diff --git a/data/metrics/events/master/all.csv b/data/metrics/events/master/all.csv
index 1b0cf950..ec35ab79 100644
--- a/data/metrics/events/master/all.csv
+++ b/data/metrics/events/master/all.csv
@@ -1084,3 +1084,4 @@ actual_audience_size_number_of_participants_in_person,actual_audience_size_numbe
,,1999,2023-09-29,rehearsal - Dance Students Leeds Beckett ,,02 - Making A Stand: rehearsal - Dance Students Leeds Beckett ,,,02 - Making A Stand,Produce (Signature),,2023-09-29,
,,1355,2023-09-30,MOON PALACE Daytime Observation Session at White Rose Shopping Centre ,['Public Event - Installation'],09 - Smeaton300: Moon Palace East Leeds Observatory: MOON PALACE Daytime Observation Session at White Rose Shopping Centre ,,['LS11 8LU'],09 - Smeaton300: Moon Palace East Leeds Observatory,Produce (Signature),['Season 2 - Playing'],2023-09-30,['Morley North']
,,626,2023-09-30,Smeaton 300: STEAM Conference ,['CLE - Creative Learning session'],09 - Smeaton300: Learning programme: Smeaton 300: STEAM Conference ,,['LS17 8GS'],09 - Smeaton300: Learning programme,CLE,['Season 3 - Dreaming'],2023-09-30,['Alwoodley']
+,,414,2023-10-31,East Street Arts: R,['Partner Programme - Event'],"East Street Arts, A City Less Grey 2023 - Add Fuel: East Street Arts: R",,,"East Street Arts, A City Less Grey 2023 - Add Fuel",Partner,['Season 3 - Dreaming'],2023-10-01,
diff --git a/data/metrics/events/partner-events/events.csv b/data/metrics/events/partner-events/events.csv
index bd565f72..b763df42 100644
--- a/data/metrics/events/partner-events/events.csv
+++ b/data/metrics/events/partner-events/events.csv
@@ -175,3 +175,4 @@ School of Night Celebrate the 400th Anniversary of Shakespeare's Folio,2023-09-2
Age of theVisions in the Map,2023-09-23,2023-09-23,E05011399
Brightside,2023-09-28,2023-09-30,E05011403
Katrina Cowling: Near to the Wild Heart,2023-09-28,2023-12-16,E05011403
+Neville Street Artwork,2023-10-01,,
diff --git a/data/metrics/events/tickets/orders.csv b/data/metrics/events/tickets/orders.csv
index 319b600a..fc857f52 100644
--- a/data/metrics/events/tickets/orders.csv
+++ b/data/metrics/events/tickets/orders.csv
@@ -4708,3 +4708,6 @@ created_at,event_id,event_date,number_of_tickets,ward_code
2023-09-30 20:07:45,ev_3027783,2023-12-22,2,E05001365
2023-09-30 20:15:45,ev_2994140,2023-12-30,3,E05008559
2023-09-30 20:50:48,ev_3013871,2023-10-18,3,E05011388
+2023-10-01 12:45:45,ev_2994147,2023-12-27,2,E05011389
+2023-10-01 14:58:16,ev_2994140,2023-12-30,5,S13002888
+2023-10-01 16:06:59,ev_2994134,2023-12-28,3,E05011397
diff --git a/data/metrics/schools/schools_events.csv b/data/metrics/schools/schools_events.csv
index 5a7bc44f..5fe8c527 100644
--- a/data/metrics/schools/schools_events.csv
+++ b/data/metrics/schools/schools_events.csv
@@ -283,3 +283,4 @@ date,event_name,project_type,project_name,venue_wards,venue_postcodes,schools,wa
2023-09-23,Burberry Careers Roadshow,CLE,Creative Learning S3,,,['Abbey Grange Church of England Academy'],['Kirkstall'],['LS16 5EA'],0.0,0.0,0.0,1
2023-09-23,Burberry Careers Roadshow,CLE,Creative Learning S3,,,['Leeds Jewish Free School'],['Moortown '],,0.0,0.0,0.0,1
2023-09-26,Leeds Language Week: Programme Launch,CLE,Creative Learning S3,,,,,,0.0,0.0,0.0,0
+2023-09-30,Smeaton 300: STEAM Conference ,CLE,09 - Smeaton300: Learning programme,['Alwoodley'],['LS17 8GS'],,,,0.0,-70.0,70.0,0
diff --git a/docs/dashboard/community/_data/events.csv b/docs/dashboard/community/_data/events.csv
index 1314f542..c9d33314 100644
--- a/docs/dashboard/community/_data/events.csv
+++ b/docs/dashboard/community/_data/events.csv
@@ -23,7 +23,7 @@ E05011402,1,0,1,1,2,1,0,1,Kirkstall,7
E05011403,3,1,1,69,0,45,0,1,Little London and Woodhouse,120
E05011404,0,0,1,0,1,1,0,1,Middleton Park,4
E05011405,0,0,1,0,1,1,0,1,Moortown,4
-E05011406,0,0,1,0,1,1,0,1,Morley North,4
+E05011406,0,0,1,0,1,2,0,1,Morley North,5
E05011407,0,0,1,0,1,1,0,1,Morley South,4
E05011549,0,1,3,0,1,3,0,1,Otley and Yeadon,9
E05011409,0,0,2,0,1,2,0,1,Pudsey,6
diff --git a/docs/dashboard/community/_data/events_with_schools.csv b/docs/dashboard/community/_data/events_with_schools.csv
index 5b25d196..edc790a4 100644
--- a/docs/dashboard/community/_data/events_with_schools.csv
+++ b/docs/dashboard/community/_data/events_with_schools.csv
@@ -23,7 +23,7 @@ E05011402,1,0,1,1,2,3,1,0,1,10,Kirkstall
E05011403,3,1,1,69,0,15,45,0,1,135,Little London and Woodhouse
E05011404,0,0,1,0,1,14,1,0,1,18,Middleton Park
E05011405,0,0,1,0,1,23,1,0,1,27,Moortown
-E05011406,0,0,1,0,1,1,1,0,1,5,Morley North
+E05011406,0,0,1,0,1,1,2,0,1,6,Morley North
E05011407,0,0,1,0,1,3,1,0,1,7,Morley South
E05011549,0,1,3,0,1,6,3,0,1,15,Otley and Yeadon
E05011409,0,0,2,0,1,7,2,0,1,13,Pudsey
diff --git a/docs/metrics/events/partner/_data/by_month.csv b/docs/metrics/events/partner/_data/by_month.csv
index ac642157..fcbe36ab 100644
--- a/docs/metrics/events/partner/_data/by_month.csv
+++ b/docs/metrics/events/partner/_data/by_month.csv
@@ -12,3 +12,4 @@ start_date,events,cumulative_events
2023-07-31,40,126
2023-08-31,23,149
2023-09-30,27,176
+2023-10-31,1,177
diff --git a/docs/metrics/events/partner/_data/by_ward.csv b/docs/metrics/events/partner/_data/by_ward.csv
index 521c1ec6..3186745e 100644
--- a/docs/metrics/events/partner/_data/by_ward.csv
+++ b/docs/metrics/events/partner/_data/by_ward.csv
@@ -12,4 +12,4 @@ E05011403,69
E05011413,2
E05011547,2
E05012647,10
-UNKNOWN,64
+UNKNOWN,65
diff --git a/docs/metrics/events/partner/_data/headline.json b/docs/metrics/events/partner/_data/headline.json
index 2cff56ad..580a45dd 100644
--- a/docs/metrics/events/partner/_data/headline.json
+++ b/docs/metrics/events/partner/_data/headline.json
@@ -1,4 +1,4 @@
{
- "latest_month":"2023-09-30T00:00:00.000",
- "total_events":176
+ "latest_month":"2023-10-31T00:00:00.000",
+ "total_events":177
}
\ No newline at end of file
diff --git a/docs/metrics/schools/_data/engagements_by_week.csv b/docs/metrics/schools/_data/engagements_by_week.csv
index 237aec76..083edef5 100644
--- a/docs/metrics/schools/_data/engagements_by_week.csv
+++ b/docs/metrics/schools/_data/engagements_by_week.csv
@@ -53,3 +53,4 @@ date,pupil_engagements,cumulative_pupil_engagements,school_engagements,cumulativ
2023-09-15,65,18855,2,253
2023-09-22,0,18855,4,257
2023-09-29,0,18855,4,261
+2023-10-06,-70,18785,0,261
diff --git a/docs/metrics/schools/_data/headlines.json b/docs/metrics/schools/_data/headlines.json
index 429207ff..821c0c24 100644
--- a/docs/metrics/schools/_data/headlines.json
+++ b/docs/metrics/schools/_data/headlines.json
@@ -1,12 +1,12 @@
{
- "date_built":"2023-09-28",
+ "date_built":"2023-10-01",
"earliest_date":"2022-09-22",
- "engagements_with_pupils_not_assigned_to_ward":907,
+ "engagements_with_pupils_not_assigned_to_ward":837,
"engagements_with_schools_not_assigned_to_ward":17,
"percentage_of_leeds_schools_engaged":37.9,
"schools_in_leeds":338,
"schools_not_assigned_to_ward":26,
- "total_pupil_engagements":18855,
+ "total_pupil_engagements":18785,
"total_school_engagements":261,
"unique_schools":128
}
\ No newline at end of file
diff --git a/scripts/dashboard/community/dvc.lock b/scripts/dashboard/community/dvc.lock
index 86e7a1c1..3fe0610d 100644
--- a/scripts/dashboard/community/dvc.lock
+++ b/scripts/dashboard/community/dvc.lock
@@ -17,7 +17,7 @@ stages:
size: 619
- path: docs/metrics/events/partner/_data/by_ward.csv
hash: md5
- md5: f7880bd94dc85090b622c0762b029263
+ md5: fcba186cf59090413d4b9d6d4743b525
size: 186
- path: docs/metrics/events/the-barn/_data/events/by_ward.csv
hash: md5
@@ -34,11 +34,11 @@ stages:
outs:
- path: docs/dashboard/community/_data/events.csv
hash: md5
- md5: cf5f4c4a9a260b25b11968e8ee43c927
+ md5: 7937a811f647be386ba2ca060c65f468
size: 1612
- path: docs/dashboard/community/_data/events_with_schools.csv
hash: md5
- md5: 779a85c322e23bf94fb149623200ab4a
+ md5: bf5a8b6e5e38406197c4665af9a271e8
size: 1726
prepare_residents:
cmd: PYTHONPATH=scripts/ python3 scripts/dashboard/community/residents.py
diff --git a/scripts/metrics/community/dvc.lock b/scripts/metrics/community/dvc.lock
index a6071737..7d0b386b 100644
--- a/scripts/metrics/community/dvc.lock
+++ b/scripts/metrics/community/dvc.lock
@@ -10,14 +10,14 @@ stages:
outs:
- path: ../../../working/metrics/community/events.csv
hash: md5
- md5: 9ceddca7fb3cbe32806de44479580045
+ md5: 5f35d41e1f3447d11995947e7bb3477a
size: 268602
transform:
cmd: papermill transform.ipynb ../../../working/output/community-transform.ipynb
deps:
- path: ../../../working/metrics/community/events.csv
hash: md5
- md5: 9ceddca7fb3cbe32806de44479580045
+ md5: 5f35d41e1f3447d11995947e7bb3477a
size: 268602
- path: transform.ipynb
hash: md5
diff --git a/scripts/metrics/events/scheduled/dvc.lock b/scripts/metrics/events/scheduled/dvc.lock
index 1d9982cb..c81dcfc0 100644
--- a/scripts/metrics/events/scheduled/dvc.lock
+++ b/scripts/metrics/events/scheduled/dvc.lock
@@ -35,8 +35,8 @@ stages:
outs:
- path: data/metrics/events/master/all.csv
hash: md5
- md5: 5d5ae184f4bac64bd4f228b2da617387
- size: 260384
+ md5: 37edf5c72b7837329357ca7ea3d5d0fe
+ size: 260624
prepare:
cmd: PYTHONPATH=. python3 scripts/metrics/events/scheduled/prepare.py
deps:
diff --git a/scripts/metrics/events/signature/dvc.lock b/scripts/metrics/events/signature/dvc.lock
index 521df11b..ceea2a7e 100644
--- a/scripts/metrics/events/signature/dvc.lock
+++ b/scripts/metrics/events/signature/dvc.lock
@@ -5,8 +5,8 @@ stages:
deps:
- path: ../../../../data/metrics/events/master/all.csv
hash: md5
- md5: 5d5ae184f4bac64bd4f228b2da617387
- size: 260384
+ md5: 37edf5c72b7837329357ca7ea3d5d0fe
+ size: 260624
- path: ../../../../lib/util/
hash: md5
md5: 1716a8255a4563e6111e07666ced83f0.dir
@@ -42,8 +42,8 @@ stages:
deps:
- path: ../../../../data/metrics/events/master/all.csv
hash: md5
- md5: 5d5ae184f4bac64bd4f228b2da617387
- size: 260384
+ md5: 37edf5c72b7837329357ca7ea3d5d0fe
+ size: 260624
- path: ../../../../lib/util/
hash: md5
md5: 1716a8255a4563e6111e07666ced83f0.dir
@@ -79,12 +79,12 @@ stages:
deps:
- path: ../../../../data/metrics/events/master/all.csv
hash: md5
- md5: 5d5ae184f4bac64bd4f228b2da617387
- size: 260384
+ md5: 37edf5c72b7837329357ca7ea3d5d0fe
+ size: 260624
- path: ../../../../data/metrics/events/tickets/orders.csv
hash: md5
- md5: f21a2673021b57548abb24d5e38236d4
- size: 253504
+ md5: 4f10734fe36fc84dc8807a5e6024a6c2
+ size: 253666
- path: events.py
hash: md5
md5: 9dd0dc11d1e4dfe48c694440b19c6825
diff --git a/scripts/metrics/events/ticketing/dvc.lock b/scripts/metrics/events/ticketing/dvc.lock
index 425450a4..6cdde0a9 100644
--- a/scripts/metrics/events/ticketing/dvc.lock
+++ b/scripts/metrics/events/ticketing/dvc.lock
@@ -18,15 +18,15 @@ stages:
outs:
- path: ../../../../working/metrics/ticketing/orders.csv
hash: md5
- md5: 4128d300f609bba273cbef9fef206d5e
- size: 557942
+ md5: 9e9d9335ce42ef0630c40115047a81d6
+ size: 558251
transform:
cmd: papermill tickets.ipynb ../../../../working/output/tickets-transform.ipynb
deps:
- path: ../../../../working/metrics/ticketing/orders.csv
hash: md5
- md5: 4128d300f609bba273cbef9fef206d5e
- size: 557942
+ md5: 9e9d9335ce42ef0630c40115047a81d6
+ size: 558251
- path: pipes.py
hash: md5
md5: 564a48f276d11d6a64b72b71f5e50c66
@@ -38,5 +38,5 @@ stages:
outs:
- path: ../../../../data/metrics/events/tickets/orders.csv
hash: md5
- md5: f21a2673021b57548abb24d5e38236d4
- size: 253504
+ md5: 4f10734fe36fc84dc8807a5e6024a6c2
+ size: 253666
diff --git a/scripts/metrics/partner-events/dvc.lock b/scripts/metrics/partner-events/dvc.lock
index 90f4a069..7f4a06f5 100644
--- a/scripts/metrics/partner-events/dvc.lock
+++ b/scripts/metrics/partner-events/dvc.lock
@@ -10,8 +10,8 @@ stages:
outs:
- path: working/metrics/partner-events/
hash: md5
- md5: 158d45b0d8d115a5a33c532bdc1f5121.dir
- size: 52712
+ md5: 3ff3322080c1bb72a66268f028616b10.dir
+ size: 52937
nfiles: 1
transform:
cmd: papermill transform.ipynb ../../../working/output/partner-events-transform.ipynb
@@ -22,8 +22,8 @@ stages:
size: 1614
- path: ../../../working/metrics/partner-events/
hash: md5
- md5: 158d45b0d8d115a5a33c532bdc1f5121.dir
- size: 52712
+ md5: 3ff3322080c1bb72a66268f028616b10.dir
+ size: 52937
nfiles: 1
- path: transform.ipynb
hash: md5
@@ -32,15 +32,15 @@ stages:
outs:
- path: ../../../data/metrics/events/partner-events/events.csv
hash: md5
- md5: 86809f5603b9894ea92bfbc6bb9c5559
- size: 11324
+ md5: c5bd1f354121714a81dd816bd85c1af0
+ size: 11360
prepare:
cmd: PYTHONPATH=. python3 scripts/metrics/partner-events/prepare.py
deps:
- path: data/metrics/events/partner-events/events.csv
hash: md5
- md5: 86809f5603b9894ea92bfbc6bb9c5559
- size: 11324
+ md5: c5bd1f354121714a81dd816bd85c1af0
+ size: 11360
- path: scripts/metrics/partner-events/prepare.py
hash: md5
md5: a08bf989636b2661243db829be932bc1
@@ -48,13 +48,13 @@ stages:
outs:
- path: docs/metrics/events/partner/_data/by_month.csv
hash: md5
- md5: 83a37a1ce69ca0e51493400f272497f4
- size: 248
+ md5: 5813d80cfc330b3816192081d4fd8622
+ size: 265
- path: docs/metrics/events/partner/_data/by_ward.csv
hash: md5
- md5: f7880bd94dc85090b622c0762b029263
+ md5: fcba186cf59090413d4b9d6d4743b525
size: 186
- path: docs/metrics/events/partner/_data/headline.json
hash: md5
- md5: 3fa4b86fac94548da07495ead9701adc
+ md5: 62ef0ad0c2c248b05c4a8d7c0c8d543e
size: 68
diff --git a/scripts/metrics/schools/dvc.lock b/scripts/metrics/schools/dvc.lock
index 15631693..fe06e2e9 100644
--- a/scripts/metrics/schools/dvc.lock
+++ b/scripts/metrics/schools/dvc.lock
@@ -14,8 +14,8 @@ stages:
outs:
- path: data/metrics/schools/schools_events.csv
hash: md5
- md5: fadfe232e13ec0e596cfce088d4d54ae
- size: 48657
+ md5: a74c431fa87e8108994b530676080200
+ size: 48786
extract:
cmd: PYTHONPATH=scripts/ python scripts/metrics/schools/extract.py
deps:
@@ -33,8 +33,8 @@ stages:
deps:
- path: data/metrics/schools/schools_events.csv
hash: md5
- md5: fadfe232e13ec0e596cfce088d4d54ae
- size: 48657
+ md5: a74c431fa87e8108994b530676080200
+ size: 48786
- path: data/reference/leeds_wards.csv
hash: md5
md5: 887a42d46d34c9e966211a79f2b8a672
@@ -54,11 +54,11 @@ stages:
size: 1520
- path: docs/metrics/schools/_data/engagements_by_week.csv
hash: md5
- md5: ab1b55f6d0a87ec663023109b899a9fd
- size: 1457
+ md5: ec17c115ba5474ce66126daab3f906ee
+ size: 1484
- path: docs/metrics/schools/_data/headlines.json
hash: md5
- md5: 8f439efff061e437629d620c6936f5fe
+ md5: bb4b3f6b40a19731f74b70d0811d1838
size: 373
- path: docs/metrics/schools/_data/school_engagement_counts.csv
hash: md5
diff --git a/working/output/community-transform.ipynb b/working/output/community-transform.ipynb
index b649691c..11531b90 100644
--- a/working/output/community-transform.ipynb
+++ b/working/output/community-transform.ipynb
@@ -3,19 +3,19 @@
{
"cell_type": "code",
"execution_count": 1,
- "id": "7a01dd5b",
+ "id": "671e3397",
"metadata": {
"execution": {
- "iopub.execute_input": "2023-09-30T23:39:14.730724Z",
- "iopub.status.busy": "2023-09-30T23:39:14.730363Z",
- "iopub.status.idle": "2023-09-30T23:39:14.738351Z",
- "shell.execute_reply": "2023-09-30T23:39:14.737722Z"
+ "iopub.execute_input": "2023-10-01T23:40:01.256969Z",
+ "iopub.status.busy": "2023-10-01T23:40:01.256301Z",
+ "iopub.status.idle": "2023-10-01T23:40:01.264477Z",
+ "shell.execute_reply": "2023-10-01T23:40:01.263800Z"
},
"papermill": {
- "duration": 0.01612,
- "end_time": "2023-09-30T23:39:14.741659",
+ "duration": 0.014589,
+ "end_time": "2023-10-01T23:40:01.266149",
"exception": false,
- "start_time": "2023-09-30T23:39:14.725539",
+ "start_time": "2023-10-01T23:40:01.251560",
"status": "completed"
},
"tags": []
@@ -32,19 +32,19 @@
{
"cell_type": "code",
"execution_count": 2,
- "id": "ae5dc811",
+ "id": "88bdb084",
"metadata": {
"execution": {
- "iopub.execute_input": "2023-09-30T23:39:14.747751Z",
- "iopub.status.busy": "2023-09-30T23:39:14.747338Z",
- "iopub.status.idle": "2023-09-30T23:39:25.230037Z",
- "shell.execute_reply": "2023-09-30T23:39:25.229289Z"
+ "iopub.execute_input": "2023-10-01T23:40:01.272058Z",
+ "iopub.status.busy": "2023-10-01T23:40:01.271835Z",
+ "iopub.status.idle": "2023-10-01T23:40:11.927616Z",
+ "shell.execute_reply": "2023-10-01T23:40:11.926846Z"
},
"papermill": {
- "duration": 10.487903,
- "end_time": "2023-09-30T23:39:25.231979",
+ "duration": 10.66134,
+ "end_time": "2023-10-01T23:40:11.929916",
"exception": false,
- "start_time": "2023-09-30T23:39:14.744076",
+ "start_time": "2023-10-01T23:40:01.268576",
"status": "completed"
},
"tags": []
@@ -60,19 +60,19 @@
{
"cell_type": "code",
"execution_count": 3,
- "id": "a388ac75",
+ "id": "49abb1f7",
"metadata": {
"execution": {
- "iopub.execute_input": "2023-09-30T23:39:25.238426Z",
- "iopub.status.busy": "2023-09-30T23:39:25.237815Z",
- "iopub.status.idle": "2023-09-30T23:39:25.261690Z",
- "shell.execute_reply": "2023-09-30T23:39:25.260896Z"
+ "iopub.execute_input": "2023-10-01T23:40:11.936990Z",
+ "iopub.status.busy": "2023-10-01T23:40:11.936368Z",
+ "iopub.status.idle": "2023-10-01T23:40:11.962582Z",
+ "shell.execute_reply": "2023-10-01T23:40:11.961889Z"
},
"papermill": {
- "duration": 0.028757,
- "end_time": "2023-09-30T23:39:25.263251",
+ "duration": 0.031696,
+ "end_time": "2023-10-01T23:40:11.964464",
"exception": false,
- "start_time": "2023-09-30T23:39:25.234494",
+ "start_time": "2023-10-01T23:40:11.932768",
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diff --git a/working/output/my-leeds-2023.ipynb b/working/output/my-leeds-2023.ipynb
index 0e785ff9..a6636763 100644
--- a/working/output/my-leeds-2023.ipynb
+++ b/working/output/my-leeds-2023.ipynb
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@@ -425,19 +425,19 @@
{
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- "id": "04fdb30f",
+ "id": "e9e01328",
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@@ -476,13 +476,13 @@
{
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"tags": []
@@ -511,14 +511,14 @@
},
"papermill": {
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+ "duration": 16.678661,
+ "end_time": "2023-10-01T23:37:15.315019",
"environment_variables": {},
"exception": null,
"input_path": "my-leeds-2023.ipynb",
"output_path": "../../../../working/output/my-leeds-2023.ipynb",
"parameters": {},
- "start_time": "2023-09-30T23:36:26.086954",
+ "start_time": "2023-10-01T23:36:58.636358",
"version": "2.4.0"
}
},
diff --git a/working/output/partner-events-transform.ipynb b/working/output/partner-events-transform.ipynb
index 129abaa7..31c0ea27 100644
--- a/working/output/partner-events-transform.ipynb
+++ b/working/output/partner-events-transform.ipynb
@@ -3,19 +3,19 @@
{
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- "id": "6d95433f",
+ "id": "3e68b5b0",
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+ "iopub.execute_input": "2023-10-01T23:37:37.019953Z",
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@@ -32,19 +32,19 @@
{
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"tags": []
@@ -57,19 +57,19 @@
{
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- "id": "838c13ac",
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- "shell.execute_reply": "2023-09-30T23:37:12.609111Z"
+ "iopub.execute_input": "2023-10-01T23:37:47.599700Z",
+ "iopub.status.busy": "2023-10-01T23:37:47.599072Z",
+ "iopub.status.idle": "2023-10-01T23:37:47.603344Z",
+ "shell.execute_reply": "2023-10-01T23:37:47.602732Z"
},
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- "start_time": "2023-09-30T23:37:12.600411",
+ "start_time": "2023-10-01T23:37:47.595093",
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"tags": []
@@ -84,19 +84,19 @@
{
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- "id": "0cb5a5fb",
+ "id": "c0a0ff24",
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- "shell.execute_reply": "2023-09-30T23:37:12.622557Z"
+ "iopub.execute_input": "2023-10-01T23:37:47.611578Z",
+ "iopub.status.busy": "2023-10-01T23:37:47.611029Z",
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+ "shell.execute_reply": "2023-10-01T23:37:47.615223Z"
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},
"tags": []
@@ -119,13 +119,13 @@
},
{
"cell_type": "markdown",
- "id": "3ff93961",
+ "id": "29c97dd6",
"metadata": {
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@@ -137,19 +137,19 @@
{
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- "id": "fd747b67",
+ "id": "629a354c",
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+ "iopub.execute_input": "2023-10-01T23:37:47.629552Z",
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+ "shell.execute_reply": "2023-10-01T23:37:47.641721Z"
},
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"exception": false,
- "start_time": "2023-09-30T23:37:12.633674",
+ "start_time": "2023-10-01T23:37:47.625345",
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@@ -163,13 +163,13 @@
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{
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+ "id": "379dae72",
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+ "start_time": "2023-10-01T23:37:47.646601",
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"tags": []
@@ -181,19 +181,19 @@
{
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- "id": "775c2a0d",
+ "id": "5e7655d4",
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- "shell.execute_reply": "2023-09-30T23:37:12.671254Z"
+ "iopub.execute_input": "2023-10-01T23:37:47.656050Z",
+ "iopub.status.busy": "2023-10-01T23:37:47.655622Z",
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"tags": []
@@ -210,19 +210,19 @@
{
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- "id": "eee4013f",
+ "id": "950f346c",
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- "shell.execute_reply": "2023-09-30T23:37:13.944622Z"
+ "iopub.execute_input": "2023-10-01T23:37:47.670001Z",
+ "iopub.status.busy": "2023-10-01T23:37:47.669581Z",
+ "iopub.status.idle": "2023-10-01T23:37:48.856624Z",
+ "shell.execute_reply": "2023-10-01T23:37:48.855878Z"
},
"papermill": {
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+ "duration": 1.192609,
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"exception": false,
- "start_time": "2023-09-30T23:37:12.676787",
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@@ -235,13 +235,13 @@
},
{
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- "id": "47d4fac9",
+ "id": "94e386db",
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+ "start_time": "2023-10-01T23:37:48.862681",
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"tags": []
@@ -253,19 +253,19 @@
{
"cell_type": "code",
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- "id": "c38d77ef",
+ "id": "def52d32",
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- "shell.execute_reply": "2023-09-30T23:37:13.969899Z"
+ "iopub.execute_input": "2023-10-01T23:37:48.873760Z",
+ "iopub.status.busy": "2023-10-01T23:37:48.873131Z",
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+ "shell.execute_reply": "2023-10-01T23:37:48.879402Z"
},
"papermill": {
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- "start_time": "2023-09-30T23:37:13.957758",
+ "start_time": "2023-10-01T23:37:48.869375",
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"tags": []
@@ -279,13 +279,13 @@
},
{
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+ "id": "c5a0f9a8",
"metadata": {
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+ "duration": 0.002776,
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+ "start_time": "2023-10-01T23:37:48.884451",
"status": "completed"
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"tags": []
@@ -297,19 +297,19 @@
{
"cell_type": "code",
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- "id": "fccdc5b2",
+ "id": "ea023f37",
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- "shell.execute_reply": "2023-09-30T23:37:14.004214Z"
+ "iopub.execute_input": "2023-10-01T23:37:48.894366Z",
+ "iopub.status.busy": "2023-10-01T23:37:48.893772Z",
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+ "shell.execute_reply": "2023-10-01T23:37:48.906886Z"
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+ "start_time": "2023-10-01T23:37:48.890082",
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},
"tags": []
@@ -372,11 +372,6 @@
"
... | \n",
" \n",
" \n",
- " 184 | \n",
- " Leeds Language Week: MODERN FOREIGN LANGUAGES ... | \n",
- " 2023-09-11 | \n",
- "
\n",
- " \n",
" 186 | \n",
" The Ida Network: Leeds meet-up | \n",
" 2023-09-11 | \n",
@@ -396,9 +391,14 @@
" On Wednesdays We Wear Queer: Drag Night Extrav... | \n",
" 2023-09-20 | \n",
"
\n",
+ " \n",
+ " 205 | \n",
+ " Neville Street Artwork | \n",
+ " 2023-10-01 | \n",
+ "
\n",
" \n",
"\n",
- "62 rows × 2 columns
\n",
+ "63 rows × 2 columns
\n",
""
],
"text/plain": [
@@ -409,13 +409,13 @@
"5 Embassy of Netherlands, Meet Leeds Lab 2023-01-16\n",
"6 Shifting Borders: A Journey to the Centre of o... 2023-01-24\n",
".. ... ...\n",
- "184 Leeds Language Week: MODERN FOREIGN LANGUAGES ... 2023-09-11\n",
"186 The Ida Network: Leeds meet-up 2023-09-11\n",
"191 Civic Skateboarding 2023-09-16\n",
"195 Jazz at HEART: Sam Newbould Quintet (UK tour) 2023-09-20\n",
"196 On Wednesdays We Wear Queer: Drag Night Extrav... 2023-09-20\n",
+ "205 Neville Street Artwork 2023-10-01\n",
"\n",
- "[62 rows x 2 columns]"
+ "[63 rows x 2 columns]"
]
},
"execution_count": 9,
@@ -431,13 +431,13 @@
},
{
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- "id": "822412bd",
+ "id": "79135ba0",
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+ "start_time": "2023-10-01T23:37:48.912144",
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},
"tags": []
@@ -449,19 +449,19 @@
{
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- "id": "299b95c3",
+ "id": "12c705c7",
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- "shell.execute_reply": "2023-09-30T23:37:14.573308Z"
+ "iopub.execute_input": "2023-10-01T23:37:48.922660Z",
+ "iopub.status.busy": "2023-10-01T23:37:48.922227Z",
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+ "shell.execute_reply": "2023-10-01T23:37:49.457918Z"
},
"papermill": {
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- "end_time": "2023-09-30T23:37:14.575642",
+ "duration": 0.541937,
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- "start_time": "2023-09-30T23:37:14.017501",
+ "start_time": "2023-10-01T23:37:48.918370",
"status": "completed"
},
"tags": []
@@ -469,7 +469,7 @@
"outputs": [
{
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",
+ "image/png": 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fffaZAgMDtWTJEj399NO5Gue/mj17tipUqKApU6ZIkipXrqx9+/Zp4sSJ1jbR0dHq3r279fMICQnR9OnT1bx5c82ePVvJycn64osvtGbNGoWHh0uSypcvf9s+p02bpoiICOs/SCpVqqSffvpJK1eutLYZM2aMXn/9dfXq1ct6vbffflsjRozQW2+9leOaGRkZNv8ASE9Pz9N4AAAAc7D7TOzSpUvl5eUlNzc3tW3bVl27dlVUVJQkae3atWrdurXKlCmjIkWKqEePHrpw4YKuXLkiSWrYsKGqVaumefPmSboxc1m2bFk1a9bstv01b95cGzdulGEY+vHHH9W5c2eFhoZq06ZNiouLU0BAgEJCQqztPTw8rAFWkjUs33T27Fm9+OKLCgkJkY+Pj7y9vXXp0iUlJyff0zi4ubmpR48e+uSTTyRJu3btUmJionr37i1JSkpKkpOTkxo1amQ9p3jx4qpcubKSkpLuqa8/S0pKsrmmJIWFhdls79mzR7GxsfLy8rK+2rRpo+zsbB0/flwJCQlydHS0Cf/50efYsWNt+nzxxRd1+vRp6+f/Z9HR0fLx8bG+AgMDc1ULAAAwJ7vPxLZs2VKzZ8+Wi4uLAgIC5OR0o6QTJ06offv26t+/v9555x0VK1ZMmzZtUp8+fXTt2jV5eHhIujEb+/777+v1119XTEyMnn/+eVksltv216JFC33yySfas2ePnJ2dVaVKFbVo0UIbN27U77//niOIOTs722xbLBYZhmHd7tWrly5cuKBp06apbNmycnV1VVhYmHVJxL3o27evateurf/973+KiYlRq1atVLZs2Vyf7+DgYFObpPtaanDTpUuX9K9//UuDBg3KcSwoKEhHjhy57z5u1eeYMWPUuXPnHMfc3Nxy7Bs5cqSGDRtm3U5PTyfIAgBQiNk9xHp6eqpixYo59u/cuVPZ2dmaMmWKHBxuTBh/8cUXOdo999xzGjFihKZPn64DBw5Yf/18OzfXxb777rvWwNqiRQtNmDBBv//+u1555ZV7qn/z5s2aNWuWHn/8cUk31pieP3/epo2zs7P1ZrI7qVGjhurXr6+5c+fq888/18yZM63HQkNDdf36dcXHx1uXE1y4cEEHDx5U1apVJUl+fn46c+aMDMOwBvmEhIQ79hkaGmq9ke6mrVu32mzXrVtXBw4cuOXndLPu7OxsxcXFWZcT3K3P+Pj4u/Z58ODB2/b5V66urnJ1dc1VWwAAYH52X05wOxUrVlRmZqZmzJihY8eOacGCBZozZ06OdkWLFlXnzp316quv6rHHHtNDDz10x+sWLVpUNWvW1GeffWa9gatZs2batWuXDh06lOtfid8UEhKiBQsWKCkpSfHx8erevbvc3d1t2pQrV07r1q3TmTNn9Pvvv9/xen379tWECRNkGIaeeOIJm346duyoF198UZs2bdKePXv03HPPqUyZMurYsaOkG2H83LlzmjRpko4ePar3339fK1asuGN/L730kg4fPqxXX31VBw8e1Oeff67Y2FibNq+99pp++ukn641Yhw8f1rfffmu9satcuXLq1auXXnjhBS1ZskTHjx/Xxo0bb/mPDkkaNGiQVq5cqcmTJ+vw4cOaOXOmzXpYSRo9erTmz5+vMWPGaP/+/UpKStKiRYv05ptv3vH9AACAf4a/bYitVauWpk6dqokTJ6p69er67LPPFB0dfcu2N5cYvPDCC7m6dvPmzZWVlWUNscWKFVPVqlXl7++vypUr31OdH3/8sX7//XfVrVtXPXr00KBBg1SyZEmbNlOmTNGaNWsUGBioOnXq3PF63bp1k5OTk7p165bj1+YxMTGqV6+e2rdvr7CwMBmGoeXLl1uXPISGhmrWrFl6//33VatWLW3bts3mSQq3EhQUpK+//lpLlixRrVq1NGfOHI0fP96mTc2aNRUXF6dDhw6padOmqlOnjkaPHq2AgABrm9mzZ+upp57SgAEDVKVKFb344os2j+D6s8aNG2vu3LmaNm2aatWqpdWrV+cIp23atNHSpUu1evVqNWjQQI0bN9a77757T8srAABA4WUx/rqI0oQWLFigoUOH6tSpU3JxcbF3OfflxIkTqlChgrZv3666devauxzTSk9Pv3GD15Av5ODqYbc6TkxoZ7e+AQAwm5s/v9PS0uTt7X3HtnZfE3s/rly5otOnT2vChAn617/+ZeoAm5mZqQsXLujNN99U48aNCbAAAAB38LddTpAbkyZNUpUqVeTv72/6r6ndvHmzSpcure3bt99y7S8AAAD+v0KxnAD4K5YTAABgPveynMDUM7EAAAD4ZyLEAgAAwHQIsQAAADAdQiwAAABMhxALAAAA0yHEAgAAwHQIsQAAADAdQiwAAABMhxALAAAA03GydwFAQUoc0+au3/gBAADMh5lYAAAAmA4hFgAAAKZDiAUAAIDpEGIBAABgOoRYAAAAmA4hFgAAAKZDiAUAAIDpEGIBAABgOoRYAAAAmA4hFgAAAKZDiAUAAIDpEGIBAABgOoRYAAAAmA4hFgAAAKZDiAUAAIDpEGIBAABgOoRYAAAAmA4hFgAAAKZDiAUAAIDpEGIBAABgOoRYAAAAmA4hFgAAAKZDiAUAAIDpEGIBAABgOoRYAAAAmA4hFgAAAKZDiAUAAIDpEGIBAABgOoRYAAAAmA4hFgAAAKZDiAUAAIDpEGIBAABgOoRYAAAAmA4hFgAAAKZDiAUAAIDpOOXlpO++++6W+y0Wi9zc3FSxYkUFBwffV2EAAADA7eQpxHbq1EkWi0WGYdjsv7nPYrHokUce0ZIlS1S0aNF8KRTIi+pvrZKDq4e9y8Df1IkJ7exdAgAgj/K0nGDNmjVq0KCB1qxZo7S0NKWlpWnNmjVq1KiRli5dqh9++EEXLlzQ8OHD87teAAAAIG8zsYMHD9aHH36ohx9+2LqvdevWcnNzU79+/bR//3699957euGFF/KtUAAAAOCmPM3EHj16VN7e3jn2e3t769ixY5KkkJAQnT9//v6qAwAAAG4hTyG2Xr16evXVV3Xu3DnrvnPnzmnEiBFq0KCBJOnw4cMKDAzMnyoBAACAP8nTcoKPP/5YHTt21EMPPWQNqidPnlT58uX17bffSpIuXbqkN998M/8qBQAAAP5PnkJs5cqVdeDAAa1evVqHDh2y7nv00Ufl4HBjcrdTp075ViQAAADwZ3kKsZLk4OCgiIgIRURE5Gc9AAAAwF3lOcSuW7dO69atU0pKirKzs22OffLJJ/ddGAAAAHA7eQqxY8aM0dixY1W/fn2VLl1aFoslv+sCAAAAbitPIXbOnDmKjY1Vjx498rseAAAA4K7y9Iita9eu2XzRAQAAAPAg5SnE9u3bV59//nl+1wIAAADkSp6WE1y9elUffvih1q5dq5o1a8rZ2dnm+NSpU/OlOOQUGxurIUOGKDU19bZtoqKitGTJEiUkJOSpjxMnTig4OFi7d+9W7dq179q+d+/eSk1N1ZIlS/LUHwAAwL3K00zs3r17Vbt2bTk4OCgxMVG7d++2vvIanP4pevfuLYvFIovFIhcXF1WsWFFjx47V9evXc3V+165drc/mzYuoqChr/7d7BQYG6vTp06pevXqe+7nXmnITlgEAAG7K00zshg0b8ruOf5SIiAjFxMQoIyNDy5cv18CBA+Xs7KyRI0fe9Vx3d3e5u7vnue/hw4frpZdesm43aNBA/fr104svvmjd5+joKH9//zz3AQAAUNDyNBOL++Pq6ip/f3+VLVtW/fv3V3h4uL777jtJN5Zi1KhRQ56engoMDNSAAQN06dIl67mxsbHy9fW1ud6ECRNUqlQpFSlSRH369NHVq1dv27eXl5f8/f2tL0dHRxUpUsRm34kTJ2SxWGxm1ffv36/27dvL29tbRYoUUdOmTXX06NFb9rF9+3b5+flp4sSJkqTU1FT17dtXfn5+8vb2VqtWrbRnzx7r+xkzZoz27NljnQmOjY2VYRiKiopSUFCQXF1dFRAQoEGDBuVluAEAQCGU65nYzp07KzY2Vt7e3urcufMd2y5evPi+C/sncXd314ULFyTd+Ca06dOnKzg4WMeOHdOAAQM0YsQIzZo165bnfvHFF4qKitL777+vRx55RAsWLND06dNVvnz5fKvv119/VbNmzdSiRQutX79e3t7e2rx58y2XQKxfv16dO3fWpEmT1K9fP0nS008/LXd3d61YsUI+Pj764IMP1Lp1ax06dEhdu3ZVYmKiVq5cqbVr10qSfHx89PXXX+vdd9/VokWLVK1aNZ05c8YafG8lIyNDGRkZ1u309PR8e/8AAODvJ9ch1sfHx/qlBj4+PgVW0D+JYRhat26dVq1apZdfflmSNGTIEOvxcuXKady4cXrppZduG2Lfe+899enTR3369JEkjRs3TmvXrr3jbOy9ev/99+Xj46NFixZZb+KrVKlSjnbffPONevbsqY8++khdu3aVJG3atEnbtm1TSkqKXF1dJUmTJ0/WkiVL9NVXX6lfv37y8vKSk5OTzRKG5ORk+fv7Kzw8XM7OzgoKClLDhg1vW2N0dLTGjBmTb+8ZAAD8veU6xMbExNzyz7h3S5culZeXlzIzM5Wdna1nn31WUVFRkqS1a9cqOjpaP//8s9LT03X9+nVdvXpVV65ckYeHR45rJSUl2axxlaSwsLB8XbeckJCgpk2b5ngKxZ/Fx8dr6dKl+uqrr9SpUyfr/j179ujSpUsqXry4Tfs//vjjtssRpBuzt++9957Kly+viIgIPf744+rQoYOcnG79n+zIkSM1bNgw63Z6eroCAwNz+Q4BAIDZ5OnGruPHj+v69esKCQmx2X/48GE5OzurXLly+VFbodWyZUvNnj1bLi4uCggIsAazEydOqH379urfv7/eeecdFStWTJs2bVKfPn107dq1W4bYByE3N5JVqFBBxYsX1yeffKJ27dpZA++lS5dUunRpbdy4Mcc5f13b+2eBgYE6ePCg1q5dqzVr1mjAgAH6z3/+o7i4uFuGaVdXV+tMLwAAKPzydGNX79699dNPP+XYHx8fr969e99vTYWep6enKlasqKCgIJuZxZ07dyo7O1tTpkxR48aNValSJZ06deqO1woNDVV8fLzNvq1bt+ZrvTVr1tSPP/6ozMzM27YpUaKE1q9fryNHjqhLly7WtnXr1tWZM2fk5OSkihUr2rxKlCghSXJxcVFWVlaOa7q7u6tDhw6aPn26Nm7cqC1btmjfvn35+t4AAIA55SnE7t69W02aNMmxv3Hjxjwn9j5UrFhRmZmZmjFjho4dO6YFCxZozpw5dzxn8ODB+uSTTxQTE6NDhw7prbfe0v79+/O1rsjISKWnp+uZZ57Rjh07dPjwYS1YsEAHDx60aVeyZEmtX79eP//8s7p166br168rPDxcYWFh6tSpk1avXq0TJ07op59+0htvvKEdO3ZIurH29/jx40pISND58+eVkZGh2NhYffzxx0pMTNSxY8f06aefyt3dXWXLls3X9wYAAMwpTyHWYrHo4sWLOfanpaXdckYNuVOrVi1NnTpVEydOVPXq1fXZZ58pOjr6jud07dpVo0aN0ogRI1SvXj398ssv6t+/f77WVbx4ca1fv16XLl1S8+bNVa9ePc2dO/eWv9b39/fX+vXrtW/fPnXv3l3Z2dlavny5mjVrpueff16VKlXSM888o19++UWlSpWSJD355JOKiIhQy5Yt5efnp4ULF8rX11dz585VkyZNVLNmTa1du1bff/99jrW1AADgn8liGIZxryd16NBB7u7uWrhwoRwdHSVJWVlZ6tq1qy5fvqwVK1bke6HAvUhPT5ePj48Ch3whB1f7rCXG39+JCe3sXQIA4E9u/vxOS0uTt7f3Hdvm6cauiRMnqlmzZqpcubKaNm0qSfrxxx+Vnp6u9evX5+WSAAAAQK7laTlB1apVtXfvXnXp0kUpKSm6ePGievbsqZ9//lnVq1fP7xoBAAAAG3maiZWkgIAAjR8/Pj9rAQAAAHIl1yF27969ql69uhwcHLR37947tq1Zs+Z9FwYAAADcTq5DbO3atXXmzBmVLFlStWvXlsVi0a3uCbNYLDyhAAAAAAUq1yH2+PHj8vPzs/4ZAAAAsJdch9ibD5nPzMzUmDFjNGrUKAUHBxdYYQAAAMDt3PPTCZydnfX1118XRC0AAABAruTpEVudOnXSkiVL8rkUAAAAIHfy9IitkJAQjR07Vps3b1a9evXk6elpc3zQoEH5UhwAAABwK3n62tk7rYW1WCw6duzYfRUF3C++dha5wdfOAsDfS4F/7eyfn05wMwNbLJa8XAoAAAC4Z3n+xq6PP/5Y7777rg4fPizpxhKDIUOGqG/fvvlWHHC/Ese0ueu/5AAAgPnkKcSOHj1aU6dO1csvv6ywsDBJ0pYtWzR06FAlJydr7Nix+VokAAAA8Gd5WhPr5+en6dOnq1u3bjb7Fy5cqJdfflnnz5/PtwKBvLiXNTUAAODv4V5+fufpEVuZmZmqX79+jv316tXT9evX83JJAAAAINfyFGJ79Oih2bNn59j/4Ycfqnv37vddFAAAAHAn93Vj1+rVq9W4cWNJUnx8vJKTk9WzZ08NGzbM2m7q1Kn3XyUAAADwJ3kKsYmJiapbt64k6ejRo5KkEiVKqESJEkpMTLS247FbAAAAKAh5CrEbNmzI7zoAAACAXMvTmlgAAADAngixAAAAMB1CLAAAAEyHEAsAAADTIcQCAADAdAixAAAAMB1CLAAAAEyHEAsAAADTIcQCAADAdAixAAAAMB1CLAAAAEyHEAsAAADTIcQCAADAdAixAAAAMB1CLAAAAEyHEAsAAADTIcQCAADAdAixAAAAMB1CLAAAAEyHEAsAAADTIcQCAADAdAixAAAAMB1CLAAAAEyHEAsAAADTIcQCAADAdAixAAAAMB1CLAAAAEyHEAsAAADTIcQCAADAdJzsXQBQkKq/tUoOrh72LgN2cGJCO3uXAAAoQMzEAgAAwHQIsQAAADAdQiwAAABMhxALAAAA0yHEAgAAwHQIsQAAADAdQiwAAABMhxALAAAA0yHEAgAAwHQIsQAAADAdQiwAAABMhxALAAAA0yHEQpIUGxsrX19fu/S9ceNGWSwWpaam2qV/AABgPoTYB6h3796yWCw5XkeOHLF3aXb18MMP6/Tp0/Lx8bF3KQAAwCSc7F3AP01ERIRiYmJs9vn5+eVod+3aNbm4uDyosu6qIOtxcXGRv79/gVwbAAAUTszEPmCurq7y9/e3eTk6OqpFixaKjIzUkCFDVKJECbVp00aSlJiYqLZt28rLy0ulSpVSjx49dP78eev1srOzFR0dreDgYLm7u6tWrVr66quv7lpHbGysgoKC5OHhoSeeeEIXLlywOR4VFaXatWvro48+UnBwsNzc3CRJycnJ6tixo7y8vOTt7a0uXbro7NmzOc774IMPFBgYKA8PD3Xp0kVpaWm3reWvywluLm1YtWqVQkND5eXlpYiICJ0+fTrX4wwAAAo3QuzfyLx58+Ti4qLNmzdrzpw5Sk1NVatWrVSnTh3t2LFDK1eu1NmzZ9WlSxfrOdHR0Zo/f77mzJmj/fv3a+jQoXruuecUFxd3237i4+PVp08fRUZGKiEhQS1bttS4ceNytDty5Ii+/vprLV68WAkJCcrOzlbHjh3122+/KS4uTmvWrNGxY8fUtWvXHOd98cUX+v7777Vy5Urt3r1bAwYMuKexuHLliiZPnqwFCxbohx9+UHJysoYPH37b9hkZGUpPT7d5AQCAwovlBA/Y0qVL5eXlZd1u27atvvzyS0lSSEiIJk2aZD02btw41alTR+PHj7fu++STTxQYGKhDhw6pbNmyGj9+vNauXauwsDBJUvny5bVp0yZ98MEHat68+S1rmDZtmiIiIjRixAhJUqVKlfTTTz9p5cqVNu2uXbum+fPnW5c7rFmzRvv27dPx48cVGBgoSZo/f76qVaum7du3q0GDBpKkq1evav78+SpTpowkacaMGWrXrp2mTJmS62UDmZmZmjNnjipUqCBJioyM1NixY2/bPjo6WmPGjMnVtQEAgPkRYh+wli1bavbs2dZtT09P65/r1atn03bPnj3asGGDTei96ejRo8rMzNSVK1f06KOP2hy7du2a6tSpI0mqVq2afvnlF0lS06ZNtWLFCiUlJemJJ56wOScsLCxHiC1btqzNet2kpCQFBgZaA6wkVa1aVb6+vkpKSrKG2KCgIGuAvXnt7OxsHTx4MNch1sPDwxpgJal06dJKSUm5bfuRI0dq2LBh1u309HSbOgEAQOFCiH3APD09VbFixdse+7NLly6pQ4cOmjhxYo62pUuXVmJioiRp2bJlNqFRurH2VpKWL1+uzMxMSZK7u/s912ovzs7ONtsWi0WGYdy2vaurq/U9AwCAwo8Q+zdWt25dff311ypXrpycnHJ+VFWrVpWrq6uSk5Nvu3SgbNmyOfaFhoYqPj7eZt/WrVvvWk9oaKhOnjypkydPWmc5Dxw4oNTUVFWtWtXaLjk5WadOnVJAQID12g4ODqpcufJd+wAAAMgNbuz6Gxs4cKB+++03devWTdu3b9fRo0e1atUqPf/888rKylKRIkU0fPhwDR06VPPmzdPRo0e1a9cuzZgxQ/PmzbvtdQcNGqSVK1dq8uTJOnz4sGbOnJljKcGthIeHq0aNGurevbt27dqlbdu2qWfPnmrevLnq169vbefm5qZevXppz549+vHHHzVo0CB16dKFx2gBAIB8Q4j9GwsICNDmzZuVlZWlxx57TDVq1NCQIUPk6+srB4cbH93bb7+tUaNGKTo6WqGhoYqIiNCyZcsUHBx82+s2btxYc+fO1bRp01SrVi2tXr1ab7755l3rsVgs+vbbb1W0aFE1a9ZM4eHhKl++vP773//atKtYsaI6d+6sxx9/XI899phq1qypWbNm3d9gAAAA/InFuNNCQ+AeRUVFacmSJUpISLBrHenp6fLx8VHgkC/k4Oph11pgHycmtLN3CQCAe3Tz53daWpq8vb3v2JaZWAAAAJgOIRYAAACmQ4hFvoqKirL7UgIAAFD4EWIBAABgOoRYAAAAmA4hFgAAAKZDiAUAAIDpEGIBAABgOoRYAAAAmA4hFgAAAKZDiAUAAIDpEGIBAABgOk72LgAoSIlj2sjb29veZQAAgHzGTCwAAABMhxALAAAA0yHEAgAAwHQIsQAAADAdQiwAAABMhxALAAAA0yHEAgAAwHQIsQAAADAdQiwAAABMhxALAAAA0yHEAgAAwHQIsQAAADAdQiwAAABMhxALAAAA0yHEAgAAwHQIsQAAADAdQiwAAABMhxALAAAA0yHEAgAAwHQIsQAAADAdQiwAAABMhxALAAAA0yHEAgAAwHQIsQAAADAdQiwAAABMhxALAAAA0yHEAgAAwHQIsQAAADAdQiwAAABMhxALAAAA0yHEAgAAwHQIsQAAADAdQiwAAABMhxALAAAA0yHEAgAAwHQIsQAAADAdJ3sXABSk6m+tkoOrh73LsKsTE9rZuwQAAPIdM7EAAAAwHUIsAAAATIcQCwAAANMhxAIAAMB0CLEAAAAwHUIsAAAATIcQCwAAANMhxAIAAMB0CLEAAAAwHUIsAAAATIcQCwAAANMhxAIAAMB0CLH/ELGxsfL19S3wfqKiolS7du18veaDqh0AAJgHIfYB6N27tywWS47XkSNH7F0aAACAKTnZu4B/ioiICMXExNjs8/Pzs9m+du2aXFxcHmRZAAAApsRM7APi6uoqf39/m1fr1q0VGRmpIUOGqESJEmrTpo0kKTExUW3btpWXl5dKlSqlHj166Pz589ZrZWdnKzo6WsHBwXJ3d1etWrX01Vdf5aqOJUuWKCQkRG5ubmrTpo1Onjxpc3z27NmqUKGCXFxcVLlyZS1YsMDmeHJysjp27CgvLy95e3urS5cuOnv27G37O3r0qMqXL6/IyEgZhqGMjAwNHz5cZcqUkaenpxo1aqSNGzfanBMbG6ugoCB5eHjoiSee0IULF3L13gAAwD8HIdbO5s2bJxcXF23evFlz5sxRamqqWrVqpTp16mjHjh1auXKlzp49qy5duljPiY6O1vz58zVnzhzt379fQ4cO1XPPPae4uLg79nXlyhW98847mj9/vjZv3qzU1FQ988wz1uPffPONBg8erFdeeUWJiYn617/+peeff14bNmyQdCM8d+zYUb/99pvi4uK0Zs0aHTt2TF27dr1lf3v37tUjjzyiZ599VjNnzpTFYlFkZKS2bNmiRYsWae/evXr66acVERGhw4cPS5Li4+PVp08fRUZGKiEhQS1bttS4cePuOo4ZGRlKT0+3eQEAgMLLYhiGYe8iCrvevXvr008/lZubm3Vf27Ztde7cOaWnp2vXrl3W/ePGjdOPP/6oVatWWff973//U2BgoA4ePKiyZcuqWLFiWrt2rcLCwqxt+vbtqytXrujzzz+/ZQ2xsbF6/vnntXXrVjVq1EiS9PPPPys0NFTx8fFq2LChmjRpomrVqunDDz+0ntelSxddvnxZy5Yt05o1a9S2bVsdP35cgYGBkqQDBw6oWrVq2rZtmxo0aKCoqCgtWbJEs2bNUvv27fXGG2/olVdekXRjFrd8+fJKTk5WQECAtY/w8HA1bNhQ48eP17PPPqu0tDQtW7bMevyZZ57RypUrlZqaetsxjoqK0pgxY3LsDxzyhRxcPW573j/BiQnt7F0CAAC5kp6eLh8fH6Wlpcnb2/uObZmJfUBatmyphIQE62v69OmSpHr16tm027NnjzZs2CAvLy/rq0qVKpJu/Gr+yJEjunLlih599FGbNvPnz9fRo0clSdWqVbPub9u2rfXaTk5OatCggXW7SpUq8vX1VVJSkiQpKSlJTZo0samnSZMmNscDAwOtAVaSqlatanMN6UZYffTRRzV69GhrgJWkffv2KSsrS5UqVbKpPS4uzlp7UlKSNWTf9OewfjsjR45UWlqa9fXXZRIAAKBw4cauB8TT01MVK1a85f4/u3Tpkjp06KCJEyfmaFu6dGklJiZKkpYtW6YyZcrYHHd1dZUkLV++XJmZmZIkd3f3fKn/Xvj5+SkgIEALFy7UCy+8YP2X1KVLl+To6KidO3fK0dHR5hwvL6/76tPV1dX6/gEAQOFHiP2bqVu3rr7++muVK1dOTk45P56qVavK1dVVycnJat68+S2vUbZs2Vvuv379unbs2KGGDRtKkg4ePKjU1FSFhoZKkkJDQ7V582b16tXLes7mzZtVtWpV6/GTJ0/q5MmTNssJUlNTrW2kG8F56dKlevzxx9WmTRutXr1aRYoUUZ06dZSVlaWUlBQ1bdr0ljXeXN7wZ1u3br1lWwAA8M9FiP2bGThwoObOnatu3bppxIgRKlasmI4cOaJFixbpo48+UpEiRTR8+HANHTpU2dnZeuSRR5SWlqbNmzfL29vbJoD+lbOzs15++WVNnz5dTk5OioyMVOPGja2h9tVXX1WXLl1Up04dhYeH6/vvv9fixYu1du1aSTfWrtaoUUPdu3fXe++9p+vXr2vAgAFq3ry56tevb9OXp6enli1bprZt26pt27ZauXKlKlWqpO7du6tnz56aMmWK6tSpo3PnzmndunWqWbOm2rVrp0GDBqlJkyaaPHmyOnbsqFWrVmnlypUFN+AAANxGVlaW9TebyB/Ozs45fhubV4TYv5mAgABt3rxZr732mh577DFlZGSobNmyioiIkIPDjSXMb7/9tvz8/BQdHa1jx47J19dXdevW1b///e87XtvDw0Ovvfaann32Wf36669q2rSpPv74Y+vxTp06adq0aZo8ebIGDx6s4OBgxcTEqEWLFpIki8Wib7/9Vi+//LKaNWsmBwcHRUREaMaMGbfsz8vLSytWrFCbNm3Url07LV++XDExMRo3bpxeeeUV/frrrypRooQaN26s9u3bS5IaN26suXPn6q233tLo0aMVHh6uN998U2+//XY+jC4AAHdnGIbOnDlzxxuKkXe+vr7y9/eXxWK5r+vwdAIUSjfvbuTpBDydAADu1enTp5WamqqSJUvKw8PjvsMWbjAMQ1euXFFKSop8fX1VunTpHG3u5ekEzMQCAAD8n6ysLGuALV68uL3LKXRu3nCekpKikiVL3tfSAh6xBQAA8H9uroH18Phn/xavIN0c2/tdb0yIBQAA+AuWEBSc/BpbQiwAAABMhxALAAAA0+HGLgAAgFwo9/qyB9aXGZ8sc+LECQUHB2v37t2qXbt2gffHTCwAAABMhxALAABQCGRnZ2vSpEmqWLGiXF1dFRQUpHfeeUeStG/fPrVq1Uru7u4qXry4+vXrp0uXLlnPbdGihYYMGWJzvU6dOql3797W7XLlymn8+PF64YUXVKRIEQUFBenDDz+0Hg8ODpYk1alTRxaLxfplSQWFEAsAAFAIjBw5UhMmTNCoUaN04MABff755ypVqpQuX76sNm3aqGjRotq+fbu+/PJLrV27VpGRkffcx5QpU1S/fn3t3r1bAwYMUP/+/XXw4EFJ0rZt2yRJa9eu1enTp7V48eJ8fX9/xZpYAAAAk7t48aKmTZummTNnqlevXpKkChUq6JFHHtHcuXN19epVzZ8/X56enpKkmTNnqkOHDpo4caJKlSqV634ef/xxDRgwQJL02muv6d1339WGDRtUuXJl+fn5SZKKFy8uf3//fH6HOTETCwAAYHJJSUnKyMhQ69atb3msVq1a1gArSU2aNFF2drZ1FjW3atasaf2zxWKRv7+/UlJS8l74fSDEAgAAmNzNr3PNKwcHBxmGYbPvVt+o5ezsbLNtsViUnZ19X33nFcsJUKgljmkjb29ve5cBAECBCgkJkbu7u9atW6e+ffvaHAsNDVVsbKwuX75snY3dvHmzHBwcVLlyZUmSn5+fTp8+bT0nKytLiYmJatmyZa5rcHFxsZ77IDATCwAAYHJubm567bXXNGLECM2fP19Hjx7V1q1b9fHHH6t79+5yc3NTr169lJiYqA0bNujll19Wjx49rOthW7VqpWXLlmnZsmX6+eef1b9/f6Wmpt5TDSVLlpS7u7tWrlyps2fPKi0trQDe6f9HiAUAACgERo0apVdeeUWjR49WaGiounbtqpSUFHl4eGjVqlX67bff1KBBAz311FNq3bq1Zs6caT33hRdeUK9evdSzZ081b95c5cuXv6dZWElycnLS9OnT9cEHHyggIEAdO3bM77dow2L8dQEEUAikp6fLx8dHaWlpLCcAAOTa1atXdfz4cQUHB8vNzc3e5RRKdxrje/n5zUwsAAAATIcQCwAAANMhxAIAAMB0CLEAAAAwHUIsAAAATIcQCwAA8Bf2+haqf4L8Glu+sQsAAOD/uLi4yMHBQadOnZKfn59cXFxksVjsXVahYBiGrl27pnPnzsnBwcH6DV95RYgFAAD4Pw4ODgoODtbp06d16tQpe5dTKHl4eCgoKEgODve3IIAQCwAA8CcuLi4KCgrS9evXlZWVZe9yChVHR0c5OTnly+w2IRYAAOAvLBaLnJ2d5ezsbO9ScBvc2AUAAADTIcQCAADAdAixAAAAMB3WxKJQMgxDkpSenm7nSgAAQG7d/Ll98+f4nRBiUShduHBBkhQYGGjnSgAAwL26ePGifHx87tiGEItCqVixYpKk5OTku/5PgPyVnp6uwMBAnTx5Ut7e3vYu5x+DcbcPxt1+GHv7KOhxNwxDFy9eVEBAwF3bEmJRKN18gLKPjw9/udmJt7c3Y28HjLt9MO72w9jbR0GOe24nn7ixCwAAAKZDiAUAAIDpEGJRKLm6uuqtt96Sq6urvUv5x2Hs7YNxtw/G3X4Ye/v4O427xcjNMwwAAACAvxFmYgEAAGA6hFgAAACYDiEWAAAApkOIBQAAgOkQYlEovf/++ypXrpzc3NzUqFEjbdu2zd4lFSrR0dFq0KCBihQpopIlS6pTp046ePCgTZurV69q4MCBKl68uLy8vPTkk0/q7Nmzdqq4cJowYYIsFouGDBli3ce4F5xff/1Vzz33nIoXLy53d3fVqFFDO3bssB43DEOjR49W6dKl5e7urvDwcB0+fNiOFZtfVlaWRo0apeDgYLm7u6tChQp6++239ed70hn3/PHDDz+oQ4cOCggIkMVi0ZIlS2yO52acf/vtN3Xv3l3e3t7y9fVVnz59dOnSpQKrmRCLQue///2vhg0bprfeeku7du1SrVq11KZNG6WkpNi7tEIjLi5OAwcO1NatW7VmzRplZmbqscce0+XLl61thg4dqu+//15ffvml4uLidOrUKXXu3NmOVRcu27dv1wcffKCaNWva7GfcC8bvv/+uJk2ayNnZWStWrNCBAwc0ZcoUFS1a1Npm0qRJmj59uubMmaP4+Hh5enqqTZs2unr1qh0rN7eJEydq9uzZmjlzppKSkjRx4kRNmjRJM2bMsLZh3PPH5cuXVatWLb3//vu3PJ6bce7evbv279+vNWvWaOnSpfrhhx/Ur1+/givaAAqZhg0bGgMHDrRuZ2VlGQEBAUZ0dLQdqyrcUlJSDElGXFycYRiGkZqaajg7OxtffvmltU1SUpIhydiyZYu9yiw0Ll68aISEhBhr1qwxmjdvbgwePNgwDMa9IL322mvGI488ctvj2dnZhr+/v/Gf//zHui81NdVwdXU1Fi5c+CBKLJTatWtnvPDCCzb7OnfubHTv3t0wDMa9oEgyvvnmG+t2bsb5wIEDhiRj+/bt1jYrVqwwLBaL8euvvxZInczEolC5du2adu7cqfDwcOs+BwcHhYeHa8uWLXasrHBLS0uTJBUrVkyStHPnTmVmZtp8DlWqVFFQUBCfQz4YOHCg2rVrZzO+EuNekL777jvVr19fTz/9tEqWLKk6depo7ty51uPHjx/XmTNnbMbex8dHjRo1Yuzvw8MPP6x169bp0KFDkqQ9e/Zo06ZNatu2rSTG/UHJzThv2bJFvr6+ql+/vrVNeHi4HBwcFB8fXyB1ORXIVQE7OX/+vLKyslSqVCmb/aVKldLPP/9sp6oKt+zsbA0ZMkRNmjRR9erVJUlnzpyRi4uLfH19bdqWKlVKZ86csUOVhceiRYu0a9cubd++Pccxxr3gHDt2TLNnz9awYcP073//W9u3b9egQYPk4uKiXr16Wcf3Vn/3MPZ59/rrrys9PV1VqlSRo6OjsrKy9M4776h79+6SxLg/ILkZ5zNnzqhkyZI2x52cnFSsWLEC+ywIsQDuy8CBA5WYmKhNmzbZu5RC7+TJkxo8eLDWrFkjNzc3e5fzj5Kdna369etr/PjxkqQ6deooMTFRc+bMUa9evexcXeH1xRdf6LPPPtPnn3+uatWqKSEhQUOGDFFAQADjDm7sQuFSokQJOTo65rgb++zZs/L397dTVYVXZGSkli5dqg0bNuihhx6y7vf399e1a9eUmppq057P4f7s3LlTKSkpqlu3rpycnOTk5KS4uDhNnz5dTk5OKlWqFONeQEqXLq2qVava7AsNDVVycrIkWceXv3vy16uvvqrXX39dzzzzjGrUqKEePXpo6NChio6OlsS4Pyi5GWd/f/8cN1Bfv35dv/32W4F9FoRYFCouLi6qV6+e1q1bZ92XnZ2tdevWKSwszI6VFS6GYSgyMlLffPON1q9fr+DgYJvj9erVk7Ozs83ncPDgQSUnJ/M53IfWrVtr3759SkhIsL7q16+v7t27W//MuBeMJk2a5HiM3KFDh1S2bFlJUnBwsPz9/W3GPj09XfHx8Yz9fbhy5YocHGyjiqOjo7KzsyUx7g9KbsY5LCxMqamp2rlzp7XN+vXrlZ2drUaNGhVMYQVyuxhgR4sWLTJcXV2N2NhY48CBA0a/fv0MX19f48yZM/YurdDo37+/4ePjY2zcuNE4ffq09XXlyhVrm5deeskICgoy1q9fb+zYscMICwszwsLC7Fh14fTnpxMYBuNeULZt22Y4OTkZ77zzjnH48GHjs88+Mzw8PIxPP/3U2mbChAmGr6+v8e233xp79+41OnbsaAQHBxt//PGHHSs3t169ehllypQxli5dahw/ftxYvHixUaJECWPEiBHWNox7/rh48aKxe/duY/fu3YYkY+rUqcbu3buNX375xTCM3I1zRESEUadOHSM+Pt7YtGmTERISYnTr1q3AaibEolCaMWOGERQUZLi4uBgNGzY0tm7dau+SChVJt3zFxMRY2/zxxx/GgAEDjKJFixoeHh7GE088YZw+fdp+RRdSfw2xjHvB+f77743q1asbrq6uRpUqVYwPP/zQ5nh2drYxatQoo1SpUoarq6vRunVr4+DBg3aqtnBIT083Bg8ebAQFBRlubm5G+fLljTfeeMPIyMiwtmHc88eGDRtu+fd6r169DMPI3ThfuHDB6Natm+Hl5WV4e3sbzz//vHHx4sUCq9liGH/62gsAAADABFgTCwAAANMhxAIAAMB0CLEAAAAwHUIsAAAATIcQCwAAANMhxAIAAMB0CLEAAAAwHUIsAAAATIcQCwAAANMhxAIAAMB0CLEAAAAwHUIsAAAATOf/ARRbHwuOlhrsAAAAAElFTkSuQmCC",
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