code stringlengths 3 6.57k |
|---|
send_email(self, msg: str, strategy: StrategyTemplate = None) |
sync_strategy_data(self, strategy: StrategyTemplate) |
put_strategy_event(self, strategy: StrategyTemplate) |
output(self, msg) |
print(f"{datetime.now() |
get_all_trades(self) |
list(self.trades.values() |
get_all_orders(self) |
list(self.limit_orders.values() |
get_all_daily_results(self) |
list(self.daily_results.values() |
__init__(self, result_date: date, close_price: float) |
add_trade(self, trade: TradeData) |
self.trades.append(trade) |
len(self.trades) |
update_close_price(self, close_price: float) |
__init__(self, result_date: date, close_prices: Dict[str, float]) |
close_prices.items() |
ContractDailyResult(result_date, close_price) |
add_trade(self, trade: TradeData) |
contract_result.add_trade(trade) |
self.contract_results.items() |
pre_closes.get(vt_symbol, 0) |
start_poses.get(vt_symbol, 0) |
update_close_prices(self, close_prices: Dict[str, float]) |
close_prices.items() |
self.contract_results.get(vt_symbol, None) |
contract_result.update_close_price(close_price) |
lru_cache(maxsize=999) |
extract_vt_symbol(vt_symbol) |
contributors (see CONTRIBUTORS.md) |
Gen1Sources(Sources) |
Gen2Sources(Sources) |
Gen1Target(Target) |
Gen2Target(Target) |
Gen1Request(GenerateSourcesRequest) |
Gen2Request(GenerateSourcesRequest) |
gen1(_: Gen1Request) |
Get(Snapshot, CreateDigest([FileContent("assets/README.md", b"Hello!") |
GeneratedSources(result) |
gen2(_: Gen2Request) |
Get(Snapshot, CreateDigest([FileContent("src/haskell/app.hs", b"10 * 4") |
GeneratedSources(result) |
rule_runner() |
write_codegen_rules() |
UnionRule(GenerateSourcesRequest, Gen1Request) |
UnionRule(GenerateSourcesRequest, Gen2Request) |
distdir.rules() |
test_no_codegen_targets(rule_runner: RuleRunner, caplog) |
rule_runner.run_goal_rule(ExportCodegen) |
len(caplog.records) |
test_export_codegen(rule_runner: RuleRunner) |
rule_runner.add_to_build_file("", "gen1(name='gen1') |
ngen2(name='gen2') |
rule_runner.run_goal_rule(ExportCodegen, args=["::"]) |
Path(rule_runner.build_root, "dist", "codegen") |
assert (parent_dir / "assets" / "README.md") |
read_text() |
assert (parent_dir / "src" / "haskell" / "app.hs") |
read_text() |
RecommenderSVD(Recommender) |
__init__(self, recommendation_dataset: RecommendationDataSet) |
super(RecommenderSVD, self) |
__init__(recommendation_dataset.movies) |
SVD() |
fit(self, dataset) |
self.algorithm.fit(dataset) |
test(self, test_set) |
self.algorithm.test(test_set) |
get_recommendation(self, watched, k=20) |
self.recommendation_dataset.get_dataset_with_extended_user(watched) |
full_dataset.to_inner_uid(new_user_id) |
self.algorithm.fit(full_dataset) |
full_dataset.to_inner_iid(key) |
watched.items() |
self.algorithm.predict(new_user_id, full_dataset.to_raw_iid(i) |
range(0, full_dataset.n_items) |
get_top_n(test_items, n=k, minimum_rating=1.0) |
self.movies.get_movie_by_movie_ids(topn_items) |
Movies() |
RecommendationDataSet(movies=movies) |
RecommenderSVD(recommendation_dataset) |
len('movies_recommender.') |
recommender.fit(recommendation_dataset.full_dataset) |
Merger(filmweb=Filmweb() |
get_watched(get_moviescore_df(merger, recommender.movies,'arek') |
self.get_recommendation(watched) |
Maintainer(Rpsl) |
__init__(self) |
list() |
list() |
list() |
list() |
super() |
__init__() |
html(self, heading_level=1) |
super() |
get_lookup_value(obj, field) |
reduce(lambda i, f: getattr(i, f) |
field.split(LOOKUP_SEP) |
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