diff --git a/flu_instances/What changed.txt b/flu_instances/What changed.txt
new file mode 100644
index 0000000..0253f01
--- /dev/null
+++ b/flu_instances/What changed.txt	
@@ -0,0 +1,76 @@
+4/22/2026
+Experiments code:
+texas_input_files/simulation_settings.json “transition_type”:”binom”
+examples/flu_demo_experiments_only.ipynb
+
+Austin 2 subpop (applied to both 2024_2025 and 2023_2024)
+examples/flu_demo_2popAustin
+extra code at end to look at transition variables
+extra code in beginning to set the waiting rate and subpopulation specific IHR values
+was updating east beta when thought was updating west beta
+
+Common_subpop_parameters:
+update int_immune_wane
+beta
+calendar start date
+updated HDR values
+updated hospital waiting times 
+updated IHR waiting times 
+Updated inf induced saturation for 2024-2025 since both H1 and H3 were common
+
+Vaccination schedule:  
+Completed update to 2024 season now that new data is available. 
+
+M(0) in init_vals: 
+Updated reflecting current idea of Anass to calculate M(start_date) based previous estimated number of infections
+over time plus waning 
+
+School&work calendars:
+Updated Work calendar to reflect Bureau of Labor Statistics data on how many people get paid holidays and when, and 
+how many people work during week vs weekend.
+
+Added parameters for Austin 3 subpop model (both 2023-2024 and 2024-2025)
+
+Expanded all four Austin input files so two risk groups: 
+1) Update vaccination schedule so two risk groups
+2) Update common_subpop_params so two risk groups, including all parameters that are AxR
+   Only IP_to_ISH prop varies by risk group
+3) Update init_vals with AxR values, only S and E varies by risk group
+
+Flu_demo_Austin code:
+Since only difference between 2023-2024 and 2024-2025 is location of input files, just added the
+    two possibilities as lines to be commented in and out to reduce the proliferation of code
+Added code for a three subpopulation model of Austin 
+
+Notes on parameters:
+Assume %HR is the same 2024-2025 and 2023-2024
+Assume Subpop Ratios of vaccination rate for Austin3 (but not Austin2) is the same 2024-2025 and 2023-2024 
+Assume VE is the same 2024-2025 and 2023-2024, since don't have viable estimates for 2023-2024
+Mobility estimates are still dummy values
+
+
+2/19/2026
+Updated mobility to current values from Jose, but dwell time is not weighted, and population size used was 18+ not 16+.
+
+Updated calendars, separate for each subpop
+
+Updated vaccination, now age specific
+
+Updated Mv(0) [now age specific] and M(0) [M(0) is still a work in progress]
+
+Updated humidity
+
+Updated initial E in West (works better given code changes)
+
+Using hospitalization data based on NSSP as calibration standards
+
+Updated start date based on hospitalization data from NSSP
+
+Updated vax induced risk reduction for infec. & hosp  
+
+Had wrong Hr to R rate, so updated this
+
+Updated mobility modifier to exclude trips > 30 miles.  Now day of week specific.
+
+Code changes since last update:  Remy made vacc AxR.  Added the switch for PySoft and turned it off.  Made mobility modifer a schedule, so can vary by day of week.  
+
diff --git a/flu_instances/austin3_input_files_2023_2024/Hosp_Austin3.xlsx b/flu_instances/austin3_input_files_2023_2024/Hosp_Austin3.xlsx
new file mode 100644
index 0000000..36e67d6
Binary files /dev/null and b/flu_instances/austin3_input_files_2023_2024/Hosp_Austin3.xlsx differ
diff --git a/flu_instances/austin3_input_files_2023_2024/absolute_humidity_austin.csv b/flu_instances/austin3_input_files_2023_2024/absolute_humidity_austin.csv
new file mode 100644
index 0000000..8223772
--- /dev/null
+++ b/flu_instances/austin3_input_files_2023_2024/absolute_humidity_austin.csv
@@ -0,0 +1,1097 @@
+0,date,absolute_humidity
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diff --git a/flu_instances/austin3_input_files_2023_2024/common_subpop_params.json b/flu_instances/austin3_input_files_2023_2024/common_subpop_params.json
new file mode 100644
index 0000000..5f030f6
--- /dev/null
+++ b/flu_instances/austin3_input_files_2023_2024/common_subpop_params.json
@@ -0,0 +1,147 @@
+{
+	"num_age_groups":5,
+	"num_risk_groups":2,
+	"beta_baseline": 0.045,
+    "humidity_impact": 0.0119,
+	"inf_induced_saturation": 0.7,
+	"inf_induced_immune_wane": 0.0037,
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+    "vax_induced_immune_wane": [[0.0025,0.0025],[0.0025,0.0025],[0.0025,0.0025],[0.0025,0.0025],[0.0036,0.0036]],
+	"inf_induced_inf_risk_reduce": 0.80,
+	"inf_induced_hosp_risk_reduce": 0.87,
+	"inf_induced_death_risk_reduce": 0.0,
+    "vax_induced_inf_risk_reduce": [[0.52,0.52],[0.52,0.52],[0.43,0.43],[0.43,0.43],[0.10,0.10]],
+    "vax_induced_hosp_risk_reduce": [[0.63],[0.63],[0.51],[0.51],[0.57]],
+	"vax_induced_death_risk_reduce": 0.0,
+	"vax_protection_delay_days": 14,
+	"vax_immunity_reset_date_mm_dd": "07_30",
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+}
diff --git a/flu_instances/austin3_input_files_2023_2024/daily_vaccines_East.csv b/flu_instances/austin3_input_files_2023_2024/daily_vaccines_East.csv
new file mode 100644
index 0000000..9586d6a
--- /dev/null
+++ b/flu_instances/austin3_input_files_2023_2024/daily_vaccines_East.csv
@@ -0,0 +1,307 @@
+"","date","daily_vaccines"
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+"92","2023-10-30","[[0.005746, 0.005746],[0.00436, 0.00436],[0.002254, 0.002254],[0.005387, 0.005387],[0.008418, 0.008418]]"
+"93","2023-10-31","[[0.005723, 0.005723],[0.004341, 0.004341],[0.002267, 0.002267],[0.005325, 0.005325],[0.008383, 0.008383]]"
+"94","2023-11-01","[[0.005696, 0.005696],[0.004321, 0.004321],[0.002279, 0.002279],[0.005256, 0.005256],[0.00834, 0.00834]]"
+"95","2023-11-02","[[0.005666, 0.005666],[0.004299, 0.004299],[0.002291, 0.002291],[0.005181, 0.005181],[0.008289, 0.008289]]"
+"96","2023-11-03","[[0.005632, 0.005632],[0.004276, 0.004276],[0.002302, 0.002302],[0.005101, 0.005101],[0.00823, 0.00823]]"
+"97","2023-11-04","[[0.005596, 0.005596],[0.004251, 0.004251],[0.002313, 0.002313],[0.005014, 0.005014],[0.008163, 0.008163]]"
+"98","2023-11-05","[[0.005557, 0.005557],[0.004224, 0.004224],[0.002323, 0.002323],[0.004923, 0.004923],[0.008089, 0.008089]]"
+"99","2023-11-06","[[0.005515, 0.005515],[0.004195, 0.004195],[0.002332, 0.002332],[0.004827, 0.004827],[0.008008, 0.008008]]"
+"100","2023-11-07","[[0.00547, 0.00547],[0.004166, 0.004166],[0.00234, 0.00234],[0.004728, 0.004728],[0.00792, 0.00792]]"
+"101","2023-11-08","[[0.005422, 0.005422],[0.004134, 0.004134],[0.002348, 0.002348],[0.004624, 0.004624],[0.007826, 0.007826]]"
+"102","2023-11-09","[[0.005372, 0.005372],[0.004101, 0.004101],[0.002355, 0.002355],[0.004517, 0.004517],[0.007726, 0.007726]]"
+"103","2023-11-10","[[0.005319, 0.005319],[0.004067, 0.004067],[0.002361, 0.002361],[0.004408, 0.004408],[0.00762, 0.00762]]"
+"104","2023-11-11","[[0.005264, 0.005264],[0.004031, 0.004031],[0.002367, 0.002367],[0.004296, 0.004296],[0.007509, 0.007509]]"
+"105","2023-11-12","[[0.005207, 0.005207],[0.003994, 0.003994],[0.002372, 0.002372],[0.004182, 0.004182],[0.007392, 0.007392]]"
+"106","2023-11-13","[[0.005147, 0.005147],[0.003956, 0.003956],[0.002376, 0.002376],[0.004067, 0.004067],[0.007271, 0.007271]]"
+"107","2023-11-14","[[0.005086, 0.005086],[0.003917, 0.003917],[0.002379, 0.002379],[0.003951, 0.003951],[0.007146, 0.007146]]"
+"108","2023-11-15","[[0.005023, 0.005023],[0.003876, 0.003876],[0.002381, 0.002381],[0.003834, 0.003834],[0.007017, 0.007017]]"
+"109","2023-11-16","[[0.004957, 0.004957],[0.003835, 0.003835],[0.002383, 0.002383],[0.003717, 0.003717],[0.006884, 0.006884]]"
+"110","2023-11-17","[[0.004891, 0.004891],[0.003792, 0.003792],[0.002384, 0.002384],[0.0036, 0.0036],[0.006749, 0.006749]]"
+"111","2023-11-18","[[0.004822, 0.004822],[0.003749, 0.003749],[0.002384, 0.002384],[0.003484, 0.003484],[0.006611, 0.006611]]"
+"112","2023-11-19","[[0.004753, 0.004753],[0.003705, 0.003705],[0.002384, 0.002384],[0.003368, 0.003368],[0.00647, 0.00647]]"
+"113","2023-11-20","[[0.004682, 0.004682],[0.003659, 0.003659],[0.002383, 0.002383],[0.003253, 0.003253],[0.006328, 0.006328]]"
+"114","2023-11-21","[[0.00461, 0.00461],[0.003614, 0.003614],[0.002381, 0.002381],[0.00314, 0.00314],[0.006184, 0.006184]]"
+"115","2023-11-22","[[0.004536, 0.004536],[0.003567, 0.003567],[0.002378, 0.002378],[0.003027, 0.003027],[0.006039, 0.006039]]"
+"116","2023-11-23","[[0.004462, 0.004462],[0.00352, 0.00352],[0.002374, 0.002374],[0.002917, 0.002917],[0.005893, 0.005893]]"
+"117","2023-11-24","[[0.004387, 0.004387],[0.003472, 0.003472],[0.00237, 0.00237],[0.002808, 0.002808],[0.005746, 0.005746]]"
+"118","2023-11-25","[[0.004312, 0.004312],[0.003424, 0.003424],[0.002365, 0.002365],[0.002702, 0.002702],[0.0056, 0.0056]]"
+"119","2023-11-26","[[0.004236, 0.004236],[0.003375, 0.003375],[0.002359, 0.002359],[0.002598, 0.002598],[0.005453, 0.005453]]"
+"120","2023-11-27","[[0.004159, 0.004159],[0.003325, 0.003325],[0.002353, 0.002353],[0.002496, 0.002496],[0.005307, 0.005307]]"
+"121","2023-11-28","[[0.004082, 0.004082],[0.003276, 0.003276],[0.002345, 0.002345],[0.002396, 0.002396],[0.005161, 0.005161]]"
+"122","2023-11-29","[[0.004005, 0.004005],[0.003226, 0.003226],[0.002337, 0.002337],[0.002299, 0.002299],[0.005017, 0.005017]]"
+"123","2023-11-30","[[0.003927, 0.003927],[0.003176, 0.003176],[0.002329, 0.002329],[0.002205, 0.002205],[0.004873, 0.004873]]"
+"124","2023-12-01","[[0.00385, 0.00385],[0.003125, 0.003125],[0.002319, 0.002319],[0.002113, 0.002113],[0.004731, 0.004731]]"
+"125","2023-12-02","[[0.003772, 0.003772],[0.003075, 0.003075],[0.002309, 0.002309],[0.002024, 0.002024],[0.00459, 0.00459]]"
+"126","2023-12-03","[[0.003695, 0.003695],[0.003024, 0.003024],[0.002299, 0.002299],[0.001938, 0.001938],[0.004452, 0.004452]]"
+"127","2023-12-04","[[0.003618, 0.003618],[0.002973, 0.002973],[0.002287, 0.002287],[0.001854, 0.001854],[0.004315, 0.004315]]"
+"128","2023-12-05","[[0.003541, 0.003541],[0.002923, 0.002923],[0.002275, 0.002275],[0.001773, 0.001773],[0.00418, 0.00418]]"
+"129","2023-12-06","[[0.003465, 0.003465],[0.002872, 0.002872],[0.002263, 0.002263],[0.001695, 0.001695],[0.004047, 0.004047]]"
+"130","2023-12-07","[[0.003389, 0.003389],[0.002821, 0.002821],[0.002249, 0.002249],[0.00162, 0.00162],[0.003917, 0.003917]]"
+"131","2023-12-08","[[0.003313, 0.003313],[0.002771, 0.002771],[0.002236, 0.002236],[0.001547, 0.001547],[0.003789, 0.003789]]"
+"132","2023-12-09","[[0.003238, 0.003238],[0.002721, 0.002721],[0.002221, 0.002221],[0.001477, 0.001477],[0.003663, 0.003663]]"
+"133","2023-12-10","[[0.003164, 0.003164],[0.00267, 0.00267],[0.002206, 0.002206],[0.00141, 0.00141],[0.00354, 0.00354]]"
+"134","2023-12-11","[[0.00309, 0.00309],[0.002621, 0.002621],[0.002191, 0.002191],[0.001345, 0.001345],[0.00342, 0.00342]]"
+"135","2023-12-12","[[0.003017, 0.003017],[0.002571, 0.002571],[0.002175, 0.002175],[0.001283, 0.001283],[0.003303, 0.003303]]"
+"136","2023-12-13","[[0.002945, 0.002945],[0.002522, 0.002522],[0.002158, 0.002158],[0.001223, 0.001223],[0.003188, 0.003188]]"
+"137","2023-12-14","[[0.002874, 0.002874],[0.002473, 0.002473],[0.002141, 0.002141],[0.001165, 0.001165],[0.003076, 0.003076]]"
+"138","2023-12-15","[[0.002804, 0.002804],[0.002424, 0.002424],[0.002123, 0.002123],[0.00111, 0.00111],[0.002967, 0.002967]]"
+"139","2023-12-16","[[0.002735, 0.002735],[0.002376, 0.002376],[0.002105, 0.002105],[0.001058, 0.001058],[0.002861, 0.002861]]"
+"140","2023-12-17","[[0.002666, 0.002666],[0.002328, 0.002328],[0.002087, 0.002087],[0.001007, 0.001007],[0.002758, 0.002758]]"
+"141","2023-12-18","[[0.002599, 0.002599],[0.00228, 0.00228],[0.002068, 0.002068],[0.000959, 0.000959],[0.002657, 0.002657]]"
+"142","2023-12-19","[[0.002532, 0.002532],[0.002233, 0.002233],[0.002049, 0.002049],[0.000913, 0.000913],[0.00256, 0.00256]]"
+"143","2023-12-20","[[0.002467, 0.002467],[0.002187, 0.002187],[0.002029, 0.002029],[0.000868, 0.000868],[0.002465, 0.002465]]"
+"144","2023-12-21","[[0.002403, 0.002403],[0.002141, 0.002141],[0.002009, 0.002009],[0.000826, 0.000826],[0.002373, 0.002373]]"
+"145","2023-12-22","[[0.00234, 0.00234],[0.002095, 0.002095],[0.001989, 0.001989],[0.000786, 0.000786],[0.002284, 0.002284]]"
+"146","2023-12-23","[[0.002278, 0.002278],[0.00205, 0.00205],[0.001968, 0.001968],[0.000747, 0.000747],[0.002198, 0.002198]]"
+"147","2023-12-24","[[0.002217, 0.002217],[0.002006, 0.002006],[0.001947, 0.001947],[0.00071, 0.00071],[0.002114, 0.002114]]"
+"148","2023-12-25","[[0.002157, 0.002157],[0.001962, 0.001962],[0.001926, 0.001926],[0.000675, 0.000675],[0.002033, 0.002033]]"
+"149","2023-12-26","[[0.002098, 0.002098],[0.001919, 0.001919],[0.001905, 0.001905],[0.000642, 0.000642],[0.001954, 0.001954]]"
+"150","2023-12-27","[[0.002041, 0.002041],[0.001876, 0.001876],[0.001883, 0.001883],[0.00061, 0.00061],[0.001879, 0.001879]]"
+"151","2023-12-28","[[0.001984, 0.001984],[0.001834, 0.001834],[0.001861, 0.001861],[0.000579, 0.000579],[0.001805, 0.001805]]"
+"152","2023-12-29","[[0.001929, 0.001929],[0.001793, 0.001793],[0.001839, 0.001839],[0.00055, 0.00055],[0.001735, 0.001735]]"
+"153","2023-12-30","[[0.001875, 0.001875],[0.001752, 0.001752],[0.001816, 0.001816],[0.000523, 0.000523],[0.001666, 0.001666]]"
+"154","2023-12-31","[[0.001822, 0.001822],[0.001712, 0.001712],[0.001794, 0.001794],[0.000496, 0.000496],[0.0016, 0.0016]]"
+"155","2024-01-01","[[0.001771, 0.001771],[0.001673, 0.001673],[0.001771, 0.001771],[0.000471, 0.000471],[0.001536, 0.001536]]"
+"156","2024-01-02","[[0.00172, 0.00172],[0.001634, 0.001634],[0.001748, 0.001748],[0.000447, 0.000447],[0.001475, 0.001475]]"
+"157","2024-01-03","[[0.001671, 0.001671],[0.001596, 0.001596],[0.001725, 0.001725],[0.000425, 0.000425],[0.001416, 0.001416]]"
+"158","2024-01-04","[[0.001623, 0.001623],[0.001558, 0.001558],[0.001702, 0.001702],[0.000403, 0.000403],[0.001359, 0.001359]]"
+"159","2024-01-05","[[0.001576, 0.001576],[0.001521, 0.001521],[0.001679, 0.001679],[0.000383, 0.000383],[0.001304, 0.001304]]"
+"160","2024-01-06","[[0.00153, 0.00153],[0.001485, 0.001485],[0.001656, 0.001656],[0.000363, 0.000363],[0.001251, 0.001251]]"
+"161","2024-01-07","[[0.001485, 0.001485],[0.001449, 0.001449],[0.001633, 0.001633],[0.000345, 0.000345],[0.0012, 0.0012]]"
+"162","2024-01-08","[[0.001441, 0.001441],[0.001414, 0.001414],[0.00161, 0.00161],[0.000327, 0.000327],[0.001151, 0.001151]]"
+"163","2024-01-09","[[0.001398, 0.001398],[0.00138, 0.00138],[0.001587, 0.001587],[0.00031, 0.00031],[0.001104, 0.001104]]"
+"164","2024-01-10","[[0.001356, 0.001356],[0.001346, 0.001346],[0.001563, 0.001563],[0.000294, 0.000294],[0.001058, 0.001058]]"
+"165","2024-01-11","[[0.001316, 0.001316],[0.001313, 0.001313],[0.00154, 0.00154],[0.000279, 0.000279],[0.001015, 0.001015]]"
+"166","2024-01-12","[[0.001276, 0.001276],[0.001281, 0.001281],[0.001517, 0.001517],[0.000265, 0.000265],[0.000973, 0.000973]]"
+"167","2024-01-13","[[0.001238, 0.001238],[0.001249, 0.001249],[0.001494, 0.001494],[0.000251, 0.000251],[0.000932, 0.000932]]"
+"168","2024-01-14","[[0.0012, 0.0012],[0.001218, 0.001218],[0.001471, 0.001471],[0.000238, 0.000238],[0.000894, 0.000894]]"
+"169","2024-01-15","[[0.001164, 0.001164],[0.001187, 0.001187],[0.001448, 0.001448],[0.000226, 0.000226],[0.000856, 0.000856]]"
+"170","2024-01-16","[[0.001128, 0.001128],[0.001158, 0.001158],[0.001425, 0.001425],[0.000214, 0.000214],[0.00082, 0.00082]]"
+"171","2024-01-17","[[0.001094, 0.001094],[0.001128, 0.001128],[0.001402, 0.001402],[0.000203, 0.000203],[0.000786, 0.000786]]"
+"172","2024-01-18","[[0.00106, 0.00106],[0.0011, 0.0011],[0.001379, 0.001379],[0.000193, 0.000193],[0.000753, 0.000753]]"
+"173","2024-01-19","[[0.001027, 0.001027],[0.001072, 0.001072],[0.001357, 0.001357],[0.000183, 0.000183],[0.000721, 0.000721]]"
+"174","2024-01-20","[[0.000996, 0.000996],[0.001044, 0.001044],[0.001334, 0.001334],[0.000173, 0.000173],[0.000691, 0.000691]]"
+"175","2024-01-21","[[0.000965, 0.000965],[0.001017, 0.001017],[0.001312, 0.001312],[0.000164, 0.000164],[0.000662, 0.000662]]"
+"176","2024-01-22","[[0.000935, 0.000935],[0.000991, 0.000991],[0.00129, 0.00129],[0.000156, 0.000156],[0.000634, 0.000634]]"
+"177","2024-01-23","[[0.000905, 0.000905],[0.000966, 0.000966],[0.001268, 0.001268],[0.000147, 0.000147],[0.000607, 0.000607]]"
+"178","2024-01-24","[[0.000877, 0.000877],[0.000941, 0.000941],[0.001246, 0.001246],[0.00014, 0.00014],[0.000581, 0.000581]]"
+"179","2024-01-25","[[0.000849, 0.000849],[0.000916, 0.000916],[0.001224, 0.001224],[0.000133, 0.000133],[0.000557, 0.000557]]"
+"180","2024-01-26","[[0.000823, 0.000823],[0.000892, 0.000892],[0.001203, 0.001203],[0.000126, 0.000126],[0.000533, 0.000533]]"
+"181","2024-01-27","[[0.000797, 0.000797],[0.000869, 0.000869],[0.001181, 0.001181],[0.000119, 0.000119],[0.00051, 0.00051]]"
+"182","2024-01-28","[[0.000771, 0.000771],[0.000846, 0.000846],[0.00116, 0.00116],[0.000113, 0.000113],[0.000488, 0.000488]]"
+"183","2024-01-29","[[0.000747, 0.000747],[0.000824, 0.000824],[0.001139, 0.001139],[0.000107, 0.000107],[0.000467, 0.000467]]"
+"184","2024-01-30","[[0.000723, 0.000723],[0.000802, 0.000802],[0.001118, 0.001118],[0.000101, 0.000101],[0.000447, 0.000447]]"
+"185","2024-01-31","[[0.0007, 0.0007],[0.00078, 0.00078],[0.001098, 0.001098],[0.000096, 0.000096],[0.000428, 0.000428]]"
+"186","2024-02-01","[[0.000678, 0.000678],[0.00076, 0.00076],[0.001078, 0.001078],[0.000091, 0.000091],[0.00041, 0.00041]]"
+"187","2024-02-02","[[0.000656, 0.000656],[0.000739, 0.000739],[0.001057, 0.001057],[0.000086, 0.000086],[0.000392, 0.000392]]"
+"188","2024-02-03","[[0.000635, 0.000635],[0.00072, 0.00072],[0.001038, 0.001038],[0.000082, 0.000082],[0.000375, 0.000375]]"
+"189","2024-02-04","[[0.000615, 0.000615],[0.0007, 0.0007],[0.001018, 0.001018],[0.000077, 0.000077],[0.000359, 0.000359]]"
+"190","2024-02-05","[[0.000595, 0.000595],[0.000681, 0.000681],[0.000999, 0.000999],[0.000073, 0.000073],[0.000344, 0.000344]]"
+"191","2024-02-06","[[0.000576, 0.000576],[0.000663, 0.000663],[0.000979, 0.000979],[0.00007, 0.00007],[0.000329, 0.000329]]"
+"192","2024-02-07","[[0.000557, 0.000557],[0.000645, 0.000645],[0.000961, 0.000961],[0.000066, 0.000066],[0.000315, 0.000315]]"
+"193","2024-02-08","[[0.000539, 0.000539],[0.000628, 0.000628],[0.000942, 0.000942],[0.000062, 0.000062],[0.000301, 0.000301]]"
+"194","2024-02-09","[[0.000521, 0.000521],[0.000611, 0.000611],[0.000923, 0.000923],[0.000059, 0.000059],[0.000288, 0.000288]]"
+"195","2024-02-10","[[0.000504, 0.000504],[0.000594, 0.000594],[0.000905, 0.000905],[0.000056, 0.000056],[0.000276, 0.000276]]"
+"196","2024-02-11","[[0.000488, 0.000488],[0.000578, 0.000578],[0.000887, 0.000887],[0.000053, 0.000053],[0.000264, 0.000264]]"
+"197","2024-02-12","[[0.000472, 0.000472],[0.000562, 0.000562],[0.00087, 0.00087],[0.00005, 0.00005],[0.000252, 0.000252]]"
+"198","2024-02-13","[[0.000457, 0.000457],[0.000547, 0.000547],[0.000852, 0.000852],[0.000048, 0.000048],[0.000241, 0.000241]]"
+"199","2024-02-14","[[0.000442, 0.000442],[0.000532, 0.000532],[0.000835, 0.000835],[0.000045, 0.000045],[0.000231, 0.000231]]"
+"200","2024-02-15","[[0.000427, 0.000427],[0.000517, 0.000517],[0.000818, 0.000818],[0.000043, 0.000043],[0.000221, 0.000221]]"
+"201","2024-02-16","[[0.000413, 0.000413],[0.000503, 0.000503],[0.000802, 0.000802],[0.000041, 0.000041],[0.000211, 0.000211]]"
+"202","2024-02-17","[[0.0004, 0.0004],[0.000489, 0.000489],[0.000785, 0.000785],[0.000038, 0.000038],[0.000202, 0.000202]]"
+"203","2024-02-18","[[0.000387, 0.000387],[0.000475, 0.000475],[0.000769, 0.000769],[0.000036, 0.000036],[0.000193, 0.000193]]"
+"204","2024-02-19","[[0.000374, 0.000374],[0.000462, 0.000462],[0.000753, 0.000753],[0.000035, 0.000035],[0.000185, 0.000185]]"
+"205","2024-02-20","[[0.000362, 0.000362],[0.000449, 0.000449],[0.000737, 0.000737],[0.000033, 0.000033],[0.000177, 0.000177]]"
+"206","2024-02-21","[[0.00035, 0.00035],[0.000437, 0.000437],[0.000722, 0.000722],[0.000031, 0.000031],[0.000169, 0.000169]]"
+"207","2024-02-22","[[0.000338, 0.000338],[0.000425, 0.000425],[0.000707, 0.000707],[0.000029, 0.000029],[0.000162, 0.000162]]"
+"208","2024-02-23","[[0.000327, 0.000327],[0.000413, 0.000413],[0.000692, 0.000692],[0.000028, 0.000028],[0.000155, 0.000155]]"
+"209","2024-02-24","[[0.000316, 0.000316],[0.000401, 0.000401],[0.000677, 0.000677],[0.000026, 0.000026],[0.000148, 0.000148]]"
+"210","2024-02-25","[[0.000306, 0.000306],[0.00039, 0.00039],[0.000663, 0.000663],[0.000025, 0.000025],[0.000142, 0.000142]]"
+"211","2024-02-26","[[0.000296, 0.000296],[0.000379, 0.000379],[0.000649, 0.000649],[0.000024, 0.000024],[0.000135, 0.000135]]"
+"212","2024-02-27","[[0.000286, 0.000286],[0.000369, 0.000369],[0.000635, 0.000635],[0.000022, 0.000022],[0.000129, 0.000129]]"
+"213","2024-02-28","[[0.000276, 0.000276],[0.000358, 0.000358],[0.000621, 0.000621],[0.000021, 0.000021],[0.000124, 0.000124]]"
+"214","2024-02-29","[[0.000267, 0.000267],[0.000348, 0.000348],[0.000608, 0.000608],[0.00002, 0.00002],[0.000118, 0.000118]]"
+"215","2024-03-01","[[0.000258, 0.000258],[0.000338, 0.000338],[0.000595, 0.000595],[0.000019, 0.000019],[0.000113, 0.000113]]"
+"216","2024-03-02","[[0.00025, 0.00025],[0.000329, 0.000329],[0.000582, 0.000582],[0.000018, 0.000018],[0.000108, 0.000108]]"
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+"252","2024-04-07","[[0.000073, 0.000073],[0.000116, 0.000116],[0.000253, 0.000253],[0.000003, 0.000003],[0.000022, 0.000022]]"
+"253","2024-04-08","[[0.00007, 0.00007],[0.000113, 0.000113],[0.000247, 0.000247],[0.000002, 0.000002],[0.000021, 0.000021]]"
+"254","2024-04-09","[[0.000068, 0.000068],[0.000109, 0.000109],[0.000242, 0.000242],[0.000002, 0.000002],[0.00002, 0.00002]]"
+"255","2024-04-10","[[0.000066, 0.000066],[0.000106, 0.000106],[0.000236, 0.000236],[0.000002, 0.000002],[0.000019, 0.000019]]"
+"256","2024-04-11","[[0.000064, 0.000064],[0.000103, 0.000103],[0.00023, 0.00023],[0.000002, 0.000002],[0.000018, 0.000018]]"
+"257","2024-04-12","[[0.000061, 0.000061],[0.0001, 0.0001],[0.000225, 0.000225],[0.000002, 0.000002],[0.000017, 0.000017]]"
+"258","2024-04-13","[[0.000059, 0.000059],[0.000097, 0.000097],[0.000219, 0.000219],[0.000002, 0.000002],[0.000016, 0.000016]]"
+"259","2024-04-14","[[0.000057, 0.000057],[0.000094, 0.000094],[0.000214, 0.000214],[0.000002, 0.000002],[0.000016, 0.000016]]"
+"260","2024-04-15","[[0.000055, 0.000055],[0.000092, 0.000092],[0.000209, 0.000209],[0.000002, 0.000002],[0.000015, 0.000015]]"
+"261","2024-04-16","[[0.000054, 0.000054],[0.000089, 0.000089],[0.000204, 0.000204],[0.000002, 0.000002],[0.000014, 0.000014]]"
+"262","2024-04-17","[[0.000052, 0.000052],[0.000086, 0.000086],[0.000199, 0.000199],[0.000001, 0.000001],[0.000014, 0.000014]]"
+"263","2024-04-18","[[0.00005, 0.00005],[0.000084, 0.000084],[0.000194, 0.000194],[0.000001, 0.000001],[0.000013, 0.000013]]"
+"264","2024-04-19","[[0.000048, 0.000048],[0.000081, 0.000081],[0.00019, 0.00019],[0.000001, 0.000001],[0.000013, 0.000013]]"
+"265","2024-04-20","[[0.000047, 0.000047],[0.000079, 0.000079],[0.000185, 0.000185],[0.000001, 0.000001],[0.000012, 0.000012]]"
+"266","2024-04-21","[[0.000045, 0.000045],[0.000077, 0.000077],[0.000181, 0.000181],[0.000001, 0.000001],[0.000011, 0.000011]]"
+"267","2024-04-22","[[0.000044, 0.000044],[0.000075, 0.000075],[0.000176, 0.000176],[0.000001, 0.000001],[0.000011, 0.000011]]"
+"268","2024-04-23","[[0.000042, 0.000042],[0.000072, 0.000072],[0.000172, 0.000172],[0.000001, 0.000001],[0.000011, 0.000011]]"
+"269","2024-04-24","[[0.000041, 0.000041],[0.00007, 0.00007],[0.000168, 0.000168],[0.000001, 0.000001],[0.00001, 0.00001]]"
+"270","2024-04-25","[[0.000039, 0.000039],[0.000068, 0.000068],[0.000164, 0.000164],[0.000001, 0.000001],[0.00001, 0.00001]]"
+"271","2024-04-26","[[0.000038, 0.000038],[0.000066, 0.000066],[0.00016, 0.00016],[0.000001, 0.000001],[0.000009, 0.000009]]"
+"272","2024-04-27","[[0.000037, 0.000037],[0.000064, 0.000064],[0.000156, 0.000156],[0.000001, 0.000001],[0.000009, 0.000009]]"
+"273","2024-04-28","[[0.000035, 0.000035],[0.000062, 0.000062],[0.000152, 0.000152],[0.000001, 0.000001],[0.000008, 0.000008]]"
+"274","2024-04-29","[[0.000034, 0.000034],[0.000061, 0.000061],[0.000149, 0.000149],[0.000001, 0.000001],[0.000008, 0.000008]]"
+"275","2024-04-30","[[0.000033, 0.000033],[0.000059, 0.000059],[0.000145, 0.000145],[0.000001, 0.000001],[0.000008, 0.000008]]"
+"276","2024-05-01","[[0.000032, 0.000032],[0.000057, 0.000057],[0.000142, 0.000142],[0.000001, 0.000001],[0.000007, 0.000007]]"
+"277","2024-05-02","[[0.000031, 0.000031],[0.000056, 0.000056],[0.000138, 0.000138],[0.000001, 0.000001],[0.000007, 0.000007]]"
+"278","2024-05-03","[[0.00003, 0.00003],[0.000054, 0.000054],[0.000135, 0.000135],[0.000001, 0.000001],[0.000007, 0.000007]]"
+"279","2024-05-04","[[0.000029, 0.000029],[0.000052, 0.000052],[0.000131, 0.000131],[0.000001, 0.000001],[0.000006, 0.000006]]"
+"280","2024-05-05","[[0.000028, 0.000028],[0.000051, 0.000051],[0.000128, 0.000128],[0.000001, 0.000001],[0.000006, 0.000006]]"
+"281","2024-05-06","[[0.000027, 0.000027],[0.000049, 0.000049],[0.000125, 0.000125],[0.000001, 0.000001],[0.000006, 0.000006]]"
+"282","2024-05-07","[[0.000026, 0.000026],[0.000048, 0.000048],[0.000122, 0.000122],[0.000001, 0.000001],[0.000006, 0.000006]]"
+"283","2024-05-08","[[0.000025, 0.000025],[0.000047, 0.000047],[0.000119, 0.000119],[0, 0],[0.000005, 0.000005]]"
+"284","2024-05-09","[[0.000024, 0.000024],[0.000045, 0.000045],[0.000116, 0.000116],[0, 0],[0.000005, 0.000005]]"
+"285","2024-05-10","[[0.000023, 0.000023],[0.000044, 0.000044],[0.000113, 0.000113],[0, 0],[0.000005, 0.000005]]"
+"286","2024-05-11","[[0.000023, 0.000023],[0.000043, 0.000043],[0.000111, 0.000111],[0, 0],[0.000005, 0.000005]]"
+"287","2024-05-12","[[0.000022, 0.000022],[0.000041, 0.000041],[0.000108, 0.000108],[0, 0],[0.000004, 0.000004]]"
+"288","2024-05-13","[[0.000021, 0.000021],[0.00004, 0.00004],[0.000105, 0.000105],[0, 0],[0.000004, 0.000004]]"
+"289","2024-05-14","[[0.00002, 0.00002],[0.000039, 0.000039],[0.000103, 0.000103],[0, 0],[0.000004, 0.000004]]"
+"290","2024-05-15","[[0.00002, 0.00002],[0.000038, 0.000038],[0.0001, 0.0001],[0, 0],[0.000004, 0.000004]]"
+"291","2024-05-16","[[0.000019, 0.000019],[0.000037, 0.000037],[0.000098, 0.000098],[0, 0],[0.000004, 0.000004]]"
+"292","2024-05-17","[[0.000018, 0.000018],[0.000036, 0.000036],[0.000095, 0.000095],[0, 0],[0.000004, 0.000004]]"
+"293","2024-05-18","[[0.000018, 0.000018],[0.000035, 0.000035],[0.000093, 0.000093],[0, 0],[0.000003, 0.000003]]"
+"294","2024-05-19","[[0.000017, 0.000017],[0.000034, 0.000034],[0.000091, 0.000091],[0, 0],[0.000003, 0.000003]]"
+"295","2024-05-20","[[0.000017, 0.000017],[0.000033, 0.000033],[0.000089, 0.000089],[0, 0],[0.000003, 0.000003]]"
+"296","2024-05-21","[[0.000016, 0.000016],[0.000032, 0.000032],[0.000086, 0.000086],[0, 0],[0.000003, 0.000003]]"
+"297","2024-05-22","[[0.000015, 0.000015],[0.000031, 0.000031],[0.000084, 0.000084],[0, 0],[0.000003, 0.000003]]"
+"298","2024-05-23","[[0.000015, 0.000015],[0.00003, 0.00003],[0.000082, 0.000082],[0, 0],[0.000003, 0.000003]]"
+"299","2024-05-24","[[0.000014, 0.000014],[0.000029, 0.000029],[0.00008, 0.00008],[0, 0],[0.000003, 0.000003]]"
+"300","2024-05-25","[[0.000014, 0.000014],[0.000028, 0.000028],[0.000078, 0.000078],[0, 0],[0.000002, 0.000002]]"
+"301","2024-05-26","[[0.000013, 0.000013],[0.000027, 0.000027],[0.000076, 0.000076],[0, 0],[0.000002, 0.000002]]"
+"302","2024-05-27","[[0.000013, 0.000013],[0.000027, 0.000027],[0.000074, 0.000074],[0, 0],[0.000002, 0.000002]]"
+"303","2024-05-28","[[0.000013, 0.000013],[0.000026, 0.000026],[0.000073, 0.000073],[0, 0],[0.000002, 0.000002]]"
+"304","2024-05-29","[[0.000012, 0.000012],[0.000025, 0.000025],[0.000071, 0.000071],[0, 0],[0.000002, 0.000002]]"
+"305","2024-05-30","[[0.000012, 0.000012],[0.000024, 0.000024],[0.000069, 0.000069],[0, 0],[0.000002, 0.000002]]"
+"306","2024-05-31","[[0.000011, 0.000011],[0.000024, 0.000024],[0.000067, 0.000067],[0, 0],[0.000002, 0.000002]]"
diff --git a/flu_instances/austin3_input_files_2023_2024/daily_vaccines_Mid.csv b/flu_instances/austin3_input_files_2023_2024/daily_vaccines_Mid.csv
new file mode 100644
index 0000000..7b9df00
--- /dev/null
+++ b/flu_instances/austin3_input_files_2023_2024/daily_vaccines_Mid.csv
@@ -0,0 +1,307 @@
+"","date","daily_vaccines"
+"1","2023-07-31","[[0.039602, 0.039602],[0.055846, 0.055846],[0.025378, 0.025378],[0.005216, 0.005216],[0.016904, 0.016904]]"
+"2","2023-08-01","[[0.00132, 0.00132],[0.001541, 0.001541],[0.000611, 0.000611],[0.000287, 0.000287],[0.000762, 0.000762]]"
+"3","2023-08-02","[[0.001361, 0.001361],[0.001579, 0.001579],[0.000625, 0.000625],[0.000303, 0.000303],[0.000795, 0.000795]]"
+"4","2023-08-03","[[0.001404, 0.001404],[0.001618, 0.001618],[0.000639, 0.000639],[0.000319, 0.000319],[0.00083, 0.00083]]"
+"5","2023-08-04","[[0.001448, 0.001448],[0.001658, 0.001658],[0.000653, 0.000653],[0.000336, 0.000336],[0.000867, 0.000867]]"
+"6","2023-08-05","[[0.001492, 0.001492],[0.001699, 0.001699],[0.000668, 0.000668],[0.000354, 0.000354],[0.000905, 0.000905]]"
+"7","2023-08-06","[[0.001538, 0.001538],[0.001741, 0.001741],[0.000682, 0.000682],[0.000374, 0.000374],[0.000944, 0.000944]]"
+"8","2023-08-07","[[0.001586, 0.001586],[0.001783, 0.001783],[0.000698, 0.000698],[0.000394, 0.000394],[0.000985, 0.000985]]"
+"9","2023-08-08","[[0.001634, 0.001634],[0.001826, 0.001826],[0.000713, 0.000713],[0.000415, 0.000415],[0.001028, 0.001028]]"
+"10","2023-08-09","[[0.001684, 0.001684],[0.001869, 0.001869],[0.000729, 0.000729],[0.000437, 0.000437],[0.001073, 0.001073]]"
+"11","2023-08-10","[[0.001735, 0.001735],[0.001914, 0.001914],[0.000744, 0.000744],[0.000461, 0.000461],[0.001119, 0.001119]]"
+"12","2023-08-11","[[0.001787, 0.001787],[0.001959, 0.001959],[0.000761, 0.000761],[0.000485, 0.000485],[0.001167, 0.001167]]"
+"13","2023-08-12","[[0.001841, 0.001841],[0.002005, 0.002005],[0.000777, 0.000777],[0.000511, 0.000511],[0.001218, 0.001218]]"
+"14","2023-08-13","[[0.001895, 0.001895],[0.002052, 0.002052],[0.000794, 0.000794],[0.000538, 0.000538],[0.00127, 0.00127]]"
+"15","2023-08-14","[[0.001951, 0.001951],[0.002099, 0.002099],[0.000811, 0.000811],[0.000567, 0.000567],[0.001324, 0.001324]]"
+"16","2023-08-15","[[0.002009, 0.002009],[0.002147, 0.002147],[0.000828, 0.000828],[0.000597, 0.000597],[0.00138, 0.00138]]"
+"17","2023-08-16","[[0.002067, 0.002067],[0.002195, 0.002195],[0.000846, 0.000846],[0.000629, 0.000629],[0.001439, 0.001439]]"
+"18","2023-08-17","[[0.002127, 0.002127],[0.002245, 0.002245],[0.000864, 0.000864],[0.000662, 0.000662],[0.0015, 0.0015]]"
+"19","2023-08-18","[[0.002189, 0.002189],[0.002295, 0.002295],[0.000882, 0.000882],[0.000697, 0.000697],[0.001563, 0.001563]]"
+"20","2023-08-19","[[0.002251, 0.002251],[0.002345, 0.002345],[0.0009, 0.0009],[0.000733, 0.000733],[0.001629, 0.001629]]"
+"21","2023-08-20","[[0.002315, 0.002315],[0.002397, 0.002397],[0.000919, 0.000919],[0.000771, 0.000771],[0.001697, 0.001697]]"
+"22","2023-08-21","[[0.002381, 0.002381],[0.002449, 0.002449],[0.000938, 0.000938],[0.000812, 0.000812],[0.001767, 0.001767]]"
+"23","2023-08-22","[[0.002447, 0.002447],[0.002501, 0.002501],[0.000958, 0.000958],[0.000854, 0.000854],[0.00184, 0.00184]]"
+"24","2023-08-23","[[0.002515, 0.002515],[0.002554, 0.002554],[0.000977, 0.000977],[0.000898, 0.000898],[0.001916, 0.001916]]"
+"25","2023-08-24","[[0.002584, 0.002584],[0.002608, 0.002608],[0.000997, 0.000997],[0.000944, 0.000944],[0.001995, 0.001995]]"
+"26","2023-08-25","[[0.002655, 0.002655],[0.002662, 0.002662],[0.001017, 0.001017],[0.000992, 0.000992],[0.002076, 0.002076]]"
+"27","2023-08-26","[[0.002727, 0.002727],[0.002717, 0.002717],[0.001038, 0.001038],[0.001043, 0.001043],[0.00216, 0.00216]]"
+"28","2023-08-27","[[0.0028, 0.0028],[0.002772, 0.002772],[0.001059, 0.001059],[0.001095, 0.001095],[0.002247, 0.002247]]"
+"29","2023-08-28","[[0.002874, 0.002874],[0.002827, 0.002827],[0.00108, 0.00108],[0.001151, 0.001151],[0.002337, 0.002337]]"
+"30","2023-08-29","[[0.002949, 0.002949],[0.002883, 0.002883],[0.001101, 0.001101],[0.001208, 0.001208],[0.00243, 0.00243]]"
+"31","2023-08-30","[[0.003026, 0.003026],[0.002939, 0.002939],[0.001123, 0.001123],[0.001269, 0.001269],[0.002526, 0.002526]]"
+"32","2023-08-31","[[0.003104, 0.003104],[0.002996, 0.002996],[0.001145, 0.001145],[0.001331, 0.001331],[0.002625, 0.002625]]"
+"33","2023-09-01","[[0.003182, 0.003182],[0.003053, 0.003053],[0.001167, 0.001167],[0.001397, 0.001397],[0.002728, 0.002728]]"
+"34","2023-09-02","[[0.003262, 0.003262],[0.00311, 0.00311],[0.001189, 0.001189],[0.001465, 0.001465],[0.002833, 0.002833]]"
+"35","2023-09-03","[[0.003343, 0.003343],[0.003167, 0.003167],[0.001212, 0.001212],[0.001536, 0.001536],[0.002942, 0.002942]]"
+"36","2023-09-04","[[0.003425, 0.003425],[0.003225, 0.003225],[0.001235, 0.001235],[0.00161, 0.00161],[0.003054, 0.003054]]"
+"37","2023-09-05","[[0.003508, 0.003508],[0.003283, 0.003283],[0.001258, 0.001258],[0.001687, 0.001687],[0.003169, 0.003169]]"
+"38","2023-09-06","[[0.003592, 0.003592],[0.00334, 0.00334],[0.001282, 0.001282],[0.001767, 0.001767],[0.003287, 0.003287]]"
+"39","2023-09-07","[[0.003676, 0.003676],[0.003398, 0.003398],[0.001305, 0.001305],[0.00185, 0.00185],[0.003409, 0.003409]]"
+"40","2023-09-08","[[0.003761, 0.003761],[0.003456, 0.003456],[0.001329, 0.001329],[0.001936, 0.001936],[0.003534, 0.003534]]"
+"41","2023-09-09","[[0.003847, 0.003847],[0.003513, 0.003513],[0.001353, 0.001353],[0.002025, 0.002025],[0.003662, 0.003662]]"
+"42","2023-09-10","[[0.003934, 0.003934],[0.003571, 0.003571],[0.001378, 0.001378],[0.002118, 0.002118],[0.003793, 0.003793]]"
+"43","2023-09-11","[[0.004021, 0.004021],[0.003628, 0.003628],[0.001402, 0.001402],[0.002213, 0.002213],[0.003928, 0.003928]]"
+"44","2023-09-12","[[0.004108, 0.004108],[0.003685, 0.003685],[0.001427, 0.001427],[0.002311, 0.002311],[0.004065, 0.004065]]"
+"45","2023-09-13","[[0.004196, 0.004196],[0.003742, 0.003742],[0.001452, 0.001452],[0.002413, 0.002413],[0.004206, 0.004206]]"
+"46","2023-09-14","[[0.004284, 0.004284],[0.003799, 0.003799],[0.001477, 0.001477],[0.002518, 0.002518],[0.00435, 0.00435]]"
+"47","2023-09-15","[[0.004372, 0.004372],[0.003855, 0.003855],[0.001503, 0.001503],[0.002625, 0.002625],[0.004496, 0.004496]]"
+"48","2023-09-16","[[0.004461, 0.004461],[0.00391, 0.00391],[0.001528, 0.001528],[0.002736, 0.002736],[0.004645, 0.004645]]"
+"49","2023-09-17","[[0.004549, 0.004549],[0.003965, 0.003965],[0.001554, 0.001554],[0.00285, 0.00285],[0.004797, 0.004797]]"
+"50","2023-09-18","[[0.004637, 0.004637],[0.004019, 0.004019],[0.00158, 0.00158],[0.002966, 0.002966],[0.004951, 0.004951]]"
+"51","2023-09-19","[[0.004724, 0.004724],[0.004073, 0.004073],[0.001605, 0.001605],[0.003085, 0.003085],[0.005108, 0.005108]]"
+"52","2023-09-20","[[0.004812, 0.004812],[0.004126, 0.004126],[0.001631, 0.001631],[0.003206, 0.003206],[0.005266, 0.005266]]"
+"53","2023-09-21","[[0.004899, 0.004899],[0.004178, 0.004178],[0.001658, 0.001658],[0.00333, 0.00333],[0.005427, 0.005427]]"
+"54","2023-09-22","[[0.004985, 0.004985],[0.004229, 0.004229],[0.001684, 0.001684],[0.003456, 0.003456],[0.005589, 0.005589]]"
+"55","2023-09-23","[[0.00507, 0.00507],[0.00428, 0.00428],[0.00171, 0.00171],[0.003584, 0.003584],[0.005753, 0.005753]]"
+"56","2023-09-24","[[0.005155, 0.005155],[0.004329, 0.004329],[0.001737, 0.001737],[0.003713, 0.003713],[0.005918, 0.005918]]"
+"57","2023-09-25","[[0.005238, 0.005238],[0.004377, 0.004377],[0.001763, 0.001763],[0.003844, 0.003844],[0.006084, 0.006084]]"
+"58","2023-09-26","[[0.005321, 0.005321],[0.004424, 0.004424],[0.001789, 0.001789],[0.003976, 0.003976],[0.00625, 0.00625]]"
+"59","2023-09-27","[[0.005402, 0.005402],[0.00447, 0.00447],[0.001816, 0.001816],[0.004109, 0.004109],[0.006417, 0.006417]]"
+"60","2023-09-28","[[0.005481, 0.005481],[0.004514, 0.004514],[0.001842, 0.001842],[0.004242, 0.004242],[0.006584, 0.006584]]"
+"61","2023-09-29","[[0.005559, 0.005559],[0.004558, 0.004558],[0.001869, 0.001869],[0.004375, 0.004375],[0.006751, 0.006751]]"
+"62","2023-09-30","[[0.005636, 0.005636],[0.004599, 0.004599],[0.001895, 0.001895],[0.004508, 0.004508],[0.006917, 0.006917]]"
+"63","2023-10-01","[[0.00571, 0.00571],[0.00464, 0.00464],[0.001921, 0.001921],[0.004641, 0.004641],[0.007082, 0.007082]]"
+"64","2023-10-02","[[0.005782, 0.005782],[0.004678, 0.004678],[0.001948, 0.001948],[0.004772, 0.004772],[0.007246, 0.007246]]"
+"65","2023-10-03","[[0.005853, 0.005853],[0.004716, 0.004716],[0.001974, 0.001974],[0.004901, 0.004901],[0.007407, 0.007407]]"
+"66","2023-10-04","[[0.005921, 0.005921],[0.004751, 0.004751],[0.002, 0.002],[0.005028, 0.005028],[0.007567, 0.007567]]"
+"67","2023-10-05","[[0.005986, 0.005986],[0.004785, 0.004785],[0.002026, 0.002026],[0.005152, 0.005152],[0.007723, 0.007723]]"
+"68","2023-10-06","[[0.006049, 0.006049],[0.004817, 0.004817],[0.002052, 0.002052],[0.005274, 0.005274],[0.007877, 0.007877]]"
+"69","2023-10-07","[[0.00611, 0.00611],[0.004847, 0.004847],[0.002077, 0.002077],[0.005391, 0.005391],[0.008027, 0.008027]]"
+"70","2023-10-08","[[0.006167, 0.006167],[0.004875, 0.004875],[0.002103, 0.002103],[0.005505, 0.005505],[0.008173, 0.008173]]"
+"71","2023-10-09","[[0.006222, 0.006222],[0.004902, 0.004902],[0.002128, 0.002128],[0.005614, 0.005614],[0.008315, 0.008315]]"
+"72","2023-10-10","[[0.006274, 0.006274],[0.004926, 0.004926],[0.002153, 0.002153],[0.005717, 0.005717],[0.008451, 0.008451]]"
+"73","2023-10-11","[[0.006322, 0.006322],[0.004949, 0.004949],[0.002177, 0.002177],[0.005815, 0.005815],[0.008582, 0.008582]]"
+"74","2023-10-12","[[0.006367, 0.006367],[0.004969, 0.004969],[0.002202, 0.002202],[0.005907, 0.005907],[0.008708, 0.008708]]"
+"75","2023-10-13","[[0.006409, 0.006409],[0.004987, 0.004987],[0.002226, 0.002226],[0.005992, 0.005992],[0.008827, 0.008827]]"
+"76","2023-10-14","[[0.006447, 0.006447],[0.005004, 0.005004],[0.00225, 0.00225],[0.006069, 0.006069],[0.00894, 0.00894]]"
+"77","2023-10-15","[[0.006482, 0.006482],[0.005018, 0.005018],[0.002273, 0.002273],[0.00614, 0.00614],[0.009045, 0.009045]]"
+"78","2023-10-16","[[0.006513, 0.006513],[0.00503, 0.00503],[0.002296, 0.002296],[0.006202, 0.006202],[0.009143, 0.009143]]"
+"79","2023-10-17","[[0.006541, 0.006541],[0.005039, 0.005039],[0.002319, 0.002319],[0.006256, 0.006256],[0.009234, 0.009234]]"
+"80","2023-10-18","[[0.006565, 0.006565],[0.005047, 0.005047],[0.002341, 0.002341],[0.006302, 0.006302],[0.009316, 0.009316]]"
+"81","2023-10-19","[[0.006585, 0.006585],[0.005052, 0.005052],[0.002363, 0.002363],[0.006338, 0.006338],[0.00939, 0.00939]]"
+"82","2023-10-20","[[0.006601, 0.006601],[0.005055, 0.005055],[0.002384, 0.002384],[0.006366, 0.006366],[0.009455, 0.009455]]"
+"83","2023-10-21","[[0.006613, 0.006613],[0.005056, 0.005056],[0.002405, 0.002405],[0.006384, 0.006384],[0.009511, 0.009511]]"
+"84","2023-10-22","[[0.006621, 0.006621],[0.005055, 0.005055],[0.002425, 0.002425],[0.006393, 0.006393],[0.009557, 0.009557]]"
+"85","2023-10-23","[[0.006625, 0.006625],[0.005051, 0.005051],[0.002445, 0.002445],[0.006393, 0.006393],[0.009595, 0.009595]]"
+"86","2023-10-24","[[0.006625, 0.006625],[0.005046, 0.005046],[0.002464, 0.002464],[0.006383, 0.006383],[0.009623, 0.009623]]"
+"87","2023-10-25","[[0.006622, 0.006622],[0.005038, 0.005038],[0.002483, 0.002483],[0.006364, 0.006364],[0.009641, 0.009641]]"
+"88","2023-10-26","[[0.006614, 0.006614],[0.005027, 0.005027],[0.002501, 0.002501],[0.006336, 0.006336],[0.00965, 0.00965]]"
+"89","2023-10-27","[[0.006602, 0.006602],[0.005015, 0.005015],[0.002518, 0.002518],[0.006299, 0.006299],[0.009649, 0.009649]]"
+"90","2023-10-28","[[0.006587, 0.006587],[0.005, 0.005],[0.002535, 0.002535],[0.006253, 0.006253],[0.009638, 0.009638]]"
+"91","2023-10-29","[[0.006568, 0.006568],[0.004984, 0.004984],[0.002552, 0.002552],[0.006198, 0.006198],[0.009617, 0.009617]]"
+"92","2023-10-30","[[0.006544, 0.006544],[0.004965, 0.004965],[0.002567, 0.002567],[0.006136, 0.006136],[0.009587, 0.009587]]"
+"93","2023-10-31","[[0.006517, 0.006517],[0.004944, 0.004944],[0.002582, 0.002582],[0.006065, 0.006065],[0.009547, 0.009547]]"
+"94","2023-11-01","[[0.006487, 0.006487],[0.004921, 0.004921],[0.002596, 0.002596],[0.005987, 0.005987],[0.009498, 0.009498]]"
+"95","2023-11-02","[[0.006452, 0.006452],[0.004897, 0.004897],[0.002609, 0.002609],[0.005901, 0.005901],[0.00944, 0.00944]]"
+"96","2023-11-03","[[0.006415, 0.006415],[0.00487, 0.00487],[0.002622, 0.002622],[0.005809, 0.005809],[0.009373, 0.009373]]"
+"97","2023-11-04","[[0.006373, 0.006373],[0.004841, 0.004841],[0.002634, 0.002634],[0.005711, 0.005711],[0.009297, 0.009297]]"
+"98","2023-11-05","[[0.006328, 0.006328],[0.004811, 0.004811],[0.002645, 0.002645],[0.005607, 0.005607],[0.009213, 0.009213]]"
+"99","2023-11-06","[[0.00628, 0.00628],[0.004778, 0.004778],[0.002656, 0.002656],[0.005498, 0.005498],[0.00912, 0.00912]]"
+"100","2023-11-07","[[0.006229, 0.006229],[0.004744, 0.004744],[0.002665, 0.002665],[0.005384, 0.005384],[0.00902, 0.00902]]"
+"101","2023-11-08","[[0.006175, 0.006175],[0.004708, 0.004708],[0.002674, 0.002674],[0.005266, 0.005266],[0.008913, 0.008913]]"
+"102","2023-11-09","[[0.006118, 0.006118],[0.004671, 0.004671],[0.002682, 0.002682],[0.005145, 0.005145],[0.008799, 0.008799]]"
+"103","2023-11-10","[[0.006058, 0.006058],[0.004632, 0.004632],[0.002689, 0.002689],[0.00502, 0.00502],[0.008678, 0.008678]]"
+"104","2023-11-11","[[0.005995, 0.005995],[0.004591, 0.004591],[0.002695, 0.002695],[0.004893, 0.004893],[0.008551, 0.008551]]"
+"105","2023-11-12","[[0.00593, 0.00593],[0.004549, 0.004549],[0.002701, 0.002701],[0.004763, 0.004763],[0.008419, 0.008419]]"
+"106","2023-11-13","[[0.005862, 0.005862],[0.004506, 0.004506],[0.002706, 0.002706],[0.004632, 0.004632],[0.008281, 0.008281]]"
+"107","2023-11-14","[[0.005792, 0.005792],[0.004461, 0.004461],[0.002709, 0.002709],[0.0045, 0.0045],[0.008138, 0.008138]]"
+"108","2023-11-15","[[0.00572, 0.00572],[0.004415, 0.004415],[0.002712, 0.002712],[0.004367, 0.004367],[0.007991, 0.007991]]"
+"109","2023-11-16","[[0.005646, 0.005646],[0.004368, 0.004368],[0.002714, 0.002714],[0.004234, 0.004234],[0.00784, 0.00784]]"
+"110","2023-11-17","[[0.00557, 0.00557],[0.004319, 0.004319],[0.002715, 0.002715],[0.004101, 0.004101],[0.007686, 0.007686]]"
+"111","2023-11-18","[[0.005492, 0.005492],[0.00427, 0.00427],[0.002716, 0.002716],[0.003968, 0.003968],[0.007529, 0.007529]]"
+"112","2023-11-19","[[0.005413, 0.005413],[0.004219, 0.004219],[0.002715, 0.002715],[0.003836, 0.003836],[0.007369, 0.007369]]"
+"113","2023-11-20","[[0.005332, 0.005332],[0.004168, 0.004168],[0.002714, 0.002714],[0.003705, 0.003705],[0.007207, 0.007207]]"
+"114","2023-11-21","[[0.00525, 0.00525],[0.004115, 0.004115],[0.002711, 0.002711],[0.003576, 0.003576],[0.007043, 0.007043]]"
+"115","2023-11-22","[[0.005166, 0.005166],[0.004062, 0.004062],[0.002708, 0.002708],[0.003448, 0.003448],[0.006877, 0.006877]]"
+"116","2023-11-23","[[0.005082, 0.005082],[0.004009, 0.004009],[0.002704, 0.002704],[0.003322, 0.003322],[0.006711, 0.006711]]"
+"117","2023-11-24","[[0.004997, 0.004997],[0.003954, 0.003954],[0.002699, 0.002699],[0.003199, 0.003199],[0.006544, 0.006544]]"
+"118","2023-11-25","[[0.004911, 0.004911],[0.003899, 0.003899],[0.002693, 0.002693],[0.003077, 0.003077],[0.006377, 0.006377]]"
+"119","2023-11-26","[[0.004824, 0.004824],[0.003843, 0.003843],[0.002687, 0.002687],[0.002958, 0.002958],[0.00621, 0.00621]]"
+"120","2023-11-27","[[0.004736, 0.004736],[0.003787, 0.003787],[0.002679, 0.002679],[0.002842, 0.002842],[0.006044, 0.006044]]"
+"121","2023-11-28","[[0.004649, 0.004649],[0.003731, 0.003731],[0.002671, 0.002671],[0.002729, 0.002729],[0.005878, 0.005878]]"
+"122","2023-11-29","[[0.004561, 0.004561],[0.003674, 0.003674],[0.002662, 0.002662],[0.002619, 0.002619],[0.005713, 0.005713]]"
+"123","2023-11-30","[[0.004473, 0.004473],[0.003617, 0.003617],[0.002652, 0.002652],[0.002511, 0.002511],[0.00555, 0.00555]]"
+"124","2023-12-01","[[0.004384, 0.004384],[0.003559, 0.003559],[0.002642, 0.002642],[0.002407, 0.002407],[0.005388, 0.005388]]"
+"125","2023-12-02","[[0.004296, 0.004296],[0.003502, 0.003502],[0.00263, 0.00263],[0.002305, 0.002305],[0.005228, 0.005228]]"
+"126","2023-12-03","[[0.004208, 0.004208],[0.003444, 0.003444],[0.002618, 0.002618],[0.002207, 0.002207],[0.00507, 0.00507]]"
+"127","2023-12-04","[[0.00412, 0.00412],[0.003386, 0.003386],[0.002605, 0.002605],[0.002112, 0.002112],[0.004914, 0.004914]]"
+"128","2023-12-05","[[0.004033, 0.004033],[0.003329, 0.003329],[0.002591, 0.002591],[0.00202, 0.00202],[0.00476, 0.00476]]"
+"129","2023-12-06","[[0.003946, 0.003946],[0.003271, 0.003271],[0.002577, 0.002577],[0.001931, 0.001931],[0.004609, 0.004609]]"
+"130","2023-12-07","[[0.003859, 0.003859],[0.003213, 0.003213],[0.002562, 0.002562],[0.001845, 0.001845],[0.004461, 0.004461]]"
+"131","2023-12-08","[[0.003773, 0.003773],[0.003156, 0.003156],[0.002546, 0.002546],[0.001762, 0.001762],[0.004315, 0.004315]]"
+"132","2023-12-09","[[0.003688, 0.003688],[0.003098, 0.003098],[0.00253, 0.00253],[0.001682, 0.001682],[0.004172, 0.004172]]"
+"133","2023-12-10","[[0.003603, 0.003603],[0.003041, 0.003041],[0.002513, 0.002513],[0.001606, 0.001606],[0.004032, 0.004032]]"
+"134","2023-12-11","[[0.003519, 0.003519],[0.002985, 0.002985],[0.002495, 0.002495],[0.001532, 0.001532],[0.003895, 0.003895]]"
+"135","2023-12-12","[[0.003436, 0.003436],[0.002928, 0.002928],[0.002477, 0.002477],[0.001461, 0.001461],[0.003762, 0.003762]]"
+"136","2023-12-13","[[0.003354, 0.003354],[0.002872, 0.002872],[0.002458, 0.002458],[0.001393, 0.001393],[0.003631, 0.003631]]"
+"137","2023-12-14","[[0.003273, 0.003273],[0.002816, 0.002816],[0.002438, 0.002438],[0.001327, 0.001327],[0.003504, 0.003504]]"
+"138","2023-12-15","[[0.003193, 0.003193],[0.00276, 0.00276],[0.002418, 0.002418],[0.001265, 0.001265],[0.00338, 0.00338]]"
+"139","2023-12-16","[[0.003114, 0.003114],[0.002706, 0.002706],[0.002398, 0.002398],[0.001205, 0.001205],[0.003259, 0.003259]]"
+"140","2023-12-17","[[0.003036, 0.003036],[0.002651, 0.002651],[0.002377, 0.002377],[0.001147, 0.001147],[0.003141, 0.003141]]"
+"141","2023-12-18","[[0.00296, 0.00296],[0.002597, 0.002597],[0.002355, 0.002355],[0.001092, 0.001092],[0.003027, 0.003027]]"
+"142","2023-12-19","[[0.002884, 0.002884],[0.002543, 0.002543],[0.002333, 0.002333],[0.001039, 0.001039],[0.002915, 0.002915]]"
+"143","2023-12-20","[[0.00281, 0.00281],[0.002491, 0.002491],[0.002311, 0.002311],[0.000989, 0.000989],[0.002807, 0.002807]]"
+"144","2023-12-21","[[0.002737, 0.002737],[0.002438, 0.002438],[0.002288, 0.002288],[0.000941, 0.000941],[0.002703, 0.002703]]"
+"145","2023-12-22","[[0.002665, 0.002665],[0.002386, 0.002386],[0.002265, 0.002265],[0.000895, 0.000895],[0.002601, 0.002601]]"
+"146","2023-12-23","[[0.002594, 0.002594],[0.002335, 0.002335],[0.002242, 0.002242],[0.000851, 0.000851],[0.002503, 0.002503]]"
+"147","2023-12-24","[[0.002525, 0.002525],[0.002285, 0.002285],[0.002218, 0.002218],[0.000809, 0.000809],[0.002407, 0.002407]]"
+"148","2023-12-25","[[0.002456, 0.002456],[0.002235, 0.002235],[0.002194, 0.002194],[0.000769, 0.000769],[0.002315, 0.002315]]"
+"149","2023-12-26","[[0.00239, 0.00239],[0.002186, 0.002186],[0.002169, 0.002169],[0.000731, 0.000731],[0.002226, 0.002226]]"
+"150","2023-12-27","[[0.002324, 0.002324],[0.002137, 0.002137],[0.002144, 0.002144],[0.000694, 0.000694],[0.002139, 0.002139]]"
+"151","2023-12-28","[[0.00226, 0.00226],[0.002089, 0.002089],[0.002119, 0.002119],[0.00066, 0.00066],[0.002056, 0.002056]]"
+"152","2023-12-29","[[0.002197, 0.002197],[0.002042, 0.002042],[0.002094, 0.002094],[0.000627, 0.000627],[0.001975, 0.001975]]"
+"153","2023-12-30","[[0.002136, 0.002136],[0.001996, 0.001996],[0.002069, 0.002069],[0.000595, 0.000595],[0.001898, 0.001898]]"
+"154","2023-12-31","[[0.002076, 0.002076],[0.00195, 0.00195],[0.002043, 0.002043],[0.000565, 0.000565],[0.001822, 0.001822]]"
+"155","2024-01-01","[[0.002017, 0.002017],[0.001905, 0.001905],[0.002017, 0.002017],[0.000537, 0.000537],[0.00175, 0.00175]]"
+"156","2024-01-02","[[0.001959, 0.001959],[0.001861, 0.001861],[0.001991, 0.001991],[0.00051, 0.00051],[0.00168, 0.00168]]"
+"157","2024-01-03","[[0.001903, 0.001903],[0.001817, 0.001817],[0.001965, 0.001965],[0.000484, 0.000484],[0.001613, 0.001613]]"
+"158","2024-01-04","[[0.001848, 0.001848],[0.001774, 0.001774],[0.001939, 0.001939],[0.000459, 0.000459],[0.001548, 0.001548]]"
+"159","2024-01-05","[[0.001794, 0.001794],[0.001732, 0.001732],[0.001913, 0.001913],[0.000436, 0.000436],[0.001485, 0.001485]]"
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+"276","2024-05-01","[[0.000036, 0.000036],[0.000065, 0.000065],[0.000161, 0.000161],[0.000001, 0.000001],[0.000008, 0.000008]]"
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+"280","2024-05-05","[[0.000032, 0.000032],[0.000058, 0.000058],[0.000146, 0.000146],[0.000001, 0.000001],[0.000007, 0.000007]]"
+"281","2024-05-06","[[0.000031, 0.000031],[0.000056, 0.000056],[0.000143, 0.000143],[0.000001, 0.000001],[0.000007, 0.000007]]"
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+"285","2024-05-10","[[0.000027, 0.000027],[0.00005, 0.00005],[0.000129, 0.000129],[0, 0],[0.000006, 0.000006]]"
+"286","2024-05-11","[[0.000026, 0.000026],[0.000049, 0.000049],[0.000126, 0.000126],[0, 0],[0.000005, 0.000005]]"
+"287","2024-05-12","[[0.000025, 0.000025],[0.000047, 0.000047],[0.000123, 0.000123],[0, 0],[0.000005, 0.000005]]"
+"288","2024-05-13","[[0.000024, 0.000024],[0.000046, 0.000046],[0.00012, 0.00012],[0, 0],[0.000005, 0.000005]]"
+"289","2024-05-14","[[0.000023, 0.000023],[0.000044, 0.000044],[0.000117, 0.000117],[0, 0],[0.000005, 0.000005]]"
+"290","2024-05-15","[[0.000022, 0.000022],[0.000043, 0.000043],[0.000114, 0.000114],[0, 0],[0.000004, 0.000004]]"
+"291","2024-05-16","[[0.000022, 0.000022],[0.000042, 0.000042],[0.000111, 0.000111],[0, 0],[0.000004, 0.000004]]"
+"292","2024-05-17","[[0.000021, 0.000021],[0.000041, 0.000041],[0.000109, 0.000109],[0, 0],[0.000004, 0.000004]]"
+"293","2024-05-18","[[0.00002, 0.00002],[0.000039, 0.000039],[0.000106, 0.000106],[0, 0],[0.000004, 0.000004]]"
+"294","2024-05-19","[[0.00002, 0.00002],[0.000038, 0.000038],[0.000103, 0.000103],[0, 0],[0.000004, 0.000004]]"
+"295","2024-05-20","[[0.000019, 0.000019],[0.000037, 0.000037],[0.000101, 0.000101],[0, 0],[0.000004, 0.000004]]"
+"296","2024-05-21","[[0.000018, 0.000018],[0.000036, 0.000036],[0.000098, 0.000098],[0, 0],[0.000003, 0.000003]]"
+"297","2024-05-22","[[0.000018, 0.000018],[0.000035, 0.000035],[0.000096, 0.000096],[0, 0],[0.000003, 0.000003]]"
+"298","2024-05-23","[[0.000017, 0.000017],[0.000034, 0.000034],[0.000094, 0.000094],[0, 0],[0.000003, 0.000003]]"
+"299","2024-05-24","[[0.000016, 0.000016],[0.000033, 0.000033],[0.000091, 0.000091],[0, 0],[0.000003, 0.000003]]"
+"300","2024-05-25","[[0.000016, 0.000016],[0.000032, 0.000032],[0.000089, 0.000089],[0, 0],[0.000003, 0.000003]]"
+"301","2024-05-26","[[0.000015, 0.000015],[0.000031, 0.000031],[0.000087, 0.000087],[0, 0],[0.000003, 0.000003]]"
+"302","2024-05-27","[[0.000015, 0.000015],[0.00003, 0.00003],[0.000085, 0.000085],[0, 0],[0.000003, 0.000003]]"
+"303","2024-05-28","[[0.000014, 0.000014],[0.000029, 0.000029],[0.000083, 0.000083],[0, 0],[0.000002, 0.000002]]"
+"304","2024-05-29","[[0.000014, 0.000014],[0.000028, 0.000028],[0.000081, 0.000081],[0, 0],[0.000002, 0.000002]]"
+"305","2024-05-30","[[0.000013, 0.000013],[0.000028, 0.000028],[0.000079, 0.000079],[0, 0],[0.000002, 0.000002]]"
+"306","2024-05-31","[[0.000013, 0.000013],[0.000027, 0.000027],[0.000077, 0.000077],[0, 0],[0.000002, 0.000002]]"
diff --git a/flu_instances/austin3_input_files_2023_2024/daily_vaccines_West.csv b/flu_instances/austin3_input_files_2023_2024/daily_vaccines_West.csv
new file mode 100644
index 0000000..8378e9d
--- /dev/null
+++ b/flu_instances/austin3_input_files_2023_2024/daily_vaccines_West.csv
@@ -0,0 +1,307 @@
+"","date","daily_vaccines"
+"1","2023-07-31","[[0.041534, 0.041534],[0.05857, 0.05857],[0.026616, 0.026616],[0.00547, 0.00547],[0.017728, 0.017728]]"
+"2","2023-08-01","[[0.001384, 0.001384],[0.001616, 0.001616],[0.000641, 0.000641],[0.000301, 0.000301],[0.000799, 0.000799]]"
+"3","2023-08-02","[[0.001428, 0.001428],[0.001656, 0.001656],[0.000655, 0.000655],[0.000317, 0.000317],[0.000834, 0.000834]]"
+"4","2023-08-03","[[0.001472, 0.001472],[0.001697, 0.001697],[0.00067, 0.00067],[0.000335, 0.000335],[0.000871, 0.000871]]"
+"5","2023-08-04","[[0.001518, 0.001518],[0.001739, 0.001739],[0.000685, 0.000685],[0.000353, 0.000353],[0.000909, 0.000909]]"
+"6","2023-08-05","[[0.001565, 0.001565],[0.001782, 0.001782],[0.0007, 0.0007],[0.000372, 0.000372],[0.000949, 0.000949]]"
+"7","2023-08-06","[[0.001614, 0.001614],[0.001826, 0.001826],[0.000716, 0.000716],[0.000392, 0.000392],[0.00099, 0.00099]]"
+"8","2023-08-07","[[0.001663, 0.001663],[0.00187, 0.00187],[0.000732, 0.000732],[0.000413, 0.000413],[0.001033, 0.001033]]"
+"9","2023-08-08","[[0.001714, 0.001714],[0.001915, 0.001915],[0.000748, 0.000748],[0.000435, 0.000435],[0.001078, 0.001078]]"
+"10","2023-08-09","[[0.001766, 0.001766],[0.001961, 0.001961],[0.000764, 0.000764],[0.000459, 0.000459],[0.001125, 0.001125]]"
+"11","2023-08-10","[[0.001819, 0.001819],[0.002007, 0.002007],[0.000781, 0.000781],[0.000483, 0.000483],[0.001174, 0.001174]]"
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+"13","2023-08-12","[[0.00193, 0.00193],[0.002103, 0.002103],[0.000815, 0.000815],[0.000536, 0.000536],[0.001277, 0.001277]]"
+"14","2023-08-13","[[0.001988, 0.001988],[0.002152, 0.002152],[0.000833, 0.000833],[0.000565, 0.000565],[0.001332, 0.001332]]"
+"15","2023-08-14","[[0.002047, 0.002047],[0.002201, 0.002201],[0.000851, 0.000851],[0.000595, 0.000595],[0.001389, 0.001389]]"
+"16","2023-08-15","[[0.002107, 0.002107],[0.002252, 0.002252],[0.000869, 0.000869],[0.000626, 0.000626],[0.001448, 0.001448]]"
+"17","2023-08-16","[[0.002168, 0.002168],[0.002303, 0.002303],[0.000887, 0.000887],[0.000659, 0.000659],[0.001509, 0.001509]]"
+"18","2023-08-17","[[0.002231, 0.002231],[0.002354, 0.002354],[0.000906, 0.000906],[0.000694, 0.000694],[0.001573, 0.001573]]"
+"19","2023-08-18","[[0.002296, 0.002296],[0.002407, 0.002407],[0.000925, 0.000925],[0.000731, 0.000731],[0.001639, 0.001639]]"
+"20","2023-08-19","[[0.002361, 0.002361],[0.00246, 0.00246],[0.000944, 0.000944],[0.000769, 0.000769],[0.001708, 0.001708]]"
+"21","2023-08-20","[[0.002428, 0.002428],[0.002514, 0.002514],[0.000964, 0.000964],[0.000809, 0.000809],[0.001779, 0.001779]]"
+"22","2023-08-21","[[0.002497, 0.002497],[0.002568, 0.002568],[0.000984, 0.000984],[0.000851, 0.000851],[0.001853, 0.001853]]"
+"23","2023-08-22","[[0.002567, 0.002567],[0.002623, 0.002623],[0.001004, 0.001004],[0.000895, 0.000895],[0.00193, 0.00193]]"
+"24","2023-08-23","[[0.002638, 0.002638],[0.002679, 0.002679],[0.001025, 0.001025],[0.000941, 0.000941],[0.002009, 0.002009]]"
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+"26","2023-08-25","[[0.002784, 0.002784],[0.002792, 0.002792],[0.001067, 0.001067],[0.00104, 0.00104],[0.002177, 0.002177]]"
+"27","2023-08-26","[[0.00286, 0.00286],[0.002849, 0.002849],[0.001089, 0.001089],[0.001093, 0.001093],[0.002265, 0.002265]]"
+"28","2023-08-27","[[0.002936, 0.002936],[0.002907, 0.002907],[0.00111, 0.00111],[0.001149, 0.001149],[0.002357, 0.002357]]"
+"29","2023-08-28","[[0.003014, 0.003014],[0.002965, 0.002965],[0.001133, 0.001133],[0.001207, 0.001207],[0.002451, 0.002451]]"
+"30","2023-08-29","[[0.003093, 0.003093],[0.003024, 0.003024],[0.001155, 0.001155],[0.001267, 0.001267],[0.002549, 0.002549]]"
+"31","2023-08-30","[[0.003173, 0.003173],[0.003083, 0.003083],[0.001178, 0.001178],[0.00133, 0.00133],[0.002649, 0.002649]]"
+"32","2023-08-31","[[0.003255, 0.003255],[0.003142, 0.003142],[0.001201, 0.001201],[0.001396, 0.001396],[0.002753, 0.002753]]"
+"33","2023-09-01","[[0.003338, 0.003338],[0.003202, 0.003202],[0.001224, 0.001224],[0.001465, 0.001465],[0.002861, 0.002861]]"
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+"37","2023-09-05","[[0.003679, 0.003679],[0.003443, 0.003443],[0.00132, 0.00132],[0.00177, 0.00177],[0.003323, 0.003323]]"
+"38","2023-09-06","[[0.003767, 0.003767],[0.003503, 0.003503],[0.001344, 0.001344],[0.001853, 0.001853],[0.003448, 0.003448]]"
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+"40","2023-09-08","[[0.003945, 0.003945],[0.003624, 0.003624],[0.001394, 0.001394],[0.002031, 0.002031],[0.003706, 0.003706]]"
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+"43","2023-09-11","[[0.004217, 0.004217],[0.003805, 0.003805],[0.001471, 0.001471],[0.002321, 0.002321],[0.00412, 0.00412]]"
+"44","2023-09-12","[[0.004309, 0.004309],[0.003865, 0.003865],[0.001497, 0.001497],[0.002424, 0.002424],[0.004264, 0.004264]]"
+"45","2023-09-13","[[0.004401, 0.004401],[0.003925, 0.003925],[0.001523, 0.001523],[0.002531, 0.002531],[0.004411, 0.004411]]"
+"46","2023-09-14","[[0.004493, 0.004493],[0.003984, 0.003984],[0.001549, 0.001549],[0.002641, 0.002641],[0.004562, 0.004562]]"
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+"48","2023-09-16","[[0.004678, 0.004678],[0.004101, 0.004101],[0.001603, 0.001603],[0.002869, 0.002869],[0.004872, 0.004872]]"
+"49","2023-09-17","[[0.004771, 0.004771],[0.004159, 0.004159],[0.00163, 0.00163],[0.002989, 0.002989],[0.005031, 0.005031]]"
+"50","2023-09-18","[[0.004863, 0.004863],[0.004216, 0.004216],[0.001657, 0.001657],[0.003111, 0.003111],[0.005193, 0.005193]]"
+"51","2023-09-19","[[0.004955, 0.004955],[0.004272, 0.004272],[0.001684, 0.001684],[0.003235, 0.003235],[0.005357, 0.005357]]"
+"52","2023-09-20","[[0.005047, 0.005047],[0.004327, 0.004327],[0.001711, 0.001711],[0.003363, 0.003363],[0.005523, 0.005523]]"
+"53","2023-09-21","[[0.005138, 0.005138],[0.004382, 0.004382],[0.001738, 0.001738],[0.003492, 0.003492],[0.005692, 0.005692]]"
+"54","2023-09-22","[[0.005228, 0.005228],[0.004436, 0.004436],[0.001766, 0.001766],[0.003624, 0.003624],[0.005862, 0.005862]]"
+"55","2023-09-23","[[0.005318, 0.005318],[0.004488, 0.004488],[0.001794, 0.001794],[0.003759, 0.003759],[0.006033, 0.006033]]"
+"56","2023-09-24","[[0.005406, 0.005406],[0.00454, 0.00454],[0.001821, 0.001821],[0.003894, 0.003894],[0.006207, 0.006207]]"
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+"58","2023-09-26","[[0.00558, 0.00558],[0.00464, 0.00464],[0.001877, 0.001877],[0.00417, 0.00417],[0.006555, 0.006555]]"
+"59","2023-09-27","[[0.005665, 0.005665],[0.004688, 0.004688],[0.001904, 0.001904],[0.004309, 0.004309],[0.00673, 0.00673]]"
+"60","2023-09-28","[[0.005749, 0.005749],[0.004735, 0.004735],[0.001932, 0.001932],[0.004449, 0.004449],[0.006906, 0.006906]]"
+"61","2023-09-29","[[0.005831, 0.005831],[0.00478, 0.00478],[0.00196, 0.00196],[0.004589, 0.004589],[0.00708, 0.00708]]"
+"62","2023-09-30","[[0.005911, 0.005911],[0.004824, 0.004824],[0.001988, 0.001988],[0.004728, 0.004728],[0.007255, 0.007255]]"
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+"64","2023-10-02","[[0.006065, 0.006065],[0.004907, 0.004907],[0.002043, 0.002043],[0.005004, 0.005004],[0.007599, 0.007599]]"
+"65","2023-10-03","[[0.006138, 0.006138],[0.004946, 0.004946],[0.00207, 0.00207],[0.00514, 0.00514],[0.007769, 0.007769]]"
+"66","2023-10-04","[[0.00621, 0.00621],[0.004983, 0.004983],[0.002097, 0.002097],[0.005273, 0.005273],[0.007936, 0.007936]]"
+"67","2023-10-05","[[0.006278, 0.006278],[0.005018, 0.005018],[0.002125, 0.002125],[0.005404, 0.005404],[0.0081, 0.0081]]"
+"68","2023-10-06","[[0.006345, 0.006345],[0.005052, 0.005052],[0.002152, 0.002152],[0.005531, 0.005531],[0.008261, 0.008261]]"
+"69","2023-10-07","[[0.006408, 0.006408],[0.005083, 0.005083],[0.002178, 0.002178],[0.005654, 0.005654],[0.008419, 0.008419]]"
+"70","2023-10-08","[[0.006468, 0.006468],[0.005113, 0.005113],[0.002205, 0.002205],[0.005773, 0.005773],[0.008572, 0.008572]]"
+"71","2023-10-09","[[0.006526, 0.006526],[0.005141, 0.005141],[0.002232, 0.002232],[0.005888, 0.005888],[0.00872, 0.00872]]"
+"72","2023-10-10","[[0.00658, 0.00658],[0.005166, 0.005166],[0.002258, 0.002258],[0.005996, 0.005996],[0.008863, 0.008863]]"
+"73","2023-10-11","[[0.006631, 0.006631],[0.00519, 0.00519],[0.002284, 0.002284],[0.006099, 0.006099],[0.009001, 0.009001]]"
+"74","2023-10-12","[[0.006678, 0.006678],[0.005211, 0.005211],[0.002309, 0.002309],[0.006195, 0.006195],[0.009133, 0.009133]]"
+"75","2023-10-13","[[0.006722, 0.006722],[0.005231, 0.005231],[0.002334, 0.002334],[0.006284, 0.006284],[0.009258, 0.009258]]"
+"76","2023-10-14","[[0.006762, 0.006762],[0.005248, 0.005248],[0.002359, 0.002359],[0.006366, 0.006366],[0.009376, 0.009376]]"
+"77","2023-10-15","[[0.006798, 0.006798],[0.005262, 0.005262],[0.002384, 0.002384],[0.006439, 0.006439],[0.009486, 0.009486]]"
+"78","2023-10-16","[[0.006831, 0.006831],[0.005275, 0.005275],[0.002408, 0.002408],[0.006505, 0.006505],[0.009589, 0.009589]]"
+"79","2023-10-17","[[0.00686, 0.00686],[0.005285, 0.005285],[0.002432, 0.002432],[0.006561, 0.006561],[0.009684, 0.009684]]"
+"80","2023-10-18","[[0.006885, 0.006885],[0.005293, 0.005293],[0.002455, 0.002455],[0.006609, 0.006609],[0.00977, 0.00977]]"
+"81","2023-10-19","[[0.006906, 0.006906],[0.005299, 0.005299],[0.002478, 0.002478],[0.006647, 0.006647],[0.009848, 0.009848]]"
+"82","2023-10-20","[[0.006923, 0.006923],[0.005302, 0.005302],[0.0025, 0.0025],[0.006676, 0.006676],[0.009916, 0.009916]]"
+"83","2023-10-21","[[0.006935, 0.006935],[0.005303, 0.005303],[0.002522, 0.002522],[0.006696, 0.006696],[0.009975, 0.009975]]"
+"84","2023-10-22","[[0.006944, 0.006944],[0.005301, 0.005301],[0.002543, 0.002543],[0.006705, 0.006705],[0.010024, 0.010024]]"
+"85","2023-10-23","[[0.006948, 0.006948],[0.005298, 0.005298],[0.002564, 0.002564],[0.006705, 0.006705],[0.010063, 0.010063]]"
+"86","2023-10-24","[[0.006949, 0.006949],[0.005292, 0.005292],[0.002584, 0.002584],[0.006695, 0.006695],[0.010092, 0.010092]]"
+"87","2023-10-25","[[0.006945, 0.006945],[0.005283, 0.005283],[0.002604, 0.002604],[0.006675, 0.006675],[0.010112, 0.010112]]"
+"88","2023-10-26","[[0.006937, 0.006937],[0.005273, 0.005273],[0.002623, 0.002623],[0.006645, 0.006645],[0.010121, 0.010121]]"
+"89","2023-10-27","[[0.006925, 0.006925],[0.00526, 0.00526],[0.002641, 0.002641],[0.006606, 0.006606],[0.010119, 0.010119]]"
+"90","2023-10-28","[[0.006908, 0.006908],[0.005244, 0.005244],[0.002659, 0.002659],[0.006558, 0.006558],[0.010108, 0.010108]]"
+"91","2023-10-29","[[0.006888, 0.006888],[0.005227, 0.005227],[0.002676, 0.002676],[0.006501, 0.006501],[0.010086, 0.010086]]"
+"92","2023-10-30","[[0.006864, 0.006864],[0.005207, 0.005207],[0.002692, 0.002692],[0.006435, 0.006435],[0.010054, 0.010054]]"
+"93","2023-10-31","[[0.006835, 0.006835],[0.005185, 0.005185],[0.002708, 0.002708],[0.006361, 0.006361],[0.010013, 0.010013]]"
+"94","2023-11-01","[[0.006803, 0.006803],[0.005162, 0.005162],[0.002723, 0.002723],[0.006279, 0.006279],[0.009961, 0.009961]]"
+"95","2023-11-02","[[0.006767, 0.006767],[0.005135, 0.005135],[0.002737, 0.002737],[0.006189, 0.006189],[0.0099, 0.0099]]"
+"96","2023-11-03","[[0.006727, 0.006727],[0.005107, 0.005107],[0.00275, 0.00275],[0.006092, 0.006092],[0.00983, 0.00983]]"
+"97","2023-11-04","[[0.006684, 0.006684],[0.005077, 0.005077],[0.002763, 0.002763],[0.005989, 0.005989],[0.00975, 0.00975]]"
+"98","2023-11-05","[[0.006637, 0.006637],[0.005045, 0.005045],[0.002774, 0.002774],[0.005881, 0.005881],[0.009662, 0.009662]]"
+"99","2023-11-06","[[0.006587, 0.006587],[0.005011, 0.005011],[0.002785, 0.002785],[0.005766, 0.005766],[0.009565, 0.009565]]"
+"100","2023-11-07","[[0.006533, 0.006533],[0.004975, 0.004975],[0.002795, 0.002795],[0.005647, 0.005647],[0.00946, 0.00946]]"
+"101","2023-11-08","[[0.006476, 0.006476],[0.004938, 0.004938],[0.002804, 0.002804],[0.005523, 0.005523],[0.009348, 0.009348]]"
+"102","2023-11-09","[[0.006416, 0.006416],[0.004899, 0.004899],[0.002813, 0.002813],[0.005396, 0.005396],[0.009228, 0.009228]]"
+"103","2023-11-10","[[0.006353, 0.006353],[0.004858, 0.004858],[0.00282, 0.00282],[0.005265, 0.005265],[0.009102, 0.009102]]"
+"104","2023-11-11","[[0.006288, 0.006288],[0.004815, 0.004815],[0.002827, 0.002827],[0.005131, 0.005131],[0.008969, 0.008969]]"
+"105","2023-11-12","[[0.006219, 0.006219],[0.004771, 0.004771],[0.002833, 0.002833],[0.004996, 0.004996],[0.008829, 0.008829]]"
+"106","2023-11-13","[[0.006148, 0.006148],[0.004725, 0.004725],[0.002837, 0.002837],[0.004858, 0.004858],[0.008685, 0.008685]]"
+"107","2023-11-14","[[0.006075, 0.006075],[0.004678, 0.004678],[0.002841, 0.002841],[0.00472, 0.00472],[0.008535, 0.008535]]"
+"108","2023-11-15","[[0.005999, 0.005999],[0.00463, 0.00463],[0.002844, 0.002844],[0.00458, 0.00458],[0.008381, 0.008381]]"
+"109","2023-11-16","[[0.005921, 0.005921],[0.004581, 0.004581],[0.002847, 0.002847],[0.00444, 0.00444],[0.008223, 0.008223]]"
+"110","2023-11-17","[[0.005842, 0.005842],[0.00453, 0.00453],[0.002848, 0.002848],[0.004301, 0.004301],[0.008061, 0.008061]]"
+"111","2023-11-18","[[0.00576, 0.00576],[0.004478, 0.004478],[0.002848, 0.002848],[0.004161, 0.004161],[0.007896, 0.007896]]"
+"112","2023-11-19","[[0.005677, 0.005677],[0.004425, 0.004425],[0.002847, 0.002847],[0.004023, 0.004023],[0.007728, 0.007728]]"
+"113","2023-11-20","[[0.005592, 0.005592],[0.004371, 0.004371],[0.002846, 0.002846],[0.003886, 0.003886],[0.007558, 0.007558]]"
+"114","2023-11-21","[[0.005506, 0.005506],[0.004316, 0.004316],[0.002844, 0.002844],[0.00375, 0.00375],[0.007386, 0.007386]]"
+"115","2023-11-22","[[0.005418, 0.005418],[0.004261, 0.004261],[0.00284, 0.00284],[0.003616, 0.003616],[0.007213, 0.007213]]"
+"116","2023-11-23","[[0.00533, 0.00533],[0.004204, 0.004204],[0.002836, 0.002836],[0.003484, 0.003484],[0.007039, 0.007039]]"
+"117","2023-11-24","[[0.00524, 0.00524],[0.004147, 0.004147],[0.002831, 0.002831],[0.003355, 0.003355],[0.006864, 0.006864]]"
+"118","2023-11-25","[[0.00515, 0.00515],[0.004089, 0.004089],[0.002825, 0.002825],[0.003227, 0.003227],[0.006688, 0.006688]]"
+"119","2023-11-26","[[0.005059, 0.005059],[0.004031, 0.004031],[0.002818, 0.002818],[0.003103, 0.003103],[0.006513, 0.006513]]"
+"120","2023-11-27","[[0.004968, 0.004968],[0.003972, 0.003972],[0.00281, 0.00281],[0.002981, 0.002981],[0.006339, 0.006339]]"
+"121","2023-11-28","[[0.004876, 0.004876],[0.003913, 0.003913],[0.002801, 0.002801],[0.002862, 0.002862],[0.006165, 0.006165]]"
+"122","2023-11-29","[[0.004783, 0.004783],[0.003853, 0.003853],[0.002792, 0.002792],[0.002746, 0.002746],[0.005992, 0.005992]]"
+"123","2023-11-30","[[0.004691, 0.004691],[0.003793, 0.003793],[0.002782, 0.002782],[0.002634, 0.002634],[0.005821, 0.005821]]"
+"124","2023-12-01","[[0.004598, 0.004598],[0.003733, 0.003733],[0.00277, 0.00277],[0.002524, 0.002524],[0.005651, 0.005651]]"
+"125","2023-12-02","[[0.004506, 0.004506],[0.003673, 0.003673],[0.002758, 0.002758],[0.002418, 0.002418],[0.005483, 0.005483]]"
+"126","2023-12-03","[[0.004413, 0.004413],[0.003612, 0.003612],[0.002746, 0.002746],[0.002314, 0.002314],[0.005317, 0.005317]]"
+"127","2023-12-04","[[0.004321, 0.004321],[0.003552, 0.003552],[0.002732, 0.002732],[0.002215, 0.002215],[0.005154, 0.005154]]"
+"128","2023-12-05","[[0.004229, 0.004229],[0.003491, 0.003491],[0.002718, 0.002718],[0.002118, 0.002118],[0.004992, 0.004992]]"
+"129","2023-12-06","[[0.004138, 0.004138],[0.00343, 0.00343],[0.002703, 0.002703],[0.002025, 0.002025],[0.004834, 0.004834]]"
+"130","2023-12-07","[[0.004047, 0.004047],[0.00337, 0.00337],[0.002687, 0.002687],[0.001935, 0.001935],[0.004678, 0.004678]]"
+"131","2023-12-08","[[0.003957, 0.003957],[0.00331, 0.00331],[0.00267, 0.00267],[0.001848, 0.001848],[0.004525, 0.004525]]"
+"132","2023-12-09","[[0.003868, 0.003868],[0.00325, 0.00325],[0.002653, 0.002653],[0.001764, 0.001764],[0.004376, 0.004376]]"
+"133","2023-12-10","[[0.003779, 0.003779],[0.00319, 0.00319],[0.002635, 0.002635],[0.001684, 0.001684],[0.004229, 0.004229]]"
+"134","2023-12-11","[[0.003691, 0.003691],[0.00313, 0.00313],[0.002617, 0.002617],[0.001606, 0.001606],[0.004085, 0.004085]]"
+"135","2023-12-12","[[0.003604, 0.003604],[0.003071, 0.003071],[0.002597, 0.002597],[0.001532, 0.001532],[0.003945, 0.003945]]"
+"136","2023-12-13","[[0.003518, 0.003518],[0.003012, 0.003012],[0.002578, 0.002578],[0.001461, 0.001461],[0.003808, 0.003808]]"
+"137","2023-12-14","[[0.003433, 0.003433],[0.002953, 0.002953],[0.002557, 0.002557],[0.001392, 0.001392],[0.003675, 0.003675]]"
+"138","2023-12-15","[[0.003349, 0.003349],[0.002895, 0.002895],[0.002536, 0.002536],[0.001326, 0.001326],[0.003544, 0.003544]]"
+"139","2023-12-16","[[0.003266, 0.003266],[0.002837, 0.002837],[0.002515, 0.002515],[0.001263, 0.001263],[0.003418, 0.003418]]"
+"140","2023-12-17","[[0.003185, 0.003185],[0.00278, 0.00278],[0.002493, 0.002493],[0.001203, 0.001203],[0.003294, 0.003294]]"
+"141","2023-12-18","[[0.003104, 0.003104],[0.002724, 0.002724],[0.00247, 0.00247],[0.001145, 0.001145],[0.003174, 0.003174]]"
+"142","2023-12-19","[[0.003025, 0.003025],[0.002668, 0.002668],[0.002447, 0.002447],[0.00109, 0.00109],[0.003058, 0.003058]]"
+"143","2023-12-20","[[0.002947, 0.002947],[0.002612, 0.002612],[0.002424, 0.002424],[0.001037, 0.001037],[0.002944, 0.002944]]"
+"144","2023-12-21","[[0.00287, 0.00287],[0.002557, 0.002557],[0.0024, 0.0024],[0.000987, 0.000987],[0.002835, 0.002835]]"
+"145","2023-12-22","[[0.002795, 0.002795],[0.002503, 0.002503],[0.002376, 0.002376],[0.000938, 0.000938],[0.002728, 0.002728]]"
+"146","2023-12-23","[[0.00272, 0.00272],[0.002449, 0.002449],[0.002351, 0.002351],[0.000892, 0.000892],[0.002625, 0.002625]]"
+"147","2023-12-24","[[0.002648, 0.002648],[0.002396, 0.002396],[0.002326, 0.002326],[0.000848, 0.000848],[0.002525, 0.002525]]"
+"148","2023-12-25","[[0.002576, 0.002576],[0.002344, 0.002344],[0.002301, 0.002301],[0.000806, 0.000806],[0.002428, 0.002428]]"
+"149","2023-12-26","[[0.002506, 0.002506],[0.002292, 0.002292],[0.002275, 0.002275],[0.000766, 0.000766],[0.002334, 0.002334]]"
+"150","2023-12-27","[[0.002438, 0.002438],[0.002241, 0.002241],[0.002249, 0.002249],[0.000728, 0.000728],[0.002244, 0.002244]]"
+"151","2023-12-28","[[0.00237, 0.00237],[0.002191, 0.002191],[0.002223, 0.002223],[0.000692, 0.000692],[0.002156, 0.002156]]"
+"152","2023-12-29","[[0.002304, 0.002304],[0.002142, 0.002142],[0.002196, 0.002196],[0.000657, 0.000657],[0.002072, 0.002072]]"
+"153","2023-12-30","[[0.00224, 0.00224],[0.002093, 0.002093],[0.002169, 0.002169],[0.000624, 0.000624],[0.00199, 0.00199]]"
+"154","2023-12-31","[[0.002177, 0.002177],[0.002045, 0.002045],[0.002143, 0.002143],[0.000593, 0.000593],[0.001911, 0.001911]]"
+"155","2024-01-01","[[0.002115, 0.002115],[0.001998, 0.001998],[0.002115, 0.002115],[0.000563, 0.000563],[0.001835, 0.001835]]"
+"156","2024-01-02","[[0.002055, 0.002055],[0.001951, 0.001951],[0.002088, 0.002088],[0.000534, 0.000534],[0.001762, 0.001762]]"
+"157","2024-01-03","[[0.001996, 0.001996],[0.001906, 0.001906],[0.002061, 0.002061],[0.000507, 0.000507],[0.001691, 0.001691]]"
+"158","2024-01-04","[[0.001938, 0.001938],[0.001861, 0.001861],[0.002033, 0.002033],[0.000482, 0.000482],[0.001623, 0.001623]]"
+"159","2024-01-05","[[0.001882, 0.001882],[0.001817, 0.001817],[0.002006, 0.002006],[0.000457, 0.000457],[0.001557, 0.001557]]"
+"160","2024-01-06","[[0.001827, 0.001827],[0.001773, 0.001773],[0.001978, 0.001978],[0.000434, 0.000434],[0.001494, 0.001494]]"
+"161","2024-01-07","[[0.001773, 0.001773],[0.001731, 0.001731],[0.001951, 0.001951],[0.000412, 0.000412],[0.001433, 0.001433]]"
+"162","2024-01-08","[[0.001721, 0.001721],[0.001689, 0.001689],[0.001923, 0.001923],[0.000391, 0.000391],[0.001375, 0.001375]]"
+"163","2024-01-09","[[0.00167, 0.00167],[0.001648, 0.001648],[0.001895, 0.001895],[0.000371, 0.000371],[0.001318, 0.001318]]"
+"164","2024-01-10","[[0.00162, 0.00162],[0.001608, 0.001608],[0.001867, 0.001867],[0.000351, 0.000351],[0.001264, 0.001264]]"
+"165","2024-01-11","[[0.001572, 0.001572],[0.001568, 0.001568],[0.00184, 0.00184],[0.000333, 0.000333],[0.001212, 0.001212]]"
+"166","2024-01-12","[[0.001525, 0.001525],[0.00153, 0.00153],[0.001812, 0.001812],[0.000316, 0.000316],[0.001162, 0.001162]]"
+"167","2024-01-13","[[0.001479, 0.001479],[0.001492, 0.001492],[0.001784, 0.001784],[0.0003, 0.0003],[0.001114, 0.001114]]"
+"168","2024-01-14","[[0.001434, 0.001434],[0.001455, 0.001455],[0.001757, 0.001757],[0.000284, 0.000284],[0.001067, 0.001067]]"
+"169","2024-01-15","[[0.00139, 0.00139],[0.001418, 0.001418],[0.001729, 0.001729],[0.00027, 0.00027],[0.001023, 0.001023]]"
+"170","2024-01-16","[[0.001348, 0.001348],[0.001383, 0.001383],[0.001702, 0.001702],[0.000256, 0.000256],[0.00098, 0.00098]]"
+"171","2024-01-17","[[0.001306, 0.001306],[0.001348, 0.001348],[0.001675, 0.001675],[0.000243, 0.000243],[0.000939, 0.000939]]"
+"172","2024-01-18","[[0.001266, 0.001266],[0.001314, 0.001314],[0.001647, 0.001647],[0.00023, 0.00023],[0.0009, 0.0009]]"
+"173","2024-01-19","[[0.001227, 0.001227],[0.00128, 0.00128],[0.00162, 0.00162],[0.000218, 0.000218],[0.000862, 0.000862]]"
+"174","2024-01-20","[[0.001189, 0.001189],[0.001247, 0.001247],[0.001594, 0.001594],[0.000207, 0.000207],[0.000825, 0.000825]]"
+"175","2024-01-21","[[0.001152, 0.001152],[0.001215, 0.001215],[0.001567, 0.001567],[0.000196, 0.000196],[0.000791, 0.000791]]"
+"176","2024-01-22","[[0.001116, 0.001116],[0.001184, 0.001184],[0.00154, 0.00154],[0.000186, 0.000186],[0.000757, 0.000757]]"
+"177","2024-01-23","[[0.001081, 0.001081],[0.001153, 0.001153],[0.001514, 0.001514],[0.000176, 0.000176],[0.000725, 0.000725]]"
+"178","2024-01-24","[[0.001048, 0.001048],[0.001123, 0.001123],[0.001488, 0.001488],[0.000167, 0.000167],[0.000694, 0.000694]]"
+"179","2024-01-25","[[0.001015, 0.001015],[0.001094, 0.001094],[0.001462, 0.001462],[0.000158, 0.000158],[0.000665, 0.000665]]"
+"180","2024-01-26","[[0.000983, 0.000983],[0.001066, 0.001066],[0.001436, 0.001436],[0.00015, 0.00015],[0.000636, 0.000636]]"
+"181","2024-01-27","[[0.000952, 0.000952],[0.001038, 0.001038],[0.001411, 0.001411],[0.000142, 0.000142],[0.000609, 0.000609]]"
+"182","2024-01-28","[[0.000921, 0.000921],[0.00101, 0.00101],[0.001386, 0.001386],[0.000135, 0.000135],[0.000583, 0.000583]]"
+"183","2024-01-29","[[0.000892, 0.000892],[0.000984, 0.000984],[0.001361, 0.001361],[0.000128, 0.000128],[0.000558, 0.000558]]"
+"184","2024-01-30","[[0.000864, 0.000864],[0.000958, 0.000958],[0.001336, 0.001336],[0.000121, 0.000121],[0.000534, 0.000534]]"
+"185","2024-01-31","[[0.000836, 0.000836],[0.000932, 0.000932],[0.001311, 0.001311],[0.000115, 0.000115],[0.000512, 0.000512]]"
+"186","2024-02-01","[[0.00081, 0.00081],[0.000907, 0.000907],[0.001287, 0.001287],[0.000109, 0.000109],[0.00049, 0.00049]]"
+"187","2024-02-02","[[0.000784, 0.000784],[0.000883, 0.000883],[0.001263, 0.001263],[0.000103, 0.000103],[0.000469, 0.000469]]"
+"188","2024-02-03","[[0.000758, 0.000758],[0.000859, 0.000859],[0.001239, 0.001239],[0.000098, 0.000098],[0.000448, 0.000448]]"
+"189","2024-02-04","[[0.000734, 0.000734],[0.000836, 0.000836],[0.001216, 0.001216],[0.000093, 0.000093],[0.000429, 0.000429]]"
+"190","2024-02-05","[[0.00071, 0.00071],[0.000814, 0.000814],[0.001193, 0.001193],[0.000088, 0.000088],[0.000411, 0.000411]]"
+"191","2024-02-06","[[0.000687, 0.000687],[0.000792, 0.000792],[0.00117, 0.00117],[0.000083, 0.000083],[0.000393, 0.000393]]"
+"192","2024-02-07","[[0.000665, 0.000665],[0.000771, 0.000771],[0.001147, 0.001147],[0.000079, 0.000079],[0.000376, 0.000376]]"
+"193","2024-02-08","[[0.000644, 0.000644],[0.00075, 0.00075],[0.001125, 0.001125],[0.000075, 0.000075],[0.00036, 0.00036]]"
+"194","2024-02-09","[[0.000623, 0.000623],[0.000729, 0.000729],[0.001103, 0.001103],[0.000071, 0.000071],[0.000344, 0.000344]]"
+"195","2024-02-10","[[0.000603, 0.000603],[0.000709, 0.000709],[0.001081, 0.001081],[0.000067, 0.000067],[0.000329, 0.000329]]"
+"196","2024-02-11","[[0.000583, 0.000583],[0.00069, 0.00069],[0.00106, 0.00106],[0.000063, 0.000063],[0.000315, 0.000315]]"
+"197","2024-02-12","[[0.000564, 0.000564],[0.000671, 0.000671],[0.001039, 0.001039],[0.00006, 0.00006],[0.000301, 0.000301]]"
+"198","2024-02-13","[[0.000545, 0.000545],[0.000653, 0.000653],[0.001018, 0.001018],[0.000057, 0.000057],[0.000288, 0.000288]]"
+"199","2024-02-14","[[0.000528, 0.000528],[0.000635, 0.000635],[0.000998, 0.000998],[0.000054, 0.000054],[0.000276, 0.000276]]"
+"200","2024-02-15","[[0.00051, 0.00051],[0.000618, 0.000618],[0.000977, 0.000977],[0.000051, 0.000051],[0.000264, 0.000264]]"
+"201","2024-02-16","[[0.000494, 0.000494],[0.0006, 0.0006],[0.000957, 0.000957],[0.000048, 0.000048],[0.000252, 0.000252]]"
+"202","2024-02-17","[[0.000477, 0.000477],[0.000584, 0.000584],[0.000938, 0.000938],[0.000046, 0.000046],[0.000241, 0.000241]]"
+"203","2024-02-18","[[0.000462, 0.000462],[0.000568, 0.000568],[0.000919, 0.000919],[0.000044, 0.000044],[0.000231, 0.000231]]"
+"204","2024-02-19","[[0.000447, 0.000447],[0.000552, 0.000552],[0.0009, 0.0009],[0.000041, 0.000041],[0.000221, 0.000221]]"
+"205","2024-02-20","[[0.000432, 0.000432],[0.000537, 0.000537],[0.000881, 0.000881],[0.000039, 0.000039],[0.000211, 0.000211]]"
+"206","2024-02-21","[[0.000418, 0.000418],[0.000522, 0.000522],[0.000863, 0.000863],[0.000037, 0.000037],[0.000202, 0.000202]]"
+"207","2024-02-22","[[0.000404, 0.000404],[0.000507, 0.000507],[0.000844, 0.000844],[0.000035, 0.000035],[0.000193, 0.000193]]"
+"208","2024-02-23","[[0.00039, 0.00039],[0.000493, 0.000493],[0.000827, 0.000827],[0.000033, 0.000033],[0.000185, 0.000185]]"
+"209","2024-02-24","[[0.000378, 0.000378],[0.000479, 0.000479],[0.000809, 0.000809],[0.000031, 0.000031],[0.000177, 0.000177]]"
+"210","2024-02-25","[[0.000365, 0.000365],[0.000466, 0.000466],[0.000792, 0.000792],[0.00003, 0.00003],[0.000169, 0.000169]]"
+"211","2024-02-26","[[0.000353, 0.000353],[0.000453, 0.000453],[0.000775, 0.000775],[0.000028, 0.000028],[0.000162, 0.000162]]"
+"212","2024-02-27","[[0.000341, 0.000341],[0.00044, 0.00044],[0.000759, 0.000759],[0.000027, 0.000027],[0.000155, 0.000155]]"
+"213","2024-02-28","[[0.00033, 0.00033],[0.000428, 0.000428],[0.000742, 0.000742],[0.000025, 0.000025],[0.000148, 0.000148]]"
+"214","2024-02-29","[[0.000319, 0.000319],[0.000416, 0.000416],[0.000726, 0.000726],[0.000024, 0.000024],[0.000141, 0.000141]]"
+"215","2024-03-01","[[0.000308, 0.000308],[0.000404, 0.000404],[0.000711, 0.000711],[0.000023, 0.000023],[0.000135, 0.000135]]"
+"216","2024-03-02","[[0.000298, 0.000298],[0.000393, 0.000393],[0.000695, 0.000695],[0.000022, 0.000022],[0.000129, 0.000129]]"
+"217","2024-03-03","[[0.000288, 0.000288],[0.000382, 0.000382],[0.00068, 0.00068],[0.00002, 0.00002],[0.000124, 0.000124]]"
+"218","2024-03-04","[[0.000279, 0.000279],[0.000371, 0.000371],[0.000665, 0.000665],[0.000019, 0.000019],[0.000118, 0.000118]]"
+"219","2024-03-05","[[0.000269, 0.000269],[0.000361, 0.000361],[0.00065, 0.00065],[0.000018, 0.000018],[0.000113, 0.000113]]"
+"220","2024-03-06","[[0.00026, 0.00026],[0.00035, 0.00035],[0.000636, 0.000636],[0.000017, 0.000017],[0.000108, 0.000108]]"
+"221","2024-03-07","[[0.000252, 0.000252],[0.00034, 0.00034],[0.000622, 0.000622],[0.000016, 0.000016],[0.000103, 0.000103]]"
+"222","2024-03-08","[[0.000243, 0.000243],[0.000331, 0.000331],[0.000608, 0.000608],[0.000016, 0.000016],[0.000099, 0.000099]]"
+"223","2024-03-09","[[0.000235, 0.000235],[0.000321, 0.000321],[0.000595, 0.000595],[0.000015, 0.000015],[0.000095, 0.000095]]"
+"224","2024-03-10","[[0.000227, 0.000227],[0.000312, 0.000312],[0.000581, 0.000581],[0.000014, 0.000014],[0.00009, 0.00009]]"
+"225","2024-03-11","[[0.00022, 0.00022],[0.000303, 0.000303],[0.000568, 0.000568],[0.000013, 0.000013],[0.000086, 0.000086]]"
+"226","2024-03-12","[[0.000212, 0.000212],[0.000295, 0.000295],[0.000556, 0.000556],[0.000013, 0.000013],[0.000083, 0.000083]]"
+"227","2024-03-13","[[0.000205, 0.000205],[0.000286, 0.000286],[0.000543, 0.000543],[0.000012, 0.000012],[0.000079, 0.000079]]"
+"228","2024-03-14","[[0.000198, 0.000198],[0.000278, 0.000278],[0.000531, 0.000531],[0.000011, 0.000011],[0.000076, 0.000076]]"
+"229","2024-03-15","[[0.000192, 0.000192],[0.00027, 0.00027],[0.000519, 0.000519],[0.000011, 0.000011],[0.000072, 0.000072]]"
+"230","2024-03-16","[[0.000185, 0.000185],[0.000263, 0.000263],[0.000507, 0.000507],[0.00001, 0.00001],[0.000069, 0.000069]]"
+"231","2024-03-17","[[0.000179, 0.000179],[0.000255, 0.000255],[0.000496, 0.000496],[0.00001, 0.00001],[0.000066, 0.000066]]"
+"232","2024-03-18","[[0.000173, 0.000173],[0.000248, 0.000248],[0.000484, 0.000484],[0.000009, 0.000009],[0.000063, 0.000063]]"
+"233","2024-03-19","[[0.000167, 0.000167],[0.000241, 0.000241],[0.000473, 0.000473],[0.000009, 0.000009],[0.00006, 0.00006]]"
+"234","2024-03-20","[[0.000162, 0.000162],[0.000234, 0.000234],[0.000463, 0.000463],[0.000008, 0.000008],[0.000058, 0.000058]]"
+"235","2024-03-21","[[0.000156, 0.000156],[0.000227, 0.000227],[0.000452, 0.000452],[0.000008, 0.000008],[0.000055, 0.000055]]"
+"236","2024-03-22","[[0.000151, 0.000151],[0.000221, 0.000221],[0.000442, 0.000442],[0.000007, 0.000007],[0.000053, 0.000053]]"
+"237","2024-03-23","[[0.000146, 0.000146],[0.000214, 0.000214],[0.000431, 0.000431],[0.000007, 0.000007],[0.00005, 0.00005]]"
+"238","2024-03-24","[[0.000141, 0.000141],[0.000208, 0.000208],[0.000421, 0.000421],[0.000007, 0.000007],[0.000048, 0.000048]]"
+"239","2024-03-25","[[0.000136, 0.000136],[0.000202, 0.000202],[0.000412, 0.000412],[0.000006, 0.000006],[0.000046, 0.000046]]"
+"240","2024-03-26","[[0.000132, 0.000132],[0.000196, 0.000196],[0.000402, 0.000402],[0.000006, 0.000006],[0.000044, 0.000044]]"
+"241","2024-03-27","[[0.000127, 0.000127],[0.000191, 0.000191],[0.000393, 0.000393],[0.000006, 0.000006],[0.000042, 0.000042]]"
+"242","2024-03-28","[[0.000123, 0.000123],[0.000185, 0.000185],[0.000384, 0.000384],[0.000005, 0.000005],[0.00004, 0.00004]]"
+"243","2024-03-29","[[0.000119, 0.000119],[0.00018, 0.00018],[0.000375, 0.000375],[0.000005, 0.000005],[0.000039, 0.000039]]"
+"244","2024-03-30","[[0.000115, 0.000115],[0.000175, 0.000175],[0.000366, 0.000366],[0.000005, 0.000005],[0.000037, 0.000037]]"
+"245","2024-03-31","[[0.000111, 0.000111],[0.00017, 0.00017],[0.000357, 0.000357],[0.000004, 0.000004],[0.000035, 0.000035]]"
+"246","2024-04-01","[[0.000107, 0.000107],[0.000165, 0.000165],[0.000349, 0.000349],[0.000004, 0.000004],[0.000034, 0.000034]]"
+"247","2024-04-02","[[0.000103, 0.000103],[0.00016, 0.00016],[0.000341, 0.000341],[0.000004, 0.000004],[0.000032, 0.000032]]"
+"248","2024-04-03","[[0.0001, 0.0001],[0.000156, 0.000156],[0.000333, 0.000333],[0.000004, 0.000004],[0.000031, 0.000031]]"
+"249","2024-04-04","[[0.000097, 0.000097],[0.000151, 0.000151],[0.000325, 0.000325],[0.000004, 0.000004],[0.000029, 0.000029]]"
+"250","2024-04-05","[[0.000093, 0.000093],[0.000147, 0.000147],[0.000317, 0.000317],[0.000003, 0.000003],[0.000028, 0.000028]]"
+"251","2024-04-06","[[0.00009, 0.00009],[0.000142, 0.000142],[0.00031, 0.00031],[0.000003, 0.000003],[0.000027, 0.000027]]"
+"252","2024-04-07","[[0.000087, 0.000087],[0.000138, 0.000138],[0.000303, 0.000303],[0.000003, 0.000003],[0.000026, 0.000026]]"
+"253","2024-04-08","[[0.000084, 0.000084],[0.000134, 0.000134],[0.000295, 0.000295],[0.000003, 0.000003],[0.000025, 0.000025]]"
+"254","2024-04-09","[[0.000081, 0.000081],[0.000131, 0.000131],[0.000288, 0.000288],[0.000003, 0.000003],[0.000024, 0.000024]]"
+"255","2024-04-10","[[0.000079, 0.000079],[0.000127, 0.000127],[0.000282, 0.000282],[0.000003, 0.000003],[0.000023, 0.000023]]"
+"256","2024-04-11","[[0.000076, 0.000076],[0.000123, 0.000123],[0.000275, 0.000275],[0.000002, 0.000002],[0.000022, 0.000022]]"
+"257","2024-04-12","[[0.000073, 0.000073],[0.00012, 0.00012],[0.000268, 0.000268],[0.000002, 0.000002],[0.000021, 0.000021]]"
+"258","2024-04-13","[[0.000071, 0.000071],[0.000116, 0.000116],[0.000262, 0.000262],[0.000002, 0.000002],[0.00002, 0.00002]]"
+"259","2024-04-14","[[0.000068, 0.000068],[0.000113, 0.000113],[0.000256, 0.000256],[0.000002, 0.000002],[0.000019, 0.000019]]"
+"260","2024-04-15","[[0.000066, 0.000066],[0.000109, 0.000109],[0.00025, 0.00025],[0.000002, 0.000002],[0.000018, 0.000018]]"
+"261","2024-04-16","[[0.000064, 0.000064],[0.000106, 0.000106],[0.000244, 0.000244],[0.000002, 0.000002],[0.000017, 0.000017]]"
+"262","2024-04-17","[[0.000062, 0.000062],[0.000103, 0.000103],[0.000238, 0.000238],[0.000002, 0.000002],[0.000016, 0.000016]]"
+"263","2024-04-18","[[0.00006, 0.00006],[0.0001, 0.0001],[0.000232, 0.000232],[0.000002, 0.000002],[0.000016, 0.000016]]"
+"264","2024-04-19","[[0.000058, 0.000058],[0.000097, 0.000097],[0.000227, 0.000227],[0.000002, 0.000002],[0.000015, 0.000015]]"
+"265","2024-04-20","[[0.000056, 0.000056],[0.000094, 0.000094],[0.000221, 0.000221],[0.000002, 0.000002],[0.000014, 0.000014]]"
+"266","2024-04-21","[[0.000054, 0.000054],[0.000092, 0.000092],[0.000216, 0.000216],[0.000001, 0.000001],[0.000014, 0.000014]]"
+"267","2024-04-22","[[0.000052, 0.000052],[0.000089, 0.000089],[0.000211, 0.000211],[0.000001, 0.000001],[0.000013, 0.000013]]"
+"268","2024-04-23","[[0.00005, 0.00005],[0.000086, 0.000086],[0.000206, 0.000206],[0.000001, 0.000001],[0.000013, 0.000013]]"
+"269","2024-04-24","[[0.000049, 0.000049],[0.000084, 0.000084],[0.000201, 0.000201],[0.000001, 0.000001],[0.000012, 0.000012]]"
+"270","2024-04-25","[[0.000047, 0.000047],[0.000082, 0.000082],[0.000196, 0.000196],[0.000001, 0.000001],[0.000011, 0.000011]]"
+"271","2024-04-26","[[0.000045, 0.000045],[0.000079, 0.000079],[0.000191, 0.000191],[0.000001, 0.000001],[0.000011, 0.000011]]"
+"272","2024-04-27","[[0.000044, 0.000044],[0.000077, 0.000077],[0.000186, 0.000186],[0.000001, 0.000001],[0.00001, 0.00001]]"
+"273","2024-04-28","[[0.000042, 0.000042],[0.000075, 0.000075],[0.000182, 0.000182],[0.000001, 0.000001],[0.00001, 0.00001]]"
+"274","2024-04-29","[[0.000041, 0.000041],[0.000072, 0.000072],[0.000178, 0.000178],[0.000001, 0.000001],[0.00001, 0.00001]]"
+"275","2024-04-30","[[0.000039, 0.000039],[0.00007, 0.00007],[0.000173, 0.000173],[0.000001, 0.000001],[0.000009, 0.000009]]"
+"276","2024-05-01","[[0.000038, 0.000038],[0.000068, 0.000068],[0.000169, 0.000169],[0.000001, 0.000001],[0.000009, 0.000009]]"
+"277","2024-05-02","[[0.000037, 0.000037],[0.000066, 0.000066],[0.000165, 0.000165],[0.000001, 0.000001],[0.000008, 0.000008]]"
+"278","2024-05-03","[[0.000036, 0.000036],[0.000064, 0.000064],[0.000161, 0.000161],[0.000001, 0.000001],[0.000008, 0.000008]]"
+"279","2024-05-04","[[0.000034, 0.000034],[0.000063, 0.000063],[0.000157, 0.000157],[0.000001, 0.000001],[0.000008, 0.000008]]"
+"280","2024-05-05","[[0.000033, 0.000033],[0.000061, 0.000061],[0.000153, 0.000153],[0.000001, 0.000001],[0.000007, 0.000007]]"
+"281","2024-05-06","[[0.000032, 0.000032],[0.000059, 0.000059],[0.000149, 0.000149],[0.000001, 0.000001],[0.000007, 0.000007]]"
+"282","2024-05-07","[[0.000031, 0.000031],[0.000057, 0.000057],[0.000146, 0.000146],[0.000001, 0.000001],[0.000007, 0.000007]]"
+"283","2024-05-08","[[0.00003, 0.00003],[0.000056, 0.000056],[0.000142, 0.000142],[0.000001, 0.000001],[0.000006, 0.000006]]"
+"284","2024-05-09","[[0.000029, 0.000029],[0.000054, 0.000054],[0.000139, 0.000139],[0.000001, 0.000001],[0.000006, 0.000006]]"
+"285","2024-05-10","[[0.000028, 0.000028],[0.000052, 0.000052],[0.000135, 0.000135],[0.000001, 0.000001],[0.000006, 0.000006]]"
+"286","2024-05-11","[[0.000027, 0.000027],[0.000051, 0.000051],[0.000132, 0.000132],[0, 0],[0.000006, 0.000006]]"
+"287","2024-05-12","[[0.000026, 0.000026],[0.000049, 0.000049],[0.000129, 0.000129],[0, 0],[0.000005, 0.000005]]"
+"288","2024-05-13","[[0.000025, 0.000025],[0.000048, 0.000048],[0.000126, 0.000126],[0, 0],[0.000005, 0.000005]]"
+"289","2024-05-14","[[0.000024, 0.000024],[0.000047, 0.000047],[0.000123, 0.000123],[0, 0],[0.000005, 0.000005]]"
+"290","2024-05-15","[[0.000023, 0.000023],[0.000045, 0.000045],[0.00012, 0.00012],[0, 0],[0.000005, 0.000005]]"
+"291","2024-05-16","[[0.000023, 0.000023],[0.000044, 0.000044],[0.000117, 0.000117],[0, 0],[0.000004, 0.000004]]"
+"292","2024-05-17","[[0.000022, 0.000022],[0.000043, 0.000043],[0.000114, 0.000114],[0, 0],[0.000004, 0.000004]]"
+"293","2024-05-18","[[0.000021, 0.000021],[0.000041, 0.000041],[0.000111, 0.000111],[0, 0],[0.000004, 0.000004]]"
+"294","2024-05-19","[[0.00002, 0.00002],[0.00004, 0.00004],[0.000108, 0.000108],[0, 0],[0.000004, 0.000004]]"
+"295","2024-05-20","[[0.00002, 0.00002],[0.000039, 0.000039],[0.000106, 0.000106],[0, 0],[0.000004, 0.000004]]"
+"296","2024-05-21","[[0.000019, 0.000019],[0.000038, 0.000038],[0.000103, 0.000103],[0, 0],[0.000004, 0.000004]]"
+"297","2024-05-22","[[0.000018, 0.000018],[0.000037, 0.000037],[0.000101, 0.000101],[0, 0],[0.000003, 0.000003]]"
+"298","2024-05-23","[[0.000018, 0.000018],[0.000036, 0.000036],[0.000098, 0.000098],[0, 0],[0.000003, 0.000003]]"
+"299","2024-05-24","[[0.000017, 0.000017],[0.000035, 0.000035],[0.000096, 0.000096],[0, 0],[0.000003, 0.000003]]"
+"300","2024-05-25","[[0.000017, 0.000017],[0.000034, 0.000034],[0.000093, 0.000093],[0, 0],[0.000003, 0.000003]]"
+"301","2024-05-26","[[0.000016, 0.000016],[0.000033, 0.000033],[0.000091, 0.000091],[0, 0],[0.000003, 0.000003]]"
+"302","2024-05-27","[[0.000016, 0.000016],[0.000032, 0.000032],[0.000089, 0.000089],[0, 0],[0.000003, 0.000003]]"
+"303","2024-05-28","[[0.000015, 0.000015],[0.000031, 0.000031],[0.000087, 0.000087],[0, 0],[0.000003, 0.000003]]"
+"304","2024-05-29","[[0.000014, 0.000014],[0.00003, 0.00003],[0.000085, 0.000085],[0, 0],[0.000002, 0.000002]]"
+"305","2024-05-30","[[0.000014, 0.000014],[0.000029, 0.000029],[0.000082, 0.000082],[0, 0],[0.000002, 0.000002]]"
+"306","2024-05-31","[[0.000014, 0.000014],[0.000028, 0.000028],[0.00008, 0.00008],[0, 0],[0.000002, 0.000002]]"
diff --git a/flu_instances/austin3_input_files_2023_2024/init_vals_East.json b/flu_instances/austin3_input_files_2023_2024/init_vals_East.json
new file mode 100644
index 0000000..f90ae09
--- /dev/null
+++ b/flu_instances/austin3_input_files_2023_2024/init_vals_East.json
@@ -0,0 +1,62 @@
+{
+	"S": [[19728, 1122],
+		[40594, 5654],
+		[152208, 34852],
+		[28427, 15610],
+		[11795, 14342]],
+	"E": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"IP": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"ISR": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"ISH": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"IA": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"HR": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"HD": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"R": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"D": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"M": [[0.0698, 0.0698],
+		[0.0972, 0.0972],
+		[0.0132, 0.0132],
+		[0.0495, 0.0495],
+		[0.0172, 0.0172]],
+	"MV": [[0.0, 0.0],
+		[0.0, 0.0],
+		[0.0, 0.0],
+		[0.0, 0.0],
+		[0.0, 0.0]]
+}
diff --git a/flu_instances/austin3_input_files_2023_2024/init_vals_Mid.json b/flu_instances/austin3_input_files_2023_2024/init_vals_Mid.json
new file mode 100644
index 0000000..1dd8e06
--- /dev/null
+++ b/flu_instances/austin3_input_files_2023_2024/init_vals_Mid.json
@@ -0,0 +1,62 @@
+{
+	"S": [[17294, 926],
+		[31659, 4152],
+		[153783, 33072],
+		[32596, 16650],
+		[15825, 17757]],
+	"E": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"IP": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"ISR": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"ISH": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"IA": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"HR": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"HD": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"R": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"D": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"M": [[0.0443, 0.0443],
+		[0.0906, 0.0906],
+		[0.0084, 0.0084],
+		[0.0383, 0.0383],
+		[0.0117, 0.0117]],
+	"MV": [[0.0, 0.0],
+		[0.0, 0.0],
+		[0.0, 0.0],
+		[0.0, 0.0],
+		[0.0, 0.0]]
+}
diff --git a/flu_instances/austin3_input_files_2023_2024/init_vals_West.json b/flu_instances/austin3_input_files_2023_2024/init_vals_West.json
new file mode 100644
index 0000000..f2d6ab9
--- /dev/null
+++ b/flu_instances/austin3_input_files_2023_2024/init_vals_West.json
@@ -0,0 +1,62 @@
+{
+	"S": [[22797, 1133],
+		[72773, 8985],
+		[199779, 45679],
+		[58835, 32796],
+		[29044, 37492]],
+	"E": [[0, 0],
+		[0, 0],
+		[5, 0],
+		[0, 0],
+		[0, 0]],
+	"IP": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"ISR": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"ISH": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"IA": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"HR": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"HD": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"R": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"D": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"M": [[0.0339, 0.0339],
+		[0.0273, 0.0273],
+		[0.0118, 0.0118],
+		[0.0158, 0.0158],
+		[0.0084, 0.0084]],
+	"MV": [[0.0, 0.0],
+		[0.0, 0.0],
+		[0.0, 0.0],
+		[0.0, 0.0],
+		[0.0, 0.0]]
+}
diff --git a/flu_instances/austin3_input_files_2023_2024/mixing_params.json b/flu_instances/austin3_input_files_2023_2024/mixing_params.json
new file mode 100644
index 0000000..4c8e870
--- /dev/null
+++ b/flu_instances/austin3_input_files_2023_2024/mixing_params.json
@@ -0,0 +1,7 @@
+{
+	"num_locations":  3,
+    "travel_proportions":
+    [[0.91,0.06,0.03],
+     [0.01,0.96,0.03],
+     [0.01,0.02,0.97]]
+}
diff --git a/flu_instances/austin3_input_files_2023_2024/mobility_modifier.csv b/flu_instances/austin3_input_files_2023_2024/mobility_modifier.csv
new file mode 100644
index 0000000..7957201
--- /dev/null
+++ b/flu_instances/austin3_input_files_2023_2024/mobility_modifier.csv
@@ -0,0 +1,8 @@
+0,day_of_week,mobility_modifier
+1,Monday,"[[0.94],[0.94],[1.05],[1.07],[0.93]]"
+2,Tuesday,"[[0.94],[0.94],[1.05],[1.07],[0.93]]"
+3,Wednesday,"[[0.94],[0.94],[1.05],[1.07],[0.93]]"
+4,Thursday,"[[0.94],[0.94],[1.05],[1.07],[0.93]]"
+5,Friday,"[[0.94],[0.94],[1.05],[1.07],[0.93]]"
+6,Saturday,"[[0.78],[0.78],[1.16],[1.16],[0.79]]"
+7,Sunday,"[[0.61],[0.61],[0.83],[0.89],[0.68]]"
diff --git a/flu_instances/austin3_input_files_2023_2024/numIndiv_austin3.csv b/flu_instances/austin3_input_files_2023_2024/numIndiv_austin3.csv
new file mode 100644
index 0000000..cd6ea39
--- /dev/null
+++ b/flu_instances/austin3_input_files_2023_2024/numIndiv_austin3.csv
@@ -0,0 +1,4 @@
+subpop,0-4,5-17,18-49,50-64,65plus,total
+east,26137,65760,276758,67914,42741,479310
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diff --git a/flu_instances/austin3_input_files_2023_2024/school_work_calendar_austin_East.csv b/flu_instances/austin3_input_files_2023_2024/school_work_calendar_austin_East.csv
new file mode 100644
index 0000000..15c3252
--- /dev/null
+++ b/flu_instances/austin3_input_files_2023_2024/school_work_calendar_austin_East.csv
@@ -0,0 +1,306 @@
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diff --git a/flu_instances/austin3_input_files_2023_2024/school_work_calendar_austin_Mid.csv b/flu_instances/austin3_input_files_2023_2024/school_work_calendar_austin_Mid.csv
new file mode 100644
index 0000000..23773e6
--- /dev/null
+++ b/flu_instances/austin3_input_files_2023_2024/school_work_calendar_austin_Mid.csv
@@ -0,0 +1,306 @@
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diff --git a/flu_instances/austin3_input_files_2023_2024/school_work_calendar_austin_West.csv b/flu_instances/austin3_input_files_2023_2024/school_work_calendar_austin_West.csv
new file mode 100644
index 0000000..9f56b7e
--- /dev/null
+++ b/flu_instances/austin3_input_files_2023_2024/school_work_calendar_austin_West.csv
@@ -0,0 +1,306 @@
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diff --git a/flu_instances/austin3_input_files_2023_2024/simulation_settings.json b/flu_instances/austin3_input_files_2023_2024/simulation_settings.json
new file mode 100644
index 0000000..cf04a72
--- /dev/null
+++ b/flu_instances/austin3_input_files_2023_2024/simulation_settings.json
@@ -0,0 +1,8 @@
+{
+	"timesteps_per_day":7,
+	"transition_type":"binom_deterministic_no_round",
+	"use_deterministic_softplus": false,
+	"start_real_date": "2023-09-15",
+	"save_daily_history": true,
+    "transition_variables_to_save": ["ISH_to_HR", "ISH_to_HD", "S_to_E", "E_to_IP", "R_to_S","IA_to_R", "ISR_to_R","HR_to_R","HD_to_D"]
+}
diff --git a/flu_instances/austin3_input_files_2024_2025/Hosp_Austin3.xlsx b/flu_instances/austin3_input_files_2024_2025/Hosp_Austin3.xlsx
new file mode 100644
index 0000000..ef84728
Binary files /dev/null and b/flu_instances/austin3_input_files_2024_2025/Hosp_Austin3.xlsx differ
diff --git a/flu_instances/austin3_input_files_2024_2025/absolute_humidity_austin.csv b/flu_instances/austin3_input_files_2024_2025/absolute_humidity_austin.csv
new file mode 100644
index 0000000..8223772
--- /dev/null
+++ b/flu_instances/austin3_input_files_2024_2025/absolute_humidity_austin.csv
@@ -0,0 +1,1097 @@
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diff --git a/flu_instances/austin3_input_files_2024_2025/common_subpop_params.json b/flu_instances/austin3_input_files_2024_2025/common_subpop_params.json
new file mode 100644
index 0000000..682a2d9
--- /dev/null
+++ b/flu_instances/austin3_input_files_2024_2025/common_subpop_params.json
@@ -0,0 +1,147 @@
+{
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+	"num_risk_groups":2,
+	"beta_baseline": 0.045,
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+	"inf_induced_saturation": 0.82,
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+	"inf_induced_inf_risk_reduce": 0.80,
+	"inf_induced_hosp_risk_reduce": 0.87,
+	"inf_induced_death_risk_reduce": 0.0,
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+	"vax_induced_death_risk_reduce": 0.0,
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+	"vax_immunity_reset_date_mm_dd": "07_30",
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+}
diff --git a/flu_instances/austin3_input_files_2024_2025/daily_vaccines_East.csv b/flu_instances/austin3_input_files_2024_2025/daily_vaccines_East.csv
new file mode 100644
index 0000000..5c04741
--- /dev/null
+++ b/flu_instances/austin3_input_files_2024_2025/daily_vaccines_East.csv
@@ -0,0 +1,306 @@
+"","date","daily_vaccines"
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+"100","2024-11-07","[[0.004672, 0.004672],[0.003801, 0.003801],[0.002276, 0.002276],[0.003646, 0.003646],[0.004265, 0.004265]]"
+"101","2024-11-08","[[0.004648, 0.004648],[0.003769, 0.003769],[0.002248, 0.002248],[0.003565, 0.003565],[0.004262, 0.004262]]"
+"102","2024-11-09","[[0.004622, 0.004622],[0.003735, 0.003735],[0.002219, 0.002219],[0.003483, 0.003483],[0.004258, 0.004258]]"
+"103","2024-11-10","[[0.004595, 0.004595],[0.0037, 0.0037],[0.00219, 0.00219],[0.0034, 0.0034],[0.004251, 0.004251]]"
+"104","2024-11-11","[[0.004566, 0.004566],[0.003663, 0.003663],[0.002159, 0.002159],[0.003315, 0.003315],[0.004243, 0.004243]]"
+"105","2024-11-12","[[0.004535, 0.004535],[0.003626, 0.003626],[0.002128, 0.002128],[0.00323, 0.00323],[0.004233, 0.004233]]"
+"106","2024-11-13","[[0.004503, 0.004503],[0.003587, 0.003587],[0.002096, 0.002096],[0.003144, 0.003144],[0.004222, 0.004222]]"
+"107","2024-11-14","[[0.00447, 0.00447],[0.003548, 0.003548],[0.002063, 0.002063],[0.003058, 0.003058],[0.004209, 0.004209]]"
+"108","2024-11-15","[[0.004436, 0.004436],[0.003508, 0.003508],[0.002029, 0.002029],[0.002972, 0.002972],[0.004194, 0.004194]]"
+"109","2024-11-16","[[0.0044, 0.0044],[0.003466, 0.003466],[0.001996, 0.001996],[0.002886, 0.002886],[0.004177, 0.004177]]"
+"110","2024-11-17","[[0.004363, 0.004363],[0.003424, 0.003424],[0.001961, 0.001961],[0.0028, 0.0028],[0.004159, 0.004159]]"
+"111","2024-11-18","[[0.004325, 0.004325],[0.003381, 0.003381],[0.001926, 0.001926],[0.002715, 0.002715],[0.00414, 0.00414]]"
+"112","2024-11-19","[[0.004285, 0.004285],[0.003337, 0.003337],[0.001891, 0.001891],[0.00263, 0.00263],[0.004119, 0.004119]]"
+"113","2024-11-20","[[0.004245, 0.004245],[0.003293, 0.003293],[0.001856, 0.001856],[0.002547, 0.002547],[0.004096, 0.004096]]"
+"114","2024-11-21","[[0.004203, 0.004203],[0.003248, 0.003248],[0.00182, 0.00182],[0.002464, 0.002464],[0.004072, 0.004072]]"
+"115","2024-11-22","[[0.004161, 0.004161],[0.003203, 0.003203],[0.001784, 0.001784],[0.002383, 0.002383],[0.004046, 0.004046]]"
+"116","2024-11-23","[[0.004118, 0.004118],[0.003157, 0.003157],[0.001748, 0.001748],[0.002302, 0.002302],[0.00402, 0.00402]]"
+"117","2024-11-24","[[0.004074, 0.004074],[0.003111, 0.003111],[0.001712, 0.001712],[0.002223, 0.002223],[0.003991, 0.003991]]"
+"118","2024-11-25","[[0.004029, 0.004029],[0.003064, 0.003064],[0.001676, 0.001676],[0.002146, 0.002146],[0.003962, 0.003962]]"
+"119","2024-11-26","[[0.003983, 0.003983],[0.003017, 0.003017],[0.00164, 0.00164],[0.00207, 0.00207],[0.003931, 0.003931]]"
+"120","2024-11-27","[[0.003936, 0.003936],[0.002969, 0.002969],[0.001604, 0.001604],[0.001995, 0.001995],[0.003899, 0.003899]]"
+"121","2024-11-28","[[0.003889, 0.003889],[0.002922, 0.002922],[0.001568, 0.001568],[0.001922, 0.001922],[0.003866, 0.003866]]"
+"122","2024-11-29","[[0.003841, 0.003841],[0.002874, 0.002874],[0.001533, 0.001533],[0.001851, 0.001851],[0.003831, 0.003831]]"
+"123","2024-11-30","[[0.003793, 0.003793],[0.002826, 0.002826],[0.001497, 0.001497],[0.001782, 0.001782],[0.003796, 0.003796]]"
+"124","2024-12-01","[[0.003744, 0.003744],[0.002778, 0.002778],[0.001462, 0.001462],[0.001714, 0.001714],[0.00376, 0.00376]]"
+"125","2024-12-02","[[0.003695, 0.003695],[0.002731, 0.002731],[0.001427, 0.001427],[0.001648, 0.001648],[0.003722, 0.003722]]"
+"126","2024-12-03","[[0.003645, 0.003645],[0.002683, 0.002683],[0.001392, 0.001392],[0.001585, 0.001585],[0.003684, 0.003684]]"
+"127","2024-12-04","[[0.003595, 0.003595],[0.002635, 0.002635],[0.001358, 0.001358],[0.001522, 0.001522],[0.003644, 0.003644]]"
+"128","2024-12-05","[[0.003545, 0.003545],[0.002587, 0.002587],[0.001324, 0.001324],[0.001462, 0.001462],[0.003604, 0.003604]]"
+"129","2024-12-06","[[0.003494, 0.003494],[0.002539, 0.002539],[0.001291, 0.001291],[0.001404, 0.001404],[0.003564, 0.003564]]"
+"130","2024-12-07","[[0.003443, 0.003443],[0.002492, 0.002492],[0.001257, 0.001257],[0.001347, 0.001347],[0.003522, 0.003522]]"
+"131","2024-12-08","[[0.003392, 0.003392],[0.002445, 0.002445],[0.001225, 0.001225],[0.001292, 0.001292],[0.00348, 0.00348]]"
+"132","2024-12-09","[[0.003341, 0.003341],[0.002398, 0.002398],[0.001193, 0.001193],[0.001239, 0.001239],[0.003437, 0.003437]]"
+"133","2024-12-10","[[0.00329, 0.00329],[0.002351, 0.002351],[0.001161, 0.001161],[0.001188, 0.001188],[0.003393, 0.003393]]"
+"134","2024-12-11","[[0.003238, 0.003238],[0.002304, 0.002304],[0.00113, 0.00113],[0.001139, 0.001139],[0.003349, 0.003349]]"
+"135","2024-12-12","[[0.003187, 0.003187],[0.002258, 0.002258],[0.001099, 0.001099],[0.001091, 0.001091],[0.003305, 0.003305]]"
+"136","2024-12-13","[[0.003135, 0.003135],[0.002213, 0.002213],[0.001069, 0.001069],[0.001045, 0.001045],[0.00326, 0.00326]]"
+"137","2024-12-14","[[0.003084, 0.003084],[0.002167, 0.002167],[0.001039, 0.001039],[0.001001, 0.001001],[0.003214, 0.003214]]"
+"138","2024-12-15","[[0.003033, 0.003033],[0.002122, 0.002122],[0.00101, 0.00101],[0.000958, 0.000958],[0.003169, 0.003169]]"
+"139","2024-12-16","[[0.002982, 0.002982],[0.002078, 0.002078],[0.000981, 0.000981],[0.000917, 0.000917],[0.003123, 0.003123]]"
+"140","2024-12-17","[[0.002931, 0.002931],[0.002034, 0.002034],[0.000953, 0.000953],[0.000877, 0.000877],[0.003077, 0.003077]]"
+"141","2024-12-18","[[0.00288, 0.00288],[0.00199, 0.00199],[0.000926, 0.000926],[0.000839, 0.000839],[0.00303, 0.00303]]"
+"142","2024-12-19","[[0.00283, 0.00283],[0.001947, 0.001947],[0.000899, 0.000899],[0.000802, 0.000802],[0.002984, 0.002984]]"
+"143","2024-12-20","[[0.00278, 0.00278],[0.001905, 0.001905],[0.000873, 0.000873],[0.000767, 0.000767],[0.002937, 0.002937]]"
+"144","2024-12-21","[[0.00273, 0.00273],[0.001863, 0.001863],[0.000847, 0.000847],[0.000733, 0.000733],[0.00289, 0.00289]]"
+"145","2024-12-22","[[0.00268, 0.00268],[0.001822, 0.001822],[0.000822, 0.000822],[0.000701, 0.000701],[0.002843, 0.002843]]"
+"146","2024-12-23","[[0.002631, 0.002631],[0.001781, 0.001781],[0.000797, 0.000797],[0.00067, 0.00067],[0.002796, 0.002796]]"
+"147","2024-12-24","[[0.002582, 0.002582],[0.00174, 0.00174],[0.000773, 0.000773],[0.00064, 0.00064],[0.00275, 0.00275]]"
+"148","2024-12-25","[[0.002534, 0.002534],[0.001701, 0.001701],[0.00075, 0.00075],[0.000611, 0.000611],[0.002703, 0.002703]]"
+"149","2024-12-26","[[0.002486, 0.002486],[0.001662, 0.001662],[0.000727, 0.000727],[0.000584, 0.000584],[0.002656, 0.002656]]"
+"150","2024-12-27","[[0.002438, 0.002438],[0.001623, 0.001623],[0.000705, 0.000705],[0.000558, 0.000558],[0.00261, 0.00261]]"
+"151","2024-12-28","[[0.002391, 0.002391],[0.001585, 0.001585],[0.000683, 0.000683],[0.000532, 0.000532],[0.002564, 0.002564]]"
+"152","2024-12-29","[[0.002344, 0.002344],[0.001548, 0.001548],[0.000662, 0.000662],[0.000508, 0.000508],[0.002518, 0.002518]]"
+"153","2024-12-30","[[0.002298, 0.002298],[0.001511, 0.001511],[0.000641, 0.000641],[0.000485, 0.000485],[0.002472, 0.002472]]"
+"154","2024-12-31","[[0.002253, 0.002253],[0.001475, 0.001475],[0.000621, 0.000621],[0.000463, 0.000463],[0.002426, 0.002426]]"
+"155","2025-01-01","[[0.002207, 0.002207],[0.00144, 0.00144],[0.000601, 0.000601],[0.000442, 0.000442],[0.002381, 0.002381]]"
+"156","2025-01-02","[[0.002163, 0.002163],[0.001405, 0.001405],[0.000582, 0.000582],[0.000422, 0.000422],[0.002336, 0.002336]]"
+"157","2025-01-03","[[0.002119, 0.002119],[0.001371, 0.001371],[0.000564, 0.000564],[0.000402, 0.000402],[0.002291, 0.002291]]"
+"158","2025-01-04","[[0.002075, 0.002075],[0.001337, 0.001337],[0.000546, 0.000546],[0.000384, 0.000384],[0.002247, 0.002247]]"
+"159","2025-01-05","[[0.002032, 0.002032],[0.001304, 0.001304],[0.000528, 0.000528],[0.000366, 0.000366],[0.002203, 0.002203]]"
+"160","2025-01-06","[[0.00199, 0.00199],[0.001272, 0.001272],[0.000511, 0.000511],[0.000349, 0.000349],[0.00216, 0.00216]]"
+"161","2025-01-07","[[0.001948, 0.001948],[0.00124, 0.00124],[0.000494, 0.000494],[0.000333, 0.000333],[0.002117, 0.002117]]"
+"162","2025-01-08","[[0.001906, 0.001906],[0.001209, 0.001209],[0.000478, 0.000478],[0.000318, 0.000318],[0.002074, 0.002074]]"
+"163","2025-01-09","[[0.001866, 0.001866],[0.001179, 0.001179],[0.000463, 0.000463],[0.000303, 0.000303],[0.002032, 0.002032]]"
+"164","2025-01-10","[[0.001826, 0.001826],[0.001149, 0.001149],[0.000448, 0.000448],[0.000289, 0.000289],[0.00199, 0.00199]]"
+"165","2025-01-11","[[0.001786, 0.001786],[0.00112, 0.00112],[0.000433, 0.000433],[0.000275, 0.000275],[0.001949, 0.001949]]"
+"166","2025-01-12","[[0.001747, 0.001747],[0.001091, 0.001091],[0.000419, 0.000419],[0.000262, 0.000262],[0.001908, 0.001908]]"
+"167","2025-01-13","[[0.001709, 0.001709],[0.001063, 0.001063],[0.000405, 0.000405],[0.00025, 0.00025],[0.001868, 0.001868]]"
+"168","2025-01-14","[[0.001672, 0.001672],[0.001036, 0.001036],[0.000391, 0.000391],[0.000238, 0.000238],[0.001828, 0.001828]]"
+"169","2025-01-15","[[0.001635, 0.001635],[0.001009, 0.001009],[0.000378, 0.000378],[0.000227, 0.000227],[0.001789, 0.001789]]"
+"170","2025-01-16","[[0.001598, 0.001598],[0.000983, 0.000983],[0.000366, 0.000366],[0.000217, 0.000217],[0.001751, 0.001751]]"
+"171","2025-01-17","[[0.001562, 0.001562],[0.000957, 0.000957],[0.000353, 0.000353],[0.000206, 0.000206],[0.001713, 0.001713]]"
+"172","2025-01-18","[[0.001527, 0.001527],[0.000932, 0.000932],[0.000341, 0.000341],[0.000197, 0.000197],[0.001675, 0.001675]]"
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+"174","2025-01-20","[[0.001459, 0.001459],[0.000884, 0.000884],[0.000319, 0.000319],[0.000179, 0.000179],[0.001602, 0.001602]]"
+"175","2025-01-21","[[0.001425, 0.001425],[0.00086, 0.00086],[0.000308, 0.000308],[0.00017, 0.00017],[0.001566, 0.001566]]"
+"176","2025-01-22","[[0.001393, 0.001393],[0.000837, 0.000837],[0.000298, 0.000298],[0.000162, 0.000162],[0.001531, 0.001531]]"
+"177","2025-01-23","[[0.00136, 0.00136],[0.000815, 0.000815],[0.000287, 0.000287],[0.000154, 0.000154],[0.001496, 0.001496]]"
+"178","2025-01-24","[[0.001329, 0.001329],[0.000793, 0.000793],[0.000278, 0.000278],[0.000147, 0.000147],[0.001462, 0.001462]]"
+"179","2025-01-25","[[0.001298, 0.001298],[0.000772, 0.000772],[0.000268, 0.000268],[0.00014, 0.00014],[0.001429, 0.001429]]"
+"180","2025-01-26","[[0.001268, 0.001268],[0.000751, 0.000751],[0.000259, 0.000259],[0.000134, 0.000134],[0.001396, 0.001396]]"
+"181","2025-01-27","[[0.001238, 0.001238],[0.000731, 0.000731],[0.00025, 0.00025],[0.000127, 0.000127],[0.001363, 0.001363]]"
+"182","2025-01-28","[[0.001209, 0.001209],[0.000711, 0.000711],[0.000242, 0.000242],[0.000121, 0.000121],[0.001332, 0.001332]]"
+"183","2025-01-29","[[0.00118, 0.00118],[0.000692, 0.000692],[0.000233, 0.000233],[0.000115, 0.000115],[0.0013, 0.0013]]"
+"184","2025-01-30","[[0.001152, 0.001152],[0.000673, 0.000673],[0.000225, 0.000225],[0.00011, 0.00011],[0.00127, 0.00127]]"
+"185","2025-01-31","[[0.001125, 0.001125],[0.000655, 0.000655],[0.000217, 0.000217],[0.000105, 0.000105],[0.00124, 0.00124]]"
+"186","2025-02-01","[[0.001098, 0.001098],[0.000637, 0.000637],[0.00021, 0.00021],[0.0001, 0.0001],[0.00121, 0.00121]]"
+"187","2025-02-02","[[0.001071, 0.001071],[0.000619, 0.000619],[0.000203, 0.000203],[0.000095, 0.000095],[0.001181, 0.001181]]"
+"188","2025-02-03","[[0.001045, 0.001045],[0.000602, 0.000602],[0.000196, 0.000196],[0.00009, 0.00009],[0.001153, 0.001153]]"
+"189","2025-02-04","[[0.00102, 0.00102],[0.000585, 0.000585],[0.000189, 0.000189],[0.000086, 0.000086],[0.001125, 0.001125]]"
+"190","2025-02-05","[[0.000995, 0.000995],[0.000569, 0.000569],[0.000182, 0.000182],[0.000082, 0.000082],[0.001098, 0.001098]]"
+"191","2025-02-06","[[0.000971, 0.000971],[0.000554, 0.000554],[0.000176, 0.000176],[0.000078, 0.000078],[0.001071, 0.001071]]"
+"192","2025-02-07","[[0.000947, 0.000947],[0.000538, 0.000538],[0.00017, 0.00017],[0.000074, 0.000074],[0.001045, 0.001045]]"
+"193","2025-02-08","[[0.000924, 0.000924],[0.000523, 0.000523],[0.000164, 0.000164],[0.000071, 0.000071],[0.001019, 0.001019]]"
+"194","2025-02-09","[[0.000902, 0.000902],[0.000509, 0.000509],[0.000158, 0.000158],[0.000067, 0.000067],[0.000994, 0.000994]]"
+"195","2025-02-10","[[0.000879, 0.000879],[0.000494, 0.000494],[0.000153, 0.000153],[0.000064, 0.000064],[0.00097, 0.00097]]"
+"196","2025-02-11","[[0.000858, 0.000858],[0.000481, 0.000481],[0.000147, 0.000147],[0.000061, 0.000061],[0.000946, 0.000946]]"
+"197","2025-02-12","[[0.000836, 0.000836],[0.000467, 0.000467],[0.000142, 0.000142],[0.000058, 0.000058],[0.000922, 0.000922]]"
+"198","2025-02-13","[[0.000816, 0.000816],[0.000454, 0.000454],[0.000137, 0.000137],[0.000055, 0.000055],[0.000899, 0.000899]]"
+"199","2025-02-14","[[0.000795, 0.000795],[0.000441, 0.000441],[0.000132, 0.000132],[0.000053, 0.000053],[0.000877, 0.000877]]"
+"200","2025-02-15","[[0.000775, 0.000775],[0.000429, 0.000429],[0.000128, 0.000128],[0.00005, 0.00005],[0.000855, 0.000855]]"
+"201","2025-02-16","[[0.000756, 0.000756],[0.000417, 0.000417],[0.000123, 0.000123],[0.000048, 0.000048],[0.000833, 0.000833]]"
+"202","2025-02-17","[[0.000737, 0.000737],[0.000405, 0.000405],[0.000119, 0.000119],[0.000046, 0.000046],[0.000812, 0.000812]]"
+"203","2025-02-18","[[0.000719, 0.000719],[0.000393, 0.000393],[0.000115, 0.000115],[0.000043, 0.000043],[0.000791, 0.000791]]"
+"204","2025-02-19","[[0.000701, 0.000701],[0.000382, 0.000382],[0.000111, 0.000111],[0.000041, 0.000041],[0.000771, 0.000771]]"
+"205","2025-02-20","[[0.000683, 0.000683],[0.000371, 0.000371],[0.000107, 0.000107],[0.000039, 0.000039],[0.000752, 0.000752]]"
+"206","2025-02-21","[[0.000666, 0.000666],[0.000361, 0.000361],[0.000103, 0.000103],[0.000037, 0.000037],[0.000732, 0.000732]]"
+"207","2025-02-22","[[0.000649, 0.000649],[0.00035, 0.00035],[0.000099, 0.000099],[0.000036, 0.000036],[0.000714, 0.000714]]"
+"208","2025-02-23","[[0.000632, 0.000632],[0.00034, 0.00034],[0.000096, 0.000096],[0.000034, 0.000034],[0.000695, 0.000695]]"
+"209","2025-02-24","[[0.000616, 0.000616],[0.000331, 0.000331],[0.000092, 0.000092],[0.000032, 0.000032],[0.000677, 0.000677]]"
+"210","2025-02-25","[[0.0006, 0.0006],[0.000321, 0.000321],[0.000089, 0.000089],[0.000031, 0.000031],[0.00066, 0.00066]]"
+"211","2025-02-26","[[0.000585, 0.000585],[0.000312, 0.000312],[0.000086, 0.000086],[0.000029, 0.000029],[0.000643, 0.000643]]"
+"212","2025-02-27","[[0.00057, 0.00057],[0.000303, 0.000303],[0.000083, 0.000083],[0.000028, 0.000028],[0.000626, 0.000626]]"
+"213","2025-02-28","[[0.000556, 0.000556],[0.000294, 0.000294],[0.00008, 0.00008],[0.000027, 0.000027],[0.00061, 0.00061]]"
+"214","2025-03-01","[[0.000541, 0.000541],[0.000286, 0.000286],[0.000077, 0.000077],[0.000025, 0.000025],[0.000594, 0.000594]]"
+"215","2025-03-02","[[0.000527, 0.000527],[0.000278, 0.000278],[0.000074, 0.000074],[0.000024, 0.000024],[0.000578, 0.000578]]"
+"216","2025-03-03","[[0.000514, 0.000514],[0.00027, 0.00027],[0.000072, 0.000072],[0.000023, 0.000023],[0.000563, 0.000563]]"
+"217","2025-03-04","[[0.000501, 0.000501],[0.000262, 0.000262],[0.000069, 0.000069],[0.000022, 0.000022],[0.000548, 0.000548]]"
+"218","2025-03-05","[[0.000488, 0.000488],[0.000254, 0.000254],[0.000067, 0.000067],[0.000021, 0.000021],[0.000534, 0.000534]]"
+"219","2025-03-06","[[0.000475, 0.000475],[0.000247, 0.000247],[0.000064, 0.000064],[0.00002, 0.00002],[0.00052, 0.00052]]"
+"220","2025-03-07","[[0.000463, 0.000463],[0.00024, 0.00024],[0.000062, 0.000062],[0.000019, 0.000019],[0.000506, 0.000506]]"
+"221","2025-03-08","[[0.000451, 0.000451],[0.000233, 0.000233],[0.00006, 0.00006],[0.000018, 0.000018],[0.000493, 0.000493]]"
+"222","2025-03-09","[[0.000439, 0.000439],[0.000226, 0.000226],[0.000058, 0.000058],[0.000017, 0.000017],[0.00048, 0.00048]]"
+"223","2025-03-10","[[0.000428, 0.000428],[0.00022, 0.00022],[0.000056, 0.000056],[0.000016, 0.000016],[0.000467, 0.000467]]"
+"224","2025-03-11","[[0.000416, 0.000416],[0.000213, 0.000213],[0.000054, 0.000054],[0.000015, 0.000015],[0.000455, 0.000455]]"
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+"277","2025-05-03","[[0.0001, 0.0001],[0.000044, 0.000044],[0.000008, 0.000008],[0.000001, 0.000001],[0.000105, 0.000105]]"
+"278","2025-05-04","[[0.000097, 0.000097],[0.000043, 0.000043],[0.000007, 0.000007],[0.000001, 0.000001],[0.000102, 0.000102]]"
+"279","2025-05-05","[[0.000094, 0.000094],[0.000041, 0.000041],[0.000007, 0.000007],[0.000001, 0.000001],[0.000099, 0.000099]]"
+"280","2025-05-06","[[0.000092, 0.000092],[0.00004, 0.00004],[0.000007, 0.000007],[0.000001, 0.000001],[0.000096, 0.000096]]"
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+"282","2025-05-08","[[0.000087, 0.000087],[0.000038, 0.000038],[0.000006, 0.000006],[0.000001, 0.000001],[0.000091, 0.000091]]"
+"283","2025-05-09","[[0.000085, 0.000085],[0.000037, 0.000037],[0.000006, 0.000006],[0.000001, 0.000001],[0.000088, 0.000088]]"
+"284","2025-05-10","[[0.000082, 0.000082],[0.000036, 0.000036],[0.000006, 0.000006],[0.000001, 0.000001],[0.000086, 0.000086]]"
+"285","2025-05-11","[[0.00008, 0.00008],[0.000034, 0.000034],[0.000006, 0.000006],[0.000001, 0.000001],[0.000084, 0.000084]]"
+"286","2025-05-12","[[0.000078, 0.000078],[0.000033, 0.000033],[0.000006, 0.000006],[0.000001, 0.000001],[0.000081, 0.000081]]"
+"287","2025-05-13","[[0.000076, 0.000076],[0.000032, 0.000032],[0.000005, 0.000005],[0.000001, 0.000001],[0.000079, 0.000079]]"
+"288","2025-05-14","[[0.000074, 0.000074],[0.000032, 0.000032],[0.000005, 0.000005],[0.000001, 0.000001],[0.000077, 0.000077]]"
+"289","2025-05-15","[[0.000072, 0.000072],[0.000031, 0.000031],[0.000005, 0.000005],[0.000001, 0.000001],[0.000075, 0.000075]]"
+"290","2025-05-16","[[0.00007, 0.00007],[0.00003, 0.00003],[0.000005, 0.000005],[0.000001, 0.000001],[0.000073, 0.000073]]"
+"291","2025-05-17","[[0.000068, 0.000068],[0.000029, 0.000029],[0.000005, 0.000005],[0.000001, 0.000001],[0.000071, 0.000071]]"
+"292","2025-05-18","[[0.000066, 0.000066],[0.000028, 0.000028],[0.000004, 0.000004],[0.000001, 0.000001],[0.000069, 0.000069]]"
+"293","2025-05-19","[[0.000064, 0.000064],[0.000027, 0.000027],[0.000004, 0.000004],[0.000001, 0.000001],[0.000067, 0.000067]]"
+"294","2025-05-20","[[0.000063, 0.000063],[0.000026, 0.000026],[0.000004, 0.000004],[0, 0],[0.000065, 0.000065]]"
+"295","2025-05-21","[[0.000061, 0.000061],[0.000026, 0.000026],[0.000004, 0.000004],[0, 0],[0.000063, 0.000063]]"
+"296","2025-05-22","[[0.000059, 0.000059],[0.000025, 0.000025],[0.000004, 0.000004],[0, 0],[0.000061, 0.000061]]"
+"297","2025-05-23","[[0.000058, 0.000058],[0.000024, 0.000024],[0.000004, 0.000004],[0, 0],[0.00006, 0.00006]]"
+"298","2025-05-24","[[0.000056, 0.000056],[0.000023, 0.000023],[0.000004, 0.000004],[0, 0],[0.000058, 0.000058]]"
+"299","2025-05-25","[[0.000055, 0.000055],[0.000023, 0.000023],[0.000003, 0.000003],[0, 0],[0.000056, 0.000056]]"
+"300","2025-05-26","[[0.000053, 0.000053],[0.000022, 0.000022],[0.000003, 0.000003],[0, 0],[0.000055, 0.000055]]"
+"301","2025-05-27","[[0.000052, 0.000052],[0.000021, 0.000021],[0.000003, 0.000003],[0, 0],[0.000053, 0.000053]]"
+"302","2025-05-28","[[0.00005, 0.00005],[0.000021, 0.000021],[0.000003, 0.000003],[0, 0],[0.000052, 0.000052]]"
+"303","2025-05-29","[[0.000049, 0.000049],[0.00002, 0.00002],[0.000003, 0.000003],[0, 0],[0.00005, 0.00005]]"
+"304","2025-05-30","[[0.000048, 0.000048],[0.000019, 0.000019],[0.000003, 0.000003],[0, 0],[0.000049, 0.000049]]"
+"305","2025-05-31","[[0.000046, 0.000046],[0.000019, 0.000019],[0.000003, 0.000003],[0, 0],[0.000047, 0.000047]]"
diff --git a/flu_instances/austin3_input_files_2024_2025/daily_vaccines_Mid.csv b/flu_instances/austin3_input_files_2024_2025/daily_vaccines_Mid.csv
new file mode 100644
index 0000000..2b0249f
--- /dev/null
+++ b/flu_instances/austin3_input_files_2024_2025/daily_vaccines_Mid.csv
@@ -0,0 +1,306 @@
+"","date","daily_vaccines"
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+"2","2024-08-01","[[0.001772, 0.001772],[0.00144, 0.00144],[0.000561, 0.000561],[0.000412, 0.000412],[0.001089, 0.001089]]"
+"3","2024-08-02","[[0.001812, 0.001812],[0.001477, 0.001477],[0.00058, 0.00058],[0.000431, 0.000431],[0.001117, 0.001117]]"
+"4","2024-08-03","[[0.001853, 0.001853],[0.001514, 0.001514],[0.000599, 0.000599],[0.000452, 0.000452],[0.001145, 0.001145]]"
+"5","2024-08-04","[[0.001895, 0.001895],[0.001552, 0.001552],[0.000619, 0.000619],[0.000474, 0.000474],[0.001174, 0.001174]]"
+"6","2024-08-05","[[0.001938, 0.001938],[0.001591, 0.001591],[0.000639, 0.000639],[0.000497, 0.000497],[0.001203, 0.001203]]"
+"7","2024-08-06","[[0.001982, 0.001982],[0.001631, 0.001631],[0.00066, 0.00066],[0.000521, 0.000521],[0.001233, 0.001233]]"
+"8","2024-08-07","[[0.002026, 0.002026],[0.001671, 0.001671],[0.000682, 0.000682],[0.000546, 0.000546],[0.001264, 0.001264]]"
+"9","2024-08-08","[[0.002071, 0.002071],[0.001712, 0.001712],[0.000704, 0.000704],[0.000572, 0.000572],[0.001295, 0.001295]]"
+"10","2024-08-09","[[0.002116, 0.002116],[0.001753, 0.001753],[0.000727, 0.000727],[0.000599, 0.000599],[0.001327, 0.001327]]"
+"11","2024-08-10","[[0.002162, 0.002162],[0.001796, 0.001796],[0.000751, 0.000751],[0.000627, 0.000627],[0.00136, 0.00136]]"
+"12","2024-08-11","[[0.002209, 0.002209],[0.001839, 0.001839],[0.000775, 0.000775],[0.000657, 0.000657],[0.001393, 0.001393]]"
+"13","2024-08-12","[[0.002257, 0.002257],[0.001882, 0.001882],[0.000799, 0.000799],[0.000688, 0.000688],[0.001427, 0.001427]]"
+"14","2024-08-13","[[0.002305, 0.002305],[0.001927, 0.001927],[0.000825, 0.000825],[0.00072, 0.00072],[0.001461, 0.001461]]"
+"15","2024-08-14","[[0.002354, 0.002354],[0.001972, 0.001972],[0.000851, 0.000851],[0.000753, 0.000753],[0.001497, 0.001497]]"
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+"30","2024-08-29","[[0.003155, 0.003155],[0.002718, 0.002718],[0.001318, 0.001318],[0.001455, 0.001455],[0.002102, 0.002102]]"
+"31","2024-08-30","[[0.003212, 0.003212],[0.002772, 0.002772],[0.001354, 0.001354],[0.001517, 0.001517],[0.002148, 0.002148]]"
+"32","2024-08-31","[[0.003269, 0.003269],[0.002826, 0.002826],[0.001391, 0.001391],[0.001581, 0.001581],[0.002194, 0.002194]]"
+"33","2024-09-01","[[0.003327, 0.003327],[0.00288, 0.00288],[0.001428, 0.001428],[0.001647, 0.001647],[0.00224, 0.00224]]"
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+"35","2024-09-03","[[0.003443, 0.003443],[0.002988, 0.002988],[0.001504, 0.001504],[0.001785, 0.001785],[0.002335, 0.002335]]"
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+"40","2024-09-08","[[0.003735, 0.003735],[0.003261, 0.003261],[0.0017, 0.0017],[0.002167, 0.002167],[0.002581, 0.002581]]"
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+"43","2024-09-11","[[0.00391, 0.00391],[0.003424, 0.003424],[0.001822, 0.001822],[0.00242, 0.00242],[0.002734, 0.002734]]"
+"44","2024-09-12","[[0.003968, 0.003968],[0.003477, 0.003477],[0.001863, 0.001863],[0.002508, 0.002508],[0.002786, 0.002786]]"
+"45","2024-09-13","[[0.004026, 0.004026],[0.003531, 0.003531],[0.001904, 0.001904],[0.002597, 0.002597],[0.002838, 0.002838]]"
+"46","2024-09-14","[[0.004083, 0.004083],[0.003583, 0.003583],[0.001945, 0.001945],[0.002688, 0.002688],[0.00289, 0.00289]]"
+"47","2024-09-15","[[0.00414, 0.00414],[0.003636, 0.003636],[0.001986, 0.001986],[0.002781, 0.002781],[0.002943, 0.002943]]"
+"48","2024-09-16","[[0.004197, 0.004197],[0.003688, 0.003688],[0.002027, 0.002027],[0.002875, 0.002875],[0.002996, 0.002996]]"
+"49","2024-09-17","[[0.004253, 0.004253],[0.003739, 0.003739],[0.002068, 0.002068],[0.00297, 0.00297],[0.003049, 0.003049]]"
+"50","2024-09-18","[[0.004309, 0.004309],[0.00379, 0.00379],[0.002109, 0.002109],[0.003066, 0.003066],[0.003102, 0.003102]]"
+"51","2024-09-19","[[0.004364, 0.004364],[0.00384, 0.00384],[0.002149, 0.002149],[0.003163, 0.003163],[0.003155, 0.003155]]"
+"52","2024-09-20","[[0.004419, 0.004419],[0.003889, 0.003889],[0.002189, 0.002189],[0.00326, 0.00326],[0.003208, 0.003208]]"
+"53","2024-09-21","[[0.004473, 0.004473],[0.003937, 0.003937],[0.002229, 0.002229],[0.003358, 0.003358],[0.003262, 0.003262]]"
+"54","2024-09-22","[[0.004526, 0.004526],[0.003984, 0.003984],[0.002268, 0.002268],[0.003456, 0.003456],[0.003315, 0.003315]]"
+"55","2024-09-23","[[0.004578, 0.004578],[0.00403, 0.00403],[0.002307, 0.002307],[0.003554, 0.003554],[0.003368, 0.003368]]"
+"56","2024-09-24","[[0.004629, 0.004629],[0.004076, 0.004076],[0.002345, 0.002345],[0.003652, 0.003652],[0.003421, 0.003421]]"
+"57","2024-09-25","[[0.00468, 0.00468],[0.00412, 0.00412],[0.002382, 0.002382],[0.003749, 0.003749],[0.003474, 0.003474]]"
+"58","2024-09-26","[[0.004729, 0.004729],[0.004163, 0.004163],[0.002419, 0.002419],[0.003846, 0.003846],[0.003527, 0.003527]]"
+"59","2024-09-27","[[0.004778, 0.004778],[0.004204, 0.004204],[0.002455, 0.002455],[0.003941, 0.003941],[0.00358, 0.00358]]"
+"60","2024-09-28","[[0.004825, 0.004825],[0.004244, 0.004244],[0.00249, 0.00249],[0.004035, 0.004035],[0.003632, 0.003632]]"
+"61","2024-09-29","[[0.004872, 0.004872],[0.004283, 0.004283],[0.002524, 0.002524],[0.004128, 0.004128],[0.003684, 0.003684]]"
+"62","2024-09-30","[[0.004917, 0.004917],[0.004321, 0.004321],[0.002557, 0.002557],[0.004218, 0.004218],[0.003735, 0.003735]]"
+"63","2024-10-01","[[0.00496, 0.00496],[0.004357, 0.004357],[0.002589, 0.002589],[0.004306, 0.004306],[0.003786, 0.003786]]"
+"64","2024-10-02","[[0.005003, 0.005003],[0.004391, 0.004391],[0.002619, 0.002619],[0.004392, 0.004392],[0.003836, 0.003836]]"
+"65","2024-10-03","[[0.005044, 0.005044],[0.004424, 0.004424],[0.002649, 0.002649],[0.004474, 0.004474],[0.003886, 0.003886]]"
+"66","2024-10-04","[[0.005083, 0.005083],[0.004455, 0.004455],[0.002677, 0.002677],[0.004554, 0.004554],[0.003936, 0.003936]]"
+"67","2024-10-05","[[0.005122, 0.005122],[0.004485, 0.004485],[0.002704, 0.002704],[0.004629, 0.004629],[0.003984, 0.003984]]"
+"68","2024-10-06","[[0.005158, 0.005158],[0.004512, 0.004512],[0.002729, 0.002729],[0.004701, 0.004701],[0.004032, 0.004032]]"
+"69","2024-10-07","[[0.005193, 0.005193],[0.004538, 0.004538],[0.002753, 0.002753],[0.004769, 0.004769],[0.004079, 0.004079]]"
+"70","2024-10-08","[[0.005226, 0.005226],[0.004562, 0.004562],[0.002775, 0.002775],[0.004833, 0.004833],[0.004125, 0.004125]]"
+"71","2024-10-09","[[0.005258, 0.005258],[0.004584, 0.004584],[0.002795, 0.002795],[0.004891, 0.004891],[0.00417, 0.00417]]"
+"72","2024-10-10","[[0.005288, 0.005288],[0.004604, 0.004604],[0.002814, 0.002814],[0.004945, 0.004945],[0.004215, 0.004215]]"
+"73","2024-10-11","[[0.005316, 0.005316],[0.004622, 0.004622],[0.002831, 0.002831],[0.004993, 0.004993],[0.004258, 0.004258]]"
+"74","2024-10-12","[[0.005342, 0.005342],[0.004638, 0.004638],[0.002847, 0.002847],[0.005036, 0.005036],[0.0043, 0.0043]]"
+"75","2024-10-13","[[0.005367, 0.005367],[0.004652, 0.004652],[0.00286, 0.00286],[0.005074, 0.005074],[0.004341, 0.004341]]"
+"76","2024-10-14","[[0.005389, 0.005389],[0.004664, 0.004664],[0.002872, 0.002872],[0.005105, 0.005105],[0.004381, 0.004381]]"
+"77","2024-10-15","[[0.00541, 0.00541],[0.004674, 0.004674],[0.002882, 0.002882],[0.005131, 0.005131],[0.004419, 0.004419]]"
+"78","2024-10-16","[[0.005429, 0.005429],[0.004681, 0.004681],[0.002889, 0.002889],[0.005151, 0.005151],[0.004457, 0.004457]]"
+"79","2024-10-17","[[0.005445, 0.005445],[0.004687, 0.004687],[0.002895, 0.002895],[0.005164, 0.005164],[0.004493, 0.004493]]"
+"80","2024-10-18","[[0.00546, 0.00546],[0.004691, 0.004691],[0.002899, 0.002899],[0.005171, 0.005171],[0.004527, 0.004527]]"
+"81","2024-10-19","[[0.005473, 0.005473],[0.004692, 0.004692],[0.002902, 0.002902],[0.005172, 0.005172],[0.00456, 0.00456]]"
+"82","2024-10-20","[[0.005483, 0.005483],[0.004691, 0.004691],[0.002902, 0.002902],[0.005166, 0.005166],[0.004592, 0.004592]]"
+"83","2024-10-21","[[0.005492, 0.005492],[0.004688, 0.004688],[0.0029, 0.0029],[0.005155, 0.005155],[0.004621, 0.004621]]"
+"84","2024-10-22","[[0.005498, 0.005498],[0.004683, 0.004683],[0.002896, 0.002896],[0.005137, 0.005137],[0.00465, 0.00465]]"
+"85","2024-10-23","[[0.005503, 0.005503],[0.004676, 0.004676],[0.00289, 0.00289],[0.005113, 0.005113],[0.004676, 0.004676]]"
+"86","2024-10-24","[[0.005505, 0.005505],[0.004666, 0.004666],[0.002883, 0.002883],[0.005083, 0.005083],[0.004701, 0.004701]]"
+"87","2024-10-25","[[0.005505, 0.005505],[0.004655, 0.004655],[0.002873, 0.002873],[0.005047, 0.005047],[0.004725, 0.004725]]"
+"88","2024-10-26","[[0.005503, 0.005503],[0.004641, 0.004641],[0.002862, 0.002862],[0.005006, 0.005006],[0.004746, 0.004746]]"
+"89","2024-10-27","[[0.005499, 0.005499],[0.004626, 0.004626],[0.002848, 0.002848],[0.004959, 0.004959],[0.004766, 0.004766]]"
+"90","2024-10-28","[[0.005493, 0.005493],[0.004608, 0.004608],[0.002833, 0.002833],[0.004906, 0.004906],[0.004784, 0.004784]]"
+"91","2024-10-29","[[0.005485, 0.005485],[0.004589, 0.004589],[0.002816, 0.002816],[0.004849, 0.004849],[0.0048, 0.0048]]"
+"92","2024-10-30","[[0.005475, 0.005475],[0.004567, 0.004567],[0.002798, 0.002798],[0.004787, 0.004787],[0.004814, 0.004814]]"
+"93","2024-10-31","[[0.005463, 0.005463],[0.004544, 0.004544],[0.002777, 0.002777],[0.00472, 0.00472],[0.004826, 0.004826]]"
+"94","2024-11-01","[[0.005448, 0.005448],[0.004518, 0.004518],[0.002755, 0.002755],[0.004649, 0.004649],[0.004837, 0.004837]]"
+"95","2024-11-02","[[0.005432, 0.005432],[0.004491, 0.004491],[0.002732, 0.002732],[0.004575, 0.004575],[0.004845, 0.004845]]"
+"96","2024-11-03","[[0.005414, 0.005414],[0.004462, 0.004462],[0.002707, 0.002707],[0.004496, 0.004496],[0.004852, 0.004852]]"
+"97","2024-11-04","[[0.005394, 0.005394],[0.004431, 0.004431],[0.00268, 0.00268],[0.004414, 0.004414],[0.004856, 0.004856]]"
+"98","2024-11-05","[[0.005371, 0.005371],[0.004399, 0.004399],[0.002652, 0.002652],[0.00433, 0.00433],[0.004859, 0.004859]]"
+"99","2024-11-06","[[0.005347, 0.005347],[0.004365, 0.004365],[0.002623, 0.002623],[0.004242, 0.004242],[0.004859, 0.004859]]"
+"100","2024-11-07","[[0.005321, 0.005321],[0.004329, 0.004329],[0.002592, 0.002592],[0.004152, 0.004152],[0.004858, 0.004858]]"
+"101","2024-11-08","[[0.005294, 0.005294],[0.004292, 0.004292],[0.002561, 0.002561],[0.004061, 0.004061],[0.004854, 0.004854]]"
+"102","2024-11-09","[[0.005264, 0.005264],[0.004253, 0.004253],[0.002528, 0.002528],[0.003967, 0.003967],[0.004849, 0.004849]]"
+"103","2024-11-10","[[0.005233, 0.005233],[0.004213, 0.004213],[0.002494, 0.002494],[0.003872, 0.003872],[0.004842, 0.004842]]"
+"104","2024-11-11","[[0.0052, 0.0052],[0.004172, 0.004172],[0.002459, 0.002459],[0.003776, 0.003776],[0.004832, 0.004832]]"
+"105","2024-11-12","[[0.005165, 0.005165],[0.004129, 0.004129],[0.002423, 0.002423],[0.003679, 0.003679],[0.004821, 0.004821]]"
+"106","2024-11-13","[[0.005129, 0.005129],[0.004086, 0.004086],[0.002387, 0.002387],[0.003581, 0.003581],[0.004808, 0.004808]]"
+"107","2024-11-14","[[0.005091, 0.005091],[0.004041, 0.004041],[0.002349, 0.002349],[0.003483, 0.003483],[0.004793, 0.004793]]"
+"108","2024-11-15","[[0.005052, 0.005052],[0.003995, 0.003995],[0.002311, 0.002311],[0.003385, 0.003385],[0.004776, 0.004776]]"
+"109","2024-11-16","[[0.005011, 0.005011],[0.003948, 0.003948],[0.002273, 0.002273],[0.003287, 0.003287],[0.004758, 0.004758]]"
+"110","2024-11-17","[[0.004969, 0.004969],[0.0039, 0.0039],[0.002234, 0.002234],[0.003189, 0.003189],[0.004737, 0.004737]]"
+"111","2024-11-18","[[0.004925, 0.004925],[0.003851, 0.003851],[0.002194, 0.002194],[0.003092, 0.003092],[0.004715, 0.004715]]"
+"112","2024-11-19","[[0.00488, 0.00488],[0.003801, 0.003801],[0.002154, 0.002154],[0.002996, 0.002996],[0.004691, 0.004691]]"
+"113","2024-11-20","[[0.004834, 0.004834],[0.003751, 0.003751],[0.002113, 0.002113],[0.002901, 0.002901],[0.004665, 0.004665]]"
+"114","2024-11-21","[[0.004787, 0.004787],[0.003699, 0.003699],[0.002073, 0.002073],[0.002806, 0.002806],[0.004638, 0.004638]]"
+"115","2024-11-22","[[0.004739, 0.004739],[0.003648, 0.003648],[0.002032, 0.002032],[0.002713, 0.002713],[0.004608, 0.004608]]"
+"116","2024-11-23","[[0.00469, 0.00469],[0.003595, 0.003595],[0.001991, 0.001991],[0.002622, 0.002622],[0.004578, 0.004578]]"
+"117","2024-11-24","[[0.004639, 0.004639],[0.003543, 0.003543],[0.00195, 0.00195],[0.002532, 0.002532],[0.004546, 0.004546]]"
+"118","2024-11-25","[[0.004588, 0.004588],[0.003489, 0.003489],[0.001909, 0.001909],[0.002444, 0.002444],[0.004512, 0.004512]]"
+"119","2024-11-26","[[0.004536, 0.004536],[0.003436, 0.003436],[0.001868, 0.001868],[0.002357, 0.002357],[0.004477, 0.004477]]"
+"120","2024-11-27","[[0.004483, 0.004483],[0.003382, 0.003382],[0.001827, 0.001827],[0.002272, 0.002272],[0.00444, 0.00444]]"
+"121","2024-11-28","[[0.004429, 0.004429],[0.003328, 0.003328],[0.001786, 0.001786],[0.002189, 0.002189],[0.004403, 0.004403]]"
+"122","2024-11-29","[[0.004375, 0.004375],[0.003273, 0.003273],[0.001746, 0.001746],[0.002108, 0.002108],[0.004364, 0.004364]]"
+"123","2024-11-30","[[0.00432, 0.00432],[0.003219, 0.003219],[0.001705, 0.001705],[0.002029, 0.002029],[0.004323, 0.004323]]"
+"124","2024-12-01","[[0.004264, 0.004264],[0.003164, 0.003164],[0.001665, 0.001665],[0.001952, 0.001952],[0.004282, 0.004282]]"
+"125","2024-12-02","[[0.004208, 0.004208],[0.00311, 0.00311],[0.001625, 0.001625],[0.001877, 0.001877],[0.004239, 0.004239]]"
+"126","2024-12-03","[[0.004151, 0.004151],[0.003055, 0.003055],[0.001586, 0.001586],[0.001805, 0.001805],[0.004195, 0.004195]]"
+"127","2024-12-04","[[0.004094, 0.004094],[0.003001, 0.003001],[0.001547, 0.001547],[0.001734, 0.001734],[0.004151, 0.004151]]"
+"128","2024-12-05","[[0.004037, 0.004037],[0.002946, 0.002946],[0.001508, 0.001508],[0.001665, 0.001665],[0.004105, 0.004105]]"
+"129","2024-12-06","[[0.003979, 0.003979],[0.002892, 0.002892],[0.00147, 0.00147],[0.001599, 0.001599],[0.004058, 0.004058]]"
+"130","2024-12-07","[[0.003921, 0.003921],[0.002838, 0.002838],[0.001432, 0.001432],[0.001534, 0.001534],[0.004011, 0.004011]]"
+"131","2024-12-08","[[0.003863, 0.003863],[0.002784, 0.002784],[0.001395, 0.001395],[0.001472, 0.001472],[0.003963, 0.003963]]"
+"132","2024-12-09","[[0.003805, 0.003805],[0.002731, 0.002731],[0.001358, 0.001358],[0.001411, 0.001411],[0.003914, 0.003914]]"
+"133","2024-12-10","[[0.003746, 0.003746],[0.002677, 0.002677],[0.001322, 0.001322],[0.001353, 0.001353],[0.003865, 0.003865]]"
+"134","2024-12-11","[[0.003688, 0.003688],[0.002624, 0.002624],[0.001286, 0.001286],[0.001297, 0.001297],[0.003814, 0.003814]]"
+"135","2024-12-12","[[0.003629, 0.003629],[0.002572, 0.002572],[0.001251, 0.001251],[0.001242, 0.001242],[0.003764, 0.003764]]"
+"136","2024-12-13","[[0.003571, 0.003571],[0.00252, 0.00252],[0.001217, 0.001217],[0.00119, 0.00119],[0.003712, 0.003712]]"
+"137","2024-12-14","[[0.003513, 0.003513],[0.002468, 0.002468],[0.001183, 0.001183],[0.001139, 0.001139],[0.003661, 0.003661]]"
+"138","2024-12-15","[[0.003454, 0.003454],[0.002417, 0.002417],[0.00115, 0.00115],[0.001091, 0.001091],[0.003609, 0.003609]]"
+"139","2024-12-16","[[0.003396, 0.003396],[0.002367, 0.002367],[0.001118, 0.001118],[0.001044, 0.001044],[0.003557, 0.003557]]"
+"140","2024-12-17","[[0.003338, 0.003338],[0.002316, 0.002316],[0.001086, 0.001086],[0.000999, 0.000999],[0.003504, 0.003504]]"
+"141","2024-12-18","[[0.003281, 0.003281],[0.002267, 0.002267],[0.001054, 0.001054],[0.000955, 0.000955],[0.003451, 0.003451]]"
+"142","2024-12-19","[[0.003223, 0.003223],[0.002218, 0.002218],[0.001024, 0.001024],[0.000914, 0.000914],[0.003398, 0.003398]]"
+"143","2024-12-20","[[0.003166, 0.003166],[0.002169, 0.002169],[0.000994, 0.000994],[0.000874, 0.000874],[0.003345, 0.003345]]"
+"144","2024-12-21","[[0.003109, 0.003109],[0.002122, 0.002122],[0.000965, 0.000965],[0.000835, 0.000835],[0.003292, 0.003292]]"
+"145","2024-12-22","[[0.003053, 0.003053],[0.002075, 0.002075],[0.000936, 0.000936],[0.000798, 0.000798],[0.003238, 0.003238]]"
+"146","2024-12-23","[[0.002997, 0.002997],[0.002028, 0.002028],[0.000908, 0.000908],[0.000763, 0.000763],[0.003185, 0.003185]]"
+"147","2024-12-24","[[0.002941, 0.002941],[0.001982, 0.001982],[0.000881, 0.000881],[0.000729, 0.000729],[0.003132, 0.003132]]"
+"148","2024-12-25","[[0.002886, 0.002886],[0.001937, 0.001937],[0.000854, 0.000854],[0.000696, 0.000696],[0.003078, 0.003078]]"
+"149","2024-12-26","[[0.002831, 0.002831],[0.001892, 0.001892],[0.000828, 0.000828],[0.000665, 0.000665],[0.003025, 0.003025]]"
+"150","2024-12-27","[[0.002777, 0.002777],[0.001849, 0.001849],[0.000802, 0.000802],[0.000635, 0.000635],[0.002972, 0.002972]]"
+"151","2024-12-28","[[0.002723, 0.002723],[0.001805, 0.001805],[0.000778, 0.000778],[0.000606, 0.000606],[0.00292, 0.00292]]"
+"152","2024-12-29","[[0.00267, 0.00267],[0.001763, 0.001763],[0.000753, 0.000753],[0.000579, 0.000579],[0.002867, 0.002867]]"
+"153","2024-12-30","[[0.002617, 0.002617],[0.001721, 0.001721],[0.00073, 0.00073],[0.000553, 0.000553],[0.002815, 0.002815]]"
+"154","2024-12-31","[[0.002565, 0.002565],[0.00168, 0.00168],[0.000707, 0.000707],[0.000527, 0.000527],[0.002763, 0.002763]]"
+"155","2025-01-01","[[0.002514, 0.002514],[0.00164, 0.00164],[0.000685, 0.000685],[0.000503, 0.000503],[0.002712, 0.002712]]"
+"156","2025-01-02","[[0.002463, 0.002463],[0.0016, 0.0016],[0.000663, 0.000663],[0.00048, 0.00048],[0.00266, 0.00266]]"
+"157","2025-01-03","[[0.002413, 0.002413],[0.001561, 0.001561],[0.000642, 0.000642],[0.000458, 0.000458],[0.00261, 0.00261]]"
+"158","2025-01-04","[[0.002363, 0.002363],[0.001523, 0.001523],[0.000621, 0.000621],[0.000437, 0.000437],[0.002559, 0.002559]]"
+"159","2025-01-05","[[0.002314, 0.002314],[0.001485, 0.001485],[0.000601, 0.000601],[0.000417, 0.000417],[0.002509, 0.002509]]"
+"160","2025-01-06","[[0.002266, 0.002266],[0.001449, 0.001449],[0.000582, 0.000582],[0.000398, 0.000398],[0.00246, 0.00246]]"
+"161","2025-01-07","[[0.002218, 0.002218],[0.001413, 0.001413],[0.000563, 0.000563],[0.000379, 0.000379],[0.002411, 0.002411]]"
+"162","2025-01-08","[[0.002171, 0.002171],[0.001377, 0.001377],[0.000545, 0.000545],[0.000362, 0.000362],[0.002362, 0.002362]]"
+"163","2025-01-09","[[0.002125, 0.002125],[0.001343, 0.001343],[0.000527, 0.000527],[0.000345, 0.000345],[0.002314, 0.002314]]"
+"164","2025-01-10","[[0.002079, 0.002079],[0.001309, 0.001309],[0.00051, 0.00051],[0.000329, 0.000329],[0.002267, 0.002267]]"
+"165","2025-01-11","[[0.002034, 0.002034],[0.001275, 0.001275],[0.000493, 0.000493],[0.000313, 0.000313],[0.00222, 0.00222]]"
+"166","2025-01-12","[[0.00199, 0.00199],[0.001243, 0.001243],[0.000477, 0.000477],[0.000299, 0.000299],[0.002173, 0.002173]]"
+"167","2025-01-13","[[0.001947, 0.001947],[0.001211, 0.001211],[0.000461, 0.000461],[0.000285, 0.000285],[0.002128, 0.002128]]"
+"168","2025-01-14","[[0.001904, 0.001904],[0.00118, 0.00118],[0.000446, 0.000446],[0.000271, 0.000271],[0.002082, 0.002082]]"
+"169","2025-01-15","[[0.001862, 0.001862],[0.001149, 0.001149],[0.000431, 0.000431],[0.000259, 0.000259],[0.002038, 0.002038]]"
+"170","2025-01-16","[[0.00182, 0.00182],[0.001119, 0.001119],[0.000416, 0.000416],[0.000247, 0.000247],[0.001994, 0.001994]]"
+"171","2025-01-17","[[0.001779, 0.001779],[0.00109, 0.00109],[0.000402, 0.000402],[0.000235, 0.000235],[0.001951, 0.001951]]"
+"172","2025-01-18","[[0.001739, 0.001739],[0.001062, 0.001062],[0.000389, 0.000389],[0.000224, 0.000224],[0.001908, 0.001908]]"
+"173","2025-01-19","[[0.0017, 0.0017],[0.001034, 0.001034],[0.000376, 0.000376],[0.000213, 0.000213],[0.001866, 0.001866]]"
+"174","2025-01-20","[[0.001661, 0.001661],[0.001006, 0.001006],[0.000363, 0.000363],[0.000203, 0.000203],[0.001824, 0.001824]]"
+"175","2025-01-21","[[0.001623, 0.001623],[0.00098, 0.00098],[0.000351, 0.000351],[0.000194, 0.000194],[0.001784, 0.001784]]"
+"176","2025-01-22","[[0.001586, 0.001586],[0.000954, 0.000954],[0.000339, 0.000339],[0.000185, 0.000185],[0.001743, 0.001743]]"
+"177","2025-01-23","[[0.001549, 0.001549],[0.000928, 0.000928],[0.000327, 0.000327],[0.000176, 0.000176],[0.001704, 0.001704]]"
+"178","2025-01-24","[[0.001513, 0.001513],[0.000903, 0.000903],[0.000316, 0.000316],[0.000168, 0.000168],[0.001665, 0.001665]]"
+"179","2025-01-25","[[0.001478, 0.001478],[0.000879, 0.000879],[0.000305, 0.000305],[0.00016, 0.00016],[0.001627, 0.001627]]"
+"180","2025-01-26","[[0.001444, 0.001444],[0.000855, 0.000855],[0.000295, 0.000295],[0.000152, 0.000152],[0.00159, 0.00159]]"
+"181","2025-01-27","[[0.00141, 0.00141],[0.000832, 0.000832],[0.000285, 0.000285],[0.000145, 0.000145],[0.001553, 0.001553]]"
+"182","2025-01-28","[[0.001377, 0.001377],[0.00081, 0.00081],[0.000275, 0.000275],[0.000138, 0.000138],[0.001516, 0.001516]]"
+"183","2025-01-29","[[0.001344, 0.001344],[0.000788, 0.000788],[0.000266, 0.000266],[0.000131, 0.000131],[0.001481, 0.001481]]"
+"184","2025-01-30","[[0.001312, 0.001312],[0.000766, 0.000766],[0.000256, 0.000256],[0.000125, 0.000125],[0.001446, 0.001446]]"
+"185","2025-01-31","[[0.001281, 0.001281],[0.000745, 0.000745],[0.000248, 0.000248],[0.000119, 0.000119],[0.001412, 0.001412]]"
+"186","2025-02-01","[[0.00125, 0.00125],[0.000725, 0.000725],[0.000239, 0.000239],[0.000114, 0.000114],[0.001378, 0.001378]]"
+"187","2025-02-02","[[0.00122, 0.00122],[0.000705, 0.000705],[0.000231, 0.000231],[0.000108, 0.000108],[0.001345, 0.001345]]"
+"188","2025-02-03","[[0.001191, 0.001191],[0.000686, 0.000686],[0.000223, 0.000223],[0.000103, 0.000103],[0.001313, 0.001313]]"
+"189","2025-02-04","[[0.001162, 0.001162],[0.000667, 0.000667],[0.000215, 0.000215],[0.000098, 0.000098],[0.001281, 0.001281]]"
+"190","2025-02-05","[[0.001134, 0.001134],[0.000648, 0.000648],[0.000208, 0.000208],[0.000093, 0.000093],[0.00125, 0.00125]]"
+"191","2025-02-06","[[0.001106, 0.001106],[0.00063, 0.00063],[0.0002, 0.0002],[0.000089, 0.000089],[0.00122, 0.00122]]"
+"192","2025-02-07","[[0.001079, 0.001079],[0.000613, 0.000613],[0.000193, 0.000193],[0.000085, 0.000085],[0.00119, 0.00119]]"
+"193","2025-02-08","[[0.001053, 0.001053],[0.000596, 0.000596],[0.000187, 0.000187],[0.000081, 0.000081],[0.001161, 0.001161]]"
+"194","2025-02-09","[[0.001027, 0.001027],[0.000579, 0.000579],[0.00018, 0.00018],[0.000077, 0.000077],[0.001132, 0.001132]]"
+"195","2025-02-10","[[0.001001, 0.001001],[0.000563, 0.000563],[0.000174, 0.000174],[0.000073, 0.000073],[0.001104, 0.001104]]"
+"196","2025-02-11","[[0.000977, 0.000977],[0.000547, 0.000547],[0.000168, 0.000168],[0.00007, 0.00007],[0.001077, 0.001077]]"
+"197","2025-02-12","[[0.000953, 0.000953],[0.000532, 0.000532],[0.000162, 0.000162],[0.000066, 0.000066],[0.00105, 0.00105]]"
+"198","2025-02-13","[[0.000929, 0.000929],[0.000517, 0.000517],[0.000156, 0.000156],[0.000063, 0.000063],[0.001024, 0.001024]]"
+"199","2025-02-14","[[0.000906, 0.000906],[0.000502, 0.000502],[0.000151, 0.000151],[0.00006, 0.00006],[0.000998, 0.000998]]"
+"200","2025-02-15","[[0.000883, 0.000883],[0.000488, 0.000488],[0.000145, 0.000145],[0.000057, 0.000057],[0.000973, 0.000973]]"
+"201","2025-02-16","[[0.000861, 0.000861],[0.000474, 0.000474],[0.00014, 0.00014],[0.000055, 0.000055],[0.000949, 0.000949]]"
+"202","2025-02-17","[[0.00084, 0.00084],[0.000461, 0.000461],[0.000135, 0.000135],[0.000052, 0.000052],[0.000925, 0.000925]]"
+"203","2025-02-18","[[0.000818, 0.000818],[0.000448, 0.000448],[0.00013, 0.00013],[0.000049, 0.000049],[0.000901, 0.000901]]"
+"204","2025-02-19","[[0.000798, 0.000798],[0.000435, 0.000435],[0.000126, 0.000126],[0.000047, 0.000047],[0.000878, 0.000878]]"
+"205","2025-02-20","[[0.000778, 0.000778],[0.000423, 0.000423],[0.000121, 0.000121],[0.000045, 0.000045],[0.000856, 0.000856]]"
+"206","2025-02-21","[[0.000758, 0.000758],[0.000411, 0.000411],[0.000117, 0.000117],[0.000043, 0.000043],[0.000834, 0.000834]]"
+"207","2025-02-22","[[0.000739, 0.000739],[0.000399, 0.000399],[0.000113, 0.000113],[0.000041, 0.000041],[0.000813, 0.000813]]"
+"208","2025-02-23","[[0.00072, 0.00072],[0.000388, 0.000388],[0.000109, 0.000109],[0.000039, 0.000039],[0.000792, 0.000792]]"
+"209","2025-02-24","[[0.000702, 0.000702],[0.000377, 0.000377],[0.000105, 0.000105],[0.000037, 0.000037],[0.000771, 0.000771]]"
+"210","2025-02-25","[[0.000684, 0.000684],[0.000366, 0.000366],[0.000101, 0.000101],[0.000035, 0.000035],[0.000751, 0.000751]]"
+"211","2025-02-26","[[0.000666, 0.000666],[0.000355, 0.000355],[0.000098, 0.000098],[0.000033, 0.000033],[0.000732, 0.000732]]"
+"212","2025-02-27","[[0.000649, 0.000649],[0.000345, 0.000345],[0.000094, 0.000094],[0.000032, 0.000032],[0.000713, 0.000713]]"
+"213","2025-02-28","[[0.000633, 0.000633],[0.000335, 0.000335],[0.000091, 0.000091],[0.00003, 0.00003],[0.000694, 0.000694]]"
+"214","2025-03-01","[[0.000616, 0.000616],[0.000326, 0.000326],[0.000088, 0.000088],[0.000029, 0.000029],[0.000676, 0.000676]]"
+"215","2025-03-02","[[0.000601, 0.000601],[0.000316, 0.000316],[0.000085, 0.000085],[0.000027, 0.000027],[0.000659, 0.000659]]"
+"216","2025-03-03","[[0.000585, 0.000585],[0.000307, 0.000307],[0.000082, 0.000082],[0.000026, 0.000026],[0.000641, 0.000641]]"
+"217","2025-03-04","[[0.00057, 0.00057],[0.000298, 0.000298],[0.000079, 0.000079],[0.000025, 0.000025],[0.000625, 0.000625]]"
+"218","2025-03-05","[[0.000555, 0.000555],[0.00029, 0.00029],[0.000076, 0.000076],[0.000024, 0.000024],[0.000608, 0.000608]]"
+"219","2025-03-06","[[0.000541, 0.000541],[0.000281, 0.000281],[0.000073, 0.000073],[0.000023, 0.000023],[0.000592, 0.000592]]"
+"220","2025-03-07","[[0.000527, 0.000527],[0.000273, 0.000273],[0.000071, 0.000071],[0.000021, 0.000021],[0.000577, 0.000577]]"
+"221","2025-03-08","[[0.000513, 0.000513],[0.000265, 0.000265],[0.000068, 0.000068],[0.00002, 0.00002],[0.000561, 0.000561]]"
+"222","2025-03-09","[[0.0005, 0.0005],[0.000258, 0.000258],[0.000066, 0.000066],[0.000019, 0.000019],[0.000546, 0.000546]]"
+"223","2025-03-10","[[0.000487, 0.000487],[0.00025, 0.00025],[0.000063, 0.000063],[0.000018, 0.000018],[0.000532, 0.000532]]"
+"224","2025-03-11","[[0.000474, 0.000474],[0.000243, 0.000243],[0.000061, 0.000061],[0.000018, 0.000018],[0.000518, 0.000518]]"
+"225","2025-03-12","[[0.000462, 0.000462],[0.000236, 0.000236],[0.000059, 0.000059],[0.000017, 0.000017],[0.000504, 0.000504]]"
+"226","2025-03-13","[[0.00045, 0.00045],[0.000229, 0.000229],[0.000057, 0.000057],[0.000016, 0.000016],[0.000491, 0.000491]]"
+"227","2025-03-14","[[0.000438, 0.000438],[0.000222, 0.000222],[0.000055, 0.000055],[0.000015, 0.000015],[0.000477, 0.000477]]"
+"228","2025-03-15","[[0.000427, 0.000427],[0.000216, 0.000216],[0.000053, 0.000053],[0.000014, 0.000014],[0.000465, 0.000465]]"
+"229","2025-03-16","[[0.000416, 0.000416],[0.00021, 0.00021],[0.000051, 0.000051],[0.000014, 0.000014],[0.000452, 0.000452]]"
+"230","2025-03-17","[[0.000405, 0.000405],[0.000204, 0.000204],[0.000049, 0.000049],[0.000013, 0.000013],[0.00044, 0.00044]]"
+"231","2025-03-18","[[0.000394, 0.000394],[0.000198, 0.000198],[0.000047, 0.000047],[0.000012, 0.000012],[0.000428, 0.000428]]"
+"232","2025-03-19","[[0.000384, 0.000384],[0.000192, 0.000192],[0.000046, 0.000046],[0.000012, 0.000012],[0.000417, 0.000417]]"
+"233","2025-03-20","[[0.000374, 0.000374],[0.000186, 0.000186],[0.000044, 0.000044],[0.000011, 0.000011],[0.000406, 0.000406]]"
+"234","2025-03-21","[[0.000364, 0.000364],[0.000181, 0.000181],[0.000042, 0.000042],[0.000011, 0.000011],[0.000395, 0.000395]]"
+"235","2025-03-22","[[0.000354, 0.000354],[0.000176, 0.000176],[0.000041, 0.000041],[0.00001, 0.00001],[0.000384, 0.000384]]"
+"236","2025-03-23","[[0.000345, 0.000345],[0.00017, 0.00017],[0.000039, 0.000039],[0.00001, 0.00001],[0.000374, 0.000374]]"
+"237","2025-03-24","[[0.000336, 0.000336],[0.000165, 0.000165],[0.000038, 0.000038],[0.000009, 0.000009],[0.000364, 0.000364]]"
+"238","2025-03-25","[[0.000327, 0.000327],[0.000161, 0.000161],[0.000037, 0.000037],[0.000009, 0.000009],[0.000354, 0.000354]]"
+"239","2025-03-26","[[0.000318, 0.000318],[0.000156, 0.000156],[0.000035, 0.000035],[0.000008, 0.000008],[0.000344, 0.000344]]"
+"240","2025-03-27","[[0.00031, 0.00031],[0.000151, 0.000151],[0.000034, 0.000034],[0.000008, 0.000008],[0.000335, 0.000335]]"
+"241","2025-03-28","[[0.000302, 0.000302],[0.000147, 0.000147],[0.000033, 0.000033],[0.000008, 0.000008],[0.000326, 0.000326]]"
+"242","2025-03-29","[[0.000294, 0.000294],[0.000143, 0.000143],[0.000032, 0.000032],[0.000007, 0.000007],[0.000317, 0.000317]]"
+"243","2025-03-30","[[0.000286, 0.000286],[0.000138, 0.000138],[0.000031, 0.000031],[0.000007, 0.000007],[0.000308, 0.000308]]"
+"244","2025-03-31","[[0.000278, 0.000278],[0.000134, 0.000134],[0.000029, 0.000029],[0.000007, 0.000007],[0.0003, 0.0003]]"
+"245","2025-04-01","[[0.000271, 0.000271],[0.00013, 0.00013],[0.000028, 0.000028],[0.000006, 0.000006],[0.000292, 0.000292]]"
+"246","2025-04-02","[[0.000264, 0.000264],[0.000127, 0.000127],[0.000027, 0.000027],[0.000006, 0.000006],[0.000284, 0.000284]]"
+"247","2025-04-03","[[0.000257, 0.000257],[0.000123, 0.000123],[0.000026, 0.000026],[0.000006, 0.000006],[0.000276, 0.000276]]"
+"248","2025-04-04","[[0.00025, 0.00025],[0.000119, 0.000119],[0.000025, 0.000025],[0.000005, 0.000005],[0.000268, 0.000268]]"
+"249","2025-04-05","[[0.000243, 0.000243],[0.000116, 0.000116],[0.000024, 0.000024],[0.000005, 0.000005],[0.000261, 0.000261]]"
+"250","2025-04-06","[[0.000237, 0.000237],[0.000112, 0.000112],[0.000024, 0.000024],[0.000005, 0.000005],[0.000254, 0.000254]]"
+"251","2025-04-07","[[0.00023, 0.00023],[0.000109, 0.000109],[0.000023, 0.000023],[0.000005, 0.000005],[0.000247, 0.000247]]"
+"252","2025-04-08","[[0.000224, 0.000224],[0.000106, 0.000106],[0.000022, 0.000022],[0.000004, 0.000004],[0.00024, 0.00024]]"
+"253","2025-04-09","[[0.000218, 0.000218],[0.000103, 0.000103],[0.000021, 0.000021],[0.000004, 0.000004],[0.000234, 0.000234]]"
+"254","2025-04-10","[[0.000212, 0.000212],[0.0001, 0.0001],[0.00002, 0.00002],[0.000004, 0.000004],[0.000227, 0.000227]]"
+"255","2025-04-11","[[0.000207, 0.000207],[0.000097, 0.000097],[0.00002, 0.00002],[0.000004, 0.000004],[0.000221, 0.000221]]"
+"256","2025-04-12","[[0.000201, 0.000201],[0.000094, 0.000094],[0.000019, 0.000019],[0.000004, 0.000004],[0.000215, 0.000215]]"
+"257","2025-04-13","[[0.000196, 0.000196],[0.000091, 0.000091],[0.000018, 0.000018],[0.000003, 0.000003],[0.000209, 0.000209]]"
+"258","2025-04-14","[[0.000191, 0.000191],[0.000088, 0.000088],[0.000018, 0.000018],[0.000003, 0.000003],[0.000203, 0.000203]]"
+"259","2025-04-15","[[0.000186, 0.000186],[0.000086, 0.000086],[0.000017, 0.000017],[0.000003, 0.000003],[0.000198, 0.000198]]"
+"260","2025-04-16","[[0.000181, 0.000181],[0.000083, 0.000083],[0.000016, 0.000016],[0.000003, 0.000003],[0.000192, 0.000192]]"
+"261","2025-04-17","[[0.000176, 0.000176],[0.000081, 0.000081],[0.000016, 0.000016],[0.000003, 0.000003],[0.000187, 0.000187]]"
+"262","2025-04-18","[[0.000171, 0.000171],[0.000078, 0.000078],[0.000015, 0.000015],[0.000003, 0.000003],[0.000182, 0.000182]]"
+"263","2025-04-19","[[0.000166, 0.000166],[0.000076, 0.000076],[0.000015, 0.000015],[0.000003, 0.000003],[0.000177, 0.000177]]"
+"264","2025-04-20","[[0.000162, 0.000162],[0.000074, 0.000074],[0.000014, 0.000014],[0.000002, 0.000002],[0.000172, 0.000172]]"
+"265","2025-04-21","[[0.000158, 0.000158],[0.000072, 0.000072],[0.000014, 0.000014],[0.000002, 0.000002],[0.000167, 0.000167]]"
+"266","2025-04-22","[[0.000153, 0.000153],[0.00007, 0.00007],[0.000013, 0.000013],[0.000002, 0.000002],[0.000163, 0.000163]]"
+"267","2025-04-23","[[0.000149, 0.000149],[0.000067, 0.000067],[0.000013, 0.000013],[0.000002, 0.000002],[0.000158, 0.000158]]"
+"268","2025-04-24","[[0.000145, 0.000145],[0.000065, 0.000065],[0.000012, 0.000012],[0.000002, 0.000002],[0.000154, 0.000154]]"
+"269","2025-04-25","[[0.000141, 0.000141],[0.000064, 0.000064],[0.000012, 0.000012],[0.000002, 0.000002],[0.000149, 0.000149]]"
+"270","2025-04-26","[[0.000138, 0.000138],[0.000062, 0.000062],[0.000011, 0.000011],[0.000002, 0.000002],[0.000145, 0.000145]]"
+"271","2025-04-27","[[0.000134, 0.000134],[0.00006, 0.00006],[0.000011, 0.000011],[0.000002, 0.000002],[0.000141, 0.000141]]"
+"272","2025-04-28","[[0.00013, 0.00013],[0.000058, 0.000058],[0.000011, 0.000011],[0.000002, 0.000002],[0.000137, 0.000137]]"
+"273","2025-04-29","[[0.000127, 0.000127],[0.000056, 0.000056],[0.00001, 0.00001],[0.000002, 0.000002],[0.000134, 0.000134]]"
+"274","2025-04-30","[[0.000123, 0.000123],[0.000055, 0.000055],[0.00001, 0.00001],[0.000001, 0.000001],[0.00013, 0.00013]]"
+"275","2025-05-01","[[0.00012, 0.00012],[0.000053, 0.000053],[0.000009, 0.000009],[0.000001, 0.000001],[0.000126, 0.000126]]"
+"276","2025-05-02","[[0.000117, 0.000117],[0.000051, 0.000051],[0.000009, 0.000009],[0.000001, 0.000001],[0.000123, 0.000123]]"
+"277","2025-05-03","[[0.000114, 0.000114],[0.00005, 0.00005],[0.000009, 0.000009],[0.000001, 0.000001],[0.000119, 0.000119]]"
+"278","2025-05-04","[[0.000111, 0.000111],[0.000048, 0.000048],[0.000008, 0.000008],[0.000001, 0.000001],[0.000116, 0.000116]]"
+"279","2025-05-05","[[0.000108, 0.000108],[0.000047, 0.000047],[0.000008, 0.000008],[0.000001, 0.000001],[0.000113, 0.000113]]"
+"280","2025-05-06","[[0.000105, 0.000105],[0.000046, 0.000046],[0.000008, 0.000008],[0.000001, 0.000001],[0.00011, 0.00011]]"
+"281","2025-05-07","[[0.000102, 0.000102],[0.000044, 0.000044],[0.000008, 0.000008],[0.000001, 0.000001],[0.000107, 0.000107]]"
+"282","2025-05-08","[[0.000099, 0.000099],[0.000043, 0.000043],[0.000007, 0.000007],[0.000001, 0.000001],[0.000104, 0.000104]]"
+"283","2025-05-09","[[0.000096, 0.000096],[0.000042, 0.000042],[0.000007, 0.000007],[0.000001, 0.000001],[0.000101, 0.000101]]"
+"284","2025-05-10","[[0.000094, 0.000094],[0.00004, 0.00004],[0.000007, 0.000007],[0.000001, 0.000001],[0.000098, 0.000098]]"
+"285","2025-05-11","[[0.000091, 0.000091],[0.000039, 0.000039],[0.000007, 0.000007],[0.000001, 0.000001],[0.000095, 0.000095]]"
+"286","2025-05-12","[[0.000089, 0.000089],[0.000038, 0.000038],[0.000006, 0.000006],[0.000001, 0.000001],[0.000093, 0.000093]]"
+"287","2025-05-13","[[0.000086, 0.000086],[0.000037, 0.000037],[0.000006, 0.000006],[0.000001, 0.000001],[0.00009, 0.00009]]"
+"288","2025-05-14","[[0.000084, 0.000084],[0.000036, 0.000036],[0.000006, 0.000006],[0.000001, 0.000001],[0.000087, 0.000087]]"
+"289","2025-05-15","[[0.000082, 0.000082],[0.000035, 0.000035],[0.000006, 0.000006],[0.000001, 0.000001],[0.000085, 0.000085]]"
+"290","2025-05-16","[[0.00008, 0.00008],[0.000034, 0.000034],[0.000005, 0.000005],[0.000001, 0.000001],[0.000083, 0.000083]]"
+"291","2025-05-17","[[0.000077, 0.000077],[0.000033, 0.000033],[0.000005, 0.000005],[0.000001, 0.000001],[0.00008, 0.00008]]"
+"292","2025-05-18","[[0.000075, 0.000075],[0.000032, 0.000032],[0.000005, 0.000005],[0.000001, 0.000001],[0.000078, 0.000078]]"
+"293","2025-05-19","[[0.000073, 0.000073],[0.000031, 0.000031],[0.000005, 0.000005],[0.000001, 0.000001],[0.000076, 0.000076]]"
+"294","2025-05-20","[[0.000071, 0.000071],[0.00003, 0.00003],[0.000005, 0.000005],[0.000001, 0.000001],[0.000074, 0.000074]]"
+"295","2025-05-21","[[0.000069, 0.000069],[0.000029, 0.000029],[0.000005, 0.000005],[0.000001, 0.000001],[0.000072, 0.000072]]"
+"296","2025-05-22","[[0.000068, 0.000068],[0.000028, 0.000028],[0.000004, 0.000004],[0.000001, 0.000001],[0.00007, 0.00007]]"
+"297","2025-05-23","[[0.000066, 0.000066],[0.000027, 0.000027],[0.000004, 0.000004],[0, 0],[0.000068, 0.000068]]"
+"298","2025-05-24","[[0.000064, 0.000064],[0.000027, 0.000027],[0.000004, 0.000004],[0, 0],[0.000066, 0.000066]]"
+"299","2025-05-25","[[0.000062, 0.000062],[0.000026, 0.000026],[0.000004, 0.000004],[0, 0],[0.000064, 0.000064]]"
+"300","2025-05-26","[[0.000061, 0.000061],[0.000025, 0.000025],[0.000004, 0.000004],[0, 0],[0.000062, 0.000062]]"
+"301","2025-05-27","[[0.000059, 0.000059],[0.000024, 0.000024],[0.000004, 0.000004],[0, 0],[0.000061, 0.000061]]"
+"302","2025-05-28","[[0.000057, 0.000057],[0.000024, 0.000024],[0.000004, 0.000004],[0, 0],[0.000059, 0.000059]]"
+"303","2025-05-29","[[0.000056, 0.000056],[0.000023, 0.000023],[0.000003, 0.000003],[0, 0],[0.000057, 0.000057]]"
+"304","2025-05-30","[[0.000054, 0.000054],[0.000022, 0.000022],[0.000003, 0.000003],[0, 0],[0.000056, 0.000056]]"
+"305","2025-05-31","[[0.000053, 0.000053],[0.000021, 0.000021],[0.000003, 0.000003],[0, 0],[0.000054, 0.000054]]"
diff --git a/flu_instances/austin3_input_files_2024_2025/daily_vaccines_West.csv b/flu_instances/austin3_input_files_2024_2025/daily_vaccines_West.csv
new file mode 100644
index 0000000..67fbd45
--- /dev/null
+++ b/flu_instances/austin3_input_files_2024_2025/daily_vaccines_West.csv
@@ -0,0 +1,306 @@
+"","date","daily_vaccines"
+"1","2024-07-31","[[0.072884, 0.072884],[0.053776, 0.053776],[0.016564, 0.016564],[0.008723, 0.008723],[0.042032, 0.042032]]"
+"2","2024-08-01","[[0.001858, 0.001858],[0.001511, 0.001511],[0.000588, 0.000588],[0.000432, 0.000432],[0.001142, 0.001142]]"
+"3","2024-08-02","[[0.001901, 0.001901],[0.001549, 0.001549],[0.000608, 0.000608],[0.000453, 0.000453],[0.001171, 0.001171]]"
+"4","2024-08-03","[[0.001944, 0.001944],[0.001588, 0.001588],[0.000628, 0.000628],[0.000474, 0.000474],[0.001201, 0.001201]]"
+"5","2024-08-04","[[0.001988, 0.001988],[0.001628, 0.001628],[0.000649, 0.000649],[0.000497, 0.000497],[0.001231, 0.001231]]"
+"6","2024-08-05","[[0.002033, 0.002033],[0.001669, 0.001669],[0.000671, 0.000671],[0.000521, 0.000521],[0.001262, 0.001262]]"
+"7","2024-08-06","[[0.002078, 0.002078],[0.00171, 0.00171],[0.000693, 0.000693],[0.000546, 0.000546],[0.001293, 0.001293]]"
+"8","2024-08-07","[[0.002125, 0.002125],[0.001752, 0.001752],[0.000715, 0.000715],[0.000572, 0.000572],[0.001326, 0.001326]]"
+"9","2024-08-08","[[0.002172, 0.002172],[0.001795, 0.001795],[0.000739, 0.000739],[0.000599, 0.000599],[0.001358, 0.001358]]"
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+"14","2024-08-13","[[0.002417, 0.002417],[0.002021, 0.002021],[0.000865, 0.000865],[0.000755, 0.000755],[0.001533, 0.001533]]"
+"15","2024-08-14","[[0.002468, 0.002468],[0.002068, 0.002068],[0.000892, 0.000892],[0.00079, 0.00079],[0.00157, 0.00157]]"
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+"18","2024-08-17","[[0.002626, 0.002626],[0.002214, 0.002214],[0.000978, 0.000978],[0.000905, 0.000905],[0.001684, 0.001684]]"
+"19","2024-08-18","[[0.00268, 0.00268],[0.002264, 0.002264],[0.001008, 0.001008],[0.000947, 0.000947],[0.001724, 0.001724]]"
+"20","2024-08-19","[[0.002734, 0.002734],[0.002315, 0.002315],[0.001039, 0.001039],[0.00099, 0.00099],[0.001764, 0.001764]]"
+"21","2024-08-20","[[0.00279, 0.00279],[0.002366, 0.002366],[0.00107, 0.00107],[0.001035, 0.001035],[0.001805, 0.001805]]"
+"22","2024-08-21","[[0.002845, 0.002845],[0.002418, 0.002418],[0.001102, 0.001102],[0.001082, 0.001082],[0.001847, 0.001847]]"
+"23","2024-08-22","[[0.002901, 0.002901],[0.00247, 0.00247],[0.001135, 0.001135],[0.001131, 0.001131],[0.001889, 0.001889]]"
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+"25","2024-08-24","[[0.003015, 0.003015],[0.002577, 0.002577],[0.001202, 0.001202],[0.001234, 0.001234],[0.001976, 0.001976]]"
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+"27","2024-08-26","[[0.003131, 0.003131],[0.002685, 0.002685],[0.001272, 0.001272],[0.001344, 0.001344],[0.002066, 0.002066]]"
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+"31","2024-08-30","[[0.003369, 0.003369],[0.002907, 0.002907],[0.00142, 0.00142],[0.001591, 0.001591],[0.002252, 0.002252]]"
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+"44","2024-09-12","[[0.004162, 0.004162],[0.003647, 0.003647],[0.001954, 0.001954],[0.00263, 0.00263],[0.002922, 0.002922]]"
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+"46","2024-09-14","[[0.004282, 0.004282],[0.003758, 0.003758],[0.00204, 0.00204],[0.00282, 0.00282],[0.003031, 0.003031]]"
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+"48","2024-09-16","[[0.004402, 0.004402],[0.003868, 0.003868],[0.002126, 0.002126],[0.003015, 0.003015],[0.003142, 0.003142]]"
+"49","2024-09-17","[[0.004461, 0.004461],[0.003921, 0.003921],[0.002169, 0.002169],[0.003115, 0.003115],[0.003197, 0.003197]]"
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+"69","2024-10-07","[[0.005446, 0.005446],[0.004759, 0.004759],[0.002887, 0.002887],[0.005002, 0.005002],[0.004278, 0.004278]]"
+"70","2024-10-08","[[0.005481, 0.005481],[0.004784, 0.004784],[0.00291, 0.00291],[0.005068, 0.005068],[0.004326, 0.004326]]"
+"71","2024-10-09","[[0.005515, 0.005515],[0.004807, 0.004807],[0.002932, 0.002932],[0.00513, 0.00513],[0.004374, 0.004374]]"
+"72","2024-10-10","[[0.005546, 0.005546],[0.004829, 0.004829],[0.002951, 0.002951],[0.005186, 0.005186],[0.00442, 0.00442]]"
+"73","2024-10-11","[[0.005575, 0.005575],[0.004847, 0.004847],[0.002969, 0.002969],[0.005237, 0.005237],[0.004466, 0.004466]]"
+"74","2024-10-12","[[0.005603, 0.005603],[0.004864, 0.004864],[0.002985, 0.002985],[0.005282, 0.005282],[0.00451, 0.00451]]"
+"75","2024-10-13","[[0.005629, 0.005629],[0.004879, 0.004879],[0.003, 0.003],[0.005321, 0.005321],[0.004553, 0.004553]]"
+"76","2024-10-14","[[0.005652, 0.005652],[0.004891, 0.004891],[0.003012, 0.003012],[0.005354, 0.005354],[0.004595, 0.004595]]"
+"77","2024-10-15","[[0.005674, 0.005674],[0.004902, 0.004902],[0.003022, 0.003022],[0.005381, 0.005381],[0.004635, 0.004635]]"
+"78","2024-10-16","[[0.005694, 0.005694],[0.00491, 0.00491],[0.00303, 0.00303],[0.005402, 0.005402],[0.004674, 0.004674]]"
+"79","2024-10-17","[[0.005711, 0.005711],[0.004916, 0.004916],[0.003037, 0.003037],[0.005416, 0.005416],[0.004712, 0.004712]]"
+"80","2024-10-18","[[0.005726, 0.005726],[0.004919, 0.004919],[0.003041, 0.003041],[0.005423, 0.005423],[0.004748, 0.004748]]"
+"81","2024-10-19","[[0.00574, 0.00574],[0.004921, 0.004921],[0.003043, 0.003043],[0.005424, 0.005424],[0.004782, 0.004782]]"
+"82","2024-10-20","[[0.005751, 0.005751],[0.00492, 0.00492],[0.003043, 0.003043],[0.005419, 0.005419],[0.004815, 0.004815]]"
+"83","2024-10-21","[[0.00576, 0.00576],[0.004917, 0.004917],[0.003041, 0.003041],[0.005406, 0.005406],[0.004847, 0.004847]]"
+"84","2024-10-22","[[0.005767, 0.005767],[0.004911, 0.004911],[0.003037, 0.003037],[0.005388, 0.005388],[0.004877, 0.004877]]"
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+"86","2024-10-24","[[0.005774, 0.005774],[0.004894, 0.004894],[0.003023, 0.003023],[0.005331, 0.005331],[0.004931, 0.004931]]"
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+"92","2024-10-30","[[0.005742, 0.005742],[0.00479, 0.00479],[0.002934, 0.002934],[0.00502, 0.00502],[0.005049, 0.005049]]"
+"93","2024-10-31","[[0.005729, 0.005729],[0.004765, 0.004765],[0.002913, 0.002913],[0.00495, 0.00495],[0.005062, 0.005062]]"
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+"95","2024-11-02","[[0.005697, 0.005697],[0.00471, 0.00471],[0.002865, 0.002865],[0.004798, 0.004798],[0.005081, 0.005081]]"
+"96","2024-11-03","[[0.005678, 0.005678],[0.00468, 0.00468],[0.002839, 0.002839],[0.004715, 0.004715],[0.005088, 0.005088]]"
+"97","2024-11-04","[[0.005657, 0.005657],[0.004647, 0.004647],[0.002811, 0.002811],[0.00463, 0.00463],[0.005093, 0.005093]]"
+"98","2024-11-05","[[0.005633, 0.005633],[0.004613, 0.004613],[0.002781, 0.002781],[0.004541, 0.004541],[0.005096, 0.005096]]"
+"99","2024-11-06","[[0.005608, 0.005608],[0.004578, 0.004578],[0.002751, 0.002751],[0.004449, 0.004449],[0.005096, 0.005096]]"
+"100","2024-11-07","[[0.005581, 0.005581],[0.00454, 0.00454],[0.002719, 0.002719],[0.004355, 0.004355],[0.005095, 0.005095]]"
+"101","2024-11-08","[[0.005552, 0.005552],[0.004501, 0.004501],[0.002686, 0.002686],[0.004259, 0.004259],[0.005091, 0.005091]]"
+"102","2024-11-09","[[0.005521, 0.005521],[0.004461, 0.004461],[0.002651, 0.002651],[0.00416, 0.00416],[0.005086, 0.005086]]"
+"103","2024-11-10","[[0.005488, 0.005488],[0.004419, 0.004419],[0.002616, 0.002616],[0.004061, 0.004061],[0.005078, 0.005078]]"
+"104","2024-11-11","[[0.005453, 0.005453],[0.004376, 0.004376],[0.002579, 0.002579],[0.00396, 0.00396],[0.005068, 0.005068]]"
+"105","2024-11-12","[[0.005417, 0.005417],[0.004331, 0.004331],[0.002541, 0.002541],[0.003858, 0.003858],[0.005056, 0.005056]]"
+"106","2024-11-13","[[0.005379, 0.005379],[0.004285, 0.004285],[0.002503, 0.002503],[0.003755, 0.003755],[0.005043, 0.005043]]"
+"107","2024-11-14","[[0.005339, 0.005339],[0.004238, 0.004238],[0.002464, 0.002464],[0.003653, 0.003653],[0.005027, 0.005027]]"
+"108","2024-11-15","[[0.005298, 0.005298],[0.00419, 0.00419],[0.002424, 0.002424],[0.00355, 0.00355],[0.005009, 0.005009]]"
+"109","2024-11-16","[[0.005255, 0.005255],[0.00414, 0.00414],[0.002384, 0.002384],[0.003447, 0.003447],[0.00499, 0.00499]]"
+"110","2024-11-17","[[0.005211, 0.005211],[0.00409, 0.00409],[0.002342, 0.002342],[0.003345, 0.003345],[0.004968, 0.004968]]"
+"111","2024-11-18","[[0.005165, 0.005165],[0.004039, 0.004039],[0.002301, 0.002301],[0.003243, 0.003243],[0.004945, 0.004945]]"
+"112","2024-11-19","[[0.005119, 0.005119],[0.003986, 0.003986],[0.002259, 0.002259],[0.003142, 0.003142],[0.00492, 0.00492]]"
+"113","2024-11-20","[[0.00507, 0.00507],[0.003934, 0.003934],[0.002217, 0.002217],[0.003042, 0.003042],[0.004892, 0.004892]]"
+"114","2024-11-21","[[0.005021, 0.005021],[0.00388, 0.00388],[0.002174, 0.002174],[0.002943, 0.002943],[0.004864, 0.004864]]"
+"115","2024-11-22","[[0.00497, 0.00497],[0.003826, 0.003826],[0.002131, 0.002131],[0.002846, 0.002846],[0.004833, 0.004833]]"
+"116","2024-11-23","[[0.004918, 0.004918],[0.003771, 0.003771],[0.002088, 0.002088],[0.00275, 0.00275],[0.004801, 0.004801]]"
+"117","2024-11-24","[[0.004866, 0.004866],[0.003715, 0.003715],[0.002045, 0.002045],[0.002655, 0.002655],[0.004767, 0.004767]]"
+"118","2024-11-25","[[0.004812, 0.004812],[0.00366, 0.00366],[0.002002, 0.002002],[0.002563, 0.002563],[0.004732, 0.004732]]"
+"119","2024-11-26","[[0.004757, 0.004757],[0.003603, 0.003603],[0.001959, 0.001959],[0.002472, 0.002472],[0.004695, 0.004695]]"
+"120","2024-11-27","[[0.004702, 0.004702],[0.003547, 0.003547],[0.001916, 0.001916],[0.002383, 0.002383],[0.004657, 0.004657]]"
+"121","2024-11-28","[[0.004645, 0.004645],[0.00349, 0.00349],[0.001873, 0.001873],[0.002296, 0.002296],[0.004617, 0.004617]]"
+"122","2024-11-29","[[0.004588, 0.004588],[0.003433, 0.003433],[0.001831, 0.001831],[0.002211, 0.002211],[0.004576, 0.004576]]"
+"123","2024-11-30","[[0.004531, 0.004531],[0.003376, 0.003376],[0.001788, 0.001788],[0.002128, 0.002128],[0.004534, 0.004534]]"
+"124","2024-12-01","[[0.004472, 0.004472],[0.003319, 0.003319],[0.001746, 0.001746],[0.002048, 0.002048],[0.004491, 0.004491]]"
+"125","2024-12-02","[[0.004413, 0.004413],[0.003261, 0.003261],[0.001704, 0.001704],[0.001969, 0.001969],[0.004446, 0.004446]]"
+"126","2024-12-03","[[0.004354, 0.004354],[0.003204, 0.003204],[0.001663, 0.001663],[0.001893, 0.001893],[0.0044, 0.0044]]"
+"127","2024-12-04","[[0.004294, 0.004294],[0.003147, 0.003147],[0.001622, 0.001622],[0.001818, 0.001818],[0.004353, 0.004353]]"
+"128","2024-12-05","[[0.004234, 0.004234],[0.00309, 0.00309],[0.001582, 0.001582],[0.001746, 0.001746],[0.004305, 0.004305]]"
+"129","2024-12-06","[[0.004173, 0.004173],[0.003033, 0.003033],[0.001542, 0.001542],[0.001677, 0.001677],[0.004256, 0.004256]]"
+"130","2024-12-07","[[0.004113, 0.004113],[0.002976, 0.002976],[0.001502, 0.001502],[0.001609, 0.001609],[0.004207, 0.004207]]"
+"131","2024-12-08","[[0.004052, 0.004052],[0.00292, 0.00292],[0.001463, 0.001463],[0.001544, 0.001544],[0.004156, 0.004156]]"
+"132","2024-12-09","[[0.00399, 0.00399],[0.002864, 0.002864],[0.001424, 0.001424],[0.00148, 0.00148],[0.004105, 0.004105]]"
+"133","2024-12-10","[[0.003929, 0.003929],[0.002808, 0.002808],[0.001387, 0.001387],[0.001419, 0.001419],[0.004053, 0.004053]]"
+"134","2024-12-11","[[0.003868, 0.003868],[0.002753, 0.002753],[0.001349, 0.001349],[0.00136, 0.00136],[0.004, 0.004]]"
+"135","2024-12-12","[[0.003807, 0.003807],[0.002697, 0.002697],[0.001313, 0.001313],[0.001303, 0.001303],[0.003947, 0.003947]]"
+"136","2024-12-13","[[0.003745, 0.003745],[0.002643, 0.002643],[0.001276, 0.001276],[0.001248, 0.001248],[0.003894, 0.003894]]"
+"137","2024-12-14","[[0.003684, 0.003684],[0.002589, 0.002589],[0.001241, 0.001241],[0.001195, 0.001195],[0.003839, 0.003839]]"
+"138","2024-12-15","[[0.003623, 0.003623],[0.002535, 0.002535],[0.001206, 0.001206],[0.001144, 0.001144],[0.003785, 0.003785]]"
+"139","2024-12-16","[[0.003562, 0.003562],[0.002482, 0.002482],[0.001172, 0.001172],[0.001095, 0.001095],[0.00373, 0.00373]]"
+"140","2024-12-17","[[0.003501, 0.003501],[0.002429, 0.002429],[0.001139, 0.001139],[0.001048, 0.001048],[0.003675, 0.003675]]"
+"141","2024-12-18","[[0.003441, 0.003441],[0.002377, 0.002377],[0.001106, 0.001106],[0.001002, 0.001002],[0.003619, 0.003619]]"
+"142","2024-12-19","[[0.00338, 0.00338],[0.002326, 0.002326],[0.001074, 0.001074],[0.000958, 0.000958],[0.003564, 0.003564]]"
+"143","2024-12-20","[[0.00332, 0.00332],[0.002275, 0.002275],[0.001042, 0.001042],[0.000916, 0.000916],[0.003508, 0.003508]]"
+"144","2024-12-21","[[0.003261, 0.003261],[0.002225, 0.002225],[0.001012, 0.001012],[0.000876, 0.000876],[0.003452, 0.003452]]"
+"145","2024-12-22","[[0.003202, 0.003202],[0.002176, 0.002176],[0.000982, 0.000982],[0.000837, 0.000837],[0.003396, 0.003396]]"
+"146","2024-12-23","[[0.003143, 0.003143],[0.002127, 0.002127],[0.000952, 0.000952],[0.0008, 0.0008],[0.00334, 0.00334]]"
+"147","2024-12-24","[[0.003085, 0.003085],[0.002079, 0.002079],[0.000923, 0.000923],[0.000764, 0.000764],[0.003284, 0.003284]]"
+"148","2024-12-25","[[0.003027, 0.003027],[0.002031, 0.002031],[0.000895, 0.000895],[0.00073, 0.00073],[0.003229, 0.003229]]"
+"149","2024-12-26","[[0.002969, 0.002969],[0.001985, 0.001985],[0.000868, 0.000868],[0.000697, 0.000697],[0.003173, 0.003173]]"
+"150","2024-12-27","[[0.002912, 0.002912],[0.001939, 0.001939],[0.000842, 0.000842],[0.000666, 0.000666],[0.003117, 0.003117]]"
+"151","2024-12-28","[[0.002856, 0.002856],[0.001893, 0.001893],[0.000816, 0.000816],[0.000636, 0.000636],[0.003062, 0.003062]]"
+"152","2024-12-29","[[0.0028, 0.0028],[0.001849, 0.001849],[0.00079, 0.00079],[0.000607, 0.000607],[0.003007, 0.003007]]"
+"153","2024-12-30","[[0.002745, 0.002745],[0.001805, 0.001805],[0.000766, 0.000766],[0.000579, 0.000579],[0.002952, 0.002952]]"
+"154","2024-12-31","[[0.002691, 0.002691],[0.001762, 0.001762],[0.000741, 0.000741],[0.000553, 0.000553],[0.002898, 0.002898]]"
+"155","2025-01-01","[[0.002637, 0.002637],[0.00172, 0.00172],[0.000718, 0.000718],[0.000528, 0.000528],[0.002844, 0.002844]]"
+"156","2025-01-02","[[0.002583, 0.002583],[0.001678, 0.001678],[0.000695, 0.000695],[0.000504, 0.000504],[0.00279, 0.00279]]"
+"157","2025-01-03","[[0.002531, 0.002531],[0.001637, 0.001637],[0.000673, 0.000673],[0.00048, 0.00048],[0.002737, 0.002737]]"
+"158","2025-01-04","[[0.002478, 0.002478],[0.001597, 0.001597],[0.000652, 0.000652],[0.000458, 0.000458],[0.002684, 0.002684]]"
+"159","2025-01-05","[[0.002427, 0.002427],[0.001558, 0.001558],[0.000631, 0.000631],[0.000437, 0.000437],[0.002632, 0.002632]]"
+"160","2025-01-06","[[0.002376, 0.002376],[0.001519, 0.001519],[0.00061, 0.00061],[0.000417, 0.000417],[0.00258, 0.00258]]"
+"161","2025-01-07","[[0.002326, 0.002326],[0.001482, 0.001482],[0.000591, 0.000591],[0.000398, 0.000398],[0.002528, 0.002528]]"
+"162","2025-01-08","[[0.002277, 0.002277],[0.001444, 0.001444],[0.000571, 0.000571],[0.000379, 0.000379],[0.002477, 0.002477]]"
+"163","2025-01-09","[[0.002229, 0.002229],[0.001408, 0.001408],[0.000553, 0.000553],[0.000362, 0.000362],[0.002427, 0.002427]]"
+"164","2025-01-10","[[0.002181, 0.002181],[0.001373, 0.001373],[0.000535, 0.000535],[0.000345, 0.000345],[0.002377, 0.002377]]"
+"165","2025-01-11","[[0.002134, 0.002134],[0.001338, 0.001338],[0.000517, 0.000517],[0.000329, 0.000329],[0.002328, 0.002328]]"
+"166","2025-01-12","[[0.002087, 0.002087],[0.001303, 0.001303],[0.0005, 0.0005],[0.000313, 0.000313],[0.002279, 0.002279]]"
+"167","2025-01-13","[[0.002042, 0.002042],[0.00127, 0.00127],[0.000483, 0.000483],[0.000299, 0.000299],[0.002231, 0.002231]]"
+"168","2025-01-14","[[0.001997, 0.001997],[0.001237, 0.001237],[0.000467, 0.000467],[0.000285, 0.000285],[0.002184, 0.002184]]"
+"169","2025-01-15","[[0.001952, 0.001952],[0.001205, 0.001205],[0.000452, 0.000452],[0.000271, 0.000271],[0.002137, 0.002137]]"
+"170","2025-01-16","[[0.001909, 0.001909],[0.001174, 0.001174],[0.000437, 0.000437],[0.000259, 0.000259],[0.002091, 0.002091]]"
+"171","2025-01-17","[[0.001866, 0.001866],[0.001143, 0.001143],[0.000422, 0.000422],[0.000246, 0.000246],[0.002046, 0.002046]]"
+"172","2025-01-18","[[0.001824, 0.001824],[0.001113, 0.001113],[0.000408, 0.000408],[0.000235, 0.000235],[0.002001, 0.002001]]"
+"173","2025-01-19","[[0.001783, 0.001783],[0.001084, 0.001084],[0.000394, 0.000394],[0.000224, 0.000224],[0.001957, 0.001957]]"
+"174","2025-01-20","[[0.001742, 0.001742],[0.001055, 0.001055],[0.000381, 0.000381],[0.000213, 0.000213],[0.001913, 0.001913]]"
+"175","2025-01-21","[[0.001702, 0.001702],[0.001028, 0.001028],[0.000368, 0.000368],[0.000203, 0.000203],[0.001871, 0.001871]]"
+"176","2025-01-22","[[0.001663, 0.001663],[0.001, 0.001],[0.000355, 0.000355],[0.000194, 0.000194],[0.001829, 0.001829]]"
+"177","2025-01-23","[[0.001625, 0.001625],[0.000974, 0.000974],[0.000343, 0.000343],[0.000184, 0.000184],[0.001787, 0.001787]]"
+"178","2025-01-24","[[0.001587, 0.001587],[0.000947, 0.000947],[0.000332, 0.000332],[0.000176, 0.000176],[0.001746, 0.001746]]"
+"179","2025-01-25","[[0.00155, 0.00155],[0.000922, 0.000922],[0.00032, 0.00032],[0.000167, 0.000167],[0.001706, 0.001706]]"
+"180","2025-01-26","[[0.001514, 0.001514],[0.000897, 0.000897],[0.000309, 0.000309],[0.000159, 0.000159],[0.001667, 0.001667]]"
+"181","2025-01-27","[[0.001479, 0.001479],[0.000873, 0.000873],[0.000299, 0.000299],[0.000152, 0.000152],[0.001628, 0.001628]]"
+"182","2025-01-28","[[0.001444, 0.001444],[0.000849, 0.000849],[0.000288, 0.000288],[0.000145, 0.000145],[0.00159, 0.00159]]"
+"183","2025-01-29","[[0.001409, 0.001409],[0.000826, 0.000826],[0.000279, 0.000279],[0.000138, 0.000138],[0.001553, 0.001553]]"
+"184","2025-01-30","[[0.001376, 0.001376],[0.000804, 0.000804],[0.000269, 0.000269],[0.000131, 0.000131],[0.001517, 0.001517]]"
+"185","2025-01-31","[[0.001343, 0.001343],[0.000782, 0.000782],[0.00026, 0.00026],[0.000125, 0.000125],[0.001481, 0.001481]]"
+"186","2025-02-01","[[0.001311, 0.001311],[0.00076, 0.00076],[0.000251, 0.000251],[0.000119, 0.000119],[0.001446, 0.001446]]"
+"187","2025-02-02","[[0.00128, 0.00128],[0.00074, 0.00074],[0.000242, 0.000242],[0.000113, 0.000113],[0.001411, 0.001411]]"
+"188","2025-02-03","[[0.001249, 0.001249],[0.000719, 0.000719],[0.000234, 0.000234],[0.000108, 0.000108],[0.001377, 0.001377]]"
+"189","2025-02-04","[[0.001218, 0.001218],[0.000699, 0.000699],[0.000226, 0.000226],[0.000103, 0.000103],[0.001344, 0.001344]]"
+"190","2025-02-05","[[0.001189, 0.001189],[0.00068, 0.00068],[0.000218, 0.000218],[0.000098, 0.000098],[0.001311, 0.001311]]"
+"191","2025-02-06","[[0.00116, 0.00116],[0.000661, 0.000661],[0.00021, 0.00021],[0.000093, 0.000093],[0.001279, 0.001279]]"
+"192","2025-02-07","[[0.001132, 0.001132],[0.000643, 0.000643],[0.000203, 0.000203],[0.000089, 0.000089],[0.001248, 0.001248]]"
+"193","2025-02-08","[[0.001104, 0.001104],[0.000625, 0.000625],[0.000196, 0.000196],[0.000085, 0.000085],[0.001218, 0.001218]]"
+"194","2025-02-09","[[0.001077, 0.001077],[0.000607, 0.000607],[0.000189, 0.000189],[0.000081, 0.000081],[0.001188, 0.001188]]"
+"195","2025-02-10","[[0.00105, 0.00105],[0.00059, 0.00059],[0.000182, 0.000182],[0.000077, 0.000077],[0.001158, 0.001158]]"
+"196","2025-02-11","[[0.001024, 0.001024],[0.000574, 0.000574],[0.000176, 0.000176],[0.000073, 0.000073],[0.00113, 0.00113]]"
+"197","2025-02-12","[[0.000999, 0.000999],[0.000558, 0.000558],[0.00017, 0.00017],[0.00007, 0.00007],[0.001101, 0.001101]]"
+"198","2025-02-13","[[0.000974, 0.000974],[0.000542, 0.000542],[0.000164, 0.000164],[0.000066, 0.000066],[0.001074, 0.001074]]"
+"199","2025-02-14","[[0.00095, 0.00095],[0.000527, 0.000527],[0.000158, 0.000158],[0.000063, 0.000063],[0.001047, 0.001047]]"
+"200","2025-02-15","[[0.000926, 0.000926],[0.000512, 0.000512],[0.000152, 0.000152],[0.00006, 0.00006],[0.001021, 0.001021]]"
+"201","2025-02-16","[[0.000903, 0.000903],[0.000498, 0.000498],[0.000147, 0.000147],[0.000057, 0.000057],[0.000995, 0.000995]]"
+"202","2025-02-17","[[0.00088, 0.00088],[0.000484, 0.000484],[0.000142, 0.000142],[0.000054, 0.000054],[0.00097, 0.00097]]"
+"203","2025-02-18","[[0.000858, 0.000858],[0.00047, 0.00047],[0.000137, 0.000137],[0.000052, 0.000052],[0.000945, 0.000945]]"
+"204","2025-02-19","[[0.000837, 0.000837],[0.000457, 0.000457],[0.000132, 0.000132],[0.000049, 0.000049],[0.000921, 0.000921]]"
+"205","2025-02-20","[[0.000816, 0.000816],[0.000444, 0.000444],[0.000127, 0.000127],[0.000047, 0.000047],[0.000898, 0.000898]]"
+"206","2025-02-21","[[0.000795, 0.000795],[0.000431, 0.000431],[0.000123, 0.000123],[0.000045, 0.000045],[0.000875, 0.000875]]"
+"207","2025-02-22","[[0.000775, 0.000775],[0.000419, 0.000419],[0.000118, 0.000118],[0.000043, 0.000043],[0.000852, 0.000852]]"
+"208","2025-02-23","[[0.000755, 0.000755],[0.000407, 0.000407],[0.000114, 0.000114],[0.000041, 0.000041],[0.00083, 0.00083]]"
+"209","2025-02-24","[[0.000736, 0.000736],[0.000395, 0.000395],[0.00011, 0.00011],[0.000039, 0.000039],[0.000809, 0.000809]]"
+"210","2025-02-25","[[0.000717, 0.000717],[0.000384, 0.000384],[0.000106, 0.000106],[0.000037, 0.000037],[0.000788, 0.000788]]"
+"211","2025-02-26","[[0.000699, 0.000699],[0.000373, 0.000373],[0.000103, 0.000103],[0.000035, 0.000035],[0.000768, 0.000768]]"
+"212","2025-02-27","[[0.000681, 0.000681],[0.000362, 0.000362],[0.000099, 0.000099],[0.000033, 0.000033],[0.000748, 0.000748]]"
+"213","2025-02-28","[[0.000664, 0.000664],[0.000352, 0.000352],[0.000095, 0.000095],[0.000032, 0.000032],[0.000728, 0.000728]]"
+"214","2025-03-01","[[0.000647, 0.000647],[0.000342, 0.000342],[0.000092, 0.000092],[0.00003, 0.00003],[0.000709, 0.000709]]"
+"215","2025-03-02","[[0.00063, 0.00063],[0.000332, 0.000332],[0.000089, 0.000089],[0.000029, 0.000029],[0.000691, 0.000691]]"
+"216","2025-03-03","[[0.000614, 0.000614],[0.000322, 0.000322],[0.000086, 0.000086],[0.000027, 0.000027],[0.000673, 0.000673]]"
+"217","2025-03-04","[[0.000598, 0.000598],[0.000313, 0.000313],[0.000083, 0.000083],[0.000026, 0.000026],[0.000655, 0.000655]]"
+"218","2025-03-05","[[0.000582, 0.000582],[0.000304, 0.000304],[0.00008, 0.00008],[0.000025, 0.000025],[0.000638, 0.000638]]"
+"219","2025-03-06","[[0.000567, 0.000567],[0.000295, 0.000295],[0.000077, 0.000077],[0.000024, 0.000024],[0.000621, 0.000621]]"
+"220","2025-03-07","[[0.000553, 0.000553],[0.000287, 0.000287],[0.000074, 0.000074],[0.000022, 0.000022],[0.000605, 0.000605]]"
+"221","2025-03-08","[[0.000538, 0.000538],[0.000278, 0.000278],[0.000071, 0.000071],[0.000021, 0.000021],[0.000589, 0.000589]]"
+"222","2025-03-09","[[0.000524, 0.000524],[0.00027, 0.00027],[0.000069, 0.000069],[0.00002, 0.00002],[0.000573, 0.000573]]"
+"223","2025-03-10","[[0.000511, 0.000511],[0.000262, 0.000262],[0.000066, 0.000066],[0.000019, 0.000019],[0.000558, 0.000558]]"
+"224","2025-03-11","[[0.000497, 0.000497],[0.000255, 0.000255],[0.000064, 0.000064],[0.000018, 0.000018],[0.000543, 0.000543]]"
+"225","2025-03-12","[[0.000485, 0.000485],[0.000247, 0.000247],[0.000062, 0.000062],[0.000018, 0.000018],[0.000529, 0.000529]]"
+"226","2025-03-13","[[0.000472, 0.000472],[0.00024, 0.00024],[0.00006, 0.00006],[0.000017, 0.000017],[0.000515, 0.000515]]"
+"227","2025-03-14","[[0.00046, 0.00046],[0.000233, 0.000233],[0.000057, 0.000057],[0.000016, 0.000016],[0.000501, 0.000501]]"
+"228","2025-03-15","[[0.000448, 0.000448],[0.000226, 0.000226],[0.000055, 0.000055],[0.000015, 0.000015],[0.000487, 0.000487]]"
+"229","2025-03-16","[[0.000436, 0.000436],[0.00022, 0.00022],[0.000053, 0.000053],[0.000014, 0.000014],[0.000474, 0.000474]]"
+"230","2025-03-17","[[0.000424, 0.000424],[0.000213, 0.000213],[0.000051, 0.000051],[0.000014, 0.000014],[0.000462, 0.000462]]"
+"231","2025-03-18","[[0.000413, 0.000413],[0.000207, 0.000207],[0.00005, 0.00005],[0.000013, 0.000013],[0.000449, 0.000449]]"
+"232","2025-03-19","[[0.000402, 0.000402],[0.000201, 0.000201],[0.000048, 0.000048],[0.000012, 0.000012],[0.000437, 0.000437]]"
+"233","2025-03-20","[[0.000392, 0.000392],[0.000195, 0.000195],[0.000046, 0.000046],[0.000012, 0.000012],[0.000425, 0.000425]]"
+"234","2025-03-21","[[0.000382, 0.000382],[0.00019, 0.00019],[0.000044, 0.000044],[0.000011, 0.000011],[0.000414, 0.000414]]"
+"235","2025-03-22","[[0.000371, 0.000371],[0.000184, 0.000184],[0.000043, 0.000043],[0.000011, 0.000011],[0.000403, 0.000403]]"
+"236","2025-03-23","[[0.000362, 0.000362],[0.000179, 0.000179],[0.000041, 0.000041],[0.00001, 0.00001],[0.000392, 0.000392]]"
+"237","2025-03-24","[[0.000352, 0.000352],[0.000173, 0.000173],[0.00004, 0.00004],[0.00001, 0.00001],[0.000381, 0.000381]]"
+"238","2025-03-25","[[0.000343, 0.000343],[0.000168, 0.000168],[0.000038, 0.000038],[0.000009, 0.000009],[0.000371, 0.000371]]"
+"239","2025-03-26","[[0.000334, 0.000334],[0.000163, 0.000163],[0.000037, 0.000037],[0.000009, 0.000009],[0.000361, 0.000361]]"
+"240","2025-03-27","[[0.000325, 0.000325],[0.000159, 0.000159],[0.000036, 0.000036],[0.000008, 0.000008],[0.000351, 0.000351]]"
+"241","2025-03-28","[[0.000316, 0.000316],[0.000154, 0.000154],[0.000034, 0.000034],[0.000008, 0.000008],[0.000342, 0.000342]]"
+"242","2025-03-29","[[0.000308, 0.000308],[0.000149, 0.000149],[0.000033, 0.000033],[0.000008, 0.000008],[0.000332, 0.000332]]"
+"243","2025-03-30","[[0.0003, 0.0003],[0.000145, 0.000145],[0.000032, 0.000032],[0.000007, 0.000007],[0.000323, 0.000323]]"
+"244","2025-03-31","[[0.000292, 0.000292],[0.000141, 0.000141],[0.000031, 0.000031],[0.000007, 0.000007],[0.000314, 0.000314]]"
+"245","2025-04-01","[[0.000284, 0.000284],[0.000137, 0.000137],[0.00003, 0.00003],[0.000007, 0.000007],[0.000306, 0.000306]]"
+"246","2025-04-02","[[0.000277, 0.000277],[0.000133, 0.000133],[0.000029, 0.000029],[0.000006, 0.000006],[0.000298, 0.000298]]"
+"247","2025-04-03","[[0.000269, 0.000269],[0.000129, 0.000129],[0.000028, 0.000028],[0.000006, 0.000006],[0.000289, 0.000289]]"
+"248","2025-04-04","[[0.000262, 0.000262],[0.000125, 0.000125],[0.000027, 0.000027],[0.000006, 0.000006],[0.000282, 0.000282]]"
+"249","2025-04-05","[[0.000255, 0.000255],[0.000121, 0.000121],[0.000026, 0.000026],[0.000005, 0.000005],[0.000274, 0.000274]]"
+"250","2025-04-06","[[0.000248, 0.000248],[0.000118, 0.000118],[0.000025, 0.000025],[0.000005, 0.000005],[0.000266, 0.000266]]"
+"251","2025-04-07","[[0.000242, 0.000242],[0.000114, 0.000114],[0.000024, 0.000024],[0.000005, 0.000005],[0.000259, 0.000259]]"
+"252","2025-04-08","[[0.000235, 0.000235],[0.000111, 0.000111],[0.000023, 0.000023],[0.000005, 0.000005],[0.000252, 0.000252]]"
+"253","2025-04-09","[[0.000229, 0.000229],[0.000108, 0.000108],[0.000022, 0.000022],[0.000004, 0.000004],[0.000245, 0.000245]]"
+"254","2025-04-10","[[0.000223, 0.000223],[0.000104, 0.000104],[0.000021, 0.000021],[0.000004, 0.000004],[0.000238, 0.000238]]"
+"255","2025-04-11","[[0.000217, 0.000217],[0.000101, 0.000101],[0.000021, 0.000021],[0.000004, 0.000004],[0.000232, 0.000232]]"
+"256","2025-04-12","[[0.000211, 0.000211],[0.000098, 0.000098],[0.00002, 0.00002],[0.000004, 0.000004],[0.000225, 0.000225]]"
+"257","2025-04-13","[[0.000205, 0.000205],[0.000096, 0.000096],[0.000019, 0.000019],[0.000004, 0.000004],[0.000219, 0.000219]]"
+"258","2025-04-14","[[0.0002, 0.0002],[0.000093, 0.000093],[0.000018, 0.000018],[0.000003, 0.000003],[0.000213, 0.000213]]"
+"259","2025-04-15","[[0.000195, 0.000195],[0.00009, 0.00009],[0.000018, 0.000018],[0.000003, 0.000003],[0.000207, 0.000207]]"
+"260","2025-04-16","[[0.000189, 0.000189],[0.000087, 0.000087],[0.000017, 0.000017],[0.000003, 0.000003],[0.000202, 0.000202]]"
+"261","2025-04-17","[[0.000184, 0.000184],[0.000085, 0.000085],[0.000017, 0.000017],[0.000003, 0.000003],[0.000196, 0.000196]]"
+"262","2025-04-18","[[0.000179, 0.000179],[0.000082, 0.000082],[0.000016, 0.000016],[0.000003, 0.000003],[0.000191, 0.000191]]"
+"263","2025-04-19","[[0.000175, 0.000175],[0.00008, 0.00008],[0.000015, 0.000015],[0.000003, 0.000003],[0.000185, 0.000185]]"
+"264","2025-04-20","[[0.00017, 0.00017],[0.000077, 0.000077],[0.000015, 0.000015],[0.000003, 0.000003],[0.00018, 0.00018]]"
+"265","2025-04-21","[[0.000165, 0.000165],[0.000075, 0.000075],[0.000014, 0.000014],[0.000002, 0.000002],[0.000175, 0.000175]]"
+"266","2025-04-22","[[0.000161, 0.000161],[0.000073, 0.000073],[0.000014, 0.000014],[0.000002, 0.000002],[0.00017, 0.00017]]"
+"267","2025-04-23","[[0.000157, 0.000157],[0.000071, 0.000071],[0.000013, 0.000013],[0.000002, 0.000002],[0.000166, 0.000166]]"
+"268","2025-04-24","[[0.000152, 0.000152],[0.000069, 0.000069],[0.000013, 0.000013],[0.000002, 0.000002],[0.000161, 0.000161]]"
+"269","2025-04-25","[[0.000148, 0.000148],[0.000067, 0.000067],[0.000012, 0.000012],[0.000002, 0.000002],[0.000157, 0.000157]]"
+"270","2025-04-26","[[0.000144, 0.000144],[0.000065, 0.000065],[0.000012, 0.000012],[0.000002, 0.000002],[0.000152, 0.000152]]"
+"271","2025-04-27","[[0.00014, 0.00014],[0.000063, 0.000063],[0.000011, 0.000011],[0.000002, 0.000002],[0.000148, 0.000148]]"
+"272","2025-04-28","[[0.000137, 0.000137],[0.000061, 0.000061],[0.000011, 0.000011],[0.000002, 0.000002],[0.000144, 0.000144]]"
+"273","2025-04-29","[[0.000133, 0.000133],[0.000059, 0.000059],[0.000011, 0.000011],[0.000002, 0.000002],[0.00014, 0.00014]]"
+"274","2025-04-30","[[0.000129, 0.000129],[0.000057, 0.000057],[0.00001, 0.00001],[0.000002, 0.000002],[0.000136, 0.000136]]"
+"275","2025-05-01","[[0.000126, 0.000126],[0.000056, 0.000056],[0.00001, 0.00001],[0.000001, 0.000001],[0.000132, 0.000132]]"
+"276","2025-05-02","[[0.000122, 0.000122],[0.000054, 0.000054],[0.00001, 0.00001],[0.000001, 0.000001],[0.000129, 0.000129]]"
+"277","2025-05-03","[[0.000119, 0.000119],[0.000052, 0.000052],[0.000009, 0.000009],[0.000001, 0.000001],[0.000125, 0.000125]]"
+"278","2025-05-04","[[0.000116, 0.000116],[0.000051, 0.000051],[0.000009, 0.000009],[0.000001, 0.000001],[0.000122, 0.000122]]"
+"279","2025-05-05","[[0.000113, 0.000113],[0.000049, 0.000049],[0.000009, 0.000009],[0.000001, 0.000001],[0.000118, 0.000118]]"
+"280","2025-05-06","[[0.00011, 0.00011],[0.000048, 0.000048],[0.000008, 0.000008],[0.000001, 0.000001],[0.000115, 0.000115]]"
+"281","2025-05-07","[[0.000107, 0.000107],[0.000046, 0.000046],[0.000008, 0.000008],[0.000001, 0.000001],[0.000112, 0.000112]]"
+"282","2025-05-08","[[0.000104, 0.000104],[0.000045, 0.000045],[0.000008, 0.000008],[0.000001, 0.000001],[0.000109, 0.000109]]"
+"283","2025-05-09","[[0.000101, 0.000101],[0.000044, 0.000044],[0.000007, 0.000007],[0.000001, 0.000001],[0.000106, 0.000106]]"
+"284","2025-05-10","[[0.000098, 0.000098],[0.000042, 0.000042],[0.000007, 0.000007],[0.000001, 0.000001],[0.000103, 0.000103]]"
+"285","2025-05-11","[[0.000096, 0.000096],[0.000041, 0.000041],[0.000007, 0.000007],[0.000001, 0.000001],[0.0001, 0.0001]]"
+"286","2025-05-12","[[0.000093, 0.000093],[0.00004, 0.00004],[0.000007, 0.000007],[0.000001, 0.000001],[0.000097, 0.000097]]"
+"287","2025-05-13","[[0.000091, 0.000091],[0.000039, 0.000039],[0.000006, 0.000006],[0.000001, 0.000001],[0.000094, 0.000094]]"
+"288","2025-05-14","[[0.000088, 0.000088],[0.000038, 0.000038],[0.000006, 0.000006],[0.000001, 0.000001],[0.000092, 0.000092]]"
+"289","2025-05-15","[[0.000086, 0.000086],[0.000037, 0.000037],[0.000006, 0.000006],[0.000001, 0.000001],[0.000089, 0.000089]]"
+"290","2025-05-16","[[0.000083, 0.000083],[0.000035, 0.000035],[0.000006, 0.000006],[0.000001, 0.000001],[0.000087, 0.000087]]"
+"291","2025-05-17","[[0.000081, 0.000081],[0.000034, 0.000034],[0.000006, 0.000006],[0.000001, 0.000001],[0.000084, 0.000084]]"
+"292","2025-05-18","[[0.000079, 0.000079],[0.000033, 0.000033],[0.000005, 0.000005],[0.000001, 0.000001],[0.000082, 0.000082]]"
+"293","2025-05-19","[[0.000077, 0.000077],[0.000032, 0.000032],[0.000005, 0.000005],[0.000001, 0.000001],[0.00008, 0.00008]]"
+"294","2025-05-20","[[0.000075, 0.000075],[0.000031, 0.000031],[0.000005, 0.000005],[0.000001, 0.000001],[0.000077, 0.000077]]"
+"295","2025-05-21","[[0.000073, 0.000073],[0.00003, 0.00003],[0.000005, 0.000005],[0.000001, 0.000001],[0.000075, 0.000075]]"
+"296","2025-05-22","[[0.000071, 0.000071],[0.00003, 0.00003],[0.000005, 0.000005],[0.000001, 0.000001],[0.000073, 0.000073]]"
+"297","2025-05-23","[[0.000069, 0.000069],[0.000029, 0.000029],[0.000004, 0.000004],[0.000001, 0.000001],[0.000071, 0.000071]]"
+"298","2025-05-24","[[0.000067, 0.000067],[0.000028, 0.000028],[0.000004, 0.000004],[0, 0],[0.000069, 0.000069]]"
+"299","2025-05-25","[[0.000065, 0.000065],[0.000027, 0.000027],[0.000004, 0.000004],[0, 0],[0.000067, 0.000067]]"
+"300","2025-05-26","[[0.000063, 0.000063],[0.000026, 0.000026],[0.000004, 0.000004],[0, 0],[0.000065, 0.000065]]"
+"301","2025-05-27","[[0.000062, 0.000062],[0.000025, 0.000025],[0.000004, 0.000004],[0, 0],[0.000064, 0.000064]]"
+"302","2025-05-28","[[0.00006, 0.00006],[0.000025, 0.000025],[0.000004, 0.000004],[0, 0],[0.000062, 0.000062]]"
+"303","2025-05-29","[[0.000058, 0.000058],[0.000024, 0.000024],[0.000004, 0.000004],[0, 0],[0.00006, 0.00006]]"
+"304","2025-05-30","[[0.000057, 0.000057],[0.000023, 0.000023],[0.000003, 0.000003],[0, 0],[0.000058, 0.000058]]"
+"305","2025-05-31","[[0.000055, 0.000055],[0.000023, 0.000023],[0.000003, 0.000003],[0, 0],[0.000057, 0.000057]]"
diff --git a/flu_instances/austin3_input_files_2024_2025/init_vals_East.json b/flu_instances/austin3_input_files_2024_2025/init_vals_East.json
new file mode 100644
index 0000000..57031d3
--- /dev/null
+++ b/flu_instances/austin3_input_files_2024_2025/init_vals_East.json
@@ -0,0 +1,62 @@
+{
+	"S": [[19042, 1083],
+		[42012, 5851],
+		[155326, 35566],
+		[28745, 15785],
+		[11757, 14296]],
+	"E": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"IP": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"ISR": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"ISH": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"IA": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"HR": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"HD": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"R": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"D": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"M": [[0.0973, 0.0973],
+		[0.1356, 0.1356],
+		[0.0184, 0.0184],
+		[0.069, 0.069],
+		[0.024, 0.024]],
+	"MV": [[0.0, 0.0],
+		[0.0, 0.0],
+		[0.0, 0.0],
+		[0.0, 0.0],
+		[0.0, 0.0]]
+}
diff --git a/flu_instances/austin3_input_files_2024_2025/init_vals_Mid.json b/flu_instances/austin3_input_files_2024_2025/init_vals_Mid.json
new file mode 100644
index 0000000..b4b03d8
--- /dev/null
+++ b/flu_instances/austin3_input_files_2024_2025/init_vals_Mid.json
@@ -0,0 +1,62 @@
+{
+	"S": [[16482, 883],
+		[30001, 3935],
+		[156348, 33624],
+		[32335, 16517],
+		[16680, 18716]],
+	"E": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"IP": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"ISR": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"ISH": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"IA": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"HR": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"HD": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"R": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"D": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"M": [[0.0617, 0.0617],
+		[0.1263, 0.1263],
+		[0.0117, 0.0117],
+		[0.0534, 0.0534],
+		[0.0164, 0.0164]],
+	"MV": [[0.0, 0.0],
+		[0.0, 0.0],
+		[0.0, 0.0],
+		[0.0, 0.0],
+		[0.0, 0.0]]
+}
diff --git a/flu_instances/austin3_input_files_2024_2025/init_vals_West.json b/flu_instances/austin3_input_files_2024_2025/init_vals_West.json
new file mode 100644
index 0000000..f68751e
--- /dev/null
+++ b/flu_instances/austin3_input_files_2024_2025/init_vals_West.json
@@ -0,0 +1,62 @@
+{
+	"S": [[22587, 1123],
+		[71606, 8841],
+		[200589, 45863],
+		[58734, 32740],
+		[30455, 39321]],
+	"E": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[5, 0]],
+	"IP": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"ISR": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"ISH": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"IA": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"HR": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"HD": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"R": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"D": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"M": [[0.0473, 0.0473],
+		[0.0381, 0.0381],
+		[0.0164, 0.0164],
+		[0.0221, 0.0221],
+		[0.0117, 0.0117]],
+	"MV": [[0.0, 0.0],
+		[0.0, 0.0],
+		[0.0, 0.0],
+		[0.0, 0.0],
+		[0.0, 0.0]]
+}
diff --git a/flu_instances/austin3_input_files_2024_2025/mixing_params.json b/flu_instances/austin3_input_files_2024_2025/mixing_params.json
new file mode 100644
index 0000000..de3554d
--- /dev/null
+++ b/flu_instances/austin3_input_files_2024_2025/mixing_params.json
@@ -0,0 +1,7 @@
+{
+    "num_locations":  3,
+    "travel_proportions":
+    [[0.91,0.06,0.03],
+     [0.01,0.96,0.03],
+     [0.01,0.02,0.97]]
+}
diff --git a/flu_instances/austin3_input_files_2024_2025/mobility_modifier.csv b/flu_instances/austin3_input_files_2024_2025/mobility_modifier.csv
new file mode 100644
index 0000000..7957201
--- /dev/null
+++ b/flu_instances/austin3_input_files_2024_2025/mobility_modifier.csv
@@ -0,0 +1,8 @@
+0,day_of_week,mobility_modifier
+1,Monday,"[[0.94],[0.94],[1.05],[1.07],[0.93]]"
+2,Tuesday,"[[0.94],[0.94],[1.05],[1.07],[0.93]]"
+3,Wednesday,"[[0.94],[0.94],[1.05],[1.07],[0.93]]"
+4,Thursday,"[[0.94],[0.94],[1.05],[1.07],[0.93]]"
+5,Friday,"[[0.94],[0.94],[1.05],[1.07],[0.93]]"
+6,Saturday,"[[0.78],[0.78],[1.16],[1.16],[0.79]]"
+7,Sunday,"[[0.61],[0.61],[0.83],[0.89],[0.68]]"
diff --git a/flu_instances/austin3_input_files_2024_2025/numIndiv_austin3.csv b/flu_instances/austin3_input_files_2024_2025/numIndiv_austin3.csv
new file mode 100644
index 0000000..90b51cb
--- /dev/null
+++ b/flu_instances/austin3_input_files_2024_2025/numIndiv_austin3.csv
@@ -0,0 +1,5 @@
+,Subpop,0-4,5-17,18-49,50-64,65plus,Totals
+0,East,20125,47863,190892,44530,26053,329463
+1,Mid,17365,33936,189972,48852,35396,325521
+2,West,23710,80447,246452,91474,69781,511864
+,Totals,61200,162246,627316,184856,131230,1166848
diff --git a/flu_instances/austin3_input_files_2024_2025/school_work_calendar_austin_East.csv b/flu_instances/austin3_input_files_2024_2025/school_work_calendar_austin_East.csv
new file mode 100644
index 0000000..8b5e353
--- /dev/null
+++ b/flu_instances/austin3_input_files_2024_2025/school_work_calendar_austin_East.csv
@@ -0,0 +1,305 @@
+,date,is_school_day,is_work_day
+0,2024-08-01,0,0.87
+1,2024-08-02,0,0.87
+2,2024-08-03,0,0.29
+3,2024-08-04,0,0.29
+4,2024-08-05,0,0.87
+5,2024-08-06,0,0.87
+6,2024-08-07,0.22,0.87
+7,2024-08-08,0.22,0.87
+8,2024-08-09,0.22,0.87
+9,2024-08-10,0,0.29
+10,2024-08-11,0,0.29
+11,2024-08-12,0.22,0.87
+12,2024-08-13,0.32,0.87
+13,2024-08-14,0.46,0.87
+14,2024-08-15,0.46,0.87
+15,2024-08-16,0.46,0.87
+16,2024-08-17,0,0.29
+17,2024-08-18,0,0.29
+18,2024-08-19,0.46,0.87
+19,2024-08-20,1,0.87
+20,2024-08-21,1,0.87
+21,2024-08-22,1,0.87
+22,2024-08-23,1,0.87
+23,2024-08-24,0,0.29
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diff --git a/flu_instances/austin3_input_files_2024_2025/school_work_calendar_austin_Mid.csv b/flu_instances/austin3_input_files_2024_2025/school_work_calendar_austin_Mid.csv
new file mode 100644
index 0000000..1bf6329
--- /dev/null
+++ b/flu_instances/austin3_input_files_2024_2025/school_work_calendar_austin_Mid.csv
@@ -0,0 +1,305 @@
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diff --git a/flu_instances/austin3_input_files_2024_2025/school_work_calendar_austin_West.csv b/flu_instances/austin3_input_files_2024_2025/school_work_calendar_austin_West.csv
new file mode 100644
index 0000000..5d9b4f3
--- /dev/null
+++ b/flu_instances/austin3_input_files_2024_2025/school_work_calendar_austin_West.csv
@@ -0,0 +1,305 @@
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diff --git a/flu_instances/austin3_input_files_2024_2025/simulation_settings.json b/flu_instances/austin3_input_files_2024_2025/simulation_settings.json
new file mode 100644
index 0000000..8bba684
--- /dev/null
+++ b/flu_instances/austin3_input_files_2024_2025/simulation_settings.json
@@ -0,0 +1,8 @@
+{
+	"timesteps_per_day":7,
+	"transition_type":"binom_deterministic_no_round",
+	"use_deterministic_softplus": false,
+	"start_real_date": "2024-09-15",
+	"save_daily_history": true,
+    "transition_variables_to_save": ["ISH_to_HR", "ISH_to_HD", "S_to_E", "E_to_IP", "R_to_S","IA_to_R", "ISR_to_R","HR_to_R", "HD_to_D"]
+}
diff --git a/flu_instances/austin_input_files/What changed.txt b/flu_instances/austin_input_files/What changed.txt
deleted file mode 100644
index b68926d..0000000
--- a/flu_instances/austin_input_files/What changed.txt	
+++ /dev/null
@@ -1,24 +0,0 @@
-Updated mobility to current values from Jose, but dwell time is not weighted, and population size used was 18+ not 16+.
-
-Updated calendars, separate for each subpop
-
-Updated vaccination, now age specific
-
-Updated Mv(0) [now age specific] and M(0) [M(0) is still a work in progress]
-
-Updated humidity
-
-Updated initial E in West (works better given code changes)
-
-Using hospitalization data based on NSSP as calibration standards
-
-Updated start date based on hospitalization data from NSSP
-
-Updated vax induced risk reduction for infec. & hosp  
-
-Had wrong Hr to R rate, so updated this
-
-Updated mobility modifier to exclude trips > 30 miles.  Now day of week specific.
-
-Code changes since last update:  Remy made vacc AxR.  Added the switch for PySoft and turned it off.  Made mobility modifer a schedule, so can vary by day of week.  
-
diff --git a/flu_instances/austin_input_files_2023_2024/common_subpop_params.json b/flu_instances/austin_input_files_2023_2024/common_subpop_params.json
index 1ffe0dc..5f030f6 100644
--- a/flu_instances/austin_input_files_2023_2024/common_subpop_params.json
+++ b/flu_instances/austin_input_files_2023_2024/common_subpop_params.json
@@ -1,16 +1,16 @@
 {
 	"num_age_groups":5,
-	"num_risk_groups":1,
-	"beta_baseline": 0.031,
+	"num_risk_groups":2,
+	"beta_baseline": 0.045,
     "humidity_impact": 0.0119,
 	"inf_induced_saturation": 0.7,
-	"inf_induced_immune_wane": 0.01,
+	"inf_induced_immune_wane": 0.0037,
 	"vax_induced_saturation": 0.2,
-    "vax_induced_immune_wane": [[0.0025],[0.0025],[0.0025],[0.0025],[0.0036]],
+    "vax_induced_immune_wane": [[0.0025,0.0025],[0.0025,0.0025],[0.0025,0.0025],[0.0025,0.0025],[0.0036,0.0036]],
 	"inf_induced_inf_risk_reduce": 0.80,
 	"inf_induced_hosp_risk_reduce": 0.87,
 	"inf_induced_death_risk_reduce": 0.0,
-	"vax_induced_inf_risk_reduce": [[0.52],[0.52],[0.43],[0.43],[0.10]],
+    "vax_induced_inf_risk_reduce": [[0.52,0.52],[0.52,0.52],[0.43,0.43],[0.43,0.43],[0.10,0.10]],
     "vax_induced_hosp_risk_reduce": [[0.63],[0.63],[0.51],[0.51],[0.57]],
 	"vax_induced_death_risk_reduce": 0.0,
 	"vax_protection_delay_days": 14,
@@ -19,30 +19,20 @@
     "E_to_I_rate": 1.43,
     "IP_to_IS_rate": 1.11,
     "ISH_to_H_rate": 0.27,
-    "ISR_to_R_rate": 0.5,
+    "ISR_to_R_rate": 0.50,
     "IA_to_R_rate": 0.43,
-    "HR_to_R_rate": [[0.21],[0.21],[0.16],[0.15],[0.15]],
-    "HD_to_D_rate": 0.17,
-    "E_to_IA_prop": [[0.25],[0.25],[0.3],[0.3],[0.3]],
+    "HR_to_R_rate": [[0.23,0.23],[0.22,0.22],[0.21,0.21],[0.19,0.19],[0.19,0.19]],
+    "HD_to_D_rate": [[0.11,0.11],[0.11,0.11],[0.06,0.06],[0.09,0.09],[0.12,0.12]],
+    "E_to_IA_prop": [[0.25,0.25],[0.25,0.25],[0.3,0.3],[0.3,0.3],[0.3,0.3]],
 	"IP_relative_inf": 2.22,
 	"IA_relative_inf": 1.03,
-	"relative_suscept":
-		[[1.0],
-		[1.0],
-		[1.0],
-		[1.0],
-		[1.0]],
-    "ISH_to_HD_prop": [[0.0132],
-                       [0.0099],
-                       [0.0295],
-                       [0.0595],
-                       [0.0802]],
-    "IP_to_ISH_prop": [[0.0070],
-                       [0.0027],
-                       [0.0056],
-                       [0.0106],
-                       [0.0909]],
-
+	"relative_suscept":[[1.0,1.0], [1.0,1.0], [1.0,1.0], [1.0,1.0], [1.0,1.0]],
+    "ISH_to_HD_prop": [[0.0154,0.0154], [0.0105,0.0105], [0.0269,0.0269], [0.0577,0.0577], [0.0819,0.0819]],
+    "IP_to_ISH_prop": [[0.0051, 0.0399],
+                       [0.0022, 0.0069],
+                       [0.0024, 0.0162],
+                       [0.0028, 0.0201],
+                       [0.0236, 0.1200]],
 "work_contact_matrix": [
         [
             0.0,
diff --git a/flu_instances/austin_input_files_2023_2024/daily_vaccines_East.csv b/flu_instances/austin_input_files_2023_2024/daily_vaccines_East.csv
index b2a2e3a..c0dc130 100644
--- a/flu_instances/austin_input_files_2023_2024/daily_vaccines_East.csv
+++ b/flu_instances/austin_input_files_2023_2024/daily_vaccines_East.csv
@@ -1,307 +1,307 @@
 "","date","daily_vaccines"
-"1","2023-07-31","[[0.034872],[0.048705],[0.022196],[0.004548],[0.014761]]"
-"2","2023-08-01","[[0.001162],[0.001344],[0.000534],[0.00025],[0.000665]]"
-"3","2023-08-02","[[0.001199],[0.001377],[0.000547],[0.000264],[0.000694]]"
-"4","2023-08-03","[[0.001236],[0.001412],[0.000559],[0.000278],[0.000725]]"
-"5","2023-08-04","[[0.001275],[0.001446],[0.000571],[0.000293],[0.000757]]"
-"6","2023-08-05","[[0.001314],[0.001482],[0.000584],[0.000309],[0.00079]]"
-"7","2023-08-06","[[0.001355],[0.001518],[0.000597],[0.000326],[0.000824]]"
-"8","2023-08-07","[[0.001396],[0.001555],[0.00061],[0.000343],[0.00086]]"
-"9","2023-08-08","[[0.001439],[0.001592],[0.000624],[0.000362],[0.000898]]"
-"10","2023-08-09","[[0.001483],[0.00163],[0.000637],[0.000381],[0.000937]]"
-"11","2023-08-10","[[0.001528],[0.001669],[0.000651],[0.000402],[0.000977]]"
-"12","2023-08-11","[[0.001574],[0.001709],[0.000665],[0.000423],[0.001019]]"
-"13","2023-08-12","[[0.001621],[0.001749],[0.00068],[0.000446],[0.001063]]"
-"14","2023-08-13","[[0.001669],[0.001789],[0.000694],[0.00047],[0.001109]]"
-"15","2023-08-14","[[0.001718],[0.00183],[0.000709],[0.000495],[0.001156]]"
-"16","2023-08-15","[[0.001769],[0.001872],[0.000724],[0.000521],[0.001205]]"
-"17","2023-08-16","[[0.00182],[0.001915],[0.00074],[0.000548],[0.001257]]"
-"18","2023-08-17","[[0.001873],[0.001958],[0.000755],[0.000577],[0.00131]]"
-"19","2023-08-18","[[0.001927],[0.002001],[0.000771],[0.000607],[0.001365]]"
-"20","2023-08-19","[[0.001982],[0.002046],[0.000788],[0.000639],[0.001422]]"
-"21","2023-08-20","[[0.002039],[0.00209],[0.000804],[0.000673],[0.001481]]"
-"22","2023-08-21","[[0.002096],[0.002136],[0.000821],[0.000708],[0.001543]]"
-"23","2023-08-22","[[0.002155],[0.002181],[0.000838],[0.000744],[0.001607]]"
-"24","2023-08-23","[[0.002215],[0.002228],[0.000855],[0.000783],[0.001673]]"
-"25","2023-08-24","[[0.002276],[0.002274],[0.000872],[0.000823],[0.001742]]"
-"26","2023-08-25","[[0.002338],[0.002322],[0.00089],[0.000865],[0.001813]]"
-"27","2023-08-26","[[0.002401],[0.002369],[0.000908],[0.000909],[0.001886]]"
-"28","2023-08-27","[[0.002465],[0.002417],[0.000926],[0.000955],[0.001962]]"
-"29","2023-08-28","[[0.002531],[0.002466],[0.000944],[0.001003],[0.002041]]"
-"30","2023-08-29","[[0.002597],[0.002514],[0.000963],[0.001054],[0.002122]]"
-"31","2023-08-30","[[0.002664],[0.002563],[0.000982],[0.001106],[0.002206]]"
-"32","2023-08-31","[[0.002733],[0.002613],[0.001001],[0.001161],[0.002293]]"
-"33","2023-09-01","[[0.002802],[0.002662],[0.001021],[0.001218],[0.002382]]"
-"34","2023-09-02","[[0.002873],[0.002712],[0.00104],[0.001278],[0.002474]]"
-"35","2023-09-03","[[0.002944],[0.002762],[0.00106],[0.00134],[0.002569]]"
-"36","2023-09-04","[[0.003016],[0.002813],[0.00108],[0.001404],[0.002667]]"
-"37","2023-09-05","[[0.003089],[0.002863],[0.0011],[0.001471],[0.002767]]"
-"38","2023-09-06","[[0.003163],[0.002913],[0.001121],[0.001541],[0.002871]]"
-"39","2023-09-07","[[0.003237],[0.002964],[0.001142],[0.001613],[0.002977]]"
-"40","2023-09-08","[[0.003312],[0.003014],[0.001163],[0.001688],[0.003086]]"
-"41","2023-09-09","[[0.003388],[0.003064],[0.001184],[0.001766],[0.003198]]"
-"42","2023-09-10","[[0.003464],[0.003114],[0.001205],[0.001847],[0.003313]]"
-"43","2023-09-11","[[0.003541],[0.003164],[0.001227],[0.00193],[0.00343]]"
-"44","2023-09-12","[[0.003618],[0.003214],[0.001248],[0.002016],[0.00355]]"
-"45","2023-09-13","[[0.003695],[0.003264],[0.00127],[0.002104],[0.003673]]"
-"46","2023-09-14","[[0.003772],[0.003313],[0.001292],[0.002196],[0.003798]]"
-"47","2023-09-15","[[0.00385],[0.003362],[0.001314],[0.002289],[0.003926]]"
-"48","2023-09-16","[[0.003928],[0.00341],[0.001337],[0.002386],[0.004056]]"
-"49","2023-09-17","[[0.004005],[0.003458],[0.001359],[0.002485],[0.004189]]"
-"50","2023-09-18","[[0.004083],[0.003505],[0.001381],[0.002586],[0.004324]]"
-"51","2023-09-19","[[0.00416],[0.003552],[0.001404],[0.00269],[0.00446]]"
-"52","2023-09-20","[[0.004237],[0.003598],[0.001427],[0.002796],[0.004599]]"
-"53","2023-09-21","[[0.004314],[0.003644],[0.00145],[0.002904],[0.004739]]"
-"54","2023-09-22","[[0.004389],[0.003689],[0.001473],[0.003014],[0.004881]]"
-"55","2023-09-23","[[0.004465],[0.003732],[0.001496],[0.003125],[0.005024]]"
-"56","2023-09-24","[[0.004539],[0.003775],[0.001519],[0.003238],[0.005168]]"
-"57","2023-09-25","[[0.004613],[0.003817],[0.001542],[0.003352],[0.005313]]"
-"58","2023-09-26","[[0.004685],[0.003858],[0.001565],[0.003467],[0.005458]]"
-"59","2023-09-27","[[0.004757],[0.003898],[0.001588],[0.003583],[0.005604]]"
-"60","2023-09-28","[[0.004827],[0.003937],[0.001611],[0.003699],[0.00575]]"
-"61","2023-09-29","[[0.004895],[0.003975],[0.001634],[0.003816],[0.005895]]"
-"62","2023-09-30","[[0.004962],[0.004011],[0.001657],[0.003931],[0.00604]]"
-"63","2023-10-01","[[0.005028],[0.004046],[0.001681],[0.004047],[0.006184]]"
-"64","2023-10-02","[[0.005092],[0.00408],[0.001703],[0.004161],[0.006327]]"
-"65","2023-10-03","[[0.005154],[0.004113],[0.001726],[0.004274],[0.006468]]"
-"66","2023-10-04","[[0.005214],[0.004144],[0.001749],[0.004385],[0.006608]]"
-"67","2023-10-05","[[0.005271],[0.004173],[0.001772],[0.004493],[0.006744]]"
-"68","2023-10-06","[[0.005327],[0.004201],[0.001794],[0.004599],[0.006879]]"
-"69","2023-10-07","[[0.00538],[0.004227],[0.001817],[0.004702],[0.00701]]"
-"70","2023-10-08","[[0.005431],[0.004252],[0.001839],[0.0048],[0.007137]]"
-"71","2023-10-09","[[0.005479],[0.004275],[0.001861],[0.004895],[0.007261]]"
-"72","2023-10-10","[[0.005524],[0.004296],[0.001883],[0.004986],[0.00738]]"
-"73","2023-10-11","[[0.005567],[0.004316],[0.001904],[0.005071],[0.007495]]"
-"74","2023-10-12","[[0.005607],[0.004334],[0.001926],[0.005151],[0.007604]]"
-"75","2023-10-13","[[0.005644],[0.00435],[0.001947],[0.005225],[0.007708]]"
-"76","2023-10-14","[[0.005677],[0.004364],[0.001967],[0.005293],[0.007806]]"
-"77","2023-10-15","[[0.005708],[0.004376],[0.001988],[0.005354],[0.007899]]"
-"78","2023-10-16","[[0.005735],[0.004386],[0.002008],[0.005408],[0.007984]]"
-"79","2023-10-17","[[0.00576],[0.004395],[0.002028],[0.005456],[0.008063]]"
-"80","2023-10-18","[[0.005781],[0.004402],[0.002047],[0.005495],[0.008135]]"
-"81","2023-10-19","[[0.005798],[0.004406],[0.002066],[0.005527],[0.008199]]"
-"82","2023-10-20","[[0.005812],[0.004409],[0.002085],[0.005551],[0.008256]]"
-"83","2023-10-21","[[0.005823],[0.00441],[0.002103],[0.005567],[0.008305]]"
-"84","2023-10-22","[[0.00583],[0.004409],[0.002121],[0.005575],[0.008346]]"
-"85","2023-10-23","[[0.005834],[0.004405],[0.002138],[0.005575],[0.008379]]"
-"86","2023-10-24","[[0.005834],[0.0044],[0.002155],[0.005567],[0.008403]]"
-"87","2023-10-25","[[0.005831],[0.004393],[0.002172],[0.00555],[0.008419]]"
-"88","2023-10-26","[[0.005824],[0.004385],[0.002187],[0.005525],[0.008427]]"
-"89","2023-10-27","[[0.005814],[0.004374],[0.002203],[0.005493],[0.008426]]"
-"90","2023-10-28","[[0.0058],[0.004361],[0.002217],[0.005453],[0.008416]]"
-"91","2023-10-29","[[0.005783],[0.004347],[0.002232],[0.005405],[0.008398]]"
-"92","2023-10-30","[[0.005763],[0.00433],[0.002245],[0.00535],[0.008372]]"
-"93","2023-10-31","[[0.005739],[0.004312],[0.002258],[0.005289],[0.008337]]"
-"94","2023-11-01","[[0.005712],[0.004292],[0.002271],[0.00522],[0.008294]]"
-"95","2023-11-02","[[0.005682],[0.00427],[0.002282],[0.005146],[0.008243]]"
-"96","2023-11-03","[[0.005648],[0.004247],[0.002293],[0.005066],[0.008185]]"
-"97","2023-11-04","[[0.005612],[0.004222],[0.002304],[0.00498],[0.008118]]"
-"98","2023-11-05","[[0.005573],[0.004195],[0.002314],[0.004889],[0.008045]]"
-"99","2023-11-06","[[0.00553],[0.004167],[0.002323],[0.004794],[0.007964]]"
-"100","2023-11-07","[[0.005485],[0.004137],[0.002331],[0.004695],[0.007877]]"
-"101","2023-11-08","[[0.005437],[0.004106],[0.002339],[0.004592],[0.007783]]"
-"102","2023-11-09","[[0.005387],[0.004074],[0.002346],[0.004486],[0.007684]]"
-"103","2023-11-10","[[0.005334],[0.004039],[0.002352],[0.004378],[0.007578]]"
-"104","2023-11-11","[[0.005279],[0.004004],[0.002357],[0.004267],[0.007467]]"
-"105","2023-11-12","[[0.005222],[0.003967],[0.002362],[0.004154],[0.007352]]"
-"106","2023-11-13","[[0.005162],[0.003929],[0.002366],[0.004039],[0.007231]]"
-"107","2023-11-14","[[0.0051],[0.00389],[0.00237],[0.003924],[0.007107]]"
-"108","2023-11-15","[[0.005037],[0.00385],[0.002372],[0.003808],[0.006978]]"
-"109","2023-11-16","[[0.004972],[0.003809],[0.002374],[0.003692],[0.006847]]"
-"110","2023-11-17","[[0.004905],[0.003767],[0.002375],[0.003576],[0.006712]]"
-"111","2023-11-18","[[0.004836],[0.003724],[0.002375],[0.00346],[0.006574]]"
-"112","2023-11-19","[[0.004766],[0.00368],[0.002375],[0.003345],[0.006435]]"
-"113","2023-11-20","[[0.004695],[0.003635],[0.002373],[0.003231],[0.006293]]"
-"114","2023-11-21","[[0.004623],[0.003589],[0.002371],[0.003118],[0.00615]]"
-"115","2023-11-22","[[0.004549],[0.003543],[0.002369],[0.003007],[0.006006]]"
-"116","2023-11-23","[[0.004475],[0.003496],[0.002365],[0.002897],[0.00586]]"
-"117","2023-11-24","[[0.0044],[0.003448],[0.002361],[0.002789],[0.005715]]"
-"118","2023-11-25","[[0.004324],[0.0034],[0.002356],[0.002683],[0.005569]]"
-"119","2023-11-26","[[0.004248],[0.003352],[0.00235],[0.00258],[0.005423]]"
-"120","2023-11-27","[[0.004171],[0.003303],[0.002343],[0.002479],[0.005278]]"
-"121","2023-11-28","[[0.004093],[0.003254],[0.002336],[0.00238],[0.005133]]"
-"122","2023-11-29","[[0.004016],[0.003204],[0.002328],[0.002283],[0.004989]]"
-"123","2023-11-30","[[0.003938],[0.003154],[0.00232],[0.00219],[0.004846]]"
-"124","2023-12-01","[[0.003861],[0.003104],[0.00231],[0.002099],[0.004705]]"
-"125","2023-12-02","[[0.003783],[0.003054],[0.0023],[0.00201],[0.004565]]"
-"126","2023-12-03","[[0.003705],[0.003004],[0.00229],[0.001924],[0.004427]]"
-"127","2023-12-04","[[0.003628],[0.002953],[0.002278],[0.001841],[0.004291]]"
-"128","2023-12-05","[[0.003551],[0.002903],[0.002266],[0.001761],[0.004157]]"
-"129","2023-12-06","[[0.003474],[0.002853],[0.002254],[0.001684],[0.004025]]"
-"130","2023-12-07","[[0.003398],[0.002802],[0.002241],[0.001609],[0.003895]]"
-"131","2023-12-08","[[0.003322],[0.002752],[0.002227],[0.001537],[0.003768]]"
-"132","2023-12-09","[[0.003247],[0.002702],[0.002213],[0.001467],[0.003643]]"
-"133","2023-12-10","[[0.003173],[0.002652],[0.002198],[0.0014],[0.003521]]"
-"134","2023-12-11","[[0.003099],[0.002603],[0.002182],[0.001336],[0.003402]]"
-"135","2023-12-12","[[0.003026],[0.002554],[0.002166],[0.001274],[0.003285]]"
-"136","2023-12-13","[[0.002954],[0.002505],[0.00215],[0.001215],[0.003171]]"
-"137","2023-12-14","[[0.002882],[0.002456],[0.002133],[0.001158],[0.00306]]"
-"138","2023-12-15","[[0.002812],[0.002408],[0.002115],[0.001103],[0.002951]]"
-"139","2023-12-16","[[0.002742],[0.00236],[0.002097],[0.00105],[0.002846]]"
-"140","2023-12-17","[[0.002674],[0.002312],[0.002079],[0.001],[0.002743]]"
-"141","2023-12-18","[[0.002606],[0.002265],[0.00206],[0.000952],[0.002643]]"
-"142","2023-12-19","[[0.00254],[0.002218],[0.002041],[0.000906],[0.002546]]"
-"143","2023-12-20","[[0.002474],[0.002172],[0.002021],[0.000862],[0.002452]]"
-"144","2023-12-21","[[0.00241],[0.002126],[0.002001],[0.00082],[0.00236]]"
-"145","2023-12-22","[[0.002346],[0.002081],[0.001981],[0.00078],[0.002271]]"
-"146","2023-12-23","[[0.002284],[0.002037],[0.001961],[0.000742],[0.002186]]"
-"147","2023-12-24","[[0.002223],[0.001993],[0.00194],[0.000705],[0.002102]]"
-"148","2023-12-25","[[0.002163],[0.001949],[0.001918],[0.000671],[0.002022]]"
-"149","2023-12-26","[[0.002104],[0.001906],[0.001897],[0.000637],[0.001944]]"
-"150","2023-12-27","[[0.002047],[0.001864],[0.001875],[0.000606],[0.001868]]"
-"151","2023-12-28","[[0.00199],[0.001822],[0.001854],[0.000575],[0.001795]]"
-"152","2023-12-29","[[0.001935],[0.001781],[0.001831],[0.000546],[0.001725]]"
-"153","2023-12-30","[[0.001881],[0.00174],[0.001809],[0.000519],[0.001657]]"
-"154","2023-12-31","[[0.001828],[0.001701],[0.001787],[0.000493],[0.001591]]"
-"155","2024-01-01","[[0.001776],[0.001661],[0.001764],[0.000468],[0.001528]]"
-"156","2024-01-02","[[0.001725],[0.001623],[0.001741],[0.000444],[0.001467]]"
-"157","2024-01-03","[[0.001676],[0.001585],[0.001719],[0.000422],[0.001408]]"
-"158","2024-01-04","[[0.001627],[0.001547],[0.001696],[0.0004],[0.001351]]"
-"159","2024-01-05","[[0.00158],[0.001511],[0.001673],[0.00038],[0.001297]]"
-"160","2024-01-06","[[0.001534],[0.001475],[0.00165],[0.000361],[0.001244]]"
-"161","2024-01-07","[[0.001489],[0.001439],[0.001627],[0.000342],[0.001193]]"
-"162","2024-01-08","[[0.001445],[0.001405],[0.001603],[0.000325],[0.001145]]"
-"163","2024-01-09","[[0.001402],[0.00137],[0.00158],[0.000308],[0.001098]]"
-"164","2024-01-10","[[0.00136],[0.001337],[0.001557],[0.000292],[0.001053]]"
-"165","2024-01-11","[[0.00132],[0.001304],[0.001534],[0.000277],[0.001009]]"
-"166","2024-01-12","[[0.00128],[0.001272],[0.001511],[0.000263],[0.000967]]"
-"167","2024-01-13","[[0.001241],[0.001241],[0.001488],[0.000249],[0.000927]]"
-"168","2024-01-14","[[0.001204],[0.00121],[0.001465],[0.000237],[0.000889]]"
-"169","2024-01-15","[[0.001167],[0.001179],[0.001442],[0.000224],[0.000852]]"
-"170","2024-01-16","[[0.001132],[0.00115],[0.001419],[0.000213],[0.000816]]"
-"171","2024-01-17","[[0.001097],[0.001121],[0.001396],[0.000202],[0.000782]]"
-"172","2024-01-18","[[0.001063],[0.001092],[0.001374],[0.000191],[0.000749]]"
-"173","2024-01-19","[[0.00103],[0.001064],[0.001351],[0.000181],[0.000717]]"
-"174","2024-01-20","[[0.000998],[0.001037],[0.001329],[0.000172],[0.000687]]"
-"175","2024-01-21","[[0.000967],[0.001011],[0.001307],[0.000163],[0.000658]]"
-"176","2024-01-22","[[0.000937],[0.000985],[0.001285],[0.000155],[0.00063]]"
-"177","2024-01-23","[[0.000908],[0.000959],[0.001263],[0.000146],[0.000604]]"
-"178","2024-01-24","[[0.00088],[0.000934],[0.001241],[0.000139],[0.000578]]"
-"179","2024-01-25","[[0.000852],[0.00091],[0.001219],[0.000132],[0.000553]]"
-"180","2024-01-26","[[0.000825],[0.000886],[0.001198],[0.000125],[0.00053]]"
-"181","2024-01-27","[[0.000799],[0.000863],[0.001177],[0.000118],[0.000507]]"
-"182","2024-01-28","[[0.000774],[0.00084],[0.001156],[0.000112],[0.000486]]"
-"183","2024-01-29","[[0.000749],[0.000818],[0.001135],[0.000106],[0.000465]]"
-"184","2024-01-30","[[0.000725],[0.000796],[0.001114],[0.000101],[0.000445]]"
-"185","2024-01-31","[[0.000702],[0.000775],[0.001094],[0.000095],[0.000426]]"
-"186","2024-02-01","[[0.00068],[0.000755],[0.001073],[0.00009],[0.000408]]"
-"187","2024-02-02","[[0.000658],[0.000734],[0.001053],[0.000086],[0.00039]]"
-"188","2024-02-03","[[0.000637],[0.000715],[0.001034],[0.000081],[0.000373]]"
-"189","2024-02-04","[[0.000616],[0.000696],[0.001014],[0.000077],[0.000357]]"
-"190","2024-02-05","[[0.000596],[0.000677],[0.000995],[0.000073],[0.000342]]"
-"191","2024-02-06","[[0.000577],[0.000659],[0.000976],[0.000069],[0.000327]]"
-"192","2024-02-07","[[0.000559],[0.000641],[0.000957],[0.000065],[0.000313]]"
-"193","2024-02-08","[[0.00054],[0.000623],[0.000938],[0.000062],[0.0003]]"
-"194","2024-02-09","[[0.000523],[0.000606],[0.00092],[0.000059],[0.000287]]"
-"195","2024-02-10","[[0.000506],[0.00059],[0.000902],[0.000056],[0.000274]]"
-"196","2024-02-11","[[0.000489],[0.000574],[0.000884],[0.000053],[0.000262]]"
-"197","2024-02-12","[[0.000473],[0.000558],[0.000866],[0.00005],[0.000251]]"
-"198","2024-02-13","[[0.000458],[0.000543],[0.000849],[0.000047],[0.00024]]"
-"199","2024-02-14","[[0.000443],[0.000528],[0.000832],[0.000045],[0.00023]]"
-"200","2024-02-15","[[0.000429],[0.000513],[0.000815],[0.000043],[0.00022]]"
-"201","2024-02-16","[[0.000414],[0.000499],[0.000798],[0.00004],[0.00021]]"
-"202","2024-02-17","[[0.000401],[0.000486],[0.000782],[0.000038],[0.000201]]"
-"203","2024-02-18","[[0.000388],[0.000472],[0.000766],[0.000036],[0.000192]]"
-"204","2024-02-19","[[0.000375],[0.000459],[0.00075],[0.000034],[0.000184]]"
-"205","2024-02-20","[[0.000363],[0.000446],[0.000735],[0.000032],[0.000176]]"
-"206","2024-02-21","[[0.000351],[0.000434],[0.000719],[0.000031],[0.000168]]"
-"207","2024-02-22","[[0.000339],[0.000422],[0.000704],[0.000029],[0.000161]]"
-"208","2024-02-23","[[0.000328],[0.00041],[0.000689],[0.000028],[0.000154]]"
-"209","2024-02-24","[[0.000317],[0.000399],[0.000675],[0.000026],[0.000147]]"
-"210","2024-02-25","[[0.000307],[0.000388],[0.00066],[0.000025],[0.000141]]"
-"211","2024-02-26","[[0.000296],[0.000377],[0.000646],[0.000023],[0.000135]]"
-"212","2024-02-27","[[0.000287],[0.000366],[0.000633],[0.000022],[0.000129]]"
-"213","2024-02-28","[[0.000277],[0.000356],[0.000619],[0.000021],[0.000123]]"
-"214","2024-02-29","[[0.000268],[0.000346],[0.000606],[0.00002],[0.000118]]"
-"215","2024-03-01","[[0.000259],[0.000336],[0.000593],[0.000019],[0.000113]]"
-"216","2024-03-02","[[0.00025],[0.000327],[0.00058],[0.000018],[0.000108]]"
-"217","2024-03-03","[[0.000242],[0.000318],[0.000567],[0.000017],[0.000103]]"
-"218","2024-03-04","[[0.000234],[0.000309],[0.000555],[0.000016],[0.000098]]"
-"219","2024-03-05","[[0.000226],[0.0003],[0.000542],[0.000015],[0.000094]]"
-"220","2024-03-06","[[0.000219],[0.000291],[0.00053],[0.000014],[0.00009]]"
-"221","2024-03-07","[[0.000211],[0.000283],[0.000519],[0.000014],[0.000086]]"
-"222","2024-03-08","[[0.000204],[0.000275],[0.000507],[0.000013],[0.000082]]"
-"223","2024-03-09","[[0.000197],[0.000267],[0.000496],[0.000012],[0.000079]]"
-"224","2024-03-10","[[0.000191],[0.00026],[0.000485],[0.000012],[0.000075]]"
-"225","2024-03-11","[[0.000184],[0.000252],[0.000474],[0.000011],[0.000072]]"
-"226","2024-03-12","[[0.000178],[0.000245],[0.000463],[0.00001],[0.000069]]"
-"227","2024-03-13","[[0.000172],[0.000238],[0.000453],[0.00001],[0.000066]]"
-"228","2024-03-14","[[0.000166],[0.000231],[0.000443],[0.000009],[0.000063]]"
-"229","2024-03-15","[[0.000161],[0.000225],[0.000433],[0.000009],[0.00006]]"
-"230","2024-03-16","[[0.000155],[0.000218],[0.000423],[0.000008],[0.000058]]"
-"231","2024-03-17","[[0.00015],[0.000212],[0.000413],[0.000008],[0.000055]]"
-"232","2024-03-18","[[0.000145],[0.000206],[0.000404],[0.000008],[0.000053]]"
-"233","2024-03-19","[[0.00014],[0.0002],[0.000395],[0.000007],[0.00005]]"
-"234","2024-03-20","[[0.000136],[0.000195],[0.000386],[0.000007],[0.000048]]"
-"235","2024-03-21","[[0.000131],[0.000189],[0.000377],[0.000006],[0.000046]]"
-"236","2024-03-22","[[0.000127],[0.000184],[0.000368],[0.000006],[0.000044]]"
-"237","2024-03-23","[[0.000122],[0.000178],[0.00036],[0.000006],[0.000042]]"
-"238","2024-03-24","[[0.000118],[0.000173],[0.000351],[0.000005],[0.00004]]"
-"239","2024-03-25","[[0.000114],[0.000168],[0.000343],[0.000005],[0.000038]]"
-"240","2024-03-26","[[0.00011],[0.000163],[0.000335],[0.000005],[0.000037]]"
-"241","2024-03-27","[[0.000107],[0.000159],[0.000328],[0.000005],[0.000035]]"
-"242","2024-03-28","[[0.000103],[0.000154],[0.00032],[0.000004],[0.000034]]"
-"243","2024-03-29","[[0.0001],[0.00015],[0.000313],[0.000004],[0.000032]]"
-"244","2024-03-30","[[0.000096],[0.000145],[0.000305],[0.000004],[0.000031]]"
-"245","2024-03-31","[[0.000093],[0.000141],[0.000298],[0.000004],[0.000029]]"
-"246","2024-04-01","[[0.00009],[0.000137],[0.000291],[0.000004],[0.000028]]"
-"247","2024-04-02","[[0.000087],[0.000133],[0.000284],[0.000003],[0.000027]]"
-"248","2024-04-03","[[0.000084],[0.000129],[0.000278],[0.000003],[0.000026]]"
-"249","2024-04-04","[[0.000081],[0.000126],[0.000271],[0.000003],[0.000025]]"
-"250","2024-04-05","[[0.000078],[0.000122],[0.000265],[0.000003],[0.000023]]"
-"251","2024-04-06","[[0.000076],[0.000118],[0.000258],[0.000003],[0.000022]]"
-"252","2024-04-07","[[0.000073],[0.000115],[0.000252],[0.000003],[0.000021]]"
-"253","2024-04-08","[[0.000071],[0.000112],[0.000246],[0.000002],[0.00002]]"
-"254","2024-04-09","[[0.000068],[0.000109],[0.000241],[0.000002],[0.00002]]"
-"255","2024-04-10","[[0.000066],[0.000105],[0.000235],[0.000002],[0.000019]]"
-"256","2024-04-11","[[0.000064],[0.000102],[0.000229],[0.000002],[0.000018]]"
-"257","2024-04-12","[[0.000062],[0.000099],[0.000224],[0.000002],[0.000017]]"
-"258","2024-04-13","[[0.000059],[0.000097],[0.000218],[0.000002],[0.000016]]"
-"259","2024-04-14","[[0.000057],[0.000094],[0.000213],[0.000002],[0.000016]]"
-"260","2024-04-15","[[0.000056],[0.000091],[0.000208],[0.000002],[0.000015]]"
-"261","2024-04-16","[[0.000054],[0.000088],[0.000203],[0.000002],[0.000014]]"
-"262","2024-04-17","[[0.000052],[0.000086],[0.000198],[0.000001],[0.000014]]"
-"263","2024-04-18","[[0.00005],[0.000083],[0.000194],[0.000001],[0.000013]]"
-"264","2024-04-19","[[0.000048],[0.000081],[0.000189],[0.000001],[0.000013]]"
-"265","2024-04-20","[[0.000047],[0.000079],[0.000184],[0.000001],[0.000012]]"
-"266","2024-04-21","[[0.000045],[0.000076],[0.00018],[0.000001],[0.000011]]"
-"267","2024-04-22","[[0.000044],[0.000074],[0.000176],[0.000001],[0.000011]]"
-"268","2024-04-23","[[0.000042],[0.000072],[0.000171],[0.000001],[0.00001]]"
-"269","2024-04-24","[[0.000041],[0.00007],[0.000167],[0.000001],[0.00001]]"
-"270","2024-04-25","[[0.000039],[0.000068],[0.000163],[0.000001],[0.00001]]"
-"271","2024-04-26","[[0.000038],[0.000066],[0.000159],[0.000001],[0.000009]]"
-"272","2024-04-27","[[0.000037],[0.000064],[0.000155],[0.000001],[0.000009]]"
-"273","2024-04-28","[[0.000035],[0.000062],[0.000152],[0.000001],[0.000008]]"
-"274","2024-04-29","[[0.000034],[0.00006],[0.000148],[0.000001],[0.000008]]"
-"275","2024-04-30","[[0.000033],[0.000059],[0.000144],[0.000001],[0.000008]]"
-"276","2024-05-01","[[0.000032],[0.000057],[0.000141],[0.000001],[0.000007]]"
-"277","2024-05-02","[[0.000031],[0.000055],[0.000138],[0.000001],[0.000007]]"
-"278","2024-05-03","[[0.00003],[0.000054],[0.000134],[0.000001],[0.000007]]"
-"279","2024-05-04","[[0.000029],[0.000052],[0.000131],[0.000001],[0.000006]]"
-"280","2024-05-05","[[0.000028],[0.00005],[0.000128],[0.000001],[0.000006]]"
-"281","2024-05-06","[[0.000027],[0.000049],[0.000125],[0.000001],[0.000006]]"
-"282","2024-05-07","[[0.000026],[0.000048],[0.000122],[0.000001],[0.000006]]"
-"283","2024-05-08","[[0.000025],[0.000046],[0.000119],[0],[0.000005]]"
-"284","2024-05-09","[[0.000024],[0.000045],[0.000116],[0],[0.000005]]"
-"285","2024-05-10","[[0.000023],[0.000044],[0.000113],[0],[0.000005]]"
-"286","2024-05-11","[[0.000023],[0.000042],[0.00011],[0],[0.000005]]"
-"287","2024-05-12","[[0.000022],[0.000041],[0.000107],[0],[0.000004]]"
-"288","2024-05-13","[[0.000021],[0.00004],[0.000105],[0],[0.000004]]"
-"289","2024-05-14","[[0.00002],[0.000039],[0.000102],[0],[0.000004]]"
-"290","2024-05-15","[[0.00002],[0.000038],[0.0001],[0],[0.000004]]"
-"291","2024-05-16","[[0.000019],[0.000036],[0.000097],[0],[0.000004]]"
-"292","2024-05-17","[[0.000018],[0.000035],[0.000095],[0],[0.000004]]"
-"293","2024-05-18","[[0.000018],[0.000034],[0.000093],[0],[0.000003]]"
-"294","2024-05-19","[[0.000017],[0.000033],[0.00009],[0],[0.000003]]"
-"295","2024-05-20","[[0.000017],[0.000032],[0.000088],[0],[0.000003]]"
-"296","2024-05-21","[[0.000016],[0.000031],[0.000086],[0],[0.000003]]"
-"297","2024-05-22","[[0.000015],[0.000031],[0.000084],[0],[0.000003]]"
-"298","2024-05-23","[[0.000015],[0.00003],[0.000082],[0],[0.000003]]"
-"299","2024-05-24","[[0.000014],[0.000029],[0.00008],[0],[0.000003]]"
-"300","2024-05-25","[[0.000014],[0.000028],[0.000078],[0],[0.000002]]"
-"301","2024-05-26","[[0.000013],[0.000027],[0.000076],[0],[0.000002]]"
-"302","2024-05-27","[[0.000013],[0.000026],[0.000074],[0],[0.000002]]"
-"303","2024-05-28","[[0.000013],[0.000026],[0.000072],[0],[0.000002]]"
-"304","2024-05-29","[[0.000012],[0.000025],[0.00007],[0],[0.000002]]"
-"305","2024-05-30","[[0.000012],[0.000024],[0.000069],[0],[0.000002]]"
-"306","2024-05-31","[[0.000011],[0.000023],[0.000067],[0],[0.000002]]"
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+"2","2023-08-01","[[0.001162, 0.001162],[0.001344, 0.001344],[0.000534, 0.000534],[0.00025, 0.00025],[0.000665, 0.000665]]"
+"3","2023-08-02","[[0.001199, 0.001199],[0.001377, 0.001377],[0.000547, 0.000547],[0.000264, 0.000264],[0.000694, 0.000694]]"
+"4","2023-08-03","[[0.001236, 0.001236],[0.001412, 0.001412],[0.000559, 0.000559],[0.000278, 0.000278],[0.000725, 0.000725]]"
+"5","2023-08-04","[[0.001275, 0.001275],[0.001446, 0.001446],[0.000571, 0.000571],[0.000293, 0.000293],[0.000757, 0.000757]]"
+"6","2023-08-05","[[0.001314, 0.001314],[0.001482, 0.001482],[0.000584, 0.000584],[0.000309, 0.000309],[0.00079, 0.00079]]"
+"7","2023-08-06","[[0.001355, 0.001355],[0.001518, 0.001518],[0.000597, 0.000597],[0.000326, 0.000326],[0.000824, 0.000824]]"
+"8","2023-08-07","[[0.001396, 0.001396],[0.001555, 0.001555],[0.00061, 0.00061],[0.000343, 0.000343],[0.00086, 0.00086]]"
+"9","2023-08-08","[[0.001439, 0.001439],[0.001592, 0.001592],[0.000624, 0.000624],[0.000362, 0.000362],[0.000898, 0.000898]]"
+"10","2023-08-09","[[0.001483, 0.001483],[0.00163, 0.00163],[0.000637, 0.000637],[0.000381, 0.000381],[0.000937, 0.000937]]"
+"11","2023-08-10","[[0.001528, 0.001528],[0.001669, 0.001669],[0.000651, 0.000651],[0.000402, 0.000402],[0.000977, 0.000977]]"
+"12","2023-08-11","[[0.001574, 0.001574],[0.001709, 0.001709],[0.000665, 0.000665],[0.000423, 0.000423],[0.001019, 0.001019]]"
+"13","2023-08-12","[[0.001621, 0.001621],[0.001749, 0.001749],[0.00068, 0.00068],[0.000446, 0.000446],[0.001063, 0.001063]]"
+"14","2023-08-13","[[0.001669, 0.001669],[0.001789, 0.001789],[0.000694, 0.000694],[0.00047, 0.00047],[0.001109, 0.001109]]"
+"15","2023-08-14","[[0.001718, 0.001718],[0.00183, 0.00183],[0.000709, 0.000709],[0.000495, 0.000495],[0.001156, 0.001156]]"
+"16","2023-08-15","[[0.001769, 0.001769],[0.001872, 0.001872],[0.000724, 0.000724],[0.000521, 0.000521],[0.001205, 0.001205]]"
+"17","2023-08-16","[[0.00182, 0.00182],[0.001915, 0.001915],[0.00074, 0.00074],[0.000548, 0.000548],[0.001257, 0.001257]]"
+"18","2023-08-17","[[0.001873, 0.001873],[0.001958, 0.001958],[0.000755, 0.000755],[0.000577, 0.000577],[0.00131, 0.00131]]"
+"19","2023-08-18","[[0.001927, 0.001927],[0.002001, 0.002001],[0.000771, 0.000771],[0.000607, 0.000607],[0.001365, 0.001365]]"
+"20","2023-08-19","[[0.001982, 0.001982],[0.002046, 0.002046],[0.000788, 0.000788],[0.000639, 0.000639],[0.001422, 0.001422]]"
+"21","2023-08-20","[[0.002039, 0.002039],[0.00209, 0.00209],[0.000804, 0.000804],[0.000673, 0.000673],[0.001481, 0.001481]]"
+"22","2023-08-21","[[0.002096, 0.002096],[0.002136, 0.002136],[0.000821, 0.000821],[0.000708, 0.000708],[0.001543, 0.001543]]"
+"23","2023-08-22","[[0.002155, 0.002155],[0.002181, 0.002181],[0.000838, 0.000838],[0.000744, 0.000744],[0.001607, 0.001607]]"
+"24","2023-08-23","[[0.002215, 0.002215],[0.002228, 0.002228],[0.000855, 0.000855],[0.000783, 0.000783],[0.001673, 0.001673]]"
+"25","2023-08-24","[[0.002276, 0.002276],[0.002274, 0.002274],[0.000872, 0.000872],[0.000823, 0.000823],[0.001742, 0.001742]]"
+"26","2023-08-25","[[0.002338, 0.002338],[0.002322, 0.002322],[0.00089, 0.00089],[0.000865, 0.000865],[0.001813, 0.001813]]"
+"27","2023-08-26","[[0.002401, 0.002401],[0.002369, 0.002369],[0.000908, 0.000908],[0.000909, 0.000909],[0.001886, 0.001886]]"
+"28","2023-08-27","[[0.002465, 0.002465],[0.002417, 0.002417],[0.000926, 0.000926],[0.000955, 0.000955],[0.001962, 0.001962]]"
+"29","2023-08-28","[[0.002531, 0.002531],[0.002466, 0.002466],[0.000944, 0.000944],[0.001003, 0.001003],[0.002041, 0.002041]]"
+"30","2023-08-29","[[0.002597, 0.002597],[0.002514, 0.002514],[0.000963, 0.000963],[0.001054, 0.001054],[0.002122, 0.002122]]"
+"31","2023-08-30","[[0.002664, 0.002664],[0.002563, 0.002563],[0.000982, 0.000982],[0.001106, 0.001106],[0.002206, 0.002206]]"
+"32","2023-08-31","[[0.002733, 0.002733],[0.002613, 0.002613],[0.001001, 0.001001],[0.001161, 0.001161],[0.002293, 0.002293]]"
+"33","2023-09-01","[[0.002802, 0.002802],[0.002662, 0.002662],[0.001021, 0.001021],[0.001218, 0.001218],[0.002382, 0.002382]]"
+"34","2023-09-02","[[0.002873, 0.002873],[0.002712, 0.002712],[0.00104, 0.00104],[0.001278, 0.001278],[0.002474, 0.002474]]"
+"35","2023-09-03","[[0.002944, 0.002944],[0.002762, 0.002762],[0.00106, 0.00106],[0.00134, 0.00134],[0.002569, 0.002569]]"
+"36","2023-09-04","[[0.003016, 0.003016],[0.002813, 0.002813],[0.00108, 0.00108],[0.001404, 0.001404],[0.002667, 0.002667]]"
+"37","2023-09-05","[[0.003089, 0.003089],[0.002863, 0.002863],[0.0011, 0.0011],[0.001471, 0.001471],[0.002767, 0.002767]]"
+"38","2023-09-06","[[0.003163, 0.003163],[0.002913, 0.002913],[0.001121, 0.001121],[0.001541, 0.001541],[0.002871, 0.002871]]"
+"39","2023-09-07","[[0.003237, 0.003237],[0.002964, 0.002964],[0.001142, 0.001142],[0.001613, 0.001613],[0.002977, 0.002977]]"
+"40","2023-09-08","[[0.003312, 0.003312],[0.003014, 0.003014],[0.001163, 0.001163],[0.001688, 0.001688],[0.003086, 0.003086]]"
+"41","2023-09-09","[[0.003388, 0.003388],[0.003064, 0.003064],[0.001184, 0.001184],[0.001766, 0.001766],[0.003198, 0.003198]]"
+"42","2023-09-10","[[0.003464, 0.003464],[0.003114, 0.003114],[0.001205, 0.001205],[0.001847, 0.001847],[0.003313, 0.003313]]"
+"43","2023-09-11","[[0.003541, 0.003541],[0.003164, 0.003164],[0.001227, 0.001227],[0.00193, 0.00193],[0.00343, 0.00343]]"
+"44","2023-09-12","[[0.003618, 0.003618],[0.003214, 0.003214],[0.001248, 0.001248],[0.002016, 0.002016],[0.00355, 0.00355]]"
+"45","2023-09-13","[[0.003695, 0.003695],[0.003264, 0.003264],[0.00127, 0.00127],[0.002104, 0.002104],[0.003673, 0.003673]]"
+"46","2023-09-14","[[0.003772, 0.003772],[0.003313, 0.003313],[0.001292, 0.001292],[0.002196, 0.002196],[0.003798, 0.003798]]"
+"47","2023-09-15","[[0.00385, 0.00385],[0.003362, 0.003362],[0.001314, 0.001314],[0.002289, 0.002289],[0.003926, 0.003926]]"
+"48","2023-09-16","[[0.003928, 0.003928],[0.00341, 0.00341],[0.001337, 0.001337],[0.002386, 0.002386],[0.004056, 0.004056]]"
+"49","2023-09-17","[[0.004005, 0.004005],[0.003458, 0.003458],[0.001359, 0.001359],[0.002485, 0.002485],[0.004189, 0.004189]]"
+"50","2023-09-18","[[0.004083, 0.004083],[0.003505, 0.003505],[0.001381, 0.001381],[0.002586, 0.002586],[0.004324, 0.004324]]"
+"51","2023-09-19","[[0.00416, 0.00416],[0.003552, 0.003552],[0.001404, 0.001404],[0.00269, 0.00269],[0.00446, 0.00446]]"
+"52","2023-09-20","[[0.004237, 0.004237],[0.003598, 0.003598],[0.001427, 0.001427],[0.002796, 0.002796],[0.004599, 0.004599]]"
+"53","2023-09-21","[[0.004314, 0.004314],[0.003644, 0.003644],[0.00145, 0.00145],[0.002904, 0.002904],[0.004739, 0.004739]]"
+"54","2023-09-22","[[0.004389, 0.004389],[0.003689, 0.003689],[0.001473, 0.001473],[0.003014, 0.003014],[0.004881, 0.004881]]"
+"55","2023-09-23","[[0.004465, 0.004465],[0.003732, 0.003732],[0.001496, 0.001496],[0.003125, 0.003125],[0.005024, 0.005024]]"
+"56","2023-09-24","[[0.004539, 0.004539],[0.003775, 0.003775],[0.001519, 0.001519],[0.003238, 0.003238],[0.005168, 0.005168]]"
+"57","2023-09-25","[[0.004613, 0.004613],[0.003817, 0.003817],[0.001542, 0.001542],[0.003352, 0.003352],[0.005313, 0.005313]]"
+"58","2023-09-26","[[0.004685, 0.004685],[0.003858, 0.003858],[0.001565, 0.001565],[0.003467, 0.003467],[0.005458, 0.005458]]"
+"59","2023-09-27","[[0.004757, 0.004757],[0.003898, 0.003898],[0.001588, 0.001588],[0.003583, 0.003583],[0.005604, 0.005604]]"
+"60","2023-09-28","[[0.004827, 0.004827],[0.003937, 0.003937],[0.001611, 0.001611],[0.003699, 0.003699],[0.00575, 0.00575]]"
+"61","2023-09-29","[[0.004895, 0.004895],[0.003975, 0.003975],[0.001634, 0.001634],[0.003816, 0.003816],[0.005895, 0.005895]]"
+"62","2023-09-30","[[0.004962, 0.004962],[0.004011, 0.004011],[0.001657, 0.001657],[0.003931, 0.003931],[0.00604, 0.00604]]"
+"63","2023-10-01","[[0.005028, 0.005028],[0.004046, 0.004046],[0.001681, 0.001681],[0.004047, 0.004047],[0.006184, 0.006184]]"
+"64","2023-10-02","[[0.005092, 0.005092],[0.00408, 0.00408],[0.001703, 0.001703],[0.004161, 0.004161],[0.006327, 0.006327]]"
+"65","2023-10-03","[[0.005154, 0.005154],[0.004113, 0.004113],[0.001726, 0.001726],[0.004274, 0.004274],[0.006468, 0.006468]]"
+"66","2023-10-04","[[0.005214, 0.005214],[0.004144, 0.004144],[0.001749, 0.001749],[0.004385, 0.004385],[0.006608, 0.006608]]"
+"67","2023-10-05","[[0.005271, 0.005271],[0.004173, 0.004173],[0.001772, 0.001772],[0.004493, 0.004493],[0.006744, 0.006744]]"
+"68","2023-10-06","[[0.005327, 0.005327],[0.004201, 0.004201],[0.001794, 0.001794],[0.004599, 0.004599],[0.006879, 0.006879]]"
+"69","2023-10-07","[[0.00538, 0.00538],[0.004227, 0.004227],[0.001817, 0.001817],[0.004702, 0.004702],[0.00701, 0.00701]]"
+"70","2023-10-08","[[0.005431, 0.005431],[0.004252, 0.004252],[0.001839, 0.001839],[0.0048, 0.0048],[0.007137, 0.007137]]"
+"71","2023-10-09","[[0.005479, 0.005479],[0.004275, 0.004275],[0.001861, 0.001861],[0.004895, 0.004895],[0.007261, 0.007261]]"
+"72","2023-10-10","[[0.005524, 0.005524],[0.004296, 0.004296],[0.001883, 0.001883],[0.004986, 0.004986],[0.00738, 0.00738]]"
+"73","2023-10-11","[[0.005567, 0.005567],[0.004316, 0.004316],[0.001904, 0.001904],[0.005071, 0.005071],[0.007495, 0.007495]]"
+"74","2023-10-12","[[0.005607, 0.005607],[0.004334, 0.004334],[0.001926, 0.001926],[0.005151, 0.005151],[0.007604, 0.007604]]"
+"75","2023-10-13","[[0.005644, 0.005644],[0.00435, 0.00435],[0.001947, 0.001947],[0.005225, 0.005225],[0.007708, 0.007708]]"
+"76","2023-10-14","[[0.005677, 0.005677],[0.004364, 0.004364],[0.001967, 0.001967],[0.005293, 0.005293],[0.007806, 0.007806]]"
+"77","2023-10-15","[[0.005708, 0.005708],[0.004376, 0.004376],[0.001988, 0.001988],[0.005354, 0.005354],[0.007899, 0.007899]]"
+"78","2023-10-16","[[0.005735, 0.005735],[0.004386, 0.004386],[0.002008, 0.002008],[0.005408, 0.005408],[0.007984, 0.007984]]"
+"79","2023-10-17","[[0.00576, 0.00576],[0.004395, 0.004395],[0.002028, 0.002028],[0.005456, 0.005456],[0.008063, 0.008063]]"
+"80","2023-10-18","[[0.005781, 0.005781],[0.004402, 0.004402],[0.002047, 0.002047],[0.005495, 0.005495],[0.008135, 0.008135]]"
+"81","2023-10-19","[[0.005798, 0.005798],[0.004406, 0.004406],[0.002066, 0.002066],[0.005527, 0.005527],[0.008199, 0.008199]]"
+"82","2023-10-20","[[0.005812, 0.005812],[0.004409, 0.004409],[0.002085, 0.002085],[0.005551, 0.005551],[0.008256, 0.008256]]"
+"83","2023-10-21","[[0.005823, 0.005823],[0.00441, 0.00441],[0.002103, 0.002103],[0.005567, 0.005567],[0.008305, 0.008305]]"
+"84","2023-10-22","[[0.00583, 0.00583],[0.004409, 0.004409],[0.002121, 0.002121],[0.005575, 0.005575],[0.008346, 0.008346]]"
+"85","2023-10-23","[[0.005834, 0.005834],[0.004405, 0.004405],[0.002138, 0.002138],[0.005575, 0.005575],[0.008379, 0.008379]]"
+"86","2023-10-24","[[0.005834, 0.005834],[0.0044, 0.0044],[0.002155, 0.002155],[0.005567, 0.005567],[0.008403, 0.008403]]"
+"87","2023-10-25","[[0.005831, 0.005831],[0.004393, 0.004393],[0.002172, 0.002172],[0.00555, 0.00555],[0.008419, 0.008419]]"
+"88","2023-10-26","[[0.005824, 0.005824],[0.004385, 0.004385],[0.002187, 0.002187],[0.005525, 0.005525],[0.008427, 0.008427]]"
+"89","2023-10-27","[[0.005814, 0.005814],[0.004374, 0.004374],[0.002203, 0.002203],[0.005493, 0.005493],[0.008426, 0.008426]]"
+"90","2023-10-28","[[0.0058, 0.0058],[0.004361, 0.004361],[0.002217, 0.002217],[0.005453, 0.005453],[0.008416, 0.008416]]"
+"91","2023-10-29","[[0.005783, 0.005783],[0.004347, 0.004347],[0.002232, 0.002232],[0.005405, 0.005405],[0.008398, 0.008398]]"
+"92","2023-10-30","[[0.005763, 0.005763],[0.00433, 0.00433],[0.002245, 0.002245],[0.00535, 0.00535],[0.008372, 0.008372]]"
+"93","2023-10-31","[[0.005739, 0.005739],[0.004312, 0.004312],[0.002258, 0.002258],[0.005289, 0.005289],[0.008337, 0.008337]]"
+"94","2023-11-01","[[0.005712, 0.005712],[0.004292, 0.004292],[0.002271, 0.002271],[0.00522, 0.00522],[0.008294, 0.008294]]"
+"95","2023-11-02","[[0.005682, 0.005682],[0.00427, 0.00427],[0.002282, 0.002282],[0.005146, 0.005146],[0.008243, 0.008243]]"
+"96","2023-11-03","[[0.005648, 0.005648],[0.004247, 0.004247],[0.002293, 0.002293],[0.005066, 0.005066],[0.008185, 0.008185]]"
+"97","2023-11-04","[[0.005612, 0.005612],[0.004222, 0.004222],[0.002304, 0.002304],[0.00498, 0.00498],[0.008118, 0.008118]]"
+"98","2023-11-05","[[0.005573, 0.005573],[0.004195, 0.004195],[0.002314, 0.002314],[0.004889, 0.004889],[0.008045, 0.008045]]"
+"99","2023-11-06","[[0.00553, 0.00553],[0.004167, 0.004167],[0.002323, 0.002323],[0.004794, 0.004794],[0.007964, 0.007964]]"
+"100","2023-11-07","[[0.005485, 0.005485],[0.004137, 0.004137],[0.002331, 0.002331],[0.004695, 0.004695],[0.007877, 0.007877]]"
+"101","2023-11-08","[[0.005437, 0.005437],[0.004106, 0.004106],[0.002339, 0.002339],[0.004592, 0.004592],[0.007783, 0.007783]]"
+"102","2023-11-09","[[0.005387, 0.005387],[0.004074, 0.004074],[0.002346, 0.002346],[0.004486, 0.004486],[0.007684, 0.007684]]"
+"103","2023-11-10","[[0.005334, 0.005334],[0.004039, 0.004039],[0.002352, 0.002352],[0.004378, 0.004378],[0.007578, 0.007578]]"
+"104","2023-11-11","[[0.005279, 0.005279],[0.004004, 0.004004],[0.002357, 0.002357],[0.004267, 0.004267],[0.007467, 0.007467]]"
+"105","2023-11-12","[[0.005222, 0.005222],[0.003967, 0.003967],[0.002362, 0.002362],[0.004154, 0.004154],[0.007352, 0.007352]]"
+"106","2023-11-13","[[0.005162, 0.005162],[0.003929, 0.003929],[0.002366, 0.002366],[0.004039, 0.004039],[0.007231, 0.007231]]"
+"107","2023-11-14","[[0.0051, 0.0051],[0.00389, 0.00389],[0.00237, 0.00237],[0.003924, 0.003924],[0.007107, 0.007107]]"
+"108","2023-11-15","[[0.005037, 0.005037],[0.00385, 0.00385],[0.002372, 0.002372],[0.003808, 0.003808],[0.006978, 0.006978]]"
+"109","2023-11-16","[[0.004972, 0.004972],[0.003809, 0.003809],[0.002374, 0.002374],[0.003692, 0.003692],[0.006847, 0.006847]]"
+"110","2023-11-17","[[0.004905, 0.004905],[0.003767, 0.003767],[0.002375, 0.002375],[0.003576, 0.003576],[0.006712, 0.006712]]"
+"111","2023-11-18","[[0.004836, 0.004836],[0.003724, 0.003724],[0.002375, 0.002375],[0.00346, 0.00346],[0.006574, 0.006574]]"
+"112","2023-11-19","[[0.004766, 0.004766],[0.00368, 0.00368],[0.002375, 0.002375],[0.003345, 0.003345],[0.006435, 0.006435]]"
+"113","2023-11-20","[[0.004695, 0.004695],[0.003635, 0.003635],[0.002373, 0.002373],[0.003231, 0.003231],[0.006293, 0.006293]]"
+"114","2023-11-21","[[0.004623, 0.004623],[0.003589, 0.003589],[0.002371, 0.002371],[0.003118, 0.003118],[0.00615, 0.00615]]"
+"115","2023-11-22","[[0.004549, 0.004549],[0.003543, 0.003543],[0.002369, 0.002369],[0.003007, 0.003007],[0.006006, 0.006006]]"
+"116","2023-11-23","[[0.004475, 0.004475],[0.003496, 0.003496],[0.002365, 0.002365],[0.002897, 0.002897],[0.00586, 0.00586]]"
+"117","2023-11-24","[[0.0044, 0.0044],[0.003448, 0.003448],[0.002361, 0.002361],[0.002789, 0.002789],[0.005715, 0.005715]]"
+"118","2023-11-25","[[0.004324, 0.004324],[0.0034, 0.0034],[0.002356, 0.002356],[0.002683, 0.002683],[0.005569, 0.005569]]"
+"119","2023-11-26","[[0.004248, 0.004248],[0.003352, 0.003352],[0.00235, 0.00235],[0.00258, 0.00258],[0.005423, 0.005423]]"
+"120","2023-11-27","[[0.004171, 0.004171],[0.003303, 0.003303],[0.002343, 0.002343],[0.002479, 0.002479],[0.005278, 0.005278]]"
+"121","2023-11-28","[[0.004093, 0.004093],[0.003254, 0.003254],[0.002336, 0.002336],[0.00238, 0.00238],[0.005133, 0.005133]]"
+"122","2023-11-29","[[0.004016, 0.004016],[0.003204, 0.003204],[0.002328, 0.002328],[0.002283, 0.002283],[0.004989, 0.004989]]"
+"123","2023-11-30","[[0.003938, 0.003938],[0.003154, 0.003154],[0.00232, 0.00232],[0.00219, 0.00219],[0.004846, 0.004846]]"
+"124","2023-12-01","[[0.003861, 0.003861],[0.003104, 0.003104],[0.00231, 0.00231],[0.002099, 0.002099],[0.004705, 0.004705]]"
+"125","2023-12-02","[[0.003783, 0.003783],[0.003054, 0.003054],[0.0023, 0.0023],[0.00201, 0.00201],[0.004565, 0.004565]]"
+"126","2023-12-03","[[0.003705, 0.003705],[0.003004, 0.003004],[0.00229, 0.00229],[0.001924, 0.001924],[0.004427, 0.004427]]"
+"127","2023-12-04","[[0.003628, 0.003628],[0.002953, 0.002953],[0.002278, 0.002278],[0.001841, 0.001841],[0.004291, 0.004291]]"
+"128","2023-12-05","[[0.003551, 0.003551],[0.002903, 0.002903],[0.002266, 0.002266],[0.001761, 0.001761],[0.004157, 0.004157]]"
+"129","2023-12-06","[[0.003474, 0.003474],[0.002853, 0.002853],[0.002254, 0.002254],[0.001684, 0.001684],[0.004025, 0.004025]]"
+"130","2023-12-07","[[0.003398, 0.003398],[0.002802, 0.002802],[0.002241, 0.002241],[0.001609, 0.001609],[0.003895, 0.003895]]"
+"131","2023-12-08","[[0.003322, 0.003322],[0.002752, 0.002752],[0.002227, 0.002227],[0.001537, 0.001537],[0.003768, 0.003768]]"
+"132","2023-12-09","[[0.003247, 0.003247],[0.002702, 0.002702],[0.002213, 0.002213],[0.001467, 0.001467],[0.003643, 0.003643]]"
+"133","2023-12-10","[[0.003173, 0.003173],[0.002652, 0.002652],[0.002198, 0.002198],[0.0014, 0.0014],[0.003521, 0.003521]]"
+"134","2023-12-11","[[0.003099, 0.003099],[0.002603, 0.002603],[0.002182, 0.002182],[0.001336, 0.001336],[0.003402, 0.003402]]"
+"135","2023-12-12","[[0.003026, 0.003026],[0.002554, 0.002554],[0.002166, 0.002166],[0.001274, 0.001274],[0.003285, 0.003285]]"
+"136","2023-12-13","[[0.002954, 0.002954],[0.002505, 0.002505],[0.00215, 0.00215],[0.001215, 0.001215],[0.003171, 0.003171]]"
+"137","2023-12-14","[[0.002882, 0.002882],[0.002456, 0.002456],[0.002133, 0.002133],[0.001158, 0.001158],[0.00306, 0.00306]]"
+"138","2023-12-15","[[0.002812, 0.002812],[0.002408, 0.002408],[0.002115, 0.002115],[0.001103, 0.001103],[0.002951, 0.002951]]"
+"139","2023-12-16","[[0.002742, 0.002742],[0.00236, 0.00236],[0.002097, 0.002097],[0.00105, 0.00105],[0.002846, 0.002846]]"
+"140","2023-12-17","[[0.002674, 0.002674],[0.002312, 0.002312],[0.002079, 0.002079],[0.001, 0.001],[0.002743, 0.002743]]"
+"141","2023-12-18","[[0.002606, 0.002606],[0.002265, 0.002265],[0.00206, 0.00206],[0.000952, 0.000952],[0.002643, 0.002643]]"
+"142","2023-12-19","[[0.00254, 0.00254],[0.002218, 0.002218],[0.002041, 0.002041],[0.000906, 0.000906],[0.002546, 0.002546]]"
+"143","2023-12-20","[[0.002474, 0.002474],[0.002172, 0.002172],[0.002021, 0.002021],[0.000862, 0.000862],[0.002452, 0.002452]]"
+"144","2023-12-21","[[0.00241, 0.00241],[0.002126, 0.002126],[0.002001, 0.002001],[0.00082, 0.00082],[0.00236, 0.00236]]"
+"145","2023-12-22","[[0.002346, 0.002346],[0.002081, 0.002081],[0.001981, 0.001981],[0.00078, 0.00078],[0.002271, 0.002271]]"
+"146","2023-12-23","[[0.002284, 0.002284],[0.002037, 0.002037],[0.001961, 0.001961],[0.000742, 0.000742],[0.002186, 0.002186]]"
+"147","2023-12-24","[[0.002223, 0.002223],[0.001993, 0.001993],[0.00194, 0.00194],[0.000705, 0.000705],[0.002102, 0.002102]]"
+"148","2023-12-25","[[0.002163, 0.002163],[0.001949, 0.001949],[0.001918, 0.001918],[0.000671, 0.000671],[0.002022, 0.002022]]"
+"149","2023-12-26","[[0.002104, 0.002104],[0.001906, 0.001906],[0.001897, 0.001897],[0.000637, 0.000637],[0.001944, 0.001944]]"
+"150","2023-12-27","[[0.002047, 0.002047],[0.001864, 0.001864],[0.001875, 0.001875],[0.000606, 0.000606],[0.001868, 0.001868]]"
+"151","2023-12-28","[[0.00199, 0.00199],[0.001822, 0.001822],[0.001854, 0.001854],[0.000575, 0.000575],[0.001795, 0.001795]]"
+"152","2023-12-29","[[0.001935, 0.001935],[0.001781, 0.001781],[0.001831, 0.001831],[0.000546, 0.000546],[0.001725, 0.001725]]"
+"153","2023-12-30","[[0.001881, 0.001881],[0.00174, 0.00174],[0.001809, 0.001809],[0.000519, 0.000519],[0.001657, 0.001657]]"
+"154","2023-12-31","[[0.001828, 0.001828],[0.001701, 0.001701],[0.001787, 0.001787],[0.000493, 0.000493],[0.001591, 0.001591]]"
+"155","2024-01-01","[[0.001776, 0.001776],[0.001661, 0.001661],[0.001764, 0.001764],[0.000468, 0.000468],[0.001528, 0.001528]]"
+"156","2024-01-02","[[0.001725, 0.001725],[0.001623, 0.001623],[0.001741, 0.001741],[0.000444, 0.000444],[0.001467, 0.001467]]"
+"157","2024-01-03","[[0.001676, 0.001676],[0.001585, 0.001585],[0.001719, 0.001719],[0.000422, 0.000422],[0.001408, 0.001408]]"
+"158","2024-01-04","[[0.001627, 0.001627],[0.001547, 0.001547],[0.001696, 0.001696],[0.0004, 0.0004],[0.001351, 0.001351]]"
+"159","2024-01-05","[[0.00158, 0.00158],[0.001511, 0.001511],[0.001673, 0.001673],[0.00038, 0.00038],[0.001297, 0.001297]]"
+"160","2024-01-06","[[0.001534, 0.001534],[0.001475, 0.001475],[0.00165, 0.00165],[0.000361, 0.000361],[0.001244, 0.001244]]"
+"161","2024-01-07","[[0.001489, 0.001489],[0.001439, 0.001439],[0.001627, 0.001627],[0.000342, 0.000342],[0.001193, 0.001193]]"
+"162","2024-01-08","[[0.001445, 0.001445],[0.001405, 0.001405],[0.001603, 0.001603],[0.000325, 0.000325],[0.001145, 0.001145]]"
+"163","2024-01-09","[[0.001402, 0.001402],[0.00137, 0.00137],[0.00158, 0.00158],[0.000308, 0.000308],[0.001098, 0.001098]]"
+"164","2024-01-10","[[0.00136, 0.00136],[0.001337, 0.001337],[0.001557, 0.001557],[0.000292, 0.000292],[0.001053, 0.001053]]"
+"165","2024-01-11","[[0.00132, 0.00132],[0.001304, 0.001304],[0.001534, 0.001534],[0.000277, 0.000277],[0.001009, 0.001009]]"
+"166","2024-01-12","[[0.00128, 0.00128],[0.001272, 0.001272],[0.001511, 0.001511],[0.000263, 0.000263],[0.000967, 0.000967]]"
+"167","2024-01-13","[[0.001241, 0.001241],[0.001241, 0.001241],[0.001488, 0.001488],[0.000249, 0.000249],[0.000927, 0.000927]]"
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+"188","2024-02-03","[[0.000637, 0.000637],[0.000715, 0.000715],[0.001034, 0.001034],[0.000081, 0.000081],[0.000373, 0.000373]]"
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+"191","2024-02-06","[[0.000577, 0.000577],[0.000659, 0.000659],[0.000976, 0.000976],[0.000069, 0.000069],[0.000327, 0.000327]]"
+"192","2024-02-07","[[0.000559, 0.000559],[0.000641, 0.000641],[0.000957, 0.000957],[0.000065, 0.000065],[0.000313, 0.000313]]"
+"193","2024-02-08","[[0.00054, 0.00054],[0.000623, 0.000623],[0.000938, 0.000938],[0.000062, 0.000062],[0.0003, 0.0003]]"
+"194","2024-02-09","[[0.000523, 0.000523],[0.000606, 0.000606],[0.00092, 0.00092],[0.000059, 0.000059],[0.000287, 0.000287]]"
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+"196","2024-02-11","[[0.000489, 0.000489],[0.000574, 0.000574],[0.000884, 0.000884],[0.000053, 0.000053],[0.000262, 0.000262]]"
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+"198","2024-02-13","[[0.000458, 0.000458],[0.000543, 0.000543],[0.000849, 0.000849],[0.000047, 0.000047],[0.00024, 0.00024]]"
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+"200","2024-02-15","[[0.000429, 0.000429],[0.000513, 0.000513],[0.000815, 0.000815],[0.000043, 0.000043],[0.00022, 0.00022]]"
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+"202","2024-02-17","[[0.000401, 0.000401],[0.000486, 0.000486],[0.000782, 0.000782],[0.000038, 0.000038],[0.000201, 0.000201]]"
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+"205","2024-02-20","[[0.000363, 0.000363],[0.000446, 0.000446],[0.000735, 0.000735],[0.000032, 0.000032],[0.000176, 0.000176]]"
+"206","2024-02-21","[[0.000351, 0.000351],[0.000434, 0.000434],[0.000719, 0.000719],[0.000031, 0.000031],[0.000168, 0.000168]]"
+"207","2024-02-22","[[0.000339, 0.000339],[0.000422, 0.000422],[0.000704, 0.000704],[0.000029, 0.000029],[0.000161, 0.000161]]"
+"208","2024-02-23","[[0.000328, 0.000328],[0.00041, 0.00041],[0.000689, 0.000689],[0.000028, 0.000028],[0.000154, 0.000154]]"
+"209","2024-02-24","[[0.000317, 0.000317],[0.000399, 0.000399],[0.000675, 0.000675],[0.000026, 0.000026],[0.000147, 0.000147]]"
+"210","2024-02-25","[[0.000307, 0.000307],[0.000388, 0.000388],[0.00066, 0.00066],[0.000025, 0.000025],[0.000141, 0.000141]]"
+"211","2024-02-26","[[0.000296, 0.000296],[0.000377, 0.000377],[0.000646, 0.000646],[0.000023, 0.000023],[0.000135, 0.000135]]"
+"212","2024-02-27","[[0.000287, 0.000287],[0.000366, 0.000366],[0.000633, 0.000633],[0.000022, 0.000022],[0.000129, 0.000129]]"
+"213","2024-02-28","[[0.000277, 0.000277],[0.000356, 0.000356],[0.000619, 0.000619],[0.000021, 0.000021],[0.000123, 0.000123]]"
+"214","2024-02-29","[[0.000268, 0.000268],[0.000346, 0.000346],[0.000606, 0.000606],[0.00002, 0.00002],[0.000118, 0.000118]]"
+"215","2024-03-01","[[0.000259, 0.000259],[0.000336, 0.000336],[0.000593, 0.000593],[0.000019, 0.000019],[0.000113, 0.000113]]"
+"216","2024-03-02","[[0.00025, 0.00025],[0.000327, 0.000327],[0.00058, 0.00058],[0.000018, 0.000018],[0.000108, 0.000108]]"
+"217","2024-03-03","[[0.000242, 0.000242],[0.000318, 0.000318],[0.000567, 0.000567],[0.000017, 0.000017],[0.000103, 0.000103]]"
+"218","2024-03-04","[[0.000234, 0.000234],[0.000309, 0.000309],[0.000555, 0.000555],[0.000016, 0.000016],[0.000098, 0.000098]]"
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+"222","2024-03-08","[[0.000204, 0.000204],[0.000275, 0.000275],[0.000507, 0.000507],[0.000013, 0.000013],[0.000082, 0.000082]]"
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+"225","2024-03-11","[[0.000184, 0.000184],[0.000252, 0.000252],[0.000474, 0.000474],[0.000011, 0.000011],[0.000072, 0.000072]]"
+"226","2024-03-12","[[0.000178, 0.000178],[0.000245, 0.000245],[0.000463, 0.000463],[0.00001, 0.00001],[0.000069, 0.000069]]"
+"227","2024-03-13","[[0.000172, 0.000172],[0.000238, 0.000238],[0.000453, 0.000453],[0.00001, 0.00001],[0.000066, 0.000066]]"
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+"234","2024-03-20","[[0.000136, 0.000136],[0.000195, 0.000195],[0.000386, 0.000386],[0.000007, 0.000007],[0.000048, 0.000048]]"
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+"256","2024-04-11","[[0.000064, 0.000064],[0.000102, 0.000102],[0.000229, 0.000229],[0.000002, 0.000002],[0.000018, 0.000018]]"
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+"259","2024-04-14","[[0.000057, 0.000057],[0.000094, 0.000094],[0.000213, 0.000213],[0.000002, 0.000002],[0.000016, 0.000016]]"
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+"267","2024-04-22","[[0.000044, 0.000044],[0.000074, 0.000074],[0.000176, 0.000176],[0.000001, 0.000001],[0.000011, 0.000011]]"
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+"269","2024-04-24","[[0.000041, 0.000041],[0.00007, 0.00007],[0.000167, 0.000167],[0.000001, 0.000001],[0.00001, 0.00001]]"
+"270","2024-04-25","[[0.000039, 0.000039],[0.000068, 0.000068],[0.000163, 0.000163],[0.000001, 0.000001],[0.00001, 0.00001]]"
+"271","2024-04-26","[[0.000038, 0.000038],[0.000066, 0.000066],[0.000159, 0.000159],[0.000001, 0.000001],[0.000009, 0.000009]]"
+"272","2024-04-27","[[0.000037, 0.000037],[0.000064, 0.000064],[0.000155, 0.000155],[0.000001, 0.000001],[0.000009, 0.000009]]"
+"273","2024-04-28","[[0.000035, 0.000035],[0.000062, 0.000062],[0.000152, 0.000152],[0.000001, 0.000001],[0.000008, 0.000008]]"
+"274","2024-04-29","[[0.000034, 0.000034],[0.00006, 0.00006],[0.000148, 0.000148],[0.000001, 0.000001],[0.000008, 0.000008]]"
+"275","2024-04-30","[[0.000033, 0.000033],[0.000059, 0.000059],[0.000144, 0.000144],[0.000001, 0.000001],[0.000008, 0.000008]]"
+"276","2024-05-01","[[0.000032, 0.000032],[0.000057, 0.000057],[0.000141, 0.000141],[0.000001, 0.000001],[0.000007, 0.000007]]"
+"277","2024-05-02","[[0.000031, 0.000031],[0.000055, 0.000055],[0.000138, 0.000138],[0.000001, 0.000001],[0.000007, 0.000007]]"
+"278","2024-05-03","[[0.00003, 0.00003],[0.000054, 0.000054],[0.000134, 0.000134],[0.000001, 0.000001],[0.000007, 0.000007]]"
+"279","2024-05-04","[[0.000029, 0.000029],[0.000052, 0.000052],[0.000131, 0.000131],[0.000001, 0.000001],[0.000006, 0.000006]]"
+"280","2024-05-05","[[0.000028, 0.000028],[0.00005, 0.00005],[0.000128, 0.000128],[0.000001, 0.000001],[0.000006, 0.000006]]"
+"281","2024-05-06","[[0.000027, 0.000027],[0.000049, 0.000049],[0.000125, 0.000125],[0.000001, 0.000001],[0.000006, 0.000006]]"
+"282","2024-05-07","[[0.000026, 0.000026],[0.000048, 0.000048],[0.000122, 0.000122],[0.000001, 0.000001],[0.000006, 0.000006]]"
+"283","2024-05-08","[[0.000025, 0.000025],[0.000046, 0.000046],[0.000119, 0.000119],[0, 0],[0.000005, 0.000005]]"
+"284","2024-05-09","[[0.000024, 0.000024],[0.000045, 0.000045],[0.000116, 0.000116],[0, 0],[0.000005, 0.000005]]"
+"285","2024-05-10","[[0.000023, 0.000023],[0.000044, 0.000044],[0.000113, 0.000113],[0, 0],[0.000005, 0.000005]]"
+"286","2024-05-11","[[0.000023, 0.000023],[0.000042, 0.000042],[0.00011, 0.00011],[0, 0],[0.000005, 0.000005]]"
+"287","2024-05-12","[[0.000022, 0.000022],[0.000041, 0.000041],[0.000107, 0.000107],[0, 0],[0.000004, 0.000004]]"
+"288","2024-05-13","[[0.000021, 0.000021],[0.00004, 0.00004],[0.000105, 0.000105],[0, 0],[0.000004, 0.000004]]"
+"289","2024-05-14","[[0.00002, 0.00002],[0.000039, 0.000039],[0.000102, 0.000102],[0, 0],[0.000004, 0.000004]]"
+"290","2024-05-15","[[0.00002, 0.00002],[0.000038, 0.000038],[0.0001, 0.0001],[0, 0],[0.000004, 0.000004]]"
+"291","2024-05-16","[[0.000019, 0.000019],[0.000036, 0.000036],[0.000097, 0.000097],[0, 0],[0.000004, 0.000004]]"
+"292","2024-05-17","[[0.000018, 0.000018],[0.000035, 0.000035],[0.000095, 0.000095],[0, 0],[0.000004, 0.000004]]"
+"293","2024-05-18","[[0.000018, 0.000018],[0.000034, 0.000034],[0.000093, 0.000093],[0, 0],[0.000003, 0.000003]]"
+"294","2024-05-19","[[0.000017, 0.000017],[0.000033, 0.000033],[0.00009, 0.00009],[0, 0],[0.000003, 0.000003]]"
+"295","2024-05-20","[[0.000017, 0.000017],[0.000032, 0.000032],[0.000088, 0.000088],[0, 0],[0.000003, 0.000003]]"
+"296","2024-05-21","[[0.000016, 0.000016],[0.000031, 0.000031],[0.000086, 0.000086],[0, 0],[0.000003, 0.000003]]"
+"297","2024-05-22","[[0.000015, 0.000015],[0.000031, 0.000031],[0.000084, 0.000084],[0, 0],[0.000003, 0.000003]]"
+"298","2024-05-23","[[0.000015, 0.000015],[0.00003, 0.00003],[0.000082, 0.000082],[0, 0],[0.000003, 0.000003]]"
+"299","2024-05-24","[[0.000014, 0.000014],[0.000029, 0.000029],[0.00008, 0.00008],[0, 0],[0.000003, 0.000003]]"
+"300","2024-05-25","[[0.000014, 0.000014],[0.000028, 0.000028],[0.000078, 0.000078],[0, 0],[0.000002, 0.000002]]"
+"301","2024-05-26","[[0.000013, 0.000013],[0.000027, 0.000027],[0.000076, 0.000076],[0, 0],[0.000002, 0.000002]]"
+"302","2024-05-27","[[0.000013, 0.000013],[0.000026, 0.000026],[0.000074, 0.000074],[0, 0],[0.000002, 0.000002]]"
+"303","2024-05-28","[[0.000013, 0.000013],[0.000026, 0.000026],[0.000072, 0.000072],[0, 0],[0.000002, 0.000002]]"
+"304","2024-05-29","[[0.000012, 0.000012],[0.000025, 0.000025],[0.00007, 0.00007],[0, 0],[0.000002, 0.000002]]"
+"305","2024-05-30","[[0.000012, 0.000012],[0.000024, 0.000024],[0.000069, 0.000069],[0, 0],[0.000002, 0.000002]]"
+"306","2024-05-31","[[0.000011, 0.000011],[0.000023, 0.000023],[0.000067, 0.000067],[0, 0],[0.000002, 0.000002]]"
diff --git a/flu_instances/austin_input_files_2023_2024/daily_vaccines_West.csv b/flu_instances/austin_input_files_2023_2024/daily_vaccines_West.csv
index 62fad24..cfb1c40 100644
--- a/flu_instances/austin_input_files_2023_2024/daily_vaccines_West.csv
+++ b/flu_instances/austin_input_files_2023_2024/daily_vaccines_West.csv
@@ -1,307 +1,307 @@
 "","date","daily_vaccines"
-"1","2023-07-31","[[0.042629],[0.059538],[0.027133],[0.00556],[0.018044]]"
-"2","2023-08-01","[[0.001421],[0.001643],[0.000653],[0.000306],[0.000813]]"
-"3","2023-08-02","[[0.001465],[0.001684],[0.000668],[0.000323],[0.000849]]"
-"4","2023-08-03","[[0.001511],[0.001725],[0.000683],[0.00034],[0.000886]]"
-"5","2023-08-04","[[0.001558],[0.001768],[0.000698],[0.000358],[0.000925]]"
-"6","2023-08-05","[[0.001606],[0.001812],[0.000714],[0.000378],[0.000966]]"
-"7","2023-08-06","[[0.001656],[0.001856],[0.00073],[0.000398],[0.001008]]"
-"8","2023-08-07","[[0.001707],[0.001901],[0.000746],[0.00042],[0.001052]]"
-"9","2023-08-08","[[0.001759],[0.001947],[0.000762],[0.000442],[0.001097]]"
-"10","2023-08-09","[[0.001813],[0.001993],[0.000779],[0.000466],[0.001145]]"
-"11","2023-08-10","[[0.001867],[0.00204],[0.000796],[0.000491],[0.001195]]"
-"12","2023-08-11","[[0.001924],[0.002089],[0.000813],[0.000517],[0.001246]]"
-"13","2023-08-12","[[0.001981],[0.002137],[0.000831],[0.000545],[0.0013]]"
-"14","2023-08-13","[[0.00204],[0.002187],[0.000849],[0.000574],[0.001355]]"
-"15","2023-08-14","[[0.002101],[0.002238],[0.000867],[0.000605],[0.001413]]"
-"16","2023-08-15","[[0.002162],[0.002289],[0.000886],[0.000637],[0.001474]]"
-"17","2023-08-16","[[0.002225],[0.002341],[0.000904],[0.00067],[0.001536]]"
-"18","2023-08-17","[[0.00229],[0.002393],[0.000924],[0.000706],[0.001601]]"
-"19","2023-08-18","[[0.002356],[0.002447],[0.000943],[0.000743],[0.001668]]"
-"20","2023-08-19","[[0.002423],[0.002501],[0.000963],[0.000782],[0.001738]]"
-"21","2023-08-20","[[0.002492],[0.002555],[0.000983],[0.000822],[0.001811]]"
-"22","2023-08-21","[[0.002563],[0.002611],[0.001003],[0.000865],[0.001886]]"
-"23","2023-08-22","[[0.002634],[0.002667],[0.001024],[0.00091],[0.001964]]"
-"24","2023-08-23","[[0.002707],[0.002723],[0.001045],[0.000957],[0.002045]]"
-"25","2023-08-24","[[0.002782],[0.00278],[0.001066],[0.001006],[0.002129]]"
-"26","2023-08-25","[[0.002858],[0.002838],[0.001088],[0.001058],[0.002216]]"
-"27","2023-08-26","[[0.002935],[0.002896],[0.00111],[0.001111],[0.002306]]"
-"28","2023-08-27","[[0.003014],[0.002955],[0.001132],[0.001168],[0.002399]]"
-"29","2023-08-28","[[0.003093],[0.003014],[0.001155],[0.001227],[0.002495]]"
-"30","2023-08-29","[[0.003175],[0.003074],[0.001177],[0.001288],[0.002594]]"
-"31","2023-08-30","[[0.003257],[0.003134],[0.0012],[0.001352],[0.002697]]"
-"32","2023-08-31","[[0.003341],[0.003194],[0.001224],[0.001419],[0.002802]]"
-"33","2023-09-01","[[0.003426],[0.003255],[0.001248],[0.001489],[0.002912]]"
-"34","2023-09-02","[[0.003512],[0.003316],[0.001272],[0.001562],[0.003024]]"
-"35","2023-09-03","[[0.003599],[0.003377],[0.001296],[0.001638],[0.00314]]"
-"36","2023-09-04","[[0.003687],[0.003438],[0.00132],[0.001717],[0.00326]]"
-"37","2023-09-05","[[0.003776],[0.0035],[0.001345],[0.001799],[0.003383]]"
-"38","2023-09-06","[[0.003866],[0.003561],[0.00137],[0.001884],[0.003509]]"
-"39","2023-09-07","[[0.003957],[0.003623],[0.001396],[0.001972],[0.003639]]"
-"40","2023-09-08","[[0.004049],[0.003684],[0.001421],[0.002064],[0.003772]]"
-"41","2023-09-09","[[0.004141],[0.003746],[0.001447],[0.002159],[0.003909]]"
-"42","2023-09-10","[[0.004234],[0.003807],[0.001473],[0.002257],[0.004049]]"
-"43","2023-09-11","[[0.004328],[0.003868],[0.001499],[0.002359],[0.004193]]"
-"44","2023-09-12","[[0.004422],[0.003929],[0.001526],[0.002464],[0.00434]]"
-"45","2023-09-13","[[0.004517],[0.00399],[0.001553],[0.002572],[0.00449]]"
-"46","2023-09-14","[[0.004611],[0.00405],[0.001579],[0.002684],[0.004643]]"
-"47","2023-09-15","[[0.004706],[0.00411],[0.001607],[0.002799],[0.004799]]"
-"48","2023-09-16","[[0.004801],[0.004169],[0.001634],[0.002917],[0.004959]]"
-"49","2023-09-17","[[0.004896],[0.004227],[0.001661],[0.003038],[0.005121]]"
-"50","2023-09-18","[[0.004991],[0.004285],[0.001689],[0.003162],[0.005285]]"
-"51","2023-09-19","[[0.005086],[0.004342],[0.001716],[0.003288],[0.005452]]"
-"52","2023-09-20","[[0.00518],[0.004399],[0.001744],[0.003418],[0.005622]]"
-"53","2023-09-21","[[0.005273],[0.004454],[0.001772],[0.00355],[0.005793]]"
-"54","2023-09-22","[[0.005366],[0.004509],[0.0018],[0.003684],[0.005966]]"
-"55","2023-09-23","[[0.005458],[0.004563],[0.001828],[0.00382],[0.006141]]"
-"56","2023-09-24","[[0.005549],[0.004615],[0.001857],[0.003958],[0.006317]]"
-"57","2023-09-25","[[0.005639],[0.004667],[0.001885],[0.004098],[0.006494]]"
-"58","2023-09-26","[[0.005727],[0.004717],[0.001913],[0.004239],[0.006672]]"
-"59","2023-09-27","[[0.005815],[0.004766],[0.001941],[0.00438],[0.006851]]"
-"60","2023-09-28","[[0.0059],[0.004813],[0.00197],[0.004522],[0.007029]]"
-"61","2023-09-29","[[0.005984],[0.004859],[0.001998],[0.004664],[0.007207]]"
-"62","2023-09-30","[[0.006066],[0.004904],[0.002026],[0.004806],[0.007384]]"
-"63","2023-10-01","[[0.006146],[0.004946],[0.002054],[0.004947],[0.00756]]"
-"64","2023-10-02","[[0.006224],[0.004988],[0.002082],[0.005086],[0.007735]]"
-"65","2023-10-03","[[0.0063],[0.005027],[0.00211],[0.005224],[0.007907]]"
-"66","2023-10-04","[[0.006373],[0.005065],[0.002138],[0.00536],[0.008077]]"
-"67","2023-10-05","[[0.006444],[0.005101],[0.002166],[0.005493],[0.008245]]"
-"68","2023-10-06","[[0.006512],[0.005135],[0.002193],[0.005622],[0.008409]]"
-"69","2023-10-07","[[0.006577],[0.005168],[0.002221],[0.005747],[0.008569]]"
-"70","2023-10-08","[[0.006639],[0.005198],[0.002248],[0.005868],[0.008725]]"
-"71","2023-10-09","[[0.006698],[0.005226],[0.002275],[0.005984],[0.008876]]"
-"72","2023-10-10","[[0.006753],[0.005252],[0.002302],[0.006095],[0.009021]]"
-"73","2023-10-11","[[0.006805],[0.005276],[0.002328],[0.006199],[0.009162]]"
-"74","2023-10-12","[[0.006854],[0.005298],[0.002354],[0.006297],[0.009295]]"
-"75","2023-10-13","[[0.006899],[0.005317],[0.00238],[0.006387],[0.009423]]"
-"76","2023-10-14","[[0.00694],[0.005334],[0.002405],[0.00647],[0.009543]]"
-"77","2023-10-15","[[0.006978],[0.005349],[0.00243],[0.006545],[0.009656]]"
-"78","2023-10-16","[[0.007011],[0.005362],[0.002455],[0.006611],[0.00976]]"
-"79","2023-10-17","[[0.007041],[0.005373],[0.002479],[0.006669],[0.009857]]"
-"80","2023-10-18","[[0.007066],[0.005381],[0.002503],[0.006718],[0.009944]]"
-"81","2023-10-19","[[0.007088],[0.005386],[0.002526],[0.006757],[0.010023]]"
-"82","2023-10-20","[[0.007105],[0.00539],[0.002549],[0.006786],[0.010093]]"
-"83","2023-10-21","[[0.007118],[0.005391],[0.002571],[0.006806],[0.010152]]"
-"84","2023-10-22","[[0.007127],[0.005389],[0.002593],[0.006815],[0.010202]]"
-"85","2023-10-23","[[0.007131],[0.005385],[0.002614],[0.006815],[0.010243]]"
-"86","2023-10-24","[[0.007132],[0.005379],[0.002635],[0.006805],[0.010272]]"
-"87","2023-10-25","[[0.007128],[0.005371],[0.002655],[0.006785],[0.010292]]"
-"88","2023-10-26","[[0.00712],[0.00536],[0.002674],[0.006754],[0.010301]]"
-"89","2023-10-27","[[0.007107],[0.005347],[0.002693],[0.006715],[0.0103]]"
-"90","2023-10-28","[[0.00709],[0.005331],[0.002711],[0.006666],[0.010288]]"
-"91","2023-10-29","[[0.00707],[0.005313],[0.002728],[0.006608],[0.010266]]"
-"92","2023-10-30","[[0.007045],[0.005293],[0.002745],[0.006541],[0.010234]]"
-"93","2023-10-31","[[0.007016],[0.005271],[0.00276],[0.006465],[0.010191]]"
-"94","2023-11-01","[[0.006982],[0.005247],[0.002776],[0.006382],[0.010139]]"
-"95","2023-11-02","[[0.006946],[0.00522],[0.00279],[0.006291],[0.010077]]"
-"96","2023-11-03","[[0.006905],[0.005192],[0.002804],[0.006193],[0.010005]]"
-"97","2023-11-04","[[0.00686],[0.005161],[0.002816],[0.006088],[0.009924]]"
-"98","2023-11-05","[[0.006812],[0.005129],[0.002828],[0.005977],[0.009834]]"
-"99","2023-11-06","[[0.00676],[0.005094],[0.002839],[0.005861],[0.009736]]"
-"100","2023-11-07","[[0.006705],[0.005058],[0.00285],[0.00574],[0.009629]]"
-"101","2023-11-08","[[0.006647],[0.00502],[0.002859],[0.005614],[0.009515]]"
-"102","2023-11-09","[[0.006585],[0.00498],[0.002867],[0.005484],[0.009393]]"
-"103","2023-11-10","[[0.006521],[0.004938],[0.002875],[0.005351],[0.009264]]"
-"104","2023-11-11","[[0.006453],[0.004895],[0.002882],[0.005216],[0.009128]]"
-"105","2023-11-12","[[0.006383],[0.00485],[0.002888],[0.005078],[0.008987]]"
-"106","2023-11-13","[[0.00631],[0.004804],[0.002893],[0.004938],[0.00884]]"
-"107","2023-11-14","[[0.006235],[0.004756],[0.002897],[0.004797],[0.008688]]"
-"108","2023-11-15","[[0.006157],[0.004707],[0.0029],[0.004655],[0.008531]]"
-"109","2023-11-16","[[0.006077],[0.004656],[0.002902],[0.004513],[0.00837]]"
-"110","2023-11-17","[[0.005996],[0.004605],[0.002903],[0.004371],[0.008205]]"
-"111","2023-11-18","[[0.005912],[0.004552],[0.002903],[0.00423],[0.008037]]"
-"112","2023-11-19","[[0.005826],[0.004498],[0.002903],[0.004089],[0.007866]]"
-"113","2023-11-20","[[0.005739],[0.004443],[0.002901],[0.00395],[0.007693]]"
-"114","2023-11-21","[[0.005651],[0.004388],[0.002899],[0.003812],[0.007518]]"
-"115","2023-11-22","[[0.005561],[0.004331],[0.002895],[0.003676],[0.007342]]"
-"116","2023-11-23","[[0.00547],[0.004274],[0.002891],[0.003541],[0.007164]]"
-"117","2023-11-24","[[0.005378],[0.004216],[0.002886],[0.00341],[0.006986]]"
-"118","2023-11-25","[[0.005286],[0.004157],[0.00288],[0.00328],[0.006808]]"
-"119","2023-11-26","[[0.005192],[0.004098],[0.002873],[0.003154],[0.00663]]"
-"120","2023-11-27","[[0.005098],[0.004038],[0.002865],[0.00303],[0.006452]]"
-"121","2023-11-28","[[0.005004],[0.003977],[0.002856],[0.002909],[0.006275]]"
-"122","2023-11-29","[[0.004909],[0.003917],[0.002846],[0.002791],[0.006099]]"
-"123","2023-11-30","[[0.004814],[0.003856],[0.002836],[0.002677],[0.005925]]"
-"124","2023-12-01","[[0.004719],[0.003795],[0.002824],[0.002565],[0.005752]]"
-"125","2023-12-02","[[0.004624],[0.003733],[0.002812],[0.002457],[0.005581]]"
-"126","2023-12-03","[[0.00453],[0.003672],[0.002799],[0.002352],[0.005412]]"
-"127","2023-12-04","[[0.004435],[0.00361],[0.002785],[0.002251],[0.005245]]"
-"128","2023-12-05","[[0.004341],[0.003549],[0.002771],[0.002153],[0.005081]]"
-"129","2023-12-06","[[0.004247],[0.003487],[0.002755],[0.002058],[0.00492]]"
-"130","2023-12-07","[[0.004154],[0.003426],[0.002739],[0.001967],[0.004762]]"
-"131","2023-12-08","[[0.004061],[0.003364],[0.002722],[0.001878],[0.004606]]"
-"132","2023-12-09","[[0.00397],[0.003303],[0.002705],[0.001793],[0.004454]]"
-"133","2023-12-10","[[0.003879],[0.003242],[0.002686],[0.001712],[0.004304]]"
-"134","2023-12-11","[[0.003788],[0.003182],[0.002668],[0.001633],[0.004158]]"
-"135","2023-12-12","[[0.003699],[0.003122],[0.002648],[0.001557],[0.004015]]"
-"136","2023-12-13","[[0.003611],[0.003062],[0.002628],[0.001485],[0.003876]]"
-"137","2023-12-14","[[0.003524],[0.003002],[0.002607],[0.001415],[0.00374]]"
-"138","2023-12-15","[[0.003437],[0.002943],[0.002586],[0.001348],[0.003608]]"
-"139","2023-12-16","[[0.003352],[0.002884],[0.002564],[0.001284],[0.003479]]"
-"140","2023-12-17","[[0.003268],[0.002826],[0.002541],[0.001223],[0.003353]]"
-"141","2023-12-18","[[0.003186],[0.002769],[0.002518],[0.001164],[0.003231]]"
-"142","2023-12-19","[[0.003104],[0.002712],[0.002495],[0.001108],[0.003112]]"
-"143","2023-12-20","[[0.003024],[0.002655],[0.002471],[0.001054],[0.002997]]"
-"144","2023-12-21","[[0.002946],[0.002599],[0.002447],[0.001003],[0.002885]]"
-"145","2023-12-22","[[0.002868],[0.002544],[0.002422],[0.000954],[0.002777]]"
-"146","2023-12-23","[[0.002792],[0.00249],[0.002397],[0.000907],[0.002672]]"
-"147","2023-12-24","[[0.002717],[0.002436],[0.002371],[0.000862],[0.00257]]"
-"148","2023-12-25","[[0.002644],[0.002383],[0.002345],[0.00082],[0.002471]]"
-"149","2023-12-26","[[0.002572],[0.00233],[0.002319],[0.000779],[0.002376]]"
-"150","2023-12-27","[[0.002502],[0.002278],[0.002293],[0.00074],[0.002284]]"
-"151","2023-12-28","[[0.002433],[0.002227],[0.002266],[0.000703],[0.002195]]"
-"152","2023-12-29","[[0.002365],[0.002177],[0.002239],[0.000668],[0.002109]]"
-"153","2023-12-30","[[0.002299],[0.002128],[0.002212],[0.000634],[0.002026]]"
-"154","2023-12-31","[[0.002234],[0.002079],[0.002184],[0.000603],[0.001945]]"
-"155","2024-01-01","[[0.002171],[0.002031],[0.002157],[0.000572],[0.001868]]"
-"156","2024-01-02","[[0.002109],[0.001984],[0.002129],[0.000543],[0.001793]]"
-"157","2024-01-03","[[0.002048],[0.001937],[0.002101],[0.000516],[0.001721]]"
-"158","2024-01-04","[[0.001989],[0.001892],[0.002073],[0.000489],[0.001652]]"
-"159","2024-01-05","[[0.001931],[0.001847],[0.002045],[0.000465],[0.001585]]"
-"160","2024-01-06","[[0.001875],[0.001803],[0.002017],[0.000441],[0.001521]]"
-"161","2024-01-07","[[0.00182],[0.001759],[0.001988],[0.000418],[0.001459]]"
-"162","2024-01-08","[[0.001766],[0.001717],[0.00196],[0.000397],[0.001399]]"
-"163","2024-01-09","[[0.001714],[0.001675],[0.001932],[0.000377],[0.001342]]"
-"164","2024-01-10","[[0.001663],[0.001634],[0.001904],[0.000357],[0.001287]]"
-"165","2024-01-11","[[0.001613],[0.001594],[0.001875],[0.000339],[0.001234]]"
-"166","2024-01-12","[[0.001565],[0.001555],[0.001847],[0.000321],[0.001182]]"
-"167","2024-01-13","[[0.001518],[0.001516],[0.001819],[0.000305],[0.001133]]"
-"168","2024-01-14","[[0.001472],[0.001479],[0.001791],[0.000289],[0.001086]]"
-"169","2024-01-15","[[0.001427],[0.001442],[0.001763],[0.000274],[0.001041]]"
-"170","2024-01-16","[[0.001383],[0.001405],[0.001735],[0.00026],[0.000997]]"
-"171","2024-01-17","[[0.001341],[0.00137],[0.001707],[0.000247],[0.000956]]"
-"172","2024-01-18","[[0.0013],[0.001335],[0.001679],[0.000234],[0.000916]]"
-"173","2024-01-19","[[0.001259],[0.001301],[0.001652],[0.000222],[0.000877]]"
-"174","2024-01-20","[[0.00122],[0.001268],[0.001625],[0.00021],[0.00084]]"
-"175","2024-01-21","[[0.001183],[0.001235],[0.001597],[0.000199],[0.000805]]"
-"176","2024-01-22","[[0.001146],[0.001204],[0.00157],[0.000189],[0.000771]]"
-"177","2024-01-23","[[0.00111],[0.001172],[0.001544],[0.000179],[0.000738]]"
-"178","2024-01-24","[[0.001075],[0.001142],[0.001517],[0.00017],[0.000707]]"
-"179","2024-01-25","[[0.001041],[0.001112],[0.00149],[0.000161],[0.000677]]"
-"180","2024-01-26","[[0.001009],[0.001083],[0.001464],[0.000153],[0.000648]]"
-"181","2024-01-27","[[0.000977],[0.001055],[0.001438],[0.000145],[0.00062]]"
-"182","2024-01-28","[[0.000946],[0.001027],[0.001413],[0.000137],[0.000594]]"
-"183","2024-01-29","[[0.000916],[0.001],[0.001387],[0.00013],[0.000568]]"
-"184","2024-01-30","[[0.000887],[0.000973],[0.001362],[0.000123],[0.000544]]"
-"185","2024-01-31","[[0.000858],[0.000948],[0.001337],[0.000117],[0.000521]]"
-"186","2024-02-01","[[0.000831],[0.000922],[0.001312],[0.000111],[0.000498]]"
-"187","2024-02-02","[[0.000804],[0.000898],[0.001288],[0.000105],[0.000477]]"
-"188","2024-02-03","[[0.000778],[0.000874],[0.001263],[0.000099],[0.000456]]"
-"189","2024-02-04","[[0.000753],[0.00085],[0.00124],[0.000094],[0.000437]]"
-"190","2024-02-05","[[0.000729],[0.000827],[0.001216],[0.000089],[0.000418]]"
-"191","2024-02-06","[[0.000706],[0.000805],[0.001193],[0.000084],[0.0004]]"
-"192","2024-02-07","[[0.000683],[0.000783],[0.00117],[0.00008],[0.000383]]"
-"193","2024-02-08","[[0.000661],[0.000762],[0.001147],[0.000076],[0.000366]]"
-"194","2024-02-09","[[0.000639],[0.000741],[0.001124],[0.000072],[0.00035]]"
-"195","2024-02-10","[[0.000618],[0.000721],[0.001102],[0.000068],[0.000335]]"
-"196","2024-02-11","[[0.000598],[0.000702],[0.001081],[0.000065],[0.000321]]"
-"197","2024-02-12","[[0.000579],[0.000682],[0.001059],[0.000061],[0.000307]]"
-"198","2024-02-13","[[0.00056],[0.000664],[0.001038],[0.000058],[0.000293]]"
-"199","2024-02-14","[[0.000542],[0.000645],[0.001017],[0.000055],[0.000281]]"
-"200","2024-02-15","[[0.000524],[0.000628],[0.000996],[0.000052],[0.000269]]"
-"201","2024-02-16","[[0.000507],[0.00061],[0.000976],[0.000049],[0.000257]]"
-"202","2024-02-17","[[0.00049],[0.000594],[0.000956],[0.000047],[0.000246]]"
-"203","2024-02-18","[[0.000474],[0.000577],[0.000936],[0.000044],[0.000235]]"
-"204","2024-02-19","[[0.000458],[0.000561],[0.000917],[0.000042],[0.000225]]"
-"205","2024-02-20","[[0.000443],[0.000546],[0.000898],[0.00004],[0.000215]]"
-"206","2024-02-21","[[0.000429],[0.00053],[0.000879],[0.000038],[0.000206]]"
-"207","2024-02-22","[[0.000414],[0.000516],[0.000861],[0.000036],[0.000197]]"
-"208","2024-02-23","[[0.000401],[0.000501],[0.000843],[0.000034],[0.000188]]"
-"209","2024-02-24","[[0.000388],[0.000487],[0.000825],[0.000032],[0.00018]]"
-"210","2024-02-25","[[0.000375],[0.000474],[0.000807],[0.00003],[0.000172]]"
-"211","2024-02-26","[[0.000362],[0.000461],[0.00079],[0.000029],[0.000165]]"
-"212","2024-02-27","[[0.00035],[0.000448],[0.000773],[0.000027],[0.000157]]"
-"213","2024-02-28","[[0.000339],[0.000435],[0.000757],[0.000026],[0.000151]]"
-"214","2024-02-29","[[0.000327],[0.000423],[0.00074],[0.000024],[0.000144]]"
-"215","2024-03-01","[[0.000317],[0.000411],[0.000724],[0.000023],[0.000138]]"
-"216","2024-03-02","[[0.000306],[0.000399],[0.000709],[0.000022],[0.000132]]"
-"217","2024-03-03","[[0.000296],[0.000388],[0.000693],[0.000021],[0.000126]]"
-"218","2024-03-04","[[0.000286],[0.000377],[0.000678],[0.00002],[0.00012]]"
-"219","2024-03-05","[[0.000276],[0.000367],[0.000663],[0.000019],[0.000115]]"
-"220","2024-03-06","[[0.000267],[0.000356],[0.000648],[0.000018],[0.00011]]"
-"221","2024-03-07","[[0.000258],[0.000346],[0.000634],[0.000017],[0.000105]]"
-"222","2024-03-08","[[0.00025],[0.000336],[0.00062],[0.000016],[0.000101]]"
-"223","2024-03-09","[[0.000241],[0.000327],[0.000606],[0.000015],[0.000096]]"
-"224","2024-03-10","[[0.000233],[0.000318],[0.000593],[0.000014],[0.000092]]"
-"225","2024-03-11","[[0.000225],[0.000309],[0.00058],[0.000013],[0.000088]]"
-"226","2024-03-12","[[0.000218],[0.0003],[0.000567],[0.000013],[0.000084]]"
-"227","2024-03-13","[[0.000211],[0.000291],[0.000554],[0.000012],[0.00008]]"
-"228","2024-03-14","[[0.000203],[0.000283],[0.000541],[0.000011],[0.000077]]"
-"229","2024-03-15","[[0.000197],[0.000275],[0.000529],[0.000011],[0.000074]]"
-"230","2024-03-16","[[0.00019],[0.000267],[0.000517],[0.00001],[0.00007]]"
-"231","2024-03-17","[[0.000184],[0.000259],[0.000505],[0.00001],[0.000067]]"
-"232","2024-03-18","[[0.000178],[0.000252],[0.000494],[0.000009],[0.000064]]"
-"233","2024-03-19","[[0.000172],[0.000245],[0.000483],[0.000009],[0.000061]]"
-"234","2024-03-20","[[0.000166],[0.000238],[0.000472],[0.000008],[0.000059]]"
-"235","2024-03-21","[[0.00016],[0.000231],[0.000461],[0.000008],[0.000056]]"
-"236","2024-03-22","[[0.000155],[0.000224],[0.00045],[0.000007],[0.000054]]"
-"237","2024-03-23","[[0.00015],[0.000218],[0.00044],[0.000007],[0.000051]]"
-"238","2024-03-24","[[0.000145],[0.000212],[0.00043],[0.000007],[0.000049]]"
-"239","2024-03-25","[[0.00014],[0.000206],[0.00042],[0.000006],[0.000047]]"
-"240","2024-03-26","[[0.000135],[0.0002],[0.00041],[0.000006],[0.000045]]"
-"241","2024-03-27","[[0.00013],[0.000194],[0.0004],[0.000006],[0.000043]]"
-"242","2024-03-28","[[0.000126],[0.000188],[0.000391],[0.000005],[0.000041]]"
-"243","2024-03-29","[[0.000122],[0.000183],[0.000382],[0.000005],[0.000039]]"
-"244","2024-03-30","[[0.000118],[0.000178],[0.000373],[0.000005],[0.000038]]"
-"245","2024-03-31","[[0.000114],[0.000173],[0.000364],[0.000005],[0.000036]]"
-"246","2024-04-01","[[0.00011],[0.000168],[0.000356],[0.000004],[0.000034]]"
-"247","2024-04-02","[[0.000106],[0.000163],[0.000348],[0.000004],[0.000033]]"
-"248","2024-04-03","[[0.000103],[0.000158],[0.000339],[0.000004],[0.000031]]"
-"249","2024-04-04","[[0.000099],[0.000154],[0.000331],[0.000004],[0.00003]]"
-"250","2024-04-05","[[0.000096],[0.000149],[0.000324],[0.000003],[0.000029]]"
-"251","2024-04-06","[[0.000093],[0.000145],[0.000316],[0.000003],[0.000027]]"
-"252","2024-04-07","[[0.000089],[0.000141],[0.000309],[0.000003],[0.000026]]"
-"253","2024-04-08","[[0.000086],[0.000137],[0.000301],[0.000003],[0.000025]]"
-"254","2024-04-09","[[0.000083],[0.000133],[0.000294],[0.000003],[0.000024]]"
-"255","2024-04-10","[[0.000081],[0.000129],[0.000287],[0.000003],[0.000023]]"
-"256","2024-04-11","[[0.000078],[0.000125],[0.00028],[0.000003],[0.000022]]"
-"257","2024-04-12","[[0.000075],[0.000121],[0.000274],[0.000002],[0.000021]]"
-"258","2024-04-13","[[0.000073],[0.000118],[0.000267],[0.000002],[0.00002]]"
-"259","2024-04-14","[[0.00007],[0.000115],[0.000261],[0.000002],[0.000019]]"
-"260","2024-04-15","[[0.000068],[0.000111],[0.000255],[0.000002],[0.000018]]"
-"261","2024-04-16","[[0.000066],[0.000108],[0.000248],[0.000002],[0.000017]]"
-"262","2024-04-17","[[0.000063],[0.000105],[0.000242],[0.000002],[0.000017]]"
-"263","2024-04-18","[[0.000061],[0.000102],[0.000237],[0.000002],[0.000016]]"
-"264","2024-04-19","[[0.000059],[0.000099],[0.000231],[0.000002],[0.000015]]"
-"265","2024-04-20","[[0.000057],[0.000096],[0.000225],[0.000002],[0.000015]]"
-"266","2024-04-21","[[0.000055],[0.000093],[0.00022],[0.000001],[0.000014]]"
-"267","2024-04-22","[[0.000053],[0.000091],[0.000215],[0.000001],[0.000013]]"
-"268","2024-04-23","[[0.000052],[0.000088],[0.00021],[0.000001],[0.000013]]"
-"269","2024-04-24","[[0.00005],[0.000085],[0.000205],[0.000001],[0.000012]]"
-"270","2024-04-25","[[0.000048],[0.000083],[0.0002],[0.000001],[0.000012]]"
-"271","2024-04-26","[[0.000046],[0.00008],[0.000195],[0.000001],[0.000011]]"
-"272","2024-04-27","[[0.000045],[0.000078],[0.00019],[0.000001],[0.000011]]"
-"273","2024-04-28","[[0.000043],[0.000076],[0.000185],[0.000001],[0.00001]]"
-"274","2024-04-29","[[0.000042],[0.000074],[0.000181],[0.000001],[0.00001]]"
-"275","2024-04-30","[[0.00004],[0.000072],[0.000177],[0.000001],[0.000009]]"
-"276","2024-05-01","[[0.000039],[0.000069],[0.000172],[0.000001],[0.000009]]"
-"277","2024-05-02","[[0.000038],[0.000067],[0.000168],[0.000001],[0.000009]]"
-"278","2024-05-03","[[0.000036],[0.000065],[0.000164],[0.000001],[0.000008]]"
-"279","2024-05-04","[[0.000035],[0.000064],[0.00016],[0.000001],[0.000008]]"
-"280","2024-05-05","[[0.000034],[0.000062],[0.000156],[0.000001],[0.000007]]"
-"281","2024-05-06","[[0.000033],[0.00006],[0.000152],[0.000001],[0.000007]]"
-"282","2024-05-07","[[0.000032],[0.000058],[0.000149],[0.000001],[0.000007]]"
-"283","2024-05-08","[[0.000031],[0.000056],[0.000145],[0.000001],[0.000007]]"
-"284","2024-05-09","[[0.00003],[0.000055],[0.000142],[0.000001],[0.000006]]"
-"285","2024-05-10","[[0.000029],[0.000053],[0.000138],[0.000001],[0.000006]]"
-"286","2024-05-11","[[0.000028],[0.000052],[0.000135],[0],[0.000006]]"
-"287","2024-05-12","[[0.000027],[0.00005],[0.000131],[0],[0.000005]]"
-"288","2024-05-13","[[0.000026],[0.000049],[0.000128],[0],[0.000005]]"
-"289","2024-05-14","[[0.000025],[0.000047],[0.000125],[0],[0.000005]]"
-"290","2024-05-15","[[0.000024],[0.000046],[0.000122],[0],[0.000005]]"
-"291","2024-05-16","[[0.000023],[0.000045],[0.000119],[0],[0.000005]]"
-"292","2024-05-17","[[0.000023],[0.000043],[0.000116],[0],[0.000004]]"
-"293","2024-05-18","[[0.000022],[0.000042],[0.000113],[0],[0.000004]]"
-"294","2024-05-19","[[0.000021],[0.000041],[0.00011],[0],[0.000004]]"
-"295","2024-05-20","[[0.00002],[0.00004],[0.000108],[0],[0.000004]]"
-"296","2024-05-21","[[0.00002],[0.000038],[0.000105],[0],[0.000004]]"
-"297","2024-05-22","[[0.000019],[0.000037],[0.000103],[0],[0.000003]]"
-"298","2024-05-23","[[0.000018],[0.000036],[0.0001],[0],[0.000003]]"
-"299","2024-05-24","[[0.000018],[0.000035],[0.000098],[0],[0.000003]]"
-"300","2024-05-25","[[0.000017],[0.000034],[0.000095],[0],[0.000003]]"
-"301","2024-05-26","[[0.000016],[0.000033],[0.000093],[0],[0.000003]]"
-"302","2024-05-27","[[0.000016],[0.000032],[0.000091],[0],[0.000003]]"
-"303","2024-05-28","[[0.000015],[0.000031],[0.000088],[0],[0.000003]]"
-"304","2024-05-29","[[0.000015],[0.00003],[0.000086],[0],[0.000003]]"
-"305","2024-05-30","[[0.000014],[0.000029],[0.000084],[0],[0.000002]]"
-"306","2024-05-31","[[0.000014],[0.000029],[0.000082],[0],[0.000002]]"
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+"2","2023-08-01","[[0.001421, 0.001421],[0.001643, 0.001643],[0.000653, 0.000653],[0.000306, 0.000306],[0.000813, 0.000813]]"
+"3","2023-08-02","[[0.001465, 0.001465],[0.001684, 0.001684],[0.000668, 0.000668],[0.000323, 0.000323],[0.000849, 0.000849]]"
+"4","2023-08-03","[[0.001511, 0.001511],[0.001725, 0.001725],[0.000683, 0.000683],[0.00034, 0.00034],[0.000886, 0.000886]]"
+"5","2023-08-04","[[0.001558, 0.001558],[0.001768, 0.001768],[0.000698, 0.000698],[0.000358, 0.000358],[0.000925, 0.000925]]"
+"6","2023-08-05","[[0.001606, 0.001606],[0.001812, 0.001812],[0.000714, 0.000714],[0.000378, 0.000378],[0.000966, 0.000966]]"
+"7","2023-08-06","[[0.001656, 0.001656],[0.001856, 0.001856],[0.00073, 0.00073],[0.000398, 0.000398],[0.001008, 0.001008]]"
+"8","2023-08-07","[[0.001707, 0.001707],[0.001901, 0.001901],[0.000746, 0.000746],[0.00042, 0.00042],[0.001052, 0.001052]]"
+"9","2023-08-08","[[0.001759, 0.001759],[0.001947, 0.001947],[0.000762, 0.000762],[0.000442, 0.000442],[0.001097, 0.001097]]"
+"10","2023-08-09","[[0.001813, 0.001813],[0.001993, 0.001993],[0.000779, 0.000779],[0.000466, 0.000466],[0.001145, 0.001145]]"
+"11","2023-08-10","[[0.001867, 0.001867],[0.00204, 0.00204],[0.000796, 0.000796],[0.000491, 0.000491],[0.001195, 0.001195]]"
+"12","2023-08-11","[[0.001924, 0.001924],[0.002089, 0.002089],[0.000813, 0.000813],[0.000517, 0.000517],[0.001246, 0.001246]]"
+"13","2023-08-12","[[0.001981, 0.001981],[0.002137, 0.002137],[0.000831, 0.000831],[0.000545, 0.000545],[0.0013, 0.0013]]"
+"14","2023-08-13","[[0.00204, 0.00204],[0.002187, 0.002187],[0.000849, 0.000849],[0.000574, 0.000574],[0.001355, 0.001355]]"
+"15","2023-08-14","[[0.002101, 0.002101],[0.002238, 0.002238],[0.000867, 0.000867],[0.000605, 0.000605],[0.001413, 0.001413]]"
+"16","2023-08-15","[[0.002162, 0.002162],[0.002289, 0.002289],[0.000886, 0.000886],[0.000637, 0.000637],[0.001474, 0.001474]]"
+"17","2023-08-16","[[0.002225, 0.002225],[0.002341, 0.002341],[0.000904, 0.000904],[0.00067, 0.00067],[0.001536, 0.001536]]"
+"18","2023-08-17","[[0.00229, 0.00229],[0.002393, 0.002393],[0.000924, 0.000924],[0.000706, 0.000706],[0.001601, 0.001601]]"
+"19","2023-08-18","[[0.002356, 0.002356],[0.002447, 0.002447],[0.000943, 0.000943],[0.000743, 0.000743],[0.001668, 0.001668]]"
+"20","2023-08-19","[[0.002423, 0.002423],[0.002501, 0.002501],[0.000963, 0.000963],[0.000782, 0.000782],[0.001738, 0.001738]]"
+"21","2023-08-20","[[0.002492, 0.002492],[0.002555, 0.002555],[0.000983, 0.000983],[0.000822, 0.000822],[0.001811, 0.001811]]"
+"22","2023-08-21","[[0.002563, 0.002563],[0.002611, 0.002611],[0.001003, 0.001003],[0.000865, 0.000865],[0.001886, 0.001886]]"
+"23","2023-08-22","[[0.002634, 0.002634],[0.002667, 0.002667],[0.001024, 0.001024],[0.00091, 0.00091],[0.001964, 0.001964]]"
+"24","2023-08-23","[[0.002707, 0.002707],[0.002723, 0.002723],[0.001045, 0.001045],[0.000957, 0.000957],[0.002045, 0.002045]]"
+"25","2023-08-24","[[0.002782, 0.002782],[0.00278, 0.00278],[0.001066, 0.001066],[0.001006, 0.001006],[0.002129, 0.002129]]"
+"26","2023-08-25","[[0.002858, 0.002858],[0.002838, 0.002838],[0.001088, 0.001088],[0.001058, 0.001058],[0.002216, 0.002216]]"
+"27","2023-08-26","[[0.002935, 0.002935],[0.002896, 0.002896],[0.00111, 0.00111],[0.001111, 0.001111],[0.002306, 0.002306]]"
+"28","2023-08-27","[[0.003014, 0.003014],[0.002955, 0.002955],[0.001132, 0.001132],[0.001168, 0.001168],[0.002399, 0.002399]]"
+"29","2023-08-28","[[0.003093, 0.003093],[0.003014, 0.003014],[0.001155, 0.001155],[0.001227, 0.001227],[0.002495, 0.002495]]"
+"30","2023-08-29","[[0.003175, 0.003175],[0.003074, 0.003074],[0.001177, 0.001177],[0.001288, 0.001288],[0.002594, 0.002594]]"
+"31","2023-08-30","[[0.003257, 0.003257],[0.003134, 0.003134],[0.0012, 0.0012],[0.001352, 0.001352],[0.002697, 0.002697]]"
+"32","2023-08-31","[[0.003341, 0.003341],[0.003194, 0.003194],[0.001224, 0.001224],[0.001419, 0.001419],[0.002802, 0.002802]]"
+"33","2023-09-01","[[0.003426, 0.003426],[0.003255, 0.003255],[0.001248, 0.001248],[0.001489, 0.001489],[0.002912, 0.002912]]"
+"34","2023-09-02","[[0.003512, 0.003512],[0.003316, 0.003316],[0.001272, 0.001272],[0.001562, 0.001562],[0.003024, 0.003024]]"
+"35","2023-09-03","[[0.003599, 0.003599],[0.003377, 0.003377],[0.001296, 0.001296],[0.001638, 0.001638],[0.00314, 0.00314]]"
+"36","2023-09-04","[[0.003687, 0.003687],[0.003438, 0.003438],[0.00132, 0.00132],[0.001717, 0.001717],[0.00326, 0.00326]]"
+"37","2023-09-05","[[0.003776, 0.003776],[0.0035, 0.0035],[0.001345, 0.001345],[0.001799, 0.001799],[0.003383, 0.003383]]"
+"38","2023-09-06","[[0.003866, 0.003866],[0.003561, 0.003561],[0.00137, 0.00137],[0.001884, 0.001884],[0.003509, 0.003509]]"
+"39","2023-09-07","[[0.003957, 0.003957],[0.003623, 0.003623],[0.001396, 0.001396],[0.001972, 0.001972],[0.003639, 0.003639]]"
+"40","2023-09-08","[[0.004049, 0.004049],[0.003684, 0.003684],[0.001421, 0.001421],[0.002064, 0.002064],[0.003772, 0.003772]]"
+"41","2023-09-09","[[0.004141, 0.004141],[0.003746, 0.003746],[0.001447, 0.001447],[0.002159, 0.002159],[0.003909, 0.003909]]"
+"42","2023-09-10","[[0.004234, 0.004234],[0.003807, 0.003807],[0.001473, 0.001473],[0.002257, 0.002257],[0.004049, 0.004049]]"
+"43","2023-09-11","[[0.004328, 0.004328],[0.003868, 0.003868],[0.001499, 0.001499],[0.002359, 0.002359],[0.004193, 0.004193]]"
+"44","2023-09-12","[[0.004422, 0.004422],[0.003929, 0.003929],[0.001526, 0.001526],[0.002464, 0.002464],[0.00434, 0.00434]]"
+"45","2023-09-13","[[0.004517, 0.004517],[0.00399, 0.00399],[0.001553, 0.001553],[0.002572, 0.002572],[0.00449, 0.00449]]"
+"46","2023-09-14","[[0.004611, 0.004611],[0.00405, 0.00405],[0.001579, 0.001579],[0.002684, 0.002684],[0.004643, 0.004643]]"
+"47","2023-09-15","[[0.004706, 0.004706],[0.00411, 0.00411],[0.001607, 0.001607],[0.002799, 0.002799],[0.004799, 0.004799]]"
+"48","2023-09-16","[[0.004801, 0.004801],[0.004169, 0.004169],[0.001634, 0.001634],[0.002917, 0.002917],[0.004959, 0.004959]]"
+"49","2023-09-17","[[0.004896, 0.004896],[0.004227, 0.004227],[0.001661, 0.001661],[0.003038, 0.003038],[0.005121, 0.005121]]"
+"50","2023-09-18","[[0.004991, 0.004991],[0.004285, 0.004285],[0.001689, 0.001689],[0.003162, 0.003162],[0.005285, 0.005285]]"
+"51","2023-09-19","[[0.005086, 0.005086],[0.004342, 0.004342],[0.001716, 0.001716],[0.003288, 0.003288],[0.005452, 0.005452]]"
+"52","2023-09-20","[[0.00518, 0.00518],[0.004399, 0.004399],[0.001744, 0.001744],[0.003418, 0.003418],[0.005622, 0.005622]]"
+"53","2023-09-21","[[0.005273, 0.005273],[0.004454, 0.004454],[0.001772, 0.001772],[0.00355, 0.00355],[0.005793, 0.005793]]"
+"54","2023-09-22","[[0.005366, 0.005366],[0.004509, 0.004509],[0.0018, 0.0018],[0.003684, 0.003684],[0.005966, 0.005966]]"
+"55","2023-09-23","[[0.005458, 0.005458],[0.004563, 0.004563],[0.001828, 0.001828],[0.00382, 0.00382],[0.006141, 0.006141]]"
+"56","2023-09-24","[[0.005549, 0.005549],[0.004615, 0.004615],[0.001857, 0.001857],[0.003958, 0.003958],[0.006317, 0.006317]]"
+"57","2023-09-25","[[0.005639, 0.005639],[0.004667, 0.004667],[0.001885, 0.001885],[0.004098, 0.004098],[0.006494, 0.006494]]"
+"58","2023-09-26","[[0.005727, 0.005727],[0.004717, 0.004717],[0.001913, 0.001913],[0.004239, 0.004239],[0.006672, 0.006672]]"
+"59","2023-09-27","[[0.005815, 0.005815],[0.004766, 0.004766],[0.001941, 0.001941],[0.00438, 0.00438],[0.006851, 0.006851]]"
+"60","2023-09-28","[[0.0059, 0.0059],[0.004813, 0.004813],[0.00197, 0.00197],[0.004522, 0.004522],[0.007029, 0.007029]]"
+"61","2023-09-29","[[0.005984, 0.005984],[0.004859, 0.004859],[0.001998, 0.001998],[0.004664, 0.004664],[0.007207, 0.007207]]"
+"62","2023-09-30","[[0.006066, 0.006066],[0.004904, 0.004904],[0.002026, 0.002026],[0.004806, 0.004806],[0.007384, 0.007384]]"
+"63","2023-10-01","[[0.006146, 0.006146],[0.004946, 0.004946],[0.002054, 0.002054],[0.004947, 0.004947],[0.00756, 0.00756]]"
+"64","2023-10-02","[[0.006224, 0.006224],[0.004988, 0.004988],[0.002082, 0.002082],[0.005086, 0.005086],[0.007735, 0.007735]]"
+"65","2023-10-03","[[0.0063, 0.0063],[0.005027, 0.005027],[0.00211, 0.00211],[0.005224, 0.005224],[0.007907, 0.007907]]"
+"66","2023-10-04","[[0.006373, 0.006373],[0.005065, 0.005065],[0.002138, 0.002138],[0.00536, 0.00536],[0.008077, 0.008077]]"
+"67","2023-10-05","[[0.006444, 0.006444],[0.005101, 0.005101],[0.002166, 0.002166],[0.005493, 0.005493],[0.008245, 0.008245]]"
+"68","2023-10-06","[[0.006512, 0.006512],[0.005135, 0.005135],[0.002193, 0.002193],[0.005622, 0.005622],[0.008409, 0.008409]]"
+"69","2023-10-07","[[0.006577, 0.006577],[0.005168, 0.005168],[0.002221, 0.002221],[0.005747, 0.005747],[0.008569, 0.008569]]"
+"70","2023-10-08","[[0.006639, 0.006639],[0.005198, 0.005198],[0.002248, 0.002248],[0.005868, 0.005868],[0.008725, 0.008725]]"
+"71","2023-10-09","[[0.006698, 0.006698],[0.005226, 0.005226],[0.002275, 0.002275],[0.005984, 0.005984],[0.008876, 0.008876]]"
+"72","2023-10-10","[[0.006753, 0.006753],[0.005252, 0.005252],[0.002302, 0.002302],[0.006095, 0.006095],[0.009021, 0.009021]]"
+"73","2023-10-11","[[0.006805, 0.006805],[0.005276, 0.005276],[0.002328, 0.002328],[0.006199, 0.006199],[0.009162, 0.009162]]"
+"74","2023-10-12","[[0.006854, 0.006854],[0.005298, 0.005298],[0.002354, 0.002354],[0.006297, 0.006297],[0.009295, 0.009295]]"
+"75","2023-10-13","[[0.006899, 0.006899],[0.005317, 0.005317],[0.00238, 0.00238],[0.006387, 0.006387],[0.009423, 0.009423]]"
+"76","2023-10-14","[[0.00694, 0.00694],[0.005334, 0.005334],[0.002405, 0.002405],[0.00647, 0.00647],[0.009543, 0.009543]]"
+"77","2023-10-15","[[0.006978, 0.006978],[0.005349, 0.005349],[0.00243, 0.00243],[0.006545, 0.006545],[0.009656, 0.009656]]"
+"78","2023-10-16","[[0.007011, 0.007011],[0.005362, 0.005362],[0.002455, 0.002455],[0.006611, 0.006611],[0.00976, 0.00976]]"
+"79","2023-10-17","[[0.007041, 0.007041],[0.005373, 0.005373],[0.002479, 0.002479],[0.006669, 0.006669],[0.009857, 0.009857]]"
+"80","2023-10-18","[[0.007066, 0.007066],[0.005381, 0.005381],[0.002503, 0.002503],[0.006718, 0.006718],[0.009944, 0.009944]]"
+"81","2023-10-19","[[0.007088, 0.007088],[0.005386, 0.005386],[0.002526, 0.002526],[0.006757, 0.006757],[0.010023, 0.010023]]"
+"82","2023-10-20","[[0.007105, 0.007105],[0.00539, 0.00539],[0.002549, 0.002549],[0.006786, 0.006786],[0.010093, 0.010093]]"
+"83","2023-10-21","[[0.007118, 0.007118],[0.005391, 0.005391],[0.002571, 0.002571],[0.006806, 0.006806],[0.010152, 0.010152]]"
+"84","2023-10-22","[[0.007127, 0.007127],[0.005389, 0.005389],[0.002593, 0.002593],[0.006815, 0.006815],[0.010202, 0.010202]]"
+"85","2023-10-23","[[0.007131, 0.007131],[0.005385, 0.005385],[0.002614, 0.002614],[0.006815, 0.006815],[0.010243, 0.010243]]"
+"86","2023-10-24","[[0.007132, 0.007132],[0.005379, 0.005379],[0.002635, 0.002635],[0.006805, 0.006805],[0.010272, 0.010272]]"
+"87","2023-10-25","[[0.007128, 0.007128],[0.005371, 0.005371],[0.002655, 0.002655],[0.006785, 0.006785],[0.010292, 0.010292]]"
+"88","2023-10-26","[[0.00712, 0.00712],[0.00536, 0.00536],[0.002674, 0.002674],[0.006754, 0.006754],[0.010301, 0.010301]]"
+"89","2023-10-27","[[0.007107, 0.007107],[0.005347, 0.005347],[0.002693, 0.002693],[0.006715, 0.006715],[0.0103, 0.0103]]"
+"90","2023-10-28","[[0.00709, 0.00709],[0.005331, 0.005331],[0.002711, 0.002711],[0.006666, 0.006666],[0.010288, 0.010288]]"
+"91","2023-10-29","[[0.00707, 0.00707],[0.005313, 0.005313],[0.002728, 0.002728],[0.006608, 0.006608],[0.010266, 0.010266]]"
+"92","2023-10-30","[[0.007045, 0.007045],[0.005293, 0.005293],[0.002745, 0.002745],[0.006541, 0.006541],[0.010234, 0.010234]]"
+"93","2023-10-31","[[0.007016, 0.007016],[0.005271, 0.005271],[0.00276, 0.00276],[0.006465, 0.006465],[0.010191, 0.010191]]"
+"94","2023-11-01","[[0.006982, 0.006982],[0.005247, 0.005247],[0.002776, 0.002776],[0.006382, 0.006382],[0.010139, 0.010139]]"
+"95","2023-11-02","[[0.006946, 0.006946],[0.00522, 0.00522],[0.00279, 0.00279],[0.006291, 0.006291],[0.010077, 0.010077]]"
+"96","2023-11-03","[[0.006905, 0.006905],[0.005192, 0.005192],[0.002804, 0.002804],[0.006193, 0.006193],[0.010005, 0.010005]]"
+"97","2023-11-04","[[0.00686, 0.00686],[0.005161, 0.005161],[0.002816, 0.002816],[0.006088, 0.006088],[0.009924, 0.009924]]"
+"98","2023-11-05","[[0.006812, 0.006812],[0.005129, 0.005129],[0.002828, 0.002828],[0.005977, 0.005977],[0.009834, 0.009834]]"
+"99","2023-11-06","[[0.00676, 0.00676],[0.005094, 0.005094],[0.002839, 0.002839],[0.005861, 0.005861],[0.009736, 0.009736]]"
+"100","2023-11-07","[[0.006705, 0.006705],[0.005058, 0.005058],[0.00285, 0.00285],[0.00574, 0.00574],[0.009629, 0.009629]]"
+"101","2023-11-08","[[0.006647, 0.006647],[0.00502, 0.00502],[0.002859, 0.002859],[0.005614, 0.005614],[0.009515, 0.009515]]"
+"102","2023-11-09","[[0.006585, 0.006585],[0.00498, 0.00498],[0.002867, 0.002867],[0.005484, 0.005484],[0.009393, 0.009393]]"
+"103","2023-11-10","[[0.006521, 0.006521],[0.004938, 0.004938],[0.002875, 0.002875],[0.005351, 0.005351],[0.009264, 0.009264]]"
+"104","2023-11-11","[[0.006453, 0.006453],[0.004895, 0.004895],[0.002882, 0.002882],[0.005216, 0.005216],[0.009128, 0.009128]]"
+"105","2023-11-12","[[0.006383, 0.006383],[0.00485, 0.00485],[0.002888, 0.002888],[0.005078, 0.005078],[0.008987, 0.008987]]"
+"106","2023-11-13","[[0.00631, 0.00631],[0.004804, 0.004804],[0.002893, 0.002893],[0.004938, 0.004938],[0.00884, 0.00884]]"
+"107","2023-11-14","[[0.006235, 0.006235],[0.004756, 0.004756],[0.002897, 0.002897],[0.004797, 0.004797],[0.008688, 0.008688]]"
+"108","2023-11-15","[[0.006157, 0.006157],[0.004707, 0.004707],[0.0029, 0.0029],[0.004655, 0.004655],[0.008531, 0.008531]]"
+"109","2023-11-16","[[0.006077, 0.006077],[0.004656, 0.004656],[0.002902, 0.002902],[0.004513, 0.004513],[0.00837, 0.00837]]"
+"110","2023-11-17","[[0.005996, 0.005996],[0.004605, 0.004605],[0.002903, 0.002903],[0.004371, 0.004371],[0.008205, 0.008205]]"
+"111","2023-11-18","[[0.005912, 0.005912],[0.004552, 0.004552],[0.002903, 0.002903],[0.00423, 0.00423],[0.008037, 0.008037]]"
+"112","2023-11-19","[[0.005826, 0.005826],[0.004498, 0.004498],[0.002903, 0.002903],[0.004089, 0.004089],[0.007866, 0.007866]]"
+"113","2023-11-20","[[0.005739, 0.005739],[0.004443, 0.004443],[0.002901, 0.002901],[0.00395, 0.00395],[0.007693, 0.007693]]"
+"114","2023-11-21","[[0.005651, 0.005651],[0.004388, 0.004388],[0.002899, 0.002899],[0.003812, 0.003812],[0.007518, 0.007518]]"
+"115","2023-11-22","[[0.005561, 0.005561],[0.004331, 0.004331],[0.002895, 0.002895],[0.003676, 0.003676],[0.007342, 0.007342]]"
+"116","2023-11-23","[[0.00547, 0.00547],[0.004274, 0.004274],[0.002891, 0.002891],[0.003541, 0.003541],[0.007164, 0.007164]]"
+"117","2023-11-24","[[0.005378, 0.005378],[0.004216, 0.004216],[0.002886, 0.002886],[0.00341, 0.00341],[0.006986, 0.006986]]"
+"118","2023-11-25","[[0.005286, 0.005286],[0.004157, 0.004157],[0.00288, 0.00288],[0.00328, 0.00328],[0.006808, 0.006808]]"
+"119","2023-11-26","[[0.005192, 0.005192],[0.004098, 0.004098],[0.002873, 0.002873],[0.003154, 0.003154],[0.00663, 0.00663]]"
+"120","2023-11-27","[[0.005098, 0.005098],[0.004038, 0.004038],[0.002865, 0.002865],[0.00303, 0.00303],[0.006452, 0.006452]]"
+"121","2023-11-28","[[0.005004, 0.005004],[0.003977, 0.003977],[0.002856, 0.002856],[0.002909, 0.002909],[0.006275, 0.006275]]"
+"122","2023-11-29","[[0.004909, 0.004909],[0.003917, 0.003917],[0.002846, 0.002846],[0.002791, 0.002791],[0.006099, 0.006099]]"
+"123","2023-11-30","[[0.004814, 0.004814],[0.003856, 0.003856],[0.002836, 0.002836],[0.002677, 0.002677],[0.005925, 0.005925]]"
+"124","2023-12-01","[[0.004719, 0.004719],[0.003795, 0.003795],[0.002824, 0.002824],[0.002565, 0.002565],[0.005752, 0.005752]]"
+"125","2023-12-02","[[0.004624, 0.004624],[0.003733, 0.003733],[0.002812, 0.002812],[0.002457, 0.002457],[0.005581, 0.005581]]"
+"126","2023-12-03","[[0.00453, 0.00453],[0.003672, 0.003672],[0.002799, 0.002799],[0.002352, 0.002352],[0.005412, 0.005412]]"
+"127","2023-12-04","[[0.004435, 0.004435],[0.00361, 0.00361],[0.002785, 0.002785],[0.002251, 0.002251],[0.005245, 0.005245]]"
+"128","2023-12-05","[[0.004341, 0.004341],[0.003549, 0.003549],[0.002771, 0.002771],[0.002153, 0.002153],[0.005081, 0.005081]]"
+"129","2023-12-06","[[0.004247, 0.004247],[0.003487, 0.003487],[0.002755, 0.002755],[0.002058, 0.002058],[0.00492, 0.00492]]"
+"130","2023-12-07","[[0.004154, 0.004154],[0.003426, 0.003426],[0.002739, 0.002739],[0.001967, 0.001967],[0.004762, 0.004762]]"
+"131","2023-12-08","[[0.004061, 0.004061],[0.003364, 0.003364],[0.002722, 0.002722],[0.001878, 0.001878],[0.004606, 0.004606]]"
+"132","2023-12-09","[[0.00397, 0.00397],[0.003303, 0.003303],[0.002705, 0.002705],[0.001793, 0.001793],[0.004454, 0.004454]]"
+"133","2023-12-10","[[0.003879, 0.003879],[0.003242, 0.003242],[0.002686, 0.002686],[0.001712, 0.001712],[0.004304, 0.004304]]"
+"134","2023-12-11","[[0.003788, 0.003788],[0.003182, 0.003182],[0.002668, 0.002668],[0.001633, 0.001633],[0.004158, 0.004158]]"
+"135","2023-12-12","[[0.003699, 0.003699],[0.003122, 0.003122],[0.002648, 0.002648],[0.001557, 0.001557],[0.004015, 0.004015]]"
+"136","2023-12-13","[[0.003611, 0.003611],[0.003062, 0.003062],[0.002628, 0.002628],[0.001485, 0.001485],[0.003876, 0.003876]]"
+"137","2023-12-14","[[0.003524, 0.003524],[0.003002, 0.003002],[0.002607, 0.002607],[0.001415, 0.001415],[0.00374, 0.00374]]"
+"138","2023-12-15","[[0.003437, 0.003437],[0.002943, 0.002943],[0.002586, 0.002586],[0.001348, 0.001348],[0.003608, 0.003608]]"
+"139","2023-12-16","[[0.003352, 0.003352],[0.002884, 0.002884],[0.002564, 0.002564],[0.001284, 0.001284],[0.003479, 0.003479]]"
+"140","2023-12-17","[[0.003268, 0.003268],[0.002826, 0.002826],[0.002541, 0.002541],[0.001223, 0.001223],[0.003353, 0.003353]]"
+"141","2023-12-18","[[0.003186, 0.003186],[0.002769, 0.002769],[0.002518, 0.002518],[0.001164, 0.001164],[0.003231, 0.003231]]"
+"142","2023-12-19","[[0.003104, 0.003104],[0.002712, 0.002712],[0.002495, 0.002495],[0.001108, 0.001108],[0.003112, 0.003112]]"
+"143","2023-12-20","[[0.003024, 0.003024],[0.002655, 0.002655],[0.002471, 0.002471],[0.001054, 0.001054],[0.002997, 0.002997]]"
+"144","2023-12-21","[[0.002946, 0.002946],[0.002599, 0.002599],[0.002447, 0.002447],[0.001003, 0.001003],[0.002885, 0.002885]]"
+"145","2023-12-22","[[0.002868, 0.002868],[0.002544, 0.002544],[0.002422, 0.002422],[0.000954, 0.000954],[0.002777, 0.002777]]"
+"146","2023-12-23","[[0.002792, 0.002792],[0.00249, 0.00249],[0.002397, 0.002397],[0.000907, 0.000907],[0.002672, 0.002672]]"
+"147","2023-12-24","[[0.002717, 0.002717],[0.002436, 0.002436],[0.002371, 0.002371],[0.000862, 0.000862],[0.00257, 0.00257]]"
+"148","2023-12-25","[[0.002644, 0.002644],[0.002383, 0.002383],[0.002345, 0.002345],[0.00082, 0.00082],[0.002471, 0.002471]]"
+"149","2023-12-26","[[0.002572, 0.002572],[0.00233, 0.00233],[0.002319, 0.002319],[0.000779, 0.000779],[0.002376, 0.002376]]"
+"150","2023-12-27","[[0.002502, 0.002502],[0.002278, 0.002278],[0.002293, 0.002293],[0.00074, 0.00074],[0.002284, 0.002284]]"
+"151","2023-12-28","[[0.002433, 0.002433],[0.002227, 0.002227],[0.002266, 0.002266],[0.000703, 0.000703],[0.002195, 0.002195]]"
+"152","2023-12-29","[[0.002365, 0.002365],[0.002177, 0.002177],[0.002239, 0.002239],[0.000668, 0.000668],[0.002109, 0.002109]]"
+"153","2023-12-30","[[0.002299, 0.002299],[0.002128, 0.002128],[0.002212, 0.002212],[0.000634, 0.000634],[0.002026, 0.002026]]"
+"154","2023-12-31","[[0.002234, 0.002234],[0.002079, 0.002079],[0.002184, 0.002184],[0.000603, 0.000603],[0.001945, 0.001945]]"
+"155","2024-01-01","[[0.002171, 0.002171],[0.002031, 0.002031],[0.002157, 0.002157],[0.000572, 0.000572],[0.001868, 0.001868]]"
+"156","2024-01-02","[[0.002109, 0.002109],[0.001984, 0.001984],[0.002129, 0.002129],[0.000543, 0.000543],[0.001793, 0.001793]]"
+"157","2024-01-03","[[0.002048, 0.002048],[0.001937, 0.001937],[0.002101, 0.002101],[0.000516, 0.000516],[0.001721, 0.001721]]"
+"158","2024-01-04","[[0.001989, 0.001989],[0.001892, 0.001892],[0.002073, 0.002073],[0.000489, 0.000489],[0.001652, 0.001652]]"
+"159","2024-01-05","[[0.001931, 0.001931],[0.001847, 0.001847],[0.002045, 0.002045],[0.000465, 0.000465],[0.001585, 0.001585]]"
+"160","2024-01-06","[[0.001875, 0.001875],[0.001803, 0.001803],[0.002017, 0.002017],[0.000441, 0.000441],[0.001521, 0.001521]]"
+"161","2024-01-07","[[0.00182, 0.00182],[0.001759, 0.001759],[0.001988, 0.001988],[0.000418, 0.000418],[0.001459, 0.001459]]"
+"162","2024-01-08","[[0.001766, 0.001766],[0.001717, 0.001717],[0.00196, 0.00196],[0.000397, 0.000397],[0.001399, 0.001399]]"
+"163","2024-01-09","[[0.001714, 0.001714],[0.001675, 0.001675],[0.001932, 0.001932],[0.000377, 0.000377],[0.001342, 0.001342]]"
+"164","2024-01-10","[[0.001663, 0.001663],[0.001634, 0.001634],[0.001904, 0.001904],[0.000357, 0.000357],[0.001287, 0.001287]]"
+"165","2024-01-11","[[0.001613, 0.001613],[0.001594, 0.001594],[0.001875, 0.001875],[0.000339, 0.000339],[0.001234, 0.001234]]"
+"166","2024-01-12","[[0.001565, 0.001565],[0.001555, 0.001555],[0.001847, 0.001847],[0.000321, 0.000321],[0.001182, 0.001182]]"
+"167","2024-01-13","[[0.001518, 0.001518],[0.001516, 0.001516],[0.001819, 0.001819],[0.000305, 0.000305],[0.001133, 0.001133]]"
+"168","2024-01-14","[[0.001472, 0.001472],[0.001479, 0.001479],[0.001791, 0.001791],[0.000289, 0.000289],[0.001086, 0.001086]]"
+"169","2024-01-15","[[0.001427, 0.001427],[0.001442, 0.001442],[0.001763, 0.001763],[0.000274, 0.000274],[0.001041, 0.001041]]"
+"170","2024-01-16","[[0.001383, 0.001383],[0.001405, 0.001405],[0.001735, 0.001735],[0.00026, 0.00026],[0.000997, 0.000997]]"
+"171","2024-01-17","[[0.001341, 0.001341],[0.00137, 0.00137],[0.001707, 0.001707],[0.000247, 0.000247],[0.000956, 0.000956]]"
+"172","2024-01-18","[[0.0013, 0.0013],[0.001335, 0.001335],[0.001679, 0.001679],[0.000234, 0.000234],[0.000916, 0.000916]]"
+"173","2024-01-19","[[0.001259, 0.001259],[0.001301, 0.001301],[0.001652, 0.001652],[0.000222, 0.000222],[0.000877, 0.000877]]"
+"174","2024-01-20","[[0.00122, 0.00122],[0.001268, 0.001268],[0.001625, 0.001625],[0.00021, 0.00021],[0.00084, 0.00084]]"
+"175","2024-01-21","[[0.001183, 0.001183],[0.001235, 0.001235],[0.001597, 0.001597],[0.000199, 0.000199],[0.000805, 0.000805]]"
+"176","2024-01-22","[[0.001146, 0.001146],[0.001204, 0.001204],[0.00157, 0.00157],[0.000189, 0.000189],[0.000771, 0.000771]]"
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+"178","2024-01-24","[[0.001075, 0.001075],[0.001142, 0.001142],[0.001517, 0.001517],[0.00017, 0.00017],[0.000707, 0.000707]]"
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+"184","2024-01-30","[[0.000887, 0.000887],[0.000973, 0.000973],[0.001362, 0.001362],[0.000123, 0.000123],[0.000544, 0.000544]]"
+"185","2024-01-31","[[0.000858, 0.000858],[0.000948, 0.000948],[0.001337, 0.001337],[0.000117, 0.000117],[0.000521, 0.000521]]"
+"186","2024-02-01","[[0.000831, 0.000831],[0.000922, 0.000922],[0.001312, 0.001312],[0.000111, 0.000111],[0.000498, 0.000498]]"
+"187","2024-02-02","[[0.000804, 0.000804],[0.000898, 0.000898],[0.001288, 0.001288],[0.000105, 0.000105],[0.000477, 0.000477]]"
+"188","2024-02-03","[[0.000778, 0.000778],[0.000874, 0.000874],[0.001263, 0.001263],[0.000099, 0.000099],[0.000456, 0.000456]]"
+"189","2024-02-04","[[0.000753, 0.000753],[0.00085, 0.00085],[0.00124, 0.00124],[0.000094, 0.000094],[0.000437, 0.000437]]"
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+"191","2024-02-06","[[0.000706, 0.000706],[0.000805, 0.000805],[0.001193, 0.001193],[0.000084, 0.000084],[0.0004, 0.0004]]"
+"192","2024-02-07","[[0.000683, 0.000683],[0.000783, 0.000783],[0.00117, 0.00117],[0.00008, 0.00008],[0.000383, 0.000383]]"
+"193","2024-02-08","[[0.000661, 0.000661],[0.000762, 0.000762],[0.001147, 0.001147],[0.000076, 0.000076],[0.000366, 0.000366]]"
+"194","2024-02-09","[[0.000639, 0.000639],[0.000741, 0.000741],[0.001124, 0.001124],[0.000072, 0.000072],[0.00035, 0.00035]]"
+"195","2024-02-10","[[0.000618, 0.000618],[0.000721, 0.000721],[0.001102, 0.001102],[0.000068, 0.000068],[0.000335, 0.000335]]"
+"196","2024-02-11","[[0.000598, 0.000598],[0.000702, 0.000702],[0.001081, 0.001081],[0.000065, 0.000065],[0.000321, 0.000321]]"
+"197","2024-02-12","[[0.000579, 0.000579],[0.000682, 0.000682],[0.001059, 0.001059],[0.000061, 0.000061],[0.000307, 0.000307]]"
+"198","2024-02-13","[[0.00056, 0.00056],[0.000664, 0.000664],[0.001038, 0.001038],[0.000058, 0.000058],[0.000293, 0.000293]]"
+"199","2024-02-14","[[0.000542, 0.000542],[0.000645, 0.000645],[0.001017, 0.001017],[0.000055, 0.000055],[0.000281, 0.000281]]"
+"200","2024-02-15","[[0.000524, 0.000524],[0.000628, 0.000628],[0.000996, 0.000996],[0.000052, 0.000052],[0.000269, 0.000269]]"
+"201","2024-02-16","[[0.000507, 0.000507],[0.00061, 0.00061],[0.000976, 0.000976],[0.000049, 0.000049],[0.000257, 0.000257]]"
+"202","2024-02-17","[[0.00049, 0.00049],[0.000594, 0.000594],[0.000956, 0.000956],[0.000047, 0.000047],[0.000246, 0.000246]]"
+"203","2024-02-18","[[0.000474, 0.000474],[0.000577, 0.000577],[0.000936, 0.000936],[0.000044, 0.000044],[0.000235, 0.000235]]"
+"204","2024-02-19","[[0.000458, 0.000458],[0.000561, 0.000561],[0.000917, 0.000917],[0.000042, 0.000042],[0.000225, 0.000225]]"
+"205","2024-02-20","[[0.000443, 0.000443],[0.000546, 0.000546],[0.000898, 0.000898],[0.00004, 0.00004],[0.000215, 0.000215]]"
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+"207","2024-02-22","[[0.000414, 0.000414],[0.000516, 0.000516],[0.000861, 0.000861],[0.000036, 0.000036],[0.000197, 0.000197]]"
+"208","2024-02-23","[[0.000401, 0.000401],[0.000501, 0.000501],[0.000843, 0.000843],[0.000034, 0.000034],[0.000188, 0.000188]]"
+"209","2024-02-24","[[0.000388, 0.000388],[0.000487, 0.000487],[0.000825, 0.000825],[0.000032, 0.000032],[0.00018, 0.00018]]"
+"210","2024-02-25","[[0.000375, 0.000375],[0.000474, 0.000474],[0.000807, 0.000807],[0.00003, 0.00003],[0.000172, 0.000172]]"
+"211","2024-02-26","[[0.000362, 0.000362],[0.000461, 0.000461],[0.00079, 0.00079],[0.000029, 0.000029],[0.000165, 0.000165]]"
+"212","2024-02-27","[[0.00035, 0.00035],[0.000448, 0.000448],[0.000773, 0.000773],[0.000027, 0.000027],[0.000157, 0.000157]]"
+"213","2024-02-28","[[0.000339, 0.000339],[0.000435, 0.000435],[0.000757, 0.000757],[0.000026, 0.000026],[0.000151, 0.000151]]"
+"214","2024-02-29","[[0.000327, 0.000327],[0.000423, 0.000423],[0.00074, 0.00074],[0.000024, 0.000024],[0.000144, 0.000144]]"
+"215","2024-03-01","[[0.000317, 0.000317],[0.000411, 0.000411],[0.000724, 0.000724],[0.000023, 0.000023],[0.000138, 0.000138]]"
+"216","2024-03-02","[[0.000306, 0.000306],[0.000399, 0.000399],[0.000709, 0.000709],[0.000022, 0.000022],[0.000132, 0.000132]]"
+"217","2024-03-03","[[0.000296, 0.000296],[0.000388, 0.000388],[0.000693, 0.000693],[0.000021, 0.000021],[0.000126, 0.000126]]"
+"218","2024-03-04","[[0.000286, 0.000286],[0.000377, 0.000377],[0.000678, 0.000678],[0.00002, 0.00002],[0.00012, 0.00012]]"
+"219","2024-03-05","[[0.000276, 0.000276],[0.000367, 0.000367],[0.000663, 0.000663],[0.000019, 0.000019],[0.000115, 0.000115]]"
+"220","2024-03-06","[[0.000267, 0.000267],[0.000356, 0.000356],[0.000648, 0.000648],[0.000018, 0.000018],[0.00011, 0.00011]]"
+"221","2024-03-07","[[0.000258, 0.000258],[0.000346, 0.000346],[0.000634, 0.000634],[0.000017, 0.000017],[0.000105, 0.000105]]"
+"222","2024-03-08","[[0.00025, 0.00025],[0.000336, 0.000336],[0.00062, 0.00062],[0.000016, 0.000016],[0.000101, 0.000101]]"
+"223","2024-03-09","[[0.000241, 0.000241],[0.000327, 0.000327],[0.000606, 0.000606],[0.000015, 0.000015],[0.000096, 0.000096]]"
+"224","2024-03-10","[[0.000233, 0.000233],[0.000318, 0.000318],[0.000593, 0.000593],[0.000014, 0.000014],[0.000092, 0.000092]]"
+"225","2024-03-11","[[0.000225, 0.000225],[0.000309, 0.000309],[0.00058, 0.00058],[0.000013, 0.000013],[0.000088, 0.000088]]"
+"226","2024-03-12","[[0.000218, 0.000218],[0.0003, 0.0003],[0.000567, 0.000567],[0.000013, 0.000013],[0.000084, 0.000084]]"
+"227","2024-03-13","[[0.000211, 0.000211],[0.000291, 0.000291],[0.000554, 0.000554],[0.000012, 0.000012],[0.00008, 0.00008]]"
+"228","2024-03-14","[[0.000203, 0.000203],[0.000283, 0.000283],[0.000541, 0.000541],[0.000011, 0.000011],[0.000077, 0.000077]]"
+"229","2024-03-15","[[0.000197, 0.000197],[0.000275, 0.000275],[0.000529, 0.000529],[0.000011, 0.000011],[0.000074, 0.000074]]"
+"230","2024-03-16","[[0.00019, 0.00019],[0.000267, 0.000267],[0.000517, 0.000517],[0.00001, 0.00001],[0.00007, 0.00007]]"
+"231","2024-03-17","[[0.000184, 0.000184],[0.000259, 0.000259],[0.000505, 0.000505],[0.00001, 0.00001],[0.000067, 0.000067]]"
+"232","2024-03-18","[[0.000178, 0.000178],[0.000252, 0.000252],[0.000494, 0.000494],[0.000009, 0.000009],[0.000064, 0.000064]]"
+"233","2024-03-19","[[0.000172, 0.000172],[0.000245, 0.000245],[0.000483, 0.000483],[0.000009, 0.000009],[0.000061, 0.000061]]"
+"234","2024-03-20","[[0.000166, 0.000166],[0.000238, 0.000238],[0.000472, 0.000472],[0.000008, 0.000008],[0.000059, 0.000059]]"
+"235","2024-03-21","[[0.00016, 0.00016],[0.000231, 0.000231],[0.000461, 0.000461],[0.000008, 0.000008],[0.000056, 0.000056]]"
+"236","2024-03-22","[[0.000155, 0.000155],[0.000224, 0.000224],[0.00045, 0.00045],[0.000007, 0.000007],[0.000054, 0.000054]]"
+"237","2024-03-23","[[0.00015, 0.00015],[0.000218, 0.000218],[0.00044, 0.00044],[0.000007, 0.000007],[0.000051, 0.000051]]"
+"238","2024-03-24","[[0.000145, 0.000145],[0.000212, 0.000212],[0.00043, 0.00043],[0.000007, 0.000007],[0.000049, 0.000049]]"
+"239","2024-03-25","[[0.00014, 0.00014],[0.000206, 0.000206],[0.00042, 0.00042],[0.000006, 0.000006],[0.000047, 0.000047]]"
+"240","2024-03-26","[[0.000135, 0.000135],[0.0002, 0.0002],[0.00041, 0.00041],[0.000006, 0.000006],[0.000045, 0.000045]]"
+"241","2024-03-27","[[0.00013, 0.00013],[0.000194, 0.000194],[0.0004, 0.0004],[0.000006, 0.000006],[0.000043, 0.000043]]"
+"242","2024-03-28","[[0.000126, 0.000126],[0.000188, 0.000188],[0.000391, 0.000391],[0.000005, 0.000005],[0.000041, 0.000041]]"
+"243","2024-03-29","[[0.000122, 0.000122],[0.000183, 0.000183],[0.000382, 0.000382],[0.000005, 0.000005],[0.000039, 0.000039]]"
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+"245","2024-03-31","[[0.000114, 0.000114],[0.000173, 0.000173],[0.000364, 0.000364],[0.000005, 0.000005],[0.000036, 0.000036]]"
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+"249","2024-04-04","[[0.000099, 0.000099],[0.000154, 0.000154],[0.000331, 0.000331],[0.000004, 0.000004],[0.00003, 0.00003]]"
+"250","2024-04-05","[[0.000096, 0.000096],[0.000149, 0.000149],[0.000324, 0.000324],[0.000003, 0.000003],[0.000029, 0.000029]]"
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+"252","2024-04-07","[[0.000089, 0.000089],[0.000141, 0.000141],[0.000309, 0.000309],[0.000003, 0.000003],[0.000026, 0.000026]]"
+"253","2024-04-08","[[0.000086, 0.000086],[0.000137, 0.000137],[0.000301, 0.000301],[0.000003, 0.000003],[0.000025, 0.000025]]"
+"254","2024-04-09","[[0.000083, 0.000083],[0.000133, 0.000133],[0.000294, 0.000294],[0.000003, 0.000003],[0.000024, 0.000024]]"
+"255","2024-04-10","[[0.000081, 0.000081],[0.000129, 0.000129],[0.000287, 0.000287],[0.000003, 0.000003],[0.000023, 0.000023]]"
+"256","2024-04-11","[[0.000078, 0.000078],[0.000125, 0.000125],[0.00028, 0.00028],[0.000003, 0.000003],[0.000022, 0.000022]]"
+"257","2024-04-12","[[0.000075, 0.000075],[0.000121, 0.000121],[0.000274, 0.000274],[0.000002, 0.000002],[0.000021, 0.000021]]"
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+"259","2024-04-14","[[0.00007, 0.00007],[0.000115, 0.000115],[0.000261, 0.000261],[0.000002, 0.000002],[0.000019, 0.000019]]"
+"260","2024-04-15","[[0.000068, 0.000068],[0.000111, 0.000111],[0.000255, 0.000255],[0.000002, 0.000002],[0.000018, 0.000018]]"
+"261","2024-04-16","[[0.000066, 0.000066],[0.000108, 0.000108],[0.000248, 0.000248],[0.000002, 0.000002],[0.000017, 0.000017]]"
+"262","2024-04-17","[[0.000063, 0.000063],[0.000105, 0.000105],[0.000242, 0.000242],[0.000002, 0.000002],[0.000017, 0.000017]]"
+"263","2024-04-18","[[0.000061, 0.000061],[0.000102, 0.000102],[0.000237, 0.000237],[0.000002, 0.000002],[0.000016, 0.000016]]"
+"264","2024-04-19","[[0.000059, 0.000059],[0.000099, 0.000099],[0.000231, 0.000231],[0.000002, 0.000002],[0.000015, 0.000015]]"
+"265","2024-04-20","[[0.000057, 0.000057],[0.000096, 0.000096],[0.000225, 0.000225],[0.000002, 0.000002],[0.000015, 0.000015]]"
+"266","2024-04-21","[[0.000055, 0.000055],[0.000093, 0.000093],[0.00022, 0.00022],[0.000001, 0.000001],[0.000014, 0.000014]]"
+"267","2024-04-22","[[0.000053, 0.000053],[0.000091, 0.000091],[0.000215, 0.000215],[0.000001, 0.000001],[0.000013, 0.000013]]"
+"268","2024-04-23","[[0.000052, 0.000052],[0.000088, 0.000088],[0.00021, 0.00021],[0.000001, 0.000001],[0.000013, 0.000013]]"
+"269","2024-04-24","[[0.00005, 0.00005],[0.000085, 0.000085],[0.000205, 0.000205],[0.000001, 0.000001],[0.000012, 0.000012]]"
+"270","2024-04-25","[[0.000048, 0.000048],[0.000083, 0.000083],[0.0002, 0.0002],[0.000001, 0.000001],[0.000012, 0.000012]]"
+"271","2024-04-26","[[0.000046, 0.000046],[0.00008, 0.00008],[0.000195, 0.000195],[0.000001, 0.000001],[0.000011, 0.000011]]"
+"272","2024-04-27","[[0.000045, 0.000045],[0.000078, 0.000078],[0.00019, 0.00019],[0.000001, 0.000001],[0.000011, 0.000011]]"
+"273","2024-04-28","[[0.000043, 0.000043],[0.000076, 0.000076],[0.000185, 0.000185],[0.000001, 0.000001],[0.00001, 0.00001]]"
+"274","2024-04-29","[[0.000042, 0.000042],[0.000074, 0.000074],[0.000181, 0.000181],[0.000001, 0.000001],[0.00001, 0.00001]]"
+"275","2024-04-30","[[0.00004, 0.00004],[0.000072, 0.000072],[0.000177, 0.000177],[0.000001, 0.000001],[0.000009, 0.000009]]"
+"276","2024-05-01","[[0.000039, 0.000039],[0.000069, 0.000069],[0.000172, 0.000172],[0.000001, 0.000001],[0.000009, 0.000009]]"
+"277","2024-05-02","[[0.000038, 0.000038],[0.000067, 0.000067],[0.000168, 0.000168],[0.000001, 0.000001],[0.000009, 0.000009]]"
+"278","2024-05-03","[[0.000036, 0.000036],[0.000065, 0.000065],[0.000164, 0.000164],[0.000001, 0.000001],[0.000008, 0.000008]]"
+"279","2024-05-04","[[0.000035, 0.000035],[0.000064, 0.000064],[0.00016, 0.00016],[0.000001, 0.000001],[0.000008, 0.000008]]"
+"280","2024-05-05","[[0.000034, 0.000034],[0.000062, 0.000062],[0.000156, 0.000156],[0.000001, 0.000001],[0.000007, 0.000007]]"
+"281","2024-05-06","[[0.000033, 0.000033],[0.00006, 0.00006],[0.000152, 0.000152],[0.000001, 0.000001],[0.000007, 0.000007]]"
+"282","2024-05-07","[[0.000032, 0.000032],[0.000058, 0.000058],[0.000149, 0.000149],[0.000001, 0.000001],[0.000007, 0.000007]]"
+"283","2024-05-08","[[0.000031, 0.000031],[0.000056, 0.000056],[0.000145, 0.000145],[0.000001, 0.000001],[0.000007, 0.000007]]"
+"284","2024-05-09","[[0.00003, 0.00003],[0.000055, 0.000055],[0.000142, 0.000142],[0.000001, 0.000001],[0.000006, 0.000006]]"
+"285","2024-05-10","[[0.000029, 0.000029],[0.000053, 0.000053],[0.000138, 0.000138],[0.000001, 0.000001],[0.000006, 0.000006]]"
+"286","2024-05-11","[[0.000028, 0.000028],[0.000052, 0.000052],[0.000135, 0.000135],[0, 0],[0.000006, 0.000006]]"
+"287","2024-05-12","[[0.000027, 0.000027],[0.00005, 0.00005],[0.000131, 0.000131],[0, 0],[0.000005, 0.000005]]"
+"288","2024-05-13","[[0.000026, 0.000026],[0.000049, 0.000049],[0.000128, 0.000128],[0, 0],[0.000005, 0.000005]]"
+"289","2024-05-14","[[0.000025, 0.000025],[0.000047, 0.000047],[0.000125, 0.000125],[0, 0],[0.000005, 0.000005]]"
+"290","2024-05-15","[[0.000024, 0.000024],[0.000046, 0.000046],[0.000122, 0.000122],[0, 0],[0.000005, 0.000005]]"
+"291","2024-05-16","[[0.000023, 0.000023],[0.000045, 0.000045],[0.000119, 0.000119],[0, 0],[0.000005, 0.000005]]"
+"292","2024-05-17","[[0.000023, 0.000023],[0.000043, 0.000043],[0.000116, 0.000116],[0, 0],[0.000004, 0.000004]]"
+"293","2024-05-18","[[0.000022, 0.000022],[0.000042, 0.000042],[0.000113, 0.000113],[0, 0],[0.000004, 0.000004]]"
+"294","2024-05-19","[[0.000021, 0.000021],[0.000041, 0.000041],[0.00011, 0.00011],[0, 0],[0.000004, 0.000004]]"
+"295","2024-05-20","[[0.00002, 0.00002],[0.00004, 0.00004],[0.000108, 0.000108],[0, 0],[0.000004, 0.000004]]"
+"296","2024-05-21","[[0.00002, 0.00002],[0.000038, 0.000038],[0.000105, 0.000105],[0, 0],[0.000004, 0.000004]]"
+"297","2024-05-22","[[0.000019, 0.000019],[0.000037, 0.000037],[0.000103, 0.000103],[0, 0],[0.000003, 0.000003]]"
+"298","2024-05-23","[[0.000018, 0.000018],[0.000036, 0.000036],[0.0001, 0.0001],[0, 0],[0.000003, 0.000003]]"
+"299","2024-05-24","[[0.000018, 0.000018],[0.000035, 0.000035],[0.000098, 0.000098],[0, 0],[0.000003, 0.000003]]"
+"300","2024-05-25","[[0.000017, 0.000017],[0.000034, 0.000034],[0.000095, 0.000095],[0, 0],[0.000003, 0.000003]]"
+"301","2024-05-26","[[0.000016, 0.000016],[0.000033, 0.000033],[0.000093, 0.000093],[0, 0],[0.000003, 0.000003]]"
+"302","2024-05-27","[[0.000016, 0.000016],[0.000032, 0.000032],[0.000091, 0.000091],[0, 0],[0.000003, 0.000003]]"
+"303","2024-05-28","[[0.000015, 0.000015],[0.000031, 0.000031],[0.000088, 0.000088],[0, 0],[0.000003, 0.000003]]"
+"304","2024-05-29","[[0.000015, 0.000015],[0.00003, 0.00003],[0.000086, 0.000086],[0, 0],[0.000003, 0.000003]]"
+"305","2024-05-30","[[0.000014, 0.000014],[0.000029, 0.000029],[0.000084, 0.000084],[0, 0],[0.000002, 0.000002]]"
+"306","2024-05-31","[[0.000014, 0.000014],[0.000029, 0.000029],[0.000082, 0.000082],[0, 0],[0.000002, 0.000002]]"
diff --git a/flu_instances/austin_input_files_2023_2024/init_vals_East.json b/flu_instances/austin_input_files_2023_2024/init_vals_East.json
new file mode 100644
index 0000000..2672066
--- /dev/null
+++ b/flu_instances/austin_input_files_2023_2024/init_vals_East.json
@@ -0,0 +1,62 @@
+{
+	"S": [[29731, 1664],
+		[57803, 7957],
+		[225281, 51477],
+		[43872, 24042],
+		[19276, 23465]],
+	"E": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"IP": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"ISR": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"ISH": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"IA": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"HR": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"HD": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"R": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"D": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"M": [[0.0613, 0.0613],
+		[0.0991, 0.0991],
+		[0.0127, 0.0127],
+		[0.0478, 0.0478],
+		[0.0153, 0.0153]],
+	"MV": [[0.0, 0.0],
+		[0.0, 0.0],
+		[0.0, 0.0],
+		[0.0, 0.0],
+		[0.0, 0.0]]
+}
diff --git a/flu_instances/austin_input_files_2023_2024/init_vals_West.json b/flu_instances/austin_input_files_2023_2024/init_vals_West.json
new file mode 100644
index 0000000..60e18ed
--- /dev/null
+++ b/flu_instances/austin_input_files_2023_2024/init_vals_West.json
@@ -0,0 +1,62 @@
+{
+	"S": [[30088, 1517],
+		[87173, 10884],
+		[280601, 62014],
+		[76050, 40950],
+		[37414, 46100]],
+	"E": [[0, 0],
+		[0, 0],
+		[5, 0],
+		[0, 0],
+		[0, 0]],
+	"IP": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"ISR": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"ISH": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"IA": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"HR": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"HD": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"R": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"D": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"M": [[0.0332, 0.0332],
+		[0.0348, 0.0348],
+		[0.0101, 0.0101],
+		[0.0193, 0.0193],
+		[0.0095, 0.0095]],
+	"MV": [[0.0, 0.0],
+		[0.0, 0.0],
+		[0.0, 0.0],
+		[0.0, 0.0],
+		[0.0, 0.0]]
+}
diff --git a/flu_instances/austin_input_files_2023_2024/init_vals_east.json b/flu_instances/austin_input_files_2023_2024/init_vals_east.json
deleted file mode 100644
index aa0e21f..0000000
--- a/flu_instances/austin_input_files_2023_2024/init_vals_east.json
+++ /dev/null
@@ -1,64 +0,0 @@
-{
-	"S": [[31395],
-		[65760],
-		[276758],
-		[67914],
-		[42741]],
-	"E": [[0],
-		[0],
-		[0],
-		[0],
-		[0]],
-	"IP": [[0],
-		[0],
-		[0],
-		[0],
-		[0]],
-	"ISR": [[0],
-		[0],
-		[0],
-		[0],
-		[0]],
-	"ISH": [[0],
-		[0],
-		[0],
-		[0],
-		[0]],
-	"IA": [[0],
-		[0],
-		[0],
-		[0],
-		[0]],
-	"HR": [[0],
-		[0],
-		[0],
-		[0],
-		[0]],
-	"HD": [[0],
-		[0],
-		[0],
-		[0],
-		[0]],
-	"R": [[0],
-		[0],
-		[0],
-		[0],
-		[0]],
-	"D": [[0],
-		[0],
-		[0],
-		[0],
-		[0]],
-	"M":
-		[[0.1],
-		[0.1],
-		[0.06],
-		[0.08],
-		[0.04]],
-	"MV":
-		[[0.0],
-		[0.0],
-		[0.0],
-		[0.0],
-		[0.0]]
-}
diff --git a/flu_instances/austin_input_files_2023_2024/init_vals_west.json b/flu_instances/austin_input_files_2023_2024/init_vals_west.json
deleted file mode 100644
index 82fd749..0000000
--- a/flu_instances/austin_input_files_2023_2024/init_vals_west.json
+++ /dev/null
@@ -1,64 +0,0 @@
-{
-	"S": [[31605],
-		[98057],
-		[342590],
-		[117000],
-		[83514]],
-	"E": [[0],
-		[0],
-		[30],
-		[0],
-		[0]],
-	"IP": [[0],
-		[0],
-		[0],
-		[0],
-		[0]],
-	"ISR": [[0],
-		[0],
-		[0],
-		[0],
-		[0]],
-	"ISH": [[0],
-		[0],
-		[0],
-		[0],
-		[0]],
-	"IA": [[0],
-		[0],
-		[0],
-		[0],
-		[0]],
-	"HR": [[0],
-		[0],
-		[0],
-		[0],
-		[0]],
-	"HD": [[0],
-		[0],
-		[0],
-		[0],
-		[0]],
-	"R": [[0],
-		[0],
-		[0],
-		[0],
-		[0]],
-	"D": [[0],
-		[0],
-		[0],
-		[0],
-		[0]],
-	"M":
-		[[0.1],
-		[0.1],
-		[0.06],
-		[0.08],
-		[0.04]],
-	"MV":
-		[[0.0],
-		[0.0],
-		[0.0],
-		[0.0],
-		[0.0]]
-}
diff --git a/flu_instances/austin_input_files_2023_2024/school_work_calendar_austin_East.csv b/flu_instances/austin_input_files_2023_2024/school_work_calendar_austin_East.csv
index cfec34a..cc9a7a1 100644
--- a/flu_instances/austin_input_files_2023_2024/school_work_calendar_austin_East.csv
+++ b/flu_instances/austin_input_files_2023_2024/school_work_calendar_austin_East.csv
@@ -1,306 +1,306 @@
 ,date,is_school_day,is_work_day
-0,2023-08-01,0.0,1
-1,2023-08-02,0.0,1
-2,2023-08-03,0.0,1
-3,2023-08-04,0.0,1
-4,2023-08-05,0.0,0
-5,2023-08-06,0.0,0
-6,2023-08-07,0.0,1
-7,2023-08-08,0.0,1
-8,2023-08-09,0.17,1
-9,2023-08-10,0.17,1
-10,2023-08-11,0.17,1
-11,2023-08-12,0.0,0
-12,2023-08-13,0.0,0
-13,2023-08-14,0.85,1
-14,2023-08-15,0.95,1
-15,2023-08-16,1.0,1
-16,2023-08-17,1.0,1
-17,2023-08-18,1.0,1
-18,2023-08-19,0.0,0
-19,2023-08-20,0.0,0
-20,2023-08-21,1.0,1
-21,2023-08-22,1.0,1
-22,2023-08-23,1.0,1
-23,2023-08-24,1.0,1
-24,2023-08-25,1.0,1
-25,2023-08-26,0.0,0
-26,2023-08-27,0.0,0
-27,2023-08-28,1.0,1
-28,2023-08-29,1.0,1
-29,2023-08-30,1.0,1
-30,2023-08-31,1.0,1
-31,2023-09-01,1.0,1
-32,2023-09-02,0.0,0
-33,2023-09-03,0.0,0
-34,2023-09-04,0.0,0
-35,2023-09-05,0.9,1
-36,2023-09-06,1.0,1
-37,2023-09-07,1.0,1
-38,2023-09-08,1.0,1
-39,2023-09-09,0.0,0
-40,2023-09-10,0.0,0
-41,2023-09-11,1.0,1
-42,2023-09-12,1.0,1
-43,2023-09-13,1.0,1
-44,2023-09-14,1.0,1
-45,2023-09-15,1.0,1
-46,2023-09-16,0.0,0
-47,2023-09-17,0.0,0
-48,2023-09-18,1.0,1
-49,2023-09-19,1.0,1
-50,2023-09-20,1.0,1
-51,2023-09-21,1.0,1
-52,2023-09-22,1.0,1
-53,2023-09-23,0.0,0
-54,2023-09-24,0.0,0
-55,2023-09-25,0.36,1
-56,2023-09-26,1.0,1
-57,2023-09-27,1.0,1
-58,2023-09-28,1.0,1
-59,2023-09-29,1.0,1
-60,2023-09-30,0.0,0
-61,2023-10-01,0.0,0
-62,2023-10-02,1.0,1
-63,2023-10-03,1.0,1
-64,2023-10-04,1.0,1
-65,2023-10-05,0.9,1
-66,2023-10-06,0.9,1
-67,2023-10-07,0.0,0
-68,2023-10-08,0.0,0
-69,2023-10-09,0.26,0
-70,2023-10-10,1.0,1
-71,2023-10-11,1.0,1
-72,2023-10-12,1.0,1
-73,2023-10-13,1.0,1
-74,2023-10-14,0.0,0
-75,2023-10-15,0.0,0
-76,2023-10-16,0.83,1
-77,2023-10-17,0.83,1
-78,2023-10-18,0.83,1
-79,2023-10-19,0.83,1
-80,2023-10-20,0.74,1
-81,2023-10-21,0.0,0
-82,2023-10-22,0.0,0
-83,2023-10-23,0.91,1
-84,2023-10-24,1.0,1
-85,2023-10-25,1.0,1
-86,2023-10-26,1.0,1
-87,2023-10-27,1.0,1
-88,2023-10-28,0.0,0
-89,2023-10-29,0.0,0
-90,2023-10-30,1.0,1
-91,2023-10-31,1.0,1
-92,2023-11-01,1.0,1
-93,2023-11-02,1.0,1
-94,2023-11-03,0.9,1
-95,2023-11-04,0.0,0
-96,2023-11-05,0.0,0
-97,2023-11-06,1.0,1
-98,2023-11-07,0.91,1
-99,2023-11-08,1.0,1
-100,2023-11-09,0.95,1
-101,2023-11-10,0.95,0
-102,2023-11-11,0.0,0
-103,2023-11-12,0.0,0
-104,2023-11-13,0.41000000000000003,1
-105,2023-11-14,1.0,1
-106,2023-11-15,1.0,1
-107,2023-11-16,1.0,1
-108,2023-11-17,1.0,1
-109,2023-11-18,0.0,0
-110,2023-11-19,0.0,0
-111,2023-11-20,0.0,1
-112,2023-11-21,0.0,1
-113,2023-11-22,0.0,1
-114,2023-11-23,0.0,0
-115,2023-11-24,0.0,1
-116,2023-11-25,0.0,0
-117,2023-11-26,0.0,0
-118,2023-11-27,1.0,1
-119,2023-11-28,1.0,1
-120,2023-11-29,1.0,1
-121,2023-11-30,1.0,1
-122,2023-12-01,1.0,1
-123,2023-12-02,0.0,0
-124,2023-12-03,0.0,0
-125,2023-12-04,1.0,1
-126,2023-12-05,1.0,1
-127,2023-12-06,1.0,1
-128,2023-12-07,1.0,1
-129,2023-12-08,1.0,1
-130,2023-12-09,0.0,0
-131,2023-12-10,0.95,0
-132,2023-12-11,1.0,1
-133,2023-12-12,1.0,1
-134,2023-12-13,1.0,1
-135,2023-12-14,1.0,1
-136,2023-12-15,1.0,1
-137,2023-12-16,0.0,0
-138,2023-12-17,0.0,0
-139,2023-12-18,0.95,1
-140,2023-12-19,0.95,1
-141,2023-12-20,0.95,1
-142,2023-12-21,0.36,1
-143,2023-12-22,0.26,1
-144,2023-12-23,0.0,0
-145,2023-12-24,0.0,0
-146,2023-12-25,0.0,0
-147,2023-12-26,0.0,1
-148,2023-12-27,0.0,1
-149,2023-12-28,0.0,1
-150,2023-12-29,0.0,1
-151,2023-12-30,0.0,0
-152,2023-12-31,0.0,0
-153,2024-01-01,0.0,0
-154,2024-01-02,0.0,1
-155,2024-01-03,0.0,1
-156,2024-01-04,0.05,1
-157,2024-01-05,0.05,1
-158,2024-01-06,0.0,0
-159,2024-01-07,0.0,0
-160,2024-01-08,0.05,1
-161,2024-01-09,1.0,1
-162,2024-01-10,1.0,1
-163,2024-01-11,1.0,1
-164,2024-01-12,1.0,1
-165,2024-01-13,0.0,0
-166,2024-01-14,0.0,0
-167,2024-01-15,0.0,0
-168,2024-01-16,1.0,1
-169,2024-01-17,1.0,1
-170,2024-01-18,1.0,1
-171,2024-01-19,1.0,1
-172,2024-01-20,0.0,0
-173,2024-01-21,0.0,0
-174,2024-01-22,1.0,1
-175,2024-01-23,1.0,1
-176,2024-01-24,1.0,1
-177,2024-01-25,1.0,1
-178,2024-01-26,1.0,1
-179,2024-01-27,0.0,0
-180,2024-01-28,0.0,0
-181,2024-01-29,1.0,1
-182,2024-01-30,1.0,1
-183,2024-01-31,1.0,1
-184,2024-02-01,1.0,1
-185,2024-02-02,1.0,1
-186,2024-02-03,0.0,0
-187,2024-02-04,0.0,0
-188,2024-02-05,1.0,1
-189,2024-02-06,1.0,1
-190,2024-02-07,1.0,1
-191,2024-02-08,1.0,1
-192,2024-02-09,0.41000000000000003,1
-193,2024-02-10,0.0,0
-194,2024-02-11,0.0,0
-195,2024-02-12,1.0,1
-196,2024-02-13,1.0,1
-197,2024-02-14,1.0,1
-198,2024-02-15,1.0,1
-199,2024-02-16,0.73,1
-200,2024-02-17,0.0,0
-201,2024-02-18,0.0,0
-202,2024-02-19,0.0,0
-203,2024-02-20,1.0,1
-204,2024-02-21,1.0,1
-205,2024-02-22,1.0,1
-206,2024-02-23,1.0,1
-207,2024-02-24,0.0,0
-208,2024-02-25,0.0,0
-209,2024-02-26,1.0,1
-210,2024-02-27,1.0,1
-211,2024-02-28,1.0,1
-212,2024-02-29,1.0,1
-213,2024-03-01,1.0,1
-214,2024-03-02,0.0,0
-215,2024-03-03,0.0,0
-216,2024-03-04,1.0,1
-217,2024-03-05,1.0,1
-218,2024-03-06,1.0,1
-219,2024-03-07,1.0,1
-220,2024-03-08,1.0,1
-221,2024-03-09,0.0,0
-222,2024-03-10,0.0,0
-223,2024-03-11,0.0,1
-224,2024-03-12,0.0,1
-225,2024-03-13,0.0,1
-226,2024-03-14,0.0,1
-227,2024-03-15,0.0,1
-228,2024-03-16,0.0,0
-229,2024-03-17,0.0,0
-230,2024-03-18,1.0,1
-231,2024-03-19,1.0,1
-232,2024-03-20,1.0,1
-233,2024-03-21,1.0,1
-234,2024-03-22,1.0,1
-235,2024-03-23,0.0,0
-236,2024-03-24,0.0,0
-237,2024-03-25,1.0,1
-238,2024-03-26,1.0,1
-239,2024-03-27,1.0,1
-240,2024-03-28,1.0,1
-241,2024-03-29,0.09,1
-242,2024-03-30,0.0,0
-243,2024-03-31,0.0,0
-244,2024-04-01,0.73,1
-245,2024-04-02,1.0,1
-246,2024-04-03,1.0,1
-247,2024-04-04,1.0,1
-248,2024-04-05,1.0,1
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-250,2024-04-07,0.0,0
-251,2024-04-08,1.0,1
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-253,2024-04-10,0.36,1
-254,2024-04-11,1.0,1
-255,2024-04-12,1.0,1
-256,2024-04-13,0.0,0
-257,2024-04-14,0.0,0
-258,2024-04-15,1.0,1
-259,2024-04-16,1.0,1
-260,2024-04-17,1.0,1
-261,2024-04-18,1.0,1
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-264,2024-04-21,0.0,0
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-274,2024-05-01,1.0,1
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diff --git a/flu_instances/austin_input_files_2023_2024/school_work_calendar_austin_West.csv b/flu_instances/austin_input_files_2023_2024/school_work_calendar_austin_West.csv
index 51efef3..9bec1e8 100644
--- a/flu_instances/austin_input_files_2023_2024/school_work_calendar_austin_West.csv
+++ b/flu_instances/austin_input_files_2023_2024/school_work_calendar_austin_West.csv
@@ -1,306 +1,306 @@
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+303,2024-05-30,0.03,0.87
+304,2024-05-31,0,0.87
diff --git a/flu_instances/austin_input_files_2023_2024/simulation_settings.json b/flu_instances/austin_input_files_2023_2024/simulation_settings.json
index aee1aa6..cf04a72 100644
--- a/flu_instances/austin_input_files_2023_2024/simulation_settings.json
+++ b/flu_instances/austin_input_files_2023_2024/simulation_settings.json
@@ -2,7 +2,7 @@
 	"timesteps_per_day":7,
 	"transition_type":"binom_deterministic_no_round",
 	"use_deterministic_softplus": false,
-	"start_real_date": "2023-08-14",
+	"start_real_date": "2023-09-15",
 	"save_daily_history": true,
-        "transition_variables_to_save": ["ISH_to_HR", "ISH_to_HD", "S_to_E", "E_to_IP", "R_to_S","IA_to_R", "ISR_to_R","HR_to_R"]
+    "transition_variables_to_save": ["ISH_to_HR", "ISH_to_HD", "S_to_E", "E_to_IP", "R_to_S","IA_to_R", "ISR_to_R","HR_to_R","HD_to_D"]
 }
diff --git a/flu_instances/austin_input_files_2023_2024/texas_input_files_readme.md b/flu_instances/austin_input_files_2023_2024/texas_input_files_readme.md
deleted file mode 100644
index bd033aa..0000000
--- a/flu_instances/austin_input_files_2023_2024/texas_input_files_readme.md
+++ /dev/null
@@ -1,79 +0,0 @@
-Notes
-- "B&B 2025" refers to Bi & Bandekar et al's paper draft for influenza burden averted, using the immunoSEIRS model. 
-- "CLT Lit Review" refers to the literature review that the whole group did to identify fixed values or reasonable ranges for various parameters.
-- "Anass Analysis 2025" refers to new within-host model analysis conducted by Anass (using linear dM/dt differential equations)
-
-Note: the order that the parameter values are described in this README may not necessarily match the order given in the input files.
-
-# "school_work_calendar.csv"
-
-***MUST BE UPDATED!*** This is taken from previous bespoke Austin model work (Dave Morton and Nazli Arslan), and is also from 2022-2023.
-
-# "daily_vaccines_constant.csv"
-
-***MUST BE UPDATED!*** This is a placeholder file -- notice that all "daily_vaccines" are 100. Must be updated with actual historical time series. 
-
-# "absolute_humidity_austin_2023_2024.csv"
-
-From Remy!
-
-# "common_subpop_params.json"
-
-This `JSON` file has parameter values currently used in calibration attempts. A simple initial calibration attempt is to obtain a sensible `beta_baseline` (and potentially sensible population-level immunity parameter values and initial values) for one subpopulation.
-
-Note that many of the fixed parameters will likely be common across city models, but some of them may be replaced by city-specific estimates from city-specific data sources. 
-
-## Fixed parameters 
-- `num_age_groups`, `num_risk_groups` -- we agreed that we have 5 age groups (0-4, 5-17, 18-49, 50-64, 65+).
-- `total_contact_matrix` -- based on total contact matrix (contact rates, not probabilities) from [MOBS](https://github.com/mobs-lab/mixing-patterns) shared by Kaiming in March 2025 CLT meeting -- currently weighted by TEXAS population distribution among age groups -- city-level models may want to replace this with their city-specific population distributions, if available. See `README.md` in `derived_inputs_computation` folder for how this is computed. 
-- `H_to_R_rate`, `H_to_D_rate` -- B+B 2025 and CLT Lit Review -- may eventually replace with city-specific hospitalization data
-- `hosp_risk_reduce`, `inf_risk_reduce`, `death_risk_reduce` -- B+B 2025 
-    - Assume `death_risk_reduce` is same as `hosp_risk_reduce`
-- `IA_to_R_rate` -- CLT Lit Review (Remy)
-- `IA_relative_inf`, `IP_relative_inf` -- CLT Lit Review (Remy)
-- `E_to_I_rate` -- CLT Lit Review (Remy)
-- `IP_to_IS_rate` -- CLT Lit Review (Remy)
-- `IS_to_R_rate` -- CLT Lit Review (Remy)
-- `E_to_IA_prop` -- CLT Lit Review (Remy)
-- `IS_to_H_rate` -- CLT Lit Review (Sonny) -- but may eventually get age-specific rates from hospital data
-- `H_to_R_rate` -- B&B 2025 -- also may eventually get from hospital data
-- `H_to_D_rate` -- B&B 2025 and CLT Lit Review -- may eventually get from hospital data
-- `IS_to_H_adjusted_prop` -— for the non-rate-adjusted proportion, used [2023-2024 CDC estimates](https://www.cdc.gov/flu-burden/php/data-vis/2023-2024.html#:~:text=The%20overall%20burden%20of%20influenza,and%2028%2C000%20flu%2Drelated%20deaths) and divided estimated hospitalizations by estimated infections for each age group —- this ends up being very similar to the table in the CLT Lit Review (Shraddha).
-    - Then computed the rate-adjusted proportion using formula given in mathematical formulation.
-    - Note: not sure if CDC methodology includes asymptomatic infections, and how much that affects our parameter value estimates — because `IS_to_H_adjusted_prop` is NOT the same as IHR because we are not considering asymptomatic people.
-- `H_to_D_adjusted_prop` — for the non-rate-adjusted proportion, used [2023-2024 CDC estimates](https://www.cdc.gov/flu-burden/php/data-vis/2023-2024.html#:~:text=The%20overall%20burden%20of%20influenza,and%2028%2C000%20flu%2Drelated%20deaths) and used estimated deaths divided by estimated hospitalizations -— replaced Jose’s write-up for simplicity.
-    - Again, computed the rate-adjusted proportion using formula given in mathematical formulation.
-- `inf_induced_saturation`, `vax_induced_saturation` -- Anass Analysis 2025
-- `inf_induced_inf_risk_reduce`, `vax_induced_inf_risk_reduce` -- Anass Analysis 2025
-- `inf_induced_hosp_risk_reduce` -- Anass Analysis 08/09/2025, analysis in PDF posted in Slack: (the values of k/(k-1) equal) "6.81 for H1N1 and 9.09 for H3N2" -- according to the [CDC](https://www.cdc.gov/flu/whats-new/flu-summary-2023-2024.html) H1N1 was dominant in 2023-2024 so we'll use the first one -- solving for k, that means the risk reduction is 0.87 roughly.
-
-## Parameters that need to be changed or fit
-- `mobility_modifier` -- need to be replaced by mobility data-driven estimates
-- `beta_baseline` -- we are trying to fit this parameter. B&B 2025 list their calibrated value as `0.0493`
-- `R_to_S_rate` -- CLT Lit Review (Oluwasegun) -- will probably have to wiggle this for our new population-level immunity equations -- also, based on very preliminary calibration, it seems like this rate is too fast for sensible results
-- `inf_induced_immune_wane`, `vax_induced_immune_wane` -- CLT Lit Review (Linda, but had group discussion, and ended up using similar B&B 2025 values) -- specifically for infection-induced immunity waning, LP is suspicious because we only have literature on the half-life of antibodies, but that is not the same as half-life of protection against infection... may want to consider fitting these parameters.
-- `vax_induced_hosp_risk_reduce` -- currently set to be same as `inf_induced_inf_risk_reduce` -- in the previous draft of the immunoSEIRS burden averted paper, there were no references for vaccination-induced protection against hospitalization -- Lauren says that Kaiming has new references -- someone should follow-up on this.
-
-## Unused parameters
-These parameters are not being included, at least in the first pass (simpler model for attempted calibration).
-- `humidity_impact` -- currently set to 0.
-- `school_contact_matrix`, `work_contact_matrix` -- currently set to zero-matrices, so that we are not considering weekend or holiday seasonality (the force of infection includes the total contact matrix every day in the simulation)
-- `relative_suscept` -- set to all 1s, so not in effect currently.
-- `inf_induced_death_risk_reduce`, `vax_induced_death_risk_reduce` -- 08/05/2025 meeting with Remy and Lauren -- Lauren said we are not including protection against death, so we set these to 0.
-
-# `init_vals.json`
-
-## Fixed parameters
-- `S` -- Texas population estimates from ACS 2023 1-year -- can also be taken from data source described in `README.md` in `derived_inputs_computation` folder.
-- `R`, `D` -- starting off with zero-matrices.
-
-## Parameters that need to be changed or fit
-- `E`, `IP`, `IS`, `IA`, `H` -- B&B 2025
-	- `E` for each age-risk group is simply set to 10, and the 3 infected compartments and `H` for each age-risk group are set to 1
-	- City-level models should adjust these initial values based on population counts in their city.
-
-# `mixing_params.json`
-
-## Parameters that need to be changed or fit
-- `num_locations` -- aka number of subpopulations -- this depends on the city
-- `travel_proportions` -- need to be replaced by mobility data-driven estimates
\ No newline at end of file
diff --git a/flu_instances/austin_input_files_2024_2025/Hosp_Austin.xlsx b/flu_instances/austin_input_files_2024_2025/Hosp_Austin.xlsx
index 4c1d562..168536d 100644
Binary files a/flu_instances/austin_input_files_2024_2025/Hosp_Austin.xlsx and b/flu_instances/austin_input_files_2024_2025/Hosp_Austin.xlsx differ
diff --git a/flu_instances/austin_input_files_2024_2025/common_subpop_params.json b/flu_instances/austin_input_files_2024_2025/common_subpop_params.json
index 535e797..682a2d9 100644
--- a/flu_instances/austin_input_files_2024_2025/common_subpop_params.json
+++ b/flu_instances/austin_input_files_2024_2025/common_subpop_params.json
@@ -1,16 +1,16 @@
 {
 	"num_age_groups":5,
-	"num_risk_groups":1,
-	"beta_baseline": 0.042,
+	"num_risk_groups":2,
+	"beta_baseline": 0.045,
     "humidity_impact": 0.0119,
-	"inf_induced_saturation": 0.7,
-	"inf_induced_immune_wane": 0.01,
+	"inf_induced_saturation": 0.82,
+	"inf_induced_immune_wane": 0.0037,
 	"vax_induced_saturation": 0.2,
-    "vax_induced_immune_wane": [[0.0025],[0.0025],[0.0025],[0.0025],[0.0036]],
+    "vax_induced_immune_wane": [[0.0025,0.0025],[0.0025,0.0025],[0.0025,0.0025],[0.0025,0.0025],[0.0036,0.0036]],
 	"inf_induced_inf_risk_reduce": 0.80,
 	"inf_induced_hosp_risk_reduce": 0.87,
 	"inf_induced_death_risk_reduce": 0.0,
-	"vax_induced_inf_risk_reduce": [[0.52],[0.52],[0.43],[0.43],[0.10]],
+    "vax_induced_inf_risk_reduce": [[0.52,0.52],[0.52,0.52],[0.43,0.43],[0.43,0.43],[0.10,0.10]],
     "vax_induced_hosp_risk_reduce": [[0.63],[0.63],[0.51],[0.51],[0.57]],
 	"vax_induced_death_risk_reduce": 0.0,
 	"vax_protection_delay_days": 14,
@@ -19,30 +19,20 @@
     "E_to_I_rate": 1.43,
     "IP_to_IS_rate": 1.11,
     "ISH_to_H_rate": 0.27,
-    "ISR_to_R_rate": 0.5,
+    "ISR_to_R_rate": 0.50,
     "IA_to_R_rate": 0.43,
-    "HR_to_R_rate": [[0.21],[0.21],[0.16],[0.15],[0.15]],
-    "HD_to_D_rate": 0.17,
-    "E_to_IA_prop": [[0.25],[0.25],[0.3],[0.3],[0.3]],
-	"IP_relative_inf": 2.22,
-	"IA_relative_inf": 1.03,
-	"relative_suscept":
-		[[1.0],
-		[1.0],
-		[1.0],
-		[1.0],
-		[1.0]],
-    "ISH_to_HD_prop": [[0.0132],
-                       [0.0099],
-                       [0.0295],
-                       [0.0595],
-                       [0.0802]],
-    "IP_to_ISH_prop": [[0.0070],
-                       [0.0027],
-                       [0.0056],
-                       [0.0106],
-                       [0.0909]],
-
+    "HR_to_R_rate": [[0.23,0.23],[0.22,0.22],[0.21,0.21],[0.19,0.19],[0.19,0.19]],
+    "HD_to_D_rate": [[0.11,0.11],[0.11,0.11],[0.06,0.06],[0.09,0.09],[0.12,0.12]],
+    "E_to_IA_prop": [[0.25,0.25],[0.25,0.25],[0.3,0.3],[0.3,0.3],[0.3,0.3]],
+    "IP_relative_inf": 2.22,
+    "IA_relative_inf": 1.03,
+    "relative_suscept": [[1.0,1.0], [1.0,1.0], [1.0,1.0], [1.0,1.0], [1.0,1.0]],
+    "ISH_to_HD_prop": [[0.0194,0.0194], [0.0129,0.0129], [0.0258,0.0258], [0.0683,0.0683], [0.0778,0.0778]],
+    "IP_to_ISH_prop": [[0.0051, 0.0399],
+                       [0.0022, 0.0069],
+                       [0.0024, 0.0162],
+                       [0.0028, 0.0201],
+                       [0.0236, 0.1200]],
 "work_contact_matrix": [
         [
             0.0,
diff --git a/flu_instances/austin_input_files_2024_2025/daily_vaccines_East.csv b/flu_instances/austin_input_files_2024_2025/daily_vaccines_East.csv
index ccf8df2..2434507 100644
--- a/flu_instances/austin_input_files_2024_2025/daily_vaccines_East.csv
+++ b/flu_instances/austin_input_files_2024_2025/daily_vaccines_East.csv
@@ -1,306 +1,306 @@
 "","date","daily_vaccines"
-"1","2024-07-31","[[0.057797],[0.042162],[0.013337],[0.006735],[0.033037]]"
-"2","2024-08-01","[[0.001473],[0.001189],[0.00047],[0.000335],[0.000898]]"
-"3","2024-08-02","[[0.001507],[0.001219],[0.000485],[0.000351],[0.000921]]"
-"4","2024-08-03","[[0.001541],[0.00125],[0.000501],[0.000368],[0.000944]]"
-"5","2024-08-04","[[0.001576],[0.001282],[0.000518],[0.000386],[0.000968]]"
-"6","2024-08-05","[[0.001612],[0.001314],[0.000535],[0.000404],[0.000992]]"
-"7","2024-08-06","[[0.001648],[0.001347],[0.000552],[0.000424],[0.001017]]"
-"8","2024-08-07","[[0.001684],[0.00138],[0.00057],[0.000444],[0.001043]]"
-"9","2024-08-08","[[0.001722],[0.001414],[0.000589],[0.000466],[0.001068]]"
-"10","2024-08-09","[[0.00176],[0.001449],[0.000608],[0.000488],[0.001095]]"
-"11","2024-08-10","[[0.001798],[0.001484],[0.000627],[0.000511],[0.001122]]"
-"12","2024-08-11","[[0.001837],[0.00152],[0.000647],[0.000535],[0.001149]]"
-"13","2024-08-12","[[0.001876],[0.001556],[0.000667],[0.000561],[0.001177]]"
-"14","2024-08-13","[[0.001916],[0.001593],[0.000688],[0.000587],[0.001206]]"
-"15","2024-08-14","[[0.001957],[0.00163],[0.00071],[0.000615],[0.001235]]"
-"16","2024-08-15","[[0.001998],[0.001668],[0.000732],[0.000643],[0.001264]]"
-"17","2024-08-16","[[0.00204],[0.001707],[0.000754],[0.000673],[0.001294]]"
-"18","2024-08-17","[[0.002082],[0.001746],[0.000777],[0.000705],[0.001325]]"
-"19","2024-08-18","[[0.002125],[0.001785],[0.000801],[0.000737],[0.001356]]"
-"20","2024-08-19","[[0.002168],[0.001825],[0.000825],[0.000771],[0.001388]]"
-"21","2024-08-20","[[0.002212],[0.001866],[0.00085],[0.000806],[0.00142]]"
-"22","2024-08-21","[[0.002256],[0.001907],[0.000875],[0.000843],[0.001453]]"
-"23","2024-08-22","[[0.0023],[0.001949],[0.0009],[0.000881],[0.001486]]"
-"24","2024-08-23","[[0.002345],[0.001991],[0.000927],[0.000921],[0.00152]]"
-"25","2024-08-24","[[0.002391],[0.002033],[0.000953],[0.000962],[0.001555]]"
-"26","2024-08-25","[[0.002436],[0.002076],[0.000981],[0.001005],[0.00159]]"
-"27","2024-08-26","[[0.002483],[0.002119],[0.001008],[0.001049],[0.001625]]"
-"28","2024-08-27","[[0.002529],[0.002163],[0.001037],[0.001095],[0.001661]]"
-"29","2024-08-28","[[0.002576],[0.002207],[0.001065],[0.001143],[0.001698]]"
-"30","2024-08-29","[[0.002623],[0.002251],[0.001095],[0.001192],[0.001735]]"
-"31","2024-08-30","[[0.002671],[0.002295],[0.001124],[0.001243],[0.001772]]"
-"32","2024-08-31","[[0.002718],[0.00234],[0.001154],[0.001296],[0.001811]]"
-"33","2024-09-01","[[0.002766],[0.002385],[0.001185],[0.00135],[0.001849]]"
-"34","2024-09-02","[[0.002814],[0.00243],[0.001216],[0.001406],[0.001888]]"
-"35","2024-09-03","[[0.002863],[0.002475],[0.001247],[0.001464],[0.001927]]"
-"36","2024-09-04","[[0.002911],[0.002521],[0.001279],[0.001524],[0.001967]]"
-"37","2024-09-05","[[0.00296],[0.002566],[0.001311],[0.001585],[0.002008]]"
-"38","2024-09-06","[[0.003008],[0.002612],[0.001343],[0.001648],[0.002048]]"
-"39","2024-09-07","[[0.003057],[0.002657],[0.001376],[0.001713],[0.002089]]"
-"40","2024-09-08","[[0.003106],[0.002702],[0.001409],[0.00178],[0.002131]]"
-"41","2024-09-09","[[0.003154],[0.002748],[0.001442],[0.001848],[0.002173]]"
-"42","2024-09-10","[[0.003203],[0.002793],[0.001475],[0.001918],[0.002215]]"
-"43","2024-09-11","[[0.003251],[0.002838],[0.001508],[0.001989],[0.002257]]"
-"44","2024-09-12","[[0.003299],[0.002882],[0.001542],[0.002062],[0.0023]]"
-"45","2024-09-13","[[0.003347],[0.002927],[0.001576],[0.002136],[0.002343]]"
-"46","2024-09-14","[[0.003395],[0.002971],[0.001609],[0.002212],[0.002386]]"
-"47","2024-09-15","[[0.003443],[0.003014],[0.001643],[0.002289],[0.00243]]"
-"48","2024-09-16","[[0.00349],[0.003058],[0.001676],[0.002367],[0.002474]]"
-"49","2024-09-17","[[0.003536],[0.0031],[0.00171],[0.002446],[0.002517]]"
-"50","2024-09-18","[[0.003583],[0.003143],[0.001743],[0.002526],[0.002561]]"
-"51","2024-09-19","[[0.003629],[0.003184],[0.001776],[0.002606],[0.002605]]"
-"52","2024-09-20","[[0.003674],[0.003225],[0.001809],[0.002687],[0.002649]]"
-"53","2024-09-21","[[0.003719],[0.003265],[0.001841],[0.002769],[0.002694]]"
-"54","2024-09-22","[[0.003763],[0.003304],[0.001874],[0.002851],[0.002738]]"
-"55","2024-09-23","[[0.003806],[0.003343],[0.001905],[0.002932],[0.002782]]"
-"56","2024-09-24","[[0.003849],[0.003381],[0.001936],[0.003014],[0.002826]]"
-"57","2024-09-25","[[0.003891],[0.003417],[0.001967],[0.003095],[0.00287]]"
-"58","2024-09-26","[[0.003932],[0.003453],[0.001997],[0.003176],[0.002913]]"
-"59","2024-09-27","[[0.003973],[0.003488],[0.002026],[0.003255],[0.002957]]"
-"60","2024-09-28","[[0.004012],[0.003521],[0.002055],[0.003334],[0.003]]"
-"61","2024-09-29","[[0.004051],[0.003554],[0.002083],[0.003411],[0.003043]]"
-"62","2024-09-30","[[0.004088],[0.003585],[0.00211],[0.003487],[0.003086]]"
-"63","2024-10-01","[[0.004124],[0.003615],[0.002136],[0.003561],[0.003128]]"
-"64","2024-10-02","[[0.00416],[0.003643],[0.002161],[0.003633],[0.00317]]"
-"65","2024-10-03","[[0.004194],[0.003671],[0.002185],[0.003702],[0.003211]]"
-"66","2024-10-04","[[0.004227],[0.003697],[0.002208],[0.003769],[0.003252]]"
-"67","2024-10-05","[[0.004258],[0.003721],[0.00223],[0.003833],[0.003292]]"
-"68","2024-10-06","[[0.004289],[0.003744],[0.002251],[0.003893],[0.003332]]"
-"69","2024-10-07","[[0.004318],[0.003765],[0.00227],[0.00395],[0.003371]]"
-"70","2024-10-08","[[0.004346],[0.003785],[0.002288],[0.004004],[0.003409]]"
-"71","2024-10-09","[[0.004372],[0.003804],[0.002305],[0.004053],[0.003446]]"
-"72","2024-10-10","[[0.004397],[0.00382],[0.002321],[0.004099],[0.003483]]"
-"73","2024-10-11","[[0.00442],[0.003835],[0.002335],[0.00414],[0.003519]]"
-"74","2024-10-12","[[0.004442],[0.003848],[0.002348],[0.004177],[0.003554]]"
-"75","2024-10-13","[[0.004463],[0.00386],[0.002359],[0.004208],[0.003588]]"
-"76","2024-10-14","[[0.004481],[0.00387],[0.002369],[0.004236],[0.003621]]"
-"77","2024-10-15","[[0.004498],[0.003878],[0.002377],[0.004258],[0.003653]]"
-"78","2024-10-16","[[0.004514],[0.003884],[0.002383],[0.004275],[0.003684]]"
-"79","2024-10-17","[[0.004528],[0.003889],[0.002388],[0.004287],[0.003714]]"
-"80","2024-10-18","[[0.00454],[0.003892],[0.002392],[0.004293],[0.003742]]"
-"81","2024-10-19","[[0.004551],[0.003893],[0.002394],[0.004295],[0.00377]]"
-"82","2024-10-20","[[0.00456],[0.003892],[0.002394],[0.004291],[0.003796]]"
-"83","2024-10-21","[[0.004567],[0.003889],[0.002393],[0.004282],[0.003821]]"
-"84","2024-10-22","[[0.004572],[0.003885],[0.00239],[0.004267],[0.003844]]"
-"85","2024-10-23","[[0.004576],[0.003879],[0.002385],[0.004248],[0.003867]]"
-"86","2024-10-24","[[0.004578],[0.003871],[0.002379],[0.004224],[0.003887]]"
-"87","2024-10-25","[[0.004578],[0.003861],[0.002372],[0.004194],[0.003907]]"
-"88","2024-10-26","[[0.004576],[0.00385],[0.002363],[0.00416],[0.003925]]"
-"89","2024-10-27","[[0.004573],[0.003836],[0.002352],[0.004121],[0.003941]]"
-"90","2024-10-28","[[0.004568],[0.003822],[0.00234],[0.004078],[0.003956]]"
-"91","2024-10-29","[[0.004561],[0.003805],[0.002326],[0.004031],[0.00397]]"
-"92","2024-10-30","[[0.004553],[0.003787],[0.002311],[0.00398],[0.003981]]"
-"93","2024-10-31","[[0.004543],[0.003767],[0.002295],[0.003924],[0.003992]]"
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-"301","2025-05-27","[[0.000049],[0.00002],[0.000003],[0],[0.00005]]"
-"302","2025-05-28","[[0.000048],[0.000019],[0.000003],[0],[0.000049]]"
-"303","2025-05-29","[[0.000046],[0.000018],[0.000003],[0],[0.000047]]"
-"304","2025-05-30","[[0.000045],[0.000018],[0.000003],[0],[0.000046]]"
-"305","2025-05-31","[[0.000044],[0.000017],[0.000003],[0],[0.000045]]"
+"1","2024-07-31","[[0.062753, 0.062753],[0.04621, 0.04621],[0.014241, 0.014241],[0.007505, 0.007505],[0.036222, 0.036222]]"
+"2","2024-08-01","[[0.0016, 0.0016],[0.001298, 0.001298],[0.000506, 0.000506],[0.000371, 0.000371],[0.000984, 0.000984]]"
+"3","2024-08-02","[[0.001636, 0.001636],[0.001331, 0.001331],[0.000523, 0.000523],[0.000389, 0.000389],[0.001009, 0.001009]]"
+"4","2024-08-03","[[0.001674, 0.001674],[0.001365, 0.001365],[0.00054, 0.00054],[0.000408, 0.000408],[0.001035, 0.001035]]"
+"5","2024-08-04","[[0.001712, 0.001712],[0.001399, 0.001399],[0.000558, 0.000558],[0.000428, 0.000428],[0.001061, 0.001061]]"
+"6","2024-08-05","[[0.00175, 0.00175],[0.001434, 0.001434],[0.000577, 0.000577],[0.000448, 0.000448],[0.001087, 0.001087]]"
+"7","2024-08-06","[[0.001789, 0.001789],[0.00147, 0.00147],[0.000596, 0.000596],[0.00047, 0.00047],[0.001115, 0.001115]]"
+"8","2024-08-07","[[0.001829, 0.001829],[0.001506, 0.001506],[0.000615, 0.000615],[0.000492, 0.000492],[0.001142, 0.001142]]"
+"9","2024-08-08","[[0.00187, 0.00187],[0.001543, 0.001543],[0.000635, 0.000635],[0.000516, 0.000516],[0.001171, 0.001171]]"
+"10","2024-08-09","[[0.001911, 0.001911],[0.00158, 0.00158],[0.000656, 0.000656],[0.00054, 0.00054],[0.001199, 0.001199]]"
+"11","2024-08-10","[[0.001952, 0.001952],[0.001618, 0.001618],[0.000677, 0.000677],[0.000566, 0.000566],[0.001229, 0.001229]]"
+"12","2024-08-11","[[0.001995, 0.001995],[0.001657, 0.001657],[0.000699, 0.000699],[0.000593, 0.000593],[0.001259, 0.001259]]"
+"13","2024-08-12","[[0.002038, 0.002038],[0.001696, 0.001696],[0.000721, 0.000721],[0.00062, 0.00062],[0.00129, 0.00129]]"
+"14","2024-08-13","[[0.002081, 0.002081],[0.001736, 0.001736],[0.000744, 0.000744],[0.000649, 0.000649],[0.001321, 0.001321]]"
+"15","2024-08-14","[[0.002125, 0.002125],[0.001777, 0.001777],[0.000767, 0.000767],[0.00068, 0.00068],[0.001353, 0.001353]]"
+"16","2024-08-15","[[0.00217, 0.00217],[0.001818, 0.001818],[0.000791, 0.000791],[0.000711, 0.000711],[0.001385, 0.001385]]"
+"17","2024-08-16","[[0.002215, 0.002215],[0.00186, 0.00186],[0.000816, 0.000816],[0.000744, 0.000744],[0.001418, 0.001418]]"
+"18","2024-08-17","[[0.002261, 0.002261],[0.001902, 0.001902],[0.000841, 0.000841],[0.000779, 0.000779],[0.001451, 0.001451]]"
+"19","2024-08-18","[[0.002307, 0.002307],[0.001945, 0.001945],[0.000867, 0.000867],[0.000814, 0.000814],[0.001486, 0.001486]]"
+"20","2024-08-19","[[0.002354, 0.002354],[0.001989, 0.001989],[0.000893, 0.000893],[0.000852, 0.000852],[0.00152, 0.00152]]"
+"21","2024-08-20","[[0.002402, 0.002402],[0.002033, 0.002033],[0.00092, 0.00092],[0.00089, 0.00089],[0.001556, 0.001556]]"
+"22","2024-08-21","[[0.00245, 0.00245],[0.002077, 0.002077],[0.000947, 0.000947],[0.000931, 0.000931],[0.001592, 0.001592]]"
+"23","2024-08-22","[[0.002498, 0.002498],[0.002122, 0.002122],[0.000976, 0.000976],[0.000973, 0.000973],[0.001628, 0.001628]]"
+"24","2024-08-23","[[0.002547, 0.002547],[0.002168, 0.002168],[0.001004, 0.001004],[0.001016, 0.001016],[0.001665, 0.001665]]"
+"25","2024-08-24","[[0.002596, 0.002596],[0.002214, 0.002214],[0.001034, 0.001034],[0.001061, 0.001061],[0.001703, 0.001703]]"
+"26","2024-08-25","[[0.002646, 0.002646],[0.00226, 0.00226],[0.001063, 0.001063],[0.001108, 0.001108],[0.001741, 0.001741]]"
+"27","2024-08-26","[[0.002696, 0.002696],[0.002307, 0.002307],[0.001094, 0.001094],[0.001157, 0.001157],[0.00178, 0.00178]]"
+"28","2024-08-27","[[0.002747, 0.002747],[0.002354, 0.002354],[0.001125, 0.001125],[0.001207, 0.001207],[0.00182, 0.00182]]"
+"29","2024-08-28","[[0.002798, 0.002798],[0.002402, 0.002402],[0.001156, 0.001156],[0.001259, 0.001259],[0.001859, 0.001859]]"
+"30","2024-08-29","[[0.002849, 0.002849],[0.00245, 0.00245],[0.001188, 0.001188],[0.001313, 0.001313],[0.0019, 0.0019]]"
+"31","2024-08-30","[[0.0029, 0.0029],[0.002498, 0.002498],[0.001221, 0.001221],[0.001369, 0.001369],[0.001941, 0.001941]]"
+"32","2024-08-31","[[0.002952, 0.002952],[0.002547, 0.002547],[0.001254, 0.001254],[0.001426, 0.001426],[0.001983, 0.001983]]"
+"33","2024-09-01","[[0.003004, 0.003004],[0.002595, 0.002595],[0.001287, 0.001287],[0.001486, 0.001486],[0.002025, 0.002025]]"
+"34","2024-09-02","[[0.003057, 0.003057],[0.002644, 0.002644],[0.001321, 0.001321],[0.001547, 0.001547],[0.002067, 0.002067]]"
+"35","2024-09-03","[[0.003109, 0.003109],[0.002693, 0.002693],[0.001356, 0.001356],[0.001611, 0.001611],[0.002111, 0.002111]]"
+"36","2024-09-04","[[0.003162, 0.003162],[0.002742, 0.002742],[0.001391, 0.001391],[0.001676, 0.001676],[0.002154, 0.002154]]"
+"37","2024-09-05","[[0.003214, 0.003214],[0.002791, 0.002791],[0.001426, 0.001426],[0.001743, 0.001743],[0.002198, 0.002198]]"
+"38","2024-09-06","[[0.003267, 0.003267],[0.002841, 0.002841],[0.001461, 0.001461],[0.001812, 0.001812],[0.002243, 0.002243]]"
+"39","2024-09-07","[[0.00332, 0.00332],[0.00289, 0.00289],[0.001497, 0.001497],[0.001883, 0.001883],[0.002288, 0.002288]]"
+"40","2024-09-08","[[0.003373, 0.003373],[0.002939, 0.002939],[0.001533, 0.001533],[0.001955, 0.001955],[0.002333, 0.002333]]"
+"41","2024-09-09","[[0.003426, 0.003426],[0.002988, 0.002988],[0.00157, 0.00157],[0.00203, 0.00203],[0.002379, 0.002379]]"
+"42","2024-09-10","[[0.003478, 0.003478],[0.003037, 0.003037],[0.001606, 0.001606],[0.002106, 0.002106],[0.002425, 0.002425]]"
+"43","2024-09-11","[[0.003531, 0.003531],[0.003085, 0.003085],[0.001643, 0.001643],[0.002183, 0.002183],[0.002471, 0.002471]]"
+"44","2024-09-12","[[0.003583, 0.003583],[0.003134, 0.003134],[0.00168, 0.00168],[0.002263, 0.002263],[0.002518, 0.002518]]"
+"45","2024-09-13","[[0.003635, 0.003635],[0.003182, 0.003182],[0.001717, 0.001717],[0.002343, 0.002343],[0.002565, 0.002565]]"
+"46","2024-09-14","[[0.003687, 0.003687],[0.003229, 0.003229],[0.001754, 0.001754],[0.002426, 0.002426],[0.002612, 0.002612]]"
+"47","2024-09-15","[[0.003739, 0.003739],[0.003277, 0.003277],[0.001791, 0.001791],[0.002509, 0.002509],[0.00266, 0.00266]]"
+"48","2024-09-16","[[0.00379, 0.00379],[0.003323, 0.003323],[0.001828, 0.001828],[0.002594, 0.002594],[0.002708, 0.002708]]"
+"49","2024-09-17","[[0.003841, 0.003841],[0.00337, 0.00337],[0.001865, 0.001865],[0.00268, 0.00268],[0.002755, 0.002755]]"
+"50","2024-09-18","[[0.003891, 0.003891],[0.003415, 0.003415],[0.001901, 0.001901],[0.002766, 0.002766],[0.002803, 0.002803]]"
+"51","2024-09-19","[[0.003941, 0.003941],[0.00346, 0.00346],[0.001938, 0.001938],[0.002853, 0.002853],[0.002852, 0.002852]]"
+"52","2024-09-20","[[0.00399, 0.00399],[0.003504, 0.003504],[0.001974, 0.001974],[0.002941, 0.002941],[0.0029, 0.0029]]"
+"53","2024-09-21","[[0.004039, 0.004039],[0.003548, 0.003548],[0.00201, 0.00201],[0.00303, 0.00303],[0.002948, 0.002948]]"
+"54","2024-09-22","[[0.004087, 0.004087],[0.00359, 0.00359],[0.002045, 0.002045],[0.003118, 0.003118],[0.002996, 0.002996]]"
+"55","2024-09-23","[[0.004134, 0.004134],[0.003632, 0.003632],[0.00208, 0.00208],[0.003207, 0.003207],[0.003044, 0.003044]]"
+"56","2024-09-24","[[0.00418, 0.00418],[0.003673, 0.003673],[0.002114, 0.002114],[0.003295, 0.003295],[0.003092, 0.003092]]"
+"57","2024-09-25","[[0.004226, 0.004226],[0.003713, 0.003713],[0.002148, 0.002148],[0.003383, 0.003383],[0.00314, 0.00314]]"
+"58","2024-09-26","[[0.004271, 0.004271],[0.003751, 0.003751],[0.002181, 0.002181],[0.00347, 0.00347],[0.003188, 0.003188]]"
+"59","2024-09-27","[[0.004315, 0.004315],[0.003789, 0.003789],[0.002214, 0.002214],[0.003556, 0.003556],[0.003235, 0.003235]]"
+"60","2024-09-28","[[0.004357, 0.004357],[0.003825, 0.003825],[0.002245, 0.002245],[0.003641, 0.003641],[0.003282, 0.003282]]"
+"61","2024-09-29","[[0.004399, 0.004399],[0.00386, 0.00386],[0.002276, 0.002276],[0.003724, 0.003724],[0.003329, 0.003329]]"
+"62","2024-09-30","[[0.00444, 0.00444],[0.003894, 0.003894],[0.002305, 0.002305],[0.003806, 0.003806],[0.003376, 0.003376]]"
+"63","2024-10-01","[[0.004479, 0.004479],[0.003926, 0.003926],[0.002334, 0.002334],[0.003885, 0.003885],[0.003422, 0.003422]]"
+"64","2024-10-02","[[0.004518, 0.004518],[0.003957, 0.003957],[0.002362, 0.002362],[0.003962, 0.003962],[0.003467, 0.003467]]"
+"65","2024-10-03","[[0.004555, 0.004555],[0.003987, 0.003987],[0.002388, 0.002388],[0.004037, 0.004037],[0.003513, 0.003513]]"
+"66","2024-10-04","[[0.00459, 0.00459],[0.004015, 0.004015],[0.002414, 0.002414],[0.004108, 0.004108],[0.003557, 0.003557]]"
+"67","2024-10-05","[[0.004625, 0.004625],[0.004042, 0.004042],[0.002438, 0.002438],[0.004177, 0.004177],[0.003601, 0.003601]]"
+"68","2024-10-06","[[0.004658, 0.004658],[0.004066, 0.004066],[0.002461, 0.002461],[0.004242, 0.004242],[0.003644, 0.003644]]"
+"69","2024-10-07","[[0.004689, 0.004689],[0.00409, 0.00409],[0.002482, 0.002482],[0.004303, 0.004303],[0.003687, 0.003687]]"
+"70","2024-10-08","[[0.004719, 0.004719],[0.004111, 0.004111],[0.002502, 0.002502],[0.00436, 0.00436],[0.003728, 0.003728]]"
+"71","2024-10-09","[[0.004748, 0.004748],[0.004131, 0.004131],[0.00252, 0.00252],[0.004413, 0.004413],[0.003769, 0.003769]]"
+"72","2024-10-10","[[0.004775, 0.004775],[0.004149, 0.004149],[0.002537, 0.002537],[0.004461, 0.004461],[0.003809, 0.003809]]"
+"73","2024-10-11","[[0.0048, 0.0048],[0.004165, 0.004165],[0.002553, 0.002553],[0.004505, 0.004505],[0.003848, 0.003848]]"
+"74","2024-10-12","[[0.004824, 0.004824],[0.00418, 0.00418],[0.002567, 0.002567],[0.004544, 0.004544],[0.003886, 0.003886]]"
+"75","2024-10-13","[[0.004846, 0.004846],[0.004192, 0.004192],[0.002579, 0.002579],[0.004578, 0.004578],[0.003923, 0.003923]]"
+"76","2024-10-14","[[0.004867, 0.004867],[0.004203, 0.004203],[0.002589, 0.002589],[0.004606, 0.004606],[0.003959, 0.003959]]"
+"77","2024-10-15","[[0.004885, 0.004885],[0.004212, 0.004212],[0.002598, 0.002598],[0.004629, 0.004629],[0.003994, 0.003994]]"
+"78","2024-10-16","[[0.004902, 0.004902],[0.004219, 0.004219],[0.002605, 0.002605],[0.004647, 0.004647],[0.004028, 0.004028]]"
+"79","2024-10-17","[[0.004917, 0.004917],[0.004224, 0.004224],[0.002611, 0.002611],[0.004659, 0.004659],[0.00406, 0.00406]]"
+"80","2024-10-18","[[0.00493, 0.00493],[0.004227, 0.004227],[0.002614, 0.002614],[0.004666, 0.004666],[0.004092, 0.004092]]"
+"81","2024-10-19","[[0.004942, 0.004942],[0.004228, 0.004228],[0.002616, 0.002616],[0.004666, 0.004666],[0.004121, 0.004121]]"
+"82","2024-10-20","[[0.004952, 0.004952],[0.004228, 0.004228],[0.002616, 0.002616],[0.004661, 0.004661],[0.00415, 0.00415]]"
+"83","2024-10-21","[[0.004959, 0.004959],[0.004225, 0.004225],[0.002615, 0.002615],[0.004651, 0.004651],[0.004177, 0.004177]]"
+"84","2024-10-22","[[0.004965, 0.004965],[0.00422, 0.00422],[0.002611, 0.002611],[0.004635, 0.004635],[0.004202, 0.004202]]"
+"85","2024-10-23","[[0.004969, 0.004969],[0.004214, 0.004214],[0.002606, 0.002606],[0.004613, 0.004613],[0.004227, 0.004227]]"
+"86","2024-10-24","[[0.004971, 0.004971],[0.004205, 0.004205],[0.002599, 0.002599],[0.004586, 0.004586],[0.004249, 0.004249]]"
+"87","2024-10-25","[[0.004971, 0.004971],[0.004195, 0.004195],[0.002591, 0.002591],[0.004554, 0.004554],[0.00427, 0.00427]]"
+"88","2024-10-26","[[0.00497, 0.00497],[0.004183, 0.004183],[0.00258, 0.00258],[0.004516, 0.004516],[0.00429, 0.00429]]"
+"89","2024-10-27","[[0.004966, 0.004966],[0.004169, 0.004169],[0.002568, 0.002568],[0.004474, 0.004474],[0.004308, 0.004308]]"
+"90","2024-10-28","[[0.004961, 0.004961],[0.004153, 0.004153],[0.002555, 0.002555],[0.004427, 0.004427],[0.004324, 0.004324]]"
+"91","2024-10-29","[[0.004953, 0.004953],[0.004135, 0.004135],[0.002539, 0.002539],[0.004375, 0.004375],[0.004338, 0.004338]]"
+"92","2024-10-30","[[0.004944, 0.004944],[0.004116, 0.004116],[0.002523, 0.002523],[0.004319, 0.004319],[0.004351, 0.004351]]"
+"93","2024-10-31","[[0.004933, 0.004933],[0.004095, 0.004095],[0.002504, 0.002504],[0.004259, 0.004259],[0.004362, 0.004362]]"
+"94","2024-11-01","[[0.00492, 0.00492],[0.004072, 0.004072],[0.002484, 0.002484],[0.004195, 0.004195],[0.004371, 0.004371]]"
+"95","2024-11-02","[[0.004905, 0.004905],[0.004047, 0.004047],[0.002463, 0.002463],[0.004127, 0.004127],[0.004379, 0.004379]]"
+"96","2024-11-03","[[0.004889, 0.004889],[0.004021, 0.004021],[0.002441, 0.002441],[0.004057, 0.004057],[0.004385, 0.004385]]"
+"97","2024-11-04","[[0.00487, 0.00487],[0.003994, 0.003994],[0.002417, 0.002417],[0.003983, 0.003983],[0.004389, 0.004389]]"
+"98","2024-11-05","[[0.00485, 0.00485],[0.003964, 0.003964],[0.002391, 0.002391],[0.003906, 0.003906],[0.004391, 0.004391]]"
+"99","2024-11-06","[[0.004829, 0.004829],[0.003934, 0.003934],[0.002365, 0.002365],[0.003827, 0.003827],[0.004392, 0.004392]]"
+"100","2024-11-07","[[0.004805, 0.004805],[0.003902, 0.003902],[0.002337, 0.002337],[0.003746, 0.003746],[0.00439, 0.00439]]"
+"101","2024-11-08","[[0.00478, 0.00478],[0.003868, 0.003868],[0.002309, 0.002309],[0.003664, 0.003664],[0.004387, 0.004387]]"
+"102","2024-11-09","[[0.004753, 0.004753],[0.003833, 0.003833],[0.002279, 0.002279],[0.003579, 0.003579],[0.004383, 0.004383]]"
+"103","2024-11-10","[[0.004725, 0.004725],[0.003797, 0.003797],[0.002249, 0.002249],[0.003493, 0.003493],[0.004376, 0.004376]]"
+"104","2024-11-11","[[0.004695, 0.004695],[0.00376, 0.00376],[0.002217, 0.002217],[0.003406, 0.003406],[0.004368, 0.004368]]"
+"105","2024-11-12","[[0.004664, 0.004664],[0.003722, 0.003722],[0.002185, 0.002185],[0.003319, 0.003319],[0.004357, 0.004357]]"
+"106","2024-11-13","[[0.004631, 0.004631],[0.003682, 0.003682],[0.002152, 0.002152],[0.003231, 0.003231],[0.004346, 0.004346]]"
+"107","2024-11-14","[[0.004597, 0.004597],[0.003642, 0.003642],[0.002118, 0.002118],[0.003142, 0.003142],[0.004332, 0.004332]]"
+"108","2024-11-15","[[0.004562, 0.004562],[0.0036, 0.0036],[0.002084, 0.002084],[0.003054, 0.003054],[0.004317, 0.004317]]"
+"109","2024-11-16","[[0.004525, 0.004525],[0.003558, 0.003558],[0.002049, 0.002049],[0.002965, 0.002965],[0.0043, 0.0043]]"
+"110","2024-11-17","[[0.004487, 0.004487],[0.003514, 0.003514],[0.002014, 0.002014],[0.002877, 0.002877],[0.004281, 0.004281]]"
+"111","2024-11-18","[[0.004447, 0.004447],[0.00347, 0.00347],[0.001978, 0.001978],[0.00279, 0.00279],[0.004261, 0.004261]]"
+"112","2024-11-19","[[0.004407, 0.004407],[0.003426, 0.003426],[0.001942, 0.001942],[0.002703, 0.002703],[0.004239, 0.004239]]"
+"113","2024-11-20","[[0.004365, 0.004365],[0.00338, 0.00338],[0.001906, 0.001906],[0.002617, 0.002617],[0.004216, 0.004216]]"
+"114","2024-11-21","[[0.004323, 0.004323],[0.003334, 0.003334],[0.001869, 0.001869],[0.002532, 0.002532],[0.004191, 0.004191]]"
+"115","2024-11-22","[[0.004279, 0.004279],[0.003287, 0.003287],[0.001832, 0.001832],[0.002448, 0.002448],[0.004165, 0.004165]]"
+"116","2024-11-23","[[0.004235, 0.004235],[0.00324, 0.00324],[0.001795, 0.001795],[0.002366, 0.002366],[0.004137, 0.004137]]"
+"117","2024-11-24","[[0.004189, 0.004189],[0.003193, 0.003193],[0.001758, 0.001758],[0.002284, 0.002284],[0.004108, 0.004108]]"
+"118","2024-11-25","[[0.004143, 0.004143],[0.003145, 0.003145],[0.001721, 0.001721],[0.002205, 0.002205],[0.004078, 0.004078]]"
+"119","2024-11-26","[[0.004096, 0.004096],[0.003096, 0.003096],[0.001684, 0.001684],[0.002127, 0.002127],[0.004046, 0.004046]]"
+"120","2024-11-27","[[0.004048, 0.004048],[0.003048, 0.003048],[0.001647, 0.001647],[0.00205, 0.00205],[0.004013, 0.004013]]"
+"121","2024-11-28","[[0.004, 0.004],[0.002999, 0.002999],[0.001611, 0.001611],[0.001975, 0.001975],[0.003979, 0.003979]]"
+"122","2024-11-29","[[0.003951, 0.003951],[0.00295, 0.00295],[0.001574, 0.001574],[0.001902, 0.001902],[0.003944, 0.003944]]"
+"123","2024-11-30","[[0.003901, 0.003901],[0.002901, 0.002901],[0.001538, 0.001538],[0.001831, 0.001831],[0.003907, 0.003907]]"
+"124","2024-12-01","[[0.003851, 0.003851],[0.002852, 0.002852],[0.001501, 0.001501],[0.001761, 0.001761],[0.00387, 0.00387]]"
+"125","2024-12-02","[[0.0038, 0.0038],[0.002803, 0.002803],[0.001465, 0.001465],[0.001694, 0.001694],[0.003831, 0.003831]]"
+"126","2024-12-03","[[0.003749, 0.003749],[0.002753, 0.002753],[0.00143, 0.00143],[0.001628, 0.001628],[0.003792, 0.003792]]"
+"127","2024-12-04","[[0.003697, 0.003697],[0.002704, 0.002704],[0.001395, 0.001395],[0.001564, 0.001564],[0.003751, 0.003751]]"
+"128","2024-12-05","[[0.003645, 0.003645],[0.002655, 0.002655],[0.00136, 0.00136],[0.001502, 0.001502],[0.00371, 0.00371]]"
+"129","2024-12-06","[[0.003593, 0.003593],[0.002606, 0.002606],[0.001325, 0.001325],[0.001442, 0.001442],[0.003668, 0.003668]]"
+"130","2024-12-07","[[0.003541, 0.003541],[0.002558, 0.002558],[0.001291, 0.001291],[0.001384, 0.001384],[0.003625, 0.003625]]"
+"131","2024-12-08","[[0.003488, 0.003488],[0.002509, 0.002509],[0.001258, 0.001258],[0.001328, 0.001328],[0.003582, 0.003582]]"
+"132","2024-12-09","[[0.003436, 0.003436],[0.002461, 0.002461],[0.001225, 0.001225],[0.001273, 0.001273],[0.003538, 0.003538]]"
+"133","2024-12-10","[[0.003383, 0.003383],[0.002413, 0.002413],[0.001192, 0.001192],[0.001221, 0.001221],[0.003493, 0.003493]]"
+"134","2024-12-11","[[0.00333, 0.00333],[0.002365, 0.002365],[0.00116, 0.00116],[0.00117, 0.00117],[0.003447, 0.003447]]"
+"135","2024-12-12","[[0.003277, 0.003277],[0.002318, 0.002318],[0.001128, 0.001128],[0.001121, 0.001121],[0.003402, 0.003402]]"
+"136","2024-12-13","[[0.003225, 0.003225],[0.002271, 0.002271],[0.001097, 0.001097],[0.001074, 0.001074],[0.003355, 0.003355]]"
+"137","2024-12-14","[[0.003172, 0.003172],[0.002224, 0.002224],[0.001067, 0.001067],[0.001028, 0.001028],[0.003309, 0.003309]]"
+"138","2024-12-15","[[0.003119, 0.003119],[0.002178, 0.002178],[0.001037, 0.001037],[0.000984, 0.000984],[0.003262, 0.003262]]"
+"139","2024-12-16","[[0.003067, 0.003067],[0.002133, 0.002133],[0.001008, 0.001008],[0.000942, 0.000942],[0.003214, 0.003214]]"
+"140","2024-12-17","[[0.003014, 0.003014],[0.002088, 0.002088],[0.000979, 0.000979],[0.000901, 0.000901],[0.003167, 0.003167]]"
+"141","2024-12-18","[[0.002962, 0.002962],[0.002043, 0.002043],[0.000951, 0.000951],[0.000862, 0.000862],[0.003119, 0.003119]]"
+"142","2024-12-19","[[0.00291, 0.00291],[0.001999, 0.001999],[0.000923, 0.000923],[0.000824, 0.000824],[0.003071, 0.003071]]"
+"143","2024-12-20","[[0.002859, 0.002859],[0.001955, 0.001955],[0.000896, 0.000896],[0.000788, 0.000788],[0.003023, 0.003023]]"
+"144","2024-12-21","[[0.002808, 0.002808],[0.001912, 0.001912],[0.00087, 0.00087],[0.000754, 0.000754],[0.002975, 0.002975]]"
+"145","2024-12-22","[[0.002757, 0.002757],[0.00187, 0.00187],[0.000844, 0.000844],[0.00072, 0.00072],[0.002927, 0.002927]]"
+"146","2024-12-23","[[0.002706, 0.002706],[0.001828, 0.001828],[0.000819, 0.000819],[0.000688, 0.000688],[0.002879, 0.002879]]"
+"147","2024-12-24","[[0.002656, 0.002656],[0.001786, 0.001786],[0.000794, 0.000794],[0.000658, 0.000658],[0.00283, 0.00283]]"
+"148","2024-12-25","[[0.002606, 0.002606],[0.001746, 0.001746],[0.00077, 0.00077],[0.000628, 0.000628],[0.002782, 0.002782]]"
+"149","2024-12-26","[[0.002557, 0.002557],[0.001705, 0.001705],[0.000746, 0.000746],[0.0006, 0.0006],[0.002734, 0.002734]]"
+"150","2024-12-27","[[0.002508, 0.002508],[0.001666, 0.001666],[0.000724, 0.000724],[0.000573, 0.000573],[0.002687, 0.002687]]"
+"151","2024-12-28","[[0.002459, 0.002459],[0.001627, 0.001627],[0.000701, 0.000701],[0.000547, 0.000547],[0.002639, 0.002639]]"
+"152","2024-12-29","[[0.002411, 0.002411],[0.001589, 0.001589],[0.000679, 0.000679],[0.000522, 0.000522],[0.002591, 0.002591]]"
+"153","2024-12-30","[[0.002364, 0.002364],[0.001551, 0.001551],[0.000658, 0.000658],[0.000498, 0.000498],[0.002544, 0.002544]]"
+"154","2024-12-31","[[0.002317, 0.002317],[0.001514, 0.001514],[0.000638, 0.000638],[0.000476, 0.000476],[0.002497, 0.002497]]"
+"155","2025-01-01","[[0.00227, 0.00227],[0.001478, 0.001478],[0.000617, 0.000617],[0.000454, 0.000454],[0.002451, 0.002451]]"
+"156","2025-01-02","[[0.002224, 0.002224],[0.001442, 0.001442],[0.000598, 0.000598],[0.000433, 0.000433],[0.002405, 0.002405]]"
+"157","2025-01-03","[[0.002179, 0.002179],[0.001407, 0.001407],[0.000579, 0.000579],[0.000413, 0.000413],[0.002359, 0.002359]]"
+"158","2025-01-04","[[0.002134, 0.002134],[0.001373, 0.001373],[0.00056, 0.00056],[0.000394, 0.000394],[0.002313, 0.002313]]"
+"159","2025-01-05","[[0.00209, 0.00209],[0.001339, 0.001339],[0.000542, 0.000542],[0.000376, 0.000376],[0.002268, 0.002268]]"
+"160","2025-01-06","[[0.002046, 0.002046],[0.001306, 0.001306],[0.000525, 0.000525],[0.000359, 0.000359],[0.002223, 0.002223]]"
+"161","2025-01-07","[[0.002003, 0.002003],[0.001273, 0.001273],[0.000508, 0.000508],[0.000342, 0.000342],[0.002179, 0.002179]]"
+"162","2025-01-08","[[0.001961, 0.001961],[0.001241, 0.001241],[0.000491, 0.000491],[0.000326, 0.000326],[0.002135, 0.002135]]"
+"163","2025-01-09","[[0.001919, 0.001919],[0.00121, 0.00121],[0.000475, 0.000475],[0.000311, 0.000311],[0.002092, 0.002092]]"
+"164","2025-01-10","[[0.001878, 0.001878],[0.001179, 0.001179],[0.00046, 0.00046],[0.000297, 0.000297],[0.002049, 0.002049]]"
+"165","2025-01-11","[[0.001837, 0.001837],[0.001149, 0.001149],[0.000444, 0.000444],[0.000283, 0.000283],[0.002006, 0.002006]]"
+"166","2025-01-12","[[0.001797, 0.001797],[0.00112, 0.00112],[0.00043, 0.00043],[0.00027, 0.00027],[0.001964, 0.001964]]"
+"167","2025-01-13","[[0.001758, 0.001758],[0.001091, 0.001091],[0.000416, 0.000416],[0.000257, 0.000257],[0.001923, 0.001923]]"
+"168","2025-01-14","[[0.001719, 0.001719],[0.001063, 0.001063],[0.000402, 0.000402],[0.000245, 0.000245],[0.001882, 0.001882]]"
+"169","2025-01-15","[[0.001681, 0.001681],[0.001036, 0.001036],[0.000388, 0.000388],[0.000233, 0.000233],[0.001842, 0.001842]]"
+"170","2025-01-16","[[0.001644, 0.001644],[0.001009, 0.001009],[0.000375, 0.000375],[0.000223, 0.000223],[0.001802, 0.001802]]"
+"171","2025-01-17","[[0.001607, 0.001607],[0.000982, 0.000982],[0.000363, 0.000363],[0.000212, 0.000212],[0.001763, 0.001763]]"
+"172","2025-01-18","[[0.001571, 0.001571],[0.000957, 0.000957],[0.000351, 0.000351],[0.000202, 0.000202],[0.001724, 0.001724]]"
+"173","2025-01-19","[[0.001535, 0.001535],[0.000932, 0.000932],[0.000339, 0.000339],[0.000193, 0.000193],[0.001686, 0.001686]]"
+"174","2025-01-20","[[0.0015, 0.0015],[0.000907, 0.000907],[0.000327, 0.000327],[0.000183, 0.000183],[0.001649, 0.001649]]"
+"175","2025-01-21","[[0.001466, 0.001466],[0.000883, 0.000883],[0.000316, 0.000316],[0.000175, 0.000175],[0.001612, 0.001612]]"
+"176","2025-01-22","[[0.001432, 0.001432],[0.000859, 0.000859],[0.000306, 0.000306],[0.000167, 0.000167],[0.001576, 0.001576]]"
+"177","2025-01-23","[[0.001399, 0.001399],[0.000837, 0.000837],[0.000295, 0.000295],[0.000159, 0.000159],[0.00154, 0.00154]]"
+"178","2025-01-24","[[0.001367, 0.001367],[0.000814, 0.000814],[0.000285, 0.000285],[0.000151, 0.000151],[0.001505, 0.001505]]"
+"179","2025-01-25","[[0.001335, 0.001335],[0.000792, 0.000792],[0.000275, 0.000275],[0.000144, 0.000144],[0.001471, 0.001471]]"
+"180","2025-01-26","[[0.001304, 0.001304],[0.000771, 0.000771],[0.000266, 0.000266],[0.000137, 0.000137],[0.001437, 0.001437]]"
+"181","2025-01-27","[[0.001273, 0.001273],[0.00075, 0.00075],[0.000257, 0.000257],[0.000131, 0.000131],[0.001403, 0.001403]]"
+"182","2025-01-28","[[0.001243, 0.001243],[0.00073, 0.00073],[0.000248, 0.000248],[0.000124, 0.000124],[0.001371, 0.001371]]"
+"183","2025-01-29","[[0.001214, 0.001214],[0.00071, 0.00071],[0.00024, 0.00024],[0.000119, 0.000119],[0.001338, 0.001338]]"
+"184","2025-01-30","[[0.001185, 0.001185],[0.000691, 0.000691],[0.000231, 0.000231],[0.000113, 0.000113],[0.001307, 0.001307]]"
+"185","2025-01-31","[[0.001156, 0.001156],[0.000672, 0.000672],[0.000223, 0.000223],[0.000108, 0.000108],[0.001276, 0.001276]]"
+"186","2025-02-01","[[0.001129, 0.001129],[0.000653, 0.000653],[0.000216, 0.000216],[0.000102, 0.000102],[0.001246, 0.001246]]"
+"187","2025-02-02","[[0.001102, 0.001102],[0.000635, 0.000635],[0.000208, 0.000208],[0.000098, 0.000098],[0.001216, 0.001216]]"
+"188","2025-02-03","[[0.001075, 0.001075],[0.000618, 0.000618],[0.000201, 0.000201],[0.000093, 0.000093],[0.001187, 0.001187]]"
+"189","2025-02-04","[[0.001049, 0.001049],[0.000601, 0.000601],[0.000194, 0.000194],[0.000089, 0.000089],[0.001158, 0.001158]]"
+"190","2025-02-05","[[0.001024, 0.001024],[0.000584, 0.000584],[0.000187, 0.000187],[0.000084, 0.000084],[0.00113, 0.00113]]"
+"191","2025-02-06","[[0.000999, 0.000999],[0.000568, 0.000568],[0.000181, 0.000181],[0.00008, 0.00008],[0.001103, 0.001103]]"
+"192","2025-02-07","[[0.000974, 0.000974],[0.000552, 0.000552],[0.000174, 0.000174],[0.000076, 0.000076],[0.001076, 0.001076]]"
+"193","2025-02-08","[[0.000951, 0.000951],[0.000537, 0.000537],[0.000168, 0.000168],[0.000073, 0.000073],[0.001049, 0.001049]]"
+"194","2025-02-09","[[0.000927, 0.000927],[0.000522, 0.000522],[0.000162, 0.000162],[0.000069, 0.000069],[0.001023, 0.001023]]"
+"195","2025-02-10","[[0.000904, 0.000904],[0.000507, 0.000507],[0.000157, 0.000157],[0.000066, 0.000066],[0.000998, 0.000998]]"
+"196","2025-02-11","[[0.000882, 0.000882],[0.000493, 0.000493],[0.000151, 0.000151],[0.000063, 0.000063],[0.000973, 0.000973]]"
+"197","2025-02-12","[[0.00086, 0.00086],[0.000479, 0.000479],[0.000146, 0.000146],[0.00006, 0.00006],[0.000949, 0.000949]]"
+"198","2025-02-13","[[0.000839, 0.000839],[0.000466, 0.000466],[0.000141, 0.000141],[0.000057, 0.000057],[0.000926, 0.000926]]"
+"199","2025-02-14","[[0.000818, 0.000818],[0.000453, 0.000453],[0.000136, 0.000136],[0.000054, 0.000054],[0.000902, 0.000902]]"
+"200","2025-02-15","[[0.000798, 0.000798],[0.00044, 0.00044],[0.000131, 0.000131],[0.000052, 0.000052],[0.00088, 0.00088]]"
+"201","2025-02-16","[[0.000778, 0.000778],[0.000428, 0.000428],[0.000126, 0.000126],[0.000049, 0.000049],[0.000857, 0.000857]]"
+"202","2025-02-17","[[0.000758, 0.000758],[0.000415, 0.000415],[0.000122, 0.000122],[0.000047, 0.000047],[0.000836, 0.000836]]"
+"203","2025-02-18","[[0.000739, 0.000739],[0.000404, 0.000404],[0.000118, 0.000118],[0.000045, 0.000045],[0.000815, 0.000815]]"
+"204","2025-02-19","[[0.00072, 0.00072],[0.000392, 0.000392],[0.000113, 0.000113],[0.000042, 0.000042],[0.000794, 0.000794]]"
+"205","2025-02-20","[[0.000702, 0.000702],[0.000381, 0.000381],[0.000109, 0.000109],[0.00004, 0.00004],[0.000774, 0.000774]]"
+"206","2025-02-21","[[0.000684, 0.000684],[0.00037, 0.00037],[0.000106, 0.000106],[0.000038, 0.000038],[0.000754, 0.000754]]"
+"207","2025-02-22","[[0.000667, 0.000667],[0.00036, 0.00036],[0.000102, 0.000102],[0.000037, 0.000037],[0.000734, 0.000734]]"
+"208","2025-02-23","[[0.00065, 0.00065],[0.000349, 0.000349],[0.000098, 0.000098],[0.000035, 0.000035],[0.000716, 0.000716]]"
+"209","2025-02-24","[[0.000634, 0.000634],[0.000339, 0.000339],[0.000095, 0.000095],[0.000033, 0.000033],[0.000697, 0.000697]]"
+"210","2025-02-25","[[0.000618, 0.000618],[0.00033, 0.00033],[0.000091, 0.000091],[0.000032, 0.000032],[0.000679, 0.000679]]"
+"211","2025-02-26","[[0.000602, 0.000602],[0.00032, 0.00032],[0.000088, 0.000088],[0.00003, 0.00003],[0.000662, 0.000662]]"
+"212","2025-02-27","[[0.000586, 0.000586],[0.000311, 0.000311],[0.000085, 0.000085],[0.000029, 0.000029],[0.000644, 0.000644]]"
+"213","2025-02-28","[[0.000571, 0.000571],[0.000302, 0.000302],[0.000082, 0.000082],[0.000027, 0.000027],[0.000628, 0.000628]]"
+"214","2025-03-01","[[0.000557, 0.000557],[0.000294, 0.000294],[0.000079, 0.000079],[0.000026, 0.000026],[0.000611, 0.000611]]"
+"215","2025-03-02","[[0.000542, 0.000542],[0.000285, 0.000285],[0.000076, 0.000076],[0.000025, 0.000025],[0.000595, 0.000595]]"
+"216","2025-03-03","[[0.000528, 0.000528],[0.000277, 0.000277],[0.000074, 0.000074],[0.000024, 0.000024],[0.00058, 0.00058]]"
+"217","2025-03-04","[[0.000515, 0.000515],[0.000269, 0.000269],[0.000071, 0.000071],[0.000022, 0.000022],[0.000564, 0.000564]]"
+"218","2025-03-05","[[0.000502, 0.000502],[0.000261, 0.000261],[0.000068, 0.000068],[0.000021, 0.000021],[0.00055, 0.00055]]"
+"219","2025-03-06","[[0.000489, 0.000489],[0.000254, 0.000254],[0.000066, 0.000066],[0.00002, 0.00002],[0.000535, 0.000535]]"
+"220","2025-03-07","[[0.000476, 0.000476],[0.000246, 0.000246],[0.000064, 0.000064],[0.000019, 0.000019],[0.000521, 0.000521]]"
+"221","2025-03-08","[[0.000464, 0.000464],[0.000239, 0.000239],[0.000061, 0.000061],[0.000018, 0.000018],[0.000507, 0.000507]]"
+"222","2025-03-09","[[0.000452, 0.000452],[0.000232, 0.000232],[0.000059, 0.000059],[0.000018, 0.000018],[0.000494, 0.000494]]"
+"223","2025-03-10","[[0.00044, 0.00044],[0.000225, 0.000225],[0.000057, 0.000057],[0.000017, 0.000017],[0.000481, 0.000481]]"
+"224","2025-03-11","[[0.000428, 0.000428],[0.000219, 0.000219],[0.000055, 0.000055],[0.000016, 0.000016],[0.000468, 0.000468]]"
+"225","2025-03-12","[[0.000417, 0.000417],[0.000213, 0.000213],[0.000053, 0.000053],[0.000015, 0.000015],[0.000456, 0.000456]]"
+"226","2025-03-13","[[0.000406, 0.000406],[0.000206, 0.000206],[0.000051, 0.000051],[0.000014, 0.000014],[0.000443, 0.000443]]"
+"227","2025-03-14","[[0.000396, 0.000396],[0.0002, 0.0002],[0.000049, 0.000049],[0.000014, 0.000014],[0.000432, 0.000432]]"
+"228","2025-03-15","[[0.000385, 0.000385],[0.000195, 0.000195],[0.000048, 0.000048],[0.000013, 0.000013],[0.00042, 0.00042]]"
+"229","2025-03-16","[[0.000375, 0.000375],[0.000189, 0.000189],[0.000046, 0.000046],[0.000012, 0.000012],[0.000409, 0.000409]]"
+"230","2025-03-17","[[0.000365, 0.000365],[0.000183, 0.000183],[0.000044, 0.000044],[0.000012, 0.000012],[0.000398, 0.000398]]"
+"231","2025-03-18","[[0.000356, 0.000356],[0.000178, 0.000178],[0.000043, 0.000043],[0.000011, 0.000011],[0.000387, 0.000387]]"
+"232","2025-03-19","[[0.000346, 0.000346],[0.000173, 0.000173],[0.000041, 0.000041],[0.000011, 0.000011],[0.000377, 0.000377]]"
+"233","2025-03-20","[[0.000337, 0.000337],[0.000168, 0.000168],[0.00004, 0.00004],[0.00001, 0.00001],[0.000367, 0.000367]]"
+"234","2025-03-21","[[0.000328, 0.000328],[0.000163, 0.000163],[0.000038, 0.000038],[0.00001, 0.00001],[0.000357, 0.000357]]"
+"235","2025-03-22","[[0.00032, 0.00032],[0.000158, 0.000158],[0.000037, 0.000037],[0.000009, 0.000009],[0.000347, 0.000347]]"
+"236","2025-03-23","[[0.000311, 0.000311],[0.000154, 0.000154],[0.000036, 0.000036],[0.000009, 0.000009],[0.000338, 0.000338]]"
+"237","2025-03-24","[[0.000303, 0.000303],[0.000149, 0.000149],[0.000034, 0.000034],[0.000008, 0.000008],[0.000329, 0.000329]]"
+"238","2025-03-25","[[0.000295, 0.000295],[0.000145, 0.000145],[0.000033, 0.000033],[0.000008, 0.000008],[0.00032, 0.00032]]"
+"239","2025-03-26","[[0.000287, 0.000287],[0.00014, 0.00014],[0.000032, 0.000032],[0.000008, 0.000008],[0.000311, 0.000311]]"
+"240","2025-03-27","[[0.00028, 0.00028],[0.000136, 0.000136],[0.000031, 0.000031],[0.000007, 0.000007],[0.000303, 0.000303]]"
+"241","2025-03-28","[[0.000272, 0.000272],[0.000132, 0.000132],[0.00003, 0.00003],[0.000007, 0.000007],[0.000294, 0.000294]]"
+"242","2025-03-29","[[0.000265, 0.000265],[0.000128, 0.000128],[0.000029, 0.000029],[0.000007, 0.000007],[0.000286, 0.000286]]"
+"243","2025-03-30","[[0.000258, 0.000258],[0.000125, 0.000125],[0.000028, 0.000028],[0.000006, 0.000006],[0.000279, 0.000279]]"
+"244","2025-03-31","[[0.000251, 0.000251],[0.000121, 0.000121],[0.000027, 0.000027],[0.000006, 0.000006],[0.000271, 0.000271]]"
+"245","2025-04-01","[[0.000245, 0.000245],[0.000117, 0.000117],[0.000026, 0.000026],[0.000006, 0.000006],[0.000264, 0.000264]]"
+"246","2025-04-02","[[0.000238, 0.000238],[0.000114, 0.000114],[0.000025, 0.000025],[0.000005, 0.000005],[0.000256, 0.000256]]"
+"247","2025-04-03","[[0.000232, 0.000232],[0.000111, 0.000111],[0.000024, 0.000024],[0.000005, 0.000005],[0.000249, 0.000249]]"
+"248","2025-04-04","[[0.000226, 0.000226],[0.000107, 0.000107],[0.000023, 0.000023],[0.000005, 0.000005],[0.000243, 0.000243]]"
+"249","2025-04-05","[[0.00022, 0.00022],[0.000104, 0.000104],[0.000022, 0.000022],[0.000005, 0.000005],[0.000236, 0.000236]]"
+"250","2025-04-06","[[0.000214, 0.000214],[0.000101, 0.000101],[0.000021, 0.000021],[0.000004, 0.000004],[0.00023, 0.00023]]"
+"251","2025-04-07","[[0.000208, 0.000208],[0.000098, 0.000098],[0.000021, 0.000021],[0.000004, 0.000004],[0.000223, 0.000223]]"
+"252","2025-04-08","[[0.000203, 0.000203],[0.000095, 0.000095],[0.00002, 0.00002],[0.000004, 0.000004],[0.000217, 0.000217]]"
+"253","2025-04-09","[[0.000197, 0.000197],[0.000093, 0.000093],[0.000019, 0.000019],[0.000004, 0.000004],[0.000211, 0.000211]]"
+"254","2025-04-10","[[0.000192, 0.000192],[0.00009, 0.00009],[0.000018, 0.000018],[0.000004, 0.000004],[0.000205, 0.000205]]"
+"255","2025-04-11","[[0.000187, 0.000187],[0.000087, 0.000087],[0.000018, 0.000018],[0.000003, 0.000003],[0.0002, 0.0002]]"
+"256","2025-04-12","[[0.000182, 0.000182],[0.000085, 0.000085],[0.000017, 0.000017],[0.000003, 0.000003],[0.000194, 0.000194]]"
+"257","2025-04-13","[[0.000177, 0.000177],[0.000082, 0.000082],[0.000016, 0.000016],[0.000003, 0.000003],[0.000189, 0.000189]]"
+"258","2025-04-14","[[0.000172, 0.000172],[0.00008, 0.00008],[0.000016, 0.000016],[0.000003, 0.000003],[0.000184, 0.000184]]"
+"259","2025-04-15","[[0.000168, 0.000168],[0.000077, 0.000077],[0.000015, 0.000015],[0.000003, 0.000003],[0.000179, 0.000179]]"
+"260","2025-04-16","[[0.000163, 0.000163],[0.000075, 0.000075],[0.000015, 0.000015],[0.000003, 0.000003],[0.000174, 0.000174]]"
+"261","2025-04-17","[[0.000159, 0.000159],[0.000073, 0.000073],[0.000014, 0.000014],[0.000003, 0.000003],[0.000169, 0.000169]]"
+"262","2025-04-18","[[0.000154, 0.000154],[0.000071, 0.000071],[0.000014, 0.000014],[0.000002, 0.000002],[0.000164, 0.000164]]"
+"263","2025-04-19","[[0.00015, 0.00015],[0.000069, 0.000069],[0.000013, 0.000013],[0.000002, 0.000002],[0.00016, 0.00016]]"
+"264","2025-04-20","[[0.000146, 0.000146],[0.000067, 0.000067],[0.000013, 0.000013],[0.000002, 0.000002],[0.000155, 0.000155]]"
+"265","2025-04-21","[[0.000142, 0.000142],[0.000065, 0.000065],[0.000012, 0.000012],[0.000002, 0.000002],[0.000151, 0.000151]]"
+"266","2025-04-22","[[0.000138, 0.000138],[0.000063, 0.000063],[0.000012, 0.000012],[0.000002, 0.000002],[0.000147, 0.000147]]"
+"267","2025-04-23","[[0.000135, 0.000135],[0.000061, 0.000061],[0.000011, 0.000011],[0.000002, 0.000002],[0.000143, 0.000143]]"
+"268","2025-04-24","[[0.000131, 0.000131],[0.000059, 0.000059],[0.000011, 0.000011],[0.000002, 0.000002],[0.000139, 0.000139]]"
+"269","2025-04-25","[[0.000128, 0.000128],[0.000057, 0.000057],[0.000011, 0.000011],[0.000002, 0.000002],[0.000135, 0.000135]]"
+"270","2025-04-26","[[0.000124, 0.000124],[0.000056, 0.000056],[0.00001, 0.00001],[0.000002, 0.000002],[0.000131, 0.000131]]"
+"271","2025-04-27","[[0.000121, 0.000121],[0.000054, 0.000054],[0.00001, 0.00001],[0.000002, 0.000002],[0.000128, 0.000128]]"
+"272","2025-04-28","[[0.000118, 0.000118],[0.000052, 0.000052],[0.00001, 0.00001],[0.000001, 0.000001],[0.000124, 0.000124]]"
+"273","2025-04-29","[[0.000114, 0.000114],[0.000051, 0.000051],[0.000009, 0.000009],[0.000001, 0.000001],[0.000121, 0.000121]]"
+"274","2025-04-30","[[0.000111, 0.000111],[0.000049, 0.000049],[0.000009, 0.000009],[0.000001, 0.000001],[0.000117, 0.000117]]"
+"275","2025-05-01","[[0.000108, 0.000108],[0.000048, 0.000048],[0.000009, 0.000009],[0.000001, 0.000001],[0.000114, 0.000114]]"
+"276","2025-05-02","[[0.000105, 0.000105],[0.000046, 0.000046],[0.000008, 0.000008],[0.000001, 0.000001],[0.000111, 0.000111]]"
+"277","2025-05-03","[[0.000103, 0.000103],[0.000045, 0.000045],[0.000008, 0.000008],[0.000001, 0.000001],[0.000108, 0.000108]]"
+"278","2025-05-04","[[0.0001, 0.0001],[0.000044, 0.000044],[0.000008, 0.000008],[0.000001, 0.000001],[0.000105, 0.000105]]"
+"279","2025-05-05","[[0.000097, 0.000097],[0.000042, 0.000042],[0.000007, 0.000007],[0.000001, 0.000001],[0.000102, 0.000102]]"
+"280","2025-05-06","[[0.000095, 0.000095],[0.000041, 0.000041],[0.000007, 0.000007],[0.000001, 0.000001],[0.000099, 0.000099]]"
+"281","2025-05-07","[[0.000092, 0.000092],[0.00004, 0.00004],[0.000007, 0.000007],[0.000001, 0.000001],[0.000096, 0.000096]]"
+"282","2025-05-08","[[0.000089, 0.000089],[0.000039, 0.000039],[0.000007, 0.000007],[0.000001, 0.000001],[0.000094, 0.000094]]"
+"283","2025-05-09","[[0.000087, 0.000087],[0.000038, 0.000038],[0.000006, 0.000006],[0.000001, 0.000001],[0.000091, 0.000091]]"
+"284","2025-05-10","[[0.000085, 0.000085],[0.000036, 0.000036],[0.000006, 0.000006],[0.000001, 0.000001],[0.000089, 0.000089]]"
+"285","2025-05-11","[[0.000082, 0.000082],[0.000035, 0.000035],[0.000006, 0.000006],[0.000001, 0.000001],[0.000086, 0.000086]]"
+"286","2025-05-12","[[0.00008, 0.00008],[0.000034, 0.000034],[0.000006, 0.000006],[0.000001, 0.000001],[0.000084, 0.000084]]"
+"287","2025-05-13","[[0.000078, 0.000078],[0.000033, 0.000033],[0.000005, 0.000005],[0.000001, 0.000001],[0.000081, 0.000081]]"
+"288","2025-05-14","[[0.000076, 0.000076],[0.000032, 0.000032],[0.000005, 0.000005],[0.000001, 0.000001],[0.000079, 0.000079]]"
+"289","2025-05-15","[[0.000074, 0.000074],[0.000031, 0.000031],[0.000005, 0.000005],[0.000001, 0.000001],[0.000077, 0.000077]]"
+"290","2025-05-16","[[0.000072, 0.000072],[0.00003, 0.00003],[0.000005, 0.000005],[0.000001, 0.000001],[0.000075, 0.000075]]"
+"291","2025-05-17","[[0.00007, 0.00007],[0.00003, 0.00003],[0.000005, 0.000005],[0.000001, 0.000001],[0.000073, 0.000073]]"
+"292","2025-05-18","[[0.000068, 0.000068],[0.000029, 0.000029],[0.000005, 0.000005],[0.000001, 0.000001],[0.000071, 0.000071]]"
+"293","2025-05-19","[[0.000066, 0.000066],[0.000028, 0.000028],[0.000004, 0.000004],[0.000001, 0.000001],[0.000069, 0.000069]]"
+"294","2025-05-20","[[0.000064, 0.000064],[0.000027, 0.000027],[0.000004, 0.000004],[0.000001, 0.000001],[0.000067, 0.000067]]"
+"295","2025-05-21","[[0.000063, 0.000063],[0.000026, 0.000026],[0.000004, 0.000004],[0, 0],[0.000065, 0.000065]]"
+"296","2025-05-22","[[0.000061, 0.000061],[0.000025, 0.000025],[0.000004, 0.000004],[0, 0],[0.000063, 0.000063]]"
+"297","2025-05-23","[[0.000059, 0.000059],[0.000025, 0.000025],[0.000004, 0.000004],[0, 0],[0.000061, 0.000061]]"
+"298","2025-05-24","[[0.000058, 0.000058],[0.000024, 0.000024],[0.000004, 0.000004],[0, 0],[0.00006, 0.00006]]"
+"299","2025-05-25","[[0.000056, 0.000056],[0.000023, 0.000023],[0.000004, 0.000004],[0, 0],[0.000058, 0.000058]]"
+"300","2025-05-26","[[0.000055, 0.000055],[0.000023, 0.000023],[0.000003, 0.000003],[0, 0],[0.000056, 0.000056]]"
+"301","2025-05-27","[[0.000053, 0.000053],[0.000022, 0.000022],[0.000003, 0.000003],[0, 0],[0.000055, 0.000055]]"
+"302","2025-05-28","[[0.000052, 0.000052],[0.000021, 0.000021],[0.000003, 0.000003],[0, 0],[0.000053, 0.000053]]"
+"303","2025-05-29","[[0.00005, 0.00005],[0.000021, 0.000021],[0.000003, 0.000003],[0, 0],[0.000052, 0.000052]]"
+"304","2025-05-30","[[0.000049, 0.000049],[0.00002, 0.00002],[0.000003, 0.000003],[0, 0],[0.00005, 0.00005]]"
+"305","2025-05-31","[[0.000048, 0.000048],[0.000019, 0.000019],[0.000003, 0.000003],[0, 0],[0.000049, 0.000049]]"
diff --git a/flu_instances/austin_input_files_2024_2025/daily_vaccines_West.csv b/flu_instances/austin_input_files_2024_2025/daily_vaccines_West.csv
index 9394991..694b9d2 100644
--- a/flu_instances/austin_input_files_2024_2025/daily_vaccines_West.csv
+++ b/flu_instances/austin_input_files_2024_2025/daily_vaccines_West.csv
@@ -1,306 +1,306 @@
 "","date","daily_vaccines"
-"1","2024-07-31","[[0.070653],[0.051541],[0.016304],[0.008234],[0.040386]]"
-"2","2024-08-01","[[0.001801],[0.001454],[0.000574],[0.000409],[0.001098]]"
-"3","2024-08-02","[[0.001842],[0.001491],[0.000593],[0.000429],[0.001126]]"
-"4","2024-08-03","[[0.001884],[0.001529],[0.000613],[0.00045],[0.001154]]"
-"5","2024-08-04","[[0.001927],[0.001567],[0.000633],[0.000472],[0.001183]]"
-"6","2024-08-05","[[0.00197],[0.001606],[0.000654],[0.000494],[0.001213]]"
-"7","2024-08-06","[[0.002014],[0.001646],[0.000675],[0.000518],[0.001244]]"
-"8","2024-08-07","[[0.002059],[0.001687],[0.000697],[0.000543],[0.001274]]"
-"9","2024-08-08","[[0.002105],[0.001729],[0.00072],[0.000569],[0.001306]]"
-"10","2024-08-09","[[0.002151],[0.001771],[0.000743],[0.000596],[0.001338]]"
-"11","2024-08-10","[[0.002198],[0.001814],[0.000766],[0.000625],[0.001371]]"
-"12","2024-08-11","[[0.002245],[0.001858],[0.000791],[0.000654],[0.001405]]"
-"13","2024-08-12","[[0.002294],[0.001902],[0.000816],[0.000685],[0.001439]]"
-"14","2024-08-13","[[0.002343],[0.001947],[0.000841],[0.000718],[0.001474]]"
-"15","2024-08-14","[[0.002392],[0.001993],[0.000868],[0.000751],[0.001509]]"
-"16","2024-08-15","[[0.002443],[0.002039],[0.000894],[0.000787],[0.001545]]"
-"17","2024-08-16","[[0.002494],[0.002086],[0.000922],[0.000823],[0.001582]]"
-"18","2024-08-17","[[0.002545],[0.002134],[0.00095],[0.000861],[0.00162]]"
-"19","2024-08-18","[[0.002597],[0.002182],[0.000979],[0.000901],[0.001658]]"
-"20","2024-08-19","[[0.00265],[0.002231],[0.001008],[0.000943],[0.001697]]"
-"21","2024-08-20","[[0.002704],[0.002281],[0.001039],[0.000986],[0.001736]]"
-"22","2024-08-21","[[0.002757],[0.002331],[0.001069],[0.001031],[0.001776]]"
-"23","2024-08-22","[[0.002812],[0.002382],[0.001101],[0.001077],[0.001817]]"
-"24","2024-08-23","[[0.002867],[0.002433],[0.001133],[0.001126],[0.001859]]"
-"25","2024-08-24","[[0.002922],[0.002485],[0.001165],[0.001176],[0.001901]]"
-"26","2024-08-25","[[0.002978],[0.002538],[0.001199],[0.001228],[0.001943]]"
-"27","2024-08-26","[[0.003035],[0.00259],[0.001233],[0.001282],[0.001987]]"
-"28","2024-08-27","[[0.003092],[0.002644],[0.001267],[0.001338],[0.002031]]"
-"29","2024-08-28","[[0.003149],[0.002697],[0.001302],[0.001397],[0.002076]]"
-"30","2024-08-29","[[0.003207],[0.002751],[0.001338],[0.001457],[0.002121]]"
-"31","2024-08-30","[[0.003265],[0.002806],[0.001374],[0.001519],[0.002167]]"
-"32","2024-08-31","[[0.003323],[0.00286],[0.001411],[0.001584],[0.002213]]"
-"33","2024-09-01","[[0.003382],[0.002915],[0.001448],[0.00165],[0.00226]]"
-"34","2024-09-02","[[0.00344],[0.002971],[0.001486],[0.001719],[0.002308]]"
-"35","2024-09-03","[[0.0035],[0.003026],[0.001525],[0.00179],[0.002356]]"
-"36","2024-09-04","[[0.003559],[0.003081],[0.001563],[0.001863],[0.002405]]"
-"37","2024-09-05","[[0.003618],[0.003137],[0.001602],[0.001938],[0.002454]]"
-"38","2024-09-06","[[0.003677],[0.003192],[0.001642],[0.002015],[0.002504]]"
-"39","2024-09-07","[[0.003737],[0.003248],[0.001682],[0.002094],[0.002554]]"
-"40","2024-09-08","[[0.003796],[0.003303],[0.001722],[0.002176],[0.002605]]"
-"41","2024-09-09","[[0.003856],[0.003359],[0.001762],[0.002259],[0.002656]]"
-"42","2024-09-10","[[0.003915],[0.003414],[0.001803],[0.002345],[0.002708]]"
-"43","2024-09-11","[[0.003974],[0.003469],[0.001844],[0.002432],[0.00276]]"
-"44","2024-09-12","[[0.004033],[0.003523],[0.001885],[0.002521],[0.002812]]"
-"45","2024-09-13","[[0.004092],[0.003578],[0.001926],[0.002612],[0.002864]]"
-"46","2024-09-14","[[0.00415],[0.003632],[0.001967],[0.002704],[0.002917]]"
-"47","2024-09-15","[[0.004208],[0.003685],[0.002008],[0.002798],[0.00297]]"
-"48","2024-09-16","[[0.004266],[0.003738],[0.002049],[0.002893],[0.003024]]"
-"49","2024-09-17","[[0.004323],[0.00379],[0.00209],[0.00299],[0.003077]]"
-"50","2024-09-18","[[0.00438],[0.003842],[0.002131],[0.003087],[0.003131]]"
-"51","2024-09-19","[[0.004436],[0.003892],[0.002171],[0.003186],[0.003185]]"
-"52","2024-09-20","[[0.004491],[0.003942],[0.002211],[0.003285],[0.003239]]"
-"53","2024-09-21","[[0.004546],[0.003991],[0.002251],[0.003385],[0.003293]]"
-"54","2024-09-22","[[0.0046],[0.004039],[0.00229],[0.003485],[0.003347]]"
-"55","2024-09-23","[[0.004653],[0.004087],[0.002329],[0.003585],[0.003401]]"
-"56","2024-09-24","[[0.004705],[0.004133],[0.002367],[0.003684],[0.003454]]"
-"57","2024-09-25","[[0.004757],[0.004178],[0.002404],[0.003784],[0.003508]]"
-"58","2024-09-26","[[0.004807],[0.004221],[0.002441],[0.003882],[0.003561]]"
-"59","2024-09-27","[[0.004856],[0.004264],[0.002477],[0.00398],[0.003614]]"
-"60","2024-09-28","[[0.004905],[0.004305],[0.002512],[0.004076],[0.003667]]"
-"61","2024-09-29","[[0.004952],[0.004344],[0.002546],[0.00417],[0.00372]]"
-"62","2024-09-30","[[0.004997],[0.004382],[0.002579],[0.004263],[0.003772]]"
-"63","2024-10-01","[[0.005042],[0.004419],[0.002611],[0.004353],[0.003823]]"
-"64","2024-10-02","[[0.005085],[0.004454],[0.002642],[0.004441],[0.003875]]"
-"65","2024-10-03","[[0.005127],[0.004487],[0.002671],[0.004526],[0.003925]]"
-"66","2024-10-04","[[0.005167],[0.004519],[0.002699],[0.004607],[0.003975]]"
-"67","2024-10-05","[[0.005206],[0.004549],[0.002726],[0.004685],[0.004024]]"
-"68","2024-10-06","[[0.005243],[0.004577],[0.002751],[0.004759],[0.004073]]"
-"69","2024-10-07","[[0.005278],[0.004603],[0.002775],[0.004829],[0.00412]]"
-"70","2024-10-08","[[0.005312],[0.004627],[0.002797],[0.004894],[0.004167]]"
-"71","2024-10-09","[[0.005344],[0.00465],[0.002818],[0.004955],[0.004213]]"
-"72","2024-10-10","[[0.005375],[0.00467],[0.002837],[0.005011],[0.004258]]"
-"73","2024-10-11","[[0.005404],[0.004688],[0.002854],[0.005061],[0.004302]]"
-"74","2024-10-12","[[0.00543],[0.004704],[0.00287],[0.005106],[0.004344]]"
-"75","2024-10-13","[[0.005455],[0.004719],[0.002883],[0.005145],[0.004386]]"
-"76","2024-10-14","[[0.005478],[0.004731],[0.002895],[0.005178],[0.004426]]"
-"77","2024-10-15","[[0.005499],[0.004741],[0.002905],[0.005205],[0.004465]]"
-"78","2024-10-16","[[0.005518],[0.004748],[0.002913],[0.005226],[0.004503]]"
-"79","2024-10-17","[[0.005535],[0.004754],[0.00292],[0.00524],[0.00454]]"
-"80","2024-10-18","[[0.00555],[0.004757],[0.002924],[0.005248],[0.004575]]"
-"81","2024-10-19","[[0.005563],[0.004758],[0.002926],[0.00525],[0.004608]]"
-"82","2024-10-20","[[0.005574],[0.004757],[0.002927],[0.005245],[0.00464]]"
-"83","2024-10-21","[[0.005583],[0.004754],[0.002925],[0.005234],[0.004671]]"
-"84","2024-10-22","[[0.005589],[0.004749],[0.002922],[0.005217],[0.004699]]"
-"85","2024-10-23","[[0.005594],[0.004741],[0.002916],[0.005193],[0.004727]]"
-"86","2024-10-24","[[0.005596],[0.004732],[0.002909],[0.005163],[0.004752]]"
-"87","2024-10-25","[[0.005596],[0.00472],[0.002899],[0.005127],[0.004776]]"
-"88","2024-10-26","[[0.005594],[0.004706],[0.002888],[0.005086],[0.004798]]"
-"89","2024-10-27","[[0.00559],[0.00469],[0.002875],[0.005038],[0.004818]]"
-"90","2024-10-28","[[0.005584],[0.004672],[0.00286],[0.004985],[0.004836]]"
-"91","2024-10-29","[[0.005576],[0.004652],[0.002844],[0.004928],[0.004852]]"
-"92","2024-10-30","[[0.005566],[0.004629],[0.002826],[0.004865],[0.004867]]"
-"93","2024-10-31","[[0.005553],[0.004605],[0.002806],[0.004797],[0.00488]]"
-"94","2024-11-01","[[0.005539],[0.004579],[0.002784],[0.004725],[0.00489]]"
-"95","2024-11-02","[[0.005522],[0.004551],[0.002761],[0.004649],[0.004899]]"
-"96","2024-11-03","[[0.005503],[0.004522],[0.002736],[0.00457],[0.004906]]"
-"97","2024-11-04","[[0.005483],[0.00449],[0.00271],[0.004487],[0.00491]]"
-"98","2024-11-05","[[0.00546],[0.004457],[0.002682],[0.004401],[0.004913]]"
-"99","2024-11-06","[[0.005436],[0.004422],[0.002653],[0.004312],[0.004914]]"
-"100","2024-11-07","[[0.00541],[0.004386],[0.002623],[0.00422],[0.004913]]"
-"101","2024-11-08","[[0.005381],[0.004348],[0.002591],[0.004127],[0.004909]]"
-"102","2024-11-09","[[0.005351],[0.004308],[0.002559],[0.004031],[0.004904]]"
-"103","2024-11-10","[[0.00532],[0.004267],[0.002525],[0.003935],[0.004897]]"
-"104","2024-11-11","[[0.005286],[0.004225],[0.002491],[0.003837],[0.004888]]"
-"105","2024-11-12","[[0.005251],[0.004182],[0.002455],[0.003738],[0.004876]]"
-"106","2024-11-13","[[0.005214],[0.004137],[0.002419],[0.003638],[0.004863]]"
-"107","2024-11-14","[[0.005176],[0.004091],[0.002382],[0.003538],[0.004848]]"
-"108","2024-11-15","[[0.005136],[0.004044],[0.002344],[0.003438],[0.004831]]"
-"109","2024-11-16","[[0.005094],[0.003996],[0.002305],[0.003338],[0.004813]]"
-"110","2024-11-17","[[0.005052],[0.003947],[0.002266],[0.003239],[0.004792]]"
-"111","2024-11-18","[[0.005007],[0.003897],[0.002227],[0.00314],[0.00477]]"
-"112","2024-11-19","[[0.004962],[0.003846],[0.002187],[0.003042],[0.004745]]"
-"113","2024-11-20","[[0.004915],[0.003795],[0.002146],[0.002945],[0.00472]]"
-"114","2024-11-21","[[0.004867],[0.003743],[0.002106],[0.002849],[0.004692]]"
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+"10","2024-08-09","[[0.002221, 0.002221],[0.001836, 0.001836],[0.000762, 0.000762],[0.000628, 0.000628],[0.001394, 0.001394]]"
+"11","2024-08-10","[[0.002269, 0.002269],[0.001881, 0.001881],[0.000787, 0.000787],[0.000658, 0.000658],[0.001428, 0.001428]]"
+"12","2024-08-11","[[0.002318, 0.002318],[0.001926, 0.001926],[0.000812, 0.000812],[0.000689, 0.000689],[0.001463, 0.001463]]"
+"13","2024-08-12","[[0.002368, 0.002368],[0.001971, 0.001971],[0.000838, 0.000838],[0.000721, 0.000721],[0.001499, 0.001499]]"
+"14","2024-08-13","[[0.002419, 0.002419],[0.002018, 0.002018],[0.000864, 0.000864],[0.000755, 0.000755],[0.001535, 0.001535]]"
+"15","2024-08-14","[[0.00247, 0.00247],[0.002065, 0.002065],[0.000892, 0.000892],[0.00079, 0.00079],[0.001572, 0.001572]]"
+"16","2024-08-15","[[0.002522, 0.002522],[0.002113, 0.002113],[0.000919, 0.000919],[0.000827, 0.000827],[0.001609, 0.001609]]"
+"17","2024-08-16","[[0.002574, 0.002574],[0.002162, 0.002162],[0.000948, 0.000948],[0.000865, 0.000865],[0.001648, 0.001648]]"
+"18","2024-08-17","[[0.002628, 0.002628],[0.002211, 0.002211],[0.000977, 0.000977],[0.000905, 0.000905],[0.001687, 0.001687]]"
+"19","2024-08-18","[[0.002682, 0.002682],[0.002261, 0.002261],[0.001007, 0.001007],[0.000947, 0.000947],[0.001727, 0.001727]]"
+"20","2024-08-19","[[0.002736, 0.002736],[0.002311, 0.002311],[0.001038, 0.001038],[0.00099, 0.00099],[0.001767, 0.001767]]"
+"21","2024-08-20","[[0.002791, 0.002791],[0.002363, 0.002363],[0.001069, 0.001069],[0.001035, 0.001035],[0.001808, 0.001808]]"
+"22","2024-08-21","[[0.002847, 0.002847],[0.002414, 0.002414],[0.001101, 0.001101],[0.001082, 0.001082],[0.00185, 0.00185]]"
+"23","2024-08-22","[[0.002903, 0.002903],[0.002467, 0.002467],[0.001134, 0.001134],[0.00113, 0.00113],[0.001892, 0.001892]]"
+"24","2024-08-23","[[0.00296, 0.00296],[0.00252, 0.00252],[0.001167, 0.001167],[0.001181, 0.001181],[0.001935, 0.001935]]"
+"25","2024-08-24","[[0.003017, 0.003017],[0.002573, 0.002573],[0.001201, 0.001201],[0.001233, 0.001233],[0.001979, 0.001979]]"
+"26","2024-08-25","[[0.003075, 0.003075],[0.002627, 0.002627],[0.001236, 0.001236],[0.001288, 0.001288],[0.002024, 0.002024]]"
+"27","2024-08-26","[[0.003133, 0.003133],[0.002681, 0.002681],[0.001271, 0.001271],[0.001344, 0.001344],[0.002069, 0.002069]]"
+"28","2024-08-27","[[0.003192, 0.003192],[0.002736, 0.002736],[0.001307, 0.001307],[0.001403, 0.001403],[0.002115, 0.002115]]"
+"29","2024-08-28","[[0.003251, 0.003251],[0.002792, 0.002792],[0.001344, 0.001344],[0.001463, 0.001463],[0.002161, 0.002161]]"
+"30","2024-08-29","[[0.003311, 0.003311],[0.002847, 0.002847],[0.001381, 0.001381],[0.001526, 0.001526],[0.002208, 0.002208]]"
+"31","2024-08-30","[[0.003371, 0.003371],[0.002903, 0.002903],[0.001419, 0.001419],[0.001591, 0.001591],[0.002256, 0.002256]]"
+"32","2024-08-31","[[0.003431, 0.003431],[0.002959, 0.002959],[0.001457, 0.001457],[0.001658, 0.001658],[0.002304, 0.002304]]"
+"33","2024-09-01","[[0.003491, 0.003491],[0.003016, 0.003016],[0.001496, 0.001496],[0.001727, 0.001727],[0.002353, 0.002353]]"
+"34","2024-09-02","[[0.003552, 0.003552],[0.003073, 0.003073],[0.001536, 0.001536],[0.001798, 0.001798],[0.002403, 0.002403]]"
+"35","2024-09-03","[[0.003613, 0.003613],[0.00313, 0.00313],[0.001576, 0.001576],[0.001872, 0.001872],[0.002453, 0.002453]]"
+"36","2024-09-04","[[0.003674, 0.003674],[0.003187, 0.003187],[0.001616, 0.001616],[0.001948, 0.001948],[0.002503, 0.002503]]"
+"37","2024-09-05","[[0.003736, 0.003736],[0.003244, 0.003244],[0.001657, 0.001657],[0.002026, 0.002026],[0.002555, 0.002555]]"
+"38","2024-09-06","[[0.003797, 0.003797],[0.003301, 0.003301],[0.001698, 0.001698],[0.002106, 0.002106],[0.002606, 0.002606]]"
+"39","2024-09-07","[[0.003858, 0.003858],[0.003358, 0.003358],[0.00174, 0.00174],[0.002188, 0.002188],[0.002659, 0.002659]]"
+"40","2024-09-08","[[0.00392, 0.00392],[0.003415, 0.003415],[0.001782, 0.001782],[0.002272, 0.002272],[0.002711, 0.002711]]"
+"41","2024-09-09","[[0.003981, 0.003981],[0.003472, 0.003472],[0.001824, 0.001824],[0.002359, 0.002359],[0.002764, 0.002764]]"
+"42","2024-09-10","[[0.004042, 0.004042],[0.003529, 0.003529],[0.001867, 0.001867],[0.002447, 0.002447],[0.002818, 0.002818]]"
+"43","2024-09-11","[[0.004103, 0.004103],[0.003586, 0.003586],[0.001909, 0.001909],[0.002537, 0.002537],[0.002872, 0.002872]]"
+"44","2024-09-12","[[0.004164, 0.004164],[0.003642, 0.003642],[0.001952, 0.001952],[0.00263, 0.00263],[0.002926, 0.002926]]"
+"45","2024-09-13","[[0.004225, 0.004225],[0.003698, 0.003698],[0.001995, 0.001995],[0.002723, 0.002723],[0.002981, 0.002981]]"
+"46","2024-09-14","[[0.004285, 0.004285],[0.003753, 0.003753],[0.002038, 0.002038],[0.002819, 0.002819],[0.003036, 0.003036]]"
+"47","2024-09-15","[[0.004345, 0.004345],[0.003808, 0.003808],[0.002081, 0.002081],[0.002916, 0.002916],[0.003091, 0.003091]]"
+"48","2024-09-16","[[0.004405, 0.004405],[0.003862, 0.003862],[0.002124, 0.002124],[0.003014, 0.003014],[0.003147, 0.003147]]"
+"49","2024-09-17","[[0.004464, 0.004464],[0.003916, 0.003916],[0.002167, 0.002167],[0.003114, 0.003114],[0.003202, 0.003202]]"
+"50","2024-09-18","[[0.004522, 0.004522],[0.003969, 0.003969],[0.00221, 0.00221],[0.003215, 0.003215],[0.003258, 0.003258]]"
+"51","2024-09-19","[[0.00458, 0.00458],[0.004021, 0.004021],[0.002252, 0.002252],[0.003316, 0.003316],[0.003314, 0.003314]]"
+"52","2024-09-20","[[0.004637, 0.004637],[0.004073, 0.004073],[0.002294, 0.002294],[0.003418, 0.003418],[0.00337, 0.00337]]"
+"53","2024-09-21","[[0.004694, 0.004694],[0.004123, 0.004123],[0.002336, 0.002336],[0.003521, 0.003521],[0.003426, 0.003426]]"
+"54","2024-09-22","[[0.004749, 0.004749],[0.004173, 0.004173],[0.002377, 0.002377],[0.003624, 0.003624],[0.003482, 0.003482]]"
+"55","2024-09-23","[[0.004804, 0.004804],[0.004221, 0.004221],[0.002417, 0.002417],[0.003727, 0.003727],[0.003538, 0.003538]]"
+"56","2024-09-24","[[0.004858, 0.004858],[0.004269, 0.004269],[0.002457, 0.002457],[0.003829, 0.003829],[0.003594, 0.003594]]"
+"57","2024-09-25","[[0.004911, 0.004911],[0.004315, 0.004315],[0.002496, 0.002496],[0.003931, 0.003931],[0.003649, 0.003649]]"
+"58","2024-09-26","[[0.004963, 0.004963],[0.00436, 0.00436],[0.002535, 0.002535],[0.004033, 0.004033],[0.003705, 0.003705]]"
+"59","2024-09-27","[[0.005014, 0.005014],[0.004403, 0.004403],[0.002573, 0.002573],[0.004133, 0.004133],[0.00376, 0.00376]]"
+"60","2024-09-28","[[0.005064, 0.005064],[0.004445, 0.004445],[0.002609, 0.002609],[0.004231, 0.004231],[0.003815, 0.003815]]"
+"61","2024-09-29","[[0.005112, 0.005112],[0.004486, 0.004486],[0.002645, 0.002645],[0.004328, 0.004328],[0.003869, 0.003869]]"
+"62","2024-09-30","[[0.00516, 0.00516],[0.004526, 0.004526],[0.002679, 0.002679],[0.004423, 0.004423],[0.003923, 0.003923]]"
+"63","2024-10-01","[[0.005206, 0.005206],[0.004563, 0.004563],[0.002713, 0.002713],[0.004515, 0.004515],[0.003977, 0.003977]]"
+"64","2024-10-02","[[0.00525, 0.00525],[0.004599, 0.004599],[0.002745, 0.002745],[0.004605, 0.004605],[0.00403, 0.00403]]"
+"65","2024-10-03","[[0.005293, 0.005293],[0.004634, 0.004634],[0.002776, 0.002776],[0.004692, 0.004692],[0.004082, 0.004082]]"
+"66","2024-10-04","[[0.005335, 0.005335],[0.004666, 0.004666],[0.002805, 0.002805],[0.004775, 0.004775],[0.004134, 0.004134]]"
+"67","2024-10-05","[[0.005375, 0.005375],[0.004697, 0.004697],[0.002833, 0.002833],[0.004854, 0.004854],[0.004185, 0.004185]]"
+"68","2024-10-06","[[0.005413, 0.005413],[0.004726, 0.004726],[0.00286, 0.00286],[0.00493, 0.00493],[0.004235, 0.004235]]"
+"69","2024-10-07","[[0.00545, 0.00545],[0.004753, 0.004753],[0.002884, 0.002884],[0.005001, 0.005001],[0.004284, 0.004284]]"
+"70","2024-10-08","[[0.005485, 0.005485],[0.004778, 0.004778],[0.002908, 0.002908],[0.005067, 0.005067],[0.004333, 0.004333]]"
+"71","2024-10-09","[[0.005518, 0.005518],[0.004801, 0.004801],[0.002929, 0.002929],[0.005129, 0.005129],[0.00438, 0.00438]]"
+"72","2024-10-10","[[0.005549, 0.005549],[0.004822, 0.004822],[0.002949, 0.002949],[0.005185, 0.005185],[0.004427, 0.004427]]"
+"73","2024-10-11","[[0.005579, 0.005579],[0.004841, 0.004841],[0.002967, 0.002967],[0.005236, 0.005236],[0.004472, 0.004472]]"
+"74","2024-10-12","[[0.005606, 0.005606],[0.004858, 0.004858],[0.002983, 0.002983],[0.005281, 0.005281],[0.004517, 0.004517]]"
+"75","2024-10-13","[[0.005632, 0.005632],[0.004872, 0.004872],[0.002997, 0.002997],[0.00532, 0.00532],[0.00456, 0.00456]]"
+"76","2024-10-14","[[0.005656, 0.005656],[0.004885, 0.004885],[0.003009, 0.003009],[0.005353, 0.005353],[0.004602, 0.004602]]"
+"77","2024-10-15","[[0.005677, 0.005677],[0.004895, 0.004895],[0.00302, 0.00302],[0.00538, 0.00538],[0.004642, 0.004642]]"
+"78","2024-10-16","[[0.005697, 0.005697],[0.004903, 0.004903],[0.003028, 0.003028],[0.005401, 0.005401],[0.004681, 0.004681]]"
+"79","2024-10-17","[[0.005715, 0.005715],[0.004909, 0.004909],[0.003034, 0.003034],[0.005415, 0.005415],[0.004719, 0.004719]]"
+"80","2024-10-18","[[0.00573, 0.00573],[0.004913, 0.004913],[0.003038, 0.003038],[0.005422, 0.005422],[0.004755, 0.004755]]"
+"81","2024-10-19","[[0.005743, 0.005743],[0.004914, 0.004914],[0.003041, 0.003041],[0.005423, 0.005423],[0.00479, 0.00479]]"
+"82","2024-10-20","[[0.005754, 0.005754],[0.004913, 0.004913],[0.003041, 0.003041],[0.005417, 0.005417],[0.004823, 0.004823]]"
+"83","2024-10-21","[[0.005763, 0.005763],[0.00491, 0.00491],[0.003039, 0.003039],[0.005405, 0.005405],[0.004854, 0.004854]]"
+"84","2024-10-22","[[0.00577, 0.00577],[0.004905, 0.004905],[0.003035, 0.003035],[0.005386, 0.005386],[0.004884, 0.004884]]"
+"85","2024-10-23","[[0.005775, 0.005775],[0.004897, 0.004897],[0.003029, 0.003029],[0.005361, 0.005361],[0.004912, 0.004912]]"
+"86","2024-10-24","[[0.005777, 0.005777],[0.004887, 0.004887],[0.003021, 0.003021],[0.00533, 0.00533],[0.004938, 0.004938]]"
+"87","2024-10-25","[[0.005777, 0.005777],[0.004875, 0.004875],[0.003011, 0.003011],[0.005292, 0.005292],[0.004963, 0.004963]]"
+"88","2024-10-26","[[0.005775, 0.005775],[0.004861, 0.004861],[0.002999, 0.002999],[0.005249, 0.005249],[0.004985, 0.004985]]"
+"89","2024-10-27","[[0.005771, 0.005771],[0.004845, 0.004845],[0.002985, 0.002985],[0.005199, 0.005199],[0.005006, 0.005006]]"
+"90","2024-10-28","[[0.005765, 0.005765],[0.004826, 0.004826],[0.002969, 0.002969],[0.005144, 0.005144],[0.005025, 0.005025]]"
+"91","2024-10-29","[[0.005756, 0.005756],[0.004806, 0.004806],[0.002951, 0.002951],[0.005084, 0.005084],[0.005042, 0.005042]]"
+"92","2024-10-30","[[0.005746, 0.005746],[0.004783, 0.004783],[0.002932, 0.002932],[0.005019, 0.005019],[0.005057, 0.005057]]"
+"93","2024-10-31","[[0.005733, 0.005733],[0.004759, 0.004759],[0.00291, 0.00291],[0.004949, 0.004949],[0.005069, 0.005069]]"
+"94","2024-11-01","[[0.005718, 0.005718],[0.004732, 0.004732],[0.002887, 0.002887],[0.004875, 0.004875],[0.00508, 0.00508]]"
+"95","2024-11-02","[[0.005701, 0.005701],[0.004704, 0.004704],[0.002863, 0.002863],[0.004797, 0.004797],[0.005089, 0.005089]]"
+"96","2024-11-03","[[0.005681, 0.005681],[0.004673, 0.004673],[0.002836, 0.002836],[0.004714, 0.004714],[0.005096, 0.005096]]"
+"97","2024-11-04","[[0.00566, 0.00566],[0.004641, 0.004641],[0.002808, 0.002808],[0.004629, 0.004629],[0.005101, 0.005101]]"
+"98","2024-11-05","[[0.005637, 0.005637],[0.004607, 0.004607],[0.002779, 0.002779],[0.00454, 0.00454],[0.005103, 0.005103]]"
+"99","2024-11-06","[[0.005612, 0.005612],[0.004572, 0.004572],[0.002749, 0.002749],[0.004448, 0.004448],[0.005104, 0.005104]]"
+"100","2024-11-07","[[0.005584, 0.005584],[0.004534, 0.004534],[0.002717, 0.002717],[0.004354, 0.004354],[0.005102, 0.005102]]"
+"101","2024-11-08","[[0.005555, 0.005555],[0.004495, 0.004495],[0.002683, 0.002683],[0.004258, 0.004258],[0.005099, 0.005099]]"
+"102","2024-11-09","[[0.005524, 0.005524],[0.004455, 0.004455],[0.002649, 0.002649],[0.004159, 0.004159],[0.005093, 0.005093]]"
+"103","2024-11-10","[[0.005491, 0.005491],[0.004413, 0.004413],[0.002613, 0.002613],[0.00406, 0.00406],[0.005086, 0.005086]]"
+"104","2024-11-11","[[0.005457, 0.005457],[0.00437, 0.00437],[0.002577, 0.002577],[0.003959, 0.003959],[0.005076, 0.005076]]"
+"105","2024-11-12","[[0.00542, 0.00542],[0.004325, 0.004325],[0.002539, 0.002539],[0.003857, 0.003857],[0.005064, 0.005064]]"
+"106","2024-11-13","[[0.005382, 0.005382],[0.004279, 0.004279],[0.002501, 0.002501],[0.003755, 0.003755],[0.00505, 0.00505]]"
+"107","2024-11-14","[[0.005343, 0.005343],[0.004232, 0.004232],[0.002462, 0.002462],[0.003652, 0.003652],[0.005035, 0.005035]]"
+"108","2024-11-15","[[0.005301, 0.005301],[0.004184, 0.004184],[0.002422, 0.002422],[0.003549, 0.003549],[0.005017, 0.005017]]"
+"109","2024-11-16","[[0.005259, 0.005259],[0.004135, 0.004135],[0.002382, 0.002382],[0.003446, 0.003446],[0.004997, 0.004997]]"
+"110","2024-11-17","[[0.005214, 0.005214],[0.004084, 0.004084],[0.002341, 0.002341],[0.003344, 0.003344],[0.004976, 0.004976]]"
+"111","2024-11-18","[[0.005169, 0.005169],[0.004033, 0.004033],[0.002299, 0.002299],[0.003242, 0.003242],[0.004952, 0.004952]]"
+"112","2024-11-19","[[0.005122, 0.005122],[0.003981, 0.003981],[0.002257, 0.002257],[0.003141, 0.003141],[0.004927, 0.004927]]"
+"113","2024-11-20","[[0.005073, 0.005073],[0.003928, 0.003928],[0.002215, 0.002215],[0.003041, 0.003041],[0.0049, 0.0049]]"
+"114","2024-11-21","[[0.005024, 0.005024],[0.003875, 0.003875],[0.002172, 0.002172],[0.002943, 0.002943],[0.004871, 0.004871]]"
+"115","2024-11-22","[[0.004973, 0.004973],[0.00382, 0.00382],[0.002129, 0.002129],[0.002845, 0.002845],[0.004841, 0.004841]]"
+"116","2024-11-23","[[0.004921, 0.004921],[0.003766, 0.003766],[0.002086, 0.002086],[0.002749, 0.002749],[0.004808, 0.004808]]"
+"117","2024-11-24","[[0.004869, 0.004869],[0.00371, 0.00371],[0.002043, 0.002043],[0.002655, 0.002655],[0.004775, 0.004775]]"
+"118","2024-11-25","[[0.004815, 0.004815],[0.003655, 0.003655],[0.002, 0.002],[0.002562, 0.002562],[0.004739, 0.004739]]"
+"119","2024-11-26","[[0.00476, 0.00476],[0.003598, 0.003598],[0.001957, 0.001957],[0.002471, 0.002471],[0.004702, 0.004702]]"
+"120","2024-11-27","[[0.004705, 0.004705],[0.003542, 0.003542],[0.001915, 0.001915],[0.002382, 0.002382],[0.004664, 0.004664]]"
+"121","2024-11-28","[[0.004648, 0.004648],[0.003485, 0.003485],[0.001872, 0.001872],[0.002296, 0.002296],[0.004624, 0.004624]]"
+"122","2024-11-29","[[0.004591, 0.004591],[0.003428, 0.003428],[0.001829, 0.001829],[0.002211, 0.002211],[0.004583, 0.004583]]"
+"123","2024-11-30","[[0.004533, 0.004533],[0.003371, 0.003371],[0.001787, 0.001787],[0.002128, 0.002128],[0.004541, 0.004541]]"
+"124","2024-12-01","[[0.004475, 0.004475],[0.003314, 0.003314],[0.001745, 0.001745],[0.002047, 0.002047],[0.004497, 0.004497]]"
+"125","2024-12-02","[[0.004416, 0.004416],[0.003257, 0.003257],[0.001703, 0.001703],[0.001969, 0.001969],[0.004453, 0.004453]]"
+"126","2024-12-03","[[0.004357, 0.004357],[0.0032, 0.0032],[0.001662, 0.001662],[0.001892, 0.001892],[0.004407, 0.004407]]"
+"127","2024-12-04","[[0.004297, 0.004297],[0.003143, 0.003143],[0.001621, 0.001621],[0.001818, 0.001818],[0.00436, 0.00436]]"
+"128","2024-12-05","[[0.004237, 0.004237],[0.003086, 0.003086],[0.00158, 0.00158],[0.001746, 0.001746],[0.004312, 0.004312]]"
+"129","2024-12-06","[[0.004176, 0.004176],[0.003029, 0.003029],[0.00154, 0.00154],[0.001676, 0.001676],[0.004263, 0.004263]]"
+"130","2024-12-07","[[0.004115, 0.004115],[0.002972, 0.002972],[0.001501, 0.001501],[0.001609, 0.001609],[0.004213, 0.004213]]"
+"131","2024-12-08","[[0.004054, 0.004054],[0.002916, 0.002916],[0.001462, 0.001462],[0.001543, 0.001543],[0.004163, 0.004163]]"
+"132","2024-12-09","[[0.003993, 0.003993],[0.00286, 0.00286],[0.001423, 0.001423],[0.00148, 0.00148],[0.004111, 0.004111]]"
+"133","2024-12-10","[[0.003932, 0.003932],[0.002804, 0.002804],[0.001385, 0.001385],[0.001419, 0.001419],[0.004059, 0.004059]]"
+"134","2024-12-11","[[0.00387, 0.00387],[0.002749, 0.002749],[0.001348, 0.001348],[0.00136, 0.00136],[0.004006, 0.004006]]"
+"135","2024-12-12","[[0.003809, 0.003809],[0.002694, 0.002694],[0.001311, 0.001311],[0.001303, 0.001303],[0.003953, 0.003953]]"
+"136","2024-12-13","[[0.003747, 0.003747],[0.002639, 0.002639],[0.001275, 0.001275],[0.001248, 0.001248],[0.003899, 0.003899]]"
+"137","2024-12-14","[[0.003686, 0.003686],[0.002585, 0.002585],[0.00124, 0.00124],[0.001195, 0.001195],[0.003845, 0.003845]]"
+"138","2024-12-15","[[0.003625, 0.003625],[0.002532, 0.002532],[0.001205, 0.001205],[0.001144, 0.001144],[0.003791, 0.003791]]"
+"139","2024-12-16","[[0.003564, 0.003564],[0.002479, 0.002479],[0.001171, 0.001171],[0.001095, 0.001095],[0.003736, 0.003736]]"
+"140","2024-12-17","[[0.003503, 0.003503],[0.002426, 0.002426],[0.001138, 0.001138],[0.001047, 0.001047],[0.00368, 0.00368]]"
+"141","2024-12-18","[[0.003443, 0.003443],[0.002374, 0.002374],[0.001105, 0.001105],[0.001002, 0.001002],[0.003625, 0.003625]]"
+"142","2024-12-19","[[0.003382, 0.003382],[0.002323, 0.002323],[0.001073, 0.001073],[0.000958, 0.000958],[0.003569, 0.003569]]"
+"143","2024-12-20","[[0.003322, 0.003322],[0.002272, 0.002272],[0.001041, 0.001041],[0.000916, 0.000916],[0.003513, 0.003513]]"
+"144","2024-12-21","[[0.003263, 0.003263],[0.002222, 0.002222],[0.001011, 0.001011],[0.000876, 0.000876],[0.003457, 0.003457]]"
+"145","2024-12-22","[[0.003204, 0.003204],[0.002173, 0.002173],[0.000981, 0.000981],[0.000837, 0.000837],[0.003401, 0.003401]]"
+"146","2024-12-23","[[0.003145, 0.003145],[0.002124, 0.002124],[0.000951, 0.000951],[0.0008, 0.0008],[0.003345, 0.003345]]"
+"147","2024-12-24","[[0.003086, 0.003086],[0.002076, 0.002076],[0.000923, 0.000923],[0.000764, 0.000764],[0.003289, 0.003289]]"
+"148","2024-12-25","[[0.003028, 0.003028],[0.002029, 0.002029],[0.000895, 0.000895],[0.00073, 0.00073],[0.003233, 0.003233]]"
+"149","2024-12-26","[[0.002971, 0.002971],[0.001982, 0.001982],[0.000867, 0.000867],[0.000697, 0.000697],[0.003178, 0.003178]]"
+"150","2024-12-27","[[0.002914, 0.002914],[0.001936, 0.001936],[0.000841, 0.000841],[0.000666, 0.000666],[0.003122, 0.003122]]"
+"151","2024-12-28","[[0.002858, 0.002858],[0.001891, 0.001891],[0.000815, 0.000815],[0.000636, 0.000636],[0.003067, 0.003067]]"
+"152","2024-12-29","[[0.002802, 0.002802],[0.001846, 0.001846],[0.00079, 0.00079],[0.000607, 0.000607],[0.003012, 0.003012]]"
+"153","2024-12-30","[[0.002747, 0.002747],[0.001803, 0.001803],[0.000765, 0.000765],[0.000579, 0.000579],[0.002957, 0.002957]]"
+"154","2024-12-31","[[0.002692, 0.002692],[0.00176, 0.00176],[0.000741, 0.000741],[0.000553, 0.000553],[0.002902, 0.002902]]"
+"155","2025-01-01","[[0.002638, 0.002638],[0.001717, 0.001717],[0.000718, 0.000718],[0.000528, 0.000528],[0.002848, 0.002848]]"
+"156","2025-01-02","[[0.002585, 0.002585],[0.001676, 0.001676],[0.000695, 0.000695],[0.000503, 0.000503],[0.002794, 0.002794]]"
+"157","2025-01-03","[[0.002532, 0.002532],[0.001635, 0.001635],[0.000673, 0.000673],[0.00048, 0.00048],[0.002741, 0.002741]]"
+"158","2025-01-04","[[0.00248, 0.00248],[0.001595, 0.001595],[0.000651, 0.000651],[0.000458, 0.000458],[0.002688, 0.002688]]"
+"159","2025-01-05","[[0.002429, 0.002429],[0.001556, 0.001556],[0.00063, 0.00063],[0.000437, 0.000437],[0.002636, 0.002636]]"
+"160","2025-01-06","[[0.002378, 0.002378],[0.001517, 0.001517],[0.00061, 0.00061],[0.000417, 0.000417],[0.002584, 0.002584]]"
+"161","2025-01-07","[[0.002328, 0.002328],[0.00148, 0.00148],[0.00059, 0.00059],[0.000398, 0.000398],[0.002532, 0.002532]]"
+"162","2025-01-08","[[0.002279, 0.002279],[0.001442, 0.001442],[0.000571, 0.000571],[0.000379, 0.000379],[0.002481, 0.002481]]"
+"163","2025-01-09","[[0.00223, 0.00223],[0.001406, 0.001406],[0.000552, 0.000552],[0.000362, 0.000362],[0.002431, 0.002431]]"
+"164","2025-01-10","[[0.002182, 0.002182],[0.001371, 0.001371],[0.000534, 0.000534],[0.000345, 0.000345],[0.002381, 0.002381]]"
+"165","2025-01-11","[[0.002135, 0.002135],[0.001336, 0.001336],[0.000517, 0.000517],[0.000329, 0.000329],[0.002332, 0.002332]]"
+"166","2025-01-12","[[0.002089, 0.002089],[0.001302, 0.001302],[0.0005, 0.0005],[0.000313, 0.000313],[0.002283, 0.002283]]"
+"167","2025-01-13","[[0.002043, 0.002043],[0.001268, 0.001268],[0.000483, 0.000483],[0.000299, 0.000299],[0.002235, 0.002235]]"
+"168","2025-01-14","[[0.001998, 0.001998],[0.001236, 0.001236],[0.000467, 0.000467],[0.000285, 0.000285],[0.002187, 0.002187]]"
+"169","2025-01-15","[[0.001954, 0.001954],[0.001204, 0.001204],[0.000451, 0.000451],[0.000271, 0.000271],[0.002141, 0.002141]]"
+"170","2025-01-16","[[0.00191, 0.00191],[0.001172, 0.001172],[0.000436, 0.000436],[0.000259, 0.000259],[0.002094, 0.002094]]"
+"171","2025-01-17","[[0.001867, 0.001867],[0.001142, 0.001142],[0.000422, 0.000422],[0.000246, 0.000246],[0.002049, 0.002049]]"
+"172","2025-01-18","[[0.001825, 0.001825],[0.001112, 0.001112],[0.000408, 0.000408],[0.000235, 0.000235],[0.002004, 0.002004]]"
+"173","2025-01-19","[[0.001784, 0.001784],[0.001083, 0.001083],[0.000394, 0.000394],[0.000224, 0.000224],[0.00196, 0.00196]]"
+"174","2025-01-20","[[0.001743, 0.001743],[0.001054, 0.001054],[0.00038, 0.00038],[0.000213, 0.000213],[0.001916, 0.001916]]"
+"175","2025-01-21","[[0.001704, 0.001704],[0.001026, 0.001026],[0.000368, 0.000368],[0.000203, 0.000203],[0.001873, 0.001873]]"
+"176","2025-01-22","[[0.001664, 0.001664],[0.000999, 0.000999],[0.000355, 0.000355],[0.000194, 0.000194],[0.001831, 0.001831]]"
+"177","2025-01-23","[[0.001626, 0.001626],[0.000972, 0.000972],[0.000343, 0.000343],[0.000184, 0.000184],[0.00179, 0.00179]]"
+"178","2025-01-24","[[0.001588, 0.001588],[0.000946, 0.000946],[0.000331, 0.000331],[0.000176, 0.000176],[0.001749, 0.001749]]"
+"179","2025-01-25","[[0.001551, 0.001551],[0.000921, 0.000921],[0.00032, 0.00032],[0.000167, 0.000167],[0.001709, 0.001709]]"
+"180","2025-01-26","[[0.001515, 0.001515],[0.000896, 0.000896],[0.000309, 0.000309],[0.000159, 0.000159],[0.00167, 0.00167]]"
+"181","2025-01-27","[[0.001479, 0.001479],[0.000872, 0.000872],[0.000299, 0.000299],[0.000152, 0.000152],[0.001631, 0.001631]]"
+"182","2025-01-28","[[0.001445, 0.001445],[0.000848, 0.000848],[0.000288, 0.000288],[0.000145, 0.000145],[0.001593, 0.001593]]"
+"183","2025-01-29","[[0.00141, 0.00141],[0.000825, 0.000825],[0.000278, 0.000278],[0.000138, 0.000138],[0.001556, 0.001556]]"
+"184","2025-01-30","[[0.001377, 0.001377],[0.000803, 0.000803],[0.000269, 0.000269],[0.000131, 0.000131],[0.001519, 0.001519]]"
+"185","2025-01-31","[[0.001344, 0.001344],[0.000781, 0.000781],[0.000259, 0.000259],[0.000125, 0.000125],[0.001483, 0.001483]]"
+"186","2025-02-01","[[0.001312, 0.001312],[0.000759, 0.000759],[0.00025, 0.00025],[0.000119, 0.000119],[0.001448, 0.001448]]"
+"187","2025-02-02","[[0.00128, 0.00128],[0.000738, 0.000738],[0.000242, 0.000242],[0.000113, 0.000113],[0.001413, 0.001413]]"
+"188","2025-02-03","[[0.001249, 0.001249],[0.000718, 0.000718],[0.000233, 0.000233],[0.000108, 0.000108],[0.001379, 0.001379]]"
+"189","2025-02-04","[[0.001219, 0.001219],[0.000698, 0.000698],[0.000225, 0.000225],[0.000103, 0.000103],[0.001346, 0.001346]]"
+"190","2025-02-05","[[0.00119, 0.00119],[0.000679, 0.000679],[0.000217, 0.000217],[0.000098, 0.000098],[0.001313, 0.001313]]"
+"191","2025-02-06","[[0.001161, 0.001161],[0.00066, 0.00066],[0.00021, 0.00021],[0.000093, 0.000093],[0.001281, 0.001281]]"
+"192","2025-02-07","[[0.001132, 0.001132],[0.000642, 0.000642],[0.000203, 0.000203],[0.000089, 0.000089],[0.00125, 0.00125]]"
+"193","2025-02-08","[[0.001105, 0.001105],[0.000624, 0.000624],[0.000196, 0.000196],[0.000085, 0.000085],[0.001219, 0.001219]]"
+"194","2025-02-09","[[0.001078, 0.001078],[0.000607, 0.000607],[0.000189, 0.000189],[0.000081, 0.000081],[0.001189, 0.001189]]"
+"195","2025-02-10","[[0.001051, 0.001051],[0.00059, 0.00059],[0.000182, 0.000182],[0.000077, 0.000077],[0.00116, 0.00116]]"
+"196","2025-02-11","[[0.001025, 0.001025],[0.000573, 0.000573],[0.000176, 0.000176],[0.000073, 0.000073],[0.001131, 0.001131]]"
+"197","2025-02-12","[[0.001, 0.001],[0.000557, 0.000557],[0.00017, 0.00017],[0.00007, 0.00007],[0.001103, 0.001103]]"
+"198","2025-02-13","[[0.000975, 0.000975],[0.000541, 0.000541],[0.000164, 0.000164],[0.000066, 0.000066],[0.001076, 0.001076]]"
+"199","2025-02-14","[[0.000951, 0.000951],[0.000526, 0.000526],[0.000158, 0.000158],[0.000063, 0.000063],[0.001049, 0.001049]]"
+"200","2025-02-15","[[0.000927, 0.000927],[0.000511, 0.000511],[0.000152, 0.000152],[0.00006, 0.00006],[0.001022, 0.001022]]"
+"201","2025-02-16","[[0.000904, 0.000904],[0.000497, 0.000497],[0.000147, 0.000147],[0.000057, 0.000057],[0.000997, 0.000997]]"
+"202","2025-02-17","[[0.000881, 0.000881],[0.000483, 0.000483],[0.000142, 0.000142],[0.000054, 0.000054],[0.000971, 0.000971]]"
+"203","2025-02-18","[[0.000859, 0.000859],[0.000469, 0.000469],[0.000137, 0.000137],[0.000052, 0.000052],[0.000947, 0.000947]]"
+"204","2025-02-19","[[0.000837, 0.000837],[0.000456, 0.000456],[0.000132, 0.000132],[0.000049, 0.000049],[0.000923, 0.000923]]"
+"205","2025-02-20","[[0.000816, 0.000816],[0.000443, 0.000443],[0.000127, 0.000127],[0.000047, 0.000047],[0.000899, 0.000899]]"
+"206","2025-02-21","[[0.000795, 0.000795],[0.00043, 0.00043],[0.000123, 0.000123],[0.000045, 0.000045],[0.000876, 0.000876]]"
+"207","2025-02-22","[[0.000775, 0.000775],[0.000418, 0.000418],[0.000118, 0.000118],[0.000043, 0.000043],[0.000854, 0.000854]]"
+"208","2025-02-23","[[0.000756, 0.000756],[0.000406, 0.000406],[0.000114, 0.000114],[0.000041, 0.000041],[0.000832, 0.000832]]"
+"209","2025-02-24","[[0.000736, 0.000736],[0.000395, 0.000395],[0.00011, 0.00011],[0.000039, 0.000039],[0.00081, 0.00081]]"
+"210","2025-02-25","[[0.000718, 0.000718],[0.000383, 0.000383],[0.000106, 0.000106],[0.000037, 0.000037],[0.000789, 0.000789]]"
+"211","2025-02-26","[[0.000699, 0.000699],[0.000372, 0.000372],[0.000102, 0.000102],[0.000035, 0.000035],[0.000769, 0.000769]]"
+"212","2025-02-27","[[0.000681, 0.000681],[0.000362, 0.000362],[0.000099, 0.000099],[0.000033, 0.000033],[0.000749, 0.000749]]"
+"213","2025-02-28","[[0.000664, 0.000664],[0.000351, 0.000351],[0.000095, 0.000095],[0.000032, 0.000032],[0.000729, 0.000729]]"
+"214","2025-03-01","[[0.000647, 0.000647],[0.000341, 0.000341],[0.000092, 0.000092],[0.00003, 0.00003],[0.00071, 0.00071]]"
+"215","2025-03-02","[[0.00063, 0.00063],[0.000331, 0.000331],[0.000089, 0.000089],[0.000029, 0.000029],[0.000692, 0.000692]]"
+"216","2025-03-03","[[0.000614, 0.000614],[0.000322, 0.000322],[0.000086, 0.000086],[0.000027, 0.000027],[0.000674, 0.000674]]"
+"217","2025-03-04","[[0.000598, 0.000598],[0.000313, 0.000313],[0.000082, 0.000082],[0.000026, 0.000026],[0.000656, 0.000656]]"
+"218","2025-03-05","[[0.000583, 0.000583],[0.000303, 0.000303],[0.00008, 0.00008],[0.000025, 0.000025],[0.000639, 0.000639]]"
+"219","2025-03-06","[[0.000568, 0.000568],[0.000295, 0.000295],[0.000077, 0.000077],[0.000024, 0.000024],[0.000622, 0.000622]]"
+"220","2025-03-07","[[0.000553, 0.000553],[0.000286, 0.000286],[0.000074, 0.000074],[0.000022, 0.000022],[0.000606, 0.000606]]"
+"221","2025-03-08","[[0.000539, 0.000539],[0.000278, 0.000278],[0.000071, 0.000071],[0.000021, 0.000021],[0.00059, 0.00059]]"
+"222","2025-03-09","[[0.000525, 0.000525],[0.00027, 0.00027],[0.000069, 0.000069],[0.00002, 0.00002],[0.000574, 0.000574]]"
+"223","2025-03-10","[[0.000511, 0.000511],[0.000262, 0.000262],[0.000066, 0.000066],[0.000019, 0.000019],[0.000559, 0.000559]]"
+"224","2025-03-11","[[0.000498, 0.000498],[0.000254, 0.000254],[0.000064, 0.000064],[0.000018, 0.000018],[0.000544, 0.000544]]"
+"225","2025-03-12","[[0.000485, 0.000485],[0.000247, 0.000247],[0.000062, 0.000062],[0.000018, 0.000018],[0.000529, 0.000529]]"
+"226","2025-03-13","[[0.000472, 0.000472],[0.00024, 0.00024],[0.000059, 0.000059],[0.000017, 0.000017],[0.000515, 0.000515]]"
+"227","2025-03-14","[[0.00046, 0.00046],[0.000233, 0.000233],[0.000057, 0.000057],[0.000016, 0.000016],[0.000502, 0.000502]]"
+"228","2025-03-15","[[0.000448, 0.000448],[0.000226, 0.000226],[0.000055, 0.000055],[0.000015, 0.000015],[0.000488, 0.000488]]"
+"229","2025-03-16","[[0.000436, 0.000436],[0.00022, 0.00022],[0.000053, 0.000053],[0.000014, 0.000014],[0.000475, 0.000475]]"
+"230","2025-03-17","[[0.000425, 0.000425],[0.000213, 0.000213],[0.000051, 0.000051],[0.000014, 0.000014],[0.000462, 0.000462]]"
+"231","2025-03-18","[[0.000414, 0.000414],[0.000207, 0.000207],[0.00005, 0.00005],[0.000013, 0.000013],[0.00045, 0.00045]]"
+"232","2025-03-19","[[0.000403, 0.000403],[0.000201, 0.000201],[0.000048, 0.000048],[0.000012, 0.000012],[0.000438, 0.000438]]"
+"233","2025-03-20","[[0.000392, 0.000392],[0.000195, 0.000195],[0.000046, 0.000046],[0.000012, 0.000012],[0.000426, 0.000426]]"
+"234","2025-03-21","[[0.000382, 0.000382],[0.000189, 0.000189],[0.000044, 0.000044],[0.000011, 0.000011],[0.000415, 0.000415]]"
+"235","2025-03-22","[[0.000372, 0.000372],[0.000184, 0.000184],[0.000043, 0.000043],[0.000011, 0.000011],[0.000403, 0.000403]]"
+"236","2025-03-23","[[0.000362, 0.000362],[0.000178, 0.000178],[0.000041, 0.000041],[0.00001, 0.00001],[0.000392, 0.000392]]"
+"237","2025-03-24","[[0.000352, 0.000352],[0.000173, 0.000173],[0.00004, 0.00004],[0.00001, 0.00001],[0.000382, 0.000382]]"
+"238","2025-03-25","[[0.000343, 0.000343],[0.000168, 0.000168],[0.000038, 0.000038],[0.000009, 0.000009],[0.000372, 0.000372]]"
+"239","2025-03-26","[[0.000334, 0.000334],[0.000163, 0.000163],[0.000037, 0.000037],[0.000009, 0.000009],[0.000361, 0.000361]]"
+"240","2025-03-27","[[0.000325, 0.000325],[0.000158, 0.000158],[0.000036, 0.000036],[0.000008, 0.000008],[0.000352, 0.000352]]"
+"241","2025-03-28","[[0.000317, 0.000317],[0.000154, 0.000154],[0.000034, 0.000034],[0.000008, 0.000008],[0.000342, 0.000342]]"
+"242","2025-03-29","[[0.000308, 0.000308],[0.000149, 0.000149],[0.000033, 0.000033],[0.000008, 0.000008],[0.000333, 0.000333]]"
+"243","2025-03-30","[[0.0003, 0.0003],[0.000145, 0.000145],[0.000032, 0.000032],[0.000007, 0.000007],[0.000324, 0.000324]]"
+"244","2025-03-31","[[0.000292, 0.000292],[0.000141, 0.000141],[0.000031, 0.000031],[0.000007, 0.000007],[0.000315, 0.000315]]"
+"245","2025-04-01","[[0.000284, 0.000284],[0.000137, 0.000137],[0.00003, 0.00003],[0.000007, 0.000007],[0.000306, 0.000306]]"
+"246","2025-04-02","[[0.000277, 0.000277],[0.000133, 0.000133],[0.000029, 0.000029],[0.000006, 0.000006],[0.000298, 0.000298]]"
+"247","2025-04-03","[[0.000269, 0.000269],[0.000129, 0.000129],[0.000028, 0.000028],[0.000006, 0.000006],[0.00029, 0.00029]]"
+"248","2025-04-04","[[0.000262, 0.000262],[0.000125, 0.000125],[0.000027, 0.000027],[0.000006, 0.000006],[0.000282, 0.000282]]"
+"249","2025-04-05","[[0.000255, 0.000255],[0.000121, 0.000121],[0.000026, 0.000026],[0.000005, 0.000005],[0.000274, 0.000274]]"
+"250","2025-04-06","[[0.000248, 0.000248],[0.000118, 0.000118],[0.000025, 0.000025],[0.000005, 0.000005],[0.000267, 0.000267]]"
+"251","2025-04-07","[[0.000242, 0.000242],[0.000114, 0.000114],[0.000024, 0.000024],[0.000005, 0.000005],[0.000259, 0.000259]]"
+"252","2025-04-08","[[0.000235, 0.000235],[0.000111, 0.000111],[0.000023, 0.000023],[0.000005, 0.000005],[0.000252, 0.000252]]"
+"253","2025-04-09","[[0.000229, 0.000229],[0.000108, 0.000108],[0.000022, 0.000022],[0.000004, 0.000004],[0.000245, 0.000245]]"
+"254","2025-04-10","[[0.000223, 0.000223],[0.000104, 0.000104],[0.000021, 0.000021],[0.000004, 0.000004],[0.000239, 0.000239]]"
+"255","2025-04-11","[[0.000217, 0.000217],[0.000101, 0.000101],[0.000021, 0.000021],[0.000004, 0.000004],[0.000232, 0.000232]]"
+"256","2025-04-12","[[0.000211, 0.000211],[0.000098, 0.000098],[0.00002, 0.00002],[0.000004, 0.000004],[0.000226, 0.000226]]"
+"257","2025-04-13","[[0.000206, 0.000206],[0.000095, 0.000095],[0.000019, 0.000019],[0.000004, 0.000004],[0.00022, 0.00022]]"
+"258","2025-04-14","[[0.0002, 0.0002],[0.000093, 0.000093],[0.000018, 0.000018],[0.000003, 0.000003],[0.000214, 0.000214]]"
+"259","2025-04-15","[[0.000195, 0.000195],[0.00009, 0.00009],[0.000018, 0.000018],[0.000003, 0.000003],[0.000208, 0.000208]]"
+"260","2025-04-16","[[0.000189, 0.000189],[0.000087, 0.000087],[0.000017, 0.000017],[0.000003, 0.000003],[0.000202, 0.000202]]"
+"261","2025-04-17","[[0.000184, 0.000184],[0.000085, 0.000085],[0.000017, 0.000017],[0.000003, 0.000003],[0.000196, 0.000196]]"
+"262","2025-04-18","[[0.000179, 0.000179],[0.000082, 0.000082],[0.000016, 0.000016],[0.000003, 0.000003],[0.000191, 0.000191]]"
+"263","2025-04-19","[[0.000175, 0.000175],[0.00008, 0.00008],[0.000015, 0.000015],[0.000003, 0.000003],[0.000186, 0.000186]]"
+"264","2025-04-20","[[0.00017, 0.00017],[0.000077, 0.000077],[0.000015, 0.000015],[0.000003, 0.000003],[0.000181, 0.000181]]"
+"265","2025-04-21","[[0.000165, 0.000165],[0.000075, 0.000075],[0.000014, 0.000014],[0.000002, 0.000002],[0.000176, 0.000176]]"
+"266","2025-04-22","[[0.000161, 0.000161],[0.000073, 0.000073],[0.000014, 0.000014],[0.000002, 0.000002],[0.000171, 0.000171]]"
+"267","2025-04-23","[[0.000157, 0.000157],[0.000071, 0.000071],[0.000013, 0.000013],[0.000002, 0.000002],[0.000166, 0.000166]]"
+"268","2025-04-24","[[0.000152, 0.000152],[0.000069, 0.000069],[0.000013, 0.000013],[0.000002, 0.000002],[0.000161, 0.000161]]"
+"269","2025-04-25","[[0.000148, 0.000148],[0.000067, 0.000067],[0.000012, 0.000012],[0.000002, 0.000002],[0.000157, 0.000157]]"
+"270","2025-04-26","[[0.000144, 0.000144],[0.000065, 0.000065],[0.000012, 0.000012],[0.000002, 0.000002],[0.000153, 0.000153]]"
+"271","2025-04-27","[[0.00014, 0.00014],[0.000063, 0.000063],[0.000011, 0.000011],[0.000002, 0.000002],[0.000148, 0.000148]]"
+"272","2025-04-28","[[0.000137, 0.000137],[0.000061, 0.000061],[0.000011, 0.000011],[0.000002, 0.000002],[0.000144, 0.000144]]"
+"273","2025-04-29","[[0.000133, 0.000133],[0.000059, 0.000059],[0.000011, 0.000011],[0.000002, 0.000002],[0.00014, 0.00014]]"
+"274","2025-04-30","[[0.000129, 0.000129],[0.000057, 0.000057],[0.00001, 0.00001],[0.000002, 0.000002],[0.000136, 0.000136]]"
+"275","2025-05-01","[[0.000126, 0.000126],[0.000056, 0.000056],[0.00001, 0.00001],[0.000001, 0.000001],[0.000133, 0.000133]]"
+"276","2025-05-02","[[0.000123, 0.000123],[0.000054, 0.000054],[0.00001, 0.00001],[0.000001, 0.000001],[0.000129, 0.000129]]"
+"277","2025-05-03","[[0.000119, 0.000119],[0.000052, 0.000052],[0.000009, 0.000009],[0.000001, 0.000001],[0.000125, 0.000125]]"
+"278","2025-05-04","[[0.000116, 0.000116],[0.000051, 0.000051],[0.000009, 0.000009],[0.000001, 0.000001],[0.000122, 0.000122]]"
+"279","2025-05-05","[[0.000113, 0.000113],[0.000049, 0.000049],[0.000009, 0.000009],[0.000001, 0.000001],[0.000118, 0.000118]]"
+"280","2025-05-06","[[0.00011, 0.00011],[0.000048, 0.000048],[0.000008, 0.000008],[0.000001, 0.000001],[0.000115, 0.000115]]"
+"281","2025-05-07","[[0.000107, 0.000107],[0.000046, 0.000046],[0.000008, 0.000008],[0.000001, 0.000001],[0.000112, 0.000112]]"
+"282","2025-05-08","[[0.000104, 0.000104],[0.000045, 0.000045],[0.000008, 0.000008],[0.000001, 0.000001],[0.000109, 0.000109]]"
+"283","2025-05-09","[[0.000101, 0.000101],[0.000044, 0.000044],[0.000007, 0.000007],[0.000001, 0.000001],[0.000106, 0.000106]]"
+"284","2025-05-10","[[0.000098, 0.000098],[0.000042, 0.000042],[0.000007, 0.000007],[0.000001, 0.000001],[0.000103, 0.000103]]"
+"285","2025-05-11","[[0.000096, 0.000096],[0.000041, 0.000041],[0.000007, 0.000007],[0.000001, 0.000001],[0.0001, 0.0001]]"
+"286","2025-05-12","[[0.000093, 0.000093],[0.00004, 0.00004],[0.000007, 0.000007],[0.000001, 0.000001],[0.000097, 0.000097]]"
+"287","2025-05-13","[[0.000091, 0.000091],[0.000039, 0.000039],[0.000006, 0.000006],[0.000001, 0.000001],[0.000095, 0.000095]]"
+"288","2025-05-14","[[0.000088, 0.000088],[0.000038, 0.000038],[0.000006, 0.000006],[0.000001, 0.000001],[0.000092, 0.000092]]"
+"289","2025-05-15","[[0.000086, 0.000086],[0.000036, 0.000036],[0.000006, 0.000006],[0.000001, 0.000001],[0.000089, 0.000089]]"
+"290","2025-05-16","[[0.000084, 0.000084],[0.000035, 0.000035],[0.000006, 0.000006],[0.000001, 0.000001],[0.000087, 0.000087]]"
+"291","2025-05-17","[[0.000081, 0.000081],[0.000034, 0.000034],[0.000005, 0.000005],[0.000001, 0.000001],[0.000084, 0.000084]]"
+"292","2025-05-18","[[0.000079, 0.000079],[0.000033, 0.000033],[0.000005, 0.000005],[0.000001, 0.000001],[0.000082, 0.000082]]"
+"293","2025-05-19","[[0.000077, 0.000077],[0.000032, 0.000032],[0.000005, 0.000005],[0.000001, 0.000001],[0.00008, 0.00008]]"
+"294","2025-05-20","[[0.000075, 0.000075],[0.000031, 0.000031],[0.000005, 0.000005],[0.000001, 0.000001],[0.000078, 0.000078]]"
+"295","2025-05-21","[[0.000073, 0.000073],[0.00003, 0.00003],[0.000005, 0.000005],[0.000001, 0.000001],[0.000075, 0.000075]]"
+"296","2025-05-22","[[0.000071, 0.000071],[0.00003, 0.00003],[0.000005, 0.000005],[0.000001, 0.000001],[0.000073, 0.000073]]"
+"297","2025-05-23","[[0.000069, 0.000069],[0.000029, 0.000029],[0.000004, 0.000004],[0.000001, 0.000001],[0.000071, 0.000071]]"
+"298","2025-05-24","[[0.000067, 0.000067],[0.000028, 0.000028],[0.000004, 0.000004],[0, 0],[0.000069, 0.000069]]"
+"299","2025-05-25","[[0.000065, 0.000065],[0.000027, 0.000027],[0.000004, 0.000004],[0, 0],[0.000067, 0.000067]]"
+"300","2025-05-26","[[0.000063, 0.000063],[0.000026, 0.000026],[0.000004, 0.000004],[0, 0],[0.000065, 0.000065]]"
+"301","2025-05-27","[[0.000062, 0.000062],[0.000025, 0.000025],[0.000004, 0.000004],[0, 0],[0.000064, 0.000064]]"
+"302","2025-05-28","[[0.00006, 0.00006],[0.000025, 0.000025],[0.000004, 0.000004],[0, 0],[0.000062, 0.000062]]"
+"303","2025-05-29","[[0.000058, 0.000058],[0.000024, 0.000024],[0.000004, 0.000004],[0, 0],[0.00006, 0.00006]]"
+"304","2025-05-30","[[0.000057, 0.000057],[0.000023, 0.000023],[0.000003, 0.000003],[0, 0],[0.000058, 0.000058]]"
+"305","2025-05-31","[[0.000055, 0.000055],[0.000023, 0.000023],[0.000003, 0.000003],[0, 0],[0.000057, 0.000057]]"
diff --git a/flu_instances/austin_input_files_2024_2025/init_vals_East.json b/flu_instances/austin_input_files_2024_2025/init_vals_East.json
new file mode 100644
index 0000000..a1753e8
--- /dev/null
+++ b/flu_instances/austin_input_files_2024_2025/init_vals_East.json
@@ -0,0 +1,62 @@
+{
+	"S": [[27955, 1565],
+		[57713, 7944],
+		[230036, 52564],
+		[43894, 24053],
+		[19641, 23908]],
+	"E": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"IP": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"ISR": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"ISH": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"IA": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"HR": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"HD": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"R": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"D": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"M": [[0.0855, 0.0855],
+		[0.1382, 0.1382],
+		[0.0178, 0.0178],
+		[0.0667, 0.0667],
+		[0.0213, 0.0213]],
+	"MV": [[0.0, 0.0],
+		[0.0, 0.0],
+		[0.0, 0.0],
+		[0.0, 0.0],
+		[0.0, 0.0]]
+}
diff --git a/flu_instances/austin_input_files_2024_2025/init_vals_West.json b/flu_instances/austin_input_files_2024_2025/init_vals_West.json
new file mode 100644
index 0000000..4554221
--- /dev/null
+++ b/flu_instances/austin_input_files_2024_2025/init_vals_West.json
@@ -0,0 +1,62 @@
+{
+	"S": [[30159, 1521],
+		[85868, 10721],
+		[282322, 62394],
+		[75991, 40918],
+		[39276, 48400]],
+	"E": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[5, 0]],
+	"IP": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"ISR": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"ISH": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"IA": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"HR": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"HD": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"R": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"D": [[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0],
+		[0, 0]],
+	"M": [[0.0463, 0.0463],
+		[0.0486, 0.0486],
+		[0.0141, 0.0141],
+		[0.0269, 0.0269],
+		[0.0133, 0.0133]],
+	"MV": [[0.0, 0.0],
+		[0.0, 0.0],
+		[0.0, 0.0],
+		[0.0, 0.0],
+		[0.0, 0.0]]
+}
diff --git a/flu_instances/austin_input_files_2024_2025/init_vals_east.json b/flu_instances/austin_input_files_2024_2025/init_vals_east.json
deleted file mode 100644
index ce06dcd..0000000
--- a/flu_instances/austin_input_files_2024_2025/init_vals_east.json
+++ /dev/null
@@ -1,64 +0,0 @@
-{
-	"S": [[29520],
-		[65657],
-		[282600],
-		[67947],
-		[43549]],
-	"E": [[0],
-		[0],
-		[0],
-		[0],
-		[0]],
-	"IP": [[0],
-		[0],
-		[0],
-		[0],
-		[0]],
-	"ISR": [[0],
-		[0],
-		[0],
-		[0],
-		[0]],
-	"ISH": [[0],
-		[0],
-		[0],
-		[0],
-		[0]],
-	"IA": [[0],
-		[0],
-		[0],
-		[0],
-		[0]],
-	"HR": [[0],
-		[0],
-		[0],
-		[0],
-		[0]],
-	"HD": [[0],
-		[0],
-		[0],
-		[0],
-		[0]],
-	"R": [[0],
-		[0],
-		[0],
-		[0],
-		[0]],
-	"D": [[0],
-		[0],
-		[0],
-		[0],
-		[0]],
-	"M":
-		[[0.1],
-		[0.1],
-		[0.06],
-		[0.08],
-		[0.04]],
-	"MV":
-		[[0.0],
-		[0.0],
-		[0.0],
-		[0.0],
-		[0.0]]
-}
diff --git a/flu_instances/austin_input_files_2024_2025/init_vals_west.json b/flu_instances/austin_input_files_2024_2025/init_vals_west.json
deleted file mode 100644
index ca25bb1..0000000
--- a/flu_instances/austin_input_files_2024_2025/init_vals_west.json
+++ /dev/null
@@ -1,64 +0,0 @@
-{
-	"S": [[31680],
-		[96589],
-		[344686],
-		[116909],
-		[87681]],
-	"E": [[0],
-		[0],
-		[30],
-		[0],
-		[0]],
-	"IP": [[0],
-		[0],
-		[0],
-		[0],
-		[0]],
-	"ISR": [[0],
-		[0],
-		[0],
-		[0],
-		[0]],
-	"ISH": [[0],
-		[0],
-		[0],
-		[0],
-		[0]],
-	"IA": [[0],
-		[0],
-		[0],
-		[0],
-		[0]],
-	"HR": [[0],
-		[0],
-		[0],
-		[0],
-		[0]],
-	"HD": [[0],
-		[0],
-		[0],
-		[0],
-		[0]],
-	"R": [[0],
-		[0],
-		[0],
-		[0],
-		[0]],
-	"D": [[0],
-		[0],
-		[0],
-		[0],
-		[0]],
-	"M":
-		[[0.1],
-		[0.1],
-		[0.06],
-		[0.08],
-		[0.04]],
-	"MV":
-		[[0.0],
-		[0.0],
-		[0.0],
-		[0.0],
-		[0.0]]
-}
diff --git a/flu_instances/austin_input_files_2024_2025/school_work_calendar_austin_East.csv b/flu_instances/austin_input_files_2024_2025/school_work_calendar_austin_East.csv
index 05cf732..34450b5 100644
--- a/flu_instances/austin_input_files_2024_2025/school_work_calendar_austin_East.csv
+++ b/flu_instances/austin_input_files_2024_2025/school_work_calendar_austin_East.csv
@@ -1,305 +1,305 @@
 ,date,is_school_day,is_work_day
-0,2024-08-01,0.0,1
-1,2024-08-02,0.0,1
-2,2024-08-03,0.0,0
-3,2024-08-04,0.0,0
-4,2024-08-05,0.0,1
-5,2024-08-06,0.0,1
-6,2024-08-07,0.17,1
-7,2024-08-08,0.17,1
-8,2024-08-09,0.17,1
-9,2024-08-10,0.0,0
-10,2024-08-11,0.0,0
-11,2024-08-12,0.17,1
-12,2024-08-13,0.32000000000000006,1
-13,2024-08-14,0.41000000000000003,1
-14,2024-08-15,0.41000000000000003,1
-15,2024-08-16,0.41000000000000003,1
-16,2024-08-17,0.0,0
-17,2024-08-18,0.0,0
-18,2024-08-19,0.41000000000000003,1
-19,2024-08-20,1.0,1
-20,2024-08-21,1.0,1
-21,2024-08-22,1.0,1
-22,2024-08-23,1.0,1
-23,2024-08-24,0.0,0
-24,2024-08-25,0.0,0
-25,2024-08-26,1.0,1
-26,2024-08-27,1.0,1
-27,2024-08-28,1.0,1
-28,2024-08-29,1.0,1
-29,2024-08-30,1.0,1
-30,2024-08-31,0.0,0
-31,2024-09-01,0.0,0
-32,2024-09-02,0.0,0
-33,2024-09-03,1.0,1
-34,2024-09-04,1.0,1
-35,2024-09-05,1.0,1
-36,2024-09-06,1.0,1
-37,2024-09-07,0.0,0
-38,2024-09-08,0.0,0
-39,2024-09-09,1.0,1
-40,2024-09-10,1.0,1
-41,2024-09-11,1.0,1
-42,2024-09-12,1.0,1
-43,2024-09-13,1.0,1
-44,2024-09-14,0.0,0
-45,2024-09-15,0.0,0
-46,2024-09-16,1.0,1
-47,2024-09-17,1.0,1
-48,2024-09-18,1.0,1
-49,2024-09-19,1.0,1
-50,2024-09-20,1.0,1
-51,2024-09-21,0.0,0
-52,2024-09-22,0.0,0
-53,2024-09-23,1.0,1
-54,2024-09-24,1.0,1
-55,2024-09-25,1.0,1
-56,2024-09-26,1.0,1
-57,2024-09-27,1.0,1
-58,2024-09-28,0.0,0
-59,2024-09-29,0.0,0
-60,2024-09-30,1.0,1
-61,2024-10-01,1.0,1
-62,2024-10-02,1.0,1
-63,2024-10-03,0.36,1
-64,2024-10-04,0.36,1
-65,2024-10-05,0.0,0
-66,2024-10-06,0.0,0
-67,2024-10-07,1.0,1
-68,2024-10-08,1.0,1
-69,2024-10-09,1.0,1
-70,2024-10-10,1.0,1
-71,2024-10-11,0.9,1
-72,2024-10-12,0.0,0
-73,2024-10-13,0.0,0
-74,2024-10-14,0.0,0
-75,2024-10-15,0.74,1
-76,2024-10-16,0.74,1
-77,2024-10-17,0.74,1
-78,2024-10-18,0.74,1
-79,2024-10-19,0.0,0
-80,2024-10-20,0.0,0
-81,2024-10-21,1.0,1
-82,2024-10-22,1.0,1
-83,2024-10-23,1.0,1
-84,2024-10-24,1.0,1
-85,2024-10-25,1.0,1
-86,2024-10-26,0.0,0
-87,2024-10-27,0.0,0
-88,2024-10-28,1.0,1
-89,2024-10-29,1.0,1
-90,2024-10-30,1.0,1
-91,2024-10-31,1.0,1
-92,2024-11-01,0.26,1
-93,2024-11-02,0.0,0
-94,2024-11-03,0.0,0
-95,2024-11-04,1.0,1
-96,2024-11-05,0.41000000000000003,1
-97,2024-11-06,1.0,1
-98,2024-11-07,1.0,1
-99,2024-11-08,1.0,1
-100,2024-11-09,0.0,0
-101,2024-11-10,0.0,0
-102,2024-11-11,0.91,0
-103,2024-11-12,1.0,1
-104,2024-11-13,1.0,1
-105,2024-11-14,1.0,1
-106,2024-11-15,1.0,1
-107,2024-11-16,0.0,0
-108,2024-11-17,0.0,0
-109,2024-11-18,1.0,1
-110,2024-11-19,1.0,1
-111,2024-11-20,1.0,1
-112,2024-11-21,1.0,1
-113,2024-11-22,1.0,1
-114,2024-11-23,0.0,0
-115,2024-11-24,0.0,0
-116,2024-11-25,0.0,1
-117,2024-11-26,0.0,1
-118,2024-11-27,0.0,1
-119,2024-11-28,0.0,0
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diff --git a/flu_instances/austin_input_files_2024_2025/school_work_calendar_austin_West.csv b/flu_instances/austin_input_files_2024_2025/school_work_calendar_austin_West.csv
index 38a326b..317a8a0 100644
--- a/flu_instances/austin_input_files_2024_2025/school_work_calendar_austin_West.csv
+++ b/flu_instances/austin_input_files_2024_2025/school_work_calendar_austin_West.csv
@@ -1,305 +1,305 @@
 ,date,is_school_day,is_work_day
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diff --git a/flu_instances/austin_input_files_2024_2025/simulation_settings.json b/flu_instances/austin_input_files_2024_2025/simulation_settings.json
index 0014e53..8bba684 100644
--- a/flu_instances/austin_input_files_2024_2025/simulation_settings.json
+++ b/flu_instances/austin_input_files_2024_2025/simulation_settings.json
@@ -2,7 +2,7 @@
 	"timesteps_per_day":7,
 	"transition_type":"binom_deterministic_no_round",
 	"use_deterministic_softplus": false,
-	"start_real_date": "2024-08-14",
+	"start_real_date": "2024-09-15",
 	"save_daily_history": true,
-        "transition_variables_to_save": ["ISH_to_HR", "ISH_to_HD", "S_to_E", "E_to_IP", "R_to_S","IA_to_R", "ISR_to_R","HR_to_R"]
+    "transition_variables_to_save": ["ISH_to_HR", "ISH_to_HD", "S_to_E", "E_to_IP", "R_to_S","IA_to_R", "ISR_to_R","HR_to_R", "HD_to_D"]
 }
diff --git a/flu_instances/austin_input_files_2024_2025/texas_input_files_readme.md b/flu_instances/austin_input_files_2024_2025/texas_input_files_readme.md
deleted file mode 100644
index bd033aa..0000000
--- a/flu_instances/austin_input_files_2024_2025/texas_input_files_readme.md
+++ /dev/null
@@ -1,79 +0,0 @@
-Notes
-- "B&B 2025" refers to Bi & Bandekar et al's paper draft for influenza burden averted, using the immunoSEIRS model. 
-- "CLT Lit Review" refers to the literature review that the whole group did to identify fixed values or reasonable ranges for various parameters.
-- "Anass Analysis 2025" refers to new within-host model analysis conducted by Anass (using linear dM/dt differential equations)
-
-Note: the order that the parameter values are described in this README may not necessarily match the order given in the input files.
-
-# "school_work_calendar.csv"
-
-***MUST BE UPDATED!*** This is taken from previous bespoke Austin model work (Dave Morton and Nazli Arslan), and is also from 2022-2023.
-
-# "daily_vaccines_constant.csv"
-
-***MUST BE UPDATED!*** This is a placeholder file -- notice that all "daily_vaccines" are 100. Must be updated with actual historical time series. 
-
-# "absolute_humidity_austin_2023_2024.csv"
-
-From Remy!
-
-# "common_subpop_params.json"
-
-This `JSON` file has parameter values currently used in calibration attempts. A simple initial calibration attempt is to obtain a sensible `beta_baseline` (and potentially sensible population-level immunity parameter values and initial values) for one subpopulation.
-
-Note that many of the fixed parameters will likely be common across city models, but some of them may be replaced by city-specific estimates from city-specific data sources. 
-
-## Fixed parameters 
-- `num_age_groups`, `num_risk_groups` -- we agreed that we have 5 age groups (0-4, 5-17, 18-49, 50-64, 65+).
-- `total_contact_matrix` -- based on total contact matrix (contact rates, not probabilities) from [MOBS](https://github.com/mobs-lab/mixing-patterns) shared by Kaiming in March 2025 CLT meeting -- currently weighted by TEXAS population distribution among age groups -- city-level models may want to replace this with their city-specific population distributions, if available. See `README.md` in `derived_inputs_computation` folder for how this is computed. 
-- `H_to_R_rate`, `H_to_D_rate` -- B+B 2025 and CLT Lit Review -- may eventually replace with city-specific hospitalization data
-- `hosp_risk_reduce`, `inf_risk_reduce`, `death_risk_reduce` -- B+B 2025 
-    - Assume `death_risk_reduce` is same as `hosp_risk_reduce`
-- `IA_to_R_rate` -- CLT Lit Review (Remy)
-- `IA_relative_inf`, `IP_relative_inf` -- CLT Lit Review (Remy)
-- `E_to_I_rate` -- CLT Lit Review (Remy)
-- `IP_to_IS_rate` -- CLT Lit Review (Remy)
-- `IS_to_R_rate` -- CLT Lit Review (Remy)
-- `E_to_IA_prop` -- CLT Lit Review (Remy)
-- `IS_to_H_rate` -- CLT Lit Review (Sonny) -- but may eventually get age-specific rates from hospital data
-- `H_to_R_rate` -- B&B 2025 -- also may eventually get from hospital data
-- `H_to_D_rate` -- B&B 2025 and CLT Lit Review -- may eventually get from hospital data
-- `IS_to_H_adjusted_prop` -— for the non-rate-adjusted proportion, used [2023-2024 CDC estimates](https://www.cdc.gov/flu-burden/php/data-vis/2023-2024.html#:~:text=The%20overall%20burden%20of%20influenza,and%2028%2C000%20flu%2Drelated%20deaths) and divided estimated hospitalizations by estimated infections for each age group —- this ends up being very similar to the table in the CLT Lit Review (Shraddha).
-    - Then computed the rate-adjusted proportion using formula given in mathematical formulation.
-    - Note: not sure if CDC methodology includes asymptomatic infections, and how much that affects our parameter value estimates — because `IS_to_H_adjusted_prop` is NOT the same as IHR because we are not considering asymptomatic people.
-- `H_to_D_adjusted_prop` — for the non-rate-adjusted proportion, used [2023-2024 CDC estimates](https://www.cdc.gov/flu-burden/php/data-vis/2023-2024.html#:~:text=The%20overall%20burden%20of%20influenza,and%2028%2C000%20flu%2Drelated%20deaths) and used estimated deaths divided by estimated hospitalizations -— replaced Jose’s write-up for simplicity.
-    - Again, computed the rate-adjusted proportion using formula given in mathematical formulation.
-- `inf_induced_saturation`, `vax_induced_saturation` -- Anass Analysis 2025
-- `inf_induced_inf_risk_reduce`, `vax_induced_inf_risk_reduce` -- Anass Analysis 2025
-- `inf_induced_hosp_risk_reduce` -- Anass Analysis 08/09/2025, analysis in PDF posted in Slack: (the values of k/(k-1) equal) "6.81 for H1N1 and 9.09 for H3N2" -- according to the [CDC](https://www.cdc.gov/flu/whats-new/flu-summary-2023-2024.html) H1N1 was dominant in 2023-2024 so we'll use the first one -- solving for k, that means the risk reduction is 0.87 roughly.
-
-## Parameters that need to be changed or fit
-- `mobility_modifier` -- need to be replaced by mobility data-driven estimates
-- `beta_baseline` -- we are trying to fit this parameter. B&B 2025 list their calibrated value as `0.0493`
-- `R_to_S_rate` -- CLT Lit Review (Oluwasegun) -- will probably have to wiggle this for our new population-level immunity equations -- also, based on very preliminary calibration, it seems like this rate is too fast for sensible results
-- `inf_induced_immune_wane`, `vax_induced_immune_wane` -- CLT Lit Review (Linda, but had group discussion, and ended up using similar B&B 2025 values) -- specifically for infection-induced immunity waning, LP is suspicious because we only have literature on the half-life of antibodies, but that is not the same as half-life of protection against infection... may want to consider fitting these parameters.
-- `vax_induced_hosp_risk_reduce` -- currently set to be same as `inf_induced_inf_risk_reduce` -- in the previous draft of the immunoSEIRS burden averted paper, there were no references for vaccination-induced protection against hospitalization -- Lauren says that Kaiming has new references -- someone should follow-up on this.
-
-## Unused parameters
-These parameters are not being included, at least in the first pass (simpler model for attempted calibration).
-- `humidity_impact` -- currently set to 0.
-- `school_contact_matrix`, `work_contact_matrix` -- currently set to zero-matrices, so that we are not considering weekend or holiday seasonality (the force of infection includes the total contact matrix every day in the simulation)
-- `relative_suscept` -- set to all 1s, so not in effect currently.
-- `inf_induced_death_risk_reduce`, `vax_induced_death_risk_reduce` -- 08/05/2025 meeting with Remy and Lauren -- Lauren said we are not including protection against death, so we set these to 0.
-
-# `init_vals.json`
-
-## Fixed parameters
-- `S` -- Texas population estimates from ACS 2023 1-year -- can also be taken from data source described in `README.md` in `derived_inputs_computation` folder.
-- `R`, `D` -- starting off with zero-matrices.
-
-## Parameters that need to be changed or fit
-- `E`, `IP`, `IS`, `IA`, `H` -- B&B 2025
-	- `E` for each age-risk group is simply set to 10, and the 3 infected compartments and `H` for each age-risk group are set to 1
-	- City-level models should adjust these initial values based on population counts in their city.
-
-# `mixing_params.json`
-
-## Parameters that need to be changed or fit
-- `num_locations` -- aka number of subpopulations -- this depends on the city
-- `travel_proportions` -- need to be replaced by mobility data-driven estimates
\ No newline at end of file
diff --git a/flu_instances/examples/flu_demo_2popAustin.ipynb b/flu_instances/examples/flu_demo_2popAustin.ipynb
new file mode 100644
index 0000000..c8b57f1
--- /dev/null
+++ b/flu_instances/examples/flu_demo_2popAustin.ipynb
@@ -0,0 +1,730 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "42ab1932-d72e-45f2-b27e-c628c62d08a1",
+   "metadata": {},
+   "source": [
+    "# Overview"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5884588d-2b40-45ff-adcd-94dfd0fc0463",
+   "metadata": {},
+   "source": [
+    "Simple demo with flu model with \"toy\" (not necessarily realistic or finalized) parameters\n",
+    "\n",
+    "We go over\n",
+    "- How to set up subpopulation models and metapopulation models.\n",
+    "- How to run accept-reject algorithm.\n",
+    "- How to run experiments to organize output of multiple replications. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "01e5a95f-6833-4723-b369-e03eb1f64025",
+   "metadata": {},
+   "source": [
+    "# Imports"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "id": "8948cfc7-d6fa-45b3-b98d-c7f81379ceec",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Misc: suppress SSE4.2 deprecation warnings\n",
+    "# This is not an error, just a warning about future hardware compatibility (not relevant in general)\n",
+    "import os\n",
+    "os.environ[\"MKL_DEBUG_CPU_TYPE\"] = \"5\" \n",
+    "\n",
+    "from pathlib import Path\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "\n",
+    "# Import city-level transmission base components module\n",
+    "import clt_toolkit as clt\n",
+    "\n",
+    "# Import flu model module, which contains customized subclasses\n",
+    "import flu_core as flu\n",
+    "\n",
+    "# Import immunity module, which contains some nice graphing functions\n",
+    "#import toy_immunity_core as imm\n",
+    "\n",
+    "import json"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "71a20de2-2c0a-4d20-bcf6-af57f2a8a30f",
+   "metadata": {},
+   "source": [
+    "# Reading Input Files"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "id": "00b59007-7bde-4453-b6bd-943e7ad2e6b8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Note that this can be cumbersome due to the complexity of the model \n",
+    "# Users may prefer to create the model inputs or even the models themselves in a separate .py file and import them! \n",
+    "\n",
+    "# Obtain path to folder with JSON input files\n",
+    "#base_path = clt.utils.PROJECT_ROOT / \"flu_instances\" / \"austin_input_files_2023_2024\"\n",
+    "base_path = clt.utils.PROJECT_ROOT / \"flu_instances\" / \"austin_input_files_2024_2025\"\n",
+    "\n",
+    "# Get filepaths for east subpopulation\n",
+    "east_compartments_epi_metrics_init_vals_filepath = base_path / \"init_vals_East.json\"\n",
+    "\n",
+    "# Read in files as dictionaries and dataframes for east subpopulation\n",
+    "# Note that we can also create these dictionaries directly\n",
+    "#   rather than reading from a predefined input data file.\n",
+    "east_state = clt.make_dataclass_from_json(east_compartments_epi_metrics_init_vals_filepath,\n",
+    "                                     flu.FluSubpopState)\n",
+    "east_vaccines_df = pd.read_csv(base_path / \"daily_vaccines_East.csv\", index_col=0)\n",
+    "east_calendar_df = pd.read_csv(base_path / \"school_work_calendar_austin_East.csv\", index_col=0)\n",
+    "\n",
+    "# Get filepaths for west subpopulation\n",
+    "west_compartments_epi_metrics_init_vals_filepath = base_path / \"init_vals_West.json\"\n",
+    "\n",
+    "# Read in files as dictionaries and dataframes for west subpopulation\n",
+    "# Note that we can also create these dictionaries directly\n",
+    "#   rather than reading from a predefined input data file.\n",
+    "west_state = clt.make_dataclass_from_json(west_compartments_epi_metrics_init_vals_filepath,\n",
+    "                                     flu.FluSubpopState)\n",
+    "west_vaccines_df = pd.read_csv(base_path / \"daily_vaccines_West.csv\", index_col=0)\n",
+    "west_calendar_df = pd.read_csv(base_path / \"school_work_calendar_austin_West.csv\", index_col=0)\n",
+    "\n",
+    "# Get filepaths for files shared across subpopulations\n",
+    "subpop_params_filepath = base_path / \"common_subpop_params.json\"\n",
+    "mixing_params_filepath = base_path / \"mixing_params.json\"\n",
+    "simulation_settings_filepath = base_path / \"simulation_settings.json\"\n",
+    "\n",
+    "humidity_df = pd.read_csv(base_path / \"absolute_humidity_austin.csv\", index_col=0)\n",
+    "mobility_modifier_df = pd.read_csv(base_path / \"mobility_modifier.csv\", index_col=0)\n",
+    "\n",
+    "# Read in files as dictionaries and dataframes for files shared across subpopulations\n",
+    "# Note that we can also create these dictionaries directly\n",
+    "#   rather than reading from a predefined input data file.\n",
+    "params = clt.make_dataclass_from_json(subpop_params_filepath, flu.FluSubpopParams)\n",
+    "mixing_params = clt.make_dataclass_from_json(mixing_params_filepath, flu.FluMixingParams)\n",
+    "settings = clt.make_dataclass_from_json(simulation_settings_filepath, flu.SimulationSettings)\n",
+    "\n",
+    "# Set the schedules for each subpopulation\n",
+    "east_schedules_info = flu.FluSubpopSchedules(absolute_humidity=humidity_df,\n",
+    "                                        flu_contact_matrix=east_calendar_df,\n",
+    "                                        daily_vaccines=east_vaccines_df,\n",
+    "                                        mobility_modifier=mobility_modifier_df)\n",
+    "west_schedules_info = flu.FluSubpopSchedules(absolute_humidity=humidity_df,\n",
+    "                                        flu_contact_matrix=west_calendar_df,\n",
+    "                                        daily_vaccines=west_vaccines_df,\n",
+    "                                        mobility_modifier=mobility_modifier_df)\n",
+    "\n",
+    "# Create two independent bit generators\n",
+    "bit_generator = np.random.MT19937(88888)\n",
+    "jumped_bit_generator = bit_generator.jumped(1)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d1ab0b6c-6e75-4473-9e86-dac59e2d44fe",
+   "metadata": {},
+   "source": [
+    "# Creating Subpopulation Models"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "id": "9b601dd8-4d09-4bbb-a1e9-3b7d689b48fe",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/susan/Pycharm/CLT_BaseModel/flu_core/flu_components.py:497: UserWarning: Vaccine immunity reset date is set as 07/30. \n",
+      "Initial vaccine-induced immunity value is being adjusted by resetting immunity to 0 at that date, and by taking into account vaccines administered after this date, and before simulation start date.\n",
+      "  warnings.warn(msg)\n",
+      "/Users/susan/Pycharm/CLT_BaseModel/flu_core/flu_components.py:497: UserWarning: Vaccine immunity reset date is set as 07/30. \n",
+      "Initial vaccine-induced immunity value is being adjusted by resetting immunity to 0 at that date, and by taking into account vaccines administered after this date, and before simulation start date.\n",
+      "  warnings.warn(msg)\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Create two subpopulation models, one for the east\n",
+    "#   side of the city and one for the west side of the city\n",
+    "# In this case, these two (toy) subpopulations have the\n",
+    "#   same demographics, initial compartment and epi metric values,\n",
+    "#   fixed parameters, and school-work calendar.\n",
+    "# If we wanted the \"east\" subpopulation and \"west\"\n",
+    "#   subpopulation to have different aforementioned values,\n",
+    "#   we could read in two separate sets of files -- one\n",
+    "#   for each subpopulation.\n",
+    "east = flu.FluSubpopModel(east_state,\n",
+    "                           params,\n",
+    "                           settings,\n",
+    "                           np.random.Generator(bit_generator),\n",
+    "                           east_schedules_info,\n",
+    "                           name=\"east\")\n",
+    "\n",
+    "west = flu.FluSubpopModel(west_state,\n",
+    "                           params,\n",
+    "                           settings,\n",
+    "                           np.random.Generator(jumped_bit_generator),\n",
+    "                           west_schedules_info,\n",
+    "                           name=\"west\")\n",
+    "\n",
+    "# If a metapopulation model has N subpopulations that have most of their parameters in common,\n",
+    "#    users can make a JSON file with common parameters, and N smaller JSON files with\n",
+    "#    parameters that are specific to each subpopulation.\n",
+    "# We recommend using `clt_toolkit / utils` functions `updated_dataclass()` and `updated_dict()` for this."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "id": "ff3d3a32",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "489273.0\n",
+      "677575.0\n"
+     ]
+    }
+   ],
+   "source": [
+    "## Determine the total number of individuals in each subpopulation to compute per capita statistics\n",
+    "NumIndiv_east = np.sum(east.params.total_pop_age_risk)\n",
+    "NumIndiv_west = np.sum(west.params.total_pop_age_risk)\n",
+    "print (NumIndiv_east)\n",
+    "print (NumIndiv_west)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9a4aabdc-9883-4e45-a371-199b7145de25",
+   "metadata": {},
+   "source": [
+    "# Modifying Parameters"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "id": "a78193bf-7989-4779-91ab-5772771f7375",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.045\n",
+      "0.045\n"
+     ]
+    }
+   ],
+   "source": [
+    "# We can also manually change a fixed parameter value\n",
+    "#   after we have created a SubpopModel -- like so...\n",
+    "east.params = clt.updated_dataclass(east.params, {\"beta_baseline\": 0.045})\n",
+    "west.params = clt.updated_dataclass(west.params, {\"beta_baseline\": 0.045})\n",
+    "\n",
+    "# The structure of the code allows us to access\n",
+    "#   the current state and fixed parameters of each\n",
+    "#   subpopulation model.\n",
+    "# For example, here we print out the fixed parameter value for beta_baseline\n",
+    "print(east.params.beta_baseline)\n",
+    "print(west.params.beta_baseline)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "id": "2db0f383",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Now have subpopulation specific estimates for IHR which we set here.  In common_subpop_parms is IHR for Austin overall\n",
+    "#print(west.params.IP_to_ISH_prop)\n",
+    "#east.params = clt.updated_dataclass(east.params, {\"IP_to_ISH_prop\": [[0.0070],[0.0027],[0.0050],[0.0089],[0.0766]]})\n",
+    "#west.params = clt.updated_dataclass(west.params, {\"IP_to_ISH_prop\": [[0.0068],[0.0027],[0.0049],[0.0088],[0.0769]]})\n",
+    "#print(west.params.IP_to_ISH_prop)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "eef0842e-bab0-4be0-a65a-9f48b7e6cfa9",
+   "metadata": {},
+   "source": [
+    "# Create Metapopulation Model"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "id": "f44aa524-3dc7-4010-9863-f0fc5b89585e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Combine two subpopulations into one metapopulation model (travel model)\n",
+    "flu_demo_model = flu.FluMetapopModel([east, west],\n",
+    "                                     mixing_params)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f7a1c0e4-76e4-4d89-ab43-a8d67776cbec",
+   "metadata": {},
+   "source": [
+    "# Simulation and Analysis"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "id": "b3aa79bb-11df-47fc-b581-70849b26ca1a",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0 2024-09-15\n",
+      "211 2025-04-14\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Get the current real date of the simulation and the\n",
+    "#   current simulation day\n",
+    "print(flu_demo_model.current_simulation_day, flu_demo_model.current_real_date)\n",
+    "\n",
+    "# Simulate for a given number of days\n",
+    "flu_demo_model.simulate_until_day(211)\n",
+    "\n",
+    "# Get the current real date of the simulation and the\n",
+    "#   current simulation day\n",
+    "print(flu_demo_model.current_simulation_day, flu_demo_model.current_real_date)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "id": "5c0e8cf6-8f53-485f-9bcd-84da258d8fc6",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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+      "text/plain": [
+       "<Figure size 1000x400 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Generate simple compartment history plot for flu model\n",
+    "clt.plot_metapop_basic_compartment_history(flu_demo_model)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "id": "a63278ef",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1000x400 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "clt.plot_metapop_total_infected(flu_demo_model)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "id": "97e9edf4",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x400 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "clt.plot_metapop_TransitionVariable(flu_demo_model)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "id": "41c5c693",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x400 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "clt.plot_metapop_total_deaths(flu_demo_model)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "id": "44a27269",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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td+z+LYFekmfZzhwZlxK3EtmyGkvu1Tz3LODYau250hAmIr1hS9NGx13xAxGRk2B8JodXnq8l2nIR/MxSaokp0T21TS6C+4XY6ygdh/RdkU3ibNM4LVPJJPlW20ktXqsGcg1bztaGJ3to1QDmyj15Hbnvjp95nByT7k4q85ZRZ3v83I6SEvMHHnhA7S9YsKATj4qoEwL6iY3Aic1aUDKThmaxfYG4/kB0L175bcvIePzAxgAvpegy9/20bJlA6Qnt/EpgNwd3Kf2T0QgJ6pHdtADvKhUD5JYYn4k6gfQZOblZi8syMmvhAUR2bYjLvbVpXEwGz0/Okczzlk0+15hJo1XzxXJzI1jp92IeEc/e0Ph5yFyxJvFaEnJHnD5HzfDTVCeQedUdKfO2p0mTJkGv16tjnzhxor0Ph9ydNCqRYC4BRQKNmQSWhEFAfIYW2DknueMBXnU9jwIShzSec3MCLmWB0uhGurY2nR8u64tLQDdXFUiZGz9QkRNhfCa6gDnaMp3rxCagYJ+2Oof6n0qnjWTHDQDi+mnNPKlzyHzumF7a1vSCh6pcy2psSieVawV7tM38nsh8cEvlWldt9RVyKEy63ZROp8O+ffss+0R2mw+W+bOWbJs7jktzkZg+QNIwILYfR1qtReaIyRxx8zxxtZxLjpaASzOc4sNaSX/hPm07c+68fOiSDvBMwok6FeMz2ZU06pS4LMl205VAZGQ1eYRWQcWEznbUCithWjWBecUWKUeXWG3epKGqOSE/slKrQJCL5OYpeJKIc1643THpdmMhIZxrQ3Ygpc6S1GX+pF1FN189lwSuy2ggcSjngdmDzOWWIC1b2sVNusQfbOgSf1hr0Cbz+GQTUhonF0ik3F+Cu+rwSkQXivGZbEr+3svfekm2pSmaOS7LHO3k4UDS8NZX2CDbkoo/c5O19Esbpo+dakzAJVZL4zYZHZftyAptMEOmi0kCLhfNpSyd5eg252GSTlrUTFlZGUJDQ1FaWnpW4KupqUFmZqZa09rPjx8weW6ozeRPjZSoHVzevIQ8qqeW5Mm8Jo6aOvh66FlaAi4fzqQsvWmnWilvk6vpqjSuj9ZBnu+nTeKSO2F87jh+fqGzGOq1HipHfwIq8hofl7/hEpflgir/jjsfKUmX5Nt80fzMFV9kNRPp3yKfv6RqTRJ4vs9Wj88c6SYi6yfbcuX80Lda0mbuPi5XzyWoSxdOco6r6+ZO6T0maHPCpWKhYK92MUW6rUq3edn2/Q/wC9Ua68Q2jISztI2IyHHma2etAw7/oDXqMvfwMMdlaYhGzkvK0ZOGapuoLNZis/mieW2ZlpTLduArbeqY6jrfMJ9c4jd1OibdRGTdZFtGts3Liuh8gNQxQPplLCF3dpJES0Itm6go1OZ+SwIugV0+yGWv1za5qi5X1KXpjoygyAcCIiKyLblYevwXreRY5gELSbAkJqeMBLz9+Y64osBIbZP3WD6bVUq8PgAUyXZImzrWdCUTWYZVJeG9tQo2rmLSKZh0E1HnkyUv9n6mXUU1X0GXZLvrZex06qpkvp9sMkoioyjy3ssouFx4keXKmnZalVK22P7alIKQBJa1ERFZu4z8+Brg0Pdag0xzT45u47XmaJzf6z6kjFwqGWRLG6tNHZMGbLJqiVw0l+VEpVGbbNKUTQZLZAnRmN5ATF8teacOYdJNRJ07j+jA10D2Rq0Ri4xwpl0CdL0c8A3imXYX8gFOBejeQN8bgfI8IH+31jhP5vOrNUiztLI2/4jG9dclsHNZOCKiziGjmrnbgX1falOAREAk0H2C1rSUI5gkMVeWZJWt11VaBYSUoBfI8qH7tPtqGtleAB8DQXFazJZNOtpLE1ZqEybdRHTh6vXaFVEpWTPotcdkPeheVwMBETzD7n5VPSRe27pfoZWd58sI+G6tvE0avBxbrW2yLrssEydL0khpG0dfiIg6RjpZ7/1cG8UUsp52zyu1kW1e3KTWyO+JfH6TzbyKiXnqmPxOScM92eTznsRs8wi4zAWXdcbJsZPuBQsW4IUXXkBeXh4GDhyIV199FcOHD2/xuZ988gmeeeYZHD58GHV1dejevTt+//vf44477rA8Z+bMmXjrrbeafd/EiROxfPlyq/9biNyO/CHe9aFWQizkymff67XOmERnkvmDXUZpm1yskTllebu1JFzKHqWTrmxeftr8b0nA5dbLh+eSiOh8qk8Dez5tXNpRyoOl2kw2NrSk9l40D03UNpmKoK/SEnC5cC6f/WQu+Mkt2iZrg8v8b+nzIkm4NMllR3THSrqXLVuGRx55BAsXLsSIESPw8ssvqwT5wIEDiIk5u3tiREQE/vznP6NXr17w8fHBl19+iVmzZqnnyveZTZo0CYsXL7bc9/X1tdm/icgtSMmRBHb1x7ZhPU9JtuMz+IeW2kYSaSkrl81o1K6iSylk3k5tRNzc2EW63ceaE/C+XA+ciOhM8jc08yfgwDeAoVZLgqRxVo9JbF5JncMnoHEUXH7fZOlQc++W8lzg1BFtkxVMZOqYNE+NGwBEdGUZuiMk3S+99BJmz56tEmchyfdXX32FRYsW4bHHHjvr+Zdeemmz+w899JAa1V6zZk2zpFuS7Lg4LkVE1Omk3Ch7g1a2VlelBXZpniVzgXgVnTpK5oVFddO2flO0kkgZqZFNStDN+9InQJY1kQRcStHlQwARkTs7lalVnEnzK3PFWf9faSOURNaK2ea54L2vAapOacm3bLI8mcTtzJ+1TZYki+2jXWB34yVE7Zp06/V6bNmyBXPmzLE85unpifHjx2PdunXn/X6TyYSVK1eqUfHnnnuu2ddWrVqlRr/Dw8Nx+eWX4+mnn0ZkJDvuEV0Q+aO6/X3tD6oISQIGTtW6URN1FilJM68J3uc6rZuqOemuLNBK0WXz8NQCeMJgLZh7+/E9cODpYU0tXboUt9xyC6677jp89tlnNjlWIpcj5b4yqihrbkvzUklu+lyrzdtmaS/ZkvTvkW7ossnSdNKzRTVQ3a2VoZ/YpG1SuSY9W2QEXJqxuVGTXbsm3UVFRTAYDIiNjW32uNzfv39/q99XWlqKxMRE1NbWQqfT4bXXXsMVV1zRrLT8xhtvRFpaGo4cOYI//elPmDx5skrk5flnkteRzaysrKzT/o1ELuPEFu1Ken21Nkes52Qg7VKWDJF1yQfHsGRtk2oK6YQuJeiSgEs5m7mrqoyAy9xvKXvjHHCHnB5mduzYMTz66KMYO3asbQ6UyBXJnNod/9Wm4ghJtGXEURphEdmTjGTHD9A289SxvJ3aCiYyAm6+cC6VkjJSLhfNZRlRF1+OzCn7vAcHB2P79u3YtGkT/va3v6mgLyPbZtOmTcO1116L/v374/rrr1fzvuW5TZ/T1Pz58xEaGmrZkpOT4YqkwZyHhwd+85vfnPW1+++/X31NnnPNNdeoCxctWb16tXrezp07bXDE5DBX0re8BWx7W0u4pUHaxX/UmrJwqQiyRyd0ueBz6WPApX8CekwGAmMAY70W1LcsBr77C7D1He0Ku6xPS1afHtanTx+VfAcEBKjpYa2RC+233XYbnnzySaSnp/OdacD4TG0mo4g7PwA2LNQS7sBoYNSDQMatTLjJcaeO9bsRGDdX+/wocVsqJaU6o/iw1h9o5V+Bn57XehJIdZtMZXQxdh3pjoqKUiPP+fn5zR6X++eajy0l6N26dVP7GRkZ2Ldvn0qcz5zvbSaBXX6WdDwfN27cWV+X8nZJ3JuOdLtq4i3/Linr+3//7//B399fPVZTU4P3338fKSlaifBdd92FKVOm4MSJE0hKkv8pGklzuqFDh2LAgAF2OX6yscKDwPb3gJoSrZRXGrJ0u4LJNjmG4Fig5ySgx0RtWRNpunZyq3Yl/eRmbZMlTaSMLXEwENmdv7t2nh7217/+VY2CS5yRi7jn406VaIzPdF7FR7SYbF4tJHWsNrrtpnNkyYm7ofecpE1ZlNFv2aQBm/QkkO3gcm09eendIs15ZQqjC0yXsOtIt3QfHzJkCFasWGF5zGg0qvujRo1q8+vI9zQNymeS5LG4uBjx8fEtfl2aroWEhDTbXNXgwYNVYJel18xkXxLuQYMGqftXX301oqOjsWTJkmbfW1FRgQ8//FB9WCIXJ+VA+74E1i/QEm65kn7Rw1pyw9FtctRALh8+5Uq6/K6mXQL4hmjN/rLXA+tfA75/HNj1kfbB1QWvojvK9DCZ390SaXj6n//8B2+88Uabf467VKIJxmdqldEA7P0C+OVVLeGW1UJG3g/0v4kJNzn3PPD0S4DRDwATngYybtdKzWXet/yeH1kJrHkJWPEksPsTrUzdiWO33buXywjzjBkz1OipNF+ROWGVlZWWbubTp09X87cl8Aq5led27dpVJdpff/013nnnHbz++uuWxFDK1mSkVkbLZU73H//4RzUy3rS7eaeSXwCDHjYn82o7cOXnzjvvVCPWUuInpBRQzre5/N7Ly0udd0m6ZXk2KScXknDLhyxpfkMuvhTY1reBooPa/ZTR2lJgvJJOTteE7XotSKulx7Zr64AfW61t8qFV5n8nDQVCEux91C6vvLwcd9xxh0q4pfKsrS64Eo3xmZydjAZufUtb0cE8d7vvDYC3Vq1I5BJ8AoHkYdomUyikZ4H0b5E1wWXteVkOTza5mK5GwAc63VJkdk+6p06disLCQsydO1ddHZdy8eXLl1uunmdlZamSNTNJyO+77z41ei3l0bJe97vvvqteR0i5usw3lmXESkpKkJCQgAkTJuCpp56y3lrdknB/80fY3OTnO5QI3X777eqDzPHjx9X9tWvXqpLzpnPeJTGXjrQ//fSTpWxfEnW5mCGjDeTCy45sWaKNbstFnYHTtMSEyBWWIZMLSTnbtCZs8jt+ZIW2BScASQ1rj/qH2/uonUJ7p4fJBXBpoCY9Q5pWqZkv9ErzNbmYfiaJ2xcUuxmfyZlJXwopJ5eKHZkqIzFZkg0iV+blCyRkaJuhDijcr8Vt+f+htqzx4rlPkDZ9TP6fiJLpY2c3y3Ykdk+6xQMPPKC2lpzZ/EyW/pKtNZKIf/vtt51+jK5ESsevuuoqNZIty67J/pkjD3IxY/To0WoUXJJumQ8v8+9kPh65IBkNOrZGa2ZhMmiNqYbeqTWtInIFEoxjemubrF8rHc9PbNZuy3OAfbJ9qXVSTRqmBXKuAd6m6WHSsLTp9LCW4rnElF27djV77C9/+YsaAf/HP/7h0mXj7cH4TJZy8v1fauW1Qua0DpmlleMSuROdt1ZyLps0RpWL5yoB36VVr2X9om2qf0v/hgS8J6BziBS3Gcc7ImckI4Iy6myPn9tBMpJt/mAk66y2ROZuP/jgg+rrMsotoxCXXHJJh38mOSi5irhjqdZ0SsgfrIG3cs1jcu0gbi5Pk+78UsImCbg0cpFOqrLJ8niyhmjiUG0JMgcM4M40PczPzw/9+vVr9v1hYWHq9szHOxXjMzkbKaWVijNzOXn6pUCva/g3iEjnBcT20TbjzVqslgRcNknAszdom5cfENtPW7JMxW9vhzh3/BTRWXMInWy+qywJJt1nZb52a3Pdb775Zjz00EOqs/nbb7+Ne++91zK/m1xo/vamN7XgLt3Je1+rBXi+z+QuZDS7y2htk7mT0v38xCagIq8xmMsVdOmgKvO/I9L5/0cHp4fZBeMzORPpQbF5kRabVTn5LVriQERnV69F99S2fjdp/+/IBXRZOlSW0jOvYKLz1S6gS6m6nRNwJt1uSubiyVJr5v2WBAUFqQ9VMv9bmtfIOqLkQsrzgA3/0pZXkuAupWvRPex9VET2I6Wb3ccD3cZpy5ac3KJtEsDNJWwy51tGv2X+N6dftGt62JnOXCGDNIzPbiprvbb+tkzxCkkEht4FBEba+6iInK9/y+ljWgIuF82lckQ1U91q9wScSbcba8vSaFJiLku8XHnllaopHbmIwgPa1fT6GiAgChh+j7bmMRE1LEGWpG1S1iklbHLF3BzAD3+vbSFJWqfVhMGAn+suNUm2x/jsRqSh4N7PtM7MQqa9ZNzmdBWURA65gknJcW31EknCW0rAM261WfLtYZJOWtSMjOpKh+7S0tKzAl9NTQ0yMzORlpam5qgRz43TObYW2P0RYDJqyy1IwzTfIHsfFZFz9D+Q5i0y+i0N2OT/ISFTM6J7a+Xn0sjFCgH8XHHJnTA+dxw/vzggfSWw5S2g6IB2v8dkoMdETmEh6myS7p6ZgAfFAZfNsVl85kg3kTv9wdn/lTZCJ6RD84BpbM5C1FaSTCcO1rbaCm35sRMbgZIsoGCPtnn5AwmDOP+biM6tsgjYsBCoLNRG3QbdxuXAiKw5Ah6eqm19rtMS8Loa2BKTbiJ3KV+TbswyJ1X0vBLoPoFX04k6SqpD0sZqW3m+1nxNNln/2zz/OyASSBrOkSsiak4u1ElPFem47B8BDLsbCE3kWSKyZQJuY0y6iVydrGu47R2tnAYewICbtU7NRNQ5pB9C76uBXlcBxUe00W8pYasq1uaDe0zimSYiTf5ebUkwQ63WF2LEr9kTgsgNMOkmcmX1tVrDtML9gIcOGHyHVvpKRNa5em7poHqTNv+b/RKIyCxrA7BzqdYPIrqXtmqIN/sDEbkDJt1ErtygZeO/taUTdD7a8iMxvex9VETuwcsHSBpi76MgIkfpqXLoO+DA19p99lQhcjtMujvIKHNkqRk2wncgteXAuteA8hxtDW5ZEkyWTyAicnGMzzwvDpdw7/4YOLZau9/tCm0qilTGEJHbYNLdTj4+PvD09EROTg6io6PVfQ/+4VQJd2FhoToX3t62XWyeWkq4FwDluYBvMDDyfiAknqeJiFwa43Pr8Vmv16sYLZ9f5DyRjcgAzc5lQPZ6radKvyla80UicjtMuttJApas0Z2bm6sSb2okCXdSUhJ0Oh1Pi91HuCXhDgFGPwgExfD9ICKXx/h8bgEBAUhJSVHniWzAaAC2vwec3KIl3INu15YSJCK3xKS7A+QqsQSu+vp6GAyGzn9XnJSMcDPhtiNZN3j961pJORNuInJDjM8tk9js5eXFyjxbrhqy9S0gbyfg4QkMngEkZNjsxxOR42HS3UHmMmqWUpPDNE1b/xpQdlIrKecINxG5KcZnsitDHbDpP0DhPsDTCxh6JxDbl28KkZtj0k3kCgm3zOE2J9yjWFJORERkc/V6YNMbQNFBbdWQYbOB6B58I4iISTeR06/DveFfzRPu4Fh7HxUREZEbjnC/qSXcXn7aqiGRXe19VETkIDjSTeTMc8akhK3kOOAdCIx6gAk3ERGRPeLx5sVA0QFA5wuM+DUQkc73gYgs2MKSyFmXIdn2dvMAHxxn76MiIiJyvy7l0jStYA/g6a2NcDPhJqIzMOkmcjYmE7DrQyB3h9akZdjdQHgXex8VERGRG14Af0frUm6Ox1Hd7H1UROSAmHQTOZv9XwJZv2jrfg6eziYtRERE9ki4d7wP5GwDPHRal/KYXnwfiKhFTLqJnMmRlcDhH7T9gdOA+IH2PiIiIiL3qzjb8wlwYpO2DveQGVwWjIjOiUk3kbM4uRXY+7m23/taIGWkvY+IiIjI/Rz8Fji2Wqs4G3Q7L4AT0Xkx6SZyBqeOAtvf0/bTLgG6jbP3EREREbmfY2uBg99o+/1uBBKH2PuIiMgJMOkmcnQVhcDGNwFjPRDXH+hzvb2PiIiIyP3kbNcamYruE4G0i+19RETkJJh0EzkyfSWw8V9AXSUQlgIMmg548n9bIiIimyo6pHUqhwlIGQ30nMw3gIjajJ/eiRyVoQ7Y9CZQWQj4RwDDZgNePvY+KiIiIvdSekKLx6ribADQ/1eAh4e9j4qInAiTbiJH7Yy6/X1tLreXPzDi14BfiL2PioiIyL1UnQI2LATqa4DIbtpSnaw4I6J2YtJN5KidUXO2akuRyNqfwXH2PiIiIiL3UlcNbPw3UFsOBCcAw+4GdN72PioickJMuokcTe7Oxs6oA6YC0T3sfURERETuxWgANi8GynMB3xBgxD2At7+9j4qInBSTbiJHUpYLbHtX25euqFyLm4iIyPZTvHZ9BBQdAHQ+wPDZgH843wUi6jAm3USO1Kl80xuAoRaI6sGlwYiIiOzhyEog6xcAHtocblk9hIjI2ZPuBQsWIDU1FX5+fhgxYgQ2btzY6nM/+eQTDB06FGFhYQgMDERGRgbeeUeWcGhkMpkwd+5cxMfHw9/fH+PHj8ehQ4ds8C8h6iCjEdjyFlBVDAREAkNmAp46nk4iIiJbyt0B7Puftt/3eiCuP88/ETl/0r1s2TI88sgjmDdvHrZu3YqBAwdi4sSJKCgoaPH5ERER+POf/4x169Zh586dmDVrltq+/fZby3Oef/55vPLKK1i4cCE2bNigknN5zZqaGhv+y4jaYd/njWVsQ+8CfAJ5+oiIiGypJAvY2rAWd+pYIO0Snn8i6hQeJhkWtiMZ2R42bBj++c9/qvtGoxHJycl48MEH8dhjj7XpNQYPHoyrrroKTz31lBrlTkhIwO9//3s8+uij6uulpaWIjY3FkiVLMG3atPO+XllZGUJDQ9X3hYRwmSaysuxNwPaGedxDZgEJGTzlRMS4xPhMtlRTCqz+u3Yb0wcYNptLgxFRp+WNdh3p1uv12LJliyr/thyQp6e6LyPZ5yMJ9ooVK3DgwAFcfPHF6rHMzEzk5eU1e005EZLct+U1iWyq9CSwc5m2330iE24iIiJbM9QDmxdpCXdQHDB4BhNuIupUXrCjoqIiGAwGNQrdlNzfv39/q98nVxISExNRW1sLnU6H1157DVdccYX6miTc5tc48zXNXzuTvI5sTa9YENlk/c8tiwFjnXZVvedknnQiIiKbdyr/EDh9DPAO0Nbi9vbje0BErpN0d1RwcDC2b9+OiooKNdItc8LT09Nx6aWXduj15s+fjyeffLLTj5PonEF++/tAZaG2DMmg2wEPD54wIiIiWzq2Gshe39ipPCia55+IOp1dy8ujoqLUSHV+fn6zx+V+XFxcq98nJejdunVTnctl7vZNN92kEmdh/r72vOacOXPU6Ll5y87O7oR/HdE5HF0F5O0EPHTaPG42TiMiIrKtwoPAnk+1/T7XAjG9+Q4Qkesl3T4+PhgyZIgarTaTRmpyf9SoUW1+Hfkec3l4WlqaSq6bvqaUi0sX89Ze09fXV018b7oRWU3xEWDfF9p+3xuA8C482URERLZUWQxsWQKYjEDiUCD9Mp5/InLd8nIpDZ8xY4Zae3v48OF4+eWXUVlZqZYBE9OnT1fzt80j2XIrz+3atatKtL/++mu1Tvfrr7+uvu7h4YGHH34YTz/9NLp3766S8Mcff1x1NL/++uvt+m8lQm05sPUtLcgnDAZSx/CkEBER2VK9Htj8H6CuEghNBgZO4xQvInLtpHvq1KkoLCzE3LlzVaMzKRlfvny5pRFaVlaWKic3k4T8vvvuw4kTJ+Dv749evXrh3XffVa9j9sc//lE975577kFJSQnGjBmjXtPPj40xyI6MRmDr243dURnkiYiI7NA47QOg7CTgEwQMuwvQefNdICLXXqfbEXGdbrKKA8uBg98AOh9g7O+B4Nb7FhARMS6djfGZLtixtVrS7eEJjLwfiOrGk0pErr1ON5FbzeM+uFzb738zE24iIiJbO30c2POJtt/raibcRGQzTLqJrE1fqZWVwwQkDQOSh/GcExER2VJtBbB5EWCsB+L6A10v5/knIpth0k1kTTJ7Y8dSoKYECIwG+t3E801ERGTrnirb3mmMxRm3sXEaEdkUk24iazr+S+N63IOnA95s5kdERGRTMr2rcD/g6Q0MvRPw9ucbQEQ2xaSbyFrKcoE9n2r7va8GwlJ4romIiGypYB9w6FttX1YNCUng+Scim2PSTWQNhjptPW5jHRDdG0i/jOeZiIjIlqpLgG3vavtdxgBJQ3n+icgumHQTWcOez4DyXMA3GMi4lXPHiIiIbD2PW5qY6iuAkCSg7/U8/0RkN0y6iTpb/l7g+BptX5q1+LW+Zh8RERFZaR73qSOAzhcYMgPQefM0E5HdMOkm6uwlSXa8r+2nXQLE9Ob5JSIisqXCg8Ch77T9AVOBoBiefyKyKybdRJ25PNjOZUBtORAUB/S+hueWiIjIlmrKgG1vS1AGUkYBSUN4/onI7ph0E3WWE5sblgfzBAbdzlI2IiIim6/H/a528Ts4Huh7I88/ETkEJt1EnaHqFLD7I22/55VAWDLPKxERkS0d/gEoOgDofIAhMwEvH55/InIITLqJOqOsfPt7QH0NEJ4GdB3Hc0pERGRLpzKBg99o+/1uAoLjeP6JyGEw6Sa6UEd/BIoPax1Spazck/9bERER2UxdDbDtHcBkBBIGA8nDefKJyKF0KDt45513cNFFFyEhIQHHjx9Xj7388sv4/PPPO/v4iBxbWS6w/yttv+8NQGCUvY+IiOicGMPJ5ez+GKgqBvwjgP6/Ajw87H1EREQXlnS//vrreOSRR3DllVeipKQEBoNBPR4WFqYSbyK3YTRoZeXGeiC2H5Ay0t5HRER0Tozh5HJObgVObATgoVWb+QTY+4iIiC486X711Vfxxhtv4M9//jN0Op3l8aFDh2LXrl3tfTki53V4BVCaDXgHAANu5pV1InJ4nR3DFyxYgNTUVPj5+WHEiBHYuFGSn5Z98skn6ufIRfrAwEBkZGSoUXeiC2piuvMDbb/7FUBkV55MInKNpDszMxODBg0663FfX19UVlZ21nERObayHODgcm2/3xTAL9TeR0REZNMYvmzZMlX5Nm/ePGzduhUDBw7ExIkTUVBQ0OLzIyIiVLK/bt067Ny5E7NmzVLbt99+y3eOOr48WH01ENYF6DGJZ5GIXCfpTktLw/bt2896fPny5ejdu3dnHReR45eVmwxaWXniEHsfERGRzWP4Sy+9hNmzZ6vEuU+fPli4cCECAgKwaNGiFp9/6aWX4oYbblA/p2vXrnjooYcwYMAArFmzhu8etd+RFcCpI1oT08HTAc/Gyg0iIkfj1d5vkKva999/P2pqamAymVQp2X//+1/Mnz8fb775pnWOksjhyspPsKyciJxOZ8VwvV6PLVu2YM6cOZbHPD09MX78eDWSfT7ys1euXIkDBw7gueee6/C/h9zU6ePAga+1/f43sYkpEble0n333XfD398ff/nLX1BVVYVbb71VdTH/xz/+gWnTplnnKIkcRelJlpUTkdPqrBheVFSkGqnGxsY2e1zu79+/v9XvKy0tRWJiImpra9Wc8tdeew1XXHFFq8+X58lmVlZW1uZjJBdeHmzr2w3Lgw0CkobZ+4iIiDo/6Ra33Xab2iRgV1RUICYmpiMvQ+SEZeXvs6yciJyaPWN4cHCwKm+Xn7tixQo18p6enq5Kz1siI/BPPvmkzY6PnMCeT4CqIsAvDOjPJqZE5MJJt5nM3ZKNyC0c/gEoY1k5EbmGC4nhUVFRaqQ6Pz+/2eNyPy4urtXvkxL0bt26qX3pXr5v3z6VWLeWdEv5uiTmTUe6k5OTO3TM5AJydwDZG7TlwWQeN5cHIyJXTbqlCYuHh0erXz969OiFHhOR4ynPAw42dNhlt3IiclKdFcN9fHwwZMgQNVp9/fXXq8eMRqO6/8ADD7T5eOR7mpaPt9RVXTYi1JY3Lg/W9XIuD0ZErp10P/zww83u19XVYdu2barz6R/+8IfOPDYix2AyATv+q5WVx/Rlt3IiclqdGcNlBHrGjBlq7e3hw4fj5ZdfVsuOSTdzMX36dDV/W0ayhdzKc6VzuSTaX3/9tVqn+/XXX+/EfyG5bhxeCugrgJBEoOeV9j4iIiLrJt2yxEdLFixYgM2bN7f35Ygc37E1wOlj2rIk0iX1HKNERESOrDNj+NSpU1FYWIi5c+ciLy9PlYtL8m5urpaVlaXKyc0kIb/vvvtw4sQJ1cytV69eePfdd9XrEJ3TiU1A/m7AQwdk3AboLmh2JBGRzXmYZN2OTiAlaRJwXaGzqPwbQkNDVZfVkJAQex8O2VP1aeDH+YChVisrT7uY7wcRuVxccpYYzvjshqpOAT89B9TXAL2uBrq33u2eiMhR41LjJegL9NFHHyEiIqKzXo7I/uR61M4PtYQ7PBVIHWvvIyIisgrGcHLo6V2ScEsc7jrO3kdERNQh7a7PGTRoULMmLDJQLmVlUmIm620SuYycrUDBHq2cbeAtLCsnIqfHGE5O5dhqoOgg4OkNZNwu7e/tfURERLZJus1dSs1kvlZ0dLRa7kPmZxG5BH0lsPsTbb/7BCC49SVwiIicBWM4OY2KAmDvF9p+n2uBoGh7HxERke2S7nnz5nX8pxE5iz2fal1Sg+OBbuPtfTRERJ2CMZycgtEIbHsXMNYBUT04vYuI3CPpbk9jFTYeI6dXsF/rlAoPYMBUdkklIqfGGE5O58gKoOQ44OUPZNzK6V1E5B5Jd1hYWLN53C2Rud3yHIPB0FnHRmR79bXAzmXaftpYICKN7wIROTXGcHIqpSeBA99o+7JqiH+4vY+IiOiCtSnp/vHHH2FNsj7oCy+8oBqyDRw4EK+++iqGDx/e4nPfeOMNvP3229i9e7e6P2TIEDzzzDPNnj9z5ky89dZbzb5v4sSJav1QonM68DVQfUoL8j2v4skiIqdn7RhO1GkM9VpZuckAxPUHkoby5BKR+yTdl1xyidUOYNmyZXjkkUewcOFCjBgxAi+//LJKkA8cOICYmJiznr9q1SrccsstGD16NPz8/PDcc89hwoQJ2LNnDxITEy3PmzRpEhYvXmy57+vra7V/A7mIkizg6E/afv+bAW8/ex8REdEFs2YMJ+pUB78BynMAnyBtetd5qiyJiFy2kZpZVVUVsrKyoNfrmz0+YMCAdr3OSy+9hNmzZ2PWrFnqviTfX331FRYtWoTHHnvsrOe/9957ze6/+eab+Pjjj7FixQpMnz69WZIdF8eO09SOpi07P5CJEkDCYCC2D08dEbmszorhRJ3mVCZweEXDL+LNgG8wTy4RuW/SLetxS4L8zTcN823O0J453RLst2zZgjlz5jRbgmz8+PFYt25dmz841NXVISIi4qwRcRkpDw8Px+WXX46nn34akZGRLb5GbW2t2jrSdIZcxPE1QGm21rSl7w32PhoiIqvozBhO1GkMdcD297UL30nDgPiBPLlE5FI82/sNDz/8MEpKSrBhwwb4+/uredIyf7p79+744ouG9RTbqKioSAX42NjYZo/LfZnf3Rb/93//h4SEBJWoNy0tl3nfMvot5ec//fQTJk+e3OqHifnz5yM0NNSyJScnt+vfQU6uugTY/5W23/tqwC/E3kdERGQVnRnDiTqNNE6rLNBGt3nhm4hcULtHuleuXInPP/8cQ4cOVaPSXbp0wRVXXKGWCpPk9aqrbNd86tlnn8XSpUvVqLbM7zabNm2aZb9///6qXK5r167qeePGjTvrdWSkXeaVNx3pZuLtZmty19cAYV2ALhfZ+2iIiKzGkWI4kXL6OHBkpbYv87h9AnliiMjltHuku7Ky0tLgTEq3pVTNnNxu3bq1Xa8VFRUFnU6H/Pz8Zo/L/fPNx37xxRdV0v3dd9+ddw5aenq6+lmHDx9u8esy/1s+cDTdyE3k7wVytwMenmzaQkQurzNjOFGndCs3l5UnDtE6lhMRuaB2J909e/ZUncWFLO/1r3/9CydPnlQN0OLj49v1Wj4+PmrJLykDNzMajer+qFGjWv2+559/Hk899ZQqi5Or9edz4sQJFBcXt/v4yMXV64FdH2r7aZcAoY3d74mIXFFnxnCiC3ZwOVCRp3UrlzW5iYhcVLvLyx966CHk5uaq/Xnz5qn509JRXBLoJUuWtPsApKx7xowZKnmWtbZlyTC5Em/uZi4dyWUpMCl7EzJHe+7cuXj//feRmppqmfsdFBSktoqKCjz55JOYMmWKGi0/cuQI/vjHP6Jbt25qKTIii0PfaWty+4UBPSfzxBCRy+vsGE50Qct0HmnSrZxl5UTkwtqcdN900024++67cdttt8GjYd1EGaU+fvw49u/fj5SUFFXC3V5Tp05V5W2SSEsCnZGRoUawzc3VZEkTmXdm9vrrr6uu53I8TcmHhyeeeEKVq+/cuVM1hpFmMdJkTdbxlpFxrtVNFmW5jcG+/02AF9dxJyLXZa0YTtTxsvL/AiYjkDCI3cqJyOV5mEwmU1ueKA3IpBGZJLEyCj1z5kw1V9oVSSM16WJeWlrK+d2uSH7lf3kFOHUUiO0HDJ9t7yMiIrJqXHKVGM747ELdyqW0XMrKL32Ma3ITkdNqa1xq85xumWd99OhR3HXXXXj33XfV8iKy/rWUeTdd45rI4WVv0BJunS/nkBGRW2AMJ4dRekKb3mWuNJNlwoiIXFy7GqnJ0iJSwi3J9/fff6+umM+ePVs1X7n//vuxZcsW6x0pUWeoLQf2NqxF23MSEBDB80pEboExnOzOaNC6lUtZefxArbSciMgNtLm8vDXl5eVqtPtPf/qTGlavr6+Hs2P5mguTOWTZ64GQRGDso0CTfgFERO4Wl5wthjM+O7kDy4GD3wDegVpZuR+XaCUi59bWuNTu7uVNZWZmqm6nsskPGj9+/IW8HJF1ncrUEm7R/1dMuInIrTGGk02VnmxSVj6FCTcRuZV2D/PV1NSoOd0yn1vmdb/99ttqnrcEb+k6TuSQjEZg10fafvJIICLN3kdERGRzjOFkt7LyHVJWbgDi+gMJg/lGEJFbafNI98aNG7Fo0SIsW7ZMBe0bbrhBJdnSEdW8/AiRwzq+Fig7AXgHAL2vtvfREBHZFGM42dWRlVoDNYnB/W8G+LmRiNxMm5PukSNHYuDAgWq9a1nnMzw83LpHRtSZzdP2f6Xt97qKnVKJyO0whpPdlOVqy4OJfiwrJyL31Oake/PmzRg8mOVA5ISkW3l9NRCaBKSMtvfREBHZHGM42W1ql5SVG+uB2H5A4hC+EUTklto8p5sJNzml4iPAiY3aPpunEZGbYgwnuzi6EijJArz8tRjMsnIiclNcL4lc+wr77o+1/ZRRQHiqvY+IiIjIPZTnAQe+0fb73gD4h9n7iIiI7IZJN7muY6uBspPaeqC92DyNiIjIdmXl/9XKymP6AMnDeeKJyK0x6SbXVFMGHPha25du5b5B9j4iIiIi95C5Cjh9DPDyAwawWzkRUbuTblmP+9ChQ2c9Lo8dO3aMZ5Qcwz5pnlYDhKVo63ITERFjOFlfRQGwv+Gid5/rAX+udkNE1O6ke+bMmfjll1/OenzDhg3qa0SO0TxtEwAPoN9NgCcLOoiIBGM4Wb2sfLt0K68DonoCKbzoTUQk2p2NbNu2DRdddFGLa4Bu376dZ5Xsy2gAdn2o7XcZDYR34TtCRNSAMZys6tjPwOlMQOcLDJzGbuVERB1Nuj08PFBeXn7W46WlpTAYDO19OaLOlfkzUJ7b0DztKp5dIqImGMPJaiqLgH1favt9rgMCIniyiYg6mnRffPHFmD9/frMEW/blsTFjxrT35Yg6T3UJcHC5tt/7GsAnkGeXiKgJxnCyCpOpoVt5HRDZXas0IyIiCy+003PPPaeCds+ePTF27Fj12OrVq1FWVoaVK1e29+WIrNA8rQvnkRERtYAxnKzi2Bqg+DCg8wEG3sKyciKiCx3p7tOnD3bu3Imbb74ZBQUFqtR8+vTp2L9/P/r169felyPqHEWHgZNbtOZp/X/FgE9E1ALGcOp0VaeAff9rrDILjORJJiK60JFukZCQgGeeeaYj30pk3eZpqWOAsGSeZSKiVjCGU+eWlS8FDLVARFcgVauAJCKiDiTdMrIto9ienp5q/1wGDBjQlpck6jyZPwEVeYBPENDzSp5ZIqImGMPJarLWAUUHAE9vlpUTEV1o0p2RkYG8vDzExMSofel+apKrm2eQx9nBnGzePO2AuXnatYBPAN8AIqImGMPJOvH3NLD3c21fVgsJiuaJJiK6kKQ7MzMT0dHRln0ih7H3M62sLTwVSB5u76MhInI4jOFknbLyZVrzUom/aZfwJBMRXWjS3aVLF3VbV1eHJ598Eo8//jjS0tLa8q1E1lN4EMjZxuZpRETnwBhOnS57I1C4D/D00srKPdvdl5eIyK2066+kt7c3Pv74Y+sdDVFbGeqB3R81Nk8LTeK5IyI6B8Zw6rRpXVJlJnpMBoLjeGKJiM6j3Zcmr7/+enz2WcMfWyJ7yVwFVOSzeRoRUTswhtMFl5XLaiF1VUBoMtD1cp5QIiJrLBnWvXt3/PWvf8XatWsxZMgQBAYGNvv6b3/72/a+JFH7m7cc/E7b73M9m6cREbURYzhdkJNbgfzdgIcOyLiNZeVERG3kYWqpDfk5nGsut3QvP3r0KJxdWVkZQkNDUVpaipCQEHsfDp1p82IgdzsQngZc9JD84vEcEZFL66y45OwxnPHZjmrKgFXPAnWV2vKcPSba82iIiJwqLrV7pJvdy8muCg9oCTc8gP6/YsJNRNQOjOHUYdJHRRLukCSg23ieSCIia87pltLyqqqqsx6vrq5WXyOyavO0XQ3N09LGAqGJPNlERO3AGE4dIiuF5O4APDyBDOlWruOJJCKyZnm5TqdDbm4uYmJimj1eXFysHjMYDHB2LF9zUId/APb9D/ANBi79E+dyE5Hb6Ky45OwxnPHZDmrLtbJyfQXQfSLQ60p7HAURkVPHpXaPdEuOLvO+zrRjxw5ERES0/0iJ2tw87Vttv/d1TLiJiDqAMZzabfcnWsIdHA90n8ATSETUAW1OusPDw1VSLQl3jx491L55k+z+iiuuwM0339yRY8CCBQuQmpoKPz8/jBgxAhs3bmz1uW+88QbGjh2rjke28ePHn/V8+VAxd+5cxMfHw9/fXz3n0KFDHTo2chB7PgMMeiAiHUgaau+jISJyKtaM4eTCcncCOVsbyspvBXTtbgVERETtaaT28ssvq2T2zjvvxJNPPqmCtJmPj49KmkeNGtXuk7ps2TI88sgjWLhwoUq45edMnDgRBw4cOKv8TaxatQq33HILRo8erZL05557DhMmTMCePXuQmKjN8X3++efxyiuv4K233lKdWh9//HH1mnv37lXfQ07cPK3fTWyeRkTUTtaK4eTCaiuAncu0fVmPOyzF3kdEROQ+c7p/+uknXHTRRfDy6pyrnZJoDxs2DP/85z/VfaPRiOTkZDz44IN47LHHzvv9Mv9MruDL90+fPl19qEhISMDvf/97PProo+o5UmMfGxuLJUuWYNq0aed9Tc4Zc7DmaT89B1QWAGkXA/2m2PuIiIhsrrPiUmfHcFtjfLahLUu0BmpBccDFjwI6b1v+dCIi957Tfckll+D48eP4y1/+okacCwoK1OPffPONGm1uD71ejy1btqjyb8sBeXqq++vWrWvTa0gn9bq6Ost8clkOJS8vr9lryomQ5L6116ytrVUnrOlGDiJzlZZwS/O0HpPtfTRERE6tM2M4ubCTW7WEW8rKB93GhJuI6AJ5duQqef/+/bFhwwZ88sknqKiosDRSmzdvXrteq6ioSI1Uyyh0U3JfEue2+L//+z81sm1Oss3f157XnD9/vkrMzZuMtJMDYPM0IqJO1ZkxnFxUTVnj8pzSOI1l5UREtk+6peT76aefxvfff6/mgZldfvnlWL9+PWzp2WefxdKlS/Hpp59e0FztOXPmqJIA85adnd2px0kdtOdTNk8jIupEjhTDyQHJjEOZx11XCYQkAd2usPcRERG5Z9K9a9cu3HDDDWc9Lk3PZOS6PaKiotSaofn5+c0el/txcXHn/N4XX3xRJd3fffcdBgwYYHnc/H3teU1fX19Vg990I0donrZDK21j8zQiok7RmTGcXNCJzUD+bsBD11BW7pxz/4mInD7pDgsLQ25u7lmPb9u2zdI9vK3kKvuQIUOwYsUKy2PSSE3un6uLqnQnf+qpp7B8+XIMHdp8+SjpVi7JddPXlDnaUkrHzqxO1DzNXNqWOgYIbd/vFRERWT+GkwtO6dr9sbbfczIQkmDvIyIict+kW7p/yzxqmR8t631Kkrx27VrVKVy6h7eXLBcma2/L8l779u3Dvffei8rKSsyaNUt9XV5Tyr/NZIkwWQJs0aJFaokTOQ7ZzPPS5JgefvhhVT73xRdfqKv68hoy7/v6669v9/GRHRxl8zQiImvo7Bi+YMECFYtlipc0LN24cWOrz5VYP3bsWLXiiGzSi+Vczycbl5XvWArUV2tzuLuO4+knIupE7a4beuaZZ3D//ferZmPSBK1Pnz7q9tZbb1XdUNtr6tSpKCwsxNy5c9WHgIyMDDWCbW6ElpWVpTqam73++uuq6/lNN93U7HWkAcwTTzyh9v/4xz+qxP2ee+5BSUkJxowZo16Ta3Q7yZX2Q99q+72vA3wC7H1ERGRlstRjTZ0Rlfp6VOsN0BuM0NcbUWfQtlq1b0JdvRH1RpN6vtEEGNWt3IflVufpAQ8PwNPDo2HTLsbKrbeXJ3x0nvBWmwd8mt5v2Pfz9oS/tw5eunZfk3YKnRnDly1bpi6cL1y4UCXcshb4xIkTceDAAVWufqZVq1apjumjR49W8Vguok+YMEF1Tecou51lrQMK9wOe3kDG7bKUjL2PiIjIvdfpNpNkePfu3WqEedCgQejevTtcBdcBtaPNi7S53BHpwOjfyqdlex4NEXWQhJbqOgNKq+tQVl3fcFunbitq61GlN6BaX49Kua0zqITZkfjoPODno1MJeEDDrZ/a90KArw7Bvl4I8vNCkK8Xgn29Eehr3US9s+NSZ8RwSbSHDRuGf/7zn+q+jJpLMv/ggw+qhm3nI8m+jHjL97d1lJ3x2Qoqi4GfngMMtUCf64Gul1njpxARuaS2xqUOd8hISUlRG1GnYfM0IqdiNJpUEl1cWYvCcr26La7Qo7iiFiXVdWp0uj18vWSkWaduG0ehPSyj0PKYjGQ3H8HW9uVWHVOTUfCmI+IGown1BpMaRa+zjKSbLKPp5tF1GVWXCwB6eW51vbpg0FaSmAf56lQyHuznjRA/b8SF+mJIlwg4mguN4VJxtmXLlmbTv6QqTUrG161b16bXqKqqQl1dHSIiHO/8uFdZ+ftawh3RFUi/1N5HRETkktqcdP/1r39t0/OkTJzowpqnjWXzNCIHIsmrJNe5pTXIK6tBntyW1uBUpV6Ve59LoI8Oof7eCFGbl9qXhFQS1EBfL20U2UeHAAcp6ZYLCZJ4y+h7lb4eNXUyIq/dV5u+HhW1BlTUaCP25bX1qKyth8EIy3MKK/SW10uPCnSIpLuzY7h0OpeRavNUMDO5v3///ja9hswtl34rkqi3pra2Vm1NRxSoE2X+DBQfBnQ+QMatrC4jIrJ30i3zpSU4yjyt1irSZdSBSTddcPM06ZpKRHYjCXb2qSqcOC1bNU6WVKs51y3x8vRAeKAPooJ8EBnoq90G+SIi0Achfl4OkUi3h6enh7oIIJv8G9pTSl9RIwl5PcprzFsdwgLa9hrW5mgxXJb8XLp0qZrnfa5+K/Pnz8eTTz5pk2NyOxUFwL7/afu9rwUCo+x9RERELqvNSffkyZOxcuVKtUTXnXfeiauvvrpZgzOiDqs61bx5mrc/TyaRDUd2ZfQ6s6hSbdmnq1osqZYS7phgP8SH+iE21A9xIX6IDvZFmL+3SlTdmSSraq63jxfObh/mGDo7hkdFRUGn0yE/P7/Z43Jflu08lxdffFEl3T/88AMGDBhwzudK+bo0a2s60i3zxukCGY3A9vcAYx0Q1VNbnpOIiOyfdH/11VfIyclRS3v94Q9/wK9//WvV+ESCd8+ePfkWUcft/Qww6LXmaUnN110nos4lo5xSJn64oALHirVE+8xRbJkeLUl1coQ/ksMDkBjuj+ggX6cbtSbrxXAfHx8MGTIEK1assCzHKY3U5P4DDzzQ6vc9//zz+Nvf/oZvv/1WXQA4H19fX7VRJzv8PXD6GODlBwycxrJyIiJH7V7+888/Y/Hixfj444/Rv39/dcXa3981RijZHdWG8vcCG/8FeHgCYx/lXG4iK5C5yZJkH8yXrVyVPjcljctSIwOQFh2ElIgAJIT5wddLx/fCheNSZ8RwWTJsxowZ+Ne//oXhw4erJcM++OADNadb5nZLUi9LgUmJuJAlwqR8/f3338dFF11keZ2goCC1tQXjcyc4fRxY+zJgMgKD7uDFbiIiR+5eLsuEHDt2DHv37sW2bdtUB1JXSbrJRur1wO6G5mlplzDhJupE0uRsT04p9uSUIetUVbMluWQ5rPToIKRFBSI9OhAJof5uXyLubjojhk+dOhWFhYUqkc7Ly0NGRgaWL19uaa4my5I1LWF//fXXVdfzm266qdnrzJs3T805JxuorwW2vaMl3AmDgMQhPO1ERDbQ7qRblgJZtGiRuprdo0cPzJo1C7feemunXHknNyxvqyoG/MLYPI2oExSU1agke/fJUuSU1jT7WkywL3rGBaNHbBBSIwNZKu6mOjuGSyl5a+Xk0iStKUnyyc72fg5UFmpxt//NLCsnInK0pFvmYS1ZskQtE3Lbbbdh9erV522AQtSq8jzg8Aptv9+NgBfn7BF1tNP4juwSbMsqUQ3Rms7LluWq+iSEoHdciOowTu6LMZyQtxs4vlY7ERm3AT4BPClE1C4yK1mW1ZRNL5vBiNo6g7qtN5hgMJrUUqJGk0ndl1t5zNCwyX1pPurR5LOK+db8qOx7eXpC5+kBb52HujXf99LJvnbf19sTPrrGW0fvO9PmOd1SIpaSkqI6nkoDlda89NJLcHacM2Zl8iu37p/a2qCx/YBhd/NqO1E71NYb1Ii2JNpHCisspeMSb7pFB6FvYih6x4cgyLfDM4jIxeKSq8RwxucOqi0HVj0L6CuA9EuBvjd07htDRE5JEueymjrV66Wsuk4te1lZW6+WwazSG7R9udUbUFNnUMm2o/Ly9ICPl6fqUyN9aZom5QGyFKi3Dn7e2q0sCyqfkWSqncPN6b744ovVlYk9e/a0+hz5OtF5ndisJdye3kC/KUy4idoop6QaGzNPYXt2SbPA1yUyAIOSw9A/KVQtW0XEGE4WclVux1It4Q5OAHpdzZND5AZkXFWS6NOVdThVpcfpSj2KK/UoqdJrSXZN3Vmrl7SVpHyS3GpJrk7tS9Iro9HayLSH6hWj82h8TOfpYckVzWO+5kEDExrvG02AwWhUI+YyOl6nRtAb7hu0kfQ6Q+NIu3xdyOP1eu1iAVB33n9DqL83HpvcC7bS5k9nZ87NIuoQfaW2RJjoMQkIiOCJJDoHCSw7T5RiQ2Yxsk9VWx6PDPTBoJQwZCSHITKI0zPo3BjD3VjWOiB/N+DpBQy6HdB52/uIiKgTSfJZWFGr+roUlGu3klxLkq1vSEjPRZqrhvh7I8TPG0F+XmpUONBHu5UR4UBfLzU6LPdlpFgSbUmqHWWw1WA0qXMgVYDmsnfZlwsKkpTLCL1s1XqjGsGv1msj+fLvsiUOiZBt7f9Ku9oeFKeVuBFRq3O11x0pwsbM0yo4mMvH+yaEYkRahOo87igBj4gcVEUhsOdTbb/XVVwlhMiJyeiwJNNS9SabJNj5ZTU4XVXXbIWSpuRjgozoRgT4qN4ucsE+NEBLsEP8vFSyLaPUzvx5QufpoS4OyObImHST7ZzKbGziMuBmQMdfP6Iz5ZZWY/WhItUcTUqsRHiAN4alRWBol3AE+3GUiojawGjQlgcz6IHI7kD6ZTxtRE6UYEsyffJ0NU6WVOHEaUm0aywX4c8ko9CxIb6IDfFDdLAvooN8VZId5u/t8A3G3AWzHrINoxHY9aG2nzwCiOzKM0/UJLgeKazE6kOFOJhfYTkvaVEBGNMtGr3igrmONhG1z4FvgJLjgJc/MOg29k8hcmBGo0mtQHKsqBKZxZXqtqL27ARbyrrjQv2QGOavEmxJtGNC/Ng41Qkw6SbbyPwJKDsJeAcCva/hWSeyJNsV+GFfAY4XV6lzIhVe/RNDMaZbFJIjuKQPEXVA4UHg8A/a/sBpgH84TyORgyXZJ0uqcbRIS7CPFVee1dRMBqjjQ/1Vgp0Yrt3GBPty5NpJMekm66s+rV1xF5Jw+wbzrJNbM49s/7Av35Jsy1qUQ1MjVLIdwTW1iehClgfb9rbqB4yU0UBCBs8lkYP0ajmUX45DBRU4lF9xVqm4zK2W1UhSowKRFhmIpHB/JtjulnTv3LkT/fr1U+t8yv65DBgwoLOOjVzF7k8AQy0QngakjLT30RDZVWZRJb7fm4fMoipLqdjwtAhc0jNaNTYh6myM4W5Euiltf19LvIPjuR43kV3/dzSpudh7c8uwL7cM+WW1zb4uHcHTorUEOzUqAAmh/pxK5u5Jd0ZGBvLy8hATE6P2pcOdeX01Yb4vtwZDyxP8yU3l7wHydgIenlrzNCfujkh0IQrLa7F8Tx725pRZkm1pjnZJj2jVWZTIWhjD3cjRVUDBXsDTGxg8A/DysfcREbmVeoNRlYxLrJdEu6ym3vI1+QgsJeI9Y4PRPTYIyeEBTLLdSJuS7szMTERHR1v2idqkvhbY9ZG2L8uDhSTwxJHbqaitx8r9BdhwtFh1I5egOzw1Apf1imGyTTbBGO4mSrKAff/T9vveAITE2/uIiNxmfrYk2rLqyJ6csmZl41Iy3jMuGL3jQ9AjNggBPpzZ667a9M536dKlxX2ic5J53NWntAYuPSbxZJHbXe1ee6QYP+4vQG291hyld3wwJvWNU51GiWyFMdwN1NUAW98GTAYgfiDQZbS9j4jILUrHd5wowc4TpShvMqId7Oel4n2f+FB0jQ7kvGxSOnS55cCBA3j11Vexb98+db9379548MEH0bNnz468HLnqFXcpcxP9bwa8fO19REQ2c7igHF9sz0FhhV7dTwzzw+T+8egaHcR3geyOMdwFyZKclYXaRe4B0ziVi8hKymvqsC2rBJuPn1bTxprOz+6fFIKBSWFIjQxk2ThdeNL98ccfY9q0aRg6dChGjRqlHlu/fr1qtLZ06VJMmTKlvS9JrsZoAHYs0zqnJgwGYvvY+4iIbNaZ9Otdueqqt/lq96R+cRiUHKZ6XhDZG2O4C8reBJzcrPVOGTwd8OFSg0SdXT5+sKAcm4+dVvO0ZaqY8NF5oE9CCAYkhaF7TBBHtOmcPExNO6K1QdeuXXHbbbfhr3/9a7PH582bh3fffRdHjhyBsysrK0NoaChKS0sREhJi78NxPrI2qMwrkzW5L5vDJcLILQLyL0eK1RJgUkou+fXI9EhM6BMLP2+dvQ+PXEBnxSVnj+GMz2eoKAB+flFbIaTnVUCPCfZ5Y4hctCfLpmOnsOHoKXVR3Sw5wh9Du0RgQFIoYzyhrXGp3SPdubm5mD59+lmP33777XjhhRd46t1dZRFwYLm23+c6Jtzk8nJLq/HxlhM4WVJjCcbXZyQiIczf3odGdBbGcBdSrwc2L9YS7shuQLfx9j4iIpdwsqQa644Uq8Zo9Q3D2oE+OgxKCcfQ1HDEsi8LdUC7k+5LL70Uq1evRrdu3Zo9vmbNGowdO7Yjx0CuQoomdi4DjHVAVA8gebi9j4jIagxGE346WKA6kxuM2nwuKSUflhrOUnJyWIzhLmT3R0B5jnZxW8rKPT3tfURETksKf2U97dWHinC8uMryeFK4P0Z1jcSAxFCWj5Ntk+5rr70W//d//4ctW7Zg5MiRljndH374IZ588kl88cUXzZ5LbuTEJqDooLY+qDRP4xxWclE5Jdrodk6pNrrdJz4Y1w1KRIgf19smx8YY7iKy1gPZG2SWoLYet1+ovY+IyGlXGpEO5D8dLLI0RvP0gCodH5UeparX2JOF7DKn27ONV1LlF9RgaFynzplwzlgH1JYDP84H6iqB3tewzI1cdu72jwe00W2pOAvw0eGagQkYmBTKoExOEZecPYYzPkvHxpPAmv+nVZX1uhrofoW93xYip1Nbb1CN0WRk2zxf28/bU/VjkZFtXkQnu8/pNhq19WaJmtn9iZZwhyQB6Zfx5JDLOVWpx7JN2cg6pZWd9U0IwXUZCQjm6DY5EcZwF1iPe8tiLeGO6cML3ETt/V/IYFSN0WR6WEWtwbLSyJhuURieFsHGaORY63QTNZO/F8jZqpW5DZwKeLJbM7kWaaby6baTqjO5r5cnrh+UyNFtIrItKUzc8X7jetyDbuc0LqJ2lJFvOnYaqw4UoKymXj0WEeiNi7tHY3CXcHjr2BOBrKvNv2FXXnmlGjY3e/bZZ1FSUmK5X1xcjD59uB6z26mvBXZ9oO2nXwKEpdj7iIg6TU2dAR9uzsbSTdkq4e4SGYCHxnVHBtfdJifDGO4CMn8CcncAHjpgyEzAJ9DeR0TkFNPCNh87hZe+P4gvduSohDsswBtTBifi91f0xIj0SCbc5Fgj3d9++y1qa7UGA+KZZ57BzTffjLCwMHW/vr4eBw4csM5RkuOS9birTwP+EUDPK+19NESdumTI0o1ZKKrQq56Al/eMweW9YuApHVaInAxjuJMrPgLs/Vzb73s9EJ5q7yMicngH88vx1c5cFDQ0SAvx88KlPWPUKiNeHNkmRx3pPrPfWjv7r7VqwYIFSE1NhZ+fH0aMGIGNGze2+tw9e/ZgypQp6vnS5OXll18+6zlPPPGE+lrTrVevXp1yrHSGokPAsdXa/sBbAC9fniJyCXJVfOGqIyrhDvX3xuyx6RjfJ5YJNzkta8VwsgG5sL15EWAyAgmDgVQuz0p0LvllNVi8NhOL1x5TCbc0Pb2yfxwendhTNUljwk1uN6d72bJleOSRR7Bw4UKVcEsSPXHiRDViHhMTc9bzq6qqkJ6ejl/96lf43e9+1+rr9u3bFz/88IPlvpcXp65bpax8x3+1/S4XAdE9Ov9nENmhwcr/duSoeV+id3wwfjUkGf4+7FNARHZgqNcSbn0FEJKoXeDmcpxELaqorccPe/Ox8dgp1QJBBrNHd43CZT1jGMfJ7tqcjZpHjc987EK89NJLmD17NmbNmqXuS/L91VdfYdGiRXjsscfOev6wYcPUJlr6etMkOy4u7oKOjdpQVl5VrDVz6c312Mn5na7U4/2NWThxulp9pr2iTywu7RHNpcDIJVgjhpOVSdaw60OgJAvwDgSG3gV4+fC0E7Uwb3tD5il8tzcPNXXaKkv9EkMwqW8cIoNYhUlOlnRLKdrMmTPh66v98tbU1OA3v/kNAgO1Rh5N53u3hV6vx5YtWzBnzpxm64eOHz8e69atw4U4dOgQEhISVMn6qFGjMH/+fKSktN7gS4696fHLemt0DkWHm5eVe/vxdJFTO5RfrpqlVekNqgxt2rBkdI8NtvdhEXWazo7hZAPHfwGy12srgwyeDgRG8rQTnSH7VJVqkCYXzEVimB+uGpCAtCg2GiQnTbpnzJjR7P7tt99+1nOmT5/e5h9cVFQEg8GA2NjYZo/L/f3796OjpEx9yZIl6NmzJ3Jzc/Hkk09i7Nix2L17N4KDW/4QLUm5PI/aWlb+vrafMhqI7snTRk6diPxypBhf7cpVg0pJ4f64dXgKwgM5mkSupbNjOFnZqaPA7o+1/d5XAzHsTUPUVLXeoEa2ZYRb4reftycm9InDiLQI9l8h5066Fy9eDGcwefJky/6AAQNUEt6lSxd88MEHuOuuu1r8Hhltl7nlTUe6k5OTbXK8Tmf/l1pZuV8Y0Oc6ex8NUYcZjCZ8seMkNmZq87eHdgnHtRkJXDqEXJKzxHCSbKIE2LwYMBmA+IFA13E8LURN7DpRquJ3Ra1B3R+UHIbJ/eMQ7OfN80QOy24dxqKioqDT6ZCfn9/scbnfmfOxZUmzHj164PDhw60+R8rtzCV3dJ4lSzJ/1vZZVk5OfoX8vQ3HcaSwUs3fvrJfPC7qFsk5rkRkX4Y6YPN/gNoyIDgeyLiNjdOIGpTX1KlS8t0ntWmg0cG+uC4jAV2jg3iOyHWWDOtsPj4+GDJkCFasWGF5zGg0qvsyD7uzVFRU4MiRI4iPj++013RL9Xpgu7msfBRL3chpFVXU4vVVh1XC7evliTtGdsGY7lFMuInIvqRGdvt7jY3Tht3NpTiJGqaC7cguwcs/HFIJt6cHMK5XDH57eTcm3OQ07LqWlpR0yzyzoUOHYvjw4WrJsMrKSks3c5lflpiYqOZcm5uv7d2717J/8uRJbN++HUFBQejWrZt6/NFHH8U111yjSspzcnIwb948NaJ+yy232PFf6ipl5UUsKyendrSwAu+uz0J1nQFhAd6YPqoL4kP97X1YRETAwW+BnG2Ahycw9E4gMIpnhdyejG5/vj0He3K00e34UD/cNCQJCWGM3eRc7Jp0T506FYWFhZg7dy7y8vKQkZGB5cuXW5qrZWVlqY7mZpJEDxo0yHL/xRdfVNsll1yCVatWqcdOnDihEuzi4mJER0djzJgxWL9+vdqnzigrnwZ48w8dOZ/dJ0uxbFM26o0mpEQE4PaRKZz/RUSOQZLtg99o+/1vBqK0gQQid7Y3pwwfbz2hVhaRNbdlve1Le8ZAJ0PdRE7GwyQ1G9SMNFILDQ1FaWkpQkJC3Pvs1NUAPz+vNU9LHgFk3GrvIyJqt1+OFOHLnVqH8r4JIZg6LJkN08ipMC658HmQcvK1rwDGOiD9UqDvDfY+IiK70tcb8fWuXNWZXCTI6PbQJFamkVPHJbuOdJMT2PuZlnD7R/CDADkduab43d58rDpQqO6PTI/ANQMSuJwIETlOp/JNb2oJd0wfoDdXBSH3llNSjaWbslFYXqvuX9w9Clf0iYWXDHUTOTEm3dS6vF1A1jopiNA6qLKsnJxsSbBPt53EluPakmAT+sTi0p7RbJhGRI6hvlZLuGtKgaA4YPB0oMmUOiJ3u0i+5nARvt2TB4MRCPH3wq+GJKNbDDuTk2tg0k0tqy0HdizV9rtexvll5FTqDEa8t/44DuRXqC6nNwxKxNDUCHsfFhGRxmgEtiwBSrMBnyBg+D28sE1uq0pfjw82ZauYLfokhGDK4EQE+DBNIdfB32Y6m0x8lYRbXwEEJwA9r+JZIqdRU2fAO+uO42hRJbx1HrhleAp6x7vI3E8ico0Yu+tDoGAv4OmtLQ0WGGnvoyKyi+xTVfjvxiycrqpTMfuq/vEYnhbBqjRyOUy66WzZG4D83YCHDhh0O6Djrwk5h2q9AUt+OYasU1VqDe6Zo1ORGhVo78MiImp0+Acg6xdt6paUlEek8eyQW5aTrz96SjVMk1VFIgN9cOuIFC4FRi6L2RQ1V1kM7P5E2+91JRCayDNETqGyth6L1mQip7QG/t46zLooFckRAfY+LCKiRic2A/u/1Pb73QjED+DZIbdTW2/AZ9tOYnt2qbovq4rI2tt+3jp7HxqR1TDppuZzzLa/CxhqgYiuQPrlPDvkFMpq6lTCnV9WiyBfHe4ck8alRYjIsRQdAra/r+2nXwakXWzvIyKyueKKWryz/riK19JzZVK/OIzpFsVycnJ5TLqp0aHvgFNHAZ2v1q2cXVTJCZRW1eHNNUdRVKFX3U7vGpOGmGA/ex8WEVGjshxg038AkwFIGAT04dJg5H4OF1Tg/Q1ZqK4zIMTPS/Vc4RQwchdMuklTfAQ4uFzbH3Azm7qQUyitrsMbq4+iuFKP8ABv3D02HRGBPvY+LCKiRpVFwPrXgPpqICJdu6jt4cEzRG41f3vd0WJ8tTMXRhOQFO6P20d2Qai/t70PjchmmHQToK8Ctr0jfxaBpGFA0lCeFXKKkvI3GxLuiEBv3DO2K0IDGMCJyIHIGtyScMsynLIayLDZgI5/p8h91BuM+GJHDjYdO63uD0oJU8t4euu4Jj25Fybd7k6WLtm5DKg+DQREAf1usvcREZ1XuUq4M1VJuRrhHpPOhJuIHO+C9vrXgapiICASGPkbwIfNHcl9VNTW4931x3G8uEoVd0zqG4ex3Tl/m9wTk253l7UeyN0OeHhqS5d4cy4sOX4Ql4S7sLxWlaZJSXk4S8qJyJHU1wIb/wWU5wK+IcDI+wG/UHsfFZHNSIxe8ksmTlXWwc/bE9OGpaBnXDDfAXJbTLrdWXk+sMe8PNhVQHgXex8R0XmXBZOS8oLyWtU0bfbYNM7hJiLHYqgHNi8GTh8DvAOAkfeyTwq5lePFlXh73XFU6Q1q+teM0alscEpuj0m3O38o2Po2YNADUT2BruPsfURE51StN1iWBZOup7PHpiMyyJdnjYgcb+nNwn2AzgcYfg8QkmDvoyKymV0nSvHB5mzUG02qYdr0UV0Q7Mc+BkRMut3V3s+AshOATxAwiJ1UybHV1hvw1rpjyCmtQbCflyopj2LCTUSOmHDnbAM8dMDQO4GINHsfFZHNOpSvPlSEb3bnqft94oMxdVgKfLzYMI1IMOl2Rye3AsdWa/sZt3KeGTl851NZ11Masfh76zDrolREB3OEm4gcrCnpjv8CJ7doPVKGzgJietv7qIhslnD/b2cu1h0pVvdHd43EVf3j4enJpfGIzJh0u5uKAq1bueg2Hojta+8jImqV0WjCB5tP4GB+BXx0Hpg5OhXxof48Y0TkYAn3UuDExoampDOAuP72Pioim10Y/2jLCew4Uao6lEuyfVG3KJ59ojMw6XYnhjpgyxKgvgaI6Ar0vMreR0R0zivnn247iV0nSyHLed4xqgtSIrncDhE5WMK960Mgez0AD2DQHUBChr2PishmU7+kEk0ujEucvnloMgYkhfHsE7WASbc72fURUHZSm8cty4N5cp4NOW7CvXx3HjYfP62unMtSI91iuNQIETlYwr37Y+D42oaE+3YgcbC9j4rIJqr09Xjrl+PIOlWlKtFuG9kFPWIZp4law6TbXWRvbLwSL6Vv/rwSSY5LmrH8fKhI7d84KBH9Erm+LRE52gj3R8DxNVpcHXgLkDTU3kdFZBOl1XVYvFZbTUR6rcjUL1aiEZ0bk253UJYL7PxA2+8xCYjuYe8jImrVzhMllu6nk/vFYWhqBM8WETlWl/KdS4HsDQ0J9zQgZYS9j4rIJk5V6vHm6qM4XVWnlu+8c0waYkP8ePaJzoNJt6urqwE2LwKMdUB0L6DHRHsfEVGrjhVV4sPNJ9T+qK6RGNudzViIyIEYDcC2dxqWBfMEMm4HkobY+6iIbJZwv7H6KEqq6hAV5INZF6UhItCHZ5+oDTip19XL3+TDQWWBtiyYzDeTCbJEDqiwvBbvrD+OeqNJre95df94ePD3lcihLViwAKmpqfDz88OIESOwcePGVp+7Z88eTJkyRT1f/t9++eWX4VQM9dpFbPM63ENmMuEmt3G6YYRbEu7oIB/MvjidCTdROzDpdmWHvgPydwOeXsDQuwBfNrggx1RRW48lv2SiSm9AUrg/pg5L4fqeRA5u2bJleOSRRzBv3jxs3boVAwcOxMSJE1FQUNDi86uqqpCeno5nn30WcXFxcCr1emDTGw0x1RsYdjcQP9DeR0Vks4T7jYaSckm47xqbjhA/b559onZg0u2q8nYDB77R9vv/CgjvYu8jImqRvt6It9cdw6nKOkQEemP6qC7w8eKfJiJH99JLL2H27NmYNWsW+vTpg4ULFyIgIACLFi1q8fnDhg3DCy+8gGnTpsHX1xdOQ18FbHgdKNwP6HyA4fcAsX3sfVRENk+4oxoS7lB/JtxE7cVPtq6ookArK4cJ6DIGSBlp7yMiapHRaMIHm7ORfapadUCdMToVwbx6TuTw9Ho9tmzZgvHjx1se8/T0VPfXrVvXaT+ntrYWZWVlzTabqj4N/PIKcOoo4OUPjLyXzUjJbZRU6fHmmsaE+24m3EQdxqTbFRunbfoPUF8DhKcBfW+w9xERterr3bnYk1MGL08P3DGqC2KC2QGVyBkUFRXBYDAgNja22eNyPy9PW32gM8yfPx+hoaGWLTk5GTZTngeseRkoz9X6olz0WyAi3XY/n8iOSqvq1Ai3VKFFBvrg7jEc4Sa6EEy6Xa1x2vb3gIo87QPC0DsBHRvUk2P65XAR1h4uVvs3DUlCWlSgvQ+JiBzMnDlzUFpaatmys7Nt84NlZHvtP4CaEiAwBrjoYSAkwTY/m8gBEu5/rz5imfY1W0a4A1hSTnQhmJG5koPfAnk7G7qqzgL8Qux9REQt2pNTii935ar9iX1jMTA5jGeKyIlERUVBp9MhPz+/2eNyvzObpMncb5vP/5aeKFuWaEtthqdqc7h9eFGQ3G+EWxLue8Z2ZcJN1Ak40u0qTm4FDjZpnBaRZu8jImpR9qkqLNuUrQozhqeF45Ie0TxTRE7Gx8cHQ4YMwYoVKyyPGY1GdX/UqFFwWpmrgc3/0RLumL7AyPuYcJPbKK2uU3O4iyv1HOEm6mQc6XYFp48D29/X9tMvBbo48QcecmmnKvWqU3mdwYSesUG4bmAi1+ImclKyXNiMGTMwdOhQDB8+XK27XVlZqbqZi+nTpyMxMVHNyzY3X9u7d69l/+TJk9i+fTuCgoLQrVs3u/5bYDQCez4Bjq3W7iePBAbcDHjq7HtcRLZMuFcfRVGFHuEB3moOd1iAD88/USdh0u3sqk5pa4fKVfnYfkDv6+x9REQtqtLXY8naTFTUGpAQ6odpw7kWN5Ezmzp1KgoLCzF37lzVPC0jIwPLly+3NFfLyspSHc3NcnJyMGjQIMv9F198UW2XXHIJVq1aBbupqwa2vAUU7tPu974G6DoO8PCw3zER2Tjh/k+ThFvmcIcHMuEmcqny8gULFiA1NRV+fn4YMWIENm7c2Opz9+zZgylTpqjne3h4qKvqF/qaTq2+Ftj0JlBbDgQnAIPukDVb7H1URGepMxjx7vrjKKzQq/U9p49OhZ83R5CInN0DDzyA48ePq6W9NmzYoGKumSTSS5YssdyXuGwymc7a7JpwVxZrDdMk4fb01hqQdhvPhJvcRlmNlnBLfGbCTWQ9ds3Qli1bpsrT5s2bh61bt2LgwIGYOHEiCgoKWnx+VVUV0tPT8eyzz7baqKW9r+m0pBRu69tA2UnANxgYPhvw5nJL5HjkQ/XHW04gs6gKvl6emHVRqkq8iYjsSjqUr3mp+ZJg8QP5ppDbKK+pw5s/awl3mJSUc4SbyDWT7pdeegmzZ89W87/69OmDhQsXIiAgAIsWLWrx+cOGDcMLL7yAadOmtdrNtL2v6bT2fQHk7wY8vYBhdwMBEfY+IqIWfbsnHztOlMLTA7h9ZBfEhvDiEBHZmaEe2PoOoK8AQpKAMY8AYSn2Pioimybcb6zOtFSgSUl5BEvKiVwv6ZYmKlu2bMH48eMbD8bTU91ft26dw7ymQzr6E3D0R20/41ZtSRMiB7Qx8xR+Olio9m8cnIRuMUH2PiQiIkDnBQyZCSQM1ka4/blsIbnZCLck3OW1KuG+52Im3EQu20itqKgIBoPB0nDFTO7v37/fpq8pc9FkMysrK4PDytkG7PlU2+91NZA4xN5HRNSiA3nl+Hz7SbU/rlcMhnQJ55kiIscR3gUYMsPeR0Fkl4S7oCHhnj02jSPcRDbArluAWs4kNDTUsiUnJ8MhFR0Gtr0rs2SB1LFasxciB5RTUo3/bsyC0QQMTgnDuN4x9j4kIiIit1ZRW4//rNES7hB/L9w9Ng2RQS1P1yQiF0m6o6KioNPpkJ+f3+xxud9akzRrveacOXNQWlpq2bKzs+FwynK1TuXGeiBuAND3RnZXJYdUUqXHW78cQ229EV2jA3HDIK7FTUREZO+EW9bhzi/TEm6Zwx3FhJvI9ZNuHx8fDBkyBCtWrLA8ZjQa1f1Ro0bZ9DWlKVtISEizzaFUnwY2LATqq4HwNGDwdC4NRg6pps6AJb8cQ1lNPWJDfHHbiC7w0rGghoiIyK4j3KsztYTbjwk3kVvN6RaytNeMGTMwdOhQDB8+XK27XVlZqTqPi+nTpyMxMVGVf5sbpe3du9eyf/LkSWzfvh1BQUHo1q1bm17T6eirgA3/AmpKgKBYbWkwHZdbIsdT37AWtzmozxydCn8frsVNRERkL5UNCXdeWY2KzbIsGEe4idws6Z46dSoKCwsxd+5c5OXlISMjA8uXL7c0QsvKylLdx81ycnIwaNAgy/0XX3xRbZdccglWrVrVptd0KvW1wMZ/Na4hOuI3gE+gvY+KqOW1uLeewJHCSrUW9/TRqQgL8OGZIiIispMqvTaHWxLu4IaEOzqYc7iJ7MHDJJ+WqRnpXi4N1WR+t91KzQ11wMZ/A0UHAe8AYPSDQEgC3ylySN/sysXPh4rUWtwywt09Ntjeh0TkUhwiLjkAngeito9wL1qTiZxSc8KdhphgP54+IjvFJbuOdFMrjAZgyxIt4db5aiPcTLjJQf1yuEgl3GLKkCQm3ERERA4wh7txhJsJN5G9Mel2NEajtixY/m7A0xsYfo+2liiRA9p9shRf7spV+xP6xmJwCtfiJiIispeymjqVcKtlwfy8cNcYJtxEjoBJtyORSv9dHwA5WwEPHTD0TiBKaxBH5GgyiyqxbFO2+rUdmR6BS3tE2/uQiIiI3FZpVR3eXHMURRV6hPp7qxFuNk0jcgxMuh2FZC57PgWy1slUe2DwHUBsH3sfFVGLckur8c6646g3mtAnIQTXDEiAh4cHzxYREZEdnK7Uq4T7VGUdwgMk4U5HRCAbmhI5CibdjpRwZ/6k3R94C5DQ2KWdyJEUltdi8dpjqK4zoEtkAKYNS4andFAjIiIimyuuqMWbazJRUlWHyEAfNcLNFUSIHAuTbkdIuHd/DBxbrd0fMBVIGWHvoyJq9Uq6LD9SXlOPhFA/zBiVCm9d47J+REREZDs5JdVY8ssxFZejg3xw19h0VVpORI6FSbdDJdzTgC6j7HpIRK0pr6nDorWZKK2uU+t8zhqTBn8fHU8YERGRHRwprFBTvWrrjYgP9cOsi1IR7MeEm8gRMem2a9O0j4Dja7Q53AOnASkj7XY4ROdLuGWEW5qzyFyxuy5KQ5Av/3wQERHZa/UQaWYqvVXSogJwx8hUXggncmD81Gy3hPtD4PjahoT7FpaUk8OSkW1JuGUud4i/tvxIaACvpBMREdmayWTC2sPF+Hp3rvo42TchBFOHJXOqF5GDY9Jtj3W4d7wPnNikJdwZtwHJw2x+GEQdWX5k9tg0RAb58uQRERHZWL3BiP/tzMHGzNPq/oi0CFw7MIHNTImcAJNuWzLUAVuWAPm7AQ9PLeFOGmrTQyBqKy4/QkRE5Biq9PV4b30WjhZVQlbovLJfPC7qFsnlOomcBJNuW6mrATa9ARQfBjy9gCGzgLh+NvvxRB3thsrlR4iIiOwnt7Qa72/IUlVnvl6emDY8Gb3iQviWEDkRJt22UFsObPgXUJoNePkBw2YDUd1s8qOJ2utwQQXeXa91Q40L8cPMi1K5/AgREZEdbM06jc+2nUSdwaQamc4YnYrYED++F0ROhkm3tVWfBta/DlTkAz5BwIjfAGHJVv+xRB2xLes0Pt56AgYjkB4ViDtGdYGfN5cFIyIisvX87S935mJD5il1v0dskGqYFuDDj+5Ezoj/51qTvhJY8zJQUwL4hQEj7wOCY636I4k62g31u735WHWgUN0fkBSKXw1JgpfOkyeUiIjIhgrKatRyYDmlNWr+9rheMbi8VwznbxM5MSbd1uQdACRkAPl7gZH3AgERVv1xRB1RU2dQwX1/Xrm6f3H3KEzqF8fgTkREZOML4DKy/fWuXFVOHuCjU6PbPWKD+T4QOTkm3dYklyf7XA90nwj4BFj1RxF1REF5Dd5ddxyFFXp46zxww6BEDEoJ58kkIiKyobKaOjV3e1+udgG8e0wQbhqahBA/b74PRC6ASbctEm8m3OSAV9OlOcsX23OgN5hUo7TbR6YgKZwXh4iIiGwZjzcdO41vdueips4IL08PVW02uiuXAyNyJUy6idywnFyupu84Uarud40OxLThKQjy5Z8DIiIiWyksr8Wn204gs6hK3U8K98eUwUmIC2V3ciJXw0/ZRG7kaGEFPtpyAqer6uDpAYzvE4tLukfDU+4QERGR1VXrDVi5vwDrjhap1UJk7e0r+sRiVHok4zGRi2LSTeQmAV4as2w+flrdjwj0xrRhKUiOYDk5ERGRLRiNUkp+Ct/vzUel3qAe6xUXjGsHJiA80IdvApELY9JN5OJzxXadLFVrfZbX1KvHRqZHYGLfOK6/TUREZKNYvPNEKVbsy1eNS0VMsC+uGhDPzuREboJJt5XJXJ2KWoNqVCVbmL83Qhpug/28uA4yWU1WcRW+3p2L48VVlgB/4+BEdIkM5FknIiKyQbK9J6cMK/YVIK+sRj0my4CN6x2DEWmR0HFqF5HbYNJtZYcLKnCqsq7VxubSvMqckJuTcfN982P8o0ztUVxRi+/25qur6sJH54FLekbj4u7RvMhDRERkZfUGI7Znl2D1oSIUlNeqx2Te9sU9ojC6axQrzYjcEJNuK7tmYAJOV9ahtFqPsup6lFTrUVpdp/brjSZV8ivbidPVbUrMm25hAd5q/UYm5mRec3vVgULsyC6B0aT97gxJCVfN0uT3hYiIiKynvKZO9U5Zf6QYZQ1TuiTZHtU1EmO7RyHAhx+7idwV/++3sl5xIa2WHEkTDUnAS6skKb+wxDzY10sl302TcblVo+V+LGV3VfJ7JL8Xaw4XqbnbJpP2eM/YIEzsF4f4UH97HyIREZFLx+GjRZXYmHkKu0+WqoveIsTfCxd1jcLwtAiObBMRk2578fDwUCPYsiWG+Z8zMS+pakzGy1Ry3nyT5SbkimrZORJzEeijU4l5iJ+WoJtHySUwmPflOXJs5NjqDEZVPr7+aHGz97xPQggu6xmNpHB2JSciIrKW/LIaVUIu1WWyDKdZSkQARqRHYEBiKKd0EZEFR7qdJDFHOFpNzCtq65sl4Wcm5uYRc0ngZcvVpvq2SOeJhpFxLRmXkXK179dk398Lvl46q/27qfX3WpqiSZCXhLu6TltuxMvTAwOSQjGmexRHtomIiKzkdKUeO0+WqkQ7t1RrjGYuIc9IDlOj2gmtDKQQkXtj0u0CibkkwrIlnSMxlwRNEnApUzcn5Wq/RitvL6+tV8m7jJrLFdumV21b4uft2ThS3mzkvGHU3M8bgb46XuXthDU9s09XYW9OmSofb/q+yPSBEWkRGJoaoV2YISIiok6NwVmnqrA/rxz788qQX6Y1RTMPUvSMDcbA5DD0jg+BtzxARNQKflJ3k8RcmnfIFh/a+vMMav64NjIuybgk52Vn3a9Hbb0RNXWy1Vq6crZGlsaQpdHUhQFfL8t+kJ82gh/ScF+SeJa1a6r09ThSUImD+VqQlyXnml5N75cYqq6op0cFwpPLjRARdXhZxaq6epUs+eg81a2XzqPJfQ+1eghjk/uQQYqiCj2OF1fiSGEFDuZXoErfGINl9l1aZKBKtPsnhsLfh1V/RNQ2TLrJQj5chAX4qO1cauoMlgRcjZS3MIIuybs0E5FgJVvTq8Mt/iJ6yoi9l0rGz0rQLfteCPT1crmryXIO5cNf9qkq1YzlZEm1pSGakAsSveKC0Sc+FD3jguHj5Vr/fiIie1i5Px8H8ivO+Ry5rqmScC9PFafM+5KQy74lQfc6435D0u51xtdb/BqTe7uprK1HTkk1TpRUq1uZwiWfYZry99ahZ1wQesaFoEdsEDuQE1GHMOmmdvPz1qktpuXG7JarxZJsS8m6Gj1v6MBe0ZCQq8RcStpr6lXpu8w5byxrb70ZnHm0V0bQJQEPbLiVxDygyf1AH0nQdSo4Osoour7eiNNVetV8Ja+0BvnltSrIl7RQyh8b4otuMUEq2U6LCuJa7UREnSwyyBdJeoP62yzNKSUOyb7eYLRc+JSLx1LdJZs1NU3uVULu2fbkXhud177HfN98gUDbb0zyzY/Lz3OEuGhtUsFn/hxyqlKP4go9iiv1KKqoVffPTLCFnKPkCH+kRgaiR2ywaozGqjIicomke8GCBXjhhReQl5eHgQMH4tVXX8Xw4cNbff6HH36Ixx9/HMeOHUP37t3x3HPP4corr7R8febMmXjrrbeafc/EiROxfPlyq/47qJEEc5X8+nohNsTvnKdGPuxoybg2cq4FSJljbh41r282em7+AHS+eeeNxwL4ecmFAk91xVpdNPDRqX3ZJInXPtzIbeMHGvOHGvl+CbjqQwq0W/k8Jh/QDAYTDCYTDEb50KbNna+qldH9enXRoVIvFQD1KtluKbibjy8uxE8F9i6RAegaE6TmxBMRkfVcMzCh1YvGkqzJ33RJwFVCbpD7WkIut3X15/jaGV/XNi2hb3bfDsl907jj7dmQiEvS7tlYWi9Vb+bReLXf8DV5btPv0XloX/dsuJUiNM+zHmvcl9hp3m8ro8kEo1HirXZRRM61vDdyX2616W4GNeWttl67lfgrnyPkc4U0jz2fqCAftYqMNEBLjghAUri/y1XUEZH92T3pXrZsGR555BEsXLgQI0aMwMsvv6wS5AMHDiAmJuas5//yyy+45ZZbMH/+fFx99dV4//33cf3112Pr1q3o16+f5XmTJk3C4sWLLfd9fX1t9m+i9pHgFh7oo7ZzkQ9CElAlkZWSsMqG5LaiYV8er5J9SXbVY/XQG0zqQ40kw7KdRtsSdWuRBD8mxBexwX6IC9U2CfZyIYCIiBzjorGWZAL+sN7f5paSe3MS31Jyf9bXmny9vmGkXl5L9utUgmp+TPs+2W/82VDxUW84f1Lq7CTHl2o4+YwREeiD6CBfdRsZ5IOoIF/GXyKyCQ+T/NW3I0m0hw0bhn/+85/qvtFoRHJyMh588EE89thjZz1/6tSpqKysxJdffml5bOTIkcjIyFCJu3mku6SkBJ999lmHjqmsrAyhoaEoLS1FSMg5aqjJ4cmHjZqGhLtGb0RNvQHVekPjYw1XyBs/4DSOQJg/1MjnFLnajoZb8/8xuoYSPrnaL1f+5eq9JM9S4i7NVQKleZ2vDsG+3ggP9FZBXkbW3aGkj4g6F+MSz8OFko975tHiOhk5bkjQzY9J3NMuApgf0+KhGmVuGM2Xr2tJvlblJd29LbdqX+v4rVWANf+6xFLzPtoYBqW6TAadpURexVtz3G24Lxeyfb09G6rZdNq+t041aQ3y1Zq2Skxm3CUie8dnu4506/V6bNmyBXPmzLE85unpifHjx2PdunUtfo88LiPjTcnI+JkJ9qpVq9RIeXh4OC6//HI8/fTTiIyMtNK/hByVuUxcGrIRERG5K0k8tTni1h3BJyIiB0u6i4qKYDAYEBsb2+xxub9///4Wv0fmfbf0fHm8aWn5jTfeiLS0NBw5cgR/+tOfMHnyZJWw63RnB5ra2lq1Nb1iQUREREREROT0c7qtYdq0aZb9/v37Y8CAAejatasa/R43btxZz5f54U8++aSNj5KIiIiIiIhcnV3bM0ZFRamR5/z8/GaPy/24uLgWv0ceb8/zRXp6uvpZhw8fbvHrUt4udfjmLTs7u0P/HiIiIiIiIiKHSbp9fHwwZMgQrFixwvKYNFKT+6NGjWrxe+Txps8X33//favPFydOnEBxcTHi4+Nb/Lp0NpeJ7003IiIiIiIiogtl94UIpSnaG2+8odbV3rdvH+69917VnXzWrFnq69OnT2/WaO2hhx5S623//e9/V/O+n3jiCWzevBkPPPCA+npFRQX+8Ic/YP369Wodb0nQr7vuOnTr1k01XCMiIiIiIiJymzndsgRYYWEh5s6dq5qhydJfklSbm6VlZWWpjuZmo0ePVmtz/+Uvf1EN0rp37646l5vX6JZy9Z07d6okXpYNS0hIwIQJE/DUU09xrW4iIiIiIiJyr3W6HRHXQyUiIkfCuMTzQEREzhuf7V5eTkREREREROSqmHQTERERERERWQmTbiIiIiIiIiIrYdJNRERERERE5Krdyx2RubecTIwnIiKyN3M8cvfep4zPRETkjPGZSXcLysvL1W1ycrI13hsiIqIOxyfpkuquGJ+JiMgZ4zOXDGuB0WhETk4OgoOD4eHhccFXPyR5z87OPmcbeeocPN+2w3PNc+2KHPX3Wq6gS0BPSEiAp6f7zgxjfHZejvr/liviuea5dlVlDvh3pK3xmSPdLZATlpSU1KlviPxiOMovhzvg+ea5dkX8vXbvc+3OI9xmjM/OzxH/33JVPNc8164qxMH+jrQlPrvv5XIiIiIiIiIiK2PSTURERERERGQlTLqtzNfXF/PmzVO3ZH0837bDc81z7Yr4e+0++F7zfLsq/m7zXLsqXyfOq9hIjYiIiIiIiMhKONJNREREREREZCVMuomIiIiIiIishEk3ERERERERkZUw6bayBQsWIDU1FX5+fhgxYgQ2btxo7R/p8p544gl4eHg023r16mX5ek1NDe6//35ERkYiKCgIU6ZMQX5+vl2P2Vn8/PPPuOaaa5CQkKDO62effdbs6yaTCXPnzkV8fDz8/f0xfvx4HDp0qNlzTp06hdtuu02tnxgWFoa77roLFRUVNv6XuMb5njlz5lm/65MmTWr2HJ7v85s/fz6GDRuG4OBgxMTE4Prrr8eBAweaPactfzeysrJw1VVXISAgQL3OH/7wB9TX11/AbwDZE+Nz52N8th7GZ9tifLaN+W4Un5l0W9GyZcvwyCOPqC57W7duxcCBAzFx4kQUFBRY88e6hb59+yI3N9eyrVmzxvK13/3ud/jf//6HDz/8ED/99BNycnJw44032vV4nUVlZaX6PZUPoy15/vnn8corr2DhwoXYsGEDAgMD1e+0/EE0k4R7z549+P777/Hll1+qwHXPPffY8F/hOudbSJLd9Hf9v//9b7Ov83yfn/wdkIC9fv169XtZV1eHCRMmqPPf1r8bBoNBBXS9Xo9ffvkFb731FpYsWaIuQpHzYXy2HsZn62B8ti3GZ9v4yZ3is4msZvjw4ab777/fct9gMJgSEhJM8+fP51m/APPmzTMNHDiwxa+VlJSYvL29TR9++KHlsX379pnkV33dunU87+0g5+zTTz+13Dcajaa4uDjTCy+80Ox8+/r6mv773/+q+3v37lXft2nTJstzvvnmG5OHh4fp5MmTPP/tON9ixowZpuuuu67V7+H57piCggJ1vn/66ac2/934+uuvTZ6enqa8vDzLc15//XVTSEiIqba2lr/bTobx2ToYn22D8dm2GJ9tp8CF4zNHuq1ErrZs2bJFld+aeXp6qvvr1q2z1o91G1LSLCW56enpaqRPykqEnHO5Stb0vEvpeUpKCs/7BcrMzEReXl6zcxsaGqqmTZh/p+VWSsqHDh1qeY48X373ZWSc2m/VqlWqVKpnz5649957UVxcbPkaz3fHlJaWqtuIiIg2/92Q2/79+yM2NtbyHKnyKCsrU5Ud5DwYn62L8dn2GJ/tg/G585W6cHxm0m0lRUVFqtyh6S+AkPuSuFDHSZInZSPLly/H66+/roLN2LFjUV5ers6tj4+PSvx43juX+ff2XL/TcisJYlNeXl7qjyd/79tPSsvffvttrFixAs8995wqq5o8ebL628Lz3TFGoxEPP/wwLrroIvTr189yHs/3d0NuW/rdN3+NnAfjs/UwPtsH47PtMT53PqOLx2cvex8AUXtJ0mE2YMAAFeS7dOmCDz74QDX3InIV06ZNs+zLVVz5fe/atau6uj5u3Di7Hpuzkrlju3fvbtYHgog6B+MzuQvG5853v4vHZ450W0lUVBR0Ot1Z3fXkflxcnLV+rFuSq189evTA4cOH1bmV0sGSkpJmz+F5v3Dm39tz/U7L7ZmNAqV7pHTY5u/9hZPpFPK3RX7Xeb7b74EHHlDN/X788UckJSVZHm/L3w25bel33/w1ch6Mz7bD+GwbjM/2x/h8YR5wg/jMpNtKpBRiyJAhqiy0admE3B81apS1fqxbkuWojhw5opaxknPu7e3d7LzL0gMy55vn/cKkpaWpP15Nz63Ml5G52uZzK7fyh1Hm4JitXLlS/e5LRQJdmBMnTqg53fK7zvPddtIHRwL6p59+qn4f5Xe5qbb83ZDbXbt2NbuoJJ1WZWm8Pn368FfbiTA+2w7js20wPtsf43PHmNwpPtu7k5srW7p0qersvGTJEtVl+J577jGFhYU1665H7ff73//etGrVKlNmZqZp7dq1pvHjx5uioqJUx0Pxm9/8xpSSkmJauXKlafPmzaZRo0apjc6vvLzctG3bNrXJn4eXXnpJ7R8/flx9/dlnn1W/w59//rlp586dqrN2Wlqaqbq62vIakyZNMg0aNMi0YcMG05o1a0zdu3c33XLLLTz97Tzf8rVHH31UdeeU3/UffvjBNHjwYHU+a2pqeL7b4d577zWFhoaqvxu5ubmWraqqyvKc8/3dqK+vN/Xr1880YcIE0/bt203Lly83RUdHm+bMmcPfbSfE+GwdjM/Ww/hsW4zPtnGvG8VnJt1W9uqrr6pfFB8fH7VEyfr16639I13e1KlTTfHx8eqcJiYmqvuHDx+2fF0SwPvuu88UHh5uCggIMN1www3qf2A6vx9//FElf2dusnSVedmwxx9/3BQbG6suKI0bN8504MCBZq9RXFyskuygoCC1XMOsWbNU8KL2nW8JOBJAJHDIchldunQxzZ49+6yLdjzf59fSOZZt8eLF7fq7cezYMdPkyZNN/v7+6kKfJBh1dXX81XZSjM+dj/HZehifbYvx2TbgRvHZQ/5j79F2IiIiIiIiIlfEOd1EREREREREVsKkm4iIiIiIiMhKmHQTERERERERWQmTbiIiIiIiIiIrYdJNREREREREZCVMuomIiIiIiIishEk3ERERERERkZUw6SYiIiIiIiKyEibdRERERERERFbCpJuIzmnmzJnw8PBQm7e3N2JjY3HFFVdg0aJFMBqNPHtERER2wPhM5DyYdBPReU2aNAm5ubk4duwYvvnmG1x22WV46KGHcPXVV6O+vp5nkIiIyA4Yn4mcA5NuIjovX19fxMXFITExEYMHD8af/vQnfP755yoBX7JkiXrOSy+9hP79+yMwMBDJycm47777UFFRob5WWVmJkJAQfPTRR81e97PPPlPPLy8vh16vxwMPPID4+Hj4+fmhS5cumD9/Pt8dIiIixmcip8akm4g65PLLL8fAgQPxySefaH9MPD3xyiuvYM+ePXjrrbewcuVK/PGPf1Rfk8R62rRpWLx4cbPXkPs33XQTgoOD1fd+8cUX+OCDD3DgwAG89957SE1N5btDRETE+Ezk1LzsfQBE5Lx69eqFnTt3qv2HH37Y8rgky08//TR+85vf4LXXXlOP3X333Rg9erQqU5fR7IKCAnz99df44Ycf1NezsrLQvXt3jBkzRs0fl5FuIiIiYnwmcnYc6SaiDjOZTCpBFpI8jxs3TpWgy8j1HXfcgeLiYlRVVamvDx8+HH379lWj4OLdd99VifXFF19saQizfft29OzZE7/97W/x3Xff8Z0hIiJifCZyeky6iajD9u3bh7S0NNVgTZqqDRgwAB9//DG2bNmCBQsWqOfIXG0zGe02zwGX0vJZs2ZZknaZK56ZmYmnnnoK1dXVuPnmm1XpORERETE+EzkzJt1E1CEyZ3vXrl2YMmWKSrJl+bC///3vGDlyJHr06IGcnJyzvuf222/H8ePH1fztvXv3YsaMGc2+Ls3Wpk6dijfeeAPLli1TCfypU6f4DhERETE+EzktzukmovOqra1FXl4eDAYD8vPzsXz5ctVZXEa3p0+fjt27d6Ourg6vvvoqrrnmGqxduxYLFy4863XCw8Nx44034g9/+AMmTJiApKQky9ek+7nM9R40aJBqyvbhhx+qjulhYWF8h4iIiBifiZwWR7qJ6LwkyZaEWBqkyZqgP/74oxqtlmXDdDqd6mIuSfNzzz2Hfv36qc7jrS33ddddd6mS8zvvvLPZ4zIP/Pnnn8fQoUMxbNgwVbIujdYkASciIiLGZyJn5WGSTkhERDbyzjvv4He/+50qP/fx8eF5JyIicgCMz0TWw/JyIrIJ6WIuy4U9++yz+PWvf82Em4iIyAEwPhNZH+s2icgmpHRc1vWWedpz5szhWSciInIAjM9E1sfyciIiIiIiIiIr4Ug3ERERERERkZUw6SYiIiIiIiKyEibdRERERERERFbCpJuIiIiIiIjISph0ExEREREREVkJk24iIiIiIiIiK2HSTURERERERGQlTLqJiIiIiIiIrIRJNxERERERERGs4/8DO80/T6UpU4UAAAAASUVORK5CYII=",
+      "text/plain": [
+       "<Figure size 1000x400 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "clt.plot_metapop_epi_metrics(flu_demo_model)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "id": "27d96687",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.34\n",
+      "0.354\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Print the %population exposed for east and west Austin,\n",
+    "# knowing that some individuals are exposed twice since have R to S, many protected by immunity, but possibly not all\n",
+    "print(round(np.sum(np.asarray(east.transition_variables.S_to_E.history_vals_list))/NumIndiv_east,3))\n",
+    "print(round(np.sum(np.asarray(west.transition_variables.S_to_E.history_vals_list))/NumIndiv_west,3))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "id": "c9415928",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "691\n",
+      "1211\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Print the per capita number of hospitalizations for east and west Austin\n",
+    "east_IS_to_H = np.asarray(east.transition_variables.ISH_to_HR.history_vals_list) + \\\n",
+    "    np.asarray(east.transition_variables.ISH_to_HD.history_vals_list)\n",
+    "west_IS_to_H = np.asarray(west.transition_variables.ISH_to_HR.history_vals_list) + \\\n",
+    "    np.asarray(west.transition_variables.ISH_to_HD.history_vals_list)\n",
+    "eastHosp = round(np.sum(east_IS_to_H)/NumIndiv_east*100000)\n",
+    "westHosp = round(np.sum(west_IS_to_H)/NumIndiv_west*100000)\n",
+    "eastHosp = round(np.sum(east_IS_to_H))\n",
+    "westHosp = round(np.sum(west_IS_to_H))\n",
+    "print(eastHosp)\n",
+    "print(westHosp)\n",
+    "# Cumulative hospitalizations was 284 in West and 315 in East"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "id": "d82f03ea",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "98\n",
+      "98\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Timing of hospitalization peak, first for East\n",
+    "# First need to sum over all \"H\" compartments\n",
+    "hospit_compartment_names = [name for name in east.compartments.keys() if \"H\" in name]\n",
+    "hospit_compartments_history = [east.compartments[compartment_name].history_vals_list for compartment_name in hospit_compartment_names]\n",
+    "total_hospitE = np.sum(np.asarray(hospit_compartments_history), axis=(0, 2, 3))\n",
+    "print(np.argmax(total_hospitE))\n",
+    "\n",
+    "# then for West\n",
+    "hospit_compartment_names = [name for name in west.compartments.keys() if \"H\" in name]\n",
+    "hospit_compartments_history = [west.compartments[compartment_name].history_vals_list for compartment_name in hospit_compartment_names]\n",
+    "total_hospitW = np.sum(np.asarray(hospit_compartments_history), axis=(0, 2, 3))\n",
+    "print(np.argmax(total_hospitW))\n",
+    "\n",
+    "# Peak hospitalizations was 11 in West on 1/27/25 and 10 in East on 1/28/25"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "id": "9f84f62e",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "96\n",
+      "96\n",
+      "96\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Timing of infected peak, first for East\n",
+    "# First need to sum over all \"I\" compartments\n",
+    "infected_compartment_names = [name for name in east.compartments.keys() if \"I\" in name or \"H\" in name]\n",
+    "infected_compartments_history = [east.compartments[compartment_name].history_vals_list for compartment_name in infected_compartment_names]\n",
+    "total_infectedE = np.sum(np.asarray(infected_compartments_history), axis=(0, 2, 3))\n",
+    "print(np.argmax(total_infectedE))\n",
+    "\n",
+    "# then for West\n",
+    "infected_compartment_names = [name for name in west.compartments.keys() if \"I\" in name or \"H\" in name]\n",
+    "infected_compartments_history = [west.compartments[compartment_name].history_vals_list for compartment_name in infected_compartment_names]\n",
+    "total_infectedW = np.sum(np.asarray(infected_compartments_history), axis=(0, 2, 3))\n",
+    "print(np.argmax(total_infectedW))\n",
+    "\n",
+    "# and finally total\n",
+    "total_infected = np.asarray(total_infectedE+total_infectedW)\n",
+    "print(np.argmax(total_infectedW))\n",
+    "# Peak infection usually occurs ~2 weeks prior.\n",
+    "# [Comparing peak ILI and peak in hospitalizations: https://www.cdc.gov/flu/whats-new/flu-summary-2023-2024.html]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "id": "9185136a",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "39.0\n"
+     ]
+    }
+   ],
+   "source": [
+    "## Total number of deaths is the number at the end (so last element in the array [-1]), since no one leaves death compartment\n",
+    "## Then sum across all age groups\n",
+    "Deaths = np.sum(np.asarray(east.compartments.D.history_vals_list)[-1])\n",
+    "print(round(Deaths,0))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "id": "0e49b6d6",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.9\n",
+      "0.9\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Print the % of recovered that become susceptible again for east and west Austin\n",
+    "# It's the same since this is just based on rates of being recovered and going to susceptible, \n",
+    "#    which is same in two subpopulations\n",
+    "numRtoS_east = np.sum(np.asarray(east.transition_variables.R_to_S.history_vals_list))\n",
+    "numIAtoR_east = np.sum(np.asarray((east.transition_variables.IA_to_R.history_vals_list)))\n",
+    "numISRtoR_east = np.sum(np.asarray((east.transition_variables.ISR_to_R.history_vals_list)))\n",
+    "numHRtoR_east = np.sum(np.asarray((east.transition_variables.HR_to_R.history_vals_list)))\n",
+    "numR_east = numIAtoR_east + numISRtoR_east + numHRtoR_east\n",
+    "print(round(numRtoS_east/numR_east,2))\n",
+    "\n",
+    "numRtoS_west = np.sum(np.asarray(east.transition_variables.R_to_S.history_vals_list))\n",
+    "numIAtoR_west = np.sum(np.asarray((east.transition_variables.IA_to_R.history_vals_list)))\n",
+    "numISRtoR_west = np.sum(np.asarray((east.transition_variables.ISR_to_R.history_vals_list)))\n",
+    "numHRtoR_west = np.sum(np.asarray((east.transition_variables.HR_to_R.history_vals_list)))\n",
+    "numR_west = numIAtoR_west + numISRtoR_west + numHRtoR_west\n",
+    "print(round(numRtoS_west/numR_west,2))\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "de2150aa",
+   "metadata": {},
+   "source": [
+    "Printing Results to File"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "id": "575a4a09",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "## Print to file the value of M over time in East and West -- changing all M to MV would do the same for MV\n",
+    "## First line sums across risk group, so end up with array that just varies over age and time\n",
+    "#M_West = np.sum(np.asarray(west.epi_metrics.M.history_vals_list), axis=(2))\n",
+    "#MV_West = np.sum(np.asarray(west.epi_metrics.MV.history_vals_list), axis=(2))\n",
+    "#np.savetxt('M.csv', M_West,'%1.3f',',')\n",
+    "#np.savetxt('MV.csv', MV_West,'%1.3f',',')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "id": "3f7c0559",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "## Print to file number of infected over time across all age groups\n",
+    "#np.savetxt('I_E.csv', total_infectedE,'%1.3f',',')\n",
+    "#np.savetxt('I_W.csv', total_infectedW,'%1.3f',',')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "id": "c72badea",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "## Print to file the total number of recovered in west and the number of transitions from R to S (could extend to get east also)\n",
+    "## First line sums across risk group, so end with time x age matrix.  Need a 2D array for np.savetxt\n",
+    "## to get total_RtoS, sum across age and risk group, so end up with array that just varies over time\n",
+    "#RecoveredW = np.sum(np.asarray(west.compartments.R.history_vals_list), axis=(2))\n",
+    "#total_RtoS = np.sum(np.asarray(west.transition_variables.R_to_S.history_vals_list), axis=(2))\n",
+    "#np.savetxt('numRtoS.csv', total_RtoS,'%1.3f',',')\n",
+    "#np.savetxt('Recovered_west.csv', RecoveredW, '%1.3f',',')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "id": "fab47835",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "## Print to file the total number of exposed over time, this time preserving different age groups\n",
+    "## First line sums across risk group, so end with time x age matrix.  Need a 2D array for np.savetxt\n",
+    "#ExposedW = np.sum(np.asarray(west.transition_variables.S_to_E.history_vals_list), axis=(2))\n",
+    "#np.savetxt('Exposed.csv', ExposedW, '%1.0f', ',')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "id": "0fd4db33",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "## Print to file the total number of deaths over time, this time preserving different age groups\n",
+    "## First line sums across risk group, so end with time x age matrix.  Need a 2D array for np.savetxt\n",
+    "#DeathsW = np.sum(np.asarray(west.compartments.D.history_vals_list), axis=(2))\n",
+    "#np.savetxt('Deaths.csv', DeathsW, '%1.0f', ',')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "id": "b92842c7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "## Print to file the total number of deaths over time, this time preserving different age groups\n",
+    "## First line sums across risk group, so end with time x age matrix.  Need a 2D array for np.savetxt\n",
+    "#SusceptibleW = np.sum(np.asarray(west.compartments.S.history_vals_list), axis=(2))\n",
+    "#np.savetxt('Susceptible.csv', SusceptibleW, '%1.0f', ',')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "id": "1bd8ef95",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "## Print to file the total number of deaths over time, this time preserving different age groups\n",
+    "## First line sums across risk group, so end with time x age matrix.  Need a 2D array for np.savetxt\n",
+    "#num_west1 = np.sum(np.asarray(west.transition_variables.ISH_to_HR.history_vals_list), axis=(2))\n",
+    "#num_west2 = np.sum(np.asarray(west.transition_variables.ISH_to_HD.history_vals_list), axis=(2))\n",
+    "#num_west = num_west1 + num_west2\n",
+    "#np.savetxt('ISH_to_H.csv', num_west, '%1.3f', ',')"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/flu_instances/examples/flu_demo_2popAustin_2023_2024.ipynb b/flu_instances/examples/flu_demo_2popAustin_2023_2024.ipynb
deleted file mode 100644
index 8b85f27..0000000
--- a/flu_instances/examples/flu_demo_2popAustin_2023_2024.ipynb
+++ /dev/null
@@ -1,682 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "42ab1932-d72e-45f2-b27e-c628c62d08a1",
-   "metadata": {},
-   "source": [
-    "# Overview"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "5884588d-2b40-45ff-adcd-94dfd0fc0463",
-   "metadata": {},
-   "source": [
-    "Simple demo with flu model with \"toy\" (not necessarily realistic or finalized) parameters\n",
-    "\n",
-    "We go over\n",
-    "- How to set up subpopulation models and metapopulation models.\n",
-    "- How to run accept-reject algorithm.\n",
-    "- How to run experiments to organize output of multiple replications. "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "01e5a95f-6833-4723-b369-e03eb1f64025",
-   "metadata": {},
-   "source": [
-    "# Imports"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "8948cfc7-d6fa-45b3-b98d-c7f81379ceec",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Misc: suppress SSE4.2 deprecation warnings\n",
-    "# This is not an error, just a warning about future hardware compatibility (not relevant in general)\n",
-    "import os\n",
-    "os.environ[\"MKL_DEBUG_CPU_TYPE\"] = \"5\" \n",
-    "\n",
-    "from pathlib import Path\n",
-    "import numpy as np\n",
-    "import pandas as pd\n",
-    "\n",
-    "# Import city-level transmission base components module\n",
-    "import clt_toolkit as clt\n",
-    "\n",
-    "# Import flu model module, which contains customized subclasses\n",
-    "import flu_core as flu\n",
-    "\n",
-    "# Import immunity module, which contains some nice graphing functions\n",
-    "#import toy_immunity_core as imm\n",
-    "\n",
-    "import json"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "71a20de2-2c0a-4d20-bcf6-af57f2a8a30f",
-   "metadata": {},
-   "source": [
-    "# Reading Input Files"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "00b59007-7bde-4453-b6bd-943e7ad2e6b8",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Note that this can be cumbersome due to the complexity of the model \n",
-    "# Users may prefer to create the model inputs or even the models themselves in a separate .py file and import them! \n",
-    "\n",
-    "# Obtain path to folder with JSON input files\n",
-    "base_path = clt.utils.PROJECT_ROOT / \"flu_instances\" / \"austin_input_files_2023_2024\"\n",
-    "\n",
-    "# Get filepaths for east subpopulation\n",
-    "east_compartments_epi_metrics_init_vals_filepath = base_path / \"init_vals_east.json\"\n",
-    "\n",
-    "\n",
-    "# Read in files as dictionaries and dataframes for east subpopulation\n",
-    "# Note that we can also create these dictionaries directly\n",
-    "#   rather than reading from a predefined input data file.\n",
-    "east_state = clt.make_dataclass_from_json(east_compartments_epi_metrics_init_vals_filepath,\n",
-    "                                     flu.FluSubpopState)\n",
-    "east_vaccines_df = pd.read_csv(base_path / \"daily_vaccines_East.csv\", index_col=0)\n",
-    "east_calendar_df = pd.read_csv(base_path / \"school_work_calendar_austin_East.csv\", index_col=0)\n",
-    "\n",
-    "# Get filepaths for west subpopulation\n",
-    "west_compartments_epi_metrics_init_vals_filepath = base_path / \"init_vals_west.json\"\n",
-    "\n",
-    "# Read in files as dictionaries and dataframes for west subpopulation\n",
-    "# Note that we can also create these dictionaries directly\n",
-    "#   rather than reading from a predefined input data file.\n",
-    "west_state = clt.make_dataclass_from_json(west_compartments_epi_metrics_init_vals_filepath,\n",
-    "                                     flu.FluSubpopState)\n",
-    "west_vaccines_df = pd.read_csv(base_path / \"daily_vaccines_West.csv\", index_col=0)\n",
-    "west_calendar_df = pd.read_csv(base_path / \"school_work_calendar_austin_West.csv\", index_col=0)\n",
-    "\n",
-    "# Get filepaths for files shared across subpopulations\n",
-    "subpop_params_filepath = base_path / \"common_subpop_params.json\"\n",
-    "mixing_params_filepath = base_path / \"mixing_params.json\"\n",
-    "simulation_settings_filepath = base_path / \"simulation_settings.json\"\n",
-    "\n",
-    "humidity_df = pd.read_csv(base_path / \"absolute_humidity_austin.csv\", index_col=0)\n",
-    "mobility_modifier_df = pd.read_csv(base_path / \"mobility_modifier.csv\", index_col=0)\n",
-    "\n",
-    "# Read in files as dictionaries and dataframes for files shared across subpopulations\n",
-    "# Note that we can also create these dictionaries directly\n",
-    "#   rather than reading from a predefined input data file.\n",
-    "params = clt.make_dataclass_from_json(subpop_params_filepath, flu.FluSubpopParams)\n",
-    "mixing_params = clt.make_dataclass_from_json(mixing_params_filepath, flu.FluMixingParams)\n",
-    "settings = clt.make_dataclass_from_json(simulation_settings_filepath, flu.SimulationSettings)\n",
-    "\n",
-    "# Set the schedules for each subpopulation\n",
-    "east_schedules_info = flu.FluSubpopSchedules(absolute_humidity=humidity_df,\n",
-    "                                        flu_contact_matrix=east_calendar_df,\n",
-    "                                        daily_vaccines=east_vaccines_df,\n",
-    "                                        mobility_modifier=mobility_modifier_df)\n",
-    "west_schedules_info = flu.FluSubpopSchedules(absolute_humidity=humidity_df,\n",
-    "                                        flu_contact_matrix=west_calendar_df,\n",
-    "                                        daily_vaccines=west_vaccines_df,\n",
-    "                                        mobility_modifier=mobility_modifier_df)\n",
-    "\n",
-    "# Create two independent bit generators\n",
-    "bit_generator = np.random.MT19937(88888)\n",
-    "jumped_bit_generator = bit_generator.jumped(1)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "d1ab0b6c-6e75-4473-9e86-dac59e2d44fe",
-   "metadata": {},
-   "source": [
-    "# Creating Subpopulation Models"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "id": "9b601dd8-4d09-4bbb-a1e9-3b7d689b48fe",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/susan/Pycharm/CLT_BaseModel/flu_core/flu_components.py:497: UserWarning: Vaccine immunity reset date is set as 07/30. \n",
-      "Initial vaccine-induced immunity value is being adjusted by resetting immunity to 0 at that date, and by taking into account vaccines administered after this date, and before simulation start date.\n",
-      "  warnings.warn(msg)\n",
-      "/Users/susan/Pycharm/CLT_BaseModel/flu_core/flu_components.py:497: UserWarning: Vaccine immunity reset date is set as 07/30. \n",
-      "Initial vaccine-induced immunity value is being adjusted by resetting immunity to 0 at that date, and by taking into account vaccines administered after this date, and before simulation start date.\n",
-      "  warnings.warn(msg)\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Create two subpopulation models, one for the east\n",
-    "#   side of the city and one for the west side of the city\n",
-    "# In this case, these two (toy) subpopulations have the\n",
-    "#   same demographics, initial compartment and epi metric values,\n",
-    "#   fixed parameters, and school-work calendar.\n",
-    "# If we wanted the \"east\" subpopulation and \"west\"\n",
-    "#   subpopulation to have different aforementioned values,\n",
-    "#   we could read in two separate sets of files -- one\n",
-    "#   for each subpopulation.\n",
-    "east = flu.FluSubpopModel(east_state,\n",
-    "                           params,\n",
-    "                           settings,\n",
-    "                           np.random.Generator(bit_generator),\n",
-    "                           east_schedules_info,\n",
-    "                           name=\"east\")\n",
-    "\n",
-    "west = flu.FluSubpopModel(west_state,\n",
-    "                           params,\n",
-    "                           settings,\n",
-    "                           np.random.Generator(jumped_bit_generator),\n",
-    "                           west_schedules_info,\n",
-    "                           name=\"west\")\n",
-    "\n",
-    "# If a metapopulation model has N subpopulations that have most of their parameters in common,\n",
-    "#    users can make a JSON file with common parameters, and N smaller JSON files with\n",
-    "#    parameters that are specific to each subpopulation.\n",
-    "# We recommend using `clt_toolkit / utils` functions `updated_dataclass()` and `updated_dict()` for this."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "ff3d3a32",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "484568.0\n",
-      "672796.0\n"
-     ]
-    }
-   ],
-   "source": [
-    "## Determine the total number of individuals in each subpopulation to compute per capita statistics\n",
-    "NumIndiv_east = np.sum(east.params.total_pop_age_risk)\n",
-    "NumIndiv_west = np.sum(west.params.total_pop_age_risk)\n",
-    "print (NumIndiv_east)\n",
-    "print (NumIndiv_west)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "9a4aabdc-9883-4e45-a371-199b7145de25",
-   "metadata": {},
-   "source": [
-    "# Modifying Parameters"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "id": "a78193bf-7989-4779-91ab-5772771f7375",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "0.031\n",
-      "0.031\n"
-     ]
-    }
-   ],
-   "source": [
-    "# We can also manually change a fixed parameter value\n",
-    "#   after we have created a SubpopModel -- like so...\n",
-    "# Note that this is quite a large and unrealistic value of\n",
-    "#   beta_baseline, but we'll use this to create\n",
-    "#   a dramatic difference between the two subpopulations.\n",
-    "#east.params = clt.updated_dataclass(east.params, {\"beta_baseline\": 0.031})\n",
-    "#west.params = clt.updated_dataclass(east.params, {\"beta_baseline\": 0.031})\n",
-    "\n",
-    "# The structure of the code allows us to access\n",
-    "#   the current state and fixed parameters of each\n",
-    "#   subpopulation model.\n",
-    "# For example, here we print out the fixed parameter\n",
-    "#   value for beta_baseline for the \"west\" subpopulation.\n",
-    "print(east.params.beta_baseline)\n",
-    "print(west.params.beta_baseline)\n",
-    "#print(west.state.MV)\n",
-    "#print(east.state.MV)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "eef0842e-bab0-4be0-a65a-9f48b7e6cfa9",
-   "metadata": {},
-   "source": [
-    "# Create Metapopulation Model"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "id": "f44aa524-3dc7-4010-9863-f0fc5b89585e",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Combine two subpopulations into one metapopulation model (travel model)\n",
-    "flu_demo_model = flu.FluMetapopModel([east, west],\n",
-    "                                     mixing_params)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "f7a1c0e4-76e4-4d89-ab43-a8d67776cbec",
-   "metadata": {},
-   "source": [
-    "# Simulation and Analysis"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "id": "b3aa79bb-11df-47fc-b581-70849b26ca1a",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "0 2023-08-14\n",
-      "150 2024-01-11\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Get the current real date of the simulation and the\n",
-    "#   current simulation day\n",
-    "print(flu_demo_model.current_simulation_day, flu_demo_model.current_real_date)\n",
-    "\n",
-    "# Simulate for a given number of days\n",
-    "flu_demo_model.simulate_until_day(150)\n",
-    "\n",
-    "# Get the current real date of the simulation and the\n",
-    "#   current simulation day\n",
-    "print(flu_demo_model.current_simulation_day, flu_demo_model.current_real_date)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "id": "5c0e8cf6-8f53-485f-9bcd-84da258d8fc6",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1000x400 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Generate simple compartment history plot for flu model\n",
-    "clt.plot_metapop_basic_compartment_history(flu_demo_model)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "id": "a63278ef",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1000x400 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "clt.plot_metapop_total_infected(flu_demo_model)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "id": "97e9edf4",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 1000x400 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "clt.plot_metapop_TransitionVariable(flu_demo_model)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "id": "41c5c693",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1000x400 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "clt.plot_metapop_total_deaths(flu_demo_model)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "id": "44a27269",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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BKg729NNPq8/ctWuXQ6YnkXHV9enmbaQrr7xSjcmTY5dzQ0TksorygJQtwPFN2jgw67FfUvQsphsQ3UXrmsbu4g3Cz88PiYmJWLZsGUaMGKG2yThtWddv6J6LdE/fvn07rr76ajgK4zMRkcE3wk9sAk5s1gqgWZMiZyo+d9bisxOPx3aLpLs+1U8lUEsRMBnntWrVKtWabd3KLYn7U089pVrAxUcffaTGmUlr+KhRoxrpmzk3aaHYvXu35TkRkUspLdLmyz6+URsDZn3HPDwBaN4TiO2uVRcnh5Ab5mPHjkXfvn1V7zSJvfn5+ZZ4PmbMGMTHx6tx2eLZZ5/FhRdeiPbt26u4LT3cpLbIXXfdxV/ICuMzEbl81/HUbdqNcOlxZn0jvElrLTbH9gRCouBJfFyx+qkEbmkFnzBhgkq6rR06dEh1U5fP0IWHh6tWdPlMJt2286USEblUMTRpyT66VrtrXlZc+ZoUVYlPBJr3cstuac5o5MiRyMjIwLRp01Tc7dWrF5YsWWIprpacnKxiuu706dPqJrvs26RJE9VS/vvvv6NLl8YfnuXsGJ+JyOXisyTYyX9oCXd5qW2iHZ8IxPYAAiPgqXxcrfrp6tWr8cEHH2DLli01vi7BXP+Mqp+pv9bQU5K4CimcdjbW4+KJiJyqe9qx9Vowz0+3LbTSoi8Q1wcItf03nxqHdCWvrTt51Rkx/vnPf6qFqmN8JiKXVHAKOLpOuxl+5lTl9pDYyvgc3MzII3Qahncvt0dubi7uuOMOVSCtIattn++UJERE5IC75qcPAYf+B6Rsrew+7u2nBfGWSUCTNjJol6eeiIiosUh8lhlBDq/Wqo/r3cd9ArVEO6G/NsyL8dl5km57q58eOHBAFVC79tprLdukcIvw8fFRxdf098lnNG/e3OYzpetbTTxtShIiIqdVVqKNA5NkO+dY5XaZl7PlhVrC7dvwBTGJiIjoLEoKtRZtSbate53J1JsSn6WWiovNne0xSbe91U87deqkKp1ak4Jp0gL+5ptvqkRZpiCRxFs+Q0+yJYleu3Yt7r33XodMSUJEROepKBc4tAo48lvlfNomX20cWJvB2phtIiIiavwu5AdXaEO8yooqp/iSFu3Wg4GQ2mebIifqXm5P9VOZ7qtbt24274+I0AbkW2+fPHkynn/+eTUvtz5lWFxcnCWxJyIiJ5F/Eji4XAvm5SXatsAmQOtBQMsBgF+w0UdIRETkebKPAwd+1ab80od4yVhtic8t+rHXmasl3fZWP62LRx99VCXud999t5qWZNCgQeozHTFHNxER1UPOCWD/L1oVcj2Yyxiw9pdpU4nY+e8+ERERNYCTB7T4nL6rclvkBUC7y4CojhyrXU9eZpnYmmxId3SZZiw7O7vatB2FhYVqWjJpQWcSb4vnhojOKScF+HMJkGI1A0VUJy2YR3ZgMK9HXPIkjM/1xxhNROdMtiU+q7m1hRcQ1wtodykQ0ZIn7zzjs+Et3URE5AFy07RgLi3beqVTmVO7/VAggoUriYiIDHHqILBXku292rqXt1YYTZLt4IabLcrTMekmIiLHFmDZ+yNwbINVst0TuOBKICyOZ56IiMgI2ceA3d8DGbu1dS8TkHAh0OFyIKgpf5MGxqSbiIgaXnEBsH+pNvVXeam2LbY7cMFVQHg8zzgREZEz3Axnst0omHQTEVHDKSsFDv8P2LcUKCmoLMDS+VqOCSMiInKmm+FxfYBOw9mNvBGwPKwHGTduHLy8vHDPPfdUe+3+++9Xr8k+1157La688soaP2PVqlVqv23btjXCERORy5CanClbgRUvAru+1RLu0OZA0j3Ahfcx4SY6C8ZnInKY8nLg0Crg1+e0KcAk4W7WARj8EJA4lgl3I2HS7WESEhKwcOFCnDlzxqai6WeffYaWLbXKhBMmTMDSpUtx7Nixau//8MMP1ZzqPXr0aNTjJiInL5L2x7vAhnlAwUkgIBzoORq4+FEgujMrkhPVAeMzETW4zP3AqteAHV9W3gzv/zdgwP28Gd7ImHR7mD59+qjAvnjxYss2eS4Jd+/evdX6Nddcg6ioKMyfP9/mvXl5efjiiy9UUk5EhJJCYOc3wMqXtKqnJh+gwxXAX57UKp9yrm0ixmcianxnTgMb5wNrZgE5xwHfYKD7LdrN8JguvBluACbdDdWtsrSo8Zd6TrF+5513qhZr3bx58zB+/HjLuo+PD8aMGaOSbutp3CXhLisrw+jRo8/zhBGRS5N/F45vApY/DxxcDpjLgZhuwCVTtbFhPv5GHyGRhvGZiDytK/n+ZcDyFyum6PQCWg0CLn0SaD2IN8MNxEJqDaGsGPjpUTS6q16p18Xt7bffjqlTp+LIkSNq/bffflNdzlesWGGTmL/66qtYuXIlLrnkErVNEvWbbrpJTQBPRB5c9XTHV0DaDm09OAroeqN255zI2TA+E5GnOH0E2PY5kFMxPLRpW6DbTUB4C6OPjJh0eybpOj58+HBLS7Y8j4yMtNmnU6dOuOiii1QruCTd+/fvV0XUnn32WcOOm4gMvnt+eBWw5wegrAjw8tbm8mx/OeDN+7dEDYHxmYjqNdRLpgCTquQyBZhvENDleiAhid3InQivlBqCt5/W6mzEn1tP0pI9adIk9Xz27Nk17iNjtx944AH1urRyt2vXDkOGDKn3n0lELionBdj6GZCVrK03aQP0HAWExhp9ZERnx/hMRO4sfTewdSFQmKWtx/cFuo4A/EONPjKqgkl3Q/DycrkxjDIlWHFxsZr+a9iwYTXuc+utt+LBBx9Ulc0/+ugj3HvvvWp/IvKg1u2DvwJ7f9KmGPEJADpfB7S6iHfPyTUwPhORu7Zu7/oGSF6jrQc10wqlyYwh5JSYdHsob29v7N692/K8JiEhIRg5cqQa/52Tk6PmESUiD5GXAWz5BDh9WFuP7gr0uBUIjDD6yIjcGuMzEZ1Vxp9a7zOpUC7aDAE6XQP41L8HLDkek24PFhYWds59pIv5Bx98gKuvvhpxcXGNclxEZHC1Zxm7ves7oLxEa92WQmkJ/dm6TdRIGJ+JqBqZuWj3f7QYrbdu9/wrENmeJ8sFMOn2IFXn3a7qm2++qbZtwIABNtOGEZEbK8wGNn+qzbktIi8Aeo4GgpoafWREbo3xmYjOKusosOkjID9dW5dpwLpc53LDWz0Zk24iIgLSdgFbPgWK8wCTrxbMWw9m6zYREZFRpOHr4HJg9/eAuQwICAd63QZEdeRv4mKYdBMRebKyUmD3d8Chldp6WDzQZwwrkxMRETlT77PYHtrMIX7B/F1cEJNuIiJPlZcObFwA5BzT1ttcrFUn9/Y1+siIiIg8V9XeZ91uBFoOYO8zF8akm4jIEx3fpM3tWVYE+IVoY7djuxl9VERERJ49VefeH4H9S7V19j5zG0y6iYg8rjv5t8Ch/2nrzdoDve/gVGBERERGKszRiqWd3KetS12VLiMAb6Zr7oC/Yj2Vy50ossEq50ROTub03Di/cu7t9kOBjsMBk8noIyNqMIzPPC9ELufkAWDjh0BRLuDtr43dju9j9FFRA2LSbSc/Pz+YTCacOHECUVFRat3LywueThLujIwMdS58fTkelMjpZPwJbFqgjQ/zCQR63wbEdjf6qIgaDONz7fG5uLhYxWi5fpHzREROVJ38wK/AHqlOXg6ENgcSxwOhMUYfGTUwJt12koDVpk0bpKSkqMSbKknC3aJFC3h7e/O0EDnVdCMrgF3fygoQ1gLoOx4IjjT6yIgaFOPz2QUFBaFly5bqPBGREygtBrb+GzixSVtv0Q/ofgvn3nZTTLrrQe4SS+AqLS1FWVlZw/8qLkpauJlwEzmRshJg2+fAsXXaeov+QI9bWZ2c3Bbjc80kNvv4+LBnHpGzKDgFrP9Amz3EywR0vRFoPYjVyd2YUyTds2fPxquvvorU1FT07NkTs2bNQv/+/Wvcd/HixXjxxRexf/9+lJSUoEOHDnjooYdwxx13WPYZN24cFixYYPO+YcOGYcmSJQ12zHo3analJiKndCYL2DAPyDoi/2IBXUcAbYYwoJPbY3wmIqeWuV8bvy3DvWT2kL53As3aGX1U5O5J96JFizBlyhTMmTMHSUlJmDlzpkqQ9+7di+jo6Gr7N23aFE8++SQ6deqk7mh///33GD9+vNpX3qe78sor8eGHH1rW/f39G+07EREZSgqlyR30ohzANwhIHAdEdeSPQkREZKTDq4EdX2njt2W4V78JQFBT/iYewPCk+4033sDEiRNV4iwk+f7hhx8wb948PP7449X2v+SSS2zWH3zwQdWqvXr1apukW5Ls2NjYRvgGRERONv/2lk+B8lIgJBbodxcQEmX0UREREXkumfVo19eV03XG9QF6jgZ8WNjQUxhaTUOqaW7cuBFDhw6tPCCTSa2vWbOmThU5ly1bplrFL774YpvXVqxYoVq/O3bsiHvvvRcnT56s9XOKioqQk5NjsxARuVzBtH1LtQrlknDHdAMG/R8TbiIiIiOVFALr/1WZcHe6Fugzhgm3hzG0pTszM1MVIouJsS2LL+t79uyp9X3Z2dmIj49XybIUB3nnnXdw+eWX23Qtv/HGG1WV8QMHDuCJJ57AVVddpRL5mgp9zZgxA88880wDfzsiokZSXqYVTDv6h7YuY7e7jOD820REREY6cxpYNxfIOQ6YfIHetwNxvfibeCDDu5fXR2hoKLZs2YK8vDzV0i1jwtu2bWvpej5q1CjLvt27d0ePHj3Qrl071fp92WWXVfu8qVOnqs/QSUt3QkJCI30bIqLzUFygFWTJ/FMrmNbtRqCNbc8fIiIiamRZR4H1c4HCbMA/FOg3EWjSij+DhzI06Y6MjFQtz2lpaTbbZf1s47GlC3r79u3V8169emH37t2qtbrqeG+dJOTyZ0nF85qSbhn/zUJrROSSd9DXvgfkpgDe/lp3tdhuRh8VERGRZ0vbBWycD5QVAaHNgf53s2CahzN0TLdUH09MTFSt1bry8nK1PmDAgDp/jrxHuprX5tixY2pMd/Pmzc/7mImInEJOCrD6n1rCHRAODPw7E24iIiKjHV2ntXBLwh3ZERj4IBNuMr57uXTrHjt2LPr27avm5pYpw/Lz8y3VzMeMGaPGb0tLtpBH2Ve6i0ui/eOPP+Ljjz/Gu+++q16XLucyPvumm25SreUypvvRRx9VLePW1c2JiFzWqYPaGLGSAq1CedLfGNCJiIiMLmi6fxmw5z/aeot+WoVyU/V6UuR5DE+6R44ciYyMDEybNg2pqamqu/iSJUssxdWSk5NVd3KdJOT33Xefar0ODAxU83V/8skn6nOEdFfftm2bmkYsKysLcXFxuOKKK/Dcc8+xCzkRub7U7cBGqVBeAjRprXVZ8ws2+qiIiIg8e0qwnYuBw6u09XaXAZ2vBby8jD4ychJeZpl3i2xIIbXw8HBVJT0sLIxnh4icQ/IfwNaFcjtdmxKsz1hOOeIhGJd4HojISZWVAps/BlK2aAVNu44A2tZcZ4o8Nz4b3tJNRER1sP8XYHdFl7WEJKDHKE4JRkREZKTSImD9B0DmXsDkA/S6DYjvw9+EqmHSTUTkzKQz0t4fgX3/1dbbDwU6XcMua0REREZP2bnufeD0IW0GkX53AVEX8DehGjHpJiJy5oR759fAoZXauowPk6SbiIiIjFOUC/wxB8g5BvgGaQVNpc4KUS2YdBMROWtRlm2LgKN/aOvdbgbaDDb6qIiIiDzbmdPAmneA/HTAPxRIuhcIjzf6qMjJGTpPNxER1aC8DNj8UUXC7aWNEWPCTU5o9uzZaN26NQICApCUlIR169bV6X0LFy6El5cXRowY4fBjJCJqMHkZwG9vagl3YBPgogeZcFOdMOkmInK2Kqgb5wMnNgNe3kDiOCChv9FHRVTNokWLMGXKFEyfPh2bNm1Cz549MWzYMKSnp5/1bB0+fBgPP/wwBg9mzw0icrGEe80sraU7OBoY+CAQEmX0UZGLYNJNRORMCfemBUDqNq0KqhRlietl9FER1eiNN97AxIkTMX78eHTp0gVz5sxBUFAQ5s2bV+sZKysrw2233YZnnnkGbdu25ZklIteQl64l3IXZQEgscNEDWks3UR0x6SYictaEO6aL0UdFVKPi4mJs3LgRQ4dWFvYzmUxqfc2aNbWetWeffRbR0dGYMGECzywRuU7C/XtFwh3aHLhoEhBQ+3zMRDVhITUiImcYw1014Y7ubPRREdUqMzNTtVrHxMTYbJf1PXv21Pie1atX44MPPsCWLVvqfGaLiorUosvJyeGvQkSNJzcNWPM2UJSjJdwD7teKpxHZiS3dRERGJ9wyhpsJN7mx3Nxc3HHHHZg7dy4iIyPr/L4ZM2YgPDzcsiQkJDj0OImILHJTtS7lKuGOY8JN54Ut3URERmHCTS5KEmdvb2+kpaXZbJf12NjYavsfOHBAFVC79tprLdvKZVo8uRDx8cHevXvRrl27au+bOnWqKtZm3dLNxJuIGifhlhbuXCAsHrjwPsA/hCee6o1JNxGREZhwkwvz8/NDYmIili1bZpn2S5JoWZ80aVK1/Tt16oTt27fbbHvqqadUC/ibb75ZayLt7++vFiKiRk24ZQx3cZ6WcEuXcr9g/gB0Xph0ExE1Nibc5AakBXrs2LHo27cv+vfvj5kzZyI/P19VMxdjxoxBfHy86iIu83h369bN5v0RERHqsep2IiJDx3BbEu4WwID7mHBTg2DSTUTUmKRL7eZPOIabXN7IkSORkZGBadOmITU1Fb169cKSJUssxdWSk5NVRXMiIpeQfxL4YzYTbnIIL7PZbHbMR7suGTMmBVuys7MRFsYpAYiogcg/t9s+B5J/B7y8OS0YMS4xPhORMziTBfz+FlBwsnIebo7hpgbMG3kLmoiosRLuXd9qCTe8gD53cB5uIiIio0mxtD/e0RLuoEitSzkTbmpgTLqJiBrDvv8CB5drz3uOBuJ687wTEREZqbgA+ONdIC8NCIjQiqYFhPM3oQbHpJuIyNEOrgD2/qg973oD0DKJ55yIiMhIJYXAuveAnOOAf6iWcAc15W9CDsGkm4jIkZL/AHZ+rT3veDXQ9hKebyIiIiOVlQDr5wKnDwO+wdo83CHR/E3IYZh0ExE5yvFNwNaF2vN2lwIdruC5JiIiMlJZKbBhHnByP+ATACT9DQiL429CDsWkm4jIEdJ2AZs/lgpqQMuLgM7XAV5ePNdERESGTtv5MZC+CzD5Av3vBpq04u9BDsekm4iooZ06qN1FN5cDcX2A7rcw4SYiIjJ6FpGdi4GULRXTdk4AmrXjb0KNgkk3EVFDyk0F1s0FykuA6K5A79sBE/+pJSIiMnwWkcOrtGk7JTZHd+YPQo2GV4JERA3lTJY29UhJAdCkNZA4DjB58/wSEREZ6cjvlbOIdLsRiO/D34M8L+mePXs2WrdujYCAACQlJWHdunW17rt48WL07dsXERERCA4ORq9evfDxxzJuspLZbMa0adPQvHlzBAYGYujQodi3b18jfBMi8ui5PtfOAQqzgOBooN9EwMfP6KMiIiLybClbgW2fa8+loGmbi40+IvJAhifdixYtwpQpUzB9+nRs2rQJPXv2xLBhw5Cenl7j/k2bNsWTTz6JNWvWYNu2bRg/frxafv75Z8s+r7zyCt566y3MmTMHa9euVcm5fGZhYWEjfjMi8qypR/4F5KYA/mHAhfcC/iFGHxUREZFnO3kA2PRRRVHTAdrUnUQG8DJLs7CBpGW7X79+ePvtt9V6eXk5EhIS8MADD+Dxxx+v02f06dMHw4cPx3PPPadauePi4vDQQw/h4YcfVq9nZ2cjJiYG8+fPx6hRo875eTk5OQgPD1fvCwsLO89vSERuXwl144dA6jZt6pGL/g6Exxt9VORmGJd4HojITtnHgd9nAaVngJhuQN8JrLFChsVnQ1u6i4uLsXHjRtX923JAJpNal5bsc5EEe9myZdi7dy8uvljrKnLo0CGkpqbafKacCEnua/vMoqIidcKsFyKiOldClYTb5KN1KWfCTUREZKyCU9qQL0m4m7atqLFieAdf8mCG/t+XmZmJsrIy1QptTdYlca6N3EkICQmBn5+fauGeNWsWLr/8cvWa/j57PnPGjBkqMdcXaWknIjqnfUttK6FGtudJIyIiMlJRrlbUtCgHCG2u3RD39uVvQoZyyVs+oaGh2LJlC9avX48XXnhBjQlfsWJFvT9v6tSpKpHXl6NHjzbo8RKRG0peC+z9obISalxvo4+IiIjIs5UWa9N25qcDgU2ApHsAvyCjj4oIPkaeg8jISHh7eyMtLc1mu6zHxsbW+j7pgt6+vdaiJNXLd+/erVqrL7nkEsv75DOkern1Z8q+NfH391cLEVGdZOwFti3Unre/nJVQiYiInKHGyuaPgawjgG8wkHQvEBhh9FERGd/SLd3DExMT1bhsnRRSk/UBAwbU+XPkPTIuW7Rp00Yl3tafKWO0pYq5PZ9JRFSjnBRgwzzAXA7E9wU6DeeJIiIiMtqub6xqrEwAQm2HmhK5XNIt82IPHDhQVQk/cuSI2jZz5kx8++23dn+WdA2fO3cuFixYoFqs7733XuTn56tpwMSYMWNU92+dtGgvXboUBw8eVPu//vrr6nhuv/129bqXlxcmT56M559/Ht999x22b9+uPkOOdcSIEfX5ukREmsLsisIshUDTdkDP0fKPDs8OuZSGjOFERE7h4Erg0Ertea+/As3aGX1EROeXdL/77rsqUb766quRlZWlCqGJiIgIFbTtNXLkSLz22muYNm2a6v4tY7WXLFliKYSWnJyMlJQUy/6SkN93333o2rWrumj46quv8Mknn+Cuu+6y7PPoo4+qKcfuvvtuNR1ZXl6e+syAgAC7j4+ISCktAta9DxRmAcHR2l10b0NH6BDB6BhORGS4lG3Azq+1552uBeITjT4iovOfp7tLly548cUXVauxFDTbunUr2rZtix07dqgx1VKR3NVxPlQiqjZObMMHQNoOwC8EGDQFCG7Gk0QuF5dcPYYzPhORjdNHtLm4y0uAlhcBPW5lDzRyj3m6ZR7s3r2rV+mVQmTSCk1E5HZkLm5JuE2+QL+7mHCTy2IMJyK3kX9S64EmCXd0F6D7LUy4yWnZnXRLoTLpAl6VdN/u3LlzQx0XEZFzOLiiYi5uaHNxN21j9BER1RtjOBG5heJ8rcZKcR4Q1gLoM1amNzL6qIhqZfeARBkLdv/996OwsBDSM33dunX497//rQqc/etf/7L344iInFfqdmDnN9rzztcBcTVPO0jkKhjDicjllZUC6z/Q5uIOiAD6TwR8WbeJ3CzploJlgYGBeOqpp1BQUIC//vWvqgLqm2++iVGjRjnmKImIGltWMrBxAQAz0Gog0O5S/gbk8hjDicilSSmqbQuBUwcAnwAg6W+ci5vcs5CaNUm6pTJ4dHQ03AkLtRB5uDNZwKrXgaIcIKoz0P9udlsjt4tLrhjDGZ+JPNy+pcCe7wEvE9D/b0B0J6OPiDxcTh3j83nNdxMUFKQWIiK3UVoMrP+XlnCHNgcSxzHhJrfEGE5ELiVlq5Zwi643MuEml+JTnyIsXl5etb5+8ODB8z0mIiJjSMefLZ8C2Ue1qcH6cZwYuRfGcCJy2SFfmz7WnrceDLQZbPQRETk26Z48ebLNeklJCTZv3qyqlz/yyCP2fhwRkfP4cwmQsgXw8gb63smpwcjtMIYTkUsO+ZIeaDI1mAz5klZuIndPuh988MEat8+ePRsbNmxoiGMiImp8xzdpSbfocSvQrB1/BXI7jOFE5JJDvgqzgZBYIJFTg5FrarAJ7a666ip89dVXDfVxRESN5/QRYMtn2vO2fwFaXsizTx6FMZyInHPI1yfakC/fYK2oqW+g0UdFZGzS/eWXX6Jp06YN9XFERI3fbS26qzYfN5GHYQwnIqez90eteJoM+eo3gUO+yLO6l/fu3dumkJrMOJaamoqMjAy88847DX18RESNV6m8zxhWKie3xhhORC7h2AZg33+15z1HccgXeV7SPWLECJt1k8mEqKgoXHLJJejUiXPlEZELdltjpXLyEIzhROT0Th0Etv5be97uMiChv9FHRNT4Sff06dPP/08lInKKSuUV3dZYqZw8BGM4ETm1glPA+g+A8lIgtjvQ+Vqjj4io8ZLunJycOn9gWFjY+RwPEZHjHd9oVal8JLutkVtjDCcil1BSCKx7HyjOA8JaAL3vAKyGtBK5fdIdERFhM467JjK2W/YpKytrqGMjInJQpfJ/W1UqT+JZJrfGGE5ELjHka/PHQG4K4B8K9L8L8PE3+qiIGkydku7ly5c33J9IRGQUmedzg3RbY6Vy8hyM4UTk9Pb8AKTtAEw+QL+JQGATo4+IqPGT7iFDhjTsn0pE1NjKSoEN87TEOySWlcrJYzCGE5FTO74J2L9Ue95zNNCkldFHRGR8ITVdQUEBkpOTUVxcbLO9R48eDXFcREQN221tx5fA6cOAbxDQ7y7AN4BnmDwWYzgROYXsY8CWz7Tn7S4FWvQ1+oiInCPplvm4x48fj59++qnG1zmmm4iczuHVQPIaAF5aC3dIlNFHRGQIxnAichpFucD6f2lDvqI6A51YqZzcl8neN0yePBlZWVlYu3YtAgMDsWTJEixYsAAdOnTAd99955ijJCKqr5MHgJ2LteedrwGiO/NcksdiDCci5xny9SFw5jQQHMUhX+T27G7p/vXXX/Htt9+ib9++MJlMaNWqFS6//HI1VdiMGTMwfPhwxxwpEVF95vuUcdzmciCuD9DuMp5D8miM4UTkFORm+KkDgE+ANuTLL8joIyJyrpbu/Px8REdHq+dNmjRRXdVE9+7dsWnTpoY/QiKi+igt1iqV6/N9SnEWzvdJHo4xnIgMd/g34Mhv2pAvmYs7NNboIyJyvqS7Y8eO2Lt3r3res2dPvPfeezh+/DjmzJmD5s2bO+IYiYjsL5y2baFWoMUvBOg3AfDx41kkj8cYTkSGD/mSwqai03Agtht/EPIIdifdDz74IFJSUtTz6dOnq4JqLVu2xFtvvYUXX3yxXgcxe/ZstG7dGgEBAUhKSsK6detq3Xfu3LkYPHiwamWXZejQodX2HzduHLy8vGyWK6+8sl7HRkQu6MCvwPGNgJcJSBwPBDU1+oiInIIjYjgRkf1DvnoD7YfyxJHHqPOY7ptvvhl33XUXbrvtNpXEisTERBw5cgR79uxRQTsyMtLuA1i0aBGmTJmiWsol4Z45cyaGDRumWtP1buzWVqxYgdGjR+Oiiy5SSfrLL7+MK664Ajt37kR8fLxlP0myP/zwQ8u6v7+/3cdGRC4ofQ+w+z/a8643AJHtjT4iIsM5KoYTEdV5yNd66yFff+WQL/IodW7pPn36tCqSJoF52rRpOHjwoNoeFBSEPn361DtYv/HGG5g4caKahqxLly4q+ZbPnDdvXo37f/rpp7jvvvvQq1cvdOrUCf/6179QXl6OZcuW2ewnSXZsbKxlkVZxInJz+ZnApgXSvxxISAJaDzb6iIicgqNiuD091RYvXqyKsEZERCA4OFjF8Y8//rje34mIXGjI19bPgBwO+SLPVeekW5JaCdITJkzAJ598oqYIu/TSS/HZZ5+hqKioXn94cXExNm7cqLqIWw7IZFLra9bInLrnVlBQgJKSEjRt2rRai7i0lMv4tXvvvRcnT56s9TPk+HNycmwWInIxJYXafJ8lBUBEK6D7rbyLTuTAGK73VJNu6lJIVeq8SE+19PT0GveXOP3kk0+q+L5t2zZ1s12Wn3/+mb8TkTvb/wtwYrM25KvvnRzyRR7JrjHdMj3YP/7xDxW4ly5diri4ONVKLQXU7r//fpVA2yMzMxNlZWWIiYmx2S7rqampdfqMxx57TB2HdeIuXcs/+ugjdZEh3c9XrlyJq666Sv1ZNZGpzsLDwy1LQkKCXd+DiJzgLvqWT4HcFMA/TAvq3nbPiEjk1ho6htvbU+2SSy7BDTfcgM6dO6Ndu3ZqfHmPHj2wevXqBvqGROR0UncAe37Qnne7GWjWzugjInKNQmo6uUMud8slOZakdeHChaprWWN66aWX1J/79ddfq65tulGjRuG6665T05iNGDEC33//PdavX69av2sydepUZGdnW5ajR4824rcgovO2779A6jbA5KMl3IERPKlEDozh59tTzWw2qxvjUr/l4osvrnU/9kQjcmG5qcBmGUJiBloNBFoPNPqIiAxzXk1Bhw4dwvz589Uiyap18K0LGUPm7e2NtLQ0m+2yLuOwz+a1115TSfcvv/yi7pSfTdu2bdWftX//flx22WXVXpfx3yy0RuSiUrcDe3/Unne/BWjaxugjInIJ5xPDz9ZTTQqz1Ub+HCl6Ksm0xP933nkHl19+ea37yw2BZ555ps7HRUROorhAG/JVWgg0bQd0vdHoIyJyrZbuwsJCdXdc7pLLmDDpxi1jxCR4L1myxK7P8vPzU9VTrYug6UXRBgwYUOv7XnnlFTz33HPqz5OiLOdy7NgxNaab84gTueNd9E+051I0reWFRh8RkVNryBheH6GhodiyZYvqffbCCy+oMeG19UIT7IlG5ILKy4FNHwH5GUBgE6DveA75Io9X55ZuqUgq47SkcIoEbRmXJQFaWo716UfqQwLu2LFjVfLcv39/NWVYfn6+GiMmxowZo+6Ky91uIWO0pfKqFH+Riqn62O+QkBC15OXlqbviN910k2otP3DgAB599FG0b99eFXghIje8i96svTY9GBE1Sgyvb0816YIu8VhI9fLdu3er+C7jvWvCnmhELmjPf4CM3YDJF+h3F+AfavQREblO0n3hhReqyqTSwizzfDbUFFwjR45ERkaGSqQlgZYgLBcCepe15ORkFaR17777rhpLJnOOWpPqqVIgRi4CpCrqggULkJWVpQrFyDzectzsQk7kpnfRE8cBJm+jj4rIaTV0DLfuqSa1U6x7qk2aNKnOnyPvqW/1dCJyQsc2AAd+1Z73+isQ3sLoIyJyraR7w4YNai5PR5AAXVuQrtrt7PDhw2f9rMDAQE4/QuTu9v5QeRe97wTeRScyIIbb21NNHmVfqVwuifaPP/6o5umWm+lE5AaykoGt/9aet78ciHdM3kDk1km3oxJuIiK7HN+kzfkpeo0GIjjFH5ERMdzenmqSkN93332qzorcIO/UqZMaXy6fQ0QurjBbG/JVXgrEdAM6DTf6iIicipdZ5u0gGzk5OWq+bqmyGhYWxrND5CyyjwGrZwLlJUC7S4Eu1xt9RESNgnGJ54HIaZWVAmtmAacPAyGxwKD/A3wrp/Ilcmd1jc/1nqebiKhRFeUC6z/QEu6oTkCna/kDEBERGUna7rZ/oSXcvkFa4TQm3ETVMOkmIudXXgZsXACcOQUERQJ9xkoZZKOPioiIyLMdXgUc/UM6zwJ9xgAhUUYfEZFTsvuqVeby3LdvX7Xtsu1cRc6IiOpl1zfAyX2At792F90viCeSqB4Yw4mowWT8Cez8Wnve5TogujNPLlFDJd3jxo3D77//Xm372rVr1WtERA0qeS1w6H/a8963A2HNeYKJ6okxnIgaRP5JYON8wFwOxPcF2v6FJ5aoIZPuzZs3Y+DAgTXOAbplyxZ7P46IqHYyRmz759rzC64Emvfg2SI6D4zhRHTeSou0SuUl+UB4AtBzFODlxRNL1JBJt5eXF3Jzc6ttl4ptZWVl9n4cEVHt049smFc5/Ygk3UR0XhjDiei8C6dt/gTIPQH4h2pDvrx9eVKJGjrpvvjiizFjxgybBFuey7ZBgwbZ+3FERDVPPyIJtyTeMv1I7zt4F52oATCGE9F5+fNnIHUbYPIB+k4AAiN4QonqwAd2evnll1XQ7tixIwYPHqy2rVq1Ss1R9uuvv9r7cURE1e+i7/iS048QOQBjOBHVW8pW4M+ftOfdbwGatuHJJHJUS3eXLl2wbds23HrrrUhPT1ddzceMGYM9e/agW7du9n4cEZGtw6uB5DWcfoTIARjDiaheso9r3cpFmyFAywt5Ions4GU2S7MSWZNW+/DwcDVOPSwsjCeHqLFk7gf+mK1VQ+18HdD+Mp57IsYlxmciIxXlAqveAM6cAiI7Akn3ACa72+2IPDpvrFP3cmnZllZsk8mknp9Njx6sLkxE9VBwShvHraYfSQTaXcrTSNQAGMOJ6PxqrHyoJdxBkUDiWCbcRPVQp6S7V69eSE1NRXR0tHou1U9raiCX7axgTkTnN/1IC6DnaBZOI2ogjOFEVG87FwOnDgA+AUD/iYBfME8mkaOS7kOHDiEqKsrynIiowcgNvC2fAjnHAb8QTj9C1MAYw4mo3jVWjvym1ViRWURCY3kiiRyZdLdq1Uo9lpSU4JlnnsHTTz+NNm1YsZCIGsC+pVpFVC9voO+dQGATnlaiBsQYTkT1qrGy4yvteadrgFgWSyY6H3ZVQfD19cVXX1X8BSQiOl+p24G9P2jPu98MNGvHc0rkIIzhRFQn+Scra6zE9WFRU6IGYHfpwREjRuCbb75piD+biDxZbmrl9COtBwOtLjL6iIjcHmM4EdW9xkoC0OuvrLFC1Fjdy6116NABzz77LH777TckJiYiONi2oMLf//73hjguInJnxQVaUC8tBJq2A7reYPQREXkExnAiOmuNFbkZnnsC8A8F+k0AvH15woiMmKf7bGO5pXr5wYMH4eo4TzeRA5WXA+veAzL2aOO3Bz+kBXcicnhccvUYzvhM5EB7fwL+XAKYfIABk4CmrN9E1KjzdFtj9XIiOi+7v9MSbpOvVqmcCTdRo2EMJ6IandisJdyix0gm3ERGj+mWruUFBQXVtp85c0a9RkRUq6PrgYPLtecyTkzm5CaiRsMYTkTVZB8DtnymPW97CZDQnyeJyOju5d7e3khJSUF0dLTN9pMnT6ptZWVlcHXsvkbkAKePAL+/BZSXAu0vBzpfw9NM1MhxydVjOOMzUQMrygVWvQ6cOQ1EdQL6/w0w2d0mR+SxcuoYn+3+WyU5uoz7qmrr1q1o2rSp/UcKYPbs2WjdujUCAgKQlJSEdevW1brv3LlzMXjwYDRp0kQtQ4cOrba/HOO0adPQvHlzBAYGqn327dtXr2MjogZQmA1s+EBLuGO6AZ2G87QSGcARMZyIXFRZqTY1mCTcwVFAn7FMuIkcpM5JtyS4EpAlWF9wwQXqub5Idn/55Zfj1ltvtfsAFi1ahClTpmD69OnYtGkTevbsiWHDhiE9Pb3G/VesWIHRo0dj+fLlWLNmDRISEnDFFVfg+PHjln1eeeUVvPXWW5gzZw7Wrl2rKqzLZxYWFtp9fETUQEFdEu+QWKD3HZx+hKiROSqGE5GLko6uO74ETh0EfAKAfhMBvyCjj4rIbdW5e/mCBQvUHfI777wTM2fOVEFa5+fnp1qqBwwYYPcBSMt2v3798Pbbb6v18vJylUg/8MADePzxx8/5fukKJxcT8v4xY8aoY4yLi8NDDz2Ehx9+WO0jzf0xMTGYP38+Ro0adc7PZPc1ogYi/7xsXQgc/QPwDQIGTQFConh6iex0vnHJUTG8sTE+EzWQA78Cu76VVADofzcQ04WnlsgZqpePHTvWMt3IwIED4eNjd+HzaoqLi7Fx40ZMnTrVss1kMqnu4NKKXRdS1K2kpMTSLU4qs6ampqrP0MmJkORePrMuSTcRNRApmiYJtwT1PmOYcBMZxBExnIhcVOp2YNd32vOuI5hwEzUCu8d0DxkyBEeOHMFTTz2lunnr3cB/+ukn7Ny5067PyszMVC3V0gptTdYlca6Lxx57TLVs60m2/j57PrOoqEjdpbBeiOg8pe6wDerRnXlKiQzWkDGciFy0Uvmmj6UrGtBqINBmiNFHROQR7E66V65cie7du6ux0osXL0ZeXp6lCIuMy25ML730EhYuXIivv/5aFWGrrxkzZqjWcH2R7u1EdB5yTgCbPtKCesuLGNSJnIQzxXAiamRSW2XdXKCsCIjsCHS7iTVWiJw16ZZx1s8//zyWLl2qxoHpLr30Uvzxh3QjrbvIyEg1fUlaWprNdlmPjY0963tfe+01lXT/97//RY8ePSzb9ffZ85nSvV364evL0aNH7foeRFRl+hE9qDdrD3S/mUGdyEk0ZAwnIhdSWgys/xdQmAWExACJ4wCTt9FHReQx7E66t2/fjhtuuKHadpnfU7qL20MCfmJiIpYtW2bZJoXUZP1sBV2kOvlzzz2HJUuWoG/fvjavyXg1Sa6tP1O6i8td/do+09/fXw18t16IqB7KSoD1HwBnTmnTj/S9k0GdyIk0ZAwnIhcqarrlUyArGfAN1gqnsVI5kXMn3REREUhJSam2ffPmzYiPj7f7AGS6MJl7Wyqr7t69G/feey/y8/Mxfvx49bpUJLcutPbyyy/j6aefxrx581S1VRmnLYveRU6mQ5k8ebK6k//dd9+pCwz5DBn3PWLECLuPj4jsCOrbFgGnDwE+gRVBPZinj8iJNHQMJyIXsPcnIGUL4OUN9JsABEcafUREHsfu8qVS/VuKl33xxRcqwZWW6d9++01NzyXJrb1GjhyJjIwMTJs2TSXPvXr1Ui3YeiG05ORkVdFc9+6776qq5zfffLPN58hYtH/84x/q+aOPPqoS97vvvhtZWVkYNGiQ+szzGfdNROewfxlwbD3gZQL6jgdConnKiJxMQ8dwInJyxzYA+37WnvcYCTRrZ/QREXmkOs/TrZOE9/7771dzXkvlcZl2RB7/+te/qm0yRtvVcR5QIjulbAU2zNOed7sZaDOYp5DICeOSq8dwxmciO5w6CKyZDZSXAu2HAp2v5ekjMigu2Z1066QFeseOHapbd+/evdGhQwe4CwZ1IjunH/ntTaCsGGg9WCucRkROHZdcNYYzPhPVUf5JYPUbQHEeENtDq7Hi5cXTR2RQXLK7e7muZcuWaiEiD2aZfqQYiOoEdL3R6CMiojpgDCdyYyVngHXvawl3eAug9+1MuIkMVuek+9lnn63TfjI2m4g8pVK51fQjfcYCVvUXiMh5MIYTeYjycmDjAiAvFQgIB/pNBHz8jT4qIo9X5+7lUsxMKoDLtCK1vUWKsmzatMnlTyq7rxGdg/wbsOkj4MQmbfqRQf8HhETxtBE5aVxylxjO+ExUh1lEktcAJl9g4N+BCPZKJXKp7uVXXXUVfv31VzUv9p133olrrrnGpqo4EXmQvT9qCbeqVH4nE24iJ8cYTuQB9v+iJdzwAhLHMuEmciJ1zpp/+OEHHDhwAElJSXjkkUfUfJ4y7cjevXsde4RE5FyS/wD2/bdy+pHI9kYfERGdA2M4kQdMDbbne+15t5uA2O5GHxERWbGrqVq6pk2dOlUl2osWLUJ6ejr69euHgQMH4syZM/Z8FBG5ooy9Wtc10eEKoOWFRh8REdURYziRm8rcB2z5THve9i+ctpPICdW7erkk24cPH8auXbuwefNmlJSUIDAwsGGPjoicR84JbS5uczkQnwh0vNroIyKiemIMJ3ITuanA+g8AcxnQvCfQ5Xqjj4iIamD3oOw1a9Zg4sSJiI2NxaxZszB27FicOHGiQeYNJSIndSYLWPseUFoING0H9Pwrpx8hckGM4URuNm2nis1ngCZtgN53MDYTuXpL9yuvvIL58+cjMzMTt912G1atWoUePXo49uiIyHilRdpc3DI1WHA00G8C4F3vTjJEZADGcCJ3jM3vA2dOAcFRQP+JgLev0UdFRA0xZVjLli1V1XI/P79a93vjjTfg6jglCZHVfJ8yF3f6TsAvBBg0BQhuxtND5GJxyV1iOOMzUU2x+f+A4EieGiJ3mDLs4osvVnN47ty5s9Z95HUichNyP27nYi2oy3yf/e5iwk3kohjDidwoNm//okpsZsJN5OzqnHSvWLHCsUdCRM7l4HLg8Cptvs/etwNN2xh9RERUT4zhRG7izyVA8u9abO5zB2MzkbsWUiMiD3BsI7DrW+25VEKN62X0EREREXm2Q6u0pFt0v0WrVk5ELoFJNxFVn4t7y6fa8zYXA20v4RkiohrNnj0brVu3RkBAAJKSkrBu3bpaz9TcuXMxePBgNGnSRC1Dhw496/5EZOXEFmDHV9rzC64CWg/k6SFyIUy6iahSVnLlfJ9xvYGuN3L6ESKq0aJFizBlyhRMnz4dmzZtQs+ePTFs2DCkp6fX2sV99OjRWL58uZq6LCEhAVdccQWOHz/OM0x0Npn7gM0fy4BuoNVA4IJhPF9E7lq93JOwOip5pPxMYPU/geI8IPICoP/fODUYkZNwxrgkLdv9+vXD22+/rdbLy8tVIv3AAw/g8ccfP+f7y8rKVIu3vH/MmDEuex6IHCr7GPD7LKC0UOtO3mecTEfAk07kJOoal/i3loiAwhzgj3e1hDusBdCXc3ETUe2Ki4uxceNG1UXcckFhMql1acWui4KCApSUlKBp06a17lNUVKQuaKwXIo+6Gb52jpZwN2sP9L6DCTeRO1cv37ZtG7p166YCqjw/mx49ejTUsRFRYygpBNa9DxRkAkHNgKS/Ab4BPPdEbsIRMTwzM1O1VMfExNhsl/U9e/bU6TMee+wxxMXF2STuVc2YMQPPPPNMnT6PyC1vhhflAmHx2tRg3r5GHxUROTLp7tWrF1JTUxEdHa2ey3zc1r3S9XV5lCBMRC6irBTYMA/IPgr4hQBJ9wIB7LJJ5E6cMYa/9NJLWLhwoRrnLUXYajN16lQ1blwnLd3ShZ3I/W+Gv1flZnig0UdFRI5Oug8dOoSoqCjLcyJyA3LRvfXfQOZewNsf6H83EKL9PSci9+GIGB4ZGQlvb2+kpaXZbJf12NjYs773tddeU0n3L7/8cs6WdX9/f7UQeYzSYq33mYzlttwMDzf6qIioMZLuVq1a1ficiFw44d75NXB8A+BlAvqOB5rw7zaRO3JEDPfz80NiYiKWLVuGESNGWAqpyfqkSZNqfd8rr7yCF154AT///DP69u3bIMdC5Ha9z04dAHwCgKR7eDOcyJOS7qr27t2LWbNmYffu3Wq9c+fOqlppx44dG/r4iMgR/lwCHFqpPe91GxDdmeeZyEM0VAyXbt9jx45VyXP//v0xc+ZM5OfnY/z48ep1qUgeHx+vxmWLl19+GdOmTcNnn32m5vaWLu8iJCRELUQerbwc2LQAyNgNePtpXcojOJSCyF3YXb38q6++UgVZpGqpzMkpi8zPKdvkNSJycgeWa0m36HYT0IKtTUSeoiFj+MiRI1VXcUmkZaz4li1bsGTJEktxteTkZKSkpFj2f/fdd1XV85tvvhnNmze3LPIZRB5NDff6DEjdBph8tKJpTdsafVREZOQ83e3atcNtt92GZ5991mb79OnT8cknn+DAgQN2HcDs2bPx6quvqjveEvzl7rvcMa/Jzp07VXCXi4UjR47gn//8JyZPnmyzzz/+8Y9qlU7l7n1dq6kKzgNKbiv5D20ct+g4HLjgCqOPiIgaMS41dAxvbIzP5HbkMnz7l8CR1RXDve4EYrsbfVREZPQ83XLXWrqMVXX77bfb3NGui0WLFqnuaRLs5U67JN3Dhg1Denp6rXN6tm3bVhVgOVuhlq5du6pj0ZfVq1fbdVxEbun4JmDrQu15u0uBDpcbfURE1MgaMoYTUQMk3Lu/0xJueAG9b2fCTeSm7E66L7nkEqxataradklsBw8ebNdnvfHGG5g4caIa/9WlSxfMmTMHQUFBmDdvXo379+vXT7WKjxo16qzVTH18fFRSri9SZZXIo6XtAjZ/LBEeaDUQ6HydzBNk9FERUSNryBhOROdp33+BA79qz3vcCsQn8pQSuSm7C6ldd911eOyxx1QX7wsvvFBt++OPP/DFF1+obt3fffedzb61kXFd8hkyB6fOZDJh6NChWLNmDc7Hvn37EBcXp+b+HDBggCri0rJly/P6TCKXlblfq4ZqLtcCerebmXATeaiGiuFEdJ4OrgD2/qg97zICaHURTymRG7N7TLckxnX6YC8vlJWV1fr6iRMnVFXT33//XSXGukcffRQrV67E2rVrz/r5UvlUxnNXHdP9008/IS8vT43jlq5ychFx/Phx7NixA6GhoTV+VlFRkVqs++YnJCSc99g5IsNlJQNrZgOlhUBMN22smMnb6KMiIoPGMjdUDDcKx3STWzi0Ctjxpfb8gquAjlcafURE5OC4ZHdLt8zD6cyuuuoqy/MePXogKSlJzUv6+eefY8KECTW+R1rCqxZfI3J5OSeAP+ZoCXezDkDiOCbcRB7O2WM4kUcl3O0uAy4YZvQREZEzjuluKDLO2tvbG2lpaTbbZf1sRdLsFRERgQsuuAD79++vdR/p4i53J/Tl6NGjDfbnExkiJ0Vr4S7JByJaatOPePvyxyAiInKKhPtSoPO1HO5F5CHqnHRfffXVKiHVSQXxrKwsy/rJkydVMbS68vPzQ2JiIpYtW2ZzB17Wrbubny/pai5ToMhcoLWRomzSHcB6IXLthPttoDgPCE8Aku4FfAOMPioiMlBDx3AistPh1VUSbhY0JfIkdU66f/75Z5txzy+++CJOnTplWS8tLcXevXvt+sNlurC5c+diwYIF2L17N+69917k5+erauZCpjWxLrQmxde2bNmiFnkuY7XluXUr9sMPP6zGhB8+fFiNF7/hhhtUi/ro0aPtOjYil5SbapVwtwAuvA/wCzL6qIjIYI6I4URUR4d/A7Z/oT1nwk3kkeo8prtqvTU766/VaOTIkcjIyMC0adOQmpqKXr16YcmSJYiJiVGvJycn2xR9keJrvXv3tqy/9tprahkyZAhWrFihth07dkwl2HLXPioqCoMGDVKVWeU5kVvLTatMuMOYcBORY2M4EdU14f5ce972L2zhJvJQdhdSa2iTJk1SS030RNq6Yvm5LhQWLlzYoMdH5BLy0oE1s4CiXCAsHhggLdzBRh8VERGR56qacHe5nmO4iTxUnbuXy/QhslTdRkQGy8sAfq9IuEPjKrqUM+EmokqM4URGJtyXMOEm8nB2dS8fN26cKjomCgsLcc899yA4WLu4tx4rRkSNmHCrFu4cILS51sLtH8LTT0Q2GMOJGtGB5cCub6wS7hFs4SbycHVOuseOHWuzfvvtt1fbRwqfEVFjdil/GyjMBkJigQH3A/6hPP1EVA1jOFEjkCGQfy7RFn0ebk4LRkT2JN0ffvghTxiRs8g+DvzxjlY0jQk3EZ0DYzhRIyTc0rp9sKIeUadrgA6X87QTkXMUUiMiO50+AqydA5QUVFQpv4ct3EREREYpL9emBEv+XVvveiPQdgh/DyKyYNJN5EpOHgDWvQ+UFgJNWgP9/8Z5uImIiIxSXgZs/gQ4sUlKFgI9RwMtk/h7EJENJt1EriJjL7BuLlBeAjTrAPSfCPhohQ2JiIiokZWVABvnA2k7AC8T0GcMENebPwMRVcOkm8gVpG7XAnt5KRDdBeh7J+Dta/RREREReabSImD9v4DMPwGTrxaXY7oYfVRE5KSYdBM5u+Mbta5r5nKgeU+g9xjAm391iYiIDFGUqw31ykoGvP2B/ncDke35YxBRrXjlTuTMjqwBti2SsqhAi35Az78CJpPRR0VEROSZ8jO1Yqb5GYBvMJB0t1ZjhYjoLJh0Eznr1CP7lgJ7f9DWWw0Eut8CeHkZfWRERESeSVq2176nTdcZ2BS48F4gJNrooyIiF8Ckm8gZpx7Z8SVw5DdtvcMVQMermXATEREZJW2XVlulrEibrjPpb0BAGH8PIqoTJt1EzlYJddNHQOo2beqRbjcBbQYbfVRERESeK3ktsG2hVlslqhOQOB7wDTD6qIjIhTDpJnIWxQXA+rnAqYOAyQfofQcQ18vooyIiIvJMVYd6SW2VHqNYzJSI7Makm8gZnDmtjRPLTQF8AoF+d7ESKhERkaFDvb4CjqzW1ttfDnQazqFeRFQvTLqJjJaTolVCLcwCAsKBpHuAsDijj4qIiMgzlRQCmxYA6bs41IuIGgSTbiIjZe4HNnwAlBQAITFawh3UlL8JERGREfJPakO9pOeZyRfocwfQvCd/CyI6L0y6iQwtzLIIMJdpc3z2vxvwC+bvQUREZASpqbL+A21KMOl5JkO9IlrytyCi88akm8iIwix7fgD2L9XWm/cCet8OePvytyAiIjLCsQ3A1n8D5aXalGD9JwKBEfwtiKhBMOkmauwpwTZ/AqRs0dY5BzcREZGxBdP2/lh5Izy2uzZ7iI8/fxUiajBMuokaS2EOsP5fQNYRwMsb6DkKSOjP809ERGTUVJ2bP64omAag3WVA52tZoZyIGhyTbqLGkJWsjROTCuW+wUDfOzklGBERkVFyU7Ub4fkZWsG0nqOBFon8PYjIIZh0EzXKOLGFQHmJVqG830QgJIrnnYiIyAip27WhXqWFQGAToO8EICKBvwUROQyTbiJHjhPb8x/gwK/aenRXbeoR30CecyIiIiPi8r6fgT+XaOvN2gOJ4wD/UP4WRORQJhhs9uzZaN26NQICApCUlIR169bVuu/OnTtx0003qf29vLwwc+bM8/5MIoeNE1v3fmXC3f5ybeoRJtxERESNrygPWDunMuFuPRi48D4m3ETk/kn3okWLMGXKFEyfPh2bNm1Cz549MWzYMKSnp9e4f0FBAdq2bYuXXnoJsbGxDfKZRA0u+xiw6jUgY7c2TqzPWKDzNYDJ8HtcREREnufUIeB/rwKZewFvP606efebAZO30UdGRB7Cy2yWSYONIa3Q/fr1w9tvv63Wy8vLkZCQgAceeACPP/74Wd8rLdmTJ09WS0N9pi4nJwfh4eHIzs5GWFhYvb8feaDktcD2L7Tx24FNgX4TgPAWRh8VEbk4xiWeB6oHucQ9vArY+Q1gLgOCo7VCpmHNeTqJqFHjs2FNb8XFxdi4cSOGDh1aeTAmk1pfs2aN03wmUZ3n3966CNj6mZZwR3cBLn6YCTcREZFRw7w2zgd2fKUl3M17AYMfYsJNRJ5VSC0zMxNlZWWIiYmx2S7re/bsadTPLCoqUov1HQuiOis4BWyYB2Qflc4jQMergA5XcJ5PIiIio7qTb/oIOHMK8DIBXa4H2gxhXCYiw7B6OYAZM2bgmWeeMe5XINeVsg3Y+m+gpECbf7vPGCC6k9FHRURE5JndyfcvA/b+AJjLgaBmWl2VJq2MPjIi8nCGJd2RkZHw9vZGWlqazXZZr61ImqM+c+rUqar4mnVLt4wDJzprd/Jd32pjxURESyBxPBDUlCeNiIiosRXmaHNvS7E0EdcH6HErZw0hIqdg2JhuPz8/JCYmYtmyZZZtUvRM1gcMGNCon+nv768GvlsvRLXKSwdWz6xMuNtdClz0IBNuIiIiI6RuB1a+rCXcMmtIz9FazzNO00lETsLQ7uXSujx27Fj07dsX/fv3V/Nu5+fnY/z48er1MWPGID4+XnX/1gul7dq1y/L8+PHj2LJlC0JCQtC+ffs6fSbReXVbO7ZBq05eVgT4hQC9bgNiuvCkEhERNbaSQmDn18DRP7T1sHgt2Q6tX49JIiK3TLpHjhyJjIwMTJs2DampqejVqxeWLFliKYSWnJysqo/rTpw4gd69e1vWX3vtNbUMGTIEK1asqNNnEtW7Cur2z4ETm7X1Zu21eT4DI3hCiYiIGtupg1p38oKTWhFT6XXW8WrAm+WKiMj5GDpPt7PifKhkI+NPYMunQGGWVgX1giuB9pfLfHQ8UUTEuMT4TI2prBT4cwmw/xfpggYENgV63w40a8ffgYgandPP003kEoF95zfAH7O1hDs4Chg4GbhgGBNuIiIAs2fPRuvWrREQEICkpCSsW7eu1vOyc+dO3HTTTWp/Ly8vNfyLyC6njwCrXgP2L9US7hb9gSGPMuEmIqfHpJuoJtnHgNVvAAeXa+stLwIufoTTjhARVVi0aJGqozJ9+nRs2rQJPXv2xLBhw5Cenl7jOSooKEDbtm3x0ksv1XuWEvLkGUO+A1b/E8hN0Wqq9L0T6H0bi6URkUvgwBeiqq3bcgd933+1OT4lsEsV1NhuPE9ERFbeeOMNTJw40VKodM6cOfjhhx8wb948PP7449XOVb9+/dQianqdqEanDgFb/w3kVUwHG58IdLsJ8AvmCSMil8Gkm8i6dXvLZ0DOcW29eU+g+y2AfyjPERGRFZlBZOPGjZg6daplmxQ+HTp0KNasWcNzReev5Ayw5wfg8GqtK7nE4h4jgdjuPLtE5HKYdBPV1Lotd9Hj+/DcEBHVIDMzE2VlZdVmBpH1PXv2NNg5KyoqUot1wRpyc1LfV2YK2bkYKMrVtrXoB3S9ga3bROSymHSTZzt5ANi2qLLbGlu3iYicxowZM/DMM88YfRjUWPIzge1fABkVN26Co4EetwKRHfgbEJFLY9JNnqk4XyvKcvQPbV26rXW9ka3bRER1EBkZCW9vb6SlVdywrCDrDVkkTbqvS7E265buhIQE/kbu2OPswK9aj7PyEsDko03N2X4o590mIrfApJs8r9vasQ3Arm+A4jxtW6uBQKdrAL8go4+OiMgl+Pn5ITExEcuWLcOIESPUtvLycrU+adKkBvtz/P391UJuLHOf1rqt9ziL7KjVUwmJMvrIiIgaDJNu8hx56Vpgz/xTWw9trnVba9rW6CMjInI50gI9duxY9O3bF/3791fzbufn51uqmY8ZMwbx8fGqi7hefG3Xrl2W58ePH8eWLVsQEhKC9u3bG/pdyKCu5Lu+BVK3WfU4uwGI6wN4efEnISK3wqTbwTLzihDs54NAP29H/1FUm9Ji4MAyYP8vQHkpYPIFOl4JtP0LYOLvQkRUHyNHjkRGRgamTZuG1NRU9OrVC0uWLLEUV0tOTlYVzXUnTpxA7969LeuvvfaaWoYMGYIVK1bwR/AUJYVaN/JDK7WY7GXSepx1vJo9zojIbXmZzdLflqzJmLHw8HBkZ2cjLCzsvE7OuysOIPlUAZoG+yI+IghxEQGIjwhEfJNABPnxnkejVECVO+mFWdq2qM5at7XgZo79s4mInDQuuTKeBxdWXq7VUZFpwPThXdKVXFq3w5obfXRERA6NS8z6HEjuZxSVlqnnp/JLcCo/G9uPZ1tejwiSRDxQLXFqCUBogK8jD8lzZCUDO78GTh3U1gObAJ2vA+J6s9saERFRY8rcr00BlnO8sip51xFAdBfGZCLyCEy6HcjLywuTh16AguJSnMg6g+NZhepRlsy8YmQVlKhl54nKeUfDAn2qJOKBCAvwUZ9FdVCYo91FP7pWbnsA3n5a9dN2lwLevKFBRETUaLKPA3t/BNJ2aOu+QcAFw4BWg1iVnIg8CpPuRiDdyNtHh6pFV1hSVpGAF+J4VoFKyGX8d86ZUuScycXulFzLvqEBPogLD1AJePPwQMSGByAyxI+JeNXpRg6tAPYtBUoLtW3xfYHO12it3ERERNQ48jK0ZFuGeMkNcH3c9gVXAv4h/BWIyOMw6TZIgK832kaFqMU6EU/N1lrDj1W0iKfnFiG3sBR7C/OwNy2vcroWby/EhAegeXgAYsO0rukxYQHqcz1ujNjxjVpwP3NK2xbRUptzu2kbo4+OiIjIc5zJAv78WRu7bS7XtsmwLimSFhJt9NERERmGSbcTkYS5dWSwWnTFpeUqET+edQYp2bIUIi2nEMVlZhw9dUYtwGnL/lKwTVrDVTKukvJANAnydb9WcSmSJt3VpCt5boq2LSAc6HQt0KIvx4gRERE1lqI8bYaQw6uB8hJtm4zX7jQcCG/B34GIPB6Tbifn52NCy2ZBatGVl5uRmV+kknFJwlMkIc8pVF3TtYJttuPE/X1MNkm4PI8O84e/j7frFmTZ8x/g9OHKMWIybrvNxRy3TURE1FiKcoGDK4HDqyqHdjVpA3S+FmjWjr8DEVEFJt0uyGTyQnRogFp6WN1Azi8qVUm4loyfUY/SPb2otByHTxaoxZq0ikuXdPmcmDD/irHi/vD1rpxX1ekqkkvLdsYebV2KpLUZohVJ86u8KUFERHQu245lIftMiYqBUaH+7tkrzJHdyA/8Chz5vbJlOywe6HQNEN2Zvc2IiKpg0u1Ggv2lYFuIWnRl5WZk5BZZkvATFd3TZZy43ipuXbRNrjcig/3UePEYlYxrCbkk45LsG5ZsyxgxvfqpXpClwxVAgOfOV0tERPW38chp/GlVK8XX2wtRIf4qAZfeYHoy3izYDz7OejO6sRWc0rqRywwh5aXatvAELR7HdmeyTURUCybdbs7b5KVasGWxJq3iknyn5RQhPVdLxFOzi3CmpAwZecVq2YHKLuo+Ji918SEJeLQk4hWt402C/ByXjMsc23/+F8jYXbHBC4hP1AqyBDdzzJ9JREQe4YKYUDWES25My+whJWVmdWNaFmsS4iTxlhioLdJDTHvuMcVL89K1ZPvY+soCaU3basl2VCcm20RE58Ck24NbxatWTzebzcgpLEVGrpaAq0Q8p1BdkEgXdTV+XF2MZNu0DEgruLoQCdFaB+R5vbupS4G0k/u1lu2T+ypbtiXZbn85EBrTIN+fiIg828D2kWrRa6WczC9W8S4jrwjpOdrwLD3+6TejYdUzTIQF+lhaxGUqT4mDEv/CA32N6x3WUCQeZ+4DDq2s7GkmIjtqc21zzDYRUZ0x6SYLGcsmFwqyWM8pLsl4VkGJSsAlEU/P0RJyuSCRloHKZNz6s6DGx+kXI3qrgKwH+nnXHNzTdwP7/gucPlTxId5AQn+tSFqwdmFERETU0CRB1luybUNT5c1oPQmXRZ/OUwqY5pzJw/70ym7qeu+wZiF+KgGPrHhsVvE8xN/HuceOl5UCJzYBB1cAOccrNnoBMV21lu0mrQw+QCIi18Okm85JLg6aBPuppXPzyjHU0jJwuqC42oWIPEo3dX3M+J5U25aBEH/vymQ82ISEgt2ITF+DgMJ0lazD5AO0HKAVSAtqyl+IiIic6ma0OFNcVhH3tB5hmfnFyMwtwqn8YpSWm9XwLVmqkhlF9JZxLSmXhFx7bmh3dZn2SwqjHf6fVpVcL1iakKTNDsJ5tomI6o1JN51Xy4DcuZelc3PbloG8olJLEm6dlEul2LyiMhQXZMDv4GY0zduME+UFOCFJvMkPpyITkRs/GBFekYhMB5qF5LtGywAREXkU6bVVdUpP/YZ01pkSNU5cW7RkXJ7Ldumufuz0GbVUFRrgo2Jes2B/RFYUcZMb3vLokIRceplJsVJJto9vrKxEHhCuJdpyA9wvuOH/XCIiD+MUSffs2bPx6quvIjU1FT179sSsWbPQv3//Wvf/4osv8PTTT+Pw4cPo0KEDXn75ZVx99dWW18eNG4cFCxbYvGfYsGFYsmSJQ78HaSQ5Dg3wVYv1mHFReOo48vcsQ9nR9SgyFeFMQBmyzBHY5d8LB4N6oMQUAGQAyMissWVALjxUy0DFc48qZENERC5xQ7ppsJ9apFibtZKycpyWseNWyfjJfO25dFfXl0OZtlN8iiA/b/WZEvvUY4g8+qvnYQF23pguLdKS7CO/AdnHKrdLJfK2fwHiegEmxlYiIrdJuhctWoQpU6Zgzpw5SEpKwsyZM1WCvHfvXkRHR1fb//fff8fo0aMxY8YMXHPNNfjss88wYsQIbNq0Cd26dbPsd+WVV+LDDz+0rPv7247TokZUXg6k7wQO/4aAjN1QddSDTEDzC4B2fwGa90JfmOrdMiDd1at20dMuRvzg78OLBiIicg5SYFRmAJGlqsKSMpv4J93Upbjbqfwi1UOsoFiWmuOgFDWV2UT02Kcl51pCLvVVLFOeZR+vaNXeAJRW1GKRIV3NewGtBwJN2rASORGRA3iZpS+wgSTR7tevH95++221Xl5ejoSEBDzwwAN4/PHHq+0/cuRI5Ofn4/vvv7dsu/DCC9GrVy+VuOst3VlZWfjmm2/qdUw5OTkIDw9HdnY2wsI4D3S9FWYDyX9oAb4wq2KjFxDbTbuTLtON1OHOfNWWgZNWibm0CJyNdNVTFyBBFRciqtue9pxd1onIVTAuefZ5kIRcaqiczJMkvNgmIZdCp+VnuZLzNRehY9l+dCjaiciSFPj7mlTvMZ/QGPi2HYTAthfCFGDbIk9ERA0blwxt6S4uLsbGjRsxdepUyzaTyYShQ4dizZo1Nb5HtkvLuDVpGa+aYK9YsUK1lDdp0gSXXnopnn/+eTRrxrmdG22KkSOrgdTtlfN5+gYDLZOAVgPtrkRel5YBuRDRHyU5lwsSaRXQu+odOVm9q55cdEjLgCTielKutxJEBFq1DBARERlIhlE1Dw9US1VlMoa8wDoRl+S8EF4ZexGWuRlR+X/CZC6F5OXpMOFEYAccDu6FjKKWwB4veP95GBGBfogI8tViosTAIN+Kx3p0XSciIudKujMzM1FWVoaYGNu5l2V9z549Nb5Hxn3XtL9st+5afuONN6JNmzY4cOAAnnjiCVx11VUqYff2rt7duKioSC3WdyzITmeytO5qyWuB/PTK7dJVrfUgoHlPwNvXIRciLZoEqaXaIRWXqbFyequAdetAdkWXdZkGTZaq5PpCEm/rcXNNKi5IpKhNsJ83L0KIiMhw3lZFTTvkpgKF64G8DYBXNsyRQEnTEBT4RSIjoidSQrvDXOyPsIJilBUUq1bysnKouCgLkF/t82X6M0nCJQFXcVB1Wdeey7ZQfx/Xn5OciMjdx3Q7wqhRoyzPu3fvjh49eqBdu3aq9fuyyy6rtr+MD3/mmWca+SjdQFmJ1pp9dB2QITdJKvq3efsDLfoBrS4CwuMNrSzbwq/mhLxUuqwXyJRmcqFRhNNqejMpaKMl5jL/uLwuy4GM/FrHz+kXIJaLESblRETUmApOASc2a0v2UatAFQyv+D7wa9EPfhEtEeHlhQ5V3iqV1qU32KmCYtV9XYZySdzLqliXpFymP1PjzPMkKa9O8m19WjVJzrXnWmu5vh7oyxvVROTZDE26IyMjVctzWlqazXZZj42NrfE9st2e/UXbtm3Vn7V///4ak27p3m7dZV1aumVcOdXSffz0YeDYei3AlxTYtmon9Afi+gC+1buCOxPpOi6Vz2UBbMeySZmD3KJSnJLx4xVJuHYhol2M5BSWqKRcnw6tJkzKiYjIob3LUrZocVhiss7LBER30WJxdFfA++yXedJCHS6JcZAv2qD61GCSlEvPMD3+acl4iYqJkqjnnNHGk+s3qXGy5j9HhnOF6Yl5RXJeNUGXoWRERO7K0KTbz88PiYmJWLZsmapArhdSk/VJkybV+J4BAwao1ydPnmzZtnTpUrW9NseOHcPJkyfRvLnVZNJWpLI5q5ufQ26aFtxlihHr7uMBEVpwb9EfCImCO5Cxa2EBvmppHRlcYyu5VFS3vviQ1gC9pUBaDeqSlEvreIRV6wAvQIiIqFaFOUDKVi0WnzpY2btMCpQ2awfE9daGcvk3XFE0ScpVd/Jgvxpf11vKs85ow7YkFkp8lOfZBdo2qbwuw7kycovUUhsZtmVpLQ/yU89lPLl6DJRpSH04IwkRuSzDu5dLC/PYsWPRt29fNTe3TBkm1cnHjx+vXh8zZgzi4+NVF3Dx4IMPYsiQIXj99dcxfPhwLFy4EBs2bMD777+vXs/Ly1NdxW+66SbV+i1juh999FG0b99eFVwjO+SfBE5s0gJ8zvHK7SZfLbAnJAGRHTxuehFpJdenKKtJXZPy+lyAWFoIAv3UBQjH0RERufkNbxnGlbYdOH3EKtGu6F0W3weI7QEERhhyeNYt5WebgURPyLOtknPrR0nK84vL1HIiu3qdFV2Ar0m7KV5xw1qScnmubdOeh/gxNhKR8zE86ZYpwDIyMjBt2jRVDE2m/lqyZImlWFpycrKqaK676KKL1NzcTz31lCqQ1qFDB1W5XJ+jW7qrb9u2DQsWLFDThsXFxeGKK67Ac889x9bsuo4N07usZSXbdlmL6qR1HY/t7vTdx10jKdcuQKpefNT1AkTG0YUG6El4xQWI5UJEuwCR16XIDhERuYDyciDrsJZop+6w7VkmIlppLdpxvYDAJnAFvueIiTKkq7BE4qJtQp5dMZxLurDnFJaquCj7FZbU3ovMOjaqJLwiQbdOzrVYyVZzIvKwebqdkUfNAyo/v1Q7VQF+m20RFumyJi3Zkmg37wH4Ve9qTY74SSovQKwTcrnwsN52tnlZddIJQeYjr+mCo/JixFe1HnBKGCLn5VFxydPOQ3E+kLEXSN8NpO8CivMqX/PyBiIv0G52x3Q1rEXbGcgUoVoCLjGw1CYh17dLT7K6XtXKOHPpMSYxUpL0kAB51OJliL/WnV2WYLacE5Grz9NNBt5JP32oItHeDhRkWr3oBTRtWzk2LMBNLmpciCS/Unk90K/mOVkt4+iKtAuNynF0WitBzhmZm1y7AJGpYPS5yo9n1d5lz8/bq1pSLhch1q3mcmHCucuJiBogBssNbkmyM3ZX7zbuEwjEdAFiumlF0dizzDJFqCzRYbX3tLOOjVpSriXnWmysTNCl1VwtZ6nKXvXmtUyNppL0gMqEPLQiOdcTdn+f6tPSEhGpf9p5GjzE2e6km3y0ruP6nfQGLMJCDhxHV9GVPOEsLebSPV1PzKu2COgJ+pmSMhSXnX1KGF2Qn3fFxUbFRUdFC4F+ASIXHpKkSwsCW86JiKyGbmX+qcVhWUqqTEUZ2hyI7gxEddZufJ+j6jidOzaeTVFpmeWGdJ56LFHJuratRNtWVIq8Iq3lXN8X2XVrPQ/2125Uy2L73Ft7HuDDadSIPAz/VXdXEiX0O+myqClFrO6k+wZpd9Al0ZZA71PzWCtyXZL06oE+LqLmFnNRXFpeYzc9PSnXX5Pu7AXFZWpJy6l9PJ1enV3rtleZkEsyrrcG6N35JGlnMTgicjuF2UDmfi3RPrkPKKgyl5ZPABDVUUuyozu5zPhsdyEt0v4h3rWOM7duOc8r1hPziuS8IiG3PK94lAKpdW0918ee6wm5PIZWPOqJedXE3c+HU6oRuTIm3e42b2fmPiCzokXbujW76p10mV7ExG5QBBXIz1bkxrrVvKYWAeuWAr3YjVx8nMovUcu5uu1JlXZJzuVCQ28hsL4A0S845HV23SMip7zJfea0No3XqUPAyf1AXqrtPlKMVIqgSZ0U6VnWpDVjsAuQm8L6FKJnIzFSYp8eF+XmtDzPr2gtl0Wea+tlqodZuXULeh1IK7qWkPsixN8bQX6VsVGeS0+0YHn01x5Zq4XIuTDpdvUu4yrJluXP6lVOvf2BqAu0Fm0J8kFNjTpScqNW89jws1eul5ZzucDQE3JpKa/aSqBer+i2Jxcgsthz0WFJxv20bnqVrQKVCby8xlZ0InLImOycY1qCLfVRJNmWlm0bXkB4Cy3JlkJo0mWcPcrcOkbqY86jQs/dc1BmMVEzlFgl5RIn860TdKvEvbS8ohW9tPycN7OrtqRXTcYDq6yr1yv249AwIsdh0u1KinIr7qQf1Lqtqbmzrct0egERCUCzDlqLtszhyXFhZEDLeVMfPzQN9jtnt7384ooxdTW0BOQVlmit6xUXI/ZedEgrepBvZYIuyXnViw+9hUC/EGH3PSKq8QZ31tHKBFsKn5UVVW/JliRbkmtZJA77BfFkUo2kKGl4oCxnb0G3bkXXY6SeiEv8VEO+isosz2W7PMr+ti3pRXU7LpOXTTKut6BLfNTWtRsL+nbtubeaFo6Izo5Jt7OSJsD8jMruavJYtSVb7zLerL02NqxpOwZ5chnSCq0VYbP/okN71C4wcm2S9coWAvVXqGKu87PN6Vp1LLqWhHsjyL/Ko1WSbp2882KDyI2UFALZx4CsI1pdlKzk6uOx9QrjTdtoN7clyY5oCfic/UYj0fm2op9rDLqupKy8ogaLFittHlWiXuWxWBuTLje3VS2XM3Xr8m4dO9WsKxVJuDwGys1sfd3PersWR+U5u8CTJ2HS7SzKpCqm1Z10SbSrjsnWk2x1J72d1m2NU3qRB7D3okNvRZeLDNtEvaI1QFoF1AWIfhFSqqZXk4sOKSAnS11Jdzy9e55cREhiLhcb0squTf1W9UJEe+T0a0QGKy3SeoxJYi0t2RKD8+Tmdg0TPQdFauOwVfxto8Vi6U5D5IR87WhJtx4aVi0p12NlSRkKK9bPlJTjTEXLuj42XWJnST2SdfkrpMfHgCpxUmq4yGOAj0l7lGsAH28E+JnUcxVHTV6cKYVcBpNuo8aD5aZU3kWXO+o5KYC5yrhWmcpLCq9IgJdALwHfL9iQQyZy11Z065Z06+55emKudduruRufXGzoXd5PF9Q9UdeTdf0iw/qCQ2sV8DnLhQinYyNqEL+9pY3NrkoqiYcnaPFXhmzJc3YVJzcnw6v8fPwQYceoCD12npH4WFKmHtVziZOWRF1LztVrJRXrxaVqqlKz1awo9SFJt7SW6zfltcWkxcuKdf+KdT1R1x9lO+MpNSYm3Y3VTVxPrtXd9GNAeQ0X6L7BlQm2PIa35JhsokZuST/XWPSqFxvWSbrefU+/uNAuPvQLDdlejsJSreu7nqzb06quF8ex7r6nP7e+sNAvKgL95KKiYr2ixYAt7EQVZAx2UbaWXKsku6WWZPuH8hQR2Rk77Z30TorJVY+T2nqhJOylFc9Ly1XyLttkn8KSyjgq3eHtKcZa/fihtZ5XJO6ShOs3xLWkXNumv1a5j/Ye9TqTd6ojJt2OJP8i/DK9hqqmFXN0Wgd5Cfpyd53d1Yhc7mKjmR3vk67v+sWEdQtAQcVFhd7lvfJ55Xa5wJDW9cqLjHPPBVvT2DvrxFxvFdBbCKxbA6z38a94Lu+X707k8rrfAniPNvooiDyS3AAOlaWOPdJquumtknPp7l5inZSXoahim5a0VyTqFa/p8VRiqZrtr+J9gH03wKtSybjEUEsiXpmYWxJ068Tdapv0MtAf/bzZm81dMel2JFU+ORIoLtDuqKsEu2IJjmKCTeShXd+1Ymw+diXrcpEh4+Yqu+hpLezWd//1C47KpfLCQy5QhBp7V1b3uWGrkiK11km5fhHhV2NrgKnWfTgWjwzH2T2IXP6md31Y4qlK0LX4WFSRnFs/SvJeqD9a9qvcR7ZJ8i7013JQep7fDSrxtk7CJUHXHr1t1rUhATUn77JNX2e8dQ5Muh0tcRzgFyJX2g7/o4jIvS8y/HxkMSEc9rcMSAu73jJQmZxXTdSrJ+7WCb20CkjBufPpzmedvNfWElCX1gK9W59ceHA+diIiqk88hR3F5mpK3vXpTC1JeUkNyXtFQm69j+WxTB7LUVxWrmKs9fCzhmJJ5CWG1pC8+1ol8Nbr0rNNnuuJvK/1vuq5F4es2YFJt6OxujgROQFJTPVq6vaOvdMvLuSioLBiXLre4l5sdSFh3RJQfZvWWqBfSEjyXllA5/y69Ungr7yA0O7u297xr373X28lqKlVgIk8ERHVJXnXE9MQ//NLqfTWd4mVEleLrZJxWbdO3outHvXXKp9bv0eLt45I5K3rzNSemGvnRo/JvvLcktBrSbt1PLZ+r35e3amVnkk3ERGdkwQ9rZXZu14t7VXH4hXV0BJQU6KuXq8lmde79Wld5rU52c83gddJwK/s3meVkFdJ5C1JfJULB31f6f5oz7Q9RETk4a3vDUR6uKkEvEoCb52oW5L3snI1v7v+unpeZrY811+T/eW5Hn+tZ3FxBC9J6k0VCbhK2rXnvhXd5q2TdT1R1/bVbsZX3a4/12N2kzoWz20ITLqJiMigsXjnl7yXVVxQ6BcT2qOWqFtfXFTe/dda261bAaq2FlRN5FF0fol8m8gg3H1xu3q/n4iIqD6kh1uAqSLeBjTsOZTq8xIn9XhaU2KuXrck8OU2Cb0s2n4Sayu3V03qpZVeJf8Sj3F+w9qqkhvij1/VCY2FSTcREblk8i53suXOd1AD3ajWx+dZkvVaEnnrRL2mRN5ykVFarorOERERuROJvT7eQCAcE+PKyrVkXE/eqz7X46zE7BJ5rj9WJPiyn3ZjQGuxV/tWPNe3B/s1bnxm0k1ERFRlfF6wP08JERGREbxNXvDWW+ndBEtqExERERERETkIk24iIiIiIiIiB2HSTUREREREROQgTLqJiIiIiIiIHIRJNxEREdXL7Nmz0bp1awQEBCApKQnr1q076/5ffPEFOnXqpPbv3r07fvzxR555IiJye0y6iYiIyG6LFi3ClClTMH36dGzatAk9e/bEsGHDkJ6eXuP+v//+O0aPHo0JEyZg8+bNGDFihFp27NjBs09ERG7N5I53ymWu1WnTpqF58+YIDAzE0KFDsW/fPgd/CyIiIs/xxhtvYOLEiRg/fjy6dOmCOXPmICgoCPPmzatx/zfffBNXXnklHnnkEXTu3BnPPfcc+vTpg7fffrvRj52IiMijkm5H3Cl/5ZVX8NZbb6kLgLVr1yI4OFh9ZmFhYSN+MyIiIvdUXFyMjRs3qpvaOpPJpNbXrFlT43tku/X+QmJzbfuLoqIi5OTk2CxERESuxuRud8qllXvmzJl46qmncP3116NHjx746KOPcOLECXzzzTeN/O2IiIjcT2ZmJsrKyhATE2OzXdZTU1NrfI9st2d/MWPGDISHh1uWhISEBvoGREREHpJ0O+JO+aFDh1QAt95HArV0W6/tM3knnYiIyPlMnToV2dnZluXo0aNGHxIREZFrJd2OuFOuP9rzmbyTTkREVHeRkZHw9vZGWlqazXZZj42NrfE9st2e/YW/vz/CwsJsFiIiIlfjY/QBOMuddBlXrpO76S1btuTYMSIicgr6WGYZQuUM/Pz8kJiYiGXLlqm6KqK8vFytT5o0qcb3DBgwQL0+efJky7alS5eq7XWlf3+O7SYiIleKzz7udqdcf5RtUr3cep9evXrVeiddlqonj2PHiIjImeTm5qohU85AblaPHTsWffv2Rf/+/VU9lfz8fFWjRYwZMwbx8fGqN5l48MEHMWTIELz++usYPnw4Fi5ciA0bNuD999+36/sLxmciInKl+OzjbnfK27RpoxJv2UdPsiWJlirm9957b52OKy4uTo0bCw0NhZeX13l9R/mz5eJAPs8dusW50/dxp+/ibt/Hnb6Lu30fd/ourvR95A66BHSJT85i5MiRyMjIUFN0yvAtiblLliyxDO9KTk5WdVp0F110ET777DNV6PSJJ55Ahw4dVIHTbt261fnPZHx2/f+XPe27uNv3cafv4m7fx52+izvGZx93u1MuSbIk5M8//7wK6JKEP/300+pE6In9uchFQosWLRr0e7rbWDR3+j7u9F3c7fu403dxt+/jTt9FuML3cZYWbmtyg7y2m+QrVqyotu2WW25RS30xPrvH/8ue+F3c7fu403dxt+/jTt/FneKzjzveKX/00UdV4n733XcjKysLgwYNUp8ZEBBgyHckIiIiIiIiz2R40u2IO+XS2v3ss8+qhYiIiIiIiMgjpwzzBFKgbfr06TaF2lyZO30fd/ou7vZ93Om7uNv3cafv4o7fhzz3t3en7+NO38Xdvo87fRd3+z7u9F3c8ft4mZ1l/hEiIiIiIiIiN8OWbiIiIiIiIiIHYdJNRERERERE5CBMuomIiIiIiIgchEm3g82ePRutW7dW05UlJSVh3bp1cHYyJ3q/fv0QGhqK6OhoNb/53r17bfYpLCzE/fffj2bNmiEkJAQ33XQT0tLS4Oxeeukly1zurvpdjh8/jttvv10db2BgILp3767mqtdJmQaZgq958+bq9aFDh2Lfvn1wNmVlZXj66afRpk0bdZzt2rXDc889p47fFb7L//73P1x77bWIi4tT/0/J1IXW6nLsp06dwm233abmn4yIiMCECROQl5fnVN+lpKQEjz32mPr/LDg4WO0zZswYnDhxwim/S11+G2v33HOP2mfmzJlO+33IMRifnQvjs/NgfHauGOBOMfp/HhyfmXQ70KJFizBlyhRVeW/Tpk3o2bMnhg0bhvT0dDizlStXqiT0jz/+wNKlS9Vf6CuuuELNfa77v//7P/znP//BF198ofaXv9w33ngjnNn69evx3nvvoUePHjbbXem7nD59GgMHDoSvry9++ukn7Nq1C6+//jqaNGli2eeVV17BW2+9hTlz5mDt2rXqH2H5/05uLjiTl19+Ge+++y7efvtt7N69W63Lsc+aNcslvov8fZC/03LhXpO6HLsEjZ07d6q/Z99//70KRnfffTec6bsUFBSof7/kBok8Ll68WN2Eu+6662z2c5bvUpffRvf111+rf+ck+FflTN+HGh7js3NhfDY+plljfHauGOBOMTrfk+OzVC8nx+jfv7/5/vvvt6yXlZWZ4+LizDNmzHCpU56eni5Nj+aVK1eq9aysLLOvr6/5iy++sOyze/dutc+aNWvMzig3N9fcoUMH89KlS81DhgwxP/jggy75XR577DHzoEGDan29vLzcHBsba3711Vct2+Q7+vv7m//973+bncnw4cPNd955p822G2+80Xzbbbe53HeR/1++/vpry3pdjn3Xrl3qfevXr7fs89NPP5m9vLzMx48fNzvLd6nJunXr1H5Hjhxx6u9ytu9z7Ngxc3x8vHnHjh3mVq1amf/5z39aXnPm70MNg/HZeTA+O19MY3x23hjgTjEaHhaf2dLtIMXFxdi4caPqUqozmUxqfc2aNXAl2dnZ6rFp06bqUb6XtH5bf7dOnTqhZcuWTvvdpOV++PDhNsfsit/lu+++Q9++fXHLLbeorv+9e/fG3LlzLa8fOnQIqampNt8nPDxcDW1wtu9z0UUXYdmyZfjzzz/V+tatW7F69WpcddVVLvddqqrLscujdIuS31Mn+8u/E9Iy7uz/JkiXLzl+V/wu5eXluOOOO/DII4+ga9eu1V53te9D9mF8di6Mz84X0xifXTsGuHKMLnfj+Oxj9AG4q8zMTDUmJiYmxma7rO/ZsweuQv7nl/HP0qW5W7duapskE35+fpa/zNbfTV5zNgsXLlRdbqT7WlWu9l0OHjyoumTLsIUnnnhCfae///3v6juMHTvWcsw1/X/nbN/n8ccfR05OjrrJ4e3trf6+vPDCC6rbkHCl71JVXY5dHuXGiTUfHx91c8uZv590j5fxY6NHj1bjqVzxu0jXSTk++btTE1f7PmQfxmfnwfjsnDGN8dl1Y4Crx+iX3Tg+M+mmc96B3rFjh2qBdEVHjx7Fgw8+qMZ9SDE7Vyc3QeTu3osvvqjWpaVbfh8ZNyxJtyv5/PPP8emnn+Kzzz5TdzO3bNmibvDI+B1X+y6eQnqF3HrrrapInNz8cUXSu+XNN99UN+KkJYDIVTE+OxfGZzKaq8fojW4en9m93EEiIyNV613VKtiyHhsbC1cwadIkVaBg+fLlaNGihWW7HL90z8vKynL67yZ/gaVwXZ8+fdSdMFmkWJoUuJLncofZVb6LkErYXbp0sdnWuXNnJCcnq+f6MbvC/3fSdUjupo8aNUpV3ZTuRFLUTqrnu9p3qaouxy6PVYsqlpaWqqqczvj99GB+5MgRdRNLv4Puat9l1apV6lhlCIn+b4J8p4ceekjNNOFq34fsx/jsHBifnTemMT67Xgxwhxi9ys3jM5NuB5HuvomJiWrMqvVdUFkfMGAAnJncIZOEWyoH/vrrr2pKJ2vyvaR6tvV3k0qJkvg523e77LLLsH37dtWKqi/SUixdmPXnrvJdhHTzrzp9m4yJbtWqlXouv5X8o2P9faQLt4xzcbbvIxU3ZQyONblRJX9PXO27VFWXY5dHudkjF546+fsm31/GfjtjMJcpz3755Rc1XZ01V/oucnNn27ZtNv8mSO8Kucj8+eefXe77kP0Yn50D47PzxjTGZ9eKAe4So+9w9/hsdCU3d7Zw4UJVrXj+/Pmq2t7dd99tjoiIMKemppqd2b333msODw83r1ixwpySkmJZCgoKLPvcc8895pYtW5p//fVX84YNG8wDBgxQiyuwrl7uat9FKlL6+PiYX3jhBfO+ffvMn376qTkoKMj8ySefWPZ56aWX1P9n3377rXnbtm3m66+/3tymTRvzmTNnzM5k7Nixqjrl999/bz506JB58eLF5sjISPOjjz7qEt9FKu5u3rxZLfJP6RtvvKGe69VC63LsV155pbl3797mtWvXmlevXq0q7I8ePdqpvktxcbH5uuuuM7do0cK8ZcsWm38TioqKnO67nOv71KRqdVRn+z7U8BifnRPjs3NgfHauGOBOMTrXg+Mzk24HmzVrlkro/Pz81BQlf/zxh9nZyV+CmpYPP/zQso8kDvfdd5+5SZMmKum74YYb1F9wVwzqrvZd/vOf/5i7deumbuh06tTJ/P7779u8LtNVPf300+aYmBi1z2WXXWbeu3ev2dnk5OSo30H+fgQEBJjbtm1rfvLJJ22ChDN/l+XLl9f490QuVup67CdPnlSBIiQkxBwWFmYeP368CkjO9F3khkht/ybI+5ztu5zr+9Q1qDvT9yHHYHx2PozPzoHx2bligDvF6OUeHJ+95D9Gt7YTERERERERuSOO6SYiIiIiIiJyECbdRERERERERA7CpJuIiIiIiIjIQZh0ExERERERETkIk24iIiIiIiIiB2HSTUREREREROQgTLqJiIiIiIiIHIRJNxEREREREZGDMOkmIiIiIiIichAm3UR0VuPGjYOXl5dafH19ERMTg8svvxzz5s1DeXk5zx4REZEBGJ+JXAeTbiI6pyuvvBIpKSk4fPgwfvrpJ/zlL3/Bgw8+iGuuuQalpaU8g0RERAZgfCZyDUy6ieic/P39ERsbi/j4ePTp0wdPPPEEvv32W5WAz58/X+3zxhtvoHv37ggODkZCQgLuu+8+5OXlqdfy8/MRFhaGL7/80uZzv/nmG7V/bm4uiouLMWnSJDRv3hwBAQFo1aoVZsyYwV+HiIiI8ZnIpTHpJqJ6ufTSS9GzZ08sXrxY+8fEZMJbb72FnTt3YsGCBfj111/x6KOPqtcksR41ahQ+/PBDm8+Q9ZtvvhmhoaHqvd999x0+//xz7N27F59++ilat27NX4eIiIjxmcil+Rh9AETkujp16oRt27ap55MnT7Zsl2T5+eefxz333IN33nlHbbvrrrtw0UUXqW7q0pqdnp6OH3/8Eb/88ot6PTk5GR06dMCgQYPU+HFp6SYiIiLGZyJXx5ZuIqo3s9msEmQhyfNll12muqBLy/Udd9yBkydPoqCgQL3ev39/dO3aVbWCi08++UQl1hdffLGlIMyWLVvQsWNH/P3vf8d///tf/jJERESMz0Quj0k3EdXb7t270aZNG1VgTYqq9ejRA1999RU2btyI2bNnq31krLZOWrv1MeDStXz8+PGWpF3Gih86dAjPPfcczpw5g1tvvVV1PSciIiLGZyJXxqSbiOpFxmxv374dN910k0qyZfqw119/HRdeeCEuuOACnDhxotp7br/9dhw5ckSN3961axfGjh1r87oUWxs5ciTmzp2LRYsWqQT+1KlT/IWIiIgYn4lcFsd0E9E5FRUVITU1FWVlZUhLS8OSJUtUZXFp3R4zZgx27NiBkpISzJo1C9deey1+++03zJkzp9rnNGnSBDfeeCMeeeQRXHHFFWjRooXlNal+LmO9e/furYqyffHFF6piekREBH8hIiIixmcil8WWbiI6J0myJSGWAmkyJ+jy5ctVa7VMG+bt7a2qmEvS/PLLL6Nbt26q8nht031NmDBBdTm/8847bbbLOPBXXnkFffv2Rb9+/VSXdSm0Jgk4ERERMT4TuSovs1RCIiJqJB9//DH+7//+T3U/9/Pz43knIiJyAozPRI7D7uVE1CikirlMF/bSSy/hb3/7GxNuIiIiJ8D4TOR47LdJRI1Cuo7LvN4yTnvq1Kk860RERE6A8ZnI8di9nIiIiIiIiMhB2NJNRERERERE5CBMuomIiIiIiIgchEk3ERERERERkYMw6SYiIiIiIiJyECbdRERERERERA7CpJuIiIiIiIjIQZh0ExERERERETkIk24iIiIiIiIiB2HSTURERERERATH+H+Oe/7c/4k6cwAAAABJRU5ErkJggg==",
-      "text/plain": [
-       "<Figure size 1000x400 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "clt.plot_metapop_epi_metrics(flu_demo_model)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "id": "27d96687",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "0.003\n",
-      "0.004\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Print the %population exposed for east and west Austin,\n",
-    "# knowing that some individuals are exposed twice since have R to S, many protected by immunity, but possibly not all\n",
-    "print(round(np.sum(np.asarray(east.transition_variables.S_to_E.history_vals_list))/NumIndiv_east,3))\n",
-    "print(round(np.sum(np.asarray(west.transition_variables.S_to_E.history_vals_list))/NumIndiv_west,3))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "id": "c9415928",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "7\n",
-      "14\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Print the per capita number of hospitalizations for east and west Austin\n",
-    "east_IS_to_H = np.asarray(east.transition_variables.ISH_to_HR.history_vals_list) + \\\n",
-    "    np.asarray(east.transition_variables.ISH_to_HD.history_vals_list)\n",
-    "west_IS_to_H = np.asarray(west.transition_variables.ISH_to_HR.history_vals_list) + \\\n",
-    "    np.asarray(west.transition_variables.ISH_to_HD.history_vals_list)\n",
-    "eastHosp = round(np.sum(east_IS_to_H)/NumIndiv_east*100000)\n",
-    "westHosp = round(np.sum(west_IS_to_H)/NumIndiv_west*100000)\n",
-    "eastHosp = round(np.sum(east_IS_to_H))\n",
-    "westHosp = round(np.sum(west_IS_to_H))\n",
-    "print(eastHosp)\n",
-    "print(westHosp)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "id": "d82f03ea",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "97\n",
-      "97\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Timing of hospitalization peak, first for East\n",
-    "# First need to sum over all \"H\" compartments\n",
-    "hospit_compartment_names = [name for name in east.compartments.keys() if \"H\" in name]\n",
-    "hospit_compartments_history = [east.compartments[compartment_name].history_vals_list for compartment_name in hospit_compartment_names]\n",
-    "total_hospitE = np.sum(np.asarray(hospit_compartments_history), axis=(0, 2, 3))\n",
-    "print(np.argmax(total_hospitE))\n",
-    "\n",
-    "# then for West\n",
-    "hospit_compartment_names = [name for name in west.compartments.keys() if \"H\" in name]\n",
-    "hospit_compartments_history = [west.compartments[compartment_name].history_vals_list for compartment_name in hospit_compartment_names]\n",
-    "total_hospitW = np.sum(np.asarray(hospit_compartments_history), axis=(0, 2, 3))\n",
-    "print(np.argmax(total_hospitW))\n",
-    "\n",
-    "# Peak hospitalizations was 4 in West on 1/24/24 and 6 in East on 1/29/24"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "9f84f62e",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "95\n",
-      "88\n",
-      "88\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Timing of infected peak, first for East\n",
-    "# First need to sum over all \"I\" compartments\n",
-    "infected_compartment_names = [name for name in east.compartments.keys() if \"I\" in name or \"H\" in name]\n",
-    "infected_compartments_history = [east.compartments[compartment_name].history_vals_list for compartment_name in infected_compartment_names]\n",
-    "total_infectedE = np.sum(np.asarray(infected_compartments_history), axis=(0, 2, 3))\n",
-    "print(np.argmax(total_infectedE))\n",
-    "\n",
-    "# then for West\n",
-    "infected_compartment_names = [name for name in west.compartments.keys() if \"I\" in name or \"H\" in name]\n",
-    "infected_compartments_history = [west.compartments[compartment_name].history_vals_list for compartment_name in infected_compartment_names]\n",
-    "total_infectedW = np.sum(np.asarray(infected_compartments_history), axis=(0, 2, 3))\n",
-    "print(np.argmax(total_infectedW))\n",
-    "\n",
-    "# and finally total\n",
-    "total_infected = np.asarray(total_infectedE+total_infectedW)\n",
-    "print(np.argmax(total_infectedW))\n",
-    "# Peak infection usually occurs ~2 weeks prior.\n",
-    "# [Comparing peak ILI and peak in hospitalizations: https://www.cdc.gov/flu/whats-new/flu-summary-2023-2024.html]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "id": "0e49b6d6",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "0.63\n",
-      "0.63\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Print the % of recovered that become susceptible again for east and west Austin\n",
-    "# It's the same since this is just based on rates of being recovered and going to susceptible, \n",
-    "#    which is same in two subpopulations\n",
-    "numRtoS_east = np.sum(np.asarray(east.transition_variables.R_to_S.history_vals_list))\n",
-    "numIAtoR_east = np.sum(np.asarray((east.transition_variables.IA_to_R.history_vals_list)))\n",
-    "numISRtoR_east = np.sum(np.asarray((east.transition_variables.ISR_to_R.history_vals_list)))\n",
-    "numHRtoR_east = np.sum(np.asarray((east.transition_variables.HR_to_R.history_vals_list)))\n",
-    "numR_east = numIAtoR_east + numISRtoR_east + numHRtoR_east\n",
-    "print(round(numRtoS_east/numR_east,2))\n",
-    "\n",
-    "numRtoS_west = np.sum(np.asarray(east.transition_variables.R_to_S.history_vals_list))\n",
-    "numIAtoR_west = np.sum(np.asarray((east.transition_variables.IA_to_R.history_vals_list)))\n",
-    "numISRtoR_west = np.sum(np.asarray((east.transition_variables.ISR_to_R.history_vals_list)))\n",
-    "numHRtoR_west = np.sum(np.asarray((east.transition_variables.HR_to_R.history_vals_list)))\n",
-    "numR_west = numIAtoR_west + numISRtoR_west + numHRtoR_west\n",
-    "print(round(numRtoS_west/numR_west,2))\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "de2150aa",
-   "metadata": {},
-   "source": [
-    "Printing Results to File"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "id": "575a4a09",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "## Print to file the value of M over time in East and West -- changing all M to MV would do the same for MV\n",
-    "## First line sums across risk group, so end up with array that just varies over age and time\n",
-    "#MV_East = np.sum(np.asarray(east.epi_metrics.MV.history_vals_list), axis=(2))\n",
-    "#MV_West = np.sum(np.asarray(west.epi_metrics.MV.history_vals_list), axis=(2))\n",
-    "#np.savetxt('MV_East.csv', MV_East,'%1.3f',',')\n",
-    "#np.savetxt('MV_West.csv', MV_West,'%1.3f',',')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "id": "3f7c0559",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "## Print to file number of infected over time across all age groups\n",
-    "#np.savetxt('I_E.csv', total_infectedE,'%1.0f',',')\n",
-    "#np.savetxt('I_W.csv', total_infectedW,'%1.0f',',')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "id": "c72badea",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "## Print to file the total number of recovered in west and the number of transitions from R to S (could extend to get east also)\n",
-    "## to get total_recoveredW, sum across subpop, age and risk, so end up with array that just varies over time (axis=1)\n",
-    "## to get total_RtoS, sum across age and risk group, so end up with array that just varies over time\n",
-    "#recovered_compartment_names = [name for name in west.compartments.keys() if \"R\" in name]\n",
-    "#recovered_compartments_history = [west.compartments[compartment_name].history_vals_list for compartment_name in infected_compartment_names]\n",
-    "#total_recoveredW = np.sum(np.asarray(recovered_compartments_history), axis=(0, 2, 3))\n",
-    "#total_RtoS = np.sum(np.asarray(west.transition_variables.R_to_S.history_vals_list), axis=(1))\n",
-    "#np.savetxt('numRtoS.csv', total_RtoS,'%1.0f',',')\n",
-    "#np.savetxt('numR_west.csv', total_recoveredW, '%1.0f',',')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "id": "fab47835",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "## Print to file the total number of exposed over time, this time preserving different age groups\n",
-    "## First line sums across risk group, so end with time x age matrix.  Need a 2D array for np.savetxt\n",
-    "#ExposedW = np.sum(np.asarray(west.compartments.E.history_vals_list), axis=(2))\n",
-    "#np.savetxt('Exposed_West.csv', ExposedE, '%1.0f', ',')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "id": "0fd4db33",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "## Print to file the total number of deaths over time, this time preserving different age groups\n",
-    "## First line sums across risk group, so end with time x age matrix.  Need a 2D array for np.savetxt\n",
-    "#Deaths = np.sum(np.asarray(east.compartments.D.history_vals_list), axis=(2))\n",
-    "#np.savetxt('Deaths.csv', Deaths, '%1.0f', ',')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "1bd8ef95",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.12.7"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/flu_instances/examples/flu_demo_2popAustin_2024_2025.ipynb b/flu_instances/examples/flu_demo_2popAustin_2024_2025.ipynb
deleted file mode 100644
index 610d159..0000000
--- a/flu_instances/examples/flu_demo_2popAustin_2024_2025.ipynb
+++ /dev/null
@@ -1,682 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "42ab1932-d72e-45f2-b27e-c628c62d08a1",
-   "metadata": {},
-   "source": [
-    "# Overview"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "5884588d-2b40-45ff-adcd-94dfd0fc0463",
-   "metadata": {},
-   "source": [
-    "Simple demo with flu model with \"toy\" (not necessarily realistic or finalized) parameters\n",
-    "\n",
-    "We go over\n",
-    "- How to set up subpopulation models and metapopulation models.\n",
-    "- How to run accept-reject algorithm.\n",
-    "- How to run experiments to organize output of multiple replications. "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "01e5a95f-6833-4723-b369-e03eb1f64025",
-   "metadata": {},
-   "source": [
-    "# Imports"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "8948cfc7-d6fa-45b3-b98d-c7f81379ceec",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Misc: suppress SSE4.2 deprecation warnings\n",
-    "# This is not an error, just a warning about future hardware compatibility (not relevant in general)\n",
-    "import os\n",
-    "os.environ[\"MKL_DEBUG_CPU_TYPE\"] = \"5\" \n",
-    "\n",
-    "from pathlib import Path\n",
-    "import numpy as np\n",
-    "import pandas as pd\n",
-    "\n",
-    "# Import city-level transmission base components module\n",
-    "import clt_toolkit as clt\n",
-    "\n",
-    "# Import flu model module, which contains customized subclasses\n",
-    "import flu_core as flu\n",
-    "\n",
-    "# Import immunity module, which contains some nice graphing functions\n",
-    "#import toy_immunity_core as imm\n",
-    "\n",
-    "import json"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "71a20de2-2c0a-4d20-bcf6-af57f2a8a30f",
-   "metadata": {},
-   "source": [
-    "# Reading Input Files"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "00b59007-7bde-4453-b6bd-943e7ad2e6b8",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Note that this can be cumbersome due to the complexity of the model \n",
-    "# Users may prefer to create the model inputs or even the models themselves in a separate .py file and import them! \n",
-    "\n",
-    "# Obtain path to folder with JSON input files\n",
-    "base_path = clt.utils.PROJECT_ROOT / \"flu_instances\" / \"austin_input_files_2024_2025\"\n",
-    "\n",
-    "# Get filepaths for east subpopulation\n",
-    "east_compartments_epi_metrics_init_vals_filepath = base_path / \"init_vals_east.json\"\n",
-    "\n",
-    "\n",
-    "# Read in files as dictionaries and dataframes for east subpopulation\n",
-    "# Note that we can also create these dictionaries directly\n",
-    "#   rather than reading from a predefined input data file.\n",
-    "east_state = clt.make_dataclass_from_json(east_compartments_epi_metrics_init_vals_filepath,\n",
-    "                                     flu.FluSubpopState)\n",
-    "east_vaccines_df = pd.read_csv(base_path / \"daily_vaccines_East.csv\", index_col=0)\n",
-    "east_calendar_df = pd.read_csv(base_path / \"school_work_calendar_austin_East.csv\", index_col=0)\n",
-    "\n",
-    "# Get filepaths for west subpopulation\n",
-    "west_compartments_epi_metrics_init_vals_filepath = base_path / \"init_vals_west.json\"\n",
-    "\n",
-    "# Read in files as dictionaries and dataframes for west subpopulation\n",
-    "# Note that we can also create these dictionaries directly\n",
-    "#   rather than reading from a predefined input data file.\n",
-    "west_state = clt.make_dataclass_from_json(west_compartments_epi_metrics_init_vals_filepath,\n",
-    "                                     flu.FluSubpopState)\n",
-    "west_vaccines_df = pd.read_csv(base_path / \"daily_vaccines_West.csv\", index_col=0)\n",
-    "west_calendar_df = pd.read_csv(base_path / \"school_work_calendar_austin_West.csv\", index_col=0)\n",
-    "\n",
-    "# Get filepaths for files shared across subpopulations\n",
-    "subpop_params_filepath = base_path / \"common_subpop_params.json\"\n",
-    "mixing_params_filepath = base_path / \"mixing_params.json\"\n",
-    "simulation_settings_filepath = base_path / \"simulation_settings.json\"\n",
-    "\n",
-    "humidity_df = pd.read_csv(base_path / \"absolute_humidity_austin.csv\", index_col=0)\n",
-    "mobility_modifier_df = pd.read_csv(base_path / \"mobility_modifier.csv\", index_col=0)\n",
-    "\n",
-    "# Read in files as dictionaries and dataframes for files shared across subpopulations\n",
-    "# Note that we can also create these dictionaries directly\n",
-    "#   rather than reading from a predefined input data file.\n",
-    "params = clt.make_dataclass_from_json(subpop_params_filepath, flu.FluSubpopParams)\n",
-    "mixing_params = clt.make_dataclass_from_json(mixing_params_filepath, flu.FluMixingParams)\n",
-    "settings = clt.make_dataclass_from_json(simulation_settings_filepath, flu.SimulationSettings)\n",
-    "\n",
-    "# Set the schedules for each subpopulation\n",
-    "east_schedules_info = flu.FluSubpopSchedules(absolute_humidity=humidity_df,\n",
-    "                                        flu_contact_matrix=east_calendar_df,\n",
-    "                                        daily_vaccines=east_vaccines_df,\n",
-    "                                        mobility_modifier=mobility_modifier_df)\n",
-    "west_schedules_info = flu.FluSubpopSchedules(absolute_humidity=humidity_df,\n",
-    "                                        flu_contact_matrix=west_calendar_df,\n",
-    "                                        daily_vaccines=west_vaccines_df,\n",
-    "                                        mobility_modifier=mobility_modifier_df)\n",
-    "\n",
-    "# Create two independent bit generators\n",
-    "bit_generator = np.random.MT19937(88888)\n",
-    "jumped_bit_generator = bit_generator.jumped(1)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "d1ab0b6c-6e75-4473-9e86-dac59e2d44fe",
-   "metadata": {},
-   "source": [
-    "# Creating Subpopulation Models"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "id": "9b601dd8-4d09-4bbb-a1e9-3b7d689b48fe",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/rfp437/Work/CityLevelTransmission/CLT_BaseModel/flu_core/flu_components.py:497: UserWarning: Vaccine immunity reset date is set as 07/30. \n",
-      "Initial vaccine-induced immunity value is being adjusted by resetting immunity to 0 at that date, and by taking into account vaccines administered after this date, and before simulation start date.\n",
-      "  warnings.warn(msg)\n",
-      "/Users/rfp437/Work/CityLevelTransmission/CLT_BaseModel/flu_core/flu_components.py:497: UserWarning: Vaccine immunity reset date is set as 07/30. \n",
-      "Initial vaccine-induced immunity value is being adjusted by resetting immunity to 0 at that date, and by taking into account vaccines administered after this date, and before simulation start date.\n",
-      "  warnings.warn(msg)\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Create two subpopulation models, one for the east\n",
-    "#   side of the city and one for the west side of the city\n",
-    "# In this case, these two (toy) subpopulations have the\n",
-    "#   same demographics, initial compartment and epi metric values,\n",
-    "#   fixed parameters, and school-work calendar.\n",
-    "# If we wanted the \"east\" subpopulation and \"west\"\n",
-    "#   subpopulation to have different aforementioned values,\n",
-    "#   we could read in two separate sets of files -- one\n",
-    "#   for each subpopulation.\n",
-    "east = flu.FluSubpopModel(east_state,\n",
-    "                           params,\n",
-    "                           settings,\n",
-    "                           np.random.Generator(bit_generator),\n",
-    "                           east_schedules_info,\n",
-    "                           name=\"east\")\n",
-    "\n",
-    "west = flu.FluSubpopModel(west_state,\n",
-    "                           params,\n",
-    "                           settings,\n",
-    "                           np.random.Generator(jumped_bit_generator),\n",
-    "                           west_schedules_info,\n",
-    "                           name=\"west\")\n",
-    "\n",
-    "# If a metapopulation model has N subpopulations that have most of their parameters in common,\n",
-    "#    users can make a JSON file with common parameters, and N smaller JSON files with\n",
-    "#    parameters that are specific to each subpopulation.\n",
-    "# We recommend using `clt_toolkit / utils` functions `updated_dataclass()` and `updated_dict()` for this."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "ff3d3a32",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "489273.0\n",
-      "677575.0\n"
-     ]
-    }
-   ],
-   "source": [
-    "## Determine the total number of individuals in each subpopulation to compute per capita statistics\n",
-    "NumIndiv_east = np.sum(east.params.total_pop_age_risk)\n",
-    "NumIndiv_west = np.sum(west.params.total_pop_age_risk)\n",
-    "print (NumIndiv_east)\n",
-    "print (NumIndiv_west)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "9a4aabdc-9883-4e45-a371-199b7145de25",
-   "metadata": {},
-   "source": [
-    "# Modifying Parameters"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "id": "a78193bf-7989-4779-91ab-5772771f7375",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "0.031\n",
-      "0.031\n"
-     ]
-    }
-   ],
-   "source": [
-    "# We can also manually change a fixed parameter value\n",
-    "#   after we have created a SubpopModel -- like so...\n",
-    "# Note that this is quite a large and unrealistic value of\n",
-    "#   beta_baseline, but we'll use this to create\n",
-    "#   a dramatic difference between the two subpopulations.\n",
-    "#east.params = clt.updated_dataclass(east.params, {\"beta_baseline\": 0.031})\n",
-    "#west.params = clt.updated_dataclass(east.params, {\"beta_baseline\": 0.031})\n",
-    "\n",
-    "# The structure of the code allows us to access\n",
-    "#   the current state and fixed parameters of each\n",
-    "#   subpopulation model.\n",
-    "# For example, here we print out the fixed parameter\n",
-    "#   value for beta_baseline for the \"west\" subpopulation.\n",
-    "print(east.params.beta_baseline)\n",
-    "print(west.params.beta_baseline)\n",
-    "#print(west.state.MV)\n",
-    "#print(east.state.MV)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "eef0842e-bab0-4be0-a65a-9f48b7e6cfa9",
-   "metadata": {},
-   "source": [
-    "# Create Metapopulation Model"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "id": "f44aa524-3dc7-4010-9863-f0fc5b89585e",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Combine two subpopulations into one metapopulation model (travel model)\n",
-    "flu_demo_model = flu.FluMetapopModel([east, west],\n",
-    "                                     mixing_params)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "f7a1c0e4-76e4-4d89-ab43-a8d67776cbec",
-   "metadata": {},
-   "source": [
-    "# Simulation and Analysis"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "id": "b3aa79bb-11df-47fc-b581-70849b26ca1a",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "0 2024-08-14\n",
-      "150 2025-01-11\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Get the current real date of the simulation and the\n",
-    "#   current simulation day\n",
-    "print(flu_demo_model.current_simulation_day, flu_demo_model.current_real_date)\n",
-    "\n",
-    "# Simulate for a given number of days\n",
-    "flu_demo_model.simulate_until_day(150)\n",
-    "\n",
-    "# Get the current real date of the simulation and the\n",
-    "#   current simulation day\n",
-    "print(flu_demo_model.current_simulation_day, flu_demo_model.current_real_date)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "id": "5c0e8cf6-8f53-485f-9bcd-84da258d8fc6",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1000x400 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Generate simple compartment history plot for flu model\n",
-    "clt.plot_metapop_basic_compartment_history(flu_demo_model)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "id": "a63278ef",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1000x400 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "clt.plot_metapop_total_infected(flu_demo_model)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "id": "97e9edf4",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 1000x400 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "clt.plot_metapop_TransitionVariable(flu_demo_model)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "id": "41c5c693",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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VeG9HOgoqauHs6IBr+kSoKeVs42Q5GJ+JiOxLWXUdPt17Fkd+vxgeH+SpZp8Fe5t31rNZk+78/HxoNBrD+i892T569GiLr5O2ITI1WhJlKb4iPT+lIFjjqeWTJ09GQkICTp06hccffxxXX321SuSbK9Yi7UqefPJJ2DO5gMEvikRErSNX0D/fdxZ1Gh0CPF3wx6GxiA7w5MdHjM9ERGZy8GyJSrgrazXqYviVPcMwqkswHB0vfWaw1U8vbw8fHx9VsKW8vFy1J5E14Z06dTJMPZ82bZphX+kF2rdvX3Tu3FmNfsva5XPJSLu8R+OR7piYmDZN85ZR544mf66xSOVZuUhBREQtk0rkMl1tZ0qh2u4e5o1bh8TA09Uqw6nNY3wmIrJ9tfVafPlbpqFQWqSfu4rNYb7usBRm/ZYQHBysRp5zcnKaPC7bF1qPLVPQu3Tpou5LxVRJGGW0+tz13nqSkMufdfLkyWaTbln/fSmF1mSE2FjTvM1BpugfOHAADz74oLkPhYjIYpXX1GPNjjSkFVRCymmM6xGKP/QI5SwhC8b4TERk23JLq/H+rnTklNao2DymW4iKz5bWOcSsSbdUHx80aJAarZ40aZJ6TPpFy3ZL1VCbI69pvCb7XGfOnEFBQQEiIiJg7+Rzys7OVtP65eKGtHeRCxbSMkx6qhIRUfNBfdX2VBRV1sHdxRHThsSie7gPPypifCYiMpM96UX4fO9Z1Gp08HF3xtQhMegc4m2Rvw+zz4eTad0zZ85UvbcTExNVy7CKigpDNXNJBGX9tiSGQn7KvjJdXBLIb775RvXpXrZsmXpeppzL+uwpU6ao0XJZ0/3oo4+qkfHG1c3tlSTZcvFBWrdIkTmpWv7KK6+o34HMICAioqZO5JThvZ3pqgJqkJcrZoyIQ6iP5UxZI9vA+ExE1Prp5F/8lqnqq4guod64dXC0RXcOMXvSPXXqVOTl5WHBggVqBFami0vg0RdXS09Pb5IMSkJ+3333qdFrDw8PVXV7zZo16n2ETFeXKtzSRqy4uBiRkZGYMGECnnrqKbvv1S19uOVGRESts+N0gVonptUBCcGeuG1oHLzczB46ycYwPhMRtb739rs70pBVUq2mk4+/LBRju4VaRLG0C3HQSdlqakIKqfn5+akq6b6+vk2eq66uRkpKiio65u5uHyMd9njORGTfJDR+cyAbW0/mq+2Bsf64aUCU2daIXSgu2RPG56YYn4nInpzMLccHu9JVdXJvNydMS4w1+3Ty1sZnXq4nIiJqRKPV4ZPkM9ibUay2J/QKw9huISyYRkREZKYL4dtPFeCbA1lq5ll0gAduHxoHP0/LnU5+LibdREREv6up1+CDnek4llMOmal286BoDIgN4OdDRERkBnUaLT7bexZ70hsuhA/4feaZi4VVJ78YJt1EREQAKmvrsXp7GtILK+Hi5KDWb7NCORERkfladb6b1BCX5UL4NX0iMKJzkFXOPGPSTUREdq+ksg4rt6Ugt6wGHi5OuHNEPGKDPO3+cyEiIjJXq87VSakorKhTcfmPQ2NVlXJrxaS7naQ3uL2wp3MlIvtTWFGLN385rXpw+3o4466RCQjzZdFIa2VPMcuezpWI7MepvHK8tyMdVXUa1apz5oh4hPi4wZox6W4jV1dX1cIsMzMTISEhatsapzi0tmhBbW2taukm5yznSkRkS/LKavDm1tMorapHiLcr7hqVAH9P/ltnjRifiYis3570IqzfcwYaLRAX5Inbh8XB2wZadVr/GXQwST6ldVZWVpZKvO2Bp6cnYmNjm/RLJyKyhalrb25NQVl1PUJ93HD36AT4uFtPJVRqivGZiMi6B/t+PJqLH47kqu2+0X6qmKm1FUxrCZPudl5NlyS0vr4eGo0GtszJyQnOzs42O5pPRPYpu6Qab209jfIaDSL83NUIty1cSbd3jM9ERNZHq9Xh89/OYldKkdoe2z0EE3qG2VT+wW8Y7ST/E7i4uKgbERFZj8ziKry1NQWVtRpE+Tck3J6uDIe2gvGZiMi6WoKt/TUDhzNLITn2jf0iMbRTEGwNv2UQEZFdJdxv/pKiirNEB3ioomkerk7mPiwiIiK7U1Wrwbs7UpGSXwlnRwdMHRKD3lF+sEVMuomIyI6mlDck3LGBnpg1Mh7uLky4iYiIOlpJVR1WbUtFdmk13JwdMWN4HDqFWG9LsIth0k1ERHZRNE3WcMuUchnhZsJNRERkHvnlNVi5NUW16vRxd1YxOcLPw6Z/HUy6iYjI5oO7jHBL0bRIKZo2MoEj3ERERGaQoy6CN3QOCfZ2xayRCQj0sv1WnUy6iYjIZhVW1Ko13KXV9Qj3dcfs0VzDTUREZA4ZhZVYtT1VzTqTmHzXqHi7adXJpJuIiGxSSWUd3vzltFo3Jn24JeFmlXIiIqKOl5JfgdXbU1FTr0VMoAfuHBFvVzHZNrqNExERNVJeU6/WcMt6MZm+Jgk3+3Ab39KlSxEfHw93d3cMHToUu3btanHfsWPHqnZe596uvfZa/r9LRGTDjueU4e1tKSrh7hzipZZ52VPCLZh0ExGRTamu0+DtrSnIK6+Fn4cLZo9KgK+dTF/rSOvWrcNDDz2EhQsXYs+ePejXrx8mTpyI3NzcZvdfv349srKyDLeDBw/CyckJt9xyS4cfOxERdYyDZ0vwTlIq6jQ69Aj3wcwR9tk5hEk3ERHZjNp6rQrumSXV8HZzUgm3v6ftF2gxh8WLF2POnDmYNWsWevbsieXLl8PT0xMrV65sdv/AwECEh4cbbt9//73an0k3EZFtSk4rwvu70qHRAn2j/XDb0Fi4ONln+mmfZ01ERDanXqPF+zvTkJJfCXcXR1URNcTHzdyHZZNqa2uRnJyM8ePHGx5zdHRU20lJSa16j7feegvTpk2Dl5eXCY+UiIjMYfupfHycfAY6HTA4LgBTB8fA2U4TbmFfk+mJiMgmabU6fJR8BsdyyuHi5KAKtET623bPT3PKz8+HRqNBWFhYk8dl++jRoxd9vaz9lunlknhfSE1NjbrplZaWXsJRExFRR9h8LBffHcpR90d2CcK1fSJUDQ97Zr+XG4iIyCbodDp8/ttZ7D9TArmIfvuwOMQFcfTUkkmy3adPHyQmJl5wv0WLFsHPz89wi4mJ6bBjJCKitsfjDQezDQn3uB6hTLh/x6SbiIis2sZD2diVUgS5iD51cCy6hfmY+5BsXnBwsCqClpPT8MVKT7ZlvfaFVFRUYO3atZg9e/ZF/5z58+ejpKTEcMvIyLjkYyciItMk3F/8lomfjuep7at7h2N8zzC7H+HWY9JNRERWa8uxXPx0PF/dnzwgCn2i/cx9SHbB1dUVgwYNwqZNmwyPabVatT18+PALvvajjz5SU8Zvv/32i/45bm5u8PX1bXIjIiLLXOK143ShugB+04AoXN4txNyHZVG4ppuIiKzSjtMF2Pj7FLZr+oRjcHyguQ/Jrki7sJkzZ2Lw4MFqmviSJUvUKLZUMxczZsxAVFSUmiJ+7tTySZMmISgoyExHTkRExixiuvbXDBzKLIWjA3DL4Bj0j/HnB3wOJt1ERGR19mUUq2ls4oruIRjdlVfUO9rUqVORl5eHBQsWIDs7G/3798eGDRsMxdXS09NVRfPGjh07hq1bt+K7777r8OMlIiLjqqnXYM2OdJzMLYezowOmJ8aiZyRnJDXHQScT8KkJqY4qBVtk/RinshERWZYjWaVYsyMNWh0wrFMgbugXafNrxhiX+DkQEVmSqloNVielIq2gEm7OjqqIaZdQb9ib0lbmjRzpJiIiq3E6rxwf7EpXCfeAGH+7SLiJiIgsSXlNPd7emoLMkmp4uDipNp2xQZ7mPiyLxqSbiIiswpmiSryTlIY6jQ49I3wwZVA0E24iIqIOVFJZh7e2nkZeeS283Zxw16gERPh58HdgDdXLly5divj4eLi7u2Po0KHYtWtXi/uuX79eFW3x9/eHl5eXWkP27rvvNtlHZszLGrOIiAh4eHhg/PjxOHHiRAecCRERmUJOaTXe3paKmnotOod4YVpiLJykYgsRERF1iPzyGiz/+ZRKuP09XfCnMZ2ZcFtL0r1u3TpVAXXhwoXYs2cP+vXrh4kTJyI3N7fZ/QMDA/GPf/wDSUlJ2L9/v6qSKreNGzca9nnhhRfwyiuvYPny5di5c6dKzuU9q6urO/DMiIjIWEH+ra0pqKzVIDrAQ60bc3Eye/giIiKyG1klVXjj59MorqxDiLcr/nR5JwR7u5n7sKyG2Qupycj2kCFD8N///tfQ5zMmJgZ//etf8dhjj7XqPQYOHIhrr70WTz31lBrljoyMxMMPP4y//e1v6nlZ2C7VVFetWoVp06Zd9P1YsIaIyDIUV9bi9d+DfLivO+ZcngBPV/tbGcW4xM+BiMhc0gsqsWp7KqrqNIjwc8eskfHwcXfhLwStj89mHSqora1FcnKymv5tOCBHR7UtI9kXIwn2pk2bVAuSyy+/XD2WkpKiWpc0fk/5ICS5b+k9a2pq1AfW+EZEROZVWi3rxlIMV9XvGhVvlwk3ERGRuUg7sJXbUlTCHRvoiTmjOzHhbgezfnvJz8+HRqMx9PTUk+2jR4+2+Dq5khAVFaWSZScnJ7z22mu48sor1XOScOvf49z31D93rkWLFuHJJ580whkREZExVNbWY+XWFOSX1yLA0wWzRzHIExERdaTDmaWqY0i9Vqfagd0+LBZuzk78JbSDVS6K8/Hxwb59+/Drr7/imWeeUWvCt2zZ0u73mz9/vkrk9beMjAyjHi8REbVedZ1GFU3LKa2Br4czZo9KgJ8np7ERERF1lH0ZxXhvZ5pKuHtF+mLm8Dgm3NY60h0cHKxGqnNycpo8Ltvh4eEtvk6moHfp0kXdl+rlR44cUaPVY8eONbxO3kOqlzd+T9m3OW5ubupGRETmVVOvwertqThTVAUvVyfMHpmAIBZqISIi6jA7Thfgi98yIZW/BsT64+aB0XBkxxDrHel2dXXFoEGD1LpsPSmkJtvDhw9v9fvIa2SquUhISFCJd+P3lDXaUsW8Le9JREQdq06jxZod6UgtqISHS0Pvz1Bfd/4aiIiIOshPx/Pw+b6GhHtYp0DcMogJtzGYvSKNTA2fOXOm6r2dmJiIJUuWoKKiQrUBEzNmzFDrt2UkW8hP2bdz584q0f7mm29Un+5ly5ap5x0cHPDAAw/g6aefRteuXVUS/sQTT6iK5pMmTTLruRIRUfM0Wh3W7kpXBVvcnB1x54h4RPp78OMiIiLqAFKgeuOhHJV0i7HdQzChZ5jKrcgGku6pU6ciLy8PCxYsUIXOZAr4hg0bDIXQ0tPT1XRyPUnI77vvPpw5cwYeHh7o0aMH1qxZo95H79FHH1X73XPPPSguLsaoUaPUe7q7c8SEiMjSaLU6fLQ7A4ezyuDi5IA7hschNsjT3IdFRERkNwm3TCffcbpQbV/VOxxjuoWY+7Bsitn7dFsi9kMlIuoYEoLW7zmL3WlFcHIE7hgWj+7hPvz4GZeaxfhMRGT8mWafJJ/B3oxiyKD2pP5RSEwI5Mds5Lhk9pFuIiKy34T7q/1ZKuGWQD9tSCwTbiIiog6spSJLu2SmmdRJu3VwDPrF+PPzNwEm3UREZBbfHc7B9lMF6v7Ng6LRO8qPvwkiIqIOas+5ZkcaTuVVqKVd0xNjcVlEyyO1dGmYdBMRUYfbfCwXW441FGu5sX8kBsYG8LdARETUASpr67FqeyoyCqtU8dIZw+PQKcSbn70JMekmIqIOtf1UPr47lKPuX907HMM6BfE3QERE1AFKq+uwcmsKckpr4OnqpLqFxASyeKmpMekmIqIOszu1EF/+lqXuj+sRistZHZWIiKhDFFXU4q2tKSioqIWvuzPuGpWAMF92d+oITLqJiKhD/JZRjPV7z6r7o7sGY9xlofzkiYiIOkBuWbVKuEur6hHo5YLZozoh0MuVn30HYdJNREQmdzizFB/uzoA0qRyaEKimlTtIyXIiIiIyqbPFVXh7awoqajUI9XFTI9x+Hi781DsQk24iIjKpk7ll+GBXOrQ6YECsvyqcxoSbiIjI9FLyK7B6eypq6rWIDvBQa7i93JgCdjR+4kREZDKp+RV4NykN9VodekX64uaB0Uy4iYiIOsDxnDLVFqxOo0NCsCdmDI+Hu4sTP3szYNJNREQmcaaoUrUkqdXo0C3MG9OGxMDRkVPKiYiITO3AmRKs250OjRboHuaN24bFwcXJkR+8mTDpJiIio8sprcbb2xqms3UK9sJtQ+PgzGBPRETUIZ1CpHCp1FHpG+2HWwZFMwabGS93EBGRUeWX16gKqZW1GsQEeuCO4XFwdWa4sUVLly5FfHw83N3dMXToUOzateuC+xcXF+Mvf/kLIiIi4Obmhm7duuGbb77psOMlIrJ120/l45M9DQl3YkIApg6OYcJtAYzyLUiCKBERkfQAffOXFJRV1yPCzx2zRiRw/ZiFa28MX7duHR566CEsXLgQe/bsQb9+/TBx4kTk5uY2u39tbS2uvPJKpKam4uOPP8axY8ewYsUKREVFXeIZEBGR+Pl4Hr78LcvQmnNS/ygu67LWpPv5559XgVbv1ltvRVBQkAqav/32m7GPj4iIrERpdR1WbktBSVUdQrxdVUsSD1cWbLEkxozhixcvxpw5czBr1iz07NkTy5cvh6enJ1auXNns/vJ4YWEhPvvsM4wcOVKNkI8ZM0Yl60REdGk2H83Ftwez1f0ruoewNae1J90SVGNiYtT977//Xt2+/fZbXH311XjkkUdMcYxERGThKmvrsXJrCvLLaxHo5YLZozvBmy1JLI6xYriMWicnJ2P8+PGGxxwdHdV2UlJSs6/54osvMHz4cDW9PCwsDL1798azzz4LjUZjhDMjIrJPOp0O3x/OwXeHc9T2hJ5hmNArnJ1CrL2QWnZ2tiFgf/XVV+oq+YQJE9QVa1nPRURE9qW6TqOKpuWU1sDXwxmzR3WCn4eLuQ+LTBjD8/PzVbIsyXNjsn306NFmX3P69Gn8+OOPuO2229Q67pMnT+K+++5DXV2dmqLenJqaGnXTKy0t5e+ViKhRwr3xUDZ+Op6vtq/uHY7Lu4Xw87GFke6AgABkZGSo+xs2bDBc5ZZfOq9WExHZl9p6Ld5JSsWZoip4uTph9sgEBHq5mvuwyAJjuFarRWhoKN544w0MGjQIU6dOxT/+8Q81+t6SRYsWwc/Pz3DTXzAgIrJ38u/21weyDAn39X0jmHDb0kj35MmT8cc//hFdu3ZFQUGBmpIm9u7diy5dupjiGImIyALVa7RYsyMNKfmVcHdxVGu4Q33dzX1Y1AExPDg4GE5OTsjJaZjOqCfb4eHhzb5GKpa7uLio1+lddtllavRdpqu7up5/sWb+/PmqWFvjkW4m3kRk7yTh/nxfJnamFKrtSf0jMbRTkLkPi4w50v3vf/8bc+fOVUVTZC2Yt7e3ejwrK0tNEyMiItun1eqw9tcMnMgth5uzo6pSHunvYe7Dog6K4ZIgy2j1pk2bmoxky7as226OFE+TKeWyn97x48dVMt5cwi2krZivr2+TGxGRPZOEe/2esyrhdnAAbh4UxYTbCjjo5DdHTciVdJnGVlJSwgBPRHQOCRsf7T6DvRnFcHZ0wMwR8egS2pC8kf3EJamCPnPmTLz++utITEzEkiVL8OGHH6o13bK2e8aMGaoqukwRFzKtvVevXuo1f/3rX3HixAncdddduP/++9U0c2v9HIiIOjL+frbvLHalFKmE+5ZB0RgQG8BfgBm1Ni61anq5VBxtrRtuuKHV+xIRkXVOaZOE29EB+OPQWCbcFs5UMVzWZOfl5WHBggVqinj//v3VOnF9cbX09HRV0VxPpoVv3LgRDz74IPr27asS8nnz5uHvf/97G8+IiMg+4+8Xv2UaEu6pg2PQL8bf3IdFxhzpbhw0L/hmDg42UUyNV9KJiM4n4WLDwWz8fCKfAd+K4pItxXDGZyKy56Jp204W/D6lPBoDOcJteyPdjddfERGRffrxaK5KuMXkAVG8wm4lGMOJiKy/LZgk3Pr4y4TbDgqpERGR/dl6Ih8/HMlV96/rG4HB8YHmPiQiIiKbJ7FX3xbsxv6RjL/20jJMVFRU4KefflLrtaTNR2NSEIWIiGzH7tRCNa1NTOgZhpFdgs19SHQJGMOJiKzDj0dz1Cwz/QXvYWwLZj9Jt/TyvOaaa1BZWakCd2BgIPLz8+Hp6YnQ0FAm3URENuRwZinW7z2r7o/pFoyx3UPMfUh0CRjDiYisw0/H8/D94YaE++re4bzgbW/Ty6Xq6PXXX4+ioiJ4eHhgx44dSEtLU/06X3rpJdMcJRERdbiU/Aqs/TUdUm5zcFwAJvYKV8W2yHoxhhMRWb5tJ/NV4VIxoVcYLu/GC952l3Tv27cPDz/8sKqG6uTkhJqaGtUG5IUXXsDjjz/eroNYunQp4uPj4e7ujqFDh2LXrl0t7rtixQqMHj0aAQEB6jZ+/Pjz9r/zzjvVF8PGt6uuuqpdx0ZEZI+yS6rxTlIq6jQ69IzwwU0Dophw2wBTxHAiIjKe5LRCfLW/YUnXuB6huKJ7KD9ee0y6XVxcDO1HZDq5rOsWUio9IyOjzQewbt06PPTQQ1i4cCH27NmDfv36YeLEicjNbZhOca4tW7Zg+vTp2Lx5M5KSktSXhQkTJuDs2Ybpj3qSZGdlZRluH3zwQZuPjYjIHhVV1OLtbSmortMiPsgT0xJj4ShNucnqGTuGExGR8Rw8W4JP9jTkNKO6BGPcZUy47XZN94ABA/Drr7+ia9euGDNmDBYsWKDWdL/77rvo3bt3mw9g8eLFmDNnDmbNmqW2ly9fjq+//horV67EY489dt7+7733XpPtN998E5988gk2bdqEGTNmGB53c3NDeHh4m4+HiMieldfUq4S7tLoeYb5umDE8Hi5ObHRhK4wdw4mIyDhO5pZj3a8ZhiVd1/Thki5b0uZvUs8++ywiIiLU/WeeeUZN8b733nuRl5eHN954o03vJZXPk5OT1RRxwwE5OqptGcVuDSnoVldXpwq6nTsiLlfxu3fvro6voKChtx0RETWvpl6D1dtTkVdeC39PF8wamQAPVyd+XDbEmDGciIiMI6OwEmt2pKFeq0PvKF8u6bJBbR7pHjx4sOG+JLUbNmxo9x8uV9c1Gg3CwsKaPC7bR48ebdV7/P3vf0dkZGSTxF2mlk+ePBkJCQk4deqUWqd29dVXq0Re1rCdS9a0yU2vtLS03edERGSN6jVavLcjHWeKquDp6oRZI+Ph5+Fi7sMiIzNmDCciokuXU1qNt7eloqZeiy6h3pg6OIZLumxQu/p0W4rnnnsOa9euVaPaUoRNb9q0aYb7ffr0Qd++fdG5c2e137hx4857n0WLFuHJJ5/ssOMmIrIkOp0On+w5gxO55XB1csCdI+IR6vO/f1OJiIjI+Iora7FyWwqq6jSIDfTE7cNi4cwlXTapzUm3jB5fqGXM6dOnW/1ewcHBauQ5JyenyeOyfbH12NKeTJLuH374QSXVF9KpUyf1Z508ebLZpHv+/PmqmFvjkW4p0EZEZA82HsrGvowSSK2024bFISbQ09yHRCZizBhORETtV1krNVRSUVrVUENl5og4uDlzSZetanPS/cADDzTZlvXUe/fuVVPUHnnkkTa9l6urq+rvLUXQJk2apB7TarVqe+7cuS2+TlqbyFq0jRs3Npkq15IzZ86oNd36dWznkqJrciMisje7Ugrx0/F8dX/KoGh0C/Mx9yGRCRkzhhMRUfvUabR4NykNuWU18PVwxqwRCfB0teoJyHQRbf7tzps3r8Ve27t3727r26kR5pkzZ6rkOTExEUuWLEFFRYWhmrlUJI+KilJTwMXzzz+vqq2+//77qrd3dnZD43hvb291Ky8vV1PFp0yZokbLZU33o48+ii5duqhWZERE1OB4Thk+39fQmmT8ZaEYGBvAj8bGGTuGExFR22i1Ony4OwOpBZVwc3ZUCbefJ2uo2Dqj9YGRQmXSuqutpk6dqqaKSyLdv39/7Nu3T11x1xdXkx6i0mdbb9myZarq+c0336xGrvU3eQ8h09X379+PG264Ad26dcPs2bPVaPovv/zC0Wwiot9llVTh/Z3p0OqAAbH++EMP9gK1Z+2N4URE1LYaKl8dyMLBs6VwdnTAHcPjEO7HGir2wGjzGD7++OPz2na1lkwlb2k6uRQ/ayw1NfWC7+Xh4aGmnRMRUfNKquqwenuaqpTaKdgLkwdEXXCdL9m+S4nhRETUOr+cyEfSqYY2xrcMjkbnEG9+dHaizUn3gAEDmnw5kys2MsVbeny+9tprxj4+IiIyci/ud7anqsQ7xNsVtw+LY6VUO8IYTkRkHgfPluDbgw3LYq/tE4G+0f78VdiRNifd+oJneo6OjggJCcHYsWPRo0cPYx4bEREZeR3Zul8zkFlSDW83J9w5MgEerqyUak8Yw4mIOl5GYaVaxy2Gdw7CqK7B/DXYmTYn3QsXLjTNkRARkUnJOrIjWWVwcXLAHcPiEejlyk/czjCGExF1rJLKOry7Iw11Gh26h3njuj7Nd1Mi29aqpFv6VreWr6/vpRwPERGZwLaT/1tHduvgGMQGsRe3vWAMJyIy35Ku1UmpKKtu6MU9LTEWjo6soWKPWpV0+/v7t7rIjkajudRjIiIiIzqZW4avDzR0gbi6dzh6R/nx87UjjOFEROZb0pVVUg0fd2fMHB4Pdxcu6bJXrUq6N2/e3KR6+GOPPYY777wTw4cPV48lJSVh9erVhl7aRERkGYoqavHBrgzodMCguACM5joyu8MYTkTU8aRomizpUq3BhsUhgEu67JqDTsqPt8G4ceNw9913Y/r06U0ef//99/HGG2+c1+LLWqfi+fn5oaSkhNPlichq1Wm0eP2nUzhbXI3oAA/cc3knuDg5mvuwyIxxydpjOOMzEVmDXSmF+HTvWXV/emIMK5XbsNbGpTZ/+5JR7cGDB5/3uDy2a9euth8pEREZnVxP/Xxfpkq4PV2d8MfEWCbcxBhORNQBS7o+39eQcF/ZM5QJN7Uv6Y6JicGKFSvOe/zNN99UzxERkWVcZU9OK4KU45Cr7JzWRqaI4UuXLkV8fDzc3d0xdOjQC158X7VqlaoP0/gmryMishW5ZdV4b2c6tDpgQIw/rugeau5DImttGfbvf/8bU6ZMwbfffqsCrJAge+LECXzyySemOEYiImqD9IJKfLk/U92f2CscXUJ9+PmR0WP4unXr8NBDD2H58uXqvZYsWYKJEyfi2LFjCA1t/oumTL2T5/VaW6SViMjSVdTU453taaiu0yIuyBM3DYziv3HU/pHua665BsePH8f111+PwsJCdZP78pg8R0RE5lNWXYf3dqVBowV6R/nichZOIxPF8MWLF2POnDmYNWsWevbsqZJvT09PrFy5ssXXSJIdHh5uuIWFhfH3Q0RWr16jxXs701BQUYtALxfcPiyOS7ro0ka6hUxBe/bZZ9vzUiIiMhGNVocPdqWjtKoeoT5umDIwmlfZySQxvLa2FsnJyZg/f77hMUdHR4wfP16tG29JeXk54uLioNVqMXDgQHUcvXr14m+JiKy6hsr6vWeRkl8JN2dH1RrM261dKRbZsFb9H7F//3707t1bBVS5fyF9+/Y11rEREVEbfHswyxD0bxsWy36gZLIYnp+fD41Gc95ItWwfPXq02dd0795djYLLnyFVXl966SWMGDEChw4dQnR0dLOvqampUbfGVWKJiCzJluN52JteDEcH4LahsQj1Za0KamfS3b9/f2RnZ6s1WnJfpoc112lMHpcgTEREHeu3jGJsO1mg7t88KBqhPgz6ZFkxfPjw4eqmJwn3ZZddhtdffx1PPfVUs69ZtGgRnnzySZMdExHRpTh4tgTfHcpR96/vF4muYayhQpeQdKekpCAkJMRwn4iILEdWSRU+2XNG3R/bPQS9o/zMfUhkQUwRw4ODg+Hk5IScnIYvm3qyLWu1W8PFxQUDBgzAyZMnW9xHpq9LsbbGI93slEJEluBMUSU+3J2h7o/oHIRhnYLMfUhk7Um3rL9qPHWMLT6IiCxDVa0G7+1IR51Gh66h3rjyMhamItPHcFdXVwwaNAibNm3CpEmT1GOyTlu2586d26r3kFH1AwcOXLCAm5ubm7oREVmSkqo6vLsjTcXe7mHeuLZPhLkPiWyterlMT5s5cya+//57FWCJiMg8ZIrwul/TVbXUAE8XTEuMgaMsKiPqgBguI9DS83v16tU4cuQI7r33XlRUVKhq5mLGjBlNCq393//9H7777jucPn0ae/bswe233460tDTcfffd/H0RkdWoqdfg3aRUVbQ0zNcN0xJjGXvJ+Em3BNfKykrceOONiIqKwgMPPIDdu3e39W2IiOgSbTqSi2M55XBxcsBtw+Lg6cpqqdRxMXzq1KmqGNqCBQvUWvF9+/Zhw4YNhuJq6enpyMrKMuxfVFSkWozJOm4Z3Zap4tu3b1ftxoiIrOVi90e7z+BscTW83ZwwY3g8i5ZSqzjomqum0gplZWX4+OOP8cEHH+DHH39Ep06d1FVrCb7WTr4I+Pn5qeqqvr6+5j4cIqLzHMkqxTtJaYbCaYPiAvgp2TBjxyVrjeGMz0RkThsOZuOn43lwdnTA3aMTEBfkxV+InSttZXxud9Ld2OHDh3HbbbepViS2UL2cQZ2ILFl+eQ2Wbj6J6jothnUKxI39o8x9SGTFccmaYjjjMxGZS3JaIT5OPqvu3zo4GgNiebGb0Oq41Obp5XrV1dX48MMPVQGVgQMHorCwEI888gg/eyIiE68lW7MjTSXccUGeLN5C7cIYTkTUein5Ffh0b0PCfUX3ECbc1GZtXgC4ceNGvP/++/jss8/g7OyMm2++WRVGufzyy9v+pxMRUavJxKRP95xFTmkNfNydMT0xFs5O7b52SnaIMZyIqG0KymvUxW6NFugT5Ycre7JLCHVA0n3TTTfhuuuuwzvvvKMKoUifTSIiMr1tJwvw25kSSIFySbj9PPjvL7UNYzgRUdvacq5OSkNlrQbRAR6qhoqDA7uEUAck3Tk5OfDx8WnHH0VERO11Oq8c3x5sqAR9bd8IJASzeAu1HWM4EVHraLU6vL8rHXllNeoi9x3D4+DqzNllZMKkWxaI6xeGy/RG2W4Jq30TERlXSWUdPtiVDq0OGBDjj+GdgvgRU6sxhhMRtY3kO1/8lomTueVwc3bEjOFx8HXn7DIycdIdEBCgem2GhobC39+/2WkV8j+nPG7plU+JiKxJvUaL93alobxGgwg/d0waEMWpbdQmjOFERG3z84l87EwphKQ8tw6OQaS/Bz9CMn3SLT08AwMD1f3Nmzdf2p9IRESt9tX+LGQUVsHDxQm3D+PUNmo7xnAiotb7LaNY9eMW1/WNQM9I47ZpJPvUqqR7zJgxzd4nIiLT2Z1aaLjSPnVIDAK9XPlxU5sxhhMRtb5+ysfJZ9T9UV2CMaJzMD866rike//+/a1+w759+7b5IJYuXYoXX3wR2dnZ6NevH1599VUkJiY2u++KFStU5fSDBw+q7UGDBuHZZ59tsr9MdV+4cKHat7i4GCNHjsSyZcvQtWvXNh8bEZE5nCmqxOf7MtX9Ky8LQ/dwFrCk9jF1DCcisgW5pdVYsyMd9Vodekf54po+4eY+JLK3pLt///5qDaF+3faFtHVN97p16/DQQw9h+fLlGDp0KJYsWYKJEyfi2LFjag35ubZs2YLp06djxIgRcHd3x/PPP48JEybg0KFDiIqKUvu88MILeOWVV7B69WokJCTgiSeeUO95+PBh9RoiIktWXlNvCPw9I3wwtnuIuQ+JrJgpYzgRkS0ora7Dqu2pqKrTIC7IU63jZmswMqZW1b1PSUnB6dOn1c9PPvlEJbKvvfYa9u7dq25yv3Pnzuq5tlq8eDHmzJmDWbNmoWfPnir59vT0xMqVK5vd/7333sN9992nvkT06NEDb775JrRaLTZt2qSely8Vkrj/85//xI033qiu2svIeGZmJj777LM2Hx8RUUe3KFm7Kx0lVXUI9nbFLQz8dIlMGcOJiKxdTb0G72xPRVFlQ9y9Y1gcXJzYGozMMNIdFxdnuH/LLbeoUeRrrrnG8JgktjExMWpEedKkSa3+w2tra5GcnIz58+cbHnN0dMT48eORlJTUqveorKxEXV2dodCbfKmQaeryHnp+fn5qFF3ec9q0aa0+PiKijvbd4WycyqtQLUqkcJq7ixN/CXRJTBXDiYhs4UL3BzvTcba4Gt5uTrhzRDy83FqVHhG1SZv/rzpw4IC6Sn4ueUymb7dFfn6+msoWFhbW5HHZPnr0aKve4+9//zsiIyMNSbYk3Pr3OPc99c+dq6amRt30LtSHnIjIVA6cKcFPx/PV/ckDoxDmy+UwZOT/x4wYw4mIrJnMjv38t7M4llMOFycHzBgejyBvN3MfFtmoNs+duOyyy7Bo0SI1Sq0n9+Uxea4jPffcc1i7di0+/fTTS1qrLccuo+H6m1zxJyLqSDml1fhkT0PF1Mu7BqNvtD9/AWR0lhTDiYjMacuxPOxKKTJ0CIkJ9OQvhCxnpFvWXF9//fWIjo42VDmVyqhSbODLL79s03sFBwfDyckJOTk5TR6X7fDwC1cMfOmll1TS/cMPPzSptqp/nbxHREREk/eUdeDNkentUsyt8Ug3E28i6ihVtRq8m5SGmnotOod4YWIvVkwl0zBmDCcisla7Ugrx3eEcQy/uXpF+5j4ksnFtTrqlNZcUZJGCZvop4FOnTsUf//hHeHl5tem9XF1dVcsvKYKmX0emL4o2d+7cFl8n1cmfeeYZbNy4EYMHDz5vipwk3vIe+iRbkuidO3fi3nvvbfb93Nzc1I2IyCyF035NR0FFLQI8XTAtMRaOjheuME3UXsaM4URE1ujg2RJ8tu+sun9F9xD24qYO0a5KARKY77nnHqMcgIwwz5w5UyXP8mVAKo9XVFSoauZixowZqhWYTH0T0iJswYIFeP/99xEfH29Yp+3t7a1ucrX+gQcewNNPP636cutbhsm6bxaIISJLLJx2/Pf1ZFI4zZsFXMjEjBnDiYisyem8cqz7NQM6HTAkPgBX9mxaA4rIopLuEydOYPPmzcjNzVUj041JQtwWcoU9Ly9PvU4SaBmd3rBhg6EQWnp6uqporrds2TK1/uzmm29u8j4LFy7Ev/71L3X/0UcfVYm7fKkoLi7GqFGj1HuyRzcRWZL9Z4oNhdOmDIxGpL+HuQ+J7IAxYzgRkbXIKqnCO0lpqNfq0DPSF5P6R7EXN3UYB52U7muDFStWqGnash5bpnE3bhwv9/fs2QNrJ9PRpaBaSUkJfH19zX04RGSjwX/ZllOo0+gwplswrur9vxoURKaKS9Yewxmfiag9CitqsfynUyirrkdCsCdmjUxgL27q0LjU5pFumbYt66mlVRcREbVdRU29KpwmCXfXUG9M6MnCadQxGMOJyN6U19Tj7W0pKuEO93XHHcPimXCT5bcMKyoqwi233GKaoyEisoPCaR/sSkdRZR2CvFwxLTGGhdOowzCGE5E9qa7TYPX2VOSXNxQrvXNkPDxcncx9WGSH2px0S8L93XffmeZoiIhs3LcHs3EqrwJuzo64Y3gcPF3bVVqDqF0Yw4nIXtRrtHhvZzrOFFXBy9VJTSn383Ax92GRnWrzt70uXbqoauA7duxAnz594OLS9H/e+++/35jHR0RkM/akF2HryYbCaTcPikaYr7u5D4nsDGM4EdkDKVn1UfIZnMwtVxe5Z46IR4gP2wOTFRVSkxZcLb6Zg4Pq/2ntWKiFiIwtvaASK345raqmSl/QCb24jps6Pi4ZO4YvXboUL774ouo+0q9fP7z66quq/efFrF27FtOnT8eNN96Izz77rNV/HuMzEV2MpDZf7s9C0qkCODkCd46IR5dQH35wZF2F1FJSUi712IiI7EpRRS3e3ZHa0KYkwod9QclsjBnD161bh4ceegjLly/H0KFDsWTJEkycOBHHjh1DaGhoi69LTU3F3/72N4wePdpox0JEpLflWJ5KuMUtg2KYcJN1rukmIqI2FnFJSkV5jQaRfu64dUgM+4KSTVi8eDHmzJmDWbNmoWfPnir59vT0xMqVK1t8jUajwW233YYnn3wSnTp16tDjJSLb92tqIb47nKPuX983Av1i/M19SEStH+mWK9lPPfUUvLy81P2LBWEiImqoVL52VzpySmvg6+6MGcPj4ebMqqnUsUwRw2tra5GcnIz58+cbHnN0dMT48eORlJTU4uv+7//+T42Cz549G7/88ksbzoKI6MIOZZbg071n1f2x3UMwokswPzKyrqR77969qKurM9y/0HowIiJq8M3BLBzLKYeLk4OqVO7nyaqp1PFMEcPz8/PVqHVYWFiTx2X76NGjzb5m69ateOutt7Bv375W/zk1NTXq1njtHBHRuU7nlWPtrgxIparBcQGY0LPpv01EVpF0b968udn7RETUvB2nC7DtZMOaslsHxyA6wJMfFZmFJcTwsrIy3HHHHVixYgWCg1s/+rRo0SI1FZ2IqCVniirxTlKaoW7KTQOiOBBIFocNYomIjOxkbhm+/C1T3Z/QKwy9o/z4GZNNkcTZyckJOTkNayf1ZDs8/PzK/KdOnVIF1K6//nrDY1qtVv10dnZWxdc6d+583utk+nrjKfEy0h0TE2PksyEia5VbWo23t6Wipl6LziFemJYYC0dHzrwly8Okm4jIyF8A3tuZDq0OGBDrj7HdQvj5ks1xdXXFoEGDsGnTJkyaNMmQRMv23Llzz9u/R48eOHDgQJPH/vnPf6oR8P/85z8tJtJubm7qRkR0rsKKWry1LQWVtRpEB3jg9mFxcJEeYUQWiEk3EZGRVNTUq0rl1XVaxAV5YjKnuJENkxHomTNnYvDgwao3t7QMq6ioUNXMxYwZMxAVFaWmiLu7u6N3795NXu/v31BV+NzHiYguprS6Diu3pqC0qh5hvm6YNTIe7i4sVEqWi0k3EZER1Gm0eHdHGgor6hDo5aKuuDvzijvZsKlTpyIvLw8LFixAdnY2+vfvjw0bNhiKq6Wnp6uK5kRExlRZW68S7oKKWhVvZ41MgKcrUxqybK2KhgMHDkRRUZGh3UdlZaWpj4uIyGrodDp8tPsM0goq4e7iiJnD4+Htxi8AZBlMGcNlKnlaWpqqML5z504MHTrU8NyWLVuwatWqFl8rz3322WdGOxYisn019Rqs2p5qaMU5e1Qn+HmwMwjZSNJ95MgRNWVMSBXR8vJyUx8XEZHV2HAwGwfOlkAGtmWEO9TX3dyHRGTAGE5EtqBeZpQlpSGjsAoeLk64a1QCAr1czX1YRK3SqqEYmTIma7RGjRqlRnReeukleHt7N7uvTDMjIrIXSacK8POJfHV/ysBodA5p/t9GInNhDCcia6fV6rD21wycyquAm7OjWsMdxgvcZEUcdJJFX4S08li4cKFq+bFnzx707NlTtfg4780cHNTz1k5akvj5+aGkpAS+vr7mPhwislBHskrVOm75V3RCzzBc0SPU3IdENupS4pItxXDGZyL7I6nKx8lnsCe9GM6ODpg5Ih5dQnmBm6wrLrUq6W5MiqJIwZTQUNv9csmgTkQXc6aoEit+Po1ajQ6D4wIweWCUSlqILDkuWXsMZ3wmsi+Spny1PwvbTxVA2m/fNjQOPSM5IEbWF5faXOlH+nASEdmzoopavJOUphLurqHemMTWYGQlGMOJyJpsOpKrEm4xZVA0E26yWu0qrytT1KQfpxRnETJVbd68eejcubOxj4+IyKJU1TZUTi2rrkeEnzv+ODQWTnL5nchKMIYTkTXYdjIfm47mqvvX94vAwNgAcx8SUbu1uYHmxo0bVZK9a9cu9O3bV92kTUivXr3w/ffft/9IiIisoHLqmh1pyC2rga+Hs2oN5u7iZO7DImo1xnAisgbJaYVqWrm4smcoRnQONvchEV2SNq/pHjBgACZOnIjnnnuuyeOPPfYYvvvuO4svwtIaXDNGRC314t6bUawqp/5pTCdE+HnwgyKrikvWHsMZn4ls38GzJXh/V7oqUjqqSzCu6RPOmilk9XGpzSPdMqV89uzZ5z1+11134fDhw20/UiIiK/D94RyVcMtMcplSzoSbrBFjOBFZspO5ZVj3a4ZKuKVIKRNushVtTrpDQkKwb9++8x6Xx6y1GioR0YXsTi3E5mN56v5NA6LQLcyHHxhZJcZwIrJU6QWVWLMjHfVaHXpH+ap4y64gZLeF1ObMmYN77rkHp0+fxogRI9Rj27Ztw/PPP4+HHnrIFMdIRGQ2R7NL8enes+r+Fd1DMDg+kL8NslqM4URkic4WV+Ht7SmoqdeqriBTB8fAkUVKyZ6T7ieeeAI+Pj54+eWXMX/+fPVYZGQk/vWvf+H+++83xTESEZntqvv7O9Oh1QEDYv1xZc8w/ibIqjGGE5GlySmtxsqtKaiu0yI+yBO3DYuFs1ObJ+MS2VYhtcbKysrUT0nCbQkLtRBRblk1Xv/pNCprNege5o07hsezNRjZVFyyxhjO+ExkW/LKavDGz6dQXqNBdIAHZo9KYFcQsiomK6TWmATqSw3WS5cuRXx8PNzd3TF06FDViqwlhw4dwpQpU9T+ssZDeoWfS0bc5bnGtx49elzSMRKRfSmpqsPb21JVwi1fAqazFzfZIGPEcCKi9iqsqMWbW0+rhDvSzx13jWTCTbbLrHM31q1bp9aBL1y4ULUp6devn2plkpub2+z+lZWV6NSpk2p1Eh4e3uL7Ss/wrKwsw23r1q0mPAsisiVVtRqs2paK4so6BHu7YuaIeLg5sxc3ERGRsZRU1uHNX06jtKoeoT5umDUqAR6ujLVku8yadC9evFgVdZk1axZ69uyJ5cuXw9PTEytXrmx2/yFDhuDFF1/EtGnT4Obm1uL7Ojs7q6RcfwsODjbhWRCRrajTaPHujlRkl1bDx90Zs0YmwNutzaUviIiIqAWl1XVqhLvo94vbs0cz1pLtM1vSXVtbi+TkZIwfP/5/B+PoqLaTkpIu6b1PnDihirvJqPhtt92G9PR0IxwxEdkyrVaneoOm5FfCzdkRs0bGI9DL1dyHRUREZDPKa+rx1i8pyC+vRYCni1rD7evuYu7DIrKspLuurg7jxo1TSe2lys/Ph0ajQVhY02rAsp2dnd3u95V14atWrcKGDRuwbNkypKSkYPTo0YaCMc2pqalRi+Ab34jIfkg9yS/3Z+JQZimcHR0wY3gcIvw8zH1YREZlzBhORNSe5Vtvb01BblkNfD2ccffoTvD35MVtsg9tmjfp4uKC/fv3w5JdffXVhvt9+/ZVSXhcXBw+/PBDzJ49u9nXLFq0CE8++WQHHiURWZItx/Kw43QhHByAqUNi0CnE29yHRGR01hDDich2E+63tp5GZkk1vN2ccPeoTpxNRnalzdPLb7/9drz11luX/AfLOmsnJyfk5OQ0eVy2L1Qkra38/f3RrVs3nDx5ssV9pN+4lHnX3zIyMoz25xORZfs1tRDfHW74d+i6vhHoHeVn7kMiMhljxXAiorYm3GeLq+Hl6qRGuEN8Wq7NRGSL2lwhqL6+XhU6++GHHzBo0CB4eXmdVxytNVxdXdXrN23ahEmTJqnHtFqt2p47dy6Mpby8HKdOncIdd9zR4j5SlO1ChdmIyDYdzizFp3vPqvtju4dgRGcWXSTbZqwYTkTUnoR7zuWdEObrzg+P7E6bk+6DBw9i4MCB6v7x48ebPCc9sdtC2oXNnDkTgwcPRmJiouq7XVFRoaqZixkzZiAqKkpN/9YXXzt8+LDh/tmzZ7Fv3z54e3ujS5cu6vG//e1vuP7669WU8szMTNWOTEbUp0+f3tZTJSIblpJfgbW/pkOnAwbHBWBCz6b1JYhskTFjOBHRhTDhJrqEpHvz5s0wlqlTpyIvLw8LFixQxdP69++vCqDpi6tJ1XGpaK4nSfSAAQMM2y+99JK6jRkzBlu2bFGPnTlzRiXYBQUFCAkJwahRo7Bjxw51n4hI/VtSXIXV21NRp9Hhsggf3DQgigkH2QVjxnAiogsl3Cu3pXCEm+h3Djop29sOskZapm1ffvnl8PDwUNV/beUquVQv9/PzU+u7fX19zX04RGRE+eU1eP2nUyiv0SAh2FP14nZxMlv3RCKzxCVrjeGMz0TWk3CfKarilHKyeaWtjM9t/qYpI8jSckSKk11zzTXIyspSj0tl8IcffvjSjpqIyIRKKuuwcmuKSrgj/dwxY3g8E26yK8aO4UuXLkV8fDzc3d1Vt5Bdu3a1uO/69evVcjIpcCpryWV227vvvntJ50NElp1wS9E0ruEmakfS/eCDD6q2IzL129PTs8lUcZkaTkRkiSpq6tUXgaLKOoR4u2LWqAS4uziZ+7CIOpQxY/i6detUbRapnbJnzx7069cPEydORG5ubrP7BwYG4h//+AeSkpJU6zKp3yK3jRs3XvJ5EZH5VdbWn5dwh/uxaBpRu5Lu7777Ds8//zyio6ObPN61a1ekpaXxUyUii1Ndp8Gq7anILauBn4eLmlLu7dbmkhZEVs+YMVwqnc+ZM0clzj179sTy5ctVIi/V0ZszduxY3HTTTbjsssvQuXNnzJs3D3379sXWrVsv6ZyIyPzKa+qx4mcm3ERGS7qlunjjq+N6hYWFbLtFRBanTqPFmh1p6sq7p6sT7hoZjwAvV3MfFpFZGCuGSweR5ORkjB8/3vCYFD6VbRnJvhhZQy4tQo8dO6bWlROR9SqpqsMbP59Gdmk1fNydVVswjnATXWLSPXr0aLzzzjuGbSm8Iv21X3jhBVxxxRVtfTsiIpPRanVY+2sGTuVVwM3ZEbNGxiOU/UHJjhkrhufn50Oj0Ri6jejJtnQjaYkUmpE2n66urrj22mvx6quv4sorr2xx/5qaGlWkpvGNiCxHUUUt3vj5FPJ+n0l2D/twEzWrzfMrJTBLEZbdu3erK92PPvooDh06pK6Sb9u2ra1vR0RkEjKStn7vWRzOLIWzowPuGB6H6IDzR/iI7Im5Y7iPjw/27duH8vJyNdIta8I7deqkpp43Z9GiRXjyySdNflxE1L5uIG/+kqJGugO9XHD3qE6cSUZkrJHu3r174/jx46r/9Y033qimqk2ePBl79+5Va7SIiCwh4f58XyaS04ogXZCmJcagc4i3uQ+LyOyMFcODg4Ph5OSEnJycJo/Ldnh4eIuvkynoXbp0UZXLpVr6zTffrBLrlsyfP1+NjutvGRkZrT5GIjKdnNJqNaVcEu4QHzfcc3lnJtxEF9CuSkLSi0wqkBIRWWLC/eX+LOxMKVQJ962DY9Ar0s/ch0VkMYwRw2V6+KBBg9Ro9aRJk9RjMk1dtufOndvq95HXyBTylsg687asNSci08ssrlLtNytqNYjwc8ddo1iclMgkSXdRURHeeustHDlyRG1L1VKpXirtQIiIzJlwf3MgG0mnClTCPWVgNPrH+PMXQmSCGC5Tw2fOnKl6bycmJmLJkiVq5FzeS8yYMQNRUVGGkWz5KfvKiLok2t98843q071s2TL+foisREZhJd7eloqqOg2iAzxUrRRPV3YDITL69PKff/4Z8fHxeOWVV1TglpvcT0hIUM8REZkr4d54KAdbT+ar7Un9ozAoLoC/DCITxXDp7f3SSy9hwYIFarq4rNWWXt/64mrSCzwrK8uwvyTk9913H3r16oWRI0fik08+wZo1a3D33Xfzd0RkBY7nlOGtrSkq4Y4L8sTsUQlMuIlayUEn31TboE+fPhg+fLi6Mi3ruYRUMJVAun37dhw4cADWTqqjyvQ7WT/m6+tr7sMholb44XAONh3NVfdv6BeJ4Z2D+LmRzTBWXLL2GM74TGQee9OL8HHyGWh1QNdQb9w2LBZuzg3/hhDZs9JWxuc2J90eHh7qanb37t2bPC69NuVKd1VVFawdgzqRddl8NBffHW4o6HRtnwiM6hps7kMissi4ZO0xnPGZqONtPZGPrw80zFrpH+Onlm45O7V5siyRTWptXGrz35iBAwca1oE1Jo/169ev7UdKRHQJfj6eZ0i4r+odzoSb6AIYw4motWRcbsPBLEPCPbJLkCpOyoSbqO1aVflg//79hvv3338/5s2bh5MnT2LYsGHqsR07dmDp0qV47rnn2nEIRETtv/r+7cFsdX9CzzCM6RbCj5LoHIzhRNRWGq0O6/ecwZ70YsNF7cu7BsNBqpQSUZu1anq59NWUv2QX21X2kbVh1o7T14gs30/H87Dh94T7iu4hmNCr5d7ARPYcl2wphjM+E5leTb0GH+xMx7Gccjg6AJMHSmFSdigiupS41KqR7pSUlNbsRkTU4Wu4x/UIxbjLQvnJE7WAMZyIWquyth6rt6chvbASLk4OmJ4Yi8siWFSY6FK1KumOi4u75D+IiOhSyUjdpiO5hirlMqX8ih5MuIkuhDGciFojv7wGq7enIr+8Fh4uTpg5Ig5xQV788IiMoF3d7DMzM7F161bk5uZCq9U2eU7WfBMRmSLhltHtLcfyDOvLuIabqO0Yw4noXOkFlXgnKRUVtRr4e7pg1oh4hPq684MiMlfSvWrVKvzpT3+Cq6srgoKCmhRUkPtMuonIFAm3FEz75US+2r6ubwRGdmFbMKK2YgwnonMdPFuCdb9moF6rQ3SAB2YMj4OPuws/KCIjanOf7piYGPz5z3/G/PnzVXEWW8RCLUSWQ/6J+nJ/FpJOFajtG/pFYnjnIHMfFpFVxiVrj+GMz0TGja+/NOoCclmED6YOiYGbsxM/ZiJzFFJrrLKyEtOmTbPKYE1E1veF4PN9mdiZUgiZVDOpfxQSE1hBlai9GMOJSGi1OnzxW0N8FXIx+7o+EXCUcuVEZHRtzpxnz56Njz76yPhHQkR0To/Qj5LPGBLuKQOZcBNdKsZwIqqu06j12/r4Kku2ZBYZE24iC5peLj08r7vuOlRVVaFPnz5wcWm65mPx4sWwdpy+RmRedRotPtiVjiNZZapH6C2DY9A/xp+/FrJbxopL1h7DGZ+JLk1JZZ1KuDNLqlVLMJlO3ivSjx8rkaVNL1+0aBE2btyI7t27q+1zC6kREV3qFfh3k9JwOr+CPUKJjIwxnMi+K5Sv2ZmGsup6eLs5YcbweMQEepr7sIjsQpuT7pdffhkrV67EnXfeaZojIiK7VV5Tr3qEnimqgpuzo6qg2inE29yHRWQzGMOJ7FNyWhE+23tWVSiP8HPHHcPiEODlau7DIrIbbU663dzcMHLkSNMcDRHZreLKWqzcmoK88lp4uTph1qgERPl7mPuwiGwKYziR/RVM23Dofy03e0X64pbB0axQTmTphdTmzZuHV1991TRHQ0R2KaukCst+OqUSbj8PF9wzphMTbiITYAwnsr+CafqE+w89QnHb0Fgm3ETWMNK9a9cu/Pjjj/jqq6/Qq1ev84qwrF+/3pjHR0Q27mRuGdbsSEdNvRahPm6YNTIe/p6c8kZkCozhRPYhv7wG7ySlIa+sRtVHuXlQNPpGsyApkdWMdPv7+2Py5MkYM2YMgoODVbW2xre2Wrp0KeLj4+Hu7o6hQ4eqLwQtOXToEKZMmaL2l6JtS5YsueT3JCLz2ZNehLe3paqEu1OwF/48pjMTbiITMnYMJyLLvJj92uZTKuGW2WN/GtOZCTeRtY10v/3220b7w9etW4eHHnoIy5cvV8mxJNETJ07EsWPHEBoaet7+lZWV6NSpE2655RY8+OCDRnlPIup40qlwy/E8fHcoR233i/ZTV+Gdndp8HZCIzBTDicjyYmvSqQJ8fSALWh0QG+iJ24fFwse96axUIrKCPt3GJEnxkCFD8N///ldta7VaxMTE4K9//Ssee+yxC75WRrIfeOABdTPWe+qxDyiRaYu6fPFbJnamFKrtMd2CMbFXOFsOEjEuXRTjM1Hz6jVafLk/E7tSitT2gFh/3DQgCi68mE1knX26ExISLvjl+PTp0616n9raWiQnJ2P+/PmGxxwdHTF+/HgkJSW19bAu6T1ramrUrfGHR0TGV1OvwbpfM3Akqwzyz8h1fSMwonMwP2qiDmKsGE5ElqOsug7v7UxHWkGliq1X9w7HqC7BvJhNZEHanHSfO7JcV1eHvXv3YsOGDXjkkUda/T75+fnQaDQICwtr8rhsHz16tK2HdUnvuWjRIjz55JPt+jOJqPVfCqSoi/TglqIutw6OQe8oriEl6kjGiuFEZBnSCyrx3s40lFbXw93FEdOGxKJ7uI+5D4uILjXplnYjLRUv2717N6yRjIzLOvDGI90yJZ2IjNcSbPX2NJRU1cHT1Qkzh8cjNsiTHy9RB7PFGE5kr3alFOKL385Co4Xq/nHH8DgEe7uZ+7CIqBlGq1p09dVX45NPPmn1/lI11cnJCTk5DYWU9GQ7PDy8XcfQ3vd0c3NTc/Ab34jIOI5kleL1n06rhDvE2xX3ju3MhJvIwrQ1hhOReddvf7r3DD7d25Bw947yVbGVCTeRHSTdH3/8MQIDA1u9v6urKwYNGoRNmzYZHpOiZ7I9fPjwdh2DKd6TiNpHajRuPZGPd3ekqZZgnUO8cO/YLvxSQGSB2hrD29Oic8WKFRg9ejQCAgLUTeqtsKUnUdvIBewVv6SogmmyfntCrzD8MTEW7i5O/CiJbGl6+YABA5oUZpAv1tnZ2cjLy8Nrr73WpveSKd0zZ87E4MGDkZiYqNp7VVRUYNasWer5GTNmICoqSq251hdKO3z4sOH+2bNnsW/fPnh7e6NLly6tek8iMj2NqlB+1lBFNTEhADf0i4KTY8sFnIjI9IwZw9vaonPLli2YPn06RowYoZL0559/HhMmTMChQ4dUrCeiC0vNr8D7u9JRVl0PDxcnTEuMQbcwrt8mssmWYecWHJPq4CEhIRg7dix69OjR5gOQ1l4vvviiCvr9+/fHK6+8ooK3kPeUK+irVq1S26mpqary6rnGjBmjgnlr3rM12JKEqP2qajWqqMupvAp1Ff6a3hEY2SWIVVSJLoGx4pIxY/iltuiUwqcy4i2vl4vsrcH4TPZIvqrvOF2Ir/Znqv7b4b7uqv92ENdvE5lda+OSWft0WyoGdaL2yS+vwTvbU5FXXgs3Z0dMHRKDyyJYI4HI1uKSzDbz9PRU09InTZpkeFxmmhUXF+Pzzz+/6HuUlZWpEfGPPvoI1113nVV+DkSmVqfR4vN9mUhOa5g51jfaD5MHRsHNmdPJiWy6TzcRUXNO5pbh/Z0ZqKrTwM/DBTNHxCHCz4MfFpENMkbbz7///e+IjIxUa7tbUlNTo26Nv9wQ2Yuiilo1nVxabcrMsat6hWN0V/bfJrJGrU66ZQpa43VgzZHn6+vrjXFcRGQlZLLMLyfyseFQNmTeTEygB+4YFgcfdxdzHxoRWWgMf+6557B27Vq1NEzWd7dEarqcOyWeyB4cyy7Dul8bLmRLq83piTHoEsr120Q2n3R/+umnLT6XlJSk1k3Lei4ish+19Q1tS/ZllKjtwXEBuLF/JJydjNYYgYiMwNgx/FLafr700ksq6f7hhx/Qt2/fC+47f/58Vayt8Ui3rBsnslVarQ4/HMnB5mN5ajs6wENVJw/wcjX3oRFRRyTdN95443mPSYVSKZby5Zdf4rbbbsP//d//XcqxEJGVTXtbsyMNmSXVkKLk1/WNxLBOgSyYRmSBjB3DG7fo1K/p1rfonDt3bouve+GFF/DMM89g48aNqsvIxbi5uakbkT0or6lXo9snc8vVtsTUa/tE8EI2kQ1o13BUZmYm5syZgz59+qipaNK2a/Xq1YiLizP+ERKRxTmdV46lm0+qhNvbzQmzRyVgeGdWKCeyBsaK4TICLb235bVHjhzBvffee17bTxmp1pMWYU888QRWrlypOpNIhxG5lZc3JBhE9iy9oBKv/nhCJdyuTg6qEOmN/aOYcBPZiDYVUpOqbM8++yxeffVV1YpLrmiPHj3adEdHRBa3fjvpdAG+3p+l2pZE+Uvbkjj4e3LaG5GlM3YMnzp1qurvvWDBAkOLzg0bNhiKq6Wnp6u15HrLli1TVc9vvvnmJu+zcOFC/Otf/7qEMyOy8rh6qgBfH2iIqyHerrhtWBzCfFuudUBE1qfVLcNkSphcpZa1WhK0m5uqZivYkoTo4m1LBsT446aBUXDh+m0ii49LthLDGZ/JllTXafDp3rPYf6bE0A7spgFRcHdhOzAiu+3TLVerPTw8VGsPKZ7SkvXr18PaMagTNVVSWYc1O9MMbUuu6R2BkV04nZzIWuKSrcRwxmeyFTml1XhvRxryymtVXRRZu81lWkTWx+h9umVt1sXajRCR7UkrqMB7O9NRVl3PtiVEVooxnMgyyFjXnvQifLEvE7UaHXw9nHFbYhxigzzNfWhEZEKtTrpXrVplyuMgIgu083QBvtyfCY0WiPBrWL8dyLYlRFaHMZzIMqaTS7K9N6NYbXcJ9VYF07zd2lRiiYisEP+WE9F56jValWzvSikyrDObPDAKbs5cZ0ZERNRWmcVV+GBXOvJ/n04+vmcYxnQNgaNsEJHNY9JNRE0UV9aq6eT69dsT5ItBtxAuLyEiImpn149vD2SjXquDn4cLpg2JQXywFz9LIjvCpJuIDE7mluGDXRmorNWo9dsy7a1bmA8/ISIiojaqrK3HJ8lncDirTG33jPDBlEHR8HTl128ie8O/9USkrsRvOZ6H7w/nQPd7/+3bhsYhgOu3iYiI2lWEVC5il1TVwdnRAVf3Dmd1ciI7xqSbyM5JYZePdmcYrsQPjgvADf0j2X+biIioHTVRNh3NxU/H89RF7GBvV0xLjEWUvwc/SyI7xqSbyM77hK7ZkaYKu8iVeEm2h8QHmvuwiIiIrDKmfvhrBjJLqtX2gFh/3NAvEu4uLEJKZO+YdBPZqd8yirF+zxnVJ9Tf0wV/TIxFTCD7hBIREbV1ida2kwXYeKihWJrURLlpQBR6R/nxgyQihUk3kZ3RaHX45kAWtp8qMPQJlUqqXuwTSkRE1CZFFbX4OPkMTudXqO3uYd6qWJqPuws/SSIyYNJNZEekoIv0CU0rqFTbY7uH4MrLwtgnlIiIqI2j23szivHFvkzU1Gvh5uyIa/pEYEh8AFtsEtF5mHQT2YnjOWVqrVlFrUZ9Obh1cAx6Rvqa+7CIiIis7gL2F/vOGgqQxgZ64tbB0QjydjP3oRGRhWLSTWTjtFodfjiSg83H8tR2pJ87pg+NRTC/HBAREbVpdHtPehG+2p+F6jotnByBcZeFYUzXEM4YI6ILYtJNZMNKq+uwbleGYa3ZsE6Bavqbi3xTICIiolav3f5071mcyC1X29EBHrh5UDTCfN35CRLRRTHpJrJRJ3PLsO7XDJTXNEwnl0qq/WL8zX1YREREVjW6veN0oapMLmu3pb3mlT3DMKpLMEe3iajVmHQT2eB08h+P5uLHY7nQ6YAImU6eGIsQH641IyIiaq388hrVWjMlv6H4aFyQJ6YMjGY8JaI2Y9JNZENKKuvwUXIGTuU1TCdPTAjAdX0jOZ2ciIioleo1WvxyMh+bj+aiTqNTs8Um9ArD8E5BrExORO3CpJvIRhw8W6LWm1X+Xp38xv6RGBAbYO7DIiIishqn88rx+b5M5JbVqO3OIV6YPDAagV6u5j40IrJiTLqJrFxNvQbfHMjCrpQiQ3GXqUNiWJ2ciIiolcpr6lUs3ZterLa93ZxU4dH+Mf4c3SaiS8akm8iKZRZXYe2vGcgrq4GDA3B512CMvywMzqxOTkREdFEarQ47Uwrww+FcVNVpVCxNjA/ExF7h8HB14idIREZhEX2Dli5divj4eLi7u2Po0KHYtWvXBff/6KOP0KNHD7V/nz598M033zR5/s4771RXJRvfrrrqKhOfBVHHFkuTtWavbTmpEm5fD2fcNTIBV/WOYMJNRETUCsdzyvDKphP48rcslXBH+rnj3jGdMWlAFBNuIrKtke5169bhoYcewvLly1XCvWTJEkycOBHHjh1DaGjoeftv374d06dPx6JFi3Ddddfh/fffx6RJk7Bnzx707t3bsJ8k2W+//bZh282NlZvJNuSWVeOj3WdwpqhKbfeK9FXtwLzczP7XmYiIyCri6Df7s3Asp6Hntperk2oDNiQ+kG3AiMgkHHTSgNCMJNEeMmQI/vvf/6ptrVaLmJgY/PWvf8Vjjz123v5Tp05FRUUFvvrqK8Njw4YNQ//+/VXirh/pLi4uxmeffdauYyotLYWfnx9KSkrg6+vb7nMjMib5q7r9VIHqFSrVVN1dHHFDv0iuNyOyA4xL/Bzo0lXW1mPTkVzsOF0ArQ6QlVgjOgfjiu6hHNkmIpPGZ7NOL6+trUVycjLGjx//vwNydFTbSUlJzb5GHm+8v5CR8XP337Jlixop7969O+69914UFBS0eBw1NTXqA2t8I7K0XqFv/pKCr/ZnqYS7a6g3HhjXTVUnl+UTRESWvjzs0KFDmDJlitpf/t2SmW1EHdUCbPvJfLy08bi6eC0Jd88IHzwwvpsqlsa120Rkamadj5qfnw+NRoOwsLAmj8v20aNHm31NdnZ2s/vL442nlk+ePBkJCQk4deoUHn/8cVx99dUqMXdyOr8ohkxVf/LJJ412XkTGLPCy9WQ+Nh3JMfQKvbp3OBITAplsE5FVLQ+rrKxEp06dcMstt+DBBx80yzGT/dU/2XemGD8czkFRZZ16LMzXDdf1jUCXUB9zHx4R2RGbXAQ6bdo0w30ptNa3b1907txZjX6PGzfuvP3nz5+vvjjoyUi3THEnMqczRZX4dM9ZZJZUq+0uod5q7TZ7hRKRJVi8eDHmzJmDWbNmqW1Jvr/++musXLmy2eVhspRMbqK554mMuRzrUGYpvj+cY+i37ePujHE9Qrlum4jsL+kODg5WI885OTlNHpft8PDwZl8jj7dlfyFX1uXPOnnyZLNJtxRZY6E1shS19Vo1sv3LyXxIxQVPVydc2zcCA9grlIgshH55mFy0bu3yMKKOcDK3DBsP5RiKjXq4OGFM9xAM7xQEV2eLaNpDRHbIrEm3q6srBg0ahE2bNqkK5PpCarI9d+7cZl8zfPhw9fwDDzxgeOz7779Xj7fkzJkzak13RESECc6CyHhO5pbj071nUFjRMA2uX7QfrusXCW9WJiciC9Ke5WHtITVX5KbHmivUkvSCSnx3OBun8irUtizHGtE5CKO7hnDNNhGZndmnl8u07pkzZ2Lw4MFITExUa8KkOrl+utqMGTMQFRWl1l2LefPmYcyYMXj55Zdx7bXXYu3atdi9ezfeeOMN9Xx5eblany3FWmT0W9Z0P/roo+jSpYtaa0Zkicpr6vHtgSzsSS9W234eLrixfyQui2D1fCKyX6y5QhebRi5J9pZjuYZk29nRQdU9Gds9BD7uLvwAicgimD3plhZgeXl5WLBggSqGJq2/NmzYYLh6np6erqas6Y0YMUL15v7nP/+pCqR17dpVtQbT9+iW6er79+/H6tWrVduwyMhITJgwAU899RSnkJNFFnnZkVKg1p1V12khhciHdQrChJ5hcHc5v+gfEZElaM/ysPZgzRVqKdk+ml2GzcdykVHYMI3c0QEYGBuAP/QIRYCXKz84IrIoZk+6hUwlb2k6uRQ/O5dUPpVbczw8PLBx40ajHyORsaXmV+CL3zKR9XuhtCh/d9zQLwqxQZ78sInIorVneVh7sOYKnXuh+mBmCbYcyzPEThcnBwyOD8TlXYPh78lkm4gsk0Uk3UT2pKSyDhsPZ2Pv71PJpcjLxF5hrKhKRFalrcvDpPja4cOHDffPnj2Lffv2wdvbWy0BI2pJnUarYubWE3nIK681rNke1ikQI7sEcxo5EVk8Jt1EHaS6ToOfj+epvtvSc1umkg+JD8CEnuHwYqE0IrIybV0elpmZiQEDBhi2X3rpJXWTOi3NzWojKquuw87ThdhxugAVtRrDheqRXYIwvHMQPF35NZaIrIODThbGUBNSHdXPzw8lJSXw9WUhK7r06XC704rww5EclFXXq8cSgj1xde8IxARyKjkRXRzjEj8He5JTWo2tJ/KxL6MY9dqGr6kBni4Y0TkYg+MDWPOEiKwuPvMSIZGJyPWsQ5mlqkhabllDy5tgb1dc1TscPSN84SBD3URERKRiprTNlNlgx3PKDZ9ITKAHRncJQa9IXzhKtTQiIivEpJvIBF8cTuSWq2T7TFFDVVVPVyeM6xGq2pg4O/1vuiUREZE9q6rVIDmtCDtTCpD/+3ptuSYtSbYk2ywuSkS2gEk3kRGdzmtItlMLKg2FXkZ0DsLoriHwcGULMCIiInGmqBI7Thdi/5liVedEHzMHxQWo4miBbPtFRDaESTeREUa2T+WV48ejuUjJrzS0MJF+25d3C4E3i6QRERGpKuSSZEuyrZ8JJiL83FXM7BfjBzdnXqAmItvDpJvoEpLto9ll2HwsFxmFDV8eZOb4kPhAjO0eCj8PF362RERk984WV2F3aiF+yyhBVV1DFXJnRwf0ifLD0E6BiA30ZJ0TIrJpTLqJ2kij1akr9b+cyEdWSbVhZFuS7cu7hsDPk8k2ERHZt8raelV9PDm1CJm/x0p9FfKhnYLUNHLOBCMie8Gkm6gNxV52pRZi+6l8lFbVG9afDesUqNaf+bgz2SYiIvulX271a2oRDmeWGtp9yai2FEaTdl+dQ7w5qk1EdodJN9FF5JfXIOlUgaquWlOvVY/5uDtjeKcgNS3O05V/jYiIyH4VVdSqGJmcXoTiyroma7Ul0e4f489YSUR2jdkCUTO0Wh2OZJdi5+lC1f5LL8zXDaO7BqNvtD9c2PqLiIjsVHWdBgfPlmBvejFO51cYHnd3cVRJ9uD4QET5e5j1GImILAWTbqJGSqrqsEf1Cy1U9/X9QruFeqsp5F1COS2OiIjsU71Gqy5ES6J9JOt/08dF5xAvlWjLNHJelCYiaopJN9k9+RJxJKsMyWmFOJ5bDt3v3yG8XJ3UtLjEhCD2CyUiIrtdpy3tvfakF2H/mRJU1jZUHxehPm7oH+uPATH+8Pd0NetxEhFZMibdZLdfIqSFiaxBa9zCRMQHeSIxIVC1MnHmFHIiIrLTeia/ZRSrCuT55bWGx6WmSd9oPwyIDUCknzuLohERtQKTbrIrMmX8wJkS7E4rRE5pjeFx6ak9MNYfA+MCEOztZtZjJCIiMmeM/O1MsRrd1nN1kurjfmpUu0uINxwdHfgLIiJqAybdZBdfIg6dLcH+syVIK6g0PK5vYSK9QqWFCb9EEBGRPfbTPni2VI1qpxRUGJZYST0TiY0DYv3RM8IX7i5O5j5UIiKrxaSbbDfRzixRV+zTCisNXyJEXJCnWn8mFcg9XPklgoiI7EtNvUb10ZY12sdzyqA9J0b2i/ZHn2g/eLvxayIRkTHwX1OymTXaeWU1OJJdhqNZpc0m2n2j/NAryk9NJSciIrK3oqHHcspUoi2Vx+s0uib9tPvJxegoPwR4sSAaEZGxMekmq/4CkVpQoSqPH80uRWFFQ4uvxom2FEPrHekHP08m2kREZJ8tvqSf9uGsUlTXaQ3PBXu7qhlf/aL9EOrrbtbjJCKydUy6yaoUVdTiZF45jmWX4WRuOWrqtU3WaEuf0O7hvmr9GRNtIiKyN3WSaOf8L9FuHCd9PZzRN8of/WL8EOXvwcrjREQdhEk3WXyBl9N5FSrBPpVX3qRtib51SY9wH/QI90XnUC+4OXONNhER2V+iLWuzJdGW2V/nJtpSeVxmfklLTAepkEZERB2KSTdZlOo6DdILK1WiLUm29NJuvDZbupTEBHqqliU9Inx4pZ6IiOw2XsoFaUm0j2afn2jrl1fJUism2kRE5sWkm8xeZTytoAKpBZVIy69AVml1kyRbhPq4oUuot7olBHuxbQkREdml4spaNZIthdBO55dD8788WxUJVYl2lC9iA5loExFZEibd1KEFXbJKqnGmqAoZRZUq2T63+JkI8nJVV+Y7h3qrHqGsNk5ERPbamUNmfB39PdHOLKlu8rwUQ7sswleNaMcEco02EZGlYtJNJvuiIOuvJblWSXZhJbJLqlHfuBkoAFlaFuHrjrhgLyQEeSE2yJNJNhER2fVotkwb19cyKa/RNImZcYGe6BHhi8sifBDi7cap40REVoBJN12ymnoNcktr1Ch2VkmV+ikJduP1ZXqerk6ICfBAdICnSrBlCpy7C4ufERGR/a7NluRaJdm55cg7p2Com7OjWl4lI9rdw33g7cavbkRE1sYi/uVeunQpXnzxRWRnZ6Nfv3549dVXkZiY2OL+H330EZ544gmkpqaia9eueP7553HNNdc0GWVduHAhVqxYgeLiYowcORLLli1T+1L71dZrkV9eg7yyGvUzp7QG2SVVyK+oPW8dtnBxckCkvyTYHogJ8FQ/A71ceVWeiMhGGDt+24OL1TKR0WyJmfpaJnKh2tnJ0ZyHTERE1p50r1u3Dg899BCWL1+OoUOHYsmSJZg4cSKOHTuG0NDQ8/bfvn07pk+fjkWLFuG6667D+++/j0mTJmHPnj3o3bu32ueFF17AK6+8gtWrVyMhIUEFeHnPw4cPw93d3QxnaV1X3Isr61BUWatuMkVcn2TL4y2R1l3hvu6I8HNHuJ/89ECIjxucpNw4ERHZHFPEb1tTXlOPzOIqtS5b/SyqQlEzsVTWZnf5vY6J3DxcOQOMiMiWOOhkWNiMJFAPGTIE//3vf9W2VqtFTEwM/vrXv+Kxxx47b/+pU6eioqICX331leGxYcOGoX///irwy+lERkbi4Ycfxt/+9jf1fElJCcLCwrBq1SpMmzbtosdUWloKPz8/9TpfX19YO/lMZKp3RU09Kmo06ktARW29+llaVaeSaX2i3dyU8Ma8XJ0Q7OOm1pFJUq1Psn3cXTrsfIiI7I0lxiVjx29r/Rw0Wp2KpXnlNcgvq2n4WV6L3LJqlFbVn7e/jGRH+rkjNshL9c2OC/JiLRMiIivV2rhk1pHu2tpaJCcnY/78+YbHHB0dMX78eCQlJTX7Gnlcrqw3JlfWP/vsM3U/JSVFTXOT99CTD0K+HMhrW5N0G1NhRa2q2q2/siGXOHS/b+kvd8gP/bUPw2OG53QqoEsBMs3vtzqNttF9Sag1KllWP+u0arS6YVuLylqNSrbPLWB2IbLu2t/DBf6eLgj+PbmWm9z34loyIiK7Z4r43dFKKutU3JToKPFUq9Op2Cs/tb//rNfoVEzVx1X5KXG1tLpOJdql1Q0XsFsavpAEO9jLVS210t9kqRVrmRAR2RezJt35+fnQaDRqFLox2T569Gizr5GEurn95XH98/rHWtrnXDU1NerW+IqFsazalnJeURRzkTXWUoBFEmf9T193Z/h7uqoEWxJtP08XuDlzWhsREXVs/O7o+PzJnjM4kVtulPdydnRQNUsaZoK5Gi5Uh/m6M8EmIiLzr+m2BLK+7MknnzTJe7u7OqmRY+Hw+1Vvdd/BQW03/Ed+NNyR55vsBwe1Llp/k8TZydERTg5QhVUk0Lu5OMLd2Un9lIRZKp3KVXRXZ0d4uDip5NrLTR5nMk1ERNbDpPHZpSE+S+kRR4nJDg6G+/JTtiXmyn4SV91cnNR9iatywdrXw6Xh5t5wIVv2JyIisrikOzg4GE5OTsjJyWnyuGyHh4c3+xp5/EL763/KYxEREU32kXVjzZHpcY2nvMmVdFmXZgz3je1ilPchIiKyFKaI3x0dn/84NNYo70NERHQxZu1B4erqikGDBmHTpk2Gx6QQi2wPHz682dfI4433F99//71hf6lWLgG88T4SpHfu3Nnie7q5uamF741vRERE1HHxm/GZiIhsldmnl8sV7JkzZ2Lw4MGqt6e0HJHqprNmzVLPz5gxA1FRUWqKmZg3bx7GjBmDl19+Gddeey3Wrl2L3bt344033lDPy/SuBx54AE8//bTqAapvGSYVzaU1CREREVle/CYiIrJVZk+6pYVIXl4eFixYoIqpyBTwDRs2GIqtpKenq4qoeiNGjFC9Pf/5z3/i8ccfV4m1VD5t3OPz0UcfVYH/nnvuQXFxMUaNGqXekz26iYiILDd+ExER2SKz9+m2RJbYB5SIiOwX4xI/ByIist74bNY13URERERERES2jEk3ERERERERkYkw6SYiIiIiIiIyESbdRERERERERCbCpJuIiIiIiIjIRJh0ExEREREREZkIk24iIiIiIiIiE3E21RtbM33rcum7RkREZG76eKSPT/aK8ZmIiKwxPjPpbkZZWZn6GRMTY4rfDRERUbvjk5+fn91+eozPRERkjfHZQWfvl82bodVqkZmZCR8fHzg4OFzy1Q9J3jMyMuDr6wtrZ0vnY0vnYmvnY0vnYmvnY0vnYk3nI6FaAnpkZCQcHe13ZRjjs/X/v2xv52Jr52NL52Jr52NL52KL8Zkj3c2QDyw6OtqovxD5n8WS/4ex5/OxpXOxtfOxpXOxtfOxpXMR1nA+9jzCrcf4bBv/L9vjudja+djSudja+djSudhSfLbfy+VEREREREREJsakm4iIiIiIiMhEmHSbmJubGxYuXKh+2gJbOh9bOhdbOx9bOhdbOx9bOhdbPB+y39+9LZ2PLZ2LrZ2PLZ2LrZ2PLZ2LLZ4PC6kRERERERERmQhHuomIiIiIiIhMhEk3ERERERERkYkw6SYiIiIiIiIyESbdJrZ06VLEx8fD3d0dQ4cOxa5du2DpFi1ahCFDhsDHxwehoaGYNGkSjh071mSf6upq/OUvf0FQUBC8vb0xZcoU5OTkwNI999xzcHBwwAMPPGC153L27Fncfvvt6ng9PDzQp08f7N692/C8TqfDggULEBERoZ4fP348Tpw4AUuj0WjwxBNPICEhQR1n586d8dRTT6njt4Zz+fnnn3H99dcjMjJS/T/12WefNXm+NcdeWFiI2267TfWf9Pf3x+zZs1FeXm5R51JXV4e///3v6v8zLy8vtc+MGTOQmZlpkefSmt9NY3/+85/VPkuWLLHY8yHTYHy2LIzPloPx2bJigC3F6J/tOD4z6TahdevW4aGHHlKV9/bs2YN+/fph4sSJyM3NhSX76aefVBK6Y8cOfP/99+ov9IQJE1BRUWHY58EHH8SXX36Jjz76SO0vf7knT54MS/brr7/i9ddfR9++fZs8bk3nUlRUhJEjR8LFxQXffvstDh8+jJdffhkBAQGGfV544QW88sorWL58OXbu3Kn+EZb/7+TigiV5/vnnsWzZMvz3v//FkSNH1LYc+6uvvmoV5yJ/H+TvtHxxb05rjl2CxqFDh9Tfs6+++koFo3vuuQeWdC6VlZXq3y+5QCI/169fry7C3XDDDU32s5Rzac3vRu/TTz9V/85J8D+XJZ0PGR/js2VhfDZ/TGuM8dmyYoAtxegKe47POjKZxMRE3V/+8hfDtkaj0UVGRuoWLVpkVZ96bm6uDD3qfvrpJ7VdXFysc3Fx0X300UeGfY4cOaL2SUpK0lmisrIyXdeuXXXff/+9bsyYMbp58+ZZ5bn8/e9/140aNarF57VarS48PFz34osvGh6Tc3Rzc9N98MEHOkty7bXX6u66664mj02ePFl32223Wd25yP8vn376qWG7Ncd++PBh9bpff/3VsM+3336rc3Bw0J09e1ZnKefSnF27dqn90tLSLPpcLnQ+Z86c0UVFRekOHjyoi4uL0/373/82PGfJ50PGwfhsORifLS+mMT5bbgywpRgNO4vPHOk2kdraWiQnJ6sppXqOjo5qOykpCdakpKRE/QwMDFQ/5bxk9LvxufXo0QOxsbEWe24ycn/ttdc2OWZrPJcvvvgCgwcPxi233KKm/g8YMAArVqwwPJ+SkoLs7Owm5+Pn56eWNlja+YwYMQKbNm3C8ePH1fZvv/2GrVu34uqrr7a6czlXa45dfsq0KPl96sn+8u+EjIxb+r8JMuVLjt8az0Wr1eKOO+7AI488gl69ep33vLWdD7UN47NlYXy2vJjG+GzdMcCaY7TWhuOzs7kPwFbl5+erNTFhYWFNHpfto0ePwlrI//yy/lmmNPfu3Vs9JsmEq6ur4S9z43OT5yzN2rVr1ZQbmb52Lms7l9OnT6sp2bJs4fHHH1fndP/996tzmDlzpuGYm/v/ztLO57HHHkNpaam6yOHk5KT+vjzzzDNq2pCwpnM5V2uOXX7KhZPGnJ2d1cUtSz4/mR4v68emT5+u1lNZ47nI1Ek5Pvm70xxrOx9qG8Zny8H4bJkxjfHZemOAtcfo5204PjPppotegT548KAagbRGGRkZmDdvnlr3IcXsrJ1cBJGre88++6zalpFu+f3IumFJuq3Jhx9+iPfeew/vv/++upq5b98+dYFH1u9Y27nYC5kVcuutt6oicXLxxxrJ7Jb//Oc/6kKcjAQQWSvGZ8vC+EzmZu0xOtnG4zOnl5tIcHCwGr07twq2bIeHh8MazJ07VxUo2Lx5M6Kjow2Py/HL9Lzi4mKLPzf5CyyF6wYOHKiuhMlNiqVJgSu5L1eYreVchFTC7tmzZ5PHLrvsMqSnp6v7+mO2hv/vZOqQXE2fNm2aqrop04mkqJ1Uz7e2czlXa45dfp5bVLG+vl5V5bTE89MH87S0NHURS38F3drO5ZdfflHHKktI9P8myDk9/PDDqtOEtZ0PtR3js2VgfLbcmMb4bH0xwBZi9C82Hp+ZdJuITPcdNGiQWrPa+CqobA8fPhyWTK6QScItlQN//PFH1dKpMTkvqZ7d+NykUqIkfpZ2buPGjcOBAwfUKKr+JiPFMoVZf99azkXINP9z27fJmui4uDh1X35X8o9O4/ORKdyyzsXSzkcqbsoanMbkQpX8PbG2czlXa45dfsrFHvniqSd/3+T8Ze23JQZzaXn2ww8/qHZ1jVnTucjFnf379zf5N0FmV8iXzI0bN1rd+VDbMT5bBsZny41pjM/WFQNsJUbfYevx2dyV3GzZ2rVrVbXiVatWqWp799xzj87f31+XnZ2ts2T33nuvzs/PT7dlyxZdVlaW4VZZWWnY589//rMuNjZW9+OPP+p2796tGz58uLpZg8bVy63tXKQipbOzs+6ZZ57RnThxQvfee+/pPD09dWvWrDHs89xzz6n/zz7//HPd/v37dTfeeKMuISFBV1VVpbMkM2fOVNUpv/rqK11KSopu/fr1uuDgYN2jjz5qFeciFXf37t2rbvJP6eLFi9V9fbXQ1hz7VVddpRswYIBu586duq1bt6oK+9OnT7eoc6mtrdXdcMMNuujoaN2+ffua/JtQU1NjcedysfNpzrnVUS3tfMj4GJ8tE+OzZWB8tqwYYEsxusyO4zOTbhN79dVXVULn6uqqWpTs2LFDZ+nkL0Fzt7ffftuwjyQO9913ny4gIEAlfTfddJP6C26NQd3azuXLL7/U9e7dW13Q6dGjh+6NN95o8ry0q3riiSd0YWFhap9x48bpjh07prM0paWl6vcgfz/c3d11nTp10v3jH/9oEiQs+Vw2b97c7N8T+bLS2mMvKChQgcLb21vn6+urmzVrlgpIlnQuckGkpX8T5HWWdi4XO5/WBnVLOh8yDcZny8P4bBkYny0rBthSjN5sx/HZQf5j7tF2IiIiIiIiIlvENd1EREREREREJsKkm4iIiIiIiMhEmHQTERERERERmQiTbiIiIiIiIiITYdJNREREREREZCJMuomIiIiIiIhMhEk3ERERERERkYkw6SYiIiIiIiIyESbdRERERERERCbCpJuILujOO++Eg4ODurm4uCAsLAxXXnklVq5cCa1Wy0+PiIjIDBifiawHk24iuqirrroKWVlZSE1NxbfffosrrrgC8+bNw3XXXYf6+np+gkRERGbA+ExkHZh0E9FFubm5ITw8HFFRURg4cCAef/xxfP755yoBX7Vqldpn8eLF6NOnD7y8vBATE4P77rsP5eXl6rmKigr4+vri448/bvK+n332mdq/rKwMtbW1mDt3LiIiIuDu7o64uDgsWrSIvx0iIiLGZyKrxqSbiNrlD3/4A/r164f169c3/GPi6IhXXnkFhw4dwurVq/Hjjz/i0UcfVc9JYj1t2jS8/fbbTd5Dtm+++Wb4+Pio137xxRf48MMPcezYMbz33nuIj4/nb4eIiIjxmciqOZv7AIjIevXo0QP79+9X9x944AHD45IsP/300/jzn/+M1157TT129913Y8SIEWqauoxm5+bm4ptvvsEPP/ygnk9PT0fXrl0xatQotX5cRrqJiIiI8ZnI2nGkm4jaTafTqQRZSPI8btw4NQVdRq7vuOMOFBQUoLKyUj2fmJiIXr16qVFwsWbNGpVYX3755YaCMPv27UP37t1x//3347vvvuNvhoiIiPGZyOox6Saidjty5AgSEhJUgTUpqta3b1988sknSE5OxtKlS9U+slZbT0a79WvAZWr5rFmzDEm7rBVPSUnBU089haqqKtx6661q6jkRERExPhNZMybdRNQusmb7wIEDmDJlikqypX3Yyy+/jGHDhqFbt27IzMw87zW333470tLS1Prtw4cPY+bMmU2el2JrU6dOxYoVK7Bu3TqVwBcWFvI3RERExPhMZLW4ppuILqqmpgbZ2dnQaDTIycnBhg0bVGVxGd2eMWMGDh48iLq6Orz66qu4/vrrsW3bNixfvvy89wkICMDkyZPxyCOPYMKECYiOjjY8J9XPZa33gAEDVFG2jz76SFVM9/f352+IiIiI8ZnIanGkm4guSpJsSYilQJr0BN28ebMarZa2YU5OTqqKuSTNzz//PHr37q0qj7fU7mv27Nlqyvldd93V5HFZB/7CCy9g8ODBGDJkiJqyLoXWJAEnIiIixmcia+Wgk0pIREQd5N1338WDDz6opp+7urrycyciIrIAjM9EpsPp5UTUIaSKubQLe+655/CnP/2JCTcREZEFYHwmMj3O2ySiDiFTx6Wvt6zTnj9/Pj91IiIiC8D4TGR6nF5OREREREREZCIc6SYiIiIiIiIyESbdRERERERERCbCpJuIiIiIiIjIRJh0ExEREREREZkIk24iIiIiIiIiE2HSTURERERERGQiTLqJiIiIiIiITIRJNxEREREREZGJMOkmIiIiIiIigmn8PzlLYnzAwvjqAAAAAElFTkSuQmCC",
-      "text/plain": [
-       "<Figure size 1000x400 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "clt.plot_metapop_total_deaths(flu_demo_model)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "id": "44a27269",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1000x400 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "clt.plot_metapop_epi_metrics(flu_demo_model)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "id": "27d96687",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "0.003\n",
-      "0.003\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Print the %population exposed for east and west Austin,\n",
-    "# knowing that some individuals are exposed twice since have R to S, many protected by immunity, but possibly not all\n",
-    "print(round(np.sum(np.asarray(east.transition_variables.S_to_E.history_vals_list))/NumIndiv_east,3))\n",
-    "print(round(np.sum(np.asarray(west.transition_variables.S_to_E.history_vals_list))/NumIndiv_west,3))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "id": "c9415928",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "7\n",
-      "13\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Print the per capita number of hospitalizations for east and west Austin\n",
-    "east_IS_to_H = np.asarray(east.transition_variables.ISH_to_HR.history_vals_list) + \\\n",
-    "    np.asarray(east.transition_variables.ISH_to_HD.history_vals_list)\n",
-    "west_IS_to_H = np.asarray(west.transition_variables.ISH_to_HR.history_vals_list) + \\\n",
-    "    np.asarray(west.transition_variables.ISH_to_HD.history_vals_list)\n",
-    "eastHosp = round(np.sum(east_IS_to_H)/NumIndiv_east*100000)\n",
-    "westHosp = round(np.sum(west_IS_to_H)/NumIndiv_west*100000)\n",
-    "eastHosp = round(np.sum(east_IS_to_H))\n",
-    "westHosp = round(np.sum(west_IS_to_H))\n",
-    "print(eastHosp)\n",
-    "print(westHosp)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "id": "d82f03ea",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "105\n",
-      "105\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Timing of hospitalization peak, first for East\n",
-    "# First need to sum over all \"H\" compartments\n",
-    "hospit_compartment_names = [name for name in east.compartments.keys() if \"H\" in name]\n",
-    "hospit_compartments_history = [east.compartments[compartment_name].history_vals_list for compartment_name in hospit_compartment_names]\n",
-    "total_hospitE = np.sum(np.asarray(hospit_compartments_history), axis=(0, 2, 3))\n",
-    "print(np.argmax(total_hospitE))\n",
-    "\n",
-    "# then for West\n",
-    "hospit_compartment_names = [name for name in west.compartments.keys() if \"H\" in name]\n",
-    "hospit_compartments_history = [west.compartments[compartment_name].history_vals_list for compartment_name in hospit_compartment_names]\n",
-    "total_hospitW = np.sum(np.asarray(hospit_compartments_history), axis=(0, 2, 3))\n",
-    "print(np.argmax(total_hospitW))\n",
-    "\n",
-    "# Peak hospitalizations was 11 in West on 1/27/25 and 10 in East on 1/28/25"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "9f84f62e",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "100\n",
-      "100\n",
-      "100\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Timing of infected peak, first for East\n",
-    "# First need to sum over all \"I\" compartments\n",
-    "infected_compartment_names = [name for name in east.compartments.keys() if \"I\" in name or \"H\" in name]\n",
-    "infected_compartments_history = [east.compartments[compartment_name].history_vals_list for compartment_name in infected_compartment_names]\n",
-    "total_infectedE = np.sum(np.asarray(infected_compartments_history), axis=(0, 2, 3))\n",
-    "print(np.argmax(total_infectedE))\n",
-    "\n",
-    "# then for West\n",
-    "infected_compartment_names = [name for name in west.compartments.keys() if \"I\" in name or \"H\" in name]\n",
-    "infected_compartments_history = [west.compartments[compartment_name].history_vals_list for compartment_name in infected_compartment_names]\n",
-    "total_infectedW = np.sum(np.asarray(infected_compartments_history), axis=(0, 2, 3))\n",
-    "print(np.argmax(total_infectedW))\n",
-    "\n",
-    "# and finally total\n",
-    "total_infected = np.asarray(total_infectedE+total_infectedW)\n",
-    "print(np.argmax(total_infectedW))\n",
-    "# Peak infection usually occurs ~2 weeks prior.\n",
-    "# [Comparing peak ILI and peak in hospitalizations: https://www.cdc.gov/flu/whats-new/flu-summary-2023-2024.html]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "id": "0e49b6d6",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "0.62\n",
-      "0.62\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Print the % of recovered that become susceptible again for east and west Austin\n",
-    "# It's the same since this is just based on rates of being recovered and going to susceptible, \n",
-    "#    which is same in two subpopulations\n",
-    "numRtoS_east = np.sum(np.asarray(east.transition_variables.R_to_S.history_vals_list))\n",
-    "numIAtoR_east = np.sum(np.asarray((east.transition_variables.IA_to_R.history_vals_list)))\n",
-    "numISRtoR_east = np.sum(np.asarray((east.transition_variables.ISR_to_R.history_vals_list)))\n",
-    "numHRtoR_east = np.sum(np.asarray((east.transition_variables.HR_to_R.history_vals_list)))\n",
-    "numR_east = numIAtoR_east + numISRtoR_east + numHRtoR_east\n",
-    "print(round(numRtoS_east/numR_east,2))\n",
-    "\n",
-    "numRtoS_west = np.sum(np.asarray(east.transition_variables.R_to_S.history_vals_list))\n",
-    "numIAtoR_west = np.sum(np.asarray((east.transition_variables.IA_to_R.history_vals_list)))\n",
-    "numISRtoR_west = np.sum(np.asarray((east.transition_variables.ISR_to_R.history_vals_list)))\n",
-    "numHRtoR_west = np.sum(np.asarray((east.transition_variables.HR_to_R.history_vals_list)))\n",
-    "numR_west = numIAtoR_west + numISRtoR_west + numHRtoR_west\n",
-    "print(round(numRtoS_west/numR_west,2))\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "de2150aa",
-   "metadata": {},
-   "source": [
-    "Printing Results to File"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "id": "575a4a09",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "## Print to file the value of M over time in East and West -- changing all M to MV would do the same for MV\n",
-    "## First line sums across risk group, so end up with array that just varies over age and time\n",
-    "#MV_East = np.sum(np.asarray(east.epi_metrics.MV.history_vals_list), axis=(2))\n",
-    "#MV_West = np.sum(np.asarray(west.epi_metrics.MV.history_vals_list), axis=(2))\n",
-    "#np.savetxt('MV_East.csv', MV_East,'%1.3f',',')\n",
-    "#np.savetxt('MV_West.csv', MV_West,'%1.3f',',')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "id": "3f7c0559",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "## Print to file number of infected over time across all age groups\n",
-    "#np.savetxt('I_E.csv', total_infectedE,'%1.0f',',')\n",
-    "#np.savetxt('I_W.csv', total_infectedW,'%1.0f',',')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "id": "c72badea",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "## Print to file the total number of recovered in west and the number of transitions from R to S (could extend to get east also)\n",
-    "## to get total_recoveredW, sum across subpop, age and risk, so end up with array that just varies over time (axis=1)\n",
-    "## to get total_RtoS, sum across age and risk group, so end up with array that just varies over time\n",
-    "#recovered_compartment_names = [name for name in west.compartments.keys() if \"R\" in name]\n",
-    "#recovered_compartments_history = [west.compartments[compartment_name].history_vals_list for compartment_name in infected_compartment_names]\n",
-    "#total_recoveredW = np.sum(np.asarray(recovered_compartments_history), axis=(0, 2, 3))\n",
-    "#total_RtoS = np.sum(np.asarray(west.transition_variables.R_to_S.history_vals_list), axis=(1))\n",
-    "#np.savetxt('numRtoS.csv', total_RtoS,'%1.0f',',')\n",
-    "#np.savetxt('numR_west.csv', total_recoveredW, '%1.0f',',')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "id": "fab47835",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "## Print to file the total number of exposed over time, this time preserving different age groups\n",
-    "## First line sums across risk group, so end with time x age matrix.  Need a 2D array for np.savetxt\n",
-    "#ExposedW = np.sum(np.asarray(west.compartments.E.history_vals_list), axis=(2))\n",
-    "#np.savetxt('Exposed_West.csv', ExposedE, '%1.0f', ',')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "id": "0fd4db33",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "## Print to file the total number of deaths over time, this time preserving different age groups\n",
-    "## First line sums across risk group, so end with time x age matrix.  Need a 2D array for np.savetxt\n",
-    "#Deaths = np.sum(np.asarray(east.compartments.D.history_vals_list), axis=(2))\n",
-    "#np.savetxt('Deaths.csv', Deaths, '%1.0f', ',')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "1bd8ef95",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": ".venv",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.11.14"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/flu_instances/examples/flu_demo_3popAustin.ipynb b/flu_instances/examples/flu_demo_3popAustin.ipynb
new file mode 100644
index 0000000..7449b4b
--- /dev/null
+++ b/flu_instances/examples/flu_demo_3popAustin.ipynb
@@ -0,0 +1,590 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "42ab1932-d72e-45f2-b27e-c628c62d08a1",
+   "metadata": {},
+   "source": [
+    "# Overview"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5884588d-2b40-45ff-adcd-94dfd0fc0463",
+   "metadata": {},
+   "source": [
+    "Simple demo with flu model with \"toy\" (not necessarily realistic or finalized) parameters\n",
+    "\n",
+    "We go over\n",
+    "- How to set up subpopulation models and metapopulation models.\n",
+    "- How to run accept-reject algorithm.\n",
+    "- How to run experiments to organize output of multiple replications. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "01e5a95f-6833-4723-b369-e03eb1f64025",
+   "metadata": {},
+   "source": [
+    "# Imports"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 60,
+   "id": "8948cfc7-d6fa-45b3-b98d-c7f81379ceec",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Misc: suppress SSE4.2 deprecation warnings\n",
+    "# This is not an error, just a warning about future hardware compatibility (not relevant in general)\n",
+    "import os\n",
+    "os.environ[\"MKL_DEBUG_CPU_TYPE\"] = \"5\" \n",
+    "\n",
+    "from pathlib import Path\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "\n",
+    "# Import city-level transmission base components module\n",
+    "import clt_toolkit as clt\n",
+    "\n",
+    "# Import flu model module, which contains customized subclasses\n",
+    "import flu_core as flu\n",
+    "\n",
+    "# Import immunity module, which contains some nice graphing functions\n",
+    "#import toy_immunity_core as imm\n",
+    "\n",
+    "import json"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "71a20de2-2c0a-4d20-bcf6-af57f2a8a30f",
+   "metadata": {},
+   "source": [
+    "# Reading Input Files"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "id": "00b59007-7bde-4453-b6bd-943e7ad2e6b8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Note that this can be cumbersome due to the complexity of the model \n",
+    "# Users may prefer to create the model inputs or even the models themselves in a separate .py file and import them! \n",
+    "\n",
+    "# Obtain path to folder with JSON input files\n",
+    "#base_path = clt.utils.PROJECT_ROOT / \"flu_instances\" / \"austin3_input_files_2023_2024\"\n",
+    "base_path = clt.utils.PROJECT_ROOT / \"flu_instances\" / \"austin3_input_files_2024_2025\"\n",
+    "\n",
+    "# Get filepaths for east subpopulation\n",
+    "east_compartments_epi_metrics_init_vals_filepath = base_path / \"init_vals_East.json\"\n",
+    "\n",
+    "# Read in files as dictionaries and dataframes for east subpopulation\n",
+    "# Note that we can also create these dictionaries directly\n",
+    "#   rather than reading from a predefined input data file.\n",
+    "east_state = clt.make_dataclass_from_json(east_compartments_epi_metrics_init_vals_filepath,\n",
+    "                                     flu.FluSubpopState)\n",
+    "east_vaccines_df = pd.read_csv(base_path / \"daily_vaccines_East.csv\", index_col=0)\n",
+    "east_calendar_df = pd.read_csv(base_path / \"school_work_calendar_austin_East.csv\", index_col=0)\n",
+    "\n",
+    "# Get filepaths for mid subpopulation\n",
+    "mid_compartments_epi_metrics_init_vals_filepath = base_path / \"init_vals_Mid.json\"\n",
+    "\n",
+    "# Read in files as dictionaries and dataframes for east subpopulation\n",
+    "# Note that we can also create these dictionaries directly\n",
+    "#   rather than reading from a predefined input data file.\n",
+    "mid_state = clt.make_dataclass_from_json(mid_compartments_epi_metrics_init_vals_filepath,\n",
+    "                                     flu.FluSubpopState)\n",
+    "mid_vaccines_df = pd.read_csv(base_path / \"daily_vaccines_Mid.csv\", index_col=0)\n",
+    "mid_calendar_df = pd.read_csv(base_path / \"school_work_calendar_austin_Mid.csv\", index_col=0)\n",
+    "\n",
+    "# Get filepaths for west subpopulation\n",
+    "west_compartments_epi_metrics_init_vals_filepath = base_path / \"init_vals_West.json\"\n",
+    "\n",
+    "# Read in files as dictionaries and dataframes for west subpopulation\n",
+    "# Note that we can also create these dictionaries directly\n",
+    "#   rather than reading from a predefined input data file.\n",
+    "west_state = clt.make_dataclass_from_json(west_compartments_epi_metrics_init_vals_filepath,\n",
+    "                                     flu.FluSubpopState)\n",
+    "west_vaccines_df = pd.read_csv(base_path / \"daily_vaccines_West.csv\", index_col=0)\n",
+    "west_calendar_df = pd.read_csv(base_path / \"school_work_calendar_austin_West.csv\", index_col=0)\n",
+    "\n",
+    "# Get filepaths for files shared across subpopulations\n",
+    "subpop_params_filepath = base_path / \"common_subpop_params.json\"\n",
+    "mixing_params_filepath = base_path / \"mixing_params.json\"\n",
+    "simulation_settings_filepath = base_path / \"simulation_settings.json\"\n",
+    "\n",
+    "humidity_df = pd.read_csv(base_path / \"absolute_humidity_austin.csv\", index_col=0)\n",
+    "mobility_modifier_df = pd.read_csv(base_path / \"mobility_modifier.csv\", index_col=0)\n",
+    "\n",
+    "# Read in files as dictionaries and dataframes for files shared across subpopulations\n",
+    "# Note that we can also create these dictionaries directly\n",
+    "#   rather than reading from a predefined input data file.\n",
+    "params = clt.make_dataclass_from_json(subpop_params_filepath, flu.FluSubpopParams)\n",
+    "mixing_params = clt.make_dataclass_from_json(mixing_params_filepath, flu.FluMixingParams)\n",
+    "settings = clt.make_dataclass_from_json(simulation_settings_filepath, flu.SimulationSettings)\n",
+    "\n",
+    "# Set the schedules for each subpopulation\n",
+    "east_schedules_info = flu.FluSubpopSchedules(absolute_humidity=humidity_df,\n",
+    "                                        flu_contact_matrix=east_calendar_df,\n",
+    "                                        daily_vaccines=east_vaccines_df,\n",
+    "                                        mobility_modifier=mobility_modifier_df)\n",
+    "mid_schedules_info = flu.FluSubpopSchedules(absolute_humidity=humidity_df,\n",
+    "                                        flu_contact_matrix=mid_calendar_df,\n",
+    "                                        daily_vaccines=mid_vaccines_df,\n",
+    "                                        mobility_modifier=mobility_modifier_df)\n",
+    "west_schedules_info = flu.FluSubpopSchedules(absolute_humidity=humidity_df,\n",
+    "                                        flu_contact_matrix=west_calendar_df,\n",
+    "                                        daily_vaccines=west_vaccines_df,\n",
+    "                                        mobility_modifier=mobility_modifier_df)\n",
+    "\n",
+    "# Create two independent bit generators\n",
+    "bit_generator = np.random.MT19937(88888)\n",
+    "jumped_bit_generator = bit_generator.jumped(1)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d1ab0b6c-6e75-4473-9e86-dac59e2d44fe",
+   "metadata": {},
+   "source": [
+    "# Creating Subpopulation Models"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "id": "9b601dd8-4d09-4bbb-a1e9-3b7d689b48fe",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/susan/Pycharm/CLT_BaseModel/flu_core/flu_components.py:497: UserWarning: Vaccine immunity reset date is set as 07/30. \n",
+      "Initial vaccine-induced immunity value is being adjusted by resetting immunity to 0 at that date, and by taking into account vaccines administered after this date, and before simulation start date.\n",
+      "  warnings.warn(msg)\n",
+      "/Users/susan/Pycharm/CLT_BaseModel/flu_core/flu_components.py:497: UserWarning: Vaccine immunity reset date is set as 07/30. \n",
+      "Initial vaccine-induced immunity value is being adjusted by resetting immunity to 0 at that date, and by taking into account vaccines administered after this date, and before simulation start date.\n",
+      "  warnings.warn(msg)\n",
+      "/Users/susan/Pycharm/CLT_BaseModel/flu_core/flu_components.py:497: UserWarning: Vaccine immunity reset date is set as 07/30. \n",
+      "Initial vaccine-induced immunity value is being adjusted by resetting immunity to 0 at that date, and by taking into account vaccines administered after this date, and before simulation start date.\n",
+      "  warnings.warn(msg)\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Create two subpopulation models, one for the east\n",
+    "#   side of the city and one for the west side of the city\n",
+    "# In this case, these two (toy) subpopulations have the\n",
+    "#   same demographics, initial compartment and epi metric values,\n",
+    "#   fixed parameters, and school-work calendar.\n",
+    "# If we wanted the \"east\" subpopulation and \"west\"\n",
+    "#   subpopulation to have different aforementioned values,\n",
+    "#   we could read in two separate sets of files -- one\n",
+    "#   for each subpopulation.\n",
+    "east = flu.FluSubpopModel(east_state,\n",
+    "                           params,\n",
+    "                           settings,\n",
+    "                           np.random.Generator(bit_generator),\n",
+    "                           east_schedules_info,\n",
+    "                           name=\"east\")\n",
+    "\n",
+    "mid = flu.FluSubpopModel(mid_state,\n",
+    "                           params,\n",
+    "                           settings,\n",
+    "                           np.random.Generator(bit_generator),\n",
+    "                           mid_schedules_info,\n",
+    "                           name=\"mid\")\n",
+    "\n",
+    "west = flu.FluSubpopModel(west_state,\n",
+    "                           params,\n",
+    "                           settings,\n",
+    "                           np.random.Generator(jumped_bit_generator),\n",
+    "                           west_schedules_info,\n",
+    "                           name=\"west\")\n",
+    "\n",
+    "# If a metapopulation model has N subpopulations that have most of their parameters in common,\n",
+    "#    users can make a JSON file with common parameters, and N smaller JSON files with\n",
+    "#    parameters that are specific to each subpopulation.\n",
+    "# We recommend using `clt_toolkit / utils` functions `updated_dataclass()` and `updated_dict()` for this."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 63,
+   "id": "ff3d3a32",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "329463.0\n",
+      "325521.0\n",
+      "511864.0\n"
+     ]
+    }
+   ],
+   "source": [
+    "## Determine the total number of individuals in each subpopulation to compute per capita statistics\n",
+    "NumIndiv_east = np.sum(east.params.total_pop_age_risk)\n",
+    "NumIndiv_mid = np.sum(mid.params.total_pop_age_risk)\n",
+    "NumIndiv_west = np.sum(west.params.total_pop_age_risk)\n",
+    "print (NumIndiv_east)\n",
+    "print (NumIndiv_mid)\n",
+    "print (NumIndiv_west)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9a4aabdc-9883-4e45-a371-199b7145de25",
+   "metadata": {},
+   "source": [
+    "# Modifying Parameters"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 64,
+   "id": "a78193bf-7989-4779-91ab-5772771f7375",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.045\n",
+      "0.045\n",
+      "0.045\n"
+     ]
+    }
+   ],
+   "source": [
+    "# We can also manually change a fixed parameter value\n",
+    "#   after we have created a SubpopModel -- like so...\n",
+    "east.params = clt.updated_dataclass(east.params, {\"beta_baseline\": 0.045})\n",
+    "mid.params = clt.updated_dataclass(mid.params, {\"beta_baseline\": 0.045})\n",
+    "west.params = clt.updated_dataclass(west.params, {\"beta_baseline\": 0.045})\n",
+    "\n",
+    "# The structure of the code allows us to access\n",
+    "#   the current state and fixed parameters of each\n",
+    "#   subpopulation model.\n",
+    "# For example, here we print out the fixed parameter value for beta_baseline\n",
+    "print(east.params.beta_baseline)\n",
+    "print(mid.params.beta_baseline)\n",
+    "print(west.params.beta_baseline)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "eef0842e-bab0-4be0-a65a-9f48b7e6cfa9",
+   "metadata": {},
+   "source": [
+    "# Create Metapopulation Model"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 65,
+   "id": "f44aa524-3dc7-4010-9863-f0fc5b89585e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Combine two subpopulations into one metapopulation model (travel model)\n",
+    "flu_demo_model = flu.FluMetapopModel([east, mid, west],\n",
+    "                                     mixing_params)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f7a1c0e4-76e4-4d89-ab43-a8d67776cbec",
+   "metadata": {},
+   "source": [
+    "# Simulation and Analysis"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 66,
+   "id": "b3aa79bb-11df-47fc-b581-70849b26ca1a",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0 2024-09-15\n",
+      "210 2025-04-13\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Get the current real date of the simulation and the\n",
+    "#   current simulation day\n",
+    "print(flu_demo_model.current_simulation_day, flu_demo_model.current_real_date)\n",
+    "\n",
+    "# Simulate for a given number of days\n",
+    "flu_demo_model.simulate_until_day(210)\n",
+    "\n",
+    "# Get the current real date of the simulation and the\n",
+    "#   current simulation day\n",
+    "print(flu_demo_model.current_simulation_day, flu_demo_model.current_real_date)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 67,
+   "id": "5c0e8cf6-8f53-485f-9bcd-84da258d8fc6",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x800 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Generate simple compartment history plot for flu model\n",
+    "clt.plot_metapop_basic_compartment_history(flu_demo_model)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 68,
+   "id": "a63278ef",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x800 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "clt.plot_metapop_total_infected(flu_demo_model)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 69,
+   "id": "97e9edf4",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x800 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "clt.plot_metapop_TransitionVariable(flu_demo_model)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 70,
+   "id": "41c5c693",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x800 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "clt.plot_metapop_total_deaths(flu_demo_model)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 71,
+   "id": "44a27269",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x800 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "clt.plot_metapop_epi_metrics(flu_demo_model)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 72,
+   "id": "cd76d10d",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.339\n",
+      "0.34\n",
+      "0.361\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Print the %population exposed \n",
+    "# knowing that some individuals are exposed twice since have R to S, many protected by immunity, but possibly not all\n",
+    "print(round(np.sum(np.asarray(east.transition_variables.S_to_E.history_vals_list))/NumIndiv_east,3))\n",
+    "print(round(np.sum(np.asarray(mid.transition_variables.S_to_E.history_vals_list))/NumIndiv_mid,3))\n",
+    "print(round(np.sum(np.asarray(west.transition_variables.S_to_E.history_vals_list))/NumIndiv_west,3))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 73,
+   "id": "c9415928",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "437\n",
+      "501\n",
+      "977\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Print the per capita number of hospitalizations for east and west Austin\n",
+    "east_IS_to_H = np.asarray(east.transition_variables.ISH_to_HR.history_vals_list) + \\\n",
+    "    np.asarray(east.transition_variables.ISH_to_HD.history_vals_list)\n",
+    "mid_IS_to_H = np.asarray(mid.transition_variables.ISH_to_HR.history_vals_list) + \\\n",
+    "    np.asarray(mid.transition_variables.ISH_to_HD.history_vals_list)\n",
+    "west_IS_to_H = np.asarray(west.transition_variables.ISH_to_HR.history_vals_list) + \\\n",
+    "    np.asarray(west.transition_variables.ISH_to_HD.history_vals_list)\n",
+    "eastHosp = round(np.sum(east_IS_to_H)/NumIndiv_east*100000)\n",
+    "midHosp = round(np.sum(mid_IS_to_H)/NumIndiv_mid*100000)\n",
+    "westHosp = round(np.sum(west_IS_to_H)/NumIndiv_west*100000)\n",
+    "eastHosp = round(np.sum(east_IS_to_H))\n",
+    "midHosp = round(np.sum(mid_IS_to_H))\n",
+    "westHosp = round(np.sum(west_IS_to_H))\n",
+    "print(eastHosp)\n",
+    "print(midHosp)\n",
+    "print(westHosp)\n",
+    "# Cumulative hospitalizations was 284 in West and 315 in East"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 74,
+   "id": "d82f03ea",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "98\n",
+      "98\n",
+      "97\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Timing of hospitalization peak, first for East\n",
+    "# First need to sum over all \"H\" compartments\n",
+    "hospit_compartment_names = [name for name in east.compartments.keys() if \"H\" in name]\n",
+    "hospit_compartments_history = [east.compartments[compartment_name].history_vals_list for compartment_name in hospit_compartment_names]\n",
+    "total_hospitE = np.sum(np.asarray(hospit_compartments_history), axis=(0, 2, 3))\n",
+    "print(np.argmax(total_hospitE))\n",
+    "\n",
+    "# then for Mid\n",
+    "hospit_compartment_names = [name for name in mid.compartments.keys() if \"H\" in name]\n",
+    "hospit_compartments_history = [mid.compartments[compartment_name].history_vals_list for compartment_name in hospit_compartment_names]\n",
+    "total_hospitM = np.sum(np.asarray(hospit_compartments_history), axis=(0, 2, 3))\n",
+    "print(np.argmax(total_hospitM))\n",
+    "\n",
+    "# then for West\n",
+    "hospit_compartment_names = [name for name in west.compartments.keys() if \"H\" in name]\n",
+    "hospit_compartments_history = [west.compartments[compartment_name].history_vals_list for compartment_name in hospit_compartment_names]\n",
+    "total_hospitW = np.sum(np.asarray(hospit_compartments_history), axis=(0, 2, 3))\n",
+    "print(np.argmax(total_hospitW))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 75,
+   "id": "9185136a",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "24.0\n",
+      "29.0\n",
+      "61.0\n"
+     ]
+    }
+   ],
+   "source": [
+    "## Total number of deaths is the number at the end (so last element in the array [-1]), since no one leaves death compartment\n",
+    "## Then sum across all age groups\n",
+    "Deaths = np.sum(np.asarray(east.compartments.D.history_vals_list)[-1])\n",
+    "print(round(Deaths,0))\n",
+    "Deaths = np.sum(np.asarray(mid.compartments.D.history_vals_list)[-1])\n",
+    "print(round(Deaths,0))\n",
+    "Deaths = np.sum(np.asarray(west.compartments.D.history_vals_list)[-1])\n",
+    "print(round(Deaths,0))"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/flu_instances/examples/flu_demo_experiments_only.ipynb b/flu_instances/examples/flu_demo_experiments_only.ipynb
new file mode 100644
index 0000000..3eeddb9
--- /dev/null
+++ b/flu_instances/examples/flu_demo_experiments_only.ipynb
@@ -0,0 +1,803 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "42ab1932-d72e-45f2-b27e-c628c62d08a1",
+   "metadata": {},
+   "source": [
+    "# Overview"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5884588d-2b40-45ff-adcd-94dfd0fc0463",
+   "metadata": {},
+   "source": [
+    "Simple demo with flu model with \"toy\" (not necessarily realistic or finalized) parameters\n",
+    "\n",
+    "We go over\n",
+    "- How to set up subpopulation models and metapopulation models.\n",
+    "- How to run accept-reject algorithm.\n",
+    "- How to run experiments to organize output of multiple replications. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "01e5a95f-6833-4723-b369-e03eb1f64025",
+   "metadata": {},
+   "source": [
+    "# Imports"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "8948cfc7-d6fa-45b3-b98d-c7f81379ceec",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-01-22T19:10:37.083548Z",
+     "iopub.status.busy": "2026-01-22T19:10:37.083400Z",
+     "iopub.status.idle": "2026-01-22T19:10:45.888330Z",
+     "shell.execute_reply": "2026-01-22T19:10:45.888048Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "# Misc: suppress SSE4.2 deprecation warnings\n",
+    "# This is not an error, just a warning about future hardware compatibility (not relevant in general)\n",
+    "import os\n",
+    "os.environ[\"MKL_DEBUG_CPU_TYPE\"] = \"5\" \n",
+    "\n",
+    "from pathlib import Path\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "\n",
+    "# Import city-level transmission base components module\n",
+    "import clt_toolkit as clt\n",
+    "\n",
+    "# Import flu model module, which contains customized subclasses\n",
+    "import flu_core as flu\n",
+    "\n",
+    "import json"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "71a20de2-2c0a-4d20-bcf6-af57f2a8a30f",
+   "metadata": {},
+   "source": [
+    "# Reading Input Files"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "00b59007-7bde-4453-b6bd-943e7ad2e6b8",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-01-22T19:10:45.890384Z",
+     "iopub.status.busy": "2026-01-22T19:10:45.890231Z",
+     "iopub.status.idle": "2026-01-22T19:10:45.903398Z",
+     "shell.execute_reply": "2026-01-22T19:10:45.903137Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "# Note that this can be cumbersome due to the complexity of the model \n",
+    "# Users may prefer to create the model inputs or even the models themselves in a separate .py file and import them! \n",
+    "\n",
+    "# Obtain path to folder with JSON input files\n",
+    "base_path = clt.utils.PROJECT_ROOT / \"flu_instances\" / \"texas_input_files\"\n",
+    "\n",
+    "# Get filepaths\n",
+    "compartments_epi_metrics_init_vals_filepath = base_path / \"init_vals.json\"\n",
+    "subpop_params_filepath = base_path / \"common_subpop_params.json\"\n",
+    "mixing_params_filepath = base_path / \"mixing_params.json\"\n",
+    "simulation_settings_filepath = base_path / \"simulation_settings.json\"\n",
+    "\n",
+    "calendar_df = pd.read_csv(base_path / \"school_work_calendar.csv\", index_col=0)\n",
+    "humidity_df = pd.read_csv(base_path / \"absolute_humidity_austin_2023_2024.csv\", index_col=0)\n",
+    "vaccines_df = pd.read_csv(base_path / \"daily_vaccines_constant.csv\", index_col=0)\n",
+    "mobility_modifier_df = pd.read_csv(base_path / \"mobility_modifier.csv\", index_col=0)\n",
+    "\n",
+    "schedules_info = flu.FluSubpopSchedules(absolute_humidity=humidity_df,\n",
+    "                                        flu_contact_matrix=calendar_df,\n",
+    "                                        daily_vaccines=vaccines_df,\n",
+    "                                        mobility_modifier=mobility_modifier_df)\n",
+    "\n",
+    "# Read in files as dictionaries and dataframes.\n",
+    "# Note that we can also create these dictionaries directly\n",
+    "#   rather than reading from a predefined input data file.\n",
+    "state = clt.make_dataclass_from_json(compartments_epi_metrics_init_vals_filepath,\n",
+    "                                     flu.FluSubpopState)\n",
+    "params = clt.make_dataclass_from_json(subpop_params_filepath, flu.FluSubpopParams)\n",
+    "mixing_params = clt.make_dataclass_from_json(mixing_params_filepath, flu.FluMixingParams)\n",
+    "settings = clt.make_dataclass_from_json(simulation_settings_filepath, flu.SimulationSettings)\n",
+    "\n",
+    "# Create two independent bit generators\n",
+    "bit_generator = np.random.MT19937(88888)\n",
+    "jumped_bit_generator = bit_generator.jumped(1)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d1ab0b6c-6e75-4473-9e86-dac59e2d44fe",
+   "metadata": {},
+   "source": [
+    "# Creating Subpopulation Models"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "9b601dd8-4d09-4bbb-a1e9-3b7d689b48fe",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-01-22T19:10:45.905071Z",
+     "iopub.status.busy": "2026-01-22T19:10:45.904990Z",
+     "iopub.status.idle": "2026-01-22T19:10:45.919975Z",
+     "shell.execute_reply": "2026-01-22T19:10:45.919721Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/susan/Pycharm/CLT_BaseModel/flu_core/flu_components.py:497: UserWarning: Vaccine immunity reset date is set as 08/01. \n",
+      "Initial vaccine-induced immunity value is being adjusted by resetting immunity to 0 at that date, and by taking into account vaccines administered after this date, and before simulation start date.\n",
+      "  warnings.warn(msg)\n",
+      "/Users/susan/Pycharm/CLT_BaseModel/flu_core/flu_components.py:497: UserWarning: Vaccine immunity reset date is set as 08/01. \n",
+      "Initial vaccine-induced immunity value is being adjusted by resetting immunity to 0 at that date, and by taking into account vaccines administered after this date, and before simulation start date.\n",
+      "  warnings.warn(msg)\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Create two subpopulation models, one for the north\n",
+    "#   side of the city and one for the south side of the city\n",
+    "# In this case, these two (toy) subpopulations have the\n",
+    "#   same demographics, initial compartment and epi metric values,\n",
+    "#   fixed parameters, and school-work calendar.\n",
+    "# If we wanted the \"north\" subpopulation and \"south\"\n",
+    "#   subpopulation to have different aforementioned values,\n",
+    "#   we could read in two separate sets of files -- one\n",
+    "#   for each subpopulation.\n",
+    "north = flu.FluSubpopModel(state,\n",
+    "                           params,\n",
+    "                           settings,\n",
+    "                           np.random.Generator(bit_generator),\n",
+    "                           schedules_info,\n",
+    "                           name=\"north\")\n",
+    "\n",
+    "south = flu.FluSubpopModel(state,\n",
+    "                           params,\n",
+    "                           settings,\n",
+    "                           np.random.Generator(jumped_bit_generator),\n",
+    "                           schedules_info,\n",
+    "                           name=\"south\")\n",
+    "\n",
+    "# If a metapopulation model has N subpopulations that have most of their parameters in common,\n",
+    "#    users can make a JSON file with common parameters, and N smaller JSON files with\n",
+    "#    parameters that are specific to each subpopulation.\n",
+    "# We recommend using `clt_toolkit / utils` functions `updated_dataclass()` and `updated_dict()` for this."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9a4aabdc-9883-4e45-a371-199b7145de25",
+   "metadata": {},
+   "source": [
+    "# Modifying Parameters"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "a78193bf-7989-4779-91ab-5772771f7375",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-01-22T19:10:45.921600Z",
+     "iopub.status.busy": "2026-01-22T19:10:45.921519Z",
+     "iopub.status.idle": "2026-01-22T19:10:45.923438Z",
+     "shell.execute_reply": "2026-01-22T19:10:45.923235Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "10\n"
+     ]
+    }
+   ],
+   "source": [
+    "# We can also manually change a fixed parameter value\n",
+    "#   after we have created a SubpopModel -- like so...\n",
+    "# Note that this is quite a large and unrealistic value of\n",
+    "#   beta_baseline, but we'll use this to create\n",
+    "#   a dramatic difference between the two subpopulations.\n",
+    "south.params = clt.updated_dataclass(south.params, {\"beta_baseline\": 10})\n",
+    "\n",
+    "# The structure of the code allows us to access\n",
+    "#   the current state and fixed parameters of each\n",
+    "#   subpopulation model.\n",
+    "# For example, here we print out the fixed parameter\n",
+    "#   value for beta_baseline for the \"south\" subpopulation.\n",
+    "print(south.params.beta_baseline)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "eef0842e-bab0-4be0-a65a-9f48b7e6cfa9",
+   "metadata": {},
+   "source": [
+    "# Create Metapopulation Model"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "f44aa524-3dc7-4010-9863-f0fc5b89585e",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-01-22T19:10:45.924841Z",
+     "iopub.status.busy": "2026-01-22T19:10:45.924771Z",
+     "iopub.status.idle": "2026-01-22T19:10:45.940588Z",
+     "shell.execute_reply": "2026-01-22T19:10:45.940350Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "# Combine two subpopulations into one metapopulation model (travel model)\n",
+    "flu_demo_model = flu.FluMetapopModel([north, south],\n",
+    "                                     mixing_params)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d04e2b6b-f10d-43b5-8407-b2b3b58aec0f",
+   "metadata": {},
+   "source": [
+    "# Experiments"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "0abf5423-98ea-4eb1-a67a-a152a8a3cf1a",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-01-22T19:10:47.840134Z",
+     "iopub.status.busy": "2026-01-22T19:10:47.840034Z",
+     "iopub.status.idle": "2026-01-22T19:10:50.596396Z",
+     "shell.execute_reply": "2026-01-22T19:10:50.596127Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "# Create an experiment class to record \"HR\", \"HD\", and \"D\" compartment values\n",
+    "experiment = clt.Experiment(model = flu_demo_model, \n",
+    "                            state_variables_to_record = [\"HR\", \"HD\", \"D\"], \n",
+    "                            database_filename = \"flu_demo_H_D_results.db\")\n",
+    "\n",
+    "# Run the simulation for 10 independent replications, for 100 days, and save the values of\n",
+    "#    \"HR\", \"HD\", and \"D\" every 7 days. Save the results in a CSV file. \n",
+    "experiment.run_static_inputs(num_reps = 10, \n",
+    "                             simulation_end_day = 100, \n",
+    "                             days_between_save_history = 7, \n",
+    "                             results_filename = \"flu_demo_H_D_results.csv\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "816ac3dc-c273-48fb-8621-7fa60d55e0fc",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-01-22T19:10:50.597834Z",
+     "iopub.status.busy": "2026-01-22T19:10:50.597754Z",
+     "iopub.status.idle": "2026-01-22T19:10:50.622103Z",
+     "shell.execute_reply": "2026-01-22T19:10:50.621932Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>subpop_name</th>\n",
+       "      <th>state_var_name</th>\n",
+       "      <th>age_group</th>\n",
+       "      <th>risk_group</th>\n",
+       "      <th>rep</th>\n",
+       "      <th>timepoint</th>\n",
+       "      <th>value</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>north</td>\n",
+       "      <td>HR</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>7</td>\n",
+       "      <td>10.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>north</td>\n",
+       "      <td>HR</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>7</td>\n",
+       "      <td>35.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>north</td>\n",
+       "      <td>HR</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>7</td>\n",
+       "      <td>105.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>north</td>\n",
+       "      <td>HR</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>7</td>\n",
+       "      <td>68.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>north</td>\n",
+       "      <td>HR</td>\n",
+       "      <td>4</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>7</td>\n",
+       "      <td>261.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  subpop_name state_var_name  age_group  risk_group  rep  timepoint  value\n",
+       "0       north             HR          0           0    0          7   10.0\n",
+       "1       north             HR          1           0    0          7   35.0\n",
+       "2       north             HR          2           0    0          7  105.0\n",
+       "3       north             HR          3           0    0          7   68.0\n",
+       "4       north             HR          4           0    0          7  261.0"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Here's the CSV we just created -- pretty nifty! :) \n",
+    "H_D_results_df = pd.read_csv(\"flu_demo_H_D_results.csv\", index_col=0)\n",
+    "\n",
+    "H_D_results_df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "cabb515c-83e9-4b05-ab69-f1d2f26b155e",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-01-22T19:10:50.623540Z",
+     "iopub.status.busy": "2026-01-22T19:10:50.623462Z",
+     "iopub.status.idle": "2026-01-22T19:10:50.875411Z",
+     "shell.execute_reply": "2026-01-22T19:10:50.874933Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "flu_demo_H_D_results.db\n"
+     ]
+    }
+   ],
+   "source": [
+    "# `run_static_inputs` also creates a SQL database with the large-scale output from our experiment.\n",
+    "!ls *.db*"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "4532cd0c-c134-4a91-9b3b-4023c168fa53",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-01-22T19:10:50.877912Z",
+     "iopub.status.busy": "2026-01-22T19:10:50.877735Z",
+     "iopub.status.idle": "2026-01-22T19:10:50.904320Z",
+     "shell.execute_reply": "2026-01-22T19:10:50.904070Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th>timepoint</th>\n",
+       "      <th>7</th>\n",
+       "      <th>14</th>\n",
+       "      <th>21</th>\n",
+       "      <th>28</th>\n",
+       "      <th>35</th>\n",
+       "      <th>42</th>\n",
+       "      <th>49</th>\n",
+       "      <th>56</th>\n",
+       "      <th>63</th>\n",
+       "      <th>70</th>\n",
+       "      <th>77</th>\n",
+       "      <th>84</th>\n",
+       "      <th>91</th>\n",
+       "      <th>98</th>\n",
+       "      <th>100</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>rep</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>27427.0</td>\n",
+       "      <td>188337.0</td>\n",
+       "      <td>180729.0</td>\n",
+       "      <td>102691.0</td>\n",
+       "      <td>53796.0</td>\n",
+       "      <td>31124.0</td>\n",
+       "      <td>21247.0</td>\n",
+       "      <td>17130.0</td>\n",
+       "      <td>14852.0</td>\n",
+       "      <td>13383.0</td>\n",
+       "      <td>12180.0</td>\n",
+       "      <td>11260.0</td>\n",
+       "      <td>10662.0</td>\n",
+       "      <td>10104.0</td>\n",
+       "      <td>9843.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>27403.0</td>\n",
+       "      <td>188645.0</td>\n",
+       "      <td>180943.0</td>\n",
+       "      <td>102610.0</td>\n",
+       "      <td>53866.0</td>\n",
+       "      <td>31224.0</td>\n",
+       "      <td>21533.0</td>\n",
+       "      <td>17158.0</td>\n",
+       "      <td>14860.0</td>\n",
+       "      <td>13217.0</td>\n",
+       "      <td>12049.0</td>\n",
+       "      <td>11131.0</td>\n",
+       "      <td>10353.0</td>\n",
+       "      <td>9941.0</td>\n",
+       "      <td>9795.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>27619.0</td>\n",
+       "      <td>188407.0</td>\n",
+       "      <td>179779.0</td>\n",
+       "      <td>102748.0</td>\n",
+       "      <td>53596.0</td>\n",
+       "      <td>31171.0</td>\n",
+       "      <td>21750.0</td>\n",
+       "      <td>17144.0</td>\n",
+       "      <td>14772.0</td>\n",
+       "      <td>13377.0</td>\n",
+       "      <td>12297.0</td>\n",
+       "      <td>11457.0</td>\n",
+       "      <td>10625.0</td>\n",
+       "      <td>10087.0</td>\n",
+       "      <td>9939.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>27338.0</td>\n",
+       "      <td>187878.0</td>\n",
+       "      <td>180079.0</td>\n",
+       "      <td>102909.0</td>\n",
+       "      <td>54042.0</td>\n",
+       "      <td>30788.0</td>\n",
+       "      <td>21475.0</td>\n",
+       "      <td>17211.0</td>\n",
+       "      <td>15012.0</td>\n",
+       "      <td>13364.0</td>\n",
+       "      <td>12110.0</td>\n",
+       "      <td>11315.0</td>\n",
+       "      <td>10467.0</td>\n",
+       "      <td>10018.0</td>\n",
+       "      <td>9858.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>27082.0</td>\n",
+       "      <td>187372.0</td>\n",
+       "      <td>179954.0</td>\n",
+       "      <td>102836.0</td>\n",
+       "      <td>53594.0</td>\n",
+       "      <td>31063.0</td>\n",
+       "      <td>21607.0</td>\n",
+       "      <td>17135.0</td>\n",
+       "      <td>14907.0</td>\n",
+       "      <td>13359.0</td>\n",
+       "      <td>12237.0</td>\n",
+       "      <td>11248.0</td>\n",
+       "      <td>10600.0</td>\n",
+       "      <td>10041.0</td>\n",
+       "      <td>9836.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>27500.0</td>\n",
+       "      <td>188244.0</td>\n",
+       "      <td>180666.0</td>\n",
+       "      <td>102867.0</td>\n",
+       "      <td>53789.0</td>\n",
+       "      <td>31080.0</td>\n",
+       "      <td>21597.0</td>\n",
+       "      <td>17079.0</td>\n",
+       "      <td>14832.0</td>\n",
+       "      <td>13250.0</td>\n",
+       "      <td>12071.0</td>\n",
+       "      <td>11349.0</td>\n",
+       "      <td>10621.0</td>\n",
+       "      <td>10064.0</td>\n",
+       "      <td>9869.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>26503.0</td>\n",
+       "      <td>186859.0</td>\n",
+       "      <td>180507.0</td>\n",
+       "      <td>102774.0</td>\n",
+       "      <td>53636.0</td>\n",
+       "      <td>31187.0</td>\n",
+       "      <td>21645.0</td>\n",
+       "      <td>17362.0</td>\n",
+       "      <td>15134.0</td>\n",
+       "      <td>13241.0</td>\n",
+       "      <td>12266.0</td>\n",
+       "      <td>11229.0</td>\n",
+       "      <td>10521.0</td>\n",
+       "      <td>9996.0</td>\n",
+       "      <td>9885.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>27081.0</td>\n",
+       "      <td>188646.0</td>\n",
+       "      <td>180995.0</td>\n",
+       "      <td>103469.0</td>\n",
+       "      <td>54093.0</td>\n",
+       "      <td>31122.0</td>\n",
+       "      <td>21479.0</td>\n",
+       "      <td>17154.0</td>\n",
+       "      <td>14800.0</td>\n",
+       "      <td>13068.0</td>\n",
+       "      <td>12068.0</td>\n",
+       "      <td>11033.0</td>\n",
+       "      <td>10681.0</td>\n",
+       "      <td>10069.0</td>\n",
+       "      <td>9893.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>26958.0</td>\n",
+       "      <td>188178.0</td>\n",
+       "      <td>180935.0</td>\n",
+       "      <td>102934.0</td>\n",
+       "      <td>53984.0</td>\n",
+       "      <td>31291.0</td>\n",
+       "      <td>21553.0</td>\n",
+       "      <td>17255.0</td>\n",
+       "      <td>14865.0</td>\n",
+       "      <td>13195.0</td>\n",
+       "      <td>11994.0</td>\n",
+       "      <td>11073.0</td>\n",
+       "      <td>10435.0</td>\n",
+       "      <td>9968.0</td>\n",
+       "      <td>9798.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>27342.0</td>\n",
+       "      <td>187673.0</td>\n",
+       "      <td>180787.0</td>\n",
+       "      <td>102848.0</td>\n",
+       "      <td>53643.0</td>\n",
+       "      <td>31298.0</td>\n",
+       "      <td>21746.0</td>\n",
+       "      <td>17191.0</td>\n",
+       "      <td>14852.0</td>\n",
+       "      <td>13343.0</td>\n",
+       "      <td>12203.0</td>\n",
+       "      <td>11270.0</td>\n",
+       "      <td>10532.0</td>\n",
+       "      <td>9974.0</td>\n",
+       "      <td>9819.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "timepoint      7         14        21        28       35       42       49   \\\n",
+       "rep                                                                           \n",
+       "0          27427.0  188337.0  180729.0  102691.0  53796.0  31124.0  21247.0   \n",
+       "1          27403.0  188645.0  180943.0  102610.0  53866.0  31224.0  21533.0   \n",
+       "2          27619.0  188407.0  179779.0  102748.0  53596.0  31171.0  21750.0   \n",
+       "3          27338.0  187878.0  180079.0  102909.0  54042.0  30788.0  21475.0   \n",
+       "4          27082.0  187372.0  179954.0  102836.0  53594.0  31063.0  21607.0   \n",
+       "5          27500.0  188244.0  180666.0  102867.0  53789.0  31080.0  21597.0   \n",
+       "6          26503.0  186859.0  180507.0  102774.0  53636.0  31187.0  21645.0   \n",
+       "7          27081.0  188646.0  180995.0  103469.0  54093.0  31122.0  21479.0   \n",
+       "8          26958.0  188178.0  180935.0  102934.0  53984.0  31291.0  21553.0   \n",
+       "9          27342.0  187673.0  180787.0  102848.0  53643.0  31298.0  21746.0   \n",
+       "\n",
+       "timepoint      56       63       70       77       84       91       98   \\\n",
+       "rep                                                                        \n",
+       "0          17130.0  14852.0  13383.0  12180.0  11260.0  10662.0  10104.0   \n",
+       "1          17158.0  14860.0  13217.0  12049.0  11131.0  10353.0   9941.0   \n",
+       "2          17144.0  14772.0  13377.0  12297.0  11457.0  10625.0  10087.0   \n",
+       "3          17211.0  15012.0  13364.0  12110.0  11315.0  10467.0  10018.0   \n",
+       "4          17135.0  14907.0  13359.0  12237.0  11248.0  10600.0  10041.0   \n",
+       "5          17079.0  14832.0  13250.0  12071.0  11349.0  10621.0  10064.0   \n",
+       "6          17362.0  15134.0  13241.0  12266.0  11229.0  10521.0   9996.0   \n",
+       "7          17154.0  14800.0  13068.0  12068.0  11033.0  10681.0  10069.0   \n",
+       "8          17255.0  14865.0  13195.0  11994.0  11073.0  10435.0   9968.0   \n",
+       "9          17191.0  14852.0  13343.0  12203.0  11270.0  10532.0   9974.0   \n",
+       "\n",
+       "timepoint     100  \n",
+       "rep                \n",
+       "0          9843.0  \n",
+       "1          9795.0  \n",
+       "2          9939.0  \n",
+       "3          9858.0  \n",
+       "4          9836.0  \n",
+       "5          9869.0  \n",
+       "6          9885.0  \n",
+       "7          9893.0  \n",
+       "8          9798.0  \n",
+       "9          9819.0  "
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Build dataframe of \"HR\" state based on experiment run above (simulated 100 days, state saved every 7 days).\n",
+    "# See `get_state_var_df()` docstring for details. \n",
+    "# Because we do not specify `subpop_name`, `age_group`, or `risk_group`, \n",
+    "#     compartment values are summed across subpopulations, ages, and risk groups.\n",
+    "experiment.get_state_var_df(state_var_name = \"HR\",\n",
+    "                            results_filename = \"flu_demo_aggregated_H_results.csv\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "be9ff15a-add1-4975-b1c5-b8345932b9df",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-01-22T19:10:50.905927Z",
+     "iopub.status.busy": "2026-01-22T19:10:50.905816Z",
+     "iopub.status.idle": "2026-01-22T19:10:50.910416Z",
+     "shell.execute_reply": "2026-01-22T19:10:50.910166Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "# Delete temporary demo files\n",
+    "do_delete_demo_files = True\n",
+    "if do_delete_demo_files:\n",
+    "    temp_files = [\"flu_demo_H_D_results.csv\",\n",
+    "                  \"flu_demo_H_D_results.db\",\n",
+    "                  \"flu_demo_aggregated_H_results.csv\"]\n",
+    "    \n",
+    "    for file in temp_files:\n",
+    "        Path(file).unlink()\n",
+    "        "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "bbd3a58d",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/flu_instances/texas_input_files/simulation_settings.json b/flu_instances/texas_input_files/simulation_settings.json
index 385d0e9..d1a6019 100644
--- a/flu_instances/texas_input_files/simulation_settings.json
+++ b/flu_instances/texas_input_files/simulation_settings.json
@@ -1,8 +1,8 @@
 {
 	"timesteps_per_day":7,
-	"transition_type":"binom_deterministic",
+	"transition_type":"binom",
 	"use_deterministic_softplus": false,
 	"start_real_date": "2022-08-08",
 	"save_daily_history": true,
 	"transition_variables_to_save": []
-}
\ No newline at end of file
+}