implement replay

README.md

@@ -1,90 +1,36 @@
-# Evilnkode Project
+# Evil nKode
 
-This README provides instructions for setting up and running the `evilnkode` project using Conda, activating the environment, and executing the provided CLI scripts. It also covers how to access help for command-line options.
+Simulated nKode Cracker
 
-## Prerequisites
+## Installation
 
-- **Conda**: Ensure you have Conda installed (Miniconda or Anaconda). Download from [conda.io](https://conda.io).
+- Python version 3.10 or greater is required
+- Install anaconda (or your preferred tool for environment management)
 
-## Setting Up the Environment
-
-To set up the project environment using the provided `environment.yaml` file, follow these steps:
-
-1. **Install the environment**:
-   - Ensure you are in the project root directory where `environment.yaml` is located.
-   - Run the following command to create the `evilnkode` environment:
+### Using conda
 ```bash
-     conda env create -f environment.yaml
+conda env create -f environment.yml
+conda activate pynkode
 ```
-   - This will install all dependencies specified in `environment.yaml`.
 
-## Activating the Environment
-
-To activate the `evilnkode` environment, run:
+## Starting a Jupyter Notebook
 
+### Option 1: Using classic Jupyter Notebook
 ```bash
-conda activate evilnkode
+# Ensure your environment is activated
+# For conda: conda activate pynkode
+# For pyenv: (should be automatic if in the directory)
+
+# Start the Jupyter Notebook server
+jupyter notebook
 ```
 
-Once activated, your terminal prompt should change to include `(evilnkode)`, indicating the environment is active.
-
-## Running CLI Scripts
-
-The project includes two main CLI scripts: `cli.visualnkode` and `cli.benchmark_histogram`. Below are instructions to run each.
-
-### Running `cli.visualnkode`
-
-To execute the `visualnkode` CLI script:
-
+### Option 2: Using JupyterLab
 ```bash
-python -m cli.visualnkode
+# Ensure your environment is activated
+# Start JupyterLab
+jupyter lab
 ```
 
-- This command runs the `visualnkode` module from the `cli` package.
-- To view available options and arguments, use the `-help` flag:
-  ```bash
-  python -m cli.visualnkode -help
-  ```
-
-### Running `cli.benchmark_histogram`
-
-To execute the `benchmark_histogram` CLI script:
-
-```bash
-python -m cli.benchmark_histogram
-```
-
-- This command runs the `benchmark_histogram` module, which may generate output such as benchmark results or histograms. For example, it might produce output like:
-  ```
-  File exists: output/slidingtowershufflekeypad-6-8-4-5-4-4-10000/benchmark/slidingtowershufflekeypad-6-8-4-5-4-4-10000.pkl
-  Bench SlidingTowerShuffle Break 5
-  Bench SlidingTowerShuffle Replay 5
-  ```
-- To view available options and arguments, use the `-help` flag:
-  ```bash
-  python -m cli.benchmark_histogram -help
-  ```
-
-## Using the `-help` Flag
-
-Both CLI scripts (`cli.visualnkode` and `cli.benchmark_histogram`) support a `-help` flag to display available command-line options and their descriptions. Run the following to explore options for each script:
-
-```bash
-python -m cli.visualnkode -help
-python -m cli.benchmark_histogram -help
-```
-
-This will provide detailed information about parameters, flags, and usage for each script.
-
-## Project Structure
-
-Key files and directories in the project:
-
-- `environment.yaml`: Conda environment configuration file.
-- `cli/`: Contains CLI scripts (`visualnkode` and `benchmark_histogram`).
-- `output/`: Directory where script outputs, such as benchmark results, are stored.
-- `src/`: Source code for the project.
-- `tests/`: Test scripts for the project.
-- `requirements.txt`: Additional dependencies (if needed outside Conda).
-
-For further details, explore the project documentation in the `docs/` directory.
+## Notebooks
+- [evilnkode](notebooks/evilkode.ipynb)

cli/benchmark_histogram.py

@@ -1,115 +0,0 @@
-import argparse
-from src.benchmark import benchmark
-import matplotlib.pyplot as plt
-from pathlib import Path
-from statistics import mean
-from src.keypad.keypad import (
-    RandomSplitShuffleKeypad,
-    RandomShuffleKeypad,
-    SlidingSplitShuffleKeypad,
-    SlidingTowerShuffleKeypad,
-)
-
-
-def bench_histogram(data, title, number_of_keys, properties_per_key, passcode_len, max_tries_before_lockout, complexity,
-                    disparity, run_count, save_path: Path = None):
-    min_val = min(data)
-    max_val = max(data)
-    bins = range(min_val, max_val + 2)
-    plt.hist(data, bins=bins, edgecolor='black')
-    plt.title(title)
-    plt.xlabel('# of Login Observations')
-    plt.ylabel('Simulations')
-    text = (f"number_of_keys={number_of_keys}\n"
-            f"properties_per_key={properties_per_key}\n"
-            f"passcode_len={passcode_len}\n"
-            f"max_tries_before_lockout={max_tries_before_lockout}\n"
-            f"complexity={complexity}\n"
-            f"disparity={disparity}\n"
-            f"run_count={run_count}")
-    plt.text(0.95, 0.95, text, transform=plt.gca().transAxes, fontsize=10,
-             verticalalignment='top', horizontalalignment='right', bbox=dict(facecolor='white', alpha=0.5))
-    if save_path:
-        save_path = save_path / "histogram"
-        save_path.mkdir(parents=True, exist_ok=True)
-        filename = (f"{title.replace(' ', '_')}_keys{number_of_keys}_"
-                    f"props{properties_per_key}_pass{passcode_len}_tries{max_tries_before_lockout}_"
-                    f"comp{complexity}_disp{disparity}_runs{run_count}.png")
-        plt.savefig(save_path / filename, bbox_inches='tight', dpi=300)
-    plt.close()
-
-
-def main():
-    parser = argparse.ArgumentParser(description='Benchmark Keypad Shuffle')
-    parser.add_argument('--shuffle_type', type=str,
-                        choices=['RandomSplitShuffle', 'RandomShuffle', 'SlidingSplitShuffle', 'SlidingTowerShuffle'],
-                        default='SlidingTowerShuffle', help='Type of keypad shuffle')
-    parser.add_argument('--number_of_keys', type=int, default=6, help='Number of keys')
-    parser.add_argument('--properties_per_key', type=int, default=8, help='Properties per key')
-    parser.add_argument('--passcode_len', type=int, default=4, help='Passcode length')
-    parser.add_argument('--max_tries_before_lockout', type=int, default=5, help='Max tries before lockout')
-    parser.add_argument('--complexity', type=int, default=4, help='Complexity')
-    parser.add_argument('--disparity', type=int, default=4, help='Disparity')
-    parser.add_argument('--run_count', type=int, default=10000, help='Number of runs')
-    parser.add_argument('--output_dir', type=str, default='./output',
-                        help='Output directory for histograms')
-
-    args = parser.parse_args()
-
-    shuffle_classes = {
-        'RandomSplitShuffle': RandomSplitShuffleKeypad,
-        'RandomShuffle': RandomShuffleKeypad,
-        'SlidingSplitShuffle': SlidingSplitShuffleKeypad,
-        'SlidingTowerShuffle': SlidingTowerShuffleKeypad
-    }
-
-    keypad_class = shuffle_classes[args.shuffle_type]
-    keypad = keypad_class.new_keypad(args.number_of_keys, args.properties_per_key)
-
-    shuffle_type = str(type(keypad)).lower().split('.')[-1].replace("'>", "")
-    run_name = f"{shuffle_type}-{args.number_of_keys}-{args.properties_per_key}-{args.passcode_len}-{args.max_tries_before_lockout}-{args.complexity}-{args.disparity}-{args.run_count}"
-    save_path = Path(args.output_dir) / run_name
-    bench_result = benchmark(
-        number_of_keys=args.number_of_keys,
-        properties_per_key=args.properties_per_key,
-        passcode_len=args.passcode_len,
-        max_tries_before_lockout=args.max_tries_before_lockout,
-        run_count=args.run_count,
-        complexity=args.complexity,
-        disparity=args.disparity,
-        keypad=keypad,
-        file_path=save_path,
-    )
-
-    print(f"Bench {args.shuffle_type} Break {mean(bench_result.iterations_to_break)}")
-    print(f"Bench {args.shuffle_type} Replay {mean(bench_result.iterations_to_replay)}")
-
-    bench_histogram(
-        bench_result.iterations_to_break,
-        f"{args.shuffle_type} Break",
-        args.number_of_keys,
-        args.properties_per_key,
-        args.passcode_len,
-        args.max_tries_before_lockout,
-        args.complexity,
-        args.disparity,
-        args.run_count,
-        save_path
-    )
-
-    bench_histogram(
-        bench_result.iterations_to_replay,
-        f"{args.shuffle_type} Replay",
-        args.number_of_keys,
-        args.properties_per_key,
-        args.passcode_len,
-        args.max_tries_before_lockout,
-        args.complexity,
-        args.disparity,
-        args.run_count,
-        save_path,
-    )
-
-
-if __name__ == "__main__":
-    main()

environment.yaml

@@ -1,544 +0,0 @@
-name: base
-channels:
-  - defaults
-dependencies:
-  - _anaconda_depends=2024.10=py312_openblas_0
-  - aiobotocore=2.12.3=py312hca03da5_0
-  - aiohappyeyeballs=2.4.3=py312hca03da5_0
-  - aiohttp=3.10.5=py312h80987f9_0
-  - aioitertools=0.7.1=pyhd3eb1b0_0
-  - aiosignal=1.2.0=pyhd3eb1b0_0
-  - alabaster=0.7.16=py312hca03da5_0
-  - altair=5.0.1=py312hca03da5_0
-  - anaconda-anon-usage=0.5.0=py312hd6b623d_100
-  - anaconda-catalogs=0.2.0=py312hca03da5_1
-  - anaconda-cli-base=0.4.1=py312hca03da5_1
-  - anaconda-client=1.13.0=py312hca03da5_0
-  - anaconda-cloud-auth=0.7.2=py312hca03da5_0
-  - anaconda-navigator=2.6.4=py312hca03da5_0
-  - anaconda-project=0.11.1=py312hca03da5_0
-  - annotated-types=0.6.0=py312hca03da5_0
-  - anyio=4.6.2=py312hca03da5_0
-  - aom=3.6.0=h313beb8_0
-  - appdirs=1.4.4=pyhd3eb1b0_0
-  - applaunchservices=0.3.0=py312hca03da5_0
-  - appnope=0.1.3=py312hca03da5_1001
-  - appscript=1.2.5=py312h80987f9_0
-  - archspec=0.2.3=pyhd3eb1b0_0
-  - argon2-cffi=21.3.0=pyhd3eb1b0_0
-  - argon2-cffi-bindings=21.2.0=py312h80987f9_0
-  - arrow=1.3.0=py312hca03da5_0
-  - arrow-cpp=16.1.0=hbc20fb2_0
-  - astroid=3.2.4=py312hca03da5_0
-  - astropy=6.1.3=py312h80987f9_0
-  - astropy-iers-data=0.2024.9.2.0.33.23=py312hca03da5_0
-  - asttokens=2.0.5=pyhd3eb1b0_0
-  - async-lru=2.0.4=py312hca03da5_0
-  - asyncssh=2.17.0=py312hca03da5_0
-  - atomicwrites=1.4.0=py_0
-  - attrs=24.2.0=py312hca03da5_0
-  - automat=20.2.0=py_0
-  - autopep8=2.0.4=pyhd3eb1b0_0
-  - aws-c-auth=0.6.19=h80987f9_0
-  - aws-c-cal=0.5.20=h80987f9_0
-  - aws-c-common=0.8.5=h80987f9_0
-  - aws-c-compression=0.2.16=h80987f9_0
-  - aws-c-event-stream=0.2.15=h313beb8_0
-  - aws-c-http=0.6.25=h80987f9_0
-  - aws-c-io=0.13.10=h80987f9_0
-  - aws-c-mqtt=0.7.13=h80987f9_0
-  - aws-c-s3=0.1.51=h80987f9_0
-  - aws-c-sdkutils=0.1.6=h80987f9_0
-  - aws-checksums=0.1.13=h80987f9_0
-  - aws-crt-cpp=0.18.16=h313beb8_0
-  - aws-sdk-cpp=1.10.55=h313beb8_0
-  - babel=2.11.0=py312hca03da5_0
-  - backports=1.1=pyhd3eb1b0_1
-  - backports.functools_lru_cache=1.6.4=pyhd3eb1b0_0
-  - backports.tempfile=1.0=pyhd3eb1b0_1
-  - backports.weakref=1.0.post1=py_1
-  - bcrypt=3.2.0=py312h80987f9_1
-  - beautifulsoup4=4.12.3=py312hca03da5_0
-  - binaryornot=0.4.4=pyhd3eb1b0_1
-  - black=24.8.0=py312hca03da5_0
-  - blas=1.0=openblas
-  - bleach=6.2.0=py312hca03da5_0
-  - blinker=1.6.2=py312hca03da5_0
-  - blosc=1.21.3=h313beb8_0
-  - bokeh=3.6.0=py312hca03da5_0
-  - boltons=23.0.0=py312hca03da5_0
-  - boost-cpp=1.82.0=h48ca7d4_2
-  - botocore=1.34.69=py312hca03da5_0
-  - bottleneck=1.4.2=py312ha86b861_0
-  - brotli=1.0.9=h80987f9_8
-  - brotli-bin=1.0.9=h80987f9_8
-  - brotli-python=1.0.9=py312h313beb8_8
-  - brunsli=0.1=hc377ac9_1
-  - bzip2=1.0.8=h80987f9_6
-  - c-ares=1.19.1=h80987f9_0
-  - c-blosc2=2.12.0=h7df6c2f_0
-  - ca-certificates=2024.11.26=hca03da5_0
-  - cachetools=5.3.3=py312hca03da5_0
-  - cctools=949.0.1=hc179dcd_25
-  - cctools_osx-arm64=949.0.1=h332cad3_25
-  - certifi=2024.8.30=py312hca03da5_0
-  - cffi=1.17.1=py312h3eb5a62_0
-  - cfitsio=3.470=h7f6438f_7
-  - chardet=4.0.0=py312hca03da5_1003
-  - charls=2.2.0=hc377ac9_0
-  - charset-normalizer=3.3.2=pyhd3eb1b0_0
-  - click=8.1.7=py312hca03da5_0
-  - cloudpickle=3.0.0=py312hca03da5_0
-  - colorama=0.4.6=py312hca03da5_0
-  - colorcet=3.1.0=py312hca03da5_0
-  - comm=0.2.1=py312hca03da5_0
-  - conda=24.11.0=py312hca03da5_0
-  - conda-build=24.11.2=py312hca03da5_0
-  - conda-content-trust=0.2.0=py312hca03da5_1
-  - conda-index=0.5.0=py312hca03da5_0
-  - conda-libmamba-solver=24.9.0=pyhd3eb1b0_0
-  - conda-pack=0.6.0=pyhd3eb1b0_0
-  - conda-package-handling=2.4.0=py312hca03da5_0
-  - conda-package-streaming=0.11.0=py312hca03da5_0
-  - conda-repo-cli=1.0.114=py312hca03da5_0
-  - conda-token=0.4.0=pyhd3eb1b0_0
-  - conda-verify=3.4.2=py_1
-  - constantly=23.10.4=py312hca03da5_0
-  - contourpy=1.3.1=py312h48ca7d4_0
-  - cookiecutter=2.6.0=py312hca03da5_0
-  - cryptography=43.0.3=py312h8026fc7_1
-  - cssselect=1.2.0=py312hca03da5_0
-  - curl=8.9.1=h02f6b3c_0
-  - cycler=0.11.0=pyhd3eb1b0_0
-  - cyrus-sasl=2.1.28=h9131b1a_1
-  - cytoolz=0.12.2=py312h80987f9_0
-  - dask=2024.8.2=py312hca03da5_0
-  - dask-core=2024.8.2=py312hca03da5_0
-  - dask-expr=1.1.13=py312hca03da5_0
-  - datasets=2.19.1=py312hca03da5_0
-  - datashader=0.16.3=py312hca03da5_0
-  - dav1d=1.2.1=h80987f9_0
-  - debugpy=1.6.7=py312h313beb8_0
-  - decorator=5.1.1=pyhd3eb1b0_0
-  - defusedxml=0.7.1=pyhd3eb1b0_0
-  - deprecated=1.2.13=py312hca03da5_0
-  - diff-match-patch=20200713=pyhd3eb1b0_0
-  - dill=0.3.8=py312hca03da5_0
-  - distributed=2024.8.2=py312hca03da5_0
-  - distro=1.9.0=py312hca03da5_0
-  - dmglib=0.9.5=py312hca03da5_0
-  - docstring-to-markdown=0.11=py312hca03da5_0
-  - docutils=0.18.1=py312hca03da5_3
-  - et_xmlfile=1.1.0=py312hca03da5_1
-  - executing=0.8.3=pyhd3eb1b0_0
-  - expat=2.6.3=h313beb8_0
-  - filelock=3.13.1=py312hca03da5_0
-  - flake8=7.1.1=py312hca03da5_0
-  - flask=3.0.3=py312hca03da5_0
-  - fmt=9.1.0=h48ca7d4_1
-  - fonttools=4.51.0=py312h80987f9_0
-  - freetype=2.12.1=h1192e45_0
-  - frozendict=2.4.2=py312hca03da5_0
-  - frozenlist=1.5.0=py312h80987f9_0
-  - fsspec=2024.3.1=py312hca03da5_0
-  - future=1.0.0=py312hca03da5_0
-  - gensim=4.3.3=py312hd77ebd4_0
-  - gettext=0.21.0=hbdbcc25_2
-  - gflags=2.2.2=h313beb8_1
-  - giflib=5.2.2=h80987f9_0
-  - gitdb=4.0.7=pyhd3eb1b0_0
-  - gitpython=3.1.43=py312hca03da5_0
-  - glib=2.78.4=h313beb8_0
-  - glib-tools=2.78.4=h313beb8_0
-  - glog=0.5.0=h313beb8_1
-  - gmp=6.2.1=hc377ac9_3
-  - greenlet=3.0.1=py312h313beb8_0
-  - gst-plugins-base=1.14.1=h313beb8_1
-  - gstreamer=1.14.1=h80987f9_1
-  - h11=0.14.0=py312hca03da5_0
-  - h5py=3.12.1=py312h8456320_0
-  - hdf5=1.12.1=h05c076b_3
-  - heapdict=1.0.1=pyhd3eb1b0_0
-  - holoviews=1.20.0=py312hca03da5_0
-  - httpcore=1.0.2=py312hca03da5_0
-  - httpx=0.27.0=py312hca03da5_0
-  - huggingface_hub=0.24.6=py312hca03da5_0
-  - hvplot=0.11.1=py312hca03da5_0
-  - hyperlink=21.0.0=pyhd3eb1b0_0
-  - icu=73.1=h313beb8_0
-  - idna=3.7=py312hca03da5_0
-  - imagecodecs=2023.1.23=py312h75b721f_1
-  - imageio=2.33.1=py312hca03da5_0
-  - imagesize=1.4.1=py312hca03da5_0
-  - imbalanced-learn=0.12.3=py312hca03da5_1
-  - importlib-metadata=8.5.0=py312hca03da5_0
-  - importlib_metadata=8.5.0=hd3eb1b0_0
-  - incremental=22.10.0=pyhd3eb1b0_0
-  - inflection=0.5.1=py312hca03da5_1
-  - iniconfig=1.1.1=pyhd3eb1b0_0
-  - intake=2.0.7=py312hca03da5_0
-  - intervaltree=3.1.0=pyhd3eb1b0_0
-  - ipykernel=6.29.5=py312hca03da5_0
-  - ipython=8.27.0=py312hca03da5_0
-  - ipython_genutils=0.2.0=pyhd3eb1b0_1
-  - ipywidgets=7.8.1=py312hca03da5_0
-  - isort=5.13.2=py312hca03da5_0
-  - itemadapter=0.3.0=pyhd3eb1b0_0
-  - itemloaders=1.1.0=py312hca03da5_0
-  - itsdangerous=2.2.0=py312hca03da5_0
-  - jaraco.classes=3.2.1=pyhd3eb1b0_0
-  - jedi=0.19.1=py312hca03da5_0
-  - jellyfish=1.0.1=py312h1bd1ac0_1
-  - jinja2=3.1.4=py312hca03da5_1
-  - jmespath=1.0.1=py312hca03da5_0
-  - joblib=1.4.2=py312hca03da5_0
-  - jpeg=9e=h80987f9_3
-  - jq=1.7.1=h80987f9_0
-  - json5=0.9.25=py312hca03da5_0
-  - jsonpatch=1.33=py312hca03da5_1
-  - jsonpointer=2.1=pyhd3eb1b0_0
-  - jsonschema=4.23.0=py312hca03da5_0
-  - jsonschema-specifications=2023.7.1=py312hca03da5_0
-  - jupyter=1.0.0=py312hca03da5_9
-  - jupyter-lsp=2.2.0=py312hca03da5_0
-  - jupyter_client=8.6.0=py312hca03da5_0
-  - jupyter_console=6.6.3=py312hca03da5_1
-  - jupyter_core=5.7.2=py312hca03da5_0
-  - jupyter_events=0.10.0=py312hca03da5_0
-  - jupyter_server=2.14.1=py312hca03da5_0
-  - jupyter_server_terminals=0.4.4=py312hca03da5_1
-  - jupyterlab=4.2.5=py312hca03da5_0
-  - jupyterlab-variableinspector=3.1.0=py312hca03da5_0
-  - jupyterlab_pygments=0.1.2=py_0
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-  - zeromq=4.3.5=h313beb8_0
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-  - zipp=3.21.0=py312hca03da5_0
-  - zlib=1.2.13=h18a0788_1
-  - zlib-ng=2.0.7=h80987f9_0
-  - zope=1.0=py312hca03da5_1
-  - zope.interface=7.1.1=py312h80987f9_0
-  - zstandard=0.23.0=py312h1a4646a_1
-  - zstd=1.5.6=hfb09047_0
-  - pip:
-      - svgpathtools==1.7.0
-      - svgwrite==1.4.3
-prefix: /opt/homebrew/anaconda3

environment.yml

@@ -0,0 +1,125 @@
+name: evilnkode
+channels:
+  - defaults
+dependencies:
+  - anyio=4.6.2=py312hca03da5_0
+  - appnope=0.1.3=py312hca03da5_1001
+  - argon2-cffi=21.3.0=pyhd3eb1b0_0
+  - argon2-cffi-bindings=21.2.0=py312h80987f9_0
+  - asttokens=2.0.5=pyhd3eb1b0_0
+  - async-lru=2.0.4=py312hca03da5_0
+  - attrs=24.2.0=py312hca03da5_0
+  - babel=2.11.0=py312hca03da5_0
+  - beautifulsoup4=4.12.3=py312hca03da5_0
+  - bleach=6.2.0=py312hca03da5_0
+  - brotli-python=1.0.9=py312h313beb8_8
+  - bzip2=1.0.8=h80987f9_6
+  - ca-certificates=2024.12.31=hca03da5_0
+  - certifi=2024.12.14=py312hca03da5_0
+  - cffi=1.17.1=py312h3eb5a62_0
+  - charset-normalizer=3.3.2=pyhd3eb1b0_0
+  - comm=0.2.1=py312hca03da5_0
+  - debugpy=1.6.7=py312h313beb8_0
+  - decorator=5.1.1=pyhd3eb1b0_0
+  - defusedxml=0.7.1=pyhd3eb1b0_0
+  - executing=0.8.3=pyhd3eb1b0_0
+  - expat=2.6.3=h313beb8_0
+  - h11=0.14.0=py312hca03da5_0
+  - httpcore=1.0.2=py312hca03da5_0
+  - httpx=0.27.0=py312hca03da5_0
+  - idna=3.7=py312hca03da5_0
+  - ipykernel=6.29.5=py312hca03da5_0
+  - ipython=8.27.0=py312hca03da5_0
+  - jedi=0.19.1=py312hca03da5_0
+  - jinja2=3.1.4=py312hca03da5_1
+  - json5=0.9.25=py312hca03da5_0
+  - jsonschema=4.23.0=py312hca03da5_0
+  - jsonschema-specifications=2023.7.1=py312hca03da5_0
+  - jupyter-lsp=2.2.0=py312hca03da5_0
+  - jupyter_client=8.6.0=py312hca03da5_0
+  - jupyter_core=5.7.2=py312hca03da5_0
+  - jupyter_events=0.10.0=py312hca03da5_0
+  - jupyter_server=2.14.1=py312hca03da5_0
+  - jupyter_server_terminals=0.4.4=py312hca03da5_1
+  - jupyterlab=4.2.5=py312hca03da5_0
+  - jupyterlab_pygments=0.1.2=py_0
+  - jupyterlab_server=2.27.3=py312hca03da5_0
+  - libcxx=14.0.6=h848a8c0_0
+  - libffi=3.4.4=hca03da5_1
+  - libsodium=1.0.18=h1a28f6b_0
+  - markupsafe=2.1.3=py312h80987f9_0
+  - matplotlib-inline=0.1.6=py312hca03da5_0
+  - mistune=2.0.4=py312hca03da5_0
+  - nbclient=0.8.0=py312hca03da5_0
+  - nbconvert=7.16.4=py312hca03da5_0
+  - nbformat=5.10.4=py312hca03da5_0
+  - ncurses=6.4=h313beb8_0
+  - nest-asyncio=1.6.0=py312hca03da5_0
+  - notebook=7.2.2=py312hca03da5_1
+  - notebook-shim=0.2.3=py312hca03da5_0
+  - openssl=3.0.15=h80987f9_0
+  - overrides=7.4.0=py312hca03da5_0
+  - packaging=24.1=py312hca03da5_0
+  - pandocfilters=1.5.0=pyhd3eb1b0_0
+  - parso=0.8.3=pyhd3eb1b0_0
+  - pexpect=4.8.0=pyhd3eb1b0_3
+  - pip=24.2=py312hca03da5_0
+  - platformdirs=3.10.0=py312hca03da5_0
+  - prometheus_client=0.21.0=py312hca03da5_0
+  - prompt-toolkit=3.0.43=py312hca03da5_0
+  - prompt_toolkit=3.0.43=hd3eb1b0_0
+  - psutil=5.9.0=py312h80987f9_0
+  - ptyprocess=0.7.0=pyhd3eb1b0_2
+  - pure_eval=0.2.2=pyhd3eb1b0_0
+  - pycparser=2.21=pyhd3eb1b0_0
+  - pygments=2.15.1=py312hca03da5_1
+  - pysocks=1.7.1=py312hca03da5_0
+  - python=3.12.7=h99e199e_0
+  - python-dateutil=2.9.0post0=py312hca03da5_2
+  - python-fastjsonschema=2.20.0=py312hca03da5_0
+  - python-json-logger=2.0.7=py312hca03da5_0
+  - pytz=2024.1=py312hca03da5_0
+  - pyyaml=6.0.2=py312h80987f9_0
+  - pyzmq=25.1.2=py312h313beb8_0
+  - readline=8.2=h1a28f6b_0
+  - referencing=0.30.2=py312hca03da5_0
+  - requests=2.32.3=py312hca03da5_1
+  - rfc3339-validator=0.1.4=py312hca03da5_0
+  - rfc3986-validator=0.1.1=py312hca03da5_0
+  - rpds-py=0.10.6=py312h2aea54e_1
+  - send2trash=1.8.2=py312hca03da5_0
+  - setuptools=75.1.0=py312hca03da5_0
+  - six=1.16.0=pyhd3eb1b0_1
+  - sniffio=1.3.0=py312hca03da5_0
+  - soupsieve=2.5=py312hca03da5_0
+  - sqlite=3.45.3=h80987f9_0
+  - stack_data=0.2.0=pyhd3eb1b0_0
+  - terminado=0.17.1=py312hca03da5_0
+  - tinycss2=1.2.1=py312hca03da5_0
+  - tk=8.6.14=h6ba3021_0
+  - tornado=6.4.1=py312h80987f9_0
+  - traitlets=5.14.3=py312hca03da5_0
+  - typing-extensions=4.11.0=py312hca03da5_0
+  - typing_extensions=4.11.0=py312hca03da5_0
+  - tzdata=2024b=h04d1e81_0
+  - urllib3=2.2.3=py312hca03da5_0
+  - wcwidth=0.2.5=pyhd3eb1b0_0
+  - webencodings=0.5.1=py312hca03da5_2
+  - websocket-client=1.8.0=py312hca03da5_0
+  - wheel=0.44.0=py312hca03da5_0
+  - xz=5.4.6=h80987f9_1
+  - yaml=0.2.5=h1a28f6b_0
+  - zeromq=4.3.5=h313beb8_0
+  - zlib=1.2.13=h18a0788_1
+  - pip:
+      - contourpy==1.3.1
+      - cycler==0.12.1
+      - fonttools==4.55.3
+      - iniconfig==2.0.0
+      - kiwisolver==1.4.7
+      - matplotlib==3.9.3
+      - numpy==2.1.3
+      - pillow==11.0.0
+      - pluggy==1.5.0
+      - pyparsing==3.2.0
+      - pytest==8.3.4