From 4f5330f820a65b8667c978cfb00161e79f2d7865 Mon Sep 17 00:00:00 2001 From: James Gaboardi Date: Wed, 19 Feb 2020 10:34:04 -0500 Subject: [PATCH 01/21] pushing formatted titles --- README.md | 4 +- .../spaghetti.Network.loadnetwork.rst | 6 +++ docsrc/generated/spaghetti.Network.rst | 42 +++++++++++++++++++ .../spaghetti.Network.savenetwork.rst | 6 +++ docsrc/generated/spaghetti.PointPattern.rst | 22 ++++++++++ docsrc/generated/spaghetti.element_as_gdf.rst | 6 +++ .../generated/spaghetti.regular_lattice.rst | 6 +++ docsrc/index.rst | 4 +- 8 files changed, 92 insertions(+), 4 deletions(-) create mode 100644 docsrc/generated/spaghetti.Network.loadnetwork.rst create mode 100644 docsrc/generated/spaghetti.Network.rst create mode 100644 docsrc/generated/spaghetti.Network.savenetwork.rst create mode 100644 docsrc/generated/spaghetti.PointPattern.rst create mode 100644 docsrc/generated/spaghetti.element_as_gdf.rst create mode 100644 docsrc/generated/spaghetti.regular_lattice.rst diff --git a/README.md b/README.md index 39cc92ed..dc13b390 100644 --- a/README.md +++ b/README.md @@ -2,8 +2,8 @@ [pysal/spaghetti](http://pysal.org/spaghetti/) ================================= -SPAtial GrapHs: nETworks, Topology, & Inference -===================================== +*SPA*tial *G*rap*H*s: n*ET*works, *T*opology, & *I*nference +============================================ Spaghetti is an open-source Python library for the analysis of network-based spatial data. Originating from the `network` module in [PySAL (Python Spatial Analysis Library)](http://pysal.org), it is under active development for the inclusion of newly proposed methods for building graph-theoretic networks and the analysis of network events. This package is part of a [refactoring of PySAL](https://github.com/pysal/pysal/wiki/PEP-13:-Refactor-PySAL-Using-Submodules). diff --git a/docsrc/generated/spaghetti.Network.loadnetwork.rst b/docsrc/generated/spaghetti.Network.loadnetwork.rst new file mode 100644 index 00000000..45f9b08e --- /dev/null +++ b/docsrc/generated/spaghetti.Network.loadnetwork.rst @@ -0,0 +1,6 @@ +spaghetti.Network.loadnetwork +============================= + +.. currentmodule:: spaghetti + +.. automethod:: Network.loadnetwork \ No newline at end of file diff --git a/docsrc/generated/spaghetti.Network.rst b/docsrc/generated/spaghetti.Network.rst new file mode 100644 index 00000000..8ab75bac --- /dev/null +++ b/docsrc/generated/spaghetti.Network.rst @@ -0,0 +1,42 @@ +spaghetti.Network +================= + +.. currentmodule:: spaghetti + +.. autoclass:: Network + + + .. automethod:: __init__ + + + .. rubric:: Methods + + .. autosummary:: + + ~Network.NetworkF + ~Network.NetworkG + ~Network.NetworkK + ~Network.__init__ + ~Network.allneighbordistances + ~Network.compute_distance_to_vertices + ~Network.compute_snap_dist + ~Network.contiguityweights + ~Network.count_per_link + ~Network.distancebandweights + ~Network.enum_links_vertex + ~Network.extract_components + ~Network.extractgraph + ~Network.full_distance_matrix + ~Network.loadnetwork + ~Network.nearestneighbordistances + ~Network.savenetwork + ~Network.shortest_paths + ~Network.simulate_observations + ~Network.snapobservations + ~Network.split_arcs + + + + + + \ No newline at end of file diff --git a/docsrc/generated/spaghetti.Network.savenetwork.rst b/docsrc/generated/spaghetti.Network.savenetwork.rst new file mode 100644 index 00000000..ea76420f --- /dev/null +++ b/docsrc/generated/spaghetti.Network.savenetwork.rst @@ -0,0 +1,6 @@ +spaghetti.Network.savenetwork +============================= + +.. currentmodule:: spaghetti + +.. automethod:: Network.savenetwork \ No newline at end of file diff --git a/docsrc/generated/spaghetti.PointPattern.rst b/docsrc/generated/spaghetti.PointPattern.rst new file mode 100644 index 00000000..50a4e29e --- /dev/null +++ b/docsrc/generated/spaghetti.PointPattern.rst @@ -0,0 +1,22 @@ +spaghetti.PointPattern +====================== + +.. currentmodule:: spaghetti + +.. autoclass:: PointPattern + + + .. automethod:: __init__ + + + .. rubric:: Methods + + .. autosummary:: + + ~PointPattern.__init__ + + + + + + \ No newline at end of file diff --git a/docsrc/generated/spaghetti.element_as_gdf.rst b/docsrc/generated/spaghetti.element_as_gdf.rst new file mode 100644 index 00000000..b291895c --- /dev/null +++ b/docsrc/generated/spaghetti.element_as_gdf.rst @@ -0,0 +1,6 @@ +spaghetti.element\_as\_gdf +========================== + +.. currentmodule:: spaghetti + +.. autofunction:: element_as_gdf \ No newline at end of file diff --git a/docsrc/generated/spaghetti.regular_lattice.rst b/docsrc/generated/spaghetti.regular_lattice.rst new file mode 100644 index 00000000..6cdc66be --- /dev/null +++ b/docsrc/generated/spaghetti.regular_lattice.rst @@ -0,0 +1,6 @@ +spaghetti.regular\_lattice +========================== + +.. currentmodule:: spaghetti + +.. autofunction:: regular_lattice \ No newline at end of file diff --git a/docsrc/index.rst b/docsrc/index.rst index 383a764d..9d7930c1 100644 --- a/docsrc/index.rst +++ b/docsrc/index.rst @@ -3,8 +3,8 @@ `spaghetti` =========== -SPAtial GrapHs: nETworks, Topology, & Inference ------------------------------------------------ +**SPA**\ tial **G**\ rap\ **H**\ s: n\ **ET**\ works, **T**\ opology, & **I**\ nference +--------------------------------------------------------------------------------------- `Spaghetti` is an open-source Python library for the analysis of network-based spatial data. Originating from the `network` module in `PySAL (Python Spatial From 4625d99de618a97f352bb3909e785c8e71c73ea8 Mon Sep 17 00:00:00 2001 From: James Gaboardi Date: Wed, 19 Feb 2020 10:34:54 -0500 Subject: [PATCH 02/21] pushing formatted titles [2] --- docs/_sources/index.rst.txt | 4 ++-- docs/index.html | 4 ++-- docs/searchindex.js | 2 +- 3 files changed, 5 insertions(+), 5 deletions(-) diff --git a/docs/_sources/index.rst.txt b/docs/_sources/index.rst.txt index 383a764d..9d7930c1 100644 --- a/docs/_sources/index.rst.txt +++ b/docs/_sources/index.rst.txt @@ -3,8 +3,8 @@ `spaghetti` =========== -SPAtial GrapHs: nETworks, Topology, & Inference ------------------------------------------------ +**SPA**\ tial **G**\ rap\ **H**\ s: n\ **ET**\ works, **T**\ opology, & **I**\ nference +--------------------------------------------------------------------------------------- `Spaghetti` is an open-source Python library for the analysis of network-based spatial data. Originating from the `network` module in `PySAL (Python Spatial diff --git a/docs/index.html b/docs/index.html index 0b55b143..5715fdd2 100644 --- a/docs/index.html +++ b/docs/index.html @@ -100,7 +100,7 @@ role="menu" aria-labelledby="dLabelLocalToc"> +

I

+ + +
+

L

+ + @@ -1118,21 +1120,25 @@

Associate both the supply and demand schools with the network and plot0

+ + + +
@@ -370,8 +402,10 @@

Identifying and visualizing the parts of a networkThis notebook is a walk-through for:

  1. Instantiating a simple network with libpysal.cg.Chain objects

    2. -

  2. Working with the network components

    3. +

  3. Working with the network components and isolated rings

  4. Visualizing the components and (non)articulation vertices

    5. +

  5. Longest vs. Largest components

    6. +

  6. Extracting network components

[1]:
@@ -388,7 +422,7 @@ 
Identifying and visualizing the parts of a network
 

 
-2020-02-18T20:29:45-05:00
+2020-02-23T16:33:25-05:00
 
 CPython 3.7.3
 IPython 7.10.2
@@ -409,9 +443,13 @@ 
Identifying and visualizing the parts of a network
 import geopandas
 import libpysal
+from libpysal import examples
 from libpysal.cg import Point, Chain
 import matplotlib
+import matplotlib_scalebar
+from matplotlib_scalebar.scalebar import ScaleBar
 import spaghetti
+
 %matplotlib inline
 %watermark -w
 %watermark -iv
@@ -424,10 +462,11 @@ 
Identifying and visualizing the parts of a network
 
 watermark 2.0.2
-matplotlib 3.1.2
-spaghetti  1.4.1
-libpysal   4.2.0
-geopandas  0.6.2
+libpysal            4.2.0
+matplotlib          3.1.2
+spaghetti           1.4.2
+geopandas           0.6.2
+matplotlib_scalebar 0.6.1
 
 

 

@@ -438,6 +477,7 @@ 
Identifying and visualizing the parts of a network
 try:
     from IPython.display import set_matplotlib_formats
+
     set_matplotlib_formats("retina")
 except ImportError:
     pass
@@ -486,14 +526,14 @@ 
1. Instantiate a network from two collections of 
-
Here we get a warning because the network we created has 2 connected components

+

+
Here we get a warning because the network we created is not fully connected

 

 
[6]:
 

 

 
-ntw.network_n_components
+ntw.network_fully_connected
 

 

 

@@ -503,18 +543,18 @@ 
Here we get a warning because the network we created has 2 connected compone
 

 

 
-2
+False
 

 

 

-

-
The network components can be inspected through the network_component2arc attribute

+

+
It has 2 connected components

 

 
[7]:
 

 

 
-ntw.network_component2arc
+ntw.network_n_components
 

 

 

@@ -524,31 +564,41 @@ 
The network components can be inspected through the 
 
-{0: [(0, 1), (0, 2), (0, 3)], 1: [(4, 5), (4, 6), (4, 7)]}
+2
-
-

Extract the network arc and vertices as geopandas.GeoDataFrame objects

-
+
+

The network components can be inspected through the following attributes

+
+

network_component_labels

+
[8]:
 
-# network vertices and arcs
-vertices_df, arcs_df = spaghetti.element_as_gdf(ntw, vertices=True, arcs=True)
+ntw.network_component_labels
+
+
[8]:
+
-
-

Network component labels are found in the "comp_label" field

+
+
+array([0, 0, 0, 1, 1, 1], dtype=int32)
+
+
+
+
+

network_component2arc

[9]:
 
-arcs_df
+ntw.network_component2arc
@@ -556,143 +606,83 @@

Network component labels are found in the 
[9]:

-
-
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
idgeometrycomp_label
0(0, 1)LINESTRING (1.00000 2.00000, 0.00000 2.00000)0
1(0, 2)LINESTRING (1.00000 2.00000, 1.00000 1.00000)0
2(0, 3)LINESTRING (1.00000 2.00000, 1.00000 3.00000)0
3(4, 5)LINESTRING (2.00000 1.00000, 2.00000 0.00000)1
4(4, 6)LINESTRING (2.00000 1.00000, 3.00000 1.00000)1
5(4, 7)LINESTRING (2.00000 1.00000, 2.00000 2.00000)1
-
+
+
+{0: [(0, 1), (0, 2), (0, 3)], 1: [(4, 5), (4, 6), (4, 7)]}
+
-
-

Plot the disconnected network and symbolize the arcs bases on the value of "comp_label"

+
+

network_component_lengths

[10]:
 
-base = arcs_df.plot(column="comp_label", cmap="Set2", linewidth=5, figsize=(7, 7))
-vertices_df.plot(ax=base, color="k", markersize=100, zorder=2);
+ntw.network_component_lengths
-
+
[10]:
+
-../_images/notebooks_connected-components_16_0.png -
-
+
+{0: 3.0, 1: 3.0}
+
-
-
-

2. Add to the network created above

-
+
+

network_longest_component

+
[11]:
 
-new_lines = [
-    Chain([Point([1, 1]), Point([2, 2])]),
-    Chain([Point([0.5, 1]), Point([0.5, 0.5])]),
-    Chain([Point([0.5, 0.5]), Point([1, 0.5])]),
-    Chain([Point([2, 2.5]), Point([2.5, 2.5])]),
-    Chain([Point([2.5, 2.5]), Point([2.5, 2])]),
-]
-lines += new_lines
+ntw.network_longest_component
+
+
+
+
+
[11]:
+
+
+0
+
+
+
+

network_component_vertices

[12]:
 
-ntw = spaghetti.Network(in_data=lines)
+ntw.network_component_vertices
-
+
[12]:
+
-
+
-/Users/jgaboardi/miniconda3/envs/py3_spgh_dev/lib/python3.7/site-packages/libpysal/weights/weights.py:167: UserWarning: The weights matrix is not fully connected:
- There are 3 disconnected components.
-  warnings.warn(message)
-/Users/jgaboardi/miniconda3/envs/py3_spgh_dev/lib/python3.7/site-packages/libpysal/weights/weights.py:167: UserWarning: The weights matrix is not fully connected:
- There are 3 disconnected components.
- There are 2 islands with ids: (8, 10), (11, 13).
-  warnings.warn(message)
+{0: [0, 1, 2, 3], 1: [4, 5, 6, 7]}
-
-

Now there are 3 connected components in the network

+
+
+

network_component_vertex_count

[13]:
 
-ntw.network_n_components
+ntw.network_component_vertex_count
@@ -702,15 +692,18 @@

Now there are 3 connected components in the network 
-3
+{0: 4, 1: 4}

+
+
+

network_largest_component

[14]:
 
-ntw.network_component2arc
+ntw.network_largest_component
@@ -720,27 +713,42 @@

Now there are 3 connected components in the network 
-{0: [(0, 1), (0, 2), (0, 3), (2, 7), (4, 5), (4, 6), (4, 7)],
- 1: [(8, 9), (9, 10)],
- 2: [(11, 12), (12, 13)]}
+0

-
+
+
+

network_component_is_ring

+
[15]:
 
-# network vertices and arcs
-vertices_df, arcs_df = spaghetti.element_as_gdf(ntw, vertices=True, arcs=True)
+ntw.network_component_is_ring
+
+
+
+
+
[15]:
+
+
+{0: False, 1: False}
+
+
+
+
+

The same can be performed for graph representations, for example:

+
+

graph_component_labels

[16]:
 
-arcs_df
+ntw.graph_component_labels
@@ -748,6 +756,62 @@

Now there are 3 connected components in the network
[16]:

+
+
+array([0, 0, 0, 1, 1, 1], dtype=int32)
+
+
+
+
+

graph_component2edge

+
+
[17]:
+
+
+
+ntw.graph_component2edge
+
+
+
+
+
[17]:
+
+
+
+
+{0: [(0, 1), (0, 2), (0, 3)], 1: [(4, 5), (4, 6), (4, 7)]}
+
+
+
+
+
+

Extract the network arc and vertices as geopandas.GeoDataFrame objects

+
+
[18]:
+
+
+
+# network vertices and arcs
+vertices_df, arcs_df = spaghetti.element_as_gdf(ntw, vertices=True, arcs=True)
+
+
+
+
+
+

Network component labels are found in the "comp_label" field

+
+
[19]:
+
+
+
+vertices_df
+
+
+
+
+
[19]:
+
+
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
idgeometrycomp_label
0(0, 1)LINESTRING (1.00000 2.00000, 0.00000 2.00000)0
1(0, 2)LINESTRING (1.00000 2.00000, 1.00000 1.00000)0
2(0, 3)LINESTRING (1.00000 2.00000, 1.00000 3.00000)0
3(4, 5)LINESTRING (2.00000 1.00000, 2.00000 0.00000)1
4(4, 6)LINESTRING (2.00000 1.00000, 3.00000 1.00000)1
5(4, 7)LINESTRING (2.00000 1.00000, 2.00000 2.00000)1
+
-
-

Slice out the articulation points and non-articulation points

-
-
[18]:
+

+
Plot the disconnected network and symbolize the arcs bases on the value of "comp_label"

+

+
[21]:
 

 

 
-napts = ntw.non_articulation_points
-articulation_vertices = vertices_df[~vertices_df["id"].isin(napts)]
-non_articulation_vertices = vertices_df[vertices_df["id"].isin(napts)]
+base = arcs_df.plot(column="comp_label", cmap="Set2", linewidth=5, figsize=(7, 7))
+vertices_df.plot(ax=base, color="k", markersize=100, zorder=2)
 

 

 

-

-

-
Plot the connected components while making a distinction between articulation points and non-articulation points

-

-
[19]:
-

-

-
-base = arcs_df.plot(column="comp_label", cmap="Set2", linewidth=5, figsize=(7, 7))
-articulation_vertices.plot(ax=base, color="k", markersize=100, zorder=2)
-non_articulation_vertices.plot(ax=base, marker="s", color="k", markersize=20, zorder=2);
+

+
[21]:
 

 

+

+
+<matplotlib.axes._subplots.AxesSubplot at 0x10c9c4320>
+

 

 

 

 

 

-../_images/notebooks_connected-components_30_0.png
+../_images/notebooks_connected-components_37_1.png
 

 

 

 

 

-

-
3. Add a loop of libpysal.cg.Chain objects

+

+
2. Add to the network created above

 

-
[20]:
+
[22]:
 

 

 
 new_lines = [
-    Chain([Point([3, 1]), Point([3.25, 1.25])]),
-    Chain([Point([3.25, 1.25]), Point([3.5, 1.25])]),
-    Chain([Point([3.5, 1.25]), Point([3.75, 1])]),
-    Chain([Point([3.75, 1]), Point([3.5, .75])]),
-    Chain([Point([3.5, .75]), Point([3.25, .75])]),
-    Chain([Point([3.25, .75]), Point([3, 1])]),
+    Chain([Point([1, 1]), Point([2, 2])]),
+    Chain([Point([0.5, 1]), Point([0.5, 0.5])]),
+    Chain([Point([0.5, 0.5]), Point([1, 0.5])]),
+    Chain([Point([2, 2.5]), Point([2.5, 2.5])]),
+    Chain([Point([2.5, 2.5]), Point([2.5, 2])]),
 ]
 lines += new_lines
 

 

 

 

-
[21]:
+
[23]:
 

 

 
@@ -944,8 +1040,10 @@ 
3. Add a loop of 
+
Now there are 3 connected components in the network

 

-
[22]:
+
[24]:
 

 

 
@@ -954,7 +1052,7 @@ 
3. Add a loop of 
-
[22]:
+
[24]:
 

 

 

@@ -963,7 +1061,7 @@ 
3. Add a loop of 
-
[23]:
+
[25]:
 

 

 
@@ -972,30 +1070,18 @@ 
3. Add a loop of 
-
[23]:
+
[25]:
 

 

 

 
-{0: [(0, 1),
-  (0, 2),
-  (0, 3),
-  (2, 7),
-  (4, 5),
-  (4, 6),
-  (4, 7),
-  (6, 14),
-  (6, 18),
-  (14, 15),
-  (15, 16),
-  (16, 17),
-  (17, 18)],
+{0: [(0, 1), (0, 2), (0, 3), (2, 7), (4, 5), (4, 6), (4, 7)],
  1: [(8, 9), (9, 10)],
  2: [(11, 12), (12, 13)]}
 

 

 

-
[24]:
+
[26]:
 

 

 
@@ -1005,7 +1091,7 @@ 
3. Add a loop of 
-
[25]:
+
[27]:
 

 

 
@@ -1014,7 +1100,7 @@ 
3. Add a loop of 
-
[25]:
+
[27]:
 

 

 

@@ -1086,72 +1172,37 @@ 
3. Add a loop of 
-
Here we can see that all the new network vertices are non-articulation point

+

+

+
We can also inspect the non-articulation points in the network. Non-articulation points are vertices in a network that are degree-2. A vertex is degree-2 if, and only if, it is directly connected to only 2 other vertices.

 

-
[26]:
+
[28]:
 

 

 
@@ -1160,19 +1211,19 @@ 
Here we can see that all the new network vertices are non-articulation point
 

 

 

-
[26]:
+
[28]:
 

 

 

 
-[2, 7, 9, 12, 14, 15, 16, 17, 18]
+[9, 2, 12, 7]
 

 

 

 

 
Slice out the articulation points and non-articulation points

 

-
[27]:
+
[29]:
 

 

 
@@ -1183,24 +1234,758 @@ 
Slice out the articulation points and non-articulation points
-
The new network vertices are non-articulation points because they form a closed ring

+

+
Plot the connected components while making a distinction between articulation points and non-articulation points

 

-
[28]:
+
[30]:
 

 

 
 base = arcs_df.plot(column="comp_label", cmap="Set2", linewidth=5, figsize=(7, 7))
 articulation_vertices.plot(ax=base, color="k", markersize=100, zorder=2)
-non_articulation_vertices.plot(ax=base, marker="s", color="k", markersize=20, zorder=2);
+non_articulation_vertices.plot(ax=base, marker="s", color="k", markersize=20, zorder=2)
+

+

+

+

+
[30]:
 

 

+

+
+<matplotlib.axes._subplots.AxesSubplot at 0x12ce86ef0>
+

+

+

+

+

+

+../_images/notebooks_connected-components_51_1.png
+

+

+

+

+

+

+
3. Add a loop of libpysal.cg.Chain objects

+

+
[31]:
+

+

+
+new_lines = [
+    Chain([Point([3, 1]), Point([3.25, 1.25])]),
+    Chain([Point([3.25, 1.25]), Point([3.5, 1.25])]),
+    Chain([Point([3.5, 1.25]), Point([3.75, 1])]),
+    Chain([Point([3.75, 1]), Point([3.5, 0.75])]),
+    Chain([Point([3.5, 0.75]), Point([3.25, 0.75])]),
+    Chain([Point([3.25, 0.75]), Point([3, 1])]),
+]
+lines += new_lines
+

+

+

+

+
[32]:
+

+

+
+ntw = spaghetti.Network(in_data=lines)
+

+

+

+

+

+

+

+
+/Users/jgaboardi/miniconda3/envs/py3_spgh_dev/lib/python3.7/site-packages/libpysal/weights/weights.py:167: UserWarning: The weights matrix is not fully connected:
+ There are 3 disconnected components.
+  warnings.warn(message)
+/Users/jgaboardi/miniconda3/envs/py3_spgh_dev/lib/python3.7/site-packages/libpysal/weights/weights.py:167: UserWarning: The weights matrix is not fully connected:
+ There are 3 disconnected components.
+ There are 2 islands with ids: (8, 10), (11, 13).
+  warnings.warn(message)
+

+

+

+
[33]:
+

+

+
+ntw.network_n_components
+

+

+

+

+
[33]:
+

+

+

+
+3
+

+

+

+
[34]:
+

+

+
+ntw.network_component2arc
+

+

+

+

+
[34]:
+

+

+

+
+{0: [(0, 1),
+  (0, 2),
+  (0, 3),
+  (2, 7),
+  (4, 5),
+  (4, 6),
+  (4, 7),
+  (6, 14),
+  (6, 18),
+  (14, 15),
+  (15, 16),
+  (16, 17),
+  (17, 18)],
+ 1: [(8, 9), (9, 10)],
+ 2: [(11, 12), (12, 13)]}
+

+

+

+
[35]:
+

+

+
+# network vertices and arcs
+vertices_df, arcs_df = spaghetti.element_as_gdf(ntw, vertices=True, arcs=True)
+

+

+

+

+
[36]:
+

+

+
+arcs_df
+

+

+

+

+
[36]:
+

+

+

+

+
+
+  
+    
+      
+      
+      
+      
+    
+  
+  
+    
+      
+      
+      
+      
+    
+    
+      
+      
+      
+      
+    
+    
+      
+      
+      
+      
+    
+    
+      
+      
+      
+      
+    
+    
+      
+      
+      
+      
+    
+    
+      
+      
+      
+      
+    
+    
+      
+      
+      
+      
+    
+    
+      
+      
+      
+      
+    
+    
+      
+      
+      
+      
+    
+    
+      
+      
+      
+      
+    
+    
+      
+      
+      
+      
+    
+    
+      
+      
+      
+      
+    
+    
+      
+      
+      
+      
+    
+    
+      
+      
+      
+      
+    
+    
+      
+      
+      
+      
+    
+    
+      
+      
+      
+      
+    
+    
+      
+      
+      
+      
+    
+  
+
idgeometrycomp_label
0(0, 1)LINESTRING (1.00000 2.00000, 0.00000 2.00000)0
1(0, 2)LINESTRING (1.00000 2.00000, 1.00000 1.00000)0
2(0, 3)LINESTRING (1.00000 2.00000, 1.00000 3.00000)0
3(2, 7)LINESTRING (1.00000 1.00000, 2.00000 2.00000)0
4(4, 5)LINESTRING (2.00000 1.00000, 2.00000 0.00000)0
5(4, 6)LINESTRING (2.00000 1.00000, 3.00000 1.00000)0
6(4, 7)LINESTRING (2.00000 1.00000, 2.00000 2.00000)0
7(6, 14)LINESTRING (3.00000 1.00000, 3.25000 1.25000)0
8(6, 18)LINESTRING (3.00000 1.00000, 3.25000 0.75000)0
9(8, 9)LINESTRING (0.50000 1.00000, 0.50000 0.50000)1
10(9, 10)LINESTRING (0.50000 0.50000, 1.00000 0.50000)1
11(11, 12)LINESTRING (2.00000 2.50000, 2.50000 2.50000)2
12(12, 13)LINESTRING (2.50000 2.50000, 2.50000 2.00000)2
13(14, 15)LINESTRING (3.25000 1.25000, 3.50000 1.25000)0
14(15, 16)LINESTRING (3.50000 1.25000, 3.75000 1.00000)0
15(16, 17)LINESTRING (3.75000 1.00000, 3.50000 0.75000)0
16(17, 18)LINESTRING (3.50000 0.75000, 3.25000 0.75000)0

+

+

+

+
Here we can see that all the new network vertices are non-articulation point

+

+
[37]:
+

+

+
+ntw.non_articulation_points
+

+

+

+

+
[37]:
+

+

+

+
+[2, 7, 9, 12, 14, 15, 16, 17, 18]
+

+

+

+

+
Slice out the articulation points and non-articulation points

+

+
[38]:
+

+

+
+napts = ntw.non_articulation_points
+articulation_vertices = vertices_df[~vertices_df["id"].isin(napts)]
+non_articulation_vertices = vertices_df[vertices_df["id"].isin(napts)]
+

+

+

+

+

+
The new network vertices are non-articulation points because they form a closed ring

+

+
[39]:
+

+

+
+base = arcs_df.plot(column="comp_label", cmap="Set2", linewidth=5, figsize=(7, 7))
+articulation_vertices.plot(ax=base, color="k", markersize=100, zorder=2)
+non_articulation_vertices.plot(ax=base, marker="s", color="k", markersize=20, zorder=2)
+

+

+

+

+
[39]:
+

+

+

+
+<matplotlib.axes._subplots.AxesSubplot at 0x12d5e78d0>
+

+

+

+

+

+

+../_images/notebooks_connected-components_64_1.png
+

+

+

+

+

+

+
4. Longest vs. largest components — cross vs. hexagon

+

+
[40]:
+

+

+
+cross = [
+    Chain([Point([0, 5]), Point([5, 5]), Point([5, 10])]),
+    Chain([Point([5, 0]), Point([5, 5]), Point([10, 5])]),
+]
+hexagon = [
+    Chain(
+        [
+            Point([12, 5]),
+            Point([13, 6]),
+            Point([14, 6]),
+            Point([15, 5]),
+            Point([14, 4]),
+            Point([13, 4]),
+            Point([12, 5]),
+        ]
+    ),
+]
+lines = cross + hexagon
+

+

+

+

+
[41]:
+

+

+
+ntw = spaghetti.Network(in_data=lines)
+

+

+

+

+

+

+

+
+/Users/jgaboardi/miniconda3/envs/py3_spgh_dev/lib/python3.7/site-packages/libpysal/weights/weights.py:167: UserWarning: The weights matrix is not fully connected:
+ There are 2 disconnected components.
+  warnings.warn(message)
+

+

+

+
[42]:
+

+

+
+# network vertices and arcs
+vertices_df, arcs_df = spaghetti.element_as_gdf(ntw, vertices=True, arcs=True)
+

+

+

+

+
[43]:
+

+

+
+base = arcs_df.plot(column="comp_label", cmap="Set2", linewidth=5, figsize=(7, 7))
+vertices_df.plot(ax=base, color="k", markersize=100, zorder=2)
+

+

+

+

+
[43]:
+

+

+

+
+<matplotlib.axes._subplots.AxesSubplot at 0x12d92c4a8>
+

+

+

+

+

+

+../_images/notebooks_connected-components_70_1.png
+

+

+

+
The longest component is not necessarily the largest

+

+
This is because in spaghetti the largest compnent equates to the most vertices

+

+
[44]:
+

+

+
+clongest = ntw.network_longest_component
+clength = round(ntw.network_component_lengths[clongest], 5)
+clargest = ntw.network_largest_component
+cverts = ntw.network_component_vertex_count[clargest]
+print("The longest component is %s at %s units of distance." % (clongest, clength))
+print("The largest component is %s with %s vertices." % (clargest, cverts))
+

+

+

+

+

+

+

+
+The longest component is 0 at 20.0 units of distance.
+The largest component is 1 with 6 vertices.
+

+

+

+

+

+

+
5. Extracting components

+

+
Extract the longest component

+

+
[45]:
+

+

+
+longest = spaghetti.extract_component(ntw, ntw.network_longest_component)
+

+

+

+

+
[46]:
+

+

+
+# network vertices and arcs
+vertices_df, arcs_df = spaghetti.element_as_gdf(longest, vertices=True, arcs=True)
+

+

+

+

+
[47]:
+

+

+
+vertices_df
+

+

+

+

+
[47]:
+

+

+

+

+
+
+  
+    
+      
+      
+      
+      
+    
+  
+  
+    
+      
+      
+      
+      
+    
+    
+      
+      
+      
+      
+    
+    
+      
+      
+      
+      
+    
+    
+      
+      
+      
+      
+    
+    
+      
+      
+      
+      
+    
+  
+
idgeometrycomp_label
00POINT (0.00000 5.00000)0
11POINT (5.00000 5.00000)0
22POINT (5.00000 10.00000)0
33POINT (5.00000 0.00000)0
44POINT (10.00000 5.00000)0

+

+

+

+
[48]:
+

+

+
+base = arcs_df.plot(column="comp_label", cmap="Set2", linewidth=5, figsize=(7, 7))
+vertices_df.plot(ax=base, color="k", markersize=100, zorder=2)
+

+

+

+

+
[48]:
+

+

+

+
+<matplotlib.axes._subplots.AxesSubplot at 0x12dbef128>
+

+

+

+

+

+

+../_images/notebooks_connected-components_77_1.png
+

+

+

+

+
Extract the largest component and plot

+

+
[49]:
+

+

+
+largest = spaghetti.extract_component(ntw, ntw.network_largest_component)
+# network vertices and arcs
+vertices_df, arcs_df = spaghetti.element_as_gdf(largest, vertices=True, arcs=True)
+base = arcs_df.plot(column="comp_label", cmap="Set2", linewidth=5, figsize=(7, 7))
+vertices_df.plot(ax=base, color="k", markersize=100, zorder=2)
+

+

+

+

+
[49]:
+

+

+

+
+<matplotlib.axes._subplots.AxesSubplot at 0x12de67da0>
+

+

+

+

+

+

+../_images/notebooks_connected-components_79_1.png
+

+

+

+

+
Empirical Example — New Haven, Connecticut

+

+
[50]:
+

+

+
+newhaven = libpysal.examples.get_path("newhaven_nework.shp")
+ntw = spaghetti.Network(in_data=newhaven, extractgraph=False)
+

+

+

+

+

+

+

+
+/Users/jgaboardi/miniconda3/envs/py3_spgh_dev/lib/python3.7/site-packages/libpysal/weights/weights.py:167: UserWarning: The weights matrix is not fully connected:
+ There are 21 disconnected components.
+ There are 7 islands with ids: (1494, 1495), (2129, 2130), (3756, 3757), (8669, 8670), (9611, 9612), (11152, 11153), (11228, 11229).
+  warnings.warn(message)
+

+

+

+

+
Extract the longest component

+

+
[51]:
+

+

+
+longest = spaghetti.extract_component(ntw, ntw.network_longest_component)
+

+

+

+

+
[52]:
+

+

+
+# network vertices and arcs
+vertices_df, arcs_df = spaghetti.element_as_gdf(ntw, vertices=True, arcs=True)
+arcs_df.crs = "epsg:4269"
+arcs_df = arcs_df.to_crs("epsg:6433")
+

+

+

+

+
[53]:
+

+

+
+# longest vertices and arcs
+lc_vertices, lc_arcs = spaghetti.element_as_gdf(longest, vertices=True, arcs=True)
+lc_arcs.crs = "epsg:4269"
+lc_arcs = lc_arcs.to_crs("epsg:6433")
+

+

+

+

+

+
Filter non-longest component arcs

+

+
[54]:
+

+

+
+nlc = ntw.network_longest_component
+arcs_df = arcs_df[arcs_df.comp_label != nlc]
+ocomp = list(set(ntw.network_component_labels))
+ocomp.remove(nlc)
+

+

+

+

+

+
Plot network arcs

+

+
[55]:
+

+

+
+def legend(objects):
+    """Add a legend to a plot"""
+    patches = make_patches(*objects)
+    kws = {"fancybox": True, "framealpha": 0.85, "fontsize": "x-large"}
+    kws.update({"loc": "lower left", "labelspacing": 2.0, "borderpad": 2.0})
+    legend = matplotlib.pyplot.legend(handles=patches, **kws)
+    legend.get_frame().set_facecolor("white")
+

+

+

+

+
[56]:
+

+

+
+def make_patches(comp_type, in_comp, oc):
+    """Create patches for legend"""
+    labels_colors_alpha = [
+        ["%s component: %s" % (comp_type.capitalize(), in_comp), "k", 0.5],
+        ["Other components: %s-%s" % (oc[0], oc[1]), "r", 1],
+    ]
+    patches = []
+    for l, c, a in labels_colors_alpha:
+        p = matplotlib.lines.Line2D([], [], lw=2, label=l, c=c, alpha=a)
+        patches.append(p)
+    return patches
+

+

+

+

+
[57]:
+

+

+
+base = arcs_df.plot(color="r", alpha=1, linewidth=3, figsize=(10, 10))
+lc_arcs.plot(ax=base, color="k", linewidth=2, alpha=0.5, zorder=2)
+# add legend
+legend(("longest", nlc, (ocomp[0], ocomp[-1])))
+# add scale bar
+scalebar = ScaleBar(3, units="m", location="lower right")
+base.add_artist(scalebar)
+

+

+

+

+
[57]:
+

+

+

+
+<matplotlib_scalebar.scalebar.ScaleBar at 0x12fdc3d30>
+

 

 

 

 

 

-../_images/notebooks_connected-components_43_0.png
+../_images/notebooks_connected-components_91_1.png
 

 

 

diff --git a/docs/notebooks/facility-location.html b/docs/notebooks/facility-location.html
index 168f5dae..2224b3fb 100644
--- a/docs/notebooks/facility-location.html
+++ b/docs/notebooks/facility-location.html
@@ -3,7 +3,7 @@
 
   
     
-    Demostrating network-based optimal facility location modeling — spaghetti v1.4.1 Manual
+    Demostrating network-based optimal facility location modeling — spaghetti v1.4.2 Manual
     
     
     
@@ -42,7 +42,7 @@
         
         
           spaghetti
-        1.4.1
+        1.4.2
       

 
         

@@ -394,7 +394,7 @@ 
Integrating pys
 

 

 
-2020-02-18T21:06:37-05:00
+2020-02-23T16:45:36-05:00
 
 CPython 3.7.3
 IPython 7.10.2
@@ -445,15 +445,15 @@ 
Integrating pys
 

 
 watermark 2.0.2
-ortools             7.4.7247
-matplotlib          3.1.2
 libpysal            4.2.0
-spaghetti           1.4.1
-geopandas           0.6.2
+matplotlib          3.1.2
+ortools             7.4.7247
+spaghetti           1.4.2
 shapely             1.7.0
-matplotlib_scalebar 0.6.1
-numpy               1.17.3
 seaborn             0.9.0
+numpy               1.17.3
+matplotlib_scalebar 0.6.1
+geopandas           0.6.2
 
 

 

@@ -2242,7 +2242,7 @@ 
3.1 Location Set Covering Problem
 
-Solve Time: 0.0029166725 minutes
+Solve Time: 0.0032166731000000002 minutes
 Obj. Value: 4.0 facilities needed for total coverage within a 1000.000000 meter service radius
 --- 0 clients are not covered
 --- 400 clients are covered by 1 facility
@@ -2297,7 +2297,7 @@ 
3.2 p-median Problem
 
-Solve Time: 0.0131333596 minutes
+Solve Time: 0.0135166937 minutes
 Obj. Value: 898919.1804203619 total weighted distance with 3 selected facilities
 Mean weighted distance per person: 562.527647
 

@@ -2346,7 +2346,7 @@ 
3.3 p-center Problem
 
-Solve Time: 0.0509334352 minutes
+Solve Time: 0.0540334414 minutes
 Obj. Value: 1024.6199825236833 worst case distance with 3 selected facilities
 

 

@@ -2396,7 +2396,7 @@ 
3.4 Maximal Covering Location Problem
 
-Solve Time: 0.0033666734000000003 minutes
+Solve Time: 0.0043666754000000006 minutes
 Obj. Value: 1312.0 residents within 800.000000 meters of 3 selected facilities
 Percent of 1598 clients covered: 82.102628
 --- 73 clients are not covered
@@ -2462,86 +2462,86 @@ 
3.6 Distance analytics matrix
 
+        }
{'abs_min': 'Absolute min dist to assigned facility', 'abs_max': 'Absolute max dist to assigned facility', 'mean_means': 'Mean of mean dists per client to assigned facility', 'mean_stds': 'Mean of StD dists per client to assigned facility'}    
                stats        lscp        pmp        pcp        mclp    

-                        
-                        
-                        
-                        
-                        
-                        
+                        
+                        
+                        
+                        
+                        
+                        
-                        
-                        
-                        
-                        
-                        
-                        
+                        
+                        
+                        
+                        
+                        
+                        
-                        
-                        
-                        
-                        
-                        
-                        
+                        
+                        
+                        
+                        
+                        
+                        
-                        
-                        
-                        
-                        
-                        
-                        
+                        
+                        
+                        
+                        
+                        
+                        
{'abs_min': 'Absolute min dist to assigned facility', 'abs_max': 'Absolute max dist to assigned facility', 'mean_means': 'Mean of mean dists per client to assigned facility', 'mean_stds': 'Mean of StD dists per client to assigned facility'}    
                stats        lscp        pmp        pcp        mclp    

                 
0abs_min0.9189220.91892212.74550.9189220abs_min0.9189220.91892212.74550.918922
             

             
1abs_max998.5261224.281024.62799.2281abs_max998.5261224.281024.62799.228
             

             
2mean_means645.324565.138591.621497.5172mean_means645.324565.138591.621497.517
             

             
3mean_stds245.521263.8244.652214.7083mean_stds245.521263.8244.652214.708
             

     

 

@@ -2581,270 +2581,270 @@ 
3.7 Selection matrix
 

 
+        }
    
                lscp        pmp        pcp        mclp        $\sum$        $\%$    

-                        
-                        
-                        
-                        
-                        
-                        
-                        
+                        
+                        
+                        
+                        
+                        
+                        
+                        
-                        
-                        
-                        
-                        
-                        
-                        
-                        
+                        
+                        
+                        
+                        
+                        
+                        
+                        
-                        
-                        
-                        
-                        
-                        
-                        
-                        
+                        
+                        
+                        
+                        
+                        
+                        
+                        
-                        
-                        
-                        
-                        
-                        
-                        
-                        
+                        
+                        
+                        
+                        
+                        
+                        
+                        
-                        
-                        
-                        
-                        
-                        
-                        
-                        
+                        
+                        
+                        
+                        
+                        
+                        
+                        
-                        
-                        
-                        
-                        
-                        
-                        
-                        
+                        
+                        
+                        
+                        
+                        
+                        
+                        
-                        
-                        
-                        
-                        
-                        
-                        
-                        
+                        
+                        
+                        
+                        
+                        
+                        
+                        
-                        
-                        
-                        
-                        
-                        
-                        
-                        
+                        
+                        
+                        
+                        
+                        
+                        
+                        
-                        
-                        
-                        
-                        
-                        
-                        
-                        
+                        
+                        
+                        
+                        
+                        
+                        
+                        
-                        
-                        
-                        
-                        
-                        
-                        
-                        
+                        
+                        
+                        
+                        
+                        
+                        
+                        
-                        
-                        
-                        
-                        
-                        
-                        
-                        
+                        
+                        
+                        
+                        
+                        
+                        
+                        
-                        
-                        
-                        
-                        
-                        
-                        
-                        
+                        
+                        
+                        
+                        
+                        
+                        
+                        
-                        
-                        
-                        
-                        
-                        
-                        
-                        
+                        
+                        
+                        
+                        
+                        
+                        
+                        
-                        
-                        
-                        
-                        
-                        
-                        
-                        
+                        
+                        
+                        
+                        
+                        
+                        
+                        
    
                lscp        pmp        pcp        mclp        $\sum$        $\%$    

                 
y[0]$\notin$$\notin$$\notin$$\notin$00y[0]$\notin$$\notin$$\notin$$\notin$00
             

             
y[1]$\notin$$\notin$$\in$$\notin$125y[1]$\notin$$\notin$$\in$$\notin$125
             

             
y[2]$\notin$$\notin$$\notin$$\notin$00y[2]$\notin$$\notin$$\notin$$\notin$00
             

             
y[3]$\in$$\notin$$\in$$\notin$250y[3]$\in$$\notin$$\in$$\notin$250
             

             
y[4]$\in$$\in$$\notin$$\in$375y[4]$\in$$\in$$\notin$$\in$375
             

             
y[5]$\notin$$\notin$$\notin$$\notin$00y[5]$\notin$$\notin$$\notin$$\notin$00
             

             
y[6]$\in$$\in$$\in$$\in$4100y[6]$\in$$\in$$\in$$\in$4100
             

             
y[7]$\notin$$\notin$$\notin$$\notin$00y[7]$\notin$$\notin$$\notin$$\notin$00
             

             
y[8]$\notin$$\notin$$\notin$$\notin$00y[8]$\notin$$\notin$$\notin$$\notin$00
             

             
y[9]$\in$$\notin$$\notin$$\notin$125y[9]$\in$$\notin$$\notin$$\notin$125
             

             
y[10]$\notin$$\notin$$\notin$$\notin$00y[10]$\notin$$\notin$$\notin$$\notin$00
             

             
y[11]$\notin$$\notin$$\notin$$\notin$00y[11]$\notin$$\notin$$\notin$$\notin$00
             

             
y[12]$\notin$$\in$$\notin$$\in$250y[12]$\notin$$\in$$\notin$$\in$250
             

             
y[13]$\notin$$\notin$$\notin$$\notin$00y[13]$\notin$$\notin$$\notin$$\notin$00
             

     

 

diff --git a/docs/notebooks/network-analysis.html b/docs/notebooks/network-analysis.html
index 7d0f60c6..46b7e743 100644
--- a/docs/notebooks/network-analysis.html
+++ b/docs/notebooks/network-analysis.html
@@ -3,7 +3,7 @@
 
   
     
-    Spatial network analysis — spaghetti v1.4.1 Manual
+    Spatial network analysis — spaghetti v1.4.2 Manual
     
     
     
@@ -42,7 +42,7 @@
         
         
           spaghetti
-        1.4.1
+        1.4.2
       

 
         

@@ -392,7 +392,7 @@ 
Demonstrating network representation and cluster detection
 
-2020-02-18T21:01:44-05:00
+2020-02-23T16:45:27-05:00
 
 CPython 3.7.3
 IPython 7.10.2
@@ -433,11 +433,11 @@ 
Demonstrating network representation and cluster detection
 watermark 2.0.2
 matplotlib_scalebar 0.6.1
-esda                2.1.1
-spaghetti           1.4.1
+spaghetti           1.4.2
+numpy               1.17.3
 matplotlib          3.1.2
 libpysal            4.2.0
-numpy               1.17.3
+esda                2.1.1
 
 

 

@@ -498,8 +498,8 @@ 
2. Allocating observations (snapping points) to a network:
 
-{'crimes': <spaghetti.network.PointPattern at 0x1245ea240>,
- 'schools': <spaghetti.network.PointPattern at 0x1246402b0>}
+{'crimes': <spaghetti.network.PointPattern at 0x10ab57fd0>,
+ 'schools': <spaghetti.network.PointPattern at 0x124992048>}
 

 

 
Attributes for every point pattern

diff --git a/docs/notebooks/quickstart.html b/docs/notebooks/quickstart.html
index 823d49d8..0a8d6cd8 100644
--- a/docs/notebooks/quickstart.html
+++ b/docs/notebooks/quickstart.html
@@ -3,7 +3,7 @@
 
   
     
-    Quickstart — spaghetti v1.4.1 Manual
+    Quickstart — spaghetti v1.4.2 Manual
     
     
     
@@ -42,7 +42,7 @@
         
         
           spaghetti
-        1.4.1
+        1.4.2
       

 
         

@@ -388,7 +388,7 @@ 
Creating and visualizing a 
 

 
-2020-02-18T20:17:05-05:00
+2020-02-23T16:44:44-05:00
 
 CPython 3.7.3
 IPython 7.10.2
@@ -428,10 +428,10 @@ 
Creating and visualizing a 
 watermark 2.0.2
 geopandas           0.6.2
-matplotlib          3.1.2
-spaghetti           1.4.1
-libpysal            4.2.0
+spaghetti           1.4.2
 matplotlib_scalebar 0.6.1
+libpysal            4.2.0
+matplotlib          3.1.2
 
 

 

diff --git a/docs/notebooks/shortest-path-visualization.html b/docs/notebooks/shortest-path-visualization.html
index 05c3a30a..c3ee3a25 100644
--- a/docs/notebooks/shortest-path-visualization.html
+++ b/docs/notebooks/shortest-path-visualization.html
@@ -3,7 +3,7 @@
 
   
     
-    Generating regular lattices and visualizing shortest paths — spaghetti v1.4.1 Manual
+    Generating regular lattices and visualizing shortest paths — spaghetti v1.4.2 Manual
     
     
     
@@ -42,7 +42,7 @@
         
         
           spaghetti
-        1.4.1
+        1.4.2
       

 
         

@@ -396,7 +396,7 @@ 
Creating data for testing and demonstrating routes
 

 
-2020-02-18T20:40:46-05:00
+2020-02-23T16:44:06-05:00
 
 CPython 3.7.3
 IPython 7.10.2
@@ -433,9 +433,9 @@ 
Creating data for testing and demonstrating routes
 
 watermark 2.0.2
-matplotlib 3.1.2
 libpysal   4.2.0
-spaghetti  1.4.1
+matplotlib 3.1.2
+spaghetti  1.4.2
 
 

 

@@ -651,9 +651,9 @@ 
1.6. Generate shortest paths as <
 

 

 
-[[(0, 1), <libpysal.cg.shapes.Chain at 0x1235e9f28>],
- [(0, 2), <libpysal.cg.shapes.Chain at 0x123621c88>],
- [(1, 2), <libpysal.cg.shapes.Chain at 0x123621eb8>]]
+[[(0, 1), <libpysal.cg.shapes.Chain at 0x12525cef0>],
+ [(0, 2), <libpysal.cg.shapes.Chain at 0x1254604a8>],
+ [(1, 2), <libpysal.cg.shapes.Chain at 0x1262449e8>]]
 

 

 

diff --git a/docs/notebooks/transportation-problem.html b/docs/notebooks/transportation-problem.html
index 094e0a14..041957c2 100644
--- a/docs/notebooks/transportation-problem.html
+++ b/docs/notebooks/transportation-problem.html
@@ -3,7 +3,7 @@
 
   
     
-    The Transportation Problem — spaghetti v1.4.1 Manual
+    The Transportation Problem — spaghetti v1.4.2 Manual
     
     
     
@@ -42,7 +42,7 @@
         
         
           spaghetti
-        1.4.1
+        1.4.2
       

 
         

@@ -398,7 +398,7 @@ 
Integrating pys
 

 

 
-2020-02-18T20:54:04-05:00
+2020-02-23T16:43:34-05:00
 
 CPython 3.7.3
 IPython 7.10.2
@@ -440,12 +440,12 @@ 
Integrating pys
 
 Using Python-MIP package version 1.6.8
 watermark 2.0.2
-matplotlib_scalebar 0.6.1
-geopandas           0.6.2
-spaghetti           1.4.1
 matplotlib          3.1.2
-numpy               1.17.3
 mip                 1.6.8
+numpy               1.17.3
+matplotlib_scalebar 0.6.1
+geopandas           0.6.2
+spaghetti           1.4.2
 
 

 

@@ -1106,11 +1106,13 @@ 
Associate both the supply and demand schools with the network and plot

id geometrycomp_label
supply snapped
0 POINT (221677.280 268183.579)0
1 1 POINT (221538.890 268184.326)0
2 2 POINT (221847.381 267926.950)0
3 3 POINT (221406.647 268046.397)0
@@ -1177,11 +1183,13 @@

Associate both the supply and demand schools with the network and plot id geometry + comp_label demand snapped + @@ -1189,21 +1197,25 @@

Associate both the supply and demand schools with the network and plot0 0 POINT (221052.520 268129.805) + 0 1 1 POINT (221525.970 267187.138) + 0 2 2 POINT (220504.172 268087.247) + 0 3 3 POINT (221292.004 267684.336) + 0 @@ -1334,6 +1346,7 @@

Create decision variables for the supply locations and amount to be supplied id geometry + comp_label dv s_i @@ -1343,6 +1356,7 @@

Create decision variables for the supply locations and amount to be supplied + @@ -1350,6 +1364,7 @@

Create decision variables for the supply locations and amount to be supplied 0 0 POINT (221614.608 268182.322) + 0 s_0 20 @@ -1357,6 +1372,7 @@

Create decision variables for the supply locations and amount to be supplied 1 1 POINT (221542.156 268184.287) + 0 s_1 30 @@ -1364,6 +1380,7 @@

Create decision variables for the supply locations and amount to be supplied 2 2 POINT (221847.332 267982.491) + 0 s_2 15 @@ -1371,6 +1388,7 @@

Create decision variables for the supply locations and amount to be supplied 3 3 POINT (221406.289 267990.060) + 0 s_3 35 @@ -1417,6 +1435,7 @@

Create decision variables for the demand locations and amount to be received id geometry + comp_label dv d_j @@ -1426,6 +1445,7 @@

Create decision variables for the demand locations and amount to be received + @@ -1433,6 +1453,7 @@

Create decision variables for the demand locations and amount to be received 0 0 POINT (221121.722 268130.726) + 0 d_0 5 @@ -1440,6 +1461,7 @@

Create decision variables for the demand locations and amount to be received 1 1 POINT (221474.120 267187.725) + 0 d_1 45 @@ -1447,6 +1469,7 @@

Create decision variables for the demand locations and amount to be received 2 2 POINT (220452.594 268086.776) + 0 d_2 10 @@ -1454,6 +1477,7 @@

Create decision variables for the demand locations and amount to be received 3 3 POINT (221235.286 267684.289) + 0 d_3 40 diff --git a/docs/notebooks/tsp.html b/docs/notebooks/tsp.html index 324c9fc8..5f128488 100644 --- a/docs/notebooks/tsp.html +++ b/docs/notebooks/tsp.html @@ -3,7 +3,7 @@ - The Traveling Sales(man)(person) Problem — TSP — spaghetti v1.4.1 Manual + The Traveling Sales(man)(person) Problem — TSP — spaghetti v1.4.2 Manual @@ -42,7 +42,7 @@ spaghetti - 1.4.1 + 1.4.2
@@ -391,7 +391,7 @@

Integrating pys 

-2020-02-18T20:36:58-05:00
+2020-02-23T16:43:04-05:00
 
 CPython 3.7.3
 IPython 7.10.2
@@ -431,11 +431,11 @@ 
Integrating pys
 

 
 watermark 2.0.2
-pulp                1.6.8
-numpy               1.17.3
 geopandas           0.6.2
 matplotlib_scalebar 0.6.1
-spaghetti           1.4.1
+pulp                1.6.8
+spaghetti           1.4.2
+numpy               1.17.3
 matplotlib          3.1.2
 
 

@@ -1030,6 +1030,7 @@ 
Instantiate a network object
       id
       geometry
+      comp_label
       dv
     
   
@@ -1397,84 +1419,98 @@ 
Create decision variables for the crime scene locations0
       0
       POINT (221651.779 266962.433)
+      0
       x_0
     
     
       1
       1
       POINT (220774.565 266967.614)
+      0
       x_1
     
     
       2
       2
       POINT (220962.017 267280.644)
+      0
       x_2
     
     
       3
       3
       POINT (220772.431 267386.410)
+      0
       x_3
     
     
       4
       4
       POINT (220796.815 267545.820)
+      0
       x_4
     
     
       5
       5
       POINT (221500.903 267697.915)
+      0
       x_5
     
     
       6
       6
       POINT (220474.032 267730.529)
+      0
       x_6
     
     
       7
       7
       POINT (221677.382 267761.314)
+      0
       x_7
     
     
       8
       8
       POINT (221154.041 267919.810)
+      0
       x_8
     
     
       9
       9
       POINT (221852.947 268049.045)
+      0
       x_9
     
     
       10
       10
       POINT (220775.174 268149.629)
+      0
       x_10
     
     
       11
       11
       POINT (220472.813 268197.482)
+      0
       x_11
     
     
       12
       12
       POINT (220514.875 268478.203)
+      0
       x_12
     
     
       13
       13
       POINT (222083.681 268590.979)
+      0
       x_13
     
   
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@@ -3,7 +3,7 @@
 
   
     
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+    References — spaghetti v1.4.2 Manual
     
     
     
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           spaghetti
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\ No newline at end of file diff --git a/docs/tutorials.html b/docs/tutorials.html index 38bf7569..7eccd70d 100644 --- a/docs/tutorials.html +++ b/docs/tutorials.html @@ -3,7 +3,7 @@ - Tutorials — spaghetti v1.4.1 Manual + Tutorials — spaghetti v1.4.2 Manual @@ -42,7 +42,7 @@ spaghetti - 1.4.1 + 1.4.2
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z_rDtKi4#YLr~U5+Tk3d@(7*^sh!=;u1?^7U8yOc%1$z519PHV2?d`g25GlWn0p3;X HLuLO2YkKY* literal 0 HcmV?d00001 diff --git a/docsrc/index.rst b/docsrc/index.rst index 9d7930c1..bb3e7ef2 100644 --- a/docsrc/index.rst +++ b/docsrc/index.rst @@ -1,5 +1,6 @@ .. documentation master file + `spaghetti` =========== @@ -21,25 +22,42 @@ and usage tutorials are provided here through the links above.
- - + +
Spatial Network Analysis
- - + +
Optimal Facility Location
@@ -77,6 +95,17 @@ If you use PySAL-spaghetti in a scientific publication, we would appreciate usin } +.. raw:: html + + PySAL Logo + + .. toctree:: :hidden: :maxdepth: 3 diff --git a/docsrc/notebooks/connected-components.ipynb b/docsrc/notebooks/connected-components.ipynb index a5d4db22..2bf7115f 100644 --- a/docsrc/notebooks/connected-components.ipynb +++ b/docsrc/notebooks/connected-components.ipynb @@ -19,8 +19,10 @@ "**This notebook is a walk-through for:**\n", "\n", "1. Instantiating a simple network with `libpysal.cg.Chain` objects\n", - "2. Working with the network components\n", - "3. Visualizing the components and (non)articulation vertices" + "2. Working with the network components and isolated rings\n", + "3. Visualizing the components and (non)articulation vertices\n", + "4. Longest vs. Largest components\n", + "5. Extracting network components" ] }, { @@ -28,8 +30,8 @@ "execution_count": 1, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:29:45.067202Z", - "start_time": "2020-02-19T01:29:44.649468Z" + "end_time": "2020-02-23T21:33:25.091079Z", + "start_time": "2020-02-23T21:33:24.794921Z" } }, "outputs": [ @@ -37,7 +39,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "2020-02-18T20:29:45-05:00\n", + "2020-02-23T16:33:25-05:00\n", "\n", "CPython 3.7.3\n", "IPython 7.10.2\n", @@ -62,8 +64,8 @@ "execution_count": 2, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:29:46.875460Z", - "start_time": "2020-02-19T01:29:45.076717Z" + "end_time": "2020-02-23T21:33:26.746248Z", + "start_time": "2020-02-23T21:33:25.095398Z" } }, "outputs": [ @@ -72,10 +74,11 @@ "output_type": "stream", "text": [ "watermark 2.0.2\n", - "matplotlib 3.1.2\n", - "spaghetti 1.4.1\n", - "libpysal 4.2.0\n", - "geopandas 0.6.2\n", + "libpysal 4.2.0\n", + "matplotlib 3.1.2\n", + "spaghetti 1.4.2\n", + "geopandas 0.6.2\n", + "matplotlib_scalebar 0.6.1\n", "\n" ] } @@ -83,9 +86,13 @@ "source": [ "import geopandas\n", "import libpysal\n", + "from libpysal import examples\n", "from libpysal.cg import Point, Chain\n", "import matplotlib\n", + "import matplotlib_scalebar\n", + "from matplotlib_scalebar.scalebar import ScaleBar\n", "import spaghetti\n", + "\n", "%matplotlib inline\n", "%watermark -w\n", "%watermark -iv" @@ -96,14 +103,15 @@ "execution_count": 3, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:29:46.899681Z", - "start_time": "2020-02-19T01:29:46.894725Z" + "end_time": "2020-02-23T21:33:26.756818Z", + "start_time": "2020-02-23T21:33:26.751950Z" } }, "outputs": [], "source": [ "try:\n", " from IPython.display import set_matplotlib_formats\n", + "\n", " set_matplotlib_formats(\"retina\")\n", "except ImportError:\n", " pass" @@ -123,8 +131,8 @@ "execution_count": 4, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:29:46.920312Z", - "start_time": "2020-02-19T01:29:46.906819Z" + "end_time": "2020-02-23T21:33:26.772890Z", + "start_time": "2020-02-23T21:33:26.762623Z" } }, "outputs": [], @@ -147,8 +155,8 @@ "execution_count": 5, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:29:46.942709Z", - "start_time": "2020-02-19T01:29:46.926918Z" + "end_time": "2020-02-23T21:33:26.790431Z", + "start_time": "2020-02-23T21:33:26.777647Z" } }, "outputs": [ @@ -170,7 +178,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "#### Here we get a warning because the network we created has 2 connected components" + "#### Here we get a warning because the network we created is not fully connected" ] }, { @@ -178,15 +186,15 @@ "execution_count": 6, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:29:46.960738Z", - "start_time": "2020-02-19T01:29:46.950312Z" + "end_time": "2020-02-23T21:33:26.812745Z", + "start_time": "2020-02-23T21:33:26.795167Z" } }, "outputs": [ { "data": { "text/plain": [ - "2" + "False" ] }, "execution_count": 6, @@ -195,14 +203,14 @@ } ], "source": [ - "ntw.network_n_components" + "ntw.network_fully_connected" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "#### The network components can be inspected through the `network_component2arc` attribute" + "#### It has 2 connected components" ] }, { @@ -210,15 +218,15 @@ "execution_count": 7, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:29:46.974802Z", - "start_time": "2020-02-19T01:29:46.964737Z" + "end_time": "2020-02-23T21:33:26.833964Z", + "start_time": "2020-02-23T21:33:26.825904Z" } }, "outputs": [ { "data": { "text/plain": [ - "{0: [(0, 1), (0, 2), (0, 3)], 1: [(4, 5), (4, 6), (4, 7)]}" + "2" ] }, "execution_count": 7, @@ -227,14 +235,15 @@ } ], "source": [ - "ntw.network_component2arc" + "ntw.network_n_components" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "#### Extract the network arc and vertices as `geopandas.GeoDataFrame` objects" + "#### The network components can be inspected through the following attributes\n", + "##### `network_component_labels`" ] }, { @@ -242,21 +251,31 @@ "execution_count": 8, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:29:47.000791Z", - "start_time": "2020-02-19T01:29:46.981590Z" + "end_time": "2020-02-23T21:33:26.863237Z", + "start_time": "2020-02-23T21:33:26.847956Z" } }, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "array([0, 0, 0, 1, 1, 1], dtype=int32)" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# network vertices and arcs\n", - "vertices_df, arcs_df = spaghetti.element_as_gdf(ntw, vertices=True, arcs=True)" + "ntw.network_component_labels" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "#### Network component labels are found in the `\"comp_label\"` field" + "##### `network_component2arc` " ] }, { @@ -264,86 +283,15 @@ "execution_count": 9, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:29:47.021699Z", - "start_time": "2020-02-19T01:29:47.005687Z" + "end_time": "2020-02-23T21:33:26.880080Z", + "start_time": "2020-02-23T21:33:26.869981Z" } }, "outputs": [ { "data": { - "text/html": [ - "
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" - ], "text/plain": [ - " id geometry comp_label\n", - "0 (0, 1) LINESTRING (1.00000 2.00000, 0.00000 2.00000) 0\n", - "1 (0, 2) LINESTRING (1.00000 2.00000, 1.00000 1.00000) 0\n", - "2 (0, 3) LINESTRING (1.00000 2.00000, 1.00000 3.00000) 0\n", - "3 (4, 5) LINESTRING (2.00000 1.00000, 2.00000 0.00000) 1\n", - "4 (4, 6) LINESTRING (2.00000 1.00000, 3.00000 1.00000) 1\n", - "5 (4, 7) LINESTRING (2.00000 1.00000, 2.00000 2.00000) 1" + "{0: [(0, 1), (0, 2), (0, 3)], 1: [(4, 5), (4, 6), (4, 7)]}" ] }, "execution_count": 9, @@ -352,14 +300,14 @@ } ], "source": [ - "arcs_df" + "ntw.network_component2arc" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "#### Plot the disconnected network and symbolize the arcs bases on the value of `\"comp_label\"`" + "##### `network_component_lengths`" ] }, { @@ -367,46 +315,31 @@ "execution_count": 10, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:29:47.424638Z", - "start_time": "2020-02-19T01:29:47.025420Z" + "end_time": "2020-02-23T21:33:26.898848Z", + "start_time": "2020-02-23T21:33:26.884527Z" } }, "outputs": [ { "data": { - "image/png": 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\n", "text/plain": [ - "
" + "{0: 3.0, 1: 3.0}" ] }, - "metadata": { - "image/png": { - "height": 411, - "width": 417 - }, - "needs_background": "light" - }, - "output_type": "display_data" + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ - "base = arcs_df.plot(column=\"comp_label\", cmap=\"Set2\", linewidth=5, figsize=(7, 7))\n", - "vertices_df.plot(ax=base, color=\"k\", markersize=100, zorder=2);" + "ntw.network_component_lengths" ] }, { "cell_type": "markdown", - "metadata": { - "ExecuteTime": { - "end_time": "2020-01-17T02:24:00.431130Z", - "start_time": "2020-01-17T02:24:00.414100Z" - } - }, + "metadata": {}, "source": [ - "\n", - "----------------\n", - "\n", - "### 2. Add to the network created above" + "##### `network_longest_component`" ] }, { @@ -414,20 +347,31 @@ "execution_count": 11, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:29:47.454153Z", - "start_time": "2020-02-19T01:29:47.436171Z" + "end_time": "2020-02-23T21:33:26.917146Z", + "start_time": "2020-02-23T21:33:26.906890Z" } }, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "0" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "new_lines = [\n", - " Chain([Point([1, 1]), Point([2, 2])]),\n", - " Chain([Point([0.5, 1]), Point([0.5, 0.5])]),\n", - " Chain([Point([0.5, 0.5]), Point([1, 0.5])]),\n", - " Chain([Point([2, 2.5]), Point([2.5, 2.5])]),\n", - " Chain([Point([2.5, 2.5]), Point([2.5, 2])]),\n", - "]\n", - "lines += new_lines" + "ntw.network_longest_component" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### `network_component_vertices` " ] }, { @@ -435,34 +379,31 @@ "execution_count": 12, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:29:47.471688Z", - "start_time": "2020-02-19T01:29:47.457589Z" + "end_time": "2020-02-23T21:33:26.935222Z", + "start_time": "2020-02-23T21:33:26.928162Z" } }, "outputs": [ { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/jgaboardi/miniconda3/envs/py3_spgh_dev/lib/python3.7/site-packages/libpysal/weights/weights.py:167: UserWarning: The weights matrix is not fully connected: \n", - " There are 3 disconnected components.\n", - " warnings.warn(message)\n", - "/Users/jgaboardi/miniconda3/envs/py3_spgh_dev/lib/python3.7/site-packages/libpysal/weights/weights.py:167: UserWarning: The weights matrix is not fully connected: \n", - " There are 3 disconnected components.\n", - " There are 2 islands with ids: (8, 10), (11, 13).\n", - " warnings.warn(message)\n" - ] + "data": { + "text/plain": [ + "{0: [0, 1, 2, 3], 1: [4, 5, 6, 7]}" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ - "ntw = spaghetti.Network(in_data=lines)" + "ntw.network_component_vertices" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "#### Now there are 3 connected components in the network" + "##### `network_component_vertex_count` " ] }, { @@ -470,15 +411,15 @@ "execution_count": 13, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:29:47.488650Z", - "start_time": "2020-02-19T01:29:47.475950Z" + "end_time": "2020-02-23T21:33:26.949469Z", + "start_time": "2020-02-23T21:33:26.940361Z" } }, "outputs": [ { "data": { "text/plain": [ - "3" + "{0: 4, 1: 4}" ] }, "execution_count": 13, @@ -487,7 +428,14 @@ } ], "source": [ - "ntw.network_n_components" + "ntw.network_component_vertex_count" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### `network_largest_component` " ] }, { @@ -495,17 +443,15 @@ "execution_count": 14, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:29:47.507841Z", - "start_time": "2020-02-19T01:29:47.492553Z" + "end_time": "2020-02-23T21:33:26.959015Z", + "start_time": "2020-02-23T21:33:26.952494Z" } }, "outputs": [ { "data": { "text/plain": [ - "{0: [(0, 1), (0, 2), (0, 3), (2, 7), (4, 5), (4, 6), (4, 7)],\n", - " 1: [(8, 9), (9, 10)],\n", - " 2: [(11, 12), (12, 13)]}" + "0" ] }, "execution_count": 14, @@ -514,7 +460,14 @@ } ], "source": [ - "ntw.network_component2arc" + "ntw.network_largest_component" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### `network_component_is_ring` " ] }, { @@ -522,14 +475,32 @@ "execution_count": 15, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:29:47.547329Z", - "start_time": "2020-02-19T01:29:47.516546Z" + "end_time": "2020-02-23T21:33:26.970192Z", + "start_time": "2020-02-23T21:33:26.963159Z" } }, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "{0: False, 1: False}" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# network vertices and arcs\n", - "vertices_df, arcs_df = spaghetti.element_as_gdf(ntw, vertices=True, arcs=True)" + "ntw.network_component_is_ring" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### The same can be performed for graph representations, for example:\n", + "##### `graph_component_labels`" ] }, { @@ -537,121 +508,15 @@ "execution_count": 16, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:29:47.571828Z", - "start_time": "2020-02-19T01:29:47.550428Z" + "end_time": "2020-02-23T21:33:26.989843Z", + "start_time": "2020-02-23T21:33:26.973868Z" } }, "outputs": [ { "data": { - "text/html": [ - "
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Non-articulation points are vertices in a network that are degree-2. A vertex is degree-2 if, and only if, it is directly connected to only 2 other vertices." + "##### `graph_component2edge` " ] }, { @@ -675,15 +540,15 @@ "execution_count": 17, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:29:47.591770Z", - "start_time": "2020-02-19T01:29:47.575012Z" + "end_time": "2020-02-23T21:33:27.006773Z", + "start_time": "2020-02-23T21:33:26.997337Z" } }, "outputs": [ { "data": { "text/plain": [ - "[9, 2, 12, 7]" + "{0: [(0, 1), (0, 2), (0, 3)], 1: [(4, 5), (4, 6), (4, 7)]}" ] }, "execution_count": 17, @@ -692,14 +557,14 @@ } ], "source": [ - "ntw.non_articulation_points" + "ntw.graph_component2edge" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "#### Slice out the articulation points and non-articulation points" + "#### Extract the network arc and vertices as `geopandas.GeoDataFrame` objects" ] }, { @@ -707,22 +572,21 @@ "execution_count": 18, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:29:47.609747Z", - "start_time": "2020-02-19T01:29:47.598988Z" + "end_time": "2020-02-23T21:33:27.051311Z", + "start_time": "2020-02-23T21:33:27.011915Z" } }, "outputs": [], "source": [ - "napts = ntw.non_articulation_points\n", - "articulation_vertices = vertices_df[~vertices_df[\"id\"].isin(napts)]\n", - "non_articulation_vertices = vertices_df[vertices_df[\"id\"].isin(napts)]" + "# network vertices and arcs\n", + "vertices_df, arcs_df = spaghetti.element_as_gdf(ntw, vertices=True, arcs=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "#### Plot the connected components while making a distinction between articulation points and non-articulation points" + "#### Network component labels are found in the `\"comp_label\"` field" ] }, { @@ -730,179 +594,8 @@ "execution_count": 19, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:29:48.050735Z", - "start_time": "2020-02-19T01:29:47.612426Z" - } - }, - "outputs": [ - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": { - "image/png": { - "height": 411, - "width": 417 - }, - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "base = arcs_df.plot(column=\"comp_label\", cmap=\"Set2\", linewidth=5, figsize=(7, 7))\n", - "articulation_vertices.plot(ax=base, color=\"k\", markersize=100, zorder=2)\n", - "non_articulation_vertices.plot(ax=base, marker=\"s\", color=\"k\", markersize=20, zorder=2);" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "----------------\n", - "\n", - "### 3. Add a loop of `libpysal.cg.Chain` objects" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": { - "ExecuteTime": { - "end_time": "2020-02-19T01:29:48.070684Z", - "start_time": "2020-02-19T01:29:48.058849Z" - } - }, - "outputs": [], - "source": [ - "new_lines = [\n", - " Chain([Point([3, 1]), Point([3.25, 1.25])]),\n", - " Chain([Point([3.25, 1.25]), Point([3.5, 1.25])]),\n", - " Chain([Point([3.5, 1.25]), Point([3.75, 1])]),\n", - " Chain([Point([3.75, 1]), Point([3.5, .75])]),\n", - " Chain([Point([3.5, .75]), Point([3.25, .75])]),\n", - " Chain([Point([3.25, .75]), Point([3, 1])]),\n", - "]\n", - "lines += new_lines" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": { - "ExecuteTime": { - "end_time": "2020-02-19T01:29:48.089803Z", - "start_time": "2020-02-19T01:29:48.074400Z" - } - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/jgaboardi/miniconda3/envs/py3_spgh_dev/lib/python3.7/site-packages/libpysal/weights/weights.py:167: UserWarning: The weights matrix is not fully connected: \n", - " There are 3 disconnected components.\n", - " warnings.warn(message)\n", - "/Users/jgaboardi/miniconda3/envs/py3_spgh_dev/lib/python3.7/site-packages/libpysal/weights/weights.py:167: UserWarning: The weights matrix is not fully connected: \n", - " There are 3 disconnected components.\n", - " There are 2 islands with ids: (8, 10), (11, 13).\n", - " warnings.warn(message)\n" - ] - } - ], - "source": [ - "ntw = spaghetti.Network(in_data=lines)" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": { - "ExecuteTime": { - "end_time": "2020-02-19T01:29:48.108239Z", - "start_time": "2020-02-19T01:29:48.098814Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "3" - ] - }, - "execution_count": 22, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "ntw.network_n_components" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": { - "ExecuteTime": { - "end_time": "2020-02-19T01:29:48.133457Z", - "start_time": "2020-02-19T01:29:48.121464Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "{0: [(0, 1),\n", - " (0, 2),\n", - " (0, 3),\n", - " (2, 7),\n", - " (4, 5),\n", - " (4, 6),\n", - " (4, 7),\n", - " (6, 14),\n", - " (6, 18),\n", - " (14, 15),\n", - " (15, 16),\n", - " (16, 17),\n", - " (17, 18)],\n", - " 1: [(8, 9), (9, 10)],\n", - " 2: [(11, 12), (12, 13)]}" - ] - }, - "execution_count": 23, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "ntw.network_component2arc" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": { - "ExecuteTime": { - "end_time": "2020-02-19T01:29:48.178470Z", - "start_time": "2020-02-19T01:29:48.139514Z" - } - }, - "outputs": [], - "source": [ - "# network vertices and arcs\n", - "vertices_df, arcs_df = spaghetti.element_as_gdf(ntw, vertices=True, arcs=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": { - "ExecuteTime": { - "end_time": "2020-02-19T01:29:48.202887Z", - "start_time": "2020-02-19T01:29:48.180944Z" + "end_time": "2020-02-23T21:33:27.075918Z", + "start_time": "2020-02-23T21:33:27.057204Z" } }, "outputs": [ @@ -935,104 +628,1281 @@ " \n", " \n", " 0\n", - " (0, 1)\n", - " LINESTRING (1.00000 2.00000, 0.00000 2.00000)\n", + " 0\n", + " POINT (1.00000 2.00000)\n", " 0\n", " \n", " \n", " 1\n", - " (0, 2)\n", - " LINESTRING (1.00000 2.00000, 1.00000 1.00000)\n", + " 1\n", + " POINT (0.00000 2.00000)\n", " 0\n", " \n", " \n", " 2\n", - " (0, 3)\n", - " LINESTRING (1.00000 2.00000, 1.00000 3.00000)\n", + " 2\n", + " POINT (1.00000 1.00000)\n", " 0\n", " \n", " \n", " 3\n", - " (2, 7)\n", - " LINESTRING (1.00000 1.00000, 2.00000 2.00000)\n", + " 3\n", + " POINT (1.00000 3.00000)\n", " 0\n", " \n", " \n", " 4\n", - " (4, 5)\n", - " LINESTRING (2.00000 1.00000, 2.00000 0.00000)\n", - " 0\n", + " 4\n", + " POINT (2.00000 1.00000)\n", + " 1\n", " \n", " \n", " 5\n", - " (4, 6)\n", - " LINESTRING (2.00000 1.00000, 3.00000 1.00000)\n", - " 0\n", + " 5\n", + " POINT (2.00000 0.00000)\n", + " 1\n", " \n", " \n", " 6\n", - " (4, 7)\n", - " LINESTRING (2.00000 1.00000, 2.00000 2.00000)\n", - " 0\n", + " 6\n", + " POINT (3.00000 1.00000)\n", + " 1\n", " \n", " \n", " 7\n", - " (6, 14)\n", - " LINESTRING (3.00000 1.00000, 3.25000 1.25000)\n", - " 0\n", - " \n", - " \n", - " 8\n", - " (6, 18)\n", - " LINESTRING (3.00000 1.00000, 3.25000 0.75000)\n", - " 0\n", + " 7\n", + " POINT (2.00000 2.00000)\n", + " 1\n", " \n", - " \n", - " 9\n", - " (8, 9)\n", - " LINESTRING (0.50000 1.00000, 0.50000 0.50000)\n", + " \n", + "\n", + "
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" + ], + "text/plain": [ + " id geometry comp_label\n", + "0 (0, 1) LINESTRING (1.00000 2.00000, 0.00000 2.00000) 0\n", + "1 (0, 2) LINESTRING (1.00000 2.00000, 1.00000 1.00000) 0\n", + "2 (0, 3) LINESTRING (1.00000 2.00000, 1.00000 3.00000) 0\n", + "3 (4, 5) LINESTRING (2.00000 1.00000, 2.00000 0.00000) 1\n", + "4 (4, 6) LINESTRING (2.00000 1.00000, 3.00000 1.00000) 1\n", + "5 (4, 7) LINESTRING (2.00000 1.00000, 2.00000 2.00000) 1" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "arcs_df" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Plot the disconnected network and symbolize the arcs bases on the value of `\"comp_label\"`" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "ExecuteTime": { + "end_time": "2020-02-23T21:33:27.501321Z", + "start_time": "2020-02-23T21:33:27.108379Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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4QljZeu95/k//PJ/73Sdy/DOfnfW8sbe8OXt+bq09CAPyHggsFh+TWwKmpqayY8eObNu27YJvAkmyb9++bNu2LTt27MjU1NRlWiGsbGf34OM/89ELhlCSHP/MZ+1BGJD3QGAxiaFFdvTo0YyPj2dycvKSXjc5OZnx8fEcPXp0RCuDGuxBWDz2H7DYxNAimpqayu23354TJ07M6/UnTpzIHXfc4b+OwTzZg7B47D9gKVhwDLXWXtda+9ettd9rrT3bWjvdWnuxtfbHrbV/1Vq7pH+jtTbWWvvN1tpfttbOtNaOtdY+1lq7ZqFrXUp677n33nvn/SZw1vHjx3Pfffel9z7QyqAGexAWj/0HLBVD3EDhXUkeTvJXSZ5M8nyS702yI8l/THJ3a+1dfQ7/n6q1dkOSTydZn+SRJE8neUuS9yfZ2lp7e+/9KwOsedHt3bs3jzzyyCCzJicnM/HvfyYbb7tlkHlQwfN/+ud5fMA9+Nhjj2ViYmKQebDSDf0eaP8B8zXEx+Q+n+SfJRnrvf8Pvfd/03v/l0luTvLlJD+S6TCai4cyHULv671v771/qPf+ziS/nGRTko8MsN4lYdeuXYPOO7L7wr90Crza5373iUHnDb2nYSUber/Yf8B8LTiGeu9/0Hv//d77d855fCrJr8/89YcuNqe1dn2SO5McS/Jr5zx9f5KXkry7tXblQte82E6ePHnRO+Zcqi//35/N6Re+PuhMWKlOf+3Fi9417lI9/vjjOXXq1KAzYSUaxXug/QfM16hvoPA3M8dvzeHcd84cnzhPWH0jyZ8kWZPkbcMtb3EcPHhwJHNPPf3FkcyFlebU08+NZO6o9jasJKPaJ/YfMB8ji6HW2hVJ/vnMXx+fw0s2zRw/P8vzz8wcb5rDv33ofH8y/dG9RXfkyJGRzP3acwv7RVSo4mvHjo9k7qj2Nqwko9on9h8wH6O8MvSLSf5Rkr2997lcD187c3xxlufPPn71Qhe22E6fPj2Sud86c2Ykc2Gl+daZvx7J3Jdffnkkc2ElGdV7oP0HzMcQd5P7e1pr70vywUzfDe7dQ42dOV70rnS991tnWdehJFsGWs+8rV69eiRzr1i1aiRzYaW5YtV3jWTumjVrRjIXVpJRvQfaf8B8DH5lqLX23iS/kuQvkryj9/7VOb707JWftbM8f9U55y1bmzdvHsnca95w7UjmwkpzzXVjI5k7qr0NK8mo9on9B8zHoDHUWvvJJL+a5HOZDqFL+VroozPH2X4n6MaZ42y/U7RsjI+Pj2TuupuvH8lcWGnW3fyGkcwd1d6GlWRU+8T+A+ZjsBhqrf1Mpr8P6D9lOoROXuKIJ2eOd7bWXrWu1tr3JHl7ktNJ/myha11s69evz1133TXozNe/9c1ZffVVFz8RyOpr1mbsLW8edObWrVuzbt26QWfCSjSK90D7D5ivQX5nqLX275J8OMmhJHde6KNxrbXXJLkhyd/03r9w9vHe+xdaa09k+ruG3pvkld+g9mCSK5P8Ru/9pSHWvNh27tw56Pcs/PrP/UIm/olv34a52vNza7Nt27bB5u3cuXOwWbDSDf0eaP8B87XgK0OttR/PdAh9O8kfJXlfa+2Bc/78i1e85NokTyXZf55xP5HkZJKPt9YmW2u/0Fr7gyQfyPTH4352oetdKiYmJrJ9+/ZBZt1zzz25++67B5kFVdiDsHjsP2CpaL1f9OZsFx7Q2gNJ7r/IaZ/qvf/QzPnXJXkuyZd679edZ97rMx1XW5O8LslfJZlM8uAl3IxhtrUe2rJly5ZDhw4tZMxgpqamMj4+nhMn5v/9QGNjYzlw4EA2bNgw4MqgBnsQFo/9Bwzl1ltvzeHDhw/PdkfpC1nwlaHe+wO993aRPz/0ivOPzTx23Szzvtx7f0/v/R/23r+r9/59vff3LzSElqINGzZk//79GRub352txsbGsn//fm8CME/2ICwe+w9YCkb5pavMwaZNm3LgwIFL/rjA9u3bc+DAgdx002w33wPmwh6ExWP/AYtNDC0BGzZsyO7du7Nnz55s3br1gudu3bo1e/bsye7du/3XMBjI2T249Zd+Oq9/64XvMvf6t77ZHoQBnd1/999/f7ZsufD3om/ZssX+AwY1yN3kWLjWWiYmJjIxMZFTp07l4MGDOXLkSF5++eWsWbMmmzdvzvj4uFuHwoi01rLxtluy8bZbcvqFr+fU01/M1547kW+dOZMrVq3KNW+4Nutuvj6rr77KnRthYK21jI+PZ3x8PC+++GKeeeaZPP/88zlz5kxWrVqVjRs35sYbb8zatWszMWH/AcMRQ0vQunXrcvfdd7s7DiyS1VdflY1vuyUb33bLYi8Fylm7du3fhhHAqPmYHAAAUJIYAgAAShJDAABASWIIAAAoSQwBAAAliSEAAKAkMQQAAJQkhgAAgJLEEAAAUJIYAgAAShJDAABASWIIAAAoSQwBAAAliSEAAKAkMQQAAJQkhgAAgJLEEAAAUJIYAgAAShJDAABASWIIAAAoSQwBAAAliSEAAKAkMQQAAJQkhgAAgJLEEAAAUJIYAgAAShJDAABASWIIAAAoSQwBAAAliSEAAKAkMQQAAJQkhgAAgJLEEAAAUJIYAgAAShJDAABASWIIAAAoSQwBAAAliSEAAKAkMQQAAJQkhgAAgJLEEAAAUJIYAgAAShJDAABASWIIAAAoSQwBAAAliSEAAKAkMQQAAJQkhgAAgJLEEAAAUJIYAgAAShJDAABASWIIAAAoSQwBAAAliSEAAKAkMQQAAJQkhgAAgJLEEAAAUJIYAgAAShJDAABASWIIAAAoSQwBAAAliSEAAKAkMQQAAJQkhgAAgJLEEAAAUJIYAgAAShJDAABASWIIAAAoSQwBAAAliSEAAKAkMQQAAJQkhgAAgJLEEAAAUJIYAgAAShJDAABASWIIAAAoSQwBAAAliSEAAKAkMQQAAJQkhgAAgJLEEAAAUJIYAgAAShJDAABASWIIAAAoSQwBAAAliSEAAKAkMQQAAJQkhgAAgJLEEAAAUJIYAgAAShJDAABASWIIAAAoSQwBAAAlDRJDrbUfba3taq39UWvt66213lr7nXnMOTbz2vP9mRpirQAAAElyxUBz/m2S70/yzSTHk9y8gFkvJvnYeR7/5gJmAgAAvMpQMfSBTEfQs0n+aZInFzDrhd77A0MsCgAAYDaDxFDv/W/jp7U2xEgAAICRGurK0JBWtdZ+LMnGJC8l+WySP+y9f3txlwUAAKwkSzGGNiT55DmPPddae0/v/VNzGdBaOzTLUwv5XSYAAGAFWWq31v6tJLdnOoiuTPKPk/xGkuuSPNZa+/7FWxoAALCSLKkrQ733B8956HNJ7m2tfTPJB5M8kOSeOcy59XyPz1wx2rLAZQIAACvAUrsyNJtfnzn+4KKuAgAAWDGWSwydnDleuairAAAAVozlEkO3zRy/uKirAAAAVozLHkOttde01m5urd1wzuObW2uvPc/535fkV2f++juXY40AAMDKN8gNFFpr25Nsn/nrhpnjba21T8z87//ce/+pmf99bZKnknwp03eJO+tdST7UWnsyyXNJvpHkhiQ/nOS7k+xN8tEh1gsAADDU3eRuSfLj5zx2/cyfZDp8fioX9mSSTUl+INMfi7syyQtJ/jjT3zv0yd57H2i9AABAcYPEUO/9gUzf9nou5x5L0s7z+KeSzOlLVQEAABZqudxAAQAAYFBiCAAAKEkMAQAAJYkhAACgJDEEAACUJIYAAICSxBAAAFCSGAIAAEoSQwAAQEliCAAAKEkMAQAAJYkhAACgJDEEAACUJIYAAICSxBAAAFCSGAIAAEoSQwAAQEliCAAAKEkMAQAAJYkhAACgJDEEAACUJIYAAICSxBAAAFCSGAIAAEoSQwAAQEliCAAAKEkMAQAAJYkhAACgJDEEAACUJIYAAICSxBAAAFCSGAIAAEoSQwAAQEliCAAAKEkMAQAAJYkhAACgJDEEAACUJIYAAICSxBAAAFCSGAIAAEoSQwAAQEliCAAAKEkMAQAAJYkhAACgJDEEAACUJIYAAICSxBAAAFCSGAIAAEoSQwAAQEliCAAAKEkMAQAAJYkhAACgJDEEAACUJIYAAICSxBAAAFCSGAIAAEoSQwAAQEliCAAAKEkMAQAAJYkhAACgJDEEAACUJIYAAICSxBAAAFCSGAIAAEoSQwAAQEliCAAAKEkMAQAAJYkhAACgJDEEAACUJIYAAICSxBAAAFCSGAIAAEoSQwAAQEliCAAAKEkMAQAAJYkhAACgJDEEAACUJIYAAICSxBAAAFCSGAIAAEoSQwAAQEliCAAAKEkMAQAAJYkhAACgJDEEAACUJIYAAICSxBAAAFCSGAIAAEoSQwAAQEliCAAAKEkMAQAAJYkhAACgpCsWewEAS83pr72YU08/l68dO55vnfnrXLHqu3LNdWNZd/MbsvqatYu9PFjRXnjhhTz77LN5/vnnc+bMmaxatSobN27MG9/4xlx99dWLvTxY0U6ePJmDBw/myJEjOX36dFavXp3NmzdnfHw869evX+zljYQYAkjSe8/zf/rn+dzvPpHjn/nsrOeNveXN2fNzazMxMZHW2mVcIaxcvfccOHAgjz76aA4fPjzreVu2bElrzf6DAfXes3fv3uzatSv79u2b9by77rorO3fuXHH7z8fkgPKmpqayY8eOPP4zH71gCCXJ8c98Ntu2bcuOHTsyNTV1mVYIK9fZ/ffhD3/4giGUJIcPH7b/YEBn99+2bdsuGEJJsm/fvhW5/8QQUNrRo0czPj6eycnJS3rd5ORkxsfHc/To0RGtDFY++w8Wj/03TQwBZU1NTeX222/PiRMn5vX6EydO5I477lhR/4UMLhf7DxaP/fd3Bomh1tqPttZ2tdb+qLX29dZab639zjxnjbXWfrO19pettTOttWOttY+11q4ZYq0AyfRnpO+99955vxGcdfz48dx3333pvQ+0Mlj57D9YPPbfqw11A4V/m+T7k3wzyfEkN89nSGvthiSfTrI+ySNJnk7yliTvT7K1tfb23vtXBlkxUNrevXvzyCOPDDJrcnIyjz32WCYmJgaZByvd0PvvwQcfzPj4+CDzYKU7cOCA979XGOpjch9IclOSq5Lct4A5D2U6hN7Xe9/ee/9Q7/2dSX45yaYkH1nwSgGS7Nq1a0nPg5Vs6P3y+7//+4POg5Xs0UcfHXTecn//GySGeu9P9t6f6Qu4TtZauz7JnUmOJfm1c56+P8lLSd7dWrty3gsFyPT3KFzsrjmX6vHHH8+pU6cGnQkr0Sj23+HDh/Piiy8OOhNWohdeeOGid228VMv9/W8p3UDhnTPHJ3rv33nlE733byT5kyRrkrztci8MWFkOHjy4rObCSjKqffLMM8+MZC6sJM8+++xI5i7n97+lFEObZo6fn+X5s/9f7qaLDWqtHTrfn8zzd5mAleXIkSPLai6sJKPaJ88///xI5sJKMqp9spzf/5ZSDK2dOc52nfvs41dfhrUAK9jp06dHMvfll18eyVxYSUa1/86cOTOSubCSjGqfLOf3v6HuJnc5tJnjRX8vqfd+63kHTF8d2jLkooDlZ/Xq1SOZu2bNmpHMhZVkVPtv1apVI5kLK8mo9slyfv9bSleGzl75WTvL81edcx7AvGzevHlZzYWVZFT7ZOPGjSOZCyvJqPbJcn7/W0oxdHTmONvvBN04c5ztd4oA5mRU30fie07g4ka1T2688caLnwTFvfGNbxzJ3OX8/reUYujJmeOdrbVXrau19j1J3p7kdJI/u9wLA1aW9evX56677hp05tatW7Nu3bpBZ8JKNIr9t2XLlqxdO9sHS4Czrr766mzZMuxvjCz397/L/jtDrbXXJLkhyd/03r9w9vHe+xdaa09k+ruG3pvkld/g9GCSK5P8Ru/9pcu5XmBl2rlz56DfdbJz587BZsFKN/T++/mf//lMTEwMNg9WstZatm3bNti85f7+N8iVodba9tbaJ1prn0jyoZmHbzv7WGvto684/dokTyXZf55RP5HkZJKPt9YmW2u/0Fr7gyQfyPTH4352iPUCTExMZPv27YPMuueee3L33XcPMgsqsP9g8dh/rzbUx+RuSfLjM3/OXoct6oQAABRHSURBVPu+/hWP/ehchsxcKRpP8okkb03ywUxfRfp4ktt6718ZaL1Aca21PPzww7n22msXNGdsbCwPPfRQWmsXPxlIYv/BYrL/Xm2QGOq9P9B7bxf4c90rzj127mPnzPpy7/09vfd/2Hv/rt779/Xe3997/+oQawU4a8OGDdm/f3/Gxsbm9fqxsbHs378/GzZsGHhlsPLZf7B47L+/s5RuoABw2W3atCkHDhy45I8MbN++PQcOHMhNN812A0zgYuw/WDz23zQxBJS3YcOG7N69O3v27MnWrVsveO7WrVuzZ8+e7N69e0X8FzFYbGf33/3333/Ru1xt2bLF/oMBef9LWu99sddw2bTWDm3ZsmXLoUOHFnspwBJ26tSpHDx4MEeOHMnLL7+cNWvWZPPmzRkfH1/Wtw+FpezRRx9Nkrz44ot55pln8vzzz+fMmTNZtWpVNm7cmBtvvDFr164d9C5YwKst1/e/W2+9NYcPHz7ce7/1Ul8rhgCARXc2hi5GDAHnWkgM+ZgcAABQkhgCAABKEkMAAEBJYggAAChJDAEAACWJIQAAoCQxBAAAlCSGAACAksQQAABQkhgCAABKEkMAAEBJYggAAChJDAEAACWJIQAAoCQxBAAAlCSGAACAksQQAABQkhgCAABKEkMAAEBJYggAAChJDAEAACWJIQAAoCQxBAAAlCSGAACAksQQAABQkhgCAABKEkMAAEBJYggAAChJDAEAACWJIQAAoCQxBAAAlCSGAACAksQQAABQkhgCAABKEkMAAEBJYggAAChJDAEAACWJIQAAoCQxBAAAlCSGAACAksQQAABQkhgCAABKEkMAAEBJYggAAChJDAEAACWJIQAAoCQxBAAAlCSGAACAksQQAABQkhgCAABKEkMAAEBJYggAAChJDAEAACWJIQAAoCQxBAAAlCSGAACAksQQAABQkhgCAABKEkMAAEBJYggAAChJDAEAACWJIQAAoCQxBAAAlCSGAACAksQQAABQkhgCAABKEkMAAEBJYggAAChJDAEAACWJIQAAoCQxBAAAlCSGAACAksQQAABQkhgCAABKEkMAAEBJYggAAChJDAEAACWJIQAAoCQxBAAAlCSGAACAksQQAABQkhgCAABKEkMAAEBJYggAAChJDAEAACWJIQAAoCQxBAAAlCSGAACAksQQAABQkhgCAABKEkMAAEBJYggAAChJDAEAACWJIQAAoKTBYqi1NtZa+83W2l+21s601o611j7WWrvmEmYca631Wf5MDbVWAACAK4YY0lq7Icmnk6xP8kiSp5O8Jcn7k2xtrb299/6VOY57McnHzvP4N4dYKwAAQDJQDCV5KNMh9L7e+66zD7bW/kOSDyT5SJJ75zjrhd77AwOtCwAA4LwW/DG51tr1Se5McizJr53z9P1JXkry7tbalQv9twAAAIYyxJWhd84cn+i9f+eVT/Tev9Fa+5NMx9Lbkuyfw7xVrbUfS7Ix0yH12SR/2Hv/9lwX1Fo7NMtTN891BgAAsLINEUObZo6fn+X5ZzIdQzdlbjG0Icknz3nsudbae3rvn5rfEgEAAF5tiBhaO3N8cZbnzz5+9Rxm/VaSP0pyJMk3klyf5H9O8j8leay1dlvv/f+52JDe+63ne3zmitGWOawDAABY4Ya6gcKFtJljv9iJvfcHz3noc0nuba19M8kHkzyQ5J5BVwcAAJQ0xPcMnb3ys3aW568657z5+PWZ4w8uYAYAAMDfGiKGjs4cb5rl+RtnjrP9TtFcnJw5uiMdAAAwiCFi6MmZ452ttVfNa619T5K3Jzmd5M8W8G/cNnP84gJmAAAA/K0Fx1Dv/QtJnkhyXZL3nvP0g5m+mvPbvfeXkqS19prW2s2ttRteeWJrbXNr7bXnzm+tfV+SX5356+8sdL0AAADJcDdQ+Ikkn07y8dba7UmeSvLWJO/I9MfjfvYV51478/yXMh1QZ70ryYdaa08meS7Td5O7IckPJ/nuJHuTfHSg9QIAAMUNEkO99y+01saTfDjJ1iQTSf4qyceTPNh7/+ocxjyZ6e8s+oFMfyzuyiQvJPnjTH/v0Cd77xe9Ix0AAMBcDHZr7d77l5O8Zw7nHcvf3W77lY9/KokvVQUAAC6LIW6gAAAAsOyIIQAAoCQxBAAAlCSGAACAksQQAABQkhgCAABKEkMAAEBJYggAAChJDAEAACWJIQAAoCQxBAAAlCSGAACAksQQAABQkhgCAABKEkMAAEBJYggAAChJDAEAACWJIQAAoCQxBAAAlCSGAACAksQQAABQkhgCAABKEkMAAEBJYggAAChJDAEAACWJIQAAoCQxBAAAlCSGAACAksQQAABQkhgCAABKEkMAAEBJYggAAChJDAEAACWJIQAAoCQxBAAAlCSGAACAksQQAABQkhgCAABKEkMAAEBJYggAAChJDAEAACWJIQAAoCQxBAAAlCSGAACAksQQAABQkhgCAABKEkMAAEBJYggAAChJDAEAACWJIQAAoCQxBAAAlCSGAACAksQQAABQkhgCAABKEkMAAEBJYggAAChJDAEAACWJIQAAoCQxBAAAlCSGAACAksQQAABQkhgCAABKEkMAAEBJYggAAChJDAEAACWJIQAAoCQxBAAAlCSGAACAksQQAABQkhgCAABKEkMAAEBJYggAAChJDAEAACWJIQAAoCQxBAAAlCSGAACAksQQAABQkhgCAABKEkMAAEBJYggAAChJDAEAACWJIQAAoCQxBAAAlCSGAACAksQQAABQkhgCAABKEkMAAEBJYggAAChJDAEAACWJIQAAoCQxBAAAlHTFYi8AAOCsF154Ic8++2yef/75nDlzJqtWrcrGjRvzxje+MVdfffViLw9YYcQQALCoeu85cOBAHn300Rw+fHjW87Zs2ZLWWiYmJtJau4wrBFYqH5MDABbN1NRUduzYkQ9/+MMXDKEkOXz4cLZt25YdO3ZkamrqMq0QWMnEEACwKI4ePZrx8fFMTk5e0usmJyczPj6eo0ePjmhlQBViCAC47KampnL77bfnxIkT83r9iRMncscdd7hCBCyIGAIALqvee+699955h9BZx48fz3333Zfe+0ArA6oZLIZaa2Ottd9srf1la+1Ma+1Ya+1jrbVrFmMOALA07d27N4888sggsyYnJ/PYY48NMguoZ5AYaq3dkORQkvck+UySX07yxSTvT/KnrbXXXc45AMDStWvXriU9D6hjqCtDDyVZn+R9vfftvfcP9d7fmemY2ZTkI5d5DgCwBJ08eTL79u0bdObjjz+eU6dODToTqGHBMdRauz7JnUmOJfm1c56+P8lLSd7dWrvycswBAJaugwcPLqu5wMo2xJWhd84cn+i9f+eVT/Tev5HkT5KsSfK2yzQnrbVD5/uT5OaL/58DAIzKkSNHltVcYGUbIoY2zRw/P8vzz8wcb7pMcwCAJer06dMjmfvyyy+PZC6wsl0xwIy1M8cXZ3n+7ONXX6Y56b3fer7HZ64ObbnY6wGA0Vi9evVI5q5Zs2Ykc4GV7XJ8z1CbOS70SwCGmgMALJLNmzcvq7nAyjZEDJ29YrN2luevOue8Uc8BAJao8fHxZTUXWNmGiKGjM8fZfpfnxpnjbL8LNPQcAGCJWr9+fe66665BZ27dujXr1q0bdCZQwxAx9OTM8c7W2qvmtda+J8nbk5xO8meXaQ4AsITt3LlzSc8D6lhwDPXev5DkiSTXJXnvOU8/mOTKJL/de38pSVprr2mt3dxau2EhcwCA5WliYiLbt28fZNY999yTu+++e5BZQD1D3E0uSX4iyaeTfLy1dnuSp5K8Nck7Mv2xtp99xbnXzjz/pUyHz3znAADLUGstDz/8cA4cOJATJ07Me87Y2Fg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" + ] + }, + "metadata": { + "image/png": { + "height": 411, + "width": 417 + }, + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "base = arcs_df.plot(column=\"comp_label\", cmap=\"Set2\", linewidth=5, figsize=(7, 7))\n", + "vertices_df.plot(ax=base, color=\"k\", markersize=100, zorder=2)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "ExecuteTime": { + "end_time": "2020-01-17T02:24:00.431130Z", + "start_time": "2020-01-17T02:24:00.414100Z" + } + }, + "source": [ + "\n", + "----------------\n", + "\n", + "### 2. Add to the network created above" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": { + "ExecuteTime": { + "end_time": "2020-02-23T21:33:27.514664Z", + "start_time": "2020-02-23T21:33:27.505430Z" + } + }, + "outputs": [], + "source": [ + "new_lines = [\n", + " Chain([Point([1, 1]), Point([2, 2])]),\n", + " Chain([Point([0.5, 1]), Point([0.5, 0.5])]),\n", + " Chain([Point([0.5, 0.5]), Point([1, 0.5])]),\n", + " Chain([Point([2, 2.5]), Point([2.5, 2.5])]),\n", + " Chain([Point([2.5, 2.5]), Point([2.5, 2])]),\n", + "]\n", + "lines += new_lines" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": { + "ExecuteTime": { + "end_time": "2020-02-23T21:33:27.535774Z", + "start_time": "2020-02-23T21:33:27.525299Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/jgaboardi/miniconda3/envs/py3_spgh_dev/lib/python3.7/site-packages/libpysal/weights/weights.py:167: UserWarning: The weights matrix is not fully connected: \n", + " There are 3 disconnected components.\n", + " warnings.warn(message)\n", + "/Users/jgaboardi/miniconda3/envs/py3_spgh_dev/lib/python3.7/site-packages/libpysal/weights/weights.py:167: UserWarning: The weights matrix is not fully connected: \n", + " There are 3 disconnected components.\n", + " There are 2 islands with ids: (8, 10), (11, 13).\n", + " warnings.warn(message)\n" + ] + } + ], + "source": [ + "ntw = spaghetti.Network(in_data=lines)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Now there are 3 connected components in the network" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "ExecuteTime": { + "end_time": "2020-02-23T21:33:27.557270Z", + "start_time": "2020-02-23T21:33:27.545540Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "3" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ntw.network_n_components" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": { + "ExecuteTime": { + "end_time": "2020-02-23T21:33:27.574269Z", + "start_time": "2020-02-23T21:33:27.565668Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{0: [(0, 1), (0, 2), (0, 3), (2, 7), (4, 5), (4, 6), (4, 7)],\n", + " 1: [(8, 9), (9, 10)],\n", + " 2: [(11, 12), (12, 13)]}" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ntw.network_component2arc" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": { + "ExecuteTime": { + "end_time": "2020-02-23T21:33:27.638182Z", + "start_time": "2020-02-23T21:33:27.581652Z" + } + }, + "outputs": [], + "source": [ + "# network vertices and arcs\n", + "vertices_df, arcs_df = spaghetti.element_as_gdf(ntw, vertices=True, arcs=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": { + "ExecuteTime": { + "end_time": "2020-02-23T21:33:27.666378Z", + "start_time": "2020-02-23T21:33:27.642307Z" + } + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " id geometry comp_label\n", + "0 (0, 1) LINESTRING (1.00000 2.00000, 0.00000 2.00000) 0\n", + "1 (0, 2) LINESTRING (1.00000 2.00000, 1.00000 1.00000) 0\n", + "2 (0, 3) LINESTRING (1.00000 2.00000, 1.00000 3.00000) 0\n", + "3 (2, 7) LINESTRING (1.00000 1.00000, 2.00000 2.00000) 0\n", + "4 (4, 5) LINESTRING (2.00000 1.00000, 2.00000 0.00000) 0\n", + "5 (4, 6) LINESTRING (2.00000 1.00000, 3.00000 1.00000) 0\n", + "6 (4, 7) LINESTRING (2.00000 1.00000, 2.00000 2.00000) 0\n", + "7 (8, 9) LINESTRING (0.50000 1.00000, 0.50000 0.50000) 1\n", + "8 (9, 10) LINESTRING (0.50000 0.50000, 1.00000 0.50000) 1\n", + "9 (11, 12) LINESTRING (2.00000 2.50000, 2.50000 2.50000) 2\n", + "10 (12, 13) LINESTRING (2.50000 2.50000, 2.50000 2.00000) 2" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "arcs_df" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### We can also inspect the non-articulation points in the network. Non-articulation points are vertices in a network that are degree-2. A vertex is degree-2 if, and only if, it is directly connected to only 2 other vertices." + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": { + "ExecuteTime": { + "end_time": "2020-02-23T21:33:27.681985Z", + "start_time": "2020-02-23T21:33:27.669665Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[9, 2, 12, 7]" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ntw.non_articulation_points" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Slice out the articulation points and non-articulation points" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": { + "ExecuteTime": { + "end_time": "2020-02-23T21:33:27.696570Z", + "start_time": "2020-02-23T21:33:27.685460Z" + } + }, + "outputs": [], + "source": [ + "napts = ntw.non_articulation_points\n", + "articulation_vertices = vertices_df[~vertices_df[\"id\"].isin(napts)]\n", + "non_articulation_vertices = vertices_df[vertices_df[\"id\"].isin(napts)]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Plot the connected components while making a distinction between articulation points and non-articulation points" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": { + "ExecuteTime": { + "end_time": "2020-02-23T21:33:28.129623Z", + "start_time": "2020-02-23T21:33:27.700204Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": { + "image/png": { + "height": 411, + "width": 417 + }, + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "base = arcs_df.plot(column=\"comp_label\", cmap=\"Set2\", linewidth=5, figsize=(7, 7))\n", + "articulation_vertices.plot(ax=base, color=\"k\", markersize=100, zorder=2)\n", + "non_articulation_vertices.plot(ax=base, marker=\"s\", color=\"k\", markersize=20, zorder=2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "----------------\n", + "\n", + "### 3. Add a loop of `libpysal.cg.Chain` objects" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": { + "ExecuteTime": { + "end_time": "2020-02-23T21:33:28.143912Z", + "start_time": "2020-02-23T21:33:28.134082Z" + } + }, + "outputs": [], + "source": [ + "new_lines = [\n", + " Chain([Point([3, 1]), Point([3.25, 1.25])]),\n", + " Chain([Point([3.25, 1.25]), Point([3.5, 1.25])]),\n", + " Chain([Point([3.5, 1.25]), Point([3.75, 1])]),\n", + " Chain([Point([3.75, 1]), Point([3.5, 0.75])]),\n", + " Chain([Point([3.5, 0.75]), Point([3.25, 0.75])]),\n", + " Chain([Point([3.25, 0.75]), Point([3, 1])]),\n", + "]\n", + "lines += new_lines" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": { + "ExecuteTime": { + "end_time": "2020-02-23T21:33:28.179216Z", + "start_time": "2020-02-23T21:33:28.147801Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/jgaboardi/miniconda3/envs/py3_spgh_dev/lib/python3.7/site-packages/libpysal/weights/weights.py:167: UserWarning: The weights matrix is not fully connected: \n", + " There are 3 disconnected components.\n", + " warnings.warn(message)\n", + "/Users/jgaboardi/miniconda3/envs/py3_spgh_dev/lib/python3.7/site-packages/libpysal/weights/weights.py:167: UserWarning: The weights matrix is not fully connected: \n", + " There are 3 disconnected components.\n", + " There are 2 islands with ids: (8, 10), (11, 13).\n", + " warnings.warn(message)\n" + ] + } + ], + "source": [ + "ntw = spaghetti.Network(in_data=lines)" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": { + "ExecuteTime": { + "end_time": "2020-02-23T21:33:28.222329Z", + "start_time": "2020-02-23T21:33:28.194991Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "3" + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ntw.network_n_components" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": { + "ExecuteTime": { + "end_time": "2020-02-23T21:33:28.245420Z", + "start_time": "2020-02-23T21:33:28.229194Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{0: [(0, 1),\n", + " (0, 2),\n", + " (0, 3),\n", + " (2, 7),\n", + " (4, 5),\n", + " (4, 6),\n", + " (4, 7),\n", + " (6, 14),\n", + " (6, 18),\n", + " (14, 15),\n", + " (15, 16),\n", + " (16, 17),\n", + " (17, 18)],\n", + " 1: [(8, 9), (9, 10)],\n", + " 2: [(11, 12), (12, 13)]}" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ntw.network_component2arc" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": { + "ExecuteTime": { + "end_time": "2020-02-23T21:33:28.359515Z", + "start_time": "2020-02-23T21:33:28.252238Z" + } + }, + "outputs": [], + "source": [ + "# network vertices and arcs\n", + "vertices_df, arcs_df = spaghetti.element_as_gdf(ntw, vertices=True, arcs=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": { + "ExecuteTime": { + "end_time": "2020-02-23T21:33:28.394955Z", + "start_time": "2020-02-23T21:33:28.364521Z" + } + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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1.25000, 3.75000 1.00000) 0\n", + "15 (16, 17) LINESTRING (3.75000 1.00000, 3.50000 0.75000) 0\n", + "16 (17, 18) LINESTRING (3.50000 0.75000, 3.25000 0.75000) 0" + ] + }, + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "arcs_df" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Here we can see that all the new network vertices are non-articulation point" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": { + "ExecuteTime": { + "end_time": "2020-02-23T21:33:28.423539Z", + "start_time": "2020-02-23T21:33:28.405041Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[2, 7, 9, 12, 14, 15, 16, 17, 18]" + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ntw.non_articulation_points" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Slice out the articulation points and non-articulation points" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": { + "ExecuteTime": { + "end_time": "2020-02-23T21:33:28.451306Z", + "start_time": "2020-02-23T21:33:28.434079Z" + } + }, + "outputs": [], + "source": [ + "napts = ntw.non_articulation_points\n", + "articulation_vertices = vertices_df[~vertices_df[\"id\"].isin(napts)]\n", + "non_articulation_vertices = vertices_df[vertices_df[\"id\"].isin(napts)]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### The new network vertices are non-articulation points because they form a closed ring" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": { + "ExecuteTime": { + "end_time": "2020-02-23T21:33:28.949599Z", + "start_time": "2020-02-23T21:33:28.461325Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "image/png": { + "height": 347, + "width": 427 + }, + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "base = arcs_df.plot(column=\"comp_label\", cmap=\"Set2\", linewidth=5, figsize=(7, 7))\n", + "articulation_vertices.plot(ax=base, color=\"k\", markersize=100, zorder=2)\n", + "non_articulation_vertices.plot(ax=base, marker=\"s\", color=\"k\", markersize=20, zorder=2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "-----------------------------------------------------" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 4. Longest vs. largest components — cross vs. hexagon" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": { + "ExecuteTime": { + "end_time": "2020-02-23T21:33:28.969541Z", + "start_time": "2020-02-23T21:33:28.953329Z" + } + }, + "outputs": [], + "source": [ + "cross = [\n", + " Chain([Point([0, 5]), Point([5, 5]), Point([5, 10])]),\n", + " Chain([Point([5, 0]), Point([5, 5]), Point([10, 5])]),\n", + "]\n", + "hexagon = [\n", + " Chain(\n", + " [\n", + " Point([12, 5]),\n", + " Point([13, 6]),\n", + " Point([14, 6]),\n", + " Point([15, 5]),\n", + " Point([14, 4]),\n", + " Point([13, 4]),\n", + " Point([12, 5]),\n", + " ]\n", + " ),\n", + "]\n", + "lines = cross + hexagon" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": { + "ExecuteTime": { + "end_time": "2020-02-23T21:33:28.984511Z", + "start_time": "2020-02-23T21:33:28.973959Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/jgaboardi/miniconda3/envs/py3_spgh_dev/lib/python3.7/site-packages/libpysal/weights/weights.py:167: UserWarning: The weights matrix is not fully connected: \n", + " There are 2 disconnected components.\n", + " warnings.warn(message)\n" + ] + } + ], + "source": [ + "ntw = spaghetti.Network(in_data=lines)" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": { + "ExecuteTime": { + "end_time": "2020-02-23T21:33:29.030446Z", + "start_time": "2020-02-23T21:33:28.992311Z" + } + }, + "outputs": [], + "source": [ + "# network vertices and arcs\n", + "vertices_df, arcs_df = spaghetti.element_as_gdf(ntw, vertices=True, arcs=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": { + "ExecuteTime": { + "end_time": "2020-02-23T21:33:29.539220Z", + "start_time": "2020-02-23T21:33:29.032949Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 43, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": { + "image/png": { + "height": 294, + "width": 424 + }, + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "base = arcs_df.plot(column=\"comp_label\", cmap=\"Set2\", linewidth=5, figsize=(7, 7))\n", + "vertices_df.plot(ax=base, color=\"k\", markersize=100, zorder=2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### The longest component is not necessarily the largest\n", + "##### This is because in `spaghetti` the largest compnent equates to the most vertices" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": { + "ExecuteTime": { + "end_time": "2020-02-23T21:33:29.552303Z", + "start_time": "2020-02-23T21:33:29.544715Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The longest component is 0 at 20.0 units of distance.\n", + "The largest component is 1 with 6 vertices.\n" + ] + } + ], + "source": [ + "clongest = ntw.network_longest_component\n", + "clength = round(ntw.network_component_lengths[clongest], 5)\n", + "clargest = ntw.network_largest_component\n", + "cverts = ntw.network_component_vertex_count[clargest]\n", + "print(\"The longest component is %s at %s units of distance.\" % (clongest, clength))\n", + "print(\"The largest component is %s with %s vertices.\" % (clargest, cverts))" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "ExecuteTime": { + "end_time": "2020-02-22T22:00:11.038343Z", + "start_time": "2020-02-22T22:00:11.029198Z" + } + }, + "source": [ + "### 5. Extracting components\n", + "#### Extract the longest component" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": { + "ExecuteTime": { + "end_time": "2020-02-23T21:33:29.566078Z", + "start_time": "2020-02-23T21:33:29.557048Z" + } + }, + "outputs": [], + "source": [ + "longest = spaghetti.extract_component(ntw, ntw.network_longest_component)" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": { + "ExecuteTime": { + "end_time": "2020-02-23T21:33:29.593965Z", + "start_time": "2020-02-23T21:33:29.569195Z" + } + }, + "outputs": [], + "source": [ + "# network vertices and arcs\n", + "vertices_df, arcs_df = spaghetti.element_as_gdf(longest, vertices=True, arcs=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": { + "ExecuteTime": { + "end_time": "2020-02-23T21:33:29.616332Z", + "start_time": "2020-02-23T21:33:29.597310Z" + } + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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2.00000 2.00000) 0\n", - "7 (6, 14) LINESTRING (3.00000 1.00000, 3.25000 1.25000) 0\n", - "8 (6, 18) LINESTRING (3.00000 1.00000, 3.25000 0.75000) 0\n", - "9 (8, 9) LINESTRING (0.50000 1.00000, 0.50000 0.50000) 1\n", - "10 (9, 10) LINESTRING (0.50000 0.50000, 1.00000 0.50000) 1\n", - "11 (11, 12) LINESTRING (2.00000 2.50000, 2.50000 2.50000) 2\n", - "12 (12, 13) LINESTRING (2.50000 2.50000, 2.50000 2.00000) 2\n", - "13 (14, 15) LINESTRING (3.25000 1.25000, 3.50000 1.25000) 0\n", - "14 (15, 16) LINESTRING (3.50000 1.25000, 3.75000 1.00000) 0\n", - "15 (16, 17) LINESTRING (3.75000 1.00000, 3.50000 0.75000) 0\n", - "16 (17, 18) LINESTRING (3.50000 0.75000, 3.25000 0.75000) 0" + " id geometry comp_label\n", + "0 0 POINT (0.00000 5.00000) 0\n", + "1 1 POINT (5.00000 5.00000) 0\n", + "2 2 POINT (5.00000 10.00000) 0\n", + "3 3 POINT (5.00000 0.00000) 0\n", + "4 4 POINT (10.00000 5.00000) 0" ] }, - "execution_count": 25, + "execution_count": 47, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "arcs_df" + "vertices_df" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": { + "ExecuteTime": { + "end_time": "2020-02-23T21:33:30.101928Z", + "start_time": "2020-02-23T21:33:29.620075Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 48, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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V9Z4kLx1jHHmkRarqztPsuvQLnhAAAGhhqru3bZxvr0uyPslVSb48s7M9tyZ5UZK3TTMaAADQyVRner54vq3Mzuj8p/nvD1TVtUk+nOTrq+r5j3Sp2xjjilM9Pj8DdPlyDgwAAKxNU53peXC+vfuE4EmSjDGOZXa2J0mes6pTAQAA7UwVPQfn2z87zf7jUbR+FWYBAAAamyp63pPk4SRfXVVPOMX+Z863967aRAAAQEuTRM8Y4xNJfjPJ+Ulee+K+qvrGJFcn+VSSW1Z/OgAAoJOpbmSQJD+Y5LlJfryqXpTkjiRfleTaJJ9P8soxxukufwMAAHhMJoueMcb9VfXcJD+RWeg8L8lnkuxJ8nNjjD+YajYAAKCPKc/0ZIzxQGZnfH5wyjkAAIC+prqRAQAAwKoQPQAAQGuiBwAAaE30AAAArYkeAACgNdEDAAC0JnoAAIDWRA8AANCa6AEAAFoTPQAAQGuiBwAAaE30AAAArYkeAACgNdEDAAC0JnoAAIDWRA8AANCa6AEAAFoTPQAAQGuiBwAAaE30AAAArYkeAACgNdEDAAC0JnoAAIDWRA8AANCa6AEAAFoTPQAAQGuiBwAAaE30AAAArYkeAACgNdEDAAC0JnoAAIDWRA8AANCa6AEAAFoTPQAAQGuiBwAAaE30AAAArYkeAACgNdEDAAC0JnoAAIDWRA8AANCa6AEAAFoTPQAAQGuiBwAAaE30AAAArYkeAACgNdEDAAC0JnoAAIDW1k09wNns/vvvz/79+3PgwIEcO3Ys69evz5YtW7K0tJSNGzdOPR7Awjr24Kdy5EP35MF778vDD30u6855Qi542uZsuPSirL/g/KnHA1hoZ+N7UNGzysYY2bt3b3bt2pVbb731tM+7+uqrc8MNN2Tbtm2pqlWcEGAxjTHysff/Uf74Hbflvjs+cNrnbX7Os7Lntec7fgKc4Gx/D+rytlV0+PDh7Ny5M9u3b3/EH7YkufXWW7N9+/bs3Lkzhw8fXqUJARbT8ePnLa/5548YPEly3x0fcPwEOIH3oKJn1Rw8eDBLS0vZvXv343rd7t27s7S0lIMHD67QZACLzfET4Mw5hs6InlVw+PDhXHnllTl06NAZvf7QoUO56qqrWtU2wGPh+Alw5hxD/4boWWFjjFx33XVn/MN23H333Zfrr78+Y4xlmgxgsTl+Apw5x9C/zY0MVtjevXtz8803L8tau3fvzrb/8zV56vOfvSzrASyyj73/j3KL4yfAGVnuY+g73/nObNu2bVnWm4IzPSts165dy7regZse+cNnAF388TtuW9b1HD+Bs8lyH0OX+z3tahM9K+j+++9/1DtkPF7/9Q8/kGN/9ullXRNg0Rx78FOPepe2x8vxEzhbrMQx9JZbbsmRI0eWdc3VJHpW0P79+1dk3SMfuntF1gVYFEc+dM8Krev4CfS3UsfQlXpvuxpEzwo6cODAiqz74D1f2AfSABbdg/fetzLrOn4CZ4GVOoau1Hvb1SB6VtCxY8dWZN2HH3poRdYFWBQPP/S5FVrX8RPob6WOoUePHl2RdVeD6FlB69evX5F1151zzoqsC7Ao1p3zhBVa1/ET6G+ljqHnnnvuiqy7GkTPCtqyZcuKrHvBRReuyLoAi+KCp21emXUdP4GzwEodQ1fqve1qED0raGlpaUXW3XDp01dkXYBFseHSi1ZoXcdPoL+VOoau1Hvb1SB6VtDGjRtz9dVXL+uaT3nus7L+Sect65oAi2b9Bedn83OetaxrOn4CZ4uVOIZu3bo1GzZsWNY1V9O6qQfo7oYbbljW7+r51df+XLZ93dr9NlyAx2rPa8/P9u3bl209x0/gbLLcx9Abbrhh2daagjM9K2zbtm3ZsWPHsqx17bXX5pprrlmWtQAWneMnwJlzDP3bRM8Kq6rceOONufDCL+zDs5s3b84b3/jGVNUyTQaw2Bw/Ac6cY+jfJnpWwaZNm3L77bdn8+Yzu5PG5s2bc/vtt2fTpk3LPBnAYnP8BDhzjqF/Q/SskksuuST79u173KcZd+zYkX379uXiiy9eockAFpvjJ8CZcwydET2raNOmTbnpppuyZ8+ebN269RGfu3Xr1uzZsyc33XRTi7oG+EIcP35ufd2P5CnPfeQ7Ej3luc9y/AQ4gfegSY0xpp5h2VXVnZdffvnld95559SjPKIjR45k//79OXDgQI4ePZpzzz03W7ZsydLS0pq+JSDASvne9/7fSZJjf/bpHPnQ3XnwnkN5+KGHsu6cc3LBRRdmw6VPz/onnZd/+XXfMfGkAItrrb4HveKKK3LXXXfdNca44vG+1i2rJ7Rhw4Zcc801a/5uGACrbf2TzstTn/fsPPV5z556FIA152x8D+ryNgAAoDXRAwAAtCZ6AACA1kQPAADQmugBAABaEz0AAEBrogcAAGhN9AAAAK2JHgAAoDXRAwAAtCZ6AACA1kQPAADQmugBAABaEz0AAEBrogcAAGhN9AAAAK2JHgAAoDXRAwAAtCZ6AACA1kQPAADQmugBAABaEz0AAEBrogcAAGhN9AAAAK2JHgAAoDXRAwAAtCZ6AACA1kQPAADQmugBAABaEz0AAEBrogcAAGhN9AAAAK2JHgAAoDXRAwAAtCZ6AACA1kQPAADQmugBAABaEz0AAEBrogcAAGhN9AAAAK2JHgAAoDXRAwAAtCZ6AACA1kQPAADQmugBAABaEz0AAEBrogcAAGhN9AAAAK2JHgAAoLWFiZ6qenlVjfmvV0w9DwAA0MNCRE9VPSXJriR/PvUsAABAL5NHT1VVkv8rySeT/OrE4wAAAM1MHj1JXpXkJUm+O8lfTDwLAADQzLop//CquizJzyd5wxjjPVX1ksf5+jtPs+vSL3g4AACghcnO9FTVuiT/NsnHkvzYVHMAAAC9TXmm57VJvjbJ3x9jHDuTBcYYV5zq8fkZoMu/gNkAAIAmJjnTU1XPyezszi+MMd4/xQwAAMDZYdWj54TL2j6c5CdX+88HAADOLlOc6fmyJBcnuSzJZ0/4QtKR5Kfmz/m1+WOvn2A+AACgkSk+0/NQkn91mn2XZ/Y5n/clOZjEpW8AAMAXZNWjZ37Tglecal9V/XRm0fOvxxhvWs25AACAnhbhy0kBAABWjOgBAABaW6joGWP89BijXNoGAAAsl4WKHgAAgOUmegAAgNZEDwAA0JroAQAAWhM9AABAa6IHAABoTfQAAACtiR4AAKA10QMAALQmegAAgNZEDwAA0JroAQAAWhM9AABAa6IHAABoTfQAAACtiR4AAKA10QMAALQmegAAgNZEDwAA0JroAQAAWhM9AABAa6IHAABoTfQAAACtiR4AAKA10QMAALQmegAAgNZEDwAA0JroAQAAWhM9AABAa6IHAABoTfQAAACtiR4AAKA10QMAALQmegAAgNZEDwAA0JroAQAAWhM9AABAa6IHAABoTfQAAACtiR4AAKA10QMAALQmegAAgNZEDwAA0JroAQAAWhM9AABAa6IHAABoTfQAAACtiR4AAKA10QMAALQmegAAgNZEDwAA0JroAQAAWhM9AABAa6IHAABoTfQAAACtiR4AAKA10QMAALQmegAAgNZEDwAA0JroAQAAWhM9AABAa6IHAABoTfQAAACtiR4AAKA10QMAALQmegAAgNZEDwAA0JroAQAAWhM9AABAa6IHAABoTfQAAACtiR4AAKA10QMAALQmegAAgNZEDwAA0JroAQAAWhM9AABAa6IHAABoTfQAAACtiR4AAKA10QMAALQmegAAgNZEDwAA0JroAQAAWhM9AABAa6IHAABoTfQAAACtiR4AAKA10QMAALQmegAAgNZEDwAA0JroAQAAWhM9AABAa6IHAABoTfQAAACtiR4AAKA10QMAALQmegAAgNZEDwAA0JroAQAAWhM9AABAa6IHAABoTfQAAACtiR4AAKA10QMAALQmegAAgNZEDwAA0JroAQAAWhM9AABAa6IHAABoTfQAAACtiR4AAKA10QMAALQmegAAgNZEDwAA0JroAQAAWhM9AABAa6IHAABoTfQAAACtTRI9VfXkqnpFVf1WVX20qo5V1aeq6n1V9T1VJcYAAIBlsW6iP/dlSW5M8vEk707ysSR/J8nOJG9Kck1VvWyMMSaaDwAAaGKq6Plwkm9JsmeM8VfHH6yqH0tyR5JvyyyA3jHNeAAAQBeTXEY2xnjXGOPfnRg888cPJ/nV+W9fvOqDAQAA7SziZ2f+cr59eNIpAACAFqa6vO2Uqmpdku+c//aWx/D8O0+z69JlGwoAAFjTFu1Mz88neWaSvWOMW6ceBgAAWPsW5kxPVb0qyQ8l+VCSlz+W14wxrjjNWncmuXz5pgMAANaqhTjTU1Xfl+QNSf4kyTeMMR6YeCQAAKCJyaOnql6d5F8k+ePMgufwxCMBAACNTBo9VfWaJL+U5D9mFjz3TzkPAADQz2TRU1U/mdmNC+5McuUY4xNTzQIAAPQ1yY0Mquq7kvxsks8neW+SV1XVyU+7d4zxllUeDQAAaGaqu7ddNN9+cZJXn+Y5/yHJW1ZlGgAAoK1JLm8bY/z0GKMe5deLp5gNAADoZfK7twEAAKwk0QMAALQmegAAgNZEDwAA0JroAQAAWhM9AABAa6IHAABoTfQAAACtiR4AAKA10QMAALQmegAAgNZEDwAA0JroAQAAWhM9AABAa6IHAABoTfQAAACtiR4AAKA10QMAALQmegAAgNZEDwAA0JroAQAAWhM9AABAa6IHAABoTfQAAACtiR4AAKA10QMAALQmegAAgNZEDwAA0JroAQAAWhM9AABAa6IHAABoTfQAAACtiR4AAKA10QMAALQmegAAgNZEDwAA0JroAQAAWhM9AABAa6IHAABoTfQAAACtiR4AAKA10QMAALQmegAAgNZEDwAA0JroAQAAWhM9AABAa6IHAABoTfQAAACtiR4AAKA10QMAALQmegAAgNZEDwAA0JroAQAAWhM9AABAa6IHAABoTfQAAACtiR4AAKA10QMAALQmegAAgNZEDwAA0JroAQAAWhM9AABAa6IHAABoTfQAAACtiR4AAKA10QMAALQmegAAgNZEDwAA0JroAQAAWhM9AABAa6IHAABoTfQAAACtiR4AAKA10QMAALQmegAAgNZEDwAA0JroAQAAWhM9AABAa6IHAABoTfQAAACtiR4AAKA10QMAALQmegAAgNZEDwAA0JroAQAAWhM9AABAa6IHAABoTfQAAACtiR4AAKA10QMAALQmegAAgNZEDwAA0JroAQAAWhM9AABAa6IHAABoTfQAAACtiR4AAKA10QMAALQmegAAgNZEDwAA0JroAQAAWhM9AABAa6IHAABoTfQAAACtiR4AAKA10QMAALQmegAAgNZEDwAA0JroAQAAWhM9AABAa6IHAABoTfQAAACtiR4AAKA10QMAALS2buoBAODxOvbgp3LkQ/fkwXvvy8MPfS7rznlCLnja5my49KKsv+D8qccDYMGIHgDWhDFGPvb+P8ofv+O23HfHB077vM3PeVb2vPb8bNu2LVW1ihMCsKhc3gbAwjt8+HB27tyZW17zzx8xeJLkvjs+kO3bt2fnzp05fPjwKk0IwCITPQAstIMHD2ZpaSm7d+9+XK/bvXt3lpaWcvDgwRWaDIC1QvQAsLAOHz6cK6+8MocOHTqj1x86dChXXXWVMz4AZznRA8BCGmPkuuuuO+PgOe6+++7L9ddfnzHGMk0GwFozafRU1eaqenNV/beqeqiq7q2q11fVBVPOBcD09u7dm5tvvnlZ1tq9e3fe+c53LstaAKw9k0VPVT0jyZ1JvjvJHUl+KcndSb4/yfur6slTzQbA9Hbt2rXQ6wGwdkx5pueNSTYmedUYY8cY4x+NMV6SWfxckuSfTjgbABO6//77c+utty7rmrfcckuOHDmyrGsCsDZMEj1V9fQk35Tk3iS/ctLun0ryF0leXlVPXOXRAFgA+/fvX1PrArDYpjrT85L59rYxxl+duGOM8Zkkv5fk3CTPe6RFqurOU/1KcumKTA3Aqjhw4MCaWheAxTZV9Fwy3374NPs/Mt9evAqzALBgjh07tiLrHj16dEXWBWCxrZvozz1/vv3UafYff23mtpYAAAs8SURBVPxJj7TIGOOKUz0+P9tz+ZmNBsDU1q9fvyLrnnvuuSuyLgCLbVG/p6fmW1+qAHAW2rJly5paF4DFNlX0HD+Tc/5p9p930vMAOIssLS2tqXUBWGxTRc/B+fZ0n9n56vn2dJ/5AaCxjRs35uqrr17WNbdu3ZoNGzYs65oArA1TRc+759tvqqq/NUNVfXmSFyY5luQPVnswABbDDTfcsNDrAbB2TBI9Y4z/nOS2JE9L8n0n7f6ZJE9M8m/GGH+xyqMBsCC2bduWHTt2LMta1157ba655pplWQuAtWfKGxn870nuT/LLVbW7qn6uqt6V5Acyu6ztxyecDYCJVVVuvPHGXHjhhV/QOps3b84b3/jGVNWjPxmAliaLnvnZnqUkb0ny3CQ/lOQZSX45yfPHGJ+cajYAFsOmTZty++23Z/PmzWf0+s2bN+f222/Ppk2blnkyANaSSW9ZPcb4r2OM7x5j/A9jjCeMMb5qjPH9Y4wHppwLgMVxySWXZN++fY/7UrcdO3Zk3759ufhi33MNcLZb1O/pAYC/tmnTptx0003Zs2dPtm7d+ojP3bp1a/bs2ZObbrrJGR4AkiTrph4AAB6Lqsq2bduybdu2HDlyJPv378+BAwdy9OjRnHvuudmyZUuWlpbclhqA/47oAWDN2bBhQ6655hp3ZAPgMXF5GwAA0JroAQAAWhM9AABAa6IHAABoTfQAAACtiR4AAKA10QMAALQmegAAgNZEDwAA0JroAQAAWhM9AABAa6IHAABoTfQAAACtiR4AAKA10QMAALQmegAAgNZEDwAA0JroAQAAWhM9AABAa6IHAABoTfQAAACtiR4AAKA10QMAALQmegAAgNZEDwAA0JroAQAAWhM9AABAa6IHAABoTfQAAACtiR4AAKA10QMAALRWY4ypZ1h2VfXJ9evXf8Vll1029SgAAMAy+OAHP5hjx449MMZ48uN9bdfouSfJeUnunXiUx+rS+fZDk07BIvKzwan4ueB0/GxwKn4uOJ219rPxtCSfHmNc9Hhf2DJ61pqqujNJxhhXTD0Li8XPBqfi54LT8bPBqfi54HTOpp8Nn+kBAABaEz0AAEBrogcAAGhN9AAAAK2JHgAAoDV3bwMAAFpzpgcAAGhN9AAAAK2JHgAAoDXRAwAAtCZ6AACA1kQPAADQmugBAABaEz0TqqrNVfXmqvpvVfVQVd1bVa+vqgumno1pVNWTq+oVVfVbVfXRqjpWVZ+qqvdV1fdUlf/P8teq6uVVNea/XjH1PEyrqr6uqt5RVR+f/53y8aq6raq2TT0b06iqb57/DNw3//vk7qp6W1U9f+rZWFlV9dKq2lVV762qT8//nvj1R3nNC6pqb1U9UFVHq+oDVfXqqvri1Zp7Ja2beoCzVVU9I8nvJ9mY5OYkH0rynCTfn2RrVb1wjPHJCUdkGi9LcmOSjyd5d5KPJfk7SXYmeVOSa6rqZcO3Cp/1quopSXYl+fMkXzbxOEysqn4iyT9O8okkv5PZMeQrk3xtkhcn2TvZcEyiql6X5EeTfDLJ7sx+Nv5ukm9N8m1V9Z1jjEd8E8ya9hNJ/qfM/o64L8mlj/TkqvrWJO9I8tkkv5nkgST/c5JfSvLCzN6frGnlvdM0qurWJN+U5FVjjF0nPP6LSX4gyb8cY1w31XxMo6pekuSJSfaMMf7qhMc3JbkjyVOSvHSM8Y6JRmQBVFUl+fdJLkpyU5IfTvLKMcabJh2MSVTVy5L8v0l+N8nOMcZnTtr/JWOMv5xkOCYx/zvjUJIjSZ41xrj/hH3fkORdSe4ZYzx9ohFZYfP/ne9L8tEkX5/ZP6T+xhjjH5ziuefNn3d+kheOMfbPH//SzH5Wnp/kfx1jvHWVxl8RLpWZQFU9PbPguTfJr5y0+6eS/EWSl1fVE1d5NCY2xnjXGOPfnRg888cPJ/nV+W9fvOqDsWheleQlSb47s+MFZ6n5Ja+vS3I0yXecHDxJInjOSl+V2Xu8PzwxeJJkjPHuJJ9JsmGKwVgdY4x3jzE+8hivDHlpZj8Pbz0ePPM1PpvZGaMkuX4FxlxVomcaL5lvbzvFm9vPJPm9JOcmed5qD8ZCO/7G5eFJp2BSVXVZkp9P8oYxxnumnofJvSCzM357kzw4/wzHa6rq+31u46z2kSSfS/KcqvrKE3dU1YuSfHlmZwYh+Zv3pbecYt97MvtHlRdU1TmrN9Ly85meaVwy3374NPs/ktmZoIuT3L4qE7HQqmpdku+c//ZUByXOAvOfg3+b2We9fmzicVgMf2++/dMkdyX5mhN3VtV7Mrsk9shqD8Z0xhgPVNVrkvxikj+pqt2ZfbbnGUm+JbPLY793whFZLKd9XzrGeLiq7kmyJcnTk3xwNQdbTqJnGufPt586zf7jjz9pFWZhbfj5JM9MsneMcevUwzCZ12b2wfS/P8Y4NvUwLISN8+11Se5JclWSP8zs8qZfSHJ1krfFZbFnnTHG66vq3iRvTvLKE3Z9NMlbTr7sjbPaWfG+1OVti6nmW3eZIFX1qiQ/lNkd/l4+8ThMpKqek9nZnV8YY7x/6nlYGMdvJVuZndG5fYzx52OMA0muzeyDzF/vUrezT1X9aJK3J3lLZmd4npjkiiR3J/mNqvpn003HGtPifanomcbxYj7/NPvPO+l5nKWq6vuSvCHJnyT5hjHGAxOPxAROuKztw0l+cuJxWCwPzrd3jzH+04k75mcDj58Zfs6qTsWkqurFmd3g4rfHGD84xrh7jHF0jHFXZjF8KMkPzW+sBGfF+1LRM42D8+3Fp9n/1fPt6T7zw1mgql6d5F8k+ePMgufwxCMxnS/L7HhxWZLPnvCFpCOzOz4mya/NH3v9ZFMyheN/n/zZafYfj6L1qzALi2P7fPvuk3eMMY5m9hUIX5TZ5bJw2vel8390uyizmyjdvZpDLTef6ZnG8YPQN1XVF530fSxfntmXQB1L8gdTDMf05h9A/fkk/zHJN44xPjHxSEzroST/6jT7Ls/sjcv7MvuLy6VvZ5f3ZPZm5Kur6gljjM+dtP+Z8+29qzoVUzt+l63T3Zb6+OMn/7xwdnpXkv8tydYk/89J+16U2R2F3zPGeGi1B1tOzvRMYIzxn5PcluRpSb7vpN0/k9l1t/9mjOH7N85CVfWTmQXPnUmuFDyMMY6NMV5xql9Jfnv+tH89f+w3p5yV1TU/PvxmZpelvPbEfVX1jZndyOBTcdfHs81759t/WFUXnrijqq7J7B9XP5vk91d7MBbS25N8Ism3V9XS8QfnX076T+a/vXGKwZZTPbbvLGK5VdUzMjvYbExyc2a3AHxukm/I7LK2F4wxPjndhEyhqr4rsw+dfj7Jrpz6+tl7xxhvWcWxWGBV9dOZXeL2yjHGmyYehwlU1cbMvt/t72b2ZveOzO7edm1mHzz+jjHG26abkNU2/9LaWzO7m99nkvxWksOZXSK7PbMPpr96jPGGyYZkRVXVjiQ75r/dlNk/gNydvwniT4wxfvik5789sxh+a5IHMru9+SXzx/+Xx/hFpwtL9Eyoqp6S5GczO5345CQfT7I7yc/4wPrZ6YQ3sI/kP4wxXrzy07AWiB6SpKq+IrNvTr82yYWZvdF9X5KfG2O4VPosVFVfktnVJN+e5H/M7BKlBzKL4l8eY9w24XissMfwfuK/jDGedtJrXpjkx5M8P8mXZnZ78zdn9vPy+ZWZdPWIHgAAoDWf6QEAAFoTPQAAQGuiBwAAaE30AAAArYkeAACgNdEDAAC0JnoAAIDWRA8AANCa6AEAAFoTPQAAQGuiBwAAaE30AAAArYkeAACgNdEDAAC0JnoAAIDWRA8AANCa6AEAAFr7/wHk95Y9Pa5AowAAAABJRU5ErkJggg==\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "image/png": { + "height": 411, + "width": 414 + }, + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "base = arcs_df.plot(column=\"comp_label\", cmap=\"Set2\", linewidth=5, figsize=(7, 7))\n", + "vertices_df.plot(ax=base, color=\"k\", markersize=100, zorder=2)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "#### Here we can see that all the new network vertices are non-articulation point" + "#### Extract the largest component and plot" ] }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 49, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:29:48.224985Z", - "start_time": "2020-02-19T01:29:48.206224Z" + "end_time": "2020-02-23T21:33:30.566398Z", + "start_time": "2020-02-23T21:33:30.109518Z" } }, "outputs": [ { "data": { "text/plain": [ - "[2, 7, 9, 12, 14, 15, 16, 17, 18]" + "" ] }, - "execution_count": 26, + "execution_count": 49, "metadata": {}, "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "image/png": { + "height": 294, + "width": 427 + }, + "needs_background": "light" + }, + "output_type": "display_data" } ], "source": [ - "ntw.non_articulation_points" + "largest = spaghetti.extract_component(ntw, ntw.network_largest_component)\n", + "# network vertices and arcs\n", + "vertices_df, arcs_df = spaghetti.element_as_gdf(largest, vertices=True, arcs=True)\n", + "base = arcs_df.plot(column=\"comp_label\", cmap=\"Set2\", linewidth=5, figsize=(7, 7))\n", + "vertices_df.plot(ax=base, color=\"k\", markersize=100, zorder=2)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "#### Slice out the articulation points and non-articulation points" + "#### Empirical Example — New Haven, Connecticut" ] }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 50, + "metadata": { + "ExecuteTime": { + "end_time": "2020-02-23T21:34:46.761593Z", + "start_time": "2020-02-23T21:33:30.570225Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/jgaboardi/miniconda3/envs/py3_spgh_dev/lib/python3.7/site-packages/libpysal/weights/weights.py:167: UserWarning: The weights matrix is not fully connected: \n", + " There are 21 disconnected components.\n", + " There are 7 islands with ids: (1494, 1495), (2129, 2130), (3756, 3757), (8669, 8670), (9611, 9612), (11152, 11153), (11228, 11229).\n", + " warnings.warn(message)\n" + ] + } + ], + "source": [ + "newhaven = libpysal.examples.get_path(\"newhaven_nework.shp\")\n", + "ntw = spaghetti.Network(in_data=newhaven, extractgraph=False)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Extract the longest component" + ] + }, + { + "cell_type": "code", + "execution_count": 51, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:29:48.257055Z", - "start_time": "2020-02-19T01:29:48.235507Z" + "end_time": "2020-02-23T21:35:58.447454Z", + "start_time": "2020-02-23T21:34:46.764018Z" } }, "outputs": [], "source": [ - "napts = ntw.non_articulation_points\n", - "articulation_vertices = vertices_df[~vertices_df[\"id\"].isin(napts)]\n", - "non_articulation_vertices = vertices_df[vertices_df[\"id\"].isin(napts)]" + "longest = spaghetti.extract_component(ntw, ntw.network_longest_component)" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": { + "ExecuteTime": { + "end_time": "2020-02-23T21:36:14.726068Z", + "start_time": "2020-02-23T21:35:58.449860Z" + } + }, + "outputs": [], + "source": [ + "# network vertices and arcs\n", + "vertices_df, arcs_df = spaghetti.element_as_gdf(ntw, vertices=True, arcs=True)\n", + "arcs_df.crs = \"epsg:4269\"\n", + "arcs_df = arcs_df.to_crs(\"epsg:6433\")" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": { + "ExecuteTime": { + "end_time": "2020-02-23T21:36:30.804168Z", + "start_time": "2020-02-23T21:36:14.728801Z" + } + }, + "outputs": [], + "source": [ + "# longest vertices and arcs\n", + "lc_vertices, lc_arcs = spaghetti.element_as_gdf(longest, vertices=True, arcs=True)\n", + "lc_arcs.crs = \"epsg:4269\"\n", + "lc_arcs = lc_arcs.to_crs(\"epsg:6433\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "#### The new network vertices are non-articulation points because they form a closed ring" + "#### Filter non-longest component arcs" ] }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 54, + "metadata": { + "ExecuteTime": { + "end_time": "2020-02-23T21:36:30.845069Z", + "start_time": "2020-02-23T21:36:30.806524Z" + } + }, + "outputs": [], + "source": [ + "nlc = ntw.network_longest_component\n", + "arcs_df = arcs_df[arcs_df.comp_label != nlc]\n", + "ocomp = list(set(ntw.network_component_labels))\n", + "ocomp.remove(nlc)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Plot network arcs" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": { + "ExecuteTime": { + "end_time": "2020-02-23T21:36:30.854945Z", + "start_time": "2020-02-23T21:36:30.847377Z" + } + }, + "outputs": [], + "source": [ + "def legend(objects):\n", + " \"\"\"Add a legend to a plot\"\"\"\n", + " patches = make_patches(*objects)\n", + " kws = {\"fancybox\": True, \"framealpha\": 0.85, \"fontsize\": \"x-large\"}\n", + " kws.update({\"loc\": \"lower left\", \"labelspacing\": 2.0, \"borderpad\": 2.0})\n", + " legend = matplotlib.pyplot.legend(handles=patches, **kws)\n", + " legend.get_frame().set_facecolor(\"white\")" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": { + "ExecuteTime": { + "end_time": "2020-02-23T21:36:30.868406Z", + "start_time": "2020-02-23T21:36:30.862396Z" + } + }, + "outputs": [], + "source": [ + "def make_patches(comp_type, in_comp, oc):\n", + " \"\"\"Create patches for legend\"\"\"\n", + " labels_colors_alpha = [\n", + " [\"%s component: %s\" % (comp_type.capitalize(), in_comp), \"k\", 0.5],\n", + " [\"Other components: %s-%s\" % (oc[0], oc[1]), \"r\", 1],\n", + " ]\n", + " patches = []\n", + " for l, c, a in labels_colors_alpha:\n", + " p = matplotlib.lines.Line2D([], [], lw=2, label=l, c=c, alpha=a)\n", + " patches.append(p)\n", + " return patches" + ] + }, + { + "cell_type": "code", + "execution_count": 57, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:29:48.703504Z", - "start_time": "2020-02-19T01:29:48.259432Z" + "end_time": "2020-02-23T21:36:32.103103Z", + "start_time": "2020-02-23T21:36:30.870699Z" } }, "outputs": [ { "data": { - "image/png": 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\n", 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" + "" + ] + }, + "execution_count": 57, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" ] }, "metadata": { "image/png": { - "height": 347, - "width": 427 + "height": 574, + "width": 619 }, "needs_background": "light" }, @@ -1159,16 +2222,20 @@ } ], "source": [ - "base = arcs_df.plot(column=\"comp_label\", cmap=\"Set2\", linewidth=5, figsize=(7, 7))\n", - "articulation_vertices.plot(ax=base, color=\"k\", markersize=100, zorder=2)\n", - "non_articulation_vertices.plot(ax=base, marker=\"s\", color=\"k\", markersize=20, zorder=2);" + "base = arcs_df.plot(color=\"r\", alpha=1, linewidth=3, figsize=(10, 10))\n", + "lc_arcs.plot(ax=base, color=\"k\", linewidth=2, alpha=0.5, zorder=2)\n", + "# add legend\n", + "legend((\"longest\", nlc, (ocomp[0], ocomp[-1])))\n", + "# add scale bar\n", + "scalebar = ScaleBar(3, units=\"m\", location=\"lower right\")\n", + "base.add_artist(scalebar)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "-----------------------------------------------------" + "---------------------------------------" ] } ], diff --git a/docsrc/notebooks/facility-location.ipynb b/docsrc/notebooks/facility-location.ipynb index 75b543df..53dc8d90 100644 --- a/docsrc/notebooks/facility-location.ipynb +++ b/docsrc/notebooks/facility-location.ipynb @@ -28,8 +28,8 @@ "execution_count": 1, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:06:37.675535Z", - "start_time": "2020-02-19T02:06:37.403001Z" + "end_time": "2020-02-23T21:45:36.425425Z", + "start_time": "2020-02-23T21:45:36.030912Z" } }, "outputs": [ @@ -37,7 +37,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "2020-02-18T21:06:37-05:00\n", + "2020-02-23T16:45:36-05:00\n", "\n", "CPython 3.7.3\n", "IPython 7.10.2\n", @@ -62,8 +62,8 @@ "execution_count": 2, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:06:39.772844Z", - "start_time": "2020-02-19T02:06:37.680875Z" + "end_time": "2020-02-23T21:45:39.573195Z", + "start_time": "2020-02-23T21:45:36.431348Z" } }, "outputs": [ @@ -72,15 +72,15 @@ "output_type": "stream", "text": [ "watermark 2.0.2\n", - "ortools 7.4.7247\n", - "matplotlib 3.1.2\n", "libpysal 4.2.0\n", - "spaghetti 1.4.1\n", - "geopandas 0.6.2\n", + "matplotlib 3.1.2\n", + "ortools 7.4.7247\n", + "spaghetti 1.4.2\n", "shapely 1.7.0\n", - "matplotlib_scalebar 0.6.1\n", - "numpy 1.17.3\n", "seaborn 0.9.0\n", + "numpy 1.17.3\n", + "matplotlib_scalebar 0.6.1\n", + "geopandas 0.6.2\n", "\n" ] } @@ -116,8 +116,8 @@ "execution_count": 3, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:06:39.787292Z", - "start_time": "2020-02-19T02:06:39.781079Z" + "end_time": "2020-02-23T21:45:39.588119Z", + "start_time": "2020-02-23T21:45:39.580165Z" } }, "outputs": [], @@ -177,8 +177,8 @@ "execution_count": 4, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:06:39.800182Z", - "start_time": "2020-02-19T02:06:39.793967Z" + "end_time": "2020-02-23T21:45:39.614335Z", + "start_time": "2020-02-23T21:45:39.595117Z" } }, "outputs": [], @@ -212,8 +212,8 @@ "execution_count": 5, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:06:39.868376Z", - "start_time": "2020-02-19T02:06:39.804214Z" + "end_time": "2020-02-23T21:45:39.730301Z", + "start_time": "2020-02-23T21:45:39.622109Z" } }, "outputs": [], @@ -690,8 +690,8 @@ "execution_count": 6, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:06:39.882561Z", - "start_time": "2020-02-19T02:06:39.872917Z" + "end_time": "2020-02-23T21:45:39.744186Z", + "start_time": "2020-02-23T21:45:39.733281Z" } }, "outputs": [], @@ -733,8 +733,8 @@ "execution_count": 7, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:06:39.925852Z", - "start_time": "2020-02-19T02:06:39.886394Z" + "end_time": "2020-02-23T21:45:39.785574Z", + "start_time": "2020-02-23T21:45:39.748214Z" } }, "outputs": [], @@ -949,8 +949,8 @@ "execution_count": 8, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:06:39.956020Z", - "start_time": "2020-02-19T02:06:39.940968Z" + "end_time": "2020-02-23T21:45:39.805801Z", + "start_time": "2020-02-23T21:45:39.790874Z" } }, "outputs": [], @@ -1026,8 +1026,8 @@ "execution_count": 9, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:06:39.972097Z", - "start_time": "2020-02-19T02:06:39.962522Z" + "end_time": "2020-02-23T21:45:39.819122Z", + "start_time": "2020-02-23T21:45:39.810533Z" } }, "outputs": [], @@ -1058,8 +1058,8 @@ "execution_count": 10, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:06:39.984403Z", - "start_time": "2020-02-19T02:06:39.976878Z" + "end_time": "2020-02-23T21:45:39.828002Z", + "start_time": "2020-02-23T21:45:39.823755Z" } }, "outputs": [], @@ -1079,8 +1079,8 @@ "execution_count": 11, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:06:40.020811Z", - "start_time": "2020-02-19T02:06:39.989676Z" + "end_time": "2020-02-23T21:45:39.875463Z", + "start_time": "2020-02-23T21:45:39.831530Z" } }, "outputs": [], @@ -1263,8 +1263,8 @@ "execution_count": 12, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:06:40.031763Z", - "start_time": "2020-02-19T02:06:40.023711Z" + "end_time": "2020-02-23T21:45:39.892855Z", + "start_time": "2020-02-23T21:45:39.882911Z" } }, "outputs": [], @@ -1299,8 +1299,8 @@ "execution_count": 13, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:06:40.049369Z", - "start_time": "2020-02-19T02:06:40.037980Z" + "end_time": "2020-02-23T21:45:39.905017Z", + "start_time": "2020-02-23T21:45:39.898851Z" } }, "outputs": [], @@ -1342,8 +1342,8 @@ "execution_count": 14, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:06:40.063284Z", - "start_time": "2020-02-19T02:06:40.055741Z" + "end_time": "2020-02-23T21:45:39.920073Z", + "start_time": "2020-02-23T21:45:39.911785Z" } }, "outputs": [], @@ -1381,8 +1381,8 @@ "execution_count": 15, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:06:40.080138Z", - "start_time": "2020-02-19T02:06:40.069722Z" + "end_time": "2020-02-23T21:45:39.941116Z", + "start_time": "2020-02-23T21:45:39.929858Z" } }, "outputs": [], @@ -1426,8 +1426,8 @@ "execution_count": 16, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:06:40.103144Z", - "start_time": "2020-02-19T02:06:40.087212Z" + "end_time": "2020-02-23T21:45:39.964862Z", + "start_time": "2020-02-23T21:45:39.950275Z" } }, "outputs": [], @@ -1475,8 +1475,8 @@ "execution_count": 17, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:06:40.122896Z", - "start_time": "2020-02-19T02:06:40.106163Z" + "end_time": "2020-02-23T21:45:40.003325Z", + "start_time": "2020-02-23T21:45:39.978367Z" } }, "outputs": [], @@ -1540,8 +1540,8 @@ "execution_count": 18, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:06:40.140715Z", - "start_time": "2020-02-19T02:06:40.127479Z" + "end_time": "2020-02-23T21:45:40.031402Z", + "start_time": "2020-02-23T21:45:40.009010Z" } }, "outputs": [], @@ -1605,8 +1605,8 @@ "execution_count": 19, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:06:40.539228Z", - "start_time": "2020-02-19T02:06:40.146158Z" + "end_time": "2020-02-23T21:45:40.593164Z", + "start_time": "2020-02-23T21:45:40.042685Z" } }, "outputs": [ @@ -1704,8 +1704,8 @@ "execution_count": 20, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:06:41.109332Z", - "start_time": "2020-02-19T02:06:40.542511Z" + "end_time": "2020-02-23T21:45:41.409082Z", + "start_time": "2020-02-23T21:45:40.599926Z" } }, "outputs": [ @@ -1750,8 +1750,8 @@ "execution_count": 21, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:06:41.293662Z", - "start_time": "2020-02-19T02:06:41.117308Z" + "end_time": "2020-02-23T21:45:41.693660Z", + "start_time": "2020-02-23T21:45:41.415928Z" } }, "outputs": [ @@ -1816,8 +1816,8 @@ "execution_count": 22, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:06:41.957915Z", - "start_time": "2020-02-19T02:06:41.299549Z" + "end_time": "2020-02-23T21:45:42.573802Z", + "start_time": "2020-02-23T21:45:41.701569Z" } }, "outputs": [ @@ -1860,8 +1860,8 @@ "execution_count": 23, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:06:42.457202Z", - "start_time": "2020-02-19T02:06:41.982733Z" + "end_time": "2020-02-23T21:45:43.330856Z", + "start_time": "2020-02-23T21:45:42.635649Z" } }, "outputs": [], @@ -1886,8 +1886,8 @@ "execution_count": 24, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:06:42.476127Z", - "start_time": "2020-02-19T02:06:42.465695Z" + "end_time": "2020-02-23T21:45:43.437773Z", + "start_time": "2020-02-23T21:45:43.419887Z" } }, "outputs": [], @@ -1908,8 +1908,8 @@ "execution_count": 25, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:06:43.664342Z", - "start_time": "2020-02-19T02:06:42.481892Z" + "end_time": "2020-02-23T21:45:44.669093Z", + "start_time": "2020-02-23T21:45:43.455862Z" } }, "outputs": [ @@ -1952,8 +1952,8 @@ "execution_count": 26, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:06:43.691584Z", - "start_time": "2020-02-19T02:06:43.667228Z" + "end_time": "2020-02-23T21:45:44.701356Z", + "start_time": "2020-02-23T21:45:44.671915Z" } }, "outputs": [ @@ -2050,8 +2050,8 @@ "execution_count": 27, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:06:43.796504Z", - "start_time": "2020-02-19T02:06:43.700252Z" + "end_time": "2020-02-23T21:45:44.838438Z", + "start_time": "2020-02-23T21:45:44.712938Z" } }, "outputs": [], @@ -2071,8 +2071,8 @@ "execution_count": 28, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:06:44.139500Z", - "start_time": "2020-02-19T02:06:43.799047Z" + "end_time": "2020-02-23T21:45:45.187177Z", + "start_time": "2020-02-23T21:45:44.843289Z" } }, "outputs": [], @@ -2104,8 +2104,8 @@ "execution_count": 29, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:06:45.156851Z", - "start_time": "2020-02-19T02:06:44.141942Z" + "end_time": "2020-02-23T21:45:46.172306Z", + "start_time": "2020-02-23T21:45:45.189761Z" } }, "outputs": [ @@ -2150,8 +2150,8 @@ "execution_count": 30, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:06:45.466883Z", - "start_time": "2020-02-19T02:06:45.160062Z" + "end_time": "2020-02-23T21:45:46.618097Z", + "start_time": "2020-02-23T21:45:46.175106Z" } }, "outputs": [ @@ -2192,8 +2192,8 @@ "execution_count": 31, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:06:45.659343Z", - "start_time": "2020-02-19T02:06:45.470372Z" + "end_time": "2020-02-23T21:45:46.847157Z", + "start_time": "2020-02-23T21:45:46.626856Z" } }, "outputs": [ @@ -2201,7 +2201,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Solve Time: 0.0029166725 minutes\n", + "Solve Time: 0.0032166731000000002 minutes\n", "Obj. Value: 4.0 facilities needed for total coverage within a 1000.000000 meter service radius\n", "--- 0 clients are not covered\n", "--- 400 clients are covered by 1 facility\n", @@ -2228,8 +2228,8 @@ "execution_count": 32, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:06:49.371265Z", - "start_time": "2020-02-19T02:06:45.662421Z" + "end_time": "2020-02-23T21:45:50.618613Z", + "start_time": "2020-02-23T21:45:46.854452Z" } }, "outputs": [ @@ -2275,8 +2275,8 @@ "execution_count": 33, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:06:50.173222Z", - "start_time": "2020-02-19T02:06:49.373467Z" + "end_time": "2020-02-23T21:45:51.447308Z", + "start_time": "2020-02-23T21:45:50.621958Z" } }, "outputs": [ @@ -2284,7 +2284,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Solve Time: 0.0131333596 minutes\n", + "Solve Time: 0.0135166937 minutes\n", "Obj. Value: 898919.1804203619 total weighted distance with 3 selected facilities\n", "Mean weighted distance per person: 562.527647\n" ] @@ -2309,8 +2309,8 @@ "execution_count": 34, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:06:51.748451Z", - "start_time": "2020-02-19T02:06:50.175616Z" + "end_time": "2020-02-23T21:45:53.037789Z", + "start_time": "2020-02-23T21:45:51.455071Z" } }, "outputs": [ @@ -2356,8 +2356,8 @@ "execution_count": 35, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:06:54.820511Z", - "start_time": "2020-02-19T02:06:51.750758Z" + "end_time": "2020-02-23T21:45:56.296223Z", + "start_time": "2020-02-23T21:45:53.040813Z" } }, "outputs": [ @@ -2365,7 +2365,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Solve Time: 0.0509334352 minutes\n", + "Solve Time: 0.0540334414 minutes\n", "Obj. Value: 1024.6199825236833 worst case distance with 3 selected facilities\n" ] } @@ -2387,8 +2387,8 @@ "execution_count": 36, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:06:56.377420Z", - "start_time": "2020-02-19T02:06:54.825847Z" + "end_time": "2020-02-23T21:45:58.053021Z", + "start_time": "2020-02-23T21:45:56.304214Z" } }, "outputs": [ @@ -2434,8 +2434,8 @@ "execution_count": 37, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:06:56.593814Z", - "start_time": "2020-02-19T02:06:56.379701Z" + "end_time": "2020-02-23T21:45:58.340888Z", + "start_time": "2020-02-23T21:45:58.056319Z" } }, "outputs": [ @@ -2443,7 +2443,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Solve Time: 0.0033666734000000003 minutes\n", + "Solve Time: 0.0043666754000000006 minutes\n", "Obj. Value: 1312.0 residents within 800.000000 meters of 3 selected facilities\n", "Percent of 1598 clients covered: 82.102628\n", "--- 73 clients are not covered\n", @@ -2471,8 +2471,8 @@ "execution_count": 38, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:06:58.026654Z", - "start_time": "2020-02-19T02:06:56.597531Z" + "end_time": "2020-02-23T21:45:59.966442Z", + "start_time": "2020-02-23T21:45:58.347911Z" } }, "outputs": [ @@ -2518,8 +2518,8 @@ "execution_count": 39, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:06:58.032349Z", - "start_time": "2020-02-19T02:06:58.028998Z" + "end_time": "2020-02-23T21:45:59.973578Z", + "start_time": "2020-02-23T21:45:59.970599Z" } }, "outputs": [], @@ -2541,8 +2541,8 @@ "execution_count": 40, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:06:58.141655Z", - "start_time": "2020-02-19T02:06:58.050923Z" + "end_time": "2020-02-23T21:46:00.141604Z", + "start_time": "2020-02-23T21:45:59.993307Z" } }, "outputs": [ @@ -2550,91 +2550,91 @@ "data": { "text/html": [ "
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{'abs_min': 'Absolute min dist to assigned facility', 'abs_max': 'Absolute max dist to assigned facility', 'mean_means': 'Mean of mean dists per client to assigned facility', 'mean_stds': 'Mean of StD dists per client to assigned facility'}
stats lscp pmp pcp mclp
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{'abs_min': 'Absolute min dist to assigned facility', 'abs_max': 'Absolute max dist to assigned facility', 'mean_means': 'Mean of mean dists per client to assigned facility', 'mean_stds': 'Mean of StD dists per client to assigned facility'}
stats lscp pmp pcp mclp
0abs_min0.9189220.91892212.74550.9189220abs_min0.9189220.91892212.74550.918922
1abs_max998.5261224.281024.62799.2281abs_max998.5261224.281024.62799.228
2mean_means645.324565.138591.621497.5172mean_means645.324565.138591.621497.517
3mean_stds245.521263.8244.652214.7083mean_stds245.521263.8244.652214.708
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lscp pmp pcp mclp $\\sum$ $\\%$
y[0]$\\notin$$\\notin$$\\notin$$\\notin$00y[0]$\\notin$$\\notin$$\\notin$$\\notin$00
y[1]$\\notin$$\\notin$$\\in$$\\notin$125y[1]$\\notin$$\\notin$$\\in$$\\notin$125
y[2]$\\notin$$\\notin$$\\notin$$\\notin$00y[2]$\\notin$$\\notin$$\\notin$$\\notin$00
y[3]$\\in$$\\notin$$\\in$$\\notin$250y[3]$\\in$$\\notin$$\\in$$\\notin$250
y[4]$\\in$$\\in$$\\notin$$\\in$375y[4]$\\in$$\\in$$\\notin$$\\in$375
y[5]$\\notin$$\\notin$$\\notin$$\\notin$00y[5]$\\notin$$\\notin$$\\notin$$\\notin$00
y[6]$\\in$$\\in$$\\in$$\\in$4100y[6]$\\in$$\\in$$\\in$$\\in$4100
y[7]$\\notin$$\\notin$$\\notin$$\\notin$00y[7]$\\notin$$\\notin$$\\notin$$\\notin$00
y[8]$\\notin$$\\notin$$\\notin$$\\notin$00y[8]$\\notin$$\\notin$$\\notin$$\\notin$00
y[9]$\\in$$\\notin$$\\notin$$\\notin$125y[9]$\\in$$\\notin$$\\notin$$\\notin$125
y[10]$\\notin$$\\notin$$\\notin$$\\notin$00y[10]$\\notin$$\\notin$$\\notin$$\\notin$00
y[11]$\\notin$$\\notin$$\\notin$$\\notin$00y[11]$\\notin$$\\notin$$\\notin$$\\notin$00
y[12]$\\notin$$\\in$$\\notin$$\\in$250y[12]$\\notin$$\\in$$\\notin$$\\in$250
y[13]$\\notin$$\\notin$$\\notin$$\\notin$00y[13]$\\notin$$\\notin$$\\notin$$\\notin$00
" ], "text/plain": [ - "" + "" ] }, "execution_count": 42, @@ -2989,8 +2989,8 @@ "execution_count": 43, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:07:08.204085Z", - "start_time": "2020-02-19T02:06:58.240540Z" + "end_time": "2020-02-23T21:46:16.422075Z", + "start_time": "2020-02-23T21:46:00.302828Z" } }, "outputs": [ @@ -3040,8 +3040,8 @@ "execution_count": 44, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:07:08.214145Z", - "start_time": "2020-02-19T02:07:08.206536Z" + "end_time": "2020-02-23T21:46:16.464170Z", + "start_time": "2020-02-23T21:46:16.439443Z" } }, "outputs": [ @@ -3081,8 +3081,8 @@ "execution_count": 45, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:07:08.235748Z", - "start_time": "2020-02-19T02:07:08.216167Z" + "end_time": "2020-02-23T21:46:16.496317Z", + "start_time": "2020-02-23T21:46:16.472065Z" } }, "outputs": [ diff --git a/docsrc/notebooks/network-analysis.ipynb b/docsrc/notebooks/network-analysis.ipynb index 66f806b3..6ce000a4 100644 --- a/docsrc/notebooks/network-analysis.ipynb +++ b/docsrc/notebooks/network-analysis.ipynb @@ -44,8 +44,8 @@ "execution_count": 1, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:01:44.684554Z", - "start_time": "2020-02-19T02:01:44.419668Z" + "end_time": "2020-02-23T21:45:27.033362Z", + "start_time": "2020-02-23T21:45:26.754368Z" } }, "outputs": [ @@ -53,7 +53,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "2020-02-18T21:01:44-05:00\n", + "2020-02-23T16:45:27-05:00\n", "\n", "CPython 3.7.3\n", "IPython 7.10.2\n", @@ -78,8 +78,8 @@ "execution_count": 2, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:01:46.664110Z", - "start_time": "2020-02-19T02:01:44.690208Z" + "end_time": "2020-02-23T21:45:29.209085Z", + "start_time": "2020-02-23T21:45:27.036868Z" }, "extensions": { "jupyter_dashboards": { @@ -100,11 +100,11 @@ "text": [ "watermark 2.0.2\n", "matplotlib_scalebar 0.6.1\n", - "esda 2.1.1\n", - "spaghetti 1.4.1\n", + "spaghetti 1.4.2\n", + "numpy 1.17.3\n", "matplotlib 3.1.2\n", "libpysal 4.2.0\n", - "numpy 1.17.3\n", + "esda 2.1.1\n", "\n" ] } @@ -129,8 +129,8 @@ "execution_count": 3, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:01:46.677782Z", - "start_time": "2020-02-19T02:01:46.671273Z" + "end_time": "2020-02-23T21:45:29.232904Z", + "start_time": "2020-02-23T21:45:29.220235Z" } }, "outputs": [], @@ -173,8 +173,8 @@ "execution_count": 4, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:01:46.822358Z", - "start_time": "2020-02-19T02:01:46.685665Z" + "end_time": "2020-02-23T21:45:29.389018Z", + "start_time": "2020-02-23T21:45:29.240778Z" }, "extensions": { "jupyter_dashboards": { @@ -224,8 +224,8 @@ "execution_count": 5, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:01:47.216213Z", - "start_time": "2020-02-19T02:01:46.824706Z" + "end_time": "2020-02-23T21:45:29.760197Z", + "start_time": "2020-02-23T21:45:29.391376Z" }, "extensions": { "jupyter_dashboards": { @@ -243,8 +243,8 @@ { "data": { "text/plain": [ - "{'crimes': ,\n", - " 'schools': }" + "{'crimes': ,\n", + " 'schools': }" ] }, "execution_count": 5, @@ -294,8 +294,8 @@ "execution_count": 6, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:01:47.231109Z", - "start_time": "2020-02-19T02:01:47.219338Z" + "end_time": "2020-02-23T21:45:29.774124Z", + "start_time": "2020-02-23T21:45:29.763734Z" } }, "outputs": [ @@ -327,8 +327,8 @@ "execution_count": 7, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:01:47.242474Z", - "start_time": "2020-02-19T02:01:47.234025Z" + "end_time": "2020-02-23T21:45:29.788232Z", + "start_time": "2020-02-23T21:45:29.778102Z" } }, "outputs": [ @@ -359,8 +359,8 @@ "execution_count": 8, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:01:47.257941Z", - "start_time": "2020-02-19T02:01:47.252294Z" + "end_time": "2020-02-23T21:45:29.804453Z", + "start_time": "2020-02-23T21:45:29.797472Z" } }, "outputs": [ @@ -392,8 +392,8 @@ "execution_count": 9, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:01:47.269908Z", - "start_time": "2020-02-19T02:01:47.263160Z" + "end_time": "2020-02-23T21:45:29.824128Z", + "start_time": "2020-02-23T21:45:29.810670Z" } }, "outputs": [ @@ -424,8 +424,8 @@ "execution_count": 10, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:01:47.284109Z", - "start_time": "2020-02-19T02:01:47.273369Z" + "end_time": "2020-02-23T21:45:29.846756Z", + "start_time": "2020-02-23T21:45:29.829118Z" } }, "outputs": [ @@ -456,8 +456,8 @@ "execution_count": 11, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:01:47.295901Z", - "start_time": "2020-02-19T02:01:47.287448Z" + "end_time": "2020-02-23T21:45:29.865611Z", + "start_time": "2020-02-23T21:45:29.854441Z" } }, "outputs": [ @@ -488,8 +488,8 @@ "execution_count": 12, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:01:47.308686Z", - "start_time": "2020-02-19T02:01:47.301959Z" + "end_time": "2020-02-23T21:45:29.897001Z", + "start_time": "2020-02-23T21:45:29.880350Z" } }, "outputs": [ @@ -536,8 +536,8 @@ "execution_count": 13, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:01:47.319125Z", - "start_time": "2020-02-19T02:01:47.312874Z" + "end_time": "2020-02-23T21:45:29.920092Z", + "start_time": "2020-02-23T21:45:29.907463Z" }, "extensions": { "jupyter_dashboards": { @@ -561,8 +561,8 @@ "execution_count": 14, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:01:47.340569Z", - "start_time": "2020-02-19T02:01:47.324938Z" + "end_time": "2020-02-23T21:45:29.946241Z", + "start_time": "2020-02-23T21:45:29.927849Z" }, "extensions": { "jupyter_dashboards": { @@ -625,8 +625,8 @@ "execution_count": 15, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:01:47.726805Z", - "start_time": "2020-02-19T02:01:47.344255Z" + "end_time": "2020-02-23T21:45:30.420475Z", + "start_time": "2020-02-23T21:45:29.952505Z" }, "extensions": { "jupyter_dashboards": { @@ -657,8 +657,8 @@ "execution_count": 16, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:01:47.738859Z", - "start_time": "2020-02-19T02:01:47.729090Z" + "end_time": "2020-02-23T21:45:30.435135Z", + "start_time": "2020-02-23T21:45:30.423681Z" }, "extensions": { "jupyter_dashboards": { @@ -704,8 +704,8 @@ "execution_count": 17, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:01:49.170039Z", - "start_time": "2020-02-19T02:01:47.744477Z" + "end_time": "2020-02-23T21:45:31.870388Z", + "start_time": "2020-02-23T21:45:30.442800Z" } }, "outputs": [], @@ -752,8 +752,8 @@ "execution_count": 18, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:01:49.933090Z", - "start_time": "2020-02-19T02:01:49.172666Z" + "end_time": "2020-02-23T21:45:32.692789Z", + "start_time": "2020-02-23T21:45:31.872776Z" } }, "outputs": [ @@ -815,8 +815,8 @@ "execution_count": 19, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:01:50.021519Z", - "start_time": "2020-02-19T02:01:49.935406Z" + "end_time": "2020-02-23T21:45:32.760272Z", + "start_time": "2020-02-23T21:45:32.695194Z" }, "extensions": { "jupyter_dashboards": { @@ -888,8 +888,8 @@ "execution_count": 20, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:01:50.073017Z", - "start_time": "2020-02-19T02:01:50.025070Z" + "end_time": "2020-02-23T21:45:32.800390Z", + "start_time": "2020-02-23T21:45:32.764291Z" }, "extensions": { "jupyter_dashboards": { @@ -961,8 +961,8 @@ "execution_count": 21, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:01:50.318963Z", - "start_time": "2020-02-19T02:01:50.077616Z" + "end_time": "2020-02-23T21:45:33.006197Z", + "start_time": "2020-02-23T21:45:32.803418Z" }, "extensions": { "jupyter_dashboards": { @@ -1039,8 +1039,8 @@ "execution_count": 22, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:01:50.334496Z", - "start_time": "2020-02-19T02:01:50.322047Z" + "end_time": "2020-02-23T21:45:33.019817Z", + "start_time": "2020-02-23T21:45:33.009672Z" }, "extensions": { "jupyter_dashboards": { @@ -1084,8 +1084,8 @@ "execution_count": 23, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:02:29.468764Z", - "start_time": "2020-02-19T02:01:50.353403Z" + "end_time": "2020-02-23T21:46:22.785220Z", + "start_time": "2020-02-23T21:45:33.034873Z" } }, "outputs": [], @@ -1098,14 +1098,14 @@ "execution_count": 24, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:02:29.794337Z", - "start_time": "2020-02-19T02:02:29.471381Z" + "end_time": "2020-02-23T21:46:23.061918Z", + "start_time": "2020-02-23T21:46:22.787897Z" } }, "outputs": [ { "data": { - "image/png": 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\n", 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" ] @@ -1158,8 +1158,8 @@ "execution_count": 25, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:02:50.777999Z", - "start_time": "2020-02-19T02:02:29.797802Z" + "end_time": "2020-02-23T21:46:42.451078Z", + "start_time": "2020-02-23T21:46:23.065375Z" }, "extensions": { "jupyter_dashboards": { @@ -1183,8 +1183,8 @@ "execution_count": 26, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:02:51.040114Z", - "start_time": "2020-02-19T02:02:50.780455Z" + "end_time": "2020-02-23T21:46:42.888918Z", + "start_time": "2020-02-23T21:46:42.465936Z" }, "extensions": { "jupyter_dashboards": { @@ -1201,7 +1201,7 @@ "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -1254,8 +1254,8 @@ "execution_count": 27, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:03:11.795895Z", - "start_time": "2020-02-19T02:02:51.044826Z" + "end_time": "2020-02-23T21:47:02.219847Z", + "start_time": "2020-02-23T21:46:42.897095Z" }, "extensions": { "jupyter_dashboards": { @@ -1279,8 +1279,8 @@ "execution_count": 28, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T02:03:12.293369Z", - "start_time": "2020-02-19T02:03:11.802376Z" + "end_time": "2020-02-23T21:47:02.499271Z", + "start_time": "2020-02-23T21:47:02.222166Z" }, "extensions": { "jupyter_dashboards": { @@ -1297,7 +1297,7 @@ "outputs": [ { "data": { - "image/png": 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1dpG19idrbcif1BpjbjPGLDLGHDTGnDTGbDLG/J/nE9ZQ6scD3XFGff6Tw66LSBHhWff7puvUU4T2pvgZ13FT4N+h3tMYExlk/1t39ucaAcoE4n7z3Jm0Ud0l1trkIOVL40wx99eOP+Ncx12Djch69oR+k7Tpuftw9m/Nc57n3AuY6TkVBUw3xtyeH/fP0JcRwEuuUwU5QF5O2ghqdYLMjPCsoX42Pzrlj7V2F+n/L3/RGHPxWTR5Nq+/gDwfNrn3Qx9pjKkdqLxnZsELrlNzPfuFi4gUecU2OM4uY8wknCmQ9XGmRo8DDuC8mf3MGBPK2qjbcabYzfRMQxQReZq0ZDd1gGpZVbDWriT9etIHjDGzjTEXBqpjjKlvjHkE2AoECijXu45vzuaI9DekjaLVJS3xT6D1w+7zjQOc92cm6aezzjDGDMo4wuj5AGAm6UeN/+4Z1c0Xnr10bwO8+SwigMnGmLvyqw+uvjwIjHKdakABDJCttbuB+a5TE40xzTOWM8a0wvmdq07aFP1w+Afwh+e4LLDEGDPA88FMOsaYCGPMFcaY6Z49wDNyv/5ae2Y95JYnAO/7jjicf/s2fvrYHCeHgPfv0AnSf3glIlKkaZ/jEHg+6R8AfAD0cb+5MsaMBB4H7iH99hn+eKcAjs/9XopIYWSt3WuMeQkYmc2qDwKVSZuK3R24yRizCfgOOIyTEKoy0ITQthWaSdq+ydcBG4wxiTjrQL2jeSutte/7eR7HjDHLybwOOFCwuwLnQwH3FjGngMRgHbTWpnqmJ38N1Mb5wHEi8Lirr7VwMmW7Z/W8Za19K1jbecHT3/4401oH4Uwff8MYU9Jam9X/Gbndl4c8+yA/5DnVAFhsjOngGQUtKB7FSdAWhROkrTLGfANsAWJwZks08ZR9w3OcKdDLD9baPcaY7jjZ5+OB8sAkYJQxZimwC2dP7xpAC8CbQM9fhvrlOPtj18J57X5njPkcJ/hO9ZRJtdY+4qduVv38zRjTF/gfzuviPJxAfh3O34tUnKRtLUlb4pAKDLbW/pDd+4mIFFYKjkMzHCcJzAA/ow5P4ST26kOQ4NgYcyXOG5GN1tqlgcqJSLH0Ek5QGvJWO9baVKCP5w34SJw33QYn6dJFQar+AfwUoM3Fxpi3SPsgr6Hn4TYNyBQceywgfXB8ECeBmL97pRhjvgbcWbqXhTKya63dYYxpjTOl1bu2uSZwi5/iJ4CnrbXhnH57xhgzBCf4v8dz+hVjTIy19oUgVfOiLw97AuSHPacuxBlFLDABsrV2recDkOk4gVwEcKXn4SuGM3viYWBxfvfRzVq7whjTEphCWh8rkP532y0FP6Pdnt+TO3E+iI/BCbT/kqFYKun3Sc9OPz8xxlyF8xqu6zndjLRkeG6/4wTG83JyLxGRwkrBcRY8mTCb4qxV+1uA3CCnyPwGMqMhnq8aNRaRdKy1ScaYp4FXc1B3nDFmCs703auABKASzojscZwtWH4EVuIko0q01p4J0BzW2sHGmLnAX3FGuqoAsaSNJgWzAGcmjdeiYPfylHcHECEn/fEEclcZYzrhBBBtcUYZS+Os3dyKkzBpkrX2j4AN5RNPfot7jTEngRGe0897AuQn8rkvj3gCZG+QdSFpI8hh/1kBWGtnGWNW4iTPvAZnNNXgBG3fABOttd8CZJ2zK+9Za38B2ns+CO+F8/tYAydIPokzgrwB53d8pmf6uL92PjPGNMVJFNoOJ4gtizP6nBv9XOKZ0t0buAHn70VlnJ/tPpys858A06y1JwM2JCJSRJls5KMqsowx7XHW2Myw1v41w7UawM5Q2rHW+v0f2rPn5x84GR+rW2sPnVWHRUREREREJFcpIVfWvFuKrLXWmmCPIG30x5ka9l8FxiIiIiIiIgWPguMsWGuTgI1AI88IcE4M9nzV3sYiIiIiIiIFkILj0LyMs/foZGNMXMaLxpgKxpgW/ioaY9rirEfeoERcIiIiIiIiBVOxTchljLkJuMnzrXefx9bGmKme432efSGx1k42xiTgZJP92bO1wg6gIs52CO1wslT627vSm4hLo8YiIiIiIiIFVLFNyOXanziQX621dTLU6YoTAF8KxAEHcILkL4Dp1trNGcpXwEnEZVEiLhERERERkQKr2AbHIiIiIiIiIl5acywiIiIiIiLFnoJjERERERERKfYUHIuIiIiIiEixp+BYREREREREir1itZWTMeYXoBywPcxdERERERERkdxXBzhirT0vuxWLVXAMlCtVqlTFhg0bVgx3R0RERERERCR3bdq0iRMnTuSobnELjrc3bNiw4urVq8PdDxEREREREcllCQkJrFmzZntO6mrNsYiIiIiIiBR7Co5FRERERESk2FNwLCIiIiIiIsWegmMREREREREp9hQci4iIiIiISLGn4FhERERERESKPQXHIiIiIiIiUuwpOBYREREREZFiT8GxiIiIiIiIFHsKjkVERERERKTYU3AsIiIiIiIixV5UuDtQ2KSkpHD48GEOHz5McnIy1tpwd0lE/DDGEBkZSZkyZShXrhyxsbEYY8LdLREREREpoBQcZ0NycjLbt28nNTU13F0RkSxYa0lJSeHQoUMcOnSIMmXKUKNGDSIiNGFGRERERDJTcByi1NRUfvvtN1JTUylVqhTx8fGULl1ab7RFCqgzZ86QnJzM0aNHOXjwIElJSfz+++/UrFlTI8giIiIikomC4xAdPXqU5ORkoqOjqVWrloJikQIuIiKCmJgYYmJiKFu2LDt27CApKYnjx49TunTpcHdPRERERAoYRXghOnbsGAAVKlRQYCxSyMTExBAXFwfAkSNHwtwbERERESmIFOWF6Pjx4wCUKVMmzD0RkZwoV64cAElJSWHuiYiIiIgURAqOQ+RNwhUVpZnoIoVRdHQ0gBLqiYiIiIhfCo5D5N2ySVOqRQonbxIubb8mIiIiIv4o0hORYkEZqkVEREQkGAXHIiIiIiIiUuwpOBYREREREZFiT8GxiIiIiIiIFHsKjkVERERERKTYU3AsxVb79u0xxlCnTp1wd0VCcPvtt2OMUWItEREREckT2rRXCp0zZ84wZ84c5syZw9KlS9mzZw9JSUnEx8dTu3Ztrr76am655RYaNWoU7q6KiIiIiEghoeBYCpXExESGDh3Kd999l+narl272LVrF99++y3PPPMMffv25ZVXXiEuLi4MPRURERERkcJEwbEUGu+99x79+/cnOTkZgISEBPr27UuTJk0oV64ce/bsYdGiRUydOpV9+/Yxbdo0Vq1axbx58zj33HPD3HsRERERESnIcmXNsTHmBWPMAmPMb8aYE8aYA8aYtcaYx40x8dlsq6YxZrIx5g9jzCljzHZjzCvGmAq50VcpnBITE+nbty/JyclEREQwduxYVq5cyfDhw+nQoQMJCQl06dKFf//73/z444907doVgI0bN9KtWzdOnToV5mcgIiIiIiIFWW4l5LofKA3MB8YAM4AUYCTwnTEmpGE7Y0w9YDVwB7ACGA1sA4YDy7IbaEvRcOrUKXr37k1KSgoAY8eO5d577w2YmKlixYr873//o127dgCsXbuWkSNH5ld3RURERESkEMqt4LictfYya+0Aa+2j1tr7rLUtgWeB6sDfQ2zndaAyMMxae5OnrY44QfKFwDO51F8pRKZNm8aOHTsAJ8P00KFDs6wTHR3N5MmTKVGiBACvvfYaBw8eDFpnz549/P3vf+eiiy6iTJkyxMXF0aZNG958801SU1OD1v3tt9949NFHueSSS4iLi6NEiRKcc845NGzYkOuvv56XXnqJrVu3Bm1j48aNDBs2jMaNG1OhQgVKlixJzZo16dmzJx9++CHW2oB1M2be3rdvH//6179o2rQpFSpUwBjDK6+8wr///W9fxucvvvgiaH8AvvrqK1/5p59+2m+ZM2fO8P7779OrVy9q165NqVKlKFeuHBdffDHDhg3L8nl7zZs3jxtuuIEqVaoQExPDeeedx4ABA/yuLxcRERERyXXW2jx7AE0BC8wPoWxdT9lfgIgM18oCScAxoPRZ9Gd1ixYtbE788MMP9ocffshRXTk7l156qfX8btg5c+Zkq27Pnj19dV9//fV016688koL2Nq1a9s1a9bYqlWr+spmfLRp08YeOnTI7z3mzJljY2NjA9b1PgYOHOi3fmpqqh0xYoSNiIgIWr9z584B++B+LitXrvT7XEaPHm3/+OMPGxkZaQHbp0+fLH9+AwYMsIA1xtjt27dnur59+3bbokWLoP2OioqyY8eODXiPM2fO2Lvvvjtg/ZIlS9q3337b9u/f33cup/Q6FhERESnaPO9NV9scxIt5vc/xDZ6voQz9dPR8/cJae8Z9wVp7FEgEYoHLcq97UtAlJSWxevVqAGJiYujcuXO26t90002+46+//tpvmePHj9OzZ0/279/P8OHDWbBgAStXrmTq1Kk0btwYcNY89+zZM9Po7d69e+nduzfHjx8nNjaW4cOHM3fuXFauXMmKFSv48MMPeeyxx2jevHnAPg4cOJCXXnqJM2fO0LRpU8aNG8cXX3zB6tWrmT17Nt27dwfg888/p2fPnkFHsZOSkujevTuHDx9mxIgRfPnll6xatYr333+fpk2bUq1aNa666ioAPvjgA5KSkgK2deLECWbNmgVAu3btqF27drrru3btonXr1qxZs4bIyEj++te/MmPGDJYuXcqyZcsYO3Ys9evXJyUlhfvuu49p06b5vc/IkSN54403AKhcuTKjRo1i2bJlLF26lBdeeIEyZcowaNAg1q9fH7CvIiIiIiJnLScRdaAH8CDOOuPRwDc4ozzrgUoh1P23p/yIANdf81y/O4S2Vgd4HNPIceGSmJjoGy1s1apVtutv2rTJV//CCy9Md8072grYyMhI+/nnn2eqf/LkSdu+fXtfubfffjvd9cmTJ/uuffDBB0H7sm/fvkzn3n33XV/9F154wZ45c8Zv3VdeecVX7j//+U+m6+7nUqpUKbtixYqA/ZgxY4av7JQpUwKWe+edd3zlJk+enOl6586dLWArV65sv/vuO79tJCUl2TZt2ljAVqhQwR4+fDjd9c2bN9uoqCgL2Jo1a9rffvstUxu//PJLppHwnNLrWERERKRoK0gjxw8CjwN/A64APgOusdbuDaFuec/XwwGue89r09piZN++fb7jatWqZbt+1apV/baV0eDBg7nmmmsynS9ZsiRTp04lKsrZ9ezVV19Nd33Xrl2+444dOxJMfHzmfHJPPfUUAFdffTUPP/xwwCRjw4cP55JLLgFgwoQJQe/z0EMP0bJly4DXu3fvTrly5QB4++23A5bzXouNjaVXr17prq1YsYLPP/8cgNGjR/tG2DMqXbo0b775JgAHDx70jUR7vfHGG75Ea6+88go1a9bM1EadOnUYNWpUwH6KiIiIiOSGXA2OrbVVrbUGqAr0wFlHvNYY0yIXmvdGDYGzEqX1I8HfA9icC/3IkjHF75FXjh496jsuU6ZMtuu76xw+HOhzF2dqcyC1a9fm6quvBmDVqlUcOHDAd61GjRq+47feeitbfdu8eTM//PADALfddluW5a+88koAli9fHnRqdd++fYO2U6pUKV+wu3jxYl+yM7fdu3czf/58wJmaXrZs2XTXZ8+eDUCJEiXo2bNn0PtdfPHFvg8GEhMT013zBtjx8fF069YtYBs333wz5cuXD3hdRERERPKGtXDyJBw8CH/8Adu2OY+iKCovGrXW7gE+MMasAbYAbwMXZ1HNG7kEegdcLkM5KQbcQVmw9bGBuOsECq6io6Np1qxZ0HZatWrFvHnzAPjuu+9o3749AN26dSM+Pp79+/czYsQIpk+fTrdu3Wjbti2tWrWidOnSAdtcsWKF73jAgAEMGDAgpOeUnJzM/v37qVy5cqZrZcqUoX79+lm20b9/fyZPnoy1lunTp/OPf/wj3fUZM2b4AvB+/foF7Pvp06eJiYkJqd+QfqT91KlT/PjjjwAkJCT4Ruf9iY6Opnnz5ixevDjke4mIiIgUNd5A9eRJOHEi/SOvzp086dzXrUED2LQpPD+DvJQnwbGXtfZXY8wPQDNjzDnW2sDzWuFHz9cLAlw/3/N1S651UAq8c845x6FsRw8AACAASURBVHfsDqxCtXv3br9tuVWsWDFoYAbpp2fv37/fdxwXF8e8efPo3bs3W7duZe3ataxduxaAqKgoLrnkEnr27MmgQYOIi0u/IuDPP//M9vPxOn78uN/zGe8RSNu2bTnvvPP45Zdf+M9//pMpOPZOqa5evbovgZdbTvvu7vfBgwd9Cc78BfoZuf8NRERERMLNG6jmR4Dq/r4gKCj9yG15Ghx7VPd8Db5RLCzyfL3GGBNhXRmrjTFlgTbACeDb3O9i7gqyHa1kU+PGjYmMjCQ1NZX169eTkpKSZSDr5s10DQQcHQ60ztfNBvlHbdmyJZs2beKTTz5h7ty5JCYmsnnzZlJSUvj222/59ttvee6553j//ffTBZretbYAkydPDrpOOCP3dG63yMjIkOobY+jbty9PPvkkmzdvZuXKlb77f//99769hfv06eO3TW/fq1WrFtJ+yV6BRtLP9t9AREREijdrAweYeRW0FtUA0Z/oaChVKu3hJ01MkXDWwbExpgFwyFq7O8P5COApoDKw1Fp70HO+BFAPOG2t/dlb3lr7szHmC+Aa4B5grKu5J4DSwHhr7bGz7bMUHmXLlqVFixasXLmSkydP8tlnn9G1a9eQ63/44Ye+Y++a3Yz279+fZdDtHin1l1grKiqKbt26+dbN7t+/n0WLFjF16lQ++eQTDhw4QI8ePdi2bZtvBLtSpUq++qmpqVx8cVYrD3JXv379ePLJJwFnpNgbHLu3XPI3pRqcvv/444/s3buXevXqUapUqWzfv0KFChhjsNayZ8+eLMufzUi7iIiIFG5nzsCePfDrr85j+/bMx8eKSZRQsqQToMbEpA9Yz/ZcoPMlS0KI4y+FXm6MHF8L/NsY8zXwM7AfqAJciZOQazcw2FW+BrAJ+BWok6GtocBS4FVjTCdPuVZAB5zp1P/Mhf5KITNw4EBWrlwJwMsvvxxycLxt2zY++ugjwFmLe+utt/otl5yczLp163zZoP1Zvny57zhQZma3+Ph4evXqRa9evbjnnnt4/fXXOXr0KJ988gn9+/cHnHW2XvPmzWPQoEEhPa/cUq9ePdq0aUNiYiLvvfceL7/8MhEREbzzzjsANG/ePGDAnpCQwJIlS0hJSeHLL7/khhtu8FsumJIlS3LhhReyefNmVq9eTWpqasCR79OnT7NmzZps30NEREQKh5QUJ9lToMB3xw44dSrcvczMG6jmVoCa1bmYGIjI7f2GxCc3guMvgQk4056b4my1dAwnmP0P8Kq19kDg6mk8o8eXAE/iBN1dgF3Aq8ATobYjRUv//v15+umn2blzJ4sWLWL8+PHceeedQeucPn2aQYMGcfr0aQCGDh1KhQoVApafPHlywOB4x44dvszNCQkJfkeOg+ncuTOvv/46AHv3pu1q1rRpU+rWresL4r///vuQAu/c1K9fPxITE9m3bx+ffvopJUuW9K3t9gbx/vTo0YMxY8YA8Nxzz9GlS5eQp3S7de7cmc2bN7N//34++ugjevTo4bfcrFmzgmYbFxERkYItORl++81/4Pvrr861IJtxhKRkSYiNPfuR0lDPlSypQLWoOevg2Fq7AWcadKjlt5O2LZO/678Bd5xtv6ToiImJ4Z133qFDhw6kpqZyzz33cObMGe666y6/a1UPHjzI7bffzqJFzjL2pk2b8sQTTwS9x8SJE+nRo0em5FPJycnccccdviD7vvvuS3f9s88+o1GjRpx77rkB2/7ss898x3Xr1vUdG2MYOXIk/fr1IzU1lR49evDZZ59Rr169gG2tXr2aPXv20KVLl6DPJ1S33HILw4cP5+TJk7z99tuULFkScKaJB9teql27dnTs2JGFCxeybNky7r77bl5//fWAU9NPnz7N9OnT6dKlC1WqVPGdv+uuu3jttddITU3l/vvv57LLLqN69erp6u7YsYMHH3wwF56tiIiI5JXjx9MCXX+jv7t2nX1enooVoXZt51GnTubjChXydotRKfryIyGXyFlr27Yt06ZN8wWqQ4cOZcqUKfTt25cmTZpQtmxZ9uzZw+LFi5kyZYpvhLZhw4Z89NFHQbcbqlSpEqVLl6ZLly7ce++93HjjjZQtW5aNGzfy8ssvs379egA6dOiQaQ3ue++9x/Tp07nyyivp3LkzTZo0oVKlSpw+fZodO3bw3nvv8cEHHwBOYJwxqO3bty9ff/01b731Flu3bqVJkybccccdXHPNNdSsWZOUlBR2797N6tWr+fjjj1m3bh3//Oc/cy04Ll++PDfeeCP//e9/mTt3rm/099prr80yg/T06dNp1aoVv/32GxMnTuSrr75i8ODBtGzZkvLly5OUlMTWrVtZunQpH3zwAfv27eOnn35KFxw3aNCARx55hGeffZYdO3bQokULHnnkEVq3bg3AkiVLeOGFFzhy5AjNmjVj3bp1ufK8RUREJHsOHw6+3tc1OS7HqlQJHPjWrg2uHT5F8oSCYyk0+vTpQ61atRg6dCgbNmxg5cqVvrXIGUVERNCnTx/GjBkTdDo1QGxsLLNnz+a6665j9OjRjB49OlOZyy67jNmzZ/sdqU5NTWXhwoUsXLgw4D3q16/Pxx9/7DdInzBhArVq1eKpp57i+PHjjBs3jnHjxgVsK9B+zTnVv39//vvf/5KcnOw7FygRl1u1atX49ttv6dOnD4sXL2bLli089NBDAcuXLFnSNzLt9tRTT7F3714mTpzInj17eOCBB9Jdj46OZuLEiSxcuFDBsYiISB6wFvbvDxz4/vorHDp0dveIiIDq1QMHvrVqOVOVRcJJwbEUKm3btmX9+vV89NFHzJkzh2XLlrFnzx6SkpKIj4+ndu3aXHXVVdx6663Zyv7cvHlz1q1bx0svvcTcuXPZsWMHUVFRXHTRRfTt25c777zT75raMWPG0L17dxYuXMiKFSvYtWsXf/75J6mpqVSqVIkmTZpw00030b9/f7+BITjTqx977DHuuOMOJkyYwMKFC9myZQsHDx6kRIkSVK5cmQYNGtC2bVu6deuW61mtO3fuTNWqVX17QsfFxXHjjTeGVLd69eosWrSIL7/8knfffZelS5fyxx9/cOzYMcqUKUOtWrVo0qQJV111FTfddJPffZgjIiKYMGECN910E6+//jrLly/n6NGjVKlShfbt23P//ffTrFmzoB8+iIiISGDeTM+BAt/cyPQcFeUEuIGmPdesCSVKnP1zEclLpjjtHWqMWd2iRYsW7r1vQ7Vp0ybAmaYrIoWTXsciIlIUeTM9+wt+t293Mj27JojlSExM8PW+1aoVn+1+pGBLSEhgzZo1a6y1CVmXTk8jxyIiIiIiBdipU04250BrfnfuPPtMz2XLBl/vW7mykl1J0afgWEREREQkjNyZnv2N/uZWpudAgW+dOhAXp+BXRMGxiIiIiEge8mZ6DrTmNzcyPVetGjjwrVVLmZ5FQqHgWEREREQkl+3fDxMnwvjxTiB8NiIioEaNwNOea9Vy1gSLyNlRcCwiIiIikku+/x5efRWmT4eTJ0OrU6IEnHtu4GnPyvQskj8UHIuIiIiInIXUVJgzxwmKFy3KfD0mJvh636pVlelZpCBQcCwiIiIikgOHDsHkyfDaa/DLL5mvJyTA8OHwl79AyZL53z8RyR4FxyIiIiIi2bB5M4wdC9OmwbFj6a9FRkLPnk5Q3Lq1MkCLFCYKjkVEREREsnDmDHz+OYwZ43zNKD4ehgyBu+921g+LSOGj4FhEREREJICjR50R4rFjYcuWzNcbN3ZGiXv3hlKl8r9/IpJ7FByLiIiIiGTw88/OWuLJk+HIkfTXjIFu3WDYMGjfXlOnRYoKBcciIiIiIoC1sHChM3V67lzne7fy5WHQILjnHjjvvPD0UUTyjoJjERERESnWjh939iV+9VXYuDHz9QsvdEaJ+/WDMmXyv38ikj8UHIuIiIhIsfTrr/D66zBxIhw8mPl6ly5OUHz11RARkf/9E5H8peBYRERERIoNa2HJEmfq9AcfOFmo3cqUgTvugHvvhQsuCE8fRSQ8FByLiIiISJF38iS8954zdXrt2szX69aF++5zAuPy5fO/fyISfgqORURERKTI+uMPeOMNGD8e9u7NfL1TJ2crpi5dIDIy//snIgWHgmMRERERKXKWL3emTs+cCSkp6a+VKgV9+zrriRs1Ck//RKTgUXAsIiIiIkVCcjLMmuUExStWZL5eq5azDdOgQVCxYv73T0QKNgXHIiIiIlKo/fmnM236jTdg167M19u2daZOd+sGUXr3KyIB6M+DiIiIiBRKa9Y4CbbefdcZNXaLjobevZ2p082bh6d/IlK4aMc2KfBGjhyJMQZjDFOnTg2pzuLFi311br/99jztn4iIiOSflBRn6nTbtpCQANOmpQ+Mq1WDp56C336DKVMUGItI6DRyLCIiIiIF3v798NZbMG6cE/hm1KqVM3W6Z09n1FhEJLsUHIuIiIhIgbVhgzN1evp0OHEi/bWoKPjLX5yp061ahad/IlJ0KDgWERERkQIlNRU++cTJOr1wYebrlSrBXXc5j+rV879/IlI0KTgWERERkQLh8GGYPBleew22bct8vXlzZ+r0LbdATEz+909EijYl5JJix52sy5vg6+OPP+b666+nevXqxMTEULt2bQYNGsSPP/4YtK2MSb/WrVvHHXfcQZ06dYiJiaFKlSrceOONfPHFFyH3b968efTt25d69epRunRpSpcuzQUXXMCgQYNYu3ZttvqzYcMG7rrrLs4//3xKly6NMYZ169aF3BcREZH88OOPcO+9UKMGPPBA+sA4MhJ69YJvvoHVq6F/fwXGIpI3NHIsxd7dd9/Nm2++me7cjh07mDRpEtOnT2fSpEn06dMny3befvttBg8eTLIrZeaff/7JnDlzmDNnDvfddx9jxozBGOO3/oEDB7j11luZP39+pms//fQTP/30E5MmTeLRRx/l2WefDdiO1+TJk7n77rvT9UdERKSgOHMGvvjCmTr92WeZr1eoAEOGwNChUKtW/vdPRIofBcdSrL3xxhusWLGCJk2a8MADD9CoUSOOHDnCxx9/zLhx4zh16hT9+/enRo0atG/fPmA769ev591336VcuXI88sgjtGnTBoAlS5bw4osvsm/fPsaOHUulSpV47LHHMtU/duwY7dq1Y+PGjQB07dqVm2++mfPOO4+YmBi+//57XnvtNdauXcvzzz9PTEwMjz/+eMD+rFq1ihkzZlC5cmVGjBjBZZddRmRkJGvWrKFixYpn90MTERE5C0lJzvZLY8c6I8YZNWrkTJ3u0wdiY/O/fyJSfCk4lmJtxYoVdOrUiU8//ZRo174PHTt2pHPnznTt2pXU1FSGDBnC5s2biYjwvxJh3bp1VK9enWXLllHL9fF269atufnmm2ndujW7d+/mqaeeonfv3tSrVy9d/REjRrBx40ZiY2OZO3cuHTp0SHe9ZcuW9OvXj969ezNz5kyefvpp+vXrx3nnnee3Pxs3bqRBgwZ88803nHPOOb7zrZTKU0REwmTbNmct8aRJcORI+mvGwA03OEFxhw7O9yIi+U1rjvPKyJHOX/ZQHkOGZK4/ZEjo9UeOzFz/hhtCrz9hQub6CQk5v3chUqJECaZMmZIuMPa67rrrGDBgAOBMa543b17Qtl5++eV0gbFXnTp1GDVqFACnT5/ONIX7999/Z/LkyQD885//zBQYe0VFRfHGG28QHR1NSkoKU6ZMCdqf119/PV1gLCIikt+sdbJNd+sG9evD6NHpA+Ny5eD++2HrVvjoI+jYUYGxiISPgmMp1q655hrOPffcgNcHDx7sO/78888DlouLi6NHjx4Br998882UL1/ebztz5szh9OnTANx2221B+xsfH0/jxo0BSExMDFiuZs2aAYNsERGRvHb8OEycCE2aQKdO8PHHTqDsdcEFzijyzp3w8stQt274+ioi4qVp1VKsZTXNuHnz5pQoUYLTp0/z3XffBSzXokULSpQoEfB6dHQ0zZs3Z/HixWzcuJHU1FQiIyMBZ2q3V91svDvYtWtXwGtNmzYNuR0REZHc8ttvMG6cExgfOJD5+rXXOlOnr7kGAqxUEhEJGwXHeWXkyLObcjxhgv/pzqGaMyfndcHZK6GAcGdltu6PnYNwlwuW1bly5cpB2ylRogTx8fHs3r2b/fv357gdgKpVqwJw5swZDh06RHx8POBktM6J48ePB7xWoUKFHLUpIiKSXdZCYqKTdfqDDyA1Nf310qXh9tvhvvvgwgvD0kURkZAoOJYCL9aVqjJYQOh27Ngx33Hp0qUDlstqOyQILSA/m3ZSUlIAiIiIYM2aNb4R5az4WyftFWobIiIiOXXqFLz3Hrz6KqxZk/n6eec5AfEdd0BcXP73T0QkuxQcS4HnHWGF4FOJ3dzl3PUz2rNnT9B2UlJSOHjw4Fm3A2kjxBEREcS53iVUqlQJcEaUS5cuTf369bNsS0REJFx27YI33oDx48Hf5KeOHZ2p09dfD/qsVkQKE632kALPvX521apVIdVZuXKl77hZs2YByy1fvjxoO2vXriU5ORmAJk2aBCy3Zs0a3wiwP6dPn2aN52P1Ro0apRvZTUhI8B1nlRFbREQkXFascPYerlULnnoqfWAcEwODB8N338GCBXDjjQqMRaTwUXAsBV6zZs18a3oXLlzI77//HrT80aNHmT17NgAlS5akXbt2AcvOnz+fnTt3Brz+1ltv+Y6vueaagOUOHTrku6c/s2bN4vDhw37bufHGG33B8ujRo0OeOi4iIpLXTp+Gd9+Fyy6DVq3gnXfA/VnwuefC8887WacnTADPhgoiIoWSgmMp8CIjI7n33nsBZwS2f//+AQPIlJQU7rzzTl/yrH79+gWdDp2cnMyAAQN8Wym5ff7550yaNAmAevXqcd111wXt54gRI/wG2jt27ODBBx8EnARfd911V7rrdevWpX///gD88ssv3HLLLSQlJQW8j7WW2bNn88MPPwTtj4iISE7t3QtPPw116kDv3pBxotUVV8DMmbBtGzzyCAT5r1ZEpNDQmmMpFB5++GHmzJnDypUrWbBgAY0aNeKuu+6iVatWxMXFcfToUdauXcvEiRPZsGED4ASdL774YtB2L730UubPn8+ll17KAw88wEUXXcTRo0f56KOPGDduHKmpqURERDBhwoSgSa6aNm3Kpk2bSEhI4OGHH+aKK67AWktiYiIvvPACe/fuBeAf//iH3zXFY8aMYc2aNaxbt465c+fSoEEDhgwZQps2bYiPj+f48eNs376d5cuXM3v2bHbu3Mn8+fO56KKLzuKnKiIikt66dU7W6XffdRJuuUVHw223wbBh0KJFePonIpKXFBxLoVCyZEk+//xz+vfvz5w5c9i+fTuPPvpowPJt2rTh/fffT5f4yp+7776bZs2aMWHCBPr165fpenR0NG+99RYdO3YM2k6zZs24//77GTx4sG+U2N+9Hn/8cb/XypQpw1dffcXAgQOZNWsWv//+e8Cy4IymB8vCLSIiEqqUFPjoIyco/uabzNerVoWhQ2HIEKhSJf/7JyKSXxQcS6FRoUIFPv74YxITE5k+fTqJiYns3LmTo0ePUrp0aapWrUrr1q255ZZbuPbaa0Nud/z48XTu3JkJEyawbt06Dh48SJUqVejUqRMPP/wwDRs2DKmd/v3707hxY1555RW++uordu/eTbly5bjsssu45557suxTuXLlmDlzJitXrmTatGl8/fXX7Ny5kyNHjhAbG0uNGjW4+OKL6dixI927d/ftmywiIpITBw7AW2/BuHGwY0fm6y1bOlmnb77ZGTUWESnqFBxLodOmTRvatGmTq2326NGDHj16nHU7LVq04O233z6rNlq2bEnLli1zVDeUPZlFREQmToS//Q0ypvCIinKC4WHDnCRcIiLFiYJjERERkWIiOdkZDX7zzfTnzzkH7rrLedSoEZ6+iYiEm4JjERERkWJg927o1QsSE9PONWgADz/sJNqKiQlf30RECgIFxyIiIiJF3MqV0L07/P572rlbb4VJkyA2Nnz9EhEpSLTPsYiIiEgRNm0atG2bFhhHRMCLL8I77ygwFhFx08ixiIiISBF0+jQ8+CC8+mraubg4eO896Nw5fP0SESmoFBxLsdO+fftcy+qs7NAiIlIQ7d0Lf/kLLF6cdq5RI/jwQ6hfP2zdEhEp0DStWkRERKQIWbsWLrkkfWDcowd8+60CYxGRYBQci4iIiBQR77wDbdrAjh3O98bA00/DrFlQpkx4+yYiUtBpWrWIiIhIIZeSAn//O4walXauXDmYMQO6dg1fv0REChMFxyIiIiKF2IEDzrZM8+ennbvwQvjoI+eriIiERtOqRURERAqp77+Hli3TB8Y33ADLlyswFhHJLgXHIiIiIoXQrFnQujVs25Z27l//cjJSly8fvn6JiBRWmlYtIiIiUoikpjpB8LPPpp0rUwbefhu6dw9fv0RECjsFxyIiIiKFxKFD8Ne/wiefpJ2rX98ZLW7UKHz9EhEpChQci4iIiBQCmzbBTTfBli1p56691tm+qUKF8PVLRKSo0JpjERERkQLu44+hVav0gfGjj8LcuQqMRURyi4JjERERkQLqzBl44gno1g2OHnXOxcbC++/Dc89BZGR4+yciUpRoWrWIiIhIAXTkCPTr5+xX7FWnjrO+uGnTsHVLRKTIUnAsIiIiUsBs2eKsL960Ke1cp07OiHF8fPj6JSJSlGlatYiIiEgB8umncOml6QPjBx6Azz5TYCwikpcUHEuhsH37dowxGGNo3759uLsjIiKS66yF55+Hrl3h8GHnXEwM/Oc/8NJLEKX5fiIieUp/ZkVERETC7NgxuOMOmDkz7dy558IHH0BCQvj6JSJSnCg4FhEREQmjbduc9cXff592rl07J1CuXDl8/RIRKW40rVpEREQkTL78Elq2TB8Y33uvc16BsYhI/lJwLCIiIpLPrIWXX4bOneHAAedcdDRMmgRjx0KJEuHtn4hIcaTgWIqVZcuWMWDAAOrXr0/p0qUpU6YM559/PoMGDWLlypV+61hrqVy5MsYYevXq5bfML7/84ksYZoxhw4YNfsv169cPYwxxcXGcOXPGb5mkpCRefvllOnXqRLVq1ShZsiTx8fFcfvnlPPPMMxw6dCjg85s6daqvD4sXLwbgnXfe4dprr6V69epERUXRrFmzID8hERHJaydOQN++MGIEeP8rqF4dvv4aBgwIb99ERIozrTmWYiE1NZV77rmH8ePHZ7q2detWtm7dyuTJkxk2bBgvv/wyERFpnxt5M2TPnDmTRYsWcebMmXTXARYsWJDp+4svvjjTvRYtWgTAlVdemakNb73evXvz559/pjt/4MABli1bxrJlyxgzZgyzZs2iXbt2QZ/zqVOn6Nq1K5988knQciIikn927IDu3WHNmrRzrVvD//4H1aqFr18iIqKRYykmhg4d6guMq1WrxujRo1m6dClLly5l1KhRVK5cGWstY8aM4f77789Uv2PHjoATpK5fvz7T9YULFwb9HmDLli3s3LkzXXtu8+fP59prr+XPP/+kfPnyPProo8yePZtVq1axaNEi/u///o/y5cuzd+9err/+ejZu3Bj0OT/yyCN88sknXHPNNbz//vusWrWKBQsWMGTIkKD1REQkbyxe7GSedgfGgwfDokUKjEVECgKNHEuRt3jxYiZMmADAhRdeyDfffEOlSpV811u3bk3v3r1p06YNv/zyC6+++iq33HILl19+ua+MO5hduHAhzZs3z3QPgJtuuokPP/yQr776itTUVCIjI9PV89cewJEjR+jTpw8pKSlcfvnlzJ07lwoVKqQr0759e/r160ebNm3Yu3cvw4cP58svvwz4vNevX8+IESMYNWpUuvP+AnMREck71sK4cfC3v0FqqnMuKgpeew3uvDO8fRMRkTQaOc4jI0eOTLcGNdjD30jekCFDQq4/cuTITPVvuOGGkOt7A0e3hISEHN+7oHnllVd8x5MmTUoXGHtVq1Yt3ZRrdx2ACy64gJo1awKZp1D/8MMP7Nq1C4Ann3ySiIgIDh8+zOrVq9OV8wbHlSpVyjTlevz48ezdu5eoqCjefffdTIGx1/nnn8+//vUvXz+2bdsW8HnXq1eP559/PuB1ERHJeydPwsCBcN99aYFxlSrOaLECYxGRgkXBsRRpqampvmC2UaNGtGnTJmDZq6++mvr16wPOFGdrbbrrHTp0AOCbb74hJSXFd94b9J5//vk0btzYN6rsHim21vpGl9u3b48xJl3b//vf/wC4/PLLqVWrVtDn1L59e99xYmJiwHK33norUVGaHCIiEi6//w5XXglTpqSdu+QSWLUKrrgifP0SERH/FBxLkbZt2zaSkpIAZ/p0VrxTqQ8dOsSvv/6a7pp3OnJSUhIrVqzwnfcGwZ06dUr31R0cf//99+zduzddO16pqam+Ueavv/46y9H6xo0b++p6R6z9UVZqEZHwSUx01he7/rugf3/45hvwTEQSEZECRsNKeWTkyJFnNeV4woQJfqc7h2rOnDk5rgtkmhJcWO3fv993XLVq1SzLV3NlRNm/fz916tTxfe8NesGZ0nz55Zdz5swZvvrqKyAt6O3YsSMvvvgiS5YsITk5mejo6KDrjQ8ePJhuJDo7jh8/HvBaoKnZIiKStyZMgHvvhdOnne8jI2H0aOdcholDIiJSgCg4lmIj41Tm7JY/99xzqVevHj///DMLFy7kscceY926dRw4cABjjG/addu2bYmOjubEiRMsW7aMK6+80hcc16hRgwsuuCBdu+7A+MYbb+SZZ54JuY+VK1cOeM2dDExERPJecjIMGwbuXQPPOQdmzgTXihgRESmgFBxLkRYfH+87DjYF2Wv37t2+44oVK2a63rFjR37++WeWLVvGiRMnfEFvkyZNOOeccwCIjY3l0ksvZcmSJSxcuJArrriCr7/+SELbNgAAIABJREFUGkhbt5yxj8YYrLXs37/f7/7IIiJSsO3eDb16OdOpvZo3hw8+gNq1w9cvEREJndYcS5FWt25dypQpA8C3336bZflly5YBEBcXR20/72a8U6JPnTpFYmJipvXGGcstWLCA1atXc/jw4XTn3UqUKEGTJk0AWL58OQcOHAjpuYmISMGwYoWTaMsdGN92GyxZosBYRKQwUXAsRVpkZKQvcN2wYYMv+PVnwYIFbNmyBXAyV/ubhu0Obr/44guWLFmS6TykBcsrVqxIt/470B7DPXr0AJwp1i+88EKWz0tERAqGKVOgXTsnMzVARASMGgUzZkBsbHj7JiIi2aPgWIq8v/3tb77jgQMHpkvS5bVnzx7udG046a7jVrlyZRo1agQ4SdOOHj1KVFQU7dq1S1fusssuIzY2ltOnTzN27FjAGcX2NxoNMGzYMN8U8FGjRjF58uSgz+nAgQO89tprQcuIiEjeOX3aWV88YACcOuWcq1AB5s2DESOUeEtEpDDSmmMpdHbv3s3UqVOzLBcdHU3v3r1p3749Q4YMYcKECWzatIlmzZrx0EMP0apVK6y1LFu2jBdffNG33njYsGG+LZ386dixIxs3bvRNlW7ZsiVly5bNdO82bdowf/58Xzl/64294uLimDlzJp07d+b06dMMHDiQGTNm0KdPHxo2bEhMTAwHDx7khx9+YOHChcybN4/4+HjuvffeLH8OIiKSu/buhZtvBs9mBQBcfDF8+CHUqxe+fomIyNlRcCyFzo8//sgdd9yRZbny5cvTu3dvAMaNG4cxhvHjx7Nz506GDx/ut86wYcMYPXp00HY7duzoGw2GzOuN3eXmz5+f7vtgOnTowFdffcVtt93Gr7/+ysKFC9NtAZVR+fLlg7YnIiK5b80a6N4dduxIO9ezJ0ydCp4UFyIiUkhpWrUUC1FRUbz55pssXbqU22+/nbp161KqVCliY2OpX78+AwYMYMWKFYwZM4aIiOAvi/bt26fbJilQ0JsxaA42cuzVunVrfvrpJ6ZOnUqPHj2oXbs2sbGxlChRgnPOOYdLL72Ue+65h48//ph169aF8MxFRCS3zJgBbdqkBcbGwDPPOFs1KTAWESn8jLU23H3IN8aY1S1atGixevXqbNfdtGkTAA0bNsztbolIPtHrWERyIiUFHn0UXnop7Vz58vDOO9ClS/j6JSIimSUkJLBmzZo11tqE7NbVtGoREfl/9u483ssx8f/46+60aUORRhNG9iVkH2YwknX8mGEMxlayU1pQUolIWgmJLKMxM2YGw1iqwWQwzIiZ4WunrJElLbSdc+7fH1dn7k6bU33OuT7L6/l49DjXdZ/P5/QWqve5r/u6JK3Cl1/CL38Jf/1rdm377cPzxdtsEy+XJCn3XFYtSZK0Ev/9L+y5Z/VifPTR8PzzFmNJKkaWY0mSpOX88Y+w774wfXp2beBAeOABaNEiXi5JUu1xWbUkSdJSFRUwYABcc012rVkzuOceOOaYeLkkSbXPcixJkgR8/TWcdBI89lh2baut4M9/hh12iJdLklQ3XFYtSZJK3muvwV57VS/Ghx8O//qXxViSSoXlWJIklbQHH4S994a3386u9e0LDz8MG2wQL5ckqW5ZjiVJUkmqrIRBg+DYY2H+/HCtSRO4777wzHFZWdR4kqQ65jPHkiSp5MydC6ecAg89lF37wQ/CXeQOHeLlkiTFYzmWVBLSNI0dQVKeeOutsPP0669n1zp1gt/9Dlq1ipdLkhSXy6prKEkSACorKyMnkbQ2qspx1f/LkkrTo4+GjbeWLca9eoWNuCzGklTaLMc1VLb0waPy8vLISSStjcWLFwPZ/8uSSkuawrXXwlFHwZw54VrjxjBxIgwfDvVdSydJJc9yXENNmjQBYH7Vjh2SCsrcuXMBaNasWeQkkura/Pnwi19Av36hJAO0awfPPgsnnxw3myQpf1iOa6hp06YAzJ49m4qKishpJK2JhQsX8vXXXwPQokWLyGkk1aX33oMf/hD++Mfs2gEHwIsvQseO8XJJkvKP5biGmjdvTsOGDVm8eDEffvgh8+bNo7Ky0k1+pDyUpimVlZUsXLiQWbNm8cEHH1BRUUGzZs3+twpEUvGbMgX22ANeeSW7duGF4Xrr1vFySZLyk0/Y1FBZWRnt2rVjxowZLFiwgI8++ih2JElroFmzZrRt29YNuaQSkKYwYgRcemk4yxigYUMYNw7OOCNuNklS/rIcr4GGDRuy5ZZbMmfOHObMmcPixYu9cyzlqSRJKCsro1mzZrRo0YImTZpYjKUS8O230K0b3Htvdq1tW7j//rBLtSRJq2I5XkP169enVatWtPK8B0mS8sr778Oxx8LLL2fXfvhD+NOfoE2beLkkSYXBZ44lSVLB+9vfwvPFyxbjs8+Gp56yGEuSasZyLEmSClaawo03QqdO8MUX4VqDBuH54nHjwrPGkiTVhMuqJUlSQVq4EM49F+66K7u2ySZhGfV++0WLJUkqUJZjSZJUcD76CH72M/jXv7Jre+0VNt5q2zZeLklS4XJZtSRJKijPPhueL162GJ9+OkydajGWJK09y7EkSSoYt94KBx0En30W5mVl4ZnjO+6Axo3jZpMkFTaXVUuSpLy3aBFcdBGMH59d22gj+MMf4MADo8WSJBURy7EkScprM2fCccfBc89l13bbDR58EDbbLF4uSVJxcVm1JEnKWy+8EJ4vXrYYn3wyPPOMxViSlFuWY0mSlJfuvBN+/GP45JMwr1cPRoyAe+6BJk3iZpMkFZ91LsdJkrRKkuTMJEkeSJLknSRJFiRJMidJkmeSJOmaJEmNf44kSWYkSZKu4sen65pVkiTlvyVL4MILoUsXWLw4XGvZEiZNgp49IUni5pMkFadcPHN8PHALMBN4CvgA2AT4GXA7cHiSJMenaZrW8OvNAUav5Pr8HGSVJEl57PPPw/PFTz+dXdt55/B88ZZbxsslSSp+uSjHbwFHA4+kaVpZdTFJkn7AP4GfE4ryn2r49b5O03RQDnJJkqQCUl4OP/1peM64yvHHh+XVTZvGyyVJKg3rvKw6TdMn0zR9eNlivPT6p8C4pdMD1/XnkSRJxW3kyKwYJwlcey38/vcWY0lS3ajto5yWLP1YvgbvaZQkya+AzYBvgP8CT6dpWpHrcJIkKT+88QYMGJDNr74aLrssXh5JUumptXKcJEl94NSl08fX4K1tgHuWuzY9SZIz0jSdWsOfe9oqPrXdGuSQJEl1oKIibL61aFGY7747XHJJ3EySpNJTm0c5DQV2Ah5N03RSDd9zJ3AwoSA3BXYGbgW2AB5LkmSXWsgpSZIiuuEG+Mc/wrhBg/CMcf3aXtsmSdJyauWPniRJLgJ6AW8Ap9T0fWmaXrncpVeBc5Ikmb/06w0Cjq3B19l9FbmmAR1rmkeSJNWut9+Gfv2yef/+YXdqSZLqWs7vHCdJcj4wBngNOChN069y8GWrNvb6cQ6+liRJygOVldC1KyxcGOa77AJ9+8bNJEkqXTktx0mS9ADGEu74HrR0x+pcmLX0o/tVSpJUJG66Cf7+9zCuXz8sp27QIG4mSVLpylk5TpLkUmAU8G9CMZ71HW9ZE/su/fheDr+mJEmK5L33qu9G3bcv7LZbvDySJOWkHCdJcgVhA65pwMFpmn6xmtc2SJJkuyRJ2i93fcckSVqu5PWbE+5GA0zMRV5JkhRP1XLqb78N8512Cs8aS5IU0zpvyJUkyWnAYKAC+DtwUZIky79sRpqmdy0dtwVeB94n7EJd5XjgsiRJngKmA/OA9sCRQGPgUWD4uuaVJElx3Xor/O1vYVxWFpZTN2wYNZIkSTnZrfoHSz+WAT1W8ZqpwF3f8XWeArYFdiMso24KfA08Qzj3+J40TdN1DStJkuJ5//3qZxj36QN77BEvjyRJVda5HKdpOohwxFJNXz8DWOHWcpqmUwklWpIkFaE0hW7dYP78MN9+exg4MG4mSZKq5PwoJ0mSpJWZMAGmTAnjevXgjjugceO4mSRJqmI5liRJte7DD6FXr2zesyfss0+8PJIkLc9yLEmSalWawllnwdy5Yb7NNjB4cNxMkiQtz3IsSZJq1d13w+OPh3GShOXU660XN5MkScuzHEuSpFrzySdw8cXZ/KKLYL/94uWRJGlVLMeSJKlWpCmccw58/XWYt28PQ4bEzSRJ0qpYjiVJUq249154+OFsPmECNG0aL48kSatjOZYkSTn36adw4YXZ/Pzz4YAD4uWRJOm7WI4lSVJOpSmcdx7Mnh3mW2wBQ4dGjSRJ0neyHEuSpJy67z544IFsfvvt0KxZvDySJNWE5ViSJOXM55/DBRdk87PPhoMPjpdHkqSashxLkqScueAC+OKLMG7XDoYNi5tHkqSashxLkqSc+NOfwpLqKrfdBi1axMsjSdKasBxLkqR19sUXYROuKl26wKGHxssjSdKashxLkqR11r07zJoVxptuCiNGxM0jSdKashxLkqR18tBDcO+92Xz8eNhgg3h5JElaG5ZjSZK01r76KuxIXeXUU+HII+PlkSRpbVmOJUnSWrv4Yvj00zBu0wZGjYqbR5KktWU5liRJa+WRR+DXv87m48ZBy5bx8kiStC4sx5IkaY3NmVN9OfWJJ8L/+3/x8kiStK4sx5IkaY316gUffxzGrVvDDTfEzSNJ0rqyHEuSpDUyeTJMmJDNb74ZNtooXh5JknLBcixJkmps7lw488xsfvzx8POfx8sjSVKuWI4lSVKNXXIJfPhhGG+0EYwdGzePJEm5YjmWJEk18uSTcOut2fzGG8PzxpIkFQPLsSRJ+k7z50PXrtn82GPhhBPi5ZEkKdcsx5Ik6Tv17QszZoRxy5ZhE64kiRpJkqScshxLkqTVmjq1+rPFY8ZAmzbx8kiSVBssx5IkaZW+/bb6cuqjjoKTT46XR5Kk2mI5liRJq3T55fDuu2G8/vowbpzLqSVJxclyLEmSVurZZ8MS6iqjR0PbtvHySJJUmyzHkiRpBQsWQJcukKZhfvjhcNppcTNJklSbLMeSJGkFAwbAW2+FcfPm4Xxjl1NLkoqZ5ViSJFXzwgswcmQ2HzEC2rWLl0eSpLpgOZYkSf+zcCGccQZUVoZ5p05w5plxM0mSVBcsx5Ik6X8GD4bXXw/jZs3g9ttdTi1JKg2WY0mSBMCLL8KwYdl82DDYfPN4eSRJqkuWY0mSxKJFYTl1RUWYH3ggnH121EiSJNUpy7EkSWLIEHj11TBu0gQmTIB6/i1BklRC/GNPkqQS9+9/w7XXZvOhQ2HLLePlkSQpBsuxJEklbMmSsJy6vDzMf/QjOP/8uJkkSYrBcixJUgkbOjTcOQZo3Njl1JKk0uUff5IklahXXoGrrsrmQ4bA1lvHyyNJUkyWY0mSSlB5eVhOvWRJmO+7L3TvHjeTJEkxWY4lSSpB118P06aFcaNGcMcdUFYWN5MkSTFZjiVJKjGvvQaDBmXzwYNhu+2ixZEkKS9YjiVJKiFVy6kXLw7zPfeEnj3jZpIkKR9YjiVJKiGjRsE//xnGDRvCnXdC/fpxM0mSlA8sx5IklYg334QrrsjmAwbAjjvGyyNJUj6xHEuSVAIqKqBLF1i0KMw7doRLLombSZKkfGI5liSpBNx4Izz3XBg3aBCWUzdoEDeTJEn5xHIsSVKRe+cd6Ncvm19+OXToEC+PJEn5yHIsSVIRq6yErl1hwYIw79AB+vaNm0mSpHxkOZYkqYjdfDM8/XQYl5WF5dQNG8bNJElSPrIcS5JUpKZPh8suy+Z9+4aNuCRJ0oosx5IkFaGq5dTffBPmO+4I/fvHzSRJUj6zHEuSVITGj4enngrjevXCcupGjeJmkiQpn1mOJUkqMu+/D336ZPM+fWDPPePlkSSpENSPHUCSJOVOmkK3bjB/fphvtx0MGhQ1kiQVhjQNz6RA2MFwWYsWhR+Vldnrlv9YNW7SBFq2rP7+zz6DOXOqv275cdXHTTeFtm2rv//VV+GLL1b/vqpxhw6wxRbV3z9pEnz11aqzL/s1DjsMNt+8+vvHjw9/sKQpHH447LDDOv9y5yPLsSRJReSOO2DKlDCuWk7duHHcTJK0zj74AKZODQWv6seXX1afz58fyt0uu2S/EVaZMAEuumjVxTBNs9cedRQ8/HD19w8ZAlddVbOsZ50Ft95a/Vr//nD77TV7/6BBMHBg9WuXXQaPPFKz9996a8iwrL594eWXa/b+hx9esRwPGBAKPkDr1pZjSZKU3z76CHr2zOYXXwz77BMvjyT9zzffwCuvVC+0qxqvvz689FL19//zn3DqqTX7ub76asVrFRXw7bc1e/+yRblKvTV4GnVl70+Smr+/6u712r6/Nn7+Zf/5V/b5ImE5liSpCKRpuFEwd26Yb711zW9ySNJ3qqxc8U7tquazZ8Pzz1cvVG++CfvuW7Ofa4MNVry2/DLl78q6vJqWwyRZ+WsbN4bmzcPn6tVb9cd69UK5X94mm4TfmJd/7crev+mmK75/p53Cb/Crev+y4802W/H9nTuv+POv6uPK3t+tW/bzF+ldY4AkXdl3FopUkiTTOnbs2HHatGmxo0iSlFN33w2nnx7GSQJPPw377x81kqR8VF4eyut33b0dNQratMneN3v2mhXU2bOrl9wZM+AHP1iznMs+9/vuu2Fpb8uWK/5o1Sp8bN48lLcGDVbMumQJLF68+mK4JndXlbd23313XnrppZfSNN19Td/rnWNJkgrcJ59Ajx7Z/MILLcZS0asquau6e/urX8G221Z/zxZbhO3sa6JPn+rleP31Q4ms6ZLar76qXo5btQrb5i9faFc1X34Zc/v28Jvf1OznXpkGDcIPaTUsx5IkFbA0hXPPha+/DvMtt4RrrombSdIaWLIku5O7bNHdffewlHZZv/oVPPts+HzVMxSrsuuuK5bj5XdgXp3ln9utVy/8BgOrL7VV8+WXBjdvHp4blvKY5ViSpAL229/CQw9l8wkToGnTeHkkrcaoUfDYY9VL8KpK7rBhK5bjTz8Ny5Nr4ssvV7zWsiVMnx7u6H7Xndsdd1zx/W+/XbOfWypQlmNJkgrUp5+GJdRVzjsPDjwwWhxJc+fC3/4WjhE64AA47rjqn3/99RWPGFqVle243KpVNk4S2HDDVZfcjh1XfP+TT4YzeNfkDrJUQizHkiQVoDSF88/P/v68+eZw3XVxM0klp6ICXnwxFN7Jk+Ef/wjPAgPMnLliOV7Zhlb16oWSu3y53XXXFV87bFh4bqJly+wZ4DXRvPmavV4qMZZjSZIK0B/+APffn81vvx2aNYuXRyoZM2ZkZfiJJ8LzwivzxBOhKNdf5q/bp54alncsW4LXpORuvvm6ppe0GpZjSZIKzOefh7vGVc46Czp1ipdHKhlPPgkHH7z61+y6azhTtnPnFY8G2mGHoj4jVip0lmNJkgrMhRfCF1+Ecbt2cP31cfNIRaVqqfTkydCzZ/Ud7vbeGxo2DOflVvne97Iy3KkTtG5d95kl5YTlWJKkAnL//fD732fz226DFi3i5ZGKwvTp1ZdKV52NtscecPjh2euaNoVDDgkFuqoQ77DDineIJRUky7EkSQXiyy/DmcZVzjgDDj00Xh6pYM2dC089Fcrw5Mnwzjsrf92UKdXLMcDDD1uGpSJlOZYkqUB07w6zZoXxppvCyJFx80gF6fLLw9buFRWrfs2mm4a7woccsuLnLMZS0bIcS5JUAB5+GH7zm2w+fjxssEG8PFLemzEj/Fj+8O927VYsxuutF15XtVR6++0twVIJshxLkpTnZs+Gs8/O5qecAkceGS+PlJdWtlR6003ho4+qF93OncPHjh2zu8P77QeNGsXJLSlvWI4lScpzF18MM2eGcZs2MHp03DxSXigvz3aVnjwZnn9+xTvCn3wCr70GO+6YXdtyy3Ae2kYb1W1eSXnPcixJUh577DG4++5sfsst0LJlvDxSdBUVcOKJYbOsql2lV6ZqqfSiRSt+zmIsaSUsx5Ik5ak5c6Bbt2z+y1/CMcfEyyPVuTlzwh3iVq2ya2Vl8N57Ky/GHTuGZdKdO7tUWtIasxxLkpSneveGjz8O4403hhtvjJtHqnXl5fCvf2VnDj//fNhd+sorq7+uc2eYNg3ats3KcKdO4X8USVpLlmNJkvLQ5Mlw++3Z/OabXQmqIvXee1kZfuKJcLd4WZMnr1iOzzkHfvUrd5WWlFOWY0mS8sy8edWXUx93XPghFY233go7y02eDO++u/rXVlTAkiXQoEF2bbPNajefpJJkOZYkKc9ccgl88EEYt2oFN90UN4+0TioqwnPCy1qwIOwutzJt22bnDR98sEulJdUZy7EkSXnkySdh3LhsfuON0Lp1vDzSWnnvveyIpSefhP/+t/rd3p13hk02gc8+gyZNwq7SVYV4u+1cKi0pCsuxJEl5Yv58OPPMbH7MMWGHainvff01PPVUVojfe6/656dMga5ds3m9ejBmTCjI++7rrtKS8oLlWJKkPNGvH0yfHsYbbhhWnXoDTXnrpZfgoYdCGf7nP8Py6VV54YXq5RjghBNqN58krSHLsSRJeeDpp6sf1TRmDLRpEy+P9J3uvBPGjl3555o0gYMOCsukDzkkLJWWpDxnOZYkKbJvv4UuXbL5kUeGU2qkqJZdKr1kSfWzxSAU36pynCSw++5ZGXaptKQCZDmWJCmy/v2z02zWXx9uvdXl1IqgvDwsj548OTwj/MIL2VLpxo1DEW7cOHv9gQeGpdKHHBJ2lfYgbkkFznIsSVJEzz0XjnutMmpUOMlGqhPvvpuV4SeegLlzV/66hQvhmWegU6fsWvPmK95NlqQCZjmWJCmSBQvCcuo0DfNDD4XTT48aSaVkyRLYbTeYN2/ln69aKn3IIWG59L771m0+SapjlmNJkiIZOBDefDOMmzeH225zObXqUIMGYdOshx7Krn3/+9l5wy6VllRiLMeSJEXwwgswYkQ2Hz4c2rWLl0dFrrwcZsyArbaqfv3//b/wXHFVId52W79DI6lkWY4lSapjixaF5dSVlWF+8MHQrVvcTCpiL70U/gP7/HP4v/8LyxSqdOlSfat0SSph9WIHkCSp1AweDK+9FsZNm4Y9jbxZp5ybPx969YI99wwF+cMP4YorYqeSpLzlnWNJkurQtGlw3XXZfNgw2GKLaHFUrB55BM47Dz74ILvWuDFsumm8TJKU5yzHkiTVkcWL4YwzsqNjDzwQzjknaiQVm08/he7d4b77ql8/+GAYN27FZ44lSf/jsmpJkurIkCHwyith3KRJWE5dzz+JlQuVlTB+PGy3XfVi3KoV3H13OMfYYixJq+WdY0mS6sC//w3XXJPNr7kG2rePl0dFJE3DrtN/+Uv166eeGrZE9zgmSaoRv18tSVItW7IkLKcuLw/z/feHCy+Mm0lFJEngiCOyefv24U7x3XdbjCVpDXjnWJKkWjZ0aLhzDGFPpDvucDm1cuzss+F3v4P99gs7Uq+3XuxEklRwLMeSJNWiV16Bq67K5ldfDVtvHS+PCtxXX8Gll8K550LHjtn1evXgySehrCxeNkkqcJZjSZJqSXl5WE69ZEmY77MP9OgRN5MKVJrCb38LF18Ms2bByy/D889D/WX+KmcxlqR14qIuSZJqyfDh4VxjgEaNwnJq+4vW2PTpcPjhcPLJoRhD+A/rkUfi5pKkImM5liSpFrz2GgwcmM2vvBK23z5eHhWg8nK4/nrYcUeYNCm73rYtPPhg2KFakpQzLquWJCnHKiqgSxdYvDjM99wTevWKm0kF5l//grPOynZyg7Ar9YUXhgfXmzePl02SipTlWJKkHBs1Cl54IYwbNAjLqev7J65qYt486N8fxo6FysrseocOcNttsNde8bJJUpFzWbUkSTn01lvhJJ0qAwbATjvFy6MCM3063HxzVozXWw+uuw5efNFiLEm1zHIsSVKOVC2nXrgwzHfbLZy6I9VYhw7ZGvxDDoFXX4VLLglLECRJtcpFXpIk5cjYsfDss2Fcvz7ceaedRqtRWRl2blt+acGAAbD77nDcceE5Y0lSnfDOsSRJOfDOO9C3bza//HLYZZd4eZTn/u//4Ec/gn33hQ8/rP65Jk3g+OMtxpJUxyzHkiSto8pK6NoVFiwI8w4doF+/uJmUpxYuDBtu7bYbPPcczJ8fdqCWJEXnsmpJktbRLbfA00+HcVlZWE7dsGHcTMpDTz4JZ58dlhlUadAgfDeloiL8xyNJisZyLEnSOpg+vfqmW5deCh07xsujPPTFF9C7N9x9d/Xr++0H48fDDjvEySVJqsZl1ZIkraU0hTPPhG++CfMddgh7KUlA+A/knntg++2rF+P114dx48JyA4uxJOUN7xxLkrSWxo8PK2UB6tWDu+6CRo2iRlI+OfNMuOOO6teOPx7GjIHvfS9OJknSKnnnWJKktfDBB9CnTzbv3Rv23DNeHuWhn/88G7drBw8/DPfdZzGWpDzlnWNJktZQmkK3bjBvXphvuy1ceWXcTMpDRxwBJ50Em2wCgwdDs2axE0mSVmOd7xwnSdIqSZIzkyR5IEmSd5IkWZAkyZwkSZ5JkqRrkiRr9HMkSfL9JEnuSJLkkyRJFiVJMiNJktFJkmy4rlklScqFO++EyZPDOEnCytnGjeNmUkRz54bjmB56aMXP3XMPjBxpMZakApCLO8fHA7cAM4GngA+ATYCfAbcDhydJcnyapul3faEkSdoDzwGtgT8DbwB7Ad2Bw5Ik2S9N0y9zkFmSpLXy0UfQs2c2v/hi+OEP4+VRZA8+CBdcAB9/HMYHHQTNm2efr+cTbJJUKHLxO/ZbwNHA99M0PTlN075pmnYBtgM+BH5OKMo1cTOhGF+UpukxaZpelqbpT4BRwLbAkBzklSRpraRpOKZ2zpww32oruOqquJkUyUcfwbHHhh8ff5xdmzgxbi5J0lpb53KcpumTaZo+nKZp5XKrEKzAAAAgAElEQVTXPwXGLZ0e+F1fJ0mSLYHOwAzgpuU+PRD4BjglSZKm65pZkqS1cc898OijYVy1nLpJk7iZVMcqKmDs2HAE04MPZtdbt4bf/Q7OOSdeNknSOqnttT5Lln4sr8Frf7L04+SVFO15wLNAE2Cf3MWTJKlmZs6E7t2z+QUXwI9+FC+PIvjvf2G//cLzxVW7sUHYne2NN+CEE8J3TSRJBanWdqtOkqQ+cOrS6eM1eMu2Sz++tYrPv024s7wN8MR3/NzTVvGp7WqQQ5KkFZx3Hnz9dRj/4Adw7bVx86gOLVgQdpsePhzKl/l+/7bbhsOuf/zjeNkkSTlTm3eOhwI7AY+maTqpBq9ff+nHOav4fNX1DdY1mCRJa+Lxx6uvoJ0wAZr6kE/p+PpruOWWrBg3bAiDBsF//mMxlqQiUit3jpMkuQjoRdht+pRcfdmlH79z1+s0TXdfRa5pQMcc5ZEklYAlS8KO1FW6dg0bEquEfO97MHQonHtuWEt/662w/faxU0mScizn5ThJkvOBMcBrwMFpmn5Vw7dW3RlefxWfb7Hc6yRJqnU33xweJwVo0QKGeG5CcUtTmDYN9tij+vWzzgqbbh1zjMczSVKRyunv7kmS9ADGAq8CBy3dsbqm3lz6cZtVfH7rpR9X9UyyJEk59cUXYfVslSuugE02iRZHte3tt6FTJ9h771CQl1WvHvzsZxZjSSpiOfsdPkmSSwnnEf+bUIxnreGXeGrpx85JklTLlSRJc2A/YAHw/LpmlSSpJgYMyDbh2npruOiiuHlUSxYvDksCdt4ZnnwSKivDDtTlNTlsQ5JULHJSjpMkuYKwAdc0wlLqL1bz2gZJkmyXJEn7Za+nafouMBnYAjh/ubddCTQFfp2m6Te5yCxJ0uq88kp4tLTKiBFhHyYVmeeeg44doX9/WLQoXKtXD37yE8uxJJWYdX7mOEmS04DBQAXwd+CiZMUz/makaXrX0nFb4HXgfUIRXtZ5wHPADUmSHLz0dXsDBxGWU1++rnklSfouaQo9eoQbiACdO8NRR8XNpBybMwf69oVx48K/8Cq77x6OZ+ro/p2SVGpysSHXD5Z+LAN6rOI1U4G7vusLpWn6bpIkexDK9mHAEcBM4AbgyjXY3EuSpLX25z+H1bUAZWUwahSs+H1fFaQ0hfvvhwsvhJkzs+tNm8LVV8MFF0D9WjnMQ5KU59b5d/80TQcBg9bg9TPIjmVa2ec/BM5Y11ySJK2NRYugV69sft55sMMO8fIox/r3h2uuqX7tyCPDtuSbbRYnkyQpL7jloiRJyxg9Gt57L4xbtqy+W7WKwAknZHeG27SB++6Dhx+2GEuScn/OsSRJhWrmzLCytsrgwaEgq4h06AB9+sBXX8HQobDBBrETSZLyhOVYkqSlLr8c5s8P4x13hLPPjptH6+Cbb+DKK2HzzeH85Q7BGDLEh8glSSuwHEuSBLz4Itx5ZzYfPdp9mQrW44/DuefCjBnQrBkcfTS0a5d93mIsSVoJnzmWJJW8NIXu3bP50UdDp07x8mgtffYZnHQSHH54KMYQlgLcdlvUWJKkwuD3xCVJJe93v4PnngvjBg1gxIi4ebSG0hTuuCM8Szx7dna9ZcvwL/O00+JlkyQVDMuxJKmkffMNXHJJNu/RA7baKl4eraE33wwPh0+dWv36ySfDyJHQunWcXJKkguOyaklSSbv+evjoozBu3Tocg6sCsGhR2E68Q4fqxfgHP4BJk2DiRIuxJGmNWI4lSSXrgw/guuuy+TXXQIsW8fJoDZSXhx3UFi8O87KysATg1Vehc+e42SRJBclyLEkqWZdeCgsXhnHHjnD66VHjaE00bQq33BLGe+4J06aF73Q0aRI3lySpYFmOJUkl6ZlnwkZcVUaPDjcflYfSFP7+9xWvH3YYPPoo/OMfsMsudZ9LklRULMeSpJJTWVn96KYTToAf/SheHq3G++/DUUfBj38Mf/7zip8//HC/qyFJygnLsSSp5Nx1F7z0Uhg3bgzDhkWNo5UpLw+7Te+wQ7g7DHD++TB3btxckqSi5VFOkqSSMncu9OuXzS+5BDbbLF4ercRLL0G3btl3MACSBI4+Ol4mSVLRsxxLkkrKkCHw2Wdh3LZt9TOOlQdGjoQ+fcLa9yo77QTjx8O++8bLJUkqei6rliSVjHfeCRtvVRk2LGx6rDxxyy3Qq1dWjBs1CudrTZtmMZYk1TrvHEuSSkbv3tmxuPvuCyeeGDePlnHvveGZ4ir77gt33w1bbx0vkySppFiOJUkl4a9/rb7Z8Zgx4TFW5YFPP4WuXcORTQB77w2TJkHz5nFzSZJKisuqJUlFr7wcevTI5qedBnvuGS+PltOmDfzhD2Hr8J12CrtTW4wlSXXMO8eSpKI3fjz83/+FcbNmcO21cfNoJY46CqZMgfbtoWXL2GkkSSXIcixJKmpffQVXXJHN+/WD730vXh6txv77x04gSSphLquWJBW1K68MBRngBz+Aiy+Om0fA9Olw2GEwc2bsJJIk/Y/lWJJUtF57DW66KZsPHx4ea1VEM2dCp05hw6399w9FWZKkPGA5liQVpTQNd4krKsL8oIPg2GPjZip5X30FnTvDe++F+ccfwwcfxM0kSdJSlmNJUlF65BGYPDmM69WD0aM9uimqefPg8MPh1VfDvKws7FB9wAFxc0mStJTlWJJUdBYvhp49s/lZZ0GHDvHylLyFC+GYY+Cf/wzzJIG774af/jRuLkmSlmE5liQVnRtvhLffDuP114fBg+PmKWnl5fDLX8KTT2bXxo6Fk0+Ol0mSpJWwHEuSisqsWdXL8KBBsPHG0eKUtspK6NIF/vzn7NqQIXDeefEySZK0CpZjSVJR6d8f5s4N4223hfPPj5unZKUp9OgB99yTXevTB/r2jZdJkqTVsBxLkorGv/8Nt9+ezUeNggYN4uUpaYsXh7O0qnTrBtdd565okqS8VT92AEmSciFNoXv38BHCxsiHHx43U0lr1Aj+8hc48URo2BBuucViLEnKa5ZjSVJR+NOf4Omnw7h+fRg5Mm4eAY0bh+OaKivD0U2SJOUxl1VLkgreggXQu3c2v+AC2G67eHlK1vTpK16rXz/cOZYkKc9ZjiVJBW/kSHj//TDeaCMYMCBunpI0eXL4jsS112Zr2yVJKiCWY0lSQfv4Y7jmmmx+1VWw4Ybx8pSk556DY48Nm3D16+eadklSQbIcS5IKWt++8O23YdyhQ9gUWXXoP/+BI47I/iW0awfHHx83kyRJa8FyLEkqWM8/X/0Y3dGj3fepTr39NnTuDHPmhPnGG8Nf/wqbbRY3lyRJa8FyLEkqSJWV0KNHNv/Zz+Cgg+LlKTkffgidOsGsWWG+/vowaRJss03cXJIkrSXLsSSpIP3mN/DCC2HcsCFcf33cPCXl88/hkEPggw/CfL314JFHYLfd4uaSJGkdWI4lSQVn/ny47LJs3qsXbLllvDwlZc4cOOwwePPNMG/QAO6/H/bbL24uSZLWkeVYklRwhg6FTz4J4zZtwqZcqgNpCscdBy+9FOb16oVb+IcdFjeXJEk5YDmWJBWUGTNg+PBsPnQoNG8eLU5pSRK45BJo0iTMx493Z2pJUtGoHzuAJElrok8fWLQojPfcE045JW6eknPIIWFH6mnToGvX2GkkScoZy7EkqWBMnQp//GM2HzMmrOxVHdt33/BDkqQi4l8pJEkFoaICunfP5iedZD+rE6NGhWObJEkqcpZjSVJBuOMO+M9/wrhJE7juurh5SsLQodCzJ+y/P7z1Vuw0kiTVKsuxJCnvzZkDl1+ezS+9FL7//Xh5SsItt2TbgH/wgd+NkCQVPcuxJCnvXXUVfP55GG+2GfTuHTdP0bv3Xjj//Gz+k5/ATTfFyyNJUh2wHEuS8tpbb4WNt6oMG5adJKRa8Je/wKmnhjONAfbaCx58EBo3jptLkqRaZjmWJOW1Xr2gvDyM998ffvGLuHmK2t/+Fs4trqgI8x13hMce8yBpSVJJsBxLkvLWpEnhRiZAkoQ7yEkSN1PRevFF+OlPYeHCMN9yS5g8GVq2jJtLkqQ6YjmWJOWlJUvg4ouzeZcu0LFjvDxF7bXX4LDDYP78MP/e92DKFNh007i5JEmqQ5ZjSVJeuuUWeP31MG7eHIYMiZunqI0cCV9+GcYtW4ZivOWWcTNJklTH6scOIEnS8r74AgYOzOZXXAGbbBIvT9G7+eZw1/iRR8IzxjvuGDuRJEl1znIsSco7AwfC11+Hcfv2cNFFcfMUvYYN4Te/gTffhB12iJ1GkqQoXFYtScorr7wC48Zl85EjoVGjeHmK0pIlK14rK7MYS5JKmuVYkpQ30jRswlVZGeaHHBI2UFYOLVoERxwR1qpXnWUsSZJcVi1Jyh8PPQRPPBHGZWUwapRHN+VUeTmceCL89a/hx9dfww03+IssSRLeOZYk5YlFi6BXr2x+7rnuC5VTlZXQrRs88EB2rU0bi7EkSUtZjiVJeWHMGHj33TDecEMYNChqnOKSptCzJ9x1V3atVy/o1y9aJEmS8o3lWJIU3aefwlVXZfPBg6FVq3h5is7gweG7D1W6doXrr/eusSRJy7AcS5Ki69cvHLMLYcPkc86Jm6eojBlT/Tb88cfDrbdajCVJWo7lWJIU1YsvVl/tO3o01He7yNy46y7o0SObH3ooTJwYdjuTJEnVWI4lSdGkaehuVScK/fSn4fgm5cADD4Tl01X22w/+9Cdo2DBeJkmS8pjlWJIUze9/D88+G8YNGsCIEXHzFJWWLaFp0zDedVf4y1+yuSRJWoHlWJIUxbffQp8+2bx7d9h663h5is4BB8BTT4U7xpMmwQYbxE4kSVJe86kuSVIU118PH30Uxq1bQ//+cfMUpd13h7//3c23JEmqAe8cS5Lq3IcfwnXXZfMhQ2D99ePlKQrvvAPvvbfidYuxJEk1YjmWJNW5Sy+FBQvCeLfd4Iwz4uYpeB99BJ06wf77w6uvxk4jSVJBshxLkurUs8/Cb3+bzceM8WShdfL552GL7/ffh5kz4fDDYeHC2KkkSSo4lmNJUp2prAwbb1X5xS/gRz+Kl6fgzZ0byvAbb4R5/fowfjw0bhw3lyRJBchyLEmqM3ffDdOmhXHjxjBsWNw8BW3BgnAwdNUvaJLAb34TyrIkSVpjlmNJUp2YOxf69s3mffrA5pvHy1PQliyB44+Hp5/Ort16a7gVL0mS1orlWJJUJ665Bj77LIzbtg2bcmktVFTAaafBI49k166/Hrp1i5dJkqQiYDmWJNW6d9+FUaOy+XXXQdOm8fIUrDSFCy6ovqNZv37Qu3e8TJIkFQnLsSSp1vXuDYsXh/E++8BJJ8XNU7DuvRfGjcvm550HV18dL48kSUXEcixJqlVPPAEPPpjNx4wJe0dpLZxwApx+ehiffDLceKO/mJIk5Uj92AEkScWrvBx69Mjmp54Ke+0VL0/Bq18fJkyA/fcPv5j1/B63JEm5YjmWJNWa226DV18N46ZN4dpr4+YpCvXqQdeusVNIklR0/JazJKlWzJ4NV1yRzfv1g003jZenID3yCFx2WdiIS5Ik1SrvHEuSasWVV8KXX4bxFltAz55R4xSeqVPhuONg4cLwCzluHJSVxU4lSVLR8s6xJCnnXn8dxo7N5sOHQ+PG8fIUnGnT4Kc/DcUY4K9/zb7TIEmSaoXlWJKUU2kKF18MFRVhfuCB8LOfRY1UWF5/HQ47DObNC/M2bUI5bt06bi5Jkoqc5ViSlFOPPgqTJoVxvXowerSnDdXYjBlwyCHwxRdhvuGGMGUKtG8fNZYkSaXAcixJypnFi6s/W9ytG+yyS7w8BeXTT0Mx/vjjMG/aFB57DHbaKW4uSZJKhOVYkpQzY8fCW2+F8frrw1VXxc1TMGbPhs6d4Z13wrxhQ/jzn2HvvePmkiSphFiOJUk5MWsWDB6czQcOhI03jpenYMyfD0ceCa+8EuZlZfD738PBB8fNJUlSibEcS5Jy4oorYM6cMN5mGzj//Lh5CsZ774VNuKrccQccc0y8PJIklSjLsSRpnf3733Dbbdl81KiwMlg10KFDONO4TRu44QY49dTYiSRJKkn1YweQJBW2NIUePcJHCKcQHXFE3EwFp0OHcPd4gw1iJ5EkqWR551iStE7uvz/c+ASoXx9GjoybJ++lKXz22YrXLcaSJEVlOZYkrbWFC6F372x+/vmw/fbx8hSEq66CnXeGl1+OnUSSJC3DcixJWmsjR8KMGWHcqlXYoVqrccMN4Rfp88/hwAOzHaolSVJ0lmNJ0lr55BO45ppsftVVsOGG8fLkvbvvhu7ds/k++4RtvSVJUl6wHEuS1krfvvDNN2G8887QrVvcPHntgQegS5ds/sMfhoe1GzWKl0mSJFVjOZYkrbEXXoBf/zqbjx4dNuPSSvz1r/DLX0JlZZh36AB/+Qs0bRo3lyRJqsZyLElaI5WV1VcHH3ss/OQn8fLkteefh2OOgcWLw3yrrWDyZNefS5KUhyzHkqQ1cu+94c4xQMOGMHx43Dx565VXwoHPVWvPv//9cBd5k03i5pIkSStlOZYk1dj8+XDppdm8Z0/Ycst4efLWJ59A584we3aYb7QRTJkCm28eN5ckSVoly7Ekqcauuy70PoA2baBfv7h58labNmE5NUCLFjBpEmy3XdxMkiRptdw+RZJUIzNmVF9Cfe210Lx5tDj5rV49uPlm2Hhj6NQJOnaMnUiSJH0Hy7EkqUYuuQQWLgzjPfaAU0+NmyfvJQkMHhw7hSRJqiGXVUuSvtPTT8Mf/pDNx4wJN0e11IIFcMMN2XFNkiSp4PhXG0nSalVUVD+66cQT4Yc/jJcn7yxZAr/4RfhFOu20MJckSQXHcixJWq0774R//zuM11svbMqlpSor4fTT4S9/CfOJE+Ghh6JGkiRJa8dyLElapTlzqu9Ifeml0K5dvDx5JU3hggvCwc9V+vaFn/88XiZJkrTWLMeSpFW6+mr4/PMwbtcO+vSJmyevXH453HJLNj/3XBgyJF4eSZK0TizHkqSVevvtsPFWlWHDoEmTeHnyyrBh4SyrKiedBGPHhh2qJUlSQbIcS5JWqlevbG+p/faDE06ImydvjB8f1pdXOeoouOsut++WJKnA+Se5JGkFkyfDww+HcZKEO8jeFAV+/3s455xsfsABcN990KBBvEySJCknLMeSpGqWLIGLL87mZ5wBu+8eL0/e+PZb6NkzbMQFsMceYWfq9daLm0uSJOWE5ViSVM24cfDaa2HcvLl7TP1PkybwxBPQti1svz089hi0aBE7lSRJypH6sQNIkvLHl1/CwIHZvH9/aNMmXp68s9128MwzUL8+bLRR7DSSJCmHLMeSpP8ZOBBmzw7j9u2he/e4efLSFlvETiBJkmqBy6olSQC8+mr1Y3tHjIBGjeLlyQuvvALvvhs7hSRJqgOWY0kSaQo9ekBlZZgffDAcfXTcTNF9+y384hew664wYUK2EZckSSpKlmNJEg89FPaagnBc7+jRHt3EpZfCG2/A/Plhffknn8ROJEmSalFOynGSJMclSXJjkiR/T5JkbpIkaZIkE9fi68xY+t6V/fg0F1klSdUtWgS9emXzc86BnXaKlycvPP44jB2bzUePDrtUS5KkopWrDbn6A7sA84GPgO3W4WvNAUav5Pr8dfiakqRVGDMme6x2ww1h8OC4eaL74otwuHOVo4+Grl3j5ZEkSXUiV+X4YkIpfgc4AHhqHb7W12maDspFKEnS6n36KVx9dTYfNAhatYoWJ740hbPPDr8wAK1bw223ucZckqQSkJNynKbp/8pw4l8gJKlgXH45zJsXxttvD+eeGzdPdHffDfffn83vuCMUZEmSVPTy8ZzjRkmS/ArYDPgG+C/wdJqmFXFjSVJxmTYN7rwzm48aBQ0axMsT3fTpcNFF2fycc+DII+PlkSRJdSofy3Eb4J7lrk1PkuSMNE2n1uQLJEkybRWfWpdnoSWpaKRp2IC56nSio46CQw+Nmymqigo45ZTsNvrWW8Pw4XEzSZKkOpVvRzndCRxMKMhNgZ2BW4EtgMeSJNklXjRJKh733QfPPhvGDRrAiBFx80T35JPZL0hZGUycCE2bxs0kSZLqVF7dOU7T9MrlLr0KnJMkyXygFzAIOLYGX2f3lV1feke54zrGlKSC9u230KdPNr/oIthmm3h58sIhh8CkSXD66WE59V57xU4kSZLqWF6V49UYRyjHP44dRJIK3fDh8OGHYbzxxnDFFXHz5I3OneHVV6FFi9hJJElSBIVSjmct/egaN0laBx9+CEOHZvMhQ2D99ePlyTstW8ZOIEmSIsm3Z45XZd+lH9+LmkKSCtxll8GCBWG8yy7QpUvcPFG9+CJ88UXsFJIkKU/UeTlOkqRBkiTbJUnSfrnrOyZJssK37JMk2RwYu3Q6sS4ySlIxeu45uPfebD5mTNh7qiR9+SUcfTTsvDM8/njsNJIkKQ/kZFl1kiTHAMcsnbZZ+nHfJEnuWjr+Ik3T3kvHbYHXgfcJu1BXOR64LEmSp4DpwDygPXAk0Bh4FPBcDUlaC5WV4eimKscdBwccEC9PVGkKZ58NM2eG+emnw7vvuju1JEklLlfPHO8KnLbctS2X/oBQhHuzek8B2wK7EZZRNwW+Bp4hnHt8T5pWncgpSVoTv/51WEUM0KgRXH993DxR/frX8Kc/ZfMJEyzGkiQpN+U4TdNBhGOWavLaGUCykutTgam5yCNJysybB337ZvPevWGLLaLFiWv6dLjwwmx+9tlw5JHx8kiSpLxRKBtySZLW0jXXwKefhvGmm4ZNuUpSRQWcemr4bgHA1lvDiBFxM0mSpLxhOZakIvbeezByZDa/7jpo1ixenqiGDYNnngnjsjKYONHl1JIk6X8sx5JUxHr3hsWLw3jvveGkk+Lmieall2DAgGw+YADstVe8PJIkKe9YjiWpSD35JDzwQDYfMwbqleLv+gsWwK9+BeXlYb7PPtCvX9xMkiQp75TiX5MkqeiVl0OPHtn8lFPCneOSdO+98PrrYdy0KdxzD9TP1WENkiSpWFiOJakI3X47vPJKGDdtCtdeGzdPVF26wJ13QvPmMGoUbLVV7ESSJCkP+a1zSSoys2dD//7ZvG9faNs2Xp7okgROPx0OPRTatImdRpIk5SnLsSQVmcGD4csvw3iLLaBnz6hx8sf3vhc7gSRJymMuq5akIvLGGzB2bDa//npYb714eaJ54YWwEZckSVINWY4lqYj07JltynzAAfDzn8fNE8X06XDIIbDHHvDyy7HTSJKkAmE5lqQi8eij8NhjYZwkMHp0+FhSKirg1FNh3jx47bWwTXdlZexUkiSpAFiOJakILF5c/dnibt1g113j5Ynm+uvhmWfCuKwM7rijRA93liRJa8q/MUhSEbjpJnjzzTBu0QKuuipunihefhkGDMjmV1wBe+0VL48kSSoolmNJKnCffw5XXpnNBw6E1q3j5YliwQI4+WRYsiTM994bLr88biZJklRQLMeSVOCuuALmzAnjbbaBCy6ImyeKyy6D118P4yZN4J57oL6nFUqSpJqzHEtSAXvlFbjttmw+ciQ0bBgvTxSTJ8MNN2Tz0aNh663j5ZEkSQXJcixJBeySS7LNmA89FI44Im6eOvfll3D66dn86KPhzDOjxZEkSYXLcixJBWrKFHj88TCuVw+GDy/Bo5vGjIGZM8O4detwG73kfhEkSVIuWI4lqQBVVECfPtn8jDNgp53i5YlmwICwNXf9+jBhQgnuRCZJknLFcixJBWjiRPjPf8K4SRMYPDhunmjq14f+/eGdd+Coo2KnkSRJBcxyLEkF5ttvQx+s0qsXbLppvDx5YfPNYyeQJEkFznIsSQVm9Gj46KMw3mST6surS8ILL4R15ZIkSTlkOZakAjJrFgwdms2vvBKaN4+Xp869/DL86Edw8MHw/vux00iSpCJiOZakAjJ4MMybF8bbbw9du8bNU6cWLICTT4YlS2DqVDjrrNiJJElSEbEcS1KBePNNuPXWbD5sWNiPqmRcdhm8/noYN2kCY8fGzSNJkoqK5ViSCsRll0F5eRgfeCAceWTUOHVryhS44YZsPmoUbL11vDySJKnoWI4lqQD8/e/w4IPZfPhwSJJ4eerUV1/B6adn86OOgm7dosWRJEnFyXIsSXkuTavvSH3SSbD77vHy1Kk0hXPOgU8+CfPWrWHChBL6zoAkSaorlmNJynN/+EM4vQigUSMYMiRunjo1cWL4BagyYUIoyJIkSTlmOZakPLZoUXjWuMpFF8EWW0SLU7dmzIDzz8/mZ50VllRLkiTVAsuxJOWxm2+G6dPDuGVL6Ncvbp46NWhQdm7VVlvBiBFR40iSpOJmOZakPDV7Nlx1VTa/4grYYIN4eercTTfB2WdDWVlYXt2sWexEkiSpiFmOJSlPXXNNKMgA7dvDeefFzVPnmjaFcePgjTdg771jp5EkSUXOcixJeWj69OrH+l57LTRsGC9PVFttFTuBJEkqAZZjScpDl18OixeH8T77wHHHxc1TZ156KXYCSZJUoizHkpRnXnwRfvvbbD58eIkc6ztlSjjA+cQTs/XkkiRJdaR+7ACSpEyaQu/e2fxnP4P99ouXp8589RWcfnoY/+530KRJONNYkiSpjnjnWJLyyMMPw9SpYVy/PgwdGjdPnUhTOOcc+OSTMN9447AbmSRJUh2yHEtSnigvh0svzebnnANbbx0vT52ZOBH+8IdsfvvtsMkm8fJIkqSSZDmWpDxx++3h1CKAFi1gwIC4eerE++/DBRdk827d4Oij4+WRJEkly3IsSXlg3jwYODCb9+0bVhcXtYoKOPVUmDs3zLfaCkaOjJtJkiSVLMuxJOWBYcNg1qwwbtcOunePm6dOjBgBTz8dxmVlcM890KxZ3EySJKlkWY4lKbKPPw49scrVV8N668XLUydefhn690vD+SEAACAASURBVM/ml18eDnSWJEmKxHIsSZENGAALFoTxrrvCr34VN0+d6NkTliwJ4z33rF6UJUmSIrAcS1JE//0v3HlnNh8+HOqVwu/Mv/sdHHVUOM944kRo0CB2IkmSVOLqxw4gSaXskkvCMb8Ahx8OBx8cN0+d2WQTeOihsD33NtvETiNJkuSdY0mKZcoUmDQpjOvVC5tylZQkge23j51CkiQJsBxLUhQVFdCnTzY/4wzYaad4eWpdmsKrr8ZOIUmStEqWY0mKYOJE+M9/wrhJExg8OG6eWveb30CHDuE7AosWxU4jSZK0AsuxJNWxb78NJxdV6d0bNt00Xp5a9/77cP754e7x8OEwdGjsRJIkSSuwHEtSHRs9OpxtDGFfqmWXVxedigo47TSYOzfM27eHXr3iZpIkSVoJy7Ek1aFZs6rfOL3ySmjWLF6eWjdyJEydGsZlZWE9eVH/A0uSpEJlOZakOjR4MMybF8bbbw9du/5/9u47PKpqbf/4vVMIgVAEpEkvguJRBEEsqIAFwYJgRTyIGCQgARFQEUSacghNOgQbIno8oIL6ckQFFUUPIipFBEsiVWpoJoSQ7PePRTIZkkCAmayZ5Pu5Lq5Zz94zs+/8fu/BPOy117Kbx69++sl7/vizz0otWtjLAwAAcAo0xwBQQDZtkmbO9NRjx0phhXW3+aNHpQcflNLSTN2smTRkiN1MAAAAp0BzDAAF5OmnzSO4knTDDVL79lbj+Nczz0gbNphxiRJmOnV4uN1MAAAAp0BzDAAFYMUK6f33PfW4cZLj2MvjV59+alYdyzR+vHThhfbyAAAA5APNMQD4meua7ZoyPfig1LSpvTx+lZ5utm3K1L699Nhj9vIAAADkE80xAPjZO+9Iq1aZcUSENHq03Tx+FRoqLV4sXXGFVKGCNGdOIb5FDgAACpPCuhQMAASE1FTz+G2m2FipZk17eQpEgwbSypXS5s1S5cq20wAAAOQLd44BwI+mT5cSEsy4XDlp8GC7eQpMeLjUqJHtFAAAAPlGcwwAfpKUJI0c6amfe04qW9ZeHr9JT5d++812CgAAgHNCcwwAfjJ6tGmQJaluXSkmxm4ev5kwQbrkEumll6SMDNtpAAAAzgrNMQD4QUKCNGWKp37xRalYMXt5/Oann6RnnzUPV/frJ73+uu1EAAAAZ4XmGAD84NlnpWPHzLhFC+nuu+3m8YujR82+VGlppm7WTOrSxW4mAACAs0RzDAA+9t130ltveerx4wvpbkaDB0sbNphxiRLSvHlmIS4AAIAgRHMMAD7kutKAAZ66Y0fp6qvt5fGbTz+VJk701OPHSxdeaC8PAADAOaI5BgAf+uAD6csvzTgsTBozxm4ev9i/X3r4YU/dvr302GPW4gAAAPgCzTEA+EhamjRokKeOiZHq17eXxy9cV+rVS9q+3dQVKkhz5hTSeeMAAKAooTkGAB+ZM0fatMmMS5c2+xoXOvPnS//+t6eeM0eqXNleHgAAAB+hOQYAHzh8WHr+eU/9zDPmpmqhcuSIFBvrqbt3l+68014eAAAAH6I5BgAfGDtW2r3bjKtXl/r2tZvHL6KipMWLpdq1pTp1vBfkAgAACHJhtgMAQLDbvt0s1pxp9GgpMtJeHr+65hrpxx/ND12qlO00AAAAPkNzDADnaOhQKSXFjC+/XHrwQbt5/K50afMHAACgEGFaNQCcg7Vrpdde89RxcVJIYfqb9ehRaedO2ykAAAD8rjD9CgcABW7QILO7kSTdeqvUpo3dPD43eLB0ySXSggW2kwAAAPgVzTEAnKWlS6WPPzbjkBCzKFeh8tlnZtGt/fule+6RPv3UdiIAAAC/oTkGgLOQni4NHOipH3nE3GAtNJKSpK5dPXW7doXwtjgAAIAHzTEAnIU33jDPG0tSiRLSiBF28/iU60oxMWZFasls2Pzyy5Lj2M0FAADgRzTHAHCGkpOlIUM89YABUpUq9vL43Pz50r//7anj46XKle3lAQAAKAA0xwBwhiZN8txUrVTJe3p10NuyRerd21N37y516GAvDwAAQAGhOQaAM7B7tzRmjKceMUKKirKXx6cyMsxzxgcPmrpOHbMgFwAAQBFAcwwAZ2D4cOnwYTO+6CKzEFehMWGC9PnnZhwSIs2bJ5UqZTUSAABAQaE5BoB82rRJmjXLU48dK4WF2cvjU1u3Ss8+66kHD5auuspeHgAAgAJGcwwA+fT002YLJ0lq1Upq395uHp+qXl16802pXDnpiiuk556znQgAAKBAFZZ7HgDgVytWSO+/76nj4grhzkZ33y1dfbWUkiKFh9tOAwAAUKBojgHgNFzXbNeU6cEHpaZN7eXxq6pVbScAAACwgmnVAHAa77wjrVplxhER0ujRdvP4zMGDntXFAAAAijiaYwA4hdRU6ZlnPHXfvlLNmvby+FRMjHTZZdLXX9tOAgAAYB3NMQCcwrRpUkKCGZcv790oB7W33jJ/EhKk666TfvnFdiIAAACraI4BIA9JSdKoUZ566FCpbFl7eXxmyxZz1zjTww9LDRtaiwMAABAIaI4BIA+jR5sGWZLq1vXuJ4NWRoZphg8eNHWdOtKkSVYjAQAABAKaYwDIRUKCNGWKpx4zRipWzF4en5k4UVq+3IxDQqQ33pBKlbKbCQAAIADQHANALgYPlo4dM+OrrpI6dbKbxyfWrjU/WKZnnjH7GgMAAIDmGABO9t130ttve+px4yTHsZfHJ44elbp08XT8TZtKw4bZzQQAABBAaI4BIBvXlQYM8NSdOhWSm6tDhkjr1plxZKQ0b54UHm43EwAAQAChOQaAbD74QPrySzMOC5NefNFuHp9YvVqaMMFTx8WxOjUAAMBJaI4B4IS0NGnQIE8dEyPVr28vj880aWIW4oqIkNq2lXr1sp0IAAAg4ITZDgAAgWLOHGnTJjMuXVp67jm7eXwmJETq21e68UapXLlC8AA1AACA79EcA4Ckw4el55/31IMHSxUqWIvjH40a2U4AAAAQsJhWDQCSxo6Vdu824+rVpdhYu3nO2b59Zp44AAAA8oXmGECRt327NH68px492izoHLQyMqR77pGuuUbavNl2GgAAgKDAtGoARd7QoVJKihlffrn04IN285yzSZOk5cvN+IorpD/+KIRzxAEAAHyLO8cAirS1a6XXXvPU48aZ9auC1tq10jPPeOrYWBpjAACAfAjmXwEB4JwNGiS5rhm3aye1bm03zzk5elTq0kU6dszUTZtKw4bZzQQAABAkaI4BFFlLl0off2zGISFmUa6gNmSItG6dGUdGSvPmSeHhdjMBAAAECZpjAEVSero0cKCnfuSRIN/paPlyacIETx0XJzVsaC8PAABAkKE5BlAkvfGGeTxXkkqUkEaMsJvnnBw4IHXt6pkf3rat1KuX3UwAAABBhuYYQJGTnGxmIGcaOFCqUsVennPWu7e0dasZly8vvfKK5Dh2MwEAAAQZmmMARc7EiWZvY0mqXFkaMMBunnPywQfS/PmeevbsIO/0AQAA7KA5BlCk7N4t/etfnnr4cCkqyl6ec9amjdS/v7lT/PDDUseOthMBAAAEpTDbAQCgIA0fLh0+bMYXX2wW4gpqJUpI48dLd99tfiAAAACcFZpjAEXGpk3SrFmeeuxYKayw/C141VW2EwAAAAQ1plUDKDKeesps4SRJrVpJ7drZzXPWjh71rEwNAAAAn6A5BlAkrFghLVrkqePignhB58xni//6y3YSAACAQqOwTCgEgDxlZEhPPumpu3SRmja1l+ecLFwo/fvfZvzll9LGjVLFinYzAQAAFALcOQZQ6L3zjvTdd2YcESGNGmU3z1nbs0eKifHUd95JYwwAAOAjNMcACrXUVOmZZzx1375SzZr28pyTPn1MgyxJF1wgTZhgNw8AAEAh4pPm2HGcux3HmeI4zgrHcQ45juM6jjPvLL+rmuM4rziOs8NxnFTHcRIdx5nkOM55vsgKoGiZNk1KTDTj8uW9G+Wgkn06tSTFx0tly9rLAwAAUMj46pnjIZIuk3RE0jZJDc/mSxzHqStppaSKkhZJ+kVSc0l9JbV1HOca13X3+SQxgEJv/37vKdTPPRek/eTevd7Tqbt1k2691V4eAACAQshX06qfkHShpNKSYk7z3lOZLtMYx7qu28F13add120taaKkBpJGn3NSAEXG6NFSUpIZ16sn9expN89Ze/xxplMDAAD4mU+aY9d1l7uu+6vrnv3Gm47j1JF0s6RESdNOOj1M0t+SHnIcp+RZBwVQZCQkSFOneuoXX5SKFbOX56wxnRoAAKBABNKCXK1PvC51XTcj+wnXdQ9L+lpSCUktCjoYgOAzeLB07JgZX3WV1KmT3TxnhenUAAAABSaQmuMGJ14353H+1xOvF57uixzH+T63PzrLZ6EBBJdVq6S33/bU48ZJjmMvz1lzHKlVKzNmOjUAAIBf+WpBLl8oc+L1YB7nM48znxBAnlxXGjDAU3fqJF19tb0856R8eTOl+p57pNKlmU4NAADgR4HUHJ9O5n2f0z7X7Lpu01y/wNw9buLLUAACy+LF0ooVZhwWZp41Dnp33207AQAAQKEXSNOqM+8Ml8njfOmT3gcAXtLSpKee8tQxMVL9+vbyAAAAIHgEUnO86cRrXs8UZ/6Km9czyQCKuDlzpE0n/iYpXdrsaxx0Fi6U+vSRjhyxnQQAAKBICaTmePmJ15sdx/HK5ThOKUnXSEqR9G1BBwMQ+A4dkoYN89SDB0sVKtjLc1YyV6eeOlW69FJp3TrbiQAAAIqMAm+OHccJdxynoeM4dbMfd133d0lLJdWS1Pukjw2XVFLSXNd1/y6QoACCytix0p49Zly9uhQbazfPWXn8cc8PkZpqfhAAAAAUCJ8syOU4TgdJHU6UlU+8XuU4zmsnxntd181cP/YCSRsl/SnTCGfXS9JKSZMdx2lz4n1XSmolM536WV/kBVC4bN/uvcvRCy9IkZH28pyVhQvNytSZ4uNZnRoAAKAA+Wq16saSup50rM6JP5JphAfoNFzX/d1xnCskjZDUVlI7STslTZY03HXd/T7KC6AQGTpUSkkx4yZNpM6d7eY5Y3v3Sr16eeqHH5batbMWBwAAoCjySXPsuu7zkp7P53sT5dmWKbfzWyV180UuAIXfTz9Jr73mqePipJBAWk0hP/r0kXbvNuOqVaWJE+3mAQAAKIKC7VdIAPAyaJDkntj9vF07qXVru3nO2LvvSm+/7amZTg0AAGAFzTGAoLV0qfkjmbvFY8fazXPGMlenzsR0agAAAGtojgEEpfR0aeBAT929u9Sokb08Z4Xp1AAAAAGD5hhAUJo7V1q71oxLlpSGD7eb54wlJ0vbtnlqplMDAABY5avVqgGgwCQnS0OGeOoBA6QqVezlOSslSkhffCFNmSJt3sx0agAAAMtojgEEnYkTpR07zLhyZdMcB6WQEKlvX9spAAAAIKZVAwgyu3ZJY8Z46hEjpKgoe3kAAABQONAcAwgqw4dLR46Y8cUXS92CaVf0vXvNbe/jx20nAQAAwElojgEEjV9+kWbP9tRjx0phwfRwSJ8+Uv/+0jXXSBs32k4DAACAbGiOAQSNp582WzhJUuvWQbaG1bvvSm+/bcarVkl//GE3DwAAALzQHAMICl9+KS1a5Knj4iTHsZfnjOzdK8XEeOquXaX27e3lAQAAQA40xwACXkaG94rUXbpITZrYy3PGYmOl3bvNuGpVadIku3kAAACQA80xgID3zjvSd9+ZcUSENGqU3Txn5L33pLfe8tSzZ0tly9rLAwAAgFzRHAMIaKmp0jPPeOp+/aSaNe3lOSP79kk9e3pqplMDAAAELJpjAAFt2jQpMdGMy5f3bpQDXp8+3tOpJ060mwcAAAB5ojkGELD275dGjvTUzz0nlSljL88ZyW069Xnn2csDAACAU6I5BhCwRo+WDhww43r1vGcoBzTXlV56yVMznRoAACDg0RwDCEgJCdLUqZ56zBipWDF7ec6I40hLlpgltqtXZzo1AABAEKA5BhCQBg+Wjh0z46uvljp2tJvnjEVGms2Yf/6Z6dQAAABBgOYYQMBZtUp6+21PHRdnbsYGpago2wkAAACQDzTHAAKK65rZyJk6dTJ3joPCihXmBwAAAEDQoTkGEFAWLzY9piSFhZlnjYPCe+9J110n3XWX9NdfttMAAADgDNEcAwgYaWnSU0956l69zCrVAW/fPikmxowXLZJGjLCbBwAAAGeM5hhAwIiPlzZtMuPSpaWhQ+3mybc+faRdu8y4alWzBxUAAACCCs0xgIBw6JD0/POeevBgqUIFa3Hy7733pLfe8tSzZ7M6NQAAQBCiOQYQEMaOlfbsMeMaNaTYWLt58iX7dGpJ+uc/pfbt7eUBAADAWaM5BmDdtm3ShAmeevRos01wwIuN9Z5OPWmS3TwAAAA4azTHAKwbOlRKSTHjJk2kzp3t5smX99+X5s/31EynBgAACGo0xwCs+ukn6fXXPXVcnBQS6H8z7dsn9ezpqZlODQAAEPQC/VdQAIXcoEGS65px+/ZS69Z28+TLkCFMpwYAAChkaI4BWPPxx9LSpWYcEmIW5QoKI0dK999vxkynBgAAKBRojgFYkZ4uDRzoqbt3ly6+2F6eM1Khgtm+adUqplMDAAAUEjTHAKyYO1dat86MS5aUhg+3m+esNGtmOwEAAAB8hOYYQIFLTjaP7WYaOFCqUsVennw5cMB2AgAAAPgRzTGAAjdhgrRjhxlXriw9+aTdPKe1b5+Z8927t3TkiO00AAAA8AOaYwAFatcu6V//8tQjRkhRUfby5EtsrLRzpzR9utS2rWd5bQAAABQaNMcACtTw4Z6br40aSd262c1zWu+/L82f76mfekpyHHt5AAAA4Bc0xwAKzC+/mJ2PMo0dK4WF2ctzWvv2ST17euqHHpJuv91eHgAAAPgNzTGAAvPUU2YLJ0lq3Vq69Va7eU6rb18zD1wyK4a99JLdPAAAAPAbmmMABeLLL6XFiz11XFyAz05etEh6801PPWuWdN559vIAAADAr2iOAfhdRoY0YICnfughqUkTe3lOa98+6bHHPDXTqQEAAAo9mmMAfvfOO9J335lxRIQ0apTdPKfFdGoAAIAih+YYgF+lpkrPPOOp+/WTatSwl+e0mE4NAABQJNEcA/CrqVOlxEQzLl/eu1EOSI0aSS1bmjHTqQEAAIqMQN5EBUCQ27/fewr1sGFSmTL28uRLvXrS55+bO8b33Wc7DQAAAAoIzTEAvxk9WjpwwIzr1fNe4yqghYRIMTG2UwAAAKAAMa0agF/8/rs0ZYqnHjNGKlbMXp5Tcl3bCQAAAGAZzTEAn3NdqVcvKS3N1FdfLXXsaDfTKT36qPTii9Lx47aTAAAAwBKmVQPwufnzpaVLzdhxpEmTzGtAWrRIeuUVM373XfO8ccmSViMBAACg4HHnGIBP7dtntmvKFBsrNWtmL88p7d8v9ezpqRs2pDEGAAAoomiOAfjUgAHS3r1mXL26NHKk3TynFBsr/fWXGVeuLL30kt08AAAAsIbmGIDPLFsmvfaap542TSpVylqcU1u0SHrzTU89e7ZUrpy9PAAAALCK5hiAT6SkeG/VdM890u2328tzSidPp+7SJYDDAgAAoCDQHAPwiVGjpN9+M+MyZQJ8hnLfvkynBgAAgBeaYwDnbN06aexYTz12rFSlir08p7R4sTRvnqeeNYvp1AAAAKA5BnBu0tOl6GjPFsHXXmu2DQ5I+/d7z/3u0kW64w57eQAAABAwaI4BnJOZM6X//c+Mw8PNulYhgfo3y65dZs63xHRqAACAM5CSkqJDhw7p2LFjtqP4TZjtAACC17Zt0jPPeOrBg6WLLrKX57Quukj64Qdp2DBzi5vp1AAAFBrp6elZf1zXVYkSJbzOp6SkaM+ePV7vy+tPyZIldemll3p9PjExUWvXrs3X52vXrq22bdt6fX758uVasWJFvj5//fXXq3Pnzl6fnzZtmpYtW6b09HQdP378lJ/v2bOnunXr5vX5bt266Ysvvsj1/RkZGV717Nmz9c9//tPr882bN9f69ev1xhtvqEuXLuf6/10BieYYwFnr00c6fNiMGzTwbpQDVmSk9wPSAADAmtTUVB06dEiHDx/2ek1NTVXHjh293vvzzz9rxIgRub7/8OHDXnc0q1evri1btnh9fsmSJerUqVO+cl155ZX69ttvvY59+OGH6tOnT74+36FDhxzN8aeffqoXXnghX58PDQ3N0RyvXr1a7777br4+f9ttt+U4tnPnTiUkJOTr82lpablmksw/QhRWNMcAzsp770nvv++pZ8+WIiLs5QEAAAUjr4b28OHDXuNBgwZ53b3dvn27br31Vq/35daESVJ4eLhSU1PlOE7WsUOHDunf//53vjLm1sBlNnd8/uw+X7JkSUVFRZ3R9wQbmmMAZ+zgQenxxz11dLR03XX28pzSkiXS3r1m8a1s/4EFAKAoSkxM1IEDB3JtbA8dOuQ1fvHFF1W3bt2sz6anp6tEiRL5fub00Ucf9WqOw8LCtG7dunx9Ni0tTampqSpevHjWsVKlSp32c2FhYQoNDVVELv9iX7JkSVWrVk2hoaGn/XNRLs+J1a5dW7fddluenwkJCckaX3bZZTk+f8MNN8h13Xxd/+KLL87x+Z49e6pt27YKDQ3N+jnz+lOtWrUcn589e7aOHj2aa96T/xQrVizH57/++uvT/r9/sHNc17WdocA4jvN9kyZNmnz//fe2owBBrXdvafp0M65USdq4UTrvPLuZcrV/v9SokdnT+PbbpTlzpIoVbacCAOC0XNeV67oKOWmVy6+++kpbt27N9U7tya/jxo3TzTff7PX5mjVr5phunJcvv/xSLVu29DpWokQJpaSk5OvzP//8s1eTmZKSkuM54LCwMJUuXVqlS5dWqVKlVKpUqazxK6+8oqioqKz3Hj58WB9++GGO92W+Fi9e3OtOM4qmpk2bas2aNWtc1216pp/lzjGAM7JypTRjhqeePDlAG2NJ6tfPNMaS9N13Uhh/5QEACobrukpLS8txB+6DDz7Q6tWr82xosze9Y8aMUf/+/b0+P2TIEH3xxRf5yvBX5n8Ds8nP3ddMhzMXFsmmdOnSSktLy7Ohzf563km/IBQvXlw//PCD1/siIiLy3dCWKlVKDzzwQL7zA2eK3xQB5NuxY1KPHlLmhJP27aV77rGbKU8ffCC98YannjWL1akBAD7juq727dunxMREJSQkKDExMcf4ySef1MiRI70+99577+nVV1/N1zUOHTqU41jp0qXznTG35rZhw4YKCQnJtZk9+bVx48Y5Pv/nn3+qWLFiZ3WH1nGcXL8TCBQ0xwDyLS5O2rDBjEuWlKZNC9DHePfvN118pgcflO64w14eAEDQcV03xzOvkvTyyy9r0qRJSkxM1JEjR075HbmtDHwmd25z+/6WLVsqMjLytM1tqVKlVKNGjRyfX7BgQb6vn5vcnuUFCguaYwD5snmzlP0fv0eNkmrWtJfnlLJPp65c2cz9BgDgJAcPHvS603vynd+mTZtq2bJlXp9JSUnR+vXr8/X9u3fvznGsbdu2Ou+88/JsaLMfy60RHThw4Nn9sABOi+YYwGm5rvTYY1JqqqmvuMLscRyQmE4NADghOTk5xwJQ33zzjXr16pW1avOpJCYm5jhWq1atrHFUVJRq166tWrVqZb1m/qldu7bKli2b4/O33nqrbr311rP6eQD4F80xgNN67TXp88/NODTU7GkckFvcMZ0aAIqUv//+O8+7vgkJCUpOTlZycrLX87HFihXTjz/+mK/v379/vzIyMrxWjL722mu1evVq1apVS+XKlWN1ZKAQoTkGcEq7d0tPPump+/eXLr/cXp5Tyj6dulIlplMDQJBLSUlReHi4wrLtNnDw4EHddNNNSkxM1J49e077Hbt371alSpWy6tq1a2eNIyMjc9ztzV5XqFAhR/NbtmxZNW16xjvEAAgCNMcATumJJ6SkJDOuXVsaNsxunjzt2SMtXeqpmU4NAAEvNTVVW7ZsyXO157/++ktr1qzR5dn+VbZUqVJau3atUjOf9TmFYsWKaceOHV7N8Xnnnadvv/1WtWrVUsWKFbnzCyALzTGAPP33v9L8+Z56xgyzSnVAOv98s5R2nz5SSIh05522EwFAkZeWlqbjx48rMjLS6/h9992nr776Sjt27DjtdyQmJno1xyEhIapVq5Y2bdqk8PBw1ahRw+uOb/Zx5cqVvaZES2Y7oSuvvNI3PyCAQoXmGECu/v5bionx1A8+KN1yi708+VK+vOnm09JsJwGAIuH48ePatm1bnis+b9++XZMnT1bv3r29Prdnz558NcahoaHau3dvjuMLFixQ2bJlVaVKFYUG5CIYAIIRzTGAXD3/vJS5SGe5ctKECTbTnKHwcNsJAKBQSE9PV3Jyco69eUeNGqU5c+Zo27ZtSk9PP+V35LbXb+aKzyEhIapWrVqOO76Z4wsuuMDreeNMl1xyydn/UACQB5pjADmsWePdDI8fL1WsaC9PnpKSpB9/lFq1sp0EAIJSRkaGdu7cmetKz4mJidqyZYvuvfdevfnmm16fS0lJ0Z9//nna73ccJ9ftkp577jkNGTJE1atXVzj/oAkgQNAcA/By/LjZDSkjw9StWkldu9rNlKd+/aS5c83877Fjpago24kAICi89dZbGjVqlH777TcdO3bslO/Nba/f7Cs+V6lSJdfnfWvXrq3q1asrIiIix+ez7xUMAIGC5hiAlylTpO+/N+OICLPoc0Au5PnBB6YxlsxKYe3aSbfdZjcTAASYQ4cO6ZdfflHz5s29joeGhurnn3/O13ccOXIkx7G77rpLLVu2VI0aNXIstgUAwYrmGECWxERpyBBP/dxzUv361uLkLSlJeuwxT925M40xAMhMd/7mm2/02WefadmyZfruu+8UOnlB8gAAIABJREFUGRmp/fv3e01fbpXtcZQKFSqccq/fEiVK5LhO+fLlVb58+QL5mQCgoNAcA5Akua7Uq5eUnGzqSy6RBgywmylP/fpJO3eacaVK0uTJdvMAgCVpaWlavXp1VjO8cuXKHPv/HjlyRKtXr9ZVV12Vdez888/XN998o0aNGuVYbAsAiiqaYwCSpHfekZYsMWPHkWbPlooVs5spVx9+6JlOLUkzZ5otnACgiLn33nu1ZMmSXKc9Z3IcR40bN9bff/+d41yLFi38GQ8Agg7NMQAlJUmxsZ66Vy8p2w2GwJGUZFYLy9S5s9Shg708AOBnrutq8+bNCg8PV506dbzOHThwINfGuEGDBmrTpo1at26tG264genPAJBPNMcANGiQtHu3GV9wgfTCC3bz5Inp1ACKgC1btmRNk162bJl27Nih3r17a+rUqV7va9OmjT755BPVqFEjqxlu1aqVLrjgAkvJASC40RwDRdwXX0hz5njqqVOl0qXt5ckT06kBFFK7d+/OaoSXLVum33//Pcd7li1bluPYww8/rLvvvlt16tSRE5DbCgBAcKE5Boqwo0e9F32+664AnaWcni717++pmU4NoBBYtWqVunfvrvXr15/yfWXKlFGDBg107NgxFcu2GESlSpVUqVIlf8cEgCKD5hgowl58Udq0yYxLlTJ7HAek0FCzWtgjj5jATKcGEESSk5O1cuVKtW7dWiEhIVnHK1eunGtjHBkZqZYtW2ZNlb788ssVGhpakJEBoEiiOQaKqJ9/Ns1xpjFjzPPGAatuXWn5cikhgenUAALasWPHtGrVKi1btkyfffaZvvnmG6WlpemHH35Q48aNs95Xo0YN1atXT3/++adatGih1q1bq02bNmrevLkiIiIs/gQAUDTRHANFUEaGWfQ5Lc3UV10l9expN1O+hISYJhkAAkh6erp+/PHHrGZ4xYoVSs7cND6bZcuWeTXHkrR48WLVqFFDJUuWLKi4AIA80BwDRVB8vPT112YcFmb2NM420y9wbN8e4LezARR1Q4cO1dSpU3XgwIFTvq9Ro0aKiorKcfyiiy7yVzQAwBmiOQaKmB07zNZNmZ56SrrkEnt58vTBB9Ldd0vPPy8NHGi6eACwJCEhQXv27FHz5s29joeGhubaGNepU8dreyUWzgKAwMdvm0AR07evdOiQGdevLw0ZYjdPrpKSzDLax45JgwdLycnSyJG2UwEoQnbu3Knly5dn7TecmJioJk2a6Pvvv/d6X+vWrTV8+HBVqVLFqxmuVauWneAAgLNGcwwUIYsXSwsWeOpZs6Tixe3lyVO/ftLOnWZcqZKpAcCP9u/fry+++CKrGd64cWOO9/zwww/av3+/ypUrl3WsRYsW2rhxoxo0aMBewwAQ5GiOgSLi8GGpd29P3a2b1KqVvTx5+vBDae5cTz1zJqtTA/CbpKQk3Xjjjfrhhx/kum6e7ytZsqSuu+66HM1xsWLF1LBhw4KICgDwM5pjoIgYMkTats2Mzz9fiouzmydXSUlmGe1MDzwgdehgLw+AQiM1NVXffvutGjRooMqVK2cdL1u2rHbt2pWjMS5WrJiuvvrqrO2VmjVrpvDw8IKODQAoQDTHQBGwapU0ZYqnnjQpQG/GPvGEZzp1xYreoQHgDBw/flxr1qzRsmXLtGzZMn311VdKSUnR9OnTFRMTk/U+x3HUunVrvfnmm2rWrFlWM3z11VcrMjLS4k8AAChoNMdAIZeWJkVHS5k3RW65xdyQDTgffSS9/rqnZjo1gDOQkZGhDRs2ZDXDn3/+uQ5lrj6YzbJly7yaY0l64YUXNGXKFJUpU6ag4gIAAhDNMVDITZggrV1rxpGR0owZUsCtGZPbdOq77rKXB0BQefPNN/XEE09oz549p3xf/fr1Vbdu3RzHq1Wr5q9oAIAgQnMMFGK//262Cc40YoRUu7a1OHl78kmzAbNkplNPnmw3D4CAtG3bNq1du1bt2rXzOl6hQoVcG+MLLrhAbdq0UZs2bdSqVStVr169oKICAIIQzTFQSLmu1LOndPSoqRs3DuAdkR57TPrmG+mXX8x06goVbCcCEAD27Nmjzz//XMuWLdNnn32mX3/9VWFhYUpKSlJUVFTW+6699lqFhYWpbNmyatWqVdZ+w/Xq1WN7JQBAvtEcA4XUvHnSp5+acUiIFB8vhQXq/+KvvFL64Qfp3XeZTg0UYa7r6vvvv9dbb72lzz77TD/99FOO9xw/flxfffWV2rZtm3WsZMmS2rhxo+rUqaOQkJCCjAwAKEQC9VdlAOdg716z8HOmvn2lK66wlydfiheXOne2nQKABa7ratasWZo1a5Z+/PHHPN9XvHhxXXPNNbluqVSvXj1/RgQAFAE0x0Ah9OST0r59ZlyjhnnWOOBkZJhb2gCKPMdxtGDBghyNcVhYmJo3b67WrVurdevWuuqqq1S8eHFLKQEAhR3NMVDIfPqpNHeup54xQ8r2aF5gSEqSWraUBg2SHnooAJfPBuAv+/bt06+//qoWLVp4HY+OjtZnn32m4sWL695779V9992nli1bqlSpUpaSAgCKGppjoBBJTjZrW2W67z7ppEVdA8MTT0gbNkhdu0pffCG9/LLtRAD8yHVdff7554qPj9fChQtVqVIlJSQkKDQ0NOs9HTp00PTp0/XAAw+obNmyFtMCAIoqmmOgEBk5UvrjDzMuW1aaNMlunlx99JH0+uue+rbb7GUB4Fe7du3Sa6+9pjlz5ui3337LOr5161Z9/PHHXlsyRUREKCYmxkZMAAAk0RwDhcbatVJcnKeOi5MqV7aXJ1dJSVKPHp76gQdYnRooZNLT0/XJJ58oPj5eixcv1vHjx3O8p1mzZgoL2OXzAQBFFf9lAgqB9HQpOtq8StJ110mPPGI3U66eeELascOMK1aUJk+2mweAT8XHx2v06NH6888/c5wrU6aMunTpoujoaF122WUW0gEAcGo0x0AhMH26tGqVGRcrJs2aFYALQZ88nXrmTKlCBXt5APhcUlJSjsb4mmuuUXR0tO655x6VKFHCUjIAAE4v0H59BnCGtm6VBg/21M8+KzVsaC9Prk6eTn3//UynBoJYYmKiZs6cmeN4165dFRYWpvLly+uJJ57Qhg0b9NVXX6lr1640xgCAgMedYyCIua7Uu7d05IipL7pIeuopu5lydfJ06ilT7OYBcMaOHTumxYsXKz4+Xp988olc11XLli3VqFGjrPdUqlRJy5cvV7NmzRQREWExLQAAZ447x0AQe/dd6YMPPPXs2VLA/T568nTqGTOYTg0Ekc2bN2vQoEGqXr267rnnHi1dulSu60oyzxif7Nprr6UxBgAEJe4cA0HqwAGpTx9P/dhj0rXX2suTp5AQqVIladcus/Fyx462EwE4jaNHj2rhwoWKj4/XF198keO84zi65ZZbdPPNN1tIBwCAf9AcA0HqmWeknTvNuHJlacwYu3nydOut0oYN0tCh0ogRttMAOI2FCxeqR48e2r9/f45z1apV0yOPPKJHHnlENWvWtJAOAAD/oTkGgtBXX5nFnjNNmSKVLWsvz2mVL2+W1AYQ8OrWrevVGIeGhqp9+/bq0aOH2rZtq9DQUIvpAADwH545BoJMaqr3ws+33y516mQvT65SUmwnAHAaa9asUa9evbR3716v440bN1azZs1Uq1YtjRo1Slu2bNGiRYvUvn17GmMAQKHGnWMgyIwdK23caMZRUdK0aZLj2M3kZcMG6aabTDC2awICyqFDhzR//nzFx8drzZo1kqR69eqpf//+Xu9btGiRKlWqpJCA2zAdAAD/4b96QBDZtEkaNcpTjx4tVa9uL08OO3dK7dqZ106dpDlzbCcCijzXdfXtt9+qe/fuqlKlimJiYrIaY8msOJ25+nSmKlWq0BgDAIoc7hwDQSIjw0ynPnbM1M2amT2OA8aRI1L79tKWLaYuUUJq2tRuJqAI279/v+bNm6f4+HitX78+x/mIiAjdfffdio6OtpAOAIDAQ3MMBIlXX5W+/NKMQ0Ol+HjzGhCOH5fuvVf64QdTh4ZK//mPdPnldnMBRdSaNWt09dVXKzU1Nce5Sy65RNHR0erSpYvKlStnIR0AAIGJ5hgIArt2SQMGeOoBA6TLLrOXx4vrSr16SUuWeI7NmGG2cAJgxaWXXqry5ctrx44dkqQSJUro/vvvV3R0tK688ko5AbVQAQAAgcFnDxQ5jlPNcZxXHMfZ4ThOquM4iY7jTHIc57wz+I5Ex3HcPP785ausQLDp1086cMCM69SRnnvObh4vL75obmNnevZZiWmagN9lZGTok08+0b333qv333/f61xYWJi6deumJk2aaObMmdq5c6defvlltWjRgsYYAIA8+OTOseM4dSWtlFRR0iJJv0hqLqmvpLaO41zjuu6+fH7dQUmTcjl+xBdZgWDzf/8nvf22p5450zzOGxDmzTPNcKaHHpJGjrSXBygCduzYoVdffVUvv/yyEhISJEkHDx5Uhw4dvN43bNgwjcq+gh8AADglX02rni7TGMe6rjsl86DjOBMkPSFptKSe+fyuA67rPu+jXEBQO3LEzFjO9NBDZpekgLB8ufTII566VSuzOjV3pQCfS09P15IlSxQfH6+PPvpI6enpXuc/+eQT7dixQ1WrVs06Fh4eXtAxAQAIauc8rdpxnDqSbpaUKGnaSaeHSfpb0kOO45Q812sBRc2wYdKff5px+fLS+PF283j5+WcpLc2MGzWS3n1XKlbMbiagkPnzzz81bNgw1apVS7fffrsWL17s1Rifd955io2N1dq1a70aYwAAcOZ8cee49YnXpa7rZmQ/4bruYcdxvpZpnltI+iwf3xfhOE4XSTVkGuu1kr50XTf91B8DCpfvv5cmZXvAYMIE6fzz7eXJoXdvqWJF6emnzdzvsmVtJwIKlb///lsXX3yxkpOTc5y7/vrrFR0drY4dOyoyMtJCOgAACh9fNMcNTrxuzuP8rzLN8YXKX3NcWdIbJx1LcBynm+u6X+QnkOM43+dxqmF+Pg/Ydvy4WdMq48Q/N7VpY6ZUB5x77pHuvJM7xoAPpKenKzTb/mwlS5ZUx44dNW/ePEnS+eefr65du+rRRx9VgwYN8voaAABwlnzRHJc58Xowj/OZx/NzW+lVSSskbZB0WFIdSY9L6iFpieM4V7mu+9M5ZAWCwksvebYMLl7cLMJl/VHetDTTtZ98l4rGGDhrqampeu+99xQfH6/69etr5syZXud79OihXbt2KTo6WnfeeaeK8b83AAD8piD2Oc78ld493Rtd1x1+0qH1kno6jnNE0pOSnpd0Vz6+p2muQcwd5San+zxgU0KC91ZNw4ZJ9erZyyPJ7GUcEyNt3CgtWiRVqGA5EBDcNm7cqPj4eM2dO1f79pnNHFatWqVx48YpKioq630tW7bU0qVLbcUEAKBI8cU+x5l3hsvkcb70Se87G5n/lH7dOXwHEPBc16xOnfmI4T/+IT35pN1MkqTRo6WXX5ZWrpSuvlrau9d2IiDoJCcna+7cuWrZsqUuvvhiTZw4Masxzjz/1VdfWUwIAEDR5os7x5tOvF6Yx/n6J17zeiY5P3afeGXFaxRqb78t/fe/Zuw4Uny8ZH03lrlzpaFDPfVVV5mlswHky08//aT4+HjNmzdPBw/m/HfimjVrqnv37urWrZuqVatmISEAAJB80xwvP/F6s+M4IdlXrHYcp5SkaySlSPr2HK5x1YnXP87hO4CAtn+/1Levp378cenKK+3lkSR99pnUvbunbtPGdOzWH4AGgkefPn20YsUKr2NhYWG644471KNHD914441eC3EBAAA7znlateu6v0taKqmWpN4nnR4uc7d3ruu6f0uS4zjhjuM0dBynbvY3Oo7TyHGccid/v+M4NSVNPVHOO9e8QKAaOFDas8eMq1UzM5mtWr9e6tjRLMIlSZdcIi1cyAJcQB5c19Xu3btzHI+Ojs4a16tXT2PGjNG2bdu0cOFC3XLLLTTGAAAECF8tyNVL0kpJkx3HaSNpo6QrJbWSmU79bLb3XnDi/J8yDXWmeyQ97TjOckkJMqtV15XUXlJxSf8naZyP8gIBZfly6ZVXPPW0aVKpUvbyaPt26dZbpUOHTF21qtnLuExeSwsARdeBAwc0b948xcfH6/Dhw/rtt98UEuL5t+e7775by5cv10MPPaTrr7/e6xwAAAgcPmmOXdf93XGcKySNkNRWUjtJOyVNljTcdd39+fia5TJ7Jl8uM426pKQDkr6S2ff4Ddd1T7viNRBsjh6VHnvMU3fqJN1xh708OnRIat9e2rbN1KVKmca4enWLoYDA4rquvv76a8XHx+s///mPUlJSss4tW7ZMN954Y1YdGRmpV7L/6xcAAAhIPtvKyXXdrZK65eN9ifJs75T9+BeSvvBVHiBYjB4t/fqrGZcuLU2ebDFMWpp0zz3STye2Ew8LkxYskC67zGIoIHDs3btXc+fO1Zw5c7Rx48Yc5yMjI/Xrr796NccAACA4FMQ+xwDysH69NGaMp/7Xv8wMZmsOH5YOHPDUs2dLN99sLw8QINatW6dx48bp7bff1rFjx3Kcb9y4saKjo9W5c2eVLVvWQkIAAHCuaI4BSzIypB49POtdXX21qa0qV05atkzq3Fm6/HKp22kngwBFwptvvqm5c+d6HYuKitIDDzygHj16qGnTpnJYxR0AgKBGcwxYMmuW9M03Zhwebm7SBsQ6PSVLSu++GyBhgILnum6ORjc2NlYTJkxQWlqamjdvrujoaN1///2KioqylBIAAPgav/0CFmzfLj39tKd++mmpUSNLYfbnsl5eaCh7GaPIOXLkiCZPnqwLL7xQiYmJXueqVq2ql156Sd9++63+97//6dFHH6UxBgCgkKE5BiyIjfXsknThhdLgwZaCrFsn1a0rTZliKQBg365duzRkyBDVqFFDffv21W+//aaJEyfmeF9MTIyuvPJKCwkBAEBBoDkGCtj775tZy5lmz5aKF7cQZNs2s5fxgQOmW3/hBQshAHs2bdqkHj16qGbNmho9erSSkpKyzi1atEjHMxcEAAAARQLNMVCADh2SHn/cU3fvLl1/vaUg7dub+d2S2UPq9tstBAEK3tdff60777xTDRs2VHx8vFJTU7PO1alTR9OmTdPPP/+ssDCW5QAAoCjhv/xAAXr2WU8/WrGiNHashRBpadLdd0tr15o6LExauFD6xz8shAEKzr59+3T77bfrm8yV8LJp3ry5Bg4cqLvuukuhoaEW0gEAANtojoEC8u230rRpnvqll8zOSQXKdc1+UZ984jk2Z450440FHAQoeOXKlVNycrLXsdtuu00DBw5Uy5Yt2YoJAIAijmnVQAFIS5Oio01vKplHfe+7z0KQESOk117z1MOHS127WggC+Ne+ffv0008/eR1zHEcDBw5UeHi4HnnkEW3YsEEffPCBrrvuOhpjAADAnWOgIIwbJ61fb8YlSkjTp1vYKem116Tnn/fU3bpJQ4cWcAjAvxISEjRhwgS98sorqlOnjtauXevV+N57771q1aqVqlatajElAAAIRNw5Bvzs11/NDdpMI0dKtWoVcIhPPjG3rjPddJM0axZ7GaPQWL16te677z7Vq1dPU6dOVXJystavX6+PP/7Y633h4eE0xgAAIFfcOQb8yHWlnj2lzMVwmzY1uyYVuEOHpNBQ6fhx6bLLpAULpPBwC0EA33FdV0uWLFFcXJw+//zzHOcvu+wyVpwGAAD5xm8NgB/NnSstW2bGoaFSfLxZHLrAdeokVapk9pH66COzdRMQpI4dO6b58+dr3Lhx2rBhQ47zN954owYNGqQbb7yRZ4kBAEC+0RwDfrJnj9S/v6d+4gnp8svt5dG110pr1kghPE2B4DZy5EiNGjXK61hoaKjuu+8+DRgwQJdb/R8aAAAIVvyWDPhJ//7S/v1mXKuW91pYfnfsmOfi2dEYoxCIjo7O2ou4ZMmS6tevn37//Xe9+eabNMYAAOCs8Zsy4AdLl0rz5nnqGTOkkiUL6OKZexm3aCH9/nsBXRTwvXXr1qlbt27atm2b1/EaNWqob9++euGFF7R161ZNnDhRNWvWtJQSAAAUFkyrBnwsOdkswpWpc2epbdsCDDB8uPT662Z81VXS999L1asXYADg7Lmuq+XLlysuLk7//e9/JUkVKlRQXFyc1/vGjx9vIx4AACjEuHMM+Njw4VJCghmfd540cWIBXvzVV733jbrjDqlatQIMAJyd48eP6+2339YVV1yhNm3aZDXGkjRr1iwdOXLEYjoAAFAU0BwDPvTjj1L2G1rjx0sVKxbQxZcuNdOpM91yi5nPzWq9CGBHjhzR5MmTVb9+fT3wwANas2ZN1jnHcdSpUyd98sknioqKspgSAAAUBUyrBnwkPV2KjjavknTDDdLDDxfQxX/80WzXdPy4qRs3lv7zH/YyRsA6evSoRo0apenTpyspKcnrXPHixdWtWzf1799f9erVs5QQAAAUNTTHgI9MnSqtXm3GERHSrFkFdNN261apfXspc9pp9epmL+NSpQrg4sDZKVasmN59912vxrh8+fJ6/PHH1bt3b51//vkW0wEAgKKIadWAD2zZIj37rKceOlS68MICuPDBg1K7dtKOHaYuU0b6v/+TqlYtgIsD+XfgwAGvOiQkRAMHDpQk1alTR1OnTtWWLVv0/PPP0xgDAAAruHMMnCPXlXr1kv7+29SNGkknfuf3r2PHzFTq9etNHR4uvfuudMklBXBx4PQyMjK0aNEixcXFKTU1VatXr5aTbTpF586dVbp0aXXo0CFr32IAAABbaI6Bc7RggZnFLJlp1PHxUrFiBXDh48elEiU89SuvSK1bF8CFgVM7evSo5s6dq/Hjx2vz5s1Zx5cvX67W2f5vNCIiQp06dbIREQAAIAeaY+AcJCVJffp46pgYs7VwgShRQnrvPSk21kyj7tKlgC4M5G7fvn2aMWOGpkyZot27d3udCw8P17p167yaYwAAgEBCcwycg6eflnbtMuOqVaUXXijgAKGhZiUwwKKEhARNnDhRL7/8spKTk73OlSlTRj179lRsbKyq8iw8AAAIYDTHwFlasUKaPdtTT51q1sPyqy1bpBo1vI+xjzEsevXVV/Xoo48qIyPD63j16tXVr18/RUdHqxQrpwMAgCDAatXAWUhNlXr08NQdOkh33eXni/7wg1nta8AA6aRGBLDl+uuv96ovvfRSvfHGG/r999/Vv39/GmMAABA0uHMMnIUxY6RffjHjUqWkKVP8fMEtWzx7GY8fL6WlSS+95OeLAh7Hjh3TW2+9pVtuuUWVK1fOOl6nTh116tRJSUlJGjhwoG666SavFakBAACCBc0xcIY2bvR+tvjFF6Vq1fx4wQMHzF7GO3eaukwZ79vWgB8dPHhQs2fP1ksvvaTt27dr8ODBGj16tNd75s2bp2IFskQ7AACA/zCtGjgDGRnSY4+ZLYYlqUULqWdPP17w2DGpY0dpwwZTh4ebFaobNfLjRQFp27ZtGjhwoKpXr65BgwZp+/btkqQZM2boyJEjXu+lMQYAAIUBd46BM/Dyy2YhLkkKCzMLcoWG+ulirit17y4tX+459uqrUqtWfrogIK1bt07jxo3T/Pnzdfz4ca9zlStXVmxsrKVkAAAA/kVzDOTTzp3SwIGeetAg6R//8OMFhw6V5s3z1C+8ID34oB8viKLKdV0tX75ccXFx+u9//5vjfMOGDTVgwAB16dJFERERFhICAAD4H80xkE/9+kkHD5pxvXrSkCF+vFh8vJT9uc4ePcymyoAfuK6rnj176tdff/U6fu2112rQoEFq3769QkJ4CgcAABRu/LYD5MOHH0rvvOOpZ82SIiP9dLElS6SYGE/drp00bRr7GcNvQkJC9OSTT0qSHMdRx44d9c0332jFihW6/fbbaYwBAECRwJ1j4DSOHJF69fLUDz8stW7txwtGRUmlS0tJSVKTJtK//20ecAbO0a5duzRlyhT98MMP+vDDD722XPrnP/+pTZs2KSYmRvXr17eYEgAAwA5+4wZOY+hQaetWM65QQRo3zs8XbNlSWrnS3D2eP980y8A52Lx5s8aPH6/XX39dqampkqSvv/5a1157bdZ7IiMjNWHCBFsRAQAArGOuHHAK330nTZ7sqSdNksqXL4ALN2xoVqmuUqUALobCauXKlbrrrrvUsGFDzZ49O6sxlqS5c+daTAYAABB4uHMM5CEtTYqONnsbS9LNN0udO/vhQqmp0q5dUo0afvhyFDUZGRlavHix4uLitHLlyhznmzVrpoEDB6pjx44W0gEAAAQummMgD5MmST/9ZMaRkdKMGX5YEysjQ+rWTfr0U7PqV/PmPr4AipIVK1bo0Ucf1ebNm3Oca9++vQYOHKjrrrvO61ljAAAAGDTHQC7++EMaNsxTDx8u1anjhwsNGSK99ZYZ33CD6cZZDAlnqWLFil7bMYWHh6tLly568skn1ahRI4vJAAAAAh/PHAMncV2zFlZKiqkbN5aeeMIPF5o1S3rxRU/dtavZQBnIh3Xr1mnPnj1exxo0aKA77rhDZcqU0VNPPaXExES98sorNMYAAAD5QHMMnGT+fGnpUjMOCZFmz/bDTkr/93/e+0O1by9NmcJexjiljIwMffTRR7rpppt06aWXaurUqTneM2XKFG3dulVjxoxR1apVLaQEAAAITjTHQDb79kn9+nnq2FipWTMfX+T776V77/Ws9NW0qfT22+xljDz9/fffmj59ui666CLddttt+vTTTyVJM2bM0NGjR73eW716dZUqVcpGTAAAgKDGb+NANgMGSHv3mnGNGtLIkT6+QGKidNtt0t9/m7pmTbMQF3sZIxdbt27V1KlTNXv2bB04cMDrXEhIiK6//nolJSWpClt+AQAAnDOaY+CEZcuk117z1NOn+7hnTUqS2rWT/vrL1OedJy1ZIlVlANRxAAAgAElEQVSu7MOLoDD49ttvNWnSJC1YsEDp6ele50qXLq3o6Gj16dNHNWvWtJQQAACg8KE5BmQW33rsMU99773mMWCfSU2VOnSQNm40dbFi0vvvSxdd5MOLoDDIyMjQQw89pN9++83reN26ddW3b189/PDDTJsGAADwA545BiSNGiVl9iJlykgvveTjC4SGStlXDH79dem663x8EQQj13W96pCQEMXGxmbVrVq10qJFi7Rp0yb16dOHxhgAAMBPuHOMIm/dOmnsWE8dF+eHmc5hYdK0aVLt2mavqPvv9/EFEGw2bdqkyZMn69dff9XSzOXRT+jWrZvWr1+vmJgYNW7c2FJCAACAooXmGEVaeroUHS0dP27qli2l7t39dDHHkQYO9NOXIxi4rqvPPvtMkyZN0kcffZR1/H//+5+uvPLKrDoqKkqzZs2yEREAAKDIYlo1irSZM6X//c+MixWTZs0yexv7xIYNnu2aUKSlpKRozpw5+sc//qGbbrrJqzGWpAULFlhKBgAAgEzcOUaRtW2b9MwznnrwYB+uj7V6tXT99Wbbptdfl4oX99EXI5js3LlT06dP18yZM7U3c4+wExzH0W233aZ+/fqpVatWlhICAAAgE80xiqw+faTDh824YUPp6ad99MUJCWap6+Rk6Z13zC3pN97w0ZcjWLz22mvq0aOH0tLSvI6XLFlS3bp1U2xsrOrXr28pHQAAAE5Gc4wi6b33zE5KmWbPliIifPDF+/dLt94q7d5t6nLlpCFDfPDFCDbNmzf3aoxr1KihPn366NFHH1XZsmUtJgMAAEBuaI5R5CQlSY8/7ql79DALcZ2zo0elO++UNm0ydUSEtGiR1KCBD74cgerQoUN69dVX1blzZ51//vlZxy+++GLdcsstOnz4sPr166e77rpLYWH8lQsAABCo+E0NRYbrSgsXSn37Sjt2mGOVK0v/+pcPvjwjQ3r4YemrrzzH5s6Vrr3WB1+OQPTHH39oypQpevnll3X48GEdOXJEzz77rNd7Fi5cqJIlS1pKCAAAgDPBatUoEjIfA77nHk9jLEn/396dh1dRHXwc/x42EVlkEVGoBikCxVJxQQGruLxgFYoSROmLosUNF5a6vUpba2tfXFlUrIBt1cqLS6LFXStV1LrUnSqKaxAVQRFQ1oCZ94+5WW4WZLm5N8n9fp5nnsk959yZE3JI8svMnHPjjZCSO1wvvRTuvrv09bXXwrBhKTiwapIoinjmmWcYMmQInTt3ZsqUKXybeHB92rRpFBYWJrU3GEuSJNUeXjlWnVZYCNdfD3/4A6xbV1rerh3ccAMMHZqCk9x8M1xzTenrc8+FCy5IwYFVUxQWFnLPPfcwefJkXnvttQr1Xbp0Ydy4cURRlIHeSZIkKRUMx6qznn0Wzj4bFiwoLQsBzjkHrrwyRVeMH3oonva62KBBMHVqfCLVeuvWrWPSpElMmzaNJUuWVKjv378/48ePp3///tRL2QLZkiRJygTDseqcr76Ciy+Gv/41uXzffWH6dOjVK4Un69QJ9tgDCgrgwANh9myoXz+FJ1AmNWrUiFtvvTUpGDdu3JhTTjmFMWPG0L179wz2TpIkSankpQ7VGVEUB+KuXZODcdOmMHkyvPxyioMxQLdu8MIL8f3ZDz0EPmNaaxUVFfHll18mldWvX5/zE3cG7Lbbbvzxj39k8eLFTJ8+3WAsSZJUx3jlWHXCggXxLdTPPptcnpsLU6ZAhw7VePJ27eDee6vxBKpOa9as4Y477mDq1Km0a9eOp59+Oql+1KhRtG3blmHDhtGoUaPMdFKSJEnVznCsWm3t2vj54WuvhU2bSstzcuCmm+IZqlNq/Xp47z3o0SPFB1a6LV68mGnTpjFjxgxWrFgBwMKFC3n99dfp2bNnSbsWLVowYsSITHVTkiRJaeJt1aq1Hn0U9tkHJk4sDcYNGsAll8Dbb1dDMC4qgpEj4eCD4YEHUnxwpctLL73E8OHD6dixI1dffXVJMAZo3rw5CxcuzGDvJEmSlCleOVat89lnMG4c5OUll/ftC7fcEgfmanHJJXDPPfHHxx8Pr70GP/lJNZ1MqbRp0ybuu+8+pkyZwgsvvFChfq+99mLs2LGcdtppNGvWLAM9lCRJUqYZjlVrfPcdTJsGv/41fPttaXmrVvEyw6edBtW2ms5NN8F115W+Pvdcb62uRS6++GImT55cobxfv36MGzeOgQMHUt9ZxiVJkrKat1WrVnjlFTjoIBg7NjkYn3oqvPsujBpVjcF4zpz4xMWOOy6e/tq1jGuNU089teTjhg0bMnLkSF577TWeeuopBg8ebDCWJEmSV45Vs61aFV8pnjYtXqqpWNeu8S3Uhx1WzR34979h+PD4eWOIE/qsWa5lXANFUcRTTz3FzTffzMyZM2nZsmVJXY8ePTjxxBPp0qULo0ePpl27dhnsqSRJkmoiw7FqpCiKV0caNw6WLCktb9w4DssXXQTVvqrOhx/CwIGwbl38ulMnePBBaNKkmk+srbF+/Xpmz57NlClTmD9/PgC9evXi4osvTmp31113ZaJ7kiRJqiW8rVo1zocfwjHHwIknJgfjAQPgrbdgwoQ0BOOvvoKf/Qy+/DJ+3bo1PPII7LJLNZ9YW+qLL77g8ssvZ4899uCXv/xlSTAGmDZtGkXFV/slSZKkLeCVY9UYhYXxesVXXhkvJ1xst91gyhQ44YQ0PeZbWAiDB8P778evd9ghXrpp773TcHJ9nzfeeIMpU6Ywe/ZsCgsLk+qaNGnCaaedxpgxY6hXbQ+hS5IkqS4yHKtGmDcPRo+Gd94pLQshnhT6yiuhRYs0dqZhwzgcP/983IlZs6BPnzR2QJX57LPPGDFiBE8//XSFuh/84Aecf/75nH766UnPGkuSJElbynCsjPryy/j54dtvTy7fbz+YPh0OOCADnQoBLr4Y9tgDli2D3NwMdELltW3blveLr+Yn9O7dm3HjxjFkyBAaNPDbmSRJkrad9x0qI4qK4M9/jmedLhuMmzWDqVPjSaIzEozLOukkGDMmw53ITgUFBbz11ltJZQ0bNuS8886jfv36nHTSSbz44os8//zzDBs2zGAsSZKk7WY4Vtq9/Xa8BNPpp8PXX5eWn3BCfFv1mDEZWCnpxReTH3RW2kVRxHPPPcfQoUPp1KkT48ePr9Bm9OjRFBQUMHv2bA466KAM9FKSJEl1leFYabN2LVx6Key7Lzz3XGl5Tg48/DDccw+0b5+Bjr34Ihx+OPTvn5zWlRaFhYXMmjWLXr168dOf/pT8/HyKiop48sknK1w9btGiBR06dMhQTyVJklSXeS+i0uLhh+G886CgoLSsQYP4eeNf/zqDSwd/+CEMGhRfNX72WRg5Ml7LWNXuq6++YsaMGUybNo3PP/+8Qn3//v357rvvMtAzSZIkZSPDsarVp5/C2LFw333J5T/9KfzpT9C9e2b6BZSuZfzVV/HrNm1g8uQMdig7LFiwgKlTp3LHHXewvtyt7I0bN+bkk09m7NixdM/o4JAkSVK2MRyrWmzaBDfdBL/5DaxeXVreunW8lvGpp6ZpzeKqrFuXvJZx48bxWsY//GEGO5UdJk6cyJ133plUtttuu3Huuedy5plnsssuu2SoZ5IkScpmPnOslPv3v6FXLxg/PjkYn3YavPtuvM9oMN64EU4+OV7HGErXMu7dO4OdqpuKiooqlI0bN67k4/3224+//e1vFBQUMGHCBIOxJEmSMsYrx0qZVatgwgS4+WaIotLybt3gllvg0EMz1zcg7uDMmfFaUZ9+Wlo+eTIMGZK5ftUxa9eu5bHHHiMvL49nn32Wt99+m+bNm5fU77///kyYMIEBAwZwyCGHEDL6lxJJkiQpZjjWdosiuPvu+ErxF1+UljduDL/9LVxwATRqlLn+AXEne/eO14oqa9y4+KFobZdvvvmGhx9+mPz8fB599FHWrl1bUveXv/wl6WoxwJVXXpnuLkqSJEmb5W3V2i4ffABHHw3DhycH45/9LF7P+NJLa0AwhvjW6ZEjS1+3bRs//HzddZnrUy23YsUKbr/9dgYNGsQuu+zCL37xC/Lz85OCMcCjjz6aoR5KkiRJW84rx9omGzbANdfAH/8Yf1xs993ju5ZzczP0XHEUwT/+Ac88A+WvTp51FuTnw5lnwogR8aVtbZMpU6Zw0UUXsWnTpkrrf/SjH5Gbm0tubi49evRIc+8kSZKkrWc41lZ76ikYPRoWLiwtq1cvXsf4D3+AMo+Xpk9hYXxv93XXwfz5cdmwYVA2mO28czxbmLbKqlWraNGiRVJZ165dKwTjfffdtyQQd+vWLZ1dlCRJkrab4VhbbNkyuOgiuOOO5PIDDogn3Np//wx0atUqmDEjvlz92WfJdddfD7ffnoFO1X4FBQXcd9995OXlMX/+fJYuXcpOO+1UUn/EEUfQsmVLOnfuXBKIO3XqlMEeS5IkSdvHcKzvVVQEf/4zXHIJrFhRWt6sGfzv/8ZXkevXT3OnFi+OA/GMGfDtt8l1TZrA6afHk21pi7333nvk5+eTn5/Pq6++mlT32GOPkZubW/K6UaNGfPTRR+y8887p7qYkSZJULQzH2qz//AfOPrt0SeBiJ54IkybFzxin1fvvwxVXxLdQl3/eddddYcyYuMOtWqW5Y7VPFEUsWLCAvLw88vPz+c9//lNpu/r16/Puu+9WKDcYS5IkqS4xHKtSa9bEGXTSJPjuu9LyvfaCadPiGaozYtUqmDUruaxbN7jwQvjv/4YddshMv2qh0aNHM3369ErrGjZsyFFHHUVubi6DBw+mTZs2ae6dJEmSlF4u5aQKHnwQfvSjeKWj4mDcsCFMmABvvZXGYFxYCOvXJ5cdcAD06xd/3K8fPPRQ3Klf/tJgXIWioiI++eSTCuUHH3xw0uvGjRszePBg7rjjDpYtW8YjjzzCqFGjDMaSJEnKCl45VonFi2HsWLj//uTyww6DP/0pvkCbFitXlk6yddFFFZ8dvvbaeH/AAWnqUO3z3Xff8a9//avkGeKioiI+/fRT6tUr/XvYz3/+c3beeWf69+9Pbm4uxxxzDE2bNs1gryVJkqTMMRyLTZvghhvgt7+Nb6cu1qZNvDLSKaekac3iTz6JA/HMmaWTbE2eHK8R1aDMUDUUV2rjxo3MmzeP/Px87r//fpYuXZpU/8ILL9C3b9+S161atWLZsmU0bNgw3V2VJEmSahzDcZZ76SU46yx4883k8lGj4OqroXXrNHTi9dfjZZfuuiv5AWeADRviSbhcN7dSGzZsYO7cueTl5TFnzhy+/vrrStu1atWKxYsXVyg3GEuSJEkxw3GWWrkSLrssXp84ikrLu3ePyw45pJo7EEXw+OPxpem5cyvWO8nWFjn66KN5+umnK63bddddOf744xk6dCiHHXYYDRr4312SJEmqir8tZ5kogtmz4Ve/grJ33e64I1x+OYwfD40apaEj/fvDk09WLO/XL37O+OijoZ7zxRX79ttv+fTTT+lW7gr6gAEDksJxhw4dyM3NJTc3lz59+lA/7QtQS5IkSbWT4TiLvP8+nHNOxUx67LFw002Qk5PGzhx2WGlH6tWDYcPgggt8nriMlStX8sADD5Cfn8/jjz9O165deeONN5La5ObmMnPmzJJAfOCBByZNuiVJkiRpyxiOs8CGDXDVVTBxYvxxsfbt44m4jj++Gifc+uST+PbpM85ILh89Gm68EYYPj2ejTmsyr7m+/PJL5syZQ35+PnPnzmXjxo0ldW+++SYffvghnTp1Kinr3LkzH3zwASEtM6ZJkiRJdZfhuI775z/jHPree6Vl9erBmDHw+99Ds2bVdOLXX4+fJ7777niSrUMOSZ5Uq3XreO2otNzDXbMtWbKE+++/n7y8PObNm0dRUVGl7Xr06MHSpUuTwjFgMJYkSZJSwHBcRy1dGs9ndeedyeUHHgjTp0PPntVw0uJJtq69Nk7lZU2aFC/RVJbBmCiK6N27N4sWLaq0/oADDii5Zbpz585p7p0kSZKUPQzHdUxRUZxB/+d/4hmpizVvHt9WfdZZkPI5mjZsiGf5uv56eOutivWHHw5Dh6b4pLXPBx98wJo1a/jJT35SUhZC4LjjjmPq1KklZX369GHo0KEMGTKEPffcMxNdlSRJkrKO4bgOefNNOPtsePHF5PKTToov3O62W4pPuHJlfBl66lRYsiS5rn790km29t8/xSeuPRYsWEB+fj55eXnMnz+fAQMG8NhjjyW1OeGEE5g/fz65ubkcf/zx7L777hnqrSRJkpS9DMd1wOrV8LvfwZQp8eO9xTp1gmnTYMCAajrxO+/El6jL2mmnePKtceMgC696RlHEm2++SV5eHvn5+bz77rtJ9XPnzmXFihW0bNmypKxv3778s/xt6JIkSZLSynBcy82ZA+efH89tVaxhwzizXnppvH5xykRR8rTWvXtDnz7w/PPxZemxY+HMM6FM8MsGURTx8ssvlwTijz76qNJ2O+ywA/379+frr79OCseSJEmSMs9wXEt98kk84/ScOcnl/frBn/4EXbum6ERRBI89Fk+ylZsL556bXP+HP8SdGT4cdtghRSetXTZs2MCRRx7J6tWrK9Q1adKEY445htzcXI499liaVdv04JIkSZK2h+G4ltm4MX7E9/LLYe3a0vI2beLnikeMSNGaxRs2wP/9XzzJ1ttvx2WLFsUPNZed0euII1Jwstph06ZNzJs3jzZt2iRNqtW4cWOOPfZY7r77bgCaNWvGoEGDyM3N5eijj6ZJkyaZ6rIkSZKkLWQ4rkVeeCHOpvPnJ5efcQZcdRW0apWCk6xYEU+ydcMNFSfZWrQIXnkFDjooBSeqHQoLC5k7dy75+fn8/e9/Z/ny5YwcOZLbbrstqd2IESNo0qQJubm5HHXUUeyQpVfRJUmSpNrKcFwLrFgRP0M8Y0Zy+T77wC23QN++KThJQUE8o9ett8KaNcl1TZuWTrK1xx4pOFnNtm7dOp544gny8vJ48MEHWbVqVVL9Aw88wMaNG2nYsGFJ2cCBAxk4cGC6uypJkiQpRQzHNVgUwaxZ8WpIy5aVljdpEs9OPW5cPPnWdjvvvDhll53qGmD33Usn2dp55xScqOZat24dDz30EHl5eTz88MOsKf8HgoT27dszZMgQVq9e7aRakiRJUh1iOK6hFi6Ec86B8iv8DBoEN96Y4lWSWrdODsb77AMXXhhPstWoUQpPVHN98803nHjiiURRVKEuJyeH3Nxchg4dSq9evahXr14GeihJkiSpOhmOa5j162HixPgZ4sLC0vIOHeJQPHjwdky4tWEDPPssHHVUcvm558I118T3Z194Ybwwckpm9cq8oqIili5dSkFBQdJ25JFHMmzYsJJ2u+66K4ceeijz5s0DYO+992bo0KHk5ubSs2dPQh3595AkSZJUOcNxDfLkkzB6NHzwQWlZ/frxnc2/+x1s8ypAK1bEt03fcAMsXRpflu7cubS+bdv4pO3bb0/3M+7ll19m7ty5JQH4448/ZtGiRWzYsKFC23r16iWFY4BzzjmHww8/nNzcXLp3724gliRJkrKI4biGKCiIL9gWFZWW9eoVTxy9777bcdDKJtmaPBluvjm5bQ0NxlEUsWzZsgpXftu1a8fll1+e1PbJJ5/ksssu26LjFhQUVCgrH5YlSZIkZQ/DcQ2RkwPnnx+vYdyiRXxb9RlnJC8pvMVefRWuvRbuvTc5bUM8yVbXrqnocsoVFBRwzz33VAjC69atq9C2R48eFcJxTk5Opcdt1aoVOTk5SduPf/zj6vgUJEmSJNVShuMa5Pe/h40b4Te/gXbttvLNRUXw6KNw3XXw9NMV63/84/h54pNOSuskW1EUsXz58gqBd/ny5cyePTup7aJFi7jkkku26LgFBQVEUZR06/N+++3H+PHjKwTh5s2bp/RzkiRJklT3GI5rkObNYdq0bXzzSy9BZevsHnVUHIr796/2SbbWrFnDLbfcUiEIr169utL2M2fOpGnTpiWvq7ry26JFCzp27Fgh9JYPx126dGHSpEkp/ZwkSZIkZQfDcV1x8MFw4IHw8svxvdgnnRSH4m1+YDkWRRErV64smeCqbOi98cYb2bPMmlL169fnwgsv3OJjL1q0iO7du5e8bt++PWPHjq0Qgneu42ssS5IkScq8lIXjEEIH4PfA0UBrYAnwd+CKKIpWpPs4ddbHH8eTbO2/P5xySml5CDBhAjzzTDy99R57bNPhZ86cyVtvvZUUgr/55ptK255//vlJ4bhx48bsvvvufP7550ntmjZtSk5OToWrv+3LTQLWoEEDpkyZsk39liRJkqTtkZJwHELoBDwPtAXmAO8CvYCxwNEhhL5RFC1P13HqpFdeiSfZysuLny/u0gVGjIB69UrbDB4cb+WsWrUqKewWXwEeNWoUgwYNSmo7Y8YMXnnllS3qUmUzPv/qV78CSArBrVq1clkkSZIkSTVaqq4c30wcaMdEUXRjcWEIYRIwHvgjcHYaj1M3FBXBI4/Ek2zNm5dct3AhzJ0L//VfScUPPfRQ0lq/BQUFrFy5stLD9+zZs0I4zsnJqRCOmzRpUhJ0y179Peiggyoc84ILLtiGT1SSJEmSMmu7w3EIYS+gP1AAlJ9O6nLgTODkEMIFURStoQqpOk6dsH49zJoF118P77zDauJ/lJJtzz35uEMHDnj5ZS4tF47/8Y9/cMMNN2zRaSq78jt8+HAOPPDApBDcpk0br/xKkiRJqtNSceX4iMT+iSiKkhbVjaLo2xDCv4hD78HA3DQcp1Z79aKLuOvmm/l47dqSMFzhPvJFi2DRIlbvtBOXXnZZUlVlMz43btw46Tbn4uC7zz77VGg7ZMiQ1HwikiRJklSLpCIcd0ns36ui/n3iULs3mw+1qToOIYRXq6jqurn31QTvv/ce161du0VtK7vy269fPyZOnJgUgtu2beuVX0mSJEnajFSE4xaJ/aoq6ovLv289nlQdp1bLOeMMeOCBpLJGjRqx5557VljiqFOnThXe37NnT3r27Jmu7kqSJElSnZCOdY6LL1lG6TpOFEX7V3qA+IryftvZj2rVpW9frjzzTHL69CHnhz+kY8eOtGvXjnplZ6WWJEmSJKVUKsJx8RXdFlXUNy/XrrqPU6u1bNmSCdOnZ7obkiRJkpRVUnE5cmFiv3cV9Z0T+6qeJU71cSRJkiRJ2iqpCMdPJfb9QwhJxwshNAP6AuuAF9N0HEmSJEmStsp2h+Moij4EngBygHPLVV8B7ATcUbw2cQihYQihawih0/YcR5IkSZKkVEnVhFznAM8DN4QQjgTeAQ4CDie+DXpCmbbtE/WLiIPwth5HkiRJkqSUSMkUyImrvgcAtxGH2QuATsANQO8oipan8ziSJEmSJG2NlC3lFEXRYuC0LWhXQOmyTNt8HEmSJEmSUsXFcyVJkiRJWc9wLEmSJEnKeoZjSZIkSVLWMxxLkiRJkrKe4ViSJEmSlPUMx5IkSZKkrGc4liRJkiRlPcOxJEmSJCnrGY4lSZIkSVnPcCxJkiRJynqGY0mSJElS1jMcS5IkSZKynuFYkiRJkpT1DMeSJEmSpKxnOJYkSZIkZT3DsSRJkiQp6xmOJUmSJElZz3AsSZIkScp6hmNJkiRJUtYzHEuSJEmSsp7hWJIkSZKU9QzHkiRJkqSsZziWJEmSJGU9w7EkSZIkKesZjiVJkiRJWc9wLEmSJEnKeoZjSZIkSVLWMxxLkiRJkrKe4ViSJEmSlPUMx5IkSZKkrBeiKMp0H9ImhLB8xx13bNWtW7dMd0WSJEmSlGLvvPMO69at+zqKotZb+95sC8cfA82Bggx3ZXO6JvbvZrQXylaOP2WS40+Z5hhUJjn+lEl1afzlAN9EUdRxa9+YVeG4NgghvAoQRdH+me6Lso/jT5nk+FOmOQaVSY4/ZZLjL+Yzx5IkSZKkrGc4liRJkiRlPcOxJEmSJCnrGY4lSZIkSVnPcCxJkiRJynrOVi1JkiRJynpeOZYkSZIkZT3DsSRJkiQp6xmOJUmSJElZz3AsSZIkScp6hmNJkiRJUtYzHEuSJEmSsp7hWJIkSZKU9QzHNUQIoUMI4S8hhM9DCBtCCAUhhCkhhJaZ7ptqlhBC6xDC6SGE+0MIH4QQ1oUQVoUQngshjAohVPr/OoTQJ4TwSAjh6xDC2hDC/BDCuBBC/c2ca2QI4d8hhNWJczwdQhi4mfY7hhCuCCEsDCGsDyEsCyHcE0LolorPXTVXCOHkEEKU2E6voo1jUCkVQvhpCCE/hLAk8bNzSQjhiRDCMZW0dfwpZUIIxybG2qeJn8MfhRDuDSH0rqK9409bJYQwNIRwYwjh2RDCN4mfr3d+z3tq5DgLtSnnRFHkluEN6AQsBSLg78BVwD8Tr98FWme6j241ZwPOToyNz4FZwETgL8DKRHkeEMq9ZzCwCVgN/Bm4NjG2IuDeKs5zXaJ+MTAZmAYsT5SdV0n7HYDnEvUvA1cD/wdsBNYAB2X6386t2sbkDxLj79vE1//0Sto4Bt1SPe5+nfhafwn8FfhfYEbia3+N48+tGsfe1Ymv81fArYnf2/KAQqAIGOH4c0vBOHsj8fX8Fngn8fGdm2lfI8cZtSznZLwDbhHA44kBcn658kmJ8lsy3Ue3mrMBRwCDgHrlytsBnyTGTG6Z8ubAMmADcECZ8sbA84n2J5U7Vp9E+QdAyzLlOYlvmuuBnHLvubT4G3DZviW+WUfA2+X77Fb7NyAATwIfJn4QVwjHjkG3ahh3JyS+pv8AmlVS37DMx44/t1SOvXbAd8AXQNtydYcnvtYflSlz/Llt61g7HOic+Dnbj82E45o8zqhlOSfjHcj2DdgrMTA+rmQwNSP+688aYKdM99Wt5m/AZYnxdGOZsl8mym6vpP0Ribp55crvSJSfVsl7fp+ou6JMWQAWJco7VvKeZxJ1h2f638gt5WNuLOKF9V0AAAZLSURBVPGVkkOB31F5OHYMuqVyzNUDPkr8bNxlC9o7/txStgEHJb6Wc6qo/wb4tsxrx59bKsZdPzYfjmvkOKMW5hyfOc68IxL7J6IoKipbEUXRt8C/gCbAwenumGqljYn9pjJlxWPssUraPwOsBfqEEHbYwvc8Wq4NxLfM7AG8F0XRx1v4HtVyieeLrgKmRlH0zGaaOgaVSn2AjsAjwIrEs5+XhBDGVvG8p+NPqfQ+8e3TvUIIbcpWhBAOJf6F/8kyxY4/pUNNHWe1LucYjjOvS2L/XhX17yf2e6ehL6rFQggNgFMSL8t+o6tyjEVRtIn4r3kNiP+6RwhhJ6A9sDqKoiWVnKqyMek4zjKJ8fY34lv5L/ue5o5BpdKBif1S4DXgIeI/0kwBng8hzAsh7FKmveNPKRNF0dfAJcCuwIIQwowQwsQQwj3AE8S3+p9V5i2OP6VDTR1ntW5sNsh0B0SLxH5VFfXF5TunoS+q3a4C9gEeiaLo8TLlWzvGtmVMOo6zz2+BnsAhURSt+562jkGlUtvE/mziX/iOAl4C9gSuBwYQPw/XL9HO8aeUiqJoSgihgHgyzDPKVH0A3BZF0bIyZY4/pUNNHWe1bmx65bjmC4l9lNFeqEYLIYwBLiCe9e/krX17Yr+1Y2xr2juO65AQQi/iq8XXR1H0QioOmdg7BrUlipckCcDQKIrmRlG0Ooqit4HjgU+Bw6paUqcSjj9tlRDCxcSzU99GfKvpTsD+xM/CzwohXLM1h0vsHX+qTjV1nNW4sWk4zrziv5i0qKK+ebl2UpIQwrnAVGAB8SQIX5drsrVj7PvaV/ZXQMdxlihzO/V7wG+28G2OQaXSisT+oyiK3ixbkbiLofjOmV6JveNPKRNC6Ee8fM0DURT9Koqij6IoWhtF0WvEf5z5DLgghLBX4i2OP6VDTR1ntW5sGo4zb2FiX9W99p0T+6ru1VcWCyGMA24C3iIOxl9U0qzKMZYIOh2JJ/D6CCCKojXEP9ybhhB2q+R4lY1Jx3H2aEr8de4GrA8hRMUbcHmizcxE2ZTEa8egUqn4a72yivri8LxjufaOP6XCwMT+qfIVURStBf5N/Pt1z0Sx40/pUFPHWa0bm4bjzCv+5to/hJD09QghNAP6AuuAF9PdMdVsIYRLiBdsf4M4GC+rouk/E/ujK6k7lHiWwOejKNqwhe/5Wbk2EK9x+wmwdwih4xa+R7XTBuDPVWyvJ9o8l3hdfMu1Y1Cp9AzxL3mdQwiNKqnfJ7EvSOwdf0ql4tl+d6mivri8MLF3/Ckdauo4q305J9NrSbnVvsWx3TK/Ed/OGgGvAK2+p21z4Etq4MLwbnVro+p1jh2Dbqkea3cmvqZXliv/L+J1t1cCOyfKHH9uqRx7wxJfzy+A9uXqfpYYf+uA1o4/txSOu35sfp3jGjvOqGU5JyQ6pwwKIXQiHrhtgTnAO8SLzB9OfJtBnyiKlmeuh6pJQggjiScB+Q64kcqf0yiIoui2Mu85jnjykPXAXcDXwM+Jp9jPA4ZF5b4ZhBCuB35FPLlNHtAIOBFoTfwN7qZy7Xcg/mthH+LQPpd4PbwTiP+CfkQURS9t+2eumi6E8DviW6vPiKLo1nJ1jkGlTAihLfH6mD8EniW+lXVP4mc+I+AXURTdW6a9408pkbj69TjxLOnfAvcTB+VuxLdcB2BcFEVTy7zH8aetlhg3xyVetiOeif8j4u95AF9FUXRhufY1bpzVupyT6XTuFm/AD4C/AkuIB9ci4kmWNntV0C37Nkqvzm1ue7qS9/UFHiF+Hm8d8B9gPFB/M+caCbwMrCH+JWAeMHAz7XcEriBet24D8V8x7wV+lOl/N7fq36jiynGZesegW8o2oBXxlYePEz83lxP/4nVwFe0df26pGnsNgXHEt4J+Q3yb/zLiNbf7V/Eex5/b1o6z7/t9r6C2jDNqUc7xyrEkSZIkKes5IZckSZIkKesZjiVJkiRJWc9wLEmSJEnKeoZjSZIkSVLWMxxLkiRJkrKe4ViSJEmSlPUMx5IkSZKkrGc4liRJkiRlPcOxJEmSJCnrGY4lSZIkSVnPcCxJkiRJynqGY0mSJElS1jMcS5IkSZKynuFYkiRJkpT1DMeSJEmSpKxnOJYkSZIkZT3DsSRJkiQp6/0/VEp5HJd5SioAAAAASUVORK5CYII=\n", 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\n", "text/plain": [ "
" ] diff --git a/docsrc/notebooks/quickstart.ipynb b/docsrc/notebooks/quickstart.ipynb index 9ecef026..6cf55026 100644 --- a/docsrc/notebooks/quickstart.ipynb +++ b/docsrc/notebooks/quickstart.ipynb @@ -27,8 +27,8 @@ "execution_count": 1, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:17:05.198575Z", - "start_time": "2020-02-19T01:17:04.919145Z" + "end_time": "2020-02-23T21:44:44.946280Z", + "start_time": "2020-02-23T21:44:44.671529Z" } }, "outputs": [ @@ -36,7 +36,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "2020-02-18T20:17:05-05:00\n", + "2020-02-23T16:44:44-05:00\n", "\n", "CPython 3.7.3\n", "IPython 7.10.2\n", @@ -61,8 +61,8 @@ "execution_count": 2, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:17:07.084065Z", - "start_time": "2020-02-19T01:17:05.203105Z" + "end_time": "2020-02-23T21:44:48.609232Z", + "start_time": "2020-02-23T21:44:44.953406Z" } }, "outputs": [ @@ -72,10 +72,10 @@ "text": [ "watermark 2.0.2\n", "geopandas 0.6.2\n", - "matplotlib 3.1.2\n", - "spaghetti 1.4.1\n", - "libpysal 4.2.0\n", + "spaghetti 1.4.2\n", "matplotlib_scalebar 0.6.1\n", + "libpysal 4.2.0\n", + "matplotlib 3.1.2\n", "\n" ] } @@ -99,8 +99,8 @@ "execution_count": 3, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:17:07.097170Z", - "start_time": "2020-02-19T01:17:07.089718Z" + "end_time": "2020-02-23T21:44:48.621213Z", + "start_time": "2020-02-23T21:44:48.616326Z" } }, "outputs": [], @@ -126,8 +126,8 @@ "execution_count": 4, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:17:07.397199Z", - "start_time": "2020-02-19T01:17:07.105414Z" + "end_time": "2020-02-23T21:44:48.784368Z", + "start_time": "2020-02-23T21:44:48.633046Z" } }, "outputs": [], @@ -149,8 +149,8 @@ "execution_count": 5, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:17:07.506776Z", - "start_time": "2020-02-19T01:17:07.399984Z" + "end_time": "2020-02-23T21:44:48.887351Z", + "start_time": "2020-02-23T21:44:48.786734Z" } }, "outputs": [], @@ -177,8 +177,8 @@ "execution_count": 6, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:17:07.520178Z", - "start_time": "2020-02-19T01:17:07.509619Z" + "end_time": "2020-02-23T21:44:48.898858Z", + "start_time": "2020-02-23T21:44:48.892352Z" } }, "outputs": [ @@ -211,8 +211,8 @@ "execution_count": 7, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:17:07.787995Z", - "start_time": "2020-02-19T01:17:07.524717Z" + "end_time": "2020-02-23T21:44:49.184538Z", + "start_time": "2020-02-23T21:44:48.904508Z" } }, "outputs": [], @@ -234,8 +234,8 @@ "execution_count": 8, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:17:07.800531Z", - "start_time": "2020-02-19T01:17:07.794238Z" + "end_time": "2020-02-23T21:44:49.194514Z", + "start_time": "2020-02-23T21:44:49.189465Z" } }, "outputs": [ @@ -272,8 +272,8 @@ "execution_count": 9, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:17:07.823665Z", - "start_time": "2020-02-19T01:17:07.805731Z" + "end_time": "2020-02-23T21:44:49.223185Z", + "start_time": "2020-02-23T21:44:49.198889Z" } }, "outputs": [], @@ -298,8 +298,8 @@ "execution_count": 10, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:17:07.842492Z", - "start_time": "2020-02-19T01:17:07.827893Z" + "end_time": "2020-02-23T21:44:49.239551Z", + "start_time": "2020-02-23T21:44:49.228679Z" } }, "outputs": [ @@ -333,8 +333,8 @@ "execution_count": 11, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:17:07.878040Z", - "start_time": "2020-02-19T01:17:07.850712Z" + "end_time": "2020-02-23T21:44:49.284976Z", + "start_time": "2020-02-23T21:44:49.246766Z" } }, "outputs": [], @@ -359,8 +359,8 @@ "execution_count": 12, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:17:07.892253Z", - "start_time": "2020-02-19T01:17:07.881885Z" + "end_time": "2020-02-23T21:44:49.296052Z", + "start_time": "2020-02-23T21:44:49.287414Z" } }, "outputs": [ @@ -393,8 +393,8 @@ "execution_count": 13, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:17:08.289826Z", - "start_time": "2020-02-19T01:17:07.901497Z" + "end_time": "2020-02-23T21:44:49.679251Z", + "start_time": "2020-02-23T21:44:49.300334Z" } }, "outputs": [], @@ -415,8 +415,8 @@ "execution_count": 14, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:17:08.323372Z", - "start_time": "2020-02-19T01:17:08.295429Z" + "end_time": "2020-02-23T21:44:49.690416Z", + "start_time": "2020-02-23T21:44:49.681595Z" } }, "outputs": [], @@ -442,8 +442,8 @@ "execution_count": 15, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:17:08.346798Z", - "start_time": "2020-02-19T01:17:08.329825Z" + "end_time": "2020-02-23T21:44:49.703425Z", + "start_time": "2020-02-23T21:44:49.695346Z" } }, "outputs": [], @@ -463,8 +463,8 @@ "execution_count": 16, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:17:08.376556Z", - "start_time": "2020-02-19T01:17:08.360110Z" + "end_time": "2020-02-23T21:44:49.724104Z", + "start_time": "2020-02-23T21:44:49.707461Z" } }, "outputs": [], @@ -487,8 +487,8 @@ "execution_count": 17, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:17:08.404530Z", - "start_time": "2020-02-19T01:17:08.386784Z" + "end_time": "2020-02-23T21:44:49.734106Z", + "start_time": "2020-02-23T21:44:49.728091Z" } }, "outputs": [], @@ -509,8 +509,8 @@ "execution_count": 18, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:17:09.507585Z", - "start_time": "2020-02-19T01:17:08.408359Z" + "end_time": "2020-02-23T21:44:50.708340Z", + "start_time": "2020-02-23T21:44:49.739120Z" } }, "outputs": [ diff --git a/docsrc/notebooks/shortest-path-visualization.ipynb b/docsrc/notebooks/shortest-path-visualization.ipynb index 2aae7051..e00ef1ae 100644 --- a/docsrc/notebooks/shortest-path-visualization.ipynb +++ b/docsrc/notebooks/shortest-path-visualization.ipynb @@ -28,8 +28,8 @@ "execution_count": 1, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:40:46.188214Z", - "start_time": "2020-02-19T01:40:45.932260Z" + "end_time": "2020-02-23T21:44:06.829070Z", + "start_time": "2020-02-23T21:44:06.522408Z" } }, "outputs": [ @@ -37,7 +37,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "2020-02-18T20:40:46-05:00\n", + "2020-02-23T16:44:06-05:00\n", "\n", "CPython 3.7.3\n", "IPython 7.10.2\n", @@ -62,8 +62,8 @@ "execution_count": 2, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:40:47.879245Z", - "start_time": "2020-02-19T01:40:46.192214Z" + "end_time": "2020-02-23T21:44:08.777129Z", + "start_time": "2020-02-23T21:44:06.836073Z" }, "scrolled": true }, @@ -73,9 +73,9 @@ "output_type": "stream", "text": [ "watermark 2.0.2\n", - "matplotlib 3.1.2\n", "libpysal 4.2.0\n", - "spaghetti 1.4.1\n", + "matplotlib 3.1.2\n", + "spaghetti 1.4.2\n", "\n" ] } @@ -97,8 +97,8 @@ "execution_count": 3, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:40:47.888909Z", - "start_time": "2020-02-19T01:40:47.884413Z" + "end_time": "2020-02-23T21:44:08.792448Z", + "start_time": "2020-02-23T21:44:08.785486Z" } }, "outputs": [], @@ -124,8 +124,8 @@ "execution_count": 4, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:40:47.906808Z", - "start_time": "2020-02-19T01:40:47.895103Z" + "end_time": "2020-02-23T21:44:08.819345Z", + "start_time": "2020-02-23T21:44:08.799228Z" } }, "outputs": [], @@ -151,8 +151,8 @@ "execution_count": 5, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:40:47.972099Z", - "start_time": "2020-02-19T01:40:47.914463Z" + "end_time": "2020-02-23T21:44:08.888815Z", + "start_time": "2020-02-23T21:44:08.827738Z" } }, "outputs": [], @@ -165,8 +165,8 @@ "execution_count": 6, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:40:48.427596Z", - "start_time": "2020-02-19T01:40:47.974657Z" + "end_time": "2020-02-23T21:44:09.354584Z", + "start_time": "2020-02-23T21:44:08.892365Z" } }, "outputs": [ @@ -204,8 +204,8 @@ "execution_count": 7, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:40:48.446347Z", - "start_time": "2020-02-19T01:40:48.433462Z" + "end_time": "2020-02-23T21:44:09.371541Z", + "start_time": "2020-02-23T21:44:09.358369Z" } }, "outputs": [], @@ -232,8 +232,8 @@ "execution_count": 8, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:40:48.472557Z", - "start_time": "2020-02-19T01:40:48.454221Z" + "end_time": "2020-02-23T21:44:09.396682Z", + "start_time": "2020-02-23T21:44:09.379508Z" } }, "outputs": [], @@ -256,8 +256,8 @@ "execution_count": 9, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:40:48.489115Z", - "start_time": "2020-02-19T01:40:48.477095Z" + "end_time": "2020-02-23T21:44:09.421761Z", + "start_time": "2020-02-23T21:44:09.405846Z" } }, "outputs": [], @@ -292,8 +292,8 @@ "execution_count": 10, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:40:49.215467Z", - "start_time": "2020-02-19T01:40:48.503304Z" + "end_time": "2020-02-23T21:44:10.116363Z", + "start_time": "2020-02-23T21:44:09.427869Z" } }, "outputs": [ @@ -339,8 +339,8 @@ "execution_count": 11, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:40:49.232655Z", - "start_time": "2020-02-19T01:40:49.220612Z" + "end_time": "2020-02-23T21:44:10.132371Z", + "start_time": "2020-02-23T21:44:10.120658Z" } }, "outputs": [ @@ -374,8 +374,8 @@ "execution_count": 12, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:40:49.252596Z", - "start_time": "2020-02-19T01:40:49.239236Z" + "end_time": "2020-02-23T21:44:10.146276Z", + "start_time": "2020-02-23T21:44:10.136294Z" } }, "outputs": [ @@ -406,17 +406,17 @@ "execution_count": 13, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:40:49.280644Z", - "start_time": "2020-02-19T01:40:49.257892Z" + "end_time": "2020-02-23T21:44:10.173901Z", + "start_time": "2020-02-23T21:44:10.152992Z" } }, "outputs": [ { "data": { "text/plain": [ - "[[(0, 1), ],\n", - " [(0, 2), ],\n", - " [(1, 2), ]]" + "[[(0, 1), ],\n", + " [(0, 2), ],\n", + " [(1, 2), ]]" ] }, "execution_count": 13, @@ -441,8 +441,8 @@ "execution_count": 14, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:40:49.326157Z", - "start_time": "2020-02-19T01:40:49.286637Z" + "end_time": "2020-02-23T21:44:10.222622Z", + "start_time": "2020-02-23T21:44:10.179969Z" } }, "outputs": [ @@ -521,8 +521,8 @@ "execution_count": 15, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:40:49.619273Z", - "start_time": "2020-02-19T01:40:49.329658Z" + "end_time": "2020-02-23T21:44:10.524225Z", + "start_time": "2020-02-23T21:44:10.227856Z" } }, "outputs": [ @@ -559,8 +559,8 @@ "execution_count": 16, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:40:50.339290Z", - "start_time": "2020-02-19T01:40:49.622653Z" + "end_time": "2020-02-23T21:44:11.249148Z", + "start_time": "2020-02-23T21:44:10.528562Z" } }, "outputs": [ @@ -609,8 +609,8 @@ "execution_count": 17, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:40:50.896296Z", - "start_time": "2020-02-19T01:40:50.346370Z" + "end_time": "2020-02-23T21:44:11.800149Z", + "start_time": "2020-02-23T21:44:11.254980Z" } }, "outputs": [], @@ -624,8 +624,8 @@ "execution_count": 18, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:40:51.408844Z", - "start_time": "2020-02-19T01:40:50.898616Z" + "end_time": "2020-02-23T21:44:12.483998Z", + "start_time": "2020-02-23T21:44:11.802497Z" } }, "outputs": [ @@ -663,8 +663,8 @@ "execution_count": 19, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:40:51.519046Z", - "start_time": "2020-02-19T01:40:51.411305Z" + "end_time": "2020-02-23T21:44:12.669430Z", + "start_time": "2020-02-23T21:44:12.491278Z" } }, "outputs": [], @@ -691,8 +691,8 @@ "execution_count": 20, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:40:55.488493Z", - "start_time": "2020-02-19T01:40:51.521449Z" + "end_time": "2020-02-23T21:44:16.551787Z", + "start_time": "2020-02-23T21:44:12.672018Z" } }, "outputs": [ @@ -738,8 +738,8 @@ "execution_count": 21, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:40:56.223618Z", - "start_time": "2020-02-19T01:40:55.490944Z" + "end_time": "2020-02-23T21:44:17.269625Z", + "start_time": "2020-02-23T21:44:16.553930Z" } }, "outputs": [ @@ -848,8 +848,8 @@ "execution_count": 22, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:40:56.565897Z", - "start_time": "2020-02-19T01:40:56.229545Z" + "end_time": "2020-02-23T21:44:17.672110Z", + "start_time": "2020-02-23T21:44:17.277891Z" } }, "outputs": [ @@ -886,8 +886,8 @@ "execution_count": 23, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:40:57.249947Z", - "start_time": "2020-02-19T01:40:56.578635Z" + "end_time": "2020-02-23T21:44:18.352351Z", + "start_time": "2020-02-23T21:44:17.684250Z" } }, "outputs": [ @@ -929,8 +929,8 @@ "execution_count": 24, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:40:57.279921Z", - "start_time": "2020-02-19T01:40:57.259898Z" + "end_time": "2020-02-23T21:44:18.375639Z", + "start_time": "2020-02-23T21:44:18.361781Z" } }, "outputs": [], @@ -946,8 +946,8 @@ "execution_count": 25, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:40:58.063371Z", - "start_time": "2020-02-19T01:40:57.289411Z" + "end_time": "2020-02-23T21:44:19.312022Z", + "start_time": "2020-02-23T21:44:18.379173Z" } }, "outputs": [ @@ -994,8 +994,8 @@ "execution_count": 26, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:40:58.090791Z", - "start_time": "2020-02-19T01:40:58.066143Z" + "end_time": "2020-02-23T21:44:19.347870Z", + "start_time": "2020-02-23T21:44:19.319045Z" } }, "outputs": [], @@ -1011,8 +1011,8 @@ "execution_count": 27, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:40:58.976367Z", - "start_time": "2020-02-19T01:40:58.106703Z" + "end_time": "2020-02-23T21:44:20.046653Z", + "start_time": "2020-02-23T21:44:19.366605Z" } }, "outputs": [ diff --git a/docsrc/notebooks/transportation-problem.ipynb b/docsrc/notebooks/transportation-problem.ipynb index b26ea76c..b25eb52b 100644 --- a/docsrc/notebooks/transportation-problem.ipynb +++ b/docsrc/notebooks/transportation-problem.ipynb @@ -27,8 +27,8 @@ "execution_count": 1, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:54:04.778389Z", - "start_time": "2020-02-19T01:54:04.302426Z" + "end_time": "2020-02-23T21:43:34.670664Z", + "start_time": "2020-02-23T21:43:34.397777Z" } }, "outputs": [ @@ -36,7 +36,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "2020-02-18T20:54:04-05:00\n", + "2020-02-23T16:43:34-05:00\n", "\n", "CPython 3.7.3\n", "IPython 7.10.2\n", @@ -61,8 +61,8 @@ "execution_count": 2, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:54:06.836803Z", - "start_time": "2020-02-19T01:54:04.785326Z" + "end_time": "2020-02-23T21:43:36.377452Z", + "start_time": "2020-02-23T21:43:34.675740Z" } }, "outputs": [ @@ -72,12 +72,12 @@ "text": [ "Using Python-MIP package version 1.6.8\n", "watermark 2.0.2\n", - "matplotlib_scalebar 0.6.1\n", - "geopandas 0.6.2\n", - "spaghetti 1.4.1\n", "matplotlib 3.1.2\n", - "numpy 1.17.3\n", "mip 1.6.8\n", + "numpy 1.17.3\n", + "matplotlib_scalebar 0.6.1\n", + "geopandas 0.6.2\n", + "spaghetti 1.4.2\n", "\n" ] } @@ -103,8 +103,8 @@ "execution_count": 3, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:54:06.865798Z", - "start_time": "2020-02-19T01:54:06.849541Z" + "end_time": "2020-02-23T21:43:36.390704Z", + "start_time": "2020-02-23T21:43:36.384288Z" } }, "outputs": [], @@ -183,8 +183,8 @@ "execution_count": 4, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:54:06.894032Z", - "start_time": "2020-02-19T01:54:06.879973Z" + "end_time": "2020-02-23T21:43:36.401702Z", + "start_time": "2020-02-23T21:43:36.394723Z" } }, "outputs": [], @@ -205,8 +205,8 @@ "execution_count": 5, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:54:06.909357Z", - "start_time": "2020-02-19T01:54:06.898290Z" + "end_time": "2020-02-23T21:43:36.415034Z", + "start_time": "2020-02-23T21:43:36.407775Z" } }, "outputs": [], @@ -227,8 +227,8 @@ "execution_count": 6, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:54:06.959366Z", - "start_time": "2020-02-19T01:54:06.920079Z" + "end_time": "2020-02-23T21:43:36.462849Z", + "start_time": "2020-02-23T21:43:36.419055Z" } }, "outputs": [], @@ -456,8 +456,8 @@ "execution_count": 7, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:54:06.971654Z", - "start_time": "2020-02-19T01:54:06.963956Z" + "end_time": "2020-02-23T21:43:36.474590Z", + "start_time": "2020-02-23T21:43:36.467592Z" } }, "outputs": [], @@ -470,8 +470,8 @@ "execution_count": 8, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:54:06.991054Z", - "start_time": "2020-02-19T01:54:06.979028Z" + "end_time": "2020-02-23T21:43:36.492128Z", + "start_time": "2020-02-23T21:43:36.483200Z" } }, "outputs": [], @@ -497,8 +497,8 @@ "execution_count": 9, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:54:07.017119Z", - "start_time": "2020-02-19T01:54:07.001759Z" + "end_time": "2020-02-23T21:43:36.515111Z", + "start_time": "2020-02-23T21:43:36.499083Z" } }, "outputs": [], @@ -540,8 +540,8 @@ "execution_count": 10, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:54:07.041593Z", - "start_time": "2020-02-19T01:54:07.023484Z" + "end_time": "2020-02-23T21:43:36.529053Z", + "start_time": "2020-02-23T21:43:36.520646Z" } }, "outputs": [], @@ -560,8 +560,8 @@ "execution_count": 11, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:54:07.064192Z", - "start_time": "2020-02-19T01:54:07.047126Z" + "end_time": "2020-02-23T21:43:36.551644Z", + "start_time": "2020-02-23T21:43:36.534650Z" } }, "outputs": [], @@ -594,8 +594,8 @@ "execution_count": 12, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:54:07.556287Z", - "start_time": "2020-02-19T01:54:07.068128Z" + "end_time": "2020-02-23T21:43:36.982723Z", + "start_time": "2020-02-23T21:43:36.555540Z" } }, "outputs": [], @@ -617,8 +617,8 @@ "execution_count": 13, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:54:08.005372Z", - "start_time": "2020-02-19T01:54:07.588746Z" + "end_time": "2020-02-23T21:43:37.297014Z", + "start_time": "2020-02-23T21:43:36.985510Z" } }, "outputs": [], @@ -641,8 +641,8 @@ "execution_count": 14, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:54:08.040179Z", - "start_time": "2020-02-19T01:54:08.016234Z" + "end_time": "2020-02-23T21:43:37.356527Z", + "start_time": "2020-02-23T21:43:37.304858Z" } }, "outputs": [ @@ -733,8 +733,8 @@ "execution_count": 15, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:54:08.059987Z", - "start_time": "2020-02-19T01:54:08.044265Z" + "end_time": "2020-02-23T21:43:37.387348Z", + "start_time": "2020-02-23T21:43:37.367268Z" } }, "outputs": [ @@ -830,8 +830,8 @@ "execution_count": 16, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:54:08.613891Z", - "start_time": "2020-02-19T01:54:08.066986Z" + "end_time": "2020-02-23T21:43:37.890268Z", + "start_time": "2020-02-23T21:43:37.393925Z" } }, "outputs": [], @@ -852,8 +852,8 @@ "execution_count": 17, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:54:09.610420Z", - "start_time": "2020-02-19T01:54:08.616512Z" + "end_time": "2020-02-23T21:43:38.645810Z", + "start_time": "2020-02-23T21:43:37.892586Z" } }, "outputs": [ @@ -904,8 +904,8 @@ "execution_count": 18, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:54:09.681574Z", - "start_time": "2020-02-19T01:54:09.620207Z" + "end_time": "2020-02-23T21:43:38.707597Z", + "start_time": "2020-02-23T21:43:38.648178Z" } }, "outputs": [ @@ -932,11 +932,13 @@ " \n", " id\n", " geometry\n", + " comp_label\n", " \n", " \n", " supply snapped\n", " \n", " \n", + " \n", " \n", " \n", " \n", @@ -944,33 +946,37 @@ " 0\n", " 0\n", " POINT (221677.280 268183.579)\n", + " 0\n", " \n", " \n", " 1\n", " 1\n", " POINT (221538.890 268184.326)\n", + " 0\n", " \n", " \n", " 2\n", " 2\n", " POINT (221847.381 267926.950)\n", + " 0\n", " \n", " \n", " 3\n", " 3\n", " POINT (221406.647 268046.397)\n", + " 0\n", " \n", " \n", "\n", "
" ], "text/plain": [ - " id geometry\n", - "supply snapped \n", - "0 0 POINT (221677.280 268183.579)\n", - "1 1 POINT (221538.890 268184.326)\n", - "2 2 POINT (221847.381 267926.950)\n", - "3 3 POINT (221406.647 268046.397)" + " id geometry comp_label\n", + "supply snapped \n", + "0 0 POINT (221677.280 268183.579) 0\n", + "1 1 POINT (221538.890 268184.326) 0\n", + "2 2 POINT (221847.381 267926.950) 0\n", + "3 3 POINT (221406.647 268046.397) 0" ] }, "execution_count": 18, @@ -992,8 +998,8 @@ "execution_count": 19, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:54:09.733996Z", - "start_time": "2020-02-19T01:54:09.685215Z" + "end_time": "2020-02-23T21:43:38.769703Z", + "start_time": "2020-02-23T21:43:38.710657Z" } }, "outputs": [ @@ -1020,11 +1026,13 @@ " \n", " id\n", " geometry\n", + " comp_label\n", " \n", " \n", " demand snapped\n", " \n", " \n", + " \n", " \n", " \n", " \n", @@ -1032,33 +1040,37 @@ " 0\n", " 0\n", " POINT (221052.520 268129.805)\n", + " 0\n", " \n", " \n", " 1\n", " 1\n", " POINT (221525.970 267187.138)\n", + " 0\n", " \n", " \n", " 2\n", " 2\n", " POINT (220504.172 268087.247)\n", + " 0\n", " \n", " \n", " 3\n", " 3\n", " POINT (221292.004 267684.336)\n", + " 0\n", " \n", " \n", "\n", "
- - + +
Network Representation
" ], "text/plain": [ - " id geometry\n", - "demand snapped \n", - "0 0 POINT (221052.520 268129.805)\n", - "1 1 POINT (221525.970 267187.138)\n", - "2 2 POINT (220504.172 268087.247)\n", - "3 3 POINT (221292.004 267684.336)" + " id geometry comp_label\n", + "demand snapped \n", + "0 0 POINT (221052.520 268129.805) 0\n", + "1 1 POINT (221525.970 267187.138) 0\n", + "2 2 POINT (220504.172 268087.247) 0\n", + "3 3 POINT (221292.004 267684.336) 0" ] }, "execution_count": 19, @@ -1080,8 +1092,8 @@ "execution_count": 20, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:54:10.650413Z", - "start_time": "2020-02-19T01:54:09.738641Z" + "end_time": "2020-02-23T21:43:39.653402Z", + "start_time": "2020-02-23T21:43:38.773306Z" } }, "outputs": [ @@ -1135,8 +1147,8 @@ "execution_count": 21, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:54:11.465671Z", - "start_time": "2020-02-19T01:54:10.662992Z" + "end_time": "2020-02-23T21:43:40.414798Z", + "start_time": "2020-02-23T21:43:39.655611Z" } }, "outputs": [ @@ -1163,8 +1175,8 @@ "execution_count": 22, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:54:11.478829Z", - "start_time": "2020-02-19T01:54:11.468441Z" + "end_time": "2020-02-23T21:43:40.429448Z", + "start_time": "2020-02-23T21:43:40.418767Z" } }, "outputs": [ @@ -1204,8 +1216,8 @@ "execution_count": 23, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:54:11.499740Z", - "start_time": "2020-02-19T01:54:11.482246Z" + "end_time": "2020-02-23T21:43:40.463359Z", + "start_time": "2020-02-23T21:43:40.439359Z" } }, "outputs": [ @@ -1232,6 +1244,7 @@ " \n", " id\n", " geometry\n", + " comp_label\n", " dv\n", " s_i\n", " \n", @@ -1241,6 +1254,7 @@ " \n", " \n", " \n", + " \n", " \n", " \n", " \n", @@ -1248,6 +1262,7 @@ " 0\n", " 0\n", " POINT (221614.608 268182.322)\n", + " 0\n", " s_0\n", " 20\n", " \n", @@ -1255,6 +1270,7 @@ " 1\n", " 1\n", " POINT (221542.156 268184.287)\n", + " 0\n", " s_1\n", " 30\n", " \n", @@ -1262,6 +1278,7 @@ " 2\n", " 2\n", " POINT (221847.332 267982.491)\n", + " 0\n", " s_2\n", " 15\n", " \n", @@ -1269,6 +1286,7 @@ " 3\n", " 3\n", " POINT (221406.289 267990.060)\n", + " 0\n", " s_3\n", " 35\n", " \n", @@ -1277,12 +1295,12 @@ "
" ], "text/plain": [ - " id geometry dv s_i\n", - "supply \n", - "0 0 POINT (221614.608 268182.322) s_0 20\n", - "1 1 POINT (221542.156 268184.287) s_1 30\n", - "2 2 POINT (221847.332 267982.491) s_2 15\n", - "3 3 POINT (221406.289 267990.060) s_3 35" + " id geometry comp_label dv s_i\n", + "supply \n", + "0 0 POINT (221614.608 268182.322) 0 s_0 20\n", + "1 1 POINT (221542.156 268184.287) 0 s_1 30\n", + "2 2 POINT (221847.332 267982.491) 0 s_2 15\n", + "3 3 POINT (221406.289 267990.060) 0 s_3 35" ] }, "execution_count": 23, @@ -1308,8 +1326,8 @@ "execution_count": 24, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:54:11.523598Z", - "start_time": "2020-02-19T01:54:11.503909Z" + "end_time": "2020-02-23T21:43:40.495833Z", + "start_time": "2020-02-23T21:43:40.468511Z" } }, "outputs": [ @@ -1336,6 +1354,7 @@ " \n", " id\n", " geometry\n", + " comp_label\n", " dv\n", " d_j\n", " \n", @@ -1345,6 +1364,7 @@ " \n", " \n", " \n", + " \n", " \n", " \n", " \n", @@ -1352,6 +1372,7 @@ " 0\n", " 0\n", " POINT (221121.722 268130.726)\n", + " 0\n", " d_0\n", " 5\n", " \n", @@ -1359,6 +1380,7 @@ " 1\n", " 1\n", " POINT (221474.120 267187.725)\n", + " 0\n", " d_1\n", " 45\n", " \n", @@ -1366,6 +1388,7 @@ " 2\n", " 2\n", " POINT (220452.594 268086.776)\n", + " 0\n", " d_2\n", " 10\n", " \n", @@ -1373,6 +1396,7 @@ " 3\n", " 3\n", " POINT (221235.286 267684.289)\n", + " 0\n", " d_3\n", " 40\n", " \n", @@ -1381,12 +1405,12 @@ "" ], "text/plain": [ - " id geometry dv d_j\n", - "demand \n", - "0 0 POINT (221121.722 268130.726) d_0 5\n", - "1 1 POINT (221474.120 267187.725) d_1 45\n", - "2 2 POINT (220452.594 268086.776) d_2 10\n", - "3 3 POINT (221235.286 267684.289) d_3 40" + " id geometry comp_label dv d_j\n", + "demand \n", + "0 0 POINT (221121.722 268130.726) 0 d_0 5\n", + "1 1 POINT (221474.120 267187.725) 0 d_1 45\n", + "2 2 POINT (220452.594 268086.776) 0 d_2 10\n", + "3 3 POINT (221235.286 267684.289) 0 d_3 40" ] }, "execution_count": 24, @@ -1413,8 +1437,8 @@ "execution_count": 25, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:54:11.630152Z", - "start_time": "2020-02-19T01:54:11.526526Z" + "end_time": "2020-02-23T21:43:40.638031Z", + "start_time": "2020-02-23T21:43:40.500664Z" } }, "outputs": [ @@ -1451,8 +1475,8 @@ "execution_count": 26, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:54:11.643323Z", - "start_time": "2020-02-19T01:54:11.634312Z" + "end_time": "2020-02-23T21:43:40.653132Z", + "start_time": "2020-02-23T21:43:40.642842Z" } }, "outputs": [ @@ -1497,8 +1521,8 @@ "execution_count": 27, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:54:11.681757Z", - "start_time": "2020-02-19T01:54:11.652814Z" + "end_time": "2020-02-23T21:43:40.692469Z", + "start_time": "2020-02-23T21:43:40.658890Z" } }, "outputs": [ @@ -1601,8 +1625,8 @@ "execution_count": 28, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:54:11.722762Z", - "start_time": "2020-02-19T01:54:11.685828Z" + "end_time": "2020-02-23T21:43:40.757527Z", + "start_time": "2020-02-23T21:43:40.708471Z" } }, "outputs": [ @@ -1719,8 +1743,8 @@ "execution_count": 29, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:54:13.555190Z", - "start_time": "2020-02-19T01:54:11.727423Z" + "end_time": "2020-02-23T21:43:42.488802Z", + "start_time": "2020-02-23T21:43:40.760915Z" } }, "outputs": [ diff --git a/docsrc/notebooks/tsp.ipynb b/docsrc/notebooks/tsp.ipynb index cd9bef2a..0ba1f60c 100644 --- a/docsrc/notebooks/tsp.ipynb +++ b/docsrc/notebooks/tsp.ipynb @@ -27,8 +27,8 @@ "execution_count": 1, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:36:58.852841Z", - "start_time": "2020-02-19T01:36:58.615130Z" + "end_time": "2020-02-23T21:43:04.294106Z", + "start_time": "2020-02-23T21:43:04.010686Z" } }, "outputs": [ @@ -36,7 +36,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "2020-02-18T20:36:58-05:00\n", + "2020-02-23T16:43:04-05:00\n", "\n", "CPython 3.7.3\n", "IPython 7.10.2\n", @@ -61,8 +61,8 @@ "execution_count": 2, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:37:00.623591Z", - "start_time": "2020-02-19T01:36:58.857392Z" + "end_time": "2020-02-23T21:43:06.133438Z", + "start_time": "2020-02-23T21:43:04.297933Z" } }, "outputs": [ @@ -71,11 +71,11 @@ "output_type": "stream", "text": [ "watermark 2.0.2\n", - "pulp 1.6.8\n", - "numpy 1.17.3\n", "geopandas 0.6.2\n", "matplotlib_scalebar 0.6.1\n", - "spaghetti 1.4.1\n", + "pulp 1.6.8\n", + "spaghetti 1.4.2\n", + "numpy 1.17.3\n", "matplotlib 3.1.2\n", "\n" ] @@ -101,8 +101,8 @@ "execution_count": 3, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:37:00.646859Z", - "start_time": "2020-02-19T01:37:00.637306Z" + "end_time": "2020-02-23T21:43:06.151908Z", + "start_time": "2020-02-23T21:43:06.141226Z" } }, "outputs": [], @@ -174,8 +174,8 @@ "execution_count": 4, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:37:00.702423Z", - "start_time": "2020-02-19T01:37:00.660222Z" + "end_time": "2020-02-23T21:43:06.198480Z", + "start_time": "2020-02-23T21:43:06.156377Z" } }, "outputs": [], @@ -403,8 +403,8 @@ "execution_count": 5, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:37:01.068323Z", - "start_time": "2020-02-19T01:37:00.708534Z" + "end_time": "2020-02-23T21:43:06.584475Z", + "start_time": "2020-02-23T21:43:06.201824Z" } }, "outputs": [ @@ -502,8 +502,8 @@ "execution_count": 6, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:37:01.401804Z", - "start_time": "2020-02-19T01:37:01.072626Z" + "end_time": "2020-02-23T21:43:06.917536Z", + "start_time": "2020-02-23T21:43:06.591614Z" } }, "outputs": [ @@ -606,8 +606,8 @@ "execution_count": 7, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:37:01.429225Z", - "start_time": "2020-02-19T01:37:01.405647Z" + "end_time": "2020-02-23T21:43:06.947662Z", + "start_time": "2020-02-23T21:43:06.922273Z" } }, "outputs": [ @@ -774,8 +774,8 @@ "execution_count": 8, "metadata": { "ExecuteTime": { - 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267347.973) 0\n", + "1 1 POINT (222006.609 267316.693) 0\n", + "2 2 POINT (222006.401 267549.141) 0\n", + "3 3 POINT (221419.878 267804.150) 0\n", + "4 4 POINT (221410.853 267921.253) 0" ] }, "execution_count": 8, @@ -859,8 +865,8 @@ "execution_count": 9, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:37:01.961253Z", - "start_time": "2020-02-19T01:37:01.938220Z" + "end_time": "2020-02-23T21:43:07.446995Z", + "start_time": "2020-02-23T21:43:07.424919Z" } }, "outputs": [ @@ -955,8 +961,8 @@ "execution_count": 10, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:37:02.674387Z", - "start_time": "2020-02-19T01:37:01.967524Z" + "end_time": "2020-02-23T21:43:08.121042Z", + "start_time": "2020-02-23T21:43:07.450457Z" } }, "outputs": [ @@ -999,8 +1005,8 @@ "execution_count": 11, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:37:02.757062Z", - "start_time": "2020-02-19T01:37:02.681617Z" + "end_time": "2020-02-23T21:43:08.189713Z", + "start_time": 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(220961.989 267315.817) 0\n", + "3 3 POINT (220807.120 267386.436) 0\n", + "4 4 POINT (220796.691 267553.295) 0\n", + "5 5 POINT (221500.239 267683.152) 0\n", + "6 6 POINT (220508.266 267730.098) 0\n", + "7 7 POINT (221677.346 267804.368) 0\n", + "8 8 POINT (221154.251 267929.448) 0\n", + "9 9 POINT (221852.953 268042.291) 0\n", + "10 10 POINT (220806.533 268149.653) 0\n", + "11 11 POINT (220503.164 268197.759) 0\n", + "12 12 POINT (220499.316 268477.839) 0\n", + "13 13 POINT (222088.795 268590.984) 0" ] }, "execution_count": 11, @@ -1139,8 +1160,8 @@ "execution_count": 12, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:37:03.410605Z", - "start_time": "2020-02-19T01:37:02.761912Z" + "end_time": "2020-02-23T21:43:08.850729Z", + "start_time": "2020-02-23T21:43:08.197692Z" } }, "outputs": [ @@ -1183,8 +1204,8 @@ "execution_count": 13, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:37:04.238574Z", - "start_time": "2020-02-19T01:37:03.415352Z" + "end_time": "2020-02-23T21:43:09.999136Z", + "start_time": "2020-02-23T21:43:08.853813Z" } }, "outputs": [ @@ -1211,8 +1232,8 @@ "execution_count": 14, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:37:04.259480Z", - "start_time": "2020-02-19T01:37:04.242307Z" + "end_time": "2020-02-23T21:43:10.028197Z", + "start_time": "2020-02-23T21:43:10.009007Z" } }, "outputs": [ @@ -1252,8 +1273,8 @@ "execution_count": 15, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:37:04.295997Z", - "start_time": "2020-02-19T01:37:04.265302Z" + "end_time": "2020-02-23T21:43:10.065728Z", + "start_time": "2020-02-23T21:43:10.033463Z" } }, "outputs": [ @@ -1280,6 +1301,7 @@ " \n", " id\n", " geometry\n", + " comp_label\n", " dv\n", " \n", " \n", @@ -1288,84 +1310,98 @@ " 0\n", " 0\n", " POINT (221651.779 266962.433)\n", + " 0\n", " x_0\n", " \n", " \n", " 1\n", " 1\n", " POINT (220774.565 266967.614)\n", + " 0\n", " x_1\n", " \n", " \n", " 2\n", " 2\n", " POINT (220962.017 267280.644)\n", + " 0\n", " x_2\n", " \n", " \n", " 3\n", " 3\n", " POINT (220772.431 267386.410)\n", + " 0\n", " x_3\n", " \n", " \n", " 4\n", " 4\n", " POINT (220796.815 267545.820)\n", + " 0\n", " x_4\n", " \n", " \n", " 5\n", " 5\n", " POINT (221500.903 267697.915)\n", + " 0\n", " x_5\n", " \n", " \n", " 6\n", " 6\n", " POINT (220474.032 267730.529)\n", + " 0\n", " x_6\n", " \n", " \n", " 7\n", " 7\n", " POINT (221677.382 267761.314)\n", + " 0\n", " x_7\n", " \n", " \n", " 8\n", " 8\n", " POINT (221154.041 267919.810)\n", + " 0\n", " x_8\n", " \n", " \n", " 9\n", " 9\n", " POINT (221852.947 268049.045)\n", + " 0\n", " x_9\n", " \n", " \n", " 10\n", " 10\n", " POINT (220775.174 268149.629)\n", + " 0\n", " x_10\n", " \n", " \n", " 11\n", " 11\n", " POINT (220472.813 268197.482)\n", + " 0\n", " x_11\n", " \n", " \n", " 12\n", " 12\n", " POINT (220514.875 268478.203)\n", + " 0\n", " x_12\n", " \n", " \n", " 13\n", " 13\n", " POINT (222083.681 268590.979)\n", + " 0\n", " x_13\n", " \n", " \n", @@ -1373,21 +1409,21 @@ "" ], "text/plain": [ - " id geometry dv\n", - "0 0 POINT (221651.779 266962.433) x_0\n", - "1 1 POINT (220774.565 266967.614) x_1\n", - "2 2 POINT (220962.017 267280.644) x_2\n", - "3 3 POINT (220772.431 267386.410) x_3\n", - "4 4 POINT (220796.815 267545.820) x_4\n", - "5 5 POINT (221500.903 267697.915) x_5\n", - "6 6 POINT (220474.032 267730.529) x_6\n", - "7 7 POINT (221677.382 267761.314) x_7\n", - "8 8 POINT (221154.041 267919.810) x_8\n", - "9 9 POINT (221852.947 268049.045) x_9\n", - "10 10 POINT (220775.174 268149.629) x_10\n", - "11 11 POINT (220472.813 268197.482) x_11\n", - "12 12 POINT (220514.875 268478.203) x_12\n", - "13 13 POINT (222083.681 268590.979) x_13" + " id geometry comp_label dv\n", + "0 0 POINT (221651.779 266962.433) 0 x_0\n", + "1 1 POINT (220774.565 266967.614) 0 x_1\n", + "2 2 POINT (220962.017 267280.644) 0 x_2\n", + "3 3 POINT (220772.431 267386.410) 0 x_3\n", + "4 4 POINT (220796.815 267545.820) 0 x_4\n", + "5 5 POINT (221500.903 267697.915) 0 x_5\n", + "6 6 POINT (220474.032 267730.529) 0 x_6\n", + "7 7 POINT (221677.382 267761.314) 0 x_7\n", + "8 8 POINT (221154.041 267919.810) 0 x_8\n", + "9 9 POINT (221852.947 268049.045) 0 x_9\n", + "10 10 POINT (220775.174 268149.629) 0 x_10\n", + "11 11 POINT (220472.813 268197.482) 0 x_11\n", + "12 12 POINT (220514.875 268478.203) 0 x_12\n", + "13 13 POINT (222083.681 268590.979) 0 x_13" ] }, "execution_count": 15, @@ -1412,8 +1448,8 @@ "execution_count": 16, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:37:05.266426Z", - "start_time": "2020-02-19T01:37:04.300271Z" + "end_time": "2020-02-23T21:43:11.011144Z", + "start_time": "2020-02-23T21:43:10.074151Z" } }, "outputs": [ @@ -1455,8 +1491,8 @@ "execution_count": 17, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:37:05.342502Z", - "start_time": "2020-02-19T01:37:05.283214Z" + "end_time": "2020-02-23T21:43:11.086399Z", + "start_time": "2020-02-23T21:43:11.016051Z" } }, "outputs": [ @@ -1559,8 +1595,8 @@ "execution_count": 18, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:37:05.420647Z", - "start_time": "2020-02-19T01:37:05.347433Z" + "end_time": "2020-02-23T21:43:11.165751Z", + "start_time": "2020-02-23T21:43:11.092150Z" } }, "outputs": [ @@ -1668,8 +1704,8 @@ "execution_count": 19, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:37:05.441201Z", - "start_time": "2020-02-19T01:37:05.426232Z" + "end_time": "2020-02-23T21:43:11.190374Z", + "start_time": "2020-02-23T21:43:11.175921Z" } }, "outputs": [], @@ -1701,8 +1737,8 @@ "execution_count": 20, "metadata": { "ExecuteTime": { - "end_time": "2020-02-19T01:37:06.352647Z", - "start_time": "2020-02-19T01:37:05.446349Z" + "end_time": "2020-02-23T21:43:12.151144Z", + "start_time": "2020-02-23T21:43:11.193544Z" } }, "outputs": [ diff --git a/figs/pysal_logo.png b/figs/pysal_logo.png new file mode 100644 index 0000000000000000000000000000000000000000..500eeaee914d4fcef7c73136f5037e0592dbbe8b GIT binary patch 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z_rDtKi4#YLr~U5+Tk3d@(7*^sh!=;u1?^7U8yOc%1$z519PHV2?d`g25GlWn0p3;X HLuLO2YkKY* literal 0 HcmV?d00001 diff --git a/spaghetti/network.py b/spaghetti/network.py index 5c134bf5..679c7d17 100644 --- a/spaghetti/network.py +++ b/spaghetti/network.py @@ -2832,7 +2832,7 @@ def extract_component(net, component_id, weightings=None): Full network object. component_id : int The ID of the desired network component. - weightings : + weightings : {dict, bool} See the ``weightings`` keyword argument in ``spaghetti.Network``. Returns