Refactor (#8)

Co-authored-by: Donovan <donovan.a.kelly@pm.me>
Reviewed-on: https://git.infra.nkode.tech/dkelly/evilnkode/pulls/8

README.md

@@ -1,36 +1,90 @@
-# Evil nKode
+# Evilnkode Project
 
-Simulated nKode Cracker
+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.
 
-## Installation
+## Prerequisites
 
-- Python version 3.10 or greater is required
+- **Conda**: Ensure you have Conda installed (Miniconda or Anaconda). Download from [conda.io](https://conda.io).
-- Install anaconda (or your preferred tool for environment management)
 
-### Using conda
+## 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:
      ```bash
-conda env create -f environment.yml
+     conda env create -f environment.yaml
-conda activate pynkode
+     ```
+   - This will install all dependencies specified in `environment.yaml`.
+
+## Activating the Environment
+
+To activate the `evilnkode` environment, run:
+
+```bash
+conda activate evilnkode
 ```
 
-## Starting a 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 1: Using classic Jupyter Notebook
 ```bash
-# Ensure your environment is activated
+python -m cli.visualnkode
-# For conda: conda activate pynkode
-# For pyenv: (should be automatic if in the directory)
-
-# Start the Jupyter Notebook server
-jupyter notebook
 ```
 
-### Option 2: Using JupyterLab
+- This command runs the `visualnkode` module from the `cli` package.
+- To view available options and arguments, use the `-help` flag:
   ```bash
-# Ensure your environment is activated
+  python -m cli.visualnkode -help
-# Start JupyterLab
-jupyter lab
   ```
 
-## Notebooks
+### Running `cli.benchmark_histogram`
-- [evilnkode](notebooks/evilkode.ipynb)
+
+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.

cli/benchmark_histogram.py

@@ -0,0 +1,115 @@
+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()

cli/visualnkode.py

@@ -1,46 +1,41 @@
 import json
+from typing import Iterable
 from dataclasses import dataclass, asdict
-from evilkode import Observation
+from src.evilnkode import Observation
-from utils import observations, passcode_generator, ShuffleTypes
+from src.utils import observations, passcode_generator
 from pathlib import Path
 from PIL import Image, ImageDraw, ImageFont
-from typing import Iterable
+from src.keypad.keypad import (
+    BaseKeypad,
+    SlidingSplitShuffleKeypad,
+    SlidingTowerShuffleKeypad,
+    RandomShuffleKeypad,
+    RandomSplitShuffleKeypad,
+)
+import argparse
 
-# Project root = parent of *this* file's directory
-PROJECT_ROOT = Path(__file__).resolve().parent.parent
-BASE_DIR = PROJECT_ROOT / "example"
-PNG_DIR = PROJECT_ROOT / "example" / "obs_png"
 
 @dataclass
 class ObservationSequence:
     target_passcode: list[int]
     observations: list[Observation]
 
+
 def new_observation_sequence(
-        number_of_keys: int,
+        keypad: BaseKeypad,
-        properties_per_key: int,
         passcode_len: int,
         complexity: int,
         disparity: int,
         numb_runs: int,
-        shuffle_type: ShuffleTypes
 ) -> ObservationSequence:
-    passcode = passcode_generator(number_of_keys, properties_per_key, passcode_len, complexity, disparity)
+    passcode = passcode_generator(keypad.k, keypad.p, passcode_len, complexity, disparity)
-    obs_seq = ObservationSequence(target_passcode=passcode, observations=[])
     obs_gen = observations(
+        keypad=keypad,
         target_passcode=passcode,
-        number_of_keys=number_of_keys,
-        properties_per_key=properties_per_key,
-        min_complexity=complexity,
-        min_disparity=disparity,
-        shuffle_type=shuffle_type,
         number_of_observations=numb_runs,
     )
-    for obs in obs_gen:
+    return ObservationSequence(target_passcode=passcode, observations=[obs for obs in obs_gen])
-        obs.keypad = obs.keypad.tolist()
-        obs_seq.observations.append(obs)
 
-    return obs_seq
 
 def _next_json_filename(base_dir: Path) -> Path:
     """Find the next available observation_X.json file in base_dir."""
@@ -51,22 +46,15 @@ def _next_json_filename(base_dir: Path) -> Path:
             return candidate
         counter += 1
 
-def save_observation_sequence_to_json(seq: ObservationSequence, shuffle_type: ShuffleTypes, filename: Path | None = None) -> None:
+
-    """
+def save_observation_sequence_to_json(seq: ObservationSequence,
-    Save ObservationSequence to JSON.
+                                      filename: Path) -> None:
-    - If filename is None, put it under PROJECT_ROOT/output/obs_json/ as observation_{n}.json
-    - Creates directory if needed
-    """
-    if filename is None:
-        base_dir = BASE_DIR / shuffle_type.name / "obs_json"
-        base_dir.mkdir(parents=True, exist_ok=True)
-        filename = _next_json_filename(base_dir)
-    else:
     filename.parent.mkdir(parents=True, exist_ok=True)
 
     with filename.open("w", encoding="utf-8") as f:
         json.dump(asdict(seq), f, indent=4)
 
+
 # ---------- Helpers ----------
 def _load_font(preferred: str, size: int) -> ImageFont.FreeTypeFont | ImageFont.ImageFont:
     """Try a preferred TTF, fall back to common monospace, then PIL default."""
@@ -84,14 +72,17 @@ def _load_font(preferred: str, size: int) -> ImageFont.FreeTypeFont | ImageFont.
             continue
     return ImageFont.load_default()
 
+
 def _text_size(draw: ImageDraw.ImageDraw, text: str, font: ImageFont.ImageFont) -> tuple[int, int]:
     """Get (w, h) using font bbox for accurate layout."""
     left, top, right, bottom = draw.textbbox((0, 0), text, font=font)
-    return right - left, bottom - top
+    return int(right - left), int(bottom - top)
+
 
 def _join_nums(nums: Iterable[int]) -> str:
     return " ".join(str(n) for n in nums)
 
+
 def _next_available_path(path: Path) -> Path:
     """If path exists, append _1, _2, ..."""
     if not path.exists():
@@ -104,6 +95,7 @@ def _next_available_path(path: Path) -> Path:
             return candidate
         i += 1
 
+
 # ---------- Core rendering ----------
 def render_observation_to_png(
         target_passcode: list[int],
@@ -214,6 +206,7 @@ def render_observation_to_png(
 
     img.save(out_path, format="PNG")
 
+
 def _next_run_dir(base_dir: Path) -> Path:
     """Find the next available run directory under base_dir (run_001, run_002, ...)."""
     counter = 1
@@ -224,22 +217,37 @@ def _next_run_dir(base_dir: Path) -> Path:
             return run_dir
         counter += 1
 
-def render_sequence_to_pngs(seq: ObservationSequence, shuffle_type: ShuffleTypes, out_dir: Path | None = None) -> None:
-    """
-    Render each observation to its own PNG inside a fresh run directory.
-    Default: PROJECT_ROOT/output/obs_png/run_XXX/observation_001.png
-    """
-    base_dir = BASE_DIR / shuffle_type.name / "obs_png"  if out_dir is None else out_dir
-    base_dir.mkdir(parents=True, exist_ok=True)
-
-    # Create a fresh run dir
-    run_dir = _next_run_dir(base_dir)
 
+def render_sequence_to_pngs(seq: ObservationSequence, out_dir: Path) -> None:
+    out_dir.mkdir(parents=True, exist_ok=True)
+    run_dir = _next_run_dir(out_dir)
     for i, obs in enumerate(seq.observations, start=1):
         filename = run_dir / f"observation_{i:03d}.png"
         render_observation_to_png(seq.target_passcode, obs, filename)
+
+
 if __name__ == "__main__":
-    shuffle_type = ShuffleTypes.TOWER_SHUFFLE
+    shuffle_classes = {
-    obs_seq = new_observation_sequence(6, 9,4,0,0 ,numb_runs=50, shuffle_type=shuffle_type)
+        'RandomSplitShuffle': RandomSplitShuffleKeypad,
-    save_observation_sequence_to_json(obs_seq, shuffle_type)
+        'RandomShuffle': RandomShuffleKeypad,
-    render_sequence_to_pngs(obs_seq, shuffle_type)
+        'SlidingSplitShuffle': SlidingSplitShuffleKeypad,
+        'SlidingTowerShuffle': SlidingTowerShuffleKeypad
+    }
+    parser = argparse.ArgumentParser(description="Generate and save observation sequences with optional PNG rendering.")
+    parser.add_argument("--number-of-keys", type=int, default=6, help="Number of keys in the keypad (default: 6)")
+    parser.add_argument("--properties-per-key", type=int, default=9, help="Properties per key (default: 9)")
+    parser.add_argument("--passcode-length", type=int, default=4, help="Length of the passcode (default: 4)")
+    parser.add_argument("--complexity", type=int, default=0, help="Complexity of the passcode (default: 0)")
+    parser.add_argument("--disparity", type=int, default=0, help="Disparity of the passcode (default: 0)")
+    parser.add_argument("--num-runs", type=int, default=50, help="Number of observations to generate (default: 50)")
+    parser.add_argument("--shuffle-type", type=str, default="SlidingTowerShuffle", choices=list(shuffle_classes.keys()),
+                        help="Keypad shuffle type: 'RandomShuffle' or 'SlidingTowerShuffle' (default: SlidingTowerShuffle)")
+    parser.add_argument("--output-dir", type=str, default="./output",
+                        help="Custom output directory for JSON and PNG files")
+    args = parser.parse_args()
+    keypad = shuffle_classes[args.shuffle_type].new_keypad(6, 9)
+    obs_seq = new_observation_sequence(keypad, 4, 0, 0, numb_runs=50)
+    shuffle_type = str(type(keypad)).lower().split('.')[-1].replace("'>", "")
+    output_dir = Path(args.output_dir)
+    save_observation_sequence_to_json(obs_seq, output_dir / "obs.json")
+    render_sequence_to_pngs(obs_seq, output_dir / "obs_png")

environment.yaml

@@ -0,0 +1,544 @@
+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
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+  - send2trash=1.8.2=py312hca03da5_0
+  - service_identity=18.1.0=pyhd3eb1b0_1
+  - setuptools=75.1.0=py312hca03da5_0
+  - shellingham=1.5.0=py312hca03da5_0
+  - sip=6.7.12=py312h313beb8_0
+  - six=1.16.0=pyhd3eb1b0_1
+  - smart_open=5.2.1=py312hca03da5_0
+  - smmap=4.0.0=pyhd3eb1b0_0
+  - snappy=1.2.1=h313beb8_0
+  - sniffio=1.3.0=py312hca03da5_0
+  - snowballstemmer=2.2.0=pyhd3eb1b0_0
+  - sortedcontainers=2.4.0=pyhd3eb1b0_0
+  - soupsieve=2.5=py312hca03da5_0
+  - sphinx=7.3.7=py312hca03da5_0
+  - sphinxcontrib-applehelp=1.0.2=pyhd3eb1b0_0
+  - sphinxcontrib-devhelp=1.0.2=pyhd3eb1b0_0
+  - sphinxcontrib-htmlhelp=2.0.0=pyhd3eb1b0_0
+  - sphinxcontrib-jsmath=1.0.1=pyhd3eb1b0_0
+  - sphinxcontrib-qthelp=1.0.3=pyhd3eb1b0_0
+  - sphinxcontrib-serializinghtml=1.1.10=py312hca03da5_0
+  - spyder=6.0.1=py312hca03da5_0
+  - spyder-kernels=3.0.0=py312h989b03a_0
+  - sqlalchemy=2.0.34=py312hbe2cdee_0
+  - sqlite=3.45.3=h80987f9_0
+  - stack_data=0.2.0=pyhd3eb1b0_0
+  - statsmodels=0.14.2=py312ha86b861_0
+  - streamlit=1.40.1=py312hca03da5_0
+  - superqt=0.6.7=py312h989b03a_0
+  - sympy=1.13.2=py312hca03da5_0
+  - tabulate=0.9.0=py312hca03da5_0
+  - tapi=1100.0.11=h8754e6a_1
+  - tbb=2021.8.0=h48ca7d4_0
+  - tblib=1.7.0=pyhd3eb1b0_0
+  - tenacity=9.0.0=py312hca03da5_0
+  - terminado=0.17.1=py312hca03da5_0
+  - text-unidecode=1.3=pyhd3eb1b0_0
+  - textdistance=4.6.3=py312h989b03a_0
+  - threadpoolctl=3.5.0=py312h989b03a_0
+  - three-merge=0.1.1=pyhd3eb1b0_0
+  - tifffile=2023.4.12=py312hca03da5_0
+  - tinycss2=1.2.1=py312hca03da5_0
+  - tk=8.6.14=h6ba3021_0
+  - tldextract=5.1.2=py312hca03da5_0
+  - tokenizers=0.20.1=py312he2d9c3e_1
+  - toml=0.10.2=pyhd3eb1b0_0
+  - tomli=2.0.1=py312hca03da5_1
+  - tomlkit=0.13.2=py312hca03da5_0
+  - toolz=0.12.0=py312hca03da5_0
+  - tornado=6.4.1=py312h80987f9_0
+  - tqdm=4.66.5=py312h989b03a_0
+  - traitlets=5.14.3=py312hca03da5_0
+  - transformers=4.45.2=py312hca03da5_0
+  - truststore=0.8.0=py312hca03da5_0
+  - twisted=23.10.0=py312hca03da5_0
+  - typer=0.9.0=py312hca03da5_0
+  - typing-extensions=4.11.0=py312hca03da5_0
+  - typing_extensions=4.11.0=py312hca03da5_0
+  - tzdata=2024b=h04d1e81_0
+  - uc-micro-py=1.0.1=py312hca03da5_0
+  - ujson=5.10.0=py312h313beb8_0
+  - unicodedata2=15.1.0=py312h80987f9_0
+  - unidecode=1.3.8=py312hca03da5_0
+  - unixodbc=2.3.11=h1a28f6b_0
+  - urllib3=2.2.3=py312hca03da5_0
+  - utf8proc=2.6.1=h80987f9_1
+  - w3lib=2.1.2=py312hca03da5_0
+  - watchdog=4.0.1=py312h80987f9_0
+  - wcwidth=0.2.5=pyhd3eb1b0_0
+  - webencodings=0.5.1=py312hca03da5_2
+  - websocket-client=1.8.0=py312hca03da5_0
+  - werkzeug=3.0.6=py312hca03da5_0
+  - whatthepatch=1.0.2=py312hca03da5_0
+  - wheel=0.44.0=py312hca03da5_0
+  - widgetsnbextension=3.6.6=py312hca03da5_0
+  - wrapt=1.14.1=py312h80987f9_0
+  - wurlitzer=3.0.2=py312hca03da5_0
+  - xarray=2023.6.0=py312hca03da5_0
+  - xlwings=0.32.1=py312hca03da5_0
+  - xxhash=0.8.0=h1a28f6b_3
+  - xyzservices=2022.9.0=py312hca03da5_1
+  - xz=5.4.6=h80987f9_1
+  - yaml=0.2.5=h1a28f6b_0
+  - yaml-cpp=0.8.0=h313beb8_1
+  - yapf=0.40.2=py312hca03da5_0
+  - yarl=1.18.0=py312h80987f9_0
+  - zeromq=4.3.5=h313beb8_0
+  - zfp=1.0.0=h313beb8_0
+  - zict=3.0.0=py312hca03da5_0
+  - 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

@@ -1,125 +0,0 @@
-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