def VisitLibraryManager(self, library_manager):
local_redocs = []
for block in library_manager.eqnsets \
+ library_manager.libraries:
redoc = MRedocWriterVisitor.build(block)
local_redocs.append(redoc)
title = 'LibraryManager Context'
if library_manager.name:
title += ': %s' % library_manager.name
if library_manager.src_text:
p = Section('Source', VerbatimBlock(library_manager.src_text))
local_redocs = [p] + local_redocs
# Check here;
d = Section(title, local_redocs)
return d
def VisitLibrary(self, library):
format_dim = lambda o: "$%s$"%FormatDimensionality( o.get_dimension() ) if not o.get_dimension().is_dimensionless(allow_non_zero_power_of_ten=False) else "-"
#symbol_format = lambda s:s
#dep_string_indir = lambda s: ",".join( [symbol_format(o.symbol) for o in sorted( set(eqnset.getSymbolDependancicesIndirect(s, include_ass_in_output=False)), key=lambda s:s.symbol ) ] )
#meta_format = lambda s: eqnset.getSymbolMetadata(s) or "-"
#plts = build_figures( eqnset)
return SectionNewPage('Library Summary: %s' % library.name,
Section('Imports'),
Section('Function Definitions',
EquationBlock(*[LatexEqnWriterN().visit(a) for a in library.functiondefs if not isinstance(a, BuiltInFunction)])),
#Section('Symbols', terminal_symbols)
)
def VisitInterface(self, interface, **kwargs):
connections = VerticalColTable(
"Symbol | Type | Value | Dimensions | Dependancies | Metadata",
[
"$%s$ | - | - | - | - | - "
% (p.symbol, ) for p in interface.connections
])
return HierachyScope("Summary of '%s'" % interface.name,
Section('Connections', connections))
def VisitEqnSet(self, eqnset):
format_dim = lambda o: ('$%s$'
% FormatDimensionality(o.get_dimension()) if not o.get_dimension().is_dimensionless(allow_non_zero_power_of_ten=False) else '-'
)
f = LatexEqnWriterN() # FormatTerminalSymbol(self, symbol):
symbol_format = lambda s: f.FormatTerminalSymbol(s)
dep_string_indir = lambda s: ','.join([symbol_format(o.symbol)
for o in
sorted(set(eqnset.getSymbolDependancicesIndirect(s,
include_ass_in_output=False)), key=lambda s: s.symbol)])
meta_format = lambda s: eqnset.getSymbolMetadata(s) or '-'
terminal_symbols = VerticalColTable("Symbol | Type | Value | Dimensions | Dependancies | Metadata",
["$%s$ | Param | - | %s | - | %s " % (symbol_format(p.symbol), format_dim(p), meta_format(p)) for p in eqnset.parameters] +
["$%s$ | Supp | - | %s | - | %s " % (symbol_format(s.symbol), format_dim(s),meta_format(s) ) for s in eqnset.suppliedvalues] +
["$%s$ | Const | %s | %s | - | - " % (symbol_format(s.symbol), s.value, format_dim(s), ) for s in eqnset.symbolicconstants] +
["$%s$ | Assd | - | %s | $\{%s\}$ | %s " % (symbol_format(a.symbol), format_dim(a), dep_string_indir(a), meta_format(a) ) for a in eqnset.assignedvalues] +
["$%s$ | State | - | %s | $\{%s\}$ | %s " % (symbol_format(s.symbol), format_dim(s), dep_string_indir(s), meta_format(s) ) for s in eqnset.states]
)
plts = build_figures( eqnset)
return HierachyScope(
"Summary of '%s'" % eqnset.name,
Section('Assignments',
EquationBlock(*[LatexEqnWriterN().visit(a) for a in
sorted(eqnset.assignments, key=lambda a: \
a.lhs.symbol)])),
Section('State Variable Evolution',
EquationBlock(*[LatexEqnWriterN().visit(a) for a in
eqnset.timederivatives])),
Section('Function Definitions',
EquationBlock(*[LatexEqnWriterN().visit(a) for a in
eqnset.functiondefs if not isinstance(a,
BuiltInFunction)])),
Section('Symbols', terminal_symbols),
Section('Imports'),
Section('Events',
EquationBlock(*[LatexEqnWriterN().visit(a) for a in
eqnset.onevents])),
Section('Plots', *plts),
)
caption='Simulator Support'
)
#A C EREV GLK I VS V.max V.min V[102] V[240:249].mean V[90:99].mean
#10000 1.0 -51 0.3 0 -51 *** MISSING! *** *** MISSING! *** *** MISSING! *** *** MISSING! *** *** MISSING! ***
#10000 1.0 -51 0.3 0 -31 *** MISSING! *** *** MISSING! *** *** MISSING! *** *** MISSING! *** *** MISSING! ***
#10000 1.0 -31 0.3 0 -51 OK -31.000000 (-31.0 [eps:eps: 0.005 ]) OK -51.000000 (-51.0 [eps:eps: 0.005 ]) OK -31.000000 (-31.0 [eps:eps: 0.005 ]) OK -31.000000 (-31.0 [eps:eps: 0.005 ]) OK -31.000000 (-31.0 [eps:eps: 0.005 ])
#10000 1.0 -31 0.3 0 -31 *** MISSING! *** *** MISSING! *** *** MISSING! *** *** MISSING! *** *** MISSING! ***
#10000 1.0 -51 0.3 120 -51 *** MISSING! *** *** MISSING! *** *** MISSING! *** *** MISSING! *** *** MISSING! ***
#10000 1.0 -31 0.3 120 -31 *** MISSING! *** *** MISSING! *** *** MISSING! *** *** MISSING! *** *** MISSING! ***
#10000 1.0 -51 1.3 120 -51 *** MISSING! *** *** MISSING! *** *** MISSING! *** *** MISSING! *** *** MISSING! ***
#10000 1.0 -51 0.3 200 -51 *** MISSING! *** *** MISSING! *** *** MISSING! *** *** MISSING! *** *** MISSING! ***
#10000 1.0 -31 0.3 200 -31 *** MISSING! *** *** MISSING! *** *** MISSING! *** *** MISSING! *** *** MISSING! ***
#10000 1.0 -51 1.3 200 -51 *** MISSING! *** *** MISSING! *** *** MISSING! *** *** MISSING! *** *** MISSING! ***
s = Section('Scenario001 - Response of passive cell to step current injection',
Section('Overview',
Section('Description', VerbatimBlock(code, caption='Machine Readble Desc.') ),
Section('Notes', Paragraph(notes) ),
Section('At a glance', table1 ),
),
)
#s.to_pdf(filename=os.path.expanduser("~/Desktop/f1.pdf"))
s.to_html(output_dir=os.path.expanduser("~/Desktop/test_html_out/"))
#!/usr/bin/python
# -*- coding: utf-8 -*-
import pylab, numpy
from mredoc import Section, Figure, Table
# A simple function that returns a matplotlib Figure
def generate_figure():
fig = pylab.figure()
t = numpy.linspace(0, 10)
pylab.plot(t, numpy.exp(-t) * numpy.sin(10 * t))
return fig
# Create the summary of the simulations
# and write to HTML and LaTeX
summary = Section("My Document",
Section("A Sub-Section",
"This is an introductory paragraph",
Figure( generate_figure(), caption="$e^{-t}*sin(10t)$" ),
Table(['x', '2x'], [('%d' % x, '%d' % (2*x) ) for x in [0, 1, 2, 3]]),
"Some more text describing the results"
)
)
summary.to_pdf( filename="./_output/example1_minimal/pdf/output.pdf")
summary.to_html( output_dir="./_output/example1_minimal/html/")
