Fix typos in files (#32392)

praasz · web-flow · commit 416707060ffc · 2025-10-14T09:26:06.000Z
### Details: - This is re-open of PR #30559 ### Tickets: - N/A Signed-off-by: Raasz, Pawel <pawel.raasz@intel.com>
diff --git a/cmake/developer_package/compile_flags/functions.cmake b/cmake/developer_package/compile_flags/functions.cmake
@@ -10,7 +10,7 @@ include(CheckCXXSourceCompiles)
 # ov_disable_deprecated_warnings()
 #
 # Disables deprecated warnings generation in current scope (directory, function)
-# Defines ov_c_cxx_deprecated varaible which contains C / C++ compiler flags
+# Defines ov_c_cxx_deprecated variable which contains C / C++ compiler flags
 #
 macro(ov_disable_deprecated_warnings)
     if(CMAKE_CXX_COMPILER_ID STREQUAL "MSVC")
@@ -37,7 +37,7 @@ endmacro()
 # ov_deprecated_no_errors()
 #
 # Don't threat deprecated warnings as errors in current scope (directory, function)
-# Defines ov_c_cxx_deprecated_no_errors varaible which contains C / C++ compiler flags
+# Defines ov_c_cxx_deprecated_no_errors variable which contains C / C++ compiler flags
 #
 macro(ov_deprecated_no_errors)
     if(CMAKE_CXX_COMPILER_ID STREQUAL "MSVC")
diff --git a/cmake/developer_package/cross_compile/find_commands.cmake b/cmake/developer_package/cross_compile/find_commands.cmake
@@ -46,7 +46,7 @@ if(CMAKE_CROSSCOMPILING AND NOT (OV_ARCH STREQUAL OV_HOST_ARCH AND
         # ov_set_if_not_defined(CMAKE_FIND_ROOT_PATH "/usr")
     endif()
 
-    # controling CMAKE_FIND_ROOT_PATH usage
+    # controlling CMAKE_FIND_ROOT_PATH usage
     ov_set_if_not_defined(CMAKE_FIND_ROOT_PATH_MODE_PROGRAM NEVER)
     ov_set_if_not_defined(CMAKE_FIND_ROOT_PATH_MODE_LIBRARY ONLY)
     ov_set_if_not_defined(CMAKE_FIND_ROOT_PATH_MODE_INCLUDE ONLY)
diff --git a/cmake/developer_package/download/download_and_extract.cmake b/cmake/developer_package/download/download_and_extract.cmake
@@ -35,7 +35,7 @@ function (GetNameAndUrlToDownload name url archive_name_unified archive_name_win
   endif()
 endfunction(GetNameAndUrlToDownload)
 
-#download from paltform specific folder from share server
+#download from platform specific folder from share server
 function (DownloadAndExtractPlatformSpecific
   component
   archive_name_unified
@@ -113,7 +113,7 @@ function (ExtractWithVersion URL archive_path unpacked_path folder result files_
 endfunction (ExtractWithVersion)
 
 function (DownloadOrExtractInternal URL archive_path unpacked_path folder fattal resultExt sha256 files_to_extract)
-  debug_message("checking wether archive downloaded : ${archive_path}")
+  debug_message("checking whether archive downloaded : ${archive_path}")
   set (downloadStatus "NOTOK")
   if (NOT EXISTS ${archive_path})
     DownloadAndExtractInternal(${URL} ${archive_path} ${unpacked_path} ${folder} ${fattal} result ${sha256} ${files_to_extract})
diff --git a/cmake/developer_package/packaging/packaging.cmake b/cmake/developer_package/packaging/packaging.cmake
@@ -217,7 +217,7 @@ function(ov_check_conflicts_versions var_name)
 
     # perform check
     if(NOT ov_prev_version IN_LIST ${var_name})
-        message(FATAL_ERROR "List ${var_name} (${${var_name}}) does not contain verison ${ov_prev_version}")
+        message(FATAL_ERROR "List ${var_name} (${${var_name}}) does not contain version ${ov_prev_version}")
     endif()
 endfunction()
 
diff --git a/cmake/developer_package/python_requirements.cmake b/cmake/developer_package/python_requirements.cmake
@@ -17,7 +17,7 @@ function(ov_check_pip_package)
         )
     set(oneValueRequiredArgs
         REQUIREMENT             # Requirement-specifier to check
-        RESULT_VAR              # Result varibale to set return code {ON | OFF}
+        RESULT_VAR              # Result variable to set return code {ON | OFF}
         )
     set(multiValueArgs)
 
@@ -75,7 +75,7 @@ function(ov_check_pip_packages)
         )
     set(oneValueRequiredArgs
         REQUIREMENTS_FILE       # File with requirement-specifiers to check
-        RESULT_VAR              # Result varibale to set return code {ON | OFF}
+        RESULT_VAR              # Result variable to set return code {ON | OFF}
         )
     set(multiValueArgs)
 
diff --git a/cmake/developer_package/tbb/win/TBBConfig.cmake b/cmake/developer_package/tbb/win/TBBConfig.cmake
@@ -64,7 +64,7 @@ if (WINDOWS_STORE)
     set(_tbb_compiler_subdir ${_tbb_compiler_subdir}_ui)
 endif()
 
-#set conveniance variable to locate TBB files (these are used for a PSXE install)
+#set convenience variable to locate TBB files (these are used for a PSXE install)
 get_filename_component(_tbb_lib_path "${_tbb_root}/lib/${_tbb_arch_subdir}/${_tbb_compiler_subdir}" ABSOLUTE)
 get_filename_component(_tbb_inc_path "${_tbb_root}/include/" ABSOLUTE)
 
diff --git a/cmake/packaging/debian.cmake b/cmake/packaging/debian.cmake
@@ -208,7 +208,7 @@ macro(ov_cpack_settings)
         set(npu_copyright "generic")
 
         # NPU plugin also builds level-zero as thirdparty
-        # let's add it to the list of dependency search directories to avoid missing dependncy on libze_loader.so.1
+        # let's add it to the list of dependency search directories to avoid missing dependency on libze_loader.so.1
         if(OV_GENERATOR_MULTI_CONFIG)
             # $<CONFIG> generator expression does not work in this place, have to add all possible configs
             foreach(config IN LISTS CMAKE_CONFIGURATION_TYPES)
@@ -441,7 +441,7 @@ macro(ov_cpack_settings)
     # Install latest symlink packages
     #
 
-    # NOTE: we expicitly don't add runtime latest packages
+    # NOTE: we explicitly don't add runtime latest packages
     # since a user needs to depend on specific VERSIONED runtime package
     # with fixed SONAMEs, while latest package can be updated multiple times
     # ov_debian_add_latest_component(libraries)
diff --git a/cmake/packaging/rpm.cmake b/cmake/packaging/rpm.cmake
@@ -407,7 +407,7 @@ macro(ov_cpack_settings)
     # Install latest symlink packages
     #
 
-    # NOTE: we expicitly don't add runtime latest packages
+    # NOTE: we explicitly don't add runtime latest packages
     # since a user needs to depend on specific VERSIONED runtime package
     # with fixed SONAMEs, while latest package can be updated multiple times
     # ov_rpm_add_latest_component(libraries)
diff --git a/docs/articles_en/assets/snippets/gpu/queue_sharing.cpp b/docs/articles_en/assets/snippets/gpu/queue_sharing.cpp
@@ -59,7 +59,7 @@ int main() {
     infer_request.start_async();
 
     // execute some postprocessing kernel.
-    // infer_request.wait() is not called, synchonization between inference and post-processing is done via
+    // infer_request.wait() is not called, synchronization between inference and post-processing is done via
     // enqueueBarrierWithWaitList call.
     cl::Kernel kernel_postproc(program, "user_kernel_postproc");
     kernel_postproc.setArg(0, shared_out_buffer);
diff --git a/docs/articles_en/assets/snippets/main.py b/docs/articles_en/assets/snippets/main.py
@@ -27,7 +27,7 @@ def import_python_modules(directory, subdirectory=""):
             except AttributeError as e:
                 pass
 
-            print(f"Snippet {item} succesfully executed.")
+            print(f"Snippet {item} successfully executed.")
 
 
         if os.path.isdir(os.path.join(directory, item)):
diff --git a/docs/articles_en/assets/snippets/ov_properties_api.cpp b/docs/articles_en/assets/snippets/ov_properties_api.cpp
@@ -35,7 +35,7 @@ auto nireq = compiled_model.get_property(ov::optimal_number_of_infer_requests);
 core.set_property("CPU", ov::hint::performance_mode(ov::hint::PerformanceMode::LATENCY));
 // compiled with latency configuration hint
 auto compiled_model_latency = core.compile_model(model, "CPU");
-// compiled with overriden ov::hint::performance_mode value
+// compiled with overridden ov::hint::performance_mode value
 auto compiled_model_thrp = core.compile_model(model, "CPU",
     ov::hint::performance_mode(ov::hint::PerformanceMode::THROUGHPUT));
 //! [core_set_property_then_compile]
diff --git a/docs/articles_en/assets/snippets/ov_properties_api.py b/docs/articles_en/assets/snippets/ov_properties_api.py
@@ -42,7 +42,7 @@ def main():
     core.set_property("CPU", {hints.performance_mode: hints.PerformanceMode.LATENCY})
     # compiled with latency configuration hint
     compiled_model_latency = core.compile_model(model, "CPU")
-    # compiled with overriden performance hint value
+    # compiled with overridden performance hint value
     config = {hints.performance_mode: hints.PerformanceMode.THROUGHPUT}
     compiled_model_thrp = core.compile_model(model, "CPU", config)
     # [core_set_property_then_compile]
diff --git a/docs/articles_en/documentation/openvino-extensibility/openvino-plugin-library/advanced-guides/low-precision-transformations.rst b/docs/articles_en/documentation/openvino-extensibility/openvino-plugin-library/advanced-guides/low-precision-transformations.rst
@@ -421,7 +421,7 @@ If LPT input model operation output has ``fp16`` precision then dequantization c
 Customization
 #############
 
-Low Precision Transformations can be customizable. Build-in customization options:
+Low Precision Transformations can be customizable. Built-in customization options:
 
 * operation precision restrictions,
 * operation per tensor quantization restrictions,
diff --git a/docs/articles_en/documentation/openvino-ir-format/operation-sets/operation-specs/detection/roi-align-rotated-15.rst b/docs/articles_en/documentation/openvino-ir-format/operation-sets/operation-specs/detection/roi-align-rotated-15.rst
@@ -27,7 +27,7 @@ ROIAlignRotated
 The 4 points used for bilinear interpolation are calculated as the closest integer coordinates to the sample point.
 As an example, if the sample point is [2.14, 3.56], then the 4 integer points are [2, 3], [2, 4], [3, 3], [3, 4].
 
-Each ROI box's center is shifted by [-0.5, -0.5] before pooling to achive better alignment with the closest integer coordinates used for bilinear filtering.
+Each ROI box's center is shifted by [-0.5, -0.5] before pooling to achieve better alignment with the closest integer coordinates used for bilinear filtering.
 
 **Attributes**
 
diff --git a/docs/articles_en/documentation/openvino-ir-format/operation-sets/operation-specs/sequence/gru-cell-3.rst b/docs/articles_en/documentation/openvino-ir-format/operation-sets/operation-specs/sequence/gru-cell-3.rst
@@ -12,7 +12,7 @@ GRUCell
 
 **Short description**: *GRUCell* represents a single GRU Cell that computes the output using the formula described in the `paper <https://arxiv.org/abs/1406.1078>`__.
 
-**Detailed description**: *GRUCell* computes the output *Ht* for the current time step based on the followint formula:
+**Detailed description**: *GRUCell* computes the output *Ht* for the current time step based on the following formula:
 
 .. code-block:: sh
 
diff --git a/docs/articles_en/get-started/learn-openvino/openvino-samples/benchmark-tool.rst b/docs/articles_en/get-started/learn-openvino/openvino-samples/benchmark-tool.rst
@@ -390,7 +390,7 @@ available options and parameters:
                                     Optional. Batch size value. If not specified, the batch size value is determined from Intermediate Representation
 
               -shape SHAPE          Optional. Set shape for input. For example, "input1[1,3,224,224],input2[1,4]" or "[1,3,224,224]" in case of one input size. This parameter
-                                    affect model Parameter shape, can be dynamic. For dynamic dimesions use symbol `?`, `-1` or range `low.. up`.
+                                    affect model Parameter shape, can be dynamic. For dynamic dimensions use symbol `?`, `-1` or range `low.. up`.
 
               -data_shape DATA_SHAPE
                                     Optional. Optional if model shapes are all static (original ones or set by -shape).Required if at least one input shape is dynamic and input
@@ -528,7 +528,7 @@ available options and parameters:
                 -h, --help                    Print the usage message
                 -m  <path>                    Required. Path to an .xml/.onnx file with a trained model or to a .blob files with a trained compiled model.
                 -i  <path>                    Optional. Path to a folder with images and/or binaries or to specific image or binary file.
-                                          In case of dynamic shapes models with several inputs provide the same number of files for each input (except cases with single file for any input)   :"input1:1.jpg input2:1.bin", "input1:1.bin,2.bin input2:3.bin input3:4.bin,5.bin ". Also you can pass specific keys for inputs: "random" - for    fillling input with random data, "image_info" - for filling input with image size.
+                                          In case of dynamic shapes models with several inputs provide the same number of files for each input (except cases with single file for any input)   :"input1:1.jpg input2:1.bin", "input1:1.bin,2.bin input2:3.bin input3:4.bin,5.bin ". Also you can pass specific keys for inputs: "random" - for    filling input with random data, "image_info" - for filling input with image size.
                                           You should specify either one files set to be used for all inputs (without providing input names) or separate files sets for every input of model    (providing inputs names).
                                           Currently supported data types: bmp, bin, npy.
                                           If OPENCV is enabled, this functionality is extended with the following data types:
@@ -542,7 +542,7 @@ available options and parameters:
                                           Using explicit 'nstreams' or other device-specific options, please set hint to 'none'
                 -niter  <integer>             Optional. Number of iterations. If not specified, the number of iterations is calculated depending on a device.
                 -max_irate <float>            Optional. Maximum inference rate by frame per second.
-                                          If not specified, default value is 0, the inference will run at maximium rate depending on a device capabilities.
+                                          If not specified, default value is 0, the inference will run at maximum rate depending on a device capabilities.
                                           Tweaking this value allow better accuracy in power usage measurement by limiting the execution.
                 -t                            Optional. Time in seconds to execute topology.
 
diff --git a/docs/articles_en/openvino-workflow/model-optimization-guide/compressing-models-during-training/filter-pruning.rst b/docs/articles_en/openvino-workflow/model-optimization-guide/compressing-models-during-training/filter-pruning.rst
@@ -231,7 +231,7 @@ For more details, see the following `documentation <https://github.com/openvinot
 Deploying pruned model
 ######################
 
-The pruned model requres an extra step that should be done to get performance improvement. This step involves removal of the
+The pruned model requires an extra step that should be done to get performance improvement. This step involves removal of the
 zero filters from the model. This is done at the model conversion step using  :doc:`model conversion API <../../model-preparation>` tool when model is converted from the framework representation (ONNX, TensorFlow, etc.) to OpenVINO Intermediate Representation.
 
 * To remove zero filters from the pruned model add the following parameter to the model conversion command: ``transform=Pruning``
diff --git a/docs/articles_en/openvino-workflow/running-inference/optimize-inference/optimizing-memory-usage.rst b/docs/articles_en/openvino-workflow/running-inference/optimize-inference/optimizing-memory-usage.rst
@@ -41,7 +41,7 @@ The most RAM-consuming OpenVINO stage is model compilation. It may cause several
     pressure, the following options are available:
 
     * Apply ``malloc_trim(0)``. The function attempts to release free memory even from thread
-      caches, so it may signifficantly decrease and stabilize VMRSS usage
+      caches, so it may significantly decrease and stabilize VMRSS usage
 
     * Use glibc ``Tunables``. A couple of promising options are:
       ``glibc.malloc.trim_threshold`` and `glibc.malloc.arena_max`.
diff --git a/docs/sphinx_setup/api/nodejs_api/openvino-node/interfaces/Tensor.rst b/docs/sphinx_setup/api/nodejs_api/openvino-node/interfaces/Tensor.rst
@@ -40,7 +40,7 @@ Properties
    content of the ``TypedArray`` subclass is a copy of the tensor underlaying
    memory.
 
-   Its setter fills the underlaying tensor memory by copying the binary data
+   Its setter fills the underlying tensor memory by copying the binary data
    buffer from the ``TypedArray`` subclass. An exception will be thrown if the size
    or type of array does not match the tensor.
 
diff --git a/samples/cpp/benchmark_app/benchmark_app.hpp b/samples/cpp/benchmark_app/benchmark_app.hpp
@@ -19,7 +19,7 @@ static const char input_message[] =
     "                              In case of dynamic shapes models with several inputs provide the same number"
     " of files for each input (except cases with single file for any input):"
     "\"input1:1.jpg input2:1.bin\", \"input1:1.bin,2.bin input2:3.bin input3:4.bin,5.bin \"."
-    " Also you can pass specific keys for inputs: \"random\" - for fillling input with random data,"
+    " Also you can pass specific keys for inputs: \"random\" - for filling input with random data,"
     " \"image_info\" - for filling input with image size.\n"
     "                              You should specify either one files set to be used for all inputs (without "
     "providing "
@@ -68,7 +68,7 @@ static const char load_from_file_message[] = "Optional. Loads model from file di
 /// @brief message for maximum inference rate
 static const char maximum_inference_rate_message[] =
     "Optional. Maximum inference rate by frame per second"
-    "If not specified, default value is 0, the inference will run at maximium rate depending on a device capabilities. "
+    "If not specified, default value is 0, the inference will run at maximum rate depending on a device capabilities. "
     "Tweaking this value allow better accuracy in power usage measurement by limiting the execution.";
 
 /// @brief message for execution time
@@ -329,7 +329,7 @@ DEFINE_string(infer_precision, "", inference_precision_message);
 /// @brief Specify precision for all input layers of the network
 DEFINE_string(ip, "", inputs_precision_message);
 
-/// @brief Specify precision for all ouput layers of the network
+/// @brief Specify precision for all output layers of the network
 DEFINE_string(op, "", outputs_precision_message);
 
 /// @brief Specify precision for input and output layers by name.\n"
@@ -351,7 +351,7 @@ DEFINE_uint64(nthreads, 0, infer_num_threads_message);
 // @brief Enable plugin messages
 DEFINE_string(pin, "", infer_threads_pinning_message);
 
-/// @brief Define flag for switching beetwen host and device memory allocation for input and output buffers
+/// @brief Define flag for switching between host and device memory allocation for input and output buffers
 DEFINE_bool(use_device_mem, false, use_device_mem_message);
 
 /// @brief The percentile which will be reported in latency metric
diff --git a/samples/cpp/benchmark_app/main.cpp b/samples/cpp/benchmark_app/main.cpp
@@ -159,7 +159,7 @@ bool parse_and_check_command_line(int argc, char* argv[]) {
     }
     if (FLAGS_hint != "none" && (FLAGS_nstreams != "" || FLAGS_nthreads != 0 || FLAGS_pin != "")) {
         throw std::logic_error("-nstreams, -nthreads and -pin options are fine tune options. To use them you "
-                               "should explicitely set -hint option to none. This is not OpenVINO limitation "
+                               "should explicitly set -hint option to none. This is not OpenVINO limitation "
                                "(those options can be used in OpenVINO together), but a benchmark_app UI rule.");
     }
     if (!FLAGS_report_type.empty() && FLAGS_report_type != noCntReport && FLAGS_report_type != averageCntReport &&
@@ -294,9 +294,8 @@ void warn_if_no_batch(const benchmark_app::InputsInfo& first_inputs) {
                      [](const std::pair<const std::string, benchmark_app::InputInfo>& info) {
                          return ov::layout::has_batch(info.second.layout);
                      })) {
-        slog::warn
-            << "No batch dimension was found, asssuming batch to be 1. Beware: this might affect FPS calculation."
-            << slog::endl;
+        slog::warn << "No batch dimension was found, assuming batch to be 1. Beware: this might affect FPS calculation."
+                   << slog::endl;
     }
 }
 
@@ -456,7 +455,7 @@ int main(int argc, char* argv[]) {
         // Remove the hardware devices if AUTO/MULTI/HETERO appears in the devices list.
         if (is_virtual) {
             devices.clear();
-            // Parse out the currect virtual device as the target device.
+            // Parse out the current virtual device as the target device.
             std::string virtual_device = split(device_name, ':').at(0);
             auto iter_virtual = std::find(hardware_devices.begin(), hardware_devices.end(), virtual_device);
             hardware_devices.erase(iter_virtual);
diff --git a/samples/cpp/benchmark_app/utils.cpp b/samples/cpp/benchmark_app/utils.cpp
@@ -290,7 +290,7 @@ size_t get_batch_size(const benchmark_app::InputsInfo& inputs_info) {
             if (batch_size == 0)
                 batch_size = info.second.batch();
             else if (batch_size != info.second.batch())
-                throw std::logic_error("Can't deterimine batch size: batch is "
+                throw std::logic_error("Can't determine batch size: batch is "
                                        "different for different inputs!");
         }
     }
diff --git a/samples/cpp/hello_reshape_ssd/main.cpp b/samples/cpp/hello_reshape_ssd/main.cpp
@@ -121,7 +121,7 @@ int main(int argc, char* argv[]) {
         // 6) declare output element type as FP32
         output_info.tensor().set_element_type(ov::element::f32);
 
-        // 7) Apply preprocessing modifing the original 'model'
+        // 7) Apply preprocessing modifying the original 'model'
         model = ppp.build();
         // clang-format on
         // -------------------------------------------------------------------
diff --git a/samples/js/node/helpers.js b/samples/js/node/helpers.js
@@ -60,7 +60,7 @@ async function downloadFile(url, filename, destination) {
 
   return new Promise((resolve, reject) => {
     file.on('error', e => {
-      reject(`Error oppening file stream: ${e}`);
+      reject(`Error opening file stream: ${e}`);
     });
 
     const getRequest = module.get(url, { agent }, res => {
diff --git a/samples/python/classification_sample_async/classification_sample_async.py b/samples/python/classification_sample_async/classification_sample_async.py
@@ -93,7 +93,7 @@ def main() -> int:
     # - precision of tensor is supposed to be 'f32'
     ppp.output().tensor().set_element_type(ov.Type.f32)
 
-    # 4) Apply preprocessing modifing the original 'model'
+    # 4) Apply preprocessing modifying the original 'model'
     model = ppp.build()
 
     # --------------------------- Step 4. Set up input --------------------------------------------------------------------
diff --git a/samples/python/hello_reshape_ssd/hello_reshape_ssd.py b/samples/python/hello_reshape_ssd/hello_reshape_ssd.py
@@ -69,7 +69,7 @@ def main():
     # - precision of tensor is supposed to be 'f32'
     ppp.output().tensor().set_element_type(ov.Type.f32)
 
-    # 4) Apply preprocessing modifing the original 'model'
+    # 4) Apply preprocessing modifying the original 'model'
     model = ppp.build()
 
 # ---------------------------Step 4. Loading model to the device-------------------------------------------------------
diff --git a/samples/python/model_creation_sample/model_creation_sample.py b/samples/python/model_creation_sample/model_creation_sample.py
diff --git a/scripts/utils/utils.py b/scripts/utils/utils.py
diff --git a/src/tests/ov_helpers/ov_snippets_models/include/subgraph_simple.hpp b/src/tests/ov_helpers/ov_snippets_models/include/subgraph_simple.hpp
diff --git a/src/tests/test_utils/common_test_utils/src/ov_plugin_cache.cpp b/src/tests/test_utils/common_test_utils/src/ov_plugin_cache.cpp
diff --git a/src/tests/test_utils/common_test_utils/src/postgres_helpers.cpp b/src/tests/test_utils/common_test_utils/src/postgres_helpers.cpp
diff --git a/src/tests/test_utils/functional_test_utils/layer_tests_summary/conformance_helper_tools/compare_subgraph_dir.py b/src/tests/test_utils/functional_test_utils/layer_tests_summary/conformance_helper_tools/compare_subgraph_dir.py
diff --git a/src/tests/test_utils/functional_test_utils/layer_tests_summary/highlight_tables.py b/src/tests/test_utils/functional_test_utils/layer_tests_summary/highlight_tables.py
diff --git a/src/tests/test_utils/functional_test_utils/layer_tests_summary/rename_conformance_ir.py b/src/tests/test_utils/functional_test_utils/layer_tests_summary/rename_conformance_ir.py
diff --git a/src/tests/test_utils/functional_test_utils/layer_tests_summary/run_parallel.py b/src/tests/test_utils/functional_test_utils/layer_tests_summary/run_parallel.py
diff --git a/src/tests/test_utils/functional_test_utils/layer_tests_summary/utils/get_available_devices.py b/src/tests/test_utils/functional_test_utils/layer_tests_summary/utils/get_available_devices.py
diff --git a/src/tests/test_utils/functional_test_utils/src/crash_handler.cpp b/src/tests/test_utils/functional_test_utils/src/crash_handler.cpp

Original file line number	Diff line number	Diff line change
`@@ -10,7 +10,7 @@ include(CheckCXXSourceCompiles)`
`10`	`10`	`# ov_disable_deprecated_warnings()`
`11`	`11`	`#`
`12`	`12`	`# Disables deprecated warnings generation in current scope (directory, function)`
`13`		`-# Defines ov_c_cxx_deprecated varaible which contains C / C++ compiler flags`
	`13`	`+# Defines ov_c_cxx_deprecated variable which contains C / C++ compiler flags`
`14`	`14`	`#`
`15`	`15`	`macro(ov_disable_deprecated_warnings)`
`16`	`16`	`if(CMAKE_CXX_COMPILER_ID STREQUAL "MSVC")`
`@@ -37,7 +37,7 @@ endmacro()`
`37`	`37`	`# ov_deprecated_no_errors()`
`38`	`38`	`#`
`39`	`39`	`# Don't threat deprecated warnings as errors in current scope (directory, function)`
`40`		`-# Defines ov_c_cxx_deprecated_no_errors varaible which contains C / C++ compiler flags`
	`40`	`+# Defines ov_c_cxx_deprecated_no_errors variable which contains C / C++ compiler flags`
`41`	`41`	`#`
`42`	`42`	`macro(ov_deprecated_no_errors)`
`43`	`43`	`if(CMAKE_CXX_COMPILER_ID STREQUAL "MSVC")`
Original file line number	Diff line number	Diff line change
`@@ -17,7 +17,7 @@ function(ov_check_pip_package)`
`17`	`17`	`)`
`18`	`18`	`set(oneValueRequiredArgs`
`19`	`19`	`REQUIREMENT # Requirement-specifier to check`
`20`		`- RESULT_VAR # Result varibale to set return code {ON \| OFF}`
	`20`	`+ RESULT_VAR # Result variable to set return code {ON \| OFF}`
`21`	`21`	`)`
`22`	`22`	`set(multiValueArgs)`
`23`	`23`
`@@ -75,7 +75,7 @@ function(ov_check_pip_packages)`
`75`	`75`	`)`
`76`	`76`	`set(oneValueRequiredArgs`
`77`	`77`	`REQUIREMENTS_FILE # File with requirement-specifiers to check`
`78`		`- RESULT_VAR # Result varibale to set return code {ON \| OFF}`
	`78`	`+ RESULT_VAR # Result variable to set return code {ON \| OFF}`
`79`	`79`	`)`
`80`	`80`	`set(multiValueArgs)`
`81`	`81`
Original file line number	Diff line number	Diff line change
`@@ -407,7 +407,7 @@ macro(ov_cpack_settings)`
`407`	`407`	`# Install latest symlink packages`
`408`	`408`	`#`
`409`	`409`
`410`		`- # NOTE: we expicitly don't add runtime latest packages`
	`410`	`+ # NOTE: we explicitly don't add runtime latest packages`
`411`	`411`	`# since a user needs to depend on specific VERSIONED runtime package`
`412`	`412`	`# with fixed SONAMEs, while latest package can be updated multiple times`
`413`	`413`	`# ov_rpm_add_latest_component(libraries)`