def _select_a_new_vcs_from_all_group( self, observations: Observations) -> actions.FunctionCall: if self.action_ids.select_unit() in observations.available_actions(): self.step = self.step + 1 action = self.actions.select_unit(self.scv_index_in_all_group) self.scv_index_in_all_group = self.scv_index_in_all_group + 1 return action
def _research_concussive_shells( self, observations: Observations) -> actions.FunctionCall: if self.action_ids.research_concussive_shells( ) in observations.available_actions(): self.step = self.step + 1 return self.actions.research_concussive_shells() return self.actions.no_op()
def execute(self, observations: Observations) -> actions.FunctionCall: if not self.scv_selected: unit_type = observations.screen().unit_type() unit_y, unit_x = ( unit_type == self.unit_type_ids.terran_scv()).nonzero() rand_unit_index = random.randint(0, len(unit_y) - 1) target = [unit_x[rand_unit_index], unit_y[rand_unit_index]] self.scv_selected = True return self.actions.select_point(target) elif not self.scv_moved and self.action_ids.move_minimap( ) in observations.available_actions(): unit_y, unit_x = self.other_bases_minimap_locations.pop(0) target = [unit_x, unit_y] self.scv_moved = True return self.actions.move_minimap(target) elif self.scv_moved and observations.player().idle_worker_count( ) > 0 and len(self.other_bases_minimap_locations) > 0: self.scv_moved = False return self.actions.select_idle_worker() elif self.infinite_scouting and len( self.other_bases_minimap_locations) == 0: self.other_bases_minimap_locations = self.base_location.other_unknown_bases_locations_on_minimap( ) elif not self.scv_back_to_base and len( self.other_bases_minimap_locations) == 0: unit_y, unit_x = self.base_location.base_location_on_minimap() target = [unit_x, unit_y] self.scv_back_to_base = True return self.actions.move_minimap(target) return self.actions.no_op()
def _research_combat_shield( self, observations: Observations) -> actions.FunctionCall: if self.action_ids.research_combat_shield( ) in observations.available_actions(): self.step = self.step + 1 return self.actions.research_combat_shield() return self.actions.no_op()
def execute(self, observations: Observations) -> actions.FunctionCall: if not self.building_built: if self.build_action_id() in observations.available_actions(): unit_y, unit_x = self.base_location.locate_command_center( observations.screen()) if unit_x.any(): target = self.base_location.transform_distance( int(unit_x.mean()), self.x_from_base, int(unit_y.mean()), self.y_from_base) self.building_built = True return self.build_action(target) elif not self.select_scv_order.done(observations): return self.select_scv_order.execute(observations) elif not self.building_rallied: if not self.building_selected: unit_type = observations.screen().unit_type() unit_y, unit_x = (unit_type == self.building_type()).nonzero() if unit_y.any(): target = [int(unit_x.mean()), int(unit_y.mean())] self.building_selected = True return self.actions.select_point(target) else: self.building_rallied = True if self.base_location.command_center_is_top_left(): target = [29, 21] else: target = [29, 46] return self.actions.rally_units_minimap(target) return self.actions.no_op()
def execute(self, observations: Observations) -> actions.FunctionCall: if self.done(observations): self._reset() elif not self.army_selected: if self.action_ids.select_army() in observations.available_actions( ): self.army_selected = True return self.actions.select_army() elif self.army_selected and self.action_ids.attack_minimap( ) in observations.available_actions(): self.push_ordered = True if self.base_location.command_center_is_top_left(): target = [39, 45] else: target = [21, 24] return self.actions.attack_minimap(target) return self.actions.no_op()
def execute(self, observations: Observations) -> actions.FunctionCall: if not self.select_scv_order.done(observations): return self.select_scv_order.execute(observations) elif self.action_ids.move_screen() in observations.available_actions(): unit_type = observations.screen().unit_type() unit_y, unit_x = ( unit_type == self.unit_type_ids.terran_refinery()).nonzero() if unit_y.any(): target = [int(unit_x.mean()), int(unit_y.mean())] self.scv_sent_to_refinery = True return self.actions.move_screen(target) return self.actions.no_op()
def execute(self, observations: Observations) -> actions.FunctionCall: if not self.supply_depot_built: if not self.select_scv_order.done(observations): return self.select_scv_order.execute(observations) elif self.action_ids.build_supply_depot( ) in observations.available_actions(): cc_y, cc_x = self.base_location.locate_command_center( observations.screen()) target = self.base_location.transform_distance( int(cc_x.mean()), self.x_from_base, int(cc_y.mean()), self.y_from_base) self.supply_depot_built = True return self.actions.build_supply_depot(target) return self.actions.no_op()
def send_scv_to_mineral( self, observations: Observations) -> actions.FunctionCall: if self.action_ids.harvest_gather() in observations.available_actions( ): unit_type = observations.screen().unit_type() unit_y, unit_x = (unit_type == self.unit_type_ids. neutral_mineral_field()).nonzero() if unit_y.any(): i = random.randint(0, len(unit_y) - 1) m_x = unit_x[i] m_y = unit_y[i] target = [int(m_x), int(m_y)] return self.actions.harvest_gather(target) return self.actions.no_op()
def execute(self, observations: Observations) -> actions.FunctionCall: if not self.builder_scv_selected: self.builder_scv_selected = True print("select builder") return SelectSCV(self.base_location).execute(observations) # https://itnext.io/how-to-locate-and-select-units-in-pysc2-2bb1c81f2ad3 elif not self.refinery_building and self.action_ids.build_refinery( ) in observations.available_actions(): unit_type = observations.screen().unit_type() vespene_y, vespene_x = (unit_type == self.unit_type_ids. neutral_vespene_geyser()).nonzero() vespene_geyser_count = int(math.ceil(len(vespene_y) / 97)) units = [] for i in range(0, len(vespene_y)): units.append((vespene_x[i], vespene_y[i])) kmeans = KMeans(vespene_geyser_count) kmeans.fit(units) vespene1_x = int(kmeans.cluster_centers_[0][0]) vespene1_y = int(kmeans.cluster_centers_[0][1]) self.refinery_target = [vespene1_x, vespene1_y] self.refinery_building = True print("refinery building") return self.actions.build_refinery(self.refinery_target) elif self.refinery_building and not self.refinery_selected: unit_type = observations.screen().unit_type() refinery_y, refinery_x = ( unit_type == self.unit_type_ids.terran_refinery()).nonzero() if refinery_y.any(): self.refinery_selected = True print("refinery selected") return self.actions.select_point(self.refinery_target) elif self.refinery_selected and not self.first_collector_scv_selected: if observations.single_select().is_built(): self.first_collector_scv_selected = True print("select first collector") return SelectSCV(self.base_location).execute(observations) elif self.first_collector_scv_selected and not self.first_collector_scv_sent: self.first_collector_scv_sent = True print("sent first collector") return self.actions.harvest_gather(self.refinery_target) elif self.first_collector_scv_sent and not self.second_collector_scv_selected: self.second_collector_scv_selected = True print("select second collector") return SelectSCV(self.base_location).execute(observations) elif self.second_collector_scv_selected and not self.second_collector_scv_sent: self.second_collector_scv_sent = True print("sent second collector") return self.actions.harvest_gather(self.refinery_target) return self.actions.no_op()
def execute(self, observations: Observations) -> actions.FunctionCall: if not self.command_center_selected: unit_type = observations.screen().unit_type() center_y, center_x = (unit_type == self.unit_type_ids. terran_command_center()).nonzero() center_x = round(center_x.mean()) center_y = round(center_y.mean()) target = [center_x, center_y] self.command_center_selected = True return self.actions.select_point(target) elif self.command_center_selected and self.action_ids.morph_orbital_command( ) in observations.available_actions(): self.orbital_command_built = True return self.actions.morph_orbital_command() return self.actions.no_op()
def _build_reactor(self, observations: Observations) -> actions.FunctionCall: if self.action_ids.build_reactor_barracks( ) in observations.available_actions(): self.step = self.step + 1 cc_y, cc_x = self.location.command_center_first_position() difference_from_cc = self.difference_from_command_center() target = self.location.transform_distance( round(cc_x.mean()), difference_from_cc[0], round(cc_y.mean()), difference_from_cc[1], ) return self.actions.build_reactor_barracks(target) return self.actions.no_op()
def attack_minimap(self, observations: Observations) -> actions.FunctionCall: do_it = True if not observations.single_select().empty() and observations.single_select().unit_type() == self.unit_type_ids.terran_scv(): do_it = False if not observations.multi_select().empty() and observations.multi_select().unit_type(0) == self.unit_type_ids.terran_scv(): do_it = False if do_it and self.action_ids.attack_minimap() in observations.available_actions(): x_offset = random.randint(-1, 1) y_offset = random.randint(-1, 1) target = self.location.transform_location(int(self.x) + (x_offset * 8), int(self.y) + (y_offset * 8)) return self.actions.attack_minimap(target) return self.actions.no_op()
def execute(self, observations: Observations) -> actions.FunctionCall: if self.done(observations): self._reset() elif self._train_action_id() in observations.available_actions(): self.already_trained = self.already_trained + 1 return self._train_action() elif not self.barracks_selected: unit_type = observations.screen().unit_type() unit_y, unit_x = ( unit_type == self.unit_type_ids.terran_barracks()).nonzero() if unit_y.any(): target = [int(unit_x.mean()), int(unit_y.mean())] self.barracks_selected = True return self.actions.select_point(target) return self.actions.no_op()
def _build_factory(self, observations: Observations) -> actions.FunctionCall: cc_y, cc_x = self.location.command_center_first_position() factories_count = BuildingCounter().factories_count(observations) if factories_count < self.max_factories and self.action_ids.build_factory( ) in observations.available_actions(): if cc_y.any(): current_count_to_difference_from_cc = BuildingPositionsFromCommandCenter( ).factories() target = self.location.transform_distance( round(cc_x.mean()), current_count_to_difference_from_cc[factories_count][0], round(cc_y.mean()), current_count_to_difference_from_cc[factories_count][1], ) return self.actions.build_factory(target) return self.actions.no_op()
def execute(self, observations: Observations) -> actions.FunctionCall: if not self.barracks_selected: unit_type = observations.screen().unit_type() unit_y, unit_x = ( unit_type == self.unit_type_ids.terran_barracks()).nonzero() target = [int(unit_x.mean()), int(unit_y.mean())] self.barracks_selected = True return self.actions.select_point(target) elif self.action_ids.build_techlab_barracks( ) in observations.available_actions(): self.tech_lab_built = True unit_type = observations.screen().unit_type() unit_y, unit_x = ( unit_type == self.unit_type_ids.terran_barracks()).nonzero() target = [int(unit_x.mean()), int(unit_y.mean())] return self.actions.build_techlab_barracks(target) return self.actions.no_op()
def send_selected_scv_group_to_refinery( self, location: Location, observations: Observations, refinery_id: int) -> actions.FunctionCall: if self.action_ids.harvest_gather() in observations.available_actions( ): if refinery_id == 1: difference_from_cc = BuildingPositionsFromCommandCenter( ).vespene_geysers()[0] else: difference_from_cc = BuildingPositionsFromCommandCenter( ).vespene_geysers()[1] cc_y, cc_x = location.command_center_first_position() target = location.transform_distance( round(cc_x.mean()), difference_from_cc[0], round(cc_y.mean()), difference_from_cc[1], ) #print("send collector " + str(refinery_id) + " to refinery " + str(target[0]) + " " + str(target[1])) return self.actions.harvest_gather(target) return self.actions.no_op()
def _build_refinery(self, observations: Observations) -> actions.FunctionCall: if self.action_ids.build_refinery() in observations.available_actions( ): if self.refinery_index == 1: difference_from_cc = BuildingPositionsFromCommandCenter( ).vespene_geysers()[0] else: difference_from_cc = BuildingPositionsFromCommandCenter( ).vespene_geysers()[1] cc_y, cc_x = self.location.command_center_first_position() target = self.location.transform_distance( round(cc_x.mean()), difference_from_cc[0], round(cc_y.mean()), difference_from_cc[1], ) #print( # "build refinery "+str(self.refinery_index) + " on "+str(target[0])+ " "+str(target[1]) # + " CC is "+ str(round(cc_x.mean())) + " " + str(round(cc_y.mean())) #) return self.actions.build_refinery(target) return self.actions.no_op()
def select_army(self, observations: Observations) -> actions.FunctionCall: if self.action_ids.select_army() in observations.available_actions(): return self.actions.select_army() return self.actions.no_op()
def train_marine(self, observations: Observations) -> actions.FunctionCall: if self.action_ids.train_marauder() in observations.available_actions( ): return self.actions.train_marauder() return self.actions.no_op()
def _train_scv(self, observations: Observations) -> actions.FunctionCall: if self.action_ids.train_scv() in observations.available_actions(): return self.actions.train_scv() return self.actions.no_op()
def executable(self, observations: Observations) -> bool: return self.action_ids.select_army() in observations.available_actions( )