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5bfd72a50dac5ff819de892874fd69ba27ccd7a5
mikaylakonst/spoonacular-api-clients
python/spoonacular/com/spoonacular/default_api.py
[ "MIT" ]
Python
talk_to_chatbot
<not_specific>
def talk_to_chatbot(self, text, **kwargs): # noqa: E501 """Talk to Chatbot # noqa: E501 This endpoint can be used to have a conversation about food with the spoonacular chatbot. Use the \"Get Conversation Suggests\" endpoint to show your user what he or she can say. # noqa: E501 This method ...
Talk to Chatbot # noqa: E501 This endpoint can be used to have a conversation about food with the spoonacular chatbot. Use the \"Get Conversation Suggests\" endpoint to show your user what he or she can say. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asyn...
Talk to Chatbot # noqa: E501 This endpoint can be used to have a conversation about food with the spoonacular chatbot. Use the \"Get Conversation Suggests\" endpoint to show your user what he or she can say. # noqa: E501 This method makes a synchronous HTTP request by default. :param async_req bool :param str text: ...
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def talk_to_chatbot(self, text, **kwargs): """Talk to Chatbot This endpoint can be used to have a conversation about food with the spoonacular chatbot. Use the \"Get Conversation Suggests\" endpoint to show your user what he or she can say. This method makes a synchronous HTTP request by d...
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Talk to Chatbot # noqa: E501 This endpoint can be used to have a conversation about food with the spoonacular chatbot.
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5bfd72a50dac5ff819de892874fd69ba27ccd7a5
mikaylakonst/spoonacular-api-clients
python/spoonacular/com/spoonacular/default_api.py
[ "MIT" ]
Python
talk_to_chatbot_with_http_info
<not_specific>
def talk_to_chatbot_with_http_info(self, text, **kwargs): # noqa: E501 """Talk to Chatbot # noqa: E501 This endpoint can be used to have a conversation about food with the spoonacular chatbot. Use the \"Get Conversation Suggests\" endpoint to show your user what he or she can say. # noqa: E501 ...
Talk to Chatbot # noqa: E501 This endpoint can be used to have a conversation about food with the spoonacular chatbot. Use the \"Get Conversation Suggests\" endpoint to show your user what he or she can say. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asyn...
Talk to Chatbot # noqa: E501 This endpoint can be used to have a conversation about food with the spoonacular chatbot. Use the \"Get Conversation Suggests\" endpoint to show your user what he or she can say. # noqa: E501 This method makes a synchronous HTTP request by default. :param async_req bool :param str text: ...
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def talk_to_chatbot_with_http_info(self, text, **kwargs): """Talk to Chatbot This endpoint can be used to have a conversation about food with the spoonacular chatbot. Use the \"Get Conversation Suggests\" endpoint to show your user what he or she can say. This method makes a synchronous HT...
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Talk to Chatbot # noqa: E501 This endpoint can be used to have a conversation about food with the spoonacular chatbot.
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[ "# noqa: E501", "\"\"\"Talk to Chatbot # noqa: E501\n\n This endpoint can be used to have a conversation about food with the spoonacular chatbot. Use the \\\"Get Conversation Suggests\\\" endpoint to show your user what he or she can say. # noqa: E501\n This method makes a synchronous HTTP request...
[ { "param": "self", "type": null }, { "param": "text", "type": null } ]
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5bfd72a50dac5ff819de892874fd69ba27ccd7a5
mikaylakonst/spoonacular-api-clients
python/spoonacular/com/spoonacular/default_api.py
[ "MIT" ]
Python
visualize_equipment
<not_specific>
def visualize_equipment(self, instructions, **kwargs): # noqa: E501 """Visualize Equipment # noqa: E501 Visualize the equipment used to make a recipe. You can play around with that endpoint! # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous...
Visualize Equipment # noqa: E501 Visualize the equipment used to make a recipe. You can play around with that endpoint! # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.visualize_equ...
Visualize Equipment # noqa: E501 Visualize the equipment used to make a recipe. You can play around with that endpoint. # noqa: E501 This method makes a synchronous HTTP request by default. :param async_req bool :param str instructions: The recipe's instructions.
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def visualize_equipment(self, instructions, **kwargs): """Visualize Equipment Visualize the equipment used to make a recipe. You can play around with that endpoint! This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=...
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Visualize Equipment # noqa: E501 Visualize the equipment used to make a recipe.
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[ "# noqa: E501", "\"\"\"Visualize Equipment # noqa: E501\n\n Visualize the equipment used to make a recipe. You can play around with that endpoint! # noqa: E501\n This method makes a synchronous HTTP request by default. To make an\n asynchronous HTTP request, please pass async_req=True\n ...
[ { "param": "self", "type": null }, { "param": "instructions", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "instructions", "type": null, "docstring": null, "docstring_to...
5bfd72a50dac5ff819de892874fd69ba27ccd7a5
mikaylakonst/spoonacular-api-clients
python/spoonacular/com/spoonacular/default_api.py
[ "MIT" ]
Python
visualize_equipment_with_http_info
<not_specific>
def visualize_equipment_with_http_info(self, instructions, **kwargs): # noqa: E501 """Visualize Equipment # noqa: E501 Visualize the equipment used to make a recipe. You can play around with that endpoint! # noqa: E501 This method makes a synchronous HTTP request by default. To make an ...
Visualize Equipment # noqa: E501 Visualize the equipment used to make a recipe. You can play around with that endpoint! # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.visualize_equ...
Visualize Equipment # noqa: E501 Visualize the equipment used to make a recipe. You can play around with that endpoint. # noqa: E501 This method makes a synchronous HTTP request by default. :param async_req bool :param str instructions: The recipe's instructions.
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def visualize_equipment_with_http_info(self, instructions, **kwargs): """Visualize Equipment Visualize the equipment used to make a recipe. You can play around with that endpoint! This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please ...
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Visualize Equipment # noqa: E501 Visualize the equipment used to make a recipe.
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[ { "param": "self", "type": null }, { "param": "instructions", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "instructions", "type": null, "docstring": null, "docstring_to...
5bfd72a50dac5ff819de892874fd69ba27ccd7a5
mikaylakonst/spoonacular-api-clients
python/spoonacular/com/spoonacular/default_api.py
[ "MIT" ]
Python
visualize_ingredients
<not_specific>
def visualize_ingredients(self, ingredient_list, servings, **kwargs): # noqa: E501 """Visualize Ingredients # noqa: E501 Visualize ingredients of a recipe. You can play around with that endpoint! # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchr...
Visualize Ingredients # noqa: E501 Visualize ingredients of a recipe. You can play around with that endpoint! # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.visualize_ingredients(i...
Visualize Ingredients # noqa: E501 Visualize ingredients of a recipe. You can play around with that endpoint. # noqa: E501 This method makes a synchronous HTTP request by default. :param async_req bool :param str ingredient_list: The ingredient list of the recipe, one ingredient per line. (required) :param float ser...
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def visualize_ingredients(self, ingredient_list, servings, **kwargs): """Visualize Ingredients Visualize ingredients of a recipe. You can play around with that endpoint! This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async...
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Visualize Ingredients # noqa: E501 Visualize ingredients of a recipe.
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[ { "param": "self", "type": null }, { "param": "ingredient_list", "type": null }, { "param": "servings", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "ingredient_list", "type": null, "docstring": null, "docstring...
5bfd72a50dac5ff819de892874fd69ba27ccd7a5
mikaylakonst/spoonacular-api-clients
python/spoonacular/com/spoonacular/default_api.py
[ "MIT" ]
Python
visualize_ingredients_with_http_info
<not_specific>
def visualize_ingredients_with_http_info(self, ingredient_list, servings, **kwargs): # noqa: E501 """Visualize Ingredients # noqa: E501 Visualize ingredients of a recipe. You can play around with that endpoint! # noqa: E501 This method makes a synchronous HTTP request by default. To make an ...
Visualize Ingredients # noqa: E501 Visualize ingredients of a recipe. You can play around with that endpoint! # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.visualize_ingredients_w...
Visualize Ingredients # noqa: E501 Visualize ingredients of a recipe. You can play around with that endpoint. # noqa: E501 This method makes a synchronous HTTP request by default. :param async_req bool :param str ingredient_list: The ingredient list of the recipe, one ingredient per line. (required) :param float ser...
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def visualize_ingredients_with_http_info(self, ingredient_list, servings, **kwargs): """Visualize Ingredients Visualize ingredients of a recipe. You can play around with that endpoint! This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, pl...
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Visualize Ingredients # noqa: E501 Visualize ingredients of a recipe.
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[ { "param": "self", "type": null }, { "param": "ingredient_list", "type": null }, { "param": "servings", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "ingredient_list", "type": null, "docstring": null, "docstring...
5bfd72a50dac5ff819de892874fd69ba27ccd7a5
mikaylakonst/spoonacular-api-clients
python/spoonacular/com/spoonacular/default_api.py
[ "MIT" ]
Python
visualize_menu_item_nutrition_by_id
<not_specific>
def visualize_menu_item_nutrition_by_id(self, id, **kwargs): # noqa: E501 """Visualize Menu Item Nutrition by ID # noqa: E501 Visualize a menu item's nutritional information as HTML including CSS. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynch...
Visualize Menu Item Nutrition by ID # noqa: E501 Visualize a menu item's nutritional information as HTML including CSS. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.visualize_men...
Visualize Menu Item Nutrition by ID # noqa: E501 Visualize a menu item's nutritional information as HTML including CSS. # noqa: E501 This method makes a synchronous HTTP request by default. :param async_req bool :param float id: The menu item id. (required) :param bool default_css: Whether the default CSS should be ...
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def visualize_menu_item_nutrition_by_id(self, id, **kwargs): """Visualize Menu Item Nutrition by ID Visualize a menu item's nutritional information as HTML including CSS. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass asyn...
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Visualize Menu Item Nutrition by ID # noqa: E501 Visualize a menu item's nutritional information as HTML including CSS.
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[ { "param": "self", "type": null }, { "param": "id", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "id", "type": null, "docstring": null, "docstring_tokens": [],...
5bfd72a50dac5ff819de892874fd69ba27ccd7a5
mikaylakonst/spoonacular-api-clients
python/spoonacular/com/spoonacular/default_api.py
[ "MIT" ]
Python
visualize_menu_item_nutrition_by_id_with_http_info
<not_specific>
def visualize_menu_item_nutrition_by_id_with_http_info(self, id, **kwargs): # noqa: E501 """Visualize Menu Item Nutrition by ID # noqa: E501 Visualize a menu item's nutritional information as HTML including CSS. # noqa: E501 This method makes a synchronous HTTP request by default. To make an...
Visualize Menu Item Nutrition by ID # noqa: E501 Visualize a menu item's nutritional information as HTML including CSS. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.visualize_men...
Visualize Menu Item Nutrition by ID # noqa: E501 Visualize a menu item's nutritional information as HTML including CSS. # noqa: E501 This method makes a synchronous HTTP request by default. :param async_req bool :param float id: The menu item id. (required) :param bool default_css: Whether the default CSS should be ...
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def visualize_menu_item_nutrition_by_id_with_http_info(self, id, **kwargs): """Visualize Menu Item Nutrition by ID Visualize a menu item's nutritional information as HTML including CSS. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, p...
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Visualize Menu Item Nutrition by ID # noqa: E501 Visualize a menu item's nutritional information as HTML including CSS.
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[ { "param": "self", "type": null }, { "param": "id", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "id", "type": null, "docstring": null, "docstring_tokens": [],...
5bfd72a50dac5ff819de892874fd69ba27ccd7a5
mikaylakonst/spoonacular-api-clients
python/spoonacular/com/spoonacular/default_api.py
[ "MIT" ]
Python
visualize_price_breakdown
<not_specific>
def visualize_price_breakdown(self, ingredient_list, servings, **kwargs): # noqa: E501 """Visualize Price Breakdown # noqa: E501 Visualize the price breakdown of a recipe. You can play around with that endpoint! # noqa: E501 This method makes a synchronous HTTP request by default. To make an...
Visualize Price Breakdown # noqa: E501 Visualize the price breakdown of a recipe. You can play around with that endpoint! # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.visualize_p...
Visualize Price Breakdown # noqa: E501 Visualize the price breakdown of a recipe. You can play around with that endpoint. # noqa: E501 This method makes a synchronous HTTP request by default. :param async_req bool :param str ingredient_list: The ingredient list of the recipe, one ingredient per line. (required) :par...
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def visualize_price_breakdown(self, ingredient_list, servings, **kwargs): """Visualize Price Breakdown Visualize the price breakdown of a recipe. You can play around with that endpoint! This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, p...
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Visualize Price Breakdown # noqa: E501 Visualize the price breakdown of a recipe.
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[ { "param": "self", "type": null }, { "param": "ingredient_list", "type": null }, { "param": "servings", "type": null } ]
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5bfd72a50dac5ff819de892874fd69ba27ccd7a5
mikaylakonst/spoonacular-api-clients
python/spoonacular/com/spoonacular/default_api.py
[ "MIT" ]
Python
visualize_price_breakdown_with_http_info
<not_specific>
def visualize_price_breakdown_with_http_info(self, ingredient_list, servings, **kwargs): # noqa: E501 """Visualize Price Breakdown # noqa: E501 Visualize the price breakdown of a recipe. You can play around with that endpoint! # noqa: E501 This method makes a synchronous HTTP request by defa...
Visualize Price Breakdown # noqa: E501 Visualize the price breakdown of a recipe. You can play around with that endpoint! # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.visualize_p...
Visualize Price Breakdown # noqa: E501 Visualize the price breakdown of a recipe. You can play around with that endpoint. # noqa: E501 This method makes a synchronous HTTP request by default. :param async_req bool :param str ingredient_list: The ingredient list of the recipe, one ingredient per line. (required) :par...
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def visualize_price_breakdown_with_http_info(self, ingredient_list, servings, **kwargs): """Visualize Price Breakdown Visualize the price breakdown of a recipe. You can play around with that endpoint! This method makes a synchronous HTTP request by default. To make an asynchronous ...
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Visualize Price Breakdown # noqa: E501 Visualize the price breakdown of a recipe.
[ "Visualize", "Price", "Breakdown", "#", "noqa", ":", "E501", "Visualize", "the", "price", "breakdown", "of", "a", "recipe", "." ]
[ "# noqa: E501", "\"\"\"Visualize Price Breakdown # noqa: E501\n\n Visualize the price breakdown of a recipe. You can play around with that endpoint! # noqa: E501\n This method makes a synchronous HTTP request by default. To make an\n asynchronous HTTP request, please pass async_req=True\n ...
[ { "param": "self", "type": null }, { "param": "ingredient_list", "type": null }, { "param": "servings", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "ingredient_list", "type": null, "docstring": null, "docstring...
5bfd72a50dac5ff819de892874fd69ba27ccd7a5
mikaylakonst/spoonacular-api-clients
python/spoonacular/com/spoonacular/default_api.py
[ "MIT" ]
Python
visualize_product_nutrition_by_id
<not_specific>
def visualize_product_nutrition_by_id(self, id, **kwargs): # noqa: E501 """Visualize Product Nutrition by ID # noqa: E501 Visualize a product's nutritional information as HTML including CSS. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous...
Visualize Product Nutrition by ID # noqa: E501 Visualize a product's nutritional information as HTML including CSS. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.visualize_product...
Visualize Product Nutrition by ID # noqa: E501 Visualize a product's nutritional information as HTML including CSS. # noqa: E501 This method makes a synchronous HTTP request by default. :param async_req bool :param float id: The id of the product. (required) :param bool default_css: Whether the default CSS should be...
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def visualize_product_nutrition_by_id(self, id, **kwargs): """Visualize Product Nutrition by ID Visualize a product's nutritional information as HTML including CSS. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=...
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Visualize Product Nutrition by ID # noqa: E501 Visualize a product's nutritional information as HTML including CSS.
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[ "# noqa: E501", "\"\"\"Visualize Product Nutrition by ID # noqa: E501\n\n Visualize a product's nutritional information as HTML including CSS. # noqa: E501\n This method makes a synchronous HTTP request by default. To make an\n asynchronous HTTP request, please pass async_req=True\n ...
[ { "param": "self", "type": null }, { "param": "id", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "id", "type": null, "docstring": null, "docstring_tokens": [],...
5bfd72a50dac5ff819de892874fd69ba27ccd7a5
mikaylakonst/spoonacular-api-clients
python/spoonacular/com/spoonacular/default_api.py
[ "MIT" ]
Python
visualize_product_nutrition_by_id_with_http_info
<not_specific>
def visualize_product_nutrition_by_id_with_http_info(self, id, **kwargs): # noqa: E501 """Visualize Product Nutrition by ID # noqa: E501 Visualize a product's nutritional information as HTML including CSS. # noqa: E501 This method makes a synchronous HTTP request by default. To make an ...
Visualize Product Nutrition by ID # noqa: E501 Visualize a product's nutritional information as HTML including CSS. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.visualize_product...
Visualize Product Nutrition by ID # noqa: E501 Visualize a product's nutritional information as HTML including CSS. # noqa: E501 This method makes a synchronous HTTP request by default. :param async_req bool :param float id: The id of the product. (required) :param bool default_css: Whether the default CSS should be...
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def visualize_product_nutrition_by_id_with_http_info(self, id, **kwargs): """Visualize Product Nutrition by ID Visualize a product's nutritional information as HTML including CSS. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please ...
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Visualize Product Nutrition by ID # noqa: E501 Visualize a product's nutritional information as HTML including CSS.
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[ "# noqa: E501", "\"\"\"Visualize Product Nutrition by ID # noqa: E501\n\n Visualize a product's nutritional information as HTML including CSS. # noqa: E501\n This method makes a synchronous HTTP request by default. To make an\n asynchronous HTTP request, please pass async_req=True\n ...
[ { "param": "self", "type": null }, { "param": "id", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "id", "type": null, "docstring": null, "docstring_tokens": [],...
5bfd72a50dac5ff819de892874fd69ba27ccd7a5
mikaylakonst/spoonacular-api-clients
python/spoonacular/com/spoonacular/default_api.py
[ "MIT" ]
Python
visualize_recipe_equipment_by_id
<not_specific>
def visualize_recipe_equipment_by_id(self, id, **kwargs): # noqa: E501 """Visualize Recipe Equipment by ID # noqa: E501 Visualize a recipe's equipment list. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_r...
Visualize Recipe Equipment by ID # noqa: E501 Visualize a recipe's equipment list. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.visualize_recipe_equipment_by_id(id, async_req=Tru...
Visualize Recipe Equipment by ID # noqa: E501 Visualize a recipe's equipment list. # noqa: E501 This method makes a synchronous HTTP request by default. :param async_req bool :param float id: The recipe id. (required) :param bool default_css: Whether the default CSS should be added to the response. :return: str If t...
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def visualize_recipe_equipment_by_id(self, id, **kwargs): """Visualize Recipe Equipment by ID Visualize a recipe's equipment list. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.visu...
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Visualize Recipe Equipment by ID # noqa: E501 Visualize a recipe's equipment list.
[ "Visualize", "Recipe", "Equipment", "by", "ID", "#", "noqa", ":", "E501", "Visualize", "a", "recipe", "'", "s", "equipment", "list", "." ]
[ "# noqa: E501", "\"\"\"Visualize Recipe Equipment by ID # noqa: E501\n\n Visualize a recipe's equipment list. # noqa: E501\n This method makes a synchronous HTTP request by default. To make an\n asynchronous HTTP request, please pass async_req=True\n >>> thread = api.visualize_recipe...
[ { "param": "self", "type": null }, { "param": "id", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "id", "type": null, "docstring": null, "docstring_tokens": [],...
5bfd72a50dac5ff819de892874fd69ba27ccd7a5
mikaylakonst/spoonacular-api-clients
python/spoonacular/com/spoonacular/default_api.py
[ "MIT" ]
Python
visualize_recipe_equipment_by_id_with_http_info
<not_specific>
def visualize_recipe_equipment_by_id_with_http_info(self, id, **kwargs): # noqa: E501 """Visualize Recipe Equipment by ID # noqa: E501 Visualize a recipe's equipment list. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, plea...
Visualize Recipe Equipment by ID # noqa: E501 Visualize a recipe's equipment list. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.visualize_recipe_equipment_by_id_with_http_info(id...
Visualize Recipe Equipment by ID # noqa: E501 Visualize a recipe's equipment list. # noqa: E501 This method makes a synchronous HTTP request by default. :param async_req bool :param float id: The recipe id. (required) :param bool default_css: Whether the default CSS should be added to the response. :return: str If t...
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def visualize_recipe_equipment_by_id_with_http_info(self, id, **kwargs): """Visualize Recipe Equipment by ID Visualize a recipe's equipment list. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> th...
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Visualize Recipe Equipment by ID # noqa: E501 Visualize a recipe's equipment list.
[ "Visualize", "Recipe", "Equipment", "by", "ID", "#", "noqa", ":", "E501", "Visualize", "a", "recipe", "'", "s", "equipment", "list", "." ]
[ "# noqa: E501", "\"\"\"Visualize Recipe Equipment by ID # noqa: E501\n\n Visualize a recipe's equipment list. # noqa: E501\n This method makes a synchronous HTTP request by default. To make an\n asynchronous HTTP request, please pass async_req=True\n >>> thread = api.visualize_recipe...
[ { "param": "self", "type": null }, { "param": "id", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "id", "type": null, "docstring": null, "docstring_tokens": [],...
5bfd72a50dac5ff819de892874fd69ba27ccd7a5
mikaylakonst/spoonacular-api-clients
python/spoonacular/com/spoonacular/default_api.py
[ "MIT" ]
Python
visualize_recipe_ingredients_by_id
<not_specific>
def visualize_recipe_ingredients_by_id(self, id, **kwargs): # noqa: E501 """Visualize Recipe Ingredients by ID # noqa: E501 Visualize a recipe's ingredient list. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass as...
Visualize Recipe Ingredients by ID # noqa: E501 Visualize a recipe's ingredient list. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.visualize_recipe_ingredients_by_id(id, async_re...
Visualize Recipe Ingredients by ID # noqa: E501 Visualize a recipe's ingredient list. # noqa: E501 This method makes a synchronous HTTP request by default. :param async_req bool :param float id: The recipe id. (required) :param bool default_css: Whether the default CSS should be added to the response. :return: str I...
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def visualize_recipe_ingredients_by_id(self, id, **kwargs): """Visualize Recipe Ingredients by ID Visualize a recipe's ingredient list. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api...
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Visualize Recipe Ingredients by ID # noqa: E501 Visualize a recipe's ingredient list.
[ "Visualize", "Recipe", "Ingredients", "by", "ID", "#", "noqa", ":", "E501", "Visualize", "a", "recipe", "'", "s", "ingredient", "list", "." ]
[ "# noqa: E501", "\"\"\"Visualize Recipe Ingredients by ID # noqa: E501\n\n Visualize a recipe's ingredient list. # noqa: E501\n This method makes a synchronous HTTP request by default. To make an\n asynchronous HTTP request, please pass async_req=True\n >>> thread = api.visualize_rec...
[ { "param": "self", "type": null }, { "param": "id", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "id", "type": null, "docstring": null, "docstring_tokens": [],...
5bfd72a50dac5ff819de892874fd69ba27ccd7a5
mikaylakonst/spoonacular-api-clients
python/spoonacular/com/spoonacular/default_api.py
[ "MIT" ]
Python
visualize_recipe_ingredients_by_id_with_http_info
<not_specific>
def visualize_recipe_ingredients_by_id_with_http_info(self, id, **kwargs): # noqa: E501 """Visualize Recipe Ingredients by ID # noqa: E501 Visualize a recipe's ingredient list. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request,...
Visualize Recipe Ingredients by ID # noqa: E501 Visualize a recipe's ingredient list. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.visualize_recipe_ingredients_by_id_with_http_in...
Visualize Recipe Ingredients by ID # noqa: E501 Visualize a recipe's ingredient list. # noqa: E501 This method makes a synchronous HTTP request by default. :param async_req bool :param float id: The recipe id. (required) :param bool default_css: Whether the default CSS should be added to the response. :return: str I...
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def visualize_recipe_ingredients_by_id_with_http_info(self, id, **kwargs): """Visualize Recipe Ingredients by ID Visualize a recipe's ingredient list. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >...
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Visualize Recipe Ingredients by ID # noqa: E501 Visualize a recipe's ingredient list.
[ "Visualize", "Recipe", "Ingredients", "by", "ID", "#", "noqa", ":", "E501", "Visualize", "a", "recipe", "'", "s", "ingredient", "list", "." ]
[ "# noqa: E501", "\"\"\"Visualize Recipe Ingredients by ID # noqa: E501\n\n Visualize a recipe's ingredient list. # noqa: E501\n This method makes a synchronous HTTP request by default. To make an\n asynchronous HTTP request, please pass async_req=True\n >>> thread = api.visualize_rec...
[ { "param": "self", "type": null }, { "param": "id", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "id", "type": null, "docstring": null, "docstring_tokens": [],...
5bfd72a50dac5ff819de892874fd69ba27ccd7a5
mikaylakonst/spoonacular-api-clients
python/spoonacular/com/spoonacular/default_api.py
[ "MIT" ]
Python
visualize_recipe_nutrition
<not_specific>
def visualize_recipe_nutrition(self, ingredient_list, servings, **kwargs): # noqa: E501 """Visualize Recipe Nutrition # noqa: E501 Visualize a recipe's nutritional information as HTML including CSS. You can play around with that endpoint! # noqa: E501 This method makes a synchronous HTTP req...
Visualize Recipe Nutrition # noqa: E501 Visualize a recipe's nutritional information as HTML including CSS. You can play around with that endpoint! # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>...
Visualize Recipe Nutrition # noqa: E501 Visualize a recipe's nutritional information as HTML including CSS. You can play around with that endpoint. # noqa: E501 This method makes a synchronous HTTP request by default. :param async_req bool :param str ingredient_list: The ingredient list of the recipe, one ingredient...
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def visualize_recipe_nutrition(self, ingredient_list, servings, **kwargs): """Visualize Recipe Nutrition Visualize a recipe's nutritional information as HTML including CSS. You can play around with that endpoint! This method makes a synchronous HTTP request by default. To make an a...
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Visualize Recipe Nutrition # noqa: E501 Visualize a recipe's nutritional information as HTML including CSS.
[ "Visualize", "Recipe", "Nutrition", "#", "noqa", ":", "E501", "Visualize", "a", "recipe", "'", "s", "nutritional", "information", "as", "HTML", "including", "CSS", "." ]
[ "# noqa: E501", "\"\"\"Visualize Recipe Nutrition # noqa: E501\n\n Visualize a recipe's nutritional information as HTML including CSS. You can play around with that endpoint! # noqa: E501\n This method makes a synchronous HTTP request by default. To make an\n asynchronous HTTP request, plea...
[ { "param": "self", "type": null }, { "param": "ingredient_list", "type": null }, { "param": "servings", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "ingredient_list", "type": null, "docstring": null, "docstring...
5bfd72a50dac5ff819de892874fd69ba27ccd7a5
mikaylakonst/spoonacular-api-clients
python/spoonacular/com/spoonacular/default_api.py
[ "MIT" ]
Python
visualize_recipe_nutrition_with_http_info
<not_specific>
def visualize_recipe_nutrition_with_http_info(self, ingredient_list, servings, **kwargs): # noqa: E501 """Visualize Recipe Nutrition # noqa: E501 Visualize a recipe's nutritional information as HTML including CSS. You can play around with that endpoint! # noqa: E501 This method makes a synch...
Visualize Recipe Nutrition # noqa: E501 Visualize a recipe's nutritional information as HTML including CSS. You can play around with that endpoint! # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>...
Visualize Recipe Nutrition # noqa: E501 Visualize a recipe's nutritional information as HTML including CSS. You can play around with that endpoint. # noqa: E501 This method makes a synchronous HTTP request by default. :param async_req bool :param str ingredient_list: The ingredient list of the recipe, one ingredient...
[ "Visualize", "Recipe", "Nutrition", "#", "noqa", ":", "E501", "Visualize", "a", "recipe", "'", "s", "nutritional", "information", "as", "HTML", "including", "CSS", ".", "You", "can", "play", "around", "with", "that", "endpoint", ".", "#", "noqa", ":", "E50...
def visualize_recipe_nutrition_with_http_info(self, ingredient_list, servings, **kwargs): """Visualize Recipe Nutrition Visualize a recipe's nutritional information as HTML including CSS. You can play around with that endpoint! This method makes a synchronous HTTP request by default. To ma...
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Visualize Recipe Nutrition # noqa: E501 Visualize a recipe's nutritional information as HTML including CSS.
[ "Visualize", "Recipe", "Nutrition", "#", "noqa", ":", "E501", "Visualize", "a", "recipe", "'", "s", "nutritional", "information", "as", "HTML", "including", "CSS", "." ]
[ "# noqa: E501", "\"\"\"Visualize Recipe Nutrition # noqa: E501\n\n Visualize a recipe's nutritional information as HTML including CSS. You can play around with that endpoint! # noqa: E501\n This method makes a synchronous HTTP request by default. To make an\n asynchronous HTTP request, plea...
[ { "param": "self", "type": null }, { "param": "ingredient_list", "type": null }, { "param": "servings", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "ingredient_list", "type": null, "docstring": null, "docstring...
5bfd72a50dac5ff819de892874fd69ba27ccd7a5
mikaylakonst/spoonacular-api-clients
python/spoonacular/com/spoonacular/default_api.py
[ "MIT" ]
Python
visualize_recipe_nutrition_by_id
<not_specific>
def visualize_recipe_nutrition_by_id(self, id, **kwargs): # noqa: E501 """Visualize Recipe Nutrition by ID # noqa: E501 Visualize a recipe's nutritional information as HTML including CSS. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HT...
Visualize Recipe Nutrition by ID # noqa: E501 Visualize a recipe's nutritional information as HTML including CSS. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.visualize_recipe_nu...
Visualize Recipe Nutrition by ID # noqa: E501 Visualize a recipe's nutritional information as HTML including CSS. # noqa: E501 This method makes a synchronous HTTP request by default. :param async_req bool :param float id: The recipe id. (required) :param bool default_css: Whether the default CSS should be added to ...
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def visualize_recipe_nutrition_by_id(self, id, **kwargs): """Visualize Recipe Nutrition by ID Visualize a recipe's nutritional information as HTML including CSS. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=Tru...
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Visualize Recipe Nutrition by ID # noqa: E501 Visualize a recipe's nutritional information as HTML including CSS.
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[ "# noqa: E501", "\"\"\"Visualize Recipe Nutrition by ID # noqa: E501\n\n Visualize a recipe's nutritional information as HTML including CSS. # noqa: E501\n This method makes a synchronous HTTP request by default. To make an\n asynchronous HTTP request, please pass async_req=True\n >>...
[ { "param": "self", "type": null }, { "param": "id", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "id", "type": null, "docstring": null, "docstring_tokens": [],...
5bfd72a50dac5ff819de892874fd69ba27ccd7a5
mikaylakonst/spoonacular-api-clients
python/spoonacular/com/spoonacular/default_api.py
[ "MIT" ]
Python
visualize_recipe_nutrition_by_id_with_http_info
<not_specific>
def visualize_recipe_nutrition_by_id_with_http_info(self, id, **kwargs): # noqa: E501 """Visualize Recipe Nutrition by ID # noqa: E501 Visualize a recipe's nutritional information as HTML including CSS. # noqa: E501 This method makes a synchronous HTTP request by default. To make an ...
Visualize Recipe Nutrition by ID # noqa: E501 Visualize a recipe's nutritional information as HTML including CSS. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.visualize_recipe_nu...
Visualize Recipe Nutrition by ID # noqa: E501 Visualize a recipe's nutritional information as HTML including CSS. # noqa: E501 This method makes a synchronous HTTP request by default. :param async_req bool :param float id: The recipe id. (required) :param bool default_css: Whether the default CSS should be added to ...
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def visualize_recipe_nutrition_by_id_with_http_info(self, id, **kwargs): """Visualize Recipe Nutrition by ID Visualize a recipe's nutritional information as HTML including CSS. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pas...
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Visualize Recipe Nutrition by ID # noqa: E501 Visualize a recipe's nutritional information as HTML including CSS.
[ "Visualize", "Recipe", "Nutrition", "by", "ID", "#", "noqa", ":", "E501", "Visualize", "a", "recipe", "'", "s", "nutritional", "information", "as", "HTML", "including", "CSS", "." ]
[ "# noqa: E501", "\"\"\"Visualize Recipe Nutrition by ID # noqa: E501\n\n Visualize a recipe's nutritional information as HTML including CSS. # noqa: E501\n This method makes a synchronous HTTP request by default. To make an\n asynchronous HTTP request, please pass async_req=True\n >>...
[ { "param": "self", "type": null }, { "param": "id", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "id", "type": null, "docstring": null, "docstring_tokens": [],...
5bfd72a50dac5ff819de892874fd69ba27ccd7a5
mikaylakonst/spoonacular-api-clients
python/spoonacular/com/spoonacular/default_api.py
[ "MIT" ]
Python
visualize_recipe_price_breakdown_by_id
<not_specific>
def visualize_recipe_price_breakdown_by_id(self, id, **kwargs): # noqa: E501 """Visualize Recipe Price Breakdown by ID # noqa: E501 Visualize a recipe's price breakdown. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please...
Visualize Recipe Price Breakdown by ID # noqa: E501 Visualize a recipe's price breakdown. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.visualize_recipe_price_breakdown_by_id(id, ...
Visualize Recipe Price Breakdown by ID # noqa: E501 Visualize a recipe's price breakdown. # noqa: E501 This method makes a synchronous HTTP request by default. :param async_req bool :param float id: The recipe id. (required) :param bool default_css: Whether the default CSS should be added to the response. :return: s...
[ "Visualize", "Recipe", "Price", "Breakdown", "by", "ID", "#", "noqa", ":", "E501", "Visualize", "a", "recipe", "'", "s", "price", "breakdown", ".", "#", "noqa", ":", "E501", "This", "method", "makes", "a", "synchronous", "HTTP", "request", "by", "default",...
def visualize_recipe_price_breakdown_by_id(self, id, **kwargs): """Visualize Recipe Price Breakdown by ID Visualize a recipe's price breakdown. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thre...
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Visualize Recipe Price Breakdown by ID # noqa: E501 Visualize a recipe's price breakdown.
[ "Visualize", "Recipe", "Price", "Breakdown", "by", "ID", "#", "noqa", ":", "E501", "Visualize", "a", "recipe", "'", "s", "price", "breakdown", "." ]
[ "# noqa: E501", "\"\"\"Visualize Recipe Price Breakdown by ID # noqa: E501\n\n Visualize a recipe's price breakdown. # noqa: E501\n This method makes a synchronous HTTP request by default. To make an\n asynchronous HTTP request, please pass async_req=True\n >>> thread = api.visualize...
[ { "param": "self", "type": null }, { "param": "id", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "id", "type": null, "docstring": null, "docstring_tokens": [],...
5bfd72a50dac5ff819de892874fd69ba27ccd7a5
mikaylakonst/spoonacular-api-clients
python/spoonacular/com/spoonacular/default_api.py
[ "MIT" ]
Python
visualize_recipe_price_breakdown_by_id_with_http_info
<not_specific>
def visualize_recipe_price_breakdown_by_id_with_http_info(self, id, **kwargs): # noqa: E501 """Visualize Recipe Price Breakdown by ID # noqa: E501 Visualize a recipe's price breakdown. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP ...
Visualize Recipe Price Breakdown by ID # noqa: E501 Visualize a recipe's price breakdown. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.visualize_recipe_price_breakdown_by_id_with...
Visualize Recipe Price Breakdown by ID # noqa: E501 Visualize a recipe's price breakdown. # noqa: E501 This method makes a synchronous HTTP request by default. :param async_req bool :param float id: The recipe id. (required) :param bool default_css: Whether the default CSS should be added to the response. :return: s...
[ "Visualize", "Recipe", "Price", "Breakdown", "by", "ID", "#", "noqa", ":", "E501", "Visualize", "a", "recipe", "'", "s", "price", "breakdown", ".", "#", "noqa", ":", "E501", "This", "method", "makes", "a", "synchronous", "HTTP", "request", "by", "default",...
def visualize_recipe_price_breakdown_by_id_with_http_info(self, id, **kwargs): """Visualize Recipe Price Breakdown by ID Visualize a recipe's price breakdown. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True ...
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Visualize Recipe Price Breakdown by ID # noqa: E501 Visualize a recipe's price breakdown.
[ "Visualize", "Recipe", "Price", "Breakdown", "by", "ID", "#", "noqa", ":", "E501", "Visualize", "a", "recipe", "'", "s", "price", "breakdown", "." ]
[ "# noqa: E501", "\"\"\"Visualize Recipe Price Breakdown by ID # noqa: E501\n\n Visualize a recipe's price breakdown. # noqa: E501\n This method makes a synchronous HTTP request by default. To make an\n asynchronous HTTP request, please pass async_req=True\n >>> thread = api.visualize...
[ { "param": "self", "type": null }, { "param": "id", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "id", "type": null, "docstring": null, "docstring_tokens": [],...
5bfd72a50dac5ff819de892874fd69ba27ccd7a5
mikaylakonst/spoonacular-api-clients
python/spoonacular/com/spoonacular/default_api.py
[ "MIT" ]
Python
visualize_recipe_taste
<not_specific>
def visualize_recipe_taste(self, ingredient_list, **kwargs): # noqa: E501 """Visualize Recipe Taste # noqa: E501 Visualize a recipe's taste information as HTML including CSS. You can play around with that endpoint! # noqa: E501 This method makes a synchronous HTTP request by default. To make...
Visualize Recipe Taste # noqa: E501 Visualize a recipe's taste information as HTML including CSS. You can play around with that endpoint! # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread =...
Visualize Recipe Taste # noqa: E501 Visualize a recipe's taste information as HTML including CSS. You can play around with that endpoint. # noqa: E501 This method makes a synchronous HTTP request by default. :param async_req bool :param str ingredient_list: The ingredient list of the recipe, one ingredient per line....
[ "Visualize", "Recipe", "Taste", "#", "noqa", ":", "E501", "Visualize", "a", "recipe", "'", "s", "taste", "information", "as", "HTML", "including", "CSS", ".", "You", "can", "play", "around", "with", "that", "endpoint", ".", "#", "noqa", ":", "E501", "Thi...
def visualize_recipe_taste(self, ingredient_list, **kwargs): """Visualize Recipe Taste Visualize a recipe's taste information as HTML including CSS. You can play around with that endpoint! This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request...
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Visualize Recipe Taste # noqa: E501 Visualize a recipe's taste information as HTML including CSS.
[ "Visualize", "Recipe", "Taste", "#", "noqa", ":", "E501", "Visualize", "a", "recipe", "'", "s", "taste", "information", "as", "HTML", "including", "CSS", "." ]
[ "# noqa: E501", "\"\"\"Visualize Recipe Taste # noqa: E501\n\n Visualize a recipe's taste information as HTML including CSS. You can play around with that endpoint! # noqa: E501\n This method makes a synchronous HTTP request by default. To make an\n asynchronous HTTP request, please pass as...
[ { "param": "self", "type": null }, { "param": "ingredient_list", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "ingredient_list", "type": null, "docstring": null, "docstring...
5bfd72a50dac5ff819de892874fd69ba27ccd7a5
mikaylakonst/spoonacular-api-clients
python/spoonacular/com/spoonacular/default_api.py
[ "MIT" ]
Python
visualize_recipe_taste_with_http_info
<not_specific>
def visualize_recipe_taste_with_http_info(self, ingredient_list, **kwargs): # noqa: E501 """Visualize Recipe Taste # noqa: E501 Visualize a recipe's taste information as HTML including CSS. You can play around with that endpoint! # noqa: E501 This method makes a synchronous HTTP request by d...
Visualize Recipe Taste # noqa: E501 Visualize a recipe's taste information as HTML including CSS. You can play around with that endpoint! # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread =...
Visualize Recipe Taste # noqa: E501 Visualize a recipe's taste information as HTML including CSS. You can play around with that endpoint. # noqa: E501 This method makes a synchronous HTTP request by default. :param async_req bool :param str ingredient_list: The ingredient list of the recipe, one ingredient per line....
[ "Visualize", "Recipe", "Taste", "#", "noqa", ":", "E501", "Visualize", "a", "recipe", "'", "s", "taste", "information", "as", "HTML", "including", "CSS", ".", "You", "can", "play", "around", "with", "that", "endpoint", ".", "#", "noqa", ":", "E501", "Thi...
def visualize_recipe_taste_with_http_info(self, ingredient_list, **kwargs): """Visualize Recipe Taste Visualize a recipe's taste information as HTML including CSS. You can play around with that endpoint! This method makes a synchronous HTTP request by default. To make an asynchrono...
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Visualize Recipe Taste # noqa: E501 Visualize a recipe's taste information as HTML including CSS.
[ "Visualize", "Recipe", "Taste", "#", "noqa", ":", "E501", "Visualize", "a", "recipe", "'", "s", "taste", "information", "as", "HTML", "including", "CSS", "." ]
[ "# noqa: E501", "\"\"\"Visualize Recipe Taste # noqa: E501\n\n Visualize a recipe's taste information as HTML including CSS. You can play around with that endpoint! # noqa: E501\n This method makes a synchronous HTTP request by default. To make an\n asynchronous HTTP request, please pass as...
[ { "param": "self", "type": null }, { "param": "ingredient_list", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "ingredient_list", "type": null, "docstring": null, "docstring...
1b225f94ee6c773f4127a586e9e2290fb4c68d32
mrolinek/alpha_skat
algorithms/mcts_basic.py
[ "MIT" ]
Python
choose
<not_specific>
def choose(self): "Choose the best successor of node. (Choose a move in the game)" if self.root_node.is_terminal(): raise RuntimeError( f"choose called on terminal node {self.root_node}") if self.root_node not in self.children: raise RuntimeError(f"No ite...
Choose the best successor of node. (Choose a move in the game)
Choose the best successor of node. (Choose a move in the game)
[ "Choose", "the", "best", "successor", "of", "node", ".", "(", "Choose", "a", "move", "in", "the", "game", ")" ]
def choose(self): if self.root_node.is_terminal(): raise RuntimeError( f"choose called on terminal node {self.root_node}") if self.root_node not in self.children: raise RuntimeError(f"No iterations performed {self.root_node}") def all_value_functions(n): ...
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Choose the best successor of node.
[ "Choose", "the", "best", "successor", "of", "node", "." ]
[ "\"Choose the best successor of node. (Choose a move in the game)\"", "# average reward" ]
[ { "param": "self", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
1b225f94ee6c773f4127a586e9e2290fb4c68d32
mrolinek/alpha_skat
algorithms/mcts_basic.py
[ "MIT" ]
Python
do_rollout
null
def do_rollout(self): "Make the tree one layer better. (Train for one iteration.)" path = self._select(self.root_node) leaf = path[-1] self._expand(leaf) reward = self._simulate(leaf) self._backpropagate(path, reward)
Make the tree one layer better. (Train for one iteration.)
Make the tree one layer better. (Train for one iteration.)
[ "Make", "the", "tree", "one", "layer", "better", ".", "(", "Train", "for", "one", "iteration", ".", ")" ]
def do_rollout(self): path = self._select(self.root_node) leaf = path[-1] self._expand(leaf) reward = self._simulate(leaf) self._backpropagate(path, reward)
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Make the tree one layer better.
[ "Make", "the", "tree", "one", "layer", "better", "." ]
[ "\"Make the tree one layer better. (Train for one iteration.)\"" ]
[ { "param": "self", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
1b225f94ee6c773f4127a586e9e2290fb4c68d32
mrolinek/alpha_skat
algorithms/mcts_basic.py
[ "MIT" ]
Python
_expand
<not_specific>
def _expand(self, node): "Update the `children` dict with the children of `node`" if node in self.children: return # already expanded if node.is_terminal(): self.children[node] = [] else: self.children[node] = node.find_children()
Update the `children` dict with the children of `node`
Update the `children` dict with the children of `node`
[ "Update", "the", "`", "children", "`", "dict", "with", "the", "children", "of", "`", "node", "`" ]
def _expand(self, node): if node in self.children: return if node.is_terminal(): self.children[node] = [] else: self.children[node] = node.find_children()
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Update the `children` dict with the children of `node`
[ "Update", "the", "`", "children", "`", "dict", "with", "the", "children", "of", "`", "node", "`" ]
[ "\"Update the `children` dict with the children of `node`\"", "# already expanded" ]
[ { "param": "self", "type": null }, { "param": "node", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "node", "type": null, "docstring": null, "docstring_tokens": [...
1b225f94ee6c773f4127a586e9e2290fb4c68d32
mrolinek/alpha_skat
algorithms/mcts_basic.py
[ "MIT" ]
Python
_simulate
<not_specific>
def _simulate(self, node): "Returns the reward for a random simulation (to completion) of `node`" while True: if node.is_terminal(): rewards = node.rewards() return rewards node = node.find_random_child()
Returns the reward for a random simulation (to completion) of `node`
Returns the reward for a random simulation (to completion) of `node`
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def _simulate(self, node): while True: if node.is_terminal(): rewards = node.rewards() return rewards node = node.find_random_child()
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Returns the reward for a random simulation (to completion) of `node`
[ "Returns", "the", "reward", "for", "a", "random", "simulation", "(", "to", "completion", ")", "of", "`", "node", "`" ]
[ "\"Returns the reward for a random simulation (to completion) of `node`\"" ]
[ { "param": "self", "type": null }, { "param": "node", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "node", "type": null, "docstring": null, "docstring_tokens": [...
1b225f94ee6c773f4127a586e9e2290fb4c68d32
mrolinek/alpha_skat
algorithms/mcts_basic.py
[ "MIT" ]
Python
_uct_select
<not_specific>
def _uct_select(self, node): "Select a child of node, balancing exploration & exploitation" # All children of node should already be expanded: assert all(n in self.children for n in self.children[node]) assert all(n in self.N for n in self.children[node]) if len(self.children[n...
Select a child of node, balancing exploration & exploitation
Select a child of node, balancing exploration & exploitation
[ "Select", "a", "child", "of", "node", "balancing", "exploration", "&", "exploitation" ]
def _uct_select(self, node): assert all(n in self.children for n in self.children[node]) assert all(n in self.N for n in self.children[node]) if len(self.children[node]) == 1: return list(self.children[node])[0] sqrt_parent_visits = math.sqrt(self.N[node]) player = no...
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Select a child of node, balancing exploration & exploitation
[ "Select", "a", "child", "of", "node", "balancing", "exploration", "&", "exploitation" ]
[ "\"Select a child of node, balancing exploration & exploitation\"", "# All children of node should already be expanded:", "\"Upper confidence bound for trees\"" ]
[ { "param": "self", "type": null }, { "param": "node", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "node", "type": null, "docstring": null, "docstring_tokens": [...
f928e36712ce4f15a78c778fdb3340f39a17d514
noironetworks/deployment-support
agent/policy_config.py
[ "Apache-2.0" ]
Python
list_l3_eps
null
def list_l3_eps(self): """List all of the Layer 3 policy objects Find all of the objects of type EpdrLocalL3Ep """ self.list_objects_by_type('EpdrLocalL3Ep')
List all of the Layer 3 policy objects Find all of the objects of type EpdrLocalL3Ep
List all of the Layer 3 policy objects Find all of the objects of type EpdrLocalL3Ep
[ "List", "all", "of", "the", "Layer", "3", "policy", "objects", "Find", "all", "of", "the", "objects", "of", "type", "EpdrLocalL3Ep" ]
def list_l3_eps(self): self.list_objects_by_type('EpdrLocalL3Ep')
[ "def", "list_l3_eps", "(", "self", ")", ":", "self", ".", "list_objects_by_type", "(", "'EpdrLocalL3Ep'", ")" ]
List all of the Layer 3 policy objects Find all of the objects of type EpdrLocalL3Ep
[ "List", "all", "of", "the", "Layer", "3", "policy", "objects", "Find", "all", "of", "the", "objects", "of", "type", "EpdrLocalL3Ep" ]
[ "\"\"\"List all of the Layer 3 policy objects\n\n Find all of the objects of type EpdrLocalL3Ep\n \"\"\"" ]
[ { "param": "self", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
f928e36712ce4f15a78c778fdb3340f39a17d514
noironetworks/deployment-support
agent/policy_config.py
[ "Apache-2.0" ]
Python
list_l2_eps
null
def list_l2_eps(self): """List all of the Layer 3 policy objects Find all of the objects of type EpdrLocalL2Ep """ self.list_objects_by_type('EpdrLocalL2Ep')
List all of the Layer 3 policy objects Find all of the objects of type EpdrLocalL2Ep
List all of the Layer 3 policy objects Find all of the objects of type EpdrLocalL2Ep
[ "List", "all", "of", "the", "Layer", "3", "policy", "objects", "Find", "all", "of", "the", "objects", "of", "type", "EpdrLocalL2Ep" ]
def list_l2_eps(self): self.list_objects_by_type('EpdrLocalL2Ep')
[ "def", "list_l2_eps", "(", "self", ")", ":", "self", ".", "list_objects_by_type", "(", "'EpdrLocalL2Ep'", ")" ]
List all of the Layer 3 policy objects Find all of the objects of type EpdrLocalL2Ep
[ "List", "all", "of", "the", "Layer", "3", "policy", "objects", "Find", "all", "of", "the", "objects", "of", "type", "EpdrLocalL2Ep" ]
[ "\"\"\"List all of the Layer 3 policy objects\n\n Find all of the objects of type EpdrLocalL2Ep\n \"\"\"" ]
[ { "param": "self", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
f928e36712ce4f15a78c778fdb3340f39a17d514
noironetworks/deployment-support
agent/policy_config.py
[ "Apache-2.0" ]
Python
list_vms
null
def list_vms(self): """List all the VM policy objects Find all the objects of type GbpeVMEp """ self.list_objects_by_type('GbpeVMEp')
List all the VM policy objects Find all the objects of type GbpeVMEp
List all the VM policy objects Find all the objects of type GbpeVMEp
[ "List", "all", "the", "VM", "policy", "objects", "Find", "all", "the", "objects", "of", "type", "GbpeVMEp" ]
def list_vms(self): self.list_objects_by_type('GbpeVMEp')
[ "def", "list_vms", "(", "self", ")", ":", "self", ".", "list_objects_by_type", "(", "'GbpeVMEp'", ")" ]
List all the VM policy objects Find all the objects of type GbpeVMEp
[ "List", "all", "the", "VM", "policy", "objects", "Find", "all", "the", "objects", "of", "type", "GbpeVMEp" ]
[ "\"\"\"List all the VM policy objects\n\n Find all the objects of type GbpeVMEp\n \"\"\"" ]
[ { "param": "self", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
97637537444dcbaf2d3dfc7e73ea5fc0b5379681
nembery/aframe
endpoints/views.py
[ "Apache-2.0" ]
Python
add_endpoints_to_queue
<not_specific>
def add_endpoints_to_queue(request): """ takes a list of selected endpoints and adds them to the user session under a key named "endpoint_queue". Also adds another list of "endpoint_queue_names" to avoid limitations with django template language stuff to show already selected items in the queue """...
takes a list of selected endpoints and adds them to the user session under a key named "endpoint_queue". Also adds another list of "endpoint_queue_names" to avoid limitations with django template language stuff to show already selected items in the queue
takes a list of selected endpoints and adds them to the user session under a key named "endpoint_queue". Also adds another list of "endpoint_queue_names" to avoid limitations with django template language stuff to show already selected items in the queue
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def add_endpoints_to_queue(request): logger.info("__ endpoints add_endpoints_to_queue __") required_fields = set(["endpoints", "group_id"]) if not required_fields.issubset(request.POST): logger.error("not all required fields found in request") return render(request, "error.html", {"error": "...
[ "def", "add_endpoints_to_queue", "(", "request", ")", ":", "logger", ".", "info", "(", "\"__ endpoints add_endpoints_to_queue __\"", ")", "required_fields", "=", "set", "(", "[", "\"endpoints\"", ",", "\"group_id\"", "]", ")", "if", "not", "required_fields", ".", ...
takes a list of selected endpoints and adds them to the user session under a key named "endpoint_queue".
[ "takes", "a", "list", "of", "selected", "endpoints", "and", "adds", "them", "to", "the", "user", "session", "under", "a", "key", "named", "\"", "endpoint_queue", "\"", "." ]
[ "\"\"\"\n takes a list of selected endpoints and adds them to the user session under a key named\n \"endpoint_queue\". Also adds another list of \"endpoint_queue_names\" to avoid limitations with django template\n language stuff to show already selected items in the queue\n\n \"\"\"" ]
[ { "param": "request", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "request", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
97637537444dcbaf2d3dfc7e73ea5fc0b5379681
nembery/aframe
endpoints/views.py
[ "Apache-2.0" ]
Python
search
<not_specific>
def search(request): """ used for UI autocomplete searches. Will search all configured endpoint groups! Be careful with nmap based groups as this will take a long time! :param request: term :return: json list of dicts of type {'value': 'provider.id:endpoint.id', 'label': 'group_name/endpoint_name'} ...
used for UI autocomplete searches. Will search all configured endpoint groups! Be careful with nmap based groups as this will take a long time! :param request: term :return: json list of dicts of type {'value': 'provider.id:endpoint.id', 'label': 'group_name/endpoint_name'}
used for UI autocomplete searches. Will search all configured endpoint groups. Be careful with nmap based groups as this will take a long time!
[ "used", "for", "UI", "autocomplete", "searches", ".", "Will", "search", "all", "configured", "endpoint", "groups", ".", "Be", "careful", "with", "nmap", "based", "groups", "as", "this", "will", "take", "a", "long", "time!" ]
def search(request): logger.info("__ input_forms search __") term = request.GET["term"] results = [] provider_list = EndpointGroup.objects.all().order_by("name") for provider in provider_list: provider_instance = endpoint_provider.get_provider_instance_from_group(provider.id) provide...
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used for UI autocomplete searches.
[ "used", "for", "UI", "autocomplete", "searches", "." ]
[ "\"\"\"\n used for UI autocomplete searches. Will search all configured endpoint groups! Be careful with nmap based\n groups as this will take a long time!\n :param request: term\n :return: json list of dicts of type {'value': 'provider.id:endpoint.id', 'label': 'group_name/endpoint_name'}\n \"\"\"" ...
[ { "param": "request", "type": null } ]
{ "returns": [ { "docstring": "json list of dicts of type {'value': 'provider.id:endpoint.id', 'label': 'group_name/endpoint_name'}", "docstring_tokens": [ "json", "list", "of", "dicts", "of", "type", "{", "'", "value", "'...
97637537444dcbaf2d3dfc7e73ea5fc0b5379681
nembery/aframe
endpoints/views.py
[ "Apache-2.0" ]
Python
search_ip
<not_specific>
def search_ip(request): """ used for UI autocomplete searches. Will search all configured endpoint groups! Be careful with nmap based groups as this will take a long time! :param request: term :return: json list of dicts of type {'value': 'provider.id:endpoint.ip', 'label': 'group_name/endpoint_name...
used for UI autocomplete searches. Will search all configured endpoint groups! Be careful with nmap based groups as this will take a long time! :param request: term :return: json list of dicts of type {'value': 'provider.id:endpoint.ip', 'label': 'group_name/endpoint_name'}
used for UI autocomplete searches. Will search all configured endpoint groups. Be careful with nmap based groups as this will take a long time!
[ "used", "for", "UI", "autocomplete", "searches", ".", "Will", "search", "all", "configured", "endpoint", "groups", ".", "Be", "careful", "with", "nmap", "based", "groups", "as", "this", "will", "take", "a", "long", "time!" ]
def search_ip(request): logger.info("__ input_forms search_ip __") term = request.GET["term"] results = [] provider_list = EndpointGroup.objects.all().order_by("name") for provider in provider_list: provider_instance = endpoint_provider.get_provider_instance_from_group(provider.id) p...
[ "def", "search_ip", "(", "request", ")", ":", "logger", ".", "info", "(", "\"__ input_forms search_ip __\"", ")", "term", "=", "request", ".", "GET", "[", "\"term\"", "]", "results", "=", "[", "]", "provider_list", "=", "EndpointGroup", ".", "objects", ".", ...
used for UI autocomplete searches.
[ "used", "for", "UI", "autocomplete", "searches", "." ]
[ "\"\"\"\n used for UI autocomplete searches. Will search all configured endpoint groups! Be careful with nmap based\n groups as this will take a long time!\n :param request: term\n :return: json list of dicts of type {'value': 'provider.id:endpoint.ip', 'label': 'group_name/endpoint_name'}\n \"\"\"" ...
[ { "param": "request", "type": null } ]
{ "returns": [ { "docstring": "json list of dicts of type {'value': 'provider.id:endpoint.ip', 'label': 'group_name/endpoint_name'}", "docstring_tokens": [ "json", "list", "of", "dicts", "of", "type", "{", "'", "value", "'...
97faa46d346951ddf03773abe47bb4e27e9fb8b0
nembery/aframe
endpoints/plugins/SaltMinion.py
[ "Apache-2.0" ]
Python
load_instance_config
<not_specific>
def load_instance_config(self, config): """ set the configuration on the object :param config: the configuration from the endpoint group settings """ self.username = self.get_config_value("username") self.password = self.get_config_value("password") self.host = se...
set the configuration on the object :param config: the configuration from the endpoint group settings
set the configuration on the object
[ "set", "the", "configuration", "on", "the", "object" ]
def load_instance_config(self, config): self.username = self.get_config_value("username") self.password = self.get_config_value("password") self.host = self.get_config_value("host") self.protocol = self.get_config_value("protocol") self.load_iterator() return None
[ "def", "load_instance_config", "(", "self", ",", "config", ")", ":", "self", ".", "username", "=", "self", ".", "get_config_value", "(", "\"username\"", ")", "self", ".", "password", "=", "self", ".", "get_config_value", "(", "\"password\"", ")", "self", "."...
set the configuration on the object
[ "set", "the", "configuration", "on", "the", "object" ]
[ "\"\"\"\n set the configuration on the object\n :param config: the configuration from the endpoint group settings\n \"\"\"" ]
[ { "param": "self", "type": null }, { "param": "config", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "config", "type": null, "docstring": "the configuration from the end...
97faa46d346951ddf03773abe47bb4e27e9fb8b0
nembery/aframe
endpoints/plugins/SaltMinion.py
[ "Apache-2.0" ]
Python
__connect_to_saltapi
<not_specific>
def __connect_to_saltapi(self): """ connects to salt api endpoint to get a token with the specified user and password defaults to 'pam' eauth method :return: boolean if successful """ _auth_json = """ { "username" : "%s", ...
connects to salt api endpoint to get a token with the specified user and password defaults to 'pam' eauth method :return: boolean if successful
connects to salt api endpoint to get a token with the specified user and password defaults to 'pam' eauth method
[ "connects", "to", "salt", "api", "endpoint", "to", "get", "a", "token", "with", "the", "specified", "user", "and", "password", "defaults", "to", "'", "pam", "'", "eauth", "method" ]
def __connect_to_saltapi(self): _auth_json = """ { "username" : "%s", "password" : "%s", "eauth": "pam" } """ % (self.username, self.password) if ':' not in self.host: self.host += ':8000' ...
[ "def", "__connect_to_saltapi", "(", "self", ")", ":", "_auth_json", "=", "\"\"\"\n {\n \"username\" : \"%s\",\n \"password\" : \"%s\",\n \"eauth\": \"pam\"\n }\n \"\"\"", "%", "(", "self", ".", "userna...
connects to salt api endpoint to get a token with the specified user and password defaults to 'pam' eauth method
[ "connects", "to", "salt", "api", "endpoint", "to", "get", "a", "token", "with", "the", "specified", "user", "and", "password", "defaults", "to", "'", "pam", "'", "eauth", "method" ]
[ "\"\"\"\n connects to salt api endpoint to get a token with the specified user and password\n\n defaults to 'pam' eauth method\n\n :return: boolean if successful\n\n \"\"\"", "# if we don't have a port specified, let's add the default of 8000 here" ]
[ { "param": "self", "type": null } ]
{ "returns": [ { "docstring": "boolean if successful", "docstring_tokens": [ "boolean", "if", "successful" ], "type": null } ], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens...
bfa872a416f6170b6bea9508da7886cebf1803a0
nembery/aframe
a_frame/utils/action_providers/SSHRemoteExecution.py
[ "Apache-2.0" ]
Python
execute_template
<not_specific>
def execute_template(self, template): """ switches based on request_type chosen from template configuration :param template: :return: String results from the endpoint netconf subsystem """ # let's ensure we don't have silly dos style line breaks template = templ...
switches based on request_type chosen from template configuration :param template: :return: String results from the endpoint netconf subsystem
switches based on request_type chosen from template configuration
[ "switches", "based", "on", "request_type", "chosen", "from", "template", "configuration" ]
def execute_template(self, template): template = template.replace("\r\n", "\n") template = template.replace("\r", "\n") if self.request_type == "scp": return self.scp_template(template) elif self.request_type == "scp_and_execute": self.scp_template(template) ...
[ "def", "execute_template", "(", "self", ",", "template", ")", ":", "template", "=", "template", ".", "replace", "(", "\"\\r\\n\"", ",", "\"\\n\"", ")", "template", "=", "template", ".", "replace", "(", "\"\\r\"", ",", "\"\\n\"", ")", "if", "self", ".", "...
switches based on request_type chosen from template configuration
[ "switches", "based", "on", "request_type", "chosen", "from", "template", "configuration" ]
[ "\"\"\"\n switches based on request_type chosen from template configuration\n\n :param template:\n :return: String results from the endpoint netconf subsystem\n \"\"\"", "# let's ensure we don't have silly dos style line breaks", "# first copy over the template", "# this will updat...
[ { "param": "self", "type": null }, { "param": "template", "type": null } ]
{ "returns": [ { "docstring": "String results from the endpoint netconf subsystem", "docstring_tokens": [ "String", "results", "from", "the", "endpoint", "netconf", "subsystem" ], "type": null } ], "raises": [], "params": [ ...
bfa872a416f6170b6bea9508da7886cebf1803a0
nembery/aframe
a_frame/utils/action_providers/SSHRemoteExecution.py
[ "Apache-2.0" ]
Python
scp_template
<not_specific>
def scp_template(self, template): """ Uses scp to copy the template to the remote endpoint Hint, the file_path parameter can be overridden with the {{ syntax }} :param template: :return: """ try: if self.file_path.endswith("/"): # bad ...
Uses scp to copy the template to the remote endpoint Hint, the file_path parameter can be overridden with the {{ syntax }} :param template: :return:
Uses scp to copy the template to the remote endpoint Hint, the file_path parameter can be overridden with the {{ syntax }}
[ "Uses", "scp", "to", "copy", "the", "template", "to", "the", "remote", "endpoint", "Hint", "the", "file_path", "parameter", "can", "be", "overridden", "with", "the", "{{", "syntax", "}}" ]
def scp_template(self, template): try: if self.file_path.endswith("/"): new_path = self.file_path + str(uuid.uuid4()) self.file_path = new_path script_path = "/".join(self.file_path.split('/')[:-1]) transport = paramiko.Transport((self.endpoint...
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Uses scp to copy the template to the remote endpoint Hint, the file_path parameter can be overridden with the {{ syntax }}
[ "Uses", "scp", "to", "copy", "the", "template", "to", "the", "remote", "endpoint", "Hint", "the", "file_path", "parameter", "can", "be", "overridden", "with", "the", "{{", "syntax", "}}" ]
[ "\"\"\"\n Uses scp to copy the template to the remote endpoint\n Hint, the file_path parameter can be overridden with the {{ syntax }}\n :param template:\n :return:\n \"\"\"", "# bad news! no actual file name! let's use a random file name and continue", "# remove last thing af...
[ { "param": "self", "type": null }, { "param": "template", "type": null } ]
{ "returns": [ { "docstring": null, "docstring_tokens": [ "None" ], "type": null } ], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null ...
a4ed72bb3388d911378a3bfeca1a9ef92721a6e4
nembery/aframe
a_frame/utils/action_providers/ShellExecution.py
[ "Apache-2.0" ]
Python
execute_template
<not_specific>
def execute_template(self, template): """ writes the template to a tmp file and executes it on the server. Potentially very dangerous. You probably shouldn"t do this! If you do want to do this ( you shouldn"t ), your script should look for the device endpoint parameters stored i...
writes the template to a tmp file and executes it on the server. Potentially very dangerous. You probably shouldn"t do this! If you do want to do this ( you shouldn"t ), your script should look for the device endpoint parameters stored in the env as ENDPOINT_USERNAME EN...
writes the template to a tmp file and executes it on the server. Potentially very dangerous. You probably shouldn"t do this! If you do want to do this ( you shouldn"t ), your script should look for the device endpoint parameters stored in the env as ENDPOINT_USERNAME ENDPOINT_PASSWORD ENDPOINT_IP
[ "writes", "the", "template", "to", "a", "tmp", "file", "and", "executes", "it", "on", "the", "server", ".", "Potentially", "very", "dangerous", ".", "You", "probably", "shouldn", "\"", "t", "do", "this!", "If", "you", "do", "want", "to", "do", "this", ...
def execute_template(self, template): cleaned_template = template.replace('\r\n', '\n') path = "/tmp/" + str(uuid.uuid4()) f = open(path, "w+") f.write(cleaned_template) f.flush() time.sleep(.5) filename = f.name os.chmod(filename, 0700) f.close() ...
[ "def", "execute_template", "(", "self", ",", "template", ")", ":", "cleaned_template", "=", "template", ".", "replace", "(", "'\\r\\n'", ",", "'\\n'", ")", "path", "=", "\"/tmp/\"", "+", "str", "(", "uuid", ".", "uuid4", "(", ")", ")", "f", "=", "open"...
writes the template to a tmp file and executes it on the server.
[ "writes", "the", "template", "to", "a", "tmp", "file", "and", "executes", "it", "on", "the", "server", "." ]
[ "\"\"\"\n writes the template to a tmp file and executes it on the server.\n Potentially very dangerous. You probably shouldn\"t do this!\n\n If you do want to do this ( you shouldn\"t ), your script should\n look for the device endpoint parameters stored in the env as\n ENDPOINT_...
[ { "param": "self", "type": null }, { "param": "template", "type": null } ]
{ "returns": [ { "docstring": "String results from the output of the script", "docstring_tokens": [ "String", "results", "from", "the", "output", "of", "the", "script" ], "type": null } ], "raises": [], "params": [ ...
3c730c302d1c0227c801997b27d04ea3b4bfd31f
nembery/aframe
endpoints/plugins/JunosSpaceDeviceList.py
[ "Apache-2.0" ]
Python
load_instance_config
<not_specific>
def load_instance_config(self, config): """ set the configuration on the object :param instance_config: the configuration from the endpoint group settings """ self.username = self.get_config_value("username") self.password = self.get_config_value("password") self....
set the configuration on the object :param instance_config: the configuration from the endpoint group settings
set the configuration on the object
[ "set", "the", "configuration", "on", "the", "object" ]
def load_instance_config(self, config): self.username = self.get_config_value("username") self.password = self.get_config_value("password") self.host = self.get_config_value("host") self.load_iterator() return None
[ "def", "load_instance_config", "(", "self", ",", "config", ")", ":", "self", ".", "username", "=", "self", ".", "get_config_value", "(", "\"username\"", ")", "self", ".", "password", "=", "self", ".", "get_config_value", "(", "\"password\"", ")", "self", "."...
set the configuration on the object
[ "set", "the", "configuration", "on", "the", "object" ]
[ "\"\"\"\n set the configuration on the object\n :param instance_config: the configuration from the endpoint group settings\n \"\"\"" ]
[ { "param": "self", "type": null }, { "param": "config", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "config", "type": null, "docstring": null, "docstring_tokens":...
c5a83c3558972f41a86112cc2a315f7b5d8694dc
nembery/aframe
endpoints/plugins/NmapDiscovery.py
[ "Apache-2.0" ]
Python
load_instance_config
<not_specific>
def load_instance_config(self, config): """ Attempt to load the results from the cache. If no cache exists, run a new scan and cache those results :param data: configuration data from the settings.py file :return: None """ global results # remove "/" from network...
Attempt to load the results from the cache. If no cache exists, run a new scan and cache those results :param data: configuration data from the settings.py file :return: None
Attempt to load the results from the cache. If no cache exists, run a new scan and cache those results
[ "Attempt", "to", "load", "the", "results", "from", "the", "cache", ".", "If", "no", "cache", "exists", "run", "a", "new", "scan", "and", "cache", "those", "results" ]
def load_instance_config(self, config): global results cache_network_name = self.get_config_value("network").replace("/", "-") cache_key_name = "NmapDiscovery_%s" % cache_network_name results = cache.get(cache_key_name) if results is None: print "No results found - pe...
[ "def", "load_instance_config", "(", "self", ",", "config", ")", ":", "global", "results", "cache_network_name", "=", "self", ".", "get_config_value", "(", "\"network\"", ")", ".", "replace", "(", "\"/\"", ",", "\"-\"", ")", "cache_key_name", "=", "\"NmapDiscover...
Attempt to load the results from the cache.
[ "Attempt", "to", "load", "the", "results", "from", "the", "cache", "." ]
[ "\"\"\"\n Attempt to load the results from the cache. If no cache exists, run a new scan and cache those results\n :param data: configuration data from the settings.py file\n :return: None\n \"\"\"", "# remove \"/\" from network name so we can use it for our cache", "# query the cach...
[ { "param": "self", "type": null }, { "param": "config", "type": null } ]
{ "returns": [ { "docstring": null, "docstring_tokens": [ "None" ], "type": null } ], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null ...
1fa78cba4f84e038b43dd4a5eb74cf1c80eff316
nembery/aframe
a_frame/utils/action_providers/NetconfAction.py
[ "Apache-2.0" ]
Python
execute_template
<not_specific>
def execute_template(self, template): """ switches based on request_type chosen from template configuration :param template: :return: String results from the endpoint netconf subsystem """ if self.dev is None: return self.result_msg if self.request_t...
switches based on request_type chosen from template configuration :param template: :return: String results from the endpoint netconf subsystem
switches based on request_type chosen from template configuration
[ "switches", "based", "on", "request_type", "chosen", "from", "template", "configuration" ]
def execute_template(self, template): if self.dev is None: return self.result_msg if self.request_type == "apply_template": return self.apply_template(template) elif self.request_type == "execute_cheat_command": return self.execute_cheat_command(template) ...
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switches based on request_type chosen from template configuration
[ "switches", "based", "on", "request_type", "chosen", "from", "template", "configuration" ]
[ "\"\"\"\n switches based on request_type chosen from template configuration\n\n :param template:\n :return: String results from the endpoint netconf subsystem\n \"\"\"" ]
[ { "param": "self", "type": null }, { "param": "template", "type": null } ]
{ "returns": [ { "docstring": "String results from the endpoint netconf subsystem", "docstring_tokens": [ "String", "results", "from", "the", "endpoint", "netconf", "subsystem" ], "type": null } ], "raises": [], "params": [ ...
1fa78cba4f84e038b43dd4a5eb74cf1c80eff316
nembery/aframe
a_frame/utils/action_providers/NetconfAction.py
[ "Apache-2.0" ]
Python
format_results
<not_specific>
def format_results(results): """ detects string format (xml || json) and formats appropriately :param results: string from urlopen :return: formatted string output """ # print results try: if type(results) is str: results = etree.froms...
detects string format (xml || json) and formats appropriately :param results: string from urlopen :return: formatted string output
detects string format (xml || json) and formats appropriately
[ "detects", "string", "format", "(", "xml", "||", "json", ")", "and", "formats", "appropriately" ]
def format_results(results): try: if type(results) is str: results = etree.fromstring(results) print "found valid xml, formatting and returning" return etree.tostring(results, pretty_print=True) except XMLSyntaxError: pass except Va...
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detects string format (xml || json) and formats appropriately
[ "detects", "string", "format", "(", "xml", "||", "json", ")", "and", "formats", "appropriately" ]
[ "\"\"\"\n detects string format (xml || json) and formats appropriately\n\n :param results: string from urlopen\n :return: formatted string output\n \"\"\"", "# print results", "# use pretty_print if we have an xml document returned", "# is the result valid json?" ]
[ { "param": "results", "type": null } ]
{ "returns": [ { "docstring": "formatted string output", "docstring_tokens": [ "formatted", "string", "output" ], "type": null } ], "raises": [], "params": [ { "identifier": "results", "type": null, "docstring": "string from urlopen",...
5f4f5d1a053a4611b27d34b478ed443802b5d1c9
nembery/aframe
a_frame/utils/action_providers/GitAction.py
[ "Apache-2.0" ]
Python
execute_template
<not_specific>
def execute_template(self, template): """ We now have the global config (if any), the instance config, and the completed template from the input_form and can perform the desired request :param template: the completed template from the user or API :return Boolean based on executio...
We now have the global config (if any), the instance config, and the completed template from the input_form and can perform the desired request :param template: the completed template from the user or API :return Boolean based on execution outcome.
We now have the global config (if any), the instance config, and the completed template from the input_form and can perform the desired request :param template: the completed template from the user or API :return Boolean based on execution outcome.
[ "We", "now", "have", "the", "global", "config", "(", "if", "any", ")", "the", "instance", "config", "and", "the", "completed", "template", "from", "the", "input_form", "and", "can", "perform", "the", "desired", "request", ":", "param", "template", ":", "th...
def execute_template(self, template): print "executing %s" % template local_directory = '/var/cache/aframe/' + self.repository_name if not os.path.exists(self.local_directory): os.makedirs(self.local_directory) try: repo = git.Repo(self.local_directory) ex...
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We now have the global config (if any), the instance config, and the completed template from the input_form and can perform the desired request :param template: the completed template from the user or API :return Boolean based on execution outcome.
[ "We", "now", "have", "the", "global", "config", "(", "if", "any", ")", "the", "instance", "config", "and", "the", "completed", "template", "from", "the", "input_form", "and", "can", "perform", "the", "desired", "request", ":", "param", "template", ":", "th...
[ "\"\"\"\n We now have the global config (if any), the instance config, and the completed template from the input_form\n and can perform the desired request\n :param template: the completed template from the user or API\n :return Boolean based on execution outcome.\n \"\"\"", "# ...
[ { "param": "self", "type": null }, { "param": "template", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "template", "type": null, "docstring": null, "docstring_tokens...
5f4f5d1a053a4611b27d34b478ed443802b5d1c9
nembery/aframe
a_frame/utils/action_providers/GitAction.py
[ "Apache-2.0" ]
Python
format_results
<not_specific>
def format_results(results): """ detects string format (xml || json) and formats appropriately :param results: string from urlopen :return: formatted string output """ # use pretty_print if we have an xml document returned if results.startswith("<?xml"): ...
detects string format (xml || json) and formats appropriately :param results: string from urlopen :return: formatted string output
detects string format (xml || json) and formats appropriately
[ "detects", "string", "format", "(", "xml", "||", "json", ")", "and", "formats", "appropriately" ]
def format_results(results): if results.startswith("<?xml"): print "Found XML results - using pretty_print" print results xml = etree.fromstring(results) return etree.tostring(xml, pretty_print=True) try: json_string = json.loads(results) ...
[ "def", "format_results", "(", "results", ")", ":", "if", "results", ".", "startswith", "(", "\"<?xml\"", ")", ":", "print", "\"Found XML results - using pretty_print\"", "print", "results", "xml", "=", "etree", ".", "fromstring", "(", "results", ")", "return", "...
detects string format (xml || json) and formats appropriately
[ "detects", "string", "format", "(", "xml", "||", "json", ")", "and", "formats", "appropriately" ]
[ "\"\"\"\n detects string format (xml || json) and formats appropriately\n\n :param results: string from urlopen\n :return: formatted string output\n \"\"\"", "# use pretty_print if we have an xml document returned", "# is the result valid json?", "# this isn't xml or json, so just ...
[ { "param": "results", "type": null } ]
{ "returns": [ { "docstring": "formatted string output", "docstring_tokens": [ "formatted", "string", "output" ], "type": null } ], "raises": [], "params": [ { "identifier": "results", "type": null, "docstring": "string from urlopen",...
5f4f5d1a053a4611b27d34b478ed443802b5d1c9
nembery/aframe
a_frame/utils/action_providers/GitAction.py
[ "Apache-2.0" ]
Python
connect_to_keystone
<not_specific>
def connect_to_keystone(self): """ connects to Keystone in the specified project scope :return: boolean if successful """ _auth_json = """ { "auth": { "identity": { "methods": ["password"], "password": { ...
connects to Keystone in the specified project scope :return: boolean if successful
connects to Keystone in the specified project scope
[ "connects", "to", "Keystone", "in", "the", "specified", "project", "scope" ]
def connect_to_keystone(self): _auth_json = """ { "auth": { "identity": { "methods": ["password"], "password": { "user": { "name": "%s", "domain": { "id": "default" }, ...
[ "def", "connect_to_keystone", "(", "self", ")", ":", "_auth_json", "=", "\"\"\"\n { \"auth\": {\n \"identity\": {\n \"methods\": [\"password\"],\n \"password\": {\n \"user\": {\n \"name\": \"%s\",\n ...
connects to Keystone in the specified project scope
[ "connects", "to", "Keystone", "in", "the", "specified", "project", "scope" ]
[ "\"\"\"\n connects to Keystone in the specified project scope\n\n :return: boolean if successful\n\n \"\"\"" ]
[ { "param": "self", "type": null } ]
{ "returns": [ { "docstring": "boolean if successful", "docstring_tokens": [ "boolean", "if", "successful" ], "type": null } ], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens...
5f4f5d1a053a4611b27d34b478ed443802b5d1c9
nembery/aframe
a_frame/utils/action_providers/GitAction.py
[ "Apache-2.0" ]
Python
connect_to_oauth2
<not_specific>
def connect_to_oauth2(self): """ connects to OAuth2 with the specified user and password :return: boolean if successful """ _auth_json = """ { "grant_type": "password", "username": "%s", "password": "%s" } """ % (...
connects to OAuth2 with the specified user and password :return: boolean if successful
connects to OAuth2 with the specified user and password
[ "connects", "to", "OAuth2", "with", "the", "specified", "user", "and", "password" ]
def connect_to_oauth2(self): _auth_json = """ { "grant_type": "password", "username": "%s", "password": "%s" } """ % (self.username, self.password) full_url = self.protocol + "://" + self.host + self._oauth2_auth_path print full_url...
[ "def", "connect_to_oauth2", "(", "self", ")", ":", "_auth_json", "=", "\"\"\"\n { \"grant_type\": \"password\",\n \"username\": \"%s\",\n \"password\": \"%s\"\n }\n \"\"\"", "%", "(", "self", ".", "username", ",", "self", "."...
connects to OAuth2 with the specified user and password
[ "connects", "to", "OAuth2", "with", "the", "specified", "user", "and", "password" ]
[ "\"\"\"\n connects to OAuth2 with the specified user and password\n\n :return: boolean if successful\n\n \"\"\"", "# disables SSL cert checking!" ]
[ { "param": "self", "type": null } ]
{ "returns": [ { "docstring": "boolean if successful", "docstring_tokens": [ "boolean", "if", "successful" ], "type": null } ], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens...
5f4f5d1a053a4611b27d34b478ed443802b5d1c9
nembery/aframe
a_frame/utils/action_providers/GitAction.py
[ "Apache-2.0" ]
Python
connect_to_ruckus
<not_specific>
def connect_to_ruckus(self): """ connects to Ruckus REST server to get a Cookie with the specified user and password :return: boolean if successful """ _auth_json = """ { "username" : "%s", "password" : "%s" } """ % (s...
connects to Ruckus REST server to get a Cookie with the specified user and password :return: boolean if successful
connects to Ruckus REST server to get a Cookie with the specified user and password
[ "connects", "to", "Ruckus", "REST", "server", "to", "get", "a", "Cookie", "with", "the", "specified", "user", "and", "password" ]
def connect_to_ruckus(self): _auth_json = """ { "username" : "%s", "password" : "%s" } """ % (self.username, self.password) full_url = self.protocol + "://" + self.host + self._ruckus_auth_path print full_url request = urllib2.Re...
[ "def", "connect_to_ruckus", "(", "self", ")", ":", "_auth_json", "=", "\"\"\"\n {\n \"username\" : \"%s\",\n \"password\" : \"%s\"\n }\n \"\"\"", "%", "(", "self", ".", "username", ",", "self", ".", "password", ")", "full_ur...
connects to Ruckus REST server to get a Cookie with the specified user and password
[ "connects", "to", "Ruckus", "REST", "server", "to", "get", "a", "Cookie", "with", "the", "specified", "user", "and", "password" ]
[ "\"\"\"\n connects to Ruckus REST server to get a Cookie with the specified user and password\n\n :return: boolean if successful\n\n \"\"\"", "# disables SSL cert checking!" ]
[ { "param": "self", "type": null } ]
{ "returns": [ { "docstring": "boolean if successful", "docstring_tokens": [ "boolean", "if", "successful" ], "type": null } ], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens...
7d926dd681e7d2854aecf4b837be6de4d581c361
nembery/aframe
tools/views.py
[ "Apache-2.0" ]
Python
clone
<not_specific>
def clone(request, template_id): """ Clones a template. Allows quickly creating new templates from existing ones. :param request: :param template_id: id of the template to be cloned :return: redirect to edit screen of new template! """ template = get_object_or_404(ConfigTemplate, pk=templat...
Clones a template. Allows quickly creating new templates from existing ones. :param request: :param template_id: id of the template to be cloned :return: redirect to edit screen of new template!
Clones a template. Allows quickly creating new templates from existing ones.
[ "Clones", "a", "template", ".", "Allows", "quickly", "creating", "new", "templates", "from", "existing", "ones", "." ]
def clone(request, template_id): template = get_object_or_404(ConfigTemplate, pk=template_id) dolly = ConfigTemplate() dolly.name = template.name + " Clone" dolly.description = template.description dolly.action_provider = template.action_provider dolly.action_provider_options = template.action_p...
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Clones a template.
[ "Clones", "a", "template", "." ]
[ "\"\"\"\n Clones a template. Allows quickly creating new templates from existing ones.\n\n :param request:\n :param template_id: id of the template to be cloned\n :return: redirect to edit screen of new template!\n \"\"\"", "# create our Dolly the sheep (clone)", "# attempt to save any existing i...
[ { "param": "request", "type": null }, { "param": "template_id", "type": null } ]
{ "returns": [ { "docstring": "redirect to edit screen of new template!", "docstring_tokens": [ "redirect", "to", "edit", "screen", "of", "new", "template!" ], "type": null } ], "raises": [], "params": [ { "identif...
7d926dd681e7d2854aecf4b837be6de4d581c361
nembery/aframe
tools/views.py
[ "Apache-2.0" ]
Python
execute_template
<not_specific>
def execute_template(request): """ Executes an automation template, you must supply at least a template_id or template_name If the automation template requires input parameters or action options, those must also be supplied as well :param request: HTTPRequest :return: json object of the form: ...
Executes an automation template, you must supply at least a template_id or template_name If the automation template requires input parameters or action options, those must also be supplied as well :param request: HTTPRequest :return: json object of the form: {"output": "output of the automatio...
Executes an automation template, you must supply at least a template_id or template_name If the automation template requires input parameters or action options, those must also be supplied as well
[ "Executes", "an", "automation", "template", "you", "must", "supply", "at", "least", "a", "template_id", "or", "template_name", "If", "the", "automation", "template", "requires", "input", "parameters", "or", "action", "options", "those", "must", "also", "be", "su...
def execute_template(request): post_vars = request.POST.dict() response = aframe_utils.execute_template(post_vars) return HttpResponse(json.dumps(response), content_type="application/json")
[ "def", "execute_template", "(", "request", ")", ":", "post_vars", "=", "request", ".", "POST", ".", "dict", "(", ")", "response", "=", "aframe_utils", ".", "execute_template", "(", "post_vars", ")", "return", "HttpResponse", "(", "json", ".", "dumps", "(", ...
Executes an automation template, you must supply at least a template_id or template_name If the automation template requires input parameters or action options, those must also be supplied as well
[ "Executes", "an", "automation", "template", "you", "must", "supply", "at", "least", "a", "template_id", "or", "template_name", "If", "the", "automation", "template", "requires", "input", "parameters", "or", "action", "options", "those", "must", "also", "be", "su...
[ "\"\"\"\n Executes an automation template, you must supply at least a template_id or template_name\n If the automation template requires input parameters or action options, those must also be supplied as well\n\n :param request: HTTPRequest\n :return: json object of the form:\n {\"output\": \"out...
[ { "param": "request", "type": null } ]
{ "returns": [ { "docstring": "json object of the form:\n{\"output\": \"output of the automation template\", \"status\": \"0 or 1 for success or failure\"", "docstring_tokens": [ "json", "object", "of", "the", "form", ":", "{", "\"", ...
7d926dd681e7d2854aecf4b837be6de4d581c361
nembery/aframe
tools/views.py
[ "Apache-2.0" ]
Python
search
<not_specific>
def search(request): """ used for UI autocomplete searches. Only used on the endpoint details page. Filter out standalone type templates :param request: :return: """ term = request.GET["term"] template_list = ConfigTemplate.objects.filter(name__contains=term) results = [] for templat...
used for UI autocomplete searches. Only used on the endpoint details page. Filter out standalone type templates :param request: :return:
used for UI autocomplete searches. Only used on the endpoint details page. Filter out standalone type templates
[ "used", "for", "UI", "autocomplete", "searches", ".", "Only", "used", "on", "the", "endpoint", "details", "page", ".", "Filter", "out", "standalone", "type", "templates" ]
def search(request): term = request.GET["term"] template_list = ConfigTemplate.objects.filter(name__contains=term) results = [] for template in template_list: results.append(template.name) return HttpResponse(json.dumps(results), content_type="application/json")
[ "def", "search", "(", "request", ")", ":", "term", "=", "request", ".", "GET", "[", "\"term\"", "]", "template_list", "=", "ConfigTemplate", ".", "objects", ".", "filter", "(", "name__contains", "=", "term", ")", "results", "=", "[", "]", "for", "templat...
used for UI autocomplete searches.
[ "used", "for", "UI", "autocomplete", "searches", "." ]
[ "\"\"\"\n used for UI autocomplete searches. Only used on the endpoint details page. Filter out standalone type templates\n :param request:\n :return:\n \"\"\"" ]
[ { "param": "request", "type": null } ]
{ "returns": [ { "docstring": null, "docstring_tokens": [ "None" ], "type": null } ], "raises": [], "params": [ { "identifier": "request", "type": null, "docstring": null, "docstring_tokens": [ "None" ], "default": null, ...
7d926dd681e7d2854aecf4b837be6de4d581c361
nembery/aframe
tools/views.py
[ "Apache-2.0" ]
Python
chain_template
<not_specific>
def chain_template(request): """ Populates the input_variables of one template from POSTed form data or json encoded http request body This allows you to chain the output of one template to another one if the input_variable of a template is in the form 'some.variable.with.periods' then the input jso...
Populates the input_variables of one template from POSTed form data or json encoded http request body This allows you to chain the output of one template to another one if the input_variable of a template is in the form 'some.variable.with.periods' then the input json object will be searched for that v...
Populates the input_variables of one template from POSTed form data or json encoded http request body This allows you to chain the output of one template to another one if the input_variable of a template is in the form 'some.variable.with.periods' then the input json object will be searched for that value
[ "Populates", "the", "input_variables", "of", "one", "template", "from", "POSTed", "form", "data", "or", "json", "encoded", "http", "request", "body", "This", "allows", "you", "to", "chain", "the", "output", "of", "one", "template", "to", "another", "one", "i...
def chain_template(request): print(request.META["CONTENT_TYPE"]) if request.META["CONTENT_TYPE"] == "application/json": try: data = json.loads(request.body) template_id = data["template_id"] except ValueError: error = {"output": "missing required template_id p...
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Populates the input_variables of one template from POSTed form data or json encoded http request body This allows you to chain the output of one template to another one if the input_variable of a template is in the form 'some.variable.with.periods' then the input json object will be searched for that value
[ "Populates", "the", "input_variables", "of", "one", "template", "from", "POSTed", "form", "data", "or", "json", "encoded", "http", "request", "body", "This", "allows", "you", "to", "chain", "the", "output", "of", "one", "template", "to", "another", "one", "i...
[ "\"\"\"\n Populates the input_variables of one template from POSTed form data or json encoded http request body\n This allows you to chain the output of one template to another one\n if the input_variable of a template is in the form 'some.variable.with.periods'\n then the input json object will be sear...
[ { "param": "request", "type": null } ]
{ "returns": [ { "docstring": "the output of the template specified by the template_id parameter", "docstring_tokens": [ "the", "output", "of", "the", "template", "specified", "by", "the", "template_id", "parameter" ...
236414ccc4d2eb6232fe527242dac74e79a5575b
nembery/aframe
a_frame/utils/action_providers/RestAction.py
[ "Apache-2.0" ]
Python
execute_template
<not_specific>
def execute_template(self, template): """ We now have the global config (if any), the instance config, and the completed template from the input_form and can perform the desired request :param template: the completed template from the user or API :return Boolean based on executio...
We now have the global config (if any), the instance config, and the completed template from the input_form and can perform the desired request :param template: the completed template from the user or API :return Boolean based on execution outcome.
We now have the global config (if any), the instance config, and the completed template from the input_form and can perform the desired request :param template: the completed template from the user or API :return Boolean based on execution outcome.
[ "We", "now", "have", "the", "global", "config", "(", "if", "any", ")", "the", "instance", "config", "and", "the", "completed", "template", "from", "the", "input_form", "and", "can", "perform", "the", "desired", "request", ":", "param", "template", ":", "th...
def execute_template(self, template): print("executing %s" % template) if not self.url.startswith(':') and not self.url.startswith('/'): self.url = "/" + self.url handler = urllib2.HTTPHandler(debuglevel=1) opener = urllib2.build_opener(handler) urllib2.install_opener...
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We now have the global config (if any), the instance config, and the completed template from the input_form and can perform the desired request :param template: the completed template from the user or API :return Boolean based on execution outcome.
[ "We", "now", "have", "the", "global", "config", "(", "if", "any", ")", "the", "instance", "config", "and", "the", "completed", "template", "from", "the", "input_form", "and", "can", "perform", "the", "desired", "request", ":", "param", "template", ":", "th...
[ "\"\"\"\n We now have the global config (if any), the instance config, and the completed template from the input_form\n and can perform the desired request\n :param template: the completed template from the user or API\n :return Boolean based on execution outcome.\n \"\"\"", "# ...
[ { "param": "self", "type": null }, { "param": "template", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "template", "type": null, "docstring": null, "docstring_tokens...
236414ccc4d2eb6232fe527242dac74e79a5575b
nembery/aframe
a_frame/utils/action_providers/RestAction.py
[ "Apache-2.0" ]
Python
__connect_to_keystone
<not_specific>
def __connect_to_keystone(self): """ connects to Keystone in the specified project scope :return: boolean if successful """ _auth_json = """ { "auth": { "identity": { "methods": ["password"], "password": { ...
connects to Keystone in the specified project scope :return: boolean if successful
connects to Keystone in the specified project scope
[ "connects", "to", "Keystone", "in", "the", "specified", "project", "scope" ]
def __connect_to_keystone(self): _auth_json = """ { "auth": { "identity": { "methods": ["password"], "password": { "user": { "name": "%s", "domain": { "id": "default" }, ...
[ "def", "__connect_to_keystone", "(", "self", ")", ":", "_auth_json", "=", "\"\"\"\n { \"auth\": {\n \"identity\": {\n \"methods\": [\"password\"],\n \"password\": {\n \"user\": {\n \"name\": \"%s\",\n...
connects to Keystone in the specified project scope
[ "connects", "to", "Keystone", "in", "the", "specified", "project", "scope" ]
[ "\"\"\"\n connects to Keystone in the specified project scope\n\n :return: boolean if successful\n\n \"\"\"" ]
[ { "param": "self", "type": null } ]
{ "returns": [ { "docstring": "boolean if successful", "docstring_tokens": [ "boolean", "if", "successful" ], "type": null } ], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens...
236414ccc4d2eb6232fe527242dac74e79a5575b
nembery/aframe
a_frame/utils/action_providers/RestAction.py
[ "Apache-2.0" ]
Python
__connect_to_oauth2
<not_specific>
def __connect_to_oauth2(self): """ connects to OAuth2 with the specified user and password :return: boolean if successful """ _auth_json = """ { "grant_type": "password", "username": "%s", "password": "%s" } """ %...
connects to OAuth2 with the specified user and password :return: boolean if successful
connects to OAuth2 with the specified user and password
[ "connects", "to", "OAuth2", "with", "the", "specified", "user", "and", "password" ]
def __connect_to_oauth2(self): _auth_json = """ { "grant_type": "password", "username": "%s", "password": "%s" } """ % (self.username, self.password) full_url = self.protocol + "://" + self.host + self._oauth2_auth_path print(full_u...
[ "def", "__connect_to_oauth2", "(", "self", ")", ":", "_auth_json", "=", "\"\"\"\n { \"grant_type\": \"password\",\n \"username\": \"%s\",\n \"password\": \"%s\"\n }\n \"\"\"", "%", "(", "self", ".", "username", ",", "self", "...
connects to OAuth2 with the specified user and password
[ "connects", "to", "OAuth2", "with", "the", "specified", "user", "and", "password" ]
[ "\"\"\"\n connects to OAuth2 with the specified user and password\n\n :return: boolean if successful\n\n \"\"\"" ]
[ { "param": "self", "type": null } ]
{ "returns": [ { "docstring": "boolean if successful", "docstring_tokens": [ "boolean", "if", "successful" ], "type": null } ], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens...
236414ccc4d2eb6232fe527242dac74e79a5575b
nembery/aframe
a_frame/utils/action_providers/RestAction.py
[ "Apache-2.0" ]
Python
__connect_to_ruckus
<not_specific>
def __connect_to_ruckus(self): """ connects to Ruckus REST server to get a Cookie with the specified user and password :return: boolean if successful """ _auth_json = """ { "username" : "%s", "password" : "%s" } """ % ...
connects to Ruckus REST server to get a Cookie with the specified user and password :return: boolean if successful
connects to Ruckus REST server to get a Cookie with the specified user and password
[ "connects", "to", "Ruckus", "REST", "server", "to", "get", "a", "Cookie", "with", "the", "specified", "user", "and", "password" ]
def __connect_to_ruckus(self): _auth_json = """ { "username" : "%s", "password" : "%s" } """ % (self.username, self.password) full_url = self.protocol + "://" + self.host + self._ruckus_auth_path print(full_url) request = urllib2...
[ "def", "__connect_to_ruckus", "(", "self", ")", ":", "_auth_json", "=", "\"\"\"\n {\n \"username\" : \"%s\",\n \"password\" : \"%s\"\n }\n \"\"\"", "%", "(", "self", ".", "username", ",", "self", ".", "password", ")", "full_...
connects to Ruckus REST server to get a Cookie with the specified user and password
[ "connects", "to", "Ruckus", "REST", "server", "to", "get", "a", "Cookie", "with", "the", "specified", "user", "and", "password" ]
[ "\"\"\"\n connects to Ruckus REST server to get a Cookie with the specified user and password\n\n :return: boolean if successful\n\n \"\"\"" ]
[ { "param": "self", "type": null } ]
{ "returns": [ { "docstring": "boolean if successful", "docstring_tokens": [ "boolean", "if", "successful" ], "type": null } ], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens...
236414ccc4d2eb6232fe527242dac74e79a5575b
nembery/aframe
a_frame/utils/action_providers/RestAction.py
[ "Apache-2.0" ]
Python
__connect_to_saltapi
<not_specific>
def __connect_to_saltapi(self): """ connects to salt api endpoint to get a token with the specified user and password defaults to 'pam' eauth method :return: boolean if successful """ _auth_json = """ { "username" : "%s", "pa...
connects to salt api endpoint to get a token with the specified user and password defaults to 'pam' eauth method :return: boolean if successful
connects to salt api endpoint to get a token with the specified user and password defaults to 'pam' eauth method
[ "connects", "to", "salt", "api", "endpoint", "to", "get", "a", "token", "with", "the", "specified", "user", "and", "password", "defaults", "to", "'", "pam", "'", "eauth", "method" ]
def __connect_to_saltapi(self): _auth_json = """ { "username" : "%s", "password" : "%s", "eauth": "pam" } """ % (self.username, self.password) full_url = self.protocol + "://" + self.host + self._saltapi_auth_path print(full_...
[ "def", "__connect_to_saltapi", "(", "self", ")", ":", "_auth_json", "=", "\"\"\"\n {\n \"username\" : \"%s\",\n \"password\" : \"%s\",\n \"eauth\": \"pam\"\n }\n \"\"\"", "%", "(", "self", ".", "username", ",", "self", ...
connects to salt api endpoint to get a token with the specified user and password defaults to 'pam' eauth method
[ "connects", "to", "salt", "api", "endpoint", "to", "get", "a", "token", "with", "the", "specified", "user", "and", "password", "defaults", "to", "'", "pam", "'", "eauth", "method" ]
[ "\"\"\"\n connects to salt api endpoint to get a token with the specified user and password\n \n defaults to 'pam' eauth method\n\n :return: boolean if successful\n\n \"\"\"", "# catch the case where the result object is not a valid respone,", "# i.e. an error string or None" ...
[ { "param": "self", "type": null } ]
{ "returns": [ { "docstring": "boolean if successful", "docstring_tokens": [ "boolean", "if", "successful" ], "type": null } ], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens...
236414ccc4d2eb6232fe527242dac74e79a5575b
nembery/aframe
a_frame/utils/action_providers/RestAction.py
[ "Apache-2.0" ]
Python
__format_results
<not_specific>
def __format_results(results): """ detects string format (xml || json) and formats appropriately :param results: string from urlopen :return: formatted string output """ if results is None: print("no actual results to process") return results ...
detects string format (xml || json) and formats appropriately :param results: string from urlopen :return: formatted string output
detects string format (xml || json) and formats appropriately
[ "detects", "string", "format", "(", "xml", "||", "json", ")", "and", "formats", "appropriately" ]
def __format_results(results): if results is None: print("no actual results to process") return results try: if type(results) == "str" and results.startswith("<?xml"): print("Found XML results - using pretty_print") print(results) ...
[ "def", "__format_results", "(", "results", ")", ":", "if", "results", "is", "None", ":", "print", "(", "\"no actual results to process\"", ")", "return", "results", "try", ":", "if", "type", "(", "results", ")", "==", "\"str\"", "and", "results", ".", "start...
detects string format (xml || json) and formats appropriately
[ "detects", "string", "format", "(", "xml", "||", "json", ")", "and", "formats", "appropriately" ]
[ "\"\"\"\n detects string format (xml || json) and formats appropriately\n\n :param results: string from urlopen\n :return: formatted string output\n \"\"\"", "# use pretty_print(if we have an xml document returned)", "# is the result valid json?", "# this isn't xml or json, so just...
[ { "param": "results", "type": null } ]
{ "returns": [ { "docstring": "formatted string output", "docstring_tokens": [ "formatted", "string", "output" ], "type": null } ], "raises": [], "params": [ { "identifier": "results", "type": null, "docstring": "string from urlopen",...
d4c49e33bd2b8c573c10f4c41f15d841eda26183
nembery/aframe
screens/views.py
[ "Apache-2.0" ]
Python
load_widget_config
<not_specific>
def load_widget_config(request): """ Load the configuration for a given screen widget :param request: http request :return: html template """ logger.info("__ screens load_widget_config __") required_fields = set(["widget_id", "widget_layout_id"]) if not required_fields.issubset(request.P...
Load the configuration for a given screen widget :param request: http request :return: html template
Load the configuration for a given screen widget
[ "Load", "the", "configuration", "for", "a", "given", "screen", "widget" ]
def load_widget_config(request): logger.info("__ screens load_widget_config __") required_fields = set(["widget_id", "widget_layout_id"]) if not required_fields.issubset(request.POST): logger.error("Did no find all required fields in request") return render(request, "overlay_basic.html", {"m...
[ "def", "load_widget_config", "(", "request", ")", ":", "logger", ".", "info", "(", "\"__ screens load_widget_config __\"", ")", "required_fields", "=", "set", "(", "[", "\"widget_id\"", ",", "\"widget_layout_id\"", "]", ")", "if", "not", "required_fields", ".", "i...
Load the configuration for a given screen widget
[ "Load", "the", "configuration", "for", "a", "given", "screen", "widget" ]
[ "\"\"\"\n Load the configuration for a given screen widget\n :param request: http request\n :return: html template\n \"\"\"", "# grab the widget global configuration if it exists and set on the context", "# FIXME - widget_type and widget_id are used interchangeably, this should just be widget_id bas...
[ { "param": "request", "type": null } ]
{ "returns": [ { "docstring": null, "docstring_tokens": [ "None" ], "type": null } ], "raises": [], "params": [ { "identifier": "request", "type": null, "docstring": null, "docstring_tokens": [ "None" ], "default": null, ...
d4c49e33bd2b8c573c10f4c41f15d841eda26183
nembery/aframe
screens/views.py
[ "Apache-2.0" ]
Python
load_widget
<not_specific>
def load_widget(request): """ Load the configuration for a given screen widget Widgets can provide any functionality to the screen widgets can store data in 3 different places: Global widget configuration is stored in the ScreenWidgetConfig db table Global widget data is stored in the S...
Load the configuration for a given screen widget Widgets can provide any functionality to the screen widgets can store data in 3 different places: Global widget configuration is stored in the ScreenWidgetConfig db table Global widget data is stored in the ScreenWidgetData db table ...
Load the configuration for a given screen widget Widgets can provide any functionality to the screen widgets can store data in 3 different places: Global widget configuration is stored in the ScreenWidgetConfig db table Global widget data is stored in the ScreenWidgetData db table Per Screen / Per Widget instance data ...
[ "Load", "the", "configuration", "for", "a", "given", "screen", "widget", "Widgets", "can", "provide", "any", "functionality", "to", "the", "screen", "widgets", "can", "store", "data", "in", "3", "different", "places", ":", "Global", "widget", "configuration", ...
def load_widget(request): logger.info("__ screens load_widget_ __") required_fields = set(["widget_id"]) if not required_fields.issubset(request.POST): logger.error("Did not find all required fields in request") return render(request, "error.html", {"error": "Invalid Parameters in POST"}) ...
[ "def", "load_widget", "(", "request", ")", ":", "logger", ".", "info", "(", "\"__ screens load_widget_ __\"", ")", "required_fields", "=", "set", "(", "[", "\"widget_id\"", "]", ")", "if", "not", "required_fields", ".", "issubset", "(", "request", ".", "POST",...
Load the configuration for a given screen widget Widgets can provide any functionality to the screen widgets can store data in 3 different places: Global widget configuration is stored in the ScreenWidgetConfig db table Global widget data is stored in the ScreenWidgetData db table Per Screen / Per Widget instance data ...
[ "Load", "the", "configuration", "for", "a", "given", "screen", "widget", "Widgets", "can", "provide", "any", "functionality", "to", "the", "screen", "widgets", "can", "store", "data", "in", "3", "different", "places", ":", "Global", "widget", "configuration", ...
[ "\"\"\"\n Load the configuration for a given screen widget\n\n Widgets can provide any functionality to the screen\n widgets can store data in 3 different places:\n Global widget configuration is stored in the ScreenWidgetConfig db table\n Global widget data is stored in the ScreenWidgetData ...
[ { "param": "request", "type": null } ]
{ "returns": [ { "docstring": null, "docstring_tokens": [ "None" ], "type": null } ], "raises": [], "params": [ { "identifier": "request", "type": null, "docstring": null, "docstring_tokens": [ "None" ], "default": null, ...
d4c49e33bd2b8c573c10f4c41f15d841eda26183
nembery/aframe
screens/views.py
[ "Apache-2.0" ]
Python
search
<not_specific>
def search(request): """ used for UI autocomplete searches. Only used on the endpoint details page. :param request: :return: dict containing label and value keys """ logger.info("__ screens search __") term = request.GET["term"] screen_list = Screen.objects.filter(Q(name__contains=term...
used for UI autocomplete searches. Only used on the endpoint details page. :param request: :return: dict containing label and value keys
used for UI autocomplete searches. Only used on the endpoint details page.
[ "used", "for", "UI", "autocomplete", "searches", ".", "Only", "used", "on", "the", "endpoint", "details", "page", "." ]
def search(request): logger.info("__ screens search __") term = request.GET["term"] screen_list = Screen.objects.filter(Q(name__contains=term) | Q(description__contains=term)) results = [] for screen in screen_list: r = dict() r["value"] = str(screen.id) r["label"] = screen.n...
[ "def", "search", "(", "request", ")", ":", "logger", ".", "info", "(", "\"__ screens search __\"", ")", "term", "=", "request", ".", "GET", "[", "\"term\"", "]", "screen_list", "=", "Screen", ".", "objects", ".", "filter", "(", "Q", "(", "name__contains", ...
used for UI autocomplete searches.
[ "used", "for", "UI", "autocomplete", "searches", "." ]
[ "\"\"\"\n used for UI autocomplete searches. Only used on the endpoint details page. \n :param request:\n :return: dict containing label and value keys\n \"\"\"" ]
[ { "param": "request", "type": null } ]
{ "returns": [ { "docstring": "dict containing label and value keys", "docstring_tokens": [ "dict", "containing", "label", "and", "value", "keys" ], "type": null } ], "raises": [], "params": [ { "identifier": "request", ...
77e0a207b3c7ed207bd14248c3c554fb7a6492e2
nembery/aframe
common/lib/aframe_utils.py
[ "Apache-2.0" ]
Python
_load_secrets
<not_specific>
def _load_secrets(): """ find the secrets.yml file in the 'conf' directory and return the yaml parsed value :return: secrets object in the form {'secrets': {'key': {'label': 'some label', 'value': 'some_password' } } } """ common_lib_dir = os.path.dirname(os.path.abspath(__file__)) conf_dir = os...
find the secrets.yml file in the 'conf' directory and return the yaml parsed value :return: secrets object in the form {'secrets': {'key': {'label': 'some label', 'value': 'some_password' } } }
find the secrets.yml file in the 'conf' directory and return the yaml parsed value
[ "find", "the", "secrets", ".", "yml", "file", "in", "the", "'", "conf", "'", "directory", "and", "return", "the", "yaml", "parsed", "value" ]
def _load_secrets(): common_lib_dir = os.path.dirname(os.path.abspath(__file__)) conf_dir = os.path.abspath(os.path.join(common_lib_dir, '../../conf')) secrets_file_path = os.path.join(conf_dir, 'secrets.yml') with open(secrets_file_path, 'r') as secrets_file: try: secrets = yaml.loa...
[ "def", "_load_secrets", "(", ")", ":", "common_lib_dir", "=", "os", ".", "path", ".", "dirname", "(", "os", ".", "path", ".", "abspath", "(", "__file__", ")", ")", "conf_dir", "=", "os", ".", "path", ".", "abspath", "(", "os", ".", "path", ".", "jo...
find the secrets.yml file in the 'conf' directory and return the yaml parsed value
[ "find", "the", "secrets", ".", "yml", "file", "in", "the", "'", "conf", "'", "directory", "and", "return", "the", "yaml", "parsed", "value" ]
[ "\"\"\"\n find the secrets.yml file in the 'conf' directory and return the yaml parsed value\n :return: secrets object in the form {'secrets': {'key': {'label': 'some label', 'value': 'some_password' } } }\n \"\"\"" ]
[]
{ "returns": [ { "docstring": "secrets object in the form {'secrets': {'key': {'label': 'some label', 'value': 'some_password' } } }", "docstring_tokens": [ "secrets", "object", "in", "the", "form", "{", "'", "secrets", "'", ...
77e0a207b3c7ed207bd14248c3c554fb7a6492e2
nembery/aframe
common/lib/aframe_utils.py
[ "Apache-2.0" ]
Python
lookup_secret
<not_specific>
def lookup_secret(key): """ load the secrets file and return the value by key :param key: key to use for lookup :return: string value of the secret """ secrets = _load_secrets() if 'secrets' in secrets: if key in secrets['secrets']: return secrets['secrets'][key]['value']...
load the secrets file and return the value by key :param key: key to use for lookup :return: string value of the secret
load the secrets file and return the value by key
[ "load", "the", "secrets", "file", "and", "return", "the", "value", "by", "key" ]
def lookup_secret(key): secrets = _load_secrets() if 'secrets' in secrets: if key in secrets['secrets']: return secrets['secrets'][key]['value'] else: logger.warn('desired secret key was not found!') return 'password123'
[ "def", "lookup_secret", "(", "key", ")", ":", "secrets", "=", "_load_secrets", "(", ")", "if", "'secrets'", "in", "secrets", ":", "if", "key", "in", "secrets", "[", "'secrets'", "]", ":", "return", "secrets", "[", "'secrets'", "]", "[", "key", "]", "["...
load the secrets file and return the value by key
[ "load", "the", "secrets", "file", "and", "return", "the", "value", "by", "key" ]
[ "\"\"\"\n load the secrets file and return the value by key\n :param key: key to use for lookup\n :return: string value of the secret\n \"\"\"" ]
[ { "param": "key", "type": null } ]
{ "returns": [ { "docstring": "string value of the secret", "docstring_tokens": [ "string", "value", "of", "the", "secret" ], "type": null } ], "raises": [], "params": [ { "identifier": "key", "type": null, "docstring"...
77e0a207b3c7ed207bd14248c3c554fb7a6492e2
nembery/aframe
common/lib/aframe_utils.py
[ "Apache-2.0" ]
Python
execute_template
<not_specific>
def execute_template(post_vars): """ Refactored out of tools/views.py as this is used in a couple of different places (tools/views and screens/views) :param post_vars: copy of all variables passed in via the operation :return: response object of form {'output': whatever, 'status': 1 } """ if 'te...
Refactored out of tools/views.py as this is used in a couple of different places (tools/views and screens/views) :param post_vars: copy of all variables passed in via the operation :return: response object of form {'output': whatever, 'status': 1 }
Refactored out of tools/views.py as this is used in a couple of different places (tools/views and screens/views)
[ "Refactored", "out", "of", "tools", "/", "views", ".", "py", "as", "this", "is", "used", "in", "a", "couple", "of", "different", "places", "(", "tools", "/", "views", "and", "screens", "/", "views", ")" ]
def execute_template(post_vars): if 'template_id' not in post_vars and 'template_name' not in post_vars: error = {'output': 'missing required template_id or template_name parameter', 'status': 1} return error if 'template_id' in post_vars: template_id = int(post_vars['template_id']) ...
[ "def", "execute_template", "(", "post_vars", ")", ":", "if", "'template_id'", "not", "in", "post_vars", "and", "'template_name'", "not", "in", "post_vars", ":", "error", "=", "{", "'output'", ":", "'missing required template_id or template_name parameter'", ",", "'sta...
Refactored out of tools/views.py as this is used in a couple of different places (tools/views and screens/views)
[ "Refactored", "out", "of", "tools", "/", "views", ".", "py", "as", "this", "is", "used", "in", "a", "couple", "of", "different", "places", "(", "tools", "/", "views", "and", "screens", "/", "views", ")" ]
[ "\"\"\"\n Refactored out of tools/views.py as this is used in a couple of different places (tools/views and screens/views)\n :param post_vars: copy of all variables passed in via the operation\n :return: response object of form {'output': whatever, 'status': 1 }\n \"\"\"", "# compiled_template = get_t...
[ { "param": "post_vars", "type": null } ]
{ "returns": [ { "docstring": "response object of form {'output': whatever, 'status': 1 }", "docstring_tokens": [ "response", "object", "of", "form", "{", "'", "output", "'", ":", "whatever", "'", "status",...
77e0a207b3c7ed207bd14248c3c554fb7a6492e2
nembery/aframe
common/lib/aframe_utils.py
[ "Apache-2.0" ]
Python
import_form
<not_specific>
def import_form(jd): """ Imports an input_from from serialized json data :param jd: json_data object generated from the export_input_form function :return: id of the input form or id of the input form if it already exists """ template_options = jd["template"] form_options = jd["form"] i...
Imports an input_from from serialized json data :param jd: json_data object generated from the export_input_form function :return: id of the input form or id of the input form if it already exists
Imports an input_from from serialized json data
[ "Imports", "an", "input_from", "from", "serialized", "json", "data" ]
def import_form(jd): template_options = jd["template"] form_options = jd["form"] if not ConfigTemplate.objects.filter(name=template_options['name']).exists(): template = ConfigTemplate() template.name = template_options["name"] template.description = template_options["description"] ...
[ "def", "import_form", "(", "jd", ")", ":", "template_options", "=", "jd", "[", "\"template\"", "]", "form_options", "=", "jd", "[", "\"form\"", "]", "if", "not", "ConfigTemplate", ".", "objects", ".", "filter", "(", "name", "=", "template_options", "[", "'...
Imports an input_from from serialized json data
[ "Imports", "an", "input_from", "from", "serialized", "json", "data" ]
[ "\"\"\"\n Imports an input_from from serialized json data\n :param jd: json_data object generated from the export_input_form function\n :return: id of the input form or id of the input form if it already exists\n \"\"\"" ]
[ { "param": "jd", "type": null } ]
{ "returns": [ { "docstring": "id of the input form or id of the input form if it already exists", "docstring_tokens": [ "id", "of", "the", "input", "form", "or", "id", "of", "the", "input", "form", "if", ...
ec1937fa3c34678b74b59c5d78ef4a42db6bc8d9
nembery/aframe
endpoints/plugins/endpoint_base.py
[ "Apache-2.0" ]
Python
create_endpoint
<not_specific>
def create_endpoint(endpoint_id, endpoint_name, ip, username, password, endpoint_type): """ Returns a basic pyObject representing the most basic information for a endpoint feel free to override this to include more specific data members if needed :param endpoint_id: unique id :pa...
Returns a basic pyObject representing the most basic information for a endpoint feel free to override this to include more specific data members if needed :param endpoint_id: unique id :param endpoint_name: name :param ip: IPv4 address of the endpoint :param username: us...
Returns a basic pyObject representing the most basic information for a endpoint feel free to override this to include more specific data members if needed
[ "Returns", "a", "basic", "pyObject", "representing", "the", "most", "basic", "information", "for", "a", "endpoint", "feel", "free", "to", "override", "this", "to", "include", "more", "specific", "data", "members", "if", "needed" ]
def create_endpoint(endpoint_id, endpoint_name, ip, username, password, endpoint_type): endpoint_data = { "id": endpoint_id, "name": endpoint_name, "ip": ip, "username": username, "password": password, "type": endpoint_type } ...
[ "def", "create_endpoint", "(", "endpoint_id", ",", "endpoint_name", ",", "ip", ",", "username", ",", "password", ",", "endpoint_type", ")", ":", "endpoint_data", "=", "{", "\"id\"", ":", "endpoint_id", ",", "\"name\"", ":", "endpoint_name", ",", "\"ip\"", ":",...
Returns a basic pyObject representing the most basic information for a endpoint feel free to override this to include more specific data members if needed
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[ "\"\"\"\n Returns a basic pyObject representing the most basic information for a endpoint\n feel free to override this to include more specific data members if needed\n :param endpoint_id: unique id\n :param endpoint_name: name\n :param ip: IPv4 address of the endpoint\n :p...
[ { "param": "endpoint_id", "type": null }, { "param": "endpoint_name", "type": null }, { "param": "ip", "type": null }, { "param": "username", "type": null }, { "param": "password", "type": null }, { "param": "endpoint_type", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "endpoint_id", "type": null, "docstring": null, "docstring_tokens": [ "None" ], "default": null, "is_optional": null }, { "identifier": "endpoint_name", "type": null, "docstri...
ec1937fa3c34678b74b59c5d78ef4a42db6bc8d9
nembery/aframe
endpoints/plugins/endpoint_base.py
[ "Apache-2.0" ]
Python
available_filters
<not_specific>
def available_filters(self): """ feel free to override the available filters if necessary """ return self.default_filters
feel free to override the available filters if necessary
feel free to override the available filters if necessary
[ "feel", "free", "to", "override", "the", "available", "filters", "if", "necessary" ]
def available_filters(self): return self.default_filters
[ "def", "available_filters", "(", "self", ")", ":", "return", "self", ".", "default_filters" ]
feel free to override the available filters if necessary
[ "feel", "free", "to", "override", "the", "available", "filters", "if", "necessary" ]
[ "\"\"\"\n feel free to override the available filters\n if necessary\n \"\"\"" ]
[ { "param": "self", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
efe5c622530ac93c7ee9f2eed5130b2d327441fe
vickydasta/aha
app/apps.py
[ "MIT" ]
Python
generate_id
<not_specific>
def generate_id(): """ generate random string with randomly picked string """ return ''.join(random.choice(string.ascii_uppercase + string.digits + string.lowercase) for _ in range(5))
generate random string with randomly picked string
generate random string with randomly picked string
[ "generate", "random", "string", "with", "randomly", "picked", "string" ]
def generate_id(): return ''.join(random.choice(string.ascii_uppercase + string.digits + string.lowercase) for _ in range(5))
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generate random string with randomly picked string
[ "generate", "random", "string", "with", "randomly", "picked", "string" ]
[ "\"\"\"\n generate random string with randomly picked\n string\n \"\"\"" ]
[]
{ "returns": [], "raises": [], "params": [], "outlier_params": [], "others": [] }
efe5c622530ac93c7ee9f2eed5130b2d327441fe
vickydasta/aha
app/apps.py
[ "MIT" ]
Python
expand
<not_specific>
def expand(key): """ get key from list with GET command """ return r.get("url:{}:id".format(key))
get key from list with GET command
get key from list with GET command
[ "get", "key", "from", "list", "with", "GET", "command" ]
def expand(key): return r.get("url:{}:id".format(key))
[ "def", "expand", "(", "key", ")", ":", "return", "r", ".", "get", "(", "\"url:{}:id\"", ".", "format", "(", "key", ")", ")" ]
get key from list with GET command
[ "get", "key", "from", "list", "with", "GET", "command" ]
[ "\"\"\"\n get key from list with GET command\n \"\"\"" ]
[ { "param": "key", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "key", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
efe5c622530ac93c7ee9f2eed5130b2d327441fe
vickydasta/aha
app/apps.py
[ "MIT" ]
Python
redirect_url
<not_specific>
def redirect_url(key): """ redirect to related url with key :params: key : string """ url = expand(key) if url: return redirect(url, 301) return jsonify({"msg": "key not found!"})
redirect to related url with key :params: key : string
redirect to related url with key
[ "redirect", "to", "related", "url", "with", "key" ]
def redirect_url(key): url = expand(key) if url: return redirect(url, 301) return jsonify({"msg": "key not found!"})
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redirect to related url with key
[ "redirect", "to", "related", "url", "with", "key" ]
[ "\"\"\"\n redirect to related url with key\n\n :params: key : string\n \"\"\"" ]
[ { "param": "key", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "key", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [ { "identifier": "params", "docstring": "key : str...
1c84b97bc9b355be7160df285cc984b80ecff2fb
BalaBalaYi/Ambari-Elasticsearch-Service
KIBANA-6.4.x/package/scripts/kibana_server.py
[ "Apache-2.0" ]
Python
stop
null
def stop(self, env): import params env.set_params(params) # Stop Kibana """ Kill the process by pid file, then check the process is running or not. If the process is still running after the kill command, it will try to kill with -9 option (hard kill) ...
Kill the process by pid file, then check the process is running or not. If the process is still running after the kill command, it will try to kill with -9 option (hard kill)
Kill the process by pid file, then check the process is running or not. If the process is still running after the kill command, it will try to kill with -9 option (hard kill)
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def stop(self, env): import params env.set_params(params) pid_file = params.pid_file pid = os.popen('cat {pid_file}'.format(pid_file=pid_file)).read() process_id_exists_command = format("ls {pid_file} >/dev/null 2>&1 && ps -p {pid} >/dev/null 2>&1") kill_cmd = format("kil...
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Kill the process by pid file, then check the process is running or not.
[ "Kill", "the", "process", "by", "pid", "file", "then", "check", "the", "process", "is", "running", "or", "not", "." ]
[ "# Stop Kibana", "\"\"\"\n Kill the process by pid file, then check the process is running or not. If the process is still running after the kill\n command, it will try to kill with -9 option (hard kill)\n \"\"\"" ]
[ { "param": "self", "type": null }, { "param": "env", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "env", "type": null, "docstring": null, "docstring_tokens": []...
031dead0832eaf05ccbd9761993bf099f4125a3b
SUPERSAIYANSLAYIN/droidlysis
droidproperties.py
[ "MIT" ]
Python
clear_fields
null
def clear_fields(self): """Re-initialize all fields of the object - to default values""" self.file_nb_classes = 0 self.file_nb_dir = 0 self.file_size = 0 self.file_small = False self.filetype = droidutil.UNKNOWN self.file_innerzips = False self.certificat...
Re-initialize all fields of the object - to default values
Re-initialize all fields of the object - to default values
[ "Re", "-", "initialize", "all", "fields", "of", "the", "object", "-", "to", "default", "values" ]
def clear_fields(self): self.file_nb_classes = 0 self.file_nb_dir = 0 self.file_size = 0 self.file_small = False self.filetype = droidutil.UNKNOWN self.file_innerzips = False self.certificate.clear() self.certificate = { 'av' : False, \ ...
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Re-initialize all fields of the object - to default values
[ "Re", "-", "initialize", "all", "fields", "of", "the", "object", "-", "to", "default", "values" ]
[ "\"\"\"Re-initialize all fields of the object - to default values\"\"\"", "# automatically adding smali properties. ", "# automatically adding wide properties", "# automatically add ARM properties", "# automatically set to False kit properties", "# END OF reinit to default values" ]
[ { "param": "self", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
b96af3fc9ad306cb9c12990d9d8b46e6a4a86976
SUPERSAIYANSLAYIN/droidlysis
droidziprar.py
[ "MIT" ]
Python
extract_one_file
null
def extract_one_file(self, filename, outdir): """Extracts from a ZIP or a RAR - file: file to extract - outdir: directory to extract to Will use a password if necessary """ if self.zipmode: # the unzip command works better... (manages to unzip more) ...
Extracts from a ZIP or a RAR - file: file to extract - outdir: directory to extract to Will use a password if necessary
Extracts from a ZIP or a RAR file: file to extract outdir: directory to extract to Will use a password if necessary
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def extract_one_file(self, filename, outdir): if self.zipmode: subprocess.call([ "/usr/bin/unzip" , "-o", "-qq", "-P", self.password, "-d", outdir, self.archive_name, filename]) else: assert self.handle != None, "zip/rar file handle has been closed" self.handle.extrac...
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Extracts from a ZIP or a RAR file: file to extract outdir: directory to extract to Will use a password if necessary
[ "Extracts", "from", "a", "ZIP", "or", "a", "RAR", "file", ":", "file", "to", "extract", "outdir", ":", "directory", "to", "extract", "to", "Will", "use", "a", "password", "if", "necessary" ]
[ "\"\"\"Extracts from a ZIP or a RAR\n - file: file to extract\n - outdir: directory to extract to\n Will use a password if necessary\n \"\"\"", "# the unzip command works better... (manages to unzip more)", "# beware this may raise errors KeyError, RuntimeError..." ]
[ { "param": "self", "type": null }, { "param": "filename", "type": null }, { "param": "outdir", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "filename", "type": null, "docstring": null, "docstring_tokens...
b96af3fc9ad306cb9c12990d9d8b46e6a4a86976
SUPERSAIYANSLAYIN/droidlysis
droidziprar.py
[ "MIT" ]
Python
extract_pattern
<not_specific>
def extract_pattern(self, outdir, pattern): """Unzips (or unrars) files matching a given regexp to a given output directory. Returns a list of what has been unzipped. """ assert self.handle != None, "zip/rar file handle has been closed" all_files = self.handle.namelist() ...
Unzips (or unrars) files matching a given regexp to a given output directory. Returns a list of what has been unzipped.
Unzips (or unrars) files matching a given regexp to a given output directory. Returns a list of what has been unzipped.
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def extract_pattern(self, outdir, pattern): assert self.handle != None, "zip/rar file handle has been closed" all_files = self.handle.namelist() list = [x for x in all_files if re.search(pattern, x)] for file in list: self.extract_one_file(file, outdir) return list
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Unzips (or unrars) files matching a given regexp to a given output directory.
[ "Unzips", "(", "or", "unrars", ")", "files", "matching", "a", "given", "regexp", "to", "a", "given", "output", "directory", "." ]
[ "\"\"\"Unzips (or unrars) files matching a given regexp to a given output directory.\n Returns a list of what has been unzipped.\n \"\"\"" ]
[ { "param": "self", "type": null }, { "param": "outdir", "type": null }, { "param": "pattern", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "outdir", "type": null, "docstring": null, "docstring_tokens":...
86da74658631408a433b4817ebc79f18ec3dae69
akhmerov/sphinx-book-theme
sphinx_book_theme/launch.py
[ "BSD-3-Clause" ]
Python
add_hub_urls
<not_specific>
def add_hub_urls( app: Sphinx, pagename: str, templatename: str, context: Dict[str, Any], doctree: Optional[document], ): """Builds a binder link and inserts it in HTML context for use in templating. This is a ``html-page-context`` sphinx event (see :ref:`sphinx:events`). :param pagena...
Builds a binder link and inserts it in HTML context for use in templating. This is a ``html-page-context`` sphinx event (see :ref:`sphinx:events`). :param pagename: The sphinx docname related to the page :param context: A dictionary of values that are given to the template engine, to render the pa...
Builds a binder link and inserts it in HTML context for use in templating. This is a ``html-page-context`` sphinx event .
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def add_hub_urls( app: Sphinx, pagename: str, templatename: str, context: Dict[str, Any], doctree: Optional[document], ): path = app.env.doc2path(pagename) extension = Path(path).suffix config_theme = app.config["html_theme_options"] launch_buttons = config_theme.get("launch_buttons"...
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Builds a binder link and inserts it in HTML context for use in templating.
[ "Builds", "a", "binder", "link", "and", "inserts", "it", "in", "HTML", "context", "for", "use", "in", "templating", "." ]
[ "\"\"\"Builds a binder link and inserts it in HTML context for use in templating.\n\n This is a ``html-page-context`` sphinx event (see :ref:`sphinx:events`).\n\n :param pagename: The sphinx docname related to the page\n :param context: A dictionary of values that are given to the template engine,\n ...
[ { "param": "app", "type": "Sphinx" }, { "param": "pagename", "type": "str" }, { "param": "templatename", "type": "str" }, { "param": "context", "type": "Dict[str, Any]" }, { "param": "doctree", "type": "Optional[document]" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "app", "type": "Sphinx", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "pagename", "type": "str", "docstring": "The sphinx docname relat...
9bc4fa1d567955c9487c12bfa8416a6ff14b502d
abhmul/Vid4K43
src/data.py
[ "MIT" ]
Python
crappfier
<not_specific>
def crappfier(factor, noise=True): """A simple function to get a bilinear resizer with given factor""" # Do nothing if we're not crappifying if factor == 1.0: return lambda x: x def crappify_img(npimg): npimg = imresize( imresize(npimg, factor, interp="bilinear"), 1 / facto...
A simple function to get a bilinear resizer with given factor
A simple function to get a bilinear resizer with given factor
[ "A", "simple", "function", "to", "get", "a", "bilinear", "resizer", "with", "given", "factor" ]
def crappfier(factor, noise=True): if factor == 1.0: return lambda x: x def crappify_img(npimg): npimg = imresize( imresize(npimg, factor, interp="bilinear"), 1 / factor, interp="bilinear" ) if noise: npimg = random_noise(npimg) else: n...
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A simple function to get a bilinear resizer with given factor
[ "A", "simple", "function", "to", "get", "a", "bilinear", "resizer", "with", "given", "factor" ]
[ "\"\"\"A simple function to get a bilinear resizer with given factor\"\"\"", "# Do nothing if we're not crappifying", "# convert to float" ]
[ { "param": "factor", "type": null }, { "param": "noise", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "factor", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "noise", "type": null, "docstring": null, "docstring_tokens"...
4998b12bc3a9c179380fff1214808a3a5a881de1
abhmul/Vid4K43
src/pretrain.py
[ "MIT" ]
Python
evaluate
null
def evaluate(test_datagen, model, model_path): """An evaluation loop that runs each batch in the test gen and displays the original - prediction - GT""" # Load the model print(f"Loading model from {model_path}") model.load_state(model_path) for x, y in test_datagen: print(x.shape) pr...
An evaluation loop that runs each batch in the test gen and displays the original - prediction - GT
An evaluation loop that runs each batch in the test gen and displays the original - prediction - GT
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def evaluate(test_datagen, model, model_path): print(f"Loading model from {model_path}") model.load_state(model_path) for x, y in test_datagen: print(x.shape) print(y.shape) pred = model.predict_on_batch(x) for xi, predi, yi in zip(x, pred, y): plot_output(xi, pre...
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An evaluation loop that runs each batch in the test gen and displays the original - prediction - GT
[ "An", "evaluation", "loop", "that", "runs", "each", "batch", "in", "the", "test", "gen", "and", "displays", "the", "original", "-", "prediction", "-", "GT" ]
[ "\"\"\"An evaluation loop that runs each batch in the test gen and displays the original - prediction - GT\"\"\"", "# Load the model" ]
[ { "param": "test_datagen", "type": null }, { "param": "model", "type": null }, { "param": "model_path", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "test_datagen", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "model", "type": null, "docstring": null, "docstring_t...
f02cfbf698547cd066fe32b1b5f2e48263cee4e7
zmurchok/1d-reaction-diffusion-examples
RacRho.py
[ "MIT" ]
Python
rdPDE
<not_specific>
def rdPDE(t, y, D, Di, dx): """ The ODEs are derived using the method of lines. https://docs.scipy.org/doc/scipy/reference/tutorial/integrate.html#mol """ # The vectors R, Ri, rho, rhoi are interleaved in y for computational speed # every fourth entry is... R = y[0::4] Ri = y[1::4] r...
The ODEs are derived using the method of lines. https://docs.scipy.org/doc/scipy/reference/tutorial/integrate.html#mol
The ODEs are derived using the method of lines.
[ "The", "ODEs", "are", "derived", "using", "the", "method", "of", "lines", "." ]
def rdPDE(t, y, D, Di, dx): R = y[0::4] Ri = y[1::4] rho = y[2::4] rhoi = y[3::4] dydt = np.empty_like(y) dRdt = dydt[0::4] dRidt = dydt[1::4] drhodt = dydt[2::4] drhoidt = dydt[3::4] dRdt[0] = f(R[0], Ri[0], rho[0], rhoi[0]) + D * (-2.0*R[0] + 2.0*R[1]) / dx**2 ...
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The ODEs are derived using the method of lines.
[ "The", "ODEs", "are", "derived", "using", "the", "method", "of", "lines", "." ]
[ "\"\"\"\n The ODEs are derived using the method of lines.\n https://docs.scipy.org/doc/scipy/reference/tutorial/integrate.html#mol\n \"\"\"", "# The vectors R, Ri, rho, rhoi are interleaved in y for computational speed", "# every fourth entry is...", "# dydt is the return value of this function." ]
[ { "param": "t", "type": null }, { "param": "y", "type": null }, { "param": "D", "type": null }, { "param": "Di", "type": null }, { "param": "dx", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "t", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "y", "type": null, "docstring": null, "docstring_tokens": [], ...
2426e0ca85d527ed27e7b60e792c42cbf355e32e
eddie-dunn/py3status
py3status/modules/imap.py
[ "BSD-3-Clause" ]
Python
_idle
<not_specific>
def _idle(self): """ since imaplib doesn't support IMAP4r1 IDLE, we'll do it by hand """ socket = None try: # build a new command tag (Xnnn) as bytes: self.command_tag = (self.command_tag + 1) % 1000 command_tag = b'X' + bytes(str(self.command...
since imaplib doesn't support IMAP4r1 IDLE, we'll do it by hand
since imaplib doesn't support IMAP4r1 IDLE, we'll do it by hand
[ "since", "imaplib", "doesn", "'", "t", "support", "IMAP4r1", "IDLE", "we", "'", "ll", "do", "it", "by", "hand" ]
def _idle(self): socket = None try: self.command_tag = (self.command_tag + 1) % 1000 command_tag = b'X' + bytes(str(self.command_tag).zfill(3), 'ascii') directories = self.mailbox.split(',') self.connection.select(directories[0]) socket = self....
[ "def", "_idle", "(", "self", ")", ":", "socket", "=", "None", "try", ":", "self", ".", "command_tag", "=", "(", "self", ".", "command_tag", "+", "1", ")", "%", "1000", "command_tag", "=", "b'X'", "+", "bytes", "(", "str", "(", "self", ".", "command...
since imaplib doesn't support IMAP4r1 IDLE, we'll do it by hand
[ "since", "imaplib", "doesn", "'", "t", "support", "IMAP4r1", "IDLE", "we", "'", "ll", "do", "it", "by", "hand" ]
[ "\"\"\"\n since imaplib doesn't support IMAP4r1 IDLE, we'll do it by hand\n \"\"\"", "# build a new command tag (Xnnn) as bytes:", "# make sure we have selected anything before idling:", "# send IDLE command and check response:", "# wait for changes (EXISTS, EXPUNGE, etc.):", "# ignore '* OK...
[ { "param": "self", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
605fdde3d98f3175d38f212c3cbf5eae25e6614c
Ipuch/OnDynamicsForSommersaults
custom_dynamics/implicit_dynamics_taudot_driven.py
[ "MIT" ]
Python
custom_configure_taudot_implicit
null
def custom_configure_taudot_implicit(ocp: OptimalControlProgram, nlp: NonLinearProgram): """ Tell the program which variables are states and controls. The user is expected to use the ConfigureProblem.configure_xxx functions. Parameters ---------- ocp: OptimalControlProgram A reference t...
Tell the program which variables are states and controls. The user is expected to use the ConfigureProblem.configure_xxx functions. Parameters ---------- ocp: OptimalControlProgram A reference to the ocp nlp: NonLinearProgram A reference to the phase
Tell the program which variables are states and controls. The user is expected to use the ConfigureProblem.configure_xxx functions. Parameters OptimalControlProgram A reference to the ocp nlp: NonLinearProgram A reference to the phase
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def custom_configure_taudot_implicit(ocp: OptimalControlProgram, nlp: NonLinearProgram): ConfigureProblem.configure_q(nlp, as_states=True, as_controls=False) ConfigureProblem.configure_qdot(nlp, as_states=True, as_controls=False) ConfigureProblem.configure_tau(nlp, as_states=True, as_controls=False) Con...
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Tell the program which variables are states and controls.
[ "Tell", "the", "program", "which", "variables", "are", "states", "and", "controls", "." ]
[ "\"\"\"\n Tell the program which variables are states and controls.\n The user is expected to use the ConfigureProblem.configure_xxx functions.\n\n Parameters\n ----------\n ocp: OptimalControlProgram\n A reference to the ocp\n nlp: NonLinearProgram\n A reference to the phase\n \"...
[ { "param": "ocp", "type": "OptimalControlProgram" }, { "param": "nlp", "type": "NonLinearProgram" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "ocp", "type": "OptimalControlProgram", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "nlp", "type": "NonLinearProgram", "docstring": nu...
2879b7ca7fd7cdcb596f8aeba7a909cb50009a30
Ipuch/OnDynamicsForSommersaults
main_convergence.py
[ "MIT" ]
Python
generate_calls
<not_specific>
def generate_calls( n, Date, n_shooting_list: list, dynamics_types: list, ode_solver: OdeSolver, nstep: int, n_threads: int, out_path_raw: str, model_str: str, extra_obj: bool, ): """ This functions generates the calls to the miller_run with different random seeds for eac...
This functions generates the calls to the miller_run with different random seeds for each simulation while testing different dynamics and equations of motion. Parameters ---------- n : int Number of random seeds to generate. Date : str Date of the simulation. n_shooting_lis...
This functions generates the calls to the miller_run with different random seeds for each simulation while testing different dynamics and equations of motion. Parameters n : int Number of random seeds to generate. Date : str Date of the simulation. n_shooting_list : list List of tuples with the number of shooting nod...
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def generate_calls( n, Date, n_shooting_list: list, dynamics_types: list, ode_solver: OdeSolver, nstep: int, n_threads: int, out_path_raw: str, model_str: str, extra_obj: bool, ): calls = [] for i, dynamics_type in enumerate(dynamics_types): for n_shooting in n_sh...
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This functions generates the calls to the miller_run with different random seeds for each simulation while testing different dynamics and equations of motion.
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[ "\"\"\"\n This functions generates the calls to the miller_run with different random seeds for each simulation\n while testing different dynamics and equations of motion.\n\n Parameters\n ----------\n n : int\n Number of random seeds to generate.\n Date : str\n Date of the simulation...
[ { "param": "n", "type": null }, { "param": "Date", "type": null }, { "param": "n_shooting_list", "type": "list" }, { "param": "dynamics_types", "type": "list" }, { "param": "ode_solver", "type": "OdeSolver" }, { "param": "nstep", "type": "int" },...
{ "returns": [], "raises": [], "params": [ { "identifier": "n", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "Date", "type": null, "docstring": null, "docstring_tokens": [], ...
e115bd83c59f2725215f80877fc082ed3c30dc1c
Ipuch/OnDynamicsForSommersaults
analyses/analyse_text_info_converge.py
[ "MIT" ]
Python
batch_computation
float
def batch_computation(df_results: DataFrame, key: str, d: str) -> float: """ This function is used to compute the ratio between the min and the max for a given dynamics d and a given key. Parameters ---------- df_results : DataFrame The dataframe containing the results. key : str ...
This function is used to compute the ratio between the min and the max for a given dynamics d and a given key. Parameters ---------- df_results : DataFrame The dataframe containing the results. key : str The key suc as "computation_time" or "cost". d : str The dynamics ...
This function is used to compute the ratio between the min and the max for a given dynamics d and a given key. Parameters df_results : DataFrame The dataframe containing the results. key : str The key suc as "computation_time" or "cost". d : str The dynamics type such as the one contained in dynamics_type_label. Retu...
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def batch_computation(df_results: DataFrame, key: str, d: str) -> float: df = df_results[key] n_shoot_max = df_results["n_shooting_tot"][df_results["dynamics_type_label"] == d].max() df = df[df_results["dynamics_type_label"] == d] df_max = df[df_results["n_shooting_tot"] == n_shoot_max] df_min = df[...
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This function is used to compute the ratio between the min and the max for a given dynamics d and a given key.
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[ "\"\"\"\n This function is used to compute the ratio between the min and the max for a given dynamics d and a given key.\n\n Parameters\n ----------\n df_results : DataFrame\n The dataframe containing the results.\n key : str\n The key suc as \"computation_time\" or \"cost\".\n d : s...
[ { "param": "df_results", "type": "DataFrame" }, { "param": "key", "type": "str" }, { "param": "d", "type": "str" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "df_results", "type": "DataFrame", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "key", "type": "str", "docstring": null, "docstri...
1d97a17c5a79a850c8907affb33cc3a98185617f
Ipuch/OnDynamicsForSommersaults
main_comparison.py
[ "MIT" ]
Python
generate_calls
list
def generate_calls( n: Union[int, list], Date, n_shooting: tuple, dynamics_types: list, ode_solver: list, nstep: int, n_threads: int, out_path_raw: str, model_str: str, extra_obj: bool, ) -> list: """ Generate the list of calls to be used in multiprocessing Parameter...
Generate the list of calls to be used in multiprocessing Parameters ---------- n : Union[int, list] The int of list of irand to be run Date : str The date of the run n_shooting : tuple The number of shooting points for each phase dynamics_types : list The li...
Generate the list of calls to be used in multiprocessing Parameters Returns list The list of calls to be run
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def generate_calls( n: Union[int, list], Date, n_shooting: tuple, dynamics_types: list, ode_solver: list, nstep: int, n_threads: int, out_path_raw: str, model_str: str, extra_obj: bool, ) -> list: if isinstance(n, int): rand_loop = range(n) else: rand_loop...
[ "def", "generate_calls", "(", "n", ":", "Union", "[", "int", ",", "list", "]", ",", "Date", ",", "n_shooting", ":", "tuple", ",", "dynamics_types", ":", "list", ",", "ode_solver", ":", "list", ",", "nstep", ":", "int", ",", "n_threads", ":", "int", "...
Generate the list of calls to be used in multiprocessing Parameters
[ "Generate", "the", "list", "of", "calls", "to", "be", "used", "in", "multiprocessing", "Parameters" ]
[ "\"\"\"\n Generate the list of calls to be used in multiprocessing\n\n Parameters\n ----------\n n : Union[int, list]\n The int of list of irand to be run\n Date : str\n The date of the run\n n_shooting : tuple\n The number of shooting points for each phase\n dynamics_types...
[ { "param": "n", "type": "Union[int, list]" }, { "param": "Date", "type": null }, { "param": "n_shooting", "type": "tuple" }, { "param": "dynamics_types", "type": "list" }, { "param": "ode_solver", "type": "list" }, { "param": "nstep", "type": "int"...
{ "returns": [], "raises": [], "params": [ { "identifier": "n", "type": "Union[int, list]", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "Date", "type": null, "docstring": null, "docstring...
1d97a17c5a79a850c8907affb33cc3a98185617f
Ipuch/OnDynamicsForSommersaults
main_comparison.py
[ "MIT" ]
Python
run_pool
null
def run_pool(calls: list, pool_nb: int): """ Run the pool of processes Parameters ---------- calls : list The list of calls to be run pool_nb : int The number of processes to be used in parallel """ with Pool(pool_nb) as p: # should be 4 p.map(miller_run.main, c...
Run the pool of processes Parameters ---------- calls : list The list of calls to be run pool_nb : int The number of processes to be used in parallel
Run the pool of processes Parameters calls : list The list of calls to be run pool_nb : int The number of processes to be used in parallel
[ "Run", "the", "pool", "of", "processes", "Parameters", "calls", ":", "list", "The", "list", "of", "calls", "to", "be", "run", "pool_nb", ":", "int", "The", "number", "of", "processes", "to", "be", "used", "in", "parallel" ]
def run_pool(calls: list, pool_nb: int): with Pool(pool_nb) as p: p.map(miller_run.main, calls)
[ "def", "run_pool", "(", "calls", ":", "list", ",", "pool_nb", ":", "int", ")", ":", "with", "Pool", "(", "pool_nb", ")", "as", "p", ":", "p", ".", "map", "(", "miller_run", ".", "main", ",", "calls", ")" ]
Run the pool of processes Parameters
[ "Run", "the", "pool", "of", "processes", "Parameters" ]
[ "\"\"\"\n Run the pool of processes\n\n Parameters\n ----------\n calls : list\n The list of calls to be run\n pool_nb : int\n The number of processes to be used in parallel\n \"\"\"", "# should be 4" ]
[ { "param": "calls", "type": "list" }, { "param": "pool_nb", "type": "int" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "calls", "type": "list", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "pool_nb", "type": "int", "docstring": null, "docstring_tok...
1d97a17c5a79a850c8907affb33cc3a98185617f
Ipuch/OnDynamicsForSommersaults
main_comparison.py
[ "MIT" ]
Python
run_the_missing_ones
null
def run_the_missing_ones( out_path_raw: str, Date, n_shooting: tuple, dynamics_types: list, ode_solver: list, nstep: int, n_threads: int, model_str: str, extra_obj: bool, pool_nb: int, ): """ This function is used to run the process that were not run during the previous p...
This function is used to run the process that were not run during the previous pool of processes Parameters ---------- out_path_raw : str The path to store the raw results Date : str The date of the run n_shooting : tuple The number of shooting points for each phase ...
This function is used to run the process that were not run during the previous pool of processes Parameters
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def run_the_missing_ones( out_path_raw: str, Date, n_shooting: tuple, dynamics_types: list, ode_solver: list, nstep: int, n_threads: int, model_str: str, extra_obj: bool, pool_nb: int, ): files = os.listdir(out_path_raw) files.sort() new_calls = {dynamics_types[0].val...
[ "def", "run_the_missing_ones", "(", "out_path_raw", ":", "str", ",", "Date", ",", "n_shooting", ":", "tuple", ",", "dynamics_types", ":", "list", ",", "ode_solver", ":", "list", ",", "nstep", ":", "int", ",", "n_threads", ":", "int", ",", "model_str", ":",...
This function is used to run the process that were not run during the previous pool of processes Parameters
[ "This", "function", "is", "used", "to", "run", "the", "process", "that", "were", "not", "run", "during", "the", "previous", "pool", "of", "processes", "Parameters" ]
[ "\"\"\"\n This function is used to run the process that were not run during the previous pool of processes\n\n Parameters\n ----------\n out_path_raw : str\n The path to store the raw results\n Date : str\n The date of the run\n n_shooting : tuple\n The number of shooting poin...
[ { "param": "out_path_raw", "type": "str" }, { "param": "Date", "type": null }, { "param": "n_shooting", "type": "tuple" }, { "param": "dynamics_types", "type": "list" }, { "param": "ode_solver", "type": "list" }, { "param": "nstep", "type": "int" ...
{ "returns": [], "raises": [], "params": [ { "identifier": "out_path_raw", "type": "str", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "Date", "type": null, "docstring": null, "docstring_t...
6294fbedb86c7df2a987c45fc9ad1194e6f40a42
Ipuch/OnDynamicsForSommersaults
analyses/utils.py
[ "MIT" ]
Python
comdot_time_series
<not_specific>
def comdot_time_series(m: biorbd.Model, q: np.array, qdot: np.array): """ Compute the comdot time series Parameters ---------- m : biorbd.Model Biorbd Model q : numpy.array generalized coordinates qdot : numpy.array generalized velocities """ n = q.shape[1] ...
Compute the comdot time series Parameters ---------- m : biorbd.Model Biorbd Model q : numpy.array generalized coordinates qdot : numpy.array generalized velocities
Compute the comdot time series Parameters m : biorbd.Model Biorbd Model q : numpy.array generalized coordinates qdot : numpy.array generalized velocities
[ "Compute", "the", "comdot", "time", "series", "Parameters", "m", ":", "biorbd", ".", "Model", "Biorbd", "Model", "q", ":", "numpy", ".", "array", "generalized", "coordinates", "qdot", ":", "numpy", ".", "array", "generalized", "velocities" ]
def comdot_time_series(m: biorbd.Model, q: np.array, qdot: np.array): n = q.shape[1] comdot = np.zeros((3, n)) for ii in range(n): comdot[:, ii] = m.CoMdot(q[:, ii], qdot[:, ii], True).to_array() return comdot
[ "def", "comdot_time_series", "(", "m", ":", "biorbd", ".", "Model", ",", "q", ":", "np", ".", "array", ",", "qdot", ":", "np", ".", "array", ")", ":", "n", "=", "q", ".", "shape", "[", "1", "]", "comdot", "=", "np", ".", "zeros", "(", "(", "3...
Compute the comdot time series Parameters
[ "Compute", "the", "comdot", "time", "series", "Parameters" ]
[ "\"\"\"\n Compute the comdot time series\n\n Parameters\n ----------\n m : biorbd.Model\n Biorbd Model\n q : numpy.array\n generalized coordinates\n qdot : numpy.array\n generalized velocities\n \"\"\"" ]
[ { "param": "m", "type": "biorbd.Model" }, { "param": "q", "type": "np.array" }, { "param": "qdot", "type": "np.array" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "m", "type": "biorbd.Model", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "q", "type": "np.array", "docstring": null, "docstring_...
6294fbedb86c7df2a987c45fc9ad1194e6f40a42
Ipuch/OnDynamicsForSommersaults
analyses/utils.py
[ "MIT" ]
Python
comddot_time_series
<not_specific>
def comddot_time_series(m: biorbd.Model, q: np.array, qdot: np.array, qddot: np.array): """ Compute the comddot time series Parameters ---------- m : biorbd.Model Biorbd Model q : numpy.array generalized coordinates qdot : numpy.array generalized velocities qddot...
Compute the comddot time series Parameters ---------- m : biorbd.Model Biorbd Model q : numpy.array generalized coordinates qdot : numpy.array generalized velocities qddot : numpy.array generalized accelerations
Compute the comddot time series Parameters m : biorbd.Model Biorbd Model q : numpy.array generalized coordinates qdot : numpy.array generalized velocities qddot : numpy.array generalized accelerations
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def comddot_time_series(m: biorbd.Model, q: np.array, qdot: np.array, qddot: np.array): n = q.shape[1] comddot = np.zeros((3, n)) for ii in range(n): comddot[:, ii] = m.CoMddot(q[:, ii], qdot[:, ii], qddot[:, ii], True).to_array() return comddot
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Compute the comddot time series Parameters
[ "Compute", "the", "comddot", "time", "series", "Parameters" ]
[ "\"\"\"\n Compute the comddot time series\n\n Parameters\n ----------\n m : biorbd.Model\n Biorbd Model\n q : numpy.array\n generalized coordinates\n qdot : numpy.array\n generalized velocities\n qddot : numpy.array\n generalized accelerations\n \"\"\"" ]
[ { "param": "m", "type": "biorbd.Model" }, { "param": "q", "type": "np.array" }, { "param": "qdot", "type": "np.array" }, { "param": "qddot", "type": "np.array" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "m", "type": "biorbd.Model", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "q", "type": "np.array", "docstring": null, "docstring_...
6294fbedb86c7df2a987c45fc9ad1194e6f40a42
Ipuch/OnDynamicsForSommersaults
analyses/utils.py
[ "MIT" ]
Python
angular_momentum_time_series
<not_specific>
def angular_momentum_time_series(m: biorbd.Model, q: np.array, qdot: np.array): """ Compute the angular momentum time series Parameters ---------- m : biorbd.Model Biorbd Model q : numpy.array generalized coordinates qdot : numpy.array generalized velocities """ ...
Compute the angular momentum time series Parameters ---------- m : biorbd.Model Biorbd Model q : numpy.array generalized coordinates qdot : numpy.array generalized velocities
Compute the angular momentum time series Parameters m : biorbd.Model Biorbd Model q : numpy.array generalized coordinates qdot : numpy.array generalized velocities
[ "Compute", "the", "angular", "momentum", "time", "series", "Parameters", "m", ":", "biorbd", ".", "Model", "Biorbd", "Model", "q", ":", "numpy", ".", "array", "generalized", "coordinates", "qdot", ":", "numpy", ".", "array", "generalized", "velocities" ]
def angular_momentum_time_series(m: biorbd.Model, q: np.array, qdot: np.array): n = q.shape[1] angular_momentum = np.zeros((3, n)) for ii in range(n): angular_momentum[:, ii] = m.angularMomentum(q[:, ii], qdot[:, ii], True).to_array() return angular_momentum
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Compute the angular momentum time series Parameters
[ "Compute", "the", "angular", "momentum", "time", "series", "Parameters" ]
[ "\"\"\"\n Compute the angular momentum time series\n\n Parameters\n ----------\n m : biorbd.Model\n Biorbd Model\n q : numpy.array\n generalized coordinates\n qdot : numpy.array\n generalized velocities\n \"\"\"" ]
[ { "param": "m", "type": "biorbd.Model" }, { "param": "q", "type": "np.array" }, { "param": "qdot", "type": "np.array" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "m", "type": "biorbd.Model", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "q", "type": "np.array", "docstring": null, "docstring_...
6294fbedb86c7df2a987c45fc9ad1194e6f40a42
Ipuch/OnDynamicsForSommersaults
analyses/utils.py
[ "MIT" ]
Python
residual_torque_time_series
<not_specific>
def residual_torque_time_series(m: biorbd.Model, q: np.array, qdot: np.array, qddot: np.array): """ Compute the residual torque time series Parameters ---------- m : biorbd.Model Biorbd Model q : numpy.array generalized coordinates qdot : numpy.array generalized velo...
Compute the residual torque time series Parameters ---------- m : biorbd.Model Biorbd Model q : numpy.array generalized coordinates qdot : numpy.array generalized velocities qddot : numpy.array generalized accelerations
Compute the residual torque time series Parameters m : biorbd.Model Biorbd Model q : numpy.array generalized coordinates qdot : numpy.array generalized velocities qddot : numpy.array generalized accelerations
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def residual_torque_time_series(m: biorbd.Model, q: np.array, qdot: np.array, qddot: np.array): n = q.shape[1] residual_torque = np.zeros((6, n)) for ii in range(n): residual_torque[:, ii] = m.InverseDynamics(q[:, ii], qdot[:, ii], qddot[:, ii]).to_array()[:6] return residual_torque
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Compute the residual torque time series Parameters
[ "Compute", "the", "residual", "torque", "time", "series", "Parameters" ]
[ "\"\"\"\n Compute the residual torque time series\n\n Parameters\n ----------\n m : biorbd.Model\n Biorbd Model\n q : numpy.array\n generalized coordinates\n qdot : numpy.array\n generalized velocities\n qddot : numpy.array\n generalized accelerations\n \"\"\"" ]
[ { "param": "m", "type": "biorbd.Model" }, { "param": "q", "type": "np.array" }, { "param": "qdot", "type": "np.array" }, { "param": "qddot", "type": "np.array" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "m", "type": "biorbd.Model", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "q", "type": "np.array", "docstring": null, "docstring_...
6294fbedb86c7df2a987c45fc9ad1194e6f40a42
Ipuch/OnDynamicsForSommersaults
analyses/utils.py
[ "MIT" ]
Python
linear_momentum_time_series
<not_specific>
def linear_momentum_time_series(m: biorbd.Model, q: np.array, qdot: np.array): """ Compute the linear momentum time series Parameters ---------- m : biorbd.Model Biorbd Model q : numpy.array generalized coordinates qdot : numpy.array generalized velocities """ ...
Compute the linear momentum time series Parameters ---------- m : biorbd.Model Biorbd Model q : numpy.array generalized coordinates qdot : numpy.array generalized velocities
Compute the linear momentum time series Parameters m : biorbd.Model Biorbd Model q : numpy.array generalized coordinates qdot : numpy.array generalized velocities
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def linear_momentum_time_series(m: biorbd.Model, q: np.array, qdot: np.array): n = q.shape[1] linear_momentum = np.zeros((3, n)) for ii in range(n): linear_momentum[:, ii] = m.mass() * m.CoMdot(q[:, ii], qdot[:, ii], True).to_array() return linear_momentum
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Compute the linear momentum time series Parameters
[ "Compute", "the", "linear", "momentum", "time", "series", "Parameters" ]
[ "\"\"\"\n Compute the linear momentum time series\n\n Parameters\n ----------\n m : biorbd.Model\n Biorbd Model\n q : numpy.array\n generalized coordinates\n qdot : numpy.array\n generalized velocities\n \"\"\"" ]
[ { "param": "m", "type": "biorbd.Model" }, { "param": "q", "type": "np.array" }, { "param": "qdot", "type": "np.array" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "m", "type": "biorbd.Model", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "q", "type": "np.array", "docstring": null, "docstring_...
6294fbedb86c7df2a987c45fc9ad1194e6f40a42
Ipuch/OnDynamicsForSommersaults
analyses/utils.py
[ "MIT" ]
Python
angular_momentum_deviation
<not_specific>
def angular_momentum_deviation(angular_momentum: np.array): """ Compute the angular momentum deviation Parameters ---------- angular_momentum : numpy.array Angular momentum """ n = angular_momentum.shape[1] angular_momentum_norm = np.zeros(n) for i in range(n): angul...
Compute the angular momentum deviation Parameters ---------- angular_momentum : numpy.array Angular momentum
Compute the angular momentum deviation Parameters angular_momentum : numpy.array Angular momentum
[ "Compute", "the", "angular", "momentum", "deviation", "Parameters", "angular_momentum", ":", "numpy", ".", "array", "Angular", "momentum" ]
def angular_momentum_deviation(angular_momentum: np.array): n = angular_momentum.shape[1] angular_momentum_norm = np.zeros(n) for i in range(n): angular_momentum_norm[i] = np.linalg.norm(angular_momentum[:, i]) return rmse(angular_momentum_norm, np.repeat(np.linalg.norm(angular_momentum[:, 0:1])...
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Compute the angular momentum deviation Parameters
[ "Compute", "the", "angular", "momentum", "deviation", "Parameters" ]
[ "\"\"\"\n Compute the angular momentum deviation\n\n Parameters\n ----------\n angular_momentum : numpy.array\n Angular momentum\n \"\"\"" ]
[ { "param": "angular_momentum", "type": "np.array" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "angular_momentum", "type": "np.array", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
6294fbedb86c7df2a987c45fc9ad1194e6f40a42
Ipuch/OnDynamicsForSommersaults
analyses/utils.py
[ "MIT" ]
Python
stack_states
<not_specific>
def stack_states(states: list[dict], key: str = "q"): """ Stack the controls in one vector Parameters ---------- states : list[dict] List of dictionaries containing the states key : str Key of the states to stack such as "q" or "qdot" """ return np.hstack((states[0][key]...
Stack the controls in one vector Parameters ---------- states : list[dict] List of dictionaries containing the states key : str Key of the states to stack such as "q" or "qdot"
Stack the controls in one vector Parameters states : list[dict] List of dictionaries containing the states key : str Key of the states to stack such as "q" or "qdot"
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def stack_states(states: list[dict], key: str = "q"): return np.hstack((states[0][key][:, :-1], states[1][key][:, :]))
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Stack the controls in one vector Parameters
[ "Stack", "the", "controls", "in", "one", "vector", "Parameters" ]
[ "\"\"\"\n Stack the controls in one vector\n\n Parameters\n ----------\n states : list[dict]\n List of dictionaries containing the states\n key : str\n Key of the states to stack such as \"q\" or \"qdot\"\n \"\"\"" ]
[ { "param": "states", "type": "list[dict]" }, { "param": "key", "type": "str" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "states", "type": "list[dict]", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "key", "type": "str", "docstring": null, "docstring_...
6294fbedb86c7df2a987c45fc9ad1194e6f40a42
Ipuch/OnDynamicsForSommersaults
analyses/utils.py
[ "MIT" ]
Python
stack_controls
<not_specific>
def stack_controls(controls: list[dict], key: str = "tau"): """ Stack the controls in one vector Parameters ---------- controls : list[dict] List of dictionaries containing the controls key : str Key of the controls to stack such as "tau" or "qddot" """ return np.hstack(...
Stack the controls in one vector Parameters ---------- controls : list[dict] List of dictionaries containing the controls key : str Key of the controls to stack such as "tau" or "qddot"
Stack the controls in one vector Parameters controls : list[dict] List of dictionaries containing the controls key : str Key of the controls to stack such as "tau" or "qddot"
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def stack_controls(controls: list[dict], key: str = "tau"): return np.hstack((controls[0][key][:, :-1], controls[1][key][:, :]))
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Stack the controls in one vector Parameters
[ "Stack", "the", "controls", "in", "one", "vector", "Parameters" ]
[ "\"\"\"\n Stack the controls in one vector\n\n Parameters\n ----------\n controls : list[dict]\n List of dictionaries containing the controls\n key : str\n Key of the controls to stack such as \"tau\" or \"qddot\"\n \"\"\"" ]
[ { "param": "controls", "type": "list[dict]" }, { "param": "key", "type": "str" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "controls", "type": "list[dict]", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "key", "type": "str", "docstring": null, "docstrin...
6294fbedb86c7df2a987c45fc9ad1194e6f40a42
Ipuch/OnDynamicsForSommersaults
analyses/utils.py
[ "MIT" ]
Python
define_time
<not_specific>
def define_time(time: list, n_shooting: tuple): """ Create the time vector Parameters ---------- time : list List of duration of each phase of the simulation n_shooting : tuple Number of shooting points for each phase """ time_vector = np.hstack( ( np...
Create the time vector Parameters ---------- time : list List of duration of each phase of the simulation n_shooting : tuple Number of shooting points for each phase
Create the time vector Parameters time : list List of duration of each phase of the simulation n_shooting : tuple Number of shooting points for each phase
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def define_time(time: list, n_shooting: tuple): time_vector = np.hstack( ( np.linspace(0, float(time[0]) - 1 / n_shooting[0] * float(time[0]), n_shooting[0]), np.linspace(float(time[0]), float(time[0]) + float(time[1]), n_shooting[1] + 1), ) ) return time_vector
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Create the time vector Parameters
[ "Create", "the", "time", "vector", "Parameters" ]
[ "\"\"\"\n Create the time vector\n\n Parameters\n ----------\n time : list\n List of duration of each phase of the simulation\n n_shooting : tuple\n Number of shooting points for each phase\n \"\"\"" ]
[ { "param": "time", "type": "list" }, { "param": "n_shooting", "type": "tuple" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "time", "type": "list", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "n_shooting", "type": "tuple", "docstring": null, "docstring...
6294fbedb86c7df2a987c45fc9ad1194e6f40a42
Ipuch/OnDynamicsForSommersaults
analyses/utils.py
[ "MIT" ]
Python
define_integrated_time
<not_specific>
def define_integrated_time(time: list, n_shooting: tuple, nstep: int): """ Create the time vector corresponding to the integrated time Parameters ---------- time : list List of duration of each phase of the simulation n_shooting : tuple Number of shooting points for each phase ...
Create the time vector corresponding to the integrated time Parameters ---------- time : list List of duration of each phase of the simulation n_shooting : tuple Number of shooting points for each phase nstep : int Number of integration steps
Create the time vector corresponding to the integrated time Parameters time : list List of duration of each phase of the simulation n_shooting : tuple Number of shooting points for each phase nstep : int Number of integration steps
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def define_integrated_time(time: list, n_shooting: tuple, nstep: int): time_integrated = np.array([]) cum_time = get_cum_time(time) for i, n_shoot in enumerate(n_shooting): periode = (cum_time[i + 1] - cum_time[i]) / n_shoot for ii in range(n_shoot): t_linspace = np.linspace(cum_...
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Create the time vector corresponding to the integrated time Parameters
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[ "\"\"\"\n Create the time vector corresponding to the integrated time\n\n Parameters\n ----------\n time : list\n List of duration of each phase of the simulation\n n_shooting : tuple\n Number of shooting points for each phase\n nstep : int\n Number of integration steps\n \...
[ { "param": "time", "type": "list" }, { "param": "n_shooting", "type": "tuple" }, { "param": "nstep", "type": "int" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "time", "type": "list", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "n_shooting", "type": "tuple", "docstring": null, "docstring...
6294fbedb86c7df2a987c45fc9ad1194e6f40a42
Ipuch/OnDynamicsForSommersaults
analyses/utils.py
[ "MIT" ]
Python
define_control_integrated
<not_specific>
def define_control_integrated(controls: list, nstep: int, key: str = "tau"): """ Creates the integrated vector of controls for a chosen key Parameters ---------- controls : list[dict] List of controls nstep : int Number of steps of the OdeSolver key : str Key of the ...
Creates the integrated vector of controls for a chosen key Parameters ---------- controls : list[dict] List of controls nstep : int Number of steps of the OdeSolver key : str Key of the chosen control such as "tau" or "qddot"
Creates the integrated vector of controls for a chosen key Parameters controls : list[dict] List of controls nstep : int Number of steps of the OdeSolver key : str Key of the chosen control such as "tau" or "qddot"
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def define_control_integrated(controls: list, nstep: int, key: str = "tau"): tau_integrated = np.hstack( ( np.repeat(controls[0][key], nstep + 1, axis=1)[:, :-nstep], np.repeat(controls[1][key], nstep + 1, axis=1)[:, :-nstep], ) ) return tau_integrated
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Creates the integrated vector of controls for a chosen key Parameters
[ "Creates", "the", "integrated", "vector", "of", "controls", "for", "a", "chosen", "key", "Parameters" ]
[ "\"\"\"\n Creates the integrated vector of controls for a chosen key\n\n Parameters\n ----------\n controls : list[dict]\n List of controls\n nstep : int\n Number of steps of the OdeSolver\n key : str\n Key of the chosen control such as \"tau\" or \"qddot\"\n \"\"\"" ]
[ { "param": "controls", "type": "list" }, { "param": "nstep", "type": "int" }, { "param": "key", "type": "str" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "controls", "type": "list", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "nstep", "type": "int", "docstring": null, "docstring_to...
6294fbedb86c7df2a987c45fc9ad1194e6f40a42
Ipuch/OnDynamicsForSommersaults
analyses/utils.py
[ "MIT" ]
Python
root_explicit_dynamics
<not_specific>
def root_explicit_dynamics(m: biorbd.Model(), q: np.array, qdot: np.array, qddot_joints: np.array): """ Compute the root acceleration from the explicit dynamics Parameters ---------- m : biorbd.Model biorbd model q : np.array generalized coordinates qdot : np.array g...
Compute the root acceleration from the explicit dynamics Parameters ---------- m : biorbd.Model biorbd model q : np.array generalized coordinates qdot : np.array generalized velocities qddot_joints : np.array generalized accelerations of the joints
Compute the root acceleration from the explicit dynamics Parameters m : biorbd.Model biorbd model q : np.array generalized coordinates qdot : np.array generalized velocities qddot_joints : np.array generalized accelerations of the joints
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def root_explicit_dynamics(m: biorbd.Model(), q: np.array, qdot: np.array, qddot_joints: np.array): mass_matrix_nl_effects = m.InverseDynamics(q, qdot, np.hstack((np.zeros((6,)), qddot_joints))).to_array()[:6] mass_matrix = m.massMatrix(q).to_array() qddot_base = -np.linalg.solve(mass_matrix[:6, :6], np.eye...
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Compute the root acceleration from the explicit dynamics Parameters
[ "Compute", "the", "root", "acceleration", "from", "the", "explicit", "dynamics", "Parameters" ]
[ "\"\"\"\n Compute the root acceleration from the explicit dynamics\n\n Parameters\n ----------\n m : biorbd.Model\n biorbd model\n q : np.array\n generalized coordinates\n qdot : np.array\n generalized velocities\n qddot_joints : np.array\n generalized accelerations ...
[ { "param": "m", "type": "biorbd.Model()" }, { "param": "q", "type": "np.array" }, { "param": "qdot", "type": "np.array" }, { "param": "qddot_joints", "type": "np.array" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "m", "type": "biorbd.Model()", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "q", "type": "np.array", "docstring": null, "docstrin...
6294fbedb86c7df2a987c45fc9ad1194e6f40a42
Ipuch/OnDynamicsForSommersaults
analyses/utils.py
[ "MIT" ]
Python
my_shaded_trace
<not_specific>
def my_shaded_trace( fig: go.Figure, df: DataFrame, d: str, color: str, grps: list, key: str, col=None, row=None, show_legend=True ): """ Add a shaded trace to a plotly figure Parameters ---------- fig : go.Figure The figure to which the trace will be added df : DataFrame Th...
Add a shaded trace to a plotly figure Parameters ---------- fig : go.Figure The figure to which the trace will be added df : DataFrame The dataframe containing the data d : str The dynamics type of concern color : str The color of the trace grps : list ...
Add a shaded trace to a plotly figure Parameters
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def my_shaded_trace( fig: go.Figure, df: DataFrame, d: str, color: str, grps: list, key: str, col=None, row=None, show_legend=True ): my_boolean = df["dynamics_type_label"] == d c_rgb = px.colors.hex_to_rgb(color) c_alpha = str(f"rgba({c_rgb[0]},{c_rgb[1]},{c_rgb[2]},0.2)") fig.add_scatter( ...
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Add a shaded trace to a plotly figure Parameters
[ "Add", "a", "shaded", "trace", "to", "a", "plotly", "figure", "Parameters" ]
[ "\"\"\"\n Add a shaded trace to a plotly figure\n\n Parameters\n ----------\n fig : go.Figure\n The figure to which the trace will be added\n df : DataFrame\n The dataframe containing the data\n d : str\n The dynamics type of concern\n color : str\n The color of the ...
[ { "param": "fig", "type": "go.Figure" }, { "param": "df", "type": "DataFrame" }, { "param": "d", "type": "str" }, { "param": "color", "type": "str" }, { "param": "grps", "type": "list" }, { "param": "key", "type": "str" }, { "param": "col",...
{ "returns": [], "raises": [], "params": [ { "identifier": "fig", "type": "go.Figure", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "df", "type": "DataFrame", "docstring": null, "docstring...
6294fbedb86c7df2a987c45fc9ad1194e6f40a42
Ipuch/OnDynamicsForSommersaults
analyses/utils.py
[ "MIT" ]
Python
generate_windows_size
tuple
def generate_windows_size(nb: int) -> tuple: """ Defines the number of column and rows of subplots from the number of variables to plot. Parameters ---------- nb: int Number of variables to plot Returns ------- The optimized number of rows and columns """ n_rows = int(...
Defines the number of column and rows of subplots from the number of variables to plot. Parameters ---------- nb: int Number of variables to plot Returns ------- The optimized number of rows and columns
Defines the number of column and rows of subplots from the number of variables to plot. Parameters int Number of variables to plot Returns The optimized number of rows and columns
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def generate_windows_size(nb: int) -> tuple: n_rows = int(round(np.sqrt(nb))) return n_rows + 1 if n_rows * n_rows < nb else n_rows, n_rows
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Defines the number of column and rows of subplots from the number of variables to plot.
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[ "\"\"\"\n Defines the number of column and rows of subplots from the number of variables to plot.\n\n Parameters\n ----------\n nb: int\n Number of variables to plot\n\n Returns\n -------\n The optimized number of rows and columns\n \"\"\"" ]
[ { "param": "nb", "type": "int" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "nb", "type": "int", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }