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update nbconvert to nbformat 4
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1 """Module containing single call export functions."""
1 """Module containing single call export functions."""
2
2
3 # Copyright (c) IPython Development Team.
3 # Copyright (c) IPython Development Team.
4 # Distributed under the terms of the Modified BSD License.
4 # Distributed under the terms of the Modified BSD License.
5
5
6 from functools import wraps
6 from functools import wraps
7
7
8 from IPython.nbformat.v3.nbbase import NotebookNode
8 from IPython.nbformat.current import NotebookNode
9 from IPython.utils.decorators import undoc
9 from IPython.utils.decorators import undoc
10 from IPython.utils.py3compat import string_types
10 from IPython.utils.py3compat import string_types
11
11
12 from .exporter import Exporter
12 from .exporter import Exporter
13 from .templateexporter import TemplateExporter
13 from .templateexporter import TemplateExporter
14 from .html import HTMLExporter
14 from .html import HTMLExporter
15 from .slides import SlidesExporter
15 from .slides import SlidesExporter
16 from .latex import LatexExporter
16 from .latex import LatexExporter
17 from .pdf import PDFExporter
17 from .pdf import PDFExporter
18 from .markdown import MarkdownExporter
18 from .markdown import MarkdownExporter
19 from .python import PythonExporter
19 from .python import PythonExporter
20 from .rst import RSTExporter
20 from .rst import RSTExporter
21 from .notebook import NotebookExporter
21 from .notebook import NotebookExporter
22
22
23 #-----------------------------------------------------------------------------
23 #-----------------------------------------------------------------------------
24 # Classes
24 # Classes
25 #-----------------------------------------------------------------------------
25 #-----------------------------------------------------------------------------
26
26
27 @undoc
27 @undoc
28 def DocDecorator(f):
28 def DocDecorator(f):
29
29
30 #Set docstring of function
30 #Set docstring of function
31 f.__doc__ = f.__doc__ + """
31 f.__doc__ = f.__doc__ + """
32 nb : :class:`~{nbnode_mod}.NotebookNode`
32 nb : :class:`~{nbnode_mod}.NotebookNode`
33 The notebook to export.
33 The notebook to export.
34 config : config (optional, keyword arg)
34 config : config (optional, keyword arg)
35 User configuration instance.
35 User configuration instance.
36 resources : dict (optional, keyword arg)
36 resources : dict (optional, keyword arg)
37 Resources used in the conversion process.
37 Resources used in the conversion process.
38
38
39 Returns
39 Returns
40 -------
40 -------
41 tuple- output, resources, exporter_instance
41 tuple- output, resources, exporter_instance
42 output : str
42 output : str
43 Jinja 2 output. This is the resulting converted notebook.
43 Jinja 2 output. This is the resulting converted notebook.
44 resources : dictionary
44 resources : dictionary
45 Dictionary of resources used prior to and during the conversion
45 Dictionary of resources used prior to and during the conversion
46 process.
46 process.
47 exporter_instance : Exporter
47 exporter_instance : Exporter
48 Instance of the Exporter class used to export the document. Useful
48 Instance of the Exporter class used to export the document. Useful
49 to caller because it provides a 'file_extension' property which
49 to caller because it provides a 'file_extension' property which
50 specifies what extension the output should be saved as.
50 specifies what extension the output should be saved as.
51
51
52 Notes
52 Notes
53 -----
53 -----
54 WARNING: API WILL CHANGE IN FUTURE RELEASES OF NBCONVERT
54 WARNING: API WILL CHANGE IN FUTURE RELEASES OF NBCONVERT
55 """.format(nbnode_mod=NotebookNode.__module__)
55 """.format(nbnode_mod=NotebookNode.__module__)
56
56
57 @wraps(f)
57 @wraps(f)
58 def decorator(*args, **kwargs):
58 def decorator(*args, **kwargs):
59 return f(*args, **kwargs)
59 return f(*args, **kwargs)
60
60
61 return decorator
61 return decorator
62
62
63
63
64 #-----------------------------------------------------------------------------
64 #-----------------------------------------------------------------------------
65 # Functions
65 # Functions
66 #-----------------------------------------------------------------------------
66 #-----------------------------------------------------------------------------
67
67
68 __all__ = [
68 __all__ = [
69 'export',
69 'export',
70 'export_html',
70 'export_html',
71 'export_custom',
71 'export_custom',
72 'export_slides',
72 'export_slides',
73 'export_latex',
73 'export_latex',
74 'export_pdf',
74 'export_pdf',
75 'export_markdown',
75 'export_markdown',
76 'export_python',
76 'export_python',
77 'export_rst',
77 'export_rst',
78 'export_by_name',
78 'export_by_name',
79 'get_export_names',
79 'get_export_names',
80 'ExporterNameError'
80 'ExporterNameError'
81 ]
81 ]
82
82
83
83
84 class ExporterNameError(NameError):
84 class ExporterNameError(NameError):
85 pass
85 pass
86
86
87 @DocDecorator
87 @DocDecorator
88 def export(exporter, nb, **kw):
88 def export(exporter, nb, **kw):
89 """
89 """
90 Export a notebook object using specific exporter class.
90 Export a notebook object using specific exporter class.
91
91
92 Parameters
92 Parameters
93 ----------
93 ----------
94 exporter : class:`~IPython.nbconvert.exporters.exporter.Exporter` class or instance
94 exporter : class:`~IPython.nbconvert.exporters.exporter.Exporter` class or instance
95 Class type or instance of the exporter that should be used. If the
95 Class type or instance of the exporter that should be used. If the
96 method initializes it's own instance of the class, it is ASSUMED that
96 method initializes it's own instance of the class, it is ASSUMED that
97 the class type provided exposes a constructor (``__init__``) with the same
97 the class type provided exposes a constructor (``__init__``) with the same
98 signature as the base Exporter class.
98 signature as the base Exporter class.
99 """
99 """
100
100
101 #Check arguments
101 #Check arguments
102 if exporter is None:
102 if exporter is None:
103 raise TypeError("Exporter is None")
103 raise TypeError("Exporter is None")
104 elif not isinstance(exporter, Exporter) and not issubclass(exporter, Exporter):
104 elif not isinstance(exporter, Exporter) and not issubclass(exporter, Exporter):
105 raise TypeError("exporter does not inherit from Exporter (base)")
105 raise TypeError("exporter does not inherit from Exporter (base)")
106 if nb is None:
106 if nb is None:
107 raise TypeError("nb is None")
107 raise TypeError("nb is None")
108
108
109 #Create the exporter
109 #Create the exporter
110 resources = kw.pop('resources', None)
110 resources = kw.pop('resources', None)
111 if isinstance(exporter, Exporter):
111 if isinstance(exporter, Exporter):
112 exporter_instance = exporter
112 exporter_instance = exporter
113 else:
113 else:
114 exporter_instance = exporter(**kw)
114 exporter_instance = exporter(**kw)
115
115
116 #Try to convert the notebook using the appropriate conversion function.
116 #Try to convert the notebook using the appropriate conversion function.
117 if isinstance(nb, NotebookNode):
117 if isinstance(nb, NotebookNode):
118 output, resources = exporter_instance.from_notebook_node(nb, resources)
118 output, resources = exporter_instance.from_notebook_node(nb, resources)
119 elif isinstance(nb, string_types):
119 elif isinstance(nb, string_types):
120 output, resources = exporter_instance.from_filename(nb, resources)
120 output, resources = exporter_instance.from_filename(nb, resources)
121 else:
121 else:
122 output, resources = exporter_instance.from_file(nb, resources)
122 output, resources = exporter_instance.from_file(nb, resources)
123 return output, resources
123 return output, resources
124
124
125 exporter_map = dict(
125 exporter_map = dict(
126 custom=TemplateExporter,
126 custom=TemplateExporter,
127 html=HTMLExporter,
127 html=HTMLExporter,
128 slides=SlidesExporter,
128 slides=SlidesExporter,
129 latex=LatexExporter,
129 latex=LatexExporter,
130 pdf=PDFExporter,
130 pdf=PDFExporter,
131 markdown=MarkdownExporter,
131 markdown=MarkdownExporter,
132 python=PythonExporter,
132 python=PythonExporter,
133 rst=RSTExporter,
133 rst=RSTExporter,
134 notebook=NotebookExporter,
134 notebook=NotebookExporter,
135 )
135 )
136
136
137 def _make_exporter(name, E):
137 def _make_exporter(name, E):
138 """make an export_foo function from a short key and Exporter class E"""
138 """make an export_foo function from a short key and Exporter class E"""
139 def _export(nb, **kw):
139 def _export(nb, **kw):
140 return export(E, nb, **kw)
140 return export(E, nb, **kw)
141 _export.__doc__ = """Export a notebook object to {0} format""".format(name)
141 _export.__doc__ = """Export a notebook object to {0} format""".format(name)
142 return _export
142 return _export
143
143
144 g = globals()
144 g = globals()
145
145
146 for name, E in exporter_map.items():
146 for name, E in exporter_map.items():
147 g['export_%s' % name] = DocDecorator(_make_exporter(name, E))
147 g['export_%s' % name] = DocDecorator(_make_exporter(name, E))
148
148
149 @DocDecorator
149 @DocDecorator
150 def export_by_name(format_name, nb, **kw):
150 def export_by_name(format_name, nb, **kw):
151 """
151 """
152 Export a notebook object to a template type by its name. Reflection
152 Export a notebook object to a template type by its name. Reflection
153 (Inspect) is used to find the template's corresponding explicit export
153 (Inspect) is used to find the template's corresponding explicit export
154 method defined in this module. That method is then called directly.
154 method defined in this module. That method is then called directly.
155
155
156 Parameters
156 Parameters
157 ----------
157 ----------
158 format_name : str
158 format_name : str
159 Name of the template style to export to.
159 Name of the template style to export to.
160 """
160 """
161
161
162 function_name = "export_" + format_name.lower()
162 function_name = "export_" + format_name.lower()
163
163
164 if function_name in globals():
164 if function_name in globals():
165 return globals()[function_name](nb, **kw)
165 return globals()[function_name](nb, **kw)
166 else:
166 else:
167 raise ExporterNameError("template for `%s` not found" % function_name)
167 raise ExporterNameError("template for `%s` not found" % function_name)
168
168
169
169
170 def get_export_names():
170 def get_export_names():
171 """Return a list of the currently supported export targets
171 """Return a list of the currently supported export targets
172
172
173 WARNING: API WILL CHANGE IN FUTURE RELEASES OF NBCONVERT"""
173 WARNING: API WILL CHANGE IN FUTURE RELEASES OF NBCONVERT"""
174 return sorted(exporter_map.keys())
174 return sorted(exporter_map.keys())
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@@ -1,177 +1,168 b''
1 {
1 {
2 "metadata": {
2 "cells": [
3 "name": "notebook2"
4 },
5 "nbformat": 3,
6 "nbformat_minor": 0,
7 "worksheets": [
8 {
3 {
9 "cells": [
4 "cell_type": "heading",
5 "level": 1,
6 "metadata": {},
7 "source": [
8 "NumPy and Matplotlib examples"
9 ]
10 },
11 {
12 "cell_type": "markdown",
13 "metadata": {},
14 "source": [
15 "First import NumPy and Matplotlib:"
16 ]
17 },
18 {
19 "cell_type": "code",
20 "metadata": {
21 "collapsed": false
22 },
23 "outputs": [
10 {
24 {
11 "cell_type": "heading",
12 "level": 1,
13 "metadata": {},
25 "metadata": {},
14 "source": [
26 "name": "stdout",
15 "NumPy and Matplotlib examples"
27 "output_type": "stream",
16 ]
28 "text": "\nWelcome to pylab, a matplotlib-based Python environment [backend: module://IPython.kernel.zmq.pylab.backend_inline].\nFor more information, type 'help(pylab)'.\n"
17 },
29 }
30 ],
31 "prompt_number": 1,
32 "source": [
33 "%pylab inline"
34 ]
35 },
36 {
37 "cell_type": "code",
38 "metadata": {
39 "collapsed": false
40 },
41 "outputs": [],
42 "prompt_number": 2,
43 "source": [
44 "import numpy as np"
45 ]
46 },
47 {
48 "cell_type": "markdown",
49 "metadata": {},
50 "source": [
51 "Now we show some very basic examples of how they can be used."
52 ]
53 },
54 {
55 "cell_type": "code",
56 "metadata": {
57 "collapsed": false
58 },
59 "outputs": [],
60 "prompt_number": 6,
61 "source": [
62 "a = np.random.uniform(size=(100,100))"
63 ]
64 },
65 {
66 "cell_type": "code",
67 "metadata": {
68 "collapsed": false
69 },
70 "outputs": [
18 {
71 {
19 "cell_type": "markdown",
20 "metadata": {},
72 "metadata": {},
21 "source": [
73 "output_type": "execute_result",
22 "First import NumPy and Matplotlib:"
74 "prompt_number": 7,
75 "text/plain": [
76 "(100, 100)"
23 ]
77 ]
24 },
78 }
25 {
79 ],
26 "cell_type": "code",
80 "prompt_number": 7,
27 "collapsed": false,
81 "source": [
28 "input": [
82 "a.shape"
29 "%pylab inline"
83 ]
30 ],
84 },
31 "language": "python",
85 {
32 "metadata": {},
86 "cell_type": "code",
33 "outputs": [
87 "metadata": {
34 {
88 "collapsed": false
35 "output_type": "stream",
89 },
36 "stream": "stdout",
90 "outputs": [],
37 "text": [
91 "prompt_number": 8,
38 "\n",
92 "source": [
39 "Welcome to pylab, a matplotlib-based Python environment [backend: module://IPython.kernel.zmq.pylab.backend_inline].\n",
93 "evs = np.linalg.eigvals(a)"
40 "For more information, type 'help(pylab)'.\n"
94 ]
41 ]
95 },
42 }
96 {
43 ],
97 "cell_type": "code",
44 "prompt_number": 1
98 "metadata": {
45 },
99 "collapsed": false
46 {
100 },
47 "cell_type": "code",
101 "outputs": [
48 "collapsed": false,
49 "input": [
50 "import numpy as np"
51 ],
52 "language": "python",
53 "metadata": {},
54 "outputs": [],
55 "prompt_number": 2
56 },
57 {
102 {
58 "cell_type": "markdown",
59 "metadata": {},
103 "metadata": {},
60 "source": [
104 "output_type": "execute_result",
61 "Now we show some very basic examples of how they can be used."
105 "prompt_number": 10,
106 "text/plain": [
107 "(100,)"
62 ]
108 ]
63 },
109 }
64 {
110 ],
65 "cell_type": "code",
111 "prompt_number": 10,
66 "collapsed": false,
112 "source": [
67 "input": [
113 "evs.shape"
68 "a = np.random.uniform(size=(100,100))"
114 ]
69 ],
115 },
70 "language": "python",
116 {
71 "metadata": {},
117 "cell_type": "markdown",
72 "outputs": [],
118 "metadata": {},
73 "prompt_number": 6
119 "source": [
74 },
120 "Here is a cell that has both text and PNG output:"
75 {
121 ]
76 "cell_type": "code",
122 },
77 "collapsed": false,
123 {
78 "input": [
124 "cell_type": "code",
79 "a.shape"
125 "metadata": {
80 ],
126 "collapsed": false
81 "language": "python",
127 },
82 "metadata": {},
128 "outputs": [
83 "outputs": [
84 {
85 "metadata": {},
86 "output_type": "pyout",
87 "prompt_number": 7,
88 "text": [
89 "(100, 100)"
90 ]
91 }
92 ],
93 "prompt_number": 7
94 },
95 {
96 "cell_type": "code",
97 "collapsed": false,
98 "input": [
99 "evs = np.linalg.eigvals(a)"
100 ],
101 "language": "python",
102 "metadata": {},
103 "outputs": [],
104 "prompt_number": 8
105 },
106 {
107 "cell_type": "code",
108 "collapsed": false,
109 "input": [
110 "evs.shape"
111 ],
112 "language": "python",
113 "metadata": {},
114 "outputs": [
115 {
116 "metadata": {},
117 "output_type": "pyout",
118 "prompt_number": 10,
119 "text": [
120 "(100,)"
121 ]
122 }
123 ],
124 "prompt_number": 10
125 },
126 {
129 {
127 "cell_type": "markdown",
128 "metadata": {},
130 "metadata": {},
129 "source": [
131 "output_type": "execute_result",
130 "Here is a cell that has both text and PNG output:"
132 "prompt_number": 14,
133 "text/plain": [
134 "(array([95, 4, 0, 0, 0, 0, 0, 0, 0, 1]),\n",
135 " array([ -2.93566063, 2.35937011, 7.65440086, 12.9494316 ,\n",
136 " 18.24446235, 23.53949309, 28.83452384, 34.12955458,\n",
137 " 39.42458533, 44.71961607, 50.01464682]),\n",
138 " <a list of 10 Patch objects>)"
131 ]
139 ]
132 },
140 },
133 {
141 {
134 "cell_type": "code",
142 "image/png": 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135 "collapsed": false,
136 "input": [
137 "hist(evs.real)"
138 ],
139 "language": "python",
140 "metadata": {},
143 "metadata": {},
141 "outputs": [
144 "output_type": "display_data",
142 {
145 "text/plain": [
143 "metadata": {},
146 "<matplotlib.figure.Figure at 0x108c8f1d0>"
144 "output_type": "pyout",
147 ]
145 "prompt_number": 14,
146 "text": [
147 "(array([95, 4, 0, 0, 0, 0, 0, 0, 0, 1]),\n",
148 " array([ -2.93566063, 2.35937011, 7.65440086, 12.9494316 ,\n",
149 " 18.24446235, 23.53949309, 28.83452384, 34.12955458,\n",
150 " 39.42458533, 44.71961607, 50.01464682]),\n",
151 " <a list of 10 Patch objects>)"
152 ]
153 },
154 {
155 "metadata": {},
156 "output_type": "display_data",
157 "png": 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1zjvvaMuWLerr6/PM/JK0efNmlZWVpS+M8NLslmUpGo3q0KFDisfjkrw1/7p162Tbtrq6\nutTV1SWfz+dq/pwE3ufzadasWX/aHovFVF9fL9u2tWDBAjmOo2QymYuRMuLF6/vnzZunadOmDdkW\nj8fV3NysgoICNTU1jet9mDFjhiorKyVJ06dPV3l5uRKJhKf24eKLL5YkDQwM6Oeff1ZBQYFn5j9x\n4oRef/11rVixIn1hhFdm/9UfL+jw0vz79u3T2rVrNWHCBOXn52vq1Kmu5h/Tz6KJx+MqLS1N3y8p\nKUm/2o4nplzf//v98Pl84/J3/VeOHj2q7u5uVVdXe2ofzp07p4qKChUWFuq+++6Tbduemf+BBx7Q\npk2blJf3WyK8Mrt0/gi+trZWjY2N2r59uyTvzH/ixAkNDg6qpaVFgUBAGzduVCqVcjV/1v7IetNN\nN+nLL7/80/YNGzakz+H90V9dMsl18qPHi5eoJpNJLVmyRO3t7Zo0aZKn9iEvL0+ffPKJjh07psWL\nF2vu3LmemH/Hjh267LLL5Pf7h7y93wuz/+q9997TzJkz1dPTo4aGBlVXV3tm/sHBQfX29mrTpk2q\nq6vTypUr9dJLL7maP2tH8Hv37tWnn376p9vfxV2SAoGADh8+nL5/5MgRVVVVZWukrKmqqtKRI0fS\n97u7u1VTUzOGE7lTVVWlnp4eSVJPT8+4/F3/3tmzZ3X77bdr+fLlCoVCkry3D9L5P/gtXrxYsVjM\nE/O///772r59u6666iotXbpUb731lpYvX+6J2X81c+ZMSVJpaaluueUWvfbaa56Z/5prrlFJSYka\nGho0ceJELV26VLt373Y1f85P0fz+Vai6ulp79uxRf3+/otGo8vLyNHny5FyP9K9Mub4/EAgoEoko\nlUopEomM6xcpx3HU3Nysa6+9VmvWrElv98o+fPPNN/ruu+8kSd9++63eeOMNhUIhT8y/YcMGHT9+\nXF988YW2bdum2tpabd261ROzS9KZM2fSf8v7+uuvtWfPHtXX13tmfkkqLi5WLBbTuXPntHPnTtXV\n1bmb38mBV155xSkqKnImTJjgFBYWOvX19envPfroo87VV1/tlJaWOvv378/FOK5Eo1HH5/M5V199\ntbN58+axHudf3Xnnnc7MmTOdiy66yCkqKnIikYhz+vRp55ZbbnEuv/xyJxQKOclkcqzH/Fvvvvuu\nY1mWU1FR4VRWVjqVlZXOrl27PLMPXV1djt/vd+bMmeMsWrTIefbZZx3HcTwz/6+i0ajT0NDgOI53\nZv/888+diooKp6KiwqmtrXW2bNniOI535nccx/nss8+cQCDgVFRUOA8++KAzMDDgav6c/5usAIDc\n4F90AgBDEXgAMBSBBwBDEXgAMBSBBwBDEXgAMNT/AQKseNIf7mhWAAAAAElFTkSuQmCC\n",
158 "text": [
159 "<matplotlib.figure.Figure at 0x108c8f1d0>"
160 ]
161 }
162 ],
163 "prompt_number": 14
164 },
165 {
166 "cell_type": "code",
167 "collapsed": false,
168 "input": [],
169 "language": "python",
170 "metadata": {},
171 "outputs": []
172 }
148 }
173 ],
149 ],
174 "metadata": {}
150 "prompt_number": 14,
151 "source": [
152 "hist(evs.real)"
153 ]
154 },
155 {
156 "cell_type": "code",
157 "metadata": {
158 "collapsed": false
159 },
160 "outputs": [],
161 "prompt_number": null,
162 "source": []
175 }
163 }
176 ]
164 ],
165 "metadata": {},
166 "nbformat": 4,
167 "nbformat_minor": 0
177 } No newline at end of file
168 }
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@@ -1,84 +1,77 b''
1 {
1 {
2 "metadata": {
2 "cells": [
3 "name": ""
4 },
5 "nbformat": 3,
6 "nbformat_minor": 0,
7 "worksheets": [
8 {
3 {
9 "cells": [
4 "cell_type": "raw",
10 {
5 "metadata": {
11 "cell_type": "raw",
6 "raw_mimetype": "text/html"
12 "metadata": {
7 },
13 "raw_mimetype": "text/html"
8 "source": [
14 },
9 "<b>raw html</b>"
15 "source": [
10 ]
16 "<b>raw html</b>"
11 },
17 ]
12 {
18 },
13 "cell_type": "raw",
19 {
14 "metadata": {
20 "cell_type": "raw",
15 "raw_mimetype": "text/markdown"
21 "metadata": {
16 },
22 "raw_mimetype": "text/markdown"
17 "source": [
23 },
18 "* raw markdown\n",
24 "source": [
19 "* bullet\n",
25 "* raw markdown\n",
20 "* list"
26 "* bullet\n",
21 ]
27 "* list"
22 },
28 ]
23 {
29 },
24 "cell_type": "raw",
30 {
25 "metadata": {
31 "cell_type": "raw",
26 "raw_mimetype": "text/restructuredtext"
32 "metadata": {
27 },
33 "raw_mimetype": "text/restructuredtext"
28 "source": [
34 },
29 "``raw rst``\n",
35 "source": [
30 "\n",
36 "``raw rst``\n",
31 ".. sourcecode:: python\n",
37 "\n",
32 "\n",
38 ".. sourcecode:: python\n",
33 " def foo(): pass\n"
39 "\n",
34 ]
40 " def foo(): pass\n"
35 },
41 ]
36 {
42 },
37 "cell_type": "raw",
43 {
38 "metadata": {
44 "cell_type": "raw",
39 "raw_mimetype": "text/x-python"
45 "metadata": {
40 },
46 "raw_mimetype": "text/x-python"
41 "source": [
47 },
42 "def bar():\n",
48 "source": [
43 " \"\"\"raw python\"\"\"\n",
49 "def bar():\n",
44 " pass"
50 " \"\"\"raw python\"\"\"\n",
45 ]
51 " pass"
46 },
52 ]
47 {
53 },
48 "cell_type": "raw",
54 {
49 "metadata": {
55 "cell_type": "raw",
50 "raw_mimetype": "text/latex"
56 "metadata": {
51 },
57 "raw_mimetype": "text/latex"
52 "source": [
58 },
53 "\\LaTeX\n",
59 "source": [
54 "% raw latex"
60 "\\LaTeX\n",
55 ]
61 "% raw latex"
56 },
62 ]
57 {
63 },
58 "cell_type": "raw",
64 {
59 "metadata": {},
65 "cell_type": "raw",
60 "source": [
66 "metadata": {},
61 "# no raw_mimetype metadata, should be included by default"
67 "source": [
62 ]
68 "# no raw_mimetype metadata, should be included by default"
63 },
69 ]
64 {
70 },
65 "cell_type": "raw",
71 {
66 "metadata": {
72 "cell_type": "raw",
67 "raw_mimetype": "doesnotexist"
73 "metadata": {
68 },
74 "raw_mimetype": "doesnotexist"
69 "source": [
75 },
70 "garbage format defined, should never be included"
76 "source": [
71 ]
77 "garbage format defined, should never be included"
78 ]
79 }
80 ],
81 "metadata": {}
82 }
72 }
83 ]
73 ],
84 }
74 "metadata": {},
75 "nbformat": 4,
76 "nbformat_minor": 0
77 } No newline at end of file
Show file before | Show file after | Hide comments
@@ -1,118 +1,116 b''
1 """Tests for Latex exporter"""
1 """Tests for Latex exporter"""
2
2
3 # Copyright (c) IPython Development Team.
3 # Copyright (c) IPython Development Team.
4 # Distributed under the terms of the Modified BSD License.
4 # Distributed under the terms of the Modified BSD License.
5
5
6 import os.path
6 import os.path
7 import textwrap
7 import textwrap
8 import re
8 import re
9
9
10 from .base import ExportersTestsBase
10 from .base import ExportersTestsBase
11 from ..latex import LatexExporter
11 from ..latex import LatexExporter
12 from IPython.nbformat import current
12 from IPython.nbformat import current
13 from IPython.testing.decorators import onlyif_cmds_exist
13 from IPython.testing.decorators import onlyif_cmds_exist
14 from IPython.utils.tempdir import TemporaryDirectory
14 from IPython.utils.tempdir import TemporaryDirectory
15
15
16
16
17 class TestLatexExporter(ExportersTestsBase):
17 class TestLatexExporter(ExportersTestsBase):
18 """Contains test functions for latex.py"""
18 """Contains test functions for latex.py"""
19
19
20 exporter_class = LatexExporter
20 exporter_class = LatexExporter
21 should_include_raw = ['latex']
21 should_include_raw = ['latex']
22
22
23 def test_constructor(self):
23 def test_constructor(self):
24 """
24 """
25 Can a LatexExporter be constructed?
25 Can a LatexExporter be constructed?
26 """
26 """
27 LatexExporter()
27 LatexExporter()
28
28
29
29
30 @onlyif_cmds_exist('pandoc')
30 @onlyif_cmds_exist('pandoc')
31 def test_export(self):
31 def test_export(self):
32 """
32 """
33 Can a LatexExporter export something?
33 Can a LatexExporter export something?
34 """
34 """
35 (output, resources) = LatexExporter().from_filename(self._get_notebook())
35 (output, resources) = LatexExporter().from_filename(self._get_notebook())
36 assert len(output) > 0
36 assert len(output) > 0
37
37
38
38
39 @onlyif_cmds_exist('pandoc')
39 @onlyif_cmds_exist('pandoc')
40 def test_export_book(self):
40 def test_export_book(self):
41 """
41 """
42 Can a LatexExporter export using 'report' template?
42 Can a LatexExporter export using 'report' template?
43 """
43 """
44 (output, resources) = LatexExporter(template_file='report').from_filename(self._get_notebook())
44 (output, resources) = LatexExporter(template_file='report').from_filename(self._get_notebook())
45 assert len(output) > 0
45 assert len(output) > 0
46
46
47
47
48 @onlyif_cmds_exist('pandoc')
48 @onlyif_cmds_exist('pandoc')
49 def test_export_basic(self):
49 def test_export_basic(self):
50 """
50 """
51 Can a LatexExporter export using 'article' template?
51 Can a LatexExporter export using 'article' template?
52 """
52 """
53 (output, resources) = LatexExporter(template_file='article').from_filename(self._get_notebook())
53 (output, resources) = LatexExporter(template_file='article').from_filename(self._get_notebook())
54 assert len(output) > 0
54 assert len(output) > 0
55
55
56
56
57 @onlyif_cmds_exist('pandoc')
57 @onlyif_cmds_exist('pandoc')
58 def test_export_article(self):
58 def test_export_article(self):
59 """
59 """
60 Can a LatexExporter export using 'article' template?
60 Can a LatexExporter export using 'article' template?
61 """
61 """
62 (output, resources) = LatexExporter(template_file='article').from_filename(self._get_notebook())
62 (output, resources) = LatexExporter(template_file='article').from_filename(self._get_notebook())
63 assert len(output) > 0
63 assert len(output) > 0
64
64
65 @onlyif_cmds_exist('pandoc')
65 @onlyif_cmds_exist('pandoc')
66 def test_very_long_cells(self):
66 def test_very_long_cells(self):
67 """
67 """
68 Torture test that long cells do not cause issues
68 Torture test that long cells do not cause issues
69 """
69 """
70 lorem_ipsum_text = textwrap.dedent("""\
70 lorem_ipsum_text = textwrap.dedent("""\
71 Lorem ipsum dolor sit amet, consectetur adipiscing elit. Donec
71 Lorem ipsum dolor sit amet, consectetur adipiscing elit. Donec
72 dignissim, ipsum non facilisis tempus, dui felis tincidunt metus,
72 dignissim, ipsum non facilisis tempus, dui felis tincidunt metus,
73 nec pulvinar neque odio eget risus. Nulla nisi lectus, cursus
73 nec pulvinar neque odio eget risus. Nulla nisi lectus, cursus
74 suscipit interdum at, ultrices sit amet orci. Mauris facilisis
74 suscipit interdum at, ultrices sit amet orci. Mauris facilisis
75 imperdiet elit, vitae scelerisque ipsum dignissim non. Integer
75 imperdiet elit, vitae scelerisque ipsum dignissim non. Integer
76 consequat malesuada neque sit amet pulvinar. Curabitur pretium
76 consequat malesuada neque sit amet pulvinar. Curabitur pretium
77 ut turpis eget aliquet. Maecenas sagittis lacus sed lectus
77 ut turpis eget aliquet. Maecenas sagittis lacus sed lectus
78 volutpat, eu adipiscing purus pulvinar. Maecenas consequat
78 volutpat, eu adipiscing purus pulvinar. Maecenas consequat
79 luctus urna, eget cursus quam mollis a. Aliquam vitae ornare
79 luctus urna, eget cursus quam mollis a. Aliquam vitae ornare
80 erat, non hendrerit urna. Sed eu diam nec massa egestas pharetra
80 erat, non hendrerit urna. Sed eu diam nec massa egestas pharetra
81 at nec tellus. Fusce feugiat lacus quis urna sollicitudin volutpat.
81 at nec tellus. Fusce feugiat lacus quis urna sollicitudin volutpat.
82 Quisque at sapien non nibh feugiat tempus ac ultricies purus.
82 Quisque at sapien non nibh feugiat tempus ac ultricies purus.
83 """)
83 """)
84 lorem_ipsum_text = lorem_ipsum_text.replace("\n"," ") + "\n\n"
84 lorem_ipsum_text = lorem_ipsum_text.replace("\n"," ") + "\n\n"
85 large_lorem_ipsum_text = "".join([lorem_ipsum_text]*3000)
85 large_lorem_ipsum_text = "".join([lorem_ipsum_text]*3000)
86
86
87 notebook_name = "lorem_ipsum_long.ipynb"
87 notebook_name = "lorem_ipsum_long.ipynb"
88 nb = current.new_notebook(
88 nb = current.new_notebook(
89 worksheets=[
89 cells=[
90 current.new_worksheet(cells=[
90 current.new_markdown_cell(source=large_lorem_ipsum_text)
91 current.new_text_cell('markdown',source=large_lorem_ipsum_text)
92 ])
93 ]
91 ]
94 )
92 )
95
93
96 with TemporaryDirectory() as td:
94 with TemporaryDirectory() as td:
97 nbfile = os.path.join(td, notebook_name)
95 nbfile = os.path.join(td, notebook_name)
98 with open(nbfile, 'w') as f:
96 with open(nbfile, 'w') as f:
99 current.write(nb, f, 'ipynb')
97 current.write(nb, f, 'ipynb')
100
98
101 (output, resources) = LatexExporter(template_file='article').from_filename(nbfile)
99 (output, resources) = LatexExporter(template_file='article').from_filename(nbfile)
102 assert len(output) > 0
100 assert len(output) > 0
103
101
104 @onlyif_cmds_exist('pandoc')
102 @onlyif_cmds_exist('pandoc')
105 def test_prompt_number_color(self):
103 def test_prompt_number_color(self):
106 """
104 """
107 Does LatexExporter properly format input and output prompts in color?
105 Does LatexExporter properly format input and output prompts in color?
108 """
106 """
109 (output, resources) = LatexExporter().from_filename(
107 (output, resources) = LatexExporter().from_filename(
110 self._get_notebook(nb_name="prompt_numbers.ipynb"))
108 self._get_notebook(nb_name="prompt_numbers.ipynb"))
111 in_regex = r"In \[\{\\color\{incolor\}(.*)\}\]:"
109 in_regex = r"In \[\{\\color\{incolor\}(.*)\}\]:"
112 out_regex = r"Out\[\{\\color\{outcolor\}(.*)\}\]:"
110 out_regex = r"Out\[\{\\color\{outcolor\}(.*)\}\]:"
113
111
114 ins = ["2", "10", " ", " ", "*", "0"]
112 ins = ["2", "10", " ", " ", "*", "0"]
115 outs = ["10"]
113 outs = ["10"]
116
114
117 assert re.findall(in_regex, output) == ins
115 assert re.findall(in_regex, output) == ins
118 assert re.findall(out_regex, output) == outs
116 assert re.findall(out_regex, output) == outs
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@@ -1,65 +1,62 b''
1 """Tests for RSTExporter"""
1 """Tests for RSTExporter"""
2
2
3 #-----------------------------------------------------------------------------
3 #-----------------------------------------------------------------------------
4 # Copyright (c) 2013, the IPython Development Team.
4 # Copyright (c) 2013, the IPython Development Team.
5 #
5 #
6 # Distributed under the terms of the Modified BSD License.
6 # Distributed under the terms of the Modified BSD License.
7 #
7 #
8 # The full license is in the file COPYING.txt, distributed with this software.
8 # The full license is in the file COPYING.txt, distributed with this software.
9 #-----------------------------------------------------------------------------
9 #-----------------------------------------------------------------------------
10
10
11 #-----------------------------------------------------------------------------
11 #-----------------------------------------------------------------------------
12 # Imports
12 # Imports
13 #-----------------------------------------------------------------------------
13 #-----------------------------------------------------------------------------
14
14
15 import io
15 import io
16
16
17 from IPython.nbformat import current
17 from IPython.nbformat import current
18
18
19 from .base import ExportersTestsBase
19 from .base import ExportersTestsBase
20 from ..rst import RSTExporter
20 from ..rst import RSTExporter
21 from IPython.testing.decorators import onlyif_cmds_exist
21 from IPython.testing.decorators import onlyif_cmds_exist
22
22
23 #-----------------------------------------------------------------------------
24 # Class
25 #-----------------------------------------------------------------------------
26
23
27 class TestRSTExporter(ExportersTestsBase):
24 class TestRSTExporter(ExportersTestsBase):
28 """Tests for RSTExporter"""
25 """Tests for RSTExporter"""
29
26
30 exporter_class = RSTExporter
27 exporter_class = RSTExporter
31 should_include_raw = ['rst']
28 should_include_raw = ['rst']
32
29
33 def test_constructor(self):
30 def test_constructor(self):
34 """
31 """
35 Can a RSTExporter be constructed?
32 Can a RSTExporter be constructed?
36 """
33 """
37 RSTExporter()
34 RSTExporter()
38
35
39
36
40 @onlyif_cmds_exist('pandoc')
37 @onlyif_cmds_exist('pandoc')
41 def test_export(self):
38 def test_export(self):
42 """
39 """
43 Can a RSTExporter export something?
40 Can a RSTExporter export something?
44 """
41 """
45 (output, resources) = RSTExporter().from_filename(self._get_notebook())
42 (output, resources) = RSTExporter().from_filename(self._get_notebook())
46 assert len(output) > 0
43 assert len(output) > 0
47
44
48 @onlyif_cmds_exist('pandoc')
45 @onlyif_cmds_exist('pandoc')
49 def test_empty_code_cell(self):
46 def test_empty_code_cell(self):
50 """No empty code cells in rst"""
47 """No empty code cells in rst"""
51 nbname = self._get_notebook()
48 nbname = self._get_notebook()
52 with io.open(nbname, encoding='utf8') as f:
49 with io.open(nbname, encoding='utf8') as f:
53 nb = current.read(f, 'json')
50 nb = current.read(f, 'json')
54
51
55 exporter = self.exporter_class()
52 exporter = self.exporter_class()
56
53
57 (output, resources) = exporter.from_notebook_node(nb)
54 (output, resources) = exporter.from_notebook_node(nb)
58 # add an empty code cell
55 # add an empty code cell
59 nb.worksheets[0].cells.append(
56 nb.cells.append(
60 current.new_code_cell(input="")
57 current.new_code_cell(source="")
61 )
58 )
62 (output2, resources) = exporter.from_notebook_node(nb)
59 (output2, resources) = exporter.from_notebook_node(nb)
63 # adding an empty code cell shouldn't change output
60 # adding an empty code cell shouldn't change output
64 self.assertEqual(output.strip(), output2.strip())
61 self.assertEqual(output.strip(), output2.strip())
65
62
Show file before | Show file after | Hide comments
@@ -1,93 +1,92 b''
1 """Base class for preprocessors"""
1 """Base class for preprocessors"""
2
2
3 # Copyright (c) IPython Development Team.
3 # Copyright (c) IPython Development Team.
4 # Distributed under the terms of the Modified BSD License.
4 # Distributed under the terms of the Modified BSD License.
5
5
6 from ..utils.base import NbConvertBase
6 from ..utils.base import NbConvertBase
7 from IPython.utils.traitlets import Bool
7 from IPython.utils.traitlets import Bool
8
8
9
9
10 class Preprocessor(NbConvertBase):
10 class Preprocessor(NbConvertBase):
11 """ A configurable preprocessor
11 """ A configurable preprocessor
12
12
13 Inherit from this class if you wish to have configurability for your
13 Inherit from this class if you wish to have configurability for your
14 preprocessor.
14 preprocessor.
15
15
16 Any configurable traitlets this class exposed will be configurable in
16 Any configurable traitlets this class exposed will be configurable in
17 profiles using c.SubClassName.attribute = value
17 profiles using c.SubClassName.attribute = value
18
18
19 you can overwrite :meth:`preprocess_cell` to apply a transformation
19 you can overwrite :meth:`preprocess_cell` to apply a transformation
20 independently on each cell or :meth:`preprocess` if you prefer your own
20 independently on each cell or :meth:`preprocess` if you prefer your own
21 logic. See corresponding docstring for informations.
21 logic. See corresponding docstring for informations.
22
22
23 Disabled by default and can be enabled via the config by
23 Disabled by default and can be enabled via the config by
24 'c.YourPreprocessorName.enabled = True'
24 'c.YourPreprocessorName.enabled = True'
25 """
25 """
26
26
27 enabled = Bool(False, config=True)
27 enabled = Bool(False, config=True)
28
28
29 def __init__(self, **kw):
29 def __init__(self, **kw):
30 """
30 """
31 Public constructor
31 Public constructor
32
32
33 Parameters
33 Parameters
34 ----------
34 ----------
35 config : Config
35 config : Config
36 Configuration file structure
36 Configuration file structure
37 **kw : misc
37 **kw : misc
38 Additional arguments
38 Additional arguments
39 """
39 """
40
40
41 super(Preprocessor, self).__init__(**kw)
41 super(Preprocessor, self).__init__(**kw)
42
42
43
43
44 def __call__(self, nb, resources):
44 def __call__(self, nb, resources):
45 if self.enabled:
45 if self.enabled:
46 self.log.debug("Applying preprocessor: %s", self.__class__.__name__)
46 self.log.debug("Applying preprocessor: %s", self.__class__.__name__)
47 return self.preprocess(nb,resources)
47 return self.preprocess(nb,resources)
48 else:
48 else:
49 return nb, resources
49 return nb, resources
50
50
51
51
52 def preprocess(self, nb, resources):
52 def preprocess(self, nb, resources):
53 """
53 """
54 Preprocessing to apply on each notebook.
54 Preprocessing to apply on each notebook.
55
55
56 Must return modified nb, resources.
56 Must return modified nb, resources.
57
57
58 If you wish to apply your preprocessing to each cell, you might want
58 If you wish to apply your preprocessing to each cell, you might want
59 to override preprocess_cell method instead.
59 to override preprocess_cell method instead.
60
60
61 Parameters
61 Parameters
62 ----------
62 ----------
63 nb : NotebookNode
63 nb : NotebookNode
64 Notebook being converted
64 Notebook being converted
65 resources : dictionary
65 resources : dictionary
66 Additional resources used in the conversion process. Allows
66 Additional resources used in the conversion process. Allows
67 preprocessors to pass variables into the Jinja engine.
67 preprocessors to pass variables into the Jinja engine.
68 """
68 """
69 for worksheet in nb.worksheets:
69 for index, cell in enumerate(nb.cells):
70 for index, cell in enumerate(worksheet.cells):
70 nb.cells[index], resources = self.preprocess_cell(cell, resources, index)
71 worksheet.cells[index], resources = self.preprocess_cell(cell, resources, index)
72 return nb, resources
71 return nb, resources
73
72
74
73
75 def preprocess_cell(self, cell, resources, index):
74 def preprocess_cell(self, cell, resources, index):
76 """
75 """
77 Override if you want to apply some preprocessing to each cell.
76 Override if you want to apply some preprocessing to each cell.
78 Must return modified cell and resource dictionary.
77 Must return modified cell and resource dictionary.
79
78
80 Parameters
79 Parameters
81 ----------
80 ----------
82 cell : NotebookNode cell
81 cell : NotebookNode cell
83 Notebook cell being processed
82 Notebook cell being processed
84 resources : dictionary
83 resources : dictionary
85 Additional resources used in the conversion process. Allows
84 Additional resources used in the conversion process. Allows
86 preprocessors to pass variables into the Jinja engine.
85 preprocessors to pass variables into the Jinja engine.
87 index : int
86 index : int
88 Index of the cell being processed
87 Index of the cell being processed
89 """
88 """
90
89
91 raise NotImplementedError('should be implemented by subclass')
90 raise NotImplementedError('should be implemented by subclass')
92 return cell, resources
91 return cell, resources
93
92
Show file before | Show file after | Hide comments
@@ -1,77 +1,75 b''
1 """Preprocessor for merging consecutive stream outputs for easier handling."""
1 """Preprocessor for merging consecutive stream outputs for easier handling."""
2
2
3 # Copyright (c) IPython Development Team.
3 # Copyright (c) IPython Development Team.
4 # Distributed under the terms of the Modified BSD License.
4 # Distributed under the terms of the Modified BSD License.
5
5
6 import re
6 import re
7 from IPython.utils.log import get_logger
7
8
8 def cell_preprocessor(function):
9 def cell_preprocessor(function):
9 """
10 """
10 Wrap a function to be executed on all cells of a notebook
11 Wrap a function to be executed on all cells of a notebook
11
12
12 The wrapped function should have these parameters:
13 The wrapped function should have these parameters:
13
14
14 cell : NotebookNode cell
15 cell : NotebookNode cell
15 Notebook cell being processed
16 Notebook cell being processed
16 resources : dictionary
17 resources : dictionary
17 Additional resources used in the conversion process. Allows
18 Additional resources used in the conversion process. Allows
18 preprocessors to pass variables into the Jinja engine.
19 preprocessors to pass variables into the Jinja engine.
19 index : int
20 index : int
20 Index of the cell being processed
21 Index of the cell being processed
21 """
22 """
22
23
23 def wrappedfunc(nb, resources):
24 def wrappedfunc(nb, resources):
24 from IPython.config import Application
25 get_logger().debug(
25 if Application.initialized():
26 Application.instance().log.debug(
27 "Applying preprocessor: %s", function.__name__
26 "Applying preprocessor: %s", function.__name__
28 )
27 )
29 for worksheet in nb.worksheets:
28 for index, cell in enumerate(nb.cells):
30 for index, cell in enumerate(worksheet.cells):
29 nb.cells[index], resources = function(cell, resources, index)
31 worksheet.cells[index], resources = function(cell, resources, index)
32 return nb, resources
30 return nb, resources
33 return wrappedfunc
31 return wrappedfunc
34
32
35 cr_pat = re.compile(r'.*\r(?=[^\n])')
33 cr_pat = re.compile(r'.*\r(?=[^\n])')
36
34
37 @cell_preprocessor
35 @cell_preprocessor
38 def coalesce_streams(cell, resources, index):
36 def coalesce_streams(cell, resources, index):
39 """
37 """
40 Merge consecutive sequences of stream output into single stream
38 Merge consecutive sequences of stream output into single stream
41 to prevent extra newlines inserted at flush calls
39 to prevent extra newlines inserted at flush calls
42
40
43 Parameters
41 Parameters
44 ----------
42 ----------
45 cell : NotebookNode cell
43 cell : NotebookNode cell
46 Notebook cell being processed
44 Notebook cell being processed
47 resources : dictionary
45 resources : dictionary
48 Additional resources used in the conversion process. Allows
46 Additional resources used in the conversion process. Allows
49 transformers to pass variables into the Jinja engine.
47 transformers to pass variables into the Jinja engine.
50 index : int
48 index : int
51 Index of the cell being processed
49 Index of the cell being processed
52 """
50 """
53
51
54 outputs = cell.get('outputs', [])
52 outputs = cell.get('outputs', [])
55 if not outputs:
53 if not outputs:
56 return cell, resources
54 return cell, resources
57
55
58 last = outputs[0]
56 last = outputs[0]
59 new_outputs = [last]
57 new_outputs = [last]
60 for output in outputs[1:]:
58 for output in outputs[1:]:
61 if (output.output_type == 'stream' and
59 if (output.output_type == 'stream' and
62 last.output_type == 'stream' and
60 last.output_type == 'stream' and
63 last.stream == output.stream
61 last.name == output.name
64 ):
62 ):
65 last.text += output.text
63 last.text += output.text
66
64
67 else:
65 else:
68 new_outputs.append(output)
66 new_outputs.append(output)
69 last = output
67 last = output
70
68
71 # process \r characters
69 # process \r characters
72 for output in new_outputs:
70 for output in new_outputs:
73 if output.output_type == 'stream' and '\r' in output.text:
71 if output.output_type == 'stream' and '\r' in output.text:
74 output.text = cr_pat.sub('', output.text)
72 output.text = cr_pat.sub('', output.text)
75
73
76 cell.outputs = new_outputs
74 cell.outputs = new_outputs
77 return cell, resources
75 return cell, resources
Show file before | Show file after | Hide comments
@@ -1,143 +1,134 b''
1 """Module containing a preprocessor that removes the outputs from code cells"""
1 """Module containing a preprocessor that removes the outputs from code cells"""
2
2
3 # Copyright (c) IPython Development Team.
3 # Copyright (c) IPython Development Team.
4 # Distributed under the terms of the Modified BSD License.
4 # Distributed under the terms of the Modified BSD License.
5
5
6 import os
6 import os
7 import sys
7 import sys
8
8
9 try:
9 try:
10 from queue import Empty # Py 3
10 from queue import Empty # Py 3
11 except ImportError:
11 except ImportError:
12 from Queue import Empty # Py 2
12 from Queue import Empty # Py 2
13
13
14 from IPython.utils.traitlets import List, Unicode
14 from IPython.utils.traitlets import List, Unicode
15
15
16 from IPython.nbformat.current import reads, NotebookNode, writes
16 from IPython.nbformat.current import reads, writes, new_output
17 from .base import Preprocessor
17 from .base import Preprocessor
18 from IPython.utils.traitlets import Integer
18 from IPython.utils.traitlets import Integer
19
19
20 class ExecutePreprocessor(Preprocessor):
20 class ExecutePreprocessor(Preprocessor):
21 """
21 """
22 Executes all the cells in a notebook
22 Executes all the cells in a notebook
23 """
23 """
24
24
25 timeout = Integer(30, config=True,
25 timeout = Integer(30, config=True,
26 help="The time to wait (in seconds) for output from executions."
26 help="The time to wait (in seconds) for output from executions."
27 )
27 )
28 # FIXME: to be removed with nbformat v4
29 # map msg_type to v3 output_type
30 msg_type_map = {
31 "error" : "pyerr",
32 "execute_result" : "pyout",
33 }
34
35 # FIXME: to be removed with nbformat v4
36 # map mime-type to v3 mime-type keys
37 mime_map = {
38 "text/plain" : "text",
39 "text/html" : "html",
40 "image/svg+xml" : "svg",
41 "image/png" : "png",
42 "image/jpeg" : "jpeg",
43 "text/latex" : "latex",
44 "application/json" : "json",
45 "application/javascript" : "javascript",
46 }
47
28
48 extra_arguments = List(Unicode)
29 extra_arguments = List(Unicode)
49
30
50 def preprocess(self, nb, resources):
31 def preprocess(self, nb, resources):
51 from IPython.kernel import run_kernel
32 from IPython.kernel import run_kernel
52 kernel_name = nb.metadata.get('kernelspec', {}).get('name', 'python')
33 kernel_name = nb.metadata.get('kernelspec', {}).get('name', 'python')
53 self.log.info("Executing notebook with kernel: %s" % kernel_name)
34 self.log.info("Executing notebook with kernel: %s" % kernel_name)
54 with run_kernel(kernel_name=kernel_name,
35 with run_kernel(kernel_name=kernel_name,
55 extra_arguments=self.extra_arguments,
36 extra_arguments=self.extra_arguments,
56 stderr=open(os.devnull, 'w')) as kc:
37 stderr=open(os.devnull, 'w')) as kc:
57 self.kc = kc
38 self.kc = kc
58 nb, resources = super(ExecutePreprocessor, self).preprocess(nb, resources)
39 nb, resources = super(ExecutePreprocessor, self).preprocess(nb, resources)
59 return nb, resources
40 return nb, resources
60
41
61 def preprocess_cell(self, cell, resources, cell_index):
42 def preprocess_cell(self, cell, resources, cell_index):
62 """
43 """
63 Apply a transformation on each code cell. See base.py for details.
44 Apply a transformation on each code cell. See base.py for details.
64 """
45 """
65 if cell.cell_type != 'code':
46 if cell.cell_type != 'code':
66 return cell, resources
47 return cell, resources
67 try:
48 try:
68 outputs = self.run_cell(self.kc.shell_channel, self.kc.iopub_channel, cell)
49 outputs = self.run_cell(self.kc.shell_channel, self.kc.iopub_channel, cell)
69 except Exception as e:
50 except Exception as e:
70 self.log.error("failed to run cell: " + repr(e))
51 self.log.error("failed to run cell: " + repr(e))
71 self.log.error(str(cell.input))
52 self.log.error(str(cell.source))
72 raise
53 raise
73 cell.outputs = outputs
54 cell.outputs = outputs
74 return cell, resources
55 return cell, resources
75
56
76 def run_cell(self, shell, iopub, cell):
57 def run_cell(self, shell, iopub, cell):
77 msg_id = shell.execute(cell.input)
58 msg_id = shell.execute(cell.source)
78 self.log.debug("Executing cell:\n%s", cell.input)
59 self.log.debug("Executing cell:\n%s", cell.source)
79 # wait for finish, with timeout
60 # wait for finish, with timeout
80 while True:
61 while True:
81 try:
62 try:
82 msg = shell.get_msg(timeout=self.timeout)
63 msg = shell.get_msg(timeout=self.timeout)
83 except Empty:
64 except Empty:
84 self.log.error("Timeout waiting for execute reply")
65 self.log.error("Timeout waiting for execute reply")
85 raise
66 raise
86 if msg['parent_header'].get('msg_id') == msg_id:
67 if msg['parent_header'].get('msg_id') == msg_id:
87 break
68 break
88 else:
69 else:
89 # not our reply
70 # not our reply
90 continue
71 continue
91
72
92 outs = []
73 outs = []
93
74
94 while True:
75 while True:
95 try:
76 try:
96 msg = iopub.get_msg(timeout=self.timeout)
77 msg = iopub.get_msg(timeout=self.timeout)
97 except Empty:
78 except Empty:
98 self.log.warn("Timeout waiting for IOPub output")
79 self.log.warn("Timeout waiting for IOPub output")
99 break
80 break
100 if msg['parent_header'].get('msg_id') != msg_id:
81 if msg['parent_header'].get('msg_id') != msg_id:
101 # not an output from our execution
82 # not an output from our execution
102 continue
83 continue
103
84
104 msg_type = msg['msg_type']
85 msg_type = msg['msg_type']
105 self.log.debug("output: %s", msg_type)
86 self.log.debug("output: %s", msg_type)
106 content = msg['content']
87 content = msg['content']
107 out = NotebookNode(output_type=self.msg_type_map.get(msg_type, msg_type))
108
88
109 # set the prompt number for the input and the output
89 # set the prompt number for the input and the output
110 if 'execution_count' in content:
90 if 'execution_count' in content:
111 cell['prompt_number'] = content['execution_count']
91 cell['prompt_number'] = content['execution_count']
112 out.prompt_number = content['execution_count']
92 out.prompt_number = content['execution_count']
113
93
114 if msg_type == 'status':
94 if msg_type == 'status':
115 if content['execution_state'] == 'idle':
95 if content['execution_state'] == 'idle':
116 break
96 break
117 else:
97 else:
118 continue
98 continue
119 elif msg_type in {'execute_input', 'pyin'}:
99 elif msg_type in {'execute_input'}:
120 continue
100 continue
121 elif msg_type == 'clear_output':
101 elif msg_type == 'clear_output':
122 outs = []
102 outs = []
123 continue
103 continue
124
104
125 if msg_type == 'stream':
105 # set the prompt number for the input and the output
126 out.stream = content['name']
106 if msg_type == 'execute_result':
127 out.text = content['text']
107 cell['prompt_number'] = content['execution_count']
128 elif msg_type in ('display_data', 'execute_result'):
108 out = new_output(output_type=msg_type,
129 out['metadata'] = content['metadata']
109 metadata=content['metadata'],
130 for mime, data in content['data'].items():
110 mime_bundle=content['data'],
131 # map mime-type keys to nbformat v3 keys
111 prompt_number=content['execution_count'],
132 # this will be unnecessary in nbformat v4
112 )
133 key = self.mime_map.get(mime, mime)
113
134 out[key] = data
114 elif msg_type == 'stream':
115 out = new_output(output_type=msg_type,
116 name=content['name'],
117 data=content['data'],
118 )
119 elif msg_type == 'display_data':
120 out = new_output(output_type=msg_type,
121 metadata=content['metadata'],
122 mime_bundle=content['data'],
123 )
135 elif msg_type == 'error':
124 elif msg_type == 'error':
136 out.ename = content['ename']
125 out = new_output(output_type=msg_type,
137 out.evalue = content['evalue']
126 ename=content['ename'],
138 out.traceback = content['traceback']
127 evalue=content['evalue'],
128 traceback=content['traceback'],
129 )
139 else:
130 else:
140 self.log.error("unhandled iopub msg: " + msg_type)
131 self.log.error("unhandled iopub msg: " + msg_type)
141
132
142 outs.append(out)
133 outs.append(out)
143 return outs
134 return outs
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@@ -1,112 +1,101 b''
1 """Module containing a preprocessor that extracts all of the outputs from the
1 """A preprocessor that extracts all of the outputs from the
2 notebook file. The extracted outputs are returned in the 'resources' dictionary.
2 notebook file. The extracted outputs are returned in the 'resources' dictionary.
3 """
3 """
4 #-----------------------------------------------------------------------------
5 # Copyright (c) 2013, the IPython Development Team.
6 #
7 # Distributed under the terms of the Modified BSD License.
8 #
9 # The full license is in the file COPYING.txt, distributed with this software.
10 #-----------------------------------------------------------------------------
11
4
12 #-----------------------------------------------------------------------------
5 # Copyright (c) IPython Development Team.
13 # Imports
6 # Distributed under the terms of the Modified BSD License.
14 #-----------------------------------------------------------------------------
15
7
16 import base64
8 import base64
17 import sys
9 import sys
18 import os
10 import os
19 from mimetypes import guess_extension
11 from mimetypes import guess_extension
20
12
21 from IPython.utils.traitlets import Unicode, Set
13 from IPython.utils.traitlets import Unicode, Set
22 from .base import Preprocessor
14 from .base import Preprocessor
23 from IPython.utils import py3compat
15 from IPython.utils import py3compat
24
16
25 #-----------------------------------------------------------------------------
26 # Classes
27 #-----------------------------------------------------------------------------
28
17
29 class ExtractOutputPreprocessor(Preprocessor):
18 class ExtractOutputPreprocessor(Preprocessor):
30 """
19 """
31 Extracts all of the outputs from the notebook file. The extracted
20 Extracts all of the outputs from the notebook file. The extracted
32 outputs are returned in the 'resources' dictionary.
21 outputs are returned in the 'resources' dictionary.
33 """
22 """
34
23
35 output_filename_template = Unicode(
24 output_filename_template = Unicode(
36 "{unique_key}_{cell_index}_{index}{extension}", config=True)
25 "{unique_key}_{cell_index}_{index}{extension}", config=True)
37
26
38 extract_output_types = Set({'png', 'jpeg', 'svg', 'application/pdf'}, config=True)
27 extract_output_types = Set({'image/png', 'image/jpeg', 'image/svg+xml', 'application/pdf'}, config=True)
39
28
40 def preprocess_cell(self, cell, resources, cell_index):
29 def preprocess_cell(self, cell, resources, cell_index):
41 """
30 """
42 Apply a transformation on each cell,
31 Apply a transformation on each cell,
43
32
44 Parameters
33 Parameters
45 ----------
34 ----------
46 cell : NotebookNode cell
35 cell : NotebookNode cell
47 Notebook cell being processed
36 Notebook cell being processed
48 resources : dictionary
37 resources : dictionary
49 Additional resources used in the conversion process. Allows
38 Additional resources used in the conversion process. Allows
50 preprocessors to pass variables into the Jinja engine.
39 preprocessors to pass variables into the Jinja engine.
51 cell_index : int
40 cell_index : int
52 Index of the cell being processed (see base.py)
41 Index of the cell being processed (see base.py)
53 """
42 """
54
43
55 #Get the unique key from the resource dict if it exists. If it does not
44 #Get the unique key from the resource dict if it exists. If it does not
56 #exist, use 'output' as the default. Also, get files directory if it
45 #exist, use 'output' as the default. Also, get files directory if it
57 #has been specified
46 #has been specified
58 unique_key = resources.get('unique_key', 'output')
47 unique_key = resources.get('unique_key', 'output')
59 output_files_dir = resources.get('output_files_dir', None)
48 output_files_dir = resources.get('output_files_dir', None)
60
49
61 #Make sure outputs key exists
50 #Make sure outputs key exists
62 if not isinstance(resources['outputs'], dict):
51 if not isinstance(resources['outputs'], dict):
63 resources['outputs'] = {}
52 resources['outputs'] = {}
64
53
65 #Loop through all of the outputs in the cell
54 #Loop through all of the outputs in the cell
66 for index, out in enumerate(cell.get('outputs', [])):
55 for index, out in enumerate(cell.get('outputs', [])):
67
56
68 #Get the output in data formats that the template needs extracted
57 #Get the output in data formats that the template needs extracted
69 for out_type in self.extract_output_types:
58 for out_type in self.extract_output_types:
70 if out_type in out:
59 if out_type in out:
71 data = out[out_type]
60 data = out[out_type]
72
61
73 #Binary files are base64-encoded, SVG is already XML
62 #Binary files are base64-encoded, SVG is already XML
74 if out_type in {'png', 'jpeg', 'application/pdf'}:
63 if out_type in {'image/png', 'image/jpeg', 'application/pdf'}:
75
64
76 # data is b64-encoded as text (str, unicode)
65 # data is b64-encoded as text (str, unicode)
77 # decodestring only accepts bytes
66 # decodestring only accepts bytes
78 data = py3compat.cast_bytes(data)
67 data = py3compat.cast_bytes(data)
79 data = base64.decodestring(data)
68 data = base64.decodestring(data)
80 elif sys.platform == 'win32':
69 elif sys.platform == 'win32':
81 data = data.replace('\n', '\r\n').encode("UTF-8")
70 data = data.replace('\n', '\r\n').encode("UTF-8")
82 else:
71 else:
83 data = data.encode("UTF-8")
72 data = data.encode("UTF-8")
84
73
85 # Build an output name
74 # Build an output name
86 # filthy hack while we have some mimetype output, and some not
75 # filthy hack while we have some mimetype output, and some not
87 if '/' in out_type:
76 if '/' in out_type:
88 ext = guess_extension(out_type)
77 ext = guess_extension(out_type)
89 if ext is None:
78 if ext is None:
90 ext = '.' + out_type.rsplit('/')[-1]
79 ext = '.' + out_type.rsplit('/')[-1]
91 else:
80 else:
92 ext = '.' + out_type
81 ext = '.' + out_type
93
82
94 filename = self.output_filename_template.format(
83 filename = self.output_filename_template.format(
95 unique_key=unique_key,
84 unique_key=unique_key,
96 cell_index=cell_index,
85 cell_index=cell_index,
97 index=index,
86 index=index,
98 extension=ext)
87 extension=ext)
99
88
100 #On the cell, make the figure available via
89 #On the cell, make the figure available via
101 # cell.outputs[i].svg_filename ... etc (svg in example)
90 # cell.outputs[i].svg_filename ... etc (svg in example)
102 # Where
91 # Where
103 # cell.outputs[i].svg contains the data
92 # cell.outputs[i].svg contains the data
104 if output_files_dir is not None:
93 if output_files_dir is not None:
105 filename = os.path.join(output_files_dir, filename)
94 filename = os.path.join(output_files_dir, filename)
106 out[out_type + '_filename'] = filename
95 out[out_type + '_filename'] = filename
107
96
108 #In the resources, make the figure available via
97 #In the resources, make the figure available via
109 # resources['outputs']['filename'] = data
98 # resources['outputs']['filename'] = data
110 resources['outputs'][filename] = data
99 resources['outputs'][filename] = data
111
100
112 return cell, resources
101 return cell, resources
Show file before | Show file after | Hide comments
@@ -1,113 +1,100 b''
1 """This preprocessor detect cells using a different language through
1 """This preprocessor detect cells using a different language through
2 magic extensions such as `%%R` or `%%octave`. Cell's metadata is marked
2 magic extensions such as `%%R` or `%%octave`. Cell's metadata is marked
3 so that the appropriate highlighter can be used in the `highlight`
3 so that the appropriate highlighter can be used in the `highlight`
4 filter.
4 filter.
5 """
5 """
6
6
7 #-----------------------------------------------------------------------------
7 # Copyright (c) IPython Development Team.
8 # Copyright (c) 2013, the IPython Development Team.
9 #
10 # Distributed under the terms of the Modified BSD License.
8 # Distributed under the terms of the Modified BSD License.
11 #
12 # The full license is in the file COPYING.txt, distributed with this software.
13 #-----------------------------------------------------------------------------
14
15 #-----------------------------------------------------------------------------
16 # Imports
17 #-----------------------------------------------------------------------------
18
9
19 from __future__ import print_function, absolute_import
10 from __future__ import print_function, absolute_import
20
11
21 import re
12 import re
22
13
23 # Our own imports
14 # Our own imports
24 from .base import Preprocessor
15 from .base import Preprocessor
25 from IPython.utils.traitlets import Dict
16 from IPython.utils.traitlets import Dict
26
17
27 #-----------------------------------------------------------------------------
28 # Classes
29 #-----------------------------------------------------------------------------
30
31
18
32 class HighlightMagicsPreprocessor(Preprocessor):
19 class HighlightMagicsPreprocessor(Preprocessor):
33 """
20 """
34 Detects and tags code cells that use a different languages than Python.
21 Detects and tags code cells that use a different languages than Python.
35 """
22 """
36
23
37 # list of magic language extensions and their associated pygment lexers
24 # list of magic language extensions and their associated pygment lexers
38 default_languages = Dict(
25 default_languages = Dict(
39 default_value={
26 default_value={
40 '%%R': 'r',
27 '%%R': 'r',
41 '%%bash': 'bash',
28 '%%bash': 'bash',
42 '%%cython': 'cython',
29 '%%cython': 'cython',
43 '%%javascript': 'javascript',
30 '%%javascript': 'javascript',
44 '%%julia': 'julia',
31 '%%julia': 'julia',
45 '%%latex': 'latex',
32 '%%latex': 'latex',
46 '%%octave': 'octave',
33 '%%octave': 'octave',
47 '%%perl': 'perl',
34 '%%perl': 'perl',
48 '%%ruby': 'ruby',
35 '%%ruby': 'ruby',
49 '%%sh': 'sh'})
36 '%%sh': 'sh'})
50
37
51 # user defined language extensions
38 # user defined language extensions
52 languages = Dict(
39 languages = Dict(
53 config=True,
40 config=True,
54 help=("Syntax highlighting for magic's extension languages. "
41 help=("Syntax highlighting for magic's extension languages. "
55 "Each item associates a language magic extension such as %%R, "
42 "Each item associates a language magic extension such as %%R, "
56 "with a pygments lexer such as r."))
43 "with a pygments lexer such as r."))
57
44
58 def __init__(self, config=None, **kw):
45 def __init__(self, config=None, **kw):
59 """Public constructor"""
46 """Public constructor"""
60
47
61 super(HighlightMagicsPreprocessor, self).__init__(config=config, **kw)
48 super(HighlightMagicsPreprocessor, self).__init__(config=config, **kw)
62
49
63 # Update the default languages dict with the user configured ones
50 # Update the default languages dict with the user configured ones
64 self.default_languages.update(self.languages)
51 self.default_languages.update(self.languages)
65
52
66 # build a regular expression to catch language extensions and choose
53 # build a regular expression to catch language extensions and choose
67 # an adequate pygments lexer
54 # an adequate pygments lexer
68 any_language = "|".join(self.default_languages.keys())
55 any_language = "|".join(self.default_languages.keys())
69 self.re_magic_language = re.compile(
56 self.re_magic_language = re.compile(
70 r'^\s*({0})\s+'.format(any_language))
57 r'^\s*({0})\s+'.format(any_language))
71
58
72 def which_magic_language(self, source):
59 def which_magic_language(self, source):
73 """
60 """
74 When a cell uses another language through a magic extension,
61 When a cell uses another language through a magic extension,
75 the other language is returned.
62 the other language is returned.
76 If no language magic is detected, this function returns None.
63 If no language magic is detected, this function returns None.
77
64
78 Parameters
65 Parameters
79 ----------
66 ----------
80 source: str
67 source: str
81 Source code of the cell to highlight
68 Source code of the cell to highlight
82 """
69 """
83
70
84 m = self.re_magic_language.match(source)
71 m = self.re_magic_language.match(source)
85
72
86 if m:
73 if m:
87 # By construction of the re, the matched language must be in the
74 # By construction of the re, the matched language must be in the
88 # languages dictionary
75 # languages dictionary
89 return self.default_languages[m.group(1)]
76 return self.default_languages[m.group(1)]
90 else:
77 else:
91 return None
78 return None
92
79
93 def preprocess_cell(self, cell, resources, cell_index):
80 def preprocess_cell(self, cell, resources, cell_index):
94 """
81 """
95 Tags cells using a magic extension language
82 Tags cells using a magic extension language
96
83
97 Parameters
84 Parameters
98 ----------
85 ----------
99 cell : NotebookNode cell
86 cell : NotebookNode cell
100 Notebook cell being processed
87 Notebook cell being processed
101 resources : dictionary
88 resources : dictionary
102 Additional resources used in the conversion process. Allows
89 Additional resources used in the conversion process. Allows
103 preprocessors to pass variables into the Jinja engine.
90 preprocessors to pass variables into the Jinja engine.
104 cell_index : int
91 cell_index : int
105 Index of the cell being processed (see base.py)
92 Index of the cell being processed (see base.py)
106 """
93 """
107
94
108 # Only tag code cells
95 # Only tag code cells
109 if hasattr(cell, "input") and cell.cell_type == "code":
96 if cell.cell_type == "code":
110 magic_language = self.which_magic_language(cell.input)
97 magic_language = self.which_magic_language(cell.source)
111 if magic_language:
98 if magic_language:
112 cell['metadata']['magics_language'] = magic_language
99 cell['metadata']['magics_language'] = magic_language
113 return cell, resources
100 return cell, resources
Show file before | Show file after | Hide comments
@@ -1,75 +1,62 b''
1 """Module that pre-processes the notebook for export via Reveal.
1 """Module that pre-processes the notebook for export via Reveal."""
2 """
3 #-----------------------------------------------------------------------------
4 # Copyright (c) 2013, the IPython Development Team.
5 #
6 # Distributed under the terms of the Modified BSD License.
7 #
8 # The full license is in the file COPYING.txt, distributed with this software.
9 #-----------------------------------------------------------------------------
10
2
11 #-----------------------------------------------------------------------------
3 # Copyright (c) IPython Development Team.
12 # Imports
4 # Distributed under the terms of the Modified BSD License.
13 #-----------------------------------------------------------------------------
14
5
15 from .base import Preprocessor
6 from .base import Preprocessor
16 from IPython.utils.traitlets import Unicode
7 from IPython.utils.traitlets import Unicode
17
8
18 #-----------------------------------------------------------------------------
19 # Classes and functions
20 #-----------------------------------------------------------------------------
21
9
22 class RevealHelpPreprocessor(Preprocessor):
10 class RevealHelpPreprocessor(Preprocessor):
23
11
24 url_prefix = Unicode('reveal.js', config=True,
12 url_prefix = Unicode('reveal.js', config=True,
25 help="""The URL prefix for reveal.js.
13 help="""The URL prefix for reveal.js.
26 This can be a a relative URL for a local copy of reveal.js,
14 This can be a a relative URL for a local copy of reveal.js,
27 or point to a CDN.
15 or point to a CDN.
28
16
29 For speaker notes to work, a local reveal.js prefix must be used.
17 For speaker notes to work, a local reveal.js prefix must be used.
30 """
18 """
31 )
19 )
32
20
33 def preprocess(self, nb, resources):
21 def preprocess(self, nb, resources):
34 """
22 """
35 Called once to 'preprocess' contents of the notebook.
23 Called once to 'preprocess' contents of the notebook.
36
24
37 Parameters
25 Parameters
38 ----------
26 ----------
39 nb : NotebookNode
27 nb : NotebookNode
40 Notebook being converted
28 Notebook being converted
41 resources : dictionary
29 resources : dictionary
42 Additional resources used in the conversion process. Allows
30 Additional resources used in the conversion process. Allows
43 preprocessors to pass variables into the Jinja engine.
31 preprocessors to pass variables into the Jinja engine.
44 """
32 """
45
33
46 for worksheet in nb.worksheets:
34 for index, cell in enumerate(nb.cells):
47 for index, cell in enumerate(worksheet.cells):
35
48
36 #Make sure the cell has slideshow metadata.
49 #Make sure the cell has slideshow metadata.
37 cell.metadata.slide_type = cell.get('metadata', {}).get('slideshow', {}).get('slide_type', '-')
50 cell.metadata.slide_type = cell.get('metadata', {}).get('slideshow', {}).get('slide_type', '-')
38
51
39 # Get the slide type. If type is start, subslide, or slide,
52 #Get the slide type. If type is start of subslide or slide,
40 # end the last subslide/slide.
53 #end the last subslide/slide.
41 if cell.metadata.slide_type in ['slide']:
54 if cell.metadata.slide_type in ['slide']:
42 nb.cells[index - 1].metadata.slide_helper = 'slide_end'
55 worksheet.cells[index - 1].metadata.slide_helper = 'slide_end'
43 if cell.metadata.slide_type in ['subslide']:
56 if cell.metadata.slide_type in ['subslide']:
44 nb.cells[index - 1].metadata.slide_helper = 'subslide_end'
57 worksheet.cells[index - 1].metadata.slide_helper = 'subslide_end'
45 # Prevent the rendering of "do nothing" cells before fragments
58 #Prevent the rendering of "do nothing" cells before fragments
46 # Group fragments passing frag_number to the data-fragment-index
59 #Group fragments passing frag_number to the data-fragment-index
47 if cell.metadata.slide_type in ['fragment']:
60 if cell.metadata.slide_type in ['fragment']:
48 nb.cells[index].metadata.frag_number = index
61 worksheet.cells[index].metadata.frag_number = index
49 i = 1
62 i = 1
50 while i < len(nb.cells) - index:
63 while i < len(worksheet.cells) - index:
51 nb.cells[index + i].metadata.frag_helper = 'fragment_end'
64 worksheet.cells[index + i].metadata.frag_helper = 'fragment_end'
52 nb.cells[index + i].metadata.frag_number = index
65 worksheet.cells[index + i].metadata.frag_number = index
53 i += 1
66 i += 1
54 # Restart the slide_helper when the cell status is changed
67 #Restart the slide_helper when the cell status is changed
55 # to other types.
68 #to other types.
56 if cell.metadata.slide_type in ['-', 'skip', 'notes', 'fragment']:
69 if cell.metadata.slide_type in ['-', 'skip', 'notes', 'fragment']:
57 nb.cells[index - 1].metadata.slide_helper = '-'
70 worksheet.cells[index - 1].metadata.slide_helper = '-'
71
58
72 if not isinstance(resources['reveal'], dict):
59 if not isinstance(resources['reveal'], dict):
73 resources['reveal'] = {}
60 resources['reveal'] = {}
74 resources['reveal']['url_prefix'] = self.url_prefix
61 resources['reveal']['url_prefix'] = self.url_prefix
75 return nb, resources
62 return nb, resources
Show file before | Show file after | Hide comments
@@ -1,56 +1,41 b''
1 """
1 """utility functions for preprocessor tests"""
2 Module with utility functions for preprocessor tests
3 """
4
2
5 #-----------------------------------------------------------------------------
3 # Copyright (c) IPython Development Team.
6 # Copyright (c) 2013, the IPython Development Team.
7 #
8 # Distributed under the terms of the Modified BSD License.
4 # Distributed under the terms of the Modified BSD License.
9 #
10 # The full license is in the file COPYING.txt, distributed with this software.
11 #-----------------------------------------------------------------------------
12
13 #-----------------------------------------------------------------------------
14 # Imports
15 #-----------------------------------------------------------------------------
16
5
17 from IPython.nbformat import current as nbformat
6 from IPython.nbformat import current as nbformat
18
7
19 from ...tests.base import TestsBase
8 from ...tests.base import TestsBase
20 from ...exporters.exporter import ResourcesDict
9 from ...exporters.exporter import ResourcesDict
21
10
22 #-----------------------------------------------------------------------------
23 # Class
24 #-----------------------------------------------------------------------------
25
11
26 class PreprocessorTestsBase(TestsBase):
12 class PreprocessorTestsBase(TestsBase):
27 """Contains test functions preprocessor tests"""
13 """Contains test functions preprocessor tests"""
28
14
29
15
30 def build_notebook(self):
16 def build_notebook(self):
31 """Build a notebook in memory for use with preprocessor tests"""
17 """Build a notebook in memory for use with preprocessor tests"""
32
18
33 outputs = [nbformat.new_output(output_type="stream", stream="stdout", output_text="a"),
19 outputs = [nbformat.new_output(output_type="stream", name="stdout", text="a"),
34 nbformat.new_output(output_type="text", output_text="b"),
20 nbformat.new_output(output_type="display_data", mime_bundle={'text/plain': 'b'}),
35 nbformat.new_output(output_type="stream", stream="stdout", output_text="c"),
21 nbformat.new_output(output_type="stream", name="stdout", text="c"),
36 nbformat.new_output(output_type="stream", stream="stdout", output_text="d"),
22 nbformat.new_output(output_type="stream", name="stdout", text="d"),
37 nbformat.new_output(output_type="stream", stream="stderr", output_text="e"),
23 nbformat.new_output(output_type="stream", name="stderr", text="e"),
38 nbformat.new_output(output_type="stream", stream="stderr", output_text="f"),
24 nbformat.new_output(output_type="stream", name="stderr", text="f"),
39 nbformat.new_output(output_type="png", output_png='Zw==')] # g
25 nbformat.new_output(output_type="display_data", mime_bundle={'image/png': 'Zw=='})] # g
40 out = nbformat.new_output(output_type="application/pdf")
26 out = nbformat.new_output(output_type="display_data")
41 out['application/pdf'] = 'aA==' # h
27 out['application/pdf'] = 'aA=='
42 outputs.append(out)
28 outputs.append(out)
43
29
44 cells=[nbformat.new_code_cell(input="$ e $", prompt_number=1,outputs=outputs),
30 cells=[nbformat.new_code_cell(source="$ e $", prompt_number=1, outputs=outputs),
45 nbformat.new_text_cell('markdown', source="$ e $")]
31 nbformat.new_markdown_cell(source="$ e $")]
46 worksheets = [nbformat.new_worksheet(cells=cells)]
47
32
48 return nbformat.new_notebook(name="notebook1", worksheets=worksheets)
33 return nbformat.new_notebook(cells=cells)
49
34
50
35
51 def build_resources(self):
36 def build_resources(self):
52 """Build an empty resources dictionary."""
37 """Build an empty resources dictionary."""
53
38
54 res = ResourcesDict()
39 res = ResourcesDict()
55 res['metadata'] = ResourcesDict()
40 res['metadata'] = ResourcesDict()
56 return res
41 return res
Show file before | Show file after | Hide comments
@@ -1,46 +1,38 b''
1 {
1 {
2 "metadata": {
2 "cells": [
3 "name": ""
4 },
5 "nbformat": 3,
6 "nbformat_minor": 0,
7 "worksheets": [
8 {
3 {
9 "cells": [
4 "cell_type": "code",
10 {
5 "metadata": {
11 "cell_type": "code",
6 "collapsed": false
12 "collapsed": false,
7 },
13 "input": [
8 "outputs": [],
14 "from IPython.display import clear_output"
9 "prompt_number": 1,
15 ],
10 "source": [
16 "language": "python",
11 "from IPython.display import clear_output"
17 "metadata": {},
12 ]
18 "outputs": [],
13 },
19 "prompt_number": 1
14 {
20 },
15 "cell_type": "code",
16 "metadata": {
17 "collapsed": false
18 },
19 "outputs": [
21 {
20 {
22 "cell_type": "code",
23 "collapsed": false,
24 "input": [
25 "for i in range(10):\n",
26 " clear_output()\n",
27 " print(i)"
28 ],
29 "language": "python",
30 "metadata": {},
21 "metadata": {},
31 "outputs": [
22 "name": "stdout",
32 {
23 "output_type": "stream",
33 "output_type": "stream",
24 "text": "9\n"
34 "stream": "stdout",
35 "text": [
36 "9\n"
37 ]
38 }
39 ],
40 "prompt_number": 2
41 }
25 }
42 ],
26 ],
43 "metadata": {}
27 "prompt_number": 2,
28 "source": [
29 "for i in range(10):\n",
30 " clear_output()\n",
31 " print(i)"
32 ]
44 }
33 }
45 ]
34 ],
35 "metadata": {},
36 "nbformat": 4,
37 "nbformat_minor": 0
46 } No newline at end of file
38 }
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@@ -1,55 +1,38 b''
1 {
1 {
2 "metadata": {
2 "cells": [
3 "name": ""
4 },
5 "nbformat": 3,
6 "nbformat_minor": 0,
7 "worksheets": [
8 {
3 {
9 "cells": [
4 "cell_type": "code",
10 {
5 "metadata": {
11 "cell_type": "code",
6 "collapsed": false
12 "collapsed": false,
7 },
13 "input": [
8 "outputs": [],
14 "i, j = 1, 1"
9 "prompt_number": 1,
15 ],
10 "source": [
16 "language": "python",
11 "i, j = 1, 1"
17 "metadata": {},
12 ]
18 "outputs": [],
13 },
19 "prompt_number": 1
14 {
20 },
15 "cell_type": "code",
16 "metadata": {
17 "collapsed": false
18 },
19 "outputs": [
21 {
20 {
22 "cell_type": "code",
23 "collapsed": false,
24 "input": [
25 "for m in range(10):\n",
26 " i, j = j, i + j\n",
27 " print(j)"
28 ],
29 "language": "python",
30 "metadata": {},
21 "metadata": {},
31 "outputs": [
22 "name": "stdout",
32 {
23 "output_type": "stream",
33 "output_type": "stream",
24 "text": "2\n3\n5\n8\n13\n21\n34\n55\n89\n144\n"
34 "stream": "stdout",
35 "text": [
36 "2\n",
37 "3\n",
38 "5\n",
39 "8\n",
40 "13\n",
41 "21\n",
42 "34\n",
43 "55\n",
44 "89\n",
45 "144\n"
46 ]
47 }
48 ],
49 "prompt_number": 2
50 }
25 }
51 ],
26 ],
52 "metadata": {}
27 "prompt_number": 2,
28 "source": [
29 "for m in range(10):\n",
30 " i, j = j, i + j\n",
31 " print(j)"
32 ]
53 }
33 }
54 ]
34 ],
35 "metadata": {},
36 "nbformat": 4,
37 "nbformat_minor": 0
55 } No newline at end of file
38 }
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@@ -1,33 +1,25 b''
1 {
1 {
2 "metadata": {
2 "cells": [
3 "name": ""
4 },
5 "nbformat": 3,
6 "nbformat_minor": 0,
7 "worksheets": [
8 {
3 {
9 "cells": [
4 "cell_type": "code",
5 "metadata": {
6 "collapsed": false
7 },
8 "outputs": [
10 {
9 {
11 "cell_type": "code",
12 "collapsed": false,
13 "input": [
14 "print(\"Hello World\")"
15 ],
16 "language": "python",
17 "metadata": {},
10 "metadata": {},
18 "outputs": [
11 "name": "stdout",
19 {
12 "output_type": "stream",
20 "output_type": "stream",
13 "text": "Hello World\n"
21 "stream": "stdout",
22 "text": [
23 "Hello World\n"
24 ]
25 }
26 ],
27 "prompt_number": 1
28 }
14 }
29 ],
15 ],
30 "metadata": {}
16 "prompt_number": 1,
17 "source": [
18 "print(\"Hello World\")"
19 ]
31 }
20 }
32 ]
21 ],
22 "metadata": {},
23 "nbformat": 4,
24 "nbformat_minor": 0
33 } No newline at end of file
25 }
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@@ -1,36 +1,29 b''
1 {
1 {
2 "metadata": {
2 "cells": [
3 "name": ""
4 },
5 "nbformat": 3,
6 "nbformat_minor": 0,
7 "worksheets": [
8 {
3 {
9 "cells": [
4 "cell_type": "code",
10 {
5 "metadata": {
11 "cell_type": "code",
6 "collapsed": false
12 "collapsed": false,
7 },
13 "input": [
8 "outputs": [],
14 "from IPython.display import Image"
9 "prompt_number": 1,
15 ],
10 "source": [
16 "language": "python",
11 "from IPython.display import Image"
17 "metadata": {},
12 ]
18 "outputs": [],
13 },
19 "prompt_number": 1
14 {
20 },
15 "cell_type": "code",
21 {
16 "metadata": {
22 "cell_type": "code",
17 "collapsed": false
23 "collapsed": false,
18 },
24 "input": [
19 "outputs": [],
25 "Image('../input/python.png');"
20 "prompt_number": 2,
26 ],
21 "source": [
27 "language": "python",
22 "Image('../input/python.png');"
28 "metadata": {},
23 ]
29 "outputs": [],
30 "prompt_number": 2
31 }
32 ],
33 "metadata": {}
34 }
24 }
35 ]
25 ],
26 "metadata": {},
27 "nbformat": 4,
28 "nbformat_minor": 0
36 } No newline at end of file
29 }
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@@ -1,53 +1,46 b''
1 {
1 {
2 "metadata": {
2 "cells": [
3 "name": ""
4 },
5 "nbformat": 3,
6 "nbformat_minor": 0,
7 "worksheets": [
8 {
3 {
9 "cells": [
4 "cell_type": "code",
10 {
5 "metadata": {
11 "cell_type": "code",
6 "collapsed": false
12 "collapsed": false,
7 },
13 "input": [
8 "outputs": [],
14 "from IPython.display import SVG"
9 "prompt_number": 1,
15 ],
10 "source": [
16 "language": "python",
11 "from IPython.display import SVG"
17 "metadata": {},
12 ]
18 "outputs": [],
13 },
19 "prompt_number": 1
14 {
20 },
15 "cell_type": "code",
16 "metadata": {
17 "collapsed": false
18 },
19 "outputs": [
21 {
20 {
22 "cell_type": "code",
21 "image/svg+xml": [
23 "collapsed": false,
24 "input": [
25 "SVG(data='''\n",
26 "<svg height=\"100\" width=\"100\">\n",
22 "<svg height=\"100\" width=\"100\">\n",
27 " <circle cx=\"50\" cy=\"50\" r=\"40\" stroke=\"black\" stroke-width=\"2\" fill=\"red\" />\n",
23 " <circle cx=\"50\" cy=\"50\" fill=\"red\" r=\"40\" stroke=\"black\" stroke-width=\"2\"/>\n",
28 "</svg>''')"
24 "</svg>"
29 ],
25 ],
30 "language": "python",
31 "metadata": {},
26 "metadata": {},
32 "outputs": [
27 "output_type": "execute_result",
33 {
28 "prompt_number": 2,
34 "metadata": {},
29 "text/plain": [
35 "output_type": "pyout",
30 "<IPython.core.display.SVG object>"
36 "prompt_number": 2,
31 ]
37 "svg": [
38 "<svg height=\"100\" width=\"100\">\n",
39 " <circle cx=\"50\" cy=\"50\" fill=\"red\" r=\"40\" stroke=\"black\" stroke-width=\"2\"/>\n",
40 "</svg>"
41 ],
42 "text": [
43 "<IPython.core.display.SVG at 0x10428e150>"
44 ]
45 }
46 ],
47 "prompt_number": 2
48 }
32 }
49 ],
33 ],
50 "metadata": {}
34 "prompt_number": 2,
35 "source": [
36 "SVG(data='''\n",
37 "<svg height=\"100\" width=\"100\">\n",
38 " <circle cx=\"50\" cy=\"50\" r=\"40\" stroke=\"black\" stroke-width=\"2\" fill=\"red\" />\n",
39 "</svg>''')"
40 ]
51 }
41 }
52 ]
42 ],
43 "metadata": {},
44 "nbformat": 4,
45 "nbformat_minor": 0
53 } No newline at end of file
46 }
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@@ -1,57 +1,51 b''
1 {
1 {
2 "metadata": {
2 "cells": [
3 "name": "",
4 "signature": "sha256:9d47889f0678e9685429071216d0f3354db59bb66489f3225bcadfb6a1a9bbba"
5 },
6 "nbformat": 3,
7 "nbformat_minor": 0,
8 "worksheets": [
9 {
3 {
10 "cells": [
4 "cell_type": "code",
5 "metadata": {
6 "collapsed": false
7 },
8 "outputs": [
11 {
9 {
12 "cell_type": "code",
10 "ename": "Exception",
13 "collapsed": false,
11 "evalue": "message",
14 "input": [
15 "raise Exception(\"message\")"
16 ],
17 "language": "python",
18 "metadata": {},
12 "metadata": {},
19 "outputs": [
13 "output_type": "error",
20 {
14 "traceback": [
21 "ename": "Exception",
15 "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
22 "evalue": "message",
16 "\u001b[1;31mException\u001b[0m Traceback (most recent call last)",
23 "output_type": "pyerr",
17 "\u001b[1;32m<ipython-input-1-335814d14fc1>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[1;32mraise\u001b[0m \u001b[0mException\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"message\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
24 "traceback": [
18 "\u001b[1;31mException\u001b[0m: message"
25 "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
19 ]
26 "\u001b[1;31mException\u001b[0m Traceback (most recent call last)",
20 }
27 "\u001b[1;32m<ipython-input-1-335814d14fc1>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[1;32mraise\u001b[0m \u001b[0mException\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"message\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
21 ],
28 "\u001b[1;31mException\u001b[0m: message"
22 "prompt_number": 1,
29 ]
23 "source": [
30 }
24 "raise Exception(\"message\")"
31 ],
25 ]
32 "prompt_number": 1
26 },
33 },
27 {
28 "cell_type": "code",
29 "metadata": {
30 "collapsed": false
31 },
32 "outputs": [
34 {
33 {
35 "cell_type": "code",
36 "collapsed": false,
37 "input": [
38 "print('ok')"
39 ],
40 "language": "python",
41 "metadata": {},
34 "metadata": {},
42 "outputs": [
35 "name": "stdout",
43 {
36 "output_type": "stream",
44 "output_type": "stream",
37 "text": "ok\n"
45 "stream": "stdout",
46 "text": [
47 "ok\n"
48 ]
49 }
50 ],
51 "prompt_number": 2
52 }
38 }
53 ],
39 ],
54 "metadata": {}
40 "prompt_number": 2,
41 "source": [
42 "print('ok')"
43 ]
55 }
44 }
56 ]
45 ],
46 "metadata": {
47 "signature": "sha256:9d47889f0678e9685429071216d0f3354db59bb66489f3225bcadfb6a1a9bbba"
48 },
49 "nbformat": 4,
50 "nbformat_minor": 0
57 } No newline at end of file
51 }
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@@ -1,33 +1,25 b''
1 {
1 {
2 "metadata": {
2 "cells": [
3 "name": ""
4 },
5 "nbformat": 3,
6 "nbformat_minor": 0,
7 "worksheets": [
8 {
3 {
9 "cells": [
4 "cell_type": "code",
5 "metadata": {
6 "collapsed": false
7 },
8 "outputs": [
10 {
9 {
11 "cell_type": "code",
12 "collapsed": false,
13 "input": [
14 "print('\u2603')"
15 ],
16 "language": "python",
17 "metadata": {},
10 "metadata": {},
18 "outputs": [
11 "name": "stdout",
19 {
12 "output_type": "stream",
20 "output_type": "stream",
13 "text": "\u2603\n"
21 "stream": "stdout",
22 "text": [
23 "\u2603\n"
24 ]
25 }
26 ],
27 "prompt_number": 1
28 }
14 }
29 ],
15 ],
30 "metadata": {}
16 "prompt_number": 1,
17 "source": [
18 "print('\u2603')"
19 ]
31 }
20 }
32 ]
21 ],
22 "metadata": {},
23 "nbformat": 4,
24 "nbformat_minor": 0
33 } No newline at end of file
25 }
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@@ -1,42 +1,35 b''
1 """
1 """
2 Module with tests for the clearoutput preprocessor.
2 Module with tests for the clearoutput preprocessor.
3 """
3 """
4
4
5 # Copyright (c) IPython Development Team.
5 # Copyright (c) IPython Development Team.
6 # Distributed under the terms of the Modified BSD License.
6 # Distributed under the terms of the Modified BSD License.
7
7
8 #-----------------------------------------------------------------------------
9 # Imports
10 #-----------------------------------------------------------------------------
11 from IPython.nbformat import current as nbformat
8 from IPython.nbformat import current as nbformat
12
9
13 from .base import PreprocessorTestsBase
10 from .base import PreprocessorTestsBase
14 from ..clearoutput import ClearOutputPreprocessor
11 from ..clearoutput import ClearOutputPreprocessor
15
12
16
13
17 #-----------------------------------------------------------------------------
18 # Class
19 #-----------------------------------------------------------------------------
20
21 class TestClearOutput(PreprocessorTestsBase):
14 class TestClearOutput(PreprocessorTestsBase):
22 """Contains test functions for clearoutput.py"""
15 """Contains test functions for clearoutput.py"""
23
16
24
17
25 def build_preprocessor(self):
18 def build_preprocessor(self):
26 """Make an instance of a preprocessor"""
19 """Make an instance of a preprocessor"""
27 preprocessor = ClearOutputPreprocessor()
20 preprocessor = ClearOutputPreprocessor()
28 preprocessor.enabled = True
21 preprocessor.enabled = True
29 return preprocessor
22 return preprocessor
30
23
31 def test_constructor(self):
24 def test_constructor(self):
32 """Can a ClearOutputPreprocessor be constructed?"""
25 """Can a ClearOutputPreprocessor be constructed?"""
33 self.build_preprocessor()
26 self.build_preprocessor()
34
27
35 def test_output(self):
28 def test_output(self):
36 """Test the output of the ClearOutputPreprocessor"""
29 """Test the output of the ClearOutputPreprocessor"""
37 nb = self.build_notebook()
30 nb = self.build_notebook()
38 res = self.build_resources()
31 res = self.build_resources()
39 preprocessor = self.build_preprocessor()
32 preprocessor = self.build_preprocessor()
40 nb, res = preprocessor(nb, res)
33 nb, res = preprocessor(nb, res)
41 assert nb.worksheets[0].cells[0].outputs == []
34 assert nb.cells[0].outputs == []
42 assert nb.worksheets[0].cells[0].prompt_number is None
35 assert nb.cells[0].prompt_number is None
Show file before | Show file after | Hide comments
@@ -1,60 +1,58 b''
1 """Tests for the coalescestreams preprocessor"""
1 """Tests for the coalescestreams preprocessor"""
2
2
3 # Copyright (c) IPython Development Team.
3 # Copyright (c) IPython Development Team.
4 # Distributed under the terms of the Modified BSD License.
4 # Distributed under the terms of the Modified BSD License.
5
5
6 from IPython.nbformat import current as nbformat
6 from IPython.nbformat import current as nbformat
7
7
8 from .base import PreprocessorTestsBase
8 from .base import PreprocessorTestsBase
9 from ..coalescestreams import coalesce_streams
9 from ..coalescestreams import coalesce_streams
10
10
11
11
12 class TestCoalesceStreams(PreprocessorTestsBase):
12 class TestCoalesceStreams(PreprocessorTestsBase):
13 """Contains test functions for coalescestreams.py"""
13 """Contains test functions for coalescestreams.py"""
14
14
15 def test_coalesce_streams(self):
15 def test_coalesce_streams(self):
16 """coalesce_streams preprocessor output test"""
16 """coalesce_streams preprocessor output test"""
17 nb = self.build_notebook()
17 nb = self.build_notebook()
18 res = self.build_resources()
18 res = self.build_resources()
19 nb, res = coalesce_streams(nb, res)
19 nb, res = coalesce_streams(nb, res)
20 outputs = nb.worksheets[0].cells[0].outputs
20 outputs = nb.cells[0].outputs
21 self.assertEqual(outputs[0].text, "a")
21 self.assertEqual(outputs[0].text, "a")
22 self.assertEqual(outputs[1].output_type, "text")
22 self.assertEqual(outputs[1].output_type, "display_data")
23 self.assertEqual(outputs[2].text, "cd")
23 self.assertEqual(outputs[2].text, "cd")
24 self.assertEqual(outputs[3].text, "ef")
24 self.assertEqual(outputs[3].text, "ef")
25
25
26 def test_coalesce_sequenced_streams(self):
26 def test_coalesce_sequenced_streams(self):
27 """Can the coalesce streams preprocessor merge a sequence of streams?"""
27 """Can the coalesce streams preprocessor merge a sequence of streams?"""
28 outputs = [nbformat.new_output(output_type="stream", stream="stdout", output_text="0"),
28 outputs = [nbformat.new_output(output_type="stream", name="stdout", text="0"),
29 nbformat.new_output(output_type="stream", stream="stdout", output_text="1"),
29 nbformat.new_output(output_type="stream", name="stdout", text="1"),
30 nbformat.new_output(output_type="stream", stream="stdout", output_text="2"),
30 nbformat.new_output(output_type="stream", name="stdout", text="2"),
31 nbformat.new_output(output_type="stream", stream="stdout", output_text="3"),
31 nbformat.new_output(output_type="stream", name="stdout", text="3"),
32 nbformat.new_output(output_type="stream", stream="stdout", output_text="4"),
32 nbformat.new_output(output_type="stream", name="stdout", text="4"),
33 nbformat.new_output(output_type="stream", stream="stdout", output_text="5"),
33 nbformat.new_output(output_type="stream", name="stdout", text="5"),
34 nbformat.new_output(output_type="stream", stream="stdout", output_text="6"),
34 nbformat.new_output(output_type="stream", name="stdout", text="6"),
35 nbformat.new_output(output_type="stream", stream="stdout", output_text="7")]
35 nbformat.new_output(output_type="stream", name="stdout", text="7")]
36 cells=[nbformat.new_code_cell(input="# None", prompt_number=1,outputs=outputs)]
36 cells=[nbformat.new_code_cell(source="# None", prompt_number=1,outputs=outputs)]
37 worksheets = [nbformat.new_worksheet(cells=cells)]
37
38
38 nb = nbformat.new_notebook(cells=cells)
39 nb = nbformat.new_notebook(name="notebook1", worksheets=worksheets)
40 res = self.build_resources()
39 res = self.build_resources()
41 nb, res = coalesce_streams(nb, res)
40 nb, res = coalesce_streams(nb, res)
42 outputs = nb.worksheets[0].cells[0].outputs
41 outputs = nb.cells[0].outputs
43 self.assertEqual(outputs[0].text, u'01234567')
42 self.assertEqual(outputs[0].text, u'01234567')
44
43
45 def test_coalesce_replace_streams(self):
44 def test_coalesce_replace_streams(self):
46 """Are \\r characters handled?"""
45 """Are \\r characters handled?"""
47 outputs = [nbformat.new_output(output_type="stream", stream="stdout", output_text="z"),
46 outputs = [nbformat.new_output(output_type="stream", name="stdout", text="z"),
48 nbformat.new_output(output_type="stream", stream="stdout", output_text="\ra"),
47 nbformat.new_output(output_type="stream", name="stdout", text="\ra"),
49 nbformat.new_output(output_type="stream", stream="stdout", output_text="\nz\rb"),
48 nbformat.new_output(output_type="stream", name="stdout", text="\nz\rb"),
50 nbformat.new_output(output_type="stream", stream="stdout", output_text="\nz"),
49 nbformat.new_output(output_type="stream", name="stdout", text="\nz"),
51 nbformat.new_output(output_type="stream", stream="stdout", output_text="\rc\n"),
50 nbformat.new_output(output_type="stream", name="stdout", text="\rc\n"),
52 nbformat.new_output(output_type="stream", stream="stdout", output_text="z\rz\rd")]
51 nbformat.new_output(output_type="stream", name="stdout", text="z\rz\rd")]
53 cells=[nbformat.new_code_cell(input="# None", prompt_number=1,outputs=outputs)]
52 cells=[nbformat.new_code_cell(source="# None", prompt_number=1,outputs=outputs)]
54 worksheets = [nbformat.new_worksheet(cells=cells)]
53
55
54 nb = nbformat.new_notebook(cells=cells)
56 nb = nbformat.new_notebook(name="notebook1", worksheets=worksheets)
57 res = self.build_resources()
55 res = self.build_resources()
58 nb, res = coalesce_streams(nb, res)
56 nb, res = coalesce_streams(nb, res)
59 outputs = nb.worksheets[0].cells[0].outputs
57 outputs = nb.cells[0].outputs
60 self.assertEqual(outputs[0].text, u'a\nb\nc\nd')
58 self.assertEqual(outputs[0].text, u'a\nb\nc\nd')
Show file before | Show file after | Hide comments
@@ -1,90 +1,88 b''
1 """
1 """
2 Module with tests for the execute preprocessor.
2 Module with tests for the execute preprocessor.
3 """
3 """
4
4
5 # Copyright (c) IPython Development Team.
5 # Copyright (c) IPython Development Team.
6 # Distributed under the terms of the Modified BSD License.
6 # Distributed under the terms of the Modified BSD License.
7
7
8 import copy
8 import copy
9 import glob
9 import glob
10 import os
10 import os
11 import re
11 import re
12
12
13 from IPython.nbformat import current as nbformat
13 from IPython.nbformat import current as nbformat
14
14
15 from .base import PreprocessorTestsBase
15 from .base import PreprocessorTestsBase
16 from ..execute import ExecutePreprocessor
16 from ..execute import ExecutePreprocessor
17
17
18 from IPython.nbconvert.filters import strip_ansi
18 from IPython.nbconvert.filters import strip_ansi
19
19
20 addr_pat = re.compile(r'0x[0-9a-f]{7,9}')
20 addr_pat = re.compile(r'0x[0-9a-f]{7,9}')
21
21
22 class TestExecute(PreprocessorTestsBase):
22 class TestExecute(PreprocessorTestsBase):
23 """Contains test functions for execute.py"""
23 """Contains test functions for execute.py"""
24
24
25 @staticmethod
25 @staticmethod
26 def normalize_output(output):
26 def normalize_output(output):
27 """
27 """
28 Normalizes outputs for comparison.
28 Normalizes outputs for comparison.
29 """
29 """
30 output = dict(output)
30 output = dict(output)
31 if 'metadata' in output:
31 if 'metadata' in output:
32 del output['metadata']
32 del output['metadata']
33 if 'text' in output:
33 if 'text/plain' in output:
34 output['text'] = re.sub(addr_pat, '<HEXADDR>', output['text'])
34 output['text/plain'] = re.sub(addr_pat, '<HEXADDR>', output['text/plain'])
35 if 'svg' in output:
36 del output['text']
37 if 'traceback' in output:
35 if 'traceback' in output:
38 tb = []
36 tb = []
39 for line in output['traceback']:
37 for line in output['traceback']:
40 tb.append(strip_ansi(line))
38 tb.append(strip_ansi(line))
41 output['traceback'] = tb
39 output['traceback'] = tb
42
40
43 return output
41 return output
44
42
45
43
46 def assert_notebooks_equal(self, expected, actual):
44 def assert_notebooks_equal(self, expected, actual):
47 expected_cells = expected['worksheets'][0]['cells']
45 expected_cells = expected['cells']
48 actual_cells = actual['worksheets'][0]['cells']
46 actual_cells = actual['cells']
49 assert len(expected_cells) == len(actual_cells)
47 assert len(expected_cells) == len(actual_cells)
50
48
51 for expected_cell, actual_cell in zip(expected_cells, actual_cells):
49 for expected_cell, actual_cell in zip(expected_cells, actual_cells):
52 expected_outputs = expected_cell.get('outputs', [])
50 expected_outputs = expected_cell.get('outputs', [])
53 actual_outputs = actual_cell.get('outputs', [])
51 actual_outputs = actual_cell.get('outputs', [])
54 normalized_expected_outputs = list(map(self.normalize_output, expected_outputs))
52 normalized_expected_outputs = list(map(self.normalize_output, expected_outputs))
55 normalized_actual_outputs = list(map(self.normalize_output, actual_outputs))
53 normalized_actual_outputs = list(map(self.normalize_output, actual_outputs))
56 assert normalized_expected_outputs == normalized_actual_outputs
54 assert normalized_expected_outputs == normalized_actual_outputs
57
55
58 expected_prompt_number = expected_cell.get('prompt_number', None)
56 expected_prompt_number = expected_cell.get('prompt_number', None)
59 actual_prompt_number = actual_cell.get('prompt_number', None)
57 actual_prompt_number = actual_cell.get('prompt_number', None)
60 assert expected_prompt_number == actual_prompt_number
58 assert expected_prompt_number == actual_prompt_number
61
59
62
60
63 def build_preprocessor(self):
61 def build_preprocessor(self):
64 """Make an instance of a preprocessor"""
62 """Make an instance of a preprocessor"""
65 preprocessor = ExecutePreprocessor()
63 preprocessor = ExecutePreprocessor()
66 preprocessor.enabled = True
64 preprocessor.enabled = True
67 return preprocessor
65 return preprocessor
68
66
69
67
70 def test_constructor(self):
68 def test_constructor(self):
71 """Can a ExecutePreprocessor be constructed?"""
69 """Can a ExecutePreprocessor be constructed?"""
72 self.build_preprocessor()
70 self.build_preprocessor()
73
71
74
72
75 def test_run_notebooks(self):
73 def test_run_notebooks(self):
76 """Runs a series of test notebooks and compares them to their actual output"""
74 """Runs a series of test notebooks and compares them to their actual output"""
77 current_dir = os.path.dirname(__file__)
75 current_dir = os.path.dirname(__file__)
78 input_files = glob.glob(os.path.join(current_dir, 'files', '*.ipynb'))
76 input_files = glob.glob(os.path.join(current_dir, 'files', '*.ipynb'))
79 for filename in input_files:
77 for filename in input_files:
80 with open(os.path.join(current_dir, 'files', filename)) as f:
78 with open(os.path.join(current_dir, 'files', filename)) as f:
81 input_nb = nbformat.read(f, 'ipynb')
79 input_nb = nbformat.read(f, 'ipynb')
82 res = self.build_resources()
80 res = self.build_resources()
83 preprocessor = self.build_preprocessor()
81 preprocessor = self.build_preprocessor()
84 cleaned_input_nb = copy.deepcopy(input_nb)
82 cleaned_input_nb = copy.deepcopy(input_nb)
85 for cell in cleaned_input_nb.worksheets[0].cells:
83 for cell in cleaned_input_nb.cells:
86 if 'prompt_number' in cell:
84 if 'prompt_number' in cell:
87 del cell['prompt_number']
85 del cell['prompt_number']
88 cell['outputs'] = []
86 cell['outputs'] = []
89 output_nb, _ = preprocessor(cleaned_input_nb, res)
87 output_nb, _ = preprocessor(cleaned_input_nb, res)
90 self.assert_notebooks_equal(output_nb, input_nb)
88 self.assert_notebooks_equal(output_nb, input_nb)
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@@ -1,74 +1,59 b''
1 """
1 """Tests for the extractoutput preprocessor"""
2 Module with tests for the extractoutput preprocessor
3 """
4
2
5 #-----------------------------------------------------------------------------
3 # Copyright (c) IPython Development Team.
6 # Copyright (c) 2013, the IPython Development Team.
7 #
8 # Distributed under the terms of the Modified BSD License.
4 # Distributed under the terms of the Modified BSD License.
9 #
10 # The full license is in the file COPYING.txt, distributed with this software.
11 #-----------------------------------------------------------------------------
12
13 #-----------------------------------------------------------------------------
14 # Imports
15 #-----------------------------------------------------------------------------
16
5
17 from .base import PreprocessorTestsBase
6 from .base import PreprocessorTestsBase
18 from ..extractoutput import ExtractOutputPreprocessor
7 from ..extractoutput import ExtractOutputPreprocessor
19
8
20
9
21 #-----------------------------------------------------------------------------
22 # Class
23 #-----------------------------------------------------------------------------
24
25 class TestExtractOutput(PreprocessorTestsBase):
10 class TestExtractOutput(PreprocessorTestsBase):
26 """Contains test functions for extractoutput.py"""
11 """Contains test functions for extractoutput.py"""
27
12
28
13
29 def build_preprocessor(self):
14 def build_preprocessor(self):
30 """Make an instance of a preprocessor"""
15 """Make an instance of a preprocessor"""
31 preprocessor = ExtractOutputPreprocessor()
16 preprocessor = ExtractOutputPreprocessor()
32 preprocessor.extract_output_types = {'text', 'png', 'application/pdf'}
17 preprocessor.extract_output_types = {'text/plain', 'image/png', 'application/pdf'}
33 preprocessor.enabled = True
18 preprocessor.enabled = True
34 return preprocessor
19 return preprocessor
35
20
36
21
37 def test_constructor(self):
22 def test_constructor(self):
38 """Can a ExtractOutputPreprocessor be constructed?"""
23 """Can a ExtractOutputPreprocessor be constructed?"""
39 self.build_preprocessor()
24 self.build_preprocessor()
40
25
41
26
42 def test_output(self):
27 def test_output(self):
43 """Test the output of the ExtractOutputPreprocessor"""
28 """Test the output of the ExtractOutputPreprocessor"""
44 nb = self.build_notebook()
29 nb = self.build_notebook()
45 res = self.build_resources()
30 res = self.build_resources()
46 preprocessor = self.build_preprocessor()
31 preprocessor = self.build_preprocessor()
47 nb, res = preprocessor(nb, res)
32 nb, res = preprocessor(nb, res)
48
33
49 # Check if text was extracted.
34 # Check if text was extracted.
50 output = nb.worksheets[0].cells[0].outputs[1]
35 output = nb.cells[0].outputs[1]
51 assert 'text_filename' in output
36 assert 'text/plain_filename' in output
52 text_filename = output['text_filename']
37 text_filename = output['text/plain_filename']
53
38
54 # Check if png was extracted.
39 # Check if png was extracted.
55 output = nb.worksheets[0].cells[0].outputs[6]
40 output = nb.cells[0].outputs[6]
56 assert 'png_filename' in output
41 assert 'image/png_filename' in output
57 png_filename = output['png_filename']
42 png_filename = output['image/png_filename']
58
43
59 # Check that pdf was extracted
44 # Check that pdf was extracted
60 output = nb.worksheets[0].cells[0].outputs[7]
45 output = nb.cells[0].outputs[7]
61 assert 'application/pdf_filename' in output
46 assert 'application/pdf_filename' in output
62 pdf_filename = output['application/pdf_filename']
47 pdf_filename = output['application/pdf_filename']
63
48
64 # Verify text output
49 # Verify text output
65 assert text_filename in res['outputs']
50 assert text_filename in res['outputs']
66 self.assertEqual(res['outputs'][text_filename], b'b')
51 self.assertEqual(res['outputs'][text_filename], b'b')
67
52
68 # Verify png output
53 # Verify png output
69 assert png_filename in res['outputs']
54 assert png_filename in res['outputs']
70 self.assertEqual(res['outputs'][png_filename], b'g')
55 self.assertEqual(res['outputs'][png_filename], b'g')
71
56
72 # Verify pdf output
57 # Verify pdf output
73 assert pdf_filename in res['outputs']
58 assert pdf_filename in res['outputs']
74 self.assertEqual(res['outputs'][pdf_filename], b'h')
59 self.assertEqual(res['outputs'][pdf_filename], b'h')
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@@ -1,68 +1,50 b''
1 """
1 """Tests for the HighlightMagics preprocessor"""
2 Module with tests for the HighlightMagics preprocessor
3 """
4
5 #-----------------------------------------------------------------------------
6 # Copyright (c) 2013, the IPython Development Team.
7 #
8 # Distributed under the terms of the Modified BSD License.
9 #
10 # The full license is in the file COPYING.txt, distributed with this software.
11 #-----------------------------------------------------------------------------
12
13 #-----------------------------------------------------------------------------
14 # Imports
15 #-----------------------------------------------------------------------------
16
2
17 from .base import PreprocessorTestsBase
3 from .base import PreprocessorTestsBase
18 from ..highlightmagics import HighlightMagicsPreprocessor
4 from ..highlightmagics import HighlightMagicsPreprocessor
19
5
20
6
21 #-----------------------------------------------------------------------------
22 # Class
23 #-----------------------------------------------------------------------------
24
25 class TestHighlightMagics(PreprocessorTestsBase):
7 class TestHighlightMagics(PreprocessorTestsBase):
26 """Contains test functions for highlightmagics.py"""
8 """Contains test functions for highlightmagics.py"""
27
9
28
10
29 def build_preprocessor(self):
11 def build_preprocessor(self):
30 """Make an instance of a preprocessor"""
12 """Make an instance of a preprocessor"""
31 preprocessor = HighlightMagicsPreprocessor()
13 preprocessor = HighlightMagicsPreprocessor()
32 preprocessor.enabled = True
14 preprocessor.enabled = True
33 return preprocessor
15 return preprocessor
34
16
35 def test_constructor(self):
17 def test_constructor(self):
36 """Can a HighlightMagicsPreprocessor be constructed?"""
18 """Can a HighlightMagicsPreprocessor be constructed?"""
37 self.build_preprocessor()
19 self.build_preprocessor()
38
20
39 def test_tagging(self):
21 def test_tagging(self):
40 """Test the HighlightMagicsPreprocessor tagging"""
22 """Test the HighlightMagicsPreprocessor tagging"""
41 nb = self.build_notebook()
23 nb = self.build_notebook()
42 res = self.build_resources()
24 res = self.build_resources()
43 preprocessor = self.build_preprocessor()
25 preprocessor = self.build_preprocessor()
44 nb.worksheets[0].cells[0].input = """%%R -i x,y -o XYcoef
26 nb.cells[0].source = """%%R -i x,y -o XYcoef
45 lm.fit <- lm(y~x)
27 lm.fit <- lm(y~x)
46 par(mfrow=c(2,2))
28 par(mfrow=c(2,2))
47 print(summary(lm.fit))
29 print(summary(lm.fit))
48 plot(lm.fit)
30 plot(lm.fit)
49 XYcoef <- coef(lm.fit)"""
31 XYcoef <- coef(lm.fit)"""
50
32
51 nb, res = preprocessor(nb, res)
33 nb, res = preprocessor(nb, res)
52
34
53 assert('magics_language' in nb.worksheets[0].cells[0]['metadata'])
35 assert('magics_language' in nb.cells[0]['metadata'])
54
36
55 self.assertEqual(nb.worksheets[0].cells[0]['metadata']['magics_language'], 'r')
37 self.assertEqual(nb.cells[0]['metadata']['magics_language'], 'r')
56
38
57 def test_no_false_positive(self):
39 def test_no_false_positive(self):
58 """Test that HighlightMagicsPreprocessor does not tag false positives"""
40 """Test that HighlightMagicsPreprocessor does not tag false positives"""
59 nb = self.build_notebook()
41 nb = self.build_notebook()
60 res = self.build_resources()
42 res = self.build_resources()
61 preprocessor = self.build_preprocessor()
43 preprocessor = self.build_preprocessor()
62 nb.worksheets[0].cells[0].input = """# this should not be detected
44 nb.cells[0].source = """# this should not be detected
63 print(\"""
45 print(\"""
64 %%R -i x, y
46 %%R -i x, y
65 \""")"""
47 \""")"""
66 nb, res = preprocessor(nb, res)
48 nb, res = preprocessor(nb, res)
67
49
68 assert('magics_language' not in nb.worksheets[0].cells[0]['metadata']) No newline at end of file
50 assert('magics_language' not in nb.cells[0]['metadata']) No newline at end of file
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@@ -1,51 +1,36 b''
1 """
1 """Tests for the latex preprocessor"""
2 Module with tests for the latex preprocessor
3 """
4
2
5 #-----------------------------------------------------------------------------
3 # Copyright (c) IPython Development Team.
6 # Copyright (c) 2013, the IPython Development Team.
7 #
8 # Distributed under the terms of the Modified BSD License.
4 # Distributed under the terms of the Modified BSD License.
9 #
10 # The full license is in the file COPYING.txt, distributed with this software.
11 #-----------------------------------------------------------------------------
12
13 #-----------------------------------------------------------------------------
14 # Imports
15 #-----------------------------------------------------------------------------
16
5
17 from .base import PreprocessorTestsBase
6 from .base import PreprocessorTestsBase
18 from ..latex import LatexPreprocessor
7 from ..latex import LatexPreprocessor
19
8
20
9
21 #-----------------------------------------------------------------------------
22 # Class
23 #-----------------------------------------------------------------------------
24
25 class TestLatex(PreprocessorTestsBase):
10 class TestLatex(PreprocessorTestsBase):
26 """Contains test functions for latex.py"""
11 """Contains test functions for latex.py"""
27
12
28
13
29 def build_preprocessor(self):
14 def build_preprocessor(self):
30 """Make an instance of a preprocessor"""
15 """Make an instance of a preprocessor"""
31 preprocessor = LatexPreprocessor()
16 preprocessor = LatexPreprocessor()
32 preprocessor.enabled = True
17 preprocessor.enabled = True
33 return preprocessor
18 return preprocessor
34
19
35 def test_constructor(self):
20 def test_constructor(self):
36 """Can a LatexPreprocessor be constructed?"""
21 """Can a LatexPreprocessor be constructed?"""
37 self.build_preprocessor()
22 self.build_preprocessor()
38
23
39
24
40 def test_output(self):
25 def test_output(self):
41 """Test the output of the LatexPreprocessor"""
26 """Test the output of the LatexPreprocessor"""
42 nb = self.build_notebook()
27 nb = self.build_notebook()
43 res = self.build_resources()
28 res = self.build_resources()
44 preprocessor = self.build_preprocessor()
29 preprocessor = self.build_preprocessor()
45 nb, res = preprocessor(nb, res)
30 nb, res = preprocessor(nb, res)
46
31
47 # Make sure the code cell wasn't modified.
32 # Make sure the code cell wasn't modified.
48 self.assertEqual(nb.worksheets[0].cells[0].input, '$ e $')
33 self.assertEqual(nb.cells[0].source, '$ e $')
49
34
50 # Verify that the markdown cell wasn't processed.
35 # Verify that the markdown cell wasn't processed.
51 self.assertEqual(nb.worksheets[0].cells[1].source, '$ e $')
36 self.assertEqual(nb.cells[1].source, '$ e $')
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@@ -1,79 +1,78 b''
1 """Tests for the revealhelp preprocessor"""
1 """Tests for the revealhelp preprocessor"""
2
2
3 # Copyright (c) IPython Development Team.
3 # Copyright (c) IPython Development Team.
4 # Distributed under the terms of the Modified BSD License.
4 # Distributed under the terms of the Modified BSD License.
5
5
6 from IPython.nbformat import current as nbformat
6 from IPython.nbformat import current as nbformat
7
7
8 from .base import PreprocessorTestsBase
8 from .base import PreprocessorTestsBase
9 from ..revealhelp import RevealHelpPreprocessor
9 from ..revealhelp import RevealHelpPreprocessor
10
10
11
11
12 class Testrevealhelp(PreprocessorTestsBase):
12 class Testrevealhelp(PreprocessorTestsBase):
13 """Contains test functions for revealhelp.py"""
13 """Contains test functions for revealhelp.py"""
14
14
15 def build_notebook(self):
15 def build_notebook(self):
16 """Build a reveal slides notebook in memory for use with tests.
16 """Build a reveal slides notebook in memory for use with tests.
17 Overrides base in PreprocessorTestsBase"""
17 Overrides base in PreprocessorTestsBase"""
18
18
19 outputs = [nbformat.new_output(output_type="stream", stream="stdout", output_text="a")]
19 outputs = [nbformat.new_output(output_type="stream", name="stdout", text="a")]
20
20
21 slide_metadata = {'slideshow' : {'slide_type': 'slide'}}
21 slide_metadata = {'slideshow' : {'slide_type': 'slide'}}
22 subslide_metadata = {'slideshow' : {'slide_type': 'subslide'}}
22 subslide_metadata = {'slideshow' : {'slide_type': 'subslide'}}
23
23
24 cells=[nbformat.new_code_cell(input="", prompt_number=1, outputs=outputs),
24 cells=[nbformat.new_code_cell(source="", prompt_number=1, outputs=outputs),
25 nbformat.new_text_cell('markdown', source="", metadata=slide_metadata),
25 nbformat.new_markdown_cell(source="", metadata=slide_metadata),
26 nbformat.new_code_cell(input="", prompt_number=2, outputs=outputs),
26 nbformat.new_code_cell(source="", prompt_number=2, outputs=outputs),
27 nbformat.new_text_cell('markdown', source="", metadata=slide_metadata),
27 nbformat.new_markdown_cell(source="", metadata=slide_metadata),
28 nbformat.new_text_cell('markdown', source="", metadata=subslide_metadata)]
28 nbformat.new_markdown_cell(source="", metadata=subslide_metadata)]
29 worksheets = [nbformat.new_worksheet(cells=cells)]
30
29
31 return nbformat.new_notebook(name="notebook1", worksheets=worksheets)
30 return nbformat.new_notebook(cells=cells)
32
31
33
32
34 def build_preprocessor(self):
33 def build_preprocessor(self):
35 """Make an instance of a preprocessor"""
34 """Make an instance of a preprocessor"""
36 preprocessor = RevealHelpPreprocessor()
35 preprocessor = RevealHelpPreprocessor()
37 preprocessor.enabled = True
36 preprocessor.enabled = True
38 return preprocessor
37 return preprocessor
39
38
40
39
41 def test_constructor(self):
40 def test_constructor(self):
42 """Can a RevealHelpPreprocessor be constructed?"""
41 """Can a RevealHelpPreprocessor be constructed?"""
43 self.build_preprocessor()
42 self.build_preprocessor()
44
43
45
44
46 def test_reveal_attribute(self):
45 def test_reveal_attribute(self):
47 """Make sure the reveal url_prefix resources is set"""
46 """Make sure the reveal url_prefix resources is set"""
48 nb = self.build_notebook()
47 nb = self.build_notebook()
49 res = self.build_resources()
48 res = self.build_resources()
50 preprocessor = self.build_preprocessor()
49 preprocessor = self.build_preprocessor()
51 nb, res = preprocessor(nb, res)
50 nb, res = preprocessor(nb, res)
52 assert 'reveal' in res
51 assert 'reveal' in res
53 assert 'url_prefix' in res['reveal']
52 assert 'url_prefix' in res['reveal']
54
53
55
54
56 def test_reveal_output(self):
55 def test_reveal_output(self):
57 """Make sure that the reveal preprocessor """
56 """Make sure that the reveal preprocessor """
58 nb = self.build_notebook()
57 nb = self.build_notebook()
59 res = self.build_resources()
58 res = self.build_resources()
60 preprocessor = self.build_preprocessor()
59 preprocessor = self.build_preprocessor()
61 nb, res = preprocessor(nb, res)
60 nb, res = preprocessor(nb, res)
62 cells = nb.worksheets[0].cells
61 cells = nb.cells
63
62
64 # Make sure correct metadata tags are available on every cell.
63 # Make sure correct metadata tags are available on every cell.
65 for cell in cells:
64 for cell in cells:
66 assert 'slide_type' in cell.metadata
65 assert 'slide_type' in cell.metadata
67
66
68 # Make sure slide end is only applied to the cells preceeding slide
67 # Make sure slide end is only applied to the cells preceeding slide
69 # cells.
68 # cells.
70 assert 'slide_helper' in cells[1].metadata
69 assert 'slide_helper' in cells[1].metadata
71 self.assertEqual(cells[1].metadata['slide_helper'], '-')
70 self.assertEqual(cells[1].metadata['slide_helper'], '-')
72
71
73 # Verify 'slide-end'
72 # Verify 'slide-end'
74 assert 'slide_helper' in cells[0].metadata
73 assert 'slide_helper' in cells[0].metadata
75 self.assertEqual(cells[0].metadata['slide_helper'], 'slide_end')
74 self.assertEqual(cells[0].metadata['slide_helper'], 'slide_end')
76 assert 'slide_helper' in cells[2].metadata
75 assert 'slide_helper' in cells[2].metadata
77 self.assertEqual(cells[2].metadata['slide_helper'], 'slide_end')
76 self.assertEqual(cells[2].metadata['slide_helper'], 'slide_end')
78 assert 'slide_helper' in cells[3].metadata
77 assert 'slide_helper' in cells[3].metadata
79 self.assertEqual(cells[3].metadata['slide_helper'], 'subslide_end')
78 self.assertEqual(cells[3].metadata['slide_helper'], 'subslide_end')
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@@ -1,90 +1,74 b''
1 """
1 """Tests for the svg2pdf preprocessor"""
2 Module with tests for the svg2pdf preprocessor
3 """
4
2
5 #-----------------------------------------------------------------------------
3 # Copyright (c) IPython Development Team.
6 # Copyright (c) 2013, the IPython Development Team.
7 #
8 # Distributed under the terms of the Modified BSD License.
4 # Distributed under the terms of the Modified BSD License.
9 #
10 # The full license is in the file COPYING.txt, distributed with this software.
11 #-----------------------------------------------------------------------------
12
13 #-----------------------------------------------------------------------------
14 # Imports
15 #-----------------------------------------------------------------------------
16
5
17 from IPython.testing import decorators as dec
6 from IPython.testing import decorators as dec
18 from IPython.nbformat import current as nbformat
7 from IPython.nbformat import current as nbformat
19
8
20 from .base import PreprocessorTestsBase
9 from .base import PreprocessorTestsBase
21 from ..svg2pdf import SVG2PDFPreprocessor
10 from ..svg2pdf import SVG2PDFPreprocessor
22
11
23
12
24 #-----------------------------------------------------------------------------
25 # Class
26 #-----------------------------------------------------------------------------
27
28 class Testsvg2pdf(PreprocessorTestsBase):
13 class Testsvg2pdf(PreprocessorTestsBase):
29 """Contains test functions for svg2pdf.py"""
14 """Contains test functions for svg2pdf.py"""
30
15
31 simple_svg = """<?xml version="1.0" encoding="UTF-8" standalone="no"?>
16 simple_svg = """<?xml version="1.0" encoding="UTF-8" standalone="no"?>
32 <!-- Created with Inkscape (http://www.inkscape.org/) -->
17 <!-- Created with Inkscape (http://www.inkscape.org/) -->
33 <svg
18 <svg
34 xmlns:svg="http://www.w3.org/2000/svg"
19 xmlns:svg="http://www.w3.org/2000/svg"
35 xmlns="http://www.w3.org/2000/svg"
20 xmlns="http://www.w3.org/2000/svg"
36 version="1.0"
21 version="1.0"
37 x="0.00000000"
22 x="0.00000000"
38 y="0.00000000"
23 y="0.00000000"
39 width="500.00000"
24 width="500.00000"
40 height="500.00000"
25 height="500.00000"
41 id="svg2">
26 id="svg2">
42 <defs
27 <defs
43 id="defs4" />
28 id="defs4" />
44 <g
29 <g
45 id="layer1">
30 id="layer1">
46 <rect
31 <rect
47 width="300.00000"
32 width="300.00000"
48 height="300.00000"
33 height="300.00000"
49 x="100.00000"
34 x="100.00000"
50 y="100.00000"
35 y="100.00000"
51 style="opacity:1.0000000;fill:none;fill-opacity:1.0000000;fill-rule:evenodd;stroke:#000000;stroke-width:8.0000000;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:4.0000000;stroke-dasharray:none;stroke-dashoffset:0.00000000;stroke-opacity:1.0000000"
36 style="opacity:1.0000000;fill:none;fill-opacity:1.0000000;fill-rule:evenodd;stroke:#000000;stroke-width:8.0000000;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:4.0000000;stroke-dasharray:none;stroke-dashoffset:0.00000000;stroke-opacity:1.0000000"
52 id="rect5719" />
37 id="rect5719" />
53 </g>
38 </g>
54 </svg>"""
39 </svg>"""
55
40
56 def build_notebook(self):
41 def build_notebook(self):
57 """Build a reveal slides notebook in memory for use with tests.
42 """Build a reveal slides notebook in memory for use with tests.
58 Overrides base in PreprocessorTestsBase"""
43 Overrides base in PreprocessorTestsBase"""
59
44
60 outputs = [nbformat.new_output(output_type="svg", output_svg=self.simple_svg)]
45 outputs = [nbformat.new_output(output_type="svg", output_svg=self.simple_svg)]
61
46
62 slide_metadata = {'slideshow' : {'slide_type': 'slide'}}
47 slide_metadata = {'slideshow' : {'slide_type': 'slide'}}
63 subslide_metadata = {'slideshow' : {'slide_type': 'subslide'}}
48 subslide_metadata = {'slideshow' : {'slide_type': 'subslide'}}
64
49
65 cells=[nbformat.new_code_cell(input="", prompt_number=1, outputs=outputs)]
50 cells=[nbformat.new_code_cell(source="", prompt_number=1, outputs=outputs)]
66 worksheets = [nbformat.new_worksheet(name="worksheet1", cells=cells)]
67
51
68 return nbformat.new_notebook(name="notebook1", worksheets=worksheets)
52 return nbformat.new_notebook(cells=cells)
69
53
70
54
71 def build_preprocessor(self):
55 def build_preprocessor(self):
72 """Make an instance of a preprocessor"""
56 """Make an instance of a preprocessor"""
73 preprocessor = SVG2PDFPreprocessor()
57 preprocessor = SVG2PDFPreprocessor()
74 preprocessor.enabled = True
58 preprocessor.enabled = True
75 return preprocessor
59 return preprocessor
76
60
77
61
78 def test_constructor(self):
62 def test_constructor(self):
79 """Can a SVG2PDFPreprocessor be constructed?"""
63 """Can a SVG2PDFPreprocessor be constructed?"""
80 self.build_preprocessor()
64 self.build_preprocessor()
81
65
82
66
83 @dec.onlyif_cmds_exist('inkscape')
67 @dec.onlyif_cmds_exist('inkscape')
84 def test_output(self):
68 def test_output(self):
85 """Test the output of the SVG2PDFPreprocessor"""
69 """Test the output of the SVG2PDFPreprocessor"""
86 nb = self.build_notebook()
70 nb = self.build_notebook()
87 res = self.build_resources()
71 res = self.build_resources()
88 preprocessor = self.build_preprocessor()
72 preprocessor = self.build_preprocessor()
89 nb, res = preprocessor(nb, res)
73 nb, res = preprocessor(nb, res)
90 assert 'svg' in nb.worksheets[0].cells[0].outputs[0]
74 assert 'svg' in nb.cells[0].outputs[0]
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@@ -1,203 +1,203 b''
1 {%- extends 'display_priority.tpl' -%}
1 {%- extends 'display_priority.tpl' -%}
2
2
3
3
4 {% block codecell %}
4 {% block codecell %}
5 <div class="cell border-box-sizing code_cell rendered">
5 <div class="cell border-box-sizing code_cell rendered">
6 {{ super() }}
6 {{ super() }}
7 </div>
7 </div>
8 {%- endblock codecell %}
8 {%- endblock codecell %}
9
9
10 {% block input_group -%}
10 {% block input_group -%}
11 <div class="input">
11 <div class="input">
12 {{ super() }}
12 {{ super() }}
13 </div>
13 </div>
14 {% endblock input_group %}
14 {% endblock input_group %}
15
15
16 {% block output_group %}
16 {% block output_group %}
17 <div class="output_wrapper">
17 <div class="output_wrapper">
18 <div class="output">
18 <div class="output">
19 {{ super() }}
19 {{ super() }}
20 </div>
20 </div>
21 </div>
21 </div>
22 {% endblock output_group %}
22 {% endblock output_group %}
23
23
24 {% block in_prompt -%}
24 {% block in_prompt -%}
25 <div class="prompt input_prompt">
25 <div class="prompt input_prompt">
26 {%- if cell.prompt_number is defined -%}
26 {%- if cell.prompt_number is defined -%}
27 In&nbsp;[{{ cell.prompt_number|replace(None, "&nbsp;") }}]:
27 In&nbsp;[{{ cell.prompt_number|replace(None, "&nbsp;") }}]:
28 {%- else -%}
28 {%- else -%}
29 In&nbsp;[&nbsp;]:
29 In&nbsp;[&nbsp;]:
30 {%- endif -%}
30 {%- endif -%}
31 </div>
31 </div>
32 {%- endblock in_prompt %}
32 {%- endblock in_prompt %}
33
33
34 {% block empty_in_prompt -%}
34 {% block empty_in_prompt -%}
35 <div class="prompt input_prompt">
35 <div class="prompt input_prompt">
36 </div>
36 </div>
37 {%- endblock empty_in_prompt %}
37 {%- endblock empty_in_prompt %}
38
38
39 {#
39 {#
40 output_prompt doesn't do anything in HTML,
40 output_prompt doesn't do anything in HTML,
41 because there is a prompt div in each output area (see output block)
41 because there is a prompt div in each output area (see output block)
42 #}
42 #}
43 {% block output_prompt %}
43 {% block output_prompt %}
44 {% endblock output_prompt %}
44 {% endblock output_prompt %}
45
45
46 {% block input %}
46 {% block input %}
47 <div class="inner_cell">
47 <div class="inner_cell">
48 <div class="input_area">
48 <div class="input_area">
49 {{ cell.input | highlight_code(metadata=cell.metadata) }}
49 {{ cell.source | highlight_code(metadata=cell.metadata) }}
50 </div>
50 </div>
51 </div>
51 </div>
52 {%- endblock input %}
52 {%- endblock input %}
53
53
54 {% block output %}
54 {% block output %}
55 <div class="output_area">
55 <div class="output_area">
56 {%- if output.output_type == 'pyout' -%}
56 {%- if output.output_type == 'execute_result' -%}
57 <div class="prompt output_prompt">
57 <div class="prompt output_prompt">
58 {%- if cell.prompt_number is defined -%}
58 {%- if cell.prompt_number is defined -%}
59 Out[{{ cell.prompt_number|replace(None, "&nbsp;") }}]:
59 Out[{{ cell.prompt_number|replace(None, "&nbsp;") }}]:
60 {%- else -%}
60 {%- else -%}
61 Out[&nbsp;]:
61 Out[&nbsp;]:
62 {%- endif -%}
62 {%- endif -%}
63 {%- else -%}
63 {%- else -%}
64 <div class="prompt">
64 <div class="prompt">
65 {%- endif -%}
65 {%- endif -%}
66 </div>
66 </div>
67 {{ super() }}
67 {{ super() }}
68 </div>
68 </div>
69 {% endblock output %}
69 {% endblock output %}
70
70
71 {% block markdowncell scoped %}
71 {% block markdowncell scoped %}
72 <div class="cell border-box-sizing text_cell rendered">
72 <div class="cell border-box-sizing text_cell rendered">
73 {{ self.empty_in_prompt() }}
73 {{ self.empty_in_prompt() }}
74 <div class="inner_cell">
74 <div class="inner_cell">
75 <div class="text_cell_render border-box-sizing rendered_html">
75 <div class="text_cell_render border-box-sizing rendered_html">
76 {{ cell.source | markdown2html | strip_files_prefix }}
76 {{ cell.source | markdown2html | strip_files_prefix }}
77 </div>
77 </div>
78 </div>
78 </div>
79 </div>
79 </div>
80 {%- endblock markdowncell %}
80 {%- endblock markdowncell %}
81
81
82 {% block headingcell scoped %}
82 {% block headingcell scoped %}
83 <div class="cell border-box-sizing text_cell rendered">
83 <div class="cell border-box-sizing text_cell rendered">
84 {{ self.empty_in_prompt() }}
84 {{ self.empty_in_prompt() }}
85 <div class="inner_cell">
85 <div class="inner_cell">
86 <div class="text_cell_render border-box-sizing rendered_html">
86 <div class="text_cell_render border-box-sizing rendered_html">
87 {{ ("#" * cell.level + cell.source) | replace('\n', ' ') | markdown2html | strip_files_prefix | add_anchor }}
87 {{ ("#" * cell.level + cell.source) | replace('\n', ' ') | markdown2html | strip_files_prefix | add_anchor }}
88 </div>
88 </div>
89 </div>
89 </div>
90 </div>
90 </div>
91 {% endblock headingcell %}
91 {% endblock headingcell %}
92
92
93 {% block unknowncell scoped %}
93 {% block unknowncell scoped %}
94 unknown type {{ cell.type }}
94 unknown type {{ cell.type }}
95 {% endblock unknowncell %}
95 {% endblock unknowncell %}
96
96
97 {% block pyout -%}
97 {% block execute_result -%}
98 {%- set extra_class="output_pyout" -%}
98 {%- set extra_class="output_execute_result" -%}
99 {% block data_priority scoped %}
99 {% block data_priority scoped %}
100 {{ super() }}
100 {{ super() }}
101 {% endblock %}
101 {% endblock %}
102 {%- set extra_class="" -%}
102 {%- set extra_class="" -%}
103 {%- endblock pyout %}
103 {%- endblock execute_result %}
104
104
105 {% block stream_stdout -%}
105 {% block stream_stdout -%}
106 <div class="output_subarea output_stream output_stdout output_text">
106 <div class="output_subarea output_stream output_stdout output_text">
107 <pre>
107 <pre>
108 {{- output.text | ansi2html -}}
108 {{- output.text | ansi2html -}}
109 </pre>
109 </pre>
110 </div>
110 </div>
111 {%- endblock stream_stdout %}
111 {%- endblock stream_stdout %}
112
112
113 {% block stream_stderr -%}
113 {% block stream_stderr -%}
114 <div class="output_subarea output_stream output_stderr output_text">
114 <div class="output_subarea output_stream output_stderr output_text">
115 <pre>
115 <pre>
116 {{- output.text | ansi2html -}}
116 {{- output.text | ansi2html -}}
117 </pre>
117 </pre>
118 </div>
118 </div>
119 {%- endblock stream_stderr %}
119 {%- endblock stream_stderr %}
120
120
121 {% block data_svg scoped -%}
121 {% block data_svg scoped -%}
122 <div class="output_svg output_subarea {{extra_class}}">
122 <div class="output_svg output_subarea {{extra_class}}">
123 {%- if output.svg_filename %}
123 {%- if output.svg_filename %}
124 <img src="{{output.svg_filename | posix_path}}"
124 <img src="{{output.svg_filename | posix_path}}"
125 {%- else %}
125 {%- else %}
126 {{ output.svg }}
126 {{ output.svg }}
127 {%- endif %}
127 {%- endif %}
128 </div>
128 </div>
129 {%- endblock data_svg %}
129 {%- endblock data_svg %}
130
130
131 {% block data_html scoped -%}
131 {% block data_html scoped -%}
132 <div class="output_html rendered_html output_subarea {{extra_class}}">
132 <div class="output_html rendered_html output_subarea {{extra_class}}">
133 {{ output.html }}
133 {{ output.html }}
134 </div>
134 </div>
135 {%- endblock data_html %}
135 {%- endblock data_html %}
136
136
137 {% block data_png scoped %}
137 {% block data_png scoped %}
138 <div class="output_png output_subarea {{extra_class}}">
138 <div class="output_png output_subarea {{extra_class}}">
139 {%- if output.png_filename %}
139 {%- if output.png_filename %}
140 <img src="{{output.png_filename | posix_path}}"
140 <img src="{{output.png_filename | posix_path}}"
141 {%- else %}
141 {%- else %}
142 <img src="data:image/png;base64,{{ output.png }}"
142 <img src="data:image/png;base64,{{ output.png }}"
143 {%- endif %}
143 {%- endif %}
144 {%- if 'metadata' in output and 'width' in output.metadata.get('png', {}) %}
144 {%- if 'metadata' in output and 'width' in output.metadata.get('png', {}) %}
145 width={{output.metadata['png']['width']}}
145 width={{output.metadata['png']['width']}}
146 {%- endif %}
146 {%- endif %}
147 {%- if 'metadata' in output and 'height' in output.metadata.get('png', {}) %}
147 {%- if 'metadata' in output and 'height' in output.metadata.get('png', {}) %}
148 height={{output.metadata['png']['height']}}
148 height={{output.metadata['png']['height']}}
149 {%- endif %}
149 {%- endif %}
150 >
150 >
151 </div>
151 </div>
152 {%- endblock data_png %}
152 {%- endblock data_png %}
153
153
154 {% block data_jpg scoped %}
154 {% block data_jpg scoped %}
155 <div class="output_jpeg output_subarea {{extra_class}}">
155 <div class="output_jpeg output_subarea {{extra_class}}">
156 {%- if output.jpeg_filename %}
156 {%- if output.jpeg_filename %}
157 <img src="{{output.jpeg_filename | posix_path}}"
157 <img src="{{output.jpeg_filename | posix_path}}"
158 {%- else %}
158 {%- else %}
159 <img src="data:image/jpeg;base64,{{ output.jpeg }}"
159 <img src="data:image/jpeg;base64,{{ output.jpeg }}"
160 {%- endif %}
160 {%- endif %}
161 {%- if 'metadata' in output and 'width' in output.metadata.get('jpeg', {}) %}
161 {%- if 'metadata' in output and 'width' in output.metadata.get('jpeg', {}) %}
162 width={{output.metadata['jpeg']['width']}}
162 width={{output.metadata['jpeg']['width']}}
163 {%- endif %}
163 {%- endif %}
164 {%- if 'metadata' in output and 'height' in output.metadata.get('jpeg', {}) %}
164 {%- if 'metadata' in output and 'height' in output.metadata.get('jpeg', {}) %}
165 height={{output.metadata['jpeg']['height']}}
165 height={{output.metadata['jpeg']['height']}}
166 {%- endif %}
166 {%- endif %}
167 >
167 >
168 </div>
168 </div>
169 {%- endblock data_jpg %}
169 {%- endblock data_jpg %}
170
170
171 {% block data_latex scoped %}
171 {% block data_latex scoped %}
172 <div class="output_latex output_subarea {{extra_class}}">
172 <div class="output_latex output_subarea {{extra_class}}">
173 {{ output.latex }}
173 {{ output.latex }}
174 </div>
174 </div>
175 {%- endblock data_latex %}
175 {%- endblock data_latex %}
176
176
177 {% block pyerr -%}
177 {% block error -%}
178 <div class="output_subarea output_text output_pyerr">
178 <div class="output_subarea output_text output_error">
179 <pre>
179 <pre>
180 {{- super() -}}
180 {{- super() -}}
181 </pre>
181 </pre>
182 </div>
182 </div>
183 {%- endblock pyerr %}
183 {%- endblock error %}
184
184
185 {%- block traceback_line %}
185 {%- block traceback_line %}
186 {{ line | ansi2html }}
186 {{ line | ansi2html }}
187 {%- endblock traceback_line %}
187 {%- endblock traceback_line %}
188
188
189 {%- block data_text scoped %}
189 {%- block data_text scoped %}
190 <div class="output_text output_subarea {{extra_class}}">
190 <div class="output_text output_subarea {{extra_class}}">
191 <pre>
191 <pre>
192 {{- output.text | ansi2html -}}
192 {{- output.text | ansi2html -}}
193 </pre>
193 </pre>
194 </div>
194 </div>
195 {%- endblock -%}
195 {%- endblock -%}
196
196
197 {%- block data_javascript scoped %}
197 {%- block data_javascript scoped %}
198 <div class="output_subarea output_javascript {{extra_class}}">
198 <div class="output_subarea output_javascript {{extra_class}}">
199 <script type="text/javascript">
199 <script type="text/javascript">
200 {{ output.javascript }}
200 {{ output.javascript }}
201 </script>
201 </script>
202 </div>
202 </div>
203 {%- endblock -%}
203 {%- endblock -%}
Show file before | Show file after | Hide comments
@@ -1,223 +1,223 b''
1 ((= Latex base template (must inherit)
1 ((= Latex base template (must inherit)
2 This template builds upon the abstract template, adding common latex output
2 This template builds upon the abstract template, adding common latex output
3 functions. Figures, data_text,
3 functions. Figures, data_text,
4 This template does not define a docclass, the inheriting class must define this.=))
4 This template does not define a docclass, the inheriting class must define this.=))
5
5
6 ((*- extends 'display_priority.tplx' -*))
6 ((*- extends 'display_priority.tplx' -*))
7
7
8 %===============================================================================
8 %===============================================================================
9 % Abstract overrides
9 % Abstract overrides
10 %===============================================================================
10 %===============================================================================
11
11
12 ((* block header *))
12 ((* block header *))
13 ((* block docclass *))((* endblock docclass *))
13 ((* block docclass *))((* endblock docclass *))
14
14
15 ((* block packages *))
15 ((* block packages *))
16 \usepackage{graphicx} % Used to insert images
16 \usepackage{graphicx} % Used to insert images
17 \usepackage{adjustbox} % Used to constrain images to a maximum size
17 \usepackage{adjustbox} % Used to constrain images to a maximum size
18 \usepackage{color} % Allow colors to be defined
18 \usepackage{color} % Allow colors to be defined
19 \usepackage{enumerate} % Needed for markdown enumerations to work
19 \usepackage{enumerate} % Needed for markdown enumerations to work
20 \usepackage{geometry} % Used to adjust the document margins
20 \usepackage{geometry} % Used to adjust the document margins
21 \usepackage{amsmath} % Equations
21 \usepackage{amsmath} % Equations
22 \usepackage{amssymb} % Equations
22 \usepackage{amssymb} % Equations
23 \usepackage[mathletters]{ucs} % Extended unicode (utf-8) support
23 \usepackage[mathletters]{ucs} % Extended unicode (utf-8) support
24 \usepackage[utf8x]{inputenc} % Allow utf-8 characters in the tex document
24 \usepackage[utf8x]{inputenc} % Allow utf-8 characters in the tex document
25 \usepackage{fancyvrb} % verbatim replacement that allows latex
25 \usepackage{fancyvrb} % verbatim replacement that allows latex
26 \usepackage{grffile} % extends the file name processing of package graphics
26 \usepackage{grffile} % extends the file name processing of package graphics
27 % to support a larger range
27 % to support a larger range
28 % The hyperref package gives us a pdf with properly built
28 % The hyperref package gives us a pdf with properly built
29 % internal navigation ('pdf bookmarks' for the table of contents,
29 % internal navigation ('pdf bookmarks' for the table of contents,
30 % internal cross-reference links, web links for URLs, etc.)
30 % internal cross-reference links, web links for URLs, etc.)
31 \usepackage{hyperref}
31 \usepackage{hyperref}
32 \usepackage{longtable} % longtable support required by pandoc >1.10
32 \usepackage{longtable} % longtable support required by pandoc >1.10
33 \usepackage{booktabs} % table support for pandoc > 1.12.2
33 \usepackage{booktabs} % table support for pandoc > 1.12.2
34 ((* endblock packages *))
34 ((* endblock packages *))
35
35
36 ((* block definitions *))
36 ((* block definitions *))
37 \definecolor{orange}{cmyk}{0,0.4,0.8,0.2}
37 \definecolor{orange}{cmyk}{0,0.4,0.8,0.2}
38 \definecolor{darkorange}{rgb}{.71,0.21,0.01}
38 \definecolor{darkorange}{rgb}{.71,0.21,0.01}
39 \definecolor{darkgreen}{rgb}{.12,.54,.11}
39 \definecolor{darkgreen}{rgb}{.12,.54,.11}
40 \definecolor{myteal}{rgb}{.26, .44, .56}
40 \definecolor{myteal}{rgb}{.26, .44, .56}
41 \definecolor{gray}{gray}{0.45}
41 \definecolor{gray}{gray}{0.45}
42 \definecolor{lightgray}{gray}{.95}
42 \definecolor{lightgray}{gray}{.95}
43 \definecolor{mediumgray}{gray}{.8}
43 \definecolor{mediumgray}{gray}{.8}
44 \definecolor{inputbackground}{rgb}{.95, .95, .85}
44 \definecolor{inputbackground}{rgb}{.95, .95, .85}
45 \definecolor{outputbackground}{rgb}{.95, .95, .95}
45 \definecolor{outputbackground}{rgb}{.95, .95, .95}
46 \definecolor{traceback}{rgb}{1, .95, .95}
46 \definecolor{traceback}{rgb}{1, .95, .95}
47 % ansi colors
47 % ansi colors
48 \definecolor{red}{rgb}{.6,0,0}
48 \definecolor{red}{rgb}{.6,0,0}
49 \definecolor{green}{rgb}{0,.65,0}
49 \definecolor{green}{rgb}{0,.65,0}
50 \definecolor{brown}{rgb}{0.6,0.6,0}
50 \definecolor{brown}{rgb}{0.6,0.6,0}
51 \definecolor{blue}{rgb}{0,.145,.698}
51 \definecolor{blue}{rgb}{0,.145,.698}
52 \definecolor{purple}{rgb}{.698,.145,.698}
52 \definecolor{purple}{rgb}{.698,.145,.698}
53 \definecolor{cyan}{rgb}{0,.698,.698}
53 \definecolor{cyan}{rgb}{0,.698,.698}
54 \definecolor{lightgray}{gray}{0.5}
54 \definecolor{lightgray}{gray}{0.5}
55
55
56 % bright ansi colors
56 % bright ansi colors
57 \definecolor{darkgray}{gray}{0.25}
57 \definecolor{darkgray}{gray}{0.25}
58 \definecolor{lightred}{rgb}{1.0,0.39,0.28}
58 \definecolor{lightred}{rgb}{1.0,0.39,0.28}
59 \definecolor{lightgreen}{rgb}{0.48,0.99,0.0}
59 \definecolor{lightgreen}{rgb}{0.48,0.99,0.0}
60 \definecolor{lightblue}{rgb}{0.53,0.81,0.92}
60 \definecolor{lightblue}{rgb}{0.53,0.81,0.92}
61 \definecolor{lightpurple}{rgb}{0.87,0.63,0.87}
61 \definecolor{lightpurple}{rgb}{0.87,0.63,0.87}
62 \definecolor{lightcyan}{rgb}{0.5,1.0,0.83}
62 \definecolor{lightcyan}{rgb}{0.5,1.0,0.83}
63
63
64 % commands and environments needed by pandoc snippets
64 % commands and environments needed by pandoc snippets
65 % extracted from the output of `pandoc -s`
65 % extracted from the output of `pandoc -s`
66 \DefineVerbatimEnvironment{Highlighting}{Verbatim}{commandchars=\\\{\}}
66 \DefineVerbatimEnvironment{Highlighting}{Verbatim}{commandchars=\\\{\}}
67 % Add ',fontsize=\small' for more characters per line
67 % Add ',fontsize=\small' for more characters per line
68 \newenvironment{Shaded}{}{}
68 \newenvironment{Shaded}{}{}
69 \newcommand{\KeywordTok}[1]{\textcolor[rgb]{0.00,0.44,0.13}{\textbf{{#1}}}}
69 \newcommand{\KeywordTok}[1]{\textcolor[rgb]{0.00,0.44,0.13}{\textbf{{#1}}}}
70 \newcommand{\DataTypeTok}[1]{\textcolor[rgb]{0.56,0.13,0.00}{{#1}}}
70 \newcommand{\DataTypeTok}[1]{\textcolor[rgb]{0.56,0.13,0.00}{{#1}}}
71 \newcommand{\DecValTok}[1]{\textcolor[rgb]{0.25,0.63,0.44}{{#1}}}
71 \newcommand{\DecValTok}[1]{\textcolor[rgb]{0.25,0.63,0.44}{{#1}}}
72 \newcommand{\BaseNTok}[1]{\textcolor[rgb]{0.25,0.63,0.44}{{#1}}}
72 \newcommand{\BaseNTok}[1]{\textcolor[rgb]{0.25,0.63,0.44}{{#1}}}
73 \newcommand{\FloatTok}[1]{\textcolor[rgb]{0.25,0.63,0.44}{{#1}}}
73 \newcommand{\FloatTok}[1]{\textcolor[rgb]{0.25,0.63,0.44}{{#1}}}
74 \newcommand{\CharTok}[1]{\textcolor[rgb]{0.25,0.44,0.63}{{#1}}}
74 \newcommand{\CharTok}[1]{\textcolor[rgb]{0.25,0.44,0.63}{{#1}}}
75 \newcommand{\StringTok}[1]{\textcolor[rgb]{0.25,0.44,0.63}{{#1}}}
75 \newcommand{\StringTok}[1]{\textcolor[rgb]{0.25,0.44,0.63}{{#1}}}
76 \newcommand{\CommentTok}[1]{\textcolor[rgb]{0.38,0.63,0.69}{\textit{{#1}}}}
76 \newcommand{\CommentTok}[1]{\textcolor[rgb]{0.38,0.63,0.69}{\textit{{#1}}}}
77 \newcommand{\OtherTok}[1]{\textcolor[rgb]{0.00,0.44,0.13}{{#1}}}
77 \newcommand{\OtherTok}[1]{\textcolor[rgb]{0.00,0.44,0.13}{{#1}}}
78 \newcommand{\AlertTok}[1]{\textcolor[rgb]{1.00,0.00,0.00}{\textbf{{#1}}}}
78 \newcommand{\AlertTok}[1]{\textcolor[rgb]{1.00,0.00,0.00}{\textbf{{#1}}}}
79 \newcommand{\FunctionTok}[1]{\textcolor[rgb]{0.02,0.16,0.49}{{#1}}}
79 \newcommand{\FunctionTok}[1]{\textcolor[rgb]{0.02,0.16,0.49}{{#1}}}
80 \newcommand{\RegionMarkerTok}[1]{{#1}}
80 \newcommand{\RegionMarkerTok}[1]{{#1}}
81 \newcommand{\ErrorTok}[1]{\textcolor[rgb]{1.00,0.00,0.00}{\textbf{{#1}}}}
81 \newcommand{\ErrorTok}[1]{\textcolor[rgb]{1.00,0.00,0.00}{\textbf{{#1}}}}
82 \newcommand{\NormalTok}[1]{{#1}}
82 \newcommand{\NormalTok}[1]{{#1}}
83
83
84 % Define a nice break command that doesn't care if a line doesn't already
84 % Define a nice break command that doesn't care if a line doesn't already
85 % exist.
85 % exist.
86 \def\br{\hspace*{\fill} \\* }
86 \def\br{\hspace*{\fill} \\* }
87 % Math Jax compatability definitions
87 % Math Jax compatability definitions
88 \def\gt{>}
88 \def\gt{>}
89 \def\lt{<}
89 \def\lt{<}
90 % Document parameters
90 % Document parameters
91 ((* block title *))\title{((( resources.metadata.name | ascii_only | escape_latex )))}((* endblock title *))
91 ((* block title *))\title{((( resources.metadata.name | ascii_only | escape_latex )))}((* endblock title *))
92 ((* block date *))((* endblock date *))
92 ((* block date *))((* endblock date *))
93 ((* block author *))((* endblock author *))
93 ((* block author *))((* endblock author *))
94 ((* endblock definitions *))
94 ((* endblock definitions *))
95
95
96 ((* block commands *))
96 ((* block commands *))
97 % Prevent overflowing lines due to hard-to-break entities
97 % Prevent overflowing lines due to hard-to-break entities
98 \sloppy
98 \sloppy
99 % Setup hyperref package
99 % Setup hyperref package
100 \hypersetup{
100 \hypersetup{
101 breaklinks=true, % so long urls are correctly broken across lines
101 breaklinks=true, % so long urls are correctly broken across lines
102 colorlinks=true,
102 colorlinks=true,
103 urlcolor=blue,
103 urlcolor=blue,
104 linkcolor=darkorange,
104 linkcolor=darkorange,
105 citecolor=darkgreen,
105 citecolor=darkgreen,
106 }
106 }
107 % Slightly bigger margins than the latex defaults
107 % Slightly bigger margins than the latex defaults
108 ((* block margins *))
108 ((* block margins *))
109 \geometry{verbose,tmargin=1in,bmargin=1in,lmargin=1in,rmargin=1in}
109 \geometry{verbose,tmargin=1in,bmargin=1in,lmargin=1in,rmargin=1in}
110 ((* endblock margins *))
110 ((* endblock margins *))
111 ((* endblock commands *))
111 ((* endblock commands *))
112 ((* endblock header *))
112 ((* endblock header *))
113
113
114 ((* block body *))
114 ((* block body *))
115 \begin{document}
115 \begin{document}
116
116
117 ((* block predoc *))
117 ((* block predoc *))
118 ((* block maketitle *))\maketitle((* endblock maketitle *))
118 ((* block maketitle *))\maketitle((* endblock maketitle *))
119 ((* block abstract *))((* endblock abstract *))
119 ((* block abstract *))((* endblock abstract *))
120 ((* endblock predoc *))
120 ((* endblock predoc *))
121
121
122 ((( super() )))
122 ((( super() )))
123
123
124 % Add a bibliography block to the postdoc
124 % Add a bibliography block to the postdoc
125 ((* block postdoc *))
125 ((* block postdoc *))
126 ((* block bibliography *))((* endblock bibliography *))
126 ((* block bibliography *))((* endblock bibliography *))
127 ((* endblock postdoc *))
127 ((* endblock postdoc *))
128 \end{document}
128 \end{document}
129 ((* endblock body *))
129 ((* endblock body *))
130
130
131 %===============================================================================
131 %===============================================================================
132 % Support blocks
132 % Support blocks
133 %===============================================================================
133 %===============================================================================
134
134
135 % Displaying simple data text
135 % Displaying simple data text
136 ((* block data_text *))
136 ((* block data_text *))
137 \begin{verbatim}
137 \begin{verbatim}
138 ((( output.text )))
138 ((( output.text )))
139 \end{verbatim}
139 \end{verbatim}
140 ((* endblock data_text *))
140 ((* endblock data_text *))
141
141
142 % Display python error text as-is
142 % Display python error text as-is
143 ((* block pyerr *))
143 ((* block error *))
144 \begin{Verbatim}[commandchars=\\\{\}]
144 \begin{Verbatim}[commandchars=\\\{\}]
145 ((( super() )))
145 ((( super() )))
146 \end{Verbatim}
146 \end{Verbatim}
147 ((* endblock pyerr *))
147 ((* endblock error *))
148 ((* block traceback_line *))
148 ((* block traceback_line *))
149 ((( line | indent | strip_ansi | escape_latex )))
149 ((( line | indent | strip_ansi | escape_latex )))
150 ((* endblock traceback_line *))
150 ((* endblock traceback_line *))
151
151
152 % Display stream ouput with coloring
152 % Display stream ouput with coloring
153 ((* block stream *))
153 ((* block stream *))
154 \begin{Verbatim}[commandchars=\\\{\}]
154 \begin{Verbatim}[commandchars=\\\{\}]
155 ((( output.text | escape_latex | ansi2latex )))
155 ((( output.text | escape_latex | ansi2latex )))
156 \end{Verbatim}
156 \end{Verbatim}
157 ((* endblock stream *))
157 ((* endblock stream *))
158
158
159 % Display latex
159 % Display latex
160 ((* block data_latex -*))
160 ((* block data_latex -*))
161 ((*- if output.latex.startswith('$'): -*))
161 ((*- if output.latex.startswith('$'): -*))
162 ((= Replace $ symbols with more explicit, equation block. =))
162 ((= Replace $ symbols with more explicit, equation block. =))
163 \begin{equation*}\adjustbox{max width=\hsize}{$
163 \begin{equation*}\adjustbox{max width=\hsize}{$
164 ((( output.latex | strip_dollars )))
164 ((( output.latex | strip_dollars )))
165 $}\end{equation*}
165 $}\end{equation*}
166 ((*- else -*))
166 ((*- else -*))
167 ((( output.latex )))
167 ((( output.latex )))
168 ((*- endif *))
168 ((*- endif *))
169 ((* endblock data_latex *))
169 ((* endblock data_latex *))
170
170
171 % Default mechanism for rendering figures
171 % Default mechanism for rendering figures
172 ((*- block data_png -*))((( draw_figure(output.png_filename) )))((*- endblock -*))
172 ((*- block data_png -*))((( draw_figure(output.png_filename) )))((*- endblock -*))
173 ((*- block data_jpg -*))((( draw_figure(output.jpeg_filename) )))((*- endblock -*))
173 ((*- block data_jpg -*))((( draw_figure(output.jpeg_filename) )))((*- endblock -*))
174 ((*- block data_svg -*))((( draw_figure(output.svg_filename) )))((*- endblock -*))
174 ((*- block data_svg -*))((( draw_figure(output.svg_filename) )))((*- endblock -*))
175 ((*- block data_pdf -*))((( draw_figure(output['application/pdf_filename']) )))((*- endblock -*))
175 ((*- block data_pdf -*))((( draw_figure(output['application/pdf_filename']) )))((*- endblock -*))
176
176
177 % Draw a figure using the graphicx package.
177 % Draw a figure using the graphicx package.
178 ((* macro draw_figure(filename) -*))
178 ((* macro draw_figure(filename) -*))
179 ((* set filename = filename | posix_path *))
179 ((* set filename = filename | posix_path *))
180 ((*- block figure scoped -*))
180 ((*- block figure scoped -*))
181 \begin{center}
181 \begin{center}
182 \adjustimage{max size={0.9\linewidth}{0.9\paperheight}}{((( filename )))}
182 \adjustimage{max size={0.9\linewidth}{0.9\paperheight}}{((( filename )))}
183 \end{center}
183 \end{center}
184 { \hspace*{\fill} \\}
184 { \hspace*{\fill} \\}
185 ((*- endblock figure -*))
185 ((*- endblock figure -*))
186 ((*- endmacro *))
186 ((*- endmacro *))
187
187
188 % Draw heading cell. Explicitly map different cell levels.
188 % Draw heading cell. Explicitly map different cell levels.
189 ((* block headingcell scoped *))
189 ((* block headingcell scoped *))
190
190
191 ((* if cell.level == 1 -*))
191 ((* if cell.level == 1 -*))
192 ((* block h1 -*))\section((* endblock h1 -*))
192 ((* block h1 -*))\section((* endblock h1 -*))
193 ((* elif cell.level == 2 -*))
193 ((* elif cell.level == 2 -*))
194 ((* block h2 -*))\subsection((* endblock h2 -*))
194 ((* block h2 -*))\subsection((* endblock h2 -*))
195 ((* elif cell.level == 3 -*))
195 ((* elif cell.level == 3 -*))
196 ((* block h3 -*))\subsubsection((* endblock h3 -*))
196 ((* block h3 -*))\subsubsection((* endblock h3 -*))
197 ((* elif cell.level == 4 -*))
197 ((* elif cell.level == 4 -*))
198 ((* block h4 -*))\paragraph((* endblock h4 -*))
198 ((* block h4 -*))\paragraph((* endblock h4 -*))
199 ((* elif cell.level == 5 -*))
199 ((* elif cell.level == 5 -*))
200 ((* block h5 -*))\subparagraph((* endblock h5 -*))
200 ((* block h5 -*))\subparagraph((* endblock h5 -*))
201 ((* elif cell.level == 6 -*))
201 ((* elif cell.level == 6 -*))
202 ((* block h6 -*))\\*\textit((* endblock h6 -*))
202 ((* block h6 -*))\\*\textit((* endblock h6 -*))
203 ((*- endif -*))
203 ((*- endif -*))
204 {((( cell.source | replace('\n', ' ') | citation2latex | strip_files_prefix | prevent_list_blocks | markdown2latex(markup='markdown_strict+tex_math_dollars') )))}
204 {((( cell.source | replace('\n', ' ') | citation2latex | strip_files_prefix | prevent_list_blocks | markdown2latex(markup='markdown_strict+tex_math_dollars') )))}
205
205
206
206
207 ((* endblock headingcell *))
207 ((* endblock headingcell *))
208
208
209 % Redirect pyout to display data priority.
209 % Redirect execute_result to display data priority.
210 ((* block pyout scoped *))
210 ((* block execute_result scoped *))
211 ((* block data_priority scoped *))
211 ((* block data_priority scoped *))
212 ((( super() )))
212 ((( super() )))
213 ((* endblock *))
213 ((* endblock *))
214 ((* endblock pyout *))
214 ((* endblock execute_result *))
215
215
216 % Render markdown
216 % Render markdown
217 ((* block markdowncell scoped *))
217 ((* block markdowncell scoped *))
218 ((( cell.source | citation2latex | strip_files_prefix | markdown2latex )))
218 ((( cell.source | citation2latex | strip_files_prefix | markdown2latex )))
219 ((* endblock markdowncell *))
219 ((* endblock markdowncell *))
220
220
221 % Don't display unknown types
221 % Don't display unknown types
222 ((* block unknowncell scoped *))
222 ((* block unknowncell scoped *))
223 ((* endblock unknowncell *))
223 ((* endblock unknowncell *))
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@@ -1,45 +1,41 b''
1 ((= Auto-generated template file, DO NOT edit directly!
1 ((= Auto-generated template file, DO NOT edit directly!
2 To edit this file, please refer to ../../skeleton/README.md =))
2 To edit this file, please refer to ../../skeleton/README.md =))
3
3
4
4
5 ((*- extends 'null.tplx' -*))
5 ((*- extends 'null.tplx' -*))
6
6
7 ((=display data priority=))
7 ((=display data priority=))
8
8
9
9
10 ((*- block data_priority scoped -*))
10 ((*- block data_priority scoped -*))
11 ((*- for type in output | filter_data_type -*))
11 ((*- for type in output | filter_data_type -*))
12 ((*- if type in ['application/pdf']*))
12 ((*- if type == 'application/pdf' -*))
13 ((*- block data_pdf -*))
13 ((*- block data_pdf -*))
14 ((*- endblock -*))
14 ((*- endblock -*))
15 ((*- endif -*))
15 ((*- elif type == 'image/svg+xml' -*))
16 ((*- if type in ['svg']*))
17 ((*- block data_svg -*))
16 ((*- block data_svg -*))
18 ((*- endblock -*))
17 ((*- endblock -*))
19 ((*- endif -*))
18 ((*- elif type == 'image/png' -*))
20 ((*- if type in ['png']*))
21 ((*- block data_png -*))
19 ((*- block data_png -*))
22 ((*- endblock -*))
20 ((*- endblock -*))
23 ((*- endif -*))
21 ((*- elif type == 'text/html' -*))
24 ((*- if type in ['html']*))
25 ((*- block data_html -*))
22 ((*- block data_html -*))
26 ((*- endblock -*))
23 ((*- endblock -*))
27 ((*- endif -*))
24 ((*- elif type == 'image/jpeg' -*))
28 ((*- if type in ['jpeg']*))
29 ((*- block data_jpg -*))
25 ((*- block data_jpg -*))
30 ((*- endblock -*))
26 ((*- endblock -*))
31 ((*- endif -*))
27 ((*- elif type == 'text/plain' -*))
32 ((*- if type in ['text']*))
33 ((*- block data_text -*))
28 ((*- block data_text -*))
34 ((*- endblock -*))
29 ((*- endblock -*))
35 ((*- endif -*))
30 ((*- elif type == 'text/latex' -*))
36 ((*- if type in ['latex']*))
37 ((*- block data_latex -*))
31 ((*- block data_latex -*))
38 ((*- endblock -*))
32 ((*- endblock -*))
39 ((*- endif -*))
33 ((*- elif type == 'application/javascript' -*))
40 ((*- if type in ['javascript']*))
41 ((*- block data_javascript -*))
34 ((*- block data_javascript -*))
42 ((*- endblock -*))
35 ((*- endblock -*))
36 ((*- else -*))
37 ((*- block data_other -*))
38 ((*- endblock -*))
43 ((*- endif -*))
39 ((*- endif -*))
44 ((*- endfor -*))
40 ((*- endfor -*))
45 ((*- endblock data_priority -*))
41 ((*- endblock data_priority -*))
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@@ -1,98 +1,96 b''
1 ((= Auto-generated template file, DO NOT edit directly!
1 ((= Auto-generated template file, DO NOT edit directly!
2 To edit this file, please refer to ../../skeleton/README.md =))
2 To edit this file, please refer to ../../skeleton/README.md =))
3
3
4
4
5 ((=
5 ((=
6
6
7 DO NOT USE THIS AS A BASE,
7 DO NOT USE THIS AS A BASE,
8 IF YOU ARE COPY AND PASTING THIS FILE
8 IF YOU ARE COPY AND PASTING THIS FILE
9 YOU ARE PROBABLY DOING THINGS INCORRECTLY.
9 YOU ARE PROBABLY DOING THINGS INCORRECTLY.
10
10
11 Null template, does nothing except defining a basic structure
11 Null template, does nothing except defining a basic structure
12 To layout the different blocks of a notebook.
12 To layout the different blocks of a notebook.
13
13
14 Subtemplates can override blocks to define their custom representation.
14 Subtemplates can override blocks to define their custom representation.
15
15
16 If one of the block you do overwrite is not a leave block, consider
16 If one of the block you do overwrite is not a leave block, consider
17 calling super.
17 calling super.
18
18
19 ((*- block nonLeaveBlock -*))
19 ((*- block nonLeaveBlock -*))
20 #add stuff at beginning
20 #add stuff at beginning
21 ((( super() )))
21 ((( super() )))
22 #add stuff at end
22 #add stuff at end
23 ((*- endblock nonLeaveBlock -*))
23 ((*- endblock nonLeaveBlock -*))
24
24
25 consider calling super even if it is a leave block, we might insert more blocks later.
25 consider calling super even if it is a leave block, we might insert more blocks later.
26
26
27 =))
27 =))
28 ((*- block header -*))
28 ((*- block header -*))
29 ((*- endblock header -*))
29 ((*- endblock header -*))
30 ((*- block body -*))
30 ((*- block body -*))
31 ((*- for worksheet in nb.worksheets -*))
31 ((*- for cell in nb.cells -*))
32 ((*- for cell in worksheet.cells -*))
32 ((*- block any_cell scoped -*))
33 ((*- block any_cell scoped -*))
33 ((*- if cell.cell_type == 'code' -*))
34 ((*- if cell.cell_type in ['code'] -*))
34 ((*- block codecell scoped -*))
35 ((*- block codecell scoped -*))
35 ((*- block input_group -*))
36 ((*- block input_group -*))
36 ((*- block in_prompt -*))((*- endblock in_prompt -*))
37 ((*- block in_prompt -*))((*- endblock in_prompt -*))
37 ((*- block input -*))((*- endblock input -*))
38 ((*- block input -*))((*- endblock input -*))
38 ((*- endblock input_group -*))
39 ((*- endblock input_group -*))
39 ((*- if cell.outputs -*))
40 ((*- if cell.outputs -*))
40 ((*- block output_group -*))
41 ((*- block output_group -*))
41 ((*- block output_prompt -*))((*- endblock output_prompt -*))
42 ((*- block output_prompt -*))((*- endblock output_prompt -*))
42 ((*- block outputs scoped -*))
43 ((*- block outputs scoped -*))
43 ((*- for output in cell.outputs -*))
44 ((*- for output in cell.outputs -*))
44 ((*- block output scoped -*))
45 ((*- block output scoped -*))
45 ((*- if output.output_type == 'execute_result' -*))
46 ((*- if output.output_type in ['pyout'] -*))
46 ((*- block execute_result scoped -*))((*- endblock execute_result -*))
47 ((*- block pyout scoped -*))((*- endblock pyout -*))
47 ((*- elif output.output_type == 'stream' -*))
48 ((*- elif output.output_type in ['stream'] -*))
48 ((*- block stream scoped -*))
49 ((*- block stream scoped -*))
49 ((*- if output.name == 'stdout' -*))
50 ((*- if output.stream in ['stdout'] -*))
50 ((*- block stream_stdout scoped -*))
51 ((*- block stream_stdout scoped -*))
51 ((*- endblock stream_stdout -*))
52 ((*- endblock stream_stdout -*))
52 ((*- elif output.name == 'stderr' -*))
53 ((*- elif output.stream in ['stderr'] -*))
53 ((*- block stream_stderr scoped -*))
54 ((*- block stream_stderr scoped -*))
54 ((*- endblock stream_stderr -*))
55 ((*- endblock stream_stderr -*))
55 ((*- endif -*))
56 ((*- endif -*))
56 ((*- endblock stream -*))
57 ((*- endblock stream -*))
57 ((*- elif output.output_type == 'display_data' -*))
58 ((*- elif output.output_type in ['display_data'] -*))
58 ((*- block display_data scoped -*))
59 ((*- block display_data scoped -*))
59 ((*- block data_priority scoped -*))
60 ((*- block data_priority scoped -*))
60 ((*- endblock data_priority -*))
61 ((*- endblock data_priority -*))
61 ((*- endblock display_data -*))
62 ((*- endblock display_data -*))
62 ((*- elif output.output_type == 'error' -*))
63 ((*- elif output.output_type in ['pyerr'] -*))
63 ((*- block error scoped -*))
64 ((*- block pyerr scoped -*))
64 ((*- for line in output.traceback -*))
65 ((*- for line in output.traceback -*))
65 ((*- block traceback_line scoped -*))((*- endblock traceback_line -*))
66 ((*- block traceback_line scoped -*))((*- endblock traceback_line -*))
66 ((*- endfor -*))
67 ((*- endfor -*))
67 ((*- endblock error -*))
68 ((*- endblock pyerr -*))
68 ((*- endif -*))
69 ((*- endif -*))
69 ((*- endblock output -*))
70 ((*- endblock output -*))
70 ((*- endfor -*))
71 ((*- endfor -*))
71 ((*- endblock outputs -*))
72 ((*- endblock outputs -*))
72 ((*- endblock output_group -*))
73 ((*- endblock output_group -*))
73 ((*- endif -*))
74 ((*- endif -*))
74 ((*- endblock codecell -*))
75 ((*- endblock codecell -*))
75 ((*- elif cell.cell_type in ['markdown'] -*))
76 ((*- elif cell.cell_type in ['markdown'] -*))
76 ((*- block markdowncell scoped-*))
77 ((*- block markdowncell scoped-*))
77 ((*- endblock markdowncell -*))
78 ((*- endblock markdowncell -*))
78 ((*- elif cell.cell_type in ['heading'] -*))
79 ((*- elif cell.cell_type in ['heading'] -*))
79 ((*- block headingcell scoped-*))
80 ((*- block headingcell scoped-*))
80 ((*- endblock headingcell -*))
81 ((*- endblock headingcell -*))
81 ((*- elif cell.cell_type in ['raw'] -*))
82 ((*- elif cell.cell_type in ['raw'] -*))
82 ((*- block rawcell scoped -*))
83 ((*- block rawcell scoped -*))
83 ((* if cell.metadata.get('raw_mimetype', '').lower() in resources.get('raw_mimetypes', ['']) *))
84 ((* if cell.metadata.get('raw_mimetype', '').lower() in resources.get('raw_mimetypes', ['']) *))
84 ((( cell.source )))
85 ((( cell.source )))
85 ((* endif *))
86 ((* endif *))
86 ((*- endblock rawcell -*))
87 ((*- endblock rawcell -*))
87 ((*- else -*))
88 ((*- else -*))
88 ((*- block unknowncell scoped-*))
89 ((*- block unknowncell scoped-*))
89 ((*- endblock unknowncell -*))
90 ((*- endblock unknowncell -*))
90 ((*- endif -*))
91 ((*- endif -*))
91 ((*- endblock any_cell -*))
92 ((*- endblock any_cell -*))
93 ((*- endfor -*))
94 ((*- endfor -*))
92 ((*- endfor -*))
95 ((*- endblock body -*))
93 ((*- endblock body -*))
96
94
97 ((*- block footer -*))
95 ((*- block footer -*))
98 ((*- endblock footer -*))
96 ((*- endblock footer -*))
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@@ -1,45 +1,45 b''
1 ((= Black&white ipython input/output style =))
1 ((= Black&white ipython input/output style =))
2
2
3 ((*- extends 'base.tplx' -*))
3 ((*- extends 'base.tplx' -*))
4
4
5 %===============================================================================
5 %===============================================================================
6 % Input
6 % Input
7 %===============================================================================
7 %===============================================================================
8
8
9 ((* block input scoped *))
9 ((* block input scoped *))
10 ((( add_prompt(cell.input, cell, 'In ') )))
10 ((( add_prompt(cell.source, cell, 'In ') )))
11 ((* endblock input *))
11 ((* endblock input *))
12
12
13
13
14 %===============================================================================
14 %===============================================================================
15 % Output
15 % Output
16 %===============================================================================
16 %===============================================================================
17
17
18 ((* block pyout scoped *))
18 ((* block execute_result scoped *))
19 ((*- for type in output | filter_data_type -*))
19 ((*- for type in output | filter_data_type -*))
20 ((*- if type in ['text']*))
20 ((*- if type in ['text']*))
21 ((( add_prompt(output.text, cell, 'Out') )))
21 ((( add_prompt(output.text, cell, 'Out') )))
22 ((*- else -*))
22 ((*- else -*))
23 \verb+Out[((( cell.prompt_number )))]:+((( super() )))
23 \verb+Out[((( cell.prompt_number )))]:+((( super() )))
24 ((*- endif -*))
24 ((*- endif -*))
25 ((*- endfor -*))
25 ((*- endfor -*))
26 ((* endblock pyout *))
26 ((* endblock execute_result *))
27
27
28
28
29 %==============================================================================
29 %==============================================================================
30 % Support Macros
30 % Support Macros
31 %==============================================================================
31 %==============================================================================
32
32
33 % Name: draw_prompt
33 % Name: draw_prompt
34 % Purpose: Renders an output/input prompt
34 % Purpose: Renders an output/input prompt
35 ((* macro add_prompt(text, cell, prompt) -*))
35 ((* macro add_prompt(text, cell, prompt) -*))
36 ((*- if cell.prompt_number is defined -*))
36 ((*- if cell.prompt_number is defined -*))
37 ((*- set prompt_number = "" ~ (cell.prompt_number | replace(None, " ")) -*))
37 ((*- set prompt_number = "" ~ (cell.prompt_number | replace(None, " ")) -*))
38 ((*- else -*))
38 ((*- else -*))
39 ((*- set prompt_number = " " -*))
39 ((*- set prompt_number = " " -*))
40 ((*- endif -*))
40 ((*- endif -*))
41 ((*- set indentation = " " * (prompt_number | length + 7) -*))
41 ((*- set indentation = " " * (prompt_number | length + 7) -*))
42 \begin{verbatim}
42 \begin{verbatim}
43 (((- text | add_prompts(first=prompt ~ '[' ~ prompt_number ~ ']: ', cont=indentation) -)))
43 (((- text | add_prompts(first=prompt ~ '[' ~ prompt_number ~ ']: ', cont=indentation) -)))
44 \end{verbatim}
44 \end{verbatim}
45 ((*- endmacro *))
45 ((*- endmacro *))
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@@ -1,13 +1,13 b''
1 ((= Black&white Python input/output style =))
1 ((= Black&white Python input/output style =))
2
2
3 ((*- extends 'base.tplx' -*))
3 ((*- extends 'base.tplx' -*))
4
4
5 %===============================================================================
5 %===============================================================================
6 % Input
6 % Input
7 %===============================================================================
7 %===============================================================================
8
8
9 ((* block input scoped *))
9 ((* block input scoped *))
10 \begin{verbatim}
10 \begin{verbatim}
11 ((( cell.input | add_prompts )))
11 ((( cell.source | add_prompts )))
12 \end{verbatim}
12 \end{verbatim}
13 ((* endblock input *))
13 ((* endblock input *))
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@@ -1,58 +1,58 b''
1 ((= IPython input/output style =))
1 ((= IPython input/output style =))
2
2
3 ((*- extends 'base.tplx' -*))
3 ((*- extends 'base.tplx' -*))
4
4
5 % Custom definitions
5 % Custom definitions
6 ((* block definitions *))
6 ((* block definitions *))
7 ((( super() )))
7 ((( super() )))
8
8
9 % Pygments definitions
9 % Pygments definitions
10 ((( resources.latex.pygments_definitions )))
10 ((( resources.latex.pygments_definitions )))
11
11
12 % Exact colors from NB
12 % Exact colors from NB
13 \definecolor{incolor}{rgb}{0.0, 0.0, 0.5}
13 \definecolor{incolor}{rgb}{0.0, 0.0, 0.5}
14 \definecolor{outcolor}{rgb}{0.545, 0.0, 0.0}
14 \definecolor{outcolor}{rgb}{0.545, 0.0, 0.0}
15
15
16 ((* endblock definitions *))
16 ((* endblock definitions *))
17
17
18 %===============================================================================
18 %===============================================================================
19 % Input
19 % Input
20 %===============================================================================
20 %===============================================================================
21
21
22 ((* block input scoped *))
22 ((* block input scoped *))
23 ((( add_prompt(cell.input | highlight_code(strip_verbatim=True), cell, 'In ', 'incolor') )))
23 ((( add_prompt(cell.source | highlight_code(strip_verbatim=True), cell, 'In ', 'incolor') )))
24 ((* endblock input *))
24 ((* endblock input *))
25
25
26
26
27 %===============================================================================
27 %===============================================================================
28 % Output
28 % Output
29 %===============================================================================
29 %===============================================================================
30
30
31 ((* block pyout scoped *))
31 ((* block execute_result scoped *))
32 ((*- for type in output | filter_data_type -*))
32 ((*- for type in output | filter_data_type -*))
33 ((*- if type in ['text']*))
33 ((*- if type in ['text']*))
34 ((( add_prompt(output.text | escape_latex, cell, 'Out', 'outcolor') )))
34 ((( add_prompt(output.text | escape_latex, cell, 'Out', 'outcolor') )))
35 ((* else -*))
35 ((* else -*))
36 \texttt{\color{outcolor}Out[{\color{outcolor}((( cell.prompt_number )))}]:}((( super() )))
36 \texttt{\color{outcolor}Out[{\color{outcolor}((( cell.prompt_number )))}]:}((( super() )))
37 ((*- endif -*))
37 ((*- endif -*))
38 ((*- endfor -*))
38 ((*- endfor -*))
39 ((* endblock pyout *))
39 ((* endblock execute_result *))
40
40
41
41
42 %==============================================================================
42 %==============================================================================
43 % Support Macros
43 % Support Macros
44 %==============================================================================
44 %==============================================================================
45
45
46 % Name: draw_prompt
46 % Name: draw_prompt
47 % Purpose: Renders an output/input prompt
47 % Purpose: Renders an output/input prompt
48 ((* macro add_prompt(text, cell, prompt, prompt_color) -*))
48 ((* macro add_prompt(text, cell, prompt, prompt_color) -*))
49 ((*- if cell.prompt_number is defined -*))
49 ((*- if cell.prompt_number is defined -*))
50 ((*- set prompt_number = "" ~ (cell.prompt_number | replace(None, " ")) -*))
50 ((*- set prompt_number = "" ~ (cell.prompt_number | replace(None, " ")) -*))
51 ((*- else -*))
51 ((*- else -*))
52 ((*- set prompt_number = " " -*))
52 ((*- set prompt_number = " " -*))
53 ((*- endif -*))
53 ((*- endif -*))
54 ((*- set indention = " " * (prompt_number | length + 7) -*))
54 ((*- set indention = " " * (prompt_number | length + 7) -*))
55 \begin{Verbatim}[commandchars=\\\{\}]
55 \begin{Verbatim}[commandchars=\\\{\}]
56 ((( text | add_prompts(first='{\color{' ~ prompt_color ~ '}' ~ prompt ~ '[{\\color{' ~ prompt_color ~ '}' ~ prompt_number ~ '}]:} ', cont=indention) )))
56 ((( text | add_prompts(first='{\color{' ~ prompt_color ~ '}' ~ prompt ~ '[{\\color{' ~ prompt_color ~ '}' ~ prompt_number ~ '}]:} ', cont=indention) )))
57 \end{Verbatim}
57 \end{Verbatim}
58 ((*- endmacro *))
58 ((*- endmacro *))
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@@ -1,21 +1,21 b''
1 ((= Python input/output style =))
1 ((= Python input/output style =))
2
2
3 ((*- extends 'base.tplx' -*))
3 ((*- extends 'base.tplx' -*))
4
4
5 % Custom definitions
5 % Custom definitions
6 ((* block definitions *))
6 ((* block definitions *))
7 ((( super() )))
7 ((( super() )))
8
8
9 % Pygments definitions
9 % Pygments definitions
10 ((( resources.latex.pygments_definitions )))
10 ((( resources.latex.pygments_definitions )))
11 ((* endblock definitions *))
11 ((* endblock definitions *))
12
12
13 %===============================================================================
13 %===============================================================================
14 % Input
14 % Input
15 %===============================================================================
15 %===============================================================================
16
16
17 ((* block input scoped *))
17 ((* block input scoped *))
18 \begin{Verbatim}[commandchars=\\\{\}]
18 \begin{Verbatim}[commandchars=\\\{\}]
19 ((( cell.input | highlight_code(strip_verbatim=True) | add_prompts )))
19 ((( cell.source | highlight_code(strip_verbatim=True) | add_prompts )))
20 \end{Verbatim}
20 \end{Verbatim}
21 ((* endblock input *))
21 ((* endblock input *))
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@@ -1,68 +1,68 b''
1 {% extends 'display_priority.tpl' %}
1 {% extends 'display_priority.tpl' %}
2
2
3
3
4 {% block in_prompt %}
4 {% block in_prompt %}
5 {% endblock in_prompt %}
5 {% endblock in_prompt %}
6
6
7 {% block output_prompt %}
7 {% block output_prompt %}
8 {%- endblock output_prompt %}
8 {%- endblock output_prompt %}
9
9
10 {% block input %}
10 {% block input %}
11 {{ cell.input | indent(4)}}
11 {{ cell.source | indent(4)}}
12 {% endblock input %}
12 {% endblock input %}
13
13
14 {% block pyerr %}
14 {% block error %}
15 {{ super() }}
15 {{ super() }}
16 {% endblock pyerr %}
16 {% endblock error %}
17
17
18 {% block traceback_line %}
18 {% block traceback_line %}
19 {{ line | indent | strip_ansi }}
19 {{ line | indent | strip_ansi }}
20 {% endblock traceback_line %}
20 {% endblock traceback_line %}
21
21
22 {% block pyout %}
22 {% block execute_result %}
23
23
24 {% block data_priority scoped %}
24 {% block data_priority scoped %}
25 {{ super() }}
25 {{ super() }}
26 {% endblock %}
26 {% endblock %}
27 {% endblock pyout %}
27 {% endblock execute_result %}
28
28
29 {% block stream %}
29 {% block stream %}
30 {{ output.text | indent }}
30 {{ output.text | indent }}
31 {% endblock stream %}
31 {% endblock stream %}
32
32
33 {% block data_svg %}
33 {% block data_svg %}
34 ![svg]({{ output.svg_filename | path2url }})
34 ![svg]({{ output.svg_filename | path2url }})
35 {% endblock data_svg %}
35 {% endblock data_svg %}
36
36
37 {% block data_png %}
37 {% block data_png %}
38 ![png]({{ output.png_filename | path2url }})
38 ![png]({{ output.png_filename | path2url }})
39 {% endblock data_png %}
39 {% endblock data_png %}
40
40
41 {% block data_jpg %}
41 {% block data_jpg %}
42 ![jpeg]({{ output.jpeg_filename | path2url }})
42 ![jpeg]({{ output.jpeg_filename | path2url }})
43 {% endblock data_jpg %}
43 {% endblock data_jpg %}
44
44
45 {% block data_latex %}
45 {% block data_latex %}
46 {{ output.latex }}
46 {{ output.latex }}
47 {% endblock data_latex %}
47 {% endblock data_latex %}
48
48
49 {% block data_html scoped %}
49 {% block data_html scoped %}
50 {{ output.html }}
50 {{ output.html }}
51 {% endblock data_html %}
51 {% endblock data_html %}
52
52
53 {% block data_text scoped %}
53 {% block data_text scoped %}
54 {{ output.text | indent }}
54 {{ output.text | indent }}
55 {% endblock data_text %}
55 {% endblock data_text %}
56
56
57 {% block markdowncell scoped %}
57 {% block markdowncell scoped %}
58 {{ cell.source }}
58 {{ cell.source }}
59 {% endblock markdowncell %}
59 {% endblock markdowncell %}
60
60
61
61
62 {% block headingcell scoped %}
62 {% block headingcell scoped %}
63 {{ '#' * cell.level }} {{ cell.source | replace('\n', ' ') }}
63 {{ '#' * cell.level }} {{ cell.source | replace('\n', ' ') }}
64 {% endblock headingcell %}
64 {% endblock headingcell %}
65
65
66 {% block unknowncell scoped %}
66 {% block unknowncell scoped %}
67 unknown type {{ cell.type }}
67 unknown type {{ cell.type }}
68 {% endblock unknowncell %} No newline at end of file
68 {% endblock unknowncell %}
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@@ -1,21 +1,21 b''
1 {%- extends 'null.tpl' -%}
1 {%- extends 'null.tpl' -%}
2
2
3 {% block header %}
3 {% block header %}
4 # coding: utf-8
4 # coding: utf-8
5 {% endblock header %}
5 {% endblock header %}
6
6
7 {% block in_prompt %}
7 {% block in_prompt %}
8 # In[{{ cell.prompt_number if cell.prompt_number else ' ' }}]:
8 # In[{{ cell.prompt_number if cell.prompt_number else ' ' }}]:
9 {% endblock in_prompt %}
9 {% endblock in_prompt %}
10
10
11 {% block input %}
11 {% block input %}
12 {{ cell.input | ipython2python }}
12 {{ cell.source | ipython2python }}
13 {% endblock input %}
13 {% endblock input %}
14
14
15 {% block markdowncell scoped %}
15 {% block markdowncell scoped %}
16 {{ cell.source | comment_lines }}
16 {{ cell.source | comment_lines }}
17 {% endblock markdowncell %}
17 {% endblock markdowncell %}
18
18
19 {% block headingcell scoped %}
19 {% block headingcell scoped %}
20 {{ '#' * cell.level }}{{ cell.source | replace('\n', ' ') | comment_lines }}
20 {{ '#' * cell.level }}{{ cell.source | replace('\n', ' ') | comment_lines }}
21 {% endblock headingcell %}
21 {% endblock headingcell %}
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@@ -1,80 +1,80 b''
1 {%- extends 'display_priority.tpl' -%}
1 {%- extends 'display_priority.tpl' -%}
2
2
3
3
4 {% block in_prompt %}
4 {% block in_prompt %}
5 {% endblock in_prompt %}
5 {% endblock in_prompt %}
6
6
7 {% block output_prompt %}
7 {% block output_prompt %}
8 {% endblock output_prompt %}
8 {% endblock output_prompt %}
9
9
10 {% block input %}
10 {% block input %}
11 {%- if cell.input.strip() -%}
11 {%- if cell.source.strip() -%}
12 .. code:: python
12 .. code:: python
13
13
14 {{ cell.input | indent}}
14 {{ cell.source | indent}}
15 {%- endif -%}
15 {%- endif -%}
16 {% endblock input %}
16 {% endblock input %}
17
17
18 {% block pyerr %}
18 {% block error %}
19 ::
19 ::
20
20
21 {{ super() }}
21 {{ super() }}
22 {% endblock pyerr %}
22 {% endblock error %}
23
23
24 {% block traceback_line %}
24 {% block traceback_line %}
25 {{ line | indent | strip_ansi }}
25 {{ line | indent | strip_ansi }}
26 {% endblock traceback_line %}
26 {% endblock traceback_line %}
27
27
28 {% block pyout %}
28 {% block execute_result %}
29 {% block data_priority scoped %}
29 {% block data_priority scoped %}
30 {{ super() }}
30 {{ super() }}
31 {% endblock %}
31 {% endblock %}
32 {% endblock pyout %}
32 {% endblock execute_result %}
33
33
34 {% block stream %}
34 {% block stream %}
35 .. parsed-literal::
35 .. parsed-literal::
36
36
37 {{ output.text | indent }}
37 {{ output.text | indent }}
38 {% endblock stream %}
38 {% endblock stream %}
39
39
40 {% block data_svg %}
40 {% block data_svg %}
41 .. image:: {{ output.svg_filename|urlencode }}
41 .. image:: {{ output.svg_filename|urlencode }}
42 {% endblock data_svg %}
42 {% endblock data_svg %}
43
43
44 {% block data_png %}
44 {% block data_png %}
45 .. image:: {{ output.png_filename|urlencode }}
45 .. image:: {{ output.png_filename|urlencode }}
46 {% endblock data_png %}
46 {% endblock data_png %}
47
47
48 {% block data_jpg %}
48 {% block data_jpg %}
49 .. image:: {{ output.jpeg_filename|urlencode }}
49 .. image:: {{ output.jpeg_filename|urlencode }}
50 {% endblock data_jpg %}
50 {% endblock data_jpg %}
51
51
52 {% block data_latex %}
52 {% block data_latex %}
53 .. math::
53 .. math::
54
54
55 {{ output.latex | strip_dollars | indent }}
55 {{ output.latex | strip_dollars | indent }}
56 {% endblock data_latex %}
56 {% endblock data_latex %}
57
57
58 {% block data_text scoped %}
58 {% block data_text scoped %}
59 .. parsed-literal::
59 .. parsed-literal::
60
60
61 {{ output.text | indent }}
61 {{ output.text | indent }}
62 {% endblock data_text %}
62 {% endblock data_text %}
63
63
64 {% block data_html scoped %}
64 {% block data_html scoped %}
65 .. raw:: html
65 .. raw:: html
66
66
67 {{ output.html | indent }}
67 {{ output.html | indent }}
68 {% endblock data_html %}
68 {% endblock data_html %}
69
69
70 {% block markdowncell scoped %}
70 {% block markdowncell scoped %}
71 {{ cell.source | markdown2rst }}
71 {{ cell.source | markdown2rst }}
72 {% endblock markdowncell %}
72 {% endblock markdowncell %}
73
73
74 {% block headingcell scoped %}
74 {% block headingcell scoped %}
75 {{ ("#" * cell.level + cell.source) | replace('\n', ' ') | markdown2rst }}
75 {{ ("#" * cell.level + cell.source) | replace('\n', ' ') | markdown2rst }}
76 {% endblock headingcell %}
76 {% endblock headingcell %}
77
77
78 {% block unknowncell scoped %}
78 {% block unknowncell scoped %}
79 unknown type {{cell.type}}
79 unknown type {{cell.type}}
80 {% endblock unknowncell %}
80 {% endblock unknowncell %}
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@@ -1,41 +1,37 b''
1 {%- extends 'null.tpl' -%}
1 {%- extends 'null.tpl' -%}
2
2
3 {#display data priority#}
3 {#display data priority#}
4
4
5
5
6 {%- block data_priority scoped -%}
6 {%- block data_priority scoped -%}
7 {%- for type in output | filter_data_type -%}
7 {%- for type in output | filter_data_type -%}
8 {%- if type in ['application/pdf']%}
8 {%- if type == 'application/pdf' -%}
9 {%- block data_pdf -%}
9 {%- block data_pdf -%}
10 {%- endblock -%}
10 {%- endblock -%}
11 {%- endif -%}
11 {%- elif type == 'image/svg+xml' -%}
12 {%- if type in ['svg']%}
13 {%- block data_svg -%}
12 {%- block data_svg -%}
14 {%- endblock -%}
13 {%- endblock -%}
15 {%- endif -%}
14 {%- elif type == 'image/png' -%}
16 {%- if type in ['png']%}
17 {%- block data_png -%}
15 {%- block data_png -%}
18 {%- endblock -%}
16 {%- endblock -%}
19 {%- endif -%}
17 {%- elif type == 'text/html' -%}
20 {%- if type in ['html']%}
21 {%- block data_html -%}
18 {%- block data_html -%}
22 {%- endblock -%}
19 {%- endblock -%}
23 {%- endif -%}
20 {%- elif type == 'image/jpeg' -%}
24 {%- if type in ['jpeg']%}
25 {%- block data_jpg -%}
21 {%- block data_jpg -%}
26 {%- endblock -%}
22 {%- endblock -%}
27 {%- endif -%}
23 {%- elif type == 'text/plain' -%}
28 {%- if type in ['text']%}
29 {%- block data_text -%}
24 {%- block data_text -%}
30 {%- endblock -%}
25 {%- endblock -%}
31 {%- endif -%}
26 {%- elif type == 'text/latex' -%}
32 {%- if type in ['latex']%}
33 {%- block data_latex -%}
27 {%- block data_latex -%}
34 {%- endblock -%}
28 {%- endblock -%}
35 {%- endif -%}
29 {%- elif type == 'application/javascript' -%}
36 {%- if type in ['javascript']%}
37 {%- block data_javascript -%}
30 {%- block data_javascript -%}
38 {%- endblock -%}
31 {%- endblock -%}
32 {%- else -%}
33 {%- block data_other -%}
34 {%- endblock -%}
39 {%- endif -%}
35 {%- endif -%}
40 {%- endfor -%}
36 {%- endfor -%}
41 {%- endblock data_priority -%}
37 {%- endblock data_priority -%}
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@@ -1,94 +1,92 b''
1 {#
1 {#
2
2
3 DO NOT USE THIS AS A BASE,
3 DO NOT USE THIS AS A BASE,
4 IF YOU ARE COPY AND PASTING THIS FILE
4 IF YOU ARE COPY AND PASTING THIS FILE
5 YOU ARE PROBABLY DOING THINGS INCORRECTLY.
5 YOU ARE PROBABLY DOING THINGS INCORRECTLY.
6
6
7 Null template, does nothing except defining a basic structure
7 Null template, does nothing except defining a basic structure
8 To layout the different blocks of a notebook.
8 To layout the different blocks of a notebook.
9
9
10 Subtemplates can override blocks to define their custom representation.
10 Subtemplates can override blocks to define their custom representation.
11
11
12 If one of the block you do overwrite is not a leave block, consider
12 If one of the block you do overwrite is not a leave block, consider
13 calling super.
13 calling super.
14
14
15 {%- block nonLeaveBlock -%}
15 {%- block nonLeaveBlock -%}
16 #add stuff at beginning
16 #add stuff at beginning
17 {{ super() }}
17 {{ super() }}
18 #add stuff at end
18 #add stuff at end
19 {%- endblock nonLeaveBlock -%}
19 {%- endblock nonLeaveBlock -%}
20
20
21 consider calling super even if it is a leave block, we might insert more blocks later.
21 consider calling super even if it is a leave block, we might insert more blocks later.
22
22
23 #}
23 #}
24 {%- block header -%}
24 {%- block header -%}
25 {%- endblock header -%}
25 {%- endblock header -%}
26 {%- block body -%}
26 {%- block body -%}
27 {%- for worksheet in nb.worksheets -%}
27 {%- for cell in nb.cells -%}
28 {%- for cell in worksheet.cells -%}
28 {%- block any_cell scoped -%}
29 {%- block any_cell scoped -%}
29 {%- if cell.cell_type == 'code' -%}
30 {%- if cell.cell_type in ['code'] -%}
30 {%- block codecell scoped -%}
31 {%- block codecell scoped -%}
31 {%- block input_group -%}
32 {%- block input_group -%}
32 {%- block in_prompt -%}{%- endblock in_prompt -%}
33 {%- block in_prompt -%}{%- endblock in_prompt -%}
33 {%- block input -%}{%- endblock input -%}
34 {%- block input -%}{%- endblock input -%}
34 {%- endblock input_group -%}
35 {%- endblock input_group -%}
35 {%- if cell.outputs -%}
36 {%- if cell.outputs -%}
36 {%- block output_group -%}
37 {%- block output_group -%}
37 {%- block output_prompt -%}{%- endblock output_prompt -%}
38 {%- block output_prompt -%}{%- endblock output_prompt -%}
38 {%- block outputs scoped -%}
39 {%- block outputs scoped -%}
39 {%- for output in cell.outputs -%}
40 {%- for output in cell.outputs -%}
40 {%- block output scoped -%}
41 {%- block output scoped -%}
41 {%- if output.output_type == 'execute_result' -%}
42 {%- if output.output_type in ['pyout'] -%}
42 {%- block execute_result scoped -%}{%- endblock execute_result -%}
43 {%- block pyout scoped -%}{%- endblock pyout -%}
43 {%- elif output.output_type == 'stream' -%}
44 {%- elif output.output_type in ['stream'] -%}
44 {%- block stream scoped -%}
45 {%- block stream scoped -%}
45 {%- if output.name == 'stdout' -%}
46 {%- if output.stream in ['stdout'] -%}
46 {%- block stream_stdout scoped -%}
47 {%- block stream_stdout scoped -%}
47 {%- endblock stream_stdout -%}
48 {%- endblock stream_stdout -%}
48 {%- elif output.name == 'stderr' -%}
49 {%- elif output.stream in ['stderr'] -%}
49 {%- block stream_stderr scoped -%}
50 {%- block stream_stderr scoped -%}
50 {%- endblock stream_stderr -%}
51 {%- endblock stream_stderr -%}
51 {%- endif -%}
52 {%- endif -%}
52 {%- endblock stream -%}
53 {%- endblock stream -%}
53 {%- elif output.output_type == 'display_data' -%}
54 {%- elif output.output_type in ['display_data'] -%}
54 {%- block display_data scoped -%}
55 {%- block display_data scoped -%}
55 {%- block data_priority scoped -%}
56 {%- block data_priority scoped -%}
56 {%- endblock data_priority -%}
57 {%- endblock data_priority -%}
57 {%- endblock display_data -%}
58 {%- endblock display_data -%}
58 {%- elif output.output_type == 'error' -%}
59 {%- elif output.output_type in ['pyerr'] -%}
59 {%- block error scoped -%}
60 {%- block pyerr scoped -%}
60 {%- for line in output.traceback -%}
61 {%- for line in output.traceback -%}
61 {%- block traceback_line scoped -%}{%- endblock traceback_line -%}
62 {%- block traceback_line scoped -%}{%- endblock traceback_line -%}
62 {%- endfor -%}
63 {%- endfor -%}
63 {%- endblock error -%}
64 {%- endblock pyerr -%}
64 {%- endif -%}
65 {%- endif -%}
65 {%- endblock output -%}
66 {%- endblock output -%}
66 {%- endfor -%}
67 {%- endfor -%}
67 {%- endblock outputs -%}
68 {%- endblock outputs -%}
68 {%- endblock output_group -%}
69 {%- endblock output_group -%}
69 {%- endif -%}
70 {%- endif -%}
70 {%- endblock codecell -%}
71 {%- endblock codecell -%}
71 {%- elif cell.cell_type in ['markdown'] -%}
72 {%- elif cell.cell_type in ['markdown'] -%}
72 {%- block markdowncell scoped-%}
73 {%- block markdowncell scoped-%}
73 {%- endblock markdowncell -%}
74 {%- endblock markdowncell -%}
74 {%- elif cell.cell_type in ['heading'] -%}
75 {%- elif cell.cell_type in ['heading'] -%}
75 {%- block headingcell scoped-%}
76 {%- block headingcell scoped-%}
76 {%- endblock headingcell -%}
77 {%- endblock headingcell -%}
77 {%- elif cell.cell_type in ['raw'] -%}
78 {%- elif cell.cell_type in ['raw'] -%}
78 {%- block rawcell scoped -%}
79 {%- block rawcell scoped -%}
79 {% if cell.metadata.get('raw_mimetype', '').lower() in resources.get('raw_mimetypes', ['']) %}
80 {% if cell.metadata.get('raw_mimetype', '').lower() in resources.get('raw_mimetypes', ['']) %}
80 {{ cell.source }}
81 {{ cell.source }}
81 {% endif %}
82 {% endif %}
82 {%- endblock rawcell -%}
83 {%- endblock rawcell -%}
83 {%- else -%}
84 {%- else -%}
84 {%- block unknowncell scoped-%}
85 {%- block unknowncell scoped-%}
85 {%- endblock unknowncell -%}
86 {%- endblock unknowncell -%}
86 {%- endif -%}
87 {%- endif -%}
87 {%- endblock any_cell -%}
88 {%- endblock any_cell -%}
89 {%- endfor -%}
90 {%- endfor -%}
88 {%- endfor -%}
91 {%- endblock body -%}
89 {%- endblock body -%}
92
90
93 {%- block footer -%}
91 {%- block footer -%}
94 {%- endblock footer -%}
92 {%- endblock footer -%}
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@@ -1,164 +1,149 b''
1 """
1 """Base test class for nbconvert"""
2 Contains base test class for nbconvert
2
3 """
3 # Copyright (c) IPython Development Team.
4 #-----------------------------------------------------------------------------
4 # Distributed under the terms of the Modified BSD License.
5 #Copyright (c) 2013, the IPython Development Team.
6 #
7 #Distributed under the terms of the Modified BSD License.
8 #
9 #The full license is in the file COPYING.txt, distributed with this software.
10 #-----------------------------------------------------------------------------
11
12 #-----------------------------------------------------------------------------
13 # Imports
14 #-----------------------------------------------------------------------------
15
5
16 import io
6 import io
17 import os
7 import os
18 import glob
8 import glob
19 import shutil
9 import shutil
20 import unittest
10 import unittest
21
11
22 import IPython
12 import IPython
23 from IPython.nbformat import current
13 from IPython.nbformat import current
24 from IPython.utils.tempdir import TemporaryWorkingDirectory
14 from IPython.utils.tempdir import TemporaryWorkingDirectory
25 from IPython.utils.path import get_ipython_package_dir
15 from IPython.utils.path import get_ipython_package_dir
26 from IPython.utils.process import get_output_error_code
16 from IPython.utils.process import get_output_error_code
27 from IPython.testing.tools import get_ipython_cmd
17 from IPython.testing.tools import get_ipython_cmd
28
18
29 # a trailing space allows for simpler concatenation with the other arguments
19 # a trailing space allows for simpler concatenation with the other arguments
30 ipy_cmd = get_ipython_cmd(as_string=True) + " "
20 ipy_cmd = get_ipython_cmd(as_string=True) + " "
31
21
32 #-----------------------------------------------------------------------------
33 # Classes and functions
34 #-----------------------------------------------------------------------------
35
36
22
37 class TestsBase(unittest.TestCase):
23 class TestsBase(unittest.TestCase):
38 """Base tests class. Contains useful fuzzy comparison and nbconvert
24 """Base tests class. Contains useful fuzzy comparison and nbconvert
39 functions."""
25 functions."""
40
26
41
27
42 def fuzzy_compare(self, a, b, newlines_are_spaces=True, tabs_are_spaces=True,
28 def fuzzy_compare(self, a, b, newlines_are_spaces=True, tabs_are_spaces=True,
43 fuzzy_spacing=True, ignore_spaces=False,
29 fuzzy_spacing=True, ignore_spaces=False,
44 ignore_newlines=False, case_sensitive=False, leave_padding=False):
30 ignore_newlines=False, case_sensitive=False, leave_padding=False):
45 """
31 """
46 Performs a fuzzy comparison of two strings. A fuzzy comparison is a
32 Performs a fuzzy comparison of two strings. A fuzzy comparison is a
47 comparison that ignores insignificant differences in the two comparands.
33 comparison that ignores insignificant differences in the two comparands.
48 The significance of certain differences can be specified via the keyword
34 The significance of certain differences can be specified via the keyword
49 parameters of this method.
35 parameters of this method.
50 """
36 """
51
37
52 if not leave_padding:
38 if not leave_padding:
53 a = a.strip()
39 a = a.strip()
54 b = b.strip()
40 b = b.strip()
55
41
56 if ignore_newlines:
42 if ignore_newlines:
57 a = a.replace('\n', '')
43 a = a.replace('\n', '')
58 b = b.replace('\n', '')
44 b = b.replace('\n', '')
59
45
60 if newlines_are_spaces:
46 if newlines_are_spaces:
61 a = a.replace('\n', ' ')
47 a = a.replace('\n', ' ')
62 b = b.replace('\n', ' ')
48 b = b.replace('\n', ' ')
63
49
64 if tabs_are_spaces:
50 if tabs_are_spaces:
65 a = a.replace('\t', ' ')
51 a = a.replace('\t', ' ')
66 b = b.replace('\t', ' ')
52 b = b.replace('\t', ' ')
67
53
68 if ignore_spaces:
54 if ignore_spaces:
69 a = a.replace(' ', '')
55 a = a.replace(' ', '')
70 b = b.replace(' ', '')
56 b = b.replace(' ', '')
71
57
72 if fuzzy_spacing:
58 if fuzzy_spacing:
73 a = self.recursive_replace(a, ' ', ' ')
59 a = self.recursive_replace(a, ' ', ' ')
74 b = self.recursive_replace(b, ' ', ' ')
60 b = self.recursive_replace(b, ' ', ' ')
75
61
76 if not case_sensitive:
62 if not case_sensitive:
77 a = a.lower()
63 a = a.lower()
78 b = b.lower()
64 b = b.lower()
79
65
80 self.assertEqual(a, b)
66 self.assertEqual(a, b)
81
67
82
68
83 def recursive_replace(self, text, search, replacement):
69 def recursive_replace(self, text, search, replacement):
84 """
70 """
85 Performs a recursive replacement operation. Replaces all instances
71 Performs a recursive replacement operation. Replaces all instances
86 of a search string in a text string with a replacement string until
72 of a search string in a text string with a replacement string until
87 the search string no longer exists. Recursion is needed because the
73 the search string no longer exists. Recursion is needed because the
88 replacement string may generate additional search strings.
74 replacement string may generate additional search strings.
89
75
90 For example:
76 For example:
91 Replace "ii" with "i" in the string "Hiiii" yields "Hii"
77 Replace "ii" with "i" in the string "Hiiii" yields "Hii"
92 Another replacement cds "Hi" (the desired output)
78 Another replacement cds "Hi" (the desired output)
93
79
94 Parameters
80 Parameters
95 ----------
81 ----------
96 text : string
82 text : string
97 Text to replace in.
83 Text to replace in.
98 search : string
84 search : string
99 String to search for within "text"
85 String to search for within "text"
100 replacement : string
86 replacement : string
101 String to replace "search" with
87 String to replace "search" with
102 """
88 """
103 while search in text:
89 while search in text:
104 text = text.replace(search, replacement)
90 text = text.replace(search, replacement)
105 return text
91 return text
106
92
107 def create_temp_cwd(self, copy_filenames=None):
93 def create_temp_cwd(self, copy_filenames=None):
108 temp_dir = TemporaryWorkingDirectory()
94 temp_dir = TemporaryWorkingDirectory()
109
95
110 #Copy the files if requested.
96 #Copy the files if requested.
111 if copy_filenames is not None:
97 if copy_filenames is not None:
112 self.copy_files_to(copy_filenames, dest=temp_dir.name)
98 self.copy_files_to(copy_filenames, dest=temp_dir.name)
113
99
114 #Return directory handler
100 #Return directory handler
115 return temp_dir
101 return temp_dir
116
102
117 def create_empty_notebook(self, path):
103 def create_empty_notebook(self, path):
118 nb = current.new_notebook()
104 nb = current.new_notebook()
119 nb.worksheets.append(current.new_worksheet())
120 with io.open(path, 'w', encoding='utf-8') as f:
105 with io.open(path, 'w', encoding='utf-8') as f:
121 current.write(nb, f, 'json')
106 current.write(nb, f, 'json')
122
107
123
108
124 def copy_files_to(self, copy_filenames, dest='.'):
109 def copy_files_to(self, copy_filenames, dest='.'):
125 "Copy test files into the destination directory"
110 "Copy test files into the destination directory"
126 if not os.path.isdir(dest):
111 if not os.path.isdir(dest):
127 os.makedirs(dest)
112 os.makedirs(dest)
128 files_path = self._get_files_path()
113 files_path = self._get_files_path()
129 for pattern in copy_filenames:
114 for pattern in copy_filenames:
130 for match in glob.glob(os.path.join(files_path, pattern)):
115 for match in glob.glob(os.path.join(files_path, pattern)):
131 shutil.copyfile(match, os.path.join(dest, os.path.basename(match)))
116 shutil.copyfile(match, os.path.join(dest, os.path.basename(match)))
132
117
133
118
134 def _get_files_path(self):
119 def _get_files_path(self):
135
120
136 #Get the relative path to this module in the IPython directory.
121 #Get the relative path to this module in the IPython directory.
137 names = self.__module__.split('.')[1:-1]
122 names = self.__module__.split('.')[1:-1]
138 names.append('files')
123 names.append('files')
139
124
140 #Build a path using the IPython directory and the relative path we just
125 #Build a path using the IPython directory and the relative path we just
141 #found.
126 #found.
142 path = get_ipython_package_dir()
127 path = get_ipython_package_dir()
143 for name in names:
128 for name in names:
144 path = os.path.join(path, name)
129 path = os.path.join(path, name)
145 return path
130 return path
146
131
147
132
148 def call(self, parameters, ignore_return_code=False):
133 def call(self, parameters, ignore_return_code=False):
149 """
134 """
150 Execute a, IPython shell command, listening for both Errors and non-zero
135 Execute a, IPython shell command, listening for both Errors and non-zero
151 return codes.
136 return codes.
152
137
153 Parameters
138 Parameters
154 ----------
139 ----------
155 parameters : str
140 parameters : str
156 List of parameters to pass to IPython.
141 List of parameters to pass to IPython.
157 ignore_return_code : optional bool (default False)
142 ignore_return_code : optional bool (default False)
158 Throw an OSError if the return code
143 Throw an OSError if the return code
159 """
144 """
160
145
161 stdout, stderr, retcode = get_output_error_code(ipy_cmd + parameters)
146 stdout, stderr, retcode = get_output_error_code(ipy_cmd + parameters)
162 if not (retcode == 0 or ignore_return_code):
147 if not (retcode == 0 or ignore_return_code):
163 raise OSError(stderr)
148 raise OSError(stderr)
164 return stdout, stderr
149 return stdout, stderr
Show file before | Show file after | Hide comments
@@ -1,149 +1,143 b''
1 {
1 {
2 "metadata": {
2 "cells": [
3 "name": "notebook1"
4 },
5 "nbformat": 3,
6 "nbformat_minor": 0,
7 "worksheets": [
8 {
3 {
9 "cells": [
4 "cell_type": "heading",
10 {
5 "level": 1,
11 "cell_type": "heading",
6 "metadata": {},
12 "level": 1,
7 "source": [
13 "metadata": {},
8 "A simple SymPy example"
14 "source": [
9 ]
15 "A simple SymPy example"
10 },
16 ]
11 {
17 },
12 "cell_type": "markdown",
13 "metadata": {},
14 "source": [
15 "First we import SymPy and initialize printing:"
16 ]
17 },
18 {
19 "cell_type": "code",
20 "metadata": {
21 "collapsed": false
22 },
23 "outputs": [],
24 "prompt_number": 2,
25 "source": [
26 "from sympy import init_printing\n",
27 "from sympy import *\n",
28 " init_printing()"
29 ]
30 },
31 {
32 "cell_type": "markdown",
33 "metadata": {},
34 "source": [
35 "Create a few symbols:"
36 ]
37 },
38 {
39 "cell_type": "code",
40 "metadata": {
41 "collapsed": false
42 },
43 "outputs": [],
44 "prompt_number": 4,
45 "source": [
46 "x,y,z = symbols('x y z')"
47 ]
48 },
49 {
50 "cell_type": "markdown",
51 "metadata": {},
52 "source": [
53 "Here is a basic expression:"
54 ]
55 },
56 {
57 "cell_type": "code",
58 "metadata": {
59 "collapsed": false
60 },
61 "outputs": [
18 {
62 {
19 "cell_type": "markdown",
63 "image/png": "iVBORw0KGgoAAAANSUhEUgAAAKMAAAAZBAMAAACvE4OgAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA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\nSUVORK5CYII=\n",
20 "metadata": {},
64 "metadata": {},
21 "source": [
65 "output_type": "execute_result",
22 "First we import SymPy and initialize printing:"
66 "prompt_number": 6,
23 ]
67 "text/latex": [
24 },
68 "$$x^{2} + 2.0 y + \\sin{\\left (z \\right )}$$"
25 {
26 "cell_type": "code",
27 "collapsed": false,
28 "input": [
29 "from sympy import init_printing\n",
30 "from sympy import *\n",
31 " init_printing()"
32 ],
69 ],
33 "language": "python",
70 "text/plain": [
34 "metadata": {},
71 " 2 \n",
35 "outputs": [],
72 "x + 2.0\u22c5y + sin(z)"
36 "prompt_number": 2
37 },
38 {
39 "cell_type": "markdown",
40 "metadata": {},
41 "source": [
42 "Create a few symbols:"
43 ]
73 ]
44 },
74 }
45 {
75 ],
46 "cell_type": "code",
76 "prompt_number": 6,
47 "collapsed": false,
77 "source": [
48 "input": [
78 "e = x**2 + 2.0*y + sin(z); e"
49 "x,y,z = symbols('x y z')"
79 ]
50 ],
80 },
51 "language": "python",
81 {
52 "metadata": {},
82 "cell_type": "code",
53 "outputs": [],
83 "metadata": {
54 "prompt_number": 4
84 "collapsed": false
55 },
85 },
56 {
86 "outputs": [
57 "cell_type": "markdown",
58 "metadata": {},
59 "source": [
60 "Here is a basic expression:"
61 ]
62 },
63 {
64 "cell_type": "code",
65 "collapsed": false,
66 "input": [
67 "e = x**2 + 2.0*y + sin(z); e"
68 ],
69 "language": "python",
70 "metadata": {},
71 "outputs": [
72 {
73 "latex": [
74 "$$x^{2} + 2.0 y + \\sin{\\left (z \\right )}$$"
75 ],
76 "metadata": {},
77 "output_type": "pyout",
78 "png": "iVBORw0KGgoAAAANSUhEUgAAAKMAAAAZBAMAAACvE4OgAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA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\nSUVORK5CYII=\n",
79 "prompt_number": 6,
80 "text": [
81 " 2 \n",
82 "x + 2.0\u22c5y + sin(z)"
83 ]
84 }
85 ],
86 "prompt_number": 6
87 },
88 {
87 {
89 "cell_type": "code",
88 "image/png": "iVBORw0KGgoAAAANSUhEUgAAABQAAAAOBAMAAADd6iHDAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAv3aB7AAAAD3RSTlMAIpm7MhCriUTv3c12\nVGZoascqAAAAgElEQVQIHWNgVDJ2YICAMAb2H1BmKgPDTChzFgNDvgOEvT8AzgQKrA9gPZPYUwNk\ncXxnCGd4dWA1kMllwFDKUB9wEchUZmAIYNgMZDDwJIDIPyDiEgOjAAPLFwZWBhYFBh6BqzwfGI4y\nSJUXZXH8Zf7A+IBh////v1hzjh5/xwAAW80hUDE8HYkAAAAASUVORK5CYII=\n",
90 "collapsed": false,
91 "input": [
92 "diff(e, x)"
93 ],
94 "language": "python",
95 "metadata": {},
89 "metadata": {},
96 "outputs": [
90 "output_type": "execute_result",
97 {
91 "prompt_number": 7,
98 "latex": [
92 "text/latex": [
99 "$$2 x$$"
93 "$$2 x$$"
100 ],
101 "metadata": {},
102 "output_type": "pyout",
103 "png": "iVBORw0KGgoAAAANSUhEUgAAABQAAAAOBAMAAADd6iHDAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAv3aB7AAAAD3RSTlMAIpm7MhCriUTv3c12\nVGZoascqAAAAgElEQVQIHWNgVDJ2YICAMAb2H1BmKgPDTChzFgNDvgOEvT8AzgQKrA9gPZPYUwNk\ncXxnCGd4dWA1kMllwFDKUB9wEchUZmAIYNgMZDDwJIDIPyDiEgOjAAPLFwZWBhYFBh6BqzwfGI4y\nSJUXZXH8Zf7A+IBh////v1hzjh5/xwAAW80hUDE8HYkAAAAASUVORK5CYII=\n",
104 "prompt_number": 7,
105 "text": [
106 "2\u22c5x"
107 ]
108 }
109 ],
94 ],
110 "prompt_number": 7
95 "text/plain": [
111 },
96 "2\u22c5x"
97 ]
98 }
99 ],
100 "prompt_number": 7,
101 "source": [
102 "diff(e, x)"
103 ]
104 },
105 {
106 "cell_type": "code",
107 "metadata": {
108 "collapsed": false
109 },
110 "outputs": [
112 {
111 {
113 "cell_type": "code",
112 "image/png": "iVBORw0KGgoAAAANSUhEUgAAALsAAAAZBAMAAACbakK8AAAAMFBMVEX///8AAAAAAAAAAAAAAAAA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\nYII=\n",
114 "collapsed": false,
115 "input": [
116 "integrate(e, z)"
117 ],
118 "language": "python",
119 "metadata": {},
113 "metadata": {},
120 "outputs": [
114 "output_type": "execute_result",
121 {
115 "prompt_number": 8,
122 "latex": [
116 "text/latex": [
123 "$$x^{2} z + 2.0 y z - \\cos{\\left (z \\right )}$$"
117 "$$x^{2} z + 2.0 y z - \\cos{\\left (z \\right )}$$"
124 ],
125 "metadata": {},
126 "output_type": "pyout",
127 "png": "iVBORw0KGgoAAAANSUhEUgAAALsAAAAZBAMAAACbakK8AAAAMFBMVEX///8AAAAAAAAAAAAAAAAA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\nYII=\n",
128 "prompt_number": 8,
129 "text": [
130 " 2 \n",
131 "x \u22c5z + 2.0\u22c5y\u22c5z - cos(z)"
132 ]
133 }
134 ],
118 ],
135 "prompt_number": 8
119 "text/plain": [
136 },
120 " 2 \n",
137 {
121 "x \u22c5z + 2.0\u22c5y\u22c5z - cos(z)"
138 "cell_type": "code",
122 ]
139 "collapsed": false,
140 "input": [],
141 "language": "python",
142 "metadata": {},
143 "outputs": []
144 }
123 }
145 ],
124 ],
146 "metadata": {}
125 "prompt_number": 8,
126 "source": [
127 "integrate(e, z)"
128 ]
129 },
130 {
131 "cell_type": "code",
132 "metadata": {
133 "collapsed": false
134 },
135 "outputs": [],
136 "prompt_number": null,
137 "source": []
147 }
138 }
148 ]
139 ],
140 "metadata": {},
141 "nbformat": 4,
142 "nbformat_minor": 0
149 } No newline at end of file
143 }
Show file before | Show file after | Hide comments
@@ -1,224 +1,215 b''
1 {
1 {
2 "metadata": {
2 "cells": [
3 "name": "",
4 "signature": "sha256:9fffd84e69e3d9b8aee7b4cde2099ca5d4158a45391698b191f94fabaf394b41"
5 },
6 "nbformat": 3,
7 "nbformat_minor": 0,
8 "worksheets": [
9 {
3 {
10 "cells": [
4 "cell_type": "heading",
5 "level": 1,
6 "metadata": {},
7 "source": [
8 "NumPy and Matplotlib examples"
9 ]
10 },
11 {
12 "cell_type": "markdown",
13 "metadata": {},
14 "source": [
15 "First import NumPy and Matplotlib:"
16 ]
17 },
18 {
19 "cell_type": "code",
20 "metadata": {
21 "collapsed": false
22 },
23 "outputs": [
11 {
24 {
12 "cell_type": "heading",
13 "level": 1,
14 "metadata": {},
25 "metadata": {},
15 "source": [
26 "name": "stdout",
16 "NumPy and Matplotlib examples"
27 "output_type": "stream",
17 ]
28 "text": "module://IPython.kernel.zmq.pylab.backend_inline\n"
18 },
29 }
30 ],
31 "prompt_number": 1,
32 "source": [
33 "%matplotlib inline\n",
34 "import matplotlib\n",
35 "import matplotlib.pyplot as plt\n",
36 "print(matplotlib.backends.backend)"
37 ]
38 },
39 {
40 "cell_type": "code",
41 "metadata": {
42 "collapsed": false
43 },
44 "outputs": [],
45 "prompt_number": 2,
46 "source": [
47 "from IPython.display import set_matplotlib_formats\n",
48 "set_matplotlib_formats('png', 'pdf')\n",
49 "matplotlib.rcParams['figure.figsize'] = (2,1)"
50 ]
51 },
52 {
53 "cell_type": "code",
54 "metadata": {
55 "collapsed": false
56 },
57 "outputs": [
19 {
58 {
20 "cell_type": "markdown",
21 "metadata": {},
59 "metadata": {},
22 "source": [
60 "output_type": "execute_result",
23 "First import NumPy and Matplotlib:"
61 "prompt_number": 3,
62 "text/plain": [
63 "{matplotlib.figure.Figure: <function IPython.core.pylabtools.<lambda>>}"
24 ]
64 ]
25 },
65 }
26 {
66 ],
27 "cell_type": "code",
67 "prompt_number": 3,
28 "collapsed": false,
68 "source": [
29 "input": [
69 "ip.display_formatter.formatters['application/pdf'].type_printers"
30 "%matplotlib inline\n",
70 ]
31 "import matplotlib\n",
71 },
32 "import matplotlib.pyplot as plt\n",
72 {
33 "print(matplotlib.backends.backend)"
73 "cell_type": "code",
34 ],
74 "metadata": {
35 "language": "python",
75 "collapsed": false
36 "metadata": {},
76 },
37 "outputs": [
77 "outputs": [],
38 {
78 "prompt_number": 4,
39 "output_type": "stream",
79 "source": [
40 "stream": "stdout",
80 "import numpy as np"
41 "text": [
81 ]
42 "module://IPython.kernel.zmq.pylab.backend_inline\n"
82 },
43 ]
83 {
44 }
84 "cell_type": "markdown",
45 ],
85 "metadata": {},
46 "prompt_number": 1
86 "source": [
47 },
87 "Now we show some very basic examples of how they can be used."
48 {
88 ]
49 "cell_type": "code",
89 },
50 "collapsed": false,
90 {
51 "input": [
91 "cell_type": "code",
52 "from IPython.display import set_matplotlib_formats\n",
92 "metadata": {
53 "set_matplotlib_formats('png', 'pdf')\n",
93 "collapsed": false
54 "matplotlib.rcParams['figure.figsize'] = (2,1)"
94 },
55 ],
95 "outputs": [],
56 "language": "python",
96 "prompt_number": 5,
57 "metadata": {},
97 "source": [
58 "outputs": [],
98 "a = np.random.uniform(size=(100,100))"
59 "prompt_number": 2
99 ]
60 },
100 },
61 {
101 {
62 "cell_type": "code",
102 "cell_type": "code",
63 "collapsed": false,
103 "metadata": {
64 "input": [
104 "collapsed": false
65 "ip.display_formatter.formatters['application/pdf'].type_printers"
105 },
66 ],
106 "outputs": [
67 "language": "python",
68 "metadata": {},
69 "outputs": [
70 {
71 "metadata": {},
72 "output_type": "pyout",
73 "prompt_number": 3,
74 "text": [
75 "{matplotlib.figure.Figure: <function IPython.core.pylabtools.<lambda>>}"
76 ]
77 }
78 ],
79 "prompt_number": 3
80 },
81 {
82 "cell_type": "code",
83 "collapsed": false,
84 "input": [
85 "import numpy as np"
86 ],
87 "language": "python",
88 "metadata": {},
89 "outputs": [],
90 "prompt_number": 4
91 },
92 {
107 {
93 "cell_type": "markdown",
94 "metadata": {},
108 "metadata": {},
95 "source": [
109 "output_type": "execute_result",
96 "Now we show some very basic examples of how they can be used."
110 "prompt_number": 6,
111 "text/plain": [
112 "(100, 100)"
97 ]
113 ]
98 },
114 }
99 {
115 ],
100 "cell_type": "code",
116 "prompt_number": 6,
101 "collapsed": false,
117 "source": [
102 "input": [
118 "a.shape"
103 "a = np.random.uniform(size=(100,100))"
119 ]
104 ],
120 },
105 "language": "python",
121 {
106 "metadata": {},
122 "cell_type": "code",
107 "outputs": [],
123 "metadata": {
108 "prompt_number": 5
124 "collapsed": false
109 },
125 },
110 {
126 "outputs": [],
111 "cell_type": "code",
127 "prompt_number": 7,
112 "collapsed": false,
128 "source": [
113 "input": [
129 "evs = np.linalg.eigvals(a)"
114 "a.shape"
130 ]
115 ],
131 },
116 "language": "python",
132 {
117 "metadata": {},
133 "cell_type": "code",
118 "outputs": [
134 "metadata": {
119 {
135 "collapsed": false
120 "metadata": {},
136 },
121 "output_type": "pyout",
137 "outputs": [
122 "prompt_number": 6,
123 "text": [
124 "(100, 100)"
125 ]
126 }
127 ],
128 "prompt_number": 6
129 },
130 {
131 "cell_type": "code",
132 "collapsed": false,
133 "input": [
134 "evs = np.linalg.eigvals(a)"
135 ],
136 "language": "python",
137 "metadata": {},
138 "outputs": [],
139 "prompt_number": 7
140 },
141 {
142 "cell_type": "code",
143 "collapsed": false,
144 "input": [
145 "evs.shape"
146 ],
147 "language": "python",
148 "metadata": {},
149 "outputs": [
150 {
151 "metadata": {},
152 "output_type": "pyout",
153 "prompt_number": 8,
154 "text": [
155 "(100,)"
156 ]
157 }
158 ],
159 "prompt_number": 8
160 },
161 {
138 {
162 "cell_type": "heading",
163 "level": 2,
164 "metadata": {},
139 "metadata": {},
165 "source": [
140 "output_type": "execute_result",
166 "Here is a very long heading that pandoc will wrap and wrap and wrap and wrap and wrap and wrap and wrap and wrap and wrap and wrap and wrap and wrap"
141 "prompt_number": 8,
142 "text/plain": [
143 "(100,)"
167 ]
144 ]
168 },
145 }
146 ],
147 "prompt_number": 8,
148 "source": [
149 "evs.shape"
150 ]
151 },
152 {
153 "cell_type": "heading",
154 "level": 2,
155 "metadata": {},
156 "source": [
157 "Here is a very long heading that pandoc will wrap and wrap and wrap and wrap and wrap and wrap and wrap and wrap and wrap and wrap and wrap and wrap"
158 ]
159 },
160 {
161 "cell_type": "markdown",
162 "metadata": {},
163 "source": [
164 "Here is a cell that has both text and PNG output:"
165 ]
166 },
167 {
168 "cell_type": "code",
169 "metadata": {
170 "collapsed": false
171 },
172 "outputs": [
169 {
173 {
170 "cell_type": "markdown",
171 "metadata": {},
174 "metadata": {},
172 "source": [
175 "output_type": "execute_result",
173 "Here is a cell that has both text and PNG output:"
176 "prompt_number": 9,
177 "text/plain": [
178 "(array([97, 2, 0, 0, 0, 0, 0, 0, 0, 1]),\n",
179 " array([ -2.59479443, 2.67371141, 7.94221725, 13.21072308,\n",
180 " 18.47922892, 23.74773476, 29.0162406 , 34.28474644,\n",
181 " 39.55325228, 44.82175812, 50.09026395]),\n",
182 " <a list of 10 Patch objects>)"
174 ]
183 ]
175 },
184 },
176 {
185 {
177 "cell_type": "code",
186 "application/pdf": 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24ggOTv0ZOChW5CQOhp6pCtFoxOMinJW2MJfLS4uXTxQUDrF0LF4pFEq1kizJ\nEpPrpKycqqWP4FCO54CDXTyCAyKbGHAIh4vH4oAOsymYSHkRQDyShWU/gkMslM2GyqGswoGjqYbg\njEoWMnsUXS+Fww3goCy03J0sIkBPoD0rmzBR1Qo1EpaKrWM5aa6ZGh+Fgw6O5/OJZDyVjxGMZDwL\nAAJhiQG4oNhAU6xwAB9QcAkmpBSzpd2Qpaa4IAPN9+FAy2k495yldCclJA6IJLIxI5ytCdHVRRxk\nOAQRKagBJIt5uZ4OcxOHLpTrZVlS5RSDOlk5Xc/INAfN6YlKIpfIZu1SIq1wQGoCx6kn9XC4lARe\nET0LSVZhHjokDkaCsXogndIlDknd2dOK6TAFFdTPqggylarpqWS5bJkROlFdL4fDXZAZ5Q0lDiWk\nRclwMmnlkib8lqV3JS0V08XyMrxkaqwfXehyUSFdgNlM51PSJwcUG+gFJBtoAvJ5hw8ouCQTOGs1\nMlW7rrigMg7Zr0o8nOlAYZ36M3BQrMgDhxxwyNWFaDYTCReHfL4gPU8hVSqoPUwIJXSh0qjIkqqk\nO91nGhkVNxGHaiKfyGXtciITUV/9wLXqcT0FHMop1IvqOUiyCi/QYS4NHGBkUqlAJq0jEjTNlG4q\nBsV1iGAV9eVaCkdT19OpSgU4wInixUo43ET3ykLLTbAyAvRUmPFaysykKpbeTFlqbEhyGNbQYBwN\nAyZcLDJSVzikpU+WONAYFRQbaAIKBZcPCShlCUzAg5RTFA4NxQUV6cr7KvFwpgMcnJk4WxrEQb3P\nFCwXN8O5hhDd3cDBkGFptlAoSotXTJUdHBA4QBeqXVVZ0tUMG5SVM11ZOSL6zmQ1WUgivSgnj8XB\nMN6HAzrMZbgvp3DI/Kc4cDQNHc6oGrEYv2fC4aphdEscKFFy80XigMlG8ikLVSN6dyry/4hDhmYz\nU8goHAyJAbig2EAT4OAgAyhcggkZxWwCpaL5LsWF/wIH3HJWyuVafgeHfNw08l1C9PQkk8KQYSn0\nsSQHUEqXixKHBBxWo1yuNWuypGsZqS4s2aZadJI41IBDPherJLMuDkloiZ4GDpU08LL1PCyKCvPQ\nYT7DfTmGisFsRs8nEqaZdnFI6Pm8XkP9fNqJIrv0TLpWkzhkFQ49kBlloSUOFQToaSOdjhTSVjZd\ni+g96YgaW6JI/qVpMI7BIZ8vlVAhWwIO2WJW+uSgYgO9QAeHYtHlAwI3cKJWw4O0U1TtpuKCDPiz\n8r5KPJzpwHA6M3G2loiDer8IY1ZImEahKURv7xEcYP+k5ymnKyW1p4/+uyqVWrfCIVPLskGFQ3dO\njgiwhlP1VDFVKMarqWxUfeQGHMKJcDpsGFWJQ7gAi6I6R4f57BEcsmHggIGFI2qLNwEWhevhfLrg\nzqgZzioceBEO1wyjF90rbyhxqIYVDlEHh3BvB4dSB4fwzKKHC4VyOZ1JZstwXxKHgoNDUXoByQaa\n4lLJ5QMCN3CiVssqZhMohUO34sL7cHCmA8Pp3HsfDiXgUExEjEK3EH19qZQwZFgKEXFwyFTLak8/\nn0zBJtV76rJk61kGdrJyrgexdVYqYjjVSJWIQy2Vi6qvEUMpOM5wBjjUMsALOECSVZiHDgvEAcY+\nkwnmsuECPKyVCUcVi5LhQj7cQP1Cxokiu8PZTL0ejdgMZgyjbhh9kBnlKeVmZA04ZAzEzcVMJJep\nR8N9maiKrZFsMrzkUtEH4IAKOeKQK+VkbBQkG+gUHBxoistlhw8ouCQTOGs1MhXN9yguyIA/J/tV\nCaAzHeDg1Hd2LOSeilK4JHGIGsUeIfr70ylhyrA0Xy5XpOepZGouDvCrtVqjtyFLtpFjg6pyr8IB\nsIbTXelyulhK1NN5W1cfrDg4mGadi7WxcLGDQ39/qpCDq5IXwXzu/TgUw13AoejOqCeMoKABHOBE\ngUPDNPshMyoqkTjUkShl0J5dykTymUY03H8MDjTcR+EQBscrlUw2laukCEYuXSgCB1NiAC4oNtAE\nuDjIwA2caDRyitnEQUXzvYoLKuOQ/Ur/eQQHy5mJs9U6E4d4vJSMmqVeIQYG0mlhyrAUIlKVnqea\nrVUkDqlCKg2b1NXXJUuuK0+ZlJXzfVyElYoYTjeBQ+koHNLQknCWOGTxTixcgkVR4TY6LOa5T82Q\nPQgjBH8ZiWRdHFJhmORmuJgtZdV6Tr43nM92ddkR5lF5w+gyzQGIgfKUHRyyJuLmcjaCqnZ4IGur\nhChVIf+yXCqS3O/AYJRKtDDpfBU45Cs5GRsFFRvojSUbiEOl4vBB4QAmyCRb5Rmqdp/igky85KOs\nSsSd6QAH594MHBQrKql4vAwcyn1CDA5mXBwgIjU1gGy9KvdbU0X41Xq92d+UJdc8gkOhvyhxAKxG\nppmpZJDmNTIF2/m0J40AxsgaptnIFrLZuFGCKVKdDw4qHORFsJA3FA7q0wpM2SiWjKYxA4c+I59t\nNu0ocEBto2mag4gnVVTCN6INJEoODlHED7Yx2MGhKnGg4TaOLhIHqEEN7qtQyWfKUASJQ0V6AckG\nmuJq1eUDAmhwotl8Hw79igsq85P9Sv+ZdaZjGC4Ozlars2RIwwenUk4Bh34hhoYyGWHJ9KBYrdak\n56nlGgqHdDGdgU3q7u+WJd9dYICtKvcXZdovcejOVBFdJLsyxZjzMVsGjtPIGZbVxUXzuFGGRVHh\nNjqsFPi9QA5zCRULiKjSkUjOcBBMGxDBbqMCY6HW1Qp9RiHX3Q0c4EQLptm0rCHIjPKUcnO+Czjk\nLMTNlVy0mOu2jaGcrXKcdJX8y3HJ7hgcyuV6HRUUDtW8jI1CZAOdQk2xgaZY4ZCWOOASTJBJtsoz\nVFbVr7ggAyC1QSD9Z86ZDhTWmckMHBQrqulEopKyrQpwmDUrCxxkelCCH5IDqOe7agqHUjoDm9Q9\n0MFBmi2W4oBaDAesRrYnW81Wyslm9mgc8sChmQdecaMCSVbh9qxZEocIjH0+38EhPwOHqtGD+pW8\nE833G4V8d3fMjjOYMc1uy5oFMVBRicShiYQ1b+XzsWo+Wsx3x4xZ+ZjKcdI1GebTcB+DQ6VSr6NC\nsY4wolgryNgopNhAbyzZQFNcqzl8QMGlwiHvFFV7QHFB4SDvq0T8CA7OTJwtb+Kg3ufSUDVtW9UB\nIYaHs1kHB0THDRkBNPLNusQhg8ABNqlnsEeWQk+RDSrQBstyRBKH3mwNM0l1Z0suDlloicShm5sX\niRk4oMNqsYNDqWggM8LAXBwyRrVq9BpVhQNHM2AU8z09wAHBDHDosaxhxJPKU8rP7rqP4GCX8j0x\nY9jBAXGWdJvvx8GsVBoNVCg2EEYQhyoUQeJQk95YsoGmuF53+YAAGpzo6SkqZhMohcOg4oJMvJRs\nyjgm70zHwQGvyQVZtfetWFHPODgMCjEykgMOMj2AqnbJAXQVmg35HQj7H2g2e4d6ZSn2FimTsnJp\nCDlOUeqomevL1XNV4JArxdWX68DBzJgFEzgUSgXkKlVYFBVuj4woHGDsCwXgYEocCurTFEzZrNbM\nPtSvFpxoftAsFnp7FQ4l0+y1rBGIgYqlFA5mMlmwCoV4rWCXCr0xc6QQUzlOpiHDfDwuyFG5n2oa\nZrXa1YUKpS6EEaV6KUeGhsgGOoWurg4OjYbLB4kDmcBZq5GprGpIcUHh4OSBPHGmY5oRp/4MHBQr\nGsChlrGt2pAQs2fnciIi0wOISJeMxLoK3QqHLAK4we7uvll9shT7SmxQVi7PqhzBoT/XyNWq6Z5c\nOe58ZJuD4wQOkUgPN5GSZq2DAzqslSKRqMKhXDIRtxAH58PRrAlT0I/6NXdGQ2ap0NcXjyUQVJYs\nqy8SmQ2ZUZ5SfqzSY8JDYrLxesEuF/ri5uxCXCWm2YZ0m3Sg5tGFoU+hmCt3IYwoN8oyRg2RDXQK\nXYoNNMUKh6wMZHEJJpQUs4mDyqpmKS7IxEttmKkFEWc6MJzOTJxPQGbgkE2l6plYpD5LiNHRvItD\ntdFoygigWezpUjhU4Vd7evqH+2Up9Zcpkwq04Sqaljpq5gfyjTxw6M1XEjNxKAKHXm4iAQdYFJX2\njI7m6mXgAKdbLIYqZUS2WdsuHsEBpmDArBdrKrMtl2eZ5WJ/P3BAMFO2rP5IZBTxpIql5McqvcCh\nGCkWE/ViDPFD3BwtxlWume2S6RaXTo+GwWLogwrlZq4AMMr5o3BoKjbQFHd1uXxAIgNO9PfLxQ6V\n7ykchhUXVAYu+5VxTPEIDs5M5MK4+gZBsaKLOGSBw7AQc+bk8yIi0zSoarccQHextylxyCGQhk0a\nGBmQpTQgcZCVKyNH4dCVrzcyfUdwyENLJA59Cod6Bwd0eAQHnTjkcjNwyLk41F0choHDwEA8lmRQ\nKXGYAzFQEYvEoc+EhyQODeIwEDfnODjkc00ZvtCBvg+H7u5iKV/pRjhX6arIGFWPSF2gN5ZsoClu\nNl0+IJEBJwYGZuCgstsRxQWZAL8Ph9zRONCZH8GBS3QN4NAYEWLu3AJwkGlaDX5IRmI9pd5u+cFZ\nDoH0LPQ+W+FQHqgw4ZSVq7ORa5aljpqFwUITUV6mv1BNyC0nB4cScOgvAa+U2YBlV+nn3Ln5RgU4\nwOmWSnq1YjaIQ+kIDo26OYj6jZJaZ66MmJXSwEAinkRQiRcHIpG5kBkV08rPMfqBQymCPLKrFKuW\nBhLm3FJC5fy5bnKnxCXsY3BgCIoKlR6Ec5VmpVBvEAfMqym9sWQDcejudvng4iAXnVTerbLb2YoL\nMhCtyn5lHFPq4GA7M5mBg2JFN3DoysUiXbOFmDevUBDRY3HoUzjka/nCcF/f4OigLOXBGTiMKhwA\nq1UcKjaLja5sf7GaVP9rJoSaVt4qWdGowsFqwLKrztFhoxKN2i4OFuIWDMyKq09E82CRNWTNwGG2\nVSkNDiocqpHIYDQ6DzioWEp+NNRvwUNGkUd2leKI4xLWPAcHxLsyfKEDtY4uXV29vaVyodqDcK7a\nXZG5gh49Gge6RIVDXuKASzDhfTiMKi6oQHYGDs504MCcmTif4shvUBQO+UymKxePdo0KMTZWBA4y\nXYaq9spIrLfc36NwQCA90t8/NGdIlspQlbZBVq7NqaNpqaNWcVaxu9jVlR0o1o7CoQwcBsrAK211\nwbKr9HNsrNBVBQ4lprB6rWp1EYfyERy6GtYs1O9SKwzV6qhVLQ8NJeMpBJXAYSgaHYPMzMBhADiU\no8gjm+V4rTyUtMbKSZXz53vInTKXsD8AB1So9SKcq3VXIUXEAfOic+5VbKBL7Olx+YBEBpwYGpKL\nfyrvVqsMcxQX1EqI7FctTB3BwZnJDBwUK3qAQzMfjzbnCDF/frEoojJNa/T09MlIrK8y0Ku+RW0U\nirBJs+bOkqU6q0aZlJXrc5FrVqVsWKXhUk+p2cwOluouDkUEklYFOAxWgFfaasKyq/QTHXbVgAOc\nbqWi12sW4sdYrOLiUACLrGGrC8ZCrTPX5li1yqxZyUQKQWUtEpkVjc6HzKhYSuIwCBwq0Uol2V2J\n1yuzktb8SlLl/IVe8q+Cx5VjcGg2+/pQodaHcK7WU5Uxqk420Dn3KTbQFPf2OnxAwSWYIBedVN6t\nstu5igsyAa7LfmUcU3GmAwfmzGQGDooVvYVMphs4dM8VYsGCUlHYLg79cgD9lUEXB8Q3g4PD84Zl\nqQ7PwGHeDBxGJA65oVI9JT/+tywHB9seOhaHBQuKzZptxzo4NBFxxmfg0OyyRlC/g8Nc4DA8nEyk\nGdxHo8O2vaCDg/yIbshCpGIzj6wkEMclrQXH4MBA5mgYIgxBK9Vivb9YLtZ7a6VuKIJuOzj0KzbQ\nFLs4yEQGnBgefh8O8/5fcZAbFOrbKBeHbLanELe758m/w+R1jqL6q4C+j+BKk9c+HyyXWCPGhV9k\nxRe0AW2+tkL7gvZnnoLne54XPf/b+xXv495ve3dXk9V8tVytV7urI9Xjq0uq36wlIL3dtVl1Tz1Q\nj9bj9VQdcVJ9oD5R31C/oPnSvj0/t35/+P96Dh/mX0oUD2qztOO009By1vM8Wn6l03KiiryPk0bL\nx31AyzG0nOu0vFG2LNCyJlt2yiH5dxQPNYV47xPvrXzvQ+8dL8S+h3lv34p9N+47Zd+Cfce9fuD1\n1uv/+Po/vPbua2+/9q9CvPY7HK+/9qPX/ua1R177xk+Pq94sRMgv/9riGi3p6fec6PmYEJ6/8XwH\n9DtuT57neXheEn+keKbUcdS9J3D8rUThSvG0+Kq4UOwUS8Vz4r+LvxQrxF+JdeJW0RIvijfEN8Q/\niX8QnxXXiBfE98TlYrv4mHhe3CE+JW4QU+IU7Uahi7AwhSUSIilSIi0KwLEkKuBxXfSLATEohsSw\nmC3GxHyxQBwnThSniw+LM8Ry8RNxvThJnCZWiw3iYnG1+Ly4WWwV/038qdgm/lzcI+4TT4pvid3i\nf4nvi5fFT8Ve8b/Fa+JnYqX4iFglJrQ/EVeJc8XfifXin8VZ4rtio/i4eEz8ibhTu0H8T/EVcb6Y\nFD8S02KRuEt8U+wSa8WjYoe4UTwiHhY/EE+JgHhJ+EQIshbUvigMERMRERW2yIsMpC8n4qImekSX\naIo+0S3uFr1inhgVc8RccbwYEV8QS8RCSOqpYrFYJk6G1H5SXCIuFZeJL4vbxO3iS+LT4l7xkLhf\nfE08IR4QF4jHxatij/ixeEW8Lv5e7NMMbYlmaks1S1umRbTlWlSb0GLaKZoNmY9rp2oJyGdK+4iW\n1lZqGW2VltVO15Lah7WcdoaW187UCtpZWlE7Wytpq7Wydo5W0dZoVW2tVtfO1WpiE/Tmeq2hfUzr\n0tZpTe3jWo+2QevW1mu92nmiLP5M69M+AQ3bqPVr52sXaIPahdqQdhH0YpNoQD+GtYu12dol2oh2\nqTaqXabN0T6pzdUuF7PEd6CVW7QxbTM06NPa8dqV2gnaVdqJ2tXah7TPaCdp12gLtWu1ce06bZH2\nWXGCtlj7nHay9nnxIfFzbZ52hbZA+5T4qDhHnCkuEn8rvi7+UdwitojN4lnx1+IZcZ74hDhb08Rf\naGEYhf3iLXFAHBS/FL8S/0e8LX4tfiN+K34h/lX8TnxGXCsC2ktSn/f9/1uWMQdIIWQwApnrhoQt\nhHSNQ7JOhWytgVx9UkrWbZAtSta9kKqHIFcPQLL2QKooU+dB3qkN3xVnQ9q/AA34uPghZH+j5od0\n94r3xKQW1ELQlbvEIU3TPOI/xGHoyw7x75Dex6EPV0FzhLhOC4h/gxbdKK6AhgWgH32Uhw5C3xb/\nQ1ygecHxE8TnxJvii+ImicQnoGF/A/za0KkoNMuGPik9ylOHNB90idozT2wC+v8I/VT4rwX6Xxfn\ntMTgqS191Zpdmvana5/WDt/cWlLapXvXf3yopQ1Wq0svXtLSNgy1PIMtrb821PIOVpe1vM1lZ6xp\nrK3eXr19xcbbq8uqm87b2PI15S8eXHD72uFqS5y55mLQs9bUWuNrC53TC9auPX6o5WMzPtnM7WvR\nwCVOA5fIBvD+e0Mt/+Cp1Za3e9Wa09e0blhSaI0vWVuo1apLW7tXrWntXlKorV071Ap0xojfz1+c\nVaMNDrYC/UOtkGrhTLyP19fefru6atRau2+/vXA7ZuBcP62JY2+Mz7yBGS99WrthlXxyQ6NW4I1G\nrVHDiNYuGWrpg6eeuWYphlRbOwSRakFk25rHM6C1vV7QKe/yRfOa2dDAlO/Dzon/LHUipjTnbMrz\nsWVj8lY74A8OtISaT3tDSPt0+/owyAMkz5G8TnKYpBLWrmwvJFlPso1kJ8kPSN4miYa1q9rDJCtJ\nriDZaeLdt0kqJqoMk6wn2UbyAMlzJD8gOUwSNdkKyUKSlSRXkLztVPk0q2BovLQjOBsnWUWyk+Rt\nkuEIhxvBa4d5eQUu6RhT0LgToZET+BUifrgoTO1HIg5vG/f8DpZBQLvVf1+Gb3kFVnuWp9/7qP+l\nwNbADwO/DWaDZwWvCV0e+qb+2/Bp4S+EHwq/ZAij23jUfNictiYin4rmo2P2JbGJ2ObY12J/EzuQ\n/I9UOvX99O8ze3KX5LbmXshfXjilcGHh9sJkYbq4oXRLRVS+VvmbyhvVrdUdtQOIQOr1c+vXdd3e\n9WhPqOfcnlbvpr5Ng/cOTg1tHTowy5z1w+EHh58f/tXIZSMPjbw02jV65ZzpudV5l8z79lh17KwF\nXz7u9uM3H986IXLCwyf8/sSNJ3lOGj3pEwu/sPDBhd9euH9cLJpYNL3oXxaHFy9Y8u2l6aVXLn13\n2e7lkxNLVixbsXvFj05dctrVp019OPThlz5yw0cOrFy18oerxlatXrV71U9W/fr09OmDp0+ecd8Z\n3z+zfOaSM58/69dnB86unv3s6jWrD63pXjO+dvTckXMnzr3w3C987NmPHVqXXHf1+lkbzt2w47w1\n5x3aGN7YfUHgglUXvHHhZZs8myY23XjJpksevuS3lz592QuXhy5fdvm9l//HFR+/4r4r3tic3Lxg\nc+tTOz5911Weq+KfyX7mK9f4ru2/9t5rv3Pdjs+e9Lmxz09d/+ANX/uTxTce/8W5N+Vv+sub/vam\nvTcdutm+uf/m3bc8sXXktk/dduNtk7d/4kuXfelzX/7Uf3vov/3sT/N/etmffvtPX9n2uW3T2/Zv\ne/eO+p32nVfe+fCdu+985c5Df9b1Zz/88xu+kv/K1r84/i+uu2vwbnH3GXdfdvef3f303b+455R7\n7tpe3X7a9s9tv2P7S9v3bP/ZvcvuPePej997yb1X33vjV6/56k1fveOr9311x32R+/L3dd83et9J\n951y30P3/eV9z973/P3x+8v3998/dv/i+z9y/7n3X3j/p+7/wv2333/X/Q/d/5f3P3v/8/f/8P7X\nvrb7a9//2itfe+Nrv35g9IGTHjjlgdUPfOKByx+MPJh/sPvB0QdPevCUB1d/fcnXV339Y1/f9PUr\nv37DQ2se2vjQ5oc+99DWb4x848RvTHzjrG9s+MZl3/jdw+Jh8+GtD08/vPfhAw//7hHxiPlI9pGu\nR0YeOfGRiUfOemTDI5c9cs0jNz1yxyP3PbLj0Tseve/RHY9OPrr7sfHHTntszWMbH9v82Od29O6Y\nu2N8x2k71uzYuGPzjjt23PH4xidGGLbLSFJ4/gGetwHbPiBGW4PDraHh1qDd6p5udQ/vSvvebQ3Z\nrebeXUXfu+KvvFqXb+CvmloO1KdpvoGR2fPnzUn19MydPzY2/yTvvLndjXog2DM2Nmc0nUryLwIG\nUplYLabheG3BPI8VTMfsZNg3VKkMBUaDp4yNLct1NwOB5w5t1P7hkLjq5JOvii3IWaVYNJOI6V2z\nB+eEJhYtP7E6r1FLJOc+7bn4vbs99703iiELoaJ1z196P+3phucXWhBe6XXEDh9qX2Fo6yYXGisN\nzxbajS2TO6PPRT3rpnZHp6P7ot51grZmHe3UOhqhdbQruETNkdlH2r240+5G2e6YbLe90NC2jFsP\nGDuN54wfGK8bbxuBde0rSnxSkk9KO0vPlX5Qer30dimwbmT2B4zzetneQPsKC29xgKJ9mKdvcxgL\n3bF0RoVGZs73nk47fyvbWdleFUPtK2KofQPIlIjZsWrMu2Vqd2w6ti/mxZ2aXavWvKhUY481Dc9q\n07V9NS9ewS3RXp9kX8Vj+/pop69/lH012wvz6Atk3dQD+Z355/Jo4Yq8bKGCFg73qha8sLDCczzs\nbhgxxID22XZzwDvQHhnAyzZIa8DeJXzvtu9o4qWRJu+CtJr2roD33ZawW8Y0Llrl6VZ5uL2qrK3b\nFfO+264ZzVj8uPbmQfTXEkvXtHLDhV0586S18qIfF/2Bk9YiAHm3beT6UbVlDO8Ke95t5exdaY3v\nh/n+wRoHqU3u8D7t9axrT3jR/R+8GIgewtm9CQjPNcmtSTw6QK5cTHIvyYEUL0nGiqh5C2Y8eWH1\n6ipqrq7ixltVPHqzAbKH5EddvASZWt11YdfVXQBidc+FPVf3gGcv95JnZ7Hrb7HrpTx7lGfvkAR4\nGeZw9kdxuYm93wMyeW3yNg7sIG9sSrlj2s+ON5G83HD6bP+Y5BV0M3/O6EkeqmZjnjqb5Wk0euaM\nlj1U0VQamhrBnR239ywZLZ17zp/fmZ/Tl9crJ865feKfBs8Y71504qlnx8YuPPuVxXZttLFsyYlW\nebhu9PaWFsf7l4wef2bEE1j3kdjiRSMy0x05/C+exzx7RI/nlnY87B1oxe2WmG6J4fa4wHSmhbau\nFbZ3lQDnql6qXh8Frw9KurBvZR+mdn2fi24UgEZddP248APddiLqJ7KJ4VbU3pXV3m357V11gNvj\nj/J+z3B7ugdNbuiRILff1HBxWxBkbYhnJG9S59eS3Ebysk2wqD5XkXyX5FaSt0im43wAMnlbYnsC\nA3wGAtJ+ieQXJE9SXp5JvkhYniQsv+xgs5ZkO8mLJM+S/ILkSfkgDfIMyRMkvyJJ58CjN/KUMJK7\nSPaQvAMyGcin8zBpy+XzAm48WpgqoNv9Bb5awKvLebacZ29SOMcqyyp4flfVlZE0xXQ5zw5SPFZ0\n4XIHdXAtyXaSHLVxBcmzvHy8G+082/1SN9r5aTdvkLu/6qH4HiRvD5CFK2i+9pCPL4Nnk1fHbolx\nXOTfleTfGyQvk3yPPJN69aLLp8lnUi+mUH1H+iiuHCS5hnM9QHIKiZzpAVoaOQmpcPs5kwuaZEdz\nqol2pjjMPSQHMMxmxNuoz4LYn+SBV8oEZ+EyAtEve6gN8z2PxectWTm48tbzFyw4/9aVi28aXmh0\nz15QXHLZqb29p162pDh/3nByc2GkkVxw/tbTT996/oK5Jw7H6nl79KwrPvShK84aDWf7KlLue6Tc\nr/B+rj3YBVsX7BqkPAYhj5C+VmRvexvt+esgraDdSu5t/5oMKEeCqDZufLX8ZPmvy39X/mnZD7GE\nxWv3gbS67F3zYRHhkRdPtxYPT44vXrUYIjC9GM/KdmvF3vaqU6hFp9LjnbryVCrQqa4C9UFn+lwF\nWoGLFVCglrm3PQLMWrG9rRU0se2hvhUcKRx/n71rFBq1wt51IjRq0Yo+3l803N6wiIqwSGnU3Vnq\nRw4dXly6toQOl9Op7KhTikjWkPPLwfnJH/e/1Y/nPxogSiS3knyP5J8GiTDI1L1DTww9OwST+HdD\nFCySF2bh5SdmPTsLL/9yFqVkmD2QvECylmQ7yTMk15H8gmT/XLw4f+7yuXD2n5l769y756Ldb82j\nJsxbNg+tPTqPtUhuJfkxydhxHC/JrSS3HM8qJMtJ7ia5ZyGaWLvw4oU0vQupwCTf5t0Xx18dp2qQ\nQ78iufpkvk9yN8ktSyinJHuWcvJLqTiPgIWT382+nPWsm7wlexd+2reAoe0pcvXu3GM5j6P73yO5\nDm65fTEjjM+SHMPuZ0jOIc9vo2aeQsbv6d9Pxr9BTr9MckuH8W+S8XtIXiCrd5DVz856iaz+RYfV\nB0iu7XD5RZJzhwnK8LPDqLlgLplCcoBkBdl+7dzbwPb2VrL0aZIVJK+SvLWAsBy3/DiPw+M3XfZO\n3nr83cfj7pvk510kU2TqOQsvIqsf442Xxzl0krfI3mvI1AMk20m2krMHlxCIpa8u9azzZ5zgEy6t\n3jM/PWd0TDo8hqXzu3v+uB3I0Ez0aJd6QjGjPJyq9SXnDtn13nSvL5yMRtLh+Nyh/pP/MxtxgrQj\nhnGi5vX1dGXqqXC2K57M+SKWHvDHlgdixT9uP/ppXzQZjq8G+RbiJlPktMF2IgdLspOicT0I4xhG\nTbthQ1sJGSu119MiPkAiaPZ3F1zlj0DfI67yZ3GRdWKjVsTeZWjvUpWfZqxxHMnjJK/KIIihx708\ne9pHFEEmt/se9wGPp+k8V4R4I/R4CDde5Q0ZNT2l42yCZAfJcSTbSV4l0XVWoXtYTZcg/cKt9Aa3\n0gSuliEMyRRN/kSaKiKjomUkMipaJsfCtp4g+WuSFWzwGZJl6U6YMyO4YVTztS+f/pmV3d0rP3P6\nlyd+ufjmSxcvvvTmxb9cPPv0i+bPv+j02YsH1968Zu1Nawdl7MKYtQHeG+LClne4bYMT5HfLa7e0\nva3AdCswzNg0NN3S7FZ4b3snvN7k9dY2y+PwXAYpLs89uPC4PEeQEoBJ1f0emlQdYSkRmF9L1WI4\n+N8O7bOHPqQ9dehO7ZxDjy9e7PnO4t8sRhwux8TcQVgyDl8kdiEOb3DhZZ2YfNs8bHqcJAbpzBZ5\nWyY2bhx/7Psfle/Pbm8D36aG7YX2StuLBMl+zvYwiKcf57TaCxl3ro+iybejsrVOWxd32too21o3\nrg+bC82V5nrTt2Vc32Y+YO40nzN966ZeNzk+mOAoh7YBo5p6Pft29nCWt7JIlvTh7MLsyuz6rG/L\n5APZnbSDG+hdttH/PVc+ut8jc7he9jugHOqGKMVFZk0yf5JjXs/RHybZGXV4Ad2yHN2yRU27vV2o\nUbdoTK8HadUc3YICtQqdPMSaJo3sxeNWXNLkdHs9g+wHSEQDyZtEOw200y70VVxUXejTUt3aVrpK\n6K3hXTYykth0y2Jb1MIc5GzyOO8Kr8dRvJ+SfJNkAcX+HpJnSHI+1FwQmoDuTd4T2kEVfIYqmDta\nBaXi/ZTkmyRPZ6hkWSYTtCTdjDHP4dmt9C6r6VP2k3Qjf23fyrPVZbZHEHY3yN3JjjLOl8kKx3IX\nyQL2vp3kFJInSBawz1NIniV5hr2fxd5XEFrZ8RSbXk7yUfQ0Q3OpCMxTYh+owZrn0KGJFSs+QI9/\nMzamzXmfLhvAWhdntzTosuboMjTXu5eYQp2h18G97ZWGazK9gM3rYihwIRgvee1dPuAX9AoVz+0K\nUXXnNDqKO6E9eeh+7ZRDU1JnnRzovyMWbHpK7WQJOVDJ3hWCrR5OgguHafJaIK2kvSuGESXtVhPZ\n7nB7hE681eOOpo4B1I814G1Rz3IYYrhVt3d5IV5Ze5eF4SXU/cRwex+8w664MvAvIt2a/Kp4UjBE\nwXn72yQXMW5fQ3INyNRt2nbtcQ06+SJv/YHkpyTfJnncA/J3JHf5Qd4hCfghhvP9y/0Qw7HAsgAa\nfyfA+wHMbxnJVJgeP7w8TC8e5stcOtlD8g5JwEALy4zVhgcNGcsNtkDLtZqG4i2KZR/XGQ7Qr/XR\nr/VVQNaSrGHM38c8Zi2JTLffYArwsky3mQfc1XyUecDzzF+ealKA7+a0d5C8Kty57yB5gQy4WLtW\nu40MeIa3fiIfcsYvgkwe51+BebaXcRbzScY6U1lOspajPSjTFI52dSfXeqOThf+MA/kuyaMke9xx\nad3dR2KQsfnzKPiBwMxsxXNp18bFbpgx/4Lex39z4rZFbq5y9mdHPIu7B91AopD5P4sPPdJounnK\n8IirB5+SPu3mlgE9AOPbq0hGQHaFIX+e6ZYhFWE98xTvNLKTXQHfu5PCsi1YpG10ctPWPji59iqL\ndtxyJVSDUGquhIZxEaaEejSussD9Udd808j2W8HplsfepVMmE3NitdicGLQn1tgwod04MXHoCxOe\n7xz6e23OeydqKw/tUmMWOzBmrzgNfUizvI9hyCrfBoQhk9f7twGRqYp/2L/QD+e12z9NhITftcVH\n6bEcJMYlVXbOjgl0Rp+yHMwJSJ+SdvyqCZ8ya/IB/86ZjcPF+g4z9llIc7feRxfrnMm1vcNv4+3c\njHY+KtuZO3l9cFsQrz0HiziuV0LDoYWhlSHfFngqatBOkvUkb3NpApzn0iPGdfg3aCUjfWza8bGm\nXOO7Hh2ORx/w7fQ95/uB73UfhxVcN25EfRXfsG+hb6XPv6W90sb4rk/Lmumd6efSP0i/nn47fTiN\nmno0XUkPpxemfVvc2ID/l2r/c8bYr5d9DbtjFxhVezMImBA4TC1fSC1fTwXf6Zw5vlUTkcP/on0Z\nrE2Iv2mFhuW8J18PvQ0X1UrslZY3BD/IJT/av20pV4ak2LhY2biwpZWzw8rKyQWj9g1cNbKlvaNV\n6wXS7YvJvetINnEsB0CmQoFsoDfg3dK+hSHMLQwH7kGYOfVM/MX4q3Eo+BNxWoML+daFfGsr693m\n1ms/DTI/nZb+CEIqk4junnPCYyM9swvhicTwacet+IR559DcyuyFNe2N9w51nfqh3lNXuHp2HeYf\n0f5HyxymOp1MZP+K5DDJn5NsJhkHS6lnCDHPhDud/Ib3r7gO+T261rWMvu/xUmhS3qZ3nnepF7HR\nP3l/zhpfZI1fkwhUa/n2Tp7v+zQ1IuVr+qCqf6BkjlFGl5J4QcajN/ju8D3oa/l2+6Z9+yAyLVPi\nwDWIwN72z8i28wOfDnwxAPb8L/LkX0m8AHnqjsCDgRbvT/OW3whw9XQZjX+vf4EfpvtW/93UvEfJ\nz2+B0JBEptsVimHL/sBM5CjdNHBhBJyLIC6CEnyv4bg4fW97KVMHv9DZdQ9xf4qdcRDtFEkiRNXR\n2j+hwf4Vyd+TfIdc+g758Sbrf48kxPovMkTZG2Lw/LLnTQ9G/12/W4vpTGLOHG2OpjW0RiNGe6Hp\n2ocvOvRV7dpLDj1saBMT2p3anEPPHfq89slDf64+4pHYa7/FhV8cd2ze4NlL4xcc/oD8QHKCQaLo\npALo7pRDl08w+pc65bRrib9GE60omqbowD770LqYbvnYQdtGxNuK2k6CAlz1vaTGtIDxg4LJ3iz0\nZpnHsnobfV1FY5QP1zZurA9fEb4+vC38QNgPSQurtVrY7bbQiMDU82KP2C+862Dad3lwO6RrBMYr\nQjI2UpGSIa8mbzHugl+HxZ+fCjJOmhecNx8zfOUVzvGMMya0S55d9uzPFu9ftmyZdo/LR2+eOuTJ\nt4MhROcrGdeupBkSoaDqAdFbex/BvYFkFUkLRHJE29teyAmtJ5G+/FUQGB6ueT3H+ELu+2xzcySp\nB5G97T00AFMkZ5KMkEQ7aQTzHynN7etJHiCZJhn/YAkP4SIk5ThCPrQ/RQv2TyRnMxobE8sQjU2e\nLM4UUNm/4v19JLtp4yLINKc5YN902x+K8PXvQzInv+y/j4r2WUrpkyR7qZG67GDyy/p9Olr8vr5X\nZx0G3U/qat7GdHuNrZbtnmInF5Mp2zWuuWovalzN4o0nSG5Ci5M/CrwBOz95QeAq/Ew9EvhW4LvU\n/7uCNEhTweeDe4L7gz5EkLRjj5Fsoj7tcNOAcf2Z0IuhV0MHQ6j0uM5lGf1VjGrqEv06/Xbd62Tu\nvyR5hGy+kOQukudJ9pOcE6GRfpDjvZPkRyRTJPtBmglGDw1qKBVU+x9vXz7hOSy64c4mLr/JM/7e\niZ6N790nj+84dvkJxj9aue3VIVNVWthVTLlu8N5BqzrtyhAjfQ8kwj8NRR2PrfSv91/hZ7DBmOA5\nf2hLS0ccjwoGIqbh8cSIMW6sMjYYm40bjDuMB42WoW9hKr6F30JsmVxlbWDMdD1czBTjp19bmH6r\nEzxJ2/e+3Q3hp+2bukBcJW6GnrX/gBmPW7rIiT5xnFgh1orAlvZXeNN4EO3sFtNin/BLw+uZRljN\nvZGpHwReD7wN3MatSwLXBW4P3Bt4IvBsILCu/W8BtuYPpALNwLzA0sDZgcCWlp8rGiOzm3MYlimm\nejZ4Js49dC7IZZ41YOjH33tI2jonF3+C+4KiqvYFNQsxQ7l9PfRpknk/pjxuyg1B7uwc7pMhgoc5\nkTeOnCgherTftMowSnvbgjtCmwnsuJDr2bvCMuvelUSyNN4LHrb6dnNPaCGb2tfHvc0+u6/a53UC\nvQbY1nB5KDcD6Uwa9i6/Jjf9oipemKBHANnSPo5n20kOMrbXPTkPlHABJeAAyQqS7Z21MGbm7f+Q\nZ3SoaUY+1IUpqsE7QeCTDjIVCi5nvDRGLXiUZD+jn0AoHeJuDW88RbKc1mwZjc+jJPtJ0hSXp3i2\nnDIzZi2jzNxFmdlj7bfegcxMBqw0A/F3qBtpbgzn6F8XcBFtBcl2bvq+GjsY+0MMtfVYLobaE4xn\nQDBnnh0kyfFyNdfYbiVZzcz8VpK1zFy2cpl5LclWpi9rJeHyyGrmK7eSrGaGems30SVPJxd4J6BB\nkwuCE5j/5Hxzuckfa7nFn9jyGH/iy+OedZpcg52x3CpDKzfPKXs832GC4yY6/P0IMxw30+Gv9gkm\nOW6yw18mOW6yg1+1xrMQPuRG+hDR0FbBMLcKeyd3Fp7jNtnbmKVc14nYuxJQ4+g07W1yr9r83paU\neyLt62MyNW/Vp5GBj+sLmyub65tXNGHPtjVd3a1B1Gqu3KVwkaLc1eRGJP1yCiLMhdbptl1L0W/Z\nw7tiShb3UJqWM+y7yPsZMm++bznzi7tl7Ea7KDPNu0lkfvkYV03WSMKlmR1yC4BLJ0+XicM1bO8V\nkt+ThCixUoov7qwfbSc5hWQZ25+vu+0vZfty/+6AlAJ28jjJQRK5JrTf7am9AkRzMPTNmZNwli5d\nEHHqCR239OrVs8O5gaUbFi2f0PKH9mujhxZd+ufr+k7+5JeWa9869BPPjc0Vn1yeOmHhwtkVbeXi\nQ/+6eMmmLxy39uY1A1zrlDZC5iN1lZNpfcyl2pt7wa71vVf00rb0chdZ7p7v5P7xepqJt3sP89l6\n3ljofILwAe19VLY33r6C5mQVv0XYPICW7YHqgGfL1O6B6YF9A9Dp8UF+kaE2pllpIfdN3h5Ql0e3\nfXGn7Y2y7S6Ob93keO+qXuggx90e5+bI+NxVc3nj+D86tuvl+wva4+hx8sGB1gCcphjg0JDOTA/I\n+TpDwHwHDg941HDk6GQS5u3YWENkxBz/1nahjzGUnGwfQsQ+Z6GpNbq3PTLKmG+U4yMRvNwsz5qj\njCleEj/hmtFlNM7XkjxDC92n1rEMWaf9Y4rPfpKrQPi9Rtfe1qjdmrO3bXbNYY2rXDs3+V3zZXqG\nT/DGPm5dby7cQJ1s0fKMcIVnFQgXXmn7M+r1VyiVnyWRS5j7SbLq0XXcQZvKPs8l43+mtDbU/a1c\nDjpAspGkW430Rdqtq0hmqxuXzGZ7s+lQ5tnzqvPA44XcJmzN281twn3zXE2fBeWe5Wr6KC5Gj13j\nlRdduOjixSy1KFeVvgeZDL9JmHxavEBmXkI+XkPyBokR9XIoL5OBt5BcSfIzElM9+h65tdV0lfRq\nko0kGdlu+1Uy5DqSZ47wZxaXmSefyn6PrPm5ZE11Fmt/iQw5SHKBZI26+8IR1sg3FWt+PlsFjQs4\n0BUMW7eLxzmHAwwVT2EA2a8dr0Gk5zGpkkuDexioOquCQX8G+WH7akapexhYzg8s5wLCvDBqd4NM\nPhZ+iouDTS5FPcU5L+XE/oJkzFkJXDf5qDlFqemmk1xAMs864iSXcTHqMSbwb5EEeXm86xknD8R+\nz08Qsvw0SnrJV0mO4yWz/PbvSbJxrrzHV8Q9joc8TjrMBMhWesjHSf5A0p/m0mPGtcdvkfyeJMSV\n7WVcUv8FV7abXEOXS+pyIb3JhfRz6hjPssbqBnr5PVnfz88u3uFKZaCZboJPY/zcYjlJoBvkGcLx\nJMkabulme/iBEs/WUOG3khwg6ad1WsO93P5BJv0jnPwIxYkYZudws2DOxByuDMzBDR032v1zaNxu\nJq5yUXSC5DgivECbYEbwOME9qP2B57rGJvwTzD10Ap1n8r8gMEEsZ8I4RQR7ieXZBE8GORK1+YTx\nbvMxwng2YVpKBB+1pojgft4I8IaKGdoX8UaaGP2YaP07yV8Ql38jSREtFU+0byMoa4mHnwA8SnPw\nVvbfKfMSjK3k/lb6rbVlcr++uo5H87lX/pbcMCcOEoztIJOhZpY4/IFBzg4yPtTB4fdk/FqSHHE4\np/Mdw1skq8n9/SS3cjt9WQeCU0Amb579F7M9R5Z50/yjMs7XWD3znQ+v6t093Jrudpd852c867o+\nfjxjoEat0TkbnTXKSGjpNcOnNU9zzj8zclrTc3q1wWDouE19Tefsov6x2Td+mFHRQPfp9TOc8/6e\n0+sdv/PRjt/5R+l3CuOGvbS6dGTp+NJVS/0QkPX8WOHw0iN7Z4z7M3JfOqPV2rEMPIudgcXO2PIr\nUTHdXsjAKaZ2pZ/jhwwLcyv5IQN3rj8gTZYbZkx5UpE0Q6TUcPt17gHfAMIlkRnb1Ecim16SFzuh\n+SWd3bJNDG96GaRfy7OD7m6Zyk97GXkfZFB+QP8909GQntV7dVj9axkMvUhyK1P6W+T6YDfb/rFX\nGlqcXc3GLiK5lo31sbFLeHYN3+vTIZU/0X/B3LvAxapbbK4izdyM5rewXE7aceXIyb3xeO/JI1dO\n/MNln//8ZbdMaF9K1obyuaF6YvHH169ff+gp8noEznwAfjwl+rTX2nYAvJYrr6uYfxzmOIdp5xIB\nW8aWdiu1txUADghtbXtX1fvuZGtgNwMEMeAuiR+VbbpL4rsKYHOCy/+7morTa+UaJKe6lROUn8xt\n5SzXkqymet5Kspq5yEEujDxPHf2Wq57tR3nWzTO5v7+C5FF+ITeWXUbl3E+bmabKnuMYTmQ7OWY7\nuf25d3LMdnLpnGfL5PLcOfhpp/Pg7qvFg0W8+2Pq9Aska2hlV/Bse4nWqvQHfoek4+7kRHlNGa8f\nV15Rhh96tXwQP+013DiaqPMl2uKD9T/QGuTkjY4NeLVxEBZ6Um/kGug4RxudphVYRt2/q4dj7Nnf\n804Px9iT7kGdc2gQljHI20+SZii6vPcchH6i/T3yRXqa/UypfkzyFY74RyRvkjwPUqvNyILk95hz\nNCdHmufkTN6BQ5d++IsbxsY2fPHDp+F35Tl73juze2LT4kWbJrrxu2gxfsfOu3nlypvPG+Pvhu2z\nPFrfCZeeMXv2GZee4Py6Ony81OG8diG0kf/zii27LLWWGJHrwc9RzihsuxKQpoDdyk63ssPtP9C+\nhrLZrGdLK7e3naeJ/SZ1fGVuPXRc/Wxpv0s4TT48nqQPREpl1m5l9rZvgLkej41nVmU2ZDZnbsjc\nkXkw08qEtrRX8mvaneTQwiK/qChuK7pfVMgdAVdu5Rqm2h6wnBViWxoJrhnkudUud9Wzclc9T9U9\nwG2ji0PXcqf8dgpznhoql5+66WbGKKkX8MPaq5O38AvO5SkqPHdQLDW83ZnpzL5MAAbAzZZF+0DI\ntQWyzUtJDrDNiwj6VjQ31Z86PnVKyrtlhiHgwor6LD7R8DZ23ODaghsmfnLZ59et+f6av73miDV4\n7wue73x8/SkXhA61NLm/MHr4X7T/gE0Y8TzQjvR6B1q9dmtkb3snfc1hkitIXifZNkIL6n8XVXYF\nYYz5HTnhTe9t/wAz25XxS+NawaOVDPmvINk26lrpIXB5yGV5AhcJyfKhhMPyIbX0G1Y3wsPtTGKI\nZ5lhfpNEGMJ2q7F33NjZeK7xg8brjbcbfhlMbu0kE9vlAtaT4q/F34mfil8K/7r2e7y/yV2elOuS\nk89qLzEKeZWB5TJ9NS2sTF5Xd9ZQHqExesPmd9j21bbH+QZ1D2G4h87k8RTXJJ9NvZT6SeoXKd+6\nqQuzV2dvyXJp7NEs04c92f3Zd7KA10eBZYY9uaA2UfNwJbP2Yu3V2sGab93kpu5r+P3rq4wHXqE5\n+AmTqq39FK7+a/mp3cF+eiKSixkWHJRf3vGzuX8HmXpk5Fsj3x1BavnmCOXndwy3psTzDKi5pKk4\nw53pqae072k/5lb0L8mFPXKvQ3dnew7JDhnxcsqb7Gsw5XFjR+rp1AupV1IHUn7nc+Pf0cpenSWT\nj0wTDy+Sn26SBHNunLqgRhY9XXuh9krtACbbXsE1n2s41YtJftKZ9B5O+mXO8UKSt+QZJ/pjd6Lt\nx0a4q+2uErjxjbulNndWwI1ytJ3D5xbHBvJjq9avGus7+cz+RVf1LcqcsaAwNlCszFm0dNGcSs+i\nMwZO/ES/Z+XSaGV2bWRevTB0yvjIh+cWZy8Y7hmO1UYqzdm1dLo4sGj2nNNGs90jMq+WeiLz6iEZ\n35zz/zH2JvBtXdeZ+FuwcwMJYuUCkCAAghQJkCABQqJIiBJJUCtta7cZsrUtWf05lZjEizLJSP80\nsSVPMtK0iSylnUj/NNqcTgU+w9DSzkitLWpJfyMktTYbrdjakiU5E6mNrcWVybnfeXggKSnTOtHB\ne49vue++e88963e4nzD5poqUW6ZCQzC+BdKJQT8ItZcRknLI3yIEGX/Ucs+8rVUJqvqEQNEisqvs\nHL7DIEgnmMju7O6wtBlbRr2y1KrYlFE9EkWikhVDLeNNVYwVtFaZ3fzc+P8Rqv+P8J2urodlrAru\nTqKC8We2oiH1Bvy5Asu81InP62RMSglQKkpLuxEPvQnkOIK+O51LnMLjJK5ytlOOuVxWDs9Coiyg\nWMYoiDBQBrcVm9lFheX4c1FA2sZW+JF8WTS4kbUnDUvrFAkr+YLuVXBW4odyPJ8pO8A46RrOfznn\nkST56YUc47wJMlOnyAl03VbbQ1F85skoIDMTnso7mquqmjvKvxGP75mxMOJyRRbO2BO/pbE319c3\n2TX/+GfWQG8w2Bu0/g/2LZdO/EZYzfqygh9E3MMSJe5hJB8GfGOiPEPpLtK57LIzLN3CFq1Cg9jF\nUjRSoXqQ3FC5GaLEbuchxNJ3UpoLyDmQfkgWLqfy7fNZF+c/bNQnW2A+eyTWpeQ+IQWvY0QxQqf2\niSlxVGRSRUTsnbSmpg5qj2rPwMRMxuSDuqPo6R3sgySvFd1BNpOmyFLkLWIy7PIiJne8ZtwB/ncV\nrG8HFGBLsRd2YAtWuFomqUu7sIDdALFjdwvYwC6s63abn63ryRv2+2wpT+ntdrvfzm67yg5N0Qs/\nGMnGtGBSSoQH139izX5qXrHlwmNeqWIfUMU2hdXmmc8v6X9upjleWuX3ewsLgBpSGud1M55dGoks\nfXYG/9fjC0N9zRVGtdpY0dwX4pOYv/TdaP42ZeMykHdUySVvVU5AlOuETjcItfpQdkvOsXr4OjkX\nrCF5qPI4LluCKzZU5xKVboEcAukEuxusUnK/5Pusy91Hzv2aGSvaXYlbnau8UomWaJVbohFL6rBV\nR2EXwUPB48FzwSvBW8GJoPbxbduUfSfpkCv7bGpF8lbVRJVAB8CQ+IkvGT9YQ/zo7tsoIl8vcWoV\npqaK3KAxWJET4gk4scgbGoTIk4sPGBFExJ2CdXVCcSgCWQL5bhvIOQh5EA+CmIUxzEcXuFkRyDaw\ntD0gG+DEG9Pf1isshXzHyhAnXkfigQr+2eRT3LNY1JbBsdML8jJWtu9ivftj7qccllXFaaWiNAiB\nZDXSOJar8XWu4oLlIMjc8YRMId7Nh/hG4fri8V/Hx3/bL3ukyD8Oo2eCbRYJ+ZLI5GTpCibVcUbA\nuAsyUhFsC3KArnSOoloLwNDYS3MF+TB23aNoMJDXQUbJEYsOhIs5uV3cw/oWbnxdBt00kNyg24xp\neIJtj+jZbVR6cvGeZu1PtaniqpUqNmG34G3ugmjB+XyMwBerZUsIPKa9WtkNIRkEWPlSKw0vGF41\niAMQXQszUhyq1QlGRorYOXsw8wYx85Zg5lGS3zaQEyBjxY8NXSQuRF8ln+yI31NsPNJ7IP8MopL/\n9F00cxYImilHTPyzinyhiCdgXEuflgwiddZN+Ax+QSFwjKTMBo+h1SAO49Qi+ox3cWMrPjtZleIQ\nYXQILriD76KBA+4TdO79XJx5BA8lJ0UbRJ17uTANCvEhh9o9WlwwFGeB3MPzdTAj3sUHjYNEQWxF\nYFd4eoQNGvxPdNP/Ql8I0nJJOND/y6WSIC39Zf8a8md+ZYpfk40lDZtrG+AnFo6Qnzh5SH8cAudx\nTIdbmASb9Ntw4E204r9heJwQ05h6nB49KQd7yGEob4HsBAmyd07wmVjRNn43f4g/zp/jr/C3eO1A\nzNTJL+EH+fX8Jl75m569E7pMy/PUqaqM1I+uuYTQrwJOZVS5VEFVTNWv0gxL2/GR1JlY8aSD+pz6\nivqWWjcQMyN27WH3tWFY0sgt1WM8x/KUoLRBnZpJM+jlQZCLOiQoZWKmoDam7dcOaTdoN2u3a/do\nE1o9womy2ye0ae2YVjuAuxkysj+pE5/lArb2InQkj7Vu0jd+Ii+dN5bHWmc15rnyHvWd5w3Lgefw\nl0tLEHR4q2ACE9cJw24aR4OPd55PBg7lgQlJpRiB58Fz1nAvgx3tx2i8A6LBn1pBvpezw8ObDomA\nT0saLbzvUh/jlMkPNZ/CyvlzWK+Pac5i2w8OuoLCozhNNhxFnZb0tIMJ0IvB3oOBfXj6OF+Bca5H\n9HavegUs42RN1cB5HNeu1LIDGnDhVSB3MMA0GHZtIEcp1QFb5G+J52GYezjEz3LLEUJiQ6ueZoRn\nQ553i6KbF0N8++jq27xq8NLl1bx46/f4g3zZeGL8+/yc8eP8N/h+GvMT/8rG/EI25nV8YUIISOfA\nONm6sg2xECqMABpsQ6oNKiWITP+4gDKBoiIktSAHATFFH4GkGnaDTs0SzaBmvWaTZptmt+aQ5rgG\nN1C25TAFtpLuxpAZBDmX3RoGHgVblUA2G5Sv/ljJWlKrEJgtdaNHl6mxCH9P/SP1XvU76pPq8+qr\navaApWqEy4Gj4St9gkmFeEGOqUfqlHpUfUF9Ta2W45qlN9ktmITOh0xs6WEi+vjd1X//96vH7/JN\n/J+MS/zi8a9SnCb1Ha3p0aycsp/yMvAaTFjRT4BXdOZ0hEOK8pCNvcxevy53/XN0fTDLdlJX9LgF\nEwqL9E49E84OmY+bcdh8yzxhxmGz0yzIgZw8Z2X3MiPWnbcwCYGtg+vBRwN4myXYWoLXVyOJhX1T\nPsb380P8Bn4zv53fwyd4+qbZ7RN8mh9j7AmahZBGDC8i5f/DXxIPoXA3aQM+ZD9IEGQMC8Z2wx5D\ngi100hUM5AkQJ8RySqufjMKn+KmHg+QQPaol57qkzQkXPhDMa4rcQZZNWl447CBxECwm7JvziD/j\nq1qrhKLxZ/k/Hxf4n4y/wP+rsOXLY13tQk+XHNtC/UjftH2K7uiltkkb8kh4xIjszI1XRM0BJkWJ\ncfmM/1/8GGfkWvh/kSoDYn0iYBxRs7kxATHRyQRGBLmUqB8kjGn2p4Q1nbAGpFtMkkaatDstBZEu\ndyWM7glPS3I3PJTkPhn+ginQIme7twSS6ZaxFmFghBMeJOqMSu57qfBAssinWNjjLIyjBS0xC3w4\ndS0Q2z70fuoVyEbzEha2i+InUETe0Z5EWMsdCC3Eqi4WfAKGvAXK2veQuPuO+SQblckd5n3I36UU\nrosgv4V35im4zE7ClJansVgsXkvY0mNRs7tYPsGj4dxN7ijbB/1zH7SuN8lOCkPqZbhSboLUBvnh\n1NbgruBBWE/s8K7YmnCoaVfTwSZ2yM/2kkeaTzezyeFvjjb3NYvD2aCI67kwHnqDD7CCfApC7f8c\n7YSNKAnDCRJpcGCFBeZmyw008IJVaRSy6KUbcOxfbrjRIGT9a1Y8OtU8yh4tWZr5Yc+U+JbZYou7\nWusLkwILx4/b6211T4nt55+0L+huMrl8pTWtNcWvPjm7tuu71Z2N5WoxJopCxZKoc2ZD2axVz9fd\nUJtq3dYqs97mjzirw/kbI4F5pf6O+l+WzTIV15oC/mJ3qDo6x6Uj3w4bf8J7bPx2ZHnS99nAtklc\nmPVbMAxtIXwizJq7PTwlDmH6NU/TNW6Ji+IaJGv2Y+tEFPJwdE8UWWK3WyfjvmcJLdwXFKu/FGtI\nERN4kseFc0zFBbvRK1KOajglizpMzuUysl2FsR0RIjZUmLQ4JmoHuG8xtm5jclSySHAKFDzqjoRe\nnvXc00LLdm5Ke4/l2vsctbdG2gb3/ZXWW3Df0ywKIlt0Wy+O9t7qFSZjJD4Ta9gcNXBl3FKxTXoq\nzPhl7Ck2A58ywmgqDWL2tYefwmxpD4wY2GQNG0eMqgeJdmOijNIZytPs5ERtOlEbSPgyUmM7TpZW\nNbKbhI2J7nSiOxAr7u8e6t7Qvbl7e/ee7kT3iW7dQGJeJrlnXmIea+GC7CULMAhB9iOBe9vy3cux\naiyHLrac9frYcoUJLGZTfbHCBOJsJ67sNLGdJoUj1LOdeuwsZnyHzfr2xU3yeyQ725e0s6nqbA+0\nC8MJQzrRZBwxC3ipkTL2w16p3jhSzS7xLa7P4ig01i9GI3+NtOAP8XJx40gXO2NenG46L5AMzovR\n29Al0s/wIssYSb234P0FHy9g0/OPF8hxBCshDK+FeHkS5p4UyDHYHg47T8GqsgaK8CjIVgIdANkI\nw+MukKRfYQpkabyEnONPQW5E2MPeiPw48laEPexSG3jN1rZdbQfbjradaWMr+gEM4NMgx0BOImWY\nErTXgrwOchIZxDtAXge5BMfnpR7IsEisPwxyeiHYCchlkAv9uAHIJ/3glk988gRmBb3jOiJ40STe\ncRQkCUYyCnISNpfDICmYHk4RwVvvxQu/BvIjvPArIEf8kwznBt77Q2RgX2q5juz21yI7Ivvw0p+w\nLpB+xt5ceh/kHaRav9a2ow35TziQxHt/D2Qv9QDIVuRVv8BePrll3k72AZPnu692s58LPdd62HXv\n4J3fw5tepdddiIzy/mv9MC89gQOM5AL6tFO4XmtraDKfGszO65vC8kKtSLnOogNRmjZ4o/DPpd7W\nqsqQ1/ILc6PXThxxpt/SZXKHXJUN1Y68Fu/aSOuQw/3sfLDEuq4nfOv5cm9twVOz/NWD0fDSYutA\nqGVJuIwvrIrUWqy1EVdYZ3LaiGXWzXTr9a6Z9Y58c3mRv6mxJdreBH4ZiDoNFZ5AmaEt6Kpp8dYF\nazqXN1U+lh9uIv5SnnS1BduYsB1En3JtSI5o29OWaBOnxF4JCeECV8Q5uW7x39hMTIQyieqMdALh\nBlyoGjPkc+gbH0FgYZNNzdT7Ivn4n8KTehNkKyOJkDExOyNtmM0PEN8JkYtdOuBgf6o2JqoysYKv\nV/1R1Z9U/XnV21XvVmmYOgIT0hcwZH0E8iuQIZAySxXu/yrsuztB1oK46Ghy1HUB0DVuuQ2RHG5N\nUD7wFnxJoyBd8l1OdmFpB5krH7iE+bMT5A6IZi6Tb2YzBpihyAGpn5GReewtO3sVNtbG+FObItt5\n2Y5X4VyU7UhKnLcNjUOwMzAJ0GNkV4DKk/AakTgtaSGFuelEKYomXwaZ2+bFgffRls9B1KxB0kvY\n+iHI34IUuefipDfR2VfR2W3GERO75V5k8JXJd3gOnfQyyA9B3kW82q/K/hmSimuumyKvMGlfRw8H\nuTIc6CojJeQueof6aR7dijFJsL/XoNYfJr8WwmbXaF+GYNUKNvG5DvhAujW6l3VsNpMW2Kuo4VNi\nv85QKBikl1UgFL30Y5A7iF19E7LLXZAtIF641ntBTsIhexiEhsANkJsQaXqRl3gdfPUF8NWDIGcU\nsSv5QuOrAIQ4CM5/BuQGyLFJKA4ssEdBDgPJYe8sjBSQwyDaTsjmRGJoCIhvDiM350KE3pLLzvgE\nzPIlCGcX8LZ3QLTogdFcfPTrIO9QNhfIfQrdgr92q3kXpLYvcu/bA3IKr/ox3vIlkI/wquTh78P7\n3iA5Di+9F6+6BmQU5BO89JrGl9lLp/Y1phpHG2F3x+uuIa8W3nTfLCxXs07NQqQBXs5PBC/XB+LH\nG37E3tBUKOa4oEiIaNi1dogmq3sKP8yF/MguDq01Ehp3N1UW2mpbKioC/ppiX9TfMLvYateXNvrs\nm3aveW7Gc/EZT8yucTTMdLlCZcGY190RKCtvaCv78997gn+m1O2bUVbZ7C41lnst/O66UFuwxFdd\noc23u+rGt/zsheicspYFQV8sVFtU/VRTbUe9xVw7y+eONLgLDxyYKlvdyPG+vyXe94bEzYIsiE+7\nCSSI3RPoju2z9qA7NkHU2oNVI7hAJsMSB3ICu9uBRyO5OnCPDrAFtpUc67jdAdsZtrd37GHbybGe\n21h9uB54akBcPfhjzx4cDfbINnGunzcJ85m8qeFek3iOaVg87G5JlxCEyClmpN9C4ldxPHmrobwm\nA5pOjQBjmfQA2jAMudykCQHcSJ1JiGl2EbInYvq/Vv2dKqP6tUo1IH1GWZdTTW9DKi3lm93F2L2n\nYSthyEQ2l9bg1Y7jxzuE98aX8OvG34RsvIr7VJjDf53zcF8yZpcwZSD6mgAkIMfJILQNbfRkpB8r\nYg/2fRkuoQ4kCjLQp0vSiRK2bRyxCQQj4RIonoIieVlDYvp3hJMCUtlUAzH9YfGUCO2NNX0nLA47\nDeTczbqHccYRy2nLJct1CzsD0W6xAoPH4anzzPTM96z2aIa5mP6ocEa4zEYBzj4qnhEvizdwP4AK\nJHcaDhhgxE+ZR80XzNfoju9YTlrOW67ijvdwxzwE09V62jxxj3oYwFLDvAzB5JPj4LS+DhGjPhsL\nFxHm5JVV+W1Gi8VRYg+XF1c6TNq6Rw/xcWNVWTGvyTcUVhVZ7Yba6bvobyc/xP93ysEchem7nqwY\nmVRQiAn9gjic3CBshuvtNtCP8mG2TCLXjc35TsMSw6BBHJZEA/A5krPEBQBjQAgY7qHKSFdkc6vU\nDKPCv2IY1WBrN7b+AWQudp8EKQHhyL6XT4vCZQ3l0cHoqu/XDengRGCd1a9DLl9GqkN+2wNwwdlQ\nsou0TtgDF+Lo0yC/wp+2g+ipddI/5DAeWmBauk1IHY/momkzSiLvElz8JghHaFNs4CfhgoGOlkaO\noJCRzLDOU2bMN0Ei2P0cWypsQY3OWjt76c3oPtKPYQv9TyB4R2mZhr0RU+0MBJCSR9AZ+WRyO0wW\ncZhSj2hOayAtU4L9aZBjlJODPFRkKZ3ViAOpg4ajhjMGccAUsWqtWsRH+iLW1tCD75t/sDr4zDPB\n1T8wf79daG1oa9hY861v1WxkG9s4gatnMtjnTAZbyH1FvU5qqWMjoM6YmJuRtmHln5iLr5mRbisJ\nR9J2SGI8Ywu8/J3bM9LediazqJkaGGhhr7mHKRmJFuNIgZrMKQicaTEmXOmEKyBthwgwxMiIk52+\nkGtHhyxqJ5CIucaRFezgAB1MLhkaHGJfYfeQ8okC7BMFFCmIiaEjHkhBAWMinpHScdwW5HYcrQJ0\nHkLrY5lEND2iY5M/QAzkNvKauRJjiatEBHAiHNoTbLlLFZU7ywPlbCw7PQG0xRmQhqBntMfiaOGC\neAxHmSr3JLtXzDiyWpDzUmDJuk8E1q7TcDQfLDpahLAXDLD7IKvgDF6NLQO2PsUW8gslHcVdg9zH\n7o9BzoKU4ZgVAdWfQ1DZh6X7ldLXSxEjXmotZQOdsA1PYhknk8wamGT2mVNY3DUIxgqDvKKYlpIn\n7efhpVbbzXYPvNRrEIW2z55CpOkrWP3fBDkJae5zkDUg+xxgg4DP8zrCDtVw8nXHmw5EFOKPZmQf\n7IO40IOtNrh1v4C97h1I7oCQk/oAqtVWG6+Fe35GfAY6BTG/KyE8XAfpAyEVdSZIaTObyWuaX4Zt\n6HVEmphb2V3fh2lhB8h+kPNQ3faDLO9At3S8jiXxNBbTPpDLIFEIk2dAbnYBjaK7rxtiDxOtkwd6\njmBptGGZjPb0YfsLKK5tvbgDSLgPEg7IfkZS5+dfnf/5fCbajGKt7gXZD3JsCZq8DF6TZWghyCiI\ndSU79tkqtpUCWf4MlMtndjyDvn4Gr/4MlvYPMGpWYixcBzkKosf4oOFyFruUsRYFWZ0bHwbs7sLX\n95cyfeoPSr9Z+kYpa5wDKCkzQfJBCEnxMkgUI+Gb2PpTkHzs/ghf+3OQl0HWKvJuSmu32n0YID/K\nDYVuxJK+7HgNX55AFTXAGAmDrKWTMAa6MQZaMQa8IEcwBrq96GFfnw8KCYZCtLYPQyEyoxdD4SKG\nwnmIkOGGHmjr1zAEVoC8jG8P46C0Fls0FKwYCltgjftx+C1Y4z7AYDiIcfAByCoISRtB3uhQhsJZ\nEMKYO92lDIobIL1QtLrx1d8B2QdyB8QCCSrSg0b19vSyp/wMw6AV5Cq+eQ/IPpALIHdAjmIc3FwK\nVo2vb8OIMGMI3MXX/whffAvIRpBdIKufgQAkapiIa5kas6pAmoSmgi9mY3mqvT6yhOYi3kNaXAWp\nme4hBNuWqtT5eY5wfXlwyfMtc762rLl52dfmLNjq77TNe3KgadGWNbNmrdmyqPtbA+FAd391ZY1K\nsM6cEVtc1bG81TPbyO5lqTDWdDTYW/1VbXU2wTt+raAsT5fvmb24LvqVed7WlV/v6Pj6ytZY1D+n\nwRZ9fsvixVuejzY8OTx3zgvzfeVOm/upuS3P9zfVNC42e8qKBH/nAndduD42Pycj/0VORv4lyciV\nEoevGoOicAKWyO2te1qxzAX7sr6B+MRnwizhM87ENfIVUlUjW5tkxCmkDDWwhYUtmg3GhDktJaBy\nUCBnJ8hgUAkuokTDwqnBXIoNkEI2NQ+r1eVkA4TOXAQHQDnpthdg/YfIBmsOzPT1XkR7JY/Vn0XE\n+E3E812ulwFydwkHmbwkQ1MNJHeJB/GzQ7sPyZ47dPuAQrUjfx9yPncU7EPOZ7S4Dzmfu4oPIvdm\nFcIWkH2a3FVyEEkbgH1KRip7EaCdco462akp9yiCriM1vTWImkYmruehXFE+VBySJUZzNtLI5za7\n+d/aG+f4/fOay8ub5/n9cxrt48u6BOOMYMgaebrL4+l6OmINBWcYha6bwLWtaJ7ny/4KTeN/bKu2\nGDxdq1tbV3d5DJZq22KyZasnfsN/lckPIvfThIgMZQgHE4hELeKdvDCc9fFPQGCBoZuwXB4DhaM4\nrZQMquQqbh2MGVsp7PUgd5Q7w13mbiDs9U3owW0CjvcJq4R1wkZhq6BmS69wlHV9zI6+XyWuEzeK\nW0V8AEUgz2eyEa9VR/nATOFvS7+sN6H9T0z8hvsBG2Mi15hQBRC5mG0tk1ynNFMZQgpAHYHyuJ9o\nbxc+e/AF7pM/8RxfLGS4AJ+XmBFIDs3YMEMgZKAZlOKXh42RCjZmS+hQgMm12wK7A4cCxwNMrrUF\nKjDQOpswbg0BIFtxBk8WzmUwi/+bJ1DQdoANTBtHcorHOFJDokhMr+ftvJ+P8iq2EBMkFfpHj2Rt\nvxAV2NF1kDa/aMBRQ4Ojoa5hZgOg5/SN9kZ/Y7QR1zViZUI4RUyv5a28j4/wOEUjWASvEMZNSIMj\nFJh1MAncpdvpG+wN/oYou510r5EO5O5pag63yoZMMw1P0trNlaKZBioOMkYHnOX86khJpc8caysx\n6wVzRaVeX1lhFvTmkraY2VdZEqnmO2a2Su5gRUF7ka2y8C9qmioKeIEvqGiq+YvCSltRe0FF0C21\nziQf/W8nnuPu0bdwsHGVHBTXK+FebHzG9Ju57RyAAFQUsWPIwBNawkRPK1eCTq0gf0UNQZ3NSE/7\nJgEPQewE2DcJ8LLHUP4u7ANy0z6I9PlD3SjVCNmgniT6EwlsOLAWfblmsi+1DdYGX0OEPo260dzo\naWzFp7mDTzPtI9/DnXSCDXfy404zQQjWZ60fd1I3mBs8Da34Krg13YLdv9Ha6GuM4NNUa8xynKgM\ncU32ldZGsVWOJG1V3HChe//upxH+o5+GzZM57Nt8xL6NlvNBXweuXBoquqB+wAGwRQU0FupZRP+i\nL03uYjZQikMfDQ399KfCvgefhcVX5XtVsXu9S/fyJzQBKYboPF5NKRhaWCc4ultg2t2sbNq2sn9V\nuNsaMT/8YAuNmatCjM8j3JgzEqdBLBN3HJgjJzRpGELkWwLcMMN9iw0qG7RQYBRldc8UfgJaMTuk\nUB+EqRUGpyGAaC8tQBFpmqb4Uf4Cf41nc34/RkjefuGwcEq4KHzCOFhMf0R1WnVJdV2lQoi6+oj6\ntPqS+rpaDd2PzgaLky0N08+WDqrIaJG9AAcYm+Vlf0IIRoNwhM9TPdHR8YRqhnam1ztTK7zX2d3d\niYpoFEc9yQe1XE9CBzQmREFOaGSFSksgKxrg5EwJnlO4oobtaGTcP6wA7DR1Rv5wIuvqH7TjP/bi\njeO1479i362PG+F/LpjYul4gGTixnpOK1GI9u2CayNMo9JUHYx5PLFiu/PK/P3WP/XJZ/PTf8n/P\n/xNXJXRLVUB/XW9nSrVdDrFZDzt/Ech2GbIyUZxOrXdvcm9zM8H5Fgydg25Em2BrCcimHEBlJXuv\nSkVgKGU7pWRtryyVOXPKxQW5GKB9Kml0AZ2wgDEDY2mlDGCQBFSoHCRwDMrzv4H8GmQ9wjAITe8Y\nyM0cgOBNzOuwugfpo/thJNmHKY3YMKkVSmYPyD6QA1ASjuW8IF8gveFD46eIaF4PNeFdRDRfKL4G\n6aK3eAUCm9+FBW0popuvYes6ZJljIF+AGBB8MB/e/LPWD6zsNn0Q8+/Dkn+s7Cws+QYI+kdhIL4M\nch/EgMDv+SCE50+uuXdh5V+BPv8AW0Xo3/XoVUqJly4p2Soyig6GqnQAr0ngDfvwNgThj4wNKY53\n6StGwmDxTYhI+RCRKLxzJd7kJoSlG5b7EM7oXQ5DJblLuiladTiXSnYXiVInXedztQeeQgtPooVX\nQdTYvVglYwx6ZWEqwiaOVaPRamSB3GqxWPn/Xjzbx4Qnm40JU77ZxWH3ymD0mTnV1XOeiQZXuvk1\njhq+vLm7tra7uZyvcfj9Pp5nolVrKxOxeN7nl+PIPhJa+AKyyW6SOJ6N2U0E2garCllnpVu0gA8K\n64VNwjZBNZADcVLxXM5OK40BnUbfrxnSbNBs1qjI3nYLEta3mNxiI0EMF04gRKVIdGId3IDgOhVP\nYY3qNKapj8l/oT39X+166qkuoWX7iy/K2Ow0p7r4L2Rs9hPQ2LYzAvGlIy1pazpkbE8Fpn0KQjsy\npyoyWZx26U9hGHgLcuzRyjOVAgG0tzIhvtKY6GKthQd5cJ4y5Qh/XZlyXWyn6yH89a4s/nqXjL+e\nDDbEmP4ImIUgm4FdxpGZbAbO7iIY9tlsBs5eMptmYBLpOuz1oZ0mz1RfRjbjEfiMzzKSOuI77buE\nIhPIS05+2PApu2fyQOORHMb3LwD6HW7ugXViPzLDW6F39uTMEfvg5OwFOdKOMQ1yE+QXtDUb8xvk\nr0GuQkm92AFxi5Txk1MMMkcxFM+CTG0p4fOfAklRWhHIKZCPJ7HJ0czraObBxqONsLo0x9HaA1Cg\nD4SUhvagjfvJ742WXQXZBzIK8gmadxnN+5QR638EGRxzQvvojHE/+J2w4JFKR2NuvoQfnU26x+OB\nL1AZTFPmkf/ReUaYij7un9kMc3KdkraQaYy/Y1QCTsmZmcLm5WGWKMrAzF3Mlq//58uH1v/Ot+vw\nP775S2mdXTxxhP8XoZyr5PyCSVIVAU+Z8bqUHC/KBiBQO6UTIPoilQx8nUzrx4BWFtTH8LNdv4f9\nJHQkOumNCX86UUp2Yyuh2znSqPJRo3ogv5yVvZzV8FDYL4lEMjDciayZWpchGHJsMrXaCqBlUEsG\ntCwjnQPIs9U4UsmudNLj/GSmpqULgdvJ08IlqL6yGpb8QLwJbrMSgIr6I/mn8y/lX8+HB4V8kojE\n14OpXyq5ztTcJNAm2c8R02mUC7mHaDM9LKB3YYUs0DqsDp8j4uh1rHBohqVdWJI+LPu0DFeUn0ae\n80Ew+BvllEQF5RPuHWEgtUNA6hBCPrJJ2my9QNc+gLiUl68qV81QtasWAgcUGZPSDeBtH8s/m/8B\nILiPUlMJKIM1NXWy5HzJVSBiUijOSbRRjTamsHUX5O9hEvstNVl0mBxuR8gx1/EUmoz6JMlLZdex\niv4Ya9MBNHhyKT0LAi+zJyxPH7MbsjjJ5CGzPMN8WtlLauX7a9qKwq6lDcGmxeGKivDipmDDUle4\nqK0m6ArVmEw1IVeT4Lb5vbXC7E61f87SYHDpHL+6c7ZQ6/Xb3IKgcQU73O6OoEvz0Fr0HUmDWNhN\nkPo0kOUIZ48tMNwQt4HbDJWJqfe38Mk3o78ENcV0q8nfc4tk0EHVetUm1TbV5IolC8y0BkGIFCEd\nJovUTog4E7jLBrhHBFEtR4S7fVp3JMQXYDX6ar/Q8uKL29m8WTbxBfc3/GXC6fkWSehSP1ZMeCaS\nHGfkhOFYnqzXIVdGPZCSA28h42lkV0U+CbAlaekW2O16+yaw2wS2Y/Z+u5KrQxYjw8OhtPpMwmxk\nzCHYFCmV7XDgDcVTtv+m0marnPovaK6qMrN//FeyG1n95xvceW6QydmLCO43IwMr3wOmso638bW8\nOJys5dt4Nnrl2GJRTkwWmIiJuBAFCpejSOMMYbWxi62sz747d+4T3/+UUnw4+8RvRK2MHcctEH8i\nVZaK9alNpdtKd8Ne7CxlU+9c6RX4FJaUDiKLe0yG18Y3nyBvD0y5Y1i6E5Vy4RSm1hC8ZSmyqJND\nwQ1BBHcE2Z1OBNPYjrHtxMyM1I8qFRtmbp7JuFRtOjHTmJjFLoXzm5tlnCUMJ4LkYSLn0ixjYkFa\nGkLQVBBBU0sWDS5C5uCiQ4sQ1rdIkQumla1Sgngh7WAEpTCaAmoRQj/7SOTeS3FFxiJXETvmNibq\nmYgCK91EPVWESLRmkmOttxH3OKuVQvdmBRKtTKxhl3bg0g5jh6tDRMkt+Jcm4nhE3BkPxMVhaUF9\nK65YAE/yJIO5AMtIL8jnkLUARAsdn22ndohIV8Q5uTJVADOT4kDF26VF0iL742X4Gr+ARunQ1jGN\nMotZn0LZiKOIc6HCEV8g9MWgc+jqdKwpUbCrXfkH84+CXV1G3Md8pbRQalfBwYKjwE+8DA72BQ4Z\nChwFdQXsQhXE58+hIJiLPUwzSO0o3lecKhazeeAREDWk6zBcZjtK9pWkwPgugPH1gqzMJUYuB+ci\nvAaC8V4OyeUayA0C44GJ/3TDJZj4VzLZJHWp8XrjPYSKUIzMq5BNVoFcBjkLchNkJeSVLSFcHLoU\nwpKAAxtBboCsQCjja5BnXmtD8kBY6IGbWoXOJdD9HiUCW4qgTyO6Xphe2wriiMYmHEBdDuaIcP90\neN2Z2CKMvxUE5UdlnvAKZxou4xUowHpVLsTnPgiJhyvQ6FcYSZ5qvgip63shxCiF1oReDsF5hDbf\nwetcDH2C11mWa//rrP2mh+ArtA8pwp6pCOdsAXBPB0Ff1rT8a11dX1vepPy2t6/Zsmjh1jXsd+vC\nRVvWtAtzip/vDj0501UZfTJUE2uuVrPR1eJt91us9e2elh4dPzT368vY9S/Nm/uNZcGmZS919299\nLhp99vUl2V99fKl79lNNTUvbq03eqLeurayxo8bd2VQxq57kmkpunVAoPM34TYTvl6xAUUNVMmkI\nJOaXgdAYH0sCw4J1QBqdnAAZAolZZenCoH7ASa5m5CWyDwBMMITkJpohITVvbt7ezJTtZjLOQ6SP\nlPaCg8muz2TE3IufsL0HjH2f4taSredZcTrq7oPtvM0bBzgBwIoUJ9Vb5K+sj8OifxS84gA0gbZA\nPACZJnAUNXxScFNEWnvhplAeHjb3wO96GO61I3hcFkblrcpjylOlg3h0mzs+5dGkehzAMyP1vXjm\nfjwuEujFc/ZNPkc63Pro+PBYLFqLBm5+2cJDYEgRbxgufzlUNGL9vfLmLq+nq6m8vKnL4+1iMvIr\njnKeL3e0zmitWlRbu6iKbTxyhP99X3eosjLU7cv+DlctqquTzy0rk8+cto9vXzvxmVCW9dPEpdKq\nST9NqXHELPtp2OrZkJaCOT8NXDTS8aDiCyAHzDTXzDSnjeKnyeFGPs5PE9Mfs5y1fGC5ibAa2UUT\n079Tf7L+fP3VehXpgD8S9kI2/ZG4F26ZsNhDThrGggWlPk8S7BSnFO+F4SRc3IOfH5XshTMGaDmS\nvpLPYuUMJ486zyAUW4+MdiBjJY+6zwCyTA+LRxQkDkyco4ikuw+ix24UBHE/kt4DpHhwaoUrzcQj\nTjv5gchD35x3t7qnewatoeLQBnh0oAFBE4JHh//5f8yjM35r8cMOHf4PmXzin/iOIFLtgyffFtUa\nVT3Z9NJZN85tgc/aQsn4SQZB2cw6NcNQ4vJUsoWMrGIa0hb00BZgyAWSQ6g1xEf+7u+62P/5e+1f\njgoz2/9OtuU1T3yH/4Iw8f8ze37h456vlquQEPyOgShb8lG4BhJeIex7HAyYOSgWapFJN9kiSaUj\nHBZVYEQr0OhUUdUaEUjsaGux0lb2jwniZDCW2/wu+6+LiKBqH0+1nzjRzs9vPyFjUYT4ffyAkCaZ\nKyWVVkJGZYJWVqpaIqcyQYwifMnJoo05SF51BsKKPZPFBiJ5k6ewnyTsvuAMWNZGQQgelyBOTiLx\nMwsPdxRj6CBWsTOA5coqY3IxkgO47DQICuAkDxecwhWHccVeKjNYwv+7oLN8g7HMYzZ7yozKb9BS\nC1iJWovyK8ya+mf8Tv0r+0VfTVwVlvJ5wjGS5weA/g+7cSZmkg1ZMoo+bO9jGj0TGzVGDeuOfETx\nJBHAw4R901DJhpLNJdtL9pQkSk6UpEvGSvRQNcwBG5R4kVgOBp2pJVtaF5xyyvbecqu1HP9OKBvC\n66VOZ+mUf0yOXsytEBYKWmpnGbdZ1jygFCWhEwmK7pGE2sH24FtinXoF1kzYzuWiD5se0kCwbSM7\nuZ0p4ECUGQLhMPe3V0CJtTsYE7UTkgpTPRwEV4bR4Pkd2oe1qrWK/6OHVZAz4wI//gNFDwlkN863\ns/eqn/gL/r5o4xq4MDdH+LZUDr1vDKhB6fIxaNQxiHSbQYZA3GoCOHEHpH7G5xgvT8xJY+aw8Vqd\nSTSmYXxgU6g8G3w5YlITkIIvnfAFRmrZDuPYIRVFY7Yrpolp+PqEDwzz+pwCBMqjhOLEnKzH7jh3\njrvC3YL6WUBzvgDw9KAmUBSqTcwhvKw6K1PUB63rrZusItMirIeYrJE1Zyf7rKusbBRVUYuryMXH\naG0mubl2e61A1awa2Y0ayO4RxmPD58JXwrfC7LEWYyICppCS3criQGqddqN2KwT3F3I1UrWI3dHA\nXr0flcJSxaPFFyBTixAtyWhAZve7sFifNX1gYm36uemvYPDYSYFekFgoGhuxV9LH0L1+BPI5bKcv\nV74GseJl52tYcQhw8TmAKb1WtwNgSheALPQKDhyuO4UDVyHDrGwCE0CbEX6EqU8JRRo0dC+s69Ra\nqt5Kgj8xg9+ikQRPdxVEi9ZTCdLLILty9Vr3o6n7qYoPWvkqIuZQ+lQ6yZqRerkOLYO1BC2j5q0F\noaKWK5AM+A5SakYZMU1aOrCsab1ebXGlKPuK3a1ery9SKYYiWAvDXp+YNYKMV3dH3FXhbk+wpm2G\nu7DNHK/xxGfWOCPz64M96yvbjbW1PmPQ1Ogr4xdEg2UzXCWmqhl2Pm5wNnY11vc0V4g98wptTmPQ\nXcWPf15Q1dTdVNfdXCnO61J11tebXZY8Pr+yyROaW8KvEMzVDQ6Ht8KipzWqW/gK93NaI5slDcf0\n6t0cvIVsUMjcS1Q4VkrmYCL4kp7xJTEznR115zjPf1M4Du6/gtFd/PtslvYwJT+JSFxheERUP5A2\nw3gVU6Jok0PqDTCijKmnQVooYpSS7S1X8dnV1cVuSesU4nEe8GOcjvPwp6QaB2Y+hJMTIBwTTmCh\nRwWhfqTPOGQAf32aoLbZn+QZLg2ycQHwbyrB1Q+yHgbpbSBjICdyZbmcrCVOw8MynJOcZkx4Mstm\nTuk24nM5PT9MMZtm40gh+3Ox2Yk/Fwek7cVyYhyVTqGQ2v1grqug5Mmw3yCEDt8Dsh+Low9bvYBD\nIOjF1cD9WWl8wcim0hbjTjjLVmIKbMRkiFiRGGs9DWYRsfUC4Odo+ZlyWBkrTgMtMQoGTcot3EQS\nByzDJVTW9wChjuH5kVxLsDgnw/k9+ew+1nwf+5Hxdz9BQ1ZgCu4g5DWq8WiEmXSFca3xFePrRlW2\nLUetZ6ArUZoG+bEAfygdBtGiKRGgN16oulYFtHhZJdSyqSJb4KcFkZn5ZH/c1d5QJojlje3u1kWl\nobrnZ7asinlqYsubW5dGK/nCuU/Z68IVYXdHg6PJVdfaqMiG3s5lwUol1+EB5Xmty+bK/oSNJx8+\n/rC0HiNgCUgAuzQqOAQBbvBu9gq52ooP3+NpukclXZ4MeDu9rJe2g0+M1aFfb/uzWEXydcdy1z1H\n17XRc2L6Q97j3nPeK17WcRtywzEInRwYZuzvbcfbzrVdaUMIedu0PN6pbdlE93RI27M663ByzH/b\njzXeb/QTcoDIhdk1d7Iy3iL+r6XYfDZ79qDUahEyWjZjawgkxghihaEGzTdS1bAYFpFEJDBSSsew\n0jQEpD0N/MBIJZtt7fNjlDIGP8wiefvsImUKTcPR7mY73Vgr3c3d8qpM2lA3IWhDP7bzD6RaNaVd\ntbuzdlVJi1D5FflrgSsMmOzkioK1kACBAp1cWfwCnKuwyUtnYRhaWfICVB6IkdILYOjrAhsDWwNY\n8KC/rW1hh9a0vtz6Wis7tBYpTadms8vOd1xFYsqKjrUIzD0FT9L5yfK0yfNdV7vY8ZcRh3keEeYf\nIOZ2Y5yd8UH8ZpydsXLBC6jI/AGSe1cufGEh2gDD4AcLby5EdCBhg+gx50/m8P2AhyydgplrBRYw\nWOvlNNIVIGuU9kqj8G6Nok0nFz4aNCc+tK+Vl6VctpFS9p3mVTjC/6XFF612t/ksFl+buzrqszhM\n1Y1lZY3VJuX3A6uv3OgKx2tr42GXsdxnbY97Zj/R0PDEbE+8/ZSzFZe2OrO//LqyxiqTqQqX0u+3\ndc665rK67qDDEeyuK2uuc+oE43M9jfNby8tb5zf2PGdk43F44gvxFW4Nyadu7qdwa5VAkobcZFXM\n9pN28THuNpenCK0AUMjHaflD+RvyN+dvz9+Tn8g/kZ/OH8u/nY/T8o2Ma0FpseE025Btg22zbbtt\njy1hO2FL28Zst204zWZkvFIazNV6KGPjswwsvigNQbwMCZgJc5rE8akSrPp3bIuvKBLs+NuPbimG\n9Yf/cTK+1TnxOl/MesaJ+CKmmaqN2bJPfJqTBLjaxwSwAA8TmcXrD2zi9XNdnHIt/xldW04XBqZc\nyAvTLuQ/G8/nP6MLBaYjjAoL+Z0UO9MC1VNAFCT0VIEQoXg5bEarhBeSFisDJN6mcnC8uarVw/4J\nCyGws39Ce/uO9vbsWi1Ui3mcn5utegKJCeoisT65ybmNSYFsBU34MxLn9FOUKpSS+dxq4Nu8hu23\nuXehi3ydEKaK1FQYCba2X4P8HORDEJd8+acweD6NsIgPsFXhojwc4Acn91WkKuSnudPQABAvkwRG\nKbu7Tz6PfNGvMQLfY50s57cwnrYEKWwBkEFIe50gm0A4ZAKOdWLE1AQACuAMTEbZKKJCrj6irxZC\ngPQynvIeyB+BVDhrcTSD9fAmGvpWxTEs05yPoikJnsxaipA96T16U/n4dbzfJibrIJQSJqqoHLL3\nPM6PIDBnK9Tlb0Pt7hGXQ3TeAZMyme+1YD+ElbEV5CbIUkhlpJQTasZbIK061kejuguAPqMkzR6q\nN4stNTKQWkEAW5SM5vXlAUcdjEyPgjbR/D7ICmdy3sczYGo5l6mMkEx8mVI79ZDP78D8eAfhLyhL\nkvym7Q0gR6+0s9tttG+FPfQgpPU/gIFyl+Mgwvmp/iZCfJJtFfEK9sCVkOJ3onPeAtkFEecuAqK0\nMGT5yJoFkoSY+DxVDgXpqUF9AW8PrJphLP1hiEURfKBaFB5ZhQzSd7GkvjljMt7/TcoAgRqwC+St\nJvREc18zLHDNB/HTFo4j0v8AIv13gRwFOQCb+S4KZEBeZQRepTdn7Z/FLnizfX87Voi1GPyvCltg\n+CBHC8GSrwShD0c1uI7hSxyjNGF0MWlnyxEAdZWcGkBrfBVgC6/at9izPSnFEQ91Jle7NF422Xe7\nsiWAWetdBxFgdAC992MQB/rs39CP9dhaANIO8gxIIUgvDIJhyCzUgb205QNyv68Xtuk69OPT6MfT\n6Mc+JppIBpB9CPzYj67cj15shcSzn+I90FfRXK/Nz3XdAfRaFOQAkzP4SlE7zcJjsUYaRdmeDAha\nKxNDH7ZDDjXGmx28LToUD8smxvCMnhqh1OP1W/+w5kVHwNLuCFrX1I6P2BvmUJA5BZ3PabALP2z8\nyrMvzmr4yuImRbQsrxQ80WBdabSmzVZb5DH7za3ucddDpkriseT/JZ2riPvm2/mqAlU99H+q3xfT\nK0BLquH/yLqXvFJ8C8KOEwEI64s3Ybs/BwtYxJhO0SNYSvoMWyqne399TKvKeX1L4nFlXfpPgorL\ntrmc+xv+GrX5/3u7QJXP2pxvlPPTkku4QSzBGjRX86jV67YmDwB2TI10aYKamKZfo/l32j1N96OX\n0MkRmdmmT1U8EQW7bErT+YTS9i8fZGuTMtIrcpydO/E2r1ap6pNAwEImKNzVHEDbTmSD1WDbJFc8\n2CAHwDa56CxFsWD9VGdAtXJZ8HSikH2w/sKhwg2FmwtVdAdbWupEaGGwbBpYneICoELOhoci8FHE\nmUdgbxqpvVpC5C+RGXlcQd/npOV6VGDK2pxlS5k26zwzh/jq9V3PPru8t7CiMD/fUVBWXaJZz+8c\nf4Hf2b55YIlKbBdVJVUz7K/Cn47++CXrD3xLP58HDKrb4BQcCjoUZlAAcVgpdw8Mv4dGn459TCMn\nx4tidGqGASdepH4ApxfMY8WPxNxUZpInKtPwIQXhgK+ltd6F8iXkykYZJipyJCXqp8ldSq/Vsp1a\npddK2E4Jeq0M4yF1Tg+wNHEgltepX6If1K/Xb9KrEbABkbAgjYcVgo4UY4WkfSvkOKDdwI8St69E\nwITUaweW7RTBjU0J7e/s7l9WlpRU4l9RV9eeR7te2GIuKzOzf18+y7/f/rjPQHGJn/E3GR/w8F+X\nDCViPRpck2YyxAjPpI6arIiCmoTSEIJmgYQHTDyghVEFM4NxpIx+shXEEzmplbJK86dOIHSYx0gA\nz2pPEUW6BCRBTYWEPoKMYCKxSqkgDtkHpkhknLNL3HQiaw3G5HksOstz1nsqBnkY5B3Y4gFmwT70\nKIHgYFFCSZjkaP6FXA2YNSCjBMUFQeBrMMWdx6L/CQiViZ8JcgDLvB6r1UEsSVGs6fNBrhOQ7ztw\nhi/XrkGKM61+W3G3V1Ft4qL5Ezgy1VkgjAFpL26lwa3ewq1QA4av0mZBaB6BKafAOFMV/8vxf1RZ\ng7bmJ2dV1cRWhOa+WNFbGg9Uz6y3OxpjXu+Cai2/TvjOeb2uevZTTaFls6tjHc66JnvdzCpPR4PN\nXMKvJ96J+fa3ImZeBfceqiPfRt9wOsIGlYJUml5NBZLV7EeVAVqsPiPX7wQtYSfBzgrPgEAge+Vp\naQNMlNtAEiDAoJbSTuX7E2cpnPr9H5s4lgt259OKG1JHhu88CryzZHmQgjvCJXsLVjA1uwrR8L9z\navzt42fEZ+M/+x3zgJt4SdAIaa6O/w4bfkifyAIl2DLSEL4ex74jOAvTXGppjJLnqdRky+4wdcyM\nOgS0zzioMyON5TrFT9dwCT/yJ+itK9hbV2By+GW2qyXrHJg3Yw9+Yg8VxhE3vXwqwvfyK3hxCoht\n8hXhdXherYJPEIZTO40HjEeM4oBky+U/67F1D5YHXbENweorEVt3D4KWDkJqraPNgRojbDt1pOx0\n2aUydvlBAmcBISCotSBvgkRQGGqFB+Ch3hVeYZhL7TDuM6bwSAsedBeP1LKtpKbYgqdR3SSKNtQr\n0YaqYekd3HoU5BrIfpCLBAyEh6wDAfgW7xbhms1Nh4iJfeQIEvCUb6zVhvj9r8xVl7ojtZb6Ylde\neYG10pQndr74SpmmtKbF21JfXVBRZHeVGkTLi/xXx/eUhWeU5RUENRpTpdfEPxne7myb4agI6vS2\nmlrjt2mOeBnREI5cIfc/UVViCfhcfkbajZm9HqQTJXsxOBi/E5HYNKJV0ZpJ6ieOMm5fEJDEAiXQ\n6vF1ebWFMlBpIAuHIPmziJIDKF+MW8txo6KCXnAeX/4aSA8Sk1ZQJVHYYslW0wZih92pr2BVgTDM\nOnCWQL7WqlY+xK8UPrsTX7MmPv6/+cpnhG+N/2HXgQNP8mcRq7hqYoxfInzM3llPpZpFxl3dvJXf\nz78bGu8QPnZ+WZa1cRsFKz/Gmbh2ISK1eFHVzyujIcGyvaSFbbcYR8rl6AQ2e5vT7G+J9nSinSm4\nUFivwE7UCXIcBGAs3CRgnMINyC5neMiHRTtRthPVyTUuwSTq5ViF0igCzpInS88j6i4FR8rHyPDf\nXrqHHUhEjSNWdlZFVb2i2ib/quIX0Go/BRMO1sM5lkoG3wu+HxQppgEhaOzPrRT1BELK6n5Eoe3U\nHgCj34klZmf+AcQ17Cw4AJtfK4b7PpBekDcx7xDmJWTju17DqkIwAmuxFceiEMdS0EaaDxShI1D+\nzoCchmYC6DUpDqUkCpJCsvaK8FqocKewfT5yNcKefzhyiv2kzrRfbr/RLiKMRkbwf1PcD0WbdLMd\nVBoZwzdO7myQH4N8A215H+R5kKsgrWgkmpsEwApeDS3sATmNxh0DSaFxp0BWQBO6BE3oDMgxkKNQ\nhy7B7HoG5AbIsfbJEAyfUlUou9hNQ6WkQIzWXOH7V8sCnZ6aOc1lvK2xy+/pDJTlVwxEm3vqTYLr\nmVBoVZe3pnNFizkQaCwVukyR31/S84cNtz1zmiocAXY6+61omjP+A1+gonmud2mwtqZzZSi0ssuj\nK3WXLR4PepfHg41Bjmo1fCZUsPWxhb8olcKodUiWxgmPEbGc0olsQGd+Gu71Usac2bj3cjAKJ7wB\nqdBbStZmQKdXyEcrAih0PwP1G1o3I/ZoSVgZ8xQ4XviQY2laCWHJp7XLIIgjXjaAi3yE5WWXwXe0\nlLaK0bpOtRGqwavwl6wDATZ48k3DfpTEewmLJvlDoiDkl+yGsiOnMUlhmD96cobdHghB78PoQZYP\nDdT3s9haicoA66o2It8DqRTJldUvVCvBWN8EOQuyEjUI5oNshAp9LYh6VU3Xmu4AJdUCzNQLzdea\n7zSjelWzpZmtIsm1qlfQ/OfR8lcoPQu6xsYCpcko7SWX8R1G4UTWfII0RKNGs0lRA8lk9XtozUto\nwxqqrIf4sO66ZXVCtilvMBJyF+esz5Qzmx1hrRY5FcHrbpXL4pEMsaPL3PREe21PqPIbM+bUlVZ3\nrmgtrCzMt+X3D744UBn2WeOh2nBVoeCa8USHx9bQVfdSnaCqifb6Wld0VInqqCg8s/Tppe0FFYHq\n9q7KxjYH47V3hBbuHVpfngOiCjDZHwd6LGZieZOIpOoBqUjkh2MFQTEm9otD4gZxs6hhmoZLVI6o\nhxOCkkbJZ+REccbKxJDVbXj6uVnCe9tlHXQxVycsZG3QcN+eNJ6qRQD6xIr+i/pP1T9X/5X6F+oP\n1Z+qtewBZrVH3aruVi9Tq4elz9Q5QH4ByQ2yBVdWV7MlalQZaQIqq5oXJhOqZINs8hR3EeEcp8VL\njCuZ1GZ1q8ezmEyz/2P8KaHlN42/aT9zButMC+fk9/J/w6m5PH7R2xqVXlX/NqcSmb5MCv5Acok4\nmC2IkA1WhtyoZ9JihuCcmeZKyO2cpDOgZh2shLfA/4AuD0FWSKeMBpchaBCHUycMacMYyh4YUO0e\nkpZc4ZwN1+XQyO9T0rGcI9yHLGEDHaVMMjkRvA9Z3AYsxvcpWt+u8quiqj4VjiI74r6ajqr96qi6\nT42jajYN/Jqopg+h9Mvhd7lPle3tWr82qu3T4hw6SqXs7Tq/Lqrr0+EoXuU+gWnZDX5D1NBnwFHA\nEK4EhDUwc9if8vx5sIDiTwTT/jQcu0+zTY9V64tY1UT55q8Hvv/9wPhF+rmdqPrlL6sSRPENZrNv\n8JfZb9D6tl6lYd9AVHGqemkIdok9RLAoDskV66FBwIwBaCYq3uYEHLwTFtnjcHHrKcDtNgLc8tIc\nexGxPnVCl9aN6cSBlFHn0gV14rD8bWT8foK0BiJ77sNIdyhfV8NbeC8f5nt4NiRXKmUdpqXU36Hv\noFFZVF5VGN/hjpquVFvUXjUSQdmVMCuzQ1qL1qsNa3u0uBn6/A71OYqme3Vh9Pkd6m6NwWLwGsLo\n7jt5dGWeJc+bF87ryUOdytVoxzLqZtxkGetrBI5qfR6iCepj3v+YrgZ2Mefk7lBf/+XbaqXeU3Ym\nAWl8UIuxzIsYy3gO5YrsRnaDzB7QgyJYgUiQcPcpvcTOyeMYg4DLjuOUPIxFZRAjkt4u+sWoiEO5\nAgGPHcYpefgy8UIuq7KaHYtgHGnv4KW+HqOXkmM52Njh6H0OvS1QvZiJbC2ULOwV+55ylor8ZiKP\nwUDcD6/Cu/gg2rgbw6sTrbolylEKd+jNLExID3M9eDPCYFfTGMDryQODXarGVXfwehbRK4bxemq8\nmTww5GHRw96MTQ3cAZUupOXsBAB9+SLd9EL8HvmNeC7OXuqy8Bln445I+TbIBUwZhK0MQFxsvG6S\ngdwAzyWloeAjAUaacEwD5SicKv4rwi0lkmGhF3RWSA4k3JOY/y7I25hbBdC9YTRCDyzHhDpFxecw\nSbYU4X02GrcadxkPGlVM9DusPwXEf/xB2gjwrF1FB4sYu82Cl1jMTFvOLm9md7xLyKuuC1hXL+8K\n96kbQ7VdTDv+kcllLRhcOX6RFxc/pauJx24jtjAptPDttG5puZ8CGWCTUqExCex9xo2FTHJMuC0D\nbudAtqcib/8/ALfl9PaUXCeErsrWDWFXqTJydOyjNT/YcqfCckcORQ1b9DROakhaxutWs39HZj33\n9Pjbs54HcPf27exberlzvI/8kW74I3nCQlRnsl7MTsysTnT9FLekb3yC589la6OxscAdEI6QzXIX\nU+ySscL+QuHfMVMWTzVT4u86xVQpbUaK+VDxBohiu5VaOlKsGEKiPjBpNlFGjFJTJwljo5At7UBV\nHdZn2SwFRD1kPzwwxUo4zSRIMRuz2Dt9QTEbL7CRruHmUMTGblRWQwqlINdwSMbU/Wq51sPExMRH\n7MyCKdc8za4pTR5SHcfp/SqsOrfVcpzJxFV2Rh7FmcjnPsfObYkV7Vbh9HOqK6pbqgmVdiBZpHKq\nhGH2B8shy3HLOcsVyy3LhAV/sDgteDK71x127TtTnruJ7ZekOK1R69KKrI3afm22HoUw8U8Txuy3\ncnJ/kbCwb2Xpt0z9VnmT30U9/Lgvl7DQJJc2u/CVqjZA+N0NmTOGvPaxKszw7FealhNKlh2mp9KX\nUT7V+mzNvuxXgm3HKAvwPWXLy4QBLhUvW1n2Qpk4MO3zKbWai7P6kC/3Mf+XqDPpbBWFqi7BGmkp\nt+W+7IMUL6hKKqqLBe+X5wxNzV4D8WXwsY8YHzPwf87YUPKQ7rhOGBjRqqmuH1u/RbDBFkyBHhCC\nFLDRwgbyR9h9F+RrWOeZ2FjCZJ6UWwgJcwXGYJdBAgpj7swD+SlqygHpcruACZ0QTghpYQxJ9zoS\n294C/8cikPxAfRMRd3+MA7+vppov0tcgRH5BGaWiyqRyq0KqucgoHSIg1IdLv0gih+D4JArYCXJi\nanKt+Aq2qXLyXqwkP8RRVPlRshLJE66wZeLRyudTKuY9VNaHh2E6eZH7BCEAq7FwWECACM36joIB\n1uJJlBi7EYRKRB/Bg7O6OJV0NoNo5Auu51ArCa3BA6mpVINiIaZISKt2+xAx/8Y/PHuDF9b8tquL\n5//+wvidO+wjKjGNhC8SZ+2XtiFJF1VVBLLjUkxjEmWXhN8V1fiw8pmLapTvP6krfItgZMArJZ7K\n3MT0dfxMfj6/GhLxv+HBwNHB5P0u/0P+Z3ySf49/n/8Y2oxAPipoC2oV0xaoElwO/5KfUkhOQYli\nqoKsIyRPaS4yhs6r1WZPq0dYOP4U0xQEfpy/d+ZMO1MX5DZ+h+JE1FwDJvWUYBBFNdBmuCynl8vV\n3SZhwgOzWJWwsH28gx//zgft2dpb3E326nnceXavJByEcoxoLlkii1lDKRrSZlhTYrC67YauOoaU\ngaGCDQUYX3xASZeYNsqUOnWxoun1b5iqpYfUg2OsQ1EAK4mKWEjAPa47p7uiu6Wb0KkHUkU6lMti\nassm3TbdbiY7ZwvSsMFJGfi8XBRXowXucLY8VK4wlCli1rLlX9saYR/5iSe62P/5s0v7nhr/z/zs\np/qe5NezPpjLcaLAj3Ez+PcTMwLS8Rn8wEi9msybMxByRFUBpW0gt0FcjBGOuFDJlyK/LewEKObb\nQG6DuCzsBDMbjojJkzYgsa+zkfXZOWwNgmwDKcKxTmy5sDXWqAxUPesyvTIxi9lOsWFqZyo7SsUJ\nSa2XbYHq8xjwaojk/wTOUlhM1j91IZsU7xd+XIjg9DQqNRcbRxzCA8aTRzyyjEXpHCl83Esw5MRz\niJKXc4iScdglKL6BylceRFTDLvtBRDXEYcq+BBIFiSPEVFc+WT38OkyOB5HXtKvmYA0iWWohA49O\nZlRK5/HYHghvF4quAfmUguDDeGYvyBt45k7ImK1ZuNAB6QLIVTzsAuGqg2iB1XINz/svCJXYWcMP\nmFq8qGcqO5yyYAxTJcIpsqEo9Aq2ZXWm+lp3fumKAJMRm+d5mp2F7EdT3+jp4l90tDh6/XU6s7ey\noYUExuLehRXB2VX3sZGVHGFf/hdhJTch/FfGp4yEy5Itr0KCCpuEE+P/yhcKK8OyfYIvZvN5EbKt\np8tnFCwGDZN9Ipq5xAmK27GuTZTz/8hkmXLuH6R8DvI5R7khAK7KCed55BCWLpbIDnZHWkqjZxIg\nVBZpe+U0ed0w1VGumTr+lB3yDOtkr7la9tvkpaUSG029DAYHcHQkh40Y/bdhPf2vIH/moKrTjr9y\n/MLxoeNTB1WlTh7VndFRFWX7Eftp+yX7dbsahcHesh+zn7V/YL/JdpkQn4W3hG3UYs1mr/kgyEfi\nlS1eSxc+Gon03f4u/v3xL5cvsDXOrb89/ieOkGNhictWWPG5bAf6Lve8YOHvM+1eQ3UG5fJgV3Jl\nhQkWpx8LlVxXULok17cCE2Ta22QJP0MmoUtTSTxpiGwuiN5PQqQShlOIDXFxTC7LwjxzsNGgwt3E\nlOp1Mk9FATsNlw2rnQmB42mQXkgVVMQyDgVuFqnYIGQ2uQurTi+MIndhLlhO1o4VWI/bFCuNtBB3\nmIeLI7huFVbYz3Bdt2JMkeYzXYqfgvHML/pJ/e7d9T/ZXbd7dx2/enfdnt3Y372njvpuLvRBxiMr\nuNtSAbCxDtkpBX7ERksFlQ5ECk0h9EEl218u1rvd+Vi+RgvwwyNOUunhSExeUF2DUH0SnZCESaAQ\nxi4lMOM0mFs3lMGUQVELT2GrGwYh9IjkA9mZNQGzLWgYG0HeAHkL5LQZn+4U7jWKi7fgbArgJ9f4\nLpBRdo7JYjE/RpFkW77XBf5hbZKtJO+bPKZHFEr+q6aZjmzeBOvLBxT7PYP/O8lXwXpzM8LcYiB7\nEPzok71LnWyiQmRG0LfPmKjLSPY6trKUig+kg6V0GhAJBhG8sZuRkRliNiOKKnrkP7RMJKrZnGUL\npa2+mny1TBq2HbcxabiIHTTbcDCJYu3CZNkgCnZbgbVhBUYPBUmvKFB6cSWm+laQI3AUIIIgqbVY\nmboh3QOnvo+ZfwZM+gzGwWkoFDdc9xHWdj8XFHgBfpWT8IBeALkKH9AoyH4Qqkl2EtV49vlTfnbh\nNThfLoKcnsErlX9WaZV2vYZ2LSfPEzEjeHYc8Oxcxrp8H8QO8z5hlFEjLzumtXQULT2PuMU7IARD\n9gntosWfocUX0eJRNPYayAEUJzvgP+IXHsl61PoeSp8o1WhFN5+01s10u2fWWZXfuFActTUumVlV\n3bG0uXlpR7XbcXwZ/3l1W63VWttWXd3mt1j8bX8u5OdXzewPNvXPdLlm9jfNWlk/fga6LM1NwsXd\nmcXFRf6BFdAbWfyN/llgEsFmpXaYwLkZ0ZNtw8l/F/HAKKmd7HcOISvsNrY5p9GJoO0MLRWI2s3P\nSBuwshSwQ+hsrrKAUM4J1+cWem83wH2M7DTMIr7MCCYqGKlKy0Z8qBdAxALA2kkqZ372aia1avMp\nMFcn/1CZcuTDMZETCT158uFC+cIiumHCCHglaYJ9cAQjOTJkfJJKih00uDOIJygNSGbalyyOYvzY\n5Z9yuWUV1P7H5BAqQE4SR08EeGonJHe5AYlCtlsoA6LdzpYpqGCbFWTkw56WRGcdZRHnUZahkbZL\n6LiZzrFQWXl7GlHxZbDehCJuLdz9+BfS0j+zm/658Zf//T3L955e84eWF1+qmF3xPfZv9bOWwbWV\nsyu/VzmbL/npP7b/tP199h/7uXDhQi4/S6gi37WPf13OI3bJecTEXVzZmogGbMPXugSE0BYGQTpB\nxkA4v+K/oxRjw0Muu4RbFgbsOUAFGb1YioN9RKEKTgcwjmh7H8UxDhf0FEzCGcs4xsm2kjjwnGQQ\nYxkjYTiZsowCpS/nrEumrKPIb7qDQDoNJTyVnQFCEjAHJT3Ca+X8KxlpUA/JNFrRV8FuFXX2OZGe\n5TpDXAkTnSkl7EDVmSqFTemr8AjPqAePwIzXIB4k5R1FpPIdxNhqkJ8U9vX44NprE+OTpeSTkYJe\n+MnDCuLJw8kijyRGX1bCXJWw1ziy75UQWWTjP5yC70MErBIJy36VnCShimxGf5bNsRphY8IkDYJb\n7a49VAuTlZ8fnpJPNe38p+l8F50vLanlh1Mn6tP1Y/XigGSsJ0tX/dT8J3btsdy1z9G1FukQrnUh\n5vgQ8npcM3k59wl1AP+A6gBWcgvFvdKCWcDpQL2aACrXUCGbBCOJBbIbOm/WAky7vIB0Ow81H1QU\nazHLOGJmWwvYGphGyS+2OjblEZ84jRjmuXkI2E/GFvUDAOjKYkUGibFBG1NGcA/b6VF2wmwnrAi6\njWynETs9MnSIs6cxW9EBzFFiXHOYSnzGyKCFMoVQqBpJoZLq5JPrAtIhpKA1hZGElbzSdKuJNWVx\nEzwJ1MRYGM1divyluXPZEErPHZs7ZfWVC9phDq3BAncKxAcRcA3442mwYAqAIXyxA1Cg+kDOgBwD\noUo3vfBu78PU2A8dqg9z4ihIH3AsD5YfxcT4BSbGAegFbcgFPFpxBqEiJ3Oe5RQ8y5HqXvib12AR\n7IU2t7F2ay2CMGov196oZSNjJ5gFFXk6C/IhyK/RA/8AMgo5ZS8izVMgd0FsAbjxQM4gsUrbhoAQ\ngAreo4KCR6Kno5ei16P3ouqB5JHZp2cDwQfJV/rZ7MTTiKc5CnIfRI9om/tICrkDtP6VqNNwMf5J\nPFcgEEpuEv5GNuOPFJzGvDyYrWE+TF2XOlh4tPBMoZiF8jkAEkf3HQDZiz7sAdmLjiR1cz/IKZCT\n6DwkUlJfSRGQk0pPST/CtDtfexXTjqSbH6JvroKM5iSaS+ilX9Tjq8w4iuoGX1ChC2Cd3Ef9QXvA\nH2Cy1Sp01yl0132qWRBB76HP7Oi9Y9j6AsSA3XsoOniUkdTZ6AfRm1H2bnfQgZrZ4GEdo8iuu4Pe\n06D37uZ6bzmKG0S6ETMRvxafItpoH2ZgD5cdnAouMllrUKxVag3GLXUdtTWzZ9hsM2bX1HbUWeLT\n6g1Gf6+8tKmlxRJe0VFdE1vRHH2xquqpzulVBms880KVCgesDM0tnVZoMFxRa89X+GFTWygsVxjk\nucoJH/crTsNZuVlvF6t1qvpYGaL2vMVAZ1levKb45eLXimUEq9HiAva9iq8Ww7AlBhDaZhULSFOb\nkhIbCWWrL4QjvyoO2ktc9iKjw1UU9NRWlhaWGd4pNuVbnSazz+3M90QqzGV5eY/ltZuIXxopADvF\n1RvrXfWiUl8aFv9nCFPv/4e98xBB5vEADVeR9q3KSAHoeeeYkpSSEfNEUvbVaW4yzDR/qsWXfG8a\n2VhGPxT8xlNJuOT74sciqky9qdqvOqw6pVKxyQMsYdLCku+rPmZqWVKlKlWxgfg5Du1Q7YOmNqqi\n0t2AtOSfiW9qSMaEP9gQ/iFhyPkmxsQy4WPG7T2cX/gEUUNOF2P5Vpg3gE+b3GNNsAUc0erZ0Ak4\nzYrSiSKgwmK7Qg5lZ9JSgJTKhMuYcGdiBYNuGYJ5t/uQWzOQvOWecAv0x5q0VKTkDyMgz5eRzkG9\nupVTtIagaNVm8Ed/RtpU/9jw7VyIUlYMThVVOisDleIwfKAISJWWo/2jwgWUDNDDF98jLBdUwwpE\n0MfCZ4JsBCjJIFYDK1iKyzPmufLEYamwhJMFSlQRcmakGIJmKXK2ykNLWTX9MH0OJxAIhoyYmfDT\nJ7uBxaEPFosD0JR3gXwKYkPaGCG/DUu1sG18Con8KtQ0NSq79GBrBchdEKr8c818x4yX0JgtZq85\nbFYNSyuoNhDkLC0UpjYIO69SgVSQdci13uU96MUa4L3sveFl3GUVen0+SBt6eQvIEZB1AKna5Tvo\nw9m+y74bgMldhRyv5WCIr9XCrZuqHa29UHutVjWAo8NSL/70Sk4dvAc2qqu11bLX6vYj1T3lH/Vf\n8F/z4wJkWvf6VyDT+hX/637w/ecxdK+il3rRS/up/DzIVaj9UVhDHCDzQerQUVcReXW19HNEVU72\nkhadRslxFjOyn81rESJIMfNaqJc+kKu5EDL0VlVVayQ8CfU6Ge+u1YY88kwReSsvlo1/+PNSb6G5\nvKAqoGszLAqXN3utRkd18Xc++vJw+5MVL4WfpJjU6M9KAxX5lmJ9lVXf1FJYVldmq6txGV/6lP/q\nXO+qL8NKzKqKi7H5JlBsayFn5uz8Fyg9rkVYUJERBsVsgAlT55YgknZJvuzagh8iheLPAYGNbznQ\nV2t8TJAv4owIbZbQkqRDRih9wFBJ3jJNmNgQKhg0rTdtMm0z7TYdMmnoj6VpaT16ZjNIP+seQKFY\n2aTEenprOn4bU94sBGmzKZfHQ2APyqQkMxImZSF7g0L2BgEQrlCPGTMXippWX5gFlc6GlKTgZw2o\n2HtNDzGW0TglF4zNMZBiM2VllNAPqv+Zs6XiYfdj2pqd5l0bKrm8atkCNeQI3mgdDuyyHLRgcFtQ\nxRyDm+YMXutVkCMg65BWuct60IoTrZetN6w4EWmCyyFUvGajWWAbtV2wXbNhUOfSKF6xKSLcPZje\ndTYbkqVfQyZmyj4KM/w12DOWI7oW+TTSRSTVuLXZgGh3qymknhx2whvCljeAp3/i7b5xz5Rhxn/1\ncvgrX+ngC7Y8NK54LsxXcf8knGVr0atw9mQRPuVVKAl/tjDZz2wMZAFc4fLWZJekFAKRlqsZ5+vM\nVYKcXKAyKA3H+B+IQHZRyQUWK9I2rVIm+Q3+iRrMV1ETSdd18gd4j5DmCrgm7n2p1iTWJzEI4btG\nRo0pFzYnpWvlLCgHY8YOOdbElC0sB4CkhrS0CSiLh0KPwGqx4WZzF8q2M9balBzbICKuIaHLpOC8\nWq+TgULL2V/L+8uHqBicfI0zgPNkrIbGQgTKJj9ovAlgcMA/Qmu+WPkJ0rR2IJMoeb3yHnY+gA0H\nqQgmkrlkU7h2sq5zy1TmQtXuUeHpYkFdbYXH4nAa1c+UeitKSmrnNltiZTNKXI7ZLk9TRZ4ohEW+\nsJlNdX1pSWlJscNZ8LrB7DRbPY5CXdRY6LEbTWWu/K3FVQU1pZZs//4+698izs2NSUZgvfTDsHoC\n60p/lgMoHs7dsMSsl0FfAAg9AX3lEFTnTbksKcJykcHKUoiyGALsqpMAqvJYX+YN5q3Po9iu5AHh\nCIwJZwh7LOdhHoU1nYBb3sllQ1HU9yjs+e/AoLsPBKbd5NGCM5D2oSNlyx8ezd2NfNAH6XK6qFBB\nL1MKaz2ionuLyryWhra2Bou3rKjdVj+rxj2r/v+y9ybgbVVn/vA9V6styZKszZYX2ZYsyUss2Yol\nWzKxvMXOQhYSHCclk/wLZGEZyAwkAdqGYUqWzrSkLc3CAGHakm06g3yjOEthyMyQhbRT3CkJCbhN\nuiQkYWhoSymlwf6f33uvZDsLMDPf9z3P9zxTmp+vjq7OOfe9Z3vPed/fW8D/en38r5hw+Iotieqq\nuKXIZy9rBFdZ4xjOMpUQHPmVWMXeE4r4eiisekxSWVU1KasyuqJdLoJdfCuHpDnsTrpnuRe773c/\n6t7o1i3EVtt/QHs7y2HguaJU0aEi1UKZyEoSirClJkeGeBOgRVcyGLFflv6W4XkDl8E6LEBihm7D\nPAP4rEEwsxJwwgCLYsMruCfPRJtmr0OH/Dmg0G0iBv7CUU/mJgwxxfKND0MBegZAeuRBwIZi8OzL\n1uKV8m3kUbO9EtxglWexm+KXa/ak/7vYSlmJNcXjWFNI/n/lCekf+3/uJ5PX/jqeSZhuln4KFo5f\nAyhI9hYK1gVX5TWARYCzAKEhs2fl5C3NmVHys54oghOeKNJpiOnCqKz0TjrpbzL0GPoMywx8BL4A\n6ayHdAYMR7h0ZEN4KY/ulM5BPD8hGckZzoNcKDKiTCCKqcw9mHKHYFcD0nO9pb9KvCIVlxJdwlNQ\nwlcXry8e5SCvpG/S36p8HjL6JYQ2CPBX0fbnWkjoDf/bEBkFq9+OhL3+w0igEPZhOYOfht8Fm/JW\nSGhnWB5iGoUu8DpQVO8BjIZHsyRIH6AfTNZidaNdquU/jOG6z74M7KT77cewIKIwgB9g+omVdZfB\n3aJsBzbOTsAcfVP5duyZEa/RFuj6u6DKKjEbt0CV3QXH/dO1F3lCemK4M4ywY10Q+wcZyoQ0Qs/w\n2ykA0TFAD86u/oirZlz1YP+jGQCXl/Q8+1LU6yjWaORmgrlRairLOtCnN9fsAC3qZJQfIzd3wAVA\nF7hDYxxYhpFFoUDN+rC7dApBritjkTQxwN4u8mBLLjyztKOsvbgU23KhWWXtZRsndGLfrqLU2VSB\njbsK9lXPnHpyTy/o9HSWzQnjuqiw0zM3AOW1s64i346LtnF7cN/L6oU/Jr2wSGqFmr+Iw4AlVhYL\nx1TYy28Z3cvvGT4rJmift441fXp8u1Y8NsW3G2VQLaNIdxNC17opjuMx/+T4diewEjoP2Av4VwAF\ntTsIqJWD3R2vfbNW/G+FuJOJTcG0nIly14QNmilXR7mTw9tJkz3Y4aAYd8QtIe3H9sp+6HkU606K\n0clVJvHa0HeOa0LfWf8Hoe+Y9Rqi1OFvZOIOPSYyruObhT+DY/AsdMmNZOE/lH6CbYO3/ExS+YkL\nsV8tUyIa+JeGbWTZpfCmZl3uiGsG1pbgRdPmkbmRlq+eNOQ3apWJhyIRkbV/ob3u5pjn4bve/ZLK\neOV9dhAV/jzitkRHFgtXxLOCVbiA8w64pafDeUmYkOQOkY26bLLeiivYreMQuFlgZOSpkR0FDUPE\noWoNpQy0aj4HW3bzSraWbWLbmRzCSqe4HDxPihpgE/GlcCVaJAruFaDg5t9jCQGHrvSA/giaxmR9\nL5Tb53PAEZizNmcT3NBzBnKO5JzMOZ+j5jfk9ObwG87T/G981Qh1cBW2T7qR33msErqh8L2OJziX\nmw0eD1dL8DJdKauvsFrLwp7GjqlTesR/jiy+/a5Jk5Yt/rOJwT+78PADlz5P707P5fQjktN/ZORE\nh0PSWcCjeXLc4ykY5MICxQ4h6QhQQaQpXILEEztE7knwEuCi4gKDS8YGtpXtYqqF6VfZaTSB+RDT\naJQnihc9H8vj3coR6AppK4Q0H6rsbrLofyhnQ87WnF1cGgOv5pzOuZijIj4Dng2e/iIkM2A8At/w\nXhDGDFiOWCClt5H/BX6La5IK+ivcUXF0qR8nkS9dRyAawT/yc1WR+Eu+ynEJNUKrMEdsk7nNCipA\n5Y1QpzMBjwKSGKzvB7Cp5D+sWPRJScD9TBYeSIikXkgQc4US1uhRPHQKMAhYLNJ5XLpAFQRf/lS0\nm17AWhWZrUMPBK9EqsKCZfwIvRyZWS1Vy79CPKKpYOuURuDYNwuBWM/cmlmrzuQda2ZG+yQ7Vzom\noPjQM+G+gRgKJbTJdH9mfymVM0REhEi38WyhhfB763lqvXzZxRVc7LLO7EL8An5LQrb4P4LnPa/M\niHyKE5bC9nIzEt4AyL4OOYLs7aBeIT1E7YF8dg4wtJaLiAuHmFjpPnEZ1s50+LqVXEZGQ8zLJqJH\nAOdpPMxy3MBJgpegkv0k1CvS67Vb+IogvdawiY836XWWzeA9XGfdjCO6Dc6tTnwX2RTBn4mbJuK7\n5s3N+BTfFMctk7ZOAtX5Bu1WZLPBsPXabNY6NyGbr9Q9hZhDa5s30e8nbeI/dAWYy/Zp52af8v3p\niVy77bR5qgsKqj22zN+WIjkGXFHm73DoU2/xFIlvF338VmG1x2r1VBdm/lYmQ0VFIdxCf9n8T7mB\njx3ERUOca4v+65FIpMuwvbzPtAanpSnTIfxJmmaZxLHGrjLjzHi6mX+5mv+MxrFbmVr4F3Y/r0vP\naF2SOZny1aOlp89oL+MtnjFdRpnjaiDNInMoGFeNN8jPFsrimVJ1QiEfK16jsQJaZUjoEGYKt4t7\npFkLePnhOAfSM7fh8JAtiCsDBLkDnUGTNzMMn0PpoNCERe08SG+tkI18Njo6PCqPDtK0zIggPQG1\ntRVwH2CjosAqo8SAoLaoy9Rcd4cSC02M/0JRZ68JyhhGYFbpPR9+5rP4ynw8LU7GOiOgOzRXe6pD\n1TyrjbN4BrMsqU5+cydu7rR0lnXymxdYUlP5zVNx81TP1NBUlHsnyr0zMwAt4i9zUWYAauQfGkcH\noEWZAajRkmodkja2wjCIlxFAGQFLoCyAyJGD+HoCL2YCipngmRCawJNNlOwYTLVaEIyJZ9XNf9mN\nX3Zbusu6+S087VY+4fOxMHUz//nN+PnNnptDN8uOV0sg9PEj1lVDlZSDoXs1Xtjy6w5UU/BCKYIf\nTunSiMMrXme0moK57pOHLENmyJqi0qwY2K09qD3OG+zA8/q9+sPwuXveuNd42MgvducdzDuehwv/\nQf9xP74K7g0eDuKidm/t4Vp8VXew7ngdLiYfnHx8Mr7q2dtzuAcX0/dOPzwdX804OOP4DBWNUMSc\nmjkOumr00XzCd5/0uy9i1GILmqurm/EvWlDVVFbWVFWQ+Tt8z42/+u4Nv5JHsCPV8Xg1/pU1YaRr\nKvM0YbBq8twgnW24wReKj21YnC7W8fFjuqTC+DGi+Ehe14y8lYYJAd597yn3qYcUN1vi+JetJmX2\nfJk5vzHC7v75z1v4/9nNwJ8LCmciyo3QGLJEMiBSGxH5YzlKfrEGMtek5TCYFA2wy5FareQpa+Dl\nkw/USHbRkRRld1kNsb/o5AMb/Mo4BMwb5INpuaPcyuvjUOpG/rxUs5/f08KWPv10y+bNVLcg18uK\nFL1M8+nxLJI41yWVDPEsKAqSopc5QjcIbpH5kAlu8ZmCWRB19oAc0GIs9UMmjgXiDN0onIUcYiIT\nzgJnpWKW8GEKAlookSyaoXwpQSwQtSLd7JviE1dcG4zCek0wisb/fjCKj19jf3698OL8XYRGPmID\n4iBvnxPYc/IM99zoRCuHJzPI5G9PaLdpNTLt/sDL2te0Z/gYorDuG0MDZ4yXjSN8DEmbjR6juKLf\npKbVvJ+PjdiHMfs9fp4KyxQ/toGlVmzwnCm+jA2eJ4q38T/9Raor0n2hzNhOZB/X54lDcylgV6Si\ncjKVKyItClQ3GW4bInMkCsdXYaEwH1Q379hGzyZwLCE9hXOHO7EttQlgB/PNEfdJ93k3NKal7lXu\nde7Nbt48tsOw8XEoxEuyLPAna87XQCcgthsHeBO0AKK5OUzRHlDw24BlKGw94CHAFpx0rC/cgs3C\nZZhBTyF23Qb3VpBGPoyEHZgzl1Wvrl4PfvchFHeq5gIvrnIcOx5vGmqiJ9DqAlmNXO1gtZk1RUFP\noa/aW9A2MdKRM03rbewMBCdHSgp81b6CLJfenKIJAV9VXWkk2VKfE5hU43TVtvPBrKYi0OBD+6gd\nsbA9xLE3gQ2TPTeZ/KUvCyNYfZuxNwV6dn6NOOpZhnZyB5UsWi5TmXJvTFtJ5mQ4cNUZDtwxzeW9\nDLP1mMYSRmN5tHgjGoscP4Eay8wQux45H7WcseR8snlmptEYy0cbjQNnWw4i6cdL25eNPEhBB4mw\ncjNe2uN4aUtcK2FOt2nMCwThp/QIgF7lesB+wFa81Ffdp/FSwakkXUIqfD2knWhOu3FsuwsGvHjR\n2INH0yJLlw2AS/Qxs1soXaTtmQLU1o3ankI7I6LSTajeOjTl11HCYcASwFrAAOA8YPP48unYeDus\na17PNuztaGmrqtehOm8j4QSK3g7A0Die4NCRp1HmZld2pFI3Doy2PVZwo8Y3yoY4p7iWt75QybWt\nr75SHp+e4auhuxRf41tT6pC0EcYVZ9XvwbjifrWsCcvHbUNyOF716JHWYqjzZ3MyjYSchIzyAlGt\nxDCXp9IA/8fqWlq+3tIivvLOO+/IZS8aeYDtpFiCOuGv5WiC14sZSCzEcEwZSGkOaQY1/Es1RUnv\n1/E2+lxONpZglrGYQpUjCGEP68NKb1x0Qv6NpknTo+lDmPEPEX1PrynQBDWqFYhBiH/f7uiYfQfF\nIkRNeT25jHYqMtrCnzKNo0VoIurLathYDFHUdmISkV5QgbBKRQHbidmNJvMXdDxVy2ubhMSeu5HE\ntIrEeBVVMOfsU6GKcK3Xq7DDQJXXwcKzT4dvEIBPryvQBXWqFSyi42LWedmdSu0zgh5f/+e4qAZe\nFl8Tz4iqhf9tgdNLp9c/hnpOPkv9n74E21UvgZ1W2gsTmthp4Yf0HLeDgRQRVfhAda3saRMzDbd2\n6KbkSS0JmsyxDJnWoK7i0CeK2saFuUGW47iyV/KnJb/1NCwWwMYqXsYq5gXxZcUh/3pxL1ElOfgl\nakL+oteI7hMlBrk8IsuDZDHygPBD6js9qM/LIrth0TPHRdu8cQkupYS/xfPewZ/3OXreEGQNV3ox\nOwZIT1Dvzzq4ZkVKbma8r99B/Rz1nMbhVr4WdQnbU65Qv1N2b3RZYMx/CPYcZzC4m2E8AM8e6dHC\ncRSq1/U/pIM1nKVpDXQWdh5T4U+0tF7utzCZvxBbkk1opR9gFNeCZJqMK5vpow2mxJNxT6OyIbsw\n3ZjfxZeTiteeQn5HWztW70wVaxN17sp6T7HDZCr0R33WdtbuSUbm2bzFVm2bpmTCxILhDwX1uLil\nE4V2VSNFLpUDlsqRSrNRTJUApv+1yKXtQ+nF7fcjBoGlnd+WaucVD7cn23kTf49fp9qG5LBDwUFE\nGq8bkmbV8U/NPLWZ/61D6PPUpJA0axJbAa19BLENZrYuasX6opWntfC0Fn7nJEvqpiEpBnPXXtht\nngWEYTG8uAM/6VzUCUaETixPOl/ozOz+/A/CnBZiGzS9JvpElDc0rwVPchYWocloG9YTyRCM5qKW\nVIT/EMEphYglUhZR8TVhs7yf2jKIIEqTiL4GvvE3DG6qUTlU8ib/1cFNodcrFvTXi2yaq3PfMLIp\n+IPSOfpCHA40URDTa4Ob3iCuaRpxTUUloKnG6rg2oClI7saHMU3H8ruh/NwwkOl5QB/Oby+SyxDO\n8jpgntsIOAfoBdyKXa5zgCigG9AFQrlzgCigN4HFEeSXYbuTHSmkGB68RzFl5rqWdcqo74QShhT1\noTCk52JKsenupnlNXHxN8Z54X5w/zgUU2YSCLgCmJD5DQNHsl3zOozWTDgYoDu+nhxJlwanO6nKb\ntdhrXdjy7Iyp7eEvtK28ueVTA4guUeUVu51Feepooi0e1fzzgQM0txaINcIp8SJ4L9gjktGJ9bvs\nBUu80ljgbuQrSJzGa8EZZg0V0C6AtAjqTAjkcJetIzhUNON6m/UFfg1jC7g0pVuLZsKfJFnEe6Zq\nCLYaORRSj85fQKIj9eLUZX6GlCppiuV1583LW5q3Km9dnnYh/2zuNs8zLzWvMq8z43OTrcfWZ1tm\nW21bb6PP9h47ztpX29fb6XNBT0FfwbKC1QXrC+hzIbiSlxXC+oLyK+kumVeytGRVyboSfI6WTi7t\nLV1SivBeWt5K6LSoj2qGk6F5qNk8qllTXk9eX96yvNV566lmTeYec595mXm1ef11axYr7C6cV7i0\ncFXhuuuWjLCo80qXlq4qXcdLtn3CblbaW1joxT+fuchrs1cUmc1FFXabt8gsfqWwoqIQ/+xed16e\n22u3ewvN5kIvrTfKR95nf8PnrnqxWzIjIix5KyEYLLmwgEpWr+YLIjNFh5XN9aRFINQ2W/rLuHJl\ntqTqB1P1ISkJy5BWmHediVCQ8ch9kTWRJyJqZdgkr4/M9EYhJMhUpM6ueIHBPg2H6jhXNciphpBU\nYK9THCoRzkTE/NBfJF7BfpFvSHrfJx/r+LEN+n3olEPCf0KPBI9X0vAQkw/6DjCNfLKX/gF7i8GE\n1bQOWy0P5j2ex/8M5B3hf6RfocmewPi0z3oUrRXBFtOnnBeg7VPIhp8U/BIhG45kwtZK57L60UnA\nG3BM2AnoqcCRIa4uUlzZQA9iBFzCAVYTzCNexy7U24BGuKycphhw4I7hQ+Q+TJCrAafoCvXewnYi\n2vgxdopd4EsfaQNWKAcAYApL42g2+1jSqjw8Q95RPNSr2ILfn9X0aD+D/DUvEbjGWDjSE1CoOFR5\na8UuOKRMwYO8OfoMaRgXw+kKT3EOD3AScAKxISrrG+vFFSwT+NgJw45rSKj9gUAmZo/TxZLmBp+V\nLy/q6jrq2zyR9orowvJm+03V9qDHNrEyaawKFJfUTyqvn+tid5ZU6K1uW3mpwWLoaPDHvJaqhkCZ\nP8dWavd6csx86JpQ7otWWP11sPegdk1+AP9GvD7zFgqCXpDek900RWHSyIPsP8RBwS7MVXkkfye8\npDp5G+/kDZC397OyaXt/Hr/OUcHGULLTH2wmzB1MzQ3RJmOnJTV9MDU9lH5i+rbpIrlPSVWdfuW+\n2sFUbSj9aO3GWhEZpyYOpiaG+hv572ot/TfxW7vpVukRxFd6B7ChGyvDenlLcjbvI7MRGHUbHJqS\n9bPlJUJ/DrsiVcyul23XpTX83fTb4WUsJzlCqdnkMCVVJclot1H+YWMoVW/pb+Lp3RXEKroOBT7Q\nLXcgcofaTFyfmO/ID35n1lP7EjYyDsIg+yAmvFdghQSzJGkTYB1gB+Aoeedga2AfIIo5cQlgAABi\nivS64Gb46dA2AbZJRXlzYOD5ur11h+v4gnFLZCfOOk9FLuDPgcirCMW9C4ukJqwDd7bvx8JwPoJT\n3YUT3j9N5rAcJ94HAKdm4AqwG3B8Bjx+Zh6YyX9zeiZP2DULTXYOKgvQz+XNOzgXK+WlEMG3III7\n8PTk0v8t/ahBzEEIYT+EsB3PehJmWevKN8Ms6ygJBA9/hMNA1DfZ1+tDWEVfRgD7AFsyZvbSBsDz\nkMFAzRGKLE3RrEFXcgEj6G6EIT8eeRPP/ndI+D7gTkiBREGPPxXy2N1+EPJIIGEp5PEB5LEMorgI\nODgVLhQzTs7gwtwxY98MGJRBDgOAHYDtkMg5COMI4A2ACmKxAyo52OCJUyq6MiYLgVidalwX1+qu\n39FlY4/R7v7zkgkOj8/SbnI7TNaiCmvzFo21yOfyVrv0oYo/r46FA36Pp7HT13F3Qbt1SrW9qsLh\nL9sQiCQm5BYVWErCrd6OBWb2VWOwzOFx5evKNPmuYrOz3G3Tuw/lOm0mZ2mpvrLK2uRsm1iXdLib\naqpvqrI1JcpCwdyCQImnytJhaw03JO06W3GgKJAI2mMBrG/auJ55guuC4GB7ERxsijGOHLjENbpz\n/YJW3rO+rB3RGhbK/HCfKZoJDkhMXHM1HTIN8mVxvxEEN5Z+M9dcX8CEowQKuaxwtfExIC80ntWB\nr4zyLBQjBNqtqcnUY+ozQbvFcltvKjAFTVx/HkfTFoscz+ykTYZS/R1lx+zjF5W9hiiHN8n/aV9G\n3yclu5+pwFQvxTH9vAYAAYq0FYBIVZn9E67kqkPpVvVMdUY1IqKrqx2iyK6KgckCIw2ZR+oxX0eJ\nfnPUZInP0WBdlLRYXkG54V+Ka0VZw8GXGaJ66Q/QY/QqtoIxL8hb2JvDv5zNvMM72HfFxz7+kvhY\n+2gMTYpTXct+IJUEsG4dwwCRhFfho4DnruaCIBqIN2H4SNaP20cJIWaho24cRwhBHBCZhyZ2CDot\nGscGgWhsChuEndggpPPI+BW7PPz2UvQjsjDKMi0QycIxABGQn8J8/SGgAAvuHMAHhZmVx2GYLR+G\n9+x5wBuAw9CO3gD8AYDY59IpjEgfAo4DSG06DtiPEelVwMUsUzi2lgderTpddbEKZMvVfKFxtPaN\nWhxZ3Iq69mVDXRzNslWczPjppLVOJ9gqfl+oLCvSpzwXcHx1CpUhb3DyAP8I1TqdDb5+AZU5TUNm\nhp5C3mLeh33uN6rerhKvCbsec40NeCFH/rNFVn8mJojXFAKICoUQ4jpEECzG+4pm5NfsXvGkoBL+\nVfHPuIKGbBy1mhJEUmCkK9Cvjapirn5fvfs1jhqNJQvBOtorLBFWCmuFTcJ2YUA4IpwUzgtG3vQz\nrKS9oBI0gZ62ly1h6C1aPpKzfTBbewPdZQu2AYJik9gjqviaF9HE5XN93mWoXcEoI92tmscrlN6p\n2q+SjX5a4yzUnG8TT9jJPhYd5p9Ufyn62WOKT/sZ4QWhWXoBFtqHALPA+oKABWnEIUQjoO8WGaDe\nGUZg274ICa0G2XqWCXN5nlV8jeVhd+1hav1ofKKz2ahEENhZTLKz9Iv14kIlQohMqJiNE2Ifkhaj\nCyTt8s9KFfdLYk8yjt09g0ZRqgYPRao0JIceIoUCNhqMWCNKiVTJYVUrayWrpb9AJr5ZD7s14jm9\nBKqsw7YT8HA5j1n/DxTJBVU4AnDBYe0Cri5iOfAWYCfa/YNo5ofdJ3Bg83t0Sw1ObZwIjTHPvdQN\nma1DKedRyjrAryhnwO8BGhwyHrGBidc+aD9r593OhsIoisz5bDlbAQc4DPS5l7lXu/ltFISjgJfE\nvNaIo7wxIscwkefdMUFMdu/8ePjWJYsX28O3TKqdXRqyN3nroiX6nWzm8LstLczWMi/c2xYoLou4\niv3NycLZFGeKj6OTxD7BLZzewzQ2dc1ogKnMGx0TZwqmmJJFIJNLaHDb0Cjew9MJNvzAthhyPaR4\nDtkpIIqTXk/hoLQmE8xcID+gzG5bRm0kJhFMKYVyhBOTpV8nM2XZBrG55hykyEeWPgQNXg3VZzlg\nA2C+ha/yBqK5k3N7wdONm5ZZ+IITbLciAlDRqIKwvDSGkPwiXGLxdbn5hWarz6yqnGirqnDefnv7\nOrZl+D/d5fm6XP1N1tzicIAFWr78ZdlefKRYTIjvk13Ccq7zpl+oe7kO3HBD1zUaHzUVh13CGH+8\n64a1IbsE/WeyF1fMES7VsDH24LJt9hTALsB27Pptxq6fbBMubcKIvoM2u7JRHaZmQzvsgj68v+BY\nAXTm0iNwoSJKnyMYwrHiTx+rPoWDv4MZw2/pVTpz3IyZu4m8gshYklyDUPZTKHuLfiesIDabdkB5\n3YGSyHx8B4qDu55ifC4bO+yvPoYiTlcruZMB/LUG5tZPNDB313fVZAzMneHQBPunGD+I9cMbSgNO\n/TgL8x+hb/h533ibj3Ex8XapLKiqgX80he3p1/Ilxn0Kw8dC4uuAZxz5IWH9J8WCZRiDYiHJHaOr\noKW/ii+syiz99WplaWHh79iSGeHIeRojHLNUyvZ6KYuFtEGjnGAMga8xyhNyo3zQoKiCbkY8GFWV\nYOVJVYWkxXweRcCsWvkM4QQcdrXYy3odqg8ZbDuxofU2rh5E34VXU3pr3i5sJ2hwxrAUb8fBO/PA\nEttK21qbSj5sSC+xr8Re/0+gI96KnQWdy+XiSwAKV+XikD5Rcq6Ev+rekiWgwDiBl7oSgJAL0o+z\njBjnAVrsPCDqgrSK4i+gka0CXMDh/kVspbwFOAatSQ+Sx1dh6XMMmtIxMDh8OBFt7xQeUI8HfAMP\neAGPdRrgxlOuxgNuwANuztuBB1ySOTpJr7Ktw0BVgCF5Nfxh9K4CPM18PN4QoADPlQMYgp31CSwl\n5wH6UOHVgOWA04AcPE4f6r8asBxwkQCPcyqQeaYjeBwdHucoHuc4Hof4Oz7iYItkwkmM93p2jYae\nGBvty/vDSk9zdWHXpAmdztay29uqpzaV28prC1SlDT67b9ItdTMeKJme350sjVa5ShvavB72ZJ6n\nwdvcGvSXNccKQl21JRMR0VhbHm4pr58+sahzmitSb6+c6AnGKszkD107clblVPyhk0KnyphqC0l6\nEABW1fPekPNprtCgLh4kJ0bM9Gqa77VDSB7jD01ESRZsTKaq5H3IikH47duG5InlBWyQtML0uz7j\nEFbIC8LKM1lfJW+bINg3V2eT9JHf1jCEfOI8hzhIEtpSbXyUbsPhk3QZyvRrgMWAJM6cOobwZeeQ\ntGZyZpzOhtsa6/t2td80+a0lyW9a/1n9pkvoUOs+NIQzAEsJ7YFaQgMzLYss92HSMls8Fq5WlhBD\nKihRpcK6EgrmgkEBp16tCN5baWlF+a9iPd0g59IQwglZ49CAudHTGGpUUSbtg6l2WnB1DqY6yail\nsYx378llvWVLynj39iPm8FyEQT1HvHIAJ0VFBZxEu+0F28DbuOoGucB56oY4fDkNuAQ4hvO1Juxf\nrAbsByxvw+DStqsNPtttp9sutsGPog3O3ZD9euxx7G8/hj2O5bje2r6rHbuQ7ReVbaAVUi9O7NZ2\nkHN3x5GOkx3nO+Dc3YHq4atVgB10Uyfd1Hmk82Tn+U7chLO97s55OOfb0YnhAk+a7i6bB8+7GK5P\neS/A0K4ADzqfJIBnpEeeh0c+GRz7yANHmk42nW9SyQ873kO8UgkJM7bvakcjll/VdW1wJH921JH8\n4/6CqkSVp6TSHnInq4vClY6Qt67eVdVYGplmixhrq80lBeacgurykuh4X/P7KyoLKmxF5f4Sc3GV\n29toEPXNgZI6j6VqQmlpmdFWaDIWuczDJaO+6BWsiHXzOa2e3Su54VpyFotLC9ayKcVSmy+3bKGM\nSbf0Aga41grZBYRWfRlTbqm+gjjj6kOSs56uKkAugiy4Mg2eqzTOCUT55OCq6GYe3gmwvjgDYHke\nedKTY9GsGJDDAKjg9gPzkzIcxeTKN+ViIkyFh2R3PCcLUyfAotnroU7oDcEd2s87gd/jD/llX+hK\nayNOJWW6GpXC6HEyw+OR1tlddj78v42hfh4G/RMYX96G0noK49OlKrSfydjOCVhjsCA8RbOGvQA/\n+yPyIcIBygBRmdMnqs6BdpFIil6to9H9v9BAHrtxe7BPHNsexMLyiiLvp7YAmVv3pJhkbvF7Qolw\nSTILfAQ3w6lHpuETvpCy42gPjzILuph76Npjb3s2bM6A2eAxhAw8TaPElMWXJXx8C9EulmySsgxG\nKQ+RU0yTukfdp16mVisu529TSBUcAs/LX5q/Kl/D74nZum3zbEttapDZ4qR2ngrM7PSVuls9T70U\nPz+a+fkAwnufxwH26nwU0Zw/JX9+/vJ8NYpTDuPUC1XEQEpuqNFYRA4T6Kf3UK0yOT2u/Mr8/Aqz\ny6Gp4R/LnPyjtcLCP4pJm78kPy9Hb/bY7JUl+WZ9Tp7HJusBLKiCbUme4GTbUvkhSa0BFakSbZer\nSSFsgW0kWwjF8oyUqkfhm6iBFizNhNXGNkBZDtemFF9/RasyykTnTJknFaJwaQ2WLwiqKc0CMXH+\nKI+jmeLGclU6hNe3puAa9g/rEGzDNYOw53aQC52YC0164Lj4pngJJgbwdEo7xEp4D2qV77Rvai/B\nccWhrdTy5IcheKP8Xdw41bjAqFqRThinwQ/uTzAWMBiLjDU8UXoYxgLfMcokEQ6q2Xt2mDzYLfYy\nO280FrKuMjyv2qs6rDqhOoeoVRQ2bx2gFxPoETW4bDFhoAm+qjmtuajBq0YUEdkfKmmQPRVQS/77\n+Ub0UURvTb9u/BUqhRRYSqu8FPgzYiMmD0QALVc91yL+TeBvxJaFf/VXCz7+zeMt69kUFmQLhrfT\nv6eHX2Et0eGn2JIo/Ex55/ktHzPL2FelQnAvLabVR8bcBwqrXk27ptbBlDVE72TAbPVYQ1bVin4L\nbaj2e1RXpD956G6ZNEMYPSy9egMJ4WtBlPQ+0X7aidHjACTzvoqsaPpNXA+wUDpfOUil8h25sLt5\nGEvu7wOIAeMpAALLY95HjARpOdE2QIqIKsVf6ztI6KOlMxbMR7O7JG/mX4IdxDKswuiUaBVG2T8A\nKkG8shbrZOKOjOLjKlytxADYDObIquLmYvipH0b25wDbAUsBy1DafMBFApT7JuA4CgfttrQEBb5B\nmyfOTNEoK73KtQ5GtmB1KS9vZPKxxTVMQeXst3yadFvK3BaHv6E4Ot0w3fyXt9TcnPAWBiNFZ9gD\nc5jH4gvWFpTUlVlbIvqZC1x1XXVVnS1R90+VebKc5slSdpfMt/UCOU7iGc+Ca+ezUW7NwuzWiv3Q\n+8oynZJCQSu2htdjx3o+G7QzhsCtMkUWefdKGqT+SpQ7/41JsTJEiOmt6l0wg72E934RGtIlizLj\nSYux4WSH5//vcaXB1eTMTlQaNFbiGBorhRAKnF2SX2Hv4jXJ8kPtHM8PVQijjrdR1nlo/KP0WR/g\nisJGUlkghkrm6BwuR8ARc6hXsE+gfmLdN+Z7YuU3InmSY5lwPR6c7x7hB1KRCe60RUR+2++WObhf\nGMPBncLLGgSMQG/dWD5u5ZLZrMkyKY3ttZKK2JOkl7An+wPVW4jhcUlFIVz67SIOhbj+gsXI1NwF\nueKK9FTDAgMX8iraFIHxjOIPsg7tvw9dqo+vKYQ02PXQArBlsip/HW7B9km53y9zuvsp3IuybS6z\nvbOnxhBsG0vqKxWK7SzBNqsa/jjQUuUgiu3hb9ri7pERWU50rn5C2ScGH3Je+v6yR7FkTpYxiqtz\nzX2fo/sK0ovK7uP3Ddzve9S30YfgX4j6oHCdyr85mP3NHfSboPQCF/XAa2Vnyi5DFyHquRdgbGJu\n4DrKaw1nGi43qMbnMVruGspDJy2qyHA6IC7zX7P3R/ZynbUI7v2aEE3Jg5h2GbaWQ2Tj6Sh3lLP3\nh43TGmgPlMPrvH3omGaPoGbqGmXXPweNHCqt7EOHNj8gx43jwzosU9WMepxAi1S42w/IUfl4ZyS/\nci3gvYzt9Gs4VwkD7sfETyT6tA54AhDCxxSuLDkZ29pxXgvZZqYWiGQf8cmko7B2364egDn3CfU5\ntagEXaStUqEPvPqyu7NqxWjEsz/A6gQRonkjRHQz/kenduEPFlniinKvKmLj/zHn1H+e+S3xW9PY\n68Mr2VcERVbiK1xWZvbkHr7s4bJS0SLSPCTdj8F7FlwQzprBusAfmeVRVbdj9UMcApsBJwC/Umzx\n+WJIoyZjhjcxdLwD0+etml0wfV6tWa/BuQFXzCG1RZnYjDDjRqcCAbNBRWulPAs8RGT+7EF0KMzB\n0hOKodpC6WVAK0zWnsOVBVdy4KxrKPUz+9ASM9G0+jqkNZ8tx1b4g7A3lqPW8Nb6CyaTWKsGJY18\n73fxCA/iEeZrloOPZS1tvAEoZNEvKMgMMVvzNZhRIHagJViyDBn/k2LN43qisdMo09lSeIJ5ZJIG\nEhcKOhiEGIib8BQmzzewiRLAhkSAi95mi8j/qWjVo7rtHvGLnV8U75nx5NQviF+Y+iR/k19mX6B/\ntezR4Uf5m2TUcX7BrwziT2UPHqxf008I22BtdQbL2FmCTLjAV7J78fLuA/wQQOGeLHAoFoeSprCY\nFGeJi0XEctKuSJoR0ek5MRPPScfnTkz/r+FZZsH15zktnH9UY8M7aIbS0Db4wLgAMYkOao6jDaiH\nMiSdK5KG0VBgmoWye2T6rO49GHQKENAcwJtYrCZ1oDrMBIJTLxxAyK/FOkTCGUqaERQHca3kkDm6\nhUlTq17mIkPAHO0KJRaO1JyjCFx2rpRm4rAMSpBk5lcDLxheNrxmUC3McG8tlG7DsdkJwzkDkX4k\nTRtzn8tN5crBQ7V8wpuVuzj3/txHER8SjkeSBTy6IcATeJm0LYZYQRnncATMGHPcmGmoFC0IDTUn\nFwFUpd9j8IgCenIQQybnIiKJxVB7J6ALX6lxpRLB8SzHlqoCgCw5jbU473URVQesi+VQHrIpgKRV\n5ZDujWM2tEsX2mUfbPJOCRfQSpqIjQgNwo8GgUhaA7IGp5KDmkpVcBt4A68f/EhSAQAOIFIVXteU\nbISOPjTvD2HP3pPTByISP8Q9GfAHyPzDXCxHTqLsVcI6lP02WigqI92KZ6HYCyexwF2lXQc+JkhD\nWpCDKJsRVywCS1ud9192L3jsC7d855UFz2ye+9GbL7zw5kf//u8Y3ywjFnaC94V8MYklHW/wa9Dn\nt7EX2Mvo84vwjPdm2UT4OEgDXNZ9u4/iZ+JqX9bD+wTgV4LiWGO2IEyUtAUrAzPGv/QTOdvwpkZo\n8Jcz7IMT1y4K4AP4KBtio4micljkEzmu/1EM8UuAKwAjBrZ1GWNHaRaH/nw+EDdhb/81rL7uA0Ab\nG7MazbQoohREKDpBm49aoM7S3vHPcSfgAcA3BHkhynVKraXfKF6RT+V+byFtY2C/cEw4hdC41Dam\n4BcXs27tH2JWpfmVGqEOAFd0ya7mTXev+jAmtL2aw5gGTmrOYyh1ogF9iCPWXbCBbLL04CCQgo9c\nyJ4GHgCcBvwRkANpLcBVDwRDUsjJh0XYL1CV1wGHAT2AQpwknNJkFstFxO6VJwudKy2AUwA9cp2S\nLWRB9jUdB3wfANrYGB+FZWrnGG0+xFSRD56YdcnRdpPZY9Y5SrxBc8WhObPZX38sRZOiJmmoDS5g\nb/J1DrVBWuf8TI6x+BBWOa02WuVkvz+Y/f4O/v1UPizaXra9Zjtju2zj2jDuTntsIRvvQUmoURww\ndFa+XPla5ZnKy5W4B5RynspQJe6pZATyQoqNDPN5vk58RShglj2W0Vi+g3K0JOg+96Evi/K4zVMK\nhmgelCknFVerxTQdk8gEixJ7IndI5gtczKE/h99kyKWgEltxUINIxOJCOURFyjQo5VlylZ/ZlOAP\nY8KhG6+2N7baKa6ZNYRFvVFnV87NTEMgejDCN13SU2r6cf23cCQKPWXgsP6E/pxetTD9Hf0emCno\nyI/eSsTDdOYs7aMh5wRGp/McYo0Bb2NEhe0EFcJMZPzZG3+re/oL/37rv/3brT985Gndd77T850z\nNxujrHf4e2zu8O6o8eborl0wyxJcHL7Jx5gcdk4SsHV0H5rbZQB8nSQPb3jyglX6BgYZiqb4AOBO\nrEVgLSIq9lSIZ5u2Mx+WchHWwf9ItyDp71k/bIozgXIhO5nsAu9uUMoFRV2Rtobr/+kW7XRsAyxE\n0j9p/5mPmAOyHRzvus/gHd8D+FvAIxhVp2jnY1QFtRwqyVczulAaUxxoTPBm4eojhQGHAPcDzmDo\nfgJwnyEz9IyLbpt14NbLx/78DX4HY/yXhScxxr8P32G1YBd8fCUrD0m9gJWAc4BXAD8B3I57I0KH\nMAccoypLv8jz4++eokj+ADCELaUWzXTNbRrVijQimfNh5h3Nn/ifAYOmSFMDptWHcOcUjbx1gkUg\n8XDBso0vtSBjZQVdoA1CjD3aPojxdJZx75IWrcalgSUbVzcayZhtw/CvWTFffuUPX2F3sO8Ob2kJ\ns2UtvE9Tm6A+/4txNs25ik2zf+R9UUuxjwJsZcobklq9vP9o1FfgasQX33zeQMx3c9I8y7zYfL/5\nUbN2ITko9RdmDpzHbTVlQrVQUBN2heKZyKfG7ytPSZsQimXeOvI9QgdYB8BKIx3NmYxZ6yO81B4s\nY5oBGwAfAXqydmMfkd8aBqGPyGsaOwwgy+ZS0zgdTv5nu3MAJEaaYkcxPhUPgM+RfG+W4MxVi/AA\nfdhLyQE/wq6yA2AozC1zl/G7d/kPgMGxEKpjLgKK9AWWwZg9J1CIuCKI7rWQIlpDi6MIYLK/nBRF\nLbuzVV0P/brXsQQE1X0oehmKno+QPr2BJTxHNsYIgWxlx5mlTRKZM95RkZNT0RHP/J3+ZxPz8yf+\n2XTlr/i1Sbctq65edtukzN/2yff8VSLxV/dMzvwlHculvOsw+/dUZUh6lI/K/bkqtOH0Ws0mLIdz\nSeeSuaUtg9JKDLFLER34pOU8ZsVbLdhYedzyLcvzlr0WNYwCQBpN21cbOZCBO6jTB9Pf8jzvEemG\nsiF43fGLanJwDA+mwsomJdmmZFqOm39wk3vHBLfs3pGawJc07IqkkRO4zs1Vtvdg+SXoLfAnM8lf\nmELSIqxtKQQmIiEh5NF7FuxhWSyWMgvvrW5Lvw2GLu4J+IEzlD7kHHTKM4KH1KYKOkUOkEJfTaPz\nKujBWwAxLHmex7uksDHnAX/gT5s0wVgh4Iq5ul3zXHxhfw67lLfiwCZGERYBsKYZWBVeF94cxtbF\nQ8gwigw3WTN5YddF+hNlaHAVuWpcCdc01+eQYV8mr/TukoMwf4A/vHRnmCesDK8Fm+hmfk3eE7py\nXTn8fFwRnVc+lFACIwS8sQiMqmP8LwVbdLHfuLqqN/lYkXX4XRVj7+WfMs/pCXZaQ8W3R6Ozm336\nafZ6xlRd9ubCr/6f6nmF4l1W50CTL5hXlBeb9/nKooq6Wl/bgmgsr8Ts9zZ9aVWBRT4H+kD8UNir\nWi+ohDvw9hjCZbON7Dkme9+eRSRW8khOGkYDb/P1gllFY4wqqZqlWqy6X/WoimszBgSTl1M0UAKF\nL/CxvAAUjHSWx0cvVcTlzf3cHQnV+o3yHk2Cl/8RlT8XtslmbHPCpZscdMdGAc+GBv+EcOBKgEiR\nlyd6RJQHT+OViTs+J34olzfyS/FDZuLlaYXHJC3mW8Qjh+IoDMkEJjkZE281HdZczhzWSKKGljca\nYri6TAHhM/TcamLGQuhD+Yll4h5G5/xch8WZmSgHLZbux0JSVGkoDAaD9hGLMFP7nDnt984SP7zn\nno3j6riG4l5KazCVPcqyrFyXiddpkXifuEZ8QhwtfcwmFF+UQb/mj6OVaTbUFNkWCwteR4Y6MpnQ\nC3VNm1UebFHej7W3mpG2p6Fw6KQmPTfrXtSQC/Ee8Fr2igbhLTnu2R6Visn7Ppqh6/iAQ/xPNE/q\nFg0HcObIb3ar7vvfM8fPcuaoUt3ozHHkHJejQbVcMPCVwkKsagWM/0mb/KI3auWdlEHtWW0OH3a1\nFjgvGLGGTQv5lnxxBb8z//78R/M35j+Xn8o/lD+YfzY/B83CwTuPGWt3HNTl4P2PofEIjLl+vtjl\nKsa/Q5kLVdTu8djH/EP8VpVLGFHd/InxW1Wu6H811uvIOXGYP/9jgklwCnt0DBuPOoUkC/GkeAOQ\nVa2ILHRmUM+eNGm2ulYX9/vjOtVjrV1drQH+P9nn9VfCKdW3/9fn9f+XPq+qjhv7vIojx/g4Oovm\nFp3w7ZQ2RGM9kQ2l4eMjwkwtfVZ8T6G6yEwwY2edT5hs5A3Kgfs0azRPaOhXmpmaRZr7NPxXaoWq\njf9Kl9lyHNSd1dEUpcaUqHCkyL5FCHYuD5Ya/u+HfL4a3pO4E5PWRj4fCF3isPAPqjt4G22gPdkB\nkCi9LKhGGZSUXj4g93oVSsnJ9J4x3bYr21vrM71U5k52C3tHfnL98Zz2w/UKxQhoNZbz8fz8Afxu\nsThROCe+y39n38NUKvmsBDGXBZG4K/mq5nsY/N89IHPkmDl8XTzG79cK5WNCJl9z5K1BJ46wCF/Q\nlJtZ4VTmGf7+L9hR8djHTeLjHx/4fzYvJoR4Xv8o/lioF97YY9F41DV7nJpCjiGNwLFKo1XXpGFY\nIC5MFuVoC7U4LIfmu1z7kBbmB7u0B7Svak38W63FafFbopbJll7LEstKy1rLJst2CziBEQrLco6v\nx2GQ5BqETWKYMKLI2ccr7LsmZNJYipCUz9JvEK+kTxsuGlAVvaHAEDRkWPZXG9Ybthh2GvYbjhlM\nGK/g75AK8YU7b1rljZmzcVltcTlg9Z5x2FPOVR0RB5MmdIVcgc7bGhtv6wy4Ql0T/nQ4NCXijvQ9\n0Nb2l/Mi7oYp4cN79VWTZkyILmjzVbYtaKydOalatzd+iyk6pS/ccf/sCRNm398enj8larol/r+y\n/X9Vtv8bv/y/Hr+8bOQjMZ/LrFD4CsyHi2Bc3K/nMnIrhHMQmCwOM39O8zV7Ulk6H3wwW/pz4J4y\niDWodVAOTtvvFK8kixDEOeCMObud85xLnauc65ybnTuc+5xHnby5nnSeB9lAgcpMekClNuOLIlsk\nObz0wDGHmG8tyS8pN/P5ZzL79XRDkd1p0OfYyqtdrHp4KduaSAy/5izLzcQwGPkt28b7WrlQI/w8\nVRtCLIJaouHkarjsimIbgpemiz9vNl6PzdJfobmSfrPiUgV1worCiqqK5oopFfMrllc8VLGhAgwB\nByperTCRpUtwUKrS2KyZmL/jPBdo7U9kRiL2cfuLSRDFruJAcay4u3he8dLiVcXrijcX7yjeV3y0\nGIIoPl9MKj1ifqZPV16spN5XWVAZrGyq7Knsq1xWubpyfeWWyp2V+yuPVZoWSlWUN4QGc4dGnTcQ\ns8r+T2RFqXj3RFwqeUXhiEbZtkR3rCcuunvt3lBReNK8uXlOt8k+wSUWTCt1ufxN8apYa9tfTKqc\ny1TVbRNcnS1Tn+3d5K6w6fPtXtHrDzW1/Kztr2UZ145cFutFl1AkVAgFUnEF12IqsPZUmFg9FTTz\nOa4iu5MHgkAjdH7HM4ne1tv8XlcolgwkFnX6fJ2LEvFFnf4VrXPntjDV3kRzq8MXKTfXTLsjHr9z\nak3VlDtv8n29peXriHtTJSwTX2RfEwJCTJgibE5NDaWmkQIw1SJHa0b/D+J9Bi8F6X0GC4NVwebg\nlOD84PIgoo1uDe4KHgi+GjSR+Vi7hr8jbbuz3d8ebZ/c3tu+pH1l+9r2Te3b2wfaj7RjbG0/1y4u\nFPY0iho+ZHvFGj7Ra8jOyauE80rVWFI3DaZuIv7kLj4mVma8ca4iJpV9dXRy/HddKf8Urcz6mKOH\niy/afRPLSibW1dic1RMipWWRSrvNFykraQzV2O1VSJnotzdXVzmqAl6zxRuocvmrh4+bfVXVDlup\n3VAbtFcHvVc80aDL5vHb8v0euzPQ6IHjg6M8YLMFyx3OQLTCH7UVl5vySt2WhkqTp9hmLizL9zdY\n3R45DtbI+3yB8GMu42amTsVDqQRJOE6m+7kkYQck7LjkIAk7Ch1VjmbHFMd8x3LHQ44Njq2OXY4D\njlcdXMJ8RMjnnc/SHyY5h51hfzganhzuDS8JYztoU3h7eCB8JAw5h8+FeV8gJRYKWHAwFQwJ/N+1\nFKfkf8072h4z3oaUryGaynLig0ifdl90Uy9yF7iD7iZ3j1v2Hlzv3uLe6d7vPuY2Ybe+v5F6Z6Or\nMdAYa+xunNe4tHFV47rGzY07Gvc1Hm1E72w830jGB+MW5E7XxKvsstQZx8OMW9ZRS3h+T2hqpMjd\n0FNX3+th1qquid6I21c2uSY8NVrpzO0qmhWuiHitVm+koibus7C7Y3+9YnrlpNm1NTPiFXV+k9tU\nveiWqNteU1zqiXbPmvMFX8xdG/eUttSXhnvm0Fh+50gN26TKFxoEB19b+NU1wp4y0cHbaJ2oV9eg\n2jSsomZOp8MqG1eT1zyNEdGJjXzk8Mttkm1yWPK4tq0z5ulUjInOhrAjYMsz8SStKU/DRJWhaILX\nUOgwiWetVqPZ5A7U1ZRphvVl829pdhbm5RvzjBOaI1oHu+xqaW0Jl2iMNuiqH45Usw94HfXYwdcJ\nGB00XpUuELPZIszX/t26gjuefan1JJvLCxxOq57EcxWOVIvt/DcGwUFcd/rQnhwRyyWNqMVzuRoZ\na4TVEit3FLIpw4dF8/Bk1ji8n50+GWOH2IGmScM3D0++CXl187z+iuelE7w8H64VcK2ECPX0il8/\nDqCFPVqRIWeNtZzPQOVWsXV4arsYP6nafaVXdeFKQYbj8qfst+I7gkbIEUKSBpaQWpEmeT39kSOq\nCDBK4t8IavqG/tBD2yI2lcpmY92tu3a1/sPx9es3eNk6tm74IdY1/P3h77Mu+BlRQeKP+Ejn5f2v\nRmgYncf8gyl/qN+pvoKJrHKov1jFK65iPi6YShFrSrX8ELHGiCMQmBiLRmNYmY3a2dMEwf9zuPgj\nMv7vZ02NoknntFrsueoJHs8EbYNuajQ6udDPJ+SXh+9gPxoWHuzoeNDaVGgqsZpdNmuOr742ou9p\n624pa/SW2+wT94vLP94sPv1xA68ytclbRi6IPaJGsAm9kk3N5aBTY7KEtqcflEzyBxv2rCRr9oOD\nr1ONoT1Wesm5oo4PsGRKhA0DPnvLQSN1GHL50MrbjhzivjzmUsLbs6rpEyd9a2/nH5n75omtTx3s\nGlm9sejBlsdavlm8iiNE2i3ME+eybwilwk3C7XvyNGZ1jRJKz2xJ1Q0Ke5pFCNIuGjhGxGqOboz3\nROZHHPnXbLSlIrQR7wnxxbMckw8pLYOpFuzBjd3p8o7bA3Pc+CtxrspaWlNaNs1f2VVUEdRM4B9r\nS8unVPq7Snw+XQ19LJtWqXyrtpTgW3/l5BKvT1fLvuFu8LtceXnOeo+7IVDgzMtz1ZXt5pfZxKCS\nSM3sFkHL35Wfa5C5gl/S6Plcrs8YCIqEuYTGIWGPHm+Fz+yNlQ6NxqHh3e8W9sHwQvad4Vz2AQu2\nvdT2zN+1LUkkrs53gpSTzVcS9WQ6o6d3m0PvNmdc9rHGyspGjYNR9t8dvo0XwbO/p+3vnuEFDP8M\n2fMxZf7IWTaTfPFyBHiHIqijl7nYDnIIGvXv+f88HkWWX+BmmV+AjzrvCmfG8A48lk2/jHQuK2Ek\nIL4oviKU8f4+g8JEY36z8fnNlpnsyNr2upoI+TRgGqxgZkyDKhvFu6Q/fMjJBJnmA0E0FijXeVmE\nedH/5V0mVq4SX8yGnLYYjTOGN82YyyZOZhO95fl2Cj89bGeRraMxqC3GnIMHxVc+bikvLKZY1GwD\ne0CJO/ZrcYdqPX/rufR8b7Pm66ZfYN7rpl9khWPS78im/5aVU3ovF9Zeut8o3y+cJfmZkM7lZxHK\n2VekonJogTBWXlMus1iDAOWQYuKsVRG7rInMJ/LAjA67hnIKLLsIrn7bAIJ3XNC/zFso4x/KsKHC\n2BVowAZ2RTI5y+SzvH6LCC0Th3J2OogrVLEVclSyFdJTOJl4C/A9QFP2jO6AWjG0UVgoFQ9x6QCO\nZclufJ9iwbZQ2gp4C/A9AMWBJTcrCtjqB+cqRQ1cB02zF8rteYAfp8XrcNULj4h9UHgPeck5BHWZ\nnA2A0YW6bAI0oXSKAjUVsDtLvjoVQFGfDqD0uSh9CnmJoWDyXO8GfI6XFBv134J9sZeP2Nasm7r3\n2b+dvWqm3z9z1ey/ZeLwcM+UKe+0P353e/vdj7e/014/e2kstnR2/W+44hKpnf943/wvz6+lNrCY\nv2svtQGT0gZ+MCb95mz6u8KxMemPZdMvC8fHpN+RTf+t8B80XizmfbGTt6VKYd6eAjVmiAIY22R7\n5Thdb1yvzJwD73EwJ/8ZV+fyGTEfFfA/hYNSpcpynS5Zbi130H/875h+KXaO6ZSG4TVs3/DX2bzh\nXewRS6ZbjumRhlzxlfbftA//rj3TJ7P96B9JVnal35WPSX8sm36ZVYxJvyOb/lsWUtLd4j+KJ7Pp\nv2OerAz/gvJ3yPlzKaI/UjqXITimHuQSgwWSRZlC+xlfu2BKH+pXqzNcJTm0E2yk67zBqziIx/Nq\nZ6zyMlLPGH3uUYkmPl8bGa16bQotCJZymEgW97DHenqGv9TDjg9/SXzl+ec/bmEzh/vZ12+5ZWRk\n5Jf8xQdU9/HncPL6a4V3TBRHceQKT8+lNiWnv2uQ4yvewv/sJznJ6b81yese20hAOMqfu0SI78lH\n2/kMrYbsDbFdUKI0D9e45uG18qcYbRZHx7YKdU/+DdrC6NhM9c0b+TX7E72nIuU9/Vp+f/y9Pkw2\nNsXyexX2Zd4r+y3dX0LP93aDMJpO95fQ/ZeEXZl8xqX/Tvj2de9fKnw8olHazW7Kv0yZJ9zZ9jQ2\n/SIzZ+u5m/IpU/L/ONNeVfn0firkPs+qx6Q/lk2/zIJj0tdn03/DEtly45ReK9dH2H/d9IvCP2Xr\nE6f61Cr1+QdKb+By/ojun6Dkc+i66ReEPdReGkYC7CPxpDBb+GXqllBqTih1i0KcmJpjSU0bktjE\naZjMS+lPaqKlv1MFBbrT2envjHZO7uztXNK5snNt56bO7Z3w9IYC3XmukyvQ8rbWNEt/jYor6TWX\nakhJrymsqapprplSM79mec1DNRtqttbsqjlQ82oNV4Zp70Lues28TTbz1soX40a+pPAX8gmVFRLT\nY6GlXy1ekUrlT82W/lbGle3Wi62kbLcWtAZbm1p7Wvtal7Wubl3fuqV1Z+v+1mOtJq5Aa1yK/gEV\nVDYBzWrQMb4UHuPxqx0l81FUajVXW6C3MIOotxpKQ47yKvvECZaKoDOozrWb85y5+fXNE+NVba5b\nmoqiNcWeSFtXW8QTaLulpuXz1a2hBcXRGnd01qJZ0aqO6uKSFqZSB3yuCkdugS/fXqjOM+VoNdYO\n0VHYFAqErOVhT2V9udNZXNNWH5neUOAP13eZPfXl4caKoglTk+GbJ+blqATl3brxDrPv9nfCJrnP\n8bYTpnceUtrODqUvusUwtZ2Qcv/mG6cr/iVhiuk5Y4+oVvxLdETJb1JGShoCr95+3GOGIoVFjprU\nGy1UqH49n4r4MGvC+kTeZ4000l6rIyKWvtXz1lvvihXvvsW+OXwv+2bLnvb2PVS3uXxeWEDjYz3V\n7R3egkfTb86mvyv8fEz6Y9n0y+PSv51Nf0/45Zj09dn03wh/pGefy+fiBfzZY8KzqaYQb5appow3\nfjMFSTTZArL2SBpxwNLv4yu9GCVmh95xVn5EK5P5YOQfjJlxmEy68MFo6S9h2BQqcZUESsYe2G4u\n2VGyr+RoCTaFSs7Dqimmsl8zpfOmjF1seKCpeXNW0yW13TGr7pdGx3FV54SGuKPHXl5V5c8zBaqq\nyu09jnjEH3WarhnbVaqC4rm317IXh6dHpjSUWDQaS0nDlAhLD3fW3j632K4pyM8M+4q+oUqRXGPK\n/P9/aF7js7Q4ndKblfFIbpsunu6g9BZl/Hp6TPod2fTfCk9m4gyzfxa/xtMn0Tzx5JeEMemvZNPn\nfEne0gjz8e4X7CzXvmcwdWpmKDUrlKobws67vEUo2eqIQ3CmJVU0iGOJOksqMpiKhLBw71Bj6Otw\ndvg7oh2TO3o7lnSs7FjbsaljeweYMDD0dZzrEImW4ebR9VoVf69VudebeRv4h4arz8D2lImT+JBn\nUxF1ShVvUdhM9F300fjmK/AFfU2+Hl+fb5lvtW+9b4tvp2+/75jPtFC6Sf4J1wp6aE+xx9UT6In1\ndPfM61nas6pnXc/mnh09+3qO9qD59JzvwZ7i+KWgFw6MmRQ+/kUaJ3ordAHZ6RMWcmMWAqqxtpeN\n7Bdj1wVMpRJLZjZ74hOKEvPvrC5ffctNwfYvV7TWFWtUpsyK4YuF07rqbWUBu6/RZx23fLAGbaEq\nbEk2t5XpjQ/FQp32qkk1Py5K2LIK30qNLeh1lTtyCqpinsza8XfsJ/TOe6mNtAl7rpv+OWWuvDp9\nntIGr05fKnyH0oMj74s/Fd/n6YvltYcoUptC+mzxfT6jR1lBKhbCQCEOEfEYbe2lYhlv5AmZjfoJ\nmeY1QXFLxmBahlESQeZ5I/M6vX5v1DvZ2+td4l3pXevd5N3uRQRoNDLvOW+GAdTDG40nQ15G40zu\nVaPw+CVqBYZkSZML3g7JTX8wQPPKVNB2Eh+gg9R2gq5gIBgLdgfnBZcGVwXBI7wjuC94NIi2Ezwf\nlKnBG9A0Gy42UNNsKGgINjQ19DT0NSxrWN2wvmFLw86G/Q3HGjD1YqxvvDZAWob17SqKSXF29Lph\n0o4ebY8Oe66OqSaGPx68JiL17okbNw6vvYpYLDs2XKH3u1x57/8wJv1r2fQnhb+/7v1zsu1kfPpS\nrEWVMeYKH2NiQlL4ZqotBK6ftsyxULsFHuZ59lJI3i5zupda+pv4HzpokGLyV2WWVHIwlQxlR5EM\nMd+eJtHDX2GeqhCvMEZ/sCZK4FUkLiboVSQKEsFEU6In0ZdYllidWJ/YktiZ2J84ljBd0+Vprsgc\njTnK6TAo5ho/WdjkkyIHWzvayTWaCcHaZKUv2dvQOLe5dPhhVXFdi7fxZnukOuLxui1yH2+b1VPW\nMqFoTO/WqEWLTXlP/tZbw6XeSRPc9WXVja48TbFT6d1/1zGnsDpakhnLLaKL5PxFpf8OXDd9jnDw\nuulLhe+PSX83m/6+sF32YeYT/WkVYtU/ruT/93w+YtjhYad5vy4T+lPlIRBglVtSBYOpghCd3DIy\nyVYN4gVVYPuw38RTuapePCizDYyhrcr00HH+FeMmfxf/4JJHf/RQlbFE3qLst+K9Wi9a6b1aC6xB\na5O1x9pnXWZdbV1v3WLdad1vPWY1kXkwH1zK0JnR3eR4M04HX2Ipb8/hzZIsTvuXrCt6dAo5ore0\ntP+LGNouu6IPv8FUM+aQI7oYaty4UdZFT3F5FIuQ0zKaU38sCpm5nAnUb+T0J5k81+q5LvqiuJ9r\nXlXCQ3tKVT7YmPgu0TyW4yv0VfkQSXG+b7nvId8G31bfLt8B36uYx8w+6gLmUH8+l6hPCYMgpAKh\nccrsdafUMcps4NOVWdWYfdSxe5AGsT0vM02x0vz8UvwbN0Wx14drM5ORyuEoKsI/0sFHfj5iEbay\n1wWbMH2PUZMDHTw7BueO3T/VT5oPVYaPtmqXOqDOGLeuUq9Tb1bvUO9TH1VjtFWfV2Om1rkU5QSr\nOVJgnCq9TV9QkqduF12xicUF/8hEdX5JhVX0f/xabn2DP1d+P7w+XGfh/YF9jt7P54YFxXffzX5J\n89nXKP13C+X0efwhnKqdPP0JZR4tFn6lpM+k+5+g+y89IN/vHnEL28ak/+7SaD438f6TyWep8I2R\nHJ7eQf0K/XOLkv8/0v1Xp88TnpLTeT1Ps7PZ9N8JX6X0/HH38/q8mF37ieXUHp9WxvH+MemvZNPn\n3CB9rfAmpVOcKUo/RPm3zZDzt/P63Er1kdN/9ys5vfSq++cl5PRxsRGQz6rrp39ukbyHU87nD8QI\nuUW4CIV8Lqnisk4+15KaDp18Osw6atSfUa8mfzDo7l20tuhydvm7ol2Tu3q7lnSt7Frbtalre9dA\n15EurC26znXxqZ2WK1zpRzlZq4IxmnnuZ9PMkxi7kheTNHYlC5LBZFOyJ9mXXJZcnVyf3JLcmdyf\nPJbEnOT6zJr5uIAWuquCX5CS86Mb6ueN4aq6G8S7SIyPjFFuy7++gt6jsjpuEAcjcHXEDL1alN+z\nG+8z+55/N1dQ9O332YP0/n+o7GU9ldHDwf+rpPP7m4Qbp4/hC64Qntuj1WDjV0sewE4iZ3TSClOL\n5aWAQ8LsnDQu9GbuVec6e1SiWi3H+MWRAlnl8XHK4DIEDDFDt2GeYalhlWGdYbNhh2Gf4agB45Th\nPEip86we5aDVRY4XhYPKArNYmZa4pj+e+rdR3gLI0P/+5V+OJwCeMUOmAF7S+NBYDuC/bVwCEuAs\nB8n3ZA4SLscfg4Mkm/61bPqTinzHcZbQOPD0mPSL2fR/FbZm0sX8MfevFU4KModNgI3wcb5ZGFCs\nU2qGaMaSz2fjyhq/vxTKJdmR1OCMN1UXwkeK4pNd3Y3jHb6xwkhBfTIfMqaBXFUE+XC/l16RF1Gr\nYt5u7zzvUu8q7zrvZu8O7z7vUWgOJ73nQa7YTPdfV/e7AXnN2OO6kXHz5PVJba5/QvAJVDfZzWJl\n3+oVkveQsh77jTDqY634YGO8VMbRcX6aGF8/f/30pcr8thh7PeIrgrx3rhOKhB8p79nC79/P09dT\n+leFd+g9+4XXWIBZYQsBbY4NUUjKIUGOt90KzySK5XBWhGNoJXxKA8MjjL3WLq+DAP/EyxOFXPYX\ne7RqDR82x3kxbcN5VyuM/VtxZcbVGbUc+AFG3FjoF4D/Y59wFJ63CE8vG7bL7BphBRZKg4CNYLfR\ng+pFJDrUi/BQ3s+OwUPZBb+CHL2okGgslHJyFG4HKVdFqX+Ab3AUoIXTQRm4ZFPwyHwNAKcMaRvA\njC/uU9JWSGdxNQvwqDFjyEqnJFeHg8YRuOyjKIl0lf6++AMEuxwS/xOsWn8HUd4lypHU9Rg8Ml6w\nq+B+NR9UBb3w9V3GVuOJdoHaZYpmPuhJQGeWnqzthddvN4QC1utYuYrRkXOg/CUW2Tr8sXy2PHfG\n8KYr7IGPN+Ks4qDynlQPkT+VjU0FqaZAMdbNQ/15XJhfAJ/LixwGvpL3VN7uPNUKSZVngMRA+C8z\nJRyE31Yu4DwdZsKlC4R6IoWRBCGdmrLMGZJeUPiGFkpn4Lm7JueJLN+EGbwm2iHJJGd/0ARud0vK\nMpQ0g452jeUJyzbLC5aXLboVSVvcMtWywHKX5WHLVyxPWXZbDlpyFqbftFyCGXaORdnUegHMXmYH\n2AZmOhY57nOscTzh0Cy8Dq1/lsBEsOYqnqRW+RRRHBy4W3xE/BswE8bxjo4T/Zl8mybUr+X35BI/\nNl6ZkT5RjHlm9aoq5dNF3jV0XnhesxHD71kPsw//J2sYXjt88tFb2b+z54bfZHr28PDaDThGPHJE\nfIU6ENhwKpIC0+wpEITc3AZBLYRGXuQYHfkRx9jInzg2jwxwjBMmCF8a2c3xrZFfcxwi/BnhGcKz\nQBZFPixG2ESYRG6sDTmwh+meRzhqqEQNlaihEjVUooZK1FCJGipRQyVqqEQNlaihEjVUooZK1FCJ\nGipRQyVqqEQNlaihErVUopZK1FKJWipRSyVqqUQtlailErVUopZK1FKJWipRSyVqqUQtlailErVU\nopZK1FKJOipRRyXqqEQdlaijEnVUoo5K1FGJOipRRyXqqEQdlaijEnVUoo5K1FGJOipRRyXqqEQ9\nlainEvVUop5K1FOJeipRTyXqqUQ9lainEvVUop5K1FOJeipRTyXqqUQ9lainEvVUok1Qj7zKUUOo\nJdQR6gkXjqzhmCI8jhRmIDQSmggf41jCa/5djlHCGKU0jzyLU1fCBOFLhD8beYvjGcKzQEa/4rUF\nNhEmkQOvLb+f1/MtoZrXc4CjhlBLqCPUEy4cWcoxRXgcKbyeQCOhifAxjrVCiLeDWiFKGBMsHJtH\nfscxTpgg/JlQwPEM4Vkgo/tZjLCJMInf8hry+9kj/J4Qr+GLHDWEWkIdoZ5w0sjXObYSJgnbCTsJ\nJxNOI+wl7CO8jXAh4XLCuwjvJryH8F7CdfwdhYT1I3/k+DSlPEP4LOE2wm8T7iZMER7i0g4J/0bX\nrxAeITxOdT5B354kfIPwFOFpwiG682eEZwjPArnk+W+55IEmQnpG1kVIT8q6CXsIpxBOJbyZcAbh\nTMJZhLMJF+Dp2BK6Xkq4jHA56sPuIrybkCTDSDLszwnvI3yAvn2QcCXhKsLVhA8RPkx3PkK4hkp8\njD9FlHpKlHpKlHpKlHpKlHpKlL9fYCthkrCdsJNwMuE0wtt4O4xSz4ryd4qUuwjvJryH8F7CdYTw\nt47yd4rrZwifJdxG+G3C3YQpyvMQ7y9R/h5RynFKP0EpJwnfIDxFeJoQo0eURo8ojR5R6uNR6uNR\n6uNRRk/B3yCQnoW/KeAMwpmEswhnEy5AnfmbwvVSwmWEy1Eif1PAuwkfIHyQcCXhKsLVhA8RPkK1\nWkN5YrSJ8Xfxa44aQi2hjlBPOIn/KsbfBTBJ2E7YSTiZcBrhbXT/Qi6rGH8XuL6L8G7CewjvJVzP\n+3iMvwVcP0P4LOE2wm8T7iZMUW6H6PoI4XHCE4QnCd8gPEV4GshlDjQSmgiptlzmQKozlznSZxDO\nJJxFOJtwAWrIZY7rpYTLCOm5GD0Xo+fiMgc+SLiScBXhasKHCNdQbo/x62Yae5tp7G2msbeZxt5m\nGnububS/y7GVMEnYTthJOJlwGuFthAtHHue4nK7vIryb8B7CewnX8d7XTKNZM5c5Up4hfJZwG+G3\nCXcT/gPVJDXyDMe9lHKE8DilnyA8SfgG4SnC04Rv8RbVTPNFM80XzTRfNDOqP5c/kJ6Cyx84g3Am\n4SzC2YQYnZq5/HG9lHAZ4QOU24OEKwlXEa4mfIhwDf0WM1ScpB0nacdJ2nGSdpykHSdpx0nacZJ2\nnKQdJ2nHSdpxknacpB0nacdJ2nGSdpykHSdpx0nacZJ2nKQdJ2nHSdpxknacpB0nacdJ2nGSdpyk\nHSdpx0nacZJ2nKQdJ2nHSdpxknacpB0nacdJ2nGSdpykHSdpx0nacZJ2nKQdJ2nHSdpxknacpB0n\nacdJ2nGSdpykHSdpx0nacZJ2nKQdJ2nHSdpxknacpJ0gaSdI2gmSdoKknSBpJ0jaCZJ2gqSdIGkn\nSNoJknaCpJ0gaSdI2gmSdoKknSBpJ0jaCZJ2gqSdIGknSNoJknaCpJ0gaSdI2gmSdoKknSBpJ0ja\nCZJ2gqSdIGknSNoJknaCpJ0gaSdI2gmSdoKknSBpJ0jaCZJ2gqSdIGknSNoJknaCpJ0gaSdI2gmS\ndoKknSBpJ0jaCZJ2gqSdIGknSNoJknaCpJ0gaa8UMNqsFF4S8oUXhRdHhvjVS4RYgbxEK5CXhB/y\ne16iGfwlmsFfohn8JZrBX2L307crCP+C4yG+XgL2ES7ktTqE/QyOywnvIryb8B7Cewm/SIgZ9pDw\nTV6fQ8IWwqcIn6ZvnyF8lnAb4bcJdxOmqKy9uObrGWAP4RTCqYTTCG8mnEE4k3AW4WzCWwjnEM4l\nvJXw86gJu53wDsI7CZfQt0sJMcIfJ63hOGkNx0lrOE5aw3HSGo6T1nCctIbjpDUcJ63hOM37x2ne\nP07z/nHSGo6T1nCctIbjpDUcJ63hOGkNx2kufotmzLdophvi169yTHH8Gcn/ZySZM3R9hq7P0vVZ\nXDMDasuR15Yjry1HXluOccIEIa8tR15bjkOEPyM8Q3gWiNpyjBE2ESaRG2rL8WG6h9eWGalEI5Vo\npBKNVKKRSjRSiUYq0UglGqlEI5VopBKNVKKRSjRSiUYq0UglGqlEI5VopBJNVKKJSjRRiSYq0UQl\nmqhEE5VoohJNVKKJSjRRiSYq0UQlmqhEE5VoohJNVKKJSjRRiZXQvzhGCbn+xZHrXxzjhAnClwi5\n/sXxDOFZIKNfQf/i2ESYRA7Qvzhy/Yv5KX8/5e+n/P2Uv5/y91P+fsrfT/n7KX8/5e+n/P2Uv5/y\n91P+fsrfT/kHKP8A5R+g/AOUf4DyD1D+Aco/QPkHKP8A5R+g/AOUf4DyD1D+Aco/QPkHKf8g5R+k\n/IOUf5DyD1L+Qco/SPkHKf8g5R+k/IOUf5DyD1L+Qco/SPmHoPNxjBJyvZIj1ys5xgkThFyv5HiG\n8CyQ0f3QKzk2ESbxW+iVHLleycKUc5hyDlPOYco5TDmHKecw5RymnMOUc5hyDlPOYco5TDmHKecw\n5VxPOddTzvWUcz3lXE8511PO9ZRzPeVcTznXU871lHM95VxPOddTzvWUM3SlFxl0JaCWUEeoJ+S6\nMIOuBEwSthN2Ek4mnEbYS9hHeBvhQsLlhHcR3k14D+G9hFwX5shnWAa9CSnPED5LuI3w24S7CVOE\nXBfm+G90/cr/7e1MgOwo7jPerZV2Vxe3AWMsP+MDDEKWhGBmxGGt7gvd4pAlpKe3o92Zefve8o6V\nVoBlrxHIB5CkcscCh5CkApWEHChEoOC4HBIUJakk5iocQ27HSZzEOSqpOFH+329mtU+ywJWqVLx+\n3+s309PT/f96ju7+PgG+CB6nzi+z9xXwVfA18HXwa+T8Ovgm+JZQY2GvkZRwJkgbNRb2GkkJV4Ar\nwVXgavBWcB24HtwAbgS3qXUaC3uNsISDYKL6aCzsNcISEhlPZPQkNayDLfa2wRFwL7gPHAX3k/Me\n8ABntLGwD+A3gN8AfgP4DeA3gN8AfgP4DeA3gN8AfgP4DeA3gN8AfgP4DeA3gN8AfgP4DeA3gN8A\nfgP4DeA3gN8AfgP4DeA3gN8AfgP4DeA3gN8AfgP4DeA3gN8AfgP4DeA3gN8AfgP4DeA3gN8AfgP4\nDeA3gN8AfgP4DeA3gN8AfgP4DeA3gN8AfgP4DeA3gN8AfgP4DeA3gN8AfgP4DeA3gN8AfgP4DeA3\ngN8AfgP4DeA3gN8AfgP4DeE3hN8QfkP4DeE3hN8QfkP4DeE3hN8QfkP4DeE3hN8QfkP4DeE3hN8Q\nfkP4DeE3hN8QfkP4DeE3hN8QfkP4DeE3hN8QfkP4DeE3hN8QfkP4DeE3hN8QfkP4DeE3hN8QfkP4\nDeE3hN8QfkP4DeE3hN8QfkP4DeE3hN8QfkP4DeE3hN8QfkP4DeE3hN8QfkP4DeE3hN8QfkP4DeE3\nhN8QfkP4DeE3hN8QfkP4DeE3hN8QfkP4jeA3gt8IfiP4jeA3gt8IfiP4jeA3gt8IfiP4jeA3gt8I\nfiP4jeA3gt8IfiP4jeA3gl9G9z6C3wh+I/iN4DeC3wh+I/iN4DeC3wh+I/iN4DeC3wh+I/iN4DeC\n3wh+I/iN4DeC3wh+I/iN4DeC3wh+I/iN4DeC3wh+I/iN4DeC3wh+I/iN4JfZAB/BbwS/EfxG8BvB\nbwS/EfxG8BvBbwS/EfxG8BvBbwS/EfxG8BvBbwS/zCH4CH4XaX7McArYDfaAveAt9saySPNjhovA\nxeBScDm4BtxOfnvbN0xIp2AGVsEh8JA99xdp3GR4GHwUfAx8HHwSfJrSvkT6RfA4+DL4Cvgq+Br4\nulDzY4YzwJkgtdX8mCF11jjLcB24HtwAbgS3qYYaPRkOgIMg7fK0y9MuzY8ZtsERcC+4DxwFD1Da\nmKX7NIdgOAXsBnvAXvAWY6pPcwiGi8DF4FJwObgG3A7uOHnQMCGdghlYBYfAB43xPq6gPs0hGB4G\nHwUfAx8HnwSfoiZPnzxs+AxbXgSPs/1l8BXwVfA18HXwDXvX7dMcguEMcCZI/TWHYEgrNIdguA5c\nD24AN4K6Ivo0h2A4AA6CLUprgyPgXnAfOAoe4NgxS69xa12/YQscccsND5I+5LYZPgQ+zJZHwCPg\ns26+4VF3k+Fz4PPkPAa+AJ5wG/waf5vyW2+xLX4H6bvAneAusAwOk/9usAEesKN2Wg03GLbsLDut\nhlcZHmTLIfAh8GHwEfAIOZ91FxketXrutBoKn2f7MfAF8ISb5XdaDe0oq6FwB3gXuBPcBZbBYfLf\nDTbAA7Y90ZyJ4R2gjc0Nd5FOwBTMwCo4BN4HPmj9IdGcieGPgj8OfoG9h8FHwcfAx8Enwac51zNK\na87EcCW4ClwNrgHXgreC68D14AZwI7gJ3AxuAbeCu1UfzZwY9oMxuIe9A6Cu/ZQ4pMQhJQ4pcUiJ\nQ0ocUuKQEoeUOKTEISUOKXFIiUNKHFLikBKHlDikxCElDilxSIlDShxS4pASh5Q4pMQhJQ4pcUiJ\nQ0ocUuKQEoeUOKTEISUOKXFIiUNKHFLikBKHlDikxCElDilxyIhDRhwy4pARh4w4ZMQhIw4ZcciI\nQ0YcMuKQEYeMOGTEISMOGXHIiENGHDLikBGHjDhkxCEjDhlxyIhDRhwy4pARh4w4ZMQhIw4ZcciI\nQ0YcMuKQEYeMOGTEISMOGXHIiENGHDLikBGHYbtyZxm2wIPgIfAh8GHwEfCI0K5E4TZwB3gXuBPc\nBZbBA4b7NVdm+LThPcT5HiIwxnzRGPNFY8wXjTFfNMZ80RjzRWPMF40xXzTGfNEY80VjzBeNMV80\nxnzRGPNFY8wXjTFfNMZ80RjzRWPM4Dl3ib8s/68qGU7PNSVos3rsV57uciV3QZGe3JFniuWZX6S7\nbXtUpKUnXFqkLyB/l/OTp9r3Z/XfWCHt3cXGRp6e5M7x+4p0l1vkHyjSkzvyTLE8Lxbpbtv+1SLd\n46/y3yzSve6yrguK9FQ3q2t2kZ7W/Uddq4v0dDdn2uVFeoZbPW18+3luxrQfLNLnu95pX+wbiWtJ\no7S4Xs82xQPtarnRseXGUjhnbv918bwbS/Pnzpt/7dwF9v9iU57tWmUrjkiapXKp1Sj3x0PlRlaq\n7ymtjJP+uLo7bgzEjdLSRruSDZWblcGkFtdKfStml+J9lWq7mYzE1dFSNanEtWbcX2oNNurtgcHS\n2qRWb40Ox6UVQ7tXzi6Va/2lofJoaXdcasQDSbMVNyxzUitV4karbN9pu5E0+5NKK6nXmnPcEld3\nw27UNVziBtyg9fGfM37nu7lOs0ol6/mJq1meluUZdrFtWeGG3G630s229F7+5rjqGbnmuIr9GrLv\nkrM3FPsrdZyhya/YvmP7HjHst5x9pGqWq2H7F9vxdZe5TbZtwLWthLJtP3ueGy0dWglzrZzrbP88\ntqgN8wyvte8FBZ6eq7O0a0+Vdvo5Empbtk/Lftvz3fYNUZfMttXdHsOVti1hT9UiozYNgCXr9w2r\ne8Xy6pimpQaJlMpXZFYQxdjtsz1Vy9m0vSOUM2rbFdUKeZvESHUYtBLrllOR/F7slG2fjtK5Vd5u\ncjSIqNrVopZ5yQk1qrClZfnz36mdqUHefurSMqxTnznvcO4+y62jypSxnBi0YD+Gw3faWyKOTX7X\nirqdyYiOm2f3l9D+8nbuKdpSsrrEsNM8xc6g/R7hqIEiJnkZ461XHMZLbbK/SSqmlnuIet7CPba3\nwhHq16s44szydKbYrgldGwl8fTdLs6lVXJwvoY357z1w3zpVbt3iWSUW5VOxV33qZ8Qp76HVom+V\nicREW5LiqPwc4/046Sgxj9Qy27O7OHq87yyHnTbHzKYPtalfXoeynbNJSn0so/w2sRsvc/ys6uPD\nRUzFZYWt42dpEptq0SvV0/L25deC7lBDHNXq4HWiPXuLfSo5j3il2KJ6j8LWliL3Xju6cZZeNUTc\n8nhdaeWPtzq2X+MRXM7vGlfxRN0HC/abRZ3KRXzGa3d631Ht98JcicgNdcQqKUqZ6E3DnLF1FvY7\neZnDvTDnpW15FMecizPZO9u9Le+ZJTtX3t783qOrMa9dC84q3FMTcg5yLytRVqPgq8w9vknuOmc/\nPR5lys63JNwR8+s1z9HZPwdhKHH7aW+r6GPj97OSu8K2X3Fa2ae3o0xbVLqupgrbKrRY99j4tDtj\nszhbi6jkd5v8Ph2TI+ZOMtF/8p5ds0iViz6cPx2Sjntotbi/7rZPlYiNdpxxoLjDn8lFuYhrw2Je\nZ2udK6mzrvmTIOGekF89w7S0DL/j19QeWqQrtV5cDS2uvtZppQ1yXP+pe0bnPS1/+i+gju98rx4v\n7czeXuL+0ijin9cn7+Nv/9TQ2TKOUizWcO/Tc6sMS4nLn1z59Zt1PA/PFsu8VhWOKNP+t8+9rojO\nROTG823graNFjdtWyxJvS1WiP/EsnMM7Tctas9Bpve97vRP973J/lFrpOjj9uah+2dmO8beXQp/v\n3Mln3Hx3lv/5++0zyXJ1ud+2CP+8necX3Ifch638K91VVt7vuOPud93fuI+4q901drWccL/nft/9\ngb0hzbHa/BlvVXusbP0jwn9otflj9/3uF+2NaoG73t3g/sLeGv/enstfdS9bS1+xp/RCu3Pc5P7W\nPedudn9lb0S6Nz1k7f2ivV1Mtdr3WYxnug9YW5e5j7md7i63y93iFrk33Dfcg9bn/tTa9XV3v40V\n3uvOdZ9zx6zHjLkvu0/buOtZqavdq9Z7honI3e497in3K+6Xjatv2ojhp6xHf8ld6n7T/Yy7xD3v\nVrvPGIfvt3fcJ91vuBesl71p7/prLbojxkLb3Wq9Yb17n3vC/bnb4LvcP7gfcf/oNrrLrYd027vo\nqLvH3et+yb1ld6eL3L+4f3X/5A67R91PuvvcZhsTTrdRRK873092L7pzbOy7xe5Uj9to5bfcr7pn\nbGz4a+4rbprbaiOfP3G3ub90D7hZ7jL3bhsXvWTjytvdt9zF7t/cP7vX3efdu9y33R3uE+6T7lPu\ngPF7p9vmPu62u79zR90Pux3ur92Fforv9j2+10/10/x0P8PP9Of4c/15/nx/gb/QX+Tf5S92j/lL\n/KXuJ/y7bWT3AzYS/4L7afdjNhb/df8eG7P+rI3Ofshf7t/rZ/n3+ZL7L/9+d9Jf4T/gP+g/5D/s\nr7QR1Uf81e7f/TV+tr/Wz/Ef9XP9PD/fX+cX+Ov9DT7woY/8Qn+jv8nf7G/xH/OLfJ9f7Je4//RL\n/TK/3K/wK/0qv9qv8Wv9rX6dX+83+I1+k9/st/it7r/9bd752/0d/k6/zX/cb/c7/F02Uv4Pv8uX\n/W5f8f0+9nv8gB/0iU9tTF71Q77m6zZ6vts3fNO3fNuP+L1+nx913/H7/T3+Xn+f/4Q/4D/pP2Uj\n20/7+/1B/4B/0B/yn/Gf9Z/zn3cfdN83ZU6tXa12D5UrjXrtnOG4kdT7bXDFiGnysnajPnWgUR6J\n51TKw1PLlXaL1DmVpFFpD+2pxvvYUSnbwR2pcrU1tZVU+8k8oz+xwppJUz+m5SdSsqddS+bOXxJN\n3d2I8xP0NpLagBLnDbZrA+VGe6habre0YWZ/vVWuqF76Nb1SHxoq57/P7UjrvFOWxtVWmbKvixbk\n331R/r14ydTyniS5Yd78MJoaN1vJULkV92vf8nD5cn3Pnz/v+uI76unL69rdRwV7+uoD9VqcTV8y\n0fhpS07Vq3spTbevRr3c6l7Gr55lRRHLKGLaslPZe5YVpa3oKG3Fqd0zVnQ0a/rKiTyTV+4uN7pX\nEdyeVXnp01ZNFLuqKHb1xCEz1nSU1b0WErvXUr8Zazt2TV5rxXSvy/evy/ev69jfs75ozHoaM3N9\nJ0ndm/LjNuXHbeo85WZ2Td/cUaXNnfu35Mds6TwXfWNe3+Qtau7WvLlbi/Nv5fxTtqq3zNzaWYue\nrUXzb5841/Q7J9Ld26jKtG0TASsXhZZzkstFAZUOWioTJPfnJPfnJMc5yXFRRJyTHE8UHhelDXSU\nNjBB8kAnyYMdJA+q1Une6iQvvSfJy+q1w6txs5lOTzvimXXGs5pTUc3DWu2kuCqKa/n+Wr6/1lmJ\nWnm43mw16sODcU+9aFY9p7t+Gt0NypjR6DxvIw9OM6e72VG9Zme2Vn7e1nfTvXhySw1v5w1vF+dv\n53S3obt9Gt3tIr57O+ge7aB7f073/lMhn7Rq9aQk5XRz+5YW33NPzd65cQeZPZ9m2VPfL12+dos9\ny/gXrk+eZI/P4kbNtuX5vO2bxHevfWrknN97YvzPvdK10Pd23dt11C+c/J0p39bfpKWT1k3aMmms\n90TX3N5ne7/MH7m7FhZ/9/J3NP/Tcd3f6Lmt5yv66x3hmBP61/jsbFPsidxj577Q3guuxsFzg717\n5O8bI/asP2ZP/uP2FvE1e3t4071VPB/Hn2n5U2z86aUn1hq/s3i+DPMMGbNnubwdcnbI1yFXhzwd\ncmjIUXH85EtyRMgPITcEDoQZ6IalGpZmWIph6YXlQpIHSatqWi/TapnWyqR9XXzWc8g1Is+IHCPy\ni8hnIX+FnCLbKfEAHhE5ROQPkTtE3hDpVuULkStEnhA5QuQHkRtEXhDVWz4QuUDkAZEDRP4PuT/k\n/ZDzQ/pPqT9RU3a0z+ogp4d8HnJ5yOMhh4f8HXJ3yNshZ4d8HXJ1yNMhR4f8HHJzyMshJ4d8HHJx\nyMOBRvGAHafYTUIFfIy5ZWmAp6MBlgJY+t8TllMr4loP12q41sKHbdvd9pHe9xr0vlL7SlMqpa90\nvlL5SuMrha/0vVL3KkZS9krXK1WvNL1S9ErPKzWvtLxS8kqhqhUIrT9o9UFrD1p50LqD1hu02qC1\nBq00aJ1BqwxaY9AKg9YXtLqgtQWtLGhdQasKWlOQNncSSlnpZM/DISenm9xx8sbJGSdfnFxx8sTJ\nESe9odSG0hpKaSidoVSG8sCdi3dNTjT51uRak2dNjjX51eRWewvtXTfaPCnzpMuTKk/+tA340+RO\nkzdNzjT50uRKkydNjjT50eTUkkNLTjT50ORCkwdNDjT5z+Q+k/dM6mxps+U6k5JdjjP5zeQ2k9dM\nTjP5zOQyk8dsnF25y+Qtk7NMvjK5yuQpk6NMfjK5yeQlkzpD2gwpM6TLkCpDmgwpMqTHkBpDWgwp\nMaTDkApDGgwpMKS/0FqztBdSXkh3odV0raVrJf3M3iWdhVQW0lhIYSF9hdQV0lZIWaG1ZznAbsZ1\nJM+RHEfyG8ltJK+RnEbyGcllJNeO3DryF22nlx45aw+Vn+jte+QR/ENyD8k7JOeQfENyDckz9DpX\n7LdQQ0gLISWEdBBSQZytx0r50NErUTywpmcfaR2kdJDOQSoHaRxGuVovxf1z81nvdPJFyBUhT4Qc\nEfITyEcgL4ScEPJByAUhD4QcEPI/yP0g70PeX57A9SDPgxwP8jvI7fAUV8thfA5yOcjjIIeD/A1y\nN8jbIGfDG9yTJ+6w0iJIiSAdglQI0iBIgSD9gdQHeX94At2BVAfSHEhxIL2B1AbSGkhpkHN9xEaX\na22crLH4iI1MD9r3IRuVPWSfhy39iH2O2OdZez4dtTHvc/Z53vYds88L9pGOQCoCaQikIJB+QOoB\naQekHJBuQKoBaQYOWH6dbYP0AlILSCsgpYB0AlIJSCMghYD0AVIHSBsgZYB0AVIFoAmQIkB6AKkB\n0ALYRzoAqQCkAZACQOv/B6ys2f+vd9C1/wd3UY3cZ2lVVmuyWpHVeqxWY7UWy0qs1mG1Cqs1WK3A\nav1Vq69l2jyL+/BLeBQm0WrV+EJ8E3JNyDMhx4T8EnJLyCshp4R8Ep1PSa2uam1VK6taV9WqqtZU\n8xXV/J1Kf+5/AIGHtqIKZW5kc3RyZWFtCmVuZG9iagoyMCAwIG9iago3MDc0OQplbmRvYmoKMTkg\nMCBvYmoKMTI3MzQwCmVuZG9iagoxNSAwIG9iago8PCAvRmlsdGVyIC9GbGF0ZURlY29kZSAvTGVu\nZ3RoIDY3ID4+CnN0cmVhbQp4nO3NMQ0AIQAEwVNMTYKOV4AZKhosIOQxQUNmuq02uWynZ2WmpWac\nLreHAAAAAAAAAAAAAAAAAAAAAPCY7weB+gXnCmVuZHN0cmVhbQplbmRvYmoKMTggMCBvYmoKPDwg\nL0ZpbHRlciAvRmxhdGVEZWNvZGUgL0xlbmd0aCAyNjEgPj4Kc3RyZWFtCnicXVE9b8MgEN35FTem\nQ0Rst5UHC6lKFw9Jq7qdogw2HBZSDQjjwf++fCRu1ZPg6T7ece+gx/a11coDfXeGd+hBKi0czmZx\nHGHAUWlSlCAU9zcv3XzqLaGB3K2zx6nV0pCmAfoRkrN3K+xehBnwgQAAfXMCndIj7L6OXQ51i7Xf\nOKH2cCCMgUAZ2p16e+4nBJrI+1aEvPLrPtB+Kz5Xi1Amv8gjcSNwtj1H1+sRSXMIxqCRwRhBLf7l\nq8wa5FZexfIAzwwuf9wiQ5mhyvCY4enOuKYGdXbrW4M6hsuyiNQMl4zXOM/95Tha3OOmmy/OBclp\n2UlrVKk0bv9hjY2seH4AHtCFLgplbmRzdHJlYW0KZW5kb2JqCjEzIDAgb2JqCjw8IC9DSURUb0dJ\nRE1hcCAxNSAwIFIgL0ZvbnREZXNjcmlwdG9yIDEyIDAgUiAvQmFzZUZvbnQgL0F2ZW5pci1Cb29r\nCi9DSURTeXN0ZW1JbmZvIDw8IC9PcmRlcmluZyAoSWRlbnRpdHkpIC9TdXBwbGVtZW50IDAgL1Jl\nZ2lzdHJ5IChBZG9iZSkgPj4KL1N1YnR5cGUgL0NJREZvbnRUeXBlMiAvVyAxNyAwIFIgL1R5cGUg\nL0ZvbnQgPj4KZW5kb2JqCjE0IDAgb2JqCjw8IC9FbmNvZGluZyAvSWRlbnRpdHktSCAvQmFzZUZv\nbnQgL0F2ZW5pci1Cb29rCi9EZXNjZW5kYW50Rm9udHMgWyAxMyAwIFIgXSAvU3VidHlwZSAvVHlw\nZTAgL1RvVW5pY29kZSAxOCAwIFIgL1R5cGUgL0ZvbnQKPj4KZW5kb2JqCjEyIDAgb2JqCjw8IC9E\nZXNjZW50IC0zNjYgL0ZvbnRCQm94IFsgLTE2NyAtMjg4IDEwMDAgOTQwIF0gL1N0ZW1WIDAgL0Zs\nYWdzIDMyCi9YSGVpZ2h0IDAgL1R5cGUgL0ZvbnREZXNjcmlwdG9yIC9Gb250RmlsZTIgMTYgMCBS\nIC9Gb250TmFtZSAvQXZlbmlyLUJvb2sKL01heFdpZHRoIDY4MiAvQ2FwSGVpZ2h0IDAgL0l0YWxp\nY0FuZ2xlIDAgL0FzY2VudCAxMDAwID4+CmVuZG9iagoxNyAwIG9iagpbIDQ4ClsgNTY5LjMzMzMz\nMzMzMzMgNTY5LjMzMzMzMzMzMzMgNTY5LjMzMzMzMzMzMzMgNTY5LjMzMzMzMzMzMzMKNTY5LjMz\nMzMzMzMzMzMgNTY5LjMzMzMzMzMzMzMgNTY5LjMzMzMzMzMzMzMgXQo1NiBbIDU2OS4zMzMzMzMz\nMzMzIF0gODcyMiBbIDY4MiBdIF0KZW5kb2JqCjMgMCBvYmoKPDwgL0YxIDE0IDAgUiA+PgplbmRv\nYmoKNCAwIG9iago8PCAvQTEgPDwgL0NBIDAgL1R5cGUgL0V4dEdTdGF0ZSAvY2EgMCA+PgovQTIg\nPDwgL0NBIDEgL1R5cGUgL0V4dEdTdGF0ZSAvY2EgMSA+PiA+PgplbmRvYmoKNSAwIG9iago8PCA+\nPgplbmRvYmoKNiAwIG9iago8PCA+PgplbmRvYmoKNyAwIG9iago8PCA+PgplbmRvYmoKMiAwIG9i\nago8PCAvQ291bnQgMSAvS2lkcyBbIDEwIDAgUiBdIC9UeXBlIC9QYWdlcyA+PgplbmRvYmoKMjEg\nMCBvYmoKPDwgL0NyZWF0aW9uRGF0ZSAoRDoyMDE0MDIyMDE3NTMyNS0wNycwMCcpCi9Qcm9kdWNl\nciAobWF0cGxvdGxpYiBwZGYgYmFja2VuZCkKL0NyZWF0b3IgKG1hdHBsb3RsaWIgMS4xLjEsIGh0\ndHA6Ly9tYXRwbG90bGliLnNmLm5ldCkgPj4KZW5kb2JqCnhyZWYKMCAyMgowMDAwMDAwMDAwIDY1\nNTM1IGYgCjAwMDAwMDAwMTYgMDAwMDAgbiAKMDAwMDA3MzYzOCAwMDAwMCBuIAowMDAwMDczNDQ0\nIDAwMDAwIG4gCjAwMDAwNzM0NzYgMDAwMDAgbiAKMDAwMDA3MzU3NSAwMDAwMCBuIAowMDAwMDcz\nNTk2IDAwMDAwIG4gCjAwMDAwNzM2MTcgMDAwMDAgbiAKMDAwMDAwMDA2NSAwMDAwMCBuIAowMDAw\nMDAwMzg4IDAwMDAwIG4gCjAwMDAwMDAyMDggMDAwMDAgbiAKMDAwMDAwMTMzMyAwMDAwMCBuIAow\nMDAwMDczMDYwIDAwMDAwIG4gCjAwMDAwNzI3MTIgMDAwMDAgbiAKMDAwMDA3MjkxOSAwMDAwMCBu\nIAowMDAwMDcyMjM5IDAwMDAwIG4gCjAwMDAwMDEzNTMgMDAwMDAgbiAKMDAwMDA3MzI3NyAwMDAw\nMCBuIAowMDAwMDcyMzc4IDAwMDAwIG4gCjAwMDAwNzIyMTYgMDAwMDAgbiAKMDAwMDA3MjE5NCAw\nMDAwMCBuIAowMDAwMDczNjk4IDAwMDAwIG4gCnRyYWlsZXIKPDwgL0luZm8gMjEgMCBSIC9Sb290\nIDEgMCBSIC9TaXplIDIyID4+CnN0YXJ0eHJlZgo3Mzg0OQolJUVPRgo=\n",
178 "collapsed": false,
187 "image/png": "iVBORw0KGgoAAAANSUhEUgAAAJgAAABWCAYAAAAzIF/lAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nxCsMGOIVBgzxCgOGeIUBQ7z6LzWkj3n7AHKHAAAAAElFTkSuQmCC\n",
179 "input": [
180 "plt.hist(evs.real)"
181 ],
182 "language": "python",
183 "metadata": {},
184 "outputs": [
185 {
186 "metadata": {},
187 "output_type": "pyout",
188 "prompt_number": 9,
189 "text": [
190 "(array([97, 2, 0, 0, 0, 0, 0, 0, 0, 1]),\n",
191 " array([ -2.59479443, 2.67371141, 7.94221725, 13.21072308,\n",
192 " 18.47922892, 23.74773476, 29.0162406 , 34.28474644,\n",
193 " 39.55325228, 44.82175812, 50.09026395]),\n",
194 " <a list of 10 Patch objects>)"
195 ]
196 },
197 {
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24ggOTv0ZOChW5CQOhp6pCtFoxOMinJW2MJfLS4uXTxQUDrF0LF4pFEq1kizJ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jZW50IC0zNjYgL0ZvbnRCQm94IFsgLTE2NyAtMjg4IDEwMDAgOTQwIF0gL1N0ZW1WIDAgL0Zs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\nIDEgMCBSIC9TaXplIDIyID4+CnN0YXJ0eHJlZgo3Mzg0OQolJUVPRgo=\n",
199 "metadata": {},
200 "output_type": "display_data",
201 "png": "iVBORw0KGgoAAAANSUhEUgAAAJgAAABWCAYAAAAzIF/lAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nxCsMGOIVBgzxCgOGeIUBQ7z6LzWkj3n7AHKHAAAAAElFTkSuQmCC\n",
202 "text": [
203 "<matplotlib.figure.Figure at 0x10b0ecf10>"
204 ]
205 }
206 ],
207 "prompt_number": 9
208 },
209 {
210 "cell_type": "markdown",
211 "metadata": {},
188 "metadata": {},
212 "source": [
189 "output_type": "display_data",
213 "```python\n",
190 "text/plain": [
214 "def foo(bar=1):\n",
191 "<matplotlib.figure.Figure at 0x10b0ecf10>"
215 " \"\"\"docstring\"\"\"\n",
216 " raise Exception(\"message\")\n",
217 "```"
218 ]
192 ]
219 }
193 }
220 ],
194 ],
221 "metadata": {}
195 "prompt_number": 9,
196 "source": [
197 "plt.hist(evs.real)"
198 ]
199 },
200 {
201 "cell_type": "markdown",
202 "metadata": {},
203 "source": [
204 "```python\n",
205 "def foo(bar=1):\n",
206 " \"\"\"docstring\"\"\"\n",
207 " raise Exception(\"message\")\n",
208 "```"
209 ]
222 }
210 }
223 ]
211 ],
212 "metadata": {},
213 "nbformat": 4,
214 "nbformat_minor": 0
224 } No newline at end of file
215 }
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@@ -1,96 +1,101 b''
1 """Python API for composing notebook elements
1 """Python API for composing notebook elements
2
2
3 The Python representation of a notebook is a nested structure of
3 The Python representation of a notebook is a nested structure of
4 dictionary subclasses that support attribute access
4 dictionary subclasses that support attribute access
5 (IPython.utils.ipstruct.Struct). The functions in this module are merely
5 (IPython.utils.ipstruct.Struct). The functions in this module are merely
6 helpers to build the structs in the right form.
6 helpers to build the structs in the right form.
7 """
7 """
8
8
9 # Copyright (c) IPython Development Team.
9 # Copyright (c) IPython Development Team.
10 # Distributed under the terms of the Modified BSD License.
10 # Distributed under the terms of the Modified BSD License.
11
11
12 from IPython.utils.ipstruct import Struct
12 from IPython.utils.ipstruct import Struct
13
13
14 # Change this when incrementing the nbformat version
14 # Change this when incrementing the nbformat version
15 nbformat = 4
15 nbformat = 4
16 nbformat_minor = 0
16 nbformat_minor = 0
17 nbformat_schema = 'nbformat.v4.schema.json'
17 nbformat_schema = 'nbformat.v4.schema.json'
18
18
19 def validate(node, ref=None):
19 def validate(node, ref=None):
20 """validate a v4 node"""
20 """validate a v4 node"""
21 from ..current import validate
21 from ..current import validate
22 return validate(node, ref=ref, version=nbformat)
22 return validate(node, ref=ref, version=nbformat)
23
23
24 class NotebookNode(Struct):
24 class NotebookNode(Struct):
25 pass
25 pass
26
26
27 def from_dict(d):
27 def from_dict(d):
28 if isinstance(d, dict):
28 if isinstance(d, dict):
29 newd = NotebookNode()
29 newd = NotebookNode()
30 for k,v in d.items():
30 for k,v in d.items():
31 newd[k] = from_dict(v)
31 newd[k] = from_dict(v)
32 return newd
32 return newd
33 elif isinstance(d, (tuple, list)):
33 elif isinstance(d, (tuple, list)):
34 return [from_dict(i) for i in d]
34 return [from_dict(i) for i in d]
35 else:
35 else:
36 return d
36 return d
37
37
38
38
39 def new_output(output_type, mime_bundle=None, **kwargs):
39 def new_output(output_type, mime_bundle=None, **kwargs):
40 """Create a new output, to go in the ``cell.outputs`` list of a code cell."""
40 """Create a new output, to go in the ``cell.outputs`` list of a code cell."""
41 output = NotebookNode(output_type=output_type, **kwargs)
41 output = NotebookNode(output_type=output_type)
42 output.update(from_dict(kwargs))
42 if mime_bundle:
43 if mime_bundle:
43 output.update(mime_bundle)
44 output.update(mime_bundle)
44 # populate defaults:
45 # populate defaults:
45 output.setdefault('metadata', NotebookNode())
46 output.setdefault('metadata', NotebookNode())
46 if output_type == 'stream':
47 if output_type == 'stream':
47 output.setdefault('name', 'stdout')
48 output.setdefault('name', 'stdout')
48 output.setdefault('text', '')
49 output.setdefault('text', '')
49 validate(output, output_type)
50 validate(output, output_type)
50 return output
51 return output
51
52
52 def new_code_cell(source='', **kwargs):
53 def new_code_cell(source='', **kwargs):
53 """Create a new code cell"""
54 """Create a new code cell"""
54 cell = NotebookNode(cell_type='code', source=source, **kwargs)
55 cell = NotebookNode(cell_type='code', source=source)
56 cell.update(from_dict(kwargs))
55 cell.setdefault('metadata', NotebookNode())
57 cell.setdefault('metadata', NotebookNode())
56 cell.setdefault('source', '')
58 cell.setdefault('source', '')
57 cell.setdefault('prompt_number', None)
59 cell.setdefault('prompt_number', None)
58 cell.setdefault('outputs', [])
60 cell.setdefault('outputs', [])
59
61
60 validate(cell, 'code_cell')
62 validate(cell, 'code_cell')
61 return cell
63 return cell
62
64
63 def new_markdown_cell(source='', **kwargs):
65 def new_markdown_cell(source='', **kwargs):
64 """Create a new markdown cell"""
66 """Create a new markdown cell"""
65 cell = NotebookNode(cell_type='markdown', source=source, **kwargs)
67 cell = NotebookNode(cell_type='markdown', source=source)
68 cell.update(from_dict(kwargs))
66 cell.setdefault('metadata', NotebookNode())
69 cell.setdefault('metadata', NotebookNode())
67
70
68 validate(cell, 'markdown_cell')
71 validate(cell, 'markdown_cell')
69 return cell
72 return cell
70
73
71 def new_heading_cell(source='', **kwargs):
74 def new_heading_cell(source='', **kwargs):
72 """Create a new heading cell"""
75 """Create a new heading cell"""
73 cell = NotebookNode(cell_type='heading', source=source, **kwargs)
76 cell = NotebookNode(cell_type='heading', source=source)
77 cell.update(from_dict(kwargs))
74 cell.setdefault('metadata', NotebookNode())
78 cell.setdefault('metadata', NotebookNode())
75 cell.setdefault('level', 1)
79 cell.setdefault('level', 1)
76
80
77 validate(cell, 'heading_cell')
81 validate(cell, 'heading_cell')
78 return cell
82 return cell
79
83
80 def new_raw_cell(source='', **kwargs):
84 def new_raw_cell(source='', **kwargs):
81 """Create a new raw cell"""
85 """Create a new raw cell"""
82 cell = NotebookNode(cell_type='raw', source=source, **kwargs)
86 cell = NotebookNode(cell_type='raw', source=source)
87 cell.update(from_dict(kwargs))
83 cell.setdefault('metadata', NotebookNode())
88 cell.setdefault('metadata', NotebookNode())
84
89
85 validate(cell, 'raw_cell')
90 validate(cell, 'raw_cell')
86 return cell
91 return cell
87
92
88 def new_notebook(**kwargs):
93 def new_notebook(**kwargs):
89 """Create a new notebook"""
94 """Create a new notebook"""
90 nb = NotebookNode(**kwargs)
95 nb = from_dict(kwargs)
91 nb.nbformat = nbformat
96 nb.nbformat = nbformat
92 nb.nbformat_minor = nbformat_minor
97 nb.nbformat_minor = nbformat_minor
93 nb.setdefault('cells', [])
98 nb.setdefault('cells', [])
94 nb.setdefault('metadata', NotebookNode())
99 nb.setdefault('metadata', NotebookNode())
95 validate(nb)
100 validate(nb)
96 return nb
101 return nb
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