first commit

Codes/sharedlibs/lib/printcolor.py

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+class Colors:
+    RED = '\033[91m'
+    GREEN = '\033[92m'
+    YELLOW = '\033[93m'
+    BLUE = '\033[94m'
+    ENDC = '\033[0m'  # Reset color
+
+
+def print_tok_color(tok, ids, colormask):
+    if ids.shape != colormask.shape:
+        raise ValueError(f"{ids.shape} != {colormask.shape}")
+
+    # ids and colormask are 2D: (batch, seq_len)
+    batch_size, seq_len = ids.shape
+
+    for b in range(batch_size):
+        out = []
+        for i in range(seq_len):
+            token_id = int(ids[b, i])
+            masked = bool(colormask[b, i])
+
+            # Convert id → token (use decode if you prefer)
+            token = tok.decode(token_id)
+
+            if masked:
+                out.append(f"{Colors.RED}{token}{Colors.ENDC}")
+            else:
+                out.append(token)
+
+        print(" ".join(out))
+
+def print_data_color_in_batch(index, tok, input_ids, data_mask):
+    """
+    Print decoded tokens for sample `index`, with data-masked tokens in red.
+
+    Args:
+        index:     batch index
+        tok:       tokenizer
+        input_ids: (batch, seq_len) tensor
+        data_mask: (batch, seq_len) bool/int tensor — True/1 = data token (will be red)
+    """
+    RED = "\033[91m"
+    RESET = "\033[0m"
+
+    ids = input_ids[index].tolist()
+    mask = data_mask[index].bool().tolist()
+
+    parts = []
+    cur_text = ""
+    cur_is_data = mask[0] if ids else False
+
+    for tid, m in zip(ids, mask):
+        decoded = tok.decode([tid])
+        if m == cur_is_data:
+            cur_text += decoded
+        else:
+            if cur_text:
+                parts.append((cur_is_data, cur_text))
+            cur_text = decoded
+            cur_is_data = m
+
+    if cur_text:
+        parts.append((cur_is_data, cur_text))
+
+    out = ""
+    for is_data, text in parts:
+        if is_data:
+            out += f"{RED}{text}{RESET}"
+        else:
+            out += text
+
+    print(out)