diff --git a/.github/workflows/charts_tests.yml b/.github/workflows/charts_tests.yml
new file mode 100644
index 00000000..bd1ef28e
--- /dev/null
+++ b/.github/workflows/charts_tests.yml
@@ -0,0 +1,40 @@
+name: Test Python SDK
+
+on:
+  workflow_call:
+
+permissions:
+  contents: read
+
+jobs:
+  publish:
+    defaults:
+      run:
+        working-directory: ./chart_data_extractor
+    name: Build and test Chart Data Extractor
+    runs-on: ubuntu-20.04
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v3
+
+      - name: Set up Python
+        uses: actions/setup-python@v4
+        with:
+          python-version: '3.10'
+
+      - name: Install and configure Poetry
+        uses: snok/install-poetry@v1
+        with:
+          version: 1.5.1
+          virtualenvs-create: true
+          virtualenvs-in-project: true
+          installer-parallel: true
+
+      - name: Install dependencies
+        run: poetry install
+
+      - name: Test build
+        run: poetry build
+
+      - name: Run tests
+        run: poetry run pytest --verbose -x
diff --git a/.github/workflows/pr.yml b/.github/workflows/pr.yml
index 3de134d8..40c3251b 100644
--- a/.github/workflows/pr.yml
+++ b/.github/workflows/pr.yml
@@ -12,6 +12,7 @@ jobs:
     outputs:
       python: ${{ steps.filter.outputs.python }}
       js: ${{ steps.filter.outputs.js }}
+      charts: ${{ steps.filter.outputs.charts }}
     steps:
       - name: Checkout repository
         uses: actions/checkout@v3
@@ -38,6 +39,8 @@ jobs:
               - 'python/**'
             js:
               - 'js/**'
+            charts:
+              - 'chart_data_extractor/**'
 
   python-tests:
     needs: [ changes ]
@@ -52,3 +55,11 @@ jobs:
     if: needs.changes.outputs.js == 'true'
     uses: ./.github/workflows/js_tests.yml
     secrets: inherit
+
+  charts-tests:
+    needs: [ changes ]
+    name: Tests Chart package
+    #    If the PR does not have the label 'js-rc', the code is already tested in the prerelease workflow
+    if: needs.changes.outputs.charts == 'true' && !contains( github.event.pull_request.labels.*.name, 'charts-rc')
+    uses: ./.github/workflows/charts_tests.yml
+    secrets: inherit
diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml
index 5876b58c..c2e4d7a0 100644
--- a/.github/workflows/release.yml
+++ b/.github/workflows/release.yml
@@ -56,6 +56,8 @@ jobs:
     outputs:
       js: ${{ steps.filter.outputs.js }}
       python: ${{ steps.filter.outputs.python }}
+      charts: ${{ steps.filter.outputs.charts }}
+      template: ${{ steps.filter.outputs.template }}
     steps:
       - name: Checkout repository
         uses: actions/checkout@v3
@@ -79,27 +81,147 @@ jobs:
           base: ${{ steps.last_release.outputs.tag_name }}
           filters: |
             js:
-              - 'js/**'
+              - 'js/src/**'
             python:
-              - 'python/**'
+              - 'python/e2b_code_interpreter/**'
+            charts:
+              - 'chart_data_extractor/e2b_charts/**'
+            template:
+              - 'template/**'
+
+  charts-tests:
+    name: Charts tests
+    needs: [changes]
+    if: needs.changes.outputs.charts == 'true'
+    uses: ./.github/workflows/charts_tests.yml
+
+  charts-release:
+    name: Charts release
+    needs: [charts-tests]
+    if: needs.changes.outputs.charts == 'true'
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout Repo
+        uses: actions/checkout@v3
+
+      - name: Install pnpm
+        uses: pnpm/action-setup@v3
+        id: pnpm-install
+        with:
+          version: 9.5
+
+      - name: Set up Python
+        uses: actions/setup-python@v4
+        with:
+          python-version: '3.10'
+
+      - name: Install and configure Poetry
+        uses: snok/install-poetry@v1
+        with:
+          version: 1.5.1
+          virtualenvs-create: true
+          virtualenvs-in-project: true
+          installer-parallel: true
+
+      - name: Configure pnpm
+        run: |
+          pnpm config set auto-install-peers true
+          pnpm config set exclude-links-from-lockfile true
+
+      - name: Install dependencies
+        run: pnpm install --frozen-lockfile
+
+      - name: Create new versions
+        run: pnpm run version
+        env:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+
+      - name: Release new versions
+        run: |
+          poetry build
+          poetry config pypi-token.pypi ${PYPI_TOKEN}
+          poetry publish --skip-existing
+        working-directory:  ./chart_data_extractor
+        env:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+          PYPI_TOKEN: ${{ secrets.CHARTS_PYPI_TOKEN }}
+
+
+  build-docker-image:
+    name: Build Docker Image
+    runs-on: ubuntu-latest
+    needs: [changes, charts-release]
+    if: needs.changes.outputs.template == 'true' || needs.changes.outputs.charts == 'true'
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v3
+        with:
+          fetch-depth: 0
+
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v3
+
+      - name: Log in to DockerHub
+        uses: docker/login-action@v3
+        with:
+          username: ${{ secrets.DOCKERHUB_USERNAME }}
+          password: ${{ secrets.DOCKERHUB_TOKEN }}
+
+      - name: Build and push to DockerHub
+        working-directory: ./template
+        run: |
+          docker pull ${{ secrets.DOCKERHUB_USERNAME }}/code-interpreter:latest || true
+          docker buildx build \
+            --file Dockerfile \
+            --platform linux/amd64 \
+            --push \
+            --tag ${{ secrets.DOCKERHUB_USERNAME }}/code-interpreter:latest .
+
+  build-template:
+    name: Build E2B template
+    runs-on: ubuntu-latest
+    needs: [build-docker-image]
+    if: needs.changes.outputs.template == 'true' || needs.changes.outputs.charts == 'true'
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v3
+        with:
+          fetch-depth: 0
+      - name: Install E2B CLI
+        run: npm install -g @e2b/cli
+
+      - name: Build e2b
+        run: e2b template build
+        working-directory: ./template
+        env:
+          E2B_ACCESS_TOKEN: ${{ secrets.E2B_ACCESS_TOKEN }}
 
   python-tests:
     name: Python Tests
-    needs: [changes]
-    if: needs.changes.outputs.python == 'true'
+    needs: [changes, build-template]
+    if: always() && 
+      !contains(needs.*.result, 'failure') &&
+      !contains(needs.*.result, 'cancelled') &&
+      (needs.changes.outputs.python == 'true' || needs.changes.outputs.template == 'true')
     uses: ./.github/workflows/python_tests.yml
     secrets: inherit
 
   js-tests:
     name: JS Tests
-    needs: [changes]
-    if: needs.changes.outputs.js == 'true'
+    needs: [changes, build-template]
+    if: always() && 
+      !contains(needs.*.result, 'failure') &&
+      !contains(needs.*.result, 'cancelled') &&
+      (needs.changes.outputs.js == 'true' || needs.changes.outputs.template == 'true')
     uses: ./.github/workflows/js_tests.yml
     secrets: inherit
 
   release:
     needs: [python-tests, js-tests]
-    if: (!cancelled()) && !contains(needs.*.result, 'failure') && needs.is_release.outputs.release == 'true'
+    if: always() && 
+      !contains(needs.*.result, 'failure') &&
+      !contains(needs.*.result, 'cancelled') &&
+      (needs.changes.outputs.js == 'true' || needs.changes.outputs.python == 'true')
     name: Release
     runs-on: ubuntu-latest
     steps:
diff --git a/.github/workflows/template.yml b/.github/workflows/template.yml
deleted file mode 100644
index 4540b257..00000000
--- a/.github/workflows/template.yml
+++ /dev/null
@@ -1,50 +0,0 @@
-name: Build and push Code Interpreter template
-
-on:
-  push:
-    paths:
-      - 'template/**'
-      - '.github/workflows/template.yml'
-    branches:
-      - main
-
-permissions:
-  contents: read
-
-jobs:
-  buildAndPublish:
-    defaults:
-      run:
-        working-directory: ./template
-
-    name: Build and Push Images
-    runs-on: ubuntu-20.04
-    steps:
-      - name: Checkout repository
-        uses: actions/checkout@v3
-
-      - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
-
-      - name: Log in to DockerHub
-        uses: docker/login-action@v3
-        with:
-          username: ${{ secrets.DOCKERHUB_USERNAME }}
-          password: ${{ secrets.DOCKERHUB_TOKEN }}
-
-      - name: Build and push to DockerHub
-        run: |
-          docker pull ${{ secrets.DOCKERHUB_USERNAME }}/code-interpreter:latest || true
-          docker buildx build \
-            --file Dockerfile \
-            --platform linux/amd64 \
-            --push \
-            --tag ${{ secrets.DOCKERHUB_USERNAME }}/code-interpreter:latest .
-
-      - name: Install E2B CLI
-        run: npm install -g @e2b/cli
-
-      - name: Build e2b
-        run: e2b template build
-        env:
-          E2B_ACCESS_TOKEN: ${{ secrets.E2B_ACCESS_TOKEN }}
diff --git a/chart_data_extractor/README.md b/chart_data_extractor/README.md
new file mode 100644
index 00000000..7c23e47f
--- /dev/null
+++ b/chart_data_extractor/README.md
@@ -0,0 +1,3 @@
+# Extracting Data for Code Interpreter SDK
+
+This package is a utility used to extract data in the Code Interpreter SDK from, e.g., DataFrames and matplotlib plots.
diff --git a/chart_data_extractor/e2b_charts/__init__.py b/chart_data_extractor/e2b_charts/__init__.py
new file mode 100644
index 00000000..3dbdc8fa
--- /dev/null
+++ b/chart_data_extractor/e2b_charts/__init__.py
@@ -0,0 +1 @@
+from .main import graph_figure_to_graph
diff --git a/chart_data_extractor/e2b_charts/graphs/__init__.py b/chart_data_extractor/e2b_charts/graphs/__init__.py
new file mode 100644
index 00000000..f9914582
--- /dev/null
+++ b/chart_data_extractor/e2b_charts/graphs/__init__.py
@@ -0,0 +1,4 @@
+from .base import GraphType, Graph
+from .bars import BarGraph, BoxAndWhiskerGraph
+from .pie import PieGraph
+from .planar import ScatterGraph, LineGraph
diff --git a/chart_data_extractor/e2b_charts/graphs/bars.py b/chart_data_extractor/e2b_charts/graphs/bars.py
new file mode 100644
index 00000000..9949333e
--- /dev/null
+++ b/chart_data_extractor/e2b_charts/graphs/bars.py
@@ -0,0 +1,141 @@
+from typing import Literal, List
+
+from matplotlib.axes import Axes
+from pydantic import BaseModel, Field
+
+from .base import Graph2D, GraphType
+from ..utils.rounding import dynamic_round
+
+
+class BarData(BaseModel):
+    label: str
+    group: str
+    value: float
+
+
+class BarGraph(Graph2D):
+    type: Literal[GraphType.BAR] = GraphType.BAR
+
+    elements: List[BarData] = Field(default_factory=list)
+
+    def _extract_info(self, ax: Axes) -> None:
+        super()._extract_info(ax)
+        for container in ax.containers:
+            group_label = container.get_label()
+            if group_label.startswith("_container"):
+                number = int(group_label[10:])
+                group_label = f"Group {number}"
+
+            heights = [rect.get_height() for rect in container]
+            if all(height == heights[0] for height in heights):
+                # vertical bars
+                self._change_orientation()
+                labels = [label.get_text() for label in ax.get_yticklabels()]
+                values = [rect.get_width() for rect in container]
+            else:
+                # horizontal bars
+                labels = [label.get_text() for label in ax.get_xticklabels()]
+                values = heights
+            for label, value in zip(labels, values):
+
+                bar = BarData(label=label, value=value, group=group_label)
+                self.elements.append(bar)
+
+
+class BoxAndWhiskerData(BaseModel):
+    label: str
+    min: float
+    first_quartile: float
+    median: float
+    third_quartile: float
+    max: float
+    outliers: List[float]
+
+
+class BoxAndWhiskerGraph(Graph2D):
+    type: Literal[GraphType.BOX_AND_WHISKER] = GraphType.BOX_AND_WHISKER
+
+    elements: List[BoxAndWhiskerData] = Field(default_factory=list)
+
+    def _extract_info(self, ax: Axes) -> None:
+        super()._extract_info(ax)
+        labels = [item.get_text() for item in ax.get_xticklabels()]
+
+        boxes = []
+        for label, box in zip(labels, ax.patches):
+            vertices = box.get_path().vertices
+            x_vertices = [dynamic_round(x) for x in vertices[:, 0]]
+            y_vertices = [dynamic_round(y) for y in vertices[:, 1]]
+            x = min(x_vertices)
+            y = min(y_vertices)
+            boxes.append(
+                {
+                    "x": x,
+                    "y": y,
+                    "label": label,
+                    "width": max(x_vertices) - x,
+                    "height": max(y_vertices) - y,
+                    "outliers": [],
+                }
+            )
+
+        orientation = "horizontal"
+        if all(box["height"] == boxes[0]["height"] for box in boxes):
+            orientation = "vertical"
+
+        if orientation == "vertical":
+            self._change_orientation()
+            for box in boxes:
+                box["x"], box["y"] = box["y"], box["x"]
+                box["width"], box["height"] = box["height"], box["width"]
+
+        for i, line in enumerate(ax.lines):
+            xdata = [dynamic_round(x) for x in line.get_xdata()]
+            ydata = [dynamic_round(y) for y in line.get_ydata()]
+
+            if orientation == "vertical":
+                xdata, ydata = ydata, xdata
+
+            if len(xdata) == 1:
+                for box in boxes:
+                    if box["x"] <= xdata[0] <= box["x"] + box["width"]:
+                        break
+                else:
+                    continue
+
+                box["outliers"].append(ydata[0])
+            if len(ydata) != 2:
+                continue
+            for box in boxes:
+                if box["x"] <= xdata[0] <= xdata[1] <= box["x"] + box["width"]:
+                    break
+            else:
+                continue
+
+            if (
+                # Check if the line is inside the box, prevent floating point errors
+                ydata[0] == ydata[1]
+                and box["y"] <= ydata[0] <= box["y"] + box["height"]
+            ):
+                box["median"] = ydata[0]
+                continue
+
+            lower_value = min(ydata)
+            upper_value = max(ydata)
+            if upper_value == box["y"]:
+                box["whisker_lower"] = lower_value
+            elif lower_value == box["y"] + box["height"]:
+                box["whisker_upper"] = upper_value
+
+        self.elements = [
+            BoxAndWhiskerData(
+                label=box["label"],
+                min=box["whisker_lower"],
+                first_quartile=box["y"],
+                median=box["median"],
+                third_quartile=box["y"] + box["height"],
+                max=box["whisker_upper"],
+                outliers=box["outliers"],
+            )
+            for box in boxes
+        ]
diff --git a/chart_data_extractor/e2b_charts/graphs/base.py b/chart_data_extractor/e2b_charts/graphs/base.py
new file mode 100644
index 00000000..2dbc1afe
--- /dev/null
+++ b/chart_data_extractor/e2b_charts/graphs/base.py
@@ -0,0 +1,75 @@
+import enum
+import re
+from typing import Optional, List, Any
+
+from matplotlib.axes import Axes
+from pydantic import BaseModel, Field
+
+
+class GraphType(str, enum.Enum):
+    LINE = "line"
+    SCATTER = "scatter"
+    BAR = "bar"
+    PIE = "pie"
+    BOX_AND_WHISKER = "box_and_whisker"
+    SUPERGRAPH = "supergraph"
+    UNKNOWN = "unknown"
+
+
+class Graph(BaseModel):
+    type: GraphType
+    title: Optional[str] = None
+
+    elements: List[Any] = Field(default_factory=list)
+
+    def __init__(self, ax: Optional[Axes] = None, **kwargs):
+        super().__init__(**kwargs)
+        if ax:
+            self._extract_info(ax)
+
+    def _extract_info(self, ax: Axes) -> None:
+        """
+        Function to extract information for Graph
+        """
+        title = ax.get_title()
+        if title == "":
+            title = None
+
+        self.title = title
+
+
+class Graph2D(Graph):
+    x_label: Optional[str] = None
+    y_label: Optional[str] = None
+    x_unit: Optional[str] = None
+    y_unit: Optional[str] = None
+
+    def _extract_info(self, ax: Axes) -> None:
+        """
+        Function to extract information for Graph2D
+        """
+        super()._extract_info(ax)
+        x_label = ax.get_xlabel()
+        if x_label == "":
+            x_label = None
+        self.x_label = x_label
+
+        y_label = ax.get_ylabel()
+        if y_label == "":
+            y_label = None
+        self.y_label = y_label
+
+        regex = r"\s\((.*?)\)|\[(.*?)\]"
+        if self.x_label:
+            match = re.search(regex, self.x_label)
+            if match:
+                self.x_unit = match.group(1) or match.group(2)
+
+        if self.y_label:
+            match = re.search(regex, self.y_label)
+            if match:
+                self.y_unit = match.group(1) or match.group(2)
+
+    def _change_orientation(self):
+        self.x_label, self.y_label = self.y_label, self.x_label
+        self.x_unit, self.y_unit = self.y_unit, self.x_unit
diff --git a/chart_data_extractor/e2b_charts/graphs/pie.py b/chart_data_extractor/e2b_charts/graphs/pie.py
new file mode 100644
index 00000000..e3039ab9
--- /dev/null
+++ b/chart_data_extractor/e2b_charts/graphs/pie.py
@@ -0,0 +1,32 @@
+from decimal import Decimal
+from typing import Literal, List
+
+from matplotlib.axes import Axes
+from pydantic import BaseModel, Field
+
+from .base import Graph, GraphType
+from ..utils.rounding import dynamic_round
+
+
+class PieData(BaseModel):
+    label: str
+    angle: float
+    radius: float
+
+
+class PieGraph(Graph):
+    type: Literal[GraphType.PIE] = GraphType.PIE
+
+    elements: List[PieData] = Field(default_factory=list)
+
+    def _extract_info(self, ax: Axes) -> None:
+        super()._extract_info(ax)
+
+        for wedge in ax.patches:
+            pie_data = PieData(
+                label=wedge.get_label(),
+                angle=abs(dynamic_round(Decimal(wedge.theta2) - Decimal(wedge.theta1))),
+                radius=wedge.r,
+            )
+
+            self.elements.append(pie_data)
diff --git a/chart_data_extractor/e2b_charts/graphs/planar.py b/chart_data_extractor/e2b_charts/graphs/planar.py
new file mode 100644
index 00000000..9753629b
--- /dev/null
+++ b/chart_data_extractor/e2b_charts/graphs/planar.py
@@ -0,0 +1,132 @@
+from datetime import date
+from typing import List, Tuple, Union, Sequence, Any, Literal
+
+import matplotlib
+import numpy
+from matplotlib.axes import Axes
+from matplotlib.dates import _SwitchableDateConverter
+from pydantic import BaseModel, field_validator, Field
+
+from .base import Graph2D, GraphType
+from ..utils import is_grid_line
+
+
+class PointData(BaseModel):
+    label: str
+    points: List[Tuple[Union[str, float], Union[str, float]]]
+
+    @field_validator("points", mode="before")
+    @classmethod
+    def transform_points(
+        cls, value
+    ) -> List[Tuple[Union[str, float], Union[str, float]]]:
+        parsed_value = []
+        for x, y in value:
+            x = cls._parse_point(x)
+            y = cls._parse_point(y)
+            parsed_value.append((x, y))
+        return parsed_value
+
+    @staticmethod
+    def _parse_point(point):
+        if isinstance(point, date):
+            return point.isoformat()
+        if isinstance(point, numpy.datetime64):
+            return point.astype("datetime64[s]").astype(str)
+        return point
+
+
+class PointGraph(Graph2D):
+    x_ticks: List[Union[str, float]] = Field(default_factory=list)
+    x_tick_labels: List[str] = Field(default_factory=list)
+    x_scale: str = Field(default="linear")
+
+    y_ticks: List[Union[str, float]] = Field(default_factory=list)
+    y_tick_labels: List[str] = Field(default_factory=list)
+    y_scale: str = Field(default="linear")
+
+    elements: List[PointData] = Field(default_factory=list)
+
+    def _extract_info(self, ax: Axes) -> None:
+        """
+        Function to extract information for PointGraph
+        """
+        super()._extract_info(ax)
+
+        self.x_tick_labels = [label.get_text() for label in ax.get_xticklabels()]
+
+        x_ticks = ax.get_xticks()
+        self.x_ticks = self._extract_ticks_info(ax.xaxis.converter, x_ticks)
+        self.x_scale = self._detect_scale(
+            ax.xaxis.converter, ax.get_xscale(), self.x_ticks, self.x_tick_labels
+        )
+
+        self.y_tick_labels = [label.get_text() for label in ax.get_yticklabels()]
+        self.y_ticks = self._extract_ticks_info(ax.yaxis.converter, ax.get_yticks())
+        self.y_scale = self._detect_scale(
+            ax.yaxis.converter, ax.get_yscale(), self.y_ticks, self.y_tick_labels
+        )
+
+    @staticmethod
+    def _detect_scale(converter, scale: str, ticks: Sequence, labels: Sequence) -> str:
+        # If the converter is a date converter, it's a datetime scale
+        if isinstance(converter, _SwitchableDateConverter):
+            return "datetime"
+
+        # If the scale is not linear, it can't be categorical
+        if scale != "linear":
+            return scale
+
+        # If all the ticks are integers and are in order from 0 to n-1
+        # and the labels aren't corresponding to the ticks, it's categorical
+        for i, tick_and_label in enumerate(zip(ticks, labels)):
+            tick, label = tick_and_label
+            if isinstance(tick, (int, float)) and tick == i and str(i) != label:
+                continue
+            # Found a tick, which wouldn't be in a categorical scale
+            return "linear"
+
+        return "categorical"
+
+    @staticmethod
+    def _extract_ticks_info(converter: Any, ticks: Sequence) -> list:
+        if isinstance(converter, _SwitchableDateConverter):
+            return [matplotlib.dates.num2date(tick).isoformat() for tick in ticks]
+        else:
+            example_tick = ticks[0]
+
+            if isinstance(example_tick, (int, float)):
+                return [float(tick) for tick in ticks]
+            else:
+                return list(ticks)
+
+
+class LineGraph(PointGraph):
+    type: Literal[GraphType.LINE] = GraphType.LINE
+
+    def _extract_info(self, ax: Axes) -> None:
+        super()._extract_info(ax)
+
+        for line in ax.get_lines():
+            if is_grid_line(line):
+                continue
+            label = line.get_label()
+            if label.startswith("_child"):
+                number = int(label[6:])
+                label = f"Line {number}"
+
+            points = [(x, y) for x, y in zip(line.get_xdata(), line.get_ydata())]
+            line_data = PointData(label=label, points=points)
+            self.elements.append(line_data)
+
+
+class ScatterGraph(PointGraph):
+    type: Literal[GraphType.SCATTER] = GraphType.SCATTER
+
+    def _extract_info(self, ax: Axes) -> None:
+        super()._extract_info(ax)
+
+        for collection in ax.collections:
+            points = [(x, y) for x, y in collection.get_offsets()]
+            scatter_data = PointData(label=collection.get_label(), points=points)
+            self.elements.append(scatter_data)
diff --git a/chart_data_extractor/e2b_charts/main.py b/chart_data_extractor/e2b_charts/main.py
new file mode 100644
index 00000000..2642525e
--- /dev/null
+++ b/chart_data_extractor/e2b_charts/main.py
@@ -0,0 +1,111 @@
+from typing import Optional, List, Literal
+
+from matplotlib.axes import Axes
+from matplotlib.collections import PathCollection
+from matplotlib.lines import Line2D
+from matplotlib.patches import Rectangle, Wedge, PathPatch
+from matplotlib.pyplot import Figure
+
+from matplotlib.text import Text
+from pydantic import Field
+
+from .graphs import (
+    GraphType,
+    Graph,
+    LineGraph,
+    BarGraph,
+    BoxAndWhiskerGraph,
+    PieGraph,
+    ScatterGraph,
+)
+from .utils.filtering import is_grid_line
+
+
+class SuperGraph(Graph):
+    type: Literal[GraphType.SUPERGRAPH] = GraphType.SUPERGRAPH
+    elements: List[
+        LineGraph | ScatterGraph | BarGraph | PieGraph | BoxAndWhiskerGraph
+    ] = Field(default_factory=list)
+
+    def __init__(self, figure: Figure):
+        title = figure.get_suptitle()
+        super().__init__(title=title)
+
+        self.elements = [get_graph_from_ax(ax) for ax in figure.axes]
+
+
+def _get_type_of_graph(ax: Axes) -> GraphType:
+    objects = list(filter(lambda obj: not isinstance(obj, Text), ax._children))
+
+    # Check for Line plots
+    if all(isinstance(line, Line2D) for line in objects):
+        return GraphType.LINE
+
+    if all(isinstance(box_or_path, (PathPatch, Line2D)) for box_or_path in objects):
+        return GraphType.BOX_AND_WHISKER
+
+    filtered = []
+    for obj in objects:
+        if isinstance(obj, Line2D) and is_grid_line(obj):
+            continue
+        filtered.append(obj)
+
+    objects = filtered
+
+    # Check for Scatter plots
+    if all(isinstance(path, PathCollection) for path in objects):
+        return GraphType.SCATTER
+
+    # Check for Pie plots
+    if all(isinstance(artist, Wedge) for artist in objects):
+        return GraphType.PIE
+
+    # Check for Bar plots
+    if all(isinstance(rect, Rectangle) for rect in objects):
+        return GraphType.BAR
+
+    return GraphType.UNKNOWN
+
+
+def get_graph_from_ax(
+    ax: Axes,
+) -> LineGraph | ScatterGraph | BarGraph | PieGraph | BoxAndWhiskerGraph | Graph:
+    graph_type = _get_type_of_graph(ax)
+
+    if graph_type == GraphType.LINE:
+        graph = LineGraph(ax=ax)
+    elif graph_type == GraphType.SCATTER:
+        graph = ScatterGraph(ax=ax)
+    elif graph_type == GraphType.BAR:
+        graph = BarGraph(ax=ax)
+    elif graph_type == GraphType.PIE:
+        graph = PieGraph(ax=ax)
+    elif graph_type == GraphType.BOX_AND_WHISKER:
+        graph = BoxAndWhiskerGraph(ax=ax)
+    else:
+        graph = Graph(ax=ax, type=graph_type)
+
+    return graph
+
+
+def graph_figure_to_graph(figure: Figure) -> Optional[Graph]:
+    """
+    This method is used to extract data from the figure object to a dictionary
+    """
+    # Get all Axes objects from the Figure
+    axes = figure.get_axes()
+
+    if not axes:
+        return
+    elif len(axes) > 1:
+        return SuperGraph(figure=figure)
+    else:
+        ax = axes[0]
+        return get_graph_from_ax(ax)
+
+
+def graph_figure_to_dict(figure: Figure) -> dict:
+    graph = graph_figure_to_graph(figure)
+    if graph:
+        return graph.model_dump()
+    return {}
diff --git a/chart_data_extractor/e2b_charts/utils/__init__.py b/chart_data_extractor/e2b_charts/utils/__init__.py
new file mode 100644
index 00000000..7822a91f
--- /dev/null
+++ b/chart_data_extractor/e2b_charts/utils/__init__.py
@@ -0,0 +1 @@
+from .filtering import is_grid_line
diff --git a/chart_data_extractor/e2b_charts/utils/filtering.py b/chart_data_extractor/e2b_charts/utils/filtering.py
new file mode 100644
index 00000000..8394c27b
--- /dev/null
+++ b/chart_data_extractor/e2b_charts/utils/filtering.py
@@ -0,0 +1,16 @@
+from matplotlib.lines import Line2D
+
+
+def is_grid_line(line: Line2D) -> bool:
+    x_data = line.get_xdata()
+    if len(x_data) != 2:
+        return False
+
+    y_data = line.get_ydata()
+    if len(y_data) != 2:
+        return False
+
+    if x_data[0] == x_data[1] or y_data[0] == y_data[1]:
+        return True
+
+    return False
diff --git a/chart_data_extractor/e2b_charts/utils/rounding.py b/chart_data_extractor/e2b_charts/utils/rounding.py
new file mode 100644
index 00000000..4efbb667
--- /dev/null
+++ b/chart_data_extractor/e2b_charts/utils/rounding.py
@@ -0,0 +1,13 @@
+from decimal import Decimal, localcontext
+
+
+def dynamic_round(number):
+    # Convert to Decimal for precise control
+    decimal_number = Decimal(str(number))
+
+    # Dynamically determine precision based on magnitude
+    precision = max(1, 8 - decimal_number.adjusted())  # 8 digits of precision
+
+    with localcontext() as ctx:
+        ctx.prec = precision  # Set the dynamic precision
+        return +decimal_number  # The + operator applies rounding
diff --git a/chart_data_extractor/package.json b/chart_data_extractor/package.json
new file mode 100644
index 00000000..7665dee7
--- /dev/null
+++ b/chart_data_extractor/package.json
@@ -0,0 +1,11 @@
+{
+  "name": "@e2b/data-extractor",
+  "private": true,
+  "version": "0.0.1",
+  "scripts": {
+    "test": "poetry run pytest -n 4 --verbose -x",
+    "example": "poetry run python3 example.py",
+    "postVersion": "poetry version $(pnpm pkg get version --workspaces=false | tr -d \\\")",
+    "pretest": "poetry install"
+  }
+}
diff --git a/chart_data_extractor/poetry.lock b/chart_data_extractor/poetry.lock
new file mode 100644
index 00000000..1a4794e9
--- /dev/null
+++ b/chart_data_extractor/poetry.lock
@@ -0,0 +1,813 @@
+# This file is automatically @generated by Poetry 1.8.1 and should not be changed by hand.
+
+[[package]]
+name = "annotated-types"
+version = "0.7.0"
+description = "Reusable constraint types to use with typing.Annotated"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
+    {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
+]
+
+[[package]]
+name = "colorama"
+version = "0.4.6"
+description = "Cross-platform colored terminal text."
+optional = false
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
+files = [
+    {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"},
+    {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
+]
+
+[[package]]
+name = "contourpy"
+version = "1.3.0"
+description = "Python library for calculating contours of 2D quadrilateral grids"
+optional = false
+python-versions = ">=3.9"
+files = [
+    {file = "contourpy-1.3.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:880ea32e5c774634f9fcd46504bf9f080a41ad855f4fef54f5380f5133d343c7"},
+    {file = "contourpy-1.3.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:76c905ef940a4474a6289c71d53122a4f77766eef23c03cd57016ce19d0f7b42"},
+    {file = "contourpy-1.3.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:92f8557cbb07415a4d6fa191f20fd9d2d9eb9c0b61d1b2f52a8926e43c6e9af7"},
+    {file = "contourpy-1.3.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:36f965570cff02b874773c49bfe85562b47030805d7d8360748f3eca570f4cab"},
+    {file = "contourpy-1.3.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:cacd81e2d4b6f89c9f8a5b69b86490152ff39afc58a95af002a398273e5ce589"},
+    {file = "contourpy-1.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:69375194457ad0fad3a839b9e29aa0b0ed53bb54db1bfb6c3ae43d111c31ce41"},
+    {file = "contourpy-1.3.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:7a52040312b1a858b5e31ef28c2e865376a386c60c0e248370bbea2d3f3b760d"},
+    {file = "contourpy-1.3.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:3faeb2998e4fcb256542e8a926d08da08977f7f5e62cf733f3c211c2a5586223"},
+    {file = "contourpy-1.3.0-cp310-cp310-win32.whl", hash = "sha256:36e0cff201bcb17a0a8ecc7f454fe078437fa6bda730e695a92f2d9932bd507f"},
+    {file = "contourpy-1.3.0-cp310-cp310-win_amd64.whl", hash = "sha256:87ddffef1dbe5e669b5c2440b643d3fdd8622a348fe1983fad7a0f0ccb1cd67b"},
+    {file = "contourpy-1.3.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:0fa4c02abe6c446ba70d96ece336e621efa4aecae43eaa9b030ae5fb92b309ad"},
+    {file = "contourpy-1.3.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:834e0cfe17ba12f79963861e0f908556b2cedd52e1f75e6578801febcc6a9f49"},
+    {file = "contourpy-1.3.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dbc4c3217eee163fa3984fd1567632b48d6dfd29216da3ded3d7b844a8014a66"},
+    {file = "contourpy-1.3.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4865cd1d419e0c7a7bf6de1777b185eebdc51470800a9f42b9e9decf17762081"},
+    {file = "contourpy-1.3.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:303c252947ab4b14c08afeb52375b26781ccd6a5ccd81abcdfc1fafd14cf93c1"},
+    {file = "contourpy-1.3.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:637f674226be46f6ba372fd29d9523dd977a291f66ab2a74fbeb5530bb3f445d"},
+    {file = "contourpy-1.3.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:76a896b2f195b57db25d6b44e7e03f221d32fe318d03ede41f8b4d9ba1bff53c"},
+    {file = "contourpy-1.3.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:e1fd23e9d01591bab45546c089ae89d926917a66dceb3abcf01f6105d927e2cb"},
+    {file = "contourpy-1.3.0-cp311-cp311-win32.whl", hash = "sha256:d402880b84df3bec6eab53cd0cf802cae6a2ef9537e70cf75e91618a3801c20c"},
+    {file = "contourpy-1.3.0-cp311-cp311-win_amd64.whl", hash = "sha256:6cb6cc968059db9c62cb35fbf70248f40994dfcd7aa10444bbf8b3faeb7c2d67"},
+    {file = "contourpy-1.3.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:570ef7cf892f0afbe5b2ee410c507ce12e15a5fa91017a0009f79f7d93a1268f"},
+    {file = "contourpy-1.3.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:da84c537cb8b97d153e9fb208c221c45605f73147bd4cadd23bdae915042aad6"},
+    {file = "contourpy-1.3.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0be4d8425bfa755e0fd76ee1e019636ccc7c29f77a7c86b4328a9eb6a26d0639"},
+    {file = "contourpy-1.3.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9c0da700bf58f6e0b65312d0a5e695179a71d0163957fa381bb3c1f72972537c"},
+    {file = "contourpy-1.3.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:eb8b141bb00fa977d9122636b16aa67d37fd40a3d8b52dd837e536d64b9a4d06"},
+    {file = "contourpy-1.3.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3634b5385c6716c258d0419c46d05c8aa7dc8cb70326c9a4fb66b69ad2b52e09"},
+    {file = "contourpy-1.3.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:0dce35502151b6bd35027ac39ba6e5a44be13a68f55735c3612c568cac3805fd"},
+    {file = "contourpy-1.3.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:aea348f053c645100612b333adc5983d87be69acdc6d77d3169c090d3b01dc35"},
+    {file = "contourpy-1.3.0-cp312-cp312-win32.whl", hash = "sha256:90f73a5116ad1ba7174341ef3ea5c3150ddf20b024b98fb0c3b29034752c8aeb"},
+    {file = "contourpy-1.3.0-cp312-cp312-win_amd64.whl", hash = "sha256:b11b39aea6be6764f84360fce6c82211a9db32a7c7de8fa6dd5397cf1d079c3b"},
+    {file = "contourpy-1.3.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:3e1c7fa44aaae40a2247e2e8e0627f4bea3dd257014764aa644f319a5f8600e3"},
+    {file = "contourpy-1.3.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:364174c2a76057feef647c802652f00953b575723062560498dc7930fc9b1cb7"},
+    {file = "contourpy-1.3.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:32b238b3b3b649e09ce9aaf51f0c261d38644bdfa35cbaf7b263457850957a84"},
+    {file = "contourpy-1.3.0-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d51fca85f9f7ad0b65b4b9fe800406d0d77017d7270d31ec3fb1cc07358fdea0"},
+    {file = "contourpy-1.3.0-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:732896af21716b29ab3e988d4ce14bc5133733b85956316fb0c56355f398099b"},
+    {file = "contourpy-1.3.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d73f659398a0904e125280836ae6f88ba9b178b2fed6884f3b1f95b989d2c8da"},
+    {file = "contourpy-1.3.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:c6c7c2408b7048082932cf4e641fa3b8ca848259212f51c8c59c45aa7ac18f14"},
+    {file = "contourpy-1.3.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:f317576606de89da6b7e0861cf6061f6146ead3528acabff9236458a6ba467f8"},
+    {file = "contourpy-1.3.0-cp313-cp313-win32.whl", hash = "sha256:31cd3a85dbdf1fc002280c65caa7e2b5f65e4a973fcdf70dd2fdcb9868069294"},
+    {file = "contourpy-1.3.0-cp313-cp313-win_amd64.whl", hash = "sha256:4553c421929ec95fb07b3aaca0fae668b2eb5a5203d1217ca7c34c063c53d087"},
+    {file = "contourpy-1.3.0-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:345af746d7766821d05d72cb8f3845dfd08dd137101a2cb9b24de277d716def8"},
+    {file = "contourpy-1.3.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:3bb3808858a9dc68f6f03d319acd5f1b8a337e6cdda197f02f4b8ff67ad2057b"},
+    {file = "contourpy-1.3.0-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:420d39daa61aab1221567b42eecb01112908b2cab7f1b4106a52caaec8d36973"},
+    {file = "contourpy-1.3.0-cp313-cp313t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4d63ee447261e963af02642ffcb864e5a2ee4cbfd78080657a9880b8b1868e18"},
+    {file = "contourpy-1.3.0-cp313-cp313t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:167d6c890815e1dac9536dca00828b445d5d0df4d6a8c6adb4a7ec3166812fa8"},
+    {file = "contourpy-1.3.0-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:710a26b3dc80c0e4febf04555de66f5fd17e9cf7170a7b08000601a10570bda6"},
+    {file = "contourpy-1.3.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:75ee7cb1a14c617f34a51d11fa7524173e56551646828353c4af859c56b766e2"},
+    {file = "contourpy-1.3.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:33c92cdae89ec5135d036e7218e69b0bb2851206077251f04a6c4e0e21f03927"},
+    {file = "contourpy-1.3.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:a11077e395f67ffc2c44ec2418cfebed032cd6da3022a94fc227b6faf8e2acb8"},
+    {file = "contourpy-1.3.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:e8134301d7e204c88ed7ab50028ba06c683000040ede1d617298611f9dc6240c"},
+    {file = "contourpy-1.3.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e12968fdfd5bb45ffdf6192a590bd8ddd3ba9e58360b29683c6bb71a7b41edca"},
+    {file = "contourpy-1.3.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:fd2a0fc506eccaaa7595b7e1418951f213cf8255be2600f1ea1b61e46a60c55f"},
+    {file = "contourpy-1.3.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4cfb5c62ce023dfc410d6059c936dcf96442ba40814aefbfa575425a3a7f19dc"},
+    {file = "contourpy-1.3.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:68a32389b06b82c2fdd68276148d7b9275b5f5cf13e5417e4252f6d1a34f72a2"},
+    {file = "contourpy-1.3.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:94e848a6b83da10898cbf1311a815f770acc9b6a3f2d646f330d57eb4e87592e"},
+    {file = "contourpy-1.3.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:d78ab28a03c854a873787a0a42254a0ccb3cb133c672f645c9f9c8f3ae9d0800"},
+    {file = "contourpy-1.3.0-cp39-cp39-win32.whl", hash = "sha256:81cb5ed4952aae6014bc9d0421dec7c5835c9c8c31cdf51910b708f548cf58e5"},
+    {file = "contourpy-1.3.0-cp39-cp39-win_amd64.whl", hash = "sha256:14e262f67bd7e6eb6880bc564dcda30b15e351a594657e55b7eec94b6ef72843"},
+    {file = "contourpy-1.3.0-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:fe41b41505a5a33aeaed2a613dccaeaa74e0e3ead6dd6fd3a118fb471644fd6c"},
+    {file = "contourpy-1.3.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:eca7e17a65f72a5133bdbec9ecf22401c62bcf4821361ef7811faee695799779"},
+    {file = "contourpy-1.3.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:1ec4dc6bf570f5b22ed0d7efba0dfa9c5b9e0431aeea7581aa217542d9e809a4"},
+    {file = "contourpy-1.3.0-pp39-pypy39_pp73-macosx_10_15_x86_64.whl", hash = "sha256:00ccd0dbaad6d804ab259820fa7cb0b8036bda0686ef844d24125d8287178ce0"},
+    {file = "contourpy-1.3.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8ca947601224119117f7c19c9cdf6b3ab54c5726ef1d906aa4a69dfb6dd58102"},
+    {file = "contourpy-1.3.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:c6ec93afeb848a0845a18989da3beca3eec2c0f852322efe21af1931147d12cb"},
+    {file = "contourpy-1.3.0.tar.gz", hash = "sha256:7ffa0db17717a8ffb127efd0c95a4362d996b892c2904db72428d5b52e1938a4"},
+]
+
+[package.dependencies]
+numpy = ">=1.23"
+
+[package.extras]
+bokeh = ["bokeh", "selenium"]
+docs = ["furo", "sphinx (>=7.2)", "sphinx-copybutton"]
+mypy = ["contourpy[bokeh,docs]", "docutils-stubs", "mypy (==1.11.1)", "types-Pillow"]
+test = ["Pillow", "contourpy[test-no-images]", "matplotlib"]
+test-no-images = ["pytest", "pytest-cov", "pytest-rerunfailures", "pytest-xdist", "wurlitzer"]
+
+[[package]]
+name = "cycler"
+version = "0.12.1"
+description = "Composable style cycles"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "cycler-0.12.1-py3-none-any.whl", hash = "sha256:85cef7cff222d8644161529808465972e51340599459b8ac3ccbac5a854e0d30"},
+    {file = "cycler-0.12.1.tar.gz", hash = "sha256:88bb128f02ba341da8ef447245a9e138fae777f6a23943da4540077d3601eb1c"},
+]
+
+[package.extras]
+docs = ["ipython", "matplotlib", "numpydoc", "sphinx"]
+tests = ["pytest", "pytest-cov", "pytest-xdist"]
+
+[[package]]
+name = "exceptiongroup"
+version = "1.2.2"
+description = "Backport of PEP 654 (exception groups)"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "exceptiongroup-1.2.2-py3-none-any.whl", hash = "sha256:3111b9d131c238bec2f8f516e123e14ba243563fb135d3fe885990585aa7795b"},
+    {file = "exceptiongroup-1.2.2.tar.gz", hash = "sha256:47c2edf7c6738fafb49fd34290706d1a1a2f4d1c6df275526b62cbb4aa5393cc"},
+]
+
+[package.extras]
+test = ["pytest (>=6)"]
+
+[[package]]
+name = "fonttools"
+version = "4.54.1"
+description = "Tools to manipulate font files"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "fonttools-4.54.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:7ed7ee041ff7b34cc62f07545e55e1468808691dddfd315d51dd82a6b37ddef2"},
+    {file = "fonttools-4.54.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:41bb0b250c8132b2fcac148e2e9198e62ff06f3cc472065dff839327945c5882"},
+    {file = "fonttools-4.54.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7965af9b67dd546e52afcf2e38641b5be956d68c425bef2158e95af11d229f10"},
+    {file = "fonttools-4.54.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:278913a168f90d53378c20c23b80f4e599dca62fbffae4cc620c8eed476b723e"},
+    {file = "fonttools-4.54.1-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:0e88e3018ac809b9662615072dcd6b84dca4c2d991c6d66e1970a112503bba7e"},
+    {file = "fonttools-4.54.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:4aa4817f0031206e637d1e685251ac61be64d1adef111060df84fdcbc6ab6c44"},
+    {file = "fonttools-4.54.1-cp310-cp310-win32.whl", hash = "sha256:7e3b7d44e18c085fd8c16dcc6f1ad6c61b71ff463636fcb13df7b1b818bd0c02"},
+    {file = "fonttools-4.54.1-cp310-cp310-win_amd64.whl", hash = "sha256:dd9cc95b8d6e27d01e1e1f1fae8559ef3c02c76317da650a19047f249acd519d"},
+    {file = "fonttools-4.54.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:5419771b64248484299fa77689d4f3aeed643ea6630b2ea750eeab219588ba20"},
+    {file = "fonttools-4.54.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:301540e89cf4ce89d462eb23a89464fef50915255ece765d10eee8b2bf9d75b2"},
+    {file = "fonttools-4.54.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:76ae5091547e74e7efecc3cbf8e75200bc92daaeb88e5433c5e3e95ea8ce5aa7"},
+    {file = "fonttools-4.54.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:82834962b3d7c5ca98cb56001c33cf20eb110ecf442725dc5fdf36d16ed1ab07"},
+    {file = "fonttools-4.54.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:d26732ae002cc3d2ecab04897bb02ae3f11f06dd7575d1df46acd2f7c012a8d8"},
+    {file = "fonttools-4.54.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:58974b4987b2a71ee08ade1e7f47f410c367cdfc5a94fabd599c88165f56213a"},
+    {file = "fonttools-4.54.1-cp311-cp311-win32.whl", hash = "sha256:ab774fa225238986218a463f3fe151e04d8c25d7de09df7f0f5fce27b1243dbc"},
+    {file = "fonttools-4.54.1-cp311-cp311-win_amd64.whl", hash = "sha256:07e005dc454eee1cc60105d6a29593459a06321c21897f769a281ff2d08939f6"},
+    {file = "fonttools-4.54.1-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:54471032f7cb5fca694b5f1a0aaeba4af6e10ae989df408e0216f7fd6cdc405d"},
+    {file = "fonttools-4.54.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:8fa92cb248e573daab8d032919623cc309c005086d743afb014c836636166f08"},
+    {file = "fonttools-4.54.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0a911591200114969befa7f2cb74ac148bce5a91df5645443371aba6d222e263"},
+    {file = "fonttools-4.54.1-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:93d458c8a6a354dc8b48fc78d66d2a8a90b941f7fec30e94c7ad9982b1fa6bab"},
+    {file = "fonttools-4.54.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:5eb2474a7c5be8a5331146758debb2669bf5635c021aee00fd7c353558fc659d"},
+    {file = "fonttools-4.54.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:c9c563351ddc230725c4bdf7d9e1e92cbe6ae8553942bd1fb2b2ff0884e8b714"},
+    {file = "fonttools-4.54.1-cp312-cp312-win32.whl", hash = "sha256:fdb062893fd6d47b527d39346e0c5578b7957dcea6d6a3b6794569370013d9ac"},
+    {file = "fonttools-4.54.1-cp312-cp312-win_amd64.whl", hash = "sha256:e4564cf40cebcb53f3dc825e85910bf54835e8a8b6880d59e5159f0f325e637e"},
+    {file = "fonttools-4.54.1-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:6e37561751b017cf5c40fce0d90fd9e8274716de327ec4ffb0df957160be3bff"},
+    {file = "fonttools-4.54.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:357cacb988a18aace66e5e55fe1247f2ee706e01debc4b1a20d77400354cddeb"},
+    {file = "fonttools-4.54.1-cp313-cp313-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f8e953cc0bddc2beaf3a3c3b5dd9ab7554677da72dfaf46951e193c9653e515a"},
+    {file = "fonttools-4.54.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:58d29b9a294573d8319f16f2f79e42428ba9b6480442fa1836e4eb89c4d9d61c"},
+    {file = "fonttools-4.54.1-cp313-cp313-win32.whl", hash = "sha256:9ef1b167e22709b46bf8168368b7b5d3efeaaa746c6d39661c1b4405b6352e58"},
+    {file = "fonttools-4.54.1-cp313-cp313-win_amd64.whl", hash = "sha256:262705b1663f18c04250bd1242b0515d3bbae177bee7752be67c979b7d47f43d"},
+    {file = "fonttools-4.54.1-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:ed2f80ca07025551636c555dec2b755dd005e2ea8fbeb99fc5cdff319b70b23b"},
+    {file = "fonttools-4.54.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:9dc080e5a1c3b2656caff2ac2633d009b3a9ff7b5e93d0452f40cd76d3da3b3c"},
+    {file = "fonttools-4.54.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1d152d1be65652fc65e695e5619e0aa0982295a95a9b29b52b85775243c06556"},
+    {file = "fonttools-4.54.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8583e563df41fdecef31b793b4dd3af8a9caa03397be648945ad32717a92885b"},
+    {file = "fonttools-4.54.1-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:0d1d353ef198c422515a3e974a1e8d5b304cd54a4c2eebcae708e37cd9eeffb1"},
+    {file = "fonttools-4.54.1-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:fda582236fee135d4daeca056c8c88ec5f6f6d88a004a79b84a02547c8f57386"},
+    {file = "fonttools-4.54.1-cp38-cp38-win32.whl", hash = "sha256:e7d82b9e56716ed32574ee106cabca80992e6bbdcf25a88d97d21f73a0aae664"},
+    {file = "fonttools-4.54.1-cp38-cp38-win_amd64.whl", hash = "sha256:ada215fd079e23e060157aab12eba0d66704316547f334eee9ff26f8c0d7b8ab"},
+    {file = "fonttools-4.54.1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:f5b8a096e649768c2f4233f947cf9737f8dbf8728b90e2771e2497c6e3d21d13"},
+    {file = "fonttools-4.54.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:4e10d2e0a12e18f4e2dd031e1bf7c3d7017be5c8dbe524d07706179f355c5dac"},
+    {file = "fonttools-4.54.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:31c32d7d4b0958600eac75eaf524b7b7cb68d3a8c196635252b7a2c30d80e986"},
+    {file = "fonttools-4.54.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c39287f5c8f4a0c5a55daf9eaf9ccd223ea59eed3f6d467133cc727d7b943a55"},
+    {file = "fonttools-4.54.1-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:a7a310c6e0471602fe3bf8efaf193d396ea561486aeaa7adc1f132e02d30c4b9"},
+    {file = "fonttools-4.54.1-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:d3b659d1029946f4ff9b6183984578041b520ce0f8fb7078bb37ec7445806b33"},
+    {file = "fonttools-4.54.1-cp39-cp39-win32.whl", hash = "sha256:e96bc94c8cda58f577277d4a71f51c8e2129b8b36fd05adece6320dd3d57de8a"},
+    {file = "fonttools-4.54.1-cp39-cp39-win_amd64.whl", hash = "sha256:e8a4b261c1ef91e7188a30571be6ad98d1c6d9fa2427244c545e2fa0a2494dd7"},
+    {file = "fonttools-4.54.1-py3-none-any.whl", hash = "sha256:37cddd62d83dc4f72f7c3f3c2bcf2697e89a30efb152079896544a93907733bd"},
+    {file = "fonttools-4.54.1.tar.gz", hash = "sha256:957f669d4922f92c171ba01bef7f29410668db09f6c02111e22b2bce446f3285"},
+]
+
+[package.extras]
+all = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "fs (>=2.2.0,<3)", "lxml (>=4.0)", "lz4 (>=1.7.4.2)", "matplotlib", "munkres", "pycairo", "scipy", "skia-pathops (>=0.5.0)", "sympy", "uharfbuzz (>=0.23.0)", "unicodedata2 (>=15.1.0)", "xattr", "zopfli (>=0.1.4)"]
+graphite = ["lz4 (>=1.7.4.2)"]
+interpolatable = ["munkres", "pycairo", "scipy"]
+lxml = ["lxml (>=4.0)"]
+pathops = ["skia-pathops (>=0.5.0)"]
+plot = ["matplotlib"]
+repacker = ["uharfbuzz (>=0.23.0)"]
+symfont = ["sympy"]
+type1 = ["xattr"]
+ufo = ["fs (>=2.2.0,<3)"]
+unicode = ["unicodedata2 (>=15.1.0)"]
+woff = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "zopfli (>=0.1.4)"]
+
+[[package]]
+name = "iniconfig"
+version = "2.0.0"
+description = "brain-dead simple config-ini parsing"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "iniconfig-2.0.0-py3-none-any.whl", hash = "sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374"},
+    {file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"},
+]
+
+[[package]]
+name = "kiwisolver"
+version = "1.4.7"
+description = "A fast implementation of the Cassowary constraint solver"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "kiwisolver-1.4.7-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:8a9c83f75223d5e48b0bc9cb1bf2776cf01563e00ade8775ffe13b0b6e1af3a6"},
+    {file = "kiwisolver-1.4.7-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:58370b1ffbd35407444d57057b57da5d6549d2d854fa30249771775c63b5fe17"},
+    {file = "kiwisolver-1.4.7-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:aa0abdf853e09aff551db11fce173e2177d00786c688203f52c87ad7fcd91ef9"},
+    {file = "kiwisolver-1.4.7-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:8d53103597a252fb3ab8b5845af04c7a26d5e7ea8122303dd7a021176a87e8b9"},
+    {file = "kiwisolver-1.4.7-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:88f17c5ffa8e9462fb79f62746428dd57b46eb931698e42e990ad63103f35e6c"},
+    {file = "kiwisolver-1.4.7-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:88a9ca9c710d598fd75ee5de59d5bda2684d9db36a9f50b6125eaea3969c2599"},
+    {file = "kiwisolver-1.4.7-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f4d742cb7af1c28303a51b7a27aaee540e71bb8e24f68c736f6f2ffc82f2bf05"},
+    {file = "kiwisolver-1.4.7-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e28c7fea2196bf4c2f8d46a0415c77a1c480cc0724722f23d7410ffe9842c407"},
+    {file = "kiwisolver-1.4.7-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:e968b84db54f9d42046cf154e02911e39c0435c9801681e3fc9ce8a3c4130278"},
+    {file = "kiwisolver-1.4.7-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:0c18ec74c0472de033e1bebb2911c3c310eef5649133dd0bedf2a169a1b269e5"},
+    {file = "kiwisolver-1.4.7-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:8f0ea6da6d393d8b2e187e6a5e3fb81f5862010a40c3945e2c6d12ae45cfb2ad"},
+    {file = "kiwisolver-1.4.7-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:f106407dda69ae456dd1227966bf445b157ccc80ba0dff3802bb63f30b74e895"},
+    {file = "kiwisolver-1.4.7-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:84ec80df401cfee1457063732d90022f93951944b5b58975d34ab56bb150dfb3"},
+    {file = "kiwisolver-1.4.7-cp310-cp310-win32.whl", hash = "sha256:71bb308552200fb2c195e35ef05de12f0c878c07fc91c270eb3d6e41698c3bcc"},
+    {file = "kiwisolver-1.4.7-cp310-cp310-win_amd64.whl", hash = "sha256:44756f9fd339de0fb6ee4f8c1696cfd19b2422e0d70b4cefc1cc7f1f64045a8c"},
+    {file = "kiwisolver-1.4.7-cp310-cp310-win_arm64.whl", hash = "sha256:78a42513018c41c2ffd262eb676442315cbfe3c44eed82385c2ed043bc63210a"},
+    {file = "kiwisolver-1.4.7-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:d2b0e12a42fb4e72d509fc994713d099cbb15ebf1103545e8a45f14da2dfca54"},
+    {file = "kiwisolver-1.4.7-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:2a8781ac3edc42ea4b90bc23e7d37b665d89423818e26eb6df90698aa2287c95"},
+    {file = "kiwisolver-1.4.7-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:46707a10836894b559e04b0fd143e343945c97fd170d69a2d26d640b4e297935"},
+    {file = "kiwisolver-1.4.7-cp311-cp311-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ef97b8df011141c9b0f6caf23b29379f87dd13183c978a30a3c546d2c47314cb"},
+    {file = "kiwisolver-1.4.7-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3ab58c12a2cd0fc769089e6d38466c46d7f76aced0a1f54c77652446733d2d02"},
+    {file = "kiwisolver-1.4.7-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:803b8e1459341c1bb56d1c5c010406d5edec8a0713a0945851290a7930679b51"},
+    {file = "kiwisolver-1.4.7-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f9a9e8a507420fe35992ee9ecb302dab68550dedc0da9e2880dd88071c5fb052"},
+    {file = "kiwisolver-1.4.7-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:18077b53dc3bb490e330669a99920c5e6a496889ae8c63b58fbc57c3d7f33a18"},
+    {file = "kiwisolver-1.4.7-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:6af936f79086a89b3680a280c47ea90b4df7047b5bdf3aa5c524bbedddb9e545"},
+    {file = "kiwisolver-1.4.7-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:3abc5b19d24af4b77d1598a585b8a719beb8569a71568b66f4ebe1fb0449460b"},
+    {file = "kiwisolver-1.4.7-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:933d4de052939d90afbe6e9d5273ae05fb836cc86c15b686edd4b3560cc0ee36"},
+    {file = "kiwisolver-1.4.7-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:65e720d2ab2b53f1f72fb5da5fb477455905ce2c88aaa671ff0a447c2c80e8e3"},
+    {file = "kiwisolver-1.4.7-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:3bf1ed55088f214ba6427484c59553123fdd9b218a42bbc8c6496d6754b1e523"},
+    {file = "kiwisolver-1.4.7-cp311-cp311-win32.whl", hash = "sha256:4c00336b9dd5ad96d0a558fd18a8b6f711b7449acce4c157e7343ba92dd0cf3d"},
+    {file = "kiwisolver-1.4.7-cp311-cp311-win_amd64.whl", hash = "sha256:929e294c1ac1e9f615c62a4e4313ca1823ba37326c164ec720a803287c4c499b"},
+    {file = "kiwisolver-1.4.7-cp311-cp311-win_arm64.whl", hash = "sha256:e33e8fbd440c917106b237ef1a2f1449dfbb9b6f6e1ce17c94cd6a1e0d438376"},
+    {file = "kiwisolver-1.4.7-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:5360cc32706dab3931f738d3079652d20982511f7c0ac5711483e6eab08efff2"},
+    {file = "kiwisolver-1.4.7-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:942216596dc64ddb25adb215c3c783215b23626f8d84e8eff8d6d45c3f29f75a"},
+    {file = "kiwisolver-1.4.7-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:48b571ecd8bae15702e4f22d3ff6a0f13e54d3d00cd25216d5e7f658242065ee"},
+    {file = "kiwisolver-1.4.7-cp312-cp312-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ad42ba922c67c5f219097b28fae965e10045ddf145d2928bfac2eb2e17673640"},
+    {file = "kiwisolver-1.4.7-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:612a10bdae23404a72941a0fc8fa2660c6ea1217c4ce0dbcab8a8f6543ea9e7f"},
+    {file = "kiwisolver-1.4.7-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9e838bba3a3bac0fe06d849d29772eb1afb9745a59710762e4ba3f4cb8424483"},
+    {file = "kiwisolver-1.4.7-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:22f499f6157236c19f4bbbd472fa55b063db77a16cd74d49afe28992dff8c258"},
+    {file = "kiwisolver-1.4.7-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:693902d433cf585133699972b6d7c42a8b9f8f826ebcaf0132ff55200afc599e"},
+    {file = "kiwisolver-1.4.7-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:4e77f2126c3e0b0d055f44513ed349038ac180371ed9b52fe96a32aa071a5107"},
+    {file = "kiwisolver-1.4.7-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:657a05857bda581c3656bfc3b20e353c232e9193eb167766ad2dc58b56504948"},
+    {file = "kiwisolver-1.4.7-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:4bfa75a048c056a411f9705856abfc872558e33c055d80af6a380e3658766038"},
+    {file = "kiwisolver-1.4.7-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:34ea1de54beef1c104422d210c47c7d2a4999bdecf42c7b5718fbe59a4cac383"},
+    {file = "kiwisolver-1.4.7-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:90da3b5f694b85231cf93586dad5e90e2d71b9428f9aad96952c99055582f520"},
+    {file = "kiwisolver-1.4.7-cp312-cp312-win32.whl", hash = "sha256:18e0cca3e008e17fe9b164b55735a325140a5a35faad8de92dd80265cd5eb80b"},
+    {file = "kiwisolver-1.4.7-cp312-cp312-win_amd64.whl", hash = "sha256:58cb20602b18f86f83a5c87d3ee1c766a79c0d452f8def86d925e6c60fbf7bfb"},
+    {file = "kiwisolver-1.4.7-cp312-cp312-win_arm64.whl", hash = "sha256:f5a8b53bdc0b3961f8b6125e198617c40aeed638b387913bf1ce78afb1b0be2a"},
+    {file = "kiwisolver-1.4.7-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:2e6039dcbe79a8e0f044f1c39db1986a1b8071051efba3ee4d74f5b365f5226e"},
+    {file = "kiwisolver-1.4.7-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:a1ecf0ac1c518487d9d23b1cd7139a6a65bc460cd101ab01f1be82ecf09794b6"},
+    {file = "kiwisolver-1.4.7-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:7ab9ccab2b5bd5702ab0803676a580fffa2aa178c2badc5557a84cc943fcf750"},
+    {file = "kiwisolver-1.4.7-cp313-cp313-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f816dd2277f8d63d79f9c8473a79fe54047bc0467754962840782c575522224d"},
+    {file = "kiwisolver-1.4.7-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cf8bcc23ceb5a1b624572a1623b9f79d2c3b337c8c455405ef231933a10da379"},
+    {file = "kiwisolver-1.4.7-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:dea0bf229319828467d7fca8c7c189780aa9ff679c94539eed7532ebe33ed37c"},
+    {file = "kiwisolver-1.4.7-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:7c06a4c7cf15ec739ce0e5971b26c93638730090add60e183530d70848ebdd34"},
+    {file = "kiwisolver-1.4.7-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:913983ad2deb14e66d83c28b632fd35ba2b825031f2fa4ca29675e665dfecbe1"},
+    {file = "kiwisolver-1.4.7-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:5337ec7809bcd0f424c6b705ecf97941c46279cf5ed92311782c7c9c2026f07f"},
+    {file = "kiwisolver-1.4.7-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:4c26ed10c4f6fa6ddb329a5120ba3b6db349ca192ae211e882970bfc9d91420b"},
+    {file = "kiwisolver-1.4.7-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:c619b101e6de2222c1fcb0531e1b17bbffbe54294bfba43ea0d411d428618c27"},
+    {file = "kiwisolver-1.4.7-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:073a36c8273647592ea332e816e75ef8da5c303236ec0167196793eb1e34657a"},
+    {file = "kiwisolver-1.4.7-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:3ce6b2b0231bda412463e152fc18335ba32faf4e8c23a754ad50ffa70e4091ee"},
+    {file = "kiwisolver-1.4.7-cp313-cp313-win32.whl", hash = "sha256:f4c9aee212bc89d4e13f58be11a56cc8036cabad119259d12ace14b34476fd07"},
+    {file = "kiwisolver-1.4.7-cp313-cp313-win_amd64.whl", hash = "sha256:8a3ec5aa8e38fc4c8af308917ce12c536f1c88452ce554027e55b22cbbfbff76"},
+    {file = "kiwisolver-1.4.7-cp313-cp313-win_arm64.whl", hash = "sha256:76c8094ac20ec259471ac53e774623eb62e6e1f56cd8690c67ce6ce4fcb05650"},
+    {file = "kiwisolver-1.4.7-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:5d5abf8f8ec1f4e22882273c423e16cae834c36856cac348cfbfa68e01c40f3a"},
+    {file = "kiwisolver-1.4.7-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:aeb3531b196ef6f11776c21674dba836aeea9d5bd1cf630f869e3d90b16cfade"},
+    {file = "kiwisolver-1.4.7-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:b7d755065e4e866a8086c9bdada157133ff466476a2ad7861828e17b6026e22c"},
+    {file = "kiwisolver-1.4.7-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:08471d4d86cbaec61f86b217dd938a83d85e03785f51121e791a6e6689a3be95"},
+    {file = "kiwisolver-1.4.7-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:7bbfcb7165ce3d54a3dfbe731e470f65739c4c1f85bb1018ee912bae139e263b"},
+    {file = "kiwisolver-1.4.7-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5d34eb8494bea691a1a450141ebb5385e4b69d38bb8403b5146ad279f4b30fa3"},
+    {file = "kiwisolver-1.4.7-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:9242795d174daa40105c1d86aba618e8eab7bf96ba8c3ee614da8302a9f95503"},
+    {file = "kiwisolver-1.4.7-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:a0f64a48bb81af7450e641e3fe0b0394d7381e342805479178b3d335d60ca7cf"},
+    {file = "kiwisolver-1.4.7-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:8e045731a5416357638d1700927529e2b8ab304811671f665b225f8bf8d8f933"},
+    {file = "kiwisolver-1.4.7-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:4322872d5772cae7369f8351da1edf255a604ea7087fe295411397d0cfd9655e"},
+    {file = "kiwisolver-1.4.7-cp38-cp38-musllinux_1_2_ppc64le.whl", hash = "sha256:e1631290ee9271dffe3062d2634c3ecac02c83890ada077d225e081aca8aab89"},
+    {file = "kiwisolver-1.4.7-cp38-cp38-musllinux_1_2_s390x.whl", hash = "sha256:edcfc407e4eb17e037bca59be0e85a2031a2ac87e4fed26d3e9df88b4165f92d"},
+    {file = "kiwisolver-1.4.7-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:4d05d81ecb47d11e7f8932bd8b61b720bf0b41199358f3f5e36d38e28f0532c5"},
+    {file = "kiwisolver-1.4.7-cp38-cp38-win32.whl", hash = "sha256:b38ac83d5f04b15e515fd86f312479d950d05ce2368d5413d46c088dda7de90a"},
+    {file = "kiwisolver-1.4.7-cp38-cp38-win_amd64.whl", hash = "sha256:d83db7cde68459fc803052a55ace60bea2bae361fc3b7a6d5da07e11954e4b09"},
+    {file = "kiwisolver-1.4.7-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:3f9362ecfca44c863569d3d3c033dbe8ba452ff8eed6f6b5806382741a1334bd"},
+    {file = "kiwisolver-1.4.7-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:e8df2eb9b2bac43ef8b082e06f750350fbbaf2887534a5be97f6cf07b19d9583"},
+    {file = "kiwisolver-1.4.7-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:f32d6edbc638cde7652bd690c3e728b25332acbadd7cad670cc4a02558d9c417"},
+    {file = "kiwisolver-1.4.7-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:e2e6c39bd7b9372b0be21456caab138e8e69cc0fc1190a9dfa92bd45a1e6e904"},
+    {file = "kiwisolver-1.4.7-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:dda56c24d869b1193fcc763f1284b9126550eaf84b88bbc7256e15028f19188a"},
+    {file = "kiwisolver-1.4.7-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:79849239c39b5e1fd906556c474d9b0439ea6792b637511f3fe3a41158d89ca8"},
+    {file = "kiwisolver-1.4.7-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5e3bc157fed2a4c02ec468de4ecd12a6e22818d4f09cde2c31ee3226ffbefab2"},
+    {file = "kiwisolver-1.4.7-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3da53da805b71e41053dc670f9a820d1157aae77b6b944e08024d17bcd51ef88"},
+    {file = "kiwisolver-1.4.7-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:8705f17dfeb43139a692298cb6637ee2e59c0194538153e83e9ee0c75c2eddde"},
+    {file = "kiwisolver-1.4.7-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:82a5c2f4b87c26bb1a0ef3d16b5c4753434633b83d365cc0ddf2770c93829e3c"},
+    {file = "kiwisolver-1.4.7-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:ce8be0466f4c0d585cdb6c1e2ed07232221df101a4c6f28821d2aa754ca2d9e2"},
+    {file = "kiwisolver-1.4.7-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:409afdfe1e2e90e6ee7fc896f3df9a7fec8e793e58bfa0d052c8a82f99c37abb"},
+    {file = "kiwisolver-1.4.7-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:5b9c3f4ee0b9a439d2415012bd1b1cc2df59e4d6a9939f4d669241d30b414327"},
+    {file = "kiwisolver-1.4.7-cp39-cp39-win32.whl", hash = "sha256:a79ae34384df2b615eefca647a2873842ac3b596418032bef9a7283675962644"},
+    {file = "kiwisolver-1.4.7-cp39-cp39-win_amd64.whl", hash = "sha256:cf0438b42121a66a3a667de17e779330fc0f20b0d97d59d2f2121e182b0505e4"},
+    {file = "kiwisolver-1.4.7-cp39-cp39-win_arm64.whl", hash = "sha256:764202cc7e70f767dab49e8df52c7455e8de0df5d858fa801a11aa0d882ccf3f"},
+    {file = "kiwisolver-1.4.7-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:94252291e3fe68001b1dd747b4c0b3be12582839b95ad4d1b641924d68fd4643"},
+    {file = "kiwisolver-1.4.7-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:5b7dfa3b546da08a9f622bb6becdb14b3e24aaa30adba66749d38f3cc7ea9706"},
+    {file = "kiwisolver-1.4.7-pp310-pypy310_pp73-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:bd3de6481f4ed8b734da5df134cd5a6a64fe32124fe83dde1e5b5f29fe30b1e6"},
+    {file = "kiwisolver-1.4.7-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a91b5f9f1205845d488c928e8570dcb62b893372f63b8b6e98b863ebd2368ff2"},
+    {file = "kiwisolver-1.4.7-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:40fa14dbd66b8b8f470d5fc79c089a66185619d31645f9b0773b88b19f7223c4"},
+    {file = "kiwisolver-1.4.7-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:eb542fe7933aa09d8d8f9d9097ef37532a7df6497819d16efe4359890a2f417a"},
+    {file = "kiwisolver-1.4.7-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:bfa1acfa0c54932d5607e19a2c24646fb4c1ae2694437789129cf099789a3b00"},
+    {file = "kiwisolver-1.4.7-pp38-pypy38_pp73-macosx_11_0_arm64.whl", hash = "sha256:eee3ea935c3d227d49b4eb85660ff631556841f6e567f0f7bda972df6c2c9935"},
+    {file = "kiwisolver-1.4.7-pp38-pypy38_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:f3160309af4396e0ed04db259c3ccbfdc3621b5559b5453075e5de555e1f3a1b"},
+    {file = "kiwisolver-1.4.7-pp38-pypy38_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:a17f6a29cf8935e587cc8a4dbfc8368c55edc645283db0ce9801016f83526c2d"},
+    {file = "kiwisolver-1.4.7-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:10849fb2c1ecbfae45a693c070e0320a91b35dd4bcf58172c023b994283a124d"},
+    {file = "kiwisolver-1.4.7-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:ac542bf38a8a4be2dc6b15248d36315ccc65f0743f7b1a76688ffb6b5129a5c2"},
+    {file = "kiwisolver-1.4.7-pp39-pypy39_pp73-macosx_10_15_x86_64.whl", hash = "sha256:8b01aac285f91ca889c800042c35ad3b239e704b150cfd3382adfc9dcc780e39"},
+    {file = "kiwisolver-1.4.7-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:48be928f59a1f5c8207154f935334d374e79f2b5d212826307d072595ad76a2e"},
+    {file = "kiwisolver-1.4.7-pp39-pypy39_pp73-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f37cfe618a117e50d8c240555331160d73d0411422b59b5ee217843d7b693608"},
+    {file = "kiwisolver-1.4.7-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:599b5c873c63a1f6ed7eead644a8a380cfbdf5db91dcb6f85707aaab213b1674"},
+    {file = "kiwisolver-1.4.7-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:801fa7802e5cfabe3ab0c81a34c323a319b097dfb5004be950482d882f3d7225"},
+    {file = "kiwisolver-1.4.7-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:0c6c43471bc764fad4bc99c5c2d6d16a676b1abf844ca7c8702bdae92df01ee0"},
+    {file = "kiwisolver-1.4.7.tar.gz", hash = "sha256:9893ff81bd7107f7b685d3017cc6583daadb4fc26e4a888350df530e41980a60"},
+]
+
+[[package]]
+name = "matplotlib"
+version = "3.9.2"
+description = "Python plotting package"
+optional = false
+python-versions = ">=3.9"
+files = [
+    {file = "matplotlib-3.9.2-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:9d78bbc0cbc891ad55b4f39a48c22182e9bdaea7fc0e5dbd364f49f729ca1bbb"},
+    {file = "matplotlib-3.9.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c375cc72229614632c87355366bdf2570c2dac01ac66b8ad048d2dabadf2d0d4"},
+    {file = "matplotlib-3.9.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1d94ff717eb2bd0b58fe66380bd8b14ac35f48a98e7c6765117fe67fb7684e64"},
+    {file = "matplotlib-3.9.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ab68d50c06938ef28681073327795c5db99bb4666214d2d5f880ed11aeaded66"},
+    {file = "matplotlib-3.9.2-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:65aacf95b62272d568044531e41de26285d54aec8cb859031f511f84bd8b495a"},
+    {file = "matplotlib-3.9.2-cp310-cp310-win_amd64.whl", hash = "sha256:3fd595f34aa8a55b7fc8bf9ebea8aa665a84c82d275190a61118d33fbc82ccae"},
+    {file = "matplotlib-3.9.2-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:d8dd059447824eec055e829258ab092b56bb0579fc3164fa09c64f3acd478772"},
+    {file = "matplotlib-3.9.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:c797dac8bb9c7a3fd3382b16fe8f215b4cf0f22adccea36f1545a6d7be310b41"},
+    {file = "matplotlib-3.9.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d719465db13267bcef19ea8954a971db03b9f48b4647e3860e4bc8e6ed86610f"},
+    {file = "matplotlib-3.9.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8912ef7c2362f7193b5819d17dae8629b34a95c58603d781329712ada83f9447"},
+    {file = "matplotlib-3.9.2-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:7741f26a58a240f43bee74965c4882b6c93df3e7eb3de160126d8c8f53a6ae6e"},
+    {file = "matplotlib-3.9.2-cp311-cp311-win_amd64.whl", hash = "sha256:ae82a14dab96fbfad7965403c643cafe6515e386de723e498cf3eeb1e0b70cc7"},
+    {file = "matplotlib-3.9.2-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:ac43031375a65c3196bee99f6001e7fa5bdfb00ddf43379d3c0609bdca042df9"},
+    {file = "matplotlib-3.9.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:be0fc24a5e4531ae4d8e858a1a548c1fe33b176bb13eff7f9d0d38ce5112a27d"},
+    {file = "matplotlib-3.9.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bf81de2926c2db243c9b2cbc3917619a0fc85796c6ba4e58f541df814bbf83c7"},
+    {file = "matplotlib-3.9.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f6ee45bc4245533111ced13f1f2cace1e7f89d1c793390392a80c139d6cf0e6c"},
+    {file = "matplotlib-3.9.2-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:306c8dfc73239f0e72ac50e5a9cf19cc4e8e331dd0c54f5e69ca8758550f1e1e"},
+    {file = "matplotlib-3.9.2-cp312-cp312-win_amd64.whl", hash = "sha256:5413401594cfaff0052f9d8b1aafc6d305b4bd7c4331dccd18f561ff7e1d3bd3"},
+    {file = "matplotlib-3.9.2-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:18128cc08f0d3cfff10b76baa2f296fc28c4607368a8402de61bb3f2eb33c7d9"},
+    {file = "matplotlib-3.9.2-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:4876d7d40219e8ae8bb70f9263bcbe5714415acfdf781086601211335e24f8aa"},
+    {file = "matplotlib-3.9.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6d9f07a80deab4bb0b82858a9e9ad53d1382fd122be8cde11080f4e7dfedb38b"},
+    {file = "matplotlib-3.9.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f7c0410f181a531ec4e93bbc27692f2c71a15c2da16766f5ba9761e7ae518413"},
+    {file = "matplotlib-3.9.2-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:909645cce2dc28b735674ce0931a4ac94e12f5b13f6bb0b5a5e65e7cea2c192b"},
+    {file = "matplotlib-3.9.2-cp313-cp313-win_amd64.whl", hash = "sha256:f32c7410c7f246838a77d6d1eff0c0f87f3cb0e7c4247aebea71a6d5a68cab49"},
+    {file = "matplotlib-3.9.2-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:37e51dd1c2db16ede9cfd7b5cabdfc818b2c6397c83f8b10e0e797501c963a03"},
+    {file = "matplotlib-3.9.2-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:b82c5045cebcecd8496a4d694d43f9cc84aeeb49fe2133e036b207abe73f4d30"},
+    {file = "matplotlib-3.9.2-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f053c40f94bc51bc03832a41b4f153d83f2062d88c72b5e79997072594e97e51"},
+    {file = "matplotlib-3.9.2-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dbe196377a8248972f5cede786d4c5508ed5f5ca4a1e09b44bda889958b33f8c"},
+    {file = "matplotlib-3.9.2-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:5816b1e1fe8c192cbc013f8f3e3368ac56fbecf02fb41b8f8559303f24c5015e"},
+    {file = "matplotlib-3.9.2-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:cef2a73d06601437be399908cf13aee74e86932a5ccc6ccdf173408ebc5f6bb2"},
+    {file = "matplotlib-3.9.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:e0830e188029c14e891fadd99702fd90d317df294c3298aad682739c5533721a"},
+    {file = "matplotlib-3.9.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:03ba9c1299c920964e8d3857ba27173b4dbb51ca4bab47ffc2c2ba0eb5e2cbc5"},
+    {file = "matplotlib-3.9.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1cd93b91ab47a3616b4d3c42b52f8363b88ca021e340804c6ab2536344fad9ca"},
+    {file = "matplotlib-3.9.2-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:6d1ce5ed2aefcdce11904fc5bbea7d9c21fff3d5f543841edf3dea84451a09ea"},
+    {file = "matplotlib-3.9.2-cp39-cp39-win_amd64.whl", hash = "sha256:b2696efdc08648536efd4e1601b5fd491fd47f4db97a5fbfd175549a7365c1b2"},
+    {file = "matplotlib-3.9.2-pp39-pypy39_pp73-macosx_10_15_x86_64.whl", hash = "sha256:d52a3b618cb1cbb769ce2ee1dcdb333c3ab6e823944e9a2d36e37253815f9556"},
+    {file = "matplotlib-3.9.2-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:039082812cacd6c6bec8e17a9c1e6baca230d4116d522e81e1f63a74d01d2e21"},
+    {file = "matplotlib-3.9.2-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6758baae2ed64f2331d4fd19be38b7b4eae3ecec210049a26b6a4f3ae1c85dcc"},
+    {file = "matplotlib-3.9.2-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:050598c2b29e0b9832cde72bcf97627bf00262adbc4a54e2b856426bb2ef0697"},
+    {file = "matplotlib-3.9.2.tar.gz", hash = "sha256:96ab43906269ca64a6366934106fa01534454a69e471b7bf3d79083981aaab92"},
+]
+
+[package.dependencies]
+contourpy = ">=1.0.1"
+cycler = ">=0.10"
+fonttools = ">=4.22.0"
+kiwisolver = ">=1.3.1"
+numpy = ">=1.23"
+packaging = ">=20.0"
+pillow = ">=8"
+pyparsing = ">=2.3.1"
+python-dateutil = ">=2.7"
+
+[package.extras]
+dev = ["meson-python (>=0.13.1)", "numpy (>=1.25)", "pybind11 (>=2.6)", "setuptools (>=64)", "setuptools_scm (>=7)"]
+
+[[package]]
+name = "numpy"
+version = "1.26.4"
+description = "Fundamental package for array computing in Python"
+optional = false
+python-versions = ">=3.9"
+files = [
+    {file = "numpy-1.26.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:9ff0f4f29c51e2803569d7a51c2304de5554655a60c5d776e35b4a41413830d0"},
+    {file = "numpy-1.26.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2e4ee3380d6de9c9ec04745830fd9e2eccb3e6cf790d39d7b98ffd19b0dd754a"},
+    {file = "numpy-1.26.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d209d8969599b27ad20994c8e41936ee0964e6da07478d6c35016bc386b66ad4"},
+    {file = "numpy-1.26.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ffa75af20b44f8dba823498024771d5ac50620e6915abac414251bd971b4529f"},
+    {file = "numpy-1.26.4-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:62b8e4b1e28009ef2846b4c7852046736bab361f7aeadeb6a5b89ebec3c7055a"},
+    {file = "numpy-1.26.4-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:a4abb4f9001ad2858e7ac189089c42178fcce737e4169dc61321660f1a96c7d2"},
+    {file = "numpy-1.26.4-cp310-cp310-win32.whl", hash = "sha256:bfe25acf8b437eb2a8b2d49d443800a5f18508cd811fea3181723922a8a82b07"},
+    {file = "numpy-1.26.4-cp310-cp310-win_amd64.whl", hash = "sha256:b97fe8060236edf3662adfc2c633f56a08ae30560c56310562cb4f95500022d5"},
+    {file = "numpy-1.26.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:4c66707fabe114439db9068ee468c26bbdf909cac0fb58686a42a24de1760c71"},
+    {file = "numpy-1.26.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:edd8b5fe47dab091176d21bb6de568acdd906d1887a4584a15a9a96a1dca06ef"},
+    {file = "numpy-1.26.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7ab55401287bfec946ced39700c053796e7cc0e3acbef09993a9ad2adba6ca6e"},
+    {file = "numpy-1.26.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:666dbfb6ec68962c033a450943ded891bed2d54e6755e35e5835d63f4f6931d5"},
+    {file = "numpy-1.26.4-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:96ff0b2ad353d8f990b63294c8986f1ec3cb19d749234014f4e7eb0112ceba5a"},
+    {file = "numpy-1.26.4-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:60dedbb91afcbfdc9bc0b1f3f402804070deed7392c23eb7a7f07fa857868e8a"},
+    {file = "numpy-1.26.4-cp311-cp311-win32.whl", hash = "sha256:1af303d6b2210eb850fcf03064d364652b7120803a0b872f5211f5234b399f20"},
+    {file = "numpy-1.26.4-cp311-cp311-win_amd64.whl", hash = "sha256:cd25bcecc4974d09257ffcd1f098ee778f7834c3ad767fe5db785be9a4aa9cb2"},
+    {file = "numpy-1.26.4-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:b3ce300f3644fb06443ee2222c2201dd3a89ea6040541412b8fa189341847218"},
+    {file = "numpy-1.26.4-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:03a8c78d01d9781b28a6989f6fa1bb2c4f2d51201cf99d3dd875df6fbd96b23b"},
+    {file = "numpy-1.26.4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9fad7dcb1aac3c7f0584a5a8133e3a43eeb2fe127f47e3632d43d677c66c102b"},
+    {file = "numpy-1.26.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:675d61ffbfa78604709862923189bad94014bef562cc35cf61d3a07bba02a7ed"},
+    {file = "numpy-1.26.4-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:ab47dbe5cc8210f55aa58e4805fe224dac469cde56b9f731a4c098b91917159a"},
+    {file = "numpy-1.26.4-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:1dda2e7b4ec9dd512f84935c5f126c8bd8b9f2fc001e9f54af255e8c5f16b0e0"},
+    {file = "numpy-1.26.4-cp312-cp312-win32.whl", hash = "sha256:50193e430acfc1346175fcbdaa28ffec49947a06918b7b92130744e81e640110"},
+    {file = "numpy-1.26.4-cp312-cp312-win_amd64.whl", hash = "sha256:08beddf13648eb95f8d867350f6a018a4be2e5ad54c8d8caed89ebca558b2818"},
+    {file = "numpy-1.26.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:7349ab0fa0c429c82442a27a9673fc802ffdb7c7775fad780226cb234965e53c"},
+    {file = "numpy-1.26.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:52b8b60467cd7dd1e9ed082188b4e6bb35aa5cdd01777621a1658910745b90be"},
+    {file = "numpy-1.26.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d5241e0a80d808d70546c697135da2c613f30e28251ff8307eb72ba696945764"},
+    {file = "numpy-1.26.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f870204a840a60da0b12273ef34f7051e98c3b5961b61b0c2c1be6dfd64fbcd3"},
+    {file = "numpy-1.26.4-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:679b0076f67ecc0138fd2ede3a8fd196dddc2ad3254069bcb9faf9a79b1cebcd"},
+    {file = "numpy-1.26.4-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:47711010ad8555514b434df65f7d7b076bb8261df1ca9bb78f53d3b2db02e95c"},
+    {file = "numpy-1.26.4-cp39-cp39-win32.whl", hash = "sha256:a354325ee03388678242a4d7ebcd08b5c727033fcff3b2f536aea978e15ee9e6"},
+    {file = "numpy-1.26.4-cp39-cp39-win_amd64.whl", hash = "sha256:3373d5d70a5fe74a2c1bb6d2cfd9609ecf686d47a2d7b1d37a8f3b6bf6003aea"},
+    {file = "numpy-1.26.4-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:afedb719a9dcfc7eaf2287b839d8198e06dcd4cb5d276a3df279231138e83d30"},
+    {file = "numpy-1.26.4-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:95a7476c59002f2f6c590b9b7b998306fba6a5aa646b1e22ddfeaf8f78c3a29c"},
+    {file = "numpy-1.26.4-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:7e50d0a0cc3189f9cb0aeb3a6a6af18c16f59f004b866cd2be1c14b36134a4a0"},
+    {file = "numpy-1.26.4.tar.gz", hash = "sha256:2a02aba9ed12e4ac4eb3ea9421c420301a0c6460d9830d74a9df87efa4912010"},
+]
+
+[[package]]
+name = "packaging"
+version = "24.1"
+description = "Core utilities for Python packages"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "packaging-24.1-py3-none-any.whl", hash = "sha256:5b8f2217dbdbd2f7f384c41c628544e6d52f2d0f53c6d0c3ea61aa5d1d7ff124"},
+    {file = "packaging-24.1.tar.gz", hash = "sha256:026ed72c8ed3fcce5bf8950572258698927fd1dbda10a5e981cdf0ac37f4f002"},
+]
+
+[[package]]
+name = "pillow"
+version = "10.4.0"
+description = "Python Imaging Library (Fork)"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "pillow-10.4.0-cp310-cp310-macosx_10_10_x86_64.whl", hash = "sha256:4d9667937cfa347525b319ae34375c37b9ee6b525440f3ef48542fcf66f2731e"},
+    {file = "pillow-10.4.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:543f3dc61c18dafb755773efc89aae60d06b6596a63914107f75459cf984164d"},
+    {file = "pillow-10.4.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7928ecbf1ece13956b95d9cbcfc77137652b02763ba384d9ab508099a2eca856"},
+    {file = "pillow-10.4.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e4d49b85c4348ea0b31ea63bc75a9f3857869174e2bf17e7aba02945cd218e6f"},
+    {file = "pillow-10.4.0-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:6c762a5b0997f5659a5ef2266abc1d8851ad7749ad9a6a5506eb23d314e4f46b"},
+    {file = "pillow-10.4.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:a985e028fc183bf12a77a8bbf36318db4238a3ded7fa9df1b9a133f1cb79f8fc"},
+    {file = "pillow-10.4.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:812f7342b0eee081eaec84d91423d1b4650bb9828eb53d8511bcef8ce5aecf1e"},
+    {file = "pillow-10.4.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:ac1452d2fbe4978c2eec89fb5a23b8387aba707ac72810d9490118817d9c0b46"},
+    {file = "pillow-10.4.0-cp310-cp310-win32.whl", hash = "sha256:bcd5e41a859bf2e84fdc42f4edb7d9aba0a13d29a2abadccafad99de3feff984"},
+    {file = "pillow-10.4.0-cp310-cp310-win_amd64.whl", hash = "sha256:ecd85a8d3e79cd7158dec1c9e5808e821feea088e2f69a974db5edf84dc53141"},
+    {file = "pillow-10.4.0-cp310-cp310-win_arm64.whl", hash = "sha256:ff337c552345e95702c5fde3158acb0625111017d0e5f24bf3acdb9cc16b90d1"},
+    {file = "pillow-10.4.0-cp311-cp311-macosx_10_10_x86_64.whl", hash = "sha256:0a9ec697746f268507404647e531e92889890a087e03681a3606d9b920fbee3c"},
+    {file = "pillow-10.4.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:dfe91cb65544a1321e631e696759491ae04a2ea11d36715eca01ce07284738be"},
+    {file = "pillow-10.4.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5dc6761a6efc781e6a1544206f22c80c3af4c8cf461206d46a1e6006e4429ff3"},
+    {file = "pillow-10.4.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5e84b6cc6a4a3d76c153a6b19270b3526a5a8ed6b09501d3af891daa2a9de7d6"},
+    {file = "pillow-10.4.0-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:bbc527b519bd3aa9d7f429d152fea69f9ad37c95f0b02aebddff592688998abe"},
+    {file = "pillow-10.4.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:76a911dfe51a36041f2e756b00f96ed84677cdeb75d25c767f296c1c1eda1319"},
+    {file = "pillow-10.4.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:59291fb29317122398786c2d44427bbd1a6d7ff54017075b22be9d21aa59bd8d"},
+    {file = "pillow-10.4.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:416d3a5d0e8cfe4f27f574362435bc9bae57f679a7158e0096ad2beb427b8696"},
+    {file = "pillow-10.4.0-cp311-cp311-win32.whl", hash = "sha256:7086cc1d5eebb91ad24ded9f58bec6c688e9f0ed7eb3dbbf1e4800280a896496"},
+    {file = "pillow-10.4.0-cp311-cp311-win_amd64.whl", hash = "sha256:cbed61494057c0f83b83eb3a310f0bf774b09513307c434d4366ed64f4128a91"},
+    {file = "pillow-10.4.0-cp311-cp311-win_arm64.whl", hash = "sha256:f5f0c3e969c8f12dd2bb7e0b15d5c468b51e5017e01e2e867335c81903046a22"},
+    {file = "pillow-10.4.0-cp312-cp312-macosx_10_10_x86_64.whl", hash = "sha256:673655af3eadf4df6b5457033f086e90299fdd7a47983a13827acf7459c15d94"},
+    {file = "pillow-10.4.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:866b6942a92f56300012f5fbac71f2d610312ee65e22f1aa2609e491284e5597"},
+    {file = "pillow-10.4.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:29dbdc4207642ea6aad70fbde1a9338753d33fb23ed6956e706936706f52dd80"},
+    {file = "pillow-10.4.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bf2342ac639c4cf38799a44950bbc2dfcb685f052b9e262f446482afaf4bffca"},
+    {file = "pillow-10.4.0-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:f5b92f4d70791b4a67157321c4e8225d60b119c5cc9aee8ecf153aace4aad4ef"},
+    {file = "pillow-10.4.0-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:86dcb5a1eb778d8b25659d5e4341269e8590ad6b4e8b44d9f4b07f8d136c414a"},
+    {file = "pillow-10.4.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:780c072c2e11c9b2c7ca37f9a2ee8ba66f44367ac3e5c7832afcfe5104fd6d1b"},
+    {file = "pillow-10.4.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:37fb69d905be665f68f28a8bba3c6d3223c8efe1edf14cc4cfa06c241f8c81d9"},
+    {file = "pillow-10.4.0-cp312-cp312-win32.whl", hash = "sha256:7dfecdbad5c301d7b5bde160150b4db4c659cee2b69589705b6f8a0c509d9f42"},
+    {file = "pillow-10.4.0-cp312-cp312-win_amd64.whl", hash = "sha256:1d846aea995ad352d4bdcc847535bd56e0fd88d36829d2c90be880ef1ee4668a"},
+    {file = "pillow-10.4.0-cp312-cp312-win_arm64.whl", hash = "sha256:e553cad5179a66ba15bb18b353a19020e73a7921296a7979c4a2b7f6a5cd57f9"},
+    {file = "pillow-10.4.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:8bc1a764ed8c957a2e9cacf97c8b2b053b70307cf2996aafd70e91a082e70df3"},
+    {file = "pillow-10.4.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:6209bb41dc692ddfee4942517c19ee81b86c864b626dbfca272ec0f7cff5d9fb"},
+    {file = "pillow-10.4.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bee197b30783295d2eb680b311af15a20a8b24024a19c3a26431ff83eb8d1f70"},
+    {file = "pillow-10.4.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1ef61f5dd14c300786318482456481463b9d6b91ebe5ef12f405afbba77ed0be"},
+    {file = "pillow-10.4.0-cp313-cp313-manylinux_2_28_aarch64.whl", hash = "sha256:297e388da6e248c98bc4a02e018966af0c5f92dfacf5a5ca22fa01cb3179bca0"},
+    {file = "pillow-10.4.0-cp313-cp313-manylinux_2_28_x86_64.whl", hash = "sha256:e4db64794ccdf6cb83a59d73405f63adbe2a1887012e308828596100a0b2f6cc"},
+    {file = "pillow-10.4.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:bd2880a07482090a3bcb01f4265f1936a903d70bc740bfcb1fd4e8a2ffe5cf5a"},
+    {file = "pillow-10.4.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:4b35b21b819ac1dbd1233317adeecd63495f6babf21b7b2512d244ff6c6ce309"},
+    {file = "pillow-10.4.0-cp313-cp313-win32.whl", hash = "sha256:551d3fd6e9dc15e4c1eb6fc4ba2b39c0c7933fa113b220057a34f4bb3268a060"},
+    {file = "pillow-10.4.0-cp313-cp313-win_amd64.whl", hash = "sha256:030abdbe43ee02e0de642aee345efa443740aa4d828bfe8e2eb11922ea6a21ea"},
+    {file = "pillow-10.4.0-cp313-cp313-win_arm64.whl", hash = "sha256:5b001114dd152cfd6b23befeb28d7aee43553e2402c9f159807bf55f33af8a8d"},
+    {file = "pillow-10.4.0-cp38-cp38-macosx_10_10_x86_64.whl", hash = "sha256:8d4d5063501b6dd4024b8ac2f04962d661222d120381272deea52e3fc52d3736"},
+    {file = "pillow-10.4.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:7c1ee6f42250df403c5f103cbd2768a28fe1a0ea1f0f03fe151c8741e1469c8b"},
+    {file = "pillow-10.4.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b15e02e9bb4c21e39876698abf233c8c579127986f8207200bc8a8f6bb27acf2"},
+    {file = "pillow-10.4.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7a8d4bade9952ea9a77d0c3e49cbd8b2890a399422258a77f357b9cc9be8d680"},
+    {file = "pillow-10.4.0-cp38-cp38-manylinux_2_28_aarch64.whl", hash = "sha256:43efea75eb06b95d1631cb784aa40156177bf9dd5b4b03ff38979e048258bc6b"},
+    {file = "pillow-10.4.0-cp38-cp38-manylinux_2_28_x86_64.whl", hash = "sha256:950be4d8ba92aca4b2bb0741285a46bfae3ca699ef913ec8416c1b78eadd64cd"},
+    {file = "pillow-10.4.0-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:d7480af14364494365e89d6fddc510a13e5a2c3584cb19ef65415ca57252fb84"},
+    {file = "pillow-10.4.0-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:73664fe514b34c8f02452ffb73b7a92c6774e39a647087f83d67f010eb9a0cf0"},
+    {file = "pillow-10.4.0-cp38-cp38-win32.whl", hash = "sha256:e88d5e6ad0d026fba7bdab8c3f225a69f063f116462c49892b0149e21b6c0a0e"},
+    {file = "pillow-10.4.0-cp38-cp38-win_amd64.whl", hash = "sha256:5161eef006d335e46895297f642341111945e2c1c899eb406882a6c61a4357ab"},
+    {file = "pillow-10.4.0-cp39-cp39-macosx_10_10_x86_64.whl", hash = "sha256:0ae24a547e8b711ccaaf99c9ae3cd975470e1a30caa80a6aaee9a2f19c05701d"},
+    {file = "pillow-10.4.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:298478fe4f77a4408895605f3482b6cc6222c018b2ce565c2b6b9c354ac3229b"},
+    {file = "pillow-10.4.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:134ace6dc392116566980ee7436477d844520a26a4b1bd4053f6f47d096997fd"},
+    {file = "pillow-10.4.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:930044bb7679ab003b14023138b50181899da3f25de50e9dbee23b61b4de2126"},
+    {file = "pillow-10.4.0-cp39-cp39-manylinux_2_28_aarch64.whl", hash = "sha256:c76e5786951e72ed3686e122d14c5d7012f16c8303a674d18cdcd6d89557fc5b"},
+    {file = "pillow-10.4.0-cp39-cp39-manylinux_2_28_x86_64.whl", hash = "sha256:b2724fdb354a868ddf9a880cb84d102da914e99119211ef7ecbdc613b8c96b3c"},
+    {file = "pillow-10.4.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:dbc6ae66518ab3c5847659e9988c3b60dc94ffb48ef9168656e0019a93dbf8a1"},
+    {file = "pillow-10.4.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:06b2f7898047ae93fad74467ec3d28fe84f7831370e3c258afa533f81ef7f3df"},
+    {file = "pillow-10.4.0-cp39-cp39-win32.whl", hash = "sha256:7970285ab628a3779aecc35823296a7869f889b8329c16ad5a71e4901a3dc4ef"},
+    {file = "pillow-10.4.0-cp39-cp39-win_amd64.whl", hash = "sha256:961a7293b2457b405967af9c77dcaa43cc1a8cd50d23c532e62d48ab6cdd56f5"},
+    {file = "pillow-10.4.0-cp39-cp39-win_arm64.whl", hash = "sha256:32cda9e3d601a52baccb2856b8ea1fc213c90b340c542dcef77140dfa3278a9e"},
+    {file = "pillow-10.4.0-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:5b4815f2e65b30f5fbae9dfffa8636d992d49705723fe86a3661806e069352d4"},
+    {file = "pillow-10.4.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:8f0aef4ef59694b12cadee839e2ba6afeab89c0f39a3adc02ed51d109117b8da"},
+    {file = "pillow-10.4.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9f4727572e2918acaa9077c919cbbeb73bd2b3ebcfe033b72f858fc9fbef0026"},
+    {file = "pillow-10.4.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ff25afb18123cea58a591ea0244b92eb1e61a1fd497bf6d6384f09bc3262ec3e"},
+    {file = "pillow-10.4.0-pp310-pypy310_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:dc3e2db6ba09ffd7d02ae9141cfa0ae23393ee7687248d46a7507b75d610f4f5"},
+    {file = "pillow-10.4.0-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:02a2be69f9c9b8c1e97cf2713e789d4e398c751ecfd9967c18d0ce304efbf885"},
+    {file = "pillow-10.4.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:0755ffd4a0c6f267cccbae2e9903d95477ca2f77c4fcf3a3a09570001856c8a5"},
+    {file = "pillow-10.4.0-pp39-pypy39_pp73-macosx_10_15_x86_64.whl", hash = "sha256:a02364621fe369e06200d4a16558e056fe2805d3468350df3aef21e00d26214b"},
+    {file = "pillow-10.4.0-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:1b5dea9831a90e9d0721ec417a80d4cbd7022093ac38a568db2dd78363b00908"},
+    {file = "pillow-10.4.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9b885f89040bb8c4a1573566bbb2f44f5c505ef6e74cec7ab9068c900047f04b"},
+    {file = "pillow-10.4.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:87dd88ded2e6d74d31e1e0a99a726a6765cda32d00ba72dc37f0651f306daaa8"},
+    {file = "pillow-10.4.0-pp39-pypy39_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:2db98790afc70118bd0255c2eeb465e9767ecf1f3c25f9a1abb8ffc8cfd1fe0a"},
+    {file = "pillow-10.4.0-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:f7baece4ce06bade126fb84b8af1c33439a76d8a6fd818970215e0560ca28c27"},
+    {file = "pillow-10.4.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:cfdd747216947628af7b259d274771d84db2268ca062dd5faf373639d00113a3"},
+    {file = "pillow-10.4.0.tar.gz", hash = "sha256:166c1cd4d24309b30d61f79f4a9114b7b2313d7450912277855ff5dfd7cd4a06"},
+]
+
+[package.extras]
+docs = ["furo", "olefile", "sphinx (>=7.3)", "sphinx-copybutton", "sphinx-inline-tabs", "sphinxext-opengraph"]
+fpx = ["olefile"]
+mic = ["olefile"]
+tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
+typing = ["typing-extensions"]
+xmp = ["defusedxml"]
+
+[[package]]
+name = "pluggy"
+version = "1.5.0"
+description = "plugin and hook calling mechanisms for python"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "pluggy-1.5.0-py3-none-any.whl", hash = "sha256:44e1ad92c8ca002de6377e165f3e0f1be63266ab4d554740532335b9d75ea669"},
+    {file = "pluggy-1.5.0.tar.gz", hash = "sha256:2cffa88e94fdc978c4c574f15f9e59b7f4201d439195c3715ca9e2486f1d0cf1"},
+]
+
+[package.extras]
+dev = ["pre-commit", "tox"]
+testing = ["pytest", "pytest-benchmark"]
+
+[[package]]
+name = "pydantic"
+version = "2.9.2"
+description = "Data validation using Python type hints"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "pydantic-2.9.2-py3-none-any.whl", hash = "sha256:f048cec7b26778210e28a0459867920654d48e5e62db0958433636cde4254f12"},
+    {file = "pydantic-2.9.2.tar.gz", hash = "sha256:d155cef71265d1e9807ed1c32b4c8deec042a44a50a4188b25ac67ecd81a9c0f"},
+]
+
+[package.dependencies]
+annotated-types = ">=0.6.0"
+pydantic-core = "2.23.4"
+typing-extensions = [
+    {version = ">=4.12.2", markers = "python_version >= \"3.13\""},
+    {version = ">=4.6.1", markers = "python_version < \"3.13\""},
+]
+
+[package.extras]
+email = ["email-validator (>=2.0.0)"]
+timezone = ["tzdata"]
+
+[[package]]
+name = "pydantic-core"
+version = "2.23.4"
+description = "Core functionality for Pydantic validation and serialization"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "pydantic_core-2.23.4-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:b10bd51f823d891193d4717448fab065733958bdb6a6b351967bd349d48d5c9b"},
+    {file = "pydantic_core-2.23.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:4fc714bdbfb534f94034efaa6eadd74e5b93c8fa6315565a222f7b6f42ca1166"},
+    {file = "pydantic_core-2.23.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:63e46b3169866bd62849936de036f901a9356e36376079b05efa83caeaa02ceb"},
+    {file = "pydantic_core-2.23.4-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:ed1a53de42fbe34853ba90513cea21673481cd81ed1be739f7f2efb931b24916"},
+    {file = "pydantic_core-2.23.4-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:cfdd16ab5e59fc31b5e906d1a3f666571abc367598e3e02c83403acabc092e07"},
+    {file = "pydantic_core-2.23.4-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:255a8ef062cbf6674450e668482456abac99a5583bbafb73f9ad469540a3a232"},
+    {file = "pydantic_core-2.23.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4a7cd62e831afe623fbb7aabbb4fe583212115b3ef38a9f6b71869ba644624a2"},
+    {file = "pydantic_core-2.23.4-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:f09e2ff1f17c2b51f2bc76d1cc33da96298f0a036a137f5440ab3ec5360b624f"},
+    {file = "pydantic_core-2.23.4-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:e38e63e6f3d1cec5a27e0afe90a085af8b6806ee208b33030e65b6516353f1a3"},
+    {file = "pydantic_core-2.23.4-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:0dbd8dbed2085ed23b5c04afa29d8fd2771674223135dc9bc937f3c09284d071"},
+    {file = "pydantic_core-2.23.4-cp310-none-win32.whl", hash = "sha256:6531b7ca5f951d663c339002e91aaebda765ec7d61b7d1e3991051906ddde119"},
+    {file = "pydantic_core-2.23.4-cp310-none-win_amd64.whl", hash = "sha256:7c9129eb40958b3d4500fa2467e6a83356b3b61bfff1b414c7361d9220f9ae8f"},
+    {file = "pydantic_core-2.23.4-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:77733e3892bb0a7fa797826361ce8a9184d25c8dffaec60b7ffe928153680ba8"},
+    {file = "pydantic_core-2.23.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:1b84d168f6c48fabd1f2027a3d1bdfe62f92cade1fb273a5d68e621da0e44e6d"},
+    {file = "pydantic_core-2.23.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:df49e7a0861a8c36d089c1ed57d308623d60416dab2647a4a17fe050ba85de0e"},
+    {file = "pydantic_core-2.23.4-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:ff02b6d461a6de369f07ec15e465a88895f3223eb75073ffea56b84d9331f607"},
+    {file = "pydantic_core-2.23.4-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:996a38a83508c54c78a5f41456b0103c30508fed9abcad0a59b876d7398f25fd"},
+    {file = "pydantic_core-2.23.4-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d97683ddee4723ae8c95d1eddac7c192e8c552da0c73a925a89fa8649bf13eea"},
+    {file = "pydantic_core-2.23.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:216f9b2d7713eb98cb83c80b9c794de1f6b7e3145eef40400c62e86cee5f4e1e"},
+    {file = "pydantic_core-2.23.4-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:6f783e0ec4803c787bcea93e13e9932edab72068f68ecffdf86a99fd5918878b"},
+    {file = "pydantic_core-2.23.4-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:d0776dea117cf5272382634bd2a5c1b6eb16767c223c6a5317cd3e2a757c61a0"},
+    {file = "pydantic_core-2.23.4-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:d5f7a395a8cf1621939692dba2a6b6a830efa6b3cee787d82c7de1ad2930de64"},
+    {file = "pydantic_core-2.23.4-cp311-none-win32.whl", hash = "sha256:74b9127ffea03643e998e0c5ad9bd3811d3dac8c676e47db17b0ee7c3c3bf35f"},
+    {file = "pydantic_core-2.23.4-cp311-none-win_amd64.whl", hash = "sha256:98d134c954828488b153d88ba1f34e14259284f256180ce659e8d83e9c05eaa3"},
+    {file = "pydantic_core-2.23.4-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:f3e0da4ebaef65158d4dfd7d3678aad692f7666877df0002b8a522cdf088f231"},
+    {file = "pydantic_core-2.23.4-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:f69a8e0b033b747bb3e36a44e7732f0c99f7edd5cea723d45bc0d6e95377ffee"},
+    {file = "pydantic_core-2.23.4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:723314c1d51722ab28bfcd5240d858512ffd3116449c557a1336cbe3919beb87"},
+    {file = "pydantic_core-2.23.4-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:bb2802e667b7051a1bebbfe93684841cc9351004e2badbd6411bf357ab8d5ac8"},
+    {file = "pydantic_core-2.23.4-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d18ca8148bebe1b0a382a27a8ee60350091a6ddaf475fa05ef50dc35b5df6327"},
+    {file = "pydantic_core-2.23.4-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:33e3d65a85a2a4a0dc3b092b938a4062b1a05f3a9abde65ea93b233bca0e03f2"},
+    {file = "pydantic_core-2.23.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:128585782e5bfa515c590ccee4b727fb76925dd04a98864182b22e89a4e6ed36"},
+    {file = "pydantic_core-2.23.4-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:68665f4c17edcceecc112dfed5dbe6f92261fb9d6054b47d01bf6371a6196126"},
+    {file = "pydantic_core-2.23.4-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:20152074317d9bed6b7a95ade3b7d6054845d70584216160860425f4fbd5ee9e"},
+    {file = "pydantic_core-2.23.4-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:9261d3ce84fa1d38ed649c3638feefeae23d32ba9182963e465d58d62203bd24"},
+    {file = "pydantic_core-2.23.4-cp312-none-win32.whl", hash = "sha256:4ba762ed58e8d68657fc1281e9bb72e1c3e79cc5d464be146e260c541ec12d84"},
+    {file = "pydantic_core-2.23.4-cp312-none-win_amd64.whl", hash = "sha256:97df63000f4fea395b2824da80e169731088656d1818a11b95f3b173747b6cd9"},
+    {file = "pydantic_core-2.23.4-cp313-cp313-macosx_10_12_x86_64.whl", hash = "sha256:7530e201d10d7d14abce4fb54cfe5b94a0aefc87da539d0346a484ead376c3cc"},
+    {file = "pydantic_core-2.23.4-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:df933278128ea1cd77772673c73954e53a1c95a4fdf41eef97c2b779271bd0bd"},
+    {file = "pydantic_core-2.23.4-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0cb3da3fd1b6a5d0279a01877713dbda118a2a4fc6f0d821a57da2e464793f05"},
+    {file = "pydantic_core-2.23.4-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:42c6dcb030aefb668a2b7009c85b27f90e51e6a3b4d5c9bc4c57631292015b0d"},
+    {file = "pydantic_core-2.23.4-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:696dd8d674d6ce621ab9d45b205df149399e4bb9aa34102c970b721554828510"},
+    {file = "pydantic_core-2.23.4-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2971bb5ffe72cc0f555c13e19b23c85b654dd2a8f7ab493c262071377bfce9f6"},
+    {file = "pydantic_core-2.23.4-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8394d940e5d400d04cad4f75c0598665cbb81aecefaca82ca85bd28264af7f9b"},
+    {file = "pydantic_core-2.23.4-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:0dff76e0602ca7d4cdaacc1ac4c005e0ce0dcfe095d5b5259163a80d3a10d327"},
+    {file = "pydantic_core-2.23.4-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:7d32706badfe136888bdea71c0def994644e09fff0bfe47441deaed8e96fdbc6"},
+    {file = "pydantic_core-2.23.4-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:ed541d70698978a20eb63d8c5d72f2cc6d7079d9d90f6b50bad07826f1320f5f"},
+    {file = "pydantic_core-2.23.4-cp313-none-win32.whl", hash = "sha256:3d5639516376dce1940ea36edf408c554475369f5da2abd45d44621cb616f769"},
+    {file = "pydantic_core-2.23.4-cp313-none-win_amd64.whl", hash = "sha256:5a1504ad17ba4210df3a045132a7baeeba5a200e930f57512ee02909fc5c4cb5"},
+    {file = "pydantic_core-2.23.4-cp38-cp38-macosx_10_12_x86_64.whl", hash = "sha256:d4488a93b071c04dc20f5cecc3631fc78b9789dd72483ba15d423b5b3689b555"},
+    {file = "pydantic_core-2.23.4-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:81965a16b675b35e1d09dd14df53f190f9129c0202356ed44ab2728b1c905658"},
+    {file = "pydantic_core-2.23.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4ffa2ebd4c8530079140dd2d7f794a9d9a73cbb8e9d59ffe24c63436efa8f271"},
+    {file = "pydantic_core-2.23.4-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:61817945f2fe7d166e75fbfb28004034b48e44878177fc54d81688e7b85a3665"},
+    {file = "pydantic_core-2.23.4-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:29d2c342c4bc01b88402d60189f3df065fb0dda3654744d5a165a5288a657368"},
+    {file = "pydantic_core-2.23.4-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5e11661ce0fd30a6790e8bcdf263b9ec5988e95e63cf901972107efc49218b13"},
+    {file = "pydantic_core-2.23.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9d18368b137c6295db49ce7218b1a9ba15c5bc254c96d7c9f9e924a9bc7825ad"},
+    {file = "pydantic_core-2.23.4-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:ec4e55f79b1c4ffb2eecd8a0cfba9955a2588497d96851f4c8f99aa4a1d39b12"},
+    {file = "pydantic_core-2.23.4-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:374a5e5049eda9e0a44c696c7ade3ff355f06b1fe0bb945ea3cac2bc336478a2"},
+    {file = "pydantic_core-2.23.4-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:5c364564d17da23db1106787675fc7af45f2f7b58b4173bfdd105564e132e6fb"},
+    {file = "pydantic_core-2.23.4-cp38-none-win32.whl", hash = "sha256:d7a80d21d613eec45e3d41eb22f8f94ddc758a6c4720842dc74c0581f54993d6"},
+    {file = "pydantic_core-2.23.4-cp38-none-win_amd64.whl", hash = "sha256:5f5ff8d839f4566a474a969508fe1c5e59c31c80d9e140566f9a37bba7b8d556"},
+    {file = "pydantic_core-2.23.4-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:a4fa4fc04dff799089689f4fd502ce7d59de529fc2f40a2c8836886c03e0175a"},
+    {file = "pydantic_core-2.23.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:0a7df63886be5e270da67e0966cf4afbae86069501d35c8c1b3b6c168f42cb36"},
+    {file = "pydantic_core-2.23.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dcedcd19a557e182628afa1d553c3895a9f825b936415d0dbd3cd0bbcfd29b4b"},
+    {file = "pydantic_core-2.23.4-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:5f54b118ce5de9ac21c363d9b3caa6c800341e8c47a508787e5868c6b79c9323"},
+    {file = "pydantic_core-2.23.4-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:86d2f57d3e1379a9525c5ab067b27dbb8a0642fb5d454e17a9ac434f9ce523e3"},
+    {file = "pydantic_core-2.23.4-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:de6d1d1b9e5101508cb37ab0d972357cac5235f5c6533d1071964c47139257df"},
+    {file = "pydantic_core-2.23.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1278e0d324f6908e872730c9102b0112477a7f7cf88b308e4fc36ce1bdb6d58c"},
+    {file = "pydantic_core-2.23.4-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:9a6b5099eeec78827553827f4c6b8615978bb4b6a88e5d9b93eddf8bb6790f55"},
+    {file = "pydantic_core-2.23.4-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:e55541f756f9b3ee346b840103f32779c695a19826a4c442b7954550a0972040"},
+    {file = "pydantic_core-2.23.4-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:a5c7ba8ffb6d6f8f2ab08743be203654bb1aaa8c9dcb09f82ddd34eadb695605"},
+    {file = "pydantic_core-2.23.4-cp39-none-win32.whl", hash = "sha256:37b0fe330e4a58d3c58b24d91d1eb102aeec675a3db4c292ec3928ecd892a9a6"},
+    {file = "pydantic_core-2.23.4-cp39-none-win_amd64.whl", hash = "sha256:1498bec4c05c9c787bde9125cfdcc63a41004ff167f495063191b863399b1a29"},
+    {file = "pydantic_core-2.23.4-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:f455ee30a9d61d3e1a15abd5068827773d6e4dc513e795f380cdd59932c782d5"},
+    {file = "pydantic_core-2.23.4-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:1e90d2e3bd2c3863d48525d297cd143fe541be8bbf6f579504b9712cb6b643ec"},
+    {file = "pydantic_core-2.23.4-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2e203fdf807ac7e12ab59ca2bfcabb38c7cf0b33c41efeb00f8e5da1d86af480"},
+    {file = "pydantic_core-2.23.4-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e08277a400de01bc72436a0ccd02bdf596631411f592ad985dcee21445bd0068"},
+    {file = "pydantic_core-2.23.4-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:f220b0eea5965dec25480b6333c788fb72ce5f9129e8759ef876a1d805d00801"},
+    {file = "pydantic_core-2.23.4-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:d06b0c8da4f16d1d1e352134427cb194a0a6e19ad5db9161bf32b2113409e728"},
+    {file = "pydantic_core-2.23.4-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:ba1a0996f6c2773bd83e63f18914c1de3c9dd26d55f4ac302a7efe93fb8e7433"},
+    {file = "pydantic_core-2.23.4-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:9a5bce9d23aac8f0cf0836ecfc033896aa8443b501c58d0602dbfd5bd5b37753"},
+    {file = "pydantic_core-2.23.4-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:78ddaaa81421a29574a682b3179d4cf9e6d405a09b99d93ddcf7e5239c742e21"},
+    {file = "pydantic_core-2.23.4-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:883a91b5dd7d26492ff2f04f40fbb652de40fcc0afe07e8129e8ae779c2110eb"},
+    {file = "pydantic_core-2.23.4-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:88ad334a15b32a791ea935af224b9de1bf99bcd62fabf745d5f3442199d86d59"},
+    {file = "pydantic_core-2.23.4-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:233710f069d251feb12a56da21e14cca67994eab08362207785cf8c598e74577"},
+    {file = "pydantic_core-2.23.4-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:19442362866a753485ba5e4be408964644dd6a09123d9416c54cd49171f50744"},
+    {file = "pydantic_core-2.23.4-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:624e278a7d29b6445e4e813af92af37820fafb6dcc55c012c834f9e26f9aaaef"},
+    {file = "pydantic_core-2.23.4-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:f5ef8f42bec47f21d07668a043f077d507e5bf4e668d5c6dfe6aaba89de1a5b8"},
+    {file = "pydantic_core-2.23.4-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:aea443fffa9fbe3af1a9ba721a87f926fe548d32cab71d188a6ede77d0ff244e"},
+    {file = "pydantic_core-2.23.4.tar.gz", hash = "sha256:2584f7cf844ac4d970fba483a717dbe10c1c1c96a969bf65d61ffe94df1b2863"},
+]
+
+[package.dependencies]
+typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
+
+[[package]]
+name = "pyparsing"
+version = "3.2.0"
+description = "pyparsing module - Classes and methods to define and execute parsing grammars"
+optional = false
+python-versions = ">=3.9"
+files = [
+    {file = "pyparsing-3.2.0-py3-none-any.whl", hash = "sha256:93d9577b88da0bbea8cc8334ee8b918ed014968fd2ec383e868fb8afb1ccef84"},
+    {file = "pyparsing-3.2.0.tar.gz", hash = "sha256:cbf74e27246d595d9a74b186b810f6fbb86726dbf3b9532efb343f6d7294fe9c"},
+]
+
+[package.extras]
+diagrams = ["jinja2", "railroad-diagrams"]
+
+[[package]]
+name = "pytest"
+version = "7.4.4"
+description = "pytest: simple powerful testing with Python"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "pytest-7.4.4-py3-none-any.whl", hash = "sha256:b090cdf5ed60bf4c45261be03239c2c1c22df034fbffe691abe93cd80cea01d8"},
+    {file = "pytest-7.4.4.tar.gz", hash = "sha256:2cf0005922c6ace4a3e2ec8b4080eb0d9753fdc93107415332f50ce9e7994280"},
+]
+
+[package.dependencies]
+colorama = {version = "*", markers = "sys_platform == \"win32\""}
+exceptiongroup = {version = ">=1.0.0rc8", markers = "python_version < \"3.11\""}
+iniconfig = "*"
+packaging = "*"
+pluggy = ">=0.12,<2.0"
+tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""}
+
+[package.extras]
+testing = ["argcomplete", "attrs (>=19.2.0)", "hypothesis (>=3.56)", "mock", "nose", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"]
+
+[[package]]
+name = "pytest-dotenv"
+version = "0.5.2"
+description = "A py.test plugin that parses environment files before running tests"
+optional = false
+python-versions = "*"
+files = [
+    {file = "pytest-dotenv-0.5.2.tar.gz", hash = "sha256:2dc6c3ac6d8764c71c6d2804e902d0ff810fa19692e95fe138aefc9b1aa73732"},
+    {file = "pytest_dotenv-0.5.2-py3-none-any.whl", hash = "sha256:40a2cece120a213898afaa5407673f6bd924b1fa7eafce6bda0e8abffe2f710f"},
+]
+
+[package.dependencies]
+pytest = ">=5.0.0"
+python-dotenv = ">=0.9.1"
+
+[[package]]
+name = "python-dateutil"
+version = "2.9.0.post0"
+description = "Extensions to the standard Python datetime module"
+optional = false
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
+files = [
+    {file = "python-dateutil-2.9.0.post0.tar.gz", hash = "sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3"},
+    {file = "python_dateutil-2.9.0.post0-py2.py3-none-any.whl", hash = "sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427"},
+]
+
+[package.dependencies]
+six = ">=1.5"
+
+[[package]]
+name = "python-dotenv"
+version = "1.0.1"
+description = "Read key-value pairs from a .env file and set them as environment variables"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "python-dotenv-1.0.1.tar.gz", hash = "sha256:e324ee90a023d808f1959c46bcbc04446a10ced277783dc6ee09987c37ec10ca"},
+    {file = "python_dotenv-1.0.1-py3-none-any.whl", hash = "sha256:f7b63ef50f1b690dddf550d03497b66d609393b40b564ed0d674909a68ebf16a"},
+]
+
+[package.extras]
+cli = ["click (>=5.0)"]
+
+[[package]]
+name = "six"
+version = "1.16.0"
+description = "Python 2 and 3 compatibility utilities"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
+files = [
+    {file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
+    {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
+]
+
+[[package]]
+name = "tomli"
+version = "2.0.2"
+description = "A lil' TOML parser"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "tomli-2.0.2-py3-none-any.whl", hash = "sha256:2ebe24485c53d303f690b0ec092806a085f07af5a5aa1464f3931eec36caaa38"},
+    {file = "tomli-2.0.2.tar.gz", hash = "sha256:d46d457a85337051c36524bc5349dd91b1877838e2979ac5ced3e710ed8a60ed"},
+]
+
+[[package]]
+name = "typing-extensions"
+version = "4.12.2"
+description = "Backported and Experimental Type Hints for Python 3.8+"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "typing_extensions-4.12.2-py3-none-any.whl", hash = "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d"},
+    {file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"},
+]
+
+[metadata]
+lock-version = "2.0"
+python-versions = "^3.10"
+content-hash = "440d62778fbcd344ce5be61672491bf9e571ba5676add56b26296e30dd2f1bbf"
diff --git a/chart_data_extractor/pyproject.toml b/chart_data_extractor/pyproject.toml
new file mode 100644
index 00000000..1ee9e334
--- /dev/null
+++ b/chart_data_extractor/pyproject.toml
@@ -0,0 +1,29 @@
+[tool.poetry]
+name = "e2b-charts"
+version = "0.0.1"
+description = "Package for extracting data for E2B Code Interpreter"
+authors = ["e2b <hello@e2b.dev>"]
+license = "Apache-2.0"
+readme = "README.md"
+homepage = "https://e2b.dev/"
+repository = "https://github.com/e2b-dev/e2b-code-interpreter/tree/python"
+packages = [{ include = "e2b_charts" }]
+
+[tool.poetry.dependencies]
+python = "^3.10"
+
+numpy = "^1.26.4"
+matplotlib = "^3.9.2"
+pydantic = "^2.8.2"
+
+[tool.poetry.group.dev.dependencies]
+pytest = "^7.4.0"
+python-dotenv = "^1.0.0"
+pytest-dotenv = "^0.5.2"
+
+[build-system]
+requires = ["poetry-core"]
+build-backend = "poetry.core.masonry.api"
+
+[tool.poetry.urls]
+"Bug Tracker" = "https://github.com/e2b-dev/code-interpreter/issues"
diff --git a/chart_data_extractor/tests/graphs/test_bar.py b/chart_data_extractor/tests/graphs/test_bar.py
new file mode 100644
index 00000000..86f27bb0
--- /dev/null
+++ b/chart_data_extractor/tests/graphs/test_bar.py
@@ -0,0 +1,49 @@
+import matplotlib.pyplot as plt
+
+from e2b_charts import graph_figure_to_graph
+from e2b_charts.graphs import BarGraph, GraphType
+
+
+def _prep_graph_figure():
+    # Prepare data
+    authors = ["Author A", "Author B", "Author C", "Author D"]
+    sales = [100, 200, 300, 400]
+
+    # Create and customize the bar graph
+    plt.figure(figsize=(10, 6))
+    plt.bar(authors, sales, label="Books Sold", color="blue")
+    plt.xlabel("Authors")
+    plt.ylabel("Number of Books Sold")
+    plt.title("Book Sales by Authors")
+
+    # Display the graph
+    plt.tight_layout()
+    return plt.gcf()
+
+
+def test_graph_bar():
+    figure = _prep_graph_figure()
+    graph = graph_figure_to_graph(figure)
+    assert graph
+
+    assert isinstance(graph, BarGraph)
+    assert graph.type == GraphType.BAR
+    assert graph.title == "Book Sales by Authors"
+
+    assert graph.x_label == "Authors"
+    assert graph.y_label == "Number of Books Sold"
+
+    assert graph.x_unit is None
+    assert graph.y_unit is None
+
+    bars = graph.elements
+    assert len(bars) == 4
+
+    assert [bar.value for bar in bars] == [100, 200, 300, 400]
+    assert [bar.label for bar in bars] == [
+        "Author A",
+        "Author B",
+        "Author C",
+        "Author D",
+    ]
+    assert [bar.group for bar in bars] == ["Books Sold"] * 4
diff --git a/chart_data_extractor/tests/graphs/test_box_and_whiskers.py b/chart_data_extractor/tests/graphs/test_box_and_whiskers.py
new file mode 100644
index 00000000..06b17599
--- /dev/null
+++ b/chart_data_extractor/tests/graphs/test_box_and_whiskers.py
@@ -0,0 +1,57 @@
+import matplotlib.pyplot as plt
+
+from e2b_charts import graph_figure_to_graph
+from e2b_charts.graphs import BoxAndWhiskerGraph, GraphType
+
+
+def _prep_graph_figure():
+    # Sample data
+    data = {
+        "Class A": [85, 90, 78, 92, 88],
+        "Class B": [95, 89, 76, 91, 84, 87],
+        "Class C": [75, 82, 88, 79, 86],
+    }
+
+    # Create figure and axis
+    fig, ax = plt.subplots(figsize=(10, 6))
+
+    # Plot box plot
+    ax.boxplot(data.values(), tick_labels=data.keys())
+
+    # Customize plot
+    ax.set_title("Exam Scores Distribution")
+    ax.set_xlabel("Class")
+    ax.set_ylabel("Score")
+
+    # Set custom colors
+    ax.boxplot(data.values(), tick_labels=data.keys(), patch_artist=True)
+
+    # Adjust layout and show plot
+    plt.tight_layout()
+    return plt.gcf()
+
+
+def test_box_and_whiskers():
+    figure = _prep_graph_figure()
+    graph = graph_figure_to_graph(figure)
+    assert graph
+
+    assert isinstance(graph, BoxAndWhiskerGraph)
+    assert graph.type == GraphType.BOX_AND_WHISKER
+    assert graph.title == "Exam Scores Distribution"
+
+    assert graph.x_label == "Class"
+    assert graph.y_label == "Score"
+
+    assert graph.x_unit is None
+    assert graph.y_unit is None
+
+    bars = graph.elements
+    assert len(bars) == 3
+
+    assert all(isinstance(bar.min, float) for bar in bars)
+    assert all(isinstance(bar.first_quartile, float) for bar in bars)
+    assert all(isinstance(bar.median, float) for bar in bars)
+    assert all(isinstance(bar.third_quartile, float) for bar in bars)
+    assert all(isinstance(bar.max, float) for bar in bars)
+    assert all(isinstance(bar.label, str) for bar in bars)
diff --git a/chart_data_extractor/tests/graphs/test_categorical_scale.py b/chart_data_extractor/tests/graphs/test_categorical_scale.py
new file mode 100644
index 00000000..aaaea036
--- /dev/null
+++ b/chart_data_extractor/tests/graphs/test_categorical_scale.py
@@ -0,0 +1,27 @@
+import numpy as np
+import matplotlib.pyplot as plt
+import datetime
+
+from e2b_charts import graph_figure_to_graph
+from e2b_charts.graphs import LineGraph
+
+
+def _prep_graph_figure():
+    x = [1, 2, 3, 4, 5]
+    y = ["A", "B", "C", "D", "E"]
+
+    # Create the plot
+    plt.figure(figsize=(10, 6))
+    plt.plot(x, y)
+
+    return plt.gcf()
+
+
+def test_categorical_scale():
+    figure = _prep_graph_figure()
+    graph = graph_figure_to_graph(figure)
+    assert graph
+
+    assert isinstance(graph, LineGraph)
+    assert graph.x_scale == "linear"
+    assert graph.y_scale == "categorical"
diff --git a/chart_data_extractor/tests/graphs/test_datetime_scale.py b/chart_data_extractor/tests/graphs/test_datetime_scale.py
new file mode 100644
index 00000000..73807f3e
--- /dev/null
+++ b/chart_data_extractor/tests/graphs/test_datetime_scale.py
@@ -0,0 +1,30 @@
+import numpy as np
+import matplotlib.pyplot as plt
+import datetime
+
+from e2b_charts import graph_figure_to_graph
+from e2b_charts.graphs import LineGraph
+
+
+def _prep_graph_figure():
+    # Generate x values
+    dates = [
+        datetime.date(2023, 9, 1) + datetime.timedelta(seconds=i) for i in range(100)
+    ]
+    y_sin = np.sin(np.linspace(0, 2 * np.pi, 100))
+
+    # Create the plot
+    plt.figure(figsize=(10, 6))
+    plt.plot(dates, y_sin, label="sin(x)")
+
+    return plt.gcf()
+
+
+def test_datetime_scale():
+    figure = _prep_graph_figure()
+    graph = graph_figure_to_graph(figure)
+    assert graph
+
+    assert isinstance(graph, LineGraph)
+    assert graph.x_scale == "datetime"
+    assert graph.y_scale == "linear"
diff --git a/chart_data_extractor/tests/graphs/test_line.py b/chart_data_extractor/tests/graphs/test_line.py
new file mode 100644
index 00000000..aa162afb
--- /dev/null
+++ b/chart_data_extractor/tests/graphs/test_line.py
@@ -0,0 +1,74 @@
+import numpy as np
+import matplotlib.pyplot as plt
+import datetime
+
+from e2b_charts import graph_figure_to_graph
+from e2b_charts.graphs import LineGraph
+
+
+def _prep_graph_figure():
+    # Generate x values
+    dates = [
+        datetime.date(2023, 9, 1) + datetime.timedelta(seconds=i) for i in range(100)
+    ]
+
+    x = np.linspace(0, 2 * np.pi, 100)
+    # Calculate y values
+    y_sin = np.sin(x)
+    y_cos = np.cos(x)
+
+    # Create the plot
+    plt.figure(figsize=(10, 6))
+    plt.plot(dates, y_sin, label="sin(x)")
+    plt.plot(dates, y_cos, label="cos(x)")
+
+    # Add labels and title
+    plt.xlabel("Time (s)")
+    plt.ylabel("Amplitude (Hz)")
+    plt.title("Plot of sin(x) and cos(x)")
+
+    return plt.gcf()
+
+
+def test_line_graph():
+    figure = _prep_graph_figure()
+    graph = graph_figure_to_graph(figure)
+    assert graph
+
+    assert isinstance(graph, LineGraph)
+    assert graph.title == "Plot of sin(x) and cos(x)"
+
+    assert graph.x_label == "Time (s)"
+    assert graph.y_label == "Amplitude (Hz)"
+
+    assert graph.x_unit == "s"
+    assert graph.y_unit == "Hz"
+
+    assert graph.x_scale == "datetime"
+    assert graph.y_scale == "linear"
+
+    assert all(isinstance(x, str) for x in graph.x_ticks)
+    parsed_date = datetime.datetime.fromisoformat(graph.x_ticks[0])
+    assert isinstance(parsed_date, datetime.datetime)
+    assert all(isinstance(y, float) for y in graph.y_ticks)
+
+    assert all(isinstance(x, str) for x in graph.y_tick_labels)
+    assert all(isinstance(y, str) for y in graph.y_tick_labels)
+
+    lines = graph.elements
+    assert len(lines) == 2
+
+    first_line = lines[0]
+    assert first_line.label == "sin(x)"
+    assert len(first_line.points) == 100
+    assert all(isinstance(point, tuple) for point in first_line.points)
+    assert all(
+        isinstance(x, str) and isinstance(y, float) for x, y in first_line.points
+    )
+
+    parsed_date = datetime.datetime.fromisoformat(first_line.points[0][0])
+    assert isinstance(parsed_date, datetime.datetime)
+
+    second_line = lines[1]
+    assert second_line.label == "cos(x)"
+    assert len(second_line.points) == 100
diff --git a/chart_data_extractor/tests/graphs/test_log_graph.py b/chart_data_extractor/tests/graphs/test_log_graph.py
new file mode 100644
index 00000000..deba7fb4
--- /dev/null
+++ b/chart_data_extractor/tests/graphs/test_log_graph.py
@@ -0,0 +1,63 @@
+import numpy as np
+import matplotlib.pyplot as plt
+
+from e2b_charts import graph_figure_to_graph
+from e2b_charts.graphs import LineGraph
+
+
+def _prep_graph_figure():
+    # Generate x values
+    x = np.linspace(0, 100, 100)
+    # Calculate y values
+    y = np.exp(x)
+
+    # Create the plot
+    plt.figure(figsize=(10, 6))
+    plt.plot(x, y, label="y = e^x")
+
+    # Set log scale for the y-axis
+    plt.yscale("log")
+
+    # Add labels and title
+    plt.xlabel("X-axis")
+    plt.ylabel("Y-axis (log scale)")
+    plt.title("Graph with Log Scale on Y-axis")
+
+    plt.legend()
+    plt.grid(True)
+
+    return plt.gcf()
+
+
+def test_log_graph():
+    figure = _prep_graph_figure()
+    graph = graph_figure_to_graph(figure)
+    assert graph
+
+    assert isinstance(graph, LineGraph)
+    assert graph.title == "Graph with Log Scale on Y-axis"
+
+    assert graph.x_label == "X-axis"
+    assert graph.y_label == "Y-axis (log scale)"
+
+    assert graph.x_unit == None
+    assert graph.y_unit == "log scale"
+
+    assert graph.x_scale == "linear"
+    assert graph.y_scale == "log"
+
+    assert all(isinstance(x, float) for x in graph.x_ticks)
+    assert all(isinstance(y, float) for y in graph.y_ticks)
+
+    assert all(isinstance(x, str) for x in graph.x_tick_labels)
+    assert all(isinstance(y, str) for y in graph.y_tick_labels)
+
+    lines = graph.elements
+    assert len(lines) == 1
+
+    line = lines[0]
+    assert line.label == "y = e^x"
+    assert len(line.points) == 100
+
+    assert all(isinstance(x, tuple) for x in line.points)
+    assert all(isinstance(x, float) and isinstance(y, float) for x, y in line.points)
diff --git a/chart_data_extractor/tests/graphs/test_pie.py b/chart_data_extractor/tests/graphs/test_pie.py
new file mode 100644
index 00000000..103b8a08
--- /dev/null
+++ b/chart_data_extractor/tests/graphs/test_pie.py
@@ -0,0 +1,53 @@
+import matplotlib.pyplot as plt
+
+from e2b_charts import graph_figure_to_graph
+from e2b_charts.graphs import PieGraph
+
+
+def _prep_graph_figure():
+    # Step 1: Define the data for the pie chart
+    categories = ["No", "No, in blue"]
+    sizes = [90, 10]
+
+    # Step 2: Create the figure and axis objects
+    fig, ax = plt.subplots(figsize=(8, 8))
+
+    plt.xlabel("x")
+    plt.ylabel("y")
+
+    # Step 3: Create the pie chart
+    ax.pie(
+        sizes,
+        labels=categories,
+        autopct="%1.1f%%",
+        startangle=90,
+        colors=plt.cm.Pastel1.colors[: len(categories)],
+    )
+
+    # Step 4: Add title and legend
+    ax.axis("equal")  # Equal aspect ratio ensures that pie is drawn as a circle
+    plt.title("Will I wake up early tomorrow?")
+
+    return plt.gcf()
+
+
+def test_pie_graph():
+    figure = _prep_graph_figure()
+    graph = graph_figure_to_graph(figure)
+    assert graph
+
+    assert isinstance(graph, PieGraph)
+
+    assert graph.title == "Will I wake up early tomorrow?"
+
+    assert len(graph.elements) == 2
+
+    first_data = graph.elements[0]
+    assert first_data.label == "No"
+    assert first_data.angle == 324
+    assert first_data.radius == 1
+
+    second_data = graph.elements[1]
+    assert second_data.label == "No, in blue"
+    assert second_data.angle == 36
+    assert second_data.radius == 1
diff --git a/chart_data_extractor/tests/graphs/test_scatter.py b/chart_data_extractor/tests/graphs/test_scatter.py
new file mode 100644
index 00000000..a30bc2d9
--- /dev/null
+++ b/chart_data_extractor/tests/graphs/test_scatter.py
@@ -0,0 +1,58 @@
+import matplotlib.pyplot as plt
+import numpy as np
+
+from e2b_charts import graph_figure_to_graph
+from e2b_charts.graphs import ScatterGraph
+
+
+def _prep_graph_figure():
+    # Create data
+    N = 5
+    x1 = np.random.rand(N)
+    y1 = np.random.rand(N)
+    x2 = np.random.rand(2 * N)
+    y2 = np.random.rand(2 * N)
+
+    plt.figure(figsize=(10, 6))
+
+    plt.xlabel("A")
+    plt.ylabel("B")
+
+    plt.scatter(x1, y1, c="blue", label="Dataset 1")
+    plt.scatter(x2, y2, c="red", label="Dataset 2")
+
+    return plt.gcf()
+
+
+def test_scatter_graph():
+    figure = _prep_graph_figure()
+    graph = graph_figure_to_graph(figure)
+    assert graph
+
+    assert isinstance(graph, ScatterGraph)
+
+    assert graph.title is None
+    assert graph.x_label == "A"
+    assert graph.y_label == "B"
+
+    assert graph.x_scale == "linear"
+    assert graph.y_scale == "linear"
+
+    assert all(isinstance(x, float) for x in graph.x_ticks)
+    assert all(isinstance(y, float) for y in graph.y_ticks)
+
+    assert all(isinstance(x, str) for x in graph.y_tick_labels)
+    assert all(isinstance(y, str) for y in graph.y_tick_labels)
+
+    assert len(graph.elements) == 2
+
+    first_data = graph.elements[0]
+    assert first_data.label == "Dataset 1"
+    assert len(first_data.points) == 5
+    print(first_data.points)
+    assert all(isinstance(x, tuple) for x in first_data.points)
+
+    second_data = graph.elements[1]
+    assert second_data.label == "Dataset 2"
+    assert len(second_data.points) == 10
+    assert all(isinstance(x, tuple) for x in second_data.points)
diff --git a/chart_data_extractor/tests/graphs/test_supergraph.py b/chart_data_extractor/tests/graphs/test_supergraph.py
new file mode 100644
index 00000000..c5a1b23d
--- /dev/null
+++ b/chart_data_extractor/tests/graphs/test_supergraph.py
@@ -0,0 +1,66 @@
+import matplotlib.pyplot as plt
+import numpy as np
+
+from e2b_charts import graph_figure_to_graph
+from e2b_charts.graphs import (
+    GraphType,
+    LineGraph,
+    ScatterGraph,
+)
+from e2b_charts.main import SuperGraph
+
+
+def _prep_graph_figure():
+    # Data for plotting
+    x1 = np.linspace(0, 10, 100)
+    y1 = np.sin(x1)
+
+    # Create a figure with multiple subplots
+    fig, axs = plt.subplots(1, 2, figsize=(10, 8))
+    fig.suptitle("Multiple Graphs Example", fontsize=16)
+
+    # Plotting on the different axes
+    axs[0].plot(x1, y1, "r")
+    axs[0].set_title("Sine Wave")
+    axs[0].grid(True)
+
+    N = 5
+    x2 = np.random.rand(N)
+    y2 = np.random.rand(N)
+
+    axs[1].scatter(x2, y2, c="blue", label="Dataset 1")
+    axs[1].set_xlabel("X")
+    axs[1].set_ylabel("Y")
+    axs[1].set_title("Scatter Plot")
+    axs[1].grid(True)
+
+    return plt.gcf()
+
+
+def test_super_graph():
+    figure = _prep_graph_figure()
+    graph = graph_figure_to_graph(figure)
+    assert graph
+
+    assert isinstance(graph, SuperGraph)
+    assert graph.type == GraphType.SUPERGRAPH
+    assert graph.title == "Multiple Graphs Example"
+
+    graphs = graph.elements
+    assert len(graphs) == 2
+
+    first_graph = graphs[0]
+    assert first_graph.title == "Sine Wave"
+    assert isinstance(first_graph, LineGraph)
+    assert first_graph.x_label is None
+    assert first_graph.y_label is None
+    assert len(first_graph.elements) == 1
+    assert len(first_graph.elements[0].points) == 100
+
+    second_graph = graphs[1]
+    assert second_graph.title == "Scatter Plot"
+    assert isinstance(second_graph, ScatterGraph)
+    assert second_graph.x_label == "X"
+    assert second_graph.y_label == "Y"
+    assert len(second_graph.elements) == 1
+    assert len(second_graph.elements[0].points) == 5
diff --git a/chart_data_extractor/tests/graphs/test_unknown.py b/chart_data_extractor/tests/graphs/test_unknown.py
new file mode 100644
index 00000000..52b3e6cd
--- /dev/null
+++ b/chart_data_extractor/tests/graphs/test_unknown.py
@@ -0,0 +1,37 @@
+import matplotlib.pyplot as plt
+
+from e2b_charts import graph_figure_to_graph
+from e2b_charts.graphs import Graph, GraphType
+
+
+def _prep_graph_figure():
+    # Create a figure and an axis
+    fig, ax = plt.subplots()
+
+    # Create data for two concentric circles
+    circle1 = plt.Circle((0, 0), 1, color="blue", fill=False, linewidth=2)
+    circle2 = plt.Circle((0, 0), 2, color="red", fill=False, linewidth=2)
+
+    # Add the circles to the axes
+    ax.add_artist(circle1)
+    ax.add_artist(circle2)
+
+    # Set grid
+    ax.grid(True)
+
+    # Set title
+    plt.title("Two Concentric Circles")
+
+    return plt.gcf()
+
+
+def test_unknown_graphs():
+    figure = _prep_graph_figure()
+    graph = graph_figure_to_graph(figure)
+    assert graph
+
+    assert isinstance(graph, Graph)
+    assert graph.type == GraphType.UNKNOWN
+    assert graph.title == "Two Concentric Circles"
+
+    assert len(graph.elements) == 0
diff --git a/chart_data_extractor/tests/utils/test_detect_scale.py b/chart_data_extractor/tests/utils/test_detect_scale.py
new file mode 100644
index 00000000..41314b71
--- /dev/null
+++ b/chart_data_extractor/tests/utils/test_detect_scale.py
@@ -0,0 +1,24 @@
+import datetime
+
+from matplotlib.dates import _SwitchableDateConverter
+
+from e2b_charts.graphs.planar import PointGraph
+
+
+def test_detect_scale():
+    datetime_converter = _SwitchableDateConverter()
+    scale = PointGraph._detect_scale(
+        datetime_converter, "linear", 3 * [datetime.date.today()], ["1", "2", "3"]
+    )
+    assert scale == "datetime"
+
+    scale = PointGraph._detect_scale(None, "linear", [1, 2, 3], ["1", "2", "3"])
+    assert scale == "linear"
+
+    scale = PointGraph._detect_scale(
+        None, "linear", [0, 1, 2], ["First", "Second", "Third"]
+    )
+    assert scale == "categorical"
+
+    scale = PointGraph._detect_scale(None, "log", [1, 10, 100], ["1", "10", "100"])
+    assert scale == "log"
diff --git a/chart_data_extractor/tests/utils/test_is_grid_line.py b/chart_data_extractor/tests/utils/test_is_grid_line.py
new file mode 100644
index 00000000..02dcd2fe
--- /dev/null
+++ b/chart_data_extractor/tests/utils/test_is_grid_line.py
@@ -0,0 +1,17 @@
+from matplotlib.lines import Line2D
+
+from e2b_charts.utils.filtering import is_grid_line
+
+
+def test_is_grid_line():
+    not_a_grid_line = Line2D([1, 2], [2, 3])
+    assert not is_grid_line(not_a_grid_line)
+
+    horizontal_grid_line = Line2D([1, 2], [2, 2])
+    assert is_grid_line(horizontal_grid_line)
+
+    vertical_grid_line = Line2D([1, 1], [2, 3])
+    assert is_grid_line(vertical_grid_line)
+
+    long_line = Line2D([1, 1, 1, 1], [2, 3, 4, 5])
+    assert not is_grid_line(long_line)
diff --git a/pnpm-workspace.yaml b/pnpm-workspace.yaml
index c9a0a34e..16b006b4 100644
--- a/pnpm-workspace.yaml
+++ b/pnpm-workspace.yaml
@@ -1,3 +1,4 @@
 packages:
   - js
   - python
+  - chart_data_extractor
diff --git a/template/requirements.txt b/template/requirements.txt
index 01588ce5..502e79c6 100644
--- a/template/requirements.txt
+++ b/template/requirements.txt
@@ -3,6 +3,9 @@ jupyter-server==2.13.0
 ipykernel==6.29.3
 ipython==8.22.2
 
+# Latest version for
+e2b_charts
+
 # Other packages
 aiohttp==3.9.3
 beautifulsoup4==4.12.3
@@ -11,7 +14,7 @@ gensim==4.3.2
 imageio==2.34.0
 joblib==1.3.2
 librosa==0.10.1
-matplotlib==3.8.3
+matplotlib==3.9.2
 nltk==3.8.1
 numpy==1.26.4
 opencv-python==4.9.0.80
diff --git a/template/startup_scripts/0002_data.py b/template/startup_scripts/0002_data.py
index 2fd22b13..6308cf79 100644
--- a/template/startup_scripts/0002_data.py
+++ b/template/startup_scripts/0002_data.py
@@ -1,469 +1,10 @@
-from datetime import date
-import enum
-import re
-from decimal import Decimal, localcontext
-from typing import Optional, List, Tuple, Literal, Any, Union, Sequence
-
-import matplotlib
-import numpy
 import pandas
-from matplotlib.axes import Axes
-from matplotlib.collections import PathCollection
-from matplotlib.lines import Line2D
-from matplotlib.patches import Rectangle, Wedge, PathPatch
 from matplotlib.pyplot import Figure
-from matplotlib.dates import _SwitchableDateConverter
 import IPython
-
 from IPython.core.formatters import BaseFormatter
-from matplotlib.text import Text
-from pydantic import BaseModel, Field, field_validator
 from traitlets.traitlets import Unicode, ObjectName
 
-
-def _is_grid_line(line: Line2D) -> bool:
-    x_data = line.get_xdata()
-    if len(x_data) != 2:
-        return False
-
-    y_data = line.get_ydata()
-    if len(y_data) != 2:
-        return False
-
-    if x_data[0] == x_data[1] or y_data[0] == y_data[1]:
-        return True
-
-    return False
-
-
-def _dynamic_round(number):
-    # Convert to Decimal for precise control
-    decimal_number = Decimal(str(number))
-
-    # Dynamically determine precision based on magnitude
-    precision = max(1, 8 - decimal_number.adjusted())  # 8 digits of precision
-
-    with localcontext() as ctx:
-        ctx.prec = precision  # Set the dynamic precision
-        return +decimal_number  # The + operator applies rounding
-
-
-class ChartType(str, enum.Enum):
-    LINE = "line"
-    SCATTER = "scatter"
-    BAR = "bar"
-    PIE = "pie"
-    BOX_AND_WHISKER = "box_and_whisker"
-    SUPERCHART = "superchart"
-    UNKNOWN = "unknown"
-
-
-class Chart(BaseModel):
-    type: ChartType
-    title: Optional[str] = None
-
-    elements: List[Any] = Field(default_factory=list)
-
-    def __init__(self, ax: Optional[Axes] = None, **kwargs):
-        super().__init__(**kwargs)
-        if ax:
-            self._extract_info(ax)
-
-    def _extract_info(self, ax: Axes) -> None:
-        """
-        Function to extract information for Chart
-        """
-        title = ax.get_title()
-        if title == "":
-            title = None
-
-        self.title = title
-
-
-class Chart2D(Chart):
-    x_label: Optional[str] = None
-    y_label: Optional[str] = None
-    x_unit: Optional[str] = None
-    y_unit: Optional[str] = None
-
-    def _extract_info(self, ax: Axes) -> None:
-        """
-        Function to extract information for Chart2D
-        """
-        super()._extract_info(ax)
-        x_label = ax.get_xlabel()
-        if x_label == "":
-            x_label = None
-        self.x_label = x_label
-
-        y_label = ax.get_ylabel()
-        if y_label == "":
-            y_label = None
-        self.y_label = y_label
-
-        regex = r"\s\((.*?)\)|\[(.*?)\]"
-        if self.x_label:
-            match = re.search(regex, self.x_label)
-            if match:
-                self.x_unit = match.group(1) or match.group(2)
-
-        if self.y_label:
-            match = re.search(regex, self.y_label)
-            if match:
-                self.y_unit = match.group(1) or match.group(2)
-
-    def _change_orientation(self):
-        self.x_label, self.y_label = self.y_label, self.x_label
-        self.x_unit, self.y_unit = self.y_unit, self.x_unit
-
-
-class PointData(BaseModel):
-    label: str
-    points: List[Tuple[Union[str, float], Union[str, float]]]
-
-    @field_validator("points", mode="before")
-    @classmethod
-    def transform_points(
-        cls, value
-    ) -> List[Tuple[Union[str, float], Union[str, float]]]:
-        parsed_value = []
-        for x, y in value:
-            if isinstance(x, date):
-                x = x.isoformat()
-            if isinstance(x, numpy.datetime64):
-                x = x.astype("datetime64[s]").astype(str)
-
-            if isinstance(y, date):
-                y = y.isoformat()
-            if isinstance(y, numpy.datetime64):
-                y = y.astype("datetime64[s]").astype(str)
-
-            parsed_value.append((x, y))
-        return parsed_value
-
-
-class PointChart(Chart2D):
-    x_ticks: List[Union[str, float]] = Field(default_factory=list)
-    x_tick_labels: List[str] = Field(default_factory=list)
-    x_scale: str = Field(default="linear")
-
-    y_ticks: List[Union[str, float]] = Field(default_factory=list)
-    y_tick_labels: List[str] = Field(default_factory=list)
-    y_scale: str = Field(default="linear")
-
-    elements: List[PointData] = Field(default_factory=list)
-
-    def _extract_info(self, ax: Axes) -> None:
-        """
-        Function to extract information for PointChart
-        """
-        super()._extract_info(ax)
-
-        self.x_tick_labels = [label.get_text() for label in ax.get_xticklabels()]
-
-        x_ticks = ax.get_xticks()
-        self.x_ticks = self._extract_ticks_info(ax.xaxis.converter, x_ticks)
-        self.x_scale = self._detect_scale(
-            ax.xaxis.converter, ax.get_xscale(), self.x_ticks, self.x_tick_labels
-        )
-
-        self.y_tick_labels = [label.get_text() for label in ax.get_yticklabels()]
-        self.y_ticks = self._extract_ticks_info(ax.yaxis.converter, ax.get_yticks())
-        self.y_scale = self._detect_scale(
-            ax.yaxis.converter, ax.get_yscale(), self.y_ticks, self.y_tick_labels
-        )
-
-    @staticmethod
-    def _detect_scale(converter, scale: str, ticks: Sequence, labels: Sequence) -> str:
-        # If the converter is a date converter, it's a datetime scale
-        if isinstance(converter, _SwitchableDateConverter):
-            return "datetime"
-
-        # If the scale is not linear, it can't be categorical
-        if scale != "linear":
-            return scale
-
-        # If all the ticks are integers and are in order from 0 to n-1
-        # and the labels aren't corresponding to the ticks, it's categorical
-        for i, tick_and_label in enumerate(zip(ticks, labels)):
-            tick, label = tick_and_label
-            if isinstance(tick, (int, float)) and tick == i and str(i) != label:
-                continue
-            # Found a tick, which wouldn't be in a categorical scale
-            return "linear"
-
-        return "categorical"
-
-    @staticmethod
-    def _extract_ticks_info(converter: Any, ticks: Sequence) -> list:
-        if isinstance(converter, _SwitchableDateConverter):
-            return [matplotlib.dates.num2date(tick).isoformat() for tick in ticks]
-        else:
-            example_tick = ticks[0]
-
-            if isinstance(example_tick, (int, float)):
-                return [float(tick) for tick in ticks]
-            else:
-                return list(ticks)
-
-
-class LineChart(PointChart):
-    type: Literal[ChartType.LINE] = ChartType.LINE
-
-    def _extract_info(self, ax: Axes) -> None:
-        super()._extract_info(ax)
-
-        for line in ax.get_lines():
-            if _is_grid_line(line):
-                continue
-            label = line.get_label()
-            if label.startswith("_child"):
-                number = int(label[6:])
-                label = f"Line {number}"
-
-            points = [(x, y) for x, y in zip(line.get_xdata(), line.get_ydata())]
-            line_data = PointData(label=label, points=points)
-            self.elements.append(line_data)
-
-
-class ScatterChart(PointChart):
-    type: Literal[ChartType.SCATTER] = ChartType.SCATTER
-
-    def _extract_info(self, ax: Axes) -> None:
-        super()._extract_info(ax)
-
-        for collection in ax.collections:
-            points = [(x, y) for x, y in collection.get_offsets()]
-            scatter_data = PointData(label=collection.get_label(), points=points)
-            self.elements.append(scatter_data)
-
-
-class BarData(BaseModel):
-    label: str
-    group: str
-    value: float
-
-
-class BarChart(Chart2D):
-    type: Literal[ChartType.BAR] = ChartType.BAR
-
-    elements: List[BarData] = Field(default_factory=list)
-
-    def _extract_info(self, ax: Axes) -> None:
-        super()._extract_info(ax)
-        for container in ax.containers:
-            group_label = container.get_label()
-            if group_label.startswith("_container"):
-                number = int(group_label[10:])
-                group_label = f"Group {number}"
-
-            heights = [rect.get_height() for rect in container]
-            if all(height == heights[0] for height in heights):
-                # vertical bars
-                self._change_orientation()
-                labels = [label.get_text() for label in ax.get_yticklabels()]
-                values = [rect.get_width() for rect in container]
-            else:
-                # horizontal bars
-                labels = [label.get_text() for label in ax.get_xticklabels()]
-                values = heights
-            for label, value in zip(labels, values):
-
-                bar = BarData(label=label, value=value, group=group_label)
-                self.elements.append(bar)
-
-
-class PieData(BaseModel):
-    label: str
-    angle: float
-    radius: float
-
-
-class PieChart(Chart):
-    type: Literal[ChartType.PIE] = ChartType.PIE
-
-    elements: List[PieData] = Field(default_factory=list)
-
-    def _extract_info(self, ax: Axes) -> None:
-        super()._extract_info(ax)
-
-        for wedge in ax.patches:
-            pie_data = PieData(
-                label=wedge.get_label(),
-                angle=abs(
-                    _dynamic_round(Decimal(wedge.theta2) - Decimal(wedge.theta1))
-                ),
-                radius=wedge.r,
-            )
-
-            self.elements.append(pie_data)
-
-
-class BoxAndWhiskerData(BaseModel):
-    label: str
-    min: float
-    first_quartile: float
-    median: float
-    third_quartile: float
-    max: float
-    outliers: List[float] = Field(default_factory=list)
-
-
-class BoxAndWhiskerChart(Chart2D):
-    type: Literal[ChartType.BOX_AND_WHISKER] = ChartType.BOX_AND_WHISKER
-
-    elements: List[BoxAndWhiskerData] = Field(default_factory=list)
-
-    def _extract_info(self, ax: Axes) -> None:
-        super()._extract_info(ax)
-
-        labels = [item.get_text() for item in ax.get_xticklabels()]
-
-        boxes = []
-        for label, box in zip(labels, ax.patches):
-            vertices = box.get_path().vertices
-            x_vertices = [_dynamic_round(x) for x in vertices[:, 0]]
-            y_vertices = [_dynamic_round(y) for y in vertices[:, 1]]
-            x = min(x_vertices)
-            y = min(y_vertices)
-            boxes.append(
-                {
-                    "x": x,
-                    "y": y,
-                    "label": label,
-                    "width": max(x_vertices) - x,
-                    "height": max(y_vertices) - y,
-                    "outliers": [],
-                }
-            )
-
-        orientation = "horizontal"
-        if all(box["height"] == boxes[0]["height"] for box in boxes):
-            orientation = "vertical"
-
-        if orientation == "vertical":
-            self._change_orientation()
-            for box in boxes:
-                box["x"], box["y"] = box["y"], box["x"]
-                box["width"], box["height"] = box["height"], box["width"]
-
-        for i, line in enumerate(ax.lines):
-            xdata = [_dynamic_round(x) for x in line.get_xdata()]
-            ydata = [_dynamic_round(y) for y in line.get_ydata()]
-
-            if orientation == "vertical":
-                xdata, ydata = ydata, xdata
-
-            if len(xdata) == 1:
-                for box in boxes:
-                    if box["x"] <= xdata[0] <= box["x"] + box["width"]:
-                        break
-                else:
-                    continue
-
-                box["outliers"].append(ydata[0])
-            if len(ydata) != 2:
-                continue
-            for box in boxes:
-                if box["x"] <= xdata[0] <= xdata[1] <= box["x"] + box["width"]:
-                    break
-            else:
-                continue
-
-            if (
-                # Check if the line is inside the box, prevent floating point errors
-                ydata[0] == ydata[1]
-                and box["y"] <= ydata[0] <= box["y"] + box["height"]
-            ):
-                box["median"] = ydata[0]
-                continue
-
-            lower_value = min(ydata)
-            upper_value = max(ydata)
-            if upper_value == box["y"]:
-                box["whisker_lower"] = lower_value
-            elif lower_value == box["y"] + box["height"]:
-                box["whisker_upper"] = upper_value
-
-        self.elements = [
-            BoxAndWhiskerData(
-                label=box["label"],
-                min=box["whisker_lower"],
-                first_quartile=box["y"],
-                median=box["median"],
-                third_quartile=box["y"] + box["height"],
-                max=box["whisker_upper"],
-                outliers=box["outliers"],
-            )
-            for box in boxes
-        ]
-
-
-class SuperChart(Chart):
-    type: Literal[ChartType.SUPERCHART] = ChartType.SUPERCHART
-    elements: List[
-        LineChart | ScatterChart | BarChart | PieChart | BoxAndWhiskerChart
-    ] = Field(default_factory=list)
-
-    def __init__(self, figure: Figure):
-        title = figure.get_suptitle()
-        super().__init__(title=title)
-
-        self.elements = [get_chart_from_ax(ax) for ax in figure.axes]
-
-
-def _get_type_of_chart(ax: Axes) -> ChartType:
-    objects = list(filter(lambda obj: not isinstance(obj, Text), ax._children))
-
-    # Check for Line plots
-    if all(isinstance(line, Line2D) for line in objects):
-        return ChartType.LINE
-
-    if all(isinstance(box_or_path, (PathPatch, Line2D)) for box_or_path in objects):
-        return ChartType.BOX_AND_WHISKER
-
-    filtered = []
-    for obj in objects:
-        if isinstance(obj, Line2D) and _is_grid_line(obj):
-            continue
-        filtered.append(obj)
-
-    objects = filtered
-
-    # Check for Scatter plots
-    if all(isinstance(path, PathCollection) for path in objects):
-        return ChartType.SCATTER
-
-    # Check for Pie plots
-    if all(isinstance(artist, Wedge) for artist in objects):
-        return ChartType.PIE
-
-    # Check for Bar plots
-    if all(isinstance(rect, Rectangle) for rect in objects):
-        return ChartType.BAR
-
-    return ChartType.UNKNOWN
-
-
-def get_chart_from_ax(
-    ax: Axes,
-) -> LineChart | ScatterChart | BarChart | PieChart | BoxAndWhiskerChart | Chart:
-    chart_type = _get_type_of_chart(ax)
-
-    if chart_type == ChartType.LINE:
-        chart = LineChart(ax=ax)
-    elif chart_type == ChartType.SCATTER:
-        chart = ScatterChart(ax=ax)
-    elif chart_type == ChartType.BAR:
-        chart = BarChart(ax=ax)
-    elif chart_type == ChartType.PIE:
-        chart = PieChart(ax=ax)
-    elif chart_type == ChartType.BOX_AND_WHISKER:
-        chart = BoxAndWhiskerChart(ax=ax)
-    else:
-        chart = Chart(ax=ax, type=chart_type)
-
-    return chart
+from e2b_charts import graph_figure_to_graph
 
 
 def _figure_repr_e2b_chart_(self: Figure):
@@ -471,17 +12,8 @@ def _figure_repr_e2b_chart_(self: Figure):
     This method is used to extract data from the figure object to a dictionary
     """
     # Get all Axes objects from the Figure
-    axes = self.get_axes()
-
     try:
-        if not axes:
-            return {}
-        elif len(axes) > 1:
-            chart = SuperChart(figure=self)
-        else:
-            ax = axes[0]
-            chart = get_chart_from_ax(ax)
-        return chart.model_dump()
+        return graph_figure_to_graph(self)
     except:
         return {}