prompt: You will be provided with a partial code base and an issue statement explaining a problem to resolve.
  <issue>
  [reports] Data.csv.gz don't need to contain id column
  It has these columns because data.csv.gz contains data from a join query of snapshots on trials.
  time_started and time_ended are from trials but they are probably not useful for the analysis people want to do so they just take up space at this point.
  
  </issue>
  <code>
  [start of analysis/queries.py]
  1 # Copyright 2020 Google LLC
  2 #
  3 # Licensed under the Apache License, Version 2.0 (the "License");
  4 # you may not use this file except in compliance with the License.
  5 # You may obtain a copy of the License at
  6 #
  7 #      http://www.apache.org/licenses/LICENSE-2.0
  8 #
  9 # Unless required by applicable law or agreed to in writing, software
  10 # distributed under the License is distributed on an "AS IS" BASIS,
  11 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  12 # See the License for the specific language governing permissions and
  13 # limitations under the License.
  14 """Database queries for acquiring experiment data."""
  15 
  16 import pandas as pd
  17 import sqlalchemy
  18 
  19 from database import models
  20 from database import utils as db_utils
  21 
  22 
  23 def get_experiment_data(experiment_names):
  24     """Get measurements (such as coverage) on experiments from the database."""
  25     snapshots_query = db_utils.query(models.Snapshot).options(
  26         sqlalchemy.orm.joinedload('trial')).filter(
  27             models.Snapshot.trial.has(
  28                 models.Trial.experiment.in_(experiment_names)))
  29     return pd.read_sql_query(snapshots_query.statement, db_utils.engine)
  30
  [end of analysis/queries.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/analysis/queries.py b/analysis/queries.py
  --- a/analysis/queries.py
  +++ b/analysis/queries.py
  @@ -26,4 +26,8 @@
           sqlalchemy.orm.joinedload('trial')).filter(
               models.Snapshot.trial.has(
                   models.Trial.experiment.in_(experiment_names)))
  -    return pd.read_sql_query(snapshots_query.statement, db_utils.engine)
  +
  +    # id must be loaded to do the join but get rid of it now since
  +    # trial_id provides the same info.
  +    data = pd.read_sql_query(snapshots_query.statement, db_utils.engine)
  +    return data.drop(columns=['id'])
  
verification_info: {"golden_diff": "diff --git a/analysis/queries.py b/analysis/queries.py\n--- a/analysis/queries.py\n+++ b/analysis/queries.py\n@@ -26,4 +26,8 @@\n         sqlalchemy.orm.joinedload('trial')).filter(\n             models.Snapshot.trial.has(\n                 models.Trial.experiment.in_(experiment_names)))\n-    return pd.read_sql_query(snapshots_query.statement, db_utils.engine)\n+\n+    # id must be loaded to do the join but get rid of it now since\n+    # trial_id provides the same info.\n+    data = pd.read_sql_query(snapshots_query.statement, db_utils.engine)\n+    return data.drop(columns=['id'])\n", "issue": "[reports] Data.csv.gz don't need to contain id column\nIt has these columns because data.csv.gz contains data from a join query of snapshots on trials.\r\ntime_started and time_ended are from trials but they are probably not useful for the analysis people want to do so they just take up space at this point.\n", "before_files": [{"content": "# Copyright 2020 Google LLC\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#      http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\"\"\"Database queries for acquiring experiment data.\"\"\"\n\nimport pandas as pd\nimport sqlalchemy\n\nfrom database import models\nfrom database import utils as db_utils\n\n\ndef get_experiment_data(experiment_names):\n    \"\"\"Get measurements (such as coverage) on experiments from the database.\"\"\"\n    snapshots_query = db_utils.query(models.Snapshot).options(\n        sqlalchemy.orm.joinedload('trial')).filter(\n            models.Snapshot.trial.has(\n                models.Trial.experiment.in_(experiment_names)))\n    return pd.read_sql_query(snapshots_query.statement, db_utils.engine)\n", "path": "analysis/queries.py"}]}