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Pin DSPy to specific commit #384

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Oct 23, 2024
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Pin DSPy to specific commit #384

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cf2e210
Pin DSPy to specific commit
Oct 23, 2024
b248bfb
Remove 42 as set seed
Oct 23, 2024
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24 changes: 12 additions & 12 deletions templates/e2e-dspy-workflow/README.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -79,15 +79,15 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"import importlib.util\n",
"\n",
"if importlib.util.find_spec(\"dspy\") is None:\n",
" print(\"Installing dspy\")\n",
" !pip install git+https://github.com/stanfordnlp/dspy.git@main\n",
" !pip install git+https://github.com/stanfordnlp/dspy.git@40d5e0229a3abadd313ff9b857f40e638effae56\n",
"\n",
"else:\n",
" print(\"dspy is already installed\")\n",
Expand Down Expand Up @@ -159,16 +159,6 @@
"We will make use of a random number generator in this notebook to ensure that our notebook is reproducible."
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"from src import set_random_seed\n",
"rng = set_random_seed()"
]
},
{
"cell_type": "code",
"execution_count": 6,
Expand All @@ -191,6 +181,16 @@
"init_ray()"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"from src import set_random_seed\n",
"rng = set_random_seed()"
]
},
{
"cell_type": "markdown",
"metadata": {},
Expand Down
14 changes: 7 additions & 7 deletions templates/e2e-dspy-workflow/README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -57,7 +57,7 @@ import importlib.util

if importlib.util.find_spec("dspy") is None:
print("Installing dspy")
!pip install git+https://github.com/stanfordnlp/dspy.git@main
!pip install git+https://github.com/stanfordnlp/dspy.git@40d5e0229a3abadd313ff9b857f40e638effae56

else:
print("dspy is already installed")
Expand Down Expand Up @@ -107,12 +107,6 @@ os.environ["HF_TOKEN"] = "Add your HF token here"
We will make use of a random number generator in this notebook to ensure that our notebook is reproducible.


```python
from src import set_random_seed
rng = set_random_seed()
```


```python
from src import check_env_vars

Expand All @@ -126,6 +120,12 @@ from src import init_ray
init_ray()
```


```python
from src import set_random_seed
rng = set_random_seed()
```

# Dataset Preparation

We will be using the `PolyAI/banking77` dataset for this tutorial. We use the built in dspy DataLoader to load the dataset from Huggingface as a list of dspy.Example objects.
Expand Down
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