Refactor while True loops (#5952)

inference-engine/ie_bridges/python/sample/speech_sample/file_options.py

@@ -13,12 +13,11 @@ def read_ark_file(file_name: str) -> dict:
     def read_key(input_file: IO[Any]) -> str:
         """Read a identifier of utterance matrix"""
         key = ''
-        while True:
+        char = input_file.read(1).decode()
+
+        while char not in ('', ' '):
+            key += char
             char = input_file.read(1).decode()
-            if char in ('', ' '):
-                break
-            else:
-                key += char
 
         return key
 
@@ -44,11 +43,11 @@ def read_ark_file(file_name: str) -> dict:
 
     utterances = {}
     with open(file_name, 'rb') as input_file:
-        while True:
-            key = read_key(input_file)
-            if not key:
-                break
+        key = read_key(input_file)
+
+        while key:
             utterances[key] = read_matrix(input_file)
+            key = read_key(input_file)
 
     return utterances
 

inference-engine/ie_bridges/python/sample/speech_sample/speech_sample.py

@@ -36,7 +36,7 @@ def infer_data(data: dict, exec_net: ExecutableNetwork, input_blobs: list, outpu
     slice_begin = 0
     slice_end = batch_size
 
-    while True:
+    while slice_begin < matrix_shape[0]:
         vectors = {blob_name: data[blob_name][slice_begin:slice_end] for blob_name in input_blobs}
         num_of_vectors = next(iter(vectors.values())).shape[0]
 
@@ -56,8 +56,7 @@ def infer_data(data: dict, exec_net: ExecutableNetwork, input_blobs: list, outpu
         slice_begin += batch_size
         slice_end += batch_size
 
-        if slice_begin >= matrix_shape[0]:
-            return result
+    return result
 
 
 def compare_with_reference(result: np.ndarray, reference: np.ndarray):