "D797", "children": [], "type": "A", "id": "A4438", "name": "南舜.金百福都市广场"},
{"parent_id": "D797", "children": [], "type": "A", "id": "A2546", "name": "丹灶"},
{"parent_id": "D797", "children": [], "type": "A", "id": "A1370", "name": "南舜·桂平美食城"},
{"parent_id": "D797", "children": [], "type": "A", "id": "A780", "name": "里水"},
{"parent_id": "D797", "children": [], "type": "A", "id": "A1964", "name": "百花时代"},
{"parent_id": "D797", "children": [], "type": "A", "id": "A540", "name": "罗村"},
{"parent_id": "D797", "children": [], "type": "A", "id": "A3691", "name": "季华七路/石啃"},
{"parent_id": "D797", "children": [], "type": "A", "id": "A1192", "name": "南海广场"},
{"parent_id": "D797", "children": [], "type": "A", "id": "A1006", "name": "保利水城"},
{"parent_id": "D797", "children": [], "type": "A", "id": "A344", "name": "凯德广场"},
{"parent_id": "D797", "children": [], "type": "A", "id": "A1478", "name": "鹏瑞利季华广场"},
{"parent_id": "D797", "children": [], "type": "A", "id": "A1818", "name": "紫金城"},
{"parent_id": "D797", "children": [], "type": "A", "id": "A1041", "name": "南海新天地"},
{"parent_id": "D797", "children": [], "type": "A", "id": "A3368", "name": "鸿大广场"}], "type": "D", "id": "D797", "name": "南海区"},
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{"parent_id": "D794", "children": [], "type": "A", "id": "A1962", "name": "新都会"},
{"parent_id": "D794", "children": [], "type": "A", "id": "A1003", "name": "巴黎春天"}], "type": "D", "id": "D794", "name": "大沥"},
{"parent_id": "C272", "children": [
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{"parent_id": "D808", "children": [], "type": "A", "id": "A4229", "name": "潮连"},
{"parent_id": "D808", "children": [], "type": "A", "id": "A2992", "name": "白石"},
{"parent_id": "D808", "children": [], "type": "A", "id": "A1014", "name": "江华"},
{"parent_id": "D808", "children": [], "type": "A", "id": "A3980", "name": "荷塘"},
{"parent_id": "D808", "children": [], "type": "A", "id": "A3372", "name": "北郊"},
{"parent_id": "D808", "children": [], "type": "A", "id": "A1969", "name": "益华"},
{"parent_id": "D808", "children": [], "type": "A", "id": "A3693", "name": "白沙"}], "type": "D", "id": "D808", "name": "蓬江区"},
{"parent_id": "C273", "children": [], "type": "D", "id": "D809", "name": "台山市"},
{"parent_id": "C273", "children": [
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{"parent_id": "D810", "children": [], "type": "A", "id": "A1970", "name": "仁寿广场"},
{"parent_id": "D810", "children": [], "type": "A", "id": "A2993", "name": "大润发"},
{"parent_id": "D810", "children": [], "type": "A", "id": "A1015", "name": "世纪广场"}], "type": "D", "id": "D810", "name": "新会区"},
{"parent_id": "C273", "children": [], "type": "D", "id": "D804", "name": "恩平市"},
{"parent_id": "C273", "children": [
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{"parent_id": "D805", "children": [], "type": "A", "id": "A2549", "name": "新天地"},
{"parent_id": "D805", "children": [], "type": "A", "id": "A1967", "name": "大润发"}], "type": "D", "id": "D805", "name": "鹤山市"},
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{"parent_id": "D807", "children": [], "type": "A", "id": "A1013", "name": "长沙区域"},
{"parent_id": "D807", "children": [], "type": "A", "id": "A1968", "name": "城市广场"},
{"parent_id": "D807", "children": [], "type": "A", "id": "A2991", "name": "详龙"},
{"parent_id": "D807", "children": [], "type": "A", "id": "A3371", "name": "水口"}], "type": "D", "id": "D807", "name": "开平市"}], "type": "C", "id": "C273", "name": "江门"},
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{"parent_id": "C270", "children": [], "type": "D", "id": "D782", "name": "金湾区"},
{"parent_id": "C270", "children": [], "type": "D", "id": "D781", "name": "井岸镇"},
{"parent_id": "C270", "children": [], "type": "D", "id": "D780", "name": "吉大"},
{"parent_id": "C270", "children": [], "type": "D", "id": "D787", "name": "前山"},
{"parent_id": "C270", "children": [], "type": "D", "id": "D786", "name": "柠溪"},
{"parent_id": "C270", "children": [], "type": "D", "id": "D789", "name": "湾仔"},
{"parent_id": "C270", "children": [], "type": "D", "id": "D788", "name": "唐家湾"},
{"parent_id": "C270", "children": [], "type": "D", "id": "D785", "name": "南屏"},
{"parent_id": "C270", "children": [], "type": "D", "id": "D784", "name": "明珠商业广场"},
{"parent_id": "C270", "children": [], "type": "D", "id": "D776", "name": "斗门区"},
{"parent_id": "C270", "children": [], "type": "D", "id": "D777", "name": "拱北"},
{"parent_id": "C270", "children": [], "type": "D", "id": "D778", "name": "横琴新区"},
{"parent_id": "C270", "children": [], "type": "D", "id": "D779", "name": "华发世纪城"},
{"parent_id": "C270", "children": [], "type": "D", "id": "D790", "name": "香洲"},
{"parent_id": "C270", "children": [], "type": "D", "id": "D791", "name": "香洲区"},
{"parent_id": "C270", "children": [], "type": "D", "id": "D792", "name": "夏湾"},
{"parent_id": "C270", "children": [], "type": "D", "id": "D793", "name": "新香洲"}], "type": "C", "id": "C270", "name": "珠海"},
{"parent_id": "P11", "children": [], "type": "C", "id": "C271", "name": "汕头"},
{"parent_id": "P11", "children": [], "type": "C", "id": "C278", "name": "梅州"},
{"parent_id": "P11", "children": [], "type": "C", "id": "C279", "name": "汕尾"},
{"parent_id": "P11", "children": [], "type": "C", "id": "C76", "name": "深圳"},
{"parent_id": "P11", "children": [], "type": "C", "id": "C294", "name": "英德"},
{"parent_id": "P11", "children": [], "type": "C", "id": "C290", "name": "开平"},
{"parent_id": "P11", "children": [], "type": "C", "id": "C292", "name": "鹤山"},
{"parent_id": "P11", "children": [], "type": "C", "id": "C293", "name": "乐昌"},
{"parent_id": "P11", "children": [
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{"parent_id": "C433", "children": [
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{"parent_id": "D1080", "children": [], "type": "A", "id": "A3784", "name": "运河路"},
{"parent_id": "D1080", "children": [], "type": "A", "id": "A3475", "name": "堑头/学院路/育兴路"},
{"parent_id": "D1080", "children": [], "type": "A", "id": "A2196", "name": "地王广场/东湖花园"},
{"parent_id": "D1080", "children": [], "type": "A", "id": "A3114", "name": "人民公园/西城楼/可园"},
{"parent_id": "D1080", "children": [], "type": "A", "id": "A1450", "name": "八达路/旗峰路"}], "type": "D", "id": "D1080", "name": "莞城区"},
{"parent_id": "C433", "children": [], "type": "D", "id": "D1081", "name": "横沥镇"},
{"parent_id": "C433", "children": [], "type": "D", "id": "D1086", "name": "寮步镇"},
{"parent_id": "C433", "children": [], "type": "D", "id": "D1087", "name": "麻涌镇"},
{"parent_id": "C433", "children": [
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{"parent_id": "D1084", "children": [], "type": "A", "id": "A2197", "name": "黄江嘉荣"},
{"parent_id": "D1084", "children": [], "type": "A", "id": "A3115", "name": "太子酒店"},
{"parent_id": "D1084", "children": [], "type": "A", "id": "A1453", "name": "黄江大道"}], "type": "D", "id": "D1084", "name": "黄江镇"},
{"parent_id": "C433", "children": [
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{"parent_id": "D1085", "children": [], "type": "A", "id": "A3785", "name": "虎门国际购物中心"},
{"parent_id": "D1085", "children": [], "type": "A", "id": "A3476", "name": "黄河时装城"},
{"parent_id": "D1085", "children": [], "type": "A", "id": "A2198", "name": "博美"},
{"parent_id": "D1085", "children": [], "type": "A", "id": "A3116", "name": "虎门步行街"},
{"parent_id": "D1085", "children": [], "type": "A", "id": "A1454", "name": "不夜天/天虹"}], "type": "D", "id": "D1085", "name": "虎门镇"},
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{"parent_id": "D1088", "children": [], "type": "A", "id": "A2199", "name": "石美"},
{"parent_id": "D1088", "children": [], "type": "A", "id": "A3117", "name": "下坝坊"},
{"parent_id": "D1088", "children": [], "type": "A", "id": "A1455", "name": "华南摩尔"}], "type": "D", "id": "D1088", "name": "万江区"},
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{"parent_id": "D1089", "children": [], "type": "A", "id": "A3786", "name": "名牌商业街/体育路"},
{"parent_id": "D1089", "children": [], "type": "A", "id": "A3477", "name": "景湖时代城/西平"},
{"parent_id": "D1089", "children": [], "type": "A", "id": "A4297", "name": "中心广场/华凯广场"},
{"parent_id": "D1089", "children": [], "type": "A", "id": "A2200", "name": "第一国际/汇一城"},
{"parent_id": "D1089", "children": [], "type": "A", "id": "A4060", "name": "银丰路"},
{"parent_id": "D1089", "children": [], "type": "A", "id": "A3118", "name": "鸿福路口"},
{"parent_id": "D1089", "children": [], "type": "A", "id": "A1456", "name": "城市风景街"}], "type": "D", "id": "D1089", "name": "南城区"},
{"parent_id": "C433", "children": [], "type": "D", "id": "D1073", "name": "石碣镇"},
{"parent_id": "C433", "children": [], "type": "D", "id": "D1072", "name": "大岭山镇"},
{"parent_id": "C433", "children": [
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{"parent_id": "D1071", "children": [], "type": "A", "id": "A2193", "name": "金朗中路"}], "type": "D", "id": "D1071", "name": "大朗镇"},
{"parent_id": "C433", "children": [], "type": "D", "id": "D1070", "name": "茶山镇"},
{"parent_id": "C433", "children": [], "type": "D", "id": "D1077", "name": "东坑镇"},
{"parent_id": "C433", "children": [
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{"parent_id": "D1076", "children": [], "type": "A", "id": "A575", "name": "主山/海港城"},
{"parent_id": "D1076", "children": [], "type": "A", "id": "A4059", "name": "世纪广场"},
{"parent_id": "D1076", "children": [], "type": "A", "id": "A3783", "name": "世博/金月湾/星玺"},
{"parent_id": "D1076", "children": [], "type": "A", "id": "A1448", "name": "东泰/嘉荣广场"},
{"parent_id": "D1076", "children": [], "type": "A", "id": "A3474", "name": "旗峰广场"},
{"parent_id": "D1076", "children": [], "type": "A", "id": "A170", "name": "新世界花园/酒吧街"},
{"parent_id": "D1076", "children": [], "type": "A", "id": "A4495", "name": "星河城/十三碗"},
{"parent_id": "D1076", "children": [], "type": "A", "id": "A2194", "name": "东宝路"},
{"parent_id": "D1076", "children": [], "type": "A", "id": "A4296", "name": "石井"},
{"parent_id": "D1076", "children": [], "type": "A", "id": "A3113", "name": "火炼树/怡丰都市"},
{"parent_id": "D1076", "children": [], "type": "A", "id": "A386", "name": "雍华庭"}], "type": "D", "id": "D1076", "name": "东城区"},
{"parent_id": "C433", "children": [], "type": "D", "id": "D1075", "name": "道滘镇"},
{"parent_id": "C433", "children": [], "type": "D", "id": "D1074", "name": "石龙镇"},
{"parent_id": "C433", "children": [], "type": "D", "id": "D1079", "name": "高埗镇"},
{"parent_id": "C433", "children": [
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{"parent_id": "D1078", "children": [], "type": "A", "id": "A2195", "name": "雁田"}], "type": "D", "id": "D1078", "name": "凤岗镇"},
{"parent_id": "C433", "children": [
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{"parent_id": "D1091", "children": [], "type": "A", "id": "A2201", "name": "金阳广场/天和百货"},
{"parent_id": "D1091", "children": [], "type": "A", "id": "A1458", "name": "聚富路"}], "type": "D", "id": "D1091", "name": "清溪镇"},
{"parent_id": "C433", "children": [
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{"parent_id": "C433", "children": [], "type": "D", "id": "D1093", "name": "沙田镇"},
{"parent_id": "C433", "children": [], "type": "D", "id": "D1092", "name": "企石镇"},
{"parent_id": "C433", "children": [], "type": "D", "id": "D1095", "name": "松山湖"},
{"parent_id": "C433", "children": [], "type": "D", "id": "D1094", "name": "石排镇"},
{"parent_id": "C433", "children": [], "type": "D", "id": "D1097", "name": "望牛墩镇"},
{"parent_id": "C433", "children": [
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{"parent_id": "D1096", "children": [], "type": "A", "id": "A2202", "name": "花园街"},
{"parent_id": "D1096", "children": [], "type": "A", "id": "A3119", "name": "塘厦沃尔玛"},
{"parent_id": "D1096", "children": [], "type": "A", "id": "A1459", "name": "东圃市场"}], "type": "D", "id": "D1096", "name": "塘厦镇"},
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{"parent_id": "C433", "children": [], "type": "D", "id": "D1098", "name": "谢岗镇"},
{"parent_id": "C433", "children": [], "type": "D", "id": "D1100", "name": "中堂镇"},
{"parent_id": "C433", "children": [
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{"parent_id": "D1068", "children": [], "type": "A", "id": "A1444", "name": "长安镇区"},
{"parent_id": "D1068", "children": [], "type": "A", "id": "A3472", "name": "乌沙大润发"},
{"parent_id": "D1068", "children": [], "type": "A", "id": "A2689", "name": "厦边大道"},
{"parent_id": "D1068", "children": [], "type": "A", "id": "A2190", "name": "地王广场"},
{"parent_id": "D1068", "children": [], "type": "A", "id": "A3110", "name": "万达广场"}], "type": "D", "id": "D1068", "name": "长安镇"},
{"parent_id": "C433", "children": [
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{"parent_id": "D1069", "children": [], "type": "A", "id": "A1445", "name": "常平镇中心"},
{"parent_id": "D1069", "children": [], "type": "A", "id": "A3473", "name": "天鹅湖"},
{"parent_id": "D1069", "children": [], "type": "A", "id": "A2191", "name": "丽城酒店"},
{"parent_id": "D1069", "children": [], "type": "A", "id": "A3111", "name": "世纪康城"}], "type": "D", "id": "D1069", "name": "常平镇"}], "type": "C", "id": "C433", "name": "东莞"},
{"parent_id": "P11", "children": [], "type": "C", "id": "C291", "name": "台山"},
{"parent_id": "P11", "children": [
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{"parent_id": "C269", "children": [], "type": "D", "id": "D766", "name": "乐昌市"},
{"parent_id": "C269", "children": [
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{"parent_id": "C269", "children": [], "type": "D", "id": "D768", "name": "曲江区"},
{"parent_id": "C269", "children": [], "type": "D", "id": "D774", "name": "新丰县"},
{"parent_id": "C269", "children": [
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{"parent_id": "D775", "children": [], "type": "A", "id": "A4226", "name": "步行街"},
{"parent_id": "D775", "children": [], "type": "A", "id": "A779", "name": "信德万汇广场"},
{"parent_id": "D775", "children": [], "type": "A", "id": "A2986", "name": "碧桂园凤凰城"},
{"parent_id": "D775", "children": [], "type": "A", "id": "A122", "name": "东河"},
{"parent_id": "D775", "children": [], "type": "A", "id": "A3977", "name": "大润发"},
{"parent_id": "D775", "children": [], "type": "A", "id": "A2543", "name": "东联"},
{"parent_id": "D775", "children": [], "type": "A", "id": "A1961", "name": "百年东街"},
{"parent_id": "D775", "children": [], "type": "A", "id": "A3690", "name": "解放路"},
{"parent_id": "D775", "children": [], "type": "A", "id": "A4437", "name": "中山公园"},
{"parent_id": "D775", "children": [], "type": "A", "id": "A1002", "name": "韶关大学"},
{"parent_id": "D775", "children": [], "type": "A", "id": "A343", "name": "火车站"},
{"parent_id": "D775", "children": [], "type": "A", "id": "A3366", "name": "五里亭"}], "type": "D", "id": "D775", "name": "浈江区"},
{"parent_id": "C269", "children": [], "type": "D", "id": "D772", "name": "翁源县"},
{"parent_id": "C269", "children": [
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{"parent_id": "D773", "children": [], "type": "A", "id": "A3689", "name": "中环广场"},
{"parent_id": "D773", "children": [], "type": "A", "id": "A121", "name": "第十五中学"},
{"parent_id": "D773", "children": [], "type": "A", "id": "A2985", "name": "东岗岭"},
{"parent_id": "D773", "children": [], "type": "A", "id": "A3976", "name": "沃尔玛"},
{"parent_id": "D773", "children": [], "type": "A", "id": "A2542", "name": "旭日玩具厂"},
{"parent_id": "D773", "children": [], "type": "A", "id": "A1960", "name": "工业中路"},
{"parent_id": "D773", "children": [], "type": "A", "id": "A4436", "name": "矿山公园"},
{"parent_id": "D773", "children": [], "type": "A", "id": "A1001", "name": "工业路"},
{"parent_id": "D773", "children": [], "type": "A", "id": "A3365", "name": "西客运站"}], "type": "D", "id": "D773", "name": "武江区"},
{"parent_id": "C269", "children": [], "type": "D", "id": "D770", "name": "乳源瑶族自治县"},
{"parent_id": "C269", "children": [], "type": "D", "id": "D771", "name": "始兴县"}], "type": "C", "id": "C269", "name": "韶关"},
{"parent_id": "P11", "children": [], "type": "C", "id": "C289", "name": "增城"},
{"parent_id": "P11", "children": [], "type": "C", "id": "C288", "name": "惠东"},
{"parent_id": "P11", "children": [
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{"parent_id": "D851", "children": [], "type": "A", "id": "A1992", "name": "威斯广场"}], "type": "D", "id": "D851", "name": "乐从"},
{"parent_id": "C287", "children": [
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{"parent_id": "C287", "children": [
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{"parent_id": "D848", "children": [], "type": "A", "id": "A1990", "name": "陈村旧虚"}], "type": "D", "id": "D848", "name": "陈村"},
{"parent_id": "C287", "children": [
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{"parent_id": "D849", "children": [], "type": "A", "id": "A129", "name": "嘉信广场"},
{"parent_id": "D849", "children": [], "type": "A", "id": "A3701", "name": "福盈酒店"},
{"parent_id": "D849", "children": [], "type": "A", "id": "A2566", "name": "凤岭公园"},
{"parent_id": "D849", "children": [], "type": "A", "id": "A4445", "name": "凤城食都"},
{"parent_id": "D849", "children": [], "type": "A", "id": "A783", "name": "乐购"},
{"parent_id": "D849", "children": [], "type": "A", "id": "A3987", "name": "东乐路"},
{"parent_id": "D849", "children": [], "type": "A", "id": "A4235", "name": "东苑市场"},
{"parent_id": "D849", "children": [], "type": "A", "id": "A3380", "name": "桂畔海沿线"},
{"parent_id": "D849", "children": [], "type": "A", "id": "A349", "name": "新世界"},
{"parent_id": "D849", "children": [], "type": "A", "id": "A1044", "name": "凤城酒店"},
{"parent_id": "D849", "children": [], "type": "A", "id": "A1049", "name": "新一城"},
{"parent_id": "D849", "children": [], "type": "A", "id": "A543", "name": "永旺购物中心"},
{"parent_id": "D849", "children": [], "type": "A", "id": "A1991", "name": "大润发"}], "type": "D", "id": "D849", "name": "大良"},
{"parent_id": "C287", "children": [
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{"parent_id": "D847", "children": [], "type": "A", "id": "A2565", "name": "南源路"},
{"parent_id": "D847", "children": [], "type": "A", "id": "A1989", "name": "北滘广场"},
{"parent_id": "D847", "children": [], "type": "A", "id": "A1047", "name": "华美达酒店"}], "type": "D", "id": "D847", "name": "北滘"},
{"parent_id": "C287", "children": [
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{"parent_id": "C287", "children": [
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{"parent_id": "D855", "children": [], "type": "A", "id": "A3702", "name": "宏骏广场"},
{"parent_id": "D855", "children": [], "type": "A", "id": "A1055", "name": "天佑城"},
{"parent_id": "D855", "children": [], "type": "A", "id": "A3988", "name": "大凤山公园"},
{"parent_id": "D855", "children": [], "type": "A", "id": "A4236", "name": "容山商场"},
{"parent_id": "D855", "children": [], "type": "A", "id": "A3381", "name": "花溪公园"},
{"parent_id": "D855", "children": [], "type": "A", "id": "A1996", "name": "凤祥路"},
{"parent_id": "D855", "children": [], "type": "A", "id": "A2570", "name": "文华路"}], "type": "D", "id": "D855", "name": "容桂"},
{"parent_id": "C287", "children": [
{"parent_id": "D854", "children": [], "type": "A", "id": "A3006", "name": "大福广场"},
{"parent_id": "D854", "children": [], "type": "A", "id": "A1054", "name": "永丰市场"},
{"parent_id": "D854", "children": [], "type": "A", "id": "A2569", "name": "康乐中心"},
{"parent_id": "D854", "children": [], "type": "A", "id": "A1995", "name": "大成花园"}], "type": "D", "id": "D854", "name": "伦教"},
{"parent_id": "C287", "children": [
{"parent_id": "D853", "children": [], "type": "A", "id": "A1053", "name": "盈信城市广场"},
{"parent_id": "D853", "children": [], "type": "A", "id": "A2568", "name": "排沙商圈"},
{"parent_id": "D853", "children": [], "type": "A", "id": "A1994", "name": "前进会展中心"}], "type": "D", "id": "D853", "name": "龙江"},
{"parent_id": "C287", "children": [
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{"parent_id": "D852", "children": [], "type": "A", "id": "A2567", "name": "勒流文化广场"},
{"parent_id": "D852", "children": [], "type": "A", "id": "A1993", "name": "新港城商场"}], "type": "D", "id": "D852", "name": "勒流"}], "type": "C", "id": "C287", "name": "顺德"},
{"parent_id": "P11", "children": [], "type": "C", "id": "C286", "name": "云浮"},
{"parent_id": "P11", "children": [], "type": "C", "id": "C285", "name": "揭阳"},
{"parent_id": "P11", "children": [], "type": "C", "id": "C284", "name": "潮州"},
{"parent_id": "P11", "children": [
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{"parent_id": "C283", "children": [
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{"parent_id": "C283", "children": [], "type": "D", "id": "D828", "name": "阜沙镇"},
{"parent_id": "C283", "children": [
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{"parent_id": "D829", "children": [], "type": "A", "id": "A1027", "name": "美景花园"}], "type": "D", "id": "D829", "name": "港口镇"},
{"parent_id": "C283", "children": [
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{"parent_id": "D826", "children": [], "type": "A", "id": "A1978", "name": "库充一带"},
{"parent_id": "D826", "children": [], "type": "A", "id": "A4444", "name": "利和广场"},
{"parent_id": "D826", "children": [], "type": "A", "id": "A3000", "name": "竹苑周边"},
{"parent_id": "D826", "children": [], "type": "A", "id": "A3986", "name": "白沙湾"},
{"parent_id": "D826", "children": [], "type": "A", "id": "A4234", "name": "东裕路"},
{"parent_id": "D826", "children": [], "type": "A", "id": "A3699", "name": "京华利和"},
{"parent_id": "D826", "children": [], "type": "A", "id": "A1026", "name": "假日广场"},
{"parent_id": "D826", "children": [], "type": "A", "id": "A3378", "name": "远洋城"}], "type": "D", "id": "D826", "name": "东区"},
{"parent_id": "C283", "children": [], "type": "D", "id": "D827", "name": "东升镇"},
{"parent_id": "C283", "children": [], "type": "D", "id": "D823", "name": "板芙镇"},
{"parent_id": "C283", "children": [
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{"parent_id": "D839", "children": [], "type": "A", "id": "A1031", "name": "雅居乐酒店"},
{"parent_id": "D839", "children": [], "type": "A", "id": "A2561", "name": "三乡市场"},
{"parent_id": "D839", "children": [], "type": "A", "id": "A1983", "name": "华丰片区"}], "type": "D", "id": "D839", "name": "三乡镇"},
{"parent_id": "C283", "children": [], "type": "D", "id": "D838", "name": "三角镇"},
{"parent_id": "C283", "children": [], "type": "D", "id": "D831", "name": "横栏镇"},
{"parent_id": "C283", "children": [
{"parent_id": "D830", "children": [], "type": "A", "id": "A1980", "name": "古镇"},
{"parent_id": "D830", "children": [], "type": "A", "id": "A1028", "name": "国贸"}], "type": "D", "id": "D830", "name": "古镇"},
{"parent_id": "C283", "children": [], "type": "D", "id": "D832", "name": "黄圃镇"},
{"parent_id": "C283", "children": [], "type": "D", "id": "D835", "name": "南朗镇"},
{"parent_id": "C283", "children": [], "type": "D", "id": "D834", "name": "民众镇"},
{"parent_id": "C283", "children": [], "type": "D", "id": "D837", "name": "南头镇"},
{"parent_id": "C283", "children": [
{"parent_id": "D836", "children": [], "type": "A", "id": "A1030", "name": "万科一带"},
{"parent_id": "D836", "children": [], "type": "A", "id": "A2560", "name": "南下新码头"},
{"parent_id": "D836", "children": [], "type": "A", "id": "A1982", "name": "悦来南路"}], "type": "D", "id": "D836", "name": "南区"},
{"parent_id": "C283", "children": [
{"parent_id": "D833", "children": [], "type": "A", "id": "A1981", "name": "中山港"},
{"parent_id": "D833", "children": [], "type": "A", "id": "A1029", "name": "张家边"}], "type": "D", "id": "D833", "name": "火炬开发区"},
{"parent_id": "C283", "children": [
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{"parent_id": "D846", "children": [], "type": "A", "id": "A1036", "name": "歧江公园"},
{"parent_id": "D846", "children": [], "type": "A", "id": "A2564", "name": "黄金广场"},
{"parent_id": "D846", "children": [], "type": "A", "id": "A1986", "name": "富华商圈"}], "type": "D", "id": "D846", "name": "西区"},
{"parent_id": "C283", "children": [
{"parent_id": "D844", "children": [], "type": "A", "id": "A1034", "name": "长命水广药"}], "type": "D", "id": "D844", "name": "五桂山区"},
{"parent_id": "C283", "children": [
{"parent_id": "D845", "children": [], "type": "A", "id": "A1035", "name": "大信顺昌"},
{"parent_id": "D845", "children": [], "type": "A", "id": "A2563", "name": "小榄"},
{"parent_id": "D845", "children": [], "type": "A", "id": "A1985", "name": "永宁"}], "type": "D", "id": "D845", "name": "小榄镇"},
{"parent_id": "C283", "children": [
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{"parent_id": "C283", "children": [], "type": "D", "id": "D841", "name": "神湾镇"},
{"parent_id": "C283", "children": [
{"parent_id": "D842", "children": [], "type": "A", "id": "A3002", "name": "峰华28广场"},
{"parent_id": "D842", "children": [], "type": "A", "id": "A3700", "name": "兴中广场"},
{"parent_id": "D842", "children": [], "type": "A", "id": "A1033", "name": "大信新都汇"},
{"parent_id": "D842", "children": [], "type": "A", "id": "A1984", "name": "逢源商业街"},
{"parent_id": "D842", "children": [], "type": "A", "id": "A2562", "name": "孙文步行街"},
{"parent_id": "D842", "children": [], "type": "A", "id": "A3379", "name": "泰安路"}], "type": "D", "id": "D842", "name": "石岐区"},
{"parent_id": "C283", "children": [], "type": "D", "id": "D843", "name": "坦洲镇"}], "type": "C", "id": "C283", "name": "中山"},
{"parent_id": "P11", "children": [
{"parent_id": "C282", "children": [
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{"parent_id": "D819", "children": [], "type": "A", "id": "A1976", "name": "洲心"},
{"parent_id": "D819", "children": [], "type": "A", "id": "A4442", "name": "松岗市场"},
{"parent_id": "D819", "children": [], "type": "A", "id": "A127", "name": "上下廓街"},
{"parent_id": "D819", "children": [], "type": "A", "id": "A3984", "name": "东城"},
{"parent_id": "D819", "children": [], "type": "A", "id": "A782", "name": "南门街"},
{"parent_id": "D819", "children": [], "type": "A", "id": "A4232", "name": "锦绣清城/大润发"},
{"parent_id": "D819", "children": [], "type": "A", "id": "A3697", "name": "小市桥南"},
{"parent_id": "D819", "children": [], "type": "A", "id": "A1194", "name": "城市花园"},
{"parent_id": "D819", "children": [], "type": "A", "id": "A3376", "name": "新城汽车站"},
{"parent_id": "D819", "children": [], "type": "A", "id": "A2998", "name": "东方巴黎/凤城世家"},
{"parent_id": "D819", "children": [], "type": "A", "id": "A1023", "name": "赢之城"},
{"parent_id": "D819", "children": [], "type": "A", "id": "A348", "name": "城市广场"},
{"parent_id": "D819", "children": [], "type": "A", "id": "A1043", "name": "广泰商业街"},
{"parent_id": "D819", "children": [], "type": "A", "id": "A542", "name": "北门街"}], "type": "D", "id": "D819", "name": "清城区"},
{"parent_id": "C282", "children": [], "type": "D", "id": "D818", "name": "连州市"},
{"parent_id": "C282", "children": [], "type": "D", "id": "D822", "name": "英德市"},
{"parent_id": "C282", "children": [
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{"parent_id": "D820", "children": [], "type": "A", "id": "A1977", "name": "广硕文化广场"},
{"parent_id": "D820", "children": [], "type": "A", "id": "A4443", "name": "城北汽车站"},
{"parent_id": "D820", "children": [], "type": "A", "id": "A128", "name": "美林广场"},
{"parent_id": "D820", "children": [], "type": "A", "id": "A3985", "name": "中山路"},
{"parent_id": "D820", "children": [], "type": "A", "id": "A4233", "name": "清和大道"},
{"parent_id": "D820", "children": [], "type": "A", "id": "A3698", "name": "明霞大道"},
{"parent_id": "D820", "children": [], "type": "A", "id": "A3377", "name": "玄真路"},
{"parent_id": "D820", "children": [], "type": "A", "id": "A2999", "name": "骏豪城"},
{"parent_id": "D820", "children": [], "type": "A", "id": "A1024", "name": "恒大世纪旅游城"}], "type": "D", "id": "D820", "name": "清新区"},
{"parent_id": "C282", "children": [], "type": "D", "id": "D821", "name": "阳山县"},
{"parent_id": "C282", "children": [], "type": "D", "id": "D817", "name": "连南瑶族自治县"},
{"parent_id": "C282", "children": [], "type": "D", "id": "D816", "name": "佛冈县"}], "type": "C", "id": "C282", "name": "清远"},
{"parent_id": "P11", "children": [], "type": "C", "id": "C281", "name": "阳江"},
{"parent_id": "P11", "children": [], "type": "C", "id": "C280", "name": "河源"}], "type": "P", "id": "P11", "name": "广东"},
{"parent_id": "N1", "children": [
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{"parent_id": "D1051", "children": [], "type": "A", "id": "A163", "name": "岳麓大学城"},
{"parent_id": "D1051", "children": [], "type": "A", "id": "A1328", "name": "奥克斯广场"},
{"parent_id": "D1051", "children": [], "type": "A", "id": "A2672", "name": "观沙岭/茶子山"},
{"parent_id": "D1051", "children": [], "type": "A", "id": "A4487", "name": "市政府"},
{"parent_id": "D1051", "children": [], "type": "A", "id": "A4288", "name": "涉外经济学院"},
{"parent_id": "D1051", "children": [], "type": "A", "id": "A569", "name": "阳光100"},
{"parent_id": "D1051", "children": [], "type": "A", "id": "A3770", "name": "汽车西站"},
{"parent_id": "D1051", "children": [], "type": "A", "id": "A3095", "name": "含浦"},
{"parent_id": "D1051", "children": [], "type": "A", "id": "A4048", "name": "商学院/人人乐"},
{"parent_id": "D1051", "children": [], "type": "A", "id": "A380", "name": "溁湾镇"},
{"parent_id": "D1051", "children": [], "type": "A", "id": "A2149", "name": "步步高广场"}], "type": "D", "id": "D1051", "name": "岳麓区"},
{"parent_id": "C427", "children": [], "type": "D", "id": "D1050", "name": "望城县"},
{"parent_id": "C427", "children": [
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{"parent_id": "D1052", "children": [], "type": "A", "id": "A3461", "name": "桂花路/车站南路"},
{"parent_id": "D1052", "children": [], "type": "A", "id": "A3096", "name": "高桥"},
{"parent_id": "D1052", "children": [], "type": "A", "id": "A164", "name": "树木岭"},
{"parent_id": "D1052", "children": [], "type": "A", "id": "A1320", "name": "雨花亭"},
{"parent_id": "D1052", "children": [], "type": "A", "id": "A1329", "name": "奥特莱斯/环保路"},
{"parent_id": "D1052", "children": [], "type": "A", "id": "A2673", "name": "德政园/杨家山"},
{"parent_id": "D1052", "children": [], "type": "A", "id": "A570", "name": "体育新城"},
{"parent_id": "D1052", "children": [], "type": "A", "id": "A4488", "name": "汽车南站"},
{"parent_id": "D1052", "children": [], "type": "A", "id": "A4289", "name": "民政学院/香樟路"},
{"parent_id": "D1052", "children": [], "type": "A", "id": "A1218", "name": "喜盈门"},
{"parent_id": "D1052", "children": [], "type": "A", "id": "A1390", "name": "窑岭/长岭"},
{"parent_id": "D1052", "children": [], "type": "A", "id": "A2150", "name": "东塘"},
{"parent_id": "D1052", "children": [], "type": "A", "id": "A1488", "name": "左家塘"},
{"parent_id": "D1052", "children": [], "type": "A", "id": "A1435", "name": "梓园路/省儿童医院"},
{"parent_id": "D1052", "children": [], "type": "A", "id": "A3771", "name": "红星会展中心"},
{"parent_id": "D1052", "children": [], "type": "A", "id": "A871", "name": "铁道学院"},
{"parent_id": "D1052", "children": [], "type": "A", "id": "A4049", "name": "井湾子"},
{"parent_id": "D1052", "children": [], "type": "A", "id": "A381", "name": "识字岭"}], "type": "D", "id": "D1052", "name": "雨花区"},
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{"parent_id": "D1046", "children": [], "type": "A", "id": "A1325", "name": "四方坪"},
{"parent_id": "D1046", "children": [], "type": "A", "id": "A4485", "name": "湘雅附一医院"},
{"parent_id": "D1046", "children": [], "type": "A", "id": "A3768", "name": "世界之窗/国际会展中心"},
{"parent_id": "D1046", "children": [], "type": "A", "id": "A4286", "name": "湘江世纪城"},
{"parent_id": "D1046", "children": [], "type": "A", "id": "A3457", "name": "松桂园"},
{"parent_id": "D1046", "children": [], "type": "A", "id": "A378", "name": "中山亭/乐和城"},
{"parent_id": "D1046", "children": [], "type": "A", "id": "A567", "name": "珠江花城/万国城"},
{"parent_id": "D1046", "children": [], "type": "A", "id": "A2669", "name": "马栏山/鸭子铺"},
{"parent_id": "D1046", "children": [], "type": "A", "id": "A3092", "name": "芙蓉广场"},
{"parent_id": "D1046", "children": [], "type": "A", "id": "A4046", "name": "伍家岭"},
{"parent_id": "D1046", "children": [], "type": "A", "id": "A2146", "name": "开福万达广场"}], "type": "D", "id": "D1046", "name": "开福区"},
{"parent_id": "C427", "children": [], "type": "D", "id": "D1047", "name": "浏阳市"},
{"parent_id": "C427", "children": [
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{"parent_id": "D1044", "children": [], "type": "A", "id": "A4483", "name": "筑梦园"},
{"parent_id": "D1044", "children": [], "type": "A", "id": "A3766", "name": "星沙通程广场"},
{"parent_id": "D1044", "children": [], "type": "A", "id": "A4284", "name": "易初莲花"},
{"parent_id": "D1044", "children": [], "type": "A", "id": "A3455", "name": "泉塘/星城国际"},
{"parent_id": "D1044", "children": [], "type": "A", "id": "A2667", "name": "大众传媒"},
{"parent_id": "D1044", "children": [], "type": "A", "id": "A3090", "name": "黄花镇/黄花机场"},
{"parent_id": "D1044", "children": [], "type": "A", "id": "A4044", "name": "星沙一桥"},
{"parent_id": "D1044", "children": [], "type": "A", "id": "A2144", "name": "城西安置小区"}], "type": "D", "id": "D1044", "name": "长沙县"},
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{"parent_id": "D1045", "children": [], "type": "A", "id": "A1107", "name": "五一广场"},
{"parent_id": "D1045", "children": [], "type": "A", "id": "A160", "name": "汽车东站"},
{"parent_id": "D1045", "children": [], "type": "A", "id": "A1324", "name": "八一路"},
{"parent_id": "D1045", "children": [], "type": "A", "id": "A4484", "name": "梦泽园"},
{"parent_id": "D1045", "children": [], "type": "A", "id": "A3767", "name": "韭菜园"},
{"parent_id": "D1045", "children": [], "type": "A", "id": "A4285", "name": "马王堆"},
{"parent_id": "D1045", "children": [], "type": "A", "id": "A869", "name": "省委"},
{"parent_id": "D1045", "children": [], "type": "A", "id": "A377", "name": "芙蓉广场"},
{"parent_id": "D1045", "children": [], "type": "A", "id": "A1216", "name": "五里牌"},
{"parent_id": "D1045", "children": [], "type": "A", "id": "A3456", "name": "湖南农业大学"},
{"parent_id": "D1045", "children": [], "type": "A", "id": "A566", "name": "司门口"},
{"parent_id": "D1045", "children": [], "type": "A", "id": "A1318", "name": "晚报大道"},
{"parent_id": "D1045", "children": [], "type": "A", "id": "A2668", "name": "德政园"},
{"parent_id": "D1045", "children": [], "type": "A", "id": "A3091", "name": "古曲路/浏阳河婚庆文化园"},
{"parent_id": "D1045", "children": [], "type": "A", "id": "A4045", "name": "烈士公园"},
{"parent_id": "D1045", "children": [], "type": "A", "id": "A1433", "name": "人民中路/朝阳路/融圣国际"},
{"parent_id": "D1045", "children": [], "type": "A", "id": "A2145", "name": "八一桥"}], "type": "D", "id": "D1045", "name": "芙蓉区"},
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{"parent_id": "D1048", "children": [], "type": "A", "id": "A2670", "name": "南站"},
{"parent_id": "D1048", "children": [], "type": "A", "id": "A3458", "name": "沿江风光带外滩"},
{"parent_id": "D1048", "children": [], "type": "A", "id": "A3093", "name": "人人乐/大润发"},
{"parent_id": "D1048", "children": [], "type": "A", "id": "A2147", "name": "灰汤温泉镇"}], "type": "D", "id": "D1048", "name": "宁乡县"},
{"parent_id": "C427", "children": [
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{"parent_id": "D1049", "children": [], "type": "A", "id": "A1108", "name": "识字岭"},
{"parent_id": "D1049", "children": [], "type": "A", "id": "A162", "name": "坡子街"},
{"parent_id": "D1049", "children": [], "type": "A", "id": "A1327", "name": "步行街"},
{"parent_id": "D1049", "children": [], "type": "A", "id": "A2671", "name": "侯家塘"},
{"parent_id": "D1049", "children": [], "type": "A", "id": "A4486", "name": "南门口"},
{"parent_id": "D1049", "children": [], "type": "A", "id": "A3769", "name": "解放西路"},
{"parent_id": "D1049", "children": [], "type": "A", "id": "A4287", "name": "摩天轮"},
{"parent_id": "D1049", "children": [], "type": "A", "id": "A379", "name": "浦沅"},
{"parent_id": "D1049", "children": [], "type": "A", "id": "A1217", "name": "铁道/林科大"},
{"parent_id": "D1049", "children": [], "type": "A", "id": "A3459", "name": "贺龙体育场"},
{"parent_id": "D1049", "children": [], "type": "A", "id": "A568", "name": "人民西路口"},
{"parent_id": "D1049", "children": [], "type": "A", "id": "A1319", "name": "天虹"},
{"parent_id": "D1049", "children": [], "type": "A", "id": "A870", "name": "省政府"},
{"parent_id": "D1049", "children": [], "type": "A", "id": "A3094", "name": "黄土岭"},
{"parent_id": "D1049", "children": [], "type": "A", "id": "A4047", "name": "劳动广场/书院路"},
{"parent_id": "D1049", "children": [], "type": "A", "id": "A1434", "name": "新开铺"},
{"parent_id": "D1049", "children": [], "type": "A", "id": "A2148", "name": "定王台"}], "type": "D", "id": "D1049", "name": "天心区"}], "type": "C", "id": "C427", "name": "长沙"},
{"parent_id": "P10", "children": [
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{"parent_id": "C258", "children": [], "type": "D", "id": "D760", "name": "汉寿县"},
{"parent_id": "C258", "children": [], "type": "D", "id": "D763", "name": "桃源县"},
{"parent_id": "C258", "children": [], "type": "D", "id": "D762", "name": "澧县"},
{"parent_id": "C258", "children": [], "type": "D", "id": "D765", "name": "安乡县"},
{"parent_id": "C258", "children": [
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{"parent_id": "D764", "children": [], "type": "A", "id": "A538", "name": "文理学院"},
{"parent_id": "D764", "children": [], "type": "A", "id": "A3688", "name": "文化宫"},
{"parent_id": "D764", "children": [], "type": "A", "id": "A778", "name": "光荣路"},
{"parent_id": "D764", "children": [], "type": "A", "id": "A2984", "name": "大润发"},
{"parent_id": "D764", "children": [], "type": "A", "id": "A120", "name": "不夜城"},
{"parent_id": "D764", "children": [], "type": "A", "id": "A3975", "name": "火车站"},
{"parent_id": "D764", "children": [], "type": "A", "id": "A1294", "name": "皂果路"},
{"parent_id": "D764", "children": [], "type": "A", "id": "A960", "name": "紫桥"},
{"parent_id": "D764", "children": [], "type": "A", "id": "A1948", "name": "三闾路"},
{"parent_id": "D764", "children": [], "type": "A", "id": "A1191", "name": "武陵大道"},
{"parent_id": "D764", "children": [], "type": "A", "id": "A4435", "name": "水星楼"},
{"parent_id": "D764", "children": [], "type": "A", "id": "A4224", "name": "步行街"},
{"parent_id": "D764", "children": [], "type": "A", "id": "A342", "name": "高山街"},
{"parent_id": "D764", "children": [], "type": "A", "id": "A1040", "name": "东门"},
{"parent_id": "D764", "children": [], "type": "A", "id": "A2539", "name": "梅尼广场"},
{"parent_id": "D764", "children": [], "type": "A", "id": "A3364", "name": "市政府"}], "type": "D", "id": "D764", "name": "武陵区"},
{"parent_id": "C258", "children": [
{"parent_id": "D759", "children": [], "type": "A", "id": "A1947", "name": "桥南"},
{"parent_id": "D759", "children": [], "type": "A", "id": "A959", "name": "德山十字路口"}], "type": "D", "id": "D759", "name": "鼎城区"}], "type": "C", "id": "C258", "name": "常德"},
{"parent_id": "P10", "children": [], "type": "C", "id": "C259", "name": "张家界"},
{"parent_id": "P10", "children": [
{"parent_id": "C253", "children": [
{"parent_id": "D732", "children": [], "type": "A", "id": "A1938", "name": "田心"},
{"parent_id": "D732", "children": [], "type": "A", "id": "A949", "name": "响石广场"},
{"parent_id": "D732", "children": [], "type": "A", "id": "A2530", "name": "清石广场"}], "type": "D", "id": "D732", "name": "石峰区"},
{"parent_id": "C253", "children": [
{"parent_id": "D733", "children": [], "type": "A", "id": "A1939", "name": "红旗广场"},
{"parent_id": "D733", "children": [], "type": "A", "id": "A950", "name": "华润万家"},
{"parent_id": "D733", "children": [], "type": "A", "id": "A2531", "name": "合泰街"}], "type": "D", "id": "D733", "name": "荷塘区"},
{"parent_id": "C253", "children": [], "type": "D", "id": "D731", "name": "茶陵县"},
{"parent_id": "C253", "children": [
{"parent_id": "D736", "children": [], "type": "A", "id": "A1941", "name": "长江广场"},
{"parent_id": "D736", "children": [], "type": "A", "id": "A2533", "name": "沿江风光带"},
{"parent_id": "D736", "children": [], "type": "A", "id": "A952", "name": "神农城"}], "type": "D", "id": "D736", "name": "天元区"},
{"parent_id": "C253", "children": [], "type": "D", "id": "D737", "name": "株洲县"},
{"parent_id": "C253", "children": [
{"parent_id": "D735", "children": [], "type": "A", "id": "A4222", "name": "火车站"},
{"parent_id": "D735", "children": [], "type": "A", "id": "A3686", "name": "徐家桥步行街"},
{"parent_id": "D735", "children": [], "type": "A", "id": "A3973", "name": "七星潮流购物广场"},
{"parent_id": "D735", "children": [], "type": "A", "id": "A1940", "name": "平和堂"},
{"parent_id": "D735", "children": [], "type": "A", "id": "A2978", "name": "王府井"},
{"parent_id": "D735", "children": [], "type": "A", "id": "A2532", "name": "汉华国际"},
{"parent_id": "D735", "children": [], "type": "A", "id": "A3360", "name": "贺家土"},
{"parent_id": "D735", "children": [], "type": "A", "id": "A951", "name": "中心广场"}], "type": "D", "id": "D735", "name": "芦淞区"},
{"parent_id": "C253", "children": [], "type": "D", "id": "D734", "name": "醴陵市"}], "type": "C", "id": "C253", "name": "株洲"},
{"parent_id": "P10", "children": [], "type": "C", "id": "C254", "name": "湘潭"},
{"parent_id": "P10", "children": [
{"parent_id": "C255", "children": [
{"parent_id": "D749", "children": [], "type": "A", "id": "A2982", "name": "苗圃"},
{"parent_id": "D749", "children": [], "type": "A", "id": "A1945", "name": "湘江东路沿线"},
{"parent_id": "D749", "children": [], "type": "A", "id": "A2537", "name": "冶金"},
{"parent_id": "D749", "children": [], "type": "A", "id": "A957", "name": "东风东路沿线"}], "type": "D", "id": "D749", "name": "珠晖区"},
{"parent_id": "C255", "children": [
{"parent_id": "D748", "children": [], "type": "A", "id": "A2981", "name": "华新步步高商场"},
{"parent_id": "D748", "children": [], "type": "A", "id": "A3362", "name": "船山实验中学"},
{"parent_id": "D748", "children": [], "type": "A", "id": "A2536", "name": "华新开发区"},
{"parent_id": "D748", "children": [], "type": "A", "id": "A1944", "name": "立新开发区"},
{"parent_id": "D748", "children": [], "type": "A", "id": "A956", "name": "南华大学"}], "type": "D", "id": "D748", "name": "蒸湘区"},
{"parent_id": "C255", "children": [], "type": "D", "id": "D743", "name": "衡阳县"},
{"parent_id": "C255", "children": [], "type": "D", "id": "D742", "name": "衡山县"},
{"parent_id": "C255", "children": [], "type": "D", "id": "D741", "name": "衡南县"},
{"parent_id": "C255", "children": [], "type": "D", "id": "D740", "name": "衡东县"},
{"parent_id": "C255", "children": [
{"parent_id": "D747", "children": [], "type": "A", "id": "A3361", "name": "老师院/八中"},
{"parent_id": "D747", "children": [], "type": "A", "id": "A2980", "name": "白沙洲广场"},
{"parent_id": "D747", "children": [], "type": "A", "id": "A1943", "name": "中山南路"},
{"parent_id": "D747", "children": [], "type": "A", "id": "A2535", "name": "岳屏公园"},
{"parent_id": "D747", "children": [], "type": "A", "id": "A955", "name": "崇尚广场"}], "type": "D", "id": "D747", "name": "雁峰区"},
{"parent_id": "C255", "children": [], "type": "D", "id": "D746", "name": "祁东县"},
{"parent_id": "C255", "children": [], "type": "D", "id": "D745", "name": "南岳区"},
{"parent_id": "C255", "children": [
{"parent_id": "D744", "children": [], "type": "A", "id": "A954", "name": "耒阳"}], "type": "D", "id": "D744", "name": "耒阳市"},
{"parent_id": "C255", "children": [], "type": "D", "id": "D738", "name": "常宁市"},
{"parent_id": "C255", "children": [
{"parent_id": "D739", "children": [], "type": "A", "id": "A1942", "name": "石鼓广场"},
{"parent_id": "D739", "children": [], "type": "A", "id": "A2979", "name": "西湖公园"},
{"parent_id": "D739", "children": [], "type": "A", "id": "A2534", "name": "莲湖广场"},
{"parent_id": "D739", "children": [], "type": "A", "id": "A953", "name": "解放路口"}], "type": "D", "id": "D739", "name": "石鼓区"}], "type": "C", "id": "C255", "name": "衡阳"},
{"parent_id": "P10", "children": [], "type": "C", "id": "C256", "name": "邵阳"},
{"parent_id": "P10", "children": [
{"parent_id": "C257", "children": [], "type": "D", "id": "D758", "name": "云溪区"},
{"parent_id": "C257", "children": [], "type": "D", "id": "D750", "name": "华容县"},
{"parent_id": "C257", "children": [], "type": "D", "id": "D751", "name": "君山区"},
{"parent_id": "C257", "children": [], "type": "D", "id": "D752", "name": "临湘市"},
{"parent_id": "C257", "children": [], "type": "D", "id": "D753", "name": "汨罗市"},
{"parent_id": "C257", "children": [], "type": "D", "id": "D754", "name": "平江县"},
{"parent_id": "C257", "children": [], "type": "D", "id": "D755", "name": "湘阴县"},
{"parent_id": "C257", "children": [
{"parent_id": "D756", "children": [], "type": "A", "id": "A537", "name": "八字门"},
{"parent_id": "D756", "children": [], "type": "A", "id": "A4223", "name": "火车站"},
{"parent_id": "D756", "children": [], "type": "A", "id": "A3687", "name": "南湖"},
{"parent_id": "D756", "children": [], "type": "A", "id": "A3363", "name": "美食街"},
{"parent_id": "D756", "children": [], "type": "A", "id": "A777", "name": "岳城"},
{"parent_id": "D756", "children": [], "type": "A", "id": "A2983", "name": "汴河街"},
{"parent_id": "D756", "children": [], "type": "A", "id": "A3974", "name": "国大"},
{"parent_id": "D756", "children": [], "type": "A", "id": "A119", "name": "泰和"},
{"parent_id": "D756", "children": [], "type": "A", "id": "A1946", "name": "天伦城"},
{"parent_id": "D756", "children": [], "type": "A", "id": "A4434", "name": "奇家岭"},
{"parent_id": "D756", "children": [], "type": "A", "id": "A341", "name": "花板桥"},
{"parent_id": "D756", "children": [], "type": "A", "id": "A2538", "name": "新路口"},
{"parent_id": "D756", "children": [], "type": "A", "id": "A958", "name": "步行街"}], "type": "D", "id": "D756", "name": "岳阳楼区"},
{"parent_id": "C257", "children": [], "type": "D", "id": "D757", "name": "岳阳县"}], "type": "C", "id": "C257", "name": "岳阳"},
{"parent_id": "P10", "children": [], "type": "C", "id": "C261", "name": "郴州"},
{"parent_id": "P10", "children": [], "type": "C", "id": "C260", "name": "益阳"},
{"parent_id": "P10", "children": [], "type": "C", "id": "C263", "name": "怀化"},
{"parent_id": "P10", "children": [], "type": "C", "id": "C262", "name": "永州"},
{"parent_id": "P10", "children": [], "type": "C", "id": "C265", "name": "湘西"},
{"parent_id": "P10", "children": [], "type": "C", "id": "C264", "name": "娄底"},
{"parent_id": "P10", "children": [], "type": "C", "id": "C267", "name": "耒阳"},
{"parent_id": "P10", "children": [], "type": "C", "id": "C266", "name": "凤凰"},
{"parent_id": "P10", "children": [], "type": "C", "id": "C268", "name": "宁乡"}], "type": "P", "id": "P10", "name": "湖南"},
{"parent_id": "N1", "children": [
{"parent_id": "P9", "children": [], "type": "C", "id": "C236", "name": "十堰"},
{"parent_id": "P9", "children": [
{"parent_id": "C237", "children": [], "type": "D", "id": "D691", "name": "五峰土家族自治县"},
{"parent_id": "C237", "children": [], "type": "D", "id": "D690", "name": "东山开发区"},
{"parent_id": "C237", "children": [], "type": "D", "id": "D695", "name": "兴山县"},
{"parent_id": "C237", "children": [
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{"parent_id": "D694", "children": [], "type": "A", "id": "A2962", "name": "403"},
{"parent_id": "D694", "children": [], "type": "A", "id": "A335", "name": "华祥"},
{"parent_id": "D694", "children": [], "type": "A", "id": "A113", "name": "卓悦广场"},
{"parent_id": "D694", "children": [], "type": "A", "id": "A927", "name": "CBD"},
{"parent_id": "D694", "children": [], "type": "A", "id": "A3676", "name": "北门"},
{"parent_id": "D694", "children": [], "type": "A", "id": "A4214", "name": "国贸商圈"},
{"parent_id": "D694", "children": [], "type": "A", "id": "A1920", "name": "葛洲坝"},
{"parent_id": "D694", "children": [], "type": "A", "id": "A3964", "name": "铁路坝"},
{"parent_id": "D694", "children": [], "type": "A", "id": "A1037", "name": "云集路商圈"},
{"parent_id": "D694", "children": [], "type": "A", "id": "A533", "name": "解放路步行街"},
{"parent_id": "D694", "children": [], "type": "A", "id": "A4427", "name": "东门"},
{"parent_id": "D694", "children": [], "type": "A", "id": "A2513", "name": "绿萝路"},
{"parent_id": "D694", "children": [], "type": "A", "id": "A3349", "name": "星火路"}], "type": "D", "id": "D694", "name": "西陵区"},
{"parent_id": "C237", "children": [
{"parent_id": "D697", "children": [], "type": "A", "id": "A928", "name": "小溪塔"}], "type": "D", "id": "D697", "name": "夷陵区"},
{"parent_id": "C237", "children": [], "type": "D", "id": "D696", "name": "宜都市"},
{"parent_id": "C237", "children": [], "type": "D", "id": "D693", "name": "猇亭区"},
{"parent_id": "C237", "children": [
{"parent_id": "D692", "children": [], "type": "A", "id": "A1919", "name": "五一广场"},
{"parent_id": "D692", "children": [], "type": "A", "id": "A2961", "name": "隆康路"},
{"parent_id": "D692", "children": [], "type": "A", "id": "A926", "name": "万达"},
{"parent_id": "D692", "children": [], "type": "A", "id": "A3675", "name": "胜利三路"},
{"parent_id": "D692", "children": [], "type": "A", "id": "A2512", "name": "胜利四路"},
{"parent_id": "D692", "children": [], "type": "A", "id": "A3348", "name": "南湖公园"}], "type": "D", "id": "D692", "name": "伍家岗区"},
{"parent_id": "C237", "children": [], "type": "D", "id": "D699", "name": "枝江市"},
{"parent_id": "C237", "children": [], "type": "D", "id": "D698", "name": "长阳土家族自治县"},
{"parent_id": "C237", "children": [], "type": "D", "id": "D689", "name": "点军区"},
{"parent_id": "C237", "children": [], "type": "D", "id": "D700", "name": "秭归县"},
{"parent_id": "C237", "children": [], "type": "D", "id": "D688", "name": "当阳市"}], "type": "C", "id": "C237", "name": "宜昌"},
{"parent_id": "P9", "children": [
{"parent_id": "C235", "children": [], "type": "D", "id": "D684", "name": "铁山区"},
{"parent_id": "C235", "children": [
{"parent_id": "D685", "children": [], "type": "A", "id": "A1917", "name": "老下陆"},
{"parent_id": "D685", "children": [], "type": "A", "id": "A923", "name": "新下陆"}], "type": "D", "id": "D685", "name": "下陆区"},
{"parent_id": "C235", "children": [
{"parent_id": "D682", "children": [], "type": "A", "id": "A1915", "name": "步行街/大上海"},
{"parent_id": "D682", "children": [], "type": "A", "id": "A2960", "name": "湖师/沈家营"},
{"parent_id": "D682", "children": [], "type": "A", "id": "A921", "name": "青山湖/延安路"},
{"parent_id": "D682", "children": [], "type": "A", "id": "A3674", "name": "新百/国贸"},
{"parent_id": "D682", "children": [], "type": "A", "id": "A3963", "name": "芜湖路/华新路"},
{"parent_id": "D682", "children": [], "type": "A", "id": "A2510", "name": "黄石大桥/天方花园"},
{"parent_id": "D682", "children": [], "type": "A", "id": "A3347", "name": "湖滨大道/亚光新村"}], "type": "D", "id": "D682", "name": "黄石港区"},
{"parent_id": "C235", "children": [
{"parent_id": "D683", "children": [], "type": "A", "id": "A1916", "name": "团城山开发区"},
{"parent_id": "D683", "children": [], "type": "A", "id": "A922", "name": "花湖开发区"},
{"parent_id": "D683", "children": [], "type": "A", "id": "A2511", "name": "黄金山开发区"}], "type": "D", "id": "D683", "name": "黄石经济开发区"},
{"parent_id": "C235", "children": [
{"parent_id": "D681", "children": [], "type": "A", "id": "A1914", "name": "雨润广场/观山路"},
{"parent_id": "D681", "children": [], "type": "A", "id": "A920", "name": "东风路/黄狮蟹"}], "type": "D", "id": "D681", "name": "大冶市"},
{"parent_id": "C235", "children": [
{"parent_id": "D686", "children": [], "type": "A", "id": "A1918", "name": "上窑/西塞山"},
{"parent_id": "D686", "children": [], "type": "A", "id": "A924", "name": "陈家湾/八卦嘴"}], "type": "D", "id": "D686", "name": "西塞山区"},
{"parent_id": "C235", "children": [
{"parent_id": "D687", "children": [], "type": "A", "id": "A925", "name": "兴国镇"}], "type": "D", "id": "D687", "name": "阳新县"}], "type": "C", "id": "C235", "name": "黄石"},
{"parent_id": "P9", "children": [
{"parent_id": "C238", "children": [
{"parent_id": "D707", "children": [], "type": "A", "id": "A1923", "name": "襄州"},
{"parent_id": "D707", "children": [], "type": "A", "id": "A931", "name": "二汽"}], "type": "D", "id": "D707", "name": "襄州区"},
{"parent_id": "C238", "children": [
{"parent_id": "D706", "children": [], "type": "A", "id": "A2964", "name": "胜利街"},
{"parent_id": "D706", "children": [], "type": "A", "id": "A1922", "name": "檀溪路"},
{"parent_id": "D706", "children": [], "type": "A", "id": "A2515", "name": "闸口"},
{"parent_id": "D706", "children": [], "type": "A", "id": "A930", "name": "鼓楼"}], "type": "D", "id": "D706", "name": "襄城区"},
{"parent_id": "C238", "children": [], "type": "D", "id": "D705", "name": "南漳县"},
{"parent_id": "C238", "children": [], "type": "D", "id": "D704", "name": "老河口市"},
{"parent_id": "C238", "children": [], "type": "D", "id": "D703", "name": "谷城县"},
{"parent_id": "C238", "children": [
{"parent_id": "D702", "children": [], "type": "A", "id": "A2963", "name": "人民广场"},
{"parent_id": "D702", "children": [], "type": "A", "id": "A3350", "name": "华洋堂"},
{"parent_id": "D702", "children": [], "type": "A", "id": "A929", "name": "沃尔玛"},
{"parent_id": "D702", "children": [], "type": "A", "id": "A3677", "name": "鱼梁洲"},
{"parent_id": "D702", "children": [], "type": "A", "id": "A4215", "name": "火车站"},
{"parent_id": "D702", "children": [], "type": "A", "id": "A1921", "name": "华丰路"},
{"parent_id": "D702", "children": [], "type": "A", "id": "A3965", "name": "沿江大道"},
{"parent_id": "D702", "children": [], "type": "A", "id": "A2514", "name": "万达"}], "type": "D", "id": "D702", "name": "樊城区"},
{"parent_id": "C238", "children": [], "type": "D", "id": "D701", "name": "保康县"},
{"parent_id": "C238", "children": [
{"parent_id": "D709", "children": [], "type": "A", "id": "A2965", "name": "汽车站"},
{"parent_id": "D709", "children": [], "type": "A", "id": "A1924", "name": "东园"},
{"parent_id": "D709", "children": [], "type": "A", "id": "A932", "name": "中心商业区"},
{"parent_id": "D709", "children": [], "type": "A", "id": "A2516", "name": "南城"}], "type": "D", "id": "D709", "name": "枣阳市"},
{"parent_id": "C238", "children": [], "type": "D", "id": "D708", "name": "宜城市"}], "type": "C", "id": "C238", "name": "襄阳"},
{"parent_id": "P9", "children": [], "type": "C", "id": "C239", "name": "鄂州"},
{"parent_id": "P9", "children": [], "type": "C", "id": "C250", "name": "枣阳"},
{"parent_id": "P9", "children": [], "type": "C", "id": "C251", "name": "仙桃"},
{"parent_id": "P9", "children": [], "type": "C", "id": "C252", "name": "三峡"},
{"parent_id": "P9", "children": [
{"parent_id": "C374", "children": [
{"parent_id": "D994", "children": [], "type": "A", "id": "A2086", "name": "吴家山"},
{"parent_id": "D994", "children": [], "type": "A", "id": "A1221", "name": "常青花园"}], "type": "D", "id": "D994", "name": "东西湖区"},
{"parent_id": "C374", "children": [], "type": "D", "id": "D995", "name": "汉南区"},
{"parent_id": "C374", "children": [], "type": "D", "id": "D993", "name": "蔡甸区"},
{"parent_id": "C374", "children": [
{"parent_id": "D996", "children": [], "type": "A", "id": "A2087", "name": "王家湾"},
{"parent_id": "D996", "children": [], "type": "A", "id": "A2630", "name": "腰路堤/建港"},
{"parent_id": "D996", "children": [], "type": "A", "id": "A3058", "name": "钟家村"},
{"parent_id": "D996", "children": [], "type": "A", "id": "A3425", "name": "沌口"},
{"parent_id": "D996", "children": [], "type": "A", "id": "A1222", "name": "琴台"}], "type": "D", "id": "D996", "name": "汉阳区"},
{"parent_id": "C374", "children": [], "type": "D", "id": "D998", "name": "黄陂区"},
{"parent_id": "C374", "children": [
{"parent_id": "D999", "children": [], "type": "A", "id": "A3741", "name": "武汉广场"},
{"parent_id": "D999", "children": [], "type": "A", "id": "A2089", "name": "江汉路步行街"},
{"parent_id": "D999", "children": [], "type": "A", "id": "A2632", "name": "菱角湖"},
{"parent_id": "D999", "children": [], "type": "A", "id": "A3060", "name": "六渡桥/汉正街"},
{"parent_id": "D999", "children": [], "type": "A", "id": "A3427", "name": "青年路/常青路"},
{"parent_id": "D999", "children": [], "type": "A", "id": "A4022", "name": "西北湖"},
{"parent_id": "D999", "children": [], "type": "A", "id": "A1224", "name": "汉口火车站"}], "type": "D", "id": "D999", "name": "江汉区"},
{"parent_id": "C374", "children": [
{"parent_id": "D997", "children": [], "type": "A", "id": "A4264", "name": "珞狮南路"},
{"parent_id": "D997", "children": [], "type": "A", "id": "A2088", "name": "东湖风景区"},
{"parent_id": "D997", "children": [], "type": "A", "id": "A3740", "name": "黄家湖大学城"},
{"parent_id": "D997", "children": [], "type": "A", "id": "A2631", "name": "光谷/鲁巷"},
{"parent_id": "D997", "children": [], "type": "A", "id": "A3059", "name": "光谷天地"},
{"parent_id": "D997", "children": [], "type": "A", "id": "A3426", "name": "虎泉/关西"},
{"parent_id": "D997", "children": [], "type": "A", "id": "A4021", "name": "南湖城市广场"},
{"parent_id": "D997", "children": [], "type": "A", "id": "A1223", "name": "石碑岭/街道口"}], "type": "D", "id": "D997", "name": "洪山区"},
{"parent_id": "C374", "children": [
{"parent_id": "D1002", "children": [], "type": "A", "id": "A2092", "name": "仙桃市"},
{"parent_id": "D1002", "children": [], "type": "A", "id": "A1227", "name": "潜江市"}], "type": "D", "id": "D1002", "name": "近郊"},
{"parent_id": "C374", "children": [
{"parent_id": "D1003", "children": [], "type": "A", "id": "A3429", "name": "武胜路"},
{"parent_id": "D1003", "children": [], "type": "A", "id": "A2635", "name": "硚口路"},
{"parent_id": "D1003", "children": [], "type": "A", "id": "A3063", "name": "武胜路凯德广场"},
{"parent_id": "D1003", "children": [], "type": "A", "id": "A2093", "name": "汉西"},
{"parent_id": "D1003", "children": [], "type": "A", "id": "A1228", "name": "古田路"}], "type": "D", "id": "D1003", "name": "硚口区"},
{"parent_id": "C374", "children": [
{"parent_id": "D1000", "children": [], "type": "A", "id": "A4265", "name": "竹叶山/花桥"},
{"parent_id": "D1000", "children": [], "type": "A", "id": "A3428", "name": "三阳路/澳门路"},
{"parent_id": "D1000", "children": [], "type": "A", "id": "A2633", "name": "解放公园/永清街"},
{"parent_id": "D1000", "children": [], "type": "A", "id": "A3061", "name": "客运港/江滩"},
{"parent_id": "D1000", "children": [], "type": "A", "id": "A4468", "name": "竹叶山/后湖"},
{"parent_id": "D1000", "children": [], "type": "A", "id": "A2090", "name": "吉庆街/大智路"},
{"parent_id": "D1000", "children": [], "type": "A", "id": "A4023", "name": "武汉天地"},
{"parent_id": "D1000", "children": [], "type": "A", "id": "A1225", "name": "百步亭/二七"},
{"parent_id": "D1000", "children": [], "type": "A", "id": "A3742", "name": "台北路/香港路"}], "type": "D", "id": "D1000", "name": "江岸区"},
{"parent_id": "C374", "children": [
{"parent_id": "D1001", "children": [], "type": "A", "id": "A2634", "name": "庙山"},
{"parent_id": "D1001", "children": [], "type": "A", "id": "A3062", "name": "纸坊"},
{"parent_id": "D1001", "children": [], "type": "A", "id": "A2091", "name": "大花岭"},
{"parent_id": "D1001", "children": [], "type": "A", "id": "A1226", "name": "藏龙岛"}], "type": "D", "id": "D1001", "name": "江夏区"},
{"parent_id": "C374", "children": [], "type": "D", "id": "D1006", "name": "新洲区"},
{"parent_id": "C374", "children": [
{"parent_id": "D1004", "children": [], "type": "A", "id": "A4266", "name": "武钢厂区/武东"},
{"parent_id": "D1004", "children": [], "type": "A", "id": "A2636", "name": "红钢城/沿港路"},
{"parent_id": "D1004", "children": [], "type": "A", "id": "A3064", "name": "欢乐大道/仁和路"},
{"parent_id": "D1004", "children": [], "type": "A", "id": "A4469", "name": "余家头/四美塘"},
{"parent_id": "D1004", "children": [], "type": "A", "id": "A2094", "name": "工业路"},
{"parent_id": "D1004", "children": [], "type": "A", "id": "A3743", "name": "铁机/柴林花园"},
{"parent_id": "D1004", "children": [], "type": "A", "id": "A4024", "name": "武汉火车站/杨春湖"},
{"parent_id": "D1004", "children": [], "type": "A", "id": "A1229", "name": "奥山/钢都花园"},
{"parent_id": "D1004", "children": [], "type": "A", "id": "A3430", "name": "建二/八大家"}], "type": "D", "id": "D1004", "name": "青山区"},
{"parent_id": "C374", "children": [
{"parent_id": "D1005", "children": [], "type": "A", "id": "A559", "name": "岳家嘴/东亭"},
{"parent_id": "D1005", "children": [], "type": "A", "id": "A2637", "name": "付家坡/大东门"},
{"parent_id": "D1005", "children": [], "type": "A", "id": "A4470", "name": "司门口"},
{"parent_id": "D1005", "children": [], "type": "A", "id": "A3065", "name": "和平大道积玉桥"},
{"parent_id": "D1005", "children": [], "type": "A", "id": "A1230", "name": "白沙洲"},
{"parent_id": "D1005", "children": [], "type": "A", "id": "A4267", "name": "首义汇/阅马场"},
{"parent_id": "D1005", "children": [], "type": "A", "id": "A2095", "name": "丁字桥/石牌岭"},
{"parent_id": "D1005", "children": [], "type": "A", "id": "A818", "name": "中南路/洪山广场"},
{"parent_id": "D1005", "children": [], "type": "A", "id": "A3431", "name": "汉街/水果湖"},
{"parent_id": "D1005", "children": [], "type": "A", "id": "A150", "name": "武昌火车站"},
{"parent_id": "D1005", "children": [], "type": "A", "id": "A3744", "name": "汉街"},
{"parent_id": "D1005", "children": [], "type": "A", "id": "A369", "name": "徐东大街"},
{"parent_id": "D1005", "children": [], "type": "A", "id": "A4025", "name": "南湖花园"}], "type": "D", "id": "D1005", "name": "武昌区"}], "type": "C", "id": "C374", "name": "武汉"},
{"parent_id": "P9", "children": [], "type": "C", "id": "C249", "name": "当阳"},
{"parent_id": "P9", "children": [], "type": "C", "id": "C248", "name": "神农架"},
{"parent_id": "P9", "children": [], "type": "C", "id": "C243", "name": "黄冈"},
{"parent_id": "P9", "children": [
{"parent_id": "C242", "children": [], "type": "D", "id": "D714", "name": "监利县"},
{"parent_id": "C242", "children": [
{"parent_id": "D715", "children": [], "type": "A", "id": "A2966", "name": "荆东路"},
{"parent_id": "D715", "children": [], "type": "A", "id": "A3351", "name": "张居正街"},
{"parent_id": "D715", "children": [], "type": "A", "id": "A3678", "name": "小北门"},
{"parent_id": "D715", "children": [], "type": "A", "id": "A4216", "name": "南环路"},
{"parent_id": "D715", "children": [], "type": "A", "id": "A1925", "name": "东门"},
{"parent_id": "D715", "children": [], "type": "A", "id": "A3966", "name": "老南门"},
{"parent_id": "D715", "children": [], "type": "A", "id": "A935", "name": "花台"},
{"parent_id": "D715", "children": [], "type": "A", "id": "A2517", "name": "荆北路"},
{"parent_id": "D715", "children": [], "type": "A", "id": "A4428", "name": "新南门"}], "type": "D", "id": "D715", "name": "荆州区"},
{"parent_id": "C242", "children": [
{"parent_id": "D716", "children": [], "type": "A", "id": "A1596", "name": "时尚广场"},
{"parent_id": "D716", "children": [], "type": "A", "id": "A1368", "name": "武德路"},
{"parent_id": "D716", "children": [], "type": "A", "id": "A534", "name": "园林路"},
{"parent_id": "D716", "children": [], "type": "A", "id": "A1681", "name": "中山路"},
{"parent_id": "D716", "children": [], "type": "A", "id": "A774", "name": "红门路"},
{"parent_id": "D716", "children": [], "type": "A", "id": "A1512", "name": "北京西路"},
{"parent_id": "D716", "children": [], "type": "A", "id": "A2967", "name": "文化宫"},
{"parent_id": "D716", "children": [], "type": "A", "id": "A1293", "name": "江津路"},
{"parent_id": "D716", "children": [], "type": "A", "id": "A1038", "name": "塔桥路"},
{"parent_id": "D716", "children": [], "type": "A", "id": "A336", "name": "公园路"},
{"parent_id": "D716", "children": [], "type": "A", "id": "A1421", "name": "大庆路"},
{"parent_id": "D716", "children": [], "type": "A", "id": "A3352", "name": "红星路"},
{"parent_id": "D716", "children": [], "type": "A", "id": "A114", "name": "长港路"},
{"parent_id": "D716", "children": [], "type": "A", "id": "A3679", "name": "安良百货"},
{"parent_id": "D716", "children": [], "type": "A", "id": "A4217", "name": "女人街"},
{"parent_id": "D716", "children": [], "type": "A", "id": "A1926", "name": "沙隆达广场"},
{"parent_id": "D716", "children": [], "type": "A", "id": "A1190", "name": "太岳路"},
{"parent_id": "D716", "children": [], "type": "A", "id": "A3967", "name": "江汉南路"},
{"parent_id": "D716", "children": [], "type": "A", "id": "A1477", "name": "北京东路"},
{"parent_id": "D716", "children": [], "type": "A", "id": "A2518", "name": "中央大道"},
{"parent_id": "D716", "children": [], "type": "A", "id": "A4429", "name": "江汉北路"},
{"parent_id": "D716", "children": [], "type": "A", "id": "A936", "name": "美佳华"}], "type": "D", "id": "D716", "name": "沙市区"},
{"parent_id": "C242", "children": [], "type": "D", "id": "D717", "name": "松滋市"},
{"parent_id": "C242", "children": [], "type": "D", "id": "D710", "name": "石首市"},
{"parent_id": "C242", "children": [], "type": "D", "id": "D711", "name": "公安县"},
{"parent_id": "C242", "children": [], "type": "D", "id": "D712", "name": "洪湖市"},
{"parent_id": "C242", "children": [], "type": "D", "id": "D713", "name": "江陵县"}], "type": "C", "id": "C242", "name": "荆州"},
{"parent_id": "P9", "children": [], "type": "C", "id": "C241", "name": "孝感"},
{"parent_id": "P9", "children": [], "type": "C", "id": "C240", "name": "荆门"},
{"parent_id": "P9", "children": [], "type": "C", "id": "C247", "name": "武当山"},
{"parent_id": "P9", "children": [], "type": "C", "id": "C246", "name": "恩施"},
{"parent_id": "P9", "children": [], "type": "C", "id": "C245", "name": "随州"},
{"parent_id": "P9", "children": [], "type": "C", "id": "C244", "name": "咸宁"}], "type": "P", "id": "P9", "name": "湖北"},
{"parent_id": "N1", "children": [
{"parent_id": "P5", "children": [
{"parent_id": "C159", "children": [
{"parent_id": "D468", "children": [], "type": "A", "id": "A792", "name": "罗源县"},
{"parent_id": "D468", "children": [], "type": "A", "id": "A2435", "name": "马尾区"},
{"parent_id": "D468", "children": [], "type": "A", "id": "A1825", "name": "闽侯县"},
{"parent_id": "D468", "children": [], "type": "A", "id": "A3286", "name": "永泰县"},
{"parent_id": "D468", "children": [], "type": "A", "id": "A2890", "name": "闽清县"}], "type": "D", "id": "D468", "name": "近郊"},
{"parent_id": "C159", "children": [
{"parent_id": "D469", "children": [], "type": "A", "id": "A793", "name": "东区/鼓山"},
{"parent_id": "D469", "children": [], "type": "A", "id": "A2436", "name": "福飞路/新店"},
{"parent_id": "D469", "children": [], "type": "A", "id": "A3916", "name": "省图书馆/六一北路"},
{"parent_id": "D469", "children": [], "type": "A", "id": "A4174", "name": "泰禾广场"},
{"parent_id": "D469", "children": [], "type": "A", "id": "A1826", "name": "福新路/塔头"},
{"parent_id": "D469", "children": [], "type": "A", "id": "A4391", "name": "五四北"},
{"parent_id": "D469", "children": [], "type": "A", "id": "A509", "name": "岳峰镇"},
{"parent_id": "D469", "children": [], "type": "A", "id": "A82", "name": "五里亭"},
{"parent_id": "D469", "children": [], "type": "A", "id": "A290", "name": "象园"},
{"parent_id": "D469", "children": [], "type": "A", "id": "A3287", "name": "金鸡山公园"},
{"parent_id": "D469", "children": [], "type": "A", "id": "A2891", "name": "火车站"},
{"parent_id": "D469", "children": [], "type": "A", "id": "A3622", "name": "建材市场/茶会"}], "type": "D", "id": "D469", "name": "晋安区"},
{"parent_id": "C159", "children": [
{"parent_id": "D466", "children": [], "type": "A", "id": "A4389", "name": "万达广场"},
{"parent_id": "D466", "children": [], "type": "A", "id": "A790", "name": "成龙步行街"},
{"parent_id": "D466", "children": [], "type": "A", "id": "A2433", "name": "公安局办证中心"},
{"parent_id": "D466", "children": [], "type": "A", "id": "A3914", "name": "龙田镇"},
{"parent_id": "D466", "children": [], "type": "A", "id": "A4172", "name": "南门"},
{"parent_id": "D466", "children": [], "type": "A", "id": "A1823", "name": "东门"},
{"parent_id": "D466", "children": [], "type": "A", "id": "A2888", "name": "好又多"},
{"parent_id": "D466", "children": [], "type": "A", "id": "A80", "name": "西门"},
{"parent_id": "D466", "children": [], "type": "A", "id": "A3284", "name": "宏路"},
{"parent_id": "D466", "children": [], "type": "A", "id": "A3620", "name": "街心公园"}], "type": "D", "id": "D466", "name": "福清市"},
{"parent_id": "C159", "children": [
{"parent_id": "D467", "children": [], "type": "A", "id": "A791", "name": "东街口"},
{"parent_id": "D467", "children": [], "type": "A", "id": "A289", "name": "乌山西路"},
{"parent_id": "D467", "children": [], "type": "A", "id": "A2434", "name": "鼓屏路/屏山公园"},
{"parent_id": "D467", "children": [], "type": "A", "id": "A3915", "name": "铜盘路/软件园"},
{"parent_id": "D467", "children": [], "type": "A", "id": "A4173", "name": "五一广场"},
{"parent_id": "D467", "children": [], "type": "A", "id": "A738", "name": "左海/西湖公园"},
{"parent_id": "D467", "children": [], "type": "A", "id": "A1824", "name": "五四路/福州广场"},
{"parent_id": "D467", "children": [], "type": "A", "id": "A2889", "name": "金牛山/洪山桥"},
{"parent_id": "D467", "children": [], "type": "A", "id": "A4390", "name": "乌山/冠亚广场"},
{"parent_id": "D467", "children": [], "type": "A", "id": "A508", "name": "西禅寺"},
{"parent_id": "D467", "children": [], "type": "A", "id": "A81", "name": "温泉公园/华林路"},
{"parent_id": "D467", "children": [], "type": "A", "id": "A3285", "name": "蒙古营"},
{"parent_id": "D467", "children": [], "type": "A", "id": "A3621", "name": "省体/湖前"}], "type": "D", "id": "D467", "name": "鼓楼区"},
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{"parent_id": "D465", "children": [], "type": "A", "id": "A288", "name": "农林大学"},
{"parent_id": "D465", "children": [], "type": "A", "id": "A2432", "name": "福湾"},
{"parent_id": "D465", "children": [], "type": "A", "id": "A986", "name": "上渡建材"},
{"parent_id": "D465", "children": [], "type": "A", "id": "A3913", "name": "红坊海峡创意产业园"},
{"parent_id": "D465", "children": [], "type": "A", "id": "A4171", "name": "金山新华都"},
{"parent_id": "D465", "children": [], "type": "A", "id": "A1822", "name": "仓山万达"},
{"parent_id": "D465", "children": [], "type": "A", "id": "A2887", "name": "盖山"},
{"parent_id": "D465", "children": [], "type": "A", "id": "A1278", "name": "新西客站"},
{"parent_id": "D465", "children": [], "type": "A", "id": "A737", "name": "三叉街"},
{"parent_id": "D465", "children": [], "type": "A", "id": "A1175", "name": "学生街"},
{"parent_id": "D465", "children": [], "type": "A", "id": "A3619", "name": "黄山"},
{"parent_id": "D465", "children": [], "type": "A", "id": "A789", "name": "白湖亭"},
{"parent_id": "D465", "children": [], "type": "A", "id": "A507", "name": "榕城广场"},
{"parent_id": "D465", "children": [], "type": "A", "id": "A3283", "name": "火车南站"},
{"parent_id": "D465", "children": [], "type": "A", "id": "A79", "name": "建新镇"}], "type": "D", "id": "D465", "name": "仓山区"},
{"parent_id": "C159", "children": [], "type": "D", "id": "D471", "name": "平潭县"},
{"parent_id": "C159", "children": [], "type": "D", "id": "D470", "name": "连江县"},
{"parent_id": "C159", "children": [
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{"parent_id": "D473", "children": [], "type": "A", "id": "A2438", "name": "长山湖"},
{"parent_id": "D473", "children": [], "type": "A", "id": "A3918", "name": "罗马花园"},
{"parent_id": "D473", "children": [], "type": "A", "id": "A4176", "name": "闽运汽车站"},
{"parent_id": "D473", "children": [], "type": "A", "id": "A1828", "name": "冰心公园"},
{"parent_id": "D473", "children": [], "type": "A", "id": "A4393", "name": "南山"},
{"parent_id": "D473", "children": [], "type": "A", "id": "A84", "name": "市标"},
{"parent_id": "D473", "children": [], "type": "A", "id": "A291", "name": "西洋"},
{"parent_id": "D473", "children": [], "type": "A", "id": "A3289", "name": "河下街"},
{"parent_id": "D473", "children": [], "type": "A", "id": "A2893", "name": "东关"},
{"parent_id": "D473", "children": [], "type": "A", "id": "A3624", "name": "锦江花园"}], "type": "D", "id": "D473", "name": "长乐市"},
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{"parent_id": "D472", "children": [], "type": "A", "id": "A2437", "name": "工业路/茶亭"},
{"parent_id": "D472", "children": [], "type": "A", "id": "A3917", "name": "台江万达"},
{"parent_id": "D472", "children": [], "type": "A", "id": "A4175", "name": "台江广场/元洪城"},
{"parent_id": "D472", "children": [], "type": "A", "id": "A1827", "name": "大利嘉/汽车南站"},
{"parent_id": "D472", "children": [], "type": "A", "id": "A4392", "name": "中亭街"},
{"parent_id": "D472", "children": [], "type": "A", "id": "A83", "name": "中亭街"},
{"parent_id": "D472", "children": [], "type": "A", "id": "A3288", "name": "工业路/博美诗邦"},
{"parent_id": "D472", "children": [], "type": "A", "id": "A2892", "name": "工业路/群升国际"},
{"parent_id": "D472", "children": [], "type": "A", "id": "A3623", "name": "黎明/小柳市场"}], "type": "D", "id": "D472", "name": "台江区"}], "type": "C", "id": "C159", "name": "福州"},
{"parent_id": "P5", "children": [], "type": "C", "id": "C170", "name": "晋江"},
{"parent_id": "P5", "children": [], "type": "C", "id": "C168", "name": "福清"},
{"parent_id": "P5", "children": [], "type": "C", "id": "C169", "name": "长乐"},
{"parent_id": "P5", "children": [], "type": "C", "id": "C166", "name": "龙岩"},
{"parent_id": "P5", "children": [], "type": "C", "id": "C167", "name": "宁德"},
{"parent_id": "P5", "children": [
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{"parent_id": "C164", "children": [
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{"parent_id": "D505", "children": [], "type": "A", "id": "A1839", "name": "永嘉天地"}], "type": "D", "id": "D505", "name": "漳浦县"},
{"parent_id": "C164", "children": [], "type": "D", "id": "D504", "name": "云霄县"},
{"parent_id": "C164", "children": [
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{"parent_id": "C164", "children": [
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{"parent_id": "C164", "children": [
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{"parent_id": "D503", "children": [], "type": "A", "id": "A809", "name": "中闽"},
{"parent_id": "D503", "children": [], "type": "A", "id": "A3297", "name": "夜市"},
{"parent_id": "D503", "children": [], "type": "A", "id": "A2901", "name": "商业城"},
{"parent_id": "D503", "children": [], "type": "A", "id": "A4181", "name": "天下广场"},
{"parent_id": "D503", "children": [], "type": "A", "id": "A2447", "name": "大学城"},
{"parent_id": "D503", "children": [], "type": "A", "id": "A3631", "name": "闽师大"},
{"parent_id": "D503", "children": [], "type": "A", "id": "A4398", "name": "世纪广场"},
{"parent_id": "D503", "children": [], "type": "A", "id": "A88", "name": "延安广场"},
{"parent_id": "D503", "children": [], "type": "A", "id": "A3924", "name": "大润发"},
{"parent_id": "D503", "children": [], "type": "A", "id": "A295", "name": "沃尔玛"},
{"parent_id": "D503", "children": [], "type": "A", "id": "A1838", "name": "一七五商圈"}], "type": "D", "id": "D503", "name": "芗城区"},
{"parent_id": "C164", "children": [], "type": "D", "id": "D502", "name": "平和县"},
{"parent_id": "C164", "children": [
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{"parent_id": "D499", "children": [], "type": "A", "id": "A1837", "name": "石码"}], "type": "D", "id": "D499", "name": "龙海市"}], "type": "C", "id": "C164", "name": "漳州"},
{"parent_id": "P5", "children": [], "type": "C", "id": "C165", "name": "南平"},
{"parent_id": "P5", "children": [], "type": "C", "id": "C162", "name": "三明"},
{"parent_id": "P5", "children": [
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{"parent_id": "C163", "children": [], "type": "D", "id": "D487", "name": "德化县"},
{"parent_id": "C163", "children": [
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{"parent_id": "D488", "children": [], "type": "A", "id": "A802", "name": "丰泽广场"},
{"parent_id": "D488", "children": [], "type": "A", "id": "A3294", "name": "侨乡体育馆"},
{"parent_id": "D488", "children": [], "type": "A", "id": "A4180", "name": "国贸商城"},
{"parent_id": "D488", "children": [], "type": "A", "id": "A2444", "name": "六灌路"},
{"parent_id": "D488", "children": [], "type": "A", "id": "A4397", "name": "中心客运站商圈"},
{"parent_id": "D488", "children": [], "type": "A", "id": "A87", "name": "领SHOW天地"},
{"parent_id": "D488", "children": [], "type": "A", "id": "A741", "name": "宝洲路"},
{"parent_id": "D488", "children": [], "type": "A", "id": "A294", "name": "浦西万达广场"},
{"parent_id": "D488", "children": [], "type": "A", "id": "A1834", "name": "东海"},
{"parent_id": "D488", "children": [], "type": "A", "id": "A2898", "name": "大洋百货"},
{"parent_id": "D488", "children": [], "type": "A", "id": "A3629", "name": "丰泽街"},
{"parent_id": "D488", "children": [], "type": "A", "id": "A3922", "name": "现代广场"}], "type": "D", "id": "D488", "name": "丰泽区"},
{"parent_id": "C163", "children": [], "type": "D", "id": "D489", "name": "惠安县"},
{"parent_id": "C163", "children": [], "type": "D", "id": "D495", "name": "泉港区"},
{"parent_id": "C163", "children": [], "type": "D", "id": "D494", "name": "清濛开发区"},
{"parent_id": "C163", "children": [], "type": "D", "id": "D497", "name": "永春县"},
{"parent_id": "C163", "children": [], "type": "D", "id": "D496", "name": "安溪县"},
{"parent_id": "C163", "children": [], "type": "D", "id": "D493", "name": "南安市"},
{"parent_id": "C163", "children": [
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{"parent_id": "C163", "children": [
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{"parent_id": "D491", "children": [], "type": "A", "id": "A3296", "name": "T淘园"},
{"parent_id": "D491", "children": [], "type": "A", "id": "A2900", "name": "九一路"},
{"parent_id": "D491", "children": [], "type": "A", "id": "A2446", "name": "文庙"},
{"parent_id": "D491", "children": [], "type": "A", "id": "A3630", "name": "凯德广场"},
{"parent_id": "D491", "children": [], "type": "A", "id": "A1836", "name": "中山路"},
{"parent_id": "D491", "children": [], "type": "A", "id": "A3923", "name": "文化宫"}], "type": "D", "id": "D491", "name": "鲤城区"},
{"parent_id": "C163", "children": [
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{"parent_id": "D490", "children": [], "type": "A", "id": "A2445", "name": "万达广场"},
{"parent_id": "D490", "children": [], "type": "A", "id": "A803", "name": "晋江时代广场"},
{"parent_id": "D490", "children": [], "type": "A", "id": "A1835", "name": "池店"},
{"parent_id": "D490", "children": [], "type": "A", "id": "A2899", "name": "SM广场"}], "type": "D", "id": "D490", "name": "晋江市"}], "type": "C", "id": "C163", "name": "泉州"},
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{"parent_id": "C160", "children": [], "type": "D", "id": "D479", "name": "同安区"},
{"parent_id": "C160", "children": [
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{"parent_id": "D478", "children": [], "type": "A", "id": "A510", "name": "文灶/火车站"},
{"parent_id": "D478", "children": [], "type": "A", "id": "A987", "name": "仙岳路沿线"},
{"parent_id": "D478", "children": [], "type": "A", "id": "A4178", "name": "莲花"},
{"parent_id": "D478", "children": [], "type": "A", "id": "A739", "name": "卧龙晓城"},
{"parent_id": "D478", "children": [], "type": "A", "id": "A3291", "name": "湖滨北路东段"},
{"parent_id": "D478", "children": [], "type": "A", "id": "A2441", "name": "禾祥西路沿线"},
{"parent_id": "D478", "children": [], "type": "A", "id": "A1176", "name": "中山路/轮渡"},
{"parent_id": "D478", "children": [], "type": "A", "id": "A4395", "name": "罗宾森广场"},
{"parent_id": "D478", "children": [], "type": "A", "id": "A85", "name": "瑞景"},
{"parent_id": "D478", "children": [], "type": "A", "id": "A3920", "name": "莲前大道"},
{"parent_id": "D478", "children": [], "type": "A", "id": "A292", "name": "厦门大学"},
{"parent_id": "D478", "children": [], "type": "A", "id": "A1831", "name": "环岛路沿线"},
{"parent_id": "D478", "children": [], "type": "A", "id": "A2895", "name": "湖滨北路西段"},
{"parent_id": "D478", "children": [], "type": "A", "id": "A3626", "name": "莲坂/火车站"}], "type": "D", "id": "D478", "name": "思明区"},
{"parent_id": "C160", "children": [
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{"parent_id": "C160", "children": [], "type": "D", "id": "D474", "name": "鼓浪屿"},
{"parent_id": "C160", "children": [
{"parent_id": "D477", "children": [], "type": "A", "id": "A798", "name": "集美学村"},
{"parent_id": "D477", "children": [], "type": "A", "id": "A2440", "name": "杏林"},
{"parent_id": "D477", "children": [], "type": "A", "id": "A1830", "name": "集美万达广场"}], "type": "D", "id": "D477", "name": "集美区"},
{"parent_id": "C160", "children": [
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{"parent_id": "D476", "children": [], "type": "A", "id": "A2439", "name": "江头"},
{"parent_id": "D476", "children": [], "type": "A", "id": "A3919", "name": "塘边"},
{"parent_id": "D476", "children": [], "type": "A", "id": "A4177", "name": "万达广场"},
{"parent_id": "D476", "children": [], "type": "A", "id": "A3290", "name": "SM城市广场"},
{"parent_id": "D476", "children": [], "type": "A", "id": "A1829", "name": "湖里公园"},
{"parent_id": "D476", "children": [], "type": "A", "id": "A4394", "name": "五缘湾乐都汇"},
{"parent_id": "D476", "children": [], "type": "A", "id": "A2894", "name": "金尚小区"},
{"parent_id": "D476", "children": [], "type": "A", "id": "A3625", "name": "TBK枋湖客运中心"}], "type": "D", "id": "D476", "name": "湖里区"}], "type": "C", "id": "C160", "name": "厦门"},
{"parent_id": "P5", "children": [
{"parent_id": "C161", "children": [], "type": "D", "id": "D482", "name": "涵江区"},
{"parent_id": "C161", "children": [
{"parent_id": "D483", "children": [], "type": "A", "id": "A801", "name": "新汽车站"},
{"parent_id": "D483", "children": [], "type": "A", "id": "A3293", "name": "金鼎广场"},
{"parent_id": "D483", "children": [], "type": "A", "id": "A2443", "name": "文献步行街"},
{"parent_id": "D483", "children": [], "type": "A", "id": "A1833", "name": "正荣时代广场"},
{"parent_id": "D483", "children": [], "type": "A", "id": "A2897", "name": "体育中心"},
{"parent_id": "D483", "children": [], "type": "A", "id": "A3628", "name": "天九湾"}], "type": "D", "id": "D483", "name": "荔城区"},
{"parent_id": "C161", "children": [], "type": "D", "id": "D484", "name": "仙游县"},
{"parent_id": "C161", "children": [
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{"parent_id": "D481", "children": [], "type": "A", "id": "A800", "name": "万达广场"},
{"parent_id": "D481", "children": [], "type": "A", "id": "A4179", "name": "莆田学院"},
{"parent_id": "D481", "children": [], "type": "A", "id": "A3292", "name": "市政府"},
{"parent_id": "D481", "children": [], "type": "A", "id": "A2442", "name": "名店女人街"},
{"parent_id": "D481", "children": [], "type": "A", "id": "A4396", "name": "大唐广场"},
{"parent_id": "D481", "children": [], "type": "A", "id": "A86", "name": "荔城南大道"},
{"parent_id": "D481", "children": [], "type": "A", "id": "A3921", "name": "荔城中大道"},
{"parent_id": "D481", "children": [], "type": "A", "id": "A740", "name": "沟头圆圈"},
{"parent_id": "D481", "children": [], "type": "A", "id": "A293", "name": "北磨"},
{"parent_id": "D481", "children": [], "type": "A", "id": "A1832", "name": "田尾圆圈"},
{"parent_id": "D481", "children": [], "type": "A", "id": "A2896", "name": "三信电子城"},
{"parent_id": "D481", "children": [], "type": "A", "id": "A3627", "name": "高楼"}], "type": "D", "id": "D481", "name": "城厢区"},
{"parent_id": "C161", "children": [], "type": "D", "id": "D485", "name": "秀屿区"}], "type": "C", "id": "C161", "name": "莆田"}], "type": "P", "id": "P5", "name": "福建"},
{"parent_id": "N1", "children": [
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{"parent_id": "D633", "children": [], "type": "A", "id": "A3950", "name": "新港"},
{"parent_id": "D633", "children": [], "type": "A", "id": "A2942", "name": "汉沽城区"},
{"parent_id": "D633", "children": [], "type": "A", "id": "A2491", "name": "大港学府路"},
{"parent_id": "D633", "children": [], "type": "A", "id": "A884", "name": "大港城区"},
{"parent_id": "D633", "children": [], "type": "A", "id": "A1892", "name": "大港油田"},
{"parent_id": "D633", "children": [], "type": "A", "id": "A3331", "name": "经济开发区"}], "type": "D", "id": "D633", "name": "滨海新区"},
{"parent_id": "C215", "children": [
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{"parent_id": "D637", "children": [], "type": "A", "id": "A3664", "name": "南楼"},
{"parent_id": "D637", "children": [], "type": "A", "id": "A4206", "name": "图书大厦"},
{"parent_id": "D637", "children": [], "type": "A", "id": "A770", "name": "新业广场"},
{"parent_id": "D637", "children": [], "type": "A", "id": "A1188", "name": "永安道"},
{"parent_id": "D637", "children": [], "type": "A", "id": "A3953", "name": "体院北"},
{"parent_id": "D637", "children": [], "type": "A", "id": "A2946", "name": "乐园道"},
{"parent_id": "D637", "children": [], "type": "A", "id": "A2495", "name": "尖山"},
{"parent_id": "D637", "children": [], "type": "A", "id": "A1292", "name": "越秀路"},
{"parent_id": "D637", "children": [], "type": "A", "id": "A888", "name": "宾西"},
{"parent_id": "D637", "children": [], "type": "A", "id": "A108", "name": "佟楼"},
{"parent_id": "D637", "children": [], "type": "A", "id": "A1016", "name": "友谊路"},
{"parent_id": "D637", "children": [], "type": "A", "id": "A3335", "name": "梅江"},
{"parent_id": "D637", "children": [], "type": "A", "id": "A529", "name": "下瓦房"},
{"parent_id": "D637", "children": [], "type": "A", "id": "A1896", "name": "挂甲寺"},
{"parent_id": "D637", "children": [], "type": "A", "id": "A327", "name": "小海地"}], "type": "D", "id": "D637", "name": "河西区"},
{"parent_id": "C215", "children": [
{"parent_id": "D636", "children": [], "type": "A", "id": "A3952", "name": "西康路沿线"},
{"parent_id": "D636", "children": [], "type": "A", "id": "A2945", "name": "鞍山道沿线"},
{"parent_id": "D636", "children": [], "type": "A", "id": "A2494", "name": "南市"},
{"parent_id": "D636", "children": [], "type": "A", "id": "A887", "name": "滨江道"},
{"parent_id": "D636", "children": [], "type": "A", "id": "A3334", "name": "五大道"},
{"parent_id": "D636", "children": [], "type": "A", "id": "A3663", "name": "小白楼"},
{"parent_id": "D636", "children": [], "type": "A", "id": "A1895", "name": "和平路"}], "type": "D", "id": "D636", "name": "和平区"},
{"parent_id": "C215", "children": [
{"parent_id": "D635", "children": [], "type": "A", "id": "A4418", "name": "卫国道"},
{"parent_id": "D635", "children": [], "type": "A", "id": "A3662", "name": "河东万达广场"},
{"parent_id": "D635", "children": [], "type": "A", "id": "A4205", "name": "天津站后广场"},
{"parent_id": "D635", "children": [], "type": "A", "id": "A3951", "name": "万新村"},
{"parent_id": "D635", "children": [], "type": "A", "id": "A2944", "name": "二宫"},
{"parent_id": "D635", "children": [], "type": "A", "id": "A2493", "name": "大桥道"},
{"parent_id": "D635", "children": [], "type": "A", "id": "A886", "name": "大王庄"},
{"parent_id": "D635", "children": [], "type": "A", "id": "A3333", "name": "工业大学"},
{"parent_id": "D635", "children": [], "type": "A", "id": "A107", "name": "中山门"},
{"parent_id": "D635", "children": [], "type": "A", "id": "A1894", "name": "大直沽"}], "type": "D", "id": "D635", "name": "河东区"},
{"parent_id": "C215", "children": [
{"parent_id": "D634", "children": [], "type": "A", "id": "A3661", "name": "中山路"},
{"parent_id": "D634", "children": [], "type": "A", "id": "A2943", "name": "王串场/民权门"},
{"parent_id": "D634", "children": [], "type": "A", "id": "A2492", "name": "天泰路/榆关道"},
{"parent_id": "D634", "children": [], "type": "A", "id": "A885", "name": "金钟河大街"},
{"parent_id": "D634", "children": [], "type": "A", "id": "A3332", "name": "意大利风情区/火车站"},
{"parent_id": "D634", "children": [], "type": "A", "id": "A1893", "name": "狮子林大街"}], "type": "D", "id": "D634", "name": "河北区"},
{"parent_id": "C215", "children": [
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{"parent_id": "D639", "children": [], "type": "A", "id": "A3955", "name": "宁河县"},
{"parent_id": "D639", "children": [], "type": "A", "id": "A3666", "name": "蓟县"},
{"parent_id": "D639", "children": [], "type": "A", "id": "A2948", "name": "津南区"},
{"parent_id": "D639", "children": [], "type": "A", "id": "A2497", "name": "东丽区"},
{"parent_id": "D639", "children": [], "type": "A", "id": "A3337", "name": "静海县"},
{"parent_id": "D639", "children": [], "type": "A", "id": "A1898", "name": "宝坻区"},
{"parent_id": "D639", "children": [], "type": "A", "id": "A890", "name": "北辰区"},
{"parent_id": "D639", "children": [], "type": "A", "id": "A4421", "name": "西青区"}], "type": "D", "id": "D639", "name": "近郊"},
{"parent_id": "C215", "children": [
{"parent_id": "D638", "children": [], "type": "A", "id": "A3665", "name": "凯莱赛/西沽"},
{"parent_id": "D638", "children": [], "type": "A", "id": "A4207", "name": "邵公庄/创意街"},
{"parent_id": "D638", "children": [], "type": "A", "id": "A3954", "name": "鹏欣水游城/大丰路"},
{"parent_id": "D638", "children": [], "type": "A", "id": "A2947", "name": "大胡同/天津之眼"},
{"parent_id": "D638", "children": [], "type": "A", "id": "A2496", "name": "丁字沽"},
{"parent_id": "D638", "children": [], "type": "A", "id": "A889", "name": "本溪路"},
{"parent_id": "D638", "children": [], "type": "A", "id": "A3336", "name": "芥园道/复兴路"},
{"parent_id": "D638", "children": [], "type": "A", "id": "A4420", "name": "天津西站/欧亚达"},
{"parent_id": "D638", "children": [], "type": "A", "id": "A1897", "name": "水木天成"}], "type": "D", "id": "D638", "name": "红桥区"},
{"parent_id": "C215", "children": [
{"parent_id": "D158", "children": [], "type": "A", "id": "A2770", "name": "华南广场"},
{"parent_id": "D158", "children": [], "type": "A", "id": "A3835", "name": "山东路沿线"},
{"parent_id": "D158", "children": [], "type": "A", "id": "A1629", "name": "万达广场"},
{"parent_id": "D158", "children": [], "type": "A", "id": "A3529", "name": "南关岭"},
{"parent_id": "D158", "children": [], "type": "A", "id": "A4331", "name": "周水子"},
{"parent_id": "D158", "children": [], "type": "A", "id": "A3180", "name": "凌水镇/理工大学"},
{"parent_id": "D158", "children": [], "type": "A", "id": "A2293", "name": "高新园区"},
{"parent_id": "D158", "children": [], "type": "A", "id": "A4101", "name": "小平岛"},
{"parent_id": "D158", "children": [], "type": "A", "id": "A406", "name": "春柳东特购物广场"}], "type": "D", "id": "D158", "name": "甘井子区"},
{"parent_id": "C215", "children": [
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{"parent_id": "D159", "children": [], "type": "A", "id": "A1630", "name": "普兰店市"},
{"parent_id": "D159", "children": [], "type": "A", "id": "A3181", "name": "长海县"},
{"parent_id": "D159", "children": [], "type": "A", "id": "A2294", "name": "瓦房店市"},
{"parent_id": "D159", "children": [], "type": "A", "id": "A407", "name": "金石滩"}], "type": "D", "id": "D159", "name": "近郊"},
{"parent_id": "C215", "children": [
{"parent_id": "D640", "children": [], "type": "A", "id": "A4209", "name": "南开大学/八里台"},
{"parent_id": "D640", "children": [], "type": "A", "id": "A1189", "name": "咸阳路/黄河道"},
{"parent_id": "D640", "children": [], "type": "A", "id": "A771", "name": "天拖地区"},
{"parent_id": "D640", "children": [], "type": "A", "id": "A3956", "name": "海光寺/六里台"},
{"parent_id": "D640", "children": [], "type": "A", "id": "A3667", "name": "老城厢/鼓楼"},
{"parent_id": "D640", "children": [], "type": "A", "id": "A2949", "name": "大悦城"},
{"parent_id": "D640", "children": [], "type": "A", "id": "A2498", "name": "长虹公园"},
{"parent_id": "D640", "children": [], "type": "A", "id": "A109", "name": "时代奥城"},
{"parent_id": "D640", "children": [], "type": "A", "id": "A1017", "name": "王顶堤/华苑"},
{"parent_id": "D640", "children": [], "type": "A", "id": "A530", "name": "天佑城/西南角"},
{"parent_id": "D640", "children": [], "type": "A", "id": "A3338", "name": "乐天/新世界/远东百货"},
{"parent_id": "D640", "children": [], "type": "A", "id": "A1899", "name": "白堤路/风荷园"},
{"parent_id": "D640", "children": [], "type": "A", "id": "A891", "name": "鞍山西道"},
{"parent_id": "D640", "children": [], "type": "A", "id": "A328", "name": "水上/天塔"},
{"parent_id": "D640", "children": [], "type": "A", "id": "A4422", "name": "南开公园/中学/医院"}], "type": "D", "id": "D640", "name": "南开区"},
{"parent_id": "C215", "children": [
{"parent_id": "D165", "children": [], "type": "A", "id": "A2774", "name": "老虎滩"},
{"parent_id": "D165", "children": [], "type": "A", "id": "A3837", "name": "胜利广场/青泥洼桥"},
{"parent_id": "D165", "children": [], "type": "A", "id": "A410", "name": "二七广场"},
{"parent_id": "D165", "children": [], "type": "A", "id": "A653", "name": "中南路"},
{"parent_id": "D165", "children": [], "type": "A", "id": "A4333", "name": "天津街"},
{"parent_id": "D165", "children": [], "type": "A", "id": "A1633", "name": "港湾广场"},
{"parent_id": "D165", "children": [], "type": "A", "id": "A3184", "name": "民主广场"},
{"parent_id": "D165", "children": [], "type": "A", "id": "A463", "name": "中山广场/延安路"},
{"parent_id": "D165", "children": [], "type": "A", "id": "A2297", "name": "解放路沿线"},
{"parent_id": "D165", "children": [], "type": "A", "id": "A4103", "name": "三八广场"},
{"parent_id": "D165", "children": [], "type": "A", "id": "A3532", "name": "人民路"},
{"parent_id": "D165", "children": [], "type": "A", "id": "A30", "name": "桃源"},
{"parent_id": "D165", "children": [], "type": "A", "id": "A222", "name": "友好广场"}], "type": "D", "id": "D165", "name": "中山区"},
{"parent_id": "C215", "children": [
{"parent_id": "D164", "children": [], "type": "A", "id": "A2773", "name": "大菜市/站北广场"},
{"parent_id": "D164", "children": [], "type": "A", "id": "A1632", "name": "八一路沿线"},
{"parent_id": "D164", "children": [], "type": "A", "id": "A3183", "name": "人民广场/新开路"},
{"parent_id": "D164", "children": [], "type": "A", "id": "A2296", "name": "北京街"},
{"parent_id": "D164", "children": [], "type": "A", "id": "A3531", "name": "五一广场"},
{"parent_id": "D164", "children": [], "type": "A", "id": "A409", "name": "奥林匹克广场"}], "type": "D", "id": "D164", "name": "西岗区"},
{"parent_id": "C215", "children": [
{"parent_id": "D163", "children": [], "type": "A", "id": "A2772", "name": "黑石礁"},
{"parent_id": "D163", "children": [], "type": "A", "id": "A3836", "name": "软件园/数码广场"},
{"parent_id": "D163", "children": [], "type": "A", "id": "A4332", "name": "西安路沿线"},
{"parent_id": "D163", "children": [], "type": "A", "id": "A29", "name": "星海湾/星海广场"},
{"parent_id": "D163", "children": [], "type": "A", "id": "A2295", "name": "黄河路沿线"},
{"parent_id": "D163", "children": [], "type": "A", "id": "A1631", "name": "和平广场"},
{"parent_id": "D163", "children": [], "type": "A", "id": "A3182", "name": "解放广场"},
{"parent_id": "D163", "children": [], "type": "A", "id": "A4102", "name": "太原街沿线"},
{"parent_id": "D163", "children": [], "type": "A", "id": "A462", "name": "星海公园"},
{"parent_id": "D163", "children": [], "type": "A", "id": "A3530", "name": "马栏子"},
{"parent_id": "D163", "children": [], "type": "A", "id": "A408", "name": "白山路"},
{"parent_id": "D163", "children": [], "type": "A", "id": "A221", "name": "星海湾"}], "type": "D", "id": "D163", "name": "沙河口区"},
{"parent_id": "C215", "children": [], "type": "D", "id": "D162", "name": "旅顺口区"},
{"parent_id": "C215", "children": [], "type": "D", "id": "D161", "name": "开发区"},
{"parent_id": "C215", "children": [], "type": "D", "id": "D160", "name": "金州区"}], "type": "C", "id": "C215", "name": "天津"}], "type": "P", "id": "P12", "name": "天津"},
{"parent_id": "N1", "children": [
{"parent_id": "P7", "children": [
{"parent_id": "C194", "children": [], "type": "D", "id": "D589", "name": "金乡县"},
{"parent_id": "C194", "children": [], "type": "D", "id": "D588", "name": "嘉祥县"},
{"parent_id": "C194", "children": [
{"parent_id": "D592", "children": [], "type": "A", "id": "A1880", "name": "亿丰时代广场"},
{"parent_id": "D592", "children": [], "type": "A", "id": "A865", "name": "佳世客"},
{"parent_id": "D592", "children": [], "type": "A", "id": "A2480", "name": "济安桥路"},
{"parent_id": "D592", "children": [], "type": "A", "id": "A2932", "name": "车站西路"}], "type": "D", "id": "D592", "name": "任城区"},
{"parent_id": "C194", "children": [
{"parent_id": "D593", "children": [], "type": "A", "id": "A4410", "name": "科苑路"},
{"parent_id": "D593", "children": [], "type": "A", "id": "A99", "name": "车站东路"},
{"parent_id": "D593", "children": [], "type": "A", "id": "A4197", "name": "古槐路"},
{"parent_id": "D593", "children": [], "type": "A", "id": "A1881", "name": "火车站"},
{"parent_id": "D593", "children": [], "type": "A", "id": "A521", "name": "江南春美食街"},
{"parent_id": "D593", "children": [], "type": "A", "id": "A866", "name": "运河城"},
{"parent_id": "D593", "children": [], "type": "A", "id": "A3651", "name": "新体育馆"},
{"parent_id": "D593", "children": [], "type": "A", "id": "A748", "name": "秀水城"},
{"parent_id": "D593", "children": [], "type": "A", "id": "A305", "name": "洸河路"},
{"parent_id": "D593", "children": [], "type": "A", "id": "A3942", "name": "大润发"},
{"parent_id": "D593", "children": [], "type": "A", "id": "A2481", "name": "吴泰闸路"},
{"parent_id": "D593", "children": [], "type": "A", "id": "A2933", "name": "共青团路"},
{"parent_id": "D593", "children": [], "type": "A", "id": "A993", "name": "火炬路"},
{"parent_id": "D593", "children": [], "type": "A", "id": "A3322", "name": "东银座"}], "type": "D", "id": "D593", "name": "市中区"},
{"parent_id": "C194", "children": [], "type": "D", "id": "D590", "name": "梁山县"},
{"parent_id": "C194", "children": [], "type": "D", "id": "D591", "name": "曲阜市"},
{"parent_id": "C194", "children": [], "type": "D", "id": "D596", "name": "汶上县"},
{"parent_id": "C194", "children": [
{"parent_id": "D597", "children": [], "type": "A", "id": "A4411", "name": "龙桥南路"},
{"parent_id": "D597", "children": [], "type": "A", "id": "A4198", "name": "南护城河路"},
{"parent_id": "D597", "children": [], "type": "A", "id": "A1182", "name": "贵和/银座"},
{"parent_id": "D597", "children": [], "type": "A", "id": "A1882", "name": "体育馆"},
{"parent_id": "D597", "children": [], "type": "A", "id": "A867", "name": "火车站"},
{"parent_id": "D597", "children": [], "type": "A", "id": "A522", "name": "圣德国际酒店"},
{"parent_id": "D597", "children": [], "type": "A", "id": "A1357", "name": "九州商厦"},
{"parent_id": "D597", "children": [], "type": "A", "id": "A3652", "name": "北师范"},
{"parent_id": "D597", "children": [], "type": "A", "id": "A749", "name": "九州方圆"},
{"parent_id": "D597", "children": [], "type": "A", "id": "A306", "name": "少陵公园"},
{"parent_id": "D597", "children": [], "type": "A", "id": "A3943", "name": "农高园"},
{"parent_id": "D597", "children": [], "type": "A", "id": "A1416", "name": "兴隆庄镇"},
{"parent_id": "D597", "children": [], "type": "A", "id": "A1284", "name": "广场商厦"},
{"parent_id": "D597", "children": [], "type": "A", "id": "A2482", "name": "大禹像"},
{"parent_id": "D597", "children": [], "type": "A", "id": "A2934", "name": "东关"},
{"parent_id": "D597", "children": [], "type": "A", "id": "A994", "name": "九州大道"},
{"parent_id": "D597", "children": [], "type": "A", "id": "A3323", "name": "鼓楼"},
{"parent_id": "D597", "children": [], "type": "A", "id": "A100", "name": "博物馆"}], "type": "D", "id": "D597", "name": "兖州区"},
{"parent_id": "C194", "children": [], "type": "D", "id": "D594", "name": "泗水县"},
{"parent_id": "C194", "children": [], "type": "D", "id": "D595", "name": "微山县"},
{"parent_id": "C194", "children": [], "type": "D", "id": "D598", "name": "鱼台县"},
{"parent_id": "C194", "children": [], "type": "D", "id": "D599", "name": "邹城市"}], "type": "C", "id": "C194", "name": "济宁"},
{"parent_id": "P7", "children": [], "type": "C", "id": "C214", "name": "新泰"},
{"parent_id": "P7", "children": [], "type": "C", "id": "C210", "name": "文登"},
{"parent_id": "P7", "children": [], "type": "C", "id": "C211", "name": "乳山"},
{"parent_id": "P7", "children": [], "type": "C", "id": "C212", "name": "曲阜"},
{"parent_id": "P7", "children": [], "type": "C", "id": "C213", "name": "邹平"},
{"parent_id": "P7", "children": [], "type": "C", "id": "C197", "name": "日照"},
{"parent_id": "P7", "children": [
{"parent_id": "C196", "children": [
{"parent_id": "D606", "children": [], "type": "A", "id": "A4413", "name": "车管所"},
{"parent_id": "D606", "children": [], "type": "A", "id": "A4200", "name": "新闻大厦"},
{"parent_id": "D606", "children": [], "type": "A", "id": "A1184", "name": "幸福广场"},
{"parent_id": "D606", "children": [], "type": "A", "id": "A1884", "name": "钦村"},
{"parent_id": "D606", "children": [], "type": "A", "id": "A524", "name": "海悦国际"},
{"parent_id": "D606", "children": [], "type": "A", "id": "A3654", "name": "寨子"},
{"parent_id": "D606", "children": [], "type": "A", "id": "A872", "name": "自由东方"},
{"parent_id": "D606", "children": [], "type": "A", "id": "A308", "name": "哈工大"},
{"parent_id": "D606", "children": [], "type": "A", "id": "A3945", "name": "小商品"},
{"parent_id": "D606", "children": [], "type": "A", "id": "A751", "name": "山大"},
{"parent_id": "D606", "children": [], "type": "A", "id": "A2484", "name": "凤凰城"},
{"parent_id": "D606", "children": [], "type": "A", "id": "A2936", "name": "张村"},
{"parent_id": "D606", "children": [], "type": "A", "id": "A996", "name": "国际海水浴场"},
{"parent_id": "D606", "children": [], "type": "A", "id": "A3325", "name": "田村"},
{"parent_id": "D606", "children": [], "type": "A", "id": "A102", "name": "利群商厦"}], "type": "D", "id": "D606", "name": "高区"},
{"parent_id": "C196", "children": [
{"parent_id": "D607", "children": [], "type": "A", "id": "A1959", "name": "远遥"},
{"parent_id": "D607", "children": [], "type": "A", "id": "A4414", "name": "山花大厦"},
{"parent_id": "D607", "children": [], "type": "A", "id": "A2123", "name": "银座商场"},
{"parent_id": "D607", "children": [], "type": "A", "id": "A4201", "name": "会展中心"},
{"parent_id": "D607", "children": [], "type": "A", "id": "A1510", "name": "市政府"},
{"parent_id": "D607", "children": [], "type": "A", "id": "A1185", "name": "振华商厦"},
{"parent_id": "D607", "children": [], "type": "A", "id": "A1885", "name": "威胜"},
{"parent_id": "D607", "children": [], "type": "A", "id": "A997", "name": "华联"},
{"parent_id": "D607", "children": [], "type": "A", "id": "A1579", "name": "实验中学"},
{"parent_id": "D607", "children": [], "type": "A", "id": "A1805", "name": "海港大厦"},
{"parent_id": "D607", "children": [], "type": "A", "id": "A525", "name": "菊花顶"},
{"parent_id": "D607", "children": [], "type": "A", "id": "A1359", "name": "市立医院"},
{"parent_id": "D607", "children": [], "type": "A", "id": "A3655", "name": "名座"},
{"parent_id": "D607", "children": [], "type": "A", "id": "A1679", "name": "财富广场"},
{"parent_id": "D607", "children": [], "type": "A", "id": "A873", "name": "三联家电"},
{"parent_id": "D607", "children": [], "type": "A", "id": "A309", "name": "威高广场"},
{"parent_id": "D607", "children": [], "type": "A", "id": "A3946", "name": "骨科医院"},
{"parent_id": "D607", "children": [], "type": "A", "id": "A752", "name": "华联购物"},
{"parent_id": "D607", "children": [], "type": "A", "id": "A1286", "name": "西门"},
{"parent_id": "D607", "children": [], "type": "A", "id": "A2485", "name": "银座家居"},
{"parent_id": "D607", "children": [], "type": "A", "id": "A2937", "name": "大润发"},
{"parent_id": "D607", "children": [], "type": "A", "id": "A1475", "name": "西北山"},
{"parent_id": "D607", "children": [], "type": "A", "id": "A2070", "name": "振华奥特莱斯"},
{"parent_id": "D607", "children": [], "type": "A", "id": "A3326", "name": "抱海"},
{"parent_id": "D607", "children": [], "type": "A", "id": "A2161", "name": "韩国风情街"},
{"parent_id": "D607", "children": [], "type": "A", "id": "A103", "name": "尚城国际"},
{"parent_id": "D607", "children": [], "type": "A", "id": "A1418", "name": "大世界"}], "type": "D", "id": "D607", "name": "环翠区"},
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{"parent_id": "D608", "children": [], "type": "A", "id": "A4202", "name": "蒿泊"},
{"parent_id": "D608", "children": [], "type": "A", "id": "A1886", "name": "威海公园"},
{"parent_id": "D608", "children": [], "type": "A", "id": "A310", "name": "皇冠"},
{"parent_id": "D608", "children": [], "type": "A", "id": "A526", "name": "乐天玛特"},
{"parent_id": "D608", "children": [], "type": "A", "id": "A3656", "name": "长峰"},
{"parent_id": "D608", "children": [], "type": "A", "id": "A874", "name": "佳世客"},
{"parent_id": "D608", "children": [], "type": "A", "id": "A3947", "name": "百度城"},
{"parent_id": "D608", "children": [], "type": "A", "id": "A753", "name": "九龙城"},
{"parent_id": "D608", "children": [], "type": "A", "id": "A2486", "name": "羊亭"},
{"parent_id": "D608", "children": [], "type": "A", "id": "A2938", "name": "新港"},
{"parent_id": "D608", "children": [], "type": "A", "id": "A3327", "name": "凤林"},
{"parent_id": "D608", "children": [], "type": "A", "id": "A104", "name": "齐鲁商城"}], "type": "D", "id": "D608", "name": "经济开发区"},
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{"parent_id": "D609", "children": [], "type": "A", "id": "A3657", "name": "中信银行"},
{"parent_id": "D609", "children": [], "type": "A", "id": "A875", "name": "石岛管理区"},
{"parent_id": "D609", "children": [], "type": "A", "id": "A2487", "name": "威百商厦"},
{"parent_id": "D609", "children": [], "type": "A", "id": "A2939", "name": "大润发"},
{"parent_id": "D609", "children": [], "type": "A", "id": "A3328", "name": "振华商厦"}], "type": "D", "id": "D609", "name": "荣成市"},
{"parent_id": "C196", "children": [], "type": "D", "id": "D611", "name": "文登市"},
{"parent_id": "C196", "children": [], "type": "D", "id": "D610", "name": "乳山市"}], "type": "C", "id": "C196", "name": "威海"},
{"parent_id": "P7", "children": [
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{"parent_id": "D604", "children": [], "type": "A", "id": "A4412", "name": "岱道庵路"},
{"parent_id": "D604", "children": [], "type": "A", "id": "A2122", "name": "擂鼓石大街"},
{"parent_id": "D604", "children": [], "type": "A", "id": "A4199", "name": "青年路"},
{"parent_id": "D604", "children": [], "type": "A", "id": "A1183", "name": "迎胜路"},
{"parent_id": "D604", "children": [], "type": "A", "id": "A2185", "name": "长途汽车站"},
{"parent_id": "D604", "children": [], "type": "A", "id": "A1883", "name": "齐鲁银座"},
{"parent_id": "D604", "children": [], "type": "A", "id": "A523", "name": "长城路"},
{"parent_id": "D604", "children": [], "type": "A", "id": "A868", "name": "火车站广场"},
{"parent_id": "D604", "children": [], "type": "A", "id": "A1578", "name": "金桥服装城"},
{"parent_id": "D604", "children": [], "type": "A", "id": "A2215", "name": "泰山大街"},
{"parent_id": "D604", "children": [], "type": "A", "id": "A1804", "name": "银泰中心"},
{"parent_id": "D604", "children": [], "type": "A", "id": "A2069", "name": "东湖公园"},
{"parent_id": "D604", "children": [], "type": "A", "id": "A1358", "name": "花园银座"},
{"parent_id": "D604", "children": [], "type": "A", "id": "A3653", "name": "灵山大街"},
{"parent_id": "D604", "children": [], "type": "A", "id": "A1678", "name": "宝龙城市广场"},
{"parent_id": "D604", "children": [], "type": "A", "id": "A2329", "name": "科山路"},
{"parent_id": "D604", "children": [], "type": "A", "id": "A1509", "name": "市政广场"},
{"parent_id": "D604", "children": [], "type": "A", "id": "A307", "name": "新汽车站"},
{"parent_id": "D604", "children": [], "type": "A", "id": "A3944", "name": "龙潭路"},
{"parent_id": "D604", "children": [], "type": "A", "id": "A1417", "name": "银座城市广场"},
{"parent_id": "D604", "children": [], "type": "A", "id": "A750", "name": "南湖路"},
{"parent_id": "D604", "children": [], "type": "A", "id": "A1285", "name": "银座奥特莱斯"},
{"parent_id": "D604", "children": [], "type": "A", "id": "A2483", "name": "上河桥"},
{"parent_id": "D604", "children": [], "type": "A", "id": "A2257", "name": "岱宗银座"},
{"parent_id": "D604", "children": [], "type": "A", "id": "A2935", "name": "校场街"},
{"parent_id": "D604", "children": [], "type": "A", "id": "A2207", "name": "温州步行街"},
{"parent_id": "D604", "children": [], "type": "A", "id": "A1474", "name": "大润发"},
{"parent_id": "D604", "children": [], "type": "A", "id": "A995", "name": "文化路"},
{"parent_id": "D604", "children": [], "type": "A", "id": "A3324", "name": "财源街"},
{"parent_id": "D604", "children": [], "type": "A", "id": "A2160", "name": "岱庙"},
{"parent_id": "D604", "children": [], "type": "A", "id": "A101", "name": "红门路"}], "type": "D", "id": "D604", "name": "泰山区"},
{"parent_id": "C195", "children": [], "type": "D", "id": "D605", "name": "新泰市"},
{"parent_id": "C195", "children": [], "type": "D", "id": "D602", "name": "肥城市"},
{"parent_id": "C195", "children": [], "type": "D", "id": "D603", "name": "宁阳县"},
{"parent_id": "C195", "children": [], "type": "D", "id": "D600", "name": "岱岳区"},
{"parent_id": "C195", "children": [], "type": "D", "id": "D601", "name": "东平县"}], "type": "C", "id": "C195", "name": "泰安"},
{"parent_id": "P7", "children": [
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{"parent_id": "D585", "children": [], "type": "A", "id": "A863", "name": "东城全福元"},
{"parent_id": "D585", "children": [], "type": "A", "id": "A3650", "name": "潍坊科技学院"},
{"parent_id": "D585", "children": [], "type": "A", "id": "A3941", "name": "银座商城"},
{"parent_id": "D585", "children": [], "type": "A", "id": "A2930", "name": "新汽车站"},
{"parent_id": "D585", "children": [], "type": "A", "id": "A3321", "name": "正阳路"},
{"parent_id": "D585", "children": [], "type": "A", "id": "A1878", "name": "缤纷五洲"}], "type": "D", "id": "D585", "name": "寿光市"},
{"parent_id": "C193", "children": [], "type": "D", "id": "D584", "name": "安丘市"},
{"parent_id": "C193", "children": [], "type": "D", "id": "D587", "name": "诸城市"},
{"parent_id": "C193", "children": [
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{"parent_id": "D586", "children": [], "type": "A", "id": "A864", "name": "中百"},
{"parent_id": "D586", "children": [], "type": "A", "id": "A2931", "name": "金沙广场"},
{"parent_id": "D586", "children": [], "type": "A", "id": "A1879", "name": "万家福"}], "type": "D", "id": "D586", "name": "潍城区"},
{"parent_id": "C193", "children": [
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{"parent_id": "D581", "children": [], "type": "A", "id": "A2476", "name": "新华路佳乐家"},
{"parent_id": "D581", "children": [], "type": "A", "id": "A861", "name": "泰华"},
{"parent_id": "D581", "children": [], "type": "A", "id": "A2928", "name": "凯德广场"},
{"parent_id": "D581", "children": [], "type": "A", "id": "A3319", "name": "东盛广场"},
{"parent_id": "D581", "children": [], "type": "A", "id": "A3940", "name": "圣荣"},
{"parent_id": "D581", "children": [], "type": "A", "id": "A1876", "name": "振华"}], "type": "D", "id": "D581", "name": "奎文区"},
{"parent_id": "C193", "children": [], "type": "D", "id": "D580", "name": "寒亭区"},
{"parent_id": "C193", "children": [
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{"parent_id": "D583", "children": [], "type": "A", "id": "A2477", "name": "宋城"},
{"parent_id": "D583", "children": [], "type": "A", "id": "A862", "name": "海岱路"},
{"parent_id": "D583", "children": [], "type": "A", "id": "A2929", "name": "大润发/泰丰购物广场"},
{"parent_id": "D583", "children": [], "type": "A", "id": "A3320", "name": "青都"},
{"parent_id": "D583", "children": [], "type": "A", "id": "A1877", "name": "中都"}], "type": "D", "id": "D583", "name": "青州市"},
{"parent_id": "C193", "children": [], "type": "D", "id": "D582", "name": "临朐县"},
{"parent_id": "C193", "children": [], "type": "D", "id": "D578", "name": "高密市"},
{"parent_id": "C193", "children": [
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{"parent_id": "C193", "children": [], "type": "D", "id": "D575", "name": "昌乐县"},
{"parent_id": "C193", "children": [], "type": "D", "id": "D576", "name": "昌邑市"},
{"parent_id": "C193", "children": [], "type": "D", "id": "D577", "name": "坊子区"}], "type": "C", "id": "C193", "name": "潍坊"},
{"parent_id": "P7", "children": [
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{"parent_id": "C192", "children": [], "type": "D", "id": "D563", "name": "海阳市"},
{"parent_id": "C192", "children": [], "type": "D", "id": "D562", "name": "高新区"},
{"parent_id": "C192", "children": [
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{"parent_id": "C192", "children": [], "type": "D", "id": "D567", "name": "莱州市"},
{"parent_id": "C192", "children": [], "type": "D", "id": "D566", "name": "莱阳市"},
{"parent_id": "C192", "children": [
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{"parent_id": "D564", "children": [], "type": "A", "id": "A2925", "name": "珠江路"},
{"parent_id": "D564", "children": [], "type": "A", "id": "A857", "name": "彩云城"},
{"parent_id": "D564", "children": [], "type": "A", "id": "A1873", "name": "长江路"}], "type": "D", "id": "D564", "name": "开发区"},
{"parent_id": "C192", "children": [], "type": "D", "id": "D569", "name": "牟平区"},
{"parent_id": "C192", "children": [], "type": "D", "id": "D568", "name": "龙口市"},
{"parent_id": "C192", "children": [
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{"parent_id": "D565", "children": [], "type": "A", "id": "A2926", "name": "迎春大街"},
{"parent_id": "D565", "children": [], "type": "A", "id": "A858", "name": "滨海路"},
{"parent_id": "D565", "children": [], "type": "A", "id": "A1874", "name": "佳世客"}], "type": "D", "id": "D565", "name": "莱山区"},
{"parent_id": "C192", "children": [], "type": "D", "id": "D570", "name": "蓬莱市"},
{"parent_id": "C192", "children": [], "type": "D", "id": "D571", "name": "栖霞市"},
{"parent_id": "C192", "children": [
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{"parent_id": "D574", "children": [], "type": "A", "id": "A98", "name": "青年路"},
{"parent_id": "D574", "children": [], "type": "A", "id": "A3647", "name": "环山路"},
{"parent_id": "D574", "children": [], "type": "A", "id": "A4196", "name": "南大街"},
{"parent_id": "D574", "children": [], "type": "A", "id": "A2475", "name": "东方巴黎"},
{"parent_id": "D574", "children": [], "type": "A", "id": "A3939", "name": "鲁东大学"},
{"parent_id": "D574", "children": [], "type": "A", "id": "A1181", "name": "幸福"},
{"parent_id": "D574", "children": [], "type": "A", "id": "A520", "name": "世茂广场"},
{"parent_id": "D574", "children": [], "type": "A", "id": "A2927", "name": "大海阳路"},
{"parent_id": "D574", "children": [], "type": "A", "id": "A3318", "name": "二马路"},
{"parent_id": "D574", "children": [], "type": "A", "id": "A747", "name": "三站"},
{"parent_id": "D574", "children": [], "type": "A", "id": "A859", "name": "北马路"},
{"parent_id": "D574", "children": [], "type": "A", "id": "A1356", "name": "振华商厦"},
{"parent_id": "D574", "children": [], "type": "A", "id": "A304", "name": "上夼美食街"},
{"parent_id": "D574", "children": [], "type": "A", "id": "A1283", "name": "阳光100"},
{"parent_id": "D574", "children": [], "type": "A", "id": "A992", "name": "文化宫"},
{"parent_id": "D574", "children": [], "type": "A", "id": "A1875", "name": "百盛"}], "type": "D", "id": "D574", "name": "芝罘区"},
{"parent_id": "C192", "children": [], "type": "D", "id": "D572", "name": "长岛县"}], "type": "C", "id": "C192", "name": "烟台"},
{"parent_id": "P7", "children": [], "type": "C", "id": "C198", "name": "莱芜"},
{"parent_id": "P7", "children": [
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{"parent_id": "C187", "children": [
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{"parent_id": "D527", "children": [], "type": "A", "id": "A1860", "name": "缤纷五洲"},
{"parent_id": "D527", "children": [], "type": "A", "id": "A2462", "name": "火车站/堤口路"},
{"parent_id": "D527", "children": [], "type": "A", "id": "A2914", "name": "泺口"},
{"parent_id": "D527", "children": [], "type": "A", "id": "A3308", "name": "无影山"}], "type": "D", "id": "D527", "name": "天桥区"},
{"parent_id": "C187", "children": [
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{"parent_id": "D526", "children": [], "type": "A", "id": "A516", "name": "中华小吃城"},
{"parent_id": "D526", "children": [], "type": "A", "id": "A4403", "name": "伟东新都"},
{"parent_id": "D526", "children": [], "type": "A", "id": "A841", "name": "八一银座"},
{"parent_id": "D526", "children": [], "type": "A", "id": "A4187", "name": "体育中心"},
{"parent_id": "D526", "children": [], "type": "A", "id": "A3638", "name": "万达广场"},
{"parent_id": "D526", "children": [], "type": "A", "id": "A2461", "name": "大众广场"},
{"parent_id": "D526", "children": [], "type": "A", "id": "A298", "name": "中海环宇城"},
{"parent_id": "D526", "children": [], "type": "A", "id": "A2913", "name": "杆石桥"},
{"parent_id": "D526", "children": [], "type": "A", "id": "A3930", "name": "青龙小区"},
{"parent_id": "D526", "children": [], "type": "A", "id": "A3307", "name": "济大/会展中心"},
{"parent_id": "D526", "children": [], "type": "A", "id": "A1859", "name": "大观园"}], "type": "D", "id": "D526", "name": "市中区"},
{"parent_id": "C187", "children": [
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{"parent_id": "D525", "children": [], "type": "A", "id": "A515", "name": "文化东/西路"},
{"parent_id": "D525", "children": [], "type": "A", "id": "A4402", "name": "千佛山公园"},
{"parent_id": "D525", "children": [], "type": "A", "id": "A840", "name": "奥体中心"},
{"parent_id": "D525", "children": [], "type": "A", "id": "A3306", "name": "恒隆广场"},
{"parent_id": "D525", "children": [], "type": "A", "id": "A989", "name": "玉函银座"},
{"parent_id": "D525", "children": [], "type": "A", "id": "A4186", "name": "泉城广场"},
{"parent_id": "D525", "children": [], "type": "A", "id": "A3637", "name": "解放路"},
{"parent_id": "D525", "children": [], "type": "A", "id": "A1178", "name": "银座新天地"},
{"parent_id": "D525", "children": [], "type": "A", "id": "A2460", "name": "芙蓉街"},
{"parent_id": "D525", "children": [], "type": "A", "id": "A743", "name": "燕山地区"},
{"parent_id": "D525", "children": [], "type": "A", "id": "A3929", "name": "泺源大街"},
{"parent_id": "D525", "children": [], "type": "A", "id": "A297", "name": "山师东路"},
{"parent_id": "D525", "children": [], "type": "A", "id": "A1280", "name": "朝山街"},
{"parent_id": "D525", "children": [], "type": "A", "id": "A2912", "name": "佛山街"},
{"parent_id": "D525", "children": [], "type": "A", "id": "A1858", "name": "大明湖"}], "type": "D", "id": "D525", "name": "历下区"},
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{"parent_id": "D523", "children": [], "type": "A", "id": "A838", "name": "济阳县"},
{"parent_id": "D523", "children": [], "type": "A", "id": "A1856", "name": "平阴县"}], "type": "D", "id": "D523", "name": "近郊"},
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{"parent_id": "C187", "children": [
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{"parent_id": "D524", "children": [], "type": "A", "id": "A839", "name": "二环东路"},
{"parent_id": "D524", "children": [], "type": "A", "id": "A2911", "name": "华龙路沿线"},
{"parent_id": "D524", "children": [], "type": "A", "id": "A1857", "name": "工业南路"}], "type": "D", "id": "D524", "name": "历城区"}], "type": "C", "id": "C187", "name": "济南"},
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{"parent_id": "D538", "children": [], "type": "A", "id": "A4192", "name": "新业广场"},
{"parent_id": "D538", "children": [], "type": "A", "id": "A3935", "name": "万达CBD"},
{"parent_id": "D538", "children": [], "type": "A", "id": "A3313", "name": "市北家乐福"},
{"parent_id": "D538", "children": [], "type": "A", "id": "A848", "name": "大港/小港"},
{"parent_id": "D538", "children": [], "type": "A", "id": "A1866", "name": "科技街"},
{"parent_id": "D538", "children": [], "type": "A", "id": "A2467", "name": "浮山后"},
{"parent_id": "D538", "children": [], "type": "A", "id": "A2919", "name": "南京路北段"}], "type": "D", "id": "D538", "name": "市北区"},
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{"parent_id": "D540", "children": [], "type": "A", "id": "A3315", "name": "小村庄"},
{"parent_id": "D540", "children": [], "type": "A", "id": "A1868", "name": "海琴广场"},
{"parent_id": "D540", "children": [], "type": "A", "id": "A2469", "name": "青岛理工大学"},
{"parent_id": "D540", "children": [], "type": "A", "id": "A850", "name": "海云庵"}], "type": "D", "id": "D540", "name": "四方区"},
{"parent_id": "C188", "children": [
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{"parent_id": "D539", "children": [], "type": "A", "id": "A3644", "name": "海景花园大酒店"},
{"parent_id": "D539", "children": [], "type": "A", "id": "A4193", "name": "闽江路"},
{"parent_id": "D539", "children": [], "type": "A", "id": "A518", "name": "云霄路"},
{"parent_id": "D539", "children": [], "type": "A", "id": "A4407", "name": "世贸中心"},
{"parent_id": "D539", "children": [], "type": "A", "id": "A3936", "name": "麦凯乐"},
{"parent_id": "D539", "children": [], "type": "A", "id": "A849", "name": "百丽广场"},
{"parent_id": "D539", "children": [], "type": "A", "id": "A2920", "name": "火车站/团岛"},
{"parent_id": "D539", "children": [], "type": "A", "id": "A3314", "name": "汇泉湾"},
{"parent_id": "D539", "children": [], "type": "A", "id": "A1867", "name": "大润发"},
{"parent_id": "D539", "children": [], "type": "A", "id": "A1179", "name": "湛山/太平角"},
{"parent_id": "D539", "children": [], "type": "A", "id": "A1354", "name": "镇宁桥"},
{"parent_id": "D539", "children": [], "type": "A", "id": "A2468", "name": "浮山所"},
{"parent_id": "D539", "children": [], "type": "A", "id": "A745", "name": "远洋广场"},
{"parent_id": "D539", "children": [], "type": "A", "id": "A302", "name": "心海广场"},
{"parent_id": "D539", "children": [], "type": "A", "id": "A1281", "name": "中联广场"},
{"parent_id": "D539", "children": [], "type": "A", "id": "A990", "name": "银海大世界"}], "type": "D", "id": "D539", "name": "市南区"},
{"parent_id": "C188", "children": [
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{"parent_id": "D536", "children": [], "type": "A", "id": "A3642", "name": "李村"},
{"parent_id": "D536", "children": [], "type": "A", "id": "A4191", "name": "山东外贸学院"},
{"parent_id": "D536", "children": [], "type": "A", "id": "A4406", "name": "书院路"},
{"parent_id": "D536", "children": [], "type": "A", "id": "A3934", "name": "李村公园"},
{"parent_id": "D536", "children": [], "type": "A", "id": "A3312", "name": "李沧宝龙"},
{"parent_id": "D536", "children": [], "type": "A", "id": "A847", "name": "沧口"},
{"parent_id": "D536", "children": [], "type": "A", "id": "A1865", "name": "东李鞋城"},
{"parent_id": "D536", "children": [], "type": "A", "id": "A2466", "name": "金水路"},
{"parent_id": "D536", "children": [], "type": "A", "id": "A301", "name": "万年泉路"},
{"parent_id": "D536", "children": [], "type": "A", "id": "A2918", "name": "君峰路沿线"}], "type": "D", "id": "D536", "name": "李沧区"},
{"parent_id": "C188", "children": [], "type": "D", "id": "D537", "name": "平度市"},
{"parent_id": "C188", "children": [
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{"parent_id": "D529", "children": [], "type": "A", "id": "A3931", "name": "农业大学"},
{"parent_id": "D529", "children": [], "type": "A", "id": "A843", "name": "宝龙城市广场"},
{"parent_id": "D529", "children": [], "type": "A", "id": "A3309", "name": "华城路"},
{"parent_id": "D529", "children": [], "type": "A", "id": "A4404", "name": "世纪公园"},
{"parent_id": "D529", "children": [], "type": "A", "id": "A1861", "name": "春阳路"},
{"parent_id": "D529", "children": [], "type": "A", "id": "A3639", "name": "流亭机场/重庆北路"},
{"parent_id": "D529", "children": [], "type": "A", "id": "A4188", "name": "青特上豪/家佳源"},
{"parent_id": "D529", "children": [], "type": "A", "id": "A2463", "name": "东方城"},
{"parent_id": "D529", "children": [], "type": "A", "id": "A299", "name": "中城路"},
{"parent_id": "D529", "children": [], "type": "A", "id": "A2915", "name": "国货"}], "type": "D", "id": "D529", "name": "城阳区"},
{"parent_id": "C188", "children": [], "type": "D", "id": "D534", "name": "莱西市"},
{"parent_id": "C188", "children": [
{"parent_id": "D535", "children": [], "type": "A", "id": "A3641", "name": "麦岛"},
{"parent_id": "D535", "children": [], "type": "A", "id": "A4190", "name": "香港东路沿线"},
{"parent_id": "D535", "children": [], "type": "A", "id": "A3933", "name": "青岛大学"},
{"parent_id": "D535", "children": [], "type": "A", "id": "A846", "name": "大拇指广场"},
{"parent_id": "D535", "children": [], "type": "A", "id": "A3311", "name": "崂山风景区"},
{"parent_id": "D535", "children": [], "type": "A", "id": "A1864", "name": "石老人海水浴场"},
{"parent_id": "D535", "children": [], "type": "A", "id": "A2465", "name": "极地海洋世界"},
{"parent_id": "D535", "children": [], "type": "A", "id": "A2917", "name": "丽达购物广场"}], "type": "D", "id": "D535", "name": "崂山区"},
{"parent_id": "C188", "children": [], "type": "D", "id": "D530", "name": "胶南市"},
{"parent_id": "C188", "children": [], "type": "D", "id": "D531", "name": "胶州市"},
{"parent_id": "C188", "children": [
{"parent_id": "D532", "children": [], "type": "A", "id": "A844", "name": "宝龙城市广场"},
{"parent_id": "D532", "children": [], "type": "A", "id": "A1862", "name": "新利群商场"}], "type": "D", "id": "D532", "name": "即墨市"},
{"parent_id": "C188", "children": [
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{"parent_id": "D533", "children": [], "type": "A", "id": "A3640", "name": "金沙滩风景区"},
{"parent_id": "D533", "children": [], "type": "A", "id": "A517", "name": "香江路"},
{"parent_id": "D533", "children": [], "type": "A", "id": "A3932", "name": "科技大学"},
{"parent_id": "D533", "children": [], "type": "A", "id": "A845", "name": "保税区"},
{"parent_id": "D533", "children": [], "type": "A", "id": "A4405", "name": "马濠公园"},
{"parent_id": "D533", "children": [], "type": "A", "id": "A3310", "name": "家佳源佳世客"},
{"parent_id": "D533", "children": [], "type": "A", "id": "A1863", "name": "长江路沿线"},
{"parent_id": "D533", "children": [], "type": "A", "id": "A4189", "name": "老黄岛"},
{"parent_id": "D533", "children": [], "type": "A", "id": "A2464", "name": "丁家河"},
{"parent_id": "D533", "children": [], "type": "A", "id": "A744", "name": "紫金山路"},
{"parent_id": "D533", "children": [], "type": "A", "id": "A300", "name": "上流汇"},
{"parent_id": "D533", "children": [], "type": "A", "id": "A2916", "name": "官厅"}], "type": "D", "id": "D533", "name": "黄岛区"}], "type": "C", "id": "C188", "name": "青岛"},
{"parent_id": "P7", "children": [
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{"parent_id": "C189", "children": [], "type": "D", "id": "D544", "name": "临淄区"},
{"parent_id": "C189", "children": [], "type": "D", "id": "D547", "name": "周村区"},
{"parent_id": "C189", "children": [
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{"parent_id": "D546", "children": [], "type": "A", "id": "A97", "name": "植物园"},
{"parent_id": "D546", "children": [], "type": "A", "id": "A3645", "name": "凯德广场"},
{"parent_id": "D546", "children": [], "type": "A", "id": "A4194", "name": "尚美第三城"},
{"parent_id": "D546", "children": [], "type": "A", "id": "A2470", "name": "联通路"},
{"parent_id": "D546", "children": [], "type": "A", "id": "A519", "name": "步行街"},
{"parent_id": "D546", "children": [], "type": "A", "id": "A3937", "name": "佳世客"},
{"parent_id": "D546", "children": [], "type": "A", "id": "A1180", "name": "明清街"},
{"parent_id": "D546", "children": [], "type": "A", "id": "A2922", "name": "潘南路"},
{"parent_id": "D546", "children": [], "type": "A", "id": "A3316", "name": "世纪路"},
{"parent_id": "D546", "children": [], "type": "A", "id": "A1869", "name": "茂业天地"},
{"parent_id": "D546", "children": [], "type": "A", "id": "A1355", "name": "彩世界"},
{"parent_id": "D546", "children": [], "type": "A", "id": "A746", "name": "美食街"},
{"parent_id": "D546", "children": [], "type": "A", "id": "A851", "name": "义乌小商品城"},
{"parent_id": "D546", "children": [], "type": "A", "id": "A303", "name": "火车站"},
{"parent_id": "D546", "children": [], "type": "A", "id": "A1282", "name": "大润发"},
{"parent_id": "D546", "children": [], "type": "A", "id": "A991", "name": "王府井"}], "type": "D", "id": "D546", "name": "张店区"},
{"parent_id": "C189", "children": [], "type": "D", "id": "D541", "name": "博山区"},
{"parent_id": "C189", "children": [], "type": "D", "id": "D543", "name": "桓台县"},
{"parent_id": "C189", "children": [], "type": "D", "id": "D542", "name": "高青县"},
{"parent_id": "C189", "children": [], "type": "D", "id": "D549", "name": "邹平县"},
{"parent_id": "C189", "children": [], "type": "D", "id": "D548", "name": "淄川区"}], "type": "C", "id": "C189", "name": "淄博"},
{"parent_id": "P7", "children": [], "type": "C", "id": "C207", "name": "寿光"},
{"parent_id": "P7", "children": [], "type": "C", "id": "C206", "name": "龙口"},
{"parent_id": "P7", "children": [], "type": "C", "id": "C205", "name": "章丘"},
{"parent_id": "P7", "children": [], "type": "C", "id": "C204", "name": "兖州"},
{"parent_id": "P7", "children": [], "type": "C", "id": "C203", "name": "菏泽"},
{"parent_id": "P7", "children": [], "type": "C", "id": "C202", "name": "滨州"},
{"parent_id": "P7", "children": [
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{"parent_id": "C201", "children": [], "type": "D", "id": "D631", "name": "莘县"},
{"parent_id": "C201", "children": [], "type": "D", "id": "D630", "name": "临清市"},
{"parent_id": "C201", "children": [], "type": "D", "id": "D624", "name": "茌平县"},
{"parent_id": "C201", "children": [
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{"parent_id": "D625", "children": [], "type": "A", "id": "A4417", "name": "阿尔卡迪亚"},
{"parent_id": "D625", "children": [], "type": "A", "id": "A4204", "name": "振兴西路"},
{"parent_id": "D625", "children": [], "type": "A", "id": "A755", "name": "昌润路"},
{"parent_id": "D625", "children": [], "type": "A", "id": "A1187", "name": "香江"},
{"parent_id": "D625", "children": [], "type": "A", "id": "A2941", "name": "综合楼"},
{"parent_id": "D625", "children": [], "type": "A", "id": "A312", "name": "专医院"},
{"parent_id": "D625", "children": [], "type": "A", "id": "A3330", "name": "兴华西路"},
{"parent_id": "D625", "children": [], "type": "A", "id": "A1420", "name": "中级法院"},
{"parent_id": "D625", "children": [], "type": "A", "id": "A528", "name": "五星广场"},
{"parent_id": "D625", "children": [], "type": "A", "id": "A3659", "name": "东昌湖"},
{"parent_id": "D625", "children": [], "type": "A", "id": "A1890", "name": "聊大"},
{"parent_id": "D625", "children": [], "type": "A", "id": "A879", "name": "市中心"},
{"parent_id": "D625", "children": [], "type": "A", "id": "A3949", "name": "古楼"},
{"parent_id": "D625", "children": [], "type": "A", "id": "A1288", "name": "闸口"},
{"parent_id": "D625", "children": [], "type": "A", "id": "A2489", "name": "花园南路"},
{"parent_id": "D625", "children": [], "type": "A", "id": "A999", "name": "凤凰台"},
{"parent_id": "D625", "children": [], "type": "A", "id": "A106", "name": "汽车总站"}], "type": "D", "id": "D625", "name": "东昌府区"},
{"parent_id": "C201", "children": [], "type": "D", "id": "D626", "name": "东阿县"},
{"parent_id": "C201", "children": [], "type": "D", "id": "D627", "name": "高唐县"},
{"parent_id": "C201", "children": [], "type": "D", "id": "D628", "name": "冠县"},
{"parent_id": "C201", "children": [
{"parent_id": "D629", "children": [], "type": "A", "id": "A2490", "name": "聊大花园"},
{"parent_id": "D629", "children": [], "type": "A", "id": "A880", "name": "大转盘"},
{"parent_id": "D629", "children": [], "type": "A", "id": "A1891", "name": "御润财富城"}], "type": "D", "id": "D629", "name": "开发区"}], "type": "C", "id": "C201", "name": "聊城"},
{"parent_id": "P7", "children": [], "type": "C", "id": "C200", "name": "德州"},
{"parent_id": "P7", "children": [], "type": "C", "id": "C209", "name": "荣成"},
{"parent_id": "P7", "children": [], "type": "C", "id": "C208", "name": "青州"},
{"parent_id": "P7", "children": [
{"parent_id": "C191", "children": [], "type": "D", "id": "D560", "name": "利津县"},
{"parent_id": "C191", "children": [
{"parent_id": "D556", "children": [], "type": "A", "id": "A855", "name": "东城"},
{"parent_id": "D556", "children": [], "type": "A", "id": "A1872", "name": "西城"}], "type": "D", "id": "D556", "name": "东营区"},
{"parent_id": "C191", "children": [], "type": "D", "id": "D557", "name": "广饶县"},
{"parent_id": "C191", "children": [], "type": "D", "id": "D558", "name": "河口区"},
{"parent_id": "C191", "children": [], "type": "D", "id": "D559", "name": "垦利县"}], "type": "C", "id": "C191", "name": "东营"},
{"parent_id": "P7", "children": [
{"parent_id": "C190", "children": [
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{"parent_id": "C190", "children": [], "type": "D", "id": "D555", "name": "峄城区"},
{"parent_id": "C190", "children": [], "type": "D", "id": "D552", "name": "台儿庄区"},
{"parent_id": "C190", "children": [
{"parent_id": "D553", "children": [], "type": "A", "id": "A3646", "name": "善国路"},
{"parent_id": "D553", "children": [], "type": "A", "id": "A4195", "name": "塔寺北路/翠湖"},
{"parent_id": "D553", "children": [], "type": "A", "id": "A2472", "name": "大同路"},
{"parent_id": "D553", "children": [], "type": "A", "id": "A2924", "name": "步行街"},
{"parent_id": "D553", "children": [], "type": "A", "id": "A3317", "name": "火车站/问天广场"},
{"parent_id": "D553", "children": [], "type": "A", "id": "A853", "name": "新兴路"},
{"parent_id": "D553", "children": [], "type": "A", "id": "A3938", "name": "长途汽车站/伦达"},
{"parent_id": "D553", "children": [], "type": "A", "id": "A1871", "name": "龙泉广场美食城"}], "type": "D", "id": "D553", "name": "滕州市"},
{"parent_id": "C190", "children": [], "type": "D", "id": "D550", "name": "山亭区"},
{"parent_id": "C190", "children": [
{"parent_id": "D551", "children": [], "type": "A", "id": "A2471", "name": "三角花园/汽车总站"},
{"parent_id": "D551", "children": [], "type": "A", "id": "A2923", "name": "中天步行街"},
{"parent_id": "D551", "children": [], "type": "A", "id": "A852", "name": "振兴路"},
{"parent_id": "D551", "children": [], "type": "A", "id": "A1870", "name": "八大/吉品街"}], "type": "D", "id": "D551", "name": "市中区"}], "type": "C", "id": "C190", "name": "枣庄"},
{"parent_id": "P7", "children": [
{"parent_id": "C199", "children": [], "type": "D", "id": "D613", "name": "费县"},
{"parent_id": "C199", "children": [], "type": "D", "id": "D612", "name": "苍山县"},
{"parent_id": "C199", "children": [], "type": "D", "id": "D615", "name": "莒南县"},
{"parent_id": "C199", "children": [
{"parent_id": "D614", "children": [], "type": "A", "id": "A1888", "name": "九州购物中心"},
{"parent_id": "D614", "children": [], "type": "A", "id": "A876", "name": "五金城"}], "type": "D", "id": "D614", "name": "河东区"},
{"parent_id": "C199", "children": [], "type": "D", "id": "D617", "name": "临沭县"},
{"parent_id": "C199", "children": [
{"parent_id": "D616", "children": [], "type": "A", "id": "A4416", "name": "沂州路"},
{"parent_id": "D616", "children": [], "type": "A", "id": "A1360", "name": "通达路"},
{"parent_id": "D616", "children": [], "type": "A", "id": "A4203", "name": "涑河街"},
{"parent_id": "D616", "children": [], "type": "A", "id": "A1680", "name": "新汽车站"},
{"parent_id": "D616", "children": [], "type": "A", "id": "A1511", "name": "西街"},
{"parent_id": "D616", "children": [], "type": "A", "id": "A1186", "name": "滨河大道"},
{"parent_id": "D616", "children": [], "type": "A", "id": "A1889", "name": "北城新区"},
{"parent_id": "D616", "children": [], "type": "A", "id": "A527", "name": "和谐广场"},
{"parent_id": "D616", "children": [], "type": "A", "id": "A2940", "name": "东方不夜城"},
{"parent_id": "D616", "children": [], "type": "A", "id": "A311", "name": "银雀山路"},
{"parent_id": "D616", "children": [], "type": "A", "id": "A998", "name": "临西五路"},
{"parent_id": "D616", "children": [], "type": "A", "id": "A105", "name": "砚池街"},
{"parent_id": "D616", "children": [], "type": "A", "id": "A754", "name": "临西八路"},
{"parent_id": "D616", "children": [], "type": "A", "id": "A1580", "name": "大学城"},
{"parent_id": "D616", "children": [], "type": "A", "id": "A3658", "name": "人民广场"},
{"parent_id": "D616", "children": [], "type": "A", "id": "A877", "name": "沂蒙路"},
{"parent_id": "D616", "children": [], "type": "A", "id": "A3948", "name": "解放路"},
{"parent_id": "D616", "children": [], "type": "A", "id": "A1287", "name": "北园路"},
{"parent_id": "D616", "children": [], "type": "A", "id": "A2488", "name": "兰田步行街"},
{"parent_id": "D616", "children": [], "type": "A", "id": "A1476", "name": "育才路"},
{"parent_id": "D616", "children": [], "type": "A", "id": "A3329", "name": "火车站"},
{"parent_id": "D616", "children": [], "type": "A", "id": "A1419", "name": "金雀山路"}], "type": "D", "id": "D616", "name": "兰山区"},
{"parent_id": "C199", "children": [], "type": "D", "id": "D619", "name": "蒙阴县"},
{"parent_id": "C199", "children": [
{"parent_id": "D618", "children": [], "type": "A", "id": "A878", "name": "龙潭路"}], "type": "D", "id": "D618", "name": "罗庄区"},
{"parent_id": "C199", "children": [], "type": "D", "id": "D620", "name": "平邑县"},
{"parent_id": "C199", "children": [], "type": "D", "id": "D621", "name": "郯城县"},
{"parent_id": "C199", "children": [], "type": "D", "id": "D622", "name": "沂南县"},
{"parent_id": "C199", "children": [], "type": "D", "id": "D623", "name": "沂水县"}], "type": "C", "id": "C199", "name": "临沂"}], "type": "P", "id": "P7", "name": "山东"},
{"parent_id": "N1", "children": [
{"parent_id": "P23", "children": [], "type": "C", "id": "C13", "name": "衡水"},
{"parent_id": "P23", "children": [
{"parent_id": "C12", "children": [], "type": "D", "id": "D73", "name": "三河市"},
{"parent_id": "C12", "children": [], "type": "D", "id": "D71", "name": "固安县"},
{"parent_id": "C12", "children": [], "type": "D", "id": "D75", "name": "文安县"},
{"parent_id": "C12", "children": [
{"parent_id": "D72", "children": [], "type": "A", "id": "A250", "name": "大学城"}], "type": "D", "id": "D72", "name": "开发区"},
{"parent_id": "C12", "children": [
{"parent_id": "D70", "children": [], "type": "A", "id": "A249", "name": "万达"},
{"parent_id": "D70", "children": [], "type": "A", "id": "A2736", "name": "新源天街"},
{"parent_id": "D70", "children": [], "type": "A", "id": "A3502", "name": "万庄商圈"},
{"parent_id": "D70", "children": [], "type": "A", "id": "A2254", "name": "新朝阳"},
{"parent_id": "D70", "children": [], "type": "A", "id": "A1566", "name": "步行街"},
{"parent_id": "D70", "children": [], "type": "A", "id": "A3808", "name": "明珠美食城"},
{"parent_id": "D70", "children": [], "type": "A", "id": "A3151", "name": "阿尔卡迪亚"}], "type": "D", "id": "D70", "name": "广阳区"},
{"parent_id": "C12", "children": [], "type": "D", "id": "D76", "name": "香河县"},
{"parent_id": "C12", "children": [], "type": "D", "id": "D77", "name": "燕郊"},
{"parent_id": "C12", "children": [], "type": "D", "id": "D74", "name": "胜芳"},
{"parent_id": "C12", "children": [], "type": "D", "id": "D78", "name": "永清县"},
{"parent_id": "C12", "children": [], "type": "D", "id": "D69", "name": "大城县"},
{"parent_id": "C12", "children": [
{"parent_id": "D68", "children": [], "type": "A", "id": "A248", "name": "西小区"},
{"parent_id": "D68", "children": [], "type": "A", "id": "A1565", "name": "永华明珠"}], "type": "D", "id": "D68", "name": "安次区"},
{"parent_id": "C12", "children": [
{"parent_id": "D67", "children": [], "type": "A", "id": "A2735", "name": "茗汤温泉渡假村"},
{"parent_id": "D67", "children": [], "type": "A", "id": "A2253", "name": "霸州步行街"},
{"parent_id": "D67", "children": [], "type": "A", "id": "A247", "name": "李少春大剧院"},
{"parent_id": "D67", "children": [], "type": "A", "id": "A1564", "name": "霸州市政府"}], "type": "D", "id": "D67", "name": "霸州市"}], "type": "C", "id": "C12", "name": "廊坊"},
{"parent_id": "P23", "children": [], "type": "C", "id": "C11", "name": "沧州"},
{"parent_id": "P23", "children": [], "type": "C", "id": "C10", "name": "承德"},
{"parent_id": "P23", "children": [], "type": "C", "id": "C15", "name": "迁安"},
{"parent_id": "P23", "children": [], "type": "C", "id": "C14", "name": "武安"},
{"parent_id": "P23", "children": [
{"parent_id": "C430", "children": [
{"parent_id": "D234", "children": [], "type": "A", "id": "A2338", "name": "沙头角"},
{"parent_id": "D234", "children": [], "type": "A", "id": "A2803", "name": "盐田食街"},
{"parent_id": "D234", "children": [], "type": "A", "id": "A584", "name": "大小梅沙"},
{"parent_id": "D234", "children": [], "type": "A", "id": "A1699", "name": "东部华侨城"}], "type": "D", "id": "D234", "name": "盐田区"},
{"parent_id": "C430", "children": [
{"parent_id": "D233", "children": [], "type": "A", "id": "A2337", "name": "香港岛"},
{"parent_id": "D233", "children": [], "type": "A", "id": "A2802", "name": "新界"},
{"parent_id": "D233", "children": [], "type": "A", "id": "A583", "name": "九龙"},
{"parent_id": "D233", "children": [], "type": "A", "id": "A1698", "name": "离岛"}], "type": "D", "id": "D233", "name": "香港"},
{"parent_id": "C430", "children": [
{"parent_id": "D232", "children": [], "type": "A", "id": "A3852", "name": "南山中心区"},
{"parent_id": "D232", "children": [], "type": "A", "id": "A246", "name": "蛇口"},
{"parent_id": "D232", "children": [], "type": "A", "id": "A2336", "name": "华侨城"},
{"parent_id": "D232", "children": [], "type": "A", "id": "A4117", "name": "南头"},
{"parent_id": "D232", "children": [], "type": "A", "id": "A2801", "name": "花园城"},
{"parent_id": "D232", "children": [], "type": "A", "id": "A582", "name": "白石洲"},
{"parent_id": "D232", "children": [], "type": "A", "id": "A473", "name": "太古城"},
{"parent_id": "D232", "children": [], "type": "A", "id": "A3206", "name": "欢乐海岸"},
{"parent_id": "D232", "children": [], "type": "A", "id": "A1697", "name": "海岸城/保利"},
{"parent_id": "D232", "children": [], "type": "A", "id": "A704", "name": "西丽"},
{"parent_id": "D232", "children": [], "type": "A", "id": "A3550", "name": "科技园"},
{"parent_id": "D232", "children": [], "type": "A", "id": "A39", "name": "前海"},
{"parent_id": "D232", "children": [], "type": "A", "id": "A4344", "name": "南油"}], "type": "D", "id": "D232", "name": "南山区"},
{"parent_id": "C430", "children": [
{"parent_id": "D231", "children": [], "type": "A", "id": "A581", "name": "南澳"}], "type": "D", "id": "D231", "name": "南澳大鹏新区"},
{"parent_id": "C430", "children": [
{"parent_id": "D230", "children": [], "type": "A", "id": "A3851", "name": "国贸"},
{"parent_id": "D230", "children": [], "type": "A", "id": "A245", "name": "笋岗"},
{"parent_id": "D230", "children": [], "type": "A", "id": "A2335", "name": "春风万佳/文锦渡"},
{"parent_id": "D230", "children": [], "type": "A", "id": "A1155", "name": "新秀/罗芳"},
{"parent_id": "D230", "children": [], "type": "A", "id": "A4116", "name": "黄贝岭"},
{"parent_id": "D230", "children": [], "type": "A", "id": "A2800", "name": "翠竹路沿线"},
{"parent_id": "D230", "children": [], "type": "A", "id": "A3549", "name": "地王大厦/KKmall"},
{"parent_id": "D230", "children": [], "type": "A", "id": "A580", "name": "宝安南路沿线"},
{"parent_id": "D230", "children": [], "type": "A", "id": "A962", "name": "喜荟城/水库"},
{"parent_id": "D230", "children": [], "type": "A", "id": "A472", "name": "田贝/水贝"},
{"parent_id": "D230", "children": [], "type": "A", "id": "A1696", "name": "布心/太白路"},
{"parent_id": "D230", "children": [], "type": "A", "id": "A1262", "name": "银湖/泥岗"},
{"parent_id": "D230", "children": [], "type": "A", "id": "A38", "name": "莲塘"},
{"parent_id": "D230", "children": [], "type": "A", "id": "A3205", "name": "东门"},
{"parent_id": "D230", "children": [], "type": "A", "id": "A4343", "name": "火车站"},
{"parent_id": "D230", "children": [], "type": "A", "id": "A703", "name": "万象城"}], "type": "D", "id": "D230", "name": "罗湖区"},
{"parent_id": "C430", "children": [
{"parent_id": "D1064", "children": [], "type": "A", "id": "A1384", "name": "红旗大街"},
{"parent_id": "D1064", "children": [], "type": "A", "id": "A3468", "name": "南花园步行街"},
{"parent_id": "D1064", "children": [], "type": "A", "id": "A167", "name": "新石北路"},
{"parent_id": "D1064", "children": [], "type": "A", "id": "A573", "name": "西清公园"},
{"parent_id": "D1064", "children": [], "type": "A", "id": "A883", "name": "益友百货"},
{"parent_id": "D1064", "children": [], "type": "A", "id": "A4055", "name": "新百广场"},
{"parent_id": "D1064", "children": [], "type": "A", "id": "A3105", "name": "万象天成"},
{"parent_id": "D1064", "children": [], "type": "A", "id": "A2174", "name": "火车站"},
{"parent_id": "D1064", "children": [], "type": "A", "id": "A1112", "name": "中华大街槐安路"},
{"parent_id": "D1064", "children": [], "type": "A", "id": "A2683", "name": "海悦天地"},
{"parent_id": "D1064", "children": [], "type": "A", "id": "A4492", "name": "西里"},
{"parent_id": "D1064", "children": [], "type": "A", "id": "A3778", "name": "时光街"},
{"parent_id": "D1064", "children": [], "type": "A", "id": "A4293", "name": "新火车站"},
{"parent_id": "D1064", "children": [], "type": "A", "id": "A384", "name": "西三教"}], "type": "D", "id": "D1064", "name": "桥西区"},
{"parent_id": "C430", "children": [
{"parent_id": "D1065", "children": [], "type": "A", "id": "A1385", "name": "石家庄北站"},
{"parent_id": "D1065", "children": [], "type": "A", "id": "A3469", "name": "友谊公园"},
{"parent_id": "D1065", "children": [], "type": "A", "id": "A4056", "name": "赵佗公园"},
{"parent_id": "D1065", "children": [], "type": "A", "id": "A3106", "name": "水上公园"},
{"parent_id": "D1065", "children": [], "type": "A", "id": "A2175", "name": "省二院"},
{"parent_id": "D1065", "children": [], "type": "A", "id": "A2684", "name": "三元"},
{"parent_id": "D1065", "children": [], "type": "A", "id": "A3779", "name": "益元百货"}], "type": "D", "id": "D1065", "name": "新华区"},
{"parent_id": "C430", "children": [
{"parent_id": "D1066", "children": [], "type": "A", "id": "A1386", "name": "大马庄园"},
{"parent_id": "D1066", "children": [], "type": "A", "id": "A168", "name": "天山海世界"},
{"parent_id": "D1066", "children": [], "type": "A", "id": "A574", "name": "众美凤凰城"},
{"parent_id": "D1066", "children": [], "type": "A", "id": "A4057", "name": "空中花园"},
{"parent_id": "D1066", "children": [], "type": "A", "id": "A3780", "name": "红楼商圈"},
{"parent_id": "D1066", "children": [], "type": "A", "id": "A3107", "name": "怀特商城"},
{"parent_id": "D1066", "children": [], "type": "A", "id": "A2176", "name": "大石门"},
{"parent_id": "D1066", "children": [], "type": "A", "id": "A3470", "name": "华夏家园"},
{"parent_id": "D1066", "children": [], "type": "A", "id": "A2685", "name": "国际城"},
{"parent_id": "D1066", "children": [], "type": "A", "id": "A4493", "name": "世纪公园"},
{"parent_id": "D1066", "children": [], "type": "A", "id": "A4294", "name": "欧韵公园"},
{"parent_id": "D1066", "children": [], "type": "A", "id": "A385", "name": "万达广场"}], "type": "D", "id": "D1066", "name": "裕华区"},
{"parent_id": "C430", "children": [
{"parent_id": "D1067", "children": [], "type": "A", "id": "A1387", "name": "北国商城"},
{"parent_id": "D1067", "children": [], "type": "A", "id": "A4058", "name": "盛世长安"},
{"parent_id": "D1067", "children": [], "type": "A", "id": "A3781", "name": "省博物馆"},
{"parent_id": "D1067", "children": [], "type": "A", "id": "A3108", "name": "方北"},
{"parent_id": "D1067", "children": [], "type": "A", "id": "A2177", "name": "北国东尚"},
{"parent_id": "D1067", "children": [], "type": "A", "id": "A3471", "name": "建华百货"},
{"parent_id": "D1067", "children": [], "type": "A", "id": "A2686", "name": "白佛"},
{"parent_id": "D1067", "children": [], "type": "A", "id": "A4494", "name": "先天下"},
{"parent_id": "D1067", "children": [], "type": "A", "id": "A169", "name": "运河桥客运站"},
{"parent_id": "D1067", "children": [], "type": "A", "id": "A4295", "name": "谈固"}], "type": "D", "id": "D1067", "name": "长安区"},
{"parent_id": "C430", "children": [
{"parent_id": "D1061", "children": [], "type": "A", "id": "A1382", "name": "藁城市"},
{"parent_id": "D1061", "children": [], "type": "A", "id": "A3467", "name": "鹿泉市"},
{"parent_id": "D1061", "children": [], "type": "A", "id": "A3777", "name": "栾城县"},
{"parent_id": "D1061", "children": [], "type": "A", "id": "A166", "name": "无极县"},
{"parent_id": "D1061", "children": [], "type": "A", "id": "A1322", "name": "赵县"},
{"parent_id": "D1061", "children": [], "type": "A", "id": "A572", "name": "行唐县"},
{"parent_id": "D1061", "children": [], "type": "A", "id": "A882", "name": "新乐市"},
{"parent_id": "D1061", "children": [], "type": "A", "id": "A4054", "name": "灵寿县"},
{"parent_id": "D1061", "children": [], "type": "A", "id": "A3103", "name": "晋州市"},
{"parent_id": "D1061", "children": [], "type": "A", "id": "A2172", "name": "高邑县"},
{"parent_id": "D1061", "children": [], "type": "A", "id": "A1392", "name": "赞皇县"},
{"parent_id": "D1061", "children": [], "type": "A", "id": "A1111", "name": "元氏县"},
{"parent_id": "D1061", "children": [], "type": "A", "id": "A2681", "name": "井陉县"},
{"parent_id": "D1061", "children": [], "type": "A", "id": "A4491", "name": "深泽县"},
{"parent_id": "D1061", "children": [], "type": "A", "id": "A4292", "name": "平山县"},
{"parent_id": "D1061", "children": [], "type": "A", "id": "A383", "name": "辛集市"},
{"parent_id": "D1061", "children": [], "type": "A", "id": "A1220", "name": "正定县"}], "type": "D", "id": "D1061", "name": "近郊"},
{"parent_id": "C430", "children": [], "type": "D", "id": "D1062", "name": "开发区"},
{"parent_id": "C430", "children": [
{"parent_id": "D1063", "children": [], "type": "A", "id": "A1383", "name": "乐汇城"},
{"parent_id": "D1063", "children": [], "type": "A", "id": "A3104", "name": "桃园"},
{"parent_id": "D1063", "children": [], "type": "A", "id": "A2173", "name": "勒泰中心"},
{"parent_id": "D1063", "children": [], "type": "A", "id": "A2682", "name": "棉五"}], "type": "D", "id": "D1063", "name": "桥东区"},
{"parent_id": "C430", "children": [
{"parent_id": "D228", "children": [], "type": "A", "id": "A3850", "name": "平湖"},
{"parent_id": "D228", "children": [], "type": "A", "id": "A578", "name": "布吉"},
{"parent_id": "D228", "children": [], "type": "A", "id": "A2333", "name": "大运"},
{"parent_id": "D228", "children": [], "type": "A", "id": "A4115", "name": "坪地"},
{"parent_id": "D228", "children": [], "type": "A", "id": "A3547", "name": "坪山"},
{"parent_id": "D228", "children": [], "type": "A", "id": "A3203", "name": "龙岗中心区"},
{"parent_id": "D228", "children": [], "type": "A", "id": "A1694", "name": "坂田"},
{"parent_id": "D228", "children": [], "type": "A", "id": "A2798", "name": "横岗"},
{"parent_id": "D228", "children": [], "type": "A", "id": "A37", "name": "双龙/南联"},
{"parent_id": "D228", "children": [], "type": "A", "id": "A4342", "name": "求水山度假区"}], "type": "D", "id": "D228", "name": "龙岗区"},
{"parent_id": "C430", "children": [
{"parent_id": "D229", "children": [], "type": "A", "id": "A579", "name": "大浪"},
{"parent_id": "D229", "children": [], "type": "A", "id": "A2334", "name": "锦绣江南"},
{"parent_id": "D229", "children": [], "type": "A", "id": "A3548", "name": "梅林关"},
{"parent_id": "D229", "children": [], "type": "A", "id": "A3204", "name": "民治"},
{"parent_id": "D229", "children": [], "type": "A", "id": "A1695", "name": "观澜"},
{"parent_id": "D229", "children": [], "type": "A", "id": "A2799", "name": "龙华"}], "type": "D", "id": "D229", "name": "龙华新区"},
{"parent_id": "C430", "children": [
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{"parent_id": "D226", "children": [], "type": "A", "id": "A2331", "name": "公明"},
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{"parent_id": "D227", "children": [], "type": "A", "id": "A471", "name": "市民中心"},
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{"parent_id": "D227", "children": [], "type": "A", "id": "A3849", "name": "皇岗"},
{"parent_id": "D227", "children": [], "type": "A", "id": "A1693", "name": "CBD中心区"},
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{"parent_id": "D227", "children": [], "type": "A", "id": "A36", "name": "梅林"},
{"parent_id": "D227", "children": [], "type": "A", "id": "A3202", "name": "岗厦"},
{"parent_id": "D227", "children": [], "type": "A", "id": "A4341", "name": "景田"},
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{"parent_id": "P23", "children": [], "type": "C", "id": "C8", "name": "保定"},
{"parent_id": "P23", "children": [], "type": "C", "id": "C7", "name": "邢台"},
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{"parent_id": "C6", "children": [], "type": "D", "id": "D58", "name": "馆陶县"},
{"parent_id": "C6", "children": [
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{"parent_id": "C6", "children": [], "type": "D", "id": "D51", "name": "磁县"},
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{"parent_id": "D52", "children": [], "type": "A", "id": "A2731", "name": "鑫港国际"},
{"parent_id": "D52", "children": [], "type": "A", "id": "A592", "name": "新春美食林"},
{"parent_id": "D52", "children": [], "type": "A", "id": "A1559", "name": "滏春美食林"},
{"parent_id": "D52", "children": [], "type": "A", "id": "A4077", "name": "龙湖"},
{"parent_id": "D52", "children": [], "type": "A", "id": "A435", "name": "新丹兰商场"},
{"parent_id": "D52", "children": [], "type": "A", "id": "A4312", "name": "市委"},
{"parent_id": "D52", "children": [], "type": "A", "id": "A1440", "name": "中华北"},
{"parent_id": "D52", "children": [], "type": "A", "id": "A238", "name": "丛台公园"},
{"parent_id": "D52", "children": [], "type": "A", "id": "A3498", "name": "康德"},
{"parent_id": "D52", "children": [], "type": "A", "id": "A1396", "name": "樱花新天地"},
{"parent_id": "D52", "children": [], "type": "A", "id": "A1129", "name": "星城国际"},
{"parent_id": "D52", "children": [], "type": "A", "id": "A1333", "name": "亚太劳模广场"},
{"parent_id": "D52", "children": [], "type": "A", "id": "A3804", "name": "联纺"},
{"parent_id": "D52", "children": [], "type": "A", "id": "A1248", "name": "鑫岭电脑城"},
{"parent_id": "D52", "children": [], "type": "A", "id": "A2249", "name": "高开区"},
{"parent_id": "D52", "children": [], "type": "A", "id": "A12", "name": "万达广场"},
{"parent_id": "D52", "children": [], "type": "A", "id": "A3147", "name": "稽山新天地"},
{"parent_id": "D52", "children": [], "type": "A", "id": "A206", "name": "新世纪广场"}], "type": "D", "id": "D52", "name": "丛台区"},
{"parent_id": "C6", "children": [], "type": "D", "id": "D53", "name": "大名县"},
{"parent_id": "C6", "children": [], "type": "D", "id": "D54", "name": "肥乡县"},
{"parent_id": "C6", "children": [], "type": "D", "id": "D55", "name": "峰峰矿区"},
{"parent_id": "C6", "children": [
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{"parent_id": "D56", "children": [], "type": "A", "id": "A2250", "name": "复兴区政府"},
{"parent_id": "D56", "children": [], "type": "A", "id": "A239", "name": "百家村商圈"},
{"parent_id": "D56", "children": [], "type": "A", "id": "A3499", "name": "赵苑"},
{"parent_id": "D56", "children": [], "type": "A", "id": "A3148", "name": "樱花会馆"},
{"parent_id": "D56", "children": [], "type": "A", "id": "A1560", "name": "复兴商贸城"},
{"parent_id": "D56", "children": [], "type": "A", "id": "A3805", "name": "制氧机厂"}], "type": "D", "id": "D56", "name": "复兴区"},
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{"parent_id": "C6", "children": [
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{"parent_id": "D65", "children": [], "type": "A", "id": "A2252", "name": "富强街中段"},
{"parent_id": "D65", "children": [], "type": "A", "id": "A4078", "name": "武安新世纪广场"},
{"parent_id": "D65", "children": [], "type": "A", "id": "A3501", "name": "图书馆"},
{"parent_id": "D65", "children": [], "type": "A", "id": "A4313", "name": "武安广场"},
{"parent_id": "D65", "children": [], "type": "A", "id": "A3807", "name": "体育馆"},
{"parent_id": "D65", "children": [], "type": "A", "id": "A1563", "name": "百货大楼"},
{"parent_id": "D65", "children": [], "type": "A", "id": "A3150", "name": "市政府"},
{"parent_id": "D65", "children": [], "type": "A", "id": "A13", "name": "向阳路"},
{"parent_id": "D65", "children": [], "type": "A", "id": "A242", "name": "白鹤公园"},
{"parent_id": "D65", "children": [], "type": "A", "id": "A207", "name": "中兴路双马"}], "type": "D", "id": "D65", "name": "武安市"},
{"parent_id": "C6", "children": [], "type": "D", "id": "D64", "name": "魏县"},
{"parent_id": "C6", "children": [], "type": "D", "id": "D61", "name": "临漳县"},
{"parent_id": "C6", "children": [
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{"parent_id": "D60", "children": [], "type": "A", "id": "A3500", "name": "赵都新城"},
{"parent_id": "D60", "children": [], "type": "A", "id": "A241", "name": "春天百货商场"},
{"parent_id": "D60", "children": [], "type": "A", "id": "A3806", "name": "中华南"},
{"parent_id": "D60", "children": [], "type": "A", "id": "A3149", "name": "文化宫"},
{"parent_id": "D60", "children": [], "type": "A", "id": "A1562", "name": "罗城头"},
{"parent_id": "D60", "children": [], "type": "A", "id": "A2251", "name": "明珠广场"}], "type": "D", "id": "D60", "name": "邯山区"},
{"parent_id": "C6", "children": [], "type": "D", "id": "D63", "name": "涉县"},
{"parent_id": "C6", "children": [], "type": "D", "id": "D62", "name": "曲周县"}], "type": "C", "id": "C6", "name": "邯郸"},
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{"parent_id": "C5", "children": [], "type": "D", "id": "D43", "name": "抚宁县"},
{"parent_id": "C5", "children": [
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{"parent_id": "C5", "children": [], "type": "D", "id": "D47", "name": "南戴河"},
{"parent_id": "C5", "children": [
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{"parent_id": "D45", "children": [], "type": "A", "id": "A1558", "name": "东北大学"},
{"parent_id": "D45", "children": [], "type": "A", "id": "A234", "name": "孟营"},
{"parent_id": "D45", "children": [], "type": "A", "id": "A2248", "name": "燕山大学"},
{"parent_id": "D45", "children": [], "type": "A", "id": "A3146", "name": "长江中道"}], "type": "D", "id": "D45", "name": "开发区"},
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{"parent_id": "D44", "children": [], "type": "A", "id": "A2108", "name": "人民广场"},
{"parent_id": "D44", "children": [], "type": "A", "id": "A1649", "name": "建国路"},
{"parent_id": "D44", "children": [], "type": "A", "id": "A1910", "name": "迎宾路"},
{"parent_id": "D44", "children": [], "type": "A", "id": "A1128", "name": "红旗路"},
{"parent_id": "D44", "children": [], "type": "A", "id": "A1491", "name": "世纪星园小区"},
{"parent_id": "D44", "children": [], "type": "A", "id": "A1700", "name": "道南"},
{"parent_id": "D44", "children": [], "type": "A", "id": "A591", "name": "友谊路"},
{"parent_id": "D44", "children": [], "type": "A", "id": "A1557", "name": "东环路"},
{"parent_id": "D44", "children": [], "type": "A", "id": "A4076", "name": "东港路"},
{"parent_id": "D44", "children": [], "type": "A", "id": "A434", "name": "西港路"},
{"parent_id": "D44", "children": [], "type": "A", "id": "A2041", "name": "东山浴场"},
{"parent_id": "D44", "children": [], "type": "A", "id": "A4311", "name": "秦皇西大街"},
{"parent_id": "D44", "children": [], "type": "A", "id": "A2247", "name": "海阳路"},
{"parent_id": "D44", "children": [], "type": "A", "id": "A233", "name": "太阳城"},
{"parent_id": "D44", "children": [], "type": "A", "id": "A2178", "name": "秦皇小区"},
{"parent_id": "D44", "children": [], "type": "A", "id": "A3803", "name": "河北大街东段"},
{"parent_id": "D44", "children": [], "type": "A", "id": "A3497", "name": "河北大街西段"},
{"parent_id": "D44", "children": [], "type": "A", "id": "A1395", "name": "和平大街"},
{"parent_id": "D44", "children": [], "type": "A", "id": "A2151", "name": "秦皇东大街"},
{"parent_id": "D44", "children": [], "type": "A", "id": "A2729", "name": "新宝街"},
{"parent_id": "D44", "children": [], "type": "A", "id": "A1332", "name": "建设大街"},
{"parent_id": "D44", "children": [], "type": "A", "id": "A1548", "name": "文化路"},
{"parent_id": "D44", "children": [], "type": "A", "id": "A1247", "name": "金三角"},
{"parent_id": "D44", "children": [], "type": "A", "id": "A11", "name": "先锋路"},
{"parent_id": "D44", "children": [], "type": "A", "id": "A3145", "name": "河北大街中段"},
{"parent_id": "D44", "children": [], "type": "A", "id": "A1439", "name": "燕山大街"},
{"parent_id": "D44", "children": [], "type": "A", "id": "A205", "name": "金街"}], "type": "D", "id": "D44", "name": "海港区"}], "type": "C", "id": "C5", "name": "秦皇岛"},
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{"parent_id": "C4", "children": [], "type": "D", "id": "D39", "name": "玉田县"},
{"parent_id": "C4", "children": [
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{"parent_id": "D36", "children": [], "type": "A", "id": "A2246", "name": "黄台山"},
{"parent_id": "D36", "children": [], "type": "A", "id": "A2728", "name": "明珠街"},
{"parent_id": "D36", "children": [], "type": "A", "id": "A3144", "name": "燕山大路"},
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{"parent_id": "C4", "children": [], "type": "D", "id": "D37", "name": "迁西县"},
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{"parent_id": "D34", "children": [], "type": "A", "id": "A1554", "name": "凤城国际"},
{"parent_id": "D34", "children": [], "type": "A", "id": "A4074", "name": "火炬路"},
{"parent_id": "D34", "children": [], "type": "A", "id": "A2244", "name": "大里北路"},
{"parent_id": "D34", "children": [], "type": "A", "id": "A3495", "name": "兴源道"},
{"parent_id": "D34", "children": [], "type": "A", "id": "A909", "name": "八方"},
{"parent_id": "D34", "children": [], "type": "A", "id": "A1127", "name": "远洋城"},
{"parent_id": "D34", "children": [], "type": "A", "id": "A2726", "name": "友谊北路"},
{"parent_id": "D34", "children": [], "type": "A", "id": "A1246", "name": "中环广场"},
{"parent_id": "D34", "children": [], "type": "A", "id": "A4309", "name": "煤医道"},
{"parent_id": "D34", "children": [], "type": "A", "id": "A10", "name": "尚座"},
{"parent_id": "D34", "children": [], "type": "A", "id": "A3801", "name": "北新道"},
{"parent_id": "D34", "children": [], "type": "A", "id": "A3142", "name": "长宁道"},
{"parent_id": "D34", "children": [], "type": "A", "id": "A227", "name": "百货大楼"},
{"parent_id": "D34", "children": [], "type": "A", "id": "A433", "name": "龙泽路"},
{"parent_id": "D34", "children": [], "type": "A", "id": "A204", "name": "鹭港"}], "type": "D", "id": "D34", "name": "路北区"},
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{"parent_id": "D35", "children": [], "type": "A", "id": "A4075", "name": "荷花坑"},
{"parent_id": "D35", "children": [], "type": "A", "id": "A4310", "name": "宝升昌广场"},
{"parent_id": "D35", "children": [], "type": "A", "id": "A2245", "name": "银泰百货"},
{"parent_id": "D35", "children": [], "type": "A", "id": "A3802", "name": "新华道"},
{"parent_id": "D35", "children": [], "type": "A", "id": "A3496", "name": "福乐园"},
{"parent_id": "D35", "children": [], "type": "A", "id": "A2727", "name": "南湖公园"},
{"parent_id": "D35", "children": [], "type": "A", "id": "A3143", "name": "南湖美食广场"},
{"parent_id": "D35", "children": [], "type": "A", "id": "A228", "name": "万达"}], "type": "D", "id": "D35", "name": "路南区"},
{"parent_id": "C4", "children": [], "type": "D", "id": "D32", "name": "滦南县"},
{"parent_id": "C4", "children": [], "type": "D", "id": "D33", "name": "滦县"},
{"parent_id": "C4", "children": [], "type": "D", "id": "D30", "name": "开平区"},
{"parent_id": "C4", "children": [], "type": "D", "id": "D31", "name": "乐亭县"},
{"parent_id": "C4", "children": [], "type": "D", "id": "D40", "name": "遵化市"},
{"parent_id": "C4", "children": [], "type": "D", "id": "D29", "name": "古冶区"},
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{"parent_id": "D28", "children": [], "type": "A", "id": "A226", "name": "曹雪芹东道"}], "type": "D", "id": "D28", "name": "丰润区"},
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{"parent_id": "P29", "children": [
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{"parent_id": "C18", "children": [], "type": "D", "id": "D95", "name": "南郊区"},
{"parent_id": "C18", "children": [], "type": "D", "id": "D96", "name": "新荣区"},
{"parent_id": "C18", "children": [], "type": "D", "id": "D97", "name": "阳高县"},
{"parent_id": "C18", "children": [
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{"parent_id": "D93", "children": [], "type": "A", "id": "A4318", "name": "火车站"},
{"parent_id": "D93", "children": [], "type": "A", "id": "A2745", "name": "教场街"},
{"parent_id": "D93", "children": [], "type": "A", "id": "A211", "name": "华林新天地"},
{"parent_id": "D93", "children": [], "type": "A", "id": "A324", "name": "西门外"},
{"parent_id": "D93", "children": [], "type": "A", "id": "A4085", "name": "东关"},
{"parent_id": "D93", "children": [], "type": "A", "id": "A3510", "name": "仿古街"},
{"parent_id": "D93", "children": [], "type": "A", "id": "A2266", "name": "东信"},
{"parent_id": "D93", "children": [], "type": "A", "id": "A18", "name": "南关"},
{"parent_id": "D93", "children": [], "type": "A", "id": "A3159", "name": "大南街/小南街"},
{"parent_id": "D93", "children": [], "type": "A", "id": "A439", "name": "百盛/沃尔玛"},
{"parent_id": "D93", "children": [], "type": "A", "id": "A3816", "name": "大富翁"}], "type": "D", "id": "D93", "name": "城区"},
{"parent_id": "C18", "children": [], "type": "D", "id": "D98", "name": "左云县"}], "type": "C", "id": "C18", "name": "大同"},
{"parent_id": "P29", "children": [
{"parent_id": "C17", "children": [
{"parent_id": "D92", "children": [], "type": "A", "id": "A913", "name": "水西门街"},
{"parent_id": "D92", "children": [], "type": "A", "id": "A1591", "name": "大营盘"},
{"parent_id": "D92", "children": [], "type": "A", "id": "A3509", "name": "建设北路"},
{"parent_id": "D92", "children": [], "type": "A", "id": "A1493", "name": "新建路"},
{"parent_id": "D92", "children": [], "type": "A", "id": "A1701", "name": "钟楼街"},
{"parent_id": "D92", "children": [], "type": "A", "id": "A594", "name": "双塔东街"},
{"parent_id": "D92", "children": [], "type": "A", "id": "A1250", "name": "桃园路"},
{"parent_id": "D92", "children": [], "type": "A", "id": "A4317", "name": "南海街"},
{"parent_id": "D92", "children": [], "type": "A", "id": "A1442", "name": "五一广场"},
{"parent_id": "D92", "children": [], "type": "A", "id": "A2744", "name": "火车站"},
{"parent_id": "D92", "children": [], "type": "A", "id": "A210", "name": "双塔西街"},
{"parent_id": "D92", "children": [], "type": "A", "id": "A1398", "name": "五一路"},
{"parent_id": "D92", "children": [], "type": "A", "id": "A1131", "name": "铜锣湾"},
{"parent_id": "D92", "children": [], "type": "A", "id": "A1650", "name": "羊市街"},
{"parent_id": "D92", "children": [], "type": "A", "id": "A1335", "name": "体育馆"},
{"parent_id": "D92", "children": [], "type": "A", "id": "A1549", "name": "迎泽大街"},
{"parent_id": "D92", "children": [], "type": "A", "id": "A323", "name": "朝阳街"},
{"parent_id": "D92", "children": [], "type": "A", "id": "A4084", "name": "柳巷商业区"},
{"parent_id": "D92", "children": [], "type": "A", "id": "A2265", "name": "鼓楼街"},
{"parent_id": "D92", "children": [], "type": "A", "id": "A17", "name": "青年路"},
{"parent_id": "D92", "children": [], "type": "A", "id": "A3158", "name": "解放路"},
{"parent_id": "D92", "children": [], "type": "A", "id": "A438", "name": "水西关街"},
{"parent_id": "D92", "children": [], "type": "A", "id": "A3815", "name": "开化寺街"}], "type": "D", "id": "D92", "name": "迎泽区"},
{"parent_id": "C17", "children": [
{"parent_id": "D90", "children": [], "type": "A", "id": "A912", "name": "通达街"},
{"parent_id": "D90", "children": [], "type": "A", "id": "A1492", "name": "真武路"},
{"parent_id": "D90", "children": [], "type": "A", "id": "A593", "name": "太榆路"},
{"parent_id": "D90", "children": [], "type": "A", "id": "A437", "name": "体育路"},
{"parent_id": "D90", "children": [], "type": "A", "id": "A3507", "name": "南中环街"},
{"parent_id": "D90", "children": [], "type": "A", "id": "A4315", "name": "亲贤街"},
{"parent_id": "D90", "children": [], "type": "A", "id": "A1441", "name": "长治路"},
{"parent_id": "D90", "children": [], "type": "A", "id": "A2742", "name": "建设南路"},
{"parent_id": "D90", "children": [], "type": "A", "id": "A1397", "name": "长风街"},
{"parent_id": "D90", "children": [], "type": "A", "id": "A1589", "name": "昌盛西街"},
{"parent_id": "D90", "children": [], "type": "A", "id": "A1130", "name": "坞城路"},
{"parent_id": "D90", "children": [], "type": "A", "id": "A1334", "name": "学府街"},
{"parent_id": "D90", "children": [], "type": "A", "id": "A321", "name": "并州路"},
{"parent_id": "D90", "children": [], "type": "A", "id": "A4082", "name": "平阳路"},
{"parent_id": "D90", "children": [], "type": "A", "id": "A3156", "name": "康宁街"},
{"parent_id": "D90", "children": [], "type": "A", "id": "A1249", "name": "王村南街"},
{"parent_id": "D90", "children": [], "type": "A", "id": "A2263", "name": "高新科技产业区"},
{"parent_id": "D90", "children": [], "type": "A", "id": "A15", "name": "人民路"},
{"parent_id": "D90", "children": [], "type": "A", "id": "A3813", "name": "南内环街"},
{"parent_id": "D90", "children": [], "type": "A", "id": "A209", "name": "省体育中心"}], "type": "D", "id": "D90", "name": "小店区"},
{"parent_id": "C17", "children": [
{"parent_id": "D91", "children": [], "type": "A", "id": "A1590", "name": "北肖墙"},
{"parent_id": "D91", "children": [], "type": "A", "id": "A3508", "name": "府东街"},
{"parent_id": "D91", "children": [], "type": "A", "id": "A4316", "name": "胜利街"},
{"parent_id": "D91", "children": [], "type": "A", "id": "A2743", "name": "府西街"},
{"parent_id": "D91", "children": [], "type": "A", "id": "A322", "name": "北大街"},
{"parent_id": "D91", "children": [], "type": "A", "id": "A4083", "name": "龙潭商业中心"},
{"parent_id": "D91", "children": [], "type": "A", "id": "A3157", "name": "府东府西商业街"},
{"parent_id": "D91", "children": [], "type": "A", "id": "A2264", "name": "东辑虎营"},
{"parent_id": "D91", "children": [], "type": "A", "id": "A3814", "name": "旱西关"},
{"parent_id": "D91", "children": [], "type": "A", "id": "A16", "name": "西辑虎营"}], "type": "D", "id": "D91", "name": "杏花岭区"},
{"parent_id": "C17", "children": [
{"parent_id": "D89", "children": [], "type": "A", "id": "A3506", "name": "漪汾街"},
{"parent_id": "D89", "children": [], "type": "A", "id": "A2741", "name": "下元商业中心"},
{"parent_id": "D89", "children": [], "type": "A", "id": "A1588", "name": "晋祠路"},
{"parent_id": "D89", "children": [], "type": "A", "id": "A320", "name": "和平路"},
{"parent_id": "D89", "children": [], "type": "A", "id": "A3155", "name": "迎泽西大街"},
{"parent_id": "D89", "children": [], "type": "A", "id": "A2262", "name": "千峰路"},
{"parent_id": "D89", "children": [], "type": "A", "id": "A3812", "name": "长风西街"}], "type": "D", "id": "D89", "name": "万柏林区"},
{"parent_id": "C17", "children": [], "type": "D", "id": "D88", "name": "晋源区"},
{"parent_id": "C17", "children": [
{"parent_id": "D87", "children": [], "type": "A", "id": "A319", "name": "古交市"},
{"parent_id": "D87", "children": [], "type": "A", "id": "A1587", "name": "阳曲县"}], "type": "D", "id": "D87", "name": "近郊"},
{"parent_id": "C17", "children": [
{"parent_id": "D86", "children": [], "type": "A", "id": "A318", "name": "恒山路"},
{"parent_id": "D86", "children": [], "type": "A", "id": "A1586", "name": "兴华街"}], "type": "D", "id": "D86", "name": "尖草坪区"}], "type": "C", "id": "C17", "name": "太原"},
{"parent_id": "P29", "children": [], "type": "C", "id": "C22", "name": "朔州"},
{"parent_id": "P29", "children": [], "type": "C", "id": "C23", "name": "晋中"},
{"parent_id": "P29", "children": [], "type": "C", "id": "C20", "name": "长治"},
{"parent_id": "P29", "children": [], "type": "C", "id": "C21", "name": "晋城"},
{"parent_id": "P29", "children": [
{"parent_id": "C26", "children": [], "type": "D", "id": "D116", "name": "蒲县"},
{"parent_id": "C26", "children": [], "type": "D", "id": "D117", "name": "曲沃县"},
{"parent_id": "C26", "children": [
{"parent_id": "D114", "children": [], "type": "A", "id": "A330", "name": "霍州"}], "type": "D", "id": "D114", "name": "霍州市"},
{"parent_id": "C26", "children": [], "type": "D", "id": "D115", "name": "吉县"},
{"parent_id": "C26", "children": [
{"parent_id": "D113", "children": [], "type": "A", "id": "A1594", "name": "世纪广场"},
{"parent_id": "D113", "children": [], "type": "A", "id": "A329", "name": "新田广场"}], "type": "D", "id": "D113", "name": "侯马市"},
{"parent_id": "C26", "children": [], "type": "D", "id": "D118", "name": "襄汾县"},
{"parent_id": "C26", "children": [], "type": "D", "id": "D119", "name": "乡宁县"},
{"parent_id": "C26", "children": [], "type": "D", "id": "D112", "name": "洪洞县"},
{"parent_id": "C26", "children": [], "type": "D", "id": "D121", "name": "翼城县"},
{"parent_id": "C26", "children": [
{"parent_id": "D120", "children": [], "type": "A", "id": "A914", "name": "滨河路"},
{"parent_id": "D120", "children": [], "type": "A", "id": "A1595", "name": "煤化巷"},
{"parent_id": "D120", "children": [], "type": "A", "id": "A2109", "name": "临纺"},
{"parent_id": "D120", "children": [], "type": "A", "id": "A1911", "name": "平阳街"},
{"parent_id": "D120", "children": [], "type": "A", "id": "A2312", "name": "迎春街"},
{"parent_id": "D120", "children": [], "type": "A", "id": "A1494", "name": "平阳广场"},
{"parent_id": "D120", "children": [], "type": "A", "id": "A2339", "name": "建设路"},
{"parent_id": "D120", "children": [], "type": "A", "id": "A2189", "name": "北外环"},
{"parent_id": "D120", "children": [], "type": "A", "id": "A1702", "name": "向阳路"},
{"parent_id": "D120", "children": [], "type": "A", "id": "A595", "name": "三和家园"},
{"parent_id": "D120", "children": [], "type": "A", "id": "A1550", "name": "解放路"},
{"parent_id": "D120", "children": [], "type": "A", "id": "A2211", "name": "南外环"},
{"parent_id": "D120", "children": [], "type": "A", "id": "A331", "name": "鼓楼广场"},
{"parent_id": "D120", "children": [], "type": "A", "id": "A2042", "name": "新东城"},
{"parent_id": "D120", "children": [], "type": "A", "id": "A1251", "name": "锦悦城"},
{"parent_id": "D120", "children": [], "type": "A", "id": "A2242", "name": "鼓楼东大街"},
{"parent_id": "D120", "children": [], "type": "A", "id": "A1443", "name": "鼓楼西大街"},
{"parent_id": "D120", "children": [], "type": "A", "id": "A2508", "name": "贡院街"},
{"parent_id": "D120", "children": [], "type": "A", "id": "A1132", "name": "教授花园"},
{"parent_id": "D120", "children": [], "type": "A", "id": "A2747", "name": "华州路"},
{"parent_id": "D120", "children": [], "type": "A", "id": "A3161", "name": "尧贤街"},
{"parent_id": "D120", "children": [], "type": "A", "id": "A2179", "name": "鼓楼北"},
{"parent_id": "D120", "children": [], "type": "A", "id": "A212", "name": "河汾路"},
{"parent_id": "D120", "children": [], "type": "A", "id": "A2605", "name": "中大街"},
{"parent_id": "D120", "children": [], "type": "A", "id": "A1399", "name": "鼓楼南大街"},
{"parent_id": "D120", "children": [], "type": "A", "id": "A2152", "name": "屯里"},
{"parent_id": "D120", "children": [], "type": "A", "id": "A1651", "name": "五一路"},
{"parent_id": "D120", "children": [], "type": "A", "id": "A1336", "name": "尧庙"},
{"parent_id": "D120", "children": [], "type": "A", "id": "A440", "name": "车站路"},
{"parent_id": "D120", "children": [], "type": "A", "id": "A4087", "name": "财神楼"},
{"parent_id": "D120", "children": [], "type": "A", "id": "A3512", "name": "临钢"},
{"parent_id": "D120", "children": [], "type": "A", "id": "A4320", "name": "青狮街"},
{"parent_id": "D120", "children": [], "type": "A", "id": "A2268", "name": "福利巷"},
{"parent_id": "D120", "children": [], "type": "A", "id": "A19", "name": "体育街"},
{"parent_id": "D120", "children": [], "type": "A", "id": "A3818", "name": "洪家楼"}], "type": "D", "id": "D120", "name": "尧都区"}], "type": "C", "id": "C26", "name": "临汾"},
{"parent_id": "P29", "children": [], "type": "C", "id": "C27", "name": "吕梁"},
{"parent_id": "P29", "children": [
{"parent_id": "C24", "children": [], "type": "D", "id": "D110", "name": "垣曲县"},
{"parent_id": "C24", "children": [
{"parent_id": "D111", "children": [], "type": "A", "id": "A326", "name": "禹都市场"}], "type": "D", "id": "D111", "name": "禹都开发区"},
{"parent_id": "C24", "children": [], "type": "D", "id": "D99", "name": "河津市"},
{"parent_id": "C24", "children": [], "type": "D", "id": "D101", "name": "空港开发区"},
{"parent_id": "C24", "children": [], "type": "D", "id": "D100", "name": "绛县"},
{"parent_id": "C24", "children": [], "type": "D", "id": "D103", "name": "平陆县"},
{"parent_id": "C24", "children": [], "type": "D", "id": "D102", "name": "临猗县"},
{"parent_id": "C24", "children": [], "type": "D", "id": "D105", "name": "万荣县"},
{"parent_id": "C24", "children": [], "type": "D", "id": "D104", "name": "芮城县"},
{"parent_id": "C24", "children": [], "type": "D", "id": "D107", "name": "夏县"},
{"parent_id": "C24", "children": [], "type": "D", "id": "D106", "name": "闻喜县"},
{"parent_id": "C24", "children": [], "type": "D", "id": "D109", "name": "永济市"},
{"parent_id": "C24", "children": [
{"parent_id": "D108", "children": [], "type": "A", "id": "A1593", "name": "沃尔玛"},
{"parent_id": "D108", "children": [], "type": "A", "id": "A4319", "name": "西城"},
{"parent_id": "D108", "children": [], "type": "A", "id": "A2746", "name": "北郊"},
{"parent_id": "D108", "children": [], "type": "A", "id": "A3160", "name": "东星时代广场"},
{"parent_id": "D108", "children": [], "type": "A", "id": "A325", "name": "南风广场"},
{"parent_id": "D108", "children": [], "type": "A", "id": "A4086", "name": "解放路"},
{"parent_id": "D108", "children": [], "type": "A", "id": "A3511", "name": "体育馆"},
{"parent_id": "D108", "children": [], "type": "A", "id": "A2267", "name": "中银大道"},
{"parent_id": "D108", "children": [], "type": "A", "id": "A3817", "name": "禹香苑"}], "type": "D", "id": "D108", "name": "盐湖区"}], "type": "C", "id": "C24", "name": "运城"},
{"parent_id": "P29", "children": [], "type": "C", "id": "C25", "name": "忻州"}], "type": "P", "id": "P29", "name": "山西"},
{"parent_id": "N1", "children": [
{"parent_id": "P30", "children": [
{"parent_id": "C16", "children": [
{"parent_id": "D79", "children": [], "type": "A", "id": "A2738", "name": "旧城北门"},
{"parent_id": "D79", "children": [], "type": "A", "id": "A313", "name": "附院"},
{"parent_id": "D79", "children": [], "type": "A", "id": "A4079", "name": "中山西路"},
{"parent_id": "D79", "children": [], "type": "A", "id": "A3503", "name": "文化宫街"},
{"parent_id": "D79", "children": [], "type": "A", "id": "A2258", "name": "金蓝港"},
{"parent_id": "D79", "children": [], "type": "A", "id": "A1581", "name": "海亮"},
{"parent_id": "D79", "children": [], "type": "A", "id": "A3809", "name": "西龙王庙"},
{"parent_id": "D79", "children": [], "type": "A", "id": "A3152", "name": "牛街"}], "type": "D", "id": "D79", "name": "回民区"},
{"parent_id": "C16", "children": [
{"parent_id": "D85", "children": [], "type": "A", "id": "A317", "name": "大召"},
{"parent_id": "D85", "children": [], "type": "A", "id": "A1585", "name": "南茶坊"},
{"parent_id": "D85", "children": [], "type": "A", "id": "A2261", "name": "五塔寺"}], "type": "D", "id": "D85", "name": "玉泉区"},
{"parent_id": "C16", "children": [
{"parent_id": "D84", "children": [], "type": "A", "id": "A316", "name": "阿尔泰"},
{"parent_id": "D84", "children": [], "type": "A", "id": "A3505", "name": "内蒙古图书馆"},
{"parent_id": "D84", "children": [], "type": "A", "id": "A2740", "name": "火车站"},
{"parent_id": "D84", "children": [], "type": "A", "id": "A1584", "name": "八一"},
{"parent_id": "D84", "children": [], "type": "A", "id": "A4081", "name": "万达"},
{"parent_id": "D84", "children": [], "type": "A", "id": "A3154", "name": "呼和佳地"},
{"parent_id": "D84", "children": [], "type": "A", "id": "A2260", "name": "鼓楼"},
{"parent_id": "D84", "children": [], "type": "A", "id": "A3811", "name": "润宇"}], "type": "D", "id": "D84", "name": "新城区"},
{"parent_id": "C16", "children": [], "type": "D", "id": "D83", "name": "土默特左旗"},
{"parent_id": "C16", "children": [
{"parent_id": "D82", "children": [], "type": "A", "id": "A315", "name": "长乐宫"},
{"parent_id": "D82", "children": [], "type": "A", "id": "A436", "name": "仕奇公园"},
{"parent_id": "D82", "children": [], "type": "A", "id": "A3504", "name": "金隅时代城"},
{"parent_id": "D82", "children": [], "type": "A", "id": "A2259", "name": "金桥"},
{"parent_id": "D82", "children": [], "type": "A", "id": "A4314", "name": "桥华"},
{"parent_id": "D82", "children": [], "type": "A", "id": "A1583", "name": "发展小区"},
{"parent_id": "D82", "children": [], "type": "A", "id": "A2739", "name": "金宇文苑"},
{"parent_id": "D82", "children": [], "type": "A", "id": "A4080", "name": "内大"},
{"parent_id": "D82", "children": [], "type": "A", "id": "A3153", "name": "嘉茂"},
{"parent_id": "D82", "children": [], "type": "A", "id": "A14", "name": "乌兰察布东街"},
{"parent_id": "D82", "children": [], "type": "A", "id": "A3810", "name": "摩尔城"},
{"parent_id": "D82", "children": [], "type": "A", "id": "A208", "name": "师大"}], "type": "D", "id": "D82", "name": "赛罕区"},
{"parent_id": "C16", "children": [
{"parent_id": "D81", "children": [], "type": "A", "id": "A314", "name": "和林格尔县"},
{"parent_id": "D81", "children": [], "type": "A", "id": "A1582", "name": "托克托县"}], "type": "D", "id": "D81", "name": "近郊"},
{"parent_id": "C16", "children": [], "type": "D", "id": "D80", "name": "金川开发区"}], "type": "C", "id": "C16", "name": "呼和浩特"},
{"parent_id": "P30", "children": [], "type": "C", "id": "C38", "name": "阿拉善"},
{"parent_id": "P30", "children": [], "type": "C", "id": "C35", "name": "乌兰察布"},
{"parent_id": "P30", "children": [], "type": "C", "id": "C34", "name": "巴彦淖尔"},
{"parent_id": "P30", "children": [], "type": "C", "id": "C37", "name": "锡林郭勒"},
{"parent_id": "P30", "children": [], "type": "C", "id": "C36", "name": "兴安"},
{"parent_id": "P30", "children": [], "type": "C", "id": "C31", "name": "通辽"},
{"parent_id": "P30", "children": [], "type": "C", "id": "C30", "name": "赤峰"},
{"parent_id": "P30", "children": [], "type": "C", "id": "C33", "name": "呼伦贝尔"},
{"parent_id": "P30", "children": [], "type": "C", "id": "C32", "name": "鄂尔多斯"},
{"parent_id": "P30", "children": [
{"parent_id": "C28", "children": [], "type": "D", "id": "D129", "name": "土默特右旗"},
{"parent_id": "C28", "children": [
{"parent_id": "D128", "children": [], "type": "A", "id": "A1603", "name": "富强路美食街"},
{"parent_id": "D128", "children": [], "type": "A", "id": "A2272", "name": "劳动路"},
{"parent_id": "D128", "children": [], "type": "A", "id": "A359", "name": "大连开发区"},
{"parent_id": "D128", "children": [], "type": "A", "id": "A3164", "name": "青山华联"},
{"parent_id": "D128", "children": [], "type": "A", "id": "A3821", "name": "万达"},
{"parent_id": "D128", "children": [], "type": "A", "id": "A3515", "name": "青山保利"},
{"parent_id": "D128", "children": [], "type": "A", "id": "A2750", "name": "娜琳王府井"}], "type": "D", "id": "D128", "name": "青山区"},
{"parent_id": "C28", "children": [
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{"parent_id": "D123", "children": [], "type": "A", "id": "A2270", "name": "工业路"},
{"parent_id": "D123", "children": [], "type": "A", "id": "A357", "name": "包八中"},
{"parent_id": "D123", "children": [], "type": "A", "id": "A2748", "name": "红星"},
{"parent_id": "D123", "children": [], "type": "A", "id": "A3162", "name": "环城路"},
{"parent_id": "D123", "children": [], "type": "A", "id": "A4088", "name": "铁西"},
{"parent_id": "D123", "children": [], "type": "A", "id": "A3513", "name": "乔家金街"},
{"parent_id": "D123", "children": [], "type": "A", "id": "A3819", "name": "通顺商贸、环西"}], "type": "D", "id": "D123", "name": "东河区"},
{"parent_id": "C28", "children": [], "type": "D", "id": "D122", "name": "滨河新区"},
{"parent_id": "C28", "children": [
{"parent_id": "D127", "children": [], "type": "A", "id": "A1602", "name": "火车站"},
{"parent_id": "D127", "children": [], "type": "A", "id": "A2271", "name": "昆区华联"},
{"parent_id": "D127", "children": [], "type": "A", "id": "A358", "name": "包百"},
{"parent_id": "D127", "children": [], "type": "A", "id": "A2749", "name": "乐园"},
{"parent_id": "D127", "children": [], "type": "A", "id": "A3163", "name": "民族东路"},
{"parent_id": "D127", "children": [], "type": "A", "id": "A3820", "name": "市府东路"},
{"parent_id": "D127", "children": [], "type": "A", "id": "A4089", "name": "松石雅居"},
{"parent_id": "D127", "children": [], "type": "A", "id": "A3514", "name": "三八路"},
{"parent_id": "D127", "children": [], "type": "A", "id": "A4321", "name": "太阳城"}], "type": "D", "id": "D127", "name": "昆都仑区"},
{"parent_id": "C28", "children": [], "type": "D", "id": "D126", "name": "九原区"},
{"parent_id": "C28", "children": [], "type": "D", "id": "D125", "name": "固阳县"},
{"parent_id": "C28", "children": [], "type": "D", "id": "D124", "name": "高新区"}], "type": "C", "id": "C28", "name": "包头"},
{"parent_id": "P30", "children": [], "type": "C", "id": "C29", "name": "乌海"}], "type": "P", "id": "P30", "name": "内蒙古"},
{"parent_id": "N1", "children": [
{"parent_id": "P31", "children": [
{"parent_id": "C426", "children": [
{"parent_id": "D1037", "children": [], "type": "A", "id": "A3449", "name": "东北大马路"},
{"parent_id": "D1037", "children": [], "type": "A", "id": "A3761", "name": "吉祥市场"},
{"parent_id": "D1037", "children": [], "type": "A", "id": "A3084", "name": "大东路/东塔"},
{"parent_id": "D1037", "children": [], "type": "A", "id": "A4039", "name": "滂江街"},
{"parent_id": "D1037", "children": [], "type": "A", "id": "A2138", "name": "大东广场"},
{"parent_id": "D1037", "children": [], "type": "A", "id": "A2661", "name": "东站"},
{"parent_id": "D1037", "children": [], "type": "A", "id": "A1312", "name": "东中街"}], "type": "D", "id": "D1037", "name": "大东区"},
{"parent_id": "C426", "children": [
{"parent_id": "D1039", "children": [], "type": "A", "id": "A3763", "name": "明廉"},
{"parent_id": "D1039", "children": [], "type": "A", "id": "A4281", "name": "塔湾/小白楼"},
{"parent_id": "D1039", "children": [], "type": "A", "id": "A3086", "name": "皇姑屯"},
{"parent_id": "D1039", "children": [], "type": "A", "id": "A3451", "name": "龙江广场"},
{"parent_id": "D1039", "children": [], "type": "A", "id": "A2663", "name": "长客总站"},
{"parent_id": "D1039", "children": [], "type": "A", "id": "A1314", "name": "北行/辽大"},
{"parent_id": "D1039", "children": [], "type": "A", "id": "A4041", "name": "怒江北街/陵西"},
{"parent_id": "D1039", "children": [], "type": "A", "id": "A2140", "name": "北陵"}], "type": "D", "id": "D1039", "name": "皇姑区"},
{"parent_id": "C426", "children": [
{"parent_id": "D1038", "children": [], "type": "A", "id": "A4481", "name": "新华广场"},
{"parent_id": "D1038", "children": [], "type": "A", "id": "A3762", "name": "太原街"},
{"parent_id": "D1038", "children": [], "type": "A", "id": "A2139", "name": "彩电塔"},
{"parent_id": "D1038", "children": [], "type": "A", "id": "A4280", "name": "西塔/北市场"},
{"parent_id": "D1038", "children": [], "type": "A", "id": "A3085", "name": "三好街"},
{"parent_id": "D1038", "children": [], "type": "A", "id": "A3450", "name": "沙山"},
{"parent_id": "D1038", "children": [], "type": "A", "id": "A1313", "name": "长白地区"},
{"parent_id": "D1038", "children": [], "type": "A", "id": "A2662", "name": "南市/马路湾"},
{"parent_id": "D1038", "children": [], "type": "A", "id": "A4040", "name": "五里河/南湖公园"}], "type": "D", "id": "D1038", "name": "和平区"},
{"parent_id": "C426", "children": [
{"parent_id": "D1042", "children": [], "type": "A", "id": "A3765", "name": "铁西广场"},
{"parent_id": "D1042", "children": [], "type": "A", "id": "A4283", "name": "重工街沿线"},
{"parent_id": "D1042", "children": [], "type": "A", "id": "A3454", "name": "沈辽路"},
{"parent_id": "D1042", "children": [], "type": "A", "id": "A2666", "name": "北一路万达"},
{"parent_id": "D1042", "children": [], "type": "A", "id": "A1317", "name": "北二马路"},
{"parent_id": "D1042", "children": [], "type": "A", "id": "A4043", "name": "铁西万达"},
{"parent_id": "D1042", "children": [], "type": "A", "id": "A3089", "name": "滑翔小区"},
{"parent_id": "D1042", "children": [], "type": "A", "id": "A2143", "name": "保工街"}], "type": "D", "id": "D1042", "name": "铁西区"},
{"parent_id": "C426", "children": [], "type": "D", "id": "D1043", "name": "于洪区"},
{"parent_id": "C426", "children": [
{"parent_id": "D1040", "children": [], "type": "A", "id": "A3087", "name": "苏家屯区"},
{"parent_id": "D1040", "children": [], "type": "A", "id": "A3452", "name": "新民市"},
{"parent_id": "D1040", "children": [], "type": "A", "id": "A2664", "name": "沈北新区"},
{"parent_id": "D1040", "children": [], "type": "A", "id": "A1315", "name": "东陵区"},
{"parent_id": "D1040", "children": [], "type": "A", "id": "A2141", "name": "辽中县"}], "type": "D", "id": "D1040", "name": "近郊"},
{"parent_id": "C426", "children": [
{"parent_id": "D1041", "children": [], "type": "A", "id": "A4482", "name": "中街/故宫"},
{"parent_id": "D1041", "children": [], "type": "A", "id": "A3764", "name": "文艺路/文化路"},
{"parent_id": "D1041", "children": [], "type": "A", "id": "A4282", "name": "小河沿"},
{"parent_id": "D1041", "children": [], "type": "A", "id": "A3088", "name": "奉天街沿线"},
{"parent_id": "D1041", "children": [], "type": "A", "id": "A3453", "name": "怀远门"},
{"parent_id": "D1041", "children": [], "type": "A", "id": "A2665", "name": "长青街"},
{"parent_id": "D1041", "children": [], "type": "A", "id": "A159", "name": "展览馆"},
{"parent_id": "D1041", "children": [], "type": "A", "id": "A1316", "name": "奥体中心"},
{"parent_id": "D1041", "children": [], "type": "A", "id": "A4042", "name": "五爱市场"},
{"parent_id": "D1041", "children": [], "type": "A", "id": "A2142", "name": "北站/市府"}], "type": "D", "id": "D1041", "name": "沈河区"}], "type": "C", "id": "C426", "name": "沈阳"},
{"parent_id": "P31", "children": [], "type": "C", "id": "C53", "name": "海城"},
{"parent_id": "P31", "children": [], "type": "C", "id": "C52", "name": "葫芦岛"},
{"parent_id": "P31", "children": [], "type": "C", "id": "C51", "name": "朝阳"},
{"parent_id": "P31", "children": [], "type": "C", "id": "C50", "name": "铁岭"},
{"parent_id": "P31", "children": [], "type": "C", "id": "C44", "name": "丹东"},
{"parent_id": "P31", "children": [], "type": "C", "id": "C45", "name": "锦州"},
{"parent_id": "P31", "children": [
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{"parent_id": "D196", "children": [], "type": "A", "id": "A1341", "name": "大润发"},
{"parent_id": "D196", "children": [], "type": "A", "id": "A1497", "name": "公汽公司"},
{"parent_id": "D196", "children": [], "type": "A", "id": "A3192", "name": "渤海明珠"},
{"parent_id": "D196", "children": [], "type": "A", "id": "A654", "name": "大商新玛特"},
{"parent_id": "D196", "children": [], "type": "A", "id": "A4336", "name": "十六中学"},
{"parent_id": "D196", "children": [], "type": "A", "id": "A1461", "name": "东风市场"},
{"parent_id": "D196", "children": [], "type": "A", "id": "A1256", "name": "南湖公园"},
{"parent_id": "D196", "children": [], "type": "A", "id": "A2784", "name": "陶瓷城"},
{"parent_id": "D196", "children": [], "type": "A", "id": "A3842", "name": "第一高中"},
{"parent_id": "D196", "children": [], "type": "A", "id": "A465", "name": "盼盼路北"},
{"parent_id": "D196", "children": [], "type": "A", "id": "A2311", "name": "客运站"},
{"parent_id": "D196", "children": [], "type": "A", "id": "A1147", "name": "东升市场"},
{"parent_id": "D196", "children": [], "type": "A", "id": "A4107", "name": "万有街"},
{"parent_id": "D196", "children": [], "type": "A", "id": "A3537", "name": "中心街"},
{"parent_id": "D196", "children": [], "type": "A", "id": "A1403", "name": "火车站"},
{"parent_id": "D196", "children": [], "type": "A", "id": "A428", "name": "体育场/万达"},
{"parent_id": "D196", "children": [], "type": "A", "id": "A32", "name": "红旗小学"},
{"parent_id": "D196", "children": [], "type": "A", "id": "A224", "name": "楞严寺"},
{"parent_id": "D196", "children": [], "type": "A", "id": "A937", "name": "营口兴隆"}], "type": "D", "id": "D196", "name": "站前区"},
{"parent_id": "C46", "children": [], "type": "D", "id": "D194", "name": "老边区"},
{"parent_id": "C46", "children": [
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{"parent_id": "D195", "children": [], "type": "A", "id": "A1647", "name": "得胜市场"},
{"parent_id": "D195", "children": [], "type": "A", "id": "A427", "name": "相和"},
{"parent_id": "D195", "children": [], "type": "A", "id": "A2783", "name": "镜湖公园"},
{"parent_id": "D195", "children": [], "type": "A", "id": "A3841", "name": "食品公司"},
{"parent_id": "D195", "children": [], "type": "A", "id": "A2310", "name": "通惠门"},
{"parent_id": "D195", "children": [], "type": "A", "id": "A3536", "name": "月光园"}], "type": "D", "id": "D195", "name": "西市区"},
{"parent_id": "C46", "children": [
{"parent_id": "D192", "children": [], "type": "A", "id": "A1646", "name": "大石桥兴隆"},
{"parent_id": "D192", "children": [], "type": "A", "id": "A426", "name": "大石桥"}], "type": "D", "id": "D192", "name": "大石桥市"},
{"parent_id": "C46", "children": [], "type": "D", "id": "D193", "name": "盖州市"},
{"parent_id": "C46", "children": [
{"parent_id": "D191", "children": [], "type": "A", "id": "A1645", "name": "世纪广场"},
{"parent_id": "D191", "children": [], "type": "A", "id": "A3190", "name": "鲅鱼圈一高"},
{"parent_id": "D191", "children": [], "type": "A", "id": "A2782", "name": "月亮湖公园"},
{"parent_id": "D191", "children": [], "type": "A", "id": "A2309", "name": "商业大厦"},
{"parent_id": "D191", "children": [], "type": "A", "id": "A425", "name": "青龙山公园"}], "type": "D", "id": "D191", "name": "鲅鱼圈区"}], "type": "C", "id": "C46", "name": "营口"},
{"parent_id": "P31", "children": [], "type": "C", "id": "C47", "name": "阜新"},
{"parent_id": "P31", "children": [], "type": "C", "id": "C40", "name": "大连"},
{"parent_id": "P31", "children": [
{"parent_id": "C41", "children": [], "type": "D", "id": "D170", "name": "台安县"},
{"parent_id": "C41", "children": [
{"parent_id": "D171", "children": [], "type": "A", "id": "A2777", "name": "湖南"},
{"parent_id": "D171", "children": [], "type": "A", "id": "A3838", "name": "人民公园"},
{"parent_id": "D171", "children": [], "type": "A", "id": "A413", "name": "站前"},
{"parent_id": "D171", "children": [], "type": "A", "id": "A4334", "name": "新兴"},
{"parent_id": "D171", "children": [], "type": "A", "id": "A1636", "name": "山南"},
{"parent_id": "D171", "children": [], "type": "A", "id": "A3185", "name": "明达"},
{"parent_id": "D171", "children": [], "type": "A", "id": "A2300", "name": "解放路"},
{"parent_id": "D171", "children": [], "type": "A", "id": "A4104", "name": "长大"},
{"parent_id": "D171", "children": [], "type": "A", "id": "A3533", "name": "园林路/绿化街"}], "type": "D", "id": "D171", "name": "铁东区"},
{"parent_id": "C41", "children": [
{"parent_id": "D172", "children": [], "type": "A", "id": "A414", "name": "千龙户"},
{"parent_id": "D172", "children": [], "type": "A", "id": "A1637", "name": "人民路沿线"},
{"parent_id": "D172", "children": [], "type": "A", "id": "A2301", "name": "永乐公园"}], "type": "D", "id": "D172", "name": "铁西区"},
{"parent_id": "C41", "children": [], "type": "D", "id": "D173", "name": "岫岩满族自治县"},
{"parent_id": "C41", "children": [
{"parent_id": "D167", "children": [], "type": "A", "id": "A2775", "name": "东关"},
{"parent_id": "D167", "children": [], "type": "A", "id": "A411", "name": "新东"},
{"parent_id": "D167", "children": [], "type": "A", "id": "A2298", "name": "北关"},
{"parent_id": "D167", "children": [], "type": "A", "id": "A1634", "name": "站前"}], "type": "D", "id": "D167", "name": "海城市"},
{"parent_id": "C41", "children": [], "type": "D", "id": "D166", "name": "高新区"},
{"parent_id": "C41", "children": [], "type": "D", "id": "D169", "name": "千山区"},
{"parent_id": "C41", "children": [
{"parent_id": "D168", "children": [], "type": "A", "id": "A2776", "name": "立山"},
{"parent_id": "D168", "children": [], "type": "A", "id": "A412", "name": "胜利路沿线"},
{"parent_id": "D168", "children": [], "type": "A", "id": "A2299", "name": "深沟寺"},
{"parent_id": "D168", "children": [], "type": "A", "id": "A1635", "name": "太平"}], "type": "D", "id": "D168", "name": "立山区"}], "type": "C", "id": "C41", "name": "鞍山"},
{"parent_id": "P31", "children": [], "type": "C", "id": "C42", "name": "抚顺"},
{"parent_id": "P31", "children": [], "type": "C", "id": "C43", "name": "本溪"},
{"parent_id": "P31", "children": [], "type": "C", "id": "C48", "name": "辽阳"},
{"parent_id": "P31", "children": [], "type": "C", "id": "C49", "name": "盘锦"}], "type": "P", "id": "P31", "name": "辽宁"},
{"parent_id": "N1", "children": [
{"parent_id": "P32", "children": [], "type": "C", "id": "C57", "name": "辽源"},
{"parent_id": "P32", "children": [], "type": "C", "id": "C56", "name": "四平"},
{"parent_id": "P32", "children": [], "type": "C", "id": "C55", "name": "吉林"},
{"parent_id": "P32", "children": [
{"parent_id": "C54", "children": [], "type": "D", "id": "D208", "name": "汽车开发区"},
{"parent_id": "C54", "children": [], "type": "D", "id": "D209", "name": "双阳区"},
{"parent_id": "C54", "children": [
{"parent_id": "D202", "children": [], "type": "A", "id": "A2316", "name": "净月公园"},
{"parent_id": "D202", "children": [], "type": "A", "id": "A1657", "name": "净月大学城"},
{"parent_id": "D202", "children": [], "type": "A", "id": "A450", "name": "长影世纪城"}], "type": "D", "id": "D202", "name": "净月开发区"},
{"parent_id": "C54", "children": [], "type": "D", "id": "D200", "name": "高新区"},
{"parent_id": "C54", "children": [
{"parent_id": "D201", "children": [], "type": "A", "id": "A2315", "name": "天地十二坊"},
{"parent_id": "D201", "children": [], "type": "A", "id": "A449", "name": "临河街"},
{"parent_id": "D201", "children": [], "type": "A", "id": "A1656", "name": "赛德广场"}], "type": "D", "id": "D201", "name": "经济开发区"},
{"parent_id": "C54", "children": [
{"parent_id": "D206", "children": [], "type": "A", "id": "A3195", "name": "南关区政府"},
{"parent_id": "D206", "children": [], "type": "A", "id": "A3540", "name": "人民广场"},
{"parent_id": "D206", "children": [], "type": "A", "id": "A454", "name": "全安广场"},
{"parent_id": "D206", "children": [], "type": "A", "id": "A4338", "name": "新天地购物公园"},
{"parent_id": "D206", "children": [], "type": "A", "id": "A2788", "name": "工大南门"},
{"parent_id": "D206", "children": [], "type": "A", "id": "A3844", "name": "卫星广场"},
{"parent_id": "D206", "children": [], "type": "A", "id": "A1659", "name": "东南湖大路"},
{"parent_id": "D206", "children": [], "type": "A", "id": "A4109", "name": "五环体育场"},
{"parent_id": "D206", "children": [], "type": "A", "id": "A2318", "name": "东广场"},
{"parent_id": "D206", "children": [], "type": "A", "id": "A33", "name": "重庆路"}], "type": "D", "id": "D206", "name": "南关区"},
{"parent_id": "C54", "children": [
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{"parent_id": "D207", "children": [], "type": "A", "id": "A455", "name": "车百"},
{"parent_id": "D207", "children": [], "type": "A", "id": "A2319", "name": "天茂城中央"}], "type": "D", "id": "D207", "name": "汽车产业开发区"},
{"parent_id": "C54", "children": [
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{"parent_id": "D204", "children": [], "type": "A", "id": "A2317", "name": "胜利公园"},
{"parent_id": "D204", "children": [], "type": "A", "id": "A452", "name": "火车站"},
{"parent_id": "D204", "children": [], "type": "A", "id": "A2787", "name": "西广场"},
{"parent_id": "D204", "children": [], "type": "A", "id": "A1658", "name": "凯旋路"},
{"parent_id": "D204", "children": [], "type": "A", "id": "A3539", "name": "雁鸣湖"}], "type": "D", "id": "D204", "name": "宽城区"},
{"parent_id": "C54", "children": [
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{"parent_id": "C54", "children": [
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{"parent_id": "C54", "children": [
{"parent_id": "D198", "children": [], "type": "A", "id": "A1655", "name": "东站"},
{"parent_id": "D198", "children": [], "type": "A", "id": "A447", "name": "东盛"}], "type": "D", "id": "D198", "name": "二道区"},
{"parent_id": "C54", "children": [
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{"parent_id": "C54", "children": [
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{"parent_id": "D197", "children": [], "type": "A", "id": "A2314", "name": "红旗街"},
{"parent_id": "D197", "children": [], "type": "A", "id": "A4337", "name": "文化广场"},
{"parent_id": "D197", "children": [], "type": "A", "id": "A2786", "name": "湖西路"},
{"parent_id": "D197", "children": [], "type": "A", "id": "A3843", "name": "南湖公园"},
{"parent_id": "D197", "children": [], "type": "A", "id": "A1654", "name": "朝阳桥"},
{"parent_id": "D197", "children": [], "type": "A", "id": "A4108", "name": "欧亚卖场"},
{"parent_id": "D197", "children": [], "type": "A", "id": "A446", "name": "朝阳公园/桂林路"},
{"parent_id": "D197", "children": [], "type": "A", "id": "A3538", "name": "建设街"}], "type": "D", "id": "D197", "name": "朝阳区"}], "type": "C", "id": "C54", "name": "长春"},
{"parent_id": "P32", "children": [], "type": "C", "id": "C59", "name": "白山"},
{"parent_id": "P32", "children": [], "type": "C", "id": "C58", "name": "通化"},
{"parent_id": "P32", "children": [], "type": "C", "id": "C62", "name": "延边"},
{"parent_id": "P32", "children": [], "type": "C", "id": "C63", "name": "桦甸"},
{"parent_id": "P32", "children": [], "type": "C", "id": "C60", "name": "松原"},
{"parent_id": "P32", "children": [], "type": "C", "id": "C61", "name": "白城"}], "type": "P", "id": "P32", "name": "吉林"},
{"parent_id": "N1", "children": [
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{"parent_id": "P33", "children": [], "type": "C", "id": "C70", "name": "佳木斯"},
{"parent_id": "P33", "children": [], "type": "C", "id": "C73", "name": "黑河"},
{"parent_id": "P33", "children": [], "type": "C", "id": "C72", "name": "牡丹江"},
{"parent_id": "P33", "children": [], "type": "C", "id": "C75", "name": "大兴安岭"},
{"parent_id": "P33", "children": [], "type": "C", "id": "C74", "name": "绥化"},
{"parent_id": "P33", "children": [
{"parent_id": "C3", "children": [
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{"parent_id": "D4", "children": [], "type": "A", "id": "A1525", "name": "阿城市"},
{"parent_id": "D4", "children": [], "type": "A", "id": "A2705", "name": "尚志市"},
{"parent_id": "D4", "children": [], "type": "A", "id": "A174", "name": "宾县"},
{"parent_id": "D4", "children": [], "type": "A", "id": "A2221", "name": "方正县"},
{"parent_id": "D4", "children": [], "type": "A", "id": "A3480", "name": "五常市"}], "type": "D", "id": "D4", "name": "近郊"},
{"parent_id": "C3", "children": [
{"parent_id": "D8", "children": [], "type": "A", "id": "A3125", "name": "珠江路/公滨路"},
{"parent_id": "D8", "children": [], "type": "A", "id": "A2707", "name": "香坊大街/通乡街"},
{"parent_id": "D8", "children": [], "type": "A", "id": "A177", "name": "乐松广场"},
{"parent_id": "D8", "children": [], "type": "A", "id": "A1528", "name": "三大动力/三合路"},
{"parent_id": "D8", "children": [], "type": "A", "id": "A2224", "name": "通乡街/果园街"}], "type": "D", "id": "D8", "name": "香坊区"},
{"parent_id": "C3", "children": [], "type": "D", "id": "D6", "name": "平房区"},
{"parent_id": "C3", "children": [
{"parent_id": "D7", "children": [], "type": "A", "id": "A176", "name": "世茂大道"},
{"parent_id": "D7", "children": [], "type": "A", "id": "A1527", "name": "盛恒基广场"},
{"parent_id": "D7", "children": [], "type": "A", "id": "A2223", "name": "太阳岛"}], "type": "D", "id": "D7", "name": "松北区"},
{"parent_id": "C3", "children": [
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{"parent_id": "D5", "children": [], "type": "A", "id": "A3124", "name": "会展中心"},
{"parent_id": "D5", "children": [], "type": "A", "id": "A1", "name": "开发区"},
{"parent_id": "D5", "children": [], "type": "A", "id": "A1393", "name": "香坊万达广场"},
{"parent_id": "D5", "children": [], "type": "A", "id": "A2706", "name": "果戈里/革新街"},
{"parent_id": "D5", "children": [], "type": "A", "id": "A1122", "name": "秋林地区"},
{"parent_id": "D5", "children": [], "type": "A", "id": "A1330", "name": "西客站"},
{"parent_id": "D5", "children": [], "type": "A", "id": "A175", "name": "博物馆"},
{"parent_id": "D5", "children": [], "type": "A", "id": "A4298", "name": "教化广场"},
{"parent_id": "D5", "children": [], "type": "A", "id": "A585", "name": "李范五花园"},
{"parent_id": "D5", "children": [], "type": "A", "id": "A1526", "name": "船舶/军工"},
{"parent_id": "D5", "children": [], "type": "A", "id": "A2222", "name": "服装城"},
{"parent_id": "D5", "children": [], "type": "A", "id": "A899", "name": "民生路"},
{"parent_id": "D5", "children": [], "type": "A", "id": "A4062", "name": "哈尔滨火车站"},
{"parent_id": "D5", "children": [], "type": "A", "id": "A420", "name": "芦家街/宣化街"},
{"parent_id": "D5", "children": [], "type": "A", "id": "A1243", "name": "文昌街"},
{"parent_id": "D5", "children": [], "type": "A", "id": "A196", "name": "凯德广场"},
{"parent_id": "D5", "children": [], "type": "A", "id": "A1437", "name": "征仪路/保健路"},
{"parent_id": "D5", "children": [], "type": "A", "id": "A3481", "name": "和兴路沿线"}], "type": "D", "id": "D5", "name": "南岗区"},
{"parent_id": "C3", "children": [
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{"parent_id": "D2", "children": [], "type": "A", "id": "A2704", "name": "南直路/宏伟路"},
{"parent_id": "D2", "children": [], "type": "A", "id": "A3479", "name": "太古街"},
{"parent_id": "D2", "children": [], "type": "A", "id": "A172", "name": "北环路"},
{"parent_id": "D2", "children": [], "type": "A", "id": "A1524", "name": "哈尔滨东站"},
{"parent_id": "D2", "children": [], "type": "A", "id": "A2220", "name": "景阳街/南极街"}], "type": "D", "id": "D2", "name": "道外区"},
{"parent_id": "C3", "children": [
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{"parent_id": "C3", "children": [
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{"parent_id": "D1", "children": [], "type": "A", "id": "A3787", "name": "新阳路"},
{"parent_id": "D1", "children": [], "type": "A", "id": "A3121", "name": "建国公园"},
{"parent_id": "D1", "children": [], "type": "A", "id": "A1523", "name": "顾乡"},
{"parent_id": "D1", "children": [], "type": "A", "id": "A2703", "name": "关东古巷"},
{"parent_id": "D1", "children": [], "type": "A", "id": "A3478", "name": "群力地区"},
{"parent_id": "D1", "children": [], "type": "A", "id": "A171", "name": "爱建社区"},
{"parent_id": "D1", "children": [], "type": "A", "id": "A4061", "name": "中央大街"}], "type": "D", "id": "D1", "name": "道里区"}], "type": "C", "id": "C3", "name": "哈尔滨"},
{"parent_id": "P33", "children": [], "type": "C", "id": "C68", "name": "大庆"},
{"parent_id": "P33", "children": [], "type": "C", "id": "C69", "name": "伊春"},
{"parent_id": "P33", "children": [], "type": "C", "id": "C66", "name": "鹤岗"},
{"parent_id": "P33", "children": [], "type": "C", "id": "C67", "name": "双鸭山"},
{"parent_id": "P33", "children": [
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{"parent_id": "C64", "children": [], "type": "D", "id": "D224", "name": "泰来县"},
{"parent_id": "C64", "children": [
{"parent_id": "D225", "children": [], "type": "A", "id": "A1667", "name": "火车站"},
{"parent_id": "D225", "children": [], "type": "A", "id": "A2326", "name": "和平厂西门"},
{"parent_id": "D225", "children": [], "type": "A", "id": "A469", "name": "百花园"},
{"parent_id": "D225", "children": [], "type": "A", "id": "A2795", "name": "附属三院"}], "type": "D", "id": "D225", "name": "铁锋区"},
{"parent_id": "C64", "children": [], "type": "D", "id": "D220", "name": "富拉尔基区"},
{"parent_id": "C64", "children": [
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{"parent_id": "D221", "children": [], "type": "A", "id": "A1665", "name": "沃尔玛"},
{"parent_id": "D221", "children": [], "type": "A", "id": "A4112", "name": "三中"},
{"parent_id": "D221", "children": [], "type": "A", "id": "A3543", "name": "齐齐哈尔大学西区"},
{"parent_id": "D221", "children": [], "type": "A", "id": "A3847", "name": "龙北街"},
{"parent_id": "D221", "children": [], "type": "A", "id": "A2324", "name": "东四道街"},
{"parent_id": "D221", "children": [], "type": "A", "id": "A467", "name": "大商新玛特"},
{"parent_id": "D221", "children": [], "type": "A", "id": "A2793", "name": "大润发二店"}], "type": "D", "id": "D221", "name": "建华区"},
{"parent_id": "C64", "children": [], "type": "D", "id": "D222", "name": "龙江县"},
{"parent_id": "C64", "children": [
{"parent_id": "D223", "children": [], "type": "A", "id": "A1666", "name": "大润发一店"},
{"parent_id": "D223", "children": [], "type": "A", "id": "A3544", "name": "以马内利教堂"},
{"parent_id": "D223", "children": [], "type": "A", "id": "A2325", "name": "龙南街"},
{"parent_id": "D223", "children": [], "type": "A", "id": "A3200", "name": "百花红楼"},
{"parent_id": "D223", "children": [], "type": "A", "id": "A468", "name": "合意路"},
{"parent_id": "D223", "children": [], "type": "A", "id": "A2794", "name": "民航路"}], "type": "D", "id": "D223", "name": "龙沙区"}], "type": "C", "id": "C64", "name": "齐齐哈尔"},
{"parent_id": "P33", "children": [], "type": "C", "id": "C65", "name": "鸡西"}], "type": "P", "id": "P33", "name": "黑龙江"},
{"parent_id": "N1", "children": [
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{"parent_id": "P4", "children": [], "type": "C", "id": "C152", "name": "阜阳"},
{"parent_id": "P4", "children": [], "type": "C", "id": "C151", "name": "滁州"},
{"parent_id": "P4", "children": [], "type": "C", "id": "C150", "name": "黄山"},
{"parent_id": "P4", "children": [], "type": "C", "id": "C157", "name": "池州"},
{"parent_id": "P4", "children": [], "type": "C", "id": "C156", "name": "亳州"},
{"parent_id": "P4", "children": [], "type": "C", "id": "C155", "name": "六安"},
{"parent_id": "P4", "children": [], "type": "C", "id": "C154", "name": "巢湖"},
{"parent_id": "P4", "children": [], "type": "C", "id": "C158", "name": "宣城"},
{"parent_id": "P4", "children": [
{"parent_id": "C142", "children": [
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{"parent_id": "D448", "children": [], "type": "A", "id": "A3277", "name": "大通路"},
{"parent_id": "D448", "children": [], "type": "A", "id": "A285", "name": "汽车东站"},
{"parent_id": "D448", "children": [], "type": "A", "id": "A984", "name": "长江东路"},
{"parent_id": "D448", "children": [], "type": "A", "id": "A2881", "name": "大东门"},
{"parent_id": "D448", "children": [], "type": "A", "id": "A734", "name": "元一广场"},
{"parent_id": "D448", "children": [], "type": "A", "id": "A3614", "name": "火车站"},
{"parent_id": "D448", "children": [], "type": "A", "id": "A504", "name": "生态公园"},
{"parent_id": "D448", "children": [], "type": "A", "id": "A762", "name": "宝业东城广场"},
{"parent_id": "D448", "children": [], "type": "A", "id": "A4167", "name": "合裕路"},
{"parent_id": "D448", "children": [], "type": "A", "id": "A2425", "name": "东二环"},
{"parent_id": "D448", "children": [], "type": "A", "id": "A3908", "name": "和平路"},
{"parent_id": "D448", "children": [], "type": "A", "id": "A1810", "name": "长江批发市场"},
{"parent_id": "D448", "children": [], "type": "A", "id": "A76", "name": "临泉路"}], "type": "D", "id": "D448", "name": "瑶海区"},
{"parent_id": "C142", "children": [], "type": "D", "id": "D449", "name": "长丰县"},
{"parent_id": "C142", "children": [], "type": "D", "id": "D444", "name": "庐江县"},
{"parent_id": "C142", "children": [], "type": "D", "id": "D440", "name": "肥东县"},
{"parent_id": "C142", "children": [], "type": "D", "id": "D441", "name": "肥西县"},
{"parent_id": "C142", "children": [], "type": "D", "id": "D442", "name": "高新区"},
{"parent_id": "C142", "children": [
{"parent_id": "D443", "children": [], "type": "A", "id": "A3274", "name": "明珠广场"},
{"parent_id": "D443", "children": [], "type": "A", "id": "A758", "name": "奥体中心"},
{"parent_id": "D443", "children": [], "type": "A", "id": "A1807", "name": "大学城"},
{"parent_id": "D443", "children": [], "type": "A", "id": "A3611", "name": "中环城"},
{"parent_id": "D443", "children": [], "type": "A", "id": "A2422", "name": "翡翠路"},
{"parent_id": "D443", "children": [], "type": "A", "id": "A2878", "name": "港澳广场"}], "type": "D", "id": "D443", "name": "经开区"},
{"parent_id": "C142", "children": [
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{"parent_id": "D445", "children": [], "type": "A", "id": "A4383", "name": "阜南路"},
{"parent_id": "D445", "children": [], "type": "A", "id": "A3275", "name": "财富广场"},
{"parent_id": "D445", "children": [], "type": "A", "id": "A759", "name": "步行街"},
{"parent_id": "D445", "children": [], "type": "A", "id": "A283", "name": "欢乐颂"},
{"parent_id": "D445", "children": [], "type": "A", "id": "A982", "name": "老报馆"},
{"parent_id": "D445", "children": [], "type": "A", "id": "A732", "name": "黄山大厦"},
{"parent_id": "D445", "children": [], "type": "A", "id": "A1575", "name": "市府广场"},
{"parent_id": "D445", "children": [], "type": "A", "id": "A1808", "name": "白水坝"},
{"parent_id": "D445", "children": [], "type": "A", "id": "A1801", "name": "杏花公园"},
{"parent_id": "D445", "children": [], "type": "A", "id": "A2066", "name": "颍上路"},
{"parent_id": "D445", "children": [], "type": "A", "id": "A1275", "name": "女人街"},
{"parent_id": "D445", "children": [], "type": "A", "id": "A1172", "name": "蒙城北路"},
{"parent_id": "D445", "children": [], "type": "A", "id": "A2157", "name": "沿河路"},
{"parent_id": "D445", "children": [], "type": "A", "id": "A3612", "name": "城隍庙"},
{"parent_id": "D445", "children": [], "type": "A", "id": "A1350", "name": "双岗"},
{"parent_id": "D445", "children": [], "type": "A", "id": "A2119", "name": "银泰百货"},
{"parent_id": "D445", "children": [], "type": "A", "id": "A502", "name": "淮河路"},
{"parent_id": "D445", "children": [], "type": "A", "id": "A1412", "name": "三孝口"},
{"parent_id": "D445", "children": [], "type": "A", "id": "A1675", "name": "四牌楼"},
{"parent_id": "D445", "children": [], "type": "A", "id": "A4165", "name": "豆瓣汇步行街"},
{"parent_id": "D445", "children": [], "type": "A", "id": "A2423", "name": "亳州路"},
{"parent_id": "D445", "children": [], "type": "A", "id": "A1506", "name": "宿州路"},
{"parent_id": "D445", "children": [], "type": "A", "id": "A3906", "name": "电子16所"},
{"parent_id": "D445", "children": [], "type": "A", "id": "A2879", "name": "百花井"},
{"parent_id": "D445", "children": [], "type": "A", "id": "A1470", "name": "四里河"},
{"parent_id": "D445", "children": [], "type": "A", "id": "A74", "name": "红星路"}], "type": "D", "id": "D445", "name": "庐阳区"},
{"parent_id": "C142", "children": [
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{"parent_id": "D446", "children": [], "type": "A", "id": "A3276", "name": "国购广场"},
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{"parent_id": "D446", "children": [], "type": "A", "id": "A2880", "name": "大唐国际乐购"},
{"parent_id": "D446", "children": [], "type": "A", "id": "A1276", "name": "皖河支路美食街"},
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{"parent_id": "D451", "children": [], "type": "A", "id": "A735", "name": "黄山西路"},
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{"parent_id": "D451", "children": [], "type": "A", "id": "A1802", "name": "五一广场"},
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{"parent_id": "D451", "children": [], "type": "A", "id": "A2158", "name": "香格里拉"},
{"parent_id": "D451", "children": [], "type": "A", "id": "A3615", "name": "第八中学"},
{"parent_id": "D451", "children": [], "type": "A", "id": "A1352", "name": "两站广场"},
{"parent_id": "D451", "children": [], "type": "A", "id": "A505", "name": "华强城"},
{"parent_id": "D451", "children": [], "type": "A", "id": "A1414", "name": "银湖路欧尚"},
{"parent_id": "D451", "children": [], "type": "A", "id": "A1676", "name": "万达广场"},
{"parent_id": "D451", "children": [], "type": "A", "id": "A764", "name": "步行街"},
{"parent_id": "D451", "children": [], "type": "A", "id": "A4168", "name": "东方龙城"},
{"parent_id": "D451", "children": [], "type": "A", "id": "A2427", "name": "北门"},
{"parent_id": "D451", "children": [], "type": "A", "id": "A1507", "name": "融汇中江广场"},
{"parent_id": "D451", "children": [], "type": "A", "id": "A3909", "name": "第三中学"},
{"parent_id": "D451", "children": [], "type": "A", "id": "A2205", "name": "左岸生活"},
{"parent_id": "D451", "children": [], "type": "A", "id": "A1472", "name": "侨鸿国际"},
{"parent_id": "D451", "children": [], "type": "A", "id": "A1812", "name": "滨江世茂"},
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{"parent_id": "D463", "children": [], "type": "A", "id": "A3912", "name": "新亚"},
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{"parent_id": "P6", "children": [], "type": "C", "id": "C176", "name": "鹰潭"},
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{"parent_id": "P6", "children": [], "type": "C", "id": "C186", "name": "三清山"},
{"parent_id": "P6", "children": [], "type": "C", "id": "C181", "name": "抚州"},
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{"parent_id": "D1058", "children": [], "type": "A", "id": "A881", "name": "大石桥/体育场"},
{"parent_id": "D1058", "children": [], "type": "A", "id": "A4052", "name": "经三路沿线"},
{"parent_id": "D1058", "children": [], "type": "A", "id": "A3101", "name": "丰业广场"},
{"parent_id": "D1058", "children": [], "type": "A", "id": "A1219", "name": "省电视台"},
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{"parent_id": "D1058", "children": [], "type": "A", "id": "A1110", "name": "金水路/省政府"},
{"parent_id": "D1058", "children": [], "type": "A", "id": "A1489", "name": "郑州东站"},
{"parent_id": "D1058", "children": [], "type": "A", "id": "A4490", "name": "金城国际广场"},
{"parent_id": "D1058", "children": [], "type": "A", "id": "A3775", "name": "花园路柳林"},
{"parent_id": "D1058", "children": [], "type": "A", "id": "A4291", "name": "建文新世界"},
{"parent_id": "D1058", "children": [], "type": "A", "id": "A382", "name": "曼哈顿广场"},
{"parent_id": "D1058", "children": [], "type": "A", "id": "A1436", "name": "郑东新区"},
{"parent_id": "D1058", "children": [], "type": "A", "id": "A2165", "name": "北大学城"}], "type": "D", "id": "D1058", "name": "金水区"},
{"parent_id": "C429", "children": [
{"parent_id": "D1055", "children": [], "type": "A", "id": "A1363", "name": "大上海城"},
{"parent_id": "D1055", "children": [], "type": "A", "id": "A3463", "name": "西大街"},
{"parent_id": "D1055", "children": [], "type": "A", "id": "A2677", "name": "经开区"},
{"parent_id": "D1055", "children": [], "type": "A", "id": "A4051", "name": "新世界百货/紫荆山"},
{"parent_id": "D1055", "children": [], "type": "A", "id": "A3773", "name": "康桥商务广场"},
{"parent_id": "D1055", "children": [], "type": "A", "id": "A3099", "name": "人民路"},
{"parent_id": "D1055", "children": [], "type": "A", "id": "A2163", "name": "富田太阳城"}], "type": "D", "id": "D1055", "name": "管城回族区"},
{"parent_id": "C429", "children": [], "type": "D", "id": "D1054", "name": "高新区"},
{"parent_id": "C429", "children": [
{"parent_id": "D1053", "children": [], "type": "A", "id": "A1362", "name": "长城康桥华城"},
{"parent_id": "D1053", "children": [], "type": "A", "id": "A3462", "name": "升龙广场"},
{"parent_id": "D1053", "children": [], "type": "A", "id": "A2676", "name": "二七路/火车站"},
{"parent_id": "D1053", "children": [], "type": "A", "id": "A4489", "name": "郑州大学"},
{"parent_id": "D1053", "children": [], "type": "A", "id": "A4050", "name": "郑铁体育中心"},
{"parent_id": "D1053", "children": [], "type": "A", "id": "A3772", "name": "鑫苑美适中心"},
{"parent_id": "D1053", "children": [], "type": "A", "id": "A4290", "name": "长江路沿线"},
{"parent_id": "D1053", "children": [], "type": "A", "id": "A3098", "name": "人民公园"},
{"parent_id": "D1053", "children": [], "type": "A", "id": "A2162", "name": "二七万达"}], "type": "D", "id": "D1053", "name": "二七区"},
{"parent_id": "C429", "children": [
{"parent_id": "D1060", "children": [], "type": "A", "id": "A1367", "name": "碧沙岗"},
{"parent_id": "D1060", "children": [], "type": "A", "id": "A3466", "name": "凯旋门"},
{"parent_id": "D1060", "children": [], "type": "A", "id": "A3776", "name": "绿城广场"},
{"parent_id": "D1060", "children": [], "type": "A", "id": "A4053", "name": "中原万达"},
{"parent_id": "D1060", "children": [], "type": "A", "id": "A3102", "name": "锦艺城"},
{"parent_id": "D1060", "children": [], "type": "A", "id": "A2680", "name": "儿童公园"},
{"parent_id": "D1060", "children": [], "type": "A", "id": "A2166", "name": "大学路"}], "type": "D", "id": "D1060", "name": "中原区"}], "type": "C", "id": "C429", "name": "郑州"},
{"parent_id": "P8", "children": [], "type": "C", "id": "C216", "name": "开封"},
{"parent_id": "P8", "children": [
{"parent_id": "C217", "children": [], "type": "D", "id": "D656", "name": "宜阳县"},
{"parent_id": "C217", "children": [
{"parent_id": "D651", "children": [], "type": "A", "id": "A2501", "name": "九都路美食街"},
{"parent_id": "D651", "children": [], "type": "A", "id": "A1902", "name": "凯旋广场/大商新玛特"},
{"parent_id": "D651", "children": [], "type": "A", "id": "A3340", "name": "火车站"},
{"parent_id": "D651", "children": [], "type": "A", "id": "A2952", "name": "道北"},
{"parent_id": "D651", "children": [], "type": "A", "id": "A896", "name": "新都汇/王府井"}], "type": "D", "id": "D651", "name": "西工区"},
{"parent_id": "C217", "children": [], "type": "D", "id": "D650", "name": "嵩县"},
{"parent_id": "C217", "children": [], "type": "D", "id": "D653", "name": "新安县"},
{"parent_id": "C217", "children": [
{"parent_id": "D652", "children": [], "type": "A", "id": "A1903", "name": "大学城"},
{"parent_id": "D652", "children": [], "type": "A", "id": "A897", "name": "宝龙城市广场"}], "type": "D", "id": "D652", "name": "新区"},
{"parent_id": "C217", "children": [
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{"parent_id": "D655", "children": [], "type": "A", "id": "A3958", "name": "八一路北段"},
{"parent_id": "D655", "children": [], "type": "A", "id": "A2502", "name": "北花坛/新车站"},
{"parent_id": "D655", "children": [], "type": "A", "id": "A1904", "name": "大张盛德美"},
{"parent_id": "D655", "children": [], "type": "A", "id": "A2953", "name": "文化南路"},
{"parent_id": "D655", "children": [], "type": "A", "id": "A898", "name": "南花坛"},
{"parent_id": "D655", "children": [], "type": "A", "id": "A3341", "name": "文化北路"}], "type": "D", "id": "D655", "name": "伊川县"},
{"parent_id": "C217", "children": [], "type": "D", "id": "D645", "name": "栾川县"},
{"parent_id": "C217", "children": [], "type": "D", "id": "D648", "name": "孟津县"},
{"parent_id": "C217", "children": [], "type": "D", "id": "D649", "name": "汝阳县"},
{"parent_id": "C217", "children": [
{"parent_id": "D642", "children": [], "type": "A", "id": "A3668", "name": "建设路沿线"},
{"parent_id": "D642", "children": [], "type": "A", "id": "A3957", "name": "香港城/武汉路"},
{"parent_id": "D642", "children": [], "type": "A", "id": "A2499", "name": "万达广场"},
{"parent_id": "D642", "children": [], "type": "A", "id": "A3339", "name": "珠江路美食街"},
{"parent_id": "D642", "children": [], "type": "A", "id": "A1900", "name": "广州市场/牡丹广场"},
{"parent_id": "D642", "children": [], "type": "A", "id": "A4210", "name": "嵩山路沿线"},
{"parent_id": "D642", "children": [], "type": "A", "id": "A2950", "name": "南昌路丹尼斯"},
{"parent_id": "D642", "children": [], "type": "A", "id": "A893", "name": "上海市场"},
{"parent_id": "D642", "children": [], "type": "A", "id": "A4423", "name": "高新区"}], "type": "D", "id": "D642", "name": "涧西区"},
{"parent_id": "C217", "children": [], "type": "D", "id": "D643", "name": "吉利区"},
{"parent_id": "C217", "children": [
{"parent_id": "D641", "children": [], "type": "A", "id": "A892", "name": "东花坛"}], "type": "D", "id": "D641", "name": "瀍河回族区"},
{"parent_id": "C217", "children": [
{"parent_id": "D646", "children": [], "type": "A", "id": "A2500", "name": "泉舜广场"},
{"parent_id": "D646", "children": [], "type": "A", "id": "A1901", "name": "安乐/师范学院"},
{"parent_id": "D646", "children": [], "type": "A", "id": "A2951", "name": "关林"},
{"parent_id": "D646", "children": [], "type": "A", "id": "A895", "name": "政和路美食街"}], "type": "D", "id": "D646", "name": "洛龙区"},
{"parent_id": "C217", "children": [], "type": "D", "id": "D647", "name": "洛宁县"},
{"parent_id": "C217", "children": [
{"parent_id": "D644", "children": [], "type": "A", "id": "A894", "name": "老城"}], "type": "D", "id": "D644", "name": "老城区"},
{"parent_id": "C217", "children": [], "type": "D", "id": "D654", "name": "偃师市"}], "type": "C", "id": "C217", "name": "洛阳"},
{"parent_id": "P8", "children": [], "type": "C", "id": "C218", "name": "平顶山"},
{"parent_id": "P8", "children": [], "type": "C", "id": "C219", "name": "安阳"},
{"parent_id": "P8", "children": [], "type": "C", "id": "C232", "name": "伊川"},
{"parent_id": "P8", "children": [], "type": "C", "id": "C233", "name": "济源"},
{"parent_id": "P8", "children": [], "type": "C", "id": "C230", "name": "周口"},
{"parent_id": "P8", "children": [], "type": "C", "id": "C231", "name": "驻马店"},
{"parent_id": "P8", "children": [], "type": "C", "id": "C229", "name": "信阳"},
{"parent_id": "P8", "children": [], "type": "C", "id": "C228", "name": "商丘"},
{"parent_id": "P8", "children": [], "type": "C", "id": "C225", "name": "漯河"},
{"parent_id": "P8", "children": [], "type": "C", "id": "C224", "name": "许昌"},
{"parent_id": "P8", "children": [
{"parent_id": "C227", "children": [], "type": "D", "id": "D679", "name": "西峡县"},
{"parent_id": "C227", "children": [], "type": "D", "id": "D678", "name": "新野县"},
{"parent_id": "C227", "children": [], "type": "D", "id": "D677", "name": "淅川县"},
{"parent_id": "C227", "children": [
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{"parent_id": "D676", "children": [], "type": "A", "id": "A772", "name": "师院"},
{"parent_id": "D676", "children": [], "type": "A", "id": "A334", "name": "鸿德"},
{"parent_id": "D676", "children": [], "type": "A", "id": "A2507", "name": "滨河中路"},
{"parent_id": "D676", "children": [], "type": "A", "id": "A112", "name": "梅溪路"},
{"parent_id": "D676", "children": [], "type": "A", "id": "A908", "name": "火车站"},
{"parent_id": "D676", "children": [], "type": "A", "id": "A3673", "name": "大统"},
{"parent_id": "D676", "children": [], "type": "A", "id": "A4213", "name": "府衙"},
{"parent_id": "D676", "children": [], "type": "A", "id": "A1909", "name": "裕华商城"},
{"parent_id": "D676", "children": [], "type": "A", "id": "A3346", "name": "人民北路"},
{"parent_id": "D676", "children": [], "type": "A", "id": "A3962", "name": "天桥"},
{"parent_id": "D676", "children": [], "type": "A", "id": "A2958", "name": "滨河西路"},
{"parent_id": "D676", "children": [], "type": "A", "id": "A4426", "name": "新华城市广场"}], "type": "D", "id": "D676", "name": "卧龙区"},
{"parent_id": "C227", "children": [
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{"parent_id": "D675", "children": [], "type": "A", "id": "A2506", "name": "南阳五中"},
{"parent_id": "D675", "children": [], "type": "A", "id": "A3672", "name": "枣林"},
{"parent_id": "D675", "children": [], "type": "A", "id": "A1908", "name": "医圣祠"},
{"parent_id": "D675", "children": [], "type": "A", "id": "A3345", "name": "南航大厦"},
{"parent_id": "D675", "children": [], "type": "A", "id": "A3961", "name": "独山大道"},
{"parent_id": "D675", "children": [], "type": "A", "id": "A2957", "name": "钢材市场"}], "type": "D", "id": "D675", "name": "宛城区"},
{"parent_id": "C227", "children": [], "type": "D", "id": "D674", "name": "桐柏县"},
{"parent_id": "C227", "children": [], "type": "D", "id": "D673", "name": "唐河县"},
{"parent_id": "C227", "children": [], "type": "D", "id": "D672", "name": "社旗县"},
{"parent_id": "C227", "children": [], "type": "D", "id": "D671", "name": "内乡县"},
{"parent_id": "C227", "children": [], "type": "D", "id": "D670", "name": "南召县"},
{"parent_id": "C227", "children": [], "type": "D", "id": "D680", "name": "镇平县"},
{"parent_id": "C227", "children": [], "type": "D", "id": "D668", "name": "邓州市"},
{"parent_id": "C227", "children": [], "type": "D", "id": "D669", "name": "方城县"}], "type": "C", "id": "C227", "name": "南阳"},
{"parent_id": "P8", "children": [], "type": "C", "id": "C226", "name": "三门峡"},
{"parent_id": "P8", "children": [], "type": "C", "id": "C220", "name": "鹤壁"},
{"parent_id": "P8", "children": [], "type": "C", "id": "C223", "name": "濮阳"},
{"parent_id": "P8", "children": [
{"parent_id": "C222", "children": [], "type": "D", "id": "D657", "name": "博爱县"},
{"parent_id": "C222", "children": [], "type": "D", "id": "D664", "name": "温县"},
{"parent_id": "C222", "children": [], "type": "D", "id": "D665", "name": "武陟县"},
{"parent_id": "C222", "children": [
{"parent_id": "D666", "children": [], "type": "A", "id": "A903", "name": "云台山"}], "type": "D", "id": "D666", "name": "修武县"},
{"parent_id": "C222", "children": [], "type": "D", "id": "D667", "name": "中站区"},
{"parent_id": "C222", "children": [], "type": "D", "id": "D660", "name": "马村区"},
{"parent_id": "C222", "children": [], "type": "D", "id": "D661", "name": "孟州市"},
{"parent_id": "C222", "children": [], "type": "D", "id": "D662", "name": "沁阳市"},
{"parent_id": "C222", "children": [
{"parent_id": "D663", "children": [], "type": "A", "id": "A902", "name": "体院馆"},
{"parent_id": "D663", "children": [], "type": "A", "id": "A333", "name": "新东"},
{"parent_id": "D663", "children": [], "type": "A", "id": "A2505", "name": "新新家园"},
{"parent_id": "D663", "children": [], "type": "A", "id": "A111", "name": "东方红"},
{"parent_id": "D663", "children": [], "type": "A", "id": "A3671", "name": "艺新"},
{"parent_id": "D663", "children": [], "type": "A", "id": "A1907", "name": "九一医院"},
{"parent_id": "D663", "children": [], "type": "A", "id": "A4212", "name": "壹里洋场"},
{"parent_id": "D663", "children": [], "type": "A", "id": "A3344", "name": "南北苑"},
{"parent_id": "D663", "children": [], "type": "A", "id": "A3960", "name": "龙源湖"},
{"parent_id": "D663", "children": [], "type": "A", "id": "A2956", "name": "太极景润"},
{"parent_id": "D663", "children": [], "type": "A", "id": "A4425", "name": "摩登街"}], "type": "D", "id": "D663", "name": "山阳区"},
{"parent_id": "C222", "children": [
{"parent_id": "D659", "children": [], "type": "A", "id": "A901", "name": "时代购物中心"},
{"parent_id": "D659", "children": [], "type": "A", "id": "A2504", "name": "信尧城市广场"},
{"parent_id": "D659", "children": [], "type": "A", "id": "A1906", "name": "源园广场"},
{"parent_id": "D659", "children": [], "type": "A", "id": "A2955", "name": "大商新世纪广场"},
{"parent_id": "D659", "children": [], "type": "A", "id": "A3343", "name": "凯旋城"}], "type": "D", "id": "D659", "name": "济源市"},
{"parent_id": "C222", "children": [
{"parent_id": "D658", "children": [], "type": "A", "id": "A531", "name": "万基商务中心"},
{"parent_id": "D658", "children": [], "type": "A", "id": "A900", "name": "三维"},
{"parent_id": "D658", "children": [], "type": "A", "id": "A3959", "name": "三维广场"},
{"parent_id": "D658", "children": [], "type": "A", "id": "A332", "name": "大杨树"},
{"parent_id": "D658", "children": [], "type": "A", "id": "A2503", "name": "学生路"},
{"parent_id": "D658", "children": [], "type": "A", "id": "A110", "name": "新华街"},
{"parent_id": "D658", "children": [], "type": "A", "id": "A3670", "name": "锦江现代城"},
{"parent_id": "D658", "children": [], "type": "A", "id": "A1905", "name": "月季公园"},
{"parent_id": "D658", "children": [], "type": "A", "id": "A4211", "name": "政二街"},
{"parent_id": "D658", "children": [], "type": "A", "id": "A3342", "name": "香港城"},
{"parent_id": "D658", "children": [], "type": "A", "id": "A2954", "name": "铜马尚品街"},
{"parent_id": "D658", "children": [], "type": "A", "id": "A4424", "name": "锦祥商业街"}], "type": "D", "id": "D658", "name": "解放区"}], "type": "C", "id": "C222", "name": "焦作"},
{"parent_id": "P8", "children": [], "type": "C", "id": "C221", "name": "新乡"}], "type": "P", "id": "P8", "name": "河南"},
{"parent_id": "N1", "children": [
{"parent_id": "P13", "children": [], "type": "C", "id": "C309", "name": "崇左"},
{"parent_id": "P13", "children": [
{"parent_id": "C298", "children": [], "type": "D", "id": "D879", "name": "全州县"},
{"parent_id": "C298", "children": [
{"parent_id": "D878", "children": [], "type": "A", "id": "A2007", "name": "理工大学"},
{"parent_id": "D878", "children": [], "type": "A", "id": "A1071", "name": "甲天下广场"},
{"parent_id": "D878", "children": [], "type": "A", "id": "A2579", "name": "三里店广场"}], "type": "D", "id": "D878", "name": "七星区"},
{"parent_id": "C298", "children": [], "type": "D", "id": "D875", "name": "临桂县"},
{"parent_id": "C298", "children": [
{"parent_id": "D874", "children": [], "type": "A", "id": "A1070", "name": "八里街"}], "type": "D", "id": "D874", "name": "灵川县"},
{"parent_id": "C298", "children": [], "type": "D", "id": "D877", "name": "龙胜各族自治县"},
{"parent_id": "C298", "children": [], "type": "D", "id": "D876", "name": "荔浦县"},
{"parent_id": "C298", "children": [], "type": "D", "id": "D873", "name": "恭城瑶族自治县"},
{"parent_id": "C298", "children": [
{"parent_id": "D872", "children": [], "type": "A", "id": "A1069", "name": "北极广场"}], "type": "D", "id": "D872", "name": "叠彩区"},
{"parent_id": "C298", "children": [
{"parent_id": "D880", "children": [], "type": "A", "id": "A2008", "name": "红街商业街"},
{"parent_id": "D880", "children": [], "type": "A", "id": "A1072", "name": "联达商业广场"},
{"parent_id": "D880", "children": [], "type": "A", "id": "A2580", "name": "西城路步行街"},
{"parent_id": "D880", "children": [], "type": "A", "id": "A3016", "name": "火车南站"}], "type": "D", "id": "D880", "name": "象山区"},
{"parent_id": "C298", "children": [], "type": "D", "id": "D881", "name": "兴安县"},
{"parent_id": "C298", "children": [
{"parent_id": "D882", "children": [], "type": "A", "id": "A2009", "name": "阳桥"},
{"parent_id": "D882", "children": [], "type": "A", "id": "A1073", "name": "中心广场"}], "type": "D", "id": "D882", "name": "秀峰区"},
{"parent_id": "C298", "children": [], "type": "D", "id": "D883", "name": "阳朔县"},
{"parent_id": "C298", "children": [], "type": "D", "id": "D884", "name": "雁山区"},
{"parent_id": "C298", "children": [], "type": "D", "id": "D885", "name": "永福县"},
{"parent_id": "C298", "children": [], "type": "D", "id": "D886", "name": "资源县"}], "type": "C", "id": "C298", "name": "桂林"},
{"parent_id": "P13", "children": [], "type": "C", "id": "C299", "name": "梧州"},
{"parent_id": "P13", "children": [
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{"parent_id": "D859", "children": [], "type": "A", "id": "A3990", "name": "凤岭南"},
{"parent_id": "D859", "children": [], "type": "A", "id": "A1684", "name": "青秀山"},
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{"parent_id": "D859", "children": [], "type": "A", "id": "A2186", "name": "新竹路"},
{"parent_id": "D859", "children": [], "type": "A", "id": "A3705", "name": "凤岭北"},
{"parent_id": "D859", "children": [], "type": "A", "id": "A2000", "name": "茶花园路"},
{"parent_id": "D859", "children": [], "type": "A", "id": "A1297", "name": "柳沙半岛"},
{"parent_id": "D859", "children": [], "type": "A", "id": "A2216", "name": "园湖路"},
{"parent_id": "D859", "children": [], "type": "A", "id": "A1820", "name": "七星新民"},
{"parent_id": "D859", "children": [], "type": "A", "id": "A350", "name": "航洋国际"},
{"parent_id": "D859", "children": [], "type": "A", "id": "A1988", "name": "双拥路"},
{"parent_id": "D859", "children": [], "type": "A", "id": "A4446", "name": "东葛望园"},
{"parent_id": "D859", "children": [], "type": "A", "id": "A1372", "name": "民族大道"},
{"parent_id": "D859", "children": [], "type": "A", "id": "A784", "name": "金湖"},
{"parent_id": "D859", "children": [], "type": "A", "id": "A1424", "name": "民歌湖"},
{"parent_id": "D859", "children": [], "type": "A", "id": "A1480", "name": "民族广场"},
{"parent_id": "D859", "children": [], "type": "A", "id": "A4237", "name": "凤翔路"},
{"parent_id": "D859", "children": [], "type": "A", "id": "A1195", "name": "琅西"},
{"parent_id": "D859", "children": [], "type": "A", "id": "A3010", "name": "东盟商务区"},
{"parent_id": "D859", "children": [], "type": "A", "id": "A130", "name": "古城民族"},
{"parent_id": "D859", "children": [], "type": "A", "id": "A3384", "name": "东葛古城"},
{"parent_id": "D859", "children": [], "type": "A", "id": "A2208", "name": "星湖路"},
{"parent_id": "D859", "children": [], "type": "A", "id": "A1061", "name": "长湖路"},
{"parent_id": "D859", "children": [], "type": "A", "id": "A2269", "name": "竹溪大道"},
{"parent_id": "D859", "children": [], "type": "A", "id": "A2071", "name": "桃源天桃路口"},
{"parent_id": "D859", "children": [], "type": "A", "id": "A1045", "name": "金花茶公园"},
{"parent_id": "D859", "children": [], "type": "A", "id": "A544", "name": "会展中心"},
{"parent_id": "D859", "children": [], "type": "A", "id": "A2167", "name": "仙葫"},
{"parent_id": "D859", "children": [], "type": "A", "id": "A2573", "name": "东葛路"}], "type": "D", "id": "D859", "name": "青秀区"},
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{"parent_id": "D858", "children": [], "type": "A", "id": "A3704", "name": "邕宁区"},
{"parent_id": "D858", "children": [], "type": "A", "id": "A3383", "name": "武鸣县"},
{"parent_id": "D858", "children": [], "type": "A", "id": "A1060", "name": "宾阳县"},
{"parent_id": "D858", "children": [], "type": "A", "id": "A1999", "name": "横县"},
{"parent_id": "D858", "children": [], "type": "A", "id": "A2572", "name": "良庆区"}], "type": "D", "id": "D858", "name": "近郊"},
{"parent_id": "C296", "children": [
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{"parent_id": "D857", "children": [], "type": "A", "id": "A1059", "name": "10+1商业大道"},
{"parent_id": "D857", "children": [], "type": "A", "id": "A3703", "name": "星光大道"},
{"parent_id": "D857", "children": [], "type": "A", "id": "A3989", "name": "香格里拉广场"},
{"parent_id": "D857", "children": [], "type": "A", "id": "A3382", "name": "星光淡村"},
{"parent_id": "D857", "children": [], "type": "A", "id": "A1998", "name": "白沙大道"},
{"parent_id": "D857", "children": [], "type": "A", "id": "A2571", "name": "大沙田"}], "type": "D", "id": "D857", "name": "江南区"},
{"parent_id": "C296", "children": [
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{"parent_id": "D860", "children": [], "type": "A", "id": "A3706", "name": "万达"},
{"parent_id": "D860", "children": [], "type": "A", "id": "A3011", "name": "人民公园"},
{"parent_id": "D860", "children": [], "type": "A", "id": "A3385", "name": "水街"},
{"parent_id": "D860", "children": [], "type": "A", "id": "A1062", "name": "朝阳"},
{"parent_id": "D860", "children": [], "type": "A", "id": "A2574", "name": "民主路"}], "type": "D", "id": "D860", "name": "兴宁区"},
{"parent_id": "C296", "children": [
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{"parent_id": "D861", "children": [], "type": "A", "id": "A4447", "name": "明秀路"},
{"parent_id": "D861", "children": [], "type": "A", "id": "A3707", "name": "衡阳路"},
{"parent_id": "D861", "children": [], "type": "A", "id": "A2002", "name": "北大路"},
{"parent_id": "D861", "children": [], "type": "A", "id": "A351", "name": "南棉商业街"},
{"parent_id": "D861", "children": [], "type": "A", "id": "A785", "name": "相思湖"},
{"parent_id": "D861", "children": [], "type": "A", "id": "A4238", "name": "鲁班路"},
{"parent_id": "D861", "children": [], "type": "A", "id": "A1196", "name": "友爱路"},
{"parent_id": "D861", "children": [], "type": "A", "id": "A3012", "name": "广西大学"},
{"parent_id": "D861", "children": [], "type": "A", "id": "A131", "name": "南铁"},
{"parent_id": "D861", "children": [], "type": "A", "id": "A3386", "name": "高新区"},
{"parent_id": "D861", "children": [], "type": "A", "id": "A1063", "name": "北湖"},
{"parent_id": "D861", "children": [], "type": "A", "id": "A1046", "name": "新阳路"},
{"parent_id": "D861", "children": [], "type": "A", "id": "A545", "name": "五里亭"},
{"parent_id": "D861", "children": [], "type": "A", "id": "A2575", "name": "大学路"}], "type": "D", "id": "D861", "name": "西乡塘区"}], "type": "C", "id": "C296", "name": "南宁"},
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{"parent_id": "C297", "children": [], "type": "D", "id": "D870", "name": "三江侗族自治县"},
{"parent_id": "C297", "children": [], "type": "D", "id": "D868", "name": "融水苗族自治县"},
{"parent_id": "C297", "children": [], "type": "D", "id": "D869", "name": "融安县"},
{"parent_id": "C297", "children": [
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{"parent_id": "D862", "children": [], "type": "A", "id": "A2003", "name": "阳光100"},
{"parent_id": "D862", "children": [], "type": "A", "id": "A3013", "name": "南亚名邸"},
{"parent_id": "D862", "children": [], "type": "A", "id": "A3387", "name": "高新区"},
{"parent_id": "D862", "children": [], "type": "A", "id": "A1064", "name": "市中心"},
{"parent_id": "D862", "children": [], "type": "A", "id": "A2576", "name": "桂中"}], "type": "D", "id": "D862", "name": "城中区"},
{"parent_id": "C297", "children": [
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{"parent_id": "D863", "children": [], "type": "A", "id": "A3014", "name": "欧雅城市广场"},
{"parent_id": "D863", "children": [], "type": "A", "id": "A1065", "name": "大润发"},
{"parent_id": "D863", "children": [], "type": "A", "id": "A2577", "name": "黄村"}], "type": "D", "id": "D863", "name": "柳北区"},
{"parent_id": "C297", "children": [
{"parent_id": "D866", "children": [], "type": "A", "id": "A2006", "name": "五菱"},
{"parent_id": "D866", "children": [], "type": "A", "id": "A3015", "name": "航银"},
{"parent_id": "D866", "children": [], "type": "A", "id": "A1067", "name": "河西"},
{"parent_id": "D866", "children": [], "type": "A", "id": "A2578", "name": "飞鹅"}], "type": "D", "id": "D866", "name": "柳南区"},
{"parent_id": "C297", "children": [], "type": "D", "id": "D867", "name": "鹿寨县"},
{"parent_id": "C297", "children": [], "type": "D", "id": "D864", "name": "柳城县"},
{"parent_id": "C297", "children": [
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{"parent_id": "D865", "children": [], "type": "A", "id": "A1066", "name": "拉堡"}], "type": "D", "id": "D865", "name": "柳江县"}], "type": "C", "id": "C297", "name": "柳州"},
{"parent_id": "P13", "children": [], "type": "C", "id": "C308", "name": "来宾"},
{"parent_id": "P13", "children": [], "type": "C", "id": "C305", "name": "百色"},
{"parent_id": "P13", "children": [], "type": "C", "id": "C310", "name": "阳朔"},
{"parent_id": "P13", "children": [], "type": "C", "id": "C304", "name": "玉林"},
{"parent_id": "P13", "children": [], "type": "C", "id": "C306", "name": "贺州"},
{"parent_id": "P13", "children": [], "type": "C", "id": "C307", "name": "河池"},
{"parent_id": "P13", "children": [], "type": "C", "id": "C302", "name": "钦州"},
{"parent_id": "P13", "children": [], "type": "C", "id": "C303", "name": "贵港"},
{"parent_id": "P13", "children": [], "type": "C", "id": "C300", "name": "北海"},
{"parent_id": "P13", "children": [], "type": "C", "id": "C301", "name": "防城港"}], "type": "P", "id": "P13", "name": "广西"},
{"parent_id": "N1", "children": [
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{"parent_id": "C311", "children": [], "type": "D", "id": "D908", "name": "屯昌县"},
{"parent_id": "C311", "children": [], "type": "D", "id": "D901", "name": "定安县"},
{"parent_id": "C311", "children": [
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{"parent_id": "C311", "children": [], "type": "D", "id": "D899", "name": "澄迈县"},
{"parent_id": "C311", "children": [], "type": "D", "id": "D898", "name": "昌江县"},
{"parent_id": "C311", "children": [], "type": "D", "id": "D897", "name": "白沙县"},
{"parent_id": "C311", "children": [
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{"parent_id": "D910", "children": [], "type": "A", "id": "A3398", "name": "西站"},
{"parent_id": "D910", "children": [], "type": "A", "id": "A3027", "name": "时代广场"},
{"parent_id": "D910", "children": [], "type": "A", "id": "A2026", "name": "假日海滩/西海岸"},
{"parent_id": "D910", "children": [], "type": "A", "id": "A1099", "name": "火山口"}], "type": "D", "id": "D910", "name": "秀英区"},
{"parent_id": "C311", "children": [], "type": "D", "id": "D903", "name": "临高县"},
{"parent_id": "C311", "children": [], "type": "D", "id": "D902", "name": "东方市"},
{"parent_id": "C311", "children": [
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{"parent_id": "D905", "children": [], "type": "A", "id": "A2590", "name": "复兴城"},
{"parent_id": "D905", "children": [], "type": "A", "id": "A3396", "name": "国兴大道"},
{"parent_id": "D905", "children": [], "type": "A", "id": "A3025", "name": "国兴大润发"},
{"parent_id": "D905", "children": [], "type": "A", "id": "A2024", "name": "滨江路"},
{"parent_id": "D905", "children": [], "type": "A", "id": "A356", "name": "望海国际广场"},
{"parent_id": "D905", "children": [], "type": "A", "id": "A1058", "name": "新埠岛"},
{"parent_id": "D905", "children": [], "type": "A", "id": "A4455", "name": "明珠广场"},
{"parent_id": "D905", "children": [], "type": "A", "id": "A1095", "name": "白龙路沿线"},
{"parent_id": "D905", "children": [], "type": "A", "id": "A788", "name": "新港/长堤路"},
{"parent_id": "D905", "children": [], "type": "A", "id": "A549", "name": "文明路/和平路"},
{"parent_id": "D905", "children": [], "type": "A", "id": "A1198", "name": "亿圣和广场"},
{"parent_id": "D905", "children": [], "type": "A", "id": "A137", "name": "南亚广场"},
{"parent_id": "D905", "children": [], "type": "A", "id": "A3717", "name": "海甸岛"},
{"parent_id": "D905", "children": [], "type": "A", "id": "A4000", "name": "灵山镇"}], "type": "D", "id": "D905", "name": "美兰区"},
{"parent_id": "C311", "children": [
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{"parent_id": "D904", "children": [], "type": "A", "id": "A3999", "name": "金盘"},
{"parent_id": "D904", "children": [], "type": "A", "id": "A3395", "name": "解放西/泰龙城"},
{"parent_id": "D904", "children": [], "type": "A", "id": "A3024", "name": "金牛岭公园"},
{"parent_id": "D904", "children": [], "type": "A", "id": "A2023", "name": "东湖"},
{"parent_id": "D904", "children": [], "type": "A", "id": "A3716", "name": "京华城"},
{"parent_id": "D904", "children": [], "type": "A", "id": "A355", "name": "南站/南海大道"},
{"parent_id": "D904", "children": [], "type": "A", "id": "A1094", "name": "滨海大道东段"},
{"parent_id": "D904", "children": [], "type": "A", "id": "A787", "name": "宜欣广场"},
{"parent_id": "D904", "children": [], "type": "A", "id": "A2589", "name": "金龙路/国贸大道"},
{"parent_id": "D904", "children": [], "type": "A", "id": "A4454", "name": "龙昆北路"},
{"parent_id": "D904", "children": [], "type": "A", "id": "A548", "name": "万国大都会"},
{"parent_id": "D904", "children": [], "type": "A", "id": "A136", "name": "南沙路"}], "type": "D", "id": "D904", "name": "龙华区"},
{"parent_id": "C311", "children": [
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{"parent_id": "D907", "children": [], "type": "A", "id": "A3397", "name": "中山路/中介路"},
{"parent_id": "D907", "children": [], "type": "A", "id": "A2025", "name": "高铁东站/凤翔路"},
{"parent_id": "D907", "children": [], "type": "A", "id": "A3026", "name": "龙昆南路"},
{"parent_id": "D907", "children": [], "type": "A", "id": "A1097", "name": "城西"}], "type": "D", "id": "D907", "name": "琼山区"},
{"parent_id": "C311", "children": [
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{"parent_id": "P14", "children": [], "type": "C", "id": "C313", "name": "琼海"},
{"parent_id": "P14", "children": [
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{"parent_id": "C312", "children": [], "type": "D", "id": "D911", "name": "保亭县"},
{"parent_id": "C312", "children": [
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{"parent_id": "C312", "children": [], "type": "D", "id": "D922", "name": "天涯镇"},
{"parent_id": "C312", "children": [], "type": "D", "id": "D927", "name": "育才镇"},
{"parent_id": "C312", "children": [
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{"parent_id": "C312", "children": [], "type": "D", "id": "D925", "name": "崖城镇"},
{"parent_id": "C312", "children": [], "type": "D", "id": "D924", "name": "五指山市"},
{"parent_id": "C312", "children": [
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{"parent_id": "D916", "children": [], "type": "A", "id": "A1102", "name": "步行街"},
{"parent_id": "D916", "children": [], "type": "A", "id": "A2594", "name": "第一市场"},
{"parent_id": "D916", "children": [], "type": "A", "id": "A3399", "name": "河西路"},
{"parent_id": "D916", "children": [], "type": "A", "id": "A3029", "name": "国际购物中心"},
{"parent_id": "D916", "children": [], "type": "A", "id": "A2028", "name": "春园海鲜广场"},
{"parent_id": "D916", "children": [], "type": "A", "id": "A3718", "name": "解放路"},
{"parent_id": "D916", "children": [], "type": "A", "id": "A4001", "name": "明珠广场"}], "type": "D", "id": "D916", "name": "河西区"},
{"parent_id": "C312", "children": [], "type": "D", "id": "D917", "name": "吉阳镇"},
{"parent_id": "C312", "children": [
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{"parent_id": "C312", "children": [], "type": "D", "id": "D913", "name": "凤凰镇"},
{"parent_id": "C312", "children": [], "type": "D", "id": "D918", "name": "乐东县"},
{"parent_id": "C312", "children": [], "type": "D", "id": "D919", "name": "陵水县"},
{"parent_id": "C312", "children": [
{"parent_id": "D915", "children": [], "type": "A", "id": "A2593", "name": "商品街"},
{"parent_id": "D915", "children": [], "type": "A", "id": "A3028", "name": "下洋田"},
{"parent_id": "D915", "children": [], "type": "A", "id": "A2027", "name": "酒吧一条街"},
{"parent_id": "D915", "children": [], "type": "A", "id": "A1101", "name": "金鸡岭"}], "type": "D", "id": "D915", "name": "河东区"},
{"parent_id": "C312", "children": [], "type": "D", "id": "D912", "name": "大东海度假区"},
{"parent_id": "C312", "children": [
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{"parent_id": "D921", "children": [], "type": "A", "id": "A2029", "name": "海坡度假区"}], "type": "D", "id": "D921", "name": "三亚湾"}], "type": "C", "id": "C312", "name": "三亚"}], "type": "P", "id": "P14", "name": "海南"},
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{"parent_id": "D893", "children": [], "type": "A", "id": "A3995", "name": "上海城"},
{"parent_id": "D893", "children": [], "type": "A", "id": "A3712", "name": "南岸区府"},
{"parent_id": "D893", "children": [], "type": "A", "id": "A3391", "name": "南滨路"},
{"parent_id": "D893", "children": [], "type": "A", "id": "A3020", "name": "黄桷垭/南山"},
{"parent_id": "D893", "children": [], "type": "A", "id": "A353", "name": "协信星光时代广场"},
{"parent_id": "D893", "children": [], "type": "A", "id": "A4451", "name": "万达广场"},
{"parent_id": "D893", "children": [], "type": "A", "id": "A2585", "name": "回龙湾"},
{"parent_id": "D893", "children": [], "type": "A", "id": "A134", "name": "五公里"},
{"parent_id": "D893", "children": [], "type": "A", "id": "A2019", "name": "弹子石"},
{"parent_id": "D893", "children": [], "type": "A", "id": "A1089", "name": "南坪"}], "type": "D", "id": "D893", "name": "南岸区"},
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{"parent_id": "D891", "children": [], "type": "A", "id": "A2128", "name": "长寿区"},
{"parent_id": "D891", "children": [], "type": "A", "id": "A4240", "name": "合川区"},
{"parent_id": "D891", "children": [], "type": "A", "id": "A1516", "name": "武隆县"},
{"parent_id": "D891", "children": [], "type": "A", "id": "A3993", "name": "丰都县"},
{"parent_id": "D891", "children": [], "type": "A", "id": "A4449", "name": "江津区"},
{"parent_id": "D891", "children": [], "type": "A", "id": "A1685", "name": "秀山土家族苗族自治县"},
{"parent_id": "D891", "children": [], "type": "A", "id": "A1298", "name": "黔江区"},
{"parent_id": "D891", "children": [], "type": "A", "id": "A3710", "name": "涪陵区"},
{"parent_id": "D891", "children": [], "type": "A", "id": "A1821", "name": "永川区"},
{"parent_id": "D891", "children": [], "type": "A", "id": "A352", "name": "梁平县"},
{"parent_id": "D891", "children": [], "type": "A", "id": "A1057", "name": "彭水苗族土家族自治县"},
{"parent_id": "D891", "children": [], "type": "A", "id": "A1425", "name": "铜梁县"},
{"parent_id": "D891", "children": [], "type": "A", "id": "A1373", "name": "荣昌县"},
{"parent_id": "D891", "children": [], "type": "A", "id": "A786", "name": "南川区"},
{"parent_id": "D891", "children": [], "type": "A", "id": "A2583", "name": "大足区"},
{"parent_id": "D891", "children": [], "type": "A", "id": "A1481", "name": "潼南县"},
{"parent_id": "D891", "children": [], "type": "A", "id": "A1197", "name": "綦江区"},
{"parent_id": "D891", "children": [], "type": "A", "id": "A3018", "name": "垫江县"},
{"parent_id": "D891", "children": [], "type": "A", "id": "A133", "name": "开县"},
{"parent_id": "D891", "children": [], "type": "A", "id": "A3389", "name": "石柱土家族自治县"},
{"parent_id": "D891", "children": [], "type": "A", "id": "A2017", "name": "城口县"},
{"parent_id": "D891", "children": [], "type": "A", "id": "A2072", "name": "酉阳土家族苗族自治县"},
{"parent_id": "D891", "children": [], "type": "A", "id": "A546", "name": "万州区"},
{"parent_id": "D891", "children": [], "type": "A", "id": "A1997", "name": "云阳县"},
{"parent_id": "D891", "children": [], "type": "A", "id": "A2168", "name": "忠县"},
{"parent_id": "D891", "children": [], "type": "A", "id": "A1087", "name": "璧山县"}], "type": "D", "id": "D891", "name": "近郊"},
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{"parent_id": "D890", "children": [], "type": "A", "id": "A3709", "name": "家乐福/华新街"},
{"parent_id": "D890", "children": [], "type": "A", "id": "A4448", "name": "小苑/鸿恩寺"},
{"parent_id": "D890", "children": [], "type": "A", "id": "A2582", "name": "大庙/红旗河沟"},
{"parent_id": "D890", "children": [], "type": "A", "id": "A4239", "name": "建新东路/大兴村"},
{"parent_id": "D890", "children": [], "type": "A", "id": "A3017", "name": "大石坝/盘溪/南桥寺"},
{"parent_id": "D890", "children": [], "type": "A", "id": "A132", "name": "洋河"},
{"parent_id": "D890", "children": [], "type": "A", "id": "A3388", "name": "观音桥"},
{"parent_id": "D890", "children": [], "type": "A", "id": "A2016", "name": "北滨路/金源/星悦荟"},
{"parent_id": "D890", "children": [], "type": "A", "id": "A1086", "name": "北城天街/星光68/九街"}], "type": "D", "id": "D890", "name": "江北区"},
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{"parent_id": "D896", "children": [], "type": "A", "id": "A3394", "name": "化龙桥/重庆天地"},
{"parent_id": "D896", "children": [], "type": "A", "id": "A3023", "name": "大礼堂"},
{"parent_id": "D896", "children": [], "type": "A", "id": "A3998", "name": "较场口"},
{"parent_id": "D896", "children": [], "type": "A", "id": "A2022", "name": "长滨路"},
{"parent_id": "D896", "children": [], "type": "A", "id": "A3715", "name": "解放碑"},
{"parent_id": "D896", "children": [], "type": "A", "id": "A354", "name": "上清寺"},
{"parent_id": "D896", "children": [], "type": "A", "id": "A4453", "name": "两路口"},
{"parent_id": "D896", "children": [], "type": "A", "id": "A1092", "name": "菜园坝"},
{"parent_id": "D896", "children": [], "type": "A", "id": "A2588", "name": "大坪"},
{"parent_id": "D896", "children": [], "type": "A", "id": "A135", "name": "七星岗"},
{"parent_id": "D896", "children": [], "type": "A", "id": "A547", "name": "朝天门"}], "type": "D", "id": "D896", "name": "渝中区"},
{"parent_id": "C295", "children": [
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{"parent_id": "D895", "children": [], "type": "A", "id": "A3393", "name": "龙头寺"},
{"parent_id": "D895", "children": [], "type": "A", "id": "A3022", "name": "龙溪"},
{"parent_id": "D895", "children": [], "type": "A", "id": "A3997", "name": "冉家坝"},
{"parent_id": "D895", "children": [], "type": "A", "id": "A2021", "name": "黄泥塝"},
{"parent_id": "D895", "children": [], "type": "A", "id": "A3714", "name": "汽博中心"},
{"parent_id": "D895", "children": [], "type": "A", "id": "A1091", "name": "大竹林"},
{"parent_id": "D895", "children": [], "type": "A", "id": "A2587", "name": "两路"},
{"parent_id": "D895", "children": [], "type": "A", "id": "A4452", "name": "新牌坊/龙湖"}], "type": "D", "id": "D895", "name": "渝北区"},
{"parent_id": "C295", "children": [
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{"parent_id": "D894", "children": [], "type": "A", "id": "A3996", "name": "天星桥"},
{"parent_id": "D894", "children": [], "type": "A", "id": "A3392", "name": "烈士墓"},
{"parent_id": "D894", "children": [], "type": "A", "id": "A3021", "name": "歌乐山"},
{"parent_id": "D894", "children": [], "type": "A", "id": "A3713", "name": "三峡广场"},
{"parent_id": "D894", "children": [], "type": "A", "id": "A2020", "name": "磁器口"},
{"parent_id": "D894", "children": [], "type": "A", "id": "A1090", "name": "重庆大学"},
{"parent_id": "D894", "children": [], "type": "A", "id": "A2586", "name": "大学城"}], "type": "D", "id": "D894", "name": "沙坪坝区"},
{"parent_id": "C295", "children": [
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{"parent_id": "D892", "children": [], "type": "A", "id": "A3994", "name": "谢家湾"},
{"parent_id": "D892", "children": [], "type": "A", "id": "A3390", "name": "开发区"},
{"parent_id": "D892", "children": [], "type": "A", "id": "A4450", "name": "袁家岗"},
{"parent_id": "D892", "children": [], "type": "A", "id": "A2584", "name": "动物园"},
{"parent_id": "D892", "children": [], "type": "A", "id": "A3019", "name": "黄桷坪"},
{"parent_id": "D892", "children": [], "type": "A", "id": "A3711", "name": "石桥铺"},
{"parent_id": "D892", "children": [], "type": "A", "id": "A2018", "name": "陈家坪"},
{"parent_id": "D892", "children": [], "type": "A", "id": "A1088", "name": "巴国城"}], "type": "D", "id": "D892", "name": "九龙坡区"},
{"parent_id": "C295", "children": [], "type": "D", "id": "D190", "name": "义县"},
{"parent_id": "C295", "children": [
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{"parent_id": "D888", "children": [], "type": "A", "id": "A2015", "name": "老城区/天奇广场"},
{"parent_id": "D888", "children": [], "type": "A", "id": "A1084", "name": "城北"}], "type": "D", "id": "D888", "name": "北碚区"},
{"parent_id": "C295", "children": [
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{"parent_id": "C295", "children": [], "type": "D", "id": "D887", "name": "巴南区"},
{"parent_id": "C295", "children": [
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{"parent_id": "D189", "children": [], "type": "A", "id": "A2308", "name": "典逸心洲"},
{"parent_id": "D189", "children": [], "type": "A", "id": "A424", "name": "渤海大学"}], "type": "D", "id": "D189", "name": "太和区"},
{"parent_id": "C295", "children": [
{"parent_id": "D188", "children": [], "type": "A", "id": "A1643", "name": "宝地曼哈顿"},
{"parent_id": "D188", "children": [], "type": "A", "id": "A2307", "name": "市府广场"},
{"parent_id": "D188", "children": [], "type": "A", "id": "A423", "name": "锦绣天第"}], "type": "D", "id": "D188", "name": "松山新区"},
{"parent_id": "C295", "children": [
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{"parent_id": "D183", "children": [], "type": "A", "id": "A1641", "name": "辽工"},
{"parent_id": "D183", "children": [], "type": "A", "id": "A2780", "name": "化工学校"},
{"parent_id": "D183", "children": [], "type": "A", "id": "A3188", "name": "红星楼"},
{"parent_id": "D183", "children": [], "type": "A", "id": "A2305", "name": "人民街金陵"},
{"parent_id": "D183", "children": [], "type": "A", "id": "A4105", "name": "西安街蔬菜市场"},
{"parent_id": "D183", "children": [], "type": "A", "id": "A3534", "name": "医学院"},
{"parent_id": "D183", "children": [], "type": "A", "id": "A421", "name": "大润发"}], "type": "D", "id": "D183", "name": "古塔区"},
{"parent_id": "C295", "children": [], "type": "D", "id": "D182", "name": "北镇市"},
{"parent_id": "C295", "children": [], "type": "D", "id": "D185", "name": "经济开发区"},
{"parent_id": "C295", "children": [], "type": "D", "id": "D184", "name": "黑山县"},
{"parent_id": "C295", "children": [
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{"parent_id": "D187", "children": [], "type": "A", "id": "A4335", "name": "中央大街三角地"},
{"parent_id": "D187", "children": [], "type": "A", "id": "A2781", "name": "百货大楼"},
{"parent_id": "D187", "children": [], "type": "A", "id": "A3840", "name": "啤酒厂"},
{"parent_id": "D187", "children": [], "type": "A", "id": "A3189", "name": "火车站"},
{"parent_id": "D187", "children": [], "type": "A", "id": "A2306", "name": "大商B座"},
{"parent_id": "D187", "children": [], "type": "A", "id": "A464", "name": "家乐汇"},
{"parent_id": "D187", "children": [], "type": "A", "id": "A4106", "name": "白楼"},
{"parent_id": "D187", "children": [], "type": "A", "id": "A3535", "name": "五里"},
{"parent_id": "D187", "children": [], "type": "A", "id": "A422", "name": "马家"},
{"parent_id": "D187", "children": [], "type": "A", "id": "A31", "name": "千盛广场"},
{"parent_id": "D187", "children": [], "type": "A", "id": "A223", "name": "北湖公园"}], "type": "D", "id": "D187", "name": "凌河区"},
{"parent_id": "C295", "children": [], "type": "D", "id": "D186", "name": "凌海市"}], "type": "C", "id": "C295", "name": "重庆"}], "type": "P", "id": "P15", "name": "重庆"},
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{"parent_id": "D1019", "children": [], "type": "A", "id": "A2107", "name": "电子路"},
{"parent_id": "D1019", "children": [], "type": "A", "id": "A4034", "name": "天缘路"},
{"parent_id": "D1019", "children": [], "type": "A", "id": "A4275", "name": "新城市广场"},
{"parent_id": "D1019", "children": [], "type": "A", "id": "A2647", "name": "桂湖"},
{"parent_id": "D1019", "children": [], "type": "A", "id": "A3075", "name": "静安路"},
{"parent_id": "D1019", "children": [], "type": "A", "id": "A1242", "name": "大丰"},
{"parent_id": "D1019", "children": [], "type": "A", "id": "A3753", "name": "蜀龙大道中段"}], "type": "D", "id": "D1019", "name": "新都区"},
{"parent_id": "C375", "children": [
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{"parent_id": "D1018", "children": [], "type": "A", "id": "A1381", "name": "倪家桥"},
{"parent_id": "D1018", "children": [], "type": "A", "id": "A3440", "name": "高棚大道"},
{"parent_id": "D1018", "children": [], "type": "A", "id": "A2106", "name": "玉林"},
{"parent_id": "D1018", "children": [], "type": "A", "id": "A823", "name": "科华路王府井"},
{"parent_id": "D1018", "children": [], "type": "A", "id": "A4476", "name": "华西坝"},
{"parent_id": "D1018", "children": [], "type": "A", "id": "A374", "name": "九茹村"},
{"parent_id": "D1018", "children": [], "type": "A", "id": "A4033", "name": "红瓦寺"},
{"parent_id": "D1018", "children": [], "type": "A", "id": "A1845", "name": "外双楠"},
{"parent_id": "D1018", "children": [], "type": "A", "id": "A2171", "name": "小南街"},
{"parent_id": "D1018", "children": [], "type": "A", "id": "A2137", "name": "新南门"},
{"parent_id": "D1018", "children": [], "type": "A", "id": "A4274", "name": "火车南站"},
{"parent_id": "D1018", "children": [], "type": "A", "id": "A1487", "name": "耍都"},
{"parent_id": "D1018", "children": [], "type": "A", "id": "A564", "name": "科华北路"},
{"parent_id": "D1018", "children": [], "type": "A", "id": "A1691", "name": "桐梓林"},
{"parent_id": "D1018", "children": [], "type": "A", "id": "A156", "name": "航空路"},
{"parent_id": "D1018", "children": [], "type": "A", "id": "A2646", "name": "大石路"},
{"parent_id": "D1018", "children": [], "type": "A", "id": "A1522", "name": "省体育馆"},
{"parent_id": "D1018", "children": [], "type": "A", "id": "A2014", "name": "武侯祠"},
{"parent_id": "D1018", "children": [], "type": "A", "id": "A3074", "name": "高升桥"},
{"parent_id": "D1018", "children": [], "type": "A", "id": "A1311", "name": "磨子桥"},
{"parent_id": "D1018", "children": [], "type": "A", "id": "A1241", "name": "簇桥"},
{"parent_id": "D1018", "children": [], "type": "A", "id": "A2077", "name": "五大花园"},
{"parent_id": "D1018", "children": [], "type": "A", "id": "A3752", "name": "红牌楼"},
{"parent_id": "D1018", "children": [], "type": "A", "id": "A1206", "name": "鹭岛国际"},
{"parent_id": "D1018", "children": [], "type": "A", "id": "A1432", "name": "双楠"},
{"parent_id": "D1018", "children": [], "type": "A", "id": "A1083", "name": "龙腾路"}], "type": "D", "id": "D1018", "name": "武侯区"},
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{"parent_id": "D1011", "children": [], "type": "A", "id": "A2100", "name": "北门大桥"},
{"parent_id": "D1011", "children": [], "type": "A", "id": "A1689", "name": "营门口"},
{"parent_id": "D1011", "children": [], "type": "A", "id": "A1309", "name": "蜀汉路"},
{"parent_id": "D1011", "children": [], "type": "A", "id": "A3749", "name": "花牌坊"},
{"parent_id": "D1011", "children": [], "type": "A", "id": "A821", "name": "驷马桥"},
{"parent_id": "D1011", "children": [], "type": "A", "id": "A4474", "name": "金牛万达广场"},
{"parent_id": "D1011", "children": [], "type": "A", "id": "A372", "name": "李家沱"},
{"parent_id": "D1011", "children": [], "type": "A", "id": "A4030", "name": "欢乐谷"},
{"parent_id": "D1011", "children": [], "type": "A", "id": "A1843", "name": "一品天下"},
{"parent_id": "D1011", "children": [], "type": "A", "id": "A1235", "name": "北较场"},
{"parent_id": "D1011", "children": [], "type": "A", "id": "A1379", "name": "沙湾"},
{"parent_id": "D1011", "children": [], "type": "A", "id": "A4272", "name": "火车北站"},
{"parent_id": "D1011", "children": [], "type": "A", "id": "A1485", "name": "五块石"},
{"parent_id": "D1011", "children": [], "type": "A", "id": "A562", "name": "梁家巷"},
{"parent_id": "D1011", "children": [], "type": "A", "id": "A154", "name": "凯德广场·金牛"},
{"parent_id": "D1011", "children": [], "type": "A", "id": "A2642", "name": "茶店子"},
{"parent_id": "D1011", "children": [], "type": "A", "id": "A1520", "name": "西南交大"},
{"parent_id": "D1011", "children": [], "type": "A", "id": "A2013", "name": "羊西线"},
{"parent_id": "D1011", "children": [], "type": "A", "id": "A3070", "name": "抚琴"},
{"parent_id": "D1011", "children": [], "type": "A", "id": "A2076", "name": "中海国际"},
{"parent_id": "D1011", "children": [], "type": "A", "id": "A1204", "name": "人民北路"},
{"parent_id": "D1011", "children": [], "type": "A", "id": "A1430", "name": "同盛路"},
{"parent_id": "D1011", "children": [], "type": "A", "id": "A1081", "name": "马家花园"},
{"parent_id": "D1011", "children": [], "type": "A", "id": "A3436", "name": "高笋塘"}], "type": "D", "id": "D1011", "name": "金牛区"},
{"parent_id": "C375", "children": [
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{"parent_id": "D1010", "children": [], "type": "A", "id": "A3069", "name": "金堂县"},
{"parent_id": "D1010", "children": [], "type": "A", "id": "A1234", "name": "崇州市"},
{"parent_id": "D1010", "children": [], "type": "A", "id": "A4271", "name": "新津县"},
{"parent_id": "D1010", "children": [], "type": "A", "id": "A2099", "name": "都江堰市"},
{"parent_id": "D1010", "children": [], "type": "A", "id": "A3435", "name": "彭州市"},
{"parent_id": "D1010", "children": [], "type": "A", "id": "A2641", "name": "大邑县"},
{"parent_id": "D1010", "children": [], "type": "A", "id": "A4029", "name": "邛崃市"}], "type": "D", "id": "D1010", "name": "近郊"},
{"parent_id": "C375", "children": [
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{"parent_id": "D1013", "children": [], "type": "A", "id": "A1237", "name": "高新西区"},
{"parent_id": "D1013", "children": [], "type": "A", "id": "A2643", "name": "郫筒"},
{"parent_id": "D1013", "children": [], "type": "A", "id": "A3071", "name": "团结"},
{"parent_id": "D1013", "children": [], "type": "A", "id": "A3437", "name": "犀浦"}], "type": "D", "id": "D1013", "name": "郫县"},
{"parent_id": "C375", "children": [
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{"parent_id": "D1012", "children": [], "type": "A", "id": "A1236", "name": "龙都南路"}], "type": "D", "id": "D1012", "name": "龙泉驿区"},
{"parent_id": "C375", "children": [
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{"parent_id": "D1015", "children": [], "type": "A", "id": "A1380", "name": "仁和春天"},
{"parent_id": "D1015", "children": [], "type": "A", "id": "A2103", "name": "草市街"},
{"parent_id": "D1015", "children": [], "type": "A", "id": "A822", "name": "清江西路"},
{"parent_id": "D1015", "children": [], "type": "A", "id": "A4475", "name": "宽窄巷子"},
{"parent_id": "D1015", "children": [], "type": "A", "id": "A373", "name": "青羊宫"},
{"parent_id": "D1015", "children": [], "type": "A", "id": "A4031", "name": "光华村"},
{"parent_id": "D1015", "children": [], "type": "A", "id": "A1844", "name": "优品道"},
{"parent_id": "D1015", "children": [], "type": "A", "id": "A1238", "name": "八宝街"},
{"parent_id": "D1015", "children": [], "type": "A", "id": "A4273", "name": "金沙遗址"},
{"parent_id": "D1015", "children": [], "type": "A", "id": "A1486", "name": "顺城大街"},
{"parent_id": "D1015", "children": [], "type": "A", "id": "A563", "name": "清江东路"},
{"parent_id": "D1015", "children": [], "type": "A", "id": "A3750", "name": "府南新区"},
{"parent_id": "D1015", "children": [], "type": "A", "id": "A3438", "name": "杜甫草堂"},
{"parent_id": "D1015", "children": [], "type": "A", "id": "A1690", "name": "文殊院"},
{"parent_id": "D1015", "children": [], "type": "A", "id": "A155", "name": "骡马市"},
{"parent_id": "D1015", "children": [], "type": "A", "id": "A2644", "name": "成温立交"},
{"parent_id": "D1015", "children": [], "type": "A", "id": "A1521", "name": "太升路"},
{"parent_id": "D1015", "children": [], "type": "A", "id": "A3072", "name": "成飞大道"},
{"parent_id": "D1015", "children": [], "type": "A", "id": "A1310", "name": "清水河公园"},
{"parent_id": "D1015", "children": [], "type": "A", "id": "A1205", "name": "青龙街"},
{"parent_id": "D1015", "children": [], "type": "A", "id": "A1431", "name": "人民公园"},
{"parent_id": "D1015", "children": [], "type": "A", "id": "A1082", "name": "琴台"}], "type": "D", "id": "D1015", "name": "青羊区"},
{"parent_id": "C375", "children": [], "type": "D", "id": "D1014", "name": "青白江区"},
{"parent_id": "C375", "children": [
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{"parent_id": "D1017", "children": [], "type": "A", "id": "A1240", "name": "城市公园"}], "type": "D", "id": "D1017", "name": "温江区"},
{"parent_id": "C375", "children": [
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{"parent_id": "D1016", "children": [], "type": "A", "id": "A4032", "name": "双流机场"},
{"parent_id": "D1016", "children": [], "type": "A", "id": "A1239", "name": "奥特莱斯"},
{"parent_id": "D1016", "children": [], "type": "A", "id": "A3439", "name": "戛纳湾"},
{"parent_id": "D1016", "children": [], "type": "A", "id": "A2645", "name": "伏龙小区"},
{"parent_id": "D1016", "children": [], "type": "A", "id": "A3073", "name": "华阳"},
{"parent_id": "D1016", "children": [], "type": "A", "id": "A3751", "name": "蛟龙港"}], "type": "D", "id": "D1016", "name": "双流县"},
{"parent_id": "C375", "children": [
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{"parent_id": "D1008", "children": [], "type": "A", "id": "A2639", "name": "九方购物中心"},
{"parent_id": "D1008", "children": [], "type": "A", "id": "A4472", "name": "紫荆"},
{"parent_id": "D1008", "children": [], "type": "A", "id": "A3067", "name": "神仙树"},
{"parent_id": "D1008", "children": [], "type": "A", "id": "A4269", "name": "肖家河"},
{"parent_id": "D1008", "children": [], "type": "A", "id": "A1232", "name": "孵化园"},
{"parent_id": "D1008", "children": [], "type": "A", "id": "A2097", "name": "芳草街"},
{"parent_id": "D1008", "children": [], "type": "A", "id": "A3433", "name": "天府二街"},
{"parent_id": "D1008", "children": [], "type": "A", "id": "A152", "name": "中和"},
{"parent_id": "D1008", "children": [], "type": "A", "id": "A4027", "name": "新会展中心"}], "type": "D", "id": "D1008", "name": "高新区"},
{"parent_id": "C375", "children": [
{"parent_id": "D1009", "children": [], "type": "A", "id": "A1606", "name": "三圣乡"},
{"parent_id": "D1009", "children": [], "type": "A", "id": "A1688", "name": "四川师大"},
{"parent_id": "D1009", "children": [], "type": "A", "id": "A1308", "name": "莲桂南路"},
{"parent_id": "D1009", "children": [], "type": "A", "id": "A1519", "name": "仁恒置地"},
{"parent_id": "D1009", "children": [], "type": "A", "id": "A2188", "name": "盐市口"},
{"parent_id": "D1009", "children": [], "type": "A", "id": "A820", "name": "静居寺"},
{"parent_id": "D1009", "children": [], "type": "A", "id": "A4473", "name": "河滨路"},
{"parent_id": "D1009", "children": [], "type": "A", "id": "A3068", "name": "东大街"},
{"parent_id": "D1009", "children": [], "type": "A", "id": "A2210", "name": "远东百货"},
{"parent_id": "D1009", "children": [], "type": "A", "id": "A2218", "name": "总府路"},
{"parent_id": "D1009", "children": [], "type": "A", "id": "A371", "name": "合江亭"},
{"parent_id": "D1009", "children": [], "type": "A", "id": "A1429", "name": "牛王庙"},
{"parent_id": "D1009", "children": [], "type": "A", "id": "A1842", "name": "水碾河"},
{"parent_id": "D1009", "children": [], "type": "A", "id": "A2170", "name": "香槟广场"},
{"parent_id": "D1009", "children": [], "type": "A", "id": "A1233", "name": "滨江路"},
{"parent_id": "D1009", "children": [], "type": "A", "id": "A1378", "name": "兰桂坊"},
{"parent_id": "D1009", "children": [], "type": "A", "id": "A2136", "name": "万达广场"},
{"parent_id": "D1009", "children": [], "type": "A", "id": "A4270", "name": "红星路四段"},
{"parent_id": "D1009", "children": [], "type": "A", "id": "A1484", "name": "牛市口"},
{"parent_id": "D1009", "children": [], "type": "A", "id": "A561", "name": "九眼桥"},
{"parent_id": "D1009", "children": [], "type": "A", "id": "A2098", "name": "春熙路"},
{"parent_id": "D1009", "children": [], "type": "A", "id": "A3434", "name": "东光小区"},
{"parent_id": "D1009", "children": [], "type": "A", "id": "A153", "name": "洪河大道"},
{"parent_id": "D1009", "children": [], "type": "A", "id": "A2640", "name": "财富中心"},
{"parent_id": "D1009", "children": [], "type": "A", "id": "A3747", "name": "海椒市"},
{"parent_id": "D1009", "children": [], "type": "A", "id": "A2012", "name": "书院街"},
{"parent_id": "D1009", "children": [], "type": "A", "id": "A2075", "name": "塔子山公园"},
{"parent_id": "D1009", "children": [], "type": "A", "id": "A4028", "name": "红星路"},
{"parent_id": "D1009", "children": [], "type": "A", "id": "A1203", "name": "琉璃场"},
{"parent_id": "D1009", "children": [], "type": "A", "id": "A1080", "name": "锦江宾馆"}], "type": "D", "id": "D1009", "name": "锦江区"},
{"parent_id": "C375", "children": [
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{"parent_id": "D1007", "children": [], "type": "A", "id": "A2638", "name": "东郊记忆"},
{"parent_id": "D1007", "children": [], "type": "A", "id": "A4471", "name": "SM广场"},
{"parent_id": "D1007", "children": [], "type": "A", "id": "A3066", "name": "欢乐颂"},
{"parent_id": "D1007", "children": [], "type": "A", "id": "A1079", "name": "新华公园"},
{"parent_id": "D1007", "children": [], "type": "A", "id": "A4268", "name": "龙潭寺"},
{"parent_id": "D1007", "children": [], "type": "A", "id": "A370", "name": "双林路"},
{"parent_id": "D1007", "children": [], "type": "A", "id": "A1231", "name": "八里庄"},
{"parent_id": "D1007", "children": [], "type": "A", "id": "A560", "name": "万象城"},
{"parent_id": "D1007", "children": [], "type": "A", "id": "A2096", "name": "财富又一城"},
{"parent_id": "D1007", "children": [], "type": "A", "id": "A819", "name": "望平街"},
{"parent_id": "D1007", "children": [], "type": "A", "id": "A151", "name": "十里店"},
{"parent_id": "D1007", "children": [], "type": "A", "id": "A4026", "name": "龙湖三千集"},
{"parent_id": "D1007", "children": [], "type": "A", "id": "A3432", "name": "建设路"}], "type": "D", "id": "D1007", "name": "成华区"}], "type": "C", "id": "C375", "name": "成都"},
{"parent_id": "P16", "children": [], "type": "C", "id": "C319", "name": "绵阳"},
{"parent_id": "P16", "children": [], "type": "C", "id": "C318", "name": "德阳"},
{"parent_id": "P16", "children": [], "type": "C", "id": "C315", "name": "自贡"},
{"parent_id": "P16", "children": [], "type": "C", "id": "C317", "name": "泸州"},
{"parent_id": "P16", "children": [], "type": "C", "id": "C316", "name": "攀枝花"},
{"parent_id": "P16", "children": [], "type": "C", "id": "C332", "name": "阿坝"},
{"parent_id": "P16", "children": [], "type": "C", "id": "C331", "name": "资阳"},
{"parent_id": "P16", "children": [], "type": "C", "id": "C330", "name": "巴中"},
{"parent_id": "P16", "children": [], "type": "C", "id": "C336", "name": "九寨沟"},
{"parent_id": "P16", "children": [], "type": "C", "id": "C335", "name": "峨眉山"},
{"parent_id": "P16", "children": [], "type": "C", "id": "C334", "name": "凉山"},
{"parent_id": "P16", "children": [], "type": "C", "id": "C333", "name": "甘孜"},
{"parent_id": "P16", "children": [], "type": "C", "id": "C320", "name": "广元"},
{"parent_id": "P16", "children": [], "type": "C", "id": "C321", "name": "遂宁"},
{"parent_id": "P16", "children": [], "type": "C", "id": "C322", "name": "内江"},
{"parent_id": "P16", "children": [
{"parent_id": "C323", "children": [], "type": "D", "id": "D945", "name": "沙湾区"},
{"parent_id": "C323", "children": [], "type": "D", "id": "D947", "name": "五通桥区"},
{"parent_id": "C323", "children": [
{"parent_id": "D946", "children": [], "type": "A", "id": "A1604", "name": "梅西百货"},
{"parent_id": "D946", "children": [], "type": "A", "id": "A553", "name": "阳光广场"},
{"parent_id": "D946", "children": [], "type": "A", "id": "A4460", "name": "房屋管理中心"},
{"parent_id": "D946", "children": [], "type": "A", "id": "A4254", "name": "嘉兴路美食街"},
{"parent_id": "D946", "children": [], "type": "A", "id": "A1126", "name": "滨江路/王浩儿街"},
{"parent_id": "D946", "children": [], "type": "A", "id": "A3407", "name": "翡翠国际"},
{"parent_id": "D946", "children": [], "type": "A", "id": "A1686", "name": "青果山"},
{"parent_id": "D946", "children": [], "type": "A", "id": "A142", "name": "乐山中心汽车站"},
{"parent_id": "D946", "children": [], "type": "A", "id": "A1304", "name": "肖坝"},
{"parent_id": "D946", "children": [], "type": "A", "id": "A1517", "name": "市体育中心"},
{"parent_id": "D946", "children": [], "type": "A", "id": "A3726", "name": "乐山大佛景区"},
{"parent_id": "D946", "children": [], "type": "A", "id": "A2040", "name": "财富广场/沃尔玛"},
{"parent_id": "D946", "children": [], "type": "A", "id": "A1075", "name": "岷江二桥"},
{"parent_id": "D946", "children": [], "type": "A", "id": "A1426", "name": "长江市场"},
{"parent_id": "D946", "children": [], "type": "A", "id": "A3038", "name": "乐山师范学院"},
{"parent_id": "D946", "children": [], "type": "A", "id": "A1840", "name": "竹公溪街"},
{"parent_id": "D946", "children": [], "type": "A", "id": "A2604", "name": "沫若广场"},
{"parent_id": "D946", "children": [], "type": "A", "id": "A1374", "name": "通江"},
{"parent_id": "D946", "children": [], "type": "A", "id": "A2134", "name": "高新技术区"},
{"parent_id": "D946", "children": [], "type": "A", "id": "A1482", "name": "乐山新广场"},
{"parent_id": "D946", "children": [], "type": "A", "id": "A1199", "name": "电信广场"},
{"parent_id": "D946", "children": [], "type": "A", "id": "A2010", "name": "人人乐百货"},
{"parent_id": "D946", "children": [], "type": "A", "id": "A363", "name": "盘龙银座/西城国际"},
{"parent_id": "D946", "children": [], "type": "A", "id": "A2073", "name": "张公桥"},
{"parent_id": "D946", "children": [], "type": "A", "id": "A812", "name": "岷江一桥"},
{"parent_id": "D946", "children": [], "type": "A", "id": "A4009", "name": "联运站/莱佛士帝景"}], "type": "D", "id": "D946", "name": "市中区"},
{"parent_id": "C323", "children": [], "type": "D", "id": "D943", "name": "井研县"},
{"parent_id": "C323", "children": [], "type": "D", "id": "D944", "name": "犍为县"},
{"parent_id": "C323", "children": [], "type": "D", "id": "D942", "name": "夹江县"},
{"parent_id": "C323", "children": [], "type": "D", "id": "D940", "name": "峨边彝族自治县"},
{"parent_id": "C323", "children": [
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{"parent_id": "D941", "children": [], "type": "A", "id": "A1125", "name": "绥山镇"},
{"parent_id": "D941", "children": [], "type": "A", "id": "A3406", "name": "象城"},
{"parent_id": "D941", "children": [], "type": "A", "id": "A3725", "name": "报国寺风景区"},
{"parent_id": "D941", "children": [], "type": "A", "id": "A2603", "name": "峨眉院子/峨秀湖度假区"},
{"parent_id": "D941", "children": [], "type": "A", "id": "A3037", "name": "大佛禅院"},
{"parent_id": "D941", "children": [], "type": "A", "id": "A2039", "name": "峨眉山旅游风景区"},
{"parent_id": "D941", "children": [], "type": "A", "id": "A4008", "name": "汽车站/火车站"}], "type": "D", "id": "D941", "name": "峨眉山市"}], "type": "C", "id": "C323", "name": "乐山"},
{"parent_id": "P16", "children": [], "type": "C", "id": "C324", "name": "南充"},
{"parent_id": "P16", "children": [], "type": "C", "id": "C325", "name": "眉山"},
{"parent_id": "P16", "children": [], "type": "C", "id": "C326", "name": "宜宾"},
{"parent_id": "P16", "children": [], "type": "C", "id": "C327", "name": "广安"},
{"parent_id": "P16", "children": [], "type": "C", "id": "C328", "name": "达州"},
{"parent_id": "P16", "children": [], "type": "C", "id": "C329", "name": "雅安"}], "type": "P", "id": "P16", "name": "四川"},
{"parent_id": "N1", "children": [
{"parent_id": "P17", "children": [], "type": "C", "id": "C342", "name": "黔西南"},
{"parent_id": "P17", "children": [], "type": "C", "id": "C343", "name": "毕节"},
{"parent_id": "P17", "children": [], "type": "C", "id": "C340", "name": "安顺"},
{"parent_id": "P17", "children": [], "type": "C", "id": "C341", "name": "铜仁"},
{"parent_id": "P17", "children": [], "type": "C", "id": "C346", "name": "凯里"},
{"parent_id": "P17", "children": [], "type": "C", "id": "C347", "name": "仁怀"},
{"parent_id": "P17", "children": [], "type": "C", "id": "C344", "name": "黔东南"},
{"parent_id": "P17", "children": [], "type": "C", "id": "C345", "name": "黔南"},
{"parent_id": "P17", "children": [
{"parent_id": "C339", "children": [
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{"parent_id": "D958", "children": [], "type": "A", "id": "A146", "name": "外环路"},
{"parent_id": "D958", "children": [], "type": "A", "id": "A1307", "name": "解放路"},
{"parent_id": "D958", "children": [], "type": "A", "id": "A3047", "name": "大兴路"},
{"parent_id": "D958", "children": [], "type": "A", "id": "A4464", "name": "东欣大道"},
{"parent_id": "D958", "children": [], "type": "A", "id": "A1078", "name": "新华路"},
{"parent_id": "D958", "children": [], "type": "A", "id": "A2614", "name": "碧云路"},
{"parent_id": "D958", "children": [], "type": "A", "id": "A4014", "name": "官井"},
{"parent_id": "D958", "children": [], "type": "A", "id": "A4258", "name": "洗马路"},
{"parent_id": "D958", "children": [], "type": "A", "id": "A1377", "name": "合众路"},
{"parent_id": "D958", "children": [], "type": "A", "id": "A3414", "name": "白杨洞"},
{"parent_id": "D958", "children": [], "type": "A", "id": "A815", "name": "中华路"},
{"parent_id": "D958", "children": [], "type": "A", "id": "A1145", "name": "丁字口"},
{"parent_id": "D958", "children": [], "type": "A", "id": "A3731", "name": "沿江路"},
{"parent_id": "D958", "children": [], "type": "A", "id": "A2053", "name": "万里路"},
{"parent_id": "D958", "children": [], "type": "A", "id": "A366", "name": "老城区"},
{"parent_id": "D958", "children": [], "type": "A", "id": "A1202", "name": "杨柳街"}], "type": "D", "id": "D958", "name": "红花岗区"},
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{"parent_id": "D959", "children": [], "type": "A", "id": "A147", "name": "苏州路"},
{"parent_id": "D959", "children": [], "type": "A", "id": "A3048", "name": "香港路"},
{"parent_id": "D959", "children": [], "type": "A", "id": "A2615", "name": "上海路"},
{"parent_id": "D959", "children": [], "type": "A", "id": "A4015", "name": "深圳路"},
{"parent_id": "D959", "children": [], "type": "A", "id": "A4465", "name": "北海路"},
{"parent_id": "D959", "children": [], "type": "A", "id": "A4259", "name": "天津路"},
{"parent_id": "D959", "children": [], "type": "A", "id": "A3415", "name": "珠海路"},
{"parent_id": "D959", "children": [], "type": "A", "id": "A816", "name": "北京路"},
{"parent_id": "D959", "children": [], "type": "A", "id": "A3732", "name": "广州路"},
{"parent_id": "D959", "children": [], "type": "A", "id": "A2054", "name": "人民路"},
{"parent_id": "D959", "children": [], "type": "A", "id": "A367", "name": "南京路"},
{"parent_id": "D959", "children": [], "type": "A", "id": "A1146", "name": "宁波路"}], "type": "D", "id": "D959", "name": "汇川区"},
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{"parent_id": "C339", "children": [], "type": "D", "id": "D965", "name": "遵义县"},
{"parent_id": "C339", "children": [], "type": "D", "id": "D964", "name": "正安县"},
{"parent_id": "C339", "children": [], "type": "D", "id": "D963", "name": "桐梓县"},
{"parent_id": "C339", "children": [], "type": "D", "id": "D962", "name": "绥阳县"},
{"parent_id": "C339", "children": [], "type": "D", "id": "D961", "name": "仁怀市"},
{"parent_id": "C339", "children": [], "type": "D", "id": "D956", "name": "赤水市"},
{"parent_id": "C339", "children": [], "type": "D", "id": "D957", "name": "凤冈县"}], "type": "C", "id": "C339", "name": "遵义"},
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{"parent_id": "P17", "children": [
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{"parent_id": "D948", "children": [], "type": "A", "id": "A1137", "name": "白云南路"}], "type": "D", "id": "D948", "name": "白云区"},
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{"parent_id": "D953", "children": [], "type": "A", "id": "A2611", "name": "火炬大道"},
{"parent_id": "D953", "children": [], "type": "A", "id": "A3411", "name": "新添寨"},
{"parent_id": "D953", "children": [], "type": "A", "id": "A2050", "name": "东风镇"},
{"parent_id": "D953", "children": [], "type": "A", "id": "A1142", "name": "保利温泉新城"}], "type": "D", "id": "D953", "name": "乌当区"},
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{"parent_id": "D954", "children": [], "type": "A", "id": "A3045", "name": "黔江路"},
{"parent_id": "D954", "children": [], "type": "A", "id": "A3412", "name": "珠江路"},
{"parent_id": "D954", "children": [], "type": "A", "id": "A2051", "name": "海纳广场"},
{"parent_id": "D954", "children": [], "type": "A", "id": "A1143", "name": "黄河路"}], "type": "D", "id": "D954", "name": "小河区"},
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{"parent_id": "D955", "children": [], "type": "A", "id": "A4257", "name": "富水北路"},
{"parent_id": "D955", "children": [], "type": "A", "id": "A1687", "name": "三桥"},
{"parent_id": "D955", "children": [], "type": "A", "id": "A2330", "name": "紫林庵"},
{"parent_id": "D955", "children": [], "type": "A", "id": "A145", "name": "公园路"},
{"parent_id": "D955", "children": [], "type": "A", "id": "A1306", "name": "煤矿村"},
{"parent_id": "D955", "children": [], "type": "A", "id": "A555", "name": "恒峰步行街"},
{"parent_id": "D955", "children": [], "type": "A", "id": "A2187", "name": "云岩广场"},
{"parent_id": "D955", "children": [], "type": "A", "id": "A2613", "name": "八角岩路"},
{"parent_id": "D955", "children": [], "type": "A", "id": "A3046", "name": "大十字"},
{"parent_id": "D955", "children": [], "type": "A", "id": "A2217", "name": "延安西路（老客车站）"},
{"parent_id": "D955", "children": [], "type": "A", "id": "A4463", "name": "飞山街"},
{"parent_id": "D955", "children": [], "type": "A", "id": "A2273", "name": "友谊路"},
{"parent_id": "D955", "children": [], "type": "A", "id": "A1077", "name": "花香村"},
{"parent_id": "D955", "children": [], "type": "A", "id": "A4013", "name": "二桥"},
{"parent_id": "D955", "children": [], "type": "A", "id": "A1841", "name": "浣沙路"},
{"parent_id": "D955", "children": [], "type": "A", "id": "A1376", "name": "喷水池"},
{"parent_id": "D955", "children": [], "type": "A", "id": "A2135", "name": "威清路"},
{"parent_id": "D955", "children": [], "type": "A", "id": "A1428", "name": "黔灵公园"},
{"parent_id": "D955", "children": [], "type": "A", "id": "A2448", "name": "中山东路"},
{"parent_id": "D955", "children": [], "type": "A", "id": "A1483", "name": "师大"},
{"parent_id": "D955", "children": [], "type": "A", "id": "A3413", "name": "大营坡"},
{"parent_id": "D955", "children": [], "type": "A", "id": "A814", "name": "红边门"},
{"parent_id": "D955", "children": [], "type": "A", "id": "A3730", "name": "大营路"},
{"parent_id": "D955", "children": [], "type": "A", "id": "A1518", "name": "陕西路"},
{"parent_id": "D955", "children": [], "type": "A", "id": "A2011", "name": "头桥"},
{"parent_id": "D955", "children": [], "type": "A", "id": "A2209", "name": "盐务街"},
{"parent_id": "D955", "children": [], "type": "A", "id": "A2052", "name": "宝山北路"},
{"parent_id": "D955", "children": [], "type": "A", "id": "A365", "name": "贵开路"},
{"parent_id": "D955", "children": [], "type": "A", "id": "A2074", "name": "文昌北路"},
{"parent_id": "D955", "children": [], "type": "A", "id": "A1144", "name": "北京路"},
{"parent_id": "D955", "children": [], "type": "A", "id": "A1201", "name": "六广门"},
{"parent_id": "D955", "children": [], "type": "A", "id": "A2169", "name": "小十字"}], "type": "D", "id": "D955", "name": "云岩区"},
{"parent_id": "C337", "children": [
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{"parent_id": "D949", "children": [], "type": "A", "id": "A4255", "name": "徐家冲"},
{"parent_id": "D949", "children": [], "type": "A", "id": "A3408", "name": "农院"},
{"parent_id": "D949", "children": [], "type": "A", "id": "A143", "name": "新区"},
{"parent_id": "D949", "children": [], "type": "A", "id": "A3040", "name": "老牛马市"},
{"parent_id": "D949", "children": [], "type": "A", "id": "A3727", "name": "平桥"},
{"parent_id": "D949", "children": [], "type": "A", "id": "A2046", "name": "花溪公园"},
{"parent_id": "D949", "children": [], "type": "A", "id": "A4010", "name": "十字街"},
{"parent_id": "D949", "children": [], "type": "A", "id": "A1138", "name": "朝阳村"},
{"parent_id": "D949", "children": [], "type": "A", "id": "A2607", "name": "兰馨桂馥"}], "type": "D", "id": "D949", "name": "花溪区"},
{"parent_id": "C337", "children": [
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{"parent_id": "D952", "children": [], "type": "A", "id": "A144", "name": "甲秀楼"},
{"parent_id": "D952", "children": [], "type": "A", "id": "A3043", "name": "鸿通城"},
{"parent_id": "D952", "children": [], "type": "A", "id": "A3729", "name": "花果园"},
{"parent_id": "D952", "children": [], "type": "A", "id": "A4462", "name": "箭道街"},
{"parent_id": "D952", "children": [], "type": "A", "id": "A2049", "name": "都司路"},
{"parent_id": "D952", "children": [], "type": "A", "id": "A1076", "name": "沙冲南路"},
{"parent_id": "D952", "children": [], "type": "A", "id": "A2610", "name": "大南门"},
{"parent_id": "D952", "children": [], "type": "A", "id": "A4012", "name": "河滨公园"},
{"parent_id": "D952", "children": [], "type": "A", "id": "A1427", "name": "中华南路"},
{"parent_id": "D952", "children": [], "type": "A", "id": "A4256", "name": "花果园购物中心"},
{"parent_id": "D952", "children": [], "type": "A", "id": "A1375", "name": "遵义路"},
{"parent_id": "D952", "children": [], "type": "A", "id": "A3410", "name": "亨特City"},
{"parent_id": "D952", "children": [], "type": "A", "id": "A364", "name": "沙冲中路"},
{"parent_id": "D952", "children": [], "type": "A", "id": "A1141", "name": "博爱路"},
{"parent_id": "D952", "children": [], "type": "A", "id": "A813", "name": "市南路"},
{"parent_id": "D952", "children": [], "type": "A", "id": "A1200", "name": "新华路"},
{"parent_id": "D952", "children": [], "type": "A", "id": "A1305", "name": "油榨街"}], "type": "D", "id": "D952", "name": "南明区"},
{"parent_id": "C337", "children": [
{"parent_id": "D950", "children": [], "type": "A", "id": "A3041", "name": "息烽县"},
{"parent_id": "D950", "children": [], "type": "A", "id": "A2047", "name": "清镇市"},
{"parent_id": "D950", "children": [], "type": "A", "id": "A1139", "name": "开阳县"},
{"parent_id": "D950", "children": [], "type": "A", "id": "A2608", "name": "修文县"}], "type": "D", "id": "D950", "name": "近郊"},
{"parent_id": "C337", "children": [
{"parent_id": "D951", "children": [], "type": "A", "id": "A3409", "name": "龙泉苑街"},
{"parent_id": "D951", "children": [], "type": "A", "id": "A3042", "name": "金阳客车站"},
{"parent_id": "D951", "children": [], "type": "A", "id": "A3728", "name": "世纪金源购物中心"},
{"parent_id": "D951", "children": [], "type": "A", "id": "A2048", "name": "福州街"},
{"parent_id": "D951", "children": [], "type": "A", "id": "A4011", "name": "金阳新区世纪城"},
{"parent_id": "D951", "children": [], "type": "A", "id": "A2609", "name": "红街"},
{"parent_id": "D951", "children": [], "type": "A", "id": "A1140", "name": "诚信南路"}], "type": "D", "id": "D951", "name": "金阳新区"}], "type": "C", "id": "C337", "name": "贵阳"}], "type": "P", "id": "P17", "name": "贵州"},
{"parent_id": "N1", "children": [
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{"parent_id": "C360", "children": [], "type": "D", "id": "D978", "name": "巍山彝族回族自治县"},
{"parent_id": "C360", "children": [
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{"parent_id": "D979", "children": [], "type": "A", "id": "A2063", "name": "开发区"},
{"parent_id": "D979", "children": [], "type": "A", "id": "A2621", "name": "惠丰新城"},
{"parent_id": "D979", "children": [], "type": "A", "id": "A3054", "name": "北市区"},
{"parent_id": "D979", "children": [], "type": "A", "id": "A3421", "name": "感通寺"}], "type": "D", "id": "D979", "name": "下关"},
{"parent_id": "C360", "children": [], "type": "D", "id": "D974", "name": "宾川县"},
{"parent_id": "C360", "children": [], "type": "D", "id": "D975", "name": "洱源县"},
{"parent_id": "C360", "children": [
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{"parent_id": "C360", "children": [], "type": "D", "id": "D977", "name": "南涧彝族自治县"},
{"parent_id": "C360", "children": [], "type": "D", "id": "D982", "name": "云龙县"},
{"parent_id": "C360", "children": [], "type": "D", "id": "D981", "name": "永平县"},
{"parent_id": "C360", "children": [], "type": "D", "id": "D980", "name": "祥云县"}], "type": "C", "id": "C360", "name": "大理"},
{"parent_id": "P18", "children": [], "type": "C", "id": "C361", "name": "德宏"},
{"parent_id": "P18", "children": [], "type": "C", "id": "C362", "name": "怒江"},
{"parent_id": "P18", "children": [], "type": "C", "id": "C363", "name": "迪庆"},
{"parent_id": "P18", "children": [], "type": "C", "id": "C355", "name": "临沧"},
{"parent_id": "P18", "children": [], "type": "C", "id": "C354", "name": "普洱"},
{"parent_id": "P18", "children": [], "type": "C", "id": "C357", "name": "红河"},
{"parent_id": "P18", "children": [], "type": "C", "id": "C356", "name": "楚雄"},
{"parent_id": "P18", "children": [], "type": "C", "id": "C351", "name": "保山"},
{"parent_id": "P18", "children": [], "type": "C", "id": "C350", "name": "玉溪"},
{"parent_id": "P18", "children": [], "type": "C", "id": "C353", "name": "丽江"},
{"parent_id": "P18", "children": [], "type": "C", "id": "C352", "name": "昭通"},
{"parent_id": "P18", "children": [], "type": "C", "id": "C359", "name": "西双版纳"},
{"parent_id": "P18", "children": [], "type": "C", "id": "C358", "name": "文山"},
{"parent_id": "P18", "children": [], "type": "C", "id": "C364", "name": "腾冲"},
{"parent_id": "P18", "children": [], "type": "C", "id": "C365", "name": "香格里拉"},
{"parent_id": "P18", "children": [
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{"parent_id": "C348", "children": [
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{"parent_id": "D971", "children": [], "type": "A", "id": "A148", "name": "新迎小区"},
{"parent_id": "D971", "children": [], "type": "A", "id": "A1151", "name": "北市区"},
{"parent_id": "D971", "children": [], "type": "A", "id": "A2618", "name": "白龙寺"},
{"parent_id": "D971", "children": [], "type": "A", "id": "A4466", "name": "拓东路"},
{"parent_id": "D971", "children": [], "type": "A", "id": "A4017", "name": "七彩俊园"},
{"parent_id": "D971", "children": [], "type": "A", "id": "A3418", "name": "鼓楼片区"},
{"parent_id": "D971", "children": [], "type": "A", "id": "A3735", "name": "金星小区"},
{"parent_id": "D971", "children": [], "type": "A", "id": "A3051", "name": "凤凰新村"},
{"parent_id": "D971", "children": [], "type": "A", "id": "A2057", "name": "白塔路"}], "type": "D", "id": "D971", "name": "盘龙区"},
{"parent_id": "C348", "children": [
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{"parent_id": "D972", "children": [], "type": "A", "id": "A149", "name": "南屏片区"},
{"parent_id": "D972", "children": [], "type": "A", "id": "A558", "name": "小西门"},
{"parent_id": "D972", "children": [], "type": "A", "id": "A368", "name": "三市街"},
{"parent_id": "D972", "children": [], "type": "A", "id": "A1152", "name": "北教场"},
{"parent_id": "D972", "children": [], "type": "A", "id": "A2619", "name": "丰宁小区"},
{"parent_id": "D972", "children": [], "type": "A", "id": "A4467", "name": "经开区"},
{"parent_id": "D972", "children": [], "type": "A", "id": "A4018", "name": "金马碧鸡坊片区"},
{"parent_id": "D972", "children": [], "type": "A", "id": "A3419", "name": "黄土坡"},
{"parent_id": "D972", "children": [], "type": "A", "id": "A817", "name": "圆通山"},
{"parent_id": "D972", "children": [], "type": "A", "id": "A3736", "name": "和谐世纪"},
{"parent_id": "D972", "children": [], "type": "A", "id": "A3052", "name": "高新区"},
{"parent_id": "D972", "children": [], "type": "A", "id": "A2058", "name": "翠湖公园"}], "type": "D", "id": "D972", "name": "五华区"},
{"parent_id": "C348", "children": [
{"parent_id": "D973", "children": [], "type": "A", "id": "A4263", "name": "西山区政府"},
{"parent_id": "D973", "children": [], "type": "A", "id": "A3420", "name": "大观楼"},
{"parent_id": "D973", "children": [], "type": "A", "id": "A4019", "name": "十里长街"},
{"parent_id": "D973", "children": [], "type": "A", "id": "A2620", "name": "大商汇"},
{"parent_id": "D973", "children": [], "type": "A", "id": "A3737", "name": "南亚第一城"},
{"parent_id": "D973", "children": [], "type": "A", "id": "A3053", "name": "滇池"},
{"parent_id": "D973", "children": [], "type": "A", "id": "A1153", "name": "白马"},
{"parent_id": "D973", "children": [], "type": "A", "id": "A2059", "name": "滇池路"}], "type": "D", "id": "D973", "name": "西山区"},
{"parent_id": "C348", "children": [
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{"parent_id": "C348", "children": [
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{"parent_id": "D969", "children": [], "type": "A", "id": "A2617", "name": "禄劝彝族苗族自治县"},
{"parent_id": "D969", "children": [], "type": "A", "id": "A3417", "name": "寻甸回族彝族自治县"},
{"parent_id": "D969", "children": [], "type": "A", "id": "A3734", "name": "宜良县"},
{"parent_id": "D969", "children": [], "type": "A", "id": "A3050", "name": "嵩明县"},
{"parent_id": "D969", "children": [], "type": "A", "id": "A2056", "name": "富民县"}], "type": "D", "id": "D969", "name": "近郊"},
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{"parent_id": "D968", "children": [], "type": "A", "id": "A3049", "name": "昆明站"},
{"parent_id": "D968", "children": [], "type": "A", "id": "A2616", "name": "汇都国际"},
{"parent_id": "D968", "children": [], "type": "A", "id": "A4016", "name": "万象城"},
{"parent_id": "D968", "children": [], "type": "A", "id": "A3416", "name": "世纪城"},
{"parent_id": "D968", "children": [], "type": "A", "id": "A3733", "name": "上东城"},
{"parent_id": "D968", "children": [], "type": "A", "id": "A2055", "name": "官南大道"},
{"parent_id": "D968", "children": [], "type": "A", "id": "A1149", "name": "关上"}], "type": "D", "id": "D968", "name": "官渡区"},
{"parent_id": "C348", "children": [], "type": "D", "id": "D967", "name": "东川区"}], "type": "C", "id": "C348", "name": "昆明"},
{"parent_id": "P18", "children": [], "type": "C", "id": "C349", "name": "曲靖"}], "type": "P", "id": "P18", "name": "云南"},
{"parent_id": "N1", "children": [
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{"parent_id": "P19", "children": [], "type": "C", "id": "C369", "name": "日喀则"},
{"parent_id": "P19", "children": [], "type": "C", "id": "C366", "name": "拉萨"},
{"parent_id": "P19", "children": [], "type": "C", "id": "C367", "name": "昌都"},
{"parent_id": "P19", "children": [], "type": "C", "id": "C372", "name": "林芝"},
{"parent_id": "P19", "children": [], "type": "C", "id": "C371", "name": "阿里"},
{"parent_id": "P19", "children": [], "type": "C", "id": "C370", "name": "那曲"}], "type": "P", "id": "P19", "name": "西藏"},
{"parent_id": "N1", "children": [
{"parent_id": "P20", "children": [
{"parent_id": "C234", "children": [
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{"parent_id": "D730", "children": [], "type": "A", "id": "A4221", "name": "太白立交"},
{"parent_id": "D730", "children": [], "type": "A", "id": "A3685", "name": "南二环东段"},
{"parent_id": "D730", "children": [], "type": "A", "id": "A3972", "name": "曲江新区"},
{"parent_id": "D730", "children": [], "type": "A", "id": "A2529", "name": "大雁塔"},
{"parent_id": "D730", "children": [], "type": "A", "id": "A118", "name": "雁翔路"},
{"parent_id": "D730", "children": [], "type": "A", "id": "A3359", "name": "南二环西段"},
{"parent_id": "D730", "children": [], "type": "A", "id": "A948", "name": "长安路"},
{"parent_id": "D730", "children": [], "type": "A", "id": "A2977", "name": "明德门"},
{"parent_id": "D730", "children": [], "type": "A", "id": "A340", "name": "朱雀大街"},
{"parent_id": "D730", "children": [], "type": "A", "id": "A4433", "name": "小寨/南郊"}], "type": "D", "id": "D730", "name": "雁塔区"},
{"parent_id": "C234", "children": [
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{"parent_id": "C234", "children": [], "type": "D", "id": "D175", "name": "抚顺县"},
{"parent_id": "C234", "children": [
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{"parent_id": "C234", "children": [], "type": "D", "id": "D177", "name": "李石经济开发区"},
{"parent_id": "C234", "children": [], "type": "D", "id": "D178", "name": "清原满族自治县"},
{"parent_id": "C234", "children": [
{"parent_id": "D179", "children": [], "type": "A", "id": "A2778", "name": "河东"},
{"parent_id": "D179", "children": [], "type": "A", "id": "A417", "name": "北站"},
{"parent_id": "D179", "children": [], "type": "A", "id": "A1638", "name": "新华乐购"},
{"parent_id": "D179", "children": [], "type": "A", "id": "A3186", "name": "雷锋体育场"},
{"parent_id": "D179", "children": [], "type": "A", "id": "A2302", "name": "将军"}], "type": "D", "id": "D179", "name": "顺城区"},
{"parent_id": "C234", "children": [], "type": "D", "id": "D729", "name": "阎良区"},
{"parent_id": "C234", "children": [
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{"parent_id": "D728", "children": [], "type": "A", "id": "A3684", "name": "民乐园"},
{"parent_id": "D728", "children": [], "type": "A", "id": "A3971", "name": "新城广场"},
{"parent_id": "D728", "children": [], "type": "A", "id": "A2528", "name": "互助立交"},
{"parent_id": "D728", "children": [], "type": "A", "id": "A3358", "name": "金花路"},
{"parent_id": "D728", "children": [], "type": "A", "id": "A947", "name": "胡家庙"},
{"parent_id": "D728", "children": [], "type": "A", "id": "A2976", "name": "解放路/火车站"}], "type": "D", "id": "D728", "name": "新城区"},
{"parent_id": "C234", "children": [
{"parent_id": "D725", "children": [], "type": "A", "id": "A1933", "name": "东三岔"},
{"parent_id": "D725", "children": [], "type": "A", "id": "A2525", "name": "华清池"},
{"parent_id": "D725", "children": [], "type": "A", "id": "A944", "name": "兵马俑"},
{"parent_id": "D725", "children": [], "type": "A", "id": "A2973", "name": "人民路/文化路"}], "type": "D", "id": "D725", "name": "临潼区"},
{"parent_id": "C234", "children": [
{"parent_id": "D724", "children": [], "type": "A", "id": "A1932", "name": "北关正街"},
{"parent_id": "D724", "children": [], "type": "A", "id": "A3681", "name": "莲湖公园"},
{"parent_id": "D724", "children": [], "type": "A", "id": "A338", "name": "西稍门"},
{"parent_id": "D724", "children": [], "type": "A", "id": "A116", "name": "西大街"},
{"parent_id": "D724", "children": [], "type": "A", "id": "A3355", "name": "汉城路沿线"},
{"parent_id": "D724", "children": [], "type": "A", "id": "A943", "name": "北大街"},
{"parent_id": "D724", "children": [], "type": "A", "id": "A4431", "name": "土门"},
{"parent_id": "D724", "children": [], "type": "A", "id": "A4219", "name": "劳动公园"},
{"parent_id": "D724", "children": [], "type": "A", "id": "A2524", "name": "丰庆公园"},
{"parent_id": "D724", "children": [], "type": "A", "id": "A3969", "name": "劳动南路"},
{"parent_id": "D724", "children": [], "type": "A", "id": "A2972", "name": "广济街"}], "type": "D", "id": "D724", "name": "莲湖区"},
{"parent_id": "C234", "children": [
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{"parent_id": "D727", "children": [], "type": "A", "id": "A3683", "name": "杨陵"},
{"parent_id": "D727", "children": [], "type": "A", "id": "A2527", "name": "渭城"},
{"parent_id": "D727", "children": [], "type": "A", "id": "A3357", "name": "兴平"},
{"parent_id": "D727", "children": [], "type": "A", "id": "A946", "name": "泾阳"},
{"parent_id": "D727", "children": [], "type": "A", "id": "A2975", "name": "武功"}], "type": "D", "id": "D727", "name": "咸阳市"},
{"parent_id": "C234", "children": [
{"parent_id": "D726", "children": [], "type": "A", "id": "A1934", "name": "城市运动公园"},
{"parent_id": "D726", "children": [], "type": "A", "id": "A4220", "name": "赛高街区"},
{"parent_id": "D726", "children": [], "type": "A", "id": "A3682", "name": "龙首村"},
{"parent_id": "D726", "children": [], "type": "A", "id": "A3970", "name": "明光路"},
{"parent_id": "D726", "children": [], "type": "A", "id": "A339", "name": "文景路"},
{"parent_id": "D726", "children": [], "type": "A", "id": "A536", "name": "辛家庙"},
{"parent_id": "D726", "children": [], "type": "A", "id": "A117", "name": "未央路"},
{"parent_id": "D726", "children": [], "type": "A", "id": "A3356", "name": "红旗厂"},
{"parent_id": "D726", "children": [], "type": "A", "id": "A945", "name": "北大学城"},
{"parent_id": "D726", "children": [], "type": "A", "id": "A776", "name": "朱宏路"},
{"parent_id": "D726", "children": [], "type": "A", "id": "A2526", "name": "大明宫万达"},
{"parent_id": "D726", "children": [], "type": "A", "id": "A2974", "name": "大明宫"},
{"parent_id": "D726", "children": [], "type": "A", "id": "A4432", "name": "太华路"}], "type": "D", "id": "D726", "name": "未央区"},
{"parent_id": "C234", "children": [], "type": "D", "id": "D721", "name": "高陵县"},
{"parent_id": "C234", "children": [
{"parent_id": "D720", "children": [], "type": "A", "id": "A2521", "name": "秦岭沿线"},
{"parent_id": "D720", "children": [], "type": "A", "id": "A940", "name": "郭杜"},
{"parent_id": "D720", "children": [], "type": "A", "id": "A2970", "name": "韦曲"},
{"parent_id": "D720", "children": [], "type": "A", "id": "A1929", "name": "南大学城"}], "type": "D", "id": "D720", "name": "长安区"},
{"parent_id": "C234", "children": [
{"parent_id": "D723", "children": [], "type": "A", "id": "A1931", "name": "蓝田县"},
{"parent_id": "D723", "children": [], "type": "A", "id": "A2523", "name": "周至县"},
{"parent_id": "D723", "children": [], "type": "A", "id": "A942", "name": "户县"}], "type": "D", "id": "D723", "name": "近郊"},
{"parent_id": "C234", "children": [
{"parent_id": "D722", "children": [], "type": "A", "id": "A1930", "name": "光华路"},
{"parent_id": "D722", "children": [], "type": "A", "id": "A3354", "name": "唐延路"},
{"parent_id": "D722", "children": [], "type": "A", "id": "A941", "name": "高新路"},
{"parent_id": "D722", "children": [], "type": "A", "id": "A2522", "name": "科技路沿线"},
{"parent_id": "D722", "children": [], "type": "A", "id": "A2971", "name": "科技路西口"}], "type": "D", "id": "D722", "name": "高新区"},
{"parent_id": "C234", "children": [
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{"parent_id": "D718", "children": [], "type": "A", "id": "A1927", "name": "浐灞生态区"},
{"parent_id": "D718", "children": [], "type": "A", "id": "A938", "name": "白鹿原"},
{"parent_id": "D718", "children": [], "type": "A", "id": "A2519", "name": "纺织城"}], "type": "D", "id": "D718", "name": "灞桥区"},
{"parent_id": "C234", "children": [
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{"parent_id": "D719", "children": [], "type": "A", "id": "A3680", "name": "立丰国际"},
{"parent_id": "D719", "children": [], "type": "A", "id": "A2969", "name": "东大街"},
{"parent_id": "D719", "children": [], "type": "A", "id": "A1039", "name": "钟楼/鼓楼"},
{"parent_id": "D719", "children": [], "type": "A", "id": "A337", "name": "西安交大/东郊"},
{"parent_id": "D719", "children": [], "type": "A", "id": "A2520", "name": "含光路"},
{"parent_id": "D719", "children": [], "type": "A", "id": "A3353", "name": "李家村"},
{"parent_id": "D719", "children": [], "type": "A", "id": "A115", "name": "太乙路"},
{"parent_id": "D719", "children": [], "type": "A", "id": "A775", "name": "小雁塔"},
{"parent_id": "D719", "children": [], "type": "A", "id": "A4218", "name": "南大街"},
{"parent_id": "D719", "children": [], "type": "A", "id": "A3968", "name": "南稍门"},
{"parent_id": "D719", "children": [], "type": "A", "id": "A1928", "name": "和平门/建国门"},
{"parent_id": "D719", "children": [], "type": "A", "id": "A4430", "name": "省体育场"},
{"parent_id": "D719", "children": [], "type": "A", "id": "A939", "name": "东关正街"}], "type": "D", "id": "D719", "name": "碑林区"},
{"parent_id": "C234", "children": [
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{"parent_id": "D181", "children": [], "type": "A", "id": "A1640", "name": "万达广场"},
{"parent_id": "D181", "children": [], "type": "A", "id": "A419", "name": "南站"},
{"parent_id": "D181", "children": [], "type": "A", "id": "A3187", "name": "步行街"},
{"parent_id": "D181", "children": [], "type": "A", "id": "A2304", "name": "浙商/天朗"}], "type": "D", "id": "D181", "name": "新抚区"},
{"parent_id": "C234", "children": [
{"parent_id": "D180", "children": [], "type": "A", "id": "A418", "name": "望花乐购"},
{"parent_id": "D180", "children": [], "type": "A", "id": "A1639", "name": "丹东路"},
{"parent_id": "D180", "children": [], "type": "A", "id": "A2303", "name": "雷锋路"}], "type": "D", "id": "D180", "name": "望花区"}], "type": "C", "id": "C234", "name": "西安"},
{"parent_id": "P20", "children": [], "type": "C", "id": "C379", "name": "渭南"},
{"parent_id": "P20", "children": [], "type": "C", "id": "C378", "name": "咸阳"},
{"parent_id": "P20", "children": [], "type": "C", "id": "C377", "name": "宝鸡"},
{"parent_id": "P20", "children": [], "type": "C", "id": "C376", "name": "铜川"},
{"parent_id": "P20", "children": [], "type": "C", "id": "C383", "name": "安康"},
{"parent_id": "P20", "children": [], "type": "C", "id": "C384", "name": "商洛"},
{"parent_id": "P20", "children": [], "type": "C", "id": "C382", "name": "榆林"},
{"parent_id": "P20", "children": [], "type": "C", "id": "C380", "name": "延安"},
{"parent_id": "P20", "children": [], "type": "C", "id": "C381", "name": "汉中"}], "type": "P", "id": "P20", "name": "陕西"},
{"parent_id": "N1", "children": [
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{"parent_id": "P21", "children": [], "type": "C", "id": "C395", "name": "陇南"},
{"parent_id": "P21", "children": [], "type": "C", "id": "C394", "name": "定西"},
{"parent_id": "P21", "children": [
{"parent_id": "C180", "children": [
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{"parent_id": "C180", "children": [], "type": "D", "id": "D519", "name": "榆中县"},
{"parent_id": "C180", "children": [
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{"parent_id": "D512", "children": [], "type": "A", "id": "A2121", "name": "双城门"},
{"parent_id": "D512", "children": [], "type": "A", "id": "A2737", "name": "中山林"},
{"parent_id": "D512", "children": [], "type": "A", "id": "A514", "name": "甘南路"},
{"parent_id": "D512", "children": [], "type": "A", "id": "A2675", "name": "新港城"},
{"parent_id": "D512", "children": [], "type": "A", "id": "A2653", "name": "西关十字"},
{"parent_id": "D512", "children": [], "type": "A", "id": "A2184", "name": "秦安路"},
{"parent_id": "D512", "children": [], "type": "A", "id": "A829", "name": "北滨河路"},
{"parent_id": "D512", "children": [], "type": "A", "id": "A2622", "name": "五泉山"},
{"parent_id": "D512", "children": [], "type": "A", "id": "A1577", "name": "民主西路"},
{"parent_id": "D512", "children": [], "type": "A", "id": "A2214", "name": "滩尖子"},
{"parent_id": "D512", "children": [], "type": "A", "id": "A2907", "name": "草场街"},
{"parent_id": "D512", "children": [], "type": "A", "id": "A2454", "name": "北面滩"},
{"parent_id": "D512", "children": [], "type": "A", "id": "A988", "name": "广武门"},
{"parent_id": "D512", "children": [], "type": "A", "id": "A1803", "name": "南关十字"},
{"parent_id": "D512", "children": [], "type": "A", "id": "A4182", "name": "大润发"},
{"parent_id": "D512", "children": [], "type": "A", "id": "A2256", "name": "通渭路"},
{"parent_id": "D512", "children": [], "type": "A", "id": "A2068", "name": "平凉路"},
{"parent_id": "D512", "children": [], "type": "A", "id": "A1279", "name": "静宁路"},
{"parent_id": "D512", "children": [], "type": "A", "id": "A2541", "name": "武都路"},
{"parent_id": "D512", "children": [], "type": "A", "id": "A3633", "name": "东岗东路"},
{"parent_id": "D512", "children": [], "type": "A", "id": "A1177", "name": "火车站"},
{"parent_id": "D512", "children": [], "type": "A", "id": "A2159", "name": "铁路局"},
{"parent_id": "D512", "children": [], "type": "A", "id": "A2700", "name": "雁滩路"},
{"parent_id": "D512", "children": [], "type": "A", "id": "A2702", "name": "张掖路"},
{"parent_id": "D512", "children": [], "type": "A", "id": "A4399", "name": "段家滩"},
{"parent_id": "D512", "children": [], "type": "A", "id": "A1353", "name": "酒泉路"},
{"parent_id": "D512", "children": [], "type": "A", "id": "A89", "name": "大众巷"},
{"parent_id": "D512", "children": [], "type": "A", "id": "A2688", "name": "永昌路"},
{"parent_id": "D512", "children": [], "type": "A", "id": "A1415", "name": "九州开发区"},
{"parent_id": "D512", "children": [], "type": "A", "id": "A1677", "name": "麦积山路"},
{"parent_id": "D512", "children": [], "type": "A", "id": "A2328", "name": "体育公园"},
{"parent_id": "D512", "children": [], "type": "A", "id": "A742", "name": "皋兰路"},
{"parent_id": "D512", "children": [], "type": "A", "id": "A2420", "name": "王府井"},
{"parent_id": "D512", "children": [], "type": "A", "id": "A296", "name": "二热"},
{"parent_id": "D512", "children": [], "type": "A", "id": "A1508", "name": "兰州一中"},
{"parent_id": "D512", "children": [], "type": "A", "id": "A2206", "name": "天庆嘉园"},
{"parent_id": "D512", "children": [], "type": "A", "id": "A1473", "name": "兰州大学"},
{"parent_id": "D512", "children": [], "type": "A", "id": "A3302", "name": "东方红广场"},
{"parent_id": "D512", "children": [], "type": "A", "id": "A1851", "name": "白银路"},
{"parent_id": "D512", "children": [], "type": "A", "id": "A3925", "name": "定西路"}], "type": "D", "id": "D512", "name": "城关区"},
{"parent_id": "C180", "children": [], "type": "D", "id": "D513", "name": "皋兰县"},
{"parent_id": "C180", "children": [
{"parent_id": "D516", "children": [], "type": "A", "id": "A2909", "name": "南滨河路"},
{"parent_id": "D516", "children": [], "type": "A", "id": "A2456", "name": "兰州西站"},
{"parent_id": "D516", "children": [], "type": "A", "id": "A3635", "name": "小西湖"},
{"parent_id": "D516", "children": [], "type": "A", "id": "A4184", "name": "倚能"},
{"parent_id": "D516", "children": [], "type": "A", "id": "A831", "name": "龚家湾"},
{"parent_id": "D516", "children": [], "type": "A", "id": "A3304", "name": "万辉国际广场"},
{"parent_id": "D516", "children": [], "type": "A", "id": "A1853", "name": "金港城"},
{"parent_id": "D516", "children": [], "type": "A", "id": "A3927", "name": "秀川"}], "type": "D", "id": "D516", "name": "七里河区"},
{"parent_id": "C180", "children": [
{"parent_id": "D517", "children": [], "type": "A", "id": "A4401", "name": "玉门街"},
{"parent_id": "D517", "children": [], "type": "A", "id": "A2457", "name": "兰化医院"},
{"parent_id": "D517", "children": [], "type": "A", "id": "A3305", "name": "天鹅湖"},
{"parent_id": "D517", "children": [], "type": "A", "id": "A4185", "name": "西固人家"},
{"parent_id": "D517", "children": [], "type": "A", "id": "A3636", "name": "西固城"},
{"parent_id": "D517", "children": [], "type": "A", "id": "A3928", "name": "西固公园"},
{"parent_id": "D517", "children": [], "type": "A", "id": "A832", "name": "北站"},
{"parent_id": "D517", "children": [], "type": "A", "id": "A2910", "name": "十二街区"},
{"parent_id": "D517", "children": [], "type": "A", "id": "A1854", "name": "兰炼医院"}], "type": "D", "id": "D517", "name": "西固区"},
{"parent_id": "C180", "children": [], "type": "D", "id": "D514", "name": "红古区"},
{"parent_id": "C180", "children": [
{"parent_id": "D515", "children": [], "type": "A", "id": "A4400", "name": "桃海"},
{"parent_id": "D515", "children": [], "type": "A", "id": "A90", "name": "西北师大"},
{"parent_id": "D515", "children": [], "type": "A", "id": "A2908", "name": "交通大学"},
{"parent_id": "D515", "children": [], "type": "A", "id": "A2455", "name": "金牛街"},
{"parent_id": "D515", "children": [], "type": "A", "id": "A4183", "name": "实创现代城"},
{"parent_id": "D515", "children": [], "type": "A", "id": "A3634", "name": "培黎广场"},
{"parent_id": "D515", "children": [], "type": "A", "id": "A3926", "name": "十里店"},
{"parent_id": "D515", "children": [], "type": "A", "id": "A830", "name": "安宁庭院"},
{"parent_id": "D515", "children": [], "type": "A", "id": "A3303", "name": "安宁西路"},
{"parent_id": "D515", "children": [], "type": "A", "id": "A1852", "name": "费家营十字"}], "type": "D", "id": "D515", "name": "安宁区"}], "type": "C", "id": "C180", "name": "兰州"},
{"parent_id": "P21", "children": [], "type": "C", "id": "C385", "name": "嘉峪关"},
{"parent_id": "P21", "children": [], "type": "C", "id": "C388", "name": "天水"},
{"parent_id": "P21", "children": [], "type": "C", "id": "C389", "name": "武威"},
{"parent_id": "P21", "children": [], "type": "C", "id": "C386", "name": "金昌"},
{"parent_id": "P21", "children": [], "type": "C", "id": "C387", "name": "白银"},
{"parent_id": "P21", "children": [], "type": "C", "id": "C391", "name": "平凉"},
{"parent_id": "P21", "children": [], "type": "C", "id": "C393", "name": "庆阳"},
{"parent_id": "P21", "children": [], "type": "C", "id": "C392", "name": "酒泉"},
{"parent_id": "P21", "children": [], "type": "C", "id": "C397", "name": "甘南"},
{"parent_id": "P21", "children": [], "type": "C", "id": "C396", "name": "临夏"}], "type": "P", "id": "P21", "name": "甘肃"},
{"parent_id": "N1", "children": [
{"parent_id": "P22", "children": [], "type": "C", "id": "C401", "name": "黄南"},
{"parent_id": "P22", "children": [], "type": "C", "id": "C400", "name": "海北"},
{"parent_id": "P22", "children": [], "type": "C", "id": "C403", "name": "果洛"},
{"parent_id": "P22", "children": [], "type": "C", "id": "C402", "name": "海南州"},
{"parent_id": "P22", "children": [], "type": "C", "id": "C405", "name": "海西"},
{"parent_id": "P22", "children": [], "type": "C", "id": "C404", "name": "玉树"},
{"parent_id": "P22", "children": [], "type": "C", "id": "C399", "name": "海东"},
{"parent_id": "P22", "children": [
{"parent_id": "C398", "children": [
{"parent_id": "D1020", "children": [], "type": "A", "id": "A1257", "name": "小桥"},
{"parent_id": "D1020", "children": [], "type": "A", "id": "A2112", "name": "朝阳"},
{"parent_id": "D1020", "children": [], "type": "A", "id": "A2649", "name": "西郊"}], "type": "D", "id": "D1020", "name": "城北区"},
{"parent_id": "C398", "children": [
{"parent_id": "D1021", "children": [], "type": "A", "id": "A2650", "name": "国际村"},
{"parent_id": "D1021", "children": [], "type": "A", "id": "A1258", "name": "湟光"},
{"parent_id": "D1021", "children": [], "type": "A", "id": "A2113", "name": "五一路"}], "type": "D", "id": "D1021", "name": "城东区"},
{"parent_id": "C398", "children": [
{"parent_id": "D1022", "children": [], "type": "A", "id": "A3442", "name": "西关大街"},
{"parent_id": "D1022", "children": [], "type": "A", "id": "A2651", "name": "胜利路"},
{"parent_id": "D1022", "children": [], "type": "A", "id": "A4477", "name": "乐尚都市"},
{"parent_id": "D1022", "children": [], "type": "A", "id": "A3754", "name": "麒麟湾"},
{"parent_id": "D1022", "children": [], "type": "A", "id": "A1259", "name": "师大"},
{"parent_id": "D1022", "children": [], "type": "A", "id": "A4035", "name": "长江路"},
{"parent_id": "D1022", "children": [], "type": "A", "id": "A4276", "name": "海湖路"},
{"parent_id": "D1022", "children": [], "type": "A", "id": "A2114", "name": "力盟步行街"},
{"parent_id": "D1022", "children": [], "type": "A", "id": "A3077", "name": "虎台"}], "type": "D", "id": "D1022", "name": "城西区"},
{"parent_id": "C398", "children": [
{"parent_id": "D1023", "children": [], "type": "A", "id": "A3443", "name": "南小街"},
{"parent_id": "D1023", "children": [], "type": "A", "id": "A2652", "name": "七一路"},
{"parent_id": "D1023", "children": [], "type": "A", "id": "A2115", "name": "大十字"},
{"parent_id": "D1023", "children": [], "type": "A", "id": "A3755", "name": "夏都大街"},
{"parent_id": "D1023", "children": [], "type": "A", "id": "A3078", "name": "东台"},
{"parent_id": "D1023", "children": [], "type": "A", "id": "A1260", "name": "西门"}], "type": "D", "id": "D1023", "name": "城中区"},
{"parent_id": "C398", "children": [], "type": "D", "id": "D1024", "name": "大通回族土族自治县"},
{"parent_id": "C398", "children": [], "type": "D", "id": "D1025", "name": "湟中县"}], "type": "C", "id": "C398", "name": "西宁"}], "type": "P", "id": "P22", "name": "青海"},
{"parent_id": "N1", "children": [
{"parent_id": "P24", "children": [], "type": "C", "id": "C409", "name": "固原"},
{"parent_id": "P24", "children": [], "type": "C", "id": "C408", "name": "吴忠"},
{"parent_id": "P24", "children": [], "type": "C", "id": "C410", "name": "中卫"},
{"parent_id": "P24", "children": [], "type": "C", "id": "C407", "name": "石嘴山"},
{"parent_id": "P24", "children": [
{"parent_id": "C406", "children": [], "type": "D", "id": "D1031", "name": "永宁县"},
{"parent_id": "C406", "children": [
{"parent_id": "D1030", "children": [], "type": "A", "id": "A2126", "name": "同心路"},
{"parent_id": "D1030", "children": [], "type": "A", "id": "A1291", "name": "宁夏大学"}], "type": "D", "id": "D1030", "name": "西夏区"},
{"parent_id": "C406", "children": [], "type": "D", "id": "D1026", "name": "贺兰县"},
{"parent_id": "C406", "children": [
{"parent_id": "D1027", "children": [], "type": "A", "id": "A2124", "name": "民生花园/蓝山名邸"},
{"parent_id": "D1027", "children": [], "type": "A", "id": "A3444", "name": "悦海新天地"},
{"parent_id": "D1027", "children": [], "type": "A", "id": "A2654", "name": "世纪金花购物中心"},
{"parent_id": "D1027", "children": [], "type": "A", "id": "A1289", "name": "万达"},
{"parent_id": "D1027", "children": [], "type": "A", "id": "A3079", "name": "新城"},
{"parent_id": "D1027", "children": [], "type": "A", "id": "A3756", "name": "良田附近"}], "type": "D", "id": "D1027", "name": "金凤区"},
{"parent_id": "C406", "children": [], "type": "D", "id": "D1028", "name": "灵武市"},
{"parent_id": "C406", "children": [
{"parent_id": "D1029", "children": [], "type": "A", "id": "A2125", "name": "鼓楼"},
{"parent_id": "D1029", "children": [], "type": "A", "id": "A3445", "name": "光明广场"},
{"parent_id": "D1029", "children": [], "type": "A", "id": "A1106", "name": "东门附近"},
{"parent_id": "D1029", "children": [], "type": "A", "id": "A2655", "name": "老大楼"},
{"parent_id": "D1029", "children": [], "type": "A", "id": "A4478", "name": "湖滨街"},
{"parent_id": "D1029", "children": [], "type": "A", "id": "A1290", "name": "新华"},
{"parent_id": "D1029", "children": [], "type": "A", "id": "A3080", "name": "南门广场"},
{"parent_id": "D1029", "children": [], "type": "A", "id": "A375", "name": "新一中"},
{"parent_id": "D1029", "children": [], "type": "A", "id": "A4036", "name": "唐徕"},
{"parent_id": "D1029", "children": [], "type": "A", "id": "A4277", "name": "绿地21城"},
{"parent_id": "D1029", "children": [], "type": "A", "id": "A565", "name": "新二中"},
{"parent_id": "D1029", "children": [], "type": "A", "id": "A3757", "name": "香渔王子"},
{"parent_id": "D1029", "children": [], "type": "A", "id": "A157", "name": "建发现代城"},
{"parent_id": "D1029", "children": [], "type": "A", "id": "A834", "name": "北门金三角"}], "type": "D", "id": "D1029", "name": "兴庆区"}], "type": "C", "id": "C406", "name": "银川"}], "type": "P", "id": "P24", "name": "宁夏"},
{"parent_id": "N1", "children": [
{"parent_id": "P25", "children": [], "type": "C", "id": "C423", "name": "塔城"},
{"parent_id": "P25", "children": [], "type": "C", "id": "C422", "name": "伊犁"},
{"parent_id": "P25", "children": [], "type": "C", "id": "C421", "name": "和田"},
{"parent_id": "P25", "children": [], "type": "C", "id": "C420", "name": "喀什"},
{"parent_id": "P25", "children": [], "type": "C", "id": "C425", "name": "石河子"},
{"parent_id": "P25", "children": [], "type": "C", "id": "C424", "name": "阿勒泰"},
{"parent_id": "P25", "children": [], "type": "C", "id": "C415", "name": "昌吉"},
{"parent_id": "P25", "children": [], "type": "C", "id": "C412", "name": "克拉玛依"},
{"parent_id": "P25", "children": [], "type": "C", "id": "C416", "name": "博尔塔拉"},
{"parent_id": "P25", "children": [], "type": "C", "id": "C417", "name": "巴州"},
{"parent_id": "P25", "children": [], "type": "C", "id": "C414", "name": "哈密"},
{"parent_id": "P25", "children": [], "type": "C", "id": "C413", "name": "吐鲁番"},
{"parent_id": "P25", "children": [
{"parent_id": "C411", "children": [
{"parent_id": "D1036", "children": [], "type": "A", "id": "A1303", "name": "北京南路"},
{"parent_id": "D1036", "children": [], "type": "A", "id": "A3760", "name": "鲤鱼山路"},
{"parent_id": "D1036", "children": [], "type": "A", "id": "A3448", "name": "昆仑路"},
{"parent_id": "D1036", "children": [], "type": "A", "id": "A3083", "name": "喀什西路"},
{"parent_id": "D1036", "children": [], "type": "A", "id": "A2133", "name": "河南西路"},
{"parent_id": "D1036", "children": [], "type": "A", "id": "A2660", "name": "河南东路"}], "type": "D", "id": "D1036", "name": "新市区"},
{"parent_id": "C411", "children": [
{"parent_id": "D1035", "children": [], "type": "A", "id": "A1302", "name": "东风路"},
{"parent_id": "D1035", "children": [], "type": "A", "id": "A4480", "name": "中山路"},
{"parent_id": "D1035", "children": [], "type": "A", "id": "A2659", "name": "红旗路"},
{"parent_id": "D1035", "children": [], "type": "A", "id": "A3447", "name": "民主路"},
{"parent_id": "D1035", "children": [], "type": "A", "id": "A3082", "name": "建设路"},
{"parent_id": "D1035", "children": [], "type": "A", "id": "A4038", "name": "文化路"},
{"parent_id": "D1035", "children": [], "type": "A", "id": "A2132", "name": "光明路"},
{"parent_id": "D1035", "children": [], "type": "A", "id": "A4279", "name": "新华北路"},
{"parent_id": "D1035", "children": [], "type": "A", "id": "A3759", "name": "五星南路"}], "type": "D", "id": "D1035", "name": "天山区"},
{"parent_id": "C411", "children": [
{"parent_id": "D1034", "children": [], "type": "A", "id": "A1301", "name": "南湖路"},
{"parent_id": "D1034", "children": [], "type": "A", "id": "A2658", "name": "新民路"},
{"parent_id": "D1034", "children": [], "type": "A", "id": "A2131", "name": "苏州路"}], "type": "D", "id": "D1034", "name": "水磨沟区"},
{"parent_id": "C411", "children": [
{"parent_id": "D1033", "children": [], "type": "A", "id": "A3446", "name": "克拉玛依西路"},
{"parent_id": "D1033", "children": [], "type": "A", "id": "A1300", "name": "阿勒泰路"},
{"parent_id": "D1033", "children": [], "type": "A", "id": "A2657", "name": "长江路"},
{"parent_id": "D1033", "children": [], "type": "A", "id": "A4479", "name": "新医路"},
{"parent_id": "D1033", "children": [], "type": "A", "id": "A3081", "name": "黄河路"},
{"parent_id": "D1033", "children": [], "type": "A", "id": "A376", "name": "扬子江路"},
{"parent_id": "D1033", "children": [], "type": "A", "id": "A4037", "name": "奇台路"},
{"parent_id": "D1033", "children": [], "type": "A", "id": "A2130", "name": "巴州路"},
{"parent_id": "D1033", "children": [], "type": "A", "id": "A4278", "name": "西北路"},
{"parent_id": "D1033", "children": [], "type": "A", "id": "A3758", "name": "揽秀园西街"},
{"parent_id": "D1033", "children": [], "type": "A", "id": "A158", "name": "友好北路"}], "type": "D", "id": "D1033", "name": "沙依巴克区"},
{"parent_id": "C411", "children": [
{"parent_id": "D1032", "children": [], "type": "A", "id": "A2129", "name": "头屯河区"},
{"parent_id": "D1032", "children": [], "type": "A", "id": "A2656", "name": "乌鲁木齐县"},
{"parent_id": "D1032", "children": [], "type": "A", "id": "A1299", "name": "米东区"}], "type": "D", "id": "D1032", "name": "近郊"}], "type": "C", "id": "C411", "name": "乌鲁木齐"},
{"parent_id": "P25", "children": [], "type": "C", "id": "C418", "name": "阿克苏"},
{"parent_id": "P25", "children": [], "type": "C", "id": "C419", "name": "克州"}], "type": "P", "id": "P25", "name": "新疆"},
{"parent_id": "N1", "children": [
{"parent_id": "P28", "children": [], "type": "C", "id": "C432", "name": "澳门"}], "type": "P", "id": "P28", "name": "澳门"},
{"parent_id": "N1", "children": [
{"parent_id": "P26", "children": [], "type": "C", "id": "C428", "name": "台北"}], "type": "P", "id": "P26", "name": "台湾"},
{"parent_id": "N1", "children": [
{"parent_id": "P27", "children": [], "type": "C", "id": "C431", "name": "香港"}], "type": "P", "id": "P27", "name": "香港"}]; | PypiClean |
/Flask-PluginEngine-0.4.1.tar.gz/Flask-PluginEngine-0.4.1/flask_pluginengine/util.py |
import sys
from contextlib import contextmanager
from functools import wraps
from types import FunctionType
from flask import current_app
from jinja2.utils import internalcode
from .globals import _plugin_ctx_stack
def get_state(app):
"""Get the application-specific plugine engine data."""
assert 'pluginengine' in app.extensions, \
'The pluginengine extension was not registered to the current application. ' \
'Please make sure to call init_app() first.'
return app.extensions['pluginengine']
def resolve_dependencies(plugins):
"""Resolve dependencies between plugins and sort them accordingly.
This function guarantees that a plugin is never loaded before any
plugin it depends on. If multiple plugins are ready to be loaded,
the order in which they are loaded is undefined and should not be
relied upon. If you want a certain order, add a (soft) dependency!
:param plugins: dict mapping plugin names to plugin classes
"""
plugins_deps = {name: (cls.required_plugins, cls.used_plugins) for name, cls in plugins.items()}
resolved_deps = set()
while plugins_deps:
# Get plugins with both hard and soft dependencies being met
ready = {cls for cls, deps in plugins_deps.items() if all(d <= resolved_deps for d in deps)}
if not ready:
# Otherwise check for plugins with all hard dependencies being met
ready = {cls for cls, deps in plugins_deps.items() if deps[0] <= resolved_deps}
if not ready:
# Either a circular dependency or a dependency that's not loaded
raise Exception('Could not resolve dependencies between plugins')
resolved_deps |= ready
for name in ready:
yield name, plugins[name]
del plugins_deps[name]
@contextmanager
def plugin_context(plugin):
"""Enter a plugin context if a plugin is provided, otherwise clear it
Useful for code which sometimes needs a plugin context, e.g.
because it may be used in both the core and in a plugin.
"""
if plugin is None:
# Explicitly push a None plugin to disable an existing plugin context
_plugin_ctx_stack.push(None)
try:
yield
finally:
assert _plugin_ctx_stack.pop() is None, 'Popped wrong plugin'
else:
with plugin.instance.plugin_context():
yield
class equality_preserving_decorator:
"""Decorator which is considered equal with the original function"""
def __init__(self, orig_func):
self.orig_func = orig_func
self.wrapper = None
def __call__(self, *args, **kwargs):
if self.wrapper is None:
assert len(args) == 1
assert not kwargs
self.wrapper = args[0]
return self
else:
return self.wrapper(*args, **kwargs)
def __eq__(self, other):
if isinstance(other, FunctionType):
return self.orig_func == other
else:
return self.orig_func == other.orig_func
def __ne__(self, other):
return not (self == other)
def __hash__(self):
return hash(self.orig_func)
def __repr__(self):
return f'<decorated {self.orig_func!r}>'
def plugin_name_from_template_name(name):
if not name:
return None
return name.split(':', 1)[0] if ':' in name else None
def wrap_iterator_in_plugin_context(plugin, gen_or_func):
"""Run an iterator inside a plugin context"""
# Heavily based on Flask's stream_with_context
try:
gen = iter(gen_or_func)
except TypeError:
@equality_preserving_decorator(gen_or_func)
def decorator(*args, **kwargs):
return wrap_iterator_in_plugin_context(plugin, gen_or_func(*args, **kwargs))
return decorator
if plugin is not None and isinstance(plugin, str):
plugin = get_state(current_app).plugin_engine.get_plugin(plugin)
@internalcode
def generator():
with plugin_context(plugin):
# Dummy sentinel. Has to be inside the context block or we're
# not actually keeping the context around.
yield None
yield from gen
# The trick is to start the generator. Then the code execution runs until
# the first dummy None is yielded at which point the context was already
# pushed. This item is discarded. Then when the iteration continues the
# real generator is executed.
wrapped_g = generator()
next(wrapped_g)
return wrapped_g
def wrap_macro_in_plugin_context(plugin, macro):
"""Wrap a macro inside a plugin context"""
func = macro._func
@internalcode
@wraps(func)
def decorator(*args, **kwargs):
with plugin_context(plugin):
return func(*args, **kwargs)
macro._func = decorator
class classproperty(property):
def __get__(self, obj, type=None):
return self.fget.__get__(None, type)()
def make_hashable(obj):
"""Make an object containing dicts and lists hashable."""
if isinstance(obj, list):
return tuple(obj)
elif isinstance(obj, dict):
return frozenset((k, make_hashable(v)) for k, v in obj.items())
return obj
# http://wiki.python.org/moin/PythonDecoratorLibrary#Alternate_memoize_as_nested_functions
def memoize(obj):
cache = {}
@wraps(obj)
def memoizer(*args, **kwargs):
key = (make_hashable(args), make_hashable(kwargs))
if key not in cache:
cache[key] = obj(*args, **kwargs)
return cache[key]
return memoizer
@memoize
def wrap_in_plugin_context(plugin, func):
assert plugin is not None
@wraps(func)
def wrapped(*args, **kwargs):
with plugin.plugin_context():
return func(*args, **kwargs)
return wrapped
def with_plugin_context(plugin):
"""Decorator to ensure a function is always called in the given plugin context.
:param plugin: Plugin instance
"""
def decorator(f):
return wrap_in_plugin_context(plugin, f)
return decorator
def trim_docstring(docstring):
"""Trim a docstring based on the algorithm in PEP 257
http://legacy.python.org/dev/peps/pep-0257/#handling-docstring-indentation
"""
if not docstring:
return ''
# Convert tabs to spaces (following the normal Python rules)
# and split into a list of lines:
lines = docstring.expandtabs().splitlines()
# Determine minimum indentation (first line doesn't count):
indent = sys.maxsize
for line in lines[1:]:
stripped = line.lstrip()
if stripped:
indent = min(indent, len(line) - len(stripped))
# Remove indentation (first line is special):
trimmed = [lines[0].strip()]
if indent < sys.maxsize:
for line in lines[1:]:
trimmed.append(line[indent:].rstrip())
# Strip off trailing and leading blank lines:
while trimmed and not trimmed[-1]:
trimmed.pop()
while trimmed and not trimmed[0]:
trimmed.pop(0)
# Return a single string:
return '\n'.join(trimmed) | PypiClean |
/Flask_AdminLTE3-1.0.9-py3-none-any.whl/flask_adminlte3/static/plugins/moment/locale/hr.js |
;(function (global, factory) {
typeof exports === 'object' && typeof module !== 'undefined'
&& typeof require === 'function' ? factory(require('../moment')) :
typeof define === 'function' && define.amd ? define(['../moment'], factory) :
factory(global.moment)
}(this, (function (moment) { 'use strict';
//! moment.js locale configuration
function translate(number, withoutSuffix, key) {
var result = number + ' ';
switch (key) {
case 'ss':
if (number === 1) {
result += 'sekunda';
} else if (number === 2 || number === 3 || number === 4) {
result += 'sekunde';
} else {
result += 'sekundi';
}
return result;
case 'm':
return withoutSuffix ? 'jedna minuta' : 'jedne minute';
case 'mm':
if (number === 1) {
result += 'minuta';
} else if (number === 2 || number === 3 || number === 4) {
result += 'minute';
} else {
result += 'minuta';
}
return result;
case 'h':
return withoutSuffix ? 'jedan sat' : 'jednog sata';
case 'hh':
if (number === 1) {
result += 'sat';
} else if (number === 2 || number === 3 || number === 4) {
result += 'sata';
} else {
result += 'sati';
}
return result;
case 'dd':
if (number === 1) {
result += 'dan';
} else {
result += 'dana';
}
return result;
case 'MM':
if (number === 1) {
result += 'mjesec';
} else if (number === 2 || number === 3 || number === 4) {
result += 'mjeseca';
} else {
result += 'mjeseci';
}
return result;
case 'yy':
if (number === 1) {
result += 'godina';
} else if (number === 2 || number === 3 || number === 4) {
result += 'godine';
} else {
result += 'godina';
}
return result;
}
}
var hr = moment.defineLocale('hr', {
months: {
format: 'siječnja_veljače_ožujka_travnja_svibnja_lipnja_srpnja_kolovoza_rujna_listopada_studenoga_prosinca'.split(
'_'
),
standalone: 'siječanj_veljača_ožujak_travanj_svibanj_lipanj_srpanj_kolovoz_rujan_listopad_studeni_prosinac'.split(
'_'
),
},
monthsShort: 'sij._velj._ožu._tra._svi._lip._srp._kol._ruj._lis._stu._pro.'.split(
'_'
),
monthsParseExact: true,
weekdays: 'nedjelja_ponedjeljak_utorak_srijeda_četvrtak_petak_subota'.split(
'_'
),
weekdaysShort: 'ned._pon._uto._sri._čet._pet._sub.'.split('_'),
weekdaysMin: 'ne_po_ut_sr_če_pe_su'.split('_'),
weekdaysParseExact: true,
longDateFormat: {
LT: 'H:mm',
LTS: 'H:mm:ss',
L: 'DD.MM.YYYY',
LL: 'Do MMMM YYYY',
LLL: 'Do MMMM YYYY H:mm',
LLLL: 'dddd, Do MMMM YYYY H:mm',
},
calendar: {
sameDay: '[danas u] LT',
nextDay: '[sutra u] LT',
nextWeek: function () {
switch (this.day()) {
case 0:
return '[u] [nedjelju] [u] LT';
case 3:
return '[u] [srijedu] [u] LT';
case 6:
return '[u] [subotu] [u] LT';
case 1:
case 2:
case 4:
case 5:
return '[u] dddd [u] LT';
}
},
lastDay: '[jučer u] LT',
lastWeek: function () {
switch (this.day()) {
case 0:
return '[prošlu] [nedjelju] [u] LT';
case 3:
return '[prošlu] [srijedu] [u] LT';
case 6:
return '[prošle] [subote] [u] LT';
case 1:
case 2:
case 4:
case 5:
return '[prošli] dddd [u] LT';
}
},
sameElse: 'L',
},
relativeTime: {
future: 'za %s',
past: 'prije %s',
s: 'par sekundi',
ss: translate,
m: translate,
mm: translate,
h: translate,
hh: translate,
d: 'dan',
dd: translate,
M: 'mjesec',
MM: translate,
y: 'godinu',
yy: translate,
},
dayOfMonthOrdinalParse: /\d{1,2}\./,
ordinal: '%d.',
week: {
dow: 1, // Monday is the first day of the week.
doy: 7, // The week that contains Jan 7th is the first week of the year.
},
});
return hr;
}))); | PypiClean |
/NEURON_gpu-8.2.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl/neuron/rxd/geometry.py | import warnings
import numpy
from neuron import h, nrn
from .rxdException import RxDException
try:
from neuron.rxd import geometry3d
has_geometry3d = True
except ImportError:
has_geometry3d = False
class RxDGeometry:
def volumes1d(self, sec):
raise RxDException("volume1d unimplemented")
def surface_areas1d(self, sec):
raise RxDException("surface_areas1d unimplemented")
def neighbor_areas1d(self, sec):
raise RxDException("neighbor_areas1d unimplemented")
def is_volume(self):
raise RxDException("is_volume unimplemented")
def is_area(self):
raise RxDException("is_area unimplemented")
def __call__(self):
"""calling returns self to allow for rxd.inside or rxd.inside()"""
return self
def _volumes1d(sec):
if not isinstance(sec, nrn.Section):
sec = sec._sec
arc3d = [sec.arc3d(i) for i in range(sec.n3d())]
diam3d = [sec.diam3d(i) for i in range(sec.n3d())]
vols = numpy.zeros(sec.nseg)
dx = sec.L / sec.nseg
for iseg in range(sec.nseg):
# get a list of all pts in the segment, including end points
lo = iseg * dx
hi = (iseg + 1) * dx
pts = [lo] + [x for x in arc3d if lo < x < hi] + [hi]
diams = numpy.interp(pts, arc3d, diam3d)
# sum the volume of the constituent frusta
volume = 0
for i in range(len(pts) - 1):
diam0, diam1 = diams[i : i + 2]
pt0, pt1 = pts[i : i + 2]
volume += (
numpy.pi
* (pt1 - pt0)
/ 12.0
* (diam0**2 + diam0 * diam1 + diam1**2)
)
vols[iseg] = volume
return vols
def _make_surfacearea1d_function(scale, diam_scale=1.0):
def result(sec):
if not isinstance(sec, nrn.Section):
sec = sec._sec
arc3d = [sec.arc3d(i) for i in range(sec.n3d())]
diam3d = [sec.diam3d(i) * diam_scale for i in range(sec.n3d())]
sas = numpy.zeros(sec.nseg)
dx = sec.L / sec.nseg
for iseg in range(sec.nseg):
# get a list of all pts in the segment, including end points
lo = iseg * dx
hi = (iseg + 1) * dx
pts = [lo] + [x for x in arc3d if lo < x < hi] + [hi]
diams = numpy.interp(pts, arc3d, diam3d)
# sum the surface areas of the constituent frusta
sa = 0
for i in range(len(pts) - 1):
diam0, diam1 = diams[i : i + 2]
pt0, pt1 = pts[i : i + 2]
sa += (
scale
* 0.5
* (diam0 + diam1)
* numpy.sqrt(0.25 * (diam0 - diam1) ** 2 + (pt1 - pt0) ** 2)
)
sas[iseg] = sa
return sas
return result
def _make_perimeter_function(scale, diam_scale=1.0):
def result(sec):
if not isinstance(sec, nrn.Section):
sec = sec._sec
arc3d = [sec.arc3d(i) for i in range(sec.n3d())]
diam3d = [sec.diam3d(i) * diam_scale for i in range(sec.n3d())]
area_pos = numpy.linspace(0, sec.L, sec.nseg + 1)
diams = numpy.interp(area_pos, arc3d, diam3d)
return scale * diams
return result
_surface_areas1d = _make_surfacearea1d_function(numpy.pi)
_perimeter1d = _make_perimeter_function(numpy.pi)
def _neighbor_areas1d(sec):
if not isinstance(sec, nrn.Section):
sec = sec._sec
arc3d = [sec.arc3d(i) for i in range(sec.n3d())]
diam3d = [sec.diam3d(i) for i in range(sec.n3d())]
area_pos = numpy.linspace(0, sec.L, sec.nseg + 1)
diams = numpy.interp(area_pos, arc3d, diam3d)
return numpy.pi * 0.25 * diams**2
def constant_function_per_length(value):
return lambda sec: [value * sec.L / sec.nseg for i in range(sec.nseg)]
def constant_everywhere_1d(value):
return lambda sec: value * numpy.ones(sec.nseg)
def constant_everywhere_plus_one_1d(value):
return lambda sec: value * numpy.ones(sec.nseg + 1)
def constant_function(value):
return lambda *args, **kwargs: value
def scale_by_constant(scale, f):
return lambda *args, **kwargs: scale * f(*args, **kwargs)
_always_true = constant_function(True)
_always_false = constant_function(False)
_always_0 = constant_function(0)
inside = RxDGeometry()
if has_geometry3d:
inside.volumes3d = geometry3d.voxelize2
# neighbor_area_fraction can be a constant or a function
inside.neighbor_area_fraction = 1
inside.volumes1d = _volumes1d
inside.surface_areas1d = _surface_areas1d
inside.neighbor_areas1d = _neighbor_areas1d
inside.is_volume = _always_true
inside.is_area = _always_false
inside.__repr__ = constant_function("inside")
# TODO: make a version that allows arbitrary shells?
membrane = RxDGeometry()
membrane.volumes1d = _surface_areas1d
membrane.surface_areas1d = _always_0
membrane.neighbor_areas1d = _perimeter1d
membrane.is_volume = _always_false
membrane.is_area = _always_true
membrane.__repr__ = constant_function("membrane")
class Enum:
"""a silly way of creating unique identifiers without using/allowing/requiring magic constants"""
pass
_lo_hi_shell = Enum()
class DistributedBoundary(RxDGeometry):
"""Boundary that scales with area.
DistributedBoundary(area_per_vol, perim_per_area=0)
area_per_vol is the area of the boundary as a function of the volume
containing it. e.g.
g = DistributedBoundary(2) defines a geometry with 2 um^2 of area per
every um^3 of volume.
perim_per_area is the perimeter (in um) per 1 um^2 cross section of the
volume. For use in reaction-diffusion problems, it may be safely omitted
if and only if no species in the corresponding region diffuses.
This is often useful for separating FractionalVolume objects.
It is assumed that the area is always strictly on the interior.
"""
def __init__(self, area_per_vol, perim_per_area=0):
self._area_per_vol = area_per_vol
self._perim_per_area = 0
self.surface_areas1d = _always_0
self.neighbor_areas1d = scale_by_constant(perim_per_area, _neighbor_areas1d)
self.volumes1d = scale_by_constant(area_per_vol, _volumes1d)
self.is_volume = _always_false
self.is_area = _always_true
@property
def neighbor_area_fraction(self):
# TODO: validate that this gives consistent results between 1D and 3D
return self._perim_per_area
def volumes3d(
self,
source,
dx=0.25,
xlo=None,
xhi=None,
ylo=None,
yhi=None,
zlo=None,
zhi=None,
n_soma_step=100,
):
# mesh, surface_areas, volumes, triangles = geometry3d.voxelize2(source, dx=dx)
# volumes._values *= self._area_per_vol # volume on 2D boundaries is actually the area; the amount of space for holding things
# surface_areas._values *= 0
# return mesh, surface_areas, volumes, triangles
internal_voxels, surface_voxels, mesh_grid = geometry3d.voxelize2(source, dx=dx)
area_per_vol = self._area_per_vol
for key in internal_voxels:
internal_voxels[key][0] *= area_per_vol
for key in surface_voxels:
surface_voxels[key][0] *= area_per_vol
return internal_voxels, surface_voxels, mesh_grid
def __repr__(self):
if self._perim_per_area == 0:
return "DistributedBoundary(%g)" % (self._area_per_vol)
else:
return "DistributedBoundary(%g, perim_per_area=%g)" % (
self._area_per_vol,
self._perim_per_area,
)
class FractionalVolume(RxDGeometry):
def __init__(
self, volume_fraction=1, surface_fraction=0, neighbor_areas_fraction=None
):
if neighbor_areas_fraction is None:
neighbor_areas_fraction = volume_fraction
if surface_fraction == 0:
self.surface_areas1d = _always_0
elif surface_fraction == 1:
self.surface_areas1d = _surface_areas1d
else:
self.surface_areas1d = scale_by_constant(surface_fraction, _surface_areas1d)
# TODO: add the if statement so not scaling if 0 or 1
self.neighbor_areas1d = scale_by_constant(
neighbor_areas_fraction, _neighbor_areas1d
)
self.volumes1d = scale_by_constant(volume_fraction, _volumes1d)
self.is_volume = _always_true
self.is_area = _always_false
self._volume_fraction = volume_fraction
self._surface_fraction = surface_fraction
self._neighbor_areas_fraction = neighbor_areas_fraction
# TODO: does the else case ever make sense?
self.neighbor_area_fraction = (
volume_fraction
if neighbor_areas_fraction is None
else neighbor_areas_fraction
)
def volumes3d(
self,
source,
dx=0.25,
xlo=None,
xhi=None,
ylo=None,
yhi=None,
zlo=None,
zhi=None,
n_soma_step=100,
):
# mesh, surface_areas, volumes, triangles = geometry3d.voxelize2(source, dx=dx)
# surface_areas._values *= self._surface_fraction
# volumes._values *= self._volume_fraction
# return mesh, surface_areas, volumes, triangles
internal_voxels, surface_voxels, mesh_grid = geometry3d.voxelize2(source, dx=dx)
volume_fraction = self._volume_fraction
for key in internal_voxels:
internal_voxels[key][0] *= volume_fraction
for key in surface_voxels:
surface_voxels[key][0] *= volume_fraction
return internal_voxels, surface_voxels, mesh_grid
def __repr__(self):
return (
"FractionalVolume(volume_fraction=%r, surface_fraction=%r, neighbor_areas_fraction=%r)"
% (
self._volume_fraction,
self._surface_fraction,
self._neighbor_areas_fraction,
)
)
# TODO: eliminate this class and replace with FixedCrossSection?
class ConstantVolume(RxDGeometry):
# TODO: do we want different default neighbor_area?
def __init__(self, volume=1, surface_area=0, neighbor_area=1):
"""volume, surface_area per unit length"""
self.volumes1d = constant_function_per_length(volume)
self.surface_areas1d = constant_function_per_length(surface_area)
self.is_volume = _always_true
self.is_area = _always_false
self.neighbor_areas1d = constant_everywhere_plus_one_1d(neighbor_area)
class FixedCrossSection(RxDGeometry):
def __init__(self, cross_area, surface_area=0):
self.volumes1d = constant_function_per_length(cross_area)
self.surface_areas1d = constant_function_per_length(surface_area)
self.is_volume = _always_true
self.is_area = _always_false
self.neighbor_areas1d = constant_everywhere_plus_one_1d(cross_area)
self._cross_area = cross_area
self._surface_area = surface_area
def __repr__(self):
return "FixedCrossSection(%r, surface_area=%r)" % (
self._cross_area,
self._surface_area,
)
class FixedPerimeter(RxDGeometry):
def __init__(self, perimeter, on_cell_surface=False):
self.volumes1d = constant_function_per_length(perimeter)
self.surface_areas1d = _always_0 if not on_cell_surface else self.volumes1d
self._perim = perimeter
self.is_volume = _always_false
self.is_area = _always_true
self._on_surface = on_cell_surface
def neighbor_areas1d(self, sec):
return [self._perim] * (sec.nseg + 1)
def __repr__(self):
return "FixedPerimeter(%r, on_cell_surface=%r)" % (
self._perim,
self._on_surface,
)
class ScalableBorder(RxDGeometry):
"""a membrane that scales proportionally with the diameter.
Example use:
- the boundary between radial shells e.g.
ScalableBorder(diam_scale=0.5) could represent the border of
Shell(lo=0, hi=0.5)
Args:
scale (float, optional) scale the area, default value is π.
e.g. for a cylinder of length L and diameter d, ScalableBorder will
give an area scale*d*L, by default the surface area.
For cylindrical sections only. Use "diam_scale" instead to correctly
handle cylindrical and non-cylindrical sections.
diam_scale (float, optional), scale the diameter, default value is 1.
e.g. for a cylinder of length L and diameter d, ScalableBorder will
give an area diam_scale*π*d*L, by default the surface area.
Note: Provide either a scale or diam_scale, not both.
Sometimes useful for the boundary between FractionalVolume objects, but
see also DistributedBoundary which scales with area.
"""
def __init__(self, scale=None, diam_scale=None, on_cell_surface=False):
if scale is not None and diam_scale is not None:
raise RxDException(
"ScalableBorder either provide scale or diam_scale, not both"
)
elif diam_scale is not None:
self._scale = numpy.pi
self._diam_scale = diam_scale
elif scale is not None:
self._scale = scale
self._diam_scale = 1.0
else:
self._scale = numpy.pi
self._diam_scale = 1.0
self.volumes1d = _make_surfacearea1d_function(self._scale, self._diam_scale)
self.surface_areas1d = _always_0 if not on_cell_surface else self.volumes1d
self.is_volume = _always_false
self.is_area = _always_true
self.neighbor_areas1d = _make_perimeter_function(self._scale, self._diam_scale)
self._on_surface = on_cell_surface
def __repr__(self):
return "ScalableBorder(%r, on_cell_surface=%r)" % (
self._scale,
self._on_surface,
)
# TODO: remove this, use FixedPerimeter instead?
class ConstantArea(RxDGeometry):
def __init__(self, area=1, perim=1, on_cell_surface=False):
# TODO: fix this
warnings.warn("ConstantArea probably not right")
self.volumes1d = constant_function(area)
self.surface_areas1d = (
_always_0 if not on_cell_surface else constant_function(area)
)
self._perim = perim
self.is_volume = _always_false
self.is_area = _always_true
def neighbor_areas1d(self, sec):
return [self._perim] * (sec.nseg + 1)
# TODO: is there a better name than Shell?
class Shell(RxDGeometry):
def __init__(self, lo=None, hi=None):
if lo is None or hi is None:
raise RxDException("only Shells with a lo and hi are supported for now")
if lo > hi:
lo, hi = hi, lo
if lo == hi:
raise RxDException("Shell objects must have thickness")
self._type = _lo_hi_shell
self._lo = lo
self._hi = hi
if lo == 1 or hi == 1:
self.surface_areas1d = _surface_areas1d
elif lo < 1 < hi:
raise RxDException(
"shells may not cross the membrane; i.e. 1 cannot lie strictly between lo and hi"
)
else:
# TODO: is this what we want; e.g. what if lo < 1 < hi?
self.surface_areas1d = _always_0
def __repr__(self):
return "Shell(lo=%r, hi=%r)" % (self._lo, self._hi)
def neighbor_areas1d(self, sec):
if not isinstance(sec, nrn.Section):
sec = sec._sec
arc3d = [sec.arc3d(i) for i in range(sec.n3d())]
diam3d = [sec.diam3d(i) for i in range(sec.n3d())]
area_pos = numpy.linspace(0, sec.L, sec.nseg + 1)
diams = numpy.interp(area_pos, arc3d, diam3d)
if self._type == _lo_hi_shell:
return numpy.pi * 0.25 * ((diams * self._hi) ** 2 - (diams * self._lo) ** 2)
def is_volume(self):
return True
def is_area(self):
return False
def volumes1d(self, sec):
if not isinstance(sec, nrn.Section):
sec = sec._sec
arc3d = [sec.arc3d(i) for i in range(sec.n3d())]
diam3d = [sec.diam3d(i) for i in range(sec.n3d())]
vols = numpy.zeros(sec.nseg)
dx = sec.L / sec.nseg
for iseg in range(sec.nseg):
# get a list of all pts in the segment, including end points
lo = iseg * dx
hi = (iseg + 1) * dx
pts = [lo] + [x for x in arc3d if lo < x < hi] + [hi]
diams = numpy.interp(pts, arc3d, diam3d)
# sum the volume of the constituent frusta, hollowing out by the inside
volume = 0
for i in range(len(pts) - 1):
diam0h, diam1h = self._hi * diams[i : i + 2]
diam0l, diam1l = self._lo * diams[i : i + 2]
pt0, pt1 = pts[i : i + 2]
volume += (
numpy.pi
* (pt1 - pt0)
/ 12.0
* (
(diam0h**2 + diam0h * diam1h + diam1h**2)
- (diam0l**2 + diam0l * diam1l + diam1l**2)
)
)
vols[iseg] = volume
return vols
class MultipleGeometry(RxDGeometry):
"""support for different geometries on different sections of a region.
Example use:
- for radial diffusion in a dendrite (dend) with longitudinal diffusion
from a spine (spine). The region for the outer shell of the dendrite
(0.8,1] should include the while spine [0,1];
MultipleGeometry(secs=[dend,spine], geos=[Shell(0.8,1), rxd.inside])
Args:
sections (list, optional) a list or list-of-lists of sections where the
corresponding geometry should be used. If None the same geometry used
for all sections, otherwise the list must be the same length as the
geos list.
If None is in the list, then the corresponding geometry in geos is used
as a default value for any section not included in the lists.
geometries (list) a list of geometries that are used for the corresponding
list of sections in secs. All geometries must be volumes or all
all geometries must be areas.
"""
def __init__(self, secs=None, geos=None):
self._secs = {}
self._default = None
if not secs:
if isinstance(geos, list):
self._default = geos[0]
elif isinstance(geos, RxDGeometry):
self._default = geos
else:
raise RxDException(
"MultipleGeometry requires a list-of-lists of sections and their corresponding geometry"
)
else:
assert len(secs) == len(geos)
if all([g.is_area() for g in geos]):
self.is_area = _always_true
self.is_volume = _always_false
elif all([g.is_volume() for g in geos]):
self.is_area = _always_false
self.is_volume = _always_true
else:
raise RxDException(
"MultipleGeometry requires all geometries are areas or all geometries are volumes"
)
for s, g in zip(secs, geos):
if not s:
self._default = g
elif isinstance(s, list):
self._secs[h.SectionList(s)] = g
else:
self._secs[h.SectionList([s])] = g
def __repr__(self):
secs = [[s for s in sl] for sl in self._secs]
geos = [self._secs[sl] for sl in self._secs]
return "MultipleGeometry(secs=%r, geos=%r)" % (secs, geos)
def _get_geo(self, sec):
if not isinstance(sec, nrn.Section):
sec = sec._sec
for sl in self._secs:
if sec in sl:
geo = self._secs[sl]
break
else:
if self._default:
geo = self._default
else:
raise RxDException(
"MultipleGeometry is not defined on section %r" % sec
)
return geo
def volumes1d(self, sec):
return self._get_geo(sec).volumes1d(sec)
def surface_areas1d(self, sec):
return self._get_geo(sec).surface_areas1d(sec)
def neighbor_areas1d(self, sec):
return self._get_geo(sec).neighbor_areas1d(sec) | PypiClean |
/Beat_ML1-0.13.1.tar.gz/Beat_ML1-0.13.1/econml/_cate_estimator.py | # Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
"""Base classes for all CATE estimators."""
import abc
import numpy as np
from functools import wraps
from copy import deepcopy
from warnings import warn
from .inference import BootstrapInference
from .utilities import (tensordot, ndim, reshape, shape, parse_final_model_params,
inverse_onehot, Summary, get_input_columns, check_input_arrays)
from .inference import StatsModelsInference, StatsModelsInferenceDiscrete, LinearModelFinalInference,\
LinearModelFinalInferenceDiscrete, NormalInferenceResults, GenericSingleTreatmentModelFinalInference,\
GenericModelFinalInferenceDiscrete
from ._shap import _shap_explain_cme, _shap_explain_joint_linear_model_cate
from .dowhy import DoWhyWrapper
class BaseCateEstimator(metaclass=abc.ABCMeta):
"""Base class for all CATE estimators in this package."""
def _get_inference_options(self):
"""
Produce a dictionary mapping string names to :class:`.Inference` types.
This is used by the :meth:`fit` method when a string is passed rather than an :class:`.Inference` type.
"""
return {'bootstrap': BootstrapInference}
def _get_inference(self, inference):
options = self._get_inference_options()
if isinstance(inference, str):
if inference in options:
inference = options[inference]()
else:
raise ValueError("Inference option '%s' not recognized; valid values are %s" %
(inference, [*options]))
# since inference objects can be stateful, we must copy it before fitting;
# otherwise this sequence wouldn't work:
# est1.fit(..., inference=inf)
# est2.fit(..., inference=inf)
# est1.effect_interval(...)
# because inf now stores state from fitting est2
return deepcopy(inference)
def _set_input_names(self, Y, T, X, set_flag=False):
"""Set input column names if inputs have column metadata."""
self._input_names = {
"feature_names": get_input_columns(X, prefix="X"),
"output_names": get_input_columns(Y, prefix="Y"),
"treatment_names": get_input_columns(T, prefix="T")
}
if set_flag:
# This flag is true when names are set in a child class instead
# If names are set in a child class, add an attribute reflecting that
self._input_names_set = True
def _strata(self, Y, T, *args, **kwargs):
"""
Get an array of values representing strata that should be preserved by bootstrapping. For example,
if treatment is discrete, then each bootstrapped estimator needs to be given at least one instance
with each treatment type. For estimators like DRIV, then the same is true of the combination of
treatment and instrument. The arguments to this method will match those to fit.
Returns
-------
strata : array or None
A vector with the same number of rows as the inputs, where the unique values represent
the strata that need to be preserved by bootstrapping, or None if no preservation is necessary.
"""
return None
def _prefit(self, Y, T, *args, **kwargs):
self._d_y = np.shape(Y)[1:]
self._d_t = np.shape(T)[1:]
# This works only if X is passed as a kwarg
# We plan to enforce X as kwarg only in future releases
if not hasattr(self, "_input_names_set") or not self._input_names_set:
# This checks if names have been set in a child class
# If names were set in a child class, don't do it again
X = kwargs.get('X')
self._set_input_names(Y, T, X)
def _postfit(self, Y, T, *args, **kwargs):
# Wraps-up fit by setting attributes, cleaning up, etc.
pass
@abc.abstractmethod
def fit(self, *args, inference=None, **kwargs):
"""
Estimate the counterfactual model from data, i.e. estimates functions
:math:`\\tau(X, T0, T1)`, :math:`\\partial \\tau(T, X)`.
Note that the signature of this method may vary in subclasses (e.g. classes that don't
support instruments will not allow a `Z` argument)
Parameters
----------
Y: (n, d_y) matrix or vector of length n
Outcomes for each sample
T: (n, d_t) matrix or vector of length n
Treatments for each sample
X: optional (n, d_x) matrix
Features for each sample
W: optional (n, d_w) matrix
Controls for each sample
Z: optional (n, d_z) matrix
Instruments for each sample
inference: optional string, :class:`.Inference` instance, or None
Method for performing inference. All estimators support ``'bootstrap'``
(or an instance of :class:`.BootstrapInference`), some support other methods as well.
Returns
-------
self
"""
pass
def _wrap_fit(m):
@wraps(m)
def call(self, Y, T, *args, inference=None, **kwargs):
inference = self._get_inference(inference)
self._prefit(Y, T, *args, **kwargs)
if inference is not None:
inference.prefit(self, Y, T, *args, **kwargs)
# call the wrapped fit method
m(self, Y, T, *args, **kwargs)
self._postfit(Y, T, *args, **kwargs)
if inference is not None:
# NOTE: we call inference fit *after* calling the main fit method
inference.fit(self, Y, T, *args, **kwargs)
self._inference = inference
return self
return call
@abc.abstractmethod
def effect(self, X=None, *, T0, T1):
"""
Calculate the heterogeneous treatment effect :math:`\\tau(X, T0, T1)`.
The effect is calculated between the two treatment points
conditional on a vector of features on a set of m test samples :math:`\\{T0_i, T1_i, X_i\\}`.
Parameters
----------
T0: (m, d_t) matrix or vector of length m
Base treatments for each sample
T1: (m, d_t) matrix or vector of length m
Target treatments for each sample
X: optional (m, d_x) matrix
Features for each sample
Returns
-------
τ: (m, d_y) matrix
Heterogeneous treatment effects on each outcome for each sample
Note that when Y is a vector rather than a 2-dimensional array, the corresponding
singleton dimension will be collapsed (so this method will return a vector)
"""
pass
@abc.abstractmethod
def marginal_effect(self, T, X=None):
"""
Calculate the heterogeneous marginal effect :math:`\\partial\\tau(T, X)`.
The marginal effect is calculated around a base treatment
point conditional on a vector of features on a set of m test samples :math:`\\{T_i, X_i\\}`.
Parameters
----------
T: (m, d_t) matrix
Base treatments for each sample
X: optional (m, d_x) matrix
Features for each sample
Returns
-------
grad_tau: (m, d_y, d_t) array
Heterogeneous marginal effects on each outcome for each sample
Note that when Y or T is a vector rather than a 2-dimensional array,
the corresponding singleton dimensions in the output will be collapsed
(e.g. if both are vectors, then the output of this method will also be a vector)
"""
pass
def ate(self, X=None, *, T0, T1):
"""
Calculate the average treatment effect :math:`E_X[\\tau(X, T0, T1)]`.
The effect is calculated between the two treatment points and is averaged over
the population of X variables.
Parameters
----------
T0: (m, d_t) matrix or vector of length m
Base treatments for each sample
T1: (m, d_t) matrix or vector of length m
Target treatments for each sample
X: optional (m, d_x) matrix
Features for each sample
Returns
-------
τ: float or (d_y,) array
Average treatment effects on each outcome
Note that when Y is a vector rather than a 2-dimensional array, the result will be a scalar
"""
return np.mean(self.effect(X=X, T0=T0, T1=T1), axis=0)
def cate_feature_names(self, feature_names=None):
"""Public interface for getting feature names.
To be overriden by estimators that apply transformations the input features.
Parameters
----------
feature_names: list of strings of length X.shape[1] or None
The names of the input features. If None and X is a dataframe, it defaults to the column names
from the dataframe.
Returns
-------
out_feature_names: list of strings or None
Returns feature names.
"""
if feature_names is not None:
return feature_names
if hasattr(self, "_input_names"):
return self._input_names["feature_names"]
return None
def cate_output_names(self, output_names=None):
"""
Public interface for getting output names.
To be overriden by estimators that apply transformations the outputs.
Parameters
----------
output_names: list of strings of length Y.shape[1] or None
The names of the outcomes. If None and the Y passed to fit was a dataframe,
it defaults to the column names from the dataframe.
Returns
-------
output_names: list of strings
Returns output names.
"""
if output_names is not None:
return output_names
if hasattr(self, "_input_names"):
return self._input_names["output_names"]
return None
def cate_treatment_names(self, treatment_names=None):
"""
Public interface for getting treatment names.
To be overriden by estimators that apply transformations the treatments.
Parameters
----------
treatment_names: list of strings of length T.shape[1] or None
The names of the treatments. If None and the T passed to fit was a dataframe,
it defaults to the column names from the dataframe.
Returns
-------
treatment_names: list of strings
Returns treatment names.
"""
if treatment_names is not None:
return treatment_names
if hasattr(self, "_input_names"):
return self._input_names["treatment_names"]
return None
def marginal_ate(self, T, X=None):
"""
Calculate the average marginal effect :math:`E_{T, X}[\\partial\\tau(T, X)]`.
The marginal effect is calculated around a base treatment
point and averaged over the population of X.
Parameters
----------
T: (m, d_t) matrix
Base treatments for each sample
X: optional (m, d_x) matrix
Features for each sample
Returns
-------
grad_tau: (d_y, d_t) array
Average marginal effects on each outcome
Note that when Y or T is a vector rather than a 2-dimensional array,
the corresponding singleton dimensions in the output will be collapsed
(e.g. if both are vectors, then the output of this method will be a scalar)
"""
return np.mean(self.marginal_effect(T, X=X), axis=0)
def _expand_treatments(self, X=None, *Ts):
"""
Given a set of features and treatments, return possibly modified features and treatments.
Parameters
----------
X: optional (m, d_x) matrix
Features for each sample, or None
Ts: sequence of (m, d_t) matrices
Base treatments for each sample
Returns
-------
output : tuple (X',T0',T1',...)
"""
return (X,) + Ts
def _defer_to_inference(m):
@wraps(m)
def call(self, *args, **kwargs):
name = m.__name__
if self._inference is not None:
return getattr(self._inference, name)(*args, **kwargs)
else:
raise AttributeError("Can't call '%s' because 'inference' is None" % name)
return call
@_defer_to_inference
def effect_interval(self, X=None, *, T0=0, T1=1, alpha=0.05):
""" Confidence intervals for the quantities :math:`\\tau(X, T0, T1)` produced
by the model. Available only when ``inference`` is not ``None``, when
calling the fit method.
Parameters
----------
X: optional (m, d_x) matrix
Features for each sample
T0: optional (m, d_t) matrix or vector of length m (Default=0)
Base treatments for each sample
T1: optional (m, d_t) matrix or vector of length m (Default=1)
Target treatments for each sample
alpha: optional float in [0, 1] (Default=0.05)
The overall level of confidence of the reported interval.
The alpha/2, 1-alpha/2 confidence interval is reported.
Returns
-------
lower, upper : tuple(type of :meth:`effect(X, T0, T1)<effect>`, type of :meth:`effect(X, T0, T1))<effect>` )
The lower and the upper bounds of the confidence interval for each quantity.
"""
pass
@_defer_to_inference
def effect_inference(self, X=None, *, T0=0, T1=1):
""" Inference results for the quantities :math:`\\tau(X, T0, T1)` produced
by the model. Available only when ``inference`` is not ``None``, when
calling the fit method.
Parameters
----------
X: optional (m, d_x) matrix
Features for each sample
T0: optional (m, d_t) matrix or vector of length m (Default=0)
Base treatments for each sample
T1: optional (m, d_t) matrix or vector of length m (Default=1)
Target treatments for each sample
Returns
-------
InferenceResults: object
The inference results instance contains prediction and prediction standard error and
can on demand calculate confidence interval, z statistic and p value. It can also output
a dataframe summary of these inference results.
"""
pass
@_defer_to_inference
def marginal_effect_interval(self, T, X=None, *, alpha=0.05):
""" Confidence intervals for the quantities :math:`\\partial \\tau(T, X)` produced
by the model. Available only when ``inference`` is not ``None``, when
calling the fit method.
Parameters
----------
T: (m, d_t) matrix
Base treatments for each sample
X: optional (m, d_x) matrix or None (Default=None)
Features for each sample
alpha: optional float in [0, 1] (Default=0.05)
The overall level of confidence of the reported interval.
The alpha/2, 1-alpha/2 confidence interval is reported.
Returns
-------
lower, upper : tuple(type of :meth:`marginal_effect(T, X)<marginal_effect>`, \
type of :meth:`marginal_effect(T, X)<marginal_effect>` )
The lower and the upper bounds of the confidence interval for each quantity.
"""
pass
@_defer_to_inference
def marginal_effect_inference(self, T, X=None):
""" Inference results for the quantities :math:`\\partial \\tau(T, X)` produced
by the model. Available only when ``inference`` is not ``None``, when
calling the fit method.
Parameters
----------
T: (m, d_t) matrix
Base treatments for each sample
X: optional (m, d_x) matrix or None (Default=None)
Features for each sample
Returns
-------
InferenceResults: object
The inference results instance contains prediction and prediction standard error and
can on demand calculate confidence interval, z statistic and p value. It can also output
a dataframe summary of these inference results.
"""
pass
@_defer_to_inference
def ate_interval(self, X=None, *, T0, T1, alpha=0.05):
""" Confidence intervals for the quantity :math:`E_X[\\tau(X, T0, T1)]` produced
by the model. Available only when ``inference`` is not ``None``, when
calling the fit method.
Parameters
----------
X: optional (m, d_x) matrix
Features for each sample
T0: optional (m, d_t) matrix or vector of length m (Default=0)
Base treatments for each sample
T1: optional (m, d_t) matrix or vector of length m (Default=1)
Target treatments for each sample
alpha: optional float in [0, 1] (Default=0.05)
The overall level of confidence of the reported interval.
The alpha/2, 1-alpha/2 confidence interval is reported.
Returns
-------
lower, upper : tuple(type of :meth:`ate(X, T0, T1)<ate>`, type of :meth:`ate(X, T0, T1))<ate>` )
The lower and the upper bounds of the confidence interval for each quantity.
"""
pass
@_defer_to_inference
def ate_inference(self, X=None, *, T0, T1):
""" Inference results for the quantity :math:`E_X[\\tau(X, T0, T1)]` produced
by the model. Available only when ``inference`` is not ``None``, when
calling the fit method.
Parameters
----------
X: optional (m, d_x) matrix
Features for each sample
T0: optional (m, d_t) matrix or vector of length m (Default=0)
Base treatments for each sample
T1: optional (m, d_t) matrix or vector of length m (Default=1)
Target treatments for each sample
Returns
-------
PopulationSummaryResults: object
The inference results instance contains prediction and prediction standard error and
can on demand calculate confidence interval, z statistic and p value. It can also output
a dataframe summary of these inference results.
"""
pass
@_defer_to_inference
def marginal_ate_interval(self, T, X=None, *, alpha=0.05):
""" Confidence intervals for the quantities :math:`E_{T,X}[\\partial \\tau(T, X)]` produced
by the model. Available only when ``inference`` is not ``None``, when
calling the fit method.
Parameters
----------
T: (m, d_t) matrix
Base treatments for each sample
X: optional (m, d_x) matrix or None (Default=None)
Features for each sample
alpha: optional float in [0, 1] (Default=0.05)
The overall level of confidence of the reported interval.
The alpha/2, 1-alpha/2 confidence interval is reported.
Returns
-------
lower, upper : tuple(type of :meth:`marginal_ate(T, X)<marginal_ate>`, \
type of :meth:`marginal_ate(T, X)<marginal_ate>` )
The lower and the upper bounds of the confidence interval for each quantity.
"""
pass
@_defer_to_inference
def marginal_ate_inference(self, T, X=None):
""" Inference results for the quantities :math:`E_{T,X}[\\partial \\tau(T, X)]` produced
by the model. Available only when ``inference`` is not ``None``, when
calling the fit method.
Parameters
----------
T: (m, d_t) matrix
Base treatments for each sample
X: optional (m, d_x) matrix or None (Default=None)
Features for each sample
Returns
-------
PopulationSummaryResults: object
The inference results instance contains prediction and prediction standard error and
can on demand calculate confidence interval, z statistic and p value. It can also output
a dataframe summary of these inference results.
"""
pass
@property
def dowhy(self):
""" Get an instance of :class:`.DoWhyWrapper` to allow other functionalities from dowhy package.
(e.g. causal graph, refutation test, etc.)
Returns
-------
DoWhyWrapper: instance
An instance of :class:`.DoWhyWrapper`
"""
return DoWhyWrapper(self)
class LinearCateEstimator(BaseCateEstimator):
"""Base class for all CATE estimators with linear treatment effects in this package."""
@abc.abstractmethod
def const_marginal_effect(self, X=None):
"""
Calculate the constant marginal CATE :math:`\\theta(·)`.
The marginal effect is conditional on a vector of
features on a set of m test samples X[i].
Parameters
----------
X: optional (m, d_x) matrix or None (Default=None)
Features for each sample.
Returns
-------
theta: (m, d_y, d_t) matrix or (d_y, d_t) matrix if X is None
Constant marginal CATE of each treatment on each outcome for each sample X[i].
Note that when Y or T is a vector rather than a 2-dimensional array,
the corresponding singleton dimensions in the output will be collapsed
(e.g. if both are vectors, then the output of this method will also be a vector)
"""
pass
def effect(self, X=None, *, T0, T1):
"""
Calculate the heterogeneous treatment effect :math:`\\tau(X, T0, T1)`.
The effect is calculated between the two treatment points
conditional on a vector of features on a set of m test samples :math:`\\{T0_i, T1_i, X_i\\}`.
Since this class assumes a linear effect, only the difference between T0ᵢ and T1ᵢ
matters for this computation.
Parameters
----------
T0: (m, d_t) matrix
Base treatments for each sample
T1: (m, d_t) matrix
Target treatments for each sample
X: optional (m, d_x) matrix
Features for each sample
Returns
-------
effect: (m, d_y) matrix (or length m vector if Y was a vector)
Heterogeneous treatment effects on each outcome for each sample.
Note that when Y is a vector rather than a 2-dimensional array, the corresponding
singleton dimension will be collapsed (so this method will return a vector)
"""
X, T0, T1 = self._expand_treatments(X, T0, T1)
# TODO: what if input is sparse? - there's no equivalent to einsum,
# but tensordot can't be applied to this problem because we don't sum over m
eff = self.const_marginal_effect(X)
# if X is None then the shape of const_marginal_effect will be wrong because the number
# of rows of T was not taken into account
if X is None:
eff = np.repeat(eff, shape(T0)[0], axis=0)
m = shape(eff)[0]
dT = T1 - T0
einsum_str = 'myt,mt->my'
if ndim(dT) == 1:
einsum_str = einsum_str.replace('t', '')
if ndim(eff) == ndim(dT): # y is a vector, rather than a 2D array
einsum_str = einsum_str.replace('y', '')
return np.einsum(einsum_str, eff, dT)
def marginal_effect(self, T, X=None):
"""
Calculate the heterogeneous marginal effect :math:`\\partial\\tau(T, X)`.
The marginal effect is calculated around a base treatment
point conditional on a vector of features on a set of m test samples :math:`\\{T_i, X_i\\}`.
Since this class assumes a linear model, the base treatment is ignored in this calculation.
Parameters
----------
T: (m, d_t) matrix
Base treatments for each sample
X: optional (m, d_x) matrix
Features for each sample
Returns
-------
grad_tau: (m, d_y, d_t) array
Heterogeneous marginal effects on each outcome for each sample
Note that when Y or T is a vector rather than a 2-dimensional array,
the corresponding singleton dimensions in the output will be collapsed
(e.g. if both are vectors, then the output of this method will also be a vector)
"""
X, T = self._expand_treatments(X, T)
eff = self.const_marginal_effect(X)
return np.repeat(eff, shape(T)[0], axis=0) if X is None else eff
def marginal_effect_interval(self, T, X=None, *, alpha=0.05):
X, T = self._expand_treatments(X, T)
effs = self.const_marginal_effect_interval(X=X, alpha=alpha)
if X is None: # need to repeat by the number of rows of T to ensure the right shape
effs = tuple(np.repeat(eff, shape(T)[0], axis=0) for eff in effs)
return effs
marginal_effect_interval.__doc__ = BaseCateEstimator.marginal_effect_interval.__doc__
def marginal_effect_inference(self, T, X=None):
X, T = self._expand_treatments(X, T)
cme_inf = self.const_marginal_effect_inference(X=X)
if X is None:
cme_inf = cme_inf._expand_outputs(shape(T)[0])
return cme_inf
marginal_effect_inference.__doc__ = BaseCateEstimator.marginal_effect_inference.__doc__
@BaseCateEstimator._defer_to_inference
def const_marginal_effect_interval(self, X=None, *, alpha=0.05):
""" Confidence intervals for the quantities :math:`\\theta(X)` produced
by the model. Available only when ``inference`` is not ``None``, when
calling the fit method.
Parameters
----------
X: optional (m, d_x) matrix or None (Default=None)
Features for each sample
alpha: optional float in [0, 1] (Default=0.05)
The overall level of confidence of the reported interval.
The alpha/2, 1-alpha/2 confidence interval is reported.
Returns
-------
lower, upper : tuple(type of :meth:`const_marginal_effect(X)<const_marginal_effect>` ,\
type of :meth:`const_marginal_effect(X)<const_marginal_effect>` )
The lower and the upper bounds of the confidence interval for each quantity.
"""
pass
@BaseCateEstimator._defer_to_inference
def const_marginal_effect_inference(self, X=None):
""" Inference results for the quantities :math:`\\theta(X)` produced
by the model. Available only when ``inference`` is not ``None``, when
calling the fit method.
Parameters
----------
X: optional (m, d_x) matrix or None (Default=None)
Features for each sample
Returns
-------
InferenceResults: object
The inference results instance contains prediction and prediction standard error and
can on demand calculate confidence interval, z statistic and p value. It can also output
a dataframe summary of these inference results.
"""
pass
def const_marginal_ate(self, X=None):
"""
Calculate the average constant marginal CATE :math:`E_X[\\theta(X)]`.
Parameters
----------
X: optional (m, d_x) matrix or None (Default=None)
Features for each sample.
Returns
-------
theta: (d_y, d_t) matrix
Average constant marginal CATE of each treatment on each outcome.
Note that when Y or T is a vector rather than a 2-dimensional array,
the corresponding singleton dimensions in the output will be collapsed
(e.g. if both are vectors, then the output of this method will be a scalar)
"""
return np.mean(self.const_marginal_effect(X=X), axis=0)
@BaseCateEstimator._defer_to_inference
def const_marginal_ate_interval(self, X=None, *, alpha=0.05):
""" Confidence intervals for the quantities :math:`E_X[\\theta(X)]` produced
by the model. Available only when ``inference`` is not ``None``, when
calling the fit method.
Parameters
----------
X: optional (m, d_x) matrix or None (Default=None)
Features for each sample
alpha: optional float in [0, 1] (Default=0.05)
The overall level of confidence of the reported interval.
The alpha/2, 1-alpha/2 confidence interval is reported.
Returns
-------
lower, upper : tuple(type of :meth:`const_marginal_ate(X)<const_marginal_ate>` ,\
type of :meth:`const_marginal_ate(X)<const_marginal_ate>` )
The lower and the upper bounds of the confidence interval for each quantity.
"""
pass
@BaseCateEstimator._defer_to_inference
def const_marginal_ate_inference(self, X=None):
""" Inference results for the quantities :math:`E_X[\\theta(X)]` produced
by the model. Available only when ``inference`` is not ``None``, when
calling the fit method.
Parameters
----------
X: optional (m, d_x) matrix or None (Default=None)
Features for each sample
Returns
-------
PopulationSummaryResults: object
The inference results instance contains prediction and prediction standard error and
can on demand calculate confidence interval, z statistic and p value. It can also output
a dataframe summary of these inference results.
"""
pass
def marginal_ate(self, T, X=None):
return self.const_marginal_ate(X=X)
marginal_ate.__doc__ = BaseCateEstimator.marginal_ate.__doc__
def marginal_ate_interval(self, T, X=None, *, alpha=0.05):
return self.const_marginal_ate_interval(X=X, alpha=alpha)
marginal_ate_interval.__doc__ = BaseCateEstimator.marginal_ate_interval.__doc__
def marginal_ate_inference(self, T, X=None):
return self.const_marginal_ate_inference(X=X)
marginal_ate_inference.__doc__ = BaseCateEstimator.marginal_ate_inference.__doc__
def shap_values(self, X, *, feature_names=None, treatment_names=None, output_names=None, background_samples=100):
""" Shap value for the final stage models (const_marginal_effect)
Parameters
----------
X: (m, d_x) matrix
Features for each sample. Should be in the same shape of fitted X in final stage.
feature_names: optional None or list of strings of length X.shape[1] (Default=None)
The names of input features.
treatment_names: optional None or list (Default=None)
The name of treatment. In discrete treatment scenario, the name should not include the name of
the baseline treatment (i.e. the control treatment, which by default is the alphabetically smaller)
output_names: optional None or list (Default=None)
The name of the outcome.
background_samples: int or None, (Default=100)
How many samples to use to compute the baseline effect. If None then all samples are used.
Returns
-------
shap_outs: nested dictionary of Explanation object
A nested dictionary by using each output name (e.g. 'Y0', 'Y1', ... when `output_names=None`) and
each treatment name (e.g. 'T0', 'T1', ... when `treatment_names=None`) as key
and the shap_values explanation object as value. If the input data at fit time also contain metadata,
(e.g. are pandas DataFrames), then the column metatdata for the treatments, outcomes and features
are used instead of the above defaults (unless the user overrides with explicitly passing the
corresponding names).
"""
return _shap_explain_cme(self.const_marginal_effect, X, self._d_t, self._d_y,
feature_names=feature_names, treatment_names=treatment_names,
output_names=output_names, input_names=self._input_names,
background_samples=background_samples)
class TreatmentExpansionMixin(BaseCateEstimator):
"""Mixin which automatically handles promotions of scalar treatments to the appropriate shape."""
transformer = None
def _prefit(self, Y, T, *args, **kwargs):
super()._prefit(Y, T, *args, **kwargs)
# need to store the *original* dimensions of T so that we can expand scalar inputs to match;
# subclasses should overwrite self._d_t with post-transformed dimensions of T for generating treatments
self._d_t_in = self._d_t
def _postfit(self, Y, T, *args, **kwargs):
super()._postfit(Y, T, *args, **kwargs)
if self.transformer:
self._set_transformed_treatment_names()
def _expand_treatments(self, X=None, *Ts):
X, *Ts = check_input_arrays(X, *Ts)
n_rows = 1 if X is None else shape(X)[0]
outTs = []
for T in Ts:
if (ndim(T) == 0) and self._d_t_in and self._d_t_in[0] > 1:
warn("A scalar was specified but there are multiple treatments; "
"the same value will be used for each treatment. Consider specifying"
"all treatments, or using the const_marginal_effect method.")
if ndim(T) == 0:
T = np.full((n_rows,) + self._d_t_in, T)
if self.transformer:
T = self.transformer.transform(reshape(T, (-1, 1)))
outTs.append(T)
return (X,) + tuple(outTs)
def _set_transformed_treatment_names(self):
"""Works with sklearn OHEs"""
if hasattr(self, "_input_names"):
self._input_names["treatment_names"] = self.transformer.get_feature_names(
self._input_names["treatment_names"]).tolist()
def cate_treatment_names(self, treatment_names=None):
"""
Get treatment names.
If the treatment is discrete, it will return expanded treatment names.
Parameters
----------
treatment_names: list of strings of length T.shape[1] or None
The names of the treatments. If None and the T passed to fit was a dataframe,
it defaults to the column names from the dataframe.
Returns
-------
out_treatment_names: list of strings
Returns (possibly expanded) treatment names.
"""
if treatment_names is not None:
if self.transformer:
return self.transformer.get_feature_names(treatment_names).tolist()
return treatment_names
# Treatment names is None, default to BaseCateEstimator
return super().cate_treatment_names()
# override effect to set defaults, which works with the new definition of _expand_treatments
def effect(self, X=None, *, T0=0, T1=1):
# NOTE: don't explicitly expand treatments here, because it's done in the super call
return super().effect(X, T0=T0, T1=T1)
effect.__doc__ = BaseCateEstimator.effect.__doc__
def ate(self, X=None, *, T0=0, T1=1):
return super().ate(X=X, T0=T0, T1=T1)
ate.__doc__ = BaseCateEstimator.ate.__doc__
def ate_interval(self, X=None, *, T0=0, T1=1, alpha=0.05):
return super().ate_interval(X=X, T0=T0, T1=T1, alpha=alpha)
ate_interval.__doc__ = BaseCateEstimator.ate_interval.__doc__
def ate_inference(self, X=None, *, T0=0, T1=1):
return super().ate_inference(X=X, T0=T0, T1=T1)
ate_inference.__doc__ = BaseCateEstimator.ate_inference.__doc__
class LinearModelFinalCateEstimatorMixin(BaseCateEstimator):
"""
Base class for models where the final stage is a linear model.
Such an estimator must implement a :attr:`model_final_` attribute that points
to the fitted final :class:`.StatsModelsLinearRegression` object that
represents the fitted CATE model. Also must implement :attr:`featurizer_` that points
to the fitted featurizer and :attr:`bias_part_of_coef` that designates
if the intercept is the first element of the :attr:`model_final_` coefficient.
Attributes
----------
bias_part_of_coef: bool
Whether the CATE model's intercept is contained in the final model's ``coef_`` rather
than as a separate ``intercept_``
"""
def _get_inference_options(self):
options = super()._get_inference_options()
options.update(auto=LinearModelFinalInference)
return options
@property
def bias_part_of_coef(self):
return False
@property
def coef_(self):
""" The coefficients in the linear model of the constant marginal treatment
effect.
Returns
-------
coef: (n_x,) or (n_t, n_x) or (n_y, n_t, n_x) array like
Where n_x is the number of features that enter the final model (either the
dimension of X or the dimension of featurizer.fit_transform(X) if the CATE
estimator has a featurizer.), n_t is the number of treatments, n_y is
the number of outcomes. Dimensions are omitted if the original input was
a vector and not a 2D array. For binary treatment the n_t dimension is
also omitted.
"""
return parse_final_model_params(self.model_final_.coef_, self.model_final_.intercept_,
self._d_y, self._d_t, self._d_t_in, self.bias_part_of_coef,
self.fit_cate_intercept_)[0]
@property
def intercept_(self):
""" The intercept in the linear model of the constant marginal treatment
effect.
Returns
-------
intercept: float or (n_y,) or (n_y, n_t) array like
Where n_t is the number of treatments, n_y is
the number of outcomes. Dimensions are omitted if the original input was
a vector and not a 2D array. For binary treatment the n_t dimension is
also omitted.
"""
if not self.fit_cate_intercept_:
raise AttributeError("No intercept was fitted!")
return parse_final_model_params(self.model_final_.coef_, self.model_final_.intercept_,
self._d_y, self._d_t, self._d_t_in, self.bias_part_of_coef,
self.fit_cate_intercept_)[1]
@BaseCateEstimator._defer_to_inference
def coef__interval(self, *, alpha=0.05):
""" The coefficients in the linear model of the constant marginal treatment
effect.
Parameters
----------
alpha: optional float in [0, 1] (Default=0.05)
The overall level of confidence of the reported interval.
The alpha/2, 1-alpha/2 confidence interval is reported.
Returns
-------
lb, ub: tuple(type of :meth:`coef_()<coef_>`, type of :meth:`coef_()<coef_>`)
The lower and upper bounds of the confidence interval for each quantity.
"""
pass
@BaseCateEstimator._defer_to_inference
def coef__inference(self):
""" The inference of coefficients in the linear model of the constant marginal treatment
effect.
Returns
-------
InferenceResults: object
The inference of the coefficients in the final linear model
"""
pass
@BaseCateEstimator._defer_to_inference
def intercept__interval(self, *, alpha=0.05):
""" The intercept in the linear model of the constant marginal treatment
effect.
Parameters
----------
alpha: optional float in [0, 1] (Default=0.05)
The overall level of confidence of the reported interval.
The alpha/2, 1-alpha/2 confidence interval is reported.
Returns
-------
lower, upper: tuple(type of :meth:`intercept_()<intercept_>`, type of :meth:`intercept_()<intercept_>`)
The lower and upper bounds of the confidence interval.
"""
pass
@BaseCateEstimator._defer_to_inference
def intercept__inference(self):
""" The inference of intercept in the linear model of the constant marginal treatment
effect.
Returns
-------
InferenceResults: object
The inference of the intercept in the final linear model
"""
pass
def summary(self, alpha=0.05, value=0, decimals=3, feature_names=None, treatment_names=None, output_names=None):
""" The summary of coefficient and intercept in the linear model of the constant marginal treatment
effect.
Parameters
----------
alpha: optional float in [0, 1] (default=0.05)
The overall level of confidence of the reported interval.
The alpha/2, 1-alpha/2 confidence interval is reported.
value: optinal float (default=0)
The mean value of the metric you'd like to test under null hypothesis.
decimals: optinal int (default=3)
Number of decimal places to round each column to.
feature_names: optional list of strings or None (default is None)
The input of the feature names
treatment_names: optional list of strings or None (default is None)
The names of the treatments
output_names: optional list of strings or None (default is None)
The names of the outputs
Returns
-------
smry : Summary instance
this holds the summary tables and text, which can be printed or
converted to various output formats.
"""
# Get input names
treatment_names = self.cate_treatment_names(treatment_names)
output_names = self.cate_output_names(output_names)
# Summary
smry = Summary()
smry.add_extra_txt(["<sub>A linear parametric conditional average treatment effect (CATE) model was fitted:",
"$Y = \\Theta(X)\\cdot T + g(X, W) + \\epsilon$",
"where for every outcome $i$ and treatment $j$ the CATE $\\Theta_{ij}(X)$ has the form:",
"$\\Theta_{ij}(X) = \\phi(X)' coef_{ij} + cate\\_intercept_{ij}$",
"where $\\phi(X)$ is the output of the `featurizer` or $X$ if `featurizer`=None. "
"Coefficient Results table portrays the $coef_{ij}$ parameter vector for "
"each outcome $i$ and treatment $j$. "
"Intercept Results table portrays the $cate\\_intercept_{ij}$ parameter.</sub>"])
d_t = self._d_t[0] if self._d_t else 1
d_y = self._d_y[0] if self._d_y else 1
try:
coef_table = self.coef__inference().summary_frame(alpha=alpha,
value=value, decimals=decimals,
feature_names=feature_names,
treatment_names=treatment_names,
output_names=output_names)
coef_array = coef_table.values
coef_headers = coef_table.columns.tolist()
n_level = coef_table.index.nlevels
if n_level > 1:
coef_stubs = ["|".join(ind_value) for ind_value in coef_table.index.values]
else:
coef_stubs = coef_table.index.tolist()
coef_title = 'Coefficient Results'
smry.add_table(coef_array, coef_headers, coef_stubs, coef_title)
except Exception as e:
print("Coefficient Results: ", str(e))
try:
intercept_table = self.intercept__inference().summary_frame(alpha=alpha,
value=value, decimals=decimals,
feature_names=None,
treatment_names=treatment_names,
output_names=output_names)
intercept_array = intercept_table.values
intercept_headers = intercept_table.columns.tolist()
n_level = intercept_table.index.nlevels
if n_level > 1:
intercept_stubs = ["|".join(ind_value) for ind_value in intercept_table.index.values]
else:
intercept_stubs = intercept_table.index.tolist()
intercept_title = 'CATE Intercept Results'
smry.add_table(intercept_array, intercept_headers, intercept_stubs, intercept_title)
except Exception as e:
print("CATE Intercept Results: ", str(e))
if len(smry.tables) > 0:
return smry
def shap_values(self, X, *, feature_names=None, treatment_names=None, output_names=None, background_samples=100):
if hasattr(self, "featurizer_") and self.featurizer_ is not None:
X = self.featurizer_.transform(X)
feature_names = self.cate_feature_names(feature_names)
return _shap_explain_joint_linear_model_cate(self.model_final_, X, self._d_t, self._d_y,
self.bias_part_of_coef,
feature_names=feature_names, treatment_names=treatment_names,
output_names=output_names,
input_names=self._input_names,
background_samples=background_samples)
shap_values.__doc__ = LinearCateEstimator.shap_values.__doc__
class StatsModelsCateEstimatorMixin(LinearModelFinalCateEstimatorMixin):
"""
Mixin class that offers `inference='statsmodels'` options to the CATE estimator
that inherits it.
Such an estimator must implement a :attr:`model_final_` attribute that points
to the fitted final :class:`.StatsModelsLinearRegression` object that
represents the fitted CATE model. Also must implement :attr:`featurizer_` that points
to the fitted featurizer and :attr:`bias_part_of_coef` that designates
if the intercept is the first element of the :attr:`model_final_` coefficient.
"""
def _get_inference_options(self):
# add statsmodels to parent's options
options = super()._get_inference_options()
options.update(statsmodels=StatsModelsInference)
options.update(auto=StatsModelsInference)
return options
class DebiasedLassoCateEstimatorMixin(LinearModelFinalCateEstimatorMixin):
"""Mixin for cate models where the final stage is a debiased lasso model."""
def _get_inference_options(self):
# add debiasedlasso to parent's options
options = super()._get_inference_options()
options.update(debiasedlasso=LinearModelFinalInference)
options.update(auto=LinearModelFinalInference)
return options
class ForestModelFinalCateEstimatorMixin(BaseCateEstimator):
def _get_inference_options(self):
# add blb to parent's options
options = super()._get_inference_options()
options.update(blb=GenericSingleTreatmentModelFinalInference)
options.update(auto=GenericSingleTreatmentModelFinalInference)
return options
@property
def feature_importances_(self):
return self.model_final_.feature_importances_
class LinearModelFinalCateEstimatorDiscreteMixin(BaseCateEstimator):
# TODO Share some logic with non-discrete version
"""
Base class for models where the final stage is a linear model.
Subclasses must expose a ``fitted_models_final`` attribute
returning an array of the fitted models for each non-control treatment
"""
def _get_inference_options(self):
options = super()._get_inference_options()
options.update(auto=LinearModelFinalInferenceDiscrete)
return options
def coef_(self, T):
""" The coefficients in the linear model of the constant marginal treatment
effect associated with treatment T.
Parameters
----------
T: alphanumeric
The input treatment for which we want the coefficients.
Returns
-------
coef: (n_x,) or (n_y, n_x) array like
Where n_x is the number of features that enter the final model (either the
dimension of X or the dimension of featurizer.fit_transform(X) if the CATE
estimator has a featurizer.)
"""
_, T = self._expand_treatments(None, T)
ind = inverse_onehot(T).item() - 1
assert ind >= 0, "No model was fitted for the control"
return self.fitted_models_final[ind].coef_
def intercept_(self, T):
""" The intercept in the linear model of the constant marginal treatment
effect associated with treatment T.
Parameters
----------
T: alphanumeric
The input treatment for which we want the coefficients.
Returns
-------
intercept: float or (n_y,) array like
"""
if not self.fit_cate_intercept_:
raise AttributeError("No intercept was fitted!")
_, T = self._expand_treatments(None, T)
ind = inverse_onehot(T).item() - 1
assert ind >= 0, "No model was fitted for the control"
return self.fitted_models_final[ind].intercept_.reshape(self._d_y)
@BaseCateEstimator._defer_to_inference
def coef__interval(self, T, *, alpha=0.05):
""" The confidence interval for the coefficients in the linear model of the
constant marginal treatment effect associated with treatment T.
Parameters
----------
T: alphanumeric
The input treatment for which we want the coefficients.
alpha: optional float in [0, 1] (Default=0.05)
The overall level of confidence of the reported interval.
The alpha/2, 1-alpha/2 confidence interval is reported.
Returns
-------
lower, upper: tuple(type of :meth:`coef_(T)<coef_>`, type of :meth:`coef_(T)<coef_>`)
The lower and upper bounds of the confidence interval for each quantity.
"""
pass
@BaseCateEstimator._defer_to_inference
def coef__inference(self, T):
""" The inference for the coefficients in the linear model of the
constant marginal treatment effect associated with treatment T.
Parameters
----------
T: alphanumeric
The input treatment for which we want the coefficients.
Returns
-------
InferenceResults: object
The inference of the coefficients in the final linear model
"""
pass
@BaseCateEstimator._defer_to_inference
def intercept__interval(self, T, *, alpha=0.05):
""" The intercept in the linear model of the constant marginal treatment
effect associated with treatment T.
Parameters
----------
T: alphanumeric
The input treatment for which we want the coefficients.
alpha: optional float in [0, 1] (Default=0.05)
The overall level of confidence of the reported interval.
The alpha/2, 1-alpha/2 confidence interval is reported.
Returns
-------
lower, upper: tuple(type of :meth:`intercept_(T)<intercept_>`, type of :meth:`intercept_(T)<intercept_>`)
The lower and upper bounds of the confidence interval.
"""
pass
@BaseCateEstimator._defer_to_inference
def intercept__inference(self, T):
""" The inference of the intercept in the linear model of the constant marginal treatment
effect associated with treatment T.
Parameters
----------
T: alphanumeric
The input treatment for which we want the coefficients.
Returns
-------
InferenceResults: object
The inference of the intercept in the final linear model
"""
pass
def summary(self, T, *, alpha=0.05, value=0, decimals=3,
feature_names=None, treatment_names=None, output_names=None):
""" The summary of coefficient and intercept in the linear model of the constant marginal treatment
effect associated with treatment T.
Parameters
----------
alpha: optional float in [0, 1] (default=0.05)
The overall level of confidence of the reported interval.
The alpha/2, 1-alpha/2 confidence interval is reported.
value: optinal float (default=0)
The mean value of the metric you'd like to test under null hypothesis.
decimals: optinal int (default=3)
Number of decimal places to round each column to.
feature_names: optional list of strings or None (default is None)
The input of the feature names
treatment_names: optional list of strings or None (default is None)
The names of the treatments
output_names: optional list of strings or None (default is None)
The names of the outputs
Returns
-------
smry : Summary instance
this holds the summary tables and text, which can be printed or
converted to various output formats.
"""
# Get input names
treatment_names = self.cate_treatment_names(treatment_names)
output_names = self.cate_output_names(output_names)
# Note: we do not transform feature names since that is done within summary_frame
# Summary
smry = Summary()
smry.add_extra_txt(["<sub>A linear parametric conditional average treatment effect (CATE) model was fitted:",
"$Y = \\Theta(X)\\cdot T + g(X, W) + \\epsilon$",
"where $T$ is the one-hot-encoding of the discrete treatment and "
"for every outcome $i$ and treatment $j$ the CATE $\\Theta_{ij}(X)$ has the form:",
"$\\Theta_{ij}(X) = \\phi(X)' coef_{ij} + cate\\_intercept_{ij}$",
"where $\\phi(X)$ is the output of the `featurizer` or $X$ if `featurizer`=None. "
"Coefficient Results table portrays the $coef_{ij}$ parameter vector for "
"each outcome $i$ and the designated treatment $j$ passed to summary. "
"Intercept Results table portrays the $cate\\_intercept_{ij}$ parameter.</sub>"])
try:
coef_table = self.coef__inference(T).summary_frame(
alpha=alpha, value=value, decimals=decimals, feature_names=feature_names,
output_names=output_names)
coef_array = coef_table.values
coef_headers = coef_table.columns.tolist()
coef_stubs = coef_table.index.tolist()
coef_title = 'Coefficient Results'
smry.add_table(coef_array, coef_headers, coef_stubs, coef_title)
except Exception as e:
print("Coefficient Results: ", e)
try:
intercept_table = self.intercept__inference(T).summary_frame(
alpha=alpha, value=value, decimals=decimals, feature_names=None,
output_names=output_names)
intercept_array = intercept_table.values
intercept_headers = intercept_table.columns.tolist()
intercept_stubs = intercept_table.index.tolist()
intercept_title = 'CATE Intercept Results'
smry.add_table(intercept_array, intercept_headers, intercept_stubs, intercept_title)
except Exception as e:
print("CATE Intercept Results: ", e)
if len(smry.tables) > 0:
return smry
class StatsModelsCateEstimatorDiscreteMixin(LinearModelFinalCateEstimatorDiscreteMixin):
"""
Mixin class that offers `inference='statsmodels'` options to the CATE estimator
that inherits it.
Such an estimator must implement a :attr:`model_final_` attribute that points
to a :class:`.StatsModelsLinearRegression` object that is cloned to fit
each discrete treatment target CATE model and a :attr:`fitted_models_final` attribute
that returns the list of fitted final models that represent the CATE for each categorical treatment.
"""
def _get_inference_options(self):
# add statsmodels to parent's options
options = super()._get_inference_options()
options.update(statsmodels=StatsModelsInferenceDiscrete)
options.update(auto=StatsModelsInferenceDiscrete)
return options
class DebiasedLassoCateEstimatorDiscreteMixin(LinearModelFinalCateEstimatorDiscreteMixin):
"""Mixin for cate models where the final stage is a debiased lasso model."""
def _get_inference_options(self):
# add statsmodels to parent's options
options = super()._get_inference_options()
options.update(debiasedlasso=LinearModelFinalInferenceDiscrete)
options.update(auto=LinearModelFinalInferenceDiscrete)
return options
class ForestModelFinalCateEstimatorDiscreteMixin(BaseCateEstimator):
def _get_inference_options(self):
# add blb to parent's options
options = super()._get_inference_options()
options.update(blb=GenericModelFinalInferenceDiscrete)
options.update(auto=GenericModelFinalInferenceDiscrete)
return options
def feature_importances_(self, T):
_, T = self._expand_treatments(None, T)
ind = inverse_onehot(T).item() - 1
assert ind >= 0, "No model was fitted for the control"
return self.fitted_models_final[ind].feature_importances_ | PypiClean |
/15five-snowplow-tracker-0.8.156.tar.gz/15five-snowplow-tracker-0.8.156/snowplow_tracker/tracker.py | import time
import uuid
import six
from contracts import contract, new_contract
from snowplow_tracker import payload, _version, SelfDescribingJson
from snowplow_tracker import subject as _subject
from snowplow_tracker.timestamp import Timestamp, TrueTimestamp, DeviceTimestamp
"""
Constants & config
"""
VERSION = "py-%s" % _version.__version__
DEFAULT_ENCODE_BASE64 = True
BASE_SCHEMA_PATH = "iglu:com.snowplowanalytics.snowplow"
SCHEMA_TAG = "jsonschema"
CONTEXT_SCHEMA = "%s/contexts/%s/1-0-1" % (BASE_SCHEMA_PATH, SCHEMA_TAG)
UNSTRUCT_EVENT_SCHEMA = "%s/unstruct_event/%s/1-0-0" % (BASE_SCHEMA_PATH, SCHEMA_TAG)
FORM_NODE_NAMES = ("INPUT", "TEXTAREA", "SELECT")
FORM_TYPES = (
"button", "checkbox", "color", "date", "datetime",
"datetime-local", "email", "file", "hidden", "image", "month",
"number", "password", "radio", "range", "reset", "search",
"submit", "tel", "text", "time", "url", "week"
)
"""
Tracker class
"""
class Tracker:
new_contract("not_none", lambda s: s is not None)
new_contract("non_empty_string", lambda s: isinstance(s, six.string_types)
and len(s) > 0)
new_contract("string_or_none", lambda s: (isinstance(s, six.string_types)
and len(s) > 0) or s is None)
new_contract("payload", lambda s: isinstance(s, payload.Payload))
new_contract("tracker", lambda s: isinstance(s, Tracker))
new_contract("emitter", lambda s: hasattr(s, "input"))
new_contract("self_describing_json", lambda s: isinstance(s, SelfDescribingJson))
new_contract("context_array", "list(self_describing_json)")
new_contract("form_node_name", lambda s: s in FORM_NODE_NAMES)
new_contract("form_type", lambda s: s.lower() in FORM_TYPES)
new_contract("timestamp", lambda x: (isinstance(x, Timestamp)))
new_contract("form_element", lambda x: Tracker.check_form_element(x))
@contract
def __init__(self, emitters, subject=None,
namespace=None, app_id=None, encode_base64=DEFAULT_ENCODE_BASE64):
"""
:param emitters: Emitters to which events will be sent
:type emitters: list[>0](emitter) | emitter
:param subject: Subject to be tracked
:type subject: subject | None
:param namespace: Identifier for the Tracker instance
:type namespace: string_or_none
:param app_id: Application ID
:type app_id: string_or_none
:param encode_base64: Whether JSONs in the payload should be base-64 encoded
:type encode_base64: bool
"""
if subject is None:
subject = _subject.Subject()
if type(emitters) is list:
self.emitters = emitters
else:
self.emitters = [emitters]
self.subject = subject
self.encode_base64 = encode_base64
self.standard_nv_pairs = {
"tv": VERSION,
"tna": namespace,
"aid": app_id
}
self.timer = None
@staticmethod
@contract
def get_uuid():
"""
Set transaction ID for the payload once during the lifetime of the
event.
:rtype: string
"""
return str(uuid.uuid4())
@staticmethod
@contract
def get_timestamp(tstamp=None):
"""
:param tstamp: User-input timestamp or None
:type tstamp: int | float | None
:rtype: int
"""
if tstamp is None:
return int(time.time() * 1000)
elif isinstance(tstamp, (int, float, )):
return int(tstamp)
"""
Tracking methods
"""
@contract
def track(self, pb):
"""
Send the payload to a emitter
:param pb: Payload builder
:type pb: payload
:rtype: tracker
"""
for emitter in self.emitters:
emitter.input(pb.nv_pairs)
return self
@contract
def complete_payload(self, pb, context, tstamp):
"""
Called by all tracking events to add the standard name-value pairs
to the Payload object irrespective of the tracked event.
:param pb: Payload builder
:type pb: payload
:param context: Custom context for the event
:type context: context_array | None
:param tstamp: Optional user-provided timestamp for the event
:type tstamp: timestamp | int | float | None
:rtype: tracker
"""
pb.add("eid", Tracker.get_uuid())
if isinstance(tstamp, TrueTimestamp):
pb.add("ttm", tstamp.value)
if isinstance(tstamp, DeviceTimestamp):
pb.add("dtm", Tracker.get_timestamp(tstamp.value))
elif isinstance(tstamp, (int, float, type(None))):
pb.add("dtm", Tracker.get_timestamp(tstamp))
if context is not None:
context_jsons = list(map(lambda c: c.to_json(), context))
context_envelope = SelfDescribingJson(CONTEXT_SCHEMA, context_jsons).to_json()
pb.add_json(context_envelope, self.encode_base64, "cx", "co")
pb.add_dict(self.standard_nv_pairs)
pb.add_dict(self.subject.standard_nv_pairs)
return self.track(pb)
@contract
def track_page_view(self, page_url, page_title=None, referrer=None, context=None, tstamp=None):
"""
:param page_url: URL of the viewed page
:type page_url: non_empty_string
:param page_title: Title of the viewed page
:type page_title: string_or_none
:param referrer: Referrer of the page
:type referrer: string_or_none
:param context: Custom context for the event
:type context: context_array | None
:param tstamp: Optional user-provided timestamp for the event
:type tstamp: timestamp | int | float | None
:rtype: tracker
"""
pb = payload.Payload()
pb.add("e", "pv") # pv: page view
pb.add("url", page_url)
pb.add("page", page_title)
pb.add("refr", referrer)
return self.complete_payload(pb, context, tstamp)
@contract
def track_page_ping(self, page_url, page_title=None, referrer=None, min_x=None, max_x=None, min_y=None, max_y=None, context=None, tstamp=None):
"""
:param page_url: URL of the viewed page
:type page_url: non_empty_string
:param page_title: Title of the viewed page
:type page_title: string_or_none
:param referrer: Referrer of the page
:type referrer: string_or_none
:param min_x: Minimum page x offset seen in the last ping period
:type min_x: int | None
:param max_x: Maximum page x offset seen in the last ping period
:type max_x: int | None
:param min_y: Minimum page y offset seen in the last ping period
:type min_y: int | None
:param max_y: Maximum page y offset seen in the last ping period
:type max_y: int | None
:param context: Custom context for the event
:type context: context_array | None
:param tstamp: Optional user-provided timestamp for the event
:type tstamp: timestamp | int | float | None
:rtype: tracker
"""
pb = payload.Payload()
pb.add("e", "pp") # pp: page ping
pb.add("url", page_url)
pb.add("page", page_title)
pb.add("refr", referrer)
pb.add("pp_mix", min_x)
pb.add("pp_max", max_x)
pb.add("pp_miy", min_y)
pb.add("pp_may", max_y)
return self.complete_payload(pb, context, tstamp)
@contract
def track_link_click(self, target_url, element_id=None,
element_classes=None, element_target=None,
element_content=None, context=None, tstamp=None):
"""
:param target_url: Target URL of the link
:type target_url: non_empty_string
:param element_id: ID attribute of the HTML element
:type element_id: string_or_none
:param element_classes: Classes of the HTML element
:type element_classes: list(str) | tuple(str,*) | None
:param element_content: The content of the HTML element
:type element_content: string_or_none
:param context: Custom context for the event
:type context: context_array | None
:param tstamp: Optional user-provided timestamp for the event
:type tstamp: timestamp | int | float | None
:rtype: tracker
"""
properties = {}
properties["targetUrl"] = target_url
if element_id is not None:
properties["elementId"] = element_id
if element_classes is not None:
properties["elementClasses"] = element_classes
if element_target is not None:
properties["elementTarget"] = element_target
if element_content is not None:
properties["elementContent"] = element_content
event_json = SelfDescribingJson("%s/link_click/%s/1-0-1" % (BASE_SCHEMA_PATH, SCHEMA_TAG), properties)
return self.track_unstruct_event(event_json, context, tstamp)
@contract
def track_add_to_cart(self, sku, quantity, name=None, category=None,
unit_price=None, currency=None, context=None,
tstamp=None):
"""
:param sku: Item SKU or ID
:type sku: non_empty_string
:param quantity: Number added to cart
:type quantity: int
:param name: Item's name
:type name: string_or_none
:param category: Item's category
:type category: string_or_none
:param unit_price: Item's price
:type unit_price: int | float | None
:param currency: Type of currency the price is in
:type currency: string_or_none
:param context: Custom context for the event
:type context: context_array | None
:param tstamp: Optional user-provided timestamp for the event
:type tstamp: timestamp | int | float | None
:rtype: tracker
"""
properties = {}
properties["sku"] = sku
properties["quantity"] = quantity
if name is not None:
properties["name"] = name
if category is not None:
properties["category"] = category
if unit_price is not None:
properties["unitPrice"] = unit_price
if currency is not None:
properties["currency"] = currency
event_json = SelfDescribingJson("%s/add_to_cart/%s/1-0-0" % (BASE_SCHEMA_PATH, SCHEMA_TAG), properties)
return self.track_unstruct_event(event_json, context, tstamp)
@contract
def track_remove_from_cart(self, sku, quantity, name=None, category=None,
unit_price=None, currency=None, context=None,
tstamp=None):
"""
:param sku: Item SKU or ID
:type sku: non_empty_string
:param quantity: Number added to cart
:type quantity: int
:param name: Item's name
:type name: string_or_none
:param category: Item's category
:type category: string_or_none
:param unit_price: Item's price
:type unit_price: int | float | None
:param currency: Type of currency the price is in
:type currency: string_or_none
:param context: Custom context for the event
:type context: context_array | None
:param tstamp: Optional user-provided timestamp for the event
:type tstamp: timestamp | int | float | None
:rtype: tracker
"""
properties = {}
properties["sku"] = sku
properties["quantity"] = quantity
if name is not None:
properties["name"] = name
if category is not None:
properties["category"] = category
if unit_price is not None:
properties["unitPrice"] = unit_price
if currency is not None:
properties["currency"] = currency
event_json = SelfDescribingJson("%s/remove_from_cart/%s/1-0-0" % (BASE_SCHEMA_PATH, SCHEMA_TAG), properties)
return self.track_unstruct_event(event_json, context, tstamp)
@contract
def track_form_change(self, form_id, element_id, node_name, value, type_=None,
element_classes=None, context=None, tstamp=None):
"""
:param form_id: ID attribute of the HTML form
:type form_id: non_empty_string
:param element_id: ID attribute of the HTML element
:type element_id: string_or_none
:param node_name: Type of input element
:type node_name: form_node_name
:param value: Value of the input element
:type value: string_or_none
:param type_: Type of data the element represents
:type type_: non_empty_string, form_type
:param element_classes: Classes of the HTML element
:type element_classes: list(str) | tuple(str,*) | None
:param context: Custom context for the event
:type context: context_array | None
:param tstamp: Optional user-provided timestamp for the event
:type tstamp: timestamp | int | float | None
:rtype: tracker
"""
properties = dict()
properties["formId"] = form_id
properties["elementId"] = element_id
properties["nodeName"] = node_name
properties["value"] = value
if type_ is not None:
properties["type"] = type_
if element_classes is not None:
properties["elementClasses"] = element_classes
event_json = SelfDescribingJson("%s/change_form/%s/1-0-0" % (BASE_SCHEMA_PATH, SCHEMA_TAG), properties)
return self.track_unstruct_event(event_json, context, tstamp)
@contract
def track_form_submit(self, form_id, form_classes=None, elements=None,
context=None, tstamp=None):
"""
:param form_id: ID attribute of the HTML form
:type form_id: non_empty_string
:param form_classes: Classes of the HTML form
:type form_classes: list(str) | tuple(str,*) | None
:param elements: Classes of the HTML form
:type elements: list(form_element) | None
:param context: Custom context for the event
:type context: context_array | None
:param tstamp: Optional user-provided timestamp for the event
:type tstamp: timestamp | int | float | None
:rtype: tracker
"""
properties = dict()
properties['formId'] = form_id
if form_classes is not None:
properties['formClasses'] = form_classes
if elements is not None and len(elements) > 0:
properties['elements'] = elements
event_json = SelfDescribingJson("%s/submit_form/%s/1-0-0" % (BASE_SCHEMA_PATH, SCHEMA_TAG), properties)
return self.track_unstruct_event(event_json, context, tstamp)
@contract
def track_site_search(self, terms, filters=None, total_results=None,
page_results=None, context=None, tstamp=None):
"""
:param terms: Search terms
:type terms: seq[>=1](str)
:param filters: Filters applied to the search
:type filters: dict(str:str|bool) | None
:param total_results: Total number of results returned
:type total_results: int | None
:param page_results: Total number of pages of results
:type page_results: int | None
:param context: Custom context for the event
:type context: context_array | None
:param tstamp: Optional user-provided timestamp for the event
:type tstamp: timestamp | int | float | None
:rtype: tracker
"""
properties = {}
properties["terms"] = terms
if filters is not None:
properties["filters"] = filters
if total_results is not None:
properties["totalResults"] = total_results
if page_results is not None:
properties["pageResults"] = page_results
event_json = SelfDescribingJson("%s/site_search/%s/1-0-0" % (BASE_SCHEMA_PATH, SCHEMA_TAG), properties)
return self.track_unstruct_event(event_json, context, tstamp)
@contract
def track_ecommerce_transaction_item(self, order_id, sku, price, quantity,
name=None, category=None, currency=None,
context=None,
tstamp=None):
"""
This is an internal method called by track_ecommerce_transaction.
It is not for public use.
:param order_id: Order ID
:type order_id: non_empty_string
:param sku: Item SKU
:type sku: non_empty_string
:param price: Item price
:type price: int | float
:param quantity: Item quantity
:type quantity: int
:param name: Item name
:type name: string_or_none
:param category: Item category
:type category: string_or_none
:param currency: The currency the price is expressed in
:type currency: string_or_none
:param context: Custom context for the event
:type context: context_array | None
:rtype: tracker
"""
pb = payload.Payload()
pb.add("e", "ti")
pb.add("ti_id", order_id)
pb.add("ti_sk", sku)
pb.add("ti_nm", name)
pb.add("ti_ca", category)
pb.add("ti_pr", price)
pb.add("ti_qu", quantity)
pb.add("ti_cu", currency)
return self.complete_payload(pb, context, tstamp)
@contract
def track_ecommerce_transaction(self, order_id, total_value,
affiliation=None, tax_value=None, shipping=None,
city=None, state=None, country=None, currency=None,
items=None,
context=None, tstamp=None):
"""
:param order_id: ID of the eCommerce transaction
:type order_id: non_empty_string
:param total_value: Total transaction value
:type total_value: int | float
:param affiliation: Transaction affiliation
:type affiliation: string_or_none
:param tax_value: Transaction tax value
:type tax_value: int | float | None
:param shipping: Delivery cost charged
:type shipping: int | float | None
:param city: Delivery address city
:type city: string_or_none
:param state: Delivery address state
:type state: string_or_none
:param country: Delivery address country
:type country: string_or_none
:param currency: The currency the price is expressed in
:type currency: string_or_none
:param items: The items in the transaction
:type items: list(dict(str:*))
:param context: Custom context for the event
:type context: context_array | None
:rtype: tracker
"""
pb = payload.Payload()
pb.add("e", "tr")
pb.add("tr_id", order_id)
pb.add("tr_tt", total_value)
pb.add("tr_af", affiliation)
pb.add("tr_tx", tax_value)
pb.add("tr_sh", shipping)
pb.add("tr_ci", city)
pb.add("tr_st", state)
pb.add("tr_co", country)
pb.add("tr_cu", currency)
tstamp = Tracker.get_timestamp(tstamp)
self.complete_payload(pb, context, tstamp)
for item in items:
item["tstamp"] = tstamp
item["order_id"] = order_id
item["currency"] = currency
self.track_ecommerce_transaction_item(**item)
return self
@contract
def track_screen_view(self, name=None, id_=None, context=None, tstamp=None):
"""
:param name: The name of the screen view event
:type name: string_or_none
:param id_: Screen view ID
:type id_: string_or_none
:param context: Custom context for the event
:type context: context_array | None
:rtype: tracker
"""
screen_view_properties = {}
if name is not None:
screen_view_properties["name"] = name
if id_ is not None:
screen_view_properties["id"] = id_
event_json = SelfDescribingJson("%s/screen_view/%s/1-0-0" % (BASE_SCHEMA_PATH, SCHEMA_TAG), screen_view_properties)
return self.track_unstruct_event(event_json, context, tstamp)
@contract
def track_struct_event(self, category, action, label=None, property_=None, value=None,
context=None,
tstamp=None):
"""
:param category: Category of the event
:type category: non_empty_string
:param action: The event itself
:type action: non_empty_string
:param label: Refer to the object the action is
performed on
:type label: string_or_none
:param property_: Property associated with either the action
or the object
:type property_: string_or_none
:param value: A value associated with the user action
:type value: int | float | None
:param context: Custom context for the event
:type context: context_array | None
:rtype: tracker
"""
pb = payload.Payload()
pb.add("e", "se")
pb.add("se_ca", category)
pb.add("se_ac", action)
pb.add("se_la", label)
pb.add("se_pr", property_)
pb.add("se_va", value)
return self.complete_payload(pb, context, tstamp)
@contract
def track_unstruct_event(self, event_json, context=None, tstamp=None):
"""
:param event_json: The properties of the event. Has two field:
A "data" field containing the event properties and
A "schema" field identifying the schema against which the data is validated
:type event_json: self_describing_json
:param context: Custom context for the event
:type context: context_array | None
:param tstamp: User-set timestamp
:type tstamp: timestamp | int | None
:rtype: tracker
"""
envelope = SelfDescribingJson(UNSTRUCT_EVENT_SCHEMA, event_json.to_json()).to_json()
pb = payload.Payload()
pb.add("e", "ue")
pb.add_json(envelope, self.encode_base64, "ue_px", "ue_pr")
return self.complete_payload(pb, context, tstamp)
# Alias
track_self_describing_event = track_unstruct_event
@contract
def flush(self, is_async=False):
"""
Flush the emitter
:param is_async: Whether the flush is done asynchronously. Default is False
:type is_async: bool
:rtype: tracker
"""
for emitter in self.emitters:
if is_async:
emitter.flush()
else:
emitter.sync_flush()
return self
@contract
def set_subject(self, subject):
"""
Set the subject of the events fired by the tracker
:param subject: Subject to be tracked
:type subject: subject | None
:rtype: tracker
"""
self.subject = subject
return self
@contract
def add_emitter(self, emitter):
"""
Add a new emitter to which events should be passed
:param emitter: New emitter
:type emitter: emitter
:rtype: tracker
"""
self.emitters.append(emitter)
return self
@staticmethod
def check_form_element(element):
"""
PyContracts helper method to check that dictionary conforms element
in sumbit_form and change_form schemas
"""
all_present = isinstance(element, dict) and 'name' in element and 'value' in element and 'nodeName' in element
try:
if element['type'] in FORM_TYPES:
type_valid = True
else:
type_valid = False
except KeyError:
type_valid = True
return all_present and element['nodeName'] in FORM_NODE_NAMES and type_valid | PypiClean |
/FP-SMC-ALS-test1-0.0.1.tar.gz/FP-SMC-ALS-test1-0.0.1/smc/api/session.py | import copy
import json
import logging
import ssl
import requests
import collections
import smc
# import smc.api.web
from smc.api.web import send_request, counters
from smc.api.entry_point import Resource
from smc.api.configloader import load_from_file, load_from_environ
from smc.api.common import SMCRequest
from smc.base.decorators import cached_property
from smc.api.exceptions import (
ConfigLoadError,
SMCConnectionError,
UnsupportedEntryPoint,
SessionManagerNotFound,
SessionNotFound,
SMCOperationFailure,
)
from smc.base.model import ElementFactory
from requests.adapters import HTTPAdapter, PoolManager
from urllib3 import Retry
# requests.packages.urllib3.disable_warnings()
MAX_RETRY = 5
ERROR_CODES_SUPPORTING_AUTO_RETRY = [
503, # to support db concurrent access from SMC
409, # to support ETag conflict
429, # to support too many requests
413, # to support entity too large
]
HTTP_METHODS_SUPPORTING_AUTO_RETRY = [
"HEAD",
"TRACE",
"GET",
"POST", # to support creation and api services with possible db concurrency
"PUT",
"OPTIONS",
"DELETE",
]
logger = logging.getLogger(__name__)
class SessionManager(object):
"""
The SessionManager keeps track of sessions created within smc-python.
In most cases, this is transparent functionality as most scripts will
use only a single session for it's lifetime.
By default a single Session Manager is created that will be used
when processing all requests to the SMC.
Session Manager also has a hook that can be called that will change the
way the session manager retrieves the session from the manager.
An example might be that you are using smc-python in a web application
and authenticating the user to the SMC. Each web session stores the
name of the authenticated user. You want to use that to map to the
SMC session by retrieving the user from the web session ID and then
from the SessionManager.
A function hook can be registered that will retrieve use some external
criteria to determine which session to retrieve from the SessionManager.
.. seealso:: :meth:`~register_hook`.
Creating your own session manager might be useful if you needed custom
functionality or needed to extend the default. Create a new manager
and call mount to set it on the global request object::
manager = SessionManager()
manager.mount()
..note:: By default, a single session is maintained and considered the
`default` session.
:param list(Session) sessions: list of sessions
"""
_session_hook = None
def __init__(self, sessions=None):
self._sessions = collections.OrderedDict()
sessions = sessions or []
for session in sessions:
self._register(session)
# self._connections = local() #TODO: Make self._sessions an attribute
# of threading local
@classmethod
def create(cls, sessions=None):
"""
A session manager will be mounted to the SMCRequest class through
this classmethod. If there is already an existing SessionManager,
that is returned instead.
:param list sessions: a list of Session objects
:rtype: SessionManager
"""
manager = getattr(SMCRequest, "_session_manager")
if manager is not None:
return manager
manager = SessionManager(sessions)
manager.mount()
return manager
def mount(self):
"""
Mount this session manager on the request class, making this
the global manager for processing requests
:return: None
"""
setattr(SMCRequest, "_session_manager", self)
def register_hook(self, hook):
"""
Add a hook that specifies how to retrieve the session from the
session manager. A hook must be a callable that takes one argument
(the SessionManager) and extracts the session based on some criteria.
An example of using a hook::
from smc import manager
def retrieve_session(session_manager):
...
admin = session_manager.get_session('admin')
return admin if admin.is_active else session_manager.get_default_session()
manager.register_hook(retrieve_session)
Hooks can be used when your application requires multiple sessions
within the same python interpreter. For example, in a web app, you
might use the SMC administrator account to log in and store the session
within the web application which allows you to also store and retrieve
that SMC based session for further operations.
"""
if callable(hook):
self._session_hook = hook
def __contains__(self, session):
"""
A session is considered to exist if the current user attached to
the session matches. In SMC, an administrative account must be
unique even if it only exists in a specific domain.
:rtype: bool
"""
return session in self.sessions
@property
def sessions(self):
"""
All available sessions in this session manager
:rtype: list(Session)
"""
return list(self._sessions.values())
def get_default_session(self):
"""
The default session is nothing more than the first session added
into the session handler pool. This will likely change in the future
but for now each session identifies the domain and also manages
domain switching within a single session.
:rtype: Session
"""
if self._sessions:
return self.get_session(next(iter(self._sessions)))
return self.get_session()
def get_session(self, user=None):
"""
Retrieve the session based on user, or return and empty session.
Note that an empty session is not inserted into the Session Manager
until `login` has been successfully called on the session.
:param str user: optional user to find in the session manager
:raises SessionNotFound: session was not found in manager
:rtype: Session
"""
session = self._sessions.get(user)
return session if session else Session()
# raise SessionNotFound('Session specified by name: %s does not currently '
# 'exist.' % user)
def close_all(self):
for admin_session in list(self._sessions.keys()):
self._sessions[admin_session].logout()
self._sessions.clear()
def _get_session_key(self, session):
for name, _session in self._sessions.items():
if _session == session:
return name
def _register(self, session):
"""
Register a session
"""
user_name = session.name
smc.session_name.name = "{}-{}".format(user_name, session.api_version)
if user_name:
self._sessions[smc.session_name.name] = session
return smc.session_name.name
def _deregister(self, session):
"""
Deregister a session.
"""
if session in self:
self._sessions.pop(self._get_session_key(session), None)
class SSLAdapter(HTTPAdapter):
def init_poolmanager(self, connections, maxsize, block=False):
self.poolmanager = PoolManager(
num_pools=connections,
maxsize=maxsize,
block=block,
ssl_version=ssl.PROTOCOL_TLSv1_2)
class Session(object):
"""
Session represents the clients session to the SMC. A session is obtained
by calling login(). If sessions need to be long lived as might be the case
when running under a web platform, a session is automatically refreshed
when it expires. Best practice is to call logout() after to clear the
session from the SMC. A session will be automatically closed once the
python interpreter closes.
Each session will also have a single connection pool associated with
it. This results in a single persistent connection to the SMC that will
be re-used as needed.
"""
def __init__(self, manager=None):
self._params = {} # Retrieved from login
self._session = None # requests.Session
self._resource = None # smc.api.entry_point.Resource
self._manager = manager # Session Manager that tracks this session
# Transactions are supported in version 0.6.2 and beyond. When
# run with atomic, this session parameter indicates whether the
# operation in process is within an atomic block or not
self.in_atomic_block = False
# Transactions that are within the given atomic block
self.transactions = []
smc.session_name.name = None
@property
def manager(self):
"""
Return the session manager for this session
:rtype: SessionManager
"""
manager = SMCRequest._session_manager if not self._manager else self._manager
if not manager:
raise SessionManagerNotFound(
"A session manager was not found. "
"This is an initialization error binding the SessionManager. "
)
return manager
@property
def is_active(self):
"""
Is this session active. Active means there is a stored session ID for
the SMC using the current account. This does not specify whether the
session ID has been timed out on the server but does indicate the
account has not called logout.
:rtype: bool
"""
return self._session is not None and "JSESSIONID" in self._session.cookies
@property
def _extra_args(self):
"""
Extra args are collected from login and used if provided. These are
generally not needed but may be used to enable visibility of beta
features or set special settings
"""
return self._params.get("kwargs", {})
@property
def entry_points(self):
"""
Entry points that are bound to this session. Entry points are exposed
by the SMC API and provide links to top level resources
:rtype: Resource
"""
if not self._resource:
raise SMCConnectionError(
"No entry points found, it is likely " "there is no valid login session."
)
return self._resource
@property
def api_version(self):
"""
Current API Version
:rtype: str
"""
return self._params.get("api_version")
@property
def session(self):
return self._session
@property
def sock(self):
"""
get new secure socket from the pool
:rtype: SSLSocket
"""
return self._connpool._get_conn().sock
@property
def session_id(self):
"""
The session ID in header type format. Can be inserted into a
connection if necessary using::
{'Cookie': session.session_id}
:rtype: str
"""
return (
None
if not self.session or "JSESSIONID" not in self.session.cookies
else "JSESSIONID={}".format(self.session.cookies["JSESSIONID"])
)
@property
def credential(self):
# Login credentials
return Credential(**{k: self._params.get(k) for k in ("api_key", "login", "pwd")})
@property
def url(self):
"""
The fully qualified SMC URL in use, includes the port number
:rtype: str
"""
return self._params.get("url", "")
@property
def web_socket_url(self):
socket_proto = "wss" if self.is_ssl else "ws"
return "{}://{}/{}".format(socket_proto, self.url.split("://")[-1], self.api_version)
@property
def is_ssl(self):
"""
Is this an SSL connection
:rtype: bool
"""
return self.url.startswith("https") if self.session else False
@property
def timeout(self):
"""
Session timeout in seconds
:rtype: int
"""
return self._params.get("timeout", 30)
@property
def domain(self):
"""
Logged in SMC domain
:rtype: str
"""
return "Shared Domain" if not self._params.get("domain") else self._params.get("domain")
@property
def name(self):
"""
Return the administrator name for this session. Can be None if
the session has not yet been established.
.. note:: The administrator name was introduced in SMC version
6.4. Previous versions will show the unique session
identifier for this session.
:rtype: str
"""
if self.session: # protect cached property from being set before session
try:
return self.current_user.name
except AttributeError: # TODO: Catch ConnectionError? No session
pass
except SMCOperationFailure:
# Related to recent SMC update. It can failed in case user
# does not have Manage Administrator defined in his role.
logging.error(
"Failed to get username, please make sure you "
"can have 'Manage Administrator' in your role"
)
return hash(self)
@cached_property
def current_user(self):
"""
.. versionadded:: 0.6.0
Requires SMC version >= 6.4
Return the currently logged on API Client user element.
:raises UnsupportedEntryPoint: Current user is only supported with SMC
version >= 6.4
:rtype: Element
"""
if self.session:
try:
response = self.session.get(self.entry_points.get("current_user"))
if response.status_code in (200, 201):
admin_href = response.json().get("value")
request = SMCRequest(href=admin_href)
smcresult = send_request(self, "get", request)
return ElementFactory(admin_href, smcresult)
except UnsupportedEntryPoint:
pass
def login(
self,
url=None,
api_key=None,
login=None,
pwd=None,
api_version=None,
timeout=None,
verify=True,
alt_filepath=None,
domain=None,
**kwargs
):
"""
Login to SMC API and retrieve a valid session.
Sessions use a pool connection manager to provide dynamic scalability
during times of increased load. Each session is managed by a global
session manager making it possible to have more than one session per
interpreter.
An example login and logout session::
from smc import session
session.login(url='http://1.1.1.1:8082', api_key='SomeSMCG3ener@t3dPwd')
.....do stuff.....
session.logout()
:param str url: ip of SMC management server
:param str api_key: API key created for api client in SMC
:param str login: Administrator user in SMC that has privilege to SMC API.
:param str pwd: Password for user login.
:param api_version (optional): specify api version
:param int timeout: (optional): specify a timeout for initial connect; (default 10)
:param str|boolean verify: verify SSL connections using cert (default: verify=True)
You can pass verify the path to a CA_BUNDLE file or directory with certificates
of trusted CAs
:param str alt_filepath: If using .smcrc, alternate path+filename
:param str domain: domain to log in to. If domains are not configured, this
field will be ignored and api client logged in to 'Shared Domain'.
:param bool retry_on_busy: pass as kwarg with boolean if you want to add retries
if the SMC returns HTTP 503 error during operation. You can also optionally customize
this behavior and call :meth:`.set_retry_on_busy`
:return: user session name in SessionManager
:rtype: str
:raises ConfigLoadError: loading cfg from ~.smcrc fails
For SSL connections, you can disable validation of the SMC SSL certificate by setting
verify=False, however this is not a recommended practice.
If you want to use the SSL certificate generated and used by the SMC API server
for validation, set verify='path_to_my_dot_pem'. It is also recommended that your
certificate has subjectAltName defined per RFC 2818
If SSL warnings are thrown in debug output, see:
https://urllib3.readthedocs.io/en/latest/advanced-usage.html#ssl-warnings
Logout should be called to remove the session immediately from the
SMC server.
.. note:: As of SMC 6.4 it is possible to give a standard Administrative user
access to the SMC API. It is still possible to use an API Client by
providing the api_key in the login call.
"""
params = {}
if not url or (not api_key and not (login and pwd)):
try: # First try load from file
params = (
load_from_file(alt_filepath) if alt_filepath is not None else load_from_file()
)
logger.debug("Read config data from file: %s", params)
except ConfigLoadError:
# Last ditch effort, try to load from environment
params = load_from_environ()
logger.debug("Read config data from environ: %s", params)
params = params or dict(
url=url,
api_key=api_key,
login=login,
pwd=pwd,
api_version=api_version,
verify=verify,
timeout=timeout,
domain=domain,
kwargs=kwargs or {},
)
# Check to see this session is already logged in. If so, return.
# The session object represents a single connection. Log out to
# re-use the same session object or get_session() from the
# SessionManager to track multiple sessions.
if self.manager and (self.session and self in self.manager):
logger.info(
"An attempt to log in occurred when a session already "
"exists, bypassing login for session: %s" % self
)
return
self._params = {k: v for k, v in params.items() if v is not None}
verify_ssl = self._params.get("verify", True)
# Determine and set the API version we will use.
self._params.update(
api_version=get_api_version(self.url, self.api_version, self.timeout, verify_ssl)
)
extra_args = self._params.get("kwargs", {})
# Retries configured
retry_on_busy = extra_args.pop("retry_on_busy", False)
request = self._build_auth_request(verify_ssl, **extra_args)
# This will raise if session login fails...
self._session = self._get_session(request)
self.session.verify = verify_ssl
if retry_on_busy:
self.set_retry_on_busy()
# Load entry points
load_entry_points(self)
logger.debug(
"Login succeeded for admin: %s in domain: %s, session: %s",
self.name,
self.domain,
self.session_id,
)
return self.manager._register(self)
def __repr__(self):
return "Session(name=%s,domain=%s)" % (self.name, self.domain)
def _build_auth_request(self, verify=False, **kwargs):
"""
Build the authentication request to SMC
"""
json = {"domain": self.domain}
credential = self.credential
params = {}
if credential.provider_name.startswith("lms"):
if self.domain:
params = dict(login=credential._login, pwd=credential._pwd, domain=self.domain)
else:
params = dict(login=credential._login, pwd=credential._pwd)
else:
json.update(authenticationkey=credential._api_key)
if kwargs:
json.update(**kwargs)
# Store in case we need to rebuild later
self._extra_args.update(**kwargs)
request = dict(
url=self.credential.get_provider_entry_point(self.url, self.api_version),
json=json,
params=params,
headers={"content-type": "application/json"},
verify=verify,
)
return request
def _get_session(self, request):
"""
Authenticate the request dict
:param dict request: request dict built from user input
:raises SMCConnectionError: failure to connect
:return: python requests session
:rtype: requests.Session
"""
_session = requests.sessions.Session() # empty session
retry = Retry(
total=MAX_RETRY,
read=MAX_RETRY,
connect=MAX_RETRY,
backoff_factor=0.3,
method_whitelist=HTTP_METHODS_SUPPORTING_AUTO_RETRY,
status_forcelist=ERROR_CODES_SUPPORTING_AUTO_RETRY,
)
adapter = HTTPAdapter(max_retries=retry)
ssladapter = SSLAdapter(max_retries=retry)
_session.mount("http://", adapter)
_session.mount("https://", ssladapter)
response = _session.post(**request)
logger.info("Using SMC API version: %s", self.api_version)
self._connpool = ssladapter.get_connection(request.get("url"))
if response.status_code != 200:
raise SMCConnectionError(
"Login failed, HTTP status code: %s and reason: %s"
% (response.status_code, response.reason)
)
return _session
def logout(self):
"""
Logout session from SMC
:return: None
"""
if not self.session:
self.manager._deregister(self)
return
try:
r = self.session.put(self.entry_points.get("logout"))
if r.status_code == 204:
logger.info(
"Logged out admin: %s of domain: %s successfully", self.name, self.domain
)
else:
logger.error(
"Logout status was unexpected. Received response " "with status code: %s",
(r.status_code),
)
except requests.exceptions.SSLError as e:
logger.error("SSL exception thrown during logout: %s", e)
except requests.exceptions.ConnectionError as e:
logger.error("Connection error on logout: %s", e)
finally:
self.entry_points.clear()
self.manager._deregister(self)
requests.sessions.session().close()
try:
delattr(self, "current_user")
except AttributeError:
pass
logger.debug("Call counters: %s" % counters)
def refresh(self):
"""
Refresh session on 401. This is called automatically if your existing
session times out and resends the operation/s which returned the
error.
:raises SMCConnectionError: Problem re-authenticating using existing
api credentials
"""
if self.session and self.name: # Did session timeout?
logger.info(
"Session timed out, will try obtaining a new session using "
"previously saved credential information."
)
self.logout() # Force log out session just in case
self.login(**self.copy())
if self.session:
return
raise SMCConnectionError("Session expired and attempted refresh failed.")
def switch_domain(self, domain):
"""
Switch from one domain to another. You can call session.login() with
a domain key value to log directly into the domain of choice or alternatively
switch from domain to domain. The user must have permissions to the domain or
unauthorized will be returned. In addition, when switching domains, you will
be logged out of the current domain to close the connection pool associated
with the previous session. This prevents potentially excessive open
connections to SMC
::
session.login() # Log in to 'Shared Domain'
...
session.switch_domain('MyDomain')
:raises SMCConnectionError: Error logging in to specified domain.
This typically means the domain either doesn't exist or the
user does not have privileges to that domain.
"""
if self.domain != domain:
if self in self.manager: # Exit current domain
self.logout()
logger.info("Switching to domain: %r and creating new session", domain)
params = self.copy()
params.update(domain=domain)
self.login(**params)
def set_retry_on_busy(self, total=5, backoff_factor=0.1, status_forcelist=None, **kwargs):
"""
Mount a custom retry object on the current session that allows service level
retries when the SMC might reply with a Service Unavailable (503) message.
This can be possible in larger environments with higher database activity.
You can all this on the existing session, or provide as a dict to the login
constructor.
:param int total: total retries
:param float backoff_factor: when to retry
:param list status_forcelist: list of HTTP error codes to retry on
:param list method_whitelist: list of methods to apply retries for, GET, POST and
PUT by default
:return: None
"""
if self.session:
from requests.adapters import HTTPAdapter
from requests.packages.urllib3.util.retry import Retry
method_whitelist = kwargs.pop("method_whitelist", []) or ["GET", "POST", "PUT"]
status_forcelist = frozenset(status_forcelist) if status_forcelist else frozenset([503])
retry = Retry(
total=total,
backoff_factor=backoff_factor,
status_forcelist=status_forcelist,
method_whitelist=method_whitelist,
)
for proto_str in ("http://", "https://"):
self.session.mount(proto_str, HTTPAdapter(max_retries=retry))
logger.debug("Mounting retry object to HTTP session: %s" % retry)
def copy(self):
# Copy the relevant parameters to make another session login
# using the existing information
params = copy.copy(self._params)
kwargs = params.pop("kwargs", {})
params.update(**kwargs)
return params
def _get_log_schema(self):
"""
Get the log schema for this SMC version.
:return: dict
"""
if self.session and self.session_id:
schema = "{}/{}/monitoring/log/schemas".format(self.url, self.api_version)
response = self.session.get(
url=schema, headers={"cookie": self.session_id, "content-type": "application/json"}
)
if response.status_code in (200, 201):
return response.json()
class Credential(object):
"""
Provider for authenticating the user. LMS Login is a user created within
the SMC as a normal administrative account. Login is the standard way of
using an API client and key as password.
The key of the CredentialMap also indicates the entry point for which to
POST the authentication.
"""
CredentialMap = {"lms_login": ("login", "pwd"), "login": ("api_key",)}
def __init__(self, api_key=None, login=None, pwd=None):
self._api_key = api_key
self._login = login
self._pwd = pwd
@property
def provider_name(self):
return "login" if self._api_key else "lms_login"
def get_provider_entry_point(self, url, api_version):
return "{url}/{api_version}/{provider_name}".format(
url=url, api_version=api_version, provider_name=self.provider_name
)
@property
def has_credentials(self):
"""
Does this session have valid credentials
:rtype: bool
"""
return all(
[
getattr(self, "_%s" % field, None) is not None
for field in self.CredentialMap.get(self.provider_name)
]
)
def load_entry_points(self):
try:
r = self.session.get(
"{url}/{api_version}/api".format(url=self.url, api_version=self.api_version)
)
if r.status_code == 200:
result_list = json.loads(r.text)
self._resource = Resource(result_list["entry_point"])
logger.debug("Loaded entry points with obtained session.")
else:
raise SMCConnectionError(
"Invalid status received while getting entry points from SMC. "
"Status code received %s. Reason: %s" % (r.status_code, r.reason)
)
except requests.exceptions.RequestException as e:
raise SMCConnectionError(e)
def available_api_versions(base_url, timeout=10, verify=True):
"""
Get all available API versions for this SMC
:return version numbers
:rtype: list
"""
try:
r = requests.get("%s/api" % base_url, timeout=timeout, verify=verify) # no session required
if r.status_code == 200:
j = json.loads(r.text)
versions = []
for version in j["version"]:
versions.append(version["rel"])
return versions
raise SMCConnectionError(
"Invalid status received while getting entry points from SMC. "
"Status code received %s. Reason: %s" % (r.status_code, r.reason)
)
except requests.exceptions.RequestException as e:
raise SMCConnectionError(e)
def get_api_version(base_url, api_version=None, timeout=10, verify=True):
"""
Get the API version specified or resolve the latest version
:return api version
:rtype: float
"""
versions = available_api_versions(base_url, timeout, verify)
# search min and max versions
min_version = "99.99"
max_version = "0.0"
for i in versions:
major, minor = str(i).split(".")
major_max, minor_max = str(max_version).split(".")
major_min, minor_min = str(min_version).split(".")
if (int(major) == int(major_max) and int(minor) > int(minor_max))\
or (int(major) > int(major_max)):
max_version = major + "." + minor
if int(major) <= int(major_min) and int(minor) < int(minor_min):
min_version = major + "." + minor
newest_version = max_version
major_newest, minor_newest = str(newest_version).split(".")
if int(major_newest) <= 6 and int(minor_newest) <= 5:
best_version = newest_version
else:
best_version = min_version
if api_version is None:
api_version = best_version
else:
if api_version not in versions:
api_version = best_version
return api_version | PypiClean |
/JumpScale-core-6.0.0.tar.gz/JumpScale-core-6.0.0/lib/JumpScale/baselib/lrucache/LRUCache.py |
# Copyright 2004 Evan Prodromou <evan@bad.dynu.ca>
# Licensed under the Academic Free License 2.1
# arch-tag: LRU cache main module
"""a simple LRU (Least-Recently-Used) cache module
This module provides very simple LRU (Least-Recently-Used) cache
functionality.
An *in-memory cache* is useful for storing the results of an
'expensive' process (one that takes a lot of time or resources) for
later re-use. Typical examples are accessing data from the filesystem,
a database, or a network location. If you know you'll need to re-read
the data again, it can help to keep it in a cache.
You *can* use a Python dictionary as a cache for some purposes.
However, if the results you're caching are large, or you have a lot of
possible results, this can be impractical memory-wise.
An *LRU cache*, on the other hand, only keeps _some_ of the results in
memory, which keeps you from overusing resources. The cache is bounded
by a maximum size; if you try to add more values to the cache, it will
automatically discard the values that you haven't read or written to
in the longest time. In other words, the least-recently-used items are
discarded. [1]_
.. [1]: 'Discarded' here means 'removed from the cache'.
"""
from __future__ import generators
import time
from heapq import heappush, heappop, heapify
__version__ = "0.2"
__all__ = ['CacheKeyError', 'LRUCache', 'DEFAULT_SIZE']
__docformat__ = 'reStructuredText en'
DEFAULT_SIZE = 16
"""Default size of a new LRUCache object, if no 'size' argument is given."""
class CacheKeyError(KeyError):
"""Error raised when cache requests fail
When a cache record is accessed which no longer exists (or never did),
this error is raised. To avoid it, you may want to check for the existence
of a cache record before reading or deleting it."""
pass
class LRUCache(object):
class __Node(object):
"""Record of a cached value. Not for public consumption."""
def __init__(self, key, obj, timestamp):
object.__init__(self)
self.key = key
self.obj = obj
self.atime = timestamp
self.mtime = self.atime
def __cmp__(self, other):
return cmp(self.atime, other.atime)
def __repr__(self):
return "<%s %s => %s (%s)>" % \
(self.__class__, self.key, self.obj, \
time.asctime(time.localtime(self.atime)))
def __init__(self, size=DEFAULT_SIZE):
# Check arguments
if size <= 0:
raise ValueError, size
elif type(size) is not type(0):
raise TypeError, size
object.__init__(self)
self.__heap = []
self.__dict = {}
self.size = size
"""Maximum size of the cache.
If more than 'size' elements are added to the cache,
the least-recently-used ones will be discarded."""
def __len__(self):
return len(self.__heap)
def __contains__(self, key):
return self.__dict.has_key(key)
def __setitem__(self, key, obj):
if self.__dict.has_key(key):
node = self.__dict[key]
node.obj = obj
node.atime = time.time()
node.mtime = node.atime
heapify(self.__heap)
else:
# size may have been reset, so we loop
while len(self.__heap) >= self.size:
lru = heappop(self.__heap)
del self.__dict[lru.key]
node = self.__Node(key, obj, time.time())
self.__dict[key] = node
heappush(self.__heap, node)
def __getitem__(self, key):
if not self.__dict.has_key(key):
raise CacheKeyError(key)
else:
node = self.__dict[key]
node.atime = time.time()
heapify(self.__heap)
return node.obj
def __delitem__(self, key):
if not self.__dict.has_key(key):
raise CacheKeyError(key)
else:
node = self.__dict[key]
del self.__dict[key]
self.__heap.remove(node)
heapify(self.__heap)
return node.obj
def __iter__(self):
copy = self.__heap[:]
while len(copy) > 0:
node = heappop(copy)
yield node.key
raise StopIteration
def __setattr__(self, name, value):
object.__setattr__(self, name, value)
# automagically shrink heap on resize
if name == 'size':
while len(self.__heap) > value:
lru = heappop(self.__heap)
del self.__dict[lru.key]
def __repr__(self):
return "<%s (%d elements)>" % (str(self.__class__), len(self.__heap))
def mtime(self, key):
"""Return the last modification time for the cache record with key.
May be useful for cache instances where the stored values can get
'stale', such as caching file or network resource contents."""
if not self.__dict.has_key(key):
raise CacheKeyError(key)
else:
node = self.__dict[key]
return node.mtime
if __name__ == "__main__":
cache = LRUCache(25)
print cache
for i in range(50):
cache[i] = str(i)
print cache
if 46 in cache:
del cache[46]
print cache
cache.size = 10
print cache
cache[46] = '46'
print cache
print len(cache)
for c in cache:
print c
print cache
print cache.mtime(46)
for c in cache:
print c | PypiClean |
/Guerilla-1.0.2.tar.gz/Guerilla-1.0.2/guerilla/players.py | import chess
import random
import chess.uci
from abc import ABCMeta, abstractmethod
import guerilla.data_handler as dh
from guerilla.play.neural_net import NeuralNet
from guerilla.play.search import Minimax, IterativeDeepening
class Player:
__metaclass__ = ABCMeta
def __init__(self, name):
"""
Initializes the Player abstract class.
Input:
name [String]
Name of the player.
"""
self.name = name
@property
def colour(self):
return self._colour
@colour.setter
def colour(self, colour):
if colour.lower() in ['white', 'w']:
self._colour = 'white'
elif colour.lower() in ['black', 'b']:
self._colour = 'black'
else:
raise ValueError("Error: Invalid colour! Must be 'white','w','black', or 'b'.")
@abstractmethod
def __enter__(self):
raise NotImplementedError("You should never see this")
@abstractmethod
def __exit__(self, e_type, value, traceback):
raise NotImplementedError("You should never see this")
@abstractmethod
def get_move(self, board):
"""
Gets the next move from a player given the current board.
Input:
Board [chess.Board]
Output:
Move [chess.Move]
"""
raise NotImplementedError("You should never see this")
def new_game(self):
"""
Let's the player know that a new game is being played.
Output:
None.
"""
pass
class Guerilla(Player):
search_types = {
"minimax": Minimax,
"iterativedeepening": IterativeDeepening
}
def __init__(self, name, colour=None, search_type='minimax', load_file=None,
hp_load_file=None, seed=None, verbose=True, nn_params=None, search_params=None):
super(Guerilla, self).__init__(name)
self.nn = NeuralNet(load_file=load_file, hp_load_file=hp_load_file, seed=seed,
verbose=verbose, hp=nn_params)
search_params = {} if search_params is None else search_params
self.search = Guerilla.search_types[search_type](self.nn.evaluate, **search_params)
def __enter__(self):
self.nn.start_session()
self.nn.init_graph()
return self
def __exit__(self, e_type, value, traceback):
if e_type is not None:
print e_type, value, traceback
self.nn.close_session()
self.nn.reset_graph()
def get_move(self, board):
# print "Guerilla is thinking..."
score, move, leaf = self.search.run(board)
if move is None:
raise ValueError("There are no valid moves from this position! FEN: %s "
"\n\t Debug Info: Score: %f Move: %s Leaf Board: %s" % (
board.fen(), score, str(move), leaf))
return move
def get_cp_adv_white(self, fen):
"""
Returns the centipawn advantage of white given the current fen.
Input:
fen [String]
FEN.
Output:
centipawn advantage [Float]
Centipawn advantage of white.
"""
if dh.white_is_next(fen):
return self.nn.evaluate(fen)
else:
# Black plays next
return -self.nn.evaluate(dh.flip_board(fen))
def get_cp_adv_black(self, fen):
"""
Returns the centipawn advantage of black given the current fen.
Input:
fen [String]
FEN.
Output:
centipawn advantage [Float]
Centipawn advantage of black.
"""
return -self.get_cp_adv_white(fen)
class Human(Player):
def __init__(self, name, colour=None):
super(Human, self).__init__(name)
def __enter__(self):
return self
def __exit__(self, e_type, value, traceback):
if e_type is not None:
print e_type, value, traceback
def get_move_from_tml(self, board):
move = None
while True:
print "Please enter your move %s (? for help):" % self.name
usr_input = raw_input().lower()
if usr_input == '?':
print "Input move must be in algebraic notation (i.e. a2a3). \nOther commands"
print "\t?\tDisplay help (this text).\n\tl\tPrint legal moves.\n\tr\tPlay a random (legal) move."
elif usr_input == 'l':
print "Legal Moves: " + ', '.join([str(x) for x in board.legal_moves])
elif usr_input == 'r':
move = random.sample(board.legal_moves, 1)[0]
break
elif usr_input in [str(x) for x in board.legal_moves]:
move = chess.Move.from_uci(usr_input)
break
else:
print "Invalid or illegal input, legal moves are: " + ', '.join([str(x) for x in board.legal_moves])
return move
def get_move(self, board):
"""
Fetches a move from the command line.
Input:
Board [Chess.board]
"""
return self.get_move_from_tml(board)
class Stockfish(Player):
def __init__(self, name, colour=None, time_limit=2):
"""
Initializes the Stockfish class.
Input:
time_limit [Integer]
The time limit for each move search in SECONDS.
"""
super(Stockfish, self).__init__(name)
self.time_limit = time_limit * 1000 # convert to milliseconds
# Setup chess engine
self.engine = chess.uci.popen_engine('stockfish')
self.engine.uci()
self.new_game()
def __enter__(self):
return self
def __exit__(self, e_type, value, traceback):
if e_type is not None:
print e_type, value, traceback
def get_move(self, board):
self.engine.position(board)
move, _ = self.engine.go(movetime=self.time_limit)
return move
def new_game(self):
self.engine.ucinewgame()
pass
def main():
# test
with Guerilla('Harambe', search_type='iterativedeepening', search_params={'time_limit': 5},
load_file='6811.p') as g:
board = chess.Board()
print g.get_move(board)
print "HIT: {} MISS: {} DEPTH REACHED: {}".format(g.search.tt.cache_hit, g.search.tt.cache_miss,
g.search.depth_reached)
if __name__ == '__main__':
main() | PypiClean |
/GsuiteToMd-1.3.0.tar.gz/GsuiteToMd-1.3.0/docs/build/html/_static/doctools.js | * select a different prefix for underscore
*/
$u = _.noConflict();
/**
* make the code below compatible with browsers without
* an installed firebug like debugger
if (!window.console || !console.firebug) {
var names = ["log", "debug", "info", "warn", "error", "assert", "dir",
"dirxml", "group", "groupEnd", "time", "timeEnd", "count", "trace",
"profile", "profileEnd"];
window.console = {};
for (var i = 0; i < names.length; ++i)
window.console[names[i]] = function() {};
}
*/
/**
* small helper function to urldecode strings
*/
jQuery.urldecode = function(x) {
return decodeURIComponent(x).replace(/\+/g, ' ');
};
/**
* small helper function to urlencode strings
*/
jQuery.urlencode = encodeURIComponent;
/**
* This function returns the parsed url parameters of the
* current request. Multiple values per key are supported,
* it will always return arrays of strings for the value parts.
*/
jQuery.getQueryParameters = function(s) {
if (typeof s === 'undefined')
s = document.location.search;
var parts = s.substr(s.indexOf('?') + 1).split('&');
var result = {};
for (var i = 0; i < parts.length; i++) {
var tmp = parts[i].split('=', 2);
var key = jQuery.urldecode(tmp[0]);
var value = jQuery.urldecode(tmp[1]);
if (key in result)
result[key].push(value);
else
result[key] = [value];
}
return result;
};
/**
* highlight a given string on a jquery object by wrapping it in
* span elements with the given class name.
*/
jQuery.fn.highlightText = function(text, className) {
function highlight(node, addItems) {
if (node.nodeType === 3) {
var val = node.nodeValue;
var pos = val.toLowerCase().indexOf(text);
if (pos >= 0 &&
!jQuery(node.parentNode).hasClass(className) &&
!jQuery(node.parentNode).hasClass("nohighlight")) {
var span;
var isInSVG = jQuery(node).closest("body, svg, foreignObject").is("svg");
if (isInSVG) {
span = document.createElementNS("http://www.w3.org/2000/svg", "tspan");
} else {
span = document.createElement("span");
span.className = className;
}
span.appendChild(document.createTextNode(val.substr(pos, text.length)));
node.parentNode.insertBefore(span, node.parentNode.insertBefore(
document.createTextNode(val.substr(pos + text.length)),
node.nextSibling));
node.nodeValue = val.substr(0, pos);
if (isInSVG) {
var rect = document.createElementNS("http://www.w3.org/2000/svg", "rect");
var bbox = node.parentElement.getBBox();
rect.x.baseVal.value = bbox.x;
rect.y.baseVal.value = bbox.y;
rect.width.baseVal.value = bbox.width;
rect.height.baseVal.value = bbox.height;
rect.setAttribute('class', className);
addItems.push({
"parent": node.parentNode,
"target": rect});
}
}
}
else if (!jQuery(node).is("button, select, textarea")) {
jQuery.each(node.childNodes, function() {
highlight(this, addItems);
});
}
}
var addItems = [];
var result = this.each(function() {
highlight(this, addItems);
});
for (var i = 0; i < addItems.length; ++i) {
jQuery(addItems[i].parent).before(addItems[i].target);
}
return result;
};
/*
* backward compatibility for jQuery.browser
* This will be supported until firefox bug is fixed.
*/
if (!jQuery.browser) {
jQuery.uaMatch = function(ua) {
ua = ua.toLowerCase();
var match = /(chrome)[ \/]([\w.]+)/.exec(ua) ||
/(webkit)[ \/]([\w.]+)/.exec(ua) ||
/(opera)(?:.*version|)[ \/]([\w.]+)/.exec(ua) ||
/(msie) ([\w.]+)/.exec(ua) ||
ua.indexOf("compatible") < 0 && /(mozilla)(?:.*? rv:([\w.]+)|)/.exec(ua) ||
[];
return {
browser: match[ 1 ] || "",
version: match[ 2 ] || "0"
};
};
jQuery.browser = {};
jQuery.browser[jQuery.uaMatch(navigator.userAgent).browser] = true;
}
/**
* Small JavaScript module for the documentation.
*/
var Documentation = {
init : function() {
this.fixFirefoxAnchorBug();
this.highlightSearchWords();
this.initIndexTable();
if (DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS) {
this.initOnKeyListeners();
}
},
/**
* i18n support
*/
TRANSLATIONS : {},
PLURAL_EXPR : function(n) { return n === 1 ? 0 : 1; },
LOCALE : 'unknown',
// gettext and ngettext don't access this so that the functions
// can safely bound to a different name (_ = Documentation.gettext)
gettext : function(string) {
var translated = Documentation.TRANSLATIONS[string];
if (typeof translated === 'undefined')
return string;
return (typeof translated === 'string') ? translated : translated[0];
},
ngettext : function(singular, plural, n) {
var translated = Documentation.TRANSLATIONS[singular];
if (typeof translated === 'undefined')
return (n == 1) ? singular : plural;
return translated[Documentation.PLURALEXPR(n)];
},
addTranslations : function(catalog) {
for (var key in catalog.messages)
this.TRANSLATIONS[key] = catalog.messages[key];
this.PLURAL_EXPR = new Function('n', 'return +(' + catalog.plural_expr + ')');
this.LOCALE = catalog.locale;
},
/**
* add context elements like header anchor links
*/
addContextElements : function() {
$('div[id] > :header:first').each(function() {
$('<a class="headerlink">\u00B6</a>').
attr('href', '#' + this.id).
attr('title', _('Permalink to this headline')).
appendTo(this);
});
$('dt[id]').each(function() {
$('<a class="headerlink">\u00B6</a>').
attr('href', '#' + this.id).
attr('title', _('Permalink to this definition')).
appendTo(this);
});
},
/**
* workaround a firefox stupidity
* see: https://bugzilla.mozilla.org/show_bug.cgi?id=645075
*/
fixFirefoxAnchorBug : function() {
if (document.location.hash && $.browser.mozilla)
window.setTimeout(function() {
document.location.href += '';
}, 10);
},
/**
* highlight the search words provided in the url in the text
*/
highlightSearchWords : function() {
var params = $.getQueryParameters();
var terms = (params.highlight) ? params.highlight[0].split(/\s+/) : [];
if (terms.length) {
var body = $('div.body');
if (!body.length) {
body = $('body');
}
window.setTimeout(function() {
$.each(terms, function() {
body.highlightText(this.toLowerCase(), 'highlighted');
});
}, 10);
$('<p class="highlight-link"><a href="javascript:Documentation.' +
'hideSearchWords()">' + _('Hide Search Matches') + '</a></p>')
.appendTo($('#searchbox'));
}
},
/**
* init the domain index toggle buttons
*/
initIndexTable : function() {
var togglers = $('img.toggler').click(function() {
var src = $(this).attr('src');
var idnum = $(this).attr('id').substr(7);
$('tr.cg-' + idnum).toggle();
if (src.substr(-9) === 'minus.png')
$(this).attr('src', src.substr(0, src.length-9) + 'plus.png');
else
$(this).attr('src', src.substr(0, src.length-8) + 'minus.png');
}).css('display', '');
if (DOCUMENTATION_OPTIONS.COLLAPSE_INDEX) {
togglers.click();
}
},
/**
* helper function to hide the search marks again
*/
hideSearchWords : function() {
$('#searchbox .highlight-link').fadeOut(300);
$('span.highlighted').removeClass('highlighted');
},
/**
* make the url absolute
*/
makeURL : function(relativeURL) {
return DOCUMENTATION_OPTIONS.URL_ROOT + '/' + relativeURL;
},
/**
* get the current relative url
*/
getCurrentURL : function() {
var path = document.location.pathname;
var parts = path.split(/\//);
$.each(DOCUMENTATION_OPTIONS.URL_ROOT.split(/\//), function() {
if (this === '..')
parts.pop();
});
var url = parts.join('/');
return path.substring(url.lastIndexOf('/') + 1, path.length - 1);
},
initOnKeyListeners: function() {
$(document).keydown(function(event) {
var activeElementType = document.activeElement.tagName;
// don't navigate when in search box, textarea, dropdown or button
if (activeElementType !== 'TEXTAREA' && activeElementType !== 'INPUT' && activeElementType !== 'SELECT'
&& activeElementType !== 'BUTTON' && !event.altKey && !event.ctrlKey && !event.metaKey
&& !event.shiftKey) {
switch (event.keyCode) {
case 37: // left
var prevHref = $('link[rel="prev"]').prop('href');
if (prevHref) {
window.location.href = prevHref;
return false;
}
case 39: // right
var nextHref = $('link[rel="next"]').prop('href');
if (nextHref) {
window.location.href = nextHref;
return false;
}
}
}
});
}
};
// quick alias for translations
_ = Documentation.gettext;
$(document).ready(function() {
Documentation.init();
}); | PypiClean |
/ClickSQL-0.1.9.4.tar.gz/ClickSQL-0.1.9.4/README.md | # ClickSQL: ClickHouse client for Humans
[](https://github.com/sn0wfree/ClickSQL/actions/workflows/codeql-analysis.yml)
[](https://github.com/sn0wfree/ClickSQL/actions/workflows/python-package.yml)
--------------
Package information:
ClickSQL is a python client for ClickHouse database, which may help users to use ClickHouse more easier and pythonic.
More information for ClickHouse can be found at [here](http://clickhouse.tech)
## Installation
`pip install ClickSQL`
## Usage
### Initial connection
to setup a database connection and send a heartbeat-check signal
```python
from ClickSQL import BaseSingleFactorTableNode
conn_str = "clickhouse://default:test121231@99.99.9.9:8123/system"
Node = BaseSingleFactorTableNode(conn_str)
>>> connection test: Ok.
```
### Query
#### execute a SQL Query
```python
from ClickSQL import BaseSingleFactorTableNode
conn_str = "clickhouse://default:test121231@99.99.9.9:8123/system"
Node = BaseSingleFactorTableNode(conn_str)
Node('show tables from system limit 1')
>>> connection test: Ok.
>>> name
>>> 0 aggregate_function_combinators
```
#### execute a Query without SQL
```python
from ClickSQL import BaseSingleFactorTableNode
factor = BaseSingleFactorTableNode(
'clickhouse://default:default@127.0.0.1:8123/sample.sample',
cols=['cust_no', 'product_id', 'money'],
order_by_cols=['money asc'],
money='money >= 100000'
)
factor['money'].head(10)
>>> connection test: Ok.
>>> money
>>> 0 1000000.0
>>> 1 1000000.0
>>> 2 1000000.0
>>> 3 1000000.0
>>> 4 1000000.0
>>> 5 1000000.0
>>> 6 1000000.0
>>> 7 1000000.0
>>> 8 1000000.0
>>> 9 1000000.0
```
## Insert data
insert data into database by various ways
### Insert data via DataFrame
```python
from ClickSQL import BaseSingleFactorTableNode as factortable
import numpy as np
import pandas as pd
factor = factortable( 'clickhouse://default:default@127.0.0.1:8123/sample.sample' )
db = 'sample'
table = 'sample'
df = pd.DataFrame(np.random.random(size=(10000,3)),columns=['cust_no', 'product_id', 'money'])
factor.insert_df(df, db, table, chunksize=100000)
```
### Insert data via SQL(Inner)
```python
from ClickSQL import BaseSingleFactorTableNode as factortable
factor = factortable( 'clickhouse://default:default@127.0.0.1:8123/sample.sample' )
factor("insert into sample.sample select * from other_db.other_table")
```
### Create table
#### Create table by SQL
```python
from ClickSQL import BaseSingleFactorTableNode
conn_str = "clickhouse://default:test121231@99.99.9.9:8123/system"
Node = BaseSingleFactorTableNode(conn_str)
Node('create table test.test2 (v1 String, v2 Int64, v3 Float64,v4 DataTime) Engine=MergeTree() order by v4')
```
#### Create table by DataFrame
```python
from ClickSQL import BaseSingleFactorTableNode
import numpy as np
import pandas as pd
conn_str = "clickhouse://default:test121231@99.99.9.9:8123/system"
Node = BaseSingleFactorTableNode(conn_str)
db = 'test'
table = 'test2'
df_or_sql_or_dict = pd.DataFrame(np.random.random(size=(10000,2)),columns=['v1', 'v3'])
df_or_sql_or_dict['v2'] =1
df_or_sql_or_dict['v4'] =pd.to_datetime('2020-01-01 00:00:00')
Node.create( db, table, df_or_sql_or_dict, key_cols=['v4'],)
```
### Contribution
Welcome to improve this package or submit an issue or any others
## Author
sn0wfree
# Plan
## Available functions or properties
1. get data from clickhouse
2. insert data into clickhouse
3. create
4. alter
5. execute standard SQL and transform into DataFrame(Auto)
3. able to execute select query
4. able to execute insert query
5. no require clickhouse-client
6. auto create table sql
7. can execute explain query
8. Insert Data via DataFrame
3. alter function & drop function
## In Process
2. create a pandas_liked executable function, which can compatible with pandas
9. distributed query（query+insert）
## schedule
1. ORM
4. can execute user role query
5. create analysis component
6. auto report system
7. table register system
8. data manager system
8. meta data manager
| PypiClean |
/Nano-Assault-1.0.tar.gz/Nano-Assault-1.0/nanoassault/levels.py |
# (C) 2017, Eike Jesinghaus
# 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/>.
from .collectibles import Energy
from .enemies import CoccusDesertus, CoccusIactans, CoccusImmanis, BacillusCeler
from .level import Level
class LevelStart(Level):
def __init__(self, theme, keylevel):
Level.__init__(self, theme, (), (), keylevel)
class LevelCDCorner(Level):
def __init__(self, theme, keylevel):
Level.__init__(self, theme, (), ((CoccusDesertus, (2, 2)), (CoccusDesertus, (13, 2)), (CoccusDesertus, (2, 9)), (CoccusDesertus, (13, 9))), keylevel)
class LevelCIMid(Level):
def __init__(self, theme, keylevel):
Level.__init__(self, theme, (), ((CoccusIactans, (7.5, 5.5)),), keylevel)
class LevelCITwo(Level):
def __init__(self, theme, keylevel):
Level.__init__(self, theme, (), ((CoccusIactans, (6, 5)), (CoccusIactans, (9, 5))), keylevel)
class LevelCICD(Level):
def __init__(self, theme, keylevel):
Level.__init__(self, theme, (), ((CoccusDesertus, (4, 4)), (CoccusDesertus, (11, 4)), (CoccusDesertus, (4, 7)), (CoccusDesertus, (11, 7)), (CoccusIactans, (7.5, 5.5))), keylevel, Energy((7.5, 5.5)))
class LevelBossCI(Level):
def __init__(self, theme, keylevel):
Level.__init__(self, theme, (), ((CoccusImmanis, (7, 5)),), keylevel)
class LevelBC(Level):
def __init__(self, theme, keylevel):
Level.__init__(self, theme, (), ((BacillusCeler, (7, 5)),), keylevel)
class LevelBCCD(Level):
def __init__(self, theme, keylevel):
Level.__init__(self, theme, (), ((BacillusCeler, (7, 5)), (CoccusDesertus, (8, 5))), keylevel)
class LevelBCThree(Level):
def __init__(self, theme, keylevel):
Level.__init__(self, theme, (), ((BacillusCeler, (5, 5)), (BacillusCeler, (7, 5)), (BacillusCeler, (9, 5))), keylevel)
ALL_LEVELS = []
BOSS_LEVELS = []
for i in Level.__subclasses__():
if i.__name__.startswith("LevelBoss"):
BOSS_LEVELS.append(i)
else:
ALL_LEVELS.append(i) | PypiClean |
/Django_CryptographicFields-2.1.0-py3-none-any.whl/CryptographicFields/fields.py | from typing import Any
from django.db import models
from django.core import exceptions, validators
from django.db.models.fields import PositiveIntegerRelDbTypeMixin
from .cryptography import encrypt, decrypt
from ast import literal_eval
import datetime
from django import forms
from django.utils import timezone
from uuid import UUID
from django.utils.translation import gettext_lazy as _
from django.db.models.lookups import StartsWith as StartWith, FieldGetDbPrepValueMixin
"""
to_python() make validations & checks type of the data
get_db_prep_value() encrypts the data
from_db_value() decrypts the data returned from the db
pre_save() generates date ,datetime,time for the respestive fields
get_db_prep_save() saves the value into db
"""
class StartsWith(FieldGetDbPrepValueMixin, StartWith):
pass
class CharField(models.CharField):
def get_internal_type(self) -> str:
return "TextField"
def to_python(self, value: Any) -> Any:
return self.clean(super().to_python(value), None)
def get_prep_value(self, value: Any) -> Any:
return self.to_python(value)
def from_db_value(self, value: Any, expression: Any, connection: Any) -> Any:
return decrypt(value)
def get_db_prep_value(self, value, connection, prepared=False):
if not prepared:
value = self.get_prep_value(value)
return encrypt(value)
def clean(self, value, model_instance):
"""
Convert the value's type and run validation. Validation errors
from to_python() and validate() are propagated. Return the correct
value if no error is raised.
"""
self.validate(value, model_instance)
self.run_validators(value)
return value
class BooleanField(models.BooleanField):
def get_internal_type(self) -> str:
return "TextField"
def to_python(self, value: Any) -> Any:
return self.clean(super().to_python(value), None)
def get_prep_value(self, value: Any) -> Any:
return self.to_python(value)
def get_db_prep_value(self, value, connection, prepared=False):
if not prepared:
value = self.get_prep_value(value)
return encrypt(value)
def from_db_value(self, value: Any, expression: Any, connection: Any) -> Any:
return literal_eval(decrypt(value))
def clean(self, value, model_instance):
"""
Convert the value's type and run validation. Validation errors
from to_python() and validate() are propagated. Return the correct
value if no error is raised.
"""
self.validate(value, model_instance)
self.run_validators(value)
return value
class DateField(models.DateField):
def get_internal_type(self) -> str:
return "TextField"
def to_python(self, value: Any) -> Any:
return self.clean(super().to_python(value), None)
def get_prep_value(self, value: Any) -> Any:
return self.to_python(value)
def get_db_prep_value(self, value, connection, prepared=False):
# Casts dates into the format expected by the backend
if not prepared:
value = self.get_prep_value(value)
return encrypt(connection.ops.adapt_datefield_value(value))
def from_db_value(self, value: Any, expression: Any, connection: Any) -> Any:
try:
return datetime.date.fromisoformat(decrypt(value))
except AttributeError:
from timestring import Date
return Date(decrypt(value)).date.date()
def pre_save(self, model_instance, add):
if self.auto_now or (self.auto_now_add and add):
value = datetime.date.today()
setattr(model_instance, self.attname, value)
return value
else:
return super().pre_save(model_instance, add)
def clean(self, value, model_instance):
"""
Convert the value's type and run validation. Validation errors
from to_python() and validate() are propagated. Return the correct
value if no error is raised.
"""
self.validate(value, model_instance)
self.run_validators(value)
return value
class DateTimeField(models.DateTimeField):
def get_internal_type(self) -> str:
return "TextField"
def to_python(self, value: Any) -> Any:
return self.clean(super().to_python(value), None)
def get_prep_value(self, value: Any) -> Any:
return super().get_prep_value(value)
def get_db_prep_value(self, value, connection, prepared=False):
# Casts dates into the format expected by the backend
if not prepared:
value = self.get_prep_value(value)
return encrypt(connection.ops.adapt_datetimefield_value(value))
def from_db_value(self, value: Any, expression: Any, connection: Any) -> Any:
try:
return datetime.datetime.fromisoformat(decrypt(value))
except AttributeError:
from timestring import Date
return Date(decrypt(value)).date
def pre_save(self, model_instance, add):
if self.auto_now or (self.auto_now_add and add):
value = timezone.now()
setattr(model_instance, self.attname, value)
return value
else:
return super().pre_save(model_instance, add)
def clean(self, value, model_instance):
"""
Convert the value's type and run validation. Validation errors
from to_python() and validate() are propagated. Return the correct
value if no error is raised.
"""
self.validate(value, model_instance)
self.run_validators(value)
return value
class TimeField(models.TimeField):
def get_internal_type(self) -> str:
return "TextField"
def to_python(self, value: Any) -> Any:
return self.clean(super().to_python(value), None)
def get_prep_value(self, value: Any) -> Any:
return self.to_python(value)
def get_db_prep_value(self, value, connection, prepared=False):
# Casts dates into the format expected by the backend
if not prepared:
value = self.get_prep_value(value)
return encrypt(connection.ops.adapt_timefield_value(value))
def from_db_value(self, value: Any, expression: Any, connection: Any) -> Any:
try:
return datetime.time.fromisoformat(decrypt(value))
except AttributeError:
from timestring import Date
return Date(decrypt(value)).date.time()
def pre_save(self, model_instance, add):
if self.auto_now or (self.auto_now_add and add):
value = datetime.datetime.now().time()
setattr(model_instance, self.attname, value)
return value
else:
return super().pre_save(model_instance, add)
def clean(self, value, model_instance):
"""
Convert the value's type and run validation. Validation errors
from to_python() and validate() are propagated. Return the correct
value if no error is raised.
"""
self.validate(value, model_instance)
self.run_validators(value)
return value
class DecimalField(models.DecimalField):
def get_internal_type(self) -> str:
return "TextField"
def to_python(self, value: Any) -> Any:
return super().to_python(value)
def get_prep_value(self, value: Any) -> Any:
return self.to_python(value)
def get_db_prep_save(self, value, connection,):
return encrypt(connection.ops.adapt_decimalfield_value(self.get_prep_value(value), self.max_digits, self.decimal_places))
def from_db_value(self, value: Any, expression: Any, connection: Any) -> Any:
return float(decrypt(value))
# return value
def clean(self, value, model_instance):
"""
Convert the value's type and run validation. Validation errors
from to_python() and validate() are propagated. Return the correct
value if no error is raised.
"""
self.validate(value, model_instance)
self.run_validators(value)
return value
class EmailField(CharField):
default_validators = [validators.validate_email]
description = _("Email address")
def __init__(self, *args, **kwargs):
# max_length=254 to be compliant with RFCs 3696 and 5321
kwargs.setdefault('max_length', 254)
super().__init__(*args, **kwargs)
def formfield(self, **kwargs):
# As with CharField, this will cause email validation to be performed
# twice.
return super().formfield(**{
'form_class': forms.EmailField,
**kwargs,
})
class FloatField(models.FloatField):
def get_internal_type(self) -> str:
return "TextField"
def to_python(self, value: Any) -> Any:
return self.clean(super().to_python(value), None)
def get_prep_value(self, value: Any) -> Any:
return self.to_python(value)
def from_db_value(self, value: Any, expression: Any, connection: Any) -> Any:
return float(decrypt(value))
def get_db_prep_value(self, value, connection, prepared=False):
if not prepared:
value = self.get_prep_value(value)
return encrypt(value)
def clean(self, value, model_instance):
"""
Convert the value's type and run validation. Validation errors
from to_python() and validate() are propagated. Return the correct
value if no error is raised.
"""
self.validate(value, model_instance)
self.run_validators(value)
return value
class IntegerField(models.IntegerField):
def get_internal_type(self) -> str:
return "TextField"
def to_python(self, value: Any) -> Any:
return self.clean(super().to_python(value), None)
def get_prep_value(self, value: Any) -> Any:
return self.to_python(value)
def from_db_value(self, value: Any, expression: Any, connection: Any) -> Any:
return int(decrypt(value))
def get_db_prep_value(self, value, connection, prepared=False):
if not prepared:
value = self.get_prep_value(value)
return encrypt(value)
def clean(self, value, model_instance):
"""
Convert the value's type and run validation. Validation errors
from to_python() and validate() are propagated. Return the correct
value if no error is raised.
"""
self.validate(value, model_instance)
self.run_validators(value)
return value
class BigIntegerField(IntegerField):
error_messages = {
'invalid': _('“%(value)s” value must be less than %(max) & greater than %(min).'),
}
description = _("Big (8 byte) integer")
MAX_BIGINT = 9223372036854775807
def to_python(self, value: Any) -> Any:
value = self.clean(super().to_python(value), None)
if value < (-self.MAX_BIGINT-1) or value > self.MAX_BIGINT:
raise exceptions.ValidationError(self.error_messages['invalid'], code='invalid',
params={'value': value, 'max': self.MAX_BIGINT, 'min': (-self.MAX_BIGINT-1)})
return value
def formfield(self, **kwargs):
return super().formfield(**{
'min_value': -self.MAX_BIGINT - 1,
'max_value': self.MAX_BIGINT,
**kwargs,
})
class GenericIPAddressField(models.GenericIPAddressField):
def get_internal_type(self) -> str:
return "TextField"
def to_python(self, value: Any) -> Any:
return self.clean(super().to_python(value), None)
def get_prep_value(self, value: Any) -> Any:
return self.to_python(value)
def get_db_prep_value(self, value, connection, prepared=False):
if not prepared:
value = self.get_prep_value(value)
return encrypt(connection.ops.adapt_ipaddressfield_value(value))
def from_db_value(self, value: Any, expression: Any, connection: Any) -> Any:
return decrypt(value)
def clean(self, value, model_instance):
"""
Convert the value's type and run validation. Validation errors
from to_python() and validate() are propagated. Return the correct
value if no error is raised.
"""
self.validate(value, model_instance)
self.run_validators(value)
return value
class PositiveBigIntegerField(PositiveIntegerRelDbTypeMixin, IntegerField):
description = _('Positive big integer')
error_messages = {
'invalid': _('“%(value)s” value must be less than greater than %(min).'),
}
def to_python(self, value: Any) -> Any:
value = self.clean(super().to_python(value), None)
if value < 0:
raise exceptions.ValidationError(self.error_messages['invalid'], code='invalid',
params={'value': value, 'min': 0})
return value
def formfield(self, **kwargs):
return super().formfield(**{
'min_value': 0,
**kwargs,
})
class PositiveIntegerField(PositiveIntegerRelDbTypeMixin, IntegerField):
description = _("Positive integer")
error_messages = {
'invalid': _('“%(value)s” value must be less than greater than %(min).'),
}
def to_python(self, value: Any) -> Any:
value = self.clean(super().to_python(value), None)
if value < 0:
raise exceptions.ValidationError(self.error_messages['invalid'], code='invalid',
params={'value': value, 'min': 0})
return value
def formfield(self, **kwargs):
return super().formfield(**{
'min_value': 0,
**kwargs,
})
class PositiveSmallIntegerField(PositiveIntegerRelDbTypeMixin, IntegerField):
description = _("Positive small integer")
error_messages = {
'invalid': _('“%(value)s” value must be less than greater than %(min).'),
}
def to_python(self, value: Any) -> Any:
value = self.clean(super().to_python(value), None)
if value < 0:
raise exceptions.ValidationError(self.error_messages['invalid'], code='invalid',
params={'value': value, 'min': 0})
return value
def formfield(self, **kwargs):
return super().formfield(**{
'min_value': 0,
**kwargs,
})
class SlugField(CharField):
default_validators = [validators.validate_slug]
description = _("Slug (up to %(max_length)s)")
def __init__(self, *args, max_length=50, db_index=True, allow_unicode=False, **kwargs):
self.allow_unicode = allow_unicode
if self.allow_unicode:
self.default_validators = [validators.validate_unicode_slug]
super().__init__(*args, max_length=max_length, db_index=db_index, **kwargs)
def deconstruct(self):
name, path, args, kwargs = super().deconstruct()
if kwargs.get("max_length") == 50:
del kwargs['max_length']
if self.db_index is False:
kwargs['db_index'] = False
else:
del kwargs['db_index']
if self.allow_unicode is not False:
kwargs['allow_unicode'] = self.allow_unicode
return name, path, args, kwargs
def get_internal_type(self):
return "SlugField"
def formfield(self, **kwargs):
return super().formfield(**{
'form_class': forms.SlugField,
'allow_unicode': self.allow_unicode,
**kwargs,
})
class SmallIntegerField(IntegerField):
description = _("Small integer")
class TextField(models.TextField):
def get_internal_type(self) -> str:
return "TextField"
def to_python(self, value: Any) -> Any:
return self.clean(super().to_python(value), None)
def get_prep_value(self, value: Any) -> Any:
return self.to_python(value)
def from_db_value(self, value: Any, expression: Any, connection: Any) -> Any:
return decrypt(value)
def get_db_prep_value(self, value, connection, prepared=False):
if not prepared:
value = self.get_prep_value(value)
return encrypt(value)
def clean(self, value, model_instance):
"""
Convert the value's type and run validation. Validation errors
from to_python() and validate() are propagated. Return the correct
value if no error is raised.
"""
self.validate(value, model_instance)
self.run_validators(value)
return value
class URLField(CharField):
default_validators = [validators.URLValidator()]
description = _("URL")
def __init__(self, verbose_name=None, name=None, **kwargs):
kwargs.setdefault('max_length', 200)
super().__init__(verbose_name, name, **kwargs)
def deconstruct(self):
name, path, args, kwargs = super().deconstruct()
if kwargs.get("max_length") == 200:
del kwargs['max_length']
return name, path, args, kwargs
def formfield(self, **kwargs):
# As with CharField, this will cause URL validation to be performed
# twice.
return super().formfield(**{
'form_class': forms.URLField,
**kwargs,
})
class BinaryField(models.BinaryField):
def get_internal_type(self) -> str:
return "TextField"
def to_python(self, value: Any) -> Any:
if isinstance(value, str):
value = bytes(value, "UTF-8")
elif isinstance(value, memoryview):
value = bytes(value)
value = self.clean(value, None)
return value
def get_prep_value(self, value: Any) -> Any:
return self.to_python(value)
def from_db_value(self, value: Any, expression: Any, connection: Any) -> Any:
return bytes.fromhex(decrypt(value))
def get_db_prep_value(self, value, connection, prepared=False):
if not prepared:
value = self.get_prep_value(value)
return encrypt(bytes(connection.Database.Binary(value)).hex())
def clean(self, value, model_instance):
"""
Convert the value's type and run validation. Validation errors
from to_python() and validate() are propagated. Return the correct
value if no error is raised.
"""
self.validate(value, model_instance)
self.run_validators(value)
return value
class UUIDField(models.UUIDField):
def get_internal_type(self) -> str:
return "TextField"
def to_python(self, value: Any) -> Any:
return self.clean(super().to_python(value), None)
def get_prep_value(self, value: Any) -> Any:
return self.to_python(value)
def from_db_value(self, value: Any, expression: Any, connection: Any) -> Any:
return UUID(hex=decrypt(value))
def get_db_prep_value(self, value, connection, prepared=False):
if not prepared:
value = self.get_prep_value(value)
return encrypt(value.hex)
def clean(self, value, model_instance):
"""
Convert the value's type and run validation. Validation errors
from to_python() and validate() are propagated. Return the correct
value if no error is raised.
"""
self.validate(value, model_instance)
self.run_validators(value)
return value
class FilePathField(models.FilePathField):
def get_internal_type(self) -> str:
return "TextField"
def to_python(self, value: Any) -> Any:
return self.clean(super().to_python(value), None)
def get_prep_value(self, value: Any) -> Any:
return self.to_python(value)
def from_db_value(self, value: Any, expression: Any, connection: Any) -> Any:
return decrypt(value)
def get_db_prep_value(self, value, connection, prepared=False):
if not prepared:
value = self.get_prep_value(value)
return encrypt(value)
def clean(self, value, model_instance):
"""
Convert the value's type and run validation. Validation errors
from to_python() and validate() are propagated. Return the correct
value if no error is raised.
"""
self.validate(value, model_instance)
self.run_validators(value)
return value
CharField.register_lookup(StartsWith)
BooleanField.register_lookup(StartsWith)
DateField.register_lookup(StartsWith)
DateTimeField.register_lookup(StartsWith)
EmailField.register_lookup(StartsWith)
GenericIPAddressField.register_lookup(StartsWith)
SlugField.register_lookup(StartsWith)
TextField.register_lookup(StartsWith)
URLField.register_lookup(StartsWith)
BinaryField.register_lookup(StartsWith)
UUIDField.register_lookup(StartsWith)
FilePathField.register_lookup(StartsWith)
DateField.register_lookup(StartsWith, lookup_name="date")
DateTimeField.register_lookup(StartsWith, lookup_name="date")
TimeField.register_lookup(StartsWith, lookup_name="time") | PypiClean |
/Cubane-1.0.11.tar.gz/Cubane-1.0.11/cubane/lib/ucsv.py | from __future__ import unicode_literals
from cubane.lib.utf8 import get_file_encoding, write_file_encoding
import csv ; from csv import *
import codecs
import cStringIO
__version__ = '1.0 Unicode'
__dropins__ = ['reader', 'writer']
class UTF8Recoder:
"""
Iterator that reads a stream encoded in the given encoding.
The output is re-encoded to UTF-8 for internal consistency.
"""
def __init__(self, f, encoding):
self.reader = codecs.getreader(encoding)(f)
def __iter__(self):
return self
def next(self):
chunk = self.reader.next()
chunk = chunk.encode('utf-8')
return chunk
class reader:
"""
A CSV reader which will iterate over lines in the CSV file 'f',
from content in the optional encoding.
"""
def __init__(self, f, dialect=csv.excel, encoding='utf-8', **kwds):
# try to read BOM if available
bom, encoding = get_file_encoding(f, encoding)
# open csv reader
f = UTF8Recoder(f, encoding)
self.reader = csv.reader(f, dialect=dialect, **kwds)
def value(self, s):
try:
return int(s)
except:
pass
try:
return float(s)
except:
pass
return unicode(s, 'utf-8')
def next(self):
row = self.reader.next()
return [self.value(s) for s in row]
def __iter__(self):
return self
class writer:
"""
A CSV writer which will write rows to CSV file 'f',
employing the given encoding.
"""
def __init__(self, f, dialect=csv.excel, encoding='utf-8', **kwds):
self.queue = cStringIO.StringIO()
self.writer = csv.writer(self.queue, dialect=dialect, **kwds)
self.stream = f
self.encoder = codecs.lookup(encoding)[-1](f, 'ignore')
# write byte order mark for UTF encodings
write_file_encoding(self.stream, encoding)
def writerow(self, row):
self.writer.writerow([(u'%s'%s).encode('utf-8') for s in row])
# fetch UTF-8 output from the queue ...
data = self.queue.getvalue()
data = data.decode('utf-8')
# ... and reencode it into the target encoding
self.encoder.write(data)
# empty queue
self.queue.truncate(0)
def writerows(self, rows):
for row in rows:
self.writerow(row) | PypiClean |
/Nuitka-1.8.tar.gz/Nuitka-1.8/nuitka/build/inline_copy/lib/scons-2.3.2/SCons/Platform/win32.py |
__revision__ = "src/engine/SCons/Platform/win32.py 2014/07/05 09:42:21 garyo"
import os
import os.path
import sys
import tempfile
from SCons.Platform.posix import exitvalmap
from SCons.Platform import TempFileMunge
import SCons.Util
try:
import msvcrt
import win32api
import win32con
msvcrt.get_osfhandle
win32api.SetHandleInformation
win32con.HANDLE_FLAG_INHERIT
except ImportError:
parallel_msg = \
"you do not seem to have the pywin32 extensions installed;\n" + \
"\tparallel (-j) builds may not work reliably with open Python files."
except AttributeError:
parallel_msg = \
"your pywin32 extensions do not support file handle operations;\n" + \
"\tparallel (-j) builds may not work reliably with open Python files."
else:
parallel_msg = None
import builtins
_builtin_file = builtins.file
_builtin_open = builtins.open
class _scons_file(_builtin_file):
def __init__(self, *args, **kw):
_builtin_file.__init__(self, *args, **kw)
win32api.SetHandleInformation(msvcrt.get_osfhandle(self.fileno()),
win32con.HANDLE_FLAG_INHERIT, 0)
def _scons_open(*args, **kw):
fp = _builtin_open(*args, **kw)
win32api.SetHandleInformation(msvcrt.get_osfhandle(fp.fileno()),
win32con.HANDLE_FLAG_INHERIT,
0)
return fp
builtins.file = _scons_file
builtins.open = _scons_open
try:
import threading
spawn_lock = threading.Lock()
# This locked version of spawnve works around a Windows
# MSVCRT bug, because its spawnve is not thread-safe.
# Without this, python can randomly crash while using -jN.
# See the python bug at http://bugs.python.org/issue6476
# and SCons issue at
# http://scons.tigris.org/issues/show_bug.cgi?id=2449
def spawnve(mode, file, args, env):
spawn_lock.acquire()
try:
if mode == os.P_WAIT:
ret = os.spawnve(os.P_NOWAIT, file, args, env)
else:
ret = os.spawnve(mode, file, args, env)
finally:
spawn_lock.release()
if mode == os.P_WAIT:
pid, status = os.waitpid(ret, 0)
ret = status >> 8
return ret
except ImportError:
# Use the unsafe method of spawnve.
# Please, don't try to optimize this try-except block
# away by assuming that the threading module is always present.
# In the test test/option-j.py we intentionally call SCons with
# a fake threading.py that raises an import exception right away,
# simulating a non-existent package.
def spawnve(mode, file, args, env):
return os.spawnve(mode, file, args, env)
# The upshot of all this is that, if you are using Python 1.5.2,
# you had better have cmd or command.com in your PATH when you run
# scons.
def piped_spawn(sh, escape, cmd, args, env, stdout, stderr):
# There is no direct way to do that in python. What we do
# here should work for most cases:
# In case stdout (stderr) is not redirected to a file,
# we redirect it into a temporary file tmpFileStdout
# (tmpFileStderr) and copy the contents of this file
# to stdout (stderr) given in the argument
if not sh:
sys.stderr.write("scons: Could not find command interpreter, is it in your PATH?\n")
return 127
else:
# one temporary file for stdout and stderr
tmpFileStdout = os.path.normpath(tempfile.mktemp())
tmpFileStderr = os.path.normpath(tempfile.mktemp())
# check if output is redirected
stdoutRedirected = 0
stderrRedirected = 0
for arg in args:
# are there more possibilities to redirect stdout ?
if (arg.find( ">", 0, 1 ) != -1 or
arg.find( "1>", 0, 2 ) != -1):
stdoutRedirected = 1
# are there more possibilities to redirect stderr ?
if arg.find( "2>", 0, 2 ) != -1:
stderrRedirected = 1
# redirect output of non-redirected streams to our tempfiles
if stdoutRedirected == 0:
args.append(">" + str(tmpFileStdout))
if stderrRedirected == 0:
args.append("2>" + str(tmpFileStderr))
# actually do the spawn
try:
args = [sh, '/C', escape(' '.join(args)) ]
ret = spawnve(os.P_WAIT, sh, args, env)
except OSError, e:
# catch any error
try:
ret = exitvalmap[e[0]]
except KeyError:
sys.stderr.write("scons: unknown OSError exception code %d - %s: %s\n" % (e[0], cmd, e[1]))
if stderr is not None:
stderr.write("scons: %s: %s\n" % (cmd, e[1]))
# copy child output from tempfiles to our streams
# and do clean up stuff
if stdout is not None and stdoutRedirected == 0:
try:
stdout.write(open( tmpFileStdout, "r" ).read())
os.remove( tmpFileStdout )
except (IOError, OSError):
pass
if stderr is not None and stderrRedirected == 0:
try:
stderr.write(open( tmpFileStderr, "r" ).read())
os.remove( tmpFileStderr )
except (IOError, OSError):
pass
return ret
def exec_spawn(l, env):
try:
result = spawnve(os.P_WAIT, l[0], l, env)
except OSError, e:
try:
result = exitvalmap[e[0]]
sys.stderr.write("scons: %s: %s\n" % (l[0], e[1]))
except KeyError:
result = 127
if len(l) > 2:
if len(l[2]) < 1000:
command = ' '.join(l[0:3])
else:
command = l[0]
else:
command = l[0]
sys.stderr.write("scons: unknown OSError exception code %d - '%s': %s\n" % (e[0], command, e[1]))
return result
def spawn(sh, escape, cmd, args, env):
if not sh:
sys.stderr.write("scons: Could not find command interpreter, is it in your PATH?\n")
return 127
return exec_spawn([sh, '/C', escape(' '.join(args))], env)
# Windows does not allow special characters in file names anyway, so no
# need for a complex escape function, we will just quote the arg, except
# that "cmd /c" requires that if an argument ends with a backslash it
# needs to be escaped so as not to interfere with closing double quote
# that we add.
def escape(x):
if x[-1] == '\\':
x = x + '\\'
return '"' + x + '"'
# Get the windows system directory name
_system_root = None
def get_system_root():
global _system_root
if _system_root is not None:
return _system_root
# A resonable default if we can't read the registry
val = os.environ.get('SystemRoot', "C:\\WINDOWS")
if SCons.Util.can_read_reg:
try:
# Look for Windows NT system root
k=SCons.Util.RegOpenKeyEx(SCons.Util.hkey_mod.HKEY_LOCAL_MACHINE,
'Software\\Microsoft\\Windows NT\\CurrentVersion')
val, tok = SCons.Util.RegQueryValueEx(k, 'SystemRoot')
except SCons.Util.RegError:
try:
# Okay, try the Windows 9x system root
k=SCons.Util.RegOpenKeyEx(SCons.Util.hkey_mod.HKEY_LOCAL_MACHINE,
'Software\\Microsoft\\Windows\\CurrentVersion')
val, tok = SCons.Util.RegQueryValueEx(k, 'SystemRoot')
except KeyboardInterrupt:
raise
except:
pass
_system_root = val
return val
# Get the location of the program files directory
def get_program_files_dir():
# Now see if we can look in the registry...
val = ''
if SCons.Util.can_read_reg:
try:
# Look for Windows Program Files directory
k=SCons.Util.RegOpenKeyEx(SCons.Util.hkey_mod.HKEY_LOCAL_MACHINE,
'Software\\Microsoft\\Windows\\CurrentVersion')
val, tok = SCons.Util.RegQueryValueEx(k, 'ProgramFilesDir')
except SCons.Util.RegError:
val = ''
pass
if val == '':
# A reasonable default if we can't read the registry
# (Actually, it's pretty reasonable even if we can :-)
val = os.path.join(os.path.dirname(get_system_root()),"Program Files")
return val
# Determine which windows CPU were running on.
class ArchDefinition(object):
"""
A class for defining architecture-specific settings and logic.
"""
def __init__(self, arch, synonyms=[]):
self.arch = arch
self.synonyms = synonyms
SupportedArchitectureList = [
ArchDefinition(
'x86',
['i386', 'i486', 'i586', 'i686'],
),
ArchDefinition(
'x86_64',
['AMD64', 'amd64', 'em64t', 'EM64T', 'x86_64'],
),
ArchDefinition(
'ia64',
['IA64'],
),
]
SupportedArchitectureMap = {}
for a in SupportedArchitectureList:
SupportedArchitectureMap[a.arch] = a
for s in a.synonyms:
SupportedArchitectureMap[s] = a
def get_architecture(arch=None):
"""Returns the definition for the specified architecture string.
If no string is specified, the system default is returned (as defined
by the PROCESSOR_ARCHITEW6432 or PROCESSOR_ARCHITECTURE environment
variables).
"""
if arch is None:
arch = os.environ.get('PROCESSOR_ARCHITEW6432')
if not arch:
arch = os.environ.get('PROCESSOR_ARCHITECTURE')
return SupportedArchitectureMap.get(arch, ArchDefinition('', ['']))
def generate(env):
# Attempt to find cmd.exe (for WinNT/2k/XP) or
# command.com for Win9x
cmd_interp = ''
# First see if we can look in the registry...
if SCons.Util.can_read_reg:
try:
# Look for Windows NT system root
k=SCons.Util.RegOpenKeyEx(SCons.Util.hkey_mod.HKEY_LOCAL_MACHINE,
'Software\\Microsoft\\Windows NT\\CurrentVersion')
val, tok = SCons.Util.RegQueryValueEx(k, 'SystemRoot')
cmd_interp = os.path.join(val, 'System32\\cmd.exe')
except SCons.Util.RegError:
try:
# Okay, try the Windows 9x system root
k=SCons.Util.RegOpenKeyEx(SCons.Util.hkey_mod.HKEY_LOCAL_MACHINE,
'Software\\Microsoft\\Windows\\CurrentVersion')
val, tok = SCons.Util.RegQueryValueEx(k, 'SystemRoot')
cmd_interp = os.path.join(val, 'command.com')
except KeyboardInterrupt:
raise
except:
pass
# For the special case of not having access to the registry, we
# use a temporary path and pathext to attempt to find the command
# interpreter. If we fail, we try to find the interpreter through
# the env's PATH. The problem with that is that it might not
# contain an ENV and a PATH.
if not cmd_interp:
systemroot = get_system_root()
tmp_path = systemroot + os.pathsep + \
os.path.join(systemroot,'System32')
tmp_pathext = '.com;.exe;.bat;.cmd'
if 'PATHEXT' in os.environ:
tmp_pathext = os.environ['PATHEXT']
cmd_interp = SCons.Util.WhereIs('cmd', tmp_path, tmp_pathext)
if not cmd_interp:
cmd_interp = SCons.Util.WhereIs('command', tmp_path, tmp_pathext)
if not cmd_interp:
cmd_interp = env.Detect('cmd')
if not cmd_interp:
cmd_interp = env.Detect('command')
if 'ENV' not in env:
env['ENV'] = {}
# Import things from the external environment to the construction
# environment's ENV. This is a potential slippery slope, because we
# *don't* want to make builds dependent on the user's environment by
# default. We're doing this for SystemRoot, though, because it's
# needed for anything that uses sockets, and seldom changes, and
# for SystemDrive because it's related.
#
# Weigh the impact carefully before adding other variables to this list.
import_env = [ 'SystemDrive', 'SystemRoot', 'TEMP', 'TMP' ]
for var in import_env:
v = os.environ.get(var)
if v:
env['ENV'][var] = v
if 'COMSPEC' not in env['ENV']:
v = os.environ.get("COMSPEC")
if v:
env['ENV']['COMSPEC'] = v
env.AppendENVPath('PATH', get_system_root() + '\System32')
env['ENV']['PATHEXT'] = '.COM;.EXE;.BAT;.CMD'
env['OBJPREFIX'] = ''
env['OBJSUFFIX'] = '.obj'
env['SHOBJPREFIX'] = '$OBJPREFIX'
env['SHOBJSUFFIX'] = '$OBJSUFFIX'
env['PROGPREFIX'] = ''
env['PROGSUFFIX'] = '.exe'
env['LIBPREFIX'] = ''
env['LIBSUFFIX'] = '.lib'
env['SHLIBPREFIX'] = ''
env['SHLIBSUFFIX'] = '.dll'
env['LIBPREFIXES'] = [ '$LIBPREFIX' ]
env['LIBSUFFIXES'] = [ '$LIBSUFFIX' ]
env['PSPAWN'] = piped_spawn
env['SPAWN'] = spawn
env['SHELL'] = cmd_interp
env['TEMPFILE'] = TempFileMunge
env['TEMPFILEPREFIX'] = '@'
env['MAXLINELENGTH'] = 2048
env['ESCAPE'] = escape
env['HOST_OS'] = 'win32'
env['HOST_ARCH'] = get_architecture().arch
# Local Variables:
# tab-width:4
# indent-tabs-mode:nil
# End:
# vim: set expandtab tabstop=4 shiftwidth=4: | PypiClean |
/EVE_Gnosis-2017.6.27.tar.gz/EVE_Gnosis-2017.6.27/EVE_Gnosis/formulas/formulas.py | from math import sqrt, exp
class Formulas(object):
def __init__(self):
pass
@staticmethod
def capacitor_shield_tick(maximum_amount, current_amount, recharge_rate, end_time=1000, start_time=0):
"""
:param maximum_amount: The size of the capacitor/shield in gigajoules (GJ)
:param current_amount: The current level of the capacitor/shield in gigajoules (GJ)
:param recharge_rate: Recharge time listed for the capacitor/shield, in milliseconds
:param end_time: The length of time that we are running, in milliseconds
:param start_time: The length of time that we are starting, in milliseconds (unlikely to be used)
:return: Returns the new capacitor amount in gigajoules (GJ)
This function assumes nothing else is at play to change the values while it's being calculated.
Formula validated and confirmed by CCP Larrikin. <3
"""
tau = recharge_rate / 5.0
time_diff = start_time - end_time
new_amount = (
(1.0 + (sqrt(current_amount / maximum_amount) - 1.0) * exp(time_diff / tau)) ** 2
) * maximum_amount
if new_amount > maximum_amount:
# Sanity check and make sure we don't return more than our maximum somehow.
return maximum_amount
else:
return new_amount
@staticmethod
def capacitor_shield_regen_matrix(capacitor_amount, capacitor_time):
"""
:param capacitor_amount: The size of the capacitor/shield in gigajoules (GJ)
:param capacitor_time: Recharge time listed for the capacitor/shield, in milliseconds
:return: A matrix with the percent, capacitor amount after the tick, and the delta
This function assumes nothing else is at play to change the values while it's being calculated.
Most useful to determine the percentage point that gives the most cap, or for graphing it.
"""
regen_matrix = []
percent = 0
while percent < 1:
current_amount = capacitor_amount * percent
tick_amount = Formulas.capacitor_shield_tick(capacitor_amount, current_amount, capacitor_time)
regen_matrix.append(
{
'Percent': round(percent, 2),
'AmountPostTick': tick_amount,
'DeltaAmount': tick_amount - current_amount
}
)
percent += .01
regen_matrix.append(
{
'Percent': 1,
'AmountPostTick': capacitor_amount,
'DeltaAmount': 0
}
)
return regen_matrix
@staticmethod
def stacking_penalty(value, depth):
"""
:param value: The value to apply the stacking penalty to
:param depth: How many stacking penalties to apply
:return: Value after stacking penalties have been applied.
"""
current_effectiveness = 1 / exp(((depth - 1) / 2.67) ** 2.0)
new_value = 1 + ((value * current_effectiveness) / 100)
return new_value | PypiClean |
/Crowd-3.1.0-py3-none-any.whl/crowd.py |
import json
import requests
from lxml import etree
class CrowdServer(object):
"""Crowd server authentication object.
This is a Crowd authentication class to be configured for a
particular application (app_name) to authenticate users
against a Crowd server (crowd_url).
This module uses the Crowd JSON API for talking to Crowd.
An application account must be configured in the Crowd server
and permitted to authenticate users against one or more user
directories prior to using this module.
Please see the Crowd documentation for information about
configuring additional applications to talk to Crowd.
The ``ssl_verify`` parameter controls how and if certificates are verified.
If ``True``, the SSL certificate will be verified.
A CA_BUNDLE path can also be provided.
The ``client_cert`` tuple (cert,key) specifies a SSL client certificate and key files.
"""
def __init__(self, crowd_url, app_name, app_pass, ssl_verify=True,
timeout=None, client_cert=None):
self.crowd_url = crowd_url
self.app_name = app_name
self.app_pass = app_pass
self.rest_url = crowd_url.rstrip("/") + "/rest/usermanagement/1"
self.ssl_verify = ssl_verify
self.client_cert = client_cert
self.timeout = timeout
self.session = self._build_session(content_type='json')
self.session_xml = self._build_session(content_type='xml')
def __str__(self):
return "Crowd Server at %s" % self.crowd_url
def __repr__(self):
return "<CrowdServer('%s', '%s', '%s')>" % \
(self.crowd_url, self.app_name, self.app_pass)
def _build_session(self, content_type='json'):
headers = {
'Content-Type': 'application/{}'.format(content_type),
'Accept': 'application/{}'.format(content_type),
}
session = requests.Session()
session.verify = self.ssl_verify
session.cert = self.client_cert
session.auth = requests.auth.HTTPBasicAuth(self.app_name, self.app_pass)
session.headers.update(headers)
return session
def _get(self, *args, **kwargs):
"""Wrapper around Requests for GET requests
Returns:
Response:
A Requests Response object
"""
if 'timeout' not in kwargs:
kwargs['timeout'] = self.timeout
req = self.session.get(*args, **kwargs)
return req
def _get_xml(self, *args, **kwargs):
"""Wrapper around Requests for GET XML requests
Returns:
Response:
A Requests Response object
"""
req = self.session_xml.get(*args, **kwargs)
return req
def _post(self, *args, **kwargs):
"""Wrapper around Requests for POST requests
Returns:
Response:
A Requests Response object
"""
if 'timeout' not in kwargs:
kwargs['timeout'] = self.timeout
req = self.session.post(*args, **kwargs)
return req
def _post_xml(self, *args, **kwargs):
"""Wrapper around Requests for POST requests
Returns:
Response:
A Requests Response object
"""
if 'timeout' not in kwargs:
kwargs['timeout'] = self.timeout
req = self.session_xml.post(*args, **kwargs)
return req
def _put(self, *args, **kwargs):
"""Wrapper around Requests for PUT requests
Returns:
Response:
A Requests Response object
"""
if 'timeout' not in kwargs:
kwargs['timeout'] = self.timeout
req = self.session.put(*args, **kwargs)
return req
def _delete(self, *args, **kwargs):
"""Wrapper around Requests for DELETE requests
Returns:
Response:
A Requests Response object
"""
if 'timeout' not in kwargs:
kwargs['timeout'] = self.timeout
req = self.session.delete(*args, **kwargs)
return req
def auth_ping(self):
"""Test that application can authenticate to Crowd.
Attempts to authenticate the application user against
the Crowd server. In order for user authentication to
work, an application must be able to authenticate.
Returns:
bool:
True if the application authentication succeeded.
"""
url = self.rest_url + "/non-existent/location"
response = self._get(url)
if response.status_code == 401:
return False
elif response.status_code == 404:
return True
else:
# An error encountered - problem with the Crowd server?
return False
def auth_user(self, username, password):
"""Authenticate a user account against the Crowd server.
Attempts to authenticate the user against the Crowd server.
Args:
username: The account username.
password: The account password.
Returns:
dict:
A dict mapping of user attributes if the application
authentication was successful. See the Crowd documentation
for the authoritative list of attributes.
None: If authentication failed.
"""
response = self._post(self.rest_url + "/authentication",
data=json.dumps({"value": password}),
params={"username": username})
# If authentication failed for any reason return None
if not response.ok:
return None
# ...otherwise return a dictionary of user attributes
return response.json()
def get_session(self, username, password, remote="127.0.0.1", proxy=None):
"""Create a session for a user.
Attempts to create a user session on the Crowd server.
Args:
username: The account username.
password: The account password.
remote:
The remote address of the user. This can be used
to create multiple concurrent sessions for a user.
The host you run this program on may need to be configured
in Crowd as a trusted proxy for this to work.
proxy: Value of X-Forwarded-For server header.
Returns:
dict:
A dict mapping of user attributes if the application
authentication was successful. See the Crowd
documentation for the authoritative list of attributes.
None: If authentication failed.
"""
params = {
"username": username,
"password": password,
"validation-factors": {
"validationFactors": [
{"name": "remote_address", "value": remote, },
]
}
}
if proxy:
params["validation-factors"]["validationFactors"].append({"name": "X-Forwarded-For", "value": proxy, })
response = self._post(self.rest_url + "/session",
data=json.dumps(params),
params={"expand": "user"})
# If authentication failed for any reason return None
if not response.ok:
return None
# Otherwise return the user object
return response.json()
def validate_session(self, token, remote="127.0.0.1", proxy=None):
"""Validate a session token.
Validate a previously acquired session token against the
Crowd server. This may be a token provided by a user from
a http cookie or by some other means.
Args:
token: The session token.
remote: The remote address of the user.
proxy: Value of X-Forwarded-For server header
Returns:
dict:
A dict mapping of user attributes if the application
authentication was successful. See the Crowd
documentation for the authoritative list of attributes.
None: If authentication failed.
"""
params = {
"validationFactors": [
{"name": "remote_address", "value": remote, },
]
}
if proxy:
params["validationFactors"].append({"name": "X-Forwarded-For", "value": proxy, })
url = self.rest_url + "/session/%s" % token
response = self._post(url, data=json.dumps(params), params={"expand": "user"})
# For consistency between methods use None rather than False
# If token validation failed for any reason return None
if not response.ok:
return None
# Otherwise return the user object
return response.json()
def terminate_session(self, token):
"""Terminates the session token, effectively logging out the user
from all crowd-enabled services.
Args:
token: The session token.
Returns:
True: If session terminated
None: If session termination failed
"""
url = self.rest_url + "/session/%s" % token
response = self._delete(url)
# For consistency between methods use None rather than False
# If token validation failed for any reason return None
if not response.ok:
return None
# Otherwise return True
return True
def get_cookie_conf(self):
"""Retrieve cookie configuration
Returns:
dict: conf information
None: if failure occurred
"""
response = self._get(self.rest_url + "/config/cookie")
if not response.ok:
return None
return response.json()
def add_user(self, username, raise_on_error=False, **kwargs):
"""Add a user to the directory
Args:
username: The account username
raise_on_error: optional (default: False)
**kwargs: key-value pairs:
password: mandatory
email: mandatory
first_name: optional
last_name: optional
display_name: optional
active: optional (default True)
Returns:
True: Succeeded
False: If unsuccessful
"""
# Check that mandatory elements have been provided
if 'password' not in kwargs:
raise ValueError("missing password")
if 'email' not in kwargs:
raise ValueError("missing email")
# Populate data with default and mandatory values.
# A KeyError means a mandatory value was not provided,
# so raise a ValueError indicating bad args.
try:
data = {
"name": username,
"first-name": username,
"last-name": username,
"display-name": username,
"email": kwargs["email"],
"password": {"value": kwargs["password"]},
"active": True
}
except KeyError:
return ValueError
# Remove special case 'password'
del(kwargs["password"])
# Put values from kwargs into data
for k, v in kwargs.items():
new_k = k.replace("_", "-")
if new_k not in data:
raise ValueError("invalid argument %s" % k)
data[new_k] = v
response = self._post(self.rest_url + "/user",
data=json.dumps(data))
if response.status_code == 201:
return True
if raise_on_error:
raise RuntimeError(response.json()['message'])
return False
def get_user(self, username):
"""Retrieve information about a user
Returns:
dict: User information
None: If no user or failure occurred
"""
response = self._get(self.rest_url + "/user",
params={"username": username,
"expand": "attributes"})
if not response.ok:
return None
return response.json()
def set_active(self, username, active_state):
"""Set the active state of a user
Args:
username: The account username
active_state: True or False
Returns:
True: If successful
None: If no user or failure occurred
"""
if active_state not in (True, False):
raise ValueError("active_state must be True or False")
user = self.get_user(username)
if user is None:
return None
if user['active'] is active_state:
# Already in desired state
return True
user['active'] = active_state
response = self._put(self.rest_url + "/user",
params={"username": username},
data=json.dumps(user))
if response.status_code == 204:
return True
return None
def set_user_attribute(self, username, attribute, value, raise_on_error=False):
"""Set an attribute on a user
:param username: The username on which to set the attribute
:param attribute: The name of the attribute to set
:param value: The value of the attribute to set
:return: True on success, False on failure.
"""
data = {
'attributes': [
{
'name': attribute,
'values': [
value
]
},
]
}
response = self._post(self.rest_url + "/user/attribute",
params={"username": username,},
data=json.dumps(data))
if response.status_code == 204:
return True
if raise_on_error:
raise RuntimeError(response.json()['message'])
return False
def create_group(self, name, description='', raise_on_error=False):
"""Create a new group with the <name>.
Args:
name (str): the group name of a new group
Returns:
None: if succeeded
error msg (str): If unsuccessful
"""
data = {
"name": name,
"description": description,
"type": "GROUP",
"active": True
}
response = self._post(self.rest_url + "/group", data=json.dumps(data))
if response.status_code == 201:
return
if raise_on_error:
raise RuntimeError(response.json()['message'])
return response.json()['message']
def remove_group(self, name, raise_on_error=False):
"""Remove a group with the <name>.
Args:
name (str): the group name of a removed group
Returns:
None: If succeeded
error msg (str): If unsuccessful
"""
data = {
"groupname": name
}
response = self._delete(self.rest_url + "/group", params=data)
if response.status_code == 204:
return
if raise_on_error:
raise RuntimeError(response.json()['message'])
return response.json()['message']
def update_group(self, name, data, raise_on_error=False):
"""Update a group with the <name>.
Args:
name (str): the group name of a removed group
data (dict): new group attrs
Returns:
None: if succeeded
error msg (str): If unsuccessful
"""
params = {
'groupname': name
}
data["name"] = name
data["type"] = "GROUP"
response = self._put(
self.rest_url + "/group", params=params, data=json.dumps(data)
)
if response.status_code == 200:
return
if raise_on_error:
raise RuntimeError(response.json()['message'])
return response.json()['message']
def add_child_group(self, name, parent, raise_on_error=False):
"""Add a child group with the <name> to <parent> group.
Args:
name (str): the name of a child group
parent (str): the name of a parent group
Returns:
None: if succeeded
error msg (str): If unsuccessful
"""
params = {
'groupname': parent
}
data = {
"name": name
}
response = self._post(
self.rest_url + "/group/child-group/direct",
data=json.dumps(data),
params=params
)
if response.status_code == 201:
return
if raise_on_error:
raise RuntimeError(response.json()['message'])
return response.json()['message']
def remove_child_group(self, name, parent, raise_on_error=False):
"""Add a child group with the <name> to <parent> group.
Args:
name (str): the name of a child group
parent (str): the name of a parent group
Returns:
None: if succeeded
error msg (str): If unsuccessful
"""
params = {
'groupname': parent,
'child-groupname': name
}
response = self._delete(
self.rest_url + "/group/child-group/direct",
params=params
)
if response.status_code == 204:
return
if raise_on_error:
raise RuntimeError(response.json()['message'])
return response.json()['message']
def add_user_to_group(self, username, groupname, raise_on_error=False):
"""Add a user to a group
:param username: The username to assign to the group
:param groupname: The group name into which to assign the user
:return: True on success, False on failure.
"""
data = {
'name': groupname,
}
response = self._post(self.rest_url + "/user/group/direct",
params={"username": username,},
data=json.dumps(data))
if response.status_code == 201:
return True
if raise_on_error:
raise RuntimeError(response.json()['message'])
return False
def remove_user_from_group(self, username, groupname, raise_on_error=False):
"""Remove a user from a group
Attempts to remove a user from a group
Args:
username: The username to remove from the group.
groupname: The group name to be removed from the user.
Returns:
True: Succeeded
False: If unsuccessful
"""
response = self._delete(
self.rest_url + "/group/user/direct",
params={
"username": username,
"groupname": groupname
}
)
if response.status_code == 204:
return True
if raise_on_error:
raise RuntimeError(response.json()['message'])
return False
def change_password(self, username, newpassword, raise_on_error=False):
"""Change new password for a user
Args:
username: The account username.
newpassword: The account new password.
raise_on_error: optional (default: False)
Returns:
True: Succeeded
False: If unsuccessful
"""
response = self._put(self.rest_url + "/user/password",
data=json.dumps({"value": newpassword}),
params={"username": username})
if response.ok:
return True
if raise_on_error:
raise RuntimeError(response.json()['message'])
return False
def send_password_reset_link(self, username):
"""Sends the user a password reset link (by email)
Args:
username: The account username.
Returns:
True: Succeeded
False: If unsuccessful
"""
response = self._post(self.rest_url + "/user/mail/password",
params={"username": username})
if response.ok:
return True
return False
def get_groups(self, username):
"""Retrieves a list of group names that have <username> as a direct member.
Returns:
list:
A list of strings of group names.
"""
response = self._get(self.rest_url + "/user/group/direct",
params={"username": username})
if not response.ok:
return None
return [g['name'] for g in response.json()['groups']]
def get_nested_groups(self, username):
"""Retrieve a list of all group names that have <username> as a direct
or indirect member.
Args:
username: The account username.
Returns:
list:
A list of strings of group names.
"""
response = self._get(self.rest_url + "/user/group/nested",
params={"username": username})
if not response.ok:
return None
return [g['name'] for g in response.json()['groups']]
def get_nested_group_users(self, groupname):
"""Retrieves a list of all users that directly or indirectly belong to
the given groupname.
Args:
groupname: The group name.
Returns:
list:
A list of strings of user names.
"""
response = self._get(self.rest_url + "/group/user/nested",
params={"groupname": groupname,
"start-index": 0,
"max-results": 99999})
if not response.ok:
return None
return [u['name'] for u in response.json()['users']]
def user_exists(self, username):
"""Determines if the user exists.
Args:
username: The user name.
Returns:
bool:
True if the user exists in the Crowd application.
"""
response = self._get(self.rest_url + "/user",
params={"username": username})
if not response.ok:
return None
return True
def get_memberships(self):
"""Fetches all group memberships.
Returns:
dict:
key: group name
value: (array of users, array of groups)
"""
response = self._get_xml(self.rest_url + "/group/membership")
if not response.ok:
return None
xmltree = etree.fromstring(response.content)
memberships = {}
for mg in xmltree.findall('membership'):
# coerce values to unicode in a python 2 and 3 compatible way
group = u'{}'.format(mg.get('group'))
users = [u'{}'.format(u.get('name')) for u in mg.find('users').findall('user')]
groups = [u'{}'.format(g.get('name')) for g in mg.find('groups').findall('group')]
memberships[group] = {u'users': users, u'groups': groups}
return memberships
def search(self, entity_type, property_name, search_string, start_index=0, max_results=99999):
"""Performs a user search using the Crowd search API.
https://developer.atlassian.com/display/CROWDDEV/Crowd+REST+Resources#CrowdRESTResources-SearchResource
Args:
entity_type: 'user' or 'group'
property_name: eg. 'email', 'name'
search_string: the string to search for.
start_index: starting index of the results (default: 0)
max_results: maximum number of results returned (default: 99999)
Returns:
json results:
Returns search results.
"""
params = {
"entity-type": entity_type,
"expand": entity_type,
"property-search-restriction": {
"property": {"name": property_name, "type": "STRING"},
"match-mode": "CONTAINS",
"value": search_string,
}
}
params = {
'entity-type': entity_type,
'expand': entity_type,
'start-index': start_index,
'max-results': max_results
}
# Construct XML payload of the form:
# <property-search-restriction>
# <property>
# <name>email</name>
# <type>STRING</type>
# </property>
# <match-mode>EXACTLY_MATCHES</match-mode>
# <value>bob@example.net</value>
# </property-search-restriction>
root = etree.Element('property-search-restriction')
property_ = etree.Element('property')
prop_name = etree.Element('name')
prop_name.text = property_name
property_.append(prop_name)
prop_type = etree.Element('type')
prop_type.text = 'STRING'
property_.append(prop_type)
root.append(property_)
match_mode = etree.Element('match-mode')
match_mode.text = 'CONTAINS'
root.append(match_mode)
value = etree.Element('value')
value.text = search_string
root.append(value)
# Construct the XML payload expected by search API
payload = '<?xml version="1.0" encoding="UTF-8"?>\n' + etree.tostring(root).decode('utf-8')
# We're sending XML but would like a JSON response
session = self._build_session(content_type='xml')
session.headers.update({'Accept': 'application/json'})
response = session.post(self.rest_url + "/search", params=params, data=payload, timeout=self.timeout)
if not response.ok:
return None
return response.json() | PypiClean |
/HelioSat-0.6.2-py3-none-any.whl/heliosat/spacecraft.py | import concurrent.futures
import datetime
import heliosat
import logging
import multiprocessing
import numpy as np
import spiceypy
from .caching import cache_add_entry, cache_entry_exists, cache_generate_key, cache_get_entry
from .datafile import DataFile
from .smoothing import smooth_data
from .util import dt_utc, dt_utc_from_ts, sanitize_dt
from typing import Any, List, Optional, Sequence, Tuple, Union
class Body(object):
"""Body class.
"""
name: str
name_naif: str
def __init__(self, name: str, name_naif: str, kernel_group: Optional[str] = None, **kwargs: Any) -> None:
self.name = name
self.name_naif = name_naif
if "default" not in heliosat._skm.group_list:
heliosat._skm.load_group("default")
if kernel_group:
heliosat._skm.load_group(kernel_group, **kwargs)
def trajectory(self, dt: Union[datetime.datetime, Sequence[datetime.datetime]],
reference_frame: str = "J2000", observer: str = "SUN", units: str = "AU") -> np.ndarray:
logger = logging.getLogger(__name__)
dt = sanitize_dt(dt)
traj = np.array(
spiceypy.spkpos(
self.name_naif,
spiceypy.datetime2et(dt),
reference_frame,
"NONE",
observer
)[0]
)
if units == "AU":
traj *= 6.68459e-9
elif units == "m":
traj *= 1e3
elif units == "km":
pass
else:
logger.exception("unit \"%s\" is not supported", units)
raise ValueError("unit \"{0!s}\" is not supported".format(units))
return traj
class Spacecraft(Body):
"""Spacecraft class.
"""
name: str
name_naif: str
kernel_group: str
_json: dict
data_file_class = DataFile
def __init__(self, **kwargs: Any) -> None:
logger = logging.getLogger(__name__)
super(Spacecraft, self).__init__(self.name, self.name_naif, self.kernel_group, **kwargs)
# legacy support
self.get_data = self.get
def get(self, dt: Union[str, datetime.datetime, Sequence[str], Sequence[datetime.datetime]], data_key: str, **kwargs: Any) -> Tuple[np.ndarray, np.ndarray]:
logger = logging.getLogger(__name__)
data_key = self.data_key_resolve(data_key)
if isinstance(dt, datetime.datetime):
dt = [dt]
dt = sanitize_dt(dt) # type: ignore
# caching identifier
identifiers = {
"data_key": data_key,
"spacecraft": self.name,
"times": [_t.timestamp() for _t in dt], # type: ignore
"version": heliosat.__version__,
**kwargs
}
# extract relevant kwargs
remove_nans = kwargs.pop("remove_nans", False)
return_datetimes = kwargs.pop("return_datetimes", False)
sampling_freq = kwargs.pop("sampling_freq", 60)
smoothing_kwargs = {"smoothing": kwargs.pop("smoothing", "closest")}
# get additional smoothing args
for key in dict(kwargs):
if "smoothing" in key:
smoothing_kwargs[key] = kwargs.pop(key)
use_cache = kwargs.pop("use_cache", False)
if use_cache:
cache_key = cache_generate_key(identifiers)
if cache_entry_exists(cache_key):
dt_r, dk_r = cache_get_entry(cache_key)
return dt_r, dk_r
else:
logger.info("cache entry \"%s\" not found", cache_key)
# use dt list as endpoints
if kwargs.pop("as_endpoints", False):
if len(dt) < 2: # type: ignore
logger.exception("datetime list must be of length larger of 2 to use endpoints")
raise ValueError("datetime list must be of length larger of 2 to use endpoints")
_ = np.linspace(dt[0].timestamp(), dt[-1].timestamp(), int((dt[-1].timestamp() - dt[0].timestamp()) // sampling_freq)) # type: ignore
dt = [datetime.datetime.fromtimestamp(_, datetime.timezone.utc) for _ in _]
dt_r, dk_r = self._get_data(dt[0], dt[-1], data_key, **kwargs) # type: ignore
if smoothing_kwargs["smoothing"]:
dt_r, dk_r = smooth_data(dt, dt_r, dk_r, **smoothing_kwargs) # type: ignore
if return_datetimes:
_dt = list(dt_r)
for i in range(len(_dt)):
if _dt[i] != np.nan:
_dt[i] = dt_utc_from_ts(dt_r[i])
dt_r = np.array(_dt)
if remove_nans:
nanfilter = np.invert(np.any(np.isnan(dk_r[:, :]), axis=1))
dt_r = dt_r[nanfilter]
dk_r = dk_r[nanfilter]
if use_cache:
logger.info("generating cache entry \"%s\"", cache_key)
cache_add_entry(cache_key, (dt_r, dk_r))
return dt_r, dk_r
def _get_data(self, dt_start: datetime.datetime, dt_end: datetime.datetime, data_key: str, **kwargs: Any) -> Tuple[np.ndarray, np.ndarray]:
logger = logging.getLogger(__name__)
data_key = self.data_key_resolve(data_key)
dt_start = sanitize_dt(dt_start) # type: ignore
dt_end = sanitize_dt(dt_end) # type: ignore
if dt_start > dt_end:
logger.exception("starting date must be before final date")
raise ValueError("starting date must be before final date")
force_download = kwargs.get("force_download", False)
# get necessary files
files = self._get_files(dt_start, dt_end, data_key, force_download=force_download)
logger.info("using %s files to generate "
"data in between %s - %s", len(files), dt_start, dt_end)
columns = kwargs.get("columns", ["~"])
columns.extend(kwargs.get("extra_columns", []))
frame = kwargs.get("frame", kwargs.get("reference_frame", None))
max_workers = min([multiprocessing.cpu_count(), len(files)])
with concurrent.futures.ProcessPoolExecutor(max_workers=max_workers) as executor:
futures = [executor.submit(file.read, dt_start, dt_end, data_key, columns, frame) for file in files]
result = [_ for _ in [future.result() for future in futures] if _]
dt_r = np.concatenate([_[0] for _ in result])
dk_r = np.concatenate([_[1] for _ in result])
return dt_r, dk_r
def _get_files(self, dt_start: datetime.datetime, dt_end: datetime.datetime, data_key: str, force_download: bool = False) -> List[DataFile]:
logger = logging.getLogger(__name__)
# adjust ranges slightly
if (dt_end - dt_start).days > 1:
dt_start -= datetime.timedelta(hours=dt_start.hour, minutes=dt_start.minute,
seconds=dt_start.second)
if dt_end.hour == 0 and dt_end.minute == 0 and dt_end.second == 0:
dt_end -= datetime.timedelta(seconds=1)
files = []
# prepare urls
for day in [dt_start + datetime.timedelta(days=i) for i in range((dt_end - dt_start).days + 1)]:
base_urls = []
for url in self._json["keys"][data_key]["base_urls"]:
url = url.replace("{YYYY}", str(day.year))
url = url.replace("{YY}", "{0:02d}".format(day.year % 100))
url = url.replace("{MM}", "{:02d}".format(day.month))
url = url.replace("{MONTH}", day.strftime("%B")[:3].upper())
url = url.replace("{DD}", "{:02d}".format(day.day))
url = url.replace("{DOY}", "{:03d}".format(day.timetuple().tm_yday))
doym1 = dt_utc(day.year, day.month, 1)
if day.month == 12:
doym2 = dt_utc(day.year + 1, 1, 1) - datetime.timedelta(days=1)
else:
doym2 = dt_utc(day.year, day.month + 1, 1) - datetime.timedelta(days=1)
url = url.replace("{DOYM1}", "{:03d}".format(doym1.timetuple().tm_yday))
url = url.replace("{DOYM2}", "{:03d}".format(doym2.timetuple().tm_yday))
base_urls.append(url)
filename = self._json["keys"][data_key].get("filename", None)
if filename:
filename = filename.replace("{YYYY}", str(day.year))
filename = filename.replace("{YY}", "{0:02d}".format(day.year % 100))
filename = filename.replace("{MM}", "{:02d}".format(day.month))
filename = filename.replace("{MONTH}", day.strftime("%B")[:3].upper())
filename = filename.replace("{DD}", "{:02d}".format(day.day))
filename = filename.replace("{DOY}", "{:03d}".format(day.timetuple().tm_yday))
doym1 = dt_utc(day.year, day.month, 1)
if day.month == 12:
doym2 = dt_utc(day.year + 1, 1, 1) - datetime.timedelta(days=1)
else:
doym2 = dt_utc(day.year, day.month + 1, 1) - datetime.timedelta(days=1)
filename = filename.replace("{DOYM1}", "{:03d}".format(doym1.timetuple().tm_yday))
filename = filename.replace("{DOYM2}", "{:03d}".format(doym2.timetuple().tm_yday))
files.append(self.data_file_class(base_urls, filename, data_key, self._json))
with concurrent.futures.ThreadPoolExecutor(max_workers=25) as executor:
futures = [executor.submit(file.prepare, force_download) for file in files]
for future in concurrent.futures.as_completed(futures):
_ = future.result()
for file in list(files):
if not file.ready:
files.remove(file)
return files
@property
def data_keys(self) -> List[str]:
return list(self._json["keys"].keys())
def data_key_resolve(self, data_key: str) -> str:
logger = logging.getLogger(__name__)
if data_key not in self._json["keys"]:
resolved = False
for key in self._json["keys"]:
if data_key in self._json["keys"][key].get("alt_keys", []):
data_key = key
resolved = True
break
if not resolved:
logger.exception("data_key \"%s\" not found", data_key)
raise KeyError("data_key \"{0!s}\" not found".format(data_key))
return data_key | PypiClean |
/Kloudio-1.0.0.tar.gz/Kloudio-1.0.0/kloudio/models/report_del_response.py | import pprint
import re # noqa: F401
import six
from kloudio.configuration import Configuration
class ReportDelResponse(object):
"""
"""
"""
Attributes:
openapi_types (dict): The key is attribute name
and the value is attribute type.
attribute_map (dict): The key is attribute name
and the value is json key in definition.
"""
openapi_types = {
'object': 'str',
'id': 'str',
'deleted': 'bool'
}
attribute_map = {
'object': 'object',
'id': 'id',
'deleted': 'deleted'
}
def __init__(self, object=None, id=None, deleted=None, local_vars_configuration=None): # noqa: E501
"""ReportDelResponse - a model defined in OpenAPI""" # noqa: E501
if local_vars_configuration is None:
local_vars_configuration = Configuration()
self.local_vars_configuration = local_vars_configuration
self._object = None
self._id = None
self._deleted = None
self.discriminator = None
self.object = object
self.id = id
self.deleted = deleted
@property
def object(self):
"""Gets the object of this ReportDelResponse. # noqa: E501
:return: The object of this ReportDelResponse. # noqa: E501
:rtype: str
"""
return self._object
@object.setter
def object(self, object):
"""Sets the object of this ReportDelResponse.
:param object: The object of this ReportDelResponse. # noqa: E501
:type object: str
"""
if self.local_vars_configuration.client_side_validation and object is None: # noqa: E501
raise ValueError("Invalid value for `object`, must not be `None`") # noqa: E501
self._object = object
@property
def id(self):
"""Gets the id of this ReportDelResponse. # noqa: E501
:return: The id of this ReportDelResponse. # noqa: E501
:rtype: str
"""
return self._id
@id.setter
def id(self, id):
"""Sets the id of this ReportDelResponse.
:param id: The id of this ReportDelResponse. # noqa: E501
:type id: str
"""
if self.local_vars_configuration.client_side_validation and id is None: # noqa: E501
raise ValueError("Invalid value for `id`, must not be `None`") # noqa: E501
self._id = id
@property
def deleted(self):
"""Gets the deleted of this ReportDelResponse. # noqa: E501
:return: The deleted of this ReportDelResponse. # noqa: E501
:rtype: bool
"""
return self._deleted
@deleted.setter
def deleted(self, deleted):
"""Sets the deleted of this ReportDelResponse.
:param deleted: The deleted of this ReportDelResponse. # noqa: E501
:type deleted: bool
"""
if self.local_vars_configuration.client_side_validation and deleted is None: # noqa: E501
raise ValueError("Invalid value for `deleted`, must not be `None`") # noqa: E501
self._deleted = deleted
def to_dict(self):
"""Returns the model properties as a dict"""
result = {}
for attr, _ in six.iteritems(self.openapi_types):
value = getattr(self, attr)
if isinstance(value, list):
result[attr] = list(map(
lambda x: x.to_dict() if hasattr(x, "to_dict") else x,
value
))
elif hasattr(value, "to_dict"):
result[attr] = value.to_dict()
elif isinstance(value, dict):
result[attr] = dict(map(
lambda item: (item[0], item[1].to_dict())
if hasattr(item[1], "to_dict") else item,
value.items()
))
else:
result[attr] = value
return result
def to_str(self):
"""Returns the string representation of the model"""
return pprint.pformat(self.to_dict())
def __repr__(self):
"""For `print` and `pprint`"""
return self.to_str()
def __eq__(self, other):
"""Returns true if both objects are equal"""
if not isinstance(other, ReportDelResponse):
return False
return self.to_dict() == other.to_dict()
def __ne__(self, other):
"""Returns true if both objects are not equal"""
if not isinstance(other, ReportDelResponse):
return True
return self.to_dict() != other.to_dict() | PypiClean |
/Nuitka-1.8.tar.gz/Nuitka-1.8/nuitka/build/inline_copy/lib/scons-4.3.0/SCons/Environment.py | import copy
import os
import sys
import re
import shlex
from collections import UserDict
import SCons.Action
import SCons.Builder
import SCons.Debug
from SCons.Debug import logInstanceCreation
import SCons.Defaults
from SCons.Errors import UserError, BuildError
import SCons.Memoize
import SCons.Node
import SCons.Node.Alias
import SCons.Node.FS
import SCons.Node.Python
import SCons.Platform
import SCons.SConf
import SCons.SConsign
import SCons.Subst
import SCons.Tool
import SCons.Warnings
from SCons.Util import (
AppendPath,
CLVar,
LogicalLines,
MethodWrapper,
PrependPath,
Split,
WhereIs,
flatten,
is_Dict,
is_List,
is_Sequence,
is_String,
is_Tuple,
semi_deepcopy,
semi_deepcopy_dict,
to_String_for_subst,
uniquer_hashables,
)
class _Null:
pass
_null = _Null
_warn_copy_deprecated = True
_warn_source_signatures_deprecated = True
_warn_target_signatures_deprecated = True
CleanTargets = {}
CalculatorArgs = {}
def alias_builder(env, target, source):
pass
AliasBuilder = SCons.Builder.Builder(
action=alias_builder,
target_factory=SCons.Node.Alias.default_ans.Alias,
source_factory=SCons.Node.FS.Entry,
multi=True,
is_explicit=None,
name='AliasBuilder',
)
def apply_tools(env, tools, toolpath):
# Store the toolpath in the Environment.
# This is expected to work even if no tools are given, so do this first.
if toolpath is not None:
env['toolpath'] = toolpath
if not tools:
return
# Filter out null tools from the list.
for tool in [_f for _f in tools if _f]:
if is_List(tool) or is_Tuple(tool):
# toolargs should be a dict of kw args
toolname, toolargs, *rest = tool
_ = env.Tool(toolname, **toolargs)
else:
_ = env.Tool(tool)
# These names are (or will be) controlled by SCons; users should never
# set or override them. The warning can optionally be turned off,
# but scons will still ignore the illegal variable names even if it's off.
reserved_construction_var_names = [
'CHANGED_SOURCES',
'CHANGED_TARGETS',
'SOURCE',
'SOURCES',
'TARGET',
'TARGETS',
'UNCHANGED_SOURCES',
'UNCHANGED_TARGETS',
]
future_reserved_construction_var_names = [
#'HOST_OS',
#'HOST_ARCH',
#'HOST_CPU',
]
def copy_non_reserved_keywords(dict):
result = semi_deepcopy(dict)
for k in result.copy().keys():
if k in reserved_construction_var_names:
msg = "Ignoring attempt to set reserved variable `$%s'"
SCons.Warnings.warn(SCons.Warnings.ReservedVariableWarning, msg % k)
del result[k]
return result
def _set_reserved(env, key, value):
msg = "Ignoring attempt to set reserved variable `$%s'"
SCons.Warnings.warn(SCons.Warnings.ReservedVariableWarning, msg % key)
def _set_future_reserved(env, key, value):
env._dict[key] = value
msg = "`$%s' will be reserved in a future release and setting it will become ignored"
SCons.Warnings.warn(SCons.Warnings.FutureReservedVariableWarning, msg % key)
def _set_BUILDERS(env, key, value):
try:
bd = env._dict[key]
for k in bd.copy().keys():
del bd[k]
except KeyError:
bd = BuilderDict(bd, env)
env._dict[key] = bd
for k, v in value.items():
if not SCons.Builder.is_a_Builder(v):
raise UserError('%s is not a Builder.' % repr(v))
bd.update(value)
def _del_SCANNERS(env, key):
del env._dict[key]
env.scanner_map_delete()
def _set_SCANNERS(env, key, value):
env._dict[key] = value
env.scanner_map_delete()
def _delete_duplicates(l, keep_last):
"""Delete duplicates from a sequence, keeping the first or last."""
seen=set()
result=[]
if keep_last: # reverse in & out, then keep first
l.reverse()
for i in l:
try:
if i not in seen:
result.append(i)
seen.add(i)
except TypeError:
# probably unhashable. Just keep it.
result.append(i)
if keep_last:
result.reverse()
return result
# The following is partly based on code in a comment added by Peter
# Shannon at the following page (there called the "transplant" class):
#
# ASPN : Python Cookbook : Dynamically added methods to a class
# https://code.activestate.com/recipes/81732/
#
# We had independently been using the idiom as BuilderWrapper, but
# factoring out the common parts into this base class, and making
# BuilderWrapper a subclass that overrides __call__() to enforce specific
# Builder calling conventions, simplified some of our higher-layer code.
#
# Note: MethodWrapper moved to SCons.Util as it was needed there
# and otherwise we had a circular import problem.
class BuilderWrapper(MethodWrapper):
"""
A MethodWrapper subclass that that associates an environment with
a Builder.
This mainly exists to wrap the __call__() function so that all calls
to Builders can have their argument lists massaged in the same way
(treat a lone argument as the source, treat two arguments as target
then source, make sure both target and source are lists) without
having to have cut-and-paste code to do it.
As a bit of obsessive backwards compatibility, we also intercept
attempts to get or set the "env" or "builder" attributes, which were
the names we used before we put the common functionality into the
MethodWrapper base class. We'll keep this around for a while in case
people shipped Tool modules that reached into the wrapper (like the
Tool/qt.py module does, or did). There shouldn't be a lot attribute
fetching or setting on these, so a little extra work shouldn't hurt.
"""
def __call__(self, target=None, source=_null, *args, **kw):
if source is _null:
source = target
target = None
if target is not None and not is_List(target):
target = [target]
if source is not None and not is_List(source):
source = [source]
return super().__call__(target, source, *args, **kw)
def __repr__(self):
return '<BuilderWrapper %s>' % repr(self.name)
def __str__(self):
return self.__repr__()
def __getattr__(self, name):
if name == 'env':
return self.object
elif name == 'builder':
return self.method
else:
raise AttributeError(name)
def __setattr__(self, name, value):
if name == 'env':
self.object = value
elif name == 'builder':
self.method = value
else:
self.__dict__[name] = value
# This allows a Builder to be executed directly
# through the Environment to which it's attached.
# In practice, we shouldn't need this, because
# builders actually get executed through a Node.
# But we do have a unit test for this, and can't
# yet rule out that it would be useful in the
# future, so leave it for now.
#def execute(self, **kw):
# kw['env'] = self.env
# self.builder.execute(**kw)
class BuilderDict(UserDict):
"""This is a dictionary-like class used by an Environment to hold
the Builders. We need to do this because every time someone changes
the Builders in the Environment's BUILDERS dictionary, we must
update the Environment's attributes."""
def __init__(self, dict, env):
# Set self.env before calling the superclass initialization,
# because it will end up calling our other methods, which will
# need to point the values in this dictionary to self.env.
self.env = env
UserDict.__init__(self, dict)
def __semi_deepcopy__(self):
# These cannot be copied since they would both modify the same builder object, and indeed
# just copying would modify the original builder
raise TypeError( 'cannot semi_deepcopy a BuilderDict' )
def __setitem__(self, item, val):
try:
method = getattr(self.env, item).method
except AttributeError:
pass
else:
self.env.RemoveMethod(method)
UserDict.__setitem__(self, item, val)
BuilderWrapper(self.env, val, item)
def __delitem__(self, item):
UserDict.__delitem__(self, item)
delattr(self.env, item)
def update(self, dict):
for i, v in dict.items():
self.__setitem__(i, v)
_is_valid_var = re.compile(r'[_a-zA-Z]\w*$')
def is_valid_construction_var(varstr):
"""Return if the specified string is a legitimate construction
variable.
"""
return _is_valid_var.match(varstr)
class SubstitutionEnvironment:
"""Base class for different flavors of construction environments.
This class contains a minimal set of methods that handle construction
variable expansion and conversion of strings to Nodes, which may or
may not be actually useful as a stand-alone class. Which methods
ended up in this class is pretty arbitrary right now. They're
basically the ones which we've empirically determined are common to
the different construction environment subclasses, and most of the
others that use or touch the underlying dictionary of construction
variables.
Eventually, this class should contain all the methods that we
determine are necessary for a "minimal" interface to the build engine.
A full "native Python" SCons environment has gotten pretty heavyweight
with all of the methods and Tools and construction variables we've
jammed in there, so it would be nice to have a lighter weight
alternative for interfaces that don't need all of the bells and
whistles. (At some point, we'll also probably rename this class
"Base," since that more reflects what we want this class to become,
but because we've released comments that tell people to subclass
Environment.Base to create their own flavors of construction
environment, we'll save that for a future refactoring when this
class actually becomes useful.)
"""
def __init__(self, **kw):
"""Initialization of an underlying SubstitutionEnvironment class.
"""
if SCons.Debug.track_instances: logInstanceCreation(self, 'Environment.SubstitutionEnvironment')
self.fs = SCons.Node.FS.get_default_fs()
self.ans = SCons.Node.Alias.default_ans
self.lookup_list = SCons.Node.arg2nodes_lookups
self._dict = kw.copy()
self._init_special()
self.added_methods = []
#self._memo = {}
def _init_special(self):
"""Initial the dispatch tables for special handling of
special construction variables."""
self._special_del = {}
self._special_del['SCANNERS'] = _del_SCANNERS
self._special_set = {}
for key in reserved_construction_var_names:
self._special_set[key] = _set_reserved
for key in future_reserved_construction_var_names:
self._special_set[key] = _set_future_reserved
self._special_set['BUILDERS'] = _set_BUILDERS
self._special_set['SCANNERS'] = _set_SCANNERS
# Freeze the keys of self._special_set in a list for use by
# methods that need to check.
self._special_set_keys = list(self._special_set.keys())
def __eq__(self, other):
return self._dict == other._dict
def __delitem__(self, key):
special = self._special_del.get(key)
if special:
special(self, key)
else:
del self._dict[key]
def __getitem__(self, key):
return self._dict[key]
def __setitem__(self, key, value):
# This is heavily used. This implementation is the best we have
# according to the timings in bench/env.__setitem__.py.
#
# The "key in self._special_set_keys" test here seems to perform
# pretty well for the number of keys we have. A hard-coded
# list worked a little better in Python 2.5, but that has the
# disadvantage of maybe getting out of sync if we ever add more
# variable names.
# So right now it seems like a good trade-off, but feel free to
# revisit this with bench/env.__setitem__.py as needed (and
# as newer versions of Python come out).
if key in self._special_set_keys:
self._special_set[key](self, key, value)
else:
# If we already have the entry, then it's obviously a valid
# key and we don't need to check. If we do check, using a
# global, pre-compiled regular expression directly is more
# efficient than calling another function or a method.
if key not in self._dict and not _is_valid_var.match(key):
raise UserError("Illegal construction variable `%s'" % key)
self._dict[key] = value
def get(self, key, default=None):
"""Emulates the get() method of dictionaries."""
return self._dict.get(key, default)
def __contains__(self, key):
return key in self._dict
def keys(self):
"""Emulates the keys() method of dictionaries."""
return self._dict.keys()
def values(self):
"""Emulates the values() method of dictionaries."""
return self._dict.values()
def items(self):
"""Emulates the items() method of dictionaries."""
return self._dict.items()
def setdefault(self, key, default=None):
"""Emulates the setdefault() method of dictionaries."""
return self._dict.setdefault(key, default)
def arg2nodes(self, args, node_factory=_null, lookup_list=_null, **kw):
if node_factory is _null:
node_factory = self.fs.File
if lookup_list is _null:
lookup_list = self.lookup_list
if not args:
return []
args = flatten(args)
nodes = []
for v in args:
if is_String(v):
n = None
for l in lookup_list:
n = l(v)
if n is not None:
break
if n is not None:
if is_String(n):
# n = self.subst(n, raw=1, **kw)
kw['raw'] = 1
n = self.subst(n, **kw)
if node_factory:
n = node_factory(n)
if is_List(n):
nodes.extend(n)
else:
nodes.append(n)
elif node_factory:
# v = node_factory(self.subst(v, raw=1, **kw))
kw['raw'] = 1
v = node_factory(self.subst(v, **kw))
if is_List(v):
nodes.extend(v)
else:
nodes.append(v)
else:
nodes.append(v)
return nodes
def gvars(self):
return self._dict
def lvars(self):
return {}
def subst(self, string, raw=0, target=None, source=None, conv=None, executor=None):
"""Recursively interpolates construction variables from the
Environment into the specified string, returning the expanded
result. Construction variables are specified by a $ prefix
in the string and begin with an initial underscore or
alphabetic character followed by any number of underscores
or alphanumeric characters. The construction variable names
may be surrounded by curly braces to separate the name from
trailing characters.
"""
gvars = self.gvars()
lvars = self.lvars()
lvars['__env__'] = self
if executor:
lvars.update(executor.get_lvars())
return SCons.Subst.scons_subst(string, self, raw, target, source, gvars, lvars, conv)
def subst_kw(self, kw, raw=0, target=None, source=None):
nkw = {}
for k, v in kw.items():
k = self.subst(k, raw, target, source)
if is_String(v):
v = self.subst(v, raw, target, source)
nkw[k] = v
return nkw
def subst_list(self, string, raw=0, target=None, source=None, conv=None, executor=None):
"""Calls through to SCons.Subst.scons_subst_list(). See
the documentation for that function."""
gvars = self.gvars()
lvars = self.lvars()
lvars['__env__'] = self
if executor:
lvars.update(executor.get_lvars())
return SCons.Subst.scons_subst_list(string, self, raw, target, source, gvars, lvars, conv)
def subst_path(self, path, target=None, source=None):
"""Substitute a path list, turning EntryProxies into Nodes
and leaving Nodes (and other objects) as-is."""
if not is_List(path):
path = [path]
def s(obj):
"""This is the "string conversion" routine that we have our
substitutions use to return Nodes, not strings. This relies
on the fact that an EntryProxy object has a get() method that
returns the underlying Node that it wraps, which is a bit of
architectural dependence that we might need to break or modify
in the future in response to additional requirements."""
try:
get = obj.get
except AttributeError:
obj = to_String_for_subst(obj)
else:
obj = get()
return obj
r = []
for p in path:
if is_String(p):
p = self.subst(p, target=target, source=source, conv=s)
if is_List(p):
if len(p) == 1:
p = p[0]
else:
# We have an object plus a string, or multiple
# objects that we need to smush together. No choice
# but to make them into a string.
p = ''.join(map(to_String_for_subst, p))
else:
p = s(p)
r.append(p)
return r
subst_target_source = subst
def backtick(self, command):
import subprocess
# common arguments
kw = { 'stdin' : 'devnull',
'stdout' : subprocess.PIPE,
'stderr' : subprocess.PIPE,
'universal_newlines' : True,
}
# if the command is a list, assume it's been quoted
# othewise force a shell
if not is_List(command): kw['shell'] = True
# run constructed command
p = SCons.Action._subproc(self, command, **kw)
out,err = p.communicate()
status = p.wait()
if err:
sys.stderr.write("" + err)
if status:
raise OSError("'%s' exited %d" % (command, status))
return out
def AddMethod(self, function, name=None):
"""
Adds the specified function as a method of this construction
environment with the specified name. If the name is omitted,
the default name is the name of the function itself.
"""
method = MethodWrapper(self, function, name)
self.added_methods.append(method)
def RemoveMethod(self, function):
"""
Removes the specified function's MethodWrapper from the
added_methods list, so we don't re-bind it when making a clone.
"""
self.added_methods = [dm for dm in self.added_methods if dm.method is not function]
def Override(self, overrides):
"""
Produce a modified environment whose variables are overridden by
the overrides dictionaries. "overrides" is a dictionary that
will override the variables of this environment.
This function is much more efficient than Clone() or creating
a new Environment because it doesn't copy the construction
environment dictionary, it just wraps the underlying construction
environment, and doesn't even create a wrapper object if there
are no overrides.
"""
if not overrides: return self
o = copy_non_reserved_keywords(overrides)
if not o: return self
overrides = {}
merges = None
for key, value in o.items():
if key == 'parse_flags':
merges = value
else:
overrides[key] = SCons.Subst.scons_subst_once(value, self, key)
env = OverrideEnvironment(self, overrides)
if merges:
env.MergeFlags(merges)
return env
def ParseFlags(self, *flags):
"""Return a dict of parsed flags.
Parse ``flags`` and return a dict with the flags distributed into
the appropriate construction variable names. The flags are treated
as a typical set of command-line flags for a GNU-like toolchain,
such as might have been generated by one of the {foo}-config scripts,
and used to populate the entries based on knowledge embedded in
this method - the choices are not expected to be portable to other
toolchains.
If one of the ``flags`` strings begins with a bang (exclamation mark),
it is assumed to be a command and the rest of the string is executed;
the result of that evaluation is then added to the dict.
"""
dict = {
'ASFLAGS' : CLVar(''),
'CFLAGS' : CLVar(''),
'CCFLAGS' : CLVar(''),
'CXXFLAGS' : CLVar(''),
'CPPDEFINES' : [],
'CPPFLAGS' : CLVar(''),
'CPPPATH' : [],
'FRAMEWORKPATH' : CLVar(''),
'FRAMEWORKS' : CLVar(''),
'LIBPATH' : [],
'LIBS' : [],
'LINKFLAGS' : CLVar(''),
'RPATH' : [],
}
def do_parse(arg):
# if arg is a sequence, recurse with each element
if not arg:
return
if not is_String(arg):
for t in arg: do_parse(t)
return
# if arg is a command, execute it
if arg[0] == '!':
arg = self.backtick(arg[1:])
# utility function to deal with -D option
def append_define(name, dict = dict):
t = name.split('=')
if len(t) == 1:
dict['CPPDEFINES'].append(name)
else:
dict['CPPDEFINES'].append([t[0], '='.join(t[1:])])
# Loop through the flags and add them to the appropriate option.
# This tries to strike a balance between checking for all possible
# flags and keeping the logic to a finite size, so it doesn't
# check for some that don't occur often. It particular, if the
# flag is not known to occur in a config script and there's a way
# of passing the flag to the right place (by wrapping it in a -W
# flag, for example) we don't check for it. Note that most
# preprocessor options are not handled, since unhandled options
# are placed in CCFLAGS, so unless the preprocessor is invoked
# separately, these flags will still get to the preprocessor.
# Other options not currently handled:
# -iqoutedir (preprocessor search path)
# -u symbol (linker undefined symbol)
# -s (linker strip files)
# -static* (linker static binding)
# -shared* (linker dynamic binding)
# -symbolic (linker global binding)
# -R dir (deprecated linker rpath)
# IBM compilers may also accept -qframeworkdir=foo
params = shlex.split(arg)
append_next_arg_to = None # for multi-word args
for arg in params:
if append_next_arg_to:
if append_next_arg_to == 'CPPDEFINES':
append_define(arg)
elif append_next_arg_to == '-include':
t = ('-include', self.fs.File(arg))
dict['CCFLAGS'].append(t)
elif append_next_arg_to == '-imacros':
t = ('-imacros', self.fs.File(arg))
dict['CCFLAGS'].append(t)
elif append_next_arg_to == '-isysroot':
t = ('-isysroot', arg)
dict['CCFLAGS'].append(t)
dict['LINKFLAGS'].append(t)
elif append_next_arg_to == '-isystem':
t = ('-isystem', arg)
dict['CCFLAGS'].append(t)
elif append_next_arg_to == '-iquote':
t = ('-iquote', arg)
dict['CCFLAGS'].append(t)
elif append_next_arg_to == '-idirafter':
t = ('-idirafter', arg)
dict['CCFLAGS'].append(t)
elif append_next_arg_to == '-arch':
t = ('-arch', arg)
dict['CCFLAGS'].append(t)
dict['LINKFLAGS'].append(t)
elif append_next_arg_to == '--param':
t = ('--param', arg)
dict['CCFLAGS'].append(t)
else:
dict[append_next_arg_to].append(arg)
append_next_arg_to = None
elif not arg[0] in ['-', '+']:
dict['LIBS'].append(self.fs.File(arg))
elif arg == '-dylib_file':
dict['LINKFLAGS'].append(arg)
append_next_arg_to = 'LINKFLAGS'
elif arg[:2] == '-L':
if arg[2:]:
dict['LIBPATH'].append(arg[2:])
else:
append_next_arg_to = 'LIBPATH'
elif arg[:2] == '-l':
if arg[2:]:
dict['LIBS'].append(arg[2:])
else:
append_next_arg_to = 'LIBS'
elif arg[:2] == '-I':
if arg[2:]:
dict['CPPPATH'].append(arg[2:])
else:
append_next_arg_to = 'CPPPATH'
elif arg[:4] == '-Wa,':
dict['ASFLAGS'].append(arg[4:])
dict['CCFLAGS'].append(arg)
elif arg[:4] == '-Wl,':
if arg[:11] == '-Wl,-rpath=':
dict['RPATH'].append(arg[11:])
elif arg[:7] == '-Wl,-R,':
dict['RPATH'].append(arg[7:])
elif arg[:6] == '-Wl,-R':
dict['RPATH'].append(arg[6:])
else:
dict['LINKFLAGS'].append(arg)
elif arg[:4] == '-Wp,':
dict['CPPFLAGS'].append(arg)
elif arg[:2] == '-D':
if arg[2:]:
append_define(arg[2:])
else:
append_next_arg_to = 'CPPDEFINES'
elif arg == '-framework':
append_next_arg_to = 'FRAMEWORKS'
elif arg[:14] == '-frameworkdir=':
dict['FRAMEWORKPATH'].append(arg[14:])
elif arg[:2] == '-F':
if arg[2:]:
dict['FRAMEWORKPATH'].append(arg[2:])
else:
append_next_arg_to = 'FRAMEWORKPATH'
elif arg in [
'-mno-cygwin',
'-pthread',
'-openmp',
'-fmerge-all-constants',
'-fopenmp',
]:
dict['CCFLAGS'].append(arg)
dict['LINKFLAGS'].append(arg)
elif arg == '-mwindows':
dict['LINKFLAGS'].append(arg)
elif arg[:5] == '-std=':
if '++' in arg[5:]:
key='CXXFLAGS'
else:
key='CFLAGS'
dict[key].append(arg)
elif arg[0] == '+':
dict['CCFLAGS'].append(arg)
dict['LINKFLAGS'].append(arg)
elif arg in [
'-include',
'-imacros',
'-isysroot',
'-isystem',
'-iquote',
'-idirafter',
'-arch',
'--param',
]:
append_next_arg_to = arg
else:
dict['CCFLAGS'].append(arg)
for arg in flags:
do_parse(arg)
return dict
def MergeFlags(self, args, unique=True):
"""Merge flags into construction variables.
Merges the flags from ``args`` into this construction environent.
If ``args`` is not a dict, it is first converted to a dictionary with
flags distributed into appropriate construction variables.
See :meth:`ParseFlags`.
Args:
args: flags to merge
unique: merge flags rather than appending (default: True)
"""
if not is_Dict(args):
args = self.ParseFlags(args)
if not unique:
self.Append(**args)
return
for key, value in args.items():
if not value:
continue
value = Split(value)
try:
orig = self[key]
except KeyError:
orig = value
else:
if not orig:
orig = value
elif value:
# Add orig and value. The logic here was lifted from
# part of env.Append() (see there for a lot of comments
# about the order in which things are tried) and is
# used mainly to handle coercion of strings to CLVar to
# "do the right thing" given (e.g.) an original CCFLAGS
# string variable like '-pipe -Wall'.
try:
orig = orig + value
except (KeyError, TypeError):
try:
add_to_orig = orig.append
except AttributeError:
value.insert(0, orig)
orig = value
else:
add_to_orig(value)
t = []
if key[-4:] == 'PATH':
### keep left-most occurence
for v in orig:
if v not in t:
t.append(v)
else:
### keep right-most occurence
for v in orig[::-1]:
if v not in t:
t.insert(0, v)
self[key] = t
def default_decide_source(dependency, target, prev_ni, repo_node=None):
f = SCons.Defaults.DefaultEnvironment().decide_source
return f(dependency, target, prev_ni, repo_node)
def default_decide_target(dependency, target, prev_ni, repo_node=None):
f = SCons.Defaults.DefaultEnvironment().decide_target
return f(dependency, target, prev_ni, repo_node)
def default_copy_from_cache(env, src, dst):
return SCons.CacheDir.CacheDir.copy_from_cache(env, src, dst)
def default_copy_to_cache(env, src, dst):
return SCons.CacheDir.CacheDir.copy_to_cache(env, src, dst)
class Base(SubstitutionEnvironment):
"""Base class for "real" construction Environments.
These are the primary objects used to communicate dependency
and construction information to the build engine.
Keyword arguments supplied when the construction Environment
is created are construction variables used to initialize the
Environment.
"""
#######################################################################
# This is THE class for interacting with the SCons build engine,
# and it contains a lot of stuff, so we're going to try to keep this
# a little organized by grouping the methods.
#######################################################################
#######################################################################
# Methods that make an Environment act like a dictionary. These have
# the expected standard names for Python mapping objects. Note that
# we don't actually make an Environment a subclass of UserDict for
# performance reasons. Note also that we only supply methods for
# dictionary functionality that we actually need and use.
#######################################################################
def __init__(
self,
platform=None,
tools=None,
toolpath=None,
variables=None,
parse_flags=None,
**kw
):
"""Initialization of a basic SCons construction environment.
Sets up special construction variables like BUILDER,
PLATFORM, etc., and searches for and applies available Tools.
Note that we do *not* call the underlying base class
(SubsitutionEnvironment) initialization, because we need to
initialize things in a very specific order that doesn't work
with the much simpler base class initialization.
"""
if SCons.Debug.track_instances: logInstanceCreation(self, 'Environment.Base')
self._memo = {}
self.fs = SCons.Node.FS.get_default_fs()
self.ans = SCons.Node.Alias.default_ans
self.lookup_list = SCons.Node.arg2nodes_lookups
self._dict = semi_deepcopy(SCons.Defaults.ConstructionEnvironment)
self._init_special()
self.added_methods = []
# We don't use AddMethod, or define these as methods in this
# class, because we *don't* want these functions to be bound
# methods. They need to operate independently so that the
# settings will work properly regardless of whether a given
# target ends up being built with a Base environment or an
# OverrideEnvironment or what have you.
self.decide_target = default_decide_target
self.decide_source = default_decide_source
self.cache_timestamp_newer = False
self._dict['BUILDERS'] = BuilderDict(self._dict['BUILDERS'], self)
if platform is None:
platform = self._dict.get('PLATFORM', None)
if platform is None:
platform = SCons.Platform.Platform()
if is_String(platform):
platform = SCons.Platform.Platform(platform)
self._dict['PLATFORM'] = str(platform)
platform(self)
# these should be set by the platform, backstop just in case
self._dict['HOST_OS'] = self._dict.get('HOST_OS', None)
self._dict['HOST_ARCH'] = self._dict.get('HOST_ARCH', None)
# these are not currently set by the platform, give them a default
self._dict['TARGET_OS'] = self._dict.get('TARGET_OS', None)
self._dict['TARGET_ARCH'] = self._dict.get('TARGET_ARCH', None)
# Apply the passed-in and customizable variables to the
# environment before calling the tools, because they may use
# some of them during initialization.
if 'options' in kw:
# Backwards compatibility: they may stll be using the
# old "options" keyword.
variables = kw['options']
del kw['options']
self.Replace(**kw)
keys = list(kw.keys())
if variables:
keys = keys + list(variables.keys())
variables.Update(self)
save = {}
for k in keys:
try:
save[k] = self._dict[k]
except KeyError:
# No value may have been set if they tried to pass in a
# reserved variable name like TARGETS.
pass
SCons.Tool.Initializers(self)
if tools is None:
tools = self._dict.get('TOOLS', None)
if tools is None:
tools = ['default']
apply_tools(self, tools, toolpath)
# Now restore the passed-in and customized variables
# to the environment, since the values the user set explicitly
# should override any values set by the tools.
for key, val in save.items():
self._dict[key] = val
# Finally, apply any flags to be merged in
if parse_flags:
self.MergeFlags(parse_flags)
#######################################################################
# Utility methods that are primarily for internal use by SCons.
# These begin with lower-case letters.
#######################################################################
def get_builder(self, name):
"""Fetch the builder with the specified name from the environment.
"""
try:
return self._dict['BUILDERS'][name]
except KeyError:
return None
def validate_CacheDir_class(self, custom_class=None):
"""Validate the passed custom CacheDir class, or if no args are passed,
validate the custom CacheDir class from the environment.
"""
if custom_class is None:
custom_class = self.get("CACHEDIR_CLASS", SCons.CacheDir.CacheDir)
if not issubclass(custom_class, SCons.CacheDir.CacheDir):
raise UserError("Custom CACHEDIR_CLASS %s not derived from CacheDir" % str(custom_class))
return custom_class
def get_CacheDir(self):
try:
path = self._CacheDir_path
except AttributeError:
path = SCons.Defaults.DefaultEnvironment()._CacheDir_path
cachedir_class = self.validate_CacheDir_class()
try:
if (path == self._last_CacheDir_path
# this checks if the cachedir class type has changed from what the
# instantiated cache dir type is. If the are exactly the same we
# can just keep using the existing one, otherwise the user is requesting
# something new, so we will re-instantiate below.
and type(self._last_CacheDir) is cachedir_class):
return self._last_CacheDir
except AttributeError:
pass
cd = cachedir_class(path)
self._last_CacheDir_path = path
self._last_CacheDir = cd
return cd
def get_factory(self, factory, default='File'):
"""Return a factory function for creating Nodes for this
construction environment.
"""
name = default
try:
is_node = issubclass(factory, SCons.Node.FS.Base)
except TypeError:
# The specified factory isn't a Node itself--it's
# most likely None, or possibly a callable.
pass
else:
if is_node:
# The specified factory is a Node (sub)class. Try to
# return the FS method that corresponds to the Node's
# name--that is, we return self.fs.Dir if they want a Dir,
# self.fs.File for a File, etc.
try: name = factory.__name__
except AttributeError: pass
else: factory = None
if not factory:
# They passed us None, or we picked up a name from a specified
# class, so return the FS method. (Note that we *don't*
# use our own self.{Dir,File} methods because that would
# cause env.subst() to be called twice on the file name,
# interfering with files that have $$ in them.)
factory = getattr(self.fs, name)
return factory
@SCons.Memoize.CountMethodCall
def _gsm(self):
try:
return self._memo['_gsm']
except KeyError:
pass
result = {}
try:
scanners = self._dict['SCANNERS']
except KeyError:
pass
else:
# Reverse the scanner list so that, if multiple scanners
# claim they can scan the same suffix, earlier scanners
# in the list will overwrite later scanners, so that
# the result looks like a "first match" to the user.
if not is_List(scanners):
scanners = [scanners]
else:
scanners = scanners[:] # copy so reverse() doesn't mod original
scanners.reverse()
for scanner in scanners:
for k in scanner.get_skeys(self):
if k and self['PLATFORM'] == 'win32':
k = k.lower()
result[k] = scanner
self._memo['_gsm'] = result
return result
def get_scanner(self, skey):
"""Find the appropriate scanner given a key (usually a file suffix).
"""
if skey and self['PLATFORM'] == 'win32':
skey = skey.lower()
return self._gsm().get(skey)
def scanner_map_delete(self, kw=None):
"""Delete the cached scanner map (if we need to).
"""
try:
del self._memo['_gsm']
except KeyError:
pass
def _update(self, other):
"""Private method to update an environment's consvar dict directly.
Bypasses the normal checks that occur when users try to set items.
"""
self._dict.update(other)
def _update_onlynew(self, other):
"""Private method to add new items to an environment's consvar dict.
Only adds items from `other` whose keys do not already appear in
the existing dict; values from `other` are not used for replacement.
Bypasses the normal checks that occur when users try to set items.
"""
for k, v in other.items():
if k not in self._dict:
self._dict[k] = v
def get_src_sig_type(self):
try:
return self.src_sig_type
except AttributeError:
t = SCons.Defaults.DefaultEnvironment().src_sig_type
self.src_sig_type = t
return t
def get_tgt_sig_type(self):
try:
return self.tgt_sig_type
except AttributeError:
t = SCons.Defaults.DefaultEnvironment().tgt_sig_type
self.tgt_sig_type = t
return t
#######################################################################
# Public methods for manipulating an Environment. These begin with
# upper-case letters. The essential characteristic of methods in
# this section is that they do *not* have corresponding same-named
# global functions. For example, a stand-alone Append() function
# makes no sense, because Append() is all about appending values to
# an Environment's construction variables.
#######################################################################
def Append(self, **kw):
"""Append values to construction variables in an Environment.
The variable is created if it is not already present.
"""
kw = copy_non_reserved_keywords(kw)
for key, val in kw.items():
try:
if key == 'CPPDEFINES' and is_String(self._dict[key]):
self._dict[key] = [self._dict[key]]
orig = self._dict[key]
except KeyError:
# No existing var in the environment, so set to the new value.
if key == 'CPPDEFINES' and is_String(val):
self._dict[key] = [val]
else:
self._dict[key] = val
continue
try:
# Check if the original looks like a dict: has .update?
update_dict = orig.update
except AttributeError:
try:
# Just try to add them together. This will work
# in most cases, when the original and new values
# are compatible types.
self._dict[key] = orig + val
except (KeyError, TypeError):
try:
# Check if the original is a list: has .append?
add_to_orig = orig.append
except AttributeError:
# The original isn't a list, but the new
# value is (by process of elimination),
# so insert the original in the new value
# (if there's one to insert) and replace
# the variable with it.
if orig:
val.insert(0, orig)
self._dict[key] = val
else:
# The original is a list, so append the new
# value to it (if there's a value to append).
if val:
add_to_orig(val)
continue
# The original looks like a dictionary, so update it
# based on what we think the value looks like.
# We can't just try adding the value because
# dictionaries don't have __add__() methods, and
# things like UserList will incorrectly coerce the
# original dict to a list (which we don't want).
if is_List(val):
if key == 'CPPDEFINES':
tmp = []
for (k, v) in orig.items():
if v is not None:
tmp.append((k, v))
else:
tmp.append((k,))
orig = tmp
orig += val
self._dict[key] = orig
else:
for v in val:
orig[v] = None
else:
try:
update_dict(val)
except (AttributeError, TypeError, ValueError):
if is_Dict(val):
for k, v in val.items():
orig[k] = v
else:
orig[val] = None
self.scanner_map_delete(kw)
def _canonicalize(self, path):
"""Allow Dirs and strings beginning with # for top-relative.
Note this uses the current env's fs (in self).
"""
if not is_String(path): # typically a Dir
path = str(path)
if path and path[0] == '#':
path = str(self.fs.Dir(path))
return path
def AppendENVPath(self, name, newpath, envname = 'ENV',
sep = os.pathsep, delete_existing=0):
"""Append path elements to the path 'name' in the 'ENV'
dictionary for this environment. Will only add any particular
path once, and will normpath and normcase all paths to help
assure this. This can also handle the case where the env
variable is a list instead of a string.
If delete_existing is 0, a newpath which is already in the path
will not be moved to the end (it will be left where it is).
"""
orig = ''
if envname in self._dict and name in self._dict[envname]:
orig = self._dict[envname][name]
nv = AppendPath(orig, newpath, sep, delete_existing, canonicalize=self._canonicalize)
if envname not in self._dict:
self._dict[envname] = {}
self._dict[envname][name] = nv
def AppendUnique(self, delete_existing=0, **kw):
"""Append values to existing construction variables
in an Environment, if they're not already there.
If delete_existing is 1, removes existing values first, so
values move to end.
"""
kw = copy_non_reserved_keywords(kw)
for key, val in kw.items():
if is_List(val):
val = _delete_duplicates(val, delete_existing)
if key not in self._dict or self._dict[key] in ('', None):
self._dict[key] = val
elif is_Dict(self._dict[key]) and is_Dict(val):
self._dict[key].update(val)
elif is_List(val):
dk = self._dict[key]
if key == 'CPPDEFINES':
tmp = []
for i in val:
if is_List(i):
if len(i) >= 2:
tmp.append((i[0], i[1]))
else:
tmp.append((i[0],))
elif is_Tuple(i):
tmp.append(i)
else:
tmp.append((i,))
val = tmp
# Construct a list of (key, value) tuples.
if is_Dict(dk):
tmp = []
for (k, v) in dk.items():
if v is not None:
tmp.append((k, v))
else:
tmp.append((k,))
dk = tmp
elif is_String(dk):
dk = [(dk,)]
else:
tmp = []
for i in dk:
if is_List(i):
if len(i) >= 2:
tmp.append((i[0], i[1]))
else:
tmp.append((i[0],))
elif is_Tuple(i):
tmp.append(i)
else:
tmp.append((i,))
dk = tmp
else:
if not is_List(dk):
dk = [dk]
if delete_existing:
dk = [x for x in dk if x not in val]
else:
val = [x for x in val if x not in dk]
self._dict[key] = dk + val
else:
dk = self._dict[key]
if is_List(dk):
if key == 'CPPDEFINES':
tmp = []
for i in dk:
if is_List(i):
if len(i) >= 2:
tmp.append((i[0], i[1]))
else:
tmp.append((i[0],))
elif is_Tuple(i):
tmp.append(i)
else:
tmp.append((i,))
dk = tmp
# Construct a list of (key, value) tuples.
if is_Dict(val):
tmp = []
for (k, v) in val.items():
if v is not None:
tmp.append((k, v))
else:
tmp.append((k,))
val = tmp
elif is_String(val):
val = [(val,)]
if delete_existing:
dk = list(filter(lambda x, val=val: x not in val, dk))
self._dict[key] = dk + val
else:
dk = [x for x in dk if x not in val]
self._dict[key] = dk + val
else:
# By elimination, val is not a list. Since dk is a
# list, wrap val in a list first.
if delete_existing:
dk = list(filter(lambda x, val=val: x not in val, dk))
self._dict[key] = dk + [val]
else:
if val not in dk:
self._dict[key] = dk + [val]
else:
if key == 'CPPDEFINES':
if is_String(dk):
dk = [dk]
elif is_Dict(dk):
tmp = []
for (k, v) in dk.items():
if v is not None:
tmp.append((k, v))
else:
tmp.append((k,))
dk = tmp
if is_String(val):
if val in dk:
val = []
else:
val = [val]
elif is_Dict(val):
tmp = []
for i,j in val.items():
if j is not None:
tmp.append((i,j))
else:
tmp.append(i)
val = tmp
if delete_existing:
dk = [x for x in dk if x not in val]
self._dict[key] = dk + val
self.scanner_map_delete(kw)
def Clone(self, tools=[], toolpath=None, parse_flags = None, **kw):
"""Return a copy of a construction Environment.
The copy is like a Python "deep copy"--that is, independent
copies are made recursively of each objects--except that
a reference is copied when an object is not deep-copyable
(like a function). There are no references to any mutable
objects in the original Environment.
"""
builders = self._dict.get('BUILDERS', {})
clone = copy.copy(self)
# BUILDERS is not safe to do a simple copy
clone._dict = semi_deepcopy_dict(self._dict, ['BUILDERS'])
clone._dict['BUILDERS'] = BuilderDict(builders, clone)
# Check the methods added via AddMethod() and re-bind them to
# the cloned environment. Only do this if the attribute hasn't
# been overwritten by the user explicitly and still points to
# the added method.
clone.added_methods = []
for mw in self.added_methods:
if mw == getattr(self, mw.name):
clone.added_methods.append(mw.clone(clone))
clone._memo = {}
# Apply passed-in variables before the tools
# so the tools can use the new variables
kw = copy_non_reserved_keywords(kw)
new = {}
for key, value in kw.items():
new[key] = SCons.Subst.scons_subst_once(value, self, key)
clone.Replace(**new)
apply_tools(clone, tools, toolpath)
# apply them again in case the tools overwrote them
clone.Replace(**new)
# Finally, apply any flags to be merged in
if parse_flags:
clone.MergeFlags(parse_flags)
if SCons.Debug.track_instances: logInstanceCreation(self, 'Environment.EnvironmentClone')
return clone
def _changed_build(self, dependency, target, prev_ni, repo_node=None):
if dependency.changed_state(target, prev_ni, repo_node):
return 1
return self.decide_source(dependency, target, prev_ni, repo_node)
def _changed_content(self, dependency, target, prev_ni, repo_node=None):
return dependency.changed_content(target, prev_ni, repo_node)
def _changed_source(self, dependency, target, prev_ni, repo_node=None):
target_env = dependency.get_build_env()
type = target_env.get_tgt_sig_type()
if type == 'source':
return target_env.decide_source(dependency, target, prev_ni, repo_node)
else:
return target_env.decide_target(dependency, target, prev_ni, repo_node)
def _changed_timestamp_then_content(self, dependency, target, prev_ni, repo_node=None):
return dependency.changed_timestamp_then_content(target, prev_ni, repo_node)
def _changed_timestamp_newer(self, dependency, target, prev_ni, repo_node=None):
return dependency.changed_timestamp_newer(target, prev_ni, repo_node)
def _changed_timestamp_match(self, dependency, target, prev_ni, repo_node=None):
return dependency.changed_timestamp_match(target, prev_ni, repo_node)
def Decider(self, function):
self.cache_timestamp_newer = False
if function in ('MD5', 'content'):
# TODO: Handle if user requests MD5 and not content with deprecation notice
function = self._changed_content
elif function in ('MD5-timestamp', 'content-timestamp'):
function = self._changed_timestamp_then_content
elif function in ('timestamp-newer', 'make'):
function = self._changed_timestamp_newer
self.cache_timestamp_newer = True
elif function == 'timestamp-match':
function = self._changed_timestamp_match
elif not callable(function):
raise UserError("Unknown Decider value %s" % repr(function))
# We don't use AddMethod because we don't want to turn the
# function, which only expects three arguments, into a bound
# method, which would add self as an initial, fourth argument.
self.decide_target = function
self.decide_source = function
def Detect(self, progs):
"""Return the first available program from one or more possibilities.
Args:
progs (str or list): one or more command names to check for
"""
if not is_List(progs):
progs = [progs]
for prog in progs:
path = self.WhereIs(prog)
if path: return prog
return None
def Dictionary(self, *args):
r"""Return construction variables from an environment.
Args:
\*args (optional): variable names to look up
Returns:
If `args` omitted, the dictionary of all construction variables.
If one arg, the corresponding value is returned.
If more than one arg, a list of values is returned.
Raises:
KeyError: if any of `args` is not in the construction environment.
"""
if not args:
return self._dict
dlist = [self._dict[x] for x in args]
if len(dlist) == 1:
dlist = dlist[0]
return dlist
def Dump(self, key=None, format='pretty'):
""" Return construction variables serialized to a string.
Args:
key (optional): if None, format the whole dict of variables.
Else format the value of `key` (Default value = None)
format (str, optional): specify the format to serialize to.
`"pretty"` generates a pretty-printed string,
`"json"` a JSON-formatted string.
(Default value = `"pretty"`)
"""
if key:
cvars = self.Dictionary(key)
else:
cvars = self.Dictionary()
fmt = format.lower()
if fmt == 'pretty':
import pprint
pp = pprint.PrettyPrinter(indent=2)
# TODO: pprint doesn't do a nice job on path-style values
# if the paths contain spaces (i.e. Windows), because the
# algorithm tries to break lines on spaces, while breaking
# on the path-separator would be more "natural". Is there
# a better way to format those?
return pp.pformat(cvars)
elif fmt == 'json':
import json
def non_serializable(obj):
return str(type(obj).__qualname__)
return json.dumps(cvars, indent=4, default=non_serializable)
else:
raise ValueError("Unsupported serialization format: %s." % fmt)
def FindIxes(self, paths, prefix, suffix):
"""Search a list of paths for something that matches the prefix and suffix.
Args:
paths: the list of paths or nodes.
prefix: construction variable for the prefix.
suffix: construction variable for the suffix.
Returns: the matched path or None
"""
suffix = self.subst('$'+suffix)
prefix = self.subst('$'+prefix)
for path in paths:
name = os.path.basename(str(path))
if name[:len(prefix)] == prefix and name[-len(suffix):] == suffix:
return path
def ParseConfig(self, command, function=None, unique=True):
"""
Use the specified function to parse the output of the command
in order to modify the current environment. The 'command' can
be a string or a list of strings representing a command and
its arguments. 'Function' is an optional argument that takes
the environment, the output of the command, and the unique flag.
If no function is specified, MergeFlags, which treats the output
as the result of a typical 'X-config' command (i.e. gtk-config),
will merge the output into the appropriate variables.
"""
if function is None:
def parse_conf(env, cmd, unique=unique):
return env.MergeFlags(cmd, unique)
function = parse_conf
if is_List(command):
command = ' '.join(command)
command = self.subst(command)
return function(self, self.backtick(command))
def ParseDepends(self, filename, must_exist=None, only_one=False):
"""
Parse a mkdep-style file for explicit dependencies. This is
completely abusable, and should be unnecessary in the "normal"
case of proper SCons configuration, but it may help make
the transition from a Make hierarchy easier for some people
to swallow. It can also be genuinely useful when using a tool
that can write a .d file, but for which writing a scanner would
be too complicated.
"""
filename = self.subst(filename)
try:
with open(filename, 'r') as fp:
lines = LogicalLines(fp).readlines()
except IOError:
if must_exist:
raise
return
lines = [l for l in lines if l[0] != '#']
tdlist = []
for line in lines:
try:
target, depends = line.split(':', 1)
except (AttributeError, ValueError):
# Throws AttributeError if line isn't a string. Can throw
# ValueError if line doesn't split into two or more elements.
pass
else:
tdlist.append((target.split(), depends.split()))
if only_one:
targets = []
for td in tdlist:
targets.extend(td[0])
if len(targets) > 1:
raise UserError(
"More than one dependency target found in `%s': %s"
% (filename, targets))
for target, depends in tdlist:
self.Depends(target, depends)
def Platform(self, platform):
platform = self.subst(platform)
return SCons.Platform.Platform(platform)(self)
def Prepend(self, **kw):
"""Prepend values to construction variables in an Environment.
The variable is created if it is not already present.
"""
kw = copy_non_reserved_keywords(kw)
for key, val in kw.items():
try:
orig = self._dict[key]
except KeyError:
# No existing var in the environment so set to the new value.
self._dict[key] = val
continue
try:
# Check if the original looks like a dict: has .update?
update_dict = orig.update
except AttributeError:
try:
# Just try to add them together. This will work
# in most cases, when the original and new values
# are compatible types.
self._dict[key] = val + orig
except (KeyError, TypeError):
try:
# Check if the added value is a list: has .append?
add_to_val = val.append
except AttributeError:
# The added value isn't a list, but the
# original is (by process of elimination),
# so insert the the new value in the original
# (if there's one to insert).
if val:
orig.insert(0, val)
else:
# The added value is a list, so append
# the original to it (if there's a value
# to append) and replace the original.
if orig:
add_to_val(orig)
self._dict[key] = val
continue
# The original looks like a dictionary, so update it
# based on what we think the value looks like.
# We can't just try adding the value because
# dictionaries don't have __add__() methods, and
# things like UserList will incorrectly coerce the
# original dict to a list (which we don't want).
if is_List(val):
for v in val:
orig[v] = None
else:
try:
update_dict(val)
except (AttributeError, TypeError, ValueError):
if is_Dict(val):
for k, v in val.items():
orig[k] = v
else:
orig[val] = None
self.scanner_map_delete(kw)
def PrependENVPath(self, name, newpath, envname = 'ENV', sep = os.pathsep,
delete_existing=1):
"""Prepend path elements to the path 'name' in the 'ENV'
dictionary for this environment. Will only add any particular
path once, and will normpath and normcase all paths to help
assure this. This can also handle the case where the env
variable is a list instead of a string.
If delete_existing is 0, a newpath which is already in the path
will not be moved to the front (it will be left where it is).
"""
orig = ''
if envname in self._dict and name in self._dict[envname]:
orig = self._dict[envname][name]
nv = PrependPath(orig, newpath, sep, delete_existing,
canonicalize=self._canonicalize)
if envname not in self._dict:
self._dict[envname] = {}
self._dict[envname][name] = nv
def PrependUnique(self, delete_existing=0, **kw):
"""Prepend values to existing construction variables
in an Environment, if they're not already there.
If delete_existing is 1, removes existing values first, so
values move to front.
"""
kw = copy_non_reserved_keywords(kw)
for key, val in kw.items():
if is_List(val):
val = _delete_duplicates(val, not delete_existing)
if key not in self._dict or self._dict[key] in ('', None):
self._dict[key] = val
elif is_Dict(self._dict[key]) and is_Dict(val):
self._dict[key].update(val)
elif is_List(val):
dk = self._dict[key]
if not is_List(dk):
dk = [dk]
if delete_existing:
dk = [x for x in dk if x not in val]
else:
val = [x for x in val if x not in dk]
self._dict[key] = val + dk
else:
dk = self._dict[key]
if is_List(dk):
# By elimination, val is not a list. Since dk is a
# list, wrap val in a list first.
if delete_existing:
dk = [x for x in dk if x not in val]
self._dict[key] = [val] + dk
else:
if val not in dk:
self._dict[key] = [val] + dk
else:
if delete_existing:
dk = [x for x in dk if x not in val]
self._dict[key] = val + dk
self.scanner_map_delete(kw)
def Replace(self, **kw):
"""Replace existing construction variables in an Environment
with new construction variables and/or values.
"""
try:
kwbd = kw['BUILDERS']
except KeyError:
pass
else:
kwbd = BuilderDict(kwbd,self)
del kw['BUILDERS']
self.__setitem__('BUILDERS', kwbd)
kw = copy_non_reserved_keywords(kw)
self._update(semi_deepcopy(kw))
self.scanner_map_delete(kw)
def ReplaceIxes(self, path, old_prefix, old_suffix, new_prefix, new_suffix):
"""
Replace old_prefix with new_prefix and old_suffix with new_suffix.
env - Environment used to interpolate variables.
path - the path that will be modified.
old_prefix - construction variable for the old prefix.
old_suffix - construction variable for the old suffix.
new_prefix - construction variable for the new prefix.
new_suffix - construction variable for the new suffix.
"""
old_prefix = self.subst('$'+old_prefix)
old_suffix = self.subst('$'+old_suffix)
new_prefix = self.subst('$'+new_prefix)
new_suffix = self.subst('$'+new_suffix)
dir,name = os.path.split(str(path))
if name[:len(old_prefix)] == old_prefix:
name = name[len(old_prefix):]
if name[-len(old_suffix):] == old_suffix:
name = name[:-len(old_suffix)]
return os.path.join(dir, new_prefix+name+new_suffix)
def SetDefault(self, **kw):
for k in list(kw.keys()):
if k in self._dict:
del kw[k]
self.Replace(**kw)
def _find_toolpath_dir(self, tp):
return self.fs.Dir(self.subst(tp)).srcnode().get_abspath()
def Tool(self, tool, toolpath=None, **kwargs) -> SCons.Tool.Tool:
if is_String(tool):
tool = self.subst(tool)
if toolpath is None:
toolpath = self.get('toolpath', [])
toolpath = list(map(self._find_toolpath_dir, toolpath))
tool = SCons.Tool.Tool(tool, toolpath, **kwargs)
tool(self)
return tool
def WhereIs(self, prog, path=None, pathext=None, reject=None):
"""Find prog in the path. """
if not prog: # nothing to search for, just give up
return None
if path is None:
try:
path = self['ENV']['PATH']
except KeyError:
pass
elif is_String(path):
path = self.subst(path)
if pathext is None:
try:
pathext = self['ENV']['PATHEXT']
except KeyError:
pass
elif is_String(pathext):
pathext = self.subst(pathext)
prog = CLVar(self.subst(prog)) # support "program --with-args"
path = WhereIs(prog[0], path, pathext, reject)
if path:
return path
return None
#######################################################################
# Public methods for doing real "SCons stuff" (manipulating
# dependencies, setting attributes on targets, etc.). These begin
# with upper-case letters. The essential characteristic of methods
# in this section is that they all *should* have corresponding
# same-named global functions.
#######################################################################
def Action(self, *args, **kw):
def subst_string(a, self=self):
if is_String(a):
a = self.subst(a)
return a
nargs = list(map(subst_string, args))
nkw = self.subst_kw(kw)
return SCons.Action.Action(*nargs, **nkw)
def AddPreAction(self, files, action):
nodes = self.arg2nodes(files, self.fs.Entry)
action = SCons.Action.Action(action)
uniq = {}
for executor in [n.get_executor() for n in nodes]:
uniq[executor] = 1
for executor in uniq.keys():
executor.add_pre_action(action)
return nodes
def AddPostAction(self, files, action):
nodes = self.arg2nodes(files, self.fs.Entry)
action = SCons.Action.Action(action)
uniq = {}
for executor in [n.get_executor() for n in nodes]:
uniq[executor] = 1
for executor in uniq.keys():
executor.add_post_action(action)
return nodes
def Alias(self, target, source=[], action=None, **kw):
tlist = self.arg2nodes(target, self.ans.Alias)
if not is_List(source):
source = [source]
source = [_f for _f in source if _f]
if not action:
if not source:
# There are no source files and no action, so just
# return a target list of classic Alias Nodes, without
# any builder. The externally visible effect is that
# this will make the wrapping Script.BuildTask class
# say that there's "Nothing to be done" for this Alias,
# instead of that it's "up to date."
return tlist
# No action, but there are sources. Re-call all the target
# builders to add the sources to each target.
result = []
for t in tlist:
bld = t.get_builder(AliasBuilder)
result.extend(bld(self, t, source))
return result
nkw = self.subst_kw(kw)
nkw.update({
'action' : SCons.Action.Action(action),
'source_factory' : self.fs.Entry,
'multi' : 1,
'is_explicit' : None,
})
bld = SCons.Builder.Builder(**nkw)
# Apply the Builder separately to each target so that the Aliases
# stay separate. If we did one "normal" Builder call with the
# whole target list, then all of the target Aliases would be
# associated under a single Executor.
result = []
for t in tlist:
# Calling the convert() method will cause a new Executor to be
# created from scratch, so we have to explicitly initialize
# it with the target's existing sources, plus our new ones,
# so nothing gets lost.
b = t.get_builder()
if b is None or b is AliasBuilder:
b = bld
else:
nkw['action'] = b.action + action
b = SCons.Builder.Builder(**nkw)
t.convert()
result.extend(b(self, t, t.sources + source))
return result
def AlwaysBuild(self, *targets):
tlist = []
for t in targets:
tlist.extend(self.arg2nodes(t, self.fs.Entry))
for t in tlist:
t.set_always_build()
return tlist
def Builder(self, **kw):
nkw = self.subst_kw(kw)
return SCons.Builder.Builder(**nkw)
def CacheDir(self, path, custom_class=None):
if path is not None:
path = self.subst(path)
self._CacheDir_path = path
if custom_class:
self['CACHEDIR_CLASS'] = self.validate_CacheDir_class(custom_class)
if SCons.Action.execute_actions:
# Only initialize the CacheDir if -n/-no_exec was NOT specified.
# Now initialized the CacheDir and prevent a race condition which can
# happen when there's no existing cache dir and you are building with
# multiple threads, but initializing it before the task walk starts
self.get_CacheDir()
def Clean(self, targets, files):
global CleanTargets
tlist = self.arg2nodes(targets, self.fs.Entry)
flist = self.arg2nodes(files, self.fs.Entry)
for t in tlist:
try:
CleanTargets[t].extend(flist)
except KeyError:
CleanTargets[t] = flist
def Configure(self, *args, **kw):
nargs = [self]
if args:
nargs = nargs + self.subst_list(args)[0]
nkw = self.subst_kw(kw)
nkw['_depth'] = kw.get('_depth', 0) + 1
try:
nkw['custom_tests'] = self.subst_kw(nkw['custom_tests'])
except KeyError:
pass
return SCons.SConf.SConf(*nargs, **nkw)
def Command(self, target, source, action, **kw):
"""Builds the supplied target files from the supplied
source files using the supplied action. Action may
be any type that the Builder constructor will accept
for an action."""
bkw = {
'action': action,
'target_factory': self.fs.Entry,
'source_factory': self.fs.Entry,
}
# source scanner
try:
bkw['source_scanner'] = kw['source_scanner']
except KeyError:
pass
else:
del kw['source_scanner']
# target scanner
try:
bkw['target_scanner'] = kw['target_scanner']
except KeyError:
pass
else:
del kw['target_scanner']
# source factory
try:
bkw['source_factory'] = kw['source_factory']
except KeyError:
pass
else:
del kw['source_factory']
# target factory
try:
bkw['target_factory'] = kw['target_factory']
except KeyError:
pass
else:
del kw['target_factory']
bld = SCons.Builder.Builder(**bkw)
return bld(self, target, source, **kw)
def Depends(self, target, dependency):
"""Explicity specify that 'target's depend on 'dependency'."""
tlist = self.arg2nodes(target, self.fs.Entry)
dlist = self.arg2nodes(dependency, self.fs.Entry)
for t in tlist:
t.add_dependency(dlist)
return tlist
def Dir(self, name, *args, **kw):
"""
"""
s = self.subst(name)
if is_Sequence(s):
result=[]
for e in s:
result.append(self.fs.Dir(e, *args, **kw))
return result
return self.fs.Dir(s, *args, **kw)
def PyPackageDir(self, modulename):
s = self.subst(modulename)
if is_Sequence(s):
result=[]
for e in s:
result.append(self.fs.PyPackageDir(e))
return result
return self.fs.PyPackageDir(s)
def NoClean(self, *targets):
"""Tags a target so that it will not be cleaned by -c"""
tlist = []
for t in targets:
tlist.extend(self.arg2nodes(t, self.fs.Entry))
for t in tlist:
t.set_noclean()
return tlist
def NoCache(self, *targets):
"""Tags a target so that it will not be cached"""
tlist = []
for t in targets:
tlist.extend(self.arg2nodes(t, self.fs.Entry))
for t in tlist:
t.set_nocache()
return tlist
def Entry(self, name, *args, **kw):
"""
"""
s = self.subst(name)
if is_Sequence(s):
result=[]
for e in s:
result.append(self.fs.Entry(e, *args, **kw))
return result
return self.fs.Entry(s, *args, **kw)
def Environment(self, **kw):
return SCons.Environment.Environment(**self.subst_kw(kw))
def Execute(self, action, *args, **kw):
"""Directly execute an action through an Environment
"""
action = self.Action(action, *args, **kw)
result = action([], [], self)
if isinstance(result, BuildError):
errstr = result.errstr
if result.filename:
errstr = result.filename + ': ' + errstr
sys.stderr.write("scons: *** %s\n" % errstr)
return result.status
else:
return result
def File(self, name, *args, **kw):
"""
"""
s = self.subst(name)
if is_Sequence(s):
result=[]
for e in s:
result.append(self.fs.File(e, *args, **kw))
return result
return self.fs.File(s, *args, **kw)
def FindFile(self, file, dirs):
file = self.subst(file)
nodes = self.arg2nodes(dirs, self.fs.Dir)
return SCons.Node.FS.find_file(file, tuple(nodes))
def Flatten(self, sequence):
return flatten(sequence)
def GetBuildPath(self, files):
result = list(map(str, self.arg2nodes(files, self.fs.Entry)))
if is_List(files):
return result
else:
return result[0]
def Glob(self, pattern, ondisk=True, source=False, strings=False, exclude=None):
return self.fs.Glob(self.subst(pattern), ondisk, source, strings, exclude)
def Ignore(self, target, dependency):
"""Ignore a dependency."""
tlist = self.arg2nodes(target, self.fs.Entry)
dlist = self.arg2nodes(dependency, self.fs.Entry)
for t in tlist:
t.add_ignore(dlist)
return tlist
def Literal(self, string):
return SCons.Subst.Literal(string)
def Local(self, *targets):
ret = []
for targ in targets:
if isinstance(targ, SCons.Node.Node):
targ.set_local()
ret.append(targ)
else:
for t in self.arg2nodes(targ, self.fs.Entry):
t.set_local()
ret.append(t)
return ret
def Precious(self, *targets):
tlist = []
for t in targets:
tlist.extend(self.arg2nodes(t, self.fs.Entry))
for t in tlist:
t.set_precious()
return tlist
def Pseudo(self, *targets):
tlist = []
for t in targets:
tlist.extend(self.arg2nodes(t, self.fs.Entry))
for t in tlist:
t.set_pseudo()
return tlist
def Repository(self, *dirs, **kw):
dirs = self.arg2nodes(list(dirs), self.fs.Dir)
self.fs.Repository(*dirs, **kw)
def Requires(self, target, prerequisite):
"""Specify that 'prerequisite' must be built before 'target',
(but 'target' does not actually depend on 'prerequisite'
and need not be rebuilt if it changes)."""
tlist = self.arg2nodes(target, self.fs.Entry)
plist = self.arg2nodes(prerequisite, self.fs.Entry)
for t in tlist:
t.add_prerequisite(plist)
return tlist
def Scanner(self, *args, **kw):
nargs = []
for arg in args:
if is_String(arg):
arg = self.subst(arg)
nargs.append(arg)
nkw = self.subst_kw(kw)
return SCons.Scanner.ScannerBase(*nargs, **nkw)
def SConsignFile(self, name=SCons.SConsign.current_sconsign_filename(), dbm_module=None):
if name is not None:
name = self.subst(name)
if not os.path.isabs(name):
name = os.path.join(str(self.fs.SConstruct_dir), name)
if name:
name = os.path.normpath(name)
sconsign_dir = os.path.dirname(name)
if sconsign_dir and not os.path.exists(sconsign_dir):
self.Execute(SCons.Defaults.Mkdir(sconsign_dir))
SCons.SConsign.File(name, dbm_module)
def SideEffect(self, side_effect, target):
"""Tell scons that side_effects are built as side
effects of building targets."""
side_effects = self.arg2nodes(side_effect, self.fs.Entry)
targets = self.arg2nodes(target, self.fs.Entry)
added_side_effects = []
for side_effect in side_effects:
if side_effect.multiple_side_effect_has_builder():
raise UserError("Multiple ways to build the same target were specified for: %s" % str(side_effect))
side_effect.add_source(targets)
side_effect.side_effect = 1
self.Precious(side_effect)
added = False
for target in targets:
if side_effect not in target.side_effects:
target.side_effects.append(side_effect)
added = True
if added:
added_side_effects.append(side_effect)
return added_side_effects
def Split(self, arg):
"""This function converts a string or list into a list of strings
or Nodes. This makes things easier for users by allowing files to
be specified as a white-space separated list to be split.
The input rules are:
- A single string containing names separated by spaces. These will be
split apart at the spaces.
- A single Node instance
- A list containing either strings or Node instances. Any strings
in the list are not split at spaces.
In all cases, the function returns a list of Nodes and strings."""
if is_List(arg):
return list(map(self.subst, arg))
elif is_String(arg):
return self.subst(arg).split()
else:
return [self.subst(arg)]
def Value(self, value, built_value=None, name=None):
"""
"""
return SCons.Node.Python.ValueWithMemo(value, built_value, name)
def VariantDir(self, variant_dir, src_dir, duplicate=1):
variant_dir = self.arg2nodes(variant_dir, self.fs.Dir)[0]
src_dir = self.arg2nodes(src_dir, self.fs.Dir)[0]
self.fs.VariantDir(variant_dir, src_dir, duplicate)
def FindSourceFiles(self, node='.'):
""" returns a list of all source files.
"""
node = self.arg2nodes(node, self.fs.Entry)[0]
sources = []
def build_source(ss):
for s in ss:
if isinstance(s, SCons.Node.FS.Dir):
build_source(s.all_children())
elif s.has_builder():
build_source(s.sources)
elif isinstance(s.disambiguate(), SCons.Node.FS.File):
sources.append(s)
build_source(node.all_children())
def final_source(node):
while node != node.srcnode():
node = node.srcnode()
return node
sources = list(map(final_source, sources))
# remove duplicates
return list(set(sources))
def FindInstalledFiles(self):
""" returns the list of all targets of the Install and InstallAs Builder.
"""
from SCons.Tool import install
if install._UNIQUE_INSTALLED_FILES is None:
install._UNIQUE_INSTALLED_FILES = uniquer_hashables(install._INSTALLED_FILES)
return install._UNIQUE_INSTALLED_FILES
class OverrideEnvironment(Base):
"""A proxy that overrides variables in a wrapped construction
environment by returning values from an overrides dictionary in
preference to values from the underlying subject environment.
This is a lightweight (I hope) proxy that passes through most use of
attributes to the underlying Environment.Base class, but has just
enough additional methods defined to act like a real construction
environment with overridden values. It can wrap either a Base
construction environment, or another OverrideEnvironment, which
can in turn nest arbitrary OverrideEnvironments...
Note that we do *not* call the underlying base class
(SubsitutionEnvironment) initialization, because we get most of those
from proxying the attributes of the subject construction environment.
But because we subclass SubstitutionEnvironment, this class also
has inherited arg2nodes() and subst*() methods; those methods can't
be proxied because they need *this* object's methods to fetch the
values from the overrides dictionary.
"""
def __init__(self, subject, overrides=None):
if SCons.Debug.track_instances: logInstanceCreation(self, 'Environment.OverrideEnvironment')
self.__dict__['__subject'] = subject
if overrides is None:
self.__dict__['overrides'] = dict()
else:
self.__dict__['overrides'] = overrides
# Methods that make this class act like a proxy.
def __getattr__(self, name):
attr = getattr(self.__dict__['__subject'], name)
# Here we check if attr is one of the Wrapper classes. For
# example when a pseudo-builder is being called from an
# OverrideEnvironment.
#
# These wrappers when they're constructed capture the
# Environment they are being constructed with and so will not
# have access to overrided values. So we rebuild them with the
# OverrideEnvironment so they have access to overrided values.
if isinstance(attr, MethodWrapper):
return attr.clone(self)
else:
return attr
def __setattr__(self, name, value):
setattr(self.__dict__['__subject'], name, value)
# Methods that make this class act like a dictionary.
def __getitem__(self, key):
try:
return self.__dict__['overrides'][key]
except KeyError:
return self.__dict__['__subject'].__getitem__(key)
def __setitem__(self, key, value):
if not is_valid_construction_var(key):
raise UserError("Illegal construction variable `%s'" % key)
self.__dict__['overrides'][key] = value
def __delitem__(self, key):
try:
del self.__dict__['overrides'][key]
except KeyError:
deleted = 0
else:
deleted = 1
try:
result = self.__dict__['__subject'].__delitem__(key)
except KeyError:
if not deleted:
raise
result = None
return result
def get(self, key, default=None):
"""Emulates the get() method of dictionaries."""
try:
return self.__dict__['overrides'][key]
except KeyError:
return self.__dict__['__subject'].get(key, default)
def __contains__(self, key):
if key in self.__dict__['overrides']:
return True
return key in self.__dict__['__subject']
def Dictionary(self, *args):
d = self.__dict__['__subject'].Dictionary().copy()
d.update(self.__dict__['overrides'])
if not args:
return d
dlist = [d[x] for x in args]
if len(dlist) == 1:
dlist = dlist[0]
return dlist
def items(self):
"""Emulates the items() method of dictionaries."""
return self.Dictionary().items()
def keys(self):
"""Emulates the keys() method of dictionaries."""
return self.Dictionary().keys()
def values(self):
"""Emulates the values() method of dictionaries."""
return self.Dictionary().values()
def setdefault(self, key, default=None):
"""Emulates the setdefault() method of dictionaries."""
try:
return self.__getitem__(key)
except KeyError:
self.__dict__['overrides'][key] = default
return default
# Overridden private construction environment methods.
def _update(self, other):
self.__dict__['overrides'].update(other)
def _update_onlynew(self, other):
for k, v in other.items():
if k not in self.__dict__['overrides']:
self.__dict__['overrides'][k] = v
def gvars(self):
return self.__dict__['__subject'].gvars()
def lvars(self):
lvars = self.__dict__['__subject'].lvars()
lvars.update(self.__dict__['overrides'])
return lvars
# Overridden public construction environment methods.
def Replace(self, **kw):
kw = copy_non_reserved_keywords(kw)
self.__dict__['overrides'].update(semi_deepcopy(kw))
# The entry point that will be used by the external world
# to refer to a construction environment. This allows the wrapper
# interface to extend a construction environment for its own purposes
# by subclassing SCons.Environment.Base and then assigning the
# class to SCons.Environment.Environment.
Environment = Base
def NoSubstitutionProxy(subject):
"""
An entry point for returning a proxy subclass instance that overrides
the subst*() methods so they don't actually perform construction
variable substitution. This is specifically intended to be the shim
layer in between global function calls (which don't want construction
variable substitution) and the DefaultEnvironment() (which would
substitute variables if left to its own devices).
We have to wrap this in a function that allows us to delay definition of
the class until it's necessary, so that when it subclasses Environment
it will pick up whatever Environment subclass the wrapper interface
might have assigned to SCons.Environment.Environment.
"""
class _NoSubstitutionProxy(Environment):
def __init__(self, subject):
self.__dict__['__subject'] = subject
def __getattr__(self, name):
return getattr(self.__dict__['__subject'], name)
def __setattr__(self, name, value):
return setattr(self.__dict__['__subject'], name, value)
def executor_to_lvars(self, kwdict):
if 'executor' in kwdict:
kwdict['lvars'] = kwdict['executor'].get_lvars()
del kwdict['executor']
else:
kwdict['lvars'] = {}
def raw_to_mode(self, dict):
try:
raw = dict['raw']
except KeyError:
pass
else:
del dict['raw']
dict['mode'] = raw
def subst(self, string, *args, **kwargs):
return string
def subst_kw(self, kw, *args, **kwargs):
return kw
def subst_list(self, string, *args, **kwargs):
nargs = (string, self,) + args
nkw = kwargs.copy()
nkw['gvars'] = {}
self.executor_to_lvars(nkw)
self.raw_to_mode(nkw)
return SCons.Subst.scons_subst_list(*nargs, **nkw)
def subst_target_source(self, string, *args, **kwargs):
nargs = (string, self,) + args
nkw = kwargs.copy()
nkw['gvars'] = {}
self.executor_to_lvars(nkw)
self.raw_to_mode(nkw)
return SCons.Subst.scons_subst(*nargs, **nkw)
return _NoSubstitutionProxy(subject)
# Local Variables:
# tab-width:4
# indent-tabs-mode:nil
# End:
# vim: set expandtab tabstop=4 shiftwidth=4: | PypiClean |
/Cartridge-1.3.4-py3-none-any.whl/cartridge/shop/defaults.py | from socket import gethostname
from django.utils.translation import gettext_lazy as _
from mezzanine.conf import register_setting
####################################################################
# This first set of settings already exists in Mezzanine but can #
# be overridden or appended to here with Cartridge values. #
####################################################################
# Add shop admin modules to the admin menu.
register_setting(
name="ADMIN_MENU_ORDER",
description=_("Controls the ordering and grouping of the admin menu."),
editable=False,
default=(
(
_("Content"),
(
"pages.Page",
"blog.BlogPost",
"generic.ThreadedComment",
(_("Media Library"), "fb_browse"),
),
),
(
_("Shop"),
(
"shop.Product",
"shop.ProductOption",
"shop.DiscountCode",
"shop.Sale",
"shop.Order",
),
),
(_("Site"), ("sites.Site", "redirects.Redirect", "conf.Setting")),
(
_("Users"),
(
"auth.User",
"auth.Group",
),
),
),
)
# Add the product model to the list of search choices.
register_setting(
name="SEARCH_MODEL_CHOICES",
description=_(
"Sequence of models that will be provided by default as "
"choices in the search form. Each model should be in the format "
"``app_label.model_name``. Only models that subclass "
"``mezzanine.core.models.Displayable`` should be used."
),
editable=False,
default=("shop.Product",),
append=True,
)
# Add the checkout URLs prefix to those forced to run over SSL.
# Only relevant if SSL_ENABLED (defined in Mezzanine) is True.
register_setting(
name="SSL_FORCE_URL_PREFIXES",
description="Sequence of URL prefixes that will be forced to run over "
"SSL when ``SSL_ENABLED`` is ``True``. i.e. "
"('/admin', '/example') would force all URLs beginning with "
"/admin or /example to run over SSL.",
editable=False,
default=("/shop/checkout",),
append=True,
)
# Append the Cartridge settings used in templates to the list of settings
# accessible in templates.
register_setting(
name="TEMPLATE_ACCESSIBLE_SETTINGS",
description=_("Sequence of setting names available within templates."),
editable=False,
default=(
"SHOP_CARD_TYPES",
"SHOP_CATEGORY_USE_FEATURED_IMAGE",
"SHOP_CHECKOUT_STEPS_SPLIT",
"SHOP_PAYMENT_STEP_ENABLED",
"SHOP_PRODUCT_SORT_OPTIONS",
"SHOP_USE_RATINGS",
"SHOP_USE_WISHLIST",
"SHOP_USE_RELATED_PRODUCTS",
"SHOP_USE_UPSELL_PRODUCTS",
),
append=True,
)
###########################################
# Remaining settings are all defined by #
# Cartridge, prefixed with "SHOP_". #
###########################################
register_setting(
name="SHOP_CARD_TYPES",
description="Sequence of available credit card types for payment.",
editable=False,
default=("Mastercard", "Visa", "Diners", "Amex"),
)
register_setting(
name="SHOP_CART_EXPIRY_MINUTES",
description="Number of minutes of inactivity until carts are abandoned.",
editable=False,
default=30,
)
register_setting(
name="SHOP_CATEGORY_USE_FEATURED_IMAGE",
description=_("Enable featured images in shop categories"),
editable=False,
default=False,
)
register_setting(
name="SHOP_CHECKOUT_ACCOUNT_REQUIRED",
label=_("Checkout account required"),
description=_("If True, users must create a login for the checkout process."),
editable=True,
default=False,
)
register_setting(
name="SHOP_CHECKOUT_STEPS_SPLIT",
description="If True, the checkout process is split into separate "
"billing/shipping and payment steps.",
editable=False,
default=True,
)
register_setting(
name="SHOP_CHECKOUT_STEPS_CONFIRMATION",
description="If True, the checkout process has a final confirmation "
"step before completion.",
editable=False,
default=True,
)
register_setting(
name="SHOP_PAYMENT_STEP_ENABLED",
label=_("Payment Enabled"),
description=_("If False, there is no payment step on the checkout process."),
editable=False,
default=True,
)
register_setting(
name="SHOP_CURRENCY_LOCALE",
label=_("Currency Locale"),
description="Controls the formatting of monetary values according to "
"the locale module in the python standard library. If an empty "
"string is used, will fall back to the system's locale.",
editable=False,
default="",
translatable=True,
)
register_setting(
name="SHOP_DEFAULT_SHIPPING_VALUE",
label=_("Default Shipping Cost"),
description=_("Default cost of shipping when no custom shipping is implemented."),
editable=True,
default=10.0,
)
register_setting(
name="SHOP_DEFAULT_TAX_RATE",
label=_("Default Tax Rate"),
description=_("Default tax rate in % when no custom tax handling is implemented."),
editable=True,
default=0.0,
)
register_setting(
name="SHOP_DISCOUNT_FIELD_IN_CART",
label=_("Discount in Cart"),
description=_("Discount codes can be entered on the cart page."),
editable=True,
default=True,
)
register_setting(
name="SHOP_DISCOUNT_FIELD_IN_CHECKOUT",
label=_("Discount in Checkout"),
description=_("Discount codes can be entered on the first checkout step."),
editable=True,
default=True,
)
register_setting(
name="SHOP_HANDLER_BILLING_SHIPPING",
label=_("Billing & Shipping Handler"),
description="Dotted package path and class name of the function "
"called upon submission of the billing/shipping checkout step. This "
"is where shipping calculations can be performed and set using the "
"function ``cartridge.shop.utils.set_shipping``.",
editable=False,
default="cartridge.shop.checkout.default_billship_handler",
)
register_setting(
name="SHOP_HANDLER_TAX",
label=_("Tax Handler"),
description="Dotted package path and class name of the function "
"called upon submission of the billing/shipping checkout step. This "
"is where tax calculations can be performed and set using the "
"function ``cartridge.shop.utils.set_tax``.",
editable=False,
default="cartridge.shop.checkout.default_tax_handler",
)
register_setting(
name="SHOP_HANDLER_ORDER",
label=_("Order Handler"),
description="Dotted package path and class name of the function that "
"is called once an order is successful and all of the order "
"object's data has been created. This is where any custom order "
"processing should be implemented.",
editable=False,
default="cartridge.shop.checkout.default_order_handler",
)
register_setting(
name="SHOP_HANDLER_PAYMENT",
label=_("Payment Handler"),
description="Dotted package path and class name of the function that "
"is called upon submission of the payment checkout step. This is "
"where integration with a payment gateway should be implemented.",
editable=False,
default="cartridge.shop.checkout.default_payment_handler",
)
register_setting(
name="SHOP_OPTION_TYPE_CHOICES",
description="Sequence of value/name pairs for types of product options "
"(e.g. Size, Colour).",
editable=False,
default=(
(1, _("Size")),
(2, _("Colour")),
),
)
register_setting(
name="SHOP_OPTION_ADMIN_ORDER",
description="Sequence of indexes from the ``SHOP_OPTION_TYPE_CHOICES`` "
"setting that control how the options should be ordered in the "
"admin, eg given the default for ``SHOP_OPTION_ADMIN_ORDER``, to "
"order by Colour then Size we'd use (2, 1)",
editable=False,
default=(),
)
register_setting(
name="SHOP_ORDER_EMAIL_SUBJECT",
label=_("Order Email Subject"),
description=_("Subject to be used when sending the order receipt email."),
editable=True,
default=_("Order Receipt"),
translatable=True,
)
register_setting(
name="SHOP_ORDER_FROM_EMAIL",
label=_("From Email"),
description=_("Email address from which order receipts should be emailed."),
editable=True,
default="do_not_reply@%s" % gethostname(),
)
register_setting(
name="SHOP_ORDER_EMAIL_BCC",
label=_("BCC receipts to"),
description=_("All order receipts will be BCCd to this address."),
editable=True,
default="",
)
register_setting(
name="SHOP_ORDER_STATUS_CHOICES",
description="Sequence of value/name pairs for order statuses.",
editable=False,
default=(
(1, _("Unprocessed")),
(2, _("Processed")),
),
)
register_setting(
name="SHOP_PER_PAGE_CATEGORY",
label=_("Products Per Category Page"),
description=_("Number of products to display per category page."),
editable=True,
default=12,
)
register_setting(
name="SHOP_PRODUCT_SORT_OPTIONS",
description="Sequence of description/field+direction pairs defining "
"the options available for sorting a list of products.",
editable=False,
default=(
(_("Recently added"), "-date_added"),
(_("Highest rated"), "-rating_average"),
(_("Least expensive"), "unit_price"),
(_("Most expensive"), "-unit_price"),
),
)
register_setting(
name="SHOP_TAX_INCLUDED",
label=_("Tax included"),
description="If True, tax is already included in a product's price.",
editable=False,
default=False,
)
register_setting(
name="SHOP_USE_VARIATIONS",
label=_("Use product variations"),
description="Use product variations.",
editable=False,
default=True,
)
register_setting(
name="SHOP_USE_RATINGS",
label=_("Use product ratings"),
description="Show the product rating form, and allow browsing by rating.",
editable=False,
default=True,
)
register_setting(
name="SHOP_USE_WISHLIST",
label=_("Use product wishlist"),
description="Show the links to the wishlist, and allow adding products to it.",
editable=False,
default=True,
)
register_setting(
name="SHOP_USE_RELATED_PRODUCTS",
label=_("Use related products"),
description="Show related products in templates, and allow "
"editing them in the admin.",
editable=False,
default=True,
)
register_setting(
name="SHOP_USE_UPSELL_PRODUCTS",
label=_("Use upsell products"),
description="Show upsell products in templates, and allow "
"editing them in the admin.",
editable=False,
default=True,
) | PypiClean |
/CellProfiler-4.2.6.tar.gz/CellProfiler-4.2.6/cellprofiler/modules/maskobjects.py | import matplotlib.cm
import numpy
import scipy.ndimage
from cellprofiler_core.constants.measurement import (
COLTYPE_INTEGER,
FF_PARENT,
FF_CHILDREN_COUNT,
)
from cellprofiler_core.module import Identify
from cellprofiler_core.object import Objects
from cellprofiler_core.preferences import get_primary_outline_color
from cellprofiler_core.preferences import get_secondary_outline_color
from cellprofiler_core.setting import Binary
from cellprofiler_core.setting.choice import Choice
from cellprofiler_core.setting.subscriber import LabelSubscriber, ImageSubscriber
from cellprofiler_core.setting.text import Float, LabelName
from cellprofiler_core.utilities.core.module.identify import (
add_object_count_measurements,
add_object_location_measurements,
get_object_measurement_columns,
)
from cellprofiler_core.utilities.core.object import size_similarly
from centrosome.cpmorphology import fixup_scipy_ndimage_result
from centrosome.outline import outline
from cellprofiler.modules import _help
__doc__ = """\
MaskObjects
===========
**MaskObjects** removes objects outside of a specified region or
regions.
This module allows you to delete the objects or portions of objects that
are outside of a region (mask) you specify. For example, after
identifying nuclei and tissue regions in previous **Identify** modules,
you might want to exclude all nuclei that are outside of a tissue
region.
If using a masking image, the mask is composed of the foreground (white
portions); if using a masking object, the mask is composed of the area
within the object. You can choose to remove only the portion of each
object that is outside of the region, remove the whole object if it is
partially or fully outside of the region, or retain the whole object
unless it is fully outside of the region.
|
============ ============ ===============
Supports 2D? Supports 3D? Respects masks?
============ ============ ===============
YES NO YES
============ ============ ===============
See also
^^^^^^^^
{HELP_ON_SAVING_OBJECTS}
Measurements made by this module
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
**Parent object measurements:**
- *Count:* The number of new masked objects created from each parent
object.
**Masked object measurements:**
- *Parent:* The label number of the parent object.
- *Location_X, Location_Y:* The pixel (X,Y) coordinates of the center
of mass of the masked objects.
""".format(
**{"HELP_ON_SAVING_OBJECTS": _help.HELP_ON_SAVING_OBJECTS}
)
MC_OBJECTS = "Objects"
MC_IMAGE = "Image"
P_MASK = "Keep overlapping region"
P_REMOVE = "Remove"
P_KEEP = "Keep"
P_REMOVE_PERCENTAGE = "Remove depending on overlap"
R_RETAIN = "Retain"
R_RENUMBER = "Renumber"
# This dictionary is used by upgrade_settings to keep track of changes
# to the above names. If you change them, please put the text of the
# new names into the dictionary.
S_DICTIONARY = {
"Objects": MC_OBJECTS,
"Image": MC_IMAGE,
"Keep overlapping region": P_MASK,
"Remove": P_REMOVE,
"Remove depending on overlap": P_REMOVE_PERCENTAGE,
"Keep": P_KEEP,
"Retain": R_RETAIN,
"Renumber": R_RENUMBER,
}
def s_lookup(x):
"""Look up the current value for a setting choice w/backwards compatibility
x - setting value from pipeline
"""
return S_DICTIONARY.get(x, x)
class MaskObjects(Identify):
category = "Object Processing"
module_name = "MaskObjects"
variable_revision_number = 3
def create_settings(self):
"""Create the settings that control this module"""
self.object_name = LabelSubscriber(
"Select objects to be masked",
"None",
doc="""\
Select the objects that will be masked (that is, excluded in whole or in
part based on the other settings in the module). You can choose from any
objects created by a previous object processing module, such as
**IdentifyPrimaryObjects**, **IdentifySecondaryObjects** or
**IdentifyTertiaryObjects**.
""",
)
self.remaining_objects = LabelName(
"Name the masked objects",
"MaskedNuclei",
doc="""\
Enter a name for the objects that remain after
the masking operation. You can refer to the masked objects in
subsequent modules by this name.
""",
)
self.mask_choice = Choice(
"Mask using a region defined by other objects or by binary image?",
[MC_OBJECTS, MC_IMAGE],
doc="""\
You can mask your objects by defining a region using objects you
previously identified in your pipeline (*%(MC_OBJECTS)s*) or by
defining a region based on the white regions in a binary image
previously loaded or created in your pipeline (*%(MC_IMAGE)s*).
"""
% globals(),
)
self.masking_objects = LabelSubscriber(
"Select the masking object",
"None",
doc="""\
*(Used only if mask is to be made from objects)*
Select the objects that will be used to define the masking region. You
can choose from any objects created by a previous object processing
module, such as **IdentifyPrimaryObjects**,
**IdentifySecondaryObjects**, or **IdentifyTertiaryObjects**.
""",
)
self.masking_image = ImageSubscriber(
"Select the masking image",
"None",
doc="""\
*(Used only if mask is to be made from an image)*
Select an image that was either loaded or created by a previous module.
The image should be a binary image where the white portion of the image
is the region(s) you will use for masking. Binary images can be loaded
from disk using the **NamesAndTypes** module by selecting “Binary mask”
for the image type. You can also create a binary image from a grayscale
image using **ApplyThreshold**.
""",
)
self.wants_inverted_mask = Binary(
"Invert the mask?",
False,
doc="""\
This option reverses the foreground/background relationship of the mask.
- Select "*No*" for the mask to be composed of the foreground (white
portion) of the masking image or the area within the masking objects.
- Select "*Yes*" for the mask to instead be composed of the
*background* (black portions) of the masking image or the area
*outside* the masking objects.
"""
% globals(),
)
self.overlap_choice = Choice(
"Handling of objects that are partially masked",
[P_MASK, P_KEEP, P_REMOVE, P_REMOVE_PERCENTAGE],
doc="""\
An object might partially overlap the mask region, with pixels both
inside and outside the region. **MaskObjects** can handle this in one
of three ways:
- *%(P_MASK)s:* Choosing this option will reduce the size of partially
overlapping objects. The part of the object that overlaps the masking
region will be retained. The part of the object that is outside of the
masking region will be removed.
- *%(P_KEEP)s:* If you choose this option, **MaskObjects** will keep
the whole object if any part of it overlaps the masking region.
- *%(P_REMOVE)s:* Objects that are partially outside of the masking
region will be completely removed if you choose this option.
- *%(P_REMOVE_PERCENTAGE)s:* Determine whether to remove or keep an
object depending on how much of the object overlaps the masking
region. **MaskObjects** will keep an object if at least a certain
fraction (which you enter below) of the object falls within the
masking region. **MaskObjects** completely removes the object if too
little of it overlaps the masking region."""
% globals(),
)
self.overlap_fraction = Float(
"Fraction of object that must overlap",
0.5,
minval=0,
maxval=1,
doc="""\
*(Used only if removing based on overlap)*
Specify the minimum fraction of an object that must overlap the masking
region for that object to be retained. For instance, if the fraction is
0.75, then 3/4 of an object must be within the masking region for that
object to be retained.
""",
)
self.retain_or_renumber = Choice(
"Numbering of resulting objects",
[R_RENUMBER, R_RETAIN],
doc="""\
Choose how to number the objects that remain after masking, which
controls how remaining objects are associated with their predecessors:
- *%(R_RENUMBER)s:* The objects that remain will be renumbered using
consecutive numbers. This is a good choice if you do not plan to use
measurements from the original objects; your object measurements for
the masked objects will not have gaps (where removed objects are
missing).
- *%(R_RETAIN)s:* The original labels for the objects will be
retained. This allows any measurements you make from the masked
objects to be directly aligned with measurements you might have made
of the original, unmasked objects (or objects directly associated
with them).
"""
% globals(),
)
def settings(self):
"""The settings as they appear in the pipeline"""
return [
self.object_name,
self.remaining_objects,
self.mask_choice,
self.masking_objects,
self.masking_image,
self.overlap_choice,
self.overlap_fraction,
self.retain_or_renumber,
self.wants_inverted_mask,
]
def help_settings(self):
"""The settings as they appear in the pipeline"""
return [
self.object_name,
self.remaining_objects,
self.mask_choice,
self.masking_objects,
self.masking_image,
self.wants_inverted_mask,
self.overlap_choice,
self.overlap_fraction,
self.retain_or_renumber,
]
def visible_settings(self):
"""The settings as they appear in the UI"""
result = [
self.object_name,
self.remaining_objects,
self.mask_choice,
self.masking_image
if self.mask_choice == MC_IMAGE
else self.masking_objects,
self.wants_inverted_mask,
self.overlap_choice,
]
if self.overlap_choice == P_REMOVE_PERCENTAGE:
result += [self.overlap_fraction]
result += [self.retain_or_renumber]
return result
def run(self, workspace):
"""Run the module on an image set"""
object_name = self.object_name.value
remaining_object_name = self.remaining_objects.value
original_objects = workspace.object_set.get_objects(object_name)
if self.mask_choice == MC_IMAGE:
mask = workspace.image_set.get_image(
self.masking_image.value, must_be_binary=True
)
mask = mask.pixel_data
else:
masking_objects = workspace.object_set.get_objects(
self.masking_objects.value
)
mask = masking_objects.segmented > 0
if self.wants_inverted_mask:
mask = ~mask
#
# Load the labels
#
labels = original_objects.segmented.copy()
nobjects = numpy.max(labels)
#
# Resize the mask to cover the objects
#
mask, m1 = size_similarly(labels, mask)
mask[~m1] = False
#
# Apply the mask according to the overlap choice.
#
if nobjects == 0:
pass
elif self.overlap_choice == P_MASK:
labels = labels * mask
else:
pixel_counts = fixup_scipy_ndimage_result(
scipy.ndimage.sum(
mask, labels, numpy.arange(1, nobjects + 1, dtype=numpy.int32)
)
)
if self.overlap_choice == P_KEEP:
keep = pixel_counts > 0
else:
total_pixels = fixup_scipy_ndimage_result(
scipy.ndimage.sum(
numpy.ones(labels.shape),
labels,
numpy.arange(1, nobjects + 1, dtype=numpy.int32),
)
)
if self.overlap_choice == P_REMOVE:
keep = pixel_counts == total_pixels
elif self.overlap_choice == P_REMOVE_PERCENTAGE:
fraction = self.overlap_fraction.value
keep = pixel_counts / total_pixels >= fraction
else:
raise NotImplementedError(
"Unknown overlap-handling choice: %s", self.overlap_choice.value
)
keep = numpy.hstack(([False], keep))
labels[~keep[labels]] = 0
#
# Renumber the labels matrix if requested
#
if self.retain_or_renumber == R_RENUMBER:
unique_labels = numpy.unique(labels[labels != 0])
indexer = numpy.zeros(nobjects + 1, int)
indexer[unique_labels] = numpy.arange(1, len(unique_labels) + 1)
labels = indexer[labels]
parent_objects = unique_labels
else:
parent_objects = numpy.arange(1, nobjects + 1)
#
# Add the objects
#
remaining_objects = Objects()
remaining_objects.segmented = labels
remaining_objects.unedited_segmented = original_objects.unedited_segmented
workspace.object_set.add_objects(remaining_objects, remaining_object_name)
#
# Add measurements
#
m = workspace.measurements
m.add_measurement(
remaining_object_name, FF_PARENT % object_name, parent_objects,
)
if numpy.max(original_objects.segmented) == 0:
child_count = numpy.array([], int)
else:
child_count = fixup_scipy_ndimage_result(
scipy.ndimage.sum(
labels,
original_objects.segmented,
numpy.arange(1, nobjects + 1, dtype=numpy.int32),
)
)
child_count = (child_count > 0).astype(int)
m.add_measurement(
object_name, FF_CHILDREN_COUNT % remaining_object_name, child_count,
)
if self.retain_or_renumber == R_RETAIN:
remaining_object_count = nobjects
else:
remaining_object_count = len(unique_labels)
add_object_count_measurements(m, remaining_object_name, remaining_object_count)
add_object_location_measurements(m, remaining_object_name, labels)
#
# Save the input, mask and output images for display
#
if self.show_window:
workspace.display_data.original_labels = original_objects.segmented
workspace.display_data.final_labels = labels
workspace.display_data.mask = mask
def display(self, workspace, figure):
"""Create an informative display for the module"""
import matplotlib
original_labels = workspace.display_data.original_labels
final_labels = workspace.display_data.final_labels
mask = workspace.display_data.mask
#
# Create a composition of the final labels and mask
#
outlines = outline(original_labels) > 0
cm = figure.return_cmap(numpy.max(original_labels))
sm = matplotlib.cm.ScalarMappable(cmap=cm)
#
# Paint the labels in color
#
image = sm.to_rgba(final_labels, norm=False)[:, :, :3]
image[final_labels == 0, :] = 0
#
# Make the mask a dark gray
#
image[(final_labels == 0) & mask, :] = 0.25
#
# Make the outlines of the kept objects the primary color
# and the outlines of removed objects red.
#
final_outlines = outline(final_labels) > 0
original_color = numpy.array(get_secondary_outline_color()[0:3], float) / 255
final_color = numpy.array(get_primary_outline_color()[0:3], float) / 255
image[outlines, :] = original_color[numpy.newaxis, :]
image[final_outlines, :] = final_color[numpy.newaxis, :]
figure.set_subplots((2, 1))
figure.subplot_imshow_labels(
0, 0, original_labels, title=self.object_name.value, colormap=sm,
)
figure.subplot_imshow_color(
1,
0,
image,
title=self.remaining_objects.value,
sharexy=figure.subplot(0, 0),
colormap=sm,
)
def get_measurement_columns(self, pipeline):
"""Return column definitions for measurements made by this module"""
object_name = self.object_name.value
remaining_object_name = self.remaining_objects.value
columns = get_object_measurement_columns(self.remaining_objects.value)
columns += [
(object_name, FF_CHILDREN_COUNT % remaining_object_name, COLTYPE_INTEGER,),
(remaining_object_name, FF_PARENT % object_name, COLTYPE_INTEGER,),
]
return columns
def get_categories(self, pipeline, object_name):
"""Return the categories of measurements that this module produces
object_name - return measurements made on this object (or 'Image' for image measurements)
"""
object_dictionary = self.get_object_dictionary()
return self.get_object_categories(pipeline, object_name, object_dictionary)
def get_object_dictionary(self):
"""Get the dictionary of parent child relationships
see Identify.get_object_categories, Identify.get_object_measurements
"""
object_dictionary = {self.remaining_objects.value: [self.object_name.value]}
return object_dictionary
def get_measurements(self, pipeline, object_name, category):
"""Return names of the measurements made by this module
pipeline - pipeline being run
object_name - object being measured (or Image)
category - category of measurement, for instance, "Location"
"""
return self.get_object_measurements(
pipeline, object_name, category, self.get_object_dictionary()
)
def validate_module(self, pipeline):
"""Bypass Identify.validate_module"""
pass
def upgrade_settings(self, setting_values, variable_revision_number, module_name):
if variable_revision_number == 1:
# Added "wants_inverted_mask"
setting_values = setting_values + ["No"]
variable_revision_number = 2
if variable_revision_number == 2:
setting_values = setting_values[:-3] + setting_values[-1:]
variable_revision_number = 3
setting_values = list(setting_values)
setting_values[5] = s_lookup(setting_values[5])
setting_values[7] = s_lookup(setting_values[7])
return setting_values, variable_revision_number | PypiClean |
/FEV_KEGG-1.1.4.tar.gz/FEV_KEGG-1.1.4/FEV_KEGG/Drawing/Export.py | from FEV_KEGG.Graph import Models
import networkx.classes
import os
from enum import Enum
from FEV_KEGG.Graph.SubstanceGraphs import SubstanceEcGraph
import math
from FEV_KEGG import settings
LABEL_NAME = 'custom_label'
"""
Name of the attribute of the graph to be used for storing the label.
"""
COLOUR_NAME = 'colour'
"""
Name of the attribute of the graph to be used for storing the colour.
"""
DESCRIPTION_NAME = 'custom_description'
"""
Name of the attribute of the graph to be used for storing the description.
"""
ID_NAME = 'custom_id'
"""
Name of the attribute of the graph to be used for storing the id.
"""
REACTION_NAME = 'custom_reaction'
"""
Name of the attribute of the graph to be used for storing the reaction.
"""
MAJORITY_NAME = 'custom_majority'
"""
Name of the attribute of the graph to be used for storing the majority percentage.
"""
URL_NAME = 'URL'
"""
Name of the attribute of the graph to be used for storing the URL.
"""
def addLabelAttribute(nxGraph: networkx.classes.MultiGraph):
"""
Adds the "custom_label" attribute to each node and edge.
Add an attribute to nodes and edges called "custom_label" (see module variable :attr:`LABEL_NAME`) containing the string of the node's label, or the edge's key's label, repectively.
A label is defined as either the `.name` field, or if that is *None*, the id.
This is especially useful if the tool you import this file into does not regularly read the XML's id parameter. For example, Cytoscape does not for edges.
Parameters
----------
nxGraph : networkx.classes.MultiGraph
A NetworkX graph object.
"""
if not isinstance(nxGraph, networkx.classes.graph.Graph):
raise NotImplementedError()
# add label to edges
edges = nxGraph.edges(keys = True)
attributeDict = dict()
for edge in edges:
try:
name = edge[2].name
except AttributeError:
name = None
attributeDict[edge] = name if name is not None else edge[2].__str__()
networkx.set_edge_attributes(nxGraph, attributeDict, LABEL_NAME)
# add label to nodes
nodes = nxGraph.nodes
attributeDict = dict()
for node in nodes:
try:
name = node.name
except AttributeError:
name = None
attributeDict[node] = name if name is not None else node.__str__()
networkx.set_node_attributes(nxGraph, attributeDict, LABEL_NAME)
def addIdAttribute(nxGraph: networkx.classes.MultiGraph):
"""
Adds the "custom_id" attribute to each node and edge.
Add an attribute to nodes and edges called "custom_id" (see module variable :attr:`ID_NAME`) containing the string of the node's id, or the edge's key's id, repectively.
Parameters
----------
nxGraph : networkx.classes.MultiGraph
A NetworkX graph object.
"""
if not isinstance(nxGraph, networkx.classes.graph.Graph):
raise NotImplementedError()
# add label to edges
edges = nxGraph.edges(keys = True)
attributeDict = dict()
for edge in edges:
attributeDict[edge] = edge[2].__str__()
networkx.set_edge_attributes(nxGraph, attributeDict, ID_NAME)
# add label to nodes
nodes = nxGraph.nodes
attributeDict = dict()
for node in nodes:
attributeDict[node] = node.__str__()
networkx.set_node_attributes(nxGraph, attributeDict, ID_NAME)
def addDescriptionAttribute(nxGraph: networkx.classes.MultiGraph):
"""
Adds the "custom_description" attribute to each node and edge.
Add an attribute to nodes and edges called "custom_description" (see module variable :attr:`DESCRIPTION_NAME`) containing the node's or edge's `.description` field, if there is any.
Parameters
----------
nxGraph : networkx.classes.MultiGraph
A NetworkX graph object.
"""
if not isinstance(nxGraph, networkx.classes.graph.Graph):
raise NotImplementedError()
# add description to edges
edges = nxGraph.edges(keys = True)
attributeDict = dict()
for edge in edges:
try:
attributeDict[edge] = edge[2].description if edge[2].description is not None else ''
except AttributeError:
continue
networkx.set_edge_attributes(nxGraph, attributeDict, DESCRIPTION_NAME)
# add description to nodes
nodes = nxGraph.nodes
attributeDict = dict()
for node in nodes:
try:
attributeDict[node] = node.description if node.description is not None else ''
except AttributeError:
continue
networkx.set_node_attributes(nxGraph, attributeDict, DESCRIPTION_NAME)
def addReactionAttribute(nxGraph: networkx.classes.MultiGraph):
"""
Adds the "custom_reaction" attribute to each edge.
Add an attribute to edges called "custom_reaction" (see module variable :attr:`REACTION_NAME`) containing the edge's `.reaction` field, if there is any.
Parameters
----------
nxGraph : networkx.classes.MultiGraph
A NetworkX graph object.
"""
if not isinstance(nxGraph, networkx.classes.graph.Graph):
raise NotImplementedError()
# add reaction to edges
edges = nxGraph.edges(keys = True)
attributeDict = dict()
for edge in edges:
try:
attributeDict[edge] = edge[2].reaction if edge[2].reaction is not None else ''
except AttributeError:
continue
networkx.set_edge_attributes(nxGraph, attributeDict, REACTION_NAME)
def addMajorityAttribute(graph: Models.CommonGraphApi, totalNumberOfOrganisms: int):
"""
Adds the "custom_majority" attribute to each node and edge.
Add an attribute to nodes and edges called "custom_majority" (see module variable :attr:`MAJORITY_NAME`).
It contains each node's or edge's majority percentage, if the graph contains counts (`graph.nodeCounts` or `graph.edgeCounts`, see :class:`FEV_KEGG.Graph.Models.CommonGraphApi`).
For example, say edge A were to occur in 52 of all organisms used to create the `graph`, then ```graph.edgeCounts[A] == 52```.
Now we have also ```totalNumberOfOrganisms == 76```. Then, we will write ```ceil(52/76*100) = 68``` into the "custom_majority" attribute.
Parameters
----------
graph : Models.CommonGraphApi
A graph object.
totalNumberOfOrganisms : int
Total number of organisms which were involved in creating the `graph`. This is used to calculate the percentage of counts. 100% == `totalNumberOfOrganisms`.
"""
nxGraph = graph.underlyingRawGraph
if not isinstance(nxGraph, networkx.classes.graph.Graph):
raise NotImplementedError("This graph model can not be annotated for majority, yet.")
# add majority to edges
if graph.edgeCounts is not None:
attributeDict = dict()
for edge in graph.getEdges():
attributeDict[edge] = math.ceil(graph.edgeCounts.get(edge, 0) / totalNumberOfOrganisms * 100)
networkx.set_edge_attributes(nxGraph, attributeDict, MAJORITY_NAME)
# add majority to nodes
if graph.nodeCounts is not None:
attributeDict = dict()
for node in graph.getNodes():
attributeDict[node] = math.ceil(graph.nodeCounts.get(node, 0) / totalNumberOfOrganisms * 100)
networkx.set_node_attributes(nxGraph, attributeDict, MAJORITY_NAME)
def addUrlAttribute(nxGraph: networkx.classes.MultiGraph):
"""
Adds the "URL" attribute to each edge.
Add an attribute to edges called "URL" (see module variable :attr:`URL_NAME`) containing the edge's or node's URL to KEGG.
Parameters
----------
nxGraph : networkx.classes.MultiGraph
A NetworkX graph object.
"""
if not isinstance(nxGraph, networkx.classes.graph.Graph):
raise NotImplementedError()
# add label to edges
edges = nxGraph.edges(keys = True)
attributeDict = dict()
for edge in edges:
attributeDict[edge] = edge[2].getUrl() if edge[2].getUrl() is not None else ''
networkx.set_edge_attributes(nxGraph, attributeDict, URL_NAME)
# add label to nodes
nodes = nxGraph.nodes
attributeDict = dict()
for node in nodes:
attributeDict[node] = node.getUrl() if node.getUrl() is not None else ''
networkx.set_node_attributes(nxGraph, attributeDict, URL_NAME)
class Colour(Enum):
BLUE = '#4444FF'
RED = '#FF5555'
PINK = '#FF66FF'
GREEN = '#55FF55'
YELLOW = '#FFFF55'
TURQUOISE = '#55FFFF'
def addColourAttribute(graph: Models.CommonGraphApi, colour : Colour, nodes = False, edges = False):
"""
Adds the "colour" attribute to selected nodes/edges.
If both, `nodes` and `edges` are *False*, nothing is coloured.
Adds an attribute to nodes and edges called "colour" (see module variable :attr:`COLOUR_NAME`) containing the string of a hex value of a colour in RGB, see :class:`Colour`.
Parameters
----------
graph : Models.CommonGraphApi
A graph object.
colour : Colour
Colour to use.
nodes : Iterable[NodeView] or bool, optional
Nodes to be coloured, i.e. annotated with the "colour" attribute containing `colour`. If *True*, all nodes are coloured.
edges : Iterable[EdgeView] or bool, optional
Edges to be coloured, i.e. annotated with the "colour" attribute containing `colour`. If *True*, all edges are coloured.
Warnings
----
Any operation on the resulting graph, e.g. :func:`FEV_KEGG.Graph.Models.CommonGraphApi.intersection`, removes the colouring. It actually removes all attributes.
"""
nxGraph = graph.underlyingRawGraph
if not isinstance(nxGraph, networkx.classes.graph.Graph):
raise NotImplementedError("This graph model can not be coloured, yet.")
# add color to edges
if edges is not False:
# colour something
if edges is True:
# colour everything
edgesToColour = nxGraph.edges
else:
# colour what is in `edges`
edgesToColour = edges
attributeDict = dict()
for edge in edgesToColour:
attributeDict[edge] = colour.value
networkx.set_edge_attributes(nxGraph, attributeDict, COLOUR_NAME)
# add color to nodes
if nodes is not False:
# colour something
if nodes is True:
# colour everything
nodesToColour = nxGraph.nodes
else:
# colour what is in `nodes`
nodesToColour = nodes
attributeDict = dict()
for node in nodesToColour:
attributeDict[node] = colour.value
networkx.set_node_attributes(nxGraph, attributeDict, COLOUR_NAME)
def toGraphML(graph: Models.CommonGraphApi, file, inCacheFolder = False):
"""
Export `graph` to `file` in GraphML format.
Each of the graph element's attributes is translated into a column.
Parameters
----------
graph : Models.CommonGraphApi
The graph to be exported.
file : str
Path and name of the exported file. See `inCacheFolder`.
inCacheFolder : bool, optional
If *True*, interpret `file` relative to the cache folder. See :attr:`FEV_KEGG.settings.cachePath`.
If *False*, interpret `file` relative to the current working directory.
Raises
------
NotImplementedError
If `graph` is not of a NetworkX type.
"""
nxGraph = graph.underlyingRawGraph
if isinstance(nxGraph, networkx.classes.graph.Graph):
if inCacheFolder is True:
file = os.path.join(settings.cachePath, file)
dirName = os.path.dirname(file)
if not os.path.isdir(dirName) and dirName != '':
os.makedirs(os.path.dirname(file))
networkx.write_graphml(nxGraph, file + '.graphml', prettyprint=False)
else:
raise NotImplementedError()
def toGML(graph: Models.CommonGraphApi, file, inCacheFolder = False):
"""
Export `graph` to `file` in GML format.
Each of the graph element's attributes is translated into a column.
Parameters
----------
graph : Models.CommonGraphApi
The graph to be exported.
file : str
Path and name of the exported file. See `inCacheFolder`.
inCacheFolder : bool, optional
If *True*, interpret `file` relative to the cache folder. See :attr:`FEV_KEGG.settings.cachePath`.
If *False*, interpret `file` relative to the current working directory.
Raises
------
NotImplementedError
If `graph` is not of a NetworkX type.
"""
nxGraph = graph.underlyingRawGraph
if isinstance(nxGraph, networkx.classes.graph.Graph):
if inCacheFolder is True:
file = os.path.join(settings.cachePath, file)
dirName = os.path.dirname(file)
if not os.path.isdir(dirName) and dirName != '':
os.makedirs(os.path.dirname(file))
networkx.write_gml(nxGraph, file + '.gml', lambda x: x.__str__())
else:
raise NotImplementedError()
def forCytoscape(graph: Models.CommonGraphApi, file, inCacheFolder = False, addDescriptions = True, totalNumberOfOrganisms: int = None):
"""
Export `graph` to `file` in GraphML format, including some tweaks for Cytoscape.
Parameters
----------
graph : Models.CommonGraphApi
The graph to be exported.
file : str
Path and name of the exported file. See `inCacheFolder`.
inCacheFolder : bool, optional
If *True*, interpret `file` relative to the cache folder. See :attr:`FEV_KEGG.settings.cachePath`.
If *False*, interpret `file` relative to the current working directory.
addDescriptions : bool, optional
If *True*, downloads additional descriptions for substance
totalNumberOfOrganisms : int, optional
Total number of organisms which were involved in creating the `graph`. This is used to calculate the percentage of counts. 100% == `totalNumberOfOrganisms`.
If *None*, no majority attribute is added. Only relevant if `graph` has counts, which it usually does not.
See :func:`addMajorityAttribute` for more info.
Raises
------
NotImplementedError
If `graph` is not of a NetworkX type.
Warnings
--------
Adding extra descriptions, when `addDescriptions` == *True* (default!) is a lengthy process and can take some minutes.
"""
# fetch extra descriptions, so they can be saved in attributes
if addDescriptions is True:
graph.addSubstanceDescriptions()
if isinstance(graph, SubstanceEcGraph):
graph.addEcDescriptions()
# add certain attributes to the graph, so they can be stored in the resulting XML
addLabelAttribute(graph.underlyingRawGraph)
addIdAttribute(graph.underlyingRawGraph)
addDescriptionAttribute(graph.underlyingRawGraph)
addUrlAttribute(graph.underlyingRawGraph)
if addDescriptions is True and isinstance(graph, SubstanceEcGraph):
addReactionAttribute(graph.underlyingRawGraph)
if totalNumberOfOrganisms is not None:
addMajorityAttribute(graph, totalNumberOfOrganisms)
toGraphML(graph, file, inCacheFolder=inCacheFolder) | PypiClean |
/FITS_tools-0.2.tar.gz/FITS_tools-0.2/astropy_helpers/astropy_helpers/utils.py | from __future__ import absolute_import, unicode_literals
import contextlib
import functools
import imp
import inspect
import os
import sys
import glob
import textwrap
import types
import warnings
try:
from importlib import machinery as import_machinery
# Python 3.2 does not have SourceLoader
if not hasattr(import_machinery, 'SourceLoader'):
import_machinery = None
except ImportError:
import_machinery = None
# Python 3.3's importlib caches filesystem reads for faster imports in the
# general case. But sometimes it's necessary to manually invalidate those
# caches so that the import system can pick up new generated files. See
# https://github.com/astropy/astropy/issues/820
if sys.version_info[:2] >= (3, 3):
from importlib import invalidate_caches
else:
def invalidate_caches():
return None
# Python 2/3 compatibility
if sys.version_info[0] < 3:
string_types = (str, unicode) # noqa
else:
string_types = (str,)
# Note: The following Warning subclasses are simply copies of the Warnings in
# Astropy of the same names.
class AstropyWarning(Warning):
"""
The base warning class from which all Astropy warnings should inherit.
Any warning inheriting from this class is handled by the Astropy logger.
"""
class AstropyDeprecationWarning(AstropyWarning):
"""
A warning class to indicate a deprecated feature.
"""
class AstropyPendingDeprecationWarning(PendingDeprecationWarning,
AstropyWarning):
"""
A warning class to indicate a soon-to-be deprecated feature.
"""
def _get_platlib_dir(cmd):
"""
Given a build command, return the name of the appropriate platform-specific
build subdirectory directory (e.g. build/lib.linux-x86_64-2.7)
"""
plat_specifier = '.{0}-{1}'.format(cmd.plat_name, sys.version[0:3])
return os.path.join(cmd.build_base, 'lib' + plat_specifier)
def get_numpy_include_path():
"""
Gets the path to the numpy headers.
"""
# We need to go through this nonsense in case setuptools
# downloaded and installed Numpy for us as part of the build or
# install, since Numpy may still think it's in "setup mode", when
# in fact we're ready to use it to build astropy now.
if sys.version_info[0] >= 3:
import builtins
if hasattr(builtins, '__NUMPY_SETUP__'):
del builtins.__NUMPY_SETUP__
import imp
import numpy
imp.reload(numpy)
else:
import __builtin__
if hasattr(__builtin__, '__NUMPY_SETUP__'):
del __builtin__.__NUMPY_SETUP__
import numpy
reload(numpy)
try:
numpy_include = numpy.get_include()
except AttributeError:
numpy_include = numpy.get_numpy_include()
return numpy_include
class _DummyFile(object):
"""A noop writeable object."""
errors = '' # Required for Python 3.x
def write(self, s):
pass
def flush(self):
pass
@contextlib.contextmanager
def silence():
"""A context manager that silences sys.stdout and sys.stderr."""
old_stdout = sys.stdout
old_stderr = sys.stderr
sys.stdout = _DummyFile()
sys.stderr = _DummyFile()
exception_occurred = False
try:
yield
except:
exception_occurred = True
# Go ahead and clean up so that exception handling can work normally
sys.stdout = old_stdout
sys.stderr = old_stderr
raise
if not exception_occurred:
sys.stdout = old_stdout
sys.stderr = old_stderr
if sys.platform == 'win32':
import ctypes
def _has_hidden_attribute(filepath):
"""
Returns True if the given filepath has the hidden attribute on
MS-Windows. Based on a post here:
http://stackoverflow.com/questions/284115/cross-platform-hidden-file-detection
"""
if isinstance(filepath, bytes):
filepath = filepath.decode(sys.getfilesystemencoding())
try:
attrs = ctypes.windll.kernel32.GetFileAttributesW(filepath)
assert attrs != -1
result = bool(attrs & 2)
except (AttributeError, AssertionError):
result = False
return result
else:
def _has_hidden_attribute(filepath):
return False
def is_path_hidden(filepath):
"""
Determines if a given file or directory is hidden.
Parameters
----------
filepath : str
The path to a file or directory
Returns
-------
hidden : bool
Returns `True` if the file is hidden
"""
name = os.path.basename(os.path.abspath(filepath))
if isinstance(name, bytes):
is_dotted = name.startswith(b'.')
else:
is_dotted = name.startswith('.')
return is_dotted or _has_hidden_attribute(filepath)
def walk_skip_hidden(top, onerror=None, followlinks=False):
"""
A wrapper for `os.walk` that skips hidden files and directories.
This function does not have the parameter `topdown` from
`os.walk`: the directories must always be recursed top-down when
using this function.
See also
--------
os.walk : For a description of the parameters
"""
for root, dirs, files in os.walk(
top, topdown=True, onerror=onerror,
followlinks=followlinks):
# These lists must be updated in-place so os.walk will skip
# hidden directories
dirs[:] = [d for d in dirs if not is_path_hidden(d)]
files[:] = [f for f in files if not is_path_hidden(f)]
yield root, dirs, files
def write_if_different(filename, data):
"""Write `data` to `filename`, if the content of the file is different.
Parameters
----------
filename : str
The file name to be written to.
data : bytes
The data to be written to `filename`.
"""
assert isinstance(data, bytes)
if os.path.exists(filename):
with open(filename, 'rb') as fd:
original_data = fd.read()
else:
original_data = None
if original_data != data:
with open(filename, 'wb') as fd:
fd.write(data)
def import_file(filename, name=None):
"""
Imports a module from a single file as if it doesn't belong to a
particular package.
The returned module will have the optional ``name`` if given, or else
a name generated from the filename.
"""
# Specifying a traditional dot-separated fully qualified name here
# results in a number of "Parent module 'astropy' not found while
# handling absolute import" warnings. Using the same name, the
# namespaces of the modules get merged together. So, this
# generates an underscore-separated name which is more likely to
# be unique, and it doesn't really matter because the name isn't
# used directly here anyway.
mode = 'U' if sys.version_info[0] < 3 else 'r'
if name is None:
basename = os.path.splitext(filename)[0]
name = '_'.join(os.path.relpath(basename).split(os.sep)[1:])
if import_machinery:
loader = import_machinery.SourceFileLoader(name, filename)
mod = loader.load_module()
else:
with open(filename, mode) as fd:
mod = imp.load_module(name, fd, filename, ('.py', mode, 1))
return mod
def resolve_name(name):
"""Resolve a name like ``module.object`` to an object and return it.
Raise `ImportError` if the module or name is not found.
"""
parts = name.split('.')
cursor = len(parts) - 1
module_name = parts[:cursor]
attr_name = parts[-1]
while cursor > 0:
try:
ret = __import__('.'.join(module_name), fromlist=[attr_name])
break
except ImportError:
if cursor == 0:
raise
cursor -= 1
module_name = parts[:cursor]
attr_name = parts[cursor]
ret = ''
for part in parts[cursor:]:
try:
ret = getattr(ret, part)
except AttributeError:
raise ImportError(name)
return ret
if sys.version_info[0] >= 3:
def iteritems(dictionary):
return dictionary.items()
else:
def iteritems(dictionary):
return dictionary.iteritems()
def extends_doc(extended_func):
"""
A function decorator for use when wrapping an existing function but adding
additional functionality. This copies the docstring from the original
function, and appends to it (along with a newline) the docstring of the
wrapper function.
Example
-------
>>> def foo():
... '''Hello.'''
...
>>> @extends_doc(foo)
... def bar():
... '''Goodbye.'''
...
>>> print(bar.__doc__)
Hello.
Goodbye.
"""
def decorator(func):
if not (extended_func.__doc__ is None or func.__doc__ is None):
func.__doc__ = '\n\n'.join([extended_func.__doc__.rstrip('\n'),
func.__doc__.lstrip('\n')])
return func
return decorator
# Duplicated from astropy.utils.decorators.deprecated
# When fixing issues in this function fix them in astropy first, then
# port the fixes over to astropy-helpers
def deprecated(since, message='', name='', alternative='', pending=False,
obj_type=None):
"""
Used to mark a function or class as deprecated.
To mark an attribute as deprecated, use `deprecated_attribute`.
Parameters
------------
since : str
The release at which this API became deprecated. This is
required.
message : str, optional
Override the default deprecation message. The format
specifier ``func`` may be used for the name of the function,
and ``alternative`` may be used in the deprecation message
to insert the name of an alternative to the deprecated
function. ``obj_type`` may be used to insert a friendly name
for the type of object being deprecated.
name : str, optional
The name of the deprecated function or class; if not provided
the name is automatically determined from the passed in
function or class, though this is useful in the case of
renamed functions, where the new function is just assigned to
the name of the deprecated function. For example::
def new_function():
...
oldFunction = new_function
alternative : str, optional
An alternative function or class name that the user may use in
place of the deprecated object. The deprecation warning will
tell the user about this alternative if provided.
pending : bool, optional
If True, uses a AstropyPendingDeprecationWarning instead of a
AstropyDeprecationWarning.
obj_type : str, optional
The type of this object, if the automatically determined one
needs to be overridden.
"""
method_types = (classmethod, staticmethod, types.MethodType)
def deprecate_doc(old_doc, message):
"""
Returns a given docstring with a deprecation message prepended
to it.
"""
if not old_doc:
old_doc = ''
old_doc = textwrap.dedent(old_doc).strip('\n')
new_doc = (('\n.. deprecated:: %(since)s'
'\n %(message)s\n\n' %
{'since': since, 'message': message.strip()}) + old_doc)
if not old_doc:
# This is to prevent a spurious 'unexpected unindent' warning from
# docutils when the original docstring was blank.
new_doc += r'\ '
return new_doc
def get_function(func):
"""
Given a function or classmethod (or other function wrapper type), get
the function object.
"""
if isinstance(func, method_types):
func = func.__func__
return func
def deprecate_function(func, message):
"""
Returns a wrapped function that displays an
``AstropyDeprecationWarning`` when it is called.
"""
if isinstance(func, method_types):
func_wrapper = type(func)
else:
func_wrapper = lambda f: f
func = get_function(func)
def deprecated_func(*args, **kwargs):
if pending:
category = AstropyPendingDeprecationWarning
else:
category = AstropyDeprecationWarning
warnings.warn(message, category, stacklevel=2)
return func(*args, **kwargs)
# If this is an extension function, we can't call
# functools.wraps on it, but we normally don't care.
# This crazy way to get the type of a wrapper descriptor is
# straight out of the Python 3.3 inspect module docs.
if type(func) != type(str.__dict__['__add__']):
deprecated_func = functools.wraps(func)(deprecated_func)
deprecated_func.__doc__ = deprecate_doc(
deprecated_func.__doc__, message)
return func_wrapper(deprecated_func)
def deprecate_class(cls, message):
"""
Returns a wrapper class with the docstrings updated and an
__init__ function that will raise an
``AstropyDeprectationWarning`` warning when called.
"""
# Creates a new class with the same name and bases as the
# original class, but updates the dictionary with a new
# docstring and a wrapped __init__ method. __module__ needs
# to be manually copied over, since otherwise it will be set
# to *this* module (astropy.utils.misc).
# This approach seems to make Sphinx happy (the new class
# looks enough like the original class), and works with
# extension classes (which functools.wraps does not, since
# it tries to modify the original class).
# We need to add a custom pickler or you'll get
# Can't pickle <class ..>: it's not found as ...
# errors. Picklability is required for any class that is
# documented by Sphinx.
members = cls.__dict__.copy()
members.update({
'__doc__': deprecate_doc(cls.__doc__, message),
'__init__': deprecate_function(get_function(cls.__init__),
message),
})
return type(cls.__name__, cls.__bases__, members)
def deprecate(obj, message=message, name=name, alternative=alternative,
pending=pending):
if obj_type is None:
if isinstance(obj, type):
obj_type_name = 'class'
elif inspect.isfunction(obj):
obj_type_name = 'function'
elif inspect.ismethod(obj) or isinstance(obj, method_types):
obj_type_name = 'method'
else:
obj_type_name = 'object'
else:
obj_type_name = obj_type
if not name:
name = get_function(obj).__name__
altmessage = ''
if not message or type(message) == type(deprecate):
if pending:
message = ('The %(func)s %(obj_type)s will be deprecated in a '
'future version.')
else:
message = ('The %(func)s %(obj_type)s is deprecated and may '
'be removed in a future version.')
if alternative:
altmessage = '\n Use %s instead.' % alternative
message = ((message % {
'func': name,
'name': name,
'alternative': alternative,
'obj_type': obj_type_name}) +
altmessage)
if isinstance(obj, type):
return deprecate_class(obj, message)
else:
return deprecate_function(obj, message)
if type(message) == type(deprecate):
return deprecate(message)
return deprecate
def deprecated_attribute(name, since, message=None, alternative=None,
pending=False):
"""
Used to mark a public attribute as deprecated. This creates a
property that will warn when the given attribute name is accessed.
To prevent the warning (i.e. for internal code), use the private
name for the attribute by prepending an underscore
(i.e. ``self._name``).
Parameters
----------
name : str
The name of the deprecated attribute.
since : str
The release at which this API became deprecated. This is
required.
message : str, optional
Override the default deprecation message. The format
specifier ``name`` may be used for the name of the attribute,
and ``alternative`` may be used in the deprecation message
to insert the name of an alternative to the deprecated
function.
alternative : str, optional
An alternative attribute that the user may use in place of the
deprecated attribute. The deprecation warning will tell the
user about this alternative if provided.
pending : bool, optional
If True, uses a AstropyPendingDeprecationWarning instead of a
AstropyDeprecationWarning.
Examples
--------
::
class MyClass:
# Mark the old_name as deprecated
old_name = misc.deprecated_attribute('old_name', '0.1')
def method(self):
self._old_name = 42
"""
private_name = '_' + name
@deprecated(since, name=name, obj_type='attribute')
def get(self):
return getattr(self, private_name)
@deprecated(since, name=name, obj_type='attribute')
def set(self, val):
setattr(self, private_name, val)
@deprecated(since, name=name, obj_type='attribute')
def delete(self):
delattr(self, private_name)
return property(get, set, delete)
def minversion(module, version, inclusive=True, version_path='__version__'):
"""
Returns `True` if the specified Python module satisfies a minimum version
requirement, and `False` if not.
By default this uses `pkg_resources.parse_version` to do the version
comparison if available. Otherwise it falls back on
`distutils.version.LooseVersion`.
Parameters
----------
module : module or `str`
An imported module of which to check the version, or the name of
that module (in which case an import of that module is attempted--
if this fails `False` is returned).
version : `str`
The version as a string that this module must have at a minimum (e.g.
``'0.12'``).
inclusive : `bool`
The specified version meets the requirement inclusively (i.e. ``>=``)
as opposed to strictly greater than (default: `True`).
version_path : `str`
A dotted attribute path to follow in the module for the version.
Defaults to just ``'__version__'``, which should work for most Python
modules.
Examples
--------
>>> import astropy
>>> minversion(astropy, '0.4.4')
True
"""
if isinstance(module, types.ModuleType):
module_name = module.__name__
elif isinstance(module, string_types):
module_name = module
try:
module = resolve_name(module_name)
except ImportError:
return False
else:
raise ValueError('module argument must be an actual imported '
'module, or the import name of the module; '
'got {0!r}'.format(module))
if '.' not in version_path:
have_version = getattr(module, version_path)
else:
have_version = resolve_name('.'.join([module.__name__, version_path]))
try:
from pkg_resources import parse_version
except ImportError:
from distutils.version import LooseVersion as parse_version
if inclusive:
return parse_version(have_version) >= parse_version(version)
else:
return parse_version(have_version) > parse_version(version)
# Copy of the classproperty decorator from astropy.utils.decorators
class classproperty(property):
"""
Similar to `property`, but allows class-level properties. That is,
a property whose getter is like a `classmethod`.
The wrapped method may explicitly use the `classmethod` decorator (which
must become before this decorator), or the `classmethod` may be omitted
(it is implicit through use of this decorator).
.. note::
classproperty only works for *read-only* properties. It does not
currently allow writeable/deleteable properties, due to subtleties of how
Python descriptors work. In order to implement such properties on a class
a metaclass for that class must be implemented.
Parameters
----------
fget : callable
The function that computes the value of this property (in particular,
the function when this is used as a decorator) a la `property`.
doc : str, optional
The docstring for the property--by default inherited from the getter
function.
lazy : bool, optional
If True, caches the value returned by the first call to the getter
function, so that it is only called once (used for lazy evaluation
of an attribute). This is analogous to `lazyproperty`. The ``lazy``
argument can also be used when `classproperty` is used as a decorator
(see the third example below). When used in the decorator syntax this
*must* be passed in as a keyword argument.
Examples
--------
::
>>> class Foo(object):
... _bar_internal = 1
... @classproperty
... def bar(cls):
... return cls._bar_internal + 1
...
>>> Foo.bar
2
>>> foo_instance = Foo()
>>> foo_instance.bar
2
>>> foo_instance._bar_internal = 2
>>> foo_instance.bar # Ignores instance attributes
2
As previously noted, a `classproperty` is limited to implementing
read-only attributes::
>>> class Foo(object):
... _bar_internal = 1
... @classproperty
... def bar(cls):
... return cls._bar_internal
... @bar.setter
... def bar(cls, value):
... cls._bar_internal = value
...
Traceback (most recent call last):
...
NotImplementedError: classproperty can only be read-only; use a
metaclass to implement modifiable class-level properties
When the ``lazy`` option is used, the getter is only called once::
>>> class Foo(object):
... @classproperty(lazy=True)
... def bar(cls):
... print("Performing complicated calculation")
... return 1
...
>>> Foo.bar
Performing complicated calculation
1
>>> Foo.bar
1
If a subclass inherits a lazy `classproperty` the property is still
re-evaluated for the subclass::
>>> class FooSub(Foo):
... pass
...
>>> FooSub.bar
Performing complicated calculation
1
>>> FooSub.bar
1
"""
def __new__(cls, fget=None, doc=None, lazy=False):
if fget is None:
# Being used as a decorator--return a wrapper that implements
# decorator syntax
def wrapper(func):
return cls(func, lazy=lazy)
return wrapper
return super(classproperty, cls).__new__(cls)
def __init__(self, fget, doc=None, lazy=False):
self._lazy = lazy
if lazy:
self._cache = {}
fget = self._wrap_fget(fget)
super(classproperty, self).__init__(fget=fget, doc=doc)
# There is a buglet in Python where self.__doc__ doesn't
# get set properly on instances of property subclasses if
# the doc argument was used rather than taking the docstring
# from fget
if doc is not None:
self.__doc__ = doc
def __get__(self, obj, objtype=None):
if self._lazy and objtype in self._cache:
return self._cache[objtype]
if objtype is not None:
# The base property.__get__ will just return self here;
# instead we pass objtype through to the original wrapped
# function (which takes the class as its sole argument)
val = self.fget.__wrapped__(objtype)
else:
val = super(classproperty, self).__get__(obj, objtype=objtype)
if self._lazy:
if objtype is None:
objtype = obj.__class__
self._cache[objtype] = val
return val
def getter(self, fget):
return super(classproperty, self).getter(self._wrap_fget(fget))
def setter(self, fset):
raise NotImplementedError(
"classproperty can only be read-only; use a metaclass to "
"implement modifiable class-level properties")
def deleter(self, fdel):
raise NotImplementedError(
"classproperty can only be read-only; use a metaclass to "
"implement modifiable class-level properties")
@staticmethod
def _wrap_fget(orig_fget):
if isinstance(orig_fget, classmethod):
orig_fget = orig_fget.__func__
# Using stock functools.wraps instead of the fancier version
# found later in this module, which is overkill for this purpose
@functools.wraps(orig_fget)
def fget(obj):
return orig_fget(obj.__class__)
# Set the __wrapped__ attribute manually for support on Python 2
fget.__wrapped__ = orig_fget
return fget
def find_data_files(package, pattern):
"""
Include files matching ``pattern`` inside ``package``.
Parameters
----------
package : str
The package inside which to look for data files
pattern : str
Pattern (glob-style) to match for the data files (e.g. ``*.dat``).
This supports the Python 3.5 ``**``recursive syntax. For example,
``**/*.fits`` matches all files ending with ``.fits``
recursively. Only one instance of ``**`` can be included in the
pattern.
"""
if sys.version_info[:2] >= (3, 5):
return glob.glob(os.path.join(package, pattern), recursive=True)
else:
if '**' in pattern:
start, end = pattern.split('**')
if end.startswith(('/', os.sep)):
end = end[1:]
matches = glob.glob(os.path.join(package, start, end))
for root, dirs, files in os.walk(os.path.join(package, start)):
for dirname in dirs:
matches += glob.glob(os.path.join(root, dirname, end))
return matches
else:
return glob.glob(os.path.join(package, pattern)) | PypiClean |
/GDAL-3.7.1.1.tar.gz/GDAL-3.7.1.1/gdal-utils/osgeo_utils/gdal_merge.py |
import math
import sys
import time
from osgeo import gdal
from osgeo_utils.auxiliary.util import GetOutputDriverFor
progress = gdal.TermProgress_nocb
__version__ = "$id$"[5:-1]
# =============================================================================
def raster_copy(
s_fh,
s_xoff,
s_yoff,
s_xsize,
s_ysize,
s_band_n,
t_fh,
t_xoff,
t_yoff,
t_xsize,
t_ysize,
t_band_n,
nodata=None,
verbose=0,
):
if verbose != 0:
print(
"Copy %d,%d,%d,%d to %d,%d,%d,%d."
% (s_xoff, s_yoff, s_xsize, s_ysize, t_xoff, t_yoff, t_xsize, t_ysize)
)
if nodata is not None:
return raster_copy_with_nodata(
s_fh,
s_xoff,
s_yoff,
s_xsize,
s_ysize,
s_band_n,
t_fh,
t_xoff,
t_yoff,
t_xsize,
t_ysize,
t_band_n,
nodata,
)
s_band = s_fh.GetRasterBand(s_band_n)
m_band = None
# Works only in binary mode and doesn't take into account
# intermediate transparency values for compositing.
if s_band.GetMaskFlags() != gdal.GMF_ALL_VALID:
m_band = s_band.GetMaskBand()
elif s_band.GetColorInterpretation() == gdal.GCI_AlphaBand:
m_band = s_band
if m_band is not None:
return raster_copy_with_mask(
s_fh,
s_xoff,
s_yoff,
s_xsize,
s_ysize,
s_band_n,
t_fh,
t_xoff,
t_yoff,
t_xsize,
t_ysize,
t_band_n,
m_band,
)
s_band = s_fh.GetRasterBand(s_band_n)
t_band = t_fh.GetRasterBand(t_band_n)
data = s_band.ReadRaster(
s_xoff, s_yoff, s_xsize, s_ysize, t_xsize, t_ysize, t_band.DataType
)
t_band.WriteRaster(
t_xoff, t_yoff, t_xsize, t_ysize, data, t_xsize, t_ysize, t_band.DataType
)
return 0
# =============================================================================
def raster_copy_with_nodata(
s_fh,
s_xoff,
s_yoff,
s_xsize,
s_ysize,
s_band_n,
t_fh,
t_xoff,
t_yoff,
t_xsize,
t_ysize,
t_band_n,
nodata,
):
import numpy as np
s_band = s_fh.GetRasterBand(s_band_n)
t_band = t_fh.GetRasterBand(t_band_n)
data_src = s_band.ReadAsArray(s_xoff, s_yoff, s_xsize, s_ysize, t_xsize, t_ysize)
data_dst = t_band.ReadAsArray(t_xoff, t_yoff, t_xsize, t_ysize)
if not np.isnan(nodata):
nodata_test = np.equal(data_src, nodata)
else:
nodata_test = np.isnan(data_src)
to_write = np.choose(nodata_test, (data_src, data_dst))
t_band.WriteArray(to_write, t_xoff, t_yoff)
return 0
# =============================================================================
def raster_copy_with_mask(
s_fh,
s_xoff,
s_yoff,
s_xsize,
s_ysize,
s_band_n,
t_fh,
t_xoff,
t_yoff,
t_xsize,
t_ysize,
t_band_n,
m_band,
):
import numpy as np
s_band = s_fh.GetRasterBand(s_band_n)
t_band = t_fh.GetRasterBand(t_band_n)
data_src = s_band.ReadAsArray(s_xoff, s_yoff, s_xsize, s_ysize, t_xsize, t_ysize)
data_mask = m_band.ReadAsArray(s_xoff, s_yoff, s_xsize, s_ysize, t_xsize, t_ysize)
data_dst = t_band.ReadAsArray(t_xoff, t_yoff, t_xsize, t_ysize)
mask_test = np.equal(data_mask, 0)
to_write = np.choose(mask_test, (data_src, data_dst))
t_band.WriteArray(to_write, t_xoff, t_yoff)
return 0
# =============================================================================
def names_to_fileinfos(names):
"""
Translate a list of GDAL filenames, into file_info objects.
names -- list of valid GDAL dataset names.
Returns a list of file_info objects. There may be less file_info objects
than names if some of the names could not be opened as GDAL files.
"""
file_infos = []
for name in names:
fi = file_info()
if fi.init_from_name(name) == 1:
file_infos.append(fi)
return file_infos
# *****************************************************************************
class file_info(object):
"""A class holding information about a GDAL file."""
def __init__(self):
self.band_type = None
self.bands = None
self.ct = None
self.filename = None
self.geotransform = None
self.lrx = None
self.lry = None
self.projection = None
self.ulx = None
self.uly = None
self.xsize = None
self.ysize = None
def init_from_name(self, filename):
"""
Initialize file_info from filename
filename -- Name of file to read.
Returns 1 on success or 0 if the file can't be opened.
"""
fh = gdal.Open(filename)
if fh is None:
return 0
self.filename = filename
self.bands = fh.RasterCount
self.xsize = fh.RasterXSize
self.ysize = fh.RasterYSize
self.band_type = fh.GetRasterBand(1).DataType
self.projection = fh.GetProjection()
self.geotransform = fh.GetGeoTransform()
self.ulx = self.geotransform[0]
self.uly = self.geotransform[3]
self.lrx = self.ulx + self.geotransform[1] * self.xsize
self.lry = self.uly + self.geotransform[5] * self.ysize
ct = fh.GetRasterBand(1).GetRasterColorTable()
if ct is not None:
self.ct = ct.Clone()
else:
self.ct = None
return 1
def report(self):
print("Filename: " + self.filename)
print("File Size: %dx%dx%d" % (self.xsize, self.ysize, self.bands))
print("Pixel Size: %f x %f" % (self.geotransform[1], self.geotransform[5]))
print("UL:(%f,%f) LR:(%f,%f)" % (self.ulx, self.uly, self.lrx, self.lry))
def copy_into(self, t_fh, s_band=1, t_band=1, nodata_arg=None, verbose=0):
"""
Copy this files image into target file.
This method will compute the overlap area of the file_info objects
file, and the target gdal.Dataset object, and copy the image data
for the common window area. It is assumed that the files are in
a compatible projection ... no checking or warping is done. However,
if the destination file is a different resolution, or different
image pixel type, the appropriate resampling and conversions will
be done (using normal GDAL promotion/demotion rules).
t_fh -- gdal.Dataset object for the file into which some or all
of this file may be copied.
Returns 1 on success (or if nothing needs to be copied), and zero one
failure.
"""
t_geotransform = t_fh.GetGeoTransform()
t_ulx = t_geotransform[0]
t_uly = t_geotransform[3]
t_lrx = t_geotransform[0] + t_fh.RasterXSize * t_geotransform[1]
t_lry = t_geotransform[3] + t_fh.RasterYSize * t_geotransform[5]
# figure out intersection region
tgw_ulx = max(t_ulx, self.ulx)
tgw_lrx = min(t_lrx, self.lrx)
if t_geotransform[5] < 0:
tgw_uly = min(t_uly, self.uly)
tgw_lry = max(t_lry, self.lry)
else:
tgw_uly = max(t_uly, self.uly)
tgw_lry = min(t_lry, self.lry)
# do they even intersect?
if tgw_ulx >= tgw_lrx:
return 1
if t_geotransform[5] < 0 and tgw_uly <= tgw_lry:
return 1
if t_geotransform[5] > 0 and tgw_uly >= tgw_lry:
return 1
# compute target window in pixel coordinates.
tw_xoff = int((tgw_ulx - t_geotransform[0]) / t_geotransform[1] + 0.1)
tw_yoff = int((tgw_uly - t_geotransform[3]) / t_geotransform[5] + 0.1)
tw_xsize = (
int((tgw_lrx - t_geotransform[0]) / t_geotransform[1] + 0.5) - tw_xoff
)
tw_ysize = (
int((tgw_lry - t_geotransform[3]) / t_geotransform[5] + 0.5) - tw_yoff
)
if tw_xsize < 1 or tw_ysize < 1:
return 1
# Compute source window in pixel coordinates.
sw_xoff = int((tgw_ulx - self.geotransform[0]) / self.geotransform[1] + 0.1)
sw_yoff = int((tgw_uly - self.geotransform[3]) / self.geotransform[5] + 0.1)
sw_xsize = (
int((tgw_lrx - self.geotransform[0]) / self.geotransform[1] + 0.5) - sw_xoff
)
sw_ysize = (
int((tgw_lry - self.geotransform[3]) / self.geotransform[5] + 0.5) - sw_yoff
)
if sw_xsize < 1 or sw_ysize < 1:
return 1
# Open the source file, and copy the selected region.
s_fh = gdal.Open(self.filename)
return raster_copy(
s_fh,
sw_xoff,
sw_yoff,
sw_xsize,
sw_ysize,
s_band,
t_fh,
tw_xoff,
tw_yoff,
tw_xsize,
tw_ysize,
t_band,
nodata_arg,
verbose,
)
# =============================================================================
def Usage():
print("Usage: gdal_merge.py [-o out_filename] [-of out_format] [-co NAME=VALUE]*")
print(
" [-ps pixelsize_x pixelsize_y] [-tap] [-separate] [-q] [-v] [-pct]"
)
print(' [-ul_lr ulx uly lrx lry] [-init "value [value...]"]')
print(" [-n nodata_value] [-a_nodata output_nodata_value]")
print(" [-ot datatype] [-createonly] input_files")
print(" [--help-general]")
print("")
return 2
def gdal_merge(argv=None):
verbose = 0
quiet = 0
names = []
driver_name = None
out_file = "out.tif"
ulx = None
psize_x = None
separate = 0
copy_pct = 0
nodata = None
a_nodata = None
create_options = []
pre_init = []
band_type = None
createonly = 0
bTargetAlignedPixels = False
start_time = time.time()
if argv is None:
argv = argv
argv = gdal.GeneralCmdLineProcessor(argv)
if argv is None:
return 0
# Parse command line arguments.
i = 1
while i < len(argv):
arg = argv[i]
if arg == "-o":
i = i + 1
out_file = argv[i]
elif arg == "-v":
verbose = 1
elif arg == "-q" or arg == "-quiet":
quiet = 1
elif arg == "-createonly":
createonly = 1
elif arg == "-separate":
separate = 1
elif arg == "-seperate":
separate = 1
elif arg == "-pct":
copy_pct = 1
elif arg == "-ot":
i = i + 1
band_type = gdal.GetDataTypeByName(argv[i])
if band_type == gdal.GDT_Unknown:
print("Unknown GDAL data type: %s" % argv[i])
return 1
elif arg == "-init":
i = i + 1
str_pre_init = argv[i].split()
for x in str_pre_init:
pre_init.append(float(x))
elif arg == "-n":
i = i + 1
nodata = float(argv[i])
elif arg == "-a_nodata":
i = i + 1
a_nodata = float(argv[i])
elif arg == "-f" or arg == "-of":
i = i + 1
driver_name = argv[i]
elif arg == "-co":
i = i + 1
create_options.append(argv[i])
elif arg == "-ps":
psize_x = float(argv[i + 1])
psize_y = -1 * abs(float(argv[i + 2]))
i = i + 2
elif arg == "-tap":
bTargetAlignedPixels = True
elif arg == "-ul_lr":
ulx = float(argv[i + 1])
uly = float(argv[i + 2])
lrx = float(argv[i + 3])
lry = float(argv[i + 4])
i = i + 4
elif arg[:1] == "-":
print("Unrecognized command option: %s" % arg)
return Usage()
else:
names.append(arg)
i = i + 1
if not names:
print("No input files selected.")
return Usage()
if driver_name is None:
driver_name = GetOutputDriverFor(out_file)
driver = gdal.GetDriverByName(driver_name)
if driver is None:
print("Format driver %s not found, pick a supported driver." % driver_name)
return 1
DriverMD = driver.GetMetadata()
if "DCAP_CREATE" not in DriverMD:
print(
"Format driver %s does not support creation and piecewise writing.\nPlease select a format that does, such as GTiff (the default) or HFA (Erdas Imagine)."
% driver_name
)
return 1
# Collect information on all the source files.
file_infos = names_to_fileinfos(names)
if ulx is None:
ulx = file_infos[0].ulx
uly = file_infos[0].uly
lrx = file_infos[0].lrx
lry = file_infos[0].lry
for fi in file_infos:
ulx = min(ulx, fi.ulx)
uly = max(uly, fi.uly)
lrx = max(lrx, fi.lrx)
lry = min(lry, fi.lry)
if psize_x is None:
psize_x = file_infos[0].geotransform[1]
psize_y = file_infos[0].geotransform[5]
if band_type is None:
band_type = file_infos[0].band_type
# Try opening as an existing file.
with gdal.quiet_errors(), gdal.ExceptionMgr(useExceptions=False):
t_fh = gdal.Open(out_file, gdal.GA_Update)
# Create output file if it does not already exist.
if t_fh is None:
if bTargetAlignedPixels:
ulx = math.floor(ulx / psize_x) * psize_x
lrx = math.ceil(lrx / psize_x) * psize_x
lry = math.floor(lry / -psize_y) * -psize_y
uly = math.ceil(uly / -psize_y) * -psize_y
geotransform = [ulx, psize_x, 0, uly, 0, psize_y]
xsize = int((lrx - ulx) / geotransform[1] + 0.5)
ysize = int((lry - uly) / geotransform[5] + 0.5)
if separate != 0:
bands = 0
for fi in file_infos:
bands = bands + fi.bands
else:
bands = file_infos[0].bands
t_fh = driver.Create(out_file, xsize, ysize, bands, band_type, create_options)
if t_fh is None:
print("Creation failed, terminating gdal_merge.")
return 1
t_fh.SetGeoTransform(geotransform)
t_fh.SetProjection(file_infos[0].projection)
if copy_pct:
t_fh.GetRasterBand(1).SetRasterColorTable(file_infos[0].ct)
else:
if separate != 0:
bands = 0
for fi in file_infos:
bands = bands + fi.bands
if t_fh.RasterCount < bands:
print(
"Existing output file has less bands than the input files. You should delete it before. Terminating gdal_merge."
)
return 1
else:
bands = min(file_infos[0].bands, t_fh.RasterCount)
# Do we need to set nodata value ?
if a_nodata is not None:
for i in range(t_fh.RasterCount):
t_fh.GetRasterBand(i + 1).SetNoDataValue(a_nodata)
# Do we need to pre-initialize the whole mosaic file to some value?
if pre_init is not None:
if t_fh.RasterCount <= len(pre_init):
for i in range(t_fh.RasterCount):
t_fh.GetRasterBand(i + 1).Fill(pre_init[i])
elif len(pre_init) == 1:
for i in range(t_fh.RasterCount):
t_fh.GetRasterBand(i + 1).Fill(pre_init[0])
# Copy data from source files into output file.
t_band = 1
if quiet == 0 and verbose == 0:
progress(0.0)
fi_processed = 0
for fi in file_infos:
if createonly != 0:
continue
if verbose != 0:
print("")
print(
"Processing file %5d of %5d, %6.3f%% completed in %d minutes."
% (
fi_processed + 1,
len(file_infos),
fi_processed * 100.0 / len(file_infos),
int(round((time.time() - start_time) / 60.0)),
)
)
fi.report()
if separate == 0:
for band in range(1, bands + 1):
fi.copy_into(t_fh, band, band, nodata, verbose)
else:
for band in range(1, fi.bands + 1):
fi.copy_into(t_fh, band, t_band, nodata, verbose)
t_band = t_band + 1
fi_processed = fi_processed + 1
if quiet == 0 and verbose == 0:
progress(fi_processed / float(len(file_infos)))
# Force file to be closed.
t_fh = None
def main(argv=sys.argv):
return gdal_merge(argv)
if __name__ == "__main__":
sys.exit(main(sys.argv)) | PypiClean |
/Nuitka_winsvc-1.7.10-cp310-cp310-win_amd64.whl/nuitka/__past__.py | import pkgutil
import sys
from abc import ABCMeta
# pylint: disable=invalid-name,self-assigning-variable
if str is bytes:
import __builtin__ as builtins # Python2 code, pylint: disable=import-error
else:
import builtins
# Work around for CPython 3.x renaming "long" to "int".
if str is bytes:
long = long # Python2 code, pylint: disable=undefined-variable
else:
long = int
# Work around for CPython 3.x renaming "unicode" to "str".
if str is bytes:
unicode = unicode # Python2 code, pylint: disable=undefined-variable
else:
unicode = str
if str is bytes:
def iterItems(d):
return d.iteritems()
else:
def iterItems(d):
return d.items()
if str is not bytes:
raw_input = input
xrange = range
basestring = str
else:
raw_input = raw_input
xrange = xrange
basestring = basestring
if str is bytes:
from urllib import ( # pylint: disable=I0021,import-error,no-name-in-module
urlretrieve,
)
else:
from urllib.request import urlretrieve
if str is bytes:
from cStringIO import StringIO # Python2 code, pylint: disable=import-error
else:
from io import StringIO
if str is bytes:
BytesIO = StringIO
else:
from io import BytesIO
try:
from functools import total_ordering
except ImportError:
# Lame replacement for functools.total_ordering, which does not exist on
# Python2.6, this requires "<" and "=" and adds all other operations.
def total_ordering(cls):
cls.__ne__ = lambda self, other: not self == other
cls.__le__ = lambda self, other: self == other or self < other
cls.__gt__ = lambda self, other: self != other and not self < other
cls.__ge__ = lambda self, other: self == other and not self < other
return cls
if str is bytes:
# Python2 only code, pylint: disable=deprecated-class,no-name-in-module
from collections import Iterable, MutableSet
else:
from collections.abc import Iterable, MutableSet
if str is bytes:
intern = intern # Python2 code, pylint: disable=undefined-variable
else:
intern = sys.intern
if str is bytes:
to_byte = chr
from_byte = ord
else:
def to_byte(value):
assert type(value) is int and 0 <= value < 256
return bytes((value,))
def from_byte(value):
assert type(value) is bytes and len(value) == 1, value
return value[0]
try:
from typing import GenericAlias
except ImportError:
GenericAlias = None
try:
from types import UnionType
except ImportError:
UnionType = None
def getMetaClassBase(meta_class_prefix):
"""For Python2/3 compatible source, we create a base class that has the metaclass
used and doesn't require making a choice.
"""
class MetaClass(ABCMeta):
pass
MetaClassBase = MetaClass("%sMetaClassBase" % meta_class_prefix, (object,), {})
return MetaClassBase
if str is bytes:
try:
import subprocess32 as subprocess
except ImportError:
import subprocess
else:
import subprocess
# Just to make this not Windows-specific.
WindowsError = OSError # pylint: disable=I0021,redefined-builtin
# Make it available for Python2 as well
PermissionError = ( # pylint: disable=redefined-builtin
PermissionError if str is not bytes else OSError
)
if not hasattr(pkgutil, "ModuleInfo"):
# Python3.5 or lower do not return namedtuple, but it's nicer to read code with it.
from collections import namedtuple
ModuleInfo = namedtuple("ModuleInfo", "module_finder name ispkg")
def iter_modules(path=None, prefix=""):
for item in pkgutil.iter_modules(path, prefix):
yield ModuleInfo(*item)
else:
iter_modules = pkgutil.iter_modules
try:
ExceptionGroup = ExceptionGroup
except NameError:
ExceptionGroup = None
try:
BaseExceptionGroup = BaseExceptionGroup
except NameError:
BaseExceptionGroup = None
# For PyLint to be happy.
assert long
assert unicode
assert urlretrieve
assert StringIO
assert BytesIO
assert type(xrange) is type, xrange
assert total_ordering
assert intern
assert builtins
assert Iterable
assert MutableSet
assert subprocess
assert GenericAlias or intern
assert UnionType or intern | PypiClean |
/Flashflood-0.13.0.tar.gz/Flashflood-0.13.0/flashflood/static.py | import collections
from tornado import process
from chorus import molutil, wclogp
from chorus.draw.svg import mol_to_svg
from flashflood.lod import ListOfDict
JOB_RESULT_SCHEMA = "https://mojaie.github.io/flashflood/_static/specs/job_result_v1.0.json"
""" Option module availability """
try:
from chorus import rdkit
RDK_AVAILABLE = True
except ImportError:
RDK_AVAILABLE = False
try:
import cython
NUMERIC_MODULE = "Cython"
except ImportError:
try:
import numexpr
NUMERIC_MODULE = "NumExpr"
except ImportError:
NUMERIC_MODULE = "Numpy"
""" Server status """
PROCESSES = process.cpu_count()
""" Field definition """
# TODO: move to server_config?
INDEX_FIELD = {"key": "index", "name": "Index", "d3_format": "d"}
COMPID_FIELD = {"key": "compound_id", "name": "Compound ID",
"format": "compound_id"}
NAME_FIELD = {"key": "name", "name": "Name", "format": "text"}
MOLJSON_FIELD = {"key": "__moljson", "name": "Molecule JSON", "format": "json"}
MOLPICKLE_FIELD = {"key": "__molpickle", "name": "Pickled molecule",
"format": "pickle"}
MOLOBJ_FIELD = {"key": "__molobj", "name": "Molecule object",
"format": "pyobject"}
# TODO: move to node.chem.descriptor?
Descriptor = collections.namedtuple(
"Descriptor", ("function", "name", "format_type", "format"))
MOL_DESCS = collections.OrderedDict([
("structure", Descriptor(mol_to_svg, "Structure", "format", "svg")),
("_mw", Descriptor(molutil.mw, "MW", "d3_format", ".2f")),
("_mw_wo_sw", Descriptor(molutil.mw_wo_sw, "MW w/o salt and water",
"d3_format", ".2f")),
("_formula", Descriptor(molutil.formula, "Formula", "format", "text")),
("_logp", Descriptor(wclogp.wclogp, "WCLogP", "d3_format", ".1f")),
("_nonH", Descriptor(molutil.non_hydrogen_count, "Non-H atom count",
"d3_format", "d"))
])
MOL_DESC_KEYS = list(MOL_DESCS.keys()) # OrderedDict.key is not picklable
MOL_DESC_FIELDS = ListOfDict({
"key": key, "name": desc.name, desc.format_type: desc.format
} for key, desc in MOL_DESCS.items()) | PypiClean |
/GxDoxybook-1.1.0.tar.gz/GxDoxybook-1.1.0/doxybook/node.py | import os
import re
import traceback
from xml.etree import ElementTree
from xml.etree.ElementTree import Element as Element
from doxybook.constants import Kind, Visibility, OVERLOAD_OPERATORS
from doxybook.cache import Cache
from doxybook.xml_parser import XmlParser
from doxybook.markdown import escape
from doxybook.utils import split_safe
from doxybook.property import Property
class Node:
_output_dir = ''
def __init__(self, xml_file: str, xml: Element, cache: Cache, parser: XmlParser, \
parent: 'Node', refid: str = None, position: str = None , \
doc_type = 'all', rel_path = ''):
self._children: ['Node'] = []
self._cache: Cache = cache
self._parser: XmlParser = parser
self._parent = parent
self._position = position
self.doc_type = doc_type
self.rel_path = rel_path
if xml_file == 'root':
self._refid = 'root'
self._kind = Kind.from_str('root')
self._name = 'root'
self._xml = None
elif xml is None:
print('Loading XML from: ' + xml_file)
self._dirname = os.path.dirname(xml_file)
self._position = self._dirname
self._xml = ElementTree.parse(xml_file).getroot().find('compounddef')
if self._xml is None:
raise Exception('File ' + xml_file + ' has no <compounddef>')
self._kind = Kind.from_str(self._xml.get('kind'))
self._refid = self._xml.get('id')
self._name = self._xml.find('compoundname').text
self._cache.add_onname(self._name, self)
self._cache.add(self._refid, self)
self._static = False
print('Parsing: ' + self._refid)
self._check_for_children()
title = self._xml.find('title')
if title is not None:
self._title = title.text
else:
self._title = self._name
else:
self._xml = xml
if self._parent.kind == Kind.ENUM:
self._kind = Kind.from_str('enumvalue')
else:
self._kind = Kind.from_str(self._xml.get('kind'))
if refid is not None:
self._refid = refid
else:
self._refid = self._xml.get('id')
self._cache.add(self._refid, self)
self._check_attrs()
self._title = self._name
self._cache.add_onname(self._name, self)
if self._kind == Kind.ENUM:
enumvalues = self._xml.findall('enumvalue')
for enumvalue in enumvalues:
if not enumvalue.get('id'):
continue
child = Node(None, enumvalue, self._cache, self._parser,
self, position = self._position)
self.add_child(child)
self._details = Property.Details(self._xml, parser, self._kind)
self._brief = Property.Brief(self._xml, parser, self._kind)
self._includes = Property.Includes(self._xml, parser, self._kind)
self._type = Property.Type(self._xml, parser, self._kind)
self._location = Property.Location(self._xml, parser, self._kind)
self._params = Property.Params(self._xml, parser, self._kind)
self._templateparams = Property.TemplateParams(self._xml, parser, self._kind)
self._specifiers = Property.Specifiers(self._xml, parser, self._kind)
self._values = Property.Values(self._xml, parser, self._kind)
self._initializer = Property.Initializer(self._xml, parser, self._kind)
self._definition = Property.Definition(self._xml, parser, self._kind)
self._programlisting = Property.Programlisting(self._xml, parser, self._kind)
self._CodeBlock = Property.CodeBlock(self._xml, parser, self._kind)
self._output_dir = ''
if xml_file:
self._output_dir = os.path.basename(os.path.dirname(xml_file))
elif self._parent:
self._output_dir = self._parent._output_dir
else:
print('No found output dir')
pass
#def node_replace(rep, replace, node):
def list_node(self, node, leval = 0):
n = leval
print('\t'*n, node._kind, node._name, 'now')
if node.has_children:
n += 1
for child in node._children:
print('\t'*n, child._kind, child._name, 'children')
if child.has_children:
self.list_node(child, n)
def add_child(self, child: 'Node'):
self._children.append(child)
def sort_children(self):
self._children.sort(key=lambda x: x._name, reverse=False)
def _check_for_children(self):
for innergroup in self._xml.findall('innergroup'):
refid = innergroup.get('refid')
if self._kind == Kind.GROUP or self._kind == Kind.DIR or self._kind == Kind.FILE:
try:
child = self._cache.get(refid)
self.add_child(child)
continue
except:
pass
child = Node(os.path.join(self._dirname, refid + '.xml'), None, self._cache, self._parser, self, \
doc_type = self.doc_type, rel_path = self.rel_path)
child._visibility = Visibility.PUBLIC
self.add_child(child)
for innerclass in self._xml.findall('innerclass'):
refid = innerclass.get('refid')
prot = Visibility(innerclass.get('prot'))
if prot == Visibility.PRIVATE:
continue
if self._kind == Kind.GROUP or self._kind == Kind.DIR or self._kind == Kind.FILE:
try:
child = self._cache.get(refid)
self.add_child(child)
continue
except:
pass
try:
child = Node(os.path.join(self._dirname, refid + '.xml'), None, self._cache, self._parser, self,
doc_type = self.doc_type, rel_path = self.rel_path)
except FileNotFoundError as e:
child = Node(os.path.join(self._dirname, refid + '.xml'), Element('compounddef'), self._cache, self._parser, self, refid=refid, \
doc_type = self.doc_type, rel_path = self.rel_path)
child._name = innerclass.text
child._visibility = prot
self.add_child(child)
for innerfile in self._xml.findall('innerfile'):
refid = innerfile.get('refid')
if self._kind == Kind.DIR:
try:
child = self._cache.get(refid)
self.add_child(child)
continue
except:
pass
child = Node(os.path.join(self._dirname, refid + '.xml'), None, self._cache, self._parser, self, \
doc_type = self.doc_type, rel_path = self.rel_path)
child._visibility = Visibility.PUBLIC
self.add_child(child)
for innerdir in self._xml.findall('innerdir'):
refid = innerdir.get('refid')
if self._kind == Kind.DIR:
try:
child = self._cache.get(refid)
self.add_child(child)
continue
except:
pass
child = Node(os.path.join(self._dirname, refid + '.xml'), None, self._cache, self._parser, self, \
doc_type = self.doc_type, rel_path = self.rel_path)
child._visibility = Visibility.PUBLIC
self.add_child(child)
for innernamespace in self._xml.findall('innernamespace'):
refid = innernamespace.get('refid')
if self._kind == Kind.GROUP or self._kind == Kind.DIR or self._kind == Kind.FILE:
try:
child = self._cache.get(refid)
self.add_child(child)
continue
except:
pass
child = Node(os.path.join(self._dirname, refid + '.xml'), None, self._cache, self._parser, self, \
doc_type = self.doc_type, rel_path = self.rel_path)
child._visibility = Visibility.PUBLIC
self.add_child(child)
for sectiondef in self._xml.findall('sectiondef'):
for memberdef in sectiondef.findall('memberdef'):
kind = Kind.from_str(memberdef.get('kind'))
if kind.is_language():
if self._kind == Kind.GROUP or self._kind == Kind.DIR or self._kind == Kind.FILE:
refid = memberdef.get('id')
try:
child = self._cache.get(refid)
self.add_child(child)
continue
except:
pass
child = Node(None, memberdef, self._cache, self._parser,
self, position = self._position, \
doc_type = self.doc_type, rel_path = self.rel_path)
#if child._kind == Kind.ENUM:
# print('aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa')
# print(child.name)
# print(child._position)
# print(memberdef.get('enumvalue'))
self.add_child(child)
def _check_attrs(self):
prot = self._xml.get('prot')
self._visibility = Visibility(prot) if prot is not None else Visibility.PUBLIC
static = self._xml.get('static')
self._static = static == 'yes'
explicit = self._xml.get('explicit')
self._explicit = explicit == 'yes'
mutable = self._xml.get('mutable')
self._mutable = mutable == 'yes'
inline = self._xml.get('inline')
self._inline = inline == 'yes'
const = self._xml.get('inline')
self._const = const == 'yes'
name = self._xml.find('name')
if name is not None:
self._name = name.text
else:
self._name = ''
virt = self._xml.get('virt')
if virt:
self._virtual = virt == 'virtual' or virt == 'pure-virtual'
self._pure = virt == 'pure-virtual'
else:
self._virtual = False
self._pure = False
def has(self, visibility: str, kinds: [str], static: bool) -> bool:
return len(self.query(visibility, kinds, static)) > 0
def query(self, visibility: str, kinds: [str], static: bool) -> ['Node']:
ret = []
visibility = Visibility(visibility)
kinds = list(map(lambda kind: Kind.from_str(kind), kinds))
for child in self._children:
if child._visibility == visibility and child._kind in kinds and child._static == static:
ret.append(child)
return ret
@property
def is_static(self) -> bool:
return self._static
@property
def is_explicit(self) -> bool:
return self._explicit
@property
def is_const(self) -> bool:
return self._const
@property
def is_inline(self) -> bool:
return self._inline
@property
def is_mutable(self) -> bool:
return self._mutable
@property
def is_virtual(self) -> bool:
return self._virtual
@property
def output_dir(self) -> str:
return self._output_dir
@property
def is_pure(self) -> bool:
return self._pure
@property
def has_children(self) -> bool:
return len(self._children) > 0
@property
def children(self) -> ['Node']:
return self._children
@property
def parent(self) -> 'Node':
return self._parent
@property
def is_function(self) -> bool:
return self._kind.is_function()
@property
def is_variable(self) -> bool:
return self._kind.is_variable()
@property
def is_namespace(self) -> bool:
return self._kind.is_namespace()
@property
def is_class(self) -> bool:
return self._kind.is_class()
@property
def is_struct(self) -> bool:
return self._kind.is_struct()
@property
def is_enum(self) -> bool:
return self._kind.is_enum()
@property
def is_class_or_struct(self) -> bool:
return self._kind.is_class_or_struct()
@property
def is_interface(self) -> bool:
return self._kind.is_interface()
@property
def is_typedef(self) -> bool:
return self._kind.is_typedef()
@property
def is_define(self) -> bool:
return self._kind.is_define()
@property
def is_union(self) -> bool:
return self._kind.is_union()
@property
def is_group(self) -> bool:
return self._kind.is_group()
@property
def is_language(self) -> bool:
return self._kind.is_language()
@property
def is_root(self) -> bool:
return self._kind.is_root()
@property
def is_parent(self) -> bool:
return self._kind.is_parent()
@property
def is_friend(self) -> bool:
return self._kind.is_friend()
@property
def is_file(self) -> bool:
return self._kind.is_file()
@property
def is_function(self) -> bool:
return self._kind.is_function()
@property
def is_dir(self) -> bool:
return self._kind.is_dir()
@property
def is_page(self) -> bool:
return self._kind.is_page()
@property
def name(self) -> str:
return self._name
@property
def title(self) -> str:
return self._title
@property
def refid(self) -> str:
return self._refid
@property
def kind(self) -> str:
return self._kind
@property
def is_operator(self) -> bool:
return self._name in OVERLOAD_OPERATORS
@property
def operators_total(self) -> int:
total = 0
for child in self.children:
if child.name in OVERLOAD_OPERATORS:
total += 1
return total
@property
def operator_num(self) -> int:
total = 0
for child in self.parent.children:
if child.is_function and child.name.replace(' ', '') in OVERLOAD_OPERATORS:
total += 1
if child.refid == self._refid:
break
return total
@property
def name_url_safe(self) -> str:
name = self.name_tokens[-1]
name = name.replace(' ', '-').replace('_', '-').replace('=', '').replace('~', '').lower()
return name
@property
def anchor(self) -> str:
name = ''
if self._name.replace(' ', '') in OVERLOAD_OPERATORS:
num = self.operator_num
if num > 1:
name = 'operator-' + str(self.operator_num)
else:
name = 'operator'
elif self.is_overloaded:
name = self.name_url_safe + '-' + str(self.overload_num) + '-' + str(self.overload_total)
else:
name = self.name_url_safe
if name.startswith('-'):
name = name[1:]
return self._kind.value + '-' + name
@property
def url(self) -> str:
book = ''
if self.doc_type == 'part':
book = 'book'
book = os.path.join(self.rel_path, book)
book = os.path.join('/', book)
if self.is_parent or self.is_typedef or self.is_group or self.is_file or self.is_dir or self.is_page or self.is_function:
if self._position:
dirs = self._position.split('/')
rootdir = ''
is_getxml = False
for dir in dirs:
if dir == 'XML':
rootdir = '/'
is_getxml = True
continue
if is_getxml:
rootdir = rootdir + dir + '/'
if self.is_typedef:
return book + rootdir + 'typedeflist.md#' + self.anchor
#/home/gx/goxceed/docs/XML/gxdownloader
return book + rootdir + self._refid + '.md'
#return '../' + os.path.basename(self._position) + '/' + self._refid + '.md'
else:
return book + rootdir + self._refid + '.md'
elif self.is_enum:
return book + '/' + self._refid + '.md'
else:
return self._parent.url + '#' + self.anchor
@property
def url_source(self) -> str:
if self.is_parent or self.is_group or self.is_file or self.is_dir:
return self._refid + '_source.md'
else:
return self._refid + '.md'
@property
def filename(self) -> str:
return self._refid + '.md'
@property
def root(self) -> 'Node':
if self._kind == Kind.ROOT:
return self
else:
return self._parent.root
@property
def name_tokens(self) -> [str]:
if self.is_dir or self.is_file:
return self._name.split('/')
return split_safe(self._name, '::')
@property
def name_short(self) -> str:
return escape(self.name_tokens[-1])
@property
def name_long(self) -> str:
try:
if self._parent.is_parent:
return self._parent.name_long + '::' + escape(self.name_tokens[-1])
else:
return escape(self._name)
except Exception as e:
raise e
@property
def name_full_unescaped(self) -> str:
if self._parent is not None and not self._parent.is_root and self._parent.is_parent:
return self._parent.name_full_unescaped + '::' + self.name_tokens[-1]
else:
return self.name_tokens[-1]
@property
def overload_total(self) -> int:
if self._parent is not None:
if self._parent.is_class_or_struct:
count = 0
for neighbour in self._parent.children:
if neighbour.name == self.name:
count += 1
return count
return 0
@property
def overload_num(self) -> int:
if self._parent is not None:
if self._parent.is_class_or_struct:
count = 0
for neighbour in self._parent.children:
if neighbour.name == self.name:
count += 1
if neighbour.refid == self.refid:
break
return count
return 0
@property
def is_overloaded(self) -> bool:
return self.overload_total > 1
@property
def overload_suffix(self) -> str:
if self.is_operator:
return ''
total = self.overload_total
if total > 1:
return '[' + str(self.overload_num) + '/' + str(total) + ']'
else:
return ''
@property
def parents(self) -> ['Node']:
if self._refid == 'dir_e76b55871a3ceedcbe1f9359e5753575':
print(id(self))
print('debugger')
ret = []
if self._parent is not None:
if self._parent.is_language or self._parent.is_dir:
ret.extend(self.parent.parents)
ret.append(self)
return ret
@property
def suffix(self) -> str:
if self.is_parent:
if self._templateparams.has():
return '<' + ', '.join(self._templateparams.array(notype=True)) + '>'
else:
return ''
elif self.is_function:
return self._specifiers.md()
elif self.is_variable:
if self._initializer.has():
return ' = ' + self._initializer.md()
else:
return ''
elif self.is_define:
params = self._params.md()
test = self._initializer.md()
# Do not use variable_initializer if it is
if '\n' in test:
return ' (' + params + ')'
return '(' + params + ') ' + test
else:
return ''
@property
def prefix(self) -> str:
if self.is_function:
ret = []
if self.is_virtual:
ret.append('virtual')
return ' '.join(ret)
elif self.kind is Kind.VARIABLE:
return ''
else:
return self.kind.value
@property
def codeblock(self) -> str:
code = []
if self.is_function or self.is_friend:
if self._templateparams.has():
code.append('template<' + self._templateparams.plain() + '>')
typ = self._type.plain()
if typ:
typ += ' '
if self.is_virtual:
typ = 'virtual ' + typ
if self.is_explicit:
typ = 'explicit ' + typ
if self.is_inline:
typ = 'inline ' + typ
if self.is_static:
typ = 'static ' + typ
#if self._params.has():
# code.append(typ + self.name_full_unescaped + ' (')
# params = self._params.array(plain=True)
# for i, param in enumerate(params):
# if i + 1 >= len(params):
# code.append(' ' + param)
# else:
# code.append(' ' + param + ',')
# code.append(') ' + self._specifiers.plain())
#else:
f_code = typ + self.name_full_unescaped + self._specifiers.plain()
f_code = re.sub('\(', '(\n ', f_code)
f_code = re.sub(',', ',\n ', f_code)
f_code = re.sub('\)', '\n)', f_code)
code.append( f_code )
elif self.is_enum:
if self._values.has():
code.append('enum ' + self.name_full_unescaped + ' {')
values = self._values.array(plain=True)
for i, value in enumerate(values):
value = re.sub('\*\*', '', value)
value = re.sub('\\\\', '', value)
if i + 1 >= len(values):
code.append(' ' + value)
else:
code.append(' ' + value + ',')
code.append('};')
else:
code.append('enum ' + self.name_full_unescaped + ';')
elif self.is_define:
if self._params.has():
code.append('#define ' + self.name_full_unescaped + ' (')
params = self._params.array(plain=True)
for i, param in enumerate(params):
if i + 1 >= len(params):
code.append(' ' + param)
else:
code.append(' ' + param + ',')
code.append(') ' + self._initializer.plain())
else:
code.append('#define ' + self.name_full_unescaped + ' () ' + self._specifiers.plain())
elif self.is_struct or self.is_union:
pass
if self.is_struct:
code.append('struct ' + self.name_full_unescaped + ' {')
else:
name = self.name_full_unescaped
name = re.sub('.+::','',name)
code.append('union ' + name + ' {')
if self.has_children:
definitions = []
for child in self._children:
if child.name and child.type:
definitions.append(child._definition.plain())
typ = child._type.plain();
unioncode = ''
if 'union' in typ:
if '::' in typ:
typ = re.sub('.+::','',typ)
if typ[0] == '@':
typ = ''
node = None
if not '@' in child._type.plain():
typ = 'union ' + typ
nodename = re.sub('union ','',child._type.plain())
node = self._cache.get_on_name(nodename)
unioncode = re.sub('union.+{', '{', node.codeblock)
else:
nodename = child.name
node = self._cache.get_on_name(nodename)
typ = 'union'
#unioncode = 'union '
unioncode = re.sub('\n','\n ', unioncode)
name = child.name;
if unioncode:
code.append(' ' + typ + unioncode + name + ';')
else:
if child.has_specifiers:
code.append(' ' + typ + ' ' + name + child.specifiers + ';')
else:
code.append(' ' + typ + ' ' + name + ';')
for child in self._children:
if child.name and ( not child.type):
get_union = 0
for definition1 in definitions:
if 'union ' + child.name in definition1:
continue
get_union = 1
if get_union:
continue
unioncode = child.codeblock
if 'union' in unioncode:
unioncode = re.sub(' .+::', ' ', unioncode)
unioncode = ' ' + unioncode + ';'
unioncode = re.sub('\n', '\n ', unioncode)
code.append(unioncode)
code.append('}')
else:
code.append(self._definition.plain())
return '\n'.join(code)
@property
def has_base_classes(self) -> bool:
return len(self._xml.findall('basecompoundref')) > 0
@property
def has_derived_classes(self) -> bool:
return len(self._xml.findall('derivedcompoundref')) > 0
@property
def base_classes(self) -> ['Node']:
ret = []
for basecompoundref in self._xml.findall('basecompoundref'):
refid = basecompoundref.get('refid')
if refid is None:
ret.append(basecompoundref.text)
else:
ret.append(self._cache.get(refid))
return ret
@property
def derived_classes(self) -> ['Node']:
ret = []
for derivedcompoundref in self._xml.findall('derivedcompoundref'):
refid = derivedcompoundref.get('refid')
if refid is None:
ret.append(derivedcompoundref.text)
else:
ret.append(self._cache.get(refid))
return ret
@property
def has_details(self) -> bool:
return self._details.has()
def gxdocref_process(self, source_str):
dist_str = source_str
# doxygen 在生成xml时，把一部分gxdocref当作\ref处理，这里把这部分转换回原型
dist_str = re.sub("(gxdocref )\[\*\*(\S+)\*\*\]\(\S*\)", "\g<1>\g<2> ", dist_str)
if re.findall('gxdocref \[', dist_str):
dist_str = re.sub('gxdocref \[','[',dist_str)
return dist_str
# name = self._name.replace('_', '\\_')
#refs = re.findall('gxdocref +[\S]+', dist_str)
refs = re.findall('gxdocref +[^ \n\r\t\v\f、。，；,.;]+', dist_str)
if refs:
for ref in refs:
refname = re.sub('gxdocref[\s]+', '', ref)
refname = refname.replace('\\','')
node = self._cache.get_on_name(refname)
if not node:
continue
refname = refname.replace('_','\\\\_')
#dist_str = re.sub('gxdocref *'+refname,'[**'+refname+'**]('+
# node.url + ')', dist_str)
if self.doc_type == 'all':
dist_str = re.sub('gxdocref *'+refname,'[**'+refname+'**]('+
node.url + ')', dist_str)
else:
#elif self.doc_type == 'part':
dist_str = re.sub('gxdocref *'+refname,'[**'+refname+'**]('+ \
node.url + ')', dist_str)
return dist_str
@property
def details(self) -> str:
details = self._details.md()
details = self.gxdocref_process(details)
return details
@property
def has_brief(self) -> bool:
return self._brief.has()
@property
def brief(self) -> str:
brief = self._brief.md()
brief = self.gxdocref_process(brief)
return brief
@property
def has_includes(self) -> bool:
return self._includes.has()
@property
def includes(self) -> str:
return self._includes.plain()
@property
def has_type(self) -> bool:
return self._type.has()
@property
def typedefstructtype(self) -> bool:
type = self.type
if "struct " in type:
return True
return False
@property
def type(self) -> str:
return self._type.md()
@property
def typerefid(self) -> str:
node = self._cache.get_on_name( self.type )
if node == None:
return self.type + "NotFound"
while node.is_typedef:
node = self.cache.get_on_name( node.type )
if node == None:
return self.type + "NotFound"
return node.refid
@property
def has_location(self) -> bool:
return self._location.has()
@property
def location(self) -> str:
return self._location.plain()
@property
def has_params(self) -> bool:
return self._params.has()
@property
def params(self) -> str:
if self._params.has():
return '(' + self._params.md() + ')'
elif self.is_function:
return '()'
else:
return ''
@property
def has_templateparams(self) -> bool:
return self._templateparams.has()
@property
def templateparams(self) -> str:
return self._templateparams.md()
@property
def has_specifiers(self) -> bool:
return self._specifiers.has()
@property
def specifiers(self) -> str:
return self._specifiers.plain()
@property
def has_values(self) -> bool:
return self._values.has()
@property
def values(self) -> str:
return self._values.md()
@property
def has_initializer(self) -> bool:
return self._initializer.has()
@property
def initializer(self) -> str:
return self._initializer.md()
@property
def has_definition(self) -> bool:
return self._definition.has()
@property
def definition(self) -> str:
return self._definition.plain()
@property
def has_programlisting(self) -> bool:
return self._programlisting.has()
@property
def programlisting(self) -> str:
return self._programlisting.md()
@property
def is_resolved(self) -> bool:
return True
@property
def reimplements(self) -> 'Node':
reimp = self._xml.find('reimplements')
if reimp is not None:
return self._cache.get(reimp.get('refid'))
else:
return None
class DummyNode:
def __init__(self, name_long: str, derived_classes: [Node], kind: Kind):
self.name_long = name_long
self.derived_classes = derived_classes
self.kind = kind
@property
def is_resolved(self) -> bool:
return False | PypiClean |
/Better-Than-You-Found-It-0.9.1.tar.gz/Better-Than-You-Found-It-0.9.1/pep8radius/main.py | from __future__ import print_function
import os
import sys
try:
from configparser import ConfigParser as SafeConfigParser, NoSectionError
except ImportError: # py2, pragma: no cover
from ConfigParser import SafeConfigParser, NoSectionError
from pep8radius.radius import Radius, RadiusFromDiff
from pep8radius.shell import CalledProcessError # with 2.6 compat
__version__ = version = '0.9.1'
DEFAULT_IGNORE = 'E24'
DEFAULT_INDENT_SIZE = 4
if sys.platform == 'win32': # pragma: no cover
DEFAULT_CONFIG = os.path.expanduser(r'~\.pep8')
else:
DEFAULT_CONFIG = os.path.join(os.getenv('XDG_CONFIG_HOME') or
os.path.expanduser('~/.config'), 'pep8')
PROJECT_CONFIG = ('setup.cfg', 'tox.ini', '.pep8')
def main(args=None, vc=None, cwd=None, apply_config=False):
"""PEP8 clean only the parts of the files touched since the last commit, a
previous commit or branch."""
import signal
try: # pragma: no cover
# Exit on broken pipe.
signal.signal(signal.SIGPIPE, signal.SIG_DFL)
except AttributeError: # pragma: no cover
# SIGPIPE is not available on Windows.
pass
try:
if args is None:
args = []
try:
# Note: argparse on py 2.6 you can't pass a set
# TODO neater solution for this!
args_set = set(args)
except TypeError:
args_set = args # args is a Namespace
if '--version' in args_set or getattr(args_set, 'version', 0):
print(version)
sys.exit(0)
if '--list-fixes' in args_set or getattr(args_set, 'list_fixes', 0):
from autopep8 import supported_fixes
for code, description in sorted(supported_fixes()):
print('{code} - {description}'.format(
code=code, description=description))
sys.exit(0)
try:
try:
args = parse_args(args, apply_config=apply_config)
except TypeError:
pass # args is already a Namespace (testing)
if args.from_diff: # pragma: no cover
r = Radius.from_diff(args.from_diff.read(),
options=args, cwd=cwd)
else:
r = Radius(rev=args.rev, options=args, vc=vc, cwd=cwd)
except NotImplementedError as e: # pragma: no cover
print(e)
sys.exit(1)
except CalledProcessError as c: # pragma: no cover
# cut off usage and exit
output = c.output.splitlines()[0]
print(output)
sys.exit(c.returncode)
r.fix()
except KeyboardInterrupt: # pragma: no cover
return 1
def create_parser():
"""Create the parser for the pep8radius CLI."""
from argparse import ArgumentParser, FileType
description = ("PEP8 clean only the parts of the files which you have "
"touched since the last commit, a previous commit or "
"(the merge-base of) a branch.")
epilog = ("Run before you commit, against a previous commit or "
"branch before merging.")
parser = ArgumentParser(description=description,
epilog=epilog,
prog='pep8radius')
parser.add_argument('rev',
help='commit or name of branch to compare against',
nargs='?')
parser.add_argument('--version',
help='print version number and exit',
action='store_true')
parser.add_argument('-d', '--diff', action='store_true', dest='diff',
help='print the diff of fixed source vs original')
parser.add_argument('-i', '--in-place', action='store_true',
help="make the fixes in place; modify the files")
parser.add_argument('--no-color', action='store_true',
help='do not print diffs in color '
'(default is to use color)')
parser.add_argument('-v', '--verbose', action='count', dest='verbose',
default=0,
help='print verbose messages; '
'multiple -v result in more verbose messages '
'(one less -v is passed to autopep8)')
parser.add_argument('--from-diff', type=FileType('r'), metavar='DIFF',
help="Experimental: rather than calling out to version"
" control, just pass in a diff; "
"the modified lines will be fixed")
ap = parser.add_argument_group('pep8', 'Pep8 options to pass to autopep8.')
ap.add_argument('-p', '--pep8-passes', metavar='n',
default=-1, type=int,
help='maximum number of additional pep8 passes '
'(default: infinite)')
ap.add_argument('-a', '--aggressive', action='count', default=0,
help='enable non-whitespace changes; '
'multiple -a result in more aggressive changes')
ap.add_argument('--experimental', action='store_true',
help='enable experimental fixes')
ap.add_argument('--exclude', metavar='globs',
help='exclude file/directory names that match these '
'comma-separated globs')
ap.add_argument('--list-fixes', action='store_true',
help='list codes for fixes and exit; '
'used by --ignore and --select')
ap.add_argument('--ignore', metavar='errors', default='',
help='do not fix these errors/warnings '
'(default: {0})'.format(DEFAULT_IGNORE))
ap.add_argument('--select', metavar='errors', default='',
help='fix only these errors/warnings (e.g. E4,W)')
ap.add_argument('--max-line-length', metavar='n', default=79, type=int,
help='set maximum allowed line length '
'(default: %(default)s)')
ap.add_argument('--indent-size', default=DEFAULT_INDENT_SIZE,
type=int, metavar='n',
help='number of spaces per indent level '
'(default %(default)s)')
df = parser.add_argument_group('docformatter',
'Fix docstrings for PEP257.')
df.add_argument('-f', '--docformatter', action='store_true',
help='Use docformatter')
df.add_argument('--no-blank', dest='post_description_blank',
action='store_false',
help='Do not add blank line after description')
df.add_argument('--pre-summary-newline',
action='store_true',
help='add a newline before the summary of a '
'multi-line docstring')
df.add_argument('--force-wrap', action='store_true',
help='force descriptions to be wrapped even if it may '
'result in a mess')
cg = parser.add_argument_group('config',
'Change default options based on global '
'or local (project) config files.')
cg.add_argument('--global-config',
default=DEFAULT_CONFIG,
metavar='filename',
help='path to global pep8 config file; ' +
" if this file does not exist then this is ignored" +
'(default: %s)' % DEFAULT_CONFIG)
cg.add_argument('--ignore-local-config', action='store_true',
help="don't look for and apply local config files; "
'if not passed, defaults are updated with any '
"config files in the project's root directory")
return parser
def parse_args(arguments=None, root=None, apply_config=False):
"""Parse the arguments from the CLI.
If apply_config then we first look up and apply configs using
apply_config_defaults.
"""
if arguments is None:
arguments = []
parser = create_parser()
args = parser.parse_args(arguments)
if apply_config:
parser = apply_config_defaults(parser, args, root=root)
args = parser.parse_args(arguments)
# sanity check args (from autopep8)
if args.max_line_length <= 0: # pragma: no cover
parser.error('--max-line-length must be greater than 0')
if args.select:
args.select = _split_comma_separated(args.select)
if args.ignore:
args.ignore = _split_comma_separated(args.ignore)
elif not args.select and args.aggressive:
# Enable everything by default if aggressive.
args.select = ['E', 'W']
else:
args.ignore = _split_comma_separated(DEFAULT_IGNORE)
if args.exclude:
args.exclude = _split_comma_separated(args.exclude)
else:
args.exclude = []
return args
def apply_config_defaults(parser, args, root):
"""Update the parser's defaults from either the arguments' config_arg or
the config files given in config_files(root)."""
if root is None:
try:
from pep8radius.vcs import VersionControl
root = VersionControl.which().root_dir()
except NotImplementedError:
pass # don't update local, could be using as module
config = SafeConfigParser()
config.read(args.global_config)
if root and not args.ignore_local_config:
config.read(local_config_files(root))
try:
defaults = dict((k.lstrip('-').replace('-', '_'), v)
for k, v in config.items("pep8"))
parser.set_defaults(**defaults)
except NoSectionError:
pass # just do nothing, potentially this could raise ?
return parser
def local_config_files(root):
"""Returns a list of (possible) config files in the project root
directory."""
return [os.path.join(root, c) for c in PROJECT_CONFIG]
def _split_comma_separated(string):
"""Return a set of strings."""
return set(filter(None, string.split(',')))
def _main(args=None, vc=None, cwd=None): # pragma: no cover
if args is None:
args = sys.argv[1:]
return main(args=args, vc=vc, cwd=cwd, apply_config=True)
if __name__ == "__main__": # pragma: no cover
_main() | PypiClean |
/AutoTransform-1.1.1a8-py3-none-any.whl/autotransform/step/action/reviewers.py |
# @black_format
"""All Actions associated with a Change's reviewers."""
from typing import Any, ClassVar, Dict, List
from pydantic import Field, root_validator, validator
from autotransform.change.base import Change
from autotransform.step.action.base import Action, ActionName
class AddReviewersAction(Action):
"""Adds reviewers to an existing Change.
Attributes:
reviewers(optional, List[str]): The list of reviewers to add. Defaults to [].
team_reviewers(optional, List[str]): The list of team reviewers to add. Defaults to [].
name (ClassVar[ActionName]): The name of the component.
"""
reviewers: List[str] = Field(default_factory=list)
team_reviewers: List[str] = Field(default_factory=list)
name: ClassVar[ActionName] = ActionName.ADD_REVIEWERS
# pylint: disable=invalid-name
@validator("reviewers")
@classmethod
def labels_must_be_non_empty(cls, v: List[str]) -> List[str]:
"""Validates the reviewers are not empty strings.
Args:
v (List[str]): The reviewers to add to the Change.
Raises:
ValueError: Raises an error if a reviewer is an empty string.
Returns:
List[str]: The unmodified reviewers to add.
"""
if any(reviewer == "" for reviewer in v):
raise ValueError("Reviewers must be non-empty strings")
return v
# pylint: disable=invalid-name
@validator("team_reviewers")
@classmethod
def team_reviewers_must_be_non_empty(cls, v: List[str]) -> List[str]:
"""Validates the team reviewers are not empty strings.
Args:
v (List[str]): The team reviewers to add to the Change.
Raises:
ValueError: Raises an error if a team reviewer is an empty string.
Returns:
List[str]: The unmodified team reviewers to add.
"""
if any(team_reviewer == "" for team_reviewer in v):
raise ValueError("Team reviewers must be non-empty strings")
return v
@root_validator
@classmethod
def some_reviewers_must_be_provided(cls, values: Dict[str, Any]) -> Dict[str, Any]:
"""Checks that either reviewers or team reviewers are supplied.
Args:
values (Dict[str, Any]): The values for the action.
Raises:
ValueError: Raises an error if neither reviewers nor team reviewers are supplied.
Returns:
Dict[str, Any]: The unmodified values.
"""
reviewers, team_reviewers = values.get("reviewers"), values.get("team_reviewers")
if not reviewers and not team_reviewers:
raise ValueError("Either reviewers or team reviewers must be supplied")
return values
def run(self, change: Change) -> bool:
"""Adds reviewers to the specified Change.
Args:
change (Change): The Change to add reviewers to.
Returns:
bool: Whether the reviewers were added successful.
"""
return change.add_reviewers(self.reviewers, self.team_reviewers)
class AddOwnersAsReviewersAction(Action):
"""Adds the owners of a Schema as reviewers for the Change.
Attributes:
name (ClassVar[ActionName]): The name of the component.
"""
name: ClassVar[ActionName] = ActionName.ADD_OWNERS_AS_REVIEWERS
def run(self, change: Change) -> bool:
"""Adds owners as reviewers to the specified Change.
Args:
change (Change): The Change to add reviewers to.
Returns:
bool: Whether the reviewers were added successful.
"""
return change.add_reviewers(change.get_schema().config.owners, [])
class AddOwnersAsTeamReviewersAction(Action):
"""Adds the owners of a Schema as team reviewers for the Change.
Attributes:
name (ClassVar[ActionName]): The name of the component.
"""
name: ClassVar[ActionName] = ActionName.ADD_OWNERS_AS_TEAM_REVIEWERS
def run(self, change: Change) -> bool:
"""Adds owners as team reviewers to the specified Change.
Args:
change (Change): The Change to add team reviewers to.
Returns:
bool: Whether the team reviewers were added successful.
"""
return change.add_reviewers([], change.get_schema().config.owners) | PypiClean |
/CellProfiler-4.2.6.tar.gz/CellProfiler-4.2.6/cellprofiler/gui/module_view/_filter_panel_controller.py | import logging
import wx
from cellprofiler_core.setting.filter import Filter, FilterPredicate
from cellprofiler_core.setting.filter._filter import (
AND_PREDICATE,
OR_PREDICATE,
LITERAL_PREDICATE,
)
from ._module_view import ModuleView
from ..utilities.module_view import edit_control_name
class FilterPanelController(object):
"""Handle representation of the filter panel
The code for handling the filter UI is moderately massive, so it gets
its own class, if for no other reason than to organize the code.
"""
def __init__(self, module_view, v, panel):
assert isinstance(module_view, ModuleView)
assert isinstance(v, Filter)
self.module_view = module_view
self.v = v
self.panel = wx.Panel(
self.module_view.module_panel,
style=wx.TAB_TRAVERSAL,
name=edit_control_name(self.v),
)
self.panel.Sizer = wx.BoxSizer(wx.VERTICAL)
self.sizer_dict = {}
self.sizer_item_dict = {}
self.stretch_spacer_dict = {}
self.hide_show_dict = {}
self.update()
def get_sizer(self, address):
"""Find or create the sizer that's associated with a particular address"""
key = tuple(address)
line_name = self.line_name(address)
self.hide_show_dict[line_name] = True
if key in self.sizer_dict:
if len(address) > 0:
self.hide_show_dict[self.remove_button_name(address)] = True
self.hide_show_dict[self.add_button_name(address)] = True
self.hide_show_dict[self.add_group_button_name(address)] = True
return self.sizer_dict[key]
#
# Four possibilities:
#
# * The sizer is the top level one
# * There is a sizer at the same level whose last address is one more.
# * There are sizers at the same level whose next to last to address is
# one more than the next to last address of the address and whose
# last address is zero.
# * None of the above which means the sizer can be added at the end.
#
line_style = wx.LI_HORIZONTAL | wx.BORDER_SUNKEN
sizer = wx.BoxSizer(wx.HORIZONTAL)
self.indent(sizer, address)
self.stretch_spacer_dict[key] = sizer.AddStretchSpacer()
line = wx.StaticLine(
self.panel, -1, style=line_style, name=self.line_name(address)
)
if len(address) == 0:
key = None
else:
sizer.Add(
self.make_delete_button(address), 0, wx.ALIGN_CENTER_VERTICAL,
)
sizer.Add(
self.make_add_rule_button(address), 0, wx.ALIGN_CENTER_VERTICAL,
)
sizer.Add(
self.make_add_rules_button(address), 0, wx.ALIGN_CENTER_VERTICAL,
)
key = tuple(address[:-1] + [address[-1] + 1])
if key not in self.sizer_dict:
if len(address) == 1:
key = None
else:
key = tuple(address[:-2] + [address[-2] + 1])
if key not in self.sizer_dict:
key = None
if key is not None:
next_sizer = self.sizer_dict[key]
idx = self.get_sizer_index(self.panel.Sizer, next_sizer)
self.panel.Sizer.Insert(idx, sizer, 0, wx.EXPAND)
self.panel.Sizer.Insert(idx + 1, line, 0, wx.EXPAND)
else:
self.panel.Sizer.Add(sizer, 0, wx.EXPAND)
self.panel.Sizer.Add(line, 0, wx.EXPAND)
self.sizer_dict[tuple(address)] = sizer
return sizer
def get_tokens(self):
try:
tokens = self.v.parse()
except Exception as e:
logging.debug(
"Failed to parse filter (value=%s): %s", self.v.value_text, str(e)
)
tokens = self.v.default()
#
# Always require an "and" or "or" clause
#
if len(tokens) == 0 or (tokens[0] not in (AND_PREDICATE, OR_PREDICATE,)):
tokens = [AND_PREDICATE, tokens]
return tokens
def update(self):
self.inside_update = True
try:
structure = self.get_tokens()
for key in self.hide_show_dict:
self.hide_show_dict[key] = False
self.populate_subpanel(structure, [])
for key, value in list(self.hide_show_dict.items()):
self.panel.FindWindowByName(key).Show(value)
self.panel.Layout()
except:
logging.exception("Threw exception while updating filter")
finally:
self.inside_update = False
ANY_ALL_PREDICATES = [
AND_PREDICATE,
OR_PREDICATE,
]
def any_all_choices(self):
return [x.display_name for x in self.ANY_ALL_PREDICATES]
@staticmethod
def indent(sizer, address):
assert isinstance(sizer, wx.Sizer)
if len(address) == 0:
return
sizer.AddSpacer(len(address) * 20)
def find_and_mark(self, name):
"""Find a control and mark it to be shown"""
ctrl = self.panel.FindWindowByName(name)
self.hide_show_dict[name] = True
return ctrl
@staticmethod
def get_sizer_index(sizer, item):
if isinstance(item, wx.Sizer):
indexes = [
i
for i, s in enumerate(sizer.GetChildren())
if s.IsSizer() and s.GetSizer() is item
]
elif isinstance(item, wx.Window):
indexes = [
i
for i, s in enumerate(sizer.GetChildren())
if s.IsWindow() and s.GetWindow() is item
]
elif isinstance(item, wx.SizerItem):
return sizer.GetChildren().index(item)
if len(indexes) > 0:
return indexes[0]
return None
def on_value_change(self, event, new_text, timeout=None):
if not self.inside_update:
self.module_view.on_value_change(
self.v, self.panel, new_text, event, timeout
)
def make_delete_button(self, address):
name = self.remove_button_name(address)
button = self.find_and_mark(name)
if button is not None:
return button
button = wx.Button(self.panel, -1, "-", name=name, style=wx.BU_EXACTFIT)
button.Bind(wx.EVT_BUTTON, lambda event: self.on_delete_rule(event, address))
return button
def on_delete_rule(self, event, address):
logging.debug("Delete row at " + str(address))
structure = self.v.parse()
sequence = self.find_address(structure, address[:-1])
del sequence[address[-1] + 1]
new_text = self.v.build_string(structure)
self.on_value_change(event, new_text)
def make_add_rule_button(self, address):
name = self.add_button_name(address)
button = self.find_and_mark(name)
if button is not None:
return button
button = wx.Button(self.panel, -1, "+", name=name, style=wx.BU_EXACTFIT)
button.Bind(wx.EVT_BUTTON, lambda event: self.on_add_rule(event, address))
return button
def on_add_rule(self, event, address):
logging.debug("Add rule after " + str(address))
structure = self.v.parse()
sequence = self.find_address(structure, address[:-1])
new_rule = self.v.default()
sequence.insert(address[-1] + 2, new_rule)
new_text = self.v.build_string(structure)
self.on_value_change(event, new_text)
def make_add_rules_button(self, address):
name = self.add_group_button_name(address)
button = self.find_and_mark(name)
if button is not None:
return button
button = wx.Button(self.panel, -1, "...", name=name, style=wx.BU_EXACTFIT)
button.Bind(wx.EVT_BUTTON, lambda event: self.on_add_rules(event, address))
return button
def on_add_rules(self, event, address):
logging.debug("Add rules after " + str(address))
structure = self.v.parse()
sequence = self.find_address(structure, address[:-1])
new_rule = [OR_PREDICATE, self.v.default()]
sequence.insert(address[-1] + 2, new_rule)
new_text = self.v.build_string(structure)
self.on_value_change(event, new_text)
def make_predicate_choice(self, predicates, index, address, sizer):
name = self.choice_name(index, address)
choice_ctrl = self.find_and_mark(name)
choices = [x.display_name for x in predicates]
if choice_ctrl is not None:
items = choice_ctrl.GetItems()
if len(items) != len(choices) or any(
[choice not in items for choice in choices]
):
choice_ctrl.SetItems(choices)
return choice_ctrl
choice_ctrl = wx.Choice(self.panel, -1, choices=choices, name=name)
choice_ctrl.Bind(
wx.EVT_CHOICE,
lambda event: self.on_predicate_changed(event, index, address),
)
choice_ctrl.Bind(wx.EVT_MOUSEWHEEL, self.ignore_mousewheel)
self.add_to_sizer(sizer, choice_ctrl, index, address)
return choice_ctrl
def on_predicate_changed(self, event, index, address):
logging.debug(
"Predicate choice at %d / %s changed" % (index, self.saddress(address))
)
structure = self.v.parse()
sequence = self.find_address(structure, address)
while len(sequence) <= index:
# The sequence is bad (e.g., bad pipeline or metadata collection)
# Fill in enough to deal
#
sequence.append(
self.v.predicates[0]
if len(sequence) == 0
else sequence[-1].subpredicates[0]
)
if index == 0:
predicates = self.v.predicates
else:
predicates = sequence[index - 1].subpredicates
new_predicate = predicates[event.GetSelection()]
sequence[index] = new_predicate
predicates = new_predicate.subpredicates
#
# Make sure following predicates are legal
#
for index in range(index + 1, len(sequence)):
if isinstance(sequence[index], str):
is_good = LITERAL_PREDICATE in predicates
else:
matches = [p for p in predicates if sequence[index].symbol == p.symbol]
is_good = len(matches) == 1
if is_good:
sequence[index] = matches[0]
if not is_good:
del sequence[index:]
sequence += self.v.default(predicates)
break
if not isinstance(sequence[index], FilterPredicate):
break
predicates = sequence[index].subpredicates
new_text = self.v.build_string(structure)
self.on_value_change(event, new_text)
def add_to_sizer(self, sizer, item, index, address):
"""Insert the item in the sizer at the right location
sizer - sizer for the line
item - the control to be added
index - index of the control within the sizer
address - address of the sizer
"""
key = tuple(address + [index])
next_key = tuple(address + [index + 1])
if next_key in self.sizer_item_dict:
next_ctrl = self.sizer_item_dict[next_key]
else:
next_ctrl = self.stretch_spacer_dict[tuple(address)]
index = self.get_sizer_index(sizer, next_ctrl)
sizer.Insert(index, item, 0, wx.ALIGN_LEFT)
if key not in self.sizer_item_dict:
self.sizer_item_dict[key] = item
def make_literal(self, token, index, address, sizer):
name = self.literal_name(index, address)
literal_ctrl = self.find_and_mark(name)
if literal_ctrl is not None:
if literal_ctrl.GetValue() != token:
literal_ctrl.SetValue(token)
return literal_ctrl
literal_ctrl = wx.TextCtrl(self.panel, -1, token, name=name)
literal_ctrl.Bind(
wx.EVT_TEXT, lambda event: self.on_literal_changed(event, index, address)
)
self.add_to_sizer(sizer, literal_ctrl, index, address)
return literal_ctrl
def on_literal_changed(self, event, index, address):
logging.debug("Literal at %d / %s changed" % (index, self.saddress(address)))
try:
structure = self.v.parse()
sequence = self.find_address(structure, address)
while len(sequence) <= index:
# The sequence is bad (e.g., bad pipeline or metadata collection)
# Fill in enough to deal
#
sequence.append(
self.v.predicates[0]
if len(sequence) == 0
else sequence[-1].subpredicates[0]
)
sequence[index] = event.GetString()
except:
structure = self.v.default()
new_text = self.v.build_string(structure)
self.on_value_change(
event, new_text, timeout=None if self.v.reset_view else False
)
def make_anyall_ctrl(self, address):
anyall = wx.Choice(
self.panel,
-1,
choices=self.any_all_choices(),
name=self.anyall_choice_name(address),
)
anyall.Bind(wx.EVT_CHOICE, lambda event: self.on_anyall_changed(event, address))
anyall.Bind(wx.EVT_MOUSEWHEEL, self.ignore_mousewheel)
return anyall
def on_anyall_changed(self, event, address):
logging.debug("Any / all choice at %s changed" % self.saddress(address))
structure = self.v.parse()
sequence = self.find_address(structure, address)
predicate = self.ANY_ALL_PREDICATES[event.GetSelection()]
sequence[0] = predicate
new_text = self.v.build_string(structure)
self.on_value_change(event, new_text)
def find_address(self, sequence, address):
"""Find the sequence with the given address"""
if len(address) == 0:
return sequence
subsequence = sequence[address[0] + 1]
return self.find_address(subsequence, address[1:])
def populate_subpanel(self, structure, address):
parent_sizer = self.panel.Sizer
any_all_name = self.anyall_choice_name(address)
anyall = self.find_and_mark(any_all_name)
self.hide_show_dict[self.static_text_name(0, address)] = True
if len(address) == 0:
self.hide_show_dict[self.static_text_name(1, address)] = True
if anyall is None:
anyall = self.make_anyall_ctrl(address)
sizer = self.get_sizer(address)
idx = self.get_sizer_index(sizer, self.stretch_spacer_dict[tuple(address)])
if len(address) == 0:
text = wx.StaticText(
self.panel, -1, "Match", name=self.static_text_name(0, address)
)
sizer.Insert(idx, text, 0, wx.ALIGN_LEFT | wx.ALIGN_CENTER_VERTICAL)
sizer.Insert(idx + 1, 3, 0)
sizer.Insert(
idx + 2, anyall, 0, wx.ALIGN_LEFT | wx.ALIGN_CENTER_VERTICAL
)
sizer.Insert(idx + 3, 3, 0)
text = wx.StaticText(
self.panel,
-1,
"of the following rules",
name=self.static_text_name(1, address),
)
sizer.Insert(idx + 4, text, 0, wx.ALIGN_LEFT | wx.ALIGN_CENTER_VERTICAL)
else:
sizer.Insert(
idx, anyall, 0, wx.ALIGN_LEFT | wx.ALIGN_CENTER_VERTICAL | wx.RIGHT
)
sizer.Insert(idx + 1, 3, 0)
text = wx.StaticText(
self.panel,
-1,
"of the following are true",
name=self.static_text_name(0, address),
)
sizer.Insert(idx + 2, text, 0, wx.ALIGN_LEFT | wx.ALIGN_CENTER_VERTICAL)
else:
self.hide_show_dict[self.line_name(address)] = True
if len(address) > 0:
#
# Show the buttons for the anyall if not top level
#
self.hide_show_dict[self.remove_button_name(address)] = True
self.hide_show_dict[self.add_button_name(address)] = True
self.hide_show_dict[self.add_group_button_name(address)] = True
if anyall.GetStringSelection() != structure[0].display_name:
anyall.SetStringSelection(structure[0].display_name)
anyall.SetToolTip(structure[0].doc)
#
# Now each subelement should be a list.
#
for subindex, substructure in enumerate(structure[1:]):
subaddress = address + [subindex]
if substructure[0].subpredicates is list:
# A sublist
self.populate_subpanel(substructure, subaddress)
else:
# A list of predicates
sizer = self.get_sizer(subaddress)
predicates = self.v.predicates
for i, token in enumerate(substructure):
if isinstance(token, str):
literal_ctrl = self.make_literal(token, i, subaddress, sizer)
predicates = []
else:
choice_ctrl = self.make_predicate_choice(
predicates, i, subaddress, sizer
)
if choice_ctrl.GetStringSelection() != token.display_name:
choice_ctrl.SetStringSelection(token.display_name)
if token.doc is not None:
choice_ctrl.SetToolTip(token.doc)
predicates = token.subpredicates
i = len(substructure)
while len(predicates) > 0:
#
# We can get here if there's a badly constructed token
# list - for instance if an invalid subpredicate was
# chosen or none existed because of some error, but now
# they do.
#
if len(predicates) == 1 and predicates[0] is LITERAL_PREDICATE:
self.make_literal("", i, subaddress, sizer)
else:
self.make_predicate_choice(predicates, i, subaddress, sizer)
i += 1
predicates = predicates[0].subpredicates
#
# Don't allow delete of only rule
#
name = self.remove_button_name(address + [0])
delete_button = self.panel.FindWindowByName(name)
delete_button.Enable(len(structure) > 2)
@property
def key(self):
return str(self.v.key())
@staticmethod
def saddress(address):
return "_".join([str(x) for x in address])
def anyall_choice_name(self, address):
return "%s_filter_anyall_%s" % (self.key, self.saddress(address))
def choice_name(self, index, address):
return "%s_choice_%d_%s" % (self.key, index, self.saddress(address))
def literal_name(self, index, address):
return "%s_literal_%d_%s" % (self.key, index, self.saddress(address))
def remove_button_name(self, address):
return "%s_remove_%s" % (self.key, self.saddress(address))
def add_button_name(self, address):
return "%s_add_%s" % (self.key, self.saddress(address))
def add_group_button_name(self, address):
return "%s_group_%s" % (self.key, self.saddress(address))
def line_name(self, address):
return "%s_line_%s" % (self.key, self.saddress(address))
def static_text_name(self, index, address):
return "%s_static_text_%d_%s" % (self.key, index, self.saddress(address))
def ignore_mousewheel(self, event):
return | PypiClean |
/EOxServer-1.2.12-py3-none-any.whl/eoxserver/services/ows/wcs/interfaces.py |
class WCSCapabilitiesRendererInterface(object):
""" Interface for WCS Capabilities renderers.
"""
def render(self, params):
""" Render the capabilities including information about the given
coverages.
"""
def supports(self, params):
""" Returns a boolean value to indicate whether or not the renderer is
able to render the capabilities with the given parameters.
"""
class WCSCoverageDescriptionRendererInterface(object):
""" Interface for coverage description renderers.
"""
def render(self, params):
""" Render the description of the given coverages.
"""
def supports(self, params):
""" Returns a boolean value to indicate whether or not the renderer is
able to render the coverage and the given WCS version.
"""
class WCSCoverageRendererInterface(object):
""" Interface for coverage renderers.
"""
def render(self, params):
""" Render the coverage with the given parameters.
"""
def supports(self, params):
""" Returns a boolean value to indicate whether or not the renderer is
able to render the coverage with the given parameters.
"""
class PackageWriterInterface(object):
""" Interface for package writers.
"""
def supports(self, format, params):
""" Return a boolen value, whether or not a writer supports a given
format.
"""
def create_package(self, filename, format, params):
""" Create a package, which the encoder can later add items to with the
`cleanup` and `add_to_package` method.
"""
def cleanup(self, package):
""" Perform any necessary cleanups, like closing files, etc.
"""
def add_to_package(self, package, file_obj, size, location):
""" Add the file object to the package, that is returned by the
`create_package` method.
"""
def get_mime_type(self, package, format, params):
""" Retrieve the output mime type for the given package and/or format
specifier.
"""
def get_file_extension(self, package, format, params):
""" Retrieve the file extension for the given package and format
specifier.
"""
class EncodingExtensionInterface(object):
def supports(self, format, options):
""" Return a boolen value, whether or not an encoding extension
supports a given format.
"""
def parse_encoding_params(self, request):
""" Return a dict, containing all additional encoding parameters from a
given request.
""" | PypiClean |
/DI_engine-0.4.9-py3-none-any.whl/ding/entry/cli.py | from typing import List, Union
import os
import copy
import click
from click.core import Context, Option
import numpy as np
from ding import __TITLE__, __VERSION__, __AUTHOR__, __AUTHOR_EMAIL__
from ding.config import read_config
from .predefined_config import get_predefined_config
def print_version(ctx: Context, param: Option, value: bool) -> None:
if not value or ctx.resilient_parsing:
return
click.echo('{title}, version {version}.'.format(title=__TITLE__, version=__VERSION__))
click.echo('Developed by {author}, {email}.'.format(author=__AUTHOR__, email=__AUTHOR_EMAIL__))
ctx.exit()
def print_registry(ctx: Context, param: Option, value: str):
if value is None:
return
from ding.utils import registries # noqa
if value not in registries:
click.echo('[ERROR]: not support registry name: {}'.format(value))
else:
registered_info = registries[value].query_details()
click.echo('Available {}: [{}]'.format(value, '|'.join(registered_info.keys())))
for alias, info in registered_info.items():
click.echo('\t{}: registered at {}#{}'.format(alias, info[0], info[1]))
ctx.exit()
CONTEXT_SETTINGS = dict(help_option_names=['-h', '--help'])
@click.command(context_settings=CONTEXT_SETTINGS)
@click.option(
'-v',
'--version',
is_flag=True,
callback=print_version,
expose_value=False,
is_eager=True,
help="Show package's version information."
)
@click.option(
'-q',
'--query-registry',
type=str,
callback=print_registry,
expose_value=False,
is_eager=True,
help='query registered module or function, show name and path'
)
@click.option(
'-m',
'--mode',
type=click.Choice(
[
'serial',
'serial_onpolicy',
'serial_sqil',
'serial_dqfd',
'serial_trex',
'serial_trex_onpolicy',
'parallel',
'dist',
'eval',
'serial_reward_model',
'serial_gail',
'serial_offline',
'serial_ngu',
]
),
help='serial-train or parallel-train or dist-train or eval'
)
@click.option('-c', '--config', type=str, help='Path to DRL experiment config')
@click.option(
'-s',
'--seed',
type=int,
default=[0],
multiple=True,
help='random generator seed(for all the possible package: random, numpy, torch and user env)'
)
@click.option('-e', '--env', type=str, help='RL env name')
@click.option('-p', '--policy', type=str, help='DRL policy name')
@click.option('--exp-name', type=str, help='experiment directory name')
@click.option('--train-iter', type=str, default='1e8', help='Maximum policy update iterations in training')
@click.option('--env-step', type=str, default='1e8', help='Maximum collected environment steps for training')
@click.option('--load-path', type=str, default=None, help='Path to load ckpt')
@click.option('--replay-path', type=str, default=None, help='Path to save replay')
# the following arguments are only applied to dist mode
@click.option('--enable-total-log', type=bool, help='whether enable the total DI-engine system log', default=False)
@click.option('--disable-flask-log', type=bool, help='whether disable flask log', default=True)
@click.option(
'-P', '--platform', type=click.Choice(['local', 'slurm', 'k8s']), help='local or slurm or k8s', default='local'
)
@click.option(
'-M',
'--module',
type=click.Choice(['config', 'collector', 'learner', 'coordinator', 'learner_aggregator', 'spawn_learner']),
help='dist module type'
)
@click.option('--module-name', type=str, help='dist module name')
@click.option('-cdh', '--coordinator-host', type=str, help='coordinator host', default='0.0.0.0')
@click.option('-cdp', '--coordinator-port', type=int, help='coordinator port')
@click.option('-lh', '--learner-host', type=str, help='learner host', default='0.0.0.0')
@click.option('-lp', '--learner-port', type=int, help='learner port')
@click.option('-clh', '--collector-host', type=str, help='collector host', default='0.0.0.0')
@click.option('-clp', '--collector-port', type=int, help='collector port')
@click.option('-agh', '--aggregator-host', type=str, help='aggregator slave host', default='0.0.0.0')
@click.option('-agp', '--aggregator-port', type=int, help='aggregator slave port')
@click.option('--add', type=click.Choice(['collector', 'learner']), help='add replicas type')
@click.option('--delete', type=click.Choice(['collector', 'learner']), help='delete replicas type')
@click.option('--restart', type=click.Choice(['collector', 'learner']), help='restart replicas type')
@click.option('--kubeconfig', type=str, default=None, help='the path of Kubernetes configuration file')
@click.option('-cdn', '--coordinator-name', type=str, default=None, help='coordinator name')
@click.option('-ns', '--namespace', type=str, default=None, help='job namespace')
@click.option('-rs', '--replicas', type=int, default=1, help='number of replicas to add/delete/restart')
@click.option('-rpn', '--restart-pod-name', type=str, default=None, help='restart pod name')
@click.option('--cpus', type=int, default=0, help='The requested CPU, read the value from DIJob yaml by default')
@click.option('--gpus', type=int, default=0, help='The requested GPU, read the value from DIJob yaml by default')
@click.option(
'--memory', type=str, default=None, help='The requested Memory, read the value from DIJob yaml by default'
)
@click.option(
'--profile',
type=str,
default=None,
help='profile Time cost by cProfile, and save the files into the specified folder path'
)
def cli(
# serial/eval
mode: str,
config: str,
seed: Union[int, List],
exp_name: str,
env: str,
policy: str,
train_iter: str, # transform into int
env_step: str, # transform into int
load_path: str,
replay_path: str,
# parallel/dist
platform: str,
coordinator_host: str,
coordinator_port: int,
learner_host: str,
learner_port: int,
collector_host: str,
collector_port: int,
aggregator_host: str,
aggregator_port: int,
enable_total_log: bool,
disable_flask_log: bool,
module: str,
module_name: str,
# add/delete/restart
add: str,
delete: str,
restart: str,
kubeconfig: str,
coordinator_name: str,
namespace: str,
replicas: int,
cpus: int,
gpus: int,
memory: str,
restart_pod_name: str,
profile: str,
):
if profile is not None:
from ..utils.profiler_helper import Profiler
profiler = Profiler()
profiler.profile(profile)
train_iter = int(float(train_iter))
env_step = int(float(env_step))
def run_single_pipeline(seed, config):
if config is None:
config = get_predefined_config(env, policy)
else:
config = read_config(config)
if exp_name is not None:
config[0].exp_name = exp_name
if mode == 'serial':
from .serial_entry import serial_pipeline
serial_pipeline(config, seed, max_train_iter=train_iter, max_env_step=env_step)
elif mode == 'serial_onpolicy':
from .serial_entry_onpolicy import serial_pipeline_onpolicy
serial_pipeline_onpolicy(config, seed, max_train_iter=train_iter, max_env_step=env_step)
elif mode == 'serial_sqil':
from .serial_entry_sqil import serial_pipeline_sqil
expert_config = input("Enter the name of the config you used to generate your expert model: ")
serial_pipeline_sqil(config, expert_config, seed, max_train_iter=train_iter, max_env_step=env_step)
elif mode == 'serial_reward_model':
from .serial_entry_reward_model_offpolicy import serial_pipeline_reward_model_offpolicy
serial_pipeline_reward_model_offpolicy(config, seed, max_train_iter=train_iter, max_env_step=env_step)
elif mode == 'serial_gail':
from .serial_entry_gail import serial_pipeline_gail
expert_config = input("Enter the name of the config you used to generate your expert model: ")
serial_pipeline_gail(
config, expert_config, seed, max_train_iter=train_iter, max_env_step=env_step, collect_data=True
)
elif mode == 'serial_dqfd':
from .serial_entry_dqfd import serial_pipeline_dqfd
expert_config = input("Enter the name of the config you used to generate your expert model: ")
assert (expert_config == config[:config.find('_dqfd')] + '_dqfd_config.py'), "DQFD only supports "\
+ "the models used in q learning now; However, one should still type the DQFD config in this "\
+ "place, i.e., {}{}".format(config[:config.find('_dqfd')], '_dqfd_config.py')
serial_pipeline_dqfd(config, expert_config, seed, max_train_iter=train_iter, max_env_step=env_step)
elif mode == 'serial_trex':
from .serial_entry_trex import serial_pipeline_trex
serial_pipeline_trex(config, seed, max_train_iter=train_iter, max_env_step=env_step)
elif mode == 'serial_trex_onpolicy':
from .serial_entry_trex_onpolicy import serial_pipeline_trex_onpolicy
serial_pipeline_trex_onpolicy(config, seed, max_train_iter=train_iter, max_env_step=env_step)
elif mode == 'serial_offline':
from .serial_entry_offline import serial_pipeline_offline
serial_pipeline_offline(config, seed, max_train_iter=train_iter)
elif mode == 'serial_ngu':
from .serial_entry_ngu import serial_pipeline_ngu
serial_pipeline_ngu(config, seed, max_train_iter=train_iter)
elif mode == 'parallel':
from .parallel_entry import parallel_pipeline
parallel_pipeline(config, seed, enable_total_log, disable_flask_log)
elif mode == 'dist':
from .dist_entry import dist_launch_coordinator, dist_launch_collector, dist_launch_learner, \
dist_prepare_config, dist_launch_learner_aggregator, dist_launch_spawn_learner, \
dist_add_replicas, dist_delete_replicas, dist_restart_replicas
if module == 'config':
dist_prepare_config(
config, seed, platform, coordinator_host, learner_host, collector_host, coordinator_port,
learner_port, collector_port
)
elif module == 'coordinator':
dist_launch_coordinator(config, seed, coordinator_port, disable_flask_log)
elif module == 'learner_aggregator':
dist_launch_learner_aggregator(
config, seed, aggregator_host, aggregator_port, module_name, disable_flask_log
)
elif module == 'collector':
dist_launch_collector(config, seed, collector_port, module_name, disable_flask_log)
elif module == 'learner':
dist_launch_learner(config, seed, learner_port, module_name, disable_flask_log)
elif module == 'spawn_learner':
dist_launch_spawn_learner(config, seed, learner_port, module_name, disable_flask_log)
elif add in ['collector', 'learner']:
dist_add_replicas(add, kubeconfig, replicas, coordinator_name, namespace, cpus, gpus, memory)
elif delete in ['collector', 'learner']:
dist_delete_replicas(delete, kubeconfig, replicas, coordinator_name, namespace)
elif restart in ['collector', 'learner']:
dist_restart_replicas(restart, kubeconfig, coordinator_name, namespace, restart_pod_name)
else:
raise Exception
elif mode == 'eval':
from .application_entry import eval
eval(config, seed, load_path=load_path, replay_path=replay_path)
if mode is None:
raise RuntimeError("Please indicate at least one argument.")
if isinstance(seed, (list, tuple)):
assert len(seed) > 0, "Please input at least 1 seed"
if len(seed) == 1: # necessary
run_single_pipeline(seed[0], config)
else:
if exp_name is None:
multi_exp_root = os.path.basename(config).split('.')[0] + '_result'
else:
multi_exp_root = exp_name
if not os.path.exists(multi_exp_root):
os.makedirs(multi_exp_root)
abs_config_path = os.path.abspath(config)
origin_root = os.getcwd()
for s in seed:
seed_exp_root = os.path.join(multi_exp_root, 'seed{}'.format(s))
if not os.path.exists(seed_exp_root):
os.makedirs(seed_exp_root)
os.chdir(seed_exp_root)
run_single_pipeline(s, abs_config_path)
os.chdir(origin_root)
else:
raise TypeError("invalid seed type: {}".format(type(seed))) | PypiClean |
/Kr0nOs_Bot-3.3.11-py3-none-any.whl/redbot/core/utils/common_filters.py | import re
__all__ = [
"URL_RE",
"INVITE_URL_RE",
"MASS_MENTION_RE",
"filter_urls",
"filter_invites",
"filter_mass_mentions",
"filter_various_mentions",
"normalize_smartquotes",
"escape_spoilers",
"escape_spoilers_and_mass_mentions",
]
# regexes
URL_RE = re.compile(r"(https?|s?ftp)://(\S+)", re.I)
INVITE_URL_RE = re.compile(r"(discord\.(?:gg|io|me|li)|discordapp\.com\/invite)\/(\S+)", re.I)
MASS_MENTION_RE = re.compile(r"(@)(?=everyone|here)") # This only matches the @ for sanitizing
OTHER_MENTION_RE = re.compile(r"(<)(@[!&]?|#)(\d+>)")
SMART_QUOTE_REPLACEMENT_DICT = {
"\u2018": "'", # Left single quote
"\u2019": "'", # Right single quote
"\u201C": '"', # Left double quote
"\u201D": '"', # Right double quote
}
SMART_QUOTE_REPLACE_RE = re.compile("|".join(SMART_QUOTE_REPLACEMENT_DICT.keys()))
SPOILER_CONTENT_RE = re.compile(
r"(?s)(?<!\\)(?P<OPEN>\|{2})(?P<SPOILERED>.*?)(?<!\\)(?P<CLOSE>\|{2})"
)
# convenience wrappers
def filter_urls(to_filter: str) -> str:
"""Get a string with URLs sanitized.
This will match any URLs starting with these protocols:
- ``http://``
- ``https://``
- ``ftp://``
- ``sftp://``
Parameters
----------
to_filter : str
The string to filter.
Returns
-------
str
The sanitized string.
"""
return URL_RE.sub("[SANITIZED URL]", to_filter)
def filter_invites(to_filter: str) -> str:
"""Get a string with discord invites sanitized.
Will match any discord.gg, discordapp.com/invite, discord.me, or discord.io/discord.li
invite URL.
Parameters
----------
to_filter : str
The string to filter.
Returns
-------
str
The sanitized string.
"""
return INVITE_URL_RE.sub("[SANITIZED INVITE]", to_filter)
def filter_mass_mentions(to_filter: str) -> str:
"""Get a string with mass mentions sanitized.
Will match any *here* and/or *everyone* mentions.
Parameters
----------
to_filter : str
The string to filter.
Returns
-------
str
The sanitized string.
"""
return MASS_MENTION_RE.sub("@\u200b", to_filter)
def filter_various_mentions(to_filter: str) -> str:
"""
Get a string with role, user, and channel mentions sanitized.
This is mainly for use on user display names, not message content,
and should be applied sparingly.
Parameters
----------
to_filter : str
The string to filter.
Returns
-------
str
The sanitized string.
"""
return OTHER_MENTION_RE.sub(r"\1\\\2\3", to_filter)
def normalize_smartquotes(to_normalize: str) -> str:
"""
Get a string with smart quotes replaced with normal ones
Parameters
----------
to_normalize : str
The string to normalize.
Returns
-------
str
The normalized string.
"""
def replacement_for(obj):
return SMART_QUOTE_REPLACEMENT_DICT.get(obj.group(0), "")
return SMART_QUOTE_REPLACE_RE.sub(replacement_for, to_normalize)
def escape_spoilers(content: str) -> str:
"""
Get a string with spoiler syntax escaped.
Parameters
----------
content : str
The string to escape.
Returns
-------
str
The escaped string.
"""
return SPOILER_CONTENT_RE.sub(r"\\\g<OPEN>\g<SPOILERED>\\\g<CLOSE>", content)
def escape_spoilers_and_mass_mentions(content: str) -> str:
"""
Get a string with spoiler syntax and mass mentions escaped
Parameters
----------
content : str
The string to escape.
Returns
-------
str
The escaped string.
"""
return escape_spoilers(filter_mass_mentions(content)) | PypiClean |
/BobBuildTool-0.23.1.tar.gz/BobBuildTool-0.23.1/pym/bob/cmds/misc.py |
# Bob build tool
# Copyright (C) 2016 TechniSat Digital GmbH
#
# SPDX-License-Identifier: GPL-3.0-or-later
from ..input import RecipeSet
from ..errors import ParseError, BuildError
from ..utils import processDefines
import argparse
import codecs
import sys
import os, os.path
try:
# test if stdout can handle box drawing characters
codecs.encode("└├│─", sys.stdout.encoding)
LS_SEP_1 = u"└── "
LS_SEP_2 = u"├── "
LS_SEP_3 = u" "
LS_SEP_4 = u"│ "
except UnicodeEncodeError:
# fall back to ASCII
LS_SEP_1 = "\\-- "
LS_SEP_2 = "|-- "
LS_SEP_3 = " "
LS_SEP_4 = "| "
class PackagePrinter:
def __init__(self, showAll, showOrigin, recurse, unsorted):
self.showAll = showAll
self.showOrigin = showOrigin
self.recurse = recurse
if unsorted:
self.sort = lambda x: x
else:
self.sort = sorted
def __getChilds(self, package):
return [
(name, child.node, " ({})".format(child.origin) if (self.showOrigin and child.origin) else "")
for (name, child) in self.sort(package.items())
if (self.showAll or child.direct)
]
def showTree(self, package, prefix=""):
i = 0
packages = self.__getChilds(package)
for (n, p, o) in packages:
last = (i >= len(packages)-1)
print("{}{}{}{}".format(prefix, LS_SEP_1 if last else LS_SEP_2, n, o))
self.showTree(p, prefix + (LS_SEP_3 if last else LS_SEP_4))
i += 1
def showPrefixed(self, package, showAliases, stack=[], level=0):
for p in showAliases: print(p)
for (n, p, o) in self.__getChilds(package):
newStack = stack[:]
newStack.append(n)
print("{}{}".format("/".join(newStack), o))
if self.recurse:
self.showPrefixed(p, [], newStack, level+1)
def doLS(argv, bobRoot):
parser = argparse.ArgumentParser(prog="bob ls", description='List packages.')
parser.add_argument('package', type=str, nargs='?', default="",
help="Sub-package to start listing from")
parser.add_argument('-a', '--all', default=False, action='store_true',
help="Show indirect dependencies too")
parser.add_argument('-A', '--alternates', default=False, action='store_true',
help="Show all alternate paths to identical packages too")
parser.add_argument('-o', '--origin', default=False, action='store_true',
help="Show origin of indirect dependencies")
parser.add_argument('-r', '--recursive', default=False, action='store_true',
help="Recursively display dependencies")
parser.add_argument('-u', '--unsorted', default=False, action='store_true',
help="Show packages in recipe order (unsorted)")
group = parser.add_mutually_exclusive_group()
group.add_argument('-p', '--prefixed', default=False, action='store_true',
help="Prints the full path prefix for each package")
group.add_argument('-d', '--direct', default=False, action='store_true',
help="List packages themselves, not their contents")
parser.add_argument('-D', default=[], action='append', dest="defines",
help="Override default environment variable")
parser.add_argument('-c', dest="configFile", default=[], action='append',
help="Use config File")
group = parser.add_mutually_exclusive_group()
group.add_argument('--sandbox', action='store_true', default=False,
help="Enable sandboxing")
group.add_argument('--no-sandbox', action='store_false', dest='sandbox',
help="Disable sandboxing")
args = parser.parse_args(argv)
defines = processDefines(args.defines)
recipes = RecipeSet()
recipes.setConfigFiles(args.configFile)
recipes.parse(defines)
packages = recipes.generatePackages(lambda s,m: "unused", args.sandbox)
showAliases = packages.getAliases() if args.package == "" else []
printer = PackagePrinter(args.all, args.origin, args.recursive, args.unsorted)
showAlternates = args.alternates and (args.prefixed or args.direct)
for (stack, root) in packages.queryTreePath(args.package, showAlternates):
if args.prefixed:
printer.showPrefixed(root, showAliases, stack)
elif args.direct:
print("/".join(stack) if stack else "/")
elif args.recursive:
print("/".join(stack) if stack else "/")
printer.showTree(root)
else:
printer.showPrefixed(root, showAliases)
class Default(dict):
def __init__(self, default, *args, **kwargs):
self.__default = default
super().__init__(*args, **kwargs)
def __missing__(self, key):
return self.__default
def doQueryMeta(argv, bobRoot):
parser = argparse.ArgumentParser(prog="bob query-meta",
formatter_class=argparse.RawDescriptionHelpFormatter,
description="""Query meta information of packages.""")
parser.add_argument('packages', nargs='+', help="(Sub-)packages to query")
parser.add_argument('-D', default=[], action='append', dest="defines",
help="Override default environment variable")
parser.add_argument('-c', dest="configFile", default=[], action='append',
help="Use config File")
parser.add_argument('-r', '--recursive', default=False, action='store_true',
help="Recursively display dependencies")
group = parser.add_mutually_exclusive_group()
group.add_argument('--sandbox', action='store_true', default=False,
help="Enable sandboxing")
group.add_argument('--no-sandbox', action='store_false', dest='sandbox',
help="Disable sandboxing")
args = parser.parse_args(argv)
defines = processDefines(args.defines)
recipes = RecipeSet()
recipes.setConfigFiles(args.configFile)
recipes.parse(defines)
packages = recipes.generatePackages(lambda s,m: "unused", args.sandbox)
def showPackage(package, recurse, done):
# Show each package only once. Meta variables are fixed and not variant
# dependent.
key = package.getName()
if key not in done:
for (var, val) in package.getMetaEnv().items():
print(package.getName() + " " + var + "=" + val)
done.add(key)
# recurse package tree if requested
if recurse:
for ps in package.getDirectDepSteps():
showPackage(ps.getPackage(), recurse, done)
done = set()
for p in args.packages:
for package in packages.queryPackagePath(p):
showPackage(package, args.recursive, done)
def doQuerySCM(argv, bobRoot):
parser = argparse.ArgumentParser(prog="bob query-scm",
formatter_class=argparse.RawDescriptionHelpFormatter,
description="""Query SCM configuration of packages.
By default this command will print one line for each SCM in the given package.
The output format may be overridded by '-f'. By default the following formats
are used:
* git="git {package} {dir} {url} {branch}"
* svn="svn {package} {dir} {url} {revision}"
* cvs="cvs {package} {dir} {cvsroot} {module}"
* url="url {package} {dir}/{fileName} {url}"
""")
parser.add_argument('packages', nargs='+', help="(Sub-)packages to query")
parser.add_argument('-D', default=[], action='append', dest="defines",
help="Override default environment variable")
parser.add_argument('-c', dest="configFile", default=[], action='append',
help="Use config File")
parser.add_argument('-f', default=[], action='append', dest="formats",
help="Output format for scm (syntax: scm=format). Can be specified multiple times.")
parser.add_argument('--default', default="", help='Default for missing attributes (default: "")')
parser.add_argument('-r', '--recursive', default=False, action='store_true',
help="Recursively display dependencies")
group = parser.add_mutually_exclusive_group()
group.add_argument('--sandbox', action='store_true', default=False,
help="Enable sandboxing")
group.add_argument('--no-sandbox', action='store_false', dest='sandbox',
help="Disable sandboxing")
formats = {
'git' : "git {package} {dir} {url} {branch}",
'svn' : "svn {package} {dir} {url} {revision}",
'cvs' : "cvs {package} {dir} {cvsroot} {module}",
'url' : "url {package} {dir}/{fileName} {url}",
}
args = parser.parse_args(argv)
defines = processDefines(args.defines)
recipes = RecipeSet()
recipes.setConfigFiles(args.configFile)
recipes.parse(defines)
packages = recipes.generatePackages(lambda s,m: "unused", args.sandbox)
# update formats
for fmt in args.formats:
f = fmt.split("=")
if len(f) != 2: parser.error("Malformed format: "+fmt)
formats[f[0]] = f[1]
def showPackage(package, recurse, done, donePackages):
if package._getId() in donePackages:
return
donePackages.add(package._getId())
# show recipes only once for each checkout variant
key = (package.getRecipe().getName(), package.getCheckoutStep().getVariantId())
if key not in done:
for scm in package.getCheckoutStep().getScmList():
p = { k:v for (k,v) in scm.getProperties(False).items() if v is not None }
p['package'] = "/".join(package.getStack())
fmt = formats.get(p['scm'], "{scm} {dir}")
print(fmt.format_map(Default(args.default, p)))
done.add(key)
# recurse package tree if requested
if recurse:
for ps in package.getDirectDepSteps():
showPackage(ps.getPackage(), recurse, done, donePackages)
done = set()
donePackages = set()
for p in args.packages:
for package in packages.queryPackagePath(p):
showPackage(package, args.recursive, done, donePackages)
def doQueryRecipe(argv, bobRoot):
parser = argparse.ArgumentParser(prog="bob query-recipe",
description="Query recipe and class files of package.")
parser.add_argument('package', help="(Sub-)package to query")
parser.add_argument('-D', default=[], action='append', dest="defines",
help="Override default environment variable")
parser.add_argument('-c', dest="configFile", default=[], action='append',
help="Use config File")
group = parser.add_mutually_exclusive_group()
group.add_argument('--sandbox', action='store_true', default=False,
help="Enable sandboxing")
group.add_argument('--no-sandbox', action='store_false', dest='sandbox',
help="Disable sandboxing")
args = parser.parse_args(argv)
defines = processDefines(args.defines)
recipes = RecipeSet()
recipes.setConfigFiles(args.configFile)
recipes.parse(defines)
package = recipes.generatePackages(lambda s,m: "unused", args.sandbox).walkPackagePath(args.package)
for fn in package.getRecipe().getSources():
print(fn)
def doInit(argv, bobRoot):
parser = argparse.ArgumentParser(prog="bob init",
formatter_class=argparse.RawDescriptionHelpFormatter,
description="""Initialize out-of-source build tree.
Create a Bob build tree in the current directory or at the given BUILD
directory. The recipes, classes, plugins and all other files are taken from the
project root directory at PROJECT.
""")
parser.add_argument('project', metavar="PROJECT",
help="Project root directory")
parser.add_argument('build', nargs='?', metavar="BUILD", default=".",
help="Build directory (default: .)")
args = parser.parse_args(argv)
recipesDir = os.path.join(args.project, "recipes")
if not os.path.isdir(recipesDir):
raise ParseError("No recipes directory found in " + recipesDir)
try:
os.makedirs(args.build, exist_ok=True)
if os.path.samefile(args.project, args.build):
print("The project directory does not need to be initialized.",
file=sys.stderr)
return
except OSError as e:
raise ParseError("Error creating build directory: " + str(e))
projectLink = os.path.join(args.build, ".bob-project")
if os.path.exists(projectLink):
raise ParseError("Build tree already initialized!")
try:
with open(projectLink, "w") as f:
f.write(os.path.abspath(args.project))
except OSError as e:
raise ParseError("Cannot create project link: " + str(e)) | PypiClean |
/ContactMechanics-1.1.1.tar.gz/ContactMechanics-1.1.1/LICENSE.md | ### MIT license
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
| PypiClean |
/DecisionTree-3.4.3.tar.gz/DecisionTree-3.4.3/Examples/construct_dt_and_classify_one_sample_case3.py |
## construct_dt_and_classify_one_sample_case3.py
## This script does the same thing as the script
##
## construct_dt_and_classify_one_sample_case2.py
##
## except that it uses just two of the columns of the csv file for DT construction
## and classification. The two features used are in columns indexed 3 and 5 of the
## csv file.
## Remember that column indexing is zero-based in the csv file.
## The training file `stage3cancer.csv' was taken from the RPART module by Terry
## Therneau and Elizabeth Atkinson. This module is a part of the R based
## statistical package for classification and regression by recursive partitioning
## of data.
import DecisionTree
import sys
training_datafile = "stage3cancer.csv"
dt = DecisionTree.DecisionTree( training_datafile = training_datafile,
csv_class_column_index = 2,
csv_columns_for_features = [3,5],
entropy_threshold = 0.01,
max_depth_desired = 4,
symbolic_to_numeric_cardinality_threshold = 10,
csv_cleanup_needed = 1,
)
dt.get_training_data()
dt.calculate_first_order_probabilities()
dt.calculate_class_priors()
# UNCOMMENT THE FOLLOWING LINE if you would like to see the training
# data that was read from the disk file:
#dt.show_training_data()
root_node = dt.construct_decision_tree_classifier()
# UNCOMMENT THE FOLLOWING LINE if you would like to see the decision
# tree displayed in your terminal window:
print("\n\nThe Decision Tree:\n")
root_node.display_decision_tree(" ")
test_sample = ['g2 = 20',
'age = 80.0']
# The rest of the script is for displaying the classification results:
classification = dt.classify(root_node, test_sample)
solution_path = classification['solution_path']
del classification['solution_path']
which_classes = list( classification.keys() )
which_classes = sorted(which_classes, key=lambda x: classification[x], reverse=True)
print("\nClassification:\n")
print(" " + str.ljust("class name", 30) + "probability")
print(" ---------- -----------")
for which_class in which_classes:
if which_class is not 'solution_path':
print(" " + str.ljust(which_class, 30) + str(classification[which_class]))
print("\nSolution path in the decision tree: " + str(solution_path))
print("\nNumber of nodes created: " + str(root_node.how_many_nodes())) | PypiClean |
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/AyiinXd-0.0.8-cp311-cp311-macosx_10_9_universal2.whl/fipper/node_modules/semver/ranges/subset.js | const Range = require('../classes/range.js')
const Comparator = require('../classes/comparator.js')
const { ANY } = Comparator
const satisfies = require('../functions/satisfies.js')
const compare = require('../functions/compare.js')
// Complex range `r1 || r2 || ...` is a subset of `R1 || R2 || ...` iff:
// - Every simple range `r1, r2, ...` is a null set, OR
// - Every simple range `r1, r2, ...` which is not a null set is a subset of
// some `R1, R2, ...`
//
// Simple range `c1 c2 ...` is a subset of simple range `C1 C2 ...` iff:
// - If c is only the ANY comparator
// - If C is only the ANY comparator, return true
// - Else if in prerelease mode, return false
// - else replace c with `[>=0.0.0]`
// - If C is only the ANY comparator
// - if in prerelease mode, return true
// - else replace C with `[>=0.0.0]`
// - Let EQ be the set of = comparators in c
// - If EQ is more than one, return true (null set)
// - Let GT be the highest > or >= comparator in c
// - Let LT be the lowest < or <= comparator in c
// - If GT and LT, and GT.semver > LT.semver, return true (null set)
// - If any C is a = range, and GT or LT are set, return false
// - If EQ
// - If GT, and EQ does not satisfy GT, return true (null set)
// - If LT, and EQ does not satisfy LT, return true (null set)
// - If EQ satisfies every C, return true
// - Else return false
// - If GT
// - If GT.semver is lower than any > or >= comp in C, return false
// - If GT is >=, and GT.semver does not satisfy every C, return false
// - If GT.semver has a prerelease, and not in prerelease mode
// - If no C has a prerelease and the GT.semver tuple, return false
// - If LT
// - If LT.semver is greater than any < or <= comp in C, return false
// - If LT is <=, and LT.semver does not satisfy every C, return false
// - If GT.semver has a prerelease, and not in prerelease mode
// - If no C has a prerelease and the LT.semver tuple, return false
// - Else return true
const subset = (sub, dom, options = {}) => {
if (sub === dom) {
return true
}
sub = new Range(sub, options)
dom = new Range(dom, options)
let sawNonNull = false
OUTER: for (const simpleSub of sub.set) {
for (const simpleDom of dom.set) {
const isSub = simpleSubset(simpleSub, simpleDom, options)
sawNonNull = sawNonNull || isSub !== null
if (isSub) {
continue OUTER
}
}
// the null set is a subset of everything, but null simple ranges in
// a complex range should be ignored. so if we saw a non-null range,
// then we know this isn't a subset, but if EVERY simple range was null,
// then it is a subset.
if (sawNonNull) {
return false
}
}
return true
}
const minimumVersionWithPreRelease = [new Comparator('>=0.0.0-0')]
const minimumVersion = [new Comparator('>=0.0.0')]
const simpleSubset = (sub, dom, options) => {
if (sub === dom) {
return true
}
if (sub.length === 1 && sub[0].semver === ANY) {
if (dom.length === 1 && dom[0].semver === ANY) {
return true
} else if (options.includePrerelease) {
sub = minimumVersionWithPreRelease
} else {
sub = minimumVersion
}
}
if (dom.length === 1 && dom[0].semver === ANY) {
if (options.includePrerelease) {
return true
} else {
dom = minimumVersion
}
}
const eqSet = new Set()
let gt, lt
for (const c of sub) {
if (c.operator === '>' || c.operator === '>=') {
gt = higherGT(gt, c, options)
} else if (c.operator === '<' || c.operator === '<=') {
lt = lowerLT(lt, c, options)
} else {
eqSet.add(c.semver)
}
}
if (eqSet.size > 1) {
return null
}
let gtltComp
if (gt && lt) {
gtltComp = compare(gt.semver, lt.semver, options)
if (gtltComp > 0) {
return null
} else if (gtltComp === 0 && (gt.operator !== '>=' || lt.operator !== '<=')) {
return null
}
}
// will iterate one or zero times
for (const eq of eqSet) {
if (gt && !satisfies(eq, String(gt), options)) {
return null
}
if (lt && !satisfies(eq, String(lt), options)) {
return null
}
for (const c of dom) {
if (!satisfies(eq, String(c), options)) {
return false
}
}
return true
}
let higher, lower
let hasDomLT, hasDomGT
// if the subset has a prerelease, we need a comparator in the superset
// with the same tuple and a prerelease, or it's not a subset
let needDomLTPre = lt &&
!options.includePrerelease &&
lt.semver.prerelease.length ? lt.semver : false
let needDomGTPre = gt &&
!options.includePrerelease &&
gt.semver.prerelease.length ? gt.semver : false
// exception: <1.2.3-0 is the same as <1.2.3
if (needDomLTPre && needDomLTPre.prerelease.length === 1 &&
lt.operator === '<' && needDomLTPre.prerelease[0] === 0) {
needDomLTPre = false
}
for (const c of dom) {
hasDomGT = hasDomGT || c.operator === '>' || c.operator === '>='
hasDomLT = hasDomLT || c.operator === '<' || c.operator === '<='
if (gt) {
if (needDomGTPre) {
if (c.semver.prerelease && c.semver.prerelease.length &&
c.semver.major === needDomGTPre.major &&
c.semver.minor === needDomGTPre.minor &&
c.semver.patch === needDomGTPre.patch) {
needDomGTPre = false
}
}
if (c.operator === '>' || c.operator === '>=') {
higher = higherGT(gt, c, options)
if (higher === c && higher !== gt) {
return false
}
} else if (gt.operator === '>=' && !satisfies(gt.semver, String(c), options)) {
return false
}
}
if (lt) {
if (needDomLTPre) {
if (c.semver.prerelease && c.semver.prerelease.length &&
c.semver.major === needDomLTPre.major &&
c.semver.minor === needDomLTPre.minor &&
c.semver.patch === needDomLTPre.patch) {
needDomLTPre = false
}
}
if (c.operator === '<' || c.operator === '<=') {
lower = lowerLT(lt, c, options)
if (lower === c && lower !== lt) {
return false
}
} else if (lt.operator === '<=' && !satisfies(lt.semver, String(c), options)) {
return false
}
}
if (!c.operator && (lt || gt) && gtltComp !== 0) {
return false
}
}
// if there was a < or >, and nothing in the dom, then must be false
// UNLESS it was limited by another range in the other direction.
// Eg, >1.0.0 <1.0.1 is still a subset of <2.0.0
if (gt && hasDomLT && !lt && gtltComp !== 0) {
return false
}
if (lt && hasDomGT && !gt && gtltComp !== 0) {
return false
}
// we needed a prerelease range in a specific tuple, but didn't get one
// then this isn't a subset. eg >=1.2.3-pre is not a subset of >=1.0.0,
// because it includes prereleases in the 1.2.3 tuple
if (needDomGTPre || needDomLTPre) {
return false
}
return true
}
// >=1.2.3 is lower than >1.2.3
const higherGT = (a, b, options) => {
if (!a) {
return b
}
const comp = compare(a.semver, b.semver, options)
return comp > 0 ? a
: comp < 0 ? b
: b.operator === '>' && a.operator === '>=' ? b
: a
}
// <=1.2.3 is higher than <1.2.3
const lowerLT = (a, b, options) => {
if (!a) {
return b
}
const comp = compare(a.semver, b.semver, options)
return comp < 0 ? a
: comp > 0 ? b
: b.operator === '<' && a.operator === '<=' ? b
: a
}
module.exports = subset | PypiClean |
/MetaCSV-0.1.1.tar.gz/MetaCSV-0.1.1/metacsv/io/to_xarray.py | import pandas as pd
import numpy as np
from collections import OrderedDict
from .._compat import string_types
from .yaml_tools import ordered_dump
xr = None
def _import_xarray():
global xr
if xr is None:
import xarray as xr
def _check_series_unique(series):
def check_unique(group):
try:
name = group.name if isinstance(group.name, string_types) else ','.join(group.name)
except TypeError:
name = group.name
msg = "Data not uniquely indexed for base coords: ({})".format(name)
if len(group.drop_duplicates()) != 1:
raise ValueError(msg)
if len(series.index.names) > 1:
series.groupby(level=series.index.names).apply(check_unique)
else:
series.groupby(by=series.index).apply(check_unique)
def _append_coords_to_dataset(ds, container, base_only, attrs=None):
global xr
if xr is None:
_import_xarray()
if container.coords == None:
container.add_coords()
for coord in container.base_coords:
ds.coords[str(coord)] = container.index.get_level_values(
coord).unique()
ds.coords[str(coord)].attrs = container.variables.get(coord, {})
for coord in container.coords:
if coord in container.base_coords:
continue
data = base_only[coord]
if len(data.index.names) > len(container.coords._base_dependencies[coord]):
data.reset_index([c for c in data.index.names if c not in container.coords._base_dependencies[
coord]], inplace=True, drop=True)
ds.coords[str(coord)] = metacsv_series_to_dataarray(
data, attrs=container.variables.get(coord, {}))
def metacsv_series_to_dataarray(series, attrs=None):
global xr
if xr is None:
_import_xarray()
if attrs is None:
attrs = series.attrs
if series.base_coords != None:
reset = [c for c in series.index.names if c not in series.base_coords]
if len(reset) > 0:
series = series.reset_index(reset, drop=True)
_check_series_unique(series)
series = series.iloc[np.unique(series.index.values, return_index=True)[1]]
series.index.names = list(map(str, series.index.names))
da = xr.DataArray.from_series(series)
da.attrs = attrs
return da
def metacsv_series_to_dataset(series, name='data', attrs=None):
global xr
if xr is None:
_import_xarray()
ds = xr.Dataset()
if attrs is None:
attrs = series.attrs
reset = [c for c in series.coords if c not in series.base_coords]
if len(reset) > 0:
base_only = series.reset_index(reset, drop=False)
else:
base_only = series
_check_series_unique(base_only)
_append_coords_to_dataset(ds, series, base_only, attrs)
if len(reset) > 0:
data = series.reset_index(reset, drop=True)
else:
data = series
ds[name] = xr.DataArray.from_series(data)
ds[name].attrs = series.variables.get(name, {})
ds.attrs = series.attrs
return ds
def metacsv_dataframe_to_dataset(dataframe, name='data', attrs=None):
global xr
if xr is None:
_import_xarray()
ds = xr.Dataset()
if attrs is None:
attrs = dataframe.attrs
reset = [c for c in dataframe.coords if c not in dataframe.base_coords]
if len(reset) > 0:
base_only = dataframe.reset_index(reset, drop=False, inplace=False)
else:
base_only = dataframe
_check_series_unique(base_only)
_append_coords_to_dataset(ds, dataframe, base_only, attrs)
if len(reset) > 0:
data = dataframe.reset_index(reset, drop=True)
else:
data = dataframe
for col in dataframe.columns:
ds[col] = xr.DataArray.from_series(data[col])
ds[col].attrs = dataframe.variables.get(col, {})
ds.attrs = dataframe.attrs
return ds
def metacsv_dataframe_to_dataarray(dataframe, names=None, attrs=None):
global xr
if xr is None:
_import_xarray()
dataframe = dataframe.copy()
if attrs is None:
attrs = dataframe.attrs
coords = dataframe.coords.copy()
dataframe.index.names = [
str(ind) if not pd.isnull(ind) else 'ind_{}'.format(i)
for i, ind in enumerate(dataframe.index.names)]
if dataframe.coords == None:
coords.update({c: None for c in dataframe.index.names})
dataframe.columns.names = [
str(c) if not pd.isnull(c) else 'coldim_{}'.format(i)
for i, c in enumerate(dataframe.columns.names)]
colnames = dataframe.columns.names
series = dataframe._constructor_sliced(dataframe.stack(colnames))
coords.update({c: None for c in colnames})
series.coords.update(coords)
return metacsv_series_to_dataarray(series, attrs=attrs) | PypiClean |
/Netfoll_TL-2.0.1-py3-none-any.whl/netfoll_tl/tl/functions/upload.py | from ...tl.tlobject import TLObject
from ...tl.tlobject import TLRequest
from typing import Optional, List, Union, TYPE_CHECKING
import os
import struct
from datetime import datetime
if TYPE_CHECKING:
from ...tl.types import TypeInputFileLocation, TypeInputWebFileLocation
class GetCdnFileRequest(TLRequest):
CONSTRUCTOR_ID = 0x395f69da
SUBCLASS_OF_ID = 0xf5ccf928
def __init__(self, file_token: bytes, offset: int, limit: int):
"""
:returns upload.CdnFile: Instance of either CdnFileReuploadNeeded, CdnFile.
"""
self.file_token = file_token
self.offset = offset
self.limit = limit
def to_dict(self):
return {
'_': 'GetCdnFileRequest',
'file_token': self.file_token,
'offset': self.offset,
'limit': self.limit
}
def _bytes(self):
return b''.join((
b'\xdai_9',
self.serialize_bytes(self.file_token),
struct.pack('<q', self.offset),
struct.pack('<i', self.limit),
))
@classmethod
def from_reader(cls, reader):
_file_token = reader.tgread_bytes()
_offset = reader.read_long()
_limit = reader.read_int()
return cls(file_token=_file_token, offset=_offset, limit=_limit)
class GetCdnFileHashesRequest(TLRequest):
CONSTRUCTOR_ID = 0x91dc3f31
SUBCLASS_OF_ID = 0xa5940726
def __init__(self, file_token: bytes, offset: int):
"""
:returns Vector<FileHash>: This type has no constructors.
"""
self.file_token = file_token
self.offset = offset
def to_dict(self):
return {
'_': 'GetCdnFileHashesRequest',
'file_token': self.file_token,
'offset': self.offset
}
def _bytes(self):
return b''.join((
b'1?\xdc\x91',
self.serialize_bytes(self.file_token),
struct.pack('<q', self.offset),
))
@classmethod
def from_reader(cls, reader):
_file_token = reader.tgread_bytes()
_offset = reader.read_long()
return cls(file_token=_file_token, offset=_offset)
class GetFileRequest(TLRequest):
CONSTRUCTOR_ID = 0xbe5335be
SUBCLASS_OF_ID = 0x6c9bd728
def __init__(self, location: 'TypeInputFileLocation', offset: int, limit: int, precise: Optional[bool]=None, cdn_supported: Optional[bool]=None):
"""
:returns upload.File: Instance of either File, FileCdnRedirect.
"""
self.location = location
self.offset = offset
self.limit = limit
self.precise = precise
self.cdn_supported = cdn_supported
def to_dict(self):
return {
'_': 'GetFileRequest',
'location': self.location.to_dict() if isinstance(self.location, TLObject) else self.location,
'offset': self.offset,
'limit': self.limit,
'precise': self.precise,
'cdn_supported': self.cdn_supported
}
def _bytes(self):
return b''.join((
b'\xbe5S\xbe',
struct.pack('<I', (0 if self.precise is None or self.precise is False else 1) | (0 if self.cdn_supported is None or self.cdn_supported is False else 2)),
self.location._bytes(),
struct.pack('<q', self.offset),
struct.pack('<i', self.limit),
))
@classmethod
def from_reader(cls, reader):
flags = reader.read_int()
_precise = bool(flags & 1)
_cdn_supported = bool(flags & 2)
_location = reader.tgread_object()
_offset = reader.read_long()
_limit = reader.read_int()
return cls(location=_location, offset=_offset, limit=_limit, precise=_precise, cdn_supported=_cdn_supported)
class GetFileHashesRequest(TLRequest):
CONSTRUCTOR_ID = 0x9156982a
SUBCLASS_OF_ID = 0xa5940726
def __init__(self, location: 'TypeInputFileLocation', offset: int):
"""
:returns Vector<FileHash>: This type has no constructors.
"""
self.location = location
self.offset = offset
def to_dict(self):
return {
'_': 'GetFileHashesRequest',
'location': self.location.to_dict() if isinstance(self.location, TLObject) else self.location,
'offset': self.offset
}
def _bytes(self):
return b''.join((
b'*\x98V\x91',
self.location._bytes(),
struct.pack('<q', self.offset),
))
@classmethod
def from_reader(cls, reader):
_location = reader.tgread_object()
_offset = reader.read_long()
return cls(location=_location, offset=_offset)
class GetWebFileRequest(TLRequest):
CONSTRUCTOR_ID = 0x24e6818d
SUBCLASS_OF_ID = 0x68f17f51
def __init__(self, location: 'TypeInputWebFileLocation', offset: int, limit: int):
"""
:returns upload.WebFile: Instance of WebFile.
"""
self.location = location
self.offset = offset
self.limit = limit
def to_dict(self):
return {
'_': 'GetWebFileRequest',
'location': self.location.to_dict() if isinstance(self.location, TLObject) else self.location,
'offset': self.offset,
'limit': self.limit
}
def _bytes(self):
return b''.join((
b'\x8d\x81\xe6$',
self.location._bytes(),
struct.pack('<i', self.offset),
struct.pack('<i', self.limit),
))
@classmethod
def from_reader(cls, reader):
_location = reader.tgread_object()
_offset = reader.read_int()
_limit = reader.read_int()
return cls(location=_location, offset=_offset, limit=_limit)
class ReuploadCdnFileRequest(TLRequest):
CONSTRUCTOR_ID = 0x9b2754a8
SUBCLASS_OF_ID = 0xa5940726
def __init__(self, file_token: bytes, request_token: bytes):
"""
:returns Vector<FileHash>: This type has no constructors.
"""
self.file_token = file_token
self.request_token = request_token
def to_dict(self):
return {
'_': 'ReuploadCdnFileRequest',
'file_token': self.file_token,
'request_token': self.request_token
}
def _bytes(self):
return b''.join((
b"\xa8T'\x9b",
self.serialize_bytes(self.file_token),
self.serialize_bytes(self.request_token),
))
@classmethod
def from_reader(cls, reader):
_file_token = reader.tgread_bytes()
_request_token = reader.tgread_bytes()
return cls(file_token=_file_token, request_token=_request_token)
class SaveBigFilePartRequest(TLRequest):
CONSTRUCTOR_ID = 0xde7b673d
SUBCLASS_OF_ID = 0xf5b399ac
# noinspection PyShadowingBuiltins
def __init__(self, file_id: int, file_part: int, file_total_parts: int, bytes: bytes):
"""
:returns Bool: This type has no constructors.
"""
self.file_id = file_id
self.file_part = file_part
self.file_total_parts = file_total_parts
self.bytes = bytes
def to_dict(self):
return {
'_': 'SaveBigFilePartRequest',
'file_id': self.file_id,
'file_part': self.file_part,
'file_total_parts': self.file_total_parts,
'bytes': self.bytes
}
def _bytes(self):
return b''.join((
b'=g{\xde',
struct.pack('<q', self.file_id),
struct.pack('<i', self.file_part),
struct.pack('<i', self.file_total_parts),
self.serialize_bytes(self.bytes),
))
@classmethod
def from_reader(cls, reader):
_file_id = reader.read_long()
_file_part = reader.read_int()
_file_total_parts = reader.read_int()
_bytes = reader.tgread_bytes()
return cls(file_id=_file_id, file_part=_file_part, file_total_parts=_file_total_parts, bytes=_bytes)
class SaveFilePartRequest(TLRequest):
CONSTRUCTOR_ID = 0xb304a621
SUBCLASS_OF_ID = 0xf5b399ac
# noinspection PyShadowingBuiltins
def __init__(self, file_id: int, file_part: int, bytes: bytes):
"""
:returns Bool: This type has no constructors.
"""
self.file_id = file_id
self.file_part = file_part
self.bytes = bytes
def to_dict(self):
return {
'_': 'SaveFilePartRequest',
'file_id': self.file_id,
'file_part': self.file_part,
'bytes': self.bytes
}
def _bytes(self):
return b''.join((
b'!\xa6\x04\xb3',
struct.pack('<q', self.file_id),
struct.pack('<i', self.file_part),
self.serialize_bytes(self.bytes),
))
@classmethod
def from_reader(cls, reader):
_file_id = reader.read_long()
_file_part = reader.read_int()
_bytes = reader.tgread_bytes()
return cls(file_id=_file_id, file_part=_file_part, bytes=_bytes) | PypiClean |
/FFGo-1.12.7-py3-none-any.whl/ffgo/gui/gps_tool.py |
import locale
import tkinter as tk
from tkinter import ttk
from tkinter.messagebox import showwarning
from ..constants import PROGNAME
from .. import common_transl
from . import widgets
from ..geo import geodesy
from ..misc import normalizeHeading
from .tooltip import ToolTip, TreeviewToolTip
def setupTranslationHelper(config):
global pgettext, ngettext, npgettext
from .. import misc
translationHelper = misc.TranslationHelper(config)
pgettext = translationHelper.pgettext
ngettext = translationHelper.ngettext
npgettext = translationHelper.npgettext
def setupEarthMagneticFieldProvider(provider):
global magField
magField = provider
class GPSTool:
"""GPS Tool dialog."""
geodCalc = geodesy.GeodCalc()
def __init__(self, master, config, app):
for attr in ("master", "config", "app"):
setattr(self, attr, locals()[attr])
setupTranslationHelper(config)
# These are used to break observer loops with widget A being modified,
# causing an update of widget B, itself causing an update of widget
# A...
self.dontUpdateFlightDuration = self.dontUpdateGroundSpeed = False
self.top = tk.Toplevel(self.master)
self.top.transient(self.master)
# Uncomment this to disallow interacting with other windows
# self.top.grab_set()
self.top.title(_('GPS Tool'))
# Currently, hiding is a better choice than destroying, because memory
# occupation doesn't increase when the dialog is shown again after
# being hidden.
self.top.protocol("WM_DELETE_WINDOW", self.hide)
self.top.bind('<Escape>', self.hide)
panedWindow = ttk.PanedWindow(self.top, orient="vertical")
panedWindow.grid(row=0, column=0, sticky="nsew")
self.top.grid_rowconfigure(0, weight=100)
self.top.grid_columnconfigure(0, weight=100)
# Padding: all or (left, top, right, bottom)
#
# Padding outside the LabelFrame widgets
outerFramesPadding = "12p"
# Half of the vertical separation between two “adjacent” LabelFrame
# widgets
outerFramesHalfSep = "0p"
# Padding inside the LabelFrame widgets
labelFramesPadding = "15p"
# *********************************************************************
# * The airports selection frame *
# *********************************************************************
# Frame providing padding around the “Airport A” and “Airport B”
# LabelFrame widgets
airportsOuterFrame = ttk.Frame(
panedWindow,
padding=(outerFramesPadding, outerFramesPadding,
outerFramesPadding, outerFramesHalfSep))
panedWindow.add(airportsOuterFrame, weight=100)
# Airport A
self.icaoVarA = tk.StringVar()
airportChooserA, searchEntryA, searchClearButtonA, airportSearchTreeA \
= self.airportChooserLabelFrame(
container=airportsOuterFrame, row=0, column=0,
columnWeight=100, labelFramesPadding=labelFramesPadding,
frameTitle=_("Airport A"), icaoVar=self.icaoVarA)
spacer = ttk.Frame(airportsOuterFrame)
spacer.grid(row=0, column=1, sticky="nsew")
airportsOuterFrame.grid_columnconfigure(1, minsize="12p", weight=10)
# Airport B
self.icaoVarB = tk.StringVar()
airportChooserB, searchEntryB, searchClearButtonB, airportSearchTreeB \
= self.airportChooserLabelFrame(
container=airportsOuterFrame, row=0, column=2,
columnWeight=100, labelFramesPadding=labelFramesPadding,
frameTitle=_("Airport B"), icaoVar=self.icaoVarB)
# Frame providing padding around the “Calculations” LabelFrame
calcOuterFrame = ttk.Frame(
panedWindow, padding=(outerFramesPadding, outerFramesHalfSep,
outerFramesPadding, outerFramesPadding))
panedWindow.add(calcOuterFrame, weight=100)
calcFrame = ttk.LabelFrame(calcOuterFrame,
text=_("Calculations"),
padding=labelFramesPadding)
calcFrame.grid(row=0, column=0, sticky="nsew")
calcOuterFrame.grid_rowconfigure(0, weight=100)
calcOuterFrame.grid_columnconfigure(0, weight=100)
# *********************************************************************
# * Left frame of Calculations, containing parameters (units...) *
# *********************************************************************
calcLeftFrame = ttk.Frame(calcFrame)
calcLeftFrame.grid(row=0, column=0, sticky="nsw")
calcFrame.grid_rowconfigure(0, weight=100)
calcFrame.grid_columnconfigure(0, weight=100, pad="30p")
# Length unit (nautical miles or kilometers)
leftSubframe1 = ttk.Frame(calcLeftFrame)
leftSubframe1.grid(row=0, column=0, sticky="nsw")
lengthUnitLabel = ttk.Label(leftSubframe1, text=_("Distance in"))
lengthUnitLabel.grid(row=0, column=0, sticky="w")
leftSubframe1.grid_columnconfigure(0, weight=100)
self.lengthUnit = tk.StringVar()
self.lengthUnit.set("nautical mile")
nautMilesButton = ttk.Radiobutton(
leftSubframe1, variable=self.lengthUnit,
text=_("nautical miles"), value="nautical mile",
padding=("10p", 0, "10p", 0))
nautMilesButton.grid(row=0, column=1, sticky="w")
leftSubframe1.grid_rowconfigure(0, pad="5p")
kilometersButton = ttk.Radiobutton(
leftSubframe1, variable=self.lengthUnit,
text=_("kilometers"), value="kilometer",
padding=("10p", 0, "10p", 0))
kilometersButton.grid(row=1, column=1, sticky="w")
leftSpacerHeight = "20p"
leftSpacer = ttk.Frame(calcLeftFrame)
leftSpacer.grid(row=1, column=0, sticky="nsew")
calcLeftFrame.grid_rowconfigure(
1, minsize=leftSpacerHeight, weight=100)
# Magnetic or true bearings
leftSubframe2 = ttk.Frame(calcLeftFrame)
leftSubframe2.grid(row=2, column=0, sticky="nsw")
bearingsTypeLabel = ttk.Label(leftSubframe2, text=_("Bearings"))
bearingsTypeLabel.grid(row=0, column=0, sticky="w")
leftSubframe2.grid_columnconfigure(0, weight=100)
self.bearingsType = tk.StringVar()
magBearingsButton = ttk.Radiobutton(
leftSubframe2, variable=self.bearingsType,
text=pgettext("Bearings", "magnetic"), value="magnetic",
padding=("10p", 0, "10p", 0))
magBearingsButton.grid(row=0, column=1, sticky="w")
leftSubframe2.grid_rowconfigure(0, pad="5p")
trueBearingsButton = ttk.Radiobutton(
leftSubframe2, variable=self.bearingsType,
text=pgettext("Bearings", "true"), value="true",
padding=("10p", 0, "10p", 0))
trueBearingsButton.grid(row=1, column=1, sticky="w")
if magField is not None:
self.bearingsType.set("magnetic")
else:
self.bearingsType.set("true")
magBearingsButton.state(["disabled"])
ToolTip(bearingsTypeLabel, common_transl.magneticFieldTooltipText,
autowrap=True)
leftSpacer = ttk.Frame(calcLeftFrame)
leftSpacer.grid(row=3, column=0, sticky="nsew")
calcLeftFrame.grid_rowconfigure(
3, minsize=leftSpacerHeight, weight=100)
# Speed unit (knots or kilometers per hour)
leftSubframe3 = ttk.Frame(calcLeftFrame)
leftSubframe3.grid(row=4, column=0, sticky="nsw")
speedUnitLabel = ttk.Label(leftSubframe3, text=_("Speed in"))
speedUnitLabel.grid(row=0, column=0, sticky="w")
leftSubframe3.grid_columnconfigure(0, weight=100)
self.speedUnit = tk.StringVar()
self.speedUnit.set("knot")
knotsButton = ttk.Radiobutton(
leftSubframe3, variable=self.speedUnit,
text=_("knots"), value="knot",
padding=("10p", 0, "10p", 0))
knotsButton.grid(row=0, column=1, sticky="w")
leftSubframe3.grid_rowconfigure(0, pad="5p")
kmhButton = ttk.Radiobutton(
leftSubframe3, variable=self.speedUnit,
text=_("km/h"), value="km/h",
padding=("10p", 0, "10p", 0))
kmhButton.grid(row=1, column=1, sticky="w")
spacer = ttk.Frame(calcLeftFrame)
spacer.grid(row=5, column=0, sticky="nsew")
calcLeftFrame.grid_rowconfigure(
5, minsize=leftSpacerHeight, weight=100)
# Calculation method (Vincenty or Karney)
leftSubframe4 = ttk.Frame(calcLeftFrame)
leftSubframe4.grid(row=6, column=0, sticky="nsw")
calcMethodLabel = ttk.Label(leftSubframe4,
text=_("Calculation method"))
calcMethodLabel.grid(row=0, column=0, sticky="w")
self.calcMethodVar = tk.StringVar()
karneyMethodRadioButton = ttk.Radiobutton(
leftSubframe4, variable=self.calcMethodVar,
text=_("Karney"), value="karneyInverse",
padding=("10p", 0, "10p", 0))
karneyMethodRadioButton.grid(row=0, column=1, sticky="w")
vincentyMethodRadioButton = ttk.Radiobutton(
leftSubframe4, variable=self.calcMethodVar,
text=_("Vincenty et al."), value="vincentyInverseWithFallback",
padding=("10p", 0, "10p", 0))
vincentyMethodRadioButton.grid(row=1, column=1, sticky="w")
if self.geodCalc.karneyMethodAvailable():
self.calcMethodVar.set("karneyInverse")
else:
self.calcMethodVar.set("vincentyInverseWithFallback")
karneyMethodRadioButton.state(["disabled"])
# Tooltip for the calculation method
ToolTip(calcMethodLabel,
common_transl.geodCalcMethodTooltipText(self.geodCalc),
autowrap=True)
# *********************************************************************
# * Right frame of Calculations, containing the results *
# *********************************************************************
calcRightFrame = ttk.Frame(calcFrame)
calcRightFrame.grid(row=0, column=1, sticky="nw")
calcFrame.grid_rowconfigure(0, weight=100)
calcFrame.grid_columnconfigure(1, weight=200)
# Distance between the two airports
distanceFrame = ttk.Frame(calcRightFrame)
distanceFrame.grid(row=0, column=0, sticky="new")
calcRightFrame.grid_rowconfigure(0, weight=0)
calcRightFrame.grid_columnconfigure(0, weight=100)
distanceLabel = ttk.Label(distanceFrame,
text=_("Distance between A and B: "))
distanceLabel.grid(row=0, column=0, sticky="w")
distanceFrame.grid_rowconfigure(0, weight=100)
self.distanceVar = tk.StringVar()
distanceValueLabel = ttk.Label(distanceFrame,
textvariable=self.distanceVar)
distanceValueLabel.grid(row=0, column=1, sticky="w")
self.distanceUnitLabelVar = tk.StringVar()
distanceUnitLabel = ttk.Label(distanceFrame,
textvariable=self.distanceUnitLabelVar)
distanceUnitLabel.grid(row=0, column=2, sticky="w")
rightSpacerHeight = "20p"
spacer = ttk.Frame(calcRightFrame)
spacer.grid(row=1, column=0, sticky="nsew")
calcRightFrame.grid_rowconfigure(
1, minsize=rightSpacerHeight, weight=100)
# Bearings
bearingsFrame = ttk.Frame(calcRightFrame)
bearingsFrame.grid(row=2, column=0, sticky="ew")
calcRightFrame.grid_rowconfigure(2, weight=0)
bearingsABLabel = ttk.Label(bearingsFrame,
text=_("Bearings from A to B:"))
bearingsABLabel.grid(row=0, column=0, sticky="w")
bearingsFrame.grid_rowconfigure(0, weight=100)
bearingsFrame.grid_columnconfigure(0, pad="8p")
bearingsABinitLabel = ttk.Label(
bearingsFrame, text=pgettext(
"bearings for a path between two points", "init: "))
bearingsABinitLabel.grid(row=0, column=1, sticky="w")
self.bearingABinitVar = tk.StringVar()
bearingsABinitValueLabel = ttk.Label(
bearingsFrame, textvariable=self.bearingABinitVar)
bearingsABinitValueLabel.grid(row=0, column=2, sticky="w")
bearingsFrame.grid_columnconfigure(2, pad="10p")
spacer = ttk.Frame(bearingsFrame)
spacer.grid(row=0, column=3, sticky="nsew")
calcRightFrame.grid_columnconfigure(3, minsize="10p", weight=100)
bearingsABfinalLabel = ttk.Label(
bearingsFrame, text=pgettext(
"bearings for a path between two points", "final: "))
bearingsABfinalLabel.grid(row=0, column=4, sticky="w")
self.bearingABfinalVar = tk.StringVar()
bearingsABfinalValueLabel = ttk.Label(
bearingsFrame, textvariable=self.bearingABfinalVar)
bearingsABfinalValueLabel.grid(row=0, column=5, sticky="w")
bearingsBALabel = ttk.Label(bearingsFrame,
text=_("Bearings from B to A: "))
bearingsBALabel.grid(row=1, column=0, sticky="w")
bearingsFrame.grid_rowconfigure(1, weight=100)
bearingsBAinitLabel = ttk.Label(
bearingsFrame, text=pgettext(
"bearings for a path between two points", "init: "))
bearingsBAinitLabel.grid(row=1, column=1, sticky="w")
self.bearingBAinitVar = tk.StringVar()
bearingsBAinitValueLabel = ttk.Label(
bearingsFrame, textvariable=self.bearingBAinitVar)
bearingsBAinitValueLabel.grid(row=1, column=2, sticky="w")
# Spacer present in row 0 column 3, no need to insert another one here
bearingsBAfinalLabel = ttk.Label(
bearingsFrame, text=pgettext(
"bearings for a path between two points", "final: "))
bearingsBAfinalLabel.grid(row=1, column=4, sticky="w")
self.bearingBAfinalVar = tk.StringVar()
bearingsBAfinalValueLabel = ttk.Label(
bearingsFrame, textvariable=self.bearingBAfinalVar)
bearingsBAfinalValueLabel.grid(row=1, column=5, sticky="w")
spacer = ttk.Frame(calcRightFrame)
spacer.grid(row=3, column=0, sticky="nsew")
calcRightFrame.grid_rowconfigure(
3, minsize=rightSpacerHeight, weight=100)
# Flight duration in relation to ground speed
groundSpeedVsFlightTimeFrame = ttk.Frame(calcRightFrame)
groundSpeedVsFlightTimeFrame.grid(row=4, column=0, sticky="ew")
calcRightFrame.grid_rowconfigure(4, weight=0)
groundSpeedLabel = ttk.Label(groundSpeedVsFlightTimeFrame,
text=_("Ground speed: "))
groundSpeedLabel.grid(row=0, column=0, sticky="w")
groundSpeedVsFlightTimeFrame.grid_rowconfigure(0, weight=100)
self.groundSpeed = tk.StringVar()
self.groundSpeed.set("475") # typical airliner speed (in knots)
self.groundSpeedEntry = ttk.Entry(
groundSpeedVsFlightTimeFrame, width=5,
textvariable=self.groundSpeed)
self.groundSpeedEntry.grid(row=0, column=1)
groundSpeedVsFlightTimeFrame.grid_columnconfigure(1, minsize="20p",
pad="5p")
self.speedUnitLabelVar = tk.StringVar()
speedUnitLabel = ttk.Label(groundSpeedVsFlightTimeFrame,
textvariable=self.speedUnitLabelVar)
speedUnitLabel.grid(row=0, column=2, sticky="w")
groundSpeedVsFlightTimeFrame.grid_columnconfigure(2, pad="20p")
# Double arrow between ground speed and flight duration
linkLabel = ttk.Label(groundSpeedVsFlightTimeFrame, text="↔")
linkLabel.grid(row=0, column=3, sticky="ew")
groundSpeedVsFlightTimeFrame.grid_columnconfigure(3, pad="20p")
self.flightDuration = tk.StringVar() # minutes
self.flightDurationEntry = ttk.Entry(
groundSpeedVsFlightTimeFrame, width=6,
textvariable=self.flightDuration)
self.flightDurationEntry.grid(row=0, column=4)
groundSpeedVsFlightTimeFrame.grid_columnconfigure(4, pad="5p")
# Time unit + human-readable form for the flight duration (such as
# “1 day, 12 hours and 5 minutes”)
self.flightDurationPostfixVar = tk.StringVar()
flightDurationPostfixLabel = ttk.Label(
groundSpeedVsFlightTimeFrame,
textvariable=self.flightDurationPostfixVar)
flightDurationPostfixLabel.grid(row=0, column=5, sticky="w")
# Use a minimum column size in order to avoid frequent layout changes
# when the flight duration is modified.
groundSpeedVsFlightTimeFrame.grid_columnconfigure(
5, minsize=tk.font.Font().measure("0"*60))
ToolTip(flightDurationPostfixLabel,
_("Decomposition using Julian years\n"
"(1 Julian year = {days} days)").format(
days=locale.format("%.02f", 365.25, grouping=True)))
# This causes the initialization of the various fields of the dialog
# because of the TreeviewSelect event generated by the initial airport
# selection from airportChooserLabelFrame().
self.icaoVarA.trace("w", self.updateResults)
self.icaoVarB.trace("w", self.updateResults)
self.calcMethodVar.trace("w", self.updateResults)
self.bearingsType.trace("w", self.updateDisplayedResults)
self.lengthUnit.trace("w", self.updateDisplayedResults)
self.speedUnit.trace("w", self.onSpeedUnitChanged)
self.groundSpeed.trace("w", self.updateDisplayedFlightTime)
self.flightDuration.trace("w", self.updateDisplayedGroundSpeed)
self.flightDuration.trace("w", self.updateFlightDurationPostfix)
self.updateDisplayedSpeedUnit()
# Initially focus the search field for airport A
searchEntryA.focus_set()
def airportChooserLabelFrame(self, *, container, row, column, columnWeight,
labelFramesPadding, frameTitle, icaoVar):
labelFrame = ttk.LabelFrame(container, text=frameTitle,
padding=labelFramesPadding)
labelFrame.grid(row=row, column=column, sticky="nsew")
container.grid_rowconfigure(row, weight=100)
container.grid_columnconfigure(column, weight=100)
leftSubframe = ttk.Frame(labelFrame, padding=(0, 0, "30p", 0))
leftSubframe.grid(row=0, column=0, sticky="ew")
labelFrame.grid_rowconfigure(0, weight=100)
labelFrame.grid_columnconfigure(0, weight=100)
searchLabel = ttk.Label(leftSubframe, text=_("Search: "))
searchLabel.grid(row=0, column=0, sticky="w")
# The link to a StringVar is done in the AirportChooser class
searchEntry = ttk.Entry(leftSubframe)
searchEntry.grid(row=0, column=1, sticky="ew")
leftSubframe.grid_columnconfigure(1, weight=100)
spacer = ttk.Frame(leftSubframe)
spacer.grid(row=1, column=0, sticky="nsew")
leftSubframe.grid_rowconfigure(1, minsize="18p", weight=100)
# The button binding is done in the AirportChooser class
searchClearButton = ttk.Button(leftSubframe, text=_('Clear'))
searchClearButton.grid(row=2, column=1, sticky="w")
# The TreeviewSelect event binding is done in the AirportChooser class
airportSearchTree = widgets.MyTreeview(
labelFrame, columns=["icao", "name"],
show="headings", selectmode="browse", height=10)
airportSearchTree.grid(row=0, column=1, sticky="nsew")
labelFrame.grid_columnconfigure(1, weight=500)
def airportSearchTreeTooltipFunc(region, itemID, column, self=self):
if region == "cell":
icao = airportSearchTree.set(itemID, "icao")
found, airport = self.app.readAirportData(icao)
return airport.tooltipText() if found else None
else:
return None
airportChooserTooltip = TreeviewToolTip(airportSearchTree,
airportSearchTreeTooltipFunc)
airportScrollbar = ttk.Scrollbar(
labelFrame, orient='vertical',
command=airportSearchTree.yview, takefocus=0)
airportScrollbar.grid(row=0, column=2, sticky="ns")
def onAirportListScrolled(*args, airportScrollbar=airportScrollbar,
airportChooserTooltip=airportChooserTooltip):
airportScrollbar.set(*args)
# Once the Treeview is scrolled, the tooltip is likely not to match
# the airport under the mouse pointer anymore.
airportChooserTooltip.hide()
airportSearchTree.config(yscrollcommand=onAirportListScrolled)
airportSearchColumnsList = [
widgets.Column("icao", _("ICAO"), 0, "w", False, "width",
widthText="M"*4),
widgets.Column("name", _("Name"), 1, "w", True, "width",
widthText="M"*20)]
airportSearchColumns = { col.name: col
for col in airportSearchColumnsList }
airportSearchData = []
for icao in self.config.sortedIcao():
airport = self.config.airports[icao]
airportSearchData.append((icao, airport.name))
airportChooser = widgets.AirportChooser(
self.master, self.config,
icaoVar, # output variable of the chooser
airportSearchData,
airportSearchColumns, "icao", # Initially, sort by ICAO
searchEntry, searchClearButton,
airportSearchTree,
# Delay before propagating the effect of nav keys (arrows...).
0, # The calculation is fast enough here that now delay is needed.
treeUpdatedCallback=lambda t=airportChooserTooltip: t.hide())
# Initial airport selection
curIcao = self.config.airport.get()
try:
# This will set icaoVar via the TreeviewSelect event handler.
airportSearchTree.FFGoGotoItemWithValue("icao", curIcao)
except widgets.NoSuchItem:
icaoVar.set('')
return (airportChooser, searchEntry, searchClearButton,
airportSearchTree)
# Accept any arguments to allow safe use as a Tkinter variable observer
def updateResults(self, *args):
# By default, assume the calculations couldn't be carried out to make
# sure not to display wrong results in case we return without setting
# these instance attributes.
self.distance = self.bearingABinit = self.bearingABfinal = None
icaoA = self.icaoVarA.get()
icaoB = self.icaoVarB.get()
if icaoA and icaoB: # we have two defined airports, go ahead
distCalcFunc = getattr(self.geodCalc, self.calcMethodVar.get())
aptA = self.config.airports[icaoA]
aptB = self.config.airports[icaoB]
if magField is not None:
self.magDeclA, self.magDeclB = magField.batchDecl(
((aptA.lat, aptA.lon), (aptB.lat, aptB.lon)))
try:
g = distCalcFunc(aptA.lat, aptA.lon, aptB.lat, aptB.lon)
except geodesy.VincentyInverseError:
message = _('Unable to perform this calculation')
detail = _(
"Could not compute the distance and bearings between "
"{icaoA} ({nameA}) and {icaoB} ({nameB}).\n\n"
"Vincenty's algorithm for the geodetic inverse problem "
"is known not to handle all possible cases (most notably, "
"it can't handle the case of two antipodal or nearly "
"antipodal points). Use Karney's calculation method if "
"you want to see the results for these two airports.") \
.format(icaoA=icaoA, icaoB=icaoB,
nameA=aptA.name, nameB=aptB.name)
showwarning(_('{prg}').format(prg=PROGNAME), message,
detail=detail, parent=self.top)
else:
# The calculation went fine; set the relevant attributes.
self.distance = g["s12"] # in meters
self.bearingABinit = g["azi1"] # true bearing
self.bearingABfinal = g["azi2"] # ditto
self.updateDisplayedResults()
# Accept any arguments to allow safe use as a Tkinter variable observer
def updateDisplayedResults(self, *args):
self.updateDisplayedDistance()
self.updateDisplayedBearings()
self.updateDisplayedFlightTime()
def updateDisplayedDistance(self):
unit = self.lengthUnit.get()
if unit == "nautical mile":
if self.distance is not None:
dist = self.distance / 1852
unitPostfix = pgettext("length unit", " nm")
else:
assert unit == "kilometer", unit
if self.distance is not None:
dist = self.distance / 1000
unitPostfix = pgettext("length unit", " km")
if self.distance is None:
self.distanceVar.set("---")
else:
self.distanceVar.set(str(round(dist)))
self.distanceUnitLabelVar.set(unitPostfix)
def updateDisplayedBearings(self):
bearingsType = self.bearingsType.get()
assert bearingsType in ("magnetic", "true"), bearingsType
magBearings = (bearingsType == "magnetic")
azi1 = self.bearingABinit
azi2 = self.bearingABfinal
if azi1 is None or self.distance == 0:
initBearingAB = finalBearingBA = "---"
else:
if magBearings:
initBearingAB = normalizeHeading(azi1 - self.magDeclA)
finalBearingBA = normalizeHeading(azi1 + 180.0 - self.magDeclA)
else:
initBearingAB = normalizeHeading(azi1)
finalBearingBA = normalizeHeading(azi1 + 180.0)
if azi2 is None or self.distance == 0:
finalBearingAB = initBearingBA = "---"
else:
if magBearings:
finalBearingAB = normalizeHeading(azi2 - self.magDeclB)
initBearingBA = normalizeHeading(azi2 + 180.0 - self.magDeclB)
else:
finalBearingAB = normalizeHeading(azi2)
initBearingBA = normalizeHeading(azi2 + 180.0)
self.bearingABinitVar.set(str(initBearingAB))
self.bearingABfinalVar.set(str(finalBearingAB))
self.bearingBAinitVar.set(str(initBearingBA))
self.bearingBAfinalVar.set(str(finalBearingBA))
# Accept any arguments to allow safe use as a Tkinter variable observer
def updateDisplayedGroundSpeed(self, *args):
if self.dontUpdateGroundSpeed:
self.dontUpdateGroundSpeed = False
return
# Every code path below sets self.groundSpeed. This must not in turn
# cause an update to the flight duration...
self.dontUpdateFlightDuration = True
if self.distance is None:
self.groundSpeed.set("")
return
durationStr = self.flightDuration.get()
try:
durationMin = float(durationStr)
if durationMin < 0:
raise ValueError
except ValueError:
self.groundSpeed.set("")
return
unit = self.speedUnit.get()
assert unit in ("knot", "km/h")
try:
if unit == "knot":
gs = 60*self.distance / (durationMin*1852)
else:
gs = 60*self.distance / (durationMin*1000)
except ZeroDivisionError:
self.groundSpeed.set("")
else:
self.groundSpeed.set(str(round(gs)))
def _setInvalidFlightDuration(self):
self.flightDuration.set("")
# Accept any arguments to allow safe use as a Tkinter variable observer
def updateDisplayedFlightTime(self, *args):
if self.dontUpdateFlightDuration:
self.dontUpdateFlightDuration = False
return
# Every code path below sets self.flightDuration. This must not in turn
# cause an update to the ground speed...
self.dontUpdateGroundSpeed = True
if self.distance is None:
self._setInvalidFlightDuration()
return
groundSpeedStr = self.groundSpeed.get()
try:
groundSpeed = float(groundSpeedStr)
if groundSpeed < 0:
raise ValueError
except ValueError:
self._setInvalidFlightDuration()
return
unit = self.speedUnit.get()
assert unit in ("knot", "km/h")
try:
if unit == "knot":
durationMin = 60*self.distance / (groundSpeed*1852)
else:
durationMin = 60*self.distance / (groundSpeed*1000)
except ZeroDivisionError:
self._setInvalidFlightDuration()
return
roundedMin = round(durationMin)
self.flightDuration.set(str(roundedMin))
# Accept any arguments to allow safe use as a Tkinter variable observer
def updateFlightDurationPostfix(self, *args):
"""
Update the converted value of flight time in days, hours and minutes."""
baseUnitStr = pgettext("unit of time", "min")
durationStr = self.flightDuration.get()
try:
durationMin = float(durationStr)
if durationMin < 0:
raise ValueError
except ValueError:
self.flightDurationPostfixVar.set(baseUnitStr)
return
roundedMin = round(durationMin)
l = [baseUnitStr]
if roundedMin >= 60:
# Print a user-friendly representation of the flight duration if it
# is at least one minute.
l.append(" (" + self.decomposeMinutes(roundedMin) + ")")
self.flightDurationPostfixVar.set(''.join(l))
def decomposeMinutes(self, nMin):
"""Decompose an integral number of minutes."""
# 1 Julian year = 365.25 days. This one is easier to handle separately
# because of the non-integral number. 525960 = 365.25*24*60.
years, remainingMin = divmod(nMin, 525960)
hours, minutes = divmod(remainingMin, 60)
days, hours = divmod(hours, 24)
l = []
if years:
l.append(_("{nYears} {years}").format(
nYears=locale.format("%d", years, grouping=True),
years=ngettext("year", "years", years)))
if days:
l.append(_("{nDays} {days}").format(
nDays=locale.format("%d", days, grouping=True),
days=ngettext("day", "days", days)))
if hours:
l.append(_("{nHours} {hours}").format(
nHours=locale.format("%d", hours, grouping=True),
hours=ngettext("hour", "hours", hours)))
if minutes:
l.append(_("{nMinutes} {minutes}").format(
nMinutes=locale.format("%d", minutes, grouping=True),
minutes=ngettext("minute", "minutes", minutes)))
if len(l) >= 2:
res = ", ".join(l[:-1]) + pgettext("duration expression",
" and ") + l[-1]
elif l: # len(l) == 1, actually
res = l[0]
else: # 0 minutes in total
# Use the same expression as above for uniformity and to avoid
# creating useless work for translations
res = _("{nMinutes} {minutes}").format(
nMinutes=locale.format("%d", 0, grouping=True),
minutes=ngettext("minute", "minutes", minutes))
return res
# Accept any arguments to allow safe use as a Tkinter variable observer
def onSpeedUnitChanged(self, *args):
self.updateDisplayedSpeedUnit()
groundSpeedStr = self.groundSpeed.get()
try:
groundSpeed = float(groundSpeedStr)
except ValueError:
return
unit = self.speedUnit.get()
assert unit in ("knot", "km/h")
if unit == "knot":
gs = groundSpeed / 1.852
else:
gs = 1.852*groundSpeed
self.dontUpdateFlightDuration = True
self.groundSpeed.set(str(round(gs)))
def updateDisplayedSpeedUnit(self):
unit = self.speedUnit.get()
assert unit in ("knot", "km/h")
if unit == "knot":
unitPostfix = pgettext("speed unit", " kn")
else:
unitPostfix = pgettext("speed unit", " km/h")
self.speedUnitLabelVar.set(unitPostfix)
def hide(self, event=None):
"""Hide the GPS Tool dialog."""
self.top.withdraw()
def show(self, event=None):
"""Unhide a hidden GPS Tool dialog."""
self.top.deiconify()
def destroy(self, event=None):
"""Destroy the GPS Tool dialog."""
self.top.destroy()
# Normally, this should allow Python's garbage collector to free some
# memory, however it doesn't work so well. Presumably, the Tk widgets
# stay in memory even when they are not referenced anymore...
self.app.setGPSToolToNone() | PypiClean |
/1000pip%20Climber%20System%20download-2022.tar.gz/1000pip Climber System download-2022/README.md | <h1></h1>
<p>
<div class="separator" style="clear: both;"><a href="https://156544mlxov28levev7grc9v9g.hop.clickbank.net/?tid=py" rel="nofollow" style="display: block; padding: 1em 0px; text-align: center;" target="_blank"></a><a href="https://156544mlxov28levev7grc9v9g.hop.clickbank.net/?tid=py" rel="nofollow" style="display: inline; padding: 1em 0px;" target="_blank"><img border="0" data-original-height="66" data-original-width="342" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgTJ6OH0OJANSM_yJIoRArK0LR0CRaOEWTSm3mxxP23WdYgh3mQxKobSFzZrDFzIqCaNEnzzoXzexZ1XKUJF7eXiyCoKlBw1aQ3BOM5_92szbWpIjMKbFIasd51DpFoYG7UWvAn4rqfDqZe_nR8Ct0_ubH2WPREFJC_cJviYwd5Kpp3CtTabVq34YqWJA/s16000/button_download-now.png" /></a></div><div class="separator" style="clear: both;"><br /><p style="border: 0px; caret-color: rgb(85, 85, 85); color: #555555; font-family: Lato; font-size: 20px; font-stretch: inherit; line-height: 24px; margin: 0px 0px 15px; padding: 0px; vertical-align: baseline;">Would you like to achieve your dream of being a successful Forex trader? </p><p style="border: 0px; caret-color: rgb(85, 85, 85); color: #555555; font-family: Lato; font-size: 20px; font-stretch: inherit; line-height: 24px; margin: 0px 0px 15px; padding: 0px; vertical-align: baseline;">Take the shortcut to success with the state of the art Forex algorithm from 1000pip Climber. This trading system is rated 5 star on Investing.com and has verififed performance history from MyFXBook, so you can be confident that you are using the best algorithm available. </p><p style="border: 0px; caret-color: rgb(85, 85, 85); color: #555555; font-family: Lato; font-size: 20px; font-stretch: inherit; line-height: 24px; margin: 0px 0px 15px; padding: 0px; vertical-align: baseline;"><a href="https://156544mlxov28levev7grc9v9g.hop.clickbank.net/?tid=py" rel="nofollow" target="_blank">>>>Click here to learn more</a></p><p style="border: 0px; caret-color: rgb(85, 85, 85); color: #555555; font-family: Lato; font-size: 20px; font-stretch: inherit; line-height: 24px; margin: 0px 0px 15px; padding: 0px; vertical-align: baseline;">This unique Forex system continuously analyses the FX market, looking for potentially high probability price movements. Once identified the software will notify you visually, audibly, and via email. </p><p style="border: 0px; caret-color: rgb(85, 85, 85); color: #555555; font-family: Lato; font-size: 20px; font-stretch: inherit; line-height: 24px; margin: 0px 0px 15px; padding: 0px; vertical-align: baseline;">ALL key parameters are provided; entry price, take profit and stop loss. The Forex system is easy to set up and is designed to be followed 100% mechanically – just try the Forex system and see the results. This Forex system really is the simplest way to follow the FX market. </p><p style="border: 0px; caret-color: rgb(85, 85, 85); color: #555555; font-family: Lato; font-size: 20px; font-stretch: inherit; line-height: 24px; margin: 0px 0px 15px; padding: 0px; vertical-align: baseline;">This is a rare opportunity to use a professional Forex trading algorithm that has produced highly accurate and consistent results. Join our group of loyal members and see how you can revolutionize your trading.</p><p style="border: 0px; caret-color: rgb(85, 85, 85); color: #555555; font-family: Lato; font-size: 20px; font-stretch: inherit; line-height: 24px; margin: 0px 0px 15px; padding: 0px; vertical-align: baseline;"><br /></p><p style="border: 0px; caret-color: rgb(85, 85, 85); color: #555555; font-family: Lato; font-size: 20px; font-stretch: inherit; line-height: 24px; margin: 0px 0px 15px; padding: 0px; vertical-align: baseline;"><a href="https://156544mlxov28levev7grc9v9g.hop.clickbank.net/?tid=py" rel="nofollow" style="display: inline; font-family: -webkit-standard; padding: 1em 0px;" target="_blank"><img border="0" data-original-height="66" data-original-width="342" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgTJ6OH0OJANSM_yJIoRArK0LR0CRaOEWTSm3mxxP23WdYgh3mQxKobSFzZrDFzIqCaNEnzzoXzexZ1XKUJF7eXiyCoKlBw1aQ3BOM5_92szbWpIjMKbFIasd51DpFoYG7UWvAn4rqfDqZe_nR8Ct0_ubH2WPREFJC_cJviYwd5Kpp3CtTabVq34YqWJA/s16000/button_download-now.png" /></a></p></div>
# 1000pip Climber System download
```bash
pip3 1000pip Climber System download | PypiClean |
/Nuitka_fixed-1.1.2-cp310-cp310-win_amd64.whl/nuitka/code_generation/ListCodes.py | from .CodeHelpers import (
assignConstantNoneResult,
decideConversionCheckNeeded,
generateChildExpressionsCode,
generateExpressionCode,
withCleanupFinally,
withObjectCodeTemporaryAssignment,
)
from .ErrorCodes import getErrorExitBoolCode, getErrorExitCode
from .PythonAPICodes import generateCAPIObjectCode
def generateListCreationCode(to_name, expression, emit, context):
elements = expression.subnode_elements
assert elements
with withObjectCodeTemporaryAssignment(
to_name, "list_result", expression, emit, context
) as result_name:
element_name = context.allocateTempName("list_element")
def generateElementCode(element):
generateExpressionCode(
to_name=element_name, expression=element, emit=emit, context=context
)
# Use helper that makes sure we provide a reference.
if context.needsCleanup(element_name):
context.removeCleanupTempName(element_name)
helper_code = "PyList_SET_ITEM"
else:
helper_code = "PyList_SET_ITEM0"
return helper_code
helper_code = generateElementCode(elements[0])
emit("%s = PyList_New(%d);" % (result_name, len(elements)))
needs_exception_exit = any(
element.mayRaiseException(BaseException) for element in elements[1:]
)
with withCleanupFinally(
"list_build", result_name, needs_exception_exit, emit, context
) as guarded_emit:
emit = guarded_emit.emit
for count, element in enumerate(elements):
if count > 0:
helper_code = generateElementCode(element)
emit(
"%s(%s, %d, %s);" % (helper_code, result_name, count, element_name)
)
def generateListOperationAppendCode(statement, emit, context):
list_arg_name = context.allocateTempName("append_list")
generateExpressionCode(
to_name=list_arg_name,
expression=statement.subnode_list_arg,
emit=emit,
context=context,
)
value_arg_name = context.allocateTempName("append_value")
generateExpressionCode(
to_name=value_arg_name,
expression=statement.subnode_value,
emit=emit,
context=context,
)
context.setCurrentSourceCodeReference(statement.getSourceReference())
res_name = context.getBoolResName()
emit("assert(PyList_Check(%s));" % list_arg_name)
if context.needsCleanup(value_arg_name):
emit("%s = LIST_APPEND1(%s, %s);" % (res_name, list_arg_name, value_arg_name))
context.removeCleanupTempName(value_arg_name)
else:
emit("%s = LIST_APPEND0(%s, %s);" % (res_name, list_arg_name, value_arg_name))
# TODO: Only really MemoryError, which we often ignore.
getErrorExitBoolCode(
condition="%s == false" % res_name,
release_names=(list_arg_name, value_arg_name),
emit=emit,
context=context,
)
def generateListOperationExtendCode(to_name, expression, emit, context):
list_arg_name, value_arg_name = generateChildExpressionsCode(
expression=expression, emit=emit, context=context
)
emit("assert(PyList_Check(%s));" % list_arg_name)
# These give different error messages.
is_unpack = expression.isExpressionListOperationExtendForUnpack()
res_name = context.getBoolResName()
emit(
"%s = %s(%s, %s);"
% (
res_name,
"LIST_EXTEND_FOR_UNPACK" if is_unpack else "LIST_EXTEND",
list_arg_name,
value_arg_name,
)
)
getErrorExitBoolCode(
condition="%s == false" % res_name,
release_names=(list_arg_name, value_arg_name),
emit=emit,
context=context,
)
assignConstantNoneResult(to_name, emit, context)
def generateListOperationPopCode(to_name, expression, emit, context):
(list_arg_name,) = generateChildExpressionsCode(
expression=expression, emit=emit, context=context
)
emit("assert(PyList_Check(%s));" % list_arg_name)
with withObjectCodeTemporaryAssignment(
to_name, "list_pop_result", expression, emit, context
) as result_name:
# TODO: Have a dedicated helper instead, this could be more efficient.
emit(
'%s = PyObject_CallMethod(%s, (char *)"pop", NULL);'
% (result_name, list_arg_name)
)
getErrorExitCode(
check_name=result_name,
release_name=list_arg_name,
emit=emit,
context=context,
)
context.addCleanupTempName(result_name)
def generateBuiltinListCode(to_name, expression, emit, context):
generateCAPIObjectCode(
to_name=to_name,
capi="MAKE_LIST",
arg_desc=(("list_arg", expression.subnode_value),),
may_raise=expression.mayRaiseException(BaseException),
conversion_check=decideConversionCheckNeeded(to_name, expression),
source_ref=expression.getCompatibleSourceReference(),
emit=emit,
context=context,
) | PypiClean |
/Flask_AppBuilder-4.3.6-py3-none-any.whl/flask_appbuilder/security/sqla/apis/user/api.py | from datetime import datetime
from flask import g, request
from flask_appbuilder import ModelRestApi
from flask_appbuilder.api import expose, safe
from flask_appbuilder.const import API_RESULT_RES_KEY
from flask_appbuilder.models.sqla.interface import SQLAInterface
from flask_appbuilder.security.decorators import permission_name, protect
from flask_appbuilder.security.sqla.apis.user.schema import (
UserPostSchema,
UserPutSchema,
)
from flask_appbuilder.security.sqla.models import Role, User
from marshmallow import ValidationError
from sqlalchemy.exc import IntegrityError
from werkzeug.security import generate_password_hash
class UserApi(ModelRestApi):
resource_name = "security/users"
openapi_spec_tag = "Security Users"
class_permission_name = "User"
datamodel = SQLAInterface(User)
allow_browser_login = True
list_columns = [
"id",
"roles.id",
"roles.name",
"first_name",
"last_name",
"username",
"active",
"email",
"last_login",
"login_count",
"fail_login_count",
"created_on",
"changed_on",
"created_by.id",
"changed_by.id",
]
show_columns = list_columns
add_columns = [
"roles",
"first_name",
"last_name",
"username",
"active",
"email",
"password",
]
edit_columns = add_columns
search_columns = [
"username",
"first_name",
"last_name",
"active",
"email",
"created_by",
"changed_by",
"roles",
]
add_model_schema = UserPostSchema()
edit_model_schema = UserPutSchema()
def pre_update(self, item):
item.changed_on = datetime.now()
item.changed_by_fk = g.user.id
if item.password:
item.password = generate_password_hash(item.password)
def pre_add(self, item):
item.password = generate_password_hash(item.password)
@expose("/", methods=["POST"])
@protect()
@safe
@permission_name("post")
def post(self):
"""Create new user
---
post:
requestBody:
description: Model schema
required: true
content:
application/json:
schema:
$ref: '#/components/schemas/{{self.__class__.__name__}}.post'
responses:
201:
description: Item changed
content:
application/json:
schema:
type: object
properties:
result:
$ref: '#/components/schemas/{{self.__class__.__name__}}.post'
400:
$ref: '#/components/responses/400'
401:
$ref: '#/components/responses/401'
404:
$ref: '#/components/responses/404'
422:
$ref: '#/components/responses/422'
500:
$ref: '#/components/responses/500'
"""
try:
item = self.add_model_schema.load(request.json)
model = User()
roles = []
for key, value in item.items():
if key != "roles":
setattr(model, key, value)
else:
for role_id in item[key]:
role = (
self.datamodel.session.query(Role)
.filter(Role.id == role_id)
.one_or_none()
)
if role:
role.user_id = model.id
role.role_id = role_id
roles.append(role)
if "roles" in item.keys():
model.roles = roles
self.pre_add(model)
self.datamodel.add(model, raise_exception=True)
return self.response(201, id=model.id)
except ValidationError as error:
return self.response_400(message=error.messages)
except IntegrityError as e:
return self.response_422(message=str(e.orig))
@expose("/<pk>", methods=["PUT"])
@protect()
@safe
@permission_name("put")
def put(self, pk):
"""Edit user
---
put:
parameters:
- in: path
schema:
type: integer
name: pk
requestBody:
description: Model schema
required: true
content:
application/json:
schema:
$ref: '#/components/schemas/{{self.__class__.__name__}}.put'
responses:
200:
description: Item changed
content:
application/json:
schema:
type: object
properties:
result:
$ref: '#/components/schemas/{{self.__class__.__name__}}.put'
400:
$ref: '#/components/responses/400'
401:
$ref: '#/components/responses/401'
404:
$ref: '#/components/responses/404'
422:
$ref: '#/components/responses/422'
500:
$ref: '#/components/responses/500'
"""
try:
item = self.edit_model_schema.load(request.json)
model = self.datamodel.get(pk, self._base_filters)
roles = []
for key, value in item.items():
if key != "roles":
setattr(model, key, value)
else:
for role_id in item[key]:
role = (
self.datamodel.session.query(Role)
.filter(Role.id == role_id)
.one_or_none()
)
if role:
role.user_id = model.id
role.role_id = role_id
roles.append(role)
if "roles" in item.keys():
model.roles = roles
self.pre_update(model)
self.datamodel.edit(model, raise_exception=True)
return self.response(
200,
**{API_RESULT_RES_KEY: self.edit_model_schema.dump(item, many=False)},
)
except ValidationError as e:
return self.response_400(message=e.messages)
except IntegrityError as e:
return self.response_422(message=str(e.orig)) | PypiClean |
/Hyperion-0.9.10.tar.gz/Hyperion-0.9.10/docs/important/important.rst | Important Notes
===============
Gridding
--------
As a user, you are responsible for ensuring that the grid on which the
radiative transfer is carried out is adequate to resolve density and
temperature gradients. In the case of the
:class:`~hyperion.model.AnalyticalYSOModel` class, Hyperion tries to optimize
the gridding of the inner disk to ensure that it is properly resolved, but you
still need to ensure that the *number* of cells you specificy is adequate.
Number of photons
-----------------
Similarly to the `Gridding`_, you are responsible for choosing an adequate
number of photons to carry out the radiative transfer. You can read the
:doc:`../setup/photon_numbers` page for advice, and this page will be expanded
in future, but the best way to ensure that you have enough photons is to check
yourself that the results (temperature, images, SEDs) have converged if you
increase the number of photons.
Dust and/or Gas?
----------------
While Hyperion is a dust continuum radiative transfer code, you should take
care when specifying densities, accretion rates, etc. as to whether to include
the contribution from gas. The guidelines are as follows:
* The core Fortran code does not make any assumptions regarding gas - it simply
computes optical depths from the densities and opacities provided. Therefore,
dust opacities and densities have to be consistent as to whether they are per
unit dust mass, or per unit dust+gas mass, and what gas-to-dust ratio they
assume.
For example, if the dust opacities are provided per unit dust
mass, then the densities specified in the model should be dust densities. If
the dust opacities are provided per unit dust+gas mass, then the densities
specified in the model should be dust+gas densities. For the dust models
provided in :doc:`../dust/dust`, each dust model explicitly states whether it
includes gas in the opacities or not. When setting up your own dust models,
you should be aware of whether they are given per unit dust or dust+gas mass
and what gas-to-dust ratio was assumed.
* For the :class:`~hyperion.densities.UlrichEnvelope` density structure, the
infall rate provided is directly related to the density, so that if the dust
opacities are per unit dust mass, the infall rate should be the infall rate
of dust.
* For the :class:`~hyperion.densities.AlphaDisk` density structure, the
accretion rate provided does not relate to the density in the model, but it
used to add a source of luminosity. Therefore, it should include the total
mass of **dust+gas** regardless of how the opacities are expressed. However,
the mass or density of the disk should be given depending on the units of the
opacity, as described above.
| PypiClean |
/DecoratorTools-1.8.zip/DecoratorTools-1.8/README.txt | Class, Function, and Assignment Decorators, Metaclasses, and Related Tools
==========================================================================
Want to use decorators, but still need to support Python 2.3? Wish you could
have class decorators, decorate arbitrary assignments, or match decorated
function signatures to their original functions? Want to get metaclass
features without creating metaclasses? How about synchronized methods?
"DecoratorTools" gets you all of this and more. Some quick examples::
# Method decorator example
from peak.util.decorators import decorate
class Demo1(object):
decorate(classmethod) # equivalent to @classmethod
def example(cls):
print "hello from", cls
# Class decorator example
from peak.util.decorators import decorate_class
def my_class_decorator():
def decorator(cls):
print "decorating", cls
return cls
decorate_class(decorator)
class Demo2:
my_class_decorator()
# "decorating <class Demo2>" will be printed when execution gets here
Installing DecoratorTools (using ``"easy_install DecoratorTools"`` or
``"setup.py install"``) gives you access to the ``peak.util.decorators``
module. The tools in this module have been bundled for years inside of PEAK,
PyProtocols, RuleDispatch, and the zope.interface package, so they have been
widely used and tested. (Unit tests are also included, of course.)
This standalone version is backward-compatible with the bundled versions, so you
can mix and match decorators from this package with those provided by
zope.interface, TurboGears, etc.
For complete documentation, see the `DecoratorTools manual`_.
Changes since version 1.7:
* The ``@template_function`` decorator now supports using a return value
instead of a docstring, in order to work with the "-OO" option to Python;
it's highly recommended that you update your template functions to use
a return value instead of a docstring. (The error message has also been
improved for the missing docstring case.)
* Fixed metaclass collisions in ``classy`` subclasses that mix in abstract
classes (e.g. ``collections.Sequence``) in Python 2.6+.
Changes since version 1.6:
* Added ``synchronized`` decorator to support locking objects during method
execution.
Changes since version 1.5:
* Added ``classy`` base class that allows you to do the most often-needed
metaclass behviors *without* needing an actual metaclass.
Changes since version 1.4:
* Added ``enclosing_frame()`` function, so that complex decorators that call
DecoratorTools functions while being called *by* DecoratorTools functions,
will work correctly.
Changes since version 1.3:
* Added support for debugging generated code, including the code generated
by ``rewrap()`` and ``template_function``.
Changes since version 1.2:
* Added ``rewrap()`` function and ``template_function`` decorator to support
signature matching for decorated functions. (These features are similar to
the ones provided by Michele Simionato's "decorator" package, but do not
require Python 2.4 and don't change the standard idioms for creating
decorator functions.)
* ``decorate_class()`` will no longer apply duplicate class decorator
callbacks unless the ``allow_duplicates`` argument is true.
Changes since version 1.1:
* Fixed a problem where instances of different struct types could equal each
other
Changes since version 1.0:
* The ``struct()`` decorator makes it easy to create tuple-like data
structure types, by decorating a constructor function.
.. _DecoratorTools Manual: http://peak.telecommunity.com/DevCenter/DecoratorTools#toc
.. _toc:
.. contents:: **Table of Contents**
You may access any of the following APIs by importing them from
``peak.util.decorators``:
Simple Decorators
-----------------
decorate(\*decorators)
Apply `decorators` to the subsequent function definition or assignment
statement, thereby allowing you to conviently use standard decorators with
Python 2.3 and up (i.e., no ``@`` syntax required), as shown in the
following table of examples::
Python 2.4+ DecoratorTools
------------ --------------
@classmethod decorate(classmethod)
def blah(cls): def blah(cls):
pass pass
@foo
@bar(baz) decorate(foo, bar(baz))
def spam(bing): def spam(bing):
"""whee""" """whee"""
decorate_class(decorator [, depth=2, frame=None])
Set up `decorator` to be passed the containing class after its creation.
This function is designed to be called by a decorator factory function
executed in a class suite. It is not used directly; instead you simply
give your users a "magic function" to call in the body of the appropriate
class. Your "magic function" (i.e. a decorator factory function) then
calls ``decorate_class`` to register the decorator to be called when the
class is created. Multiple decorators may be used within a single class,
although they must all appear *after* the ``__metaclass__`` declaration, if
there is one.
The registered decorator will be given one argument: the newly created
containing class. The return value of the decorator will be used in place
of the original class, so the decorator should return the input class if it
does not wish to replace it. Example::
>>> from peak.util.decorators import decorate_class
>>> def demo_class_decorator():
... def decorator(cls):
... print "decorating", cls
... return cls
... decorate_class(decorator)
>>> class Demo:
... demo_class_decorator()
decorating __builtin__.Demo
In the above example, ``demo_class_decorator()`` is the decorator factory
function, and its inner function ``decorator`` is what gets called to
actually decorate the class. Notice that the factory function has to be
called within the class body, even if it doesn't take any arguments.
If you are just creating simple class decorators, you don't need to worry
about the `depth` or `frame` arguments here. However, if you are creating
routines that are intended to be used within other class or method
decorators, you will need to pay attention to these arguments to ensure
that ``decorate_class()`` can find the frame where the class is being
defined. In general, the simplest way to do this is for the function
that's called in the class body to get its caller's frame with
``sys._getframe(1)``, and then pass that frame down to whatever code will
be calling ``decorate_class()``. Alternately, you can specify the `depth`
that ``decorate_class()`` should call ``sys._getframe()`` with, but this
can be a bit trickier to compute correctly.
Note, by the way that ``decorate_class()`` ignores duplicate callbacks::
>>> def hello(cls):
... print "decorating", cls
... return cls
>>> def do_hello():
... decorate_class(hello)
>>> class Demo:
... do_hello()
... do_hello()
decorating __builtin__.Demo
Unless the ``allow_duplicates`` argument is set to a true value::
>>> def do_hello():
... decorate_class(hello, allow_duplicates=True)
>>> class Demo:
... do_hello()
... do_hello()
decorating __builtin__.Demo
decorating __builtin__.Demo
The ``synchronized`` Decorator
------------------------------
When writing multithreaded programs, it's often useful to define certain
operations as being protected by a lock on an object. The ``synchronized``
decorator lets you do this by decorating object methods, e.g.::
>>> from peak.util.decorators import synchronized
>>> class TryingToBeThreadSafe(object):
... synchronized() # could be just ``@synchronized`` for 2.4+
... def method1(self, arg):
... print "in method 1"
... self.method2()
... print "back in method 1"
... return arg
...
... synchronized() # could be just ``@synchronized`` for 2.4+
... def method2(self):
... print "in method 2"
... return 42
>>> TryingToBeThreadSafe().method1(99)
in method 1
in method 2
back in method 1
99
What you can't tell from this example is that a ``__lock__`` attribute is being
acquired and released around each of those calls. Let's take a closer look::
>>> class DemoLock:
... def __init__(self, name):
... self.name = name
... def acquire(self):
... print "acquiring", self.name
... def release(self):
... print "releasing", self.name
>>> ts = TryingToBeThreadSafe()
>>> ts.__lock__ = DemoLock("lock 1")
>>> ts.method2()
acquiring lock 1
in method 2
releasing lock 1
42
>>> ts.method1(27)
acquiring lock 1
in method 1
acquiring lock 1
in method 2
releasing lock 1
back in method 1
releasing lock 1
27
As you can see, if an object already has a ``__lock__`` attribute, its
``acquire()`` and ``release()`` methods are called around the execution of the
wrapped method. (Note that this means the lock must be re-entrant: that is,
you must use a ``threading.RLock`` or something similar to it, if you
explicitly create your own ``__lock__`` attribute.)
If the object has no ``__lock__``, the decorator creates a ``threading.RLock``
and tries to add it to the object's ``__dict__``::
>>> del ts.__lock__
>>> ts.method1(27)
in method 1
in method 2
back in method 1
27
>>> ts.__lock__
<_RLock(None, 0)>
(This means, by the way, that if you want to use synchronized methods on an
object with no ``__dict__``, you must explicitly include a ``__lock__`` slot
and initialize it yourself when the object is created.)
The ``struct()`` Decorator
--------------------------
The ``struct()`` decorator creates a tuple subclass with the same name and
docstring as the decorated function. The class will have read-only properties
with the same names as the function's arguments, and the ``repr()`` of its
instances will look like a call to the original function::
>>> from peak.util.decorators import struct
>>> def X(a,b,c):
... """Demo type"""
... return a,b,c
>>> X = struct()(X) # can't use decorators above functions in doctests
>>> v = X(1,2,3)
>>> v
X(1, 2, 3)
>>> v.a
1
>>> v.b
2
>>> v.c
3
>>> help(X) # doctest: +NORMALIZE_WHITESPACE
Help on class X:
<BLANKLINE>
class X(__builtin__.tuple)
| Demo type
|
| Method resolution order:
| X
| __builtin__.tuple
| __builtin__.object
|
| Methods defined here:
|
| __repr__(self)
|
| ----------------------------------------------------------------------
| Static methods defined here:
|
| __new__(cls, *args, **kw)
|
| ----------------------------------------------------------------------
| ...s defined here:
|
| a...
|
| b...
|
| c...
|
| ----------------------------------------------------------------------
| Data and other attributes defined here:
|
| __args__ = ['a', 'b', 'c']...
|
| __star__ = None
|
| ...
The function should return a tuple of values in the same order as its argument
names, as it will be used by the class' constructor. The function can perform
validation, add defaults, and/or do type conversions on the values.
If the function takes a ``*``, argument, it should flatten this argument
into the result tuple, e.g.::
>>> def pair(first, *rest):
... return (first,) + rest
>>> pair = struct()(pair)
>>> p = pair(1,2,3,4)
>>> p
pair(1, 2, 3, 4)
>>> p.first
1
>>> p.rest
(2, 3, 4)
Internally, ``struct`` types are actually tuples::
>>> print tuple.__repr__(X(1,2,3))
(<class 'X'>, 1, 2, 3)
The internal representation contains the struct's type object, so that structs
of different types will not compare equal to each other::
>>> def Y(a,b,c):
... return a,b,c
>>> Y = struct()(Y)
>>> X(1,2,3) == X(1,2,3)
True
>>> Y(1,2,3) == Y(1,2,3)
True
>>> X(1,2,3) == Y(1,2,3)
False
Note, however, that this means that if you want to unpack them or otherwise
access members directly, you must include the type entry, or use a slice::
>>> a, b, c = X(1,2,3) # wrong
Traceback (most recent call last):
...
ValueError: too many values to unpack
>>> t, a, b, c = X(1,2,3) # right
>>> a, b, c = X(1,2,3)[1:] # ok, if perhaps a bit unintuitive
The ``struct()`` decorator takes optional mixin classes (as positional
arguments), and dictionary entries (as keyword arguments). The mixin
classes will be placed before ``tuple`` in the resulting class' bases, and
the dictionary entries will be placed in the class' dictionary. These
entries take precedence over any default entries (e.g. methods, properties,
docstring, etc.) that are created by the ``struct()`` decorator::
>>> class Mixin(object):
... __slots__ = []
... def foo(self): print "bar"
>>> def demo(a, b):
... return a, b
>>> demo = struct(Mixin, reversed=property(lambda self: self[:0:-1]))(demo)
>>> demo(1,2).foo()
bar
>>> demo(3,4).reversed
(4, 3)
>>> demo.__mro__
(<class 'demo'>, <class ...Mixin...>, <type 'tuple'>, <type 'object'>)
Note that using mixin classes will result in your new class' instances having
a ``__dict__`` attribute, unless they are new-style classes that set
``__slots__`` to an empty list. And if they have any slots other than
``__weakref__`` or ``__dict__``, this will cause a type error due to layout
conflicts. In general, it's best to use mixins only for adding methods, not
data.
Finally, note that if your function returns a non-tuple result, it will be
returned from the class' constructor. This is sometimes useful::
>>> def And(a, b):
... if a is None: return b
... return a, b
>>> And = struct()(And)
>>> And(1,2)
And(1, 2)
>>> And(None, 27)
27
Signature Matching
------------------
One of the drawbacks to using function decorators is that using ``help()`` or
other documentation tools on a decorated function usually produces unhelpful
results::
>>> def before_and_after(message):
... def decorator(func):
... def decorated(*args, **kw):
... print "before", message
... try:
... return func(*args, **kw)
... finally:
... print "after", message
... return decorated
... return decorator
>>> def foo(bar, baz):
... """Here's some doc"""
>>> foo(1,2)
>>> help(foo) # doctest: -NORMALIZE_WHITESPACE
Help on function foo:
...
foo(bar, baz)
Here's some doc
...
>>> decorated_foo = before_and_after("hello")(foo)
>>> decorated_foo(1,2)
before hello
after hello
>>> help(decorated_foo) # doctest: -NORMALIZE_WHITESPACE
Help on function decorated:
...
decorated(*args, **kw)
...
So DecoratorTools provides you with two tools to improve this situation.
First, the ``rewrap()`` function provides a simple way to match the signature,
module, and other characteristics of the original function::
>>> from peak.util.decorators import rewrap
>>> def before_and_after(message):
... def decorator(func):
... def before_and_after(*args, **kw):
... print "before", message
... try:
... return func(*args, **kw)
... finally:
... print "after", message
... return rewrap(func, before_and_after)
... return decorator
>>> decorated_foo = before_and_after("hello")(foo)
>>> decorated_foo(1,2)
before hello
after hello
>>> help(decorated_foo) # doctest: -NORMALIZE_WHITESPACE
Help on function foo:
...
foo(bar, baz)
Here's some doc
...
The ``rewrap()`` function returns you a new function object with the same
attributes (including ``__doc__``, ``__dict__``, ``__name__``, ``__module__``,
etc.) as the original function, but which calls the decorated function.
If you want the same signature but don't want the overhead of another calling
level at runtime, you can use the ``@template_function`` decorator instead.
The downside to this approach, however, is that it is more complex to use. So,
this approach is only recommended for more performance-intensive decorators,
that you've already debugged using the ``rewrap()`` approach. But if you need
to use it, the appropriate usage looks something like this::
>>> from peak.util.decorators import template_function
>>> def before_and_after2(message):
... def decorator(func):
... [template_function()] # could also be @template_function in 2.4
... def before_and_after2(__func, __message):
... return '''
... print "before", __message
... try:
... return __func($args)
... finally:
... print "after", __message
... '''
... return before_and_after2(func, message)
... return decorator
>>> decorated_foo = before_and_after2("hello")(foo)
>>> decorated_foo(1,2)
before hello
after hello
>>> help(decorated_foo) # doctest: -NORMALIZE_WHITESPACE
Help on function foo:
...
foo(bar, baz)
Here's some doc
...
As you can see, the process is somewhat more complex. Any values you wish
the generated function to be able to access (aside from builtins) must be
declared as arguments to the decorating function, and all arguments must be
named so as not to conflict with the names of any of the decorated function's
arguments.
The function template must return a static string that will be compiled into
a new function by DecoratorTools. The returned string must either fit on one
line, or begin with a newline and have its contents indented by at least two
spaces. The string ``$args`` may be used one or more times in the returned
string, whenever calling the original function. The first argument of the
decorating function must always be the original function.
Note, however, that function template is only called *once*, in order to get
this string, and it's called with dummy arguments. So the function must not
attempt to actually *use* any of its arguments, and must **always return a
static string**. Any attempt to insert the supplied arguments into the
template will result in an error::
>>> def broken_decorator(func):
... [template_function()]
... def broken_template(__func, __message):
... # This doesn't work; don't do this:
... return '''
... print "before %(__message)s"
... try:
... return __func($args)
... finally:
... print "after %(__message)s"
... ''' % locals()
... return broken_template(func, "test")
>>> broken_decorator(foo)
Traceback (most recent call last):
...
RuntimeError: template functions must return a static string!
Debugging Generated Code
------------------------
Both ``rewrap()`` and ``template_function`` are implemented using code
generation and runtime compile/exec operations. Normally, such things are
frowned on in Python because Python's debugging tools don't work on generated
code. In particular, tracebacks and pdb don't show the source code of
functions compiled from strings... or do they? Let's see::
>>> def raiser(x, y="blah"):
... raise TypeError(y)
>>> def call_and_print_error(func, *args, **kw):
... # This function is necessary because we want to test the error
... # output, but doctest ignores a lot of exception detail, and
... # won't show the non-errror output unless we do it this way
... #
... try:
... func(*args, **kw)
... except:
... import sys, traceback
... print ''.join(traceback.format_exception(*sys.exc_info()))
>>> call_and_print_error(before_and_after("error")(raiser), 99)
before error
after error
Traceback (most recent call last):
File "<doctest README.txt[...]>", line ..., in call_and_print_error
func(*args, **kw)
File "<peak.util.decorators.rewrap wrapping raiser at 0x...>", line 3, in raiser
def raiser(x, y): return __decorated(x, y)
File ..., line ..., in before_and_after
return func(*args, **kw)
File "<doctest README.txt[...]>", line 2, in raiser
raise TypeError(y)
TypeError: blah
>>> call_and_print_error(before_and_after2("error")(raiser), 99)
before error
after error
Traceback (most recent call last):
File "<doctest README.txt[...]>", line ..., in call_and_print_error
func(*args, **kw)
File "<before_and_after2 wrapping raiser at 0x...>", line 6, in raiser
return __func(x, y)
File "<doctest README.txt[...]>", line 2, in raiser
raise TypeError(y)
TypeError: blah
As you can see, both decorators' tracebacks include lines from the pseudo-files
"<peak.util.decorators.rewrap wrapping raiser at 0x...>" and "<before_and_after2
wrapping raiser at 0x...>" (the hex id's of the corresponding objects are
omitted here). This is because DecoratorTools adds information to the Python
``linecache`` module, and tracebacks and pdb both use the ``linecache`` module
to get source lines. Any tools that use ``linecache``, either directly or
indirectly, will therefore be able to display this information for generated
code.
If you'd like to be able to use this feature for your own code generation or
non-file-based code (e.g. Python source loaded from a database, etc.), you can
use the ``cache_source()`` function::
>>> from peak.util.decorators import cache_source
>>> from linecache import getline
>>> demo_source = "line 1\nline 2\nline 3"
>>> cache_source("<dummy filename 1>", demo_source)
>>> getline("<dummy filename 1>", 3)
'line 3'
The function requires a dummy filename, which must be globally unique. An easy
way to ensure uniqueness is to include the ``id()`` of an object that will
exist at least as long as the source code being cached.
Also, if you have such an object, and it is weak-referenceable, you can supply
it as a third argument to ``cache_source()``, and when that object is garbage
collected the source will be removed from the ``linecache`` cache. If you're
generating a function from the source, the function object itself is ideal for
this purpose (and it's what ``rewrap()`` and ``template_function`` do)::
>>> def a_function(): pass # just an object to "own" the source
>>> cache_source("<dummy filename 2>", demo_source, a_function)
>>> getline("<dummy filename 2>", 1)
'line 1\n'
>>> del a_function # GC should now clean up the cache
>>> getline("<dummy filename 2>", 1)
''
Advanced Decorators
-------------------
The ``decorate_assignment()`` function can be used to create standalone "magic"
decorators that work in Python 2.3 and up, and which can also be used to
decorate arbitrary assignments as well as function/method definitions. For
example, if you wanted to create an ``info(**kwargs)`` decorator that could be
used either with or without an ``@``, you could do something like::
from peak.util.decorators import decorate_assignment
def info(**kw):
def callback(frame, name, func, old_locals):
func.__dict__.update(kw)
return func
return decorate_assignment(callback)
info(foo="bar") # will set dummy.foo="bar"; @info() would also work
def dummy(blah):
pass
As you can see, this ``info()`` decorator can be used without an ``@`` sign
for backward compatibility with Python 2.3. It can also be used *with* an
``@`` sign, for forward compatibility with Python 2.4 and up.
Here's a more detailed reference for the ``decorate_assignment()`` API:
decorate_assignment(callback [, depth=2, frame=None])
Call `callback(frame, name, value, old_locals)` on next assign in `frame`.
If a `frame` isn't supplied, a frame is obtained using
``sys._getframe(depth)``. `depth` defaults to 2 so that the correct frame
is found when ``decorate_assignment()`` is called from a decorator factory
that was called in the target usage context.
When `callback` is invoked, `old_locals` contains the frame's local
variables as they were *before* the assignment, thus allowing the callback
to access the previous value of the assigned variable, if any.
The callback's return value will become the new value of the variable.
`name` will contain the name of the variable being created or modified,
and `value` will be the thing being decorated. `frame` is the Python frame
in which the assignment occurred.
This function also returns a decorator function for forward-compatibility
with Python 2.4 ``@`` syntax. Note, however, that if the returned decorator
is used with Python 2.4 ``@`` syntax, the callback `name` argument may be
``None`` or incorrect, if the `value` is not the original function (e.g.
when multiple decorators are used).
"Meta-less" Classes
-------------------
Sometimes, you want to create a base class in a library or program that will
use the data defined in subclasses in some way, or that needs to customize
the way instances are created (*without* overriding ``__new__``).
Since Python 2.2, the standard way to accomplish these things is by creating
a custom metaclass and overriding ``__new__``, ``__init__``, or ``__call__``.
Unfortunately, however, metaclasses don't play well with others. If two
frameworks define independent metaclasses, and a library or application mixes
classes from those frameworks, the user will have to create a *third* metaclass
to sort out the differences. For this reason, it's best to minimize the number
of distinct metaclasses in use.
``peak.util.decorators`` therefore provides a kind of "one-size-fits-all"
metaclass, so that most of the common use cases for metaclasses can be handled
with just one metaclass. In PEAK and elsewhere, metaclasses are most commonly
used to perform some sort of operations during class creation (metaclass
``__new__`` and ``__init__``), or instance creation (metaclass ``__call__``,
wrapping the class-level ``__new__`` and ``__init__``).
Therefore, the ``classy`` base class allows subclasses to implement one or more
of the three classmethods ``__class_new__``, ``__class_init__``, and
``__class_call__``. The "one-size-fits-all" metaclass delegates these
operations to the class, so that you don't need a custom metaclass for every
class with these behaviors.
Thus, as long as all your custom metaclasses derive from ``classy.__class__``,
you can avoid any metaclass conflicts during multiple inheritance.
Here's an example of ``classy`` in use::
>>> from peak.util.decorators import classy, decorate
>>> class Demo(classy):
... """Look, ma! No metaclass!"""
...
... def __class_new__(meta, name, bases, cdict, supr):
... cls = supr()(meta, name, bases, cdict, supr)
... print "My metaclass is", meta
... print "And I am", cls
... return cls
...
... def __class_init__(cls, name, bases, cdict, supr):
... supr()(cls, name, bases, cdict, supr)
... print "Initializing", cls
...
... decorate(classmethod) # could be just @classmethod for 2.4+
... def __class_call__(cls, *args, **kw):
... print "before creating instance"
... ob = super(Demo, cls).__class_call__(*args, **kw)
... print "after creating instance"
... return ob
...
... def __new__(cls, *args, **kw):
... print "new called with", args, kw
... return super(Demo, cls).__new__(cls)
...
... def __init__(self, *args, **kw):
... print "init called with", args, kw
My metaclass is <class 'peak.util.decorators.classy_class'>
And I am <class 'Demo'>
Initializing <class 'Demo'>
>>> d = Demo(1,2,a="b")
before creating instance
new called with (1, 2) {'a': 'b'}
init called with (1, 2) {'a': 'b'}
after creating instance
Note that because ``__class_new__`` and ``__class_init__`` are called *before*
the name ``Demo`` has been bound to the class under creation, ``super()``
cannot be used in these methods. So, they use a special calling convention,
where the last argument (``supr``) is the ``next()`` method of an iterator
that yields base class methods in mro order. In other words, calling
``supr()(..., supr)`` invokes the previous definition of the method. You MUST
call this exactly *once* in your methods -- no more, no less.
``__class_call__`` is different, because it is called after the class already
exists. Thus, it can be a normal ``classmethod`` and use ``super()`` in the
standard way.
Finally, note that any given ``classy`` subclass does NOT need to define all
three methods; you can mix and match methods as needed. Just be sure to always
use the ``supr`` argument (or ``super()`` in the case of ``__class_call__``).
Utility/Introspection Functions
-------------------------------
``peak.util.decorators`` also exposes these additional utility and
introspection functions that it uses internally:
frameinfo(frame)
Return a ``(kind, module, locals, globals)`` tuple for a frame
The `kind` returned is a string, with one of the following values:
* ``"exec"``
* ``"module"``
* ``"class"``
* ``"function call"``
* ``"unknown"``
The `module` returned is the Python module object whose globals are in
effect for the frame, or ``None`` if the globals don't include a value for
``__name__``.
metaclass_is_decorator(mc)
Return truth if the given metaclass is a class decorator metaclass inserted
into a class by ``decorate_class()``, or by another class decorator
implementation that follows the same protocol (such as the one in
``zope.interface``).
metaclass_for_bases(bases, explicit_mc=None)
Given a sequence of 1 or more base classes and an optional explicit
``__metaclass__``, return the metaclass that should be used. This
routine basically emulates what Python does to determine the metaclass
when creating a class, except that it does *not* take a module-level
``__metaclass__`` into account, only the arguments as given. If there
are no base classes, you should just directly use the module-level
``__metaclass__`` or ``types.ClassType`` if there is none.
enclosing_frame(frame=None, level=3)
Given a frame and/or stack level, skip upward past any DecoratorTools code
frames. This function is used by ``decorate_class()`` and
``decorate_assignment()`` to ensure that any decorators calling them that
were themselves invoked using ``decorate()``, won't end up looking at
DecoratorTools code instead of the target. If you have a function that
needs to be callable via ``decorate()`` and which inspects stack frames,
you may need to use this function to access the right frame.
Mailing List
------------
Please direct questions regarding this package to the PEAK mailing list; see
http://www.eby-sarna.com/mailman/listinfo/PEAK/ for details.
| PypiClean |
/Fregger-0.10.7.tar.gz/Fregger-0.10.7/fregger/static/lang/tr.js | 'use strict';
/* jshint quotmark: double */
window.SwaggerTranslator.learn({
"Warning: Deprecated":"Uyarı: Deprecated",
"Implementation Notes":"Gerçekleştirim Notları",
"Response Class":"Dönen Sınıf",
"Status":"Statü",
"Parameters":"Parametreler",
"Parameter":"Parametre",
"Value":"Değer",
"Description":"Açıklama",
"Parameter Type":"Parametre Tipi",
"Data Type":"Veri Tipi",
"Response Messages":"Dönüş Mesajı",
"HTTP Status Code":"HTTP Statü Kodu",
"Reason":"Gerekçe",
"Response Model":"Dönüş Modeli",
"Request URL":"İstek URL",
"Response Body":"Dönüş İçeriği",
"Response Code":"Dönüş Kodu",
"Response Headers":"Dönüş Üst Bilgileri",
"Hide Response":"Dönüşü Gizle",
"Headers":"Üst Bilgiler",
"Try it out!":"Dene!",
"Show/Hide":"Göster/Gizle",
"List Operations":"Operasyonları Listele",
"Expand Operations":"Operasyonları Aç",
"Raw":"Ham",
"can't parse JSON. Raw result":"JSON çözümlenemiyor. Ham sonuç",
"Model Schema":"Model Şema",
"Model":"Model",
"apply":"uygula",
"Username":"Kullanıcı Adı",
"Password":"Parola",
"Terms of service":"Servis şartları",
"Created by":"Oluşturan",
"See more at":"Daha fazlası için",
"Contact the developer":"Geliştirici ile İletişime Geçin",
"api version":"api versiyon",
"Response Content Type":"Dönüş İçerik Tipi",
"fetching resource":"kaynak getiriliyor",
"fetching resource list":"kaynak listesi getiriliyor",
"Explore":"Keşfet",
"Show Swagger Petstore Example Apis":"Swagger Petstore Örnek Api'yi Gör",
"Can't read from server. It may not have the appropriate access-control-origin settings.":"Sunucudan okuma yapılamıyor. Sunucu access-control-origin ayarlarınızı kontrol edin.",
"Please specify the protocol for":"Lütfen istenen adres için protokol belirtiniz",
"Can't read swagger JSON from":"Swagger JSON bu kaynaktan okunamıyor",
"Finished Loading Resource Information. Rendering Swagger UI":"Kaynak baglantısı tamamlandı. Swagger UI gösterime hazırlanıyor",
"Unable to read api":"api okunamadı",
"from path":"yoldan",
"server returned":"sunucuya dönüldü"
}); | PypiClean |
/MetPyQC-0.1.1-py3-none-any.whl/metpyqc/temporal.py |
import pandas as pd
import numpy as np
def step_all(x, step_val_susp, step_val_wrong, flag_val_susp, flag_val_wrong):
r"""
Check the difference between consecutive observations.
Parameters
----------
x : pd.DataFrame
Dataframe to be tested (time, stations)
step_val_susp : float
step limit for suspect values.
step_val_wrong : float
step limit for wrong values.
flag_val_susp: int
integer representing flag values to be associated to
suspect values.
flag_val_wrong: int
integer representing flag values to be associated to
wrong values.
Returns
-------
flag : pd.DataFrame
Dataframe with flags identifying values which fail the test.
res : pd.DataFrame
Dataframe with quantitative residuals from prescribed limits:
positive values indicates suspect or wrong values.
Warning
-------
This function must be used with dataframes with homogeneous temporal resolution
on the temporal index. Missing dates have to be filled with np.nan values.
"""
flag = pd.DataFrame(0, index=x.index, columns=x.columns, )
res = pd.DataFrame(0, index=x.index, columns=x.columns, )
prev = x.shift(-1)
post = x.shift(+1)
diff_prev = abs(x - prev)
diff_post = abs(post - x)
mask_step_wrong = ((diff_prev > step_val_wrong) | (diff_post > step_val_wrong))
mask_step_susp = (((diff_prev > step_val_susp) | (diff_post > step_val_susp)) & (~mask_step_wrong))
res_prev = diff_prev - step_val_susp
res_post = diff_post - step_val_susp
mask_res = (res_prev >= res_post)
res[mask_res] = res_prev[mask_res]
res[~mask_res] = res_post[~mask_res]
flag[mask_step_susp] += flag_val_susp
flag[mask_step_wrong] += flag_val_wrong
return flag, res
def step_seas(x, step_vals_susp, step_vals_wrong, flag_val_susp, flag_val_wrong):
r"""
Check the difference between consecutive observations by considering different
limits for each season.
Parameters
----------
x : pd.DataFrame
Dataframe to be tested (time, stations)
step_vals_susp : array_like, shape(4,)
Array of step limits for suspect values for each season in this order:
DJF (December, January, February),MAM (March, April, May),
JJA (June, July, August), SON (September, October, November).
step_vals_wrong : array_like, shape(4,)
Array of step limits for wrong values for each season in this order:
DJF (December, January, February),MAM (March, April, May),
JJA (June, July, August), SON (September, October, November).
flag_val_susp: int
integer representing flag values to be associated to
suspect values.
flag_val_wrong: int
integer representing flag values to be associated to
wrong values.
Returns
-------
flag : pd.DataFrame
Dataframe with flags identifying values which fail the test.
res : pd.DataFrame
Dataframe with quantitative residuals from prescribed limits:
positive values indicates suspect or wrong values.
Warning
-------
This function must be used with dataframes with homogeneous temporal resolution
on the temporal index. Missing dates have to be filled with np.nan values.
"""
flag = pd.DataFrame(0, index=x.index, columns=x.columns, )
res = pd.DataFrame(0, index=x.index, columns=x.columns, )
mask_djf = ((x.index.month == 12) | (x.index.month == 1) | (x.index.month == 2))
mask_mam = ((x.index.month == 3) | (x.index.month == 4) | (x.index.month == 5))
mask_jja = ((x.index.month == 6) | (x.index.month == 7) | (x.index.month == 8))
mask_son = ((x.index.month == 9) | (x.index.month == 10) | (x.index.month == 11))
mask_seas = [mask_djf, mask_mam, mask_jja, mask_son]
for i in range(len(step_vals_susp)):
x_seas = x.copy()
x_seas[~mask_seas[i]] = np.nan
flag_seas, res_seas = step_all(x_seas, step_vals_susp[i], step_vals_wrong[i],
flag_val_susp, flag_val_wrong)
flag[mask_seas[i]] = flag_seas
res[mask_seas[i]] = res_seas
return flag, res
def persistence_noc(x, n, flag_val):
r"""
Not Observed Change (NOC) Persistence test to check minimum variability
of a certain variable with respect to the previous n time steps.
Parameters
----------
x : pd.DataFrame
Dataframe to be tested (time, stations)
n : int
Number of previous time steps to be considered in the test.
The value must be bigger than 1.
flag_val: int
integer representing flag values to be associated to suspect values.
Returns
-------
flag : pd.DataFrame
Dataframe with flags identifying values which fail the test.
res : pd.DataFrame
Dataframe with quantitative residuals representing
the maximum absolute difference between the selected observation and the
preceding ones. As this value tends to zero, the selected observation
indicates temporal persistence.
Warning
-------
This function must be used with dataframes with homogeneous temporal resolution
on the temporal index. Missing dates have to be filled with np.nan values.
"""
flag = pd.DataFrame(0, index=x.index, columns=x.columns, )
prev1 = x.shift(+1)
diff1 = abs(x - prev1)
res = diff1.copy()
mask_pers = (diff1 == 0)
for i in range(2, n+1):
prev_i = x.shift(+i)
diff_i = abs(x - prev_i)
mask_pers = (mask_pers & (diff_i == 0))
res = np.maximum(res, diff_i)
flag[mask_pers] += flag_val
return flag, res
def persistence_var(x, window, perc_min, method, var_val_min, flag_val):
r"""
Minimum Variability Persistence test to check minimum allowed variability
of a certain variable with respect to a certain time window.
Parameters
----------
x : pd.DataFrame
Dataframe to be tested (time, stations)
window : int
Number of hours over which evaluate temporal variability
perc_min : int
Minimum percentage of valid observations (not missing)
in order to calculate temporal variability
method : {'STD', 'MAX_MIN', 'IQR'}
Method for calculating the temporal variability within the desired
time window: standard deviation (STD), difference between absolute maximum
and minimum values (MAX_MIN), interquartile range (IQR).
var_val_min : float
Minimum allowed variability for the selected variable within the
defined time window
flag_val: int
integer representing flag values to be associated to suspect values.
Returns
-------
flag : pd.DataFrame
Dataframe with flags identifying values which fail the test.
res : pd.DataFrame
Dataframe with quantitative residuals representing
the difference between the actual variability and the minimum allowed
variability. Positive values indicates suspect observations.
Raises
------
Exception
If the selected method is neither 'STD', 'MAX_MIN' nor 'IQR'.
"""
flag = pd.DataFrame(0, index=x.index, columns=x.columns, )
var_count = x.resample('{}H'.format(window)).count()
var_perc = (var_count / window) * 100
mask_perc = (var_perc <= perc_min)
if method == 'STD':
std = x.resample('{}H'.format(window)).std()
std_nan = std.copy()
std_nan[mask_perc] = np.nan
std_res = std_nan.resample('H').pad()
mask_nan = np.isnan(x)
mask_pers_std = ((std_res < var_val_min) & (~mask_nan))
flag[mask_pers_std] += flag_val
res = var_val_min - std_res
elif method == 'MAX_MIN':
r = x.resample('{}H'.format(window)).max() - x.resample('{}H'.format(window)).min()
r_nan = r.copy()
r_nan[mask_perc] = np.nan
r_res = r_nan.resample('H').pad()
mask_nan = np.isnan(x)
mask_pers_maxmin = ((r_res < var_val_min) & (~mask_nan))
flag[mask_pers_maxmin] += flag_val
res = var_val_min - r_res
elif method == 'IQR':
r = x.resample('{}H'.format(window)).quantile(0.75) - x.resample('{}H'.format(window)).quantile(0.25)
r_nan = r.copy()
r_nan[mask_perc] = np.nan
r_res = r_nan.resample('H').pad()
mask_nan = np.isnan(x)
mask_pers_iqr = ((r_res < var_val_min) & (~mask_nan))
flag[mask_pers_iqr] += flag_val
res = var_val_min - r_res
else:
raise Exception('Selected method not found. Available methods are:'
' STD, MAX_MIN and IQR.')
return flag, res
def isolated(x, n, flag_val):
r"""
Check if an observation of rainfall (or other discrete variables) is isolated with
respect to the adjacent measures (in time).
Parameters
----------
x : pd.DataFrame
Dataframe to be tested (time, stations)
n : int
Number of previous and following time steps to be considered in the test.
The value must be bigger than 1.
flag_val: int
integer representing flag values to be associated to suspect values.
Returns
-------
flag : pd.DataFrame
Dataframe with flags identifying values which fail the test.
res : pd.DataFrame
Dataframe with quantitative residuals representing
the difference between the selected observation and the
sum of the adjacent ones. As this value increases, the selected observation
is more isolated with respect to neighbors.
Warning
-------
This function must be used with dataframes with homogeneous temporal resolution
on the temporal index. Missing dates have to be filled with np.nan values.
"""
flag = pd.DataFrame(0, index=x.index, columns=x.columns, )
prev1 = x.shift(+1)
post1 = x.shift(-1)
sum = prev1+post1
mask_isol = ((x != 0) & (sum == 0))
for i in range(2, n+1):
prev_i = x.shift(+i)
post_i = x.shift(-i)
sum_i = prev_i + post_i
mask_isol = (mask_isol & (sum_i == 0))
sum = sum + sum_i
res = x - sum
flag[mask_isol] += flag_val
return flag, res | PypiClean |
/OASYS1-SHADOWFOUR-0.0.4.tar.gz/OASYS1-SHADOWFOUR-0.0.4/orangecontrib/shadow4/widgets/sources/ow_wiggler.py | import sys
import time
# from syned.storage_ring.magnetic_structures.wiggler import Wiggler
#
# from orangecontrib.shadow4.widgets.gui.ow_light_source import OWLightSource
# # from orangecontrib.syned.widgets.gui.ow_light_source import OWLightSource
# # from orangecontrib.shadow4.widgets.gui.ow_generic_element import GenericElement
# from orangecontrib.shadow4.widgets.gui.ow_automatic_element import AutomaticElement
from orangecontrib.shadow4.widgets.gui.ow_electron_beam import OWElectronBeam
from orangecontrib.shadow4.widgets.gui.plots import plot_data1D
from oasys.widgets import gui as oasysgui
from orangewidget import gui as orangegui
from orangewidget.settings import Setting
# from syned.storage_ring.electron_beam import ElectronBeam
from shadow4.syned.magnetic_structure_1D_field import MagneticStructure1DField
from syned.storage_ring.magnetic_structures.wiggler import Wiggler
from shadow4.sources.wiggler.source_wiggler import SourceWiggler
from shadow4.compatibility.beam3 import Beam3
from srxraylib.sources.srfunc import wiggler_spectrum
# for the moment, use ShadowOui beam...
from orangecontrib.shadow.util.shadow_objects import ShadowBeam
class OWWiggler(OWElectronBeam):
name = "Wiggler Light Source"
description = "Wiggler Light Source"
icon = "icons/wiggler.png"
priority = 3
# inputs = [("Trigger", TriggerOut, "sendNewBeam")]
outputs = [{"name":"Beam",
"type":ShadowBeam,
"doc":"Shadow Beam",
"id":"beam"}]
magnetic_field_source = Setting(0)
number_of_periods = Setting(1)
k_value = Setting(10.0)
id_period = Setting(0.010)
file_with_b_vs_y = Setting("/Users/srio/Oasys/BM_multi7.b")
file_with_harmonics = Setting("tmp.h")
shift_x_flag = Setting(4)
shift_x_value =Setting(0.0)
shift_betax_flag = Setting(4)
shift_betax_value = Setting(0.0)
e_min = Setting(0.1)
e_max = Setting(0.1)
n_rays = Setting(100)
plot_wiggler_graph = 1
workspace_units_to_cm = 1.0
shadowoui_neam = None
def __init__(self):
super().__init__()
tab_wiggler = oasysgui.createTabPage(self.tabs_control_area, "Wiggler Setting")
# wiggler parameters box
left_box_3 = oasysgui.widgetBox(tab_wiggler, "Wiggler Parameters", addSpace=False, orientation="vertical", height=200)
orangegui.comboBox(left_box_3, self, "magnetic_field_source", label="Type", items=["conventional/sinusoidal", "B from file (y [m], Bz [T])", "B from harmonics"], callback=self.set_visibility, labelWidth=220, orientation="horizontal")
oasysgui.lineEdit(left_box_3, self, "number_of_periods", "Number of Periods", labelWidth=260, tooltip="Number of Periods", valueType=int, orientation="horizontal")
self.conventional_sinusoidal_box = oasysgui.widgetBox(left_box_3, "", addSpace=False, orientation="vertical")
oasysgui.lineEdit(self.conventional_sinusoidal_box, self, "k_value", "K value", labelWidth=260, tooltip="K value", valueType=float, orientation="horizontal")
oasysgui.lineEdit(self.conventional_sinusoidal_box, self, "id_period", "ID period [m]", labelWidth=260, tooltip="ID period [m]", valueType=float, orientation="horizontal")
self.b_from_file_box = oasysgui.widgetBox(left_box_3, "", addSpace=False, orientation="vertical")
file_box = oasysgui.widgetBox(self.b_from_file_box, "", addSpace=True, orientation="horizontal", height=25)
self.le_file_with_b_vs_y = oasysgui.lineEdit(file_box, self, "file_with_b_vs_y", "File/Url with B vs Y", labelWidth=150, tooltip="File/Url with B vs Y", valueType=str, orientation="horizontal")
orangegui.button(file_box, self, "...", callback=self.selectFileWithBvsY)
self.b_from_harmonics_box = oasysgui.widgetBox(left_box_3, "", addSpace=False, orientation="vertical")
oasysgui.lineEdit(self.b_from_harmonics_box, self, "id_period", "ID period [m]", labelWidth=260, tooltip="ID period [m]", valueType=float, orientation="horizontal")
file_box = oasysgui.widgetBox(self.b_from_harmonics_box, "", addSpace=True, orientation="horizontal", height=25)
self.le_file_with_harmonics = oasysgui.lineEdit(file_box, self, "file_with_harmonics", "File/Url with harmonics", labelWidth=150, tooltip="File/Url with harmonics", valueType=str, orientation="horizontal")
orangegui.button(file_box, self, "...", callback=self.selectFileWithHarmonics)
# Electron Box
left_box_10 = oasysgui.widgetBox(tab_wiggler, "Electron Initial Condition", addSpace=False, orientation="vertical", height=200)
orangegui.comboBox(left_box_10, self, "shift_betax_flag", label="Shift Transversal Velocity", items=["No shift", "Half excursion", "Minimum", "Maximum", "Value at zero", "User value"], callback=self.set_ShiftBetaXFlag, labelWidth=260, orientation="horizontal")
self.shift_betax_value_box = oasysgui.widgetBox(left_box_10, "", addSpace=False, orientation="vertical", height=25)
self.shift_betax_value_box_hidden = oasysgui.widgetBox(left_box_10, "", addSpace=False, orientation="vertical", height=25)
oasysgui.lineEdit(self.shift_betax_value_box, self, "shift_betax_value", "Value", labelWidth=260, valueType=float, orientation="horizontal")
orangegui.comboBox(left_box_10, self, "shift_x_flag", label="Shift Transversal Coordinate", items=["No shift", "Half excursion", "Minimum", "Maximum", "Value at zero", "User value"], callback=self.set_ShiftXFlag, labelWidth=260, orientation="horizontal")
self.shift_x_value_box = oasysgui.widgetBox(left_box_10, "", addSpace=False, orientation="vertical", height=25)
self.shift_x_value_box_hidden = oasysgui.widgetBox(left_box_10, "", addSpace=False, orientation="vertical", height=25)
oasysgui.lineEdit(self.shift_x_value_box, self, "shift_x_value", "Value [m]", labelWidth=260, valueType=float, orientation="horizontal")
self.set_ShiftXFlag()
self.set_ShiftBetaXFlag()
# Calculation Box
left_box_11 = oasysgui.widgetBox(tab_wiggler, "Sampling rays", addSpace=False, orientation="vertical", height=200)
oasysgui.lineEdit(left_box_11, self, "e_min", "Min photon energy [eV]", labelWidth=260, valueType=float, orientation="horizontal")
oasysgui.lineEdit(left_box_11, self, "e_max", "Max photon energy [eV]", labelWidth=260, valueType=float, orientation="horizontal")
oasysgui.lineEdit(left_box_11, self, "n_rays", "Number of rays", labelWidth=260, valueType=int, orientation="horizontal")
self.set_ShiftXFlag()
self.set_ShiftBetaXFlag()
# wiggler plots
self.add_specific_wiggler_plots()
self.set_visibility()
orangegui.rubber(self.controlArea)
def add_specific_wiggler_plots(self):
wiggler_plot_tab = oasysgui.widgetBox(self.main_tabs, addToLayout=0, margin=4)
self.main_tabs.insertTab(1, wiggler_plot_tab, "Wiggler Plots")
view_box = oasysgui.widgetBox(wiggler_plot_tab, "Plotting Style", addSpace=False, orientation="horizontal")
view_box_1 = oasysgui.widgetBox(view_box, "", addSpace=False, orientation="vertical", width=350)
self.wiggler_view_type_combo = orangegui.comboBox(view_box_1, self,
"plot_wiggler_graph",
label="Plot Graphs?",
labelWidth=220,
items=["No", "Yes"],
callback=self.plot_widget_all,
sendSelectedValue=False,
orientation="horizontal")
self.wiggler_tab = []
self.wiggler_tabs = oasysgui.tabWidget(wiggler_plot_tab)
current_tab = self.wiggler_tabs.currentIndex()
size = len(self.wiggler_tab)
indexes = range(0, size)
for index in indexes:
self.wiggler_tabs.removeTab(size-1-index)
self.wiggler_tab = [
orangegui.createTabPage(self.wiggler_tabs, "Magnetic Field"),
orangegui.createTabPage(self.wiggler_tabs, "Electron Curvature"),
orangegui.createTabPage(self.wiggler_tabs, "Electron Velocity"),
orangegui.createTabPage(self.wiggler_tabs, "Electron Trajectory"),
orangegui.createTabPage(self.wiggler_tabs, "Wiggler Spectrum"),
orangegui.createTabPage(self.wiggler_tabs, "Wiggler Spectral power")
]
for tab in self.wiggler_tab:
tab.setFixedHeight(self.IMAGE_HEIGHT)
tab.setFixedWidth(self.IMAGE_WIDTH)
self.wiggler_plot_canvas = [None, None, None, None, None, None]
self.wiggler_tabs.setCurrentIndex(current_tab)
def set_PlotGraphs(self):
pass
def set_visibility(self):
self.conventional_sinusoidal_box.setVisible(self.magnetic_field_source == 0)
self.b_from_file_box.setVisible(self.magnetic_field_source == 1)
self.b_from_harmonics_box.setVisible(self.magnetic_field_source == 2)
def selectFileWithBvsY(self):
self.le_file_with_b_vs_y.setText(oasysgui.selectFileFromDialog(self, self.file_with_b_vs_y, "Open File With B vs Y"))
def selectFileWithHarmonics(self):
self.le_file_with_harmonics.setText(oasysgui.selectFileFromDialog(self, self.file_with_harmonics, "Open File With Harmonics"))
def set_ShiftXFlag(self):
self.shift_x_value_box.setVisible(self.shift_x_flag==5)
self.shift_x_value_box_hidden.setVisible(self.shift_x_flag!=5)
def set_ShiftBetaXFlag(self):
self.shift_betax_value_box.setVisible(self.shift_betax_flag==5)
self.shift_betax_value_box_hidden.setVisible(self.shift_betax_flag!=5)
# def get_magnetic_structure(self):
# return Wiggler(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, Wiggler):
# raise ValueError("Magnetic Structure is not a Wiggler")
#
# def populate_magnetic_structure(self, magnetic_structure):
# if not isinstance(magnetic_structure, Wiggler):
# raise ValueError("Magnetic Structure is not a Wiggler")
#
# self.K_horizontal = magnetic_structure._K_horizontal
# self.K_vertical = magnetic_structure._K_vertical
# self.period_length = magnetic_structure._period_length
# self.number_of_periods = magnetic_structure._number_of_periods
def run_shadow4(self):
nTrajPoints = 501
#
# syned
#
syned_electron_beam = self.get_syned_electron_beam()
print(syned_electron_beam.info())
# B from file
if self.magnetic_field_source == 0:
syned_wiggler = Wiggler(
K_vertical=self.k_value,
K_horizontal=0.0,
period_length=self.id_period,
number_of_periods=self.number_of_periods
)
elif self.magnetic_field_source == 1:
syned_wiggler = MagneticStructure1DField.initialize_from_file(self.file_with_b_vs_y)
elif self.magnetic_field_source == 2:
raise Exception(NotImplemented)
print(syned_wiggler.info())
sw = SourceWiggler()
sourcewiggler = SourceWiggler(name="test",
syned_electron_beam=syned_electron_beam,
syned_wiggler=syned_wiggler,
flag_emittance=True,
emin=self.e_min,
emax=self.e_max,
ng_e=100,
ng_j=nTrajPoints)
if self.e_min == self.e_max:
sourcewiggler.set_energy_monochromatic(self.e_min)
# sourcewiggler.set_electron_initial_conditions_by_label(velocity_label="value_at_zero",
# position_label="value_at_zero",)
sourcewiggler.set_electron_initial_conditions(
shift_x_flag=self.shift_x_flag,
shift_x_value=self.shift_x_value,
shift_betax_flag=self.shift_betax_flag,
shift_betax_value=self.shift_betax_value)
# sourcewiggler.calculate_radiation()
print(sourcewiggler.info())
t00 = time.time()
print(">>>> starting calculation...")
rays = sourcewiggler.calculate_rays(NRAYS=self.n_rays)
t11 = time.time() - t00
print(">>>> time for %d rays: %f s, %f min, " % (self.n_rays, t11, t11 / 60))
print(">>> Results of calculate_radiation")
print(">>> trajectory.shape: ",sourcewiggler._result_trajectory.shape)
print(">>> cdf: ", sourcewiggler._result_cdf.keys())
calculate_spectrum = True
if calculate_spectrum:
e, f, w = wiggler_spectrum(sourcewiggler._result_trajectory,
enerMin=self.e_min,
enerMax=self.e_max,
nPoints=500,
electronCurrent=self.ring_current,
outFile="",
elliptical=False)
# from srxraylib.plot.gol import plot
# plot(e, f, xlog=False, ylog=False, show=False,
# xtitle="Photon energy [eV]", ytitle="Flux [Photons/s/0.1%bw]", title="Flux")
# plot(e, w, xlog=False, ylog=False, show=True,
# xtitle="Photon energy [eV]", ytitle="Spectral Power [E/eV]", title="Spectral Power")
beam = Beam3.initialize_from_array(rays)
#
# wiggler plots
#
self.plot_widget_all(sourcewiggler,e,f,w)
self.shadowoui_beam = ShadowBeam(oe_number = 0, beam = beam, number_of_rays = 0)
self.plot_shadow_all()
self.send("Beam", self.shadowoui_beam)
def set_PlotQuality(self):
self.plot_shadow_all()
def plot_shadow_all(self):
if self.view_type == 2:
for slot_index in range(6):
current_item = self.tab[slot_index].layout().itemAt(0)
self.tab[slot_index].layout().removeItem(current_item)
tmp = oasysgui.QLabel() # TODO: is there a better way to clean this??????????????????????
self.tab[slot_index].layout().addWidget(tmp)
elif self.view_type == 1:
raise Exception(NotImplemented)
else:
self.plot_xy(self.shadowoui_beam, 10, 1, 3, 0, "(X,Z)", "X", "Z", xum="um", yum="um", is_footprint=False)
self.plot_xy(self.shadowoui_beam, 10, 4, 6, 1, "(X',Z')", "X'", "Z'", xum="urad", yum="urad", is_footprint=False)
self.plot_xy(self.shadowoui_beam, 10, 1, 4, 2, "(X,X')", "X", "X'", xum="um", yum="urad", is_footprint=False)
self.plot_xy(self.shadowoui_beam, 10, 3, 6, 3, "(Z,Z')", "Z", "Z'", xum="um", yum="urad", is_footprint=False)
self.plot_histo(self.shadowoui_beam,10,11,4,"Photon energy","Photon energy [eV]","Intensity [a.u.]",xum="eV")
def plot_widget_all(self,sourcewiggler=None,e=None,f=None,w=None):
print(">>>>>>>>>>> ",sourcewiggler)
import numpy
if self.plot_wiggler_graph == 0:
for wiggler_plot_slot_index in range(6):
current_item = self.wiggler_tab[wiggler_plot_slot_index].layout().itemAt(0)
self.wiggler_tab[wiggler_plot_slot_index].layout().removeItem(current_item)
plot_widget_id = oasysgui.QLabel() # TODO: is there a better way to clean this??????????????????????
self.wiggler_tab[wiggler_plot_slot_index].layout().addWidget(plot_widget_id)
else:
if sourcewiggler is None: return
self.plot_widget_item(sourcewiggler._result_trajectory[1, :],sourcewiggler._result_trajectory[7, :],0,
title="Magnetic Field",xtitle="y [m]",ytitle="B [T]")
self.plot_widget_item(sourcewiggler._result_trajectory[1, :],sourcewiggler._result_trajectory[6, :],1,
title="Electron curvature",xtitle="y [m]",ytitle="cirvature [m^-1]")
self.plot_widget_item(sourcewiggler._result_trajectory[1, :],sourcewiggler._result_trajectory[3, :],2,
title="Electron velocity",xtitle="y [m]",ytitle="BetaX")
self.plot_widget_item(sourcewiggler._result_trajectory[1, :],sourcewiggler._result_trajectory[0, :],3,
title="Electron trajectory",xtitle="y [m]",ytitle="x [m]")
self.plot_widget_item(e,f,4,
title="Wiggler spectrum (current = %5.1f)"%self.ring_current,
xtitle="Photon energy [eV]",ytitle=r"Photons/s/0.1%bw")
self.plot_widget_item(e,w,5,
title="Wiggler spectrum (current = %5.1f)"%self.ring_current,
xtitle="Photon energy [eV]",ytitle="Spectral power [W/eV]")
def plot_widget_item(self,x,y,wiggler_plot_slot_index,title="",xtitle="",ytitle=""):
self.wiggler_tab[wiggler_plot_slot_index].layout().removeItem(self.wiggler_tab[wiggler_plot_slot_index].layout().itemAt(0))
plot_widget_id = plot_data1D(x.copy(),y.copy(),title=title,xtitle=xtitle,ytitle=ytitle,symbol='.')
self.wiggler_tab[wiggler_plot_slot_index].layout().addWidget(plot_widget_id)
if __name__ == "__main__":
from PyQt5.QtWidgets import QApplication
a = QApplication(sys.argv)
ow = OWWiggler()
ow.show()
a.exec_()
#ow.saveSettings() | PypiClean |
/ConSSL-0.0.1-py3-none-any.whl/CSSL/datamodules/vocdetection_datamodule.py | from typing import Any, Callable, Dict, List, Optional, Tuple, Union
import torch
from pytorch_lightning import LightningDataModule
from torch.utils.data import DataLoader
from CSSL.utils import _TORCHVISION_AVAILABLE
from CSSL.utils.warnings import warn_missing_pkg
if _TORCHVISION_AVAILABLE:
from torchvision import transforms as transform_lib
from torchvision.datasets import VOCDetection
else: # pragma: no cover
warn_missing_pkg('torchvision')
class Compose(object):
"""
Like `torchvision.transforms.compose` but works for (image, target)
"""
def __init__(self, transforms: List[Callable], image_transforms: Optional[Callable] = None) -> None:
self.transforms = transforms
self.image_transforms = image_transforms
def __call__(self, image: Any, target: Any) -> Tuple[torch.Tensor, torch.Tensor]:
for t in self.transforms:
image, target = t(image, target)
if self.image_transforms:
image = self.image_transforms(image)
return image, target
def _collate_fn(batch: List[torch.Tensor]) -> tuple:
return tuple(zip(*batch))
CLASSES = (
"__background__ ",
"aeroplane",
"bicycle",
"bird",
"boat",
"bottle",
"bus",
"car",
"cat",
"chair",
"cow",
"diningtable",
"dog",
"horse",
"motorbike",
"person",
"pottedplant",
"sheep",
"sofa",
"train",
"tvmonitor",
)
def _prepare_voc_instance(image: Any, target: Dict[str, Any]):
"""
Prepares VOC dataset into appropriate target for fasterrcnn
https://github.com/pytorch/vision/issues/1097#issuecomment-508917489
"""
anno = target["annotation"]
boxes = []
classes = []
area = []
iscrowd = []
objects = anno["object"]
if not isinstance(objects, list):
objects = [objects]
for obj in objects:
bbox = obj["bndbox"]
bbox = [int(bbox[n]) - 1 for n in ["xmin", "ymin", "xmax", "ymax"]]
boxes.append(bbox)
classes.append(CLASSES.index(obj["name"]))
iscrowd.append(int(obj["difficult"]))
area.append((bbox[2] - bbox[0]) * (bbox[3] - bbox[1]))
boxes = torch.as_tensor(boxes, dtype=torch.float32)
classes = torch.as_tensor(classes)
area = torch.as_tensor(area)
iscrowd = torch.as_tensor(iscrowd)
image_id = anno["filename"][5:-4]
image_id = torch.as_tensor([int(image_id)])
target = {}
target["boxes"] = boxes
target["labels"] = classes
target["image_id"] = image_id
# for conversion to coco api
target["area"] = area
target["iscrowd"] = iscrowd
return image, target
class VOCDetectionDataModule(LightningDataModule):
"""
TODO(teddykoker) docstring
"""
name = "vocdetection"
def __init__(
self,
data_dir: str,
year: str = "2012",
num_workers: int = 16,
normalize: bool = False,
shuffle: bool = False,
pin_memory: bool = False,
drop_last: bool = False,
*args: Any,
**kwargs: Any,
) -> None:
if not _TORCHVISION_AVAILABLE: # pragma: no cover
raise ModuleNotFoundError(
'You want to use VOC dataset loaded from `torchvision` which is not installed yet.'
)
super().__init__(*args, **kwargs)
self.year = year
self.data_dir = data_dir
self.num_workers = num_workers
self.normalize = normalize
self.shuffle = shuffle
self.pin_memory = pin_memory
self.drop_last = drop_last
@property
def num_classes(self) -> int:
"""
Return:
21
"""
return 21
def prepare_data(self) -> None:
"""
Saves VOCDetection files to data_dir
"""
VOCDetection(self.data_dir, year=self.year, image_set="train", download=True)
VOCDetection(self.data_dir, year=self.year, image_set="val", download=True)
def train_dataloader(
self, batch_size: int = 1, image_transforms: Union[List[Callable], Callable] = None
) -> DataLoader:
"""
VOCDetection train set uses the `train` subset
Args:
batch_size: size of batch
transforms: custom transforms
"""
transforms = [_prepare_voc_instance]
image_transforms = image_transforms or self.train_transforms or self._default_transforms()
transforms = Compose(transforms, image_transforms)
dataset = VOCDetection(self.data_dir, year=self.year, image_set="train", transforms=transforms)
loader = DataLoader(
dataset,
batch_size=batch_size,
shuffle=self.shuffle,
num_workers=self.num_workers,
drop_last=self.drop_last,
pin_memory=self.pin_memory,
collate_fn=_collate_fn,
)
return loader
def val_dataloader(self, batch_size: int = 1, image_transforms: Optional[List[Callable]] = None) -> DataLoader:
"""
VOCDetection val set uses the `val` subset
Args:
batch_size: size of batch
transforms: custom transforms
"""
transforms = [_prepare_voc_instance]
image_transforms = image_transforms or self.train_transforms or self._default_transforms()
transforms = Compose(transforms, image_transforms)
dataset = VOCDetection(self.data_dir, year=self.year, image_set="val", transforms=transforms)
loader = DataLoader(
dataset,
batch_size=batch_size,
shuffle=False,
num_workers=self.num_workers,
drop_last=self.drop_last,
pin_memory=self.pin_memory,
collate_fn=_collate_fn,
)
return loader
def _default_transforms(self) -> Callable:
if self.normalize:
voc_transforms = transform_lib.Compose([
transform_lib.ToTensor(),
transform_lib.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])
])
else:
voc_transforms = transform_lib.Compose([transform_lib.ToTensor()])
return voc_transforms | PypiClean |
/Eskapade_Spark-1.0.0-py3-none-any.whl/eskapadespark/links/sparkhister.py | import numpy as np
from eskapade import process_manager, StatusCode, DataStore, Link
class SparkHister(Link):
"""Defines the content of link SparkHister."""
# TODO: Fix class docstring.
def __init__(self, name='HiveHister'):
"""Initialize link instance.
Store the configuration of link SparkHister.
:param str name: name of link
:param str read_key: key of data to read from data store
:param str store_key: key of data to store in data store
:param list columns: columns of the Spark dataframe to make a histogram from
:param dict bins: the bin edges of the histogram
:param bool convert_for_mongo: if True the data structure of the result is converted so it can be stored in
mongo
"""
Link.__init__(self, name)
self.read_key = None
self.columns = None
self.store_key = None
self.bins = {}
self.convert_for_mongo = False
self.save_as_csv_style = False
self.save_as_json_style = True
def initialize(self):
"""Initialize the link."""
return StatusCode.Success
def execute(self):
"""Execute the link."""
ds = process_manager.service(DataStore)
spark_df = ds[self.read_key]
result = {}
for c in self.columns:
pos = spark_df.columns.index(c)
self.logger.debug("Processing column: {col}.", col=c)
result[c] = spark_df.map(lambda r: r[pos]).histogram(self.bins.get(c, 25))
# --- NOTE: this depends on how the data will be read by the BI tool
# - SQL/Tableau requires a row per histogram bin
# - QlikSense supports a more JSON-like style by putting an entire histogram in single row
if self.convert_for_mongo:
r = []
for c in self.columns:
hist = result[c]
if self.save_as_csv_style:
try:
binedges = np.asarray(hist[0])
bincenters = 0.5 * (binedges[1:] + binedges[:-1])
binvalues = hist[1]
except Exception:
self.logger.error("Could not extract values from histogram data.")
# --- row per bin
for i in range(len(binvalues)):
r.append({'column': c, 'bin': bincenters[i], 'value': binvalues[i]})
# --- alternatively row per histogram
if self.save_as_json_style:
r.append({'column': c, 'edges': hist[0], 'values': hist[1]})
result = r
ds[self.store_key] = result
return StatusCode.Success
def finalize(self):
"""Finalize the link."""
return StatusCode.Success | PypiClean |
/Canto-0.9.8.tar.gz/Canto-0.9.8/canto_next/config.py |
#Canto - RSS reader backend
# Copyright (C) 2016 Jack Miller <jack@codezen.org>
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License version 2 as
# published by the Free Software Foundation.
from .locks import feed_lock, config_lock, tag_lock, watch_lock
from .encoding import locale_enc
from .transform import eval_transform
from .feed import allfeeds, CantoFeed
from .tag import alltags
import traceback
import logging
import codecs
import json
import os
import re
log = logging.getLogger("CONFIG")
default_config =\
{
"defaults" :
{
"rate" : 10,
"keep_time" : 86400,
"keep_unread" : False,
"global_transform" : "filter_read"
},
"feeds" : [
{
"name" : "Canto",
"url" : "http://codezen.org/canto-ng/feed/"
},
{
"name" : "Slashdot",
"url" : "http://rss.slashdot.org/slashdot/Slashdot"
},
{
"name" : "Reddit",
"url": "http://reddit.com/.rss"
}
]
}
def parse_locks():
config_lock.acquire_write()
feed_lock.acquire_write()
tag_lock.acquire_write()
watch_lock.acquire_read()
def parse_unlocks():
config_lock.release_write()
feed_lock.release_write()
tag_lock.release_write()
watch_lock.release_read()
class CantoConfig():
def init(self, filename, shelf):
self.filename = filename
self.shelf = shelf
self.json = {}
self.defaults_validators = [
("rate", self.validate_int, False),
("keep_time", self.validate_int, False),
("keep_unread", self.validate_bool, False),
("global_transform", self.validate_set_transform, False),
]
self.defaults_defaults = {
"rate" : 10,
"keep_time" : 86400,
"keep_unread" : False,
"global_transform" : "None",
}
self.feed_validators = [
("name", self.validate_unique_feed_name, True),
("url", self.validate_unique_url, True),
("rate", self.validate_int, False),
("keep_time", self.validate_int, False),
("keep_unread", self.validate_bool, False),
("username", self.validate_string, False),
("password", self.validate_string, False),
]
self.feed_defaults = {}
self.tag_validators = [
("transform", self.validate_set_transform, False),
("extra_tags", self.validate_string_list, False),
]
self.tag_defaults = {}
def reset(self):
allfeeds.reset()
alltags.reset()
self.errors = {}
self.final = {}
# Accumulators for verifying uniqueness
self.urls = []
self.feed_names = []
def parse(self, fromfile=True, changes={}):
parse_locks()
# Since we host client config too, check if
# we should do a reparse.
we_care = False
for header in [ "feeds", "tags", "defaults" ]:
if header in changes:
if header == "tags":
for tag in changes["tags"]:
if list(changes["tags"][tag].keys()) != [ "collapsed" ]:
we_care = True
if we_care:
break
else:
we_care = True
break
if fromfile or we_care:
self.reset()
if fromfile:
self.read_config()
if self.validate():
self.instantiate()
if not fromfile:
self.write()
elif not fromfile:
self.write()
parse_unlocks()
def read_config(self):
if not os.path.exists(self.filename):
log.info("No config found, writing default.")
self.json = default_config.copy()
self.write()
c = codecs.open(self.filename, "rb", locale_enc)
self.json = json.load(c)
c.close()
log.info("Read %s" % self.filename)
log.debug("Parsed into: %s", self.json)
def error(self, ident, val, error):
if ident in self.errors:
self.errors[ident].append((val, error))
else:
self.errors[ident] = [(val, error)]
def _validate_unique(self, ident, value, accumulator, desc):
if not self.validate_string(ident, value):
return False
if value in accumulator:
self.error(ident, value, "%s already used!" % (desc,))
return False
accumulator.append(value)
return (True, value)
def validate_unique_url(self, ident, value):
return self._validate_unique(ident, value, self.urls, "URL")
def validate_unique_feed_name(self, ident, value):
return self._validate_unique(ident, value, self.feed_names, "Feed name")
def validate_bool(self, ident, value):
if type(value) != bool:
self.error(ident, value, "Not boolean!")
return False
return (True, value)
def validate_int(self, ident, value):
if type(value) != int:
self.error(ident, value, "Not integer!")
return False
return (True, value)
def validate_string(self, ident, value):
if type(value) != str:
self.error(ident, value, "Not unicode!")
return False
return (True, value)
def validate_string_list(self, ident, value):
if type(value) != list:
self.error(ident, value, "Not list!")
return False
for idx, item in enumerate(value):
item_ident = ident + ("[%d]" % idx)
if not self.validate_string(item_ident, item):
return False
return (True, value)
# Unfortunately, this must return the value, so that the JSON doesn't get
# tainted with non-serializable values.
def validate_set_transform(self, ident, value):
try:
r = eval_transform(value)
except Exception as e:
tb = traceback.format_exc()
msg = "\n" + "".join(tb)
self.error(ident, value, "Invalid transform" + msg)
return (True, "None")
return (True, value)
def validate_dict(self, ident_prefix, d, validators):
section_invalidated = False
for rgx, validator, required in validators:
r = re.compile(rgx)
found = False
for opt in list(d.keys()):
match = r.match(opt)
if not match:
continue
found = True
ident = ident_prefix + ("[%s]" % opt)
ret = validator(ident, d[opt])
if not ret:
if required:
self.error(ident, d[opt],\
"Set but invalid and required!")
section_invalidated = True
else:
self.error(ident, d[opt], "Set but invalid!")
del d[opt]
else:
# NOTE: we're ignoring the first tuple, it should
# always be True. If it wasn't for the fact that (val,)
# looks terrible that could also be returned from the
# validators.
d[opt] = ret[1]
if not found and required:
ident = ident_prefix + "[%s]" % rgx
self.error(ident, None,\
"No matching value found on required option!")
section_invalidated = True
if section_invalidated:
break
return not section_invalidated
# Validate validates only what exists in self.final, it does not make
# substitutions for defaults. That's done on instantiation.
def validate(self):
# Because we have to ensure that all items in the JSON are
# simple, we can do this cheap deepcopy intead of importing
# copy or doing it ourselves.
self.final = eval(repr(self.json), {}, {})
if "defaults" in self.final:
good = self.validate_dict("[defaults]", self.final["defaults"],
self.defaults_validators)
if not good:
del self.final["defaults"]
if "tags" in self.final and not self.errors:
for tag in list(self.final["tags"].keys()):
good = self.validate_dict("[tags][" + tag + "]", self.final["tags"][tag],
self.tag_validators)
if not good:
del self.final["tags"][tag]
if "feeds" in self.final and not self.errors:
for i, feed in enumerate(self.final["feeds"][:]):
good = self.validate_dict("[feeds][%s]" % i, feed,
self.feed_validators)
if not good:
self.final["feeds"].remove(feed)
if self.errors:
log.error("ERRORS:")
for key in list(self.errors.keys()):
log.error("%s:" % key)
for value, error in self.errors[key]:
log.error("\t%s -> %s" % (value, error))
return False
log.info("Validated: %s" % self.final)
return True
# Create Tag and Feed objects based on final validated config
def instantiate(self):
if "defaults" in self.final:
for k in self.defaults_defaults.keys():
if k not in self.final["defaults"]:
self.final["defaults"][k] = self.defaults_defaults[k]
else:
self.final["defaults"] = self.defaults_defaults.copy()
if "tags" in self.final:
for tag in self.final["tags"]:
defs = self.final["tags"][tag]
if "transform" not in defs:
defs["transform"] = "None"
defs["transform"] = eval_transform(defs["transform"])
if "extra_tags" not in defs:
defs["extra_tags"] = []
alltags.tag_transform(tag, defs["transform"])
alltags.set_extra_tags(tag, defs["extra_tags"])
# Feeds must be instantiated *after* tags, so tag settings like extra_tags
# can rely on getting an add_tag for each item after all tag settings have
# been handled.
if "feeds" in self.final:
for feed in self.final["feeds"]:
# Mandatory arguments to CantoFeed
for k in [ "rate", "keep_time", "keep_unread" ]:
if k not in feed:
feed[k] = self.final["defaults"][k]
# Optional arguments in kwargs
kws = {}
for k in ["password", "username"]:
if k in feed:
kws[k] = feed[k]
feed = CantoFeed(self.shelf, feed["name"],\
feed["url"], feed["rate"], feed["keep_time"], feed["keep_unread"], **kws)
# Set global transform.
self.global_transform = eval_transform(\
self.final["defaults"]["global_transform"])
# Delete settings from the JSON. Any key equal to "DELETE" will be removed,
# keys that are lists will items removed if specified.
def _delete(self, deletions, current):
for key in list(deletions.keys()):
# Nothing to do.
if key not in current:
continue
# Delete surface fields.
if deletions[key] == "DELETE":
del current[key]
# Delete potential fields in deeper dicts.
elif type(deletions[key]) == dict:
self._delete(deletions[key], current[key])
# If we've specified a list for and are operating on a list,
# then eliminate those.
elif type(deletions[key]) == list and\
type(current[key]) == list:
log.debug("Deleting items from list lists:")
log.debug("\\%s", deletions[key])
log.debug("\\%s", current[key])
for item in deletions[key]:
if item in current[key]:
current[key].remove(item)
def delete(self, deletions):
self._delete(deletions, self.json)
def _merge(self, change, current):
for key in list(change.keys()):
# Move over missing keys
if key not in current:
current[key] = change[key]
# Merge subsequent dicts, or overwrite if wrong types
# (in a well-behaved merge that shouldn't happen)
elif type(change[key]) == dict:
if type(current[key]) != dict:
log.warn("Type change! Old value of ['%s'] not dict." %
(key,))
current[key] = change[key]
else:
self._merge(change[key], current[key])
# Merge lists (append change items not present in current and
# potentially change their order based on the contents in change).
elif type(change[key]) == list:
if type(current[key]) != list:
log.warn("Type change! Old value of ['%s'] not list." %
(key, ))
current[key] = change[key]
else:
log.debug("Merging lists:")
log.debug("\\%s", change[key])
log.debug("\\%s", current[key])
# Any items not in change are prepended. This allows the
# simple n-item append to work as expected, it allows the
# sort case to work as expected, and gives consistent
# behavior in the case of items unaccounted for in change.
current[key] = [ i for i in current[key] if i not in change[key] ] +\
change[key]
# Move over present
else:
current[key] = change[key]
def merge(self, newconfigs):
self._merge(newconfigs, self.json)
def write(self):
try:
f = codecs.open(self.filename, "wb", locale_enc)
json.dump(self.json, f, ensure_ascii=False, sort_keys=True, indent=4)
finally:
f.close()
config = CantoConfig() | PypiClean |
/Chula-0.13.3.tar.gz/Chula-0.13.3/chula/pager.py | class Pager(list):
def __init__(self, offset, recordcount, limit=8, visiblepages=19):
"""
Create a new pager
@param offset: 0 based representation of what to offset/skip by
@type offset: Integer
@param recordcount: 1 based representation of records available
@type recordcount: Integer
@param limit: 1 based representation of records to show per page
@type limit: Integer
@param visiblepages: 1 based representation of pages to show at a time
@type visiblepages: Integer
@return: List of dictionaries
>>> from chula import pager
>>> p = pager.Pager(0, 50)
>>> p[0]['isselected']
True
>>> p[0]['offset']
0
>>> p = pager.Pager(30, 100, 5, 11)
>>> p[0]['isselected']
False
>>> p[0]['offset']
5
"""
super(Pager, self).__init__()
if (visiblepages % 2) == 0:
raise ValueError, 'visiblepages cannot be an even number'
if recordcount < 1:
return
if offset < 0:
raise ValueError, 'offset must be >= 0'
elif offset >= recordcount:
raise ValueError, 'offset must be < recordcount'
currentpage = offset // limit # 0 based
totalpages = ((recordcount - 1) // limit) + 1 # 1 based
firstvisible = 0 # 0 based
# If current page is more than half of total visiblepages, adjust
# first page to avoid sliding too far to the right
if currentpage > visiblepages // 2:
firstvisible = currentpage - visiblepages // 2
# Initially set last page to first + visible
lastvisible = firstvisible + visiblepages - 1
# If previous calculation made last page too high, calculate
# first page by subtracting from the last
if lastvisible > totalpages - 1:
lastvisible = totalpages - 1
firstvisible = totalpages - visiblepages
if totalpages <= visiblepages:
firstvisible = 0
lastvisible = totalpages - 1
self.currentpage = currentpage
for page in xrange(firstvisible, lastvisible + 1):
self.append({'offset':page * limit,
'isselected':(page == currentpage),
'number':page * limit / limit + 1})
def render(self):
return self | PypiClean |
/Nuitka_winsvc-1.7.10-cp310-cp310-win_amd64.whl/nuitka/Variables.py | from abc import abstractmethod
from nuitka.__past__ import getMetaClassBase, iterItems
from nuitka.nodes.shapes.BuiltinTypeShapes import tshape_dict
from nuitka.nodes.shapes.StandardShapes import tshape_unknown
from nuitka.utils import Utils
from nuitka.utils.InstanceCounters import (
counted_del,
counted_init,
isCountingInstances,
)
complete = False
class Variable(getMetaClassBase("Variable")):
# We will need all of these attributes, since we track the global
# state and cache some decisions as attributes. TODO: But in some
# cases, part of the these might be moved to the outside.
__slots__ = (
"variable_name",
"owner",
"version_number",
"shared_users",
"traces",
"users",
"writers",
)
@counted_init
def __init__(self, owner, variable_name):
assert type(variable_name) is str, variable_name
assert type(owner) not in (tuple, list), owner
self.variable_name = variable_name
self.owner = owner
self.version_number = 0
self.shared_users = False
self.traces = set()
# Derived from all traces.
self.users = None
self.writers = None
if isCountingInstances():
__del__ = counted_del()
def finalize(self):
del self.users
del self.writers
del self.traces
del self.owner
def __repr__(self):
return "<%s '%s' of '%s'>" % (
self.__class__.__name__,
self.variable_name,
self.owner.getName(),
)
@abstractmethod
def getVariableType(self):
pass
def getDescription(self):
return "variable '%s'" % self.variable_name
def getName(self):
return self.variable_name
def getOwner(self):
return self.owner
def getEntryPoint(self):
return self.owner.getEntryPoint()
def getCodeName(self):
var_name = self.variable_name
var_name = var_name.replace(".", "$")
var_name = Utils.encodeNonAscii(var_name)
return var_name
def allocateTargetNumber(self):
self.version_number += 1
return self.version_number
@staticmethod
def isLocalVariable():
return False
@staticmethod
def isParameterVariable():
return False
@staticmethod
def isModuleVariable():
return False
@staticmethod
def isIncompleteModuleVariable():
return False
@staticmethod
def isTempVariable():
return False
@staticmethod
def isTempVariableBool():
return False
@staticmethod
def isLocalsDictVariable():
return False
def addVariableUser(self, user):
# Update the shared scopes flag.
if user is not self.owner:
self.shared_users = True
# These are not really scopes, just shared uses.
if (
user.isExpressionGeneratorObjectBody()
or user.isExpressionCoroutineObjectBody()
or user.isExpressionAsyncgenObjectBody()
):
if self.owner is user.getParentVariableProvider():
return
_variables_in_shared_scopes.add(self)
def isSharedTechnically(self):
if not self.shared_users:
return False
if not self.users:
return False
owner = self.owner.getEntryPoint()
for user in self.users:
user = user.getEntryPoint()
while user is not owner and (
(user.isExpressionFunctionBody() and not user.needsCreation())
or user.isExpressionClassBodyBase()
):
user = user.getParentVariableProvider()
if user is not owner:
return True
return False
def addTrace(self, variable_trace):
self.traces.add(variable_trace)
def removeTrace(self, variable_trace):
self.traces.remove(variable_trace)
def getTraces(self):
"""For debugging only"""
return self.traces
def updateUsageState(self):
writers = set()
users = set()
for trace in self.traces:
owner = trace.owner
users.add(owner)
if trace.isAssignTrace():
writers.add(owner)
elif trace.isDeletedTrace() and owner is not self.owner:
writers.add(owner)
self.writers = writers
self.users = users
def hasAccessesOutsideOf(self, provider):
if not self.owner.locals_scope.complete:
return None
elif self.users is None:
return False
elif provider in self.users:
return len(self.users) > 1
else:
return bool(self.users)
def hasWritersOutsideOf(self, provider):
if not self.owner.locals_scope.complete:
return None
elif self.writers is None:
return False
elif provider in self.writers:
return len(self.writers) > 1
else:
return bool(self.writers)
def getMatchingAssignTrace(self, assign_node):
for trace in self.traces:
if trace.isAssignTrace() and trace.getAssignNode() is assign_node:
return trace
return None
def getMatchingUnescapedAssignTrace(self, assign_node):
found = None
for trace in self.traces:
if trace.isAssignTrace() and trace.getAssignNode() is assign_node:
found = trace
if trace.isEscapeTrace():
return None
return found
def getMatchingDelTrace(self, del_node):
for trace in self.traces:
if trace.isDeletedTrace() and trace.getDelNode() is del_node:
return trace
return None
def getTypeShapes(self):
result = set()
for trace in self.traces:
if trace.isAssignTrace():
result.add(trace.getAssignNode().getTypeShape())
elif trace.isUnknownTrace():
result.add(tshape_unknown)
elif trace.isEscapeTrace():
result.add(tshape_unknown)
elif trace.isInitTrace():
result.add(tshape_unknown)
elif trace.isUnassignedTrace():
pass
elif trace.isMergeTrace():
pass
# TODO: Remove this and be not unknown.
elif trace.isLoopTrace():
trace.getTypeShape().emitAlternatives(result.add)
else:
assert False, trace
return result
@staticmethod
def onControlFlowEscape(trace_collection):
"""Mark the variable as escaped or unknown, or keep it depending on variable type."""
def removeKnowledge(self, trace_collection):
"""Remove knowledge for the variable marking as unknown or escaped."""
trace_collection.markActiveVariableAsEscaped(self)
def removeAllKnowledge(self, trace_collection):
"""Remove all knowledge for the variable marking as unknown, or keep it depending on variable type."""
trace_collection.markActiveVariableAsUnknown(self)
class LocalVariable(Variable):
__slots__ = ()
def __init__(self, owner, variable_name):
Variable.__init__(self, owner=owner, variable_name=variable_name)
@staticmethod
def isLocalVariable():
return True
def initVariable(self, trace_collection):
"""Initialize variable in trace collection state."""
return trace_collection.initVariableUninitialized(self)
if str is not bytes:
def onControlFlowEscape(self, trace_collection):
if self.hasWritersOutsideOf(trace_collection.owner) is not False:
trace_collection.markClosureVariableAsUnknown(self)
elif self.hasAccessesOutsideOf(trace_collection.owner) is not False:
trace_collection.markActiveVariableAsEscaped(self)
else:
def onControlFlowEscape(self, trace_collection):
if self.hasAccessesOutsideOf(trace_collection.owner) is not False:
trace_collection.markActiveVariableAsEscaped(self)
@staticmethod
def getVariableType():
return "object"
class ParameterVariable(LocalVariable):
__slots__ = ()
def __init__(self, owner, parameter_name):
LocalVariable.__init__(self, owner=owner, variable_name=parameter_name)
def getDescription(self):
return "parameter variable '%s'" % self.variable_name
@staticmethod
def isParameterVariable():
return True
def initVariable(self, trace_collection):
"""Initialize variable in trace collection state."""
return trace_collection.initVariableInit(self)
class ModuleVariable(Variable):
__slots__ = ()
def __init__(self, module, variable_name):
assert type(variable_name) is str, repr(variable_name)
assert module.isCompiledPythonModule()
Variable.__init__(self, owner=module, variable_name=variable_name)
def __repr__(self):
return "<ModuleVariable '%s' of '%s'>" % (
self.variable_name,
self.owner.getFullName(),
)
def getDescription(self):
return "global variable '%s'" % self.variable_name
@staticmethod
def isModuleVariable():
return True
def initVariable(self, trace_collection):
"""Initialize variable in trace collection state."""
return trace_collection.initVariableModule(self)
def onControlFlowEscape(self, trace_collection):
trace_collection.markActiveVariableAsUnknown(self)
def removeKnowledge(self, trace_collection):
"""Remove knowledge for the variable marking as unknown or escaped."""
trace_collection.markActiveVariableAsUnknown(self)
def isIncompleteModuleVariable(self):
return not self.owner.locals_scope.complete
def hasDefiniteWrites(self):
if not self.owner.locals_scope.complete:
return None
else:
return bool(self.writers)
def getModule(self):
return self.owner
@staticmethod
def getVariableType():
return "object"
class TempVariable(Variable):
__slots__ = ()
def __init__(self, owner, variable_name):
Variable.__init__(self, owner=owner, variable_name=variable_name)
def getDescription(self):
return "temp variable '%s'" % self.variable_name
@staticmethod
def isTempVariable():
return True
@staticmethod
def getVariableType():
return "object"
def initVariable(self, trace_collection):
"""Initialize variable in trace collection state."""
return trace_collection.initVariableUninitialized(self)
@staticmethod
def removeAllKnowledge(trace_collection):
"""Remove all knowledge for the variable marking as unknown, or keep it depending on variable type."""
# For temporary variables, the knowledge is not by name, so never gets
# lost to outside star imports or exec/eval uses.
class TempVariableBool(TempVariable):
__slots__ = ()
def getDescription(self):
return "temp bool variable '%s'" % self.variable_name
@staticmethod
def isTempVariableBool():
return True
@staticmethod
def getVariableType():
return "bool"
class LocalsDictVariable(Variable):
__slots__ = ()
def __init__(self, owner, variable_name):
Variable.__init__(self, owner=owner, variable_name=variable_name)
@staticmethod
def isLocalsDictVariable():
return True
@staticmethod
def getVariableType():
return "object"
def initVariable(self, trace_collection):
"""Initialize variable in trace collection state."""
if self.owner.getTypeShape() is tshape_dict:
return trace_collection.initVariableUninitialized(self)
else:
return trace_collection.initVariableUnknown(self)
def updateVariablesFromCollection(old_collection, new_collection, source_ref):
# After removing/adding traces, we need to pre-compute the users state
# information.
touched_variables = set()
loop_trace_removal = set()
if old_collection is not None:
for (variable, _version), variable_trace in iterItems(
old_collection.getVariableTracesAll()
):
variable.removeTrace(variable_trace)
touched_variables.add(variable)
if variable_trace.isLoopTrace():
loop_trace_removal.add(variable)
if new_collection is not None:
for (variable, _version), variable_trace in iterItems(
new_collection.getVariableTracesAll()
):
variable.addTrace(variable_trace)
touched_variables.add(variable)
if variable_trace.isLoopTrace():
if variable in loop_trace_removal:
loop_trace_removal.remove(variable)
# Release the memory, and prevent the "active" state from being ever
# inspected, it's useless now.
new_collection.variable_actives.clear()
del new_collection.variable_actives
for variable in touched_variables:
variable.updateUsageState()
if loop_trace_removal:
if new_collection is not None:
new_collection.signalChange(
"var_usage",
source_ref,
lambda: "Loop variable '%s' usage ceased."
% ",".join(variable.getName() for variable in loop_trace_removal),
)
# To detect the Python2 shared variable deletion, that would be a syntax
# error
_variables_in_shared_scopes = set()
def isSharedAmongScopes(variable):
return variable in _variables_in_shared_scopes
def releaseSharedScopeInformation(tree):
# Singleton, pylint: disable=global-statement
assert tree.isCompiledPythonModule()
global _variables_in_shared_scopes
_variables_in_shared_scopes = set(
variable
for variable in _variables_in_shared_scopes
if variable.getOwner().getParentModule() is not tree
) | PypiClean |
/AWAKE_ANALYSIS_TOOLS-0.0.2-py3-none-any.whl/analyses/frame_analysis.py | import numpy as np
import scipy.signal as sig
from scipy.optimize import curve_fit
from numpy.fft import fft
''' Class for analyzing images '''
class FrameAna(object):
def __init__(self,frame=[],x_ax=[],y_ax=[],roi=[]):
self.init_frame = frame
self.init_xax = x_ax
self.init_yax = y_ax
self.frame = frame
self.x_ax = x_ax
self.y_ax = y_ax
self.roi = roi
self.bg_frame = np.array([])
self.bg_sub = False
self.median_filter = False
self.fit_gauss = False
self.streak_width = 2.5
self.marker_lim = -3.5
self.nEmbed = 4096
self.frame_analyzed = False
''' Main image analysis method '''
def analyze_frame(self):
# Find pixel sum of image before applying manipulations
self.sum_all = self.frame.sum()
# Cast image as float and apply median filter
self.frame = self.frame.astype(float)
# Subtract background image
if self.bg_sub:
if self.bg_frame.any():
if np.size(self.bg_frame) != np.size(self.frame):
print('Warning: Background frame size does not match image frame size. Background not subtracted')
else:
self.frame = self.frame - self.bg_frame
# Apply median filter
if self.median_filter:
self.frame = sig.medfilt2d(self.frame)
# Extract ROI and relevant portions of axes
self.x_ind = (self.x_ax >= self.roi[0]) & (self.x_ax <= self.roi[1])
self.y_ind = (self.y_ax >= self.roi[2]) & (self.y_ax <= self.roi[3])
#self.y_ind = np.flipud(self.y_ind)
#print(self.y_ind.shape)
self.frame = np.flipud(self.frame)
self.frame = self.frame[np.ix_(self.y_ind,self.x_ind)]
#print
self.x_ax = self.x_ax[self.x_ind]
#self.y_ind = np.flipud(self.y_ind)
self.y_ax = self.y_ax[self.y_ind]
#print(self.y_ax[0])
#print(self.y_ax[-1])
# Get frame min and max
self.min = np.amin(self.frame)
self.max = np.amax(self.frame)
# Find pixel sum and projections of ROI'd image
self.sum_proc = self.frame.sum()
self.proj_x = self.frame.mean(0)
self.proj_y = self.frame.mean(1)
# Find centroid and RMS
self.xBar,self.xRMS = self.profile_moments('x')
self.yBar,self.yRMS = self.profile_moments('y')
self.xMax = np.max(self.proj_x)
self.xMin = np.min(self.proj_x)
self.yMax = np.max(self.proj_y)
self.yMin = np.min(self.proj_y)
# Perform Gaussian fits
if self.fit_gauss:
self.gaussFit('x')
self.gaussFit('y')
self.frame_analyzed = True
self.frame = np.flipud(self.frame)
''' Streak Analysis Method '''
def streak_ana(self):
if not self.frame_analyzed:
print('Must run analyze_frame first.')
return
# Extract axes centroid and image
self.t_ax = np.linspace(self.y_ax[0],self.y_ax[-1],len(self.y_ax))
#self.t_ax = self.y_ax
# Create lineout and bands for FFT
if self.fit_gauss:
xc = self.mean_x
xs = self.sig_x
else:
xc = self.xBar
xs = self.xRMS
# xl is lower band, xh, is the upper band, and xc is the center line
xl = xc - xs*self.streak_width
xh = xc + xs*self.streak_width
x_ind = (self.x_ax > xl) & (self.x_ax < xh)
c_ind = np.argmin(min(abs(self.x_ax-xc)))
# Orig profs
oBand = self.frame[:,x_ind].mean(1)
oLine = self.frame[:,c_ind]
oOutb = self.frame[:,~x_ind].mean(1)
# New interpolation
band = np.interp(self.t_ax,self.y_ax,oBand)
line = np.interp(self.t_ax,self.y_ax,oLine)
outb = np.interp(self.t_ax,self.y_ax,oOutb)
hann_band = np.hanning(len(band))*band
hann_line = np.hanning(len(line))*line
hann_outb = np.hanning(len(outb))*outb
# Create FFT axis
nsamp = len(self.t_ax)
s_max = round(nsamp/2)
dt = self.t_ax[1]-self.t_ax[0]
#dt = np.mean(np.diff(self.t_ax))
f_max = 1/dt
full_ax = np.linspace(0,f_max,nsamp)
f_ax = 1000*full_ax[0:s_max]
# Create FFT embed
arb = self.nEmbed
embed = np.zeros(arb)
embed[(round(arb/2)-round(nsamp/2)):(round(arb/2)+round(nsamp/2))] = hann_band
pad_ax = np.linspace(0,f_max,arb)
f_pad = 1000*pad_ax[0:round(arb/2)]
# FFT the data
fb = fft(band)
fl = fft(line)
fo = fft(outb)
hb = fft(hann_band)
hl = fft(hann_line)
ho = fft(hann_outb)
he = fft(embed)
# Get the absolute value of the FFT
fftb = abs(fb[0:s_max])
fftl = abs(fl[0:s_max])
ffto = abs(fo[0:s_max])
hftb = abs(hb[0:s_max])
hftl = abs(hl[0:s_max])
hfto = abs(ho[0:s_max])
hfte = abs(he[0:round(arb/2)])
# Store the results
self.inner_band = band
self.center_line = line
self.outer_band = outb
self.hann_band = hann_band
self.hann_line = hann_line
self.hann_outb = hann_outb
self.f_ax = f_ax
self.band_fft = fftb
self.line_fft = fftl
self.outer_fft = ffto
self.band_hft = hftb
self.line_hft = hftl
self.outer_hft = hfto
self.embed_hft = hfte
self.f_pad = f_pad
self.band_ref = [xl, xc, xh]
''' Streak Analysis Method '''
def marker_ana(self):
if not self.frame_analyzed:
print('Must run analyze_frame first.')
return
new_frame = np.array(self.init_frame.astype(float))
self.m_ind = (self.init_xax < self.marker_lim)
marker_area = new_frame[np.ix_(self.y_ind,self.m_ind)]
mark_area = sig.medfilt2d(marker_area)
self.m_ax = np.linspace(self.y_ax[0],self.y_ax[-1],len(self.y_ax))
self.proj_m = np.interp(self.m_ax,self.y_ax,mark_area.mean(1))
self.mark_ind = np.argmax(self.proj_m)
self.mark_val = self.y_ax[self.mark_ind]
self.gaussFit('m')
''' Generate COGs. Default Function '''
def profile_moments(self,axis):
if axis == 'x':
no_zero = self.proj_x - min(self.proj_x)
cent = no_zero.dot(self.x_ax)/no_zero.sum()
rms = np.sqrt(no_zero.dot((self.x_ax-cent)**2)/no_zero.sum())
elif axis == 'y':
no_zero = self.proj_y - min(self.proj_y)
cent = no_zero.dot(self.y_ax)/no_zero.sum()
rms = np.sqrt(no_zero.dot((self.y_ax-cent)**2)/no_zero.sum())
return cent, rms
''' Define Gaussian Shape '''
def gaussian(self, x, amp, cen, wid, off):
return amp * np.exp(-(x-cen)**2 /(2*wid**2)) + off
''' Fit Gaussian. Not called by default '''
def gaussFit(self,axis):
if axis == 'x':
guess = [self.xMax-self.xMin,self.xBar,self.xRMS,self.xMin]
#print(guess)
try:
result,pcov = curve_fit(self.gaussian,self.x_ax,self.proj_x,guess)
result[2] = abs(result[2])
fit = self.gaussian(self.x_ax, *result)
except:
print('Failed to fit in '+axis+'-direction')
result = [0,0,0,0]
fit = np.zeros(np.shape(self.x_ax))
self.amp_x = result[0]
self.mean_x = result[1]
self.sig_x = result[2]
self.off_x = result[3]
self.fit_x = fit
elif axis == 'y':
guess = [self.yMax-self.yMin,self.yBar,self.yRMS,self.yMin]
#print(guess)
try:
result,pcov = curve_fit(self.gaussian,self.y_ax,self.proj_y,guess)
result[2] = abs(result[2])
fit = self.gaussian(self.y_ax, *result)
except:
print('Failed to fit in '+axis+'-direction')
result = [0,0,0,0]
fit = np.zeros(np.shape(self.y_ax))
self.amp_y = result[0]
self.mean_y = result[1]
self.sig_y = result[2]
self.off_y = result[3]
self.fit_y = fit
elif axis == 'm':
guess = [np.max(self.proj_m)-np.min(self.proj_m),self.mark_val,10,np.min(self.proj_m)]
#print(guess)
try:
result,pcov = curve_fit(self.gaussian,self.y_ax,self.proj_m,guess)
result[2] = abs(result[2])
fit = self.gaussian(self.y_ax, *result)
except:
print('Failed to fit in '+axis+'-direction')
result = [0,0,0,0]
fit = np.zeros(np.shape(self.y_ax))
self.amp_m = result[0]
self.mean_m = result[1]
self.sig_m = result[2]
self.off_m = result[3]
self.fit_m = fit | PypiClean |
/Choco-1.0.5.tar.gz/Choco-1.0.5/choco/runtime.py | from choco import errors, util, compat
from choco.compat import compat_builtins
import sys
class Context(object):
"""Provides runtime namespace, output buffer, and various
callstacks for templates.
See :ref:`runtime_toplevel` for detail on the usage of
:class:`.Context`.
"""
def __init__(self, buffer, **data):
self._buffer_stack = [buffer]
self._data = data
self._kwargs = data.copy()
self._with_template = None
self._outputting_as_unicode = None
self.namespaces = {}
# "capture" function which proxies to the
# generic "capture" function
self._data['capture'] = compat.partial(capture, self)
# "caller" stack used by def calls with content
self.caller_stack = self._data['caller'] = CallerStack()
def _set_with_template(self, t):
self._with_template = t
illegal_names = t.reserved_names.intersection(self._data)
if illegal_names:
raise errors.NameConflictError(
"Reserved words passed to render(): %s" %
", ".join(illegal_names))
@property
def lookup(self):
"""Return the :class:`.TemplateLookup` associated
with this :class:`.Context`.
"""
return self._with_template.lookup
@property
def kwargs(self):
"""Return the dictionary of top level keyword arguments associated
with this :class:`.Context`.
This dictionary only includes the top-level arguments passed to
:meth:`.Template.render`. It does not include names produced within
the template execution such as local variable names or special names
such as ``self``, ``next``, etc.
The purpose of this dictionary is primarily for the case that
a :class:`.Template` accepts arguments via its ``<%page>`` tag,
which are normally expected to be passed via :meth:`.Template.render`,
except the template is being called in an inheritance context,
using the ``body()`` method. :attr:`.Context.kwargs` can then be
used to propagate these arguments to the inheriting template::
${next.body(**context.kwargs)}
"""
return self._kwargs.copy()
def push_caller(self, caller):
"""Push a ``caller`` callable onto the callstack for
this :class:`.Context`."""
self.caller_stack.append(caller)
def pop_caller(self):
"""Pop a ``caller`` callable onto the callstack for this
:class:`.Context`."""
del self.caller_stack[-1]
def keys(self):
"""Return a list of all names established in this :class:`.Context`."""
return list(self._data.keys())
def __getitem__(self, key):
if key in self._data:
return self._data[key]
else:
return compat_builtins.__dict__[key]
def _push_writer(self):
"""push a capturing buffer onto this Context and return
the new writer function."""
buf = util.FastEncodingBuffer()
self._buffer_stack.append(buf)
return buf.write
def _pop_buffer_and_writer(self):
"""pop the most recent capturing buffer from this Context
and return the current writer after the pop.
"""
buf = self._buffer_stack.pop()
return buf, self._buffer_stack[-1].write
def _push_buffer(self):
"""push a capturing buffer onto this Context."""
self._push_writer()
def _pop_buffer(self):
"""pop the most recent capturing buffer from this Context."""
return self._buffer_stack.pop()
def get(self, key, default=None):
"""Return a value from this :class:`.Context`."""
return self._data.get(key, compat_builtins.__dict__.get(key, default))
def write(self, string):
"""Write a string to this :class:`.Context` object's
underlying output buffer."""
self._buffer_stack[-1].write(string)
def writer(self):
"""Return the current writer function."""
return self._buffer_stack[-1].write
def _copy(self):
c = Context.__new__(Context)
c._buffer_stack = self._buffer_stack
c._data = self._data.copy()
c._kwargs = self._kwargs
c._with_template = self._with_template
c._outputting_as_unicode = self._outputting_as_unicode
c.namespaces = self.namespaces
c.caller_stack = self.caller_stack
return c
def _locals(self, d):
"""Create a new :class:`.Context` with a copy of this
:class:`.Context`'s current state,
updated with the given dictionary.
The :attr:`.Context.kwargs` collection remains
unaffected.
"""
if not d:
return self
c = self._copy()
c._data.update(d)
return c
def _clean_inheritance_tokens(self):
"""create a new copy of this :class:`.Context`. with
tokens related to inheritance state removed."""
c = self._copy()
x = c._data
x.pop('self', None)
x.pop('parent', None)
x.pop('next', None)
return c
class CallerStack(list):
def __init__(self):
self.nextcaller = None
def __nonzero__(self):
return self.__bool__()
def __bool__(self):
return len(self) and self._get_caller() and True or False
def _get_caller(self):
# this method can be removed once
# codegen MAGIC_NUMBER moves past 7
return self[-1]
def __getattr__(self, key):
return getattr(self._get_caller(), key)
def _push_frame(self):
frame = self.nextcaller or None
self.append(frame)
self.nextcaller = None
return frame
def _pop_frame(self):
self.nextcaller = self.pop()
class Undefined(object):
"""Represents an undefined value in a template.
All template modules have a constant value
``UNDEFINED`` present which is an instance of this
object.
"""
def __str__(self):
raise NameError("Undefined")
def __nonzero__(self):
return self.__bool__()
def __bool__(self):
return False
UNDEFINED = Undefined()
STOP_RENDERING = ""
class LoopStack(object):
"""a stack for LoopContexts that implements the context manager protocol
to automatically pop off the top of the stack on context exit
"""
def __init__(self):
self.stack = []
def _enter(self, iterable):
self._push(iterable)
return self._top
def _exit(self):
self._pop()
return self._top
@property
def _top(self):
if self.stack:
return self.stack[-1]
else:
return self
def _pop(self):
return self.stack.pop()
def _push(self, iterable):
new = LoopContext(iterable)
if self.stack:
new.parent = self.stack[-1]
return self.stack.append(new)
def __getattr__(self, key):
raise errors.RuntimeException("No loop context is established")
def __iter__(self):
return iter(self._top)
class LoopContext(object):
"""A magic loop variable.
Automatically accessible in any ``% for`` block.
See the section :ref:`loop_context` for usage
notes.
:attr:`parent` -> :class:`.LoopContext` or ``None``
The parent loop, if one exists.
:attr:`index` -> `int`
The 0-based iteration count.
:attr:`reverse_index` -> `int`
The number of iterations remaining.
:attr:`first` -> `bool`
``True`` on the first iteration, ``False`` otherwise.
:attr:`last` -> `bool`
``True`` on the last iteration, ``False`` otherwise.
:attr:`even` -> `bool`
``True`` when ``index`` is even.
:attr:`odd` -> `bool`
``True`` when ``index`` is odd.
"""
def __init__(self, iterable):
self._iterable = iterable
self.index = 0
self.parent = None
def __iter__(self):
for i in self._iterable:
yield i
self.index += 1
@util.memoized_instancemethod
def __len__(self):
return len(self._iterable)
@property
def reverse_index(self):
return len(self) - self.index - 1
@property
def first(self):
return self.index == 0
@property
def last(self):
return self.index == len(self) - 1
@property
def even(self):
return not self.odd
@property
def odd(self):
return bool(self.index % 2)
def cycle(self, *values):
"""Cycle through values as the loop progresses.
"""
if not values:
raise ValueError("You must provide values to cycle through")
return values[self.index % len(values)]
class _NSAttr(object):
def __init__(self, parent):
self.__parent = parent
def __getattr__(self, key):
ns = self.__parent
while ns:
if hasattr(ns.module, key):
return getattr(ns.module, key)
else:
ns = ns.inherits
raise AttributeError(key)
class Namespace(object):
"""Provides access to collections of rendering methods, which
can be local, from other templates, or from imported modules.
To access a particular rendering method referenced by a
:class:`.Namespace`, use plain attribute access:
.. sourcecode:: choco
${some_namespace.foo(x, y, z)}
:class:`.Namespace` also contains several built-in attributes
described here.
"""
def __init__(self, name, context,
callables=None, inherits=None,
populate_self=True, calling_uri=None):
self.name = name
self.context = context
self.inherits = inherits
if callables is not None:
self.callables = dict([(c.__name__, c) for c in callables])
callables = ()
module = None
"""The Python module referenced by this :class:`.Namespace`.
If the namespace references a :class:`.Template`, then
this module is the equivalent of ``template.module``,
i.e. the generated module for the template.
"""
template = None
"""The :class:`.Template` object referenced by this
:class:`.Namespace`, if any.
"""
context = None
"""The :class:`.Context` object for this :class:`.Namespace`.
Namespaces are often created with copies of contexts that
contain slightly different data, particularly in inheritance
scenarios. Using the :class:`.Context` off of a :class:`.Namespace` one
can traverse an entire chain of templates that inherit from
one-another.
"""
filename = None
"""The path of the filesystem file used for this
:class:`.Namespace`'s module or template.
If this is a pure module-based
:class:`.Namespace`, this evaluates to ``module.__file__``. If a
template-based namespace, it evaluates to the original
template file location.
"""
uri = None
"""The URI for this :class:`.Namespace`'s template.
I.e. whatever was sent to :meth:`.TemplateLookup.get_template()`.
This is the equivalent of :attr:`.Template.uri`.
"""
_templateuri = None
@util.memoized_property
def attr(self):
"""Access module level attributes by name.
This accessor allows templates to supply "scalar"
attributes which are particularly handy in inheritance
relationships.
.. seealso::
:ref:`inheritance_attr`
:ref:`namespace_attr_for_includes`
"""
return _NSAttr(self)
def get_namespace(self, uri):
"""Return a :class:`.Namespace` corresponding to the given ``uri``.
If the given ``uri`` is a relative URI (i.e. it does not
contain a leading slash ``/``), the ``uri`` is adjusted to
be relative to the ``uri`` of the namespace itself. This
method is therefore mostly useful off of the built-in
``local`` namespace, described in :ref:`namespace_local`.
In
most cases, a template wouldn't need this function, and
should instead use the ``<%namespace>`` tag to load
namespaces. However, since all ``<%namespace>`` tags are
evaluated before the body of a template ever runs,
this method can be used to locate namespaces using
expressions that were generated within the body code of
the template, or to conditionally use a particular
namespace.
"""
key = (self, uri)
if key in self.context.namespaces:
return self.context.namespaces[key]
else:
ns = TemplateNamespace(uri, self.context._copy(),
templateuri=uri,
calling_uri=self._templateuri)
self.context.namespaces[key] = ns
return ns
def get_template(self, uri):
"""Return a :class:`.Template` from the given ``uri``.
The ``uri`` resolution is relative to the ``uri`` of this
:class:`.Namespace` object's :class:`.Template`.
"""
return _lookup_template(self.context, uri, self._templateuri)
def get_cached(self, key, **kwargs):
"""Return a value from the :class:`.Cache` referenced by this
:class:`.Namespace` object's :class:`.Template`.
The advantage to this method versus direct access to the
:class:`.Cache` is that the configuration parameters
declared in ``<%page>`` take effect here, thereby calling
up the same configured backend as that configured
by ``<%page>``.
"""
return self.cache.get(key, **kwargs)
@property
def cache(self):
"""Return the :class:`.Cache` object referenced
by this :class:`.Namespace` object's
:class:`.Template`.
"""
return self.template.cache
def include_file(self, uri, **kwargs):
"""Include a file at the given ``uri``."""
_include_file(self.context, uri, self._templateuri, **kwargs)
def _populate(self, d, l):
for ident in l:
if ident == '*':
for (k, v) in self._get_star():
d[k] = v
else:
d[ident] = getattr(self, ident)
def _get_star(self):
if self.callables:
for key in self.callables:
yield (key, self.callables[key])
def __getattr__(self, key):
if key in self.callables:
val = self.callables[key]
elif self.inherits:
val = getattr(self.inherits, key)
else:
raise AttributeError(
"Namespace '%s' has no member '%s'" %
(self.name, key))
setattr(self, key, val)
return val
class TemplateNamespace(Namespace):
"""A :class:`.Namespace` specific to a :class:`.Template` instance."""
def __init__(self, name, context, template=None, templateuri=None,
callables=None, inherits=None,
populate_self=True, calling_uri=None):
self.name = name
self.context = context
self.inherits = inherits
if callables is not None:
self.callables = dict([(c.__name__, c) for c in callables])
if templateuri is not None:
self.template = _lookup_template(context, templateuri,
calling_uri)
self._templateuri = self.template.module._template_uri
elif template is not None:
self.template = template
self._templateuri = template.module._template_uri
else:
raise TypeError("'template' argument is required.")
if populate_self:
lclcallable, lclcontext = \
_populate_self_namespace(context, self.template,
self_ns=self)
@property
def module(self):
"""The Python module referenced by this :class:`.Namespace`.
If the namespace references a :class:`.Template`, then
this module is the equivalent of ``template.module``,
i.e. the generated module for the template.
"""
return self.template.module
@property
def filename(self):
"""The path of the filesystem file used for this
:class:`.Namespace`'s module or template.
"""
return self.template.filename
@property
def uri(self):
"""The URI for this :class:`.Namespace`'s template.
I.e. whatever was sent to :meth:`.TemplateLookup.get_template()`.
This is the equivalent of :attr:`.Template.uri`.
"""
return self.template.uri
def _get_star(self):
if self.callables:
for key in self.callables:
yield (key, self.callables[key])
def get(key):
callable_ = self.template._get_def_callable(key)
return compat.partial(callable_, self.context)
for k in self.template.module._exports:
yield (k, get(k))
def __getattr__(self, key):
if key in self.callables:
val = self.callables[key]
elif self.template.has_def(key):
callable_ = self.template._get_def_callable(key)
val = compat.partial(callable_, self.context)
elif self.inherits:
val = getattr(self.inherits, key)
else:
raise AttributeError(
"Namespace '%s' has no member '%s'" %
(self.name, key))
setattr(self, key, val)
return val
class ModuleNamespace(Namespace):
"""A :class:`.Namespace` specific to a Python module instance."""
def __init__(self, name, context, module,
callables=None, inherits=None,
populate_self=True, calling_uri=None):
self.name = name
self.context = context
self.inherits = inherits
if callables is not None:
self.callables = dict([(c.__name__, c) for c in callables])
mod = __import__(module)
for token in module.split('.')[1:]:
mod = getattr(mod, token)
self.module = mod
@property
def filename(self):
"""The path of the filesystem file used for this
:class:`.Namespace`'s module or template.
"""
return self.module.__file__
def _get_star(self):
if self.callables:
for key in self.callables:
yield (key, self.callables[key])
for key in dir(self.module):
if key[0] != '_':
callable_ = getattr(self.module, key)
if compat.callable(callable_):
yield key, compat.partial(callable_, self.context)
def __getattr__(self, key):
if key in self.callables:
val = self.callables[key]
elif hasattr(self.module, key):
callable_ = getattr(self.module, key)
val = compat.partial(callable_, self.context)
elif self.inherits:
val = getattr(self.inherits, key)
else:
raise AttributeError(
"Namespace '%s' has no member '%s'" %
(self.name, key))
setattr(self, key, val)
return val
def supports_caller(func):
"""Apply a caller_stack compatibility decorator to a plain
Python function.
See the example in :ref:`namespaces_python_modules`.
"""
def wrap_stackframe(context, *args, **kwargs):
context.caller_stack._push_frame()
try:
return func(context, *args, **kwargs)
finally:
context.caller_stack._pop_frame()
return wrap_stackframe
def capture(context, callable_, *args, **kwargs):
"""Execute the given template def, capturing the output into
a buffer.
See the example in :ref:`namespaces_python_modules`.
"""
if not compat.callable(callable_):
raise errors.RuntimeException(
"capture() function expects a callable as "
"its argument (i.e. capture(func, *args, **kwargs))"
)
context._push_buffer()
try:
callable_(*args, **kwargs)
finally:
buf = context._pop_buffer()
return buf.getvalue()
def _decorate_toplevel(fn):
def decorate_render(render_fn):
def go(context, *args, **kw):
def y(*args, **kw):
return render_fn(context, *args, **kw)
try:
y.__name__ = render_fn.__name__[7:]
except TypeError:
# < Python 2.4
pass
return fn(y)(context, *args, **kw)
return go
return decorate_render
def _decorate_inline(context, fn):
def decorate_render(render_fn):
dec = fn(render_fn)
def go(*args, **kw):
return dec(context, *args, **kw)
return go
return decorate_render
def _include_file(context, uri, calling_uri, **kwargs):
"""locate the template from the given uri and include it in
the current output."""
template = _lookup_template(context, uri, calling_uri)
(callable_, ctx) = _populate_self_namespace(
context._clean_inheritance_tokens(),
template)
callable_(ctx, **_kwargs_for_include(callable_, context._data, **kwargs))
def _include_ui(context, ui, template_uri, *args, **kwargs):
uicls = _lookup_uicls(context, ui)
ui_module = uicls(context)
ui_module._execute(*args, **kwargs)
def _inherit_from(context, uri, calling_uri):
"""called by the _inherit method in template modules to set
up the inheritance chain at the start of a template's
execution."""
if uri is None:
return None
template = _lookup_template(context, uri, calling_uri)
self_ns = context['self']
ih = self_ns
while ih.inherits is not None:
ih = ih.inherits
lclcontext = context._locals({'next': ih})
ih.inherits = TemplateNamespace("self:%s" % template.uri,
lclcontext,
template=template,
populate_self=False)
context._data['parent'] = lclcontext._data['local'] = ih.inherits
callable_ = getattr(template.module, '_choco_inherit', None)
if callable_ is not None:
ret = callable_(template, lclcontext)
if ret:
return ret
gen_ns = getattr(template.module, '_choco_generate_namespaces', None)
if gen_ns is not None:
gen_ns(context)
return (template.callable_, lclcontext)
def _lookup_uicls(context, ui):
lookup = context._with_template.lookup
if lookup is None:
raise errors.TemplateLookupException(
"Template '%s' has no TemplateLookup associated" %
context._with_template.uri)
uicls = lookup.get_ui(ui)
return uicls
def _lookup_template(context, uri, relativeto):
lookup = context._with_template.lookup
if lookup is None:
raise errors.TemplateLookupException(
"Template '%s' has no TemplateLookup associated" %
context._with_template.uri)
uri = lookup.adjust_uri(uri, relativeto)
try:
return lookup.get_template(uri)
except errors.TopLevelLookupException:
raise errors.TemplateLookupException(str(compat.exception_as()))
def _populate_self_namespace(context, template, self_ns=None):
if self_ns is None:
self_ns = TemplateNamespace('self:%s' % template.uri,
context, template=template,
populate_self=False)
context._data['self'] = context._data['local'] = self_ns
if hasattr(template.module, '_choco_inherit'):
ret = template.module._choco_inherit(template, context)
if ret:
return ret
return (template.callable_, context)
def _render(template, callable_, args, data, as_unicode=False):
"""create a Context and return the string
output of the given template and template callable."""
if as_unicode:
buf = util.FastEncodingBuffer(as_unicode=True)
elif template.bytestring_passthrough:
buf = compat.StringIO()
else:
buf = util.FastEncodingBuffer(
as_unicode=as_unicode,
encoding=template.output_encoding,
errors=template.encoding_errors)
context = Context(buf, **data)
context._outputting_as_unicode = as_unicode
context._set_with_template(template)
_render_context(template, callable_, context, *args,
**_kwargs_for_callable(callable_, data))
return context._pop_buffer().getvalue()
def _render_ui(template, callable_, pctx, args, data):
context = Context(pctx._buffer_stack[-1], **data)
context._outputting_as_unicode = pctx._outputting_as_unicode
context._set_with_template(template)
_render_context(template, callable_, context)
def _kwargs_for_callable(callable_, data):
argspec = compat.inspect_func_args(callable_)
# for normal pages, **pageargs is usually present
if argspec[2]:
return data
# for rendering defs from the top level, figure out the args
namedargs = argspec[0] + [v for v in argspec[1:3] if v is not None]
kwargs = {}
for arg in namedargs:
if arg != 'context' and arg in data and arg not in kwargs:
kwargs[arg] = data[arg]
return kwargs
def _kwargs_for_include(callable_, data, **kwargs):
argspec = compat.inspect_func_args(callable_)
namedargs = argspec[0] + [v for v in argspec[1:3] if v is not None]
for arg in namedargs:
if arg != 'context' and arg in data and arg not in kwargs:
kwargs[arg] = data[arg]
return kwargs
def _render_context(tmpl, callable_, context, *args, **kwargs):
import choco.template as template
# create polymorphic 'self' namespace for this
# template with possibly updated context
if not isinstance(tmpl, template.DefTemplate):
# if main render method, call from the base of the inheritance stack
(inherit, lclcontext) = _populate_self_namespace(context, tmpl)
_exec_template(inherit, lclcontext, args=args, kwargs=kwargs)
else:
# otherwise, call the actual rendering method specified
(inherit, lclcontext) = _populate_self_namespace(context, tmpl.parent)
_exec_template(callable_, context, args=args, kwargs=kwargs)
def _exec_template(callable_, context, args=None, kwargs=None):
"""execute a rendering callable given the callable, a
Context, and optional explicit arguments
the contextual Template will be located if it exists, and
the error handling options specified on that Template will
be interpreted here.
"""
template = context._with_template
if template is not None and \
(template.format_errors or template.error_handler):
try:
callable_(context, *args, **kwargs)
except Exception:
_render_error(template, context, compat.exception_as())
except:
e = sys.exc_info()[0]
_render_error(template, context, e)
else:
callable_(context, *args, **kwargs)
def _render_error(template, context, error):
if template.error_handler:
result = template.error_handler(context, error)
if not result:
compat.reraise(*sys.exc_info())
else:
error_template = errors.html_error_template()
if context._outputting_as_unicode:
context._buffer_stack[:] = [
util.FastEncodingBuffer(as_unicode=True)]
else:
context._buffer_stack[:] = [util.FastEncodingBuffer(
error_template.output_encoding,
error_template.encoding_errors)]
context._set_with_template(error_template)
error_template.render_context(context, error=error) | PypiClean |
/MetaCalls-0.0.5-cp310-cp310-manylinux2014_x86_64.whl/metacalls/node_modules/wide-align/README.md | wide-align
----------
A wide-character aware text alignment function for use in terminals / on the
console.
### Usage
```
var align = require('wide-align')
// Note that if you view this on a unicode console, all of the slashes are
// aligned. This is because on a console, all narrow characters are
// an en wide and all wide characters are an em. In browsers, this isn't
// held to and wide characters like "古" can be less than two narrow
// characters even with a fixed width font.
console.log(align.center('abc', 10)) // ' abc '
console.log(align.center('古古古', 10)) // ' 古古古 '
console.log(align.left('abc', 10)) // 'abc '
console.log(align.left('古古古', 10)) // '古古古 '
console.log(align.right('abc', 10)) // ' abc'
console.log(align.right('古古古', 10)) // ' 古古古'
```
### Functions
#### `align.center(str, length)` → `str`
Returns *str* with spaces added to both sides such that that it is *length*
chars long and centered in the spaces.
#### `align.left(str, length)` → `str`
Returns *str* with spaces to the right such that it is *length* chars long.
### `align.right(str, length)` → `str`
Returns *str* with spaces to the left such that it is *length* chars long.
### Origins
These functions were originally taken from
[cliui](https://npmjs.com/package/cliui). Changes include switching to the
MUCH faster pad generation function from
[lodash](https://npmjs.com/package/lodash), making center alignment pad
both sides and adding left alignment.
| PypiClean |
/EnergyCapSdk-8.2304.4743.tar.gz/EnergyCapSdk-8.2304.4743/energycap/sdk/models/place_group_digest_area_ranking_child.py |
from msrest.serialization import Model
class PlaceGroupDigestAreaRankingChild(Model):
"""PlaceGroupDigestAreaRankingChild.
:param cost: The cost for this place
:type cost: float
:param use: The use for this place
:type use: float
:param value: The benchmark value for this place
:type value: float
:param area: The area for this place
:type area: int
:param savings_opportunity: The savings opportunity for this place
:type savings_opportunity: float
:param incomplete_data: Does this place have incomplete data?
:type incomplete_data: bool
:param place_id:
:type place_id: int
:param place_code:
:type place_code: str
:param place_info:
:type place_info: str
:param place_display:
:type place_display: str
:param include_in_charts:
:type include_in_charts: bool
"""
_attribute_map = {
'cost': {'key': 'cost', 'type': 'float'},
'use': {'key': 'use', 'type': 'float'},
'value': {'key': 'value', 'type': 'float'},
'area': {'key': 'area', 'type': 'int'},
'savings_opportunity': {'key': 'savingsOpportunity', 'type': 'float'},
'incomplete_data': {'key': 'incompleteData', 'type': 'bool'},
'place_id': {'key': 'placeId', 'type': 'int'},
'place_code': {'key': 'placeCode', 'type': 'str'},
'place_info': {'key': 'placeInfo', 'type': 'str'},
'place_display': {'key': 'placeDisplay', 'type': 'str'},
'include_in_charts': {'key': 'includeInCharts', 'type': 'bool'},
}
def __init__(self, **kwargs):
super(PlaceGroupDigestAreaRankingChild, self).__init__(**kwargs)
self.cost = kwargs.get('cost', None)
self.use = kwargs.get('use', None)
self.value = kwargs.get('value', None)
self.area = kwargs.get('area', None)
self.savings_opportunity = kwargs.get('savings_opportunity', None)
self.incomplete_data = kwargs.get('incomplete_data', None)
self.place_id = kwargs.get('place_id', None)
self.place_code = kwargs.get('place_code', None)
self.place_info = kwargs.get('place_info', None)
self.place_display = kwargs.get('place_display', None)
self.include_in_charts = kwargs.get('include_in_charts', None) | PypiClean |
/DuHast-1.0.7-py3-none-any.whl/duHast/APISamples/RevitSharedParameterData.py |
from IFamilyData import IFamilyData
import IFamilyData as IFamData
import Utility as util
import RevitSharedParameters as rSharedPara
# import Autodesk
import Autodesk.Revit.DB as rdb
PARAMETER_GUID = 'parameterGUID'
PARAMETER_NAME = 'parameterName'
PARAMETER_ID = 'parameterId'
class SharedParameterData(IFamilyData):
def __init__(self, rootPath, rootCategoryPath, dataType):
self.data = []
if(dataType != None):
self.dataType = dataType
else:
self.dataType = 'not declared'
if(rootPath != None):
self.rootPath = rootPath
else:
self.rootPath = '-'
if(rootCategoryPath != None):
self.rootCategoryPath = rootCategoryPath
else:
self.rootCategoryPath = '-'
def process(self, doc):
collector = rSharedPara.GetAllSharedParameters(doc)
for para in collector:
# just in case parameter name is not unicode
parameterName = 'unknown'
try:
parameterName = util.EncodeAscii(rdb.Element.Name.GetValue(para))
except Exception as ex:
parameterName = 'Exception: ' + str(ex)
# check if used:
useCounter = 0
usedByData = {}
if(rSharedPara.IsSharedParameterDefinitionUsed(doc, para)):
useCounter = 1
# build used by data as required to be the same as post process update
usedByData = {
PARAMETER_GUID : para.GuidValue.ToString(),
PARAMETER_NAME : parameterName,
IFamData.ROOT : self.rootPath
}
# build data
self.data.append({
IFamData.ROOT : self.rootPath,
IFamData.ROOT_CATEGORY : self.rootCategoryPath,
IFamData.FAMILY_NAME : self._stripFileExtension(doc.Title),
IFamData.FAMILY_FILE_PATH : doc.PathName,
PARAMETER_GUID : para.GuidValue.ToString(),
PARAMETER_NAME : parameterName,
PARAMETER_ID : para.Id.IntegerValue,
IFamData.USAGE_COUNTER : useCounter,
IFamData.USED_BY : [usedByData]
}
)
# check if any shared parameter was found
if(len(self.data) == 0):
# add message no shared parameter found
self.data.append({
IFamData.ROOT : self.rootPath,
IFamData.ROOT_CATEGORY : self.rootCategoryPath,
IFamData.FAMILY_NAME : self._stripFileExtension(doc.Title),
IFamData.FAMILY_FILE_PATH : doc.PathName,
PARAMETER_GUID : '',
PARAMETER_NAME : 'No shared parameter present in family.',
PARAMETER_ID : -1,
IFamData.USAGE_COUNTER : 0,
IFamData.USED_BY : []
}
)
def get_Data(self):
return self.data | PypiClean |
/Cad_usd_forecast_model-0.0.1.tar.gz/Cad_usd_forecast_model-0.0.1/README.md | This package contains the pipeline of the ML model - forecast_model, the requirements, tests as well as other set up files.
You can install this package and use the forecast_model to predict the future price of CAD-USD exchange.
Find below the description of the different components & their respective uses:
A. forecast_model: This is the main module of this package. It contains a number of sub modules and files.
1. config: Contains 'core.py' which is used to set the configuration for all the variables & file paths needed to run the package. The variables are listed in the config.yml file
2. datasets: This contains the original dataset used to train the model
3. processing: This contains other modules such as:
- data_manager: contains functions which can be used to load a dataset from the datasets module, and save, load or remove a trained model.
- preprocessing: contains functions necessary to transform raw data into the format expected by the trained model. Hence, this module is the preprocessing pipeline for this model.
4. trained_models: This module contains the latest version of the trained forecast_model
5. connfig.yml: Contains names of all the variables & file paths used in the model
6. forecast.py: for forecasting CADUSD Price
7. train_pipeline.py: for training the forecast_model
8. VERSION: for setting the version of the model
B. Requirements: contains dependencies required to use or test the package
C. tests: contains scripts for testing the package
1. conftest.py - contains a fixture fxn which is used to provide forecast period to the other test.
2. test_prediction.py - used to test the predition fucntion of forecast_model
D. Manifest.in: contains instructions for what to include or exclude when building the package
E. pyproject.toml: this file contains basic dependencies for setting up the package and also the configuration options for pytest.
F. tox.ini: this file contains the settings for using tox for automated test but I didnt use tox to test this package.
Testing:
- Because my model using Prophet and prophet can not be installed without g++ compiler, I could not test this package with tox and so I used pytest on the cmd
How to use this package:
**To run the different files and test the modules, I created a conda environment for this project, installed all the dependencies in the requirements.txt except prophet. and then followed the steps in this link to install prophet. https://stackoverflow.com/questions/53178281/installing-fbprophet-python-on-windows-10
** If testing or using the package file on your computer, you have to add the directory to your PYTHONPATH, So that python can find it. Search for 'andrei' on https://stackoverflow.com/questions/3402168/permanently-add-a-directory-to-pythonpath . If you don't do this, python will not be able to find the package and so will not be able to run the import statements
| PypiClean |
/2vyper-0.3.0.tar.gz/2vyper-0.3.0/src/twovyper/ast/arithmetic.py | from twovyper.utils import Subscriptable
def sign(a: int) -> int:
if a > 0:
return 1
elif a < 0:
return -1
else:
return 0
def div(a: int, b: int) -> int:
"""
Truncating division of two integers.
"""
return sign(a) * sign(b) * (abs(a) // abs(b))
def mod(a: int, b: int) -> int:
"""
Truncating modulo of two integers.
"""
return sign(a) * (abs(a) % abs(b))
class Decimal(object, metaclass=Subscriptable):
def __init__(self):
assert False
_cache = {}
def _subscript(number_of_digits: int):
# This is the function that gets called when using dictionary lookup syntax.
# For example, Decimal[10] returns a class of decimals with 10 digits. The class
# is cached so that Decimal[10] always returns the same class, which means that
# type(Decimal[10](1)) == type(Decimal[10](2)).
cached_class = Decimal._cache.get(number_of_digits)
if cached_class:
return cached_class
class _Decimal(Decimal):
def __init__(self, value: int = None, scaled_value: int = None):
assert (value is None) != (scaled_value is None)
self.number_of_digits = number_of_digits
self.scaling_factor = 10 ** number_of_digits
self.scaled_value = scaled_value if value is None else value * self.scaling_factor
def __eq__(self, other):
if isinstance(other, _Decimal):
return self.scaled_value == other.scaled_value
else:
return False
def __hash__(self):
return hash(self.scaled_value)
def __str__(self):
dv = div(self.scaled_value, self.scaling_factor)
md = mod(self.scaled_value, self.scaling_factor)
return f'{dv}.{str(md).zfill(self.number_of_digits)}'
Decimal._cache[number_of_digits] = _Decimal
return _Decimal | PypiClean |
/MutagenTagWrapper-0.2.0.tar.gz/MutagenTagWrapper-0.2.0/src/tagwrapper/monkeysaudio.py | from __future__ import annotations
from copy import deepcopy as dp
from typing import Type
from mutagen import apev2, flac
from mutagen import monkeysaudio
from .common import TagWrapper
from .util import get_extension_from_data, mkpicture
__all__ = ['MonkeysAudio']
class MonkeysAudio(TagWrapper):
@property
def raw_tag_type(self) -> Type[monkeysaudio.MonkeysAudio]:
return monkeysaudio.MonkeysAudio
@property
def field_names(self) -> dict[str, str]:
return {
'contact': 'CONTACT',
'copyright': 'COPYRIGHT',
'encoder': 'ENCODER',
'ISRC': 'ISRC',
'label': 'LABEL',
'license': 'LICENSE',
'performer': 'PERFORMER',
'tracktotal': 'TRACKTOTAL',
'version': 'VERSION',
'description': 'DESCRIPTION',
'organization': 'PUBLISHER',
'title': 'TITLE',
'artist': 'ARTIST',
'album': 'ALBUM',
'date': 'YEAR',
'tracknumber': 'TRACK',
'genre': 'GENRE',
'comment': 'COMMENT',
'albumartist': 'ALBUMARTIST',
'composer': 'COMPOSER',
'discnumber': 'DISCNUMBER'
}
@property
def field_names_apevalues(self) -> dict[str, Type[apev2.APETextValue]]:
return {
'contact': apev2.APETextValue,
'copyright': apev2.APETextValue,
'encoder': apev2.APETextValue,
'ISRC': apev2.APETextValue,
'label': apev2.APETextValue,
'license': apev2.APETextValue,
'performer': apev2.APETextValue,
'tracktotal': apev2.APETextValue,
'version': apev2.APETextValue,
'description': apev2.APETextValue,
'organization': apev2.APETextValue,
'title': apev2.APETextValue,
'artist': apev2.APETextValue,
'album': apev2.APETextValue,
'date': apev2.APETextValue,
'tracknumber': apev2.APETextValue,
'genre': apev2.APETextValue,
'comment': apev2.APETextValue,
'albumartist': apev2.APETextValue,
'composer': apev2.APETextValue,
'discnumber': apev2.APETextValue
}
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
captialize = {}
for k, v in self._raw_tag.items():
captialize[k.upper()] = v
self._raw_tag.clear()
self._raw_tag.update(captialize)
def setter_hook(self, value: str | list[str], setter_name: str) -> apev2.APETextValue:
text = super().setter_hook(value, setter_name)
return self.field_names_apevalues[setter_name]('\x00'.join(text))
@property
def cover(self) -> flac.Picture | None:
ape_binary_value: apev2.APEBinaryValue = self.raw_tag.get('COVER ART (FRONT)')
if ape_binary_value is None:
return
pic_data = bytes(ape_binary_value)
splitted = pic_data.split(b'\x00', maxsplit=1)
if splitted[0].upper().startswith(b'COVER ART (FRONT)'):
if len(splitted) > 1:
pic_data = b'\x00'.join(splitted[1:])
elif len(splitted) == 0:
return
picture = flac.Picture()
picture.data = pic_data
picture.type = 3
return mkpicture(data=pic_data, type=3)
@cover.setter
def cover(self, obj: flac.Picture | bytes | dict[str, bytes | str | int]) -> None:
if isinstance(obj, flac.Picture):
picture = dp(obj)
elif isinstance(obj, bytes):
picture = mkpicture(data=obj)
elif isinstance(obj, dict):
picture = mkpicture(**obj)
else:
raise TypeError(f"'{type(obj).__name__}' object cannot be interpreted as cover")
pic_data = picture.data
target_data = b'\x00'.join(
[
b'COVER ART (FRONT)' + get_extension_from_data(pic_data).encode().upper(),
pic_data
]
)
self.raw_tag['COVER ART (FRONT)'] = apev2.APEBinaryValue(target_data)
@cover.deleter
def cover(self) -> None:
del self.raw_tag['COVER ART (FRONT)'] | PypiClean |
/NNGT-2.7.0-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl/nngt/analysis/clustering.py | import numpy as np
import nngt
from nngt.lib import nonstring_container
from nngt.lib.graph_helpers import _get_matrices
__all__ = [
"global_clustering",
"global_clustering_binary_undirected",
"local_closure",
"local_clustering",
"local_clustering_binary_undirected",
"triplet_count",
"triangle_count",
]
def global_clustering_binary_undirected(g):
'''
Returns the undirected global clustering coefficient.
This corresponds to the ratio of undirected triangles to the number of
undirected triads.
Parameters
----------
g : :class:`~nngt.Graph`
Graph to analyze.
'''
# Note, this function is overloaded by the library-specific version
# if igraph, graph-tool, or networkx is used
triangles = triangle_count(g, weights=None, directed=False)
triplets = triplet_count(g, weights=None, directed=False)
return np.sum(triangles) / np.sum(triplets)
def global_clustering(g, directed=True, weights=None, method="continuous",
mode="total", combine_weights="mean"):
'''
Returns the global clustering coefficient.
This corresponds to the ratio of triangles to the number of triplets.
For directed and weighted cases, see definitions of generalized triangles
and triplets in the associated functions below.
Parameters
----------
g : :class:`~nngt.Graph`
Graph to analyze.
directed : bool, optional (default: True)
Whether to compute the directed clustering if the graph is directed.
weights : bool or str, optional (default: binary edges)
Whether edge weights should be considered; if ``None`` or ``False``
then use binary edges; if ``True``, uses the 'weight' edge attribute,
otherwise uses any valid edge attribute required.
method : str, optional (default: 'continuous')
Method used to compute the weighted clustering, either 'barrat'
[Barrat2004]_, 'continuous' [Fardet2021]_, 'onnela' [Onnela2005]_, or
'zhang' [Zhang2005]_.
mode : str, optional (default: "total")
Type of clustering to use for directed graphs, among "total", "fan-in",
"fan-out", "middleman", and "cycle" [Fagiolo2007]_.
combine_weights : str, optional (default: 'mean')
How to combine the weights of reciprocal edges if the graph is directed
but `directed` is set to False. It can be:
* "sum": the sum of the edge attribute values will be used for the new
edge.
* "mean": the mean of the edge attribute values will be used for the
new edge.
* "min": the minimum of the edge attribute values will be used for the
new edge.
* "max": the maximum of the edge attribute values will be used for the
new edge.
Reference
---------
.. [gt-global-clustering] :gtdoc:`clustering.global_clustering`
.. [ig-global-clustering] :igdoc:`transitivity_undirected`
.. [nx-global-clustering] :nxdoc:`algorithms.cluster.transitivity`
.. [Barrat2004] Barrat, Barthelemy, Pastor-Satorras, Vespignani. The
Architecture of Complex Weighted Networks. PNAS 2004, 101 (11).
:doi:`10.1073/pnas.0400087101`.
.. [Onnela2005] Onnela, Saramäki, Kertész, Kaski. Intensity and Coherence
of Motifs in Weighted Complex Networks. Phys. Rev. E 2005, 71 (6),
065103. :doi:`10.1103/physreve.71.065103`, arxiv:`cond-mat/0408629`.
.. [Fagiolo2007] Fagiolo. Clustering in Complex Directed Networks.
Phys. Rev. E 2007, 76 (2), 026107. :doi:`10.1103/PhysRevE.76.026107`,
:arxiv:`physics/0612169`.
.. [Zhang2005] Zhang, Horvath. A General Framework for Weighted Gene
Co-Expression Network Analysis. Statistical Applications in Genetics
and Molecular Biology 2005, 4 (1). :doi:`10.2202/1544-6115.1128`,
`PDF <https://dibernardo.tigem.it/files/papers/2008/
zhangbin-statappsgeneticsmolbio.pdf>`_.
.. [Fardet2021] Fardet, Levina. Weighted directed clustering:
interpretations and requirements for heterogeneous, inferred, and
measured networks. 2021. :arxiv:`2105.06318`.
See also
--------
:func:`~nngt.analysis.triplet_count`
:func:`~nngt.analysis.triangle_count`
'''
assert method in ("barrat", "continuous", "onnela", "zhang"), \
"Unknown method '{}'".format(method)
# check directivity and weights
directed *= g.is_directed()
weighted = weights not in (False, None)
if not directed and not weighted:
return global_clustering_binary_undirected(g)
elif not weighted:
# directed clustering
triangles = triangle_count(g, mode=mode)
triplets = triplet_count(g, mode=mode)
return np.sum(triangles) / np.sum(triplets)
triangles, triplets = _triangles_and_triplets(g, directed, weights, method,
mode, combine_weights, None)
return np.sum(triangles) / np.sum(triplets)
def local_closure(g, directed=True, weights=None, method=None,
mode="cycle-out", combine_weights="mean"):
r'''
Compute the local closure for each node, as defined in [Yin2019]_ as the
fraction of 2-walks that are closed.
For undirected binary or weighted adjacency matrices
:math:`W = \{ w_{ij} \}`, the normal (or Zhang-like) definition is given
by:
.. math::
H_i^0 = \frac{\sum_{j\neq k} w_{ij} w_{jk} w_{ki}}
{\sum_{j\neq k\neq i} w_{ij}w_{jk}}
= \frac{W^3_{ii}}{\sum_{j \neq i} W^2_{ij}}
While a continuous version of the local closure is also proposed as:
.. math::
H_i = \frac{\sum_{j\neq k} \sqrt[3]{w_{ij} w_{jk} w_{ki}}^2}
{\sum_{j\neq k\neq i} \sqrt{w_{ij}w_{jk}}}
= \frac{\left( W^{\left[ \frac{2}{3} \right]} \right)_{ii}^3}
{\sum_{j \neq i} \left( W^{\left[ \frac{1}{2} \right]}
\right)^2_{ij}}
with :math:`W^{[\alpha]} = \{ w^\alpha_{ij} \}`.
Directed versions of the local closure where defined as follow for a node
:math:`i` connected to nodes :math:`j` and :math:`k`:
* "cycle-out" is given by the pattern [(i, j), (j, k), (k, i)],
* "cycle-in" is given by the pattern [(k, j), (j, i), (i, k)],
* "fan-in" is given by the pattern [(k, j), (j, i), (k, i)],
* "fan-out" is given by the pattern [(i, j), (j, k), (i, k)].
See [Fardet2021]_ for more details.
Parameters
----------
g : :class:`~nngt.Graph`
Graph to analyze.
directed : bool, optional (default: True)
Whether to compute the directed clustering if the graph is directed.
weights : bool or str, optional (default: binary edges)
Whether edge weights should be considered; if ``None`` or ``False``
then use binary edges; if ``True``, uses the 'weight' edge attribute,
otherwise uses any valid edge attribute required.
method : str, optional (default: 'continuous')
Method used to compute the weighted clustering, either 'normal'/'zhang'
or 'continuous'.
mode : str, optional (default: "circle-out")
Type of clustering to use for directed graphs, among "circle-out",
"circle-in", "fan-in", or "fan-out".
combine_weights : str, optional (default: 'mean')
How to combine the weights of reciprocal edges if the graph is directed
but `directed` is set to False. It can be:
* "sum": the sum of the edge attribute values will be used for the new
edge.
* "mean": the mean of the edge attribute values will be used for the
new edge.
* "min": the minimum of the edge attribute values will be used for the
new edge.
* "max": the maximum of the edge attribute values will be used for the
new edge.
References
----------
.. [Yin2019] Yin, Benson, and Leskovec. The Local Closure Coefficient: A
New Perspective On Network Clustering. Proceedings of the Twelfth ACM
International Conference on Web Search and Data Mining 2019, 303-311.
:doi:`10.1145/3289600.3290991`, `PDF <https://www.cs.cornell.edu/~arb/
papers/closure-coefficients-WSDM-2019.pdf>`_.
.. [Fardet2021] Fardet, Levina. Weighted directed clustering:
interpretations and requirements for heterogeneous, inferred, and
measured networks. 2021. :arxiv:`2105.06318`.
'''
directed *= g.is_directed()
weighted = weights not in (False, None)
mat, numer, denom = None, None, None
if not directed and g.is_directed():
_, mat = _get_matrices(g, directed, weights, weighted, combine_weights,
normed=True)
else:
mat = g.adjacency_matrix(weights=weights).astype(float)
mat /= mat.max()
mat.setdiag(0)
mat2, mat3 = None, None
if directed:
# set correct matrix
if mode.endswith("-in"):
mat = mat.T
if method == "continuous" and weights is not None:
sqmat = mat.sqrt()
cbmat = mat.power(2/3)
mat2 = sqmat@sqmat
if mode in ("cycle-in", "cycle-out"):
mat3 = cbmat@cbmat@cbmat
elif mode in ("fan-in", "fan-out"):
mat3 = cbmat@cbmat@cbmat.T
else:
raise ValueError("Unknown `mode`: '" + mode + "'.'")
elif method in ("normal", "zhang", None):
mat2 = mat@mat
if mode in ("cycle-in", "cycle-out"):
mat3 = mat2@mat
elif mode in ("fan-in", "fan-out"):
mat3 = mat2@mat.T
else:
raise ValueError("Unknown `mode`: '" + mode + "'.'")
else:
raise ValueError("Unknown `method`: '" + method + "'.'")
else:
# undirected
if method == "continuous" and weights is not None:
sqmat = mat.sqrt()
cbmat = mat.power(2/3)
mat2 = sqmat@sqmat
mat3 = cbmat@cbmat@cbmat
elif method in ("normal", "zhang", None):
mat2 = mat@mat
mat3 = mat2@mat
else:
raise ValueError("Unknown `method`: '" + method + "'.'")
numer = mat3.diagonal()
denom = _sum(mat2, axis=1) - mat2.diagonal()
denom[denom == 0] = 1
return numer / denom
def local_clustering_binary_undirected(g, nodes=None):
r'''
Returns the undirected local clustering coefficient of some `nodes`.
.. math::
C_i = \frac{A^3_{ii}}{d_i(d_i - 1)} = \frac{\Delta_i}{T_i}
with :math:`A` the adjacency matrix, :math:`d_i` the degree of node
:math:`i`, :math:`\Delta_i` is the number of triangles, and :math:`T_i` is
the number of triplets to which :math:`i` belongs.
If `g` is directed, then it is converted to a simple undirected graph
(no parallel edges), both directed and reciprocal edges are merged into
a single edge.
Parameters
----------
g : :class:`~nngt.Graph`
Graph to analyze.
nodes : list, optional (default: all nodes)
The list of nodes for which the clustering will be returned
Returns
-------
lc : :class:`numpy.ndarray`
The list of clustering coefficients, on per node.
References
----------
.. [gt-local-clustering] :gtdoc:`clustering.local_clustering`
.. [ig-local-clustering] :igdoc:`transitivity_local_undirected`
.. [nx-local-clustering] :nxdoc:`algorithms.cluster.clustering`
'''
# Note, this function is overloaded by the library-specific version
# if igraph, graph-tool, or networkx is used
triangles = triangle_count(g, weights=None, nodes=nodes, directed=False)
triplets = triplet_count(g, weights=None, nodes=nodes, directed=False)
if nonstring_container(triangles):
triplets[triangles == 0] = 1
elif triangles == 0:
return 0
return triangles / triplets
def local_clustering(g, nodes=None, directed=True, weights=None,
method="continuous", mode="total", combine_weights="mean"):
r'''
Local (weighted directed) clustering coefficient of the nodes, ignoring
self-loops.
If no weights are requested and the graph is undirected, returns the
undirected binary clustering.
For all weighted cases, the weights are assumed to be positive and they are
normalized to dimensionless values between 0 and 1 through a division by
the highest weight.
The default `method` for weighted networks is the continuous definition
[Fardet2021]_ and is defined as:
.. math::
C_i = \frac{\sum_{jk} \sqrt[3]{w_{ij} w_{ik} w_{jk}}}
{\sum_{j\neq k} \sqrt{w_{ij} w_{ik}}}
= \frac{\left(W^{\left[\frac{2}{3}\right]}\right)^3_{ii}}
{\left(s^{\left[\frac{1}{2}\right]}_i\right)^2 - s_i}
for undirected networks, with
:math:`W = \{ w_{ij}\} = \tilde{W} / \max(\tilde{W})` the normalized
weight matrix, :math:`s_i` the normalized strength of node :math:`i`, and
:math:`s^{[\frac{1}{2}]}_i = \sum_k \sqrt{w_{ik}}` the strength associated
to the matrix :math:`W^{[\frac{1}{2}]} = \{\sqrt{w_{ij}}\}`.
For directed networks, we used the total clustering defined in
[Fagiolo2007]_ by default, hence the second equation becomes:
.. math::
C_i = \frac{\frac{1}{2}\left(W^{\left[\frac{2}{3}\right]}
+ W^{\left[\frac{2}{3}\right],T}\right)^3_{ii}}
{\left(s^{\left[\frac{1}{2}\right]}_i\right)^2
- 2s^{\leftrightarrow}_i - s_i}
with :math:`s^{\leftrightarrow} = \sum_k \sqrt{w_{ik}w_{ki}}` the
reciprocal strength (associated to reciprocal connections).
For the other modes, see the generalized definitions in [Fagiolo2007]_.
Contrary to 'barrat' and 'onnela' [Saramaki2007]_, this method displays
*all* following properties:
* fully continuous (no jump in clustering when weights go to zero),
* equivalent to binary clustering when all weights are 1,
* equivalence between no-edge and zero-weight edge cases,
* normalized (always between zero and 1).
Using either 'continuous' or 'zhang' is usually recommended for weighted
graphs, see the discussion in [Fardet2021]_ for details.
Parameters
----------
g : :class:`~nngt.Graph` object
Graph to analyze.
nodes : array-like container with node ids, optional (default = all nodes)
Nodes for which the local clustering coefficient should be computed.
directed : bool, optional (default: True)
Whether to compute the directed clustering if the graph is directed.
weights : bool or str, optional (default: binary edges)
Whether edge weights should be considered; if ``None`` or ``False``
then use binary edges; if ``True``, uses the 'weight' edge attribute,
otherwise uses any valid edge attribute required.
method : str, optional (default: 'continuous')
Method used to compute the weighted clustering, either 'barrat'
[Barrat2004]_/[Clemente2018]_, 'continuous' [Fardet2021]_, 'onnela'
[Onnela2005]_/[Fagiolo2007]_, or 'zhang' [Zhang2005]_.
mode : str, optional (default: "total")
Type of clustering to use for directed graphs, among "total", "fan-in",
"fan-out", "middleman", and "cycle" [Fagiolo2007]_.
combine_weights : str, optional (default: 'mean')
How to combine the weights of reciprocal edges if the graph is directed
but `directed` is set to False. It can be:
* "min": the minimum of the edge attribute values will be used for the
new edge.
* "max": the maximum of the edge attribute values will be used for the
new edge.
* "mean": the mean of the edge attribute values will be used for the
new edge.
* "sum": equivalent to mean due to weight normalization.
Returns
-------
lc : :class:`numpy.ndarray`
The list of clustering coefficients, on per node.
References
----------
.. [Barrat2004] Barrat, Barthelemy, Pastor-Satorras, Vespignani. The
Architecture of Complex Weighted Networks. PNAS 2004, 101 (11).
:doi:`10.1073/pnas.0400087101`.
.. [Clemente2018] Clemente, Grassi. Directed Clustering in Weighted
Networks: A New Perspective. Chaos, Solitons & Fractals 2018, 107,
26–38. :doi:`10.1016/j.chaos.2017.12.007`, :arxiv:`1706.07322`.
.. [Fagiolo2007] Fagiolo. Clustering in Complex Directed Networks.
Phys. Rev. E 2007, 76, (2), 026107. :doi:`10.1103/PhysRevE.76.026107`,
:arxiv:`physics/0612169`.
.. [Onnela2005] Onnela, Saramäki, Kertész, Kaski. Intensity and Coherence
of Motifs in Weighted Complex Networks. Phys. Rev. E 2005, 71 (6),
065103. :doi:`10.1103/physreve.71.065103`, :arxiv:`cond-mat/0408629`.
.. [Saramaki2007] Saramäki, Kivelä, Onnela, Kaski, Kertész. Generalizations
of the Clustering Coefficient to Weighted Complex Networks.
Phys. Rev. E 2007, 75 (2), 027105. :doi:`10.1103/PhysRevE.75.027105`,
:arxiv:`cond-mat/0608670`.
.. [Zhang2005] Zhang, Horvath. A General Framework for Weighted Gene
Co-Expression Network Analysis. Statistical Applications in Genetics
and Molecular Biology 2005, 4 (1). :doi:`10.2202/1544-6115.1128`,
`PDF <https://dibernardo.tigem.it/files/papers/2008/
zhangbin-statappsgeneticsmolbio.pdf>`_.
.. [Fardet2021] Fardet, Levina. Weighted directed clustering:
interpretations and requirements for heterogeneous, inferred, and
measured networks. 2021. :arxiv:`2105.06318`.
See also
--------
:func:`undirected_binary_clustering`
:func:`global_clustering`
'''
# check directivity and weights
directed *= g.is_directed()
weighted = weights not in (None, False)
triplets, triangles = None, None
if not directed and not weighted:
# undirected binary clustering uses the library method
return local_clustering_binary_undirected(g, nodes=nodes)
elif not weighted:
# directed clustering
triangles = triangle_count(g, nodes=nodes, mode=mode)
triplets = triplet_count(g, nodes, mode=mode).astype(float)
else:
triangles, triplets = _triangles_and_triplets(
g, directed, weights, method, mode, combine_weights, nodes)
if nonstring_container(triplets):
triplets[triangles == 0] = 1
elif triangles == 0:
return 0
return triangles / triplets
def triangle_count(g, nodes=None, directed=True, weights=None,
method="normal", mode="total", combine_weights="mean"):
'''
Returns the number or the strength (also called intensity) of triangles
for each node.
Parameters
----------
g : :class:`~nngt.Graph` object
Graph to analyze.
nodes : array-like container with node ids, optional (default = all nodes)
Nodes for which the local clustering coefficient should be computed.
directed : bool, optional (default: True)
Whether to compute the directed clustering if the graph is directed.
weights : bool or str, optional (default: binary edges)
Whether edge weights should be considered; if ``None`` or ``False``
then use binary edges; if ``True``, uses the 'weight' edge attribute,
otherwise uses any valid edge attribute required.
method : str, optional (default: 'normal')
Method used to compute the weighted triangles, either 'normal', where
the weights are directly used, or the definitions associated to the
weighted clustering: 'barrat' [Barrat2004]_, 'continuous', 'onnela'
[Onnela2005]_, or 'zhang' [Zhang2005]_.
mode : str, optional (default: "total")
Type of clustering to use for directed graphs, among "total", "fan-in",
"fan-out", "middleman", and "cycle" [Fagiolo2007]_.
combine_weights : str, optional (default: 'mean')
How to combine the weights of reciprocal edges if the graph is directed
but `directed` is set to False. It can be:
* "sum": the sum of the edge attribute values will be used for the new
edge.
* "mean": the mean of the edge attribute values will be used for the
new edge.
* "min": the minimum of the edge attribute values will be used for the
new edge.
* "max": the maximum of the edge attribute values will be used for the
new edge.
Returns
-------
tr : array
Number or weight of triangles to which each node belongs.
References
----------
.. [Barrat2004] Barrat, Barthelemy, Pastor-Satorras, Vespignani. The
Architecture of Complex Weighted Networks. PNAS 2004, 101 (11).
:doi:`10.1073/pnas.0400087101`.
.. [Fagiolo2007] Fagiolo. Clustering in Complex Directed Networks.
Phys. Rev. E 2007, 76, (2), 026107. :doi:`10.1103/PhysRevE.76.026107`,
:arxiv:`physics/0612169`.
.. [Onnela2005] Onnela, Saramäki, Kertész, Kaski. Intensity and Coherence
of Motifs in Weighted Complex Networks. Phys. Rev. E 2005, 71 (6),
065103. :doi:`10.1103/physreve.71.065103`, :arxiv:`cond-mat/0408629`.
.. [Zhang2005] Zhang, Horvath. A General Framework for Weighted Gene
Co-Expression Network Analysis. Statistical Applications in Genetics
and Molecular Biology 2005, 4 (1). :doi:`10.2202/1544-6115.1128`,
`PDF <https://dibernardo.tigem.it/files/papers/2008/
zhangbin-statappsgeneticsmolbio.pdf>`_.
'''
directed *= g.is_directed()
weighted = weights not in (False, None)
exponent = None
if method == "onnela":
exponent = 1/3
elif method == "continuous":
exponent = 2/3
# get relevant matrices (use directed=False to get both dir/undir mat)
mat, matsym = _get_matrices(
g, directed, weights, weighted, combine_weights, exponent=exponent,
normed=True)
# if unweighted, adj is mat, adjsym is matsym
adj, adjsym = mat, matsym
# for barrat, we need both weighted and binary matrices
if method == "barrat" and weighted:
adj, adjsym = _get_matrices(g, directed, None, False, combine_weights)
return _triangle_count(mat, matsym, adj, adjsym, method, mode, weighted,
directed, nodes)
def triplet_count(g, nodes=None, directed=True, weights=None,
method="normal", mode="total", combine_weights="mean"):
r'''
Returns the number or the strength (also called intensity) of triplets for
each node.
For binary networks, the triplets of node :math:`i` are defined as:
.. math::
T_i = \sum_{j,k} a_{ij}a_{ik}
Parameters
----------
g : :class:`~nngt.Graph` object
Graph to analyze.
nodes : array-like container with node ids, optional (default = all nodes)
Nodes for which the local clustering coefficient should be computed.
directed : bool, optional (default: True)
Whether to compute the directed clustering if the graph is directed.
weights : bool or str, optional (default: binary edges)
Whether edge weights should be considered; if ``None`` or ``False``
then use binary edges; if ``True``, uses the 'weight' edge attribute,
otherwise uses any valid edge attribute required.
method : str, optional (default: 'continuous')
Method used to compute the weighted triplets, either 'normal', where
the edge weights are directly used, or the definitions used for
weighted clustering coefficients, 'barrat' [Barrat2004]_,
'continuous', 'onnela' [Onnela2005]_, or 'zhang' [Zhang2005]_.
mode : str, optional (default: "total")
Type of clustering to use for directed graphs, among "total", "fan-in",
"fan-out", "middleman", and "cycle" [Fagiolo2007]_.
combine_weights : str, optional (default: 'mean')
How to combine the weights of reciprocal edges if the graph is directed
but `directed` is set to False. It can be:
* "sum": the sum of the edge attribute values will be used for the new
edge.
* "mean": the mean of the edge attribute values will be used for the
new edge.
* "min": the minimum of the edge attribute values will be used for the
new edge.
* "max": the maximum of the edge attribute values will be used for the
new edge.
Returns
-------
tr : array
Number or weight of triplets to which each node belongs.
References
----------
.. [Barrat2004] Barrat, Barthelemy, Pastor-Satorras, Vespignani. The
Architecture of Complex Weighted Networks. PNAS 2004, 101 (11).
:doi:`10.1073/pnas.0400087101`.
.. [Fagiolo2007] Fagiolo. Clustering in Complex Directed Networks.
Phys. Rev. E 2007, 76, (2), 026107. :doi:`10.1103/PhysRevE.76.026107`,
:arxiv:`physics/0612169`.
.. [Zhang2005] Zhang, Horvath. A General Framework for Weighted Gene
Co-Expression Network Analysis. Statistical Applications in Genetics
and Molecular Biology 2005, 4 (1). :doi:`10.2202/1544-6115.1128`,
`PDF <https://dibernardo.tigem.it/files/papers/2008/
zhangbin-statappsgeneticsmolbio.pdf>`_.
'''
directed *= g.is_directed()
weighted = weights not in (False, None)
# simple binary cases
if not weighted or method == "onnela":
# undirected
if not directed:
deg = None
if g.is_directed():
_, adjsym = _get_matrices(g, directed, None, False,
combine_weights)
if nodes is None:
deg = _sum(adjsym, axis=0)
else:
deg = _sum(adjsym, axis=0)[nodes]
else:
deg = g.get_degrees(nodes=nodes)
if nodes is None or nonstring_container(nodes):
return (0.5*deg*(deg - 1)).astype(int)
return 0.5*deg*(deg - 1)
# directed
if mode in ("total", "cycle", "middleman"):
adj = g.adjacency_matrix()
d_recip = (adj@adj).diagonal()
if nodes is not None:
d_recip = d_recip[nodes]
din = g.get_degrees("in", nodes=nodes)
dout = g.get_degrees("out", nodes=nodes)
if mode == "total":
dtot = din + dout
return dtot*(dtot - 1) - 2*d_recip
return din*dout - d_recip
else:
assert mode in ("fan-in", "fan-out"), \
"Unknown mode '{}'".format(mode)
deg = g.get_degrees(mode[4:], nodes=nodes)
return deg*(deg - 1)
# check method for weighted
W, Wu, A, Au = None, None, None, None
if method in ("continuous", "normal", "zhang"):
# we need only the weighted matrices
W, Wu = _get_matrices(g, directed, weights, weighted,
combine_weights=combine_weights, normed=True)
elif method == "barrat":
# we need only the (potentially) directed matrices
W = g.adjacency_matrix(weights=weights)
A = g.adjacency_matrix()
else:
raise ValueError("`method` must be either 'barrat', 'onnela', "
"'zhang', or 'continuous'/'normal' (identical "
"options).")
return _triplet_count_weighted(
g, W, Wu, A, Au, method, mode, directed, weights, nodes)
# ---------------------------------------------------------- #
# Overwrite binary clusterings with library-specific version #
# ---------------------------------------------------------- #
if nngt._config["backend"] == "networkx":
from .nx_functions import (global_clustering_binary_undirected,
local_clustering_binary_undirected)
if nngt._config["backend"] == "igraph":
from .ig_functions import (global_clustering_binary_undirected,
local_clustering_binary_undirected)
if nngt._config["backend"] == "graph-tool":
from .gt_functions import (global_clustering_binary_undirected,
local_clustering_binary_undirected)
# -------------- #
# Tool functions #
# -------------- #
def _triangles_and_triplets(g, directed, weights, method, mode,
combine_weights, nodes):
''' Return the triangles and triplets '''
# weighted clustering
W, Wu, A, Au = None, None, None, None
triplets = None
# check the method to get the relevant matrices
if method == "continuous":
W, Wu = _get_matrices(g, directed, weights, True, combine_weights,
exponent=2/3, normed=True)
Wtr, Wtru = _get_matrices(g, directed, weights, True, combine_weights,
normed=True)
triplets = _triplet_count_weighted(
g, Wtr, Wtru, A, Au, method, mode, directed, weights, nodes)
if method == "zhang":
W, Wu = _get_matrices(g, directed, weights, True, combine_weights,
normed=True)
triplets = _triplet_count_weighted(
g, W, Wu, A, Au, method, mode, directed, weights, nodes)
elif method == "onnela":
W, Wu = _get_matrices(g, directed, weights, True, combine_weights,
exponent=1/3, normed=True)
# onnela uses the binary triplets
triplets = triplet_count(g, nodes=nodes, directed=directed,
mode=mode, weights=None)
elif method == "barrat":
# we need all matrices
W, Wu = _get_matrices(g, directed, weights, True, combine_weights,
normed=True)
A, Au = _get_matrices(g, directed, None, False, combine_weights)
triplets = _triplet_count_weighted(
g, W, Wu, A, Au, method, mode, directed, weights, nodes)
# get triangles and triplet strength
triangles = _triangle_count(W, Wu, A, Au, method, mode, weighted=True,
directed=directed, nodes=nodes)
return triangles, triplets
def _triangle_count(mat, matsym, adj, adjsym, method, mode, weighted, directed,
nodes):
'''
(Un)weighted (un)directed triangle count.
'''
tr = None
if method == "barrat":
if mode == "total":
tr = 0.5*(matsym@adjsym@adjsym).diagonal()
elif mode == "cycle":
tr = 0.5*(mat@adj@adj + mat.T@adj.T@adj.T).diagonal()
elif mode == "middleman":
tr = 0.5*(mat.T@adj@adj.T + mat@adj.T@adj).diagonal()
elif mode == "fan-in":
tr = 0.5*(mat.T@adjsym@adj).diagonal()
elif mode == "fan-out":
tr = 0.5*(mat@adjsym@adj.T).diagonal()
else:
raise ValueError("Unknown mode ''.".format(mode))
else:
if not weighted:
mat, matsym = adj, adjsym
elif method not in ("continuous", "zhang", "normal", "onnela"):
raise ValueError("Invalid `method`: '{}'".format(method))
if mode == "total":
tr = 0.5*(matsym@matsym@matsym).diagonal()
elif mode == "cycle":
tr = (mat@mat@mat).diagonal()
elif mode == "middleman":
tr = (mat@mat.T@mat).diagonal()
elif mode == "fan-in":
tr = (mat.T@mat@mat).diagonal()
elif mode == "fan-out":
tr = (mat@mat@mat.T).diagonal()
else:
raise ValueError("Unknown mode ''.".format(mode))
if isinstance(tr, np.matrix):
tr = tr.A1
if nodes is None:
return tr
return tr[nodes]
def _triplet_count_weighted(g, mat, matsym, adj, adjsym, method, mode,
directed, weights, nodes):
'''
triplet count, weighted only.
'''
tr = None
if method == "normal":
pass
elif method == "continuous":
if directed:
sqmat = mat.sqrt()
if mode == "total":
s2_sq_tot = np.square(
_sum(sqmat, axis=0) + _sum(sqmat, axis=1))
s_tot = _sum(mat, axis=0) + _sum(mat, axis=1)
s_recip = 2*(sqmat@sqmat).diagonal()
tr = s2_sq_tot - s_tot - s_recip
elif mode in ("cycle", "middleman"):
s_sq_out = _sum(sqmat, axis=0)
s_sq_in = _sum(sqmat, axis=1)
s_recip = (sqmat@sqmat).diagonal()
tr = s_sq_in*s_sq_out - s_recip
elif mode in ("fan-in", "fan-out"):
axis = 0 if mode == "fan-in" else 1
s2_sq = np.square(_sum(sqmat, axis=axis))
sgth = _sum(mat, axis=axis)
tr = s2_sq - sgth
else:
raise ValueError("Unknown mode ''.".format(mode))
else:
sqmat = matsym.sqrt()
s2_sq = np.square(_sum(sqmat, axis=0))
s = _sum(matsym, axis=0)
tr = 0.5*(s2_sq - s)
elif method == "zhang":
if directed:
mat2 = mat.power(2)
if mode == "total":
s2_sq_tot = np.square(_sum(mat, axis=0) + _sum(mat, axis=1))
s_tot = _sum(mat2, axis=0) + _sum(mat2, axis=1)
s_recip = 2*(mat@mat).diagonal()
tr = s2_sq_tot - s_tot - s_recip
elif mode in ("cycle", "middleman"):
s_sq_out = _sum(mat, axis=0)
s_sq_in = _sum(mat, axis=1)
s_recip = (mat@mat).diagonal()
tr = s_sq_in*s_sq_out - s_recip
elif mode in ("fan-in", "fan-out"):
axis = 0 if mode == "fan-in" else 1
s2_sq = np.square(_sum(mat, axis=axis))
sgth = _sum(mat2, axis=axis)
tr = s2_sq - sgth
else:
raise ValueError("Unknown mode ''.".format(mode))
else:
mat2 = matsym.power(2)
s2_sq = np.square(_sum(matsym, axis=0))
s = _sum(mat2, axis=0)
tr = 0.5*(s2_sq - s)
elif method == "barrat":
if directed:
# specifc definition of the reciprocal strength from Clemente
if mode == "total":
s_recip = 0.5*(mat@adj + adj@mat).diagonal()
dtot = g.get_degrees("total")
wmax = np.max(g.get_weights())
stot = g.get_degrees("total", weights=weights) / wmax
tr = stot*(dtot - 1) - 2*s_recip
elif mode in ("cycle", "middleman"):
s_recip = 0.5*(mat@adj + adj@mat).diagonal()
s_in = _sum(mat, axis=0)
s_out = _sum(mat, axis=1)
d_in = g.get_degrees("in")
d_out = g.get_degrees("out")
tr = 0.5*(s_in*d_out + s_out*d_in) - s_recip
elif mode in ("fan-in", "fan-out"):
axis = 0 if mode == "fan-in" else 1
sgth = _sum(mat, axis=axis)
deg = g.get_degrees(mode[4:])
tr = sgth*(deg - 1)
else:
raise ValueError("Unknown mode ''.".format(mode))
elif g.is_directed():
d = _sum(adjsym, axis=0)
s = _sum(matsym, axis=0)
tr = 0.5*s*(d - 1)
else:
d = g.get_degrees()
s = _sum(matsym, axis=0)
tr = 0.5*s*(d - 1)
else:
raise ValueError(
"Invalid `method` for triplet count: '{}'".format(method))
if nodes is None:
return tr
return tr[nodes]
def _sum(mat, axis):
''' Sum either sparse matrix or array '''
res = mat.sum(axis=axis)
if "matrix" in str(type(mat)):
return res.A1
return res | PypiClean |
/AutoDiffX-0.2.tar.gz/AutoDiffX-0.2/ad/ad.py | import numpy as np
__all__ = ['Expression', 'Variable', 'Constant']
class Expression(object):
'''Base expression class that represents anything in our computational
graph. Everything should be one of these.'''
def __init__(self, grad=False):
self.grad = grad
self.children = []
self.dep_vars = set()
def eval(self, feed_dict):
'''Evaluates the entire computation graph given a dictionary of
variables mapped to values.'''
return self._eval(feed_dict, dict())
def _eval(self, feed_dict, cache_dict):
'''Helper - Evaluates the computation graph recursively.'''
raise NotImplementedError
def d(self, feed_dict):
'''Evaluates the derivative at the points given, returns to user'''
res = self._d(feed_dict, dict(), dict())
if len(self.dep_vars) == 0:
# No dependent variables - it is a constant
return 0
if len(res) == 1:
# This is the non-vectorized case, scalar func of scalar
# Return a number, not a dictionary
return list(res.values())[0]
return res
def _d(self, feed_dict, e_cache_dict, d_cache_dict):
'''Helper - Evaluates the differentiation products recursively.
@param: feed_dict: dictionary mapping var names
@param: e_cache_dict: cache for previously evaluated values
@param: d_cache_dict: cache for previously calculated derivatives
'''
raise NotImplementedError('Jacobian not implemented for this expr')
def hessian(self, feed_dict):
'''Evaluates the hessian at the points given, returns to user as a
dictionary of dictionarys (to be indexed as [var1][var2] for the
derivative with respect to var1 then var2)'''
res = self._h(feed_dict, dict(), dict(), dict())
if len(self.dep_vars) == 0:
return 0
elif len(self.dep_vars) == 1:
# This is the 1D hessian case, so just a scalar
return list(list(res.values())[0].values())[0]
else:
return res
def _h(self, feed_dict, e_cache_dict, d_cache_dict, h_cache_dict):
'''Helper - Evaluates the differentiation products recursively.
@param: feed_dict: dictionary mapping var names
@param: e_cache_dict: cache for previously evaluated values
@param: d_cache_dict: cache for previously calculated derivatives
@param: h_cache_dict: cache for previously calculated double derivatives
'''
raise NotImplementedError('Hessian not implemented for this expr')
def d_expr(self, n=1):
"""Return n-th order derivative as an Expression.
Scalar input only.
"""
var = list(self.dep_vars)[0]
di = self
for i in range(n):
di = di._d_expr(var)
return di
def _d_expr(self, var):
"""Helper - Evaluates the partial derivative as an Expression."""
raise NotImplementedError
def d_n(self, n, val):
"""Return the value of n-th order derivative. Scalar input only.
Expressions that implements d_n method are: Variable, Constant,
Negation, Addition, Subtraction, Multiplication, Division,
Expression ** Constant, Sin, Cos, Exp, Log, and their combinations.
"""
var = list(self.dep_vars)[0]
return self._d_n(n, {var: val}, {}, {}) * np.math.factorial(n)
def _d_n(self, n, feed_dict, e_cache_dict, d_cache_dict):
""" Helper - Evaluates (the n-th order derivative) / (n!).
@param: n: the order of derivative
@param: feed_dict: dictionary mapping var names
@param: e_cache_dict: cache for previously evaluated values
@param: d_cache_dict: cache for previously calculated derivatives
@return: the value of the n-th order derivative
"""
raise NotImplementedError
def __add__(self, other):
try:
# Propagate the need for gradient if one thing needs gradient
# Need to call other.grad first since self.grad may shortcircuit
return Addition(self, other, grad=(other.grad and self.grad))
except AttributeError:
return Addition(self, Constant(other), grad=self.grad)
def __radd__(self, other):
return self.__add__(other)
def __sub__(self, other):
try:
return Subtraction(self, other, grad=(other.grad and self.grad))
except AttributeError:
return Subtraction(self, Constant(other), grad=self.grad)
def __rsub__(self, other):
try:
return Subtraction(other, self, grad=(other.grad and self.grad))
except AttributeError:
return Subtraction(Constant(other), self, grad=self.grad)
def __mul__(self, other):
try:
return Multiplication(self, other, grad=(other.grad and self.grad))
except AttributeError:
return Multiplication(self, Constant(other), grad=self.grad)
def __rmul__(self, other):
# TODO: Multiplication not commutative if we enable matrix support
return self.__mul__(other)
def __truediv__(self, other):
try:
return Division(self, other, grad=(other.grad and self.grad))
except AttributeError:
return Division(self, Constant(other), grad=self.grad)
def __rtruediv__(self, other):
try:
return Division(other, self, grad=(other.grad and self.grad))
except AttributeError:
return Division(Constant(other), self, grad=self.grad)
def __neg__(self):
return Negation(self, grad=self.grad)
def __pow__(self, other):
try:
return Power(self, other, grad=(other.grad and self.grad))
except AttributeError:
return Power(self, Constant(other), grad=(self.grad))
class Variable(Expression):
def __init__(self, name=None, grad=True):
self.grad = grad
self.name = None if not name else str(name)
# A variable only depends on itself
self.dep_vars = set([self])
def _eval(self, feed_dict, cache_dict):
# Check if the user specified either the object in feed_dict or
# the name of the object in feed_dict
if self in feed_dict:
return feed_dict[self]
elif self.name in feed_dict:
return feed_dict[self.name]
else:
raise ValueError('Unbound variable %s' % self.name)
def _d(self, feed_dict, e_cache_dict, d_cache_dict):
return {self: 1.0}
def _h(self, feed_dict, e_cache_dict, d_cache_dict, h_cache_dict):
return {self: {self: 0}}
def _d_expr(self, var):
if var == self:
return Constant(1.0)
else:
return Constant(0)
def _d_n(self, n, feed_dict, e_cache_dict, d_cache_dict):
if n == 0:
return self._eval(feed_dict, e_cache_dict)
elif n == 1:
return 1.0
else:
return 0.0
def __repr__(self):
if self.name:
return self.name
else:
return "Var"
class Constant(Expression):
'''Represents a constant.'''
def __init__(self, val, grad=False):
super().__init__(grad=grad)
self.val = val
self.dep_vars = set()
def _eval(self, feed_dict, cache_dict):
return self.val
def _d(self, feed_dict, e_cache_dict, d_cache_dict):
return {}
def _d_expr(self, var):
return Constant(0.0)
def _d_n(self, n, feed_dict, e_cache_dict, d_cache_dict):
if n == 0:
return self.val
else:
return 0.0
def _h(self, feed_dict, e_cache_dict, d_cache_dict, h_cache_dict):
return {}
class Unop(Expression):
"""Utilities common to all unary operations in the form Op(a)
Attributes
----------
expr1: Expression
Input of the unary function
children: list of Expression
The children of the unary function, i.e. expr1
"""
def __init__(self, expr1, grad=False):
"""
Parameters
----------
expr1 : Expression
Input of the unary function.
grad : bool, optional
If True, then allow the Expression to calculate the derivative.
"""
super().__init__(grad=grad)
self.expr1 = expr1
self.children = [self.expr1]
# Deep copy the set
self.dep_vars = set(expr1.dep_vars)
class Negation(Unop):
"""Negation, in the form - A"""
def _eval(self, feed_dict, cache_dict):
if id(self) not in cache_dict:
res1 = self.expr1._eval(feed_dict, cache_dict)
cache_dict[id(self)] = -res1
return cache_dict[id(self)]
def _d(self, feed_dict, e_cache_dict, d_cache_dict):
if id(self) not in d_cache_dict:
d1 = self.expr1._d(feed_dict, e_cache_dict, d_cache_dict)
ret = {}
for var in self.dep_vars:
ret[var] = -d1.get(var, 0)
d_cache_dict[id(self)] = ret
return d_cache_dict[id(self)]
def _h(self, feed_dict, e_cache, d_cache, h_cache):
if id(self) not in h_cache:
# Both dx^2 and dxdy are just the negations too
h1 = self.expr1._h(feed_dict, e_cache, d_cache, h_cache)
ret = {var:{} for var in self.dep_vars}
for var1 in self.dep_vars:
for var2 in self.dep_vars:
ret[var1][var2] = - h1.get(var1, {}).get(var2, 0)
h_cache[id(self)] = ret
return h_cache[id(self)]
def _d_expr(self, var):
return - self.expr1._d_expr(var)
def _d_n(self, n, feed_dict, e_cache_dict, d_cache_dict):
if (id(self), n) in d_cache_dict:
return d_cache_dict[(id(self), n)]
if n == 0:
res1 = self.expr1._eval(feed_dict, e_cache_dict)
else:
res1 = self.expr1._d_n(n, feed_dict, e_cache_dict, d_cache_dict)
d_cache_dict[(id(self), n)] = -res1
return d_cache_dict[(id(self), n)]
class Binop(Expression):
'''Utilities common to all binary operations in the form Op(a, b)'''
def __init__(self, expr1, expr2, grad=False):
super().__init__(grad=grad)
try:
expr1.grad
except AttributeError:
expr1 = Constant(expr1)
try:
expr2.grad
except AttributeError:
expr2 = Constant(expr1)
self.expr1 = expr1
self.expr2 = expr2
self.children = [self.expr1, self.expr2]
self.dep_vars = expr1.dep_vars | expr2.dep_vars
class Power(Binop):
"""Power function, the input is raised to the power of exponent.
Examples
--------
>>> import ad
>>> x = ad.Variable('x')
>>> y = x ** 2
>>> y.eval({x: 10.0})
100.0
>>> y.d({x: 10.0})
20.0
"""
def _eval(self, feed_dict, cache_dict):
if id(self) not in cache_dict:
res1 = self.expr1._eval(feed_dict, cache_dict)
res2 = self.expr2._eval(feed_dict, cache_dict)
# cast to float necessary, numpy complains about raising
# integers to negative integer powers otherwise.
cache_dict[id(self)] = np.power(float(res1), res2)
return cache_dict[id(self)]
def _d(self, feed_dict, e_cache_dict, d_cache_dict):
"""derivative is y x^(y-1) x_dot + x^y log(x) y_dot"""
if id(self) not in d_cache_dict:
res1 = self.expr1._eval(feed_dict, e_cache_dict)
res2 = self.expr2._eval(feed_dict, e_cache_dict)
d1 = self.expr1._d(feed_dict, e_cache_dict, d_cache_dict)
d2 = self.expr2._d(feed_dict, e_cache_dict, d_cache_dict)
ret = {}
# cast to float necessary, numpy complains about raising
# integers to negative integer powers otherwise.
for var in self.dep_vars:
# Short circuit to prevent taking log of zero
if d2.get(var, 0) == 0:
ret[var] = res2 * np.power(float(res1), res2 - 1) * d1.get(var, 0)
else:
ret[var] = res2 * np.power(float(res1), res2 - 1) * d1.get(var, 0) + \
np.power(float(res1), res2) * np.log(res1) * d2.get(var, 0)
d_cache_dict[id(self)] = ret
return d_cache_dict[id(self)]
def _d_expr(self, var):
if var not in self.dep_vars:
return Constant(0)
if isinstance(self.expr1, Constant):
return np.log(self.expr1.val) * (self.expr1 ** self.expr2)
elif isinstance(self.expr2, Constant):
return self.expr2.val * (self.expr1 ** (self.expr2.val - 1))
else:
msg = "Do not support f(x) ** g(x)"
raise NotImplementedError(msg)
def _d_n(self, n, feed_dict, e_cache_dict, d_cache_dict):
if not isinstance(self.expr2, Constant):
msg = "Do not support c ** g(x) or f(x) ** g(x)"
raise NotImplementedError(msg)
if (id(self), n) in d_cache_dict:
return d_cache_dict[(id(self), n)]
if n == 0:
res = self._eval(feed_dict, e_cache_dict)
d_cache_dict[(id(self), 0)] = res
return d_cache_dict[(id(self), 0)]
a = self.expr2.val
if (id(self.expr1), 0) not in d_cache_dict:
g_0 = self.expr1._d_n(0, feed_dict, e_cache_dict, d_cache_dict)
d_cache_dict[(id(self.expr1), 0)] = g_0
g_0 = d_cache_dict[(id(self.expr1), 0)]
if np.isclose(g_0, 0):
if a < 0:
msg = "The exponent should be greater than 0 when the base is 0"
raise ZeroDivisionError(msg)
elif np.isclose(a, int(a)) or a >= n:
d_cache_dict[(id(self), n)] = 0.0
return 0.0
else:
msg = "If base of power is 0 and exponent is not an " \
"integer, the exponent should be greater than n"
raise ZeroDivisionError(msg)
res = 0
for i in range(1, n+1):
if (id(self.expr1), i) not in d_cache_dict:
g_i = self.expr1._d_n(i, feed_dict, e_cache_dict, d_cache_dict)
d_cache_dict[(id(self.expr1), i)] = g_i
if (id(self), n-i) not in d_cache_dict:
ga_ni = self._d_n(n-i, feed_dict, e_cache_dict, d_cache_dict)
d_cache_dict[(id(self), n-i)] = ga_ni
g_i = d_cache_dict[(id(self.expr1), i)]
ga_ni = d_cache_dict[(id(self), n-i)]
res += (float(a + 1) * i / n - 1) * g_i * ga_ni
res /= g_0
d_cache_dict[(id(self), n)] = res
return d_cache_dict[(id(self), n)]
def _h(self, feed_dict, e_cache, d_cache, h_cache):
"""For expressions in the form x^y, I was only able to get a closed
form solution for if y is a constant. The general case is way to
complicated for me to solve on a piece of paper"""
if id(self) not in h_cache:
# Both dx^2 and dxdy are just the additions
h1 = self.expr1._h(feed_dict, e_cache, d_cache, h_cache)
h2 = self.expr2._h(feed_dict, e_cache, d_cache, h_cache)
if h2 != {}:
msg = 'Hessian only implemented for x^[constant]'
raise NotImplementedError(msg)
d1 = self.expr1._d(feed_dict, e_cache, d_cache)
v1 = self.expr1._eval(feed_dict, e_cache)
v2 = self.expr2._eval(feed_dict, e_cache)
ret = {var:{} for var in self.dep_vars}
for var1 in self.dep_vars:
for var2 in self.dep_vars:
dxy1 = h1.get(var1, {}).get(var2, 0)
dx1, dx2 = d1.get(var1, 0), d1.get(var2, 0)
term1 = (v2 - 1) * v2 * (v1 ** (v2 - 2)) * dx1 * dx2
term2 = v2 * (v1 ** (v2 - 1)) * dxy1
ret[var1][var2] = term1 + term2
h_cache[id(self)] = ret
return h_cache[id(self)]
class Addition(Binop):
'''Addition, in the form A + B'''
def _eval(self, feed_dict, cache_dict):
if id(self) not in cache_dict:
res1 = self.expr1._eval(feed_dict, cache_dict)
res2 = self.expr2._eval(feed_dict, cache_dict)
cache_dict[id(self)] = res1 + res2
return cache_dict[id(self)]
def _d(self, feed_dict, e_cache_dict, d_cache_dict):
if id(self) not in d_cache_dict:
d1 = self.expr1._d(feed_dict, e_cache_dict, d_cache_dict)
d2 = self.expr2._d(feed_dict, e_cache_dict, d_cache_dict)
ret = {}
for var in self.dep_vars:
ret[var] = d1.get(var, 0) + d2.get(var, 0)
d_cache_dict[id(self)] = ret
return d_cache_dict[id(self)]
def _d_expr(self, var):
if var not in self.dep_vars:
return Constant(0)
return self.expr1._d_expr(var) + self.expr2._d_expr(var)
def _d_n(self, n, feed_dict, e_cache_dict, d_cache_dict):
if (id(self), n) in d_cache_dict:
return d_cache_dict[(id(self), n)]
if n == 0:
res1 = self._eval(feed_dict, e_cache_dict)
else:
res1 = self.expr1._d_n(n, feed_dict, e_cache_dict, d_cache_dict) + \
self.expr2._d_n(n, feed_dict, e_cache_dict, d_cache_dict)
d_cache_dict[(id(self), n)] = res1
return d_cache_dict[(id(self), n)]
def _h(self, feed_dict, e_cache, d_cache, h_cache):
if id(self) not in h_cache:
# Both dx^2 and dxdy are just the additions
h1 = self.expr1._h(feed_dict, e_cache, d_cache, h_cache)
h2 = self.expr2._h(feed_dict, e_cache, d_cache, h_cache)
ret = {var:{} for var in self.dep_vars}
for var1 in self.dep_vars:
for var2 in self.dep_vars:
dxy1 = h1.get(var1, {}).get(var2, 0)
dxy2 = h2.get(var1, {}).get(var2, 0)
ret[var1][var2] = dxy1 + dxy2
h_cache[id(self)] = ret
return h_cache[id(self)]
class Subtraction(Binop):
'''Subtraction, in the form A - B'''
def _eval(self, feed_dict, cache_dict):
if id(self) not in cache_dict:
res1 = self.expr1._eval(feed_dict, cache_dict)
res2 = self.expr2._eval(feed_dict, cache_dict)
cache_dict[id(self)] = res1 - res2
return cache_dict[id(self)]
def _d(self, feed_dict, e_cache_dict, d_cache_dict):
if id(self) not in d_cache_dict:
d1 = self.expr1._d(feed_dict, e_cache_dict, d_cache_dict)
d2 = self.expr2._d(feed_dict, e_cache_dict, d_cache_dict)
ret = {}
for var in self.dep_vars:
ret[var] = d1.get(var, 0) - d2.get(var, 0)
d_cache_dict[id(self)] = ret
return d_cache_dict[id(self)]
def _d_expr(self, var):
if var not in self.dep_vars:
return Constant(0)
return self.expr1._d_expr(var) - self.expr2._d_expr(var)
def _d_n(self, n, feed_dict, e_cache_dict, d_cache_dict):
if (id(self), n) in d_cache_dict:
return d_cache_dict[(id(self), n)]
if n == 0:
res1 = self._eval(feed_dict, e_cache_dict)
else:
res1 = self.expr1._d_n(n, feed_dict, e_cache_dict, d_cache_dict) - \
self.expr2._d_n(n, feed_dict, e_cache_dict, d_cache_dict)
d_cache_dict[(id(self), n)] = res1
return d_cache_dict[(id(self), n)]
def _h(self, feed_dict, e_cache, d_cache, h_cache):
if id(self) not in h_cache:
# Both dx^2 and dxdy are just the additions
h1 = self.expr1._h(feed_dict, e_cache, d_cache, h_cache)
h2 = self.expr2._h(feed_dict, e_cache, d_cache, h_cache)
ret = {var:{} for var in self.dep_vars}
for var1 in self.dep_vars:
for var2 in self.dep_vars:
dxy1 = h1.get(var1, {}).get(var2, 0)
dxy2 = h2.get(var1, {}).get(var2, 0)
ret[var1][var2] = dxy1 - dxy2
h_cache[id(self)] = ret
return h_cache[id(self)]
class Multiplication(Binop):
'''Multiplication, in the form A * B'''
def _eval(self, feed_dict, cache_dict):
if id(self) not in cache_dict:
res1 = self.expr1._eval(feed_dict, cache_dict)
res2 = self.expr2._eval(feed_dict, cache_dict)
cache_dict[id(self)] = res1 * res2
return cache_dict[id(self)]
def _d(self, feed_dict, e_cache_dict, d_cache_dict):
if id(self) not in d_cache_dict:
d1 = self.expr1._d(feed_dict, e_cache_dict, d_cache_dict)
d2 = self.expr2._d(feed_dict, e_cache_dict, d_cache_dict)
res1 = self.expr1._eval(feed_dict, e_cache_dict)
res2 = self.expr2._eval(feed_dict, e_cache_dict)
ret = {}
for var in self.dep_vars:
ret[var] = res1 * d2.get(var, 0) + res2 * d1.get(var, 0)
d_cache_dict[id(self)] = ret
return d_cache_dict[id(self)]
def _h(self, feed_dict, e_cache, d_cache, h_cache):
if id(self) not in h_cache:
# Both dx^2 and dxdy are just the additions
h1 = self.expr1._h(feed_dict, e_cache, d_cache, h_cache)
h2 = self.expr2._h(feed_dict, e_cache, d_cache, h_cache)
d1 = self.expr1._d(feed_dict, e_cache, d_cache)
d2 = self.expr2._d(feed_dict, e_cache, d_cache)
v1 = self.expr1._eval(feed_dict, e_cache)
v2 = self.expr2._eval(feed_dict, e_cache)
ret = {var:{} for var in self.dep_vars}
for var1 in self.dep_vars:
for var2 in self.dep_vars:
dxy1 = h1.get(var1, {}).get(var2, 0)
dxy2 = h2.get(var1, {}).get(var2, 0)
ret[var1][var2] = (d1.get(var1, 0) * d2.get(var2, 0) +
d1.get(var2, 0) * d2.get(var1, 0) +
v1 * dxy2 + v2 * dxy1)
h_cache[id(self)] = ret
return h_cache[id(self)]
def _d_expr(self, var):
if var not in self.dep_vars:
return Constant(0)
if isinstance(self.expr1, Constant):
return self.expr1.val * self.expr2._d_expr(var)
elif isinstance(self.expr2, Constant):
return self.expr2.val * self.expr1._d_expr(var)
else:
return self.expr1 * self.expr2._d_expr(var) + self.expr2 * \
self.expr1._d_expr(var)
def _d_n(self, n, feed_dict, e_cache_dict, d_cache_dict):
if (id(self), n) in d_cache_dict:
return d_cache_dict[(id(self), n)]
if n == 0:
res = self._eval(feed_dict, e_cache_dict)
d_cache_dict[(id(self), 0)] = res
return d_cache_dict[(id(self), 0)]
res = 0
for i in range(n+1):
if (id(self.expr1), i) not in d_cache_dict:
f_i = self.expr1._d_n(i, feed_dict, e_cache_dict, d_cache_dict)
d_cache_dict[(id(self.expr1), i)] = f_i
if (id(self.expr2), n-i) not in d_cache_dict:
g_ni = self.expr2._d_n(n-i, feed_dict, e_cache_dict,
d_cache_dict)
d_cache_dict[(id(self.expr2), n-i)] = g_ni
f_i = d_cache_dict[(id(self.expr1), i)]
g_ni = d_cache_dict[(id(self.expr2), n-i)]
res += f_i * g_ni
d_cache_dict[(id(self), n)] = res
return d_cache_dict[(id(self), n)]
class Division(Binop):
'''Division, in the form A / B'''
def _eval(self, feed_dict, cache_dict):
if id(self) not in cache_dict:
res1 = self.expr1._eval(feed_dict, cache_dict)
res2 = self.expr2._eval(feed_dict, cache_dict)
cache_dict[id(self)] = res1 / res2
return cache_dict[id(self)]
def _d(self, feed_dict, e_cache_dict, d_cache_dict):
if id(self) not in d_cache_dict:
d1 = self.expr1._d(feed_dict, e_cache_dict, d_cache_dict)
d2 = self.expr2._d(feed_dict, e_cache_dict, d_cache_dict)
res1 = self.expr1._eval(feed_dict, e_cache_dict)
res2 = self.expr2._eval(feed_dict, e_cache_dict)
ret = {}
for var in self.dep_vars:
ret[var] = (d1.get(var, 0) / res2) - (d2.get(var, 0) * res1 /
(res2 * res2))
d_cache_dict[id(self)] = ret
return d_cache_dict[id(self)]
def _d_expr(self, var):
if var not in self.dep_vars:
return Constant(0)
if isinstance(self.expr1, Constant):
return - self.expr1.val * self.expr2._d_expr(var) / (self.expr2 *
self.expr2)
elif isinstance(self.expr2, Constant):
return self.expr1._d_expr(var) * (1.0 / self.expr2.val)
else:
return self.expr1._d_expr(var) / self.expr2 - self.expr1 * \
self.expr2._d_expr(var) / (self.expr2 * self.expr2)
def _d_n(self, n, feed_dict, e_cache_dict, d_cache_dict):
if (id(self), n) in d_cache_dict:
return d_cache_dict[(id(self), n)]
if n == 0:
res = self._eval(feed_dict, e_cache_dict)
d_cache_dict[(id(self), 0)] = res
return d_cache_dict[(id(self), 0)]
res = 0
for i in range(n):
if (id(self), i) not in d_cache_dict:
div_i = self._d_n(i, feed_dict, e_cache_dict, d_cache_dict)
d_cache_dict[(id(self), i)] = div_i
if (id(self.expr2), n-i) not in d_cache_dict:
g_ni = self.expr2._d_n(n-i, feed_dict, e_cache_dict, d_cache_dict)
d_cache_dict[(id(self.expr2), n-i)] = g_ni
div_i = d_cache_dict[(id(self), i)]
g_ni = d_cache_dict[(id(self.expr2), n-i)]
res -= div_i * g_ni
if (id(self.expr1), n) not in d_cache_dict:
f_n = self.expr1._d_n(n, feed_dict, e_cache_dict, d_cache_dict)
d_cache_dict[(id(self.expr1), n)] = f_n
f_n = d_cache_dict[(id(self.expr1), n)]
res += f_n
if (id(self.expr2), 0) not in d_cache_dict:
g_0 = self.expr2._eval(feed_dict, e_cache_dict)
d_cache_dict[(id(self.expr2), 0)] = g_0
g_0 = d_cache_dict[(id(self.expr2), 0)]
res /= g_0
d_cache_dict[(id(self), n)] = res
return d_cache_dict[(id(self), n)]
def _h(self, feed_dict, e_cache, d_cache, h_cache):
if id(self) not in h_cache:
# Both dx^2 and dxdy are just the additions
h1 = self.expr1._h(feed_dict, e_cache, d_cache, h_cache)
h2 = self.expr2._h(feed_dict, e_cache, d_cache, h_cache)
d1 = self.expr1._d(feed_dict, e_cache, d_cache)
d2 = self.expr2._d(feed_dict, e_cache, d_cache)
f = self.expr1._eval(feed_dict, e_cache)
g = self.expr2._eval(feed_dict, e_cache)
ret = {var:{} for var in self.dep_vars}
for var1 in self.dep_vars:
for var2 in self.dep_vars:
fxy = h1.get(var1, {}).get(var2, 0)
gxy = h2.get(var1, {}).get(var2, 0)
fx, fy = d1.get(var1, 0), d1.get(var2, 0)
gx, gy = d2.get(var1, 0), d2.get(var2, 0)
term1 = - (gx * fy + gy * fx) / (g ** 2)
term2 = (2 * f * gy * gx) / (g ** 3)
term3 = (fxy / g) - (f * gxy) / (g ** 2)
ret[var1][var2] = term1 + term2 + term3
h_cache[id(self)] = ret
return h_cache[id(self)] | PypiClean |
/DamPy-0.12.9.tar.gz/DamPy-0.12.9/dampy/lib/Assets.py |
import requests, json
from requests.auth import HTTPBasicAuth
import logging
import csv, ast
import hashlib
from dampy.lib.Config import *
from dampy.lib.Util import *
from dampy.lib.Env import Env
class Assets:
'''Class abstracting the DAM operations '''
def __init__(self, conn):
'''
Initialize an Assets instance with a AEM handle
'''
self.conn = conn
def list(self, path='/content/dam', csv_dump=False, csv_file='output/asset_list.csv'):
'''
Get the list of all assets under the path given as parameter and optionally write it to a CSV file
'''
asset_list = []
url = urls['list'] + path
logging.debug('URL : '+url)
response = self.conn.get(url)
if response.success:
for e in response.data[keys.assets_key]:
asset_list.append(e[keys.path_key])
else:
logging.error('Error getting the assets list')
logging.error('Failed due to : '+response.message)
logging.error('Empty list returned')
if csv_dump or csv_file:
logging.debug("Writing asset list of assets to : " + csv_file)
dir, fname = dir_n_file(csv_file, 'csv')
env = Env(dir)
env.writeCSV(fname, list=asset_list)
return asset_list
def metadata(self, asset_path, level=1):
'''
Get the metadata of the asset. Level specifies for nesting levels for metadata fetch
'''
asset_metadata = {}
url = asset_path + urls['metadata_suffix'] + str(level) + urls['metadata_type']
response = self.conn.get(url)
if response.success:
asset_metadata = response.data
else:
logging.error('Error getting the asset metadata')
logging.error('Failed due to : '+response.message)
logging.error('Empty metadata returned')
return asset_metadata
def _metaVal(self, asset, key):
'''
Finds the key in the asset json and returns its vale
'''
path = key.split('/')
p_obj = asset
try:
for k in path:
p_obj = p_obj[k]
except:
return None
return p_obj
def _csvRead(self, csv_file, header=True, type=True):
'''
Reads the CSV file and returns the headers, types and data as per the flags passed in
'''
headers = []
types = []
csv_data = []
with open(csv_file,'r') as cFile:
csv_reader = csv.reader(cFile, delimiter=',')
for row in csv_reader:
csv_data.append(row)
if csv_data and header :
headers = csv_data.pop(0)
if csv_data and type :
types = csv_data.pop(0)
return headers, types, csv_data
def xprops(self, path='/content/dam', props=['jcr:path','jcr:content/metadata/dc:title'], csv_file='output/asset_props.csv'):
'''
Extracts the metadata properties of the assets under the given path and writes it to an output csv file
'''
asset_data = []
url = urls['xprops'] + path
url = url.replace('$props', ' '.join(props))
logging.debug(url)
response = self.conn.get(url)
if response.success:
asset_data.append(props)
for asset in response.data[keys.assets_key]:
asset_props = []
for key in props:
asset_props.append(self._metaVal(asset, key))
asset_data.append(asset_props)
logging.debug("Writing asset list of assets to : " + csv_file)
dir, fname = dir_n_file(csv_file, 'csv')
env = Env(dir)
env.writeCSV(fname, data=asset_data)
return True
else:
logging.error('Error extracting asset properties')
logging.error('Failed due to : '+response.message)
logging.error('Empty list returned')
return False
def uprops(self, csv_file='input/asset_props.csv'):
'''
Reads a CSV file and updates the asset perperties based on this CSV data
'''
headers, types, csv_data = self._csvRead(csv_file)
if not headers:
logging.error('Invalid CSV input file')
logging.error('First row of CSV must be headers')
return False
elif ( "jcr:path" != headers[0]):
logging.error('Invalid CSV input file')
logging.error('The first column of header must be jcr:path property')
return False
if not types:
logging.error('Invalid CSV input file')
logging.error('Second row of CSV must be types')
return False
overall_status = True
for row in csv_data:
api_a_path = row[0][12:]
update_properties = ast.literal_eval(msgs['uprops'])
for index, header in enumerate(headers):
if index > 0 and header:
if '[]' in types[index]:
vals = ast.literal_eval(row[index])
for v in vals:
update_properties.append(('.' + api_a_path + '/' + header, v))
else:
update_properties.append(('.' + api_a_path + '/' + header, row[index]))
update_properties.append(('.' + api_a_path + '/' + header + '@TypeHint', types[index]))
logging.debug('Updating with : ' + json.dumps(update_properties))
response = self.conn.post(urls['uprops'], data = update_properties)
if not response.success :
logging.error('Error updating properties for asset : ',update_properties)
overall_status = False
return overall_status
def _download(self, asset_path, env, retain_dam_path):
'''
Downlods the asset to the directory represented by the env object
'''
logging.debug("Downloading asset : " + str(asset_path))
response = self.conn.rawget(asset_path)
env.store(asset_path, response.data.content, retain_dam_path)
return True
def downloadAsset(self, asset_path, dir='download', retain_dam_path=False):
'''
Downlods the asset to the dir
'''
env = Env(dir)
return self._download(asset_path, env, retain_dam_path)
def downloadFolder(self, path='/content/dam', dir='download', retain_dam_path=True):
'''
Downlods all assets under the mentioned DAM path to the dir
'''
asset_list = self.list(path)
logging.debug("Asset list : "+str(asset_list))
overall_status = True
if asset_list:
env = Env(dir)
for asset in asset_list:
status = self._download(asset, env, retain_dam_path)
overall_status &= status
return overall_status
def createFolder(self, path, title=None, ignore_error = False):
'''
Creates the folder specified by the path in DAM
'''
parent, name = splitPath(path)
n_name=namify(name)
n_path=namify(path)
data = msgs['createFolder'].replace('$name', n_name)
if title:
data = data.replace('$title', title)
else:
data = data.replace('$title', name)
data = json.loads(data)
logging.debug('URL - '+ n_path)
logging.debug('Data - '+ str(data))
response = self.conn.post(n_path, data = data)
if not (ignore_error or response.success):
logging.error('Error creating folder')
logging.error('Failed due to : '+response.message)
logging.error('Check if the folder already exists')
return response.success
def createFolderTree(self, path='/content/dam', srcDir=None, srcList=None, ignore_error = False):
'''
Creates the folder tree structure in DAM under the given path, reflecting the structure in local dir
'''
dirList = []
if srcList:
if isinstance(srcList, list):
dirList += cleanseDirList('', srcList, path )
elif isinstance(srcList, str):
headers, types, csv_data = self._csvRead(srcList, False, False)
for row in csv_data:
dirList += cleanseDirList('', row, path )
else:
logging.error('Invalid input for srcList')
if srcDir:
env = Env(srcDir)
dirList += cleanseDirList(srcDir, env.listDirs(), path )
logging.debug('Creating Folders for - '+ str(dirList))
overall_status = True
for dir in dirList:
logging.debug('Creating Folder - '+ dir)
status = self.createFolder(dir)
overall_status &= status
return overall_status
def fetchFolderTree(self, path='/content/dam', csv_file='output/folder_tree.csv', props=['jcr:path', 'jcr:content/jcr:title']):
'''
Fetches the folder structure under the given path and writes it to an output csv file
'''
folder_data = []
url = urls['fetchFolderTree'] + path
url = url.replace('$props', ' '.join(props))
logging.debug(url)
response = self.conn.get(url)
if response.success:
folder_data.append(props)
for folder in response.data[keys.assets_key]:
folder_props = []
for key in props:
folder_props.append(self._metaVal(folder, key))
folder_data.append(folder_props)
logging.debug("Writing folder list to : " + csv_file)
dir, fname = dir_n_file(csv_file, 'csv')
env = Env(dir)
env.writeCSV(fname, data=folder_data)
else:
logging.error('Error fetching folder list')
logging.error('Failed due to : '+response.message)
logging.error('Empty list returned')
return folder_data
def updateFolderTitle(self, path, newTitle):
'''
Updates the folder title with the new value provided
'''
url = urls['updateFolderTitle']
data = json.loads(msgs['updateFolderTitle'].replace('$path', path).replace('$title',newTitle))
logging.debug('URL - '+ url)
logging.debug('Data - '+ str(data))
response = self.conn.post(url, data = data)
if not response.success:
logging.error('Error updating folder title')
logging.error('Failed due to : '+response.message)
return response.success
def restructure(self, inputCSV='input/restructure.csv'):
'''
Restructures the DAM folder structure based on the input CSV file
'''
headers, types, csv_data = self._csvRead(inputCSV, True, False)
overall_status = True
for row in csv_data:
logging.debug('Processing row - '+ str(row))
if('Move' == row[0]):
srcPath = row[1]
destPath = row[3]
dparent, dname = splitPath(destPath)
status = self.move(srcPath, dparent, dname)
if(row[1] != row[4]):
self.updateFolderTitle(destPath,row[4])
elif ('Delete' == row[0]):
status = self.delete(row[1])
overall_status &= status
return overall_status
def uploadAsset(self, file, path='/content/dam'):
'''
Uploads the single file to DAM at the specified path
'''
path = trimPath(path)
self.createFolder(path, None, True)
url = path + '.createasset.html'
logging.debug('URL - '+ path)
logging.debug('file - '+ file)
files = {'file': open(file, 'rb')}
response = self.conn.post(url, files = files)
if not response.success:
logging.error('Error getting uploading file')
logging.error('Failed due to : '+response.message)
return response.success
def uploadFolder(self, dir='upload', path='/content/dam'):
'''
Upload all the assets under the dir parameter.
Folder structure under dir replicated onto DAM, under the path specified
'''
env = Env(dir)
path_map = cleansePaths(dir, env.listFiles(), path )
overall_status = True
for file in path_map:
logging.debug('Uploading file - '+ file)
status = self.uploadAsset(file, path_map[file])
overall_status &= status
return overall_status
def move(self, srcPath, destPath, newName=None):
'''
Move the asset or folder from the srcPath to the destPath
'''
url = urls['move']
data = msgs['move'].replace('$srcPath', srcPath).replace('$destParentPath',destPath)
if newName:
data = data.replace('$destName', newName)
else:
parent, name = splitPath(srcPath)
data = data.replace('$destName', name)
data = json.loads(data)
logging.debug('URL - '+ url)
logging.debug('Data - '+ str(data))
response = self.conn.post(url, data = data)
if not response.success:
logging.error('Error moving ' + srcPath + ' to ' + destPath)
logging.error('Failed due to : '+response.message)
return response.success
def activate(self, path, force='true'):
'''
Activate the asset or folder specified by the path parameter
'''
metadata = self.metadata(path)
if('dam:AssetContent' == metadata['jcr:primaryType']) :
url = urls['activate']
else :
url = urls['activateTree']
data = json.loads(msgs['activate'].replace('$path', path))
logging.debug('URL - '+ url)
logging.debug('Data - '+ str(data))
response = self.conn.post(url, data = data)
if not response.success:
logging.error('Error Activating the asset')
logging.error('Failed due to : '+response.message)
return response.success
def deactivate(self, path, force='true'):
'''
Deactivate the asset or folder specified by the path parameter
'''
url = urls['deactivate']
data = json.loads(msgs['deactivate'].replace('$path', path))
logging.debug('URL - '+ url)
logging.debug('Data - '+ str(data))
response = self.conn.post(url, data = data)
if not response.success:
logging.error('Error Deactivating the asset')
logging.error('Failed due to : '+response.message)
return response.success
def delete(self, path, force='true'):
'''
Delete the asset or folder specified by the path parameter
'''
url = urls['delete']
data = json.loads(msgs['delete'].replace('$path', path))
logging.debug('URL - '+ url)
logging.debug('Data - '+ str(data))
response = self.conn.post(url, data = data)
if not response.success:
logging.error('Error Deactivating the asset')
logging.error('Failed due to : '+response.message)
return response.success
def activateList(self, listSrc):
'''
Activate all the assets provided by the listSrc.
listSrc can be a list of all assets to activate or the file name containing the list of assets
'''
return self._perform(self.activate, listSrc)
def deactivateList(self, listSrc):
'''
Deactivate all the assets provided by the listSrc.
listSrc can be a list of all assets to deactivate or the file name containing the list of assets
'''
return self._perform(self.deactivate, listSrc)
def deleteList(self, listSrc):
'''
Delete all the assets provided by the listSrc.
listSrc can be a list of all assets to delete or the file name containing the list of assets
'''
return self._perform(self.delete, listSrc)
def _perform(self, action, listSrc):
'''
Creates the folder tree structure in DAM under the given path, reflecting the structure in local dir
'''
assetList = []
if listSrc:
if isinstance(listSrc, list):
assetList += cleanseDirList('', listSrc, '/content/dam' )
elif isinstance(listSrc, str):
headers, types, csv_data = self._csvRead(listSrc, False, False)
logging.debug('Asset list from ' + listSrc + ' - '+ str(csv_data))
for row in csv_data:
assetList += cleanseDirList('', row, '/content/dam' )
else:
logging.error('Invalid input for listSrc')
logging.debug('Performing '+ str(action) +' for - '+ str(assetList))
overall_status = True
for asset in assetList:
logging.debug('Processing asset - '+ asset)
overall_status &= action(asset)
return overall_status
def exists(self, asset):
'''
Check if the file is available in DAM and returns the list of paths at which the file is available
'''
fcontent = open(asset, 'rb').read()
_sha1 = hashlib.sha1(fcontent).hexdigest()
url = urls['exists'] + _sha1
logging.debug('URL - '+ url)
response = self.conn.get(url)
duplicates = []
if response.success:
for e in response.data[keys.assets_key]:
duplicates.append(e[keys.path_key])
else:
logging.error('Error checking if the given asset exists in DAM')
logging.error('Failed due to : '+response.message)
logging.error('Empty list returned')
return duplicates
def duplicates(self, path='/content/dam'):
'''
Find all the duplicate binaries under the given path and returns it. Returns empty if no duplicates are identified
'''
url = urls['duplicates'] + path
logging.debug('URL - '+ url)
response = self.conn.get(url)
duplicates = {}
removals = []
if response.success:
for e in response.data[keys.assets_key]:
sha_val = self._metaVal(e, keys.sha1_key)
if sha_val in duplicates:
duplicates[sha_val].append(e[keys.path_key])
else:
duplicates[sha_val] = [e[keys.path_key]]
for k in duplicates:
if len(duplicates[k]) <=1:
removals.append(k)
for k in removals:
duplicates.pop(k)
else:
logging.error('Error checking for duplicates in DAM')
logging.error('Failed due to : '+response.message)
logging.error('Empty list returned')
return duplicates
def checkout(self, path, action='checkout'):
'''
Check-out/check-in an asset in DAM
'''
url = path + urls['checkout']
data = json.loads(msgs[action])
logging.debug('URL - '+ url)
logging.debug('Data - '+ str(data))
response = self.conn.post(url, data = data)
if not (response.success):
logging.error('Error checking out the asset')
logging.error('Failed due to : '+response.message)
logging.error('Check if the asset exists and is not locked')
return response.success
def checkin(self, path):
'''
Check-in an asset in DAM. Calls checkout method with action param as 'checkin' to
accomplish the task
'''
return self.checkout(path, action='checkin')
def edit(self, path, crop='', rotate='', flip='', map=''):
'''
Edit an asset in DAM.
Support cropping, rotating, flipping and mapping of the asset in DAM
'''
url = path + urls['edit']
data = msgs['edit']
data = data.replace('$crop', crop)
data = data.replace('$rotate', rotate)
flipHorizontal = ''
flipVertical = ''
if flip in ('h', 'b', 'horizontal', 'both'):
flipHorizontal = 'fliphorizontal'
if flip in ('v', 'b', 'vertical', 'both'):
flipVertical = 'flipvertical'
data = data.replace('$flipHorizontal', flipHorizontal)
data = data.replace('$flipVertical', flipVertical)
data = json.loads(data)
data['./imageMap'] = map
logging.debug('URL - '+ url)
logging.debug('Data - '+ str(data))
response = self.conn.post(url, data = data)
if not (response.success):
logging.error('Error editing the asset')
logging.error('Failed due to : '+response.message)
logging.error('Check if the asset exists and is not checked out by someone else')
return response.success
def crop(self, path, top_left, bottom_right):
'''
Crop an asset in DAM.
'''
if not (top_left or bottom_right):
logging.error('Top left and bottom right parameter mandatory to crop an asset')
return False
if (len(top_left) != 2) or (len(bottom_right) != 2):
logging.error('Invalid values for top left or bottom right parameters')
return False
if not (isinstance(top_left[0], int) and isinstance(top_left[1], int) and isinstance(bottom_right[0], int) and isinstance(bottom_right[1], int)):
logging.error('Invalid values for top left or bottom right parameters')
return False
crop_str = ','.join(str(x) for x in (top_left + bottom_right))
return self.edit(path, crop=crop_str)
def rotate(self, path, angle):
'''
Rotate an asset in DAM.
'''
if not angle:
logging.error('Angle parameter mandatory to rotate an asset')
return False
if not isinstance(angle, int):
logging.error('Invalid values for angle parameter')
return False
return self.edit(path, rotate=str(angle))
def flip(self, path, type):
'''
Flip an asset in DAM horizontally or veritcally
Set type to 'h' or 'horizontal' to flip the asset horizontally
Set type to 'v' or 'vertical' to flip the asset vertically
Set type to 'b' or 'both' to flip the asset both horizontally and vertically
'''
if not type:
logging.error('type parameter mandatory to flip an asset')
return False
if not type in ('h', 'v', 'b', 'horizontal', 'vertical', 'both'):
logging.error('Invalid values for type parameter')
return False
return self.edit(path, flip=type)
def map(self, path, data):
'''
Image map an asset in DAM based on the data
'''
if not data:
logging.error('data parameter mandatory to image map an asset')
return False
return self.edit(path, map=data)
def getMapData(self, currentMap='', type='rect', dimension=(0,0,100,100), link='#', alt='Click', target='_self'):
'''
From map data based on input parameters, add it to current map data supplied and return it
'''
mapData = '[' + type + str(dimension) + '\"' + link +'\"|\"' + target + '\"|\"' + alt + '\"]'
return currentMap + mapData | PypiClean |
/0-orchestrator-1.1.0a7.tar.gz/0-orchestrator-1.1.0a7/zeroos/orchestrator/sal/Container.py | import json
from io import BytesIO
import logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
class Containers:
def __init__(self, node):
self.node = node
def list(self):
containers = []
for container in self.node.client.container.list().values():
try:
containers.append(Container.from_containerinfo(container, self.node))
except ValueError:
# skip containers withouth tags
pass
return containers
def get(self, name):
containers = list(self.node.client.container.find(name).values())
if not containers:
raise LookupError("Could not find container with name {}".format(name))
if len(containers) > 1:
raise LookupError("Found more than one containter with name {}".format(name))
return Container.from_containerinfo(containers[0], self.node)
def create(self, name, flist, hostname=None, mounts=None, nics=None,
host_network=False, ports=None, storage=None, init_processes=None, privileged=False):
logger.debug("create container %s", name)
container = Container(name, self.node, flist, hostname, mounts, nics,
host_network, ports, storage, init_processes, privileged)
container.start()
return container
class Container:
"""G8SO Container"""
def __init__(self, name, node, flist, hostname=None, mounts=None, nics=None,
host_network=False, ports=None, storage=None, init_processes=None,
privileged=False, identity=None):
"""
TODO: write doc string
filesystems: dict {filesystemObj: target}
"""
self.name = name
self.node = node
self.mounts = mounts or {}
self.hostname = hostname
self.flist = flist
self.ports = ports or {}
self.nics = nics or []
self.host_network = host_network
self.storage = storage
self.init_processes = init_processes or []
self._client = None
self.privileged = privileged
self.identity = identity
self._ays = None
for nic in self.nics:
nic.pop('token', None)
if nic.get('config', {}).get('gateway', ''):
nic['monitor'] = True
@classmethod
def from_containerinfo(cls, containerinfo, node):
logger.debug("create container from info")
arguments = containerinfo['container']['arguments']
if not arguments['tags']:
# we don't deal with tagless containers
raise ValueError("Could not load containerinfo withouth tags")
return cls(arguments['tags'][0],
node,
arguments['root'],
arguments['hostname'],
arguments['mount'],
arguments['nics'],
arguments['host_network'],
arguments['port'],
arguments['storage'],
arguments['privileged'],
arguments['identity'])
@classmethod
def from_ays(cls, service, password=None):
logger.debug("create container from service (%s)", service)
from .Node import Node
node = Node.from_ays(service.parent, password)
ports = {}
for portmap in service.model.data.ports:
source, dest = portmap.split(':')
ports[int(source)] = int(dest)
nics = [nic.to_dict() for nic in service.model.data.nics]
mounts = {}
for mount in service.model.data.mounts:
fs_service = service.aysrepo.serviceGet('filesystem', mount.filesystem)
try:
sp = node.storagepools.get(fs_service.parent.name)
fs = sp.get(fs_service.name)
except KeyError:
continue
mounts[fs.path] = mount.target
container = cls(
name=service.name,
node=node,
mounts=mounts,
nics=nics,
hostname=service.model.data.hostname,
flist=service.model.data.flist,
ports=ports,
host_network=service.model.data.hostNetworking,
storage=service.model.data.storage,
init_processes=[p.to_dict() for p in service.model.data.initProcesses],
privileged=service.model.data.privileged,
identity=service.model.data.identity,
)
return container
@property
def id(self):
logger.debug("get container id")
info = self.info
if info:
return info['container']['id']
return
@property
def info(self):
logger.debug("get container info")
for containerid, container in self.node.client.container.list().items():
if self.name in (container['container']['arguments']['tags'] or []):
container['container']['id'] = int(containerid)
return container
return
@property
def client(self):
if self._client is None:
self._client = self.node.client.container.client(self.id)
return self._client
def upload_content(self, remote, content):
if isinstance(content, str):
content = content.encode('utf8')
bytes = BytesIO(content)
self.client.filesystem.upload(remote, bytes)
def download_content(self, remote):
buff = BytesIO()
self.client.filesystem.download(remote, buff)
return buff.getvalue().decode()
def _create_container(self, timeout=60):
logger.debug("send create container command to g8os")
tags = [self.name]
if self.hostname and self.hostname != self.name:
tags.append(self.hostname)
job = self.node.client.container.create(
root_url=self.flist,
mount=self.mounts,
host_network=self.host_network,
nics=self.nics,
port=self.ports,
tags=tags,
hostname=self.hostname,
storage=self.storage,
privileged=self.privileged,
identity=self.identity,
)
containerid = job.get(timeout)
self._client = self.node.client.container.client(containerid)
def is_job_running(self, cmd):
try:
for job in self._client.job.list():
arguments = job['cmd']['arguments']
if 'name' in arguments and arguments['name'] == cmd:
return job
return False
except Exception as err:
if str(err).find("invalid container id"):
return False
raise
def is_port_listening(self, port, timeout=60):
import time
start = time.time()
while start + timeout > time.time():
if port not in self.node.freeports(port, nrports=3):
return True
time.sleep(0.2)
return False
def start(self):
if not self.is_running():
logger.debug("start %s", self)
self._create_container()
for process in self.init_processes:
cmd = "{} {}".format(process['name'], ' '.join(process.get('args', [])))
pwd = process.get('pwd', '')
stdin = process.get('stdin', '')
env = {}
for x in process.get('environment', []):
k, v = x.split("=")
env[k] = v
self.client.system(command=cmd, dir=pwd, stdin=stdin, env=env)
def stop(self):
if not self.is_running():
return
logger.debug("stop %s", self)
self.node.client.container.terminate(self.id)
self._client = None
def is_running(self):
return self.id is not None
@property
def ays(self):
if self._ays is None:
from JumpScale.sal.g8os.atyourservice.StorageCluster import ContainerAYS
self._ays = ContainerAYS(self)
return self._ays
def __str__(self):
return "Container <{}>".format(self.name)
def __repr__(self):
return str(self) | PypiClean |
/Feature_Format-0.1.tar.gz/Feature_Format-0.1/Feature_Format/Feature_Format.py | if __name__ == "__main__":
# !/usr/bin/python
"""
A general tool for converting data from the
dictionary format to an (n x k) python list that's
ready for training an sklearn algorithm
n--no. of key-value pairs in dictonary
k--no. of features being extracted
dictionary keys are names of persons in dataset
dictionary values are dictionaries, where each
key-value pair in the dict is the name
of a feature, and its value for that person
In addition to converting a dictionary to a numpy
array, you may want to separate the labels from the
features--this is what targetFeatureSplit is for
so, if you want to have the poi label as the target,
and the features you want to use are the person's
salary and bonus, here's what you would do:
feature_list = ["poi", "salary", "bonus"]
data_array = featureFormat( data_dictionary, feature_list )
label, features = targetFeatureSplit(data_array)
the line above (targetFeatureSplit) assumes that the
label is the _first_ item in feature_list--very important
that poi is listed first!
"""
import numpy as np
def featureFormat(dictionary, features, remove_NaN=True, remove_all_zeroes=True, remove_any_zeroes=False,
sort_keys=False):
""" convert dictionary to numpy array of features
remove_NaN = True will convert "NaN" string to 0.0
remove_all_zeroes = True will omit any data points for which
all the features you seek are 0.0
remove_any_zeroes = True will omit any data points for which
any of the features you seek are 0.0
sort_keys = True sorts keys by alphabetical order. Setting the value as
a string opens the corresponding pickle file with a preset key
order (this is used for Python 3 compatibility, and sort_keys
should be left as False for the course mini-projects).
NOTE: first feature is assumed to be 'poi' and is not checked for
removal for zero or missing values.
"""
return_list = []
# Key order - first branch is for Python 3 compatibility on mini-projects,
# second branch is for compatibility on final project.
if isinstance(sort_keys, str):
import pickle
keys = pickle.load(open(sort_keys, "rb"))
elif sort_keys:
keys = sorted(dictionary.keys())
else:
keys = dictionary.keys()
for key in keys:
tmp_list = []
for feature in features:
try:
dictionary[key][feature]
except KeyError:
print("error: key ", feature, " not present")
return
value = dictionary[key][feature]
if value == "NaN" and remove_NaN:
value = 0
tmp_list.append(float(value))
# Logic for deciding whether or not to add the data point.
append = True
# exclude 'poi' class as criteria.
if features[0] == 'poi':
test_list = tmp_list[1:]
else:
test_list = tmp_list
### if all features are zero and you want to remove
### data points that are all zero, do that here
if remove_all_zeroes:
append = False
for item in test_list:
if item != 0 and item != "NaN":
append = True
break
### if any features for a given data point are zero
### and you want to remove data points with any zeroes,
### handle that here
if remove_any_zeroes:
if 0 in test_list or "NaN" in test_list:
append = False
### Append the data point if flagged for addition.
if append:
return_list.append(np.array(tmp_list))
return np.array(return_list)
def targetFeatureSplit(data):
"""
given a numpy array like the one returned from
featureFormat, separate out the first feature
and put it into its own list (this should be the
quantity you want to predict)
return targets and features as separate lists
(sklearn can generally handle both lists and numpy arrays as
input formats when training/predicting)
"""
target = []
features = []
for item in data:
target.append(item[0])
features.append(item[1:])
return target, features | PypiClean |
/OERPLib-0.8.4.tar.gz/OERPLib-0.8.4/oerplib/rpc/xmlrpclib_custom.py |
import xmlrpclib
import httplib
import socket
import sys
from urlparse import urlparse
# Defined later following the version of Python used
TimeoutTransport = None
TimeoutSafeTransport = None
class TimeoutServerProxy(xmlrpclib.ServerProxy):
"""xmlrpclib.ServerProxy overload to manage the timeout of the socket."""
def __init__(self, *args, **kwargs):
url = args[0]
https_ok = urlparse(url).scheme == 'https'
t = https_ok and TimeoutSafeTransport() or TimeoutTransport()
t.timeout = kwargs.get('timeout', 120)
if 'timeout' in kwargs:
del kwargs['timeout']
kwargs['transport'] = t
xmlrpclib.ServerProxy.__init__(self, *args, **kwargs)
if sys.version_info <= (2, 7):
# Python 2.5 and 2.6
# -- xmlrpclib.Transport with timeout support --
class TimeoutHTTPPy26(httplib.HTTP):
def __init__(self, host='', port=None, strict=None,
timeout=socket._GLOBAL_DEFAULT_TIMEOUT):
if port == 0:
port = None
self._setup(self._connection_class(host, port, strict, timeout))
class TimeoutTransportPy26(xmlrpclib.Transport):
def __init__(self, timeout=socket._GLOBAL_DEFAULT_TIMEOUT,
*args, **kwargs):
xmlrpclib.Transport.__init__(self, *args, **kwargs)
self.timeout = timeout
def make_connection(self, host):
host, extra_headers, x509 = self.get_host_info(host)
conn = TimeoutHTTPPy26(host, timeout=self.timeout)
return conn
# -- xmlrpclib.SafeTransport with timeout support --
class TimeoutHTTPSPy26(httplib.HTTPS):
def __init__(self, host='', port=None, key_file=None, cert_file=None,
strict=None, timeout=socket._GLOBAL_DEFAULT_TIMEOUT):
if port == 0:
port = None
self._setup(self._connection_class(
host, port, key_file, cert_file, strict, timeout))
self.key_file = key_file
self.cert_file = cert_file
class TimeoutSafeTransportPy26(xmlrpclib.SafeTransport):
def __init__(self, timeout=socket._GLOBAL_DEFAULT_TIMEOUT,
*args, **kwargs):
xmlrpclib.Transport.__init__(self, *args, **kwargs)
self.timeout = timeout
def make_connection(self, host):
host, extra_headers, x509 = self.get_host_info(host)
conn = TimeoutHTTPSPy26(host, timeout=self.timeout)
return conn
# Define the TimeTransport and TimeSafeTransport class version to use
TimeoutTransport = TimeoutTransportPy26
TimeoutSafeTransport = TimeoutSafeTransportPy26
else:
# Python 2.7 and 3.X
# -- xmlrpclib.Transport with timeout support --
class TimeoutHTTPConnectionPy27(httplib.HTTPConnection):
def __init__(self, timeout, *args, **kwargs):
httplib.HTTPConnection.__init__(self, *args, **kwargs)
self.timeout = timeout
def connect(self):
httplib.HTTPConnection.connect(self)
self.sock.settimeout(self.timeout)
class TimeoutTransportPy27(xmlrpclib.Transport):
def __init__(self, timeout=socket._GLOBAL_DEFAULT_TIMEOUT,
*args, **kwargs):
xmlrpclib.Transport.__init__(self, *args, **kwargs)
self.timeout = timeout
def make_connection(self, host):
if self._connection and host == self._connection[0]:
return self._connection[1]
chost, self._extra_headers, x509 = self.get_host_info(host)
self._connection = host, TimeoutHTTPConnectionPy27(
self.timeout, chost)
return self._connection[1]
# -- xmlrpclib.SafeTransport with timeout support --
class TimeoutHTTPSConnectionPy27(httplib.HTTPSConnection):
def __init__(self, timeout, *args, **kwargs):
httplib.HTTPSConnection.__init__(self, *args, **kwargs)
self.timeout = timeout
def connect(self):
httplib.HTTPSConnection.connect(self)
self.sock.settimeout(self.timeout)
class TimeoutSafeTransportPy27(xmlrpclib.SafeTransport):
def __init__(self, timeout=socket._GLOBAL_DEFAULT_TIMEOUT,
*args, **kwargs):
xmlrpclib.SafeTransport.__init__(self, *args, **kwargs)
self.timeout = timeout
def make_connection(self, host):
if self._connection and host == self._connection[0]:
return self._connection[1]
chost, self._extra_headers, x509 = self.get_host_info(host)
self._connection = host, TimeoutHTTPSConnectionPy27(
self.timeout, chost)
return self._connection[1]
# Define the TimeTransport and TimeSafeTransport class version to use
TimeoutTransport = TimeoutTransportPy27
TimeoutSafeTransport = TimeoutSafeTransportPy27
# vim:expandtab:smartindent:tabstop=4:softtabstop=4:shiftwidth=4: | PypiClean |
/IneryPy-0.1.tar.gz/IneryPy-0.1/api/types.py | import datetime as dt
import pytz
from api.utils import *
import json
import binascii
import struct
import six
import colander
from colander import Invalid
from collections import OrderedDict
from api.utils import *
from api.types import *
from api.keys import *
class BaseSchema(colander.SchemaNode):
required = True
class StringSchema(BaseSchema):
schema_type = colander.String
# str schemas
class NameSchema(StringSchema):
pass
class AccountNameSchema(NameSchema):
pass
class PermissionNameSchema(NameSchema):
pass
class ActionNameSchema(NameSchema):
pass
class TableNameSchema(NameSchema):
pass
class ScopeNameSchema(NameSchema):
pass
# boolean
class BooleanSchema(BaseSchema):
schema_type = colander.Bool
# numeric
class IntSchema(BaseSchema):
schema_type = colander.Int
class HexBytesSchema(StringSchema):
missing = colander.drop
# Authority/permission
class ThresholdSchema(IntSchema):
pass
class PublicKeySchema(StringSchema):
pass
class WeightSchema(IntSchema):
pass
class KeyWeightSchema(colander.MappingSchema):
key = PublicKeySchema()
weight = WeightSchema()
class KeyWeightsSchema(colander.SequenceSchema):
key = KeyWeightSchema()
class PermissionLevelSchema(colander.MappingSchema):
actor = AccountNameSchema()
permission = PermissionNameSchema()
class PermissionLevelsSchema(colander.SequenceSchema):
permission = PermissionLevelSchema()
class PermissionLevelWeightSchema(colander.MappingSchema):
permission = PermissionLevelSchema()
weight = WeightSchema()
class PermissionLevelWeightsSchema(colander.SequenceSchema):
permission_level = PermissionLevelWeightSchema()
class WaitSecSchema(IntSchema):
pass
class WaitWeightSchema(colander.MappingSchema):
wait_sec = WaitSecSchema()
weight = WeightSchema()
class WaitWeightsSchema(colander.SequenceSchema):
waits = WaitWeightSchema()
class AuthoritySchema(colander.MappingSchema):
threshold = ThresholdSchema()
keys = KeyWeightsSchema()
accounts = PermissionLevelWeightsSchema()
waits = WaitWeightsSchema()
class PermNameSchema(BaseSchema):
schema_type = colander.String
class ParentSchema(StringSchema):
pass
class PermissionSchema(colander.MappingSchema):
perm_name = PermNameSchema()
parent = ParentSchema()
required_auth = AuthoritySchema()
# def validate_data_schema(node, value):
# if not isinstance(value, dict) or not isinstance(value, str):
# raise colander.Invalid(node, '{} is not a valid data schema'.format(value))
class DataSchema(colander.SchemaType):
def serialize(self, node, appstruct):
if appstruct is colander.null:
return colander.null
impl = colander.Mapping()
if isinstance(appstruct, str):
impl = StringSchema()
return impl.serialize(node, appstruct)
def deserialize(self, node, cstruct):
return cstruct
#############################
# message actions attributes
#############################
class ActionSchema(colander.MappingSchema):
account = AccountNameSchema()
name = ActionNameSchema()
authorization = PermissionLevelsSchema()
# if data is there it can be a HexBytesSchema or DataSchema
hex_data = HexBytesSchema()
data = colander.SchemaNode(DataSchema())
class ActionsSchema(colander.SequenceSchema):
action = ActionSchema()
class ContextActionsSchema(colander.SequenceSchema):
default = []
missing = []
action = ActionSchema()
class ExtensionSchema(colander.MappingSchema):
type = IntSchema()
data = HexBytesSchema()
class ExtensionsSchema(colander.SequenceSchema):
default = []
missing = []
extension = ExtensionSchema()
#############################
# message header attributes
#############################
class TimeSchema(BaseSchema):
schema_type = colander.DateTime
class RefBlockNumSchema(IntSchema):
pass
class RefBlockPrefixSchema(IntSchema):
pass
class NetUsageWordsSchema(IntSchema):
default = 0
missing = 0
class MaxCpuUsageMsSchema(IntSchema):
default = 0
missing = 0
class DelaySecSchema(IntSchema):
default = 0
missing = 0
class SignaturesSchema(colander.Sequence):
signatures = StringSchema()
class TransactionSchema(colander.MappingSchema):
# header
expiration = TimeSchema()
ref_block_num = RefBlockNumSchema()
ref_block_prefix = RefBlockPrefixSchema()
net_usage_words = NetUsageWordsSchema()
max_cpu_usage_ms = MaxCpuUsageMsSchema()
delay_sec = DelaySecSchema()
# body
context_free_actions = ContextActionsSchema()
actions = ActionsSchema()
transaction_extensions = ExtensionsSchema()
# signed transaction
class SignedTransactionSchema(colander.MappingSchema):
compression = StringSchema
transaction = TransactionSchema()
signatures = SignaturesSchema()
# final transaction
class PushTransactionSchema(colander.MappingSchema):
transaction_id = StringSchema()
broadcast = BooleanSchema()
transaction = SignedTransactionSchema()
class TransactionsSchema(colander.SequenceSchema):
transactions = TransactionSchema()
#############################
# get info
#############################
class ChainInfoSchema(colander.MappingSchema):
server_version = StringSchema()
chain_id = StringSchema()
head_block_num = IntSchema()
last_irreversible_block_num = IntSchema()
last_irreversible_block_id = StringSchema()
head_block_id = StringSchema()
head_block_time = TimeSchema()
head_block_producer = StringSchema()
virtual_block_cpu_limit = IntSchema()
virtual_block_net_limit = IntSchema()
block_cpu_limit = IntSchema()
block_net_limit = IntSchema()
#############################
# get block
#############################
class ProducerSchema(colander.SchemaNode):
schema_type = colander.String
missing = 'null'
default = 'null'
required = False
class HeaderExtsSchema(colander.SequenceSchema):
header_extensions = ExtensionsSchema()
class BlockExtsSchema(colander.SequenceSchema):
block_extensions = ExtensionsSchema()
class BlockInfoSchema(colander.MappingSchema):
timestamp = TimeSchema()
producer = StringSchema()
confirmed = IntSchema()
previous = StringSchema()
transaction_mroot = StringSchema()
action_mroot = StringSchema()
schedule_version = IntSchema
new_producers = ProducerSchema()
header_extensions = HeaderExtsSchema()
producer_signature = StringSchema
# TODO
#transactions = [],
block_extensions = BlockExtsSchema()
id = StringSchema()
block_num = IntSchema()
ref_block_prefix = IntSchema()
#############################
# abi
#############################
class AbiTypeSchema(colander.MappingSchema):
new_type_name = StringSchema()
type = StringSchema()
class AbiTypesSchema(colander.SequenceSchema):
default = []
missing = []
types = AbiTypeSchema()
class AbiStructFieldSchema(colander.MappingSchema):
name = StringSchema()
type = StringSchema()
class AbiStructFieldsSchema(colander.SequenceSchema):
default = []
missing = []
fields = AbiStructFieldSchema()
class AbiStructBaseSchema(StringSchema):
default = ""
missing = ""
class AbiStructSchema(colander.MappingSchema):
name = StringSchema()
base = AbiStructBaseSchema()
fields = AbiStructFieldsSchema()
class AbiStructsSchema(colander.SequenceSchema):
structs = AbiStructSchema()
class AbiRicardianStrSchema(StringSchema):
default = ""
missing = ""
required = False
class AbiActionSchema(colander.MappingSchema):
name = StringSchema()
type = StringSchema()
ricardian_contract = AbiRicardianStrSchema()
class AbiActionsSchema(colander.SequenceSchema):
actions = AbiActionSchema()
class AbiTableKey(StringSchema):
pass
# required = False
class AbiTablesKey(colander.SequenceSchema):
default = []
missing = []
keys = AbiTableKey()
class AbiTableSchema(colander.MappingSchema):
name = StringSchema()
index_type = StringSchema()
key_names = AbiTablesKey()
key_types = AbiTablesKey()
type = StringSchema()
class AbiTablesSchema(colander.SequenceSchema):
missing = []
default = []
tables = AbiTableSchema()
class AbiRicardianClauseSchema(colander.MappingSchema):
id = StringSchema()
body = StringSchema()
class AbiRicardianClausesSchema(colander.SequenceSchema):
required = False
missing = []
default = []
rcs = AbiRicardianClauseSchema()
# placeholder
class AbiErrorMessageSchema(StringSchema):
required = False
class AbiErrorMessagesSchema(colander.SequenceSchema):
default = []
missing = []
required = False
error_messages = AbiErrorMessageSchema()
# placeholder
class AbiExtensionSchema(StringSchema):
required = False
class AbiExtensionsSchema(colander.SequenceSchema):
default = []
missing = []
required = False
abi_extensions = AbiExtensionSchema()
# placeholder
class AbiVariantSchema(StringSchema):
required = False
class AbiVariantsSchema(colander.SequenceSchema):
default = []
missing = []
required = False
variants = AbiVariantSchema()
class AbiCommentSchema(StringSchema):
required = False
default = ""
missing = ""
class AbiSchema(colander.MappingSchema):
version = StringSchema()
types = AbiTypesSchema()
structs = AbiStructsSchema()
actions = AbiActionsSchema()
tables = AbiTablesSchema()
ricardian_clauses = AbiRicardianClausesSchema()
error_messages = AbiErrorMessagesSchema()
abi_extensions = AbiExtensionsSchema()
variants = AbiVariantsSchema()
#############################
# ineryytest
#############################
def test_param_validator(node, value):
if not isinstance(value, dict):
raise colander.Invalid(node, '{} is not a valid dictionary'.format(value))
class TestEnvSchema(colander.MappingSchema):
url = StringSchema()
class TestAuthSchema(colander.MappingSchema):
required = False
default = {}
missing = {}
actor = StringSchema()
permission = StringSchema()
key = StringSchema()
class TestResultsSchema(colander.SequenceSchema):
results = StringSchema()
class TestQuerySchema(colander.MappingSchema):
query = StringSchema()
parameters = colander.SchemaNode(
colander.Mapping(unknown='preserve'),
validator=test_param_validator
)
results = TestResultsSchema()
class TestQueriesSchema(colander.SequenceSchema):
required = False
missing = []
default = []
queries = TestQuerySchema()
class TestCommentSchema(colander.String):
required = False
missing = ""
default = ""
class TestActionSchema(colander.MappingSchema):
comment = TestCommentSchema()
action = StringSchema()
contract = StringSchema()
authorization = TestAuthSchema()
parameters = colander.SchemaNode(
colander.Mapping(unknown='preserve'),
validator=test_param_validator
)
exception = BooleanSchema()
queries = TestQueriesSchema()
class TestActionsSchema(colander.SequenceSchema):
actions = TestActionSchema()
class TestSchema(colander.MappingSchema):
name = StringSchema()
authorization = TestAuthSchema()
actions = TestActionsSchema()
class TestsSchema(colander.SequenceSchema):
tests = TestSchema()
class TestDocSchema(colander.MappingSchema):
environment = TestEnvSchema()
tests = TestsSchema()
class BaseSchema(colander.SchemaNode):
required = True
class StringSchema(BaseSchema):
schema_type = colander.String
# str schemas
class NameSchema(StringSchema):
pass
class AccountNameSchema(NameSchema):
pass
class PermissionNameSchema(NameSchema):
pass
class ActionNameSchema(NameSchema):
pass
class TableNameSchema(NameSchema):
pass
class ScopeNameSchema(NameSchema):
pass
# boolean
class BooleanSchema(BaseSchema):
schema_type = colander.Bool
# numeric
class IntSchema(BaseSchema):
schema_type = colander.Int
class HexBytesSchema(StringSchema):
missing = colander.drop
# Authority/permission
class ThresholdSchema(IntSchema):
pass
class PublicKeySchema(StringSchema):
pass
class WeightSchema(IntSchema):
pass
class KeyWeightSchema(colander.MappingSchema):
key = PublicKeySchema()
weight = WeightSchema()
class KeyWeightsSchema(colander.SequenceSchema):
key = KeyWeightSchema()
class PermissionLevelSchema(colander.MappingSchema):
actor = AccountNameSchema()
permission = PermissionNameSchema()
class PermissionLevelsSchema(colander.SequenceSchema):
permission = PermissionLevelSchema()
class PermissionLevelWeightSchema(colander.MappingSchema):
permission = PermissionLevelSchema()
weight = WeightSchema()
class PermissionLevelWeightsSchema(colander.SequenceSchema):
permission_level = PermissionLevelWeightSchema()
class WaitSecSchema(IntSchema):
pass
class WaitWeightSchema(colander.MappingSchema):
wait_sec = WaitSecSchema()
weight = WeightSchema()
class WaitWeightsSchema(colander.SequenceSchema):
waits = WaitWeightSchema()
class AuthoritySchema(colander.MappingSchema):
threshold = ThresholdSchema()
keys = KeyWeightsSchema()
accounts = PermissionLevelWeightsSchema()
waits = WaitWeightsSchema()
class PermNameSchema(BaseSchema):
schema_type = colander.String
class ParentSchema(StringSchema):
pass
class PermissionSchema(colander.MappingSchema):
perm_name = PermNameSchema()
parent = ParentSchema()
required_auth = AuthoritySchema()
# def validate_data_schema(node, value):
# if not isinstance(value, dict) or not isinstance(value, str):
# raise colander.Invalid(node, '{} is not a valid data schema'.format(value))
class DataSchema(colander.SchemaType):
def serialize(self, node, appstruct):
if appstruct is colander.null:
return colander.null
impl = colander.Mapping()
if isinstance(appstruct, str):
impl = StringSchema()
return impl.serialize(node, appstruct)
def deserialize(self, node, cstruct):
return cstruct
#############################
# message actions attributes
#############################
class ActionSchema(colander.MappingSchema):
account = AccountNameSchema()
name = ActionNameSchema()
authorization = PermissionLevelsSchema()
# if data is there it can be a HexBytesSchema or DataSchema
hex_data = HexBytesSchema()
data = colander.SchemaNode(DataSchema())
class ActionsSchema(colander.SequenceSchema):
action = ActionSchema()
class ContextActionsSchema(colander.SequenceSchema):
default = []
missing = []
action = ActionSchema()
class ExtensionSchema(colander.MappingSchema):
type = IntSchema()
data = HexBytesSchema()
class ExtensionsSchema(colander.SequenceSchema):
default = []
missing = []
extension = ExtensionSchema()
#############################
# message header attributes
#############################
class TimeSchema(BaseSchema):
schema_type = colander.DateTime
class RefBlockNumSchema(IntSchema):
pass
class RefBlockPrefixSchema(IntSchema):
pass
class NetUsageWordsSchema(IntSchema):
default = 0
missing = 0
class MaxCpuUsageMsSchema(IntSchema):
default = 0
missing = 0
class DelaySecSchema(IntSchema):
default = 0
missing = 0
class SignaturesSchema(colander.Sequence):
signatures = StringSchema()
class TransactionSchema(colander.MappingSchema):
# header
expiration = TimeSchema()
ref_block_num = RefBlockNumSchema()
ref_block_prefix = RefBlockPrefixSchema()
net_usage_words = NetUsageWordsSchema()
max_cpu_usage_ms = MaxCpuUsageMsSchema()
delay_sec = DelaySecSchema()
# body
context_free_actions = ContextActionsSchema()
actions = ActionsSchema()
transaction_extensions = ExtensionsSchema()
# signed transaction
class SignedTransactionSchema(colander.MappingSchema):
compression = StringSchema
transaction = TransactionSchema()
signatures = SignaturesSchema()
# final transaction
class PushTransactionSchema(colander.MappingSchema):
transaction_id = StringSchema()
broadcast = BooleanSchema()
transaction = SignedTransactionSchema()
class TransactionsSchema(colander.SequenceSchema):
transactions = TransactionSchema()
#############################
# get info
#############################
class ChainInfoSchema(colander.MappingSchema):
server_version = StringSchema()
chain_id = StringSchema()
head_block_num = IntSchema()
last_irreversible_block_num = IntSchema()
last_irreversible_block_id = StringSchema()
head_block_id = StringSchema()
head_block_time = TimeSchema()
head_block_producer = StringSchema()
virtual_block_cpu_limit = IntSchema()
virtual_block_net_limit = IntSchema()
block_cpu_limit = IntSchema()
block_net_limit = IntSchema()
#############################
# get block
#############################
class ProducerSchema(colander.SchemaNode):
schema_type = colander.String
missing = 'null'
default = 'null'
required = False
class HeaderExtsSchema(colander.SequenceSchema):
header_extensions = ExtensionsSchema()
class BlockExtsSchema(colander.SequenceSchema):
block_extensions = ExtensionsSchema()
class BlockInfoSchema(colander.MappingSchema):
timestamp = TimeSchema()
producer = StringSchema()
confirmed = IntSchema()
previous = StringSchema()
transaction_mroot = StringSchema()
action_mroot = StringSchema()
schedule_version = IntSchema
new_producers = ProducerSchema()
header_extensions = HeaderExtsSchema()
producer_signature = StringSchema
# TODO
#transactions = [],
block_extensions = BlockExtsSchema()
id = StringSchema()
block_num = IntSchema()
ref_block_prefix = IntSchema()
#############################
# abi
#############################
class AbiTypeSchema(colander.MappingSchema):
new_type_name = StringSchema()
type = StringSchema()
class AbiTypesSchema(colander.SequenceSchema):
default = []
missing = []
types = AbiTypeSchema()
class AbiStructFieldSchema(colander.MappingSchema):
name = StringSchema()
type = StringSchema()
class AbiStructFieldsSchema(colander.SequenceSchema):
default = []
missing = []
fields = AbiStructFieldSchema()
class AbiStructBaseSchema(StringSchema):
default = ""
missing = ""
class AbiStructSchema(colander.MappingSchema):
name = StringSchema()
base = AbiStructBaseSchema()
fields = AbiStructFieldsSchema()
class AbiStructsSchema(colander.SequenceSchema):
structs = AbiStructSchema()
class AbiRicardianStrSchema(StringSchema):
default = ""
missing = ""
required = False
class AbiActionSchema(colander.MappingSchema):
name = StringSchema()
type = StringSchema()
ricardian_contract = AbiRicardianStrSchema()
class AbiActionsSchema(colander.SequenceSchema):
actions = AbiActionSchema()
class AbiTableKey(StringSchema):
pass
# required = False
class AbiTablesKey(colander.SequenceSchema):
default = []
missing = []
keys = AbiTableKey()
class AbiTableSchema(colander.MappingSchema):
name = StringSchema()
index_type = StringSchema()
key_names = AbiTablesKey()
key_types = AbiTablesKey()
type = StringSchema()
class AbiTablesSchema(colander.SequenceSchema):
missing = []
default = []
tables = AbiTableSchema()
class AbiRicardianClauseSchema(colander.MappingSchema):
id = StringSchema()
body = StringSchema()
class AbiRicardianClausesSchema(colander.SequenceSchema):
required = False
missing = []
default = []
rcs = AbiRicardianClauseSchema()
# placeholder
class AbiErrorMessageSchema(StringSchema):
required = False
class AbiErrorMessagesSchema(colander.SequenceSchema):
default = []
missing = []
required = False
error_messages = AbiErrorMessageSchema()
# placeholder
class AbiExtensionSchema(StringSchema):
required = False
class AbiExtensionsSchema(colander.SequenceSchema):
default = []
missing = []
required = False
abi_extensions = AbiExtensionSchema()
# placeholder
class AbiVariantSchema(StringSchema):
required = False
class AbiVariantsSchema(colander.SequenceSchema):
default = []
missing = []
required = False
variants = AbiVariantSchema()
class AbiCommentSchema(StringSchema):
required = False
default = ""
missing = ""
class AbiSchema(colander.MappingSchema):
version = StringSchema()
types = AbiTypesSchema()
structs = AbiStructsSchema()
actions = AbiActionsSchema()
tables = AbiTablesSchema()
ricardian_clauses = AbiRicardianClausesSchema()
error_messages = AbiErrorMessagesSchema()
abi_extensions = AbiExtensionsSchema()
variants = AbiVariantsSchema()
#############################
# ineryytest
#############################
def test_param_validator(node, value):
if not isinstance(value, dict):
raise colander.Invalid(node, '{} is not a valid dictionary'.format(value))
class TestEnvSchema(colander.MappingSchema):
url = StringSchema()
class TestAuthSchema(colander.MappingSchema):
required = False
default = {}
missing = {}
actor = StringSchema()
permission = StringSchema()
key = StringSchema()
class TestResultsSchema(colander.SequenceSchema):
results = StringSchema()
class TestQuerySchema(colander.MappingSchema):
query = StringSchema()
parameters = colander.SchemaNode(
colander.Mapping(unknown='preserve'),
validator=test_param_validator
)
results = TestResultsSchema()
class TestQueriesSchema(colander.SequenceSchema):
required = False
missing = []
default = []
queries = TestQuerySchema()
class TestCommentSchema(colander.String):
required = False
missing = ""
default = ""
class TestActionSchema(colander.MappingSchema):
comment = TestCommentSchema()
action = StringSchema()
contract = StringSchema()
authorization = TestAuthSchema()
parameters = colander.SchemaNode(
colander.Mapping(unknown='preserve'),
validator=test_param_validator
)
exception = BooleanSchema()
queries = TestQueriesSchema()
class TestActionsSchema(colander.SequenceSchema):
actions = TestActionSchema()
class TestSchema(colander.MappingSchema):
name = StringSchema()
authorization = TestAuthSchema()
actions = TestActionsSchema()
class TestsSchema(colander.SequenceSchema):
tests = TestSchema()
class TestDocSchema(colander.MappingSchema):
environment = TestEnvSchema()
tests = TestsSchema()
def convert_little_endian(buf, format='q'):
''' '''
return struct.pack('<{}'.format(format), buf)
def convert_big_endian(buf, format="I"):
''' '''
# return the first value of the tuple that is returned by unpack
return struct.unpack('<{}'.format(format), buf)[0]
# json encoder
class INREncoder(json.JSONEncoder):
def default(self, o):
if isinstance(o, Action):
return o.__dict__
if isinstance(o, Authorization):
return o.__dict__
if isinstance(o, dt.datetime):
return o.isoformat()
class Name(str):
hex_str_len = 16
class AccountName(Name):
pass
class PermissionName(Name):
pass
class ActionName(Name):
pass
class TableName(Name):
pass
class ScopeName(Name):
pass
class Byte(int):
# length of hex str
hex_str_len = 2
class UInt16(int):
# length of hex str
hex_str_len = 4
class UInt32(int):
# length of hex str
hex_str_len = 8
class UInt64(int):
# length of hex str
hex_str_len = 16
class Int16(int):
# length of hex str
hex_str_len = 4
class Int32(int):
# length of hex str
hex_str_len = 8
class Int64(int):
# length of hex str
hex_str_len = 16
class Float(float):
# length of hex str
hex_str_len = 8
class VarUInt:
def __init__(self, val=""):
''' '''
self._val = val
self._b_arr = bytearray()
def _push_byte(self, val):
self._b_arr.append(int(val))
def encode(self):
''' '''
# ensure value is an int
val = int(self._val)
buf = int((val) & 0x7f)
val >>= 7
buf |= (((val > 0) if 1 else 0) << 7)
self._push_byte(buf)
while val:
buf = int((val) & 0x7f)
val >>= 7
buf |= (((val > 0) if 1 else 0) << 7)
self._push_byte(buf)
return self._b_arr
def _pop(self, buf, length):
return buf[:length], buf[length:]
def decode(self, buf):
''' '''
shift = 0
result = 0
while True:
tmp, buf = self._pop(buf, 2)
i = hex_to_int(tmp)
result |= (i & 0x7f) << shift
shift += 7
if not(i & 0x80):
break
return result, buf
class BaseObject(object):
def __init__(self, d):
''' '''
try:
self._obj = self._validator.deserialize(d)
except Invalid:
raise INRInvalidSchema('Unable to process schema for {}'.format(type(self)))
# instantiate the class
for k, v in self._obj.items():
setattr(self, k, v)
# clean up
del self._obj
del self._validator
def __repr__(self):
''' '''
return '{}({})'.format(self.__class__, self.__dict__)
def _encode_buffer(self, value):
''' '''
return INRBuffer(value).encode()
def _create_obj_array(self, arr, class_type):
''' '''
new_arr = []
for item in arr:
new_arr.append(class_type(item))
return new_arr
class Action(BaseObject):
def __init__(self, d):
''' '''
self._validator = ActionSchema()
super(Action, self).__init__(d)
# setup permissions
self.authorization = self._create_obj_array(self.authorization, Authorization)
def encode(self):
''' '''
acct = self._encode_buffer(AccountName(self.account))
name = self._encode_buffer(Name(self.name))
auth = self._encode_buffer(self.authorization)
# need to figure out how to process data
# get length
data_len = self._encode_buffer(VarUInt(len(self.data) / 2))
data = data_len + self.data
return '{}{}{}{}'.format(acct, name, auth, data)
class Asset:
def __init__(self, value, precision=4):
# self.amount = amt
# self.symbol = sym
# self.precision = precision
self.from_string(value)
def __str__(self):
return '{amount:.{precision}f} {symbol}'.format(amount=self.amount, symbol=self.symbol, precision=self.precision)
def __add__(self, other):
if self.symbol != other.symbol:
raise TypeError('Symbols must match: {} != {}', self.symbol, other.symbol)
return Asset(self.amount + other.amount, self.symbol)
def __sub__(self, other):
if self.amount - other.amount < 0:
raise ValueError('Subtraction would result in a negative.')
if self.symbol != other.symbol:
raise TypeError('Symbols must match: {} != {}', self.symbol, other.symbol)
return Asset(self.amount - other.amount, self.symbol)
def from_string(self, s):
splt = s.split()
try:
self.amount = float(splt[0])
self.symbol = splt[1]
self.precision = len(splt[0].split(".")[1])
except IndexError:
raise IndexError('Invalid string format given. Must be in the formst <float> <currency_type>')
def _string_to_symbol(self):
''' '''
rslt = 0
cnt = 0
while cnt < len(self.symbol):
letter = self.symbol[cnt]
if letter >= 'A' or letter <= 'Z':
l = ord(letter)
rslt |= (UInt64(l) << (8 * (cnt + 1)))
else:
raise ValueError("{} contains an invalid symbol. Must be [A-Z].".format(self.symbol))
cnt += 1
rslt |= UInt64(self.precision)
return INRBuffer(UInt64(rslt)).encode()
def encode(self):
''' '''
power = '1'.ljust(self.precision + len('1'), '0')
amount = INRBuffer(UInt64(self.amount * UInt64(power))).encode()
symbol = self._string_to_symbol()
return '{amount}{symbol}'.format(amount=amount, symbol=symbol)
class AbiType(BaseObject):
def __init__(self, d):
self._validator = AbiTypeSchema()
super(AbiType, self).__init__(d)
def encode(self):
new_type_name = self._encode_buffer(self.new_type_name)
type = self._encode_buffer(self.type)
return '{}{}'.format(new_type_name, type)
class AbiStructField(BaseObject):
def __init__(self, d):
self._validator = AbiStructFieldSchema()
super(AbiStructField, self).__init__(d)
def encode(self):
name = self._encode_buffer(self.name)
type = self._encode_buffer(self.type)
return '{}{}'.format(name, type)
class AbiStruct(BaseObject):
def __init__(self, d):
self._validator = AbiStructSchema()
super(AbiStruct, self).__init__(d)
self.fields = self._create_obj_array(self.fields, AbiStructField)
def encode(self):
name = self._encode_buffer(self.name)
base = self._encode_buffer(self.base)
fields = self._encode_buffer(self.fields)
return '{}{}{}'.format(name, base, fields)
class AbiAction(BaseObject):
def __init__(self, d):
self._validator = AbiActionSchema()
super(AbiAction, self).__init__(d)
def encode(self):
name = self._encode_buffer(Name(self.name))
type = self._encode_buffer(self.type)
ricardian_contract = self._encode_buffer(self.ricardian_contract)
return '{}{}{}'.format(name, type, ricardian_contract)
class AbiTable(BaseObject):
def __init__(self, d):
self._validator = AbiTableSchema()
super(AbiTable, self).__init__(d)
def encode(self):
name = self._encode_buffer(Name(self.name))
index_type = self._encode_buffer(self.index_type)
key_names = self._encode_buffer(self.key_names)
key_types = self._encode_buffer(self.key_types)
type = self._encode_buffer(self.type)
return '{}{}{}{}{}'.format(name, index_type, key_names, key_types, type)
class AbiRicardianClauses(BaseObject):
def __init__(self, d):
self._validator = AbiRicardianClauseSchema()
super(AbiRicardianClauses, self).__init__(d)
def encode(self):
id = self._encode_buffer(self.id)
body = self._encode_buffer(self.body)
return '{}{}'.format(id, body)
class AbiErrorMessages(BaseObject):
# TODO implement encode
def __init__(self, d):
self._validator = AbiErrorMessagesSchema()
super(AbiErrorMessages, self).__init__(d)
def encode():
raise NotImplementedError
class AbiExtensions(BaseObject):
# TODO implement encode
def __init__(self, d):
self._validator = AbiExtensionsSchema()
super(AbiExtensions, self).__init__(d)
def encode():
raise NotImplementedError
class AbiVariants(BaseObject):
# TODO implement encode
def __init__(self, d):
self._validator = AbiVariantsSchema()
super(AbiVariants, self).__init__(d)
def encode():
raise NotImplementedError
class Abi(BaseObject):
_abi_map = {
# name
'name': Name(),
'string': str(),
# numbers
'bool': Byte(),
'uint8': Byte(),
'uint16': UInt16(),
'uint32': UInt32(),
'uint64': UInt64(),
'int8': Byte(), # NotImplemented
'int16': Int16(), # NotImplemented
'int32': Int32(), # NotImplemented
'int64': Int64(), # NotImplemented
'float64': Float(), # NotImplemented
# 'varuint32': VarUInt # NotImplemented
# complex
'asset': Asset("1.0000 INR"),
# 'checksum256': str, # NotImplemented
# 'block_timestamp_type': UInt64, # NotImplemented
# 'time_point': UInt64, # NotImplemented
# 'connector': str, # NotImplemented
# 'public_key': str, # NotImplemented
# 'authority': str, # NotImplemented
# 'block_header': str, # NotImplemented
# 'bytes': str, # NotImplemented
# 'permission_level': str, # NotImplemented
# 'permission_level_weight': str, #NotImplemented
}
def __init__(self, d):
''' '''
self._validator = AbiSchema()
super(Abi, self).__init__(d)
self.types = self._create_obj_array(self.types, AbiType)
self.structs = self._create_obj_array(self.structs, AbiStruct)
self.actions = self._create_obj_array(self.actions, AbiAction)
self.tables = self._create_obj_array(self.tables, AbiTable)
self.ricardian_clauses = self._create_obj_array(self.ricardian_clauses, AbiRicardianClauses)
self.error_messages = self._create_obj_array(self.error_messages, AbiErrorMessages)
self.abi_extensions = self._create_obj_array(self.abi_extensions, AbiExtensions)
self.variants = self._create_obj_array(self.variants, AbiVariants)
def get_action(self, name):
''' '''
for act in self.actions:
if act.name == name:
return act
raise INRUnknownObj('{} is not a valid action for this contract'.format(name))
def get_actions(self):
actions = []
for act in self.actions:
actions.append(act.name)
return actions
def get_struct(self, name):
''' '''
for struct in self.structs:
if struct.name == name:
return struct
raise INRUnknownObj('{} is not a valid struct for this contract'.format(name))
def get_action_parameters(self, name):
''' '''
parameters = OrderedDict()
# get the struct
struct = self.get_struct(name)
for field in struct.fields:
f = field.type.strip('[]')
if(f in self._abi_map):
field_type = self._abi_map[f]
# check if the field is a list
if '[]' in field.type:
field_type = [field_type]
parameters[field.name] = field_type
else:
raise INRUnknownObj("{} is not a known abi type".format(field.type))
return parameters
def get_raw(self):
version = self._encode_buffer(self.version)
# encode types
types = self._encode_buffer(self.types)
structs = self._encode_buffer(self.structs)
actions = self._encode_buffer(self.actions)
tables = self._encode_buffer(self.tables)
ricardian_clauses = self._encode_buffer(self.ricardian_clauses)
error_messages = self._encode_buffer(self.error_messages)
abi_extensions = self._encode_buffer(self.abi_extensions)
variants = self._encode_buffer(self.variants)
return '{}{}{}{}{}{}{}{}{}'.format(version, types, structs, actions, tables,
ricardian_clauses, error_messages, abi_extensions,
variants)
def encode(self):
''' '''
raw_abi = self.get_raw()
# divide by two because it is hex
length = self._encode_buffer(VarUInt(len(raw_abi) / 2))
return length + raw_abi
def json_to_bin(self, name, data):
# act = self.get_action(name)
params = self.get_action_parameters(name)
bin_buffer = ''
for field in data:
# create INRBuffer with value as a type of field
if isinstance(params[field], list):
field_type = type(params[field][0])
arr = []
for f in data[field]:
print(f)
arr.append(field_type(f))
field_buffer = INRBuffer(arr)
else:
field_type = type(params[field])
field_buffer = INRBuffer(field_type(data[field]))
bin_buffer += field_buffer.encode()
return bin_buffer
class Authorization(BaseObject):
def __init__(self, d):
''' '''
# create validator
self._validator = PermissionLevelSchema()
super(Authorization, self).__init__(d)
def encode(self):
''' '''
actor = self._encode_buffer(AccountName(self.actor))
perms = self._encode_buffer(PermissionName(self.permission))
return '{}{}'.format(actor, perms)
class ChainInfo(BaseObject):
def __init__(self, d):
''' '''
self._validator = ChainInfoSchema()
super(ChainInfo, self).__init__(d)
class BlockInfo(BaseObject):
def __init__(self, d):
''' '''
self._validator = BlockInfoSchema()
super(BlockInfo, self).__init__(d)
class Transaction(BaseObject):
def __init__(self, d, chain_info, lib_info):
''' '''
# add defaults
if 'expiration' not in d:
d['expiration'] = str((dt.datetime.utcnow() + dt.timedelta(seconds=30)).replace(tzinfo=pytz.UTC))
if 'ref_block_num' not in d:
d['ref_block_num'] = chain_info['last_irreversible_block_num'] & 0xFFFF
if 'ref_block_prefix' not in d:
d['ref_block_prefix'] = lib_info['ref_block_prefix']
# validate
self._validator = TransactionSchema()
super(Transaction, self).__init__(d)
# parse actions
self.actions = self._create_obj_array(self.actions, Action)
def _encode_hdr(self):
''' '''
# convert
exp_ts = (self.expiration - dt.datetime(1970, 1, 1, tzinfo=self.expiration.tzinfo)).total_seconds()
exp = self._encode_buffer(UInt32(exp_ts))
ref_blk = self._encode_buffer(UInt16(self.ref_block_num & 0xffff))
ref_block_prefix = self._encode_buffer(UInt32(self.ref_block_prefix))
net_usage_words = self._encode_buffer(VarUInt(self.net_usage_words))
max_cpu_usage_ms = self._encode_buffer(Byte(self.max_cpu_usage_ms))
delay_sec = self._encode_buffer(VarUInt(self.delay_sec))
# create hdr buffer
hdr = '{}{}{}{}{}{}'.format(exp, ref_blk, ref_block_prefix, net_usage_words, max_cpu_usage_ms, delay_sec)
return hdr
def encode(self):
''' '''
hdr_buf = self._encode_hdr()
context_actions = self._encode_buffer(self.context_free_actions)
actions = self._encode_buffer(self.actions)
trans_exts = self._encode_buffer(self.transaction_extensions)
return bytearray.fromhex(hdr_buf + context_actions + actions + trans_exts)
def get_id(self):
return sha256(self.encode())
class PackedTransaction:
def __init__(self, trx, ce):
self._cline = ce
self._packed_trx = trx
# empty header
self._is_unpacked = False
self._unpacked_trx = OrderedDict()
def _decode_buffer(self, objType, buf):
''' '''
eBuf = INRBuffer("")
return eBuf.decode(objType, buf)
def _decode_header(self, buf):
''' '''
buf = self._packed_trx
# get expiration buffer
(exp, buf) = self._decode_buffer(UInt32(), buf)
# get expiration in UTC
exp_dt = dt.datetime.utcfromtimestamp(exp)
self._unpacked_trx['expiration'] = exp_dt.strftime("%Y-%m-%dT%H:%M:%S")
# get ref_block
(ref_blk, buf) = self._decode_buffer(UInt16(), buf)
self._unpacked_trx['ref_block_num'] = ref_blk
# get ref_block_prefix
(ref_blk_pre, buf) = self._decode_buffer(UInt32(), buf)
self._unpacked_trx['ref_block_prefix'] = ref_blk_pre
# get net usage
(max_net_usage, buf) = self._decode_buffer(VarUInt(), buf)
self._unpacked_trx['max_net_usage_words'] = max_net_usage
# get cpu usage
(max_cpu_usage, buf) = self._decode_buffer(Byte(), buf)
self._unpacked_trx['max_cpu_usage_ms'] = max_cpu_usage
# get delay sec
(delay_sec, buf) = self._decode_buffer(VarUInt(), buf)
self._unpacked_trx['delay_sec'] = delay_sec
return buf
def decode_actions(self, buf):
''' '''
# get length of action array
actions = []
(length, act_buf) = self._decode_buffer(VarUInt(), buf)
cnt = 0
# loop through array
while cnt < length and length:
# process action account/name
(acct_name, act_buf) = self._decode_buffer(AccountName(), act_buf)
(action_name, act_buf) = self._decode_buffer(ActionName(), act_buf)
# get authorizations
(auth, act_buf) = self.decode_authorizations(act_buf)
# get data length
(hex_data_len, act_buf) = self._decode_buffer(VarUInt(), act_buf)
# get abi information
contract_abi = self._cline.get_abi(acct_name)
abi = Abi(contract_abi["abi"])
abi_act = abi.get_action(action_name)
# temp check need to handle this better
if abi_act["type"] != action_name:
raise INRAbiProcessingError("Error processing the {} action".format(action_name))
abi_struct = abi.get_action_parameters(action_name)
data = OrderedDict()
# save data for hex_data
data_diff = act_buf
for a in abi_struct:
(act_data, act_buf) = self._decode_buffer(abi_struct[a], act_buf)
data[a] = act_data
act = OrderedDict({
'account': acct_name,
'name': action_name,
"authorization": auth,
"data": data,
"hex_data": data_diff.rstrip(act_buf),
})
actions.append(act)
# increment count
cnt += 1
return (actions, act_buf)
def decode_authorizations(self, buf):
''' '''
auths = []
(length, auth_buf) = self._decode_buffer(VarUInt(), buf)
cnt = 0
while cnt < length and length:
# process action account/name
(acct_name, auth_buf) = self._decode_buffer(AccountName(), auth_buf)
(perm, auth_buf) = self._decode_buffer(ActionName(), auth_buf)
auth = OrderedDict({
'actor': acct_name,
'permission': perm,
})
auths.append(auth)
cnt += 1
return (auths, auth_buf)
# placeholder until context_free_actions are implemented. Might be able to use self.decode_actions
def decode_context_actions(self, buf):
''' '''
(length, ctx_buf) = self._decode_buffer(VarUInt(), buf)
if length > 0:
raise NotImplementedError("Currently inerypy does not support context_free_actions")
# get length of action array
return (length, ctx_buf)
# placeholder until context_free_actions are implemented. Might be able to use self.decode_actions
def decode_trx_extensions(self, buf):
''' '''
trx_ext = []
(length, ctx_buf) = self._decode_buffer(VarUInt(), buf)
if length > 0:
raise NotImplementedError("Currently inerypy does not support transaction extensions")
# get length of action array
return (trx_ext, ctx_buf)
def get_id(self):
''' '''
return sha256(bytearray.fromhex(self._packed_trx))
def get_transaction(self):
''' '''
# only unpack once
if not self._is_unpacked:
# decode the header and get the rest of the trx back
trx_buf = self._decode_header(self._packed_trx)
# process list of context free actions
(context_actions, trx_buf) = self.decode_context_actions(trx_buf)
self._unpacked_trx['context_free_actions'] = context_actions
# process actions
(actions, trx_buf) = self.decode_actions(trx_buf)
self._unpacked_trx['actions'] = actions
# process transaction extensions
(trx_ext, trx_buf) = self.decode_trx_extensions(trx_buf)
self._unpacked_trx['transaction_extensions'] = trx_ext
# set boolean
self._is_unpacked = True
return self._unpacked_trx
class INRBuffer:
def __init__(self, v):
self._value = v
self._count = 0
def _decode_number(self, val, format='L'):
byte_val = binascii.unhexlify(val)
return convert_big_endian(byte_val, format)
def _decode_float(self, val, format='f'):
byte_val = binascii.unhexlify(val)
return struct.unpack(">{}".format(format), byte_val)
def _decode_name(self, val, format='Q'):
''' '''
num = self._decode_number(val, format)
return name_to_string(num)
def _decode_str(self, val):
''' '''
# get length
vu = VarUInt()
(length, val) = vu.decode(val)
string = ''
leftover = val
# if there is data parse it
if length > 0:
(str_data, leftover) = self._splice_buf(val, length * 2)
string = binascii.unhexlify(str_data).decode()
return (string, leftover)
def _splice_buf(self, buf, length):
return buf[:length], buf[length:]
def _write_number(self, val, format='q'):
''' '''
le = convert_little_endian(val, format)
return binascii.hexlify(le).decode()
def _write_name(self, w_str):
''' '''
val = string_to_name(w_str)
le = convert_little_endian(val, 'Q')
return binascii.hexlify(le).decode()
def _write_str(self, w_str):
b = bytearray()
length = VarUInt(len(w_str)).encode()
b.extend(map(ord, w_str))
return binascii.hexlify(length + b).decode()
def _write_varuint(self, vuint):
buf = vuint.encode()
return binascii.hexlify(buf).decode()
def decode(self, objType, buf=None):
leftover = ""
if not buf:
buf = self._value
if isinstance(objType, UInt32):
(val, leftover) = self._splice_buf(buf, objType.hex_str_len)
val = self._decode_number(val, 'I')
elif isinstance(objType, UInt16):
(val, leftover) = self._splice_buf(buf, objType.hex_str_len)
val = self._decode_number(val, 'H')
elif isinstance(objType, VarUInt):
(val, leftover) = objType.decode(buf)
elif(isinstance(objType, Byte) or
isinstance(objType, bool)):
(hex_str, leftover) = self._splice_buf(buf, 2)
val = hex_to_int(hex_str)
elif isinstance(objType, Float):
(val, leftover) = self._splice_buf(buf, objType.hex_str_len)
val = self._decode_float(val, 'f')
elif(isinstance(objType, int) or
isinstance(objType, long)):
(val, leftover) = self._splice_buf(buf, objType.hex_str_len)
val = self._decode_number(val, 'q')
elif (isinstance(objType, Name) or
isinstance(objType, AccountName) or
isinstance(objType, PermissionName) or
isinstance(objType, ActionName) or
isinstance(objType, TableName) or
isinstance(objType, ScopeName)):
(val, leftover) = self._splice_buf(buf, objType.hex_str_len)
val = self._decode_name(val)
elif isinstance(objType, str):
(val, leftover) = self._decode_str(buf)
elif(isinstance(objType, list)):
# get count(VarUint)
val = []
(length, leftover) = VarUInt("").decode(buf)
while len(val) < length:
(out, leftover) = self.decode(objType[0], leftover)
val.append(out)
else:
raise INRBufferInvalidType("Cannot decode type: {}".format(type(objType)))
return (val, leftover)
def encode(self, val=None):
if not val:
val = self._value
if (isinstance(val, Name) or
isinstance(val, AccountName) or
isinstance(val, PermissionName) or
isinstance(val, ActionName) or
isinstance(val, TableName) or
isinstance(val, ScopeName)):
val = self._write_name(val)
return val
elif(isinstance(val, str)):
return self._write_str(val)
elif(isinstance(val, Byte) or
isinstance(val, bool)):
# return self._write_number(val, '?')
return int_to_hex(val)
elif(isinstance(val, UInt16)):
return self._write_number(val, 'H')
elif(isinstance(val, UInt32)):
return self._write_number(val, 'I')
elif(isinstance(val, UInt64)):
return self._write_number(val, 'q')
elif(isinstance(val, Float)):
return self._write_number(val, 'f')
elif(isinstance(val, VarUInt)):
# temp encoding
return self._write_varuint(val)
elif(isinstance(val, int) or
isinstance(val, long)):
return self._write_number(val, 'l')
elif(isinstance(val, Action) or
isinstance(val, AbiStruct) or
isinstance(val, AbiStructField) or
isinstance(val, AbiType) or
isinstance(val, AbiAction) or
isinstance(val, AbiTable) or
isinstance(val, AbiRicardianClauses) or
isinstance(val, AbiErrorMessages) or
isinstance(val, AbiExtensions) or
isinstance(val, AbiVariants) or
isinstance(val, Asset) or
isinstance(val, Authorization)):
return val.encode()
elif(isinstance(val, list)):
buf = self._write_varuint(VarUInt(len(val)))
for item in val:
e_item = self.encode(item)
buf = '{}{}'.format(buf, e_item)
return buf
else:
raise INRBufferInvalidType('Cannot encode type: {}'.format(type(val)))
class InvalidKeyFile(Exception):
''' Raised when the key file format is invalid '''
pass
class INRKeyError(Exception):
''' Raised when there is an INRKey error '''
pass
class INRMsigInvalidProposal(Exception):
''' Raised when an invalid proposal is queried'''
pass
class INRBufferInvalidType(Exception):
''' Raised when trying to encode/decode an invalid type '''
pass
class INRInvalidSchema(Exception):
''' Raised when trying to process a schema '''
pass
class INRUnknownObj(Exception):
''' Raised when an object is not found in the ABI '''
pass
class INRAbiProcessingError(Exception):
''' Raised when the abi action cannot be processed '''
pass
class INRSetSameCode(Exception):
''' Raised when the code would not change on a set'''
pass
class INRSetSameAbi(Exception):
''' Raised when the abi would not change on a set'''
pass
def convert_little_endian(buf, format='q'):
''' '''
return struct.pack('<{}'.format(format), buf)
def convert_big_endian(buf, format="I"):
''' '''
# return the first value of the tuple that is returned by unpack
return struct.unpack('<{}'.format(format), buf)[0]
# json encoder
class INREncoder(json.JSONEncoder):
def default(self, o):
if isinstance(o, Action):
return o.__dict__
if isinstance(o, Authorization):
return o.__dict__
if isinstance(o, dt.datetime):
return o.isoformat()
class Name(str):
hex_str_len = 16
class AccountName(Name):
pass
class PermissionName(Name):
pass
class ActionName(Name):
pass
class TableName(Name):
pass
class ScopeName(Name):
pass
class Byte(int):
# length of hex str
hex_str_len = 2
class UInt16(int):
# length of hex str
hex_str_len = 4
class UInt32(int):
# length of hex str
hex_str_len = 8
class UInt64(int):
# length of hex str
hex_str_len = 16
class Int16(int):
# length of hex str
hex_str_len = 4
class Int32(int):
# length of hex str
hex_str_len = 8
class Int64(int):
# length of hex str
hex_str_len = 16
class Float(float):
# length of hex str
hex_str_len = 8
if six.PY3:
class long(int):
pass
class VarUInt:
def __init__(self, val=""):
''' '''
self._val = val
self._b_arr = bytearray()
def _push_byte(self, val):
self._b_arr.append(int(val))
def encode(self):
''' '''
# ensure value is an int
val = int(self._val)
buf = int((val) & 0x7f)
val >>= 7
buf |= (((val > 0) if 1 else 0) << 7)
self._push_byte(buf)
while val:
buf = int((val) & 0x7f)
val >>= 7
buf |= (((val > 0) if 1 else 0) << 7)
self._push_byte(buf)
return self._b_arr
def _pop(self, buf, length):
return buf[:length], buf[length:]
def decode(self, buf):
''' '''
shift = 0
result = 0
while True:
tmp, buf = self._pop(buf, 2)
i = hex_to_int(tmp)
result |= (i & 0x7f) << shift
shift += 7
if not(i & 0x80):
break
return result, buf
class BaseObject(object):
def __init__(self, d):
''' '''
try:
self._obj = self._validator.deserialize(d)
except Invalid:
raise INRInvalidSchema('Unable to process schema for {}'.format(type(self)))
# instantiate the class
for k, v in self._obj.items():
setattr(self, k, v)
# clean up
del self._obj
del self._validator
def __repr__(self):
''' '''
return '{}({})'.format(self.__class__, self.__dict__)
def _encode_buffer(self, value):
''' '''
return INRBuffer(value).encode()
def _create_obj_array(self, arr, class_type):
''' '''
new_arr = []
for item in arr:
new_arr.append(class_type(item))
return new_arr
class Action(BaseObject):
def __init__(self, d):
''' '''
self._validator = ActionSchema()
super(Action, self).__init__(d)
# setup permissions
self.authorization = self._create_obj_array(self.authorization, Authorization)
def encode(self):
''' '''
acct = self._encode_buffer(AccountName(self.account))
name = self._encode_buffer(Name(self.name))
auth = self._encode_buffer(self.authorization)
# need to figure out how to process data
# get length
data_len = self._encode_buffer(VarUInt(len(self.data) / 2))
data = data_len + self.data
return '{}{}{}{}'.format(acct, name, auth, data)
class Asset:
def __init__(self, value, precision=4):
# self.amount = amt
# self.symbol = sym
# self.precision = precision
self.from_string(value)
def __str__(self):
return '{amount:.{precision}f} {symbol}'.format(amount=self.amount, symbol=self.symbol, precision=self.precision)
def __add__(self, other):
if self.symbol != other.symbol:
raise TypeError('Symbols must match: {} != {}', self.symbol, other.symbol)
return Asset(self.amount + other.amount, self.symbol)
def __sub__(self, other):
if self.amount - other.amount < 0:
raise ValueError('Subtraction would result in a negative.')
if self.symbol != other.symbol:
raise TypeError('Symbols must match: {} != {}', self.symbol, other.symbol)
return Asset(self.amount - other.amount, self.symbol)
def from_string(self, s):
splt = s.split()
try:
self.amount = float(splt[0])
self.symbol = splt[1]
self.precision = len(splt[0].split(".")[1])
except IndexError:
raise IndexError('Invalid string format given. Must be in the formst <float> <currency_type>')
def _string_to_symbol(self):
''' '''
rslt = 0
cnt = 0
while cnt < len(self.symbol):
letter = self.symbol[cnt]
if letter >= 'A' or letter <= 'Z':
l = ord(letter)
rslt |= (UInt64(l) << (8 * (cnt + 1)))
else:
raise ValueError("{} contains an invalid symbol. Must be [A-Z].".format(self.symbol))
cnt += 1
rslt |= UInt64(self.precision)
return INRBuffer(UInt64(rslt)).encode()
def encode(self):
''' '''
power = '1'.ljust(self.precision + len('1'), '0')
amount = INRBuffer(UInt64(self.amount * UInt64(power))).encode()
symbol = self._string_to_symbol()
return '{amount}{symbol}'.format(amount=amount, symbol=symbol)
class AbiType(BaseObject):
def __init__(self, d):
self._validator = AbiTypeSchema()
super(AbiTypesSchema, self).__init__(d)
def encode(self):
new_type_name = self._encode_buffer(self.new_type_name)
type = self._encode_buffer(self.type)
return '{}{}'.format(new_type_name, type)
class AbiStructField(BaseObject):
def __init__(self, d):
self._validator = AbiStructFieldSchema()
super(AbiStructField, self).__init__(d)
def encode(self):
name = self._encode_buffer(self.name)
type = self._encode_buffer(self.type)
return '{}{}'.format(name, type)
class AbiStruct(BaseObject):
def __init__(self, d):
self._validator = AbiStructSchema()
super(AbiStruct, self).__init__(d)
self.fields = self._create_obj_array(self.fields, AbiStructField)
def encode(self):
name = self._encode_buffer(self.name)
base = self._encode_buffer(self.base)
fields = self._encode_buffer(self.fields)
return '{}{}{}'.format(name, base, fields)
class AbiAction(BaseObject):
def __init__(self, d):
self._validator = AbiActionSchema()
super(AbiAction, self).__init__(d)
def encode(self):
name = self._encode_buffer(Name(self.name))
type = self._encode_buffer(self.type)
ricardian_contract = self._encode_buffer(self.ricardian_contract)
return '{}{}{}'.format(name, type, ricardian_contract)
class AbiTable(BaseObject):
def __init__(self, d):
self._validator = AbiTableSchema()
super(AbiTable, self).__init__(d)
def encode(self):
name = self._encode_buffer(Name(self.name))
index_type = self._encode_buffer(self.index_type)
key_names = self._encode_buffer(self.key_names)
key_types = self._encode_buffer(self.key_types)
type = self._encode_buffer(self.type)
return '{}{}{}{}{}'.format(name, index_type, key_names, key_types, type)
class AbiRicardianClauses(BaseObject):
def __init__(self, d):
self._validator = AbiRicardianClauseSchema()
super(AbiRicardianClauses, self).__init__(d)
def encode(self):
id = self._encode_buffer(self.id)
body = self._encode_buffer(self.body)
return '{}{}'.format(id, body)
class AbiErrorMessages(BaseObject):
# TODO implement encode
def __init__(self, d):
self._validator = AbiErrorMessagesSchema()
super(AbiErrorMessages, self).__init__(d)
class AbiExtensions(BaseObject):
# TODO implement encode
def __init__(self, d):
self._validator = AbiExtensionsSchema()
super(AbiExtensions, self).__init__(d)
class AbiVariants(BaseObject):
# TODO implement encode
def __init__(self, d):
self._validator = AbiVariantsSchema()
super(AbiVariants, self).__init__(d)
class Abi(BaseObject):
_abi_map = {
# name
'name': Name(),
'string': str(),
# numbers
'bool': Byte(),
'uint8': Byte(),
'uint16': UInt16(),
'uint32': UInt32(),
'uint64': UInt64(),
'int8': Byte(), # NotImplemented
'int16': Int16(), # NotImplemented
'int32': Int32(), # NotImplemented
'int64': Int64(), # NotImplemented
'float64': Float(), # NotImplemented
# 'varuint32': VarUInt # NotImplemented
# complex
'asset': Asset("1.0000 INR"),
# 'checksum256': str, # NotImplemented
# 'block_timestamp_type': UInt64, # NotImplemented
# 'time_point': UInt64, # NotImplemented
# 'connector': str, # NotImplemented
# 'public_key': str, # NotImplemented
# 'authority': str, # NotImplemented
# 'block_header': str, # NotImplemented
# 'bytes': str, # NotImplemented
# 'permission_level': str, # NotImplemented
# 'permission_level_weight': str, #NotImplemented
}
def __init__(self, d):
''' '''
self._validator = AbiSchema()
super(Abi, self).__init__(d)
self.types = self._create_obj_array(self.types, AbiType)
self.structs = self._create_obj_array(self.structs, AbiStruct)
self.actions = self._create_obj_array(self.actions, AbiAction)
self.tables = self._create_obj_array(self.tables, AbiTable)
self.ricardian_clauses = self._create_obj_array(self.ricardian_clauses, AbiRicardianClauses)
self.error_messages = self._create_obj_array(self.error_messages, AbiErrorMessages)
self.abi_extensions = self._create_obj_array(self.abi_extensions, AbiExtensions)
self.variants = self._create_obj_array(self.variants, AbiVariants)
def get_action(self, name):
''' '''
for act in self.actions:
if act.name == name:
return act
raise INRUnknownObj('{} is not a valid action for this contract'.format(name))
def get_actions(self):
actions = []
for act in self.actions:
actions.append(act.name)
return actions
def get_struct(self, name):
''' '''
for struct in self.structs:
if struct.name == name:
return struct
raise INRUnknownObj('{} is not a valid struct for this contract'.format(name))
def get_action_parameters(self, name):
''' '''
parameters = OrderedDict()
# get the struct
struct = self.get_struct(name)
for field in struct.fields:
f = field.type.strip('[]')
if(f in self._abi_map):
field_type = self._abi_map[f]
# check if the field is a list
if '[]' in field.type:
field_type = [field_type]
parameters[field.name] = field_type
else:
raise INRUnknownObj("{} is not a known abi type".format(field.type))
return parameters
def get_raw(self):
version = self._encode_buffer(self.version)
# encode types
types = self._encode_buffer(self.types)
structs = self._encode_buffer(self.structs)
actions = self._encode_buffer(self.actions)
tables = self._encode_buffer(self.tables)
ricardian_clauses = self._encode_buffer(self.ricardian_clauses)
error_messages = self._encode_buffer(self.error_messages)
abi_extensions = self._encode_buffer(self.abi_extensions)
variants = self._encode_buffer(self.variants)
return '{}{}{}{}{}{}{}{}{}'.format(version, types, structs, actions, tables,
ricardian_clauses, error_messages, abi_extensions,
variants)
def encode(self):
''' '''
raw_abi = self.get_raw()
# divide by two because it is hex
length = self._encode_buffer(VarUInt(len(raw_abi) / 2))
return length + raw_abi
def json_to_bin(self, name, data):
# act = self.get_action(name)
params = self.get_action_parameters(name)
bin_buffer = ''
for field in data:
# create INRBuffer with value as a type of field
if isinstance(params[field], list):
field_type = type(params[field][0])
arr = []
for f in data[field]:
print(f)
arr.append(field_type(f))
field_buffer = INRBuffer(arr)
else:
field_type = type(params[field])
field_buffer = INRBuffer(field_type(data[field]))
bin_buffer += field_buffer.encode()
return bin_buffer
class Authorization(BaseObject):
def __init__(self, d):
''' '''
# create validator
self._validator = PermissionLevelSchema()
super(Authorization, self).__init__(d)
def encode(self):
''' '''
actor = self._encode_buffer(AccountName(self.actor))
perms = self._encode_buffer(PermissionName(self.permission))
return '{}{}'.format(actor, perms)
class ChainInfo(BaseObject):
def __init__(self, d):
''' '''
self._validator = ChainInfoSchema()
super(ChainInfo, self).__init__(d)
class BlockInfo(BaseObject):
def __init__(self, d):
''' '''
self._validator = BlockInfoSchema()
super(BlockInfo, self).__init__(d)
class Transaction(BaseObject):
def __init__(self, d, chain_info, lib_info):
''' '''
# add defaults
if 'expiration' not in d:
d['expiration'] = str((dt.datetime.utcnow() + dt.timedelta(seconds=30)).replace(tzinfo=pytz.UTC))
if 'ref_block_num' not in d:
d['ref_block_num'] = chain_info['last_irreversible_block_num'] & 0xFFFF
if 'ref_block_prefix' not in d:
d['ref_block_prefix'] = lib_info['ref_block_prefix']
# validate
self._validator = TransactionSchema()
super(Transaction, self).__init__(d)
# parse actions
self.actions = self._create_obj_array(self.actions, Action)
def _encode_hdr(self):
''' '''
# convert
exp_ts = (self.expiration - dt.datetime(1970, 1, 1, tzinfo=self.expiration.tzinfo)).total_seconds()
exp = self._encode_buffer(UInt32(exp_ts))
ref_blk = self._encode_buffer(UInt16(self.ref_block_num & 0xffff))
ref_block_prefix = self._encode_buffer(UInt32(self.ref_block_prefix))
net_usage_words = self._encode_buffer(VarUInt(self.net_usage_words))
max_cpu_usage_ms = self._encode_buffer(Byte(self.max_cpu_usage_ms))
delay_sec = self._encode_buffer(VarUInt(self.delay_sec))
# create hdr buffer
hdr = '{}{}{}{}{}{}'.format(exp, ref_blk, ref_block_prefix, net_usage_words, max_cpu_usage_ms, delay_sec)
return hdr
def encode(self):
''' '''
hdr_buf = self._encode_hdr()
context_actions = self._encode_buffer(self.context_free_actions)
actions = self._encode_buffer(self.actions)
trans_exts = self._encode_buffer(self.transaction_extensions)
return bytearray.fromhex(hdr_buf + context_actions + actions + trans_exts)
def get_id(self):
return sha256(self.encode())
class PackedTransaction:
def __init__(self, trx, ce):
self._cline = ce
self._packed_trx = trx
# empty header
self._is_unpacked = False
self._unpacked_trx = OrderedDict()
def _decode_buffer(self, objType, buf):
''' '''
eBuf = INRBuffer("")
return eBuf.decode(objType, buf)
def _decode_header(self, buf):
''' '''
buf = self._packed_trx
# get expiration buffer
(exp, buf) = self._decode_buffer(UInt32(), buf)
# get expiration in UTC
exp_dt = dt.datetime.utcfromtimestamp(exp)
self._unpacked_trx['expiration'] = exp_dt.strftime("%Y-%m-%dT%H:%M:%S")
# get ref_block
(ref_blk, buf) = self._decode_buffer(UInt16(), buf)
self._unpacked_trx['ref_block_num'] = ref_blk
# get ref_block_prefix
(ref_blk_pre, buf) = self._decode_buffer(UInt32(), buf)
self._unpacked_trx['ref_block_prefix'] = ref_blk_pre
# get net usage
(max_net_usage, buf) = self._decode_buffer(VarUInt(), buf)
self._unpacked_trx['max_net_usage_words'] = max_net_usage
# get cpu usage
(max_cpu_usage, buf) = self._decode_buffer(Byte(), buf)
self._unpacked_trx['max_cpu_usage_ms'] = max_cpu_usage
# get delay sec
(delay_sec, buf) = self._decode_buffer(VarUInt(), buf)
self._unpacked_trx['delay_sec'] = delay_sec
return buf
def decode_actions(self, buf):
''' '''
# get length of action array
actions = []
(length, act_buf) = self._decode_buffer(VarUInt(), buf)
cnt = 0
# loop through array
while cnt < length and length:
# process action account/name
(acct_name, act_buf) = self._decode_buffer(AccountName(), act_buf)
(action_name, act_buf) = self._decode_buffer(ActionName(), act_buf)
# get authorizations
(auth, act_buf) = self.decode_authorizations(act_buf)
# get data length
(hex_data_len, act_buf) = self._decode_buffer(VarUInt(), act_buf)
# get abi information
contract_abi = self._cline.get_abi(acct_name)
abi = Abi(contract_abi["abi"])
abi_act = abi.get_action(action_name)
# temp check need to handle this better
if abi_act["type"] != action_name:
raise INRAbiProcessingError("Error processing the {} action".format(action_name))
abi_struct = abi.get_action_parameters(action_name)
data = OrderedDict()
# save data for hex_data
data_diff = act_buf
for a in abi_struct:
(act_data, act_buf) = self._decode_buffer(abi_struct[a], act_buf)
data[a] = act_data
act = OrderedDict({
'account': acct_name,
'name': action_name,
"authorization": auth,
"data": data,
"hex_data": data_diff.rstrip(act_buf),
})
actions.append(act)
# increment count
cnt += 1
return (actions, act_buf)
def decode_authorizations(self, buf):
''' '''
auths = []
(length, auth_buf) = self._decode_buffer(VarUInt(), buf)
cnt = 0
while cnt < length and length:
# process action account/name
(acct_name, auth_buf) = self._decode_buffer(AccountName(), auth_buf)
(perm, auth_buf) = self._decode_buffer(ActionName(), auth_buf)
auth = OrderedDict({
'actor': acct_name,
'permission': perm,
})
auths.append(auth)
cnt += 1
return (auths, auth_buf)
def decode_trx_extensions(self, buf):
''' '''
trx_ext = []
(length, ctx_buf) = self._decode_buffer(VarUInt(), buf)
if length > 0:
raise NotImplementedError("Currently inerypy does not support transaction extensions")
# get length of action array
return (trx_ext, ctx_buf)
def get_id(self):
''' '''
return sha256(bytearray.fromhex(self._packed_trx))
def get_transaction(self):
''' '''
# only unpack once
if not self._is_unpacked:
# decode the header and get the rest of the trx back
trx_buf = self._decode_header(self._packed_trx)
# process list of context free actions
(context_actions, trx_buf) = self.decode_context_actions(trx_buf)
self._unpacked_trx['context_free_actions'] = context_actions
# process actions
(actions, trx_buf) = self.decode_actions(trx_buf)
self._unpacked_trx['actions'] = actions
# process transaction extensions
(trx_ext, trx_buf) = self.decode_trx_extensions(trx_buf)
self._unpacked_trx['transaction_extensions'] = trx_ext
# set boolean
self._is_unpacked = True
return self._unpacked_trx
class INRBuffer:
def __init__(self, v):
self._value = v
self._count = 0
def _decode_number(self, val, format='L'):
byte_val = binascii.unhexlify(val)
return convert_big_endian(byte_val, format)
def _decode_float(self, val, format='f'):
byte_val = binascii.unhexlify(val)
return struct.unpack(">{}".format(format), byte_val)
def _decode_name(self, val, format='Q'):
''' '''
num = self._decode_number(val, format)
return name_to_string(num)
def _decode_str(self, val):
''' '''
# get length
vu = VarUInt()
(length, val) = vu.decode(val)
string = ''
leftover = val
# if there is data parse it
if length > 0:
(str_data, leftover) = self._splice_buf(val, length * 2)
string = binascii.unhexlify(str_data).decode()
return (string, leftover)
def _splice_buf(self, buf, length):
return buf[:length], buf[length:]
def _write_number(self, val, format='q'):
''' '''
le = convert_little_endian(val, format)
return binascii.hexlify(le).decode()
def _write_name(self, w_str):
''' '''
val = string_to_name(w_str)
le = convert_little_endian(val, 'Q')
return binascii.hexlify(le).decode()
def _write_str(self, w_str):
b = bytearray()
length = VarUInt(len(w_str)).encode()
b.extend(map(ord, w_str))
return binascii.hexlify(length + b).decode()
def _write_varuint(self, vuint):
buf = vuint.encode()
return binascii.hexlify(buf).decode()
def decode(self, objType, buf=None):
leftover = ""
if not buf:
buf = self._value
if isinstance(objType, UInt32):
(val, leftover) = self._splice_buf(buf, objType.hex_str_len)
val = self._decode_number(val, 'I')
elif isinstance(objType, UInt16):
(val, leftover) = self._splice_buf(buf, objType.hex_str_len)
val = self._decode_number(val, 'H')
elif isinstance(objType, VarUInt):
(val, leftover) = objType.decode(buf)
elif(isinstance(objType, Byte) or
isinstance(objType, bool)):
(hex_str, leftover) = self._splice_buf(buf, 2)
val = hex_to_int(hex_str)
elif isinstance(objType, Float):
(val, leftover) = self._splice_buf(buf, objType.hex_str_len)
val = self._decode_float(val, 'f')
elif(isinstance(objType, int) or
isinstance(objType, long)):
(val, leftover) = self._splice_buf(buf, objType.hex_str_len)
val = self._decode_number(val, 'q')
elif (isinstance(objType, Name) or
isinstance(objType, AccountName) or
isinstance(objType, PermissionName) or
isinstance(objType, ActionName) or
isinstance(objType, TableName) or
isinstance(objType, ScopeName)):
(val, leftover) = self._splice_buf(buf, objType.hex_str_len)
val = self._decode_name(val)
elif isinstance(objType, str):
(val, leftover) = self._decode_str(buf)
elif(isinstance(objType, list)):
# get count(VarUint)
val = []
(length, leftover) = VarUInt("").decode(buf)
while len(val) < length:
(out, leftover) = self.decode(objType[0], leftover)
val.append(out)
else:
raise INRBufferInvalidType("Cannot decode type: {}".format(type(objType)))
return (val, leftover)
def encode(self, val=None):
if not val:
val = self._value
if (isinstance(val, Name) or
isinstance(val, AccountName) or
isinstance(val, PermissionName) or
isinstance(val, ActionName) or
isinstance(val, TableName) or
isinstance(val, ScopeName)):
val = self._write_name(val)
return val
elif(isinstance(val, str)):
return self._write_str(val)
elif(isinstance(val, Byte) or
isinstance(val, bool)):
# return self._write_number(val, '?')
return int_to_hex(val)
elif(isinstance(val, UInt16)):
return self._write_number(val, 'H')
elif(isinstance(val, UInt32)):
return self._write_number(val, 'I')
elif(isinstance(val, UInt64)):
return self._write_number(val, 'q')
elif(isinstance(val, Float)):
return self._write_number(val, 'f')
elif(isinstance(val, VarUInt)):
# temp encoding
return self._write_varuint(val)
elif(isinstance(val, int) or
isinstance(val, long)):
return self._write_number(val, 'l')
elif(isinstance(val, Action) or
isinstance(val, AbiStruct) or
isinstance(val, AbiStructField) or
isinstance(val, AbiType) or
isinstance(val, AbiAction) or
isinstance(val, AbiTable) or
isinstance(val, AbiRicardianClauses) or
isinstance(val, AbiErrorMessages) or
isinstance(val, AbiExtensions) or
isinstance(val, AbiVariants) or
isinstance(val, Asset) or
isinstance(val, Authorization)):
return val.encode()
elif(isinstance(val, list)):
buf = self._write_varuint(VarUInt(len(val)))
for item in val:
e_item = self.encode(item)
buf = '{}{}'.format(buf, e_item)
return buf
else:
raise INRBufferInvalidType('Cannot encode type: {}'.format(type(val))) | PypiClean |
/HoleCardHandicapper-1.2.1.tar.gz/HoleCardHandicapper-1.2.1/holecardhandicapper/model/utils.py | import os
import csv
from holecardhandicapper.model.const import PREFLOP, FLOP, TURN, RIVER
class Utils:
@classmethod
def build_preflop_winrate_table(self):
fpath = self.get_preflop_winrate_data_path()
table = [[0 for j in range(53)] for i in range(53)]
with open(fpath, "rb") as f:
reader = csv.reader(f)
data = []
for id1, id2, win_rate in reader:
id1, id2 = map(int, [id1, id2])
win_rate = float(win_rate)
table[id1][id2] = win_rate
return table
@classmethod
def get_preflop_winrate_data_path(self):
root = self.__get_root_path()
return os.path.join(root, "holecardhandicapper", "model", "data", "preflop_winrate.csv")
@classmethod
def get_model_weights_path(self, street):
if PREFLOP == street:
return self.get_preflop_model_weights_path()
if FLOP == street:
return self.get_flop_model_weights_path()
if TURN == street:
return self.get_turn_model_weights_path()
if RIVER == street:
return self.get_river_model_weights_path()
raise ValueError("Unknown street [ %s ] received." % street)
@classmethod
def get_preflop_model_weights_path(self):
root = self.__get_root_path()
return os.path.join(root, "holecardhandicapper", "model", "weights", "preflop_neuralnet_model_weights.h5")
@classmethod
def get_flop_model_weights_path(self):
root = self.__get_root_path()
return os.path.join(root, "holecardhandicapper", "model", "weights", "flop_cnn_model_weights.h5")
@classmethod
def get_turn_model_weights_path(self):
root = self.__get_root_path()
return os.path.join(root, "holecardhandicapper", "model", "weights", "turn_cnn_model_weights.h5")
@classmethod
def get_river_model_weights_path(self):
root = self.__get_root_path()
return os.path.join(root, "holecardhandicapper", "model", "weights", "river_cnn_model_weights.h5")
@classmethod
def __get_root_path(self):
return os.path.join(os.path.dirname(__file__), "..", "..") | PypiClean |
/HiveNAS-0.1.5-py3-none-any.whl/config/params.py | import sys
sys.path.append('..')
import os
import yaml
from utils import FileHandler
from functools import partial
from tensorflow.keras.optimizers import RMSprop, Adam
from tensorflow.keras.layers import Conv2D, Flatten, MaxPooling2D
from tensorflow.keras.layers import SeparableConv2D, Dense, Dropout
from tensorflow.keras.layers import AveragePooling2D, BatchNormalization, ReLU
class Params:
'''Wrapper for all global operational parameters
and the configuration loader
'''
@staticmethod
def config_form():
'''Facilitates the configuration UI form (for the `Google Colab version \
<https://colab.research.google.com/github/ThunderStruct/HiveNAS/blob/main/colab/HiveNas.ipynb>`_) \
and exports all parameters as a dictionary
Returns:
dict: main global parameters dictionary (locals)
'''
''' Configuration Version (used as filenames) '''
CONFIG_VERSION = 'config_version' #@param {type:"string"}
#@markdown ## ABC Optimizer Parameters
#@markdown ---
''' Optimization problem (NAS or Numerical Benchmarks to test ABC) '''
OPTIMIZATION_OBJECTIVE = 'NAS' #@param ['NAS', 'Sphere_max', 'Sphere_min', 'Rosenbrock']
''' Max trials per Scout (i.e initial Food Source) '''
ABANDONMENT_LIMIT = 3 #@param {type:"slider", min:1, max:50, step:1}
''' Number of bees in the colony (Employees + Onlookers) '''
COLONY_SIZE = 7 #@param {type:"slider", min:1, max:50, step:1}
''' Distribution of Employees to Onlookers, resulting number of EmployeeBees = # of ScoutBees '''
EMPLOYEE_ONLOOKER_RATIO = 0.43 #@param {type:"slider", min:0.1, max:1.0, step:0.05}
''' Number of ABC optimization iterations '''
ITERATIONS_COUNT = 12 #@param {type:"slider", min:1, max:100, step:1}
#@markdown \
#@markdown ## File-Handling Parameters
#@markdown ---
''' Save results every N evaluations (not iterations; iterations * colony_size) '''
RESULTS_SAVE_FREQUENCY = 1 #@param {type:"slider", min:1, max:100, step:1}
'''
Result files base path (path will be created if it does not exist)
A local folder will be created after the CONFIG_VERSION
'''
RESULTS_BASE_PATH = '../res/archived results/' #@param {type:"string"}
''' Training history files sub-path '''
HISTORY_FILES_SUBPATH = 'training_history/' #@param {type:"string"}
''' Enable weights saving for resumed training '''
ENABLE_WEIGHT_SAVING = False #@param {type:"boolean"}
''' Weight files sub-path (ensure that the path exists) '''
WEIGHT_FILES_SUBPATH = 'weights/' #@param {type:"string"}
''' Specifies whether or not to resume from existing results file (if exists)'''
RESUME_FROM_RESULTS_FILE = False #@param {type:'boolean'}
#@markdown \
#@markdown ## NAS Search Space Parameters
#@markdown ---
''' -- NAS Search Space configuration -- '''
#@markdown *( layers & hyperparameters must be defined as partial functions in code )*
''' Number of layers for sampled networks (excludes input/output stems) '''
DEPTH = 5 #@param {type:"slider", min:1, max:10, step:1}
''' Search space operations '''
OPERATIONS = {
'sep5x5_128': partial(SeparableConv2D, filters=128, kernel_size=(5,5), activation='relu', padding='same'),
'sep3x3_128': partial(SeparableConv2D, filters=128, kernel_size=(3,3), activation='relu', padding='same'),
'sep5x5_64': partial(SeparableConv2D, filters=64, kernel_size=(5,5), activation='relu', padding='same'),
'sep3x3_64': partial(SeparableConv2D, filters=64, kernel_size=(3,3), activation='relu', padding='same'),
'sep5x5_32': partial(SeparableConv2D, filters=32, kernel_size=(5,5), activation='relu', padding='same'),
'sep3x3_32': partial(SeparableConv2D, filters=32, kernel_size=(3,3), activation='relu', padding='same'),
'max_pool3x3': partial(MaxPooling2D, pool_size=(3,3), strides=(1,1), padding='same'),
'avg_pool3x3': partial(AveragePooling2D, pool_size=(3,3), strides=(1,1), padding='same'),
'batch_norm': partial(BatchNormalization),
'dropout': partial(Dropout, rate=0.2)
}
''' '''
# Skip-Connections'/Residual Blocks' occurence rate (0.0 = disabled)
RESIDUAL_BLOCKS_RATE = 0.15 #@param {type:"slider", min:0.0, max:1.0, step:0.05}
#@markdown \
#@markdown ## NAS Evaluation Strategy Parameters
#@markdown ---
''' -- NAS Evaluation Strategy configuration -- '''
''' Dataset (classes/inputs are inferred internally) '''
DATASET = 'CIFAR10' #@param ["CIFAR10", "MNIST", "FASHION_MNIST"]
''' Static output stem, added to every candidate '''
OUTPUT_STEM = [
partial(Flatten),
partial(Dropout, rate=0.15),
partial(Dense, units=1024, activation='relu'),
partial(Dropout, rate=0.15),
partial(Dense, units=512, activation='relu')
]
''' Static input stem, added to every candidate '''
INPUT_STEM = [
partial(Conv2D, filters=32, kernel_size=(3,3)),
partial(BatchNormalization),
partial(ReLU)
]
''' Epochs count per candidate network '''
EPOCHS = 5 #@param {type:"slider", min:1, max:25, step:1}
''' Momentum Augmentation epochs (0 = disabled ; overrides ENABLE_WEIGHT_SAVING) '''
MOMENTUM_EPOCHS = 0 #@param {type:"slider", min:0, max:25}
''' Epochs count for the best performing candidate upon full training '''
FULL_TRAIN_EPOCHS = 50 #@param {type:"slider", min:1, max:150, step:1}
'''
Threshold factor (beta) for early-stopping (refer to the TerminateOnThreshold class for details)
1.0 = all networks will be terminated (minimum accuracy = 100%)
0.0 = disable early-stopping, all networks will pass
0.25 = for 10 classes, val_acc > 0.325 at epoch 1 will not be terminated
(tolerance decreased for every subsequent epoch)
'''
TERMINATION_THRESHOLD_FACTOR = 0.0 #@param {type:"slider", min:0.0, max:1.0, step:0.05}
''' Diminishing factor (zeta) for termination threshold over epochs '''
TERMINATION_DIMINISHING_FACTOR = 0.25 #@param {type:"slider", min:0.1, max:1.0, step:0.05}
''' Learning rate (overrides default optimizer lr) '''
LR = 0.001 #@param {type:"slider", min:0.001, max:0.1, step:0.001}
''' Batch size for every candidate evaluation '''
BATCH_SIZE = 128 #@param {type:"slider", min:8, max:256, step:2}
''' Optimizer used for both NAS and full-training methods '''
OPTIMIZER = 'Adam' #@param ["Adam", "RMSprop"]
#@markdown \
#@markdown ## Data Augmentation Parameters
#@markdown ---
'''
Enable affine transformations augmentation
(horizontal/vertical shifts, rotation, etc...)
'''
AFFINE_TRANSFORMATIONS_ENABLED = True #@param {type:"boolean"}
''' Probability of random cutout augmentation occurence (0.0 = disabled) '''
CUTOUT_PROB = 0.8 #@param {type:"slider", min:0.0, max:1.0, step:0.05}
''' Probability of random saturation augmentation occurence (0.0 = disabled) '''
SATURATION_AUG_PROB = 0.75 #@param {type:"slider", min:0.0, max:1.0, step:0.05}
''' Probability of random contrast augmentation occurence (0.0 = disabled) '''
CONTRAST_AUG_PROB = 0.75 #@param {type:"slider", min:0.0, max:1.0, step:0.05}
return locals()
''' Main configuration dict '''
__CONFIG = config_form.__func__()
@staticmethod
def init_from_yaml(path):
'''Initializes the global parameters from a given yaml config file
Args:
path (str): path to yaml configuration file
'''
def param_op_constructor(loader: yaml.SafeLoader, node: yaml.nodes.MappingNode):
'''Constructs NAS Search Space operations (using the custom \
yaml :code:`!Operation` tag)
Args:
loader (:class:`yaml.SafeLoader`): yaml default safe loader
node (:class:`yaml.nodes.MappingNode`): yaml mapping node
Returns:
:class:`functools.partial`: partial function containing the neural operation
'''
# constructs an operation partial function from yaml !Operation tags
op_dict = loader.construct_mapping(node)
op = op_dict['op']
del op_dict['op']
return partial(globals()[op], **op_dict)
def param_tuple_constructor(loader: yaml.SafeLoader, node: yaml.nodes.MappingNode):
'''Constructs a tuple from the standard \
:code:`tag:yaml.org,2002:python/tuple` (:code:`!!python/tuple`) yaml tag
Args:
loader (:class:`yaml.SafeLoader`): yaml default safe loader
node (:class:`yaml.nodes.MappingNode`): yaml mapping node
Returns:
tuple: constructed tuple, \
typically used to define kernel sizes/shapes in yaml
'''
# because for some reason we need an explicit tuple constructor
return tuple(loader.construct_sequence(node))
# register constructors
loader = yaml.SafeLoader
loader.add_constructor(u'tag:yaml.org,2002:python/tuple', param_tuple_constructor)
loader.add_constructor('!Operation', param_op_constructor)
config = FileHandler.load_yaml(path, loader)
if not config:
print(f'\nConfig file ({path}) is either invalid or does not exist.\n\n')
return
for key,val in config.items():
if key not in Params.__CONFIG:
# ensure config file keys are valid and match the hard-coded template
print(f'\nConfig file ({path}) is invalid. Skipping item ({key})... \n\n')
continue
Params.__CONFIG[key] = val
print(f'\nSuccessfully loaded the operational parameters from {path}.\n\n')
@staticmethod
def export_yaml(path, filename, from_formdata=False):
'''Saves the current configurations to the given path as yaml
Args:
path (str): output path to save the yaml config file to
filename (str): output file name
from_formdata (bool, optional): determines whether the export instruction \
originated from the Google Colab UI form or called in code. *When it originates \
from the form, data reload is required to ensure consistency (could be \
altered within the form)*
'''
def param_op_representer(dumper, data):
'''Serializes a partial function into the custom :code:`!Operation` \
yaml tag
Args:
dumper (:class:`yaml.Dumper`): default pyyaml dumper
data (partial): partial function data to be serialized
Returns:
:class:`yaml.nodes.MappingNode`: yaml mapping node representing \
the operation
'''
# serialize partial functions into yaml !Operation
serialized_data = {'op': data.func.__name__}
serialized_data.update(data.keywords)
return dumper.represent_mapping('!Operation', serialized_data, flow_style=True)
def param_tuple_representer(dumper, data):
'''Serializes a tuple into the :code:`tag:yaml.org,2002:python/tuple` \
(:code:`!!python/tuple`) yaml tag
Args:
dumper (:class:`yaml.Dumper`): default pyyaml dumper
data (tuple): tuple data to be serialized
Returns:
:class:`yaml.nodes.MappingNode`: yaml mapping node representing \
the tuple
'''
# serialize tuples into yaml !!python/tuple
return dumper.represent_sequence(u'tag:yaml.org,2002:python/tuple', data, flow_style=True)
# register representers
yaml.add_representer(tuple, param_tuple_representer)
yaml.add_representer(partial, param_op_representer)
yaml.Dumper.ignore_aliases = lambda *args : True
# data source (changing the Colab form does not reflect on the main dict)
data = Params.config_form() if from_formdata else Params.__CONFIG
if FileHandler.export_yaml(data,
path,
filename):
print(f'\nConfiguration file saved successfully to ({os.path.join(path, filename)})!\n\n')
else:
print('\nFailed to save config file!\n\n')
@staticmethod
def search_space_config():
'''Returns the search space config dict
Returns:
dict: dictionary containing the :class:`~core.nas.search_space.NASSearchSpace`-related \
parameters
'''
res = {
'depth': Params['DEPTH'],
'operations': Params['OPERATIONS'],
'residual_blocks_rate': Params['RESIDUAL_BLOCKS_RATE']
}
return res
@staticmethod
def evaluation_strategy_config():
'''Returns the evaluation strategy config dict
Returns:
dict: dictionary containing the :class:`~core.nas.evaluation_strategy.NASEval`-related \
parameters
'''
res = {
'dataset': Params['DATASET'],
'operations': Params['OPERATIONS'],
'output_stem': Params['OUTPUT_STEM'],
'input_stem': Params['INPUT_STEM'],
'epochs': Params['EPOCHS'],
'full_train_epochs': Params['FULL_TRAIN_EPOCHS'],
'lr': Params['LR'],
'batch_size': Params['BATCH_SIZE'],
'optimizer': globals()[Params['OPTIMIZER']],
'termination_threshold_factor': Params['TERMINATION_THRESHOLD_FACTOR'],
'termination_diminishing_factor': Params['TERMINATION_DIMINISHING_FACTOR'],
'momentum_epochs': Params['MOMENTUM_EPOCHS']
}
return res
@staticmethod
def get_results_path():
'''Gets the results path from :code:`RESULTS_BASE_PATH` and :code:`CONFIG_VERSION`
Returns:
str: the joined path to the results directory or :code:`None` if either \
:code:`RESULTS_BASE_PATH` or :code:`CONFIG_VERSION` is invalid
'''
path = os.path.join(Params.__CONFIG['RESULTS_BASE_PATH'],
f'{Params.__CONFIG["CONFIG_VERSION"]}/')
if FileHandler.validate_path(path):
return path
return None
@staticmethod
def get_all_config():
'''Returns all operational parameters
Returns:
dict: returns the dict containing all configurations *(for \
argparsing purposes)*
'''
return Params.__CONFIG
@staticmethod
def set_parameter(key, val):
'''Overrides a default parameter (used by argparser)
Args:
key (str): dictionary key to select parameter
val (any): new value to override default parameter
'''
if key not in Params.__CONFIG or not isinstance(val, type(Params.__CONFIG[key])):
# invalid key or value type
return False
Params.__CONFIG[key] = val
return True
def __class_getitem__(cls, key):
'''Subscript operator definition
*Static class subscripting :code:`__class_getitem__` requires Python 3.7+*
Used as :code:`Params['KEY']`
Args:
key (str): dictionary key to select parameter
Returns:
Any: subscripted parameter from the configuration dictionary
'''
return Params.__CONFIG[key] | PypiClean |
/observations-0.1.4.tar.gz/observations-0.1.4/observations/r/halley_life_table.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import csv
import numpy as np
import os
import sys
from observations.util import maybe_download_and_extract
def halley_life_table(path):
"""Halley's Life Table
In 1693 the famous English astronomer Edmond Halley studied the birth
and death records of the city of Breslau, which had been transmitted to
the Royal Society by Caspar Neumann. He produced a life table showing
the number of people surviving to any age from a cohort born the same
year. He also used his table to compute the price of life annuities.
A data frame with 84 observations on the following 4 variables.
`age`
a numeric vector
`deaths`
number of deaths, *D\_k*, among people of age k, a numeric vector
`number`
size of the population, *P\_k* surviving until this age, a numeric
vector
`ratio`
the ratio *P\_{k+1}/P\_k*, the conditional probability of surviving
until age k + 1 given that one had already reached age k, a numeric
vector
N. Bacaer (2011), "Halley's life table (1693)", Ch 2, pp 5-10. In *A
Short History of Mathematical Population Dynamics*, Springer-Verlag
London, DOI 10.1007/978-0-85729-115-8\_2. Data taken from Table 1.
Args:
path: str.
Path to directory which either stores file or otherwise file will
be downloaded and extracted there.
Filename is `halley_life_table.csv`.
Returns:
Tuple of np.ndarray `x_train` with 84 rows and 4 columns and
dictionary `metadata` of column headers (feature names).
"""
import pandas as pd
path = os.path.expanduser(path)
filename = 'halley_life_table.csv'
if not os.path.exists(os.path.join(path, filename)):
url = 'http://dustintran.com/data/r/HistData/HalleyLifeTable.csv'
maybe_download_and_extract(path, url,
save_file_name='halley_life_table.csv',
resume=False)
data = pd.read_csv(os.path.join(path, filename), index_col=0,
parse_dates=True)
x_train = data.values
metadata = {'columns': data.columns}
return x_train, metadata | PypiClean |
/DJModels-0.0.6-py3-none-any.whl/djmodels/utils/lorem_ipsum.py | import random
COMMON_P = (
'Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod '
'tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim '
'veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea '
'commodo consequat. Duis aute irure dolor in reprehenderit in voluptate '
'velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint '
'occaecat cupidatat non proident, sunt in culpa qui officia deserunt '
'mollit anim id est laborum.'
)
WORDS = (
'exercitationem', 'perferendis', 'perspiciatis', 'laborum', 'eveniet',
'sunt', 'iure', 'nam', 'nobis', 'eum', 'cum', 'officiis', 'excepturi',
'odio', 'consectetur', 'quasi', 'aut', 'quisquam', 'vel', 'eligendi',
'itaque', 'non', 'odit', 'tempore', 'quaerat', 'dignissimos',
'facilis', 'neque', 'nihil', 'expedita', 'vitae', 'vero', 'ipsum',
'nisi', 'animi', 'cumque', 'pariatur', 'velit', 'modi', 'natus',
'iusto', 'eaque', 'sequi', 'illo', 'sed', 'ex', 'et', 'voluptatibus',
'tempora', 'veritatis', 'ratione', 'assumenda', 'incidunt', 'nostrum',
'placeat', 'aliquid', 'fuga', 'provident', 'praesentium', 'rem',
'necessitatibus', 'suscipit', 'adipisci', 'quidem', 'possimus',
'voluptas', 'debitis', 'sint', 'accusantium', 'unde', 'sapiente',
'voluptate', 'qui', 'aspernatur', 'laudantium', 'soluta', 'amet',
'quo', 'aliquam', 'saepe', 'culpa', 'libero', 'ipsa', 'dicta',
'reiciendis', 'nesciunt', 'doloribus', 'autem', 'impedit', 'minima',
'maiores', 'repudiandae', 'ipsam', 'obcaecati', 'ullam', 'enim',
'totam', 'delectus', 'ducimus', 'quis', 'voluptates', 'dolores',
'molestiae', 'harum', 'dolorem', 'quia', 'voluptatem', 'molestias',
'magni', 'distinctio', 'omnis', 'illum', 'dolorum', 'voluptatum', 'ea',
'quas', 'quam', 'corporis', 'quae', 'blanditiis', 'atque', 'deserunt',
'laboriosam', 'earum', 'consequuntur', 'hic', 'cupiditate',
'quibusdam', 'accusamus', 'ut', 'rerum', 'error', 'minus', 'eius',
'ab', 'ad', 'nemo', 'fugit', 'officia', 'at', 'in', 'id', 'quos',
'reprehenderit', 'numquam', 'iste', 'fugiat', 'sit', 'inventore',
'beatae', 'repellendus', 'magnam', 'recusandae', 'quod', 'explicabo',
'doloremque', 'aperiam', 'consequatur', 'asperiores', 'commodi',
'optio', 'dolor', 'labore', 'temporibus', 'repellat', 'veniam',
'architecto', 'est', 'esse', 'mollitia', 'nulla', 'a', 'similique',
'eos', 'alias', 'dolore', 'tenetur', 'deleniti', 'porro', 'facere',
'maxime', 'corrupti',
)
COMMON_WORDS = (
'lorem', 'ipsum', 'dolor', 'sit', 'amet', 'consectetur',
'adipisicing', 'elit', 'sed', 'do', 'eiusmod', 'tempor', 'incididunt',
'ut', 'labore', 'et', 'dolore', 'magna', 'aliqua',
)
def sentence():
"""
Return a randomly generated sentence of lorem ipsum text.
The first word is capitalized, and the sentence ends in either a period or
question mark. Commas are added at random.
"""
# Determine the number of comma-separated sections and number of words in
# each section for this sentence.
sections = [' '.join(random.sample(WORDS, random.randint(3, 12))) for i in range(random.randint(1, 5))]
s = ', '.join(sections)
# Convert to sentence case and add end punctuation.
return '%s%s%s' % (s[0].upper(), s[1:], random.choice('?.'))
def paragraph():
"""
Return a randomly generated paragraph of lorem ipsum text.
The paragraph consists of between 1 and 4 sentences, inclusive.
"""
return ' '.join(sentence() for i in range(random.randint(1, 4)))
def paragraphs(count, common=True):
"""
Return a list of paragraphs as returned by paragraph().
If `common` is True, then the first paragraph will be the standard
'lorem ipsum' paragraph. Otherwise, the first paragraph will be random
Latin text. Either way, subsequent paragraphs will be random Latin text.
"""
paras = []
for i in range(count):
if common and i == 0:
paras.append(COMMON_P)
else:
paras.append(paragraph())
return paras
def words(count, common=True):
"""
Return a string of `count` lorem ipsum words separated by a single space.
If `common` is True, then the first 19 words will be the standard
'lorem ipsum' words. Otherwise, all words will be selected randomly.
"""
word_list = list(COMMON_WORDS) if common else []
c = len(word_list)
if count > c:
count -= c
while count > 0:
c = min(count, len(WORDS))
count -= c
word_list += random.sample(WORDS, c)
else:
word_list = word_list[:count]
return ' '.join(word_list) | PypiClean |
/Cuckoo-2.0.7a1.tar.gz/Cuckoo-2.0.7a1/cuckoo/reporting/mongodb.py |
import gridfs
import os
from cuckoo.common.abstracts import Report
from cuckoo.common.exceptions import CuckooReportError
from cuckoo.common.mongo import mongo
from cuckoo.common.objects import File
class MongoDB(Report):
"""Stores report in MongoDB."""
order = 2
# Mongo schema version, used for data migration.
SCHEMA_VERSION = "1"
db = None
fs = None
@classmethod
def init_once(cls):
if not mongo.init():
return
mongo.connect()
cls.db = mongo.db
cls.fs = mongo.grid
# Set MongoDB schema version.
if "cuckoo_schema" in mongo.collection_names:
version = mongo.db.cuckoo_schema.find_one()["version"]
if version != cls.SCHEMA_VERSION:
raise CuckooReportError(
"Unknown MongoDB version schema version found. Cuckoo "
"doesn't really know how to proceed now.."
)
else:
mongo.db.cuckoo_schema.save({"version": cls.SCHEMA_VERSION})
# Set an unique index on stored files to avoid duplicates. As per the
# pymongo documentation this is basically a no-op if the index already
# exists. So we don't have to do that check ourselves.
mongo.db.fs.files.ensure_index(
"sha256", unique=True, sparse=True, name="sha256_unique"
)
def store_file(self, file_obj, filename=""):
"""Store a file in GridFS.
@param file_obj: object to the file to store
@param filename: name of the file to store
@return: object id of the stored file
"""
if not filename:
filename = file_obj.get_name()
existing = self.db.fs.files.find_one({"sha256": file_obj.get_sha256()})
if existing:
return existing["_id"]
new = self.fs.new_file(filename=filename,
contentType=file_obj.get_content_type(),
sha256=file_obj.get_sha256())
for chunk in file_obj.get_chunks():
new.write(chunk)
try:
new.close()
return new._id
except gridfs.errors.FileExists:
to_find = {"sha256": file_obj.get_sha256()}
return self.db.fs.files.find_one(to_find)["_id"]
def run(self, results):
"""Writes report.
@param results: analysis results dictionary.
@raise CuckooReportError: if fails to connect or write to MongoDB.
"""
# Create a copy of the dictionary. This is done in order to not modify
# the original dictionary and possibly compromise the following
# reporting modules.
report = dict(results)
if "network" not in report:
report["network"] = {}
# This will likely hardcode the cuckoo.log to this point, but that
# should be fine.
if report.get("debug"):
report["debug"]["cuckoo"] = list(report["debug"]["cuckoo"])
# Store path of the analysis path.
report["info"]["analysis_path"] = self.analysis_path
# Store the sample in GridFS.
if results.get("info", {}).get("category") == "file" and "target" in results:
sample = File(self.file_path)
if sample.valid():
fname = results["target"]["file"]["name"]
sample_id = self.store_file(sample, filename=fname)
report["target"] = {"file_id": sample_id}
report["target"].update(results["target"])
# Store the PCAP file in GridFS and reference it back in the report.
pcap_path = os.path.join(self.analysis_path, "dump.pcap")
pcap = File(pcap_path)
if pcap.valid():
pcap_id = self.store_file(pcap)
report["network"]["pcap_id"] = pcap_id
sorted_pcap_path = os.path.join(self.analysis_path, "dump_sorted.pcap")
spcap = File(sorted_pcap_path)
if spcap.valid():
spcap_id = self.store_file(spcap)
report["network"]["sorted_pcap_id"] = spcap_id
mitmproxy_path = os.path.join(self.analysis_path, "dump.mitm")
mitmpr = File(mitmproxy_path)
if mitmpr.valid():
mitmpr_id = self.store_file(mitmpr)
report["network"]["mitmproxy_id"] = mitmpr_id
# Store the process memory dump file and extracted files in GridFS and
# reference it back in the report.
if "procmemory" in report and self.options.get("store_memdump", False):
for idx, procmem in enumerate(report["procmemory"]):
procmem_path = os.path.join(
self.analysis_path, "memory", "%s.dmp" % procmem["pid"]
)
procmem_file = File(procmem_path)
if procmem_file.valid():
procmem_id = self.store_file(procmem_file)
procmem["procmem_id"] = procmem_id
for extracted in procmem.get("extracted", []):
f = File(extracted["path"])
if f.valid():
extracted["extracted_id"] = self.store_file(f)
# Walk through the dropped files, store them in GridFS and update the
# report with the ObjectIds.
new_dropped = []
if "dropped" in report:
for dropped in report["dropped"]:
new_drop = dict(dropped)
drop = File(dropped["path"])
if drop.valid():
dropped_id = self.store_file(drop, filename=dropped["name"])
new_drop["object_id"] = dropped_id
new_dropped.append(new_drop)
report["dropped"] = new_dropped
new_extracted = []
if "extracted" in report:
for extracted in report["extracted"]:
new_extr = dict(extracted)
extr = File(extracted["raw"])
if extr.valid():
extr_id = self.store_file(extr)
new_extr["object_id"] = extr_id
new_extracted.append(new_extr)
report["extracted"] = new_extracted
# Add screenshots.
report["shots"] = []
if os.path.exists(self.shots_path):
# Walk through the files and select the JPGs.
for shot_file in sorted(os.listdir(self.shots_path)):
if not shot_file.endswith(".jpg") or "_" in shot_file:
continue
shot_path = os.path.join(self.shots_path, shot_file)
shot_path_dir = os.path.dirname(shot_path)
shot_file_name, shot_file_ext = os.path.splitext(shot_file)
shot_path_resized = os.path.join(shot_path_dir, "%s_small%s" % (shot_file_name, shot_file_ext))
shot_blob = {}
# If the screenshot path is a valid file, store it and
# reference it back in the report.
if os.path.isfile(shot_path):
shot = File(shot_path)
if shot.valid():
shot_id = self.store_file(shot)
shot_blob["original"] = shot_id
# Try to get the alternative (small) size for this image,
# store it and reference it back in the report.
if os.path.isfile(shot_path_resized):
shot_small = File(shot_path_resized)
if shot_small.valid():
shot_id = self.store_file(shot_small)
shot_blob["small"] = shot_id
if shot_blob:
report["shots"].append(shot_blob)
paginate = self.options.get("paginate", 100)
# Store chunks of API calls in a different collection and reference
# those chunks back in the report. In this way we should defeat the
# issue with the oversized reports exceeding MongoDB's boundaries.
# Also allows paging of the reports.
if "behavior" in report and "processes" in report["behavior"]:
new_processes = []
for process in report["behavior"]["processes"]:
new_process = dict(process)
chunk = []
chunks_ids = []
# Loop on each process call.
for call in process["calls"]:
# If the chunk size is paginate or if the loop is
# completed then store the chunk in MongoDB.
if len(chunk) == paginate:
to_insert = {"pid": process["pid"], "calls": chunk}
chunk_id = self.db.calls.insert(to_insert)
chunks_ids.append(chunk_id)
# Reset the chunk.
chunk = []
# Append call to the chunk.
chunk.append(call)
# Store leftovers.
if chunk:
to_insert = {"pid": process["pid"], "calls": chunk}
chunk_id = self.db.calls.insert(to_insert)
chunks_ids.append(chunk_id)
# Add list of chunks.
new_process["calls"] = chunks_ids
new_processes.append(new_process)
# Store the results in the report.
report["behavior"] = dict(report["behavior"])
report["behavior"]["processes"] = new_processes
if report.get("procmon"):
procmon, chunk = [], []
for entry in report["procmon"]:
if len(chunk) == paginate:
procmon.append(self.db.procmon.insert(chunk))
chunk = []
chunk.append(entry)
if chunk:
procmon.append(self.db.procmon.insert(chunk))
report["procmon"] = procmon
# Store the report and retrieve its object id.
self.db.analysis.save(report) | PypiClean |
/Audit-Alembic-0.1.0.tar.gz/Audit-Alembic-0.1.0/README.rst | ========
Overview
========
.. start-badges
.. list-table::
:stub-columns: 1
* - docs
- |docs|
* - tests
- | |travis| |appveyor| |requires|
| |codecov|
* - package
- | |version| |wheel| |supported-versions| |supported-implementations|
| |commits-since|
.. |docs| image:: https://readthedocs.org/projects/Audit-Alembic/badge/?style=flat
:target: https://readthedocs.org/projects/Audit-Alembic
:alt: Documentation Status
.. |travis| image:: https://travis-ci.org/jpassaro/Audit-Alembic.svg?branch=master
:alt: Travis-CI Build Status
:target: https://travis-ci.org/jpassaro/Audit-Alembic
.. |appveyor| image:: https://ci.appveyor.com/api/projects/status/github/jpassaro/Audit-Alembic?branch=master&svg=true
:alt: AppVeyor Build Status
:target: https://ci.appveyor.com/project/jpassaro/Audit-Alembic
.. |requires| image:: https://requires.io/github/jpassaro/Audit-Alembic/requirements.svg?branch=master
:alt: Requirements Status
:target: https://requires.io/github/jpassaro/Audit-Alembic/requirements/?branch=master
.. |codecov| image:: https://codecov.io/github/jpassaro/Audit-Alembic/coverage.svg?branch=master
:alt: Coverage Status
:target: https://codecov.io/github/jpassaro/Audit-Alembic
.. |version| image:: https://img.shields.io/pypi/v/Audit-Alembic.svg
:alt: PyPI Package latest release
:target: https://pypi.python.org/pypi/Audit-Alembic
.. |commits-since| image:: https://img.shields.io/github/commits-since/jpassaro/Audit-Alembic/v0.1.0.svg
:alt: Commits since latest release
:target: https://github.com/jpassaro/Audit-Alembic/compare/v0.1.0...master
.. |wheel| image:: https://img.shields.io/pypi/wheel/Audit-Alembic.svg
:alt: PyPI Wheel
:target: https://pypi.python.org/pypi/Audit-Alembic
.. |supported-versions| image:: https://img.shields.io/pypi/pyversions/Audit-Alembic.svg
:alt: Supported versions
:target: https://pypi.python.org/pypi/Audit-Alembic
.. |supported-implementations| image:: https://img.shields.io/pypi/implementation/Audit-Alembic.svg
:alt: Supported implementations
:target: https://pypi.python.org/pypi/Audit-Alembic
.. end-badges
An Alembic plugin to keep records of upgrades and downgrades.
* Free software: MIT license
Installation
============
::
pip install Audit-Alembic
Getting started
===============
Quickstart
----------
Add the following lines to your Alembic ``env.py``::
from audit_alembic import Auditor
from myapp import version
Auditor.create(version).setup()
Slightly more involved::
# myapp.py
alembic_auditor = Auditor.create(version, ...)
# env.py
from myapp import alembic_auditor
def run_migrations_offline():
...
context.configure(
...
on_version_apply=alembic_auditor.listen
)
...
def run_migrations_offline():
...
context.configure(
...
on_version_apply=alembic_auditor.listen
)
...
More involved
-------------
These functions create an alembic history table and merely ask
you to specify your application version (though they allow much
else to be customized as well). If you already have a table you
wish to add records to whenever an alembic operation takes place,
and you have a callable that creates a row for that table,
you can instantiate ``Auditor`` directly::
alembic_auditor = Auditor(HistoryTable, HistoryTable.alembic_version_applied)
In this case ``alembic_version_applied`` specifies how to build the row
based on Alembic's ``on_version_apply`` hook.
Customizing not just what data to populate a row with but whehter the row
should appear at all is not currently supported. If you wish to do so, directly
using Alembic's ``on_version_apply`` hook may be a better fit for you.
Documentation
=============
https://Audit-Alembic.readthedocs.io/ (not available yet)
Development
===========
Status
------
The most basic tests, for using Audit-Alembic "correctly", pass for Postgres,
MYSQL, and SQLite as a file. Travis does not appear to support MSSQL or Oracle
so test status for those DB backends is not known.
The next tests that need to be written should get us to 100% code coverage
as well as covering various error cases.
Please feel free to expand from there. See the issues for a list of known
issues to work on.
Testing
-------
To run basic tests::
$ virtualenv venv && source venv/bin/activate
(venv) $ python setup.py install
(venv) $ pip install pytest psycopg2
(venv) $ pytest
To run all tests (i.e. py2 + py3, across all database drivers), run::
$ tox
Also see our `Travis setup <https://travis-ci.org/jpassaro/Audit-Alembic>`_.
Note, to combine the coverage data from all the tox environments run:
.. list-table::
:widths: 10 90
:stub-columns: 1
- - Windows
- ::
set PYTEST_ADDOPTS=--cov-append
tox
- - Other
- ::
PYTEST_ADDOPTS=--cov-append tox
| PypiClean |
/CTFDump-0.3.0.tar.gz/CTFDump-0.3.0/CTFDump.py | import json
import re
import os
import sys
import codecs
import logging
from os import path
from getpass import getpass
from requests import Session
from bs4 import BeautifulSoup
from requests.utils import CaseInsensitiveDict
from urllib.parse import urlparse, urljoin
from argparse import ArgumentParser, ArgumentDefaultsHelpFormatter
from urllib.parse import unquote
__version__ = "0.3.0"
class BadUserNameOrPasswordException(Exception):
pass
class BadTokenException(Exception):
pass
class NotLoggedInException(Exception):
pass
class UnknownFrameworkException(Exception):
pass
class Challenge(object):
def __init__(self, session, url, name, category="", description="", files=None, value=0):
self.url = url
self.name = name
self.value = value
self.session = session
self.category = category
self.description = description
self.logger = logging.getLogger(__name__)
self.files = self.collect_files(files, description)
@staticmethod
def collect_files(files, description=""):
files = files or []
files.extend(re.findall(r"https?://\w+(?:\.\w+)+(?:/[\w._-]+)+", description, re.DOTALL))
return files
@staticmethod
def escape_filename(filename):
return re.sub(r"[^\w\s\-.()]", "", filename.strip())
def download_file(self, url, file_path):
try:
res = self.session.get(url, stream=True)
with open(file_path, 'wb') as f:
for chunk in res.iter_content(chunk_size=1024):
if not chunk:
continue
f.write(chunk)
f.flush()
except Exception as ex:
print(ex)
def dump(self):
# Create challenge directory if not exist
challenge_path = path.join(
self.escape_filename(urlparse(self.url).hostname),
self.escape_filename(self.category),
self.escape_filename(self.name)
)
os.makedirs(challenge_path, exist_ok=True)
with codecs.open(path.join(challenge_path, "ReadMe.md"), "wb", encoding='utf-8') as f:
f.write(f"Name: {self.name}\n")
f.write(f"Value: {self.value}\n")
f.write(f"Description: {self.description}\n")
self.logger.info(f"Creating Challenge [{self.category or 'No Category'}] {self.name}")
for file_url in self.files:
file_path = path.join(challenge_path, self.escape_filename(path.basename(urlparse(file_url).path)))
self.download_file(file_url, file_path)
class CTF(object):
def __init__(self, url):
self.url = url
self.session = Session()
self.logger = logging.getLogger(__name__)
def iter_challenges(self):
raise NotImplementedError()
def login(self, username, password):
raise NotImplementedError()
def logout(self):
self.session.get(urljoin(self.url, "/logout"))
class CTFd(CTF):
def __init__(self, url):
super().__init__(url)
@property
def version(self):
# CTFd >= v2
res = self.session.get(urljoin(self.url, "/api/v1/challenges"))
if res.status_code == 403:
# Unknown (Not logged In)
return -1
if res.status_code != 404:
return 2
# CTFd >= v1.2
res = self.session.get(urljoin(self.url, "/chals"))
if res.status_code == 403:
# Unknown (Not logged In)
return -1
if 'description' not in res.json()['game'][0]:
return 1
# CTFd <= v1.1
return 0
def __get_nonce(self):
res = self.session.get(urljoin(self.url, "/login"))
html = BeautifulSoup(res.text, 'html.parser')
return html.find("input", {'type': 'hidden', 'name': 'nonce'}).get("value")
def login(self, username, password):
next_url = '/challenges'
res = self.session.post(
url=urljoin(self.url, "/login"),
params={'next': next_url},
data={
'name': username,
'password': password,
'nonce': self.__get_nonce()
}
)
if res.ok and urlparse(res.url).path == next_url:
return True
return False
def __get_file_url(self, file_name):
if not file_name.startswith('/files/'):
file_name = f"/files/{file_name}"
return urljoin(self.url, file_name)
def __iter_challenges(self):
version = self.version
if version < 0:
raise NotLoggedInException()
if version >= 2:
res_json = self.session.get(urljoin(self.url, "/api/v1/challenges")).json()
challenges = res_json['data']
for challenge in challenges:
challenge_json = self.session.get(urljoin(self.url, f"/api/v1/challenges/{challenge['id']}")).json()
yield challenge_json['data']
return
res_json = self.session.get(urljoin(self.url, "/chals")).json()
challenges = res_json['game']
for challenge in challenges:
if version >= 1:
yield self.session.get(urljoin(self.url, f"/chals/{challenge['id']}")).json()
continue
yield challenge
def iter_challenges(self):
for challenge in self.__iter_challenges():
yield Challenge(
session=self.session, url=self.url,
name=challenge['name'], category=challenge['category'],
description=challenge['description'],
files=list(map(self.__get_file_url, challenge.get('files', [])))
)
class rCTF(CTF):
def __init__(self, url):
super().__init__(url)
self.BarerToken = ''
@staticmethod
def __get_file_url(file_info):
return file_info['url']
def login(self, team_token, **kwargs):
team_token = unquote(team_token)
headers = {
'Content-type': 'application/json',
'Accept': 'application/json'
}
res = self.session.post(
url=urljoin(self.url, "/api/v1/auth/login"),
headers=headers,
data=json.dumps({
'teamToken': team_token
})
)
if res.ok:
self.BarerToken = json.loads(res.content)['data']['authToken']
return True
return False
def __iter_challenges(self):
headers = {
'Content-type': 'application/json',
'Accept': 'application/json',
'Authorization': 'Bearer {}'.format(self.BarerToken)
}
res_json = self.session.get(urljoin(self.url, "/api/v1/challs"), headers=headers).json()
challenges = res_json['data']
for challenge in challenges:
yield challenge
def iter_challenges(self):
for challenge in self.__iter_challenges():
yield Challenge(
session=self.session, url=self.url,
name=challenge['name'], category=challenge['category'],
description=challenge['description'], value=challenge['points'],
files=list(map(self.__get_file_url, challenge.get('files', [])))
)
def get_credentials(username=None, password=None):
username = username or os.environ.get('CTF_USERNAME', input('User/Email: '))
password = password or os.environ.get('CTF_PASSWORD', getpass('Password: ', stream=False))
return username, password
CTFs = CaseInsensitiveDict(data={
"CTFd": CTFd,
"rCTF": rCTF
})
def main(args=None):
if args is None:
args = sys.argv[1:]
parser = ArgumentParser(formatter_class=ArgumentDefaultsHelpFormatter)
parser.add_argument("-v", "--version", action="version", version="%(prog)s {ver}".format(ver=__version__))
parser.add_argument("url",
help="ctf url (for example: https://demo.ctfd.io/)")
parser.add_argument("-c", "--ctf-platform",
choices=CTFs,
help="ctf platform",
default="CTFd")
parser.add_argument("-n", "--no-login",
action="store_true",
help="login is not needed")
parser.add_argument("-u", "--username",
help="username")
parser.add_argument("-p", "--password",
help="password")
parser.add_argument("-t", "--token",
help="team token for rCTF")
sys_args = vars(parser.parse_args(args=args))
# Configure Logger
logging.basicConfig(level=logging.INFO,
format='%(asctime)s %(levelname)s %(message)s',
datefmt='%d-%m-%y %H:%M:%S')
ctf = CTFs.get(sys_args['ctf_platform'])(sys_args['url'])
if sys_args['ctf_platform'] == 'rCTF':
if not ctf.login(sys_args['token']):
raise BadTokenException()
elif not sys_args['no_login'] or not os.environ.get('CTF_NO_LOGIN'):
if not ctf.login(*get_credentials(sys_args['username'], sys_args['password'])):
raise BadUserNameOrPasswordException()
for challenge in ctf.iter_challenges():
challenge.dump()
if not sys_args['no_login'] or not os.environ.get('CTF_NO_LOGIN'):
ctf.logout()
if __name__ == '__main__':
main() | PypiClean |
/HalRing-2.0.4-py3-none-any.whl/halring/crypto/halring_crypt.py | import base64
# from crypto.Cipher import AES
from crypto.Cipher import AES
'''
Crypt Util
Author: rzzhou
'''
class CryptUtil(object):
"""
AES加解密
"""
# 密钥(key), 偏移量(vi)
def __init__(self, args=None):
self.BLOCK_SIZE = 16
self.pad = lambda s: s + (self.BLOCK_SIZE - len(s) % self.BLOCK_SIZE) * chr(
self.BLOCK_SIZE - len(s) % self.BLOCK_SIZE)
self.unpad = lambda s: s[:-ord(s[len(s) - 1:])]
if args is None:
self.tool_vi = "This_is_t00l_vi="
else:
self.tool_vi = args
'''
encypt
@:param 密码
'''
def AES_Encrypt(self, data, key=None):
"""
加密
:param data: 待加密数据
:param key: 加密秘钥
:return: 加密结果
"""
self._KEY = key
if self._KEY is None:
self._KEY = "@Default_Key2020"
if len(str(self.tool_vi)) == self.BLOCK_SIZE and len(str(self._KEY)) == self.BLOCK_SIZE:
data = self.pad(data)
cipher = AES.new(self._KEY.encode('utf8'), AES.MODE_CBC, self.tool_vi.encode('utf8'))
encryptedbytes = cipher.encrypt(data.encode('utf8'))
encodestrs = base64.b64encode(encryptedbytes)
# 对byte字符串按 utf-8进行解码
enctext = encodestrs.decode('utf8')
else:
enctext = "error"
return enctext
def AES_Decrypt(self, data, key=None):
"""
解密
:param data: 待解密数据
:param key: 解密秘钥
:return: 解密结果
"""
self._KEY = key
if self._KEY is None:
self._KEY = "@Default_Key2020"
if len(str(self.tool_vi)) == self.BLOCK_SIZE and len(str(key)) == self.BLOCK_SIZE:
data = data.encode('utf8')
encodebytes = base64.decodebytes(data)
cipher = AES.new(self._KEY.encode('utf8'), AES.MODE_CBC, self.tool_vi.encode('utf8'))
text_decrypted = cipher.decrypt(encodebytes)
text_decrypted = self.unpad(text_decrypted)
text_decrypted = text_decrypted.decode('utf8')
else:
text_decrypted = "error"
return text_decrypted | PypiClean |
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