Fix tests

Author: krassowski

myst_nb/core/read.py

@@ -233,9 +233,11 @@ def _flush_markdown(start_line, token, md_metadata):
         meta = nbf.from_dict(md_metadata)
         if md_source:
             source_map.append(start_line)
-            notebook.cells.append(
-                nbf_version.new_markdown_cell(source=md_source, metadata=meta)
-            )
+            cell = nbf_version.new_markdown_cell(source=md_source, metadata=meta)
+            # remove randomly generated cell IDs
+            if "id" in cell:
+                del cell["id"]
+            notebook.cells.append(cell)
 
     # iterate through the tokens to identify notebook cells
     nesting_level = 0
@@ -260,9 +262,13 @@ def _flush_markdown(start_line, token, md_metadata):
                 )
             meta = nbf.from_dict(options)
             source_map.append(token_map[0] + 1)
-            notebook.cells.append(
-                nbf_version.new_code_cell(source="\n".join(body_lines), metadata=meta)
+            cell = nbf_version.new_code_cell(
+                source="\n".join(body_lines), metadata=meta
             )
+            # remove randomly generated cell IDs
+            if "id" in cell:
+                del cell["id"]
+            notebook.cells.append(cell)
             md_metadata = {}
             md_start_line = token_map[1]
 
@@ -271,9 +277,11 @@ def _flush_markdown(start_line, token, md_metadata):
             options, body_lines = _read_fenced_cell(token, len(notebook.cells), "Raw")
             meta = nbf.from_dict(options)
             source_map.append(token_map[0] + 1)
-            notebook.cells.append(
-                nbf_version.new_raw_cell(source="\n".join(body_lines), metadata=meta)
-            )
+            cell = nbf_version.new_raw_cell(source="\n".join(body_lines), metadata=meta)
+            # remove randomly generated cell IDs
+            if "id" in cell:
+                del cell["id"]
+            notebook.cells.append(cell)
             md_metadata = {}
             md_start_line = token_map[1]
 

tests/test_execute/test_custom_convert_auto.xml

@@ -7,7 +7,7 @@
                 <literal_block language="ipython3" xml:space="preserve">
                     import pandas as pd
                     x = pd.Series({'A':1, 'B':3, 'C':2})
-        <container cell_index="3" cell_metadata="{'name': 'bar_plot', 'tags': ['remove_input'], 'fig.height': 5, 'fig.width': 8}" classes="cell tag_remove_input" exec_count="2" nb_element="cell_code">
+        <container cell_index="3" cell_metadata="{'name': 'bar_plot', 'tags': ['remove_input'], 'fig.height': 5, 'fig.width': 8}" classes="cell tag_remove_input" exec_count="2" ids="id2" nb_element="cell_code" slug="cell-id=2ed7deb2">
             <container classes="cell_output" nb_element="cell_code_output">
                 <container nb_element="mime_bundle">
                     <container mime_type="text/plain">

tests/test_execute/test_custom_convert_cache.xml

@@ -2,12 +2,12 @@
     <section ids="custom-formats" names="custom\ formats">
         <title>
             Custom Formats
-        <container cell_index="2" cell_metadata="{'echo': True}" classes="cell" exec_count="1" nb_element="cell_code">
+        <container cell_index="2" cell_metadata="{'echo': True}" classes="cell" exec_count="1" ids="id1" nb_element="cell_code" slug="cell-id=73ee1a6a">
             <container classes="cell_input" nb_element="cell_code_source">
                 <literal_block language="ipython3" xml:space="preserve">
                     import pandas as pd
                     x = pd.Series({'A':1, 'B':3, 'C':2})
-        <container cell_index="3" cell_metadata="{'name': 'bar_plot', 'tags': ['remove_input'], 'fig.height': 5, 'fig.width': 8}" classes="cell tag_remove_input" exec_count="2" nb_element="cell_code">
+        <container cell_index="3" cell_metadata="{'name': 'bar_plot', 'tags': ['remove_input'], 'fig.height': 5, 'fig.width': 8}" classes="cell tag_remove_input" exec_count="2" ids="id2" nb_element="cell_code" slug="cell-id=3aee4e49">
             <container classes="cell_output" nb_element="cell_code_output">
                 <container nb_element="mime_bundle">
                     <container mime_type="text/plain">