Spaces:
Sleeping
Sleeping
Bor Hodošček
commited on
Commit
·
b0ccf42
1
Parent(s):
7fd756b
feat: up
Browse files
app.py
CHANGED
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@@ -15,17 +15,17 @@
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import marimo
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__generated_with = "0.
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app = marimo.App(width="full", app_title="Scattertext on Japanese novels")
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with app.setup:
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import marimo as mo
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-
import itertools
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import fugashi
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import pandas as pd
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import scipy
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import numpy as np
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import random
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import scattertext as st
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from sklearn.feature_extraction.text import CountVectorizer, TfidfVectorizer
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@@ -37,10 +37,13 @@ with app.setup:
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@app.cell
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def function_export():
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@mo.cache
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def
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"""
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-
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return [tagger.parse(txt).strip() for txt in texts]
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@mo.cache
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@@ -71,17 +74,23 @@ def function_export():
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chunk_size: int = 2000,
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) -> tuple[list[str], list[str], list[str]]:
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"""Chunk each text into segments of chunk_size tokens, preserving category and filename."""
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chunked_texts = []
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chunked_cats = []
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-
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for text, cat, fname in zip(texts, categories, filenames):
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tokens = text.split()
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for
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chunk = " ".join(tokens[
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chunked_texts.append(chunk)
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chunked_cats.append(cat)
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return chunked_texts, chunked_cats,
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@mo.cache
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def train_scikit_cached(
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@@ -98,15 +107,18 @@ def function_export():
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chunk_texts_out, chunk_cats, chunk_fnames = chunk_texts(
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texts, categories, filenames
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)
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tfv = TfidfVectorizer()
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X_tfidf = tfv.fit_transform(chunk_texts_out)
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y_codes = pd.Categorical(
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chunk_cats, categories=pd.Categorical(chunk_cats).categories
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).codes
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scikit_corpus = st.CorpusFromScikit(
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X=
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y=y_codes,
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feature_vocabulary=tfv.vocabulary_,
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category_names=list(pd.Categorical(chunk_cats).categories),
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@@ -210,6 +222,7 @@ def data_check(data_form, parse_texts):
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mo.stop(data_form.value is None)
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from pathlib import Path
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validation_messages: list[str] = []
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@@ -250,28 +263,17 @@ def data_check(data_form, parse_texts):
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category_b_texts = [unno_1, unno_2]
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category_b_names = ["Unno_J_Chikyuuyousa.txt", "Unno_J_Kaseiheidan.txt"]
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[data_form.value["label_b"]]
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* (
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len(data_form.value["files_b"])
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if data_form.value["files_b"]
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else 2
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)
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),
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"filename": itertools.chain(category_a_names, category_b_names),
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"text": itertools.chain(category_a_texts, category_b_texts),
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}
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)
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with mo.status.spinner("コーパスを形態素解析中..."):
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data["text"] = parse_texts(list(data["text"]))
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@@ -300,7 +302,7 @@ def data_check(data_form, parse_texts):
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@app.cell
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def sampling_controls_setup():
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chunk_size = mo.ui.slider(
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start=
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stop=50_000,
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value=2000,
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step=500,
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@@ -329,7 +331,7 @@ def _(build_corpus_cached, chunk_texts, data, sample_frac, sampling_form):
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mo.stop(sampling_form.value is None)
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with mo.status.spinner("コーパスをサンプリング中…"):
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-
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list(data.text),
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list(data.category),
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list(data.filename),
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@@ -337,18 +339,18 @@ def _(build_corpus_cached, chunk_texts, data, sample_frac, sampling_form):
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)
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if sample_frac.value < 1.0:
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N = len(
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k = int(N * sampling_form.value["sample_frac"])
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idx = random.sample(range(N), k)
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-
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cats = [cats[i] for i in idx]
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fnames = [fnames[i] for i in idx]
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corpus = build_corpus_cached(
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-
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cats,
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)
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return cats, corpus, fnames
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@app.cell
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@@ -423,13 +425,14 @@ def _(run_model):
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@app.cell
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def _(cats, fnames, run_model,
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mo.stop(not run_model.value)
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scikit_corpus, tfidf_X, vectorizer, chunk_cats, chunk_fnames = train_scikit_cached(
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-
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)
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-
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@app.cell
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@@ -485,14 +488,12 @@ def hyperparameters(model_dropdown):
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@app.cell
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def _(
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chunk_cats,
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label_a,
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label_b,
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model_dropdown,
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model_form,
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roc_auc,
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roc_df,
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run_model,
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tfidf_X,
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vectorizer,
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):
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mo.stop(not run_model.value or not model_form.value)
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@@ -501,20 +502,73 @@ def _(
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from sklearn.ensemble import GradientBoostingClassifier, RandomForestClassifier
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from sklearn.linear_model import LogisticRegression
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from sklearn.metrics import (
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auc,
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classification_report,
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confusion_matrix,
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roc_curve,
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)
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from sklearn.model_selection import train_test_split
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-
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chunk_cats,
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test_size=model_form.value["test_size"],
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random_state=RANDOM_SEED,
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)
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name = model_dropdown.value
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if name == "LogisticRegression":
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clf = LogisticRegression(
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mo.vstack(
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[
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mo.ui.altair_chart(imp_chart),
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mo.ui.altair_chart(cm_chart),
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# mo.ui.altair_chart(roc_chart), # Turned out to not be too informative as task is too easy?
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import marimo
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__generated_with = "0.14.10"
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app = marimo.App(width="full", app_title="Scattertext on Japanese novels")
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with app.setup:
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import marimo as mo
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import fugashi
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import pandas as pd
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import scipy
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import numpy as np
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import random
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import io
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import scattertext as st
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from sklearn.feature_extraction.text import CountVectorizer, TfidfVectorizer
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@app.cell
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def function_export():
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@mo.cache
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def get_tagger() -> fugashi.Tagger:
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"""Load and cache a single fugashi Tagger instance."""
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return fugashi.Tagger("-Owakati -d ./unidic-novel -r ./unidic-novel/dicrc")
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@mo.cache
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def parse_texts(texts: list[str], tagger=get_tagger()) -> list[str]:
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"""Tokenize a list of raw strings via fugashi (MeCab)."""
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return [tagger.parse(txt).strip() for txt in texts]
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@mo.cache
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chunk_size: int = 2000,
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) -> tuple[list[str], list[str], list[str]]:
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"""Chunk each text into segments of chunk_size tokens, preserving category and filename."""
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from pathlib import Path
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def format_chunk_label(fname: str, category: str, idx: int) -> str:
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stem = Path(fname).stem
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return f"{stem}-{category}#{idx}"
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chunked_texts = []
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chunked_cats = []
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chunked_labels = []
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for text, cat, fname in zip(texts, categories, filenames):
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tokens = text.split()
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for block_idx, start in enumerate(range(0, len(tokens), chunk_size), start=1):
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chunk = " ".join(tokens[start : start + chunk_size])
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chunked_texts.append(chunk)
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chunked_cats.append(cat)
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chunked_labels.append(format_chunk_label(fname, cat, block_idx))
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return chunked_texts, chunked_cats, chunked_labels
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@mo.cache
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def train_scikit_cached(
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chunk_texts_out, chunk_cats, chunk_fnames = chunk_texts(
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texts, categories, filenames
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)
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# fit TF-IDF once
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tfv = TfidfVectorizer()
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X_tfidf = tfv.fit_transform(chunk_texts_out)
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# reuse the same vocabulary for raw counts
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cv = CountVectorizer(vocabulary=tfv.vocabulary_)
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X_count = cv.transform(chunk_texts_out)
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y_codes = pd.Categorical(
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chunk_cats, categories=pd.Categorical(chunk_cats).categories
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).codes
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scikit_corpus = st.CorpusFromScikit(
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X=X_count,
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y=y_codes,
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feature_vocabulary=tfv.vocabulary_,
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category_names=list(pd.Categorical(chunk_cats).categories),
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mo.stop(data_form.value is None)
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from pathlib import Path
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import itertools
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validation_messages: list[str] = []
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category_b_texts = [unno_1, unno_2]
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category_b_names = ["Unno_J_Chikyuuyousa.txt", "Unno_J_Kaseiheidan.txt"]
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nA = len(data_form.value["files_a"]) or 2
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nB = len(data_form.value["files_b"]) or 2
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categories = [data_form.value["label_a"]] * nA + [data_form.value["label_b"]] * nB
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filenames = itertools.chain(category_a_names, category_b_names)
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texts = itertools.chain(category_a_texts, category_b_texts)
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data = pd.DataFrame({
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"category": categories,
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"filename": filenames,
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"text": texts,
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})
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with mo.status.spinner("コーパスを形態素解析中..."):
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data["text"] = parse_texts(list(data["text"]))
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@app.cell
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def sampling_controls_setup():
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chunk_size = mo.ui.slider(
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start=50,
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stop=50_000,
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value=2000,
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step=500,
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mo.stop(sampling_form.value is None)
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with mo.status.spinner("コーパスをサンプリング中…"):
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chunked_texts, cats, fnames = chunk_texts(
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list(data.text),
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list(data.category),
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list(data.filename),
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)
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if sample_frac.value < 1.0:
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N = len(chunked_texts)
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k = int(N * sampling_form.value["sample_frac"])
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idx = random.sample(range(N), k)
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chunked_texts = [chunked_texts[i] for i in idx]
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cats = [cats[i] for i in idx]
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fnames = [fnames[i] for i in idx]
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corpus = build_corpus_cached(
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chunked_texts,
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cats,
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)
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return cats, chunked_texts, corpus, fnames
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@app.cell
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@app.cell
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def _(cats, chunked_texts, fnames, run_model, train_scikit_cached):
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mo.stop(not run_model.value)
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scikit_corpus, tfidf_X, vectorizer, chunk_cats, chunk_fnames = train_scikit_cached(
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chunked_texts, cats, fnames
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)
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# also send the raw text chunks onward for download
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return chunk_cats, chunk_fnames, scikit_corpus, vectorizer
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@app.cell
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@app.cell
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def _(
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chunk_cats,
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chunked_texts,
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label_a,
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label_b,
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model_dropdown,
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model_form,
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run_model,
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vectorizer,
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):
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mo.stop(not run_model.value or not model_form.value)
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from sklearn.ensemble import GradientBoostingClassifier, RandomForestClassifier
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from sklearn.linear_model import LogisticRegression
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from sklearn.metrics import (
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classification_report,
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confusion_matrix,
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)
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from sklearn.model_selection import train_test_split
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# split the raw text chunks and labels
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texts_train, texts_test, y_train, y_test = train_test_split(
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chunked_texts,
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chunk_cats,
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test_size=model_form.value["test_size"],
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random_state=RANDOM_SEED,
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)
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+
# still need feature‐matrices for training the classifier
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X_train = vectorizer.transform(texts_train)
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X_test = vectorizer.transform(texts_test)
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def get_train_data():
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df = pd.DataFrame({
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"text": texts_train,
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"label": y_train,
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})
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print(df)
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buf = io.BytesIO()
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df.to_csv(buf, index=False)
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return buf.getvalue()
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download_training_dataset = mo.download(
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data=get_train_data,
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filename="train.csv",
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mimetype="text/csv",
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label="Download training data",
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)
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def get_test_data():
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df = pd.DataFrame({
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"text": texts_test,
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"label": y_test,
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})
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buf = io.BytesIO()
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df.to_csv(buf, index=False)
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return buf.getvalue()
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+
|
| 548 |
+
download_test_dataset = mo.download(
|
| 549 |
+
data=get_test_data,
|
| 550 |
+
filename="test.csv",
|
| 551 |
+
mimetype="text/csv",
|
| 552 |
+
label="Download test data",
|
| 553 |
+
)
|
| 554 |
+
|
| 555 |
+
def get_all_data():
|
| 556 |
+
# concatenate train and test text+labels
|
| 557 |
+
df_all = pd.DataFrame({
|
| 558 |
+
"text": texts_train + texts_test,
|
| 559 |
+
"label": list(y_train) + list(y_test),
|
| 560 |
+
})
|
| 561 |
+
buf = io.BytesIO()
|
| 562 |
+
df_all.to_csv(buf, index=False)
|
| 563 |
+
return buf.getvalue()
|
| 564 |
+
|
| 565 |
+
download_all_dataset = mo.download(
|
| 566 |
+
data=get_all_data,
|
| 567 |
+
filename="all_data.csv",
|
| 568 |
+
mimetype="text/csv",
|
| 569 |
+
label="Download full dataset",
|
| 570 |
+
)
|
| 571 |
+
|
| 572 |
name = model_dropdown.value
|
| 573 |
if name == "LogisticRegression":
|
| 574 |
clf = LogisticRegression(
|
|
|
|
| 663 |
|
| 664 |
mo.vstack(
|
| 665 |
[
|
| 666 |
+
mo.hstack(
|
| 667 |
+
[download_training_dataset, download_test_dataset, download_all_dataset],
|
| 668 |
+
align="start",
|
| 669 |
+
),
|
| 670 |
mo.ui.altair_chart(imp_chart),
|
| 671 |
mo.ui.altair_chart(cm_chart),
|
| 672 |
# mo.ui.altair_chart(roc_chart), # Turned out to not be too informative as task is too easy?
|
uv.lock
CHANGED
|
@@ -90,11 +90,11 @@ wheels = [
|
|
| 90 |
|
| 91 |
[[package]]
|
| 92 |
name = "certifi"
|
| 93 |
-
version = "2025.
|
| 94 |
source = { registry = "https://pypi.org/simple" }
|
| 95 |
-
sdist = { url = "https://files.pythonhosted.org/packages/
|
| 96 |
wheels = [
|
| 97 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 98 |
]
|
| 99 |
|
| 100 |
[[package]]
|
|
@@ -356,51 +356,51 @@ wheels = [
|
|
| 356 |
|
| 357 |
[[package]]
|
| 358 |
name = "loro"
|
| 359 |
-
version = "1.5.
|
| 360 |
-
source = { registry = "https://pypi.org/simple" }
|
| 361 |
-
sdist = { url = "https://files.pythonhosted.org/packages/
|
| 362 |
-
wheels = [
|
| 363 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 364 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 365 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 366 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 367 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 368 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 369 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 370 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 371 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 372 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 373 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 374 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 375 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 376 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 377 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 378 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 379 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 380 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 381 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 382 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 383 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 384 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 385 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 386 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 387 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 388 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 389 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 390 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 391 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 392 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 393 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 394 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 395 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 396 |
-
{ url = "https://files.pythonhosted.org/packages/4b/
|
| 397 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 398 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 399 |
]
|
| 400 |
|
| 401 |
[[package]]
|
| 402 |
name = "marimo"
|
| 403 |
-
version = "0.
|
| 404 |
source = { registry = "https://pypi.org/simple" }
|
| 405 |
dependencies = [
|
| 406 |
{ name = "click" },
|
|
@@ -420,9 +420,9 @@ dependencies = [
|
|
| 420 |
{ name = "uvicorn" },
|
| 421 |
{ name = "websockets" },
|
| 422 |
]
|
| 423 |
-
sdist = { url = "https://files.pythonhosted.org/packages/
|
| 424 |
wheels = [
|
| 425 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 426 |
]
|
| 427 |
|
| 428 |
[[package]]
|
|
@@ -460,11 +460,11 @@ wheels = [
|
|
| 460 |
|
| 461 |
[[package]]
|
| 462 |
name = "markdown"
|
| 463 |
-
version = "3.8"
|
| 464 |
source = { registry = "https://pypi.org/simple" }
|
| 465 |
-
sdist = { url = "https://files.pythonhosted.org/packages/
|
| 466 |
wheels = [
|
| 467 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 468 |
]
|
| 469 |
|
| 470 |
[[package]]
|
|
@@ -550,11 +550,11 @@ wheels = [
|
|
| 550 |
|
| 551 |
[[package]]
|
| 552 |
name = "narwhals"
|
| 553 |
-
version = "1.
|
| 554 |
source = { registry = "https://pypi.org/simple" }
|
| 555 |
-
sdist = { url = "https://files.pythonhosted.org/packages/
|
| 556 |
wheels = [
|
| 557 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 558 |
]
|
| 559 |
|
| 560 |
[[package]]
|
|
@@ -606,7 +606,7 @@ wheels = [
|
|
| 606 |
|
| 607 |
[[package]]
|
| 608 |
name = "pandas"
|
| 609 |
-
version = "2.3.
|
| 610 |
source = { registry = "https://pypi.org/simple" }
|
| 611 |
dependencies = [
|
| 612 |
{ name = "numpy" },
|
|
@@ -614,28 +614,28 @@ dependencies = [
|
|
| 614 |
{ name = "pytz" },
|
| 615 |
{ name = "tzdata" },
|
| 616 |
]
|
| 617 |
-
sdist = { url = "https://files.pythonhosted.org/packages/
|
| 618 |
-
wheels = [
|
| 619 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 620 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 621 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 622 |
-
{ url = "https://files.pythonhosted.org/packages/01/
|
| 623 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 624 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 625 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 626 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 627 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 628 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 629 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 630 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 631 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 632 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 633 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 634 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 635 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 636 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 637 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 638 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 639 |
]
|
| 640 |
|
| 641 |
[[package]]
|
|
@@ -794,24 +794,24 @@ wheels = [
|
|
| 794 |
|
| 795 |
[[package]]
|
| 796 |
name = "pygments"
|
| 797 |
-
version = "2.19.
|
| 798 |
source = { registry = "https://pypi.org/simple" }
|
| 799 |
-
sdist = { url = "https://files.pythonhosted.org/packages/
|
| 800 |
wheels = [
|
| 801 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 802 |
]
|
| 803 |
|
| 804 |
[[package]]
|
| 805 |
name = "pymdown-extensions"
|
| 806 |
-
version = "10.
|
| 807 |
source = { registry = "https://pypi.org/simple" }
|
| 808 |
dependencies = [
|
| 809 |
{ name = "markdown" },
|
| 810 |
{ name = "pyyaml" },
|
| 811 |
]
|
| 812 |
-
sdist = { url = "https://files.pythonhosted.org/packages/
|
| 813 |
wheels = [
|
| 814 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 815 |
]
|
| 816 |
|
| 817 |
[[package]]
|
|
@@ -905,51 +905,78 @@ wheels = [
|
|
| 905 |
|
| 906 |
[[package]]
|
| 907 |
name = "rpds-py"
|
| 908 |
-
version = "0.
|
| 909 |
-
source = { registry = "https://pypi.org/simple" }
|
| 910 |
-
sdist = { url = "https://files.pythonhosted.org/packages/
|
| 911 |
-
wheels = [
|
| 912 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 913 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 914 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 915 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 916 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 917 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 918 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 919 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 920 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 921 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 922 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 923 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 924 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 925 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 926 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 927 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 928 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 929 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 930 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 931 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 932 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 933 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 934 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 935 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 936 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 937 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 938 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 939 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 940 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 941 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 942 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 943 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 944 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 945 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 946 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 947 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 948 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 949 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 950 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 951 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 952 |
-
{ url = "https://files.pythonhosted.org/packages/
|
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|
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|
| 953 |
]
|
| 954 |
|
| 955 |
[[package]]
|
|
@@ -1075,14 +1102,14 @@ wheels = [
|
|
| 1075 |
|
| 1076 |
[[package]]
|
| 1077 |
name = "smart-open"
|
| 1078 |
-
version = "7.
|
| 1079 |
source = { registry = "https://pypi.org/simple" }
|
| 1080 |
dependencies = [
|
| 1081 |
{ name = "wrapt" },
|
| 1082 |
]
|
| 1083 |
-
sdist = { url = "https://files.pythonhosted.org/packages/
|
| 1084 |
wheels = [
|
| 1085 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 1086 |
]
|
| 1087 |
|
| 1088 |
[[package]]
|
|
@@ -1182,19 +1209,20 @@ wheels = [
|
|
| 1182 |
|
| 1183 |
[[package]]
|
| 1184 |
name = "starlette"
|
| 1185 |
-
version = "0.47.
|
| 1186 |
source = { registry = "https://pypi.org/simple" }
|
| 1187 |
dependencies = [
|
| 1188 |
{ name = "anyio" },
|
|
|
|
| 1189 |
]
|
| 1190 |
-
sdist = { url = "https://files.pythonhosted.org/packages/
|
| 1191 |
wheels = [
|
| 1192 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 1193 |
]
|
| 1194 |
|
| 1195 |
[[package]]
|
| 1196 |
name = "statsmodels"
|
| 1197 |
-
version = "0.14.
|
| 1198 |
source = { registry = "https://pypi.org/simple" }
|
| 1199 |
dependencies = [
|
| 1200 |
{ name = "numpy" },
|
|
@@ -1203,20 +1231,20 @@ dependencies = [
|
|
| 1203 |
{ name = "patsy" },
|
| 1204 |
{ name = "scipy" },
|
| 1205 |
]
|
| 1206 |
-
sdist = { url = "https://files.pythonhosted.org/packages/
|
| 1207 |
wheels = [
|
| 1208 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 1209 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 1210 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 1211 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 1212 |
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{ url = "https://files.pythonhosted.org/packages/
|
| 1213 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 1214 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 1215 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 1216 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 1217 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 1218 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 1219 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 1220 |
]
|
| 1221 |
|
| 1222 |
[[package]]
|
|
@@ -1302,11 +1330,11 @@ wheels = [
|
|
| 1302 |
|
| 1303 |
[[package]]
|
| 1304 |
name = "typing-extensions"
|
| 1305 |
-
version = "4.14.
|
| 1306 |
source = { registry = "https://pypi.org/simple" }
|
| 1307 |
-
sdist = { url = "https://files.pythonhosted.org/packages/
|
| 1308 |
wheels = [
|
| 1309 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 1310 |
]
|
| 1311 |
|
| 1312 |
[[package]]
|
|
@@ -1332,24 +1360,24 @@ wheels = [
|
|
| 1332 |
|
| 1333 |
[[package]]
|
| 1334 |
name = "urllib3"
|
| 1335 |
-
version = "2.
|
| 1336 |
source = { registry = "https://pypi.org/simple" }
|
| 1337 |
-
sdist = { url = "https://files.pythonhosted.org/packages/
|
| 1338 |
wheels = [
|
| 1339 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 1340 |
]
|
| 1341 |
|
| 1342 |
[[package]]
|
| 1343 |
name = "uvicorn"
|
| 1344 |
-
version = "0.
|
| 1345 |
source = { registry = "https://pypi.org/simple" }
|
| 1346 |
dependencies = [
|
| 1347 |
{ name = "click" },
|
| 1348 |
{ name = "h11" },
|
| 1349 |
]
|
| 1350 |
-
sdist = { url = "https://files.pythonhosted.org/packages/
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| 1351 |
wheels = [
|
| 1352 |
-
{ url = "https://files.pythonhosted.org/packages/
|
| 1353 |
]
|
| 1354 |
|
| 1355 |
[[package]]
|
|
|
|
| 90 |
|
| 91 |
[[package]]
|
| 92 |
name = "certifi"
|
| 93 |
+
version = "2025.7.14"
|
| 94 |
source = { registry = "https://pypi.org/simple" }
|
| 95 |
+
sdist = { url = "https://files.pythonhosted.org/packages/b3/76/52c535bcebe74590f296d6c77c86dabf761c41980e1347a2422e4aa2ae41/certifi-2025.7.14.tar.gz", hash = "sha256:8ea99dbdfaaf2ba2f9bac77b9249ef62ec5218e7c2b2e903378ed5fccf765995", size = 163981, upload-time = "2025-07-14T03:29:28.449Z" }
|
| 96 |
wheels = [
|
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