From 1e5db5664f6d5e492d23191bb4639efe72fb1af9 Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Tue, 1 Aug 2023 06:19:44 +0000
Subject: [PATCH 1/3] [pre-commit.ci] pre-commit autoupdate
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

updates:
- [github.com/PyCQA/flake8: 6.0.0 → 6.1.0](https://github.com/PyCQA/flake8/compare/6.0.0...6.1.0)
---
 .pre-commit-config.yaml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index ef73da5..52c432b 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -26,7 +26,7 @@ repos:
   hooks:
   - id: isort
 - repo: https://github.com/PyCQA/flake8
-  rev: 6.0.0
+  rev: 6.1.0
   hooks:
   - id: flake8
     additional_dependencies:

From 2ce1123912de43aed0299f999937c79cfe296b69 Mon Sep 17 00:00:00 2001
From: Casper da Costa-Luis <casper.dcl@physics.org>
Date: Tue, 1 Aug 2023 14:29:15 +0100
Subject: [PATCH 2/3] tests: faster flake8

---
 .pre-commit-config.yaml | 1 +
 1 file changed, 1 insertion(+)

diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 52c432b..615679d 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -29,6 +29,7 @@ repos:
   rev: 6.1.0
   hooks:
   - id: flake8
+    args: [-j8]
     additional_dependencies:
     - flake8-broken-line
     - flake8-bugbear

From e30ffb977c614425f4ebb21c241ec6a3f8766bce Mon Sep 17 00:00:00 2001
From: Casper da Costa-Luis <casper.dcl@physics.org>
Date: Tue, 1 Aug 2023 14:29:36 +0100
Subject: [PATCH 3/3] tests: fix flake8

---
 ebd-all-minilm/routes.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/ebd-all-minilm/routes.py b/ebd-all-minilm/routes.py
index 31dbc05..90b8884 100644
--- a/ebd-all-minilm/routes.py
+++ b/ebd-all-minilm/routes.py
@@ -57,7 +57,7 @@ async def embeddings(body: EmbeddingsInput):
     "/engines/text-embedding-ada-002/embeddings", response_model=EmbeddingsResponse
 )
 async def embeddings_openai(body: EmbeddingsInput):
-    if len(body.input) > 0 and type(body.input[0]) == list:
+    if len(body.input) > 0 and isinstance(body.input[0], list):
         encoding = tiktoken.model.encoding_for_model("text-embedding-ada-002")
         texts = encoding.decode_batch(body.input)
     else: