Qwen2.5 7B Instruct review: not one we'd recommend right now

```python
import re
from collections import defaultdict

def parse_ini(text: str) -> dict[str, dict[str, str]]:
    lines = text.splitlines()
    sections = defaultdict(dict)
    defaults = {}
    current_section = 'DEFAULT'
    
    for line in lines:
        line = line.strip()
        if not line or line.startswith(';') or line.startswith('#'):
            continue
        
        if line.startswith('[') and line.endswith(']'):
            current_section = line[1:-1].strip()
            if current_section == 'DEFAULT':
                defaults = sections[current_section]
                continue
            sections[current_section] = {}
        else:
            key, value = line.split(maxsplit=1)
            key = key.strip().lower()
            value = value.strip()
            
            if value.startswith('"') and value.endswith('"'):
                value = value[1:-1]
            
            while line.endswith('\\'):
                next_line = next((l for l in lines[lines.index(line) + 1:] if l.strip()), '').strip()
                value += '\n' + next_line
            
            # Resolve interpolation
            def resolve(key):
                nonlocal sections, defaults
                if key in defaults:
                    return defaults[key]
                elif key in sections[current_section]:
                    return sections[current_section][key]
                else:
                    raise KeyError(f"Key {key} not found")
            
            value = re.sub(r'\$\{(\w+)\}', lambda m: resolve(m.group(1)), value)
            value = re.sub(r'\$\{(\w+):(\w+)\}', lambda m: resolve(f"{m.group(1)}.{m.group(2)}"), value)
            
            sections[current_section][key] = value
    
    return {k: v for k, v in sections.items() if k != 'DEFAULT'}
```

```python
from collections import OrderedDict
from typing import Any, Callable

class TTLCache:
    def __init__(self, capacity: int, ttl: float, clock: Callable[[], float] = None):
        self.capacity = capacity
        self.ttl = ttl
        self.clock = clock or (lambda: 0)
        self.cache = OrderedDict()
        self.stats = {"hits": 0, "misses": 0, "evictions": 0, "expirations": 0}

    def put(self, key: Any, value: Any) -> None:
        current_time = self.clock()
        if key in self.cache:
            self.cache.move_to_end(key)
            self.cache[key] = value
            self.cache[key]["expiry"] = current_time + self.ttl
        else:
            if len(self.cache) >= self.capacity:
                while True:
                    oldest_key = next(iter(self.cache))
                    if self.cache[oldest_key]["expiry"] > current_time:
                        break
                    del self.cache[oldest_key]
                    self.stats["expirations"] += 1
                    self.stats["misses"] += 1
            self.cache[key] = {"value": value, "expiry": current_time + self.ttl}

    def get(self, key: Any, default: Any = None) -> Any:
        current_time = self.clock()
        if key not in self.cache:
            self.stats["misses"] += 1
            return default
        entry = self.cache[key]
        if entry["expiry"] <= current_time:
            del self.cache[key]
            self.stats["expirations"] += 1
            self.stats["misses"] += 1
            return default
        self.cache.move_to_end(key)
        entry["expiry"] = current_time + self.ttl
        self.stats["hits"] += 1
        return entry["value"]

    def __len__(self) -> int:
        current_time = self.clock()
        return sum(1 for k in self.cache if self.cache[k]["expiry"] > current_time)

    def stats(self) -> dict:
        return self.stats
```

```python
def parse_duration(s: str) -> int:
    import re
    
    if not s.strip():
        raise ValueError("Duration string cannot be empty or blank")
    
    pattern = r"(\d+)(h|m|s)"
    matches = re.findall(pattern, s.replace(" ", "").lower())
    
    if not matches:
        raise ValueError("Duration string must contain at least one valid unit with a number")
    
    units = {"h": 3600, "m": 60, "s": 1}
    total_seconds = 0
    
    for amount, unit in matches:
        if unit not in units:
            raise ValueError(f"Unknown unit: {unit}")
        total_seconds += int(amount) * units[unit]
    
    return total_seconds
```

```python
def summarize_ranges(nums: list[int]) -> str:
    if not nums:
        return ""
    
    nums.sort()
    result = []
    start = None
    
    for i in range(len(nums)):
        if start is None or nums[i] == nums[i - 1] + 1:
            start = nums[i]
        else:
            if i > 0 and nums[i - 1] - nums[i - 2] >= 2:
                result.append(f"{start}..{nums[i - 1]}")
                start = nums[i]
            else:
                result.extend(map(str, range(nums[i - 1], nums[i])))
    
    if start is not None:
        if len(nums) - nums.index(start) >= 2:
            result.append(f"{start}..{nums[-1]}")
        else:
            result.extend(map(str, range(start, nums[-1] + 1)))
    
    return ",".join(result)
```

```python
from typing import List, Tuple
import re

def top_customers(rows: List[dict], n: int) -> List[Tuple[str, float]]:
    def parse_amount(amount_str: str) -> float:
        amount_str = amount_str.strip()
        if not amount_str:
            return 0.0
        match = re.match(r'^-?\$?(\d+(,\d{3})*(\.\d+)?|\.\d+)$', amount_str.replace(',', ''))
        if not match:
            return 0.0
        return round(float(match.group(1).replace(',', '')), 2)

    customers = {}
    for row in rows:
        name = row.get('customer').strip().lower()
        if not name:
            continue
        amount = parse_amount(row.get('amount'))
        if amount == 0.0:
            continue
        if name not in customers:
            customers[name] = amount
        else:
            customers[name] += amount

    sorted_customers = sorted(customers.items(), key=lambda x: (-x[1], x[0]))
    return sorted_customers[:n]
```

```python
import re
from unicodedata import normalize

def slugify(title: str, max_len: int = 50) -> str:
    # Transliterate accented characters to ASCII and lowercase
    ascii_title = normalize('NFKD', title).encode('ASCII', 'ignore').decode().lower()
    
    # Replace every run of non-alphanumeric characters with a single "-"
    slug = re.sub(r'[^a-z0-9]+', '-', ascii_title)
    
    # Strip leading/trailing "-"
    slug = slug.strip('-')
    
    # If the slug is longer than max_len, shorten it without cutting a word
    if len(slug) > max_len:
        # Find the last space before max_len that allows us to keep whole words
        last_space = max((i for i in range(max_len) if slug[i] == '-'), default=max_len)
        slug = slug[:last_space]
        # Ensure the result does not end with "-"
        if slug.endswith('-'):
            slug = slug[:-1]
    
    return slug
```

```python
from collections import deque
import time

class TokenBucket:
    def __init__(self, capacity: float, refill_per_sec: float, clock=time.time):
        self.capacity = capacity
        self.refill_per_sec = refill_per_sec
        self.tokens = capacity
        self.clock = clock
        self.last_refill_time = clock()
        self.refill_queue = deque()

    def _refill(self):
        current_time = self.clock()
        if not self.refill_queue or current_time >= self.refill_queue[-1]:
            elapsed_time = max(current_time - self.last_refill_time, 0)
            tokens_to_add = min(elapsed_time * self.refill_per_sec, self.capacity - self.tokens)
            self.tokens = min(self.capacity, self.tokens + tokens_to_add)
            self.last_refill_time = current_time
            if tokens_to_add > 0:
                self.refill_queue.append(current_time + 1 / self.refill_per_sec)

    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

    @tokens.setter
    def tokens(self, value: float):
        self._tokens = min(value, self.capacity)
```

{
  "outcome": {
    "partial_refund": 1.0
  },
  "defective": {
    "false": 1.0
  }
}

{
  "severity": {
    "0": 0.1,
    "1": 0.2,
    "2": 0.3,
    "3": 0.4
  },
  "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": 0.2,
    "false": 0.8
  }
}

{
  "slot": {
    "A": 0.0,
    "B": 0.25,
    "C": 0.5,
    "D": 0.25
  },
  "raj_last": {
    "true": 0.0,
    "false": 1.0
  }
}

{
  "hardware": {
    "true": 1,
    "false": 0
  },
  "support": {
    "true": 1,
    "false": 0
  }
}

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

{
  "department": {
    "billing": 1.0
  },
  "refund": {
    "true": 1.0
  },
  "tone": {
    "calm": 1.0
  }
}

{
  "policy": {
    "none": 0.9,
    "harassment": 0.1
  },
  "personal_info": {
    "true": 1
  }
}

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

{
  "doc_type": {
    "invoice": 1.0
  },
  "missing_due_date": {
    "true": 0.0,
    "false": 1.0
  }
}

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

{
  "data_kind": {
    "none": 0,
    "contact": 0,
    "financial": 0.1,
    "government_id": 1,
    "health": 0
  },
  "sensitive": {
    "true": 1,
    "false": 0
  }
}

{
  "sentiment": {
    "negative": 1
  },
  "defect": {
    "true": 1
  },
  "recommend": {
    "false": 1
  }
}

{
  "year2_price_per_seat_month": 47.68,
  "year3_price_per_seat_month": 49.91,
  "year1_invoice": 54000.00,
  "year2_invoice": null,
  "addon_months_billed": 6,
  "addon_invoice": 23040.00,
  "year3_invoice": null,
  "year3_discount_percent": 15.00,
  "total_contract_value": 133040.00,
  "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": 39.72},
    {"date": "2025-02-25", "category": "meals", "amount_usd": 230.44},
    {"date": "2025-02-26", "category": "lodging", "amount_usd": 469.08},
    {"date": "2025-02-27", "category": "ground_transport", "amount_usd": 44.84}
  ],
  "rejected_item_count": 2,
  "per_diem_days": 3,
  "per_diem_usd": 195.00,
  "total_reimbursable_usd": 1883.84,
  "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": 2254,
  "late_fee_from_2025_06_01": 112.7,
  "security_deposit": 2150,
  "total_pet_deposits": 800,
  "total_monthly_payment_july_2025": 2289,
  "move_in_payment": 4500
}

{
  "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": "2025-09-13T17:00",
  "sla_due_utc": "2025-09-13T22:00:00Z",
  "reissued_invoice": "INV-2025-0812"
}

{
  "q3_total_usd": 1951000,
  "q2_total_usd": 1622000,
  "q2_central_originally_reported_usd": 3047000,
  "q2_to_q3_change_pct": -15.6,
  "top_region_q3": "East",
  "fastest_growing_region_q1_to_q3": "West",
  "regions_declining_q2_to_q3": ["Central"],
  "international_q3_organic_usd": 1731000,
  "west_excluding_mountain_q3_usd": 418000
}