CoCalc -- grafana-dashboard-jvm-metrics.json

GitHub Repository: aos/docker-otel-lgtm
Path: blob/main/docker/grafana-dashboard-jvm-metrics.json
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{
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  "annotations": {
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    "list": [
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      {
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        "builtIn": 1,
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        "datasource": {
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          "type": "datasource",
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          "uid": "grafana"
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        },
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        "enable": true,
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        "hide": true,
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        "iconColor": "rgba(0, 211, 255, 1)",
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        "name": "Annotations & Alerts",
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        "target": {
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          "limit": 100,
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          "matchAny": false,
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          "tags": [],
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          "type": "dashboard"
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        },
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        "type": "dashboard"
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      }
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    ]
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  },
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  "description": "Dashboard for JVM metrics with OpenTelemetry instrumentation",
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  "editable": true,
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  "fiscalYearStartMonth": 0,
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  "gnetId": 18812,
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  "graphTooltip": 0,
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    {
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      "asDropdown": false,
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      "icon": "info",
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      "includeVars": false,
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      "keepTime": false,
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      "tags": [],
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      "targetBlank": false,
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      "title": "Semantic Conventions: 1.20.0 - 1.22.0",
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      "tooltip": "multiple versions of the semantic conventions are supported using 'or' and regex queries",
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      "type": "link",
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      "url": "https://github.com/open-telemetry/semantic-conventions/blob/main/schemas/1.20.0"
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    }
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        "type": "prometheus",
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        "uid": "${datasource}"
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      },
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      "description": "HTTP server request rate",
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                "color": "red",
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                "value": 80
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          },
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          "unit": "reqps"
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            "type": "prometheus",
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        "type": "prometheus",
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        "uid": "${datasource}"
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                "value": 80
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      "options": {
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        "legend": {
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        {
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          "datasource": {
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            "type": "prometheus",
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            "uid": "${datasource}"
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          "editorMode": "code",
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          "expr": "(sum by (instance)(rate({__name__=~\"http_server_request_duration_seconds_count|http_server_request_duration_count\", job=~\"$job\", instance=~\"$instance\", http_response_status_code=~\"5.*\"}[$__rate_interval]))) / on (instance) (sum by (instance)(rate({__name__=~\"http_server_request_duration_seconds_count|http_server_request_duration_count\", job=~\"$job\", instance=~\"$instance\"}[$__rate_interval])))\nor\n(sum by (instance)(rate({__name__=~\"http_server_duration_milliseconds_count|http_server_duration_seconds_count|http_server_duration_count\", job=~\"$job\", instance=~\"$instance\", http_status_code=~\"5.*\"}[$__rate_interval]))) / on (instance) (sum by (instance)(rate({__name__=~\"http_server_duration_milliseconds_count|http_server_duration_seconds_count|http_server_duration_count\", job=~\"$job\", instance=~\"$instance\"}[$__rate_interval])))\nor\n(sum by (instance)(rate({__name__=~\"http_server_requests_milliseconds_count|http_server_requests_count|http_server_requests_seconds_count\", job=~\"$job\", instance=~\"$instance\", outcome=\"SERVER_ERROR\"}[$__rate_interval]))) / on (instance) (sum by (instance)(rate({__name__=~\"http_server_requests_milliseconds_count|http_server_requests_count|http_server_requests_seconds_count\", job=~\"$job\", instance=~\"$instance\"}[$__rate_interval])))\n",
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          "instant": false,
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          "legendFormat": "__auto",
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          "range": true,
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          "refId": "A"
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        }
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      ],
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      "title": "Error %",
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    {
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      "datasource": {
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        "type": "prometheus",
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        "uid": "${datasource}"
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      "description": "95th percentile of HTTP server request duration in seconds",
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              "type": "linear"
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            "showPoints": "auto",
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              "group": "A",
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              "mode": "none"
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              "mode": "off"
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              {
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                "color": "red",
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                "value": 80
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          },
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          "unit": "s"
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        {
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          "datasource": {
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            "type": "prometheus",
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            "uid": "${datasource}"
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          "editorMode": "code",
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          "expr": "(histogram_quantile(0.95, sum by(le, instance) (rate({__name__=~\"http_server_request_duration_seconds_bucket|http_server_request_duration_bucket|http_server_duration_seconds_bucket|http_server_duration_bucket|http_server_requests_seconds_bucket\", job=~\"$job\", instance=~\"$instance\"}[$__rate_interval]))))\nor\n(histogram_quantile(0.95, sum by(le, instance) (rate({__name__=~\"http_server_duration_milliseconds_bucket|http_server_requests_milliseconds_bucket|http_server_requests_bucket\", job=~\"$job\", instance=~\"$instance\"}[$__rate_interval]))) / 1000)\n",
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          "instant": false,
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          "legendFormat": "{{instance}}",
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          "range": true,
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          "refId": "A"
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        }
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      "title": "Duration (95%)",
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      "type": "timeseries"
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    },
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      "datasource": {
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        "type": "prometheus",
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        "uid": "${datasource}"
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      "options": {
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        {
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          "datasource": {
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            "type": "prometheus",
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            "uid": "${datasource}"
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          },
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          "editorMode": "code",
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          "expr": "{__name__=~\"jvm_cpu_recent_utilization|jvm_cpu_recent_utilization_ratio|process_runtime_jvm_system_cpu_utilization|process_runtime_jvm_system_cpu_utilization_ratio|system_cpu_usage\", job=~\"$job\", instance=~\"$instance\"}",
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          "legendFormat": "{{instance}}",
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          "range": true,
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          "refId": "A"
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        }
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      "title": "CPU utilization",
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    },
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    {
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      "datasource": {
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        "type": "prometheus",
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        "uid": "${datasource}"
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      "description": "Used heap memory / heap memory limit ",
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          "datasource": {
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            "type": "prometheus",
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            "uid": "${datasource}"
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          "expr": "(sum by (instance) ({__name__=~\"jvm_memory_used|jvm_memory_used_bytes\",job=~\"$job\",jvm_memory_type=\"heap\", instance=~\"$instance\"}) / on(instance) sum by (instance) ({__name__=~\"jvm_memory_limit|jvm_memory_limit_bytes\",job=~\"$job\",jvm_memory_type=\"heap\", instance=~\"$instance\"}))\nor\n(sum by (instance) ({__name__=~\"process_runtime_jvm_memory_usage|process_runtime_jvm_memory_usage_bytes\",job=~\"$job\",type=\"heap\", instance=~\"$instance\"}) / on(instance) sum by (instance) ({__name__=~\"process_runtime_jvm_memory_limit|process_runtime_jvm_memory_limit_bytes\",job=~\"$job\",type=\"heap\", instance=~\"$instance\"}))\nor\n(sum by (instance) ({__name__=~\"jvm_memory_used|jvm_memory_used_bytes\",job=~\"$job\",area=\"heap\", instance=~\"$instance\"}) / on(instance) sum by (instance) ({__name__=~\"jvm_memory_max|jvm_memory_max_bytes\",job=~\"$job\",area=\"heap\", instance=~\"$instance\"}))",
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        "type": "prometheus",
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        "uid": "${datasource}"
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          "range": true,
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          "refId": "B"
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      "title": "Garbage Collection",
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      "type": "timeseries"
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    {
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      "datasource": {
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        "type": "prometheus",
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        "uid": "${datasource}"
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      "description": "Number of currently loaded classes",
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        "defaults": {
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669
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673
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674
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702
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703
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704
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705
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706
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707
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708
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709
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710
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711
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712
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713
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714
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715
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716
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717
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718
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719
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720
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721
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722
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723
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724
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725
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726
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728
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729
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731
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733
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741
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742
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748
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758
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759
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761
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762
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763
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764
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765
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766
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767
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768
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769
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770
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771
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772
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773
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779
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783
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785
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786
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787
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788
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789
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795
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796
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798
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799
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800
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801
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802
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803
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804
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805
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806
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807
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808
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809
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810
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811
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812
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813
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814
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815
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816
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817
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818
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819
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826
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827
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828
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829
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830
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831
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832
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835
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836
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837
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839
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840
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841
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842
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843
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844
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845
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847
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849
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854
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855
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856
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857
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858
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861
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865
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887
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905
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909
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910
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912
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913
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914
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916
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917
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921
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922
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923
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925
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926
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936
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937
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938
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941
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942
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943
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945
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946

947
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