diff --git a/.gitignore b/.gitignore index d9a5720..09bba41 100644 --- a/.gitignore +++ b/.gitignore @@ -4,3 +4,4 @@ __pycache__ *.conllu *.gz .vscode +*.pickle diff --git a/EvolutionaryAlgorithm/EvolutionaryAlgorithm.ipynb b/EvolutionaryAlgorithm/EvolutionaryAlgorithm.ipynb new file mode 100644 index 0000000..f65e2db --- /dev/null +++ b/EvolutionaryAlgorithm/EvolutionaryAlgorithm.ipynb @@ -0,0 +1,2383 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + " \n", + " " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + " \n", + " " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import sys\n", + "sys.path.append(\"../\")\n", + "sys.path.append(\"../RecipeAnalysis/\")\n", + "\n", + "import settings\n", + "\n", + "import pycrfsuite\n", + "\n", + "import json\n", + "\n", + "import db.db_settings as db_settings\n", + "from db.database_connection import DatabaseConnection\n", + "\n", + "from Tagging.conllu_generator import ConlluGenerator\n", + "from Tagging.crf_data_generator import *\n", + "\n", + "from RecipeAnalysis.Recipe import Ingredient\n", + "\n", + "from difflib import SequenceMatcher\n", + "\n", + "import numpy as np\n", + "\n", + "import plotly.graph_objs as go\n", + "from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot\n", + "from plotly.subplots import make_subplots\n", + "init_notebook_mode(connected=True)\n", + "\n", + "from graphviz import Digraph\n", + "\n", + "import itertools\n", + "\n", + "import random\n", + "\n", + "import plotly.io as pio\n", + "pio.renderers.default = \"jupyterlab\"\n", + "\n", + "from IPython.display import Markdown, HTML, display\n", + "\n", + "from copy import deepcopy" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "import pickle\n", + "m_act = pickle.load(open(\"m_act.pickle\", \"rb\"))\n", + "m_mix = pickle.load(open(\"m_mix.pickle\", \"rb\"))\n", + "m_base_act = pickle.load(open(\"m_base_act.pickle\", \"rb\"))\n", + "m_base_mix = pickle.load(open(\"m_base_mix.pickle\", \"rb\"))\n", + "\n", + "c_act = m_act.get_csr()\n", + "c_mix = m_mix.get_csr()\n", + "c_base_act = m_base_act.get_csr()\n", + "c_base_mix = m_base_mix.get_csr()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "actions = m_act.get_labels()[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "base_ingredients = m_base_mix.get_labels()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "def get_sym_adjacent(key, m, c):\n", + " index = m._label_index[key]\n", + " i1 = c[index,:].nonzero()[1]\n", + " i2 = c[:,index].nonzero()[0]\n", + " \n", + " i = np.concatenate((i1,i2))\n", + " \n", + " names = np.array(m.get_labels())[i]\n", + " \n", + " counts = np.concatenate((c[index, i1].toarray().flatten(), c[i2, index].toarray().flatten()))\n", + " \n", + " s = np.argsort(-counts)\n", + " \n", + " return names[s], counts[s]" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "def get_forward_adjacent(key, m, c):\n", + " index = m._x_label_index[key]\n", + " i = c[index,:].nonzero()[1]\n", + " \n", + " names = np.array(m._y_labels)[i]\n", + " \n", + " counts = c[index, i].toarray().flatten()\n", + " \n", + " s = np.argsort(-counts)\n", + " \n", + " return names[s], counts[s]" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "def get_backward_adjacent(key, m, c):\n", + " index = m._y_label_index[key]\n", + " i = c[:,index].nonzero()[0]\n", + " \n", + " names = np.array(m._x_labels)[i]\n", + " \n", + " counts = c[i, index].toarray().flatten()\n", + " \n", + " s = np.argsort(-counts)\n", + " \n", + " return names[s], counts[s]" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "def sym_sum(key, m, c):\n", + " return np.sum(get_sym_adjacent(key,m,c)[1])\n", + "\n", + "def fw_sum(key, m, c):\n", + " return np.sum(get_forward_adjacent(key,m,c)[1])\n", + "\n", + "def bw_sum(key, m, c):\n", + " return np.sum(get_backward_adjacent(key,m,c)[1])" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "def sym_score(key_a, key_b, m, c):\n", + "\n", + " ia = m._label_index[key_a]\n", + " ib = m._label_index[key_b]\n", + " \n", + " v = c[ia,ib] + c[ib,ia]\n", + " \n", + " if v == 0:\n", + " return 0\n", + " \n", + " return max((v/sym_sum(key_a, m, c)), (v/sym_sum(key_b, m, c)))\n", + "\n", + "def asym_score(key_a, key_b, m, c):\n", + " ia = m._x_label_index[key_a]\n", + " ib = m._y_label_index[key_b]\n", + " \n", + " v = c[ia,ib]\n", + " \n", + " if v == 0:\n", + " return 0\n", + " \n", + " return max(v/fw_sum(key_a, m, c), v/bw_sum(key_b, m, c))" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "class RecipeTreeNode(object):\n", + " \n", + " id = 0\n", + " \n", + " def __init__(self, name, constant=False, single_child=False):\n", + " self._constant = constant\n", + " self._name = name\n", + " self._parent = None\n", + " \n", + " self._id = str(RecipeTreeNode.id)\n", + " RecipeTreeNode.id += 1\n", + " \n", + " self._single_child = single_child\n", + " \n", + " if self._single_child:\n", + " self._child = None\n", + " \n", + " def child():\n", + " return self._child\n", + " \n", + " def remove_child(c):\n", + " assert c == self._child\n", + " self._child._parent = None\n", + " self._child = None\n", + " \n", + " def childs():\n", + " c = self.child()\n", + " if c is None:\n", + " return set()\n", + " return set([c])\n", + " \n", + " def add_child(n):\n", + " self._child = n\n", + " n._parent = self\n", + " \n", + " self.child = child\n", + " self.childs = childs\n", + " self.add_child = add_child\n", + " self.remove_child = remove_child\n", + " else:\n", + " self._childs = set()\n", + " \n", + " def childs():\n", + " return self._childs\n", + " \n", + " def add_child(n):\n", + " self._childs.add(n)\n", + " n._parent = self\n", + " \n", + " def remove_child(c):\n", + " assert c in self._childs\n", + " c._parent = None\n", + " self._childs.remove(c)\n", + " \n", + " self.childs = childs\n", + " self.add_child = add_child\n", + " self.remove_child = remove_child\n", + " \n", + " def parent(self):\n", + " return self._parent\n", + " \n", + " def name(self):\n", + " return self._name\n", + " \n", + " def traverse(self):\n", + " l = []\n", + " \n", + " for c in self.childs():\n", + " l += c.traverse()\n", + " \n", + " return [self] + l\n", + " \n", + " def traverse_ingredients(self):\n", + " ingredient_set = []\n", + " for c in self.childs():\n", + " ingredient_set += c.traverse_ingredients()\n", + " \n", + " return ingredient_set\n", + " \n", + " def remove(self):\n", + " p = self.parent()\n", + " childs = self.childs().copy()\n", + " \n", + " assert p is None or not (len(childs) > 1 and p._single_child)\n", + " \n", + " for c in childs:\n", + " self.remove_child(c)\n", + " \n", + " if p is not None:\n", + " p.remove_child(self)\n", + " \n", + " if self._single_child and self._child is not None and p._name == self._child._name:\n", + " # two adjacent nodes with same name would remain after deletion.\n", + " # merge them! (by adding the child's childs to our parent instead of our childs)\n", + " childs = self._child.childs()\n", + " self._child.remove()\n", + " \n", + " \n", + " for c in childs:\n", + " p.add_child(c)\n", + " \n", + " def insert_before(self, n):\n", + " p = self._parent\n", + " if p is not None:\n", + " p.remove_child(self)\n", + " p.add_child(n)\n", + " n.add_child(self)\n", + " \n", + " def mutate(self):\n", + " n_node = self.n_node_mutate_options()\n", + " n_edge = self.n_edge_mutate_options()\n", + " \n", + " choice = random.choice(range(n_node + n_edge))\n", + " if choice < n_node:\n", + " self.mutate_node()\n", + " else:\n", + " self.mutate_edges()\n", + " \n", + " def mutate_edges(self):\n", + " ings = self.traverse_ingredients()\n", + " ing = random.choice(ings)\n", + " \n", + " a, w = get_backward_adjacent(ing._base_ingredient, m_base_act, c_base_act)\n", + " \n", + " action = random.choices(a, w)[0]\n", + " self.insert_before(ActionNode(action))\n", + " \n", + " def mutate_node(self):\n", + " raise NotImplementedError\n", + " \n", + " def n_node_mutate_options(self):\n", + " \n", + " return 0 if self._constant else 1\n", + " \n", + " def n_edge_mutate_options(self):\n", + " n = 1 if self._parent is not None else 0\n", + " return n\n", + " \n", + " def n_mutate_options(self):\n", + " return self.n_edge_mutate_options() + self.n_node_mutate_options()\n", + " \n", + " def dot_node(self, dot):\n", + " raise NotImplementedError()\n", + " \n", + " def dot(self, d=None):\n", + " if d is None:\n", + " d = Digraph()\n", + " self.dot_node(d)\n", + " \n", + " else:\n", + " self.dot_node(d)\n", + " if self._parent is not None:\n", + " d.edge(self._parent._id, self._id)\n", + " \n", + " \n", + " for c in self.childs():\n", + " c.dot(d)\n", + " \n", + " return d\n", + " \n", + " def serialize(self):\n", + " r = {}\n", + " r['type'] = str(self.__class__.__name__)\n", + " r['id'] = self._id\n", + " r['parent'] = self._parent._id if self._parent is not None else None\n", + " r['name'] = self._name\n", + " r['childs'] = [c._id for c in self.childs()]\n", + " r['constant'] = self._constant\n", + " r['single_child'] = self._single_child\n", + " \n", + " return r\n", + " \n", + " def node_score(self):\n", + " raise NotImplementedError()\n", + " \n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "class MixNode(RecipeTreeNode):\n", + " def __init__(self, constant=False):\n", + " super().__init__(\"mix\", constant, single_child=False)\n", + " \n", + " def dot_node(self, dot):\n", + " dot.node(self._id, label=f\"{self._name} ({self.node_score()})\", shape=\"diamond\")\n", + " \n", + " def split(self, set_above, set_below, node_between):\n", + " assert len(set_above.difference(self.childs())) == 0\n", + " assert len(set_below.difference(self.childs())) == 0\n", + " \n", + " n_above = MixNode()\n", + " n_below = MixNode()\n", + " \n", + " p = self.parent()\n", + " \n", + " for c in self.childs().copy():\n", + " self.remove_child(c)\n", + " self.remove()\n", + " \n", + " for c in set_below:\n", + " n_below.add_child(c)\n", + " \n", + " for c in set_above:\n", + " n_above.add_child(c)\n", + " \n", + " n_above.add_child(node_between)\n", + " node_between.add_child(n_below)\n", + " \n", + " if p is not None:\n", + " p.add_child(n_above)\n", + " \n", + " # test whether the mix nodes are useless\n", + " if len(n_above.childs()) == 1:\n", + " n_above.remove()\n", + " \n", + " if len(n_below.childs()) == 1:\n", + " n_below.remove()\n", + " \n", + " def n_node_mutate_options(self):\n", + " return 0 if self._constant or len(self.childs()) <= 2 else len(self.childs())\n", + " \n", + " def mutate_node(self):\n", + " \n", + " childs = self.childs()\n", + " \n", + " if len(childs) <= 2:\n", + " print(\"Warning: cannot modify mix node\")\n", + " return\n", + " \n", + " childs = random.sample(childs, len(childs))\n", + " \n", + " n = random.choice(range(1, len(childs)-1))\n", + " \n", + " between_node = ActionNode(random.choice(actions))\n", + " \n", + " self.split(set(childs[:n]), set(childs[n:]), between_node)\n", + " \n", + " \n", + " def node_score(self):\n", + " child_ingredients = [c.traverse_ingredients() for c in self.childs()]\n", + " products = [itertools.product(child_ingredients[i-1],child_ingredients[i]) for i in range(len(child_ingredients))]\n", + " pairwise_tuples = []\n", + " for p in products:\n", + " pairwise_tuples += [x for x in p]\n", + " \n", + " s_base = 0\n", + " s = 0\n", + " \n", + " for ing_a, ing_b in pairwise_tuples:\n", + " try:\n", + " #s_base += sym_score(ing_a._base_ingredient, ing_b._base_ingredient, m_base_mix, c_base_mix)\n", + " s += sym_score(ing_a.to_json(), ing_b.to_json(), m_mix, c_mix)\n", + " except:\n", + " pass\n", + " \n", + " #s_base /= len(pairwise_tuples)\n", + " s /= len(pairwise_tuples)\n", + " \n", + " #return 0.5 * (s_base + s)\n", + " return s\n", + " \n", + " \n", + " \n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "class IngredientNode(RecipeTreeNode):\n", + " def __init__(self, name, constant=False):\n", + " super().__init__(name, constant, single_child=True)\n", + " \n", + " def get_actions(self):\n", + " a_set = set()\n", + " n = self.parent()\n", + " while n is not None:\n", + " if type(n) == ActionNode:\n", + " a_set.add(n.name())\n", + " return a_set\n", + " \n", + " def mutate_node(self):\n", + " self._name = random.choice(base_ingredients)\n", + " \n", + " def traverse_ingredients(self):\n", + " return [Ingredient(self._name)]\n", + " \n", + " def node_score(self):\n", + " return 0\n", + " \n", + " \n", + " def dot_node(self, dot):\n", + " dot.node(self._id, label=f\"{self._name} ({self.node_score()})\", shape=\"box\")" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "class ActionNode(RecipeTreeNode):\n", + " def __init__(self, name, constant=False):\n", + " super().__init__(name, constant, single_child=True)\n", + " \n", + " def n_node_mutate_options(self):\n", + " # beacause we can change or remove ourselve!\n", + " return 0 if self._constant else 2 \n", + " def mutate_node(self):\n", + " if random.choice(range(2)) == 0:\n", + " # change action\n", + " self._name = random.choice(actions)\n", + " else:\n", + " # delete\n", + " self.remove()\n", + " \n", + " def traverse_ingredients(self):\n", + " ingredient_set = super().traverse_ingredients()\n", + " for ing in ingredient_set:\n", + " ing.apply_action(self._name)\n", + " \n", + " return ingredient_set\n", + " \n", + " def node_score(self):\n", + " ings = self.child().traverse_ingredients()\n", + " \n", + " s = 0\n", + " \n", + " for ing in ings:\n", + " try:\n", + " score = asym_score(self._name, ing.to_json(), m_act, c_act)\n", + " #base_score = asym_score(self._name, ing._base_ingredient, m_base_act, c_base_act)\n", + " s += score\n", + " except KeyError as e:\n", + " pass\n", + " \n", + " \n", + " return s / len(ings)\n", + " \n", + " def dot_node(self, dot):\n", + " dot.node(self._id, label=f\"{self._name} ({self.node_score()})\", shape=\"ellipse\")" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "class Tree(object):\n", + " \n", + " @staticmethod\n", + " def from_ingredients(ingredients: list):\n", + " root = MixNode()\n", + " \n", + " for ing in ingredients:\n", + " root.add_child(IngredientNode(ing, constant=True))\n", + " \n", + " return Tree(root)\n", + " \n", + " @staticmethod\n", + " def from_serialization(s):\n", + " def empty_node(raw_n):\n", + " if raw_n['type'] == \"MixNode\":\n", + " node = MixNode(raw_n['constant'])\n", + " elif raw_n['type'] == \"IngredientNode\":\n", + " node = IngredientNode(raw_n['name'], raw_n['constant'])\n", + " elif raw_n['type'] == \"ActionNode\":\n", + " node = ActionNode(raw_n['name'], raw_n['constant'])\n", + " else:\n", + " print(\"unknown node detected\")\n", + " return\n", + " \n", + " return node\n", + " \n", + " nodes = {}\n", + " for n in s:\n", + " nodes[n['id']] = empty_node(n)\n", + " \n", + " for n in s:\n", + " childs = n['childs']\n", + " id = n['id']\n", + " for c in childs:\n", + " nodes[id].add_child(nodes[c])\n", + " \n", + " return Tree(nodes[s[0]['id']])\n", + " \n", + " \n", + " def __init__(self, root):\n", + " # create a dummy entry node\n", + " self._root = RecipeTreeNode(\"root\", single_child=True)\n", + " self._root.add_child(root)\n", + " \n", + " def root(self):\n", + " return self._root.child()\n", + " \n", + " def mutate(self):\n", + " nodes = self.root().traverse()\n", + " weights = [n.n_mutate_options() for n in nodes]\n", + " \n", + " n = random.choices(nodes, weights)[0]\n", + " \n", + " n.mutate()\n", + " \n", + " def dot(self):\n", + " return self.root().dot()\n", + " \n", + " def serialize(self):\n", + " return [n.serialize() for n in self.root().traverse()]\n", + " \n", + " def structure_score(self):\n", + " n_duplicates = 0\n", + " \n", + " \n", + " \n", + " \n", + " def score(self):\n", + " \n", + " scores = []\n", + " \n", + " nodes = self.root().traverse()\n", + " n_nodes = 0\n", + " s = 0\n", + " for n in nodes:\n", + " if type(n) != IngredientNode:\n", + " scores.append(n.node_score())\n", + " n_nodes += 1\n", + " \n", + " n_duplicates = 0\n", + " seen_actions = set()\n", + " \n", + " for n in nodes:\n", + " if type(n) == ActionNode:\n", + " if n.name() in seen_actions:\n", + " n_duplicates += 1\n", + " else:\n", + " seen_actions.add(n.name())\n", + " \n", + " \n", + " return (sum(scores)/n_nodes) + 1 / (n_duplicates + 1)\n", + " \n", + " def copy(self):\n", + " return Tree.from_serialization(self.serialize())\n" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "class Population(object):\n", + " def __init__(self, start_ingredients, n_population = 10):\n", + " self.population = [Tree.from_ingredients(start_ingredients) for i in range(n_population)]\n", + " self._n = n_population\n", + " \n", + " def mutate(self):\n", + " for tree in self.population.copy():\n", + " t_clone = tree.copy()\n", + " t_clone.mutate()\n", + " self.population.append(t_clone)\n", + " \n", + " def pairwise_competition(self):\n", + " new_population = []\n", + " random.shuffle(self.population)\n", + " \n", + " for i in range(self._n):\n", + " t_a = self.population[2*i]\n", + " t_b = self.population[2*i+1]\n", + " \n", + " if t_a.score() > t_b.score():\n", + " new_population.append(t_a)\n", + " else:\n", + " new_population.append(t_b)\n", + " \n", + " self.population = new_population\n", + " \n", + " def run(self, n=50):\n", + " for i in range(n):\n", + " print(i)\n", + " self.mutate()\n", + " self.pairwise_competition()\n", + " \n", + " def plot_population(self):\n", + " for t in self.population:\n", + " display(t.root().dot())" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "p = Population([\"bacon\", \"mushroom\", \"noodle\", \"water\", \"egg\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0\n", + "1\n", + "2\n", + "3\n", + "4\n", + "5\n", + "6\n", + "7\n", + "8\n", + "9\n", + "10\n", + "11\n", + "12\n", + "13\n", + "14\n", + "15\n", + "16\n", + "17\n", + "18\n", + "19\n" + ] + } + ], + "source": [ + "p.run(20)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "%3\n", + "\n", + "\n", + "\n", + "2007\n", + "\n", + "cook (0.15189682906603946)\n", + "\n", + "\n", + "\n", + "2008\n", + "\n", + "mix (0.001416476454114257)\n", + "\n", + "\n", + "\n", + "2007->2008\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "2010\n", + "\n", + "beat (0.33658536585365856)\n", + 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"execution_count": 48, + "metadata": {}, + "outputs": [], + "source": [ + "t2 = Tree.from_serialization(t.serialize())" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": {}, + "outputs": [], + "source": [ + "t.mutate()" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.00499001996007984" + ] + }, + "execution_count": 54, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "t.score()" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "%3\n", + "\n", + "\n", + "\n", + "43\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "44\n", + "\n", + "chocolate\n", + "\n", + "\n", + "\n", + "43->44\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "51\n", + "\n", + "beat\n", + "\n", + "\n", + "\n", + "43->51\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "45\n", + "\n", + "sugar\n", + "\n", + "\n", + "\n", + "51->45\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 51, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "t.root().dot()" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'pepper'" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "list(t.root().childs())[0]._name" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [], + "source": [ + "n = IngredientNode(\"test\")" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 43, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "n.traverse() == IngredientNode" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.3" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/RecipeAnalysis/AdjacencyMatrix.ipynb b/RecipeAnalysis/AdjacencyMatrix.ipynb new file mode 100644 index 0000000..dbd15b7 --- /dev/null +++ b/RecipeAnalysis/AdjacencyMatrix.ipynb @@ -0,0 +1,136 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Adjacency Matrix" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "\n", + "from scipy.sparse import csr_matrix, lil_matrix, coo_matrix" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "class adj_matrix(object):\n", + " def __init__(self, symmetric_indices=False):\n", + " \n", + " self._sym = symmetric_indices\n", + " if not symmetric_indices:\n", + " self._x_labels = []\n", + " self._y_labels = []\n", + "\n", + " self._x_label_index={}\n", + " self._y_label_index={}\n", + " \n", + " else:\n", + " self._labels = []\n", + " self._label_index={}\n", + " \n", + " self._x = []\n", + " self._y = []\n", + " self._data = []\n", + " \n", + " self._mat = None\n", + " \n", + " def _get_ix(self, label):\n", + " i = self._x_label_index.get(label)\n", + " if i is None:\n", + " i = len(self._x_labels)\n", + " self._x_labels.append(label)\n", + " self._x_label_index[label] = i\n", + " return i\n", + " \n", + " def _get_iy(self, label):\n", + " i = self._y_label_index.get(label)\n", + " if i is None:\n", + " i = len(self._y_labels)\n", + " self._y_labels.append(label)\n", + " self._y_label_index[label] = i\n", + " return i\n", + " \n", + " def _get_i(self, label):\n", + " i = self._label_index.get(label)\n", + " if i is None:\n", + " i = len(self._labels)\n", + " self._labels.append(label)\n", + " self._label_index[label] = i\n", + " return i\n", + " \n", + " def add_entry(self, x, y, data):\n", + " \n", + " if self._sym:\n", + " ix = self._get_i(x)\n", + " iy = self._get_i(y)\n", + " \n", + " else:\n", + " ix = self._get_ix(x)\n", + " iy = self._get_iy(y)\n", + " \n", + " self._x.append(ix)\n", + " self._y.append(iy)\n", + " self._data.append(data)\n", + " \n", + " \n", + " def compile_to_mat(self):\n", + " if self._sym:\n", + " sx = len(self._labels)\n", + " sy = len(self._labels)\n", + " else:\n", + " sx = len(self._x_labels)\n", + " sy = len(self._y_labels)\n", + " \n", + " self._mat = coo_matrix((self._data, (self._x, self._y)), shape=(sx,sy))\n", + " return self._mat\n", + " \n", + " def get_csr(self):\n", + " return self.compile_to_mat().tocsr()\n", + " \n", + " def get_labels(self):\n", + " if self._sym:\n", + " return self._labels\n", + " return self._x_labels, self._y_labels" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.3" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/RecipeAnalysis/AdjacencyMatrix.py b/RecipeAnalysis/AdjacencyMatrix.py new file mode 100644 index 0000000..4e22cf0 --- /dev/null +++ b/RecipeAnalysis/AdjacencyMatrix.py @@ -0,0 +1,91 @@ +#!/usr/bin/env python3 +# coding: utf-8 + +# # Adjacency Matrix + +import numpy as np + +from scipy.sparse import csr_matrix, lil_matrix, coo_matrix + + +class adj_matrix(object): + def __init__(self, symmetric_indices=False): + + self._sym = symmetric_indices + if not symmetric_indices: + self._x_labels = [] + self._y_labels = [] + + self._x_label_index={} + self._y_label_index={} + + else: + self._labels = [] + self._label_index={} + + self._x = [] + self._y = [] + self._data = [] + + self._mat = None + + def _get_ix(self, label): + i = self._x_label_index.get(label) + if i is None: + i = len(self._x_labels) + self._x_labels.append(label) + self._x_label_index[label] = i + return i + + def _get_iy(self, label): + i = self._y_label_index.get(label) + if i is None: + i = len(self._y_labels) + self._y_labels.append(label) + self._y_label_index[label] = i + return i + + def _get_i(self, label): + i = self._label_index.get(label) + if i is None: + i = len(self._labels) + self._labels.append(label) + self._label_index[label] = i + return i + + def add_entry(self, x, y, data): + + if self._sym: + ix = self._get_i(x) + iy = self._get_i(y) + + else: + ix = self._get_ix(x) + iy = self._get_iy(y) + + self._x.append(ix) + self._y.append(iy) + self._data.append(data) + + def compile_to_mat(self): + if self._sym: + sx = len(self._labels) + sy = len(self._labels) + else: + sx = len(self._x_labels) + sy = len(self._y_labels) + + self._mat = coo_matrix((self._data, (self._x, self._y)), shape=(sx,sy)) + return self._mat + + def get_csr(self): + return self.compile_to_mat().tocsr() + + def get_labels(self): + if self._sym: + return self._labels + return self._x_labels, self._y_labels + + + + diff --git a/RecipeAnalysis/AdjacencyMatrixTests.ipynb b/RecipeAnalysis/AdjacencyMatrixTests.ipynb new file mode 100644 index 0000000..23c2239 --- /dev/null +++ b/RecipeAnalysis/AdjacencyMatrixTests.ipynb @@ -0,0 +1,72 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Evaluate Adjacency Matrices" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import pickle" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "m_act = pickle.load(open(\"m_act.pickle\", \"rb\"))\n", + "m_mix = pickle.load(open(\"m_mix.pickle\", \"rb\"))\n", + "m_base_act = pickle.load(open(\"m_base_act.pickle\", \"rb\"))\n", + "m_base_mix = pickle.load(open(\"m_base_mix.pickle\", \"rb\"))" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "c_act = m_act.get_csr()\n", + "c_mix = m_mix.get_csr()\n", + "c_base_act = m_base_act.get_csr()\n", + "c_base_mix = m_base_mix.get_csr()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.3" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/RecipeAnalysis/InputTrees.ipynb b/RecipeAnalysis/InputTrees.ipynb new file mode 100644 index 0000000..c3f5433 --- /dev/null +++ b/RecipeAnalysis/InputTrees.ipynb @@ -0,0 +1,36030 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import sys\n", + "sys.path.append(\"../\")\n", + "from Recipe import Recipe, Ingredient, RecipeGraph\n", + "\n", + "import settings\n", + "import db.db_settings as db_settings\n", + "from db.database_connection import DatabaseConnection\n", + "\n", + "import random\n", + "\n", + "DatabaseConnection(db_settings.db_host,\n", + " db_settings.db_port,\n", + " db_settings.db_user,\n", + " db_settings.db_pw,\n", + " db_settings.db_db,\n", + " db_settings.db_charset)\n", + "\n", + "%time ids = DatabaseConnection.global_single_query(\"select id from recipes\")" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/markdown": [ + "## Homemade Bacon Smoked with Barley Tea in a Pot\n", + "(ae01c70363)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '500 grams Pork belly'\n", + " * '20 grams \\[ A \\] Salt'\n", + " * '10 grams \\[ A \\] Soft brown sugar'\n", + " * '1/2 tbsp \\[ A \\] Nutmeg'\n", + " * '1/2 tbsp \\[ A \\] Allspice'\n", + " * '1/2 tsp \\[ A \\] Chilli powder'\n", + " * '1/2 tsp \\[ A \\] Cinnamon'\n", + " * '1/2 tsp \\[ A \\] Paprika'\n", + " * '1 \\[ A \\] Black pepper'\n", + " * '1 several \\[ A \\] Bay leaves'\n", + " * '10 Barley tea bags'\n", + " * '1 dash Sugar'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Rinse the pork belly with water .\n", + " * Remove any blood from the pork when cleaning .\n", + " * Pat dry well .\n", + " * Prick all over the surface with a fork to allow it to absorb the spice well .\n", + " * Combine \\[ A \\] ingredients .\n", + " * Make sure that the amount of salt and sugar is correct .\n", + " * You do n't have to measure the other spices precisely .\n", + " * Finely shred the bay leaves and sage .\n", + " * Rub the \\[ A \\] spice mix onto the surface of the pork belly .\n", + " * Put the pork into a resealable bag and massage the meat over the bag .\n", + " * Rest in the fridge for 5 days to one week .\n", + " * Massage the meat gently once a day .\n", + " * After 5 days to one week , soak the pork in water to remove the saltiness .\n", + " * It usually takes 1-2 hours .\n", + " * Slice off a small bit and fry to check the taste .\n", + " * When the taste is right , pat dry .\n", + " * Leave to rest in the fridge for one day to dry .\n", + " * After one day , prepare for smoking .\n", + " * Empty the barley tea from the bags .\n", + " * Combine the tea and sugar .\n", + " * You will use this mixture instead of smoking chips .\n", + " * Place empty tins in a pot .\n", + " * Cover the bottom of the pot with the smoking mixture .\n", + " * Place a metal rack over the tins .\n", + " * Cover with a lid and it is ready for smoking .\n", + " * If you do n't want to make the pot dirty , line the bottom of the pot with aluminum foil .\n", + " * I bought a cheap metal rack from a pound shop and cut into a suitable shape to fit in the pot .\n", + " * Place the pork on the rack and start smoking .\n", + " * Keep the heat high until the smoke starts .\n", + " * When the smoke starts , turn down the heat to low and cover with a lid .\n", + " * Turn over the pork halfway through and continue to smoke .\n", + " * It usually takes an hour but it depends on the size of the pork .\n", + " * After smoking , wrap the pork in cling film and leave to rest in the fridge for one day .\n", + " * You can eat it without doing this .\n", + " * After one day , it is ready .\n", + " * You can eat as it is but I like browning the slices in a frying pan without oil .\n", + " * \\[ Note : \\] Fat drippings stop the smoke .\n", + " * Make a small saucer to place on the smoking mixture to catch the drippings ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "fry6\n", + "\n", + "fry\n", + "\n", + "\n", + "\n", + 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+ "\n", + "\n", + "\n", + "\n", + "nutmeg\n", + "\n", + "nutmeg\n", + "\n", + "\n", + "\n", + "paprika\n", + "\n", + "paprika\n", + "\n", + "\n", + "\n", + "water\n", + "\n", + "water\n", + "\n", + "\n", + "\n", + "water->rinse0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix0->fry6\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "brown\n", + "\n", + "brown\n", + "\n", + "\n", + "\n", + "brown->mix14\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "meat\n", + "\n", + "meat\n", + "\n", + "\n", + "\n", + "meat->mix5\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix5->slice5\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cut12\n", + "\n", + "cut\n", + "\n", + "\n", + "\n", + "fry8->cut12\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "slice1\n", + "\n", + "slice\n", + "\n", + "\n", + "\n", + "slice1->fry1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix2\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "mix2->slice0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "soak1\n", + "\n", + "soak\n", + "\n", + "\n", + "\n", + "soak1->slice9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "barley tea\n", + "\n", + "barley tea\n", + "\n", + "\n", + "\n", + "barley tea->mix4\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "salt\n", + "\n", + "salt\n", + "\n", + "\n", + "\n", + "salt->mix5\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix9\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "cut5->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "sugar\n", + "\n", + "sugar\n", + "\n", + "\n", + "\n", + "sage\n", + "\n", + "sage\n", + "\n", + "\n", + "\n", + "sage->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "any blood\n", + "\n", + "any blood\n", + "\n", + "\n", + "\n", + "mix1\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "any blood->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "allspice\n", + "\n", + "allspice\n", + "\n", + "\n", + "\n", + "allspice->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "leaf\n", + "\n", + "leaf\n", + "\n", + "\n", + "\n", + "leaf->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "bag\n", + "\n", + "bag\n", + "\n", + "\n", + "\n", + "bag->mix4\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "rub\n", + "\n", + "rub\n", + "\n", + "\n", + "\n", + "rub->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cut12->mix3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cut4->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "oil\n", + "\n", + "oil\n", + "\n", + "\n", + "\n", + "oil->slice4\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "place1\n", + "\n", + "place\n", + "\n", + "\n", + "\n", + "place1->mix4\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "rinse1\n", + "\n", + "rinse\n", + "\n", + "\n", + "\n", + "rinse1->soak1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "heat0\n", + "\n", + "heat\n", + "\n", + "\n", + "\n", + "heat0->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "place2->heat0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "soak0->mix5\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cinnamon\n", + "\n", + "cinnamon\n", + "\n", + "\n", + "\n", + "fat dripping\n", + "\n", + "fat dripping\n", + "\n", + "\n", + "\n", + "fat dripping->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "black pepper\n", + "\n", + "black pepper\n", + "\n", + "\n", + "\n", + "black pepper->mix3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "tin\n", + "\n", + "tin\n", + "\n", + "\n", + "\n", + "tin->place1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "place0->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix1->slice1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "pork\n", + "\n", + "pork\n", + "\n", + "\n", + "\n", + "pork->rinse1\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Tzatziki Sauce (Garlic Lover's Only!!)\n", + "(730c9cfba2)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '12 cup plain yogurt'\n", + " * '3 tablespoons sour cream'\n", + " * '4 garlic cloves , crushed'\n", + " * '13 teaspoon salt'\n", + " * '14 teaspoon pepper'\n", + " * '1 tablespoon lemon juice'\n", + " * '1 teaspoon extra virgin olive oil'\n", + " * '18 teaspoon crushed red pepper flakes'\n", + " * '13 teaspoon crushed dried mint'\n", + " * '14 cup finely diced yellow onion'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Whisk all ingredients together and chill ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "garlic clove\n", + "\n", + "garlic clove\n", + "\n", + "\n", + "\n", + "salt\n", + "\n", + "salt\n", + "\n", + "\n", + "\n", + "lemon juice\n", + "\n", + "lemon juice\n", + "\n", + "\n", + "\n", + "dice0\n", + "\n", + "dice\n", + "\n", + "\n", + "\n", + "red pepper\n", + "\n", + "red pepper\n", + "\n", + "\n", + "\n", + "olive oil\n", + "\n", + "olive oil\n", + "\n", + "\n", + "\n", + "cream\n", + "\n", + "cream\n", + "\n", + "\n", + "\n", + "sour0\n", + "\n", + "sour\n", + "\n", + "\n", + "\n", + "cream->sour0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "onion\n", + "\n", + "onion\n", + "\n", + "\n", + "\n", + "onion->dice0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "pepper\n", + "\n", + "pepper\n", + "\n", + "\n", + "\n", + "mint\n", + "\n", + "mint\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Mini Challenge: Mulberry Street Burger\n", + "(288d5e4be8)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '2 \\( 8-ounce \\) portions ground beef'\n", + " * '4 slices fresh mozzarella cheese'\n", + " * '4 slices pancetta'\n", + " * '1 tablespoon olive oil , plus more for salad'\n", + " * '1/2 cup butter'\n", + " * '3 cloves garlic'\n", + " * '3 or 4 basil leaves'\n", + " * '2 teaspoons crushed red pepper flakes'\n", + " * '2 burger buns , your choice'\n", + " * 'Baby arugula'\n", + " * '4 slices tomato'\n", + " * 'Basil Ketchup , recipe follows'\n", + " * '1/2 bunch fresh basil leaves'\n", + " * '1 cup ketchup'\n", + " * '2 cloves garlic'\n", + " * '1/2 teaspoon crushed red pepper flakes'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Heat the oven to 350 degrees F. Heat a large skillet .\n", + " * Divide each beef portion into 2 equal amounts and shape them into patties \\( you should have 4 patties altogether \\) .\n", + " * Place 2 mozzarella slices on 1 patty , then top with another patty .\n", + " * Close the edges of the patties to enclose the cheese , basically stuffing the burger with the mozzarella .\n", + " * Wrap each burger with 2 slices of pancetta .\n", + " * Heat 1 tablespoon of olive oil in a medium oven-proof skillet over medium heat and brown each burger on both sides .\n", + " * Place the burgers in the oven to finish cooking .\n", + " * In a small saucepan , melt the butter and remove from heat .\n", + " * Meanwhile , chop the garlic and basil and add to butter with 1 teaspoon red pepper flakes .\n", + " * Brush this on the burger buns and toast under the broiler or in a toaster oven .\n", + " * In a bowl , toss together the arugula , olive oil , to taste , and the remaining 1 teaspoon crushed red pepper flakes .\n", + " * Place the burgers on the bun bottoms , top with tomato slices , arugula salad and Basil Ketchup .\n", + " * A viewer , who may not be a professional cook , provided this recipe .\n", + " * The Food Network Kitchens chefs have not tested this recipe and therefore , we can not make representation as to the results .\n", + " * In a small blender or processor , blend all the ingredients .\n", + " * Transfer to a small bowl and refrigerate until ready to use ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "mix3\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "blend6\n", + "\n", + "blend\n", + "\n", + "\n", + "\n", + "mix3->blend6\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "melt0\n", + "\n", + "melt\n", + "\n", + "\n", + "\n", + "melt0->mix3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "brush0\n", + "\n", + "brush\n", + "\n", + "\n", + "\n", + "brush0->mix3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "red pepper\n", + "\n", + "red pepper\n", + "\n", + "\n", + "\n", + "mix1\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "red pepper->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix0\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "blend1\n", + "\n", + "blend\n", + "\n", + "\n", + "\n", + "mix0->blend1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "slice0\n", + "\n", + "slice\n", + "\n", + "\n", + "\n", + "place0\n", + "\n", + "place\n", + "\n", + "\n", + "\n", + "slice0->place0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "refrigerate9\n", + "\n", + "refrigerate\n", + "\n", + "\n", + "\n", + "slice1\n", + "\n", + "slice\n", + "\n", + "\n", + "\n", + "mix4\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "slice1->mix4\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "heat0\n", + "\n", + "heat\n", + "\n", + "\n", + "\n", + "heat0->mix3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "place0->mix3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "brown0\n", + "\n", + "brown\n", + "\n", + "\n", + "\n", + "blend1->brown0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "slice2\n", + "\n", + "slice\n", + "\n", + "\n", + "\n", + "mix1->slice2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "chop0\n", + "\n", + "chop\n", + "\n", + "\n", + "\n", + "chop0->mix3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "olive oil\n", + "\n", + "olive oil\n", + "\n", + "\n", + "\n", + "olive oil->heat0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "slice2->mix3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "clove garlic\n", + "\n", + "clove garlic\n", + "\n", + "\n", + "\n", + "clove garlic->chop0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "tomato\n", + "\n", + "tomato\n", + "\n", + "\n", + "\n", + "tomato->slice1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix4->brush0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mozzarella cheese\n", + "\n", + "mozzarella cheese\n", + "\n", + "\n", + "\n", + "mozzarella cheese->slice0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "place1\n", + "\n", + "place\n", + "\n", + "\n", + "\n", + "brown0->place1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "stuff\n", + "\n", + "stuff\n", + "\n", + "\n", + "\n", + "stuff->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "basil ketchup\n", + "\n", + "basil ketchup\n", + "\n", + "\n", + "\n", + "representation\n", + "\n", + "representation\n", + "\n", + "\n", + "\n", + "representation->mix3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "butter\n", + "\n", + "butter\n", + "\n", + "\n", + "\n", + "butter->melt0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "basil leaf\n", + "\n", + "basil leaf\n", + "\n", + "\n", + "\n", + "chop1\n", + "\n", + "chop\n", + "\n", + "\n", + "\n", + "basil leaf->chop1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "blend6->refrigerate9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "refrigerate0\n", + "\n", + "refrigerate\n", + "\n", + "\n", + "\n", + "place1->refrigerate0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "ground beef\n", + "\n", + "ground beef\n", + "\n", + "\n", + "\n", + "ground beef->mix3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "refrigerate0->mix4\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "arugula\n", + "\n", + "arugula\n", + "\n", + "\n", + "\n", + "arugula->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "pancetta\n", + "\n", + "pancetta\n", + "\n", + "\n", + "\n", + "burger bun\n", + "\n", + "burger bun\n", + "\n", + "\n", + "\n", + "burger bun->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "ketchup\n", + "\n", + "ketchup\n", + "\n", + "\n", + "\n", + "viewer\n", + "\n", + "viewer\n", + "\n", + "\n", + "\n", + "viewer->mix3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "chop1->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Sopaipillas (Fritters)\n", + "(188dde1672)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '3 cups flour'\n", + " * '2 teaspoons baking powder'\n", + " * '12 teaspoon salt'\n", + " * '2 tablespoons shortening'\n", + " * '1 cup warm water'\n", + " * 'oil , 1 1/2 inches deep for frying'\n", + " * 'honey'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Stir together flour , baking powder , and salt ; cut in shortening with a pastry blender until coarse crumbs form .\n", + " * Gradually work in the water to form a pastry-like dough .\n", + " * Turn onto a light floured board .\n", + " * Place a damp cloth over and allow to rest for 1 hour .\n", + " * In large , heavy frying pan , heat oil to 425F Divide dough in half \\( you will find it easier to handle this way \\) .\n", + " * Roll each ball of dough as thin as possible .\n", + " * Cut into 3-inch squares and fry in hot oil , pushing squares down into the oil several times so that they will puff evenly .\n", + " * Turn once to brown and cook until golden on both sides .\n", + " * Place on paper towels to drain .\n", + " * Serve warm with honey ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "warm1\n", + "\n", + "warm\n", + "\n", + "\n", + "\n", + "oil\n", + "\n", + "oil\n", + "\n", + "\n", + "\n", + "crumb\n", + "\n", + "crumb\n", + "\n", + "\n", + "\n", + "mix1\n", + "\n", + "mix\n", + "\n", + "\n", + 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"\n", + "roll\n", + "\n", + "roll\n", + "\n", + "\n", + "\n", + "roll->brown0\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Baked Tuna 'Crab' Cakes\n", + "(4cab4587f4)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '2 \\( 12 ounce \\) cans chunk light tuna in water , drained and flaked'\n", + " * '1 cup bread crumbs'\n", + " * '1 zucchini , shredded'\n", + " * '1/2 green bell pepper , chopped'\n", + " * '1/2 onion , finely chopped'\n", + " * '1/2 cup green onions , chopped'\n", + " * '2 cloves garlic , pressed or minced'\n", + " * '1 teaspoon finely chopped jalapeno pepper'\n", + " * '1/2 cup nonfat cottage cheese'\n", + " * '1/4 cup fat free sour cream'\n", + " * '2 eggs'\n", + " * '1 lime , juiced'\n", + " * '1 tablespoon dried basil'\n", + " * '1 teaspoon ground black pepper'\n", + " * 'salt to taste'\n", + " * '2 eggs'\n", + " * '1 cup yellow cornmeal'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Preheat oven to 350 degrees F \\( 175 degrees C \\) .\n", + " * Line a baking sheet with aluminum foil , and spray with cooking spray .\n", + " * In a large bowl , thoroughly mix the tuna , bread crumbs , zucchini , green pepper , onion , green onions , garlic , jalapeno pepper , cottage cheese , sour cream , 2 eggs , lime juice , dried basil , pepper , and salt .\n", + " * Beat 2 eggs in a shallow bowl , and place the cornmeal on a plate .\n", + " * Scoop up about 1/4 cup of the tuna mixture , and gently form it into a compact patty .\n", + " * Dip both sides of each cake into beaten egg and then press into cornmeal , and place the cakes onto the prepared baking sheet .\n", + " * Spray the tops of the cakes with cooking oil spray .\n", + " * Bake in the preheated oven until the tops of the cakes are beginning to brown , about 20 minutes .\n", + " * Flip each cake , spray with cooking spray , and bake until the cakes are cooked through and lightly browned , about 20 more minutes ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "green\n", + "\n", + "green\n", + "\n", + "\n", + "\n", + "mix1\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "green->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "salt\n", + "\n", + "salt\n", + "\n", + "\n", + "\n", + "mix0\n", + "\n", + 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"text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '8 tablespoons butter , at room temperature'\n", + " * '1/3 cup black olives , such as Kalamata , halved and pitted'\n", + " * '2 teaspoons anchovy paste'\n", + " * '1 tablespoon grated orange zest \\( from about 1 navel orange \\)'\n", + " * '2 teaspoons orange juice'\n", + " * '2 cloves garlic , minced'\n", + " * '1/4 teaspoon fresh-ground black pepper'\n", + " * '2 Cornish hens \\( about 1 1/4 pounds each \\) , halved'\n", + " * '2 tablespoons cooking oil'\n", + " * 'Boiled or steamed rice , for serving'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Light the grill .\n", + " * In a food processor , puree the butter and olives with the anchovy paste , orange zest , orange juice , garlic , and pepper .\n", + " * With a rubber spatula , scrape the butter into a small bowl and refrigerate .\n", + " * Rub the hens with oil and cook over moderate heat for 12 minutes .\n", + " * Turn and cook until just done , about 12 minutes longer .\n", + " * Remove the hens from the grill and serve with the rice .\n", + " * Top each serving with 2 tablespoons of the flavored butter , letting the butter melt over both the hen and the rice ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "hen\n", + "\n", + "hen\n", + "\n", + "\n", + "\n", + "mix1\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + 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"orange zest->grate0\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Easy Cherry Macaroon Parfaits\n", + "(28a303ef4b)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '1 \\( 5 1/8 ounce \\) box vanilla instant pudding mix'\n", + " * '3 cups cold milk'\n", + " * '1 \\( 21 ounce \\) cancomstock cherry pie filling'\n", + " * '14 teaspoon almond extract , if desired'\n", + " * '6 macaroons , crumbled'\n", + " * 'whipped topping , if desired'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Prepare pudding with milk as directed on package .\n", + " * Combine cherry filling and extract .\n", + " * Alternate layers of pudding , crumbled cookies , and filling in 6 parfait or dessert dishes .\n", + " * Garnish with topping .\n", + " * Makes 6 servings ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "vanilla\n", + "\n", + "vanilla\n", + "\n", + "\n", + "\n", + "mix0\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "vanilla->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "crumble\n", + "\n", + "crumble\n", + "\n", + "\n", + "\n", + "crumble->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "milk\n", + "\n", + "milk\n", + "\n", + "\n", + "\n", + "milk->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "topping\n", + "\n", + "topping\n", + "\n", + "\n", + "\n", + "whip0\n", + "\n", + "whip\n", + "\n", + "\n", + "\n", + "topping->whip0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "almond extract\n", + "\n", + "almond extract\n", + "\n", + "\n", + "\n", + "almond extract->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "pudding\n", + "\n", + "pudding\n", + "\n", + "\n", + "\n", + "pudding->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "garnish\n", + "\n", + "garnish\n", + "\n", + "\n", + "\n", + "mix1\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "garnish->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "whip0->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cancomstock cherry pie filling\n", + "\n", + "cancomstock cherry pie filling\n", + "\n", + "\n", + "\n", + "cancomstock cherry pie filling->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Creamy Kulfi (Indian Ice Cream)\n", + "(57c7456c57)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '2 \\( 12 ounce \\) cans evaporated milk \\( whole fat is best \\)'\n", + " * '1 \\( 14 ounce \\) can sweetened condensed milk'\n", + " * '2 cups heavy whipping cream'\n", + " * '3 tablespoons confectioners ' sugar'\n", + " * '1 teaspoon ground cardamom'\n", + " * '1 teaspoon rose water'\n", + " * '3 tablespoons pistachios , finely chopped'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Line 13 x 9 inch glass baking dish with plastic wrap , leaving 2 inches overhang all around .\n", + " * Place evaporated milk , condensed milk , cream , sugar , cardamom and rosewater in blender .\n", + " * Puree on low speed until combined , about 30 seconds .\n", + " * Pour into prepared baking dish .\n", + " * Cover with plastic wrap .\n", + " * Freeze for 6 hours or overnight .\n", + " * Remove from freezer five minutes before cutting .\n", + " * Unwrap dish .\n", + " * Using plastic overhang , lift kulfi out of pan and transfer to cutting board .\n", + " * Remove plastic wrap .\n", + " * Cut into 48 squares , cutting 6 by 8 .\n", + " * Transfer to mini muffin papers , if desired .\n", + " * Garnish with chopped pistachios .\n", + " * Serve immediately or store in freezer .\n", + " * I think a mini muffin pan , popsicle molds or other small silicone molds would work just as well , with or without popsicle sticks ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "sweeten0\n", + "\n", + "sweeten\n", + "\n", + "\n", + "\n", + "mix6\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "sweeten0->mix6\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix1\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "cut4\n", + "\n", + "cut\n", + "\n", + "\n", + "\n", + "muffin\n", + "\n", + "muffin\n", + "\n", + "\n", + "\n", + "muffin->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix2\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "mix2->cut4\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "confectioner\n", + "\n", + "confectioner\n", + "\n", + "\n", + "\n", + "dish\n", + "\n", + "dish\n", + "\n", + "\n", + "\n", + "dish->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix0\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "freeze3\n", + "\n", + "freeze\n", + "\n", + "\n", + "\n", + "freeze3->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "other\n", + "\n", + "other\n", + "\n", + "\n", + "\n", + "other->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "ground cardamom\n", + "\n", + "ground cardamom\n", + "\n", + "\n", + "\n", + "ground cardamom->mix6\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "sugar\n", + "\n", + "sugar\n", + "\n", + "\n", + "\n", + "sugar->mix6\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "whip0\n", + "\n", + "whip\n", + "\n", + "\n", + "\n", + "chop0\n", + "\n", + "chop\n", + "\n", + "\n", + "\n", + "chop0->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "place1\n", + "\n", + "place\n", + "\n", + "\n", + "\n", + "pour2\n", + "\n", + "pour\n", + "\n", + "\n", + "\n", + "place1->pour2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "pistachio\n", + "\n", + "pistachio\n", + "\n", + "\n", + "\n", + "pistachio->chop0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix6->place1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "pour2->freeze3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "water\n", + "\n", + "water\n", + "\n", + "\n", + "\n", + "water->mix6\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "milk\n", + "\n", + "milk\n", + "\n", + "\n", + "\n", + "milk->sweeten0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "heavy\n", + "\n", + "heavy\n", + "\n", + "\n", + "\n", + "heavy->whip0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "garnish\n", + "\n", + "garnish\n", + "\n", + "\n", + "\n", + "garnish->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Collard Greens in Tomato Sauce\n", + "(b4c229acfd)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '2 slices bacon'\n", + " * '2 onions , finely chopped'\n", + " * '2 cloves garlic , minced'\n", + " * '1 teaspoon salt'\n", + " * '12 teaspoon pepper'\n", + " * '1 \\( 15 1/2 ounce \\) can diced tomatoes , undrained'\n", + " * '2 lbs collard greens , rinsed , tough ribs and stems removed , torn into thin strips'\n", + " * 'hot pepper sauce \\( I use Tabasco \\) \\( optional \\)'\n", + " * 'red wine vinegar \\( optional \\)'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Cook bacon until crisp ; drain and crumble .\n", + " * In 1 tbsp of bacon drippings , cook onion until tender .\n", + " * Add garlic , salt , pepper , and diced tomatoes , stirring to mix .\n", + " * Place greens and tomato mixture in crockpot and mix well .\n", + " * Cover and cook on low for 6 hours or on high for 3 hours or until greens are tender .\n", + " * Serve greens with Tabasco or vinegar , if desired ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "crisp\n", + "\n", + "crisp\n", + "\n", + "\n", + "\n", + "mix1\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "crisp->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "bacon\n", + "\n", + "bacon\n", + "\n", + "\n", + "\n", + "slice0\n", + "\n", + "slice\n", + "\n", + "\n", + "\n", + "bacon->slice0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "salt\n", + "\n", + "salt\n", + "\n", + "\n", + "\n", + "mix0\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "salt->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cook3\n", + "\n", + "cook\n", + "\n", + "\n", + "\n", + "mix6\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "cook3->mix6\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "clove garlic\n", + "\n", + "clove garlic\n", + "\n", + "\n", + "\n", + "mince0\n", + "\n", + "mince\n", + "\n", + "\n", + "\n", + "clove garlic->mince0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "tomato\n", + "\n", + "tomato\n", + "\n", + "\n", + "\n", + "drain0\n", + "\n", + "drain\n", + "\n", + "\n", + "\n", + "drain0->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "red wine vinegar\n", + "\n", + "red wine vinegar\n", + "\n", + "\n", + "\n", + "red wine vinegar->mix6\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "slice0->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mince0->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "pepper\n", + "\n", + "pepper\n", + "\n", + "\n", + "\n", + "pepper->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "rinse0\n", + "\n", + "rinse\n", + "\n", + "\n", + "\n", + "place0\n", + "\n", + "place\n", + "\n", + "\n", + "\n", + "rinse0->place0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "onion\n", + "\n", + "onion\n", + "\n", + "\n", + "\n", + "chop0\n", + "\n", + "chop\n", + "\n", + "\n", + "\n", + "onion->chop0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "green tough rib\n", + "\n", + "green tough rib\n", + "\n", + "\n", + "\n", + "green tough rib->rinse0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cook0\n", + "\n", + "cook\n", + "\n", + "\n", + "\n", + "cook0->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "hot pepper sauce\n", + "\n", + "hot pepper sauce\n", + "\n", + "\n", + "\n", + "chop0->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix1->cook0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "crumble\n", + "\n", + "crumble\n", + "\n", + "\n", + "\n", + "crumble->drain0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "place0->cook3\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Baked Flounder a La Creole\n", + "(e9cda2e592)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '3 lbs flounder , cleaned and washed'\n", + " * '14 teaspoon salt'\n", + " * 'pepper , to taste'\n", + " * '1 large onion , peeled and chopped'\n", + " * '1 bay leaf'\n", + " * '2 sprigs fresh parsley'\n", + " * '1 sprig fresh thyme'\n", + " * '1 cup white wine \\( Chardonnay , Pinot Grigio , or Sauvignon Blanc are all very good \\)'\n", + " * '3 tablespoons butter'\n", + " * '2 tablespoons flour'\n", + " * '12 cup mushroom , chopped'\n", + " * '6 tomatoes , peeled and minced \\( canned is fine \\)'\n", + " * '12 cup cracker , crushed'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Season fish with salt and pepper .\n", + " * Distribute onion , bay leaf , parsley and thyme over the bottom of a baking pan .\n", + " * Place fish over the herbs and pour wine over all .\n", + " * Bake at 350F for 20 minutes .\n", + " * While the fish is baking , melt the butter and add flour ; when browned , add mushrooms and tomatoes .\n", + " * Simmer for ten minutes .\n", + " * Pour over the fish , cover with cracker crumbs ; dot with remaining butter and bake for an additional ten minutes .\n", + " * Garnish with parsley ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "thyme\n", + "\n", + "thyme\n", + "\n", + "\n", + "\n", + "mix1\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "thyme->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "peel0\n", + "\n", + "peel\n", + "\n", + "\n", + "\n", + "chop0\n", + "\n", + "chop\n", + "\n", + "\n", + "\n", + "peel0->chop0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "bake2\n", + "\n", + "bake\n", + "\n", + "\n", + "\n", + "simmer2\n", + "\n", + "simmer\n", + "\n", + "\n", + "\n", + "bake2->simmer2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "pour1\n", + "\n", + "pour\n", + "\n", + "\n", + "\n", + "mix9\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "pour1->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "peel1\n", + "\n", + "peel\n", + "\n", + "\n", + "\n", + "mix0\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "peel1->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "bake9\n", + "\n", + "bake\n", + "\n", + "\n", + "\n", + "bake9->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "chop1\n", + "\n", + "chop\n", + "\n", + "\n", + "\n", + "brown0\n", + "\n", + "brown\n", + "\n", + "\n", + "\n", + "chop1->brown0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "melt0\n", + "\n", + "melt\n", + "\n", + "\n", + "\n", + "mix2\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "melt0->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "herb\n", + "\n", + "herb\n", + "\n", + "\n", + "\n", + "place1\n", + "\n", + "place\n", + "\n", + "\n", + "\n", + "herb->place1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "brown0->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "wash0\n", + "\n", + "wash\n", + "\n", + "\n", + "\n", + "leaf\n", + "\n", + "leaf\n", + "\n", + "\n", + "\n", + "leaf->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "tomato\n", + "\n", + "tomato\n", + "\n", + "\n", + "\n", + "mince0\n", + "\n", + "mince\n", + "\n", + "\n", + "\n", + "tomato->mince0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "simmer1\n", + "\n", + "simmer\n", + "\n", + "\n", + "\n", + "simmer1->pour1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "tablespoon butter\n", + "\n", + "tablespoon butter\n", + "\n", + "\n", + "\n", + "tablespoon butter->melt0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "simmer9\n", + "\n", + "simmer\n", + "\n", + "\n", + "\n", + "mix0->simmer9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "place1->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "simmer9->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "salt\n", + "\n", + "salt\n", + "\n", + "\n", + "\n", + "mix4\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "salt->mix4\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mushroom\n", + "\n", + "mushroom\n", + "\n", + "\n", + "\n", + "mushroom->chop1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "bake1\n", + "\n", + "bake\n", + "\n", + "\n", + "\n", + "place0\n", + "\n", + "place\n", + "\n", + "\n", + "\n", + "bake1->place0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cracker\n", + "\n", + "cracker\n", + "\n", + "\n", + "\n", + "cracker->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix4->bake1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "flounder\n", + "\n", + "flounder\n", + "\n", + "\n", + "\n", + "flounder->wash0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "place0->simmer1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix1->bake2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "fish\n", + "\n", + "fish\n", + "\n", + "\n", + "\n", + "fish->mix4\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "simmer2->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "pour0\n", + "\n", + "pour\n", + "\n", + "\n", + "\n", + "pour0->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "garnish\n", + "\n", + "garnish\n", + "\n", + "\n", + "\n", + "garnish->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "chop0->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix2->bake9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "flour\n", + "\n", + "flour\n", + "\n", + "\n", + "\n", + "flour->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "pepper\n", + "\n", + "pepper\n", + "\n", + "\n", + "\n", + "pepper->mix4\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "wine\n", + "\n", + "wine\n", + "\n", + "\n", + "\n", + "wine->pour0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "onion\n", + "\n", + "onion\n", + "\n", + "\n", + "\n", + "onion->peel0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "parsley\n", + "\n", + "parsley\n", + "\n", + "\n", + "\n", + "parsley->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mince0->peel1\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Garlicky Vaud Fondue\n", + "(0518569c37)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '1 head garlic , small head'\n", + " * '1 tablespoon olive oil'\n", + " * '1 12 cups dry white wine'\n", + " * '2 lemons , juice of'\n", + " * '1 lb gruyere cheese , shredded'\n", + " * '12 lb emmenthaler cheese , shredded'\n", + " * '12 teaspoon black pepper'\n", + " * '2 teaspoons cornstarch'\n", + " * '1 tablespoon brandy'\n", + " * '1 baguette , sliced into 1/2-inch slices'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Remove outer skin from garlic , but leave head intact .\n", + " * Rub with olive oil and wrap in heavy foil .\n", + " * Bake at 350 degrees for 1 hour .\n", + " * Allow to cool , then separate cloves and squeeze garlic into small bowl .\n", + " * Heat wine and lemon juice in a saucepan until hot , but not boiling .\n", + " * Add shredded cheeses to wine and lemon juice in saucepan in 4 batches , stirring in a figure-eight motion , until each addition is melted .\n", + " * Add roasted garlic to cheese and mix until well-blended .\n", + " * Season with black pepper and salt , to taste .\n", + " * Heat fondue until bubbly .\n", + " * Dissolve cornstarch into brandy and stir into fondue.Simmer for 2 minutes , then pour fondue into fondue pot and place over heating source .\n", + " * Serve with sliced baguette and/or sausages and your favorite fondue vegetables ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "heat9\n", + "\n", + "heat\n", + "\n", + "\n", + "\n", + "squeeze0\n", + "\n", + "squeeze\n", + "\n", + "\n", + "\n", + "heat9->squeeze0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cheese\n", + "\n", + "cheese\n", + "\n", + "\n", + "\n", + "mix7\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "cheese->mix7\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "heat1\n", + "\n", + "heat\n", + "\n", + "\n", 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"output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '2 teaspoons oil'\n", + " * '1 onion , chopped'\n", + " * '4 garlic cloves , pressed or finely chopped'\n", + " * '1 -1 12 lb ground chuck or 1 -1 12 lb ground beef'\n", + " * '1 teaspoon salt'\n", + " * '1 -2 teaspoon chili powder'\n", + " * '1 tablespoon taco seasoning'\n", + " * '6 tablespoons onion soup mix'\n", + " * '6 cups water'\n", + " * '28 ounces diced tomatoes'\n", + " * '1 teaspoon sugar'\n", + " * '1 tablespoon italian seasoning'\n", + " * '1 teaspoon dried thyme'\n", + " * '12 cup pearl barley'\n", + " * '3 -4 russet potatoes , scrubbed and grated'\n", + " * '3 celery ribs , chopped'\n", + " * '3 -4 carrots , scrubbed and grated'\n", + " * '3 \\( 10 1/2 ounce \\) cans tomato soup'\n", + " * '1 12 cups grated cheese'\n", + " * 'taco chips'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * In a 6 quart heavy bottomed pot , fry onion and salt until soft , add garlic and fry 30 seconds .\n", + " * Add meat and sprinkle with salt chili powder and taco seasoning .\n", + " * Fry only til faintly pink .\n", + " * Add onion soup mix , water , tomatoes , sugar , italian seasoning thyme and barley .\n", + " * Add potatoes , celery , carrots .\n", + " * Simmer 40 minutes .\n", + " * Add tomato soup and cheese , stir to blend .\n", + " * Adjust seasonings with salt and pepper to taste .\n", + " * Serve with taco chips instead of crackers .\n", + " * My kids will crush them and add the chips to the soup .\n", + " * This could easily be made into a spicy version with hot pepper flakes or cayenne added to the frying meat mixture .\n", + " * Sometimes I also will add kernel corn at the end , either frozen or canned ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "mix14\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "fry1\n", + "\n", + "fry\n", + "\n", + "\n", + "\n", + "mix14->fry1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "chop0\n", + "\n", + "chop\n", + "\n", + "\n", + "\n", + "mix0\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "chop0->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "simmer6\n", + "\n", + "simmer\n", + "\n", + "\n", + "\n", + "simmer6->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix1\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "grate1\n", + "\n", + "grate\n", + "\n", + "\n", + "\n", + "mix1->grate1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "fry5\n", + "\n", + "fry\n", + 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"output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## (Almost) Sugar-Free Peanut Butter Cream Pie\n", + "(e9a92d6056)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '8 ounces fat free cream cheese , softened'\n", + " * '23 cup creamy peanut butter'\n", + " * '23 cup Splenda granular'\n", + " * '8 ounces sugar-free frozen whipped topping , thawed'\n", + " * '3 -4 sugar-free miniature peanut butter cups , for garnish \\( optional \\)'\n", + " * '1 graham cracker pie crust'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * In mixing bowl , cream together the cream cheese and peanut butter with an electric mixer .\n", + " * Add Splenda and mix until completely combined .\n", + " * Fold in the whipped topping .\n", + " * Pour filling into crust .\n", + " * Chop the peanut butter cups , if using , and sprinkle over the top of the pie .\n", + " * Refrigerate at least 4 hours ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "whip0\n", + "\n", + "whip\n", + "\n", + "\n", + "\n", + "thaw0\n", + "\n", + "thaw\n", + "\n", + "\n", + "\n", + "whip0->thaw0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "splenda\n", + "\n", + "splenda\n", + "\n", + "\n", + "\n", + "mix1\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "splenda->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix0\n", + "\n", + "mix\n", + "\n", + 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'2 tablespoons vinegar'\n", + " * '1 \\( 3 1/2 lb \\) broiler chickens \\( any whole chicken will do \\)'\n", + " * '4 stalks celery'\n", + " * '4 potatoes , peeled and quartered'\n", + " * '1 small onion , sliced'\n", + " * 'to taste carrot \\( optional \\)'\n", + " * 'salt and pepper'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Place the vinegar in the bottom of a deep ovenproof casserole dish or Dutch oven with a cover .\n", + " * Add chicken and surround with vegetables .\n", + " * Add seasonings to taste .\n", + " * Cover tightly and roast at 350\\* for 1 hour .\n", + " * The meat will be moist and juicy without having a strong vinegar taste .\n", + " * I learned to not go by the cooking time of this recipe .\n", + " * It is best to go by the estimated time on the chicken wrapper for the weight of the chicken .\n", + " * I could never find a 3 1/2-pound chicken , only larger ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "slice0\n", + "\n", + "slice\n", + "\n", + "\n", + "\n", + "place0\n", + "\n", + "place\n", + "\n", + "\n", + "\n", + "mix0\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "place0->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "broiler chicken\n", + "\n", + "broiler chicken\n", + "\n", + "\n", + "\n", + "broiler chicken->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "peel0\n", + "\n", + "peel\n", + "\n", + "\n", + "\n", + "vinegar\n", + "\n", + "vinegar\n", + "\n", + "\n", + "\n", + "vinegar->place0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "salt\n", + "\n", + "salt\n", + "\n", + "\n", + "\n", + "onion\n", + "\n", + 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+ "text/markdown": [ + "## Mint Chocolate-Chip Meringues\n", + "(3ef60af903)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '1/2 cup egg whites \\( from about 4 eggs \\)'\n", + " * '2/3 cup sugar'\n", + " * '1/2 teaspoon mint extract or mint flavoring \\( not mint oil \\)'\n", + " * '2 ounces unsweetened chocolate , finely chopped or grated'\n", + " * '2 ounces semisweet chocolate'\n", + " * 'Additional equipment : A pastry bag fitted with a large plain or star tip , 2 cookie sheets , well greased , or lined with parchment paper , or lined with nonstick baking mats , or 2 nonstick cookies sheets .'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Heat oven to 325 degrees F .\n", + " * Heat the egg whites and sugar in the top of a double boiler set over barely simmering water until warm to the touch \\( this will help you get more air into the whites when you whip them \\) .\n", + " * Transfer to a mixer fitted with a whisk attachment and whip until soft peaks form .\n", + " * Add the mint extract and continue whipping just until stiff and glossy .\n", + " * Fold in the chopped unsweetened chocolate .\n", + " * Scrape the mixture into a pastry bag .\n", + " * Pipe bite-size kisses onto the cookie sheets and bake until the meringues are the color of milky coffee , 25 to 30 minutes .\n", + " * To test , remove one meringue from the oven , let cool one minute , then taste .\n", + " * It should be dry and crisp all the way through .\n", + " * Let cool on the pans .\n", + " * Melt the semisweet chocolate .\n", + " * Dipping the tines of a fork into the chocolate , drizzle the meringues with melted chocolate .\n", + " * Let sit until chocolate is set , 30 minutes to an hour \\( or let set in the refrigerator for 15 minutes \\) .\n", + " * Store in an airtight container for up to 3 days ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "pan\n", + "\n", + "pan\n", + "\n", + "\n", + "\n", + "cool0\n", + "\n", + "cool\n", + "\n", + "\n", + "\n", + "pan->cool0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "bake0\n", + "\n", + "bake\n", + "\n", + "\n", + "\n", + "pastry\n", + "\n", + "pastry\n", + "\n", + "\n", + "\n", + "pastry->bake0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "heat1\n", + "\n", + "heat\n", + "\n", + "\n", + "\n", + "mix2\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "heat1->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "meringue\n", + "\n", + "meringue\n", + "\n", + "\n", + "\n", + "bake1\n", + "\n", + "bake\n", + "\n", + "\n", + "\n", + "meringue->bake1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "water\n", + "\n", + "water\n", + "\n", + "\n", + "\n", + "water->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "coffee\n", + "\n", + "coffee\n", + "\n", + "\n", + "\n", + "mix3\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "coffee->mix3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "sugar\n", + "\n", + "sugar\n", + "\n", + "\n", + "\n", + "mix4\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "sugar->mix4\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix4->heat1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "chocolate\n", + "\n", + "chocolate\n", + "\n", + "\n", + "\n", + "mix1\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "crisp\n", + "\n", + "crisp\n", + "\n", + "\n", + "\n", + "whisk2\n", + "\n", + "whisk\n", + "\n", + "\n", + "\n", + "mix2->whisk2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "bake1->mix3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "whip0\n", + "\n", + "whip\n", + "\n", + "\n", + "\n", + "whip0->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "egg\n", + "\n", + "egg\n", + "\n", + "\n", + "\n", + "egg->mix4\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mint flavoring mint oil\n", + "\n", + "mint flavoring mint oil\n", + "\n", + "\n", + "\n", + "mint flavoring mint oil->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "whisk2->whip0\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Peach A Lingo Chicken Recipe\n", + "(6f088c4b89)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '5 lbs . chicken \\( use legs , breasts or possibly whatever you like \\)'\n", + " * '1 jar peach preserves \\( 18 ounce . \\)'\n", + " * '8 ounce . Red Russian dressing'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Skin chicken , season to taste .\n", + " * Arrange chicken in pan .\n", + " * Mix together peach preserves and dressing .\n", + " * Pour over chicken .\n", + " * Bake 350 degrees for 1 hour and 10 min .\n", + " * Turn chicken halfway .\n", + " * Serves 8-10 ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "min\n", + "\n", + "min\n", + "\n", + "\n", + "\n", + "bake0\n", + "\n", + "bake\n", + "\n", + "\n", + "\n", + "min->bake0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "pour0\n", + "\n", + "pour\n", + "\n", + "\n", + "\n", + "mix1\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "mix1->pour0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "peach preserve\n", + "\n", + "peach preserve\n", + "\n", + "\n", + "\n", + "peach preserve->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "dressing\n", + "\n", + "dressing\n", + "\n", + "\n", + "\n", + "dressing->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "red\n", + "\n", + "red\n", + "\n", + "\n", + "\n", + "chicken\n", + "\n", + "chicken\n", + "\n", + "\n", + "\n", + "chicken->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Carrie's Beautiful Bread (ABM)\n", + "(75810b28f6)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '2 teaspoons salt'\n", + " * '14 cup sugar'\n", + " * '2 tablespoons dry milk'\n", + " * '3 14 cups all-purpose flour'\n", + " * '12 cup wheat flour'\n", + " * '1 13 cups warm water'\n", + " * '2 tablespoons extra virgin olive oil'\n", + " * '1 teaspoon lemon juice'\n", + " * '1 package active dry yeast \\( I use Red Star \\)'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Measure ingredients into your ABM in the order your manufacturere recommends .\n", + " * Set on light or medium setting to your preference .\n", + " * You can also make just dough with your ABM and bake in your oven or freeze the dough after the first rise in any shape you like .\n", + " * Bake in a conventional oven at 350 degrees for 25-35 minutes ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "mix1\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "bake1\n", + "\n", + "bake\n", + "\n", + "\n", + "\n", + "mix1->bake1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "yeast\n", + "\n", + "yeast\n", + "\n", + "\n", + "\n", + "lemon juice\n", + "\n", + "lemon juice\n", + "\n", + "\n", + "\n", + "dough\n", + "\n", + "dough\n", + "\n", + "\n", + "\n", + "freeze0\n", + "\n", + "freeze\n", + "\n", + "\n", + "\n", + "dough->freeze0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "sugar\n", + "\n", + "sugar\n", + "\n", + "\n", + "\n", + "any\n", + "\n", + "any\n", + "\n", + "\n", + "\n", + "any->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "flour\n", + "\n", + "flour\n", + "\n", + "\n", + "\n", + "wheat flour\n", + "\n", + "wheat flour\n", + "\n", + "\n", + "\n", + "freeze0->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "olive oil\n", + "\n", + "olive oil\n", + "\n", + "\n", + "\n", + "milk\n", + "\n", + "milk\n", + "\n", + "\n", + "\n", + "water\n", + "\n", + "water\n", + "\n", + "\n", + "\n", + "warm0\n", + "\n", + "warm\n", + "\n", + "\n", + "\n", + "water->warm0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "salt\n", + "\n", + "salt\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Cheeseburger Pizza\n", + "(634ed9f719)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '1 pizza crust'\n", + " * '2 tablespoons sesame seeds'\n", + " * 'seasoning salt , to taste'\n", + " * '1 \\( 10 3/4 ounce \\) can condensed tomato soup'\n", + " * '2 cups shredded cheddar cheese , divided'\n", + " * '2 teaspoons dry mustard'\n", + " * '1 teaspoon Worcestershire sauce'\n", + " * '12 lb lean ground beef'\n", + " * '12 teaspoon seasoning salt'\n", + " * '1 cup diced raw tomato'\n", + " * '1 cup chopped raw onion , divided'\n", + " * '12 cup chopped dill pickle'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Prepare the crust .\n", + " * If using raw dough , spread crust on pan and bake at 400 degrees for 10 minutes , then take it out .\n", + " * Or use a pre-packaged crust .\n", + " * Cook hamburger with 1/2 cup onions and 1/2 tsp seasoned salt until crumbled and cooked through .\n", + " * Combine tomato soup , 1 cup shredded cheese , dry mustard , and worchestershire sauce in sauce pan .\n", + " * Cook on low heat until cheese is melted and mixture is smooth .\n", + " * Sprinkle entire crust , including edges with seasoned salt to taste .\n", + " * Sprinkle sesame seeds on edges of crust .\n", + " * Spread sauce evenly on crust .\n", + " * Top with crumbled hamburger , 1 cup sherdded cheese , pickles and onions .\n", + " * Bake at 400 degrees for 10 more minutes or until cooked to your liking .\n", + " * Add raw tomatoes to topping just before serving ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "cook1\n", + "\n", + "cook\n", + "\n", + "\n", + "\n", + "heat0\n", + "\n", + "heat\n", + "\n", + "\n", + "\n", + "cook1->heat0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix2\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "bake0\n", + "\n", + "bake\n", + "\n", + "\n", + "\n", + "mix2->bake0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cheese\n", + "\n", + "cheese\n", + "\n", + "\n", + "\n", + "cheese->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "sesame seed\n", + "\n", + "sesame seed\n", + "\n", + "\n", + "\n", + "mix5\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "sesame seed->mix5\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix4\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "cook7\n", + "\n", + "cook\n", + "\n", + "\n", + "\n", + "mix4->cook7\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "bake7\n", + "\n", + "bake\n", + "\n", + "\n", + "\n", + "cook0\n", + "\n", + "cook\n", + "\n", + "\n", + "\n", + "bake7->cook0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "top\n", + "\n", + "top\n", + "\n", + "\n", + "\n", + "mix9\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "top->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "chop0\n", + "\n", + "chop\n", + "\n", + "\n", + "\n", + "chop0->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix3\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "mix3->chop0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "crust\n", + "\n", + "crust\n", + "\n", + "\n", + "\n", + "spread0\n", + "\n", + "spread\n", + "\n", + "\n", + "\n", + "crust->spread0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "spread1\n", + "\n", + "spread\n", + "\n", + "\n", + "\n", + "heat0->spread1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "sauce\n", + "\n", + "sauce\n", + "\n", + "\n", + "\n", + "sauce->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mustard\n", + "\n", + "mustard\n", + "\n", + "\n", + "\n", + "mustard->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "dough\n", + "\n", + "dough\n", + "\n", + "\n", + "\n", + "dough->mix5\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "spread0->mix5\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "tomato soup\n", + "\n", + "tomato soup\n", + "\n", + "\n", + "\n", + "tomato soup->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix5->bake7\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "onion\n", + "\n", + "onion\n", + "\n", + "\n", + "\n", + "onion->mix3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "dill pickle\n", + "\n", + "dill pickle\n", + "\n", + "\n", + "\n", + "dill pickle->mix3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "tomato\n", + "\n", + "tomato\n", + "\n", + "\n", + "\n", + "dice0\n", + "\n", + "dice\n", + "\n", + "\n", + "\n", + "tomato->dice0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "seasoning salt\n", + "\n", + "seasoning salt\n", + "\n", + "\n", + "\n", + "bake0->cook1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "ground beef\n", + "\n", + "ground beef\n", + "\n", + "\n", + "\n", + "bake10\n", + "\n", + "bake\n", + "\n", + "\n", + "\n", + "bake10->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cook7->bake10\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "hamburger\n", + "\n", + "hamburger\n", + "\n", + "\n", + "\n", + "hamburger->mix4\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "spread1->mix4\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "season salt\n", + "\n", + "season salt\n", + "\n", + "\n", + "\n", + "season salt->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cook0->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Everything Soup\n", + "(3c0fd08f9c)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '2 \\( 15 ounce \\) cans Swanson chicken broth'\n", + " * '1 \\( 15 ounce \\) canswanson beef broth'\n", + " * '2 \\( 15 ounce \\) cans kidney beans'\n", + " * '12 ounces stewed tomatoes , with juice'\n", + " * 'oregano'\n", + " * 'coriander'\n", + " * 'thyme'\n", + " * 'red pepper flakes'\n", + " * 'brown sugar'\n", + " * 'garlic pepper seasoning'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Using a large saucepan , add all ingeredients and bring to a boil ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "coriander\n", + "\n", + "coriander\n", + "\n", + "\n", + "\n", + "brown0\n", + "\n", + "brown\n", + "\n", + "\n", + "\n", + "beef broth\n", + "\n", + "beef broth\n", + "\n", + "\n", + "\n", + "sugar\n", + "\n", + "sugar\n", + "\n", + "\n", + "\n", + "sugar->brown0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "stew tomato\n", + "\n", + "stew tomato\n", + "\n", + "\n", + "\n", + "oregano\n", + "\n", + "oregano\n", + "\n", + "\n", + "\n", + "red pepper\n", + "\n", + "red pepper\n", + "\n", + "\n", + "\n", + "garlic pepper seasoning\n", + "\n", + "garlic pepper seasoning\n", + "\n", + "\n", + "\n", + "chicken broth\n", + "\n", + "chicken broth\n", + "\n", + "\n", + "\n", + "kidney bean\n", + "\n", + "kidney bean\n", + "\n", + "\n", + "\n", + "thyme\n", + "\n", + "thyme\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Zucchini Soup With Pumpernickel and Quark Toasts\n", + "(03ae3bfce9)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '2 ounces butter'\n", + " * '1 onion , chopped'\n", + " * '1 garlic clove , crushed'\n", + " * '3 large zucchini , trimmed and chopped'\n", + " * '1 cup fresh spinach leaves , roughly chopped \\( optional \\)'\n", + " * '5 cups chicken broth or 5 cups vegetable broth'\n", + " * '6 ounces Quark \\( available from specialty stores , substitute whipped cream cheese if necessary \\)'\n", + " * '3 slices pumpernickel bread'\n", + " * 'fresh lemon juice'\n", + " * '2 -3 tablespoons chopped mixed fresh herbs'\n", + " * 'sea salt & freshly ground black pepper'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Melt the butter in a large saucepan and saute the onion , garlic and zucchini gently for about 10 minutes , stirring once or twice .\n", + " * Do not let them brown .\n", + " * Add the spinach and cook until wilted then pour in the broth .\n", + " * Bring to the boil , season to taste then stir in and simmer , partially covered , for about 10 to 15 minutes .\n", + " * Strain the vegetables and reserve the liquid .\n", + " * Pass the vegetables through a food processor or blender , gradually adding back the liquid and adding 2 tablespoons of the quark .\n", + " * Return the soup to the pan and set aside .\n", + " * Either cut the pumpernickel into small rounds using a cookie cutter or leave whole .\n", + " * Toast under a hot grill for 1 to 2 minutes until just crisp .\n", + " * Remove , cut into quarters if not already cut into rounds , and allow to cool .\n", + " * Whisk the herbs and some seasoning into the rest of the quark .\n", + " * When ready to serve , spread the quark on the pumpernickel toasts .\n", + " * Bring the soup to the boil and check the seasoning , adding a little lemon juice if you think it needs it .\n", + " * Divide the soup between warmed bowls and top or serve with the pumpernickel toasts ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "black pepper\n", + "\n", + "black pepper\n", + "\n", + "\n", + "\n", + "boil5\n", + "\n", + "boil\n", + "\n", + "\n", + "\n", + "simmer1\n", + "\n", + "simmer\n", + "\n", + "\n", + "\n", + "boil5->simmer1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "pour0\n", + "\n", + "pour\n", + "\n", + "\n", + "\n", + "cook0\n", + "\n", + "cook\n", + "\n", + "\n", + "\n", + "pour0->cook0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "soup\n", + "\n", + "soup\n", + "\n", + "\n", + "\n", + "mix9\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "soup->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "boil4\n", + "\n", + "boil\n", + "\n", + "\n", + "\n", + "boil4->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "spinach leave\n", + "\n", + "spinach leave\n", + "\n", + "\n", + "\n", + "chop2\n", + "\n", + "chop\n", + "\n", + "\n", + "\n", + "spinach leave->chop2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "grill0\n", + "\n", + "grill\n", + "\n", + "\n", + "\n", + "mix10\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "grill0->mix10\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "garlic clove\n", + "\n", + "garlic clove\n", + "\n", + "\n", + "\n", + "mix4\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "garlic clove->mix4\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "crisp\n", + "\n", + "crisp\n", + "\n", + "\n", + "\n", + "crisp->grill0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "butter\n", + "\n", + "butter\n", + "\n", + "\n", + "\n", + "melt0\n", + "\n", + "melt\n", + "\n", + "\n", + "\n", + "butter->melt0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix1\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "mix1->boil5\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cut1\n", + "\n", + "cut\n", + "\n", + "\n", + "\n", + "cut1->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cream cheese\n", + "\n", + "cream cheese\n", + "\n", + "\n", + "\n", + "whip0\n", + "\n", + "whip\n", + "\n", + "\n", + "\n", + "cream cheese->whip0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "pumpernickel bread\n", + "\n", + "pumpernickel bread\n", + "\n", + "\n", + "\n", + "slice0\n", + "\n", + "slice\n", + "\n", + "\n", + "\n", + "pumpernickel bread->slice0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "broth vegetable broth\n", + "\n", + "broth vegetable broth\n", + "\n", + "\n", + "\n", + "broth vegetable broth->pour0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "warm0\n", + "\n", + "warm\n", + "\n", + "\n", + "\n", + "warm0->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "herb\n", + "\n", + "herb\n", + "\n", + "\n", + "\n", + "chop3\n", + "\n", + "chop\n", + "\n", + "\n", + "\n", + "herb->chop3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "whisk0\n", + "\n", + "whisk\n", + "\n", + "\n", + "\n", + "whisk0->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "toast\n", + "\n", + "toast\n", + "\n", + "\n", + "\n", + "toast->mix10\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "hot\n", + "\n", + "hot\n", + "\n", + "\n", + "\n", + "hot->mix10\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "brown1\n", + "\n", + "brown\n", + "\n", + "\n", + "\n", + "brown1->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "seasoning\n", + "\n", + "seasoning\n", + "\n", + "\n", + "\n", + "whisk1\n", + "\n", + "whisk\n", + "\n", + "\n", + "\n", + "seasoning->whisk1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "saute2\n", + "\n", + "saute\n", + "\n", + "\n", + "\n", + "mix3\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "saute2->mix3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "lemon juice\n", + "\n", + "lemon juice\n", + "\n", + "\n", + "\n", + "lemon juice->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "chop0\n", + "\n", + "chop\n", + "\n", + "\n", + "\n", + "chop0->mix4\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix2\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "simmer1->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "melt0->mix3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "spread0\n", + "\n", + "spread\n", + "\n", + "\n", + "\n", + "spread0->warm0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix4->saute2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "chop2->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cut0\n", + "\n", + "cut\n", + "\n", + "\n", + "\n", + "slice0->cut0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix3->brown1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cook0->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "chop3->whisk0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "whisk1->boil4\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "round\n", + "\n", + "round\n", + "\n", + "\n", + "\n", + "round->cut1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix5\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "mix5->chop0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "zucchini\n", + "\n", + "zucchini\n", + "\n", + "\n", + "\n", + "zucchini->mix5\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cut0->spread0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "onion\n", + "\n", + "onion\n", + "\n", + "\n", + "\n", + "onion->mix5\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "liquid\n", + "\n", + "liquid\n", + "\n", + "\n", + "\n", + "liquid->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Caesar Vinaigrette\n", + "(27b86a0c47)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '2 tablespoons finely grated Parmesan cheese'\n", + " * '1 tablespoon fresh lemon juice'\n", + " * '1/2 teaspoon anchovy paste'\n", + " * '1/4 teaspoon freshly ground black pepper'\n", + " * '1/4 teaspoon Worcestershire sauce'\n", + " * '1 large pasteurized egg yolk'\n", + " * '1 garlic clove , minced'\n", + " * '2 tablespoons extra-virgin olive oil'\n", + " * 'Romaine lettuce'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Combine Parmesan cheese , lemon juice , anchovy paste , pepper , Worcestershire sauce , egg yolk , and minced garlic in a mini food processor ; process 15 seconds .\n", + " * With the processor on , gradually add olive oil , processing until combined .\n", + " * Toss with romaine lettuce ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "lettuce\n", + "\n", + "lettuce\n", + "\n", + "\n", + "\n", + "sauce\n", + "\n", + "sauce\n", + "\n", + "\n", + "\n", + "mix2\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "sauce->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "anchovy\n", + "\n", + "anchovy\n", + "\n", + "\n", + "\n", + "anchovy->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "grate0\n", + "\n", + "grate\n", + "\n", + "\n", + "\n", + "grate0->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cheese\n", + "\n", + "cheese\n", + "\n", + "\n", + "\n", + "cheese->grate0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "egg yolk\n", + "\n", + "egg yolk\n", + "\n", + "\n", + "\n", + "egg yolk->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "lemon juice\n", + "\n", + "lemon juice\n", + "\n", + "\n", + "\n", + "lemon juice->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "processing\n", + "\n", + "processing\n", + "\n", + "\n", + "\n", + "processing->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "black pepper\n", + "\n", + "black pepper\n", + "\n", + "\n", + "\n", + "black pepper->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "extra-virgin olive oil\n", + "\n", + "extra-virgin olive oil\n", + "\n", + "\n", + "\n", + "extra-virgin olive oil->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "garlic clove\n", + "\n", + "garlic clove\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Cameron's \"No Messing About\" Salsa Recipe\n", + "(11506966f5)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '1 can Whole tomatoes \\( 3 '' dia , 5 '' tall - approx \\)'\n", + " * '1 x - \\( up to \\)'\n", + " * '6 x Cloves garlic'\n", + " * '1 x Lime'\n", + " * '1/2 lrg Onion \\( 3 '' to 4 '' dia . \\)'\n", + " * '1 bn cilantro \\( washed , and stems screwed off \\)'\n", + " * '1 tsp \\( heaped \\) good red paprika pwdr Chile to taste \\( see note below \\)'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Drain juice from tomatoes into blender .\n", + " * Squeeze in the lime juice , add in garlic , chile .\n", + " * Blend on high until lumps have gone .\n", + " * Take pitcher off blender .\n", + " * Chop the onion roughly and drop it in with the tomatoes , cilantro , paprika and some salt if you 're not too paranoid .\n", + " * With a long bladed knife do a bit of stabbing and slashing to break up the components so which they circulate when you run the motor .\n", + " * Blend on LOW speed till it is mixed but still quite coarse .\n", + " * Flavor improves after a day or possibly two in the fridge .\n", + " * Note on chile : You can use anything for a bit of heat , but the best flavor is found in small green fresh chiles of the `` serrano '' type .\n", + " * \\( Try 2 or possibly 3 \\) .\n", + " * You might also experiment with the yellow/orange `` habaneros '' that have a good flavor but are extremely warm .\n", + " * If desperate powdered chile , chile oil , small can of jalapenos or possibly warm sauce will work - use plenty !\n", + " * !" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "wash0\n", + "\n", + "wash\n", + "\n", + "\n", + "\n", + "mix7\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + 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"metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '8 whole Egg Yolks'\n", + " * '2 cups Sugar'\n", + " * '1/2 cups Cornstarch'\n", + " * '1/2 teaspoons Salt'\n", + " * '2 cups Cold Water'\n", + " * '2 Tablespoons Lemon Zest'\n", + " * '23 cups Fresh Lemon Juice'\n", + " * '4 Tablespoons Butter'\n", + " * '2 teaspoons Vanilla'\n", + " * '1 whole Prebaked Pie Crust \\( store Bought Or Your Favorite Recipe \\)'\n", + " * '8 ounces , weight Cream Cheese'\n", + " * '1/4 cups Powdered Sugar'\n", + " * '2 cups Sweetened Whipped Cream Or Whipped Topping'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Separate the egg yolks and whites , doing so one at a time .\n", + " * Place the whites into a small bowl \\( to make sure you dont get any shell in the bowl \\) and put the egg yolks in a medium bowl .\n", + " * Lightly beat the yolks and set aside .\n", + " * Keep the egg whites for another use .\n", + " * In a saucepan over medium heat combine the sugar , cornstarch , and salt and whisk to combine .\n", + " * Gradually whisk in the cold water and bring to a boil , cook for one minute , then remove pan from heat .\n", + " * Add about one cup of the hot mixture to the egg yolks in order to temper them and whisk until combined .\n", + " * Add the tempered egg yolks back into the pan with the remaining hot mixture .\n", + " * Return to medium heat , bring to a low boil and boil for about 1 minute , whisking constantly until thickened .\n", + " * Add the lemon zest , juice , butter , and vanilla to the pan and whisk to combine .\n", + " * Cook for 1 to 2 minutes until the butter is melted and everything is combined and thickened .\n", + " * Remove from heat .\n", + " * Set aside about 3/4 cup of the lemon filling .\n", + " * I always use the liquid measuring cup that held the lemon juice .\n", + " * Pour the remaining lemon filling into the pre-baked pie crust and chill for about 30 minutes .\n", + " * In the bowl of an electric mixer , combine the cream cheese , reserved lemon filling , and powdered sugar .\n", + " * Beat on medium speed until combined .\n", + " * Spread the cream cheese mixture over the cooled lemon filling .\n", + " * Top the pie with the sweetened whipped cream or whipped topping .\n", + " * Chill for at least one hour before serving .\n", + " * Garnish with fresh lemon , if desired .\n", + " * Adapted from Southern Lady ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "whisk0\n", + "\n", + "whisk\n", + "\n", + "\n", + "\n", + "heat6\n", + "\n", + "heat\n", + "\n", + "\n", + "\n", + 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+ "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Grilled Chicken with Roasted Tomato and Oregano Salsa\n", + "(ef4c8232a4)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '2 tablespoons olive oil'\n", + " * '2 tablespoons chopped fresh basil'\n", + " * '2 cloves garlic , chopped'\n", + " * '1/2 teaspoon chopped fresh rosemary'\n", + " * '1/2 teaspoon chopped fresh oregano'\n", + " * '1/2 teaspoon salt'\n", + " * '1/4 teaspoon chopped fresh thyme'\n", + " * '1/4 teaspoon freshly ground black pepper'\n", + " * '4 boneless , skinless chicken breasts \\( about 6 ounces each \\)'\n", + " * '1 pound fresh tomatoes , diced'\n", + " * '1 tablespoon olive oil'\n", + " * '1/2 teaspoon salt'\n", + " * '1/4 teaspoon freshly ground black pepper'\n", + " * '1 medium shallot , diced'\n", + " * '1/2 cup diced onion'\n", + " * '1/2 small jalapeno , cored , seeded and minced'\n", + " * '1 teaspoon minced garlic'\n", + " * '1 tablespoon chopped fresh oregano'\n", + " * 'Vegetable oil cooking spray'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Combine first 8 ingredients in a plastic bag .\n", + " * Add chicken ; marinate at least 30 minutes .\n", + " * Heat oven to 400F .\n", + " * Cover a baking tray with foil .\n", + " * To make salsa , spread tomatoes on tray ; drizzle with oil .\n", + " * Add salt and pepper .\n", + " * Bake until lightly browned , 20 to 25 minutes .\n", + " * Combine tomatoes , shallots , onion , jalapeno , garlic and oregano in a bowl .\n", + " * Coat a large skillet with cooking spray .\n", + " * Heat over medium-high heat .\n", + " * Remove chicken from marinade ; cook 5 minutes .\n", + " * Reduce heat to medium-low , flip chicken and add leftover marinade to pan .\n", + " * Cook 5 minutes .\n", + " * Reduce heat to low .\n", + " * Cover chicken ; cook 10 minutes .\n", + " * Divide among 4 plates ; top each with 1/4 of the salsa .\n", + " * Serve immediately ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "brown0\n", + "\n", + "brown\n", + "\n", + "\n", + "\n", + "bake1\n", + "\n", + "bake\n", + "\n", + "\n", + "\n", + "brown0->bake1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "olive oil\n", + "\n", + "olive oil\n", + "\n", + "\n", + "\n", + "mix1\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + 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"\n", + "chop\n", + "\n", + "\n", + "\n", + "mix2\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "mix2->dice2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix1->brown0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "oregano\n", + "\n", + "oregano\n", + "\n", + "\n", + "\n", + "oregano->mix3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "brown2->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix7\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "heat5->mix7\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "thyme\n", + "\n", + "thyme\n", + "\n", + "\n", + "\n", + "thyme->chop4\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "heat4\n", + "\n", + "heat\n", + "\n", + "\n", + "\n", + "heat4->bake3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "heat9\n", + "\n", + "heat\n", + "\n", + "\n", + "\n", + "mix5->heat9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "rosemary\n", + "\n", + "rosemary\n", + "\n", + "\n", + "\n", + "rosemary->chop2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix4->heat1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "bake1->cook5\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "basil\n", + "\n", + "basil\n", + "\n", + "\n", + "\n", + "basil->chop0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "heat9->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "onion\n", + "\n", + "onion\n", + "\n", + "\n", + "\n", + "onion->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cook2->mix7\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "chicken breast\n", + "\n", + "chicken breast\n", + "\n", + "\n", + "\n", + "chicken breast->heat4\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "shallot\n", + "\n", + "shallot\n", + "\n", + "\n", + "\n", + "shallot->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "chop1->mix4\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cook0->mix5\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "tomato\n", + "\n", + "tomato\n", + "\n", + "\n", + "\n", + "tomato->dice0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "bake4->mix6\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Bacon Ranch Chicken Skewers\n", + "(f36bad261e)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '1/3 cup ranch dressing'\n", + " * '1 teaspoon hot chile paste \\( such as sambal oelek \\)'\n", + " * '4 skinless , boneless chicken breast halves - cut into 1 inch pieces'\n", + " * '24 \\( 1-inch \\) pieces red onion'\n", + " * '12 slices thick cut bacon'\n", + " * 'salt and black pepper to taste'\n", + " * '12 \\( 6 inch \\) bamboo skewers , soaked in water for 2 hours'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Whisk together ranch dressing and hot chile paste in a large bowl .\n", + " * Mix in chicken pieces and toss to evenly coat .\n", + " * Cover the bowl with plastic wrap and marinate in the refrigerator for 1 to 3 hours .\n", + " * Preheat an outdoor grill for medium-high heat and lightly oil the grate .\n", + " * Remove chicken from the bag and transfer to a plate or baking sheet lined with paper towels .\n", + " * Pat chicken pieces dry with more paper towels .\n", + " * Thread a piece of onion about 1 1/2 inches down the skewer .\n", + " * Thread the end portion of one strip of bacon onto skewer so the rest of the strip is hanging down .\n", + " * Skewer on a piece of chicken ; thread on the next portion of the bacon .\n", + " * Turn the skewer so that the long end of the bacon is again hanging down .\n", + " * Repeat this process of skewering and turning until the entire strip of bacon is threaded , using 4 to 5 chicken pieces .\n", + " * Thread a second piece of onion onto the end of the skewer .\n", + " * Repeat steps 5 through 7 for all twelve skewers .\n", + " * Season chicken skewers with salt and pepper as desired .\n", + " * Cook the skewers on the preheated grill , turning every 3 to 4 minutes , until nicely browned on all sides and the meat is no longer pink in the center , 12 to 16 minutes total per skewer .\n", + " * Serve with ranch dressing as a dipping sauce ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "grill1\n", + "\n", + "grill\n", + "\n", + "\n", + "\n", + "brown0\n", + "\n", + "brown\n", + "\n", + "\n", + "\n", + "grill1->brown0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "meat\n", + "\n", + "meat\n", + "\n", + "\n", + "\n", + "meat->grill1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix4\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "brown0->mix4\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "red onion\n", + "\n", + "red onion\n", + "\n", + "\n", + "\n", + "mix1\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "red onion->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "sauce\n", + "\n", + "sauce\n", + "\n", + "\n", + "\n", + "mix0\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "sauce->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "skewer\n", + "\n", + "skewer\n", + "\n", + "\n", + "\n", + "soak0\n", + "\n", + "soak\n", + "\n", + "\n", + "\n", + "skewer->soak0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix3\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "whisk1\n", + "\n", + "whisk\n", + "\n", + "\n", + "\n", + "mix3->whisk1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "heat0\n", + "\n", + "heat\n", + "\n", + "\n", + "\n", + "grill0\n", + "\n", + "grill\n", + "\n", + "\n", + "\n", + "heat0->grill0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cook0\n", + "\n", + "cook\n", + "\n", + "\n", + "\n", + "mix1->cook0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "slice0\n", + "\n", + "slice\n", + "\n", + "\n", + "\n", + "slice0->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix2\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "whisk1->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "center\n", + "\n", + "center\n", + "\n", + "\n", + "\n", + "center->mix4\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "hot chile\n", + "\n", + "hot chile\n", + "\n", + "\n", + "\n", + "hot chile->mix3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cut1\n", + "\n", + "cut\n", + "\n", + "\n", + "\n", + "cut1->slice0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "dress\n", + "\n", + "dress\n", + "\n", + "\n", + "\n", + "dress->mix3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "salt\n", + "\n", + "salt\n", + "\n", + "\n", + "\n", + "salt->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "chicken breast\n", + "\n", + "chicken breast\n", + "\n", + "\n", + "\n", + "cut0\n", + "\n", + "cut\n", + "\n", + "\n", + "\n", + "chicken breast->cut0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "marinate1\n", + "\n", + "marinate\n", + "\n", + "\n", + "\n", + "marinate1->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "oil\n", + "\n", + "oil\n", + "\n", + "\n", + "\n", + "oil->heat0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cut0->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "bacon\n", + "\n", + "bacon\n", + "\n", + "\n", + "\n", + "bacon->cut1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix2->marinate1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cook0->mix4\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "black pepper\n", + "\n", + "black pepper\n", + "\n", + "\n", + "\n", + "black pepper->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "soak0->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Dilly Sour Cream Salad Dressing\n", + "(1255330ef7)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '12 cup sour cream'\n", + " * '2 tablespoons lemon juice'\n", + " * '2 tablespoons milk'\n", + " * '2 teaspoons dill'\n", + " * '1 teaspoon sugar'\n", + " * '14 teaspoon salt'\n", + " * '14 teaspoon pepper'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Mix all ingredients together and refrigerate .\n", + " * Best if allowed to set for at least 4 hours for flavors to blend ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "sour0\n", + "\n", + "sour\n", + "\n", + "\n", + "\n", + "cream\n", + "\n", + "cream\n", + "\n", + "\n", + "\n", + "cream->sour0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "lemon juice\n", + "\n", + "lemon juice\n", + "\n", + "\n", + "\n", + "pepper\n", + "\n", + "pepper\n", + "\n", + "\n", + "\n", + "dill\n", + "\n", + "dill\n", + "\n", + "\n", + "\n", + "salt\n", + "\n", + "salt\n", + "\n", + "\n", + "\n", + "sugar\n", + "\n", + "sugar\n", + "\n", + "\n", + "\n", + "milk\n", + "\n", + "milk\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Minted Pea Pasta With Sour Cream\n", + "(d8d10e5af6)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '350 g penne'\n", + " * '1 onion , sliced'\n", + " * '4 garlic cloves , crushed'\n", + " * '2 cups minted frozen peas'\n", + " * '1 12 cups chicken stock or 1 12 cups vegetable stock'\n", + " * '1 lemon , juice and zest of'\n", + " * 'sea salt'\n", + " * 'cracked pepper'\n", + " * '14 cup extra- light sour cream'\n", + " * 'parmesan cheese \\( optional \\)'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Bring a large pot of water to the boil .\n", + " * Cook pene for 10 mins til tender , drain .\n", + " * Meanwhile heat a non-stick frypan to high heat and spray with cooking oil .\n", + " * Add onion and garlic and cook for 3 mins till softerned .\n", + " * Add peas , stock and cook for 5-6 minutes Add zest and juice and season with salt and pepper .\n", + " * Add penne and stir to combine .\n", + " * Top with sour cream and Parmesan cheese if desired ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "stock vegetable stock\n", + "\n", + "stock vegetable stock\n", + "\n", + "\n", + "\n", + "mix9\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "stock vegetable stock->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mint\n", + "\n", + "mint\n", + "\n", + "\n", + "\n", + "mix0\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "mint->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cheese\n", + "\n", + "cheese\n", + "\n", + "\n", + "\n", + "sour0\n", + "\n", + "sour\n", + "\n", + "\n", + "\n", + "cheese->sour0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "pea\n", + "\n", + "pea\n", + "\n", + "\n", + "\n", + "pea->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "onion\n", + "\n", + "onion\n", + "\n", + "\n", + "\n", + "slice0\n", + "\n", + "slice\n", + "\n", + "\n", + "\n", + "onion->slice0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "garlic clove\n", + "\n", + "garlic clove\n", + "\n", + "\n", + "\n", + "garlic clove->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cooking oil\n", + "\n", + "cooking oil\n", + "\n", + "\n", + "\n", + "heat0\n", + "\n", + "heat\n", + "\n", + "\n", + "\n", + "cooking oil->heat0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "salt\n", + "\n", + "salt\n", + "\n", + "\n", + "\n", + "salt->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cream\n", + "\n", + "cream\n", + "\n", + "\n", + "\n", + "lemon\n", + "\n", + "lemon\n", + "\n", + "\n", + "\n", + "slice0->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "crack0\n", + "\n", + "crack\n", + "\n", + "\n", + "\n", + "crack0->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cook0\n", + "\n", + "cook\n", + "\n", + "\n", + "\n", + "cook0->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "heat0->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "pepper\n", + "\n", + "pepper\n", + "\n", + "\n", + "\n", + "pepper->crack0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "water\n", + "\n", + "water\n", + "\n", + "\n", + "\n", + "zest\n", + "\n", + "zest\n", + "\n", + "\n", + "\n", + "zest->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix0->cook0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "penne\n", + "\n", + "penne\n", + "\n", + "\n", + "\n", + "penne->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "juice\n", + "\n", + "juice\n", + "\n", + "\n", + "\n", + "juice->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Mocha Punch\n", + "(024ddb0778)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '1 12 quarts water'\n", + " * '12 cup instant chocolate drink mix'\n", + " * '12 cup sugar'\n", + " * '14 cup instant coffee granules'\n", + " * '12 gallon vanilla ice cream'\n", + " * '12 gallon chocolate ice cream'\n", + " * '1 cup whipped cream , whipped'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * In a large saucepan , bring the water to a boil ; then remove from the heat .\n", + " * Add the drink mix , sugar , and coffee ; stir until dissolved .\n", + " * Cover and refrigerate for 4 hours or overnight .\n", + " * About 30 minutes before serving , pour into a punch bowl .\n", + " * Add the ice cream by scoopfuls ; stir until partially melted .\n", + " * Garnish with dollops of whipped cream ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "chocolate ice cream\n", + "\n", + "chocolate ice cream\n", + "\n", + "\n", + "\n", + "water\n", + "\n", + "water\n", + "\n", + "\n", + "\n", + "mix1\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "water->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "chocolate\n", + "\n", + "chocolate\n", + "\n", + "\n", + "\n", + "chocolate->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "garnish\n", + "\n", + "garnish\n", + "\n", + "\n", + "\n", + "mix4\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "garnish->mix4\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "pour0\n", + "\n", + "pour\n", + "\n", + "\n", + "\n", + "mix1->pour0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "vanilla ice cream\n", + "\n", + "vanilla ice cream\n", + "\n", + "\n", + "\n", + "vanilla ice cream->mix4\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "sugar\n", + "\n", + "sugar\n", + "\n", + "\n", + "\n", + "sugar->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "refrigerate2\n", + "\n", + "refrigerate\n", + "\n", + "\n", + "\n", + "refrigerate2->mix4\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "pour0->refrigerate2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "whip0\n", + "\n", + "whip\n", + "\n", + "\n", + "\n", + "cream\n", + "\n", + "cream\n", + "\n", + "\n", + "\n", + "cream->whip0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "coffee\n", + "\n", + "coffee\n", + "\n", + "\n", + "\n", + "coffee->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Oyster Po' Boys\n", + "(b0fdad935e)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '1/2 cup mayonnaise'\n", + " * '1 1/4 teaspoons minced canned chipotle chiles in adobo'\n", + " * '1/2 teaspoon fresh lemon juice'\n", + " * '6 cups vegetable oil'\n", + " * '1 large egg'\n", + " * '1/4 cup whole milk'\n", + " * '2 1/2 teaspoons salt'\n", + " * '1 1/2 cups cornmeal'\n", + " * '1/4 teaspoon black pepper'\n", + " * '2 cups shucked oysters , drained \\( about 36 \\)'\n", + " * '1 \\( 12- to 14-inch-long \\) loaf soft-crusted bread'\n", + " * '3 cups shredded iceberg lettuce'\n", + " * 'Accompaniment : lemon wedges'\n", + " * 'Special equipment : a deep-fat thermometer'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Whisk together mayonnaise , chipotle , and lemon juice and chill mixture , its surface covered with plastic wrap .\n", + " * Heat oil in a deep heavy pot \\( preferably a cast-iron Dutch oven \\) over high heat until it registers 375F on deep-fat thermometer , about 12 minutes .\n", + " * While oil is heating , whisk together egg , milk , and 1 teaspoon salt in a bowl .\n", + " * Shake cornmeal , remaining 1 1/2 teaspoons salt , and pepper in a plastic or paper bag until combined well .\n", + " * Working in batches , add oysters to egg mixture , then lift out , letting excess drip off , and transfer to cornmeal in bag , shaking to coat well .\n", + " * Carefully transfer to oil , knocking off excess coating , and fry , turning occasionally , until golden and just cooked through , 1 to 2 minutes .\n", + " * Transfer with a slotted spoon to paper towels to drain .\n", + " * Coat and fry remaining oysters in same manner , returning oil to 375F for each batch .\n", + " * Halve loaf crosswise and horizontally , cutting all the way through , and spread one cut side of each piece with mayonnaise .\n", + " * Sandwich oysters and lettuce between bread , pressing gently ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "iceberg lettuce\n", + "\n", + "iceberg lettuce\n", + "\n", + "\n", + "\n", + "mix3\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "iceberg lettuce->mix3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "drain6\n", + "\n", + "drain\n", + "\n", + "\n", + "\n", + "oyster\n", + "\n", + "oyster\n", + "\n", + "\n", + "\n", + "vegetable oil\n", + "\n", + "vegetable oil\n", + "\n", + "\n", + "\n", + "mix2\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "vegetable oil->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "chipotle chile\n", + "\n", + "chipotle chile\n", + "\n", + "\n", + "\n", + "mince0\n", + "\n", + "mince\n", + "\n", + "\n", + "\n", + "chipotle chile->mince0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "milk\n", + "\n", + "milk\n", + "\n", + "\n", + "\n", + "mix0\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "milk->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "lemon juice\n", + "\n", + "lemon juice\n", + "\n", + "\n", + "\n", + "lemon juice->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix1\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "mix1->drain6\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mince0->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "heat1\n", + "\n", + "heat\n", + "\n", + "\n", + "\n", + "mix2->heat1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "whisk2\n", + "\n", + "whisk\n", + "\n", + "\n", + "\n", + "whisk2->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "egg\n", + "\n", + "egg\n", + "\n", + "\n", + "\n", + "egg->whisk2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "black pepper\n", + "\n", + "black pepper\n", + "\n", + "\n", + "\n", + "black pepper->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "salt\n", + "\n", + "salt\n", + "\n", + "\n", + "\n", + "salt->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "heat1->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "whisk1\n", + "\n", + "whisk\n", + "\n", + "\n", + "\n", + "whisk1->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "batch\n", + "\n", + "batch\n", + "\n", + "\n", + "\n", + "batch->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix0->whisk1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "deep-fat thermometer\n", + "\n", + "deep-fat thermometer\n", + "\n", + "\n", + "\n", + "deep-fat thermometer->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "bread\n", + "\n", + "bread\n", + "\n", + "\n", + "\n", + "bread->mix3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "accompaniment\n", + "\n", + "accompaniment\n", + "\n", + "\n", + "\n", + "cornmeal\n", + "\n", + "cornmeal\n", + "\n", + "\n", + "\n", + "cornmeal->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "loaf\n", + "\n", + "loaf\n", + "\n", + "\n", + "\n", + "coating\n", + "\n", + "coating\n", + "\n", + "\n", + "\n", + "coating->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Moroccan Couscous Salad\n", + "(2befd0cd83)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '13 cup couscous'\n", + " * '12 cup chicken stock'\n", + " * '1 teaspoon olive oil'\n", + " * '1 tablespoon orange juice'\n", + " * '1 teaspoon Dijon mustard'\n", + " * '1 teaspoon chopped fresh thyme'\n", + " * '2 green onions , thinly sliced'\n", + " * '14 cup parsley'\n", + " * '12 orange , peeled and cut into chunks'\n", + " * '1 tablespoon fresh lemon juice'\n", + " * 'salt and freshly ground black pepper , to taste'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Bring chicken stock to a boil and stir in the couscous .\n", + " * Cover and remove from heat ; allow to stand for 5 minutes .\n", + " * In a separate bowl , mix together the orange juice , lemon juice , Dijon mustard , thyme , onions , parsley and oranges .\n", + " * Fluff couscous with a fork and mix well with the other ingredients .\n", + " * Season with salt and pepper , if necessary ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "salt\n", + "\n", + "salt\n", + "\n", + "\n", + "\n", + "mix5\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "salt->mix5\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "orange juice\n", + "\n", + "orange juice\n", + "\n", + "\n", + "\n", + "mix0\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "orange juice->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "thyme\n", + "\n", + "thyme\n", + "\n", + "\n", + "\n", + "chop0\n", + "\n", + "chop\n", + "\n", + "\n", + "\n", + "thyme->chop0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "couscous\n", + "\n", + "couscous\n", + "\n", + "\n", + "\n", + "boil0\n", + "\n", + "boil\n", + "\n", + "\n", + "\n", + "couscous->boil0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix1\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "boil0->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "dijon mustard\n", + "\n", + "dijon mustard\n", + "\n", + "\n", + "\n", + "dijon mustard->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "black pepper\n", + "\n", + "black pepper\n", + "\n", + "\n", + "\n", + "black pepper->mix5\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "heat1\n", + "\n", + "heat\n", + "\n", + "\n", + "\n", + "mix1->heat1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "chicken stock\n", + "\n", + "chicken stock\n", + "\n", + "\n", + "\n", + "chicken stock->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "orange\n", + "\n", + "orange\n", + "\n", + "\n", + "\n", + "cut0\n", + "\n", + "cut\n", + "\n", + "\n", + "\n", + "orange->cut0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "parsley\n", + "\n", + "parsley\n", + "\n", + "\n", + "\n", + "parsley->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "other\n", + "\n", + "other\n", + "\n", + "\n", + "\n", + "other->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "lemon juice\n", + "\n", + "lemon juice\n", + "\n", + "\n", + "\n", + "slice0\n", + "\n", + "slice\n", + "\n", + "\n", + "\n", + "slice0->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "chop0->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "peel0\n", + "\n", + "peel\n", + "\n", + "\n", + "\n", + "cut0->peel0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "olive oil\n", + "\n", + "olive oil\n", + "\n", + "\n", + "\n", + "heat1->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "green onion\n", + "\n", + "green onion\n", + "\n", + "\n", + "\n", + "green onion->slice0\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Taco Wontons\n", + "(689f74800f)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '2- 1/2 ounces , weight Cooked Taco Ground Beef'\n", + " * '15 whole Wonton Wraps 3x3 Size'\n", + " * '13 cups Salsa , Your Favorite'\n", + " * '1 ounce , weight Light Mexican Cheese , Shredded'\n", + " * 'Spray Butter'\n", + " * 'Greek Yogurt And Salsa , To Serve'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Preheat oven to 350 degrees F. Line a baking sheet with parchment paper .\n", + " * In a tiny bowl , add some water .\n", + " * This is for sealing the edges of your wontons .\n", + " * Place 1 teaspoon of ground beef into a wrapper and top with 1 teaspoon salsa and a pinch of cheese .\n", + " * Take your finger , dip in water , and run your wet finger along the edges of the wrapper \\( this will be the glue to seal the wrappers together \\) .\n", + " * Fold wrapper over into a triangle and place on the baking sheet .\n", + " * Do the same for the rest of the wrappers .\n", + " * Spray each wonton with about 2 sprays of butter .\n", + " * Bake for 15 minutes , until lightly browned .\n", + " * Serve with Greek yogurt and salsa .\n", + " * Makes 15 taco wontons .\n", + " * Calories per taco wonton : 36 , Fat : .07 , Cholesterol : 4 , Sodium : 58 , Potassium : 7 , Carbs : 5.3 , Fiber : .01 , Sugar : .04 , Protein : 2.3" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "place0\n", + "\n", + "place\n", + "\n", + "\n", + "\n", + "mix1\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "place0->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "bake4\n", + "\n", + "bake\n", + "\n", + "\n", + "\n", + "brown1\n", + "\n", + "brown\n", + "\n", + "\n", + "\n", + "bake4->brown1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix2\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "bake0\n", + "\n", + "bake\n", + "\n", + "\n", + "\n", + "mix2->bake0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "water\n", + "\n", + "water\n", + "\n", + "\n", + "\n", + "water->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "ground beef\n", + "\n", + "ground beef\n", + "\n", + "\n", + "\n", + "ground beef->place0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "finger\n", + "\n", + "finger\n", + "\n", + "\n", + "\n", + "finger->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "fat\n", + "\n", + "fat\n", + "\n", + "\n", + "\n", + "mix0\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "fat->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "brown0\n", + "\n", + "brown\n", + "\n", + "\n", + "\n", + "bake0->brown0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix1->bake4\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "sugar\n", + "\n", + "sugar\n", + "\n", + "\n", + "\n", + "sugar->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "salsa\n", + "\n", + "salsa\n", + "\n", + "\n", + "\n", + "salsa->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "butter\n", + "\n", + "butter\n", + "\n", + "\n", + "\n", + "butter->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "wonton\n", + "\n", + "wonton\n", + "\n", + "\n", + "\n", + "cheese\n", + "\n", + "cheese\n", + "\n", + "\n", + "\n", + "cheese->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "brown0->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "brown1->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Elk Carpaccio with Grilled Corn Tortillas and Arugula with Lemon Vinaigrette\n", + "(b88c469b28)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '1 pound fresh domestic elk rib-eye'\n", + " * '1 minced fresh jalapeno pepper'\n", + " * '1 dozen fresh corn tortillas'\n", + " * '1 tablespoon good olive oil , plus more for drizzling'\n", + " * '1/2 teaspoon fresh lemon juice'\n", + " * 'Kosher salt and fresh ground pepper'\n", + " * '1/4 cup freshly grated dry Mexican cheese'\n", + " * '2 tablespoons good olive oil'\n", + " * '1/2 fresh lemon , juiced'\n", + " * '2 dashes green hot sauce \\( recommended : Tabasco \\)'\n", + " * '1/2 teaspoon finely chopped jalapeno'\n", + " * 'Kosher salt and fresh ground pepper'\n", + " * '1 1/4 pounds baby arugula'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Chill the rib-eye in the freezer for 10 minutes to make it easier to slice .\n", + " * Mince 1 fresh jalapeno pepper after removing the seeds and ribs \\( flavor not heat is important because the domestic elk has such a delicate flavor \\) .\n", + " * Brush the corn tortillas with a little olive oil and place them directly on a hot grill , turn often .\n", + " * You want them crisp and with grill marks .\n", + " * Mix your vinaigrette using a whisk in a small metal bowl .\n", + " * Slice the raw elk as thinly as possible , arrange on a large chilled platter after tossing the baby arugula in the dressing and placing in the middle of the platter .\n", + " * Sprinkle the minced jalapeno on the meat and drizzle with the good olive oil and the lemon juice .\n", + " * Season with salt and pepper and garnish with the cheese .\n", + " * Break up the grilled tortillas by hand and use the pieces to enjoy the elk ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "sprinkle\n", + "\n", + "sprinkle\n", + "\n", + "\n", + "\n", + "mix0\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "sprinkle->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "ground pepper\n", + "\n", + "ground pepper\n", + "\n", + "\n", + "\n", + "green hot sauce\n", + "\n", + "green hot sauce\n", + "\n", + "\n", + "\n", + "place0\n", + "\n", + "place\n", + "\n", + "\n", + "\n", + "green hot sauce->place0\n", + 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"dressing->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "olive oil\n", + "\n", + "olive oil\n", + "\n", + "\n", + "\n", + "olive oil->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "rib\n", + "\n", + "rib\n", + "\n", + "\n", + "\n", + "mix1\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "rib->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "brush0\n", + "\n", + "brush\n", + "\n", + "\n", + "\n", + "brush0->grill0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "pepper\n", + "\n", + "pepper\n", + "\n", + "\n", + "\n", + "pepper->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "salt\n", + "\n", + "salt\n", + "\n", + "\n", + "\n", + "salt->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "chill0\n", + "\n", + "chill\n", + "\n", + "\n", + "\n", + "mix2->chill0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "platter\n", + "\n", + "platter\n", + "\n", + "\n", + "\n", + "platter->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "corn tortilla\n", + "\n", + "corn tortilla\n", + "\n", + "\n", + "\n", + "corn tortilla->brush0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "vinaigrette\n", + "\n", + "vinaigrette\n", + "\n", + "\n", + "\n", + "vinaigrette->mix6\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix1->mince0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "arugula\n", + "\n", + "arugula\n", + "\n", + "\n", + "\n", + "arugula->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "break0->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "placing\n", + "\n", + "placing\n", + "\n", + "\n", + "\n", + "placing->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "chill0->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "crisp\n", + "\n", + "crisp\n", + "\n", + "\n", + "\n", + "crisp->mix6\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Chewy Almond Cookies\n", + "(a795b3a586)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '1 cup Almonds , Toasted'\n", + " * '1- 1/2 cup All-purpose Flour'\n", + " * '1/2 teaspoons Baking Soda'\n", + " * '1/2 teaspoons Baking Powder'\n", + " * '1 teaspoon Cornstarch'\n", + " * '1/2 teaspoons Salt'\n", + " * '8 Tablespoons Unsalted Butter , melted'\n", + " * '23 cups Plus 2 Tablespoons Light Brown Sugar , Packed'\n", + " * '13 cups White Sugar'\n", + " * '1 whole Egg , Room Temperature'\n", + " * '1 whole Egg Yolk , Room Temperature'\n", + " * '1- 1/2 teaspoon Almond Extract'\n", + " * '1 teaspoon Vanilla Extract'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Place almonds in a food processor and pulse until finely ground .\n", + " * In a medium bowl , combine flour , ground almonds , baking soda , baking powder , cornstarch , and salt together and set aside .\n", + " * In a large bowl , whisk melted butter , light brown and white sugars together until well combined and mixture is smooth .\n", + " * Add in egg , egg yolk , almond extract , and vanilla extract and mix well .\n", + " * Stir in flour mixture until just combined .\n", + " * Cover dough with plastic wrap and chill in fridge overnight .\n", + " * Preheat oven to 350 degrees F. Scoop 2-teaspoon portions of dough onto baking sheets lined with parchment paper .\n", + " * Bake for about 812 minutes , until edges start browning slightly .\n", + " * Remove and allow to cool .\n", + " * Makes about 40 cookies ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "cool1\n", + "\n", + "cool\n", + "\n", + "\n", + "\n", + "place0\n", + "\n", + "place\n", + "\n", + "\n", + "\n", + "mix1\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "place0->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "bake1\n", + "\n", + "bake\n", + "\n", + "\n", + "\n", + "bake1->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix1->cool1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "egg yolk\n", + "\n", + "egg yolk\n", + "\n", + "\n", + "\n", + "salt\n", + "\n", + "salt\n", + "\n", + "\n", + "\n", + "salt->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "sugar\n", + "\n", + "sugar\n", + "\n", + "\n", + "\n", + "egg\n", + "\n", + "egg\n", + "\n", + "\n", + "\n", + "egg->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "white sugar\n", + "\n", + "white sugar\n", + "\n", + "\n", + "\n", + "vanilla extract\n", + "\n", + "vanilla extract\n", + "\n", + "\n", + "\n", + "butter\n", + "\n", + "butter\n", + "\n", + "\n", + "\n", + "brown\n", + "\n", + "brown\n", + "\n", + "\n", + "\n", + "mix0\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "brown->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "flour\n", + "\n", + "flour\n", + "\n", + "\n", + "\n", + "flour->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "baking soda\n", + "\n", + "baking soda\n", + "\n", + "\n", + "\n", + "baking soda->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "almonds\n", + "\n", + "almonds\n", + "\n", + "\n", + "\n", + "almonds->place0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "almond extract\n", + "\n", + "almond extract\n", + "\n", + "\n", + "\n", + "almond extract->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "baking\n", + "\n", + "baking\n", + "\n", + "\n", + "\n", + "dough\n", + "\n", + "dough\n", + "\n", + "\n", + "\n", + "dough->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cooky\n", + "\n", + "cooky\n", + "\n", + "\n", + "\n", + "mix0->bake1\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Easy Spiced Salmon\n", + "(5c6c6cc654)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '1 teaspoon brown sugar'\n", + " * '2 teaspoons curry powder'\n", + " * '14 teaspoon salt'\n", + " * '4 salmon fillets \\( 1/4 pound each \\)'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Sprinkle salmon fillets with curry powder , salt and sugar .\n", + " * Spray a skillet with Pam and set over medium high heat .\n", + " * Add fish to pan and cook until done , about 5-10 minutes per side , depending on the thickness of the fish ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "salmon fillet\n", + "\n", + "salmon fillet\n", + "\n", + "\n", + "\n", + "mix1\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "salmon fillet->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "curry\n", + "\n", + "curry\n", + "\n", + "\n", + "\n", + "curry->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "fish\n", + "\n", + "fish\n", + "\n", + "\n", + "\n", + "cook0\n", + "\n", + "cook\n", + "\n", + "\n", + "\n", + "fish->cook0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "heat1\n", + "\n", + "heat\n", + "\n", + "\n", + "\n", + "mix3\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "heat1->mix3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cook0->mix3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "sugar\n", + "\n", + "sugar\n", + "\n", + "\n", + "\n", + "brown0\n", + "\n", + "brown\n", + "\n", + "\n", + "\n", + "sugar->brown0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix1->heat1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "brown0->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "salt\n", + "\n", + "salt\n", + "\n", + "\n", + "\n", + "salt->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Cinnamon Deep Fried Ice Cream\n", + "(fad1fc2091)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '12 cup vanilla ice cream'\n", + " * '2 tablespoons cinnamon'\n", + " * '12 cup sugar'\n", + " * '34 cup corn flakes \\( Crushed \\)'\n", + " * '3 tablespoons whipped cream \\( optional \\)'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Mix the cinnamon and sugar together in a small bowl , and roll the ice cream in it .\n", + " * Then roll the ice cream into the crushed corn flakes .\n", + " * Place the ice cream ball back in the freezer to harden .\n", + " * To deep fry , heat the fryer to 375 degrees and drop the ice cream ball in for about 10 seconds .\n", + " * Remove and drain the ice cream ball and place on a dessert plate .\n", + " * Serve with whipped cream if desired ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "heat0\n", + "\n", + "heat\n", + "\n", + "\n", + "\n", + "fry0\n", + "\n", + "fry\n", + "\n", + "\n", + "\n", + "heat0->fry0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "roll\n", + "\n", + "roll\n", + "\n", + "\n", + "\n", + "mix1\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "roll->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cinnamon\n", + "\n", + "cinnamon\n", + "\n", + "\n", + "\n", + "cinnamon->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "sugar\n", + "\n", + "sugar\n", + "\n", + "\n", + "\n", + "sugar->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "fryer\n", + "\n", + "fryer\n", + "\n", + "\n", + "\n", + "fryer->heat0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cream\n", + "\n", + "cream\n", + "\n", + "\n", + "\n", + "whip0\n", + "\n", + "whip\n", + "\n", + "\n", + "\n", + "cream->whip0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "vanilla ice cream\n", + "\n", + "vanilla ice cream\n", + "\n", + "\n", + "\n", + "vanilla ice cream->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "drain0\n", + "\n", + "drain\n", + "\n", + "\n", + "\n", + "mix4\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "drain0->mix4\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "place0\n", + "\n", + "place\n", + "\n", + "\n", + "\n", + "mix1->place0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "place0->drain0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "corn\n", + "\n", + "corn\n", + "\n", + "\n", + "\n", + "corn->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "fry0->mix4\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Carla's Rum Cake\n", + "(4f5de239fd)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '1 \\( 18 ounce \\) Duncan Hines yellow cake mix \\( not butter \\)'\n", + " * '1 \\( 3 1/2 ounce \\) package French vanilla instant pudding'\n", + " * '4 eggs'\n", + " * '12 cup spiced rum \\( I use Captain Morgan 's Spiced Rum \\)'\n", + " * '12 cup water'\n", + " * '12 cup oil'\n", + " * '1 cup pecans , chopped'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * 1 .\n", + " * Grease and flour a bunbt pan .\n", + " * 2 .\n", + " * Put chopped pecans in bottom of pan , of if you choose , you can add pecans to the batter .\n", + " * 3 .\n", + " * Put all ingredients in a bowl and mix with a spoon .\n", + " * 4 .\n", + " * Pour cake batter into bunbt pan .\n", + " * 5 .\n", + " * Bake at 325 degrees oven for one hour .\n", + " * 6 .\n", + " * While cake is baking , bring to boil and remove from fire : .\n", + " * 1 stick of unsalted butter , 1/4 cup spiced rum , 1/4 cup water , and 1 cup of sugar .\n", + " * 7 .\n", + " * When cake come out of oven , pour 1/3 glaze on cake while it is still in the pan , let soak inches Repeat .\n", + " * 8 .\n", + " * Remove cake from pan , turn over onto serving platter , and pour rest of glaze on top of cake .\n", + " * 9 .\n", + " * Freezes great !" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "butter\n", + "\n", + "butter\n", + "\n", + "\n", + "\n", + "mix2\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "butter->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "oil\n", + "\n", + "oil\n", + "\n", + "\n", + "\n", + "egg\n", + "\n", + "egg\n", + "\n", + "\n", + "\n", + "pour1\n", + "\n", + "pour\n", + "\n", + "\n", + "\n", + "mix1\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "pour1->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "inch\n", + "\n", + "inch\n", + "\n", + "\n", + "\n", + "soak0\n", + "\n", + "soak\n", + "\n", + "\n", + "\n", + "inch->soak0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "vanilla instant pudding\n", + "\n", + "vanilla instant pudding\n", + "\n", + "\n", + "\n", + "spice rum\n", + "\n", + "spice rum\n", + "\n", + "\n", + "\n", + "spice rum->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "flour\n", + "\n", + "flour\n", + "\n", + "\n", + "\n", + "flour->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "bake1\n", + "\n", + "bake\n", + "\n", + "\n", + "\n", + "mix1->bake1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "sugar\n", + "\n", + "sugar\n", + "\n", + "\n", + "\n", + "sugar->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "water\n", + "\n", + "water\n", + "\n", + "\n", + "\n", + "water->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "bake1->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "pour0\n", + "\n", + "pour\n", + "\n", + "\n", + "\n", + "pour0->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cake\n", + "\n", + "cake\n", + "\n", + "\n", + "\n", + "cake->pour1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "pecan\n", + "\n", + "pecan\n", + "\n", + "\n", + "\n", + "glaze\n", + "\n", + "glaze\n", + "\n", + "\n", + "\n", + "glaze->pour0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "soak0->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Apricot Smoothie\n", + "(bc752503e6)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '16 fresh apricots , pitted'\n", + " * '32 oz . low-fat \\( 1 % \\) yogurt , favorite flavor'\n", + " * '1/2 cup PLANTERS Dry Roasted Peanuts'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Place apricots in blender with yogurt ; add ice if you wish and blend .\n", + " * Divide into 4 equal servings .\n", + " * Serve 2 Tbsp .\n", + " * peanuts per person on the side ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "mix0\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "place0\n", + "\n", + "place\n", + "\n", + "\n", + "\n", + "place0->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "peanuts\n", + "\n", + "peanuts\n", + "\n", + "\n", + "\n", + "ice\n", + "\n", + "ice\n", + "\n", + "\n", + "\n", + "ice->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "apricot\n", + "\n", + "apricot\n", + "\n", + "\n", + "\n", + "apricot->place0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "low-fat\n", + "\n", + "low-fat\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Monaka-style Adzuki Bean Cracker Sandwiches With the Aroma of Pickled Plums and Shiso Leaves\n", + "(ee066f5cda)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '12 Crackers \\( I used Ritz crackers \\)'\n", + " * '1 small can Canned boiled adzuki beans'\n", + " * '1 large Umeboshi \\( I recommend honey umeboshi \\)'\n", + " * '3 to 4 Shiso leaves'\n", + " * '1 tbsp A : Sugar'\n", + " * '1 grams Powdered kanten'\n", + " * '1 Butter \\( optional \\)'\n", + " * '1 Cheese \\( optional \\)'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Take the pit out of the umeboshi and mince the flesh .\n", + " * Finely chop the shiso leaves .\n", + " * Put the boiled adzuki beans , umeboshi and A ingredients \\( sugar , powdered kanten \\) in a saucepan and mix together .\n", + " * Cook over low heat , stirring constantly .\n", + " * It will become thick after 3-5 minutes .\n", + " * Remove from heat before it becomes too thick and stir in the finely chopped shiso leaves .\n", + " * Let cool , and the `` Plum Shiso Bean Paste '' is done .\n", + " * Put in as many shiso leaves as you like .\n", + " * Sandwich the filling between crackers and that 's it Garnish with more shiso leaves ...\n", + " * Variation 1 : Spread with butter for an anko butter sandwich .\n", + " * Variation 2 : Spread with cream cheese for an anko cheese sandwich .\n", + " * These are the crackers I used this time ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "cheese\n", + "\n", + "cheese\n", + "\n", + "\n", + "\n", + "spread1\n", + "\n", + "spread\n", + "\n", + "\n", + "\n", + "cheese->spread1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "filling\n", + "\n", + "filling\n", + "\n", + "\n", + "\n", + "mix0\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "filling->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "honey umeboshi\n", + "\n", + "honey umeboshi\n", + "\n", + "\n", + "\n", + "mix1\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "honey umeboshi->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cook0\n", + "\n", + "cook\n", + "\n", + "\n", + "\n", + "mix1->cook0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "spread0\n", + "\n", + "spread\n", + "\n", + "\n", + "\n", + "heat0\n", + "\n", + "heat\n", + "\n", + "\n", + "\n", + "cool0\n", + "\n", + "cool\n", + "\n", + "\n", + "\n", + "heat0->cool0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "garnish\n", + "\n", + "garnish\n", + "\n", + "\n", + "\n", + "garnish->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "sugar\n", + "\n", + "sugar\n", + "\n", + "\n", + "\n", + "sugar->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cook3\n", + "\n", + "cook\n", + "\n", + "\n", + "\n", + "mix2\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "cook3->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cool0->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cook0->heat0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "butter\n", + "\n", + "butter\n", + "\n", + "\n", + "\n", + "butter->spread0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "shiso leaf\n", + "\n", + "shiso leaf\n", + "\n", + "\n", + "\n", + "chop0\n", + "\n", + "chop\n", + "\n", + "\n", + "\n", + "shiso leaf->chop0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "heat2\n", + "\n", + "heat\n", + "\n", + "\n", + "\n", + "mix2->heat2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "chop0->cook3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "heat2->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "crackers\n", + "\n", + "crackers\n", + "\n", + "\n", + "\n", + "crackers->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "bean\n", + "\n", + "bean\n", + "\n", + "\n", + "\n", + "bean->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "sandwich\n", + "\n", + "sandwich\n", + "\n", + "\n", + "\n", + "sandwich->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Orange-BBQ Baked Chicken\n", + "(49d8f4d06e)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '1 cup KRAFT Spicy Honey Barbecue Sauce'\n", + " * '1 Tbsp . zest and 1/4 cup juice from 1 orange'\n", + " * '1 tsp . ground ginger'\n", + " * '1 tsp . garlic powder'\n", + " * '1/2 tsp . ground coriander'\n", + " * '1 broiler-fryer chicken \\( 4 lb . \\) , cut up'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Heat oven to 375F .\n", + " * Mix all ingredients except chicken until blended .\n", + " * Pour half into saucepan ; reserve for later use .\n", + " * Place chicken in roasting pan sprayed with cooking spray ; brush with remaining barbecue sauce mixture .\n", + " * Bake 45 to 50 min .\n", + " * or until chicken is done \\( 165F \\) .\n", + " * About 5 min .\n", + " * before chicken is done , cook reserved barbecue sauce mixture on low heat until heated through .\n", + " * Serve chicken with reserved barbecue sauce mixture ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "garlic\n", + "\n", + "garlic\n", + "\n", + "\n", + "\n", + "min\n", + "\n", + "min\n", + "\n", + "\n", + "\n", + "bake0\n", + "\n", + "bake\n", + "\n", + "\n", + "\n", + "min->bake0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "zest\n", + "\n", + "zest\n", + "\n", + "\n", + "\n", + "cook0\n", + "\n", + "cook\n", + "\n", + "\n", + "\n", + "mix1\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "cook0->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "roast\n", + "\n", + "roast\n", + "\n", + "\n", + "\n", + "mix0\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "roast->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "place1\n", + "\n", + "place\n", + "\n", + "\n", + "\n", + "mix0->place1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "ground coriander\n", + "\n", + "ground coriander\n", + "\n", + "\n", + "\n", + "sauce\n", + "\n", + "sauce\n", + "\n", + "\n", + "\n", + "brush0\n", + "\n", + "brush\n", + "\n", + "\n", + "\n", + "sauce->brush0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "place1->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "ginger\n", + "\n", + "ginger\n", + "\n", + "\n", + "\n", + "cut0\n", + "\n", + "cut\n", + "\n", + "\n", + "\n", + "pour0\n", + "\n", + "pour\n", + "\n", + "\n", + "\n", + "cut0->pour0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "brush0->cook0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "pour0->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "broiler-fryer chicken\n", + "\n", + "broiler-fryer chicken\n", + "\n", + "\n", + "\n", + "broiler-fryer chicken->cut0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "honey\n", + "\n", + "honey\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Nutella Cookies\n", + "(716bd92412)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '120 grams Butter'\n", + " * '100 grams Sugar'\n", + " * '200 grams Nutella'\n", + " * '1 whole Egg'\n", + " * '300 grams Flour'\n", + " * '2 teaspoons Baking Powder'\n", + " * '100 grams Milk Chocolate , Chopped In Small Pieces \\( or Use Chocolate Chips \\)'\n", + " * '50 grams Roasted Hazelnuts , Coarsely Chopped Or Crushed'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Preheat your oven to 180 C and line 2 baking sheets with parchment paper .\n", + " * Set aside .\n", + " * Melt the butter \\( in a saucepan over low heat or in the microwave for 30-60 seconds .\n", + " * Put the melted butter into a mixing bowl , add the sugar and beat with an electric mixer until the batter is thickened and the butter has cooled .\n", + " * Then add Nutella and the egg and combine well .\n", + " * Into a medium sized bowl sift the flour with the baking powder .\n", + " * Then fold it into the Nutella mixture .\n", + " * In the end , add the milk chocolate , chopped or chocolate morsels and the roughly crushed roasted hazelnuts .\n", + " * Using a tablespoon , scoop out the batter and roll the scoops between your hands to form cookies \\( you will get about 30 cookies \\) .\n", + " * Arrange them on the cookie sheet , spaced about 2 inches apart and bake at 180 C for about 10-12 minutes ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "beat0\n", + "\n", + "beat\n", + "\n", + "\n", + "\n", + "mix1\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "beat0->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "melt0\n", + "\n", + "melt\n", + "\n", + "\n", + "\n", + "thicken0\n", + "\n", + "thicken\n", + "\n", + "\n", + "\n", + "melt0->thicken0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "bake3\n", + "\n", + "bake\n", + "\n", + "\n", + "\n", + "thicken0->beat0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "chocolate chocolate chips\n", + "\n", + "chocolate chocolate chips\n", + "\n", + "\n", + "\n", + "chop0\n", + "\n", + "chop\n", + "\n", + "\n", + "\n", + "chocolate chocolate chips->chop0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "nutella\n", + "\n", + "nutella\n", + "\n", + "\n", + "\n", + "nutella->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "egg\n", + "\n", + "egg\n", + "\n", + "\n", + "\n", + "egg->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "hazelnuts\n", + "\n", + "hazelnuts\n", + "\n", + "\n", + "\n", + "hazelnuts->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "bake9\n", + "\n", + "bake\n", + "\n", + "\n", + "\n", + "roll\n", + "\n", + "roll\n", + "\n", + "\n", + "\n", + "roll->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "hand\n", + "\n", + "hand\n", + "\n", + "\n", + "\n", + "hand->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "sugar\n", + "\n", + "sugar\n", + "\n", + "\n", + "\n", + "sugar->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "flour\n", + "\n", + "flour\n", + "\n", + "\n", + "\n", + "flour->bake3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "gram butter\n", + "\n", + "gram butter\n", + "\n", + "\n", + "\n", + "gram butter->melt0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "baking\n", + "\n", + "baking\n", + "\n", + "\n", + "\n", + "chop0->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix1->bake9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cooky\n", + "\n", + "cooky\n", + "\n", + "\n", + "\n", + "cooky->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Bagel Breakfast Casserole\n", + "(722a2a0660)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '3 plain bagels , ripped into small pieces'\n", + " * '2 cups egg whites'\n", + " * '1 cup crumbled turkey sausage'\n", + " * '12 cup diced turkey bacon'\n", + " * '14 cup white onion , chopped'\n", + " * '34 cup low-fat cheddar cheese or 34 cup fat-free cheddar cheese'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Spray your slow cooker with no-stick cooking or baking spray .\n", + " * Put in bagel pieces .\n", + " * In a mixing bowl mix egg whites , turkey sausage , turkey bacon and onion .\n", + " * Pour over bagels .\n", + " * Top with cheddar cheese .\n", + " * Cover the top of the slow cooker with a paper towel before you put the lid on .\n", + " * Cook on high 3 hours or low for 6-7 , or until eggs are set and bacon is cooked ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "onion\n", + "\n", + "onion\n", + "\n", + "\n", + "\n", + "chop0\n", + "\n", + "chop\n", + "\n", + "\n", + "\n", + "onion->chop0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix1\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "cook0\n", + "\n", + "cook\n", + "\n", + "\n", + "\n", + "mix1->cook0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cheese\n", + "\n", + "cheese\n", + "\n", + "\n", + "\n", + "egg\n", + "\n", + "egg\n", + "\n", + "\n", + "\n", + "egg->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "bagel\n", + "\n", + "bagel\n", + "\n", + "\n", + "\n", + "bagel->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "chop0->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "low-fat\n", + "\n", + "low-fat\n", + "\n", + "\n", + "\n", + "mix3\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "pour0\n", + "\n", + "pour\n", + "\n", + "\n", + "\n", + "cook0->pour0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "pour0->mix3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "dice0\n", + "\n", + "dice\n", + "\n", + "\n", + "\n", + "dice0->mix3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "crumble turkey sausage\n", + "\n", + "crumble turkey sausage\n", + "\n", + "\n", + "\n", + "crumble turkey sausage->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "turkey bacon\n", + "\n", + "turkey bacon\n", + "\n", + "\n", + "\n", + "turkey bacon->dice0\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Mary Kays Magically Delicious Cheesecake\n", + "(29fae1e027)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '2 pounds Philadelphia Cream Cheese'\n", + " * '3/4 cups Sugar , Granulated'\n", + " * '2 whole Eggs'\n", + " * '1 teaspoon Vanilla'\n", + " * '1 Tablespoon Cornstarch'\n", + " * '1 cup Daisy Sour Cream'\n", + " * '1 package Mini Chocolate Chips , Semi-Sweet \\( Optional \\)'\n", + " * '2 packages Prepared Graham Cracker \\( or Cookie \\) Crusts'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Preheat oven to 400 degrees .\n", + " * Beat the cream cheese and sugar until smooth .\n", + " * Beat in eggs , vanilla , and cornstarch just until mixed .\n", + " * Stir in the sour cream \\( vanilla yogurt works well , too \\) until mixture is well blended .\n", + " * Add the chocolate chips if youve opted for them and just make sure theyre pretty evenly distributed .\n", + " * Pour mixture into prepared crusts and bake , side-by-side , for 45 minutes .\n", + " * Allow to cool in the oven for 3 hours , with the oven door open .\n", + " * \\( That said , I have never , ever done that .\n", + " * I just take them out and let them cool on the countertop .\n", + " * I also often pop them in the freezer to make them cool faster because were all impatient over here . \\)\n", + " * Chill before serving .\n", + " * If you make this without the chocolate chips , its really good with just some yummy strawberry preserves dolloped on top , but plain is most excellent , too .\n", + " * The cheesecakes will puff up a bit while baking , but settle again while cooling .\n", + " * Theyll brown nicely on top and we like to eat it straight out of the pan .\n", + " * Like I said , were impatient ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "open3\n", + "\n", + "open\n", + "\n", + "\n", + "\n", + "chill1\n", + "\n", + "chill\n", + "\n", + "\n", + "\n", + "open3->chill1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cracker\n", + "\n", + "cracker\n", + "\n", + "\n", + "\n", + "sugar\n", + "\n", + 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"brown\n", + "\n", + "\n", + "\n", + "cream cheese\n", + "\n", + "cream cheese\n", + "\n", + "\n", + "\n", + "cream cheese->mix7\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix0->brown1\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Seafood Won Ton Soup\n", + "(8545844ec1)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '2 large scallops'\n", + " * '1 large egg yolk'\n", + " * '4 ounces shrimp , peeled , deveined and coarsely chopped'\n", + " * '3 tablespoons light soy sauce , divided'\n", + " * '1 teaspoon shaoxing rice wine \\( yellow rice wine \\)'\n", + " * '2 tablespoons shaoxing rice wine , divided \\( yellow rice wine \\)'\n", + " * '34 teaspoon toasted sesame oil , divided'\n", + " * '1 tablespoon oyster sauce'\n", + " * '1 small garlic clove , finely chopped'\n", + " * '2 teaspoons fresh ginger , minced & divided'\n", + " * '1 pinch red pepper flakes \\( optional \\)'\n", + " * 'cornstarch , for dusting'\n", + " * '24 wonton wrappers'\n", + " * '6 cups fish stock or 6 cups chicken stock'\n", + " * '4 baby bok choy , cut lengthwise into thin strips'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * TO MAKE THE WONTONS : .\n", + " * Place the scallops in a food processor .\n", + " * Blend the scallops into a coarse puree .\n", + " * Blend in half of the egg yolk \\( discard the remaining yolk \\) .\n", + " * Transfer the scallop puree to a medium bowl .\n", + " * Stir the shrimp , cabbage , 1 tablespoon of soy sauce , 1 teaspoon rice wine , 1/4 teaspoon sesame oil , oyster sauce , 1 teaspoon ginger , red pepper flakes , \\( if using \\) and garlic into the scallop puree .\n", + " * Lightly dust a baking sheet with cornstarch .\n", + " * Place one wonton wrapper on a flat surface and place a generous teaspoon of the shrimp mixture in the center of the wonton wrapper .\n", + " * Lightly brush the edges of the wonton wrapper with a little water .\n", + " * Fold the wrappers in half , pressing the edges to seal and forming a rectangular-shaped dumpling .\n", + " * Moisten 2 folded corners with water then bring the corners together and press firmly to adhere .\n", + " * Place the wonton on the prepared baking sheet .\n", + " * Repeat with the remaining wrappers and shrimp mixture .\n", + " * TO MAKE THE SOUP : .\n", + " * Place the stock in a medium pot and bring to a boil over high heat .\n", + " * Add the remaining 2 tablespoons soy sauce , 2 tablespoons rice wine , 1 teaspoon ginger , red pepper flakes \\( if using \\) and 1/2 teaspoon sesame oil to the stock .\n", + " * Reduce the heat to a rolling simmer and add the seafood won tons .\n", + " * Allow to cook for approximately 4 minutes or until the filling is cooked through .\n", + " * Add the bok choy to the soup then ladle the soup into 4 serving bowls , dividing the bok choy and won tons evenly , and serve .\n", + " * Enjoy !" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "scallop\n", + "\n", + "scallop\n", + "\n", + "\n", + "\n", + "place1\n", + "\n", + "place\n", + "\n", + "\n", + "\n", + "scallop->place1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mince0\n", + "\n", + "mince\n", + "\n", + "\n", + "\n", + "mix2\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "mince0->mix2\n", + "\n", + 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"\n", + "\n", + "\n", + "\n", + "ton\n", + "\n", + "ton\n", + "\n", + "\n", + "\n", + "ton->mix15\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Chinese Restaurant Almond Cookies\n", + "(455322e5b6)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '2 3/4 cups sifted all-purpose flour'\n", + " * '1 cup white sugar'\n", + " * '1/2 teaspoon baking soda'\n", + " * '1/2 teaspoon salt'\n", + " * '1 cup lard'\n", + " * '1 egg'\n", + " * '1 teaspoon almond extract'\n", + " * '48 almonds'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Preheat oven to 325 degrees F \\( 165 degrees C \\) .\n", + " * Sift flour , sugar , baking soda and salt together into a bowl .\n", + " * Cut in the lard until mixture resembles cornmeal .\n", + " * Add egg and almond extract .\n", + " * Mix well .\n", + " * Roll dough into 1-inch balls .\n", + " * Set them 2 inches apart on an ungreased cookie sheet .\n", + " * Place an almond on top of each cookie and press down to flatten slightly .\n", + " * Bake in the preheated oven until the edges of the cookies are golden brown , 15 to 18 minutes ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "place0\n", + "\n", + "place\n", + "\n", + "\n", + "\n", + "mix4\n", + "\n", + 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Banana Breakfast Shake\n", + "(9957745313)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '1 large banana'\n", + " * '1 cup low-fat strawberry yogurt'\n", + " * '34 cup skim milk'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Add all ingredients together in a blender \\( i use the `` whip/liquifier '' button on the blender '' .\n", + " * Make sure it 's all blended nice and smooth and WaH-LA !" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "skim0\n", + "\n", + "skim\n", + "\n", + "\n", + "\n", + "milk\n", + "\n", + "milk\n", + "\n", + "\n", + "\n", + "milk->skim0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "nice\n", + "\n", + "nice\n", + "\n", + "\n", + "\n", + "banana\n", + "\n", + "banana\n", + "\n", + "\n", + "\n", + "low-fat strawberry\n", + "\n", + "low-fat strawberry\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Dutch Apple Pie\n", + "(afa81cf3d0)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '1- 1/2 cup All-purpose Flour'\n", + " * '1 Tablespoon Sugar'\n", + " * '2 teaspoons White Vinegar'\n", + " * '1/2 teaspoons Salt'\n", + " * '10 Tablespoons Cold Unsalted Butter , Cut Into Tablespoons'\n", + " * '4 Tablespoons Ice Water , As Needed'\n", + " * '4 Red Apples'\n", + " * '1 Green Apple'\n", + " * '1/2 whole Fresh Lemon , Juiced'\n", + " * '3/4 cups Sugar'\n", + " * '1 teaspoon Ground Cinnamon'\n", + " * '2 Tablespoons All-purpose Flour'\n", + " * '1/2 cups Light Brown Sugar , Packed'\n", + " * '1/2 cups All-purpose Flour'\n", + " * '4 Tablespoons Unsalted Butter , melted'\n", + " * '1 pinch Salt'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * For the dough : Pulse the flour , granulated sugar , vinegar , salt and 3 tablespoons of the butter in a food processor until the butter is incorporated .\n", + " * Add the remaining butter and pulse until it is in pea-size pieces .\n", + " * Add 2 tablespoons of ice water and pulse until the dough just comes together .\n", + " * Pinch a small piece of dough .\n", + " * If it doesnt hold together , add up to 2 more tablespoons ice water , pulsing to combine and adding only 1 tablespoon at a time .\n", + " * Turn the dough out onto a large piece of plastic wrap and press into a ball .\n", + " * Refrigerate until firm , at least 1 hour .\n", + " * Roll the dough into a 12-inch round on a lightly floured surface .\n", + " * Add a little more ice water here , if needed .\n", + " * Press the dough into a 9 inch pie pan and fold the overhang under itself and crimp the edges .\n", + " * Refrigerate 30 minutes .\n", + " * Meanwhile , preheat the oven to 350 F .\n", + " * Lightly pierce the bottom and sides of the crust with a fork , then top the pie with a piece of parchment paper and bake for 20 minutes .\n", + " * Then remove the parchment and continue baking about 10 more minutes or until lightly golden .\n", + " * Transfer to a rack and let cool completely .\n", + " * Meanwhile , make the crumb : Mix all of the crumb ingredients together in a medium-sized bowl and crumble it over a wax paper lined baking sheet .\n", + " * Freeze for at least 30 minutes or until ready to use .\n", + " * Then , make the filling : Peel , core , and dice the apples .\n", + " * Place them in a large bowl and stir in the lemon juice .\n", + " * Stir in the sugar , cinnamon and flour until combined .\n", + " * Let the mixture sit 5 minutes then pour it into the prepared pie crust .\n", + " * Sprinkle the crumb topping over the filling and bake for 35-40 minutes or until the top is browned .\n", + " * Let it cool then slice and serve .\n", + " * Enjoy !" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe 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KRAFT Extra Heavy Mayonnaise'\n", + " * '2-1/2 cups sour cream'\n", + " * '1-1/4 cups A.1 . Original Sauce'\n", + " * '2/3 cup KRAFT Original Barbecue Sauce'\n", + " * '1-1/4 cups Green onions , minced'\n", + " * 'to taste Coarse grind black pepper'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Beat mayonnaise , sour cream , steak sauce and barbecue sauce with wire whisk until well blended .\n", + " * Add onions and pepper ; mix well .\n", + " * Cover .\n", + " * Refrigerate at least 2 hours for flavors to blend ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "sauce\n", + "\n", + "sauce\n", + "\n", + "\n", + "\n", + "sour0\n", + "\n", + "sour\n", + "\n", + "\n", + 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cups cauliflower florets'\n", + " * '3 bell peppers , cut lengthwise \\( red , yellow , orange \\)'\n", + " * '1 bunch asparagus , trimmed and cut in half or 1 lb asparagus'\n", + " * '2 tablespoons extra virgin olive oil'\n", + " * '14 teaspoon salt'\n", + " * '14 teaspoon pepper'\n", + " * '6 cups arugula'\n", + " * '3 garlic cloves \\( grated or minced \\)'\n", + " * '1 teaspoon finely grated lemon rind'\n", + " * '2 tablespoons lemon juice'\n", + " * '1 tablespoon light mayonnaise'\n", + " * '1 teaspoon Dijon mustard'\n", + " * '12 teaspoon Worcestershire sauce'\n", + " * '1 teaspoon anchovy paste'\n", + " * '3 tablespoons extra virgin olive oil'\n", + " * '1 pinch salt'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Preheat oven to 425 degrees .\n", + " * Line a large baking sheet with parchment paper or foil \\( optional \\) .\n", + " * Spread cauliflower , red , yellow and orange peppers and asparagus onto prepared baking sheet .\n", + " * Drizzle with olive oil , sprinkle with salt and pepper and toss to coat .\n", + " * Roast in centre of preheated oven for 30-45 minutes or until lightly browned and softened .\n", + " * Garlic Dressing : In a bowl , stir together garlic , lemon rind and juice .\n", + " * Whisk in mayo , mustard , Worcestershire sauce , and anchovy paste until smooth .\n", + " * Gradually add olive oil , whisking until mixture is emulsified .\n", + " * Stir in salt .\n", + " * Spread arugula onto platter and toss with 1 TBS of the dressing .\n", + " * Toss 3 TBS of dressing with roasted vegetables and spread over arugula .\n", + " * Serve salad warm or at room temperature , adding remaining salad dressing just before serving as needed ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + 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"\n", + "\n", + "anchovy->mix5\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Sandwich Press Recipe - Broccoli and Cheese\n", + "(e9495814a7)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '2 slices white bread , buttered on one side'\n", + " * '1 slice American cheese'\n", + " * '1 tablespoon shredded cheddar cheese'\n", + " * 'garlic'\n", + " * 'olive oil'\n", + " * '1 tablespoon chopped broccoli , flavored with garlic and olive oil'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Heat sandwich press .\n", + " * Chop broccoli into small pieces .\n", + " * Place one slice of buttered bread , butter side down .\n", + " * Place cheese slice , topped with chopped broccoli , topped with shredded cheddar on bread slice .\n", + " * Top with second piece of bread butter side up .\n", + " * Close press and let cook 5 minutes or until golden brown and crispy ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "brown2\n", + "\n", + "brown\n", + "\n", + "\n", + "\n", + "brown0\n", + "\n", + "brown\n", + "\n", + "\n", + "\n", + "cheese\n", + "\n", + "cheese\n", + "\n", + "\n", + "\n", + "bread\n", + "\n", + "bread\n", + "\n", + "\n", + "\n", + "brown1\n", + "\n", + "brown\n", + "\n", + "\n", + "\n", + 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"\n", + "\n", + "chop1->slice1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "slice0->cook0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "sandwich\n", + "\n", + "sandwich\n", + "\n", + "\n", + "\n", + "sandwich->heat0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "broccoli\n", + "\n", + "broccoli\n", + "\n", + "\n", + "\n", + "broccoli->chop1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cook2->brown2\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Blueberry Pancakes\n", + "(3ff4d8cd4c)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '1 cup flour'\n", + " * '1 tbsp baking powder'\n", + " * '1 tsp cinnamon'\n", + " * '1/4 cup agave nectar'\n", + " * '1 cup milk'\n", + " * '1 egg ,'\n", + " * '3/4 cup fresh or frozen blueberries'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Mix flour , cinnamon , and baking powder in large bowl\n", + " * Add egg , oil , milk , and agave\n", + " * Blend until moist .\n", + " * Batter will be slightly lumpy .\n", + " * Add blueberries , mix slightly\n", + " * Heat griddle until a splatter of water dances on it .\n", + " * Pour batter , 2 tablespoon per pancake\n", + " * Heat until most of the bubbles around the edge have popped , about 2 or three minutes\n", + " * Flip and cook 2 minutes more\n", + " * Serve warm with butter and syrup ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "mix2\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "warm1\n", + "\n", + "warm\n", + "\n", + "\n", + "\n", + "mix2->warm1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix9\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "warm1->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix1\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "cook0\n", + "\n", + "cook\n", + "\n", + "\n", + "\n", + "mix1->cook0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cook0->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "heat0\n", + "\n", + "heat\n", + "\n", + "\n", + "\n", + "heat0->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "heat1\n", + "\n", + "heat\n", + "\n", + "\n", + "\n", + "pour0\n", + "\n", + "pour\n", + "\n", + "\n", + "\n", + "heat1->pour0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix4\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "cook5\n", + 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], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '10 ounce . pkg . frzn broccoli , thawed'\n", + " * '1 can cream of mushroom soup'\n", + " * '1 can cream of celery soup'\n", + " * '18 ounce . Merkts cheese'\n", + " * '1 can \\( soup can \\) Minute Rice'\n", + " * '1 soup can water'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Heat the soups ; add in cheese .\n", + " * Add in remaining ingredients .\n", + " * Put in a 2 qt casserole dish .\n", + " * Bake at 350 degrees for 45-55 min ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "min\n", + "\n", + "min\n", + "\n", + "\n", + "\n", + "bake0\n", + "\n", + "bake\n", + "\n", + "\n", + "\n", + "min->bake0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mushroom soup\n", + "\n", + "mushroom soup\n", + "\n", + "\n", + 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Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '2 teaspoons vegetable oil'\n", + " * '4 boneless skinless chicken breast halves'\n", + " * '12 cup Russian salad dressing'\n", + " * '12 cup apricot jam'\n", + " * '3 tablespoons dry onion soup mix'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Preheat oven to 350 .\n", + " * Heat oil in large skillet over a medium-high heat .\n", + " * Add chicken ; cook 4 minutes on each side or until browned .\n", + " * Remove chicken and place in a 3-L baking dish .\n", + " * Miz dressing , jam and soup mix in a small bowl .\n", + " * Pour over chicken .\n", + " * Bake 45 minutes or until chicken is cooked through ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "mix1\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "bake0\n", + "\n", + "bake\n", + "\n", + "\n", + "\n", + "mix2\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "bake0->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "apricot jam\n", + "\n", + "apricot jam\n", + "\n", + "\n", + "\n", + "apricot jam->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "chicken breast half\n", + "\n", + "chicken breast half\n", + "\n", + "\n", + "\n", + "pour0\n", + "\n", + "pour\n", + "\n", + "\n", + "\n", + "chicken breast half->pour0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "heat0\n", + "\n", + "heat\n", + "\n", + "\n", + "\n", + "heat0->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "vegetable oil\n", + "\n", + "vegetable oil\n", + "\n", + "\n", + "\n", + "vegetable oil->heat0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "salad dress\n", + "\n", + "salad dress\n", + "\n", + "\n", + "\n", + "salad dress->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "pour0->bake0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "onion soup\n", + "\n", + "onion soup\n", + "\n", + "\n", + "\n", + "onion soup->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Chesapeake Bay Crab Cakes\n", + "(928979291c)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '14 cup minced onion'\n", + " * '2 tablespoons minced green bell peppers'\n", + " * '14 cup butter or 14 cup margarine , melted'\n", + " * '1 lb fresh crabmeat , drained and flaked'\n", + " * '34 cup fine dry breadcrumb'\n", + " * '1 egg , beaten'\n", + " * '1 tablespoon mayonnaise'\n", + " * '1 tablespoon dried parsley flakes'\n", + " * '1 tablespoon lemon juice'\n", + " * '1 teaspoon Worcestershire sauce'\n", + " * '1 teaspoon Old Bay Seasoning'\n", + " * '1 teaspoon dry mustard'\n", + " * '1 dash cayenne pepper'\n", + " * '14-12 cup fine dry breadcrumb'\n", + " * 'vegetable oil'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Saute onion and green pepper in butter until tender .\n", + " * Remove from heat ; stir in crabmeat and next 9 ingredients .\n", + " * Mix well , and shape into 8 patties .\n", + " * Coat with additional breadcrumbs .\n", + " * Pour oil to a depth of 1/4-inch into a heavy skillet .\n", + " * Fry cakes in hot oil \\( 375 degrees \\) for 4-5 minutes on each side ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "green\n", + "\n", + "green\n", + "\n", + "\n", + "\n", + "mix4\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "green->mix4\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cayenne pepper\n", + "\n", + "cayenne pepper\n", + "\n", + "\n", + "\n", + "sauce\n", + "\n", + "sauce\n", + "\n", + "\n", + "\n", + "mustard\n", + "\n", + "mustard\n", + "\n", + "\n", + "\n", + "crabmeat\n", + "\n", + "crabmeat\n", + "\n", + "\n", + "\n", + "drain0\n", + "\n", + "drain\n", + "\n", + "\n", + "\n", + "crabmeat->drain0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "pour0\n", + "\n", + "pour\n", + "\n", + "\n", + "\n", + "mix0\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "pour0->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix1\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "beat0\n", + "\n", + "beat\n", + "\n", + "\n", + "\n", + "mince1\n", + "\n", + "mince\n", + "\n", + "\n", + "\n", + "mix4->mince1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "parsley\n", + "\n", + "parsley\n", + "\n", + "\n", + "\n", + "lemon juice\n", + "\n", + "lemon juice\n", + "\n", + "\n", + "\n", + "heat0\n", + "\n", + "heat\n", + "\n", + "\n", + "\n", + "heat0->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "onion\n", + "\n", + "onion\n", + "\n", + "\n", + "\n", + "onion->mix4\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "egg\n", + "\n", + "egg\n", + "\n", + "\n", + "\n", + "egg->beat0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "melt0\n", + "\n", + "melt\n", + "\n", + "\n", + "\n", + "mix2\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "melt0->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "fry0\n", + "\n", + "fry\n", + "\n", + "\n", + "\n", + "mix0->fry0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cake\n", + "\n", + "cake\n", + "\n", + "\n", + "\n", + "cake->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "butter\n", + "\n", + "butter\n", + "\n", + "\n", + "\n", + "butter->melt0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "saute2\n", + "\n", + "saute\n", + "\n", + "\n", + "\n", + "saute2->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "breadcrumb\n", + "\n", + "breadcrumb\n", + "\n", + "\n", + "\n", + "vegetable oil\n", + "\n", + "vegetable oil\n", + "\n", + "\n", + "\n", + "vegetable oil->pour0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix2->saute2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "drain0->heat0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mince1->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "seasoning\n", + "\n", + "seasoning\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Beer Brined Baby Back Ribs With Honey Bbq Sauce\n", + "(14929f5999)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '4 lbs pork baby back ribs'\n", + " * '36 ounces beer'\n", + " * '3 tablespoons kosher salt'\n", + " * '3 tablespoons packed brown sugar'\n", + " * '1 tablespoon celery seed'\n", + " * '1 tablespoon cayenne pepper'\n", + " * '1 12 teaspoons black pepper'\n", + " * '1 teaspoon liquid smoke \\( optional \\)'\n", + " * '23 cup finely chopped onion'\n", + " * '2 -3 cloves garlic , minced'\n", + " * '2 tablespoons oil'\n", + " * '1 12 cups Heinz Chili Sauce'\n", + " * '1 cup beer'\n", + " * '12 cup honey'\n", + " * '14 cup Worcestershire sauce'\n", + " * '2 tablespoons prepared yellow mustard'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Prepare your ribs by rinsing them off and removing the membrane on the back \\( slide a sharp knife under there to loosen it , then grab it with something dry like a paper towel and pull it off \\) .\n", + " * You may cut your ribs into sections before brining , if desired .\n", + " * Mix together beer , salt , brown sugar , celery seed , cayenne pepper , black pepper and liquid smoke in a saucepan .\n", + " * Heat over low heat , stirring gently until all the salt dissolves ; allow to cool .\n", + " * Place rib sections in a large ziplock or resealable bag and pour the cooled brine over ; squeeze out as much air as possible and seal the bag .\n", + " * Allow the ribs to brine in this mixture , for 6 hours or overnight , rotating bag occasionally .\n", + " * Prior to cooking , remove ribs from brine and pat dry ; discard used brine .\n", + " * Using a drip pan , prepare a grill for indirect cooking .\n", + " * Place the ribs over the drip pan and grill using indirect medium heat \\( test by placing your hand over the heat- you should be able to keep it there for about 3 seconds \\) .\n", + " * Cover grill and cook for 1 1/2- 1 3/4 hours or until the ribs are tender , and the meat has pulled back from the edges of the bone slightly .\n", + " * Add additional coals during cooking if needed .\n", + " * Baste with honey bbq sauce during the last minutes of cooking , allowing the sauce to set .\n", + " * To make the sauce , cook onion and garlic in oil in a small saucepan until the onions become tender .\n", + " * Add the chili sauce , beer , honey , Worcestershire sauce and mustard to the pan , stirring to mix well .\n", + " * Bring sauce to a boil , then lower heat and simmer for about 20 minutes , stirring occasionally , or until it is as thick as you like it .\n", + " * Use sauce on ribs as a baste ; sauce can be prepared ahead ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "celery seed\n", + "\n", + "celery seed\n", + "\n", + "\n", + "\n", + "mix4\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "celery seed->mix4\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "membrane\n", + "\n", + "membrane\n", + "\n", + "\n", + "\n", + "rinse0\n", + "\n", + "rinse\n", + "\n", + "\n", + "\n", + "membrane->rinse0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "pour0\n", + "\n", + "pour\n", + "\n", + "\n", + "\n", + "mix3\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "pour0->mix3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "heat1\n", + "\n", + "heat\n", + "\n", + "\n", + "\n", + "mix1\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "heat1->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "clove garlic\n", + "\n", + "clove garlic\n", + "\n", + "\n", + "\n", + "mince0\n", + "\n", + "mince\n", + "\n", + "\n", + "\n", + "clove garlic->mince0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "chop0\n", + "\n", + "chop\n", + "\n", + "\n", + "\n", + "chop0->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "hand\n", + "\n", + "hand\n", + "\n", + "\n", + "\n", + "place0\n", + "\n", + "place\n", + "\n", + "\n", + "\n", + "hand->place0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mustard\n", + "\n", + "mustard\n", + "\n", + "\n", + "\n", + "mix9\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "mustard->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "sauce\n", + "\n", + "sauce\n", + "\n", + "\n", + "\n", + "kosher salt\n", + "\n", + "kosher salt\n", + "\n", + "\n", + "\n", + "mix0\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "kosher salt->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cut0\n", + "\n", + "cut\n", + "\n", + "\n", + "\n", + "place1\n", + "\n", + "place\n", + "\n", + "\n", + "\n", + "cut0->place1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix2\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "baste0\n", + "\n", + "baste\n", + "\n", + "\n", + "\n", + "mix2->baste0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "beer\n", + "\n", + "beer\n", + "\n", + "\n", + "\n", + "beer->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "meat\n", + "\n", + "meat\n", + "\n", + "\n", + "\n", + "meat->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "heat0\n", + "\n", + "heat\n", + "\n", + "\n", + "\n", + "heat0->mix3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mince0->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "baste0->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "liquid smoke\n", + "\n", + "liquid smoke\n", + "\n", + "\n", + "\n", + "liquid smoke->mix4\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cook1\n", + "\n", + "cook\n", + "\n", + "\n", + "\n", + "cook1->heat0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "chili sauce\n", + "\n", + "chili sauce\n", + "\n", + "\n", + "\n", + "chili sauce->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "honey\n", + "\n", + "honey\n", + "\n", + "\n", + "\n", + "honey->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "sugar\n", + "\n", + "sugar\n", + "\n", + "\n", + "\n", + "pork\n", + "\n", + "pork\n", + "\n", + "\n", + "\n", + "brown1\n", + "\n", + "brown\n", + "\n", + "\n", + "\n", + "brown1->mix3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "grill0\n", + "\n", + "grill\n", + "\n", + "\n", + "\n", + "grill0->cook1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "grill3\n", + "\n", + "grill\n", + "\n", + "\n", + "\n", + "place0->grill3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix4->brown1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cook0\n", + "\n", + "cook\n", + "\n", + "\n", + "\n", + "cook0->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "tablespoon oil\n", + "\n", + "tablespoon oil\n", + "\n", + "\n", + "\n", + "tablespoon oil->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix1->cook0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "grill5\n", + "\n", + "grill\n", + "\n", + "\n", + "\n", + "mix3->grill5\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "onion\n", + "\n", + "onion\n", + "\n", + "\n", + "\n", + "onion->chop0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cooking\n", + "\n", + "cooking\n", + "\n", + "\n", + "\n", + "cooking->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "black pepper\n", + "\n", + "black pepper\n", + "\n", + "\n", + "\n", + "mix0->grill0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "rib\n", + "\n", + "rib\n", + "\n", + "\n", + "\n", + "rib->cut0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "place1->mix3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "grill5->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "grill3->heat1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cayenne pepper\n", + "\n", + "cayenne pepper\n", + "\n", + "\n", + "\n", + "cayenne pepper->mix4\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "rinse0->pour0\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## South Beach Gazpacho\n", + "(06e0fade8e)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '1 cup tomato juice or 1 cup vegetable juice'\n", + " * '12 cup fresh tomato , peeled , seeded , finely chopped'\n", + " * '3 14 tablespoons celery , finely chopped'\n", + " * '3 14 tablespoons cucumbers , finely chopped'\n", + " * '3 14 tablespoons green bell peppers , finely chopped'\n", + " * '3 14 tablespoons green onions , finely chopped'\n", + " * '1 14 tablespoons white wine vinegar'\n", + " * '34 tablespoon extra virgin olive oil'\n", + " * '13 large garlic clove , minced'\n", + " * '34 teaspoon fresh flat-leaf parsley , finely chopped'\n", + " * '14 teaspoon salt'\n", + " * '14 teaspoon Worcestershire sauce \\( use a vegetarian version if making this vegetarian or vegan \\)'\n", + " * '14 teaspoon black pepper , freshly ground'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Combine all ingredients in a glass or stainless steel bowl .\n", + " * Cover and refrigerate overnight ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "garlic clove\n", + "\n", + "garlic clove\n", + "\n", + "\n", + "\n", + "mince0\n", + "\n", + "mince\n", + "\n", + "\n", + "\n", + "garlic clove->mince0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cucumber\n", + "\n", + "cucumber\n", + "\n", + "\n", + "\n", + "chop2\n", + "\n", + "chop\n", + "\n", + "\n", + "\n", + "cucumber->chop2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "olive oil\n", + "\n", + "olive oil\n", + "\n", + "\n", + "\n", + "tomato\n", + "\n", + "tomato\n", + "\n", + "\n", + "\n", + "chop0\n", + "\n", + "chop\n", + "\n", + "\n", + "\n", + "tomato->chop0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "peel0\n", + "\n", + "peel\n", + "\n", + "\n", + "\n", + "chop0->peel0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "flat-leaf parsley\n", + "\n", + "flat-leaf parsley\n", + "\n", + "\n", + "\n", + "chop5\n", + "\n", + "chop\n", + "\n", + "\n", + "\n", + "flat-leaf parsley->chop5\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "black pepper\n", + "\n", + "black pepper\n", + "\n", + "\n", + "\n", + "green onion\n", + "\n", + "green onion\n", + "\n", + "\n", + "\n", + "chop4\n", + "\n", + "chop\n", + "\n", + "\n", + "\n", + "green onion->chop4\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "juice vegetable juice\n", + "\n", + "juice vegetable juice\n", + "\n", + "\n", + "\n", + "celery\n", + "\n", + "celery\n", + "\n", + "\n", + "\n", + "chop1\n", + "\n", + "chop\n", + "\n", + "\n", + "\n", + "celery->chop1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "green\n", + "\n", + "green\n", + "\n", + "\n", + "\n", + "chop3\n", + "\n", + "chop\n", + "\n", + "\n", + "\n", + "green->chop3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "sauce\n", + "\n", + "sauce\n", + "\n", + "\n", + "\n", + "white wine vinegar\n", + "\n", + "white wine vinegar\n", + "\n", + "\n", + "\n", + "salt\n", + "\n", + "salt\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Grilled Crazy Chicken\n", + "(d502942c9a)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '2 cups water'\n", + " * '4 teaspoons salt'\n", + " * '2 teaspoons pepper'\n", + " * '1 clove garlic'\n", + " * '1 teaspoon yellow food coloring'\n", + " * '2 tablespoons pineapple juice'\n", + " * '1 teaspoon lime juice'\n", + " * '1 chicken , halved or quartered'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * In a blender , combine the water , salt , pepper , garlic and food coloring .\n", + " * Blend on high speed for about 15 seconds .\n", + " * Add the pineapple juice and the lime juice to the marinade and blend for another 5 seconds .\n", + " * Pour the marinade into a bowl and let the chicken marinate for 45 minutes .\n", + " * Turn the chicken over and let it soak for another 30 minutes .\n", + " * Fire up the barbie \\( that means heat up the grill , not aim a flame-thrower at your daughter 's prized doll \\) .\n", + " * Broil the chicken on the open grill for about 45 minutes to 1 hour , until the skin is a nice golden brown and crispy .\n", + " * Make sure the flames do n't scorch the chicken , or you are going to get black skin and raw chicken .\n", + " * If using a gas grill , lower the heat if necessary and be patient , that chicken need slow cooking .\n", + " * If you are using a charcoal grill , you can spray a little water on the charcoal to keep the flames at bay .\n", + " * Turn the chicken often as it cooks .\n", + " * Cut the chicken into 8 pieces .\n", + " * Make sure to cut the breast in half and the thighs from the legs ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "pepper\n", + "\n", + "pepper\n", + "\n", + "\n", + "\n", + "mix2\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "pepper->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "chicken\n", + "\n", + "chicken\n", + "\n", + "\n", + "\n", + "broil0\n", + "\n", + "broil\n", + "\n", + "\n", + "\n", + "chicken->broil0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "scorch0\n", + "\n", + "scorch\n", + "\n", + "\n", + "\n", + "broil0->scorch0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "marinade\n", + "\n", + "marinade\n", + "\n", + "\n", + "\n", + "mix1\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "marinade->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "water\n", + "\n", + "water\n", + "\n", + "\n", + "\n", + "water->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "breast\n", + "\n", + "breast\n", + "\n", + "\n", + "\n", + "cut0\n", + "\n", + "cut\n", + "\n", + "\n", + "\n", + "breast->cut0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix4\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "lime juice\n", + "\n", + "lime juice\n", + "\n", + "\n", + "\n", + "heat0\n", + "\n", + "heat\n", + "\n", + "\n", + "\n", + "grill1\n", + "\n", + "grill\n", + "\n", + "\n", + "\n", + "heat0->grill1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "skin\n", + "\n", + "skin\n", + "\n", + "\n", + "\n", + "open0\n", + "\n", + "open\n", + "\n", + "\n", + "\n", + "skin->open0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "clove garlic\n", + "\n", + "clove garlic\n", + "\n", + "\n", + "\n", + "clove garlic->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "pineapple juice\n", + "\n", + "pineapple juice\n", + "\n", + "\n", + "\n", + "pineapple juice->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "grill3\n", + "\n", + "grill\n", + "\n", + "\n", + "\n", + "heat1\n", + "\n", + "heat\n", + "\n", + "\n", + "\n", + "grill3->heat1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "salt\n", + "\n", + "salt\n", + "\n", + "\n", + "\n", + "salt->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "doll\n", + "\n", + "doll\n", + "\n", + "\n", + "\n", + "doll->heat0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cut1\n", + "\n", + "cut\n", + "\n", + "\n", + "\n", + "heat1->cut1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "pour0\n", + "\n", + "pour\n", + "\n", + "\n", + "\n", + "mix1->pour0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "scorch0->grill3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "grill0\n", + "\n", + "grill\n", + "\n", + "\n", + "\n", + "grill0->mix4\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix0\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "mix0->grill0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "open0->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "blend1\n", + "\n", + "blend\n", + "\n", + "\n", + "\n", + "mix2->blend1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cut1->mix4\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "pour0->mix4\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "blend1->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Whole Wheat Sables Recipe\n", + "(e340efafd1)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '1 cup all-purpose flour'\n", + " * '3/4 cup whole wheat flour'\n", + " * '2 sticks \\( 8 ounces \\) unsalted butter , softened'\n", + " * '1/2 cup granulated sugar'\n", + " * '1 teaspoon vanilla extract'\n", + " * '1/4 teaspoon kosher salt'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Whisk flours together until evenly mixed ; set aside .\n", + " * In a medium bowl , with the back of a large spoon or with an electric mixer , beat butter with sugar , vanilla , and salt for about 1 minute , until smooth and creamy but not fluffy .\n", + " * Add flour and mix just until incorporated .\n", + " * Turn off the mixer , scrape down the bowl , form dough into a ball , and , if necessary , knead it with your hands a few times until smooth .\n", + " * Form into a 12-by-2-inch log .\n", + " * Wrap and refrigerate for at least 2 hours or overnight .\n", + " * Heat the oven to 350 degrees F and arrange the racks in the lower and upper third .\n", + " * Use a sharp knife to cut the cold dough log into 1/4-inch-thick slices .\n", + " * Place cookies at least 1 1/2 inches apart on ungreased baking sheets .\n", + " * Bake cookies until light golden brown at the edges , about 12 to 14 minutes , rotating the baking sheets from top to bottom and front to back halfway through baking .\n", + " * Remove from the oven and let cookies firm up on the pans for about 1 minute , then transfer them to a rack and let cool completely ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "mix3\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "beat1\n", + "\n", + "beat\n", + "\n", + "\n", + "\n", + "mix3->beat1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "knead0\n", + "\n", + "knead\n", + "\n", + "\n", + "\n", + "mix2\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "knead0->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "refrigerate0\n", + "\n", + "refrigerate\n", + "\n", + "\n", + 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"\n", + "\n", + "\n", + "place0->bake0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "pan\n", + "\n", + "pan\n", + "\n", + "\n", + "\n", + "pan->mix6\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "beat1->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cut0\n", + "\n", + "cut\n", + "\n", + "\n", + "\n", + "cut0->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "heat0->cut0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "flour\n", + "\n", + "flour\n", + "\n", + "\n", + "\n", + "flour->whisk0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "wheat flour\n", + "\n", + "wheat flour\n", + "\n", + "\n", + "\n", + "refrigerate5->heat1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "dough\n", + "\n", + "dough\n", + "\n", + "\n", + "\n", + "dough->refrigerate0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "kosher salt\n", + "\n", + "kosher salt\n", + "\n", + "\n", + "\n", + "kosher salt->mix3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "butter\n", + "\n", + "butter\n", + "\n", + "\n", + "\n", + "butter->mix3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "vanilla extract\n", + "\n", + "vanilla extract\n", + "\n", + "\n", + "\n", + "vanilla extract->mix3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cooky\n", + "\n", + "cooky\n", + "\n", + "\n", + "\n", + "cooky->place0\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Spanakopita\n", + "(bc10b7dccb)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '3 cups chopped yellow onions \\( 2 onions \\)'\n", + " * '2 teaspoons kosher salt'\n", + " * '1 12 teaspoons fresh ground black pepper'\n", + " * '3 \\( 10 ounce \\) packages frozen chopped spinach , defrosted'\n", + " * '6 extra-large eggs , beaten'\n", + " * '2 teaspoons grated nutmeg'\n", + " * '12 cup freshly grated parmesan cheese'\n", + " * '3 tablespoons dry plain breadcrumbs'\n", + " * '12 lb feta cheese , cut into 1/2-inch cubes'\n", + " * '12 cup pine nuts \\( pignoli \\)'\n", + " * '14 lb salted butter , melted'\n", + " * '6 sheets phyllo dough , defrosted'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Preheat the over to 375 degrees .\n", + " * In a medium saute pan on medium heat , saute the onions with the olive oil until translucent and slightly browned , 10 to 15 minutes .\n", + " * Add the salt and pepper and allow to cool slightly .\n", + " * Squeeze out and discard as much of the liquid from the spinach as possible .\n", + " * Put the spinach into a bowl and then gently mix in the onions , egg , nutmeg , Parmesan cheese , bread crumbs , feta and pignoli .\n", + " * Butter an ovenproof , non-stick , 8-inch saute pan and line it with 6 stacked sheets of phyllo dough , brushing each with melted butter and letting the edges hang over the pan .\n", + " * Pour the spinach mixture into the middle of the phyllo and neatly fold the edges up and over the top to seal in the filling .\n", + " * Brush the top well with melted butter .\n", + " * Bake for 1 hour , until the top is golden brown and the filling is set .\n", + " * Remove from the oven and allow to cool completely .\n", + " * Serve at room temperature ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "pour0\n", + "\n", + "pour\n", + "\n", + "\n", + "\n", + "mix1\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", 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"data": { + "text/markdown": [ + "## Sweet Potato-Pecan Burgers with Caramelized Onions\n", + "(b243eacd36)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * 'Onions :'\n", + " * '1 teaspoon canola oil'\n", + " * '3 cups sliced onion'\n", + " * '2 tablespoons balsamic vinegar'\n", + " * '1 teaspoon sugar'\n", + " * '1/8 teaspoon salt'\n", + " * 'Burgers :'\n", + " * '2 1/2 cups \\( 1/2-inch \\) cubed peeled sweet potato'\n", + " * 'Cooking spray'\n", + " * '2 1/2 cups chopped onion'\n", + " * '3 garlic cloves'\n", + " * '1 cup regular oats'\n", + " * '1 1/2 teaspoons ground cumin'\n", + " * '3/4 teaspoon salt'\n", + " * '1/4 teaspoon pepper'\n", + " * '1/2 cup chopped pecans , toasted'\n", + " * '1 tablespoon canola oil , divided'\n", + " * '6 Boston lettuce leaves'\n", + " * '6 \\( 1 1/2-ounce \\) 100 % whole wheat or whole-grain buns'\n", + " * '6 chili sauce'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * 1 .\n", + " * To prepare onions , heat 1 teaspoon oil in a large nonstick skillet over medium-high heat .\n", + " * Add sliced onion to pan ; saute 12 minutes or until browned , stirring occasionally .\n", + " * Stir in vinegar , sugar , and 1/8 teaspoon salt ; cook 30 seconds or until vinegar is absorbed .\n", + " * Remove onion mixture from pan ; keep warm .\n", + " * Wipe pan dry with a paper towel.2 .\n", + " * To prepare burgers , place potato in a large saucepan ; cover with water .\n", + " * Bring to a boil .\n", + " * Reduce heat , and simmer 15 minutes or until tender ; drain.3 .\n", + " * Heat large nonstick skillet over medium-high heat .\n", + " * Coat pan with cooking spray .\n", + " * Add chopped onion and garlic to pan ; saute 5 minutes or until tender.4 .\n", + " * Place potato , chopped onion mixture , oats , cumin , 3/4 teaspoon salt , and pepper in a food processor ; process until smooth .\n", + " * Place potato mixture in a large bowl ; stir in nuts .\n", + " * Divide potato mixture into 6 equal portions , shaping each into a 1/2-inch-thick patty.5 .\n", + " * Wipe pan dry with a paper towel .\n", + " * Heat 1 1/2 teaspoons oil in pan over medium-high heat .\n", + " * Add 3 patties to pan ; cook 4 minutes or until browned .\n", + " * Carefully turn patties over ; cook 3 minutes or until browned .\n", + " * Remove from pan ; keep warm .\n", + " * Repeat procedure with remaining 1 1/2 teaspoons oil and 3 patties .\n", + " * Place lettuce leaves and patties on bottom halves of buns ; top each patty with 1 tablespoon chili sauce , about 3 tablespoons onion , and top halves of buns ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "heat4\n", + "\n", + "heat\n", + "\n", + "\n", + "\n", + "simmer3\n", + "\n", + "simmer\n", + "\n", + "\n", + "\n", + "heat4->simmer3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "simmer0\n", + "\n", + "simmer\n", + "\n", + "\n", + "\n", + "wipe9\n", + "\n", + "wipe\n", + "\n", + "\n", + "\n", + "simmer0->wipe9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "wipe8\n", + "\n", + "wipe\n", + "\n", + "\n", + "\n", + "boil6\n", + "\n", + "boil\n", + "\n", + "\n", + "\n", + "wipe8->boil6\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "warm5\n", + "\n", + "warm\n", + "\n", + "\n", + "\n", + "mix9\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "warm5->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "heat5\n", + "\n", + "heat\n", + "\n", + "\n", 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"\n", + "\n", + "\n", + "nut\n", + "\n", + "nut\n", + "\n", + "\n", + "\n", + "nut->mix6\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "onions\n", + "\n", + "onions\n", + "\n", + "\n", + "\n", + "lettuce leaf\n", + "\n", + "lettuce leaf\n", + "\n", + "\n", + "\n", + "lettuce leaf->mix3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "heat2->simmer0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "wipe7->boil5\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Power Packed Breakfast\n", + "(4391b6a54c)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '2 slices whole wheat bread'\n", + " * '1 apple , favorite variety'\n", + " * '1 pear , favorite variety'\n", + " * '2 tablespoons almond butter'\n", + " * 'chopped almonds , roasted \\( optional \\)'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Toast bread .\n", + " * Meanwhile , core and slice pear and apple 1/4-inch thick .\n", + " * Spread toast with almond butter , top with apple and pear slices , and garnish with .\n", + " * chopped almonds if desired .\n", + " * Eat and go !\n", + " * Note .\n", + " * To roast chopped almonds , preheat oven to 350F Roast 4-6 minutes , until light brown ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "almond\n", + "\n", 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"display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '1 12 cups margarine , softened'\n", + " * '1 14 granulated sugar'\n", + " * '1 14 brown sugar'\n", + " * '1 tablespoon vanilla'\n", + " * '2 eggs'\n", + " * '4 cups unbleached all-purpose flour'\n", + " * '2 teaspoons baking soda'\n", + " * '12 teaspoon salt'\n", + " * '2 cups semi-sweet chocolate chips'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Heat oven to 350F .\n", + " * Beat butter , sugars , vanilla , and eggs on medium speed or with a spoon until light and fluffy in a large bowl .\n", + " * Stir in flour , baking soda and salt \\( dough will be stiff \\) .\n", + " * Stir in chocolate chips .\n", + " * On ungreesed cookie sheet , drop dough by tablespoonfuls 2 inches apart .\n", + " * \\( Flatten slightly \\) .\n", + " * Bake 11 to 13 minutes or until light brown \\( centers will be soft \\) .\n", + " * Cool for 1 to 2 minutes ; remove from cookie sheet to cooling rack or plate .\n", + " * Serving : 6 dozen -- So cook some then refrigerate the rest for another day !" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "bake4\n", + "\n", + "bake\n", + "\n", + "\n", + "\n", + "brown7\n", + "\n", + "brown\n", + "\n", + "\n", + "\n", + "bake4->brown7\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "beat1\n", + "\n", + "beat\n", + "\n", + "\n", + "\n", + "mix0\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "beat1->mix0\n", + "\n", + "\n", + "\n", + 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+ "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Grilled Trout with Herbs and Citrus-Nut Oil Dressing\n", + "(2b331955cd)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '4 boneless trout , each about 8 to 9 ounces , cleaned'\n", + " * 'Kosher or sea salt and freshly ground black pepper'\n", + " * '2 tablespoons unsalted butter , thinly sliced'\n", + " * '1 shallot , minced'\n", + " * '2 tablespoons chopped fresh tarragon leaves'\n", + " * 'Extra-virgin olive oil'\n", + " * '2 tablespoons white wine vinegar'\n", + " * '2 teaspoons finely grated orange zest \\( from 1 small orange \\)'\n", + " * '1/2 teaspoon kosher salt'\n", + " * 'Freshly ground black pepper to taste'\n", + " * '1/4 cup hazelnut oil'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Heat an outdoor grill or preheat a grill pan to high .\n", + " * Pat the fish very dry with with paper or kitchen towels .\n", + " * Season the inside of each trout with salt and pepper , to taste .\n", + " * Stuff each fish with a quarter of the butter , shallots and tarragon .\n", + " * Tie the fish closed with kitchen twine , dental floss , or thread the fish closed with a skewer .\n", + " * Brush the fish lightly with oil .\n", + " * Season the outside of the fish with generously with salt and the pepper , to taste .\n", + " * Grill the trout until an instant-read thermometer inserted into the thickest part of the fish registers 125 degrees F , turning once , about 5 minutes per side .\n", + " * Set aside for 5 minutes before serving .\n", + " * Meanwhile make the dressing : Put the vinegar , orange zest , salt and pepper in a medium bowl .\n", + " * Gradually whisk in the oil to make a dressing .\n", + " * Snip off the string or remove the skewer and serve each fish drizzled with some of the dressing ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "grate0\n", + "\n", + "grate\n", + "\n", + "\n", + "\n", + "mix9\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "grate0->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "trout\n", + "\n", + "trout\n", + "\n", + "\n", + "\n", + "trout->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "orange zest\n", + "\n", + "orange zest\n", + "\n", + "\n", + "\n", + "orange zest->grate0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "kosher salt\n", + "\n", + "kosher 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" * '4 fresh garlic cloves , peeled and finely chopped'\n", + " * '1 12 cups queso fresco , crumbled'\n", + " * '12 cup chorizo sausage , cooked and crumbled'\n", + " * '4 green onions , chopped'\n", + " * '1 large red chili , thinly sliced'\n", + " * '14 cup fresh cilantro , chopped'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Preheat oven to 500 degrees .\n", + " * Roll the pizza dough on a floured surface and place on a cookie sheet .\n", + " * Spread the pizza sauce over top .\n", + " * Cover with a sprinkling of garlic , then a 1/2 cup of queso fresco .\n", + " * Top with chorizo and green onion , then cover with the remaining cheese and chili slices .\n", + " * Cook until the crust is golden brown \\( 10 to 12 minutes \\) .\n", + " * Garnish with cilantro .\n", + " * Note : I prefer my crust prebaked for a crispier crumb .\n", + " * May need to reduce final cook time ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "slice0\n", + "\n", + "slice\n", + "\n", + "\n", + "\n", + "mix1\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "slice0->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "chop2\n", + "\n", + "chop\n", + "\n", + "\n", + "\n", + "mix4\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "chop2->mix4\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix3\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "spread0\n", + "\n", + "spread\n", + "\n", + "\n", + "\n", + "cook1\n", + "\n", + "cook\n", + "\n", + "\n", + "\n", + "roll\n", + "\n", + "roll\n", + "\n", + "\n", + "\n", + "roll->mix3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cook2\n", + 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"\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Fillet of Catfish Bayou Lafourche\n", + "(58079c3a16)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '4 each catfish fillets'\n", + " * '1 cup flour , all-purpose'\n", + " * '1 x cayenne pepper'\n", + " * '1/2 cup white wine ry'\n", + " * '2 each lemon juice'\n", + " * '2 tablespoons tarragon leaves chopped fresh'\n", + " * '2 tablespoons scallions , spring or green onions chopped'\n", + " * '2 tablespoons chives chopped'\n", + " * '1/2 cup butter clarified'\n", + " * '1 x salt to taste'\n", + " * '1/2 cup champagne'\n", + " * '12 each oysters fresh shucked'\n", + " * '2 tablespoons shallots chopped'\n", + " * '1/2 teaspoon tarragon leaves ried'\n", + " * '1/2 cup butter unsalted'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Thaw frozen fish according to package directions .\n", + " * Season catfish with salt and cayenne ; dust with flour , shaking off excess .\n", + " * Heat clarified butter in large heavy skillet .\n", + " * Place fillets in skillet , flat side up ; saute over medium heat until brown .\n", + " * Turn fillets and continue to saute until brown , then remove to heated plates .\n", + " * Deglaze skillet with champagne or wine ; add oysters , oyster liquor , lemon juice , shallots , fresh or dried tarragon , and green onions .\n", + " * Cook until oysters begin to curl , then remove and place 3 on each fillet .\n", + " * Reduce liquid in skillet until a glaze forms , then add cold butter , a few chips at a time , swirling pan constantly \\( do not stir , as spots will develop and butter solids and liquids will separate \\) .\n", + " * Continue adding butter ; butter will emulsify , creating a smooth creamy sauce .\n", + " * Add chives , adjust seasoning with salt and cayenne , and pour over oysters ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "tarragon leaf\n", + "\n", + "tarragon leaf\n", + "\n", + "\n", + "\n", + "mix0\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "tarragon leaf->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "salt\n", + "\n", + "salt\n", + "\n", + "\n", + "\n", + "mix9\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "salt->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cook0\n", + "\n", + "cook\n", + "\n", + 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"mix0->chop0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "place0->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "champagne\n", + "\n", + "champagne\n", + "\n", + "\n", + "\n", + "champagne->mix4\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "chop0->mix4\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "catfish fillet\n", + "\n", + "catfish fillet\n", + "\n", + "\n", + "\n", + "catfish fillet->thaw0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "oyster\n", + "\n", + "oyster\n", + "\n", + "\n", + "\n", + "oyster->mix4\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "lemon juice\n", + "\n", + "lemon juice\n", + "\n", + "\n", + "\n", + "lemon juice->mix4\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cayenne pepper\n", + "\n", + "cayenne pepper\n", + "\n", + "\n", + "\n", + "cayenne pepper->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## PHILADELPHIA Caramel-Pecan Cheesecake\n", + "(c6bebda3c2)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '1-1/2 cups Honey Maid Graham Crumbs'\n", + " * '1 cup chopped pecans , divided'\n", + " * '1/4 cup non-hydrogenated margarine , melted'\n", + " * '4 pkg . \\( 250 g each \\) Philadelphia Brick Cream Cheese , softened'\n", + " * '1 cup sugar'\n", + " * '1 cup sour cream'\n", + " * '3 Tbsp . flour'\n", + " * '1 Tbsp . vanilla'\n", + " * '4 eggs'\n", + " * '1/4 cup caramel ice cream topping'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Heat oven to 325F .\n", + " * Line 13x9-inch pan with foil , with ends of foil extending over sides .\n", + " * Mix graham crumbs , 1/2 cup nuts and margarine ; press onto bottom of pan .\n", + " * Refrigerate until ready to use .\n", + " * Beat cream cheese and sugar in large bowl with mixer until blended .\n", + " * Add sour cream , flour and vanilla ; mix well .\n", + " * Add eggs , 1 at a time , mixing on low speed after each just until blended .\n", + " * Pour over crust .\n", + " * Bake 45 min .\n", + " * or until centre is almost set .\n", + " * Cool completely .\n", + " * Refrigerate 4 hours .\n", + " * Use foil handles to lift cheesecake from pan .\n", + " * Drizzle with caramel topping ; sprinkle with remaining nuts .\n", + " * Let stand until topping is firm ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + 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cheese\n", + "\n", + "cream cheese\n", + "\n", + "\n", + "\n", + "beat1\n", + "\n", + "beat\n", + "\n", + "\n", + "\n", + "cream cheese->beat1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cream\n", + "\n", + "cream\n", + "\n", + "\n", + "\n", + "cream->sour0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "refrigerate9->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix1->refrigerate1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix2->cool0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "top\n", + "\n", + "top\n", + "\n", + "\n", + "\n", + "beat1->mix3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "graham crumbs\n", + "\n", + "graham crumbs\n", + "\n", + "\n", + "\n", + "graham crumbs->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "vanilla\n", + "\n", + "vanilla\n", + "\n", + "\n", + "\n", + "vanilla->mix3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "nut\n", + "\n", + "nut\n", + "\n", + "\n", + "\n", + "nut->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "beat0->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "sour1->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "pour0\n", + "\n", + "pour\n", + "\n", + "\n", + "\n", + "pour0->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cool2->pour0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "caramel ice cream topping\n", + "\n", + "caramel ice cream topping\n", + "\n", + "\n", + "\n", + "caramel ice cream topping->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "pecan\n", + "\n", + "pecan\n", + "\n", + "\n", + "\n", + "pecan->chop0\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Rye and Molasses Bread With Beer\n", + "(2cd6829516)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '1 1/2 packages dry yeast'\n", + " * '13 cup warm milk'\n", + " * '1/2 cup molasses'\n", + " * '1 tablespoon grated orange peel'\n", + " * '1 tablespoon salt'\n", + " * '1 1/2 teaspoons ground fennel seeds'\n", + " * '2 cups dark beer'\n", + " * '1/2 cup rolled oats'\n", + " * '1/2 cup bran'\n", + " * '1 1/2 cups medium or dark rye flour'\n", + " * '1 1/2 cups whole wheat flour'\n", + " * '1 cup all-purpose flour \\( approximately \\)'\n", + " * '2 teaspoons whole fennel seeds'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Dissolve yeast in milk .\n", + " * Set aside in a warm place to proof , about five minutes .\n", + " * Mix all but one tablespoon of the molasses with orange rind , salt and ground fennel seeds in a saucepan .\n", + " * Bring to a boil , then mix with beer in a large bowl .\n", + " * Mix the remaining tablespoon of molasses with a tablespoon of warm water and set aside to use as a glaze .\n", + " * Stir in the yeast mixture .\n", + " * Then stir in the oats , bran and rye flour .\n", + " * Add the whole wheat flour , a half-cup at a time , to make a soft , somewhat sticky dough .\n", + " * Turn the dough out onto a board liberally spread with the all-purpose flour .\n", + " * Knead until the dough is soft , smooth and fairly elastic , adding more all-purpose flour as necessary .\n", + " * Most of the stickiness should be gone from the dough .\n", + " * Place dough in an oiled bowl , cover and set aside to rise until doubled , one-and-a-half to two hours .\n", + " * Punch dough down , knead briefly and divide in half .\n", + " * Shape each portion of dough into a narrow , plump oval and press the fennel seeds into the top of each loaf .\n", + " * Place loaves on an oiled baking sheet and set aside to rise until doubled , about one hour .\n", + " * Preheat oven to 375 degrees .\n", + " * Brush each loaf with some of the glaze prepared in Step 2 .\n", + " * Place breads in the middle of the oven and bake until they sound hollow when tapped , about 40 minutes .\n", + " * Brush more glaze on the loaves during baking .\n", + " * Cover breads loosely with foil and cool on racks ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "yeast\n", + "\n", + "yeast\n", + "\n", + "\n", + "\n", + "warm0\n", + "\n", + "warm\n", + "\n", + "\n", + "\n", + "yeast->warm0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "boil0\n", + "\n", + "boil\n", + "\n", + "\n", + "\n", + "mix10\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "boil0->mix10\n", + "\n", + "\n", + "\n", + "\n", + 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"\n", + "\n", + "loaves->place0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "wheat flour\n", + "\n", + "wheat flour\n", + "\n", + "\n", + "\n", + "peel0\n", + "\n", + "peel\n", + "\n", + "\n", + "\n", + "peel0->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "grate0\n", + "\n", + "grate\n", + "\n", + "\n", + "\n", + "grate0->peel0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "spread0\n", + "\n", + "spread\n", + "\n", + "\n", + "\n", + "spread0->knead0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "flour\n", + "\n", + "flour\n", + "\n", + "\n", + "\n", + "place2\n", + "\n", + "place\n", + "\n", + "\n", + "\n", + "mix0->place2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "warm0->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "salt\n", + "\n", + "salt\n", + "\n", + "\n", + "\n", + "salt->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "rye flour\n", + "\n", + "rye flour\n", + "\n", + "\n", + "\n", + "rye flour->mix3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + 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"\n", + "ground fennel seed\n", + "\n", + "ground fennel seed\n", + "\n", + "\n", + "\n", + "ground fennel seed->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "beer\n", + "\n", + "beer\n", + "\n", + "\n", + "\n", + "beer->boil0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "place2->mix10\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "bread\n", + "\n", + "bread\n", + "\n", + "\n", + "\n", + "bread->place1\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Chocolate Mousse Tart\n", + "(6987bd21a3)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '8 ounces bittersweet or semisweet chocolate , chopped'\n", + " * '4 tablespoons unsalted butter'\n", + " * '3 large eggs , \\* separated'\n", + " * '1/4 cup superfine sugar'\n", + " * '1 1/4 cups cold heavy cream'\n", + " * '1/4 cup orange liqueur \\( recommended : Grand Marnier \\)'\n", + " * 'Tart shell , recipe follows'\n", + " * 'Small chocolate shavings or chocolate nibs , for garnish'\n", + " * '1 1/2 cups plus 2 tablespoons all-purpose flour'\n", + " * '1 tablespoon sugar'\n", + " * '1/2 teaspoon salt'\n", + " * '4 ounces \\( 1 stick \\) cold butter , cut into 1/4-inch pieces'\n", + " * '2 tablespoons solid vegetable shortening'\n", + " * '3 tablespoons ice water'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * In the top of a double boiler or in a bowl set over a pot of hot water , melt the chocolate and butter , stirring .\n", + " * Remove from the heat and beat with a heavy wooden spoon until smooth .\n", + " * Return to the heat and add the yolks , 1 at a time , beating well after the addition of each .\n", + " * Remove from the heat and transfer to a large bowl .\n", + " * In a clean bowl , beat the egg whites until soft peaks start to form .\n", + " * Add 2 tablespoons of the sugar and beat until stiff .\n", + " * In a third bowl , beat the cream until it becomes frothy .\n", + " * Add the remaining 2 tablespoons sugar and the orange liqueur and continue beating until it holds soft peaks .\n", + " * Fold the egg whites into the chocolate mixture until no white specks appear .\n", + " * Gradually fold in the whipped cream , reserving about 1/2 cup for garnish .\n", + " * Spoon the mousse into the pre-baked pie shell and smooth the top with a rubber spatula .\n", + " * Refrigerate until well chilled .\n", + " * To serve , spoon the reserved whipped cream on top and garnish with chocolate shavings .\n", + " * Cut into wedges and serve .\n", + " * Sift the flour , sugar , and salt into a large mixing bowl .\n", + " * Using a pastry blender or your fingers , work in the butter pieces and shortening until the dough begins to come together and form small pea shapes .\n", + " * Work in the ice water with your fingers until it just comes together , being careful not to over mix .\n", + " * Form the crust into a disk shape , wrap tightly in plastic wrap , and place in the refrigerator to rest for at least 30 minutes before rolling out to fit into a pie pan .\n", + " * Preheat the oven to 400 degrees F .\n", + " * On a lightly floured surface , roll out the dough to an 11-inch circle .\n", + " * Transfer to a 10-inch tart pan with a removable bottom and trim any excess from the edges .\n", + " * Place in the refrigerator for 20 to 30 minutes to rest .\n", + " * Cover with parchment paper and weight with pie weights .\n", + " * Bake for 12 to 15 minutes .\n", + " * Remove the paper and weights and cook until just golden brown , about 15 minutes .\n", + " * Remove from the oven and cool .\n", + " * Yield : 1 \\( 10-inch \\) tart shell" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "bake11\n", + "\n", + "bake\n", + "\n", + "\n", + "\n", + "mix6\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "bake11->mix6\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cut6\n", + "\n", + "cut\n", + "\n", + "\n", + "\n", + "mix6->cut6\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "refrigerate4\n", + "\n", + "refrigerate\n", + "\n", + "\n", + "\n", + "chill9\n", + "\n", + "chill\n", + "\n", + "\n", + "\n", + "refrigerate4->chill9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "bake1\n", + "\n", + "bake\n", + "\n", + "\n", + "\n", + "cool4\n", + "\n", + "cool\n", + "\n", + "\n", + "\n", + "bake1->cool4\n", + "\n", + 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+ "\n", + "\n", + "\n", + "vegetable shortening->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix3\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "mix3->bake17\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "roll\n", + "\n", + "roll\n", + "\n", + "\n", + "\n", + "roll->mix4\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix1->cool18\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "speck\n", + "\n", + "speck\n", + "\n", + "\n", + "\n", + "speck->mix10\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "place21->mix3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "garnish\n", + "\n", + "garnish\n", + "\n", + "\n", + "\n", + "garnish->mix10\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cool4->mix3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix14->heat1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix10->refrigerate4\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Atomic Tuna Salad\n", + "(1932c76498)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '2 \\( 6 ounce \\) cans tuna , drained'\n", + " * '1/2 head broccoli , finely chopped'\n", + " * '1/2 head cauliflower , finely chopped'\n", + " * '1/2 red onion , finely chopped'\n", + " * '2 stalks celery , finely chopped'\n", + " * '1 cup fat-free mayonnaise , or to taste'\n", + " * '4 pita bread rounds'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * In a large bowl , toss together the tuna , broccoli , cauliflower , onion and celery .\n", + " * Stir in mayonnaise until the salad reaches your desired consistency .\n", + " * Serve on pita bread ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "broccoli\n", + "\n", + "broccoli\n", + "\n", + "\n", + "\n", + "mix0\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "broccoli->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "pita bread round\n", + "\n", + "pita bread round\n", + "\n", + "\n", + "\n", + "chop0\n", + "\n", + "chop\n", + "\n", + "\n", + "\n", + "mix2\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "chop0->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "tuna\n", + "\n", + "tuna\n", + "\n", + "\n", + "\n", + "drain0\n", + "\n", + "drain\n", + "\n", + "\n", + "\n", + "tuna->drain0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cauliflower\n", + "\n", 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"display_data" + }, + { + "data": { + "text/markdown": [ + " * '2 34 cups unbleached all-purpose flour'\n", + " * '1 teaspoon baking powder'\n", + " * '14 teaspoon salt'\n", + " * '1 teaspoon ground cinnamon'\n", + " * '34 cup unsalted butter , room temperature'\n", + " * '1 teaspoon grated orange zest'\n", + " * '2 large eggs'\n", + " * '2 teaspoons vanilla extract'\n", + " * '1 cup carrot , finely grated \\( 3-4 carrots \\)'\n", + " * '34 cup grated peeled apple \\( 1 apple \\)'\n", + " * '1 cup raisins'\n", + " * '12 cup shredded sweetened coconut'\n", + " * '1 cup walnuts , chopped coarsely'\n", + " * 'powdered sugar , for dusting'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Position a rack in the middle of the oven .\n", + " * preheat oven to 350\\* .\n", + " * line two baking sheets with parchment paper .\n", + " * sift flour , baking power , salt and cinnamon in a medium bowl and set aside .\n", + " * In a large bowl , using an electric mixer on medium speed , beat the butter , sugar and orange zest until smoothly blended -- about 1 minute .\n", + " * Stop the mixer and scrape the sides of the bowl as needed during mixing .\n", + " * Add the eggs and vanilla and mix until blended , about 1 minute .\n", + " * Mix in the carrots , apple , raisins , coconut and walnuts .\n", + " * The batter will become quite liquid from the moist carrots and apples .\n", + " * on low speed , add the flour mixture , mixing just until incorporated .\n", + " * the dough will be soft and sticky .\n", + " * using an ice cream scoop , preferably , or measuring cup with 1/4 cup capacity , scoop mounds of the dough onto the prepared baking sheets , spacing the cookies at least 2 1/2 '' apart .\n", + " * bake the cookies one sheet at a time until the bottoms are browned and the tops are pale but firm , and a toothpick inserted near the center of a cookie comes out dry , about 20 minutes .\n", + " * cool the cookies on the baking sheet for 5 minutes. , then using a wide metal spatula , transfer to wire rack to cool completely .\n", + " * dust the cooled cookies with powdered sugar -- if desired.The cookies can be stored in a tightly covered container at room temperature for up to 4 days ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "coconut\n", + "\n", + "coconut\n", + "\n", + "\n", + "\n", + "sweeten0\n", + "\n", + "sweeten\n", + "\n", + "\n", + "\n", + "coconut->sweeten0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "grate1\n", + "\n", + "grate\n", + "\n", + "\n", + "\n", + "mix0\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "grate1->mix0\n", + 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"brown0\n", + "\n", + "brown\n", + "\n", + "\n", + "\n", + "brown0->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "salt\n", + "\n", + "salt\n", + "\n", + "\n", + "\n", + "salt->mix3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix9->bake0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "grate0->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "liquid\n", + "\n", + "liquid\n", + "\n", + "\n", + "\n", + "liquid->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "carrot\n", + "\n", + "carrot\n", + "\n", + "\n", + "\n", + "carrot->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "bottom\n", + "\n", + "bottom\n", + "\n", + "\n", + "\n", + "bottom->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "vanilla extract\n", + "\n", + "vanilla extract\n", + "\n", + "\n", + "\n", + "vanilla extract->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "dough\n", + "\n", + "dough\n", + "\n", + "\n", + "\n", + "dough->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "ground cinnamon\n", + "\n", + "ground cinnamon\n", + "\n", + "\n", + "\n", + "ground cinnamon->mix3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "top\n", + "\n", + "top\n", + "\n", + "\n", + "\n", + "top->brown0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "egg\n", + "\n", + "egg\n", + "\n", + "\n", + "\n", + "egg->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "flour\n", + "\n", + "flour\n", + "\n", + "\n", + "\n", + "flour->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cool0->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "walnut\n", + "\n", + "walnut\n", + "\n", + "\n", + "\n", + "walnut->chop0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "sugar\n", + "\n", + "sugar\n", + "\n", + "\n", + "\n", + "sugar->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Cookie Dough\n", + "(b7d6e288a6)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '1 cup soy yogurt'\n", + " * '1 cup applesauce unsweetened'\n", + " * '3 cups turbinado sugar'\n", + " * '2 teaspoons vanilla extract'\n", + " * '1 cup rolled oats whole'\n", + " * '2 cups rolled oats process in food processor until coarse flour'\n", + " * '1 cup flour , unbleached all-purpose'\n", + " * '1 1/2 tablespoons baking powder'\n", + " * '1 1/2 tablespoons baking soda'\n", + " * '1 teaspoon salt'\n", + " * '2 tablespoons liquid egg substitute'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Combine mixtures .\n", + " * The baking soda should react somewhat , making the mass fluffy and easy to stir .\n", + " * Add more flour until a cookie dough texture is reached .\n", + " * Add chips or fruit or whatever .\n", + " * Shape into balls and bake at 375 until browned ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "brown0\n", + "\n", + "brown\n", + "\n", + "\n", + "\n", + "liquid egg\n", + "\n", + "liquid egg\n", + "\n", + "\n", + "\n", + "flour\n", + "\n", + "flour\n", + "\n", + "\n", + "\n", + "mix1\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "flour->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "chip\n", + "\n", + "chip\n", + "\n", + "\n", + "\n", + "chip->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "applesauce\n", + "\n", + "applesauce\n", + "\n", + "\n", + "\n", + "bake2\n", + "\n", + "bake\n", + "\n", + "\n", + "\n", + "bake2->brown0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix1->bake2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "soda\n", + "\n", + "soda\n", + "\n", + "\n", + "\n", + "fruit\n", + "\n", + "fruit\n", + "\n", + "\n", + "\n", + "fruit->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "roll oat\n", + "\n", + "roll oat\n", + "\n", + "\n", + "\n", + "turbinado sugar\n", + "\n", + "turbinado sugar\n", + "\n", + "\n", + "\n", + "dough\n", + "\n", + "dough\n", + "\n", + "\n", + "\n", + "dough->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "salt\n", + "\n", + "salt\n", + "\n", + "\n", + "\n", + "vanilla extract\n", + "\n", + "vanilla extract\n", + "\n", + "\n", + "\n", + "soy\n", + "\n", + "soy\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Teeny Weeny Woo-Woo\n", + "(7344b6d987)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '1 \\( 1.5 fluid ounce \\) jigger peach schnapps'\n", + " * '1 \\( 1.5 fluid ounce \\) jigger vodka'\n", + " * '1 fluid ounce cranberry juice'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * In a small glass , stir together the peach schnapps and vodka .\n", + " * Top with a splash of cranberry juice .\n", + " * Serve with or without ice ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "cranberry juice\n", + "\n", + "cranberry juice\n", + "\n", + "\n", + "\n", + "fluid\n", + "\n", + "fluid\n", + "\n", + "\n", + "\n", + "peach schnapps\n", + "\n", + "peach schnapps\n", + "\n", + "\n", + "\n", + "mix0\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "peach schnapps->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "vodka\n", + "\n", + "vodka\n", + "\n", + "\n", + "\n", + "vodka->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Grilled Chicken Breasts in Raspberry Vinegar Marinade\n", + "(014b655a6f)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '4 chicken breast halves'\n", + " * '1 cup raspberry vinegar or 12 cup wine vinegar'\n", + " * '12 cup chicken stock'\n", + " * '2 tablespoons olive oil'\n", + " * '1 tablespoon lemon juice'\n", + " * '1 teaspoon fresh lemon rind , grated'\n", + " * '2 shallots , finely chopped'\n", + " * '12 teaspoon dried tarragon leaves'\n", + " * 'black pepper'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Remove excess fat from chicken breasts ; place them in sealable plastic bag or non-aluminum bowl .\n", + " * Combine remaining ingredients ; pour evenly over chicken breasts .\n", + " * Seal bag or cover bowl ; marinate in refrigerator 4 hours or overnight .\n", + " * Turn occasionally .\n", + " * Remove chicken from marinade , reserving marinade .\n", + " * Arrange in one layer in greased 9x13-inch pan .\n", + " * Pierce skin in several places with sharp knife .\n", + " * Cover with foil .\n", + " * Bake at 350F for 30-35 minutes , or until mostly cooked through ; in the mean time , bring reserved marinade to a simmer in a small saucepan , simmering 15 minutes .\n", + " * After main cooking time , uncover chicken and baste with marinade every 5 minutes until chicken is cooked through , approx 15-20 minutes .\n", + " * For OAMC or freezing ahead , freeze this chicken , raw , in marinade -OR- freeze after cooking , making sure to include a portion of the cooking juices with each breast \\( keeps chicken moist while thawing \\) .\n", + " * Serving suggestions : bed of rice or baby spinach ; side of green salad with raspberry vinaigrette ; mashed potatoes ; steamed carrots or broccoli ; sliced thin over a bed of peppered angel hair pasta ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "fat\n", + "\n", + "fat\n", + "\n", + "\n", + "\n", + "mix2\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "fat->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "pour0\n", + "\n", + "pour\n", + "\n", + "\n", + "\n", + "marinate1\n", + "\n", + "marinate\n", + "\n", + "\n", + "\n", + "pour0->marinate1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "broccoli\n", + "\n", + "broccoli\n", + "\n", + "\n", + "\n", + "mix0\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "broccoli->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "chicken breast half\n", + "\n", + "chicken breast half\n", + "\n", + "\n", + "\n", + "chicken breast half->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "chicken stock\n", + "\n", + "chicken stock\n", + "\n", + "\n", + "\n", + "mash0\n", + "\n", + "mash\n", + "\n", + "\n", + "\n", + "mix9\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "mash0->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "marinade\n", + "\n", + "marinade\n", + "\n", + "\n", + "\n", + "bake0\n", + "\n", + "bake\n", + "\n", + "\n", + "\n", + "marinade->bake0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "baste0\n", + "\n", + "baste\n", + "\n", + "\n", + "\n", + "baste0->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "green salad\n", + "\n", + "green salad\n", + "\n", + "\n", + "\n", + "green salad->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "carrot\n", + "\n", + "carrot\n", + "\n", + "\n", + "\n", + "carrot->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "freeze0\n", + "\n", + "freeze\n", + "\n", + "\n", + "\n", + "cook1\n", + "\n", + "cook\n", + "\n", + "\n", + "\n", + "freeze0->cook1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cook1->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "spinach\n", + "\n", + "spinach\n", + "\n", + "\n", + "\n", + "spinach->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "tarragon leaf\n", + "\n", + "tarragon leaf\n", + "\n", + "\n", + "\n", + "vinegar wine vinegar\n", + "\n", + "vinegar wine vinegar\n", + "\n", + "\n", + "\n", + "black pepper\n", + "\n", + "black pepper\n", + "\n", + "\n", + "\n", + "grate0\n", + "\n", + "grate\n", + "\n", + "\n", + "\n", + "lemon\n", + "\n", + "lemon\n", + "\n", + "\n", + "\n", + "lemon->grate0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "potato\n", + "\n", + "potato\n", + "\n", + "\n", + "\n", + "potato->mash0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "chop0\n", + "\n", + "chop\n", + "\n", + "\n", + "\n", + "olive oil\n", + "\n", + "olive oil\n", + "\n", + "\n", + "\n", + "raspberry vinaigrette\n", + "\n", + "raspberry vinaigrette\n", + "\n", + "\n", + "\n", + "raspberry vinaigrette->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix2->pour0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "shallot\n", + "\n", + "shallot\n", + "\n", + "\n", + "\n", + "shallot->chop0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "pasta\n", + "\n", + "pasta\n", + "\n", + "\n", + "\n", + "slice0\n", + "\n", + "slice\n", + "\n", + "\n", + "\n", + "pasta->slice0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cook0\n", + "\n", + "cook\n", + "\n", + "\n", + "\n", + "bake0->cook0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "slice0->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "skin\n", + "\n", + "skin\n", + "\n", + "\n", + "\n", + "steam0\n", + "\n", + "steam\n", + "\n", + "\n", + "\n", + "mix0->steam0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cook0->baste0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "marinate1->freeze0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "lemon juice\n", + "\n", + "lemon juice\n", + "\n", + "\n", + "\n", + "lemon juice->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "steam0->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Oven Beef Stew\n", + "(4656f810f9)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '2 pounds Beef Stew Meat \\( chunks \\)'\n", + " * '2 cups Celery , Chopped'\n", + " * '2 cups Carrots , Chopped'\n", + " * '1 Onion , Peeled And Chopped'\n", + " * '4 Potatoes , Scrubbed , Peeled And Chopped'\n", + " * '2 cups Tomato Juice'\n", + " * 'Salt And Pepper , to taste'\n", + " * '2 Tablespoons Minute Tapioca'\n", + " * '1 Tablespoon Brown Sugar'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Preheat oven to 250 F. Put all the ingredients in a Dutch oven with tight lid .\n", + " * Bake at 250 F for 5-51/2 hours without disturbing ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "celery\n", + "\n", + "celery\n", + "\n", + "\n", + "\n", + "brown0\n", + "\n", + "brown\n", + "\n", + "\n", + "\n", + "sugar\n", + "\n", + "sugar\n", + "\n", + "\n", + "\n", + "sugar->brown0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "carrots\n", + "\n", + "carrots\n", + "\n", + "\n", + "\n", + "onion\n", + "\n", + "onion\n", + "\n", + "\n", + "\n", + "potatoes\n", + "\n", + "potatoes\n", + "\n", + "\n", + "\n", + "tapioca\n", + "\n", + "tapioca\n", + "\n", + "\n", + "\n", + "pound beef stew meat\n", + "\n", + "pound beef stew meat\n", + "\n", + "\n", + "\n", + "tomato juice\n", + "\n", + "tomato juice\n", + "\n", + "\n", + "\n", + "salt\n", + "\n", + "salt\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Caramelized Sweet Potatoes\n", + "(4aae2dc020)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '4 medium sweet potatoes , scrubbed'\n", + " * '1 tablespoon brown sugar'\n", + " * '1 tablespoon unsalted butter'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Preheat the oven to 350 degrees F .\n", + " * Place the potatoes on a foil-lined baking sheet and bake until tender , 45 minutes to 1 hour , depending upon their size .\n", + " * Remove from the oven and let sit until cool enough to handle .\n", + " * Peel the potatoes while still warm and cut each into several pieces .\n", + " * Butter a small baking dish and arrange the potatoes in a single layer .\n", + " * Sprinkle with sugar and dot with butter .\n", + " * Return to oven and bake until the sugar melts and the potatoes are glazed , about 15 minutes .\n", + " * Keep warm until ready to serve ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "butter\n", + "\n", + "butter\n", + "\n", + "\n", + "\n", + "mix1\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "butter->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "bake0\n", + "\n", + "bake\n", + "\n", + "\n", + "\n", + "mix1->bake0\n", + "\n", + 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water'\n", + " * '1/3 cup fresh lemon juice , strained'\n", + " * '1 tablespoon light brown sugar'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Scrape seeds from vanilla bean ; place seeds and bean in a small bowl.Combine granulated sugar and remaining ingredients in a medium saucepan .\n", + " * Bring to a boil over medium-high heat , stirring until sugar dissolves .\n", + " * Reduce heat ; simmer 5 minutes .\n", + " * Remove from heat .\n", + " * Add vanilla bean and seeds , stirring gently .\n", + " * Cool syrup to room temperature.Pour syrup and vanilla bean into a glass container .\n", + " * Cover and chill.Note : Store in the refrigerator for up to 1 month ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "boil0\n", + "\n", + "boil\n", + "\n", + "\n", + "\n", + "mix3\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "boil0->mix3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "brown0\n", + "\n", + "brown\n", + "\n", + "\n", + "\n", + "brown0->boil0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "seed\n", + "\n", + "seed\n", + "\n", + "\n", + "\n", + "place1\n", + "\n", + "place\n", + "\n", + "\n", + "\n", + "seed->place1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "heat1\n", + "\n", + "heat\n", + "\n", + "\n", + "\n", + "simmer0\n", + "\n", + "simmer\n", + "\n", + "\n", + "\n", + "heat1->simmer0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "syrup\n", + "\n", + "syrup\n", + "\n", + "\n", + "\n", + "mix2\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "syrup->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "heat2\n", + "\n", + "heat\n", 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"simmer1->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "lemon juice\n", + "\n", + "lemon juice\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Pasta With Peas\n", + "(6b41602136)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '1 \\( 16 ounce \\) bagfrozen petite peas and pearl onions'\n", + " * '13 cup vegetable oil'\n", + " * '23 cup water'\n", + " * '14 teaspoon salt'\n", + " * '12 teaspoon pepper'\n", + " * '1 \\( 16 ounce \\) box medium pasta shells'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Put the first 5 ingredients in a microwave safe bowl .\n", + " * Microwave for 5 minutes ; then stir .\n", + " * Microwave for another 5 minutes .\n", + " * Boil medium shells according to directions on package .\n", + " * Pour pea mixture over pasta and serve ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "pepper\n", + "\n", + "pepper\n", + "\n", + "\n", + "\n", + "pour1\n", + "\n", + "pour\n", + "\n", + "\n", + "\n", + "water\n", + "\n", + "water\n", + "\n", + "\n", + "\n", + "vegetable oil\n", + "\n", + "vegetable oil\n", + "\n", + "\n", + "\n", + "boil0\n", + "\n", + "boil\n", + "\n", + "\n", + "\n", + "mix1\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "boil0->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "pasta shell\n", + "\n", + "pasta shell\n", + "\n", + "\n", + "\n", + "pasta shell->boil0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "pea\n", + "\n", + "pea\n", + "\n", + "\n", + "\n", + "pea->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix1->pour1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "salt\n", + "\n", + "salt\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Baked Fish & Chips\n", + "(fc9c7f24b8)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '2 large baking potatoes \\( 1-1/2 lb./675 g \\) , each cut into 8 wedges'\n", + " * '1/4 cup Kraft Calorie-Wise Zesty Italian Dressing'\n", + " * '1 pouch Shake ' N Bake Extra Crispy Original Coating Mix , divided'\n", + " * '4 haddock fillets \\( 1 lb./450 g \\)'\n", + " * '1/4 cup Miracle Whip Calorie-Wise Spread'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Heat oven to 400F .\n", + " * Toss potatoes with Italian dressing , then 1/4 cup coating mix .\n", + " * Spread onto large baking sheet sprayed with cooking spray .\n", + " * Bake 20 min .\n", + " * Meanwhile , spread remaining coating mix onto large plate .\n", + " * Spread fish with 2 Tbsp .\n", + " * Miracle Whip ; press , dressing sides down , into coating mix .\n", + " * Repeat to coat other sides of fish .\n", + " * Place on rack of broiler pan sprayed with cooking spray .\n", + " * Add fish to oven with potatoes .\n", + " * Bake 15 min .\n", + " * or until fish flakes easily with fork and potatoes are tender ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "bake1\n", + "\n", + "bake\n", + "\n", + "\n", + "\n", + "mix2\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "bake1->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "extra\n", + "\n", + "extra\n", + "\n", + "\n", + "\n", + "bake0\n", + "\n", + "bake\n", + "\n", + "\n", + "\n", + "extra->bake0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "fish\n", + "\n", + "fish\n", + "\n", + "\n", + "\n", + "fish->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cut0\n", + "\n", + "cut\n", + "\n", + "\n", + "\n", + "mix0\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "cut0->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "min\n", + "\n", + "min\n", + "\n", + "\n", + "\n", + "min->bake1\n", + "\n", + "\n", + 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"broiler\n", + "\n", + "broiler\n", + "\n", + "\n", + "\n", + "broiler->place0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "spread1\n", + "\n", + "spread\n", + "\n", + "\n", + "\n", + "spread1->bake2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "whip0->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix0->spread1\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Easy Creamy Vanilla Custard\n", + "(987be87d6c)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '4 Egg Yolks'\n", + " * '2 cups Milk'\n", + " * '1/4 cups Sugar'\n", + " * '1/4 cups Cornstarch'\n", + " * '1/2 teaspoons Salt'\n", + " * '2 Tablespoons Butter'\n", + " * '1 teaspoon Good Quality Vanilla Extract'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * 1 .\n", + " * In a medium bowl , whisk the egg yolks with 1/2 cup milk , sugar , cornstarch and salt .\n", + " * 2 .\n", + " * In the top of a double boiler with simmering water in the bottom pot , heat the remaining 1 1/2 cups of milk until steaming .\n", + " * 3 .\n", + " * In a slow and steady stream , whisk the hot milk into the egg yolk mixture .\n", + " * 4 .\n", + " * Return the mixture to the double boiler and stir continuously over medium heat .\n", + " * The custard will slowly warm up , then thicken all of a sudden .\n", + " * Remove from the heat .\n", + " * 5 .\n", + " * Stir in the butter and vanilla extract .\n", + " * 6 .\n", + " * Remove from heat and let it cool .\n", + " * Note : I used all of my vanilla beans to make vanilla extract , but if youve got a bean hanging around , you can scrape the seeds into the milk to infuse as it heats .\n", + " * If not , you can use any good quality vanilla extract ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "vanilla extract\n", + "\n", + "vanilla extract\n", + "\n", + "\n", + "\n", + "mix1\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "vanilla extract->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "water\n", + "\n", + "water\n", + "\n", + "\n", + "\n", + "water->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "seed\n", + "\n", + "seed\n", + "\n", + "\n", + "\n", + "mix9\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "seed->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "heat0\n", + "\n", + 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"\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Whole Wheat Chocolate Chip Cookies\n", + "(8fb7c8e050)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '12 cup whole wheat flour'\n", + " * '12 cup wheat germ'\n", + " * '2 tablespoons nonfat dry milk powder'\n", + " * '12 teaspoon baking soda'\n", + " * '12 cup butter'\n", + " * '12 cup brown sugar'\n", + " * '1 egg'\n", + " * '12 teaspoon vanilla'\n", + " * '6 ounces semi-sweet chocolate chips'\n", + " * '12 cup dry roasted sunflower seeds'\n", + " * '12 cup peanuts'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Stir together whole-wheat flour , wheat germ , dry milk , and baking soda .\n", + " * Set aside .\n", + " * cream together butter and brown sugar in bowl until light and fluffy , using electric mixer at medium speed .\n", + " * Add egg and vanilla ; beat well .\n", + " * Stir dry ingredients into creamed mixture , mixing well .\n", + " * Stir in chocolate pieces , sunflower seeds and peanuts .\n", + " * Drop mixture by rounded teaspoonfuls , about 2 inches apart , on greased baking sheets .\n", + " * Bake in 350 degree oven for 10-12 minutes ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "chocolate chip\n", + "\n", + "chocolate chip\n", + 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flour->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "nonfat\n", + "\n", + "nonfat\n", + "\n", + "\n", + "\n", + "baking soda\n", + "\n", + "baking soda\n", + "\n", + "\n", + "\n", + "baking soda->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "seed\n", + "\n", + "seed\n", + "\n", + "\n", + "\n", + "seed->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "bake7\n", + "\n", + "bake\n", + "\n", + "\n", + "\n", + "cream\n", + "\n", + "cream\n", + "\n", + "\n", + "\n", + "cream->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix2->bake7\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Easy Roast Turkey Breast\n", + "(55840a9c7b)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '10 lb tukey breast'\n", + " * '1 packet dried onion soup mix'\n", + " * '2 tbsp Italian seasoning'\n", + " * '1 tbsp garlic powder'\n", + " * '1 tbsp dried minced onions'\n", + " * '2 tsp ground celery seed'\n", + " * '1 large pinch kosher salt and black pepper'\n", + " * '1 olive oil ; as needed'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Preheat oven to 300\n", + " * Cover breast with olive oil .\n", + " * Season .\n", + " * Drizzle olive oil atop breast again being careful not to knock off seasoning .\n", + " * Roast uncovered for approximately 2 hours or until thermometer reaches 160 .\n", + " * Remove from oven and cover with foil so breast will carry over cook to 165\n", + " * Variations ; Brine , marinate , braise , white pepper , peppercorn melange , bed of mirepoix , shallots , herbes de provence , rosemary , thyme , basil , oregano , marjoram , parsley , sage , coriander , panko" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "sage\n", + "\n", + "sage\n", + "\n", + "\n", + "\n", + "mix0\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "sage->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "onion soup\n", + "\n", + "onion soup\n", + "\n", + "\n", + "\n", + "parsley\n", + "\n", + "parsley\n", + "\n", + "\n", + "\n", + "parsley->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "panko\n", + "\n", + "panko\n", + "\n", + "\n", + "\n", + "panko->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "ground celery seed\n", + "\n", + "ground celery seed\n", + "\n", + "\n", + "\n", + "braise1\n", + "\n", + "braise\n", + "\n", + "\n", + "\n", + "marinate0\n", + "\n", + "marinate\n", + "\n", + "\n", + "\n", + "braise1->marinate0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "braise4\n", + "\n", + "braise\n", + "\n", + "\n", + "\n", + "mix9\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "braise4->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "marinate0->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix0->braise4\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "olive oil\n", + "\n", + "olive oil\n", + "\n", + "\n", + "\n", + "mix1\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "olive oil->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "coriander\n", + "\n", + "coriander\n", + "\n", + "\n", + "\n", + "coriander->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "thyme\n", + "\n", + "thyme\n", + "\n", + "\n", + "\n", + "thyme->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "onion\n", + "\n", + "onion\n", + "\n", + "\n", + "\n", + "basil\n", + "\n", + "basil\n", + "\n", + "\n", + "\n", + "basil->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "black pepper\n", + "\n", + "black pepper\n", + "\n", + "\n", + "\n", + "black pepper->braise1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "garlic\n", + "\n", + "garlic\n", + "\n", + "\n", + "\n", + "marjoram\n", + "\n", + "marjoram\n", + "\n", + "\n", + "\n", + "marjoram->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "brine\n", + "\n", + "brine\n", + "\n", + "\n", + "\n", + "brine->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "oregano\n", + "\n", + "oregano\n", + "\n", + "\n", + "\n", + "oregano->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "rosemary\n", + "\n", + "rosemary\n", + "\n", + "\n", + "\n", + "rosemary->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "seasoning\n", + "\n", + "seasoning\n", + "\n", + "\n", + "\n", + "seasoning->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "shallot\n", + "\n", + "shallot\n", + "\n", + "\n", + "\n", + "shallot->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "tukey breast\n", + "\n", + "tukey breast\n", + "\n", + "\n", + "\n", + "tukey breast->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Moroccan Stuffed Cabbage Rolls\n", + "(b1b479e6d8)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '1/2 cups Brown Jasmine Rice'\n", + " * '1 head Savoy Or Regular Green Cabbage'\n", + " * '1 Tablespoon Extra Virgin Olive Oil'\n", + " * '1/2 whole Medium Yellow Onion , Finely Diced'\n", + " * '3 cloves Garlic , Minced'\n", + " * '1 pound Ground Turkey Breast'\n", + " * '1 Tablespoon Cinnamon'\n", + " * '1 teaspoon Freshly Grated Nutmeg'\n", + " * '1 Tablespoon Smoked Paprika'\n", + " * '13 cups Freshly Chopped Parsley'\n", + " * '13 cups Dried Cranberries'\n", + " * '1/4 cups Water'\n", + " * '1/2 cups Cherry Tomatoes'\n", + " * '1/4 cups Milk'\n", + " * '1 pinch Coarse Salt And Freshly Ground Pepper'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Preheat oven to 400 F .\n", + " * Cook your rice in a rice cooker or in a pot , according to package instructions .\n", + " * Whatever makes you happy in life .\n", + " * Separate nine leaves from the outside of the head of cabbage , and using a rolling pin , roll out the stem so that it becomes pliable and easy to roll .\n", + " * Heat the oil in a medium skillet over medium high .\n", + " * Add the onions and saute until soft , 4 minutes .\n", + " * Add the garlic and saute another minute .\n", + " * Add the turkey and cook , breaking up with a wooden spoon , until cooked through , 6 minutes .\n", + " * Add the cinnamon , nutmeg and paprika .\n", + " * Toss to combine .\n", + " * Add the parsley and dried cranberries , along with the cooked brown rice .\n", + " * Toss to combine and cook another couple of minutes .\n", + " * Season generously with salt and pepper , to taste .\n", + " * Spoon the turkey filling into each cabbage cup , and roll it up .\n", + " * Place the rolls in a baking dish , seam side down .\n", + " * Repeat 8 more times with the remaining cabbage leaves .\n", + " * Pour yourself a glass of wine because that was pretty exhausting .\n", + " * Pour 1/4 cup water over the rolls , cover the dish with foil and bake for 30 minutes .\n", + " * In the meantime , pulse the tomatoes in a food processor until you have a puree .\n", + " * Pour into a small saucepan and simmer on low while the cabbage rolls cook .\n", + " * Add the milk at the end , if ya want , along with a pinch of salt and pepper .\n", + " * Serve stuffed cabbage rolls with a drizzle of the tomato sauce !" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "wine\n", + "\n", + "wine\n", + "\n", + "\n", + "\n", + "pour0\n", + "\n", + "pour\n", + "\n", + "\n", + "\n", + "wine->pour0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "nutmeg\n", + "\n", + "nutmeg\n", + "\n", + "\n", + "\n", + "mix9\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "nutmeg->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "seam\n", + "\n", + "seam\n", + "\n", + "\n", + "\n", + "mix14\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "seam->mix14\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "meantime\n", + "\n", + "meantime\n", + "\n", + "\n", + "\n", + "meantime->mix14\n", + "\n", + "\n", + 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"\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Applicious Cream Cheese Pie\n", + "(75077a2827)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '1 \\( 8 ounce \\) package cream cheese'\n", + " * '14 cup powdered sugar'\n", + " * '1 egg'\n", + " * '2 teaspoons lemon juice'\n", + " * '12 cup pure maple syrup'\n", + " * '12 cup pecans , chopped'\n", + " * '1 cup brown sugar , packed'\n", + " * '3 tablespoons flour'\n", + " * '2 tablespoons fresh lemon juice'\n", + " * '2 tablespoons fresh lemon zest'\n", + " * '3 teaspoons cinnamon'\n", + " * '12 teaspoon nutmeg'\n", + " * '7 cups granny smith apples , peeled and sliced'\n", + " * '2 cups all-purpose flour'\n", + " * '1 tablespoon sugar'\n", + " * '1 teaspoon salt'\n", + " * '14 cup cold unsalted butter , cut in 1/2 inch cubes'\n", + " * '12 cup cold vegetable shortening , cut in 1/2 inch cubes'\n", + " * '1 cup sharp cheddar cheese , grated'\n", + " * '2 teaspoons fresh lemon juice'\n", + " * '5 tablespoons cold water'\n", + " * '1 egg white'\n", + " * 'cinnamon sugar , to taste'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Combine flour , sugar and salt in mixing bowl .\n", + " * \\( To make it easier the crust can be made in the food processor \\) .\n", + " * \\*\\*Cut in the butter with pastry blender until mixture resembles coarse meal ; cut in the shortening until it is the size of small peas .\n", + " * Stir in the grated cheese .\n", + " * Add the water , 1 Tablespoon at a time , mixing lightly with a fork .\n", + " * Use just enough water to make a dough which clings together .\n", + " * \\*\\*Can be made in processor to this point .\n", + " * \\*\\* .\n", + " * Shape dough into two equal size firm balls with hands .\n", + " * Wrap in plastic wrap and refrigerate until well chilled , at least one hour .\n", + " * Roll out half of dough on a lightly floured surface .\n", + " * Fit into 9-inch pie plate .\n", + " * Trim pastry at edges of plate with a little overhang .\n", + " * Mix together softened cream cheese , powdered sugar , egg and 2 teaspoons lemon juice .\n", + " * Spread in the bottom of pastry-lined pie plate .\n", + " * In a large bowl combine remaining ingredients except apples ; mix well .\n", + " * Add apples , tossing lightly to coat with sugar mixture .\n", + " * Fill pastry-lined pie plate with fruit mixture .\n", + " * Dot with butter .\n", + " * Roll out remaining dough and place over top of filling .\n", + " * Seal and flute edges ; cut vents .\n", + " * Decorate top with leftover pastry scraps , if desired .\n", + " * Brush top with egg white .\n", + " * Sprinkle with cinnamon sugar .\n", + " * Bake on bottom oven rack at 450F for 10 minutes ; reduce heat to 350F and continue baking for 40-50 minutes or until pastry is golden and fruit is tender ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "mix8\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "cut5\n", + "\n", + "cut\n", + "\n", + "\n", + "\n", + "mix8->cut5\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "refrigerate10\n", + "\n", + "refrigerate\n", + "\n", + "\n", + "\n", + "chill2\n", + "\n", + "chill\n", + "\n", + "\n", + "\n", + "refrigerate10->chill2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "chop0\n", + "\n", + "chop\n", 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"\n", + "egg->mix8\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "meal\n", + "\n", + "meal\n", + "\n", + "\n", + "\n", + "meal->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cinnamon\n", + "\n", + "cinnamon\n", + "\n", + "\n", + "\n", + "apple\n", + "\n", + "apple\n", + "\n", + "\n", + "\n", + "apple->peel0\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Best Kabobs Ever Pakistani Style\n", + "(7acbf18a4c)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '2 lbs ground beef'\n", + " * '12 bunch green onion'\n", + " * '2 serrano peppers , seeded and finely chopped'\n", + " * '12 bunch cilantro , chopped'\n", + " * 'salt and pepper'\n", + " * '12 teaspoon paprika'\n", + " * '12 teaspoon garam masala'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * In large bowl crumble ground beef and all ingredients .\n", + " * Mix it all up and shape into kabobs .\n", + " * Grill or pan cook ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "paprika\n", + "\n", + "paprika\n", + "\n", + "\n", + "\n", + "garam masala\n", + "\n", + "garam masala\n", + "\n", + "\n", + "\n", + "cilantro\n", + "\n", + "cilantro\n", + "\n", + "\n", + "\n", + "chop1\n", + "\n", + "chop\n", + "\n", + "\n", + "\n", + "cilantro->chop1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "salt\n", + "\n", + "salt\n", + "\n", + "\n", + "\n", + "cook0\n", + "\n", + "cook\n", + "\n", + "\n", + "\n", + "green onion\n", + "\n", + "green onion\n", + "\n", + "\n", + "\n", + "chop0\n", + "\n", + "chop\n", + "\n", + "\n", + "\n", + "ground beef\n", + "\n", + "ground beef\n", + "\n", + "\n", + "\n", + "grill0\n", + "\n", + "grill\n", + "\n", + "\n", + "\n", + "ground beef->grill0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "serrano pepper\n", + "\n", + "serrano pepper\n", + "\n", + "\n", + "\n", + "serrano pepper->chop0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "grill0->cook0\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## No Fuss Chicken\n", + "(1fedfc7d49)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '23 cups Flour'\n", + " * '1 teaspoon Rubbed Sage'\n", + " * '1 teaspoon Dried Basil'\n", + " * '1 teaspoon Seasoned Salt'\n", + " * '1/2 cups Butter Or Margarine'\n", + " * '4 pieces Boneless , Skinless Chicken Breasts'\n", + " * '2 cups Chicken Broth'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * In a bowl , combine the flour , sage , basil and seasoned salt .\n", + " * Coat each breast in the flour mixture and reserve remaining flour .\n", + " * In a large skillet , melt butter ; brown the chicken on all sides .\n", + " * Transfer to a slow cooker .\n", + " * Add 1/4 cup reserved flour mixture to the skillet and stir into butter until smooth .\n", + " * When the mixture begins to bubble , stir in the chicken broth and bring to a boil .\n", + " * Boil for 1 minute .\n", + " * Pour over the chicken .\n", + " * Cover and cook on high for 2-2 1/2 hours or on low for 4 hours .\n", + " * Serve over rice ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "mix1\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "brown0\n", + "\n", + "brown\n", + "\n", + "\n", + "\n", + "mix1->brown0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "boil3\n", + "\n", + "boil\n", + "\n", + "\n", + "\n", + "cook3\n", + "\n", + "cook\n", + "\n", + "\n", + "\n", + "boil3->cook3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "sage\n", + "\n", + "sage\n", + "\n", + "\n", + "\n", + "sage->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "chicken 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+ "\n", + "butter\n", + "\n", + "butter\n", + "\n", + "\n", + "\n", + "melt0\n", + "\n", + "melt\n", + "\n", + "\n", + "\n", + "butter->melt0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "rice\n", + "\n", + "rice\n", + "\n", + "\n", + "\n", + "melt0->boil4\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "chicken broth\n", + "\n", + "chicken broth\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Vietnamese Lemongrass Shrimp Salad with Vermicelli - Bun Tom Xao\n", + "(c0503567d5)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '6 ounces shrimp , cleaned and deveined'\n", + " * '2 stalks lemongrass'\n", + " * '2 tablespoons peanut oil'\n", + " * '4 cloves garlic , minced'\n", + " * '18 teaspoon red pepper flakes \\( optional \\)'\n", + " * '2 cups onions , cut into slivers'\n", + " * '2 teaspoons fish sauce'\n", + " * '1 teaspoon sugar'\n", + " * '2 cups shredded iceberg lettuce'\n", + " * '1 12 cups bean sprouts'\n", + " * '12 cup cilantro , sprigs'\n", + " * '12 cup basil sprig'\n", + " * '4 tablespoons chopped peanuts'\n", + " * '8 ounces rice vermicelli'\n", + " * '1 -1 12 cup nuoc nam \\( Nuoc Cham \\( Vietnamese Spicy Fish Sauce \\) \\)'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Bring water to a boil in a large pot ; stir in vermicelli .\n", + " * Cook until just tender and drain in colander .\n", + " * Flatten lemongrass with cleaver and mince white part ; discard rest .\n", + " * Heat oil in wok ; add garlic , lemongrass , and red pepper flakes .\n", + " * Cook until lemongrass is slightly wilted .\n", + " * Add onions and stir-fry until onions are tender .\n", + " * Mix fish sauce with sugar and add to wok with shrimp ; stir-fry 3-4 minutes more or until shrimp is cooked .\n", + " * For each salad place 1 cup of lettuce in bottom of bowl .\n", + " * Top with 3/4 cup of bean sprouts .\n", + " * Place half the cooked noodles over vegetables in bowl .\n", + " * Top noodles with lemongrass shrimp and onions .\n", + " * Garnish with peanuts .\n", + " * Serve with a plate of cilantro sprigs and basil sprigs .\n", + " * Also serve a bowl of Nuoc Mam , recipe # 25375 , about 1/2-3/4 cup per salad .\n", + " * Place '' Tuong Ot Sriracha '' \\( Viet hot sauce \\) or sambal oeleck on the table as condiments ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + 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"\n", + "tuong\n", + "\n", + "tuong\n", + "\n", + "\n", + "\n", + "tuong->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "red pepper\n", + "\n", + "red pepper\n", + "\n", + "\n", + "\n", + "red pepper->mix3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "place1\n", + "\n", + "place\n", + "\n", + "\n", + "\n", + "place1->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "peanut\n", + "\n", + "peanut\n", + "\n", + "\n", + "\n", + "peanut->chop0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "lemongrass\n", + "\n", + "lemongrass\n", + "\n", + "\n", + "\n", + "lemongrass->mix3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cook1\n", + "\n", + "cook\n", + "\n", + "\n", + "\n", + "cook1->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "water\n", + "\n", + "water\n", + "\n", + "\n", + "\n", + "mix5\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "water->mix5\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "clove garlic\n", + "\n", + "clove garlic\n", + "\n", + "\n", + "\n", + "clove garlic->mince0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix1->place1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "peanut oil\n", + "\n", + "peanut oil\n", + "\n", + "\n", + "\n", + "heat0\n", + "\n", + "heat\n", + "\n", + "\n", + "\n", + "peanut oil->heat0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "drain0\n", + "\n", + "drain\n", + "\n", + "\n", + "\n", + "rice vermicelli\n", + "\n", + "rice vermicelli\n", + "\n", + "\n", + "\n", + "boil0\n", + "\n", + "boil\n", + "\n", + "\n", + "\n", + "rice vermicelli->boil0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "fish sauce\n", + "\n", + "fish sauce\n", + "\n", + "\n", + "\n", + "fish sauce->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "boil0->mix5\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "iceberg lettuce\n", + "\n", + "iceberg lettuce\n", + "\n", + "\n", + "\n", + "iceberg lettuce->place3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "bean sprout\n", + "\n", + "bean sprout\n", + "\n", + "\n", + "\n", + "vegetable\n", + "\n", + "vegetable\n", + "\n", + "\n", + "\n", + "vegetable->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "noodle\n", + "\n", + "noodle\n", + "\n", + "\n", + "\n", + "noodle->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cut0\n", + "\n", + "cut\n", + "\n", + "\n", + "\n", + "cut0->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cook0\n", + "\n", + "cook\n", + "\n", + "\n", + "\n", + "cook0->drain0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "onion\n", + "\n", + "onion\n", + "\n", + "\n", + "\n", + "onion->cut0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "shrimp\n", + "\n", + "shrimp\n", + "\n", + "\n", + "\n", + "shrimp->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix5->cook0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "sugar\n", + "\n", + "sugar\n", + "\n", + "\n", + "\n", + "sugar->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "basil\n", + "\n", + "basil\n", + "\n", + "\n", + "\n", + "basil->mix4\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "heat0->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix3->cook1\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Skillet Chicken N' Broccoli\n", + "(63841318b2)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '1 teaspoon butter'\n", + " * '2 chicken breasts \\( or more if desired \\)'\n", + " * 'broccoli cheese soup'\n", + " * '13 cup water'\n", + " * '2 cups chopped broccoli'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Heat butter in a skillet .\n", + " * Once melted , add chicken and cook until chicken is slightly brown .\n", + " * Add soup , water and broccoli and heat until it boils .\n", + " * Cut stove down to low and cover .\n", + " * Cook about 10 more minutes , until chicken is done .\n", + " * When serving , ladle some of the soup on top along with broccoli .\n", + " * Add salt and pepper to taste ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "melt0\n", + "\n", + "melt\n", + "\n", + "\n", + "\n", + "mix1\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "melt0->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix4\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "chop0\n", + "\n", + "chop\n", + "\n", + "\n", + "\n", + "salt\n", + "\n", + "salt\n", + "\n", + "\n", + "\n", + "salt->mix4\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "broccoli cheese soup\n", + "\n", + "broccoli cheese soup\n", + "\n", + "\n", + "\n", + "broccoli cheese soup->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "pepper\n", + "\n", + "pepper\n", + "\n", + "\n", + "\n", + "pepper->mix4\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "heat0\n", + "\n", + "heat\n", + "\n", + "\n", + "\n", + "heat0->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "chicken breast\n", + "\n", + "chicken breast\n", + "\n", + "\n", + "\n", + "cook0\n", + "\n", + "cook\n", + "\n", + "\n", + "\n", + "chicken breast->cook0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "water\n", + "\n", + "water\n", + "\n", + "\n", + "\n", + "water->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cut2\n", + "\n", + "cut\n", + "\n", + "\n", + "\n", + "mix1->cut2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "broccoli\n", + "\n", + "broccoli\n", + "\n", + "\n", + "\n", + "broccoli->chop0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cook0->melt0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "butter\n", + "\n", + "butter\n", + "\n", + "\n", + "\n", + "butter->heat0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cut2->mix4\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Happy Happy Choy Choy\n", + "(31f04e3e48)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '2 cups finely shredded green cabbage'\n", + " * '2 cups finely shredded raw bok choy , dark green leaves only'\n", + " * '1 green onion , white part only , finely minced'\n", + " * '6 tablespoons white wine vinegar'\n", + " * '2 tablespoons vegetable oil'\n", + " * '1 12 tablespoons sugar'\n", + " * '12 tablespoon celery seed'\n", + " * '12 tablespoon dry mustard'\n", + " * '1 teaspoon sweet paprika'\n", + " * 'salt and pepper'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Thoroughly combine shredded cabbage , shredded bok choy and green onion .\n", + " * Whisk together vinaigrette ingredients .\n", + " * Pour onto cabbage mixture and toss thoroughly to coat .\n", + " * Refrigerate for at least one hour to allow bok choy to '' wilt '' a little ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "green leave\n", + "\n", + "green leave\n", + "\n", + "\n", + "\n", + "mustard\n", + "\n", + "mustard\n", + "\n", + "\n", + "\n", + "sugar\n", + "\n", + "sugar\n", + "\n", + "\n", + "\n", + "green onion\n", + "\n", + "green onion\n", + "\n", + "\n", + "\n", + "mince0\n", + "\n", + "mince\n", + "\n", + "\n", + "\n", + "green onion->mince0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "celery seed\n", + "\n", + "celery seed\n", + "\n", + "\n", + "\n", + "whisk0\n", + "\n", + "whisk\n", + "\n", + "\n", + "\n", + "refrigerate0\n", + "\n", + "refrigerate\n", + "\n", + "\n", + "\n", + "whisk0->refrigerate0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "paprika\n", + "\n", + "paprika\n", + "\n", + "\n", + "\n", + "refrigerate1\n", + "\n", + "refrigerate\n", + "\n", + "\n", + "\n", + "vinaigrette\n", + "\n", + "vinaigrette\n", + "\n", + "\n", + "\n", + "vinaigrette->whisk0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "vegetable oil\n", + "\n", + "vegetable oil\n", + "\n", + "\n", + "\n", + "pour0\n", + "\n", + "pour\n", + "\n", + "\n", + "\n", + "pour0->refrigerate1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "white wine vinegar\n", + "\n", + "white wine vinegar\n", + "\n", + "\n", + "\n", + "salt\n", + "\n", + "salt\n", + "\n", + "\n", + "\n", + "green cabbage\n", + "\n", + "green cabbage\n", + "\n", + "\n", + "\n", + "green cabbage->pour0\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Green Olive Pesto\n", + "(ed0221d288)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '1 cup firmly packed drained pimiento-stuffed green olives , rinsed well and patted dry'\n", + " * '1/3 cup pine nuts'\n", + " * '1 garlic clove , minced and mashed to a paste with 1/4 teaspoon salt'\n", + " * '1 cup finely chopped fresh parsley leaves'\n", + " * '1/4 cup extra-virgin olive oil'\n", + " * '2 tablespoons freshly grated Parmesan'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * In a food processor puree the olives with the pine nuts , the garlic paste , and the parsley , with the motor running add the oil in a stream and the Parmesan , and blend the mixture well .\n", + " * Serve the pesto with 1 pound pasta , cooked and drained , reserving 3/4 cup of the pasta liquid to thin the pesto .\n", + " * Or serve the pesto as a spread with crackers ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "olive oil\n", + "\n", + "olive oil\n", + "\n", + "\n", + "\n", + "mix0\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "olive oil->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mince0\n", + "\n", + "mince\n", + "\n", + "\n", + "\n", + "mash0\n", + "\n", + "mash\n", + "\n", + "\n", + "\n", + "mince0->mash0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "stream\n", + "\n", + "stream\n", + "\n", + "\n", + "\n", + "stream->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "parsley leaf\n", + "\n", + "parsley leaf\n", + "\n", + "\n", + "\n", + "chop0\n", + "\n", + "chop\n", + "\n", + "\n", + "\n", + "parsley leaf->chop0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "pesto\n", + "\n", + "pesto\n", + "\n", + "\n", + "\n", + "mix5\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "pesto->mix5\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "drain0\n", + "\n", + "drain\n", + "\n", + "\n", + "\n", + "drain0->mix5\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "green olive\n", + "\n", + "green olive\n", + "\n", + "\n", + "\n", + "rinse0\n", + "\n", + "rinse\n", + "\n", + "\n", + "\n", + "green olive->rinse0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "chop0->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "garlic clove\n", + "\n", + "garlic clove\n", + "\n", + "\n", + "\n", + "garlic clove->mince0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cracker\n", + "\n", + "cracker\n", + "\n", + "\n", + "\n", + "spread0\n", + "\n", + "spread\n", + "\n", + "\n", + "\n", + "cracker->spread0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cook0\n", + "\n", + "cook\n", + "\n", + "\n", + "\n", + "cook0->drain0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "pasta liquid\n", + "\n", + "pasta liquid\n", + "\n", + "\n", + "\n", + "pasta liquid->cook0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "pine nut\n", + "\n", + "pine nut\n", + "\n", + "\n", + "\n", + "pine nut->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "rinse0->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "spread0->mix5\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mash0->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Seitan BBQ\n", + "(5e8ff38459)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '2 teaspoons vegetable oil'\n", + " * '4 ounces seitan'\n", + " * '23 cup spicy barbecue sauce'\n", + " * '2 round sandwich buns'\n", + " * '6 slices dill pickles'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Heat oil to med high heat .\n", + " * Add seitan and cook until brown on both sides .\n", + " * Approx 5 minutes .\n", + " * Then add the BBQ sauce and simmer 10 minutes .\n", + " * Pam a skillet and heat over medium .\n", + " * Toast the sandwich buns on both sides \\[ about a minutes \\] .\n", + " * Spoon a little sauce on bottom bun 's top .\n", + " * \\[ A LITTLE unless you are a messy eater \\]\n", + " * Top with seitan , pickle slices and cap with top bun .\n", + " * Serve Asap ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "dill pickle\n", + "\n", + "dill pickle\n", + "\n", + "\n", + "\n", + "mix0\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "dill pickle->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "heat1\n", + "\n", + "heat\n", + "\n", + "\n", + "\n", + "mix1\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "heat1->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "toast\n", + "\n", + "toast\n", + "\n", + "\n", + "\n", + "toast->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "slice1\n", + "\n", + "slice\n", + "\n", + "\n", + "\n", + "mix0->slice1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "slice1->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "vegetable oil\n", + "\n", + "vegetable oil\n", + "\n", + "\n", + "\n", + "mix3\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "vegetable oil->mix3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix3->heat1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "seitan\n", + "\n", + "seitan\n", + "\n", + "\n", + "\n", + "seitan->mix3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "round sandwich bun\n", + "\n", + "round sandwich bun\n", + "\n", + "\n", + "\n", + "round sandwich bun->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "sauce\n", + "\n", + "sauce\n", + "\n", + "\n", + "\n", + "sauce->mix3\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Gluten-Free Cake Doughnuts\n", + "(d12d9dd4de)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '3-58 ounces , weight Cream Cheese'\n", + " * '2-18 ounces , weight Sugar'\n", + " * '4 Tablespoons Canola Oil'\n", + " * '8 Tablespoons Milk'\n", + " * '1 teaspoon , 1/4 pinches Vanilla'\n", + " * '1/4 teaspoons Salt'\n", + " * '7 ounces , weight Gluten Free Baking Mix'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Preheat oven to 350 degrees and grease doughnut pan well with oil or butter or margarine .\n", + " * Mix cream cheese , sugar , oil , milk , vanilla and salt together until well blended .\n", + " * Add baking mix and mix until well incorporated .\n", + " * Place mixture into a ziptop bag and snip off one corner .\n", + " * Pipe into the doughnut molds .\n", + " * Bake in the middle section of your oven for approximately 25 minutes .\n", + " * When they are done , the doughnuts will pull away from sides of pan and spring back when touched , just like a cake .\n", + " * Remove from pan and either frost , glaze , or my favorite sprinkle with powdered sugar and serve .\n", + " * I love them warm , but they are just as good cold .\n", + " * Enjoy ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "vanilla\n", + "\n", + "vanilla\n", + "\n", + "\n", + "\n", + "mix2\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "vanilla->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "bake7\n", + "\n", + "bake\n", + "\n", + "\n", + "\n", + "place6\n", + "\n", + "place\n", + "\n", + "\n", + "\n", + "bake7->place6\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "doughnut\n", + "\n", + "doughnut\n", + "\n", + "\n", + "\n", + "doughnut->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "sugar\n", + "\n", + "sugar\n", + "\n", + "\n", + "\n", + "sugar->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "salt\n", + "\n", + "salt\n", + "\n", + "\n", + "\n", + "salt->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "glaze\n", + "\n", + "glaze\n", + "\n", + "\n", + "\n", + "mix9\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "glaze->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "warm1\n", + "\n", + "warm\n", + 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"\n", + "sprinkle\n", + "\n", + "sprinkle\n", + "\n", + "\n", + "\n", + "sprinkle->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "gluten\n", + "\n", + "gluten\n", + "\n", + "\n", + "\n", + "gluten->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "warm5->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Pumpkin Tiramisu\n", + "(07a8fc5ae1)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '1 12 cups whipping cream'\n", + " * '34 cup sugar'\n", + " * '8 ounces mascarpone cheese'\n", + " * '15 ounces canned pumpkin'\n", + " * '34 teaspoon pumpkin pie spice'\n", + " * '3 ounces ladyfingers'\n", + " * '4 tablespoons rum'\n", + " * '2 ounces amaretti cookies , crushed'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * In a large bowl , whip the cream and sugar together until peaks form .\n", + " * Add the mascarpone , pumpkin and spice and beat just until blended and smooth .\n", + " * Set aside .\n", + " * Cut the ladyfingers in half .\n", + " * Line the bottom of a 9 inch springform pan with half of the ladyfingers .\n", + " * They will be crowded and overlap some .\n", + " * Sprinkle the ladyfingers with 2 T of the rum .\n", + " * spread with half of the cheese/pumpkin filling .\n", + " * Repeat , using the remaining ladyfingers , rum and filling .\n", + " * Smooth the top and cover tightly with plastic wrap and then foil .\n", + " * Place in fridge to chill overnight .\n", + " * To serve : Run a knife around the inside edge of the pan .\n", + " * Release the sides and place tiramisu on a serving plate .\n", + " * Sprinkle the top with the crushed amaretti cookies ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "place3\n", + "\n", + "place\n", + "\n", + "\n", + "\n", + "spread0\n", + "\n", + "spread\n", + "\n", + "\n", + "\n", + "place3->spread0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "ladyfinger\n", + "\n", + "ladyfinger\n", + "\n", + "\n", + "\n", + "cut0\n", + "\n", + "cut\n", + "\n", + "\n", + "\n", + "ladyfinger->cut0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "sugar\n", + "\n", + "sugar\n", + "\n", + "\n", + "\n", + "whip0\n", + "\n", + "whip\n", + "\n", + "\n", + "\n", + "sugar->whip0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "pumpkin\n", + 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"\n", + "\n", + "\n", + "place5\n", + "\n", + "place\n", + "\n", + "\n", + "\n", + "mix2->place5\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "chill2\n", + "\n", + "chill\n", + "\n", + "\n", + "\n", + "place5->chill2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "chill2->mix4\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "chill0\n", + "\n", + "chill\n", + "\n", + "\n", + "\n", + "chill0->place3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "rum\n", + "\n", + "rum\n", + "\n", + "\n", + "\n", + "rum->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "spread0->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix1->chill0\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Shepherd's Pie\n", + "(54e9b4a15a)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '1 small onion'\n", + " * '1 1/2 pounds ground beef'\n", + " * '2 \\( 8-ounce \\) cans tomato sauce'\n", + " * '1 1/2 cups mixed vegetables or niblet corn , prepared'\n", + " * 'Salt and freshly ground black pepper'\n", + " * '8 to 10 medium red new potatoes'\n", + " * '1 1/2 cups milk'\n", + " * '12 tablespoons butter'\n", + " * '1/2 cup sour cream'\n", + " * '2 cups instant biscuit mix'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Beef Layer : Saute onions in 2 tablespoons butter .\n", + " * Add ground beef .\n", + " * After beef is browned , add tomato sauce ; Mix in vegetables .\n", + " * Add salt and pepper , to taste .\n", + " * Potato Layer : Peel and slice potatoes 1/4-inch thick .\n", + " * Cook in boiling water for approximately 15 minutes or until fork-tender .\n", + " * Whip potatoes with electric mixer ; mix until moderately smooth .\n", + " * Do n't over beat them ; a few lumps are nice .\n", + " * Add 1/2 cup heated milk , 1/2 cup butter , and sour cream .\n", + " * Salt and pepper , to taste .\n", + " * Whip until mixed .\n", + " * Adjust thickness by adding more milk , if desired .\n", + " * Biscuit Layer : Combine biscuit mix and 1 cup milk .\n", + " * The mix should be thinner than normal biscuit mix but not runny .\n", + " * Preheat oven to 350 degrees F .\n", + " * Spray a 9 by 9 by 2-inch pan , or any similar casserole dish .\n", + " * Layer half way up with the mashed potatoes .\n", + " * Next , spread a layer of mixed vegetables or niblet corn on top of potatoes .\n", + " * Then add a layer of the meat .\n", + " * Pour biscuit mix over meat .\n", + " * Melt 4 tablespoons of butter and drizzle over top .\n", + " * Bake for approximately 35 to 45 minutes until top is golden brown .\n", + " * Note : Leftovers make this dish easy to put together .\n", + " * So if you have leftover pork roast or beef roast with gravy and mashed potatoes from Sunday dinner then this is an easy mid- week meal that will take only a few minutes ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "peel0\n", + "\n", + "peel\n", + "\n", + "\n", + "\n", + "whip6\n", + "\n", + "whip\n", + "\n", + "\n", + "\n", + "peel0->whip6\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cook0\n", + "\n", + "cook\n", + "\n", + "\n", + "\n", + "mix4\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "cook0->mix4\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "whip3\n", + "\n", + "whip\n", + "\n", + "\n", + "\n", + "melt0\n", + "\n", + "melt\n", + "\n", + "\n", + "\n", + "whip3->melt0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix9\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "beat7\n", + "\n", + "beat\n", + "\n", + "\n", + "\n", + "whip6->beat7\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "water\n", + "\n", + "water\n", + "\n", + "\n", + "\n", + "boil0\n", + "\n", + "boil\n", + "\n", + "\n", + "\n", + "water->boil0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "whip8\n", + "\n", + "whip\n", + "\n", + "\n", + "\n", + "mix2\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "whip8->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "bake7\n", + "\n", + "bake\n", + "\n", + "\n", + "\n", + "brown9\n", + "\n", + "brown\n", + "\n", + "\n", + "\n", + "bake7->brown9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "beat5\n", + "\n", + "beat\n", + "\n", + "\n", + "\n", + "mix4->beat5\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix3\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "beat5->mix3\n", + "\n", + "\n", + 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+ "\n", + "\n", + "tomato sauce\n", + "\n", + "tomato sauce\n", + "\n", + "\n", + "\n", + "tomato sauce->brown0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "red\n", + "\n", + "red\n", + "\n", + "\n", + "\n", + "ground beef\n", + "\n", + "ground beef\n", + "\n", + "\n", + "\n", + "ground beef->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "instant biscuit\n", + "\n", + "instant biscuit\n", + "\n", + "\n", + "\n", + "instant biscuit->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cream\n", + "\n", + "cream\n", + "\n", + "\n", + "\n", + "spread0\n", + "\n", + "spread\n", + "\n", + "\n", + "\n", + "spread0->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "beat1\n", + "\n", + "beat\n", + "\n", + "\n", + "\n", + "pour0->beat1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "beat1->bake1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "corn\n", + "\n", + "corn\n", + "\n", + "\n", + "\n", + "corn->spread0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "onion\n", + "\n", + "onion\n", + "\n", + "\n", + "\n", + "onion->saute0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "vegetable\n", + "\n", + "vegetable\n", + "\n", + "\n", + "\n", + "vegetable->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "meat\n", + "\n", + "meat\n", + "\n", + "\n", + "\n", + "meat->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "any\n", + "\n", + "any\n", + "\n", + "\n", + "\n", + "any->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "pork roast\n", + "\n", + "pork roast\n", + "\n", + "\n", + "\n", + "pork roast->mix9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "boil0->cook0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "melt0->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Absolutely Sinful Chocolate Chip Cookies\n", + "(e2874cab86)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '2 \\( 1 1/4 ounce \\) unsweetened chocolate squares'\n", + " * '12 cup butter'\n", + " * '2 cups all-purpose flour'\n", + " * '12 teaspoon baking soda'\n", + " * '1 teaspoon baking powder'\n", + " * '14 teaspoon salt'\n", + " * '1 14 cups white sugar'\n", + " * '2 large eggs'\n", + " * '1 teaspoon vanilla extract'\n", + " * '23 cup sour cream'\n", + " * '2 cups semi-sweet chocolate chips'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Preheat oven to 375F \\( 190C \\) .\n", + " * In the microwave or over a double-boiler , melt unsweetened chocolate and butter together , stirring occasionally until smooth .\n", + " * Sift together flour , baking soda , baking powder and salt ; set aside .\n", + " * In a medium bowl , beat sugar , eggs , and vanilla until light .\n", + " * Mix in the chocolate mixture until well blended .\n", + " * Stir in the sifted ingredients alternately with sour cream , then mix in chocolate chips .\n", + " * Drop by rounded tablespoonfuls onto ungreased cookie sheets .\n", + " * Bake for 8-10 minutes .\n", + " * Allow cookies to cool on baking sheet for 5 minutes before transferring to a wire rack to cool completely .\n", + " * Store in an airtight container ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "beat1\n", + "\n", + "beat\n", + "\n", + "\n", + "\n", + "mix0\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "beat1->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cream\n", + "\n", + "cream\n", + "\n", + "\n", + "\n", + "baking\n", + "\n", + "baking\n", + "\n", + "\n", + "\n", + "bake7\n", + "\n", + "bake\n", + "\n", + "\n", + "\n", + "melt1\n", + "\n", + "melt\n", + "\n", + "\n", + "\n", + "melt1->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "butter\n", + "\n", + "butter\n", + "\n", + "\n", + "\n", + "mix3\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "butter->mix3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "sugar\n", + "\n", + "sugar\n", + "\n", + "\n", + "\n", + "mix1\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "sugar->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "vanilla extract\n", + "\n", + "vanilla extract\n", + "\n", + "\n", + "\n", + "vanilla extract->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "salt\n", + "\n", + "salt\n", + "\n", + "\n", + "\n", + "salt->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix1->beat1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "chocolate chip\n", + "\n", + "chocolate chip\n", + "\n", + "\n", + "\n", + "cooky\n", + "\n", + "cooky\n", + "\n", + "\n", + "\n", + "chocolate\n", + "\n", + "chocolate\n", + "\n", + "\n", + "\n", + "chocolate->mix3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix3->melt1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "baking soda\n", + "\n", + "baking soda\n", + "\n", + "\n", + "\n", + "baking soda->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix0->bake7\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "flour\n", + "\n", + "flour\n", + "\n", + "\n", + "\n", + "flour->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "egg\n", + "\n", + "egg\n", + "\n", + "\n", + "\n", + "egg->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Lightly Glazed Stir Fried Vegetables\n", + "(ae8a0e901e)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '2 tablespoons peanut oil'\n", + " * '2 cups cauliflower florets'\n", + " * '2 cups broccoli florets'\n", + " * '1 cup carrot , sliced diagonally'\n", + " * '1 cup celery , sliced diagonally'\n", + " * '3 green onions , sliced'\n", + " * '1 red pepper \\( small \\)'\n", + " * '1 green pepper , thinly sliced \\( small \\)'\n", + " * '2 chicken bouillon cubes , low sodium is best'\n", + " * '1 cup boiling water'\n", + " * '2 teaspoons garlic powder \\( or 1 clove minced \\)'\n", + " * '1 teaspoon onion powder'\n", + " * '14 teaspoon pepper'\n", + " * '1 tablespoon cornstarch'\n", + " * '2 tablespoons water'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Heat wok or large skillet until very hot .\n", + " * Add oil and continue to heat .\n", + " * Add cauliflower , broccoli , carrot , celery and stir fry 2-3 minutes .\n", + " * Add green onion , red and green pepper and stir fry 2 minutes .\n", + " * Dissolve chicken bouillon granules in boiling water and stir in seasonings .\n", + " * Add broth to wok , cover and steam about 2 minutes or until vegetables are crisp-tender .\n", + " * Combine the water and cornstarch and slowly add to vegetables stirring gently to coat well .\n", + " * Heat through until thickened and serve immediately ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "cauliflower floret\n", + "\n", + "cauliflower floret\n", + "\n", + "\n", + "\n", + "mix1\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "cauliflower floret->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "heat6\n", + "\n", + "heat\n", + "\n", + "\n", + "\n", + "mix1->heat6\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix2\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "slice1\n", + "\n", + "slice\n", + "\n", + "\n", + "\n", + "mix2->slice1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "vegetable\n", + "\n", + "vegetable\n", + "\n", + "\n", + "\n", + "steam0\n", + "\n", + "steam\n", + "\n", + "\n", + "\n", + "vegetable->steam0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "onion\n", + "\n", + "onion\n", + "\n", + "\n", + "\n", + "slice3\n", + "\n", + "slice\n", + "\n", + "\n", + "\n", + "steam0->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "hot\n", + "\n", + "hot\n", + "\n", + "\n", + "\n", + "hot->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "water\n", + "\n", + "water\n", + "\n", + "\n", + "\n", + "boil0\n", + "\n", + "boil\n", + "\n", + "\n", + "\n", + "water->boil0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "garlic\n", + "\n", + "garlic\n", + "\n", + "\n", + "\n", + "mince0\n", + "\n", + "mince\n", + "\n", + "\n", + "\n", + "garlic->mince0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "broccoli floret\n", + "\n", + "broccoli floret\n", + "\n", + "\n", + "\n", + "broccoli floret->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "seasoning\n", + "\n", + "seasoning\n", + "\n", + "\n", + "\n", + "seasoning->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "broth\n", + "\n", + "broth\n", + "\n", + "\n", + "\n", + "broth->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "chicken bouillon cube\n", + "\n", + "chicken bouillon cube\n", + "\n", + "\n", + "\n", + "chicken bouillon cube->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "green pepper\n", + "\n", + "green pepper\n", + "\n", + "\n", + "\n", + "green pepper->slice3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "green onion\n", + "\n", + "green onion\n", + "\n", + "\n", + "\n", + "green onion->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "red pepper\n", + "\n", + "red pepper\n", + "\n", + "\n", + "\n", + "red pepper->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "celery\n", + "\n", + "celery\n", + "\n", + "\n", + "\n", + "celery->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "peanut oil\n", + "\n", + "peanut oil\n", + "\n", + "\n", + "\n", + "peanut oil->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "slice1->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "pepper\n", + "\n", + "pepper\n", + "\n", + "\n", + "\n", + "carrot\n", + "\n", + "carrot\n", + "\n", + "\n", + "\n", + "carrot->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "boil0->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Thai Melon Salad\n", + "(253180235f)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '3 garlic cloves , pureed'\n", + " * '2 tablespoons palm sugar or dark brown sugar'\n", + " * '1/4 cup fish sauce'\n", + " * '1/4 cup fresh lime juice'\n", + " * '3 or more serrano chiles to taste , stems removed and thinly sliced with seeds'\n", + " * '1 tablespoon chopped kaffir lime leaves or 1 teaspoon grated lime zest'\n", + " * '1/2 cup dried shrimp'\n", + " * '1/2 cup roasted , unsalted peanuts'\n", + " * '6 cups assorted melon cubes , in 1/2-inch cubes , each variety separated'\n", + " * '1/4 cup fresh cilantro leaves for garnish'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Dressing : Mix garlic , palm or brown sugar , fish sauce , lime juice , chiles , and lime leaves in a bowl .\n", + " * Roughly chop shrimp and peanuts by hand or in a food processor and add to garlic mixture .\n", + " * \\( The dressing can be made in advance and stored up to 3 days in the refrigerator . \\)\n", + " * To serve , arrange each variety of melon cubes in alternating rows on a platter or in individual bowls .\n", + " * Spoon dressing over melon in a strip and garnish with cilantro .\n", + " * Serve chilled ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "mix1\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "chill9\n", + "\n", + "chill\n", + "\n", + "\n", + "\n", + "mix1->chill9\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "brown1\n", + "\n", + "brown\n", + "\n", + "\n", + "\n", + "brown1->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "shrimp\n", + "\n", + "shrimp\n", + "\n", + "\n", + "\n", + "mix0\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "shrimp->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "chop1\n", + "\n", + "chop\n", + "\n", + "\n", + "\n", + "mix0->chop1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "melon\n", + "\n", + "melon\n", + "\n", + "\n", + "\n", + "melon->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "chop0\n", + "\n", + "chop\n", + "\n", + "\n", + "\n", + "leaf lime zest\n", + "\n", + "leaf lime zest\n", + "\n", + "\n", + "\n", + "grate0\n", + "\n", + "grate\n", + "\n", + "\n", + "\n", + "leaf lime zest->grate0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cilantro leave\n", + "\n", + "cilantro leave\n", + "\n", + "\n", + "\n", + "cilantro leave->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix2\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "mix2->brown1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "serrano chile\n", + "\n", + "serrano chile\n", + "\n", + "\n", + "\n", + "slice0\n", + "\n", + "slice\n", + "\n", + "\n", + "\n", + "serrano chile->slice0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "dressing\n", + "\n", + "dressing\n", + "\n", + "\n", + "\n", + "dressing->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "roast\n", + "\n", + "roast\n", + "\n", + "\n", + "\n", + "hand\n", + "\n", + "hand\n", + "\n", + "\n", + "\n", + "hand->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "peanut\n", + "\n", + "peanut\n", + "\n", + "\n", + "\n", + "peanut->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "fish sauce\n", + "\n", + "fish sauce\n", + "\n", + "\n", + "\n", + "fish sauce->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "slice0->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "lime juice\n", + "\n", + "lime juice\n", + "\n", + "\n", + "\n", + "lime juice->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "sugar\n", + "\n", + "sugar\n", + "\n", + "\n", + "\n", + "garlic clove\n", + "\n", + "garlic clove\n", + "\n", + "\n", + "\n", + "garlic clove->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "chop1->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "grate0->chop0\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Parmesan Roasted Potatoes\n", + "(37cc529532)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '1 12 lbs small red potatoes , cut into 1/2-inch thick slices'\n", + " * '3 tablespoons olive oil'\n", + " * '12 cup parmesan cheese , shredded'\n", + " * '14 cup breadcrumbs'\n", + " * '14 cup fresh parsley , minced'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Preheat oven to 375 .\n", + " * Place a baking sheet in the oven to preheat at the same time .\n", + " * Toss potatoes with oil in a bowl .\n", + " * Combine Parmesan , bread crumbs , and parsley .\n", + " * Add to potatoes and toss gently until potatoes are coated .\n", + " * Arrange potatoes on preheated baking sheet .\n", + " * Bake until potatoes are tender , 30-35 minute ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "mince0\n", + "\n", + "mince\n", + "\n", + "\n", + "\n", + "mix1\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "mince0->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cut0\n", + "\n", + "cut\n", + "\n", + "\n", + "\n", + "slice0\n", + "\n", + "slice\n", + "\n", + "\n", + "\n", + "cut0->slice0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cheese\n", + "\n", + "cheese\n", + "\n", + "\n", + "\n", + "bake0\n", + "\n", + "bake\n", + "\n", + "\n", + "\n", + "mix1->bake0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "red potato\n", + "\n", + "red potato\n", + "\n", + "\n", + "\n", + "red potato->cut0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "olive oil\n", + "\n", + "olive oil\n", + "\n", + "\n", + "\n", + "olive oil->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "parsley\n", + "\n", + "parsley\n", + "\n", + "\n", + "\n", + "parsley->mince0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "slice0->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Ladybug Onigiri Bento\n", + "(97688d522c)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '80 grams warm cooked white rice'\n", + " * '3 imitation crab sticks'\n", + " * '2 sheets toasted nori seaweed \\( 8-sheet pack \\)'\n", + " * '1/8 slice sliced cheese \\( something that wo n't melt easily \\)'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * After shaping a round rice ball with some cling film , wrap the rice ball with the red part of the imitation crab sticks and some nori seaweed .\n", + " * Cut 2 small circles out of the sliced cheese to create the eyes .\n", + " * You can either use a skewer to cut them out , or punch them out with a fat straw .\n", + " * Make the pupils and spots with some circles punched out of a sheet of nori seaweed .\n", + " * Stick all of the separate parts on to the ladybird to complete .\n", + " * Try making some smiling ladybugs or packing in some 'friends ' just to have some extra fun making them ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "crab\n", + "\n", + "crab\n", + "\n", + "\n", + "\n", + "mix0\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "crab->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "circle\n", + "\n", + "circle\n", + "\n", + "\n", + "\n", + "circle->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cut0\n", + "\n", + "cut\n", + "\n", + "\n", + "\n", + "fat\n", + "\n", + "fat\n", + "\n", + "\n", + "\n", + "cut1\n", + "\n", + "cut\n", + "\n", + "\n", + "\n", + "fat->cut1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "toast nori seaweed\n", + "\n", + "toast nori seaweed\n", + "\n", + "\n", + "\n", + "toast nori seaweed->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "warm0\n", + "\n", + "warm\n", + "\n", + "\n", + "\n", + "cook0\n", + "\n", + "cook\n", + "\n", + "\n", + "\n", + "warm0->cook0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "pupil\n", + "\n", + "pupil\n", + "\n", + "\n", + "\n", + "pupil->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "extra\n", + "\n", + "extra\n", + "\n", + "\n", + "\n", + "red\n", + "\n", + "red\n", + "\n", + "\n", + "\n", + "red->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "melt0\n", + "\n", + "melt\n", + "\n", + "\n", + "\n", + "slice0\n", + "\n", + "slice\n", + "\n", + "\n", + "\n", + "melt0->slice0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "rice\n", + "\n", + "rice\n", + "\n", + "\n", + "\n", + "rice->warm0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "spot\n", + "\n", + "spot\n", + "\n", + "\n", + "\n", + "spot->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cook0->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "slice0->cut0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cheese\n", + "\n", + "cheese\n", + "\n", + "\n", + "\n", + "cheese->melt0\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## (I Can't Believe It's) Mashed Cauliflower\n", + "(856466a7bc)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '1 cup water'\n", + " * '10 ounces frozen cauliflower'\n", + " * '2 tablespoons canola oil'\n", + " * '1/2 large onion , sliced'\n", + " * '2 cloves garlic , minced'\n", + " * '2 tablespoons nonfat plain yogurt'\n", + " * '1 tablespoon chopped fresh parsley \\( optional \\)'\n", + " * '1 teaspoon garlic and herb seasoning blend \\( such as Mrs . Dash \\) , or to taste \\( optional \\)'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Bring water to a boil in a saucepan .\n", + " * Add cauliflower , reduce heat to medium-low , place a cover on saucepan , and cook cauliflower until tender , about 10 minutes ; drain .\n", + " * Set cauliflower aside to cool for about 5 minutes ; transfer to a blender .\n", + " * Heat oil in a skillet over medium-high heat .\n", + " * Cook and stir onion and garlic in hot oil until tender , 3 to 5 minutes .\n", + " * Set aside to cool for about 5 minutes ; add to blender .\n", + " * Pour yogurt into blender with cauliflower and onion mixture ; blend until smooth .\n", + " * Season with parsley and garlic and herb seasoning to serve ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "parsley\n", + "\n", + "parsley\n", + "\n", + "\n", + "\n", + "chop0\n", + "\n", + "chop\n", + "\n", + "\n", + "\n", + "parsley->chop0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix2\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "chop0->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cool0\n", + "\n", + "cool\n", + "\n", + "\n", + "\n", + "pour0\n", + "\n", + "pour\n", + "\n", + "\n", + "\n", + "cool0->pour0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cook0\n", + "\n", + "cook\n", + "\n", + "\n", + "\n", + "cook0->cool0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix0\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "cool3\n", + "\n", + "cool\n", + "\n", + "\n", + "\n", + "mix0->cool3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "pour0->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "heat1\n", + "\n", + "heat\n", + "\n", + "\n", + "\n", + "place0\n", + "\n", + "place\n", + "\n", + "\n", + "\n", + "heat1->place0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "herb season\n", + "\n", + "herb season\n", + "\n", + "\n", + "\n", + "blend0\n", + "\n", + "blend\n", + "\n", + "\n", + "\n", + "herb season->blend0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cook1\n", + "\n", + "cook\n", + "\n", + "\n", + "\n", + "cook1->heat1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "slice0\n", + "\n", + "slice\n", + "\n", + "\n", + "\n", + "slice0->cook0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "water\n", + "\n", + "water\n", + "\n", + "\n", + "\n", + "water->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mince0\n", + "\n", + "mince\n", + "\n", + "\n", + "\n", + "mince0->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "clove garlic\n", + "\n", + "clove garlic\n", + "\n", + "\n", + "\n", + "clove garlic->mince0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "blend0->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cauliflower\n", + "\n", + "cauliflower\n", + "\n", + "\n", + "\n", + "cauliflower->cook1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cool3->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "canola oil\n", + "\n", + "canola oil\n", + "\n", + "\n", + "\n", + "heat0\n", + "\n", + "heat\n", + "\n", + "\n", + "\n", + "canola oil->heat0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "onion\n", + "\n", + "onion\n", + "\n", + "\n", + "\n", + "onion->slice0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "place0->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "heat0->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Apple Crisp\n", + "(d529f51243)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '4 cups sliced apples'\n", + " * '1 cup sugar'\n", + " * '34 cup flour'\n", + " * '12 teaspoon cinnamon'\n", + " * '14 teaspoon nutmeg'\n", + " * '1 dash salt'\n", + " * '12 cup butter'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Spread apples evenly over the base of a 9 '' pie plate .\n", + " * Combine all dry ingredients with butter until it forms a crumbly consistency .\n", + " * Pour mixture evenly over apple slices .\n", + " * Bake at 375F \\( 190C \\) for 45 minutes or until top is brown ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "butter\n", + "\n", + "butter\n", + "\n", + "\n", + "\n", + "mix1\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "butter->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cinnamon\n", + "\n", + "cinnamon\n", + "\n", + "\n", + "\n", + "flour\n", + "\n", + "flour\n", + "\n", + "\n", + "\n", + "pie\n", + "\n", + "pie\n", + "\n", + "\n", + "\n", + "pie->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "base\n", + "\n", + "base\n", + "\n", + "\n", + "\n", + "base->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "bake1\n", + "\n", + "bake\n", + "\n", + "\n", + "\n", + "mix1->bake1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "slice0\n", + "\n", + "slice\n", + "\n", + "\n", + "\n", + "spread0\n", + "\n", + "spread\n", + "\n", + "\n", + "\n", + "slice0->spread0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "brown0\n", + "\n", + "brown\n", + "\n", + "\n", + "\n", + "pour0\n", + "\n", + "pour\n", + "\n", + "\n", + "\n", + "spread0->pour0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "pour0->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "bake1->brown0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "salt\n", + "\n", + "salt\n", + "\n", + "\n", + "\n", + "sugar\n", + "\n", + "sugar\n", + "\n", + "\n", + "\n", + "nutmeg\n", + "\n", + "nutmeg\n", + "\n", + "\n", + "\n", + "apple\n", + "\n", + "apple\n", + "\n", + "\n", + "\n", + "apple->slice0\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Enchilada Sauce\n", + "(61f009cd57)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '1 Tablespoon Flour'\n", + " * '2 Tablespoons Canola Oil'\n", + " * '1/4 cups Chili Powder'\n", + " * '2 cups Chicken Stock'\n", + " * '3 ounces , fluid Tomato Paste'\n", + " * '1 teaspoon Ground Cumin'\n", + " * '1/2 teaspoons Salt'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * In a saucepan over medium heat , brown the flour in the oil , stirring with a whisk .\n", + " * Cook for 2-3 mins until the flour begins to brown .\n", + " * \\( Its much like a roux , except not as thick . \\)\n", + " * Add the chili powder and cook for another minute or so until it begins to darken and bubble .\n", + " * Be careful breathing in the fumes from the cooking chili powder its strong !\n", + " * Add stock , tomato paste , and cumin and whisk rapidly until the mixture comes to a boil .\n", + " * Reduce the heat and simmer for 15 minutes .\n", + " * The sauce will thicken and smooth out .\n", + " * When youre done , youll have a little over a pint of sauce .\n", + " * I figure a serving is about 2 T \\( or 35 g \\) .\n", + " * The nutritional info below is based on 25 servings of 35g each .\n", + " * Finally the Nutritional Info : \\( per 2 T serving \\) Calories : 27 .\n", + " * Fat : 1.7g .\n", + " * Sodium : 159mg .\n", + " * Carbs : 2.9g .\n", + " * Fiber : 0.9g .\n", + " * Protein : 0.7g ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "canola oil\n", + "\n", + "canola oil\n", + "\n", + "\n", + "\n", + "brown0\n", + "\n", + "brown\n", + "\n", + "\n", + "\n", + "canola oil->brown0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "sauce\n", + "\n", + "sauce\n", + "\n", + "\n", + "\n", + "mix0\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "heat1\n", + "\n", + "heat\n", + "\n", + "\n", + "\n", + "mix0->heat1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix2\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "simmer1\n", + "\n", + "simmer\n", + "\n", + "\n", + "\n", + "mix2->simmer1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "flour\n", + "\n", + "flour\n", + "\n", + "\n", + "\n", + "brown1\n", + "\n", + "brown\n", + "\n", + "\n", + "\n", + "flour->brown1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "fluid tomato\n", + "\n", + "fluid tomato\n", + "\n", + "\n", + "\n", + "mix1\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "fluid tomato->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "roux\n", + "\n", + "roux\n", + "\n", + "\n", + "\n", + "roux->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "heat0\n", + "\n", + "heat\n", + "\n", + "\n", + "\n", + "mix1->heat0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix3\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "brown0->mix3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cook1\n", + "\n", + "cook\n", + "\n", + "\n", + "\n", + "mix5\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "cook1->mix5\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "heat2\n", + "\n", + "heat\n", + "\n", + "\n", + "\n", + "heat2->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "simmer4\n", + "\n", + "simmer\n", + "\n", + "\n", + "\n", + "simmer4->mix3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix5->simmer4\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "heat6\n", + "\n", + "heat\n", + "\n", + "\n", + "\n", + "brown1->heat6\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "mix3->heat2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cook0\n", + "\n", + "cook\n", + "\n", + "\n", + "\n", + "cook0->mix3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cook2\n", + "\n", + "cook\n", + "\n", + "\n", + "\n", + "heat6->cook2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cook2->mix2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "fat\n", + "\n", + "fat\n", + "\n", + "\n", + "\n", + "salt\n", + "\n", + "salt\n", + "\n", + "\n", + "\n", + "heat1->cook1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "chicken stock\n", + "\n", + "chicken stock\n", + "\n", + "\n", + "\n", + "chicken stock->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "ground cumin\n", + "\n", + "ground cumin\n", + "\n", + "\n", + "\n", + "ground cumin->cook0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "heat0->mix5\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "chili\n", + "\n", + "chili\n", + "\n", + "\n", + "\n", + "chili->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "base\n", + "\n", + "base\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "for i in range(100):\n", + " rec = Recipe(random.choice(ids)['id'])\n", + " rec.display_recipe()\n", + " ing = rec.extract_ingredients()\n", + " rec.apply_instructions(debug=False)\n", + " g = RecipeGraph.fromRecipeState(rec._recipe_state)._dot\n", + " display(g.compile_graph(simplify=True))\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.3" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/RecipeAnalysis/MatrixGeneration.ipynb b/RecipeAnalysis/MatrixGeneration.ipynb new file mode 100644 index 0000000..9f8d588 --- /dev/null +++ b/RecipeAnalysis/MatrixGeneration.ipynb @@ -0,0 +1,383 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Matrix Generation" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + " \n", + " " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import sys\n", + "sys.path.append(\"../\")\n", + "from Recipe import Recipe, Ingredient, RecipeGraph\n", + "\n", + "import settings\n", + "import db.db_settings as db_settings\n", + "from db.database_connection import DatabaseConnection\n", + "\n", + "import random\n", + "\n", + "import itertools\n", + "\n", + "import numpy as np" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "DatabaseConnection(db_settings.db_host,\n", + " db_settings.db_port,\n", + " db_settings.db_user,\n", + " db_settings.db_pw,\n", + " db_settings.db_db,\n", + " db_settings.db_charset)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: user 8.71 s, sys: 942 ms, total: 9.66 s\n", + "Wall time: 9.77 s\n" + ] + } + ], + "source": [ + "%time ids = DatabaseConnection.global_single_query(\"select id from recipes\")" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "import AdjacencyMatrix" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "* create Adjacency Matrix" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "def add_entries_from_rec_state(rec_state, m_act, m_mix, m_base_act, m_base_mix):\n", + " mix_m, mix_label = rec_state.get_mixing_matrix()\n", + " act_m, act_a, act_i = rec_state.get_action_matrix()\n", + "\n", + " # create list of tuples: [action, ingredient]\n", + " seen_actions = np.array(list(itertools.product(act_a,act_i))).reshape((len(act_a), len(act_i), 2))\n", + "\n", + " # create list of tuples [ingredient, ingredient]\n", + " seen_mixes = np.array(list(itertools.product(mix_label,mix_label))).reshape((len(mix_label), len(mix_label), 2))\n", + "\n", + " seen_actions = seen_actions[act_m == 1]\n", + " seen_mixes = seen_mixes[mix_m == 1]\n", + "\n", + " seen_actions = set([tuple(x) for x in seen_actions.tolist()])\n", + " seen_mixes = set([tuple(x) for x in seen_mixes.tolist()])\n", + " \n", + " seen_base_actions = set()\n", + " seen_base_mixes = set()\n", + " \n", + " for act, ing in seen_actions:\n", + " m_act.add_entry(act, ing.to_json(), 1)\n", + " if (act, ing._base_ingredient) not in seen_base_actions:\n", + " seen_base_actions.add((act, ing._base_ingredient))\n", + " m_base_act.add_entry(act, ing._base_ingredient, 1)\n", + " \n", + " for x,y in seen_mixes:\n", + " xj = x.to_json()\n", + " yj = y.to_json()\n", + " if xj < yj:\n", + " m_mix.add_entry(xj,yj,1)\n", + " if (x._base_ingredient, y._base_ingredient) not in seen_base_mixes:\n", + " seen_base_mixes.add((x._base_ingredient, y._base_ingredient))\n", + " m_base_mix.add_entry(x._base_ingredient, y._base_ingredient, 1)\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "m_act = AdjacencyMatrix.adj_matrix()\n", + "m_mix = AdjacencyMatrix.adj_matrix(True)\n", + "m_base_act = AdjacencyMatrix.adj_matrix()\n", + "m_base_mix = AdjacencyMatrix.adj_matrix(True)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "warning: recipe a9dc137b48 has no ingredient! skipping it\n", + "CPU times: user 13min 35s, sys: 3.52 s, total: 13min 39s\n", + "Wall time: 13min 50s\n" + ] + } + ], + "source": [ + "%%time\n", + "for i in range(10000):\n", + " id = random.choice(ids)['id']\n", + " rec = Recipe(id)\n", + " #rec.display_recipe()\n", + " ing = rec.extract_ingredients()\n", + " if len(ing) == 0:\n", + " print(f\"warning: recipe {id} has no ingredient! skipping it\")\n", + " continue\n", + " rec.apply_instructions(debug=False)\n", + " add_entries_from_rec_state(rec._recipe_state, m_act, m_mix, m_base_act, m_base_mix)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "import pickle" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "pickle.dump(m_act, file=open(\"m_act.pickle\", 'wb'))\n", + "pickle.dump(m_mix, file=open(\"m_mix.pickle\", 'wb'))\n", + "pickle.dump(m_base_act, file=open(\"m_base_act.pickle\", 'wb'))\n", + "pickle.dump(m_base_mix, file=open(\"m_base_mix.pickle\", 'wb'))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "c_mix = m_mix.get_csr()\n", + "c_act = m_act.get_csr()\n", + "c_base_mix = m_base_mix.get_csr()\n", + "c_base_act = m_base_act.get_csr()" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(65, 64699) (71548, 71548)\n", + "113994 537369\n", + "(65, 4738) (5850, 5850)\n", + "30820 122390\n" + ] + } + ], + "source": [ + "print(c_act.shape, c_mix.shape)\n", + "print(len(c_act.nonzero()[0]),len(c_mix.nonzero()[0]))\n", + "print(c_base_act.shape, c_base_mix.shape)\n", + "print(len(c_base_act.nonzero()[0]),len(c_base_mix.nonzero()[0]))" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(64, 63787) (70933, 70933)\n", + "112841 524285\n" + ] + } + ], + "source": [ + "print(c_act.shape, c_mix.shape)\n", + "print(len(c_act.nonzero()[0]),len(c_mix.nonzero()[0]))" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "17560" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.sum(c_act.toarray() > 1)" + ] + }, + { + "cell_type": "code", + "execution_count": 99, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([[1, 1, 0, ..., 0, 0, 0],\n", + " [0, 0, 1, ..., 0, 0, 0],\n", + " [0, 0, 0, ..., 0, 0, 0],\n", + " ...,\n", + " [0, 0, 0, ..., 0, 0, 0],\n", + " [0, 0, 0, ..., 0, 0, 0],\n", + " [0, 0, 0, ..., 0, 0, 0]], dtype=int64)" + ] + }, + "execution_count": 99, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "* values after 100:\n", + "```\n", + "(53, 1498) (1620, 1620)\n", + "1982 6489\n", + "```\n", + "\n", + "* after 1000:\n", + "```\n", + "(60, 9855) (10946, 10946)\n", + "15446 59943\n", + "```\n", + "\n", + "* after 10000:\n", + "```\n", + "(65, 65235) (72448, 72448)\n", + "114808 546217\n", + "```" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.3" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/RecipeAnalysis/Playground.ipynb b/RecipeAnalysis/Playground.ipynb new file mode 100644 index 0000000..bfac47b --- /dev/null +++ b/RecipeAnalysis/Playground.ipynb @@ -0,0 +1,113 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Playground" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "from graphviz import Digraph" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "dot = Digraph(comment=\"testgraph\")" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "dot.node(\"B\", \"test2\", shape=\"diamond\")" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "%3\n", + "\n", + "\n", + "\n", + "A\n", + "\n", + "test\n", + "\n", + "\n", + "\n", + "B\n", + "\n", + "test2\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dot" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.3" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/RecipeAnalysis/Recipe Analysis.ipynb b/RecipeAnalysis/Recipe Analysis.ipynb index 706cf36..e443adf 100644 --- a/RecipeAnalysis/Recipe Analysis.ipynb +++ b/RecipeAnalysis/Recipe Analysis.ipynb @@ -9,18 +9,43 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 3, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + " \n", + " " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "import sys\n", "sys.path.append(\"../\")\n", - "from Recipe import Recipe" + "from Recipe import Recipe, Ingredient, RecipeGraph" ] }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -31,7 +56,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ @@ -40,16 +65,16 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 4, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } @@ -72,11 +97,20 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 7, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: user 8.22 s, sys: 1.25 s, total: 9.46 s\n", + "Wall time: 9.56 s\n" + ] + } + ], "source": [ - "ids = DatabaseConnection.global_single_query(\"select id from recipes\")" + "%time ids = DatabaseConnection.global_single_query(\"select id from recipes\")" ] }, { @@ -88,23 +122,23 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ - "test_rec = Recipe(random.choice(ids)['id'])" + "test_rec = Recipe('c2a7a5333f')" ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/markdown": [ - "## Pat LaFriedas Filet Mignon Steak Sandwich\n", - "(eaed08c862)" + "## Whipped Sweet Potatoes with Nutmeg and Lemon\n", + "(c2a7a5333f)" ], "text/plain": [ "" @@ -128,15 +162,15 @@ { "data": { "text/markdown": [ - " * '4 tablespoons canola or other neutral-flavored oil , plus more as needed'\n", - " * '2 large sweet yellow onions or Spanish onions , thinly sliced \\( about 3 cups \\)'\n", - " * '6 ounces thinly sliced Monterey Jack cheese'\n", - " * '1 cup beef stock'\n", - " * '1 1/2 teaspoons balsamic glaze'\n", - " * '12 \\( 1 1/2-inch thick \\) filet medallions \\( about 1 1/2 pounds \\)'\n", - " * '1 tablespoon kosher salt'\n", - " * '1/2 teaspoon turbinado sugar or light brown sugar'\n", - " * '4 demi-baguettes \\( or 6-inch \\) segments of a long baguette'" + " * '5 pounds deep orange sweet potatoes \\( yams \\) , peeled , cut into 2-inch pieces'\n", + " * '1/2 cup \\( 1 stick \\) butter , room temperature'\n", + " * '3 tablespoons unsulfured molasses'\n", + " * '2 teaspoons grated lemon peel'\n", + " * '1 1/2 teaspoons ground nutmeg'\n", + " * 'Salt and pepper'\n", + " * 'Minced fresh parsley'\n", + " * 'Grated lemon peel'\n", + " * 'Ground nutmeg'" ], "text/plain": [ "" @@ -160,23 +194,17 @@ { "data": { "text/markdown": [ - " * In a large skillet , heat 2 tablespoons of the oil over medium heat until it slides easily in the pan , 2 to 3 minutes .\n", - " * Add the onions and cook , stirring occasionally so they do n't stick to the pan , until they are soft and caramelized , about 20 minutes .\n", - " * Spread the onions out over the surface of the pan .\n", - " * Remove from the heat and lay the cheese on top of the onions , letting it melt .\n", - " * To make a jus , in a small saucepan , bring the stock to a simmer over medium heat .\n", - " * Remove from the heat and stir in the balsamic glaze .\n", - " * Cover the pan to keep the jus warm .\n", - " * Season the meat on both sides with the salt and sugar .\n", - " * In another large skillet , heat the remaining 2 tablespoons oil over high heat .\n", - " * Add half the medallions , or as many as will fit in a single layer , and sear them until they are caramelized , 1 to 1 1/2 minutes per side .\n", - " * Cook the remaining medallions in the same way , adding more oil and letting it get hot before adding the meat to the pan .\n", - " * Meanwhile , without opening them , toast the baguettes so that the outsides , top and bottom , are hot and crispy .\n", - " * Halve the baguettes horizontally , leaving them hinged on one side .\n", - " * To assemble the sandwiches , lay 3 medallions on the bottom of each baguette .\n", - " * Top with the onions and cheese , dividing them equally among the sandwiches .\n", - " * Drizzle 1/4 cup of the jus on the inside top half of each baguette .\n", - " * Close up the sandwiches and you 're good to go ." + " * Cook sweet potatoes in large pot of boiling salted water until tender , about 15 minutes .\n", + " * Drain well .\n", + " * Transfer to large bowl and puree in mixer or processor in batches .\n", + " * Return to pot .\n", + " * Mix in butter , molasses , 2 teaspoons lemon peel and 1 1/2 teaspoons nutmeg .\n", + " * Season with salt and pepper .\n", + " * \\( Can be prepared 1 day ahead .\n", + " * Cover and refrigerate . \\)\n", + " * Stir potato mixture over medium heat to rewarm and thicken slightly .\n", + " * Transfer potatoes to serving bowl .\n", + " * Top with parsley , lemon and nutmeg ." ], "text/plain": [ "" @@ -189,14 +217,17581 @@ "name": "stdout", "output_type": "stream", "text": [ - "CPU times: user 1.31 ms, sys: 7.65 ms, total: 8.96 ms\n", - "Wall time: 7.88 ms\n" + "CPU times: user 9.53 ms, sys: 0 ns, total: 9.53 ms\n", + "Wall time: 8.74 ms\n" ] } ], "source": [ "%time test_rec.display_recipe()" ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[peel|cut 🠊 orange (last touched @ 0),\n", + " 🠊 butter (last touched @ 0),\n", + " 🠊 unsulfured molasses (last touched @ 0),\n", + " peel|grate 🠊 lemon (last touched @ 0),\n", + " 🠊 ground nutmeg (last touched @ 0),\n", + " 🠊 salt (last touched @ 0),\n", + " 🠊 parsley (last touched @ 0),\n", + " peel 🠊 lemon (last touched @ 0),\n", + " 🠊 nutmeg (last touched @ 0)]" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "test_rec.extract_ingredients()" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/markdown": [ + "----\n", + "* **instruction 1**:\n", + "`Cook sweet potatoes in large pot of boiling salted water until tender , about 15 minutes .`\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "apply actions regular rule based:\n", + "\tapply cook on cook 🠊 potato (last touched @ 1)\n", + "\tapply boil on boil 🠊 water (last touched @ 1)\n", + "try to match unused actions:\n", + "\n", + "unused actions: [] \n", + "unused ings: []\n", + "\n", + "mixing all ingredients in this instruction:\n", + "\t* cook 🠊 potato (last touched @ 1)\n", + "\t* boil 🠊 water (last touched @ 1)\n", + "\n", + "state after instruction 1:\n", + "• peel|cut 🠊 orange (last touched @ 0)\n", + "• 🠊 butter (last touched @ 0)\n", + "• 🠊 unsulfured molasses (last touched @ 0)\n", + "• peel|grate 🠊 lemon (last touched @ 0)\n", + "• 🠊 ground nutmeg (last touched @ 0)\n", + "• 🠊 salt (last touched @ 0)\n", + "• 🠊 parsley (last touched @ 0)\n", + "• peel 🠊 lemon (last touched @ 0)\n", + "• 🠊 nutmeg (last touched @ 0)\n", + "• cook 🠊 potato (last touched @ 1)\n", + "• boil 🠊 water (last touched @ 1)\n", + "\n", + "\n", + "\n" + ] + }, + { + "data": { + "text/markdown": [ + "----\n", + "* **instruction 2**:\n", + "`Drain well .`\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "apply actions regular rule based:\n", + "try to match unused actions:\n", + "\n", + "unused actions: ['drain'] \n", + "unused ings: []\n", + "\n", + "mixing ingredients based on mixing actions with last instruction:\n", + "\t* cook 🠊 potato (last touched @ 1)\n", + "\t* boil 🠊 water (last touched @ 1)\n", + "mixing all ingredients in this instruction:\n", + "\n", + "no ingredients found. So apply actions on all ingredients that are touched so far:\n", + "\n", + "state after instruction 2:\n", + "• peel|cut 🠊 orange (last touched @ 0)\n", + "• 🠊 butter (last touched @ 0)\n", + "• 🠊 unsulfured molasses (last touched @ 0)\n", + "• peel|grate 🠊 lemon (last touched @ 0)\n", + "• 🠊 ground nutmeg (last touched @ 0)\n", + "• 🠊 salt (last touched @ 0)\n", + "• 🠊 parsley (last touched @ 0)\n", + "• peel 🠊 lemon (last touched @ 0)\n", + "• 🠊 nutmeg (last touched @ 0)\n", + "• cook|drain 🠊 potato (last touched @ 2)\n", + "• boil|drain 🠊 water (last touched @ 2)\n", + "\n", + "\n", + "\n" + ] + }, + { + "data": { + "text/markdown": [ + "----\n", + "* **instruction 3**:\n", + "`Transfer to large bowl and puree in mixer or processor in batches .`\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "apply actions regular rule based:\n", + "try to match unused actions:\n", + "\n", + "unused actions: [] \n", + "unused ings: []\n", + "\n", + "mixing ingredients based on mixing actions with last instruction:\n", + "\t* cook|drain 🠊 potato (last touched @ 2)\n", + "\t* boil|drain 🠊 water (last touched @ 2)\n", + "mixing all ingredients in this instruction:\n", + "\n", + "state after instruction 3:\n", + "• peel|cut 🠊 orange (last touched @ 0)\n", + "• 🠊 butter (last touched @ 0)\n", + "• 🠊 unsulfured molasses (last touched @ 0)\n", + "• peel|grate 🠊 lemon (last touched @ 0)\n", + "• 🠊 ground nutmeg (last touched @ 0)\n", + "• 🠊 salt (last touched @ 0)\n", + "• 🠊 parsley (last touched @ 0)\n", + "• peel 🠊 lemon (last touched @ 0)\n", + "• 🠊 nutmeg (last touched @ 0)\n", + "• cook|drain 🠊 potato (last touched @ 2)\n", + "• boil|drain 🠊 water (last touched @ 2)\n", + "\n", + "\n", + "\n" + ] + }, + { + "data": { + "text/markdown": [ + "----\n", + "* **instruction 4**:\n", + "`Return to pot .`\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "apply actions regular rule based:\n", + "try to match unused actions:\n", + "\n", + "unused actions: [] \n", + "unused ings: []\n", + "\n", + "mixing ingredients based on mixing actions with last instruction:\n", + "mixing all ingredients in this instruction:\n", + "\n", + "state after instruction 4:\n", + "• peel|cut 🠊 orange (last touched @ 0)\n", + "• 🠊 butter (last touched @ 0)\n", + "• 🠊 unsulfured molasses (last touched @ 0)\n", + "• peel|grate 🠊 lemon (last touched @ 0)\n", + "• 🠊 ground nutmeg (last touched @ 0)\n", + "• 🠊 salt (last touched @ 0)\n", + "• 🠊 parsley (last touched @ 0)\n", + "• peel 🠊 lemon (last touched @ 0)\n", + "• 🠊 nutmeg (last touched @ 0)\n", + "• cook|drain 🠊 potato (last touched @ 2)\n", + "• boil|drain 🠊 water (last touched @ 2)\n", + "\n", + "\n", + "\n" + ] + }, + { + "data": { + "text/markdown": [ + "----\n", + "* **instruction 5**:\n", + "`Mix in butter , molasses , 2 teaspoons lemon peel and 1 1/2 teaspoons nutmeg .`\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "apply actions regular rule based:\n", + "\tapply mix on 🠊 butter (last touched @ 0)\n", + "\tapply mix on 🠊 molasses (last touched @ 0)\n", + "try to match unused actions:\n", + "\tapply peel on 🠊 nutmeg (last touched @ 0)\n", + "\n", + "unused actions: [] \n", + "unused ings: ['lemon']\n", + "\n", + "mixing ingredients based on mixing actions with last instruction:\n", + "\t* 🠊 butter (last touched @ 5)\n", + "\t* 🠊 unsulfured molasses (last touched @ 5)\n", + "mixing all ingredients in this instruction:\n", + "\t* 🠊 butter (last touched @ 5)\n", + "\t* 🠊 unsulfured molasses (last touched @ 5)\n", + "\t* peel|grate 🠊 lemon (last touched @ 5)\n", + "\t* peel 🠊 ground nutmeg (last touched @ 5)\n", + "\n", + "state after instruction 5:\n", + "• peel|cut 🠊 orange (last touched @ 0)\n", + "• 🠊 butter (last touched @ 5)\n", + "• 🠊 unsulfured molasses (last touched @ 5)\n", + "• peel|grate 🠊 lemon (last touched @ 5)\n", + "• peel 🠊 ground nutmeg (last touched @ 5)\n", + "• 🠊 salt (last touched @ 0)\n", + "• 🠊 parsley (last touched @ 0)\n", + "• peel 🠊 lemon (last touched @ 0)\n", + "• 🠊 nutmeg (last touched @ 0)\n", + "• cook|drain 🠊 potato (last touched @ 2)\n", + "• boil|drain 🠊 water (last touched @ 2)\n", + "\n", + "\n", + "\n" + ] + }, + { + "data": { + "text/markdown": [ + "----\n", + "* **instruction 6**:\n", + "`Season with salt and pepper .`\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "apply actions regular rule based:\n", + "try to match unused actions:\n", + "\n", + "unused actions: [] \n", + "unused ings: ['salt', 'pepper']\n", + "\n", + "mixing ingredients based on mixing actions with last instruction:\n", + "\t* 🠊 butter (last touched @ 5)\n", + "\t* 🠊 unsulfured molasses (last touched @ 5)\n", + "\t* peel|grate 🠊 lemon (last touched @ 5)\n", + "\t* peel 🠊 ground nutmeg (last touched @ 5)\n", + "mixing all ingredients in this instruction:\n", + "\t* 🠊 salt (last touched @ 6)\n", + "\t* 🠊 pepper (last touched @ 6)\n", + "\n", + "state after instruction 6:\n", + "• peel|cut 🠊 orange (last touched @ 0)\n", + "• 🠊 butter (last touched @ 5)\n", + "• 🠊 unsulfured molasses (last touched @ 5)\n", + "• peel|grate 🠊 lemon (last touched @ 5)\n", + "• peel 🠊 ground nutmeg (last touched @ 5)\n", + "• 🠊 salt (last touched @ 6)\n", + "• 🠊 parsley (last touched @ 0)\n", + "• peel 🠊 lemon (last touched @ 0)\n", + "• 🠊 nutmeg (last touched @ 0)\n", + "• cook|drain 🠊 potato (last touched @ 2)\n", + "• boil|drain 🠊 water (last touched @ 2)\n", + "• 🠊 pepper (last touched @ 6)\n", + "\n", + "\n", + "\n" + ] + }, + { + "data": { + "text/markdown": [ + "----\n", + "* **instruction 7**:\n", + "`\\( Can be prepared 1 day ahead .`\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "apply actions regular rule based:\n", + "try to match unused actions:\n", + "\n", + "unused actions: [] \n", + "unused ings: []\n", + "\n", + "mixing ingredients based on mixing actions with last instruction:\n", + "\t* 🠊 salt (last touched @ 6)\n", + "\t* 🠊 pepper (last touched @ 6)\n", + "mixing all ingredients in this instruction:\n", + "\n", + "state after instruction 7:\n", + "• peel|cut 🠊 orange (last touched @ 0)\n", + "• 🠊 butter (last touched @ 5)\n", + "• 🠊 unsulfured molasses (last touched @ 5)\n", + "• peel|grate 🠊 lemon (last touched @ 5)\n", + "• peel 🠊 ground nutmeg (last touched @ 5)\n", + "• 🠊 salt (last touched @ 6)\n", + "• 🠊 parsley (last touched @ 0)\n", + "• peel 🠊 lemon (last touched @ 0)\n", + "• 🠊 nutmeg (last touched @ 0)\n", + "• cook|drain 🠊 potato (last touched @ 2)\n", + "• boil|drain 🠊 water (last touched @ 2)\n", + "• 🠊 pepper (last touched @ 6)\n", + "\n", + "\n", + "\n" + ] + }, + { + "data": { + "text/markdown": [ + "----\n", + "* **instruction 8**:\n", + "`Cover and refrigerate . \\)`\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "apply actions regular rule based:\n", + "try to match unused actions:\n", + "\n", + "unused actions: ['refrigerate'] \n", + "unused ings: []\n", + "\n", + "mixing ingredients based on mixing actions with last instruction:\n", + "mixing all ingredients in this instruction:\n", + "\n", + "no ingredients found. So apply actions on all ingredients that are touched so far:\n", + "\n", + "state after instruction 8:\n", + "• peel|cut 🠊 orange (last touched @ 0)\n", + "• refrigerate 🠊 butter (last touched @ 8)\n", + "• refrigerate 🠊 unsulfured molasses (last touched @ 8)\n", + "• refrigerate|peel|grate 🠊 lemon (last touched @ 8)\n", + "• refrigerate|peel 🠊 ground nutmeg (last touched @ 8)\n", + "• refrigerate 🠊 salt (last touched @ 8)\n", + "• 🠊 parsley (last touched @ 0)\n", + "• peel 🠊 lemon (last touched @ 0)\n", + "• 🠊 nutmeg (last touched @ 0)\n", + "• cook|refrigerate|drain 🠊 potato (last touched @ 8)\n", + "• refrigerate|boil|drain 🠊 water (last touched @ 8)\n", + "• refrigerate 🠊 pepper (last touched @ 8)\n", + "\n", + "\n", + "\n" + ] + }, + { + "data": { + "text/markdown": [ + "----\n", + "* **instruction 9**:\n", + "`Stir potato mixture over medium heat to rewarm and thicken slightly .`\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "apply actions regular rule based:\n", + "\tapply stir on 🠊 potato (last touched @ 0)\n", + "try to match unused actions:\n", + "\n", + "unused actions: ['heat', 'thicken'] \n", + "unused ings: []\n", + "\n", + "mixing ingredients based on mixing actions with last instruction:\n", + "\t* refrigerate 🠊 butter (last touched @ 8)\n", + "\t* refrigerate 🠊 unsulfured molasses (last touched @ 8)\n", + "\t* refrigerate|peel|grate 🠊 lemon (last touched @ 8)\n", + "\t* refrigerate|peel 🠊 ground nutmeg (last touched @ 8)\n", + "\t* refrigerate 🠊 salt (last touched @ 8)\n", + "\t* cook|refrigerate|drain 🠊 potato (last touched @ 9)\n", + "\t* refrigerate|boil|drain 🠊 water (last touched @ 8)\n", + "\t* refrigerate 🠊 pepper (last touched @ 8)\n", + "mixing all ingredients in this instruction:\n", + "\t* cook|refrigerate|drain 🠊 potato (last touched @ 9)\n", + "\n", + "state after instruction 9:\n", + "• peel|cut 🠊 orange (last touched @ 0)\n", + "• refrigerate 🠊 butter (last touched @ 8)\n", + "• refrigerate 🠊 unsulfured molasses (last touched @ 8)\n", + "• refrigerate|peel|grate 🠊 lemon (last touched @ 8)\n", + "• refrigerate|peel 🠊 ground nutmeg (last touched @ 8)\n", + "• refrigerate 🠊 salt (last touched @ 8)\n", + "• 🠊 parsley (last touched @ 0)\n", + "• peel 🠊 lemon (last touched @ 0)\n", + "• 🠊 nutmeg (last touched @ 0)\n", + "• cook|refrigerate|drain 🠊 potato (last touched @ 9)\n", + "• refrigerate|boil|drain 🠊 water (last touched @ 8)\n", + "• refrigerate 🠊 pepper (last touched @ 8)\n", + "\n", + "\n", + "\n" + ] + }, + { + "data": { + "text/markdown": [ + "----\n", + "* **instruction 10**:\n", + "`Transfer potatoes to serving bowl .`\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "apply actions regular rule based:\n", + "try to match unused actions:\n", + "\n", + "unused actions: [] \n", + "unused ings: ['potato']\n", + "\n", + "mixing ingredients based on mixing actions with last instruction:\n", + "\t* cook|refrigerate|drain 🠊 potato (last touched @ 9)\n", + "mixing all ingredients in this instruction:\n", + "\t* cook|refrigerate|drain 🠊 potato (last touched @ 10)\n", + "\n", + "state after instruction 10:\n", + "• peel|cut 🠊 orange (last touched @ 0)\n", + "• refrigerate 🠊 butter (last touched @ 8)\n", + "• refrigerate 🠊 unsulfured molasses (last touched @ 8)\n", + "• refrigerate|peel|grate 🠊 lemon (last touched @ 8)\n", + "• refrigerate|peel 🠊 ground nutmeg (last touched @ 8)\n", + "• refrigerate 🠊 salt (last touched @ 8)\n", + "• 🠊 parsley (last touched @ 0)\n", + "• peel 🠊 lemon (last touched @ 0)\n", + "• 🠊 nutmeg (last touched @ 0)\n", + "• cook|refrigerate|drain 🠊 potato (last touched @ 10)\n", + "• refrigerate|boil|drain 🠊 water (last touched @ 8)\n", + "• refrigerate 🠊 pepper (last touched @ 8)\n", + "\n", + "\n", + "\n" + ] + }, + { + "data": { + "text/markdown": [ + "----\n", + "* **instruction 11**:\n", + "`Top with parsley , lemon and nutmeg .`\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "apply actions regular rule based:\n", + "try to match unused actions:\n", + "\n", + "unused actions: [] \n", + "unused ings: ['parsley', 'lemon', 'nutmeg']\n", + "\n", + "mixing ingredients based on mixing actions with last instruction:\n", + "\t* cook|refrigerate|drain 🠊 potato (last touched @ 10)\n", + "mixing all ingredients in this instruction:\n", + "\t* refrigerate|peel|grate 🠊 lemon (last touched @ 11)\n", + "\t* refrigerate|peel 🠊 ground nutmeg (last touched @ 11)\n", + "\t* 🠊 parsley (last touched @ 11)\n", + "\n", + "state after instruction 11:\n", + "• peel|cut 🠊 orange (last touched @ 0)\n", + "• refrigerate 🠊 butter (last touched @ 8)\n", + "• refrigerate 🠊 unsulfured molasses (last touched @ 8)\n", + "• refrigerate|peel|grate 🠊 lemon (last touched @ 11)\n", + "• refrigerate|peel 🠊 ground nutmeg (last touched @ 11)\n", + "• refrigerate 🠊 salt (last touched @ 8)\n", + "• 🠊 parsley (last touched @ 11)\n", + "• peel 🠊 lemon (last touched @ 0)\n", + "• 🠊 nutmeg (last touched @ 0)\n", + "• cook|refrigerate|drain 🠊 potato (last touched @ 10)\n", + "• refrigerate|boil|drain 🠊 water (last touched @ 8)\n", + "• refrigerate 🠊 pepper (last touched @ 8)\n", + "\n", + "\n", + "\n" + ] + } + ], + "source": [ + "test_rec.apply_instructions(debug=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "#test_rec.plot_matrices()" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "saa = test_rec._recipe_state._seen_applied_actions" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "m, a, i = test_rec._recipe_state.get_action_matrix()" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Recipe.Ingredient" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "type(i[0])" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "g = RecipeGraph.fromRecipeState(test_rec._recipe_state)._dot" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "recipe graph\n", + "\n", + "\n", + "\n", + "boil0\n", + "\n", + "boil\n", + "\n", + "\n", + "\n", + "mix1\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "boil0->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "drain0\n", + "\n", + "drain\n", + "\n", + "\n", + "\n", + "mix1->drain0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "peel2\n", + "\n", + "peel\n", + "\n", + "\n", + "\n", + "mix0\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "peel2->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "lemon\n", + "\n", + "lemon\n", + "\n", + "\n", + "\n", + "peel1\n", + "\n", + "peel\n", + "\n", + "\n", + "\n", + "lemon->peel1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "orange\n", + "\n", + "orange\n", + "\n", + "\n", + "\n", + "peel0\n", + "\n", + "peel\n", + "\n", + "\n", + "\n", + "orange->peel0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "parsley\n", + "\n", + "parsley\n", + "\n", + "\n", + "\n", + "mix3\n", + "\n", + "mix\n", + "\n", + "\n", + "\n", + "parsley->mix3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "nutmeg\n", + "\n", + "nutmeg\n", + "\n", + "\n", + "\n", + "salt\n", + "\n", + "salt\n", + "\n", + "\n", + "\n", + "salt->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "drain0->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "butter\n", + "\n", + "butter\n", + "\n", + "\n", + "\n", + "butter->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "potato\n", + "\n", + "potato\n", + "\n", + "\n", + "\n", + "cook0\n", + "\n", + "cook\n", + "\n", + "\n", + "\n", + "potato->cook0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "ground nutmeg\n", + "\n", + "ground nutmeg\n", + "\n", + "\n", + "\n", + "ground nutmeg->peel2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "refrigerate1\n", + "\n", + "refrigerate\n", + "\n", + "\n", + "\n", + "mix0->refrigerate1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "water\n", + "\n", + "water\n", + "\n", + "\n", + "\n", + "water->boil0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cut0\n", + "\n", + "cut\n", + "\n", + "\n", + "\n", + "unsulfured molasses\n", + "\n", + "unsulfured molasses\n", + "\n", + "\n", + "\n", + "unsulfured molasses->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cook0->mix1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "pepper\n", + "\n", + "pepper\n", + "\n", + "\n", + "\n", + "pepper->mix0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "peel0->cut0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "refrigerate1->mix3\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "g.compile_graph(simplify=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [], + "source": [ + "rec_state = test_rec._recipe_state" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## go through some random recipes and only show it's matrices" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "text/markdown": [ + "## Peach-Blueberry Pie\n", + "(9c9a0d70e4)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '1 recipe Traditional Pastry Piecrust dough for a 9-inch double-crust pie \\( page 5 \\)'\n", + " * '1/2 cup heavy cream \\( to glaze the top crust and crimped pie edges \\)'\n", + " * '3/4 cup sugar'\n", + " * '2 tablespoons cornstarch'\n", + " * '2 tablespoons quick-cooking tapioca \\( see page 46 \\)'\n", + " * '1 1/2 teaspoons ground cinnamon'\n", + " * 'Pinch of salt'\n", + " * '3 cups peeled 1/2-inch ripe peach slices \\( approximately 4 large peaches \\)'\n", + " * '1 cup fresh blueberries , washed , dried , and stemmed'\n", + " * '1 tablespoon salted butter'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Preheat the oven to 375F .\n", + " * To prepare the pie shell , divide the ball of dough in half , setting one half to the side .\n", + " * On a clean , lightly floured work surface , roll out the dough with a rolling pin until it forms a 10-inch circle .\n", + " * Fold the circle in half , place it in a 9-inch pie plate so that the edges of the circle drop over the rim , and unfold the dough to completely cover the pie plate .\n", + " * Set the pie shell to the side while you make the filling .\n", + " * To prepare the filling , in a small bowl , mix together the sugar , cornstarch , tapioca , cinnamon , and salt .\n", + " * Place the peaches and blueberries in a large bowl and sprinkle them with the sugar mixture , making sure the fruit is thoroughly coated .\n", + " * Place the filling in the pie shell , distributing it evenly .\n", + " * Dot the filling with the butter .\n", + " * To prepare the top crust , roll out the second half of the dough with a rolling pin until it forms a 10-inch circle .\n", + " * Fold the dough circle in half and place it over the filling , with the straight line of the half circle running down the middle of the pie .\n", + " * Unfold the circle so that the entire pie is covered .\n", + " * Using your thumb and index finger , crimp the edges of the pie together to seal in the filling , and then use a fork to puncture the top of the pie 5 or 6 times .\n", + " * Brush the top of the pie and crimped edges with heavy cream for a perfect , golden brown finish .\n", + " * To bake , place the pie plate on a baking sheet and bake for 50 to 55 minutes , or until the crust is browned and the juices bubble over .\n", + " * Transfer the pie plate to a wire cooling rack and allow the pie to cool and set for 1 1/2 hours before serving .\n", + " * Peach-Blueberry Pie is best served either at room temperature or warmed at 350F for about 10 minutes .\n", + " * It will keep at room temperature overnight and can be stored in the refrigerator for up to 4 days .\n", + " * Bakers frequently use tapioca as a thickening agent .\n", + " * When purchasing tapioca , be sure to select a quick-cooking \\( also labeled instant \\) variety , rather than regular tapioca .\n", + " * Quick-cooking tapioca tolerates the baking process better than the regular variety , and provides the perfect pie filling consistency .\n", + " * Quick-cooking tapioca can be found in the baking aisle of your local grocery store , near the puddings ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "plotlyServerURL": "https://plot.ly" + }, + "data": [ + { + "type": "heatmap", + "x": [ + "crimp 🡸 ()", + "filling 🡸 (place)", + "juice 🡸 (brown)", + "pudding 🡸 ()", + "salt butter 🡸 ()", + "finish 🡸 ()", + "pie shell 🡸 (place brush)", + "filling 🡸 ()", + "sprinkle 🡸 ()", + "flour 🡸 ()", + "pie shell 🡸 (place brush bake cool)", + "pie shell 🡸 (place brush bake)", + "cream 🡸 ()", + "quick-cooking tapioca 🡸 ()", + "juice 🡸 ()", + "finish 🡸 (brown)", + "ground cinnamon 🡸 ()", + "grocery 🡸 ()", + "sugar 🡸 ()", + "instant 🡸 ()", + "pie shell 🡸 (place)", + "peach 🡸 (slice peel place)", + "roll 🡸 ()", + "blueberry 🡸 (wash)", + "fruit 🡸 ()", + "pie shell 🡸 ()", + "salt 🡸 ()", + "pastry piecrust dough 🡸 ()", + "thumb 🡸 ()", + "peach 🡸 (slice peel)", + "blueberry 🡸 (place wash)" + ], + "xgap": 1, + "y": [ + "() 🢂 crimp", + "(place) 🢂 filling", + "(brown) 🢂 juice", + "() 🢂 pudding", + "() 🢂 salt butter", + "() 🢂 finish", + "(place brush) 🢂 pie shell", + "() 🢂 filling", + "() 🢂 sprinkle", + "() 🢂 flour", + "(place brush bake cool) 🢂 pie shell", + "(place brush bake) 🢂 pie shell", + "() 🢂 cream", + "() 🢂 quick-cooking tapioca", + "() 🢂 juice", + "(brown) 🢂 finish", + "() 🢂 ground cinnamon", + "() 🢂 grocery", + "() 🢂 sugar", + "() 🢂 instant", + "(place) 🢂 pie shell", + "(slice peel place) 🢂 peach", + "() 🢂 roll", + "(wash) 🢂 blueberry", + "() 🢂 fruit", + "() 🢂 pie shell", + "() 🢂 salt", + "() 🢂 pastry piecrust dough", + "() 🢂 thumb", + "(slice peel) 🢂 peach", + "(place 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+ }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Blender Gazpacho Recipe\n", + "(c549b250ea)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '2 c. tomato juice'\n", + " * '1 can stewed tomatoes'\n", + " * '1/2 c. minced green pepper'\n", + " * '1/2 c. minced celery'\n", + " * '1/2 c. minced cucumber'\n", + " * '1 c. minced onion'\n", + " * '2 tbsp . parsley'\n", + " * '1 clove garlic'\n", + " * '2 to 3 tbsp . red wine vinegar'\n", + " * '2 tbsp . extra virgin olive oil'\n", + " * '1 teaspoon salt'\n", + " * '1/2 teaspoon Worcestershire sauce'\n", + " * '1/2 teaspoon pepper'\n", + " * '1/4 teaspoon white pepper'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + 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+ }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Macadamia Lace Cookies\n", + "(a0e587c164)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '1/2 cup \\( 125 ml \\) butter or margarine'\n", + " * '2/3 cup \\( 150 ml \\) brown sugar \\( packed \\)'\n", + " * '1/2 cup \\( 125 ml \\) light corn syrup'\n", + " * '1 cup \\( 225 ml \\) all purpose flour'\n", + " * '1/2 cup \\( 125 ml \\) finely chopped Macadamia nuts'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * Preheat oven to 375 degrees \\( 200 C. \\) .\n", + " * Combine butter , brown sugar and corn syrup in small saucepan .\n", + " * Cook , stirring , over medium heat until sugar disolves and mixture begins to bubble .\n", + " * Remove from heat continuing to stir well , gradually beat in flour and add nuts .\n", + " * Keep batter warm by setting saucepan in larger pan with 2 inches of barely simmering water .\n", + " * Drop batter by tsp full about three inches apart on greased baking sheet .\n", + " * Allow plenty of room for cookies to spread .\n", + " * Bake until edges are golden brown , about 4 to 5 minutes .\n", + " * If you want to leave the cookies round , allow to cool on sheet until firm .\n", + " * If you want to shape by folding or twisting , let cool until firm enough to handle but still soft enough to curl , less than a minute .\n", + " * Transfer to rack to cool and store in an airtight container ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": 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" 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" 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* Preheat oven to 450 degrees .\n", + " * Place a piece of foil on the bottom of the oven to catch any drips .\n", + " * In a large bowl , whisk together the 3/4 cup sugar , tapioca , and cornstarch .\n", + " * Toss in the cherries and almond extract and set aside for 15 minutes .\n", + " * Remove the pie plate from the freezer and , using a pastry brush , lightly moisten the dough along the rim with water .\n", + " * Toss the cherry mixture briefly and spoon it into the unbaked pie shell .\n", + " * Place the dough cut-outs around the outside edge , overlapping them slightly .\n", + " * One the outside circle is complete , begin another concentric row of overlapping dough hearts .\n", + " * Leave a few open spaces here and there which will act as vents .\n", + " * If using different size cutters , use the larger ones near the edge and the smaller ones in the center .\n", + " * When the pie is completely covered , brush the top lightly with cold water and sprinkle evenly with remaining tablespoon of sugar .\n", + " * Bake for 20 minutes until the pastry begins to brown .\n", + " * Lower the heat to 375F \\( 190C \\) and bake until the top is nicely browned and the juice is bubbling out , about 15 minutes more .\n", + " * Cool on a rack for at least 2 hours ." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "plotlyServerURL": "https://plot.ly" + }, + "data": [ + { + "type": "heatmap", + "x": [ + "water 🡸 (open)", + "juice 🡸 (brown)", + "dough pie shell 🡸 (place cool brush cut open)", + "sugar 🡸 (open cool)", + "cherry 🡸 (open sour)", + "water 🡸 ()", + "tapioca 🡸 ()", + "any 🡸 (open cool)", + "pastry 🡸 ()", + "cherry 🡸 (sour)", + "tapioca 🡸 (whisk)", + "large 🡸 (cool)", + "pastry 🡸 (open bake)", + "tapioca 🡸 (open whisk cool)", + "almond extract 🡸 (open)", + "sprinkle 🡸 ()", + "pastry 🡸 (open)", + "juice 🡸 (brown heat bake)", + "sprinkle 🡸 (brush cool)", + 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" + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "## Ginger Carrot Pancakes\n", + "(3e1bfca76c)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Ingredients" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * '2 12 cups of coarsely shredded carrots'\n", + " * '12 cup of chopped green onion'\n", + " * '1 teaspoon of minced garlic'\n", + " * '1 tablespoon of grated peeled fresh ginger'\n", + " * '3 tablespoons flour'\n", + " * '14 teaspoon salt'\n", + " * '1 egg , lightly beaten'\n", + " * '1 tablespoon canola oil'\n", + " * '2 tablespoons low sodium soy sauce'\n", + " * '1 12 tablespoons water'\n", + " * '12 teaspoon minced garlic'\n", + " * '12 teaspoon grated peeled fresh ginger'\n", + " * '12 teaspoon rice wine vinegar'" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "### Instructions" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + " * In a large bowl , combine carrot , green onion , garlic and ginger .\n", + " * Sprinkle flour and salt over the carrot mixture ; stir to combine .\n", + " * Pour egg over the carrot mixture and stir to blend .\n", + " * Heat 1 1/2 teaspoons of oil in a non-stick skillet coated with cooking spray over low heat .\n", + " * Using about 1/4 cup of batter per pancake , spoon 4 pancakes onto hot pan , spreading each to a 4-inch diameter .\n", + " * Cook 4 minutes on each side or until bottoms are lightly browned and cooked through .\n", + " * Transfer to a plate , keep warm .\n", + " * Heat remaining oil in pan , repeat procedure with remaining batter .\n", + " * Makes 8 .\n", + " * Serve with a dipping sauce made by combining soy sauce , rice 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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from time import sleep\n", + "\n", + "for i in range(5):\n", + " rec = Recipe(random.choice(ids)['id'])\n", + " rec.display_recipe()\n", + " ing = rec.extract_ingredients()\n", + " rec.apply_instructions(debug=False)\n", + " rec.plot_matrices()\n", + " sleep(3)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { diff --git a/RecipeAnalysis/Recipe.ipynb b/RecipeAnalysis/Recipe.ipynb index 9126728..8d781ef 100644 --- a/RecipeAnalysis/Recipe.ipynb +++ b/RecipeAnalysis/Recipe.ipynb @@ -9,9 +9,34 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 11, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + " \n", + " " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "import sys\n", "sys.path.append(\"../\")\n", @@ -28,9 +53,73 @@ "from Tagging.conllu_generator import ConlluGenerator\n", "from Tagging.crf_data_generator import *\n", "\n", + "from difflib import SequenceMatcher\n", + "\n", + "import numpy as np\n", + "\n", + "import plotly.graph_objs as go\n", + "from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot\n", + "from plotly.subplots import make_subplots\n", + "init_notebook_mode(connected=True)\n", + "\n", + "from graphviz import Digraph\n", + "\n", + "import itertools\n", + "\n", + "\n", + "import plotly.io as pio\n", + "pio.renderers.default = \"jupyterlab\"\n", + "\n", "from IPython.display import Markdown, HTML, display" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "* sequence similarity matcher" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "def similar(a, b):\n", + " return SequenceMatcher(None, a, b).ratio()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "def string_similarity(a,b):\n", + " \"\"\"\n", + " does the same like `similar` but also compares single words of multi word tokens\n", + " and returns the max similar value\n", + " \"\"\"\n", + " \n", + " tokens_a = a.split()\n", + " tokens_b = b.split()\n", + " \n", + " max_similarity = -1\n", + " max_a = None\n", + " max_b = None\n", + " \n", + " for t_a in tokens_a:\n", + " for t_b in tokens_b:\n", + " s = similar(t_a, t_b)\n", + " if s > max_similarity:\n", + " max_similarity = s\n", + " max_a = t_a,\n", + " max_b = t_b,\n", + " \n", + " return max_similarity, max_a, max_b" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -40,7 +129,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -72,16 +161,44 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "# helper function since the lemmatizer not always lemmatize in a meaningful way :shrug:\n", + "def check_ingredient(ing_token):\n", + " form = ing_token['form'].lower()\n", + " lemma = ing_token['lemma'].lower()\n", + " \n", + " if form in ingredients.ingredients:\n", + " return True\n", + " \n", + " if lemma in ingredients.ingredients_stemmed:\n", + " return True\n", + " \n", + " if lemma.endswith('s'):\n", + " if lemma[:-1] in ingredients.ingredients_stemmed:\n", + " return True\n", + " \n", + " else:\n", + " if lemma + 's' in ingredients.ingredients_stemmed:\n", + " return True\n", + " \n", + " return False" + ] + }, + { + "cell_type": "code", + "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 3, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } @@ -93,7 +210,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 7, "metadata": {}, "outputs": [], "source": [ @@ -102,7 +219,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ @@ -119,7 +236,771 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "import json\n", + "class Ingredient(object):\n", + " \n", + " @staticmethod\n", + " def from_json(j):\n", + " d = json.loads(j)\n", + " ing = Ingredient(d['base'])\n", + " ing._action_set = set(d['actions'])\n", + " return ing\n", + " \n", + " def __init__(self, base_ingredient, last_touched_instruction=0):\n", + " self._base_ingredient = base_ingredient\n", + " self._action_set = set()\n", + " self._last_touched_instruction = last_touched_instruction\n", + " self._is_mixed = False\n", + " \n", + " def apply_action(self, action, instruction_number=0, touch=True):\n", + " if action in actions.mixing_cooking_verbs:\n", + " self.mark_for_mixing()\n", + " else:\n", + " self._action_set.add(action)\n", + " \n", + " if touch:\n", + " self._last_touched_instruction = instruction_number\n", + " \n", + " def similarity(self, ingredient, use_actions=False, action_factor = 0.5):\n", + " sim,_,_ = string_similarity(self._base_ingredient, ingredient._base_ingredient)\n", + " if not use_actions:\n", + " return sim\n", + " \n", + " return (1 - action_factor) + action_factor * similar(list(self._action_set), list(ingredient._action_set))\n", + " \n", + " def mark_for_mixing(self):\n", + " self._is_mixed = True\n", + " \n", + " def unmark_mixing(self):\n", + " self._is_mixed = False\n", + " \n", + " def is_mixed(self):\n", + " return self._is_mixed\n", + " \n", + " def most_similar_ingredient(self, ing_list, use_actions=False, action_factor=0.5):\n", + " best_index = -1\n", + " best_value = -1\n", + " \n", + " for i, ing in enumerate(ing_list):\n", + " sim = self.similarity(ing, use_actions=use_actions, action_factor=action_factor)\n", + " if sim > best_value:\n", + " best_value = sim\n", + " best_index = i\n", + " return best_value, ing_list[best_index]\n", + " \n", + " def copy(self):\n", + " result = Ingredient(self._base_ingredient, self._last_touched_instruction)\n", + " result._action_set = self._action_set.copy()\n", + " result._is_mixed = self._is_mixed\n", + " \n", + " return result\n", + " \n", + " def to_json(self):\n", + " result = {}\n", + " result['base'] = self._base_ingredient\n", + " result['actions'] = list(self._action_set)\n", + " return json.dumps(result)\n", + " \n", + " def __repr__(self):\n", + " return f\"{'|'.join(list(self._action_set))} 🠊 {self._base_ingredient} (last touched @ {self._last_touched_instruction})\" \n", + " \n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "class RecipeState(object):\n", + " def __init__(self, initial_ingredients):\n", + " self._ingredients = initial_ingredients\n", + " self._seen_ingredients = set()\n", + " self._seen_actions = set()\n", + " \n", + " self._mix_matrix = None\n", + " self._mix_labels = None\n", + " self._act_matrix = None\n", + " self._act_labels = None\n", + " self._ing_labels = None\n", + " self._mat_need_update = True\n", + " \n", + " # set of (ing_a, ing_b) tuples\n", + " self._seen_mixes = set()\n", + " \n", + " # set of (action, ing) tuples\n", + " self._seen_applied_actions = set()\n", + " \n", + " for ing in self._ingredients:\n", + " self._seen_ingredients.add(ing.to_json())\n", + " \n", + " def copy(self):\n", + " return RecipeState([ing.copy() for ing in self._ingredients])\n", + " \n", + " def apply_action(self, action: str, ing: Ingredient, instruction_number=0, sim_threshold = 0.6):\n", + " # find most similar ingredient to the given one and apply action on it\n", + " sim_val, best_ing = ing.most_similar_ingredient(self._ingredients)\n", + " \n", + " # if sim_val is good enough, we apply the action to the best ingredient, otherwise\n", + " # we add a new ingredient to our set (and assume that it was not detected or listed in the\n", + " # ingredient set before)\n", + " \n", + " self._mat_need_update = True\n", + " \n", + " if sim_val > sim_threshold:\n", + " if action not in actions.stemmed_mixing_cooking_verbs:\n", + " self._seen_actions.add(action)\n", + " self._seen_applied_actions.add((action, best_ing.to_json()))\n", + " best_ing.apply_action(action, instruction_number)\n", + " self._seen_ingredients.add(best_ing.to_json())\n", + " else:\n", + " self._ingredients.append(ing)\n", + " if action not in actions.stemmed_mixing_cooking_verbs:\n", + " self._seen_actions.add(action)\n", + " self._seen_ingredients.add(ing.to_json())\n", + " self._seen_applied_actions.add((action, ing.to_json()))\n", + " ing.apply_action(action, instruction_number)\n", + " self._seen_ingredients.add(ing.to_json())\n", + " \n", + " def apply_action_on_all(self, action, instruction_number=0, exclude_instruction_number=None):\n", + " self._mat_need_update = True\n", + " for ing in self._ingredients:\n", + " if exclude_instruction_number is None or exclude_instruction_number != ing._last_touched_instruction:\n", + " if action not in actions.stemmed_mixing_cooking_verbs:\n", + " self._seen_actions.add(action)\n", + " self._seen_applied_actions.add((action, ing.to_json()))\n", + " ing.apply_action(action, instruction_number)\n", + " self._seen_ingredients.add(ing.to_json())\n", + " \n", + " def apply_action_by_last_touched(action, last_touched_instruction, instruction_number=0):\n", + " self._mat_need_update = True\n", + " for ing in self.get_ingredients_touched_in_instruction(last_touched_instruction):\n", + " if action not in actions.stemmed_mixing_cooking_verbs:\n", + " self._seen_actions.add(action)\n", + " self._seen_applied_actions.add((action, ing.to_json()))\n", + " ing.apply_action(action, instruction_number)\n", + " self._seen_ingredients.add(ing.to_json())\n", + " \n", + " def get_combined_ingredients(self):\n", + " combined = []\n", + " for ing in self._ingredients:\n", + " if ing.is_mixed():\n", + " combined.append(ing)\n", + " ing.unmark_mixing()\n", + " \n", + " for x in combined:\n", + " for y in combined:\n", + " self._seen_mixes.add((x.to_json(), y.to_json()))\n", + " \n", + " self._mat_need_update = True\n", + " return combined\n", + " \n", + " def _update_matrices(self):\n", + " \n", + " ing_list = list(self._seen_ingredients)\n", + " idx = {}\n", + " \n", + " m = np.zeros((len(ing_list), len(ing_list)))\n", + " \n", + " for i,ing in enumerate(ing_list):\n", + " idx[ing] = i\n", + " \n", + " for x,y in self._seen_mixes:\n", + " m[idx[x], idx[y]] = 1\n", + " \n", + " self._mix_matrix = m\n", + " self._mix_labels = [Ingredient.from_json(j) for j in ing_list]\n", + " \n", + " ing_list = list(self._seen_ingredients)\n", + " idx_i = {}\n", + " \n", + " act_list = list(self._seen_actions)\n", + " idx_a = {}\n", + " \n", + " for i,ing in enumerate(ing_list):\n", + " idx_i[ing] = i\n", + " \n", + " for i,act in enumerate(act_list):\n", + " idx_a[act] = i\n", + " \n", + " m = np.zeros((len(act_list), len(ing_list)))\n", + " \n", + " for act, ing in self._seen_applied_actions:\n", + " m[idx_a[act], idx_i[ing]] = 1\n", + " \n", + " self._act_matrix = m\n", + " self._act_labels = act_list\n", + " self._ing_labels = [Ingredient.from_json(j) for j in ing_list]\n", + " \n", + " self._mat_need_update = False\n", + " \n", + " \n", + " def get_mixing_matrix(self): \n", + " if self._mat_need_update:\n", + " self._update_matrices()\n", + " return self._mix_matrix, self._mix_labels\n", + "\n", + " \n", + " def get_action_matrix(self):\n", + " if self._mat_need_update:\n", + " self._update_matrices()\n", + " return self._act_matrix, self._act_labels, self._ing_labels\n", + " \n", + " \n", + " def get_ingredients_touched_in_instruction(self, instruction_number = 0):\n", + " ings = []\n", + " for ing in self._ingredients:\n", + " if ing._last_touched_instruction == instruction_number:\n", + " ings.append(ing)\n", + " return ings \n", + " \n", + " \n", + " def get_ingredients(self):\n", + " return self._ingredients\n", + " \n", + " def __repr__(self):\n", + " s = \"\"\n", + " for ing in self._ingredients:\n", + " s += f\"• {str(ing)}\\n\"\n", + " return s\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "class Node(object):\n", + " def __init__(self, id, label, shape):\n", + " self.id = id\n", + " self.label = label\n", + " self.shape = shape" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "class GraphWrapper(object):\n", + " def __init__(self, comment=\"recipe graph\"):\n", + " self._comment = comment\n", + " self._nodes = set()\n", + " self._nodes_by_id = {}\n", + " self._nodes_by_label = {}\n", + " self._edges = set()\n", + " self._to_node = {}\n", + " self._from_node = {}\n", + " \n", + " def node(self, id, label, shape = None):\n", + " assert id not in self._nodes_by_id\n", + " n = Node(id, label, shape)\n", + " self._nodes.add(n)\n", + " self._nodes_by_id[id] = n\n", + " if label not in self._nodes_by_label:\n", + " self._nodes_by_label[label] = set()\n", + " self._nodes_by_label[label].add(n)\n", + " self._to_node[id] = set()\n", + " self._from_node[id] = set()\n", + " \n", + " def edge(self, a, b):\n", + " assert a in self._nodes_by_id and b in self._nodes_by_id\n", + " self._edges.add((a,b))\n", + " self._from_node[a].add(b)\n", + " self._to_node[b].add(a)\n", + " \n", + " def remove_edge(self, a, b):\n", + " self._edges.discard((a,b))\n", + " if a in self._from_node:\n", + " self._from_node[a].discard(b)\n", + " if b in self._to_node:\n", + " self._to_node[b].discard(a)\n", + " \n", + " def remove_node(self, id, redirect_edges=False):\n", + " assert id in self._nodes_by_id\n", + " \n", + " if redirect_edges:\n", + " f_set = self._from_node[id].copy()\n", + " t_set = self._to_node[id].copy()\n", + " \n", + " self.remove_node(id)\n", + " \n", + " for a in t_set:\n", + " for b in f_set:\n", + " self.edge(a,b)\n", + " return\n", + " \n", + " # remove all edges\n", + " b_set = self._from_node[id].copy()\n", + " for b in b_set:\n", + " self.remove_edge(id, b)\n", + "\n", + " a_set = self._to_node[id].copy()\n", + " for a in a_set:\n", + " self.remove_edge(a, id)\n", + " \n", + " # remove node itself\n", + " n = self._nodes_by_id[id]\n", + " self._nodes_by_label[n.label].remove(n)\n", + " if len(self._nodes_by_label[n.label]) == 0:\n", + " del(self._nodes_by_label[n.label])\n", + " self._nodes.remove(n)\n", + " del(self._nodes_by_id[id])\n", + " del(self._from_node[id])\n", + " del(self._to_node[id])\n", + " \n", + " def merge(self, a, b):\n", + " \"\"\"\n", + " merge a with b and return id of merged node\n", + " \"\"\"\n", + " assert a in self._nodes_by_id and b in self._nodes_by_id\n", + " \n", + " if (a,b) in self._edges:\n", + " self.remove_edge(a,b)\n", + " if (b,a) in self._edges:\n", + " self.remove_edge(b,a)\n", + " \n", + " to_merged = set()\n", + " from_merged = set()\n", + " \n", + " if a in self._from_node:\n", + " from_merged = from_merged.union(self._from_node[a])\n", + " if b in self._from_node:\n", + " from_merged = from_merged.union(self._from_node[b])\n", + " \n", + " if a in self._to_node:\n", + " to_merged = to_merged.union(self._to_node[a])\n", + " if b in self._to_node:\n", + " to_merged = to_merged.union(self._to_node[b])\n", + " \n", + " from_merged.discard(a)\n", + " from_merged.discard(b)\n", + " \n", + " to_merged.discard(a)\n", + " to_merged.discard(b)\n", + " \n", + " merged_node = self._nodes_by_id[a]\n", + " \n", + " self.remove_node(a)\n", + " self.remove_node(b)\n", + " \n", + " self.node(merged_node.id, merged_node.label, merged_node.shape)\n", + " \n", + " for x in to_merged:\n", + " self.edge(x, merged_node.id)\n", + " \n", + " for x in from_merged:\n", + " self.edge(merged_node.id, x)\n", + " \n", + " def insert_before(self, node_id, insert_id, insert_label, insert_shape):\n", + " assert insert_id not in self._nodes_by_id\n", + " assert node_id in self._nodes_by_id\n", + " to_node = self._to_node[node_id].copy()\n", + " \n", + " for a in to_node:\n", + " self.remove_edge(a, node_id)\n", + " \n", + " self.node(insert_id, insert_label, insert_shape)\n", + " \n", + " for a in to_node:\n", + " self.edge(a, insert_id)\n", + " self.edge(insert_id, node_id)\n", + " \n", + " def merge_adjacent_with_label(self, label):\n", + " \"\"\"\n", + " merge all adjacent nodes with given label\n", + " \"\"\"\n", + " \n", + " assert label in self._nodes_by_label\n", + " \n", + " node_set = self._nodes_by_label[label]\n", + " mix_set = set()\n", + " \n", + " connected_clusters = {}\n", + " \n", + " for x in node_set:\n", + " for y in node_set:\n", + " if (x.id, y.id) in self._edges:\n", + " # mark for merge\n", + " mix_set.add(x.id)\n", + " mix_set.add(y.id)\n", + " \n", + " if x.id not in connected_clusters:\n", + " connected_clusters[x.id] = set()\n", + " if y.id not in connected_clusters:\n", + " connected_clusters[y.id] = set()\n", + " \n", + " u = connected_clusters[x.id].union(connected_clusters[y.id])\n", + " u.add(x.id)\n", + " u.add(y.id)\n", + " \n", + " for n in u:\n", + " connected_clusters[n] = u\n", + " \n", + " clusters = []\n", + " while len(mix_set) > 0:\n", + " arbitrary_node = mix_set.pop()\n", + " # get cluster for node:\n", + " c = connected_clusters[arbitrary_node]\n", + " c_list = list(c)\n", + " \n", + " # merge all nodes:\n", + " for i in range(len(c_list) - 1):\n", + " # note: order matters since 'merge' keeps the id of the first node!\n", + " self.merge(c_list[i + 1], c_list[i])\n", + " \n", + " # subtract cluster set from mix_set\n", + " mix_set = mix_set.difference(c)\n", + " \n", + " def merge_sisters(self):\n", + " sister_nodes = set()\n", + " sisters = {}\n", + " for label, node_set in self._nodes_by_label.items():\n", + " for x in node_set:\n", + " for y in node_set:\n", + " if x.id == y.id:\n", + " continue\n", + " if len(self._from_node[x.id].intersection(self._from_node[y.id])) > 0:\n", + " sister_nodes.add(x.id)\n", + " sister_nodes.add(y.id)\n", + " if x.id not in sisters:\n", + " sisters[x.id] = set()\n", + " if y.id not in sisters:\n", + " sisters[y.id] = set()\n", + " \n", + " u = sisters[x.id].union(sisters[y.id])\n", + " u.add(x.id)\n", + " u.add(y.id)\n", + " \n", + " for n in u:\n", + " sisters[n] = u\n", + " \n", + " if len(sister_nodes) <= 1:\n", + " return False\n", + " while len(sister_nodes) > 0:\n", + " arbitrary_node = sister_nodes.pop()\n", + " # get cluster for node:\n", + " c = sisters[arbitrary_node]\n", + " c_list = list(c)\n", + " \n", + " # merge all nodes:\n", + " for i in range(len(c_list) - 1):\n", + " # note: order matters since 'merge' keeps the id of the first node!\n", + " self.merge(c_list[i + 1], c_list[i])\n", + " \n", + " i = 0\n", + " mix_id = \"mix0\"\n", + " while mix_id in self._nodes_by_id:\n", + " i += 1\n", + " mix_id = f\"mix{i}\"\n", + " self.insert_before(c_list[-1], mix_id, \"mix\", \"diamond\")\n", + " \n", + " # subtract cluster set from mix_set\n", + " sister_nodes = sister_nodes.difference(c)\n", + " \n", + " return True\n", + " \n", + " def get_paths(self):\n", + " cluster = {}\n", + " nodes = set()\n", + " for a,b in self._edges:\n", + " if len(self._from_node[a]) == 1 and len(self._to_node[b]) == 1:\n", + " if a not in cluster:\n", + " cluster[a] = set()\n", + " if b not in cluster:\n", + " cluster[b] = set()\n", + " \n", + " nodes.add(a)\n", + " nodes.add(b)\n", + " \n", + " u = cluster[a].union(cluster[b])\n", + " u.add(a)\n", + " u.add(b)\n", + " \n", + " for n in u:\n", + " cluster[n] = u\n", + " \n", + " paths = []\n", + " while len(nodes) > 0:\n", + " \n", + " arbitrary_node = nodes.pop()\n", + " # get cluster for node:\n", + " c = cluster[arbitrary_node]\n", + " \n", + " paths.append(c)\n", + " \n", + " nodes = nodes.difference(c)\n", + " \n", + " return paths\n", + " \n", + " def clean_paths(self):\n", + " for path in self.get_paths():\n", + " seen_labels = set()\n", + " for n in path:\n", + " l = self._nodes_by_id[n].label\n", + " if l == \"mix\" and len(self._to_node[n]) == 1:\n", + " self.remove_node(n, redirect_edges=True)\n", + " elif l in seen_labels:\n", + " self.remove_node(n, redirect_edges=True)\n", + " else:\n", + " seen_labels.add(l)\n", + " \n", + " \n", + " \n", + " def simplify(self):\n", + " \n", + " changed = True\n", + " \n", + " while changed:\n", + " \n", + " # merge all adjacent nodes with the same label\n", + " for key in self._nodes_by_label:\n", + " self.merge_adjacent_with_label(key)\n", + "\n", + " # and now merge all sister nodes with the same label\n", + " # (just to make it more clean structured)\n", + "\n", + " changed = self.merge_sisters()\n", + " \n", + " self.clean_paths()\n", + " \n", + " \n", + " \n", + " def compile_graph(self, simplify = False):\n", + " if simplify:\n", + " self.simplify()\n", + " dot = Digraph(self._comment)\n", + " for n in self._nodes:\n", + " dot.node(n.id, label=n.label, shape=n.shape)\n", + " \n", + " for e in self._edges:\n", + " dot.edge(e[0], e[1])\n", + " \n", + " return dot\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "class RecipeGraph(object):\n", + " def __init__(self, initial_ingreds=None):\n", + " self._base_ing_nodes = set()\n", + " self._dot = GraphWrapper(comment=\"recipe graph\")\n", + " self._ing_state_mapping = {} # key: ingredient, value: state_id\n", + " self._seen_actions = set()\n", + " self._ings_connected_with_state = {} # key: state_id, value: set of ingreds \n", + " \n", + " self._seen_actions_for_ingredient = {}\n", + " \n", + " \n", + " if initial_ingreds is not None:\n", + " for ing in initial_ingreds:\n", + " self.add_base_ingredient(ing)\n", + " \n", + " def add_base_ingredient(self, ingredient):\n", + " if type(ingredient) == Ingredient:\n", + " self.add_base_ingredient(ingredient._base_ingredient)\n", + " return\n", + " self._base_ing_nodes.add(ingredient)\n", + " self._dot.node(ingredient, label=ingredient,shape=\"box\")\n", + " self._ing_state_mapping[ingredient] = ingredient\n", + " self._ings_connected_with_state[ingredient] = set([ingredient])\n", + " self._seen_actions_for_ingredient[ingredient] = set() \n", + " \n", + " def add_action(self, action, ingredient):\n", + " if type(ingredient) == Ingredient:\n", + " return self.add_action(ingredient._base_ingredient)\n", + " \n", + " if ingredient not in self._seen_actions_for_ingredient:\n", + " self._seen_actions_for_ingredient[ingredient] = set()\n", + " \n", + " if action in self._seen_actions_for_ingredient[ingredient]:\n", + " return False\n", + " \n", + " self._seen_actions_for_ingredient[ingredient].add(action)\n", + " \n", + " action_id = action + \"0\"\n", + " \n", + " i = 0\n", + " \n", + " while action_id in self._seen_actions:\n", + " i += 1\n", + " action_id = action + str(i)\n", + " \n", + " self._seen_actions.add(action_id)\n", + " \n", + " self._dot.node(action_id, action)\n", + " \n", + " # get to the bottom of our tree (last known thing that happened to our ingredient)\n", + " last_node = self._ing_state_mapping[ingredient]\n", + " \n", + " # update the reference of the last known state for all connected ingredients\n", + " # (and for ourselve)\n", + " \n", + " connected_ingredients = self._ings_connected_with_state[last_node]\n", + " \n", + " for ing_id in connected_ingredients:\n", + " self._ing_state_mapping[ing_id] = action_id\n", + " \n", + " # set ingredient set for new node\n", + " self._ings_connected_with_state[action_id] = connected_ingredients.copy()\n", + " \n", + " # connect nodes with an edge\n", + " self._dot.edge(last_node, action_id)\n", + " \n", + " return True\n", + " \n", + " def add_action_if_possible(self, action, ingredient):\n", + " # extract actions for ingredient\n", + " action_set = ingredient._action_set\n", + " \n", + " if action_set.issubset(self._seen_actions_for_ingredient[ingredient._base_ingredient]):\n", + " return self.add_action(action, ingredient._base_ingredient)\n", + " return False\n", + " \n", + " def mix_ingredients(self, ingredient_list):\n", + " assert len(ingredient_list) > 0\n", + " \n", + " if type(ingredient_list[0]) == Ingredient:\n", + " self.mix_ingredients([ing._base_ingredient for ing in ingredient_list])\n", + " return\n", + " \n", + " last_nodes = set([self._ing_state_mapping[ing] for ing in ingredient_list])\n", + " \n", + " # create mixed ingredient set\n", + " ing_set = set()\n", + " \n", + " for state in last_nodes:\n", + " ing_set = ing_set.union(self._ings_connected_with_state[state])\n", + " \n", + " mix_action_id = \"mix0\"\n", + " i = 0\n", + " while mix_action_id in self._seen_actions:\n", + " i += 1\n", + " mix_action_id = f\"mix{i}\"\n", + " \n", + " self._seen_actions.add(mix_action_id)\n", + " \n", + " self._dot.node(mix_action_id, \"mix\", shape=\"diamond\")\n", + " \n", + " self._ings_connected_with_state[mix_action_id] = ing_set.copy()\n", + " \n", + " for ing in ing_set:\n", + " self._ing_state_mapping[ing] = mix_action_id\n", + " \n", + " for state in last_nodes:\n", + " self._dot.edge(state, mix_action_id)\n", + " \n", + " def mix_if_possible(self, ingredient_list):\n", + " assert len(ingredient_list) > 0\n", + " assert type(ingredient_list[0]) == Ingredient\n", + " \n", + " # check whether ingredients are mixed already\n", + " state_set = set(\n", + " [self._ing_state_mapping[ing._base_ingredient] for ing in ingredient_list]\n", + " )\n", + " \n", + " if len(state_set) <= 1:\n", + " # all ingredients have the same last state → they're mixed already\n", + " return False\n", + " \n", + " # check if action sets are matching the requirements\n", + " for ing in ingredient_list:\n", + " for act in ing._action_set:\n", + " if act not in self._seen_actions_for_ingredient[ing._base_ingredient]:\n", + " return False\n", + " \n", + " # now we can mix the stuff:\n", + " self.mix_ingredients(ingredient_list)\n", + " return True\n", + " \n", + " @staticmethod\n", + " def fromRecipeState(rec_state: RecipeState):\n", + " # get all ingredients\n", + " base_ingredients = set([ing._base_ingredient for ing in rec_state._ingredients])\n", + " \n", + " mix_m, mix_label = rec_state.get_mixing_matrix()\n", + " act_m, act_a, act_i = rec_state.get_action_matrix()\n", + " \n", + " graph = RecipeGraph(base_ingredients)\n", + " \n", + " # create list of tuples: [action, ingredient]\n", + " seen_actions = np.array(list(itertools.product(act_a,act_i))).reshape((len(act_a), len(act_i), 2))\n", + " \n", + " # create list of tuples [ingredient, ingredient]\n", + " seen_mixes = np.array(list(itertools.product(mix_label,mix_label))).reshape((len(mix_label), len(mix_label), 2))\n", + " \n", + " seen_actions = seen_actions[act_m == 1]\n", + " seen_mixes = seen_mixes[mix_m == 1]\n", + " \n", + " seen_actions = set([tuple(x) for x in seen_actions.tolist()])\n", + " seen_mixes = set([tuple(x) for x in seen_mixes.tolist()])\n", + " \n", + " # for each ingredient get the list of unseen applied actions. (They were applied\n", + " # before the first instruction)\n", + " \n", + " seen_actions_per_ingred = {}\n", + " for act, json_ing in rec_state._seen_applied_actions:\n", + " ing = Ingredient.from_json(json_ing)._base_ingredient\n", + " if ing not in seen_actions_per_ingred:\n", + " seen_actions_per_ingred[ing] = set()\n", + " seen_actions_per_ingred[ing].add(act)\n", + " \n", + " unseen_actions_per_ingred = {}\n", + " for ing in rec_state._ingredients:\n", + " base = ing._base_ingredient\n", + " if base not in seen_actions_per_ingred:\n", + " unseen_actions_per_ingred[base] = ing._action_set.copy()\n", + " else:\n", + " unseen_actions_per_ingred[base] = ing._action_set.difference(seen_actions_per_ingred[base])\n", + " \n", + " # for each ingredient: apply unseen actions first\n", + " for ing in rec_state._ingredients:\n", + " base = ing._base_ingredient\n", + " for act in unseen_actions_per_ingred[base]:\n", + " graph.add_action(act, base)\n", + " \n", + " # iterate over all mixes and actions until the graph does not change anymore\n", + " # TODO: there are more efficient ways to do that!\n", + " changed = True\n", + " while changed:\n", + " changed = False\n", + " changed_ingreds = True\n", + " while changed_ingreds:\n", + " changed_ingreds = False\n", + " for mix in list(seen_mixes):\n", + " if graph.mix_if_possible([mix[0], mix[1]]):\n", + " changed = True\n", + " changed_ingreds = True\n", + " changed_acts = True\n", + " while changed_acts:\n", + " changed_acts = False\n", + " for act in list(seen_actions):\n", + " if graph.add_action_if_possible(act[0], act[1]):\n", + " changed = True\n", + " changed_acts = True\n", + " \n", + " return graph\n", + " \n", + " \n", + " \n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 13, "metadata": {}, "outputs": [], "source": [ @@ -196,28 +1077,33 @@ " for j, token in enumerate(ing):\n", " lemma = token['lemma']\n", " \n", - " # check for ingredient\n", - " if lemma in ingredients.ingredients_stemmed:\n", - " token.add_misc(\"food_type\", \"ingredient\")\n", - " elif predictions[i][j] == 'ingredient':\n", + " # check for labels\n", + " if check_ingredient(token):\n", " token.add_misc(\"food_type\", \"ingredient\")\n", + " continue\n", " \n", - " # check for action\n", - " if lemma in actions.stemmed_cooking_verbs:\n", - " token.add_misc(\"food_type\", \"action\")\n", - " elif predictions[i][j] == 'action':\n", + " if lemma in actions.stemmed_curated_cooking_verbs:\n", " token.add_misc(\"food_type\", \"action\")\n", + " continue\n", + " \n", + " if predictions[i][j] == 'ingredient':\n", + " token.add_misc(\"food_type\", \"ingredient\")\n", + " continue\n", + " \n", + " #if predictions[i][j] == 'action':\n", + " # token.add_misc(\"food_type\", \"action\")\n", + " # continue\n", " \n", - " # check for container\n", " if lemma in containers.stemmed_containers:\n", " token.add_misc(\"food_type\", \"container\")\n", - " elif predictions[i][j] == 'container':\n", + " continue\n", + " if predictions[i][j] == 'container':\n", " token.add_misc(\"food_type\", \"container\")\n", + " continue\n", " \n", - " # check for placeholder\n", " if lemma in placeholders.stemmed_placeholders:\n", " token.add_misc(\"food_type\", \"placeholder\")\n", - " elif predictions[i][j] == 'placeholder':\n", + " if predictions[i][j] == 'placeholder':\n", " token.add_misc(\"food_type\", \"placeholder\")\n", " \n", " def annotate_ingredients(self):\n", @@ -229,6 +1115,8 @@ " def recipe_id(self):\n", " return self._recipe_id\n", " \n", + " '''\n", + " # TODO: only conllu module compatible, and not with our own conllu classes\n", " def serialize(self):\n", " result = \"# newdoc\\n\"\n", " if self._recipe_id is not None:\n", @@ -237,6 +1125,7 @@ " for sent in self._sentences:\n", " result += f\"{sent.serialize()}\"\n", " return result + \"\\n\"\n", + " '''\n", " \n", " def display_recipe(self):\n", " display(Markdown(f\"## {self._title}\\n({self._recipe_id})\"))\n", @@ -263,7 +1152,262 @@ " s += f\"n_instructions: {self.n_instructions()}\\n\"\n", " s += f\"keyword_ratio: {self.keyword_ratio()}\\n\\n\\n\"\n", " \n", - " return s" + " return s\n", + " \n", + " # --------------------------------------------------------------------------\n", + " # functions for extracting ingredients\n", + " \n", + " def extract_ingredients(self):\n", + " self._extracted_ingredients = []\n", + " for ing in self._ingredients:\n", + " entry_ing_tokens = []\n", + " entry_act_tokens = []\n", + " for token in ing:\n", + " t_misc = token['misc']\n", + " if t_misc is not None and \"food_type\" in t_misc:\n", + " ftype = t_misc['food_type']\n", + " if ftype == \"ingredient\":\n", + " entry_ing_tokens.append(token)\n", + " elif ftype == \"action\":\n", + " entry_act_tokens.append(token)\n", + " \n", + " # find max cluster of ingredients and merge them\n", + " index_best = 0\n", + " best_size = 0\n", + " current_size = 0\n", + " for i, ing_token in enumerate(entry_ing_tokens):\n", + " if i == 0 or entry_ing_tokens[i - 1]['id'] + 1 == ing_token['id']:\n", + " current_size += 1\n", + " if current_size > best_size:\n", + " best_size = current_size\n", + " index_best = i - current_size + 1\n", + " \n", + " if best_size == 0:\n", + " # unfortunately, no ingredient is found :(\n", + " continue\n", + " \n", + " ingredient = Ingredient(\" \".join([entry['lemma'] for entry in entry_ing_tokens[index_best:index_best + best_size]]))\n", + " \n", + " # apply found actions:\n", + " for action in entry_act_tokens:\n", + " ingredient.apply_action(action['lemma'])\n", + " \n", + " self._extracted_ingredients.append(ingredient)\n", + " \n", + " return self._extracted_ingredients\n", + " \n", + " def apply_instructions(self, confidence_threshold = 0.4, max_dist_last_token = 4, debug=False):\n", + " current_state = RecipeState(self._extracted_ingredients)\n", + " self._recipe_state = current_state\n", + " \n", + " instruction_number = 0\n", + " \n", + " for sent in self._sentences:\n", + " \n", + " instruction_number += 1\n", + " \n", + " if debug:\n", + " display(Markdown(f\"----\\n* **instruction {instruction_number}**:\\n`\" + escape_md_chars(self.tokenlist2str(sent)) + \"`\\n\"))\n", + " \n", + " instruction_ing_tokens = []\n", + " instruction_act_tokens = []\n", + " \n", + " ing_dist_last_token = []\n", + " act_dist_last_token = []\n", + " \n", + " \n", + " last_token = -1\n", + " \n", + " for i, token in enumerate(sent):\n", + " t_misc = token['misc']\n", + " if t_misc is not None and \"food_type\" in t_misc:\n", + " ftype = t_misc['food_type']\n", + " if ftype == \"ingredient\":\n", + " instruction_ing_tokens.append(token)\n", + " ing_dist_last_token.append(1000 if last_token < 0 else i - last_token)\n", + " last_token = i\n", + " elif ftype == \"action\":\n", + " instruction_act_tokens.append(token)\n", + " act_dist_last_token.append(1000 if last_token < 0 else i - last_token)\n", + " last_token = i\n", + " \n", + " # cluster ingredient tokens together and apply actions on it:\n", + " clustered_ingredients = []\n", + " clustered_conllu_ids = []\n", + " clustered_last_tokens = []\n", + " i = 0\n", + " n = len(instruction_ing_tokens)\n", + " \n", + " current_token_start = 0\n", + " while i < n:\n", + " current_token_start = i\n", + " clustered_conllu_ids.append(instruction_ing_tokens[i]['id'])\n", + " clustered_last_tokens.append(ing_dist_last_token[i])\n", + " ing_str = instruction_ing_tokens[i]['lemma']\n", + " while i+1 < n and instruction_ing_tokens[i+1]['id'] - instruction_ing_tokens[i]['id'] == 1:\n", + " ing_str += \" \" + instruction_ing_tokens[i+1]['lemma']\n", + " i += 1\n", + " clustered_ingredients.append(ing_str)\n", + " i += 1\n", + " \n", + " def matching_action(ing_str, ing_id, action_token_list):\n", + " \n", + " action = None\n", + " action_dists = [act['id'] - ing_id for act in action_token_list]\n", + " \n", + " # so far: simple heuristic by matching to next action to the left\n", + " # (or first action to the right, if there is no one left to the ingredient)\n", + " \n", + " for i in range(len(action_token_list)):\n", + " if action_dists[i] < 0:\n", + " action = action_token_list[i]\n", + " \n", + " return action\n", + " \n", + " ingredients_used = set()\n", + " actions_used = set()\n", + " \n", + " if debug:\n", + " print(\"apply actions regular rule based:\")\n", + " \n", + " for i, ing_str in enumerate(clustered_ingredients):\n", + " \n", + " ing = Ingredient(ing_str)\n", + " \n", + " # get matching action:\n", + " action = matching_action(ing_str, clustered_conllu_ids[i], instruction_act_tokens)\n", + " \n", + " if clustered_last_tokens[i] < max_dist_last_token:\n", + " if action is not None:\n", + " actions_used.add(action['lemma'])\n", + " ingredients_used.add(ing_str)\n", + " # apply action on state\n", + " current_state.apply_action(action['lemma'], ing, instruction_number=instruction_number)\n", + " if debug:\n", + " print(f\"\\tapply {action['lemma']} on {ing}\")\n", + " \n", + " if debug:\n", + " print(\"try to match unused actions:\")\n", + " # go throuh all actions. if we found an unused one, we assume it is applied either on the next right ingredient.\n", + " \n", + " \n", + " for act_token in instruction_act_tokens:\n", + " if act_token['lemma'] not in actions_used:\n", + " # fing next ingredient right to it\n", + " next_ing = None\n", + " for i, ing_str in enumerate(clustered_ingredients):\n", + " if clustered_conllu_ids[i] > act_token['id']:\n", + " actions_used.add(act_token['lemma'])\n", + " ingredients_used.add(ing_str)\n", + " ing = Ingredient(ing_str)\n", + " current_state.apply_action(act_token['lemma'], ing, instruction_number=instruction_number)\n", + " if debug:\n", + " print(f\"\\tapply {act_token['lemma']} on {ing}\")\n", + " break\n", + " \n", + " \n", + " actions_unused = []\n", + " ingredients_unused = []\n", + " \n", + " \n", + " for act_token in instruction_act_tokens:\n", + " if act_token['lemma'] in actions_used:\n", + " continue\n", + " actions_unused.append(act_token['lemma'])\n", + " \n", + " for ing_str in clustered_ingredients:\n", + " if ing_str in ingredients_used:\n", + " continue\n", + " ingredients_unused.append(ing_str)\n", + " \n", + " if debug:\n", + " print(f\"\\nunused actions: {actions_unused} \\nunused ings: {ingredients_unused}\\n\")\n", + " \n", + " if (instruction_number > 1):\n", + " if debug:\n", + " print(\"mixing ingredients based on mixing actions with last instruction:\")\n", + " for ing in current_state.get_ingredients_touched_in_instruction(instruction_number -1):\n", + " ing.mark_for_mixing()\n", + "\n", + " for ing in current_state.get_combined_ingredients():\n", + " if debug:\n", + " print(f\"\\t* {ing}\")\n", + " \n", + " if debug:\n", + " print(\"mixing all ingredients in this instruction:\")\n", + " \n", + " for ing_str in clustered_ingredients:\n", + " current_state.apply_action(\"mix\", Ingredient(ing_str), instruction_number=instruction_number)\n", + " \n", + " for ing in current_state.get_combined_ingredients():\n", + " if debug:\n", + " print(f\"\\t* {ing}\")\n", + " \n", + " \n", + " # if no ingredient is found, apply actions on all ingredients so far used\n", + " \n", + " if len(clustered_ingredients) == 0 and len(actions_unused) > 0:\n", + " if debug:\n", + " print(\"\\nno ingredients found. So apply actions on all ingredients that are touched so far:\")\n", + " for action in actions_unused:\n", + " current_state.apply_action_on_all(action, instruction_number, exclude_instruction_number=0)\n", + " \n", + " if debug:\n", + " print(f\"\\nstate after instruction {instruction_number}:\")\n", + " print(current_state)\n", + " print(\"\\n\")\n", + " \n", + " def plot_matrices(self):\n", + " if self._recipe_state is None:\n", + " print(\"Error: no recipe state found\")\n", + " return\n", + " \n", + " mixings, mix_labels = self._recipe_state.get_mixing_matrix()\n", + " \n", + " x_labels = [f\"{ing._base_ingredient} 🡸 ({' '.join([act for act in ing._action_set])})\" for ing in mix_labels]\n", + " y_labels = [f\"({' '.join([act for act in ing._action_set])}) 🢂 {ing._base_ingredient}\" for ing in mix_labels]\n", + " \n", + "\n", + " fig = go.Figure(data=go.Heatmap(\n", + " z=mixings,\n", + " x=x_labels,\n", + " y=y_labels,\n", + " xgap = 1,\n", + " ygap = 1,))\n", + "\n", + " fig.update_layout(\n", + " width=1024,\n", + " height=1024,\n", + " yaxis = dict(\n", + " scaleanchor = \"x\",\n", + " scaleratio = 1,\n", + " )\n", + " )\n", + " fig.show()\n", + "\n", + " \n", + " actions, act_labels, ing_labels = self._recipe_state.get_action_matrix()\n", + " \n", + "\n", + " fig = go.Figure(data=go.Heatmap(\n", + " z=actions,\n", + " x=[f\"{ing._base_ingredient} 🡸 ({' '.join([act for act in ing._action_set])})\" for ing in ing_labels],\n", + " y=[str(a) for a in act_labels],\n", + " xgap = 1,\n", + " ygap = 1,))\n", + "\n", + " fig.update_layout(\n", + " width=1024,\n", + " height=1024,\n", + " yaxis = dict(\n", + " scaleanchor = \"x\",\n", + " scaleratio = 1,\n", + " )\n", + " )\n", + " fig.show()\n", + "\n", + "\n", + " " ] }, { diff --git a/RecipeAnalysis/Recipe.py b/RecipeAnalysis/Recipe.py index 43383f7..9b53d49 100644 --- a/RecipeAnalysis/Recipe.py +++ b/RecipeAnalysis/Recipe.py @@ -18,9 +18,56 @@ from db.database_connection import DatabaseConnection from Tagging.conllu_generator import ConlluGenerator from Tagging.crf_data_generator import * +from difflib import SequenceMatcher + +import numpy as np + +import plotly.graph_objs as go +from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot +from plotly.subplots import make_subplots +init_notebook_mode(connected=True) + +from graphviz import Digraph + +import itertools + + +import plotly.io as pio +pio.renderers.default = "jupyterlab" + from IPython.display import Markdown, HTML, display +# * sequence similarity matcher + +def similar(a, b): + return SequenceMatcher(None, a, b).ratio() + + +def string_similarity(a,b): + """ + does the same like `similar` but also compares single words of multi word tokens + and returns the max similar value + """ + + tokens_a = a.split() + tokens_b = b.split() + + max_similarity = -1 + max_a = None + max_b = None + + for t_a in tokens_a: + for t_b in tokens_b: + s = similar(t_a, t_b) + if s > max_similarity: + max_similarity = s + max_a = t_a, + max_b = t_b, + + return max_similarity, max_a, max_b + + # * get vocabulary import importlib.util @@ -49,6 +96,28 @@ placeholders = importlib.util.module_from_spec(spec) spec.loader.exec_module(placeholders) +# helper function since the lemmatizer not always lemmatize in a meaningful way :shrug: +def check_ingredient(ing_token): + form = ing_token['form'].lower() + lemma = ing_token['lemma'].lower() + + if form in ingredients.ingredients: + return True + + if lemma in ingredients.ingredients_stemmed: + return True + + if lemma.endswith('s'): + if lemma[:-1] in ingredients.ingredients_stemmed: + return True + + else: + if lemma + 's' in ingredients.ingredients_stemmed: + return True + + return False + + tagger = pycrfsuite.Tagger() tagger.open('../Tagging/test.crfsuite') @@ -67,6 +136,740 @@ def escape_md_chars(s): return s +import json +class Ingredient(object): + + @staticmethod + def from_json(j): + d = json.loads(j) + ing = Ingredient(d['base']) + ing._action_set = set(d['actions']) + return ing + + def __init__(self, base_ingredient, last_touched_instruction=0): + self._base_ingredient = base_ingredient + self._action_set = set() + self._last_touched_instruction = last_touched_instruction + self._is_mixed = False + + def apply_action(self, action, instruction_number=0, touch=True): + if action in actions.mixing_cooking_verbs: + self.mark_for_mixing() + else: + self._action_set.add(action) + + if touch: + self._last_touched_instruction = instruction_number + + def similarity(self, ingredient, use_actions=False, action_factor = 0.5): + sim,_,_ = string_similarity(self._base_ingredient, ingredient._base_ingredient) + if not use_actions: + return sim + + return (1 - action_factor) + action_factor * similar(list(self._action_set), list(ingredient._action_set)) + + def mark_for_mixing(self): + self._is_mixed = True + + def unmark_mixing(self): + self._is_mixed = False + + def is_mixed(self): + return self._is_mixed + + def most_similar_ingredient(self, ing_list, use_actions=False, action_factor=0.5): + best_index = -1 + best_value = -1 + + for i, ing in enumerate(ing_list): + sim = self.similarity(ing, use_actions=use_actions, action_factor=action_factor) + if sim > best_value: + best_value = sim + best_index = i + return best_value, ing_list[best_index] + + def copy(self): + result = Ingredient(self._base_ingredient, self._last_touched_instruction) + result._action_set = self._action_set.copy() + result._is_mixed = self._is_mixed + + return result + + def to_json(self): + result = {} + result['base'] = self._base_ingredient + result['actions'] = list(self._action_set) + return json.dumps(result) + + def __repr__(self): + return f"{'|'.join(list(self._action_set))} 🠊 {self._base_ingredient} (last touched @ {self._last_touched_instruction})" + + + + +class RecipeState(object): + def __init__(self, initial_ingredients): + self._ingredients = initial_ingredients + self._seen_ingredients = set() + self._seen_actions = set() + + self._mix_matrix = None + self._mix_labels = None + self._act_matrix = None + self._act_labels = None + self._ing_labels = None + self._mat_need_update = True + + # set of (ing_a, ing_b) tuples + self._seen_mixes = set() + + # set of (action, ing) tuples + self._seen_applied_actions = set() + + for ing in self._ingredients: + self._seen_ingredients.add(ing.to_json()) + + def copy(self): + return RecipeState([ing.copy() for ing in self._ingredients]) + + def apply_action(self, action: str, ing: Ingredient, instruction_number=0, sim_threshold = 0.6): + # find most similar ingredient to the given one and apply action on it + sim_val, best_ing = ing.most_similar_ingredient(self._ingredients) + + # if sim_val is good enough, we apply the action to the best ingredient, otherwise + # we add a new ingredient to our set (and assume that it was not detected or listed in the + # ingredient set before) + + self._mat_need_update = True + + if sim_val > sim_threshold: + if action not in actions.stemmed_mixing_cooking_verbs: + self._seen_actions.add(action) + self._seen_applied_actions.add((action, best_ing.to_json())) + best_ing.apply_action(action, instruction_number) + self._seen_ingredients.add(best_ing.to_json()) + else: + self._ingredients.append(ing) + if action not in actions.stemmed_mixing_cooking_verbs: + self._seen_actions.add(action) + self._seen_ingredients.add(ing.to_json()) + self._seen_applied_actions.add((action, ing.to_json())) + ing.apply_action(action, instruction_number) + self._seen_ingredients.add(ing.to_json()) + + def apply_action_on_all(self, action, instruction_number=0, exclude_instruction_number=None): + self._mat_need_update = True + for ing in self._ingredients: + if exclude_instruction_number is None or exclude_instruction_number != ing._last_touched_instruction: + if action not in actions.stemmed_mixing_cooking_verbs: + self._seen_actions.add(action) + self._seen_applied_actions.add((action, ing.to_json())) + ing.apply_action(action, instruction_number) + self._seen_ingredients.add(ing.to_json()) + + def apply_action_by_last_touched(action, last_touched_instruction, instruction_number=0): + self._mat_need_update = True + for ing in self.get_ingredients_touched_in_instruction(last_touched_instruction): + if action not in actions.stemmed_mixing_cooking_verbs: + self._seen_actions.add(action) + self._seen_applied_actions.add((action, ing.to_json())) + ing.apply_action(action, instruction_number) + self._seen_ingredients.add(ing.to_json()) + + def get_combined_ingredients(self): + combined = [] + for ing in self._ingredients: + if ing.is_mixed(): + combined.append(ing) + ing.unmark_mixing() + + for x in combined: + for y in combined: + self._seen_mixes.add((x.to_json(), y.to_json())) + + self._mat_need_update = True + return combined + + def _update_matrices(self): + + ing_list = list(self._seen_ingredients) + idx = {} + + m = np.zeros((len(ing_list), len(ing_list))) + + for i,ing in enumerate(ing_list): + idx[ing] = i + + for x,y in self._seen_mixes: + m[idx[x], idx[y]] = 1 + + self._mix_matrix = m + self._mix_labels = [Ingredient.from_json(j) for j in ing_list] + + ing_list = list(self._seen_ingredients) + idx_i = {} + + act_list = list(self._seen_actions) + idx_a = {} + + for i,ing in enumerate(ing_list): + idx_i[ing] = i + + for i,act in enumerate(act_list): + idx_a[act] = i + + m = np.zeros((len(act_list), len(ing_list))) + + for act, ing in self._seen_applied_actions: + m[idx_a[act], idx_i[ing]] = 1 + + self._act_matrix = m + self._act_labels = act_list + self._ing_labels = [Ingredient.from_json(j) for j in ing_list] + + self._mat_need_update = False + + + def get_mixing_matrix(self): + if self._mat_need_update: + self._update_matrices() + return self._mix_matrix, self._mix_labels + + + def get_action_matrix(self): + if self._mat_need_update: + self._update_matrices() + return self._act_matrix, self._act_labels, self._ing_labels + + + def get_ingredients_touched_in_instruction(self, instruction_number = 0): + ings = [] + for ing in self._ingredients: + if ing._last_touched_instruction == instruction_number: + ings.append(ing) + return ings + + + def get_ingredients(self): + return self._ingredients + + def __repr__(self): + s = "" + for ing in self._ingredients: + s += f"• {str(ing)}\n" + return s + + + +class Node(object): + def __init__(self, id, label, shape): + self.id = id + self.label = label + self.shape = shape + + +class GraphWrapper(object): + def __init__(self, comment="recipe graph"): + self._comment = comment + self._nodes = set() + self._nodes_by_id = {} + self._nodes_by_label = {} + self._edges = set() + self._to_node = {} + self._from_node = {} + + def node(self, id, label, shape = None): + assert id not in self._nodes_by_id + n = Node(id, label, shape) + self._nodes.add(n) + self._nodes_by_id[id] = n + if label not in self._nodes_by_label: + self._nodes_by_label[label] = set() + self._nodes_by_label[label].add(n) + self._to_node[id] = set() + self._from_node[id] = set() + + def edge(self, a, b): + assert a in self._nodes_by_id and b in self._nodes_by_id + self._edges.add((a,b)) + self._from_node[a].add(b) + self._to_node[b].add(a) + + def remove_edge(self, a, b): + self._edges.discard((a,b)) + if a in self._from_node: + self._from_node[a].discard(b) + if b in self._to_node: + self._to_node[b].discard(a) + + def remove_node(self, id, redirect_edges=False): + assert id in self._nodes_by_id + + if redirect_edges: + f_set = self._from_node[id].copy() + t_set = self._to_node[id].copy() + + self.remove_node(id) + + for a in t_set: + for b in f_set: + self.edge(a,b) + return + + # remove all edges + b_set = self._from_node[id].copy() + for b in b_set: + self.remove_edge(id, b) + + a_set = self._to_node[id].copy() + for a in a_set: + self.remove_edge(a, id) + + # remove node itself + n = self._nodes_by_id[id] + self._nodes_by_label[n.label].remove(n) + if len(self._nodes_by_label[n.label]) == 0: + del(self._nodes_by_label[n.label]) + self._nodes.remove(n) + del(self._nodes_by_id[id]) + del(self._from_node[id]) + del(self._to_node[id]) + + def merge(self, a, b): + """ + merge a with b and return id of merged node + """ + assert a in self._nodes_by_id and b in self._nodes_by_id + + if (a,b) in self._edges: + self.remove_edge(a,b) + if (b,a) in self._edges: + self.remove_edge(b,a) + + to_merged = set() + from_merged = set() + + if a in self._from_node: + from_merged = from_merged.union(self._from_node[a]) + if b in self._from_node: + from_merged = from_merged.union(self._from_node[b]) + + if a in self._to_node: + to_merged = to_merged.union(self._to_node[a]) + if b in self._to_node: + to_merged = to_merged.union(self._to_node[b]) + + from_merged.discard(a) + from_merged.discard(b) + + to_merged.discard(a) + to_merged.discard(b) + + merged_node = self._nodes_by_id[a] + + self.remove_node(a) + self.remove_node(b) + + self.node(merged_node.id, merged_node.label, merged_node.shape) + + for x in to_merged: + self.edge(x, merged_node.id) + + for x in from_merged: + self.edge(merged_node.id, x) + + def insert_before(self, node_id, insert_id, insert_label, insert_shape): + assert insert_id not in self._nodes_by_id + assert node_id in self._nodes_by_id + to_node = self._to_node[node_id].copy() + + for a in to_node: + self.remove_edge(a, node_id) + + self.node(insert_id, insert_label, insert_shape) + + for a in to_node: + self.edge(a, insert_id) + self.edge(insert_id, node_id) + + def merge_adjacent_with_label(self, label): + """ + merge all adjacent nodes with given label + """ + + assert label in self._nodes_by_label + + node_set = self._nodes_by_label[label] + mix_set = set() + + connected_clusters = {} + + for x in node_set: + for y in node_set: + if (x.id, y.id) in self._edges: + # mark for merge + mix_set.add(x.id) + mix_set.add(y.id) + + if x.id not in connected_clusters: + connected_clusters[x.id] = set() + if y.id not in connected_clusters: + connected_clusters[y.id] = set() + + u = connected_clusters[x.id].union(connected_clusters[y.id]) + u.add(x.id) + u.add(y.id) + + for n in u: + connected_clusters[n] = u + + clusters = [] + while len(mix_set) > 0: + arbitrary_node = mix_set.pop() + # get cluster for node: + c = connected_clusters[arbitrary_node] + c_list = list(c) + + # merge all nodes: + for i in range(len(c_list) - 1): + # note: order matters since 'merge' keeps the id of the first node! + self.merge(c_list[i + 1], c_list[i]) + + # subtract cluster set from mix_set + mix_set = mix_set.difference(c) + + def merge_sisters(self): + sister_nodes = set() + sisters = {} + for label, node_set in self._nodes_by_label.items(): + for x in node_set: + for y in node_set: + if x.id == y.id: + continue + if len(self._from_node[x.id].intersection(self._from_node[y.id])) > 0: + sister_nodes.add(x.id) + sister_nodes.add(y.id) + if x.id not in sisters: + sisters[x.id] = set() + if y.id not in sisters: + sisters[y.id] = set() + + u = sisters[x.id].union(sisters[y.id]) + u.add(x.id) + u.add(y.id) + + for n in u: + sisters[n] = u + + if len(sister_nodes) <= 1: + return False + while len(sister_nodes) > 0: + arbitrary_node = sister_nodes.pop() + # get cluster for node: + c = sisters[arbitrary_node] + c_list = list(c) + + # merge all nodes: + for i in range(len(c_list) - 1): + # note: order matters since 'merge' keeps the id of the first node! + self.merge(c_list[i + 1], c_list[i]) + + i = 0 + mix_id = "mix0" + while mix_id in self._nodes_by_id: + i += 1 + mix_id = f"mix{i}" + self.insert_before(c_list[-1], mix_id, "mix", "diamond") + + # subtract cluster set from mix_set + sister_nodes = sister_nodes.difference(c) + + return True + + def get_paths(self): + cluster = {} + nodes = set() + for a,b in self._edges: + if len(self._from_node[a]) == 1 and len(self._to_node[b]) == 1: + if a not in cluster: + cluster[a] = set() + if b not in cluster: + cluster[b] = set() + + nodes.add(a) + nodes.add(b) + + u = cluster[a].union(cluster[b]) + u.add(a) + u.add(b) + + for n in u: + cluster[n] = u + + paths = [] + while len(nodes) > 0: + + arbitrary_node = nodes.pop() + # get cluster for node: + c = cluster[arbitrary_node] + + paths.append(c) + + nodes = nodes.difference(c) + + return paths + + def clean_paths(self): + for path in self.get_paths(): + seen_labels = set() + for n in path: + l = self._nodes_by_id[n].label + if l == "mix" and len(self._to_node[n]) == 1: + self.remove_node(n, redirect_edges=True) + elif l in seen_labels: + self.remove_node(n, redirect_edges=True) + else: + seen_labels.add(l) + + + + def simplify(self): + + changed = True + + while changed: + + # merge all adjacent nodes with the same label + for key in self._nodes_by_label: + self.merge_adjacent_with_label(key) + + # and now merge all sister nodes with the same label + # (just to make it more clean structured) + + changed = self.merge_sisters() + + self.clean_paths() + + + + def compile_graph(self, simplify = False): + if simplify: + self.simplify() + dot = Digraph(self._comment) + for n in self._nodes: + dot.node(n.id, label=n.label, shape=n.shape) + + for e in self._edges: + dot.edge(e[0], e[1]) + + return dot + + +class RecipeGraph(object): + def __init__(self, initial_ingreds=None): + self._base_ing_nodes = set() + self._dot = GraphWrapper(comment="recipe graph") + self._ing_state_mapping = {} # key: ingredient, value: state_id + self._seen_actions = set() + self._ings_connected_with_state = {} # key: state_id, value: set of ingreds + + self._seen_actions_for_ingredient = {} + + + if initial_ingreds is not None: + for ing in initial_ingreds: + self.add_base_ingredient(ing) + + def add_base_ingredient(self, ingredient): + if type(ingredient) == Ingredient: + self.add_base_ingredient(ingredient._base_ingredient) + return + self._base_ing_nodes.add(ingredient) + self._dot.node(ingredient, label=ingredient,shape="box") + self._ing_state_mapping[ingredient] = ingredient + self._ings_connected_with_state[ingredient] = set([ingredient]) + self._seen_actions_for_ingredient[ingredient] = set() + + def add_action(self, action, ingredient): + if type(ingredient) == Ingredient: + return self.add_action(ingredient._base_ingredient) + + if ingredient not in self._seen_actions_for_ingredient: + self._seen_actions_for_ingredient[ingredient] = set() + + if action in self._seen_actions_for_ingredient[ingredient]: + return False + + self._seen_actions_for_ingredient[ingredient].add(action) + + action_id = action + "0" + + i = 0 + + while action_id in self._seen_actions: + i += 1 + action_id = action + str(i) + + self._seen_actions.add(action_id) + + self._dot.node(action_id, action) + + # get to the bottom of our tree (last known thing that happened to our ingredient) + last_node = self._ing_state_mapping[ingredient] + + # update the reference of the last known state for all connected ingredients + # (and for ourselve) + + connected_ingredients = self._ings_connected_with_state[last_node] + + for ing_id in connected_ingredients: + self._ing_state_mapping[ing_id] = action_id + + # set ingredient set for new node + self._ings_connected_with_state[action_id] = connected_ingredients.copy() + + # connect nodes with an edge + self._dot.edge(last_node, action_id) + + return True + + def add_action_if_possible(self, action, ingredient): + # extract actions for ingredient + action_set = ingredient._action_set + + if action_set.issubset(self._seen_actions_for_ingredient[ingredient._base_ingredient]): + return self.add_action(action, ingredient._base_ingredient) + return False + + def mix_ingredients(self, ingredient_list): + assert len(ingredient_list) > 0 + + if type(ingredient_list[0]) == Ingredient: + self.mix_ingredients([ing._base_ingredient for ing in ingredient_list]) + return + + last_nodes = set([self._ing_state_mapping[ing] for ing in ingredient_list]) + + # create mixed ingredient set + ing_set = set() + + for state in last_nodes: + ing_set = ing_set.union(self._ings_connected_with_state[state]) + + mix_action_id = "mix0" + i = 0 + while mix_action_id in self._seen_actions: + i += 1 + mix_action_id = f"mix{i}" + + self._seen_actions.add(mix_action_id) + + self._dot.node(mix_action_id, "mix", shape="diamond") + + self._ings_connected_with_state[mix_action_id] = ing_set.copy() + + for ing in ing_set: + self._ing_state_mapping[ing] = mix_action_id + + for state in last_nodes: + self._dot.edge(state, mix_action_id) + + def mix_if_possible(self, ingredient_list): + assert len(ingredient_list) > 0 + assert type(ingredient_list[0]) == Ingredient + + # check whether ingredients are mixed already + state_set = set( + [self._ing_state_mapping[ing._base_ingredient] for ing in ingredient_list] + ) + + if len(state_set) <= 1: + # all ingredients have the same last state → they're mixed already + return False + + # check if action sets are matching the requirements + for ing in ingredient_list: + for act in ing._action_set: + if act not in self._seen_actions_for_ingredient[ing._base_ingredient]: + return False + + # now we can mix the stuff: + self.mix_ingredients(ingredient_list) + return True + + @staticmethod + def fromRecipeState(rec_state: RecipeState): + # get all ingredients + base_ingredients = set([ing._base_ingredient for ing in rec_state._ingredients]) + + mix_m, mix_label = rec_state.get_mixing_matrix() + act_m, act_a, act_i = rec_state.get_action_matrix() + + graph = RecipeGraph(base_ingredients) + + # create list of tuples: [action, ingredient] + seen_actions = np.array(list(itertools.product(act_a,act_i))).reshape((len(act_a), len(act_i), 2)) + + # create list of tuples [ingredient, ingredient] + seen_mixes = np.array(list(itertools.product(mix_label,mix_label))).reshape((len(mix_label), len(mix_label), 2)) + + seen_actions = seen_actions[act_m == 1] + seen_mixes = seen_mixes[mix_m == 1] + + seen_actions = set([tuple(x) for x in seen_actions.tolist()]) + seen_mixes = set([tuple(x) for x in seen_mixes.tolist()]) + + # for each ingredient get the list of unseen applied actions. (They were applied + # before the first instruction) + + seen_actions_per_ingred = {} + for act, json_ing in rec_state._seen_applied_actions: + ing = Ingredient.from_json(json_ing)._base_ingredient + if ing not in seen_actions_per_ingred: + seen_actions_per_ingred[ing] = set() + seen_actions_per_ingred[ing].add(act) + + unseen_actions_per_ingred = {} + for ing in rec_state._ingredients: + base = ing._base_ingredient + if base not in seen_actions_per_ingred: + unseen_actions_per_ingred[base] = ing._action_set.copy() + else: + unseen_actions_per_ingred[base] = ing._action_set.difference(seen_actions_per_ingred[base]) + + # for each ingredient: apply unseen actions first + for ing in rec_state._ingredients: + base = ing._base_ingredient + for act in unseen_actions_per_ingred[base]: + graph.add_action(act, base) + + # iterate over all mixes and actions until the graph does not change anymore + # TODO: there are more efficient ways to do that! + changed = True + while changed: + changed = False + changed_ingreds = True + while changed_ingreds: + changed_ingreds = False + for mix in list(seen_mixes): + if graph.mix_if_possible([mix[0], mix[1]]): + changed = True + changed_ingreds = True + changed_acts = True + while changed_acts: + changed_acts = False + for act in list(seen_actions): + if graph.add_action_if_possible(act[0], act[1]): + changed = True + changed_acts = True + + return graph + + + + + + class Recipe(object): def __init__(self, recipe_db_id = None): @@ -76,6 +879,9 @@ class Recipe(object): self._ingredients = None self._recipe_id = recipe_db_id self._get_from_db() + + self._extracted_ingredients = None # TODO + self.annotate_ingredients() self.annotate_sentences() @@ -137,28 +943,33 @@ class Recipe(object): for j, token in enumerate(ing): lemma = token['lemma'] - # check for ingredient - if lemma in ingredients.ingredients_stemmed: - token.add_misc("food_type", "ingredient") - elif predictions[i][j] == 'ingredient': + # check for labels + if check_ingredient(token): token.add_misc("food_type", "ingredient") + continue - # check for action - if lemma in actions.stemmed_cooking_verbs: - token.add_misc("food_type", "action") - elif predictions[i][j] == 'action': + if lemma in actions.stemmed_curated_cooking_verbs: token.add_misc("food_type", "action") + continue + + if predictions[i][j] == 'ingredient': + token.add_misc("food_type", "ingredient") + continue + + #if predictions[i][j] == 'action': + # token.add_misc("food_type", "action") + # continue - # check for container if lemma in containers.stemmed_containers: token.add_misc("food_type", "container") - elif predictions[i][j] == 'container': + continue + if predictions[i][j] == 'container': token.add_misc("food_type", "container") + continue - # check for placeholder if lemma in placeholders.stemmed_placeholders: token.add_misc("food_type", "placeholder") - elif predictions[i][j] == 'placeholder': + if predictions[i][j] == 'placeholder': token.add_misc("food_type", "placeholder") def annotate_ingredients(self): @@ -170,6 +981,8 @@ class Recipe(object): def recipe_id(self): return self._recipe_id + ''' + # TODO: only conllu module compatible, and not with our own conllu classes def serialize(self): result = "# newdoc\n" if self._recipe_id is not None: @@ -178,6 +991,7 @@ class Recipe(object): for sent in self._sentences: result += f"{sent.serialize()}" return result + "\n" + ''' def display_recipe(self): display(Markdown(f"## {self._title}\n({self._recipe_id})")) @@ -205,6 +1019,261 @@ class Recipe(object): s += f"keyword_ratio: {self.keyword_ratio()}\n\n\n" return s + + # -------------------------------------------------------------------------- + # functions for extracting ingredients + + def extract_ingredients(self): + self._extracted_ingredients = [] + for ing in self._ingredients: + entry_ing_tokens = [] + entry_act_tokens = [] + for token in ing: + t_misc = token['misc'] + if t_misc is not None and "food_type" in t_misc: + ftype = t_misc['food_type'] + if ftype == "ingredient": + entry_ing_tokens.append(token) + elif ftype == "action": + entry_act_tokens.append(token) + + # find max cluster of ingredients and merge them + index_best = 0 + best_size = 0 + current_size = 0 + for i, ing_token in enumerate(entry_ing_tokens): + if i == 0 or entry_ing_tokens[i - 1]['id'] + 1 == ing_token['id']: + current_size += 1 + if current_size > best_size: + best_size = current_size + index_best = i - current_size + 1 + + if best_size == 0: + # unfortunately, no ingredient is found :( + continue + + ingredient = Ingredient(" ".join([entry['lemma'] for entry in entry_ing_tokens[index_best:index_best + best_size]])) + + # apply found actions: + for action in entry_act_tokens: + ingredient.apply_action(action['lemma']) + + self._extracted_ingredients.append(ingredient) + + return self._extracted_ingredients + + def apply_instructions(self, confidence_threshold = 0.4, max_dist_last_token = 4, debug=False): + current_state = RecipeState(self._extracted_ingredients) + self._recipe_state = current_state + + instruction_number = 0 + + for sent in self._sentences: + + instruction_number += 1 + + if debug: + display(Markdown(f"----\n* **instruction {instruction_number}**:\n`" + escape_md_chars(self.tokenlist2str(sent)) + "`\n")) + + instruction_ing_tokens = [] + instruction_act_tokens = [] + + ing_dist_last_token = [] + act_dist_last_token = [] + + + last_token = -1 + + for i, token in enumerate(sent): + t_misc = token['misc'] + if t_misc is not None and "food_type" in t_misc: + ftype = t_misc['food_type'] + if ftype == "ingredient": + instruction_ing_tokens.append(token) + ing_dist_last_token.append(1000 if last_token < 0 else i - last_token) + last_token = i + elif ftype == "action": + instruction_act_tokens.append(token) + act_dist_last_token.append(1000 if last_token < 0 else i - last_token) + last_token = i + + # cluster ingredient tokens together and apply actions on it: + clustered_ingredients = [] + clustered_conllu_ids = [] + clustered_last_tokens = [] + i = 0 + n = len(instruction_ing_tokens) + + current_token_start = 0 + while i < n: + current_token_start = i + clustered_conllu_ids.append(instruction_ing_tokens[i]['id']) + clustered_last_tokens.append(ing_dist_last_token[i]) + ing_str = instruction_ing_tokens[i]['lemma'] + while i+1 < n and instruction_ing_tokens[i+1]['id'] - instruction_ing_tokens[i]['id'] == 1: + ing_str += " " + instruction_ing_tokens[i+1]['lemma'] + i += 1 + clustered_ingredients.append(ing_str) + i += 1 + + def matching_action(ing_str, ing_id, action_token_list): + + action = None + action_dists = [act['id'] - ing_id for act in action_token_list] + + # so far: simple heuristic by matching to next action to the left + # (or first action to the right, if there is no one left to the ingredient) + + for i in range(len(action_token_list)): + if action_dists[i] < 0: + action = action_token_list[i] + + return action + + ingredients_used = set() + actions_used = set() + + if debug: + print("apply actions regular rule based:") + + for i, ing_str in enumerate(clustered_ingredients): + + ing = Ingredient(ing_str) + + # get matching action: + action = matching_action(ing_str, clustered_conllu_ids[i], instruction_act_tokens) + + if clustered_last_tokens[i] < max_dist_last_token: + if action is not None: + actions_used.add(action['lemma']) + ingredients_used.add(ing_str) + # apply action on state + current_state.apply_action(action['lemma'], ing, instruction_number=instruction_number) + if debug: + print(f"\tapply {action['lemma']} on {ing}") + + if debug: + print("try to match unused actions:") + # go throuh all actions. if we found an unused one, we assume it is applied either on the next right ingredient. + + + for act_token in instruction_act_tokens: + if act_token['lemma'] not in actions_used: + # fing next ingredient right to it + next_ing = None + for i, ing_str in enumerate(clustered_ingredients): + if clustered_conllu_ids[i] > act_token['id']: + actions_used.add(act_token['lemma']) + ingredients_used.add(ing_str) + ing = Ingredient(ing_str) + current_state.apply_action(act_token['lemma'], ing, instruction_number=instruction_number) + if debug: + print(f"\tapply {act_token['lemma']} on {ing}") + break + + + actions_unused = [] + ingredients_unused = [] + + + for act_token in instruction_act_tokens: + if act_token['lemma'] in actions_used: + continue + actions_unused.append(act_token['lemma']) + + for ing_str in clustered_ingredients: + if ing_str in ingredients_used: + continue + ingredients_unused.append(ing_str) + + if debug: + print(f"\nunused actions: {actions_unused} \nunused ings: {ingredients_unused}\n") + + if (instruction_number > 1): + if debug: + print("mixing ingredients based on mixing actions with last instruction:") + for ing in current_state.get_ingredients_touched_in_instruction(instruction_number -1): + ing.mark_for_mixing() + + for ing in current_state.get_combined_ingredients(): + if debug: + print(f"\t* {ing}") + + if debug: + print("mixing all ingredients in this instruction:") + + for ing_str in clustered_ingredients: + current_state.apply_action("mix", Ingredient(ing_str), instruction_number=instruction_number) + + for ing in current_state.get_combined_ingredients(): + if debug: + print(f"\t* {ing}") + + + # if no ingredient is found, apply actions on all ingredients so far used + + if len(clustered_ingredients) == 0 and len(actions_unused) > 0: + if debug: + print("\nno ingredients found. So apply actions on all ingredients that are touched so far:") + for action in actions_unused: + current_state.apply_action_on_all(action, instruction_number, exclude_instruction_number=0) + + if debug: + print(f"\nstate after instruction {instruction_number}:") + print(current_state) + print("\n") + + def plot_matrices(self): + if self._recipe_state is None: + print("Error: no recipe state found") + return + + mixings, mix_labels = self._recipe_state.get_mixing_matrix() + + x_labels = [f"{ing._base_ingredient} 🡸 ({' '.join([act for act in ing._action_set])})" for ing in mix_labels] + y_labels = [f"({' '.join([act for act in ing._action_set])}) 🢂 {ing._base_ingredient}" for ing in mix_labels] + + + fig = go.Figure(data=go.Heatmap( + z=mixings, + x=x_labels, + y=y_labels, + xgap = 1, + ygap = 1,)) + + fig.update_layout( + width=1024, + height=1024, + yaxis = dict( + scaleanchor = "x", + scaleratio = 1, + ) + ) + fig.show() + + + actions, act_labels, ing_labels = self._recipe_state.get_action_matrix() + + + fig = go.Figure(data=go.Heatmap( + z=actions, + x=[f"{ing._base_ingredient} 🡸 ({' '.join([act for act in ing._action_set])})" for ing in ing_labels], + y=[str(a) for a in act_labels], + xgap = 1, + ygap = 1,)) + + fig.update_layout( + width=1024, + height=1024, + yaxis = dict( + scaleanchor = "x", + scaleratio = 1, + ) + ) + fig.show() + + + diff --git a/Vocabulary/Vocabulary Creation.ipynb b/Vocabulary/Vocabulary Creation.ipynb index cc10485..ed88b72 100644 --- a/Vocabulary/Vocabulary Creation.ipynb +++ b/Vocabulary/Vocabulary Creation.ipynb @@ -14575,25 +14575,25 @@ } } }, - "image/png": 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", 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", 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