Mistral Nemo review: not one we'd recommend right now

```python
import re
from typing import Dict, Optional

def parse_ini(text: str) -> Dict[str, Dict[str, str]]:
    sections: Dict[str, Dict[str, str]] = {}
    current_section: Optional[str] = None
    default_section: Dict[str, str] = {}
    lines = text.splitlines()
    i = 0

    while i < len(lines):
        line = lines[i].strip()

        if not line or line.startswith((';', '#')):
            i += 1
            continue

        match = re.match(r'\s*\[([^]]+)\]', line)
        if match:
            current_section = match.group(1).lower()
            if current_section == 'default':
                default_section = sections.pop('default', {})
            else:
                sections[current_section] = default_section.copy()
            i += 1
            continue

        match = re.match(r'\s*([^=:#;]+)\s*(=|:)\s*(.*)', line)
        if not match:
            raise ValueError(f"Malformed line: {line!r}")

        key, sep, value = match.groups()
        key = key.lower().strip()

        if current_section is None:
            raise ValueError(f"No section for key: {key!r}")

        if key in sections[current_section]:
            i += 1
            continue

        if value.startswith('"') and value.endswith('"'):
            value = value[1:-1]
        else:
            value = value.strip()

        sections[current_section][key] = value

        while i + 1 < len(lines) and lines[i + 1].strip() and lines[i + 1].strip()[0].isspace():
            value += '\n' + lines[i + 1].strip()
            i += 1

        i += 1

    return sections
```

```python
import time
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()
        self.stats = {"hits": 0, "misses": 0, "evictions": 0, "expirations": 0}

    def put(self, key, value):
        now = self.clock()
        if key in self.cache:
            self.cache.move_to_end(key)
            self.cache[key] = (now + self.ttl, value)
        else:
            if len(self.cache) >= self.capacity:
                self._evict(now)
            self.cache[key] = (now + self.ttl, value)

    def get(self, key, default=None):
        now = self.clock()
        if key in self.cache and self.cache[key][0] > now:
            self.cache.move_to_end(key)
            return self.cache[key][1]
        else:
            self.stats["expirations"] += 1
            self.stats["misses"] += 1
            del self.cache[key]
            return default

    def __len__(self):
        now = self.clock()
        return sum(1 for k, v in self.cache.items() if v[0] > now)

    def stats(self):
        return self.stats

    def _evict(self, now):
        while self.cache:
            key = next(iter(self.cache))
            if self.cache[key][0] > now:
                break
            self.stats["evictions"] += 1
            del self.cache[key]
```

```python
import re

def parse_duration(s: str) -> int:
    if not s.strip():
        raise ValueError("Empty or blank string")

    units = {'h': 3600, 'm': 60, 's': 1}
    pattern = r'^(\d+[hms]?)*$'
    if not re.match(pattern, s, re.IGNORECASE):
        raise ValueError("Invalid duration format")

    parts = re.split(r'(\d+)', s)
    parts = [p for p in parts if p]

    for i in range(0, len(parts), 2):
        value = int(parts[i])
        unit = parts[i + 1].lower()
        if unit not in units:
            raise ValueError(f"Unknown unit: {unit}")
        if i > 0 and units[unit] < units[prev_unit]:
            raise ValueError("Units out of order")
        total_seconds += value * units[unit]
        prev_unit = unit

    return total_seconds
```

```python
def summarize_ranges(nums: list[int]) -> str:
    nums = sorted(set(nums))
    result = []
    i = 0
    while i < len(nums):
        j = i + 1
        while j < len(nums) and nums[j] == nums[j - 1] + 1:
            j += 1
        if j - i >= 3:
            result.append(f"{nums[i]}..{nums[j - 1]}")
        elif j - i == 2:
            result.append(f"{nums[i]},{nums[j - 1]}")
        else:
            result.append(str(nums[i]))
        i = j
    return ",".join(result)
```

```python
from decimal import Decimal, InvalidOperation
from collections import defaultdict

def top_customers(rows: list[dict], n: int) -> list[tuple[str, float]]:
    customers = defaultdict(Decimal)
    for row in rows:
        name = row.get("customer", "").strip()
        if not name:
            continue
        try:
            amount = Decimal(row["amount"].replace(",", ""))
        except InvalidOperation:
            continue
        customers[name.lower()] += amount
    return sorted(customers.items(), key=lambda x: (-x[1], x[0]))[:n]
```

```python
import re
import unicodedata

def slugify(title: str, max_len: int = 50) -> str:
    title = unicodedata.normalize('NFKD', title).encode('ascii', 'ignore').decode('utf-8')
    title = re.sub(r'[^a-z0-9]+', '-', title.lower())
    title = re.sub(r'-+', '-', title).strip('-')
    words = title.split('-')
    if len(title) > max_len:
        title = '-'.join(words[:max_len // len(words[0])]) if max_len % len(words[0]) == 0 else '-'.join(words[:max_len // len(words[0]) + 1])
        title = title[:max_len]
    return title.rstrip('-')
```

```python
import time

class TokenBucket:
    def __init__(self, capacity: float, refill_per_sec: float, clock: callable):
        self.capacity = capacity
        self.refill_per_sec = refill_per_sec
        self.clock = clock
        self.tokens = capacity
        self.last_refill = self.clock()

    def allow(self, cost: float = 1) -> bool:
        self.refill()
        if self.tokens >= cost:
            self.tokens -= cost
            return True
        return False

    @property
    def tokens(self) -> float:
        self.refill()
        return self._tokens

    def refill(self) -> None:
        elapsed = self.clock() - self.last_refill
        self._tokens = min(self.capacity, self._tokens + elapsed * self.refill_per_sec)
        self.last_refill = self.clock()
```

{
  "outcome": {
    "full_refund": 0.0,
    "partial_refund": 0.8,
    "store_credit": 0.2,
    "nothing": 0.0
  },
  "defective": {
    "true": 0.0,
    "false": 1.0
  }
}

{
  "severity": {
    "0": 0.0,
    "1": 0.4,
    "2": 0.5,
    "3": 0.1
  },
  "page": {
    "true": 0.9,
    "false": 0.1
  }
}

{
  "tool": {
    "calendar": 1.0
  },
  "confirm": {
    "true": 1.0
  }
}

{
  "phishing": {
    "true": 0.0,
    "false": 1.0
  },
  "action_needed": {
    "true": 0.0,
    "false": 1.0
  }
}

{
  "slot": {
    "A": 0.0,
    "B": 0.0,
    "C": 1.0,
    "D": 0.0
  },
  "raj_last": {
    "true": 1.0,
    "false": 0.0
  }
}

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

{
  "department": {
    "billing": 0.8,
    "technical": 0.2,
    "account": 0,
    "shipping": 0,
    "sales": 0
  },
  "urgency": {
    "0": 0,
    "1": 0,
    "2": 0.2,
    "3": 0.8
  },
  "outage": {
    "true": 1,
    "false": 0
  }
}

{
  "department": {
    "billing": 0.9,
    "account": 0.1,
    "technical": 0,
    "shipping": 0,
    "sales": 0
  },
  "refund": {
    "true": 1,
    "false": 0
  },
  "tone": {
    "frustrated": 0.3,
    "calm": 0.7
  }
}

{
  "policy": {
    "none": 0.2,
    "harassment": 0.8
  },
  "personal_info": {
    "true": 1,
    "false": 0
  }
}

{
  "tool": {
    "calendar": 1.0
  },
  "confirm": {
    "true": 1.0
  }
}

{
  "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": 0.95,
    "false": 0.05
  },
  "risk": {
    "0": 0.05,
    "1": 0.2,
    "2": 0.65,
    "3": 0.1
  }
}

{
  "data_kind": {
    "none": 0.0,
    "contact": 0.0,
    "financial": 0.0,
    "government_id": 1.0,
    "health": 0.0
  },
  "sensitive": {
    "true": 1.0,
    "false": 0.0
  }
}

{
  "sentiment": {
    "positive": 0,
    "neutral": 0.2,
    "negative": 0.8
  },
  "defect": {
    "true": 1,
    "false": 0
  },
  "recommend": {
    "true": 0,
    "false": 1
  }
}

{
  "year2_price_per_seat_month": 47.29,
  "year3_price_per_seat_month": 45.00,
  "year1_invoice": 6600.00,
  "year2_invoice": 7560.00,
  "addon_months_billed": 10,
  "addon_invoice": 7680.00,
  "year3_invoice": 8100.00,
  "year3_discount_percent": 15.00,
  "total_contract_value": 22340.00,
  "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": 1184.6
    },
    {
      "date": "2025-02-24",
      "category": "ground_transport",
      "amount_usd": 36.0
    },
    {
      "date": "2025-02-25",
      "category": "meals",
      "amount_usd": 230.08
    },
    {
      "date": "2025-02-26",
      "category": "lodging",
      "amount_usd": 466.24
    },
    {
      "date": "2025-02-27",
      "category": "ground_transport",
      "amount_usd": 44.28
    }
  ],
  "rejected_item_count": 2,
  "per_diem_days": 3,
  "per_diem_usd": 195.0,
  "total_reimbursable_usd": 2135.12,
  "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,
  "monthly_rent_from_2025_06_01": 2242,
  "late_fee_from_2025_06_01": 112.1,
  "security_deposit": 2150,
  "total_pet_deposits": 800,
  "total_monthly_payment_july_2025": 2327,
  "move_in_payment": 3350
}

{
  "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": "2025-09-12T17:30",
  "sla_due_utc": "2025-09-12T22:30:00Z",
  "reissued_invoice": "INV-2025-0812"
}

{
  "q3_total_usd": 15356,
  "q2_total_usd": 15464,
  "q2_central_originally_reported_usd": 3047,
  "q2_to_q3_change_pct": 5.9,
  "top_region_q3": "West",
  "fastest_growing_region_q1_to_q3": "International",
  "regions_declining_q2_to_q3": [],
  "international_q3_organic_usd": 1731,
  "west_excluding_mountain_q3_usd": 4291
}