Tiny-OR1-Rust

10
3
1 language
license:apache-2.0
by
Daemontatox
Language Model
OTHER
New
10 downloads
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Quick Summary

A lightweight Rust code assistant model for code generation, completion, and explanation.

Code Examples

How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

# Load model and tokenizer
tokenizer = AutoTokenizer.from_pretrained("Daemontatox/Tiny-OR1-Rust")
model = AutoModelForCausalLM.from_pretrained("Daemontatox/Tiny-OR1-Rust")

# Example prompt
prompt = "Write a Rust function to calculate factorial:"

# Generate code
inputs = tokenizer.encode(prompt, return_tensors="pt")
outputs = model.generate(inputs, max_length=150, temperature=0.7, pad_token_id=tokenizer.eos_token_id)
generated_code = tokenizer.decode(outputs[0], skip_special_tokens=True)

print(generated_code)
How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

# Load model and tokenizer
tokenizer = AutoTokenizer.from_pretrained("Daemontatox/Tiny-OR1-Rust")
model = AutoModelForCausalLM.from_pretrained("Daemontatox/Tiny-OR1-Rust")

# Example prompt
prompt = "Write a Rust function to calculate factorial:"

# Generate code
inputs = tokenizer.encode(prompt, return_tensors="pt")
outputs = model.generate(inputs, max_length=150, temperature=0.7, pad_token_id=tokenizer.eos_token_id)
generated_code = tokenizer.decode(outputs[0], skip_special_tokens=True)

print(generated_code)
How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

# Load model and tokenizer
tokenizer = AutoTokenizer.from_pretrained("Daemontatox/Tiny-OR1-Rust")
model = AutoModelForCausalLM.from_pretrained("Daemontatox/Tiny-OR1-Rust")

# Example prompt
prompt = "Write a Rust function to calculate factorial:"

# Generate code
inputs = tokenizer.encode(prompt, return_tensors="pt")
outputs = model.generate(inputs, max_length=150, temperature=0.7, pad_token_id=tokenizer.eos_token_id)
generated_code = tokenizer.decode(outputs[0], skip_special_tokens=True)

print(generated_code)
How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

# Load model and tokenizer
tokenizer = AutoTokenizer.from_pretrained("Daemontatox/Tiny-OR1-Rust")
model = AutoModelForCausalLM.from_pretrained("Daemontatox/Tiny-OR1-Rust")

# Example prompt
prompt = "Write a Rust function to calculate factorial:"

# Generate code
inputs = tokenizer.encode(prompt, return_tensors="pt")
outputs = model.generate(inputs, max_length=150, temperature=0.7, pad_token_id=tokenizer.eos_token_id)
generated_code = tokenizer.decode(outputs[0], skip_special_tokens=True)

print(generated_code)
How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

# Load model and tokenizer
tokenizer = AutoTokenizer.from_pretrained("Daemontatox/Tiny-OR1-Rust")
model = AutoModelForCausalLM.from_pretrained("Daemontatox/Tiny-OR1-Rust")

# Example prompt
prompt = "Write a Rust function to calculate factorial:"

# Generate code
inputs = tokenizer.encode(prompt, return_tensors="pt")
outputs = model.generate(inputs, max_length=150, temperature=0.7, pad_token_id=tokenizer.eos_token_id)
generated_code = tokenizer.decode(outputs[0], skip_special_tokens=True)

print(generated_code)
How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

# Load model and tokenizer
tokenizer = AutoTokenizer.from_pretrained("Daemontatox/Tiny-OR1-Rust")
model = AutoModelForCausalLM.from_pretrained("Daemontatox/Tiny-OR1-Rust")

# Example prompt
prompt = "Write a Rust function to calculate factorial:"

# Generate code
inputs = tokenizer.encode(prompt, return_tensors="pt")
outputs = model.generate(inputs, max_length=150, temperature=0.7, pad_token_id=tokenizer.eos_token_id)
generated_code = tokenizer.decode(outputs[0], skip_special_tokens=True)

print(generated_code)
How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

# Load model and tokenizer
tokenizer = AutoTokenizer.from_pretrained("Daemontatox/Tiny-OR1-Rust")
model = AutoModelForCausalLM.from_pretrained("Daemontatox/Tiny-OR1-Rust")

# Example prompt
prompt = "Write a Rust function to calculate factorial:"

# Generate code
inputs = tokenizer.encode(prompt, return_tensors="pt")
outputs = model.generate(inputs, max_length=150, temperature=0.7, pad_token_id=tokenizer.eos_token_id)
generated_code = tokenizer.decode(outputs[0], skip_special_tokens=True)

print(generated_code)
How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

# Load model and tokenizer
tokenizer = AutoTokenizer.from_pretrained("Daemontatox/Tiny-OR1-Rust")
model = AutoModelForCausalLM.from_pretrained("Daemontatox/Tiny-OR1-Rust")

# Example prompt
prompt = "Write a Rust function to calculate factorial:"

# Generate code
inputs = tokenizer.encode(prompt, return_tensors="pt")
outputs = model.generate(inputs, max_length=150, temperature=0.7, pad_token_id=tokenizer.eos_token_id)
generated_code = tokenizer.decode(outputs[0], skip_special_tokens=True)

print(generated_code)
How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

# Load model and tokenizer
tokenizer = AutoTokenizer.from_pretrained("Daemontatox/Tiny-OR1-Rust")
model = AutoModelForCausalLM.from_pretrained("Daemontatox/Tiny-OR1-Rust")

# Example prompt
prompt = "Write a Rust function to calculate factorial:"

# Generate code
inputs = tokenizer.encode(prompt, return_tensors="pt")
outputs = model.generate(inputs, max_length=150, temperature=0.7, pad_token_id=tokenizer.eos_token_id)
generated_code = tokenizer.decode(outputs[0], skip_special_tokens=True)

print(generated_code)
How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

# Load model and tokenizer
tokenizer = AutoTokenizer.from_pretrained("Daemontatox/Tiny-OR1-Rust")
model = AutoModelForCausalLM.from_pretrained("Daemontatox/Tiny-OR1-Rust")

# Example prompt
prompt = "Write a Rust function to calculate factorial:"

# Generate code
inputs = tokenizer.encode(prompt, return_tensors="pt")
outputs = model.generate(inputs, max_length=150, temperature=0.7, pad_token_id=tokenizer.eos_token_id)
generated_code = tokenizer.decode(outputs[0], skip_special_tokens=True)

print(generated_code)
How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

# Load model and tokenizer
tokenizer = AutoTokenizer.from_pretrained("Daemontatox/Tiny-OR1-Rust")
model = AutoModelForCausalLM.from_pretrained("Daemontatox/Tiny-OR1-Rust")

# Example prompt
prompt = "Write a Rust function to calculate factorial:"

# Generate code
inputs = tokenizer.encode(prompt, return_tensors="pt")
outputs = model.generate(inputs, max_length=150, temperature=0.7, pad_token_id=tokenizer.eos_token_id)
generated_code = tokenizer.decode(outputs[0], skip_special_tokens=True)

print(generated_code)
How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

# Load model and tokenizer
tokenizer = AutoTokenizer.from_pretrained("Daemontatox/Tiny-OR1-Rust")
model = AutoModelForCausalLM.from_pretrained("Daemontatox/Tiny-OR1-Rust")

# Example prompt
prompt = "Write a Rust function to calculate factorial:"

# Generate code
inputs = tokenizer.encode(prompt, return_tensors="pt")
outputs = model.generate(inputs, max_length=150, temperature=0.7, pad_token_id=tokenizer.eos_token_id)
generated_code = tokenizer.decode(outputs[0], skip_special_tokens=True)

print(generated_code)
How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

# Load model and tokenizer
tokenizer = AutoTokenizer.from_pretrained("Daemontatox/Tiny-OR1-Rust")
model = AutoModelForCausalLM.from_pretrained("Daemontatox/Tiny-OR1-Rust")

# Example prompt
prompt = "Write a Rust function to calculate factorial:"

# Generate code
inputs = tokenizer.encode(prompt, return_tensors="pt")
outputs = model.generate(inputs, max_length=150, temperature=0.7, pad_token_id=tokenizer.eos_token_id)
generated_code = tokenizer.decode(outputs[0], skip_special_tokens=True)

print(generated_code)
How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

# Load model and tokenizer
tokenizer = AutoTokenizer.from_pretrained("Daemontatox/Tiny-OR1-Rust")
model = AutoModelForCausalLM.from_pretrained("Daemontatox/Tiny-OR1-Rust")

# Example prompt
prompt = "Write a Rust function to calculate factorial:"

# Generate code
inputs = tokenizer.encode(prompt, return_tensors="pt")
outputs = model.generate(inputs, max_length=150, temperature=0.7, pad_token_id=tokenizer.eos_token_id)
generated_code = tokenizer.decode(outputs[0], skip_special_tokens=True)

print(generated_code)
How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

# Load model and tokenizer
tokenizer = AutoTokenizer.from_pretrained("Daemontatox/Tiny-OR1-Rust")
model = AutoModelForCausalLM.from_pretrained("Daemontatox/Tiny-OR1-Rust")

# Example prompt
prompt = "Write a Rust function to calculate factorial:"

# Generate code
inputs = tokenizer.encode(prompt, return_tensors="pt")
outputs = model.generate(inputs, max_length=150, temperature=0.7, pad_token_id=tokenizer.eos_token_id)
generated_code = tokenizer.decode(outputs[0], skip_special_tokens=True)

print(generated_code)
How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

# Load model and tokenizer
tokenizer = AutoTokenizer.from_pretrained("Daemontatox/Tiny-OR1-Rust")
model = AutoModelForCausalLM.from_pretrained("Daemontatox/Tiny-OR1-Rust")

# Example prompt
prompt = "Write a Rust function to calculate factorial:"

# Generate code
inputs = tokenizer.encode(prompt, return_tensors="pt")
outputs = model.generate(inputs, max_length=150, temperature=0.7, pad_token_id=tokenizer.eos_token_id)
generated_code = tokenizer.decode(outputs[0], skip_special_tokens=True)

print(generated_code)
How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

# Load model and tokenizer
tokenizer = AutoTokenizer.from_pretrained("Daemontatox/Tiny-OR1-Rust")
model = AutoModelForCausalLM.from_pretrained("Daemontatox/Tiny-OR1-Rust")

# Example prompt
prompt = "Write a Rust function to calculate factorial:"

# Generate code
inputs = tokenizer.encode(prompt, return_tensors="pt")
outputs = model.generate(inputs, max_length=150, temperature=0.7, pad_token_id=tokenizer.eos_token_id)
generated_code = tokenizer.decode(outputs[0], skip_special_tokens=True)

print(generated_code)
How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

# Load model and tokenizer
tokenizer = AutoTokenizer.from_pretrained("Daemontatox/Tiny-OR1-Rust")
model = AutoModelForCausalLM.from_pretrained("Daemontatox/Tiny-OR1-Rust")

# Example prompt
prompt = "Write a Rust function to calculate factorial:"

# Generate code
inputs = tokenizer.encode(prompt, return_tensors="pt")
outputs = model.generate(inputs, max_length=150, temperature=0.7, pad_token_id=tokenizer.eos_token_id)
generated_code = tokenizer.decode(outputs[0], skip_special_tokens=True)

print(generated_code)
How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

# Load model and tokenizer
tokenizer = AutoTokenizer.from_pretrained("Daemontatox/Tiny-OR1-Rust")
model = AutoModelForCausalLM.from_pretrained("Daemontatox/Tiny-OR1-Rust")

# Example prompt
prompt = "Write a Rust function to calculate factorial:"

# Generate code
inputs = tokenizer.encode(prompt, return_tensors="pt")
outputs = model.generate(inputs, max_length=150, temperature=0.7, pad_token_id=tokenizer.eos_token_id)
generated_code = tokenizer.decode(outputs[0], skip_special_tokens=True)

print(generated_code)
How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

# Load model and tokenizer
tokenizer = AutoTokenizer.from_pretrained("Daemontatox/Tiny-OR1-Rust")
model = AutoModelForCausalLM.from_pretrained("Daemontatox/Tiny-OR1-Rust")

# Example prompt
prompt = "Write a Rust function to calculate factorial:"

# Generate code
inputs = tokenizer.encode(prompt, return_tensors="pt")
outputs = model.generate(inputs, max_length=150, temperature=0.7, pad_token_id=tokenizer.eos_token_id)
generated_code = tokenizer.decode(outputs[0], skip_special_tokens=True)

print(generated_code)
How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

# Load model and tokenizer
tokenizer = AutoTokenizer.from_pretrained("Daemontatox/Tiny-OR1-Rust")
model = AutoModelForCausalLM.from_pretrained("Daemontatox/Tiny-OR1-Rust")

# Example prompt
prompt = "Write a Rust function to calculate factorial:"

# Generate code
inputs = tokenizer.encode(prompt, return_tensors="pt")
outputs = model.generate(inputs, max_length=150, temperature=0.7, pad_token_id=tokenizer.eos_token_id)
generated_code = tokenizer.decode(outputs[0], skip_special_tokens=True)

print(generated_code)
How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

# Load model and tokenizer
tokenizer = AutoTokenizer.from_pretrained("Daemontatox/Tiny-OR1-Rust")
model = AutoModelForCausalLM.from_pretrained("Daemontatox/Tiny-OR1-Rust")

# Example prompt
prompt = "Write a Rust function to calculate factorial:"

# Generate code
inputs = tokenizer.encode(prompt, return_tensors="pt")
outputs = model.generate(inputs, max_length=150, temperature=0.7, pad_token_id=tokenizer.eos_token_id)
generated_code = tokenizer.decode(outputs[0], skip_special_tokens=True)

print(generated_code)
How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

# Load model and tokenizer
tokenizer = AutoTokenizer.from_pretrained("Daemontatox/Tiny-OR1-Rust")
model = AutoModelForCausalLM.from_pretrained("Daemontatox/Tiny-OR1-Rust")

# Example prompt
prompt = "Write a Rust function to calculate factorial:"

# Generate code
inputs = tokenizer.encode(prompt, return_tensors="pt")
outputs = model.generate(inputs, max_length=150, temperature=0.7, pad_token_id=tokenizer.eos_token_id)
generated_code = tokenizer.decode(outputs[0], skip_special_tokens=True)

print(generated_code)
How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

# Load model and tokenizer
tokenizer = AutoTokenizer.from_pretrained("Daemontatox/Tiny-OR1-Rust")
model = AutoModelForCausalLM.from_pretrained("Daemontatox/Tiny-OR1-Rust")

# Example prompt
prompt = "Write a Rust function to calculate factorial:"

# Generate code
inputs = tokenizer.encode(prompt, return_tensors="pt")
outputs = model.generate(inputs, max_length=150, temperature=0.7, pad_token_id=tokenizer.eos_token_id)
generated_code = tokenizer.decode(outputs[0], skip_special_tokens=True)

print(generated_code)
How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

# Load model and tokenizer
tokenizer = AutoTokenizer.from_pretrained("Daemontatox/Tiny-OR1-Rust")
model = AutoModelForCausalLM.from_pretrained("Daemontatox/Tiny-OR1-Rust")

# Example prompt
prompt = "Write a Rust function to calculate factorial:"

# Generate code
inputs = tokenizer.encode(prompt, return_tensors="pt")
outputs = model.generate(inputs, max_length=150, temperature=0.7, pad_token_id=tokenizer.eos_token_id)
generated_code = tokenizer.decode(outputs[0], skip_special_tokens=True)

print(generated_code)
How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

# Load model and tokenizer
tokenizer = AutoTokenizer.from_pretrained("Daemontatox/Tiny-OR1-Rust")
model = AutoModelForCausalLM.from_pretrained("Daemontatox/Tiny-OR1-Rust")

# Example prompt
prompt = "Write a Rust function to calculate factorial:"

# Generate code
inputs = tokenizer.encode(prompt, return_tensors="pt")
outputs = model.generate(inputs, max_length=150, temperature=0.7, pad_token_id=tokenizer.eos_token_id)
generated_code = tokenizer.decode(outputs[0], skip_special_tokens=True)

print(generated_code)
How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

# Load model and tokenizer
tokenizer = AutoTokenizer.from_pretrained("Daemontatox/Tiny-OR1-Rust")
model = AutoModelForCausalLM.from_pretrained("Daemontatox/Tiny-OR1-Rust")

# Example prompt
prompt = "Write a Rust function to calculate factorial:"

# Generate code
inputs = tokenizer.encode(prompt, return_tensors="pt")
outputs = model.generate(inputs, max_length=150, temperature=0.7, pad_token_id=tokenizer.eos_token_id)
generated_code = tokenizer.decode(outputs[0], skip_special_tokens=True)

print(generated_code)
How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

# Load model and tokenizer
tokenizer = AutoTokenizer.from_pretrained("Daemontatox/Tiny-OR1-Rust")
model = AutoModelForCausalLM.from_pretrained("Daemontatox/Tiny-OR1-Rust")

# Example prompt
prompt = "Write a Rust function to calculate factorial:"

# Generate code
inputs = tokenizer.encode(prompt, return_tensors="pt")
outputs = model.generate(inputs, max_length=150, temperature=0.7, pad_token_id=tokenizer.eos_token_id)
generated_code = tokenizer.decode(outputs[0], skip_special_tokens=True)

print(generated_code)
How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

# Load model and tokenizer
tokenizer = AutoTokenizer.from_pretrained("Daemontatox/Tiny-OR1-Rust")
model = AutoModelForCausalLM.from_pretrained("Daemontatox/Tiny-OR1-Rust")

# Example prompt
prompt = "Write a Rust function to calculate factorial:"

# Generate code
inputs = tokenizer.encode(prompt, return_tensors="pt")
outputs = model.generate(inputs, max_length=150, temperature=0.7, pad_token_id=tokenizer.eos_token_id)
generated_code = tokenizer.decode(outputs[0], skip_special_tokens=True)

print(generated_code)
How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

# Load model and tokenizer
tokenizer = AutoTokenizer.from_pretrained("Daemontatox/Tiny-OR1-Rust")
model = AutoModelForCausalLM.from_pretrained("Daemontatox/Tiny-OR1-Rust")

# Example prompt
prompt = "Write a Rust function to calculate factorial:"

# Generate code
inputs = tokenizer.encode(prompt, return_tensors="pt")
outputs = model.generate(inputs, max_length=150, temperature=0.7, pad_token_id=tokenizer.eos_token_id)
generated_code = tokenizer.decode(outputs[0], skip_special_tokens=True)

print(generated_code)
How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

# Load model and tokenizer
tokenizer = AutoTokenizer.from_pretrained("Daemontatox/Tiny-OR1-Rust")
model = AutoModelForCausalLM.from_pretrained("Daemontatox/Tiny-OR1-Rust")

# Example prompt
prompt = "Write a Rust function to calculate factorial:"

# Generate code
inputs = tokenizer.encode(prompt, return_tensors="pt")
outputs = model.generate(inputs, max_length=150, temperature=0.7, pad_token_id=tokenizer.eos_token_id)
generated_code = tokenizer.decode(outputs[0], skip_special_tokens=True)

print(generated_code)
How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

# Load model and tokenizer
tokenizer = AutoTokenizer.from_pretrained("Daemontatox/Tiny-OR1-Rust")
model = AutoModelForCausalLM.from_pretrained("Daemontatox/Tiny-OR1-Rust")

# Example prompt
prompt = "Write a Rust function to calculate factorial:"

# Generate code
inputs = tokenizer.encode(prompt, return_tensors="pt")
outputs = model.generate(inputs, max_length=150, temperature=0.7, pad_token_id=tokenizer.eos_token_id)
generated_code = tokenizer.decode(outputs[0], skip_special_tokens=True)

print(generated_code)
How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

# Load model and tokenizer
tokenizer = AutoTokenizer.from_pretrained("Daemontatox/Tiny-OR1-Rust")
model = AutoModelForCausalLM.from_pretrained("Daemontatox/Tiny-OR1-Rust")

# Example prompt
prompt = "Write a Rust function to calculate factorial:"

# Generate code
inputs = tokenizer.encode(prompt, return_tensors="pt")
outputs = model.generate(inputs, max_length=150, temperature=0.7, pad_token_id=tokenizer.eos_token_id)
generated_code = tokenizer.decode(outputs[0], skip_special_tokens=True)

print(generated_code)
How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

# Load model and tokenizer
tokenizer = AutoTokenizer.from_pretrained("Daemontatox/Tiny-OR1-Rust")
model = AutoModelForCausalLM.from_pretrained("Daemontatox/Tiny-OR1-Rust")

# Example prompt
prompt = "Write a Rust function to calculate factorial:"

# Generate code
inputs = tokenizer.encode(prompt, return_tensors="pt")
outputs = model.generate(inputs, max_length=150, temperature=0.7, pad_token_id=tokenizer.eos_token_id)
generated_code = tokenizer.decode(outputs[0], skip_special_tokens=True)

print(generated_code)
Prompt Examplestext
"Write a Rust function that reads a file and counts the number of lines:"
"Create a Rust struct for a binary tree with insert and search methods:"
"Implement a thread-safe counter using Arc and Mutex in Rust:"
Prompt Examplestext
"Write a Rust function that reads a file and counts the number of lines:"
"Create a Rust struct for a binary tree with insert and search methods:"
"Implement a thread-safe counter using Arc and Mutex in Rust:"
Prompt Examplestext
"Write a Rust function that reads a file and counts the number of lines:"
"Create a Rust struct for a binary tree with insert and search methods:"
"Implement a thread-safe counter using Arc and Mutex in Rust:"
Prompt Examplestext
"Write a Rust function that reads a file and counts the number of lines:"
"Create a Rust struct for a binary tree with insert and search methods:"
"Implement a thread-safe counter using Arc and Mutex in Rust:"
Prompt Examplestext
"Write a Rust function that reads a file and counts the number of lines:"
"Create a Rust struct for a binary tree with insert and search methods:"
"Implement a thread-safe counter using Arc and Mutex in Rust:"
Prompt Examplestext
"Write a Rust function that reads a file and counts the number of lines:"
"Create a Rust struct for a binary tree with insert and search methods:"
"Implement a thread-safe counter using Arc and Mutex in Rust:"
Prompt Examplestext
"Write a Rust function that reads a file and counts the number of lines:"
"Create a Rust struct for a binary tree with insert and search methods:"
"Implement a thread-safe counter using Arc and Mutex in Rust:"
Prompt Examplestext
"Write a Rust function that reads a file and counts the number of lines:"
"Create a Rust struct for a binary tree with insert and search methods:"
"Implement a thread-safe counter using Arc and Mutex in Rust:"
Prompt Examplestext
"Write a Rust function that reads a file and counts the number of lines:"
"Create a Rust struct for a binary tree with insert and search methods:"
"Implement a thread-safe counter using Arc and Mutex in Rust:"
Prompt Examplestext
"Write a Rust function that reads a file and counts the number of lines:"
"Create a Rust struct for a binary tree with insert and search methods:"
"Implement a thread-safe counter using Arc and Mutex in Rust:"
Prompt Examplestext
"Write a Rust function that reads a file and counts the number of lines:"
"Create a Rust struct for a binary tree with insert and search methods:"
"Implement a thread-safe counter using Arc and Mutex in Rust:"
Prompt Examplestext
"Write a Rust function that reads a file and counts the number of lines:"
"Create a Rust struct for a binary tree with insert and search methods:"
"Implement a thread-safe counter using Arc and Mutex in Rust:"
Prompt Examplestext
"Write a Rust function that reads a file and counts the number of lines:"
"Create a Rust struct for a binary tree with insert and search methods:"
"Implement a thread-safe counter using Arc and Mutex in Rust:"
Prompt Examplestext
"Write a Rust function that reads a file and counts the number of lines:"
"Create a Rust struct for a binary tree with insert and search methods:"
"Implement a thread-safe counter using Arc and Mutex in Rust:"
Prompt Examplestext
"Write a Rust function that reads a file and counts the number of lines:"
"Create a Rust struct for a binary tree with insert and search methods:"
"Implement a thread-safe counter using Arc and Mutex in Rust:"
Prompt Examplestext
"Write a Rust function that reads a file and counts the number of lines:"
"Create a Rust struct for a binary tree with insert and search methods:"
"Implement a thread-safe counter using Arc and Mutex in Rust:"
Prompt Examplestext
"Write a Rust function that reads a file and counts the number of lines:"
"Create a Rust struct for a binary tree with insert and search methods:"
"Implement a thread-safe counter using Arc and Mutex in Rust:"
Prompt Examplestext
"Write a Rust function that reads a file and counts the number of lines:"
"Create a Rust struct for a binary tree with insert and search methods:"
"Implement a thread-safe counter using Arc and Mutex in Rust:"
Prompt Examplestext
"Write a Rust function that reads a file and counts the number of lines:"
"Create a Rust struct for a binary tree with insert and search methods:"
"Implement a thread-safe counter using Arc and Mutex in Rust:"
Prompt Examplestext
"Write a Rust function that reads a file and counts the number of lines:"
"Create a Rust struct for a binary tree with insert and search methods:"
"Implement a thread-safe counter using Arc and Mutex in Rust:"
Prompt Examplestext
"Write a Rust function that reads a file and counts the number of lines:"
"Create a Rust struct for a binary tree with insert and search methods:"
"Implement a thread-safe counter using Arc and Mutex in Rust:"
Prompt Examplestext
"Write a Rust function that reads a file and counts the number of lines:"
"Create a Rust struct for a binary tree with insert and search methods:"
"Implement a thread-safe counter using Arc and Mutex in Rust:"
Prompt Examplestext
"Write a Rust function that reads a file and counts the number of lines:"
"Create a Rust struct for a binary tree with insert and search methods:"
"Implement a thread-safe counter using Arc and Mutex in Rust:"
Prompt Examplestext
"Write a Rust function that reads a file and counts the number of lines:"
"Create a Rust struct for a binary tree with insert and search methods:"
"Implement a thread-safe counter using Arc and Mutex in Rust:"
Prompt Examplestext
"Write a Rust function that reads a file and counts the number of lines:"
"Create a Rust struct for a binary tree with insert and search methods:"
"Implement a thread-safe counter using Arc and Mutex in Rust:"
Prompt Examplestext
"Write a Rust function that reads a file and counts the number of lines:"
"Create a Rust struct for a binary tree with insert and search methods:"
"Implement a thread-safe counter using Arc and Mutex in Rust:"
Prompt Examplestext
"Write a Rust function that reads a file and counts the number of lines:"
"Create a Rust struct for a binary tree with insert and search methods:"
"Implement a thread-safe counter using Arc and Mutex in Rust:"
Prompt Examplestext
"Write a Rust function that reads a file and counts the number of lines:"
"Create a Rust struct for a binary tree with insert and search methods:"
"Implement a thread-safe counter using Arc and Mutex in Rust:"
Prompt Examplestext
"Write a Rust function that reads a file and counts the number of lines:"
"Create a Rust struct for a binary tree with insert and search methods:"
"Implement a thread-safe counter using Arc and Mutex in Rust:"
Prompt Examplestext
"Write a Rust function that reads a file and counts the number of lines:"
"Create a Rust struct for a binary tree with insert and search methods:"
"Implement a thread-safe counter using Arc and Mutex in Rust:"
Prompt Examplestext
"Write a Rust function that reads a file and counts the number of lines:"
"Create a Rust struct for a binary tree with insert and search methods:"
"Implement a thread-safe counter using Arc and Mutex in Rust:"
Prompt Examplestext
"Write a Rust function that reads a file and counts the number of lines:"
"Create a Rust struct for a binary tree with insert and search methods:"
"Implement a thread-safe counter using Arc and Mutex in Rust:"
Prompt Examplestext
"Write a Rust function that reads a file and counts the number of lines:"
"Create a Rust struct for a binary tree with insert and search methods:"
"Implement a thread-safe counter using Arc and Mutex in Rust:"
Prompt Examplestext
"Write a Rust function that reads a file and counts the number of lines:"
"Create a Rust struct for a binary tree with insert and search methods:"
"Implement a thread-safe counter using Arc and Mutex in Rust:"

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