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AGENTS.md

• Do not preserve backward compatibility. Remove obsolete paths instead of adding compatibility layers, fallbacks, or migrations.
• Choose the simplest implementation that fully meets the current requirements. Avoid speculative abstractions, configuration, and indirection.
• Grow the system in layers. Start from the smallest version that works end to end, and add each new capability on top of a product that already works. Never trade a working product for unfinished complexity.
• Keep components modular and concerns clearly separated.
• Prefer established, well-maintained libraries when they reduce overall complexity or improve reliability. Do not reimplement common functionality without a clear reason.
• Lean on the dependencies already in the project before writing your own implementation or adding packages. Do not assume a library lacks a capability without checking its documentation and types.
• Make architectural decisions for the long term. Do not accept a stopgap that only works for now an

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#!/usr/bin/env bash

if [ ! -x .git/hooks/commit-msg ] || [ ! -f .git/hooks/commit-msg ] || ! cmp ./hooks/commit-msg.sh .git/hooks/commit-msg
    then
    echo -e "\033[33m Setting Up Git commit Hook..."
    mkdir -p .git/hooks/
    cp ./hooks/commit-msg.sh .git/hooks/commit-msg
    chmod +x .git/hooks/commit-msg
    echo -e "\033[32m Done"
    echo -e "\033[33m You can make commit now."

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import os
import tarfile
import urllib.request
from datetime import datetime
import zipfile


data_dir = "./data/"
if not os.path.exists(data_dir):
    os.mkdir(data_dir)

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{"version":1,"resource":"file:///Users/smap/Project/seqal/seqal/stoppers/__init__.py","entries":[{"id":"F4pE.py","timestamp":1658194872996}]}

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import unicodedata
from typing import List
from pathlib import Path
from collections import defaultdict

from ahocorasick import Automaton


def read_dictionary(dict_path: str) -> dict:
  with open(dict_path, 'r', encoding='utf-8') as f:

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from typing import List, Dict, Sequence

class Matrics:
    def __init__(self, sents_true_labels: Sequence[Sequence[Dict]], sents_pred_labels:Sequence[Sequence[Dict]]):
        self.sents_true_labels = sents_true_labels
        self.sents_pred_labels = sents_pred_labels 
        self.types = set(entity['type'] for sent in sents_true_labels for entity in sent)
        self.confusion_matrices = {type: {'TP': 0, 'TN': 0, 'FP': 0, 'FN': 0} for type in self.types}
        self.scores = {type: {'p': 0, 'r': 0, 'f1': 0} for type in self.types}

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"""
pip install torch==1.4.0 torchvision==0.5.0 tensorboard==2.1.0

command:
  python tensorboard_epoch_demo.py
  tensorboard --logdir=runs    
"""

import torch
import torch.nn as nn

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import torch
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F

import torchvision
import torchvision.transforms as transforms
from torch.utils.tensorboard import SummaryWriter 

print(torch.__version__)

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import pandas as pd
import seaborn as sns

import matplotlib.pyplot as plt
%matplotlib inline

st = {2: 1478515,
        3: 449113,
        4: 646495,
        5: 166796,

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import requests

headers ={
      'Authorization': 'token <TOKEN>', # replace <TOKEN> with your token
    }

response = requests.get('https://api.github.com/users/<username>/received_events', headers=headers) # replace <username> with your user name
data = response.json()
event_actions = {'WatchEvent': 'starred', 'PushEvent': 'pushed to'}