chore: fix a large number of spelling issues

Makefile

@@ -303,7 +303,7 @@ pytest_no_flaky: check_current_flaky_tests
 	echo "Warning: known flaky tests are skipped and coverage is disabled"
 	"$(MAKE)" pytest_internal_parallel PYTEST_OPTIONS="--no-flaky ${PYTEST_OPTIONS}"
 
-# Runnning latest failed tests works by accessing pytest's cache. It is therefore recommended to
+# Running latest failed tests works by accessing pytest's cache. It is therefore recommended to
 # call '--cache-clear' when calling the previous pytest run. 
 # --cov PATH is the directory PATH to consider for coverage. Default to SRC_DIR=src
 # --cov-append is to make the coverage of the previous pytest run to also consider the tests that are
@@ -328,7 +328,7 @@ pytest_run_last_failed:
 .PHONY: pytest_one # Run pytest on a single file or directory (TEST)
 pytest_one:
 	@if [[ "$$TEST" == "" ]]; then \
-		echo "TEST env variable is empty. Please specifcy which tests to run or use 'make pytest' instead.";\
+		echo "TEST env variable is empty. Please specify which tests to run or use 'make pytest' instead.";\
 		exit 1; \
 	fi
 
@@ -746,7 +746,7 @@ check_links:
 	@# Check that no links target the main branch, some internal repositories (Concrete ML or Concrete) or our internal GitBook
 	./script/make_utils/check_internal_links.sh
 
-	@# To avoid some issues with priviledges and linkcheckmd
+	@# To avoid some issues with privileges and linkcheckmd
 	find docs/ -name "*.md" -type f | xargs chmod +r
 
 	@# Run linkcheck on markdown files to check only local files

docker/Dockerfile.dev

@@ -27,7 +27,7 @@ RUN userdel -f -r ubuntu; exit 0
 # Create dev_user and add it to relevant groups
 # Create /src and make the dev user own it
 # Ensure sudo group users are not asked for a password when using
-# sudo command by ammending sudoers file
+# sudo command by amending sudoers file
 
 RUN groupadd -f -g "${BUILD_GID}" dev_user && \
     adduser --disabled-password \

use_case_examples/disease_prediction/preprocessing.py

@@ -77,7 +77,7 @@ def prepare_data():
     df_test["anxiety"] = (df_test["depression"] == 1) | (df_test["anxiety"] == 1)
     df_test["anxiety"] = df_test["anxiety"].astype(int)
 
-    # Remove unseless columns
+    # Remove useless columns
     df_train.drop(columns=DROP_COLUMNS, axis=1, errors="ignore", inplace=True)
     df_test.drop(columns=DROP_COLUMNS, axis=1, errors="ignore", inplace=True)
 

use_case_examples/federated_learning/federated_utils.py

@@ -214,7 +214,7 @@
 
 
 def get_model_parameters(model: LogisticRegression) -> LogRegParams:
-    """Returns the paramters of a sklearn LogisticRegression model."""
+    """Returns the parameters of a sklearn LogisticRegression model."""
     if model.fit_intercept:
         params = [
             model.coef_,

use_case_examples/llm/preprocessor.py

@@ -148,7 +148,7 @@ def apply(self, graph: Graph):
             # Predecessor nodes of LUT node
             pred_nodes = graph.ordered_preds_of(tlu_node)
 
-            # Only take into accound predecessor's that aren't constants
+            # Only take into account predecessor's that aren't constants
             variable_input_indices = []
             for pred_index, pred_node in enumerate(pred_nodes):
                 if pred_node.operation != Operation.Constant:

use_case_examples/tfhers_interoperability/README.md

@@ -1,4 +1,4 @@
-# Private Authentification in FHE
+# Private Authentication in FHE
 
 This folder contains an example that shows how to combine Concrete ML and TFHE-rs workflows through a privacy-preserving, server-side authentication scenario. In this example, access to a remote server is granted via a token, only if the client's encrypted information meets specific criteria. The returned token thus serves as proof of successful authentication — all without ever exposing any sensitive data.