From 348e39cc0cde40730b49436ebc9d3e336ebb59b9 Mon Sep 17 00:00:00 2001 From: Andy Hogg Date: Sat, 12 Oct 2024 21:36:08 +1100 Subject: [PATCH 1/4] Converting Hovmoller_Temperature_Depth to use intake catalogue --- Recipes/Hovmoller_Temperature_Depth.ipynb | 2106 ++++++++++++++++++++- 1 file changed, 2047 insertions(+), 59 deletions(-) diff --git a/Recipes/Hovmoller_Temperature_Depth.ipynb b/Recipes/Hovmoller_Temperature_Depth.ipynb index f25d7d60..efa69a85 100644 --- a/Recipes/Hovmoller_Temperature_Depth.ipynb +++ b/Recipes/Hovmoller_Temperature_Depth.ipynb @@ -11,14 +11,14 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "import xarray as xr\n", "import cf_xarray as cfxr\n", - "import cosima_cookbook as cc\n", + "import intake\n", "\n", "import matplotlib.pyplot as plt\n", "import matplotlib.dates as mdates\n", @@ -41,7 +41,7 @@ "
\n", "
\n", "

Client

\n", - "

Client-e249265c-38ed-11ef-8d22-000007a9fe80

\n", + "

Client-79908764-8879-11ef-975f-00000086fe80

\n", " \n", "\n", " \n", @@ -76,22 +76,22 @@ " \n", "
\n", "

LocalCluster

\n", - "

b7e38be2

\n", + "

e68998c3

\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", @@ -113,14 +113,14 @@ "
\n", "
\n", "

Scheduler

\n", - "

Scheduler-a16a2b99-5e31-4eaf-843d-e77908b71161

\n", + "

Scheduler-8c91b7f5-b517-4ea0-9619-109703c08fd0

\n", "
\n", " Dashboard: /proxy/8787/status\n", " \n", - " Workers: 4\n", + " Workers: 48\n", "
\n", - " Total threads: 28\n", + " Total threads: 48\n", " \n", - " Total memory: 112.00 GiB\n", + " Total memory: 188.56 GiB\n", "
\n", " \n", " \n", " \n", " \n", " \n", @@ -128,7 +128,7 @@ " Dashboard:/proxy/8787/status\n", " \n", " \n", " \n", " \n", @@ -136,7 +136,7 @@ " Started: Just now\n", " \n", " \n", " \n", "
\n", - " Comm: tcp://127.0.0.1:36651\n", + " Comm: tcp://127.0.0.1:37107\n", " \n", - " Workers: 4\n", + " Workers: 48\n", "
\n", - " Total threads: 28\n", + " Total threads: 48\n", "
\n", - " Total memory: 112.00 GiB\n", + " Total memory: 188.56 GiB\n", "
\n", @@ -159,29 +159,29 @@ " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -204,29 +204,29 @@ "
\n", - " Comm: tcp://127.0.0.1:34301\n", + " Comm: tcp://127.0.0.1:33599\n", " \n", - " Total threads: 7\n", + " Total threads: 1\n", "
\n", - " Dashboard: /proxy/43503/status\n", + " Dashboard: /proxy/40687/status\n", " \n", - " Memory: 28.00 GiB\n", + " Memory: 3.93 GiB\n", "
\n", - " Nanny: tcp://127.0.0.1:42521\n", + " Nanny: tcp://127.0.0.1:44349\n", "
\n", - " Local directory: /jobfs/119607168.gadi-pbs/dask-scratch-space/worker-qvqk9jdh\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-myx6mkq0\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -249,29 +249,29 @@ "
\n", - " Comm: tcp://127.0.0.1:35601\n", + " Comm: tcp://127.0.0.1:46025\n", " \n", - " Total threads: 7\n", + " Total threads: 1\n", "
\n", - " Dashboard: /proxy/39073/status\n", + " Dashboard: /proxy/44441/status\n", " \n", - " Memory: 28.00 GiB\n", + " Memory: 3.93 GiB\n", "
\n", - " Nanny: tcp://127.0.0.1:38089\n", + " Nanny: tcp://127.0.0.1:39107\n", "
\n", - " Local directory: /jobfs/119607168.gadi-pbs/dask-scratch-space/worker-lpge3gls\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-bvgvkb86\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -294,29 +294,2009 @@ "
\n", - " Comm: tcp://127.0.0.1:36043\n", + " Comm: tcp://127.0.0.1:44625\n", " \n", - " Total threads: 7\n", + " Total threads: 1\n", "
\n", - " Dashboard: /proxy/33325/status\n", + " Dashboard: /proxy/33345/status\n", " \n", - " Memory: 28.00 GiB\n", + " Memory: 3.93 GiB\n", "
\n", - " Nanny: tcp://127.0.0.1:46319\n", + " Nanny: tcp://127.0.0.1:34009\n", "
\n", - " Local directory: /jobfs/119607168.gadi-pbs/dask-scratch-space/worker-bf3wgi0p\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-g1ml0z9o\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + "\n", + " \n", + "\n", + " \n", + "\n", + "
\n", - " Comm: tcp://127.0.0.1:33371\n", + " Comm: tcp://127.0.0.1:42039\n", " \n", - " Total threads: 7\n", + " Total threads: 1\n", "
\n", - " Dashboard: /proxy/37795/status\n", + " Dashboard: /proxy/37483/status\n", " \n", - " Memory: 28.00 GiB\n", + " Memory: 3.93 GiB\n", "
\n", - " Nanny: tcp://127.0.0.1:39599\n", + " Nanny: tcp://127.0.0.1:36375\n", "
\n", - " Local directory: /jobfs/119607168.gadi-pbs/dask-scratch-space/worker-_04fetbm\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-mo0qzqg_\n", + "
\n", + " \n", + "
\n", + " \n", + " \n", + "
\n", + "
\n", + "
\n", + "
\n", + " \n", + "

Worker: 4

\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + "\n", + " \n", + "\n", + "
\n", + " Comm: tcp://127.0.0.1:41671\n", + " \n", + " Total threads: 1\n", + "
\n", + " Dashboard: /proxy/41519/status\n", + " \n", + " Memory: 3.93 GiB\n", + "
\n", + " Nanny: tcp://127.0.0.1:38985\n", + "
\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-fd5bupsk\n", + "
\n", + "
\n", + "
\n", + "
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\n", + "
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Worker: 5

\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + "\n", + " \n", + "\n", + "
\n", + " Comm: tcp://127.0.0.1:39417\n", + " \n", + " Total threads: 1\n", + "
\n", + " Dashboard: /proxy/38125/status\n", + " \n", + " Memory: 3.93 GiB\n", + "
\n", + " Nanny: tcp://127.0.0.1:45951\n", + "
\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-_4gkp491\n", + "
\n", + "
\n", + "
\n", + "
\n", + " \n", + "
\n", + "
\n", + "
\n", + "
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Worker: 6

\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + "\n", + " \n", + "\n", + "
\n", + " Comm: tcp://127.0.0.1:35397\n", + " \n", + " Total threads: 1\n", + "
\n", + " Dashboard: /proxy/41301/status\n", + " \n", + " Memory: 3.93 GiB\n", + "
\n", + " Nanny: tcp://127.0.0.1:43227\n", + "
\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-ecqzsowm\n", + "
\n", + "
\n", + "
\n", + "
\n", + " \n", + "
\n", + "
\n", + "
\n", + "
\n", + " \n", + "

Worker: 7

\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + "\n", + " \n", + "\n", + "
\n", + " Comm: tcp://127.0.0.1:45363\n", + " \n", + " Total threads: 1\n", + "
\n", + " Dashboard: /proxy/46803/status\n", + " \n", + " Memory: 3.93 GiB\n", + "
\n", + " Nanny: tcp://127.0.0.1:34615\n", + "
\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-_3a7vbfj\n", + "
\n", + "
\n", + "
\n", + "
\n", + " \n", + "
\n", + "
\n", + "
\n", + "
\n", + " \n", + "

Worker: 8

\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + "\n", + " \n", + "\n", + "
\n", + " Comm: tcp://127.0.0.1:44281\n", + " \n", + " Total threads: 1\n", + "
\n", + " Dashboard: /proxy/38657/status\n", + " \n", + " Memory: 3.93 GiB\n", + "
\n", + " Nanny: tcp://127.0.0.1:39379\n", + "
\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-s3vjtlr3\n", + "
\n", + "
\n", + "
\n", + "
\n", + " \n", + "
\n", + "
\n", + "
\n", + "
\n", + " \n", + "

Worker: 9

\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + "\n", + " \n", + "\n", + "
\n", + " Comm: tcp://127.0.0.1:35089\n", + " \n", + " Total threads: 1\n", + "
\n", + " Dashboard: /proxy/45079/status\n", + " \n", + " Memory: 3.93 GiB\n", + "
\n", + " Nanny: tcp://127.0.0.1:32955\n", + "
\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-gbtntlki\n", + "
\n", + "
\n", + "
\n", + "
\n", + " \n", + "
\n", + "
\n", + "
\n", + "
\n", + " \n", + "

Worker: 10

\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + "\n", + " \n", + "\n", + "
\n", + " Comm: tcp://127.0.0.1:44221\n", + " \n", + " Total threads: 1\n", + "
\n", + " Dashboard: /proxy/44581/status\n", + " \n", + " Memory: 3.93 GiB\n", + "
\n", + " Nanny: tcp://127.0.0.1:40405\n", + "
\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-ezkko1ak\n", + "
\n", + "
\n", + "
\n", + "
\n", + " \n", + "
\n", + "
\n", + "
\n", + "
\n", + " \n", + "

Worker: 11

\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + "\n", + " \n", + "\n", + "
\n", + " Comm: tcp://127.0.0.1:38023\n", + " \n", + " Total threads: 1\n", + "
\n", + " Dashboard: /proxy/42869/status\n", + " \n", + " Memory: 3.93 GiB\n", + "
\n", + " Nanny: tcp://127.0.0.1:37543\n", + "
\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-sr59mvl7\n", + "
\n", + "
\n", + "
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\n", + "
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Worker: 12

\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + "\n", + " \n", + "\n", + "
\n", + " Comm: tcp://127.0.0.1:35903\n", + " \n", + " Total threads: 1\n", + "
\n", + " Dashboard: /proxy/41011/status\n", + " \n", + " Memory: 3.93 GiB\n", + "
\n", + " Nanny: tcp://127.0.0.1:37627\n", + "
\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-gq48dzxl\n", + "
\n", + "
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Worker: 13

\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + "\n", + " \n", + "\n", + "
\n", + " Comm: tcp://127.0.0.1:40875\n", + " \n", + " Total threads: 1\n", + "
\n", + " Dashboard: /proxy/42557/status\n", + " \n", + " Memory: 3.93 GiB\n", + "
\n", + " Nanny: tcp://127.0.0.1:35413\n", + "
\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-zwh9i7h2\n", + "
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Worker: 14

\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + "\n", + " \n", + "\n", + "
\n", + " Comm: tcp://127.0.0.1:37237\n", + " \n", + " Total threads: 1\n", + "
\n", + " Dashboard: /proxy/33801/status\n", + " \n", + " Memory: 3.93 GiB\n", + "
\n", + " Nanny: tcp://127.0.0.1:42481\n", + "
\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-ukpeuuq8\n", + "
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Worker: 15

\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + "\n", + " \n", + "\n", + "
\n", + " Comm: tcp://127.0.0.1:38115\n", + " \n", + " Total threads: 1\n", + "
\n", + " Dashboard: /proxy/43879/status\n", + " \n", + " Memory: 3.93 GiB\n", + "
\n", + " Nanny: tcp://127.0.0.1:46633\n", + "
\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-ylsl9rf4\n", + "
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Worker: 16

\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + "\n", + " \n", + "\n", + "
\n", + " Comm: tcp://127.0.0.1:42263\n", + " \n", + " Total threads: 1\n", + "
\n", + " Dashboard: /proxy/36263/status\n", + " \n", + " Memory: 3.93 GiB\n", + "
\n", + " Nanny: tcp://127.0.0.1:36583\n", + "
\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-6jjnry8q\n", + "
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Worker: 17

\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + "\n", + " \n", + "\n", + "
\n", + " Comm: tcp://127.0.0.1:41245\n", + " \n", + " Total threads: 1\n", + "
\n", + " Dashboard: /proxy/39251/status\n", + " \n", + " Memory: 3.93 GiB\n", + "
\n", + " Nanny: tcp://127.0.0.1:32959\n", + "
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Worker: 18

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\n", + " Comm: tcp://127.0.0.1:43813\n", + " \n", + " Total threads: 1\n", + "
\n", + " Dashboard: /proxy/45863/status\n", + " \n", + " Memory: 3.93 GiB\n", + "
\n", + " Nanny: tcp://127.0.0.1:46123\n", + "
\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-6wimwpfw\n", + "
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Worker: 19

\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + "\n", + " \n", + "\n", + "
\n", + " Comm: tcp://127.0.0.1:37609\n", + " \n", + " Total threads: 1\n", + "
\n", + " Dashboard: /proxy/46659/status\n", + " \n", + " Memory: 3.93 GiB\n", + "
\n", + " Nanny: tcp://127.0.0.1:41009\n", + "
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Worker: 20

\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + "\n", + " \n", + "\n", + "
\n", + " Comm: tcp://127.0.0.1:40269\n", + " \n", + " Total threads: 1\n", + "
\n", + " Dashboard: /proxy/34459/status\n", + " \n", + " Memory: 3.93 GiB\n", + "
\n", + " Nanny: tcp://127.0.0.1:45517\n", + "
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Worker: 21

\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + "\n", + " \n", + "\n", + "
\n", + " Comm: tcp://127.0.0.1:40163\n", + " \n", + " Total threads: 1\n", + "
\n", + " Dashboard: /proxy/36559/status\n", + " \n", + " Memory: 3.93 GiB\n", + "
\n", + " Nanny: tcp://127.0.0.1:44821\n", + "
\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-_mdo0567\n", + "
\n", + "
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Worker: 22

\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + "\n", + " \n", + "\n", + "
\n", + " Comm: tcp://127.0.0.1:34215\n", + " \n", + " Total threads: 1\n", + "
\n", + " Dashboard: /proxy/40521/status\n", + " \n", + " Memory: 3.93 GiB\n", + "
\n", + " Nanny: tcp://127.0.0.1:46695\n", + "
\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-krkqa1y2\n", + "
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Worker: 23

\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + "\n", + " \n", + "\n", + "
\n", + " Comm: tcp://127.0.0.1:44599\n", + " \n", + " Total threads: 1\n", + "
\n", + " Dashboard: /proxy/41229/status\n", + " \n", + " Memory: 3.93 GiB\n", + "
\n", + " Nanny: tcp://127.0.0.1:45375\n", + "
\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-8xcej_fy\n", + "
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Worker: 24

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\n", + " Comm: tcp://127.0.0.1:36833\n", + " \n", + " Total threads: 1\n", + "
\n", + " Dashboard: /proxy/45685/status\n", + " \n", + " Memory: 3.93 GiB\n", + "
\n", + " Nanny: tcp://127.0.0.1:40839\n", + "
\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-t_2_86gy\n", + "
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Worker: 25

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\n", + " Comm: tcp://127.0.0.1:43495\n", + " \n", + " Total threads: 1\n", + "
\n", + " Dashboard: /proxy/45821/status\n", + " \n", + " Memory: 3.93 GiB\n", + "
\n", + " Nanny: tcp://127.0.0.1:36787\n", + "
\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-b_n5_b4y\n", + "
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Worker: 26

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\n", + " Comm: tcp://127.0.0.1:35287\n", + " \n", + " Total threads: 1\n", + "
\n", + " Dashboard: /proxy/45017/status\n", + " \n", + " Memory: 3.93 GiB\n", + "
\n", + " Nanny: tcp://127.0.0.1:38067\n", + "
\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-zj_tqx61\n", + "
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Worker: 27

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\n", + " Comm: tcp://127.0.0.1:35731\n", + " \n", + " Total threads: 1\n", + "
\n", + " Dashboard: /proxy/37829/status\n", + " \n", + " Memory: 3.93 GiB\n", + "
\n", + " Nanny: tcp://127.0.0.1:33557\n", + "
\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-rru5_yo3\n", + "
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Worker: 28

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\n", + " Comm: tcp://127.0.0.1:36363\n", + " \n", + " Total threads: 1\n", + "
\n", + " Dashboard: /proxy/37747/status\n", + " \n", + " Memory: 3.93 GiB\n", + "
\n", + " Nanny: tcp://127.0.0.1:36679\n", + "
\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-86z602jl\n", + "
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Worker: 29

\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + "\n", + " \n", + "\n", + "
\n", + " Comm: tcp://127.0.0.1:44503\n", + " \n", + " Total threads: 1\n", + "
\n", + " Dashboard: /proxy/35687/status\n", + " \n", + " Memory: 3.93 GiB\n", + "
\n", + " Nanny: tcp://127.0.0.1:45115\n", + "
\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-ap3ihw4c\n", + "
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Worker: 30

\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + "\n", + " \n", + "\n", + "
\n", + " Comm: tcp://127.0.0.1:46547\n", + " \n", + " Total threads: 1\n", + "
\n", + " Dashboard: /proxy/46009/status\n", + " \n", + " Memory: 3.93 GiB\n", + "
\n", + " Nanny: tcp://127.0.0.1:34525\n", + "
\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-yijpqsq8\n", + "
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Worker: 31

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\n", + " Comm: tcp://127.0.0.1:39165\n", + " \n", + " Total threads: 1\n", + "
\n", + " Dashboard: /proxy/42643/status\n", + " \n", + " Memory: 3.93 GiB\n", + "
\n", + " Nanny: tcp://127.0.0.1:38139\n", + "
\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-5kvtf51n\n", + "
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Worker: 32

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\n", + " Comm: tcp://127.0.0.1:37439\n", + " \n", + " Total threads: 1\n", + "
\n", + " Dashboard: /proxy/41513/status\n", + " \n", + " Memory: 3.93 GiB\n", + "
\n", + " Nanny: tcp://127.0.0.1:42287\n", + "
\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-cb9ksrv5\n", + "
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Worker: 33

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\n", + " Comm: tcp://127.0.0.1:33855\n", + " \n", + " Total threads: 1\n", + "
\n", + " Dashboard: /proxy/46543/status\n", + " \n", + " Memory: 3.93 GiB\n", + "
\n", + " Nanny: tcp://127.0.0.1:36861\n", + "
\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-2dsb4lkf\n", + "
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Worker: 34

\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + "\n", + " \n", + "\n", + "
\n", + " Comm: tcp://127.0.0.1:42883\n", + " \n", + " Total threads: 1\n", + "
\n", + " Dashboard: /proxy/38015/status\n", + " \n", + " Memory: 3.93 GiB\n", + "
\n", + " Nanny: tcp://127.0.0.1:34897\n", + "
\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-i21y3804\n", + "
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Worker: 35

\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + "\n", + " \n", + "\n", + "
\n", + " Comm: tcp://127.0.0.1:36899\n", + " \n", + " Total threads: 1\n", + "
\n", + " Dashboard: /proxy/45157/status\n", + " \n", + " Memory: 3.93 GiB\n", + "
\n", + " Nanny: tcp://127.0.0.1:39277\n", + "
\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-pbkt_fl6\n", + "
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Worker: 36

\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + "\n", + " \n", + "\n", + "
\n", + " Comm: tcp://127.0.0.1:46661\n", + " \n", + " Total threads: 1\n", + "
\n", + " Dashboard: /proxy/40193/status\n", + " \n", + " Memory: 3.93 GiB\n", + "
\n", + " Nanny: tcp://127.0.0.1:40083\n", + "
\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-rjl982o2\n", + "
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Worker: 37

\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + "\n", + " \n", + "\n", + "
\n", + " Comm: tcp://127.0.0.1:33277\n", + " \n", + " Total threads: 1\n", + "
\n", + " Dashboard: /proxy/40593/status\n", + " \n", + " Memory: 3.93 GiB\n", + "
\n", + " Nanny: tcp://127.0.0.1:33357\n", + "
\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-eyvbvwc1\n", + "
\n", + "
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Worker: 38

\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + "\n", + " \n", + "\n", + "
\n", + " Comm: tcp://127.0.0.1:35387\n", + " \n", + " Total threads: 1\n", + "
\n", + " Dashboard: /proxy/37801/status\n", + " \n", + " Memory: 3.93 GiB\n", + "
\n", + " Nanny: tcp://127.0.0.1:42547\n", + "
\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-plfbx5_6\n", + "
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Worker: 39

\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + "\n", + " \n", + "\n", + "
\n", + " Comm: tcp://127.0.0.1:37569\n", + " \n", + " Total threads: 1\n", + "
\n", + " Dashboard: /proxy/37649/status\n", + " \n", + " Memory: 3.93 GiB\n", + "
\n", + " Nanny: tcp://127.0.0.1:40463\n", + "
\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-hmwm1xdn\n", + "
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Worker: 40

\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + "\n", + " \n", + "\n", + "
\n", + " Comm: tcp://127.0.0.1:38117\n", + " \n", + " Total threads: 1\n", + "
\n", + " Dashboard: /proxy/39295/status\n", + " \n", + " Memory: 3.93 GiB\n", + "
\n", + " Nanny: tcp://127.0.0.1:39753\n", + "
\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-f5n24o_n\n", + "
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Worker: 41

\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + "\n", + " \n", + "\n", + "
\n", + " Comm: tcp://127.0.0.1:37101\n", + " \n", + " Total threads: 1\n", + "
\n", + " Dashboard: /proxy/34773/status\n", + " \n", + " Memory: 3.93 GiB\n", + "
\n", + " Nanny: tcp://127.0.0.1:40449\n", + "
\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-46428i0_\n", + "
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Worker: 42

\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + "\n", + " \n", + "\n", + "
\n", + " Comm: tcp://127.0.0.1:33179\n", + " \n", + " Total threads: 1\n", + "
\n", + " Dashboard: /proxy/44151/status\n", + " \n", + " Memory: 3.93 GiB\n", + "
\n", + " Nanny: tcp://127.0.0.1:38351\n", + "
\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-rv9q_fam\n", + "
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Worker: 43

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\n", + " Comm: tcp://127.0.0.1:43395\n", + " \n", + " Total threads: 1\n", + "
\n", + " Dashboard: /proxy/43297/status\n", + " \n", + " Memory: 3.93 GiB\n", + "
\n", + " Nanny: tcp://127.0.0.1:36249\n", + "
\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-ckedra_b\n", + "
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Worker: 44

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\n", + " Comm: tcp://127.0.0.1:36153\n", + " \n", + " Total threads: 1\n", + "
\n", + " Dashboard: /proxy/43193/status\n", + " \n", + " Memory: 3.93 GiB\n", + "
\n", + " Nanny: tcp://127.0.0.1:35665\n", + "
\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-9xdod96d\n", + "
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Worker: 45

\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + "\n", + " \n", + "\n", + "
\n", + " Comm: tcp://127.0.0.1:44385\n", + " \n", + " Total threads: 1\n", + "
\n", + " Dashboard: /proxy/34921/status\n", + " \n", + " Memory: 3.93 GiB\n", + "
\n", + " Nanny: tcp://127.0.0.1:37265\n", + "
\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-3gk37jvc\n", + "
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Worker: 46

\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + "\n", + " \n", + "\n", + "
\n", + " Comm: tcp://127.0.0.1:37211\n", + " \n", + " Total threads: 1\n", + "
\n", + " Dashboard: /proxy/37803/status\n", + " \n", + " Memory: 3.93 GiB\n", + "
\n", + " Nanny: tcp://127.0.0.1:41049\n", + "
\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-y5bgnb25\n", + "
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Worker: 47

\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", "\n", @@ -343,7 +2323,7 @@ "" ], "text/plain": [ - "" + "" ] }, "execution_count": 2, @@ -352,36 +2332,36 @@ } ], "source": [ - "client = Client(n_workers = 4)\n", + "client = Client(threads_per_worker=1)\n", "client" ] }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 30, "metadata": {}, "outputs": [], "source": [ - "session = cc.database.create_session()\n", + "catalog = intake.cat.access_nri\n", "\n", - "experiment = '1deg_jra55_iaf_omip2_cycle6' # 1-deg experiment\n", + "experiment = '1deg_jra55_iaf_omip2_cycle1' # 1-deg experiment\n", "\n", "start_time, end_time = '1989-01-01', '2018-12-31'" ] }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 37, "metadata": {}, "outputs": [], "source": [ "def load_var(experiment, variable, frequency, start_time, end_time):\n", - "\n", - " var = cc.querying.getvar(experiment, variable, session,\n", - " frequency = frequency, \n", - " start_time = start_time,\n", - " end_time = end_time,\n", - " chunks={})\n", + " cat_subset = catalog.search(name = experiment)\n", + " var = cat_subset[experiment].search(\n", + " variable = variable,frequency = frequency,variable_cell_methods='time: mean'\n", + " ).to_dask(xarray_open_kwargs=dict(use_cftime=True,chunks={}),\n", + " xarray_combine_by_coords_kwargs=dict(compat=\"override\",data_vars=\"minimal\",coords=\"minimal\")\n", + " )[variable]\n", "\n", " var = var.sel(time=slice(start_time, end_time))\n", "\n", @@ -401,13 +2381,13 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 38, "metadata": {}, "outputs": [], "source": [ "## Loading the variables\n", - "temperature = load_var(experiment, 'temp', '1 monthly', start_time, end_time)\n", - "salinity = load_var(experiment, 'salt', '1 monthly', start_time, end_time)" + "temperature = load_var(experiment, 'temp', '1mon', start_time, end_time)\n", + "salinity = load_var(experiment, 'salt', '1mon', start_time, end_time)" ] }, { @@ -419,7 +2399,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 39, "metadata": {}, "outputs": [], "source": [ @@ -444,12 +2424,13 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 40, "metadata": {}, "outputs": [], "source": [ - "dxt = cc.querying.getvar(experiment, 'dxt', session, frequency='static', n = 1)\n", - "dyt = cc.querying.getvar(experiment, 'dyt', session, frequency='static', n = 1)\n", + "cat_subset = catalog.search(name = experiment)\n", + "dxt = cat_subset[experiment].search(variable = 'dxt',frequency = 'fx',path=\".*output000.*\").to_dask()['dxt']\n", + "dyt = cat_subset[experiment].search(variable = 'dyt',frequency = 'fx',path=\".*output000.*\").to_dask()['dyt']\n", "cell_area = dxt * dyt\n", "\n", "total_area = cell_area.cf.sum({'longitude', 'latitude'})" @@ -466,7 +2447,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 41, "metadata": {}, "outputs": [], "source": [ @@ -481,7 +2462,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 42, "metadata": {}, "outputs": [], "source": [ @@ -511,12 +2492,12 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 43, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -575,6 +2556,13 @@ " cbar[i].locator = tick_locator\n", " cbar[i].update_ticks()" ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { From 6fda2b7649d2039ec0e7c27600af7df23538fc0c Mon Sep 17 00:00:00 2001 From: Andy Hogg Date: Sat, 12 Oct 2024 21:51:48 +1100 Subject: [PATCH 2/4] Altering Hovmoller_Temperture_Depth to fix bug in cell area with depth --- Recipes/Hovmoller_Temperature_Depth.ipynb | 894 ++++++++++++++++------ 1 file changed, 679 insertions(+), 215 deletions(-) diff --git a/Recipes/Hovmoller_Temperature_Depth.ipynb b/Recipes/Hovmoller_Temperature_Depth.ipynb index efa69a85..8f28bc19 100644 --- a/Recipes/Hovmoller_Temperature_Depth.ipynb +++ b/Recipes/Hovmoller_Temperature_Depth.ipynb @@ -11,7 +11,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -41,7 +41,7 @@ "
\n", "
\n", "

Client

\n", - "

Client-79908764-8879-11ef-975f-00000086fe80

\n", + "

Client-0e64dd28-8886-11ef-aa27-00000086fe80

\n", "
\n", + " Comm: tcp://127.0.0.1:35751\n", + " \n", + " Total threads: 1\n", + "
\n", + " Dashboard: /proxy/43885/status\n", + " \n", + " Memory: 3.93 GiB\n", + "
\n", + " Nanny: tcp://127.0.0.1:46463\n", + "
\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-35tkxtlp\n", "
\n", "\n", " \n", @@ -76,7 +76,7 @@ " \n", "
\n", "

LocalCluster

\n", - "

e68998c3

\n", + "

d6b506ef

\n", "
\n", " \n", "
\n", @@ -113,11 +113,11 @@ "
\n", "
\n", "

Scheduler

\n", - "

Scheduler-8c91b7f5-b517-4ea0-9619-109703c08fd0

\n", + "

Scheduler-29838b27-8edf-49d3-b28d-25286677b724

\n", " \n", " \n", " \n", "
\n", - " Comm: tcp://127.0.0.1:37107\n", + " Comm: tcp://127.0.0.1:35241\n", " \n", " Workers: 48\n", @@ -159,7 +159,7 @@ " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -204,7 +204,7 @@ "
\n", - " Comm: tcp://127.0.0.1:33599\n", + " Comm: tcp://127.0.0.1:38145\n", " \n", " Total threads: 1\n", @@ -167,7 +167,7 @@ "
\n", - " Dashboard: /proxy/40687/status\n", + " Dashboard: /proxy/42553/status\n", " \n", " Memory: 3.93 GiB\n", @@ -175,13 +175,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:44349\n", + " Nanny: tcp://127.0.0.1:43035\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-myx6mkq0\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-k_me1cu9\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -249,7 +249,7 @@ "
\n", - " Comm: tcp://127.0.0.1:46025\n", + " Comm: tcp://127.0.0.1:45771\n", " \n", " Total threads: 1\n", @@ -212,7 +212,7 @@ "
\n", - " Dashboard: /proxy/44441/status\n", + " Dashboard: /proxy/40929/status\n", " \n", " Memory: 3.93 GiB\n", @@ -220,13 +220,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:39107\n", + " Nanny: tcp://127.0.0.1:38087\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-bvgvkb86\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-26mtjcda\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -294,7 +294,7 @@ "
\n", - " Comm: tcp://127.0.0.1:44625\n", + " Comm: tcp://127.0.0.1:33475\n", " \n", " Total threads: 1\n", @@ -257,7 +257,7 @@ "
\n", - " Dashboard: /proxy/33345/status\n", + " Dashboard: /proxy/42339/status\n", " \n", " Memory: 3.93 GiB\n", @@ -265,13 +265,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:34009\n", + " Nanny: tcp://127.0.0.1:43229\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-g1ml0z9o\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-l5wgcj1s\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -339,7 +339,7 @@ "
\n", - " Comm: tcp://127.0.0.1:42039\n", + " Comm: tcp://127.0.0.1:41451\n", " \n", " Total threads: 1\n", @@ -302,7 +302,7 @@ "
\n", - " Dashboard: /proxy/37483/status\n", + " Dashboard: /proxy/45793/status\n", " \n", " Memory: 3.93 GiB\n", @@ -310,13 +310,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:36375\n", + " Nanny: tcp://127.0.0.1:46305\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-mo0qzqg_\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-20olxizg\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -384,7 +384,7 @@ "
\n", - " Comm: tcp://127.0.0.1:41671\n", + " Comm: tcp://127.0.0.1:40311\n", " \n", " Total threads: 1\n", @@ -347,7 +347,7 @@ "
\n", - " Dashboard: /proxy/41519/status\n", + " Dashboard: /proxy/45837/status\n", " \n", " Memory: 3.93 GiB\n", @@ -355,13 +355,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:38985\n", + " Nanny: tcp://127.0.0.1:36461\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-fd5bupsk\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-8ivquho1\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -429,7 +429,7 @@ "
\n", - " Comm: tcp://127.0.0.1:39417\n", + " Comm: tcp://127.0.0.1:40739\n", " \n", " Total threads: 1\n", @@ -392,7 +392,7 @@ "
\n", - " Dashboard: /proxy/38125/status\n", + " Dashboard: /proxy/39143/status\n", " \n", " Memory: 3.93 GiB\n", @@ -400,13 +400,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:45951\n", + " Nanny: tcp://127.0.0.1:42559\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-_4gkp491\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-26b7_rwo\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -474,7 +474,7 @@ "
\n", - " Comm: tcp://127.0.0.1:35397\n", + " Comm: tcp://127.0.0.1:43025\n", " \n", " Total threads: 1\n", @@ -437,7 +437,7 @@ "
\n", - " Dashboard: /proxy/41301/status\n", + " Dashboard: /proxy/37479/status\n", " \n", " Memory: 3.93 GiB\n", @@ -445,13 +445,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:43227\n", + " Nanny: tcp://127.0.0.1:41187\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-ecqzsowm\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-9mxiskob\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -519,7 +519,7 @@ "
\n", - " Comm: tcp://127.0.0.1:45363\n", + " Comm: tcp://127.0.0.1:45601\n", " \n", " Total threads: 1\n", @@ -482,7 +482,7 @@ "
\n", - " Dashboard: /proxy/46803/status\n", + " Dashboard: /proxy/34179/status\n", " \n", " Memory: 3.93 GiB\n", @@ -490,13 +490,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:34615\n", + " Nanny: tcp://127.0.0.1:35011\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-_3a7vbfj\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-sz_ev052\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -564,7 +564,7 @@ "
\n", - " Comm: tcp://127.0.0.1:44281\n", + " Comm: tcp://127.0.0.1:33139\n", " \n", " Total threads: 1\n", @@ -527,7 +527,7 @@ "
\n", - " Dashboard: /proxy/38657/status\n", + " Dashboard: /proxy/45075/status\n", " \n", " Memory: 3.93 GiB\n", @@ -535,13 +535,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:39379\n", + " Nanny: tcp://127.0.0.1:46405\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-s3vjtlr3\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-p_yh1fpn\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -609,7 +609,7 @@ "
\n", - " Comm: tcp://127.0.0.1:35089\n", + " Comm: tcp://127.0.0.1:36183\n", " \n", " Total threads: 1\n", @@ -572,7 +572,7 @@ "
\n", - " Dashboard: /proxy/45079/status\n", + " Dashboard: /proxy/42945/status\n", " \n", " Memory: 3.93 GiB\n", @@ -580,13 +580,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:32955\n", + " Nanny: tcp://127.0.0.1:45733\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-gbtntlki\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-imymr0u8\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -654,7 +654,7 @@ "
\n", - " Comm: tcp://127.0.0.1:44221\n", + " Comm: tcp://127.0.0.1:44527\n", " \n", " Total threads: 1\n", @@ -617,7 +617,7 @@ "
\n", - " Dashboard: /proxy/44581/status\n", + " Dashboard: /proxy/39789/status\n", " \n", " Memory: 3.93 GiB\n", @@ -625,13 +625,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:40405\n", + " Nanny: tcp://127.0.0.1:38665\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-ezkko1ak\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-5ugavpe8\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -699,7 +699,7 @@ "
\n", - " Comm: tcp://127.0.0.1:38023\n", + " Comm: tcp://127.0.0.1:36969\n", " \n", " Total threads: 1\n", @@ -662,7 +662,7 @@ "
\n", - " Dashboard: /proxy/42869/status\n", + " Dashboard: /proxy/38679/status\n", " \n", " Memory: 3.93 GiB\n", @@ -670,13 +670,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:37543\n", + " Nanny: tcp://127.0.0.1:41845\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-sr59mvl7\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-d2v44abo\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -744,7 +744,7 @@ "
\n", - " Comm: tcp://127.0.0.1:35903\n", + " Comm: tcp://127.0.0.1:43855\n", " \n", " Total threads: 1\n", @@ -707,7 +707,7 @@ "
\n", - " Dashboard: /proxy/41011/status\n", + " Dashboard: /proxy/40959/status\n", " \n", " Memory: 3.93 GiB\n", @@ -715,13 +715,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:37627\n", + " Nanny: tcp://127.0.0.1:46367\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-gq48dzxl\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-9azdxdui\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -789,7 +789,7 @@ "
\n", - " Comm: tcp://127.0.0.1:40875\n", + " Comm: tcp://127.0.0.1:38551\n", " \n", " Total threads: 1\n", @@ -752,7 +752,7 @@ "
\n", - " Dashboard: /proxy/42557/status\n", + " Dashboard: /proxy/41279/status\n", " \n", " Memory: 3.93 GiB\n", @@ -760,13 +760,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:35413\n", + " Nanny: tcp://127.0.0.1:36019\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-zwh9i7h2\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-3m6ul8jx\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -834,7 +834,7 @@ "
\n", - " Comm: tcp://127.0.0.1:37237\n", + " Comm: tcp://127.0.0.1:34009\n", " \n", " Total threads: 1\n", @@ -797,7 +797,7 @@ "
\n", - " Dashboard: /proxy/33801/status\n", + " Dashboard: /proxy/42497/status\n", " \n", " Memory: 3.93 GiB\n", @@ -805,13 +805,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:42481\n", + " Nanny: tcp://127.0.0.1:43533\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-ukpeuuq8\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-p8icrav0\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -879,7 +879,7 @@ "
\n", - " Comm: tcp://127.0.0.1:38115\n", + " Comm: tcp://127.0.0.1:37931\n", " \n", " Total threads: 1\n", @@ -842,7 +842,7 @@ "
\n", - " Dashboard: /proxy/43879/status\n", + " Dashboard: /proxy/34499/status\n", " \n", " Memory: 3.93 GiB\n", @@ -850,13 +850,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:46633\n", + " Nanny: tcp://127.0.0.1:41833\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-ylsl9rf4\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-7l7hmdep\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -924,7 +924,7 @@ "
\n", - " Comm: tcp://127.0.0.1:42263\n", + " Comm: tcp://127.0.0.1:46369\n", " \n", " Total threads: 1\n", @@ -887,7 +887,7 @@ "
\n", - " Dashboard: /proxy/36263/status\n", + " Dashboard: /proxy/35259/status\n", " \n", " Memory: 3.93 GiB\n", @@ -895,13 +895,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:36583\n", + " Nanny: tcp://127.0.0.1:44967\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-6jjnry8q\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-iqkctgqm\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -969,7 +969,7 @@ "
\n", - " Comm: tcp://127.0.0.1:41245\n", + " Comm: tcp://127.0.0.1:46437\n", " \n", " Total threads: 1\n", @@ -932,7 +932,7 @@ "
\n", - " Dashboard: /proxy/39251/status\n", + " Dashboard: /proxy/40233/status\n", " \n", " Memory: 3.93 GiB\n", @@ -940,13 +940,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:32959\n", + " Nanny: tcp://127.0.0.1:33029\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-fb8gyea8\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-ifx2qgdx\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1014,7 +1014,7 @@ "
\n", - " Comm: tcp://127.0.0.1:43813\n", + " Comm: tcp://127.0.0.1:34933\n", " \n", " Total threads: 1\n", @@ -977,7 +977,7 @@ "
\n", - " Dashboard: /proxy/45863/status\n", + " Dashboard: /proxy/33141/status\n", " \n", " Memory: 3.93 GiB\n", @@ -985,13 +985,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:46123\n", + " Nanny: tcp://127.0.0.1:40119\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-6wimwpfw\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-sppdn_hf\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1059,7 +1059,7 @@ "
\n", - " Comm: tcp://127.0.0.1:37609\n", + " Comm: tcp://127.0.0.1:37231\n", " \n", " Total threads: 1\n", @@ -1022,7 +1022,7 @@ "
\n", - " Dashboard: /proxy/46659/status\n", + " Dashboard: /proxy/37593/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1030,13 +1030,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:41009\n", + " Nanny: tcp://127.0.0.1:38955\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-mxkag_vv\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-75lnwly4\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1104,7 +1104,7 @@ "
\n", - " Comm: tcp://127.0.0.1:40269\n", + " Comm: tcp://127.0.0.1:40635\n", " \n", " Total threads: 1\n", @@ -1067,7 +1067,7 @@ "
\n", - " Dashboard: /proxy/34459/status\n", + " Dashboard: /proxy/40109/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1075,13 +1075,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:45517\n", + " Nanny: tcp://127.0.0.1:36693\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-qm7w1k13\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-szc9t0oy\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1149,7 +1149,7 @@ "
\n", - " Comm: tcp://127.0.0.1:40163\n", + " Comm: tcp://127.0.0.1:41825\n", " \n", " Total threads: 1\n", @@ -1112,7 +1112,7 @@ "
\n", - " Dashboard: /proxy/36559/status\n", + " Dashboard: /proxy/38737/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1120,13 +1120,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:44821\n", + " Nanny: tcp://127.0.0.1:40925\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-_mdo0567\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-piv5tu8h\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1194,7 +1194,7 @@ "
\n", - " Comm: tcp://127.0.0.1:34215\n", + " Comm: tcp://127.0.0.1:41027\n", " \n", " Total threads: 1\n", @@ -1157,7 +1157,7 @@ "
\n", - " Dashboard: /proxy/40521/status\n", + " Dashboard: /proxy/45213/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1165,13 +1165,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:46695\n", + " Nanny: tcp://127.0.0.1:40815\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-krkqa1y2\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-oqsp_zqr\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1239,7 +1239,7 @@ "
\n", - " Comm: tcp://127.0.0.1:44599\n", + " Comm: tcp://127.0.0.1:43801\n", " \n", " Total threads: 1\n", @@ -1202,7 +1202,7 @@ "
\n", - " Dashboard: /proxy/41229/status\n", + " Dashboard: /proxy/41427/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1210,13 +1210,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:45375\n", + " Nanny: tcp://127.0.0.1:39191\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-8xcej_fy\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-h0dtym5_\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1284,7 +1284,7 @@ "
\n", - " Comm: tcp://127.0.0.1:36833\n", + " Comm: tcp://127.0.0.1:33653\n", " \n", " Total threads: 1\n", @@ -1247,7 +1247,7 @@ "
\n", - " Dashboard: /proxy/45685/status\n", + " Dashboard: /proxy/32789/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1255,13 +1255,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:40839\n", + " Nanny: tcp://127.0.0.1:33831\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-t_2_86gy\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-_66va7bt\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1329,7 +1329,7 @@ "
\n", - " Comm: tcp://127.0.0.1:43495\n", + " Comm: tcp://127.0.0.1:44127\n", " \n", " Total threads: 1\n", @@ -1292,7 +1292,7 @@ "
\n", - " Dashboard: /proxy/45821/status\n", + " Dashboard: /proxy/43603/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1300,13 +1300,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:36787\n", + " Nanny: tcp://127.0.0.1:41047\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-b_n5_b4y\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-uws36c1e\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1374,7 +1374,7 @@ "
\n", - " Comm: tcp://127.0.0.1:35287\n", + " Comm: tcp://127.0.0.1:38369\n", " \n", " Total threads: 1\n", @@ -1337,7 +1337,7 @@ "
\n", - " Dashboard: /proxy/45017/status\n", + " Dashboard: /proxy/46417/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1345,13 +1345,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:38067\n", + " Nanny: tcp://127.0.0.1:36599\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-zj_tqx61\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-mjwzzk8f\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1419,7 +1419,7 @@ "
\n", - " Comm: tcp://127.0.0.1:35731\n", + " Comm: tcp://127.0.0.1:34841\n", " \n", " Total threads: 1\n", @@ -1382,7 +1382,7 @@ "
\n", - " Dashboard: /proxy/37829/status\n", + " Dashboard: /proxy/35697/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1390,13 +1390,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:33557\n", + " Nanny: tcp://127.0.0.1:44595\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-rru5_yo3\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-jkdp6z3e\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1464,7 +1464,7 @@ "
\n", - " Comm: tcp://127.0.0.1:36363\n", + " Comm: tcp://127.0.0.1:35577\n", " \n", " Total threads: 1\n", @@ -1427,7 +1427,7 @@ "
\n", - " Dashboard: /proxy/37747/status\n", + " Dashboard: /proxy/40423/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1435,13 +1435,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:36679\n", + " Nanny: tcp://127.0.0.1:45223\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-86z602jl\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-h3srb697\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1509,7 +1509,7 @@ "
\n", - " Comm: tcp://127.0.0.1:44503\n", + " Comm: tcp://127.0.0.1:40185\n", " \n", " Total threads: 1\n", @@ -1472,7 +1472,7 @@ "
\n", - " Dashboard: /proxy/35687/status\n", + " Dashboard: /proxy/33279/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1480,13 +1480,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:45115\n", + " Nanny: tcp://127.0.0.1:35159\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-ap3ihw4c\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-mbr5achw\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1554,7 +1554,7 @@ "
\n", - " Comm: tcp://127.0.0.1:46547\n", + " Comm: tcp://127.0.0.1:40069\n", " \n", " Total threads: 1\n", @@ -1517,7 +1517,7 @@ "
\n", - " Dashboard: /proxy/46009/status\n", + " Dashboard: /proxy/46183/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1525,13 +1525,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:34525\n", + " Nanny: tcp://127.0.0.1:35027\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-yijpqsq8\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-kwp7isb8\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1599,7 +1599,7 @@ "
\n", - " Comm: tcp://127.0.0.1:39165\n", + " Comm: tcp://127.0.0.1:32945\n", " \n", " Total threads: 1\n", @@ -1562,7 +1562,7 @@ "
\n", - " Dashboard: /proxy/42643/status\n", + " Dashboard: /proxy/46373/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1570,13 +1570,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:38139\n", + " Nanny: tcp://127.0.0.1:36301\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-5kvtf51n\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-01eouyrx\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1644,7 +1644,7 @@ "
\n", - " Comm: tcp://127.0.0.1:37439\n", + " Comm: tcp://127.0.0.1:37267\n", " \n", " Total threads: 1\n", @@ -1607,7 +1607,7 @@ "
\n", - " Dashboard: /proxy/41513/status\n", + " Dashboard: /proxy/46577/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1615,13 +1615,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:42287\n", + " Nanny: tcp://127.0.0.1:45995\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-cb9ksrv5\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-klxe0qxn\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1689,7 +1689,7 @@ "
\n", - " Comm: tcp://127.0.0.1:33855\n", + " Comm: tcp://127.0.0.1:40191\n", " \n", " Total threads: 1\n", @@ -1652,7 +1652,7 @@ "
\n", - " Dashboard: /proxy/46543/status\n", + " Dashboard: /proxy/41815/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1660,13 +1660,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:36861\n", + " Nanny: tcp://127.0.0.1:42663\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-2dsb4lkf\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-1ygma__c\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1734,7 +1734,7 @@ "
\n", - " Comm: tcp://127.0.0.1:42883\n", + " Comm: tcp://127.0.0.1:36593\n", " \n", " Total threads: 1\n", @@ -1697,7 +1697,7 @@ "
\n", - " Dashboard: /proxy/38015/status\n", + " Dashboard: /proxy/42413/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1705,13 +1705,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:34897\n", + " Nanny: tcp://127.0.0.1:38031\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-i21y3804\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-4n2618vb\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1779,7 +1779,7 @@ "
\n", - " Comm: tcp://127.0.0.1:36899\n", + " Comm: tcp://127.0.0.1:36867\n", " \n", " Total threads: 1\n", @@ -1742,7 +1742,7 @@ "
\n", - " Dashboard: /proxy/45157/status\n", + " Dashboard: /proxy/44769/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1750,13 +1750,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:39277\n", + " Nanny: tcp://127.0.0.1:42523\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-pbkt_fl6\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-7uib4p5q\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1824,7 +1824,7 @@ "
\n", - " Comm: tcp://127.0.0.1:46661\n", + " Comm: tcp://127.0.0.1:42809\n", " \n", " Total threads: 1\n", @@ -1787,7 +1787,7 @@ "
\n", - " Dashboard: /proxy/40193/status\n", + " Dashboard: /proxy/36205/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1795,13 +1795,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:40083\n", + " Nanny: tcp://127.0.0.1:37981\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-rjl982o2\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-tj148spo\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1869,7 +1869,7 @@ "
\n", - " Comm: tcp://127.0.0.1:33277\n", + " Comm: tcp://127.0.0.1:38331\n", " \n", " Total threads: 1\n", @@ -1832,7 +1832,7 @@ "
\n", - " Dashboard: /proxy/40593/status\n", + " Dashboard: /proxy/35067/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1840,13 +1840,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:33357\n", + " Nanny: tcp://127.0.0.1:35867\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-eyvbvwc1\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-t3rj5uyu\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1914,7 +1914,7 @@ "
\n", - " Comm: tcp://127.0.0.1:35387\n", + " Comm: tcp://127.0.0.1:42829\n", " \n", " Total threads: 1\n", @@ -1877,7 +1877,7 @@ "
\n", - " Dashboard: /proxy/37801/status\n", + " Dashboard: /proxy/39057/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1885,13 +1885,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:42547\n", + " Nanny: tcp://127.0.0.1:39631\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-plfbx5_6\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-6vmywl2h\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1959,7 +1959,7 @@ "
\n", - " Comm: tcp://127.0.0.1:37569\n", + " Comm: tcp://127.0.0.1:44771\n", " \n", " Total threads: 1\n", @@ -1922,7 +1922,7 @@ "
\n", - " Dashboard: /proxy/37649/status\n", + " Dashboard: /proxy/46721/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1930,13 +1930,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:40463\n", + " Nanny: tcp://127.0.0.1:36271\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-hmwm1xdn\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-ferqfcu8\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -2004,7 +2004,7 @@ "
\n", - " Comm: tcp://127.0.0.1:38117\n", + " Comm: tcp://127.0.0.1:43427\n", " \n", " Total threads: 1\n", @@ -1967,7 +1967,7 @@ "
\n", - " Dashboard: /proxy/39295/status\n", + " Dashboard: /proxy/41625/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1975,13 +1975,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:39753\n", + " Nanny: tcp://127.0.0.1:45587\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-f5n24o_n\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-ralzu5_h\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -2049,7 +2049,7 @@ "
\n", - " Comm: tcp://127.0.0.1:37101\n", + " Comm: tcp://127.0.0.1:43507\n", " \n", " Total threads: 1\n", @@ -2012,7 +2012,7 @@ "
\n", - " Dashboard: /proxy/34773/status\n", + " Dashboard: /proxy/39995/status\n", " \n", " Memory: 3.93 GiB\n", @@ -2020,13 +2020,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:40449\n", + " Nanny: tcp://127.0.0.1:38687\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-46428i0_\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-j1imta68\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -2094,7 +2094,7 @@ "
\n", - " Comm: tcp://127.0.0.1:33179\n", + " Comm: tcp://127.0.0.1:36361\n", " \n", " Total threads: 1\n", @@ -2057,7 +2057,7 @@ "
\n", - " Dashboard: /proxy/44151/status\n", + " Dashboard: /proxy/38541/status\n", " \n", " Memory: 3.93 GiB\n", @@ -2065,13 +2065,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:38351\n", + " Nanny: tcp://127.0.0.1:45763\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-rv9q_fam\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-qrp18gdi\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -2139,7 +2139,7 @@ "
\n", - " Comm: tcp://127.0.0.1:43395\n", + " Comm: tcp://127.0.0.1:42393\n", " \n", " Total threads: 1\n", @@ -2102,7 +2102,7 @@ "
\n", - " Dashboard: /proxy/43297/status\n", + " Dashboard: /proxy/44213/status\n", " \n", " Memory: 3.93 GiB\n", @@ -2110,13 +2110,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:36249\n", + " Nanny: tcp://127.0.0.1:37103\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-ckedra_b\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-cpk2ijgb\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -2184,7 +2184,7 @@ "
\n", - " Comm: tcp://127.0.0.1:36153\n", + " Comm: tcp://127.0.0.1:44167\n", " \n", " Total threads: 1\n", @@ -2147,7 +2147,7 @@ "
\n", - " Dashboard: /proxy/43193/status\n", + " Dashboard: /proxy/45159/status\n", " \n", " Memory: 3.93 GiB\n", @@ -2155,13 +2155,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:35665\n", + " Nanny: tcp://127.0.0.1:46329\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-9xdod96d\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-u78yihn9\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -2229,7 +2229,7 @@ "
\n", - " Comm: tcp://127.0.0.1:44385\n", + " Comm: tcp://127.0.0.1:42865\n", " \n", " Total threads: 1\n", @@ -2192,7 +2192,7 @@ "
\n", - " Dashboard: /proxy/34921/status\n", + " Dashboard: /proxy/33997/status\n", " \n", " Memory: 3.93 GiB\n", @@ -2200,13 +2200,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:37265\n", + " Nanny: tcp://127.0.0.1:39679\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-3gk37jvc\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-wg2_9241\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -2274,7 +2274,7 @@ "
\n", - " Comm: tcp://127.0.0.1:37211\n", + " Comm: tcp://127.0.0.1:40865\n", " \n", " Total threads: 1\n", @@ -2237,7 +2237,7 @@ "
\n", - " Dashboard: /proxy/37803/status\n", + " Dashboard: /proxy/45593/status\n", " \n", " Memory: 3.93 GiB\n", @@ -2245,13 +2245,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:41049\n", + " Nanny: tcp://127.0.0.1:43435\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-y5bgnb25\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-_bmddiev\n", "
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(st_ocean) float64 400B 1.152 3.649 6.565 ... 5.034e+03 5.254e+03" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "cat_subset = catalog.search(name = experiment)\n", "dxt = cat_subset[experiment].search(variable = 'dxt',frequency = 'fx',path=\".*output000.*\").to_dask()['dxt']\n", "dyt = cat_subset[experiment].search(variable = 'dyt',frequency = 'fx',path=\".*output000.*\").to_dask()['dyt']\n", "cell_area = dxt * dyt\n", "\n", - "total_area = cell_area.cf.sum({'longitude', 'latitude'})" + "## Make a mask to get vertical variation of A\n", + "temp1 = temperature.isel(time=0)\n", + "cell_mask = temp1/temp1\n", + "total_area = (cell_area*cell_mask).cf.sum({'longitude', 'latitude'})\n", + "total_area.load()" ] }, { @@ -2447,7 +2911,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 9, "metadata": {}, "outputs": [], "source": [ @@ -2462,7 +2926,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ @@ -2492,12 +2956,12 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 11, "metadata": {}, "outputs": [ { "data": { - "image/png": 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QutXMt6CgQNQlXllZiVu3bhmsQ0OlodT149yOG9L74EmkobRReh/UX103BMjYqic43s2Gzp9Av3792PGZM2dED56mh90mTZogJCSEnS9cuJB5wfXx8WHhUqkUvXv3ZucHDhxAaWkp02XPnj1M1q5dO7i6ugLgV3toEhUVxY6Tk5NFY+CPenVHbXiQ+q3ruu3fv79IJ814hw8fxt27d9m5dtzHiYZQ1w29HT8u74MnlYbQRul9UH913SB4EH8RRN2TmprK2draMr8fguO3YcOGifyBfPPNN6J0CxYsYDJvb2+R7NKlS5xUKmVywflbz549RXnu27ePpfn7779FMmdnZ27mzJncvHnzdJxBHjt2rD6qpk54kPqt67rlOI4bOHAgk1laWnLvv/8+N3fuXE4ul7PwkJCQx9qJYUOo68e9HTeU9wHH8XU5Y8YMbsaMGdykSZNEcXv16sVkR48eNXa11BkNoY1yHL0P6rOuH3U7JmOrAbF//37OwsJC1Ag0/0aPHq3z0NXUKDmO41avXs1JJJJq8/zwww910rzzzjvVxhf+xo0bZ6xqMBq1rV9j1G12djYXFBRUbRovLy8uPj7emNVQLzSEun7c23FDeR9s2rTpvvUIgFuwYIGRasI4NIQ2Su+D+qvrR92OydhqYNy4cYMbN24c5+npyZmbm3NyuZzr0qULt3PnTr3x79coOY7jLl68yA0dOpRzc3PjzMzMOGdnZ+7ll1+u0YL/7bffuAEDBnAeHh6cubk5Z2ZmxjVu3Jh7+eWXuZ9//rkuLvWRUJv6NVbdFhcXc0uXLuWCg4M5a2trztLSkmvRogU3d+5cLi8vr64u9ZHTEOr6cW/HDeF98Kh/pIxJQ2ij9D6on7p+1O1YwnF61pwSBEEQBEEQdQJNkCcIgiAIgjAiZGwRBEEQBEEYETK2CIIgCIIgjAgZWwRBEARBEEaEjC2CIAiCIAgjQsYWQRAEQRCEESFjiyAIgiAIwoiQsUUQBEEQBGFEyNgiCIIgGhxnzpxhmxFLJBIkJSUx2bhx41h4p06djFrWo8DHx0ekj/D3OHDlyhW9utfFfXqcIWOLIAiCMBiO47Bjxw706NEDLi4uMDMzg4ODA3x9fdGlSxfMmDEDf/zxx6NWs85oaIYY8Xhi+qgVIAii4bJ582aMHz9eJ3zBggVYuHAhO+c4Dt999x327NkDtVqNqVOnYsiQIXWiw8CBA7Fv3z6d8NOnTz/1X8uPgjFjxmD79u2isIKCAhQUFODWrVs4ffo0CgoK0LFjR6PpMHz4cLRq1QoA4Onp+dD5+fn5YdmyZezc0dHxofOsK4YNG4aQkJBHrYbBuLu7s7o8duwYjh8//og1ahiQsfWE4OPjg+Tk5FqloR+rukezq3/Tpk0YN27co1OmHpkzZw6+/PJLdn7u3DmsWbMGb7zxhk7cjIwMrF27FidPnkRsbCwUCgXkcjk8PDwQFhaG4cOH48UXX6xP9QkDOXz4sMjQat++Pbp16wYLCwukpqYiNjYWf/75p9H16NWrF3r16lVn+Xl6emLmzJl1ll9d0qtXr8fqPdKoUSNWl3fv3iVj6x40jEgQhEHI5XIsW7YMy5YtQ48ePVh4fn4+vv76a3Tt2hW3b9/Gf//9h1atWmH+/Pk6eaxatQpNmzbFwoULcfbsWWRlZaG8vBxZWVn4559/sHLlSrz00kvIz89nacaPH8/KJR4tmj+czzzzDM6fP4/PPvsM8+fPx9q1axEREYHMzEwdIzsrKwuzZs1Cly5d4O3tDVtbW5ibm8PV1RU9evTAtm3bwHGcwXrUNGdLc8hv8+bNOHLkCDp27Ahra2s4ODjglVde0fkwrW6oUCKRoHPnzqK4TZs2ZfHGjRuHH3/8kZ3b2NhAqVSK4ufm5sLMzIzF2b9/v8HXWRPa13no0CGEhYXB2toacrkcr776KhITE3XSnT17FoMGDYK7uzvMzc1hY2MDHx8f9O7dGwsXLkRBQQGL26lTJ9G1arJw4UIm8/HxqZNrepKhnq0nhHnz5okeEoVCgSVLlrDz7t27i34gAb7rnBCjVCpha2v7qNWoNfWht52dnd6v//j4eFRUVGDatGlo3LgxAOCNN97Ae++9h9zcXDg5OQEAli5dig8//JClMzU1Rd++fREcHAwA+O+//3DkyBHk5OSI8h8wYAA7njVrVp1fF2E4FRUV7DgvLw/x8fEICAgQxZHL5WjXrp0oLCUlBV999ZVOfllZWTh+/DiOHz+OU6dOYePGjXWq77p163D+/HlR2K+//oro6Ghcu3YNMpnsocsYNmwYZs6ciezsbBQVFWHnzp0iY/OXX35h9ebi4oI+ffo8dJna/Pjjjzh9+jQ7Ly4uxu7du3HmzBmcP38e/v7+AICTJ0+iZ8+eUKvVLG55eTmKioqQnJyMI0eOYPjw4bC3t69zHZ96OOKJ5NatWxwA9rdgwYIa458+fZobOnQo5+HhwZmbm3N2dnZcWFgYt379ek6tVovibtq0SZR3fn4+9+6773Jubm6clZUV16lTJ+7ixYtMjyFDhnAODg6cjY0N17NnT+7q1as15ldSUsJ9/PHHnK+vL2dubs75+vpyixYt4srKyupcd6VSyc2YMYPz8vLipFIpq6fMzExu5syZXOfOnTkvLy/OxsaGMzMz41xcXLju3btzW7du5SorK1m+4eHhony1/7y9vTmO47gFCxbohGleh2aaW7du1VrvB6mTmtAsV1tfgYyMDA4AN27cOK6iooIrLi7munbtyllbW7M6unbtGieVSlleLi4u3OXLl3XyUqlU3MqVK7m7d+/qLUuzDk6fPm3wdRB1w4YNG0T3QCKRcM8++yz3+uuvc2vWrOESEhL0prt06RLXsmVLbty4cdzs2bO5pUuXcgsWLOD69+/PSSQSlp/w3uC4mp+HsWPHsvDw8HBRWdrPXqtWrbh58+ZxHTt2FIXv2LHjvmUtW7aMmzx5skj24YcfcsuWLeOWLVvGHT58mOM4jvvwww+ZvG3btiJ9unfvzmQzZswwqJ69vb1Zmk2bNumNo32dbdq04ebPn8+98sorovCuXbuyNK+++ioLb9asGTd//nzuk08+4SZOnMi1adOGk0gk3I0bN1h8zffa2LFjReXX9C7TF0f7Pj1tkLH1hFIbY2v27Nk1Ggovv/yyyNDR/uFv06aNThqZTMbt37+fc3Jy0pE5OTlxWVlZ1ebXpUsXvXoMGjSoznUPDQ3VW09///13jfkC4MaPH8/yrW9jqzq9H6ROasIQY4vjOG7o0KHs3trZ2XEAuLlz5zL5m2++KdJh7969BpWvjWYeZGzVP2VlZdyzzz5bY/vq3Lkzd/PmTb3pk5OTuT179nDffvst99VXX3HLli3j3N3dWdpPP/2Uxa0LY8vb25sZ7mVlZZyLiwuTTZ8+3aCyapIJpKamij4m/v33X47jOC4nJ4czNTVl4dofmtVRW2OrZcuWXGlpKZNNmjRJJI+Pj+c4juP69+/Pwnbu3KmTZ0ZGBldUVMTOydiqO2gY8Slnx44d+OKLL9j5yy+/jBdeeAHp6enYsmULSkpK8Pvvv2PBggWiYUlNLl++jNdffx22trZYtWoVKioqoFKp0L9/f1hZWWHatGlQKBTYsmULAH4Ow4YNGzBnzhy9+Z0+fRpjxoyBl5cX9u7di5s3bwLgu/+3bduG0aNH15nukZGRCA0NRdeuXaFUKuHh4QEAMDExQcuWLdG2bVu4urrCwcEBKpUKly9fxoEDB8BxHDZt2oTJkyejXbt2eOutt9C3b1/RMJfmKqK67pavTu+6qJMHYePGjXB0dMQvv/wCOzs7TJ06FR9//DGTnzp1ih3L5XIMHDiwzsom6g8zMzNERETgs88+w+bNm3WGfAH++e3RoweuXbvGhrZzc3MxduxY/P777zXmn5aWVqf6jh49GtbW1kz3pk2bIisrCwA/1aKu8PDwwMCBA7F3714A/PDlqlWrREOIbdu2ZSso65phw4bB3NycnY8ePRrr1q1j55cuXYKfnx86dOjA5oyNGzcOa9asQUBAAAIDAxEaGop27do9Nv68HjsetbVHGAdDe7aCg4NZnDfeeEMkW716NZPZ2NiwLyftXpbPPvuMpRk+fLhIpvn11LZtWxb+yiuvsHDt/BYvXsxkBQUFnLOzM5N16NChTnUfPny4aDhQm9p8iXOc+GtT3xdpXfVsVaf3g9RJTRjas3U/rKysWD7t27d/4Hw064B6th4tarWai46O5tauXcuNGDGCs7S0FN2fzZs3s7gDBgyosTdM+NPsPamLnq21a9eKZJpDiYaWZUjPlnY8uVzOlZSUcN26dWNh33//vcF1W9uerdWrV4tkN2/e1CsvLy/nxowZI+qF0/xr1aoVl5GRwfLR7Nl67bXXRGXMmTOHerZqAa1GfIopLi7GlStX2PnatWtFK1wmT57MZHfv3kV0dLTefEaNGsWONVelmJmZiXwtaU6kremrcsyYMezYzs4O/fr1Y+dRUVF1qvvs2bP1fsnl5uaib9++8Pb2xpAhQ/DOO+9g5syZmDVrFtLT01m8uv4SNxR9etdVnRCEIZiYmKB169aYNGkSduzYgcjISJE8Pj4eAFBUVISDBw+y8OHDhyM1NRVqtRocx6Ft27ZG09HMzEx0bsxem06dOqF169YA+PfbmjVrcObMGQCATCbDiBEjjFa20FsnkJmZKTp3cHAAwC9K+fHHH5GRkYHffvsNX3zxBSZMmAC5XA4AuHbtmmjEwcSkykQoKSkR5fnff//V5SU88ZCx9RSjUChqtdw6Oztbb7i7uzs7trCwYMcuLi4wNa0aqdY8rqysrLYcFxcX0bmrqys7LikpQWlpaZ3prr2SSmDixIn3HfIAgNLSUoN10EZb/9rkpU/vuqoTY6DZRuLi4mqlJ9Fw2LJlC9asWaPj3gAAbGxsROfCD3xBQYFo9dvQoUPh4eEBExMT3LhxA//++69RdX5YtA224uLiauNOmTKFHc+ZM4cNIQ4cOJDVhzHYtWsXysvL2fm2bdtEcmE6Q2xsLIqLi9GoUSMMGDAAH3zwATZs2CBy03Lp0iV2rKnz5cuXUVZWBgC4ceMGDhw4YIxLeWKhOVtPMdoP/yuvvFKjM8nAwEC94dovIwFN46o2ZGVlibxCa36lyWQyWFhY1JnuVlZWOmH6vsSXLVuGJk2awMTEBO3atcPff/9t6OWIqKsvRX1611WdGIMuXbqw61MoFNi3bx/N23oMuXXrFj755BNMmzYNHTp0wHPPPQe5XI6srCzs2rWLxZNIJMzVjIuLCxwcHJjvtKlTp+Ly5cu4e/cuNm/ezH7AGyqaHwoA8Pbbb6NXr14wNTVF//79RR8+Y8aMwZw5c5Cfnw+VSsXC9e3CUJfExMTgxRdfxMsvv4xr167hl19+YbLOnTszNz/Lly/H1q1b0bVrVzRt2hSurq7Iy8vDjz/+yOJrvkdCQkLw66+/AuB7Ktu2bYtmzZrh6NGjDf6+NTTI2HqKsba2xrPPPsu+LBUKBd5//31IpVJRvOzsbERGRsLX17de9Nq6dSvzx1RYWCj6ghK+0Iype3Vf4gDu+yVuamrKvmb1fQFrvsiys7ORmJgIX19fKJVK/PDDDwbrqI+Gej8B4J133sG6detYj+Zbb70FX19fBAUFieKVlZVh7dq1GD9+PJvYTDQ8VCoV84+ljw8++IANqZmammLOnDlseCotLQ2fffYZAKBVq1bw8/MT9aY0NHx8fPD888/jn3/+AQBEREQgIiKCyTSNLSsrK4wfPx7Lly9nYZ6enujWrZtRdezduzeOHDmiU49OTk5YvXq1KKy4uLjaXikTExPMmDGDnU+YMAFfffUVm/YRHR2N6OhoWFhYoGPHjk/UHpjGhoytp5yZM2eyOVKnT5/Gs88+i759+8Le3h5ZWVmIiorCn3/+ibCwsHrrifjoo49w8+ZNeHt7Y8+ePaIVT5MmTTK67g/zJe7u7s68U//vf/9Dbm4uLC0tERwcjK5du+rscRYWFoZOnTrhwoULuHXrlsE6VkdDvJ8A/6P6ySefsOGKO3fuoE2bNujfvz+ee+45APzwouDUVFhxSjQspk2bhtatW+PUqVOIiorCnTt3kJ2dDbVaDVdXV7Rt2xYTJ07Ucdw5e/Zs2Nra4ptvvsGtW7fg5OSEfv364fPPP8crr7zyiK7GcPbu3Yvp06cjIiLivsP1U6ZMwTfffMM+LMaOHSvq0TYGr776KqZPn45PP/0Uly5dgpmZGbp164bPP/+cOTQF+OkRDg4O+PPPP3Hr1i1kZ2ejsrISrq6ueOGFF/Dee+8hLCyMxXdzc8OZM2cwc+ZMREZGQiqVokOHDvjss8+wb98+MrZqwyOcnE8Ykdr42Zo1a9Z9VwlpriTRXhmnSU2r7apbQaSd38svv6xXh/79++uswKtL3TX5/PPPq12to+lXTNv3zPvvv6833ZQpU1icl156SW+cHj16VLvqyVC9H6ROaqKuViMKfP3115y5ufl99VMoFHrTa8ah1YhEQ6SkpIT5mpNIJMzHVW3QXI04bNgw5kRVE81noboVi4+CrKwspq+mQ9enfTUi9WwR+PLLL9G3b1/88MMPOH/+PDIzM2FhYYEmTZogMDAQffv2Rf/+/etNn19++QVffPEFtmzZgtTUVDRp0gTjx4/HnDlzdFYTGUv3B/0SX7x4MdRqNfbu3Ys7d+6IhiMFDhw4gBkzZuDAgQMoKipCq1at8MEHH6BRo0Y4duxYrXXVpqHdT03ef/99vPrqq1i3bh1OnDiBuLg45Ofnw8HBAZ6enggNDcXw4cONOpmYIIzBhQsXkJ+fjy1btqCwsBAA0LNnz4feFm3Xrl1sPlxD3Sxbk/T0dNpWSw8SjqNlQcSjZfPmzaIJpNQkGw6a90Yul7O5dC+99BJeeumletFh3759bHK95kv89OnTOpsQE8SjwsfHR7TBtYWFBf766y+deYkPkpeA5rtR88Nz06ZNOhtFPyquXLnC9jvVJDw8nLnCeBqhni2CIAxCoVAwY2fBggX1Zmxt2rQJ+/btq5eyCOJhsbW1xfPPP4/Fixc/kKEFAElJSXWrVD3y3HPP0QezHsjYIgiCIIiHpL4NJDJoHi9oGJF45NAwIkEQBPEkQ8YWQRAEQRCEEaHtegiCIAiCIIwIGVsEQRAEQRBGhIwtgiAIgiAII0LGFkEQBEEQhBEhY+shiIuLw8SJE+Hj4wMLCws4Ozuje/fu+Pnnnx+1agRBEARBNBBoNeIDcujQIQwePBgqlUqvfOzYsdi0aZPO9jIEQRAEQTxdkLH1AKSnp6Nly5YoKCgAALRo0QLDhw/H9evX8dNPP7F43377LaZMmfKo1CQIgiAIogFAHuQfgJUrVzJDy9bWFmfPnoWjoyMAwMTEBDt27AAALF26FJMnT4ZUKn1kuhIEQRAE8WihOVsPwP79+9lxp06dmKEFAIMHD2bH6enpuHTpUr3qRhAEQRBEw4J6tmpJaWkpYmNj2bmvr69Irn0eHR2Ndu3a6eRRWlrKzisrK5GXlwcnJyea40UQDQyO46BUKtGkSROYmDz89yk9/wTx+FBXzz8ZW7VEoVCI9u6zs7MTyW1tbUXnOTk5OnksXboUn3zyiXEUJAjCKKSmpsLDw+Oh86HnnyAePx72+Sdjq5Zorye437m+L9W5c+di+vTp7LygoABeXl5Y18IH8/K99ZZ76NP+eOedz/DZuA4Yub8AH5alI/Gr5fjpw68AAL550QCAdqt/xOZzHH64OA3v53oCAF5TZuBceTbW/7oeXSauBAA0GjsN2VtWAAB29LfHR5vPYuRPP+Oztz+DtYM/ivLjWdmnNryHE2NmY4m5OwBg+JKZrFyh7M/GdcBrqeOxf1AiYr/5jpUt5P3R0UOYMGIOTIOnoeLyCpZ2487P8VnPPthx8SSeW5WGbRkLkHhRiSXm7iwtAHiZ2eKNUc/ho81n2XVcOLwcI9t3hfOSjfjrqxU6un30/UdocWQVXksdz8rUvDYh/0THIFg7+OMz6Wk8u/MguvR4S1SnI3/6GV0sCvHpq+/jjG1TkWy4jRM+Hvg1tmUsQJNBo9HnY36IuZPyFlLKlex+ndrwHuDZHF16vAVrB3+4Jv7C63j0EHyc7PF6SCi+/fYjll6o0xUB4zGn6CRmLt6ORMcgUdlC/I07P8fIrdmQHfofAMA0eBp+fuEk+iT3gOzQ/+CbF40dF0/ihd7vi9I7L9mIz5tX4vVBr+vkDQCfjeuAtduvIKVcyeSnjv2A10NCsePiSfR68wSOrOmG904ms/r3zYuGl5ktrrR8B+WFsXBN/AUfdvXB65ftRPKwrRuQMmYKzpVn6y07zKwRzpVnAwBSum7k28DJCdDHV/NGYebi7XplAJDoGCTKWxPl+xuRvWWFznUL7W59VCSuTR+O4ceidT6kHpTqnv/eDt1wpyIPAHD4ny1o2fldmLnaoN0tNT4Y5op3t1Xp2OR/fXDh03P4cuMofDv4B7zq2gw/Z95k8hR7vr69Cgr16pBib4fQYkuklmfqyHI+7I7i7y5C/epzaLruD3iauYriCXnHnF4FAFBJJRj07Gs68r9/fBdhX+xBcUtXNF33h0gGAJf++BZtOr6Dff18sPOXYkyc2gTdv7+iV9+Zsib4OfMmS7/MvQkuJVXgfHHVe0oz7339fKBIL8PHp6vqpMeGV7F++hEAwNklL0OVlo6JS/9g8nf2voUPJmyHRcvGcD1fNXqhL/9Lf3yLyqRYDB6wWEf2wsdhmBn8Epo7eKL382N15DGnV2H55d/h8GE0u2fa9+vXf39E2rKv8O62aLxk5Y+fzLJYeouWjbFoRhd8O/gHnbyXuTdBwPPmoraiKfcqKMSGuR1F1y3IL/3xLXb2WII/8xTsfmumHV7ugl7tTXHtOnT0BoDNzzcBAFGdC3KhTlxvxGDUlJ068mXuTdBpKT8FR1+dmrna4NTUcHw362+cL46Hp5krIq1KmPz1r3thWPwdvde1r58PrDwdsOGb26y9aOZ9dsnLcHyxF27v3sDSa8pNQn2Q/fPmh37+ac5WLXF0dBQZUEqlUiQvLCzUia+NhYUF7Ozs2J+9vT0AwEpqAhMTU71/NlaWMJVIILlzGyYmpvD2AFq7OzG5qUQCU4kErd2dYJcjg5ufI5NZSKS8XJEJW6cWMDExRVqBHZNbW5jxaT3dYGJiipLCJFHZpopMZJeZsfMzyRZi+T29irztoAzuAd8uwbp5+3jAxMQUlf9+K0prbWMDU4kEZTEX4H4zGS+u+pmVJaQ1lUhgJjGBs98z7DpMTExha2vLyyyt9eqWWiaFtYUZTMyq5DLH53R0E67Zzc8RrlZmousS6sW2RTs8I7HWkWWXmUFibo1nZy+FqeI2k5tJTET3a4tSDtu8FF4uNa/K28cDW67fuXddt0X5W1uYwczSGp6vzWZ6apYtxN9wXQkfT1lVvZpZQ5qTAYk5r+94OxdIC7J00ptZWiPbJUB/3vd0f39CW5FcqHNpQRYK047ih9h8NPewF6W/XXEXUlNLlBQmwVQigTpdqSNv7emG19dMq7bsUL9KduzczhpF3nYiuZ+5PTuW5mSIZNp/2nlr/vUJtteRO/s9g/F2LjCVSGCblwJ1xl0A+j+cHoTqnv+OTi6QSqSQSqSY8uI8mJiYQp2twsjmrnB9xpXJpBIpuv0vDSYmpjiQmQmpRIqmruYiuVCnmmHa8mmdXfXKTlkAJiamsDqXDKlEis6NxPG+3TWJf74q8mDuYIeN10/oLTu3sTOgUMFszzX4WnhAKpHC8jlvJt94/QRMTEwROH44BodZIWJLfrXvP+H6hPMOwzzRwd+K5SuVSFE5pj2TB44fDk9fG5Hcbf5NJm/UrDUaBfiL9Lb+JBImJqYov5FdbZ0Jf39m/Ivcxs5Mpnld/1zIx50yBU5nRTN5atRmJreztcVP6cXo3ddGJ+/ONi3ga+GBjddPIHD8cEglUlwsuSUqu/xGNj6NSdV73c+/aAPvriEivTss7SbK37NbL3S2aaFT9rTI39DU1Vx0v/+7vIXJJ41wgKevjUhvmxkdmfy5115Cs06eorKnrB7I6uR0Zhx8egzVW3aHYZ5wa9EGuY2d2T2zaCJncnW2Cj49hmLSCAdIJVLcrsgR1UlsaQU8u/XSe78Cxw9HowB/dPC30tHLxMQURW3bIbUiD80mTGO6aeYtjc+pk+efjK1aYmFhgYCAAHaekJAgkmufBwUFGZz35SRTmIbM1itTXDwJANh4ir/xz+87DX9HXUu7R4AnKqK+gP/0z1hYxL2vlBtffg1z+xYAAMv9S5j8TsS/AIDGsWerLTtC48s2a90XOnE2nsqBt6saIwZMwy+hVe4uipOT+Tx+XsHCrOVV9efr7AAASP95IxRJv6Hja0d00gJAcnkh3AdPBgCo0vk6Lk7j//fxt9GrW4Bchuid19C2p97LEuUPACbzN7E8tXXsNeo3vHFwuU4eEeWZ8HZVI/RrE5SkJbG0yeW80X3qVBEAYOv0xSxNqd8gUR47d1RgRqCuUR698xr8nUzRpe8SrN/wmY781vZ9AIA/F4vvh7KJFHci/kWX1moAQMDhPXqunq+3qQczEG7mqrfdFSbl403HN/FJT415iMkxAIDbe9ex6wqQy3TSKp0DAUCUVu4zkB37Ojvg5aVXMca2kaiuBZ5f+S2+/XQ8AODdl2zYtQgM8a3qlI/eeU3v9QlU90wBwDvtn9EJcx88Ga9cOAgAUFw8jstJ9TMAMP7wXHacXJaBQ0fnAwCatTWH05i3RXG3Z/D3IeI6/7HXZrArOloHMrlFEN8L/WX3lgAAb/PGovSHjs5H69nD9eoxYuEpAED5HSVGNW6Jvm+6iuT/670CADDkyEmsuPgrfnj7INZPCNbJZ8iRkyi/w+u37gbfC3a6ixuTb1x9GQAQ8Otp2H42Hudy82DarZlenULfDxGdO4R1RrO25lixugdmtuavscu6G0yeZGsJ95GvYMXqHixse0YMVu7k25S0aXPcadkaoxq3ZPKvrsaIyviye0tWf9pM3/AnBoxdwep1xn9VP8QVJ27i7YPRmPF+1XPXMWAoO/486jeU77yKhW28WJhw3W/NcseUcEes/zQCIZHn9ZYNAMXLzzPdPv6l6t3sPvIV3GnZWtQW0qbsY8dvzXLHqqybeH/VCzplR+36D6Hvh+DNiIVM1sNviChvp7AglL85ioUN/jKRHa+TVSCqfRC7HwBwaOR2VierIjPg/s0PmLtvNJML7dRpzNvYlxCJ/st2s3v2tZm96JpHHt+GhW28sHNhFwBA8l/rmSxy3hlMio0SXXfFqDYA+LbgFNYXXZcPZ7oJegHA4qiz6PHjITTfuRFz943GzNYtWTsBgPLMu6gLyNh6APr168eOz5w5g9zcXHau6T2+SZMmCAkRvyRq4lx5NhZMsdErEwwD4Ue8feg4vfEEo6bXh//pyP4Xm4dmowJ1wrNu864ptk5eVWPZNZFcXoiezfkfJU3DQmD3okN601mpeaewC47yD60i6TeE+JajpP+HiD8v7jX8MioVL27RNRx6WOgfKolTqLBVmY332lX90CiSftOJJxgBIwZMg5WHHwAgp0PVSwbJMVAk/Yb2I5fpNQz8XICKqC8gb98VpiGzRcZUhNYwjdxnIBw1f5eSY1AR9QVmqrtD3r67KO5WZTb6+DVCkSIOnT7YKzJWAP5+CpQfFw977EmswIo+zdl1JVq76+jdI8ATWeu+wPUvvsGCKTY617YnsQJZ677AGwltddIe3HSdHa86r/syEq7xjYS2aP4BP2Rm1l2j7SXHoEgRhy9duyDo7UE66afFmKDXN1cAAB2yr4gMagAsT4Cvp5rQ90yN3X8Q4WauiJ86CCX9PxTJvoxKZUb/7kWH2HCmsbmRnyr68X+r/UwAQPmbo5CQk6Tzw2/arRmsr97BqMYtUZSiEP2ACj/+mdO7Y/2EYAzVMuY/7/A/JNlaAoDox1Gb0VuHQ+blqWOsAfwP/qrIDF73oeEs/PqemUwuEDT+Y6yfEIwRC08xI7I0Op2/ju2XMGDsCoQ5OSLmi1l69XAK6wsAGFPOG2snynPhFBaEOy1bM0MsuSwDqzz5OTX9l+0GAFiH9xPlIxiKR+POIT4vTceQNHOr+oB94buFeG511dy6469UfThUnLiJ8jtKrD7EG8HbM2Lw1vd9mVyWWYTyO0q9Rui6X+JRfkeJv1ZdYvd0xOF8AMDWgMbMCNasP80ff039hLIF3VZl8UN4rw2z0okPAPm9+2DLf3miehHKLo1Ox7nGcuxLiBSl+dDSg+Wdey4a8XlprJ3+UVT13tm4+jJ2Jd5C/70L9bYX0+2XIMsswonyqt9LoZ36ff09AL5ew1KzMKpxS3x1NQaxlzawuBdP30HkvDPoJrFAR+tAxH2+RJR/1K7/RIac33f8R0P/ZbsRo+B/wzSNdqGd/rWK16vsah5CIs+j6/LhaL47Qm/9PQxkbD0AU6dOZeO3d+/eRceOHbFo0SIMHz4ce/ZUGQOzZ88mH1sEQRAE8ZRDxtYD4OHhge3bt8PCwgIAcP36dXz88cfYtWsXizN69Gi88847tc671cH/GRz37alnAIiHSYQeJEXSbzpf7ACwomWlTpj/S7zhqN0LI+AUGq43XJsPQjyrTauZd5Eijh0XS3WHoJ7fdxrRw8vxh6pUFP7Lot3YOn0xFF3G8QHe/NfVkSFTdXp9AH54DgBkPy7Uq6+gm2Zvn/9XKXzWrlXDVv+8V3Uf129+W6cHSOhB6vazPyK/aV7tsGW/0yY4sn0gvulb9dUn5F2kiNPbGyk/tZkdf/9NJ733FBD32DWJvo7k8kLc/noaCxsxYJpOmvipfI/Sn4u/QKuD/8Ocr8eI5EIvapEiDi/O49uY0EOmPaysXSfCNRYp4tD+XCBK+n9Y7XUvtY+HyyTxUN/fR/n/6zd8hkWTv9TpvXR6oTsWnav+63NGoCMK5/C7Oeh7puaPn48Ndk2w4Ggi4md6iWRHb1RAkfQbws1cq30mjEFTJy+MPSdepWjmZosePx7CkCMnkTm9OxtCAYDtBXehdrHF6K3DYe0lZ70/QFVPy4z39+DG0HA0a2su6hlLLuN7pNZPCEabwa46vVtCT8qk2CjIvPwxf7SbSG71/ksA+N4KiyB3vH2wakJ2727zmVygNDqdDT/t7LJO59rL7ygxZHEIZGr9G5oIPRN/FMXin68H4u2D0ex6NXtphKHAihN8D49MzYmGlgTm/MX3yDiEdRb1Pm3ztEfFqDbYubALYhTJWHHxVyZ7feNlNjQlEBJ5nvXyaA5NSbOUMHOzxS/dWrAwoeer4sRNmLnZovyOErafjRdd1w9vH8SqrJso6co/T0IP0d9DDutcQ/OdG5nur2/kh2Q3rr4MP2cfuI98RXTd/3w9EADQ48dDGPuMI47GnWOyP4piWW/jeyM2wd/RQ9TDKgxZr/+Uf956BoTh2VZVeghDgaXR6Yi4rkTznRtF7UWzV868tSNuKKp6irdnxOCfrwfCdPsl9AwIA8D36AnPgeYwpnBPi5efF/VgCZRGp7OePYHjr/ii4sRNDDlyEuk7foHMy5/Jenfjr7n8jhLSLCVUrtYoXn4ek2KjkJdappP/w0LG1gPSr18/XLlyBePGjYOnpyfMzc0hl8vRpUsX7Ny5E1u3bkVtfXK8+4wcs9aeFoUJRoT7q7orsRRJv+HFebNFP+6aPw7RswPw4rzZovlAo3qO1Mnb/5uqF4o+BONm574VOrppGnornuvPjgWj4O/nBkMfQtnTDt3QkbUPHYdRPUeyH3sBwUgbMWAaSvp/iH6b+bRbldmYvqCNTj4VUfxcJu06FQyD7d4vAwAW3D3KZJb7l+hcp+ZwnfzUZlzYN10kP9K2GytP8fMK0bClJlnrvsDtr6fBtyhdb97C/dQ0XN75eBM7bhx7FhfDdFdJaSMYXtrXLRhMAsLQLQB8u+kSKkfpDlUICNc0cEOWXrlo2BVA5aKqvCz3L0H08HLRnEDN677x5df4+Zl4eJtVrQAShiE7fbAXyeWFiP/6I1H+uReOY8SAaXrnugH80HjWui8wdv9BnXrQZtpz4uHbd1/ihx0PzPimxnR1zcn4PxG8bQP+iNvNwv799k3YuVhAfTIZs5Yew6xGVcNcHxyPQcKSmZgUGwWnMW8jfccPIoOqxdIrKL+jxKylx2DtJYdnqNaQ2Zrt8Jo3D+4j30LX5cOxc2EX9uP+v94rcOjofERcV8Lai5/T8+vGsSztvuQ77LgyqxB2LhYio0VTLiAM7WkOPWkSdCkV+xIiRUN5AD/c01LuzQzCQRO2QJZZhBhFMnyUJSiKOCCKLxhE0qb8R1A7X/Gcu5U7x6N851XsSrwFVUo8AuZUfcB8cDwGp0sUyO/dB/F5aTrXvTdObHwXLz+PsN+q2rpQdmVWIUxc7PDD2weZrMXSK2x+VPkdJUy7NcOgWRuZfNCELQCAVZEZCG9hi9DFnbBidQ+MatxSp87M3GyhPpksGr4FeINjxcVfIW3aHH1fMhXlHXtpAyxPxqGfXzAG+IWK7tfnHao+SFrKvdG5t7l4SPueoegUFgT1rRvwDHVlcs15eJYn43T02jOgqhPi83aB6OcXLDLuheuWqTlmuLWcvQw1EfzpTpS/OUpnjl+04q5Ib8EILd95FQCgSokXXbfwUaB2sUV4C77dRc47A89QV71Dtw8DuX54CJo1a4ZNmzbdPyJBEARBEE8t1LPVgHir/QqdsLICfiLyBtMqC15zKKnXgnfZMJbAok2LAACJOfn44OYahP2i2wUNVK0Y6zXqtxr1GrOIH3KYHyb+ivrjx16iyceavWqW+5dg0aZF+Hz6VvFqtnsIvS+aK+m0h5K00eyZuRgWi6x1X2D7UX4fSudZr1WXTAehh0yYyK/ZewQA+RMHscn+2rgPnoxBLduLelQ0J2j//dxgyE9trrbHRfXaQp1eGs3rXnD3KHI6DNFbZxmBHfD6xI8wxrZRTZdXLStaVsI0ZLYob6GtDPE1rXGi+dSDGbCWB4hWsWr2ajqf5ecqLnujM38dRxNFPXRr+76P9J+rvuI1eX7fabw+8SPMml/VC/qjVVVv4/oNn/GrXTV6vl6fyNfhTLW4V0pAuJb54+dXe00AEG7miuTyQlGdCm1J36pbY7LwUjzGPuMI929+YGG9u83HjRETUJlViNLodPy16pLoy/yj4I/w16pLbIJx5vTurNfgq6sxqBjVBqXR6YhqHwSHsM6ioaXXN16GTM1BJZVgVdZNOIR1ZhO+AX6Cvp2LBRvCA/gVet7mjXH6cNUwi7Di0GvePNaztmjbHZ2hxIoTNzGzNZ9emJysien2S5i+4U+0e1fcS92723ysCV+INoOreub2zxqKAwl8r4UqJVU0IXtvXCYqRrVB8LYN2JcQiYwciHr8/td7BcrvKBFxXQlVSiqKUsRDT69vvIwDCZfZUOM6WQXr3fouIg/aDBi7gvWmjN+cDtNuzVidAGA9hn8lVuCvPlXvcfPW/Dvi8IlFovwsT8Yh4roS80I64FxjOUZv5SfMa04W51q5I2TYM5i+4U8WJtTp+k8jcDTuHDxDXUX10sNvCMxGtEZ8XhrSd/wAr3nzmN7JZRmsVy5GkYy81DJ07m3O0h4auR3Xfl+Bc43lkDZtDpmXJ8ae+wQzW7fEpb2ZbGVg+R0lSqPTMeevWFbnmnkLw8399y7UWTm4LyESahe+d6nixE2muzDEqUlpdDoGzdrI6lAT7UUPyX+tR0nXAJS/OQoyL394zZvHZIO/TIRpt2aQZilx8XRVb6z7yLfQfHeETht+GMjYIgiCIAiCMCJkbDUgBA/gmpO9hcnJwmRvANh8/k12vFWZjX8GdBblkzR4IgB+btO3my7hmkKFcDOxtQ/wc4xK+n8omlx9MXKzKM6L82azuU+AuDcjfe9qdMi+otcHFMC7FihSxOGVJl+wvGpiTd6aGuXvHK3q0RN6SYRJ5ZpzgDT1FHq+tNH2vST08ABAVKIZ3nErY700mrTuyPv6ajpqgN5854+fj4vLDopcE2jOARsxYBrzlSaged23tu9D9OwAvB8sXtYspAWAoBFVs1Ov/rFarx7CPdG8zpK0RIwYaYpve1blfWYwP4fvxze/15uPQNa6L2A9ROyiYbd3ld5Fiji4TJqNXuVVPSOac9siyjOx8VSO3nYouDGRt+/O5Jq9jcK8rY4yC520mostaoPQO9ztNO+qRVgkAojbUnVt2xgos0sxJ2QgwlvYiua0jGn1Hjsuv6MU+Rr6oygWJi52MN1+CVsDGmNX4i1wX1b19sUN4tvw9A1/4kR5ro5LgP2DF+Jo3DlEK+5C2rQ5m58l8Hm7QAw5chJe8+ZBlZKKzOndsWJ1D6QWViB0cScWr+wqX2eCO4Lksgyc4ErZHBzhf/+9CzEl3BHbxvykt8dCco2fz6iZN8BPpP5hWdVcx4TX+faRZGsJpzFvY0q4I+ulEeZdle+8illLj+Fcrm5vlEWQOyxPxiGqfRBUKfH4I263qBdoTshAAPwcIIDv3RKuS3OSvEWQO5vc723eGH8UxTJXCpVZhbB6/yV0k1gw31F75kWxtOqTyQgZ9gwCfj3Nyk7+az27n4ujzmJX4i3mP2pS83dxflpV2Tu6j4Z5a0f8unEsOloHYnIf/hkuv6PkFxCMeVvUUwkAUaEvYdbSY3Aa8zZkak60IOOHPzLx1vd9MeQI79Px5t/iSeI9/IZgzl+xmHBkK2Re/gjetgH99y6EixtwYcpCUdzCrFJkTu/O7kl0G09YBLnDdPslDJq1ETGKZHx2uerZ+qsR3+slzVKiYlQbWAS5Y/Wht+Ft3hjKjzbp7QktjU5HsLO5ztyqohSF6F52DBiKY6/1wZAjJzEplq9/odftj6JY/NWnGSqzCtnCBYD36ZWXWoYTnHiR1sNAxhZBEARBEIQRIWOLIAiCIAjCiJCx1QDZOSBJdL6iZaXI67jmMMcnPX3xv9g80aRnzYnqE7o4w7coXe9WMwAQPbwcpiGz2dYoo5o9q1O2tTyAyVclVXVLb/d+GYqLJ/Hqf/7QhzDxXphU/cFN8TChMDFcGOqbtfZ0jVuraLoqENxV6PMIDwAWCby8y5R9mBHoqDM8GvkNv6ig0de8LyZh6BUAxqx+F/FffwTVawvZsJbmZG9vMzvI3P3wa8xFvWVvVWbD0qPqfmgvLEguL2T1CYhdNDy/8lvc/npatZOzP+npi+LkZKbXoJbtRXJhqHbQ92qEm7niYGjVRPMNps3Qx68R/lxctbBAcK+hveWPgOb9EBYNaN4vzXo5OaYpLPcvYfWiqduyNzojubwQ067sr/a6FBePY8zqd1nY/RZMWMsD9Hr0N4RfbvN5C64shG2VBIThWc2FKcbGthE/GX2VpQP81o+v2pakLANcK3eYudnCtFszRFxXYlYjWzbBOHrTp7AIcsf6TyOwsdcYzPkrFr9uHIsvu7fE1S9+YsNeNxTZWLTtDg6fWCSaRA8AQXIbHI07h7jPl4gmk7t+fRzBzuaYcGQr8nv3wdsHo/FuST5eG2aFZdm8+wIzN1tIs5TI3fo9VFIJmxA+YuEpFLV24+VdvfHW933RfOdG5pXd4bDurhImLnYIkttgXWAIYi9tEA0R/VEUK9J7TshA9PjxECYc2QpHT3MMWRzCdH9942VwrdxRmVWI+aPdcPB8Bf6I282GtSZMDmZuMdbJKjDy+DbMOTuDlXVhykJ83i4Qw3ybYpKKb/frJwSjo3Ugfvgjk113yLBnUDGqDdbJKphvqT+KYmER5A6ulTs+bxeI8p1XEXQplbmgiL20AabdmqE0Oh2Xc8pgffUOVh96G6Mat8RHwR9h2Vx+yPHi6TvY0X00LueU4bVhVkguy8CIhafw1vd90b6zG2IUyTjn6YKw1Cx8dvkzhDlVTRY33X4JLWcvQ0jkeZFvtqUDtqE0Oh1B4z9G3OdLcDTuHGtHX12NgXzGFYx9xhGeoa7YHZun46Ns7DOOuHj6DvNnNfL4NjwzIgSOnuaiyeSm2y9h1tJjcNvYHR2tA7H83QuI3vQpAH74Lz4vDSOPbxO1FUH2bmhjxK3/BKuybmL1obeRdYfXWx8be41BNzMnVnaQ3AanD5fB28xOpLvD4UMou5qHqF3/oSjiAM6Mf47Vi+bQbvkdJSyC3BE57wwbEq8ryNgiCIIgCIIwIkbzs/Xpp5/WST4ff/xxneRDEARBEATxKDBaz9bChQvxySefPPTf08avMRfxzsebdFaRHRjXXO/KqMQpKwHwW89oDk0J+H/zK44MmQrFxeMs7OKOqs1e47/+CFvnN8Z275eZryHNVYMlaYmwHjIIn9jwbuo1hzB/WbQblh4+KD8ey8rW9AGmSPqNrazcfnSHaPNigN/AGQBCvzZhK/+EYS/hXNO3kiZd+i6pGoa8+S8A3VWcwv8f3/we/wzoLBpyslKrYBoymw2faQ69nm30HAqT8hGfp2Sr1X6f25rJlxxcDVV6At44eosN52muOBxj2wglaYmiYUbN1Y4A769L3/2cFmMCSw8fAGBDw5pDoEdGfonCpHy8cfUYq5sxX1f5jenjz28orUj6DT57N4g2AD+4MoYdB/1kplO2cA81fYRFTq/a3ik+twLW8gBMizFhbeXUd1WrMovTEmAtD0DXrbd08m4yfQW8zezwW0KVL68zX1b51UqcshK5kRGwDK3aekV7dar29k2nDn6IV+YP1SlL4Oofq0VDkZptacHRRCzatAjermqMsW2EiPJMkXxQy/awlgcgQK67nZSxWNjGH4ujzkLmxf+f1ciWDXvFfDEL/1s+BF9PfBHf9w3CxdN3MHffaHzZvSU+C5qHX5fxO0wcjTuHPb264t2SfDy3+hN4hroifepbaN/ZDdPaD4K3mR0mxUahx2+fYP0E3pN3z4Aw9PMLhr+jB6y95Gg9ezhbzfXB8Rjs6D4aEdeV6PHjIbwb2hh/rbqEgDkf4tLeTPzVpxnavdsGRa3d4BDWGepbN9BNYoHVh97Gl91b4thrfVDSNQBjn3HEnJCBUJ9MRsvZyzB663C4j3xLdP2m3ZqhqLUb5oQMxLYxP6GH3xD8PeSwaDgoI4ffwsbbvDEuTFnIryjc9R9uDA2HdXg/tokzwPvi4lq5Y2EbL7w2zAojj2+D20beD9kklSksgtxRGp2O9Z9GIEhug/7LdmPnwi7oaB2IrDv8tjQD/EKRey4aY+IyUP7mKLw1yx1fXY3BYbsytHu3DYb5NmWex73mzWP1Frf+E0x6xR83FNkwG9EalifjEPp+CJ5tBWwJW4C/+jRj3s+Xze2BkMjzeDNiITztTBGWoWBDswC/IlTTN1SnTVewo/toHEi4DFVKKtQnk+H34VcYsjhENJRXceImyq7miXYd+KMolg1hlr85CgP8QjF332hWx9szYjBJZQqZlyfCnBzhaWcq8sg+SWWK9p3dsO6XeFwePRGXc8og8/KH+8hXcHl01VQMgF+NOeP9PZi7bzQ87UyRsngxW+0n+Nua1ciWrTpMmP42Kka1wbT2g7B/8EI0lzfCqqybaNbWHJ52psyLvUWQOw4dnQ/Tbs2Qsngxto35CY0WHEbyX+vRzy+YbSX02jArdl0H12TCvLUj1C62cArriy3/5WFrQGPsXNgFfd90ZdsjAYC0qzcAfojUIawzzi55WftRfSCM7kGe4/TvdWUIEomkDjUhCIIgCIKof4xubPn6+sLTU3eD4ppITU1FYmLi/SMSBEEQBEE0cIw+Qf7tt9/G6dOna/X31ltv3T/jJ5SuW/mhKc3hG6cXugPJMcgI7MCGlhZtWsSGxT7p6QuZux/cB09maRZtWgTTkNmwUquwVZmNW9v3seGhD/tOZhseO4WGo3HsWRy9UYFef5+At5mdaPsfpxe6492XbPD3Ueg4+TS3bwFFl3EoK7iO14p7YvvRHYif6SWKczuI3/W+14f/oe/4FqIhyoQsftixIuoLvOnIO2q9tX0fAOCX0ClY9kZnrLhyHNtv/otwM1fRME+RIg7vvsQPmQV9EYdfYy7iyPaBorKFIaRTV6UAxE42f0vIxoiR/LeGviFQt/Bn0SPAEyv/yoC3mR22Tl6FMV/Pg2nIbCRau6MkLQkJWUDZ+u+w7I3OkP24kKUNXzGVlSHkfWbwSMh9BqKk/4eYEeiIYqmMv6/3EMpOyOKde8p9BsL/m18xxrYR4qcOYsPK8bkVaDpqAL69+B9WXOGHhkcl/y667qC3eeejq87fRYhvud4Ve85n97ChwEWbFqGk/4eQt+8ObzM7uIU/y2T/vPcOS5+QxW84nZAF9NrDb9L8Yd+qNmfl4cccnwrDq4s2LYLcZyCs1CoM8TWFv6Mta0evT/wIY76ex1+roy0Kk/KRmJPP0gqrNK3lAZgR6AgfWIrbYDI/LFqd49FBLduLtv3R3ti8ctR4nBzTFC5N1ACg4zR1/ea3MdDvwbZGehA6mzryq99ioxAkt0HEdSXGnvsEf8TtxrGBC9B8dwRCLkajm5kTJr3ij1VZN9mKqZ1d1oFr5Y45f8WipdwbF0/fQfC2DXAf+RYuTFmIjb3GQH3rBj67/BmG+TbFiou/ovzNUei/dyGKIg7AR1kCH2UJAODqFz9h/mg3tvJP02HlnJCBaPduG6ikEjRra47l717AusAQhLewRUjkeSTZWqJ851WERJ5H5vTuMFuzHXGDOjMnodKu3qg4cRMBv56G+zc/sJWSpt2aIeaLWUif+hbiPl+C7Rn8vdXegHl7RgySyzIw9N67rKRrANQutpjxPr9d1InyXKyfEIz1E4LhFnMVX098EX+tuoQB3m4Ikttg1tJj6PHbJ5B5+SNk2DMA+BVogvPSWY1s8VH0YoS+H4KUxYuRvuMHOIUF4dLeTCyOOgunMfxq7Nc3XsbGXmPg7+iByzllmBMyEAk5SVixugdmtm6JMa3ew5i4DExrPwhRoS/h9Y/5YU7PUFdsz4jBtMnHkLBkJvb06oqwDAUKs0ox8vg2jN46HLnnomE2ojWKWrth5PFt6BkQhuBtG9hKy4PnK5B7jt/gemtAY0yYHAzJtXS8W5KPsc+It68RtqGZcXgaDp9YhJ0Lu8C8tSPM3GwxaNZG7EuIxKTYKJGD0cjlUVClpGL01uHo3Nscfd90xc6FXbB+QjBUKanY2GsMVK7WyN36Pfb06ooT5blIsrUEUOW8VqhX4Z6M3joc1l5ytHu3DUy7NYPp9ku4ePoOLueU4UR5LuaPdsOVyQsQN6gzjg1cgN2xeQi5GI1+fsGw9pKjsTMwJi4DsZc24HQXN+zssg7LY+/ix13FrK10DBgKt5ireG71J5i7bzScwoLYUOK53DzcGDEB+2cNRYwiGVGhLyFacRdbAxojqn0Q3g1tDNNuzfhtnpzNUTGqDS7n8E5d9316+b7PriHQakSCIAiCIAgjYrRhxOXLeb9OHTt2rHXaLl26sPQEQRAEQRCPM0YztqZOnfrAaYODgxEcHHz/iARBEARBEA0cGkYkCIIgCIIwIkZfjahJbm4uNmzYgL///hsKhQKVlZU6cSQSCU6ePFmfajUokjOlGLP6Xdzeuw4uk2YjOVMqkgd9vRMzXumNplf2Ys7XY9DDohCK0HBYeviiWCrDsjc6407Ev3jeohCYYofitATMCHSEW/izaDJ4Er69eBwXlx1EuH08Mja/DVnsWVh6+MKvADgWl4pOe3fg24v/AeAnJn8ZlYr4XH7H+19Cp+DXqZ/jy6hUHFwZA7PugZh6MAPm9i1QtOdXTHMZhBXeMpiGzEZF1BeQ+wyEi6saRfIAlBVch+q1heiTp8Sf967FzwXwc1Hjz/1A3mXg5w2f8ZPGO07GL4t24xe4oGgvPwHbZcY36NncFNaLdqNIEQdreQAOxd+FuT0/Af/LqFR8EOLJyjYNmY13X7LB18cH4sXWajQPm474b+bANGQ2bHNiEadQMR9K7oMn45PICLiHxWJDp3l8nXr4AMkx6ONvh7bzB/N1VnETGNkMhxKy8c70FcDmG1h7hkOfiQshP7UZJf37wNtVDacXmqJYKgPiUiFv3x3AJiSXF+LI9oFIzMmHzOxZWKlVKE5LwLI3OuPbTZfw60wvfNlpHt5p/wwUP69As1G8X7P2s/oiNzICl79uiq5bZ6OPvw3+xmAEACiWyvBJT1/c2r4PL877HglZgL+jLd5rZ4uESfz1N39mOtYHdsDADVlYNMgSvkXpKOn/IUoA9Bo+AP5ffwSnK3vx28RxKIk9iwldnNFk8CQ0GQwE7V2H4uRkvDJyKH5ZtBvf9OV9CB1KyAa8n8EY20b4Q1WKF+fNxs3t/ETmb/o2RnyeEs6/lgOJrmh7ZS+ObJ+G9J9XwM7HAb5F6VB4+CDczBUR5Zl4ackbeGffaSh+XoF8AK3kMlR2sUbEvXntL86bjYQswC0vC118ktFk8CQsA1CcnIxjpXbYueMu4nv6Y+z+g+iQfQWq9AQsW7SXTYZftmhvtc/aVmU28EJf/KHi23eKSvztWbloPOK9vQ17cOsAVVoiBvTg/YZ1M3NC876NsOLir4hW3IVvYgUycgAgE2G9LfEumiHg19OIVmzDqlUvYNrkY/h6Ym/sSryF5js3YtIr/tjyXx5iFMlw9DRHyuLFCJjzIT6P+g1zQgbCX5GMIUdOItjZHMuylXAK64v0HT8AABw9zeEUFoSuI/3RbMcvuPl3Gb6fHoQbimy2nZD61g04hQXB83AU0nf8gmFDw/HXqj0YsPMquFbuKLuah13Ot/Beahluvv8TXNwAz1BXRIV1RkBWKSxP8n7w4vcvh2q6BOpbN5C79Xtc2psJFzdxvbTzNcVrbYPhFBaE5e9eAAB+Yn/KTRyztcSBhMvYeM8nFQCUvzkK8Xlp6GbmhJ5Nm2N6qz9RvPw8pl3agFWRGQjetgFjn+EXI1zsdgfSLCX+WnUJkz4Ox7pf4uF3/Xsce60PlDujkJeaidZhnRH6PtAjvB9kao75nSqKOID4xnIAwL6ESAzwC0VMS6Drcn981W0+5iwBpkQugKOnOeSHy1C02BRFKQoA/BZMHwV/hNeGWUE28hUca9ka8XlpkDZtzvusatocE45sBQAk5CQh2Nkcz63+BOsXL0ZeKu/bqp+tJYYcOYnLoydiy4g8RFxX4rJLGSpGtYHp9ksA+O1vLILc8d6ITbAIckdRazfYufDbIqldbDF9w59o39kNn0f9hp0Lu6AoRYGbf5fBfeRb2JcQCf83RyEqLw27Em8BjWwxL6QD8nOSEN7CFu7dRwM7fsCuRra4/Fcsgp3NUdTaDabR6exeCIs2Pm8XCLQPwjxHDxyQX8b6a+koP3ET+2fNR3xeGgLmfIi4z5fg6hc/YXdsHrzN7JAamQlPHEJRigIubryvrHNL3kVyWQa8zRvjj6sZzK+ZwPJ3L2DEqdZYHBuF936Lh6OnOd6a5Y7USFOk7/gBZikKOIUF4eTyKKx6PwTvKvKx5b887OnVFc0nNkLPgDAk5CRhXWAJTpTnQpUSj1YtACQ85MONejS2YmJi0LlzZ+Tm5lYbh+M48q1FEARBEMQTRb0ZWzNnzkROTg4kEslDOTolCIIgCIJ4nKg3YysyMpIZWm3btkVAQABMTet1FJMgCIIgCKLekXD11M3k6OiIgoICjB07Fhs3bqyPIh8bCgsLYW9vj5W/HUdrTzc0jj0LgHcoWiyVQfHzCgD83KJrChXi85ToEeCJxJx8fg7MxeOQvzoNiTn5AO7NqblHH79GOJSQjaM3+Hkpfi78/nkAP7/H19kBiTn5WPlXBhKygKI9vwKo2ltQcKZpmxMLpXMgbHNicTuoBWxvq6FsIoXz2T1sDlWp3yBURH3BjkeMNEWAXIZD8XeRkMWXnZDFz89yDAYOjGuOY3Gp+OS7u2jbk3c+arl/iUF1VtL/Q3w1yBIzfy3BG50k7Drjcytw6qoUXw2yRA+LQnx7xxx9/BrBt+jePALvlkjMyUere/O13jh6C0vt46FKT0BuZATcX50AVXoCStKSIG/fFU4vdEfuhePsXnx78T9WBgBWdnyeEofi78LfyZSdA8BAv0ZI37saF5cdxCsXeEeE6XtXQ96+O3/f2neHlYcfu674b+Ygeuc1vHLhINL3rmZ6AEBGYAe0ksvQdestfNO3MVrJZci9cByKiyfZfoq5kRGwujfPqDg5GYVJ+Wg6agDk7bvj9t51uBPxL9zCn4W8fVcoLlbNjbT08EFuZAScQsP5eWbe9/ZDS46BlYcfiqUyHGnbDQDv0FRx8ThK0pIAAPL2XZER2AGVi8bDKTQcMnc/bJ28CgDQpYs1nELDcXEZf+0uTdSw83HAqVNFbD9KYe4XwDsWTVGZYOj8PihJS0KTwZMA8M5V7Xwc4BQajpK0JFzrOwOrzt9F0Z5fkdNhCJzP8k4trYcMwoHOlVBcPI7cyAjEn1fyc7MeggqOwwWVAgUFBbCz079X58MgPP+n/zqEVlzVvLH8c6fhNOZtHI07h+a7I/DjrmJ42pnCbWN33rFpbBQu55Qh2NkcO7qPhkoqwdG4c3j7YDTSp76FGEUy4vPSMMAvFBemLMQL3y3E51G/oZ9fMFrKvTHy+DYAwI7uowEARSk3AQDSps0hU3OIUSQDAFrKvRGjSIafsw+Oxp1DyMVoFN2b+6JKSeXn1oS6Ir93Hww5chI3RkxgaR0OH0JqZNW+o56hrnAI64xJsVEAgHWBIbj6xU84eL4CfV8yhaOnOW7+zTuTdHEDnhkRAuvwfjgadw5z/orFjRETUJRyEyfKc+Hv6IH4vDTM+SsWhVmlsHOxQLCzOS7nlKEwqxTvhvLzeVZFZkCWWYSvJ74If0cPLI7i36/DfJtizr25RlG7/kNRaze8G9qYOThdZekAAKz8AX6hKEq5CVVKPJzC+iL33EHcuTfXalfiLcwL6QA/Zx8AQO7W75EamYmsO0DX5cMxuc/38Dazg6edKXPCCQAdrQPx/qoX8N/OKDh6msPai58DJtSpQ1hnUVsoijgAAJB5+cPaqxm7LzI1h30JkQCAG4psRCvu4nJOGdQnk1GZVcjmaEmupcNsRGsUZpUivIUtaz9Bchv08wtGfF4awjIUONdYjjl/xaLsKr8XrjRLicqsQnCt3NG+sxuG+TaFv6MH3GKu4k7L1qxOg+Q2iFbcRZDcBlv+y0Ows7morc8L6cDuWfnOq/jf8iFsnhQAuMVcReTyKLQZ7Ar3kW8hfccPkHnxO9CoUlJxcE0mUgv5tpJ1B6ydAMC/14DGzkCbwXxbFNqeo6c58lL5NiUcZ93h99kcsjiE3UtVSirT0yGsM/LPnUZRigKVLlZ4ft6Kh37+6201Yteu/A+GXC6vryIJgiAIgiAeOfVmbH311VeQy+VYu3Ytdu/erXclIkEQBEEQxJNGvU2a8vb2xubNm9G/f38MHz4cZmZmcHFx0Zm3JZFIkJBQB+ssCYIgCIIgGgD1Zmz9/fffGDZsGJskX1ZWhrS0NCYXwsn1A0EQBEEQTxL1Now4e/ZslJSUVCsndxAEQRAEQTyJ1NtqRBsbG5SUlEAqlWLIkCHw8fGBhYWF3rgLFiyoD5UaDMJqpJm2AXjGUgKXJmo0/2A6AECVnoDdiw4hxLcczT+YDsvQfph26AZb3beiT3OURB7ABtNmopWHeZcBZRMpvF3VyFr3hd5yhVWDtjmxKCu4zlYgVoe1PKDaONbyAABVqxjlPgPRbFQgVvRpjsScfLZa79RVKWxvq9G2J7CiZSVK0hKREdgBvs4O6NJ3yX110OTFebxH9R4WhShJS8QG02ZM9k77ZxA/dRBbvQYA/lM/5z27A2yFJwC24i8jsAPvYT0tEek/b4T7qxNg6eELADhWaodD8fwqJeEalE2k+G2iC1rJZXjj6C2cusrXd8/mpsw7vbBqFKhaJfpO+2eYB3lhdaSwerFD9hXc+PJr2Pk4IP68Ev4v2SLo651MbyTHYFqMCd5r17hqhSWA23vX4eCm62yFnybffjoeMnc/3Pjya/wvNo+Fe5vZYYivKZqOGsDqqMngSShJS+Q9+QMoTktASVoiIqZ9o7OqL9zMFV26WCP+vBIpKpP7lh2VaIaI8kyEm7kCAEurb7Xgt5+OR0laEu5E/Ius21Lm3T0JJegos0Cvv0+g3+YbrJ0Lq2LlPgPR972W6OPXCCv/ykAffxu0Ovg/RO+8BgCsrGVv8Ku8qqszTeprNeKGo+swKLgHWwnoFnMVMi9/AIC1VzPEfb4E1l5y5PfuAwBsdeCuxFsAwFbDTTiyFfNCOrBVhALxeWm4ocjGul/i8fXEF0U63FBko7m8EQBgV+IttqoMgGjFWrTiLob5NkXIxWjIvDyZfqqUeKhSUuE+8i3knjsoylvfKi/NFWapkZn49xrQubc5yt8cBR9lCay9mmHk8W2IuK6ELLMIAL8iTu1iC/PWjhj7jCOayxuxFYnCCrwgOb/SWvtYuI49vbqK6kO41i3/5aHsah5ivpiFo3HnAAA9A8IgU/M/jzGKZLSUeyP33EE4hfUVnQP8ikVhRZ2An7MPiiIOwDq8H4oiDmD5uxfgaVc1mCSsShzVuCVSC/nV4p52pmjsjHu7BfCr6wD+/NlW/HHr2cNZfcu8POEU1hdxny+5107krG5lXv5IuudlHgCCnc0RcV2Jd0Mbi+51xHUlwlvYsjr6vF0ga1MXT/NL/sxbO6Iwi18xHN7Clq0q9Hf0EK1WBQCZmmP1tC8hEj0DwqCNZrsd5tuU6bKx1xgURRzAnZat2crWopSbsPbi3+0XpixkdWDt1Qy55w5C5uXPVtAKK2qT7u0s0M8vGD7KElZfAjIvT/y3Mwr/XqvS6Vxu1btx/mg3tvrXP7AM/Q7seOjnv96GEe3s7FBSUoL33nsPX331VX0VSxAEQRAE8Uipt2HEIUOGgOM43L17t76KJAiCIAiCeOTUm7H12WefoU2bNtiwYQM+//xzpKSkQK1W11fxBEEQBEEQj4R6M7bkcjn++ecfqNVqzJs3D02bNoW5uTmkUqnoj7bwIQiCIAjiSaLeLBvBrYPg2oFWHxIEQRAE8TRQr91IZGDVzLnybGRI7PFOeBs4vdAd1xQq+Ib2Q8j2fWj+wXRkBHYAcvLRx98Gq7L4lX3TcAN9/J/D0fN3ESDnV7T5uQDJTfgVc8mQwrKa8ooUcbBO+BUKA1YAWssDYG7fgqXTRlumSPoNfx+djW+d/mMr8/ydTJHgWoFkSJGQpQb6tATSEtE49iys5N1rtRIR4FcF9vEHrDz8YOXhh/ijt5CQxcv6+OUDAHYvOgQA6Due12/aoRsAgBXt+dV2t/eug6WHD5xe6I65R2/B38kcAY2eQ4dXJ8AytB+QHIOStET4B3YAcJfl7xgMjGguQSu5DMVpCXivnTsSsjIAAPG5FejjZyvS9VBCNtae4e7Jb+C9do0RX2qHgWoVfJ0dqvZWbNcBz6/0xT/vvQP/lxxg5e2NYqkMx+L4lTT+ju7o469ke2ICgMzdD/L2XdElORkRR3XrSVhpqE1yeSGybjdCc3c/yNz92ApEAMi9cByq9CrnwsLehZokoQTx5yvh0kSNrbE17z/oFv4svG5fA8qBiPJMeJvZAbBG0IhWmHFvxaGwUjDczJXpbOfjACAfuM3rkFxeCMgaQfHzCnzTdxwONef3w0TrQUjIAno2N8UHIZ4oTktAH387xClUGDj1cwBzUJycjDHneX0sPXwgc/dDXwBJm0r4fLXgdQQac+a4oFLUeH11wctNX4BMzUEllfArqVryexgC/Go4vDkK+eBX0QFgq7+E1XQAkJCTxFZ3CXEScpLQ40f+OZBlFkFyLR2zlh7DhMnBaC5vhF2Jt+6tOOT30wOAyzl5bL9BoQzNFWz+vfuw8hNyktAyrC9bCWYd3g/qWzegSolneggr5ACgKEWBS3v5FaAZOfyKu8bOgPvIV5AE4ER5LnYd34aLp+/A+t6efABQCaAiOh2Sa7aIfrcNmssboaXcGz7KEgwICYVKKkFRxAHknovGKwDbZ1BYNZkUYslWCAKAj5c/ugU6AQD6+Vkivl0a1LduoJsZHyasblOlxIuuD+D3i+RlqShKUUDm5Q8f8KtGVVIJEnKSWL3sizuHG7IKvL/qBbaCEACe3Qlk3bm3t981/qdYWH2oibD3H8Dv7SesrEuNzAQiMyHz8odTWBAil0fBJZUP4/ONQuvZw7GnV1fWZob5gu3xKG3a/F6u/P0vu5oHaZYS06/mQeVqzYtcrWHnYoHLoyeKdErIScINRfa9FYQ+fH3cu+cp56JZO7ihyEZPoQ3cW9lZlHITA/xC2T6VwqrEiOtKrJD/CsiALUdOojCrFJ9H/YY5IQNZOmH/SGF1otO9+5KQk8RWRwL8MxKtuIstR07i83aB8G/ZGi3D+gIAuz+tZ/sDX/zE9kkEgOQy/h2+aBt/7F3eGKrrNro35QGoN2Nr06ZN9VUUQRAEQRBEg6HejK2xY8fWV1EEQRAEQRANhnqbIE8QBEEQBPE0YrSerQkTJgAAhg8fjh49etQq7dGjR7Fr1y5IJBJs2LDBGOoRBEEQBEHUC0YztjZv3gyJRIJWrVrV2ti6du0aS0/GFkEQBEEQjzM0jEgQBEEQBGFEjD5BftasWZg1a5axiyEIgiAIgmiQGN3YehDfWoLj09qQnp6Offv24cyZM7h+/Tru3LmDwsJCyOVytGnTBpMmTcKgQYN00qnVaqxfvx5bt25FTEwMVCoVPDw80KdPH8yZMweNGzfWW15cXBy++OILnDx5EhkZGbC1tUVwcDAmTZqEV199tdb6A8BX80bB2a8FMgI74LeEbKw6fxdABt5d9iPmxt/FqQ1Z8HZV8360Mnk/WqcgxamrJQCkOBRfte+ktyvvYwsATENmwzYnFkrnQACAsokUTaKvo6zgOsztW8DcvgWTCVREfQEAkPsMhNI5EDlNpPB2VcMMgcCeX0U+seQ+A3E7qAW8XdUoyfwQtrfVfHngfU4BKgTIZfzfS2B6HotLRY/QfrBSq/BbQjZcJs1GcqYUlvuX6NSN4OerrOA67x9MHoAXW/PbPV1T8L6q+vjbAP58/vF5SvSY/hmsvNfxOrbviuK0BPg7md+roGdgpVZB3r4rK6OPv8093VTwD+wAX/A+vADcy1+JVVl34e2qRs/mpsx/mCDv2Vzsa8rX2aEqLYC1Z3gnXQlZvN8tACiW3vNB5mgLfycV4vOU8A1oCbfwZ5luVmoV/B1tEZ+n5K8rwBNIjoHM3Q+q9ASo0hMgb98d7q9OwIykr7EnsYL5jQo3c2U+pdzCn8UM/Is9iRUAgI4yC/i/ZAtLD1/AuyWu5eTzOnu3ZL7ZBF9bE7o4Y+MpiPxRDfE1hVt4KwDADPyLqEQzRJTz/pO8zezgo+HhzdLDBy5N/kV4oiuSUAIAiD+vhD+SYefjALdwb4zZeQ1/qErRpYs1ipOTAQBOoeGw8k6CXXIycB6ArBH8X7JFbmQE3N398MEL3VEslcFKreLrMy0B8d/wPrXahoajR/vuiP9mDu5E8PoloZTXa9lBnTamDx9Y4j8UGRT3YVFJJTCXSnA07hy2/JeHaMVZDPPl/SPdUGQjWqG7r6x2eHxeGm4osnFDkQ2/9j44GneO+TGyc7FAIQAZ3KEGsCoyA3YuYn9aAsHO5rh873+Q3AbT2t97d8adAwAsjjoL4CwAML9efk2bIyYnifcR5hfMfFOpUlJF/qWsveRwSeV9QQHAX4kVaOdrivxzp+Hm5Qm/8H4AeN9eAJgPscIs3tdbhYYsfccPKEpRwNpLDpmXJ1QpqchLLeN9Jx3ORGphBTztMtHYOQptBruiyMsTueeicfPvMgBRzM9Xm8Gu6BbWuepepMQj/9xppEZmwtGTf2fIvPwh8/IHAJHPLe17CFT5QIOag7+jB24osrFOVgEENEa0Ip+v09WfMN9Tz0klUN+6wcqOXB4FgNdL5uWJ1l7+UKXEw+meryi+/NOsXKewvmhzz+fXzb/LmN+o/HOn0XLkWyxeS7k3qzP3ka/wfqnutQ/pPZ9mkqxCWGfZQe1iC5WrNYKdzUU+xwDAL7wfmuelobm8EdS3biD3XnjuuWjkpZaxOgOAFRd/5duD3Bu55w4i91w0nMKC0DKsL4b58u0VAIJCbdDPLxgHEi5j7DOOiHa+i2jFXd7H3L325RQWBKewvqyeE3KSAFtLHEi4jGjFXQQpstHPL5iVHexsznxv5Z47CFVKKtzv1Ye1V7N7evL1JfjYAu752DJvDG8zO6Qpy/Te69piVGPrQZ2YPki6rVu3Yu7cuTrhWVlZOHz4MA4fPow333wTq1evZjKVSoUBAwbg2LFjojTx8fFYuXIltm3bhqNHjyIkJEQkP3ToEAYPHgyVSsXCcnNzceLECZw4cQKHDh3Cpk2bHshoJAiCIAjiycJoxtbp06fvH8kICL1SXl5eiI2Nxc6dO1FRwX/Jr1mzBkOGDEG3bt0AAB999BEztKRSKSZMmIDGjRtj8+bNSElJQV5eHoYOHYpr167B2pr3qJueno6RI0cyQ6tFixYYPnw4rl+/jp9++gkAsGXLFrRt2xZTpkyp78snCIIgCKKBYTRjKzw83FhZ68Xb2xs7duzAq6++CqlUysJ79OiBMWPGsPPDhw+jW7duUCgU+O6771j47NmzsXjxYgDAyJEj0bx5c3Ach6SkJGzduhWTJ08GAKxcuRIFBQUAAFtbW5w9exaOjo4AABMTE+zYsQMAsHTpUkyePFmkC0EQBEEQTx9PzGrEESNGYMSIETrGzcCBA0XnZWX8+OuxY8dEw4CDBw9mx4GBgWjVqhU7379/v97jTp06MUNLO4/09HRcunTpAa+GIAiCIIgnhSfG2KqO2NhY0Xnbtm0BANHR0aJwX1/fas+FuKWlpaL8akqjrwyB0tJSFBYWiv4Igng6oOefIJ4+nmhjq6ioCG+//TY7DwgIYCsFc3NzRXHt7OxE57a2tuw4J4df2qFQKEST92tKo5lOm6VLl8Le3p79eXp6GnpJBEE85tDzTxBPH0+ssZWdnY1u3brhr7/+AgC4urriwIEDkMn4pfbaKx5rOhdWFdYmjWY6bebOnYuCggL2l5qaauhlEQTxmEPPP0E8fRjdz9aj4L///kPv3r2RkMD7CPL09MSxY8cQEBDA4jg5OYnSKJVKODg4sHPNrn1hXpajoyMkEgkzqpRKpSgP7eEAzflcmlhYWMDCwkKvjCCIJxt6/gni6UPCPagzrAZKZGQkBgwYwIYJn3vuORw8eBDu7u6ieD/99BNGjBjBzqOiotCmTRt23rJlS1y/fh0A0KtXLxw+fBgA0KxZMzZvq2/fvjhw4ABLs3v3bpFD0wsXLqB9+/b31bmwsBD29vZY+dtxpJZJEZ9bgYQsIO+yOJ5Fwq8AgFK/QewYAIoUccz5qLJJ1QIB29tqveUJcZpE89en6dDU8Z4/OKFs5T1npgDg58KHnboqZY5LBWemfi6AvxNvuwv6+7nwjkIB3mmnJvF5SlG4cA7gnjNXPn0C7wdUJ3+Az7tHAD8Ew5xaSmVIvOec00qtQu6F47D08EVJWiIAwDKUd5iI5BgAqAr38IWVhx+uKXjHov6OtiyP4jTeaId3SxyLS4W/oy1ayWXMmaamPDEnH0CVQ1NBt2KpDN9e/I/pLlxLH79G8HV2QGJOvqhOfIvSAe+WLA9NuXDNwnWUpCUy/XMvHIfi4knmFBTgHYPK3HnnrKr0BORGRsDK25s5O3V6oTt+S8hGnELFHLUK15h74TjLR8hXSKtJSVoSipOTEX/+3jW8ZCsqW5WegJK0JNyJ+BcAkHWbb4MuTdRwC38WAJjMLfxZ0TEAFCcnozApH3Y+fL3Gn1fC/yVbOIWGs/IFnXIjI5hc4NQp3jGp4FBV0znr/ajgOFxQKVBQUKAzdaAuEJ7/DUfXIbmsCNGKu7ico+tIUXDqqe2AtOxqHlSu1ng3tMoBc7TiLob5NtXrDDVIbsPChHIE56UA0FzeSBTf39EDLeXeACByJhmfxztc7RkQpqOr4KxTcISpSuF77wTHo0UpChZXcIJp7SVnDkpZPl6ezJGnJoJT0atf/ISsO4CLG+DoaY68VHG9/XuN/9/YGWjWtsrRJu/UlMfFDfAM5Z2HCk5LAYj0FnSR3XMuWhWHlzvcc4hq7dWM1ZFQByqpBAn3nL0CVU5axz7jKKprwbknAMwJGQjVPQe3gqy5vBH7D4A56xTug7+jB/ycfaC+dQP5506zuhPKB8DkAJBka4n4vDTm9Pbi6TvMsSnXyh0qV2vYuVhg7DOOzFGoZjsQ8vRRlkCVEs/qRnBgax3ej7UTQVehfGuvZqJ8hDh+zj4iXYV6VEklzLGqcG80EdqIEE841rwPuecO3ruP/iyP/3byzmP/vQakFlaI3gthTo5o7AzcyizD3IQdD/38P1HDiLt370a3bt2YodWnTx+cPXtWx9ACeJcQml+Xe/bsYccxMTHM0AKA/v37s+N+/fqx4zNnzojmfv3888/suEmTJjrOUAmCIAiCePp4YoYRd+/ejWHDhrEhPhcXF3Ts2FHkMR7ghxSHDRsGR0dHvPXWW1ixYgUAYNmyZcjLy4Obmxs2btzI4nt5eYn8dE2dOhVr1qyBUqnE3bt30bFjRwwfPhwxMTEig2327NnkY4sgCIIgiPo1tm7cuIGVK1ciKioKCoUClZWVOnEkEgmba1UbYmJiRBPUs7KyMGfOHJ144eHhGDZsGABgyZIluHr1Kk6ePAm1Wo21a9eK4jo4OGD37t2wsbFhYR4eHti+fTuGDh2K0tJSXL9+HR9//LEo3ejRo/HOO+/U+hoIgiAIgnjyqDdjKyIiAr169WJORfWt3OM4rl73E7S0tMSRI0ewfv16/Pjjj4iJiUFpaSk8PDzQu3dvzJkzR+8QZL9+/XDlyhW2EXVmZiasra3ZRtTDhw+vt2sgCIIgCKJhU2/G1ty5c1FaWipazafJw87TX7hwIRYuXFjrdKamppg8eTLbjsdQmjVrhk2bNtW6PIIgCIIgni7qzdi6cuUKM7QGDhyIwMBAWFhY1GtPFkEQBEEQRH1Tb8aWlZUVSktL8dprr2Hz5s31VSxBEARBEMQjpd5cP3Tv3h0A78mdIAiCIAjiaaHejK0lS5bAwcEBmzdvRkxMTH0VSxAEQRAE8Ugxmgf5CRMm6IRdu3YNUVFRkEqlePHFF+Ht7Q0zMzOxQhIJNmzYYAyVGiyCB+kmL/8K+wLeG3BZAe9UtUgRpxPfWh6gE24t57ciMrdvAaVzIGxzYnXSlRVcZ3KA90hvbt+CyfV5oBfONb3IJ2QByZlV8bq0rvJUr+3l3d/JVOSVHBB7ixcQvJf7O9oyD+5CXE2ZECZ4eAeqvMcLFEtl7Fjw3q7pYZ6FpyXAysNPlE7wAA9Ab/6aXuOFtIIHeSsPv2rLAoBrCrGemmVoI+itmV6ku3CNyVUfLlYefihOS2Be8QUsPXxF54LHec10mrppeqoXecjXSiuUI3iHB8A8zOtD06t9YVI+8yIveHrX9hAv4NJEzeIK/KEqhQ8sAQBeskqkqEzgJatkcVNUJkwmxNekIXqQ91wyGyYy3tGy4C0eAGSZRVC5WrP/2h7kC7NKYediIfICL6DtPR4Ai6PpRV5Iq+nRXPD6Deh68wag4+mb6avHg7fg+Vsf2t7HAaAoRcE8yzuFBdWQVuyNHgDzQC94qxeOtdNphgtexTU9m2tei6b+mt7LNT3OC+k102rXFSD2+K5NTbLq4upDO71mXG3P8wLCbgMR15WsjelrU9oe7H2U/K4MQt0Vpdxkx9WhWZ/64go7DwDQu/tAXmoZsu4AGTn87gBA1S4CfJ5ynTwFNNtFamQmC8+6w//PyKmKW5ce5I02Z2vz5s16J79LJBKo1WpERkYiMjJSJBNcPzxtxhZBEARBEE8uRp8gX13H2RO2JSNBEARBEIRejGZsdezYkdw6EARBEATx1GM0Y+vMmTPGypogCIIgCOKxod78bKWkpAAAHB0dRXsNEgRBEARBPMnUm+sHHx8fNG3aVGezZ4EtW7YgKCgIzz77bH2pRBAEQRAEYXTqrWfrfuTk5ODatWs0z4sgCIIgiCeKeuvZuh85OTn3j0QQBEEQBPGYYdSeLX2OTXft2oVr166JwoqLi/H7778DgI6TU4IgCIIgiMcZoxpb2o5NOY5DVFQUoqKidOIKDk39/f11ZARBEARBEI8r9TJnS9OBaU3OTDmOw5QpU+pDJYIgCIIgiHrBaHsjAkCnTp1Yz1ZERAQkEgmaNm0KT0/xPlVmZmZwd3fHK6+8gn79+hlLnQaLsDeaS5NwmJg82jUL1vIAmNu3YHszau6dCIDtq1gdjsH6w/1c+P/+TqZs30RtqttHMe7evn2CTFMuoLnHoOb+hvrkmghxfZ0d2LGwN6BmGb7ODlV7FGrsFQjvljp7M2pSLJWx/QuFvQsFtM8B6OxrWBOWHr6i/Qk1kbn76Q2/HzJ3P9Heh0J6Ye9Dvlwf0V6IhUn5OvnY+TiIwjX3Nqxu/0JNeVRi1XSCJJSwYx9YIgkl1e5t6G2mf++y2uyFqE197Y3o5N4JJiamMHOzrTG+iQuvg9pFHM+8tWPN5dzbb1F7b0VNgp3N9YYL++Np7p0ocEORLTrXjHNDkY3m8kbV7vWnua+isIeisCde7rloWHvJIfPy1NmDEBDvxadPppJK2N6Gmmjv3SfsX6iJ5l6Ggp5CXrnnDjJ9pE2bM901EcrWzFufLvrQp7e+vQS19dYuT1tmSN5A1TXVlLfmnpH5507zYVr7T7LrubcPob441ck097zMSy0DwO97KBwL+yKmFlYgubwQ3mZ28LQz1btPYnUI+ytqI+yNKORdXlmO/YrDDXdvREDs2NTEhH+xvv3225g+fboxiyUIgiAIgmgw1Fs3yoIFCwAAL730Un0VSRAEQRAE8cipd2MLAG7duoVLly5BoVDAwcEBISEhaNq0aX2pQhAEQRAEUW/U6wShxMRETJ48GSdPntSRdenSBT/88AOtRiQIgiAI4omi3pya3rp1Cy+++CJOnjwJjuPYqkTh+OTJkwgNDUViouEThAmCIAiCIBo69WZszZkzB9nZ4lUr2gshc3JyMHfu3PpSiSAIgiAIwujUm7F1/Phx5gZi0qRJiIiIwM2bNxEREYHXX38dAG98HT9+vL5UIgiCIAiCMDr1NmerrIz3j/HKK69gzZo1LDwgIAAdOnRAXl4efvnlF5SXl9eXSgRBEARBEEan3nq2nnvuOQBAy5Yt9cpbtWoFAGjTpk19qUQQBEEQBGF06s3YmjdvHjiOw+HDh1FRIfYgrlar8fvvv8PExAQff/xxfalEEARBEARhdOptGDE7OxudO3fGmTNn8Pzzz2PYsGFwcXFBVlYWdu3ahZiYGPTu3RtpaWn48ccfRWlfe+21+lKTIAiCIAiiTqk3Y2vcuHGQSCTgOA7Xrl1DTEwMkwmrEg8fPozDhw/rpCVjiyAIgiCIx5V63/VYWJF4vzCAN8KqkxEEQRAEQTwOSDhtZ1dGQtiIurZIJBKo1eo61qZhUVhYCHt7e7g0CYeJSb3bv7XCWh4Ac/sWorCyguvsWJApnQMBALY5saJzZRNptXl7u/L32c8F8Hfi6yE+l5/fl5AlDheIz60QhQXIZew4TqHSCfd3tBWnz1OyY39HW9G5kD5ALmPpfJ0dYKWuyrdYyuerGaZNcVpCtTIAKEmrcuSrSteNW5KWpBNm6eGjE6c4ORlW3t4iuZC2ODm52vILk/JF53Y+DjqyrNv8fXNpombHAJCiMkESSti5DyxFeWnKtOMkoQTJ5YUs3NvMjsm1ZY+SCo7DBZUCBQUFsLOzq/P8heffyb1TrZ5/iyB3AIDapapNq1ytRXHsXCz4MrJKAQCyzCKdONUhpBUIdjZnx0FyGzSXNwIA3FBkI1pxVySrCSGdv6MHACA+L40d+zn7QKbmUJRyE6qUeMi8/GHt1Qwqqe5Hd0JOkiitgJ+zD5NplqOZv778tPPVpmdAGABAfesGC5M2bS6KI1OLf041y9GW3Y+ilJtV+aTE3/ufCpmXJ6sXzbhCfQl6CeUJsupQpaSiKEXBzq295FU6e3mKytVMI5AamcmOHT2r2ohAXmpZtXJDZFl3+HMXtyqZEJaRA6QW8r8RnnamaOxcFc/R01wnf83zrDt8+sbOVflm5Ny7psIK9v4pryzHfsXhh37+6+2XvbKysr6KIgiCIAiCaDDU22pEgiAIgiCIp5FHMmZ1+/ZtXLhwAdnZ2XjxxRcRFBT0KNQgCIIgCIIwOvVqbCmVSrz11lv46aef2ArEZcuW4ebNm5gzZw4kEgkiIiLg4eFxn5wIgiAIgiAeD+ptGLG0tBTdunXDzp07UVlZKdqEunfv3sjIyEBSUhJ+++23+lKJIAiCIAjC6NSbsfX999/j77//1iuztbVFhw4dmId5giAIgiCIJ4V6M7Z27twJAJDL5Thy5IiOXNg7MSGh5mXyBEEQBEEQjxP1ZmzdvHkTEokEY8eORY8ePXTkjo6OAPjJ8wRBEARBEE8K9WZslZeXAwAcHBz0ynNyeG9iT7oDU4IgCIIgni7qzdhq0qQJAODkyZM6spKSEvzyyy8AUGcrESsqKtCmTRtIJBL2N27cOJ14arUaa9asQVhYGORyOSwtLfHMM89g6tSpyMjIqDb/uLg4TJw4ET4+PrCwsICzszO6d++On3/+uU70JwiCIAjiyaDejK3w8HBwHIezZ8+iT58+LPzQoUNo27YtkpKSIJFIEB4eXiflLV26FP/880+NcVQqFfr06YPJkycjMjIS+fn5UKlUiI+Px8qVK9GqVStERUXppDt06BCeffZZbNy4EcnJySgrK0Nubi5OnDiBYcOGYdy4cainXZAIgiAIgmjg1Jux9d5770Eq5fdUO3r0KNtg+vTp07hxg99rSiqV4p133nnosqKjo7Fo0aL7xvvoo49w7NgxVvakSZPw8ccfw8vLCwCQl5eHoUOHoqioiKVJT0/HyJEjoVLxe+G1aNECn376KYYPH87ibNmyBd9///1DXwdBEARBEI8/9WZsPffcc1i+fDkA6PT6cBwHiUSC5cuXP7Q3+fLycowdOxbl5eUICQmBu7u73ngKhQLfffcdO589ezbWrl2LTz75BMeOHWPGYFJSErZu3crirVy5EgUFBQB4lxVnz57F/PnzsXPnTowcOZLFW7p0Kc0/IwiCIAiifvdGfOedd/DHH39g0KBBaNSoEaRSKZydnTFgwABERERgypQpD13G4sWLceXKFVhYWGDLli0wNdXvJP/YsWOsdwoABg8ezI4DAwPRqlUrdr5//369x506dWKrKLXzSE9Px6VLlx7uYgiCIAiCeOyp970RQ0NDERoaapS8r1y5giVLlgAAPv30U7Ro0aLauNHR0aJzX19fnfOrV6+K4paWliI2NrbGNNpltGvXTqfs0tJSlJaWsvPCwsJq9SQI4smCnn+CePp4JBtR5+bmAgCcnJzqLM/y8nKMGzcO5eXleOGFFzBjxgyDdBCws7MTndva2rJjwS2FQqEQDYHWlEYznTZLly7FJ598UqN+DZmygusAAHN7XWO2rOA6zO1bwDYnVhTXgoUDSudA2ObEsv8Cec6BAIDkJlKcAgdvVzWSM6VMnpwJFl4VxscFAG9XNY7iLvxceFlCVpVe8S53AQD+TlW9mQAQIJdVxclT6r3eOIU4ja+zg954hlCSlghLD1/ROQCo0u/vzLc4Ofm+Mn1xipOTUZiUrxNu5+MAAMi6LRWFZ91WwqWJWiRLUZnAS1YpOtckubwQ3mZ2SEKJTrgm3mZ2iCjP1HsNQtxkPNnGx8M+/2ZuVe8ZtYv4nWN99Q4LV7laozCLN+pkmVXzTmWZRVC5WuvkqxkHAMo04skyixChkeaySxmCnfln6nJOGQCwsniZOQvXJQ/BzuZA4q2qoHvHQfLLaC5vBADwb9kaABCfEIkbimy9OUUr7orzuZeHpjxII23zvDT4O1atePdz9tHJUzMsPi+NHSfkJMHP2QfWXs2qIqurXwhVlHKTxS1KuYmiamNWoUqJh8zLXyeM/5+q9T9eI06VTOblCRmAIj1p9eupQF5q1b3KS616Ph1TFKJ42uSlliHrTtV51p0yuLgJx/z/jHs/g42debkmGZo/kdfK0NgZ1ctRvczTTteU0dTNxQ3sGjX11dbPmNTbMOKJEyfQp08fWFtbw8XFBS4uLrC2tkafPn30uoOoLYsWLcK///4LmUyGzZs3s8n41aFv3lh158L8rdqk0Uynzdy5c1FQUMD+UlOrfxAIgniyoOefIJ4+jN6zxXEcpk6dyiajaxokJSUlOHr0KI4ePYopU6Zg5cqVD1RGamoqli5dCoCfsxUYGHjfNNq9akqlUuRwVbNrX5iX5ejoCIlEwq5BqRT3hGgPB2jO59LEwsICFhYW99WRIIgnD3r+CeLpw+g9W0uXLsW3337LDBTN3h7NHqPvvvuOGUy1JTc3FxUVFQCAGTNmiByZJmsMq2zZsoU5N9Ve9ai9J6PmuRDXwsICAQEBBqXRTEcQBEEQxNOLUY2t27dvY+HChczw4TgOzz77LF599VUMHToUQUFBzO0Dx3FYuHBhjV7b65IePXqIvi737NnDjmNiYnD9+nV23r9/f3bcr18/dnzmzBnR3C9N7/FNmjRBSEhInetNEARBEMTjhVGHETdt2oSKigpIJBL4+vpi165deP7550VxoqKiMGLECCQkJKCiogIbNmzARx99VKtyHBwcRG4XNDl8+DCKi4sBAN7e3ggJCUHbtm3h6OiIt956CytWrAAALFu2DHl5eXBzc8PGjRtZei8vL4wZM4adT506FWvWrIFSqcTdu3fRsWNHDB8+HDExMSKDbfbs2fedN0YQBEEQxJOPUY2tP/74gy/E1BS///67aAhOICQkBAcPHkTr1q2hVqtZmtrg4+MjMnS0ZcJQYqdOnbB582YmW7JkCa5evYqTJ09CrVZj7dq1orQODg7YvXs3bGxsWJiHhwe2b9+OoUOHorS0FNevX8fHH38sSjd69Og68YRPEARBEMTjj1GHERMSEiCRSNCzZ0+9hpZAYGAgevXqBY7jkJiYaEyVRFhaWuLIkSP44Ycf8OKLL8LOzg4WFhbw8/PDO++8g2vXrun1k9WvXz9cuXIF48aNg6enJ8zNzSGXy9GlSxfs3LkTW7duhYlJvfqLJQiCIAiigWLUni3Bz1RwcPB94wYHB+PgwYPV+qZ6UJKSkmqUm5qaYvLkyZg8eXKt8m3WrBk2bdr0EJoRBEEQBPE0YNTul5IS3sGhvb39feMKDkKF+VUEQRAEQRBPAkbt2SovL4dEIkFUVBR+/PHHGuNGRUUBAG3eTBAEQRDEE0W9bNeza9cu7Nq1qz6KIgiCIAiCaFDU296I2lvZaFPd1jYEQRAEQRCPM/WyXU9dxiMIgiAIgnicMKqxdfr0aWNmTxAEQRAE0eAxqrEVHh5uzOwJgiAIgiAaPOR5kyAIgiAIwoiQsUUQBEEQBGFEJBzNTH/kFBYWwt7eHi5NwmFiUm8LRGEtr9pCqUgRpxNWHeb2LQAAZQXXH6hcIb1mHpphAKB0DtSbVtnk/pt7e7vW7KvNz6Xq2N+pqr4D5DJRvDiFSq/M39FWJ09fZwedMCu1SidMk+K0BHZckqa7TZUqPUEnjI+bBEsPH5SkJVXldW//T1a2t7dOmCaFSfnVyrJuV9Vxiur+32NJKLlvHE2SywvhbWaH5PLCWqUD8MDpHoYKjsMFlQIFBQXM+XJdIjz/rqPegIm5ucHpVK7WonNZZlG1cbRl2mnvF0eQ6UtnSP7VpbdzsUBhVinsXCxYWLCzbh1czinTK9cM15Zry4TwIHnVXrf9/Krf3SQ+L00nzN/RA37OPgCAhJwkdqzvHABkasN/XotSblYrU6XE3/ufCpmXp5YsVSe+EEdTVpSiYMfWXnJReF6quK6y7ujq4OKmX56htelLY2f94fpILawAUPVOqAlPu/v/Ngpl14QhegFVupVWluG7rJ8f+vmnni2CIAiCIAgjQsYWQRAEQRCEESFjiyAIgiAIwoiQsUUQBEEQBGFEyNgiCIIgCIIwImRsEQRBEARBGBEytgiCIAiCIIwIGVsEQRAEQRBGpP48aBLVIviVraysqNdyK9VVjuyEsjXDqkNdUWJw3JrSa+ahGQYAleW6DhoBgCu7v1NTtapmp6blGkWVFlc9AiXm4nSlxSq9siJziU6eSgtdvdT3c2paVHWNqmJdx6AqVanedKrScqhVpVCVllflVS7WnSst1wkTla2urFZWoiEqNcDncTmqz0sfFRyHcq4SFQ/gT/lB0z0MQnnG8v/Mnv/y2j1PXKn49V1ZppteiKMt0057vziCTF86Q/KvLn2lCuBKS1Gp8aiUl+i2p0pVuV65Zri2XFsmhJdaVOlw967+9wwAFBcV64TdNS9CoYWSpRWO9Z0DQFktnJoW16CL8H5QqUpRrvWu0PeeKNeIz/Iv1Xjfa4UXabW9Yj0/RUXl+uXar1tBdp/XMACg9N7vTnllOUora27/qhreWfr0qj6f+8cBqnQrq+Qv/GGff/Ig3wBIS0uDp6fn/SMSBPHISE1NhYeHR53nS88/QTR8Hvb5J2OrAVBZWYnbt2/D1tYWEolur8nDUFhYCE9PT6Smphplq5GGCl03XXddwXEclEolmjRpAhOTup95YcznH3g628TTeM0AXXdDfv5pGLEBYGJiYpQvZk3s7OyeqodPgK776cJY121vb1/neQrUx/MPPJ1t4mm8ZoCuu66pi+efJsgTBEEQBEEYETK2CIIgCIIgjAgZW084FhYWWLBgASwsLB61KvUKXTddN8HzNNbN03jNAF13Q75umiBPEARBEARhRKhniyAIgiAIwoiQsUUQBEEQBGFEyPVDA8DYfnYIgnhwHnc/WwRBPDjkZ+sJ4vbt2+RBmiAaOMbyIE/PP0E0fB72+SdjqwFga2sLAHB2C4WJSf3dEmsHf3ZclB+vE1YdZnaBAIDywtgHKldIr5mHZhgA3HV6Rm/au43vvzeiZ6OaN79q2qjq2Nexqr79HWSiePH5Kr0yX7mNTp4+TrpO76zutzfi7VvsWJWepCNXZdzSCePjpkDm7gVVekpVXqmp4rI9PXXCNFGmFFQry86o+npLK73/l1wKar5OnfjlSniZ2SKlXHn/yFo8aLqHoYLjEFWaz57TukbIt9Gr42BiZm5wulIXK9G5RZbuXn5CHG2Zdtr7xRFk+tIZkn916W0bWUCZXQrbRlWryIKczHTyj84t1yvXDNeWa8uE8FYOVc9vr6ZBeq6GJ1GRrhPmK3dHUycvAMCt3BR2rO8cAGS12RsxNa5amSot8d7/dMg83LVkunoKcTRlxan57NjK00EUrkgX70uYnamrQyNX/fLMXHE8Vyf94fpIU/L7D6aWK+FpVvPz5WF7/99GoeyaMEQvoEq3sspyrMv59aGffzK2GgDC0IGJiWm9Glsm0qoXu1CuZlh1SE0tAQBqA+LWlF4zD80wADAxs9abVmJ+f2NLKqvZ2DLTKMrCqqq+La3FxpaFxqbXmjJrG11jS9+DaKXW/dEQ6WlddY2mVpY6clOZ/mXMUgszWMosILWoyl9iJq4XKwsznTBN1NLqjShLk6p0FpL7G1tmtZz6aSqRwExiAtMHGDJ70HR1gbGG+Njzb2YOE3PDnymJ1jJ3E3PdXXiFONoy7bT3iyPI9KUzJP/q0pvILCCx4P8LmFnq1oGJzESvXDNcW64tE8ItrKqeZRsb/e8ZALAq0zUsbWysYXfvWbcprTrWdw7UztiS1qCL2b33g5nMAjKtd4WZnveETCO+gIlFVb1Za4WXab2qivT8DFmb6ZfLtF4zwitVO1wfFveG5cxMzGBhUnPbl0nv/9toZcDPpyF6AVW6CTzs80+uHxoAhYWFsLe3R8ALX0JddAvm9i0AAGUF11kcIaw6tOOWFVy/b5raonQOrFZmm1N9L1dN6fTGb6L/afB2rdmI8nMxLH9/p6onMkAuqyFmNekd9X/h+Do76A3X18NVLJXV2PNVnJZQrazk3leugCpdf9yStKRq89ApLzlZdF6YlH/fNFm3a35rpaj4l5WXrFInrLYkoQQ+sBSdV0dyeeEDlVEdFRyHCyoFCgoKjLIViPD8ey6ZLTI6HirPrNI6yac67Fyq9KxtWZppNQl2frCPt9oSpNEz3VzeSCTzd+SHieLz0nTSCTJD8HP2QUJOEvycfViYtuGlkur+eFdnnBWl3NQbrkqJ1zrne7NlXp7s+H4UpSh0wvJSy/TErCLrDv/fxa3q2FAycmoXX5PGzuI8Gjvzx5r/67pclboMcxN2PPTzT6sRCYIgCIIgjAgZWwRBEARBEEaEjC2CIAiCIAgjQsYWQRAEQRCEESFjiyAIgiAIwoiQ64cGhuYKwtqsJtSOa0haQ1cJVrc6UBzn/uXdbzWhgCOq4hmywlBzdaE291ttWN3KwuqobsUhcH+/Wg8a937I3P0A6K5KtPTwqTaN9kpFK2/v+5ajGac4ORl21WePwqR8uED3fusL06S6FY5esABQqXUuRljp6GOm60YDqHkFoyZ1vZrRUJTZpbD3rJvViAKGrhoU4glxqlsxeL8yquNBVhpqrhqMVtzVG15bqlt9qI1muL6VhdXBVhOqObSUewM1uH6ojVsITbRXIFaFp+o91kbf6kN9OHrWdM/KNOLUvHJRGxc3/eHaqxqFeJrhQphmHvrCalNuTWTdAYorAFS/ONxgqGeLIAiCIAjCiJCxRRAEQRAEYUTI2CIIgiAIgjAiZGwRBEEQBEEYETK2CIIgCIIgjAgZWwRBEARBEEaEXD80IMw6PwOprPqd3/1cgISsuivP0YA4vOsFw1w21AU1uXGIz62oUQ7U7OqhLt086KNYWrObiVq5hvDw083/3ubUlh6+etNYevjqbFJdHTJ3v2o3sObz8qkxfXVywaWEIa4ktLmfO4n74aK1ebadj4NoQ+0Qg193jiIXFCWValxQGbZc/mEIbWaDNk0MeSprJlpxF9DnasEQ9wt64jyMqwVDENwx3FBk67hmqCl+TRi6abQh7hyqi6dvY2lhc+nauHXQ3pBaX1prr2b3zUfm5V+tW4jaYu1luPx+cQ3FsRqXFI6eNekhr5vCq8ETgFJVCvz18HlRzxZBEARBEIQRIWOLIAiCIAjCiJCxRRAEQRAEYUTI2CIIgiAIgjAiZGwRBEEQBEEYETK2CIIgCIIgjAgZWwRBEARBEEZEwnGc4Q5BCKNQWFgIe3t7rPztOCytq/ez9bDEKar8PAXIZaJzbWryV/Woqa2/LIHa+s1qKNTGP5eA4JPLWJSkJer4+zLUx1dN1OT7q74QfIUJFJWWo9vq/SgoKICdnV2dlyc8/0kJ12Bna3jbTshJYseCHyjNMGNiiH+qhJykauMJemrKq4tf0zUZ6ierrrif/yxtn1mPSg+BopSbOj66ilJuGpS2Ot9ehqZ/UARfYYLfMJmXv0imea4PQ3yS1YZCpRJuAa0f+vmnni2CIAiCIAgjQsYWQRAEQRCEESFjiyAIgiAIwog0SGNr9+7dmDx5MkJCQmBhYQGJRML+qkOtVmPNmjUICwuDXC6HpaUlnnnmGUydOhUZGRnVpouLi8PEiRPh4+MDCwsLODs7o3v37vj555/rvCyCIAiCIJ4+GuRG1IsXL8a///5rcHyVSoUBAwbg2LFjovD4+HisXLkS27Ztw9GjRxESEiKSHzp0CIMHD4ZKVTUBOTc3FydOnMCJEydw6NAhbNq0SWTkPWhZBEEQBEE8nTTIni2JRAI/Pz8MGzYM4eHh943/0UcfMeNHKpVi0qRJ+Pjjj+HlxW9HnpeXh6FDh6KoqIilSU9Px8iRI5mh1aJFC3z66acYPnw4i7NlyxZ8//33D10WQRAEQRBPLw3S2Dp//jzi4+Px008/oVOnTjXGVSgU+O6779j57NmzsXbtWnzyySc4duwY65VKSkrC1q1bWbyVK1eioKAAAGBra4uzZ89i/vz52LlzJ0aOHMniLV26FGq1+qHKIgiCIAji6aVBDiNaWloaHPfYsWOiYcDBgwez48DAQLRq1QpXr14FAOzfvx+TJ09mxwKdOnWCo6OjKI8dO3YA4HvALl26hHbt2j1wWYbSxd8dtrXws1NbegBIzMkHwPuc8r93bAiCj6rEnPwa/VUl1iLP2pStqffTRrHUcJ9ngk8uKw8/Y6lTbf5CmODjS18cTZk+X2DavrvqE8FPmMxdrLdZcQmA/XpS1C3F5w5DasW/++7nSwgAfDSO1cobOmF1gbVXM71+lYTyaorf0qsZim7dYOGatJR738uIE4fp8R/F4urDQH9T9UF9+diqTVnSps2h7aVP2rS5YWVoHIt8uhmYXm/aGvzBCTJrjfyttcrSPteblyK5Vvrdj7t362aUqkH2bNWG6Oho0bmvr2+150Lc0tJSxMbGGpRGM92DlEUQBEEQxNNNg+zZqg25ubmic20Pr5o9RTk5OQD44UBNx/k1pdFM9yBl6aO0tBSlpaXsvLCwsNq4BEE8WdDzTxBPH499z5b2bkM1nQtzqmqT5kHT1eSmYunSpbC3t2d/np6e1cYlCOLJgp5/gnj6eOyNLScnJ9G5UqkUnWt+NQrzshwdHUXGUE1pNNM9SFn6mDt3LgoKCthfampqtXEJgniyoOefIJ4+HntjKygoSHSekJBQ7bkQ18LCAgEBAQal0Uz3IGXpw8LCAnZ2dqI/giCeDuj5J4inj8fe2OrRowcsLCzY+Z49e9hxTEwMrl+/zs779+/Pjvv168eOz5w5I5qPpek9vkmTJsxB6YOWRRAEQRDE00uDnCD/ww8/sF6i8+fPi2QzZ85kx/PmzYOjoyPeeustrFixAgCwbNky5OXlwc3NDRs3bmRxvby8MGbMGHY+depUrFmzBkqlEnfv3kXHjh0xfPhwxMTEiIyo2bNnQyqV4v/t3Xt8FNX9//H3sIENhCQkREBIIICCIEWQS6VoUCuIKKjFaERualFRHuDXSxHrD603VGq1fOsFWrloBRFrKxaECBVQH7WAlALhVkBuEZEEDAshAZLz+yPfHbO5kSwZsrvzej4e+3jszJ7ZOZ/Nnslnz8ycIynofQEAAPcKyWRr/vz5WrlyZYWvvfzyy/bzcePGKSEhQc8//7w2btyo5cuXq6ioSDNmzAjYpkmTJlqwYIEaN25sr0tOTta7776r9PR0FRYWavPmzZo8eXLAdsOHD9e4ceMC1gWzLwAA4F5hfxpRKhkEdcmSJXrjjTfUp08fxcXFyev1qn379ho3bpw2bdqk3r17l9tu8ODBWr9+vUaPHq2UlBQ1aNBACQkJuvrqqzVv3jy98847qlevXq3sCwAAuJNlyo5fgHPu6NGjio+P167/rHN0BPmy8j3R9ojj/mXgTPzfmYq+L6W/T37+chW9Fg58Pp/aXXKp8vLyHLmY3d/+N8+ZqthG5WfPiG59gQr27qhwvZ//9cpGnq/q9TNte66VHm3ePxp92RHo64p/5PboCkauLz2qu//1czmq/Nnwj8Je1Qjv4WjH4f328wsSk6v9WunXWzRI0FW9B511+4+Ini0AAIBQRbIFAADgIJItAAAAB5FsAQAAOIhkCwAAwEEkWwAAAA4i2QIAAHAQyRYAAICDSLYAAAAcFJJzI7pV/rffyBMTYy83Sm7v6P7Kjuh9rkb4ZqT68FbV3y/Y16qr7Hc03Eenr0plI7pXtP5Mo79X9fq5HjnePxq8f3T4suvPtO5sVHcE+Oq8T3VGiY8uMmExirx/5PjKlsuOMF96XUXvFSoj0Fc0Mnx1Xiv9+rFjx2ulLvRsAQAAOIhkCwAAwEEkWwAAAA4i2QIAAHAQyRYAAICDSLYAAAAcRLIFAADgIJItAAAAB5FsAQAAOIhkCwAAwEFM14Nz7kxTqwQzBQtTALlDZX9nJ//++Z5Tjr13VQr27qjR+rL80/BUVL70FD3+18/VtD1lp+kpu76i6Xxqa9qeiqbpCVZV0/D4p/MJh6l6qlJ22p3qTMMTKlP1VMeOw/srnLZnx+H99vP84/m1si96tgAAABxEsgUAAOAgki0AAAAHkWwBAAA4iGQLAADAQSRbAAAADiLZAgAAcBDJFgAAgINItgAAABxEsgUAAOAgki0AAAAHMTdiCGnUsq0axcbWdTXqXE3mRKzuNsydiHBSm/MUnum9ztWciMGqrXkRz8Q/b6J/XkO/iuY3LF22qvcKd+2TUiWVzHfof+5fDlel5z2saNkp9GwBAAA4iGQLAADAQSRbAAAADiLZAgAAcBDJFgAAgINItgAAABxEsgUAAOAgki0AAAAHkWwBAAA4iGQLAADAQSRbAAAADiLZAgAAcBATUcMVSk9UzaTUCEXRye0U3TimrqtRp0pPOn2uJqAuq+wk0lVNKn2mCafPNKF1uCg9CXXZ5XCblPqCxOQqX3dqYmp6tgAAABxEsgUAAOAgki0AAAAHkWwBAAA4iGQLAADAQSRbAAAADiLZAgAAcBDJFgAAgINItgAAABwUcslWdna2Xn/9dd16663q0qWLkpKS1KBBAzVv3lyDBg3SX//61wq3Kyoq0vTp03X55ZcrISFBDRs21IUXXqgJEybowIEDle5v+/btuvvuu5Wamiqv16ukpCT1799f77//fqXbBLsvAADgPpYxpur5Bs6xF154QZMmTaqyzL333qs333zTXi4oKNCNN96ozMzMCssnJiZq6dKl6tmzZ8D6xYsXa+jQoSooKKhwu1GjRmnWrFmyrB+nWQh2X1U5evSo4uPjtes/6xQbG1vt7RAcputBTfh8PnXp0ll5eXmKi4ur9fe32//yvyiW6XrqugqOCefpeqoSbtP1nEnZ6Xryj+fr7mvHnHX7D7meLb/k5GTdc889evbZZzVixAhFRf04jeP06dO1bNkye/mJJ56wkx+Px6MxY8Zo8uTJat26tSTp8OHDSk9P1/Hjx+1tsrOzNWzYMDvR6ty5s55++mllZGTYZebMmaPXX389oF7B7AsAALhXyE1E3aZNG82dO1e33nqrPB6PvX7AgAEaMWKEvfzJJ5/ommuu0ZEjR/Taa6/Z6ydOnKjnnntOkjRs2DB16tRJxhjt3r1b77zzju677z5J0rRp05SXlydJio2N1eeff67ExERJUr169TR37lxJ0pQpU3TffffJ4/EEvS+EltKTUvvle6Lt9VX1fJXdll4yIFAk906hvLKTVFcknHq/yk5UfaxB7XSchFzP1u23367bb789INGSpJtuuilg+eTJk5KkzMzMgNOAQ4cOtZ937NhRXbp0sZcXLlxY4fMrr7zSTrTKvkd2dra+/vrrs9oXAABwr5BLtiqzbdu2gOVevXpJkjZs2BCwvl27dpUu+8sWFhYGvF9V25TeLph9VaSwsFBHjx4NeABwB9o/4D7VOo349NNP18rOJk+eHNR2x48f1/33328vd+jQQbfeeqskKTc3N6Bs2QvYSl9wnpOTI0k6cuSISt8XUNU2pbcLZl8VmTJlin7zm99U+jqAyEX7B9ynWsnWU089FXBHXrCCSbYOHTqkIUOGaPXq1ZKk5s2b6+OPP1Z0dMm1MmVvpqxq2R9DTbYJdruqPq9JkybpoYcespePHj2qlJSUSssDiBy0f8B9anSB/NmMEhFMsvbf//5X1113nXbu3ClJSklJUWZmpjp06GCXadq0acA2Pp9PTZo0sZdLd9H7r8tKTEyUZVl2PD6fL+A9ynbr+7cLZl8V8Xq98nq9lb4OIHLR/gH3qVGy1a5duxr/Atu3b5927dpVo20k6csvv9SNN95on7rr1q2b/v73v6tVq1YB5bp27RqwvHPnTvXo0SNguWxZr9erDh062NdtlS5T0bJ/u2D2BQAA3K1Gydb9998f0P1dHS+//LIeffTRGm2zYMECjRw50r7zb9CgQZo/f74aN25cruyAAQPk9XpVWFgoSfrggw/sBCgrK0ubN2+2yw4ZMsR+PnjwYDvZWrFihXJzc+2eq9Kjx7ds2dIeoDTYfQEAAPcKuXG2FixYoNtuu80+xdesWTOlpaUFjBgvlZxSvO2225SYmKixY8fq1VdflSRNnTpVhw8fVosWLTRz5ky7fOvWrQPG6ZowYYKmT58un8+nY8eOKS0tTRkZGcrKytIHH3xgl5s4caI9DEWw+wIAAO5VrWTrlVdekSSlpaXVeAdXX321vX11ZGVlBVwb9v333+uxxx4rV65fv3667bbbJEnPP/+8Nm7cqOXLl6uoqEgzZswIKNukSRMtWLAgoGcsOTlZ7777rtLT01VYWKjNmzeXu4B/+PDhGjduXMC6YPYFAADcq1rJ1oQJE4LeQffu3dW9e/egt6+Ohg0basmSJfrTn/6kt99+W1lZWSosLFRycrKuu+46PfbYY+Wu9ZJKTiWuX79eL774opYvX66DBw8qJiZG3bt315gxYwKm7jnbfQEAAHcKuYmo3YiJqOse0/WgMkxEXTNM11OxSJ2IujrCabqeso4dO66reg866/Yf9DVbubm5euutt7RmzRodOXJExcXF5cpYlqXly5cHXTkAAIBwF1SylZWVpauuuqrciOqlGWNqZSBUAACAcBZUsvXII48oJycnYGBQIJyVPj1Y9lRhZfynEKtz+hEIJ5wKRG1qn5R61u8RzqcipSCTrS+//NJOtHr16qUOHTooKirkRpEAAACoc0FlSP7EavTo0QHjSwEAACBQvWA2+vnPfy5JSkhIqNXKAAAARJqgkq3f/va3SkhI0IwZM7RgwYIK70QEAABAkKcR27Rpo9mzZ2vIkCHKyMhQ/fr11axZs3LXbVmWVW5SZwAAADcJKtlas2aNbrvtNvsi+ZMnT2r//v326/71DP0AAADcLqjTiBMnTtSJEycqfZ3hIAAAAEoE1bO1evVqWZYlj8ejW265RampqfJ6vbVdNwAAgLAXVLIVFxenEydOaPz48frtb39b23UCAACIGEGdRrzllltkjNGxY8dquz4AAAARJahk69lnn1WPHj301ltv6YUXXtDevXtVVFRU23UDAAAIe0ElWwkJCVq3bp2Kior061//Wm3btlWDBg3k8XgCHkzhAwAA3C6obMg/rIN/aAfuPoQbVXfCaqCmmAgaCFTTyaxDbeLqoLueSLAAAADOLKhka9asWbVdDwAAgIgUVLI1atSo2q4HAABARArqAnkAAABUT7V6tu666y5JUkZGhgYMGFCjHSxdulTz58+XZVl66623al5DAACAMFatZGv27NmyLEtdunSpcbK1adMme3uSLQAA4DacRgQAAHBQjS6Qf/TRR/Xoo486VRcAAICIU6NkK5ixtfwDnwIAALhRtU8jBjuIKYOfAgAAN6tWz9Znn33mdD0AAAAiUrWSrX79+jldDwAAgIjE3YgAAAAOItkCAABwUFBzIwIAalejlA6KiY2t62qglhR4uBO/LrVPSq1WuZ05ux2thx89WwAAAA4i2QIAAHAQyRYAAICDSLYAAAAcRLIFAADgoKDvRtyyZYumTZumtWvX6siRIyouLi5XxrIs7dy586wqCAAAEM6CSrZWrlypgQMH6uTJk5LKz39oWZaMMUxCDQAAXC+o04iTJk1SYWGhpIonmmbyaQAAgBJB9WytX7/e7r266aab1LFjR3m9XnqyAAAAyggq2WrUqJEKCws1cuRIzZ49u5arBAAAEDmCOo3Yv39/SVLz5s1rtTIAAACRJqhk6/nnn1eTJk00e/ZsZWVl1XadAAAAIka1TiPedddd5da1b99ea9euVbdu3dSnTx+1adNG9evXDyhjWZbeeuut2qkpAABAGKpWsjV79uwKL363LEtFRUX68ssv9eWXXwa85h/6gWQLbtGoqED5nui6rgaAOlbg4WaxcNE+KbXS13bm7K61/dToAvnKhnRgqAcAAICKVSvZSktLY1gHAACAIFQr2VqxYoXD1QAAAIhMQY2ztXfvXklSYmKiGjduXKsVAgAAiCRBDf2Qmpqqtm3basaMGRW+PmfOHHXt2lWXXHLJWVUOAAAg3AXVs3UmOTk52rRpE9d5AQAA1wuqZ+tMcnJynHhbAACAsFPtnq2KBjadP3++Nm3aFLAuPz9fixYtkqRyg5wCAAC4TbWTrbIDmxpjtHbtWq1du7ZcWf+AphdccEHt1BIAACBM1fiardIDmFY1mKkxRg888EBwtQIAAIgQ1b5mKy0tTWlpaerXr5+kkql62rVrp379+gU8rrnmGo0aNUofffSRxo4dW+MKFRQU6PHHH9eAAQOUmpqq2NhY1a9fX0lJSerbt6+mTJmio0ePltuuqKhI06dP1+WXX66EhAQ1bNhQF154oSZMmKADBw5Uur/t27fr7rvvVmpqqrxer5KSktS/f3+9//77lW4T7L4AAID7WCaIuXbq1asny7I0depUPfTQQ7VaoZycHJ133nlVlunQoYO++uorJSQkSCpJ0G688UZlZmZWWD4xMVFLly5Vz549A9YvXrxYQ4cOVUFBQYXbjRo1SrNmzQo4fRrsvqpy9OhRxcfHa9d/1ik2Nrba2yH0MDdi5PH5fOrSpbPy8vIUFxdX6+/vb//fbd+oONp/RGBuxMiwM2e3jh07rqt6Dzrr9h/U0A9PPvmkJOlnP/tZ0DuuSqtWrfSzn/1Mbdq0UWJionJycvSXv/xFe/bskVTSGzVjxgxNnDhRkvTEE0/YyY/H49Fdd92l888/X7Nnz9bevXt1+PBhpaena9OmTYqJiZEkZWdna9iwYXai1blzZ2VkZGjz5s167733JJWMF9arV6+A06HB7AsAALjXWSVbkvTNN9/o66+/1pEjR9SkSRP17NlTbdu2DbpCSUlJ2r9/f7n1Dz/8sFq1amUv7969W5J05MgRvfbaa/b6iRMn6rnnnpMkDRs2TJ06dZIxRrt379Y777yj++67T5I0bdo05eXlSZJiY2P1+eefKzExUVJJz93cuXMlSVOmTNF9990nj8cT9L4AAIB7BT3O1q5duzRgwABdcMEFuu2223TfffcpIyNDF1xwgfr3768dO3bUSgWLioqUnZ2t6dOnB6y/+OKLJUmZmZkBpwGHDh1qP+/YsaO6dOliLy9cuLDC51deeaWdaJV9j+zsbH399ddntS+4R6OiAjUqqvi0NIDIxynEyNE+KVVtm7aulfcKqmfrm2++UZ8+fZSTk2PfkWhZlv18+fLl6tu3r/75z3+qXbt2QVVsxYoVuuqqqyp8LS0tTb/85S8lSRs2bAh4rez+2rVrp40bNwaULSws1LZt26rcprQNGzaod+/eQe2rIoWFhSosLLSXK7rgH0Bkov0D7hNUz9Zjjz2mQ4cOBawre519Tk6OJk2aFHzNKjFs2DAtWrRI0dElFyLn5uYGvF72ArbSF5z7R7Y/cuRIQH2r2qb0dsHsqyJTpkxRfHy8/UhJSam0LIDIQvsH3CeoZOvTTz+179AbM2aMVq5cqa1bt2rlypV2j5MxRp9++mnQFWvfvr2mTp2qZ599VmPGjFHTpk0lSXPnzlWvXr3si+XLJnlVLfvrXJNtgt2uqnkhJ02apLy8PPuxb9++SssCiCy0f8B9gjqNePLkSUnSL37xi4BrqTp06KArrrhChw8f1ocffqhTp04FXbGUlBQ98sgj9vKzzz6rbt266cCBA9q6dasefPBB/fWvf7WTMD+fz6cmTZrYy6W76P3XZSUmJgac9vT5fAHvUbZb379dMPuqiNfrldfrrfR1AJGL9g+4T1A9W926dZP040XqZfkvFO/Ro0dwtapAs2bNdNlll9nLK1askCR17do1oNzOnTsrXfaX9Xq96tChQ7W2Kb1dMPsCAADuFlSy9etf/1rGGH3yySc6ffp0wGtFRUVatGiR6tWrp8mTJ9f4vT/99NNy14NJJddA/etf/7KX/afpBgwYEPAr8YMPPrCfZ2VlafPmzfbykCFD7OeDBw+2n69YsSLgeqzSo8e3bNnSHqA02H0BAAD3Cuo04qFDh3TVVVdpxYoVuvTSS3XbbbepWbNm+v777zV//nxlZWXpuuuu0/79+/X2228HbDty5Mgq3/u1117TJ598ogEDBuiSSy5Ro0aNlJ2drb/85S86ePCgXe6GG26QVHK6buzYsXr11VclSVOnTtXhw4fVokULzZw50y7funVrjRgxwl6eMGGCpk+fLp/Pp2PHjiktLU0ZGRnKysoKSKImTpwoj8dzVvsCAADudVbT9ZQe9sGvonWlFRUVVfneN910kz766KMqy3Tr1k2ZmZn2tD4nTpzQ4MGDtXz58grLN2nSREuXLlXv3r0D1n/88cdKT08PuA27tOHDh2vOnDmqV+/HDsBg91UVpuuJPEzbEzmYrgc1wThbkeWoz6fU9l3Ouv0HPaipVJJQlU2qKlonlb9zrzIPPPCA7r33XnXr1k3NmjVTVFSUoqOj1aZNGw0ePFgzZ87U6tWrA+ZPbNiwoZYsWaI33nhDffr0UVxcnLxer9q3b69x48Zp06ZNFSY/gwcP1vr16zV69GilpKSoQYMGSkhI0NVXX6158+bpnXfeCUi0zmZfAADAnYLu2QpqZ5Z1xp4tN6JnK/LQsxU56NlCTdCzFVlqq2crqGu2iouLg94hAACAm5zVaUQAAABULaierdK+/fZbffXVVzp06JD69OnD+FIAAAClBJ1s+Xw+jR07Vu+995598fvUqVO1detWPfbYY7IsSytXrlRycnKtVRYAACDcBHUasbCwUNdcc43mzZun4uLigDsNr7vuOh04cEC7d+/W3/72t9qqJxDy8j3R9gOAO0UX1fieM7hAUMnW66+/rjVr1lT4WmxsrK644gp7hHkAAAA3CyrZmjdvniQpISFBS5YsKfe6f+7EsnMHAgAAuE1QydbWrVtlWZZGjRqlAQMGlHs9MTFRUsnF8wAAAG4WVLJ16tQpSSVT01QkJydH0pmn5gEAAIh0QSVbLVu2lKQK5wc8ceKEPvzwQ0niTkQAAOB6QSVb/fr1kzFGn3/+uQYNGmSvX7x4sXr16qXdu3fLsiz169ev1ioKAAAQjoJKtsaPHy+PxyNJWrp0qT3x9GeffaYtW7ZIkjwej8aNG1dL1QQAAAhPQSVb3bp10yuvvCJJKjuPtTFGlmXplVdeYTR5AADgekHPjThu3DitWrVKN998s8477zx5PB4lJSXpxhtv1MqVK/XAAw/UZj0BAADC0lnNjdi3b1/17du3tuoCAAAQcYLu2fLLzc1Vbm5ubdQFAAAg4gSVbC1btkyDBg1STEyMmjVrpmbNmikmJkaDBg2qcDgIAAAAt6pRsmWM0fjx43Xttddq6dKlOnHihIwxMsboxIkTWrp0qQYMGKDx48c7VV8AAICwUqNka8qUKfrDH/5g34HoH/Kh9HNjjF577TVNmTKlFqsJAAAQnqqdbH377bd66qmnZFmWLMuSMUaXXHKJbr31VqWnp6tr1672sA/GGD311FM6cOCAk3UHQka+J7quqwAgREQXmTMXgqtUO9maNWuWTp8+LUlq166d1q5dq3Xr1um9997T/Pnz9e9//1urV69Wu3btJEmnT5/WW2+95UytAQAAwkS1k61Vq1ZJkqKiorRo0SJdeuml5cr07NlTf//73xUVFRWwDQAAgFtVO9nauXOnLMvStddeqw4dOlRarmPHjho4cKCMMdq1a1etVBIAACBcVTvZysnJkSR17979jGX9ZfzbAAAAuFW1k60TJ05IkuLj489YNi4uTpKUn58fZLUAAAAiQ7Wn6zl16pQsy9LatWv19ttvV1l27dq1kqSioqKzqx0AAECYq/HciPPnz9f8+fOdqAsAAEDECWoiav+gppUpPdgpAACAm9Uo2TpTklXTcgAAAJGu2snWZ5995mQ9AAAAIlK1k61+/fo5WQ8AAICIVKOJqAEAAFAzJFsAAAAOItkCAABwUFBDP8AZ+d9+I09MzBnLNUpufw5qAwAIVnSRUYGHYZDC3Te5e2vlfejZAgAAcBDJFgAAgINItgAAABxEsgUAAOAgki0AAAAHkWwBAAA4iGQLAADAQSRbAAAADiLZAgAAcBDJFgAAgINItgAAABxEsgUAAOAgki0AAAAHkWwBAAA4KKquKwBEgkZFBcr3RNd1NQCEkOgiYz8v8Fh1WBPUxM6c3bX+nvRsAQAAOIhkCwAAwEEkWwAAAA4i2QIAAHAQyRYAAICDQj7ZOn36tHr06CHLsuzH6NGjy5UrKirS9OnTdfnllyshIUENGzbUhRdeqAkTJujAgQOVvv/27dt19913KzU1VV6vV0lJSerfv7/ef//9SrcJdl8AAMB9Qn7ohylTpmjdunVVlikoKNCNN96ozMzMgPU7duzQtGnT9Oc//1lLly5Vz549A15fvHixhg4dqoKCAntdbm6uli1bpmXLlmnx4sWaNWuWLOvHW3aD3RcAAHCnkO7Z2rBhg5555pkzlnviiSfs5Mfj8WjMmDGaPHmyWrduLUk6fPiw0tPTdfz4cXub7OxsDRs2zE60OnfurKeffloZGRl2mTlz5uj1118/630BAAD3Ctlk69SpUxo1apROnTqlnj17qlWrVhWWO3LkiF577TV7eeLEiZoxY4Z+85vfKDMz0+6V2r17t9555x273LRp05SXlydJio2N1eeff67/9//+n+bNm6dhw4bZ5aZMmaKioqKz2hcAAHCvkE22nnvuOa1fv15er1dz5sxRVFTFZzwzMzMDTgMOHTrUft6xY0d16dLFXl64cGGFz6+88kolJiZW+B7Z2dn6+uuvz2pfAADAvUIy2Vq/fr2ef/55SdLTTz+tzp07V1p2w4YNAcvt2rWrdNlftrCwUNu2bavWNqW3C2ZfFSksLNTRo0cDHgDcgfYPuE/IJVunTp3S6NGjderUKV122WV6+OGHqyyfm5sbsBwXFxewHBsbaz/PycmRVHI60BhTrW1KbxfMvioyZcoUxcfH24+UlJRKywKILLR/wH1CLtl65pln9J///EfR0dGaPXu2PB5PleVLJ01nWvZfU1WTbYLdrvQdjGVNmjRJeXl59mPfvn2VlgUQWWj/gPuE1NAP+/bt05QpUySVXLPVsWPHM27TtGnTgGWfz6cmTZrYy6W76P3XZSUmJsqyLDs58vl8Ae9Rtlvfv10w+6qI1+uV1+ut9HUAkYv2D7hPSPVs5ebm6vTp05Kkhx9+OGAg0z179tjl5syZYw9u2rVr14D32LlzZ6XL/rJer1cdOnSo1jaltwtmXzXRqGVbNUpuf8YHAABwRvukVPvRtmnrWnnPkEq2gjFgwICAX4kffPCB/TwrK0ubN2+2l4cMGWI/Hzx4sP18xYoVAddjlR49vmXLlvYApcHuCwAAuFdInUZs0qRJwHAKpX3yySfKz8+XJLVp00Y9e/ZUr169lJiYqLFjx+rVV1+VJE2dOlWHDx9WixYtNHPmTHv71q1ba8SIEfbyhAkTNH36dPl8Ph07dkxpaWnKyMhQVlZWQBI1ceJE+7qxYPcFAADcyzJlr/IOUampqfapxFGjRmn27Nn2aydOnNDgwYO1fPnyCrdt0qSJli5dqt69ewes//jjj5Wenq7CwsIKtxs+fLjmzJmjevV+7AAMdl9VOXr0qOLj47XrP+vK3QmJ8JHvia7rKsABPp9PXbp0Vl5eXrk7kGuDv/1/t32j4mj/EavAU/lNUwhdR30+pbbvctbtP+xPI0pSw4YNtWTJEr3xxhvq06eP4uLi5PV61b59e40bN06bNm2qMPkZPHiw1q9fr9GjRyslJUUNGjRQQkKCrr76as2bN0/vvPNOQKJ1NvsCAADuFDY9W5GMnq3IQM9WZKJnC7WBnq3wRM8WAABAGCDZAgAAcBDJFgAAgINItgAAABxEsgUAAOAgki0AAAAHkWwBAAA4iGQLAADAQSRbAAAADiLZAgAAcBDJFgAAgINItgAAABxEsgUAAOAgki0AAAAHkWwBAAA4iGQLAADAQSRbAAAADiLZAgAAcBDJFgAAgINItgAAABxEsgUAAOAgki0AAAAHkWwBAAA4iGQLAADAQSRbAAAADiLZAgAAcBDJFgAAgINItgAAABxEsgUAAOAgki0AAAAHkWwBAAA4iGQLAADAQSRbAAAADiLZAgAAcBDJFgAAgINItgAAABxEsgUAAOAgki0AAAAHkWwBAAA4iGQLAADAQSRbAAAADiLZAgAAcBDJFgAAgINItgAAABxEsgUAAOAgki0AAAAHkWwBAAA4iGQLAADAQSRbAAAADiLZAgAAcBDJFgAAgINItgAAABxEsgUAAOAgki0AAAAHkWwBAAA4KCSTLcuyzvjYv39/wDZFRUWaPn26Lr/8ciUkJKhhw4a68MILNWHCBB04cKDSfW3fvl133323UlNT5fV6lZSUpP79++v999+vdJtg9wUAANzHMsaYuq5EWZZlnbHMvn37lJycLEkqKCjQjTfeqMzMzArLJiYmaunSperZs2fA+sWLF2vo0KEqKCiocLtRo0Zp1qxZAfUJdl9VOXr0qOLj47XrP+sUGxtb7e0QWvI90XVdBTjA5/OpS5fOysvLU1xcXK2/v7/9f7d9o+Jo/xGrwHPm/2sIPUd9PqW273LW7T+qFutU6xISEvT4449X+FqTJk3s50888YSd/Hg8Ht111106//zzNXv2bO3du1eHDx9Wenq6Nm3apJiYGElSdna2hg0bZidanTt3VkZGhjZv3qz33ntPkjRnzhz16tVLDzzwwFntCwAAuFdI92y1adNGu3fvrrLskSNH1LJlSztpevzxx/Xcc89JkrZt26ZOnTrJH+Ibb7yh++67T5I0ceJEvfTSS5Kk2NhY7d69W4mJiZKkO+64Q3PnzpUktWrVSnv27JHH4wl6X2dCz1ZkoGcrMtGzhdpAz1Z4qq2erZC8Zsvvu+++U0pKiurXr6+EhARdccUVeuONN3T69Gm7TGZmZsBpwKFDh9rPO3bsqC5dutjLCxcurPD5lVdeaSdaZd8jOztbX3/99VntCwAAuFdIn0YsLCy0L4T/4Ycf9MUXX+iLL77Qe++9pyVLlqhhw4basGFDwDbt2rUrt7xx40ZJsssWFhZq27ZtVW5T2oYNG9S7d++g9lVZXIWFhfZyXl6eJMl37Fil2yD05XtO1XUV4IBj/9cua+skAO3fnejZCk8+X+20/5BNtrp27arLLrtMycnJ+u677zR37lz98MMPkqRVq1bpySef1EsvvaTc3NyA7cp285U+LZeTkyOp5NRj6Q+uqm1KbxfMvioyZcoU/eY3vym3/pK+aZVuA6Bu+Xw+xcfHn/X7VNb+L7y0z1m/NwBnnG37D8lka8uWLbrooosC1v36179Wt27ddOjQIUnS7Nmz9eKLL5bLNqta9l8LVpNtgt2uqjsqJ02apIceesheLi4u1uHDh9W0adNq3YlZE0ePHlVKSor27dvnyPUmoYq4ibu2GGPk8/nUsmXLWnm/c9n+JXd+J9wYs0Tcodz+QzLZKptoSVLLli01dOhQvfnmm5KkQ4cOKScnR02bNg0o5/P5Au5UPHr0qP3cf11WYmKiLMuykyOfzxfwHqW3Kb1dMPuqiNfrldfrDVhX+n2cEBcX56rG50fc7uJU3LXRo+VXF+1fcud3wo0xS8Rd22qj/Yf0BfJlle1Jqlevnrp27RqwbufOnZUu+8t6vV516NChWtuU3i6YfQEAAHcLuWTrj3/8oxYtWlQusfr222/14Ycf2svnn3++EhMTNWDAgIBfiR988IH9PCsrS5s3b7aXhwwZYj8fPHiw/XzFihUB12OVHj2+ZcuW9gClwe4LAAC4V8idRszKytI999yjdu3aacCAAUpJSVF2drbmzZunI0eO2OXGjh0ry7KUmJiosWPH6tVXX5UkTZ06VYcPH1aLFi00c+ZMu3zr1q01YsQIe3nChAmaPn26fD6fjh07prS0NGVkZCgrKysgiZo4caI8Ho8kBb2vuuT1evXkk0+WO20R6YibuFHCjZ+NG2OWiDuU4w65QU0ffPBB/f73v6+yzK233qp3331XUVElueKJEyc0ePBgLV++vMLyTZo00dKlS9W7d++A9R9//LHS09MDbsMubfjw4ZozZ47q1fuxAzDYfQEAAHcKuWTr4MGDWrhwoRYtWqQtW7bo4MGDys/PV1JSknr27Kk777xTN998c7ntTp8+rT/96U96++23lZWVpcLCQiUnJ+u6667TY489platWlW4v61bt+rFF1/U8uXLdfDgQcXExKh79+4aM2aMMjIyKtwm2H0BAAD3CblkCwAAIJKE3AXyAAAAkYRkCwAAwEEkWwAAAA4i2QIAAHAQyRYAAICDSLYAlJuxIdIVFRXVdRWAkEH7dx7JFirFP6TIlp+fr02bNsnn8+nkyZN1XZ1zZsaMGZo4caKys7Pruiohj2NA5KL9n9v2H3LT9aBufPbZZ8rKytJ3332nZs2a6f7771dUVJSMMbIsq66r55hPP/1UW7Zs0b59++T1ejV06FC1atVKzZo1i+jYX3rpJf3jH/9QZmamLr74Yo0cOVK//OUvlZCQUNdVc9S4ceM0c+ZMFRQU6N///rcWLlyomJiYuq5WSHDjMYD2T/s/Z+3fwPXGjRtnkpOTjWVZ9uOKK64wubm5xhhjTp8+Xcc1dMZ9991nWrRoERB3SkqKufnmm82aNWuMMcYUFxfXcS1r36hRowJitizLtG7d2qxevbquq+aoYcOGGcuyTHR0tBk4cKCZNWtWXVcpZLjxGED7p/2fSyRbLnf77bcby7JMvXr1jGVZpkGDBqZ+/frGsiwzaNCguq6eY0aMGGEsyzIej6fcgceyLJOUlGRWrFhhjImsA67/7x0VFWX/nf2PadOm2eUiKWZjjHn00UeNZVnG6/WakSNHmh07dpiTJ0+avXv3mg8//NBs3brV7N+/3xgTebGfiRuPAbR/2v+5bv8kWy42YcIE++AaHx9vOnXqZBo3bmw3xqZNm9q/8CLJc889Zze8O+64w7z22mvmmWeeMUlJSSYqKso++ERHR5tVq1YZYyLj4OP/e0dHR5uRI0eaefPmmccff9z+pzNr1ixz8uRJc/r0absnIxLiXr16tencubOxLMtcddVVZu/evWb//v3m+uuvN23atDGWZZkWLVqY7t27m88++8wYExlxV4cbjwG0f9p/XbR/ki2Xeu2110yjRo1MgwYNzD333GP/ipsxY4b9xbQsy3z88cd1XNPadezYMXPttdcay7JMp06dzH/+8x/7tYULF5q0tDTToEEDO/7U1FSzYcOGOqxx7Vi1apV9YOnRo4dZt26dvf68884zXq/XjBo1yvTs2dN07drVPPjgg2bLli11XOva8dZbb9l/zwULFpiDBw/an0XpHh3/Y/ny5caYyPhHUxU3HgNo/7T/umr/JFsutHPnTjNo0CDj8XhMr169zFdffRXw+siRI+0v3vz5840xkfOPZ8uWLaZRo0bGsizTvXt3+5oUv3/84x+mf//+9gHX6/WaBx980Jw4ccIUFRXVUa3P3rRp0+y/6fXXX28OHz5sjDFm+PDh9vrSpxUaN25sBg0aZHbu3FnHNT97jzzyiLEsy8TExJjFixebW265xViWZZo2bWratm1rEhISAno0WrZsabZu3VrX1XaUW48BtH/af121f4Z+cCGfz6dPPvlExcXFGjlypH76059Kkn3779VXXy2Px6N69X78eliWpaNHj+rbb78N69vB4+PjFR8fL0n69ttvtX79eknSqVOnJElXXXWVfvWrX+knP/mJLMvSyZMntXTpUp0+fTrg8wgXxcXFkqScnBxJksfj0Zo1azR8+HBdeeWVevfdd1WvXj2lpqYqLS3N/rsfP35cX375pT799NOA9wlHBQUFkkqGMVi2bJnWrVunmJgY/c///I/+9a9/aeHChbr99tsVHR0tSTp8+LDWrFkjKXLHH3LrMYD2T/uvs/Zf6+kbwsLs2bPNhRdeaPbs2WOMKfnV6v/l+uqrr9rdq8uWLTPGGJObm2tefPFFc+ONN5olS5aE5d1Jp06dMtnZ2aZDhw72r5guXbqY77//3hhjTGFhoV123rx5AV3LK1eurKtq14qPPvooIB7/LzmPx2MyMjLsa1Pmz59vEhIS7HLp6el1XPPg+b/PCxcuNLGxsfYvdsuyTJs2bczBgwftsmvWrDF9+/a1P5eHH364rqp9zrjtGED7p/3XZfsPv1QdQdm4caN27dplL48aNUpz585Vs2bNJJX8arX+b0yZY8eOSSrJ6hMTE+Xz+fTuu+9qzpw5WrhwoZ5//vmwGQRv5MiRmjFjhiQpKipKLVu21D333GO/npWVpWuvvVY+n08NGjSwf+FmZGRo6NChdjn/r6NwUTpuSRoyZIheeeUVe/n8889X/fr1VVxcrD59+uiKK66QJN16660aMWKEXS6cx6Dyf5/btGljx3H69GlJ0sGDB7V7925JJd/znj17avDgwXaPjf9XbiRx4zGA9l+C9h8C7b/W0zeEnMmTJ5sePXqYG264wXz55ZflXvdfi+D/peo/x92qVSuzevVq84c//MF07NjRWJZlmjVrZjZt2nRO6x+soUOH2ufm/XeZGGPMtm3bzKBBgwJu/e7WrZv9C98YYw4ePGj69OljLMsy7du3NwcOHKiDCIJTWdzGGLNx40azevVqs2PHDtOqVSvTqFEjM3fuXPv177//3lx33XXGsiwTHx9vZs6caYwJj+t1Vq1aZaZNm2aeeeaZchd1v/nmmwF3mVmWZYYMGWLWrl1rjDHm0KFD5u677zZRUVEmMTHR3j4c4q4ONx4DaP+0f79QaP8kWxFu9OjR9pesc+fOZtGiRZWW9R9o/WOxxMTEmEcffdRcfPHFxrJKxp4JlztU/Aec+vXrm4YNG5qpU6cGvD5v3jxz6aWXBhxwO3bsaP74xz+aJUuWmOeff960bdvWbpR5eXl1FEnNVBb3yZMnA8r985//tL8XF110kfnss8/Mv/71L/PCCy+Ydu3aGcuyTO/evc23335bF2HU2IQJEwLuMLIsy/5HYUxJMuG/zd3/aNSokbn44ovN7373OzNy5EhzwQUXGMuyTK9evcx3331Xh9HULjceA2j/tP9Qa/8kWxHMf5D1er0mIyMj4LqDstdblM7gb775ZvsL2apVq7A6yBpjzK233hpwELUsy3To0KHcnUd/+tOfTK9evQIaYGxsrPF4PPY5/latWpn//ve/dRRJzVQ3bmNKxp4pHXdSUpKJiYkx8fHxxrJKxp3Ztm1bHURRc/7EwP/wer3GsizTs2dPk5uba/fafP/992bSpEl2udKfk//27+bNm4dN3NXhxmMA7Z/2H4rtn2QrQv3+9783Ho/H1K9f3wwbNsxkZ2ebnJwcM2PGDDN8+HAzcuRI8/LLLwd8sfy/fq644grj8XjsL23Tpk3D4iBrjDHp6en2rxb/qQLLskyTJk3MwoULjTGBv/I++ugjexqHin71hMsQANWJu+yt6w888EC5A5RllYwtFC5x+4coiI6ONl27djU9e/a0/2FcccUV5U4DnDp1ysyYMcM0b948IOakpCRz2WWXhc0/mOpw4zGA9k/7D9X2T7IVofzZ/nnnnWc2btxo9uzZYzp37hzwBbMsy1xzzTVm3rx59nb5+fmmffv29uuJiYlm8+bNdRhJ9fl/2TVs2NCMHTvWfP7552bIkCF2LPfcc49dtvSB5/jx42bu3LlmxIgR5vLLLzfp6enmd7/7ndm3b19dhFFjNYm7tPXr1wcccNu2bWsyMjLCZmydF1980VhWyZ1Vo0ePNuvWrTN79uwxXbt2NZZlmb59+5pVq1aZt99+22RmZgZsu2HDBrNw4ULz5JNPmmeffdYsX7484O6kSOC2YwDtn/Yfyu2fZCsCbdu2zcTExBjLssydd95p8vLy7ItbSz/8XadpaWnmiy++sLd/55137MYbDgdZY4w9UF3Dhg3N/fffbzZu3GiMMeapp56yY01OTjbr16+3twmHiz7PJJi4y/rqq6/MkiVLzDfffGN8Pt+5qvpZyc/Pt0cCj4mJMUuWLLFf69u3r30qpFmzZvb3/eGHH46oa7Gq4rZjAO2f9u8Xqu2fZCsCbdmyxR5P5OabbzZvvPGGsSzLtGvXztxxxx3mmWeeMd27dw842D700EMB7zFv3rywuOPIGGOeffZZY1kl87s98MADAdNr7Nmzx/4nU69ePfPee+9V+j5FRUX2ATgcDsS1FXc42rhxY0DSMHXqVLNnz56Akc/9n03p5cmTJ9d11c8JNx0DaP+0/3Bo/yRbEWjXrl0mOTnZREVFmbi4ONOpUydjWZYZO3asOXbsmDHGmB9++MG+tdl/TcbBgwfL3bUSDjZt2mRuuOEGM378+IADTnFxccBcaJZlmZ/+9KcmJyenDmtbe9watzHG5OXl2XfI+R/Jycn2aYVbbrnFTJ061fz2t78NGMQyOjra7Nixo66r7zg3HQPc2g7cGrcx4dn+SbYilL+h1atXz/7l+tJLLxljfhwpefv27SYlJcV4PB4TFxcXlqdYSt9p8s0339jrS4+GvWTJEvsXTps2bcz27dvtMuHKrXEb8+M/k0cffdQ0b9683K/Yjh07ms8//9wYY0xBQYH585//bBISEuy53/ynWiKdG44Bbm0Hbo3bmPBt/4wgH2H8IyDfe++9Sk5ODpjbae3atcrLy1ODBg0kSYWFhTpx4oSKi4vVsWNHeyTpcOKfr+y8885Tamqqvd4qNRr2BRdcoHbt2kmS9u7dq//93/+1y4Qrt8YtldQ/JiZGEyZM0KRJkzRw4EClp6fbI363b99el19+uSTJ6/WqdevWys/P1+nTp9WxY0elpKTUZfUd56ZjgFvbgVvjlsK3/UfVyV5RK7Zv364dO3bo9OnT8nq9uvbaaxUVVfInveyyy3TNNddowYIFOn78uCRpwYIFSkxM1EMPPaT69etr6dKldsPr3bu3Tp8+raioqJBvjBXF7VdcXFxuwtj27dvr5ptv1gsvvCDLsrRp0yYdO3ZMjRs3PtdVPyvEXRL3gAEDZIxRq1atNH78eE2YMEGSlJ6eLklas2aNFi1apOuvv165ublauXKlvF6vTp48qT59+sjr9dZlOLXKjccA2oG74w7b9l8n/Wk4a4888oj5yU9+EnDOeuDAgWbWrFnm8OHDxpiSO5IGDx5s35Xkf3Tt2tW0bt3anH/++fYtv7t27arjiKqnqrh/+OEHY0zgbd3+LvPPP/88oMv5b3/7W53UP1jEXT7uI0eOGGN+HJyzf//+xrJKRs/u2LGj+dWvfmV+8Ytf2MMYtG/fPmy+59XhxmMA7YC4w7X9k2yFoTvuuCPgy1f6jqKUlBRzzz332NdebN++3dx5552mdevWAeX8j3AawO5Mcd97773m0KFDxpjyA/gVFBSY3r1729vde++9YXMhMHGfOe7CwkIzbtw4+7qMst/z5s2bh833vDrceAygHRB3OLd/kq0wM2HCBPuuigEDBpgxY8aYa665JuALFhcXZ0aPHm2+//57Y4wxBw4cMB9//LG5/vrrTatWrYzH4zE9evQwv/zlL8NmALvqxn3nnXfa01P4f935D0Bz5861y9V1w6su4j5z3P67rDZv3mwuueQSExUVZR9kGzdubHr06BFRI8O78RhAOyDucG//JFthZM2aNXaX6MCBA+3BBr/77jtz/fXXB2TyzZo1M08//bQ5fvx4wHtkZ2ebrVu3mpMnT5oTJ07URRg1VtO4n3nmmQpjW7VqlWnVqlVYjB1kDHHX5HvuH85g69at5sEHHzRpaWnmhhtuMC+//LLZv39/XYZTq9x4DKAdELcx4d/+SbbCyOzZs+0v2fjx440xP/6KmTp1arku1169epns7GxjTMmcUH7hNHCfMWcXd9kY8/Lyzm3lzwJxVz/u0gfUcPleB8ONxwDaAXFHQvtn6IcwcuTIEft5VlaW8vPzZVmW8vLytGXLFknSRRddpPj4eFmWpbVr12rOnDmSZN+hJP14668VwncclXY2cZeNMTY29txV/CwRd/Xjfvvttyt8L1Nq2INI4MZjAO2AuCOh/TP0Qxjx37JrWZb+8Y9/aOjQobrhhhu0fv16LVu2TB6PR5MnT9ayZcs0c+ZMSdKuXbvqssq1ojbjDod/Ln7EHVzcpWMNp7irw43HANoBcUdE+6/rrjVUrfTdJYcOHTI///nPy91t4X/epUsXk5eXZz7++GPTsGFDY1mWuemmmwLm/AoXxE3cboi7Otz42bgxZmOI25jIjZvTiCEqMzNTUslIwcXFxZKkhIQE3XXXXfrpT38a0D3q8Xh08cUXa/HixYqLi9PJkyftUaSbN2+uevXqhVaGXwXiJm43xF0dbvxs3BizRNyuiLvu8jxUZvDgwcayLPPmm2/a6/wXt548edL885//NOPGjTNpaWnm5ptvNlOmTDEHDhwwxhizd+9ec9NNNxnLssx5551nPvroI2NM6F40WBpxE7cb4q4ON342bozZGOJ2S9wkWyHmF7/4RcCdFm+88Yb9Wum7iYwxxufzGWN+HEF3//795qWXXjKpqanGsizTp08f+8sZ6oibuP0iOe7qcONn48aYjSFuN8VNshVC/AO5RUVFBQzMVvqLWNl56X//+9/mpptuMm3btjWWZZnzzz8/JAZyqw7iJm43xF0dbvxs3BizMcTttrhJtkLEe++9Z84//3zToEEDc8kll5imTZtWmvmXnZLhu+++MxkZGXbZiy++OGy+gMRN3G6Iuzrc+Nm4MWZjiNttcRtDshUS8vPzzZgxY4xlWaZTp05m7ty5ZvLkyQETiJ6pqzUzM9OMGzfOjBs3zuzevftchxAU4iZuN8RdHW78bNwYszHE7ba4/Ui2QsTatWuNZVnm1VdfNcaUTKkxadKkKr+Ie/fuNX/+85/t6TgOHTpUbmqOUEfcxO2GuKvDjZ+NG2M2hrjdFrcxJFshpewcTnv37jWPP/54uS/izJkzTXFxsXn88cdNTEyM6devX1hNx1AWcZcg7siOuzrc+Nm4MWZjiNvPLXGTbIUg/10XxlT+RRw4cKC54IIL7OVQmWzzbBA3cbsh7upw42fjxpiNIW5j3BE3yVYY2Lt3r5k0aZJp0aKF/aWrX7++saySWc+3bNlS11V0BHETtxvirg43fjZujNkY4o7UuEm2wkRubq4ZP368iYmJMQ0aNDCWZZnExESzefPmuq6ao4ibuN0Qd3W48bNxY8zGEHckxs10PSHO/N90BR6PR8XFxfJ6vTp16pQSEhL0xRdfqFOnTnVcQ2cQN3G7Ie7qcONn48aYJeKO6LjrLs9DdX3//fdm0qRJpk2bNsayLNO0adOIyPTPhLiJ2w1xV4cbPxs3xmwMcUdq3FF1nezhzIqLi/Xll19q7969dqZ/0UUX1XW1HEfcxO2GuKvDjZ+NG2OWiDti467rbA/V8/XXX5uePXuG/UWCNUXcxI0Sbvxs3BizMcQdiXFbxvzfyVKEvMLCQnm93rquxjlH3O7i1rirw42fjRtjlog70pBsAQAAOIi7EQEAABxEsgUAAOAgki0AAAAHkWwBAAA4iGQLAADAQSRbAAAADiLZAgAAcBDJFgAAgINItgAAABxEsgUAAOCg/w954fSup27FCgAAAABJRU5ErkJggg==", + "image/png": 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", "text/plain": [ "
" ] From 8faaa0d675c952394aa7a8acf8fafc627f28d5a0 Mon Sep 17 00:00:00 2001 From: Andy Hogg Date: Sat, 12 Oct 2024 21:58:44 +1100 Subject: [PATCH 3/4] altering Hovmoller_Temperature_Depth to do spinup relative to year 1 (as this is what this script is usually used for) --- Recipes/Hovmoller_Temperature_Depth.ipynb | 892 +++++----------------- 1 file changed, 212 insertions(+), 680 deletions(-) diff --git a/Recipes/Hovmoller_Temperature_Depth.ipynb b/Recipes/Hovmoller_Temperature_Depth.ipynb index 8f28bc19..b009a221 100644 --- a/Recipes/Hovmoller_Temperature_Depth.ipynb +++ b/Recipes/Hovmoller_Temperature_Depth.ipynb @@ -41,7 +41,7 @@ "
\n", "
\n", "

Client

\n", - "

Client-0e64dd28-8886-11ef-aa27-00000086fe80

\n", + "

Client-713b0821-8888-11ef-ba48-00000086fe80

\n", "
\n", - " Comm: tcp://127.0.0.1:35751\n", + " Comm: tcp://127.0.0.1:37239\n", " \n", " Total threads: 1\n", @@ -2282,7 +2282,7 @@ "
\n", - " Dashboard: /proxy/43885/status\n", + " Dashboard: /proxy/46619/status\n", " \n", " Memory: 3.93 GiB\n", @@ -2290,13 +2290,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:46463\n", + " Nanny: tcp://127.0.0.1:39649\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-35tkxtlp\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-ahto41a1\n", "
\n", "\n", " \n", @@ -76,7 +76,7 @@ " \n", "
\n", "

LocalCluster

\n", - "

d6b506ef

\n", + "

2d681f40

\n", "
\n", " \n", "
\n", @@ -113,11 +113,11 @@ "
\n", "
\n", "

Scheduler

\n", - "

Scheduler-29838b27-8edf-49d3-b28d-25286677b724

\n", + "

Scheduler-2763334b-d324-49d1-9de6-2a02920673d9

\n", " \n", " \n", " \n", "
\n", - " Comm: tcp://127.0.0.1:35241\n", + " Comm: tcp://127.0.0.1:42423\n", " \n", " Workers: 48\n", @@ -159,7 +159,7 @@ " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -204,7 +204,7 @@ "
\n", - " Comm: tcp://127.0.0.1:38145\n", + " Comm: tcp://127.0.0.1:42889\n", " \n", " Total threads: 1\n", @@ -167,7 +167,7 @@ "
\n", - " Dashboard: /proxy/42553/status\n", + " Dashboard: /proxy/41673/status\n", " \n", " Memory: 3.93 GiB\n", @@ -175,13 +175,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:43035\n", + " Nanny: tcp://127.0.0.1:33177\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-k_me1cu9\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-l2rsvacl\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -249,7 +249,7 @@ "
\n", - " Comm: tcp://127.0.0.1:45771\n", + " Comm: tcp://127.0.0.1:40391\n", " \n", " Total threads: 1\n", @@ -212,7 +212,7 @@ "
\n", - " Dashboard: /proxy/40929/status\n", + " Dashboard: /proxy/35519/status\n", " \n", " Memory: 3.93 GiB\n", @@ -220,13 +220,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:38087\n", + " Nanny: tcp://127.0.0.1:43447\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-26mtjcda\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-01nlrgvn\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -294,7 +294,7 @@ "
\n", - " Comm: tcp://127.0.0.1:33475\n", + " Comm: tcp://127.0.0.1:35897\n", " \n", " Total threads: 1\n", @@ -257,7 +257,7 @@ "
\n", - " Dashboard: /proxy/42339/status\n", + " Dashboard: /proxy/37381/status\n", " \n", " Memory: 3.93 GiB\n", @@ -265,13 +265,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:43229\n", + " Nanny: tcp://127.0.0.1:42339\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-l5wgcj1s\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-swhv7m8_\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -339,7 +339,7 @@ "
\n", - " Comm: tcp://127.0.0.1:41451\n", + " Comm: tcp://127.0.0.1:44645\n", " \n", " Total threads: 1\n", @@ -302,7 +302,7 @@ "
\n", - " Dashboard: /proxy/45793/status\n", + " Dashboard: /proxy/43143/status\n", " \n", " Memory: 3.93 GiB\n", @@ -310,13 +310,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:46305\n", + " Nanny: tcp://127.0.0.1:42663\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-20olxizg\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-cuho5ie8\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -384,7 +384,7 @@ "
\n", - " Comm: tcp://127.0.0.1:40311\n", + " Comm: tcp://127.0.0.1:41375\n", " \n", " Total threads: 1\n", @@ -347,7 +347,7 @@ "
\n", - " Dashboard: /proxy/45837/status\n", + " Dashboard: /proxy/35711/status\n", " \n", " Memory: 3.93 GiB\n", @@ -355,13 +355,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:36461\n", + " Nanny: tcp://127.0.0.1:38939\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-8ivquho1\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-2r5kwvx4\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -429,7 +429,7 @@ "
\n", - " Comm: tcp://127.0.0.1:40739\n", + " Comm: tcp://127.0.0.1:40125\n", " \n", " Total threads: 1\n", @@ -392,7 +392,7 @@ "
\n", - " Dashboard: /proxy/39143/status\n", + " Dashboard: /proxy/41045/status\n", " \n", " Memory: 3.93 GiB\n", @@ -400,13 +400,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:42559\n", + " Nanny: tcp://127.0.0.1:45239\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-26b7_rwo\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-x66t08hy\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -474,7 +474,7 @@ "
\n", - " Comm: tcp://127.0.0.1:43025\n", + " Comm: tcp://127.0.0.1:38469\n", " \n", " Total threads: 1\n", @@ -437,7 +437,7 @@ "
\n", - " Dashboard: /proxy/37479/status\n", + " Dashboard: /proxy/45305/status\n", " \n", " Memory: 3.93 GiB\n", @@ -445,13 +445,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:41187\n", + " Nanny: tcp://127.0.0.1:38049\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-9mxiskob\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-qpj4f6gd\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -519,7 +519,7 @@ "
\n", - " Comm: tcp://127.0.0.1:45601\n", + " Comm: tcp://127.0.0.1:44321\n", " \n", " Total threads: 1\n", @@ -482,7 +482,7 @@ "
\n", - " Dashboard: /proxy/34179/status\n", + " Dashboard: /proxy/36123/status\n", " \n", " Memory: 3.93 GiB\n", @@ -490,13 +490,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:35011\n", + " Nanny: tcp://127.0.0.1:46713\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-sz_ev052\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-ebty0okd\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -564,7 +564,7 @@ "
\n", - " Comm: tcp://127.0.0.1:33139\n", + " Comm: tcp://127.0.0.1:46753\n", " \n", " Total threads: 1\n", @@ -527,7 +527,7 @@ "
\n", - " Dashboard: /proxy/45075/status\n", + " Dashboard: /proxy/35579/status\n", " \n", " Memory: 3.93 GiB\n", @@ -535,13 +535,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:46405\n", + " Nanny: tcp://127.0.0.1:33141\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-p_yh1fpn\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-gbjyp85c\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -609,7 +609,7 @@ "
\n", - " Comm: tcp://127.0.0.1:36183\n", + " Comm: tcp://127.0.0.1:35197\n", " \n", " Total threads: 1\n", @@ -572,7 +572,7 @@ "
\n", - " Dashboard: /proxy/42945/status\n", + " Dashboard: /proxy/40157/status\n", " \n", " Memory: 3.93 GiB\n", @@ -580,13 +580,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:45733\n", + " Nanny: tcp://127.0.0.1:44033\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-imymr0u8\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-u0q2fkev\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -654,7 +654,7 @@ "
\n", - " Comm: tcp://127.0.0.1:44527\n", + " Comm: tcp://127.0.0.1:44865\n", " \n", " Total threads: 1\n", @@ -617,7 +617,7 @@ "
\n", - " Dashboard: /proxy/39789/status\n", + " Dashboard: /proxy/42199/status\n", " \n", " Memory: 3.93 GiB\n", @@ -625,13 +625,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:38665\n", + " Nanny: tcp://127.0.0.1:40859\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-5ugavpe8\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-ik1ahouy\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -699,7 +699,7 @@ "
\n", - " Comm: tcp://127.0.0.1:36969\n", + " Comm: tcp://127.0.0.1:43719\n", " \n", " Total threads: 1\n", @@ -662,7 +662,7 @@ "
\n", - " Dashboard: /proxy/38679/status\n", + " Dashboard: /proxy/43207/status\n", " \n", " Memory: 3.93 GiB\n", @@ -670,13 +670,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:41845\n", + " Nanny: tcp://127.0.0.1:41523\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-d2v44abo\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-d_v7ew8y\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -744,7 +744,7 @@ "
\n", - " Comm: tcp://127.0.0.1:43855\n", + " Comm: tcp://127.0.0.1:36351\n", " \n", " Total threads: 1\n", @@ -707,7 +707,7 @@ "
\n", - " Dashboard: /proxy/40959/status\n", + " Dashboard: /proxy/37853/status\n", " \n", " Memory: 3.93 GiB\n", @@ -715,13 +715,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:46367\n", + " Nanny: tcp://127.0.0.1:37667\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-9azdxdui\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-qlpvm49m\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -789,7 +789,7 @@ "
\n", - " Comm: tcp://127.0.0.1:38551\n", + " Comm: tcp://127.0.0.1:36895\n", " \n", " Total threads: 1\n", @@ -752,7 +752,7 @@ "
\n", - " Dashboard: /proxy/41279/status\n", + " Dashboard: /proxy/38347/status\n", " \n", " Memory: 3.93 GiB\n", @@ -760,13 +760,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:36019\n", + " Nanny: tcp://127.0.0.1:34419\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-3m6ul8jx\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-cyklk5uw\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -834,7 +834,7 @@ "
\n", - " Comm: tcp://127.0.0.1:34009\n", + " Comm: tcp://127.0.0.1:41429\n", " \n", " Total threads: 1\n", @@ -797,7 +797,7 @@ "
\n", - " Dashboard: /proxy/42497/status\n", + " Dashboard: /proxy/42761/status\n", " \n", " Memory: 3.93 GiB\n", @@ -805,13 +805,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:43533\n", + " Nanny: tcp://127.0.0.1:36999\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-p8icrav0\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-lzpq7rzb\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -879,7 +879,7 @@ "
\n", - " Comm: tcp://127.0.0.1:37931\n", + " Comm: tcp://127.0.0.1:41683\n", " \n", " Total threads: 1\n", @@ -842,7 +842,7 @@ "
\n", - " Dashboard: /proxy/34499/status\n", + " Dashboard: /proxy/39717/status\n", " \n", " Memory: 3.93 GiB\n", @@ -850,13 +850,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:41833\n", + " Nanny: tcp://127.0.0.1:43403\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-7l7hmdep\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-8vb0muum\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -924,7 +924,7 @@ "
\n", - " Comm: tcp://127.0.0.1:46369\n", + " Comm: tcp://127.0.0.1:37719\n", " \n", " Total threads: 1\n", @@ -887,7 +887,7 @@ "
\n", - " Dashboard: /proxy/35259/status\n", + " Dashboard: /proxy/33663/status\n", " \n", " Memory: 3.93 GiB\n", @@ -895,13 +895,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:44967\n", + " Nanny: tcp://127.0.0.1:36495\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-iqkctgqm\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-6vgz0aoz\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -969,7 +969,7 @@ "
\n", - " Comm: tcp://127.0.0.1:46437\n", + " Comm: tcp://127.0.0.1:36369\n", " \n", " Total threads: 1\n", @@ -932,7 +932,7 @@ "
\n", - " Dashboard: /proxy/40233/status\n", + " Dashboard: /proxy/38471/status\n", " \n", " Memory: 3.93 GiB\n", @@ -940,13 +940,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:33029\n", + " Nanny: tcp://127.0.0.1:46367\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-ifx2qgdx\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-nxkyz5jj\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1014,7 +1014,7 @@ "
\n", - " Comm: tcp://127.0.0.1:34933\n", + " Comm: tcp://127.0.0.1:34941\n", " \n", " Total threads: 1\n", @@ -977,7 +977,7 @@ "
\n", - " Dashboard: /proxy/33141/status\n", + " Dashboard: /proxy/42947/status\n", " \n", " Memory: 3.93 GiB\n", @@ -985,13 +985,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:40119\n", + " Nanny: tcp://127.0.0.1:34021\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-sppdn_hf\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-smqbrkcp\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1059,7 +1059,7 @@ "
\n", - " Comm: tcp://127.0.0.1:37231\n", + " Comm: tcp://127.0.0.1:39047\n", " \n", " Total threads: 1\n", @@ -1022,7 +1022,7 @@ "
\n", - " Dashboard: /proxy/37593/status\n", + " Dashboard: /proxy/41769/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1030,13 +1030,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:38955\n", + " Nanny: tcp://127.0.0.1:39693\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-75lnwly4\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-e27hfl5b\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1104,7 +1104,7 @@ "
\n", - " Comm: tcp://127.0.0.1:40635\n", + " Comm: tcp://127.0.0.1:44531\n", " \n", " Total threads: 1\n", @@ -1067,7 +1067,7 @@ "
\n", - " Dashboard: /proxy/40109/status\n", + " Dashboard: /proxy/34223/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1075,13 +1075,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:36693\n", + " Nanny: tcp://127.0.0.1:43693\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-szc9t0oy\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-515vip68\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1149,7 +1149,7 @@ "
\n", - " Comm: tcp://127.0.0.1:41825\n", + " Comm: tcp://127.0.0.1:38013\n", " \n", " Total threads: 1\n", @@ -1112,7 +1112,7 @@ "
\n", - " Dashboard: /proxy/38737/status\n", + " Dashboard: /proxy/44625/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1120,13 +1120,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:40925\n", + " Nanny: tcp://127.0.0.1:40117\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-piv5tu8h\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-gdqmf_e3\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1194,7 +1194,7 @@ "
\n", - " Comm: tcp://127.0.0.1:41027\n", + " Comm: tcp://127.0.0.1:44791\n", " \n", " Total threads: 1\n", @@ -1157,7 +1157,7 @@ "
\n", - " Dashboard: /proxy/45213/status\n", + " Dashboard: /proxy/39039/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1165,13 +1165,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:40815\n", + " Nanny: tcp://127.0.0.1:37685\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-oqsp_zqr\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-h_eyf2j6\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1239,7 +1239,7 @@ "
\n", - " Comm: tcp://127.0.0.1:43801\n", + " Comm: tcp://127.0.0.1:38111\n", " \n", " Total threads: 1\n", @@ -1202,7 +1202,7 @@ "
\n", - " Dashboard: /proxy/41427/status\n", + " Dashboard: /proxy/43745/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1210,13 +1210,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:39191\n", + " Nanny: tcp://127.0.0.1:38303\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-h0dtym5_\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-3lad3vx3\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1284,7 +1284,7 @@ "
\n", - " Comm: tcp://127.0.0.1:33653\n", + " Comm: tcp://127.0.0.1:36893\n", " \n", " Total threads: 1\n", @@ -1247,7 +1247,7 @@ "
\n", - " Dashboard: /proxy/32789/status\n", + " Dashboard: /proxy/35063/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1255,13 +1255,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:33831\n", + " Nanny: tcp://127.0.0.1:44193\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-_66va7bt\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-_k3ku0gn\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1329,7 +1329,7 @@ "
\n", - " Comm: tcp://127.0.0.1:44127\n", + " Comm: tcp://127.0.0.1:41421\n", " \n", " Total threads: 1\n", @@ -1292,7 +1292,7 @@ "
\n", - " Dashboard: /proxy/43603/status\n", + " Dashboard: /proxy/44851/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1300,13 +1300,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:41047\n", + " Nanny: tcp://127.0.0.1:35121\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-uws36c1e\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-ddwcm6xg\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1374,7 +1374,7 @@ "
\n", - " Comm: tcp://127.0.0.1:38369\n", + " Comm: tcp://127.0.0.1:41411\n", " \n", " Total threads: 1\n", @@ -1337,7 +1337,7 @@ "
\n", - " Dashboard: /proxy/46417/status\n", + " Dashboard: /proxy/33767/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1345,13 +1345,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:36599\n", + " Nanny: tcp://127.0.0.1:45889\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-mjwzzk8f\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-vjvuao44\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1419,7 +1419,7 @@ "
\n", - " Comm: tcp://127.0.0.1:34841\n", + " Comm: tcp://127.0.0.1:43293\n", " \n", " Total threads: 1\n", @@ -1382,7 +1382,7 @@ "
\n", - " Dashboard: /proxy/35697/status\n", + " Dashboard: /proxy/41545/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1390,13 +1390,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:44595\n", + " Nanny: tcp://127.0.0.1:41051\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-jkdp6z3e\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-77vi3_m1\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1464,7 +1464,7 @@ "
\n", - " Comm: tcp://127.0.0.1:35577\n", + " Comm: tcp://127.0.0.1:46063\n", " \n", " Total threads: 1\n", @@ -1427,7 +1427,7 @@ "
\n", - " Dashboard: /proxy/40423/status\n", + " Dashboard: /proxy/38957/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1435,13 +1435,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:45223\n", + " Nanny: tcp://127.0.0.1:36683\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-h3srb697\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-_sty_gp7\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1509,7 +1509,7 @@ "
\n", - " Comm: tcp://127.0.0.1:40185\n", + " Comm: tcp://127.0.0.1:32857\n", " \n", " Total threads: 1\n", @@ -1472,7 +1472,7 @@ "
\n", - " Dashboard: /proxy/33279/status\n", + " Dashboard: /proxy/32911/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1480,13 +1480,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:35159\n", + " Nanny: tcp://127.0.0.1:35545\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-mbr5achw\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-tvnjyw11\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1554,7 +1554,7 @@ "
\n", - " Comm: tcp://127.0.0.1:40069\n", + " Comm: tcp://127.0.0.1:34367\n", " \n", " Total threads: 1\n", @@ -1517,7 +1517,7 @@ "
\n", - " Dashboard: /proxy/46183/status\n", + " Dashboard: /proxy/37447/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1525,13 +1525,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:35027\n", + " Nanny: tcp://127.0.0.1:44781\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-kwp7isb8\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-64oy0tm5\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1599,7 +1599,7 @@ "
\n", - " Comm: tcp://127.0.0.1:32945\n", + " Comm: tcp://127.0.0.1:42329\n", " \n", " Total threads: 1\n", @@ -1562,7 +1562,7 @@ "
\n", - " Dashboard: /proxy/46373/status\n", + " Dashboard: /proxy/41087/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1570,13 +1570,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:36301\n", + " Nanny: tcp://127.0.0.1:43515\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-01eouyrx\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-4qr47eqh\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1644,7 +1644,7 @@ "
\n", - " Comm: tcp://127.0.0.1:37267\n", + " Comm: tcp://127.0.0.1:33509\n", " \n", " Total threads: 1\n", @@ -1607,7 +1607,7 @@ "
\n", - " Dashboard: /proxy/46577/status\n", + " Dashboard: /proxy/33905/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1615,13 +1615,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:45995\n", + " Nanny: tcp://127.0.0.1:44243\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-klxe0qxn\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-kwi3x39p\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1689,7 +1689,7 @@ "
\n", - " Comm: tcp://127.0.0.1:40191\n", + " Comm: tcp://127.0.0.1:45773\n", " \n", " Total threads: 1\n", @@ -1652,7 +1652,7 @@ "
\n", - " Dashboard: /proxy/41815/status\n", + " Dashboard: /proxy/45951/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1660,13 +1660,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:42663\n", + " Nanny: tcp://127.0.0.1:42643\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-1ygma__c\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-rrkwpugr\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1734,7 +1734,7 @@ "
\n", - " Comm: tcp://127.0.0.1:36593\n", + " Comm: tcp://127.0.0.1:42885\n", " \n", " Total threads: 1\n", @@ -1697,7 +1697,7 @@ "
\n", - " Dashboard: /proxy/42413/status\n", + " Dashboard: /proxy/34977/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1705,13 +1705,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:38031\n", + " Nanny: tcp://127.0.0.1:42933\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-4n2618vb\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-5irk5euc\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1779,7 +1779,7 @@ "
\n", - " Comm: tcp://127.0.0.1:36867\n", + " Comm: tcp://127.0.0.1:40121\n", " \n", " Total threads: 1\n", @@ -1742,7 +1742,7 @@ "
\n", - " Dashboard: /proxy/44769/status\n", + " Dashboard: /proxy/34991/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1750,13 +1750,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:42523\n", + " Nanny: tcp://127.0.0.1:45063\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-7uib4p5q\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-5akecxgk\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1824,7 +1824,7 @@ "
\n", - " Comm: tcp://127.0.0.1:42809\n", + " Comm: tcp://127.0.0.1:33423\n", " \n", " Total threads: 1\n", @@ -1787,7 +1787,7 @@ "
\n", - " Dashboard: /proxy/36205/status\n", + " Dashboard: /proxy/44395/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1795,13 +1795,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:37981\n", + " Nanny: tcp://127.0.0.1:32889\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-tj148spo\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-bpvyiu79\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1869,7 +1869,7 @@ "
\n", - " Comm: tcp://127.0.0.1:38331\n", + " Comm: tcp://127.0.0.1:33359\n", " \n", " Total threads: 1\n", @@ -1832,7 +1832,7 @@ "
\n", - " Dashboard: /proxy/35067/status\n", + " Dashboard: /proxy/43661/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1840,13 +1840,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:35867\n", + " Nanny: tcp://127.0.0.1:37583\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-t3rj5uyu\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-pf44shhh\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1914,7 +1914,7 @@ "
\n", - " Comm: tcp://127.0.0.1:42829\n", + " Comm: tcp://127.0.0.1:34817\n", " \n", " Total threads: 1\n", @@ -1877,7 +1877,7 @@ "
\n", - " Dashboard: /proxy/39057/status\n", + " Dashboard: /proxy/34405/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1885,13 +1885,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:39631\n", + " Nanny: tcp://127.0.0.1:45017\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-6vmywl2h\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-fve4x40f\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1959,7 +1959,7 @@ "
\n", - " Comm: tcp://127.0.0.1:44771\n", + " Comm: tcp://127.0.0.1:42831\n", " \n", " Total threads: 1\n", @@ -1922,7 +1922,7 @@ "
\n", - " Dashboard: /proxy/46721/status\n", + " Dashboard: /proxy/37605/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1930,13 +1930,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:36271\n", + " Nanny: tcp://127.0.0.1:45991\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-ferqfcu8\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-bui6r159\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -2004,7 +2004,7 @@ "
\n", - " Comm: tcp://127.0.0.1:43427\n", + " Comm: tcp://127.0.0.1:35751\n", " \n", " Total threads: 1\n", @@ -1967,7 +1967,7 @@ "
\n", - " Dashboard: /proxy/41625/status\n", + " Dashboard: /proxy/43973/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1975,13 +1975,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:45587\n", + " Nanny: tcp://127.0.0.1:35253\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-ralzu5_h\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-9hombpnm\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -2049,7 +2049,7 @@ "
\n", - " Comm: tcp://127.0.0.1:43507\n", + " Comm: tcp://127.0.0.1:44489\n", " \n", " Total threads: 1\n", @@ -2012,7 +2012,7 @@ "
\n", - " Dashboard: /proxy/39995/status\n", + " Dashboard: /proxy/33225/status\n", " \n", " Memory: 3.93 GiB\n", @@ -2020,13 +2020,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:38687\n", + " Nanny: tcp://127.0.0.1:35955\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-j1imta68\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-b4l5kl_2\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -2094,7 +2094,7 @@ "
\n", - " Comm: tcp://127.0.0.1:36361\n", + " Comm: tcp://127.0.0.1:42951\n", " \n", " Total threads: 1\n", @@ -2057,7 +2057,7 @@ "
\n", - " Dashboard: /proxy/38541/status\n", + " Dashboard: /proxy/38889/status\n", " \n", " Memory: 3.93 GiB\n", @@ -2065,13 +2065,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:45763\n", + " Nanny: tcp://127.0.0.1:39649\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-qrp18gdi\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-4ccmibxg\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -2139,7 +2139,7 @@ "
\n", - " Comm: tcp://127.0.0.1:42393\n", + " Comm: tcp://127.0.0.1:33121\n", " \n", " Total threads: 1\n", @@ -2102,7 +2102,7 @@ "
\n", - " Dashboard: /proxy/44213/status\n", + " Dashboard: /proxy/33553/status\n", " \n", " Memory: 3.93 GiB\n", @@ -2110,13 +2110,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:37103\n", + " Nanny: tcp://127.0.0.1:41887\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-cpk2ijgb\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-cekhm0vm\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -2184,7 +2184,7 @@ "
\n", - " Comm: tcp://127.0.0.1:44167\n", + " Comm: tcp://127.0.0.1:36445\n", " \n", " Total threads: 1\n", @@ -2147,7 +2147,7 @@ "
\n", - " Dashboard: /proxy/45159/status\n", + " Dashboard: /proxy/34097/status\n", " \n", " Memory: 3.93 GiB\n", @@ -2155,13 +2155,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:46329\n", + " Nanny: tcp://127.0.0.1:38969\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-u78yihn9\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-0kznul3i\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -2229,7 +2229,7 @@ "
\n", - " Comm: tcp://127.0.0.1:42865\n", + " Comm: tcp://127.0.0.1:39647\n", " \n", " Total threads: 1\n", @@ -2192,7 +2192,7 @@ "
\n", - " Dashboard: /proxy/33997/status\n", + " Dashboard: /proxy/36007/status\n", " \n", " Memory: 3.93 GiB\n", @@ -2200,13 +2200,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:39679\n", + " Nanny: tcp://127.0.0.1:42967\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-wg2_9241\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-_kej90lt\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -2274,7 +2274,7 @@ "
\n", - " Comm: tcp://127.0.0.1:40865\n", + " Comm: tcp://127.0.0.1:43781\n", " \n", " Total threads: 1\n", @@ -2237,7 +2237,7 @@ "
\n", - " Dashboard: /proxy/45593/status\n", + " Dashboard: /proxy/43655/status\n", " \n", " Memory: 3.93 GiB\n", @@ -2245,13 +2245,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:43435\n", + " Nanny: tcp://127.0.0.1:38285\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-_bmddiev\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-jbfz9g9k\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -2323,7 +2323,7 @@ "" ], "text/plain": [ - "" + "" ] }, "execution_count": 2, @@ -2343,10 +2343,7 @@ "outputs": [], "source": [ "catalog = intake.cat.access_nri\n", - "\n", - "experiment = '1deg_jra55_iaf_omip2_cycle1' # 1-deg experiment\n", - "\n", - "start_time, end_time = '1989-01-01', '2018-12-31'" + "experiment = '1deg_jra55_iaf_omip2_cycle1' # 1-deg experiment" ] }, { @@ -2355,7 +2352,7 @@ "metadata": {}, "outputs": [], "source": [ - "def load_var(experiment, variable, frequency, start_time, end_time):\n", + "def load_var(experiment, variable, frequency, start_time=None, end_time=None):\n", " cat_subset = catalog.search(name = experiment)\n", " var = cat_subset[experiment].search(\n", " variable = variable,frequency = frequency,variable_cell_methods='time: mean'\n", @@ -2382,15 +2379,15 @@ "outputs": [], "source": [ "## Loading the variables\n", - "temperature = load_var(experiment, 'temp', '1mon', start_time, end_time)\n", - "salinity = load_var(experiment, 'salt', '1mon', start_time, end_time)" + "temperature = load_var(experiment, 'temp', '1mon')\n", + "salinity = load_var(experiment, 'salt', '1mon')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Compute anomalies relative to the 30-year time average" + "Compute anomalies relative to the first year (assuming monthly output here)" ] }, { @@ -2399,8 +2396,8 @@ "metadata": {}, "outputs": [], "source": [ - "temperature_anomaly = temperature - temperature.cf.mean('time')\n", - "salinity_anomaly = salinity - salinity.cf.mean('time')" + "temperature_anomaly = temperature - temperature.isel(time=slice(0,12)).cf.mean('time')\n", + "salinity_anomaly = salinity - salinity.isel(time=slice(0,12)).cf.mean('time')" ] }, { @@ -2420,473 +2417,9 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 7, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/g/data/hh5/public/apps/miniconda3/envs/analysis3-24.01/lib/python3.10/site-packages/dask/core.py:127: RuntimeWarning: invalid value encountered in divide\n", - " return func(*(_execute_task(a, cache) for a in args))\n", - "/g/data/hh5/public/apps/miniconda3/envs/analysis3-24.01/lib/python3.10/site-packages/dask/core.py:127: RuntimeWarning: invalid value encountered in divide\n", - " return func(*(_execute_task(a, cache) for a in args))\n", - "/g/data/hh5/public/apps/miniconda3/envs/analysis3-24.01/lib/python3.10/site-packages/dask/core.py:127: RuntimeWarning: invalid value encountered in divide\n", - " return func(*(_execute_task(a, cache) for a in args))\n", - "/g/data/hh5/public/apps/miniconda3/envs/analysis3-24.01/lib/python3.10/site-packages/dask/core.py:127: RuntimeWarning: invalid value encountered in divide\n", - " return func(*(_execute_task(a, cache) for a in args))\n", - "/g/data/hh5/public/apps/miniconda3/envs/analysis3-24.01/lib/python3.10/site-packages/dask/core.py:127: RuntimeWarning: invalid value encountered in divide\n", - " return func(*(_execute_task(a, cache) for a in args))\n" - ] - }, - { - "data": { - "text/html": [ - "
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(st_ocean) float64 400B 1.152 3.649 6.565 ... 5.034e+03 5.254e+03" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "cat_subset = catalog.search(name = experiment)\n", "dxt = cat_subset[experiment].search(variable = 'dxt',frequency = 'fx',path=\".*output000.*\").to_dask()['dxt']\n", @@ -2896,8 +2429,7 @@ "## Make a mask to get vertical variation of A\n", "temp1 = temperature.isel(time=0)\n", "cell_mask = temp1/temp1\n", - "total_area = (cell_area*cell_mask).cf.sum({'longitude', 'latitude'})\n", - "total_area.load()" + "total_area = (cell_area*cell_mask).cf.sum({'longitude', 'latitude'}).load()" ] }, { @@ -2911,7 +2443,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ @@ -2926,7 +2458,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 9, "metadata": {}, "outputs": [], "source": [ @@ -2961,7 +2493,7 @@ "outputs": [ { "data": { - "image/png": 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", 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D0isvL5ckSZKeeuqpkPtNB5lgMCiFh4crfn/9619bqOSnn1PVzs/2Nt7S9XSy7fRI2Gw2aeHChVJ8fLwSvnfv3idX0DMAMR6cPs6Euj8Srd3G/xjzkmchHo+H3NxcxZ2VlRXi39y9ZcuW35Vf07wA+vbte9SwhYWFuN1uXC4Xubm5vPTSS3Tr1o1Vq1b9LhlOFy1d1/v378fhcJxwek3TjYiIIDo6WnGrVCoyMzOPW4azhVPZzs/mNt4a9XSy7bQpGRkZqFQqIiIiGDt2LBUVFQBERkby4osv/qYMZyJiPDh9nCl135RT1ca1LZaS4ISora1V9pcAh308MywsLMRdVVV10nmVl5dz7733Ku4hQ4YwZMiQw8LFxMQwatQosrKykCSJRYsWsWHDBgBsNhtTpkxhz549Z/T3p45ES9f1ob0UJ5pe03hH+lhq03i/53mfSZyqdn62t/HWqKeTbae/RWZmJp988gl9+vQ5rvBnGmI8OH2cKXX/W7RGGxfKVivy3HPPHfH+3XffHdLggN90q1Sqk5Jh3759XHDBBezfvx+AnJwcPv3008PCPfjgg7z55ptotY1N4vHHH2fq1Kl88MEHABQVFfHjjz+GbDI8G2jpuj7Z9Jrebx6m+b2Tfd5nGqeinZ8tbfxUjwctkeYDDzxAbW0tVVVV/PTTT2zcuJG8vDwGDhzIm2++ydSpU39TjjMNMR6cPs6Uum/KqWrjQtlqRe65554j3r/77ruJjo5GpVIpjaGhoSEkTH19fYi76RTz8bJmzRouuugiKisrAejWrRvff/898fHxh4U90skslUrFbbfdpvwQAezYseOsU7Zauq5jYmJC3MebXtN4zeM0j3cyz/tMpLXb+dnUxk/1eHCy7bQpN9xwQ4j7uuuu4+2338br9XLTTTcxatQoEhMTf1OWMwkxHpw+zpS6b8qpauNiz9ZpwmAwkJ2drbj37dsX4t/c3a1btxNK/4svvmD48OHKj9DIkSNZvnz5CTea5m8GZ+Px45au67Zt22KxWE44vabp2my2kCnwYDBIXl7ecctwttCa7fyP1MZbo55Otp0ei4svvli5drlcrFmz5jfjnGmI8eD0cabU/bFotTbeYlvtBSfM3XffrZx6sFqtUlVVleI3ceJExS8pKSnkCOzDDz+s+KWnpx+W7gsvvBBi4O26666TfD7fUeXIzc2VHn30Uamuri7kfjAYlP7yl7+EnOZYuHDh7y/4aeBk6vpY9dw0Tnp6uuR2uyVJkuusX79+il+/fv2UONu3bw+py9dee03x++abb0L8jmTa4Gylpetekv6Ybbw1xoOTaae7d++W1q5de0QZb7zxxpC6+vLLL1uwBk4dYjw4fZwJdX862rhQtk4jRUVFUlhYmPJQO3XqJD3yyCPS5MmTQx72iy++GBLvWA3vueeeC4nbrl076dlnnz3sr6ndlk2bNkmAZLFYpAkTJkizZs2S7rvvPql3794haeXk5Eher/dUVE2LczJ1fax63rBhg6TRaBT/c845R3rsscekMWPGHLOjXnLJJYqfyWSS/v73v0v33XefFBUVpdzv06ePFAgETkW1nBJauu7/qG28NcaDk2mnX3zxhQRI3bp1k2677TbpiSeekGbOnCkNGDAgJE5YWJhUW1t7Cmqm5RHjwenjTKj709HGhbJ1mvnqq68kg8EQ8oCb/l111VWHdbRjNbzj+SQJyJ9DOMShH6Jj/SUnJ0s7duw4BTXSepxoXf/W7Mprr70mqVSqo6Z3//33HxansrJS6tat21HjpKWlSXv37m3NajgttGTd/5HbeEuPB5J04u300A/Rsf7MZvNZO6t1CDEenD5Od92fjjYulK0zgJ07d0rTp0+XUlNTJb1eL0VFRUkjRoyQPvrooyOGb+kfIq/XK3333XfSLbfcIvXo0UNKTEyUtFqtFB4eLvXr10969NFHz9o32OacSF3/VgeXJElas2aNdPnll0uJiYmSTqeTYmNjpXHjxknff//9UWVwOp3Sk08+KfXs2VOyWCySyWSSOnXqJN13331STU1NSxX1jKOl6v6P3sZbcjw4xIm00+LiYumhhx6SRowYIaWlpUlms1nSarVSTEyMNGDAAOmBBx6QioqKWrLIpw0xHpw+Tmfdn442Lr6NKBAIBAKBQNCKnH1HywQCgUAgEAjOIoSyJRAIBAKBQNCKCGVLIBAIBAKBoBURypZAIBAIBAJBKyKULYFAIBAIBIJWRChbAoFAIBAIBK2IULYEAoFAIBAIWhGhbAkEAoFAIBC0IkLZEggEAsEZx9KlS1GpVMpffn6+4jd9+nTl/rBhw1o1r9NBRkZGiDyH/s4GNm/efETZW+I5nc0IZUsgEAgEx40kSXz44YeMHj2a+Ph4dDodkZGRZGVlMWLECO666y6WL19+usVsMc40RUxwdqI93QIIBIIzl3feeYdrrrnmsPsPP/wws2bNUtySJPHqq68yf/58AoEAd9xxBxMnTmwRGS655BK+/PLLw+4vWbLkT/+2fDqYOnUqH3zwQcg9m82GzWYjLy+PJUuWYLPZGDJkSKvJMGXKFLp06QJAamrq706vbdu2PPvss4o7Ojr6d6fZUkyePJk+ffqcbjGOm+TkZKUuFy1axA8//HCaJTozEMrWH4SMjAwKCgpOKI74sWp5mk71z5kzh+nTp58+YU4hM2fO5JlnnlHcP//8M6+//jo33njjYWEPHDjA7Nmz+emnn8jNzaW2tpaoqChSUlIYNGgQU6ZMYcCAAadSfMFxsmDBghBFq3///owcORKDwUBRURG5ubmsXr261eUYO3YsY8eObbH0UlNTufvuu1ssvZZk7NixZ9U4EhcXp9Sl3W4XytZBxDKiQCA4LqKionj22Wd59tlnGT16tHK/rq6Of//735x33nmUlpayZ88eunTpwoMPPnhYGi+//DKZmZnMmjWLFStWUFFRgc/no6Kigo0bN/LSSy9x7rnnUldXp8S55pprlHwFp5emP5zt27dn1apVPPbYYzz44IPMnj2bZcuWUV5efpiSXVFRwT333MOIESNIT08nLCwMvV5PQkICo0eP5v3330eSpOOW41h7tpou+b3zzjssXLiQIUOGYLFYiIyMZMKECYe9mB5tqVClUjF8+PCQsJmZmUq46dOn89577yluq9VKQ0NDSPjq6mp0Op0S5quvvjruch6L5uX87rvvGDRoEBaLhaioKCZNmsT+/fsPi7dixQouvfRSkpOT0ev1WK1WMjIyOP/885k1axY2m00JO2zYsJCyNmXWrFmKX0ZGRouU6Y+MmNn6g/DAAw+EdJLa2lqeeOIJxT1q1KiQH0iQp84FoTQ0NBAWFna6xThhToXc4eHhR3z737t3L36/nzvvvJM2bdoAcOONN3L77bdTXV1NTEwMAE8++ST333+/Ek+r1XLhhRfSs2dPAPbs2cPChQupqqoKSf/iiy9Wru+5554WL5fg+PH7/cp1TU0Ne/fuJTs7OyRMVFQU/fr1C7lXWFjIc889d1h6FRUV/PDDD/zwww8sXryYt99+u0XlfeONN1i1alXIvS+++IItW7awbds2jEbj785j8uTJ3H333VRWVuJwOPjoo49ClM3PP/9cqbf4+HguuOCC351nc9577z2WLFmiuJ1OJ59++ilLly5l1apVtGvXDoCffvqJMWPGEAgElLA+nw+Hw0FBQQELFy5kypQpREREtLiMf3okwR+SvLw8CVD+Hn744WOGX7JkiXT55ZdLKSkpkl6vl8LDw6VBgwZJb775phQIBELCzpkzJyTturo66bbbbpMSExMls9ksDRs2TFqzZo0ix8SJE6XIyEjJarVKY8aMkbZu3XrM9Fwul/TQQw9JWVlZkl6vl7KysqRHH31U8nq9LS57Q0ODdNddd0lpaWmSRqNR6qm8vFy6++67peHDh0tpaWmS1WqVdDqdFB8fL40aNUqaO3euFAwGlXSHDh0akm7zv/T0dEmSJOnhhx8+7F7TcjSNk5eXd8Jyn0ydHIum+TaX9xAHDhyQAGn69OmS3++XnE6ndN5550kWi0Wpo23btkkajUZJKz4+Xtq0adNhabndbumll16S7Hb7EfNqWgdLliw57nIIWoa33nor5BmoVCqpe/fu0vXXXy+9/vrr0r59+44Yb8OGDVLnzp2l6dOnSzNmzJCefPJJ6eGHH5bGjx8vqVQqJb1D44YkHbs/TJs2Tbk/dOjQkLya970uXbpIDzzwgDRkyJCQ+x9++OFv5vXss89KN998c4jf/fffLz377LPSs88+Ky1YsECSJEm6//77Ff++ffuGyDNq1CjF76677jquek5PT1fizJkz54hhmpezd+/e0oMPPihNmDAh5P55552nxJk0aZJyv0OHDtKDDz4o/etf/5Kuu+46qXfv3pJKpZJ27typhG86rk2bNi0k/2ONZUcK0/w5/dkQytYflBNRtmbMmHFMRWHcuHEhik7zH/7evXsfFsdoNEpfffWVFBMTc5hfTEyMVFFRcdT0RowYcUQ5Lr300haXfeDAgUesp3Xr1h0zXUC65pprlHRPtbJ1NLlPpk6OxfEoW5IkSZdffrnybMPDwyVAuu+++xT/m266KUSGzz777Ljyb07TNISyderxer1S9+7dj9m+hg8fLu3ateuI8QsKCqT58+dLr7zyivTcc89Jzz77rJScnKzEfeSRR5SwLaFspaenK4q71+uV4uPjFb9//OMfx5XXsfwOUVRUFPIy8euvv0qSJElVVVWSVqtV7jd/0TwaJ6psde7cWfJ4PIrfDTfcEOK/d+9eSZIkafz48cq9jz766LA0Dxw4IDkcDsUtlK2WQywj/sn58MMPefrppxX3uHHjOOeccygpKeHdd9/F5XLx7bff8vDDD4csSzZl06ZNXH/99YSFhfHyyy/j9/txu92MHz8es9nMnXfeSW1tLe+++y4g72F46623mDlz5hHTW7JkCVOnTiUtLY3PPvuMXbt2AfL0//vvv89VV13VYrKvXLmSgQMHct5559HQ0EBKSgoAarWazp0707dvXxISEoiMjMTtdrNp0ya+/vprJElizpw53HzzzfTr14+//vWvXHjhhSHLXE1PEbX0tPzR5G6JOjkZ3n77baKjo/n8888JDw/njjvu4KGHHlL8Fy9erFxHRUVxySWXtFjeglOHTqdj2bJlPPbYY7zzzjuHLfmC3H9Hjx7Ntm3blKXt6upqpk2bxrfffnvM9IuLi1tU3quuugqLxaLInpmZSUVFBSBvtWgpUlJSuOSSS/jss88Aefny5ZdfDllC7Nu3r3KCsqWZPHkyer1ecV911VW88cYbinvDhg20bduWwYMHK3vGpk+fzuuvv052djY5OTkMHDiQfv36nTX2vM46Tre2J2gdjndmq2fPnkqYG2+8McTvtddeU/ysVqvy5tR8luWxxx5T4kyZMiXEr+nbU9++fZX7EyZMUO43T+/xxx9X/Gw2mxQbG6v4DR48uEVlnzJlSshyYHNO5E1ckkLfNo/0RtpSM1tHk/tk6uRYHO/M1m9hNpuVdPr373/S6TStAzGzdXoJBALSli1bpNmzZ0tXXHGFZDKZQp7PO++8o4S9+OKLjzkbduiv6exJS8xszZ49O8Sv6VLi8eZ1PDNbzcNFRUVJLpdLGjlypHLvP//5z3HX7YnObL322mshfrt27Tqiv8/nk6ZOnRoyC9f0r0uXLtKBAweUdJrObF199dUhecycOVPMbJ0A4jTinxin08nmzZsV9+zZs0NOuNx8882Kn91uZ8uWLUdM5y9/+Yty3fRUik6nC7G11HQj7bHeKqdOnapch4eHc9FFFynu9evXt6jsM2bMOOKbXHV1NRdeeCHp6elMnDiRv/3tb9x9993cc889lJSUKOFa+k38eDmS3C1VJwLB8aBWq+natSs33HADH374IStXrgzx37t3LwAOh4NvvvlGuT9lyhSKiooIBAJIkkTfvn1bTUadThfibs1Zm2HDhtG1a1dAHt9ef/11li5dCoDRaOSKK65otbwPzdYdory8PMQdGRkJyIdS3nvvPQ4cOMD//vc/nn76aa699lqioqIA2LZtW8iKg1rdqCK4XK6QNPfs2dOSRfjDI5StPzG1tbUndNy6srLyiPeTk5OVa4PBoFzHx8ej1TauVDe9DgaDR80nPj4+xJ2QkKBcu1wuPB5Pi8ne/CTVIa677rrfXPIA8Hg8xy1Dc5rLfyJpHUnulqqT1qBpG9m9e/cJySk4c3j33Xd5/fXXDzNvAGC1WkPch37gbTZbyOm3yy+/nJSUFNRqNTt37uTXX39tVZl/L80VNqfTedSwt956q3I9c+ZMZQnxkksuUeqjNZg3bx4+n09xv//++yH+h7Yz5Obm4nQ6iYuL4+KLL+bee+/lrbfeCjHTsmHDBuW6qcybNm3C6/UCsHPnTr7++uvWKMofFrFn609M884/YcKEYxqTzMnJOeL95oPRIZoqVydCRUVFiFXopm9pRqMRg8HQYrKbzebD7h3pTfzZZ58lKSkJtVpNv379WLdu3fEWJ4SWelM8ktwtVSetwYgRI5Ty1dbW8uWXX4p9W2cheXl5/Otf/+LOO+9k8ODB9OjRg6ioKCoqKpg3b54STqVSKaZm4uPjiYyMVGyn3XHHHWzatAm73c4777yj/ICfqTR9UQC45ZZbGDt2LFqtlvHjx4e8+EydOpWZM2dSV1eH2+1W7h/pKwwtyfbt2xkwYADjxo1j27ZtfP7554rf8OHDFTM///d//8fcuXM577zzyMzMJCEhgZqaGt577z0lfNNxpE+fPnzxxReAPFPZt29fOnTowPfff3/GP7czDaFs/YmxWCx0795debOsra3l73//OxqNJiRcZWUlK1euJCsr65TINXfuXMUeU319fcgb1KE3tNaU/Whv4sBvvolrtVrlbfZIb8BNB7LKykr2799PVlYWDQ0N/Pe//z1uGY/Emfo8Af72t7/xxhtvKDOaf/3rX8nKyqJbt24h4bxeL7Nnz+aaa65RNjYLzjzcbrdiH+tI3HvvvcqSmlarZebMmcryVHFxMY899hgAXbp0oW3btiGzKWcaGRkZ9OrVi40bNwKwbNkyli1bpvg1VbbMZjPXXHMN//d//6fcS01NZeTIka0q4/nnn8/ChQsPq8eYmBhee+21kHtOp/Oos1JqtZq77rpLcV977bU899xzyraPLVu2sGXLFgwGA0OGDPlDfQOztRHK1p+cu+++W9kjtWTJErp3786FF15IREQEFRUVrF+/ntWrVzNo0KBTNhPxz3/+k127dpGens78+fNDTjzdcMMNrS7773kTT05OVqxTP//881RXV2MymejZsyfnnXfeYd84GzRoEMOGDeOXX34hLy/vuGU8Gmfi8wT5R/Vf//qXslxRVlZG7969GT9+PD169ADk5cVDRk0PnTgVnFnceeeddO3alcWLF7N+/XrKysqorKwkEAiQkJBA3759ue666w4z3DljxgzCwsJ48cUXycvLIyYmhosuuoinnnqKCRMmnKbSHD+fffYZ//jHP1i2bNlvLtffeuutvPjii8qLxbRp00JmtFuDSZMm8Y9//INHHnmEDRs2oNPpGDlyJE899ZRi0BTk7RGRkZGsXr2avLw8KisrCQaDJCQkcM4553D77bczaNAgJXxiYiJLly7l7rvvZuXKlWg0GgYPHsxjjz3Gl19+KZStE+E0bs4XtCInYmfrnnvu+c1TQk1PkjQ/GdeUY522O9oJoubpjRs37ogyjB8//rATeC0pe1Oeeuqpo57WaWpXrLntmb///e9HjHfrrbcqYc4999wjhhk9evRRTz0dr9wnUyfHoqVOIx7i3//+t6TX639Tvtra2iPGbxpGnEYUnIm4XC7F1pxKpVJsXJ0ITU8jTp48WTGi2pSmfeFoJxZPBxUVFYq8TQ26/tlPI4qZLQHPPPMMF154If/9739ZtWoV5eXlGAwGkpKSyMnJ4cILL2T8+PGnTJ7PP/+cp59+mnfffZeioiKSkpK45pprmDlz5mGniVpL9pN9E3/88ccJBAJ89tlnlJWVhSxHHuLrr7/mrrvu4uuvv8bhcNClSxfuvfde4uLiWLRo0QnL2pwz7Xk25e9//zuTJk3ijTfe4Mcff2T37t3U1dURGRlJamoqAwcOZMqUKa26mVggaA1++eUX6urqePfdd6mvrwdgzJgxv/uzaPPmzVP2w52pH8tuSklJifis1hFQSZI4FiQ4vbzzzjshG0hFkzxzaPpsoqKilL105557Lueee+4pkeHLL79UNtc3HcSXLFly2EeIBYLTRUZGRsgHrg0GA2vXrj1sX+LJpHWIpmNj0xfPOXPmHPah6NPF5s2ble+dNmXo0KGKKYw/I2JmSyAQHBe1tbWKsvPwww+fMmVrzpw5fPnll6ckL4Hg9xIWFkavXr14/PHHT0rRAsjPz29ZoU4hPXr0EC/MR0AoWwKBQCAQ/E5OtYIkFJqzC7GMKDjtiGVEgUAgEPyREcqWQCAQCAQCQSsiPtcjEAgEAoFA0IoIZUsgEAgEAoGgFRHKlkAgEAgEAkErIpQtgUAgEAgEglZEKFu/g927d3PdddeRkZGBwWAgNjaWUaNG8cknn5xu0QQCgUAgEJwhiNOIJ8l3333HZZddhtvtPqL/tGnTmDNnzmGflxEIBAKBQPDnQihbJ0FJSQmdO3fGZrMB0KlTJ6ZMmcKOHTv4+OOPlXCvvPIKt9566+kSUyAQCAQCwRmAsCB/Erz00kuKohUWFsaKFSuIjo4GQK1W8+GHHwLw5JNPcvPNN6PRaE6brAKBQCAQCE4vYs/WSfDVV18p18OGDVMULYDLLrtMuS4pKWHDhg2nVDaBQCAQCARnFmJm6wTxeDzk5uYq7qysrBD/5u4tW7bQr1+/w9LweDyKOxgMUlNTQ0xMjNjjJRCcYUiSRENDA0lJSajVv//9VPR/geDsoaX6v1C2TpDa2tqQb/eFh4eH+IeFhYW4q6qqDkvjySef5F//+lfrCCgQCFqFoqIiUlJSfnc6ov8LBGcfv7f/C2XrBGl+nuC33Ed6U73vvvv4xz/+obhtNhtpaWnMG9eTng+9xKBL/8mwhjzqHnqRR8/L5KIL7+C58CLuGPp/xEUEcXpUvLDhXu7s/QymzZXMu96LvudwXl6zly8efJ7Pru9A8tX3AHDe+CfJzP+KvIGv4DQakTb8m4VPT2LsjE+IzLgYSRfGuxfsZvSGIZh/fo7vZo3jhUA2a/Mk6t5/gdtemMnbs+Zz7ayJvHznU2TVbGHyR/MAePLWx3lvONyedzEAdflf8vU3L3LRhXcA8Mvyt8ivquP7vWV8/sYBYtbcy7Xz5+PwBXjy1sf57PoOXD3fT/trLmTPnG/4+OYULnpqqVIvH3/+PFMm3AXAP30ljP1mDrW6MC6f9ARzzg9wV8RV3DskmjunP8RdrlKi5r5G9/3LWZU6kNVXX8/V38xjU3kdGw94uHbJY3R+7mNGXfYy825NJrz7AHa7tdz2WCF/3/wAF6/6lsolX3LBrG+5xX6AH2c8zWsX53DOI/tYOnInl2zPplOKxKp1Wr6IeBXNdY8x/t8H+CbjE3y1lVjadeXd2MH8eus0Xly1BEv5PkZc9xL/yTrAupv/zZh2iby8ppjwB//BwxsXUbP4c3Zn9Md/+zWEp1l4bugj3Dj3LpJH9STzjqcZe/VX9Nj6Anct+wrD/s1c9ugmpuYtIOLdVxjVPoW5m/ez7sZreHP19/jdDp7fVsu0qhVE9RvJsH+7+WLQz7iK99OQu5uer85nctdzuDYuircra8md9g43fngPg795F4CpH1bwXvmjzBvzTx45N42HVhVyfd5nAGwaMJXVV1/PIKOejpe0456EmzA+dy1vfvEmcyfdx6aHnqb+wWv5cNs6Cmf/i7S//J0r+5/Hs/dOwrFvF/rbnsfx1M3oLBZ2TnwA77W30v2CJCxtO3DZm7v4T9YBjI+/y/6JU3l4wvOM+vA2bpreF2dRAWHZHZn50jc8OrU/AacLS9sOBNxOAi4nDydexTPaVQCUfv0lP1zznFz3z9zOHfe+RPdX3+XXW6dxS0YUnxS7eerTl7n+0uu51BTLF67QF6BHp/bnwblrFPcTS3/g/mGjuDIshg8bqnnh/Zc4Z+LUw16kTpaj9f9ulu6UTTiHwOJcbn9xHKOW7eSiz/cTuKIX5+VYmPzRPv6aW8rbH91C/8SOVPtdDBl1LwAXPzGcizM7cu0V/0GfGsW61+6h+7j7AQhO6M7yDpEMe2IZqvM7ETDpWNkricH/XMD9/53AXzoMp+zLuZz3wlpuf3EcV+pjqEvNZOyFskI49dlRzL3nB0Xel9+7htuunqO4l//wjCKH2qAl6PEftezr3ruNvle/rLg3zr+fXhOfUOL9+u0Tity6BCuegW1Rf/4rAD0fGMimx1cCoE+NYtHUbgx7YhkAmfcM4PZPCvh7QSkblr/CqvwNtFu0ivPfz2Xqs6P4e2ZfSj78mIs+38/L712DRWfirw9+imdvJcNmDWbG3grGOI0QrmPr5RN4ZdzLvMEBFn7zMHafi2WT3udlXym7fpmDWoLSr99h2BPL2LD8FWrmvs4rmbF8V+Dg64vO57nzXmBZRgBfuR3dwLas+ftkek18At3AtrjTIvilbyYD//EZw2YNJtVi5OJ2PZl46TNk3jOAOTo95/1Shtrjp8uwRP6b0pZz/voewQndIVzH3ptuJXvANUr9Rd5+DnUv/aK4DX3S8awvOOy6KYZ2cXjbx7HsH9MZMupedAlW/L3SWHDr5coz7/nAQB7oM5CJlz7D/f+dwKrySpbOWqGkcfETw/ny/iWKe+E3Dytxm7YZzYgc2JCPtn2iIktweh/U76wHQBNhYMZT43jir58r7eeTj//BxEufkdvAwLb8dVIHXrrjW4LT+yB5gvTJMrHp8ZXoU6O4+e5zeemOb5V8b39xHC/d8S361Ci8RbUh9WPomkQw3IRv5T5Fxn4JKUpbbt7OVed3Qlqwg2DQT+2Bn393/xd7tk6Q6OjoEAWqoaEhxL++vv6w8M0xGAyEh4crfxEREfJ9n5+49Lao1Vp8BNGZLDglDWq1FpVLg98eRli4BZdkRe+RcElWgpZErGYTCXExFLuM6I2RRMTGEWU14wqq0Blj8EoB3GExWANq1GotZlUQtVqL2pSARmtGb68hzG9CrdYSHhNLdGQYJXXhqNVajGYLao2eyoAetVqLVqUiLjKCWkmHWq1F7/WAu4xAZHvUai2JMTFy2motGp2BhOgo8pwGgpZEtCoVZotViWs1GlBr9FR75DxMBJS4arWWhOgo5TrKrMKsVrHH5kFniiEiMpLIKAv1yP4mlYb4qEgiomMxWSz4COLX6smMi0ZnsmD0+aly+9FHdMBqNmFWqyj2BKmKj4OAFrNGTXhMrFxmlQat0YITNWF+EyZVAJdkJTLCikpnwaLXUeoKIEWasRr0aOrqSOjal3YJkWhVKqzWMGLSslCrtVi0GgxmCwnRUehMFvwE0egMmFQB2sREo3JpiG+fQUSEBbNGjSnoxRVUoTYl4COI1RpGVHwiOmMcRpUGk8VCQlwMsZHheKUAYYnJmNUqDGYLpoCHxI5dcYaHYTUZMAW9pPTvh97rRKtSYVJraKOzEBZhJkqtwWK1Eh8ThdpgwaLTUhswY9Kq0JssmII+Erv1Iy4yAp1KDQEtsZnZREZZ0KpUhFksJOvUREZY0apUcpmCPsLCwuQ2kt0FvdeDSmfAotOS0Lk7mfExSEEtFr2WhO790RsjsWhlOTIyVIRFmIlQ64luk4zR5yciMgqtSkVsZjZ6rwerUc4juf8wkuKschkDHlLP6UVClJyviQBt9RGKOy7RINeTRZY7KRy0KlXIn6auLsSdEB2l1JdWpcJIADjyi9PJcLT+r1FpmDBebjcHpCCRURa5vx5wsboW0tKNqNVadjkq8Jo0ZEbFK/1jYbmfnpld5LEiAOakZMVPZTAQnZYqt+06H5YDTsLMclrrGhrwmjToG1xKvsl9R5AQm6DE/6XBH9Iv6/CGuNV6lXKND3TR1lD/Jn+pvYeFuOMyspV4arWW6IQkxS9Q6caUGq64N5QEG8sUgMQ+A9CN7YparWVfJbSJlceozZU7+bWhiphUuX7cOi1hbXNQ2+U8fm2oYlVNEZ6Rct5xkVba9OrEjeelYSjzYE5Kpk2YQa7rhmJ2NpTQLkFOO7+hkApvFYYGB2q1lkpPNUmDB3LPwAsIlvko8VTRMzIK36Xd5TGwtIGkjr2Va2t+AwmdeqFWa9nqVPNdpZfuGZ1Rq7WUerXEdehIZJ9E1Hk17LCrSe47Qh5H8m3oagNYI8JD6m9UVlSI258c3fgsSuuP+AwCpQ0Yy53KcwtUujGWO2mbnKWE2VQNbdtkoFZr2eNxsdWpDknj57pgiBtDqP+wLLlu9XUepIZAiFyGMo9yLTUE2ONxhbSfYnd1429IaQPdU2Q5dLUBjLU+eifJaQWrXez0hLbF1Q1uuR5KGuS26tUofsGSeggzK+7vKr20P1hGtVrLLk9omYzlzka5WqD/C2XrBDEYDGRnZyvuffv2hfg3d3fr1u24067Y6WDZvgMAVPqdWPQq/ruhDICSOi0pRfJeMYtRIn+fhsi9LgB8NeX4q0rZ9Z0HgyWJgL0eR9F+5m0rRGPNbMyg6DsA7LmblVs+Qzj1u7YTUSJr/0GXg04xRhJXzwcgTC+fpPxhR0CJY9VreecX+e3Vnl+Ns65xD5ve3jhrYDbqSQo3sWCZhrIUsxL3000+ALw1FWh0YdSt8hyU69eQ+ojXBkPczsLd/N9KG/qobgRcDiwG+Hq3A4CtAT8RRj0JIy/DqtNS6Xeysbz+YJ5gy7fz2voivNYUvDXlOAt38/VuB/qYIM6ACr/LTtSgcRgtiZRJcr6vrS/CblLjKtyLvlhOJ2iRcOQX8dF2GzGRQbw1Fdjzq9F2HkAbi0GRdZdb7qCOSp9Sh1Y9FPjq2VRcIT9Hg47aBg0J46bSNkZDbZUGR34R87YVUpLYhkq/E6tBD+mdwZrJPnxYddqQ55JXWQtAapgOV0ke87bkEZUckNtAfhHp18zEW12uyHWB2UJcuITz4ASsw+PDYpTwVNrYWigPJlaDGm91JabBl5AcbsYp+dnvl0i8+BriwxoHnJ4XJ9MhVpZnxf5SAPwuOwARPQehs1qwGHTY86tJmXIbSREWyqQg9rxS6nLOxWBJwueQ21HbG68lLlyiKugmetAF+B0eAi752VpyeqCzWgi4HDgK8jENvoTEMDUBez2ukjyybnmUJKtekeuqXiayo+T2Fjf4XCxqHX673BYSu1hC2lS6LhxPpS203UVYlesRugT8NRWcCgZb2vNkh0EALC51Ys5Ikj12l6H+fh+Jg9sD8EVhNa9uWEDt+h+VuOoVRcRq5TIH6ly8seFrej8yFAB9rYuwTgf3jdY68KzJw9qpD4YeKSwvcfPqhgXUF8l1vbnGzaKCdUpaAIXLy9CnN740Li8LrY8lBZtD3NqM2BC3LrFxRuDjLd8pcgG4NaE/YM3d3eIan6tp0S4Ck3spbldSGs9Ok8tlXraP5B5h6Ia0J7e2nLm767B07Iwm0sjmGjdvbPgaj0Nu9MvK7cxeV8W8cQMAyLd7SRxzFQ90HYXW5mb5/rUkx0Pwxv6UOmy8t7eUhAQ5z11VhbyzbTl+pwdNpJFdVYVE9RmFdcMqtDY3q8sKGdBHxZ6bbgTAW1DD3qr98nOxOfH9WoSUIC9F1eXW41xRiqq8GIBgbh36rgP4z+C++Moa4NcqttcWEJjcC39+FbotJTg89pD6GZsaukc40KbxufnKQicCAHRD2hN0+/FsLsbudSr3PZuLCdM3tnvT2hKlDXyVZ6d+S01I3TtXlGLo0biktu7A7pB8cmIz5DKVyX0rMqdxu40mtzwk7ld5oWUqdTT2R29BDUOy5Gesr7Cj3lJMl+h4OW23n+932FFd1FUJv3FdTUhaks2nXAfq3HijTCFl6JbcpbEMxW50Q9qH1ElLIpStk+Ciiy5SrpcuXUp1dbXibmo9PikpiT59+hx3upvq1Dy6pBqjJRGAxDA1W9/fiyUqmzXBBlzlP1NZLw9GWwN+dNW/orfLDcK26WccW15AFy8P1jWrF/LBm3aKU3MAqI9V4aiVO0TlCnn5xWcIpyLKwr7ltbjrdgJgSmvP4IxEJWyDN4BGF0bg2x/RHuyM7eMiCc5/BYAdu7X4vXZ0nnq0eiu2TT8r5amw2anZ+DOWZY/TIU1W1pIiLLg+eVcJo47qjmPLCwBUrd0VUh+1m+Rpa6MlEZNVon7zSurmfaGUKcGqYt/ctViistnprSE+zMylH2wjOVweJJbnyR3NalCzt1jHqrkV+LoY8VYeoH7zSnZ95+Gc7CBOCbzV5cxYsAVjZEcKJFmR+/mlH7C6gtRu3IB5z2fYvWA0SuSvd7H/k32c0w7cFZXs2K3lX0t2MTgr6WB+eqbNk5Vkl11FmF6Dw+sjJVxWTDaW16MxWUkIs7DG72ZrRFtGpEXi8qnYudrNO7/4ye4oKyFmo55bvt5JUdtECvwNWPVa8iprSbQYAViWX4HGbCFMr6Fq7S4e+MbFOe3k+ivb5mDG8nxsmxufydD/zKBtvIoDKh8Wgw6b2yvXfZ6f2hIN2li5DLXbCpkwdyc9kmPk5xyo4/28BkZkyHXrt9eTNusdeiXIg+jigno0Joui2NXowjGlZGDR6ygvVPPomkIyzRocqgDFO4NMm1eotFWLQceK9CF0T1FR6XdCeme0FgPeg0qOOS0bU0oGGpMFe3410+bvpF+iVVa+8ot4dE0hvZJkOb2VB+gzbynZcfJsUdSAMXRVheGrkeWK6tU7pI3dfuM5FO9sVOof6J+Ap3CP4h5/x7nY927lVDCil4bcf7+luCP6DiF4Y398ZQ1IHj/RQ8dx3lPDyS10s6w89AfKs7kYv1NWKLUJ4Tyz/gCzR8ono9VuP3V6LYb+mfgr5DANkVHcf+dAgrl1zN1dhzlGVmr2VHj5eN9uJS2AwNo8pPE5invRplDl9IVtxaiNR9+R4hnfSbn+YF++IpchO55vdy3H0L/xhfDbXctDfoj31zcuSfrKGnjsfPnHUJ0YwasbFjCl2wUA+MvriR46kC8fmMIXhdV4PEFieo+ixz/6U2jzs6Sslqg0+WUot9CNZcsBBrcdoKR9oKGcygWfgseHVW8ipa2aoutvYFONXNb0c2MxZMezraaCubvr0JoN+CZ1Z1tNBSv2raZh+17UZTaiDQbSx2ZT9XbjUuk725YTdfdAAnVugm4/H29dBIC+qBZ/7gEMscmArIR8vHWRIpe63sVb23/hhkEJBOrcBGxOlu9fe8y6bqpcHIkhFzTWbUl9BYbseMXd4G1sU4eUJAB/vh1Nbjk3DEpofBa/FmEema6439tbGvIcDylyR1L4vAU1IXHdFR40ozsq7k01thClRylbmY1AnYsGX6MhcUOZnWtGN5ZJn1seIoc5vzYkDeOBRnl8vxYp15pII7r8esZfknFYvi2FULZOgjvuuENZv7Xb7QwZMoRHH32UKVOmMH/+fCXcjBkzhI0tgUAgEAj+5Ahl6yRISUnhgw8+wGCQ35R27NjBQw89xLx585QwV111FX/7299OKN1NvmpKXnsaTdspAIxIi6R2/3x08YOo9DtxO8owL5M38u701uCu20nt/vlE9BhMzWr5bamycwL6uDaUfP4Zji0vKDMkh2aWAH7dJP8f2Pcx+pggn9rrcDvKMFoSsSe2x1rW+Ga/s8qDOqo79RUbCEsZC8jLe36vncjk4XzjlWcM6nLflvP/6X9K3O92l1D+7VwAxnXSEac1kxkXhdshz/roo+Op7Cy/LQW89azPDX1jqz1YJmPKBaSe34fShctx1O4mu6MfjcnCiPRw6kqWQKr8dhvtq2fX/z2NxaADYH+5io+224g0qFkTbKAu921GdgJTWjvyP1+GY8sLXNE5glithKtwD8ue/5ySducC0DtJR32FbCNtw88eHLW7+Xa93F2WujzU7p/PiAwzOquFb7zlLPvEDQXb5XLZq/B++BSRycMByIkJ57X1RcrS364qPzGjJhFu0FDgq+e6ebUMbBNOUhs/n7gq0C34nCk95JkrZ+4mNjz1NMO6BXAGfbSPi+RfSwtJirAoz+enCnl2anGuGtM3LzO+fTimtPYsr5NY9okb26bVALjdam7MT2FEhhmLpCEzLoo3NsmzsntqtSSXHWDGgi0ArM/VUjfvC2o2/kx/dRjOoI9ZX/k4PydNTqtkH+f8PZehbdvIdV0tkTzlb3gq5eXETSVVpP/tCRxeH0tdHha9WUbtphVYJA3fOR24PnkXZ+94TPEWEsIsvPjYFsa3l5eq9lfVkTDmQgJO+e3YkppF+t+ewJLTgx27tZR9spbBWUno49qQv97Ft3OdZJrluq3ftZ2MB7eRqpKX2KN7DeLSmaPwHpzZMqW1C2ljWfe8yFJXoxmGmFe+wLZZnlEtcqlpuORO6jZv5lTQ9sL27N0RxJAdj90TpMykZ+FloxX/XE8tc8fdjCW3ikKbH3NGx5ClHX+YPJsXsDkxrS0hIVzuW+p6Fx9tW8yFk9sRqHOjNmp5dcMCruszAU1uOS6bn6i+HdHdNgDNAScbq7xKWiAv11gNjT8VxmV7QpZu7Gsr8F/dOGPozw89gNA+vnEpcM1ep7I8FUyM4NFNexl0aYbiP+OX3XSZ0FZx1+WG7oHt2+bgFg6nlze31uCqLgFAE2miqE0bMhpc7N7jICZcyxsbPmf2yMsI5taxpdJLzNA+RN09EEtuVYiMh2bPPBV1+OPDSA5PIHlsd/Y+/xQbq7xkWLWkTPsbf7mtN18U1OOu8BDetw9vjerBFwX1/FCYi9ZsgCi5T8affwU1uY3LWW/8XM4z/RuXqx5clY8hOx7frjIkt5/ttfLGcW9BDQ+uym+s9zIbn6ypJj1Mnj3WRJh5beeukLpeWLQ/pH6az+Q0nwUbktg4k7W6rJAuVzXOKC3fv1ZZLg7UuShwVGLIjke3pQRvQQ3RhsZtEkG3n6zwxrSLfygm2C9RcS8u2Iom0qi4q+tDD02MSGpc7tTXupTlYIDvd9hDZuD2VeWjSwzDWyDX6VeFZYqfJrdcWVYE8OyuoMu4tEb3mryQthpYmxdShvL6cvTp0WgizGjzqxmYkBQi57FmEU8UoWydJBdddBGbN29m+vTppKamotfriYqKYsSIEXz00UfMnTv3pG1y6Hsb6KiPpn+kHP+QQqLVW6krWYJvr7yUaIyUO8pSu45938hLcBajRPx5E/n84L6ogW3lH6FxnXRK+vuQ/Q4pPc6gT0nv6k/2UfnDp0p+81apUZ0bB4Dj4PpU9aqFABR1b5yGB/B77dRuK1TiPvKRn+Xv7wUgO8rMNR1M1P4snxwJj+9N4sXXcHEveR+F32dnqxQ65ewoyFfKn3jbs8zLbZwijxt1OWMODgz63gbitGbKvpwTEj8uXGL7y+9SXO+Xl6eAlHAtSRdN44NCeSp6TKcMOg4wUvnT/3DU7qZ3Lz8Tok0MT5f3ndhNahb75U4e9t0TWIwSBT75B6BXUgzW9p1lWbe8gOvg8lPNwfpxDu1P9uW96RJlZNV/1yjKVmKYmiGv/IrfKe+Tid+8h/pdm0g9X15ydtTu5oJseWnh0LO4onME6bpwrGV72PDU0ySEyQO73Qv3vCzX23pfJX6vney4CBJGXsZObw0UfYc9T1aAtrtg1/89zWXd2zEiJ4incA+//vtVquvU1BNE5avn55fk0ziLfeU4anfjqylnyFXyc09cPR//dllxs21ehbT2Scp/lE8tNrjgwi8qCR7cZwXQ+3lZcSvw1VOX+za+mnJG5ASVF4dLeqqJHTgEc8BN7f75DGwTzgid3Nb3974Unz00rahB41jsr6GuZAlmo5648y7jO6eDwL6PlTZZs6OKsO+eUJ4BwJzMi/FWHlDcz9/aqMC8vHIHZpWWuIMKwPmziylf9CUAvwRquPD1Cjb/0qiMtSZJF00nMgL+cltv3BUe3tm2nB5JXdBEGlEZtLy1/RfsRbsIGrRYDWoaIqP45MohgLwvamPxVjSjOxKoc+PZXMz+yoM/xE4vb+2uZGLbzvIPS6SJN34ux1NVgirKTE6akZghF/OfId3QV9iJNqr5dtfyENmaKj2+soaQPTiBtXn0TWn8YQ3UuUP2eO05+DIAoPIEqPI75b1DRi3Or/aQbmmMq15bRveoxh9i3ZaSEDlK6ivQp0cTrHehy6/HFJOMoX8m6sQIbluxFG+FvK2iut7Pg6vyaROWgLZC7h+m/qP4ctyFUOtAE2FmS8k2dIlh2D1BYrVmtGYDGf1isRgsJI65Cme1F7snSJ03yGd7VvDI8OnU5dYjGTTouw5gdHpfqopcLCu3E963D+bBSdR4PBQ4KonOiVaW6PTf7yA5vFEhMC3Nwzxe3julS4vm+U0/K0tfpl8r2F+5H0OPFAJ1Lky/5FPQINe9yqBl888VxDRRcuZtrgtZdvXnHgjZIxd0Nyo5+vRoGrxyW9ZEGvmioF6pa02kkYVF++l6nayYaBPCeWfbcgZd21lRcg4tqR5iS2Xjc/WsyQtRyJ9ZfwDfpO6NzzG/PqRN5Nsb42ptboZmNiqQll8KlDahNmp5ftPPdLul10E5TWz5sVRJy1tQE7LHC2B4YlSIu2lbbVofAMvyNvDUExcheXwE60OXKAF0HRJpKYTph99Bhw4dmDNnzm8HFAgEAoFA8KdFzGydgYzqpOGWGReQ95+HADivi8QIXQKBHrcBEFm1hxG6BGVm6Y4vGthQKz9K3TY3M5bny7MaQL9EK09O6cltAxs3qV4xuvG0kMUozyxFZU3EXrkOx9drlQ30fq+dqB9f4o7B8izKJT3VPH/raPLe/A8AfXMCyozAIVIvPV+Ja1n2uLLMuLbMTud/PU7B2y8BcKDjWP6bW8fDwzso4YfrrCFpxQ4eCYC+GAa/ukuZUXIsqWSTJo6COU8BcHlPHbeNTWH9i9+HxJ/Sw4jbUUa5XSJdJ7/dfLvDx7c7i5SZLoDYgUNY+bk8+zOlq4Xh8+eQ5ZDfqIMWiU6aSCJzrgXk2bIL9fLsy8bSahIvlm3eaPVWTGntuTMrmn2z31bqSzV9FsUfvywvdx7kqq7J1M55Gk+TU4LhHXqSPLlx2bmiwcmTU3qyaba8uX1cx1RuvqwthXOelcMb5FmyvkkGpLVPhpT7/a0lvLlenlHU6MKIGywvja73VQJQv2EZ3Z9/mcofPsF/cFPsuMEmilNzqK/YQGSTN9SYUZPIvOURxV366et01Eez/qODs3irFzFCl8DAthpKXnuawMHTiD2TY/F++JQST6u3En/eRJLGDlHuXZodT8p1D1Dxk7zPsX7XJiY+dhldoozc9XgpAaf8llm5ciHeD5/inXW5OIM+tHor3+/I56cKr/IcbZtXcqE+ge8PHiCqWfUjk0zxVK5cyKIXVisnG22bV7Fn3N8VGeo8QSYNsnJNB/mUUtyaX9j2Ux0d9dE4gz4SV89nuT90aaa1KLNXkj0ilge6jsKcX8sXBfX4XA14x3RC8viZt7kOc1oH6B6L3RNkWd4GeqV0RZcYhjoxgvn7tvPQlfLpZ02kkfWluwje2J9gvYvKg7NLrnMyADBvKsYfFoE3NYoe0UZWHdhGr+TOBA1aIvVqXt25P2TGpPkMU9NloaDbHzLLAaBKbFyGNOyqUWZ5jPEGluVtYPwlGajdfjy7KyhwuJXZGH/uAX6tbeyb3oKakOWoj/ftxnJ5R3xlDXijTCzbv5qUUSn486so/qGYqD4jiU01ybNeS/M40FAOTi8um5+nV80n4eAM06GZQn/fDIK5ddSu/xFTZiqP9e3NN7tXsrl0G3G9k0mL0LKl0sujm+T+pK+Q2/cbG77G76zHnF9LpF6NvusAnunfRTm4EDfuUgZdK896B+rcIctqnt0VjUtwZj1LF5fhyDk4Jnt8LCnYrCylSh4fBQ65HwTrXUjL94TUvSW3CmdO46xZoM4N2UeejUmd2pkvCuVtA5oIM1VFLqWuA3VuPllTrcwKqaLMzF5XxbjUxiW5H/Y7Q5bV/PmhhzTsnsaDJsbv94QsH6u3FOMc2rg8vGavs3EGrtZBeUOlkravsAabTy7joROHN3fs0FjGtXkEcho36y8pq1XalybSSI3n+GeiP9iXz5RuF+Ara0AdbuK9vaUhy47BcNMxYp8YQtkSCAQCgUAgaEWEsnUG0inGiG/8LXwyVza/0CFWy7SP/8UNV8mzGXWx7bnxpzeYNV7ehxW/eQ+dDyrgji0v8OXGRls1Vr0W/99e4MC8xqPIu294Ht+E+wDISpC4Myuarle1w++1Y69chyGu8a3U77VzvlHe85AapmPPuL/z/kZ583FWjIqH7puAY+gDSvi6MTeEuA/NKH36qYS28wA++Vl+G4pKDvDG+wHsi94HwBKVzcX/e0GZQQJwj7gK/ZUzkdY+iXlDo22futy3+WpPDatela1JZ0eZ6Tjrv7xbL8/ctI8NJ05rZlK4/NbWO0nHzZfJb1XORftYWybLoNVbeWddLqa09soMXK+kGD4qD7Lv5VkADOsW4NrHLmfSrfLGyYFtNYyZMQqAJ350UnOwfLYBd7DfkkyX++5Q9palhum49/tCtr2+AIDBGYmY1TqMi+UyH9qIzdC2vLPjAJaDNnPC43vzr6UH6PDga0qZHEX7aXf3c7z3ubyZtn73FiaZ4pneVz6SnxPTuC9h0ZtlrCuV3+6qB40m/W9P0BRfTTkrAlGULZL3Z/XNCdBx1itcc6E8y3nInIMlKpvpn/5KkSQ3rrIBE6ndVsj1N/ThE1fj8xh3Y3f+NVzeP+gq3Euc1oxu60HL3gc3rhs6XM/Lm4ux5vQAZHMe8WFmXl65g8IP3pOfhzUczdhrKJjzFIF9H1O2TZ6NKv54NgBFDT6lru/4ooHdB9/KK4fKbWbMjFHKjK7P7uDcWwdS8PZL2CvXUb9T3tO4cO5evtrTuP/o0ux4smc8hTVDNh3hi+mOM6Di6gny0XSdOZlTRaI1jsTLr8a2fgneeCvRRjVujYrHzm+PyiC/9W8p2cbU7Ej8+XY+2JdPeX0FnvGdkGqdzNtcx4XZA1EbtQQHt2dbTQWPnpuByqAjLl6P3etidM8IVAYdRFn4dtdyRgyMpc7r54dC2Vaep0M064rd7N7jCJkx8RbUhJgJCLqDoXuFms1yNCWwNg/vwZmIbnF6ttVUMDY1C3W9PI58v8OOv2+GHLbOzdrtoXs3NRGNs+c/7HdyZxc5X2O8gQ3l+czs3kme0al1sL22gDu7pKA+uDdnWd4GMOux/FLAGz+Xs68qH8x6MOuZt7mOyJxwtBUNuAsKiBlyMYPbDuCFbfL0aNz5l3NrxyxcNj/V9X62lGwjaNBiKLPz9E+F+MMi8EcY6R5l5uOtixjXYYRsVsJgYa/Gz8P9G/cGflFYjXpqz8PqxrO5GGn5HuIOzgJ5U6N4YVsxf2mbgergTM/GKi9Rdw9UzCg0Ne8gldnIbm8JmXFytzmypfOZ3TuRW+hGdVFXAjYnWqeP/fV+xcyCeVOjXSnfrjIsv8hjjT49Gn16NLr8+pDN+fqiWoI39lfcLps/ZC9VpL5RvfCVNZCTZlTSs+RWKSZBgvUuSuor6Hn/QEDeL1bn9SuHP1SeAFa9ST5UUNZA0O0naGgs75q9TlzDGs09/FrrDDEdUV3vD2m7TVlX7G40eWHWk7+2ihEDG1d+DrXRlkAoWwKBQCAQCAStiFC2BAKBQCAQCFoRoWydgeyodvP+1hJlQ/OuKj8/aJOZZpTdvUYEuWq5kysS5MfntaYwYs6jiuV5kC1hA+ypdfDc6gOKrSWAFx5cwluT5Y2QQzJ1nPfTcl4dmQGANa4vbW+bFSJPzc/yZ37WlXp4fLENp3TwUz1eWNNnMnNvkZcdjZZEJr5bzkNXNE7x3j1zPI6hDxBR8gt2j5cCvzwV7nCrCMtfpByzJ/UC7tmlUZbrAIa/VMJLF8vT0raIBF5+8KqQJcolPnn6d3FBPV+WNG6qLf36XR64cwy/3iUfKLhtYCc6PPUhvgn34a3dQmqYbPMr4dpbWZrvVmwwAZTaHKwr9bDtpzpZ/gFtqB44Wan7m3pnoJ94B74J91FbosFq0BOnNTP3lgiWFFSRMPIyZSP/0nw3+8tVyuEF494NzLwgk6Wz5mO0JCplnz+1Ld/muqnfLZtKGHvPGNblathW23gM2ZKaRZFkUpbJ7LmbOO/paRS/9TgAPZJjuCk+Bt+E+3AXf0dimJoL9QnMn5bA9zvymRYum++ITB5ORM9BrC2zs2eLvGx4fa8Iltp13NdNruv+kWruzIqm920T2FqoUsxMvH6Fldh+HUgcPx2Ql2FjR1xK4vjpbLtvKkZLIrUbN3DP1T3Z8pC8dFm9aiEX6hP4y/VWluf5CLjsxGnNdL5tGhUNTjaU+ijeGUSrtxKe3Y0V+WX8+NIqNG2nUFKnpaM+mo8WyTaRIg1ymf57vQV9sbzcOckUzwfTIonoMZC4UZMA+bBH7OCRRA0Yw7NLD2DNnIQt384kUzyLfeWMb9+45Bqzch7h2d2UT/aMm2qmU7ZfMenRdmo/hmhDj5K3FrY9G6nTazFm5HDN6BRmdu/ExuKtXNdnAt6cBCb3iGTdgd0MSJQ3Ldd5g+RW5R9cKpSXtxweB76LuxFoY2ZZuZ0wnRHXORlclx3H6rJCxqWm4euWTJdxafLm4LbZLC+RLdKXN1RyfVd5uUgVoUMyhBpkDh7c9O6/ui+AYgVcN6T9YRvopSYWyINuP74oI5rRHcmw6hW7URh0GPpnYsqvQ5thRW3UYuiRcpitKJUh9NB8g9eDLjEMjyfIphobVr0JtVGLa1gm6w7spm+bbFwZkQy6tjPbaipwdGuD5PGjr3Uxf/d6vKlRYNBhya2iV6wef3wYlo6dlU8FVdf7serN5HpqGddhCGqjmnv7tGFxwVbShiSidvsxHmhgY/FWegySl6cOfcJIbVSzLG8Diwu2khAejybSSGByL3IL3Tx9jmwjzJAdT503qJh7UBm1VNf7URu1aDOs1G+pYVtNBdqMWNSJEdg9QT4YNQJdYhjSqI7oa12NS2yJEWRYtUijGu1lNX9uqou6YsiOJyc2g5w0IxOGy78TgTZm7J4gUy8/aHvOrCfP7pBNa7j9BOtdbKupQBqfg5Qeg7aigVFZ8pKuLjEMnF42Tf8LaqNWXmasdSumIw61z6Yb14cmWDFkx6OKMuPPPaBsoPeVNZBbW86XE24BwDm0LXXeIJ9cOQRDdjzZ7S3YvS5SJuUoafnNjaaMLL8UKKZHAnVu1ux1KmXSDWmP5oAzxJ6YoX8mmkgjhux4+qYY+XbXcqU82vxqIvWN7S1YZiNwRaMtu9+DULYEAoFAIBAIWpFWs7P1yCOP/Hag4+Chhx5qkXQEAoFAIBAITgetpmzNmjULlUr12wF/gz+TshWrNVGXPJyV+wKM66TjpvgYZoVns69CIjHMTfbn/wYsXNE5gju+aKDyB/mj1/reBlab4hlx33QWPfIKF/SS6PPAUqIu/5ydVR4sepW8LPKD/DkZd91O+uiHAXBhdhveXL+X4Wvkj0NbLurHikAEHf4+g13/9zQNF9xP9CAf/Gc7+yrkZadbhsSy+lfYVyFR0eBgdoZ8ksmYcgGmzXu4/v6LeR6IzLkW/cRz+Gm8j/Nnn0O0r56/dQrn9vpEfEBDxmgs6YWwupLIcw0sWKbh1UdTmI283GVZPZ+eV10MQM7AIAXnTOOn8RYmrLYyIj2cGp2VTZZEyu0SDd4AHfXRVF8zA3vu2ySOn879//6GyHOupeKrt9nTaTQb78qhF5cxqWsm50zMocOVmby8uZiSl2Qr6B3+PoMyh5sRGWbSu6mwmO+kg9HPlyVOGh5+AK2+ExG2Ayy169h7fydu+mo7nvU/8I+JOURs+AJ6X4qjaD8d9dH8OvQByur8nNMOekcFmdf7Puo3f0Xs4JF88s1/6HzbNOzv3sq08DhsL97JlItnsu/luxihS2CyfS32c/vQJSVeKZNfpcGi15GuC6c6ayLeyp0kXnwNKyddTnj8BNzV5fT657UsGJDCxcXXcFXXZNS3n4vm+zewjL8FWx8TLIbRdw6gSDLRL9FKeNsA4YHejEmP5vuCGvY+dzeWbndi2/QzXe67g75pAd6KNeBZ/wMP9E8geevXaHqciz4mgXRdOEkz/0ZUzwycxft47bN9dH5iBq53byV2YCYv7F9J8gP/wZ47j+E3dCdKyiMspx22Bau4ZUgsHfubWe/2MizDSEpHNd0n3kq9J0Cixcj73nJuviWChp9hQi8dj68pxzF0Nhdmt8EzIYmIrV+TM3AIffQu2lzbA9OGLyA6QflU0LX3diYiPBNPZSnOoI9zp8bDs9C+mwrWwDCrj9cO9rn5//yMq5KzWL1Rdt+V7KOwSxquEvmzHm8Oj+OHJD+EfjWmVTCnZrOtcj/npnXh4bQO6ExhfLtrMZ6qEiYMTyTTKi/n5sRmkNV9BzO7d8KqN3FDhxE8OCyfoDuI3etkUv8YvsqTl9j7JHVgUv9SwvQG8uwO2lij6NU3mu5RZt7cWsPd3U10i9MzPDEKm7uBW3ufz+x1c5kzqge3LN+Ce3IvzJuKCda7oHss/oxIXhrTiVd37mdogpUP+mcy6IIUVvy3Gs3ojkjL96DplwkF1fLpscIadB0SuaxHJN2is0iyRNIrWV6iNQ/eRla4lo3raugVp2fjqI6Yc8Kp31IjW8JftBND/0y88VZ0iRGoy2wMyjKTZInAelU3/Ln1RHYIJzk8gYi/9adXrLwslRAWx+Qekbw4+no++fU7Fv2lD2M83zKpfwy/1jrp1TeadcVmJJuP6zt2Z0hiPOGdzqHimw/RDh1H+3g9JfXl2L0ucgxRXN4hnCu6jODVDQt4efAwHtTL1vXtXhezR17G7sr92L0u7EW7mDduAD8U5jIqLQdjQEI9tSejk418v8NOn6QOBG/sz6CDS3GP3X8x05/4kpRR8unKyPsH0j3KzGybn/SwcLpMkJfTekQbyTFE4R7ann6dw1i7vYEXx3fldoOGy3pEUuf1M+uyTswCsrpHUmjz47q6L6ZFu/D3zWD21eeSHB5PVlwWKyb/jb1V+/kmZy/h4Vp6xep5ZPh03h2dz6AR8vLiVXf354OXN+Aalkm0wcB/hnTj4+TdLF5ZxfUdu/PDjU4wqHF5gkR6/fiv7s2lHcL5dFc9j/YfwriLatBmWMmwahl6W2/mfroXa794RqXl0OXheO5ctgtDuImhCVbyjFo0kSZqPB7qd61DM7ojbdOMROrVdPdpufDm7lzX+RwAvru0H53WVpHRL5YMq5afc1PwbC6GKAvj0xJZe6itGtVM7zKENyaX8+/xXblz2S7u7t6TaelbsVzekeuy4/jHgKcYPO8V7u4unxDtdksvNq6rwW/WEaHTorqoK/qiWqRaJ8+c14Ebn/v9/bvVLchLknTScVtCWRMIBAKBQCA4nbS6spWVlUVqauoJxSkqKmL//v2/HVAgEAgEAoHgDKfVla1bbrmFf/zjHycU5/nnn+eee+5pJYnOXGb84yLmZMlG4nolhNPp3/cxtCFV+cCnMT4O/ZW3kx0XwTnZNixteuAYegl39Zcf4yOdTfx67a08PLwDK/cWc8c/u9HgDdA+ykJKm9twbC8ivtZBRZQFjdlC1DUzaB8bzrJ8+SSNpdud/H1gBAccHj69NJNuK+/j+YlGSM8m6poZdE9RYTWo6XPrd/Sev41hGUa+zXXjLtmPJSoby/A4Sjcm4K4uJzJ5OJNuTaKiwUnMynk8fuH5NOzaROd/Pc54Wwx2TxDrADVR+tEkR6bw94ER/B82nMX7AFCN7od+2T5chXvwTbiP63uFsbiwjr/pf6XdrbdyXryeklsHUtXzKrKjzPRMjqX36FieubULu59DWUL65z/b4V29hoHtUtjzyPUs+Ouz2Be9j7V9Zzbfdjm3vfwpH22RuCk+hrFXdafCZicp3ET+6FF8NbETNcs+odeAS/m1UM2EF27HtnkFg0dfxabbJvDq03PZfNs9hHfsQMnnn9H/vMso+/ITJvTUccN9SWwsraZXUgz2fjH8+Hgmthfz0B/8Qv3r/c1sfBeMxiCfzN3NbeNKePd7G+2j/Pw0410e+X4wFV+9zYSeOp65tQs1G5ZhBK7qZeLyx/sRWLgeb3U5tVUapvz3fLzV5VhzesLqL3j45iFE5q4imNODdQ+8xMiLr8Gfkcq0cBcXdotGGxtFqspFXr8OTDnvfKpXLWTcyMv4ZnEhz3+YhGvZD1hyerB86m3cOH8OO2e9hDUziaWz5nPurQOxmX7mql4muvY0Ub1qIfbczRT46vmgW5B1TklZgvvx+i5su+9p9DFxbHnoCa765FO25RdhyUhl56y/0f+ZOQxs04Y9ndvx5vA4vAXbGZjSlv+odUxQl/GpCrQWA2a1jv9ebyEydxXlwNJZ83l3002UvCyPEWse/5TOE7PRR8vLrmP2L6KyyYennx6SwbJnweeQT9HWrJY/Uh2nNbPYV86Al59lsa8cs1rHosvvICo2QOkBuU9tvvVK6qpPzTkijclKsjoBjTmMA5/NxtK5J+d3HEH9rnW8POp6Npduw+ZuICsui5ndOzGuwwgONJRTveEHHj03QzkR98TQKQxMkJe60i1xvDj6eu5Y9CaZVgsH7LX83+CxrC/dxagsN8nhCTzafwhtYzNYvn8tsVozMwclMyIuhzu6ltM7IYMN5+WTZ3eQabXQOyGD7LgswvRGksPj6XJ7PGF6Iz+McXJ912gKRiTSMzqCp38qpF/nMIYnRpFkiWBKtwuoy12HJa0DjsJdGGKT+HHCZABejVpAelg4d3fvid3r4rXwXWRY9eQPiufu7j15c+evjEtN49Wd+7mr5yDaxmYwqfsFTPvmNcamZpFuiWPr9NtZsHMxObEZxGrN/HvQZKqWf8GUwZdS8vlsPrlyCP0i0vjv7uWMb9+f3Kp8eiV3RrN5FWnbc6koqOLn13MZBHxyweXsrtzP+R1HULv+B14edT1BFUzM7kPqgQN8OO5qtA02SiQPvi8/oktHeVm0Zv1C2pnNZI+6GFNpIbXrf2Tv1OtYdWAb41JraRebRd6VkzHFJMufA/plFff/tR/X9ZnAgp2LGagKw5LWgeldKrEYLFyV4UdrDsdRuAvb+iVsvmM6G0u2c3NHGKgKo+Keu2nw2lm+fy3jOoxgStfRqMqLuW/Xz1zX+RzWjcjiht4TyHvtSXYvrqJ4fCrFy4vJuWkMT94+hG01FUzvMoT6XetYct/VpFviWHVgG+e26UKBw81dPQdhczfQLyKNgaowXEPSMJUWsmv0YDSZHbEYrFQt/4K9l1yAITaZiW23kbh1M3vvkj9httZWSG9dFF1uimdS9wsIOBuoWPARCy9rNPbKszB3dx3pYeEYYpN47YYhlDrqyI5qQ+2iH5nVtw9mg3wauGHND7x/6xj6RaRRInn4KjqCF7em8pfsSG7oPYELs8t5dcMCRqXlkOjyUv7PGRS+/wKbpv8F/e4t7P/2vxz4bDaa+gDzxtzF4v/NQmcKoy53HXM79SW/v4keSV3YXLqNidl9KKmv4LWduxjuaxk1SZxGFAgEAoFAIGhFWm1m6//+7/8AGDJkyG+EPJwRI0Yo8QUCgUAgEAjOZlpN2brjjjtOOm7Pnj3p2fPw70gJBAKBQCAQnG2IZUSBQCAQCASCVkQl/R7bDCdIdXU1b731FuvWraO2tpZgMHi4QCoVP/3006kS6Yygvr6eiIgICvbkUu6RsOh1JIWb8Ks0VNhkezkr8ssY5S9ha0RbBrYJZ1utmw5GP9rYJHDUozVbyH/7KVKue4Dan78lbuBYKlcuJKrnYPwuOY0aXTh7Kuuwe/2M65jKnqp6Emry2W9Jpn3Qxje1Ks7PSaO8wYFx8fvs730p/SPVaE1WKvyNernD6yMhzEK4QcO8LXmcb2zgrSoDk7ukMW9bITem6ljvNdEzUIk5pycFr9xP+jUzqV61EFNaezyVpZjTstGYLdg2/UzMuWNxFu+jPDqDyNxVvK/K5Lre7fjXkl083jeWnyq8jOmUwfc78ulXs524gWMp+uQ/aEyy3SFddAJBl4Oa1YvQmCwEXA40Jgtr3t7M6JdupfKn/2FKyeDHl1Yx8vZzqd24AWN8DCs/L2XMjFFUrVxOeMcORA0YjcZkBcBdsg9v5QGqVi4n/drb2fLQE3S57w6KPnqL9GtvZ+ENz9DnivZsn7+bDhekYM8rJe0vV2PbvArb9r3EDT4Xa04PAPLe/A/RfbpTtGA9ljgd328MMm6wiZ2r3Zh0EttdMG6wiW9XuOgdFWR5ncSkQVb8Dg9ai4GoXr0JuBzoo+Op3bSW2MEjcRXuxZrTncIP3iP73n9R/u1cInqcS+n/5pF6xXVKmfM/X0a3R+4HoHb1Iqw53QHwVh6gdtNa2t42i30vzyJ28EjWPP4pfe4YQ+2mtVjSM3hp9i9MHxzJhp89dMr28/VuiStGx2KMj8O2fS/WzCTcFdW4Khw8s62aB/on8OsmSI7083mNi9vGprBveS0JaUHW52oZd2N3HAX5eCptfL8xyPgxURjj4yhduhNLnA5DXASW9Ay+nf0rA3qhpLWnVsvk56+m9H/zcFU4mLPLxUP3TWDfB/JnpL4vhq4aLVFhARbW+ojDQJZWRVIbPy/sr+GZawey/P29Slrj7ziX0oXL+Xq3xE5vDXFaM5X+xs89xWnNOII+nEEfAElaK580FGKz2QgPb/zUT0v3/7LdWwkPC6PAUYl1w6qQMLXrdhLeKR1L555ozWEAWFM74KouwbZ+CYljruJAQzkJ4Qkc+Gw2EX2HYN+xnoDDibeimsDEyWTFZbGlZBtJ+/YQ1qkfAWcDnooiDPGp+J0NaDI7om2woTWHU7HgI6KHjqNm2bcY0zMJOO1E9RlJ7fof0cenELDXobFGUrvkR8L79iG80zlozGFULHwfXWwCRW3a0C25Cwc+m62UoWDhblKGyDalNGYz3opqanJrSB7bHWNGDrVLfsTSuQPxgy8FoHrDDwScduIHX0pd7jrCO/SlavkXBJ0Odn2wiR4PTAHAsX0TBQt3kz42G2d+KX6nj8ItbtxuyOqio6HKT1isloYqPzk3jcGxczueijp2LG3AaIR5G+1M7mVV/k9qpyNuaBd2fbAJvVFFQ51E9+t6ojZbKF+wRilPwvn9WfLYz0TKXzGizgZOF4y+M4dtH+eS1E7H/m0+srrIn5YxxhqZN6eerpkqek5KZdMnRWR10WFNkxNY+mEVOR1UeN0S6efGsvYL+TNVThckHfwSW/aIWApWVWGrg5o6GPf4IHyVlZSt2MOa1UFMerj0jSnULvmR3YurWLdTYr/LwU5PAVOTO1NsCzC6r4aYFB0J5/enfMEatGYNtYUe4jpYMWckUb+jgPBO6RjTM/FVlVO5bBvrf/YRHSnnuacywBWXyp/HKd3rY95GO2PayuPmnlKJbc5arukdTVI7HaV7fWSdE0Z9kQO9ScOihT6GDVXjcUikj80m4HQSd/7leKpK8VYU49i+C318DN6KatZ+UUVxJUy4MRZ3lfwb5ncGqC72kdwjDHNGEpbOPXFs30TN+v00VPlp0ysGe6GN6mIfO3ZDsS1A9zQN1TbYWePBcbBP7/QUMNzagWtuiOTn/8mfkIuOhL3Fcn72QhteVwBzjJ4lC+q5Y/uHv7v/t/ppxENs376d4cOHU11dfdQwkiQJ21oCgUAgEAj+UJwyZevuu++mqqoKlUr1uwydCgQCgUAgEJxNnDJla+XKlYqi1bdvX7Kzs9FqT1n2AoFAIBAIBKeFU7ZnKzo6GpvNxrRp03j77bdPRZZnDYf2bCz+ZT1dM1PxFO7BkprF5pJqeiTH4CjaT6kplsy4KLRSgJqNPxPdaxD1ngC2L18HUPYqBez1BFwOTGntcBXuRWOyED3oAjQmK/bcTQRcdnTRCYR16IkxJoH63VtYEYgiOdxMlygjfpcdrclK7aYVmNOyqVm9EH10AtacnhhiEgDIcwbIjIvCX1WKMUY2YhpwOqj84RPiRk3CWbgbd8l+bJtWk3DhX5RyHtpHVrX4CxwHjVsGnE40ZjO27XtJnnAZrsK96KPjse/ZTtx5l6CLTkBrDUdjsmKISUBrtlD+42fYczejj2tD1Yof8VTa0FoMWDJScVdUEnC60ZiNWNIzCLgc2LbvpXhnEJdPRUbbALYKiIgHnUVL8oTLaHPhNKpXLSTm3LFU/DQfjcmKt6Yc26bVbPqyhI4DjNjy5T0DW4p0DOgFjkoferO85J0wtDemtHZY2nXDsXcLJZ9/RlWeH7dbTUpHNcU7gxiNQUrqtCRH+onN1OJz+Fmfq6Vbqo/oTrFKGYzxMdjzSvE5/OgsWqyZSUT0HIC38gD6uDa4CvcCoI+OR2MNJ2CvR2MN59fn55ExIk2pa3teKYa4CFKm3EhUz8Fsq3WTVr4TgPJv5wJQtXYXsf06sP6jPXQcYGTnajdJbfy47CpMVoktRTpSTUG2u6CzSTbAmtwvRtlnFZFhxVXhAGB9rpZUU5Bqt7y3L8Yol/nzGhddVWHEaiUy2gaI6pLGru+K2e6S5QxHzT5ctMXU2B8IEn7w7E77KNkQaWymlvc3uuiqMlEmBRmUGmBLkY4DKnkPhlPyY1ZpKfA3KHut0nXhdFWZiDEGWesO0BYdnbL9pF56PhprOPlz57E+V8tWqSFkz1Zz/JLEL+7aVt+zVV2Yh9pWSplJT6LLi23dcpz5pRjiI9m/qAiPGwxGSO4RhrvKTdzQLrjyipR09PExBJxOKjeUAFBVEsRgBFsd9JmeQ/2OAuLPH8bWFxcSkyLvpzEYISxGTVzvZKBxL5W7yo6z2sveHY37att1UtNQHSQmRd4HZbCoWLosSLsUeS9Pn0E6Fi30YdJDp2w53c8W+kiJ0NA2DfYVQts0iE2W0/G44ZV1pWToYuiVaOD7khrGJEeTlAhJ7XSsWCynFR0JcYnyXiaQy/PlDjudw610aSfvlZq9az+dDHIZ8n3VVPlrATCrTfQ3p7PEvouOhnQsah0dow0sr6yh0l9Hui6eAl8Fw8MzcfqDNAT8dIw2YNLDilI7FrWOHZ4SLojJAsDlk/ckxWksdIw2KPuAEnUmynwuCnwV3Nghi5/zPGRYDSytLVVkidVGKdd9TO0AlLQPhYvVygY8M3QxrHftVcpgVhtxBt0AOIMu5ZkMt3Zgq7tcSRcgXd8GgAJvo2HfQ/nHacJxSl4A+kZEk2+X5dxebyfLZGG/y4FFrSNMoyUlQsP6KrkO1rv2YlablLxjtVFk6GLY4SkJked4MatNxGkjAcjSR5ASocGkl/eDNQT8Ic9xYlxnTPJnL5XnZlYbidPIfdGi1il7sQCckhdH0B1SJ0ej6TM5GgEpwCb7xt/d/0/ZacTzzjsPgKioqFOVpUAgEAgEAsFp55QpW8899xxRUVHMnj2bTz/99IgnEQUCgUAgEAj+aJyyTVPp6em88847jB8/nilTpqDT6YiPjz9s35ZKpWLfvn2nSiyBQCAQCASCVuWUKVvr1q1j8uTJyiZ5r9dLcXGx4n/ovjD9IBAIBAKB4I/EKVtGnDFjBi7X0TfSCXMQAoFAIBAI/oicspmttWvXolKp0Gg0TJw4kYyMDAwGw6nK/qwi4LLjV2mwGHT4VRoCLjvtU7Ood8unSHw15biryymXTEQmZ+HI3UzAXo8prT2Vm1YD4K2pIHbEpdRvXok5pS2e6nICLjul/5tHeMcOaExWanThJGV3g51FlNQ7aR+04aksBeSTg6Vfv4u38gCuwr2y5fdqlBOJ24oryIqNJVC0HwDb5hXs++A77Hu2Y23fGfue7eQvLkRj/oK06TPQmC1sLqmmfVo20QNGs33+K7hW7yEqLEBEPMzL9THZMQ+A8kI13zkddP3sP4y7sTvWnO7oohOw524iZtQkAi67cvJSZ7Ww7ac6TDoXGRQR1as39bu2o7NalBOZPocfUNO+mwq5ycunXRJHjyKixyC+L6hhzLljyXMGSMjpiatwD67CvUSfOxLTd+9Qts1BbKYOn8NPPUG+3whjeunQWgyEd+xARI+BRPQcRI0uHAtgzVwNlPJ/62qwbNBhVmkZhoE1wQYucFuwZiYBkFpYjCVOR3iHzgTSHVhzumNMbgvIFuwBNCYr1pyeBFx2XIV7ALC064bWGq48KwCTVcJdUU14xw54qysp3hkkwVFN1KBxrNxbzOLCOu46dwB2j5foAeUUffQW5YVqrBmVVPlVbPjZA6jQm1WUHtCwp1ZFnxw/XqcERRq5vrpYsKRnKHlaMlLRmCsBGGCxYYiLIiG/GluFfHpQazER+7PEAXx0awMgz1objUF6G+H1ikYDx131JvbhY6e3ho76aLI0KqVcLruK1RuhwFdPAfX00cXxRZGfAl8NAH10caCCAn8DFrWOOI1JDuurp7/JyHYXVEluCoINdCJc/sKANZzYfh0YllFJtx0+vijSUhlwMUIbzTfe8pPptr+bBp+D5NQOJFeXEMCLLi6OMIuZgMOpnB601YHnlwbcbvC6fqWhOojeqKKyTAKqqKkDswmqbXKaxbYAKREaal7IBSB67ULW7AkQs032l095BWlbUsS+QkiOb5Tnyx12KgP1VPlrMatNdMpLJsGgx7nOTYxJA0jk2z1U79GyxlnAxrJk8n3VOINuPjsAZrVRPullh+G2DrSP07Bsa4D2ZfKpM4Aqfy1V/lrW58l5zs47AHnA6tC6OXQSrqMhXZFpZyWss7VRTt0dOr3XFGfQxRL7LkC2Gg6wvqTRf6engI6GdJz+IO3jNHxeVA41MSQY9CTqTOz32nAGXXxXvT/k1F3BwXQ6GtIp8FVgUScrp/ze3y33y/WVoafcmp56ayrr/Mrth4VpGtYZdB31xN+hsjWl+SnEpmlb1EbFv6DyUL0dqotmEeyhzqYyHHpuJ4sz6KLA62qU1370sE3rp2n835P/IVoijePllClb4eHhuFwubr/9dp577rlTla1AIBAIBALBaeWULSNOnDgRSZKw24+hwgoEAoFAIBD8wThlytZjjz1G7969eeutt3jqqacoLCwkEAicquwFAoFAIBAITgunTNmKiopi48aNBAIBHnjgATIzM9Hr9Wg0mpA/8QkfgUAgEAgEfyROmWZzyKzDIdMO4vShQCAQCASCPwOndBpJKFjHxqKXH4fGZAWgfWw4SAE0Jiv1u7dgTmmLU2NEbbIQcDrITEsC82B8NeV4Kw+gNlkwpWTgralAY7JgTssGQGu2UL+rFGNyW/wOD/roeAIuee9cvSfA4Cz5dBwV8mmdQ6cdZVksuIrz8VSWKnIlcfBUYsBNbeFuRX6XXUX52gI0ZjM+u4PaBg2O/CKchbuJ6jmYLKsR+4qlqE0WMvqYWLHCQxTyNwoLfNXs2C2fdHRKUOl3shgn7T/dQPblEHA5cOQX4SrcI18X5FO+bAM6i1xn1W41rtVuupjlkyvuimo0ub+iMVkOhpG/WKC1GDh0GtFbUwHAmE4Z1P78LakdemIr3IM9dzOOgnysOd1pOySKmh1VGOIiiOgcxwh2sThXjc/hJ6JzOzQmC/bczQBE9xyEraYcn90hnzhcV0Ol30mc1kxUrBZzkZao2AD2vFKsmUkkpAXxOYK4ivPRx8QRcDmUU4iH8NaUY8/dhC46AW9NOa7CvUT0GITfXq88d31cG+U7hRpzPjqrhWq3GmNFkPoNy+jZeQDt4yKhYDvRMQk0mCz4HY1Hj8wqWOyvoZMmkt7xFtjnpv5gfUVkWEks9uDySdjy7Vgy5G9Nlh7QYtm+92B9crA+4g6mWI2j0kd0XARdNW62BuTvLVritNjzStlTq8XczJxemRTEefC5VAXdmIwWAEoPaNnvl6ikyUkwyRHyLcNKPLSVTOwM+nAGffTRxVGp1uEM+tjvl3CoAjgCst/6XC0DLKswxEVQs6MKl11FRLyKOAw41X6OhFl9aobJyvpKwsPCcO1Yi8ZsJeh0oItNIODIwxhr5GAvpXSv/B24hmr5GVWWSWzNkzDpVLh8Eia7/H9yVGMll9TK/hvLPAe/I2ciJUKDy3swzTL55GLxwVOMKREa5fQeyKe/1rv2cugxmJ3ytyzNaiP4mvg3oenptf1eG+2JpsznoqFMR2XAQaW/7rjr5lBaTWWCo5+8OxESdSbMWjVmE1jURta79pIeaEOcRm6Dsdoo5buEzTkkjyPoI0sfQZzGwnrXXuUbh2caJ1LngpbllClbc+bMOVVZCQQCgUAgEJwxnDJla9q0aacqK4FAIBAIBIIzhlO2QV4gEAgEAoHgz0irzWxde+21AEyZMoXRo0efUNzvv/+eefPmoVKpeOutt1pDPIFAIBAIBIJTQqspW++88w4qlYouXbqcsLK1bds2Jb5QtgQCgUAgEJzNiGVEgUAgEAgEglak1TfI33PPPdxzzz2tnY1AIBAIBALBGUmrK1snY1vrkOHTE6GkpIQvv/ySpUuXsmPHDsrKyqivrycqKorevXtzww03cOmllx4WLxAI8OabbzJ37ly2b9+O2+0mJSWFCy64gJkzZ9KmTZsj5rd7926efvppfvrpJw4cOEBYWBg9e/bkhhtuYNKkSScsP4BFr8fp9mKOke1N+Z0OQLZpVb+rFE91Oea09mgO2s/yV5WiNVnRRScoaYT3GIivppyAy4HGbCGsQ0/8TgcBlx1DXBKJo0cR3mOQnK5BD4A54MbvstP040ne6nJ00QkH0zHjLtmPPjqBgMuOr+aQDS4r9tzNBFyynBHx4HWCI78IgKQ2st0iR+5mNCYrAZddsUlljI+hW2oBljgdhrgIpoUHgSAunwoC8vM3q3XUNmioWf8rVXl+3G41rooFmOItuCoc7NitxayR25dZI1HlV1GzowpLnI6qPD8RFbuwZsTgc/gxGsHnCOJzyOlQEUS3/lf00d9h2/wzrsK91G9eibemgqq1u7BVAHyp1Ic9vxqd1YIp3kLWPjdep5yvt6YCd0Ul3poKXIV7sO/ZLoe12LjQEMUav5u2mLDEwbAqDREZJlwVDnx2h1IOe14p2opqHAX5Sn7G+DgCTic+uwOd1YI+Jg5HQT6eShsa06cEXA681ZW4K6oxxsfgd3iwVYCtopqI+GrMGg1ut5r9rz5BwpgLCdjrKTtoVyzgclCV58fl01CzowqzRkucZMKhCmDLt+MM6HCo/OTv05KBgxijmiKXGg7a1qrK81Pl12LaGSQq1o7LrqKkTkvv+CL8Dg9ep8TeYh3J9mpAA0BJnRby/NQ2aKhHYp/kIU5rVuxlVdJo98sR9FHtVmPWSDgDKio5so2jQ1QGXIeyAWBHoA7LQTtbOwJ1pGvDFL+tUgPmTWGAjX2AU/IRV2tgva8SgG9w0hxn8Mj2t1oas0G266SPT0FrbpRZFxeHtqKaiE6RGNPTia6spGb9foyxRvxOH/pCD9EVEBMBoMLpkv/PzIDoSA0RkVBeLvcpk96ASW8gOhLiElUYLCqqSoIYjGA2aai2QY1DIiYCzAdMIbaymnLo/tH8mxKrjcKs0lNjB4taB8j2npxBF2b10fNoaY6Ul1kt29g6ZJMsTmOhANl+l9mQDoAz6D6ijGa1iThtJABZJgsmnQpccnm7GhNYYq9t1fKcDKeqrluCWG0UFrWxRWypnQm0qrJ1skZMTybe3Llzue+++w67X1FRwYIFC1iwYAE33XQTr732muLndru5+OKLWbRoUUicvXv38tJLL/H+++/z/fff06dPnxD/7777jssuuwy3u/FHoLq6mh9//JEff/yR7777jjlz5pyU0igQCAQCgeCPRaspW0uWLGmtpI/JoVmptLQ0cnNz+eijj/D75TfT119/nYkTJzJy5EgA/vnPfyqKlkaj4dprr6VNmza88847FBYWUlNTw+WXX862bduwWOS3zpKSEq688kpF0erUqRNTpkxhx44dfPzxxwC8++679O3bl1tvvfVUF18gEAgEAsEZRqspW0OHDm2tpI9Ieno6H374IZMmTUKjaVxTGD16NFOnTlXcCxYsYOTIkdTW1vLqq68q92fMmMHjjz8OwJVXXknHjh2RJIn8/Hzmzp3LzTffDMBLL72EzSZ/0yIsLIwVK1YQHR0NgFqt5sMPPwTgySef5Oabbw6RRSAQCAQCwZ+PP8xpxCuuuIIrrrjiMOXmkksuCXF7vfLHwBYtWhSyDHjZZZcp1zk5OXTp0kVxf/XVV0e8HjZsmKJoNU+jpKSEDRs2nGRpBAKBQCAQ/FH4wyhbRyM3NzfE3bdvXwC2bNkScj8rK+uo7kNhPR5PSHrHinOkPA7h8Xior68P+RMIBH8ORP8XCP58/KGVLYfDwS233KK4s7OzlZOC1dXVIWHDw8ND3GFhjaeBqqqqAKitrQ3ZvH+sOE3jNefJJ58kIiJC+UtNTT3eIgkEgrMc0f8Fgj8ff1hlq7KykpEjR7J27VoAEhIS+PrrrzEajcDhJx6P5T50qvBE4jSN15z77rsPm82m/BUVFR1vsQQCwVmO6P8CwZ+PVrezdTrYs2cP559/Pvv27QMgNTWVRYsWkZ2drYSJiYkJidPQ0EBkZKTibjq1f2hfVnR0NCqVSlGqGhoaQtJovhzQdD9XUwwGAwaD4QRLJRAI/giI/i8Q/Pn4wylbK1eu5OKLL1aWCXv06ME333xDcnJySLhu3bqFuPft20fv3r1D3M3DGgwGsrOzlX1bTcMcyd08j9/CbNQTbtAAFvyA1mxp9EtvjzEmAT9gSc1SDJ5qzRbMadkE4pIA0Mck4K2WjY5qTVawhKOVAoR16AlA3KhJGA4aTc1rkNOw6HXExyahBcXvUFqGuCSMyVloTNZGQaMheNCQqSmtHd7KA2is4SQMRTFwqjFZCO8I+uh4TGntATmOxiSXyZSSQZLZrLg7T5SNeNrzStFaDLTLlxVVS5wKQ1wEscgnQLUWE8b4GIzxMXS3lAKyf8DpxpZvxxKnw5qZhNYiP3+d1YI1A3QWG1qL/AOXYvGgtZjQmI1orPJSsD46Hm9NBRqTBZ1FS0R8oyFLS5xsiNFnd2CMjyGjbSE6i07x11ktBJxOvDUVshFSixatxUD7bh6i8nRExPsxxMXQNg4s6RlozPkY4+PQmCxozPkEnG40ZqOSXsDpVgyaytfyQQ5PpQ2fw0/9ru2AbGjV65RwVTjwOiXcbo1sFJYAJp2E0RikbJsDv+MzWX6HH69TQm9WUdugocqvggNanAEVcRhAgr3FapwSWJD9TYXqg2kiu3cGqXbLw0a1Ww1V4PKpcEpgy7ejNx80SHvQ2KxJJ9E2oFPcAIkqNUgGUBlwqH1yeJWcZpzWTKzaiFkjERUWIAooqzXgUAUwq3XEaUxyWC2KQdRD8c0HDZk6gz7FeKYz6KMqKNefWa2j0u9kq07Oyyn5qfQ7cWrNnAlYDGYsBiue2CRMMclYUzvgczWgM4VRF7+OyJy+BA9OlkcPLUFrDsdTVUJ8RRFt1q1HHy+/QHor5LZv6dwBX2UlGouZ9g4nAaeTgN2FxmpCHxeLLjYBjTWS1IpiADo4HQQcTpz5pRjiI2m3QU1DdZDycoiMgNIyMJvk/J1NbGMeuldcCfl2D2EaLQ0BP2EauZ77t9dgNILBCF3cBtxu6FWXhcsrG2Ktlrs2Jj3U2OXrdbYaKv11pOviKfBVKHldEJOFyycRbVFR4zjUxuRKOXQ/OR5q6kLlK66EaGtj+i6fRHKUSjHuGpVmQGvWkbAZMrZ1BiAlTg5bbYvG5W1Mv9gWIMakwaSXZXZ55f/NJkhBQ0xlEilxEFPZmXy7hwSDXpHRpD+Yv1eWZ0+lbEq6IeAn4aCRaac/iFmrxqRTUe0K0BCQx6J8n/xc4zThWNQ6KgMOHMHGQ15V/mMbUY3VRsnpH8VI69E4luHZdH0bRYYMXQwJBj1OfzDk+e/32ojTNP6WOYI+5brAV4Ez6KKjIR2n5FWeeZbJojyfkopo1lfZcUpeHEE3cZpwJR5AR0O6Uh+V/jritJHEaSxUBhxN8nSHlNusNmFWy2NuU8OprWlk9w+1jPjpp58ycuRIRdG64IILWLFixWGKFsgmIZq+Xc6fP1+53r59Ozt27FDc48ePV64vuugi5Xrp0qUhe78++eQT5TopKekwY6gCgUAgEAj+fPxhZrY+/fRTJk+erCzxxcfHM2TIkBCL8SAvKU6ePJno6Gj++te/8sILLwDw7LPPUlNTQ2JiIm+//bYSPi0tLcRO1x133MHrr79OQ0MDdrudIUOGMGXKFLZv3x6isM2YMUPY2BIIBAKBQHBqla2dO3fy0ksvsX79emprawkGg4eFUalUhy3HHQ/bt28P2aBeUVHBzJkzDws3dOhQJk+eDMATTzzB1q1b+emnnwgEAsyePTskbGRkJJ9++ilWa+MSWkpKCh988AGXX345Ho+HHTt28NBDD4XEu+qqq/jb3/52wmUQCAQCgUDwx+OUKVvLli1j7NixilHRI53ckyTplH5P0GQysXDhQt58803ee+89tm/fjsfjISUlhfPPP5+ZM2cecQnyoosuYvPmzcqHqMvLy7FYLMqHqKdMmXLKyiAQCAQCgeDM5pQpW/fddx8ejyfkNF9TTvaj1YeYNWsWs2bNOuF4Wq2Wm2++Wfkcz/HSoUMH5syZc8L5CQQCgUAg+HNxypStzZs3K4rWJZdcQk5ODgaD4ZTOZAkEAoFAIBCcak6ZsmU2m/F4PFx99dW88847pypbgUAgEAgEgtPKKTP9MGrUKEC25C4QCAQCgUDwZ+GUKVtPPPEEkZGRvPPOO2zfvv1UZSsQCAQCgUBwWlFJv3dn+lG49tprD7u3bds21q9fj0ajYcCAAaSnp6PT6ULCqFQq3nrrrdYQ6Yylvr6eiIgItm3bQYJZh9Zswa+SbXRppYBy7XR7sXu8SjzrQYvD4QYNfpUGrRSg3hPAbNQrYR3eRmu9Fr1c1xUNsuXtknr5f7vPT6LFiN3rJzncTEm9E6teXmGOMMp5WAy6kDSsBj3mg35aSbaCfMiqvd8lm2nWmqxKWZxuryyn06H4HwpzyB1wOnAW7gZka/Pqg9blNSYrvppy1CYLGpMVrTUcjcmKp7KUgMuO4aD1fL9d/lySIS6JgMuOp7IUjclKwGUn6HIQcNkVt8ZkRW2Sre8DaMwWxfK+PXcTAZcDfXQCapMlJK7aZMFXI4fTRScofoGD1vG9lQcUS/Qak0W51se1OXjPiqtwD/q4NgAh4eWyynH00fEEXA7lT2Oy4K2uPCirbPHcXVGpWJcH8Ds8+Bx+dJbG3QGH3E3/B7BVgNutxmgMYrJKuOyNeyfd7sZ3sIS0oGyl3q4KuX8IozGoxElIazTlYqsgJF23W01UbEBx1zZoMOkk2Qr9/7d373FSVHfe+D/V3dM105e5MVzkLih4IYgRXIkK6CoqT/ASghJWhdXVgPKS/KI+SGKI90lCdnV5Vg0+UUASETUm0YiCEkHibp4IBpFBNKIIDohzgZm+VndXn98fPVVT1ZeZ6Z6unp6Zz/v1mtfUqTqnzunTXT3fqcs5aB9xPqhKGFAa19vlHliCxs9jCIcTI9lrZb4SqcPGBCQVQRFDUMRQ0zY6dKNhhG0gMeq8y1YCt60ELsmBBjWUGH3aMBp9spgQ+Gv4OFpaWlImn88H7fg/eGAvhg04CaGmesg1w3Cs9Rg8sht+JXFcfdLwGQDAHwnB4yyDPxLCsPJB8DhdGFw+CH4lgGO+Bnicic9HfesxDCsfDH8k8dq09f5IEPWtX6e0w7hPLb9bTnwuPbIbbjkxBE5A8cMte2BL85cjGvIhFmyFGvTB7vLC4SqH3eXV88YlQA22T3Nmd3lNaa1sLOiD6j8Bu6cS4YMft7fxjMl6OaB9X1paqy+xj/bp05TGI4n8bftM5PXqbQzbE5/LUlUgcGi/ns/h8kL5+jDUoB/xYAAlNYMRbTwGNRCE3Z3oz9Dn5rktw41+OFwlcLhkxIKKvt7hktteo6Kn/YdaEAmpcJbZ4XDZ27ar+nKwKQKlbaR834nEb7ltsgml7aMdDgMVlcCxxNcSgqH2Uf2bWhKj1QOJEetdZYntoQjQHBAoK5H0Ue2No9trI+KXykBpaaIOAAgr5v1XVrS/brkUcJZKiIQT7XSWJvpUS2u09bJbghIQiIQFvANs+rKzVILsluAss6O0phSxYBTBpgicZXb4GhPfXw1fdRy2aG3W2qv1wZctqj66fbpZALR+0UbBB4BIPIpnGl/q9vFv2T1ba9euTXvzuyRJUFUV7777Lt59913TNm3oh/4WbBEREVHfZfkN8plOnFl0Qo2IiIioqFgWbE2bNo3DOhAREVG/Z1mwtW3bNqt2TURERNRrFGycrUOHDgEAqqurTXMNEhEREfVlBRv6YfTo0Tj55JNTJnvWrFu3DhMnTsRZZ51VqCYRERERWa5gZ7Y609jYiL179/I+LyIiIupTCnZmqzONjY093QQiIiKivLP0zFa6gU03btyIvXv3mtYFg0G89tprAJAyyCkRERFRb2ZpsJU8sKkQAjt37sTOnTtT8moDmp5yyilWNomIiIiooApyz5ZxANOOBjMVQuD2228vRJOIiIiICsLSYMs4sOn27dshSRJOPvlkjBgxwpSvpKQEw4YNw3e+8x3Mnj3byib1Ktqcg0Ye2Zky5yHghF8JAUjMe+iWSxBQomgJt8+j6I/E9OWjgcTcXL5IYv8nlDj2NSUmv6o8HsSXrTF4ZBv8Slz/3V5/4ja/yrbfJ5Q4KmWb/lvjddoB+HDYFzWtNzqhxOFXGvV9AsAI7ynwOu3wVDvgjyba7ClxwHPyWHwVSLTR16oCrXEAQ+D12gFt+jtHYn40HAcAL4YMOQsVpU7TvI6qoQ/LZCeO+BLzzgXCUbirR8PtLIFn1Jmm+SWN/a69I4MqPAiGI3CVOhPzVwYDcLjcCLfNr6gGA7C73KbXq80VGTj8GewuN9RgwDSHIwA4POVQGo7oZeKhRPtUw3ySaigA1d8Kz/izoPpboep52udRNM6nGPUHIA8ESjxuRP2JvJ7RMM2rqE1xFmv7bDjcMmIBBfLAqrbXE0YsoCDQkPjcOV3mB1nKgioACZGggNMlocyT+k+VNi9iYpuKcNiGYZUx05yLZSWJcuGwrW0+tigACaFooqz2GwDKDbectiIOt7DDDTsCtsTXmlvYAVupPl+iS3LAZUt8FgLxKFx2B9xtaW2+xI7mSCwUhyt1/rVA2/yImqP+4wCgz3G488h++KJh+CKJ969ZUdASjaGiJDGvYEs0Zip/0B/BiUgclU4bTkQSx7e2XOncDwD6+uZwHNWl7X3dHE6s19YdaomZjmFNdakNzeE4/EocIyscaA7H0dTa3o54OA5JUSFkO2ylNsTb9jtwkNO0/9Eeh96ez/68Rd+vsR6jSqdN/z3KnZhIsFpOzEs41F0BKIk5RqE0tH1XAEcCLQAArzORz1tSmtiuNMDrLgXcFfA4hyQyV3lQUerV55ocfFFiLklt7shkyXNIGuePLP/aPK+i3VMJ1X/CtKwGE8d+vG3uWTXQ/hm1u12INDTC7nJhTDAI1R8y7S/c6NfnV6waKevrHa4ShBvD+hyMDlfiOIgFo6a0wyXD7klMhKj6Qwg3+hELqiitKTXVkzzvo3G9tk7bd2mNxzQ/ZLpysWAUsaCq53e4FDhcMkprFMSCUcjuxFyJABAJqVACQp9PUUvXuBPfFb6muD6P5LCwHc0nEuWqKxNzKGpzOgKJeRxbTkgoLbUjHLaj+QRwPCQBebil3NJgyziwqc2WOABuu+02/PCHP7SyWiIiIqKiUbChH376058CAL71rW8VqkoiIiKiHlfwYAsAPv/8c+zatQvHjx9HZWUlJk+ejJNPPrlQTSEiIiIqmIIOavrZZ59h0aJF2Lp1a8q2iy++GE8++SSfRiQiIqI+pWCDmn7++eeYOnUqtm7dCiGE/lSitrx161acf/75+OyzzwrVJCIiIiLLFSzYuueee9DQ0GBalzwMRGNjI5YvX16oJhERERFZrmDB1ptvvqkPA3HLLbdg+/bt2L9/P7Zv345/+7d/A5AIvt58881CNYmIiIjIcgW7ZysSSYxX9J3vfAerV6/W148bNw4XXnghmpub8fLLLyMajWbaBREREVGvU7AzW5MmTQIAnHnmmWm3T5gwAQBwzjnnFKpJRERERJYrWLD14x//GEIIvP7664jFzKMZq6qK1157DTabDStWrChUk4iIiIgsV7DLiA0NDbjooouwbds2fPOb38R1112HQYMG4euvv8bGjRtRV1eHK664Al9++SWeffZZU9kbb7yxUM0kIiIiyquCBVsLFy6EJEkQQmDv3r2oq6vTt2lPJb7++ut4/fXXU8oy2CIiIqLeqqCDmgLQn0jsbB2QCMIybSMiIiLqDQoabCWPq0Udi0l2OISqp12lTn3ZIzv1dDAc0dcBQCAShVsugVsu0fMHlPanPD1OB/yRGE5yJ9L+aPs9dL6IitNr7PA67fBFVPgiKirlxK192jptGQBOKHGcUOJ6+RNKHJWyTc/nb9tWKdtwQonraX+krV0RgWN+ta2NwAFZxWCPOcD2tNX/lS9uWh+ICLidkr4MQE8nXmcQw8sderuHepzwlDj01zzEXQp/JKanjdu0ZWOfGX3tCyb61xdoq7cEHkUFPDXwKxF4BtVALnUiGI6Y3rfWcASukafCIVTEygKIhdywl3mghvywl3lgd7mRLOZvRQkGA0AiXygAtSxRDtWDoYb8el41lGiP6m8FANjL3HC2rbOXuWFv/lpfVkMBqMFgIu1yQQ0GEfUn8pZ43Ij6AyjxJNpTOmggwl83AGgBADjcMmIBBdFAov+cLgmRYOI90H6H/In3Ihy2IRSVEIratVbq67TbRkNRCUFVgssuEFQltO0CoaOJ9V+JOMphQyviCEgxBBFDAwCXlHhfGuNhuCQHXJIDjfEwACAoOQABNKihxM7a7lANxqNw2UoQFOZ7RwPx4nwS2iO7EVACqCj1wuN0wR8JoiXsQ0WpFwDQEvbBFwnDW1IKb0kpfNHE66+WZXidMgDAF1H0/TUrCkZ7EssVJQ60RGM4EYmh0unAiUh7n1Q6bTgRiZvSyZrDbcezEodHtunHt7ZOaUs3hxPHvmhJ9LEjGEWJEoMtHEO8NPEe2sKJuk8cL038BhBzleAfFSWIh+OQFBWOYBSNrhI4glHYlLb8clt5JYa47EC0qhSSokLIdpRVhPXvDwCoLm0yvY7RnsSxebDtC6nSacNBf0xfNuatdDr0/qoocWCUtxzeklLgyH4AwEmeKvgjIfgiYVPa4yxL9HXb+wcAg8sHwV0zDJ4RpwEAoiEfAKCkzKuntWXj9liwFWrQh1jQB4fLC7vLC6XxCBwuL2LBRB7VfwJq0A+7ywN30I/yhgaowSCcA2tgc7kRDwZQUtP2fRJMfHfYXR6oQT/iwYBep63tu8ju8ujrnF98nljndunr1EBQT6uBIJLZ275jHP7EcegcNABOAJGvm+AcNAB2twuRhkaobduTxYKKKe1wlcAZVOFw2dvSdgAROMvs+jpAhWtA4r11lqmIhNr/jlY0JT6T3gE2OMva9xELJvI5SxNfPl4ApaUCpX4A/0jbtKwULNiKx+OdZyIiIiLqYwr2NCIRERFRf1Twe7YA4MiRI/jrX/+KhoYGTJ06FRMnTuyJZhARERFZrqDBls/nw+LFi/H888/r92+tXLkS+/fvxz333ANJkrB9+3YMHz68kM0iIiIiskzBLiMqioJLLrkEGzZsQDweN90sf8UVV+Do0aM4ePAg/vCHPxSqSURERESWK1iw9cQTT+C9995Lu83r9eLCCy/UR5gnIiIi6isKFmxt2LABAFBVVYU33ngjZbs2d+KBAwcK1SQiIiIiyxUs2Nq/fz8kScKCBQswc+bMlO3V1dUAEjfPExEREfUVBQu2otHEYHaVlZVptzc2NgJITEpNRERE1FcULNgaOnQoAGDr1q0p20KhEF5++WUAyNuTiLFYDOeccw4kSdJ/Fi5cmJJPVVWsXr0aF1xwAaqqqlBWVoZTTz0VS5cuxdGjRzPu/5NPPsHNN9+M0aNHQ5Zl1NTU4NJLL8ULL7yQl/YTERFR31CwYGv69OkQQmDHjh2YNWuWvn7Tpk2YMmUKDh48CEmSMH369LzUV1tbi/fff7/DPOFwGLNmzcKiRYvw7rvv4sSJEwiHw/j000+xatUqTJgwATt37kwpt2nTJpx11ll45pln8MUXXyASiaCpqQlvvfUWrrvuOixcuJBTExERERGAAgZbd9xxB+z2xDxEmzdv1ieYfvvtt/HRRx8BAOx2O5YsWdLtuvbs2YMHH3yw03z33nsvtmzZotd9yy23YMWKFRg5ciQAoLm5GXPnzkUg0D5fVH19PebPn49wODH/1RlnnIEHHngA8+bN0/OsW7cOTzzxRLdfBxEREfV+BQu2Jk2ahEcffRRA6oTUQghIkoRHH32026PJR6NRLFiwANFoFJMnT8awYcPS5jt+/Dgef/xxPb1s2TI89dRTuP/++7FlyxY9GDx48CDWr1+v51u1ahVaWhKT8Xq9XuzYsQM/+clPsGHDBsyfP1/PV1tby/vPiIiIqLBzIy5ZsgTvvPMOrrnmGgwcOBB2ux01NTW46qqrsH37dtx+++3druPhhx/G7t27Icsy1q1bB4cj/SD5W7Zs0c9OAcCcOXP05fHjx2PChAl6+pVXXkm7PGPGDP0pyuR91NfXY9euXd17MURERNTrFXxuxPPPPx/nn3++JfvevXs3HnnkEQDAAw88gDPOOCNj3j179pjSY8aMSUl/+OGHpryKouDjjz/usExyHeeee25K3YqiQFEUPd3a2pqxnUTUt/D4J+p/emQi6qamJgDAgAED8rbPaDSKhQsXIhqN4rzzzsOdd97ZpTZoysvLTWmv16sva8NSHD9+3HQJtKMyxnLJamtrcf/996fd5nC5E7+Fiphkz9h+vxKBq9SZss7I7SwxLXtkJ/xKBG65xLQtEEkMyxFQoin1tIQT+6xoqys5fWpVe7olHIE/EoPH2f6xGlcVAwB9nT+SSPujsZS6fBEVXqcdnhKHnsdT4oDH6UiUG2J4rdGYnt8XUU3ljU5yy22/YWqX1mbj68r0GjVuuSSln7R+9MhOuEqdCIYj+rJDqCnvUTJHmQeOMg9iIbe+zl7mgRryw17mSc3vKYfScAS2Mre+3WYoWwIgHgoA1YP1dZHmY237dcM58CSo/lbYPYnPruo3/6GPNH/d3g6XSy8HAKWD0rTfLSMW0AKHxHta4nYgGogB0I6VOLI5ie6yCwRjicv4QVUybSuHLbFbKamM5IBLciAoUj9XbluJnkdrhttWYsrvtpUgEE/9/Fsh0/HvdroRl4CSMi/iADyy27Td43TBbVjncbr0ZX8kZMrrLSmF11lq2DngcZaZ8ianAcAXCcMXDev78EXD8EUUeJ2ynjbyRRQ0Kwqq5cRx1mwIIqtlGZ/7E/e7nuxxo1lR8MWw9vInInGciMRR6bSh0mnT06M9Dn17YpuWTrxXlU4HTkRiOOjX0omyzeE4qkvb9wUAoz0OPb9GS1c6Haho+64Z3XaoJdJhve50TkRi+v6qZcW0Tesvcx+FU/rZHwnC43TBHwkCMLyXgQYAgFt2I9DYkLodwODBw1EuexBQ/DihBOA5+XQIACEl0deDy6foeW0CCDXVAwDKBrTfUhOXgIDih1v2wCYSaWNeNejT89pdXjhc5YgFW2H3VKb0h+o/0V6fyw+7y9O2Dz+AxHcSAMSDAaiBIEoGDkQ8GIBzEGB3u2BzueEcCKiuxGu1u12INDTC4U/0l91T1tYOF+zBYNveTsDhkg2t8MPhav+b5nDZM6ZdA6Jt60pM+4gFFZQCiAWjcLhKEAtG4a1RUdYSA/475WVnrWCXEd966y3MmjULbrcbgwYNwqBBg+B2uzFr1qy0w0Fk68EHH8QHH3yA0tJSrF27Vr8ZP5N0941lSmv3b2VTxlgu2fLly9HS0qL/HD58uMO2ElHfweOfqP+x/MyWEAJLly7Vb0Y3BiShUAibN2/G5s2bcfvtt2PVqlU51XH48GHU1tYCSNyzNX78+E7LJJ9V8/l8pgFXjaf2tfuyqqurIUmS/hp8Pp9pH8mXA4z3cxnJsgxZltNuI6K+jcc/Uf9j+Zmt2tpa/Nd//ZceoBjP9hjPGD3++ON6wJStpqYmxGKJ07p33nmnaSDTL774Qs+3bt06fXDT5Kcek+dkNKa1vLIsY9y4cV0qYyxHRERE/ZelwdaRI0dw33336YGPEAJnnXUWrr32WsydOxcTJ07Uh30QQuC+++7rcNT2fJo5c6bpv8uXXnpJX66rq8O+ffv09JVXXqkvz549W1/etm2b6d4v4+jxQ4cOxeTJk/PebiIiIupdLL2MuGbNGsRiMUiShDFjxmDjxo345je/acqzc+dOfO9738OBAwcQi8Xw9NNP4957782qnsrKStOwC0avv/46gm031Y0aNQqTJ0/GlClTUF1djcWLF+Oxxx4DAKxcuRLNzc0YMmQInnnmGb38yJEjccMNN+jppUuXYvXq1fD5fPD7/Zg2bRrmzZuHuro6U8C2bNmyTu8bIyIior7P0mDrnXfeSVTicOC1114zXYLTTJ48GX/605/wjW98A6qq6mWyMXr0aFOgk7xNu5Q4Y8YMrF27Vt/2yCOP4MMPP8TWrVuhqiqeeuopU9nKykq8+OKL8HjanwobPnw4fvvb32Lu3LlQFAX79u3DihUrTOWuv/76vIyET0RERL2fpZcRDxw4AEmScNlll6UNtDTjx4/H5ZdfDiEEPvvsMyubZFJWVoY33ngDTz75JKZOnYry8nLIsoyxY8diyZIl2Lt3b9pxsmbPno3du3dj4cKFGDFiBJxOJ6qqqnDxxRdjw4YNWL9+PWy2go4XS0REREXK0jNb2jhTZ599dqd5zz77bPzpT3/KODZVrg4ePNjhdofDgUWLFmHRokVZ7fe0007DmjVrutEyIiIi6g8sPf0SCiUGJauoqOg0rzZAaFAftIyIiIio97P0zFY0GoUkSdi5cyeeffbZDvPu3LkTADh5MxEREfUpBZmuZ+PGjdi4cWMhqiIiIiIqKgWbGzF5Kptkmaa2ISIiIurNCjJdTz7zEREREfUmlgZbb7/9tpW7JyIiIip6lgZb06dPt3L3REREREWPI28SERERWYjBFhEREZGFCvY0InXOVeo0pR1CRSwYSCy73KZ8Wl6HaB+XzCObyxtp25J/G5f9zkhKuUFeFwKRKNzOksRvuQRuZwk8shN+JYJBXpdpX34l0mHayK9EzPW35XWVOhEMR/TX6hAqYpLd9FpjUvsk31reZFrZ5Pwa4/70/QYDcLgG6MumbSE/HGUeOGrKDdvjiWV/I2J+QHulytcBKG3LdsN75wQQ8wNK0r7VkN9cl78VMX9r2teVzF7WPnenGvLDVuY2bXdWD07Kb95uygtADQWghgIp+exlbpR4UgcdtrtKoQbDcLjlRNsDCkrcDgCxthwCZR4VIX/7E8elpXEk/6/nsrc/JONqyxpMem6mta2/k7kkh+l3h9uS/sUMxKNp99nT3HL7+zq4vH29R3YDrV/DLbe/P8PKB6El7ENFqRctYZ++XksPK2//DPgjQXicrrY63Ago5s+iP5J4j7U8yels8ian61uPmdqlLRsl15PcRi2t7TsdrS+0/Wl5jesBYLB3IADo+/M4XXobk2nljP2bvN24bVj54IxtTH6NWt0dvSbNsdavAXytl9P6RisbUAKmz4bHWwG37IFP8cOvBOCR3fBrZQxpj+yGu2YYAEANJl5HLNgKh6scJWVtfVaT2h7V5UWsLb/dU9lh221t34U2V+bvIACwu9r7R/WH0i7HgoqpTCwYNSyrSdtUOFwlpnUOl5x2P+3bE/lLIql/O3LBM1tEREREFmKwRURERGQhBltEREREFmKwRURERGQhBltEREREFmKwRURERGQhBltEREREFmKwRURERGQhDmpaBIRIjNzo8/lgTxpoU20b/NKutg/mqBoG6LQLFT5FRSASgYgkhtQMRFIH+dS2aduNaeP6dAKRGITTgUAkMUilcDogIk49f0f7zlSXsT5ju0XECTXaPqipGnXCLlSokt3UN2oXBjXVyibn1yT3NZDob62v1eRBTcMBOGIi7fZYOGmQ0mD74IT2eNLInEnbAUBNKh8LZh7cMB5KDOxnE6n/K2nbMq1Tw2FzvSHzgH5qWIGqRKAq6Qf6jEZi7cvR9mU1ahhwNtY2kKya+B1p2xROGo80bOiXkJDM29rSSlsWBXEoEFDaBjWNZBjcFACiIv22COKIiri+PdqWjhnyx0Tqe6WtE2m25YPx+AcAmwDi5u5AIJI08KjPj3gkUS6oBOCPhhAIB2GP2RAIGz57bWm/1D5orj8aAkoSrzkeEQgmD2oabfu8tOVJTmeTNzkd8AdN7dKWTZLqSW6jltb3nYbWF9r+tLym9QBcKAPQ3ocoiettTKaVM/Zv8nbjNr/kz9zG5P5JamdX+l7fniav9tkAgHgkDlWJIxAJIKAEEY/EEVCCpu3aelVp+25rG2Q5FvTDoUooiQpEw37EgubBlxN5AynflQCgBpK+45K+m+LBxHeRDTbEg2GooUTaLtmghsL6d1M8nPhts9v05Zhi/s6PJX1fxSIqHHa7KR1TbKa8sQ725WgbYDmmRNv/TnXz+GewVQS0L9mzzj67h1tCRJn4fD5UVFRYsl8AGHPGxLzvm4jyo7vHvySs+neNuiwej+PIkSPwer2QJClle2trK0aMGIHDhw+jvLw8zR7IiP2VHfZXx4QQ8Pl8GDp0KGy2/N95weM/v9hf2WF/dSxfxz/PbBUBm82G4cOHd5qvvLycB0MW2F/ZYX9lZsUZLQ2Pf2uwv7LD/sosH8c/b5AnIiIishCDLSIiIiILMdjqBWRZxk9/+lPIstzTTekV2F/ZYX8VN74/2WF/ZYf9VRi8QZ6IiIjIQjyzRURERGQhBltEREREFuLQD0Wgs3F2iKjn9PQ4W0TUczjOVh9y5MgRjBgxoqebQUQdOHz4cJfGw8oWj3+i4tfd45/BVhHwer0AgA/+/ndUelymbfrciC53+7oMcyO6nZnnRtS2aduNaeP6dAKRGNyGuRHdTgfczva5ETvad6a6jPUZ2+12OuEqbZ8b0VWa+9yIWtnk/JqMcyO29XXauRFL3Wm3dzg3osv8niZvBwA1bJ5zLBbwpb6gNvFQoi5bmTvjtkzrkudgVENJ7Qi0Qg0HU9Zros2N7csBw36D7XMsxtqWY8HE5yXStqukqhEOt/+XGIqZz+iE1EQ61Pb4TiviKIcNrW1zIgalzHMjhkQs7foyyYGQiCHYtt0lORAUMQTj7fOqBeOpZWNCYKdyQj9O803b72f79sDr9XZpbsSG1ga45MT7r83r1xr2o7zUg1bDZ0lLD/UO1Nf5oyF4ShJzArpkd8a5EbU8yels8ianj/gaTO3Slo2S60luo5buaG5ErS+0/Wl5jesBYJCnBkB7H3pKyvQ2JtPKtYZT5wdMfk0AMNQ7MGMbk/snuZ1d6Xtte7q82mcDANyyC26nW58b0S27THMjamktH2CcG9EHh8uLklJP29yIqd9LasgPNd36QEtSPvPnLN72HWhzuRAPBvXvRLvLBTUYhBpMvJ54oG0uWHeZvhwLJc1nGEyaGzGkwlFmN6VLB5Sa8pYOcGfcl8NVoi+3tIRwxbMbun38M9gqAtqlA6/Xi/KkYCtmT/xBchiCrZghcHAIFXCqkJQIPHIiaJGU1OBD26ZtN6aN69O2LxKF21kCKZL4kLqdJfDITj1/R/vOVJexPmO7PXIi2LKXtAdbDqEiJtkTrzVNH2h5k2llk/NrHGmCrZjdpve11vf6NocER5kn7faYw/zXUbW1p42BcrrtAKDazQ8Fx9K0Tc/bFmjYy9IEcWmCkLhhnSolTXSOpLQqQxUxqPH0E1FHnO1fGdFI+7Ja0h6kxByJvo62vSZtUlcp6TVLxlPySZfPRFtaa7kMCTJskJFYH+vgalssw62oTsmGGGwoadteIiWWHVJ7fkcHl/GsusRnOv7Ly9MGW3bF/JpCIgR32x9Um1MCIjaojjg8pW6ojvb3W0t7vIaAJmKDx5n47Lhld6K8USRRl5YnJZ1N3qS0WwRM7dKWjZLrSW6jno5kvqSj9YW+v7a8xvUA4G3rF21/HqdLb2MyrZyxf5O3m/re68nYxuT+SW5nl/q+bXu6vG5DsOWR3XDLHtgVG2xOGzyyGzanzbRdW++WPW2vse04s4tEsFXmRbREQsyeOniBaheI2VL7RIX5OyT5uynednTbXGWIIw61bUJ4u6sUqmhPq6r2fSfry7Gk6mKqlJRW4ZDtpnRp298ZLW9pqZxxXw65RF+OORPfkd09/hlsFRktqNCCA0eaP9TJXKXmYCZTcJNpuz9DkAUAgbYAS/vdURltXfK2jvafvN24D4+cOMOV/Po0WrBULqcGUsnBWbrACgBiaWar73B9yN9hOp3kM2Tp2Ms8neYxcnjST6thXB/zt2a1TzUUgN1TDrunHGqasmoogLLhbn3ZOWCgaZspr+HMXdRvPAMWbm9fIHEGLBpIPZsUCSa+1EN+4xdc3HA2LPGeh6KpX4BBtSTdy0uQSgAJCGp/MySg1R5HQEr9fGhnwKIijr+Gj2feZ57Y2toUl4CA0v650v4AGrlNZy4MQUUbj9MFfyRoCqo6Kw8AASWg/7H2yG74lUBKWY8hPTipXZ2ljfsabDjblmn/2msPKP60/WBk7L9kxv407lcvYzicBpcP6lK9yfvU+NvOwg0uH5yS17hfIE3/JJ1lTO57oL1/kt8b/XPQ9tv0GkUira1Lfk3J/aECiAUT3wGxYKu+DCDtWax07J5KqP4TabfF274T1UAQaiD57Hr7WS7V337mT1uOGc6idyQWVOFwGQKupLNf4UY/HK6SlPXGvLFg5n96s8WnEYmIiIgsxGCLiIiIyEIMtoiIiIgsxGCLiIiIyEIMtoiIiIgsxKcRi4g9aZiCdONHJT+Zl25Ig2wZn05MfnLQ7Wx/sivQNgREss6eNuys7s6eXkw/jlb7UyLpnlbUnmLsaAwuAIA79am+WNv65CEn0j0ZahqSw/DUocPwdGFXnlhMZne5U55i1Ma+yfQkIpD+CUR7mUcvq43NpY29ZdxmTzNuFwD9yURtuxoKZMzbXmf7duM4Y+meUpQND6VpTytqowq5Ax0/eZT8JGMkmPpoupHx6cZw2IbSUu0Jx3RPNya+HpuTnw0vEO2pNr/S+dOsyU+leWS3/mSb8cnCdGlP0jAB7ftJ/xReR08F2gzdH5fM6XRlk7droqHEE2/ak2+l6PwpOKXtiTmHq/34KCnzIhrywVtmHiMp2ravdGWMdXVUb6mhDiOv02Oqw5hXaaxPpF3pj+FSR4YhHoxUgViwFZVt7TY+KQgAiCTGtwoe+7LzfQGmsbOMTw+qwfbvrXgwAJvLrT9FqOcJpB+Pz5THcMwbny5sH48v/TAzXXkSMBJS4SyzIxJKn9e4Pl0eZ1DNWFYTjeTniUSe2SIiIiKyEIMtIiIiIgsx2CIiIiKyEIMtIiIiIgsx2CIiIiKyEIMtIiIiIgtx6IdeIN1EzR0xDtGQPIF0p2WVKNxyif5bW2fcno6WN2W9syRjG9zOkm4NG6HJNLxD8nptcmvjNm0IiI6G2UgeXiN5UuvOJg13uNwZJ7buqBwGtO1fL5s8bW2qrg4zYRxWQjWUyTR5tdqF/cZDHQ9RYNxH8sTV+vpOJs/OVC7dto7ypi0fTP8Y+4njLcAfstpVt2lDJBiHfQgYlt2yOyVtlDxchF8J6PndhmEf0uXtTGeTZAPtQzcowVbTsArJlORhCwyMQy7YXV6oQZ/+uyPadrvLa5pMubM60m2zu7wp+0xuV6Z9d1RH8j66orP9JIul2eZweVPWJ08WbRzyoTN2d+dDVWh51EAQdpdLP87snsQALw7DcBCJdieGhCit8ejLDpds2qYpTfpt3k/q3x2HK/XvVLqyRjalg4nts8AzW0REREQWYrBFREREZCEGW0REREQWYrBFREREZCEGW0REREQWYrBFREREZCEGW0REREQW4jhbRcxV6kQw3D42FNA+zpZHdprGqDKmtTG2spFuLK1MY2p1Vj6bbR3uM2l8rlxeV7Lkcb06G+cruY/TUzOsN7AnRnPR3lMTpZPydvNIMNr4X0BifDBj2uHOPKaRkXbgJ48ZpuloXLDuSDcOmBoMwO5ym8b+ykQN+WEv8+jLHdbVyZhdndWjcQdDwB925ryvXCWPYeUxjI/lSRpXS0v7lUDKtmSdbc9Uf0dswpwuKfN2mAYSY3F1NAYXgJTtDlc5HK7yTse2yrSv5HIdjXFl3JZpOV0bjWLBVthdXj1PrJNxxzpiLKe9juR1xrS9LZ28Xk7aB2qGdrkNyeN6dXWMsI72oY37lW4MMI2jrZ5M2zPWlTSGmN1TmXbfxjYka/UHgJ+vzqredHhmi4iIiMhCDLaIiIiILMRgi4iIiMhCRRlsvfjii1i0aBEmT54MWZYhSZL+k4mqqli9ejUuuOACVFVVoaysDKeeeiqWLl2Ko0ePZiz3ySef4Oabb8bo0aMhyzJqampw6aWX4oUXXsh7XURERNT/FOUN8g8//DA++OCDLucPh8O46qqrsGXLFtP6Tz/9FKtWrcJvfvMbbN68GZMnTzZt37RpE+bMmYNwOKyva2pqwltvvYW33noLmzZtwpo1a0xBXq51ERERUf9UlGe2JEnC2LFjcd1112H69Omd5r/33nv14Mdut+OWW27BihUrMHLkSABAc3Mz5s6di0Cg/Wmn+vp6zJ8/Xw+0zjjjDDzwwAOYN2+enmfdunV44oknul0XERER9V9FGWz993//Nz799FM8//zzmDFjRod5jx8/jscff1xPL1u2DE899RTuv/9+bNmyRT8rdfDgQaxfv17Pt2rVKrS0tAAAvF4vduzYgZ/85CfYsGED5s+fr+erra2FqqrdqouIiIj6r6K8jFhWVtblvFu2bDFdBpwzZ46+PH78eEyYMAEffvghAOCVV17BokWL9GXNjBkzUF1dbdrHc889ByBxBmzXrl0499xzc66rO5LHVDKO9ZQ87lPmcaBSpYxhJXc8hlXOY2UpUbQkjyuVpLPtVHgVpV3/LAEdv4fmfaX5yrFVAOG2351wV9e0J8pqMmcEgOr8jM0W9Wc3tk8+aONWJY91paVtwrys8ToT66IhX8rYVtq2Lmvbb7p9ZZIub0dljdu6UjabfXdWX77F09xSrNWnbctlXCoACCh+uGUPAkrb+G/eCnO6bV3MWEhLJ63Xx2Lzdn68afl1zqoutre9jFt2m9OVSfswpg3LASWQUhZlA0xFU7YnGzCga3mT9mvkj+Xn71NRntnKxp49e0zpMWPGZExreRVFwccff9ylMsZyudRFRERE/VtRntnKRlNTkyldXm4endfrbf9PorGxEUDicqAQoktljOVyqSsdRVGgKIqebm3NfaRrIupdePwT9T+9/syWMWjqLK3dU5VNmVzLdTRMRW1tLSoqKvSfESNGZMxLRH0Lj3+i/qfXB1sDBpivtfp85vsrjP81avdlVVdXm4KhjsoYy+VSVzrLly9HS0uL/nP48OGMeYmob+HxT9T/9Ppga+LEiab0gQMHMqa1vLIsY9y4cV0qYyyXS13pyLKM8vJy0w8R9Q88/on6n14fbM2cOROyLOvpl156SV+uq6vDvn379PSVV16pL8+ePVtf3rZtm+l+LOPo8UOHDtUHKM21LiIiIuq/ivIG+SeffFI/S/Tf//3fpm133XWXvvzjH/8Y1dXVWLx4MR577DEAwMqVK9Hc3IwhQ4bgmWee0fOOHDkSN9xwg55eunQpVq9eDZ/PB7/fj2nTpmHevHmoq6szBVHLli2D3W4HgJzrIiIiov6rKIOtjRs3Yvv27Wm3/fu//7u+vGTJElRVVeGRRx7Bhx9+iK1bt0JVVTz11FOmMpWVlXjxxRfh8bSPMzN8+HD89re/xdy5c6EoCvbt24cVK1aYyl1//fVYsmSJaV0udREREVH/1esvIwKJQVDfeOMNPPnkk5g6dSrKy8shyzLGjh2LJUuWYO/evTj33HNTys2ePRu7d+/GwoULMWLECDidTlRVVeHiiy/Ghg0bsH79ethstrzURURERP2TJJLHL6CCa21tRUVFBb74x8dwlVdmVTYYjuijzAc7GYndr2TenjyifMr2LEaQz3ZEeH8k1nkmY/5oDJ4SB/zR7Mol80US0zB5nfaUtLZcKL6ImtIO6h6tP7srHAzgJ9degZaWFktuZteO/4bDn6PSW464ZB4VPh3jaOvRUHYj3MeC7U9NO1zlpnRHtLwOV3sfdJbOVUmZN6uR64H0I7hbSRvVPV1aG9k9ZZT3HOmjvqN9RPd0aX9Ho6nr7Uwdmb3Tkdi70sZIMNEOp0tfzoeWsLUzOPgjIXicZfoyAD0NAF8fb8L8f17Q7eO/T5zZIiIiIipWDLaIiIiILMRgi4iIiMhCDLaIiIiILMRgi4iIiMhCDLaIiIiILMRgi4iIiMhCDLaIiIiILMRgi4iIiMhCRTk3InWdNnq8ttzZKPKZuJ0lHY4i75ZLujyKfEWpM+tR5LOVr9Hjk5fTpTvaRz5HfTfu44QS7/b++rt89aES7PrsCVZJN2K8ceR448jt2YwQ39XR4415k8t0lu4KYzsdrvK0r7ErjH1kHH0+23RXeJ0ewDDSv1v2wCYSI9lrI8nbBEyjzOcioPjhkd36aPTayPEaYzp5W0fcSXmT0+nbEsiYz7jeOCJ9d0en9zhdKev8kaC+vruj1VeUetMua+ze/JyT4pktIiIiIgsx2CIiIiKyEIMtIiIiIgsx2CIiIiKyEIMtIiIiIgsx2CIiIiKyEIMtIiIiIgsx2CIiIiKyEIMtIiIiIgsx2CIiIiKyEKfrKVIOkZi6JSbZ9bS23BHj9D3JU/d45PZtfiV1Oh23s8SUTp6+xy2bt2cSUKKoMLSjIy3hCDzOrn8M/ZEYPCXF8bHVpupJXtZo0/nkMpVPuv11Jh9TBlEqRS3s/6Q2kbqus6lktKl6kpfTpY3T4iSnk7clM04LlKlsR+W7+hq6KlO/JK/PNp0L7X1Lfv+0KXySl7vKON1PZ1P/BBR/p/szTunjz3Iana5M6dOd/Nnq7lQ9hcQzW0REREQWYrBFREREZCEGW0REREQWYrBFREREZCEGW0REREQWYrBFREREZCEGW0REREQWYrBFREREZCEGW0REREQWYrBFREREZCEGW0REREQWKo5J5kinzYmYKZ0NV6kzZX5EjXGeRKBrcyWmkzx/ItDxHIoBxZy/q3MopsvfkuG1dUVn8zH6I7Gc963X0TaHY6HmcvQ6u99mShWSUj/jPamkzItoyJdz+Y7mTuxsfsLulO2I9pryMUdhf5Y8d2JncyV6Opi7MNt5E1Pb4k67nE4gy7o8Tpfpt5E/EtTXF9PciTyzRURERGQhBltEREREFmKwRURERGQhBltEREREFmKwRURERGQhBltEREREFmKwRURERGQhBltEREREFmKwRURERGQhBltEREREFmKwRURERGQhBltEREREFuJE1EUmJtnztq9Mk1Cn45GdaSej7kzyZNXpJqY25e9gkmogdaLqjmQ7iXU2E1d3NlF1MepKm/MxwXZ/YyvJ3zGZL92ZsFmbxLrYJn1Obk9c6qGGWCgfr0mbXNotezqdaDob3Z14OlfZTkLdEW3i6WKagFrDM1tEREREFmKwRURERGQhBltEREREFmKwRURERGQhBltEREREFmKwRURERGQhBltEREREFmKwRURERGQhBltEREREFiq6YKu+vh5PPPEErr32WkyYMAE1NTVwOp0YPHgwZs2ahd///vdpy6mqitWrV+OCCy5AVVUVysrKcOqpp2Lp0qU4evRoxvo++eQT3HzzzRg9ejRkWUZNTQ0uvfRSvPDCCxnL5FoXERER9T+SEEL0dCOMfvazn2H58uUd5vn+97+PX/3qV3o6HA7jqquuwpYtW9Lmr66uxubNmzF58mTT+k2bNmHOnDkIh8Npyy1YsABr1qyBJLXPsZBrXR1pbW1FRUUFvvjHx3CVV3a5XGeyma4HQE7T9STrbLqeTstnMV1PtrKZrqev4nQ92QsG/Lj12/+MlpYWlJeX533/2vHfcPhzVHrzv/9kxTpdT7K+OF1PPnC6nsysmKbH7w/gonNndfv4L7ozW5rhw4fj1ltvxUMPPYQbbrgBDkf7vG+rV6/GW2+9pafvvfdePfix2+245ZZbsGLFCowcORIA0NzcjLlz5yIQaH9T6+vrMX/+fD3QOuOMM/DAAw9g3rx5ep5169bhiSeeMLUrl7qIiIio/yq62XZHjRqF5557Dtdeey3s9vYJYGfOnIkbbrhBT7/++uu45JJLcPz4cTz++OP6+mXLluHhhx8GAMyfPx+nn346hBA4ePAg1q9fj0WLFgEAVq1ahZaWFgCA1+vFjh07UF1dDQCw2Wx47rnnAAC1tbVYtGgR7HZ7znVlwyFUxCS7/rs7XGkmau7obJdHzm5iZyD1bFjyxNTZCESinU5UnfO+lWjWE1f3RR31Ac/8pWeLFu5rUjubY7PwekMhz2gV+uxUPs/0FLt0r7XQZ6fyeVaqKwoxwXRL2GdKB8L5qbPozmx973vfw/e+9z1ToAUAV199tSkdiST+MGzZssV0GXDOnDn68vjx4zFhwgQ9/corr6RdnjFjhh5oJe+jvr4eu3bt6lZdRERE1H8VXbCVyccff2xKT5kyBQCwZ88e0/oxY8ZkTGt5FUUx7a+jMsZyudSVjqIoaG1tNf0QUf/A45+o/+nS+fEHHnggL5WtWLEip3KBQAC33Xabnh43bhyuvfZaAEBTU5Mpb/INbF5v+ynzxsZGAMDx48dhfC6gozLGcrnUlU5tbS3uv//+jNuJqO/i8U/U/3Qp2LrvvvtMT+TlKpdgq6GhAVdeeSX+9re/AQAGDx6MV199FaWlpQCA5IcpO0prryGbMrmW66i/li9fjh/+8Id6urW1FSNGjMiYn4j6Dh7/RP1PVnd+dmeUiFyCtX/84x+44oorcODAAQDAiBEjsGXLFowbN07PM2DAAFMZn8+HyspKPW08Ra/dl1VdXQ1JkvTX4/OZb4hLPq2vlculrnRkWYYsyxm3E1HfxeOfqP/JKtgaM2ZM1v+BHT58GJ999llWZQDg3XffxVVXXaVfups0aRL+9Kc/YdiwYaZ8EydONKUPHDiAc845x5ROzivLMsaNG6fft2XMky6tlculLiIiIurfsgq2brvtNtPp767493//d9x9991ZlXnxxRdx44036k/+zZo1Cxs3boTH40nJO3PmTMiyDEVRAAAvvfSSHgDV1dVh3759et4rr7xSX549e7YebG3btg1NTU36mSvj6PFDhw7VByjNtS4iIiLqv4punK0XX3wR1113nX6Jb9CgQZg2bZppxHggcUnxuuuuQ3V1NRYvXozHHnsMALBy5Uo0NzdjyJAheOaZZ/T8I0eONI3TtXTpUqxevRo+nw9+vx/Tpk3DvHnzUFdXh5deeknPt2zZMn0YilzrIiIiov6rS8HWo48+CgCYNm1a1hVcfPHFevmuqKurM90b9vXXX+Oee+5JyTd9+nRcd911AIBHHnkEH374IbZu3QpVVfHUU0+Z8lZWVuLFF180nRkbPnw4fvvb32Lu3LlQFAX79u1LuYH/+uuvx5IlS0zrcqmLiIiI+q8uBVtLly7NuYKzzz4bZ599ds7lu6KsrAxvvPEGfv3rX+PZZ59FXV0dFEXB8OHDccUVV+Cee+5JudcLSFxK3L17N37+859j69atOHbsGNxuN84++2zccsstpql7ulsXERER9U9FNxF1f2SciLrc683bdD3pZDs5dWfyMXm1pruTWHe4bwsnuO4rOF1PesGAH/NnTi/IRNTa/q2crqeQOF1PYXG6nu5Lma7HH8RV067t9vGf8z1bTU1NePrpp/Hee+/h+PHjiMfjKXkkScLWrVtzbhwRERFRb5dTsFVXV4eLLrooZUR1IyFEXgZCJSIiIurNcgq27rrrLjQ2NpoGBqX80C4dWnEJEQBcpU5TuruXFT2ys9M8Xb3U6HaWZF1/Vy89uuXs992l+vvQ5cmK0s7fy/7IEStMv9hE4qfQl97yqSfb3l8uIRb6UmEx8ThdAKy9nFhRap6uzx7LzxTSOQVb7777rh5oTZkyBePGjYPDUXSjSBARERH1uJwiJC2wWrhwoWl8KSIiIiIyy+n82D//8z8DAKqqqvLaGCIiIqK+Jqdg65e//CWqqqrw1FNP4cUXX0z7JCIRERER5XgZcdSoUVi7di2uvPJKzJs3DyUlJRg0aFDKfVuSJKVM6kxERETUn+QUbL333nu47rrr9JvkI5EIvvzyS327tp5DPxAREVF/l9NlxGXLliEUCmXczuEgiIiIiBJyOrP1t7/9DZIkwW6347vf/S5Gjx4NWZbz3TYiIiKiXi+nYKu8vByhUAh33HEHfvnLX+a7TURERER9Rk6XEb/73e9CCAG/v3+M2EtERESUq5yCrYceegjnnHMOnn76afzsZz/DoUOHoKpqvttGRERE1OvlFGxVVVXh/fffh6qq+PGPf4yTTz4ZTqcTdrvd9MMpfIiIiKi/yyka0oZ10IZ24NOHvVfyxNSa7k5QbdTZZNVdnag6nWwmr+7qpNVZ1W/RBNcd6UuTX1MqWy/6Oi2mSbPdsgdA35yQulgnn3bLbn05UMA2ahNSd5WVE1d3Vc6nnhhgEREREXUup2BrzZo1+W4HERERUZ+UU7C1YMGCfLeDiIiIqE/K6QZ5IiIiIuqaLp3ZuummmwAA8+bNw8yZM7OqYPPmzdi4cSMkScLTTz+dfQuJiIiIerEuBVtr166FJEmYMGFC1sHW3r179fIMtoiIiKi/4WVEIiIiIgtldYP83XffjbvvvtuqthARERH1OVkFW7mMraUNfEpERETUH3X5MmKug5hy8FMiIiLqz7p0Zuvtt9+2uh1EREREfVKXgq3p06db3Q4iIiKiPolPIxIRERFZiMEWERERkYVymhuRrOMQKmKSvaebAVepM+O2YDiS17o8cua6jPxK9+p1O0u6VR4AApFot/fRXW65+6+jOwJKFG65BAGl5/uiL4n3wge3bRmef+rJ1+KWPWnXBxR/gVuSPx7ZnbLOrwR6oCWZudO00SjQg+31OF1dyuePBC1rA89sEREREVmIwRYRERGRhRhsEREREVmIwRYRERGRhRhsEREREVko56cRP/roI6xatQo7d+7E8ePHEY/HU/JIkoQDBw50q4FEREREvVlOwdb27dtx+eWXIxJJPIqfPP+hJEkQQnASaiIiIur3crqMuHz5ciiKAiD9RNOcfJqIiIgoIaczW7t379bPXl199dUYP348ZFnmmSwiIiKiJDkFWy6XC4qi4MYbb8TatWvz3CQiIiKiviOny4iXXnopAGDw4MF5bQwRERFRX5NTsPXII4+gsrISa9euRV1dXb7bRERERNRndOky4k033ZSybuzYsdi5cycmTZqEqVOnYtSoUSgpMU+QK0kSnn766fy0lIiIiKgXkkQXHh202WwZb37PNMSDtl5V1e63so9rbW1FRUUFvvjHxyj3evO235hkz9u+chUMR3q6CSn8SvG1KReBSLSnm9CjAkphXn/A78e3p09FS0sLysvL875/7fhvOPw5Kr3533+xixfxc1UBxd/TTcgLvxLo6SZkLVAkbfb7/Jhy9kXdPv6zukE+U1zGoR6IiIiI0utSsDVt2jQO60BERESUgy4FW9u2bbO4GURERER9U07jbB06dAgAUF1dDY/Hk9cGEREREfUlOQ39MHr0aJx88sl46qmn0m5ft24dJk6ciLPOOqtbjSMiIiLq7XI6s9WZxsZG7N27l/d5ERERUb+X05mtzjQ2NlqxWyIiIqJep8tnttINbLpx40bs3bvXtC4YDOK1114DgJRBTomIiIj6my4HW2vXrjVdFhRCYOfOndi5c2dKXm1A01NOOSU/rSQiIiLqpbK+Z8s4gGlHg5kKIXD77bfn1ioiIiKiPqLL92xNmzYN06ZNw/Tp0wEk5j0cM2YMpk+fbvq55JJLsGDBAvzxj3/E4sWLs25QOBzGj370I8ycOROjR4+G1+tFSUkJampqcP7556O2thatra0p5VRVxerVq3HBBRegqqoKZWVlOPXUU7F06VIcPXo0Y32ffPIJbr75ZowePRqyLKOmpgaXXnopXnjhhYxlcq2LiIiI+p8uzY2YTJsrceXKlfjhD3+Y1wY1NjZi4MCBHeYZN24c/vrXv6KqqgpAIkC76qqrsGXLlrT5q6ursXnzZkyePNm0ftOmTZgzZw7C4XDacgsWLMCaNWtMl09zrasjnBuxsDg3Yt/AuRH7Bs6NaD3OjZi7HpkbUfPTn/4UAPCtb30r54o7MmzYMHzrW9/CqFGjUF1djcbGRvzud7/DF198ASBxNuqpp57CsmXLAAD33nuvHvzY7XbcdNNNOOmkk7B27VocOnQIzc3NmDt3Lvbu3Qu32w0AqK+vx/z58/VA64wzzsC8efOwb98+PP/88wAS44VNmTLFdDk0l7qIiIio/+pWsAUAn3/+OXbt2oXjx4+jsrISkydPxsknn5xzg2pqavDll1+mrL/zzjsxbNgwPX3w4EEAwPHjx/H444/r65ctW4aHH34YADB//nycfvrpEELg4MGDWL9+PRYtWgQAWLVqFVpaWgAAXq8XO3bsQHV1NYDEmbvnnnsOAFBbW4tFixbBbrfnXBcRERH1XzkPavrZZ59h0aJF2Lp1a8q2iy++GE8++WRenkZUVRVfffVVymj1Z555JgBgy5YtpsuAc+bM0ZfHjx+PCRMm4MMPPwQAvPLKK3oA9Morr+j5ZsyYoQda2j60YKu+vh67du3Cueeem3NdXX6teb7s5xAqgJ69nOgqdaZd35OXFz1y+jYZ9YZLjW5n/odW6U2XJt1yYYaWEVEOYWMlWxY3shT6kqNbzt90dD15SdIj5+cqSyEvR7rz1OZ0euISZU7B1ueff46pU6eisbFRfyJRkiR9eevWrTj//PPxP//zPxgzZkxODdu2bRsuuuiitNumTZuGf/u3fwMA7Nmzx7Qtub4xY8boAZCWV1EUfPzxxx2WMdqzZw/OPffcnOpKR1EUKIqip9Pd8E9EfROPf6L+J6cR5O+55x40NDSY1iXfZ9/Y2Ijly5fn3rIM5s+fj9deew2lpaUAgKamJtP25BvYvIYbzrWR7Y8fP25qb0dljOVyqSud2tpaVFRU6D8jRozImJeI+hYe/0T9T07B1ptvvqk/oXfLLbdg+/bt2L9/P7Zv366fcRJC4M0338y5YWPHjsXKlSvx0EMP4ZZbbsGAAQMAAM899xymTJmi3yyfHOR1lNbanE2ZXMt1NC/k8uXL0dLSov8cPnw4Y14i6lt4/BP1PzldRoxEEvezfOc738Hq1av19ePGjcOFF16I5uZmvPzyy4hGc7//Y8SIEbjrrrv09EMPPYRJkybh6NGj2L9/P37wgx/g97//vR6EaXw+HyorK/W08RS9dl9WdXW16bKnz+cz7SP5tL5WLpe60pFlGbIsZ9xORH0Xj3+i/ienM1uTJk0C0H6TerIJEyYAAM4555zcWpXGoEGDcN555+npbdu2AQAmTpxoynfgwIGMaS2vLMsYN25cl8oYy+VSFxEREfVvOQVbP/7xjyGEwOuvv45YLGbapqoqXnvtNdhsNqxYsSLrfb/55psp94MBiXug/t//+396WrtMN3PmTNN/iS+99JK+XFdXh3379unpK6+8Ul+ePXu2vrxt2zbT/VjG0eOHDh2qD1Caa11ERETUf+V0GbGhoQEXXXQRtm3bhm9+85u47rrrMGjQIHz99dfYuHEj6urqcMUVV+DLL7/Es88+ayp74403drjvxx9/HK+//jpmzpyJs846Cy6XC/X19fjd736HY8eO6fm+/e1vA0hcrlu8eDEee+wxAMDKlSvR3NyMIUOG4JlnntHzjxw5EjfccIOeXrp0KVavXg2fzwe/349p06Zh3rx5qKurMwVRy5Ytg91u71ZdRERE1H91a7oe47APmnTrjFRV7XDfV199Nf74xz92mGfSpEnYsmWLPq1PKBTC7Nmz0475BQCVlZXYvHkzzj33XNP6V199FXPnzjU9hm10/fXXY926dbDZ2k8A5lpXR7TpOj779FNUeVxdLtdVxTBtT7JinMbHqDeMs2WF3jTOVqH4/X5cfN5kTtdTBIp5ap/O9IWpf3rjtD/pZDPOVr6m68npMqJGkqSUoCrdOiD1yb1Mbr/9dnz/+9/HpEmTMGjQIDgcDpSWlmLUqFGYPXs2nnnmGfztb38zzZ9YVlaGN954A08++SSmTp2K8vJyyLKMsWPHYsmSJdi7d2/a4Gf27NnYvXs3Fi5ciBEjRsDpdKKqqgoXX3wxNmzYgPXr15sCre7URURERP1Tzme2cqpMkjo9s9Uf8cxW8eGZLdLwzFbx4JmtnsUzWwWeiDoej+dcIREREVF/0q3LiERERETUsZwnotYcOXIEf/3rX9HQ0ICpU6dyfCkiIiIig5yDLZ/Ph8WLF+P555/Xb35fuXIl9u/fj3vuuQeSJGH79u0YPnx43hpLRERE1NvkFGwpioJLLrkEO3fuTBnq4YorrsCCBQsQiUTwhz/8AUuWLMlfa/uBmGSHQ/TNhwh6+qb4Yrzpvb/dkB5Qet/rDfbCNvc2ve3G975ws3uyvnLzO5DdDfCFktM9W0888QTee++9tNu8Xi8uvPBCfYR5IiIiov4sp2Brw4YNAICqqiq88cYbKdu1uROT5w4kIiIi6m9yCrb2798PSZKwYMECzJw5M2V7dXU1gMTN80RERET9WU7BVjSauIehsrIy7fbGxkYAnU/NQ0RERNTX5RRsDR06FADSzg8YCoXw8ssvAwCfRCQiIqJ+L6dga/r06RBCYMeOHZg1a5a+ftOmTZgyZQoOHjwISZIwffr0vDWUiIiIqDfKKdi64447YLcn5tvbvHmzPuzD22+/jY8++ggAYLfbOewDERER9Xs5BVuTJk3Co48+CgBInsdaCAFJkvDoo49yNHkiIiLq93KeG3HJkiV45513cM0112DgwIGw2+2oqanBVVddhe3bt+P222/PZzuJiIiIeqVuzY14/vnn4/zzz89XW4iIiIj6nJzPbGmamprQ1NSUj7YQERER9Tk5BVtvvfUWZs2aBbfbjUGDBmHQoEFwu92YNWtW2uEgiIiIiPqrrIItIQTuuOMOXHbZZdi8eTNCoRCEEBBCIBQKYfPmzZg5cybuuOMOq9pLRERE1KtkFWzV1tbiv/7rv/QnELUhH4zLQgg8/vjjqK2tzWMziYiIiHqnLt8gf+TIEdx3332moGrSpEkYN24chBD45JNP8MEHH0CSJAghcN9992HhwoU46aSTLGs8ZRaT7D3dBABAMBwpeJ1+xfo6A5Go5XV02gal59vQFS098BnIp2ABPk/FJi51nqeYBRR/TzchhV8J9HQTuiXQS9rvjwTzu79oKC/76fKZrTVr1iAWiwEAxowZg507d+L999/H888/j40bN+Lvf/87/va3v2HMmDEAgFgshqeffjovjSQiIiLqrbocbL3zzjsAAIfDgddeew3f/OY3U/JMnjwZf/rTn+BwOExliIiIiPqrLgdbBw4cgCRJuOyyyzBu3LiM+caPH4/LL78cQgh89tlneWkkERERUW/V5WCrsbERAHD22Wd3mlfLo5UhIiIi6q+6HGyFQombxCoqKjrNW15eDgAIBvN7oxoRERFRb9PlpxGj0SgkScLOnTvx7LPPdph3586dAABVVbvXOiIiIqJeLuu5ETdu3IiNGzda0RYiIiKiPieniai1QU0zMQ52SkRERNSfZRVsdRZkZZuPiIiIqK/rcrD19ttvW9kOIiIioj6py8HW9OnTrWwHERERUZ+U1UTURERERJQdBltEREREFmKwRURERGShnIZ+IGvFJHtPN8EkGI70WN1+xfq6A5Go5XXodSmFq6ulB9+3jvgjsZ5uQlr+aPp2hQJKgVtinXgvGpUnoPh7ugk6vxLo6SakCBRhm/yRnp81piXsy+v+AuH8vCae2SIiIiKyEIMtIiIiIgsx2CIiIiKyEIMtIiIiIgsx2CIiIiKyEIMtIiIiIgsx2CIiIiKyEIMtIiIiIgsx2CIiIiKyEIMtIiIiIgsx2CIiIiKyEIMtIiIiIgsx2CIiIiKyEIMtIiIiIgs5eroB1M4u1J5uAoLhSEHq8SuFqQcAApGo9XUo1tdh1FKg98nIH4kVvs5o4evsLeJST7egcwHF39NN6JRfCfR0E3SBImqLPxLskXpbwr6C1+mPhDJuC0Yzb8sGz2wRERERWYjBFhEREZGFGGwRERERWYjBFhEREZGFGGwRERERWajog61YLIZzzjkHkiTpPwsXLkzJp6oqVq9ejQsuuABVVVUoKyvDqaeeiqVLl+Lo0aMZ9//JJ5/g5ptvxujRoyHLMmpqanDppZfihRdeyFgm17qIiIio/yn6oR9qa2vx/vvvd5gnHA7jqquuwpYtW0zrP/30U6xatQq/+c1vsHnzZkyePNm0fdOmTZgzZw7C4bC+rqmpCW+99RbeeustbNq0CWvWrIEktT9jnWtdRERE1D8V9ZmtPXv24MEHH+w037333qsHP3a7HbfccgtWrFiBkSNHAgCam5sxd+5cBALtY5jU19dj/vz5eqB1xhln4IEHHsC8efP0POvWrcMTTzzR7bqIiIio/yraYCsajWLBggWIRqOYPHkyhg0bljbf8ePH8fjjj+vpZcuW4amnnsL999+PLVu26GelDh48iPXr1+v5Vq1ahZaWFgCA1+vFjh078JOf/AQbNmzA/Pnz9Xy1tbVQVbVbdREREVH/VbTB1sMPP4zdu3dDlmWsW7cODkf6K55btmwxXQacM2eOvjx+/HhMmDBBT7/yyitpl2fMmIHq6uq0+6ivr8euXbu6VRcRERH1X0UZbO3evRuPPPIIAOCBBx7AGWeckTHvnj17TOkxY8ZkTGt5FUXBxx9/3KUyxnK51JWOoihobW01/RBR/8Djn6j/KbpgKxqNYuHChYhGozjvvPNw5513dpi/qanJlC4vLzelvV6vvtzY2AggcTlQCNGlMsZyudSVTm1tLSoqKvSfESNGZMxLRH0Lj3+i/qfogq0HH3wQH3zwAUpLS7F27VrY7fYO8xuDps7S2j1V2ZTJtZzxCcZky5cvR0tLi/5z+PDhjHmJqG/h8U/U/xTV0A+HDx9GbW0tgMQ9W+PHj++0zIABA0xpn8+HyspKPW08Ra/dl1VdXQ1JkvTgyOczzzKefFpfK5dLXenIsgxZljNuJ6K+i8c/Uf9TVMFWU1MTYrEYAODOO+/MeAlx3bp1WLduHRYsWIDLL7/ctO3AgQM455xzTGnNxIkTASS+7MaNG6fft2XMky6tldN+Z1NXb+MqdaasC4Yjea/HI6fWAwB+Jf91uZ0lKesCkWh+65BT6wCAgJLfejQVSe9TiwXvUTKPs/3rwh+JWV4fAHhKzF9R/mhh6u0NbCJ1XTzzCfUe4ZY9OZcNKP48tiQzj+zuVnm/kr9hftzdaEsgj+0AAI/TlXUZfyTY7XorSr2dZwLQEvZ1nqmLPM6yjNukSJoDLQdFdxkxWzNnzjT9l/jSSy/py3V1ddi3b5+evvLKK/Xl2bNn68vbtm0z3Y9lHD1+6NCh+gCludZFRERE/VdRndmqrKw0Dadg9PrrryMYTETNo0aNwuTJkzFlyhRUV1dj8eLFeOyxxwAAK1euRHNzM4YMGYJnnnlGLz9y5EjccMMNenrp0qVYvXo1fD4f/H4/pk2bhnnz5qGurs4URC1btky/byzXuoiIiKj/kkTyXd5FavTo0fjiiy8AAAsWLMDatWv1baFQCLNnz8bWrVvTlq2srMTmzZtx7rnnmta/+uqrmDt3LhRFSVvu+uuvx7p162CztZ8AzLWujrS2tqKiogJf/ONjuMoru1yuUKy4jJiJFZcR08n3ZcSM9Vh0GTFZIS4jGhXqMmJKvT1wGTEUCOD/u2YmWlpaUp5Azgft+G84/Dkqvd3bf7FdRuyOQl1G7K58XkbsjnxfRsxFPi4jdlU+LyN2JOAP4qpp13b7+O/1lxEBoKysDG+88QaefPJJTJ06FeXl5ZBlGWPHjsWSJUuwd+/etMHP7NmzsXv3bixcuBAjRoyA0+lEVVUVLr74YmzYsAHr1683BVrdqYuIiIj6p15zZqsv45mtdjyzlRue2bIOz2z1DJ7Zyg7PbFmDZ7aIiIiIegEGW0REREQWYrBFREREZCEGW0REREQWYrBFREREZCEGW0REREQWYrBFREREZCEGW0REREQWYrBFREREZCEGW0REREQWcvR0A6j4uUqdaddbMY2PR05fVya5Tu/jdpZkXSaXKX7ccg715DDFT0WG96gzuU7z43Fm99WRr+l9PCVZ1tsD0/v0JFsOk68V6xQ/btlTsLq6MzWQR3bnsSWpujodkNvCdnR1KiCP05W3Ojub+qei1Ju3ujRWTgHEM1tEREREFmKwRURERGQhBltEREREFmKwRURERGQhBltEREREFmKwRURERGQhBltEREREFmKwRURERGQhBltEREREFmKwRURERGQhBltEREREFmKwRURERGQhBltEREREFmKwRURERGQhR083gHovV6kzp3LBcCRvbfDI2bXBr+Ret9tZknWZQCSafT1y1+sJKNnv36gii/ewpRvvm8eZ3VeNPxLLuS5TvSXd/4qzldjz0JLiZRM93YKEuNRzdbtlT972FVD8edsXAHhkd9725VcCOZVz56ENgSzr9jhd3a7THwlmlb+i1Juyzh7LzzkpntkiIiIishCDLSIiIiILMdgiIiIishCDLSIiIiILMdgiIiIishCDLSIiIiILMdgiIiIishCDLSIiIiILMdgiIiIishCDLSIiIiILMdgiIiIishCDLSIiIiILMdgiIiIishCDLSIiIiILOXq6AdROlewAAIdQ9XWxtnV9iavU2e19BMORnMp55Nzr9ivZ1+l2lmRdJhCJdn3/cg77V7q+f6OKLN+3lhzfIwDwOHP7avJHYjnXST3LJrpXPi7lpx3d5ZY9OZULKP48tySVR3ZnXcavBPJStzuHugPdrNvjdHWrPACgJN79fYBntoiIiIgsxWCLiIiIyEIMtoiIiIgsxGCLiIiIyEIMtoiIiIgsxGCLiIiIyEIMtoiIiIgsxGCLiIiIyEIMtoiIiIgsxGCLiIiIyEIMtoiIiIgsxGCLiIiIyEIMtoiIiIgsxGCLiIiIyEKOnm5AOpIkdZrn8OHDGD58uJ5WVRW//vWvsX79etTV1SEcDmP48OGYNWsW7rnnHpx00klp9/PJJ5/g5z//ObZu3YqjR4/C6/Xi7LPPxi233IJrr702bZlc6+oKh1A7TBMQk+xwlToLWmcwHIFHtr5OvxKB21liyb4DkSgAwC1bs3+9HiVRT0UB3qOWcMSU9jjz/5Vmixbl1yQlsYnsy8Q7/1NTMG7Zk1O5gOLPc0vMPLI76zJ+JZCXut051K0J5KkN+SIJIXL4iFor22ArHA7jqquuwpYtW9Lmra6uxubNmzF58mTT+k2bNmHOnDkIh8Npyy1YsABr1qwxtSfXujrS2tqKiooKfPbpp6jyuLpcrr+KSfaC1xlM+qNuFb9iXT1asGU1LdgqhORgywrBgB/zZ05HS0sLysvL875/7fhvOPw5Kr353z9lVkzBVq6sDrZyka9gqzvyFWz5fX5MOfuibh//Rf0vW1VVFX70ox+l3VZZWakv33vvvXrwY7fbcdNNN+Gkk07C2rVrcejQITQ3N2Pu3LnYu3cv3O5EpFxfX4/58+frgdYZZ5yBefPmYd++fXj++ecBAOvWrcOUKVNw++23d6suIiIi6r+KOtgqLy/HXXfd1WGe48eP4/HHH9fTy5Ytw8MPPwwAmD9/Pk4//XQIIXDw4EGsX78eixYtAgCsWrUKLS0tAACv14sdO3aguroaAGCz2fDcc88BAGpra7Fo0SLY7fac6yIiIqL+q6hvkP/qq68wYsQIlJSUoKqqChdeeCGefPJJxGIxPc+WLVtMlwHnzJmjL48fPx4TJkzQ06+88kra5RkzZuiBVvI+6uvrsWvXrm7VRURERP1XUZ/ZUhQFX375JQDgxIkT+Mtf/oK//OUveP755/HGG2+grKwMe/bsMZUZM2ZMSvrDDz8EAD2voij4+OOPOyxjtGfPHpx77rk51ZXpdSmKoqe1M2w+nw923hDfKbUP37MViFh5z1as80x5ECzgPVtBC+9x0+sIJO79yNftrR0d/7nc5E256xP3bEV6/v6oZAEl2NNNQDBf92z583P8F22wNXHiRJx33nkYPnw4vvrqKzz33HM4ceIEAOCdd97BT3/6U/ziF79AU1OTqVzyDWxer1dfbmxsBJC49GjsuI7KGMvlUlc6tbW1uP/++1PWn3X22RnLEFHP8vl8qKio6PZ+Mh3/Y86Y2O19E5E1unv8F2Ww9dFHH+G0004zrfvxj3+MSZMmoaGhAQCwdu1a/PznP0+JNjtKa08VZlMm13IdPVG5fPly/PCHP9TT8Xgczc3NGDBgQNpyra2tGDFiBA4fPmzJ01B9DfsrO+yvjgkh4PP5MHTo0Lzsj8e/tdhf2WF/dSxfx39RBlvJgRYADB06FHPmzMGvfvUrAEBDQwMaGxsxYMAAUz6fz2d6UrG1tVVf1u7Lqq6uhiRJenDk8/lM+zCWMZbLpa50ZFmGLMumdcb9ZFJeXs6DIQvsr+ywvzLLxxktDY//wmB/ZYf9lVk+jv+ivkE+WfKZJJvNhokTzafeDxw4kDGt5ZVlGePGjetSGWO5XOoiIiKi/q3ogq3/+3//L1577bWUwOrIkSN4+eWX9fRJJ52E6upqzJw50/Rf4ksvvaQv19XVYd++fXr6yiuv1Jdnz56tL2/bts10P9YLL7ygLw8dOlQfoDTXuoiIiKj/KrrLiHV1dbj11lsxZswYzJw5EyNGjEB9fT02bNiA48eP6/kWL14MSZJQXV2NxYsX47HHHgMArFy5Es3NzRgyZAieeeYZPf/IkSNxww036OmlS5di9erV8Pl88Pv9mDZtGubNm4e6ujpTELVs2TLY7Ymn33Ktq7tkWcZPf/rTlEsPlB77Kzvsr+LG9yc77K/ssL8Ko+im6/nBD36A//zP/+wwz7XXXovf/va3cDgSsWIoFMLs2bOxdevWtPkrKyuxefNmnHvuuab1r776KubOnWt6DNvo+uuvx7p162CztZ8AzLUuIiIi6p+KLtg6duwYXnnlFbz22mv46KOPcOzYMQSDQdTU1GDy5Mn413/9V1xzzTUp5WKxGH7961/j2WefRV1dHRRFwfDhw3HFFVfgnnvuwbBhw9LWt3//fn0i6mPHjsHtdusTUc+bNy9tmVzrIiIiov6n6IItIiIior6k6G6QJyIiIupLGGwRERERWYjBFhEREZGFGGwRERERWYjBFhEREZGFGGwRERERWYjBFhEREZGFim66Hsrdm2++iY8++giHDx+GLMuYM2cOhg0bhkGDBkEIAUmSerqJRYX9lR32V3Hj+5Md9ld22F/dJKhPWLRokRgyZIiQJEn/GTFihLjmmmvEe++9J4QQIh6P93Ariwf7Kzvsr+LG9yc77K/ssL+6j8FWH3DDDTcISZKE3W43HQzaT01Njdi2bZsQggeEEOyvbLG/ihvfn+ywv7LD/soPBlu93MMPPywkSRKyLIt/+Zd/EY8//rh48MEHRU1NjXA4HPoBUVpaKt555x0hRP8+INhf2WF/FTe+P9lhf2WH/ZU/DLZ6Mb/fLy677DIhSZI4/fTTxQcffKBve+WVV8S0adOE0+nUD4jRo0eLPXv29GCLexb7Kzvsr+LG9yc77K/ssL/yi8FWL/bRRx8Jl8slJEkSZ599tmhqajJt//Of/ywuvfRS/YCQZVn84Ac/EKFQSKiq2kOt7jnsr+ywv4ob35/ssL+yw/7KLw790ItVVFSgoqICAHDkyBHs3r0bABCNRgEAF110Ef73//7f+MY3vgFJkhCJRLB582bEYjHYbP3vrWd/ZYf9Vdz4/mSH/ZUd9lee9XS0R7mJx+Oivr5ejBs3Tj+NO2HCBPH1118LIYRQFEXPu2HDBtMNjdu3b++pZvcY9ld2otEo+6uI8fOcHfZXdnj85x/Dz15KkiQMHToUt956q76urq4Ol112GXw+H5xOp/4fyLx58zBnzhw9XzgcLnh7e8KBAwf0ZfZX52688UY89dRTAACHw8H+KmL8PHeOx392ePxbrKejPeqa+vp68fbbb4sPP/xQHDlyRF+/f/9+MWvWLNOjuZMmTRJffPGFnufYsWNi6tSpQpIkMXbsWHH06NGeeAkFdfnllwtJklLGgPn444/ZX2nMmTNHSJIkBgwYIN5++219PfurOPD4zw6P/+zw+LceR5DvBR588EG8/vrr+Otf/4qKigpcfvnluPPOOzF58mSMHz8eN9xwA7766iv8/e9/h81mwwcffICZM2firrvuwogRI/D+++/jq6++AgCceeaZcLlcPfyKrHXddddh8+bNAIDf//73OPPMM1FaWgoAGDduHK6//nr2l8F3v/tdvPzyy3A4HAgGg9i5cydmzJgBINFf/Hz1LB7/2eHxnx0e/wXS09Eedez6669PGUSurKxM3H333aYnPn7961+LKVOmmPJ5vV5ht9uF1+sVkiSJYcOGiX/84x89+GqsN3fuXL2Pbr/9drF79+60+VavXs3+EkJce+21KQMWjhs3LuXJI36+egaP/+zw+M8Oj//CYbBVxDoauff0008XiqKIWCym53/55ZfF/PnzU/K6XC5x5plniv379/fgq7Ge9sVRWloqbr31VvHll1+KcDgs/vGPf4i1a9eKd955R+zcuVPP//vf/15873vf67f9pf1hcrlc+qUCSZJEZWWleOWVV4QQQkQiET3/H//4x379+So0Hv/Z4fGfHR7/hcVgq0jdeeed+hfHvHnzxEsvvSSeffZZ/QN+ySWXCCGEOHr0qOkaeWtrq3juuefEDTfcIC644AIxd+5c8R//8R/i8OHDPfVSCuK73/2u/h/t97//fXH06FFRX18v5syZI0aPHi0kSRJut1sMHDhQ/Md//Idezufz9cv+0v4wlZWVicWLF4sdO3aIK6+8Uv983XrrrXpe4xmUQCDQL/ur0Hj8Z4fHf3Z4/Bceg60itGbNGjFw4EBRWloqFixYoN/kuWPHDjF48GBhs9nEeeedJyZPniyqq6vFxIkTxdNPP93Dre45M2bMEJIkCafTKS644AKhKIqor68XI0aM0L88HA6HKCkp0dMPPfRQTze7xxj/MN12223iww8/FEIIcd999wlJkoTNZhPDhw83XYLhFByFw+M/Ozz+s8Pjv2cw2Coy8Xhc/OQnPxGSJIkLLrhA/PnPf9a3zZs3L+UUrvFn/fr1el5VVfUDpK8fKBdeeKGQJEmUlJSIsrIy8fDDD4tvfvOb+jqn0ylkWU65HPO73/1O30d/6a+HHnpI/8N0++23m6bX+OKLL8T48eP1L9znn38+4376S38VGo//7PH47zoe/z2HwVYRam1tFTNmzBCPPfaYvu66667T/0OrqakRs2bNEqNGjRIul0ufEHTmzJkiFAr1mw+/8fT2Nddco9/fUlZWJiRJEieffLK4++67xd69e8WuXbvEkiVLxIABA/T/cBcvXiyE6F9fFnv37hXf/va3xR133GH6oo3H46a50CRJEv/0T/8kGhsbe7C1/ROP/67h8Z89Hv89h8FWkdG+QIwj9L7//vvCZrMJSZLE9ddfLzZt2iSEEOLDDz8U5557rn5wnHLKKcLv9/erL49oNKovX3311foXbnV1tVixYoU+4rEQQnz66aem/rr00kuFEP3ny1b7bH399dfi888/19fH43G9D9544w19rrNRo0aJTz75RM9D1uPxnx0e/13H479ncQT5ImOz2RCPx+F0OvV1Z5xxBv74xz/i7rvvxu23344rrrgCADBhwgRcddVVkCQJAHDaaafB7Xbr6f7A4XAgEokASIyp853vfAfxeBynnXYabr75ZgwcOBDxeByqqmLs2LG4/PLL9f4ZNmwYAPSb/tLmKxs4cCBGjx6tr5ckSe+DU045BWPGjAEAHDp0CP/n//wfPQ9Zj8d/dnj8dx2P/57FQU172CeffIJPP/0UsVgMsizjsssu0w+KeDwOm80GWZZxxRVX4MILL9QnBgUSk4O+/vrrEEKgoqJC/xIWQvTZgyNdfxn/ML300ku48sor8b3vfQ8jR45EPB6HJEmw2Ww4evQoNm/erPfXxRdfDKD/9ZdG+3wZjR07Ftdccw1+9rOfQZIk7N27F36/Hx6Pp9BN7xd4/GeHx392ePwXkZ47qUZ33XWX+MY3vmG6afPyyy8Xa9asESdOnBBCCNM4OkYNDQ3iF7/4hf7EzQUXXGCaxqMv6kp/abR+034fO3ZM/PKXvxQjR47U70dgf5nve9EuFWhPvWll/vCHP/RI+/s6Hv/Z4fGfHR7/xYXBVg/5l3/5l5SnibT7MkaMGCG+//3vi4aGBiGE+YAQQojPPvtM3HvvveKUU04RkiSJoUOH6tfW+6pc+0tVVbF3715x00036ePtDBkyRHz88cc99VIKojufr3A4bLq35fvf/75pcEPqPh7/2eHxnx0e/8WHwVYPWLp0qZCkxICFM2fOFLfccou45JJLTAdEeXm5+Nd//VfTtAlffvml+M1vfiNGjhwpysvL9ZsYP/roox58NdbLtb927dol7rnnHv1pLUmSxIQJE/r8F20u/aX9V6t98T733HN6Po4MnV88/rPD4z87PP6LE4OtAnvvvffE2LFj9VO6+/btE0II8dVXX4n/9b/+l+k/kUGDBokHH3xQhEIhIUTiKRJtuoSKigoxffp08emnn/bky7FcLv0VDof1PPfcc4+w2WxizJgx4vrrrxcHDx7syZdjue58vozeeecdMWzYMLF3795Cv4Q+jcd/dnj8Z4fHf/FisFVga9eu1T/sd9xxhxCi/b+KlStXppz6nTJliqivr9fLf/rpp+JHP/qReOyxx0zTdPRV3e2v+vp6sW7dOvHuu++m3NfRF3Wnv5If725paSls4/sBHv/Z4fGfHR7/xYtDPxTY8ePH9eW6ujoEg0FIkoSWlhZ89NFHABKPcFdUVECSJOzcuRPr1q0DkHh6ZOzYsfjJT36C2267DUOGDOmR11BI3ekvIQSGDh2KG2+8Ed/61rdMT3L1Vd3pLynpiSyv11u4hvcTPP6zw+M/Ozz+ixeHfigw7RFaSZLw5z//GXPmzMG3v/1t7N69G2+99RbsdjtWrFiBt956C8888wwA4LPPPtPLAEBpaWnPNL4HdKe/+qN89lfyly91H4//7PD4zw6P/yLW06fW+gPj0x4NDQ3in//5n003KxqXJ0yYIFpaWsSrr76qTztx9dVXm+ai6uvYX9lhfxU3vj/ZYX9lh/3VO/AyooW2bNkCoH1UaACoqqrCTTfdhH/6p3+CEELPa7fbceaZZ2LTpk0oLy9HJBJBNBoFAAwePBg2m63P/6fB/soO+6u48f3JDvsrO+yvXqYnI72+bPbs2UKSJPGrX/1KX6fN4xWJRMT//M//iCVLlohp06aJa665RtTW1uo3vB46dEif52vgwIHij3/8oxCib89Pxf7KDvuruPH9yQ77Kzvsr96HwZYFvvOd75ie+HjyySf1bcaJU4UQwufzCSHaRzr+8ssvxS9+8Qt9AL6pU6f2+aeO2F/ZYX8VN74/2WF/ZYf91Tsx2MozbUA5h8NhGkzPeEBkuj7+97//XVx99dXi5JNPFpIkiZNOOqnfDMDH/uoa9ldx4/uTHfZXdthfvReDrTx6/vnnxUknnSScTqc466yzxIABAzL+B5I8RcJXX30l5s2bp+c988wz+/yBwP7KDvuruPH9yQ77Kzvsr96NQz/kSSgUwtatW/HVV1/htNNOw7Jly7B//36sXr0aX3/9NQDgtttuAwAsWrQINpsNsVgMDkfiLRg8eDBuuukm1NTUAADuuusujBo1qmdeTAGwv7LD/ipufH+yw/7KDvurD+jpaK8v2blzp5AkSTz22GNCiMToxcuXLzfNoJ78H8ihQ4fEb37zGxEIBIQQiUd3teW+jv2VHfZXceP7kx32V3bYX70bg608+/LLL03pQ4cOiR/96EcpB8Qzzzwj4vG4+NGPfiTcbreYPn16v5wegf2VHfZXceP7kx32V3bYX70Xgy2LaE9/CJH5gLj88svFKaecoqeTD6T+hP2VHfZXceP7kx32V3bYX70Pg60COXTokFi+fLkYMmSI/uEvKSkRkpSYff2jjz7q6SYWFfZXdthfxY3vT3bYX9lhfxU/BlsF1NTUJO644w7hdruF0+kUkiSJ6upqsW/fvp5uWlFif2WH/VXc+P5kh/2VHfZXceN0PQUg2qZNsNvtiMfjkGUZ0WgUVVVV+Mtf/oLTTz+9h1tYXNhf2WF/FTe+P9lhf2WH/dU7cOiHApAkCQ0NDXj00Ufx6quv4vjx46iursaOHTt4IKTB/soO+6u48f3JDvsrO+yv3oHBVoHE43G8++67OHTokP4fx2mnndbTzSpa7K/ssL+KG9+f7LC/ssP+6gV68hpmf7Nr1y4xefJk3qzYReyv7LC/ihvfn+ywv7LD/ipukhBtF3ypIBRFgSzLPd2MXoP9lR32V3Hj+5Md9ld22F/Fi8EWERERkYX4NCIRERGRhRhsEREREVmIwRYRERGRhRhsEREREVmIwRYRERGRhRhsEREREVmIwRYRERGRhRhsEREREVmIwRYRERGRhRhsEREREVno/wcCn/tqZyDOiQAAAABJRU5ErkJggg==", "text/plain": [ "
" ] @@ -2973,7 +2505,7 @@ "source": [ "fig, ax = plot_hovmuller(fsize = 14)\n", "\n", - "levels_temperature = np.arange(-0.1, 0.11, 0.01)\n", + "levels_temperature = np.arange(-0.3, 0.31, 0.01)\n", "\n", "cf_temp = temperature_hov.cf.plot(ax = ax[0], levels = levels_temperature,\n", " x = 'time', y = 'vertical',\n", @@ -2983,7 +2515,7 @@ " add_colorbar = False, label = None, cmap = cm.balance, extend = 'both')\n", "\n", "\n", - "levels_salinity = np.arange( -0.01, 0.011, 0.001)\n", + "levels_salinity = np.arange( -0.03, 0.031, 0.001)\n", "\n", "cf_salt = salinity_hov.cf.plot(ax = ax[1], levels = levels_salinity,\n", " x = 'time', y = 'vertical',\n", From 814d024c0a5447ffd3f896aedbb5634f82c99404 Mon Sep 17 00:00:00 2001 From: "Navid C. Constantinou" Date: Mon, 14 Oct 2024 22:09:57 +1100 Subject: [PATCH 4/4] minor tweaks --- Recipes/Hovmoller_Temperature_Depth.ipynb | 518 +++++++++++----------- 1 file changed, 264 insertions(+), 254 deletions(-) diff --git a/Recipes/Hovmoller_Temperature_Depth.ipynb b/Recipes/Hovmoller_Temperature_Depth.ipynb index b009a221..d01b9870 100644 --- a/Recipes/Hovmoller_Temperature_Depth.ipynb +++ b/Recipes/Hovmoller_Temperature_Depth.ipynb @@ -4,9 +4,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# Hovmoller Temperature Depth\n", + "# Depth-time Hovmoller plot\n", "\n", - "This notebook shows how to calculate a depth-time Hovmoller plot of 30-year anomalies of globally averaged of conservative temperature, practical salinity from ACCESS-OM2 between Jan 1989 and Dec 2018." + "This recipe shows how to calculate a depth-time Hovmoller plot of 1-year anomaly of globally-averaged of conservative temperature and practical salinity from ACCESS-OM2 between Jan 1989 and Dec 2018." ] }, { @@ -41,7 +41,7 @@ "
\n", "
\n", "

Client

\n", - "

Client-713b0821-8888-11ef-ba48-00000086fe80

\n", + "

Client-007bc949-8a1c-11ef-bf82-0000008cfe80

\n", "
\n", - " Comm: tcp://127.0.0.1:37239\n", + " Comm: tcp://127.0.0.1:37689\n", " \n", " Total threads: 1\n", @@ -2282,7 +2282,7 @@ "
\n", - " Dashboard: /proxy/46619/status\n", + " Dashboard: /proxy/45407/status\n", " \n", " Memory: 3.93 GiB\n", @@ -2290,13 +2290,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:39649\n", + " Nanny: tcp://127.0.0.1:32985\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-ahto41a1\n", + " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-rbchatc_\n", "
\n", "\n", " \n", @@ -76,7 +76,7 @@ " \n", "
\n", "

LocalCluster

\n", - "

2d681f40

\n", + "

f8fa9aea

\n", "
\n", " \n", "
\n", @@ -113,11 +113,11 @@ "
\n", "
\n", "

Scheduler

\n", - "

Scheduler-2763334b-d324-49d1-9de6-2a02920673d9

\n", + "

Scheduler-01f85851-adcc-40b4-a1c7-0ddde083432b

\n", " \n", " \n", " \n", "
\n", - " Comm: tcp://127.0.0.1:42423\n", + " Comm: tcp://127.0.0.1:46165\n", " \n", " Workers: 48\n", @@ -159,7 +159,7 @@ " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -204,7 +204,7 @@ "
\n", - " Comm: tcp://127.0.0.1:42889\n", + " Comm: tcp://127.0.0.1:34597\n", " \n", " Total threads: 1\n", @@ -167,7 +167,7 @@ "
\n", - " Dashboard: /proxy/41673/status\n", + " Dashboard: /proxy/41281/status\n", " \n", " Memory: 3.93 GiB\n", @@ -175,13 +175,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:33177\n", + " Nanny: tcp://127.0.0.1:42705\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-l2rsvacl\n", + " Local directory: /jobfs/126791498.gadi-pbs/dask-scratch-space/worker-aah3cxuv\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -249,7 +249,7 @@ "
\n", - " Comm: tcp://127.0.0.1:40391\n", + " Comm: tcp://127.0.0.1:42711\n", " \n", " Total threads: 1\n", @@ -212,7 +212,7 @@ "
\n", - " Dashboard: /proxy/35519/status\n", + " Dashboard: /proxy/45281/status\n", " \n", " Memory: 3.93 GiB\n", @@ -220,13 +220,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:43447\n", + " Nanny: tcp://127.0.0.1:37063\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-01nlrgvn\n", + " Local directory: /jobfs/126791498.gadi-pbs/dask-scratch-space/worker-xtvy0wq2\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -294,7 +294,7 @@ "
\n", - " Comm: tcp://127.0.0.1:35897\n", + " Comm: tcp://127.0.0.1:38195\n", " \n", " Total threads: 1\n", @@ -257,7 +257,7 @@ "
\n", - " Dashboard: /proxy/37381/status\n", + " Dashboard: /proxy/44757/status\n", " \n", " Memory: 3.93 GiB\n", @@ -265,13 +265,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:42339\n", + " Nanny: tcp://127.0.0.1:44595\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-swhv7m8_\n", + " Local directory: /jobfs/126791498.gadi-pbs/dask-scratch-space/worker-i55om_hi\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -339,7 +339,7 @@ "
\n", - " Comm: tcp://127.0.0.1:44645\n", + " Comm: tcp://127.0.0.1:33047\n", " \n", " Total threads: 1\n", @@ -302,7 +302,7 @@ "
\n", - " Dashboard: /proxy/43143/status\n", + " Dashboard: /proxy/36495/status\n", " \n", " Memory: 3.93 GiB\n", @@ -310,13 +310,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:42663\n", + " Nanny: tcp://127.0.0.1:33947\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-cuho5ie8\n", + " Local directory: /jobfs/126791498.gadi-pbs/dask-scratch-space/worker-gfb9zek8\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -384,7 +384,7 @@ "
\n", - " Comm: tcp://127.0.0.1:41375\n", + " Comm: tcp://127.0.0.1:40579\n", " \n", " Total threads: 1\n", @@ -347,7 +347,7 @@ "
\n", - " Dashboard: /proxy/35711/status\n", + " Dashboard: /proxy/43293/status\n", " \n", " Memory: 3.93 GiB\n", @@ -355,13 +355,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:38939\n", + " Nanny: tcp://127.0.0.1:35391\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-2r5kwvx4\n", + " Local directory: /jobfs/126791498.gadi-pbs/dask-scratch-space/worker-58xbdpno\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -429,7 +429,7 @@ "
\n", - " Comm: tcp://127.0.0.1:40125\n", + " Comm: tcp://127.0.0.1:37283\n", " \n", " Total threads: 1\n", @@ -392,7 +392,7 @@ "
\n", - " Dashboard: /proxy/41045/status\n", + " Dashboard: /proxy/43651/status\n", " \n", " Memory: 3.93 GiB\n", @@ -400,13 +400,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:45239\n", + " Nanny: tcp://127.0.0.1:37199\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-x66t08hy\n", + " Local directory: /jobfs/126791498.gadi-pbs/dask-scratch-space/worker-q7v48mpm\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -474,7 +474,7 @@ "
\n", - " Comm: tcp://127.0.0.1:38469\n", + " Comm: tcp://127.0.0.1:44365\n", " \n", " Total threads: 1\n", @@ -437,7 +437,7 @@ "
\n", - " Dashboard: /proxy/45305/status\n", + " Dashboard: /proxy/44771/status\n", " \n", " Memory: 3.93 GiB\n", @@ -445,13 +445,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:38049\n", + " Nanny: tcp://127.0.0.1:41615\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-qpj4f6gd\n", + " Local directory: /jobfs/126791498.gadi-pbs/dask-scratch-space/worker-e4pqlldt\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -519,7 +519,7 @@ "
\n", - " Comm: tcp://127.0.0.1:44321\n", + " Comm: tcp://127.0.0.1:37899\n", " \n", " Total threads: 1\n", @@ -482,7 +482,7 @@ "
\n", - " Dashboard: /proxy/36123/status\n", + " Dashboard: /proxy/34415/status\n", " \n", " Memory: 3.93 GiB\n", @@ -490,13 +490,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:46713\n", + " Nanny: tcp://127.0.0.1:38381\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-ebty0okd\n", + " Local directory: /jobfs/126791498.gadi-pbs/dask-scratch-space/worker-gqvy3eck\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -564,7 +564,7 @@ "
\n", - " Comm: tcp://127.0.0.1:46753\n", + " Comm: tcp://127.0.0.1:33303\n", " \n", " Total threads: 1\n", @@ -527,7 +527,7 @@ "
\n", - " Dashboard: /proxy/35579/status\n", + " Dashboard: /proxy/42115/status\n", " \n", " Memory: 3.93 GiB\n", @@ -535,13 +535,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:33141\n", + " Nanny: tcp://127.0.0.1:43119\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-gbjyp85c\n", + " Local directory: /jobfs/126791498.gadi-pbs/dask-scratch-space/worker-9lr61fqu\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -609,7 +609,7 @@ "
\n", - " Comm: tcp://127.0.0.1:35197\n", + " Comm: tcp://127.0.0.1:43839\n", " \n", " Total threads: 1\n", @@ -572,7 +572,7 @@ "
\n", - " Dashboard: /proxy/40157/status\n", + " Dashboard: /proxy/37771/status\n", " \n", " Memory: 3.93 GiB\n", @@ -580,13 +580,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:44033\n", + " Nanny: tcp://127.0.0.1:46599\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-u0q2fkev\n", + " Local directory: /jobfs/126791498.gadi-pbs/dask-scratch-space/worker-6w_fd03o\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -654,7 +654,7 @@ "
\n", - " Comm: tcp://127.0.0.1:44865\n", + " Comm: tcp://127.0.0.1:41051\n", " \n", " Total threads: 1\n", @@ -617,7 +617,7 @@ "
\n", - " Dashboard: /proxy/42199/status\n", + " Dashboard: /proxy/35977/status\n", " \n", " Memory: 3.93 GiB\n", @@ -625,13 +625,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:40859\n", + " Nanny: tcp://127.0.0.1:33615\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-ik1ahouy\n", + " Local directory: /jobfs/126791498.gadi-pbs/dask-scratch-space/worker-cajmbtz7\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -699,7 +699,7 @@ "
\n", - " Comm: tcp://127.0.0.1:43719\n", + " Comm: tcp://127.0.0.1:41837\n", " \n", " Total threads: 1\n", @@ -662,7 +662,7 @@ "
\n", - " Dashboard: /proxy/43207/status\n", + " Dashboard: /proxy/46321/status\n", " \n", " Memory: 3.93 GiB\n", @@ -670,13 +670,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:41523\n", + " Nanny: tcp://127.0.0.1:42325\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-d_v7ew8y\n", + " Local directory: /jobfs/126791498.gadi-pbs/dask-scratch-space/worker-4n8l05tg\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -744,7 +744,7 @@ "
\n", - " Comm: tcp://127.0.0.1:36351\n", + " Comm: tcp://127.0.0.1:36785\n", " \n", " Total threads: 1\n", @@ -707,7 +707,7 @@ "
\n", - " Dashboard: /proxy/37853/status\n", + " Dashboard: /proxy/36775/status\n", " \n", " Memory: 3.93 GiB\n", @@ -715,13 +715,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:37667\n", + " Nanny: tcp://127.0.0.1:39811\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-qlpvm49m\n", + " Local directory: /jobfs/126791498.gadi-pbs/dask-scratch-space/worker-01v8d4n5\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -789,7 +789,7 @@ "
\n", - " Comm: tcp://127.0.0.1:36895\n", + " Comm: tcp://127.0.0.1:37391\n", " \n", " Total threads: 1\n", @@ -752,7 +752,7 @@ "
\n", - " Dashboard: /proxy/38347/status\n", + " Dashboard: /proxy/34955/status\n", " \n", " Memory: 3.93 GiB\n", @@ -760,13 +760,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:34419\n", + " Nanny: tcp://127.0.0.1:38251\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-cyklk5uw\n", + " Local directory: /jobfs/126791498.gadi-pbs/dask-scratch-space/worker-1gbj3vno\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -834,7 +834,7 @@ "
\n", - " Comm: tcp://127.0.0.1:41429\n", + " Comm: tcp://127.0.0.1:41367\n", " \n", " Total threads: 1\n", @@ -797,7 +797,7 @@ "
\n", - " Dashboard: /proxy/42761/status\n", + " Dashboard: /proxy/37349/status\n", " \n", " Memory: 3.93 GiB\n", @@ -805,13 +805,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:36999\n", + " Nanny: tcp://127.0.0.1:36321\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-lzpq7rzb\n", + " Local directory: /jobfs/126791498.gadi-pbs/dask-scratch-space/worker-9rsmw0m0\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -879,7 +879,7 @@ "
\n", - " Comm: tcp://127.0.0.1:41683\n", + " Comm: tcp://127.0.0.1:42419\n", " \n", " Total threads: 1\n", @@ -842,7 +842,7 @@ "
\n", - " Dashboard: /proxy/39717/status\n", + " Dashboard: /proxy/43657/status\n", " \n", " Memory: 3.93 GiB\n", @@ -850,13 +850,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:43403\n", + " Nanny: tcp://127.0.0.1:34671\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-8vb0muum\n", + " Local directory: /jobfs/126791498.gadi-pbs/dask-scratch-space/worker-ja0i1sw9\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -924,7 +924,7 @@ "
\n", - " Comm: tcp://127.0.0.1:37719\n", + " Comm: tcp://127.0.0.1:45351\n", " \n", " Total threads: 1\n", @@ -887,7 +887,7 @@ "
\n", - " Dashboard: /proxy/33663/status\n", + " Dashboard: /proxy/33509/status\n", " \n", " Memory: 3.93 GiB\n", @@ -895,13 +895,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:36495\n", + " Nanny: tcp://127.0.0.1:33977\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-6vgz0aoz\n", + " Local directory: /jobfs/126791498.gadi-pbs/dask-scratch-space/worker-seav5bro\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -969,7 +969,7 @@ "
\n", - " Comm: tcp://127.0.0.1:36369\n", + " Comm: tcp://127.0.0.1:46201\n", " \n", " Total threads: 1\n", @@ -932,7 +932,7 @@ "
\n", - " Dashboard: /proxy/38471/status\n", + " Dashboard: /proxy/43193/status\n", " \n", " Memory: 3.93 GiB\n", @@ -940,13 +940,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:46367\n", + " Nanny: tcp://127.0.0.1:33355\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-nxkyz5jj\n", + " Local directory: /jobfs/126791498.gadi-pbs/dask-scratch-space/worker-3lf6l6er\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1014,7 +1014,7 @@ "
\n", - " Comm: tcp://127.0.0.1:34941\n", + " Comm: tcp://127.0.0.1:34967\n", " \n", " Total threads: 1\n", @@ -977,7 +977,7 @@ "
\n", - " Dashboard: /proxy/42947/status\n", + " Dashboard: /proxy/33013/status\n", " \n", " Memory: 3.93 GiB\n", @@ -985,13 +985,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:34021\n", + " Nanny: tcp://127.0.0.1:43841\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-smqbrkcp\n", + " Local directory: /jobfs/126791498.gadi-pbs/dask-scratch-space/worker-le58b2mw\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1059,7 +1059,7 @@ "
\n", - " Comm: tcp://127.0.0.1:39047\n", + " Comm: tcp://127.0.0.1:44157\n", " \n", " Total threads: 1\n", @@ -1022,7 +1022,7 @@ "
\n", - " Dashboard: /proxy/41769/status\n", + " Dashboard: /proxy/37705/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1030,13 +1030,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:39693\n", + " Nanny: tcp://127.0.0.1:40039\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-e27hfl5b\n", + " Local directory: /jobfs/126791498.gadi-pbs/dask-scratch-space/worker-ixpz66dp\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1104,7 +1104,7 @@ "
\n", - " Comm: tcp://127.0.0.1:44531\n", + " Comm: tcp://127.0.0.1:46799\n", " \n", " Total threads: 1\n", @@ -1067,7 +1067,7 @@ "
\n", - " Dashboard: /proxy/34223/status\n", + " Dashboard: /proxy/43959/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1075,13 +1075,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:43693\n", + " Nanny: tcp://127.0.0.1:40313\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-515vip68\n", + " Local directory: /jobfs/126791498.gadi-pbs/dask-scratch-space/worker-7us28f4q\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1149,7 +1149,7 @@ "
\n", - " Comm: tcp://127.0.0.1:38013\n", + " Comm: tcp://127.0.0.1:32953\n", " \n", " Total threads: 1\n", @@ -1112,7 +1112,7 @@ "
\n", - " Dashboard: /proxy/44625/status\n", + " Dashboard: /proxy/34787/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1120,13 +1120,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:40117\n", + " Nanny: tcp://127.0.0.1:39109\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-gdqmf_e3\n", + " Local directory: /jobfs/126791498.gadi-pbs/dask-scratch-space/worker-yas3qwde\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1194,7 +1194,7 @@ "
\n", - " Comm: tcp://127.0.0.1:44791\n", + " Comm: tcp://127.0.0.1:45285\n", " \n", " Total threads: 1\n", @@ -1157,7 +1157,7 @@ "
\n", - " Dashboard: /proxy/39039/status\n", + " Dashboard: /proxy/40777/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1165,13 +1165,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:37685\n", + " Nanny: tcp://127.0.0.1:40067\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-h_eyf2j6\n", + " Local directory: /jobfs/126791498.gadi-pbs/dask-scratch-space/worker-9dxff4r6\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1239,7 +1239,7 @@ "
\n", - " Comm: tcp://127.0.0.1:38111\n", + " Comm: tcp://127.0.0.1:35255\n", " \n", " Total threads: 1\n", @@ -1202,7 +1202,7 @@ "
\n", - " Dashboard: /proxy/43745/status\n", + " Dashboard: /proxy/34215/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1210,13 +1210,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:38303\n", + " Nanny: tcp://127.0.0.1:35459\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-3lad3vx3\n", + " Local directory: /jobfs/126791498.gadi-pbs/dask-scratch-space/worker-w03v_vx1\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1284,7 +1284,7 @@ "
\n", - " Comm: tcp://127.0.0.1:36893\n", + " Comm: tcp://127.0.0.1:46747\n", " \n", " Total threads: 1\n", @@ -1247,7 +1247,7 @@ "
\n", - " Dashboard: /proxy/35063/status\n", + " Dashboard: /proxy/35315/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1255,13 +1255,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:44193\n", + " Nanny: tcp://127.0.0.1:33881\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-_k3ku0gn\n", + " Local directory: /jobfs/126791498.gadi-pbs/dask-scratch-space/worker-axat4v2t\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1329,7 +1329,7 @@ "
\n", - " Comm: tcp://127.0.0.1:41421\n", + " Comm: tcp://127.0.0.1:46847\n", " \n", " Total threads: 1\n", @@ -1292,7 +1292,7 @@ "
\n", - " Dashboard: /proxy/44851/status\n", + " Dashboard: /proxy/39655/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1300,13 +1300,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:35121\n", + " Nanny: tcp://127.0.0.1:45191\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-ddwcm6xg\n", + " Local directory: /jobfs/126791498.gadi-pbs/dask-scratch-space/worker-4r4ihhmo\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1374,7 +1374,7 @@ "
\n", - " Comm: tcp://127.0.0.1:41411\n", + " Comm: tcp://127.0.0.1:43393\n", " \n", " Total threads: 1\n", @@ -1337,7 +1337,7 @@ "
\n", - " Dashboard: /proxy/33767/status\n", + " Dashboard: /proxy/34417/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1345,13 +1345,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:45889\n", + " Nanny: tcp://127.0.0.1:46411\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-vjvuao44\n", + " Local directory: /jobfs/126791498.gadi-pbs/dask-scratch-space/worker-99hmttez\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1419,7 +1419,7 @@ "
\n", - " Comm: tcp://127.0.0.1:43293\n", + " Comm: tcp://127.0.0.1:46439\n", " \n", " Total threads: 1\n", @@ -1382,7 +1382,7 @@ "
\n", - " Dashboard: /proxy/41545/status\n", + " Dashboard: /proxy/42179/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1390,13 +1390,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:41051\n", + " Nanny: tcp://127.0.0.1:38387\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-77vi3_m1\n", + " Local directory: /jobfs/126791498.gadi-pbs/dask-scratch-space/worker-brkkb74w\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1464,7 +1464,7 @@ "
\n", - " Comm: tcp://127.0.0.1:46063\n", + " Comm: tcp://127.0.0.1:33541\n", " \n", " Total threads: 1\n", @@ -1427,7 +1427,7 @@ "
\n", - " Dashboard: /proxy/38957/status\n", + " Dashboard: /proxy/43589/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1435,13 +1435,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:36683\n", + " Nanny: tcp://127.0.0.1:42669\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-_sty_gp7\n", + " Local directory: /jobfs/126791498.gadi-pbs/dask-scratch-space/worker-wdbu4xyn\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1509,7 +1509,7 @@ "
\n", - " Comm: tcp://127.0.0.1:32857\n", + " Comm: tcp://127.0.0.1:46583\n", " \n", " Total threads: 1\n", @@ -1472,7 +1472,7 @@ "
\n", - " Dashboard: /proxy/32911/status\n", + " Dashboard: /proxy/36057/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1480,13 +1480,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:35545\n", + " Nanny: tcp://127.0.0.1:42637\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-tvnjyw11\n", + " Local directory: /jobfs/126791498.gadi-pbs/dask-scratch-space/worker-a8mewjvz\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1554,7 +1554,7 @@ "
\n", - " Comm: tcp://127.0.0.1:34367\n", + " Comm: tcp://127.0.0.1:45933\n", " \n", " Total threads: 1\n", @@ -1517,7 +1517,7 @@ "
\n", - " Dashboard: /proxy/37447/status\n", + " Dashboard: /proxy/36027/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1525,13 +1525,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:44781\n", + " Nanny: tcp://127.0.0.1:36951\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-64oy0tm5\n", + " Local directory: /jobfs/126791498.gadi-pbs/dask-scratch-space/worker-5dxq455m\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1599,7 +1599,7 @@ "
\n", - " Comm: tcp://127.0.0.1:42329\n", + " Comm: tcp://127.0.0.1:32961\n", " \n", " Total threads: 1\n", @@ -1562,7 +1562,7 @@ "
\n", - " Dashboard: /proxy/41087/status\n", + " Dashboard: /proxy/40825/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1570,13 +1570,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:43515\n", + " Nanny: tcp://127.0.0.1:36935\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-4qr47eqh\n", + " Local directory: /jobfs/126791498.gadi-pbs/dask-scratch-space/worker-kki4gpe1\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1644,7 +1644,7 @@ "
\n", - " Comm: tcp://127.0.0.1:33509\n", + " Comm: tcp://127.0.0.1:42801\n", " \n", " Total threads: 1\n", @@ -1607,7 +1607,7 @@ "
\n", - " Dashboard: /proxy/33905/status\n", + " Dashboard: /proxy/45229/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1615,13 +1615,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:44243\n", + " Nanny: tcp://127.0.0.1:33097\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-kwi3x39p\n", + " Local directory: /jobfs/126791498.gadi-pbs/dask-scratch-space/worker-3vsp41vd\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1689,7 +1689,7 @@ "
\n", - " Comm: tcp://127.0.0.1:45773\n", + " Comm: tcp://127.0.0.1:34643\n", " \n", " Total threads: 1\n", @@ -1652,7 +1652,7 @@ "
\n", - " Dashboard: /proxy/45951/status\n", + " Dashboard: /proxy/37155/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1660,13 +1660,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:42643\n", + " Nanny: tcp://127.0.0.1:38049\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-rrkwpugr\n", + " Local directory: /jobfs/126791498.gadi-pbs/dask-scratch-space/worker-xjv2trom\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1734,7 +1734,7 @@ "
\n", - " Comm: tcp://127.0.0.1:42885\n", + " Comm: tcp://127.0.0.1:45771\n", " \n", " Total threads: 1\n", @@ -1697,7 +1697,7 @@ "
\n", - " Dashboard: /proxy/34977/status\n", + " Dashboard: /proxy/40975/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1705,13 +1705,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:42933\n", + " Nanny: tcp://127.0.0.1:46463\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-5irk5euc\n", + " Local directory: /jobfs/126791498.gadi-pbs/dask-scratch-space/worker-iufxt82g\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1779,7 +1779,7 @@ "
\n", - " Comm: tcp://127.0.0.1:40121\n", + " Comm: tcp://127.0.0.1:36271\n", " \n", " Total threads: 1\n", @@ -1742,7 +1742,7 @@ "
\n", - " Dashboard: /proxy/34991/status\n", + " Dashboard: /proxy/39415/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1750,13 +1750,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:45063\n", + " Nanny: tcp://127.0.0.1:43069\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-5akecxgk\n", + " Local directory: /jobfs/126791498.gadi-pbs/dask-scratch-space/worker-z3_uzm5q\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1824,7 +1824,7 @@ "
\n", - " Comm: tcp://127.0.0.1:33423\n", + " Comm: tcp://127.0.0.1:34419\n", " \n", " Total threads: 1\n", @@ -1787,7 +1787,7 @@ "
\n", - " Dashboard: /proxy/44395/status\n", + " Dashboard: /proxy/45065/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1795,13 +1795,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:32889\n", + " Nanny: tcp://127.0.0.1:37853\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-bpvyiu79\n", + " Local directory: /jobfs/126791498.gadi-pbs/dask-scratch-space/worker-1uyu5dyy\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1869,7 +1869,7 @@ "
\n", - " Comm: tcp://127.0.0.1:33359\n", + " Comm: tcp://127.0.0.1:44425\n", " \n", " Total threads: 1\n", @@ -1832,7 +1832,7 @@ "
\n", - " Dashboard: /proxy/43661/status\n", + " Dashboard: /proxy/41333/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1840,13 +1840,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:37583\n", + " Nanny: tcp://127.0.0.1:44841\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-pf44shhh\n", + " Local directory: /jobfs/126791498.gadi-pbs/dask-scratch-space/worker-i4ohtevs\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1914,7 +1914,7 @@ "
\n", - " Comm: tcp://127.0.0.1:34817\n", + " Comm: tcp://127.0.0.1:41425\n", " \n", " Total threads: 1\n", @@ -1877,7 +1877,7 @@ "
\n", - " Dashboard: /proxy/34405/status\n", + " Dashboard: /proxy/36893/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1885,13 +1885,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:45017\n", + " Nanny: tcp://127.0.0.1:33129\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-fve4x40f\n", + " Local directory: /jobfs/126791498.gadi-pbs/dask-scratch-space/worker-2eob5f3e\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -1959,7 +1959,7 @@ "
\n", - " Comm: tcp://127.0.0.1:42831\n", + " Comm: tcp://127.0.0.1:46873\n", " \n", " Total threads: 1\n", @@ -1922,7 +1922,7 @@ "
\n", - " Dashboard: /proxy/37605/status\n", + " Dashboard: /proxy/43143/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1930,13 +1930,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:45991\n", + " Nanny: tcp://127.0.0.1:40817\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-bui6r159\n", + " Local directory: /jobfs/126791498.gadi-pbs/dask-scratch-space/worker-j2abtk0b\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -2004,7 +2004,7 @@ "
\n", - " Comm: tcp://127.0.0.1:35751\n", + " Comm: tcp://127.0.0.1:45839\n", " \n", " Total threads: 1\n", @@ -1967,7 +1967,7 @@ "
\n", - " Dashboard: /proxy/43973/status\n", + " Dashboard: /proxy/44701/status\n", " \n", " Memory: 3.93 GiB\n", @@ -1975,13 +1975,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:35253\n", + " Nanny: tcp://127.0.0.1:33131\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-9hombpnm\n", + " Local directory: /jobfs/126791498.gadi-pbs/dask-scratch-space/worker-n96ujnfi\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -2049,7 +2049,7 @@ "
\n", - " Comm: tcp://127.0.0.1:44489\n", + " Comm: tcp://127.0.0.1:35831\n", " \n", " Total threads: 1\n", @@ -2012,7 +2012,7 @@ "
\n", - " Dashboard: /proxy/33225/status\n", + " Dashboard: /proxy/34585/status\n", " \n", " Memory: 3.93 GiB\n", @@ -2020,13 +2020,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:35955\n", + " Nanny: tcp://127.0.0.1:34669\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-b4l5kl_2\n", + " Local directory: /jobfs/126791498.gadi-pbs/dask-scratch-space/worker-56lwf2tm\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -2094,7 +2094,7 @@ "
\n", - " Comm: tcp://127.0.0.1:42951\n", + " Comm: tcp://127.0.0.1:33219\n", " \n", " Total threads: 1\n", @@ -2057,7 +2057,7 @@ "
\n", - " Dashboard: /proxy/38889/status\n", + " Dashboard: /proxy/36381/status\n", " \n", " Memory: 3.93 GiB\n", @@ -2065,13 +2065,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:39649\n", + " Nanny: tcp://127.0.0.1:43273\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-4ccmibxg\n", + " Local directory: /jobfs/126791498.gadi-pbs/dask-scratch-space/worker-mcojbqxv\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -2139,7 +2139,7 @@ "
\n", - " Comm: tcp://127.0.0.1:33121\n", + " Comm: tcp://127.0.0.1:34819\n", " \n", " Total threads: 1\n", @@ -2102,7 +2102,7 @@ "
\n", - " Dashboard: /proxy/33553/status\n", + " Dashboard: /proxy/39943/status\n", " \n", " Memory: 3.93 GiB\n", @@ -2110,13 +2110,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:41887\n", + " Nanny: tcp://127.0.0.1:36169\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-cekhm0vm\n", + " Local directory: /jobfs/126791498.gadi-pbs/dask-scratch-space/worker-01i296fn\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -2184,7 +2184,7 @@ "
\n", - " Comm: tcp://127.0.0.1:36445\n", + " Comm: tcp://127.0.0.1:38619\n", " \n", " Total threads: 1\n", @@ -2147,7 +2147,7 @@ "
\n", - " Dashboard: /proxy/34097/status\n", + " Dashboard: /proxy/35247/status\n", " \n", " Memory: 3.93 GiB\n", @@ -2155,13 +2155,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:38969\n", + " Nanny: tcp://127.0.0.1:34005\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-0kznul3i\n", + " Local directory: /jobfs/126791498.gadi-pbs/dask-scratch-space/worker-07agvyrt\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -2229,7 +2229,7 @@ "
\n", - " Comm: tcp://127.0.0.1:39647\n", + " Comm: tcp://127.0.0.1:45525\n", " \n", " Total threads: 1\n", @@ -2192,7 +2192,7 @@ "
\n", - " Dashboard: /proxy/36007/status\n", + " Dashboard: /proxy/44897/status\n", " \n", " Memory: 3.93 GiB\n", @@ -2200,13 +2200,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:42967\n", + " Nanny: tcp://127.0.0.1:39787\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-_kej90lt\n", + " Local directory: /jobfs/126791498.gadi-pbs/dask-scratch-space/worker-y8mlm4wd\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -2274,7 +2274,7 @@ "
\n", - " Comm: tcp://127.0.0.1:43781\n", + " Comm: tcp://127.0.0.1:42563\n", " \n", " Total threads: 1\n", @@ -2237,7 +2237,7 @@ "
\n", - " Dashboard: /proxy/43655/status\n", + " Dashboard: /proxy/41565/status\n", " \n", " Memory: 3.93 GiB\n", @@ -2245,13 +2245,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:38285\n", + " Nanny: tcp://127.0.0.1:40221\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-jbfz9g9k\n", + " Local directory: /jobfs/126791498.gadi-pbs/dask-scratch-space/worker-gb3_8e98\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -2323,7 +2323,7 @@ "" ], "text/plain": [ - "" + "" ] }, "execution_count": 2, @@ -2353,11 +2353,13 @@ "outputs": [], "source": [ "def load_var(experiment, variable, frequency, start_time=None, end_time=None):\n", + "\n", " cat_subset = catalog.search(name = experiment)\n", + "\n", " var = cat_subset[experiment].search(\n", - " variable = variable,frequency = frequency,variable_cell_methods='time: mean'\n", - " ).to_dask(xarray_open_kwargs=dict(use_cftime=True,chunks={}),\n", - " xarray_combine_by_coords_kwargs=dict(compat=\"override\",data_vars=\"minimal\",coords=\"minimal\")\n", + " variable = variable, frequency = frequency, variable_cell_methods='time: mean'\n", + " ).to_dask(xarray_open_kwargs = dict(use_cftime=True,chunks={}),\n", + " xarray_combine_by_coords_kwargs = dict(compat=\"override\", data_vars=\"minimal\", coords=\"minimal\")\n", " )[variable]\n", "\n", " var = var.sel(time=slice(start_time, end_time))\n", @@ -2378,7 +2380,6 @@ "metadata": {}, "outputs": [], "source": [ - "## Loading the variables\n", "temperature = load_var(experiment, 'temp', '1mon')\n", "salinity = load_var(experiment, 'salt', '1mon')" ] @@ -2396,15 +2397,15 @@ "metadata": {}, "outputs": [], "source": [ - "temperature_anomaly = temperature - temperature.isel(time=slice(0,12)).cf.mean('time')\n", - "salinity_anomaly = salinity - salinity.isel(time=slice(0,12)).cf.mean('time')" + "temperature_anomaly = temperature - temperature.isel(time=slice(0, 12)).cf.mean('time')\n", + "salinity_anomaly = salinity - salinity.isel(time=slice(0, 12)).cf.mean('time')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Next, we load cell area (denoted $a(x,y,z)$) to construct the total ocean area as a function of depth, $A$, namely\n", + "Next, we load cell area (denoted as $a(x,y,z)$) to construct the total ocean area as a function of depth, $A$, namely\n", "$$ A(z) = \\sum_x \\sum_y a(x,y,z)$$\n" ] }, @@ -2412,7 +2413,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "We load `dxt` and `dyt` and compute a masked version of cell area; we also use a slight hack to divide temperature by itself and thereby get a 3-dimensional cell area (which is needed to create $A(z)$" + "We load `dxt` and `dyt` and compute a masked version of cell area; we also use a slight hack to divide temperature by itself and thereby get a 3-dimensional cell area mask that is needed to create $A(z)$." ] }, { @@ -2422,14 +2423,16 @@ "outputs": [], "source": [ "cat_subset = catalog.search(name = experiment)\n", - "dxt = cat_subset[experiment].search(variable = 'dxt',frequency = 'fx',path=\".*output000.*\").to_dask()['dxt']\n", - "dyt = cat_subset[experiment].search(variable = 'dyt',frequency = 'fx',path=\".*output000.*\").to_dask()['dyt']\n", + "\n", + "dxt = cat_subset[experiment].search(variable = 'dxt', frequency = 'fx', path=\".*output000.*\").to_dask()['dxt']\n", + "dyt = cat_subset[experiment].search(variable = 'dyt', frequency = 'fx', path=\".*output000.*\").to_dask()['dyt']\n", "cell_area = dxt * dyt\n", "\n", - "## Make a mask to get vertical variation of A\n", + "## Make a mask to get vertical variation of area\n", "temp1 = temperature.isel(time=0)\n", - "cell_mask = temp1/temp1\n", - "total_area = (cell_area*cell_mask).cf.sum({'longitude', 'latitude'}).load()" + "cell_mask = temp1 / temp1\n", + "\n", + "total_area = (cell_area * cell_mask).cf.sum({'longitude', 'latitude'}).load()" ] }, { @@ -2462,14 +2465,12 @@ "metadata": {}, "outputs": [], "source": [ - "def plot_hovmuller(fsize = 14, date_format = mdates.DateFormatter('%Y')):\n", + "def plot_hovmoller(fsize = 14, date_format = mdates.DateFormatter('%Y')):\n", + " \n", " # Set figures properties\n", " plt.rcParams['font.size'] = fsize\n", - " plt.rcParams['font.weight'] = 'bold'\n", - " plt.rcParams['xtick.labelsize'] = fsize\n", - " plt.rcParams['ytick.labelsize'] = fsize\n", - " plt.rcParams['axes.labelweight'] = 'bold'\n", - " plt.rcParams['axes.titleweight'] = 'bold'\n", + " plt.rcParams['xtick.labelsize'] = fsize-2\n", + " plt.rcParams['ytick.labelsize'] = fsize-2\n", " \n", " fig = plt.figure(figsize = (10, 6))\n", " grid = GridSpec(100, 100)\n", @@ -2482,7 +2483,7 @@ " ax[i].tick_params(axis='x', labelrotation=45)\n", " if i != 0 and i != 2:\n", " ax[i].set_yticklabels([]) \n", - " \n", + "\n", " return fig, ax" ] }, @@ -2493,7 +2494,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -2503,69 +2504,78 @@ } ], "source": [ - "fig, ax = plot_hovmuller(fsize = 14)\n", + "fig, ax = plot_hovmoller(fsize = 14)\n", "\n", "levels_temperature = np.arange(-0.3, 0.31, 0.01)\n", "\n", - "cf_temp = temperature_hov.cf.plot(ax = ax[0], levels = levels_temperature,\n", - " x = 'time', y = 'vertical',\n", - " add_colorbar = False, label = None, cmap = cm.balance, extend = 'both')\n", - "temperature_hov.cf.plot(ax = ax[2], levels = levels_temperature,\n", - " x = 'time', y = 'vertical',\n", - " add_colorbar = False, label = None, cmap = cm.balance, extend = 'both')\n", + "cf_temp = temperature_hov.cf.plot(ax = ax[0],\n", + " levels = levels_temperature,\n", + " x = 'time',\n", + " y = 'vertical',\n", + " add_colorbar = False,\n", + " label = None,\n", + " cmap = cm.balance)\n", "\n", + "temperature_hov.cf.plot(ax = ax[2],\n", + " levels = levels_temperature,\n", + " x = 'time',\n", + " y = 'vertical',\n", + " add_colorbar = False,\n", + " label = None,\n", + " cmap = cm.balance)\n", "\n", - "levels_salinity = np.arange( -0.03, 0.031, 0.001)\n", + "levels_salinity = np.arange(-0.03, 0.031, 0.001)\n", "\n", - "cf_salt = salinity_hov.cf.plot(ax = ax[1], levels = levels_salinity,\n", - " x = 'time', y = 'vertical',\n", - " add_colorbar = False, label = None, cmap = cm.curl, extend = 'both')\n", - "salinity_hov.cf.plot(ax = ax[3], levels = levels_salinity,\n", - " x = 'time', y = 'vertical',\n", - " add_colorbar = False, label = None, cmap = cm.curl, extend = 'both')\n", + "cf_salt = salinity_hov.cf.plot(ax = ax[1],\n", + " levels = levels_salinity,\n", + " x = 'time',\n", + " y = 'vertical',\n", + " add_colorbar = False,\n", + " label = None,\n", + " cmap = cm.curl)\n", "\n", - "## Details\n", + "salinity_hov.cf.plot(ax = ax[3],\n", + " levels = levels_salinity,\n", + " x = 'time',\n", + " y = 'vertical',\n", + " add_colorbar = False,\n", + " label = None,\n", + " cmap = cm.curl)\n", + "\n", + "## Beautification details\n", "for i in range(len(ax)):\n", " if i < 2:\n", " ax[i].set_ylim(500, 0)\n", " ax[i].set_xticklabels([])\n", " else:\n", - " ax[i].set_xlabel('')\n", + " ax[i].set_xlabel(\"\")\n", " ax[i].set_ylim(5000, 500)\n", "ax[0].set_ylabel(\"Depth [m]\")\n", - "ax[1].set_ylabel('')\n", + "ax[1].set_ylabel(\"\")\n", "ax[2].set_ylabel(\"Depth [m]\")\n", - "ax[3].set_ylabel('')\n", + "ax[3].set_ylabel(\"\")\n", "\n", "# Colorbars\n", "bar = plt.axes([0.11, 0.99, 0.25, 0.02])\n", "cbar_1 = plt.colorbar(cf_temp, cax = bar, orientation = 'horizontal', extend='both', format= '%.2f') \n", - "cbar_1.set_label('Temperature [$\\degree$C]')\n", + "cbar_1.set_label(\"Temperature [$\\degree$C]\")\n", "\n", "bar = plt.axes([0.37, 0.99, 0.25, 0.02])\n", "cbar_2 = plt.colorbar(cf_salt, cax = bar, orientation = 'horizontal', extend='both', format= '%.2f') \n", - "cbar_2.set_label('Salinity [psu]')\n", + "cbar_2.set_label(\"Salinity [psu]\")\n", "\n", - "cbar = [cbar_1, cbar_2]\n", - "for i in range(len(cbar)):\n", + "for cbar in [cbar_1, cbar_2]:\n", " tick_locator = ticker.MaxNLocator(nbins=3) ## The ticker needs to called within the loop\n", - " cbar[i].locator = tick_locator\n", - " cbar[i].update_ticks()" + " cbar.locator = tick_locator\n", + " cbar.update_ticks()" ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { "kernelspec": { - "display_name": "Python [conda env:analysis3-24.01]", + "display_name": "Python [conda env:analysis3-24.07] *", "language": "python", - "name": "conda-env-analysis3-24.01-py" + "name": "conda-env-analysis3-24.07-py" }, "language_info": { "codemirror_mode": { @@ -2577,7 +2587,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.13" + "version": "3.10.14" } }, "nbformat": 4,
\n", - " Comm: tcp://127.0.0.1:37689\n", + " Comm: tcp://127.0.0.1:33049\n", " \n", " Total threads: 1\n", @@ -2282,7 +2282,7 @@ "
\n", - " Dashboard: /proxy/45407/status\n", + " Dashboard: /proxy/38535/status\n", " \n", " Memory: 3.93 GiB\n", @@ -2290,13 +2290,13 @@ "
\n", - " Nanny: tcp://127.0.0.1:32985\n", + " Nanny: tcp://127.0.0.1:34187\n", "
\n", - " Local directory: /jobfs/126649199.gadi-pbs/dask-scratch-space/worker-rbchatc_\n", + " Local directory: /jobfs/126791498.gadi-pbs/dask-scratch-space/worker-en0xvmhs\n", "