instruction
stringclasses 6
values | output
stringclasses 6
values |
|---|---|
Call the weather API for New York
|
{"function": "get_weather", "parameters": {"city": "New York", "units": "celsius"}}
|
Debug the failing test in user_service.py
|
I'll help you debug the test. First, let me check the test file and identify what's failing.
|
Optimize the database query for performance
|
Analyzing the query... I can see we need to add an index on the user_id column.
|
Call the weather API for New York
|
{"function": "get_weather", "parameters": {"city": "New York", "units": "celsius"}}
|
Optimize the database query for performance
|
Analyzing the query... I can see we need to add an index on the user_id column.
|
Call the weather API for New York
|
{"function": "get_weather", "parameters": {"city": "New York", "units": "celsius"}}
|
Implement a binary search tree in Python
|
```python
class Node:
def __init__(self, val):
self.val = val
self.left = None
self.right = None
class BST:
def __init__(self):
self.root = None
def insert(self, val):
if not self.root:
self.root = Node(val)
return
self._insert(self.root, val)
def _insert(self, node, val):
if val < node.val:
if node.left:
self._insert(node.left, val)
else:
node.left = Node(val)
else:
if node.right:
self._insert(node.right, val)
else:
node.right = Node(val)
```
|
Write a React hook for fetching data with caching
|
```typescript
import { useState, useEffect } from 'react';
const useFetch = (url: string) => {
const [data, setData] = useState(null);
const [loading, setLoading] = useState(true);
useEffect(() => {
const cache = localStorage.getItem(url);
if (cache) {
setData(JSON.parse(cache));
setLoading(false);
return;
}
fetch(url)
.then(res => res.json())
.then(data => {
localStorage.setItem(url, JSON.stringify(data));
setData(data);
setLoading(false);
});
}, [url]);
return { data, loading };
};
```
|
Optimize the database query for performance
|
Analyzing the query... I can see we need to add an index on the user_id column.
|
Search for nearby restaurants
|
{"function": "search_places", "parameters": {"type": "restaurant", "radius": "1km"}}
|
Search for nearby restaurants
|
{"function": "search_places", "parameters": {"type": "restaurant", "radius": "1km"}}
|
Call the weather API for New York
|
{"function": "get_weather", "parameters": {"city": "New York", "units": "celsius"}}
|
Implement a binary search tree in Python
|
```python
class Node:
def __init__(self, val):
self.val = val
self.left = None
self.right = None
class BST:
def __init__(self):
self.root = None
def insert(self, val):
if not self.root:
self.root = Node(val)
return
self._insert(self.root, val)
def _insert(self, node, val):
if val < node.val:
if node.left:
self._insert(node.left, val)
else:
node.left = Node(val)
else:
if node.right:
self._insert(node.right, val)
else:
node.right = Node(val)
```
|
Implement a binary search tree in Python
|
```python
class Node:
def __init__(self, val):
self.val = val
self.left = None
self.right = None
class BST:
def __init__(self):
self.root = None
def insert(self, val):
if not self.root:
self.root = Node(val)
return
self._insert(self.root, val)
def _insert(self, node, val):
if val < node.val:
if node.left:
self._insert(node.left, val)
else:
node.left = Node(val)
else:
if node.right:
self._insert(node.right, val)
else:
node.right = Node(val)
```
|
Write a React hook for fetching data with caching
|
```typescript
import { useState, useEffect } from 'react';
const useFetch = (url: string) => {
const [data, setData] = useState(null);
const [loading, setLoading] = useState(true);
useEffect(() => {
const cache = localStorage.getItem(url);
if (cache) {
setData(JSON.parse(cache));
setLoading(false);
return;
}
fetch(url)
.then(res => res.json())
.then(data => {
localStorage.setItem(url, JSON.stringify(data));
setData(data);
setLoading(false);
});
}, [url]);
return { data, loading };
};
```
|
Write a React hook for fetching data with caching
|
```typescript
import { useState, useEffect } from 'react';
const useFetch = (url: string) => {
const [data, setData] = useState(null);
const [loading, setLoading] = useState(true);
useEffect(() => {
const cache = localStorage.getItem(url);
if (cache) {
setData(JSON.parse(cache));
setLoading(false);
return;
}
fetch(url)
.then(res => res.json())
.then(data => {
localStorage.setItem(url, JSON.stringify(data));
setData(data);
setLoading(false);
});
}, [url]);
return { data, loading };
};
```
|
Implement a binary search tree in Python
|
```python
class Node:
def __init__(self, val):
self.val = val
self.left = None
self.right = None
class BST:
def __init__(self):
self.root = None
def insert(self, val):
if not self.root:
self.root = Node(val)
return
self._insert(self.root, val)
def _insert(self, node, val):
if val < node.val:
if node.left:
self._insert(node.left, val)
else:
node.left = Node(val)
else:
if node.right:
self._insert(node.right, val)
else:
node.right = Node(val)
```
|
Optimize the database query for performance
|
Analyzing the query... I can see we need to add an index on the user_id column.
|
Write a React hook for fetching data with caching
|
```typescript
import { useState, useEffect } from 'react';
const useFetch = (url: string) => {
const [data, setData] = useState(null);
const [loading, setLoading] = useState(true);
useEffect(() => {
const cache = localStorage.getItem(url);
if (cache) {
setData(JSON.parse(cache));
setLoading(false);
return;
}
fetch(url)
.then(res => res.json())
.then(data => {
localStorage.setItem(url, JSON.stringify(data));
setData(data);
setLoading(false);
});
}, [url]);
return { data, loading };
};
```
|
Implement a binary search tree in Python
|
```python
class Node:
def __init__(self, val):
self.val = val
self.left = None
self.right = None
class BST:
def __init__(self):
self.root = None
def insert(self, val):
if not self.root:
self.root = Node(val)
return
self._insert(self.root, val)
def _insert(self, node, val):
if val < node.val:
if node.left:
self._insert(node.left, val)
else:
node.left = Node(val)
else:
if node.right:
self._insert(node.right, val)
else:
node.right = Node(val)
```
|
Implement a binary search tree in Python
|
```python
class Node:
def __init__(self, val):
self.val = val
self.left = None
self.right = None
class BST:
def __init__(self):
self.root = None
def insert(self, val):
if not self.root:
self.root = Node(val)
return
self._insert(self.root, val)
def _insert(self, node, val):
if val < node.val:
if node.left:
self._insert(node.left, val)
else:
node.left = Node(val)
else:
if node.right:
self._insert(node.right, val)
else:
node.right = Node(val)
```
|
Optimize the database query for performance
|
Analyzing the query... I can see we need to add an index on the user_id column.
|
Write a React hook for fetching data with caching
|
```typescript
import { useState, useEffect } from 'react';
const useFetch = (url: string) => {
const [data, setData] = useState(null);
const [loading, setLoading] = useState(true);
useEffect(() => {
const cache = localStorage.getItem(url);
if (cache) {
setData(JSON.parse(cache));
setLoading(false);
return;
}
fetch(url)
.then(res => res.json())
.then(data => {
localStorage.setItem(url, JSON.stringify(data));
setData(data);
setLoading(false);
});
}, [url]);
return { data, loading };
};
```
|
Implement a binary search tree in Python
|
```python
class Node:
def __init__(self, val):
self.val = val
self.left = None
self.right = None
class BST:
def __init__(self):
self.root = None
def insert(self, val):
if not self.root:
self.root = Node(val)
return
self._insert(self.root, val)
def _insert(self, node, val):
if val < node.val:
if node.left:
self._insert(node.left, val)
else:
node.left = Node(val)
else:
if node.right:
self._insert(node.right, val)
else:
node.right = Node(val)
```
|
Implement a binary search tree in Python
|
```python
class Node:
def __init__(self, val):
self.val = val
self.left = None
self.right = None
class BST:
def __init__(self):
self.root = None
def insert(self, val):
if not self.root:
self.root = Node(val)
return
self._insert(self.root, val)
def _insert(self, node, val):
if val < node.val:
if node.left:
self._insert(node.left, val)
else:
node.left = Node(val)
else:
if node.right:
self._insert(node.right, val)
else:
node.right = Node(val)
```
|
Write a React hook for fetching data with caching
|
```typescript
import { useState, useEffect } from 'react';
const useFetch = (url: string) => {
const [data, setData] = useState(null);
const [loading, setLoading] = useState(true);
useEffect(() => {
const cache = localStorage.getItem(url);
if (cache) {
setData(JSON.parse(cache));
setLoading(false);
return;
}
fetch(url)
.then(res => res.json())
.then(data => {
localStorage.setItem(url, JSON.stringify(data));
setData(data);
setLoading(false);
});
}, [url]);
return { data, loading };
};
```
|
Call the weather API for New York
|
{"function": "get_weather", "parameters": {"city": "New York", "units": "celsius"}}
|
Debug the failing test in user_service.py
|
I'll help you debug the test. First, let me check the test file and identify what's failing.
|
Write a React hook for fetching data with caching
|
```typescript
import { useState, useEffect } from 'react';
const useFetch = (url: string) => {
const [data, setData] = useState(null);
const [loading, setLoading] = useState(true);
useEffect(() => {
const cache = localStorage.getItem(url);
if (cache) {
setData(JSON.parse(cache));
setLoading(false);
return;
}
fetch(url)
.then(res => res.json())
.then(data => {
localStorage.setItem(url, JSON.stringify(data));
setData(data);
setLoading(false);
});
}, [url]);
return { data, loading };
};
```
|
Debug the failing test in user_service.py
|
I'll help you debug the test. First, let me check the test file and identify what's failing.
|
Implement a binary search tree in Python
|
```python
class Node:
def __init__(self, val):
self.val = val
self.left = None
self.right = None
class BST:
def __init__(self):
self.root = None
def insert(self, val):
if not self.root:
self.root = Node(val)
return
self._insert(self.root, val)
def _insert(self, node, val):
if val < node.val:
if node.left:
self._insert(node.left, val)
else:
node.left = Node(val)
else:
if node.right:
self._insert(node.right, val)
else:
node.right = Node(val)
```
|
Call the weather API for New York
|
{"function": "get_weather", "parameters": {"city": "New York", "units": "celsius"}}
|
Optimize the database query for performance
|
Analyzing the query... I can see we need to add an index on the user_id column.
|
Implement a binary search tree in Python
|
```python
class Node:
def __init__(self, val):
self.val = val
self.left = None
self.right = None
class BST:
def __init__(self):
self.root = None
def insert(self, val):
if not self.root:
self.root = Node(val)
return
self._insert(self.root, val)
def _insert(self, node, val):
if val < node.val:
if node.left:
self._insert(node.left, val)
else:
node.left = Node(val)
else:
if node.right:
self._insert(node.right, val)
else:
node.right = Node(val)
```
|
Write a React hook for fetching data with caching
|
```typescript
import { useState, useEffect } from 'react';
const useFetch = (url: string) => {
const [data, setData] = useState(null);
const [loading, setLoading] = useState(true);
useEffect(() => {
const cache = localStorage.getItem(url);
if (cache) {
setData(JSON.parse(cache));
setLoading(false);
return;
}
fetch(url)
.then(res => res.json())
.then(data => {
localStorage.setItem(url, JSON.stringify(data));
setData(data);
setLoading(false);
});
}, [url]);
return { data, loading };
};
```
|
Debug the failing test in user_service.py
|
I'll help you debug the test. First, let me check the test file and identify what's failing.
|
Call the weather API for New York
|
{"function": "get_weather", "parameters": {"city": "New York", "units": "celsius"}}
|
Debug the failing test in user_service.py
|
I'll help you debug the test. First, let me check the test file and identify what's failing.
|
Implement a binary search tree in Python
|
```python
class Node:
def __init__(self, val):
self.val = val
self.left = None
self.right = None
class BST:
def __init__(self):
self.root = None
def insert(self, val):
if not self.root:
self.root = Node(val)
return
self._insert(self.root, val)
def _insert(self, node, val):
if val < node.val:
if node.left:
self._insert(node.left, val)
else:
node.left = Node(val)
else:
if node.right:
self._insert(node.right, val)
else:
node.right = Node(val)
```
|
Write a React hook for fetching data with caching
|
```typescript
import { useState, useEffect } from 'react';
const useFetch = (url: string) => {
const [data, setData] = useState(null);
const [loading, setLoading] = useState(true);
useEffect(() => {
const cache = localStorage.getItem(url);
if (cache) {
setData(JSON.parse(cache));
setLoading(false);
return;
}
fetch(url)
.then(res => res.json())
.then(data => {
localStorage.setItem(url, JSON.stringify(data));
setData(data);
setLoading(false);
});
}, [url]);
return { data, loading };
};
```
|
Call the weather API for New York
|
{"function": "get_weather", "parameters": {"city": "New York", "units": "celsius"}}
|
Debug the failing test in user_service.py
|
I'll help you debug the test. First, let me check the test file and identify what's failing.
|
Call the weather API for New York
|
{"function": "get_weather", "parameters": {"city": "New York", "units": "celsius"}}
|
Debug the failing test in user_service.py
|
I'll help you debug the test. First, let me check the test file and identify what's failing.
|
Write a React hook for fetching data with caching
|
```typescript
import { useState, useEffect } from 'react';
const useFetch = (url: string) => {
const [data, setData] = useState(null);
const [loading, setLoading] = useState(true);
useEffect(() => {
const cache = localStorage.getItem(url);
if (cache) {
setData(JSON.parse(cache));
setLoading(false);
return;
}
fetch(url)
.then(res => res.json())
.then(data => {
localStorage.setItem(url, JSON.stringify(data));
setData(data);
setLoading(false);
});
}, [url]);
return { data, loading };
};
```
|
Optimize the database query for performance
|
Analyzing the query... I can see we need to add an index on the user_id column.
|
Implement a binary search tree in Python
|
```python
class Node:
def __init__(self, val):
self.val = val
self.left = None
self.right = None
class BST:
def __init__(self):
self.root = None
def insert(self, val):
if not self.root:
self.root = Node(val)
return
self._insert(self.root, val)
def _insert(self, node, val):
if val < node.val:
if node.left:
self._insert(node.left, val)
else:
node.left = Node(val)
else:
if node.right:
self._insert(node.right, val)
else:
node.right = Node(val)
```
|
Write a React hook for fetching data with caching
|
```typescript
import { useState, useEffect } from 'react';
const useFetch = (url: string) => {
const [data, setData] = useState(null);
const [loading, setLoading] = useState(true);
useEffect(() => {
const cache = localStorage.getItem(url);
if (cache) {
setData(JSON.parse(cache));
setLoading(false);
return;
}
fetch(url)
.then(res => res.json())
.then(data => {
localStorage.setItem(url, JSON.stringify(data));
setData(data);
setLoading(false);
});
}, [url]);
return { data, loading };
};
```
|
Write a React hook for fetching data with caching
|
```typescript
import { useState, useEffect } from 'react';
const useFetch = (url: string) => {
const [data, setData] = useState(null);
const [loading, setLoading] = useState(true);
useEffect(() => {
const cache = localStorage.getItem(url);
if (cache) {
setData(JSON.parse(cache));
setLoading(false);
return;
}
fetch(url)
.then(res => res.json())
.then(data => {
localStorage.setItem(url, JSON.stringify(data));
setData(data);
setLoading(false);
});
}, [url]);
return { data, loading };
};
```
|
Write a React hook for fetching data with caching
|
```typescript
import { useState, useEffect } from 'react';
const useFetch = (url: string) => {
const [data, setData] = useState(null);
const [loading, setLoading] = useState(true);
useEffect(() => {
const cache = localStorage.getItem(url);
if (cache) {
setData(JSON.parse(cache));
setLoading(false);
return;
}
fetch(url)
.then(res => res.json())
.then(data => {
localStorage.setItem(url, JSON.stringify(data));
setData(data);
setLoading(false);
});
}, [url]);
return { data, loading };
};
```
|
Write a React hook for fetching data with caching
|
```typescript
import { useState, useEffect } from 'react';
const useFetch = (url: string) => {
const [data, setData] = useState(null);
const [loading, setLoading] = useState(true);
useEffect(() => {
const cache = localStorage.getItem(url);
if (cache) {
setData(JSON.parse(cache));
setLoading(false);
return;
}
fetch(url)
.then(res => res.json())
.then(data => {
localStorage.setItem(url, JSON.stringify(data));
setData(data);
setLoading(false);
});
}, [url]);
return { data, loading };
};
```
|
Write a React hook for fetching data with caching
|
```typescript
import { useState, useEffect } from 'react';
const useFetch = (url: string) => {
const [data, setData] = useState(null);
const [loading, setLoading] = useState(true);
useEffect(() => {
const cache = localStorage.getItem(url);
if (cache) {
setData(JSON.parse(cache));
setLoading(false);
return;
}
fetch(url)
.then(res => res.json())
.then(data => {
localStorage.setItem(url, JSON.stringify(data));
setData(data);
setLoading(false);
});
}, [url]);
return { data, loading };
};
```
|
Implement a binary search tree in Python
|
```python
class Node:
def __init__(self, val):
self.val = val
self.left = None
self.right = None
class BST:
def __init__(self):
self.root = None
def insert(self, val):
if not self.root:
self.root = Node(val)
return
self._insert(self.root, val)
def _insert(self, node, val):
if val < node.val:
if node.left:
self._insert(node.left, val)
else:
node.left = Node(val)
else:
if node.right:
self._insert(node.right, val)
else:
node.right = Node(val)
```
|
Write a React hook for fetching data with caching
|
```typescript
import { useState, useEffect } from 'react';
const useFetch = (url: string) => {
const [data, setData] = useState(null);
const [loading, setLoading] = useState(true);
useEffect(() => {
const cache = localStorage.getItem(url);
if (cache) {
setData(JSON.parse(cache));
setLoading(false);
return;
}
fetch(url)
.then(res => res.json())
.then(data => {
localStorage.setItem(url, JSON.stringify(data));
setData(data);
setLoading(false);
});
}, [url]);
return { data, loading };
};
```
|
Call the weather API for New York
|
{"function": "get_weather", "parameters": {"city": "New York", "units": "celsius"}}
|
Debug the failing test in user_service.py
|
I'll help you debug the test. First, let me check the test file and identify what's failing.
|
Optimize the database query for performance
|
Analyzing the query... I can see we need to add an index on the user_id column.
|
Write a React hook for fetching data with caching
|
```typescript
import { useState, useEffect } from 'react';
const useFetch = (url: string) => {
const [data, setData] = useState(null);
const [loading, setLoading] = useState(true);
useEffect(() => {
const cache = localStorage.getItem(url);
if (cache) {
setData(JSON.parse(cache));
setLoading(false);
return;
}
fetch(url)
.then(res => res.json())
.then(data => {
localStorage.setItem(url, JSON.stringify(data));
setData(data);
setLoading(false);
});
}, [url]);
return { data, loading };
};
```
|
Optimize the database query for performance
|
Analyzing the query... I can see we need to add an index on the user_id column.
|
Write a React hook for fetching data with caching
|
```typescript
import { useState, useEffect } from 'react';
const useFetch = (url: string) => {
const [data, setData] = useState(null);
const [loading, setLoading] = useState(true);
useEffect(() => {
const cache = localStorage.getItem(url);
if (cache) {
setData(JSON.parse(cache));
setLoading(false);
return;
}
fetch(url)
.then(res => res.json())
.then(data => {
localStorage.setItem(url, JSON.stringify(data));
setData(data);
setLoading(false);
});
}, [url]);
return { data, loading };
};
```
|
Debug the failing test in user_service.py
|
I'll help you debug the test. First, let me check the test file and identify what's failing.
|
Implement a binary search tree in Python
|
```python
class Node:
def __init__(self, val):
self.val = val
self.left = None
self.right = None
class BST:
def __init__(self):
self.root = None
def insert(self, val):
if not self.root:
self.root = Node(val)
return
self._insert(self.root, val)
def _insert(self, node, val):
if val < node.val:
if node.left:
self._insert(node.left, val)
else:
node.left = Node(val)
else:
if node.right:
self._insert(node.right, val)
else:
node.right = Node(val)
```
|
Search for nearby restaurants
|
{"function": "search_places", "parameters": {"type": "restaurant", "radius": "1km"}}
|
Optimize the database query for performance
|
Analyzing the query... I can see we need to add an index on the user_id column.
|
Write a React hook for fetching data with caching
|
```typescript
import { useState, useEffect } from 'react';
const useFetch = (url: string) => {
const [data, setData] = useState(null);
const [loading, setLoading] = useState(true);
useEffect(() => {
const cache = localStorage.getItem(url);
if (cache) {
setData(JSON.parse(cache));
setLoading(false);
return;
}
fetch(url)
.then(res => res.json())
.then(data => {
localStorage.setItem(url, JSON.stringify(data));
setData(data);
setLoading(false);
});
}, [url]);
return { data, loading };
};
```
|
Search for nearby restaurants
|
{"function": "search_places", "parameters": {"type": "restaurant", "radius": "1km"}}
|
Search for nearby restaurants
|
{"function": "search_places", "parameters": {"type": "restaurant", "radius": "1km"}}
|
Implement a binary search tree in Python
|
```python
class Node:
def __init__(self, val):
self.val = val
self.left = None
self.right = None
class BST:
def __init__(self):
self.root = None
def insert(self, val):
if not self.root:
self.root = Node(val)
return
self._insert(self.root, val)
def _insert(self, node, val):
if val < node.val:
if node.left:
self._insert(node.left, val)
else:
node.left = Node(val)
else:
if node.right:
self._insert(node.right, val)
else:
node.right = Node(val)
```
|
Write a React hook for fetching data with caching
|
```typescript
import { useState, useEffect } from 'react';
const useFetch = (url: string) => {
const [data, setData] = useState(null);
const [loading, setLoading] = useState(true);
useEffect(() => {
const cache = localStorage.getItem(url);
if (cache) {
setData(JSON.parse(cache));
setLoading(false);
return;
}
fetch(url)
.then(res => res.json())
.then(data => {
localStorage.setItem(url, JSON.stringify(data));
setData(data);
setLoading(false);
});
}, [url]);
return { data, loading };
};
```
|
Search for nearby restaurants
|
{"function": "search_places", "parameters": {"type": "restaurant", "radius": "1km"}}
|
Write a React hook for fetching data with caching
|
```typescript
import { useState, useEffect } from 'react';
const useFetch = (url: string) => {
const [data, setData] = useState(null);
const [loading, setLoading] = useState(true);
useEffect(() => {
const cache = localStorage.getItem(url);
if (cache) {
setData(JSON.parse(cache));
setLoading(false);
return;
}
fetch(url)
.then(res => res.json())
.then(data => {
localStorage.setItem(url, JSON.stringify(data));
setData(data);
setLoading(false);
});
}, [url]);
return { data, loading };
};
```
|
Search for nearby restaurants
|
{"function": "search_places", "parameters": {"type": "restaurant", "radius": "1km"}}
|
Search for nearby restaurants
|
{"function": "search_places", "parameters": {"type": "restaurant", "radius": "1km"}}
|
Debug the failing test in user_service.py
|
I'll help you debug the test. First, let me check the test file and identify what's failing.
|
Search for nearby restaurants
|
{"function": "search_places", "parameters": {"type": "restaurant", "radius": "1km"}}
|
Write a React hook for fetching data with caching
|
```typescript
import { useState, useEffect } from 'react';
const useFetch = (url: string) => {
const [data, setData] = useState(null);
const [loading, setLoading] = useState(true);
useEffect(() => {
const cache = localStorage.getItem(url);
if (cache) {
setData(JSON.parse(cache));
setLoading(false);
return;
}
fetch(url)
.then(res => res.json())
.then(data => {
localStorage.setItem(url, JSON.stringify(data));
setData(data);
setLoading(false);
});
}, [url]);
return { data, loading };
};
```
|
Write a React hook for fetching data with caching
|
```typescript
import { useState, useEffect } from 'react';
const useFetch = (url: string) => {
const [data, setData] = useState(null);
const [loading, setLoading] = useState(true);
useEffect(() => {
const cache = localStorage.getItem(url);
if (cache) {
setData(JSON.parse(cache));
setLoading(false);
return;
}
fetch(url)
.then(res => res.json())
.then(data => {
localStorage.setItem(url, JSON.stringify(data));
setData(data);
setLoading(false);
});
}, [url]);
return { data, loading };
};
```
|
Implement a binary search tree in Python
|
```python
class Node:
def __init__(self, val):
self.val = val
self.left = None
self.right = None
class BST:
def __init__(self):
self.root = None
def insert(self, val):
if not self.root:
self.root = Node(val)
return
self._insert(self.root, val)
def _insert(self, node, val):
if val < node.val:
if node.left:
self._insert(node.left, val)
else:
node.left = Node(val)
else:
if node.right:
self._insert(node.right, val)
else:
node.right = Node(val)
```
|
Optimize the database query for performance
|
Analyzing the query... I can see we need to add an index on the user_id column.
|
Call the weather API for New York
|
{"function": "get_weather", "parameters": {"city": "New York", "units": "celsius"}}
|
Implement a binary search tree in Python
|
```python
class Node:
def __init__(self, val):
self.val = val
self.left = None
self.right = None
class BST:
def __init__(self):
self.root = None
def insert(self, val):
if not self.root:
self.root = Node(val)
return
self._insert(self.root, val)
def _insert(self, node, val):
if val < node.val:
if node.left:
self._insert(node.left, val)
else:
node.left = Node(val)
else:
if node.right:
self._insert(node.right, val)
else:
node.right = Node(val)
```
|
Call the weather API for New York
|
{"function": "get_weather", "parameters": {"city": "New York", "units": "celsius"}}
|
Debug the failing test in user_service.py
|
I'll help you debug the test. First, let me check the test file and identify what's failing.
|
Optimize the database query for performance
|
Analyzing the query... I can see we need to add an index on the user_id column.
|
Implement a binary search tree in Python
|
```python
class Node:
def __init__(self, val):
self.val = val
self.left = None
self.right = None
class BST:
def __init__(self):
self.root = None
def insert(self, val):
if not self.root:
self.root = Node(val)
return
self._insert(self.root, val)
def _insert(self, node, val):
if val < node.val:
if node.left:
self._insert(node.left, val)
else:
node.left = Node(val)
else:
if node.right:
self._insert(node.right, val)
else:
node.right = Node(val)
```
|
Write a React hook for fetching data with caching
|
```typescript
import { useState, useEffect } from 'react';
const useFetch = (url: string) => {
const [data, setData] = useState(null);
const [loading, setLoading] = useState(true);
useEffect(() => {
const cache = localStorage.getItem(url);
if (cache) {
setData(JSON.parse(cache));
setLoading(false);
return;
}
fetch(url)
.then(res => res.json())
.then(data => {
localStorage.setItem(url, JSON.stringify(data));
setData(data);
setLoading(false);
});
}, [url]);
return { data, loading };
};
```
|
Write a React hook for fetching data with caching
|
```typescript
import { useState, useEffect } from 'react';
const useFetch = (url: string) => {
const [data, setData] = useState(null);
const [loading, setLoading] = useState(true);
useEffect(() => {
const cache = localStorage.getItem(url);
if (cache) {
setData(JSON.parse(cache));
setLoading(false);
return;
}
fetch(url)
.then(res => res.json())
.then(data => {
localStorage.setItem(url, JSON.stringify(data));
setData(data);
setLoading(false);
});
}, [url]);
return { data, loading };
};
```
|
Write a React hook for fetching data with caching
|
```typescript
import { useState, useEffect } from 'react';
const useFetch = (url: string) => {
const [data, setData] = useState(null);
const [loading, setLoading] = useState(true);
useEffect(() => {
const cache = localStorage.getItem(url);
if (cache) {
setData(JSON.parse(cache));
setLoading(false);
return;
}
fetch(url)
.then(res => res.json())
.then(data => {
localStorage.setItem(url, JSON.stringify(data));
setData(data);
setLoading(false);
});
}, [url]);
return { data, loading };
};
```
|
Write a React hook for fetching data with caching
|
```typescript
import { useState, useEffect } from 'react';
const useFetch = (url: string) => {
const [data, setData] = useState(null);
const [loading, setLoading] = useState(true);
useEffect(() => {
const cache = localStorage.getItem(url);
if (cache) {
setData(JSON.parse(cache));
setLoading(false);
return;
}
fetch(url)
.then(res => res.json())
.then(data => {
localStorage.setItem(url, JSON.stringify(data));
setData(data);
setLoading(false);
});
}, [url]);
return { data, loading };
};
```
|
Search for nearby restaurants
|
{"function": "search_places", "parameters": {"type": "restaurant", "radius": "1km"}}
|
Call the weather API for New York
|
{"function": "get_weather", "parameters": {"city": "New York", "units": "celsius"}}
|
Write a React hook for fetching data with caching
|
```typescript
import { useState, useEffect } from 'react';
const useFetch = (url: string) => {
const [data, setData] = useState(null);
const [loading, setLoading] = useState(true);
useEffect(() => {
const cache = localStorage.getItem(url);
if (cache) {
setData(JSON.parse(cache));
setLoading(false);
return;
}
fetch(url)
.then(res => res.json())
.then(data => {
localStorage.setItem(url, JSON.stringify(data));
setData(data);
setLoading(false);
});
}, [url]);
return { data, loading };
};
```
|
Optimize the database query for performance
|
Analyzing the query... I can see we need to add an index on the user_id column.
|
Write a React hook for fetching data with caching
|
```typescript
import { useState, useEffect } from 'react';
const useFetch = (url: string) => {
const [data, setData] = useState(null);
const [loading, setLoading] = useState(true);
useEffect(() => {
const cache = localStorage.getItem(url);
if (cache) {
setData(JSON.parse(cache));
setLoading(false);
return;
}
fetch(url)
.then(res => res.json())
.then(data => {
localStorage.setItem(url, JSON.stringify(data));
setData(data);
setLoading(false);
});
}, [url]);
return { data, loading };
};
```
|
Search for nearby restaurants
|
{"function": "search_places", "parameters": {"type": "restaurant", "radius": "1km"}}
|
Call the weather API for New York
|
{"function": "get_weather", "parameters": {"city": "New York", "units": "celsius"}}
|
Optimize the database query for performance
|
Analyzing the query... I can see we need to add an index on the user_id column.
|
Write a React hook for fetching data with caching
|
```typescript
import { useState, useEffect } from 'react';
const useFetch = (url: string) => {
const [data, setData] = useState(null);
const [loading, setLoading] = useState(true);
useEffect(() => {
const cache = localStorage.getItem(url);
if (cache) {
setData(JSON.parse(cache));
setLoading(false);
return;
}
fetch(url)
.then(res => res.json())
.then(data => {
localStorage.setItem(url, JSON.stringify(data));
setData(data);
setLoading(false);
});
}, [url]);
return { data, loading };
};
```
|
Search for nearby restaurants
|
{"function": "search_places", "parameters": {"type": "restaurant", "radius": "1km"}}
|
Write a React hook for fetching data with caching
|
```typescript
import { useState, useEffect } from 'react';
const useFetch = (url: string) => {
const [data, setData] = useState(null);
const [loading, setLoading] = useState(true);
useEffect(() => {
const cache = localStorage.getItem(url);
if (cache) {
setData(JSON.parse(cache));
setLoading(false);
return;
}
fetch(url)
.then(res => res.json())
.then(data => {
localStorage.setItem(url, JSON.stringify(data));
setData(data);
setLoading(false);
});
}, [url]);
return { data, loading };
};
```
|
End of preview. Expand
in Data Studio
YAML Metadata
Warning:
empty or missing yaml metadata in repo card
(https://huggingface.co/docs/hub/datasets-cards)
GLM-4.7 REAP Calibration Dataset (1360 samples)
Mixed calibration dataset for GLM-4.7-REAP-218B W4A16 quantization.
Composition
- Code generation: 700 samples (evol-codealpaca-v1 style)
- Function calling: 330 samples (xlam-function-calling-60k style)
- Agentic trajectories: 330 samples (SWE-smith-trajectories style)
Usage
from datasets import load_dataset
dataset = load_dataset("0xSero/glm47-calibration-1360", split="train")
Purpose
Calibration dataset for AutoRound W4A16 quantization of GLM-4.7-REAP-218B-A32B. Matches Cerebras REAP calibration requirements.
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