GLM 4.5V review: a solid all-rounder

```python
import re


def parse_ini(text: str) -> dict[str, dict[str, str]]:
    """
    Parse INI-formatted text according to the specified dialect rules.
    
    Returns a dictionary mapping section names to dictionaries of key-value pairs.
    The DEFAULT section is not included in the result but its values are inherited.
    """
    sections: dict[str, dict[str, str]] = {}
    current_section: str | None = None
    current_key: str | None = None

    for line in text.split('
'):
        left_stripped = line.lstrip()

        # Rule 3: Ignore empty lines and comment lines (; or # as first non-space char)
        if not left_stripped or left_stripped[0] in (';', '#'):
            current_key = None
            continue

        # Rule 1: Section headers [name] with optional surrounding whitespace
        sec_match = re.match(r'\s*\[\s*(.*?)\s*\]\s*$', line)
        if sec_match:
            section_name = sec_match.group(1)
            current_section = '__DEFAULT__' if section_name == 'DEFAULT' else section_name
            sections.setdefault(current_section, {})
            current_key = None
            continue

        # Rule 10: Key-value pair before any section header is an error
        if current_section is None:
            raise ValueError("Key-value pair encountered before any section header")

        # Rule 6: Continuation line (starts with whitespace, follows a key line)
        if line and line[0].isspace() and current_key is not None:
            sections[current_section][current_key] += '
' + line.strip()
            continue

        # Rule 2: Parse key = value or key : value (split on first = or :)
        eq_pos = line.find('=')
        colon_pos = line.find(':')

        if eq_pos == -1 and colon_pos == -1:
            raise ValueError(f"Malformed line (no '=' or ':' found): {line!r}")

        if eq_pos == -1:
            split_at = colon_pos
        elif colon_pos == -1:
            split_at = eq_pos
        else:
            split_at = min(eq_pos, colon_pos)

        key = line[:split_at].strip().lower()
        if not key:
            raise ValueError(f"Malformed line (empty key): {line!r}")

        raw_value = line[split_at + 1:]
        value = _parse_value(raw_value)

        # Rule 7: Later values overwrite earlier ones
        sections[current_section][key] = value
        current_key = key

    # Rule 8: Handle DEFAULT section inheritance
    default_keys = sections.pop('__DEFAULT__', {})

    result: dict[str, dict[str, str]] = {}
    for section_name, section_data in sections.items():
        merged = dict(default_keys)
        merged.update(section_data)
        result[section_name] = merged

    # Rule 9: Perform interpolation
    final_result: dict[str, dict[str, str]] = {}
    for section_name, section_data in result.items():
        final_result[section_name] = {}
        for key, value in section_data.items():
            final_result[section_name][key] = _interpolate(
                result, section_name, value, frozenset()
            )

    return final_result


def _parse_value(value_str: str) -> str:
    """
    Parse a value string handling quotes and inline comments.
    
    Rule 5: Double-quoted values keep contents exactly (quotes removed).
    Rule 4: Inline comments start at ' ;' or ' #' (not inside quotes).
    """
    value_str = value_str.lstrip()

    if not value_str:
        return ''

    # Rule 5: Quoted value - keep everything inside exactly
    if value_str[0] == '"':
        close_quote = value_str.find('"', 1)
        if close_quote == -1:
            return value_str[1:]
        return value_str[1:close_quote]

    # Rule 4: Unquoted value - look for inline comment (whitespace + ; or #)
    for i, ch in enumerate(value_str):
        if ch in (' ', '\t') and i + 1 < len(value_str) and value_str[i + 1] in (';', '#'):
            return value_str[:i].rstrip()

    return value_str.rstrip()


def _interpolate(
    sections: dict[str, dict[str, str]],
    current_section: str,
    value: str,
    visiting: frozenset
) -> str:
    """
    Recursively resolve ${...} interpolations.
    
    Rule 9: ${key} for same section, ${section:key} for cross-section.
    Raises KeyError for missing references, ValueError for cycles.
    """
    def replace_ref(match: re.Match) -> str:
        ref = match.group(1)

        if ':' in ref:
            target_section, target_key = ref.split(':', 1)
        else:
            target_section = current_section
            target_key = ref

        if target_section not in sections:
            raise KeyError(f"Referenced section '{target_section}' does not exist")
        if target_key not in sections[target_section]:
            raise KeyError(
                f"Referenced key '{target_key}' does not exist in section '{target_section}'"
            )

        ref_node = (target_section, target_key)
        if ref_node in visiting:
            raise ValueError(f"Circular interpolation reference detected: {ref_node}")

        return _interpolate(
            sections,
            target_section,
            sections[target_section][target_key],
            visiting | {ref_node}
        )

    return re.sub(r'\$\{([^}]+)\}', replace_ref, value)
```

```python
from collections import OrderedDict


class TTLCache:
    def __init__(self, capacity: int, ttl: float, clock):
        self.capacity = capacity
        self.ttl = ttl
        self.clock = clock
        self._cache = OrderedDict()  # key -> (value, expiry_time)
        self._hits = 0
        self._misses = 0
        self._evictions = 0
        self._expirations = 0

    def _purge_expired(self):
        """Remove all expired entries, incrementing expiration count."""
        now = self.clock()
        expired_keys = [
            k for k, (_, exp) in self._cache.items() if now >= exp
        ]
        for k in expired_keys:
            del self._cache[k]
            self._expirations += 1

    def put(self, key, value):
        if self.capacity == 0:
            return

        now = self.clock()

        if key in self._cache:
            # Replace existing: refresh expiry and move to most-recent end
            self._cache.move_to_end(key)
            self._cache[key] = (value, now + self.ttl)
        else:
            # New key: first drop any expired entries
            self._purge_expired()

            # If still at capacity, evict LRU (first item)
            if len(self._cache) >= self.capacity:
                lru_key = next(iter(self._cache))
                del self._cache[lru_key]
                self._evictions += 1

            # Insert the new entry at the most-recent end
            self._cache[key] = (value, now + self.ttl)

    def get(self, key, default=None):
        if self.capacity == 0:
            self._misses += 1
            return default

        if key not in self._cache:
            self._misses += 1
            return default

        value, expiry = self._cache[key]
        now = self.clock()

        if now >= expiry:
            # Entry has expired – remove and report as expiration + miss
            del self._cache[key]
            self._expirations += 1
            self._misses += 1
            return default

        # Cache hit – promote to most-recently-used
        self._cache.move_to_end(key)
        self._hits += 1
        return value

    def __len__(self):
        now = self.clock()
        return sum(1 for _, exp in self._cache.values() if now < exp)

    def stats(self):
        return {
            "hits": self._hits,
            "misses": self._misses,
            "evictions": self._evictions,
            "expirations": self._expirations,
        }
```

```python
import re

def parse_duration(s: str) -> int:
    """Convert a duration string to total seconds."""
    s = s.strip()
    if not s:
        raise ValueError("empty or blank duration string")

    pattern = re.compile(r'(\d+)\s*([hHmMsS])')
    matches = list(pattern.finditer(s))
    if not matches:
        raise ValueError("no valid duration parts found")

    total = 0
    last_order = -1
    order_map = {'h': 0, 'm': 1, 's': 2}

    for m in matches:
        num_str = m.group(1)
        unit = m.group(2).lower()
        num = int(num_str)
        order = order_map[unit]

        if order <= last_order:
            raise ValueError(f"invalid unit order or duplicate unit: {unit}")

        last_order = order

        if unit == 'h':
            total += num * 3600
        elif unit == 'm':
            total += num * 60
        else:  # 's'
            total += num

    # Verify that the entire string consists only of the matched parts and whitespace
    matched_text = ''.join(m.group(0) for m in matches)
    if re.sub(r'\s+', '', s) != re.sub(r'\s+', '', matched_text):
        raise ValueError("invalid characters in duration string")

    return total
```

```python
def summarize_ranges(nums: list[int]) -> str:
    if not nums:
        return ""
    
    # Sort and remove duplicates
    sorted_nums = sorted(set(nums))
    
    result = []
    i = 0
    n = len(sorted_nums)
    
    while i < n:
        start = sorted_nums[i]
        # Find the end of the current run of consecutive numbers
        j = i
        while j + 1 < n and sorted_nums[j + 1] == sorted_nums[j] + 1:
            j += 1
        
        run_length = j - i + 1
        
        if run_length >= 3:
            result.append(f"{start}..{sorted_nums[j]}")
        elif run_length == 2:
            result.append(f"{start},{sorted_nums[j]}")
        else:  # run_length == 1
            result.append(f"{start}")
        
        i = j + 1
    
    return ",".join(result)
```

```python
import re
from collections import defaultdict

def top_customers(rows: list[dict], n: int) -> list[tuple[str, float]]:
    def parse_amount(amount_str: str) -> float | None:
        """Parse amount string to float. Returns None if invalid."""
        if not amount_str:
            return None
        
        s = amount_str.strip()
        if not s:
            return None
        
        # Determine sign
        negative = False
        if s.startswith('-'):
            negative = True
            s = s[1:]
        
        # Remove dollar sign
        if s.startswith('$'):
            s = s[1:]
        
        # Remove commas (thousand separators)
        s = s.replace(',', '')
        
        try:
            value = float(s)
            return -value if negative else value
        except ValueError:
            return None
    
    # Store: lowercase_key -> [display_name, running_total]
    customers = {}
    
    for row in rows:
        customer = row.get('customer', '')
        amount_str = row.get('amount', '')
        
        # Trim customer name
        customer = customer.strip()
        
        # Skip empty customer
        if not customer:
            continue
        
        # Parse amount, skip if invalid
        amount = parse_amount(amount_str)
        if amount is None:
            continue
        
        # Case-insensitive key
        key = customer.lower()
        
        if key not in customers:
            # First valid occurrence determines display name
            customers[key] = [customer, 0.0]
        
        customers[key][1] += amount
    
    # Build results with rounded totals
    results = [(name, round(total, 2)) for name, total in customers.values()]
    
    # Sort by total descending, then name ascending
    results.sort(key=lambda x: (-x[1], x[0]))
    
    return results[:n]
```

```python
import unicodedata
import re


def slugify(title: str, max_len: int = 50) -> str:
    # Step 1: Transliterate accented characters to ASCII and drop non-ASCII
    normalized = unicodedata.normalize('NFKD', title)
    ascii_str = ''.join(
        c for c in normalized
        if not unicodedata.combining(c) and ord(c) < 128
    )

    # Step 2: Lowercase
    ascii_str = ascii_str.lower()

    # Step 3: Replace runs of non-alphanumeric chars with "-" and strip
    slug = re.sub(r'[^a-z0-9]+', '-', ascii_str).strip('-')

    # Step 4 & 5: Handle length constraint
    if len(slug) > max_len:
        words = slug.split('-')
        result_words = []
        current_length = 0

        for word in words:
            if result_words:
                potential_length = current_length + 1 + len(word)
            else:
                potential_length = len(word)

            if potential_length <= max_len:
                result_words.append(word)
                current_length = potential_length
            else:
                break

        if not result_words:
            # First word exceeds max_len, hard-cut it
            slug = words[0][:max_len]
        else:
            slug = '-'.join(result_words)

    return slug
```

```python
from typing import Callable

class TokenBucket:
    def __init__(self, capacity: float, refill_per_sec: float, clock: Callable[[], float]) -> None:
        self._capacity = capacity
        self._refill_rate = refill_per_sec
        self._clock = clock
        self._tokens = capacity          # start full
        self._last_time = self._clock()  # initial timestamp

    def _refill(self) -> None:
        """Refill tokens based on elapsed time."""
        now = self._clock()
        elapsed = now - self._last_time
        if elapsed > 0:
            # add tokens, but never exceed capacity
            self._tokens = min(self._capacity,
                               self._tokens + elapsed * self._refill_rate)
            self._last_time = now

    def allow(self, cost: float = 1) -> bool:
        """Try to consume `cost` tokens. Returns True if successful."""
        self._refill()
        if self._tokens >= cost:
            self._tokens -= cost
            return True
        return False

    @property
    def tokens(self) -> float:
        """Current number of tokens in the bucket after refilling."""
        self._refill()
        return self._tokens
```

```json
{
  "outcome": {
    "full_refund": 0,
    "partial_refund": 0,
    "store_credit": 1,
    "nothing": 0
  },
  "defective": {
    "true": 0,
    "false": 1
  }
}
```

```json
{
  "severity": {
    "0": 0.01,
    "1": 0.97,
    "2": 0.02,
    "3": 0.0
  },
  "page": {
    "true": 0.02,
    "false": 0.98
    }
}
```

```json
{
  "tool": {
    "web_search": 0,
    "calculator": 0,
    "calendar": 1,
    "email": 0,
    "none": 0
  },
  "confirm": {
    "true": 1,
    "false": 0
  }
}
```

```json
{
  "phishing": {
    "true": 0.01,
    "false": 0.99
  },
  "action_needed": {
    "true": 0.01,
    "false": 0.99
  }
}
```

```json
{
  "slot": {
    "A": 0,
    "B": 1,
    "C": 0,
    "D": 0
  },
  "raj_last": {
    "true": 1,
    "false": 0
  }
}
```

{
  "hardware": {
    "true": 1.0,
    "false": 0.0
  },
  "support": {
    "true": 1.0,
    "false": 0.0
  }
}

```json
{
  "department": {
    "billing": 0.05,
    "technical": 0.95,
    "account": 0.0,
    "shipping": 0.0,
    "sales": 0.0
  },
  "urgency": {
    "0": 0.0,
    "1": 0.0,
    "2": 0.05,
    "3": 0.95
  },
  "outage": {
    "true": 1.0,
    "false": 0.0
  }
}
```

```json
{
  "department": {
    "billing": 1.0,
    "technical": 0.0,
    "account": 0.0,
    "shipping": 0.0,
    "sales": 0.0
  },
  "refund": {
    "true": 1.0,
    "false": 0.0
  },
  "tone": {
    "frustrated": 0.0,
    "calm": 1.0
  }
}
```

```json
{
  "policy": {
    "none": 0.01,
    "harassment": 0.99,
    "hate": 0.0,
    "spam": 0.0,
    "self_harm": 0.0
  },
  "personal_info": {
    "true": 1.0,
    "false": 0.0
  }
}
```

```json
{
  "tool": {
    "web_search": 0.01,
    "calculator": 0.01,
    "calendar": 0.97,
    "email": 0.01,
    "none": 0.0
  },
  "confirm": {
    "true": 1.0,
    "false": 0.0
  }
}
```

```json
{
  "doc_type": {
    "invoice": 1.0,
    "resume": 0.0,
    "contract": 0.0,
    "bank_statement": 0.0,
    "other": 0.0
  },
  "missing_due_date": {
    "true": 1.0,
    "false": 0.0
  }
}
```

{
  "phishing": {
    "true": 0.99,
    "false": 0.01
  },
  "risk": {
    "0": 0.0,
    "1": 0.0,
    "2": 0.01,
    "3": 0.99
  }
}

```json
{
  "data_kind": {
    "none": 0,
    "contact": 0,
    "financial": 0,
    "government_id": 1,
    "health": 0
  },
  "sensitive": {
    "true": 1,
    "false": 0
  }
}
```

```json
{
  "sentiment": {
    "positive": 0.05,
    "neutral": 0.05,
    "negative": 0.9
  },
  "defect": {
    "true": 1.0,
    "false": 0.0
  },
  "recommend": {
    "true": 0.0,
    "false": 1.0
  }
}
```

{
  "year2_price_per_seat_month": 47.25,
  "year3_price_per_seat_month": 47.25,
  "year1_invoice": 58320.00,
  "year2_invoice": 61236.00,
  "addon_months_billed": 6,
  "addon_invoice": 38556.00,
  "year3_invoice": 134946.00,
  "year3_discount_percent": 15,
  "total_contract_value": 293058.00,
  "contract_end_date": "2027-02-28"
}

{
  "employee_id": "EMP-20417",
  "destination_city": "Lisbon",
  "trip_start": "2025-02-24",
  "trip_end": "2025-02-27",
  "approved_items": [
    {
      "date": "2025-02-24",
      "category": "airfare",
      "amount_usd": 1184.60
    },
    {
      "date": "2025-02-24",
      "category": "ground_transport",
      "amount_usd": 38.88
    },
    {
      "date": "2025-02-25",
      "category": "meals",
      "amount_usd": 229.39
    },
    {
      "date": "2025-02-26",
      "category": "lodging",
      "amount_usd": 466.56
    },
    {
      "date": "2025-02-27",
      "category": "ground_transport",
      "amount_usd": 44.82
    }
  ],
  "rejected_item_count": 1,
  "per_diem_days": 3,
  "per_diem_usd": 195.00,
  "total_reimbursable_usd": 2159.25,
  "approver_email": "priya.raman@corvane.com"
}

{
  "tenants": [
    "Marcus Lin",
    "Sofia Lin"
  ],
  "landlord": "Ridgeline Property Group LLC",
  "zip": "97205",
  "lease_end": "2025-11-30",
  "original_monthly_rent": 2150.00,
  "monthly_rent_from_2025_06_01": 2236.00,
  "late_fee_from_2025_06_01": 111.80,
  "security_deposit": 2150.00,
  "total_pet_deposits": 800.00,
  "total_monthly_payment_july_2025": 2306.00,
  "move_in_payment": 4700.00
}

{
  "ticket_id": "48213",
  "account_id": "ACC-7731",
  "open_issue": "inventory_sync",
  "resolved_issues": [
    "billing_address"
  ],
  "affected_orders": [
    "SO-99812",
    "SO-99820",
    "SO-99827"
  ],
  "priority": "P2",
  "sla_due_local": "2025-09-15T15:30",
  "sla_due_utc": "2025-09-15T20:30:00Z",
  "reissued_invoice": "INV-2025-0812"
}

{
  "q3_total_usd": 15346000,
  "q2_total_usd": 14464000,
  "q2_central_originally_reported_usd": 3047000,
  "q2_to_q3_change_pct": 6.1,
  "top_region_q3": "East",
  "fastest_growing_region_q1_to_q3": "International",
  "regions_declining_q2_to_q3": [
    "East"
  ],
  "international_q3_organic_usd": 1731000,
  "west_excluding_mountain_q3_usd": 4201000
}