prompt: You will be provided with a partial code base and an issue statement explaining a problem to resolve.
  <issue>
  🪲 joins aren't pushing predicates when predicates are on each relation in the join
  **Sample Code/Statement** _If you can, please submit the SQL statement or Python code snippet, or a representative example using the sample datasets._
  
  ~~~sql
  SELECT * 
    FROM $planets AS p 
   INNER JOIN $satellites AS s 
      ON p.id = s.planet_id 
   WHERE p.name = 'Jupiter' 
     AND s.radius = 1.0
  ~~~
  
  Returns the wrong result
  
  </issue>
  <code>
  [start of opteryx/components/cost_based_optimizer/strategies/split_conjunctive_predicates.py]
  1 # Licensed under the Apache License, Version 2.0 (the "License");
  2 # you may not use this file except in compliance with the License.
  3 # You may obtain a copy of the License at
  4 #
  5 #     http://www.apache.org/licenses/LICENSE-2.0
  6 #
  7 # Unless required by applicable law or agreed to in writing, software
  8 # distributed under the License is distributed on an "AS IS" BASIS,
  9 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  10 # See the License for the specific language governing permissions and
  11 # limitations under the License.
  12 
  13 from orso.tools import random_string
  14 
  15 from opteryx.components.logical_planner import LogicalPlan
  16 from opteryx.components.logical_planner import LogicalPlanNode
  17 from opteryx.components.logical_planner import LogicalPlanStepType
  18 from opteryx.managers.expression import NodeType
  19 from opteryx.managers.expression import get_all_nodes_of_type
  20 
  21 from .optimization_strategy import OptimizationStrategy
  22 from .optimization_strategy import OptimizerContext
  23 
  24 
  25 def _inner_split(node):
  26     while node.node_type == NodeType.NESTED:
  27         node = node.centre
  28 
  29     if node.node_type != NodeType.AND:
  30         return [node]
  31 
  32     # get the left and right filters
  33     left_nodes = _inner_split(node.left)
  34     right_nodes = _inner_split(node.right)
  35 
  36     return left_nodes + right_nodes
  37 
  38 
  39 class SplitConjunctivePredicatesStrategy(OptimizationStrategy):
  40     def visit(self, node: LogicalPlanNode, context: OptimizerContext) -> OptimizerContext:
  41         """
  42         Conjunctive Predicates (ANDs) can be split and executed in any order to get the
  43         same result. This means we can split them into separate steps in the plan.
  44 
  45         The reason for splitting is two-fold:
  46 
  47         1)  Smaller expressions are easier to move around the query plan as they have fewer
  48             dependencies.
  49         2)  Executing predicates like this means each runs in turn, filtering out some of
  50             the records meaning susequent predicates will be operating on fewer records,
  51             which is generally faster. We can also order these predicates to get a faster
  52             result, balancing the selectivity (get rid of more records faster) vs cost of
  53             the check (a numeric check is faster than a string check)
  54         """
  55         if node.node_type == LogicalPlanStepType.Filter:
  56             split_predicates = _inner_split(node.condition)
  57             new_nodes = []
  58             for predicate in split_predicates:
  59                 new_node = LogicalPlanNode(
  60                     node_type=LogicalPlanStepType.Filter, condition=predicate
  61                 )
  62                 new_node.columns = get_all_nodes_of_type(
  63                     node.condition, select_nodes=(NodeType.IDENTIFIER,)
  64                 )
  65                 new_node.relations = node.relations
  66                 new_nodes.append(new_node)
  67         else:
  68             new_nodes = [node]
  69 
  70         for i, new_node in enumerate(new_nodes):
  71             nid = random_string() if (i + 1) < len(new_nodes) else context.node_id
  72             context.optimized_plan.add_node(nid, LogicalPlanNode(**new_node.properties))
  73             if context.parent_nid:
  74                 context.optimized_plan.add_edge(nid, context.parent_nid)
  75             context.parent_nid = nid
  76 
  77         return context
  78 
  79     def complete(self, plan: LogicalPlan, context: OptimizerContext) -> LogicalPlan:
  80         # No finalization needed for this strategy
  81         return plan
  82
  [end of opteryx/components/cost_based_optimizer/strategies/split_conjunctive_predicates.py]
  [start of opteryx/__version__.py]
  1 __build__ = 329
  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 
  15 """
  16 Store the version here so:
  17 1) we don't load dependencies by storing it in __init__.py
  18 2) we can import it in setup.py for the same reason
  19 """
  20 from enum import Enum  # isort: skip
  21 
  22 
  23 class VersionStatus(Enum):
  24     ALPHA = "alpha"
  25     BETA = "beta"
  26     RELEASE = "release"
  27 
  28 
  29 _major = 0
  30 _minor = 13
  31 _revision = 4
  32 _status = VersionStatus.ALPHA
  33 
  34 __author__ = "@joocer"
  35 __version__ = f"{_major}.{_minor}.{_revision}" + (
  36     f"-{_status.value}.{__build__}" if _status != VersionStatus.RELEASE else ""
  37 )
  38
  [end of opteryx/__version__.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/opteryx/__version__.py b/opteryx/__version__.py
  --- a/opteryx/__version__.py
  +++ b/opteryx/__version__.py
  @@ -1,4 +1,4 @@
  -__build__ = 329
  +__build__ = 330
   
   # Licensed under the Apache License, Version 2.0 (the "License");
   # you may not use this file except in compliance with the License.
  diff --git a/opteryx/components/cost_based_optimizer/strategies/split_conjunctive_predicates.py b/opteryx/components/cost_based_optimizer/strategies/split_conjunctive_predicates.py
  --- a/opteryx/components/cost_based_optimizer/strategies/split_conjunctive_predicates.py
  +++ b/opteryx/components/cost_based_optimizer/strategies/split_conjunctive_predicates.py
  @@ -56,13 +56,12 @@
               split_predicates = _inner_split(node.condition)
               new_nodes = []
               for predicate in split_predicates:
  -                new_node = LogicalPlanNode(
  -                    node_type=LogicalPlanStepType.Filter, condition=predicate
  -                )
  +                new_node = LogicalPlanNode(node_type=LogicalPlanStepType.Filter)
  +                new_node.condition = predicate
                   new_node.columns = get_all_nodes_of_type(
  -                    node.condition, select_nodes=(NodeType.IDENTIFIER,)
  +                    predicate, select_nodes=(NodeType.IDENTIFIER,)
                   )
  -                new_node.relations = node.relations
  +                new_node.relations = {c.source for c in new_node.columns}
                   new_nodes.append(new_node)
           else:
               new_nodes = [node]
  
verification_info: {"golden_diff": "diff --git a/opteryx/__version__.py b/opteryx/__version__.py\n--- a/opteryx/__version__.py\n+++ b/opteryx/__version__.py\n@@ -1,4 +1,4 @@\n-__build__ = 329\n+__build__ = 330\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.\ndiff --git a/opteryx/components/cost_based_optimizer/strategies/split_conjunctive_predicates.py b/opteryx/components/cost_based_optimizer/strategies/split_conjunctive_predicates.py\n--- a/opteryx/components/cost_based_optimizer/strategies/split_conjunctive_predicates.py\n+++ b/opteryx/components/cost_based_optimizer/strategies/split_conjunctive_predicates.py\n@@ -56,13 +56,12 @@\n             split_predicates = _inner_split(node.condition)\n             new_nodes = []\n             for predicate in split_predicates:\n-                new_node = LogicalPlanNode(\n-                    node_type=LogicalPlanStepType.Filter, condition=predicate\n-                )\n+                new_node = LogicalPlanNode(node_type=LogicalPlanStepType.Filter)\n+                new_node.condition = predicate\n                 new_node.columns = get_all_nodes_of_type(\n-                    node.condition, select_nodes=(NodeType.IDENTIFIER,)\n+                    predicate, select_nodes=(NodeType.IDENTIFIER,)\n                 )\n-                new_node.relations = node.relations\n+                new_node.relations = {c.source for c in new_node.columns}\n                 new_nodes.append(new_node)\n         else:\n             new_nodes = [node]\n", "issue": "\ud83e\udeb2 joins aren't pushing predicates when predicates are on each relation in the join\n**Sample Code/Statement** _If you can, please submit the SQL statement or Python code snippet, or a representative example using the sample datasets._\r\n\r\n~~~sql\r\nSELECT * \r\n  FROM $planets AS p \r\n INNER JOIN $satellites AS s \r\n    ON p.id = s.planet_id \r\n WHERE p.name = 'Jupiter' \r\n   AND s.radius = 1.0\r\n~~~\r\n\r\nReturns the wrong result\n", "before_files": [{"content": "# 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\nfrom orso.tools import random_string\n\nfrom opteryx.components.logical_planner import LogicalPlan\nfrom opteryx.components.logical_planner import LogicalPlanNode\nfrom opteryx.components.logical_planner import LogicalPlanStepType\nfrom opteryx.managers.expression import NodeType\nfrom opteryx.managers.expression import get_all_nodes_of_type\n\nfrom .optimization_strategy import OptimizationStrategy\nfrom .optimization_strategy import OptimizerContext\n\n\ndef _inner_split(node):\n    while node.node_type == NodeType.NESTED:\n        node = node.centre\n\n    if node.node_type != NodeType.AND:\n        return [node]\n\n    # get the left and right filters\n    left_nodes = _inner_split(node.left)\n    right_nodes = _inner_split(node.right)\n\n    return left_nodes + right_nodes\n\n\nclass SplitConjunctivePredicatesStrategy(OptimizationStrategy):\n    def visit(self, node: LogicalPlanNode, context: OptimizerContext) -> OptimizerContext:\n        \"\"\"\n        Conjunctive Predicates (ANDs) can be split and executed in any order to get the\n        same result. This means we can split them into separate steps in the plan.\n\n        The reason for splitting is two-fold:\n\n        1)  Smaller expressions are easier to move around the query plan as they have fewer\n            dependencies.\n        2)  Executing predicates like this means each runs in turn, filtering out some of\n            the records meaning susequent predicates will be operating on fewer records,\n            which is generally faster. We can also order these predicates to get a faster\n            result, balancing the selectivity (get rid of more records faster) vs cost of\n            the check (a numeric check is faster than a string check)\n        \"\"\"\n        if node.node_type == LogicalPlanStepType.Filter:\n            split_predicates = _inner_split(node.condition)\n            new_nodes = []\n            for predicate in split_predicates:\n                new_node = LogicalPlanNode(\n                    node_type=LogicalPlanStepType.Filter, condition=predicate\n                )\n                new_node.columns = get_all_nodes_of_type(\n                    node.condition, select_nodes=(NodeType.IDENTIFIER,)\n                )\n                new_node.relations = node.relations\n                new_nodes.append(new_node)\n        else:\n            new_nodes = [node]\n\n        for i, new_node in enumerate(new_nodes):\n            nid = random_string() if (i + 1) < len(new_nodes) else context.node_id\n            context.optimized_plan.add_node(nid, LogicalPlanNode(**new_node.properties))\n            if context.parent_nid:\n                context.optimized_plan.add_edge(nid, context.parent_nid)\n            context.parent_nid = nid\n\n        return context\n\n    def complete(self, plan: LogicalPlan, context: OptimizerContext) -> LogicalPlan:\n        # No finalization needed for this strategy\n        return plan\n", "path": "opteryx/components/cost_based_optimizer/strategies/split_conjunctive_predicates.py"}, {"content": "__build__ = 329\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\n\"\"\"\nStore the version here so:\n1) we don't load dependencies by storing it in __init__.py\n2) we can import it in setup.py for the same reason\n\"\"\"\nfrom enum import Enum  # isort: skip\n\n\nclass VersionStatus(Enum):\n    ALPHA = \"alpha\"\n    BETA = \"beta\"\n    RELEASE = \"release\"\n\n\n_major = 0\n_minor = 13\n_revision = 4\n_status = VersionStatus.ALPHA\n\n__author__ = \"@joocer\"\n__version__ = f\"{_major}.{_minor}.{_revision}\" + (\n    f\"-{_status.value}.{__build__}\" if _status != VersionStatus.RELEASE else \"\"\n)\n", "path": "opteryx/__version__.py"}]}