From 01075ffe9b93ba795a86f4703965d8762b7e676d Mon Sep 17 00:00:00 2001 From: Ben Bond-Lamberty Date: Wed, 4 Sep 2024 13:54:37 -0400 Subject: [PATCH 1/7] Create sp-slides.qmd --- sp-slides.qmd | 51 +++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 51 insertions(+) create mode 100644 sp-slides.qmd diff --git a/sp-slides.qmd b/sp-slides.qmd new file mode 100644 index 0000000..c7d9908 --- /dev/null +++ b/sp-slides.qmd @@ -0,0 +1,51 @@ +--- +title: "sp-slides" +format: html +editor: visual +--- + +## Quarto + +Quarto enables you to weave together content and executable code into a finished document. To learn more about Quarto see . + +## Running Code + +When you click the **Render** button a document will be generated that includes both content and the output of embedded code. You can embed code like this: + +```{r} +#| include: false + +variable <- "soil_vwc" + +# Construct a "regular expression" to find the files we want: in this case, +# CSV files starting with the site code above + +# Get the names of the files we need. Note this assumes that your +# working directory is the main directory of the L1 data +files <- list.files("./", pattern = ".*L1_v1-{0-9}.csv$", recursive = TRUE, full.names = TRUE) + +# Helper function to read the files and filter to just the variable we want +# Use readr::read_csv for easy timestamp handling +# Note that we set "col_types" to force the "Plot" column to be read as a +# character; see https://github.com/COMPASS-DOE/data-workflows/issues/186 +library(readr) +f <- function(f) { + message("Reading ", basename(f)) + x <- read_csv(f, col_types = "ccTccccdccii") + x[x$research_name == variable,] +} + +# Read the files +dat <- lapply(files, f) +dat <- do.call("rbind", dat) + +``` + +You can add options to executable code like this + +```{r} +#| echo: false +2 * 2 +``` + +The `echo: false` option disables the printing of code (only output is displayed). From ed95da671166188e425f6f7e0c87879f9fe8fa52 Mon Sep 17 00:00:00 2001 From: Ben Bond-Lamberty Date: Thu, 5 Sep 2024 12:15:29 -0400 Subject: [PATCH 2/7] Start code and add figures --- sp-slides.qmd | 97 +++++++++++++++++++++++----- synoptic/docs/alice_install.jpg | Bin 0 -> 221629 bytes synoptic/docs/exchange-synoptic.png | Bin 0 -> 361815 bytes synoptic/docs/synoptic_sites.png | Bin 0 -> 287080 bytes 4 files changed, 80 insertions(+), 17 deletions(-) create mode 100644 synoptic/docs/alice_install.jpg create mode 100644 synoptic/docs/exchange-synoptic.png create mode 100644 synoptic/docs/synoptic_sites.png diff --git a/sp-slides.qmd b/sp-slides.qmd index c7d9908..c491ada 100644 --- a/sp-slides.qmd +++ b/sp-slides.qmd @@ -1,51 +1,114 @@ --- title: "sp-slides" format: html +params: + L1_DATA: "./synoptic/data/L1/" editor: visual --- -## Quarto +## Maps and figures -Quarto enables you to weave together content and executable code into a finished document. To learn more about Quarto see . +```{r prelims} +#| include: false + +library(readr) +library(dplyr) +library(tidyr) +library(lubridate) + +library(ggplot2) +theme_set(theme_bw()) +library(scales) +library(viridis) + +``` + +![Synoptic sites](synoptic/docs/synoptic_sites.png) + +![Exchange sites](synoptic/docs/exchange-synoptic.png) + +![Installation](synoptic/docs/alice_install.jpg) -## Running Code +## Data prep When you click the **Render** button a document will be generated that includes both content and the output of embedded code. You can embed code like this: -```{r} +```{r data-prep} #| include: false +#| cache: true variable <- "soil_vwc" -# Construct a "regular expression" to find the files we want: in this case, -# CSV files starting with the site code above - # Get the names of the files we need. Note this assumes that your # working directory is the main directory of the L1 data -files <- list.files("./", pattern = ".*L1_v1-{0-9}.csv$", recursive = TRUE, full.names = TRUE) +files <- list.files(params$L1_DATA, + pattern = ".*L1_v1-[0-9]\\.csv$", + recursive = TRUE, full.names = TRUE) # Helper function to read the files and filter to just the variable we want -# Use readr::read_csv for easy timestamp handling # Note that we set "col_types" to force the "Plot" column to be read as a # character; see https://github.com/COMPASS-DOE/data-workflows/issues/186 -library(readr) f <- function(f) { message("Reading ", basename(f)) x <- read_csv(f, col_types = "ccTccccdccii") - x[x$research_name == variable,] + x <- x[grep(variable, x$research_name),] + x %>% + group_by(Site, research_name) %>% + summarise(TIMESTAMP = mean(TIMESTAMP), n = n(), .groups = "drop") %>% + mutate(Date = as.Date(TIMESTAMP)) %>% + select(-TIMESTAMP) } -# Read the files +# Read the files and concatenate dat <- lapply(files, f) -dat <- do.call("rbind", dat) +dat <- bind_rows(dat) ``` -You can add options to executable code like this +## Observations over time -```{r} +```{r obs-over-time} #| echo: false -2 * 2 + +dat %>% + complete(Site, Date, research_name, fill = list(rows = 0)) %>% + group_by(Site, Date) %>% + summarise(n = sum(n, na.rm = TRUE), .groups = "drop") %>% + arrange(Date) %>% + group_by(Site) %>% + mutate(cum_n = cumsum(n)) -> + smry1 + +p1 <- ggplot(smry1, aes(Date, cum_n, fill = Site)) + + geom_area(alpha = 0.8 , linewidth = 0.5, colour = "white") + + xlab("Year") + ylab("COMPASS-FME soil moisture observations") + + scale_fill_viridis(discrete = TRUE) + + theme(axis.title = element_text(size = 14)) + + scale_y_continuous(labels = unit_format(unit = "M", scale = 1e-6)) +print(p1) + +dat %>% + complete(Site, Date, research_name, fill = list(rows = 0)) %>% + group_by(Date, research_name) %>% + summarise(n = sum(n, na.rm = TRUE), .groups = "drop") %>% + arrange(Date) %>% + group_by(research_name) %>% + mutate(cum_n = cumsum(n), + Depth = gsub("cm", " cm", substr(research_name, 10, 13)), + Depth = factor(Depth, levels = c("5 cm", "10 cm", "15 cm", "30 cm"))) -> + smry2 + +p2 <- ggplot(smry2, aes(Date, cum_n, fill = Depth)) + + geom_area(alpha = 0.8 , linewidth = 0.5, colour = "white") + + xlab("Year") + ylab("COMPASS-FME soil moisture observations") + + scale_fill_viridis(discrete = TRUE) + + theme(axis.title = element_text(size = 14)) + + scale_y_continuous(labels = unit_format(unit = "M", scale = 1e-6)) +print(p2) + + ``` -The `echo: false` option disables the printing of code (only output is displayed). +## TEROS + +dd diff --git a/synoptic/docs/alice_install.jpg b/synoptic/docs/alice_install.jpg new file mode 100644 index 0000000000000000000000000000000000000000..2dcbd92499d04e24415e6e8a64e50e445508b825 GIT binary patch literal 221629 zcmb5V@<#?){~^_PXlox7D{D0KS?sNEv{DfB;bacLClu015y!6ckhxWHeM%RCF{n zbSy$FEKE!+575P%8*K>D}Y|Lynx 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Sep 2024 14:25:59 -0400 Subject: [PATCH 4/7] Update sp-slides.qmd --- sp-slides.qmd | 25 +++++++++++++++++++++++-- 1 file changed, 23 insertions(+), 2 deletions(-) diff --git a/sp-slides.qmd b/sp-slides.qmd index c8d68c5..adaaf6d 100644 --- a/sp-slides.qmd +++ b/sp-slides.qmd @@ -20,11 +20,13 @@ library(readr) library(dplyr) library(tidyr) library(lubridate) +library(gt) library(ggplot2) theme_set(theme_bw()) library(scales) library(viridis) +library(gt) ``` ![Synoptic sites](synoptic/docs/synoptic_sites.png) @@ -69,11 +71,22 @@ dat <- bind_rows(dat) ``` +## Observations + +```{r table} +dat %>% + mutate(Year = year(Date)) %>% + group_by(Year, Site) %>% + summarise(n = sum(n, na.rm = TRUE), .groups = "drop") %>% + pivot_wider(names_from = "Year", values_from = "n", values_fill = 0) %>% + arrange(Site) %>% + gt::gt() %>% + fmt_number(suffixing = "K", decimals = 1) +``` + ## Observations over time ```{r obs-over-time} -#| echo: false - dat %>% complete(Site, Date, research_name, fill = list(rows = 0)) %>% group_by(Site, Date) %>% @@ -166,5 +179,13 @@ ggplot(full_record_vwc, aes(Date, Value, color = Depth, group = Sensor_ID)) + geom_line(na.rm = TRUE, alpha = 0.5) + ylab("TEMPEST Control - soil VWC") + ylim(c(0.1, 0.5)) + +full_record %>% + mutate(Month = month(Date)) %>% + select(-Depth) %>% + pivot_wider(names_from = "research_name", values_from = "Value") %>% + ggplot(aes(soil_temp_15cm, soil_vwc_15cm, color = Month)) + + geom_point(size = 0.4, na.rm = TRUE) + + ylim(c(0.1, 0.5)) + xlim(c(0,25)) ``` From 045165bab0c50fae5fe6a25309def9e4c04e4193 Mon Sep 17 00:00:00 2001 From: Ben Bond-Lamberty Date: Thu, 5 Sep 2024 14:53:26 -0400 Subject: [PATCH 5/7] Update sp-slides.qmd --- sp-slides.qmd | 21 ++++++++++++++------- 1 file changed, 14 insertions(+), 7 deletions(-) diff --git a/sp-slides.qmd b/sp-slides.qmd index adaaf6d..57f8cab 100644 --- a/sp-slides.qmd +++ b/sp-slides.qmd @@ -98,7 +98,7 @@ dat %>% p1 <- ggplot(smry1, aes(Date, cum_n, fill = Site)) + geom_area(alpha = 0.8 , linewidth = 0.5, colour = "white") + - xlab("Year") + ylab("COMPASS-FME soil moisture observations") + + xlab("Year") + ylab("COMPASS-FME VWC observations") + scale_fill_viridis(discrete = TRUE) + theme(axis.title = element_text(size = 14)) + scale_y_continuous(labels = unit_format(unit = "M", scale = 1e-6)) @@ -117,7 +117,7 @@ dat %>% p2 <- ggplot(smry2, aes(Date, cum_n, fill = Depth)) + geom_area(alpha = 0.8 , linewidth = 0.5, colour = "white") + - xlab("Year") + ylab("COMPASS-FME soil moisture observations") + + xlab("Year") + ylab("COMPASS-FME VWC observations") + scale_fill_viridis(discrete = TRUE) + theme(axis.title = element_text(size = 14)) + scale_y_continuous(labels = unit_format(unit = "M", scale = 1e-6)) @@ -148,19 +148,21 @@ teros_dat <- bind_rows(teros_dat) ```{r two-days} teros_dat %>% - # this shows a cool rain event around midnight on June 15 2021 filter(as.Date(TIMESTAMP) %in% c(ymd("2021-06-14"), ymd("2021-06-15"))) -> twodays twodays <- twodays[grep("soil_vwc", twodays$research_name),] +# Two days plot that shows a cool midnight rain event twodays %>% mutate(Depth = gsub("cm", " cm", substr(research_name, 10, 13)), Depth = factor(Depth, levels = c("5 cm", "10 cm", "15 cm", "30 cm"))) %>% ggplot(aes(TIMESTAMP, Value, color = Depth, group = Sensor_ID)) + geom_line(na.rm = TRUE) + scale_x_datetime(date_breaks = "1 day") + - ylab("TEMPEST Control - soil VWC") + + ylab("Soil VWC") + + theme(axis.text.x = element_text(angle = 90)) + + ggtitle("TEMPEST control plot") + facet_wrap(~Depth) ``` @@ -175,17 +177,22 @@ teros_dat %>% full_record_vwc <- full_record[grep("soil_vwc", full_record$research_name),] +# Plot complete VWC record at TEMPEST control ggplot(full_record_vwc, aes(Date, Value, color = Depth, group = Sensor_ID)) + geom_line(na.rm = TRUE, alpha = 0.5) + - ylab("TEMPEST Control - soil VWC") + - ylim(c(0.1, 0.5)) + ylab("Soil VWC") + + ylim(c(0.1, 0.5)) + + ggtitle("TEMPEST control plot, all data") +# Plot VWC versus temperature full_record %>% mutate(Month = month(Date)) %>% select(-Depth) %>% pivot_wider(names_from = "research_name", values_from = "Value") %>% ggplot(aes(soil_temp_15cm, soil_vwc_15cm, color = Month)) + geom_point(size = 0.4, na.rm = TRUE) + - ylim(c(0.1, 0.5)) + xlim(c(0,25)) + ylim(c(0.1, 0.5)) + xlim(c(0,25)) + + xlab("Soil 15 cm temperature") + ylab("Soil 15 cm VWC") + + ggtitle("TEMPEST control plot, all data") ``` From 3571fcc879a868cd5694f53917487b89681452f4 Mon Sep 17 00:00:00 2001 From: Ben Bond-Lamberty Date: Thu, 5 Sep 2024 15:31:39 -0400 Subject: [PATCH 6/7] Update sp-slides.qmd --- sp-slides.qmd | 14 ++++++++------ 1 file changed, 8 insertions(+), 6 deletions(-) diff --git a/sp-slides.qmd b/sp-slides.qmd index 57f8cab..b488b41 100644 --- a/sp-slides.qmd +++ b/sp-slides.qmd @@ -27,6 +27,11 @@ theme_set(theme_bw()) library(scales) library(viridis) library(gt) + +make_depth <- function(research_name) { + depth <- gsub("cm", " cm", substr(research_name, 10, 13)) + factor(depth, levels = c("5 cm", "10 cm", "15 cm", "30 cm")) +} ``` ![Synoptic sites](synoptic/docs/synoptic_sites.png) @@ -111,8 +116,7 @@ dat %>% arrange(Date) %>% group_by(research_name) %>% mutate(cum_n = cumsum(n), - Depth = gsub("cm", " cm", substr(research_name, 10, 13)), - Depth = factor(Depth, levels = c("5 cm", "10 cm", "15 cm", "30 cm"))) -> + Depth = make_depth(research_name)) -> smry2 p2 <- ggplot(smry2, aes(Date, cum_n, fill = Depth)) + @@ -155,8 +159,7 @@ twodays <- twodays[grep("soil_vwc", twodays$research_name),] # Two days plot that shows a cool midnight rain event twodays %>% - mutate(Depth = gsub("cm", " cm", substr(research_name, 10, 13)), - Depth = factor(Depth, levels = c("5 cm", "10 cm", "15 cm", "30 cm"))) %>% + mutate(Depth = make_depth(research_name)) %>% ggplot(aes(TIMESTAMP, Value, color = Depth, group = Sensor_ID)) + geom_line(na.rm = TRUE) + scale_x_datetime(date_breaks = "1 day") + @@ -171,8 +174,7 @@ teros_dat %>% mutate(Date = as.Date(TIMESTAMP)) %>% group_by(Sensor_ID, research_name, Date) %>% summarise(Value = mean(Value, na.rm = TRUE), .groups = "drop") %>% - mutate(Depth = gsub("cm", " cm", substr(research_name, 10, 13)), - Depth = factor(Depth, levels = c("5 cm", "10 cm", "15 cm", "30 cm"))) -> + mutate(Depth = make_depth(research_name)) -> full_record full_record_vwc <- full_record[grep("soil_vwc", full_record$research_name),] From 1580e6232161f4d8ab43ba241b1b905b956d0c7c Mon Sep 17 00:00:00 2001 From: Ben Bond-Lamberty Date: Fri, 6 Sep 2024 14:43:09 -0400 Subject: [PATCH 7/7] Update sp-slides.qmd --- sp-slides.qmd | 14 ++++++++++---- 1 file changed, 10 insertions(+), 4 deletions(-) diff --git a/sp-slides.qmd b/sp-slides.qmd index b488b41..6b054ee 100644 --- a/sp-slides.qmd +++ b/sp-slides.qmd @@ -76,7 +76,7 @@ dat <- bind_rows(dat) ``` -## Observations +## Observations (M) ```{r table} dat %>% @@ -84,9 +84,15 @@ dat %>% group_by(Year, Site) %>% summarise(n = sum(n, na.rm = TRUE), .groups = "drop") %>% pivot_wider(names_from = "Year", values_from = "n", values_fill = 0) %>% - arrange(Site) %>% + arrange(Site) -> + dat_table + +dat_table %>% gt::gt() %>% - fmt_number(suffixing = "K", decimals = 1) + grand_summary_rows(columns = which(sapply(dat_table, is.numeric)), + fmt = ~fmt_number(., scale_by = 1e-6, decimals = 2), + fns = list(label = "Totals", id = "totals", fn = "sum")) %>% + fmt_number(scale_by = 1e-6, decimals = 2) ``` ## Observations over time @@ -165,7 +171,7 @@ twodays %>% scale_x_datetime(date_breaks = "1 day") + ylab("Soil VWC") + theme(axis.text.x = element_text(angle = 90)) + - ggtitle("TEMPEST control plot") + + ggtitle("Rain event - TEMPEST control plot") + facet_wrap(~Depth) ```

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z^CJA&Pi==e|1sZ%6(coB+{1)R>joZ-&swP$DdDaYOV`wV-)GG@>ur8O&7h%D59Aq> z&(@zV@q=xuUe)6@m^jVM$^frE7JLxhb>rmm-?vmrPR6!V!tQOV!3ei@P)tsdj{k&1we0d>+GO$ zDu^iX+Kx(H%nNQf5Q8cSQ)N0_Ih!JZUNX7ec z^G-Z6;O|{+UlQj>N?tm(A3Y*kK{SbkkGBw8P}pq#+e1;=lyBk>$r#B$fETd^E(QZF z{K_lBH@BqO;%e_Az}sY1VKxy=zO3tiLy~WZ%B$^?-;ajc{+jywm#O~eOP?%oD7UcI zHPVgz-)PQ%&hqb@B%&i+7wAX;vdHHjtN+hKT`V3?Jkhmyln-T}{l`H6nSJ?})j}6; z5La*^7qa^LpOpNs%=}+p)T#JwXRN4<8tDHmA^X3MM6^RSBO&;ihQHiv7m1G~#6Nu< LL+uhx+pzxwPDEl> literal 0 HcmV?d00001 From ea7e3ce49aef51f5a4914082ffc7bc8347a9a436 Mon Sep 17 00:00:00 2001 From: Ben Bond-Lamberty Date: Thu, 5 Sep 2024 13:29:45 -0400 Subject: [PATCH 3/7] Focus on TEMPEST-C data --- .gitignore | 3 + sp-slides.qmd | 72 ++++++++++++++++-- ...-12-soil-water-potential-sensor-curved.png | Bin 0 -> 82255 bytes 3 files changed, 67 insertions(+), 8 deletions(-) create mode 100644 synoptic/docs/teros-12-soil-water-potential-sensor-curved.png diff --git a/.gitignore b/.gitignore index 0f7789d..203cd65 100644 --- a/.gitignore +++ b/.gitignore @@ -4,3 +4,6 @@ .Ruserdata .DS_Store *.dcf + +sp-slides_files/ +sp-slides_cache/ diff --git a/sp-slides.qmd b/sp-slides.qmd index c491ada..c8d68c5 100644 --- a/sp-slides.qmd +++ b/sp-slides.qmd @@ -1,8 +1,13 @@ --- title: "sp-slides" -format: html +title-block-banner: true params: L1_DATA: "./synoptic/data/L1/" +date: now +date-format: "YYYY-MM-DD HH:mm:ssZ" +format: + html: + code-fold: true editor: visual --- @@ -20,7 +25,6 @@ library(ggplot2) theme_set(theme_bw()) library(scales) library(viridis) - ``` ![Synoptic sites](synoptic/docs/synoptic_sites.png) @@ -28,10 +32,10 @@ library(viridis) ![Exchange sites](synoptic/docs/exchange-synoptic.png) ![Installation](synoptic/docs/alice_install.jpg) +![Sensor](synoptic/docs/teros-12-soil-water-potential-sensor-curved.png) -## Data prep -When you click the **Render** button a document will be generated that includes both content and the output of embedded code. You can embed code like this: +## Data prep ```{r data-prep} #| include: false @@ -48,7 +52,7 @@ files <- list.files(params$L1_DATA, # Helper function to read the files and filter to just the variable we want # Note that we set "col_types" to force the "Plot" column to be read as a # character; see https://github.com/COMPASS-DOE/data-workflows/issues/186 -f <- function(f) { +f <- function(f, variable) { message("Reading ", basename(f)) x <- read_csv(f, col_types = "ccTccccdccii") x <- x[grep(variable, x$research_name),] @@ -60,7 +64,7 @@ f <- function(f) { } # Read the files and concatenate -dat <- lapply(files, f) +dat <- lapply(files, f, variable) dat <- bind_rows(dat) ``` @@ -105,10 +109,62 @@ p2 <- ggplot(smry2, aes(Date, cum_n, fill = Depth)) + theme(axis.title = element_text(size = 14)) + scale_y_continuous(labels = unit_format(unit = "M", scale = 1e-6)) print(p2) +``` +## TEMPEST TEROS data +```{r teros-prep} +#| include: false +#| cache: true + +# Focus on TEMPEST control to show some nice time series +files <- list.files(params$L1_DATA, + pattern = "^TMP_C.*L1_v1-[0-9]\\.csv$", + recursive = TRUE, full.names = TRUE) + +f <- function(f, variable) { + message("Reading ", basename(f)) + x <- read_csv(f, col_types = "ccTccccdccii") + x[grep(variable, x$Instrument), c("TIMESTAMP", "Sensor_ID", "Value", "research_name")] +} + +# Read the files and concatenate +teros_dat <- lapply(files, f, "TEROS") +teros_dat <- bind_rows(teros_dat) +``` + +```{r two-days} +teros_dat %>% + # this shows a cool rain event around midnight on June 15 2021 + filter(as.Date(TIMESTAMP) %in% c(ymd("2021-06-14"), ymd("2021-06-15"))) -> + twodays + +twodays <- twodays[grep("soil_vwc", twodays$research_name),] + +twodays %>% + mutate(Depth = gsub("cm", " cm", substr(research_name, 10, 13)), + Depth = factor(Depth, levels = c("5 cm", "10 cm", "15 cm", "30 cm"))) %>% + ggplot(aes(TIMESTAMP, Value, color = Depth, group = Sensor_ID)) + + geom_line(na.rm = TRUE) + + scale_x_datetime(date_breaks = "1 day") + + ylab("TEMPEST Control - soil VWC") + + facet_wrap(~Depth) ``` -## TEROS +```{r teros-plot} +teros_dat %>% + mutate(Date = as.Date(TIMESTAMP)) %>% + group_by(Sensor_ID, research_name, Date) %>% + summarise(Value = mean(Value, na.rm = TRUE), .groups = "drop") %>% + mutate(Depth = gsub("cm", " cm", substr(research_name, 10, 13)), + Depth = factor(Depth, levels = c("5 cm", "10 cm", "15 cm", "30 cm"))) -> + full_record + +full_record_vwc <- full_record[grep("soil_vwc", full_record$research_name),] + +ggplot(full_record_vwc, aes(Date, Value, color = Depth, group = Sensor_ID)) + + geom_line(na.rm = TRUE, alpha = 0.5) + + ylab("TEMPEST Control - soil VWC") + + ylim(c(0.1, 0.5)) +``` -dd diff --git a/synoptic/docs/teros-12-soil-water-potential-sensor-curved.png b/synoptic/docs/teros-12-soil-water-potential-sensor-curved.png new file mode 100644 index 0000000000000000000000000000000000000000..538f796433e52a3915d2cffd21ed5ffb0a428604 GIT binary patch literal 82255 zcmeFZ^;?u()CLNO2uKM60t%>vG?LOKNP~2TG($IxfPjD!f}}KvbjQ#oAku@x&?Vg+ zl4lRT-}k-m`3ueuN9MX_7@lW8d+ojUihJG5kIIU#aIwj;QBY8DWu#xKprG7pMnORn z$3z3)1pirS0&l3!DzC&*iu)g~fnSu(v}DW`6i^t!XG|0{R6>+n$V#NiI##gwS>Ks88r_p zJ1hGWVQgw@YC$JcbAFYVQvcizeiM3P>EhzR&&KBN?#}AY$!hOp!S}ls>?7?E^{Pgc2|1-`@GiMVgD+d=Vdpm06xW;enU0sBpJV8F_fB*fRr;C;O z|2@gh`5&=>fNaRWusvsGXZzo=!L5SGZ~2v+tjxfZk>d+L7reRhKi~cH96>hZ!~Zpz zzmnd33q%#h7G(S1WfR6GGnl`Ff+C6{^HNOB19fv6tHD6sd*?dpeFBQHEcIg|tV}hB zn%qh>ywNf|^;GJ@zGyKk8gJeCTyC-;4hH zMT(y7`io9MoErV#FAU7~)B|?{w8#H?O%r|)a+hP=`uBC>)W^xqegv5RdacHZZr19m zSdsqc=CYLw-2Xnf8vPA?I!d@do~f;@@+_^s~ciPpzkob^FiF1knE3{|t}mB1e5Z#gbQf_g{ixf+t*I z{73q9U9_?lJDDu~f3GNV>3ILOZs1Y>|I+<`bm_)$&=Ezt)nwaIx^+nkJjEY@@JIefN~c@^F&TWgA!_s!jE@+oWCn7SBfY zR`u+RuRUx;BX;LGWyM=*ss-Vt;KS4ag4J7SAB9f7OZ4CWy9PmzMQPUxG0W7j$QzfN z{H~RCjpxXQEO2O;OLSkECKWtlgm_NcR!{q!Z^i4ojVtg@f3xwu`m-|Yxsu{O?b9(bo~*y9ywt?=jHAC zohG>O`DSSw-m&v?@3>V?ikb%gR^#j1Z**@+`t+yttv`^Fi4OU^_2uK5&L%)>Q~<|y z63$!k_q;y%C^}wB5+E4mJp-L>)U|KqUT8R~(q(JdZ7nEisypVLa%fZ6)c*n5X*#zf z6oep{Tk8(`1yo0BomcW{z87eg6xVBTNX1V3?_f(p3N7B~A7PKA^5birhmqlxG#=}S zS@y;F*85PDURVtsmW+c%UEb`DWx{_kheBs7u-kHrl+B>Qw2LrDueDRZ;9Ba0xVtAB zS7odM-|som2cZZueO8ZJg8G&(vJ+ z4}PUq<(Dsn+K-Jh4D0e5SJ~3yQc-bzi#*t2OXG!_PPdmHMJ4*!HT^NCETl?NqcG#| ziLh<$=r6Z$G>hwvb=^Q5zD{FW-_<@M?{p?o?U zP(LZMX^ao)$Tm||e2gxhE(a_xt5}xyU&W7k+#+_{C67K{ovuc(oJ^?bzE0EX*U+o; z=4;(A+AiY^lwB`Z;Aw`x+Q zhh7y)kk+M?VT=54gz z2+KiP!mf-w`b=WZ1c@CE2(K#%{n}$ z&FdKq46ODA?Oz9eNQa8iu*EZ(dX+L{X7+YPVD@pJc!i#J7^1+3EM?DyFgBuCf&U3hJ;tuW1Csxm#^N5A^mu zyLEW#k@?WAyY7~YBfSqEp4lqTuVAZDzO zt46PyS)cREnVriSqSW2@o(Ich6{)Z;612wybOcblA!)vwSioqXFx?%4SDIHKSPuKP z2GXt|#hg8#IYEa=ng;4KN&3+_DJOY78k8l&Q=qp_>c~683XKbQPOthmnlKo? 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