diff options
| author | Dimitris Apostolou <dimitris.apostolou@icloud.com> | 2023-01-04 14:56:39 +0200 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2023-01-04 12:56:39 +0000 |
| commit | b0168e8e1a60fa5a259c2318a4e2404b21317806 (patch) | |
| tree | fb87a78575c22f1fd1bda110d04cd929e4078ac6 | |
| parent | 78359cd375d0b2c285741e6f934a681d0a0c3c15 (diff) | |
Fix typos (#14194)
24 files changed, 87 insertions, 80 deletions
diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml index 2e4c657c6d..f0f021a6f8 100644 --- a/.github/workflows/build.yml +++ b/.github/workflows/build.yml @@ -217,7 +217,7 @@ jobs: env: RETRY_DELAY: 300 strategy: - # Unlike the actal build tests, this completes _very_ fast (average of about 3 minutes for each job), so we + # Unlike the actual build tests, this completes _very_ fast (average of about 3 minutes for each job), so we # just run everything in parallel instead lof limiting job concurrency. fail-fast: false matrix: ${{ fromJson(needs.matrix.outputs.matrix) }} diff --git a/.github/workflows/docker.yml b/.github/workflows/docker.yml index ff40697acf..ae968bae93 100644 --- a/.github/workflows/docker.yml +++ b/.github/workflows/docker.yml @@ -221,7 +221,7 @@ jobs: docker-dbg-publish: if: github.event_name == 'workflow_dispatch' - name: Docker Build and Publish (Debuging Image) + name: Docker Build and Publish (Debugging Image) needs: - docker-test - normalize-tag diff --git a/collectors/COLLECTORS.md b/collectors/COLLECTORS.md index 4d48223f7a..1c26a91690 100644 --- a/collectors/COLLECTORS.md +++ b/collectors/COLLECTORS.md @@ -521,7 +521,7 @@ $ sudo wget https://raw.githubusercontent.com/netdata/community/main/collectors/ $ sudo wget https://raw.githubusercontent.com/netdata/community/main/collectors/python.d.plugin/clickhouse/clickhouse.conf -O /etc/netdata/python.d/clickhouse.conf # enable collector by adding line a new line with "clickhouse: yes" to /etc/netdata/python.d.conf file -# this will apend to the file if it already exists or create it if not +# this will append to the file if it already exists or create it if not $ sudo echo "clickhouse: yes" >> /etc/netdata/python.d.conf # (optional) edit clickhouse.conf if needed diff --git a/collectors/cups.plugin/README.md b/collectors/cups.plugin/README.md index f3b2a28d19..94a2566d01 100644 --- a/collectors/cups.plugin/README.md +++ b/collectors/cups.plugin/README.md @@ -11,7 +11,7 @@ custom_edit_url: https://github.com/netdata/netdata/edit/master/collectors/cups. This plugin needs a running local CUPS daemon (`cupsd`). This plugin does not need any configuration. Supports cups since version 1.7. -If you installed Netdata using our native packages, you will have to additionaly install `netdata-plugin-cups` to use this plugin for data collection. It is not installed by default due to the large number of dependencies it requires. +If you installed Netdata using our native packages, you will have to additionally install `netdata-plugin-cups` to use this plugin for data collection. It is not installed by default due to the large number of dependencies it requires. ## Charts diff --git a/collectors/ebpf.plugin/ebpf_cachestat.c b/collectors/ebpf.plugin/ebpf_cachestat.c index 6914d141ad..62efc0b8f4 100644 --- a/collectors/ebpf.plugin/ebpf_cachestat.c +++ b/collectors/ebpf.plugin/ebpf_cachestat.c @@ -289,7 +289,7 @@ static void ebpf_cachestat_disable_release_task(struct cachestat_bpf *obj) * @param obj is the main structure for bpf objects. * @param em structure with configuration * - * @return it returns 0 on succes and -1 otherwise + * @return it returns 0 on success and -1 otherwise */ static inline int ebpf_cachestat_load_and_attach(struct cachestat_bpf *obj, ebpf_module_t *em) { diff --git a/collectors/ebpf.plugin/ebpf_dcstat.c b/collectors/ebpf.plugin/ebpf_dcstat.c index 4591e987db..e8dacb4b84 100644 --- a/collectors/ebpf.plugin/ebpf_dcstat.c +++ b/collectors/ebpf.plugin/ebpf_dcstat.c @@ -216,7 +216,7 @@ static void ebpf_dc_disable_release_task(struct dc_bpf *obj) * @param obj is the main structure for bpf objects. * @param em structure with configuration * - * @return it returns 0 on succes and -1 otherwise + * @return it returns 0 on success and -1 otherwise */ static inline int ebpf_dc_load_and_attach(struct dc_bpf *obj, ebpf_module_t *em) { diff --git a/collectors/ebpf.plugin/ebpf_fd.c b/collectors/ebpf.plugin/ebpf_fd.c index 1f9498eaff..78e80b2f56 100644 --- a/collectors/ebpf.plugin/ebpf_fd.c +++ b/collectors/ebpf.plugin/ebpf_fd.c @@ -238,7 +238,7 @@ static inline void ebpf_fd_fill_address(ebpf_addresses_t *address, char **target /** * Set target values * - * Set pointers used to laod data. + * Set pointers used to load data. * * @return It returns 0 on success and -1 otherwise. */ @@ -312,7 +312,7 @@ static void ebpf_fd_disable_release_task(struct fd_bpf *obj) * @param obj is the main structure for bpf objects. * @param em structure with configuration * - * @return it returns 0 on succes and -1 otherwise + * @return it returns 0 on success and -1 otherwise */ static inline int ebpf_fd_load_and_attach(struct fd_bpf *obj, ebpf_module_t *em) { diff --git a/collectors/ebpf.plugin/ebpf_mount.c b/collectors/ebpf.plugin/ebpf_mount.c index 3dd92659a7..c540f34012 100644 --- a/collectors/ebpf.plugin/ebpf_mount.c +++ b/collectors/ebpf.plugin/ebpf_mount.c @@ -187,7 +187,7 @@ static void ebpf_mount_set_hash_tables(struct mount_bpf *obj) * @param obj is the main structure for bpf objects. * @param em structure with configuration * - * @return it returns 0 on succes and -1 otherwise + * @return it returns 0 on success and -1 otherwise */ static inline int ebpf_mount_load_and_attach(struct mount_bpf *obj, ebpf_module_t *em) { diff --git a/collectors/ebpf.plugin/ebpf_shm.c b/collectors/ebpf.plugin/ebpf_shm.c index 0892406e96..a65d189cca 100644 --- a/collectors/ebpf.plugin/ebpf_shm.c +++ b/collectors/ebpf.plugin/ebpf_shm.c @@ -246,7 +246,7 @@ static void ebpf_shm_adjust_map_size(struct shm_bpf *obj, ebpf_module_t *em) * @param obj is the main structure for bpf objects. * @param em structure with configuration * - * @return it returns 0 on succes and -1 otherwise + * @return it returns 0 on success and -1 otherwise */ static inline int ebpf_shm_load_and_attach(struct shm_bpf *obj, ebpf_module_t *em) { diff --git a/collectors/ebpf.plugin/ebpf_socket.c b/collectors/ebpf.plugin/ebpf_socket.c index 5767398316..677f7e6db8 100644 --- a/collectors/ebpf.plugin/ebpf_socket.c +++ b/collectors/ebpf.plugin/ebpf_socket.c @@ -387,7 +387,7 @@ static void ebpf_socket_adjust_map_size(struct socket_bpf *obj, ebpf_module_t *e * @param obj is the main structure for bpf objects. * @param em structure with configuration * - * @return it returns 0 on succes and -1 otherwise + * @return it returns 0 on success and -1 otherwise */ static inline int ebpf_socket_load_and_attach(struct socket_bpf *obj, ebpf_module_t *em) { @@ -2049,12 +2049,12 @@ static void ebpf_read_socket_hash_table(int fd, int family) /** * Fill Network Viewer Port list * - * Fill the strcture with values read from /proc or hash table. + * Fill the structure with values read from /proc or hash table. * * @param out the structure where we will store data. * @param value the ports we are listen to. * @param proto the protocol used for this connection. - * @param in the strcuture with values read form different sources. + * @param in the structure with values read form different sources. */ static inline void fill_nv_port_list(ebpf_network_viewer_port_list_t *out, uint16_t value, uint16_t proto, netdata_passive_connection_t *in) @@ -2073,7 +2073,7 @@ static inline void fill_nv_port_list(ebpf_network_viewer_port_list_t *out, uint1 * * @param value the ports we are listen to. * @param proto the protocol used with port connection. - * @param in the strcuture with values read form different sources. + * @param in the structure with values read form different sources. */ void update_listen_table(uint16_t value, uint16_t proto, netdata_passive_connection_t *in) { diff --git a/collectors/ebpf.plugin/ebpf_swap.c b/collectors/ebpf.plugin/ebpf_swap.c index f2d74f6821..f83e4643e3 100644 --- a/collectors/ebpf.plugin/ebpf_swap.c +++ b/collectors/ebpf.plugin/ebpf_swap.c @@ -184,7 +184,7 @@ static void ebpf_swap_disable_release_task(struct swap_bpf *obj) * @param obj is the main structure for bpf objects. * @param em structure with configuration * - * @return it returns 0 on succes and -1 otherwise + * @return it returns 0 on success and -1 otherwise */ static inline int ebpf_swap_load_and_attach(struct swap_bpf *obj, ebpf_module_t *em) { diff --git a/collectors/ebpf.plugin/ebpf_sync.c b/collectors/ebpf.plugin/ebpf_sync.c index 0c74684e7f..9af42e1207 100644 --- a/collectors/ebpf.plugin/ebpf_sync.c +++ b/collectors/ebpf.plugin/ebpf_sync.c @@ -77,7 +77,7 @@ static inline void ebpf_sync_disable_probe(struct sync_bpf *obj) } /** - * Disable tramppoline + * Disable trampoline * * Disable trampoline to use another method. * @@ -140,7 +140,7 @@ static void ebpf_sync_set_hash_tables(struct sync_bpf *obj, sync_syscalls_index_ * @param target the syscall that we are attaching a tracer. * @param idx the index for the main structure * - * @return it returns 0 on succes and -1 otherwise + * @return it returns 0 on success and -1 otherwise */ static inline int ebpf_sync_load_and_attach(struct sync_bpf *obj, ebpf_module_t *em, char *target, sync_syscalls_index_t idx) diff --git a/collectors/ebpf.plugin/ebpf_vfs.c b/collectors/ebpf.plugin/ebpf_vfs.c index eae5d32868..34b215a46c 100644 --- a/collectors/ebpf.plugin/ebpf_vfs.c +++ b/collectors/ebpf.plugin/ebpf_vfs.c @@ -357,7 +357,7 @@ static void ebpf_vfs_disable_release_task(struct vfs_bpf *obj) * @param obj is the main structure for bpf objects. * @param em structure with configuration * - * @return it returns 0 on succes and -1 otherwise + * @return it returns 0 on success and -1 otherwise */ static inline int ebpf_vfs_load_and_attach(struct vfs_bpf *obj, ebpf_module_t *em) { diff --git a/collectors/python.d.plugin/anomalies/README.md b/collectors/python.d.plugin/anomalies/README.md index aaf39ab92d..70d8b64294 100644 --- a/collectors/python.d.plugin/anomalies/README.md +++ b/collectors/python.d.plugin/anomalies/README.md @@ -231,7 +231,7 @@ If you would like to go deeper on what exactly the anomalies collector is doing - If you activate this collector on a fresh node, it might take a little while to build up enough data to calculate a realistic and useful model. - Some models like `iforest` can be comparatively expensive (on same n1-standard-2 system above ~2s runtime during predict, ~40s training time, ~50% cpu on both train and predict) so if you would like to use it you might be advised to set a relatively high `update_every` maybe 10, 15 or 30 in `anomalies.conf`. - Setting a higher `train_every_n` and `update_every` is an easy way to devote less resources on the node to anomaly detection. Specifying less charts and a lower `train_n_secs` will also help reduce resources at the expense of covering less charts and maybe a more noisy model if you set `train_n_secs` to be too small for how your node tends to behave. -- If you would like to enable this on a Rasberry Pi, then check out [this guide](https://learn.netdata.cloud/guides/monitor/raspberry-pi-anomaly-detection) which will guide you through first installing LLVM. +- If you would like to enable this on a Raspberry Pi, then check out [this guide](https://learn.netdata.cloud/guides/monitor/raspberry-pi-anomaly-detection) which will guide you through first installing LLVM. ## Useful links and further reading diff --git a/docs/guides/monitor/anomaly-detection.md b/docs/guides/monitor/anomaly-detection.md index e98c5c02e5..7f7727f53c 100644 --- a/docs/guides/monitor/anomaly-detection.md +++ b/docs/guides/monitor/anomaly-detection.md @@ -16,7 +16,7 @@ As of [`v1.32.0`](https://github.com/netdata/netdata/releases/tag/v1.32.0), Netd This means that in addition to collecting raw value metrics, the Netdata agent will also produce an [`anomaly-bit`](https://learn.netdata.cloud/docs/agent/ml#anomaly-bit---100--anomalous-0--normal) every second which will be `100` when recent raw metric values are considered anomalous by Netdata and `0` when they look normal. Once we aggregate beyond one second intervals this aggregated `anomaly-bit` becomes an ["anomaly rate"](https://learn.netdata.cloud/docs/agent/ml#anomaly-rate---averageanomaly-bit). -To be as concrete as possible, the below api call shows how to access the raw anomaly bit of the `system.cpu` chart from the [london.my-netdata.io](https://london.my-netdata.io) Netdata demo server. Passing `options=anomaly-bit` returns the anomay bit instead of the raw metric value. +To be as concrete as possible, the below api call shows how to access the raw anomaly bit of the `system.cpu` chart from the [london.my-netdata.io](https://london.my-netdata.io) Netdata demo server. Passing `options=anomaly-bit` returns the anomaly bit instead of the raw metric value. ``` https://london.my-netdata.io/api/v1/data?chart=system.cpu&options=anomaly-bit @@ -28,13 +28,13 @@ If we aggregate the above to just 1 point by adding `points=1` we get an "[Anoma https://london.my-netdata.io/api/v1/data?chart=system.cpu&options=anomaly-bit&points=1 ``` -The fundamentals of Netdata's anomaly detection approach and implmentation are covered in lots more detail in the [agent ML documentation](https://learn.netdata.cloud/docs/agent/ml). +The fundamentals of Netdata's anomaly detection approach and implementation are covered in lots more detail in the [agent ML documentation](https://learn.netdata.cloud/docs/agent/ml). This guide will explain how to get started using these ML based anomaly detection capabilities within Netdata. ## Anomaly Advisor -The [Anomaly Advisor](https://learn.netdata.cloud/docs/cloud/insights/anomaly-advisor) is the flagship anomaly detection feature within Netdata. In the "Anomalies" tab of Netdata you will see an overall "Anomaly Rate" chart that aggregates node level anomaly rate for all nodes in a space. The aim of this chart is to make it easy to quickly spot periods of time where the overall "[node anomaly rate](https://learn.netdata.cloud/docs/agent/ml#node-anomaly-rate)" is evelated in some unusual way and for what node or nodes this relates to. +The [Anomaly Advisor](https://learn.netdata.cloud/docs/cloud/insights/anomaly-advisor) is the flagship anomaly detection feature within Netdata. In the "Anomalies" tab of Netdata you will see an overall "Anomaly Rate" chart that aggregates node level anomaly rate for all nodes in a space. The aim of this chart is to make it easy to quickly spot periods of time where the overall "[node anomaly rate](https://learn.netdata.cloud/docs/agent/ml#node-anomaly-rate)" is elevated in some unusual way and for what node or nodes this relates to.  diff --git a/libnetdata/ebpf/ebpf.c b/libnetdata/ebpf/ebpf.c index 2c16a80902..7cad597858 100644 --- a/libnetdata/ebpf/ebpf.c +++ b/libnetdata/ebpf/ebpf.c @@ -809,7 +809,7 @@ static void ebpf_select_mode_string(char *output, size_t len, netdata_run_mode_t * * Convert the string given as argument to value present in enum. * - * @param str value read from configuraion file. + * @param str value read from configuration file. * * @return It returns the value to be used. */ @@ -901,7 +901,7 @@ netdata_ebpf_program_loaded_t ebpf_convert_core_type(char *str, netdata_run_mode /** * Adjust Thread Load * - * Adjust thread configuraton according specified load. + * Adjust thread configuration according specified load. * * @param mod the main structure that will be adjusted. * @param file the btf file used with thread. @@ -1060,7 +1060,7 @@ static netdata_ebpf_load_mode_t ebpf_select_load_mode(struct btf *btf_file, netd * Update configuration for a specific thread. * * @param modules structure that will be updated - * @oaram origin specify the configuration file loaded + * @param origin specify the configuration file loaded * @param btf_file a pointer to the loaded btf file. * @param is_rhf is Red Hat family? */ @@ -1124,7 +1124,7 @@ void ebpf_update_module(ebpf_module_t *em, struct btf *btf_file, int kver, int i error("Cannot load the ebpf configuration file %s", em->config_file); return; } - // If user defined data globaly, we will have here EBPF_LOADED_FROM_USER, we need to consider this, to avoid + // If user defined data globally, we will have here EBPF_LOADED_FROM_USER, we need to consider this, to avoid // forcing users to configure thread by thread. origin = (!(em->load & NETDATA_EBPF_LOAD_SOURCE)) ? EBPF_LOADED_FROM_STOCK : em->load & NETDATA_EBPF_LOAD_SOURCE; } else @@ -1139,7 +1139,7 @@ void ebpf_update_module(ebpf_module_t *em, struct btf *btf_file, int kver, int i * Apps and cgroup has internal cleanup that needs attaching tracers to release_task, to avoid overload the function * we will enable this integration by default, if and only if, we are running with trampolines. * - * @param em a poiter to the main thread structure. + * @param em a pointer to the main thread structure. * @param mode is the mode used with different */ void ebpf_adjust_apps_cgroup(ebpf_module_t *em, netdata_ebpf_program_loaded_t mode) diff --git a/libnetdata/ebpf/ebpf.h b/libnetdata/ebpf/ebpf.h index 5cff5134fc..cf3fa7ccd9 100644 --- a/libnetdata/ebpf/ebpf.h +++ b/libnetdata/ebpf/ebpf.h @@ -206,7 +206,7 @@ typedef struct ebpf_specify_name { typedef enum netdata_ebpf_load_mode { EBPF_LOAD_LEGACY = 1<<0, // Select legacy mode, this means we will load binaries - EBPF_LOAD_CORE = 1<<1, // When CO-RE is used, it is necessary to use the souce code + EBPF_LOAD_CORE = 1<<1, // When CO-RE is used, it is necessary to use the source code EBPF_LOAD_PLAY_DICE = 1<<2, // Take a look on environment and choose the best option EBPF_LOADED_FROM_STOCK = 1<<3, // Configuration loaded from Stock file EBPF_LOADED_FROM_USER = 1<<4 // Configuration loaded from user diff --git a/ml/README.md b/ml/README.md index b1984d2d64..7eecacfd73 100644 --- a/ml/README.md +++ b/ml/README.md @@ -189,7 +189,7 @@ This example assumes 3 child nodes [streaming](https://learn.netdata.cloud/docs/ - `anomaly detection grouping method`: The grouping method used when calculating node level anomaly rate. - `anomaly detection grouping duration`: (`60`/`900`) The duration across which to calculate the node level anomaly rate, the default of `900` means that the node level anomaly rate is calculated across a rolling 5 minute window. - `hosts to skip from training`: This parameter allows you to turn off anomaly detection for any child hosts on a parent host by defining those you would like to skip from training here. For example, a value like `dev-*` skips all hosts on a parent that begin with the "dev-" prefix. The default value of `!*` means "don't skip any". -- `charts to skip from training`: This parameter allows you to exclude certain charts from anomaly detection. By default, only netdata related charts are excluded. This is to avoid the scenario where accessing the netdata dashboard could itself tigger some anomalies if you don't access them regularly. If you want to include charts that are excluded by default, add them in small groups and then measure any impact on performance before adding additional ones. Example: If you want to include system, apps, and user charts:`!system.* !apps.* !user.* *`. +- `charts to skip from training`: This parameter allows you to exclude certain charts from anomaly detection. By default, only netdata related charts are excluded. This is to avoid the scenario where accessing the netdata dashboard could itself trigger some anomalies if you don't access them regularly. If you want to include charts that are excluded by default, add them in small groups and then measure any impact on performance before adding additional ones. Example: If you want to include system, apps, and user charts:`!system.* !apps.* !user.* *`. ## Charts diff --git a/ml/notebooks/netdata_anomaly_detection_deepdive.ipynb b/ml/notebooks/netdata_anomaly_detection_deepdive.ipynb index 8d0c0c7e59..14e4366bbf 100644 --- a/ml/notebooks/netdata_anomaly_detection_deepdive.ipynb +++ b/ml/notebooks/netdata_anomaly_detection_deepdive.ipynb @@ -309,7 +309,7 @@ }, { "data": { - "image/png": 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L7d69O1atWgWXy4W8vDwsXbo05Pa1aNECPXr0wDfffAPAHUCvXr06qu2JhFcwiYiIiIjI8dauXYsHH3wQKSkpSE9Px1tvvQUAuPbaa1FYWIj+/fsDAPbs2YObbrrJd/Xv2WefBQDceOONuP32230P+Zk8eTL++c9/oqSkBPX19bjnnnswcKD2ob8XXHAB3n//fXTu3BmTJk3CXXfdhaqqKjRp0gQzZ84EAIwYMQKXXnop8vPzcd1112HYsGEAgEcffRQjRoxAly5d0K9fP9Xljxw5Ej169MCAAQPQv39/HH/88WG37/PPP8ff//53jB8/HnV1dbjqqqswePBgXftYCyGlNHyhw4YNkzk5OYYvN5GN/XYNvlqWh2cvGYSrRxxpdXKIiIiIiHTZuHGjL4izkzvvvBPHHXccbrnlFquT4ifwKbBa58nNzY3ruzDVjqsQYrmUcpja9LyCSURERERECWno0KHIzs7GSy+9ZHVSkgYDTCIiIiIiSkjLly+3Ogkh3Xjjjbjxxht1zTNkyBB0797dlPQYhQGmTZgwUpmIiIiIKK6klEFPRiXjDBkyJK7ri+Z2Sj5FloiIiIiIYpaVlYWDBw9GFZSQ/UgpcfDgQWRlZemaj1cwbYIdPURERETkZF27dkV+fj4KCwutTgoZJCsrC127dtU1DwNMIiIiIiKKWXp6Onr06GF1MshiHCJLREREREREhmCASURERERERIZggElERERERESGYIBpE3zYFhEREREROR0DTJvhw2SJiIiIiMipGGDaDC9kEhERERGRUzHAtAm+B5OIiIiIiJyOASYREREREREZggEmERERERERGYIBJhERERERERmCAaZN8DUlRERERETkdAwwbYbP+iEiIiIiIqdigGkzvJBJREREREROxQDTJviaEiIiIiIicjoGmERERERERGQIBphERERERERkCAaYNsGnyBIRERERkdMxwLQZ3opJREREREROxQCTiIiIiIiIDMEAk4iIiIiIiAzBANNmeCsmERERERE5FQNMm+B7MImIiIiIyOkYYBIREREREZEhGGDaBF9TQkRERERETscA02Y4UpaIiIiIiJyKASYREREREREZggEmERERERERGYIBJhERERERERmCAabN8Fk/RERERETkVAwwbYLvwSQiIiIiIqdjgGkTfE0JERERERE5HQNMm+GFTCIiIiIicioGmERERERERGQIBphERERERERkCAaYREREREREZAjNAaYQIlUIsVII8YuZCSIiIiIiIiJn0nMF824AG81KCLnxYbJERERERORUmgJMIURXAGMAvG9ucoiIiIgomU1fvx+FZTVWJ8P2dhZVYOH2IquTYXvVdQ34dnk+JN8JGDdar2C+CuAhAK5QEwghbhVC5AghcgoLC41IW1JKlteU3DJxGT6cv9PqZBAREZGNVNU24NZPl+P6D5ZYnRTbO+PFubjmPe6nSJ6fuhn3f7Ma87YwPomXiAGmEOJCAAVSyuXhppNSviulHCalHNa+fXvDEkiJadamAjz5ywark0FEREQ20uC5ypR3qNLilFCiOFBWDQAoq663OCXJQ8sVzJEA/k8IkQvgKwBnCiE+MzVVRERERERE5DgRA0wp5cNSyq5Syu4ArgIwW0p5nekpIyIiIqKkxLvliJyL78EkIiIiIltIlmdRECWyND0TSynnAphrSkqIiIiIiIhMwKvi8cMrmERERERElJB4VTz+GGASEREREVFC4pXL+GOASURERERECY1XMuOHASYRERER2YrkZScix2KASURERES2IHiZiUzCPov4YYBJREREREQJiX0W8ccAk4iIiIhsgUNjiZyPASYZZuO+Ujz83Rq4XKwdiIiSxTvztuPXtfusTgYREdkEA0wyzF8/zsGXS/Owt6TK6qQQEVGcPPvbJvzj8xVWJ4MSBO/BJHI+BphERERERJSQOK4u/hhgkuF4/wQRERHFQjIsIHIsBphEREREZAuCz/wkgzFHxR8DTCIiIiIiIjIEA0yb4FAQIiIiIiJyOgaYNsOnpxERERERkVMxwLQZPiCHiIiIiMhYko3suGGAaRO8qZ2IiIjIjbEAkXMxwCTDcHgvEREREdmRYEM1bhhgEhERERERkSEYYJLhOKyFiIiIosGn6hM5HwNMm2CBSkRERERkDj7kJ34YYNpMIgwPT4RtICIiIiLn472X8ccAkwzHDiLj1DW4UF3XYHUyiIiI4opNCaL4q6lvQG29K+blMMC0GScHZ+wgMt417y1Gv0emWp0MIiIiIkpwfcdNxSnPzY55OQwwTdB97BT8+/u1uubhezBJzbLcw1YngYiIiMixeO+lPgVlNTEvgwGmSb5YstvqJFiGDywiIiKiaDAWILPwXsz4YYBJhuFVWCIiIiKyI17JjB8GmDaRCFf9EmEbiIiIiChx8Mpl/DHAtBmeA0RERERE5FQMMMkwHCJLREREhuCgKCLHYoBJREREREREhmCAaTOJcP9xImwDERERxR+bEETOxwDTJhJheCnvHyUiIiIiSm4MMMkwvHJJRERERJTcGGDaBF/xQURERERETscA02acPMzUyWknIiIi+2DHO5FzMcAkIiIiIiIiQzDAJMOxz5GIiIiI7IAD7OKPASYZhicwERERxULyiYFEjscA02bsVq6+MWcbuo+dgvoGV8RpbZZ0IiIiIkpybJ/GHwNMm7DrezBfn70NAFCrIcAkIiJ1+Ycr0X3sFMzZVGB1UoiIiEzFANMmEuFpafYMkYmIrLc6rwQA8M3yPItTQkREZC4GmDZjt1d9JELgS0RERM5it1uGiEg7BphkON6gT0RERER2YLNrN0mBASaFpefeUGG3y69ERDbB0SBE2vBMIXI+BpgUFhtFRERERESkFQNMm7Hr6FK7PuWWiMgJWIYSEVnDpk3rhMYAkzThlUwiIiIiIoqEAabNJMJtjAxFiYj8sZOOSB+eMWSUBGhaOw4DTNKEw7uIiGLHspSIiBIdA0wyDJtNRETh8UomUXh2fRYFEWnHAJMMx8qBiMgfr1wSEVGyYIBJRERkMl65JCKyFi+AxE/EAFMIkSWEWCqEWC2EWC+EeCIeCSPniseDikoq6zD86ZlYlVds/sqIiAzCK5lERPGVCA/QdBotVzBrAJwppRwMYAiA84QQJ5qaKrKNaHp74tFDtGTnQRSW1eD12dvMX1kY2wrKsXL3YUvTQETGq6ipx29r91mdDKKkJXm5KWZSSvy4ag9q611WJ8VSzErxFzHAlG7lno/pnv95qChYkvUQ1dQ3YPTL83DxmwutTgoRGWzcD+vw989XYN2eEkOXa4ehspW19eg+dgomLdttdVKIyERzNhfg7q9W4aUZm61Oii3wSmb8aLoHUwiRKoRYBaAAwAwp5RKVaW4VQuQIIXIKCwsNTiZZhSdjaFZfPSUi8+QfrgQAVNY2WJwS4xWW1QAA3piz3eKUkNIva/ZyRAwZqriyDgBQUFpjcUoo2WgKMKWUDVLKIQC6AhghhDhGZZp3pZTDpJTD2rdvb3AyySrRDSuwvoc+HrwFNxGRVrwHk0K584uVHBEDJEsTgizAobLxo+spslLKYgBzAJxnSmqIiIhshPeBEZFTsfhy42i8+NPyFNn2QohWnr+bADgbwCaT00U2o+++oeQ4k+1wLxURmcPoK412aujZKS1ERJR40jRM0wnAx0KIVLgD0q+llL+YmyxyNrZeiMjZ2IFERE7HK3dklYgBppRyDYDj4pCWpJYIPcosx4iI1NmpoWentBCFkgDNIrKJRGhjO42uezApefHkJKJkwofxEJHTse3mj51r8cMA0yYSKdOzQCOiRGFUcWanctFOaSEKxOHpxkugJmZMWPbFDwNMMoxIpCiZiIiIKAEke1zF5mn8McAkw8Tzcf7JXlgSUXwY1S6xUwPHTmkhIqLEwwCTNGFAR0TJiGUfETkd+5Qo3hhgkmHiOUSWhSURmcrgQsZO9/7YKS1EoTCfEjkXA0ybYEFKRJQE2DtGRGQJPkAqfhhgWqywrAa3fZqD8pp6APZ7NH40p6IEsGL3YVPvyWQRQYHW7SlBdV2D1cmwvfzDlThQWm11MpKXDQovu9+D+cqMLZi6bp/VybDM6rxi1De4rE5GSF/n5OH9P3aYtnx2uBM5HwNMi70+eyumrT+A39btB2Df3hW1YPGFaZtw2VsL8cacbVix+7AvNJ63uRCXvLkQHy/MjWsa442VoHXW5Bdj8/4y3+eC0mpc+L/5+Pd3ay1MlTOc8twcnPDMLKuTkXTsEtSVVNZh+voDVicjrP/O2orbP1sR9/X+b9ZWXP3uYgDAzqIK5OQeMnT5e4ursGBbUcTpLnpjAV6YttnQdRvpoclrMH7KRquTQaSb3S7iJLI0qxNA9hbuVHxjznYAQM6uwwCAozs0AwA8/au74vloYS5uHNkj7umixPd/ry8AAOROGAMAKPOMAFiVV2xVkojCskuH1J1frsAfWyMHOclg+vr9uPXT5fjjoTPQrU1TvDRji++3M16cC6CxjDHC6JfnobK2AbkTxmDIk9MxqEtLfHrLCarTrt9bath6iYjijVcwKaxY2kS7DlYalg47sssVCWpkkzY8JRDDA0OLy428Q43lcrKXYd+t2APAPbw+HiprG4fwF1fWMdAnooTFAJMME8+2ih0CCbtckSDL2+yUgBI1T6UookqWYfZl19tliJyM51X8MMAkTXhKElEyMa3Ms7gwTfarlkSUfFjsxR8DTHIkFhZERPrF833FTmHHDlQ+jISMYMe8TcmBAabNOLlSYbuFrGbmq3EouZhWnFlcTqYo1s8ym+yIpbgJkvxcZ56KPwaYZJh4tu1ZWJASr8oQacN7MIPZsfTgvWJkKGYnAM6+iOM0DDBtxq6VChsiRJSM7FomR4udMUTJg2c7WYUBJhkmnu0WFppERPqx7Axmxy4EXmkhI9gxb1sp0ToM7YwBJhElDFYdZLREa+inKGp9Xsy0LzaEyVBJfq4n+eZbggEmhWfTOs6mySKLsPIgsyRaQ5/3YAZj+UEJj+c6xRkDTNJGQ+GUaD39kbC8JkpcRl/ds0t5wXswye74NHAi52OAabBYC0bbBWk2S46XTZNFRBSW1WUXX1MSzI7hjO3aAuRszE4UZwwwDVZT79I1ve17k+1Y89qEzY9cUjKj49vlkqjVeV4ThWJkFnW5JD5fsgs19Q2a50mxe51DABJvaDYR6aOnXLcjBpgGmrpuP/o9MlXXPIFXPFmpaGOHvWSHNJCbmW3mR35chz7jfjNvBZQUjMqib8zZhsU7DgIAfl6zF//5fh3+N2ub5vlTbBZf7i+pRv7hyritb/3eElTX+TfcotklB0qrkXdIPd1l1XXYvL8siqXGR3FlLbYXlludDIqjVXnFVich4fywcg++XZ5vyrK3HihD33FT8fPqvaYsPx4YYBpo9qYDVifBNE4PfH9YuSdkY0ApJ/cQuo+dgoLSal3LH/vtGlz17qJok0c29vmS3VYngRyiuq4hKHjxMqoEfWHaZlz17mIAQGl1PQDgcGWt5vntNvTyxGdn4ZTn5sS8nAXbitB97BQcqgi9Lw5X1GLMa/PxwDerY17fCc/Mwqjn1dN9w4dLce6rvwMAFm4rwvJdh/x+/+/Mrb6/rbjfcMxr83HWS/Pivl6yzo7CCizcXmR1MvDyjC0448W5VifDEPdMWoX7DShL1KzfWwoAmLnRuXEFA0wD2a3iTmR69/Q9k1bhz28siDjdRwtzAQBLdh4KP2GAr5blYfEOffPY0dR1+/H4T+utTgYBeH7qJvywco/VySAd7f/jn5oRcRRLvGsJKSXu/molluU6v3wK5+152wEAa/eUhJymotYdkK/cXez3vdEh3grF8q95fwkufcu/8/GVmVt8f8/eVGDw2iPbU1wV93WS9fYW6+s4N8Nrs7ZiZ1GF1cmgOGCAaTHb34Opg9035WCYnm27i1cv9+2fLcdET5DtRE6/0q705tztuGfSKquTkbSi6TCsrLXfPTNlNfX4cdVe3PzRMquTEhfhysrAn+xQZ1WFuOKdzBKnFCdKXgwwDRRNZRVYGfIqqDasgIjITGZ1VpixVF3LTNAqxttZq2df8G0YlOj4yhd/3B3xwwCTNOFJaS3uf+uxoiZKTAkacxORRyKNFnQKBpgGiib/MtNHh3uNlHjln4xmVp5iTrUfdh1RomIb040dxPHHAJPIAVg0amNmHcL6KTkl2mFP1Oamb7t0HDC2vSnRMbDy55RzPhGeJ8EA01Cx51y7ZSq7pcfLDqliuU1EerHYMEd0z0AwPh1EduWQ2IoSBANM0sTJ9XAi9OAlwjY4HY8A2U00DUan9ODHk5W7hEV7MO4Tc3C3Okci3PbDAJPCsmsmt0Oq2FCzDx4LcgpmVXNpGXUTWF6w4U2Jivdg+nNK54VdRw/qwQDTZuwW0CVCJo+Glq12SkGVTMy9B5MHPJmwXeYsvJpLFExZbyVzdndqoO3MVLsxwDSQQ/OvJnZrXNsrNeZLtu0lInPYrRPTaOGqqsDf7FCt2SAJRGRTTi4fGGBSWInQGImmEeH8rSYiI9ghCKHI9FyhCJyU5T0R2UkitL0ZYBrI+dkhmJ4hsvEcgpCI+zocNnKtx0NAdsXyQZ+gK5nWJIOI4sRuo/AiSYTb0xhghvDYj+vw/h87rE6GbnUNLrhcxmTMmvqGmJdRVF6DWRsPaF5mXYMLl721EAu2FcW8bi1i2cb6BpeBKSEn0JtfXp6+GS9N3+z7XFvvclxFl+wS+daHeKhvcKHBoDpJi3CnV9CVSwOO7eq8Yt/fszYewNCnZijSEnm7WR6EZ0Q7JB7mbC5AQVm11cnw45R9l0waXBJ1OtqOdqt+auu1xxhJF2BKKTFjw4GIhfrHi3Zh/JSNmpc7e9MBQyrRwF6L12dvxU+r94adp6KmHvO3ugOy3v/5Dac8NzvmdHy/Mh99x01FXYM7PdsLK7CtoMz3u7LRHM71HyzFLR/noLquAQu3F6HvuKlYsuOg3zSb95cht6gCALD7UCVydh3Gte8vQW5RBVbnFWPa+v1B6zOiSp618QD6jpuKNfnFmudZm1+CfSVVAIBvlucbkAptEqE3yyqHK2qxdOch3fNNXeef73YdrETfcVPxTU6e5mW8Nnsb/jd7GwB3wdxn3G945lft5Uokuw5WYNP+0piW8dbc7fhuRfzystFKq+uwcLt5HVJWtf9/XbsPr8zYYvhyzQyYl+UewqGKWr/vjnl8Gk6eMEvzMhZtP6j6fUVNfdiOR+9mhTtc0RzLhduK8PhP60P+ftEbC3x/3/JxDg4GbH8i+XZ5Pt6Zt9309Sjru77jpuL7lfYvn276aBmueHuR1cnw8bZvflmzL6r5XS6Jhyav1tU+srN4jLBzuSRmhogvZm86gGd/24ibJy5D7//8pnmZdmv59Rn3Gx76do2maW0fYC7cXhRVgdZ97BSMVdkJXy3Lw98+ycGkZdobiZEs3FaEmyfm4CsDl+n14vQt+OeXK32fv8nJQ/exU/x6yu7/ejWu+2AJ9hS7A5+9JbH3ok1dt9/v8xXvLMLol3/HIz+sQ4NL+hrNSmqnrzdwbHBJX8NhSUBj/9xXf8fpL84F4N8AOP3FubjojQW47dPlquvTKtQJOndzIQBglaIHOpI/vT4fJz0bewBP8XP1e4txxTv6K/7bP/PPd1sPuDtYAs8Nrao9vclfLjWunDjthbk479U/YlrGc1M34b6vV6O4shbdx07Bp4t3GZS6+Pj7Z8txzXtLUFJZZ+hyjW6P6L1S9Y/PV+C/s7Yam4gAuw5W6moUdx87BfdOWgXA3fmZk+tfll/+9qKgc626zoUDpTWa17Foh3qAee+kVbj2/SXY66nnYuE9tloOyTXvL8HEhbkxrzMR3P/Najz726a4r3fGhgORJ7KB3IOVVifBx9u+mbelMKr5D1bU4uucfNw8cVlU80sp8eyvG7HlQFnkiRPExIW5+OsnOfhp9V7M3VyA7mOn+Lb/5ok5eGfejqiPhxGijae8vJ3ZkzVeXLF9gHnNe0uiLtDUAr59nuBrnwFBmJeRPZaRbuz92nP1JLeosSDb6rmyWFlTb1g6Qvl08S4sy1W/GqRWV/sqcoPTYXZfVKT0bi8sNzkF/jiKKrxwwcCm/cZUcLEeAt8VFpsezPzD7ob7l0t2W5wSfTZ7jm+twUPWbXqYDLc0RHkeyvcr9wBwd35ephKcbiswp2z0LreqzjnD/pIlD5mN+1E/q0c9FZXX4p3fd+Ca95ZYmo548nZ+FZTW+Dqil+86HNMyjWzrxhJPAdB9hd72AabRtAyj0cvqss/O7/dRpiyRKomSKmOvlpAx4hG8RbsG73maQKcB6WBGOR3NIm1cXcSk8apk6DMssNFt532RSPVlorNrp2Ega/K7M/aNWRySNTTRuy3JF2DauEJxunC71ugC2OxzNlI2SaRCg+KDRY+zsK5wGu0dOGa9AoB5huxMT7vF6iugZolX282ossDJRyHpAsxEZuhVWYMWZoerNqGC20QtQEldrJ0c3tljrTfYOZGc7HKVIxHerxYrb9lv9iGJZfEMVhvZ5NRJUsyIerFt6Za8AWYClVh2Pv3V0mZEeu28zRR/8RwmHv0QWe/8iVP2JAOjj5edb2mg2Bh5ZBOoiaKfw7bdjsdKLU3RFT3RbZxd67l4F7+x7gcn1xZJF2Amcu+tkYVcNIsKd+IaXQBbX3TFNwV2rMDsyOhXFPgvO9aKInHLHis57dywy5XMRKPnybDec5GxPhGZg4VL0gWYXolUxdulklSt2M14qpJy8TbZdkoeHCKbXBKtY8DuZWa0ydMynx3PPTumiahRdGdkopWbpF/SBZh6ejm1skuPtJFDEgy7B1O5TBOiTC3pjGatkeaJ9yG363ATJzFqD8a6HB5JY5kdMDl9iKxNqifNzExu4LJNvwczhhXYvSOAGtnxFLM6TXZtszitPHSypAswyTxhh8ga3UgzdGn6sYxKPoZVTMw8hjKrweCsHnhmqkZhXlPiySxOCN7YEG5k12AloSXYLrfqlE/m85gBJpnK9xRZzSeZtgmtfk1JvCVzIaVHuP0U81NkPf9Gmzec0khyRipJKycEU0pRD5HVMGNg3jZ630Rzddop5QIRadf4UL/klXQBpsPqWk28Pe12DELU6lsjK3UjlqW2CBvuSgojnsPUYx8iy9xFZIX439pA0XDafrPLbVKGMqydloitbnVO68zTTef2JV2A6ZVIjTxzMrX+/RN+iKw5NN2DacLK2VBxHrvsQ7u3RZxaRyZ85U6a2P38InIEw84je5yQ9khFcokYYAohugkh5gghNggh1gsh7jY7UTX1DahrcPl9V1FTb8iyzXjIj10YuU0zNxbonqeypiHoO7PafLEuN1J+YlvVmeoaXKipD86HgAGvKYl1iG0Cljl24vT9W13XgF/W7LU6GbYX6jhru2fW3EzCeqNRg0uiqla9LNbL7ue2HZNn2IMaEyxTx2t7Emy3RUXLFcx6APdLKQcAOBHAHUKIAWYmqu+4qTjjxbl+3w18bBp2FlX4PpdU1eHD+TtRXddYgDW4JIrKa8IuW3mPxLT1+/HsrxtRUFoddp7qugZc+tZCrMorBgAUltWgvKYeF72xAJv2l2rcKnUTF+b6ff55zV4cjLAN0ZJS4saPlmLWxgOorXdhT3EV3py7DS6XxNKdh7Bi92EUV9Zi5oYDYZdz1buLVb/foTg+aus+VFEXMY019a6QvxWWufdLSVUdqsNMF8mczQUY+Ng0zNygP4j2iibY2Ftchanr9muatrS6LmTlXFJZh+9W5Ps+v/f7Djzx83rd6UlEBytq0XfcVFPXUVbdmI+llPhy6W6/ckiN8rjHozEybf1+7C2uisOags3dXIBr3luMzxbvQn1D9OepV2FZTczBfW29C18s2Q2Xy72cg+U1fmkLd75FWnVxZS2W7zqMnNxDQb/9tnYf9pcE1y/VdQ24+t3FuOOLFb7vnvplA+78YiWWqSwnlGgeRKTWudbgkqiua8BHC3aipMo/f3+9LC9sh9zlby/UtN4pa/bh9k+X604vAHy0YGfY+kVJy7twdx2sREmlf31UqjivP1u8S1f6qusaUFJZh3pX6LVX1obeh6XVdRHLEK9F2w/iqncX+eXfgjJ3Hntlxha8PH2zxlQjaB+EkpN7COe+8rvm5QLAfV+vQv9Hg8vi6roGfLV0t22HlRaUVQelraq2wa/cdyprgkXjVlpb78Llby/E8l3ay8hAatmutLoOk5fnB/+gg/ccBIBKgzpWQjlcUYvaGNrAXmXVdfgmJ8+AFKmLGGBKKfdJKVd4/i4DsBFAF9NS5JF/OLhx9L2iUf2vyWvw5C8b0P/RqSgsq8HHC3Px3NRNGDZ+JgY9Ni3i8ncWVeC2T5fjnd934Nr3lwAAPl+yC/tK/Nf7y5q9eGPONizfdRiP/rgOuw5WYPjTM3HMY9OwOq8Yz/22KeQ63pm33deg0eqPrUUYOn4mnpvqv9zp6/fjH58vx7Lcw7qWp/Tjqr2Yu7kQt3ycg7u+XIGRE2bj+amb8e2KfFzxziJc8uZCDHlyBv76SU7U6wh02FOBSQBfLt0NwD/Izz9c6Tf9Xz5YGnJZw5+eicd+XIfBT0zHP79c6VlW5DT8vNr/qsDCbUUAgP1hOhZeilBJXxkiyFZ6/Kf1ePCb1b7Pl7y5ELd/thxf5+Rh0GPTwjYojn18Oka/PM/3WVnh3fv1Ktz39WpsKygDADz960Z8tCA35LKklDj75Xn4YeWeiGlWs25PCaau2xfVvNGQUuKjBTtVO4uKK2sxbPwMlXk0LNeg0E55Dk5dtx8Pf7cWL8/YEnae2z9bjp88+dDMhlX+4UpU1tbjtk+X4/9enx/TsqSUOOcV/fnmtk+XY+H2gxj3w7qgDjTlsrcVlEdcVm6Ru7x9748dEadVlgXec8PrnXnb8e/v12Ly8nyU19Rj6PiZeOqXDb7fj318Ovo/OhV/bC0MWt4TP6/Hic/MChkgDHlyBi59ayEue3uR3/f1DS78/fMVuPLdRUHzvDR9MxbtOIgpaxrPqz2eDgGzG7IrdhcHfffi9M0Y9Pg0PPHzBjygKLOW7DyEh75dg8d/Ct2BpVYnfb8yH+e8Ms/vuzu+WIGp67V1sA 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