From cf96e34b3ce44a4c07d7d4cb38911fe33fd11633 Mon Sep 17 00:00:00 2001
From: Alex McLarty <alexjmclarty@gmail.com>
Date: Mon, 8 Jan 2024 19:46:55 +0000
Subject: [PATCH 1/2] Change link from t2 instances to generic burstable page.
 Save a redirect!

---
 in/index.html.mako | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/in/index.html.mako b/in/index.html.mako
index 9917f0e..276a21b 100644
--- a/in/index.html.mako
+++ b/in/index.html.mako
@@ -298,7 +298,7 @@
                 % if inst['base_performance']:
                 <span sort="${inst['base_performance']}">
                   <abbr title="For T2 instances, the 100% unit represents a High Frequency Intel Xeon Processors with Turbo up to 3.3GHz.">
-                  <a href="https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/t2-instances.html" target="_blank">Base performance:
+                  <a href="https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/burstable-performance-instances.html" target="_blank">Base performance:
                   ${"%g" % (inst['base_performance'] * 100,)}%
                   </a></abbr>
                 </span>
@@ -314,7 +314,7 @@
                 ${inst['vCPU']} vCPUs
                   % if inst['burst_minutes']:
                   <abbr title="Given that a CPU Credit represents the performance of a full CPU core for one minute, the maximum credit balance is converted to CPU burst minutes per day by dividing it by the number of vCPUs.">
-                  <a href="https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/t2-instances.html" target="_blank">
+                  <a href="https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/burstable-performance-instances.html" target="_blank">
                   for a
                   ${"%gh %gm" % divmod(inst['burst_minutes'], 60)}
                   burst

From 7a5ae575f5c47b1629bea5132f3144e2c087bdea Mon Sep 17 00:00:00 2001
From: Everett Berry <everett@vantage.sh>
Date: Tue, 9 Jan 2024 21:30:18 -0500
Subject: [PATCH 2/2] linter

---
 ec2.py    | 7 +++++--
 render.py | 2 +-
 scrape.py | 4 ++--
 3 files changed, 8 insertions(+), 5 deletions(-)

diff --git a/ec2.py b/ec2.py
index 67b5dec..dc58574 100644
--- a/ec2.py
+++ b/ec2.py
@@ -47,7 +47,6 @@ def translate_platform_name(operating_system, preinstalled_software):
     return platform
 
 
-
 # Translate between the API and what is used locally
 def translate_reserved_terms(term_attributes):
     lease_contract_length = term_attributes.get("LeaseContractLength")
@@ -308,7 +307,11 @@ def add_spot_pricing(imap):
                         }
 
         except botocore.exceptions.ClientError:
-            print('WARNING: Spot region "{}" not enabled. Falling back to spot advisor.'.format(region))
+            print(
+                'WARNING: Spot region "{}" not enabled. Falling back to spot advisor.'.format(
+                    region
+                )
+            )
             pass
 
 
diff --git a/render.py b/render.py
index 10a68a2..4c3ffce 100644
--- a/render.py
+++ b/render.py
@@ -289,7 +289,7 @@ def render(data_file, template_file, destination_file, detail_pages=True):
 
 if __name__ == "__main__":
     sitemap = []
-    sitemap.extend(render("www/instances.json", "in/index.html.mako", "www/index.html", False))
+    sitemap.extend(render("www/instances.json", "in/index.html.mako", "www/index.html"))
     sitemap.extend(
         render("www/rds/instances.json", "in/rds.html.mako", "www/rds/index.html")
     )
diff --git a/scrape.py b/scrape.py
index 7d2c0c4..04af80b 100755
--- a/scrape.py
+++ b/scrape.py
@@ -805,14 +805,14 @@ def add_gpu_info(instances):
         },
         "g5.xlarge": {
             "gpu_model": "NVIDIA A10G",
-            "compute_capability": 8.6, 
+            "compute_capability": 8.6,
             "gpu_count": 1,
             "cuda_cores": 9616,
             "gpu_memory": 24,
         },
         "g5.2xlarge": {
             "gpu_model": "NVIDIA A10G",
-            "compute_capability": 8.6, 
+            "compute_capability": 8.6,
             "gpu_count": 1,
             "cuda_cores": 9616,
             "gpu_memory": 24,