prompt: You will be provided with a partial code base and an issue statement explaining a problem to resolve.
  <issue>
  IndexError when deleting a column
  ## Description
  <!-- A clear and concise description of what the bug is. -->
  An indexError occurs when deleting a column through the API. Most of the time the error occurs when deleting the first or second column of a table. Deleting the last columns in a table does not seem to produce this error. 
  
  ## Expected behavior
  <!-- A clear and concise description of what you expected to happen. -->
  
  - A column should be deleted
  
  ## To Reproduce
  <!-- How can we recreate this bug? Please try to provide a Minimal, Complete, and Verifiable (http://stackoverflow.com/help/mcve) example if code-related. -->
  
  1. Delete the first  or second column of a table via API. Example: api/v0/tables/1/columns/1/
  2. Delete the first or second column of another table via API. Example: api/v0/tables/2/columns/0/
  
  ## Screenshots
  
  ![Screenshot (35)](https://user-images.githubusercontent.com/66047479/133317146-3e4aa024-afc2-4370-9a79-1007549edccd.png)
  ![Screenshot (36)](https://user-images.githubusercontent.com/66047479/133317195-0da1725a-9895-4ee3-8b18-90b83eda90c4.png)
  
  ## Environment
   - OS: (_eg._ macOS 10.14.6; Fedora 32)
   - Browser: (_eg._ Safari; Firefox)
   - Browser Version: (_eg._ 13; 73)
   - Other info:
  
  ## Additional context
  <!-- Add any other context about the problem or screenshots here. -->
  
  
  </issue>
  <code>
  [start of db/columns/operations/select.py]
  1 import warnings
  2 
  3 from sqlalchemy import Table, MetaData, and_, select, text, func
  4 
  5 from db.tables.operations.select import reflect_table_from_oid
  6 from db.utils import execute_statement
  7 
  8 
  9 def get_column_index_from_name(table_oid, column_name, engine, connection_to_use=None):
  10     with warnings.catch_warnings():
  11         warnings.filterwarnings("ignore", message="Did not recognize type")
  12         pg_attribute = Table("pg_attribute", MetaData(), autoload_with=engine)
  13     sel = select(pg_attribute.c.attnum).where(
  14         and_(
  15             pg_attribute.c.attrelid == table_oid,
  16             pg_attribute.c.attname == column_name
  17         )
  18     )
  19     result = execute_statement(engine, sel, connection_to_use).fetchone()[0]
  20 
  21     # Account for dropped columns that don't appear in the SQLAlchemy tables
  22     sel = (
  23         select(func.count())
  24         .where(and_(
  25             pg_attribute.c.attisdropped.is_(True),
  26             pg_attribute.c.attnum < result,
  27         ))
  28     )
  29     dropped_count = execute_statement(engine, sel, connection_to_use).fetchone()[0]
  30 
  31     return result - 1 - dropped_count
  32 
  33 
  34 def get_column_default(table_oid, column_index, engine, connection_to_use=None):
  35     table = reflect_table_from_oid(table_oid, engine, connection_to_use)
  36     column = table.columns[column_index]
  37     if column.server_default is None:
  38         return None
  39 
  40     metadata = MetaData()
  41     with warnings.catch_warnings():
  42         warnings.filterwarnings("ignore", message="Did not recognize type")
  43         pg_attribute = Table("pg_attribute", metadata, autoload_with=engine)
  44         pg_attrdef = Table("pg_attrdef", metadata, autoload_with=engine)
  45 
  46     query = (
  47         select(pg_attrdef.c.adbin)
  48         .select_from(
  49             pg_attrdef
  50             .join(
  51                 pg_attribute,
  52                 and_(
  53                     pg_attribute.c.attnum == pg_attrdef.c.adnum,
  54                     pg_attribute.c.attrelid == pg_attrdef.c.adrelid
  55                 )
  56             )
  57         )
  58         .where(and_(
  59             pg_attribute.c.attrelid == table_oid,
  60             pg_attribute.c.attname == column.name,
  61             pg_attribute.c.attnum >= 1,
  62         ))
  63     )
  64 
  65     result = execute_statement(engine, query, connection_to_use).first()[0]
  66 
  67     # Here, we get the 'adbin' value for the current column, stored in the attrdef
  68     # system table. The prefix of this value tells us whether the default is static
  69     # ('{CONSTANT') or generated ('{FUNCEXPR'). We do not return generated defaults.
  70     if result.startswith("{FUNCEXPR"):
  71         return None
  72 
  73     default_textual_sql = column.server_default.arg.text
  74     # Defaults are stored as text with SQL casts appended
  75     # Ex: "'test default string'::character varying" or "'2020-01-01'::date"
  76     # Here, we execute the cast to get the proper python value
  77     return execute_statement(engine, select(text(default_textual_sql)), connection_to_use).first()[0]
  78
  [end of db/columns/operations/select.py]
  </code>
  
  I need you to solve this issue by generating a single patch file that I can apply directly to this repository using git apply. Please respond with a single patch file in the following format.
  <patch>
  diff --git a/file.py b/file.py
  --- a/file.py
  +++ b/file.py
  @@ -1,27 +1,35 @@
   def euclidean(a, b):
  -    while b:
  -        a, b = b, a % b
  -    return a
  +    if b == 0:
  +        return a
  +    return euclidean(b, a % b)
   
   
   def bresenham(x0, y0, x1, y1):
       points = []
       dx = abs(x1 - x0)
       dy = abs(y1 - y0)
  -    sx = 1 if x0 < x1 else -1
  -    sy = 1 if y0 < y1 else -1
  -    err = dx - dy
  +    x, y = x0, y0
  +    sx = -1 if x0 > x1 else 1
  +    sy = -1 if y0 > y1 else 1
   
  -    while True:
  -        points.append((x0, y0))
  -        if x0 == x1 and y0 == y1:
  -            break
  -        e2 = 2 * err
  -        if e2 > -dy:
  -            err -= dy
  -            x0 += sx
  -        if e2 < dx:
  -            err += dx
  -            y0 += sy
  +    if dx > dy:
  +        err = dx / 2.0
  +        while x != x1:
  +            points.append((x, y))
  +            err -= dy
  +            if err < 0:
  +                y += sy
  +                err += dx
  +            x += sx
  +    else:
  +        err = dy / 2.0
  +        while y != y1:
  +            points.append((x, y))
  +            err -= dx
  +            if err < 0:
  +                x += sx
  +                err += dy
  +            y += sy
  +
  +    points.append((x, y))
       return points
  
  </patch>
golden_diff: diff --git a/db/columns/operations/select.py b/db/columns/operations/select.py
  --- a/db/columns/operations/select.py
  +++ b/db/columns/operations/select.py
  @@ -22,6 +22,7 @@
       sel = (
           select(func.count())
           .where(and_(
  +            pg_attribute.c.attrelid == table_oid,
               pg_attribute.c.attisdropped.is_(True),
               pg_attribute.c.attnum < result,
           ))
  
verification_info: {"golden_diff": "diff --git a/db/columns/operations/select.py b/db/columns/operations/select.py\n--- a/db/columns/operations/select.py\n+++ b/db/columns/operations/select.py\n@@ -22,6 +22,7 @@\n     sel = (\n         select(func.count())\n         .where(and_(\n+            pg_attribute.c.attrelid == table_oid,\n             pg_attribute.c.attisdropped.is_(True),\n             pg_attribute.c.attnum < result,\n         ))\n", "issue": "IndexError when deleting a column\n## Description\r\n<!-- A clear and concise description of what the bug is. -->\r\nAn indexError occurs when deleting a column through the API. Most of the time the error occurs when deleting the first or second column of a table. Deleting the last columns in a table does not seem to produce this error. \r\n\r\n## Expected behavior\r\n<!-- A clear and concise description of what you expected to happen. -->\r\n\r\n- A column should be deleted\r\n\r\n## To Reproduce\r\n<!-- How can we recreate this bug? Please try to provide a Minimal, Complete, and Verifiable (http://stackoverflow.com/help/mcve) example if code-related. -->\r\n\r\n1. Delete the first  or second column of a table via API. Example: api/v0/tables/1/columns/1/\r\n2. Delete the first or second column of another table via API. Example: api/v0/tables/2/columns/0/\r\n\r\n## Screenshots\r\n\r\n![Screenshot (35)](https://user-images.githubusercontent.com/66047479/133317146-3e4aa024-afc2-4370-9a79-1007549edccd.png)\r\n![Screenshot (36)](https://user-images.githubusercontent.com/66047479/133317195-0da1725a-9895-4ee3-8b18-90b83eda90c4.png)\r\n\r\n## Environment\r\n - OS: (_eg._ macOS 10.14.6; Fedora 32)\r\n - Browser: (_eg._ Safari; Firefox)\r\n - Browser Version: (_eg._ 13; 73)\r\n - Other info:\r\n\r\n## Additional context\r\n<!-- Add any other context about the problem or screenshots here. -->\r\n\n", "before_files": [{"content": "import warnings\n\nfrom sqlalchemy import Table, MetaData, and_, select, text, func\n\nfrom db.tables.operations.select import reflect_table_from_oid\nfrom db.utils import execute_statement\n\n\ndef get_column_index_from_name(table_oid, column_name, engine, connection_to_use=None):\n    with warnings.catch_warnings():\n        warnings.filterwarnings(\"ignore\", message=\"Did not recognize type\")\n        pg_attribute = Table(\"pg_attribute\", MetaData(), autoload_with=engine)\n    sel = select(pg_attribute.c.attnum).where(\n        and_(\n            pg_attribute.c.attrelid == table_oid,\n            pg_attribute.c.attname == column_name\n        )\n    )\n    result = execute_statement(engine, sel, connection_to_use).fetchone()[0]\n\n    # Account for dropped columns that don't appear in the SQLAlchemy tables\n    sel = (\n        select(func.count())\n        .where(and_(\n            pg_attribute.c.attisdropped.is_(True),\n            pg_attribute.c.attnum < result,\n        ))\n    )\n    dropped_count = execute_statement(engine, sel, connection_to_use).fetchone()[0]\n\n    return result - 1 - dropped_count\n\n\ndef get_column_default(table_oid, column_index, engine, connection_to_use=None):\n    table = reflect_table_from_oid(table_oid, engine, connection_to_use)\n    column = table.columns[column_index]\n    if column.server_default is None:\n        return None\n\n    metadata = MetaData()\n    with warnings.catch_warnings():\n        warnings.filterwarnings(\"ignore\", message=\"Did not recognize type\")\n        pg_attribute = Table(\"pg_attribute\", metadata, autoload_with=engine)\n        pg_attrdef = Table(\"pg_attrdef\", metadata, autoload_with=engine)\n\n    query = (\n        select(pg_attrdef.c.adbin)\n        .select_from(\n            pg_attrdef\n            .join(\n                pg_attribute,\n                and_(\n                    pg_attribute.c.attnum == pg_attrdef.c.adnum,\n                    pg_attribute.c.attrelid == pg_attrdef.c.adrelid\n                )\n            )\n        )\n        .where(and_(\n            pg_attribute.c.attrelid == table_oid,\n            pg_attribute.c.attname == column.name,\n            pg_attribute.c.attnum >= 1,\n        ))\n    )\n\n    result = execute_statement(engine, query, connection_to_use).first()[0]\n\n    # Here, we get the 'adbin' value for the current column, stored in the attrdef\n    # system table. The prefix of this value tells us whether the default is static\n    # ('{CONSTANT') or generated ('{FUNCEXPR'). We do not return generated defaults.\n    if result.startswith(\"{FUNCEXPR\"):\n        return None\n\n    default_textual_sql = column.server_default.arg.text\n    # Defaults are stored as text with SQL casts appended\n    # Ex: \"'test default string'::character varying\" or \"'2020-01-01'::date\"\n    # Here, we execute the cast to get the proper python value\n    return execute_statement(engine, select(text(default_textual_sql)), connection_to_use).first()[0]\n", "path": "db/columns/operations/select.py"}]}