sypikslang: gamelib/lab.py annotate

annotate gamelib/lab.py @ 266:381fa22d217b

Fix width / height confusion buglet

author	Neil Muller <drnlmuller@gmail.com>
date	Sun, 15 Dec 2013 11:43:17 +0200
parents	52cc28b429b7
children

rev	line source
14 9d61abb3cfaf Better subclass handling. Jeremy Thurgood <firxen@gmail.com> parents: 9 diff changeset	1 # -- test-case-name: gamelib.tests.test_lab --
6 826b44731323 Start of basic lab implementation. Jeremy Thurgood <firxen@gmail.com> parents: diff changeset	2
151 372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	3 from random import random, choice, sample
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	4
49 373c57ab4140 Product -> Schematic. Jeremy Thurgood <firxen@gmail.com> parents: 47 diff changeset	5 from gamelib import research, schematics
45 1e8f7e694f0c Refactor missions and sciences a bit to reduce duplication. Jeremy Thurgood <firxen@gmail.com> parents: 36 diff changeset	6 from gamelib.game_base import get_subclasses
6 826b44731323 Start of basic lab implementation. Jeremy Thurgood <firxen@gmail.com> parents: diff changeset	7
826b44731323 Start of basic lab implementation. Jeremy Thurgood <firxen@gmail.com> parents: diff changeset	8
151 372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	9 class ScienceGraph(object):
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	10 def __init__(self, all_science, known_science):
153 a644f6b64a6d Implement just the tiny bit of networkx we actually need, so we can drop the extra dependency. Jeremy Thurgood <firxen@gmail.com> parents: 151 diff changeset	11 self._graph = {}
a644f6b64a6d Implement just the tiny bit of networkx we actually need, so we can drop the extra dependency. Jeremy Thurgood <firxen@gmail.com> parents: 151 diff changeset	12 self.node = {}
151 372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	13 self.all_science = all_science
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	14 self.known_science = known_science
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	15 self.add_all_science()
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	16 self.tag_known_science()
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	17
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	18 def add_all_science(self):
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	19 # Add level 0 of everything to the graph.
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	20 for science in self.all_science:
153 a644f6b64a6d Implement just the tiny bit of networkx we actually need, so we can drop the extra dependency. Jeremy Thurgood <firxen@gmail.com> parents: 151 diff changeset	21 self.add_node((science, 0), known=False)
151 372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	22
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	23 # Walk dependencies and fill in intermediate nodes.
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	24 for science in self.all_science:
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	25 for dep in science.PREREQUISITES:
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	26 self.add_node_string(*dep)
153 a644f6b64a6d Implement just the tiny bit of networkx we actually need, so we can drop the extra dependency. Jeremy Thurgood <firxen@gmail.com> parents: 151 diff changeset	27 self.add_edge(dep, (science, 0))
a644f6b64a6d Implement just the tiny bit of networkx we actually need, so we can drop the extra dependency. Jeremy Thurgood <firxen@gmail.com> parents: 151 diff changeset	28
a644f6b64a6d Implement just the tiny bit of networkx we actually need, so we can drop the extra dependency. Jeremy Thurgood <firxen@gmail.com> parents: 151 diff changeset	29 def add_node(self, node, **attrs):
a644f6b64a6d Implement just the tiny bit of networkx we actually need, so we can drop the extra dependency. Jeremy Thurgood <firxen@gmail.com> parents: 151 diff changeset	30 self.node[node] = attrs
a644f6b64a6d Implement just the tiny bit of networkx we actually need, so we can drop the extra dependency. Jeremy Thurgood <firxen@gmail.com> parents: 151 diff changeset	31 self._graph[node] = {}
a644f6b64a6d Implement just the tiny bit of networkx we actually need, so we can drop the extra dependency. Jeremy Thurgood <firxen@gmail.com> parents: 151 diff changeset	32
a644f6b64a6d Implement just the tiny bit of networkx we actually need, so we can drop the extra dependency. Jeremy Thurgood <firxen@gmail.com> parents: 151 diff changeset	33 def add_edge(self, a, b, **attrs):
a644f6b64a6d Implement just the tiny bit of networkx we actually need, so we can drop the extra dependency. Jeremy Thurgood <firxen@gmail.com> parents: 151 diff changeset	34 if a not in self._graph:
a644f6b64a6d Implement just the tiny bit of networkx we actually need, so we can drop the extra dependency. Jeremy Thurgood <firxen@gmail.com> parents: 151 diff changeset	35 self.add_node(a)
a644f6b64a6d Implement just the tiny bit of networkx we actually need, so we can drop the extra dependency. Jeremy Thurgood <firxen@gmail.com> parents: 151 diff changeset	36 if b not in self._graph:
a644f6b64a6d Implement just the tiny bit of networkx we actually need, so we can drop the extra dependency. Jeremy Thurgood <firxen@gmail.com> parents: 151 diff changeset	37 self.add_node(b)
a644f6b64a6d Implement just the tiny bit of networkx we actually need, so we can drop the extra dependency. Jeremy Thurgood <firxen@gmail.com> parents: 151 diff changeset	38 self._graph[a][b] = attrs
a644f6b64a6d Implement just the tiny bit of networkx we actually need, so we can drop the extra dependency. Jeremy Thurgood <firxen@gmail.com> parents: 151 diff changeset	39
a644f6b64a6d Implement just the tiny bit of networkx we actually need, so we can drop the extra dependency. Jeremy Thurgood <firxen@gmail.com> parents: 151 diff changeset	40 def predecessors(self, node):
a644f6b64a6d Implement just the tiny bit of networkx we actually need, so we can drop the extra dependency. Jeremy Thurgood <firxen@gmail.com> parents: 151 diff changeset	41 preds = []
a644f6b64a6d Implement just the tiny bit of networkx we actually need, so we can drop the extra dependency. Jeremy Thurgood <firxen@gmail.com> parents: 151 diff changeset	42 for n, e in self._graph.iteritems():
a644f6b64a6d Implement just the tiny bit of networkx we actually need, so we can drop the extra dependency. Jeremy Thurgood <firxen@gmail.com> parents: 151 diff changeset	43 if node in e:
a644f6b64a6d Implement just the tiny bit of networkx we actually need, so we can drop the extra dependency. Jeremy Thurgood <firxen@gmail.com> parents: 151 diff changeset	44 preds.append(n)
a644f6b64a6d Implement just the tiny bit of networkx we actually need, so we can drop the extra dependency. Jeremy Thurgood <firxen@gmail.com> parents: 151 diff changeset	45 return preds
151 372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	46
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	47 def add_node_string(self, science, level):
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	48 node = (science, level)
153 a644f6b64a6d Implement just the tiny bit of networkx we actually need, so we can drop the extra dependency. Jeremy Thurgood <firxen@gmail.com> parents: 151 diff changeset	49 if node in self._graph:
151 372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	50 return node
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	51
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	52 # We prepopulate with level 0 of eveything.
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	53 assert level >= 0
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	54
153 a644f6b64a6d Implement just the tiny bit of networkx we actually need, so we can drop the extra dependency. Jeremy Thurgood <firxen@gmail.com> parents: 151 diff changeset	55 self.add_node(node, known=False)
151 372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	56 parent = self.add_node_string(science, level - 1)
153 a644f6b64a6d Implement just the tiny bit of networkx we actually need, so we can drop the extra dependency. Jeremy Thurgood <firxen@gmail.com> parents: 151 diff changeset	57 self.add_edge(parent, node)
151 372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	58 return node
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	59
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	60 def tag_known_science(self):
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	61 for science in self.known_science:
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	62 # We may know more of this than the graph has.
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	63 self.add_node_string(type(science), science.points + 1)
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	64 for i in range(science.points + 1):
153 a644f6b64a6d Implement just the tiny bit of networkx we actually need, so we can drop the extra dependency. Jeremy Thurgood <firxen@gmail.com> parents: 151 diff changeset	65 self.node[(type(science), i)]['known'] = True
151 372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	66
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	67 def is_known(self, node):
153 a644f6b64a6d Implement just the tiny bit of networkx we actually need, so we can drop the extra dependency. Jeremy Thurgood <firxen@gmail.com> parents: 151 diff changeset	68 return self.node[node]['known']
151 372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	69
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	70 def distances_to_known(self, science):
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	71 nodes = set()
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	72 nodes_to_check = [(science, 0)]
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	73
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	74 while nodes_to_check:
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	75 node = nodes_to_check.pop()
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	76 if self.is_known(node) or node in nodes:
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	77 continue
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	78 nodes.add(node)
153 a644f6b64a6d Implement just the tiny bit of networkx we actually need, so we can drop the extra dependency. Jeremy Thurgood <firxen@gmail.com> parents: 151 diff changeset	79 nodes_to_check.extend(self.predecessors(node))
151 372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	80
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	81 distances = {}
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	82 for node in nodes:
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	83 distances.setdefault(node[0], 0)
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	84 distances[node[0]] += 1
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	85
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	86 return distances
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	87
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	88 def count_unknown(self, sciences):
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	89 return len([s for s in sciences if not self.is_known((s, 0))])
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	90
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	91 def find_prospects(self):
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	92 prospects = {'research': [], 'schematic': []}
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	93 for science in self.all_science:
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	94 distances = self.distances_to_known(science)
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	95 if not distances:
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	96 # We already know this thing.
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	97 continue
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	98 # Remove the thing we're trying to get from the distance.
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	99 distances.pop(science)
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	100 if self.count_unknown(distances.keys()) > 0:
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	101 # We only want direct breakthroughs.
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	102 continue
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	103 prospects[science.SCIENCE_TYPE].append(
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	104 (sum(distances.values()), science, distances))
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	105 return dict((k, sorted(v)) for k, v in prospects.items())
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	106
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	107 def find_promising_areas(self, size=3):
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	108 basic_science = False
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	109 areas_for_research = set()
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	110 areas_for_schematics = set()
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	111 prospects = self.find_prospects()
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	112
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	113 for points, target, distances in prospects['schematic']:
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	114 if points > 0:
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	115 # We need nonzero points in these things.
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	116 areas_for_schematics.update(distances.keys())
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	117 else:
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	118 # Any of these things qualify us.
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	119 areas_for_schematics.update(p for p, _ in target.PREREQUISITES)
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	120
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	121 for points, target, distances in prospects['research']:
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	122 if points == 0:
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	123 basic_science = True
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	124 else:
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	125 areas_for_research.update(distances.keys())
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	126
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	127 suggestions = []
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	128 k = min(size, len(areas_for_schematics))
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	129 suggestions.extend(sample(areas_for_schematics, k))
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	130 if len(suggestions) < size:
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	131 k = min(size - len(suggestions), len(areas_for_research))
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	132 suggestions.extend(sample(areas_for_research, k))
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	133
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	134 return basic_science, suggestions
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	135
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	136
6 826b44731323 Start of basic lab implementation. Jeremy Thurgood <firxen@gmail.com> parents: diff changeset	137 class Lab(object):
17 10d3db1f1e08 Set up initial research and rework breakthroughs. Jeremy Thurgood <firxen@gmail.com> parents: 14 diff changeset	138 BASIC_RESEARCH_SUCCESS_RATE = 0.05
10d3db1f1e08 Set up initial research and rework breakthroughs. Jeremy Thurgood <firxen@gmail.com> parents: 14 diff changeset	139 BASIC_RESEARCH_SUCCESS_MULTIPLIER = 2
10d3db1f1e08 Set up initial research and rework breakthroughs. Jeremy Thurgood <firxen@gmail.com> parents: 14 diff changeset	140
20 718d1ec382f7 Deserialise lab data. Jeremy Thurgood <firxen@gmail.com> parents: 17 diff changeset	141 def __init__(self, init_data=None):
6 826b44731323 Start of basic lab implementation. Jeremy Thurgood <firxen@gmail.com> parents: diff changeset	142 self.science = []
45 1e8f7e694f0c Refactor missions and sciences a bit to reduce duplication. Jeremy Thurgood <firxen@gmail.com> parents: 36 diff changeset	143 self.new_research = get_subclasses(research.ResearchArea)
49 373c57ab4140 Product -> Schematic. Jeremy Thurgood <firxen@gmail.com> parents: 47 diff changeset	144 self.new_schematics = get_subclasses(schematics.Schematic)
151 372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	145 self.all_science = [s for s in self.new_research + self.new_schematics]
177 4bbd4a1879f8 Plagiarism! (Only be sure, please, to always call it research) Neil Muller <drnlmuller@gmail.com> parents: 153 diff changeset	146 self._stolen = [] # Track stuff we learnt by theft this turn
20 718d1ec382f7 Deserialise lab data. Jeremy Thurgood <firxen@gmail.com> parents: 17 diff changeset	147
718d1ec382f7 Deserialise lab data. Jeremy Thurgood <firxen@gmail.com> parents: 17 diff changeset	148 if init_data is not None:
718d1ec382f7 Deserialise lab data. Jeremy Thurgood <firxen@gmail.com> parents: 17 diff changeset	149 # Load stored state.
718d1ec382f7 Deserialise lab data. Jeremy Thurgood <firxen@gmail.com> parents: 17 diff changeset	150 self._load_data(init_data)
718d1ec382f7 Deserialise lab data. Jeremy Thurgood <firxen@gmail.com> parents: 17 diff changeset	151 else:
718d1ec382f7 Deserialise lab data. Jeremy Thurgood <firxen@gmail.com> parents: 17 diff changeset	152 # New game.
718d1ec382f7 Deserialise lab data. Jeremy Thurgood <firxen@gmail.com> parents: 17 diff changeset	153 self._choose_initial_science()
718d1ec382f7 Deserialise lab data. Jeremy Thurgood <firxen@gmail.com> parents: 17 diff changeset	154
718d1ec382f7 Deserialise lab data. Jeremy Thurgood <firxen@gmail.com> parents: 17 diff changeset	155 def _load_data(self, init_data):
46 d3d277a42ac6 Less getattr/isinstance silliness. Jeremy Thurgood <firxen@gmail.com> parents: 45 diff changeset	156 sciences = init_data['science'].copy()
49 373c57ab4140 Product -> Schematic. Jeremy Thurgood <firxen@gmail.com> parents: 47 diff changeset	157 for science in self.new_schematics + self.new_research:
46 d3d277a42ac6 Less getattr/isinstance silliness. Jeremy Thurgood <firxen@gmail.com> parents: 45 diff changeset	158 # Check if this science is one we should know.
d3d277a42ac6 Less getattr/isinstance silliness. Jeremy Thurgood <firxen@gmail.com> parents: 45 diff changeset	159 points = sciences.pop(science.save_name(), None)
d3d277a42ac6 Less getattr/isinstance silliness. Jeremy Thurgood <firxen@gmail.com> parents: 45 diff changeset	160 if points is not None:
d3d277a42ac6 Less getattr/isinstance silliness. Jeremy Thurgood <firxen@gmail.com> parents: 45 diff changeset	161 # It is! Learn it.
d3d277a42ac6 Less getattr/isinstance silliness. Jeremy Thurgood <firxen@gmail.com> parents: 45 diff changeset	162 self._gain_science(science(points))
d3d277a42ac6 Less getattr/isinstance silliness. Jeremy Thurgood <firxen@gmail.com> parents: 45 diff changeset	163 if sciences:
d3d277a42ac6 Less getattr/isinstance silliness. Jeremy Thurgood <firxen@gmail.com> parents: 45 diff changeset	164 # We're supposed to know an unknowable thing. :-(
d3d277a42ac6 Less getattr/isinstance silliness. Jeremy Thurgood <firxen@gmail.com> parents: 45 diff changeset	165 raise ValueError("Unknown science: %s" % (sciences.keys(),))
17 10d3db1f1e08 Set up initial research and rework breakthroughs. Jeremy Thurgood <firxen@gmail.com> parents: 14 diff changeset	166
21 bdc6bfc34ef2 Serialise lab data. Jeremy Thurgood <firxen@gmail.com> parents: 20 diff changeset	167 def save_data(self):
47 3e3bed2ce248 Better science saving. Jeremy Thurgood <firxen@gmail.com> parents: 46 diff changeset	168 return {'science': dict(s.save_data() for s in self.science)}
21 bdc6bfc34ef2 Serialise lab data. Jeremy Thurgood <firxen@gmail.com> parents: 20 diff changeset	169
17 10d3db1f1e08 Set up initial research and rework breakthroughs. Jeremy Thurgood <firxen@gmail.com> parents: 14 diff changeset	170 def _choose_initial_science(self):
49 373c57ab4140 Product -> Schematic. Jeremy Thurgood <firxen@gmail.com> parents: 47 diff changeset	171 # We always get all starting schematics.
373c57ab4140 Product -> Schematic. Jeremy Thurgood <firxen@gmail.com> parents: 47 diff changeset	172 for schematic in self.new_schematics[:]:
373c57ab4140 Product -> Schematic. Jeremy Thurgood <firxen@gmail.com> parents: 47 diff changeset	173 if schematic.STARTING_PRODUCT:
373c57ab4140 Product -> Schematic. Jeremy Thurgood <firxen@gmail.com> parents: 47 diff changeset	174 self._gain_science(schematic())
17 10d3db1f1e08 Set up initial research and rework breakthroughs. Jeremy Thurgood <firxen@gmail.com> parents: 14 diff changeset	175
115 ef63532cac13 Rearrange SCIENCE a bit. Jeremy Thurgood <firxen@gmail.com> parents: 85 diff changeset	176 # We start with Physics, because it's not Philately.
ef63532cac13 Rearrange SCIENCE a bit. Jeremy Thurgood <firxen@gmail.com> parents: 85 diff changeset	177 physics = research.Physics()
ef63532cac13 Rearrange SCIENCE a bit. Jeremy Thurgood <firxen@gmail.com> parents: 85 diff changeset	178 self._gain_science(physics)
ef63532cac13 Rearrange SCIENCE a bit. Jeremy Thurgood <firxen@gmail.com> parents: 85 diff changeset	179 new_science = [physics]
ef63532cac13 Rearrange SCIENCE a bit. Jeremy Thurgood <firxen@gmail.com> parents: 85 diff changeset	180
ef63532cac13 Rearrange SCIENCE a bit. Jeremy Thurgood <firxen@gmail.com> parents: 85 diff changeset	181 # We get two other random sciences with no prerequisites.
151 372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	182 for science in sample(self.find_new_research(), 2):
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	183 science = science()
17 10d3db1f1e08 Set up initial research and rework breakthroughs. Jeremy Thurgood <firxen@gmail.com> parents: 14 diff changeset	184 self._gain_science(science)
10d3db1f1e08 Set up initial research and rework breakthroughs. Jeremy Thurgood <firxen@gmail.com> parents: 14 diff changeset	185 new_science.append(science)
10d3db1f1e08 Set up initial research and rework breakthroughs. Jeremy Thurgood <firxen@gmail.com> parents: 14 diff changeset	186
49 373c57ab4140 Product -> Schematic. Jeremy Thurgood <firxen@gmail.com> parents: 47 diff changeset	187 # Add a point to each of our sciences, and see if we get schematics.
17 10d3db1f1e08 Set up initial research and rework breakthroughs. Jeremy Thurgood <firxen@gmail.com> parents: 14 diff changeset	188 self.spend_points(new_science, 0)
10d3db1f1e08 Set up initial research and rework breakthroughs. Jeremy Thurgood <firxen@gmail.com> parents: 14 diff changeset	189
10d3db1f1e08 Set up initial research and rework breakthroughs. Jeremy Thurgood <firxen@gmail.com> parents: 14 diff changeset	190 def _gain_science(self, science):
10d3db1f1e08 Set up initial research and rework breakthroughs. Jeremy Thurgood <firxen@gmail.com> parents: 14 diff changeset	191 self.science.append(science)
10d3db1f1e08 Set up initial research and rework breakthroughs. Jeremy Thurgood <firxen@gmail.com> parents: 14 diff changeset	192 if isinstance(science, research.ResearchArea):
10d3db1f1e08 Set up initial research and rework breakthroughs. Jeremy Thurgood <firxen@gmail.com> parents: 14 diff changeset	193 self.new_research.remove(type(science))
49 373c57ab4140 Product -> Schematic. Jeremy Thurgood <firxen@gmail.com> parents: 47 diff changeset	194 elif isinstance(science, schematics.Schematic):
373c57ab4140 Product -> Schematic. Jeremy Thurgood <firxen@gmail.com> parents: 47 diff changeset	195 self.new_schematics.remove(type(science))
6 826b44731323 Start of basic lab implementation. Jeremy Thurgood <firxen@gmail.com> parents: diff changeset	196
177 4bbd4a1879f8 Plagiarism! (Only be sure, please, to always call it research) Neil Muller <drnlmuller@gmail.com> parents: 153 diff changeset	197 def steal_science(self, science):
178 52cc28b429b7 Debugging Neil Muller <drnlmuller@gmail.com> parents: 177 diff changeset	198 stolen = science()
52cc28b429b7 Debugging Neil Muller <drnlmuller@gmail.com> parents: 177 diff changeset	199 self._gain_science(stolen)
52cc28b429b7 Debugging Neil Muller <drnlmuller@gmail.com> parents: 177 diff changeset	200 self._stolen.append(stolen)
177 4bbd4a1879f8 Plagiarism! (Only be sure, please, to always call it research) Neil Muller <drnlmuller@gmail.com> parents: 153 diff changeset	201
6 826b44731323 Start of basic lab implementation. Jeremy Thurgood <firxen@gmail.com> parents: diff changeset	202 def spend_points(self, things, basic_research):
17 10d3db1f1e08 Set up initial research and rework breakthroughs. Jeremy Thurgood <firxen@gmail.com> parents: 14 diff changeset	203 breakthroughs = []
10d3db1f1e08 Set up initial research and rework breakthroughs. Jeremy Thurgood <firxen@gmail.com> parents: 14 diff changeset	204
10d3db1f1e08 Set up initial research and rework breakthroughs. Jeremy Thurgood <firxen@gmail.com> parents: 14 diff changeset	205 # First, allocate the points.
6 826b44731323 Start of basic lab implementation. Jeremy Thurgood <firxen@gmail.com> parents: diff changeset	206 for thing in things:
826b44731323 Start of basic lab implementation. Jeremy Thurgood <firxen@gmail.com> parents: diff changeset	207 assert thing in self.science
58 52913ba12988 Check for multiple points in can_spend Neil Muller <drnlmuller@gmail.com> parents: 49 diff changeset	208 assert thing.can_spend(self, 1)
17 10d3db1f1e08 Set up initial research and rework breakthroughs. Jeremy Thurgood <firxen@gmail.com> parents: 14 diff changeset	209 thing.spend_point()
10d3db1f1e08 Set up initial research and rework breakthroughs. Jeremy Thurgood <firxen@gmail.com> parents: 14 diff changeset	210
177 4bbd4a1879f8 Plagiarism! (Only be sure, please, to always call it research) Neil Muller <drnlmuller@gmail.com> parents: 153 diff changeset	211 # Then, gain any stolen science
4bbd4a1879f8 Plagiarism! (Only be sure, please, to always call it research) Neil Muller <drnlmuller@gmail.com> parents: 153 diff changeset	212 breakthroughs.extend(self._stolen)
4bbd4a1879f8 Plagiarism! (Only be sure, please, to always call it research) Neil Muller <drnlmuller@gmail.com> parents: 153 diff changeset	213 self._stolen = []
4bbd4a1879f8 Plagiarism! (Only be sure, please, to always call it research) Neil Muller <drnlmuller@gmail.com> parents: 153 diff changeset	214
49 373c57ab4140 Product -> Schematic. Jeremy Thurgood <firxen@gmail.com> parents: 47 diff changeset	215 # Next, check for schematic breakthroughs and upgrades
85 182fce9f70b6 Propaganda! Also, a fix to blueprint breakthroughs. Jeremy Thurgood <firxen@gmail.com> parents: 73 diff changeset	216 breakthroughs.extend(self.apply_area_research([
182fce9f70b6 Propaganda! Also, a fix to blueprint breakthroughs. Jeremy Thurgood <firxen@gmail.com> parents: 73 diff changeset	217 thing for thing in things
182fce9f70b6 Propaganda! Also, a fix to blueprint breakthroughs. Jeremy Thurgood <firxen@gmail.com> parents: 73 diff changeset	218 if isinstance(thing, research.ResearchArea)]))
17 10d3db1f1e08 Set up initial research and rework breakthroughs. Jeremy Thurgood <firxen@gmail.com> parents: 14 diff changeset	219
10d3db1f1e08 Set up initial research and rework breakthroughs. Jeremy Thurgood <firxen@gmail.com> parents: 14 diff changeset	220 # Finally, check for research breakthroughs.
10d3db1f1e08 Set up initial research and rework breakthroughs. Jeremy Thurgood <firxen@gmail.com> parents: 14 diff changeset	221 breakthroughs.extend(self.apply_basic_research(basic_research))
10d3db1f1e08 Set up initial research and rework breakthroughs. Jeremy Thurgood <firxen@gmail.com> parents: 14 diff changeset	222
10d3db1f1e08 Set up initial research and rework breakthroughs. Jeremy Thurgood <firxen@gmail.com> parents: 14 diff changeset	223 return breakthroughs
6 826b44731323 Start of basic lab implementation. Jeremy Thurgood <firxen@gmail.com> parents: diff changeset	224
826b44731323 Start of basic lab implementation. Jeremy Thurgood <firxen@gmail.com> parents: diff changeset	225 def _get_science(self, science_class):
826b44731323 Start of basic lab implementation. Jeremy Thurgood <firxen@gmail.com> parents: diff changeset	226 for science in self.science:
826b44731323 Start of basic lab implementation. Jeremy Thurgood <firxen@gmail.com> parents: diff changeset	227 if isinstance(science, science_class):
826b44731323 Start of basic lab implementation. Jeremy Thurgood <firxen@gmail.com> parents: diff changeset	228 return science
826b44731323 Start of basic lab implementation. Jeremy Thurgood <firxen@gmail.com> parents: diff changeset	229 return None
826b44731323 Start of basic lab implementation. Jeremy Thurgood <firxen@gmail.com> parents: diff changeset	230
17 10d3db1f1e08 Set up initial research and rework breakthroughs. Jeremy Thurgood <firxen@gmail.com> parents: 14 diff changeset	231 def meet_requirements(self, science_class, extra=0):
10d3db1f1e08 Set up initial research and rework breakthroughs. Jeremy Thurgood <firxen@gmail.com> parents: 14 diff changeset	232 total_points = 0
10d3db1f1e08 Set up initial research and rework breakthroughs. Jeremy Thurgood <firxen@gmail.com> parents: 14 diff changeset	233 base_points = 0
6 826b44731323 Start of basic lab implementation. Jeremy Thurgood <firxen@gmail.com> parents: diff changeset	234 for science, level in science_class.PREREQUISITES:
826b44731323 Start of basic lab implementation. Jeremy Thurgood <firxen@gmail.com> parents: diff changeset	235 my_science = self._get_science(science)
826b44731323 Start of basic lab implementation. Jeremy Thurgood <firxen@gmail.com> parents: diff changeset	236 if my_science is None:
826b44731323 Start of basic lab implementation. Jeremy Thurgood <firxen@gmail.com> parents: diff changeset	237 return False
826b44731323 Start of basic lab implementation. Jeremy Thurgood <firxen@gmail.com> parents: diff changeset	238 if my_science.points < level:
826b44731323 Start of basic lab implementation. Jeremy Thurgood <firxen@gmail.com> parents: diff changeset	239 return False
17 10d3db1f1e08 Set up initial research and rework breakthroughs. Jeremy Thurgood <firxen@gmail.com> parents: 14 diff changeset	240 base_points += level
10d3db1f1e08 Set up initial research and rework breakthroughs. Jeremy Thurgood <firxen@gmail.com> parents: 14 diff changeset	241 total_points += my_science.points
10d3db1f1e08 Set up initial research and rework breakthroughs. Jeremy Thurgood <firxen@gmail.com> parents: 14 diff changeset	242 return total_points - base_points >= extra
6 826b44731323 Start of basic lab implementation. Jeremy Thurgood <firxen@gmail.com> parents: diff changeset	243
49 373c57ab4140 Product -> Schematic. Jeremy Thurgood <firxen@gmail.com> parents: 47 diff changeset	244 def find_new_schematics(self):
373c57ab4140 Product -> Schematic. Jeremy Thurgood <firxen@gmail.com> parents: 47 diff changeset	245 available_schematics = []
373c57ab4140 Product -> Schematic. Jeremy Thurgood <firxen@gmail.com> parents: 47 diff changeset	246 for schematic_class in self.new_schematics:
373c57ab4140 Product -> Schematic. Jeremy Thurgood <firxen@gmail.com> parents: 47 diff changeset	247 if self.meet_requirements(schematic_class):
373c57ab4140 Product -> Schematic. Jeremy Thurgood <firxen@gmail.com> parents: 47 diff changeset	248 available_schematics.append(schematic_class)
373c57ab4140 Product -> Schematic. Jeremy Thurgood <firxen@gmail.com> parents: 47 diff changeset	249 return available_schematics
6 826b44731323 Start of basic lab implementation. Jeremy Thurgood <firxen@gmail.com> parents: diff changeset	250
17 10d3db1f1e08 Set up initial research and rework breakthroughs. Jeremy Thurgood <firxen@gmail.com> parents: 14 diff changeset	251 def find_new_research(self):
6 826b44731323 Start of basic lab implementation. Jeremy Thurgood <firxen@gmail.com> parents: diff changeset	252 available_research = []
14 9d61abb3cfaf Better subclass handling. Jeremy Thurgood <firxen@gmail.com> parents: 9 diff changeset	253 for research_class in self.new_research:
17 10d3db1f1e08 Set up initial research and rework breakthroughs. Jeremy Thurgood <firxen@gmail.com> parents: 14 diff changeset	254 if self.meet_requirements(research_class):
6 826b44731323 Start of basic lab implementation. Jeremy Thurgood <firxen@gmail.com> parents: diff changeset	255 available_research.append(research_class)
826b44731323 Start of basic lab implementation. Jeremy Thurgood <firxen@gmail.com> parents: diff changeset	256 return available_research
17 10d3db1f1e08 Set up initial research and rework breakthroughs. Jeremy Thurgood <firxen@gmail.com> parents: 14 diff changeset	257
73 b503ccb0a86e Only one schematic per turn, please. Jeremy Thurgood <firxen@gmail.com> parents: 58 diff changeset	258 def apply_area_research(self, researches):
49 373c57ab4140 Product -> Schematic. Jeremy Thurgood <firxen@gmail.com> parents: 47 diff changeset	259 options = [schema for schema in self.find_new_schematics()
73 b503ccb0a86e Only one schematic per turn, please. Jeremy Thurgood <firxen@gmail.com> parents: 58 diff changeset	260 if schema.depends_on(researches)]
49 373c57ab4140 Product -> Schematic. Jeremy Thurgood <firxen@gmail.com> parents: 47 diff changeset	261 breakthroughs = [schematic for schematic in options
373c57ab4140 Product -> Schematic. Jeremy Thurgood <firxen@gmail.com> parents: 47 diff changeset	262 if random() < schematic.ACQUISITION_CHANCE]
17 10d3db1f1e08 Set up initial research and rework breakthroughs. Jeremy Thurgood <firxen@gmail.com> parents: 14 diff changeset	263 if breakthroughs:
10d3db1f1e08 Set up initial research and rework breakthroughs. Jeremy Thurgood <firxen@gmail.com> parents: 14 diff changeset	264 breakthrough = choice(breakthroughs)()
10d3db1f1e08 Set up initial research and rework breakthroughs. Jeremy Thurgood <firxen@gmail.com> parents: 14 diff changeset	265 self._gain_science(breakthrough)
10d3db1f1e08 Set up initial research and rework breakthroughs. Jeremy Thurgood <firxen@gmail.com> parents: 14 diff changeset	266 breakthroughs = [breakthrough]
10d3db1f1e08 Set up initial research and rework breakthroughs. Jeremy Thurgood <firxen@gmail.com> parents: 14 diff changeset	267 return breakthroughs
10d3db1f1e08 Set up initial research and rework breakthroughs. Jeremy Thurgood <firxen@gmail.com> parents: 14 diff changeset	268
10d3db1f1e08 Set up initial research and rework breakthroughs. Jeremy Thurgood <firxen@gmail.com> parents: 14 diff changeset	269 def apply_basic_research(self, basic_research):
138 14917385a0fd Better handling of mission results and turn-end messages. Jeremy Thurgood <firxen@gmail.com> parents: 115 diff changeset	270 if basic_research <= 0:
17 10d3db1f1e08 Set up initial research and rework breakthroughs. Jeremy Thurgood <firxen@gmail.com> parents: 14 diff changeset	271 return []
10d3db1f1e08 Set up initial research and rework breakthroughs. Jeremy Thurgood <firxen@gmail.com> parents: 14 diff changeset	272
10d3db1f1e08 Set up initial research and rework breakthroughs. Jeremy Thurgood <firxen@gmail.com> parents: 14 diff changeset	273 options = self.find_new_research()
10d3db1f1e08 Set up initial research and rework breakthroughs. Jeremy Thurgood <firxen@gmail.com> parents: 14 diff changeset	274 success_chance = self.BASIC_RESEARCH_SUCCESS_RATE * (
10d3db1f1e08 Set up initial research and rework breakthroughs. Jeremy Thurgood <firxen@gmail.com> parents: 14 diff changeset	275 self.BASIC_RESEARCH_SUCCESS_MULTIPLIER ** basic_research)
10d3db1f1e08 Set up initial research and rework breakthroughs. Jeremy Thurgood <firxen@gmail.com> parents: 14 diff changeset	276 breakthroughs = [research for research in options
10d3db1f1e08 Set up initial research and rework breakthroughs. Jeremy Thurgood <firxen@gmail.com> parents: 14 diff changeset	277 if random() < success_chance]
10d3db1f1e08 Set up initial research and rework breakthroughs. Jeremy Thurgood <firxen@gmail.com> parents: 14 diff changeset	278 if breakthroughs:
10d3db1f1e08 Set up initial research and rework breakthroughs. Jeremy Thurgood <firxen@gmail.com> parents: 14 diff changeset	279 breakthrough = choice(breakthroughs)(1)
10d3db1f1e08 Set up initial research and rework breakthroughs. Jeremy Thurgood <firxen@gmail.com> parents: 14 diff changeset	280 self._gain_science(breakthrough)
10d3db1f1e08 Set up initial research and rework breakthroughs. Jeremy Thurgood <firxen@gmail.com> parents: 14 diff changeset	281 breakthroughs = [breakthrough]
10d3db1f1e08 Set up initial research and rework breakthroughs. Jeremy Thurgood <firxen@gmail.com> parents: 14 diff changeset	282 return breakthroughs
151 372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	283
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	284 def suggest_research(self):
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	285 """Suggest research areas to pursue.
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	286
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	287 Return value is a tuple of (bool, list), where the first element
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	288 indicates whether basic research might pay off and the second contains
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	289 Science classes that can be profitably pursued.
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	290 """
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	291 graph = ScienceGraph(self.all_science, self.science)
372d886f9e70 New suggest_research() method on Lab. Jeremy Thurgood <firxen@gmail.com> parents: 138 diff changeset	292 return graph.find_promising_areas()

Mercurial > sypikslang

annotate gamelib/lab.py @ 266:381fa22d217b