New translations en.json (Portuguese, Brazilian)

translations/pt_BR.json

@@ -666,9 +666,9 @@
     "Data writes not enabled": "Data writes not enabled",
     "Color prediction lines": "Color prediction lines",
     "Release Notes": "Release Notes",
-    "Check for Updates": "Check for Updates",
+    "Check for Updates": "Verifique as Atualizações",
     "Open Source": "Open Source",
-    "Nightscout Info": "Nightscout Info",
+    "Nightscout Info": "Informação Do NIghtscount",
     "The primary purpose of Loopalyzer is to visualise how the Loop closed loop system performs. It may work with other setups as well, both closed and open loop, and non loop. However depending on which uploader you use, how frequent it is able to capture your data and upload, and how it is able to backfill missing data some graphs may have gaps or even be completely empty. Always ensure the graphs look reasonable. Best is to view one day at a time and scroll through a number of days first to see.": "The primary purpose of Loopalyzer is to visualise how the Loop closed loop system performs. It may work with other setups as well, both closed and open loop, and non loop. However depending on which uploader you use, how frequent it is able to capture your data and upload, and how it is able to backfill missing data some graphs may have gaps or even be completely empty. Always ensure the graphs look reasonable. Best is to view one day at a time and scroll through a number of days first to see.",
     "Loopalyzer includes a time shift feature. If you for example have breakfast at 07:00 one day and at 08:00 the day after your average blood glucose curve these two days will most likely look flattened and not show the actual response after a breakfast. Time shift will compute the average time these meals were eaten and then shift all data (carbs, insulin, basal etc.) during both days the corresponding time difference so that both meals align with the average meal start time.": "Loopalyzer includes a time shift feature. If you for example have breakfast at 07:00 one day and at 08:00 the day after your average blood glucose curve these two days will most likely look flattened and not show the actual response after a breakfast. Time shift will compute the average time these meals were eaten and then shift all data (carbs, insulin, basal etc.) during both days the corresponding time difference so that both meals align with the average meal start time.",
     "In this example all data from first day is pushed 30 minutes forward in time and all data from second day 30 minutes backward in time so it appears as if you had had breakfast at 07:30 both days. This allows you to see your actual average blood glucose response from a meal.": "In this example all data from first day is pushed 30 minutes forward in time and all data from second day 30 minutes backward in time so it appears as if you had had breakfast at 07:30 both days. This allows you to see your actual average blood glucose response from a meal.",
@@ -688,7 +688,7 @@
     "view without token": "view without token",
     "Remove stored token": "Remove stored token",
     "Weekly Distribution": "Weekly Distribution",
-    "Failed authentication": "Failed authentication",
+    "Failed authentication": "Falha Na Autenticação ",
     "A device at IP address %1 attempted authenticating with Nightscout with wrong credentials. Check if you have an uploader setup with wrong API_SECRET or token?": "A device at IP address %1 attempted authenticating with Nightscout with wrong credentials. Check if you have an uploader setup with wrong API_SECRET or token?",
     "Default (with leading zero and U)": "Padrão (com zero a esquerda e U)",
     "Concise (with U, without leading zero)": "Conciso (com U, sem zero à esquerda)",