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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
213ea17a6e3e233293f1b25f2c7e3c486ad0932a | 28,781 | py | Python | matilda/fundamental_analysis/financial_statements/balance_sheet.py | AlainDaccache/Quantropy | 6cfa06ed2b764471382ebf94d40af867f10433bb | [
"MIT"
] | 45 | 2021-01-28T04:12:21.000Z | 2022-02-24T13:15:50.000Z | matilda/fundamental_analysis/financial_statements/balance_sheet.py | AlainDaccache/Quantropy | 6cfa06ed2b764471382ebf94d40af867f10433bb | [
"MIT"
] | 32 | 2021-03-02T18:45:16.000Z | 2022-03-12T00:53:10.000Z | matilda/fundamental_analysis/financial_statements/balance_sheet.py | AlainDaccache/Quantropy | 6cfa06ed2b764471382ebf94d40af867f10433bb | [
"MIT"
] | 10 | 2020-12-25T15:02:40.000Z | 2021-12-30T11:40:15.000Z | """
Balance Sheet Entries
"""
from datetime import timedelta
from matilda import config
from matilda.data_pipeline.db_crud import read_financial_statement_entry, companies_in_classification
def cash_and_cash_equivalents(stock, date=None, lookback_period: timedelta = timedelta(days=0), period: str = 'Q'):
"""
**Cash and Cash Equivalents** is the amount of money on deposit in the bank. It is composed of
* Short-term investments:sfsf
* Cash: fh;ohif
:param stock: ticker(s) in question. Can be a string (i.e. 'AAPL') or a list of strings (i.e. ['AAPL', 'BA']).
:param date: Can be a datetime (i.e. datetime(2019, 1, 1)) or list of datetimes. The most recent date of reporting from that date will be used. By default, date=datetime.now().
:param lookback_period: lookback from date (used to compare against previous year or quarter etc.) i.e. timedelta(days=90).
:param period: 'FY' for fiscal year, 'Q' for quarter, 'YTD' for calendar year to date, 'TTM' for trailing twelve months.
:return:
"""
return read_financial_statement_entry(financial_statement='BalanceSheet', stock=stock,
entry_name=['Assets', 'CurrentAssets', 'Cash and Cash Equivalents'],
date=date, lookback_period=lookback_period, period=period)
def current_marketable_securities(stock, date=None, lookback_period: timedelta = timedelta(days=0), period: str = 'Q'):
"""
Hello Paola!
:param stock: ticker(s) in question. Can be a string (i.e. 'AAPL') or a list of strings (i.e. ['AAPL', 'BA']).
:param date: Can be a datetime (i.e. datetime(2019, 1, 1)) or list of datetimes. The most recent date of reporting from that date will be used. By default, date=datetime.now().
:param lookback_period: lookback from date (used to compare against previous year or quarter etc.) i.e. timedelta(days=90).
:param period: 'FY' for fiscal year, 'Q' for quarter, 'YTD' for calendar year to date, 'TTM' for trailing twelve months.
:return:
"""
return read_financial_statement_entry(financial_statement='BalanceSheet', stock=stock,
entry_name=['Assets', 'CurrentAssets', 'CashAndShortTermInvestments',
'MarketableSecurities'],
date=date, lookback_period=lookback_period, period=period)
def net_accounts_receivable(stock, date=None, lookback_period: timedelta = timedelta(days=0), period: str = 'Q'):
"""
Invoices
:param stock:
:param date:
:param lookback_period:
:param period:
:return:
"""
return read_financial_statement_entry(financial_statement='BalanceSheet', stock=stock,
entry_name=['Assets', 'CurrentAssets', 'AccountsReceivable',
'NetAccountsReceivable'],
date=date, lookback_period=lookback_period, period=period)
def allowances_for_doubtful_accounts(stock, date=None, lookback_period: timedelta = timedelta(days=0),
period: str = 'Q'):
return read_financial_statement_entry(financial_statement='BalanceSheet', stock=stock,
entry_name=['Assets', 'CurrentAssets', 'AccountsReceivable',
'AllowanceForDoubtfulAccounts'],
date=date, lookback_period=lookback_period, period=period)
def credit_sales(stock, date=None, lookback_period: timedelta = timedelta(days=0), period: str = 'Q'):
pass
def credit_purchases(stock, date=None, lookback_period: timedelta = timedelta(days=0), period: str = 'Q'):
pass
def current_prepaid_expenses(stock, date=None,
lookback_period: timedelta = timedelta(days=0), period: str = 'Q'):
return read_financial_statement_entry(financial_statement='BalanceSheet', stock=stock,
entry_name=['Assets', 'CurrentAssets', 'PrepaidExpense'],
date=date, lookback_period=lookback_period, period=period)
def net_inventory(stock, date=None, lookback_period: timedelta = timedelta(days=0), period: str = 'Q'):
return read_financial_statement_entry(financial_statement='BalanceSheet', stock=stock,
entry_name=['Assets', 'CurrentAssets', 'InventoryNet'],
date=date, lookback_period=lookback_period, period=period)
def current_income_taxes_receivable(stock, date=None, lookback_period: timedelta = timedelta(days=0),
period: str = 'Q'):
return read_financial_statement_entry(financial_statement='BalanceSheet', stock=stock,
entry_name=['Assets', 'CurrentAssets', 'IncomeTaxesReceivable'],
date=date, lookback_period=lookback_period, period=period)
def assets_held_for_sale(stock, date=None, lookback_period: timedelta = timedelta(days=0), period: str = 'Q'):
return read_financial_statement_entry(financial_statement='BalanceSheet', stock=stock,
entry_name=['Assets', 'CurrentAssets', 'Assets Held-for-sale'],
date=date, lookback_period=lookback_period, period=period)
def current_deferred_tax_assets(stock, date=None, lookback_period: timedelta = timedelta(days=0), period: str = 'Q'):
return read_financial_statement_entry(financial_statement='BalanceSheet', stock=stock,
entry_name=['Assets', 'CurrentAssets', 'DeferredTaxAssets'],
date=date, lookback_period=lookback_period, period=period)
def other_current_assets(stock, date=None, lookback_period: timedelta = timedelta(days=0), period: str = 'Q'):
return read_financial_statement_entry(financial_statement='BalanceSheet', stock=stock,
entry_name=['Assets', 'CurrentAssets', 'Other Assets, Current'],
date=date, lookback_period=lookback_period, period=period)
def total_current_assets(stock, date=None, lookback_period: timedelta = timedelta(days=0), period: str = 'Q'):
return read_financial_statement_entry(financial_statement='BalanceSheet', stock=stock,
entry_name=['Assets', 'CurrentAssets', 'TotalCurrentAssets'],
date=date, lookback_period=lookback_period, period=period)
def non_current_marketable_securities(stock, date=None, lookback_period: timedelta = timedelta(days=0),
period: str = 'Q'):
return read_financial_statement_entry(financial_statement='BalanceSheet', stock=stock,
entry_name=['Assets', 'NonCurrentAssets', 'MarketableSecurities'],
date=date, lookback_period=lookback_period, period=period)
def gross_property_plant_and_equipment(stock, date=None, lookback_period: timedelta = timedelta(days=0),
period: str = 'Q'):
return read_financial_statement_entry(financial_statement='BalanceSheet', stock=stock,
entry_name=['Assets', 'NonCurrentAssets', 'PropertyPlantAndEquipment',
'GrossPropertyPlantAndEquipment'],
date=date, lookback_period=lookback_period, period=period)
def accumulated_depreciation_amortization(stock, date=None, lookback_period: timedelta = timedelta(days=0),
period: str = 'Q'):
return read_financial_statement_entry(financial_statement='BalanceSheet', stock=stock,
entry_name=['Assets', 'NonCurrentAssets', 'PropertyPlantAndEquipment',
'AccumulatedDepreciationAndAmortization'],
date=date, lookback_period=lookback_period, period=period)
def net_property_plant_equipment(stock, date=None, lookback_period: timedelta = timedelta(days=0), period: str = 'Q'):
return read_financial_statement_entry(financial_statement='BalanceSheet', stock=stock,
entry_name=['Assets', 'NonCurrentAssets', 'PropertyPlantAndEquipment',
'NetPropertyPlantAndEquipment'],
date=date, lookback_period=lookback_period, period=period)
def operating_lease_right_of_use_assets(stock, date=None, lookback_period: timedelta = timedelta(days=0),
period: str = 'Q'):
return read_financial_statement_entry(financial_statement='BalanceSheet', stock=stock,
entry_name=['Assets', 'NonCurrentAssets', 'OperatingLeaseRightOfUseAssets'],
date=date, lookback_period=lookback_period, period=period)
def non_current_deferred_tax_assets(stock, date=None, lookback_period: timedelta = timedelta(days=0),
period: str = 'Q'):
return read_financial_statement_entry(financial_statement='BalanceSheet', stock=stock,
entry_name=['Assets', 'NonCurrentAssets', 'DeferredTaxAssets'],
date=date, lookback_period=lookback_period, period=period)
def goodwill(stock, date=None, lookback_period: timedelta = timedelta(days=0), period: str = 'Q'):
return read_financial_statement_entry(financial_statement='BalanceSheet', stock=stock,
entry_name=['Assets', 'NonCurrentAssets', 'IntangibleAssets', 'Goodwill'],
date=date, lookback_period=lookback_period, period=period)
def net_intangible_assets(stock, date=None, lookback_period: timedelta = timedelta(days=0), period: str = 'Q'):
return read_financial_statement_entry(financial_statement='BalanceSheet', stock=stock,
entry_name=['Assets', 'NonCurrentAssets', 'IntangibleAssets',
'NetIntangibleAssetsExcludingGoodwill'],
date=date, lookback_period=lookback_period, period=period)
def total_intangible_assets(stock, date=None, lookback_period: timedelta = timedelta(days=0), period: str = 'Q'):
return read_financial_statement_entry(financial_statement='BalanceSheet', stock=stock,
entry_name=['Assets', 'NonCurrentAssets', 'IntangibleAssets',
'TotalIntangibleAssets'],
date=date, lookback_period=lookback_period, period=period)
def other_non_current_assets(stock, date=None, lookback_period: timedelta = timedelta(days=0), period: str = 'Q'):
return read_financial_statement_entry(financial_statement='BalanceSheet', stock=stock,
entry_name=['Assets', 'NonCurrentAssets', 'OtherNonCurrentAssets'],
date=date, lookback_period=lookback_period, period=period)
def total_non_current_assets(stock, date=None, lookback_period: timedelta = timedelta(days=0), period: str = 'Q'):
return read_financial_statement_entry(financial_statement='BalanceSheet', stock=stock,
entry_name=['Assets', 'NonCurrentAssets', 'TotalNonCurrentAssets'],
date=date, lookback_period=lookback_period, period=period)
def total_assets(stock, date=None, lookback_period: timedelta = timedelta(days=0), period: str = 'Q'):
return read_financial_statement_entry(financial_statement='BalanceSheet', stock=stock,
entry_name=['Assets', 'TotalAssets'],
date=date, lookback_period=lookback_period, period=period)
def long_term_debt_current_maturities(stock, date=None, lookback_period: timedelta = timedelta(days=0),
period: str = 'Q'):
return read_financial_statement_entry(financial_statement='BalanceSheet', stock=stock,
entry_name=['LiabilitiesAndShareholdersEquity', 'Liabilities',
'CurrentLiabilities', 'LongTermDebtCurrentMaturities'],
date=date, lookback_period=lookback_period, period=period)
def accounts_payable(stock, date=None, lookback_period: timedelta = timedelta(days=0), period: str = 'Q'):
return read_financial_statement_entry(financial_statement='BalanceSheet', stock=stock,
entry_name=['LiabilitiesAndShareholdersEquity', 'Liabilities',
'CurrentLiabilities', 'AccountsPayable'],
date=date, lookback_period=lookback_period, period=period)
def current_deferred_revenues(stock, date=None, lookback_period: timedelta = timedelta(days=0), period: str = 'Q'):
return read_financial_statement_entry(financial_statement='BalanceSheet', stock=stock,
entry_name=['LiabilitiesAndShareholdersEquity', 'Liabilities',
'CurrentLiabilities', 'DeferredRevenue'],
date=date, lookback_period=lookback_period, period=period)
def current_operating_lease_liabilities(stock, date=None, lookback_period: timedelta = timedelta(days=0),
period: str = 'Q'):
return read_financial_statement_entry(financial_statement='BalanceSheet', stock=stock,
entry_name=['LiabilitiesAndShareholdersEquity', 'Liabilities',
'CurrentLiabilities', 'OperatingLeaseLiability'],
date=date, lookback_period=lookback_period, period=period)
def current_employee_related_liabilities(stock, date=None, lookback_period: timedelta = timedelta(days=0),
period: str = 'Q'):
return read_financial_statement_entry(financial_statement='BalanceSheet', stock=stock,
entry_name=['LiabilitiesAndShareholdersEquity', 'Liabilities',
'CurrentLiabilities', 'EmployeeRelatedLiabilities'],
date=date, lookback_period=lookback_period, period=period)
def current_accrued_income_taxes_liabilities(stock, date=None, lookback_period: timedelta = timedelta(days=0),
period: str = 'Q'):
return read_financial_statement_entry(financial_statement='BalanceSheet', stock=stock,
entry_name=['LiabilitiesAndShareholdersEquity', 'Liabilities',
'CurrentLiabilities', 'AccruedIncomeTaxes'],
date=date, lookback_period=lookback_period, period=period)
def current_income_taxes_payable(stock, date=None, lookback_period: timedelta = timedelta(days=0),
period: str = 'Q'):
return read_financial_statement_entry(financial_statement='BalanceSheet', stock=stock,
entry_name=['LiabilitiesAndShareholdersEquity', 'Liabilities',
'CurrentLiabilities', 'IncomeTaxesPayable'],
date=date, lookback_period=lookback_period, period=period)
def current_accrued_liabilities(stock, date=None, lookback_period: timedelta = timedelta(days=0), period: str = 'Q'):
return read_financial_statement_entry(financial_statement='BalanceSheet', stock=stock,
entry_name=['LiabilitiesAndShareholdersEquity', 'Liabilities',
'CurrentLiabilities', 'AccruedLiabilities'],
date=date, lookback_period=lookback_period, period=period)
def other_current_liabilities(stock, date=None, lookback_period: timedelta = timedelta(days=0),
period: str = 'Q'):
return read_financial_statement_entry(financial_statement='BalanceSheet', stock=stock,
entry_name=['LiabilitiesAndShareholdersEquity', 'Liabilities',
'CurrentLiabilities', 'OtherCurrentLiabilities'],
date=date, lookback_period=lookback_period, period=period)
def total_current_liabilities(stock, date=None, lookback_period: timedelta = timedelta(days=0), period: str = 'Q'):
return read_financial_statement_entry(financial_statement='BalanceSheet', stock=stock,
entry_name=['LiabilitiesAndShareholdersEquity', 'Liabilities',
'CurrentLiabilities', 'TotalCurrentLiabilities'],
date=date, lookback_period=lookback_period, period=period)
def long_term_debt_excluding_current_portion(stock, date=None, lookback_period: timedelta = timedelta(days=0),
period: str = 'Q'):
return read_financial_statement_entry(financial_statement='BalanceSheet', stock=stock,
entry_name=['LiabilitiesAndShareholdersEquity', 'Liabilities',
'NonCurrentLiabilities', 'LongTermDebtNonCurrentMaturities'],
date=date, lookback_period=lookback_period, period=period)
def total_long_term_debt(stock, date=None, lookback_period: timedelta = timedelta(days=0), period: str = 'Q'):
return long_term_debt_current_maturities(stock=stock, date=date, lookback_period=lookback_period, period=period) + \
long_term_debt_excluding_current_portion(stock=stock, date=date, lookback_period=lookback_period,
period=period)
def defined_benefit_plan_non_current_liabilities(stock, date=None, lookback_period: timedelta = timedelta(days=0),
period: str = 'Q'):
return read_financial_statement_entry(financial_statement='BalanceSheet', stock=stock,
entry_name=['LiabilitiesAndShareholdersEquity', 'Liabilities',
'NonCurrentLiabilities', 'DefinedBenefitPlan'],
date=date, lookback_period=lookback_period, period=period)
def accrued_income_taxes_non_current_liabilities(stock, date=None, lookback_period: timedelta = timedelta(days=0),
period: str = 'Q'):
return read_financial_statement_entry(financial_statement='BalanceSheet', stock=stock,
entry_name=['LiabilitiesAndShareholdersEquity', 'Liabilities',
'NonCurrentLiabilities', 'AccruedIncomeTaxes'],
date=date, lookback_period=lookback_period, period=period)
def deferred_revenue_non_current_liabilities(stock, date=None, lookback_period: timedelta = timedelta(days=0),
period: str = 'Q'):
"""
Also known as *long-term unearned revenue*
:param stock:
:param date:
:param lookback_period:
:param period:
:return:
"""
return read_financial_statement_entry(financial_statement='BalanceSheet', stock=stock,
entry_name=['LiabilitiesAndShareholdersEquity', 'Liabilities',
'NonCurrentLiabilities', 'DeferredRevenue'],
date=date, lookback_period=lookback_period, period=period)
def other_non_current_liabilities(stock, date=None, lookback_period: timedelta = timedelta(days=0), period: str = 'Q'):
return read_financial_statement_entry(financial_statement='BalanceSheet', stock=stock,
entry_name=['LiabilitiesAndShareholdersEquity', 'Liabilities',
'NonCurrentLiabilities', 'OtherLiabilitiesNonCurrent'],
date=date, lookback_period=lookback_period, period=period)
def total_non_current_liabilities(stock, date=None, lookback_period: timedelta = timedelta(days=0), period: str = 'Q'):
return read_financial_statement_entry(financial_statement='BalanceSheet', stock=stock,
entry_name=['LiabilitiesAndShareholdersEquity', 'Liabilities',
'NonCurrentLiabilities', 'TotalNonCurrentLiabilities'],
date=date, lookback_period=lookback_period, period=period)
def total_liabilities(stock, date=None, lookback_period: timedelta = timedelta(days=0), period: str = 'Q'):
return read_financial_statement_entry(financial_statement='BalanceSheet', stock=stock,
entry_name=['LiabilitiesAndShareholdersEquity', 'Liabilities',
'TotalLiabilities'],
date=date, lookback_period=lookback_period, period=period)
def preferred_stock_value(stock, date=None, lookback_period: timedelta = timedelta(days=0), period: str = 'Q'):
return read_financial_statement_entry(financial_statement='BalanceSheet', stock=stock,
entry_name=['LiabilitiesAndShareholdersEquity',
'ShareholdersEquity', 'PreferredStockValueIssued'],
date=date, lookback_period=lookback_period, period=period)
def common_stock_value_issued(stock, date=None, lookback_period: timedelta = timedelta(days=0), period: str = 'Q'):
return read_financial_statement_entry(financial_statement='BalanceSheet', stock=stock,
entry_name=['LiabilitiesAndShareholdersEquity', 'ShareholdersEquity',
'CommonStockAndAdditionalPaidInCapital',
'CommonStockValueIssued'],
date=date, lookback_period=lookback_period, period=period)
def additional_paid_in_capital(stock, date=None, lookback_period: timedelta = timedelta(days=0), period: str = 'Q'):
return read_financial_statement_entry(financial_statement='BalanceSheet', stock=stock,
entry_name=['LiabilitiesAndShareholdersEquity', 'ShareholdersEquity',
'CommonStockAndAdditionalPaidInCapital',
'AdditionalPaidInCapital'],
date=date, lookback_period=lookback_period, period=period)
def common_stocks_including_additional_paid_in_capital(stock, date=None, lookback_period: timedelta = timedelta(days=0),
period: str = 'Q'):
return read_financial_statement_entry(financial_statement='BalanceSheet', stock=stock,
entry_name=['LiabilitiesAndShareholdersEquity', 'ShareholdersEquity',
'CommonStockAndAdditionalPaidInCapital',
'CommonStocksIncludingAdditionalPaidInCapital'],
date=date, lookback_period=lookback_period, period=period)
def retained_earnings(stock, date=None, lookback_period: timedelta = timedelta(days=0), period: str = 'Q'):
return read_financial_statement_entry(financial_statement='BalanceSheet', stock=stock,
entry_name=['LiabilitiesAndShareholdersEquity',
'ShareholdersEquity', 'RetainedEarningsAccumulatedDeficit'],
date=date, lookback_period=lookback_period, period=period)
def accumulated_other_comprehensive_income(stock, date=None, lookback_period: timedelta = timedelta(days=0),
period: str = 'Q'):
return read_financial_statement_entry(financial_statement='BalanceSheet', stock=stock,
entry_name=['LiabilitiesAndShareholdersEquity', 'ShareholdersEquity',
'AccumulatedOtherComprehensiveIncomeLoss'],
date=date, lookback_period=lookback_period, period=period)
def minority_interest(stock, date=None, lookback_period: timedelta = timedelta(days=0), period: str = 'Q'):
return read_financial_statement_entry(financial_statement='BalanceSheet', stock=stock,
entry_name=['LiabilitiesAndShareholdersEquity', 'ShareholdersEquity',
'MinorityInterest'],
date=date, lookback_period=lookback_period, period=period)
def total_shares_outstanding(stock, diluted_shares: bool = False, date=None,
lookback_period: timedelta = timedelta(days=0), period: str = 'Q'):
"""
:param stock:
:param diluted_shares: Share dilution is when a company issues additional stock, reducing the ownership proportion
of a current shareholder. Shares can be diluted through a conversion by holders of optionable securities, secondary
offerings to raise additional capital, or offering new shares in exchange for acquisitions or services.
:param date:
:param lookback_period:
:param period:
:return:
"""
entry = ['LiabilitiesAndShareholdersEquity', 'ShareholdersEquity', 'CommonStockAndAdditionalPaidInCapital',
'WeightedAverageNumberOfSharesOutstandingDiluted'] if diluted_shares \
else ['LiabilitiesAndShareholdersEquity', 'ShareholdersEquity', 'CommonStockAndAdditionalPaidInCapital',
'WeightedAverageNumberOfSharesOutstandingBasic']
return read_financial_statement_entry(financial_statement='BalanceSheet', stock=stock, entry_name=entry, date=date,
lookback_period=lookback_period, period=period)
def total_shareholders_equity(stock, date=None, lookback_period: timedelta = timedelta(days=0), period: str = 'Q'):
# return try_multiple_entries(stock=stock, date=date, lookback_period=lookback_period, period=period,
# statement='BalanceSheet',
# entries=[['LiabilitiesAndShareholdersEquity',
# 'ShareholdersEquity',
# 'Stockholders\' Equity, Including Portion Attributable to Noncontrolling Interest'],
# ['LiabilitiesAndShareholdersEquity',
# 'ShareholdersEquity',
# 'Stockholders\' Equity Attributable to Parent']
# ])
return read_financial_statement_entry(financial_statement='BalanceSheet', stock=stock,
entry_name=['LiabilitiesAndShareholdersEquity', 'ShareholdersEquity',
'StockholdersEquityAttributableToParent'],
date=date, lookback_period=lookback_period, period=period)
| 65.710046 | 180 | 0.594663 | 2,441 | 28,781 | 6.780008 | 0.106104 | 0.136193 | 0.071782 | 0.069124 | 0.840363 | 0.840363 | 0.837583 | 0.834079 | 0.828459 | 0.797462 | 0 | 0.003474 | 0.319829 | 28,781 | 437 | 181 | 65.860412 | 0.841949 | 0.089087 | 0 | 0.576779 | 0 | 0 | 0.161315 | 0.080638 | 0 | 0 | 0 | 0 | 0 | 1 | 0.194757 | false | 0.007491 | 0.011236 | 0.168539 | 0.393258 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 7 |
dce2ac3d4ddfa9718b7dea878b0f9a78e99071f5 | 147 | py | Python | tests/test_router.py | SamuelHornsey/aficionado | 27654028ede3d719b091dd61f5c8d252f631a316 | [
"MIT"
] | 1 | 2019-11-27T21:58:10.000Z | 2019-11-27T21:58:10.000Z | tests/test_router.py | SamuelHornsey/aficionado | 27654028ede3d719b091dd61f5c8d252f631a316 | [
"MIT"
] | null | null | null | tests/test_router.py | SamuelHornsey/aficionado | 27654028ede3d719b091dd61f5c8d252f631a316 | [
"MIT"
] | null | null | null | from aficionado.router import Router
def test_router ():
pass
def test_add ():
pass
def test_find_route ():
pass
def not_found ():
pass | 11.307692 | 36 | 0.70068 | 22 | 147 | 4.454545 | 0.545455 | 0.214286 | 0.22449 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.210884 | 147 | 13 | 37 | 11.307692 | 0.844828 | 0 | 0 | 0.444444 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.444444 | true | 0.444444 | 0.111111 | 0 | 0.555556 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 7 |
dce79fc6adeeee504333b68f1ed48f66b16cb718 | 33,852 | py | Python | test_autoastro/unit/test_dimensions.py | woodyZootopia/PyAutoAstro | 6500b9746b3e73c3f3129fcbaa3a0419bb400915 | [
"MIT"
] | null | null | null | test_autoastro/unit/test_dimensions.py | woodyZootopia/PyAutoAstro | 6500b9746b3e73c3f3129fcbaa3a0419bb400915 | [
"MIT"
] | null | null | null | test_autoastro/unit/test_dimensions.py | woodyZootopia/PyAutoAstro | 6500b9746b3e73c3f3129fcbaa3a0419bb400915 | [
"MIT"
] | null | null | null | from autoastro import exc
import pytest
import autoastro as aast
from test_autoastro.mock import mock_cosmology
class TestLength:
def test__conversions_from_arcsec_to_kpc_and_back__errors_raised_if_no_kpc_per_arcsec(
self
):
unit_arcsec = aast.dim.Length(value=2.0)
assert unit_arcsec == 2.0
assert unit_arcsec.unit_length == "arcsec"
unit_arcsec = unit_arcsec.convert(unit_length="arcsec")
assert unit_arcsec == 2.0
assert unit_arcsec.unit == "arcsec"
unit_kpc = unit_arcsec.convert(unit_length="kpc", kpc_per_arcsec=2.0)
assert unit_kpc == 4.0
assert unit_kpc.unit == "kpc"
unit_kpc = unit_kpc.convert(unit_length="kpc")
assert unit_kpc == 4.0
assert unit_kpc.unit == "kpc"
unit_arcsec = unit_kpc.convert(unit_length="arcsec", kpc_per_arcsec=2.0)
assert unit_arcsec == 2.0
assert unit_arcsec.unit == "arcsec"
with pytest.raises(exc.UnitsException):
unit_arcsec.convert(unit_length="kpc")
unit_kpc.convert(unit_length="arcsec")
unit_arcsec.convert(unit_length="lol")
class TestLuminosity:
def test__conversions_from_eps_and_counts_and_back__errors_raised_if_no_exposure_time(
self
):
unit_eps = aast.dim.Luminosity(value=2.0)
assert unit_eps == 2.0
assert unit_eps.unit_luminosity == "eps"
unit_eps = unit_eps.convert(unit_luminosity="eps")
assert unit_eps == 2.0
assert unit_eps.unit == "eps"
unit_counts = unit_eps.convert(unit_luminosity="counts", exposure_time=2.0)
assert unit_counts == 4.0
assert unit_counts.unit == "counts"
unit_counts = unit_counts.convert(unit_luminosity="counts")
assert unit_counts == 4.0
assert unit_counts.unit == "counts"
unit_eps = unit_counts.convert(unit_luminosity="eps", exposure_time=2.0)
assert unit_eps == 2.0
assert unit_eps.unit == "eps"
with pytest.raises(exc.UnitsException):
unit_eps.convert(unit_luminosity="counts")
unit_counts.convert(unit_luminosity="eps")
unit_eps.convert(unit_luminosity="lol")
class TestMass:
def test__conversions_from_angular_and_sol_mass_and_back__errors_raised_if_no_exposure_time(
self
):
mass_angular = aast.dim.Mass(value=2.0)
assert mass_angular == 2.0
assert mass_angular.unit_mass == "angular"
# angular -> angular, stays 2.0
mass_angular = mass_angular.convert(unit_mass="angular")
assert mass_angular == 2.0
assert mass_angular.unit == "angular"
# angular -> solMass, converts to 2.0 * 2.0 = 4.0
mas_sol_mass = mass_angular.convert(
unit_mass="solMass", critical_surface_density=2.0
)
assert mas_sol_mass == 4.0
assert mas_sol_mass.unit == "solMass"
# solMass -> solMass, stays 4.0
mas_sol_mass = mas_sol_mass.convert(unit_mass="solMass")
assert mas_sol_mass == 4.0
assert mas_sol_mass.unit == "solMass"
# solMass -> angular, stays 4.0
mass_angular = mas_sol_mass.convert(
unit_mass="angular", critical_surface_density=2.0
)
assert mass_angular == 2.0
assert mass_angular.unit == "angular"
with pytest.raises(exc.UnitsException):
mass_angular.convert(unit_mass="solMass")
mas_sol_mass.convert(unit_mass="angular")
mass_angular.convert(unit_mass="lol")
class TestMassOverLuminosity:
def test__conversions_from_angular_and_sol_mass_and_back__errors_raised_if_critical_mass_density(
self
):
unit_angular = aast.dim.MassOverLuminosity(value=2.0)
assert unit_angular == 2.0
assert unit_angular.unit == "angular / eps"
unit_angular = unit_angular.convert(unit_mass="angular", unit_luminosity="eps")
assert unit_angular == 2.0
assert unit_angular.unit == "angular / eps"
unit_sol_mass = unit_angular.convert(
unit_mass="solMass", critical_surface_density=2.0, unit_luminosity="eps"
)
assert unit_sol_mass == 4.0
assert unit_sol_mass.unit == "solMass / eps"
unit_sol_mass = unit_sol_mass.convert(
unit_mass="solMass", unit_luminosity="eps"
)
assert unit_sol_mass == 4.0
assert unit_sol_mass.unit == "solMass / eps"
unit_angular = unit_sol_mass.convert(
unit_mass="angular", critical_surface_density=2.0, unit_luminosity="eps"
)
assert unit_angular == 2.0
assert unit_angular.unit == "angular / eps"
with pytest.raises(exc.UnitsException):
unit_angular.convert(unit_mass="solMass", unit_luminosity="eps")
unit_sol_mass.convert(unit_mass="angular", unit_luminosity="eps")
unit_angular.convert(unit_mass="lol", unit_luminosity="eps")
def test__conversions_from_eps_and_counts_and_back__errors_raised_if_no_exposure_time(
self
):
unit_eps = aast.dim.MassOverLuminosity(value=2.0)
assert unit_eps == 2.0
assert unit_eps.unit == "angular / eps"
unit_eps = unit_eps.convert(unit_mass="angular", unit_luminosity="eps")
assert unit_eps == 2.0
assert unit_eps.unit == "angular / eps"
unit_counts = unit_eps.convert(
unit_mass="angular", exposure_time=2.0, unit_luminosity="counts"
)
assert unit_counts == 1.0
assert unit_counts.unit == "angular / counts"
unit_counts = unit_counts.convert(unit_mass="angular", unit_luminosity="counts")
assert unit_counts == 1.0
assert unit_counts.unit == "angular / counts"
unit_eps = unit_counts.convert(
unit_mass="angular", exposure_time=2.0, unit_luminosity="eps"
)
assert unit_eps == 2.0
assert unit_eps.unit == "angular / eps"
with pytest.raises(exc.UnitsException):
unit_eps.convert(unit_mass="angular", unit_luminosity="eps")
unit_counts.convert(unit_mass="angular", unit_luminosity="eps")
unit_eps.convert(unit_mass="lol", unit_luminosity="eps")
class TestMassOverLength2:
def test__conversions_from_angular_and_sol_mass_and_back__errors_raised_if_critical_mass_density(
self
):
unit_angular = aast.dim.MassOverLength2(value=2.0)
assert unit_angular == 2.0
assert unit_angular.unit == "angular / arcsec^2"
unit_angular = unit_angular.convert(unit_mass="angular", unit_length="arcsec")
assert unit_angular == 2.0
assert unit_angular.unit == "angular / arcsec^2"
unit_sol_mass = unit_angular.convert(
unit_mass="solMass", critical_surface_density=2.0, unit_length="arcsec"
)
assert unit_sol_mass == 4.0
assert unit_sol_mass.unit == "solMass / arcsec^2"
unit_sol_mass = unit_sol_mass.convert(unit_mass="solMass", unit_length="arcsec")
assert unit_sol_mass == 4.0
assert unit_sol_mass.unit == "solMass / arcsec^2"
unit_angular = unit_sol_mass.convert(
unit_mass="angular", critical_surface_density=2.0, unit_length="arcsec"
)
assert unit_angular == 2.0
assert unit_angular.unit == "angular / arcsec^2"
with pytest.raises(exc.UnitsException):
unit_angular.convert(unit_mass="solMass", unit_length="eps")
unit_sol_mass.convert(unit_mass="angular", unit_length="eps")
unit_angular.convert(unit_mass="lol", unit_length="eps")
def test__conversions_from_arcsec_to_kpc_and_back__errors_raised_if_no_kpc_per_arcsec(
self
):
unit_arcsec = aast.dim.MassOverLength2(value=2.0, unit_mass="solMass")
assert unit_arcsec == 2.0
assert unit_arcsec.unit == "solMass / arcsec^2"
unit_arcsec = unit_arcsec.convert(unit_length="arcsec", unit_mass="solMass")
assert unit_arcsec == 2.0
assert unit_arcsec.unit == "solMass / arcsec^2"
unit_kpc = unit_arcsec.convert(
unit_length="kpc", kpc_per_arcsec=2.0, unit_mass="solMass"
)
assert unit_kpc == 2.0 / 2.0 ** 2.0
assert unit_kpc.unit == "solMass / kpc^2"
unit_kpc = unit_kpc.convert(unit_length="kpc", unit_mass="solMass")
assert unit_kpc == 2.0 / 2.0 ** 2.0
assert unit_kpc.unit == "solMass / kpc^2"
unit_arcsec = unit_kpc.convert(
unit_length="arcsec", kpc_per_arcsec=2.0, unit_mass="solMass"
)
assert unit_arcsec == 2.0
assert unit_arcsec.unit == "solMass / arcsec^2"
with pytest.raises(exc.UnitsException):
unit_arcsec.convert(unit_length="kpc", unit_mass="solMass")
unit_kpc.convert(unit_length="arcsec", unit_mass="solMass")
unit_arcsec.convert(unit_length="lol", unit_mass="solMass")
class TestMassOverLength3:
def test__conversions_from_angular_and_sol_mass_and_back__errors_raised_if_critical_mass_density(
self
):
unit_angular = aast.dim.MassOverLength3(value=2.0)
assert unit_angular == 2.0
assert unit_angular.unit == "angular / arcsec^3"
unit_angular = unit_angular.convert(unit_mass="angular", unit_length="arcsec")
assert unit_angular == 2.0
assert unit_angular.unit == "angular / arcsec^3"
unit_sol_mass = unit_angular.convert(
unit_mass="solMass", critical_surface_density=2.0, unit_length="arcsec"
)
assert unit_sol_mass == 4.0
assert unit_sol_mass.unit == "solMass / arcsec^3"
unit_sol_mass = unit_sol_mass.convert(unit_mass="solMass", unit_length="arcsec")
assert unit_sol_mass == 4.0
assert unit_sol_mass.unit == "solMass / arcsec^3"
unit_angular = unit_sol_mass.convert(
unit_mass="angular", critical_surface_density=2.0, unit_length="arcsec"
)
assert unit_angular == 2.0
assert unit_angular.unit == "angular / arcsec^3"
with pytest.raises(exc.UnitsException):
unit_angular.convert(unit_mass="solMass", unit_length="eps")
unit_sol_mass.convert(unit_mass="angular", unit_length="eps")
unit_angular.convert(unit_mass="lol", unit_length="eps")
def test__conversions_from_arcsec_to_kpc_and_back__errors_raised_if_no_kpc_per_arcsec(
self
):
unit_arcsec = aast.dim.MassOverLength3(value=2.0, unit_mass="solMass")
assert unit_arcsec == 2.0
assert unit_arcsec.unit == "solMass / arcsec^3"
unit_arcsec = unit_arcsec.convert(unit_length="arcsec", unit_mass="solMass")
assert unit_arcsec == 2.0
assert unit_arcsec.unit == "solMass / arcsec^3"
unit_kpc = unit_arcsec.convert(
unit_length="kpc", kpc_per_arcsec=2.0, unit_mass="solMass"
)
assert unit_kpc == 2.0 / 2.0 ** 3.0
assert unit_kpc.unit == "solMass / kpc^3"
unit_kpc = unit_kpc.convert(unit_length="kpc", unit_mass="solMass")
assert unit_kpc == 2.0 / 2.0 ** 3.0
assert unit_kpc.unit == "solMass / kpc^3"
unit_arcsec = unit_kpc.convert(
unit_length="arcsec", kpc_per_arcsec=2.0, unit_mass="solMass"
)
assert unit_arcsec == 2.0
assert unit_arcsec.unit == "solMass / arcsec^3"
with pytest.raises(exc.UnitsException):
unit_arcsec.convert(unit_length="kpc", unit_mass="solMass")
unit_kpc.convert(unit_length="arcsec", unit_mass="solMass")
unit_arcsec.convert(unit_length="lol", unit_mass="solMass")
class MockDimensionsProfile(aast.dim.DimensionsProfile):
def __init__(
self,
position: aast.dim.Position = None,
param_float: float = None,
length: aast.dim.Length = None,
luminosity: aast.dim.Luminosity = None,
mass: aast.dim.Mass = None,
mass_over_luminosity: aast.dim.MassOverLuminosity = None,
):
super(MockDimensionsProfile, self).__init__()
self.position = position
self.param_float = param_float
self.luminosity = luminosity
self.length = length
self.mass = mass
self.mass_over_luminosity = mass_over_luminosity
class TestDimensionsProfile:
class TestUnitProperties:
def test__extracts_length_correctly__raises_error_if_different_lengths_input(
self
):
profile = MockDimensionsProfile(
position=(
aast.dim.Length(value=3.0, unit_length="arcsec"),
aast.dim.Length(value=3.0, unit_length="arcsec"),
),
length=aast.dim.Length(3.0, "arcsec"),
)
assert profile.unit_length == "arcsec"
profile = MockDimensionsProfile(
position=(
aast.dim.Length(value=3.0, unit_length="kpc"),
aast.dim.Length(value=3.0, unit_length="kpc"),
),
length=aast.dim.Length(3.0, "kpc"),
)
assert profile.unit_length == "kpc"
with pytest.raises(exc.UnitsException):
profile = MockDimensionsProfile(
position=(
aast.dim.Length(value=3.0, unit_length="kpc"),
aast.dim.Length(value=3.0, unit_length="kpc"),
),
length=aast.dim.Length(3.0, "arcsec"),
)
profile.unit_length
def test__extracts_luminosity_correctly__raises_error_if_different_luminosities(
self
):
profile = MockDimensionsProfile(
luminosity=aast.dim.Luminosity(3.0, "eps"),
mass_over_luminosity=aast.dim.MassOverLuminosity(
value=1.0, unit_luminosity="eps"
),
)
assert profile.unit_luminosity == "eps"
profile = MockDimensionsProfile(
luminosity=aast.dim.Luminosity(3.0, "counts"),
mass_over_luminosity=aast.dim.MassOverLuminosity(
value=1.0, unit_luminosity="counts"
),
)
assert profile.unit_luminosity == "counts"
with pytest.raises(exc.UnitsException):
profile = MockDimensionsProfile(
luminosity=aast.dim.Luminosity(3.0, "eps"),
mass_over_luminosity=aast.dim.MassOverLuminosity(
value=1.0, unit_luminosity="counts"
),
)
profile.unit_luminosity
def test__extracts_mass_correctly__raises_error_if_different_mass(self):
profile = MockDimensionsProfile(
mass=aast.dim.Mass(3.0, "angular"),
mass_over_luminosity=aast.dim.MassOverLuminosity(
value=1.0, unit_mass="angular"
),
)
assert profile.unit_mass == "angular"
profile = MockDimensionsProfile(
mass=aast.dim.Mass(3.0, "solMass"),
mass_over_luminosity=aast.dim.MassOverLuminosity(
value=1.0, unit_mass="solMass"
),
)
assert profile.unit_mass == "solMass"
with pytest.raises(exc.UnitsException):
profile = MockDimensionsProfile(
mass=aast.dim.Mass(3.0, "angular"),
mass_over_luminosity=aast.dim.MassOverLuminosity(
value=1.0, unit_mass="solMass"
),
)
profile.unit_mass
class TestUnitConversions:
def test__arcsec_to_kpc_conversions_of_length__float_and_tuple_length__conversion_converts_values(
self
):
profile_arcsec = MockDimensionsProfile(
position=(
aast.dim.Length(1.0, "arcsec"),
aast.dim.Length(2.0, "arcsec"),
),
param_float=2.0,
length=aast.dim.Length(value=3.0, unit_length="arcsec"),
luminosity=aast.dim.Luminosity(value=4.0, unit_luminosity="eps"),
mass=aast.dim.Mass(value=5.0, unit_mass="angular"),
mass_over_luminosity=aast.dim.MassOverLuminosity(
value=6.0, unit_luminosity="eps", unit_mass="angular"
),
)
assert profile_arcsec.position == (1.0, 2.0)
assert profile_arcsec.position[0].unit_length == "arcsec"
assert profile_arcsec.position[1].unit_length == "arcsec"
assert profile_arcsec.param_float == 2.0
assert profile_arcsec.length == 3.0
assert profile_arcsec.length.unit_length == "arcsec"
assert profile_arcsec.luminosity == 4.0
assert profile_arcsec.luminosity.unit_luminosity == "eps"
assert profile_arcsec.mass == 5.0
assert profile_arcsec.mass.unit_mass == "angular"
assert profile_arcsec.mass_over_luminosity == 6.0
assert profile_arcsec.mass_over_luminosity.unit == "angular / eps"
profile_arcsec = profile_arcsec.new_object_with_units_converted(
unit_length="arcsec"
)
assert profile_arcsec.position == (1.0, 2.0)
assert profile_arcsec.position[0].unit == "arcsec"
assert profile_arcsec.position[1].unit == "arcsec"
assert profile_arcsec.param_float == 2.0
assert profile_arcsec.length == 3.0
assert profile_arcsec.length.unit == "arcsec"
assert profile_arcsec.luminosity == 4.0
assert profile_arcsec.luminosity.unit == "eps"
assert profile_arcsec.mass == 5.0
assert profile_arcsec.mass.unit_mass == "angular"
assert profile_arcsec.mass_over_luminosity == 6.0
assert profile_arcsec.mass_over_luminosity.unit == "angular / eps"
profile_kpc = profile_arcsec.new_object_with_units_converted(
unit_length="kpc", kpc_per_arcsec=2.0
)
assert profile_kpc.position == (2.0, 4.0)
assert profile_kpc.position[0].unit == "kpc"
assert profile_kpc.position[1].unit == "kpc"
assert profile_kpc.param_float == 2.0
assert profile_kpc.length == 6.0
assert profile_kpc.length.unit == "kpc"
assert profile_kpc.luminosity == 4.0
assert profile_kpc.luminosity.unit == "eps"
assert profile_arcsec.mass == 5.0
assert profile_arcsec.mass.unit_mass == "angular"
assert profile_kpc.mass_over_luminosity == 6.0
assert profile_kpc.mass_over_luminosity.unit == "angular / eps"
profile_kpc = profile_kpc.new_object_with_units_converted(unit_length="kpc")
assert profile_kpc.position == (2.0, 4.0)
assert profile_kpc.position[0].unit == "kpc"
assert profile_kpc.position[1].unit == "kpc"
assert profile_kpc.param_float == 2.0
assert profile_kpc.length == 6.0
assert profile_kpc.length.unit == "kpc"
assert profile_kpc.luminosity == 4.0
assert profile_kpc.luminosity.unit == "eps"
assert profile_arcsec.mass == 5.0
assert profile_arcsec.mass.unit_mass == "angular"
assert profile_kpc.mass_over_luminosity == 6.0
assert profile_kpc.mass_over_luminosity.unit == "angular / eps"
profile_arcsec = profile_kpc.new_object_with_units_converted(
unit_length="arcsec", kpc_per_arcsec=2.0
)
assert profile_arcsec.position == (1.0, 2.0)
assert profile_arcsec.position[0].unit == "arcsec"
assert profile_arcsec.position[1].unit == "arcsec"
assert profile_arcsec.param_float == 2.0
assert profile_arcsec.length == 3.0
assert profile_arcsec.length.unit == "arcsec"
assert profile_arcsec.luminosity == 4.0
assert profile_arcsec.luminosity.unit == "eps"
assert profile_arcsec.mass == 5.0
assert profile_arcsec.mass.unit_mass == "angular"
assert profile_arcsec.mass_over_luminosity == 6.0
assert profile_arcsec.mass_over_luminosity.unit == "angular / eps"
def test__conversion_requires_kpc_per_arcsec_but_does_not_supply_it_raises_error(
self
):
profile_arcsec = MockDimensionsProfile(
position=(
aast.dim.Length(1.0, "arcsec"),
aast.dim.Length(2.0, "arcsec"),
)
)
with pytest.raises(exc.UnitsException):
profile_arcsec.new_object_with_units_converted(unit_length="kpc")
profile_kpc = profile_arcsec.new_object_with_units_converted(
unit_length="kpc", kpc_per_arcsec=2.0
)
with pytest.raises(exc.UnitsException):
profile_kpc.new_object_with_units_converted(unit_length="arcsec")
def test__eps_to_counts_conversions_of_luminosity__conversions_convert_values(
self
):
profile_eps = MockDimensionsProfile(
position=(
aast.dim.Length(1.0, "arcsec"),
aast.dim.Length(2.0, "arcsec"),
),
param_float=2.0,
length=aast.dim.Length(value=3.0, unit_length="arcsec"),
luminosity=aast.dim.Luminosity(value=4.0, unit_luminosity="eps"),
mass=aast.dim.Mass(value=5.0, unit_mass="angular"),
mass_over_luminosity=aast.dim.MassOverLuminosity(
value=6.0, unit_luminosity="eps", unit_mass="angular"
),
)
assert profile_eps.position == (1.0, 2.0)
assert profile_eps.position[0].unit_length == "arcsec"
assert profile_eps.position[1].unit_length == "arcsec"
assert profile_eps.param_float == 2.0
assert profile_eps.length == 3.0
assert profile_eps.length.unit_length == "arcsec"
assert profile_eps.luminosity == 4.0
assert profile_eps.luminosity.unit_luminosity == "eps"
assert profile_eps.mass == 5.0
assert profile_eps.mass.unit_mass == "angular"
assert profile_eps.mass_over_luminosity == 6.0
assert profile_eps.mass_over_luminosity.unit == "angular / eps"
profile_eps = profile_eps.new_object_with_units_converted(
unit_luminosity="eps"
)
assert profile_eps.position == (1.0, 2.0)
assert profile_eps.position[0].unit_length == "arcsec"
assert profile_eps.position[1].unit_length == "arcsec"
assert profile_eps.param_float == 2.0
assert profile_eps.length == 3.0
assert profile_eps.length.unit_length == "arcsec"
assert profile_eps.luminosity == 4.0
assert profile_eps.luminosity.unit_luminosity == "eps"
assert profile_eps.mass == 5.0
assert profile_eps.mass.unit_mass == "angular"
assert profile_eps.mass_over_luminosity == 6.0
assert profile_eps.mass_over_luminosity.unit == "angular / eps"
profile_counts = profile_eps.new_object_with_units_converted(
unit_luminosity="counts", exposure_time=10.0
)
assert profile_counts.position == (1.0, 2.0)
assert profile_counts.position[0].unit_length == "arcsec"
assert profile_counts.position[1].unit_length == "arcsec"
assert profile_counts.param_float == 2.0
assert profile_counts.length == 3.0
assert profile_counts.length.unit_length == "arcsec"
assert profile_counts.luminosity == 40.0
assert profile_counts.luminosity.unit_luminosity == "counts"
assert profile_counts.mass == 5.0
assert profile_counts.mass.unit_mass == "angular"
assert profile_counts.mass_over_luminosity == pytest.approx(0.6, 1.0e-4)
assert profile_counts.mass_over_luminosity.unit == "angular / counts"
profile_counts = profile_counts.new_object_with_units_converted(
unit_luminosity="counts"
)
assert profile_counts.position == (1.0, 2.0)
assert profile_counts.position[0].unit_length == "arcsec"
assert profile_counts.position[1].unit_length == "arcsec"
assert profile_counts.param_float == 2.0
assert profile_counts.length == 3.0
assert profile_counts.length.unit_length == "arcsec"
assert profile_counts.luminosity == 40.0
assert profile_counts.luminosity.unit_luminosity == "counts"
assert profile_counts.mass == 5.0
assert profile_counts.mass.unit_mass == "angular"
assert profile_counts.mass_over_luminosity == pytest.approx(0.6, 1.0e-4)
assert profile_counts.mass_over_luminosity.unit == "angular / counts"
profile_eps = profile_counts.new_object_with_units_converted(
unit_luminosity="eps", exposure_time=10.0
)
assert profile_eps.position == (1.0, 2.0)
assert profile_eps.position[0].unit_length == "arcsec"
assert profile_eps.position[1].unit_length == "arcsec"
assert profile_eps.param_float == 2.0
assert profile_eps.length == 3.0
assert profile_eps.length.unit_length == "arcsec"
assert profile_eps.luminosity == 4.0
assert profile_eps.luminosity.unit_luminosity == "eps"
assert profile_eps.mass == 5.0
assert profile_eps.mass.unit_mass == "angular"
assert profile_eps.mass_over_luminosity == pytest.approx(6.0, 1.0e-4)
assert profile_eps.mass_over_luminosity.unit == "angular / eps"
def test__luminosity_conversion_requires_exposure_time_but_does_not_supply_it_raises_error(
self
):
profile_eps = MockDimensionsProfile(
position=(
aast.dim.Length(1.0, "arcsec"),
aast.dim.Length(2.0, "arcsec"),
),
param_float=2.0,
length=aast.dim.Length(value=3.0, unit_length="arcsec"),
luminosity=aast.dim.Luminosity(value=4.0, unit_luminosity="eps"),
mass=aast.dim.Mass(value=5.0, unit_mass="angular"),
mass_over_luminosity=aast.dim.MassOverLuminosity(
value=6.0, unit_luminosity="eps", unit_mass="angular"
),
)
with pytest.raises(exc.UnitsException):
profile_eps.new_object_with_units_converted(unit_luminosity="counts")
profile_counts = profile_eps.new_object_with_units_converted(
unit_luminosity="counts", exposure_time=10.0
)
with pytest.raises(exc.UnitsException):
profile_counts.new_object_with_units_converted(unit_luminosity="eps")
def test__angular_to_solMass_conversions_of_mass__conversions_convert_values(
self
):
profile_angular = MockDimensionsProfile(
position=(
aast.dim.Length(1.0, "arcsec"),
aast.dim.Length(2.0, "arcsec"),
),
param_float=2.0,
length=aast.dim.Length(value=3.0, unit_length="arcsec"),
luminosity=aast.dim.Luminosity(value=4.0, unit_luminosity="eps"),
mass=aast.dim.Mass(value=5.0, unit_mass="angular"),
mass_over_luminosity=aast.dim.MassOverLuminosity(
value=6.0, unit_luminosity="eps", unit_mass="angular"
),
)
assert profile_angular.position == (1.0, 2.0)
assert profile_angular.position[0].unit_length == "arcsec"
assert profile_angular.position[1].unit_length == "arcsec"
assert profile_angular.param_float == 2.0
assert profile_angular.length == 3.0
assert profile_angular.length.unit_length == "arcsec"
assert profile_angular.luminosity == 4.0
assert profile_angular.luminosity.unit_luminosity == "eps"
assert profile_angular.mass == 5.0
assert profile_angular.mass.unit_mass == "angular"
assert profile_angular.mass_over_luminosity == 6.0
assert profile_angular.mass_over_luminosity.unit == "angular / eps"
profile_angular = profile_angular.new_object_with_units_converted(
unit_mass="angular"
)
assert profile_angular.position == (1.0, 2.0)
assert profile_angular.position[0].unit_length == "arcsec"
assert profile_angular.position[1].unit_length == "arcsec"
assert profile_angular.param_float == 2.0
assert profile_angular.length == 3.0
assert profile_angular.length.unit_length == "arcsec"
assert profile_angular.luminosity == 4.0
assert profile_angular.luminosity.unit_luminosity == "eps"
assert profile_angular.mass == 5.0
assert profile_angular.mass.unit_mass == "angular"
assert profile_angular.mass_over_luminosity == 6.0
assert profile_angular.mass_over_luminosity.unit == "angular / eps"
profile_solMass = profile_angular.new_object_with_units_converted(
unit_mass="solMass", critical_surface_density=10.0
)
assert profile_solMass.position == (1.0, 2.0)
assert profile_solMass.position[0].unit_length == "arcsec"
assert profile_solMass.position[1].unit_length == "arcsec"
assert profile_solMass.param_float == 2.0
assert profile_solMass.length == 3.0
assert profile_solMass.length.unit_length == "arcsec"
assert profile_solMass.luminosity == 4.0
assert profile_solMass.luminosity.unit_luminosity == "eps"
assert profile_solMass.mass == 50.0
assert profile_solMass.mass.unit_mass == "solMass"
assert profile_solMass.mass_over_luminosity == pytest.approx(60.0, 1.0e-4)
assert profile_solMass.mass_over_luminosity.unit == "solMass / eps"
profile_solMass = profile_solMass.new_object_with_units_converted(
unit_mass="solMass"
)
assert profile_solMass.position == (1.0, 2.0)
assert profile_solMass.position[0].unit_length == "arcsec"
assert profile_solMass.position[1].unit_length == "arcsec"
assert profile_solMass.param_float == 2.0
assert profile_solMass.length == 3.0
assert profile_solMass.length.unit_length == "arcsec"
assert profile_solMass.luminosity == 4.0
assert profile_solMass.luminosity.unit_luminosity == "eps"
assert profile_solMass.mass == 50.0
assert profile_solMass.mass.unit_mass == "solMass"
assert profile_solMass.mass_over_luminosity == pytest.approx(60.0, 1.0e-4)
assert profile_solMass.mass_over_luminosity.unit == "solMass / eps"
profile_angular = profile_solMass.new_object_with_units_converted(
unit_mass="angular", critical_surface_density=10.0
)
assert profile_angular.position == (1.0, 2.0)
assert profile_angular.position[0].unit_length == "arcsec"
assert profile_angular.position[1].unit_length == "arcsec"
assert profile_angular.param_float == 2.0
assert profile_angular.length == 3.0
assert profile_angular.length.unit_length == "arcsec"
assert profile_angular.luminosity == 4.0
assert profile_angular.luminosity.unit_luminosity == "eps"
assert profile_angular.mass == 5.0
assert profile_angular.mass.unit_mass == "angular"
assert profile_angular.mass_over_luminosity == pytest.approx(6.0, 1.0e-4)
assert profile_angular.mass_over_luminosity.unit == "angular / eps"
def test__mass_conversion_requires_critical_surface_density_but_does_not_supply_it_raises_error(
self
):
profile_angular = MockDimensionsProfile(
position=(
aast.dim.Length(1.0, "arcsec"),
aast.dim.Length(2.0, "arcsec"),
),
param_float=2.0,
length=aast.dim.Length(value=3.0, unit_length="arcsec"),
luminosity=aast.dim.Luminosity(value=4.0, unit_luminosity="eps"),
mass=aast.dim.Mass(value=5.0, unit_mass="angular"),
mass_over_luminosity=aast.dim.MassOverLuminosity(
value=6.0, unit_luminosity="eps", unit_mass="angular"
),
)
with pytest.raises(exc.UnitsException):
profile_angular.new_object_with_units_converted(unit_mass="solMass")
profile_solMass = profile_angular.new_object_with_units_converted(
unit_mass="solMass", critical_surface_density=10.0
)
with pytest.raises(exc.UnitsException):
profile_solMass.new_object_with_units_converted(unit_mass="angular")
| 39.685815 | 106 | 0.615385 | 3,974 | 33,852 | 4.941369 | 0.026422 | 0.123135 | 0.064165 | 0.048174 | 0.930336 | 0.91623 | 0.895402 | 0.866782 | 0.841626 | 0.807048 | 0 | 0.024912 | 0.286157 | 33,852 | 852 | 107 | 39.732394 | 0.78771 | 0.004047 | 0 | 0.727964 | 0 | 0 | 0.065203 | 0 | 0 | 0 | 0 | 0 | 0.419453 | 1 | 0.028875 | false | 0 | 0.006079 | 0 | 0.050152 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
0d339e2727f2bcedbbbde0b42a0fe2504bf339bd | 1,671 | py | Python | test/regexp/fregexp5.py | kylebarron/MagicPython | da6fa0793e2c85d3bf7709ff1d4f65ccf468db11 | [
"MIT"
] | 1,482 | 2015-10-16T21:59:32.000Z | 2022-03-30T11:44:40.000Z | test/regexp/fregexp5.py | kylebarron/MagicPython | da6fa0793e2c85d3bf7709ff1d4f65ccf468db11 | [
"MIT"
] | 226 | 2015-10-15T15:53:44.000Z | 2022-03-25T03:08:27.000Z | test/regexp/fregexp5.py | kylebarron/MagicPython | da6fa0793e2c85d3bf7709ff1d4f65ccf468db11 | [
"MIT"
] | 129 | 2015-10-20T02:41:49.000Z | 2022-03-22T01:44:36.000Z | a = rf'{{foo}}'
a = r'\{foo\}'
a : source.python
: source.python
= : keyword.operator.assignment.python, source.python
: source.python
rf : source.python, storage.type.string.python, string.interpolated.python, string.regexp.quoted.single.python
' : punctuation.definition.string.begin.python, source.python, string.interpolated.python, string.regexp.quoted.single.python
{{ : constant.character.escape.python, source.python, string.interpolated.python, string.regexp.quoted.single.python
foo : source.python, string.interpolated.python, string.regexp.quoted.single.python
}} : constant.character.escape.python, source.python, string.interpolated.python, string.regexp.quoted.single.python
' : punctuation.definition.string.end.python, source.python, string.interpolated.python, string.regexp.quoted.single.python
a : source.python
: source.python
= : keyword.operator.assignment.python, source.python
: source.python
r : source.python, storage.type.string.python, string.regexp.quoted.single.python
' : punctuation.definition.string.begin.python, source.python, string.regexp.quoted.single.python
\{ : constant.character.escape.regexp, source.python, string.regexp.quoted.single.python
foo : source.python, string.regexp.quoted.single.python
\} : constant.character.escape.regexp, source.python, string.regexp.quoted.single.python
' : punctuation.definition.string.end.python, source.python, string.regexp.quoted.single.python
| 61.888889 | 137 | 0.681029 | 182 | 1,671 | 6.252747 | 0.126374 | 0.210896 | 0.189807 | 0.253076 | 0.987698 | 0.987698 | 0.987698 | 0.936731 | 0.915641 | 0.915641 | 0 | 0 | 0.200479 | 1,671 | 26 | 138 | 64.269231 | 0.851796 | 0 | 0 | 0.363636 | 0 | 0.318182 | 0.008378 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11 |
b48f6a8dc9eba5e255125b7e89472b3fdcbf0d2a | 128 | py | Python | desktop/core/ext-py/nose-1.3.7/functional_tests/support/todo/test_with_todo.py | kokosing/hue | 2307f5379a35aae9be871e836432e6f45138b3d9 | [
"Apache-2.0"
] | 5,079 | 2015-01-01T03:39:46.000Z | 2022-03-31T07:38:22.000Z | desktop/core/ext-py/nose-1.3.7/functional_tests/support/todo/test_with_todo.py | zks888/hue | 93a8c370713e70b216c428caa2f75185ef809deb | [
"Apache-2.0"
] | 1,623 | 2015-01-01T08:06:24.000Z | 2022-03-30T19:48:52.000Z | desktop/core/ext-py/nose-1.3.7/functional_tests/support/todo/test_with_todo.py | zks888/hue | 93a8c370713e70b216c428caa2f75185ef809deb | [
"Apache-2.0"
] | 2,033 | 2015-01-04T07:18:02.000Z | 2022-03-28T19:55:47.000Z | from todoplug import Todo
def test_some_important_thing():
raise Todo("Not done yet")
def test_something_else():
pass
| 16 | 32 | 0.742188 | 19 | 128 | 4.736842 | 0.842105 | 0.155556 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.179688 | 128 | 7 | 33 | 18.285714 | 0.857143 | 0 | 0 | 0 | 0 | 0 | 0.09375 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.4 | true | 0.2 | 0.4 | 0 | 0.8 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 7 |
b4b53195e8d6776fd6c9a081042e7591433df036 | 1,599 | py | Python | operations/operations.py | ChainBreak/signed_distance_renderer | 67e9e85072e127dc5569fbc29fc8131ad2d2014b | [
"MIT"
] | null | null | null | operations/operations.py | ChainBreak/signed_distance_renderer | 67e9e85072e127dc5569fbc29fc8131ad2d2014b | [
"MIT"
] | null | null | null | operations/operations.py | ChainBreak/signed_distance_renderer | 67e9e85072e127dc5569fbc29fc8131ad2d2014b | [
"MIT"
] | null | null | null | import torch
class Operation():
def __call__(self, position_tensor, current_signed_distance_tensor):
return self.modify_signed_distance(position_tensor, current_signed_distance_tensor)
def modify_signed_distance(self,position_tensor, current_signed_distance_tensor):
raise NotImplementedError
class Start(Operation):
def __init__(self,shape):
self.shape = shape
def modify_signed_distance(self, position_tensor, current_signed_distance_tensor):
return self.shape.compute_signed_distance(position_tensor)
class Join(Operation):
def __init__(self,shape):
self.shape = shape
def modify_signed_distance(self, position_tensor, current_signed_distance_tensor):
new_signed_distance_tensor = self.shape.compute_signed_distance(position_tensor)
return torch.minimum(new_signed_distance_tensor,current_signed_distance_tensor)
class Cut(Operation):
def __init__(self,shape):
self.shape = shape
def modify_signed_distance(self, position_tensor, current_signed_distance_tensor):
new_signed_distance_tensor = self.shape.compute_signed_distance(position_tensor)
return torch.maximum(-new_signed_distance_tensor,current_signed_distance_tensor)
class Intersect(Operation):
def __init__(self,shape):
self.shape = shape
def modify_signed_distance(self, position_tensor, current_signed_distance_tensor):
new_signed_distance_tensor = self.shape.compute_signed_distance(position_tensor)
return torch.maximum(new_signed_distance_tensor,current_signed_distance_tensor) | 39.975 | 91 | 0.789869 | 195 | 1,599 | 5.969231 | 0.133333 | 0.312715 | 0.274914 | 0.231959 | 0.902062 | 0.902062 | 0.866838 | 0.832474 | 0.832474 | 0.725086 | 0 | 0 | 0.144465 | 1,599 | 40 | 92 | 39.975 | 0.850877 | 0 | 0 | 0.551724 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.344828 | false | 0 | 0.034483 | 0.068966 | 0.724138 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 11 |
b4d52c7e28e7aff2c10259515daa14eb98e7cb08 | 72,931 | py | Python | boto3_type_annotations_with_docs/boto3_type_annotations/xray/paginator.py | cowboygneox/boto3_type_annotations | 450dce1de4e066b939de7eac2ec560ed1a7ddaa2 | [
"MIT"
] | 119 | 2018-12-01T18:20:57.000Z | 2022-02-02T10:31:29.000Z | boto3_type_annotations_with_docs/boto3_type_annotations/xray/paginator.py | cowboygneox/boto3_type_annotations | 450dce1de4e066b939de7eac2ec560ed1a7ddaa2 | [
"MIT"
] | 15 | 2018-11-16T00:16:44.000Z | 2021-11-13T03:44:18.000Z | boto3_type_annotations_with_docs/boto3_type_annotations/xray/paginator.py | cowboygneox/boto3_type_annotations | 450dce1de4e066b939de7eac2ec560ed1a7ddaa2 | [
"MIT"
] | 11 | 2019-05-06T05:26:51.000Z | 2021-09-28T15:27:59.000Z | from typing import Dict
from typing import List
from datetime import datetime
from botocore.paginate import Paginator
class BatchGetTraces(Paginator):
def paginate(self, TraceIds: List, PaginationConfig: Dict = None) -> Dict:
"""
Creates an iterator that will paginate through responses from :py:meth:`XRay.Client.batch_get_traces`.
See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/xray-2016-04-12/BatchGetTraces>`_
**Request Syntax**
::
response_iterator = paginator.paginate(
TraceIds=[
'string',
],
PaginationConfig={
'MaxItems': 123,
'PageSize': 123,
'StartingToken': 'string'
}
)
**Response Syntax**
::
{
'Traces': [
{
'Id': 'string',
'Duration': 123.0,
'Segments': [
{
'Id': 'string',
'Document': 'string'
},
]
},
],
'UnprocessedTraceIds': [
'string',
],
}
**Response Structure**
- *(dict) --*
- **Traces** *(list) --*
Full traces for the specified requests.
- *(dict) --*
A collection of segment documents with matching trace IDs.
- **Id** *(string) --*
The unique identifier for the request that generated the trace's segments and subsegments.
- **Duration** *(float) --*
The length of time in seconds between the start time of the root segment and the end time of the last segment that completed.
- **Segments** *(list) --*
Segment documents for the segments and subsegments that comprise the trace.
- *(dict) --*
A segment from a trace that has been ingested by the X-Ray service. The segment can be compiled from documents uploaded with PutTraceSegments , or an ``inferred`` segment for a downstream service, generated from a subsegment sent by the service that called it.
For the full segment document schema, see `AWS X-Ray Segment Documents <https://docs.aws.amazon.com/xray/latest/devguide/xray-api-segmentdocuments.html>`__ in the *AWS X-Ray Developer Guide* .
- **Id** *(string) --*
The segment's ID.
- **Document** *(string) --*
The segment document.
- **UnprocessedTraceIds** *(list) --*
Trace IDs of requests that haven't been processed.
- *(string) --*
:type TraceIds: list
:param TraceIds: **[REQUIRED]**
Specify the trace IDs of requests for which to retrieve segments.
- *(string) --*
:type PaginationConfig: dict
:param PaginationConfig:
A dictionary that provides parameters to control pagination.
- **MaxItems** *(integer) --*
The total number of items to return. If the total number of items available is more than the value specified in max-items then a ``NextToken`` will be provided in the output that you can use to resume pagination.
- **PageSize** *(integer) --*
The size of each page.
- **StartingToken** *(string) --*
A token to specify where to start paginating. This is the ``NextToken`` from a previous response.
:rtype: dict
:returns:
"""
pass
class GetGroups(Paginator):
def paginate(self, PaginationConfig: Dict = None) -> Dict:
"""
Creates an iterator that will paginate through responses from :py:meth:`XRay.Client.get_groups`.
See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/xray-2016-04-12/GetGroups>`_
**Request Syntax**
::
response_iterator = paginator.paginate(
PaginationConfig={
'MaxItems': 123,
'PageSize': 123,
'StartingToken': 'string'
}
)
**Response Syntax**
::
{
'Groups': [
{
'GroupName': 'string',
'GroupARN': 'string',
'FilterExpression': 'string'
},
],
}
**Response Structure**
- *(dict) --*
- **Groups** *(list) --*
The collection of all active groups.
- *(dict) --*
Details for a group without metadata.
- **GroupName** *(string) --*
The unique case-sensitive name of the group.
- **GroupARN** *(string) --*
The ARN of the group generated based on the GroupName.
- **FilterExpression** *(string) --*
The filter expression defining the parameters to include traces.
:type PaginationConfig: dict
:param PaginationConfig:
A dictionary that provides parameters to control pagination.
- **MaxItems** *(integer) --*
The total number of items to return. If the total number of items available is more than the value specified in max-items then a ``NextToken`` will be provided in the output that you can use to resume pagination.
- **PageSize** *(integer) --*
The size of each page.
- **StartingToken** *(string) --*
A token to specify where to start paginating. This is the ``NextToken`` from a previous response.
:rtype: dict
:returns:
"""
pass
class GetSamplingRules(Paginator):
def paginate(self, PaginationConfig: Dict = None) -> Dict:
"""
Creates an iterator that will paginate through responses from :py:meth:`XRay.Client.get_sampling_rules`.
See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/xray-2016-04-12/GetSamplingRules>`_
**Request Syntax**
::
response_iterator = paginator.paginate(
PaginationConfig={
'MaxItems': 123,
'PageSize': 123,
'StartingToken': 'string'
}
)
**Response Syntax**
::
{
'SamplingRuleRecords': [
{
'SamplingRule': {
'RuleName': 'string',
'RuleARN': 'string',
'ResourceARN': 'string',
'Priority': 123,
'FixedRate': 123.0,
'ReservoirSize': 123,
'ServiceName': 'string',
'ServiceType': 'string',
'Host': 'string',
'HTTPMethod': 'string',
'URLPath': 'string',
'Version': 123,
'Attributes': {
'string': 'string'
}
},
'CreatedAt': datetime(2015, 1, 1),
'ModifiedAt': datetime(2015, 1, 1)
},
],
}
**Response Structure**
- *(dict) --*
- **SamplingRuleRecords** *(list) --*
Rule definitions and metadata.
- *(dict) --*
A SamplingRule and its metadata.
- **SamplingRule** *(dict) --*
The sampling rule.
- **RuleName** *(string) --*
The name of the sampling rule. Specify a rule by either name or ARN, but not both.
- **RuleARN** *(string) --*
The ARN of the sampling rule. Specify a rule by either name or ARN, but not both.
- **ResourceARN** *(string) --*
Matches the ARN of the AWS resource on which the service runs.
- **Priority** *(integer) --*
The priority of the sampling rule.
- **FixedRate** *(float) --*
The percentage of matching requests to instrument, after the reservoir is exhausted.
- **ReservoirSize** *(integer) --*
A fixed number of matching requests to instrument per second, prior to applying the fixed rate. The reservoir is not used directly by services, but applies to all services using the rule collectively.
- **ServiceName** *(string) --*
Matches the ``name`` that the service uses to identify itself in segments.
- **ServiceType** *(string) --*
Matches the ``origin`` that the service uses to identify its type in segments.
- **Host** *(string) --*
Matches the hostname from a request URL.
- **HTTPMethod** *(string) --*
Matches the HTTP method of a request.
- **URLPath** *(string) --*
Matches the path from a request URL.
- **Version** *(integer) --*
The version of the sampling rule format (``1`` ).
- **Attributes** *(dict) --*
Matches attributes derived from the request.
- *(string) --*
- *(string) --*
- **CreatedAt** *(datetime) --*
When the rule was created.
- **ModifiedAt** *(datetime) --*
When the rule was last modified.
:type PaginationConfig: dict
:param PaginationConfig:
A dictionary that provides parameters to control pagination.
- **MaxItems** *(integer) --*
The total number of items to return. If the total number of items available is more than the value specified in max-items then a ``NextToken`` will be provided in the output that you can use to resume pagination.
- **PageSize** *(integer) --*
The size of each page.
- **StartingToken** *(string) --*
A token to specify where to start paginating. This is the ``NextToken`` from a previous response.
:rtype: dict
:returns:
"""
pass
class GetSamplingStatisticSummaries(Paginator):
def paginate(self, PaginationConfig: Dict = None) -> Dict:
"""
Creates an iterator that will paginate through responses from :py:meth:`XRay.Client.get_sampling_statistic_summaries`.
See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/xray-2016-04-12/GetSamplingStatisticSummaries>`_
**Request Syntax**
::
response_iterator = paginator.paginate(
PaginationConfig={
'MaxItems': 123,
'PageSize': 123,
'StartingToken': 'string'
}
)
**Response Syntax**
::
{
'SamplingStatisticSummaries': [
{
'RuleName': 'string',
'Timestamp': datetime(2015, 1, 1),
'RequestCount': 123,
'BorrowCount': 123,
'SampledCount': 123
},
],
}
**Response Structure**
- *(dict) --*
- **SamplingStatisticSummaries** *(list) --*
Information about the number of requests instrumented for each sampling rule.
- *(dict) --*
Aggregated request sampling data for a sampling rule across all services for a 10 second window.
- **RuleName** *(string) --*
The name of the sampling rule.
- **Timestamp** *(datetime) --*
The start time of the reporting window.
- **RequestCount** *(integer) --*
The number of requests that matched the rule.
- **BorrowCount** *(integer) --*
The number of requests recorded with borrowed reservoir quota.
- **SampledCount** *(integer) --*
The number of requests recorded.
:type PaginationConfig: dict
:param PaginationConfig:
A dictionary that provides parameters to control pagination.
- **MaxItems** *(integer) --*
The total number of items to return. If the total number of items available is more than the value specified in max-items then a ``NextToken`` will be provided in the output that you can use to resume pagination.
- **PageSize** *(integer) --*
The size of each page.
- **StartingToken** *(string) --*
A token to specify where to start paginating. This is the ``NextToken`` from a previous response.
:rtype: dict
:returns:
"""
pass
class GetServiceGraph(Paginator):
def paginate(self, StartTime: datetime, EndTime: datetime, GroupName: str = None, GroupARN: str = None, PaginationConfig: Dict = None) -> Dict:
"""
Creates an iterator that will paginate through responses from :py:meth:`XRay.Client.get_service_graph`.
See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/xray-2016-04-12/GetServiceGraph>`_
**Request Syntax**
::
response_iterator = paginator.paginate(
StartTime=datetime(2015, 1, 1),
EndTime=datetime(2015, 1, 1),
GroupName='string',
GroupARN='string',
PaginationConfig={
'MaxItems': 123,
'PageSize': 123,
'StartingToken': 'string'
}
)
**Response Syntax**
::
{
'StartTime': datetime(2015, 1, 1),
'EndTime': datetime(2015, 1, 1),
'Services': [
{
'ReferenceId': 123,
'Name': 'string',
'Names': [
'string',
],
'Root': True|False,
'AccountId': 'string',
'Type': 'string',
'State': 'string',
'StartTime': datetime(2015, 1, 1),
'EndTime': datetime(2015, 1, 1),
'Edges': [
{
'ReferenceId': 123,
'StartTime': datetime(2015, 1, 1),
'EndTime': datetime(2015, 1, 1),
'SummaryStatistics': {
'OkCount': 123,
'ErrorStatistics': {
'ThrottleCount': 123,
'OtherCount': 123,
'TotalCount': 123
},
'FaultStatistics': {
'OtherCount': 123,
'TotalCount': 123
},
'TotalCount': 123,
'TotalResponseTime': 123.0
},
'ResponseTimeHistogram': [
{
'Value': 123.0,
'Count': 123
},
],
'Aliases': [
{
'Name': 'string',
'Names': [
'string',
],
'Type': 'string'
},
]
},
],
'SummaryStatistics': {
'OkCount': 123,
'ErrorStatistics': {
'ThrottleCount': 123,
'OtherCount': 123,
'TotalCount': 123
},
'FaultStatistics': {
'OtherCount': 123,
'TotalCount': 123
},
'TotalCount': 123,
'TotalResponseTime': 123.0
},
'DurationHistogram': [
{
'Value': 123.0,
'Count': 123
},
],
'ResponseTimeHistogram': [
{
'Value': 123.0,
'Count': 123
},
]
},
],
'ContainsOldGroupVersions': True|False,
}
**Response Structure**
- *(dict) --*
- **StartTime** *(datetime) --*
The start of the time frame for which the graph was generated.
- **EndTime** *(datetime) --*
The end of the time frame for which the graph was generated.
- **Services** *(list) --*
The services that have processed a traced request during the specified time frame.
- *(dict) --*
Information about an application that processed requests, users that made requests, or downstream services, resources and applications that an application used.
- **ReferenceId** *(integer) --*
Identifier for the service. Unique within the service map.
- **Name** *(string) --*
The canonical name of the service.
- **Names** *(list) --*
A list of names for the service, including the canonical name.
- *(string) --*
- **Root** *(boolean) --*
Indicates that the service was the first service to process a request.
- **AccountId** *(string) --*
Identifier of the AWS account in which the service runs.
- **Type** *(string) --*
The type of service.
* AWS Resource - The type of an AWS resource. For example, ``AWS::EC2::Instance`` for a application running on Amazon EC2 or ``AWS::DynamoDB::Table`` for an Amazon DynamoDB table that the application used.
* AWS Service - The type of an AWS service. For example, ``AWS::DynamoDB`` for downstream calls to Amazon DynamoDB that didn't target a specific table.
* ``client`` - Represents the clients that sent requests to a root service.
* ``remote`` - A downstream service of indeterminate type.
- **State** *(string) --*
The service's state.
- **StartTime** *(datetime) --*
The start time of the first segment that the service generated.
- **EndTime** *(datetime) --*
The end time of the last segment that the service generated.
- **Edges** *(list) --*
Connections to downstream services.
- *(dict) --*
Information about a connection between two services.
- **ReferenceId** *(integer) --*
Identifier of the edge. Unique within a service map.
- **StartTime** *(datetime) --*
The start time of the first segment on the edge.
- **EndTime** *(datetime) --*
The end time of the last segment on the edge.
- **SummaryStatistics** *(dict) --*
Response statistics for segments on the edge.
- **OkCount** *(integer) --*
The number of requests that completed with a 2xx Success status code.
- **ErrorStatistics** *(dict) --*
Information about requests that failed with a 4xx Client Error status code.
- **ThrottleCount** *(integer) --*
The number of requests that failed with a 419 throttling status code.
- **OtherCount** *(integer) --*
The number of requests that failed with untracked 4xx Client Error status codes.
- **TotalCount** *(integer) --*
The total number of requests that failed with a 4xx Client Error status code.
- **FaultStatistics** *(dict) --*
Information about requests that failed with a 5xx Server Error status code.
- **OtherCount** *(integer) --*
The number of requests that failed with untracked 5xx Server Error status codes.
- **TotalCount** *(integer) --*
The total number of requests that failed with a 5xx Server Error status code.
- **TotalCount** *(integer) --*
The total number of completed requests.
- **TotalResponseTime** *(float) --*
The aggregate response time of completed requests.
- **ResponseTimeHistogram** *(list) --*
A histogram that maps the spread of client response times on an edge.
- *(dict) --*
An entry in a histogram for a statistic. A histogram maps the range of observed values on the X axis, and the prevalence of each value on the Y axis.
- **Value** *(float) --*
The value of the entry.
- **Count** *(integer) --*
The prevalence of the entry.
- **Aliases** *(list) --*
Aliases for the edge.
- *(dict) --*
An alias for an edge.
- **Name** *(string) --*
The canonical name of the alias.
- **Names** *(list) --*
A list of names for the alias, including the canonical name.
- *(string) --*
- **Type** *(string) --*
The type of the alias.
- **SummaryStatistics** *(dict) --*
Aggregated statistics for the service.
- **OkCount** *(integer) --*
The number of requests that completed with a 2xx Success status code.
- **ErrorStatistics** *(dict) --*
Information about requests that failed with a 4xx Client Error status code.
- **ThrottleCount** *(integer) --*
The number of requests that failed with a 419 throttling status code.
- **OtherCount** *(integer) --*
The number of requests that failed with untracked 4xx Client Error status codes.
- **TotalCount** *(integer) --*
The total number of requests that failed with a 4xx Client Error status code.
- **FaultStatistics** *(dict) --*
Information about requests that failed with a 5xx Server Error status code.
- **OtherCount** *(integer) --*
The number of requests that failed with untracked 5xx Server Error status codes.
- **TotalCount** *(integer) --*
The total number of requests that failed with a 5xx Server Error status code.
- **TotalCount** *(integer) --*
The total number of completed requests.
- **TotalResponseTime** *(float) --*
The aggregate response time of completed requests.
- **DurationHistogram** *(list) --*
A histogram that maps the spread of service durations.
- *(dict) --*
An entry in a histogram for a statistic. A histogram maps the range of observed values on the X axis, and the prevalence of each value on the Y axis.
- **Value** *(float) --*
The value of the entry.
- **Count** *(integer) --*
The prevalence of the entry.
- **ResponseTimeHistogram** *(list) --*
A histogram that maps the spread of service response times.
- *(dict) --*
An entry in a histogram for a statistic. A histogram maps the range of observed values on the X axis, and the prevalence of each value on the Y axis.
- **Value** *(float) --*
The value of the entry.
- **Count** *(integer) --*
The prevalence of the entry.
- **ContainsOldGroupVersions** *(boolean) --*
A flag indicating whether the group's filter expression has been consistent, or if the returned service graph may show traces from an older version of the group's filter expression.
:type StartTime: datetime
:param StartTime: **[REQUIRED]**
The start of the time frame for which to generate a graph.
:type EndTime: datetime
:param EndTime: **[REQUIRED]**
The end of the timeframe for which to generate a graph.
:type GroupName: string
:param GroupName:
The name of a group to generate a graph based on.
:type GroupARN: string
:param GroupARN:
The ARN of a group to generate a graph based on.
:type PaginationConfig: dict
:param PaginationConfig:
A dictionary that provides parameters to control pagination.
- **MaxItems** *(integer) --*
The total number of items to return. If the total number of items available is more than the value specified in max-items then a ``NextToken`` will be provided in the output that you can use to resume pagination.
- **PageSize** *(integer) --*
The size of each page.
- **StartingToken** *(string) --*
A token to specify where to start paginating. This is the ``NextToken`` from a previous response.
:rtype: dict
:returns:
"""
pass
class GetTimeSeriesServiceStatistics(Paginator):
def paginate(self, StartTime: datetime, EndTime: datetime, GroupName: str = None, GroupARN: str = None, EntitySelectorExpression: str = None, Period: int = None, PaginationConfig: Dict = None) -> Dict:
"""
Creates an iterator that will paginate through responses from :py:meth:`XRay.Client.get_time_series_service_statistics`.
See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/xray-2016-04-12/GetTimeSeriesServiceStatistics>`_
**Request Syntax**
::
response_iterator = paginator.paginate(
StartTime=datetime(2015, 1, 1),
EndTime=datetime(2015, 1, 1),
GroupName='string',
GroupARN='string',
EntitySelectorExpression='string',
Period=123,
PaginationConfig={
'MaxItems': 123,
'PageSize': 123,
'StartingToken': 'string'
}
)
**Response Syntax**
::
{
'TimeSeriesServiceStatistics': [
{
'Timestamp': datetime(2015, 1, 1),
'EdgeSummaryStatistics': {
'OkCount': 123,
'ErrorStatistics': {
'ThrottleCount': 123,
'OtherCount': 123,
'TotalCount': 123
},
'FaultStatistics': {
'OtherCount': 123,
'TotalCount': 123
},
'TotalCount': 123,
'TotalResponseTime': 123.0
},
'ServiceSummaryStatistics': {
'OkCount': 123,
'ErrorStatistics': {
'ThrottleCount': 123,
'OtherCount': 123,
'TotalCount': 123
},
'FaultStatistics': {
'OtherCount': 123,
'TotalCount': 123
},
'TotalCount': 123,
'TotalResponseTime': 123.0
},
'ResponseTimeHistogram': [
{
'Value': 123.0,
'Count': 123
},
]
},
],
'ContainsOldGroupVersions': True|False,
}
**Response Structure**
- *(dict) --*
- **TimeSeriesServiceStatistics** *(list) --*
The collection of statistics.
- *(dict) --*
A list of TimeSeriesStatistic structures.
- **Timestamp** *(datetime) --*
Timestamp of the window for which statistics are aggregated.
- **EdgeSummaryStatistics** *(dict) --*
Response statistics for an edge.
- **OkCount** *(integer) --*
The number of requests that completed with a 2xx Success status code.
- **ErrorStatistics** *(dict) --*
Information about requests that failed with a 4xx Client Error status code.
- **ThrottleCount** *(integer) --*
The number of requests that failed with a 419 throttling status code.
- **OtherCount** *(integer) --*
The number of requests that failed with untracked 4xx Client Error status codes.
- **TotalCount** *(integer) --*
The total number of requests that failed with a 4xx Client Error status code.
- **FaultStatistics** *(dict) --*
Information about requests that failed with a 5xx Server Error status code.
- **OtherCount** *(integer) --*
The number of requests that failed with untracked 5xx Server Error status codes.
- **TotalCount** *(integer) --*
The total number of requests that failed with a 5xx Server Error status code.
- **TotalCount** *(integer) --*
The total number of completed requests.
- **TotalResponseTime** *(float) --*
The aggregate response time of completed requests.
- **ServiceSummaryStatistics** *(dict) --*
Response statistics for a service.
- **OkCount** *(integer) --*
The number of requests that completed with a 2xx Success status code.
- **ErrorStatistics** *(dict) --*
Information about requests that failed with a 4xx Client Error status code.
- **ThrottleCount** *(integer) --*
The number of requests that failed with a 419 throttling status code.
- **OtherCount** *(integer) --*
The number of requests that failed with untracked 4xx Client Error status codes.
- **TotalCount** *(integer) --*
The total number of requests that failed with a 4xx Client Error status code.
- **FaultStatistics** *(dict) --*
Information about requests that failed with a 5xx Server Error status code.
- **OtherCount** *(integer) --*
The number of requests that failed with untracked 5xx Server Error status codes.
- **TotalCount** *(integer) --*
The total number of requests that failed with a 5xx Server Error status code.
- **TotalCount** *(integer) --*
The total number of completed requests.
- **TotalResponseTime** *(float) --*
The aggregate response time of completed requests.
- **ResponseTimeHistogram** *(list) --*
The response time histogram for the selected entities.
- *(dict) --*
An entry in a histogram for a statistic. A histogram maps the range of observed values on the X axis, and the prevalence of each value on the Y axis.
- **Value** *(float) --*
The value of the entry.
- **Count** *(integer) --*
The prevalence of the entry.
- **ContainsOldGroupVersions** *(boolean) --*
A flag indicating whether or not a group's filter expression has been consistent, or if a returned aggregation may show statistics from an older version of the group's filter expression.
:type StartTime: datetime
:param StartTime: **[REQUIRED]**
The start of the time frame for which to aggregate statistics.
:type EndTime: datetime
:param EndTime: **[REQUIRED]**
The end of the time frame for which to aggregate statistics.
:type GroupName: string
:param GroupName:
The case-sensitive name of the group for which to pull statistics from.
:type GroupARN: string
:param GroupARN:
The ARN of the group for which to pull statistics from.
:type EntitySelectorExpression: string
:param EntitySelectorExpression:
A filter expression defining entities that will be aggregated for statistics. Supports ID, service, and edge functions. If no selector expression is specified, edge statistics are returned.
:type Period: integer
:param Period:
Aggregation period in seconds.
:type PaginationConfig: dict
:param PaginationConfig:
A dictionary that provides parameters to control pagination.
- **MaxItems** *(integer) --*
The total number of items to return. If the total number of items available is more than the value specified in max-items then a ``NextToken`` will be provided in the output that you can use to resume pagination.
- **PageSize** *(integer) --*
The size of each page.
- **StartingToken** *(string) --*
A token to specify where to start paginating. This is the ``NextToken`` from a previous response.
:rtype: dict
:returns:
"""
pass
class GetTraceGraph(Paginator):
def paginate(self, TraceIds: List, PaginationConfig: Dict = None) -> Dict:
"""
Creates an iterator that will paginate through responses from :py:meth:`XRay.Client.get_trace_graph`.
See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/xray-2016-04-12/GetTraceGraph>`_
**Request Syntax**
::
response_iterator = paginator.paginate(
TraceIds=[
'string',
],
PaginationConfig={
'MaxItems': 123,
'PageSize': 123,
'StartingToken': 'string'
}
)
**Response Syntax**
::
{
'Services': [
{
'ReferenceId': 123,
'Name': 'string',
'Names': [
'string',
],
'Root': True|False,
'AccountId': 'string',
'Type': 'string',
'State': 'string',
'StartTime': datetime(2015, 1, 1),
'EndTime': datetime(2015, 1, 1),
'Edges': [
{
'ReferenceId': 123,
'StartTime': datetime(2015, 1, 1),
'EndTime': datetime(2015, 1, 1),
'SummaryStatistics': {
'OkCount': 123,
'ErrorStatistics': {
'ThrottleCount': 123,
'OtherCount': 123,
'TotalCount': 123
},
'FaultStatistics': {
'OtherCount': 123,
'TotalCount': 123
},
'TotalCount': 123,
'TotalResponseTime': 123.0
},
'ResponseTimeHistogram': [
{
'Value': 123.0,
'Count': 123
},
],
'Aliases': [
{
'Name': 'string',
'Names': [
'string',
],
'Type': 'string'
},
]
},
],
'SummaryStatistics': {
'OkCount': 123,
'ErrorStatistics': {
'ThrottleCount': 123,
'OtherCount': 123,
'TotalCount': 123
},
'FaultStatistics': {
'OtherCount': 123,
'TotalCount': 123
},
'TotalCount': 123,
'TotalResponseTime': 123.0
},
'DurationHistogram': [
{
'Value': 123.0,
'Count': 123
},
],
'ResponseTimeHistogram': [
{
'Value': 123.0,
'Count': 123
},
]
},
],
}
**Response Structure**
- *(dict) --*
- **Services** *(list) --*
The services that have processed one of the specified requests.
- *(dict) --*
Information about an application that processed requests, users that made requests, or downstream services, resources and applications that an application used.
- **ReferenceId** *(integer) --*
Identifier for the service. Unique within the service map.
- **Name** *(string) --*
The canonical name of the service.
- **Names** *(list) --*
A list of names for the service, including the canonical name.
- *(string) --*
- **Root** *(boolean) --*
Indicates that the service was the first service to process a request.
- **AccountId** *(string) --*
Identifier of the AWS account in which the service runs.
- **Type** *(string) --*
The type of service.
* AWS Resource - The type of an AWS resource. For example, ``AWS::EC2::Instance`` for a application running on Amazon EC2 or ``AWS::DynamoDB::Table`` for an Amazon DynamoDB table that the application used.
* AWS Service - The type of an AWS service. For example, ``AWS::DynamoDB`` for downstream calls to Amazon DynamoDB that didn't target a specific table.
* ``client`` - Represents the clients that sent requests to a root service.
* ``remote`` - A downstream service of indeterminate type.
- **State** *(string) --*
The service's state.
- **StartTime** *(datetime) --*
The start time of the first segment that the service generated.
- **EndTime** *(datetime) --*
The end time of the last segment that the service generated.
- **Edges** *(list) --*
Connections to downstream services.
- *(dict) --*
Information about a connection between two services.
- **ReferenceId** *(integer) --*
Identifier of the edge. Unique within a service map.
- **StartTime** *(datetime) --*
The start time of the first segment on the edge.
- **EndTime** *(datetime) --*
The end time of the last segment on the edge.
- **SummaryStatistics** *(dict) --*
Response statistics for segments on the edge.
- **OkCount** *(integer) --*
The number of requests that completed with a 2xx Success status code.
- **ErrorStatistics** *(dict) --*
Information about requests that failed with a 4xx Client Error status code.
- **ThrottleCount** *(integer) --*
The number of requests that failed with a 419 throttling status code.
- **OtherCount** *(integer) --*
The number of requests that failed with untracked 4xx Client Error status codes.
- **TotalCount** *(integer) --*
The total number of requests that failed with a 4xx Client Error status code.
- **FaultStatistics** *(dict) --*
Information about requests that failed with a 5xx Server Error status code.
- **OtherCount** *(integer) --*
The number of requests that failed with untracked 5xx Server Error status codes.
- **TotalCount** *(integer) --*
The total number of requests that failed with a 5xx Server Error status code.
- **TotalCount** *(integer) --*
The total number of completed requests.
- **TotalResponseTime** *(float) --*
The aggregate response time of completed requests.
- **ResponseTimeHistogram** *(list) --*
A histogram that maps the spread of client response times on an edge.
- *(dict) --*
An entry in a histogram for a statistic. A histogram maps the range of observed values on the X axis, and the prevalence of each value on the Y axis.
- **Value** *(float) --*
The value of the entry.
- **Count** *(integer) --*
The prevalence of the entry.
- **Aliases** *(list) --*
Aliases for the edge.
- *(dict) --*
An alias for an edge.
- **Name** *(string) --*
The canonical name of the alias.
- **Names** *(list) --*
A list of names for the alias, including the canonical name.
- *(string) --*
- **Type** *(string) --*
The type of the alias.
- **SummaryStatistics** *(dict) --*
Aggregated statistics for the service.
- **OkCount** *(integer) --*
The number of requests that completed with a 2xx Success status code.
- **ErrorStatistics** *(dict) --*
Information about requests that failed with a 4xx Client Error status code.
- **ThrottleCount** *(integer) --*
The number of requests that failed with a 419 throttling status code.
- **OtherCount** *(integer) --*
The number of requests that failed with untracked 4xx Client Error status codes.
- **TotalCount** *(integer) --*
The total number of requests that failed with a 4xx Client Error status code.
- **FaultStatistics** *(dict) --*
Information about requests that failed with a 5xx Server Error status code.
- **OtherCount** *(integer) --*
The number of requests that failed with untracked 5xx Server Error status codes.
- **TotalCount** *(integer) --*
The total number of requests that failed with a 5xx Server Error status code.
- **TotalCount** *(integer) --*
The total number of completed requests.
- **TotalResponseTime** *(float) --*
The aggregate response time of completed requests.
- **DurationHistogram** *(list) --*
A histogram that maps the spread of service durations.
- *(dict) --*
An entry in a histogram for a statistic. A histogram maps the range of observed values on the X axis, and the prevalence of each value on the Y axis.
- **Value** *(float) --*
The value of the entry.
- **Count** *(integer) --*
The prevalence of the entry.
- **ResponseTimeHistogram** *(list) --*
A histogram that maps the spread of service response times.
- *(dict) --*
An entry in a histogram for a statistic. A histogram maps the range of observed values on the X axis, and the prevalence of each value on the Y axis.
- **Value** *(float) --*
The value of the entry.
- **Count** *(integer) --*
The prevalence of the entry.
:type TraceIds: list
:param TraceIds: **[REQUIRED]**
Trace IDs of requests for which to generate a service graph.
- *(string) --*
:type PaginationConfig: dict
:param PaginationConfig:
A dictionary that provides parameters to control pagination.
- **MaxItems** *(integer) --*
The total number of items to return. If the total number of items available is more than the value specified in max-items then a ``NextToken`` will be provided in the output that you can use to resume pagination.
- **PageSize** *(integer) --*
The size of each page.
- **StartingToken** *(string) --*
A token to specify where to start paginating. This is the ``NextToken`` from a previous response.
:rtype: dict
:returns:
"""
pass
class GetTraceSummaries(Paginator):
def paginate(self, StartTime: datetime, EndTime: datetime, TimeRangeType: str = None, Sampling: bool = None, SamplingStrategy: Dict = None, FilterExpression: str = None, PaginationConfig: Dict = None) -> Dict:
"""
Creates an iterator that will paginate through responses from :py:meth:`XRay.Client.get_trace_summaries`.
See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/xray-2016-04-12/GetTraceSummaries>`_
**Request Syntax**
::
response_iterator = paginator.paginate(
StartTime=datetime(2015, 1, 1),
EndTime=datetime(2015, 1, 1),
TimeRangeType='TraceId'|'Event',
Sampling=True|False,
SamplingStrategy={
'Name': 'PartialScan'|'FixedRate',
'Value': 123.0
},
FilterExpression='string',
PaginationConfig={
'MaxItems': 123,
'PageSize': 123,
'StartingToken': 'string'
}
)
**Response Syntax**
::
{
'TraceSummaries': [
{
'Id': 'string',
'Duration': 123.0,
'ResponseTime': 123.0,
'HasFault': True|False,
'HasError': True|False,
'HasThrottle': True|False,
'IsPartial': True|False,
'Http': {
'HttpURL': 'string',
'HttpStatus': 123,
'HttpMethod': 'string',
'UserAgent': 'string',
'ClientIp': 'string'
},
'Annotations': {
'string': [
{
'AnnotationValue': {
'NumberValue': 123.0,
'BooleanValue': True|False,
'StringValue': 'string'
},
'ServiceIds': [
{
'Name': 'string',
'Names': [
'string',
],
'AccountId': 'string',
'Type': 'string'
},
]
},
]
},
'Users': [
{
'UserName': 'string',
'ServiceIds': [
{
'Name': 'string',
'Names': [
'string',
],
'AccountId': 'string',
'Type': 'string'
},
]
},
],
'ServiceIds': [
{
'Name': 'string',
'Names': [
'string',
],
'AccountId': 'string',
'Type': 'string'
},
],
'ResourceARNs': [
{
'ARN': 'string'
},
],
'InstanceIds': [
{
'Id': 'string'
},
],
'AvailabilityZones': [
{
'Name': 'string'
},
],
'EntryPoint': {
'Name': 'string',
'Names': [
'string',
],
'AccountId': 'string',
'Type': 'string'
},
'FaultRootCauses': [
{
'Services': [
{
'Name': 'string',
'Names': [
'string',
],
'Type': 'string',
'AccountId': 'string',
'EntityPath': [
{
'Name': 'string',
'Exceptions': [
{
'Name': 'string',
'Message': 'string'
},
],
'Remote': True|False
},
],
'Inferred': True|False
},
]
},
],
'ErrorRootCauses': [
{
'Services': [
{
'Name': 'string',
'Names': [
'string',
],
'Type': 'string',
'AccountId': 'string',
'EntityPath': [
{
'Name': 'string',
'Exceptions': [
{
'Name': 'string',
'Message': 'string'
},
],
'Remote': True|False
},
],
'Inferred': True|False
},
]
},
],
'ResponseTimeRootCauses': [
{
'Services': [
{
'Name': 'string',
'Names': [
'string',
],
'Type': 'string',
'AccountId': 'string',
'EntityPath': [
{
'Name': 'string',
'Coverage': 123.0,
'Remote': True|False
},
],
'Inferred': True|False
},
]
},
],
'Revision': 123,
'MatchedEventTime': datetime(2015, 1, 1)
},
],
'ApproximateTime': datetime(2015, 1, 1),
'TracesProcessedCount': 123,
}
**Response Structure**
- *(dict) --*
- **TraceSummaries** *(list) --*
Trace IDs and metadata for traces that were found in the specified time frame.
- *(dict) --*
Metadata generated from the segment documents in a trace.
- **Id** *(string) --*
The unique identifier for the request that generated the trace's segments and subsegments.
- **Duration** *(float) --*
The length of time in seconds between the start time of the root segment and the end time of the last segment that completed.
- **ResponseTime** *(float) --*
The length of time in seconds between the start and end times of the root segment. If the service performs work asynchronously, the response time measures the time before the response is sent to the user, while the duration measures the amount of time before the last traced activity completes.
- **HasFault** *(boolean) --*
One or more of the segment documents has a 500 series error.
- **HasError** *(boolean) --*
One or more of the segment documents has a 400 series error.
- **HasThrottle** *(boolean) --*
One or more of the segment documents has a 429 throttling error.
- **IsPartial** *(boolean) --*
One or more of the segment documents is in progress.
- **Http** *(dict) --*
Information about the HTTP request served by the trace.
- **HttpURL** *(string) --*
The request URL.
- **HttpStatus** *(integer) --*
The response status.
- **HttpMethod** *(string) --*
The request method.
- **UserAgent** *(string) --*
The request's user agent string.
- **ClientIp** *(string) --*
The IP address of the requestor.
- **Annotations** *(dict) --*
Annotations from the trace's segment documents.
- *(string) --*
- *(list) --*
- *(dict) --*
Information about a segment annotation.
- **AnnotationValue** *(dict) --*
Values of the annotation.
- **NumberValue** *(float) --*
Value for a Number annotation.
- **BooleanValue** *(boolean) --*
Value for a Boolean annotation.
- **StringValue** *(string) --*
Value for a String annotation.
- **ServiceIds** *(list) --*
Services to which the annotation applies.
- *(dict) --*
- **Name** *(string) --*
- **Names** *(list) --*
- *(string) --*
- **AccountId** *(string) --*
- **Type** *(string) --*
- **Users** *(list) --*
Users from the trace's segment documents.
- *(dict) --*
Information about a user recorded in segment documents.
- **UserName** *(string) --*
The user's name.
- **ServiceIds** *(list) --*
Services that the user's request hit.
- *(dict) --*
- **Name** *(string) --*
- **Names** *(list) --*
- *(string) --*
- **AccountId** *(string) --*
- **Type** *(string) --*
- **ServiceIds** *(list) --*
Service IDs from the trace's segment documents.
- *(dict) --*
- **Name** *(string) --*
- **Names** *(list) --*
- *(string) --*
- **AccountId** *(string) --*
- **Type** *(string) --*
- **ResourceARNs** *(list) --*
A list of resource ARNs for any resource corresponding to the trace segments.
- *(dict) --*
A list of resources ARNs corresponding to the segments in a trace.
- **ARN** *(string) --*
The ARN of a corresponding resource.
- **InstanceIds** *(list) --*
A list of EC2 instance IDs for any instance corresponding to the trace segments.
- *(dict) --*
A list of EC2 instance IDs corresponding to the segments in a trace.
- **Id** *(string) --*
The ID of a corresponding EC2 instance.
- **AvailabilityZones** *(list) --*
A list of availability zones for any zone corresponding to the trace segments.
- *(dict) --*
A list of availability zones corresponding to the segments in a trace.
- **Name** *(string) --*
The name of a corresponding availability zone.
- **EntryPoint** *(dict) --*
The root of a trace.
- **Name** *(string) --*
- **Names** *(list) --*
- *(string) --*
- **AccountId** *(string) --*
- **Type** *(string) --*
- **FaultRootCauses** *(list) --*
A collection of FaultRootCause structures corresponding to the the trace segments.
- *(dict) --*
The root cause information for a trace summary fault.
- **Services** *(list) --*
A list of corresponding services. A service identifies a segment and it contains a name, account ID, type, and inferred flag.
- *(dict) --*
A collection of fields identifying the services in a trace summary fault.
- **Name** *(string) --*
The service name.
- **Names** *(list) --*
A collection of associated service names.
- *(string) --*
- **Type** *(string) --*
The type associated to the service.
- **AccountId** *(string) --*
The account ID associated to the service.
- **EntityPath** *(list) --*
The path of root cause entities found on the service.
- *(dict) --*
A collection of segments and corresponding subsegments associated to a trace summary fault error.
- **Name** *(string) --*
The name of the entity.
- **Exceptions** *(list) --*
The types and messages of the exceptions.
- *(dict) --*
The exception associated with a root cause.
- **Name** *(string) --*
The name of the exception.
- **Message** *(string) --*
The message of the exception.
- **Remote** *(boolean) --*
A flag that denotes a remote subsegment.
- **Inferred** *(boolean) --*
A Boolean value indicating if the service is inferred from the trace.
- **ErrorRootCauses** *(list) --*
A collection of ErrorRootCause structures corresponding to the trace segments.
- *(dict) --*
The root cause of a trace summary error.
- **Services** *(list) --*
A list of services corresponding to an error. A service identifies a segment and it contains a name, account ID, type, and inferred flag.
- *(dict) --*
A collection of fields identifying the services in a trace summary error.
- **Name** *(string) --*
The service name.
- **Names** *(list) --*
A collection of associated service names.
- *(string) --*
- **Type** *(string) --*
The type associated to the service.
- **AccountId** *(string) --*
The account ID associated to the service.
- **EntityPath** *(list) --*
The path of root cause entities found on the service.
- *(dict) --*
A collection of segments and corresponding subsegments associated to a trace summary error.
- **Name** *(string) --*
The name of the entity.
- **Exceptions** *(list) --*
The types and messages of the exceptions.
- *(dict) --*
The exception associated with a root cause.
- **Name** *(string) --*
The name of the exception.
- **Message** *(string) --*
The message of the exception.
- **Remote** *(boolean) --*
A flag that denotes a remote subsegment.
- **Inferred** *(boolean) --*
A Boolean value indicating if the service is inferred from the trace.
- **ResponseTimeRootCauses** *(list) --*
A collection of ResponseTimeRootCause structures corresponding to the trace segments.
- *(dict) --*
The root cause information for a response time warning.
- **Services** *(list) --*
A list of corresponding services. A service identifies a segment and contains a name, account ID, type, and inferred flag.
- *(dict) --*
A collection of fields identifying the service in a response time warning.
- **Name** *(string) --*
The service name.
- **Names** *(list) --*
A collection of associated service names.
- *(string) --*
- **Type** *(string) --*
The type associated to the service.
- **AccountId** *(string) --*
The account ID associated to the service.
- **EntityPath** *(list) --*
The path of root cause entities found on the service.
- *(dict) --*
A collection of segments and corresponding subsegments associated to a response time warning.
- **Name** *(string) --*
The name of the entity.
- **Coverage** *(float) --*
The types and messages of the exceptions.
- **Remote** *(boolean) --*
A flag that denotes a remote subsegment.
- **Inferred** *(boolean) --*
A Boolean value indicating if the service is inferred from the trace.
- **Revision** *(integer) --*
The revision number of a trace.
- **MatchedEventTime** *(datetime) --*
The matched time stamp of a defined event.
- **ApproximateTime** *(datetime) --*
The start time of this page of results.
- **TracesProcessedCount** *(integer) --*
The total number of traces processed, including traces that did not match the specified filter expression.
:type StartTime: datetime
:param StartTime: **[REQUIRED]**
The start of the time frame for which to retrieve traces.
:type EndTime: datetime
:param EndTime: **[REQUIRED]**
The end of the time frame for which to retrieve traces.
:type TimeRangeType: string
:param TimeRangeType:
A parameter to indicate whether to query trace summaries by TraceId or Event time.
:type Sampling: boolean
:param Sampling:
Set to ``true`` to get summaries for only a subset of available traces.
:type SamplingStrategy: dict
:param SamplingStrategy:
A paramater to indicate whether to enable sampling on trace summaries. Input parameters are Name and Value.
- **Name** *(string) --*
The name of a sampling rule.
- **Value** *(float) --*
The value of a sampling rule.
:type FilterExpression: string
:param FilterExpression:
Specify a filter expression to retrieve trace summaries for services or requests that meet certain requirements.
:type PaginationConfig: dict
:param PaginationConfig:
A dictionary that provides parameters to control pagination.
- **MaxItems** *(integer) --*
The total number of items to return. If the total number of items available is more than the value specified in max-items then a ``NextToken`` will be provided in the output that you can use to resume pagination.
- **PageSize** *(integer) --*
The size of each page.
- **StartingToken** *(string) --*
A token to specify where to start paginating. This is the ``NextToken`` from a previous response.
:rtype: dict
:returns:
"""
pass
| 52.168097 | 312 | 0.424717 | 5,652 | 72,931 | 5.473992 | 0.086695 | 0.012282 | 0.024435 | 0.029865 | 0.778338 | 0.76402 | 0.74495 | 0.73047 | 0.721484 | 0.710721 | 0 | 0.015756 | 0.484814 | 72,931 | 1,397 | 313 | 52.20544 | 0.807681 | 0.83084 | 0 | 0.464286 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.285714 | false | 0.285714 | 0.142857 | 0 | 0.714286 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 8 |
2ebe78b681e37f22335f2134f082b519a403975e | 334,292 | py | Python | parser/team06/parsetab.py | Otzoy97/tytus | 66e538f8fb26e709461389bff81ee650364b66f7 | [
"MIT"
] | 1 | 2020-12-10T03:52:33.000Z | 2020-12-10T03:52:33.000Z | parser/team06/parsetab.py | vkslax/tytus | 6eed4139628ede6fa5cfb46ca7437199db4134c4 | [
"MIT"
] | null | null | null | parser/team06/parsetab.py | vkslax/tytus | 6eed4139628ede6fa5cfb46ca7437199db4134c4 | [
"MIT"
] | 1 | 2021-01-05T18:31:17.000Z | 2021-01-05T18:31:17.000Z |
# parsetab.py
# This file is automatically generated. Do not edit.
# pylint: disable=W,C,R
_tabversion = '3.10'
_lr_method = 'LALR'
_lr_signature = 'leftTYPECASTrightUMINUSrightUNOTleftMASMENOSleftPOTENCIAleftPORDIVRESIDUOleftANDORSIMBOLOOR2SIMBOLOORSIMBOLOAND2leftDESPLAZAMIENTOIZQUIERDADESPLAZAMIENTODERECHAABS ACOS ACOSD ACOSH ADD ALL ALTER AND ANY AS ASC ASIN ASIND ASINH ATAN ATAN2 ATAN2D ATAND ATANH AUTO_INCREMENT AVG BEGIN BETWEEN BIGINT BOOLEAN BOTH BY CADENA CASE CBRT CEIL CEILING CHAR CHARACTER CHECK COLOCHO COLUMN COLUMNS COMA CONCAT CONSTRAINT CONT CONVERT CORCHETEDER CORCHETEIZQ COS COSD COSH COT COTD CREATE CURRENT_USER DATABASE DATABASES DATE DAY DECIMAL DECIMALTOKEN DECLARE DECODE DEFAULT DEGREES DELETE DESC DESPLAZAMIENTODERECHA DESPLAZAMIENTOIZQUIERDA DIFERENTE DISTINCT DIV DIV DOSPUNTOS DOUBLE DROP ELSE ENCODE END ENTERO ENUM ENUM ESCAPE ETIQUETA EXCEPT EXISTS EXP FACTORIAL FALSE FIRST FLOOR FOR FOREIGN FROM FULL FUNCTION GCD GET_BYTE GREATEST GROUP HAVING HOUR ID IF IGUAL IGUALIGUAL ILIKE IN INHERITS INNER INSERT INTEGER INTERSECT INTERVAL INTO IS ISNULL JOIN KEY LAST LCM LEADING LEAST LEFT LENGTH LIKE LIMIT LN LOG LOG10 MAS MAX MAYOR MAYORIGUAL MD5 MENOR MENORIGUAL MENOS MIN MINUTE MIN_SCALE MOD MODE MONEY MONTH NATURAL NOT NOTEQUAL NOTNULL NOW NULL NULLS NUMERAL NUMERIC OF OFFSET ON ONLY OR ORDER OUTER OWNER PARENTESISDERECHA PARENTESISIZQUIERDA PI POR POTENCIA POWER PRECISION PRIMARY PUNTO PUNTOYCOMA RADIANS RANDOM REAL REFERENCES RENAME REPLACE RESIDUO RETURNING RETURNS RIGHT ROUND SCALE SECOND SELECT SESSION_USER SET SETSEED SET_BYTE SHA256 SHOW SIGN SIMBOLOAND SIMBOLOAND2 SIMBOLOOR SIMBOLOOR2 SIN SIND SINH SMALLINT SOME SQRT SUBSTR SUBSTRING SUM SYMMETRIC TABLE TABLES TAN TAND TANH TEXT THEN TIME TIMESTAMP TO TRAILING TRIM TRIM_SCALE TRUE TRUNC TYPE TYPECAST UNION UNIQUE UNKNOWN UPDATE UPPER USE USING VALUES VARCHAR VARYING VIEW WHEN WHERE WIDTH_BUCKET YEARinicio : queriesqueries : queries queryqueries : queryquery : mostrarBD\n | crearBD\n | alterBD\n | dropBD\n | useBD\n | operacion\n | insertinBD\n | updateinBD\n | deleteinBD\n | createTable\n | inheritsBD\n | dropTable\n | alterTable\n | variantesAt\n | contAdd\n | contDrop\n | contAlter\n | listaid\n | tipoAlter \n | selectData PUNTOYCOMA\n | tipos\n crearBD : CREATE DATABASE ID PUNTOYCOMAcrearBD : CREATE DATABASE IF NOT EXISTS ID PUNTOYCOMAcrearBD : CREATE OR REPLACE DATABASE ID PUNTOYCOMAcrearBD : CREATE OR REPLACE DATABASE IF NOT EXISTS ID PUNTOYCOMAcrearBD : CREATE DATABASE ID parametrosCrearBD PUNTOYCOMAcrearBD : CREATE DATABASE IF NOT EXISTS ID parametrosCrearBD PUNTOYCOMAcrearBD : CREATE OR REPLACE DATABASE ID parametrosCrearBD PUNTOYCOMAcrearBD : CREATE OR REPLACE DATABASE IF NOT EXISTS ID parametrosCrearBD PUNTOYCOMAparametrosCrearBD : parametrosCrearBD parametroCrearBDparametrosCrearBD : parametroCrearBDparametroCrearBD : OWNER IGUAL final\n | MODE IGUAL final\n useBD : USE ID PUNTOYCOMAmostrarBD : SHOW DATABASES PUNTOYCOMAalterBD : ALTER DATABASE ID RENAME TO ID PUNTOYCOMAalterBD : ALTER DATABASE ID OWNER TO parametroAlterUser PUNTOYCOMA parametroAlterUser : CURRENT_USER \n parametroAlterUser : SESSION_USER\n parametroAlterUser : final dropTable : DROP TABLE ID PUNTOYCOMA\n alterTable : ALTER TABLE ID variantesAt PUNTOYCOMA\n\n \n variantesAt : ADD contAdd\n | ALTER contAlter\n | DROP contDrop\n \n listaContAlter : listaContAlter COMA contAlter \n \n listaContAlter : contAlter\n \n contAlter : COLUMN ID SET NOT NULL \n | COLUMN ID TYPE tipo\n \n contAdd : COLUMN ID tipo \n | CHECK PARENTESISIZQUIERDA operacion PARENTESISDERECHA\n | FOREIGN KEY PARENTESISIZQUIERDA ID PARENTESISDERECHA REFERENCES ID\n | PRIMARY KEY PARENTESISIZQUIERDA ID PARENTESISDERECHA\n | CONSTRAINT ID FOREIGN KEY PARENTESISIZQUIERDA ID PARENTESISDERECHA REFERENCES ID PARENTESISIZQUIERDA ID PARENTESISDERECHA\n | CONSTRAINT ID PRIMARY KEY PARENTESISIZQUIERDA ID PARENTESISDERECHA\n | CONSTRAINT ID UNIQUE PARENTESISIZQUIERDA ID PARENTESISDERECHA\n \n contDrop : COLUMN ID \n | CONSTRAINT ID\n | PRIMARY KEY\n \n listaid : listaid COMA ID\n \n listaid : ID\n \n tipoAlter : ADD \n | DROP\n dropBD : DROP DATABASE ID PUNTOYCOMAdropBD : DROP DATABASE IF EXISTS ID PUNTOYCOMAoperacion : operacion MAS operacion\n | operacion MENOS operacion\n | operacion POR operacion\n | operacion DIV operacion\n | operacion RESIDUO operacion\n | operacion POTENCIA operacion\n | operacion AND operacion\n | operacion OR operacion\n | operacion SIMBOLOOR2 operacion\n | operacion SIMBOLOOR operacion\n | operacion SIMBOLOAND2 operacion\n | operacion DESPLAZAMIENTOIZQUIERDA operacion\n | operacion DESPLAZAMIENTODERECHA operacion\n | operacion IGUAL operacion\n | operacion IGUALIGUAL operacion\n | operacion NOTEQUAL operacion\n | operacion MAYORIGUAL operacion\n | operacion MENORIGUAL operacion\n | operacion MAYOR operacion\n | operacion MENOR operacion\n | operacion DIFERENTE operacion\n | PARENTESISIZQUIERDA operacion PARENTESISDERECHA \n operacion : MENOS ENTERO %prec UMINUSoperacion : MENOS DECIMAL %prec UMINUSoperacion : NOT operacion %prec UNOToperacion : funcionBasicaoperacion : finalfuncionBasica : ABS PARENTESISIZQUIERDA operacion PARENTESISDERECHA\n | CBRT PARENTESISIZQUIERDA operacion PARENTESISDERECHA\n | CEIL PARENTESISIZQUIERDA operacion PARENTESISDERECHA\n | CEILING PARENTESISIZQUIERDA operacion PARENTESISDERECHA\n | DEGREES PARENTESISIZQUIERDA operacion PARENTESISDERECHA\n | DIV PARENTESISIZQUIERDA operacion COMA operacion PARENTESISDERECHA\n | EXP PARENTESISIZQUIERDA operacion PARENTESISDERECHA\n | FACTORIAL PARENTESISIZQUIERDA operacion PARENTESISDERECHA\n | FLOOR PARENTESISIZQUIERDA operacion PARENTESISDERECHA\n | GCD PARENTESISIZQUIERDA operacion COMA operacion PARENTESISDERECHA\n | LCM PARENTESISIZQUIERDA operacion COMA operacion PARENTESISDERECHA\n | LN PARENTESISIZQUIERDA operacion PARENTESISDERECHA\n | LOG PARENTESISIZQUIERDA operacion PARENTESISDERECHA\n | MOD PARENTESISIZQUIERDA operacion COMA operacion PARENTESISDERECHA\n | PI PARENTESISIZQUIERDA PARENTESISDERECHA\n | POWER PARENTESISIZQUIERDA operacion COMA operacion PARENTESISDERECHA\n | RADIANS PARENTESISIZQUIERDA operacion PARENTESISDERECHA\n | ROUND PARENTESISIZQUIERDA operacion PARENTESISDERECHA \n | SIGN PARENTESISIZQUIERDA operacion PARENTESISDERECHA\n | SQRT PARENTESISIZQUIERDA operacion PARENTESISDERECHA\n | TRIM_SCALE PARENTESISIZQUIERDA operacion PARENTESISDERECHA\n | TRUNC PARENTESISIZQUIERDA operacion PARENTESISDERECHA\n | WIDTH_BUCKET PARENTESISIZQUIERDA operacion COMA operacion COMA operacion COMA operacion PARENTESISDERECHA\n | RANDOM PARENTESISIZQUIERDA PARENTESISDERECHA\n \n \n | ACOS PARENTESISIZQUIERDA operacion PARENTESISDERECHA\n | ACOSD PARENTESISIZQUIERDA operacion PARENTESISDERECHA\n | ASIN PARENTESISIZQUIERDA operacion PARENTESISDERECHA\n | ASIND PARENTESISIZQUIERDA operacion PARENTESISDERECHA \n | ATAN PARENTESISIZQUIERDA operacion PARENTESISDERECHA\n | ATAND PARENTESISIZQUIERDA operacion PARENTESISDERECHA\n | ATAN2 PARENTESISIZQUIERDA operacion COMA operacion PARENTESISDERECHA\n | ATAN2D PARENTESISIZQUIERDA operacion COMA operacion PARENTESISDERECHA\n \n\n | COS PARENTESISIZQUIERDA operacion PARENTESISDERECHA\n\t\t\t | COSD PARENTESISIZQUIERDA operacion PARENTESISDERECHA\n | COT PARENTESISIZQUIERDA operacion PARENTESISDERECHA\n | COTD PARENTESISIZQUIERDA operacion PARENTESISDERECHA\n | SIN PARENTESISIZQUIERDA operacion PARENTESISDERECHA\n | SIND PARENTESISIZQUIERDA operacion PARENTESISDERECHA\n | TAN PARENTESISIZQUIERDA operacion PARENTESISDERECHA\n | TAND PARENTESISIZQUIERDA operacion PARENTESISDERECHA\n | SINH PARENTESISIZQUIERDA operacion PARENTESISDERECHA\n | GREATEST PARENTESISIZQUIERDA select_list PARENTESISDERECHA\n | LEAST PARENTESISIZQUIERDA select_list PARENTESISDERECHA\n | NOW PARENTESISIZQUIERDA PARENTESISDERECHA\n\n\n | COSH PARENTESISIZQUIERDA operacion PARENTESISDERECHA\n | TANH PARENTESISIZQUIERDA operacion PARENTESISDERECHA\n | ASINH PARENTESISIZQUIERDA operacion PARENTESISDERECHA\n | ACOSH PARENTESISIZQUIERDA operacion PARENTESISDERECHA\n | ATANH PARENTESISIZQUIERDA operacion PARENTESISDERECHA\n | LENGTH PARENTESISIZQUIERDA operacion PARENTESISDERECHA\n | TRIM PARENTESISIZQUIERDA opcionTrim operacion FROM operacion PARENTESISDERECHA\n | GET_BYTE PARENTESISIZQUIERDA operacion COMA operacion PARENTESISDERECHA\n | MD5 PARENTESISIZQUIERDA operacion PARENTESISDERECHA\n | SET_BYTE PARENTESISIZQUIERDA operacion COMA operacion COMA operacion PARENTESISDERECHA\n | SHA256 PARENTESISIZQUIERDA operacion PARENTESISDERECHA \n | SUBSTR PARENTESISIZQUIERDA operacion COMA operacion COMA operacion PARENTESISDERECHA\n | CONVERT PARENTESISIZQUIERDA operacion COMA operacion COMA operacion PARENTESISDERECHA\n | ENCODE PARENTESISIZQUIERDA operacion COMA operacion PARENTESISDERECHA\n | DECODE PARENTESISIZQUIERDA operacion COMA operacion PARENTESISDERECHA\n | AVG PARENTESISIZQUIERDA operacion PARENTESISDERECHA\n | SUM PARENTESISIZQUIERDA operacion PARENTESISDERECHA\n | ID PARENTESISIZQUIERDA opcionTiempo FROM TIMESTAMP operacion PARENTESISDERECHA\n | ID PARENTESISIZQUIERDA operacion COMA INTERVAL operacion PARENTESISDERECHA\n | ID PARENTESISIZQUIERDA operacion PARENTESISDERECHA\n funcionBasica : SUBSTRING PARENTESISIZQUIERDA operacion FROM operacion FOR operacion PARENTESISDERECHAfuncionBasica : SUBSTRING PARENTESISIZQUIERDA operacion FROM operacion PARENTESISDERECHAfuncionBasica : SUBSTRING PARENTESISIZQUIERDA operacion FOR operacion PARENTESISDERECHA opcionTrim : LEADING\n | TRAILING\n | BOTH\n opcionTiempo : YEAR\n | MONTH\n | DAY\n | HOUR\n | MINUTE\n | SECOND\n final : DECIMALfinal : ENTEROfinal : IDfinal : ID PUNTO IDfinal : CADENAinsertinBD : INSERT INTO ID VALUES PARENTESISIZQUIERDA listaParam PARENTESISDERECHA PUNTOYCOMAinsertinBD : INSERT INTO ID PARENTESISIZQUIERDA listaParam PARENTESISDERECHA VALUES PARENTESISIZQUIERDA listaParam PARENTESISDERECHA PUNTOYCOMAlistaParam : listaParam COMA finallistaParam : finalupdateinBD : UPDATE ID SET asignaciones WHERE asignaciones PUNTOYCOMAasignaciones : asignaciones COMA asignaasignaciones : asignaasigna : ID IGUAL operaciondeleteinBD : DELETE FROM ID PUNTOYCOMAdeleteinBD : DELETE FROM ID WHERE operacion PUNTOYCOMAinheritsBD : CREATE TABLE ID PARENTESISIZQUIERDA creaColumnas PARENTESISDERECHA INHERITS PARENTESISIZQUIERDA ID PARENTESISDERECHA PUNTOYCOMAcreateTable : CREATE TABLE ID PARENTESISIZQUIERDA creaColumnas PARENTESISDERECHA PUNTOYCOMAcreaColumnas : creaColumnas COMA ColumnacreaColumnas : ColumnaColumna : ID tipoColumna : ID tipo paramOpcionalColumna : UNIQUE PARENTESISIZQUIERDA listaParam PARENTESISDERECHAColumna : constraintcheckColumna : checkinColumnColumna : primaryKeyColumna : foreignKeyparamOpcional : paramOpcional paramopcparamOpcional : paramopcparamopc : DEFAULT final\n | NULL\n | NOT NULL\n | UNIQUE\n | PRIMARY KEY\n paramopc : constraintcheckparamopc : checkinColumnparamopc : CONSTRAINT ID UNIQUEcheckinColumn : CHECK PARENTESISIZQUIERDA operacion PARENTESISDERECHAconstraintcheck : CONSTRAINT ID CHECK PARENTESISIZQUIERDA operacion PARENTESISDERECHAprimaryKey : PRIMARY KEY PARENTESISIZQUIERDA listaParam PARENTESISDERECHAforeignKey : FOREIGN KEY PARENTESISIZQUIERDA listaParam PARENTESISDERECHA REFERENCES ID PARENTESISIZQUIERDA listaParam PARENTESISDERECHAtipo : SMALLINT\n | INTEGER\n | BIGINT\n | DECIMAL\n | NUMERIC\n | REAL\n | DOUBLE PRECISION\n | MONEY\n | VARCHAR PARENTESISIZQUIERDA ENTERO PARENTESISDERECHA\n | CHARACTER VARYING PARENTESISIZQUIERDA ENTERO PARENTESISDERECHA\n | CHARACTER PARENTESISIZQUIERDA ENTERO PARENTESISDERECHA\n | CHAR PARENTESISIZQUIERDA ENTERO PARENTESISDERECHA\n | TEXT\n | BOOLEAN\n | TIMESTAMP\n | TIME\n | INTERVAL\n | DATE\n | YEAR\n | MONTH \n | DAY\n | HOUR \n | MINUTE\n | SECOND\n selectData : SELECT select_list FROM select_list WHERE search_condition opcionesSelect \n | SELECT POR FROM select_list WHERE search_condition opcionesSelect \n selectData : SELECT select_list FROM select_list WHERE search_condition \n | SELECT POR FROM select_list WHERE search_condition \n selectData : SELECT select_list FROM select_list \n | SELECT POR FROM select_list \n selectData : SELECT select_list \n opcionesSelect : opcionesSelect opcionSelect\n opcionesSelect : opcionSelect\n opcionSelect : LIMIT operacion\n | GROUP BY select_list\n | HAVING select_list\n | ORDER BY select_list \n opcionSelect : LIMIT operacion OFFSET operacion\n | ORDER BY select_list ordenamiento \n ordenamiento : ASC\n | DESC search_condition : final NOT IN PARENTESISIZQUIERDA selectData PARENTESISDERECHAsearch_condition : operacionsearch_condition : PARENTESISIZQUIERDA search_condition PARENTESISDERECHA select_list : select_list COMA operacion select_list : select_list COMA asignacion select_list : asignacionselect_list : operacion asignacion : operacion AS operacion asignacion : final finalfuncionBasica : operacion BETWEEN operacion funcionBasica : operacion LIKE CADENAfuncionBasica : operacion IN PARENTESISIZQUIERDA select_list PARENTESISDERECHA funcionBasica : operacion NOT BETWEEN operacionfuncionBasica : operacion BETWEEN SYMMETRIC operacion funcionBasica : operacion NOT BETWEEN SYMMETRIC operacion funcionBasica : operacion IS DISTINCT FROM operacion funcionBasica : operacion IS NOT DISTINCT FROM operaciontipos : CREATE TYPE final AS ENUM PARENTESISIZQUIERDA select_list PARENTESISDERECHA PUNTOYCOMA'
_lr_action_items = 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_lr_action = {}
for _k, _v in _lr_action_items.items():
for _x,_y in zip(_v[0],_v[1]):
if not _x in _lr_action: _lr_action[_x] = {}
_lr_action[_x][_k] = _y
del _lr_action_items
_lr_goto_items = {'inicio':([0,],[1,]),'queries':([0,],[2,]),'query':([0,2,],[3,111,]),'mostrarBD':([0,2,],[4,4,]),'crearBD':([0,2,],[5,5,]),'alterBD':([0,2,],[6,6,]),'dropBD':([0,2,],[7,7,]),'useBD':([0,2,],[8,8,]),'operacion':([0,2,28,34,48,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,145,162,172,182,183,184,185,186,187,188,189,190,191,192,193,194,196,197,198,199,200,201,202,203,205,206,207,208,209,210,211,212,213,214,215,216,217,218,219,220,221,222,223,225,226,227,228,229,230,232,233,234,235,236,237,238,239,240,241,242,265,267,268,338,339,340,341,392,410,411,434,441,469,470,473,474,481,488,489,508,510,512,513,514,515,518,519,523,544,545,554,568,569,577,598,601,628,635,640,641,642,645,685,687,708,718,720,723,738,],[9,9,147,163,178,243,244,245,246,247,248,249,250,251,252,253,254,255,256,257,258,259,260,261,262,263,264,280,298,332,343,344,345,346,347,348,349,350,351,352,353,354,355,357,358,359,360,361,362,363,364,366,367,368,369,370,371,372,373,374,375,376,377,378,379,380,381,382,178,178,386,387,388,389,390,391,396,397,398,399,400,401,402,403,404,405,406,407,178,409,178,456,178,460,507,521,522,550,557,570,571,572,573,574,575,576,578,579,580,581,582,583,584,585,586,602,603,614,629,629,638,667,178,691,693,695,696,697,698,717,178,732,178,178,742,749,]),'insertinBD':([0,2,],[10,10,]),'updateinBD':([0,2,],[11,11,]),'deleteinBD':([0,2,],[12,12,]),'createTable':([0,2,],[13,13,]),'inheritsBD':([0,2,],[14,14,]),'dropTable':([0,2,],[15,15,]),'alterTable':([0,2,],[16,16,]),'variantesAt':([0,2,289,],[17,17,428,]),'contAdd':([0,2,42,429,],[18,18,167,167,]),'contDrop':([0,2,30,430,],[19,19,155,155,]),'contAlter':([0,2,29,427,],[20,20,151,151,]),'listaid':([0,2,],[21,21,]),'tipoAlter':([0,2,],[22,22,]),'selectData':([0,2,741,],[23,23,753,]),'tipos':([0,2,],[24,24,]),'funcionBasica':([0,2,28,34,48,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,145,162,172,182,183,184,185,186,187,188,189,190,191,192,193,194,196,197,198,199,200,201,202,203,205,206,207,208,209,210,211,212,213,214,215,216,217,218,219,220,221,222,223,225,226,227,228,229,230,232,233,234,235,236,237,238,239,240,241,242,265,267,268,338,339,340,341,392,410,411,434,441,469,470,473,474,481,488,489,508,510,512,513,514,515,518,519,523,544,545,554,568,569,577,598,601,628,635,640,641,642,645,685,687,708,718,720,723,738,],[37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,37,]),'final':([0,2,28,34,48,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,144,145,162,172,180,182,183,184,185,186,187,188,189,190,191,192,193,194,196,197,198,199,200,201,202,203,205,206,207,208,209,210,211,212,213,214,215,216,217,218,219,220,221,222,223,225,226,227,228,229,230,232,233,234,235,236,237,238,239,240,241,242,265,267,268,338,339,340,341,392,410,411,434,436,441,458,469,470,473,474,481,488,489,508,510,512,513,514,515,518,519,523,526,527,544,545,547,551,554,568,569,577,596,598,601,613,628,635,640,641,642,645,654,668,669,685,687,708,714,718,720,723,738,760,],[38,38,38,38,180,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,277,38,38,38,342,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,180,180,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,180,38,180,458,180,38,38,38,38,38,553,38,342,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,587,588,38,38,608,553,38,627,627,38,553,38,180,677,627,38,38,38,38,38,702,553,553,38,180,38,553,180,180,38,38,553,]),'select_list':([48,222,223,267,338,340,601,687,718,720,],[176,383,384,408,455,459,670,719,739,740,]),'asignacion':([48,222,223,267,338,339,340,601,687,718,720,],[179,179,179,179,179,457,179,179,179,179,179,]),'opcionTiempo':([145,],[279,]),'tipo':([171,303,308,531,],[306,306,443,593,]),'opcionTrim':([231,],[392,]),'parametrosCrearBD':([273,529,589,700,],[414,591,649,729,]),'parametroCrearBD':([273,414,529,589,591,649,700,729,],[415,525,415,415,525,525,415,525,]),'asignaciones':([301,555,],[438,615,]),'asigna':([301,555,556,],[439,439,616,]),'creaColumnas':([420,],[532,]),'Columna':([420,595,],[533,664,]),'constraintcheck':([420,593,595,652,],[535,659,535,659,]),'checkinColumn':([420,593,595,652,],[536,660,536,660,]),'primaryKey':([420,595,],[537,537,]),'foreignKey':([420,595,],[538,538,]),'listaParam':([436,551,596,668,669,714,760,],[552,611,665,710,711,736,762,]),'parametroAlterUser':([547,],[605,]),'search_condition':([568,569,628,],[626,630,690,]),'paramOpcional':([593,],[652,]),'paramopc':([593,652,],[653,701,]),'opcionesSelect':([626,630,],[683,692,]),'opcionSelect':([626,630,683,692,],[684,684,716,716,]),'ordenamiento':([740,],[750,]),}
_lr_goto = {}
for _k, _v in _lr_goto_items.items():
for _x, _y in zip(_v[0], _v[1]):
if not _x in _lr_goto: _lr_goto[_x] = {}
_lr_goto[_x][_k] = _y
del _lr_goto_items
_lr_productions = [
("S' -> inicio","S'",1,None,None,None),
('inicio -> queries','inicio',1,'p_inicio_1','gramaticaAscendenteTree.py',416),
('queries -> queries query','queries',2,'p_queries_1','gramaticaAscendenteTree.py',427),
('queries -> query','queries',1,'p_queries_2','gramaticaAscendenteTree.py',440),
('query -> mostrarBD','query',1,'p_query','gramaticaAscendenteTree.py',451),
('query -> crearBD','query',1,'p_query','gramaticaAscendenteTree.py',452),
('query -> alterBD','query',1,'p_query','gramaticaAscendenteTree.py',453),
('query -> dropBD','query',1,'p_query','gramaticaAscendenteTree.py',454),
('query -> useBD','query',1,'p_query','gramaticaAscendenteTree.py',455),
('query -> operacion','query',1,'p_query','gramaticaAscendenteTree.py',456),
('query -> insertinBD','query',1,'p_query','gramaticaAscendenteTree.py',457),
('query -> updateinBD','query',1,'p_query','gramaticaAscendenteTree.py',458),
('query -> deleteinBD','query',1,'p_query','gramaticaAscendenteTree.py',459),
('query -> createTable','query',1,'p_query','gramaticaAscendenteTree.py',460),
('query -> inheritsBD','query',1,'p_query','gramaticaAscendenteTree.py',461),
('query -> dropTable','query',1,'p_query','gramaticaAscendenteTree.py',462),
('query -> alterTable','query',1,'p_query','gramaticaAscendenteTree.py',463),
('query -> variantesAt','query',1,'p_query','gramaticaAscendenteTree.py',464),
('query -> contAdd','query',1,'p_query','gramaticaAscendenteTree.py',465),
('query -> contDrop','query',1,'p_query','gramaticaAscendenteTree.py',466),
('query -> contAlter','query',1,'p_query','gramaticaAscendenteTree.py',467),
('query -> listaid','query',1,'p_query','gramaticaAscendenteTree.py',468),
('query -> tipoAlter','query',1,'p_query','gramaticaAscendenteTree.py',469),
('query -> selectData PUNTOYCOMA','query',2,'p_query','gramaticaAscendenteTree.py',470),
('query -> tipos','query',1,'p_query','gramaticaAscendenteTree.py',471),
('crearBD -> CREATE DATABASE ID PUNTOYCOMA','crearBD',4,'p_crearBaseDatos_1','gramaticaAscendenteTree.py',489),
('crearBD -> CREATE DATABASE IF NOT EXISTS ID PUNTOYCOMA','crearBD',7,'p_crearBaseDatos_2','gramaticaAscendenteTree.py',512),
('crearBD -> CREATE OR REPLACE DATABASE ID PUNTOYCOMA','crearBD',6,'p_crear_replace_BaseDatos_1','gramaticaAscendenteTree.py',549),
('crearBD -> CREATE OR REPLACE DATABASE IF NOT EXISTS ID PUNTOYCOMA','crearBD',9,'p_crear_replace_BaseDatos_2','gramaticaAscendenteTree.py',582),
('crearBD -> CREATE DATABASE ID parametrosCrearBD PUNTOYCOMA','crearBD',5,'p_crear_param_BaseDatos_1','gramaticaAscendenteTree.py',630),
('crearBD -> CREATE DATABASE IF NOT EXISTS ID parametrosCrearBD PUNTOYCOMA','crearBD',8,'p_crear_param_BaseDatos_2','gramaticaAscendenteTree.py',655),
('crearBD -> CREATE OR REPLACE DATABASE ID parametrosCrearBD PUNTOYCOMA','crearBD',7,'p_crear_replace_param_BaseDatos_1','gramaticaAscendenteTree.py',695),
('crearBD -> CREATE OR REPLACE DATABASE IF NOT EXISTS ID parametrosCrearBD PUNTOYCOMA','crearBD',10,'p_crear_replace_param_BaseDatos_2','gramaticaAscendenteTree.py',730),
('parametrosCrearBD -> parametrosCrearBD parametroCrearBD','parametrosCrearBD',2,'p_parametrosCrearBD_1','gramaticaAscendenteTree.py',780),
('parametrosCrearBD -> parametroCrearBD','parametrosCrearBD',1,'p_parametrosCrearBD_2','gramaticaAscendenteTree.py',792),
('parametroCrearBD -> OWNER IGUAL final','parametroCrearBD',3,'p_parametroCrearBD','gramaticaAscendenteTree.py',802),
('parametroCrearBD -> MODE IGUAL final','parametroCrearBD',3,'p_parametroCrearBD','gramaticaAscendenteTree.py',803),
('useBD -> USE ID PUNTOYCOMA','useBD',3,'p_usarBaseDatos','gramaticaAscendenteTree.py',833),
('mostrarBD -> SHOW DATABASES PUNTOYCOMA','mostrarBD',3,'p_mostrarBD','gramaticaAscendenteTree.py',850),
('alterBD -> ALTER DATABASE ID RENAME TO ID PUNTOYCOMA','alterBD',7,'p_alterBD_1','gramaticaAscendenteTree.py',867),
('alterBD -> ALTER DATABASE ID OWNER TO parametroAlterUser PUNTOYCOMA','alterBD',7,'p_alterBD_2','gramaticaAscendenteTree.py',904),
('parametroAlterUser -> CURRENT_USER','parametroAlterUser',1,'p_parametroAlterUser_1','gramaticaAscendenteTree.py',939),
('parametroAlterUser -> SESSION_USER','parametroAlterUser',1,'p_parametroAlterUser_2','gramaticaAscendenteTree.py',953),
('parametroAlterUser -> final','parametroAlterUser',1,'p_parametroAlterUser_3','gramaticaAscendenteTree.py',967),
('dropTable -> DROP TABLE ID PUNTOYCOMA','dropTable',4,'p_dropTable','gramaticaAscendenteTree.py',977),
('alterTable -> ALTER TABLE ID variantesAt PUNTOYCOMA','alterTable',5,'p_alterTable','gramaticaAscendenteTree.py',989),
('variantesAt -> ADD contAdd','variantesAt',2,'p_variantesAt','gramaticaAscendenteTree.py',1007),
('variantesAt -> ALTER contAlter','variantesAt',2,'p_variantesAt','gramaticaAscendenteTree.py',1008),
('variantesAt -> DROP contDrop','variantesAt',2,'p_variantesAt','gramaticaAscendenteTree.py',1009),
('listaContAlter -> listaContAlter COMA contAlter','listaContAlter',3,'p_listaContAlter','gramaticaAscendenteTree.py',1021),
('listaContAlter -> contAlter','listaContAlter',1,'p_listaContAlter_2','gramaticaAscendenteTree.py',1027),
('contAlter -> COLUMN ID SET NOT NULL','contAlter',5,'p_contAlter','gramaticaAscendenteTree.py',1034),
('contAlter -> COLUMN ID TYPE tipo','contAlter',4,'p_contAlter','gramaticaAscendenteTree.py',1035),
('contAdd -> COLUMN ID tipo','contAdd',3,'p_contAdd','gramaticaAscendenteTree.py',1075),
('contAdd -> CHECK PARENTESISIZQUIERDA operacion PARENTESISDERECHA','contAdd',4,'p_contAdd','gramaticaAscendenteTree.py',1076),
('contAdd -> FOREIGN KEY PARENTESISIZQUIERDA ID PARENTESISDERECHA REFERENCES ID','contAdd',7,'p_contAdd','gramaticaAscendenteTree.py',1077),
('contAdd -> PRIMARY KEY PARENTESISIZQUIERDA ID PARENTESISDERECHA','contAdd',5,'p_contAdd','gramaticaAscendenteTree.py',1078),
('contAdd -> CONSTRAINT ID FOREIGN KEY PARENTESISIZQUIERDA ID PARENTESISDERECHA REFERENCES ID PARENTESISIZQUIERDA ID PARENTESISDERECHA','contAdd',12,'p_contAdd','gramaticaAscendenteTree.py',1079),
('contAdd -> CONSTRAINT ID PRIMARY KEY PARENTESISIZQUIERDA ID PARENTESISDERECHA','contAdd',7,'p_contAdd','gramaticaAscendenteTree.py',1080),
('contAdd -> CONSTRAINT ID UNIQUE PARENTESISIZQUIERDA ID PARENTESISDERECHA','contAdd',6,'p_contAdd','gramaticaAscendenteTree.py',1081),
('contDrop -> COLUMN ID','contDrop',2,'p_contDrop','gramaticaAscendenteTree.py',1250),
('contDrop -> CONSTRAINT ID','contDrop',2,'p_contDrop','gramaticaAscendenteTree.py',1251),
('contDrop -> PRIMARY KEY','contDrop',2,'p_contDrop','gramaticaAscendenteTree.py',1252),
('listaid -> listaid COMA ID','listaid',3,'p_listaID','gramaticaAscendenteTree.py',1293),
('listaid -> ID','listaid',1,'p_listaID_2','gramaticaAscendenteTree.py',1302),
('tipoAlter -> ADD','tipoAlter',1,'p_tipoAlter','gramaticaAscendenteTree.py',1311),
('tipoAlter -> DROP','tipoAlter',1,'p_tipoAlter','gramaticaAscendenteTree.py',1312),
('dropBD -> DROP DATABASE ID PUNTOYCOMA','dropBD',4,'p_dropBD_1','gramaticaAscendenteTree.py',1317),
('dropBD -> DROP DATABASE IF EXISTS ID PUNTOYCOMA','dropBD',6,'p_dropBD_2','gramaticaAscendenteTree.py',1340),
('operacion -> operacion MAS operacion','operacion',3,'p_operacion','gramaticaAscendenteTree.py',1373),
('operacion -> operacion MENOS operacion','operacion',3,'p_operacion','gramaticaAscendenteTree.py',1374),
('operacion -> operacion POR operacion','operacion',3,'p_operacion','gramaticaAscendenteTree.py',1375),
('operacion -> operacion DIV operacion','operacion',3,'p_operacion','gramaticaAscendenteTree.py',1376),
('operacion -> operacion RESIDUO operacion','operacion',3,'p_operacion','gramaticaAscendenteTree.py',1377),
('operacion -> operacion POTENCIA operacion','operacion',3,'p_operacion','gramaticaAscendenteTree.py',1378),
('operacion -> operacion AND operacion','operacion',3,'p_operacion','gramaticaAscendenteTree.py',1379),
('operacion -> operacion OR operacion','operacion',3,'p_operacion','gramaticaAscendenteTree.py',1380),
('operacion -> operacion SIMBOLOOR2 operacion','operacion',3,'p_operacion','gramaticaAscendenteTree.py',1381),
('operacion -> operacion SIMBOLOOR operacion','operacion',3,'p_operacion','gramaticaAscendenteTree.py',1382),
('operacion -> operacion SIMBOLOAND2 operacion','operacion',3,'p_operacion','gramaticaAscendenteTree.py',1383),
('operacion -> operacion DESPLAZAMIENTOIZQUIERDA operacion','operacion',3,'p_operacion','gramaticaAscendenteTree.py',1384),
('operacion -> operacion DESPLAZAMIENTODERECHA operacion','operacion',3,'p_operacion','gramaticaAscendenteTree.py',1385),
('operacion -> operacion IGUAL operacion','operacion',3,'p_operacion','gramaticaAscendenteTree.py',1386),
('operacion -> operacion IGUALIGUAL operacion','operacion',3,'p_operacion','gramaticaAscendenteTree.py',1387),
('operacion -> operacion NOTEQUAL operacion','operacion',3,'p_operacion','gramaticaAscendenteTree.py',1388),
('operacion -> operacion MAYORIGUAL operacion','operacion',3,'p_operacion','gramaticaAscendenteTree.py',1389),
('operacion -> operacion MENORIGUAL operacion','operacion',3,'p_operacion','gramaticaAscendenteTree.py',1390),
('operacion -> operacion MAYOR operacion','operacion',3,'p_operacion','gramaticaAscendenteTree.py',1391),
('operacion -> operacion MENOR operacion','operacion',3,'p_operacion','gramaticaAscendenteTree.py',1392),
('operacion -> operacion DIFERENTE operacion','operacion',3,'p_operacion','gramaticaAscendenteTree.py',1393),
('operacion -> PARENTESISIZQUIERDA operacion PARENTESISDERECHA','operacion',3,'p_operacion','gramaticaAscendenteTree.py',1394),
('operacion -> MENOS ENTERO','operacion',2,'p_operacion_menos_unario_entero','gramaticaAscendenteTree.py',1766),
('operacion -> MENOS DECIMAL','operacion',2,'p_operacion_menos_unario_decimal','gramaticaAscendenteTree.py',1782),
('operacion -> NOT operacion','operacion',2,'p_operacion_not_unario','gramaticaAscendenteTree.py',1801),
('operacion -> funcionBasica','operacion',1,'p_operacion_funcion','gramaticaAscendenteTree.py',1816),
('operacion -> final','operacion',1,'p_operacion_final','gramaticaAscendenteTree.py',1827),
('funcionBasica -> ABS PARENTESISIZQUIERDA operacion PARENTESISDERECHA','funcionBasica',4,'p_funcion_basica','gramaticaAscendenteTree.py',1837),
('funcionBasica -> CBRT PARENTESISIZQUIERDA operacion PARENTESISDERECHA','funcionBasica',4,'p_funcion_basica','gramaticaAscendenteTree.py',1838),
('funcionBasica -> CEIL PARENTESISIZQUIERDA operacion PARENTESISDERECHA','funcionBasica',4,'p_funcion_basica','gramaticaAscendenteTree.py',1839),
('funcionBasica -> CEILING PARENTESISIZQUIERDA operacion PARENTESISDERECHA','funcionBasica',4,'p_funcion_basica','gramaticaAscendenteTree.py',1840),
('funcionBasica -> DEGREES PARENTESISIZQUIERDA operacion PARENTESISDERECHA','funcionBasica',4,'p_funcion_basica','gramaticaAscendenteTree.py',1841),
('funcionBasica -> DIV PARENTESISIZQUIERDA operacion COMA operacion PARENTESISDERECHA','funcionBasica',6,'p_funcion_basica','gramaticaAscendenteTree.py',1842),
('funcionBasica -> EXP PARENTESISIZQUIERDA operacion PARENTESISDERECHA','funcionBasica',4,'p_funcion_basica','gramaticaAscendenteTree.py',1843),
('funcionBasica -> FACTORIAL PARENTESISIZQUIERDA operacion PARENTESISDERECHA','funcionBasica',4,'p_funcion_basica','gramaticaAscendenteTree.py',1844),
('funcionBasica -> FLOOR PARENTESISIZQUIERDA operacion PARENTESISDERECHA','funcionBasica',4,'p_funcion_basica','gramaticaAscendenteTree.py',1845),
('funcionBasica -> GCD PARENTESISIZQUIERDA operacion COMA operacion PARENTESISDERECHA','funcionBasica',6,'p_funcion_basica','gramaticaAscendenteTree.py',1846),
('funcionBasica -> LCM PARENTESISIZQUIERDA operacion COMA operacion PARENTESISDERECHA','funcionBasica',6,'p_funcion_basica','gramaticaAscendenteTree.py',1847),
('funcionBasica -> LN PARENTESISIZQUIERDA operacion PARENTESISDERECHA','funcionBasica',4,'p_funcion_basica','gramaticaAscendenteTree.py',1848),
('funcionBasica -> LOG PARENTESISIZQUIERDA operacion PARENTESISDERECHA','funcionBasica',4,'p_funcion_basica','gramaticaAscendenteTree.py',1849),
('funcionBasica -> MOD PARENTESISIZQUIERDA operacion COMA operacion PARENTESISDERECHA','funcionBasica',6,'p_funcion_basica','gramaticaAscendenteTree.py',1850),
('funcionBasica -> PI PARENTESISIZQUIERDA PARENTESISDERECHA','funcionBasica',3,'p_funcion_basica','gramaticaAscendenteTree.py',1851),
('funcionBasica -> POWER PARENTESISIZQUIERDA operacion COMA operacion PARENTESISDERECHA','funcionBasica',6,'p_funcion_basica','gramaticaAscendenteTree.py',1852),
('funcionBasica -> RADIANS PARENTESISIZQUIERDA operacion PARENTESISDERECHA','funcionBasica',4,'p_funcion_basica','gramaticaAscendenteTree.py',1853),
('funcionBasica -> ROUND PARENTESISIZQUIERDA operacion PARENTESISDERECHA','funcionBasica',4,'p_funcion_basica','gramaticaAscendenteTree.py',1854),
('funcionBasica -> SIGN PARENTESISIZQUIERDA operacion PARENTESISDERECHA','funcionBasica',4,'p_funcion_basica','gramaticaAscendenteTree.py',1855),
('funcionBasica -> SQRT PARENTESISIZQUIERDA operacion PARENTESISDERECHA','funcionBasica',4,'p_funcion_basica','gramaticaAscendenteTree.py',1856),
('funcionBasica -> TRIM_SCALE PARENTESISIZQUIERDA operacion PARENTESISDERECHA','funcionBasica',4,'p_funcion_basica','gramaticaAscendenteTree.py',1857),
('funcionBasica -> TRUNC PARENTESISIZQUIERDA operacion PARENTESISDERECHA','funcionBasica',4,'p_funcion_basica','gramaticaAscendenteTree.py',1858),
('funcionBasica -> WIDTH_BUCKET PARENTESISIZQUIERDA operacion COMA operacion COMA operacion COMA operacion PARENTESISDERECHA','funcionBasica',10,'p_funcion_basica','gramaticaAscendenteTree.py',1859),
('funcionBasica -> RANDOM PARENTESISIZQUIERDA PARENTESISDERECHA','funcionBasica',3,'p_funcion_basica','gramaticaAscendenteTree.py',1860),
('funcionBasica -> ACOS PARENTESISIZQUIERDA operacion PARENTESISDERECHA','funcionBasica',4,'p_funcion_basica','gramaticaAscendenteTree.py',1863),
('funcionBasica -> ACOSD PARENTESISIZQUIERDA operacion PARENTESISDERECHA','funcionBasica',4,'p_funcion_basica','gramaticaAscendenteTree.py',1864),
('funcionBasica -> ASIN PARENTESISIZQUIERDA operacion PARENTESISDERECHA','funcionBasica',4,'p_funcion_basica','gramaticaAscendenteTree.py',1865),
('funcionBasica -> ASIND PARENTESISIZQUIERDA operacion PARENTESISDERECHA','funcionBasica',4,'p_funcion_basica','gramaticaAscendenteTree.py',1866),
('funcionBasica -> ATAN PARENTESISIZQUIERDA operacion PARENTESISDERECHA','funcionBasica',4,'p_funcion_basica','gramaticaAscendenteTree.py',1867),
('funcionBasica -> ATAND PARENTESISIZQUIERDA operacion PARENTESISDERECHA','funcionBasica',4,'p_funcion_basica','gramaticaAscendenteTree.py',1868),
('funcionBasica -> ATAN2 PARENTESISIZQUIERDA operacion COMA operacion PARENTESISDERECHA','funcionBasica',6,'p_funcion_basica','gramaticaAscendenteTree.py',1869),
('funcionBasica -> ATAN2D PARENTESISIZQUIERDA operacion COMA operacion PARENTESISDERECHA','funcionBasica',6,'p_funcion_basica','gramaticaAscendenteTree.py',1870),
('funcionBasica -> COS PARENTESISIZQUIERDA operacion PARENTESISDERECHA','funcionBasica',4,'p_funcion_basica','gramaticaAscendenteTree.py',1873),
('funcionBasica -> COSD PARENTESISIZQUIERDA operacion PARENTESISDERECHA','funcionBasica',4,'p_funcion_basica','gramaticaAscendenteTree.py',1874),
('funcionBasica -> COT PARENTESISIZQUIERDA operacion PARENTESISDERECHA','funcionBasica',4,'p_funcion_basica','gramaticaAscendenteTree.py',1875),
('funcionBasica -> COTD PARENTESISIZQUIERDA operacion PARENTESISDERECHA','funcionBasica',4,'p_funcion_basica','gramaticaAscendenteTree.py',1876),
('funcionBasica -> SIN PARENTESISIZQUIERDA operacion PARENTESISDERECHA','funcionBasica',4,'p_funcion_basica','gramaticaAscendenteTree.py',1877),
('funcionBasica -> SIND PARENTESISIZQUIERDA operacion PARENTESISDERECHA','funcionBasica',4,'p_funcion_basica','gramaticaAscendenteTree.py',1878),
('funcionBasica -> TAN PARENTESISIZQUIERDA operacion PARENTESISDERECHA','funcionBasica',4,'p_funcion_basica','gramaticaAscendenteTree.py',1879),
('funcionBasica -> TAND PARENTESISIZQUIERDA operacion PARENTESISDERECHA','funcionBasica',4,'p_funcion_basica','gramaticaAscendenteTree.py',1880),
('funcionBasica -> SINH PARENTESISIZQUIERDA operacion PARENTESISDERECHA','funcionBasica',4,'p_funcion_basica','gramaticaAscendenteTree.py',1881),
('funcionBasica -> GREATEST PARENTESISIZQUIERDA select_list PARENTESISDERECHA','funcionBasica',4,'p_funcion_basica','gramaticaAscendenteTree.py',1882),
('funcionBasica -> LEAST PARENTESISIZQUIERDA select_list PARENTESISDERECHA','funcionBasica',4,'p_funcion_basica','gramaticaAscendenteTree.py',1883),
('funcionBasica -> NOW PARENTESISIZQUIERDA PARENTESISDERECHA','funcionBasica',3,'p_funcion_basica','gramaticaAscendenteTree.py',1884),
('funcionBasica -> COSH PARENTESISIZQUIERDA operacion PARENTESISDERECHA','funcionBasica',4,'p_funcion_basica','gramaticaAscendenteTree.py',1887),
('funcionBasica -> TANH PARENTESISIZQUIERDA operacion PARENTESISDERECHA','funcionBasica',4,'p_funcion_basica','gramaticaAscendenteTree.py',1888),
('funcionBasica -> ASINH PARENTESISIZQUIERDA operacion PARENTESISDERECHA','funcionBasica',4,'p_funcion_basica','gramaticaAscendenteTree.py',1889),
('funcionBasica -> ACOSH PARENTESISIZQUIERDA operacion PARENTESISDERECHA','funcionBasica',4,'p_funcion_basica','gramaticaAscendenteTree.py',1890),
('funcionBasica -> ATANH PARENTESISIZQUIERDA operacion PARENTESISDERECHA','funcionBasica',4,'p_funcion_basica','gramaticaAscendenteTree.py',1891),
('funcionBasica -> LENGTH PARENTESISIZQUIERDA operacion PARENTESISDERECHA','funcionBasica',4,'p_funcion_basica','gramaticaAscendenteTree.py',1892),
('funcionBasica -> TRIM PARENTESISIZQUIERDA opcionTrim operacion FROM operacion PARENTESISDERECHA','funcionBasica',7,'p_funcion_basica','gramaticaAscendenteTree.py',1893),
('funcionBasica -> GET_BYTE PARENTESISIZQUIERDA operacion COMA operacion PARENTESISDERECHA','funcionBasica',6,'p_funcion_basica','gramaticaAscendenteTree.py',1894),
('funcionBasica -> MD5 PARENTESISIZQUIERDA operacion PARENTESISDERECHA','funcionBasica',4,'p_funcion_basica','gramaticaAscendenteTree.py',1895),
('funcionBasica -> SET_BYTE PARENTESISIZQUIERDA operacion COMA operacion COMA operacion PARENTESISDERECHA','funcionBasica',8,'p_funcion_basica','gramaticaAscendenteTree.py',1896),
('funcionBasica -> SHA256 PARENTESISIZQUIERDA operacion PARENTESISDERECHA','funcionBasica',4,'p_funcion_basica','gramaticaAscendenteTree.py',1897),
('funcionBasica -> SUBSTR PARENTESISIZQUIERDA operacion COMA operacion COMA operacion PARENTESISDERECHA','funcionBasica',8,'p_funcion_basica','gramaticaAscendenteTree.py',1898),
('funcionBasica -> CONVERT PARENTESISIZQUIERDA operacion COMA operacion COMA operacion PARENTESISDERECHA','funcionBasica',8,'p_funcion_basica','gramaticaAscendenteTree.py',1899),
('funcionBasica -> ENCODE PARENTESISIZQUIERDA operacion COMA operacion PARENTESISDERECHA','funcionBasica',6,'p_funcion_basica','gramaticaAscendenteTree.py',1900),
('funcionBasica -> DECODE PARENTESISIZQUIERDA operacion COMA operacion PARENTESISDERECHA','funcionBasica',6,'p_funcion_basica','gramaticaAscendenteTree.py',1901),
('funcionBasica -> AVG PARENTESISIZQUIERDA operacion PARENTESISDERECHA','funcionBasica',4,'p_funcion_basica','gramaticaAscendenteTree.py',1902),
('funcionBasica -> SUM PARENTESISIZQUIERDA operacion PARENTESISDERECHA','funcionBasica',4,'p_funcion_basica','gramaticaAscendenteTree.py',1903),
('funcionBasica -> ID PARENTESISIZQUIERDA opcionTiempo FROM TIMESTAMP operacion PARENTESISDERECHA','funcionBasica',7,'p_funcion_basica','gramaticaAscendenteTree.py',1904),
('funcionBasica -> ID PARENTESISIZQUIERDA operacion COMA INTERVAL operacion PARENTESISDERECHA','funcionBasica',7,'p_funcion_basica','gramaticaAscendenteTree.py',1905),
('funcionBasica -> ID PARENTESISIZQUIERDA operacion PARENTESISDERECHA','funcionBasica',4,'p_funcion_basica','gramaticaAscendenteTree.py',1906),
('funcionBasica -> SUBSTRING PARENTESISIZQUIERDA operacion FROM operacion FOR operacion PARENTESISDERECHA','funcionBasica',8,'p_funcion_basica_1','gramaticaAscendenteTree.py',2802),
('funcionBasica -> SUBSTRING PARENTESISIZQUIERDA operacion FROM operacion PARENTESISDERECHA','funcionBasica',6,'p_funcion_basica_2','gramaticaAscendenteTree.py',2832),
('funcionBasica -> SUBSTRING PARENTESISIZQUIERDA operacion FOR operacion PARENTESISDERECHA','funcionBasica',6,'p_funcion_basica_3','gramaticaAscendenteTree.py',2854),
('opcionTrim -> LEADING','opcionTrim',1,'p_opcionTrim','gramaticaAscendenteTree.py',2877),
('opcionTrim -> TRAILING','opcionTrim',1,'p_opcionTrim','gramaticaAscendenteTree.py',2878),
('opcionTrim -> BOTH','opcionTrim',1,'p_opcionTrim','gramaticaAscendenteTree.py',2879),
('opcionTiempo -> YEAR','opcionTiempo',1,'p_opcionTiempo','gramaticaAscendenteTree.py',2915),
('opcionTiempo -> MONTH','opcionTiempo',1,'p_opcionTiempo','gramaticaAscendenteTree.py',2916),
('opcionTiempo -> DAY','opcionTiempo',1,'p_opcionTiempo','gramaticaAscendenteTree.py',2917),
('opcionTiempo -> HOUR','opcionTiempo',1,'p_opcionTiempo','gramaticaAscendenteTree.py',2918),
('opcionTiempo -> MINUTE','opcionTiempo',1,'p_opcionTiempo','gramaticaAscendenteTree.py',2919),
('opcionTiempo -> SECOND','opcionTiempo',1,'p_opcionTiempo','gramaticaAscendenteTree.py',2920),
('final -> DECIMAL','final',1,'p_final_decimal','gramaticaAscendenteTree.py',2986),
('final -> ENTERO','final',1,'p_final_entero','gramaticaAscendenteTree.py',2998),
('final -> ID','final',1,'p_final_id','gramaticaAscendenteTree.py',3010),
('final -> ID PUNTO ID','final',3,'p_final_invocacion','gramaticaAscendenteTree.py',3022),
('final -> CADENA','final',1,'p_final_cadena','gramaticaAscendenteTree.py',3038),
('insertinBD -> INSERT INTO ID VALUES PARENTESISIZQUIERDA listaParam PARENTESISDERECHA PUNTOYCOMA','insertinBD',8,'p_insertBD_1','gramaticaAscendenteTree.py',3051),
('insertinBD -> INSERT INTO ID PARENTESISIZQUIERDA listaParam PARENTESISDERECHA VALUES PARENTESISIZQUIERDA listaParam PARENTESISDERECHA PUNTOYCOMA','insertinBD',11,'p_insertBD_2','gramaticaAscendenteTree.py',3081),
('listaParam -> listaParam COMA final','listaParam',3,'p_listaParam','gramaticaAscendenteTree.py',3086),
('listaParam -> final','listaParam',1,'p_listaParam_2','gramaticaAscendenteTree.py',3100),
('updateinBD -> UPDATE ID SET asignaciones WHERE asignaciones PUNTOYCOMA','updateinBD',7,'p_updateBD','gramaticaAscendenteTree.py',3111),
('asignaciones -> asignaciones COMA asigna','asignaciones',3,'p_asignaciones','gramaticaAscendenteTree.py',3145),
('asignaciones -> asigna','asignaciones',1,'p_asignaciones_2','gramaticaAscendenteTree.py',3159),
('asigna -> ID IGUAL operacion','asigna',3,'p_asigna','gramaticaAscendenteTree.py',3170),
('deleteinBD -> DELETE FROM ID PUNTOYCOMA','deleteinBD',4,'p_deleteinBD_1','gramaticaAscendenteTree.py',3186),
('deleteinBD -> DELETE FROM ID WHERE operacion PUNTOYCOMA','deleteinBD',6,'p_deleteinBD_2','gramaticaAscendenteTree.py',3208),
('inheritsBD -> CREATE TABLE ID PARENTESISIZQUIERDA creaColumnas PARENTESISDERECHA INHERITS PARENTESISIZQUIERDA ID PARENTESISDERECHA PUNTOYCOMA','inheritsBD',11,'p_inheritsBD','gramaticaAscendenteTree.py',3240),
('createTable -> CREATE TABLE ID PARENTESISIZQUIERDA creaColumnas PARENTESISDERECHA PUNTOYCOMA','createTable',7,'p_createTable','gramaticaAscendenteTree.py',3274),
('creaColumnas -> creaColumnas COMA Columna','creaColumnas',3,'p_creaColumna','gramaticaAscendenteTree.py',3301),
('creaColumnas -> Columna','creaColumnas',1,'p_creaColumna_2','gramaticaAscendenteTree.py',3314),
('Columna -> ID tipo','Columna',2,'p_columna_1','gramaticaAscendenteTree.py',3326),
('Columna -> ID tipo paramOpcional','Columna',3,'p_columna_2','gramaticaAscendenteTree.py',3341),
('Columna -> UNIQUE PARENTESISIZQUIERDA listaParam PARENTESISDERECHA','Columna',4,'p_columna_3','gramaticaAscendenteTree.py',3359),
('Columna -> constraintcheck','Columna',1,'p_columna_4','gramaticaAscendenteTree.py',3374),
('Columna -> checkinColumn','Columna',1,'p_columna_5','gramaticaAscendenteTree.py',3384),
('Columna -> primaryKey','Columna',1,'p_columna_6','gramaticaAscendenteTree.py',3394),
('Columna -> foreignKey','Columna',1,'p_columna_7','gramaticaAscendenteTree.py',3404),
('paramOpcional -> paramOpcional paramopc','paramOpcional',2,'p_paramOpcional','gramaticaAscendenteTree.py',3417),
('paramOpcional -> paramopc','paramOpcional',1,'p_paramOpcional_1','gramaticaAscendenteTree.py',3430),
('paramopc -> DEFAULT final','paramopc',2,'p_paramopc_1','gramaticaAscendenteTree.py',3442),
('paramopc -> NULL','paramopc',1,'p_paramopc_1','gramaticaAscendenteTree.py',3443),
('paramopc -> NOT NULL','paramopc',2,'p_paramopc_1','gramaticaAscendenteTree.py',3444),
('paramopc -> UNIQUE','paramopc',1,'p_paramopc_1','gramaticaAscendenteTree.py',3445),
('paramopc -> PRIMARY KEY','paramopc',2,'p_paramopc_1','gramaticaAscendenteTree.py',3446),
('paramopc -> constraintcheck','paramopc',1,'p_paramopc_2','gramaticaAscendenteTree.py',3523),
('paramopc -> checkinColumn','paramopc',1,'p_paramopc_3','gramaticaAscendenteTree.py',3533),
('paramopc -> CONSTRAINT ID UNIQUE','paramopc',3,'p_paramopc_4','gramaticaAscendenteTree.py',3546),
('checkinColumn -> CHECK PARENTESISIZQUIERDA operacion PARENTESISDERECHA','checkinColumn',4,'p_checkcolumna','gramaticaAscendenteTree.py',3571),
('constraintcheck -> CONSTRAINT ID CHECK PARENTESISIZQUIERDA operacion PARENTESISDERECHA','constraintcheck',6,'p_constraintcheck','gramaticaAscendenteTree.py',3587),
('primaryKey -> PRIMARY KEY PARENTESISIZQUIERDA listaParam PARENTESISDERECHA','primaryKey',5,'p_primaryKey','gramaticaAscendenteTree.py',3613),
('foreignKey -> FOREIGN KEY PARENTESISIZQUIERDA listaParam PARENTESISDERECHA REFERENCES ID PARENTESISIZQUIERDA listaParam PARENTESISDERECHA','foreignKey',10,'p_foreingkey','gramaticaAscendenteTree.py',3633),
('tipo -> SMALLINT','tipo',1,'p_tipo','gramaticaAscendenteTree.py',3668),
('tipo -> INTEGER','tipo',1,'p_tipo','gramaticaAscendenteTree.py',3669),
('tipo -> BIGINT','tipo',1,'p_tipo','gramaticaAscendenteTree.py',3670),
('tipo -> DECIMAL','tipo',1,'p_tipo','gramaticaAscendenteTree.py',3671),
('tipo -> NUMERIC','tipo',1,'p_tipo','gramaticaAscendenteTree.py',3672),
('tipo -> REAL','tipo',1,'p_tipo','gramaticaAscendenteTree.py',3673),
('tipo -> DOUBLE PRECISION','tipo',2,'p_tipo','gramaticaAscendenteTree.py',3674),
('tipo -> MONEY','tipo',1,'p_tipo','gramaticaAscendenteTree.py',3675),
('tipo -> VARCHAR PARENTESISIZQUIERDA ENTERO PARENTESISDERECHA','tipo',4,'p_tipo','gramaticaAscendenteTree.py',3676),
('tipo -> CHARACTER VARYING PARENTESISIZQUIERDA ENTERO PARENTESISDERECHA','tipo',5,'p_tipo','gramaticaAscendenteTree.py',3677),
('tipo -> CHARACTER PARENTESISIZQUIERDA ENTERO PARENTESISDERECHA','tipo',4,'p_tipo','gramaticaAscendenteTree.py',3678),
('tipo -> CHAR PARENTESISIZQUIERDA ENTERO PARENTESISDERECHA','tipo',4,'p_tipo','gramaticaAscendenteTree.py',3679),
('tipo -> TEXT','tipo',1,'p_tipo','gramaticaAscendenteTree.py',3680),
('tipo -> BOOLEAN','tipo',1,'p_tipo','gramaticaAscendenteTree.py',3681),
('tipo -> TIMESTAMP','tipo',1,'p_tipo','gramaticaAscendenteTree.py',3682),
('tipo -> TIME','tipo',1,'p_tipo','gramaticaAscendenteTree.py',3683),
('tipo -> INTERVAL','tipo',1,'p_tipo','gramaticaAscendenteTree.py',3684),
('tipo -> DATE','tipo',1,'p_tipo','gramaticaAscendenteTree.py',3685),
('tipo -> YEAR','tipo',1,'p_tipo','gramaticaAscendenteTree.py',3686),
('tipo -> MONTH','tipo',1,'p_tipo','gramaticaAscendenteTree.py',3687),
('tipo -> DAY','tipo',1,'p_tipo','gramaticaAscendenteTree.py',3688),
('tipo -> HOUR','tipo',1,'p_tipo','gramaticaAscendenteTree.py',3689),
('tipo -> MINUTE','tipo',1,'p_tipo','gramaticaAscendenteTree.py',3690),
('tipo -> SECOND','tipo',1,'p_tipo','gramaticaAscendenteTree.py',3691),
('selectData -> SELECT select_list FROM select_list WHERE search_condition opcionesSelect','selectData',7,'p_select','gramaticaAscendenteTree.py',4002),
('selectData -> SELECT POR FROM select_list WHERE search_condition opcionesSelect','selectData',7,'p_select','gramaticaAscendenteTree.py',4003),
('selectData -> SELECT select_list FROM select_list WHERE search_condition','selectData',6,'p_select_1','gramaticaAscendenteTree.py',4081),
('selectData -> SELECT POR FROM select_list WHERE search_condition','selectData',6,'p_select_1','gramaticaAscendenteTree.py',4082),
('selectData -> SELECT select_list FROM select_list','selectData',4,'p_select_2','gramaticaAscendenteTree.py',4138),
('selectData -> SELECT POR FROM select_list','selectData',4,'p_select_2','gramaticaAscendenteTree.py',4139),
('selectData -> SELECT select_list','selectData',2,'p_select_3','gramaticaAscendenteTree.py',4196),
('opcionesSelect -> opcionesSelect opcionSelect','opcionesSelect',2,'p_opcionesSelect_1','gramaticaAscendenteTree.py',4215),
('opcionesSelect -> opcionSelect','opcionesSelect',1,'p_opcionesSelect_2','gramaticaAscendenteTree.py',4229),
('opcionSelect -> LIMIT operacion','opcionSelect',2,'p_opcionesSelect_3','gramaticaAscendenteTree.py',4242),
('opcionSelect -> GROUP BY select_list','opcionSelect',3,'p_opcionesSelect_3','gramaticaAscendenteTree.py',4243),
('opcionSelect -> HAVING select_list','opcionSelect',2,'p_opcionesSelect_3','gramaticaAscendenteTree.py',4244),
('opcionSelect -> ORDER BY select_list','opcionSelect',3,'p_opcionesSelect_3','gramaticaAscendenteTree.py',4245),
('opcionSelect -> LIMIT operacion OFFSET operacion','opcionSelect',4,'p_opcionesSelect_4','gramaticaAscendenteTree.py',4315),
('opcionSelect -> ORDER BY select_list ordenamiento','opcionSelect',4,'p_opcionesSelect_4','gramaticaAscendenteTree.py',4316),
('ordenamiento -> ASC','ordenamiento',1,'p_ordenamiento','gramaticaAscendenteTree.py',4368),
('ordenamiento -> DESC','ordenamiento',1,'p_ordenamiento','gramaticaAscendenteTree.py',4369),
('search_condition -> final NOT IN PARENTESISIZQUIERDA selectData PARENTESISDERECHA','search_condition',6,'p_search_condition_2','gramaticaAscendenteTree.py',4397),
('search_condition -> operacion','search_condition',1,'p_search_condition_3','gramaticaAscendenteTree.py',4423),
('search_condition -> PARENTESISIZQUIERDA search_condition PARENTESISDERECHA','search_condition',3,'p_search_condition_4','gramaticaAscendenteTree.py',4434),
('select_list -> select_list COMA operacion','select_list',3,'p_select_list_1','gramaticaAscendenteTree.py',4459),
('select_list -> select_list COMA asignacion','select_list',3,'p_select_list_6','gramaticaAscendenteTree.py',4473),
('select_list -> asignacion','select_list',1,'p_select_list_7','gramaticaAscendenteTree.py',4486),
('select_list -> operacion','select_list',1,'p_select_list_2','gramaticaAscendenteTree.py',4497),
('asignacion -> operacion AS operacion','asignacion',3,'p_asignacion_1','gramaticaAscendenteTree.py',4507),
('asignacion -> final final','asignacion',2,'p_asignacion_2','gramaticaAscendenteTree.py',4525),
('funcionBasica -> operacion BETWEEN operacion','funcionBasica',3,'p_funcion_basica_4','gramaticaAscendenteTree.py',4538),
('funcionBasica -> operacion LIKE CADENA','funcionBasica',3,'p_funcion_basica_5','gramaticaAscendenteTree.py',4556),
('funcionBasica -> operacion IN PARENTESISIZQUIERDA select_list PARENTESISDERECHA','funcionBasica',5,'p_funcion_basica_6','gramaticaAscendenteTree.py',4576),
('funcionBasica -> operacion NOT BETWEEN operacion','funcionBasica',4,'p_funcion_basica_7','gramaticaAscendenteTree.py',4595),
('funcionBasica -> operacion BETWEEN SYMMETRIC operacion','funcionBasica',4,'p_funcion_basica_8','gramaticaAscendenteTree.py',4619),
('funcionBasica -> operacion NOT BETWEEN SYMMETRIC operacion','funcionBasica',5,'p_funcion_basica_9','gramaticaAscendenteTree.py',4642),
('funcionBasica -> operacion IS DISTINCT FROM operacion','funcionBasica',5,'p_funcion_basica_10','gramaticaAscendenteTree.py',4670),
('funcionBasica -> operacion IS NOT DISTINCT FROM operacion','funcionBasica',6,'p_funcion_basica_11','gramaticaAscendenteTree.py',4698),
('tipos -> CREATE TYPE final AS ENUM PARENTESISIZQUIERDA select_list PARENTESISDERECHA PUNTOYCOMA','tipos',9,'p_tipos','gramaticaAscendenteTree.py',4731),
]
| 1,110.604651 | 278,635 | 0.678102 | 75,043 | 334,292 | 3.012446 | 0.018589 | 0.029859 | 0.007724 | 0.010298 | 0.813393 | 0.785184 | 0.741404 | 0.719569 | 0.709988 | 0.700331 | 0 | 0.581612 | 0.024108 | 334,292 | 300 | 278,636 | 1,114.306667 | 0.111338 | 0.000251 | 0 | 0.006897 | 1 | 0.003448 | 0.134903 | 0.024988 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11 |
2ebf8cd79c39dad921a283e41b91f1e2451dccf6 | 222 | py | Python | csp/variables/ordering/__init__.py | abeccaro/csp-solver | a761dee02a4dd12162eb55ef34cc0989c79567cc | [
"MIT"
] | null | null | null | csp/variables/ordering/__init__.py | abeccaro/csp-solver | a761dee02a4dd12162eb55ef34cc0989c79567cc | [
"MIT"
] | null | null | null | csp/variables/ordering/__init__.py | abeccaro/csp-solver | a761dee02a4dd12162eb55ef34cc0989c79567cc | [
"MIT"
] | null | null | null | from csp.variables.ordering.var_ordering_strategy import VarOrderingStrategy
from csp.variables.ordering.default_var_order import DefaultVarOrder
from csp.variables.ordering.min_remaining_values import MinRemainingValues
| 44.4 | 76 | 0.900901 | 27 | 222 | 7.185185 | 0.555556 | 0.108247 | 0.247423 | 0.371134 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.058559 | 222 | 4 | 77 | 55.5 | 0.92823 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
2ef876043aef45ecf9318eeb77518816e1d16b8d | 64,108 | py | Python | sparse_ho/models.py | svaiter/sparse-ho | 8c04ca533e44ecd128dc26b6830a556babf8416f | [
"BSD-3-Clause"
] | null | null | null | sparse_ho/models.py | svaiter/sparse-ho | 8c04ca533e44ecd128dc26b6830a556babf8416f | [
"BSD-3-Clause"
] | null | null | null | sparse_ho/models.py | svaiter/sparse-ho | 8c04ca533e44ecd128dc26b6830a556babf8416f | [
"BSD-3-Clause"
] | null | null | null | import numpy as np
from numpy.linalg import norm
from numba import njit
from sparse_ho.utils import ST, init_dbeta0_new, init_dbeta0_new_p, prox_elasticnet
from sparse_ho.utils import proj_box_svm, ind_box, compute_grad_proj
from sparse_ho.utils import sigma
import scipy.sparse.linalg as slinalg
from scipy.sparse import issparse, csc_matrix
class Lasso():
"""Linear Model trained with L1 prior as regularizer (aka the Lasso)
The optimization objective for Lasso is:
(1 / (2 * n_samples)) * ||y - Xw||^2_2 + alpha * ||w||_1
Parameters
----------
log_alpha : float
X: {ndarray, sparse matrix} of (n_samples, n_features)
Data.
y: {ndarray, sparse matrix} of (n_samples)
Target
estimator: instance of ``sklearn.base.BaseEstimator``
An estimator that follows the scikit-learn API.
log_alpha_max: float
logarithm of alpha_max if already precomputed
"""
def __init__(
self, X, y, max_iter=1000, estimator=None, log_alpha_max=None):
self.X = X
self.y = y
self.max_iter = max_iter
self.estimator = estimator
self.log_alpha_max = log_alpha_max
def _init_dbeta_dr(self, X, y, mask0=None, jac0=None,
dense0=None, compute_jac=True):
n_samples, n_features = X.shape
dbeta = np.zeros(n_features)
if jac0 is None or not compute_jac:
dr = np.zeros(n_samples)
else:
dbeta[mask0] = jac0.copy()
dr = - X[:, mask0] @ jac0.copy()
return dbeta, dr
def _init_beta_r(self, X, y, mask0=None, dense0=None):
beta = np.zeros(X.shape[1])
if dense0 is None or len(dense0) == 0:
r = y.copy()
r = r.astype(np.float)
else:
beta[mask0] = dense0.copy()
r = y - X[:, mask0] @ dense0
return beta, r
@staticmethod
@njit
def _update_beta_jac_bcd(
X, y, beta, dbeta, r, dr, alpha, L, compute_jac=True):
n_samples, n_features = X.shape
non_zeros = np.where(L != 0)[0]
for j in non_zeros:
beta_old = beta[j]
if compute_jac:
dbeta_old = dbeta[j]
# compute derivatives
zj = beta[j] + r @ X[:, j] / (L[j] * n_samples)
beta[j] = ST(zj, alpha[j] / L[j])
# beta[j:j+1] = ST(zj, alpha[j] / L[j])
if compute_jac:
dzj = dbeta[j] + X[:, j] @ dr / (L[j] * n_samples)
dbeta[j:j+1] = np.abs(np.sign(beta[j])) * dzj
dbeta[j:j+1] -= alpha[j] * np.sign(beta[j]) / L[j]
# update residuals
dr -= X[:, j] * (dbeta[j] - dbeta_old)
r -= X[:, j] * (beta[j] - beta_old)
@staticmethod
@njit
def _update_beta_jac_bcd_sparse(
data, indptr, indices, y, n_samples, n_features, beta,
dbeta, r, dr, alphas, L, compute_jac=True):
non_zeros = np.where(L != 0)[0]
for j in non_zeros:
# get the j-st column of X in sparse format
Xjs = data[indptr[j]:indptr[j+1]]
# get the non zero indices
idx_nz = indices[indptr[j]:indptr[j+1]]
beta_old = beta[j]
if compute_jac:
dbeta_old = dbeta[j]
zj = beta[j] + r[idx_nz] @ Xjs / (L[j] * n_samples)
beta[j:j+1] = ST(zj, alphas[j] / L[j])
if compute_jac:
dzj = dbeta[j] + Xjs @ dr[idx_nz] / (L[j] * n_samples)
dbeta[j:j+1] = np.abs(np.sign(beta[j])) * dzj
dbeta[j:j+1] -= alphas[j] * np.sign(beta[j]) / L[j]
# update residuals
dr[idx_nz] -= Xjs * (dbeta[j] - dbeta_old)
r[idx_nz] -= Xjs * (beta[j] - beta_old)
@staticmethod
@njit
def _update_bcd_jac_backward(X, alpha, grad, beta, v_t_jac, L):
sign_beta = np.sign(beta)
n_samples, n_features = X.shape
for j in (np.arange(sign_beta.shape[0] - 1, -1, -1)):
grad -= (v_t_jac[j]) * alpha * sign_beta[j] / L[j]
v_t_jac[j] *= np.abs(sign_beta[j])
v_t_jac -= v_t_jac[j] / (L[j] * n_samples) * X[:, j] @ X
return grad
@staticmethod
def _get_pobj0(r, beta, alphas, y=None):
n_samples = r.shape[0]
return norm(y) ** 2 / (2 * n_samples)
@staticmethod
def _get_pobj(r, beta, alphas, y=None):
n_samples = r.shape[0]
return (
norm(r) ** 2 / (2 * n_samples) + np.abs(alphas * beta).sum())
@staticmethod
def _get_jac(dbeta, mask):
return dbeta[mask]
@staticmethod
def get_full_jac_v(mask, jac_v, n_features):
return jac_v
@staticmethod
def get_mask_jac_v(mask, jac_v):
return jac_v
@staticmethod
def _init_dbeta0(mask, mask0, jac0):
size_mat = mask.sum()
if jac0 is not None:
dbeta0_new = init_dbeta0_new(jac0, mask, mask0)
else:
dbeta0_new = np.zeros(size_mat)
return dbeta0_new
@staticmethod
def _init_dbeta(n_features):
dbeta = np.zeros(n_features)
return dbeta
@staticmethod
def _init_dr(dbeta, X, y, sign_beta, alpha):
return - X @ dbeta
def _init_g_backward(self, jac_v0):
if jac_v0 is None:
return 0.0
else:
return jac_v0
@staticmethod
@njit
def _update_only_jac(Xs, y, r, dbeta, dr, L, alpha, sign_beta):
n_samples, n_features = Xs.shape
for j in range(n_features):
# dbeta_old = dbeta[j].copy()
dbeta_old = dbeta[j]
dbeta[j] += Xs[:, j].T @ dr / (L[j] * n_samples)
dbeta[j] -= alpha * sign_beta[j] / L[j]
dr -= Xs[:, j] * (dbeta[j] - dbeta_old)
@staticmethod
@njit
def _update_only_jac_sparse(
data, indptr, indices, y, n_samples, n_features,
dbeta, r, dr, L, alpha, sign_beta):
for j in range(n_features):
# get the j-st column of X in sparse format
Xjs = data[indptr[j]:indptr[j+1]]
# get the non zero idices
idx_nz = indices[indptr[j]:indptr[j+1]]
# store old beta j for fast update
dbeta_old = dbeta[j]
# update of the Jacobian dbeta
dbeta[j] += Xjs @ dr[idx_nz] / (L[j] * n_samples)
dbeta[j] -= alpha * sign_beta[j] / L[j]
dr[idx_nz] -= Xjs * (dbeta[j] - dbeta_old)
@staticmethod
@njit
def _reduce_alpha(alpha, mask):
return alpha
# @staticmethod
def _get_jac_t_v(self, jac, mask, dense, alphas, v):
n_samples = self.X.shape[0]
return n_samples * alphas[mask] * np.sign(dense) @ jac
def proj_param(self, log_alpha):
if self.log_alpha_max is None:
alpha_max = np.max(np.abs(self.X.T @ self.y))
alpha_max /= self.X.shape[0]
self.log_alpha_max = np.log(alpha_max)
if log_alpha < self.log_alpha_max - 12:
return self.log_alpha_max - 12
elif log_alpha > self.log_alpha_max + np.log(0.9):
return self.log_alpha_max + np.log(0.9)
else:
return log_alpha
@staticmethod
def get_L(X, is_sparse=False):
# print(is_sparse)
if is_sparse:
return slinalg.norm(X, axis=0) ** 2 / (X.shape[0])
else:
return norm(X, axis=0) ** 2 / (X.shape[0])
def _use_estimator(self, X, y, alpha, tol, max_iter):
if self.estimator is None:
raise ValueError("You did not pass a solver with sklearn API")
self.estimator.set_params(tol=tol, alpha=alpha)
self.estimator.fit(X, y)
mask = self.estimator.coef_ != 0
dense = self.estimator.coef_[mask]
return mask, dense, None
def reduce_X(self, mask):
return self.X[:, mask]
def reduce_y(self, mask):
return self.y
def sign(self, x, log_alpha):
return np.sign(x)
def get_primal(self, mask, dense):
return mask, dense
def get_jac_v(self, mask, dense, jac, v):
return jac.T @ v(mask, dense)
def get_hessian(self, mask, dense, log_alpha):
hessian = self.X[:, mask].T @ self.X[:, mask]
return hessian
def restrict_full_supp(self, mask, dense, v):
return v
def compute_alpha_max(self):
if self.log_alpha_max is None:
alpha_max = np.max(np.abs(self.X.T @ self.y))
alpha_max /= self.X.shape[0]
self.log_alpha_max = np.log(alpha_max)
return self.log_alpha_max
def get_jac_obj(self, Xs, ys, sign_beta, dbeta, r, dr, alpha):
n_samples = self.X.shape[0]
return(
norm(dr.T @ dr + n_samples * alpha * sign_beta @ dbeta))
class WeightedLasso():
r"""Linear Model trained with weighted L1 regularizer (aka weighted Lasso)
The optimization objective for weighted Lasso is:
..math::
||y - Xw||^2_2 / (2 * n_samples) + \sum_i^{n_features} \alpha_i |wi|
Parameters
----------
X: {ndarray, sparse matrix} of (n_samples, n_features)
Data.
y: {ndarray, sparse matrix} of (n_samples)
Target
estimator: instance of ``sklearn.base.BaseEstimator``
An estimator that follows the scikit-learn API.
log_alpha_max: float
logarithm of alpha_max if already precomputed
"""
def __init__(
self, X, y, max_iter=1000, estimator=None, log_alpha_max=None):
self.X = X
self.y = y
self.max_iter = max_iter
self.estimator = estimator
self.log_alpha_max = log_alpha_max
def _init_dbeta_dr(self, X, y, mask0=None, jac0=None,
dense0=None, compute_jac=True):
n_samples, n_features = X.shape
dbeta = np.zeros((n_features, n_features))
dr = np.zeros((n_samples, n_features))
if jac0 is not None:
dbeta[np.ix_(mask0, mask0)] = jac0.copy()
dr[:, mask0] = - X[:, mask0] @ jac0
return dbeta, dr
def _init_beta_r(self, X, y, mask0=None, dense0=None):
beta = np.zeros(X.shape[1])
if dense0 is None or len(dense0) == 0:
r = y.copy()
r = r.astype(np.float)
else:
beta[mask0] = dense0.copy()
r = y - X[:, mask0] @ dense0
return beta, r
@staticmethod
@njit
def _update_beta_jac_bcd(
X, y, beta, dbeta, r, dr, alpha, L, compute_jac=True):
n_samples, n_features = X.shape
non_zeros = np.where(L != 0)[0]
for j in non_zeros:
beta_old = beta[j]
if compute_jac:
dbeta_old = dbeta[j, :].copy()
zj = beta[j] + r @ X[:, j] / (L[j] * n_samples)
beta[j:j+1] = ST(zj, alpha[j] / L[j])
if compute_jac:
dzj = dbeta[j, :] + X[:, j] @ dr / (L[j] * n_samples)
dbeta[j:j+1, :] = np.abs(np.sign(beta[j])) * dzj
dbeta[j:j+1, j] -= alpha[j] * np.sign(beta[j]) / L[j]
# update residuals
dr -= np.outer(X[:, j], (dbeta[j, :] - dbeta_old))
r -= X[:, j] * (beta[j] - beta_old)
@staticmethod
@njit
def _update_beta_jac_bcd_sparse(
data, indptr, indices, y, n_samples, n_features, beta,
dbeta, r, dr, alphas, L, compute_jac=True):
non_zeros = np.where(L != 0)[0]
for j in non_zeros:
# get the j-st column of X in sparse format
Xjs = data[indptr[j]:indptr[j+1]]
# get non zero idices
idx_nz = indices[indptr[j]:indptr[j+1]]
###########################################
beta_old = beta[j]
if compute_jac:
dbeta_old = dbeta[j, :].copy()
zj = beta[j] + r[idx_nz] @ Xjs / (L[j] * n_samples)
beta[j:j+1] = ST(zj, alphas[j] / L[j])
if compute_jac:
dzj = dbeta[j, :] + Xjs @ dr[idx_nz, :] / (L[j] * n_samples)
dbeta[j:j+1, :] = np.abs(np.sign(beta[j])) * dzj
dbeta[j:j+1, j] -= alphas[j] * np.sign(beta[j]) / L[j]
# update residuals
dr[idx_nz, :] -= np.outer(Xjs, (dbeta[j, :] - dbeta_old))
r[idx_nz] -= Xjs * (beta[j] - beta_old)
@staticmethod
@njit
def _update_bcd_jac_backward(
X, alpha, jac_t_v, beta, v_, L):
n_samples, n_features = X.shape
sign_beta = np.sign(beta)
for j in (np.arange(sign_beta.shape[0] - 1, -1, -1)):
jac_t_v[j] = jac_t_v[j] - (v_[j]) * alpha[j] * sign_beta[j] / L[j]
v_[j] *= np.abs(sign_beta[j])
v_ -= v_[j] / (L[j] * n_samples) * X[:, j] @ X
return jac_t_v
@staticmethod
def _get_pobj(r, beta, alphas, y=None):
n_samples = r.shape[0]
return (
norm(r) ** 2 / (2 * n_samples) + norm(alphas * beta, 1))
@staticmethod
def _get_pobj0(r, beta, alphas, y=None):
n_samples = r.shape[0]
return norm(y) ** 2 / (2 * n_samples)
@staticmethod
def _get_jac(dbeta, mask):
return dbeta[np.ix_(mask, mask)]
@staticmethod
def _init_dbeta0(mask, mask0, jac0):
size_mat = mask.sum()
if jac0 is None:
dbeta0_new = np.zeros((size_mat, size_mat))
else:
dbeta0_new = init_dbeta0_new_p(jac0, mask, mask0)
return dbeta0_new
@staticmethod
def _init_dbeta(n_features):
dbeta = np.zeros((n_features, n_features))
return dbeta
@staticmethod
def _init_dr(dbeta, X, y, sign_beta, alpha):
return - X @ dbeta
def _init_g_backward(self, jac_v0):
if jac_v0 is None:
return np.zeros(self.X.shape[1])
else:
return jac_v0
@staticmethod
@njit
def _update_only_jac(Xs, y, r, dbeta, dr, L, alpha, sign_beta):
n_samples, n_features = Xs.shape
for j in range(n_features):
dbeta_old = dbeta[j, :].copy()
dbeta[j:j+1, :] = dbeta[j, :] + Xs[:, j] @ dr / (L[j] * n_samples)
dbeta[j:j+1, j] -= alpha[j] * sign_beta[j] / L[j]
# update residuals
dr -= np.outer(Xs[:, j], (dbeta[j, :] - dbeta_old))
@staticmethod
@njit
def _update_only_jac_sparse(
data, indptr, indices, y, n_samples, n_features, dbeta, r, dr, L,
alpha, sign_beta):
for j in range(n_features):
# get the j-st column of X in sparse format
Xjs = data[indptr[j]:indptr[j+1]]
# get the non zero idices
idx_nz = indices[indptr[j]:indptr[j+1]]
# store old beta j for fast update
dbeta_old = dbeta[j, :].copy()
dbeta[j:j+1, :] += Xjs @ dr[idx_nz] / (L[j] * n_samples)
dbeta[j, j] -= alpha[j] * sign_beta[j] / L[j]
dr[idx_nz] -= np.outer(Xjs, (dbeta[j] - dbeta_old))
# @njit
@staticmethod
def _reduce_alpha(alpha, mask):
return alpha[mask]
@staticmethod
def get_full_jac_v(mask, jac_v, n_features):
res = np.zeros(n_features)
res[mask] = jac_v
return res
@staticmethod
def get_mask_jac_v(mask, jac_v):
return jac_v[mask]
# @staticmethod
def _get_jac_t_v(self, jac, mask, dense, alphas, v):
n_samples = self.X.shape[0]
size_supp = mask.sum()
jac_t_v = np.zeros(size_supp)
jac_t_v = n_samples * alphas[mask] * np.sign(dense) * jac
return jac_t_v
def proj_param(self, log_alpha):
"""Maybe we could do this in place.
"""
if self.log_alpha_max is None:
alpha_max = np.max(np.abs(self.X.T @ self.y))
alpha_max /= self.X.shape[0]
self.log_alpha_max = np.log(alpha_max)
proj_log_alpha = log_alpha.copy()
proj_log_alpha[proj_log_alpha < -12] = -12
if np.max(proj_log_alpha > self.log_alpha_max):
proj_log_alpha[
proj_log_alpha > self.log_alpha_max] = self.log_alpha_max
return proj_log_alpha
@staticmethod
def get_L(X, is_sparse=False):
if is_sparse:
return slinalg.norm(X, axis=0) ** 2 / (X.shape[0])
else:
return norm(X, axis=0) ** 2 / (X.shape[0])
def get_hessian(self, mask, dense, log_alpha):
hessian = self.X[:, mask].T @ self.X[:, mask]
return hessian
def _use_estimator(self, X, y, alpha, tol, max_iter):
# TODO uncomment this code when the new version of celer is released
# self.estimator.set_params(tol=tol)
# self.estimator.weights = alpha
# self.estimator.fit(X, y)
# mask = self.estimator.coef_ != 0
# dense = (self.estimator.coef_)[mask]
# return mask, dense, None
X /= alpha
self.estimator.set_params(tol=tol, alpha=1)
self.estimator.fit(X, y)
# set proper coefficients for estimator, to predict and use warm start
self.estimator.coef_ /= alpha
mask = self.estimator.coef_ != 0
dense = self.estimator.coef_[mask]
return mask, dense, None
def reduce_X(self, mask):
return self.X[:, mask]
def reduce_y(self, mask):
return self.y
def sign(self, x, log_alpha):
return np.sign(x)
def get_primal(self, mask, dense):
return mask, dense
def get_jac_v(self, mask, dense, jac, v):
return jac.T @ v(mask, dense)
def restrict_full_supp(self, mask, dense, v):
return v
def get_jac_obj(self, Xs, ys, sign_beta, dbeta, r, dr, alpha):
n_samples = self.X.shape[0]
return(
norm(dr.T @ dr + n_samples * alpha * sign_beta @ dbeta))
class SVM():
"""Support vector machines.
The optimization objective for the SVM is:
TODO
Parameters
----------
X: {ndarray, sparse matrix} of (n_samples, n_features)
Data.
y: {ndarray, sparse matrix} of (n_samples)
Target
TODO: other parameters should be remove
"""
def __init__(self, X, y, logC, max_iter=100, tol=1e-3):
self.logC = logC
self.max_iter = max_iter
self.tol = tol
self.X = X
self.y = y
def _init_dbeta_dr(self, X, y, dense0=None,
mask0=None, jac0=None, compute_jac=True):
n_samples, n_features = X.shape
dbeta = np.zeros(n_samples)
if jac0 is None or not compute_jac:
dr = np.zeros(n_features)
else:
dbeta[mask0] = jac0.copy()
if issparse(self.X):
dr = (self.X.T).multiply(y * dbeta)
dr = np.sum(dr, axis=1)
dr = np.squeeze(np.array(dr))
else:
dr = np.sum(y * dbeta * X.T, axis=1)
return dbeta, dr
def _init_beta_r(self, X, y, mask0, dense0):
beta = np.zeros(X.shape[0])
if dense0 is None:
r = np.zeros(X.shape[1])
else:
beta[mask0] = dense0
if issparse(self.X):
r = np.sum(self.X.T.multiply(y * beta), axis=1)
r = np.squeeze(np.array(r))
else:
r = np.sum(y * beta * X.T, axis=1)
return beta, r
@staticmethod
@njit
def _update_beta_jac_bcd(
X, y, beta, dbeta, r, dr, C, L, compute_jac=True):
"""
beta : dual variable of the svm
r : primal used for cheap updates
dbeta : jacobian of the dual variables
dr : jacobian of the primal variable
"""
C = C[0]
n_samples = X.shape[0]
for j in range(n_samples):
F = y[j] * np.sum(r * X[j, :]) - 1.0
beta_old = beta[j]
zj = beta[j] - F / L[j]
beta[j] = proj_box_svm(zj, C)
r += (beta[j] - beta_old) * y[j] * X[j, :]
if compute_jac:
dF = y[j] * np.sum(dr * X[j, :])
dbeta_old = dbeta[j]
dzj = dbeta[j] - dF / L[j]
dbeta[j] = ind_box(zj, C) * dzj
dbeta[j] += C * (C <= zj)
dr += (dbeta[j] - dbeta_old) * y[j] * X[j, :]
@staticmethod
@njit
def _update_beta_jac_bcd_sparse(
data, indptr, indices, y, n_samples, n_features, beta,
dbeta, r, dr, C, L, compute_jac=True):
# data needs to be a row sparse matrix
non_zeros = np.where(L != 0)[0]
C = C[0]
for j in non_zeros:
# get the i-st row of X in sparse format
Xis = data[indptr[j]:indptr[j+1]]
# get the non zero indices
idx_nz = indices[indptr[j]:indptr[j+1]]
# compute gradient_i
G = y[j] * np.sum(r[idx_nz] * Xis) - 1.0
# compute projected gradient
PG = compute_grad_proj(beta[j], G, C)
if np.abs(PG) > 1e-12:
beta_old = beta[j]
# update one coefficient SVM
zj = beta[j] - G / L[j]
beta[j] = min(max(zj, 0), C)
r[idx_nz] += (beta[j] - beta_old) * y[j] * Xis
if compute_jac:
dbeta_old = dbeta[j]
dG = y[j] * np.sum(dr[idx_nz] * Xis)
dzj = dbeta[j] - dG / L[j]
dbeta[j:j+1] = ind_box(zj, C) * dzj
dbeta[j:j+1] += C * (C <= zj)
# update residuals
dr[idx_nz] += (dbeta[j] - dbeta_old) * y[j] * Xis
def _get_pobj0(self, r, beta, C, y):
C = C[0]
n_samples = self.X.shape[0]
obj_prim = C * np.sum(np.maximum(
np.ones(n_samples), np.zeros(n_samples)))
return obj_prim
def _get_pobj(self, r, beta, C, y):
# r = y.copy()
C = C[0]
n_samples = self.X.shape[0]
obj_prim = 0.5 * norm(r) ** 2 + C * np.sum(np.maximum(
np.ones(n_samples) - (self.X @ r) * self.y, np.zeros(n_samples)))
obj_dual = 0.5 * r.T @ r - np.sum(beta)
return (obj_dual + obj_prim)
@staticmethod
def _get_jac(dbeta, mask):
return dbeta[mask]
@staticmethod
def _init_dbeta0(mask, mask0, jac0):
size_mat = mask.sum()
if jac0 is not None:
dbeta0_new = init_dbeta0_new(jac0, mask, mask0)
else:
dbeta0_new = np.zeros(size_mat)
return dbeta0_new
@staticmethod
def _init_dbeta(n_features):
dbeta = np.zeros(n_features)
return dbeta
@staticmethod
def _init_dr(dbeta, X, y, sign_beta, C):
dbeta[sign_beta == 1] = C
is_sparse = issparse(X)
if is_sparse:
res = np.array(np.sum(X.T.multiply(y * dbeta), axis=1))
return res.reshape((res.shape[0],))
else:
return np.sum(y * dbeta * X.T, axis=1)
@staticmethod
@njit
def _update_only_jac(Xs, ys, r, dbeta, dr, L, C, sign_beta):
for j in np.arange(0, Xs.shape[0])[sign_beta == 0.0]:
dF = ys[j] * np.sum(dr * Xs[j, :])
dbeta_old = dbeta[j]
dzj = dbeta[j] - (dF / L[j])
dbeta[j] = dzj
dr += (dbeta[j] - dbeta_old) * ys[j] * Xs[j, :]
@staticmethod
@njit
def _update_only_jac_sparse(
data, indptr, indices, y, n_samples, n_features,
dbeta, r, dr, L, C, sign_beta):
for j in np.arange(0, n_samples)[sign_beta == 0.0]:
# get the i-st row of X in sparse format
Xis = data[indptr[j]:indptr[j+1]]
# get the non zero idices
idx_nz = indices[indptr[j]:indptr[j+1]]
# store old beta j for fast update
dF = y[j] * np.sum(dr[idx_nz] * Xis)
dbeta_old = dbeta[j]
dzj = dbeta[j] - (dF / L[j])
dbeta[j] = dzj
dr[idx_nz] += ((dbeta[j] - dbeta_old) * y[j] * Xis)
@staticmethod
@njit
def _reduce_alpha(alpha, mask):
return alpha
@staticmethod
def get_L(X, is_sparse=False):
if is_sparse:
return slinalg.norm(X, axis=1) ** 2
else:
return norm(X, axis=1) ** 2
def reduce_X(self, mask):
return self.X[mask, :]
def reduce_y(self, mask):
return self.y[mask]
def sign(self, x, log_C):
sign = np.zeros(x.shape[0])
sign[np.isclose(x, 0.0)] = -1.0
sign[np.isclose(x, np.exp(log_C))] = 1.0
return sign
def get_jac_v(self, mask, dense, jac, v):
n_samples, n_features = self.X.shape
if issparse(self.X):
primal_jac = np.sum(self.X[mask, :].T.multiply(self.y[mask] * jac), axis=1)
primal_jac = np.squeeze(np.array(primal_jac))
primal = np.sum(self.X[mask, :].T.multiply(self.y[mask] * dense), axis=1)
primal = np.squeeze(np.array(primal))
else:
primal_jac = np.sum(self.y[mask] * jac * self.X[mask, :].T, axis=1)
primal = np.sum(self.y[mask] * dense * self.X[mask, :].T, axis=1)
mask_primal = np.repeat(True, primal.shape[0])
dense_primal = primal[mask_primal]
return primal_jac[primal_jac != 0].T @ v(mask_primal, dense_primal)[primal_jac != 0]
def get_primal(self, mask, dense):
if issparse(self.X):
primal = np.sum(self.X[mask, :].T.multiply(self.y[mask] * dense), axis=1)
primal = np.squeeze(np.array(primal))
else:
primal = np.sum(self.y[mask] * dense * self.X[mask, :].T, axis=1)
mask_primal = primal != 0
dense_primal = primal[mask_primal]
return mask_primal, dense_primal
@staticmethod
def get_full_jac_v(mask, jac_v, n_features):
return jac_v
def get_hessian(self, mask, dense, log_alpha):
beta = np.zeros(self.X.shape[0])
beta[mask] = dense
full_supp = np.logical_and(np.logical_not(np.isclose(beta, 0)), np.logical_not(np.isclose(beta, np.exp(self.logC))))
if issparse(self.X):
mat = self.X[full_supp, :].multiply(self.y[full_supp, np.newaxis])
else:
mat = self.y[full_supp, np.newaxis] * self.X[full_supp, :]
Q = mat @ mat.T
return Q
def _get_jac_t_v(self, jac, mask, dense, C, v):
C = C[0]
n_samples = self.X.shape[0]
beta = np.zeros(n_samples)
beta[mask] = dense
maskC = np.isclose(beta, C)
full_supp = np.logical_and(np.logical_not(np.isclose(beta, 0)), np.logical_not(np.isclose(beta, C)))
full_jac = np.zeros(n_samples)
if full_supp.sum() != 0:
full_jac[full_supp] = jac
full_jac[maskC] = C
maskp, densep = self.get_primal(mask, dense)
# primal dual relation
jac_primal = (self.y[mask] * full_jac[mask]) @ self.X[mask, :]
return jac_primal[maskp] @ v
# if issparse(self.X):
# mat = self.X[full_supp, :].multiply(self.y[full_supp, np.newaxis])
# Q = mat @ (self.X[maskC, :].multiply(self.y[maskC, np.newaxis])).T
# else:
# mat = self.y[full_supp, np.newaxis] * self.X[full_supp, :]
# Q = mat @ (self.y[maskC, np.newaxis] * self.X[maskC, :]).T
# u = (np.eye(Q.shape[0], Q.shape[1]) - Q) @ (np.ones(maskC.sum()) * C)
# if issparse(self.X):
# temp = self.X[maskC, :].multiply(self.y[maskC, np.newaxis])
# w = temp @ v
# else:
# w = ((self.y[maskC, np.newaxis] * self.X[maskC, :]) @ v)
# if issparse(self.X):
# return np.array(u @ jac + C * np.sum(w))[0]
# else:
# return np.array(u @ jac + C * np.sum(w))
def restrict_full_supp(self, mask, dense, v):
C = np.exp(self.logC)
n_samples = self.X.shape[0]
beta = np.zeros(n_samples)
beta[mask] = dense
maskC = np.isclose(beta, C)
full_supp = np.logical_and(np.logical_not(np.isclose(beta, 0)), np.logical_not(np.isclose(beta, C)))
if issparse(self.X):
mat = self.X[full_supp, :].multiply(self.y[full_supp, np.newaxis])
Q = mat @ (self.X[maskC, :].multiply(self.y[maskC, np.newaxis])).T
else:
mat = self.y[full_supp, np.newaxis] * self.X[full_supp, :]
Q = mat @ (self.y[maskC, np.newaxis] * self.X[maskC, :]).T
w = (np.eye(Q.shape[0], Q.shape[1]) - Q) @ (np.ones(maskC.sum()) * C)
if issparse(self.X):
return - np.array(w)[0]
else:
return - w
# n_samples = self.X.shape[0]
# beta = np.zeros(n_samples)
# beta[mask] = dense
# full_supp = np.logical_and(np.logical_not(np.isclose(beta, 0)), np.logical_not(np.isclose(beta, np.exp(self.logC))))
# if issparse(self.X):
# temp = self.X[full_supp, :].multiply(self.y[full_supp, np.newaxis])
# res = (temp @ v)
# else:
# res = ((self.y[full_supp, np.newaxis] * self.X[full_supp, :]) @ v)
# return - res
def proj_param(self, log_alpha):
if log_alpha < -16.0:
log_alpha = -16.0
elif log_alpha > 4:
log_alpha = 4
return log_alpha
def get_jac_obj(self, Xs, ys, sign_beta, dbeta, r, dr, C):
full_supp = sign_beta == 0.0
maskC = sign_beta == 1.0
if issparse(Xs):
yXdbeta = (Xs[full_supp, :].multiply(ys[full_supp, np.newaxis])).T @ dbeta[full_supp]
else:
yXdbeta = (ys[full_supp, np.newaxis] * Xs[full_supp, :]).T @ dbeta[full_supp]
q = yXdbeta.T @ yXdbeta
if issparse(Xs):
linear_term = yXdbeta.T @ ((Xs[maskC, :].multiply(ys[maskC, np.newaxis])).T @ (np.ones(maskC.sum()) * C))
else:
linear_term = yXdbeta.T @ ((ys[maskC, np.newaxis] * Xs[maskC, :]).T @ (np.ones(maskC.sum()) * C))
res = q + linear_term - C * np.sum(dbeta[full_supp])
return(
norm(res))
class SparseLogreg():
"""Sparse Logistic Regression classifier.
The objective function is:
sum_1^n_samples log(1 + e^{-y_i x_i^T w}) + 1. / C * ||w||_1
Parameters
----------
X: {ndarray, sparse matrix} of (n_samples, n_features)
Data.
y: {ndarray, sparse matrix} of (n_samples)
Target
TODO: other parameters should be remove
"""
def __init__(
self, X, y, max_iter=1000, estimator=None, log_alpha_max=None):
self.X = X
self.y = y
self.max_iter = max_iter
self.log_alpha_max = log_alpha_max
self.estimator = estimator
def _init_dbeta_dr(self, X, y, dense0=None,
mask0=None, jac0=None, compute_jac=True):
n_samples, n_features = X.shape
dbeta = np.zeros(n_features)
if jac0 is None or not compute_jac:
dr = np.zeros(n_samples)
else:
dbeta[mask0] = jac0.copy()
dr = y * (X[:, mask0] @ jac0.copy())
return dbeta, dr
def _init_beta_r(self, X, y, mask0, dense0):
beta = np.zeros(X.shape[1])
if dense0 is None:
r = np.zeros(X.shape[0])
else:
beta[mask0] = dense0
r = y * (X[:, mask0] @ dense0)
return beta, r
@staticmethod
@njit
def _update_beta_jac_bcd(
X, y, beta, dbeta, r, dr, alpha, L, compute_jac=True):
n_samples, n_features = X.shape
for j in range(n_features):
beta_old = beta[j]
if compute_jac:
dbeta_old = dbeta[j]
# compute derivatives
sigmar = sigma(r)
grad_j = X[:, j] @ (y * (sigmar - 1))
L_temp = np.sum(X[:, j] ** 2 * sigmar * (1 - sigmar))
L_temp /= n_samples
zj = beta[j] - grad_j / (L_temp * n_samples)
beta[j] = ST(zj, alpha[j] / L_temp)
r += y * X[:, j] * (beta[j] - beta_old)
if compute_jac:
dsigmar = sigmar * (1 - sigmar) * dr
hess_fj = X[:, j] @ (y * dsigmar)
dzj = dbeta[j] - hess_fj / (L_temp * n_samples)
dbeta[j:j+1] = np.abs(np.sign(beta[j])) * dzj
dbeta[j:j+1] -= alpha[j] * np.sign(beta[j]) / L_temp
# update residuals
dr += y * X[:, j] * (dbeta[j] - dbeta_old)
@staticmethod
@njit
def _update_beta_jac_bcd_sparse(
data, indptr, indices, y, n_samples, n_features, beta,
dbeta, r, dr, alphas, L, compute_jac=True):
for j in range(n_features):
# get the j-st column of X in sparse format
Xjs = data[indptr[j]:indptr[j+1]]
# get the non zero indices
idx_nz = indices[indptr[j]:indptr[j+1]]
beta_old = beta[j]
if compute_jac:
dbeta_old = dbeta[j]
sigmar = sigma(r[idx_nz])
grad_j = Xjs @ (y[idx_nz] * (sigmar - 1))
L_temp = (Xjs ** 2 * sigmar * (1 - sigmar)).sum()
# Xjs2 = (Xjs ** 2 * sigmar * (1 - sigmar)).sum()
# temp1 =
# # temp2 = temp1 * Xjs2
# L_temp = temp2.sum()
L_temp /= n_samples
if L_temp != 0:
zj = beta[j] - grad_j / (L_temp * n_samples)
beta[j:j+1] = ST(zj, alphas[j] / L_temp)
if compute_jac:
dsigmar = sigmar * (1 - sigmar) * dr[idx_nz]
hess_fj = Xjs @ (y[idx_nz] * dsigmar)
dzj = dbeta[j] - hess_fj / (L_temp * n_samples)
dbeta[j:j+1] = np.abs(np.sign(beta[j])) * dzj
dbeta[j:j+1] -= alphas[j] * np.sign(beta[j]) / L_temp
# update residuals
dr[idx_nz] += y[idx_nz] * Xjs * (dbeta[j] - dbeta_old)
r[idx_nz] += y[idx_nz] * Xjs * (beta[j] - beta_old)
@staticmethod
@njit
# TODO
def _update_bcd_jac_backward(X, alpha, grad, beta, v_t_jac, L):
sign_beta = np.sign(beta)
r = X @ beta
n_samples, n_features = X.shape
for j in (np.arange(sign_beta.shape[0] - 1, -1, -1)):
hess_fj = sigma(r) * (1 - sigma(r))
grad -= (v_t_jac[j]) * alpha * sign_beta[j] / L[j]
v_t_jac[j] *= np.abs(sign_beta[j])
v_t_jac -= v_t_jac[j] / (
L[j] * n_samples) * (X[:, j] * hess_fj) @ X
r += X[:, j] * (beta[j-1] - beta[j])
return grad
@staticmethod
def _get_pobj(r, beta, alphas, y):
n_samples = r.shape[0]
return (
np.sum(np.log(1 + np.exp(- r))) / (n_samples) + np.abs(alphas * beta).sum())
@staticmethod
def _get_pobj0(r, beta, alphas, y):
n_samples = r.shape[0]
return np.log(2) / n_samples
# return (np.sum(np.log(1)) / (n_samples))
# return (np.sum(np.log(1)) / (n_samples))
@staticmethod
def _get_jac(dbeta, mask):
return dbeta[mask]
@staticmethod
def get_full_jac_v(mask, jac_v, n_features):
return jac_v
@staticmethod
def get_mask_jac_v(mask, jac_v):
return jac_v
@staticmethod
def _init_dbeta0(mask, mask0, jac0):
size_mat = mask.sum()
if jac0 is not None:
dbeta0_new = init_dbeta0_new(jac0, mask, mask0)
else:
dbeta0_new = np.zeros(size_mat)
return dbeta0_new
@staticmethod
def _init_dbeta(n_features):
dbeta = np.zeros(n_features)
return dbeta
@staticmethod
def _init_dr(dbeta, X, y, sign_beta, alpha):
return y * (X @ dbeta)
def _init_g_backward(self, jac_v0):
if jac_v0 is None:
return 0.0
else:
return jac_v0
@staticmethod
@njit
def _update_only_jac(Xs, y, r, dbeta, dr, L, alpha, sign_beta):
n_samples, n_features = Xs.shape
for j in range(n_features):
sigmar = sigma(r)
L_temp = np.sum(Xs[:, j] ** 2 * sigmar * (1 - sigmar))
L_temp /= n_samples
dbeta_old = dbeta[j]
dsigmar = sigmar * (1 - sigmar) * dr
hess_fj = Xs[:, j] @ (y * dsigmar)
dbeta[j:j+1] += - hess_fj / (L_temp * n_samples)
dbeta[j:j+1] -= alpha * sign_beta[j] / L_temp
# update residuals
dr += y * Xs[:, j] * (dbeta[j] - dbeta_old)
@staticmethod
@njit
def _update_only_jac_sparse(
data, indptr, indices, y, n_samples, n_features,
dbeta, r, dr, L, alpha, sign_beta):
for j in range(n_features):
# get the j-st column of X in sparse format
Xjs = data[indptr[j]:indptr[j+1]]
# get the non zero idices
idx_nz = indices[indptr[j]:indptr[j+1]]
sigmar = sigma(r[idx_nz])
L_temp = np.sum(Xjs ** 2 * sigmar * (1 - sigmar))
L_temp /= n_samples
if L_temp != 0:
# store old beta j for fast update
dbeta_old = dbeta[j]
dsigmar = sigmar * (1 - sigmar) * dr[idx_nz]
hess_fj = Xjs @ (y[idx_nz] * dsigmar)
# update of the Jacobian dbeta
dbeta[j] -= hess_fj / (L_temp * n_samples)
dbeta[j] -= alpha * sign_beta[j] / L_temp
dr[idx_nz] += y[idx_nz] * Xjs * (dbeta[j] - dbeta_old)
@staticmethod
@njit
def _reduce_alpha(alpha, mask):
return alpha
# @staticmethod
def _get_jac_t_v(self, jac, mask, dense, alphas, v):
n_samples = self.X.shape[0]
return n_samples * alphas[mask] * np.sign(dense) @ jac
def proj_param(self, log_alpha):
if self.log_alpha_max is None:
alpha_max = np.max(np.abs(self.X.T @ self.y))
alpha_max /= (4 * self.X.shape[0])
self.log_alpha_max = np.log(alpha_max)
if log_alpha < -18:
return - 18.0
elif log_alpha > self.log_alpha_max + np.log(0.9):
return self.log_alpha_max + np.log(0.9)
else:
return log_alpha
@staticmethod
def get_L(X, is_sparse=False):
return 0.0
def reduce_X(self, mask):
return self.X[:, mask]
def reduce_y(self, mask):
return self.y
def sign(self, x, log_alpha):
return np.sign(x)
def get_primal(self, mask, dense):
return mask, dense
def get_jac_v(self, mask, dense, jac, v):
return jac.T @ v(mask, dense)
def get_hessian(self, mask, dense, log_alpha):
a = self.y * (self.X[:, mask] @ dense)
temp = sigma(a) * (1 - sigma(a))
is_sparse = issparse(self.X)
if is_sparse:
hessian = csc_matrix(
self.X[:, mask].T.multiply(temp)) @ self.X[:, mask]
else:
hessian = (self.X[:, mask].T * temp) @ self.X[:, mask]
return hessian
def restrict_full_supp(self, mask, dense, v):
return v
def compute_alpha_max(self):
if self.log_alpha_max is None:
alpha_max = np.max(np.abs(self.X.T @ self.y))
alpha_max /= (4 * self.X.shape[0])
self.log_alpha_max = np.log(alpha_max)
return self.log_alpha_max
def get_jac_obj(self, Xs, ys, sign_beta, dbeta, r, dr, alpha):
n_samples = self.X.shape[0]
return(
norm(dr.T @ dr + n_samples * alpha * sign_beta @ dbeta))
def _use_estimator(self, X, y, alpha, tol, max_iter):
n_samples = X.shape[0]
if self.estimator is None:
raise ValueError("You did not pass a solver with sklearn API")
self.estimator.set_params(tol=tol, C=1/(alpha*n_samples))
self.estimator.max_iter = self.max_iter
self.estimator.fit(X, y)
mask = self.estimator.coef_ != 0
dense = self.estimator.coef_[mask]
return mask[0], dense, None
class SVR():
"""
Should we remove the SVR?
Sparse Logistic Regression classifier.
The objective function is:
TODO
Parameters
----------
X: {ndarray, sparse matrix} of (n_samples, n_features)
Data.
y: {ndarray, sparse matrix} of (n_samples)
Target
TODO: other parameters should be remove
"""
def __init__(self, X, y, logC, log_epsilon, max_iter=100, tol=1e-3):
self.hyperparam = np.array([logC, log_epsilon])
self.max_iter = max_iter
self.tol = tol
self.X = X
self.y = y
def _init_dbeta_dr(self, X, y, dense0=None,
mask0=None, jac0=None, compute_jac=True):
n_samples, n_features = X.shape
dbeta = np.zeros((2 * n_samples, 2))
if jac0 is None or not compute_jac:
dr = np.zeros((n_features, 2))
else:
dbeta[mask0, :] = jac0.copy()
if issparse(self.X):
dr = (self.X.T).multiply(y * dbeta)
dr = np.sum(dr, axis=1)
dr = np.squeeze(np.array(dr))
else:
dr = X.T @ (dbeta[0:n_samples] - dbeta[n_samples:(2 * n_samples)])
return dbeta, dr
def _init_beta_r(self, X, y, mask0, dense0):
n_samples, n_features = X.shape
beta = np.zeros(2 * n_samples)
if dense0 is None:
r = np.zeros(n_features)
else:
beta[mask0] = dense0
if issparse(self.X):
r = np.sum(self.X.T.multiply(y * beta), axis=1)
r = np.squeeze(np.array(r))
else:
r = X.T @ (beta[0:n_samples] - beta[n_samples:(2 * n_samples)])
return beta, r
@staticmethod
# @njit
def _update_beta_jac_bcd(
X, y, beta, dbeta, r, dr, hyperparam, L, compute_jac=True):
"""
beta : dual variable of the svm
r : primal used for cheap updates
dbeta : jacobian of the dual variables
dr : jacobian of the primal variable
"""
C = hyperparam[0]
epsilon = hyperparam[1]
n_samples = X.shape[0]
for j in range(2 * n_samples):
if j < n_samples:
F = np.sum(r * X[j, :]) + epsilon - y[j]
beta_old = beta[j]
zj = beta[j] - F / L[j]
beta[j] = proj_box_svm(zj, C)
r += (beta[j] - beta_old) * X[j, :]
if compute_jac:
dF = np.array([np.sum(dr[:, 0].T * X[j, :]), epsilon + np.sum(dr[:, 1].T * X[j, :])])
dbeta_old = dbeta[j, :]
dzj = dbeta[j, :] - dF / L[j]
dbeta[j, :] = ind_box(zj, C) * dzj
dbeta[j, 0] += C * (C <= zj)
dr[:, 0] += (dbeta[j, 0] - dbeta_old[0]) * X[j, :]
dr[:, 1] += (dbeta[j, 1] - dbeta_old[1]) * X[j, :]
if j >= n_samples:
F = - np.sum(r * X[j - n_samples, :]) + epsilon + y[j - n_samples]
beta_old = beta[j]
zj = beta[j] - F / L[j - n_samples]
beta[j] = proj_box_svm(zj, C)
r -= (beta[j] - beta_old) * X[j - n_samples, :]
if compute_jac:
dF = np.array([- np.sum(dr[:, 0].T * X[j - n_samples, :]), - np.sum(dr[:, 1].T * X[j - n_samples, :] + epsilon)])
dbeta_old = dbeta[j, :]
dzj = dbeta[j, :] - dF / L[j - n_samples]
dbeta[j, :] = ind_box(zj, C) * dzj
dbeta[j, 0] += C * (C <= zj)
dr[:, 0] -= (dbeta[j, 0] - dbeta_old[0]) * X[j - n_samples, :]
dr[:, 1] -= (dbeta[j, 1] - dbeta_old[1]) * X[j - n_samples, :]
@staticmethod
@njit
def _update_beta_jac_bcd_sparse(
data, indptr, indices, y, n_samples, n_features, beta,
dbeta, r, dr, C, L, compute_jac=True):
# data needs to be a row sparse matrix
non_zeros = np.where(L != 0)[0]
C = C[0]
for j in non_zeros:
# get the i-st row of X in sparse format
Xis = data[indptr[j]:indptr[j+1]]
# get the non zero indices
idx_nz = indices[indptr[j]:indptr[j+1]]
# compute gradient_i
G = y[j] * np.sum(r[idx_nz] * Xis) - 1.0
# compute projected gradient
PG = compute_grad_proj(beta[j], G, C)
if np.abs(PG) > 1e-12:
beta_old = beta[j]
# update one coefficient SVM
zj = beta[j] - G / L[j]
beta[j] = min(max(zj, 0), C)
r[idx_nz] += (beta[j] - beta_old) * y[j] * Xis
if compute_jac:
dbeta_old = dbeta[j]
dG = y[j] * np.sum(dr[idx_nz] * Xis)
dzj = dbeta[j] - dG / L[j]
dbeta[j:j+1] = ind_box(zj, C) * dzj
dbeta[j:j+1] += C * (C <= zj)
# update residuals
dr[idx_nz] += (dbeta[j] - dbeta_old) * y[j] * Xis
def _get_pobj0(self, r, beta, hyperparam, y):
n_samples = self.X.shape[0]
obj_prim = hyperparam[0] * np.sum(np.maximum(
np.abs(y) - hyperparam[1], np.zeros(n_samples)))
return obj_prim
def _get_pobj(self, r, beta, hyperparam, y):
# r = y.copy()
n_samples = self.X.shape[0]
obj_prim = 0.5 * norm(r) ** 2 + hyperparam[0] * np.sum(np.maximum(
np.abs(self.X @ r - y) - hyperparam[1], np.zeros(n_samples)))
obj_dual = 0.5 * r.T @ r + hyperparam[1] * np.sum(beta)
obj_dual -= np.sum(y * (beta[0:n_samples] - beta[n_samples:(2 * n_samples)]))
return (obj_dual + obj_prim)
@staticmethod
def _get_jac(dbeta, mask):
return dbeta[mask, :]
@staticmethod
def _init_dbeta0(mask, mask0, jac0):
size_mat = mask.sum()
if jac0 is not None:
dbeta0_new = init_dbeta0_new(jac0, mask, mask0)
else:
dbeta0_new = np.zeros(size_mat)
return dbeta0_new
@staticmethod
def _init_dbeta(n_features):
dbeta = np.zeros((2 * n_features, 2))
return dbeta
@staticmethod
def _init_dr(dbeta, X, y, sign_beta, alpha):
is_sparse = issparse(X)
if is_sparse:
res = np.array(np.sum(X.T.multiply(y * dbeta), axis=1))
return res.reshape((res.shape[0],))
else:
return X.T @ dbeta
@staticmethod
@njit
def _update_only_jac(Xs, ys, r, dbeta, dr, L, hyperparam, sign_beta):
supp = np.where(sign_beta == 0.0)
dbeta[sign_beta == 1.0, :] = np.array([hyperparam[0], 0])
dr = Xs.T @ dbeta
n_samples = L.shape[0]
for j in supp[0]:
if j < n_samples:
dF = np.array([np.sum(dr * Xs[j, :]), hyperparam[1]])
dbeta_old = dbeta[j, :]
dzj = dbeta[j, :] - dF / L[j]
dbeta[j, :] = dzj
dr += (dbeta[j, :] - dbeta_old) * Xs[j, :]
if j >= n_samples:
dF = np.array([- np.sum(dr * Xs[j - n_samples, :]), hyperparam[1]])
dbeta_old = dbeta[j, :]
dzj = dbeta[j, :] - dF / L[j - n_samples]
dbeta[j, :] = dzj
dr -= (dbeta[j, :] - dbeta_old) * Xs[j - n_samples, :]
@staticmethod
@njit
def _update_only_jac_sparse(
data, indptr, indices, y, n_samples, n_features,
dbeta, r, dr, L, C, sign_beta):
supp = np.where(sign_beta == 0.0)
for j in np.where(sign_beta == 1.0)[0]:
Xis = data[indptr[j]:indptr[j+1]]
idx_nz = indices[indptr[j]:indptr[j+1]]
dr[idx_nz] += ((C - dbeta[j]) * y[j] * Xis)
dbeta[sign_beta == 1.0] = C
for j in supp[0]:
# get the i-st row of X in sparse format
Xis = data[indptr[j]:indptr[j+1]]
# get the non zero idices
idx_nz = indices[indptr[j]:indptr[j+1]]
# store old beta j for fast update
dF = y[j] * np.sum(dr[idx_nz] * Xis)
dbeta_old = dbeta[j]
dzj = dbeta[j] - (dF / L[j])
dbeta[j] = dzj
dr[idx_nz] += ((dbeta[j] - dbeta_old) * y[j] * Xis)
@staticmethod
@njit
def _reduce_alpha(alpha, mask):
return alpha
@staticmethod
def get_L(X, is_sparse=False):
if is_sparse:
return slinalg.norm(X, axis=1) ** 2
else:
return norm(X, axis=1) ** 2
def reduce_X(self, mask):
return self.X[mask, :]
def reduce_y(self, mask):
return self.y[mask]
def sign(self, x, log_alpha):
sign = np.zeros(x.shape[0])
sign[np.isclose(x, 0.0)] = -1.0
sign[np.isclose(x, np.exp(self.logC))] = 1.0
return sign
def get_jac_v(self, mask, dense, jac, v):
n_samples, n_features = self.X.shape
if issparse(self.X):
primal_jac = np.sum(self.X[mask, :].T.multiply(self.y[mask] * jac), axis=1)
primal_jac = np.squeeze(np.array(primal_jac))
primal = np.sum(self.X[mask, :].T.multiply(self.y[mask] * dense), axis=1)
primal = np.squeeze(np.array(primal))
else:
primal_jac = self.X[mask, :].T @ jac
primal = self.X[mask, :].T
mask_primal = np.repeat(True, primal.shape[0])
dense_primal = primal[mask_primal]
return primal_jac[primal_jac != 0].T @ v(mask_primal, dense_primal)[primal_jac != 0]
def get_primal(self, mask, dense):
if issparse(self.X):
primal = np.sum(self.X[mask, :].T.multiply(self.y[mask] * dense), axis=1)
primal = np.squeeze(np.array(primal))
else:
primal = np.sum(self.y[mask] * dense * self.X[mask, :].T, axis=1)
mask_primal = primal != 0
dense_primal = primal[mask_primal]
return mask_primal, dense_primal
@staticmethod
def get_full_jac_v(mask, jac_v, n_features):
return jac_v
def get_hessian(self, mask, dense, log_alpha):
beta = np.zeros(self.X.shape[0])
beta[mask] = dense
full_supp = np.logical_and(np.logical_not(np.isclose(beta, 0)), np.logical_not(np.isclose(beta, np.exp(self.hyperparam[0]))))
Q = self.X[full_supp, :] @ self.X[full_supp, :].T
return Q
def _get_jac_t_v(self, jac, mask, dense, C, v):
C = C[0]
n_samples = self.X.shape[0]
beta = np.zeros(n_samples)
beta[mask] = dense
maskC = np.isclose(beta, C)
full_supp = np.logical_and(np.logical_not(np.isclose(beta, 0)), np.logical_not(np.isclose(beta, C)))
full_jac = np.zeros(n_samples)
full_jac[full_supp] = jac
full_jac[maskC] = C
# primal dual relation
jac_primal = (self.y[mask] * full_jac[mask]) @ self.X[mask, :]
return jac_primal @ v
# if issparse(self.X):
# mat = self.X[full_supp, :].multiply(self.y[full_supp, np.newaxis])
# Q = mat @ (self.X[maskC, :].multiply(self.y[maskC, np.newaxis])).T
# else:
# mat = self.y[full_supp, np.newaxis] * self.X[full_supp, :]
# Q = mat @ (self.y[maskC, np.newaxis] * self.X[maskC, :]).T
# u = (np.eye(Q.shape[0], Q.shape[1]) - Q) @ (np.ones(maskC.sum()) * C)
# if issparse(self.X):
# temp = self.X[maskC, :].multiply(self.y[maskC, np.newaxis])
# w = temp @ v
# else:
# w = ((self.y[maskC, np.newaxis] * self.X[maskC, :]) @ v)
# if issparse(self.X):
# return np.array(u @ jac + C * np.sum(w))[0]
# else:
# return np.array(u @ jac + C * np.sum(w))
def restrict_full_supp(self, mask, dense, v):
C = np.exp(self.logC)
n_samples = self.X.shape[0]
beta = np.zeros(n_samples)
beta[mask] = dense
maskC = np.isclose(beta, C)
full_supp = np.logical_and(np.logical_not(np.isclose(beta, 0)), np.logical_not(np.isclose(beta, C)))
if issparse(self.X):
mat = self.X[full_supp, :].multiply(self.y[full_supp, np.newaxis])
Q = mat @ (self.X[maskC, :].multiply(self.y[maskC, np.newaxis])).T
else:
mat = self.y[full_supp, np.newaxis] * self.X[full_supp, :]
Q = mat @ (self.y[maskC, np.newaxis] * self.X[maskC, :]).T
w = (np.eye(Q.shape[0], Q.shape[1]) - Q) @ (np.ones(maskC.sum()) * C)
if issparse(self.X):
return - np.array(w)[0]
else:
return - w
# n_samples = self.X.shape[0]
# beta = np.zeros(n_samples)
# beta[mask] = dense
# full_supp = np.logical_and(np.logical_not(np.isclose(beta, 0)), np.logical_not(np.isclose(beta, np.exp(self.logC))))
# if issparse(self.X):
# temp = self.X[full_supp, :].multiply(self.y[full_supp, np.newaxis])
# res = (temp @ v)
# else:
# res = ((self.y[full_supp, np.newaxis] * self.X[full_supp, :]) @ v)
# return - res
def proj_param(self, log_alpha):
if log_alpha < -16.0:
log_alpha = -16.0
elif log_alpha > 4:
log_alpha = 4
return log_alpha
def get_jac_obj(self, Xs, ys, sign_beta, dbeta, r, dr, C):
full_supp = sign_beta == 0.0
maskC = sign_beta == 1.0
if issparse(Xs):
yXdbeta = (Xs[full_supp, :].multiply(ys[full_supp, np.newaxis])).T @ dbeta[full_supp]
else:
yXdbeta = (ys[full_supp, np.newaxis] * Xs[full_supp, :]).T @ dbeta[full_supp]
q = yXdbeta.T @ yXdbeta
if issparse(Xs):
linear_term = yXdbeta.T @ ((Xs[maskC, :].multiply(ys[maskC, np.newaxis])).T @ (np.ones(maskC.sum()) * C))
else:
linear_term = yXdbeta.T @ ((ys[maskC, np.newaxis] * Xs[maskC, :]).T @ (np.ones(maskC.sum()) * C))
res = q + linear_term - C * np.sum(dbeta[full_supp])
return(
norm(res))
class ElasticNet():
def __init__(
self, X, y, max_iter=1000, estimator=None, log_alpha_max=None):
self.X = X
self.y = y
self.max_iter = max_iter
self.log_alpha_max = log_alpha_max
self.estimator = estimator
def _init_dbeta_dr(self, X, y, mask0=None, jac0=None,
dense0=None, compute_jac=True):
n_samples, n_features = X.shape
dbeta = np.zeros((n_features, 2))
if jac0 is None or not compute_jac:
dr = np.zeros((n_samples, 2))
else:
dbeta[mask0, :] = jac0.copy()
dr = - X[:, mask0] @ jac0.copy()
return dbeta, dr
def _init_beta_r(self, X, y, mask0=None, dense0=None):
beta = np.zeros(X.shape[1])
if dense0 is None or len(dense0) == 0:
r = y.copy()
r = r.astype(np.float)
else:
beta[mask0] = dense0.copy()
r = y - X[:, mask0] @ dense0
return beta, r
@staticmethod
@njit
def _update_beta_jac_bcd(
X, y, beta, dbeta, r, dr, alpha, L, compute_jac=True):
n_samples, n_features = X.shape
non_zeros = np.where(L != 0)[0]
for j in non_zeros:
beta_old = beta[j]
if compute_jac:
dbeta_old = dbeta[j, :].copy()
# compute derivatives
zj = beta[j] + r @ X[:, j] / (L[j] * n_samples)
beta[j] = prox_elasticnet(zj, alpha[0] / L[j], alpha[1] / L[j])
if compute_jac:
dzj = dbeta[j, :] + X[:, j] @ dr / (L[j] * n_samples)
dbeta[j:j+1, :] = (1 / (1 + alpha[1] / L[j])) * np.abs(np.sign(beta[j])) * dzj
dbeta[j:j+1, 0] -= (alpha[0] * np.sign(beta[j])) / L[j] / (1 + alpha[1] / L[j])
dbeta[j:j+1, 1] -= (alpha[1] / L[j] * beta[j]) / (1 + alpha[1] / L[j])
# update residuals
dr[:, 0] -= X[:, j] * (dbeta[j, 0] - dbeta_old[0])
dr[:, 1] -= X[:, j] * (dbeta[j, 1] - dbeta_old[1])
r -= X[:, j] * (beta[j] - beta_old)
@staticmethod
@njit
def _update_beta_jac_bcd_sparse(
data, indptr, indices, y, n_samples, n_features, beta,
dbeta, r, dr, alphas, L, compute_jac=True):
non_zeros = np.where(L != 0)[0]
for j in non_zeros:
# get the j-st column of X in sparse format
Xjs = data[indptr[j]:indptr[j+1]]
# get the non zero indices
idx_nz = indices[indptr[j]:indptr[j+1]]
beta_old = beta[j]
if compute_jac:
dbeta_old = dbeta[j, :].copy()
zj = beta[j] + r[idx_nz] @ Xjs / (L[j] * n_samples)
beta[j:j+1] = prox_elasticnet(zj, alphas[0] / L[j], alphas[1] / L[j])
if compute_jac:
dzj = dbeta[j, :] + Xjs @ dr[idx_nz, :] / (L[j] * n_samples)
dbeta[j:j+1, :] = (1 / (1 + alphas[1] / L[j])) * np.abs(np.sign(beta[j])) * dzj
dbeta[j:j+1, 0] -= alphas[0] * np.sign(beta[j]) / L[j] / (1 + (alphas[1] / L[j]))
dbeta[j:j+1, 1] -= (alphas[1] / L[j] * beta[j]) / (1 + (alphas[1] / L[j]))
# update residuals
dr[idx_nz, 0] -= Xjs * (dbeta[j, 0] - dbeta_old[0])
dr[idx_nz, 1] -= Xjs * (dbeta[j, 1] - dbeta_old[1])
r[idx_nz] -= Xjs * (beta[j] - beta_old)
@staticmethod
@njit
def _update_bcd_jac_backward(X, alpha, grad, beta, v_t_jac, L):
sign_beta = np.sign(beta)
n_samples, n_features = X.shape
for j in (np.arange(sign_beta.shape[0] - 1, -1, -1)):
grad -= (v_t_jac[j]) * alpha * sign_beta[j] / L[j]
v_t_jac[j] *= np.abs(sign_beta[j])
v_t_jac -= v_t_jac[j] / (L[j] * n_samples) * X[:, j] @ X
return grad
@staticmethod
def _get_pobj0(r, beta, alphas, y=None):
n_samples = r.shape[0]
return norm(y) ** 2 / (2 * n_samples)
@staticmethod
def _get_pobj(r, beta, alphas, y=None):
n_samples = r.shape[0]
pobj = norm(r) ** 2 / (2 * n_samples) + np.abs(alphas[0] * beta).sum()
pobj += 0.5 * alphas[1] * norm(beta) ** 2
return pobj
@staticmethod
def _get_jac(dbeta, mask):
return dbeta[mask, :]
@staticmethod
def get_full_jac_v(mask, jac_v, n_features):
return jac_v
@staticmethod
def get_mask_jac_v(mask, jac_v):
return jac_v
@staticmethod
def _init_dbeta0(mask, mask0, jac0):
size_mat = mask.sum()
if jac0 is not None:
mask_both = np.logical_and(mask0, mask)
size_mat = mask.sum()
dbeta0_new = np.zeros((size_mat, 2))
count = 0
count_old = 0
n_features = mask.shape[0]
for j in range(n_features):
if mask_both[j]:
dbeta0_new[count, :] = jac0[count_old, :]
if mask0[j]:
count_old += 1
if mask[j]:
count += 1
else:
dbeta0_new = np.zeros((size_mat, 2))
return dbeta0_new
@staticmethod
def _init_dbeta(n_features):
dbeta = np.zeros((n_features, 2))
return dbeta
@staticmethod
def _init_dr(dbeta, X, y, sign_beta, alpha):
return - X @ dbeta
def _init_g_backward(self, jac_v0):
if jac_v0 is None:
return 0.0
else:
return jac_v0
@staticmethod
@njit
def _update_only_jac(Xs, y, r, dbeta, dr, L, alpha, beta):
n_samples, n_features = Xs.shape
for j in range(n_features):
dbeta_old = dbeta[j, :].copy()
dzj = dbeta[j, :] + Xs[:, j] @ dr / (L[j] * n_samples)
dbeta[j:j+1, :] = (1 / (1 + alpha[1] / L[j])) * dzj
dbeta[j:j+1, 0] -= (alpha[0] * np.sign(beta[j])) / L[j] / (1 + alpha[1] / L[j])
dbeta[j:j+1, 1] -= (alpha[1] / L[j] * beta[j]) / (1 + alpha[1] / L[j])
# update residuals
dr[:, 0] -= Xs[:, j] * (dbeta[j, 0] - dbeta_old[0])
dr[:, 1] -= Xs[:, j] * (dbeta[j, 1] - dbeta_old[1])
@staticmethod
@njit
def _update_only_jac_sparse(
data, indptr, indices, y, n_samples, n_features,
dbeta, r, dr, L, alpha, beta):
for j in range(n_features):
# get the j-st column of X in sparse format
Xjs = data[indptr[j]:indptr[j+1]]
# get the non zero idices
idx_nz = indices[indptr[j]:indptr[j+1]]
# store old beta j for fast update
dbeta_old = dbeta[j, :].copy()
dzj = dbeta[j, :] + Xjs @ dr[idx_nz, :] / (L[j] * n_samples)
dbeta[j:j+1, :] = (1 / (1 + alpha[1] / L[j])) * dzj
dbeta[j:j+1, 0] -= (alpha[0] * np.sign(beta[j])) / L[j] / (1 + alpha[1] / L[j])
dbeta[j:j+1, 1] -= (alpha[1] / L[j] * beta[j]) / (1 + alpha[1] / L[j])
# update residuals
dr[idx_nz, 0] -= Xjs * (dbeta[j, 0] - dbeta_old[0])
dr[idx_nz, 1] -= Xjs * (dbeta[j, 1] - dbeta_old[1])
@staticmethod
@njit
def _reduce_alpha(alpha, mask):
return alpha
# @staticmethod
def _get_jac_t_v(self, jac, mask, dense, alphas, v):
return np.array([alphas[0] * np.sign(dense) @ jac, alphas[1] * dense @ jac])
def proj_param(self, log_alpha):
if self.log_alpha_max is None:
alpha_max = np.max(np.abs(self.X.T @ self.y))
alpha_max /= self.X.shape[0]
self.log_alpha_max = np.log(alpha_max)
if log_alpha[0] < self.log_alpha_max - 7:
log_alpha[0] = self.log_alpha_max - 7
elif log_alpha[0] > self.log_alpha_max + np.log(0.9):
log_alpha[0] = self.log_alpha_max + np.log(0.9)
if log_alpha[1] < self.log_alpha_max - 7:
log_alpha[1] = self.log_alpha_max - 7
elif log_alpha[1] > self.log_alpha_max + np.log(0.9):
log_alpha[1] = self.log_alpha_max + np.log(0.9)
return log_alpha
@staticmethod
def get_L(X, is_sparse=False):
# print(is_sparse)
if is_sparse:
return slinalg.norm(X, axis=0) ** 2 / (X.shape[0])
else:
return norm(X, axis=0) ** 2 / (X.shape[0])
def _use_estimator(self, X, y, alpha, tol, max_iter):
if self.estimator is None:
raise ValueError("You did not pass a solver with sklearn API")
self.estimator.set_params(
tol=tol, alpha=alpha[0]+alpha[1],
l1_ratio=alpha[0]/(alpha[0]+alpha[1]))
self.estimator.fit(X, y)
mask = self.estimator.coef_ != 0
dense = self.estimator.coef_[mask]
return mask, dense, None
def reduce_X(self, mask):
return self.X[:, mask]
def reduce_y(self, mask):
return self.y
def sign(self, x, log_alpha):
return x
def get_primal(self, mask, dense):
return mask, dense
def get_jac_v(self, mask, dense, jac, v):
return jac.T @ v(mask, dense)
def get_hessian(self, mask, dense, log_alpha):
n_samples = self.X.shape[0]
hessian = np.exp(log_alpha[1]) * np.eye(mask.sum()) + (1 / n_samples) * self.X[:, mask].T @ self.X[:, mask]
return hessian
def restrict_full_supp(self, mask, dense, v):
return v
def compute_alpha_max(self):
if self.log_alpha_max is None:
alpha_max = np.max(np.abs(self.X.T @ self.y))
alpha_max /= self.X.shape[0]
self.log_alpha_max = np.log(alpha_max)
return self.log_alpha_max
def get_jac_obj(self, Xs, ys, beta, dbeta, r, dr, alpha):
n_samples = self.X.shape[0]
res1 = (1 / n_samples) * dr[:, 0].T @ dr[:, 0] + alpha[1] * dbeta[:, 0].T @ dbeta[:, 0] + alpha[0] * np.sign(beta) @ dbeta[:, 0]
res2 = (1 / n_samples) * dr[:, 1].T @ dr[:, 1] + alpha[1] * dbeta[:, 1].T @ dbeta[:, 1] + alpha[1] * beta @ dbeta[:, 1]
return(
norm(res2) + norm(res1))
| 35.754601 | 136 | 0.521698 | 9,339 | 64,108 | 3.417068 | 0.030303 | 0.044372 | 0.018958 | 0.020776 | 0.922098 | 0.904393 | 0.890167 | 0.874279 | 0.855728 | 0.837052 | 0 | 0.018439 | 0.336775 | 64,108 | 1,792 | 137 | 35.774554 | 0.732113 | 0.102873 | 0 | 0.813244 | 0 | 0 | 0.002213 | 0 | 0 | 0 | 0 | 0.003906 | 0 | 1 | 0.130208 | false | 0.002232 | 0.005952 | 0.040923 | 0.256696 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
25770d393422051b4aaeea20a76294a3305f70a0 | 4,893 | py | Python | a10sdk/core/gslb/gslb_dns.py | deepfield/a10sdk-python | bfaa58099f51f085d5e91652d1d1a3fd5c529d5d | [
"Apache-2.0"
] | 16 | 2015-05-20T07:26:30.000Z | 2021-01-23T11:56:57.000Z | a10sdk/core/gslb/gslb_dns.py | deepfield/a10sdk-python | bfaa58099f51f085d5e91652d1d1a3fd5c529d5d | [
"Apache-2.0"
] | 6 | 2015-03-24T22:07:11.000Z | 2017-03-28T21:31:18.000Z | a10sdk/core/gslb/gslb_dns.py | deepfield/a10sdk-python | bfaa58099f51f085d5e91652d1d1a3fd5c529d5d | [
"Apache-2.0"
] | 23 | 2015-03-29T15:43:01.000Z | 2021-06-02T17:12:01.000Z | from a10sdk.common.A10BaseClass import A10BaseClass
class SamplingEnable(A10BaseClass):
"""This class does not support CRUD Operations please use parent.
:param counters1: {"enum": ["all", "total-query", "total-response", "bad-packet-query", "bad-packet-response", "bad-header-query", "bad-header-response", "bad-format-query", "bad-format-response", "bad-service-query", "bad-service-response", "bad-class-query", "bad-class-response", "bad-type-query", "bad-type-response", "no_answer"], "type": "string", "description": "'all': all; 'total-query': Total number of DNS queries received; 'total-response': Total number of DNS replies sent to clients; 'bad-packet-query': Number of queries with incorrect data length; 'bad-packet-response': Number of replies with incorrect data length; 'bad-header-query': Number of queries with incorrect header; 'bad-header-response': Number of replies with incorrect header; 'bad-format-query': Number of queries with incorrect format; 'bad-format-response': Number of replies with incorrect format; 'bad-service-query': Number of queries with unknown service; 'bad-service-response': Number of replies with unknown service; 'bad-class-query': Number of queries with incorrect class; 'bad-class-response': Number of replies with incorrect class; 'bad-type-query': Number of queries with incorrect type; 'bad-type-response': Number of replies with incorrect type; 'no_answer': Number of replies with unknown server IP; ", "format": "enum"}
:param DeviceProxy: The device proxy for REST operations and session handling. Refer to `common/device_proxy.py`
"""
def __init__(self, **kwargs):
self.ERROR_MSG = ""
self.b_key = "sampling-enable"
self.DeviceProxy = ""
self.counters1 = ""
for keys, value in kwargs.items():
setattr(self,keys, value)
class Dns(A10BaseClass):
""" :param action: {"description": "'none': No action (default); 'drop': Drop query; 'reject': Send refuse response; 'ignore': Send empty response; ", "format": "enum", "default": "none", "type": "string", "enum": ["none", "drop", "reject", "ignore"], "optional": true}
:param sampling_enable: {"minItems": 1, "items": {"type": "object"}, "uniqueItems": true, "type": "array", "array": [{"properties": {"optional": true, "counters1": {"enum": ["all", "total-query", "total-response", "bad-packet-query", "bad-packet-response", "bad-header-query", "bad-header-response", "bad-format-query", "bad-format-response", "bad-service-query", "bad-service-response", "bad-class-query", "bad-class-response", "bad-type-query", "bad-type-response", "no_answer"], "type": "string", "description": "'all': all; 'total-query': Total number of DNS queries received; 'total-response': Total number of DNS replies sent to clients; 'bad-packet-query': Number of queries with incorrect data length; 'bad-packet-response': Number of replies with incorrect data length; 'bad-header-query': Number of queries with incorrect header; 'bad-header-response': Number of replies with incorrect header; 'bad-format-query': Number of queries with incorrect format; 'bad-format-response': Number of replies with incorrect format; 'bad-service-query': Number of queries with unknown service; 'bad-service-response': Number of replies with unknown service; 'bad-class-query': Number of queries with incorrect class; 'bad-class-response': Number of replies with incorrect class; 'bad-type-query': Number of queries with incorrect type; 'bad-type-response': Number of replies with incorrect type; 'no_answer': Number of replies with unknown server IP; ", "format": "enum"}}}]}
:param logging: {"description": "'none': No logging (default); 'query': DNS Query; 'response': DNS Response; 'both': Both DNS Query and Response; ", "format": "enum", "default": "none", "type": "string", "enum": ["none", "query", "response", "both"], "optional": true}
:param uuid: {"description": "uuid of the object", "format": "string", "minLength": 1, "modify-not-allowed": 1, "optional": true, "maxLength": 64, "type": "string"}
:param DeviceProxy: The device proxy for REST operations and session handling. Refer to `common/device_proxy.py`
Class Description::
DNS Global Options.
Class dns supports CRUD Operations and inherits from `common/A10BaseClass`.
This class is the `"PARENT"` class for this module.`
URL for this object::
`https://<Hostname|Ip address>//axapi/v3/gslb/dns`.
"""
def __init__(self, **kwargs):
self.ERROR_MSG = ""
self.required=[]
self.b_key = "dns"
self.a10_url="/axapi/v3/gslb/dns"
self.DeviceProxy = ""
self.action = ""
self.sampling_enable = []
self.logging = ""
self.uuid = ""
for keys, value in kwargs.items():
setattr(self,keys, value)
| 76.453125 | 1,475 | 0.687513 | 638 | 4,893 | 5.239812 | 0.180251 | 0.071792 | 0.062818 | 0.079569 | 0.721807 | 0.721807 | 0.721807 | 0.721807 | 0.702064 | 0.673946 | 0 | 0.005837 | 0.159616 | 4,893 | 63 | 1,476 | 77.666667 | 0.80715 | 0.835479 | 0 | 0.454545 | 0 | 0 | 0.047182 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.045455 | 0 | 0.227273 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
258710973cb7e11e56dfe1eed0b4b01ad79098af | 8,789 | py | Python | src/semantics/SemanticCube.py | jorgegil96/Yargi | b65a85760e3e27487ba6c09f156993b797b8c470 | [
"MIT"
] | 3 | 2019-02-02T03:13:44.000Z | 2021-04-26T09:45:08.000Z | src/semantics/SemanticCube.py | jorgegil96/Yargi | b65a85760e3e27487ba6c09f156993b797b8c470 | [
"MIT"
] | 2 | 2018-05-02T00:36:05.000Z | 2018-05-02T00:44:57.000Z | src/semantics/SemanticCube.py | jorgegil96/Yargi | b65a85760e3e27487ba6c09f156993b797b8c470 | [
"MIT"
] | null | null | null | cube = {
"int": {
"int": {
"+": "int",
"-": "int",
"*": "int",
"/": "int",
">": "bool",
"<": "bool",
">=": "bool",
"<=": "bool",
"==": "bool",
"!=": "bool",
"and": "Error",
"or": "Error",
},
"float": {
"+": "float",
"-": "float",
"*": "float",
"/": "float",
">": "bool",
"<": "bool",
">=": "bool",
"<=": "bool",
"==": "bool",
"!=": "bool",
"and": "Error",
"or": "Error",
},
"string": {
"+": "string",
"-": "Error",
"*": "Error",
"/": "Error",
">": "Error",
"<": "Error",
">=": "Error",
"<=": "Error",
"==": "Error",
"!=": "Error",
"and": "Error",
"or": "Error",
},
"bool": {
"+": "Error",
"-": "Error",
"*": "Error",
"/": "Error",
">": "Error",
"<": "Error",
">=": "Error",
"<=": "Error",
"==": "Error",
"!=": "Error",
"and": "Error",
"or": "Error",
},
"list": {
"+": "Error",
"-": "Error",
"*": "Error",
"/": "Error",
">": "Error",
"<": "Error",
">=": "Error",
"<=": "Error",
"==": "Error",
"!=": "Error",
"and": "Error",
"or": "Error",
},
},
"float": {
"int": {
"+": "float",
"-": "float",
"*": "float",
"/": "float",
">": "bool",
"<": "bool",
">=": "bool",
"<=": "bool",
"==": "bool",
"!=": "bool",
"and": "Error",
"or": "Error",
},
"float": {
"+": "float",
"-": "float",
"*": "float",
"/": "float",
">": "bool",
"<": "bool",
">=": "bool",
"<=": "bool",
"==": "bool",
"!=": "bool",
"and": "Error",
"or": "Error",
},
"string": {
"+": "string",
"-": "Error",
"*": "Error",
"/": "Error",
">": "Error",
"<": "Error",
">=": "Error",
"<=": "Error",
"==": "Error",
"!=": "Error",
"and": "Error",
"or": "Error",
},
"bool": {
"+": "Error",
"-": "Error",
"*": "Error",
"/": "Error",
">": "Error",
"<": "Error",
">=": "Error",
"<=": "Error",
"==": "Error",
"!=": "Error",
"and": "Error",
"or": "Error",
},
"list": {
"+": "Error",
"-": "Error",
"*": "Error",
"/": "Error",
">": "Error",
"<": "Error",
">=": "Error",
"<=": "Error",
"==": "Error",
"!=": "Error",
"and": "Error",
"or": "Error",
},
},
"string": {
"int": {
"+": "string",
"-": "Error",
"*": "Error",
"/": "Error",
">": "Error",
"<": "Error",
">=": "Error",
"<=": "Error",
"==": "Error",
"!=": "Error",
"and": "Error",
"or": "Error",
},
"float": {
"+": "string",
"-": "Error",
"*": "Error",
"/": "Error",
">": "Error",
"<": "Error",
">=": "Error",
"<=": "Error",
"==": "Error",
"!=": "Error",
"and": "Error",
"or": "Error",
},
"string": {
"+": "string",
"-": "Error",
"*": "Error",
"/": "Error",
">": "Error",
"<": "Error",
">=": "Error",
"<=": "Error",
"==": "bool",
"!=": "bool",
"and": "Error",
"or": "Error",
},
"bool": {
"+": "Error",
"-": "Error",
"*": "Error",
"/": "Error",
">": "Error",
"<": "Error",
">=": "Error",
"<=": "Error",
"==": "Error",
"!=": "Error",
"and": "Error",
"or": "Error",
},
"list": {
"+": "Error",
"-": "Error",
"*": "Error",
"/": "Error",
">": "Error",
"<": "Error",
">=": "Error",
"<=": "Error",
"==": "Error",
"!=": "Error",
"and": "Error",
"or": "Error",
},
},
"bool": {
"int": {
"+": "Error",
"-": "Error",
"*": "Error",
"/": "Error",
">": "Error",
"<": "Error",
">=": "Error",
"<=": "Error",
"==": "Error",
"!=": "Error",
"and": "Error",
"or": "Error",
},
"float": {
"+": "Error",
"-": "Error",
"*": "Error",
"/": "Error",
">": "Error",
"<": "Error",
">=": "Error",
"<=": "Error",
"==": "Error",
"!=": "Error",
"and": "Error",
"or": "Error",
},
"string": {
"+": "Error",
"-": "Error",
"*": "Error",
"/": "Error",
">": "Error",
"<": "Error",
">=": "Error",
"<=": "Error",
"==": "Error",
"!=": "Error",
"and": "Error",
"or": "Error",
},
"bool": {
"+": "Error",
"-": "Error",
"*": "Error",
"/": "Error",
">": "Error",
"<": "Error",
">=": "Error",
"<=": "Error",
"==": "bool",
"!=": "bool",
"and": "bool",
"or": "bool",
},
"list": {
"+": "Error",
"-": "Error",
"*": "Error",
"/": "Error",
">": "Error",
"<": "Error",
">=": "Error",
"<=": "Error",
"==": "Error",
"!=": "Error",
"and": "Error",
"or": "Error",
},
},
"list": {
"int": {
"+": "Error",
"-": "Error",
"*": "Error",
"/": "Error",
">": "Error",
"<": "Error",
">=": "Error",
"<=": "Error",
"==": "Error",
"!=": "Error",
"and": "Error",
"or": "Error",
},
"float": {
"+": "Error",
"-": "Error",
"*": "Error",
"/": "Error",
">": "Error",
"<": "Error",
">=": "Error",
"<=": "Error",
"==": "Error",
"!=": "Error",
"and": "Error",
"or": "Error",
},
"string": {
"+": "Error",
"-": "Error",
"*": "Error",
"/": "Error",
">": "Error",
"<": "Error",
">=": "bool",
"<=": "bool",
"==": "Error",
"!=": "Error",
"and": "Error",
"or": "Error",
},
"bool": {
"+": "Error",
"-": "Error",
"*": "Error",
"/": "Error",
">": "Error",
"<": "Error",
">=": "Error",
"<=": "Error",
"==": "Error",
"!=": "Error",
"and": "Error",
"or": "Error",
},
"list": {
"+": "list",
"-": "list",
"*": "Error",
"/": "Error",
">": "Error",
"<": "Error",
">=": "Error",
"<=": "Error",
"==": "bool",
"!=": "bool",
"and": "Error",
"or": "Error",
},
},
}
| 24.212121 | 27 | 0.195927 | 381 | 8,789 | 4.519685 | 0.023622 | 1.004646 | 1.315331 | 1.509872 | 0.986063 | 0.97561 | 0.97561 | 0.973287 | 0.968641 | 0.968641 | 0 | 0 | 0.538628 | 8,789 | 362 | 28 | 24.279006 | 0.424661 | 0 | 0 | 0.889503 | 0 | 0 | 0.235294 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 12 |
25f093d79d9dd8bb5b8b83152a62fb7c4c1b8f89 | 151 | py | Python | navigation/build.py | SquarerFive/bf3-bots | 8a802a8c0eeb055e1edc16e18c9944cfc0126bfd | [
"MIT"
] | 23 | 2021-01-15T10:40:16.000Z | 2021-06-16T12:57:56.000Z | navigation/build.py | SquarerFive/bf3-bots | 8a802a8c0eeb055e1edc16e18c9944cfc0126bfd | [
"MIT"
] | 28 | 2021-02-04T11:23:28.000Z | 2021-03-21T03:13:54.000Z | navigation/build.py | SquarerFive/bf3-bots | 8a802a8c0eeb055e1edc16e18c9944cfc0126bfd | [
"MIT"
] | 4 | 2021-02-10T14:01:38.000Z | 2021-12-17T02:48:54.000Z | import os
os.system('quasar build')
os.system('cd .. && cd bin && vuicc.exe "H:/Repositories/bf3-bots/navigation/dist/spa" "../bf3_bots_mod/ui.vuic"') | 37.75 | 114 | 0.695364 | 25 | 151 | 4.12 | 0.76 | 0.15534 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.014493 | 0.086093 | 151 | 4 | 114 | 37.75 | 0.731884 | 0 | 0 | 0 | 0 | 0.333333 | 0.743421 | 0.467105 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.333333 | 0 | 0.333333 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 7 |
d30205630b446d19bb295989e75b15b465461fc4 | 105 | py | Python | lrcurve/__init__.py | minhlab/python-lrcurve | 8a63ffa27f6d7ab8c0268a487047b2e0c6e806cb | [
"MIT"
] | 175 | 2019-11-28T20:39:42.000Z | 2022-03-10T03:25:22.000Z | lrcurve/__init__.py | minhlab/python-lrcurve | 8a63ffa27f6d7ab8c0268a487047b2e0c6e806cb | [
"MIT"
] | 11 | 2019-12-04T15:56:55.000Z | 2022-02-15T00:18:30.000Z | lrcurve/__init__.py | minhlab/python-lrcurve | 8a63ffa27f6d7ab8c0268a487047b2e0c6e806cb | [
"MIT"
] | 12 | 2019-12-01T08:47:27.000Z | 2021-08-04T13:16:22.000Z |
from .plot_learning_curve import PlotLearningCurve
from .keras_learning_curve import KerasLearningCurve
| 26.25 | 52 | 0.895238 | 12 | 105 | 7.5 | 0.666667 | 0.288889 | 0.422222 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.085714 | 105 | 3 | 53 | 35 | 0.9375 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
d3a201d9021a5f575264be24d462ad22d592fbae | 152 | py | Python | tlingua/__init__.py | LudwigVonChesterfield/TLingua | 00849afa502e9712a32a85e0c72474ad4dd1d69b | [
"MIT"
] | null | null | null | tlingua/__init__.py | LudwigVonChesterfield/TLingua | 00849afa502e9712a32a85e0c72474ad4dd1d69b | [
"MIT"
] | null | null | null | tlingua/__init__.py | LudwigVonChesterfield/TLingua | 00849afa502e9712a32a85e0c72474ad4dd1d69b | [
"MIT"
] | null | null | null | from tlingua.global_vars import *
from tlingua.lingua import Lingua
from tlingua.token_types import *
from tlingua.irregularVerbs import irregularVerb
| 25.333333 | 48 | 0.848684 | 20 | 152 | 6.35 | 0.5 | 0.346457 | 0.267717 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.111842 | 152 | 5 | 49 | 30.4 | 0.940741 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
d3a36caf99c54482e2d1a9f3147e02154cc5afb7 | 187,894 | py | Python | tagupy/design/generator/_pb_ref.py | algebra-club/TaguPy | 1ff5a792f7c78cfb6741cf27659215fef287a1c1 | [
"MIT"
] | 1 | 2021-08-21T07:36:24.000Z | 2021-08-21T07:36:24.000Z | tagupy/design/generator/_pb_ref.py | algebra-club/TaguPy | 1ff5a792f7c78cfb6741cf27659215fef287a1c1 | [
"MIT"
] | 29 | 2021-08-15T18:12:58.000Z | 2021-09-12T14:48:17.000Z | tagupy/design/generator/_pb_ref.py | algebra-club/TaguPy | 1ff5a792f7c78cfb6741cf27659215fef287a1c1 | [
"MIT"
] | null | null | null | import numpy as np
"""
Reference for PB design
- utelizing circulant matrix, generate PB exmatrix from generating vector
- for pb40, 52, 56, 64, 76, 88, 96, and 100, it was impossible to generate exmatrix in the same way,
so we decided to call exmatrix itself.
"""
def pb_gen_fn(vec: np.ndarray) -> np.ndarray:
length = len(vec)
ex = [*(np.roll(vec, i) for i in range(length)), np.full(length, -1)]
return np.vstack(ex).astype(int)
def _pb28():
matrix = np.array([
[ 1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, 1, -1, 1],
[ 1, 1, -1, 1, 1, 1, -1, -1, -1, -1, -1, 1, 1, -1, -1, 1, -1, -1, -1, 1, 1, 1, 1, -1, 1, 1, -1],
[-1, 1, 1, 1, 1, 1, -1, -1, -1, 1, -1, -1, -1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, 1, 1],
[-1, -1, -1, 1, -1, 1, 1, 1, 1, -1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1],
[-1, -1, -1, 1, 1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, -1],
[-1, -1, -1, -1, 1, 1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, 1],
[ 1, 1, 1, -1, -1, -1, 1, -1, 1, -1, -1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, 1, 1, 1, -1],
[ 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, -1, -1, 1, -1, -1, -1, -1, 1, 1, 1, -1, 1, 1, -1, -1, 1, 1],
[ 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1],
[ 1, 1, -1, 1, -1, 1, 1, -1, 1, 1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, 1, -1, -1, 1],
[-1, 1, 1, 1, 1, -1, 1, 1, -1, 1, 1, -1, 1, 1, 1, -1, -1, -1, -1, -1, 1, 1, -1, -1, 1, -1, -1],
[ 1, -1, 1, -1, 1, 1, -1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, -1, -1, -1, 1, -1, -1, 1, -1],
[ 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, -1, 1, 1, 1, 1, -1, -1, 1, -1, 1, -1, -1, -1, 1],
[ 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, -1],
[-1, 1, 1, 1, -1, 1, -1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, -1],
[ 1, -1, 1, 1, -1, 1, 1, 1, -1, 1, 1, 1, -1, -1, -1, 1, -1, 1, -1, -1, 1, -1, -1, 1, -1, 1, -1],
[ 1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, -1, -1, 1, -1, -1, -1, -1, 1],
[-1, 1, 1, -1, 1, 1, 1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, -1, -1],
[-1, 1, -1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, 1, -1, 1, 1, -1, 1, 1, 1, 1, -1, -1, -1],
[-1, -1, 1, 1, -1, -1, 1, -1, -1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, 1, -1, 1, 1, 1, -1, -1, -1],
[ 1, -1, -1, -1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1],
[-1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, -1, 1, 1, 1, 1],
[ 1, -1, -1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, 1, 1, 1],
[-1, 1, -1, 1, -1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, 1],
[-1, -1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, 1, 1, 1, -1, 1, 1, 1, -1, -1, -1, 1, -1, 1],
[ 1, -1, -1, 1, -1, -1, -1, -1, 1, 1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1],
[-1, 1, -1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1],
[-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1],
])
return matrix
def _pb40():
matrix = np.array([
[ 1, -1, 1, 1, -1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, -1, 1, 1, 1, -1, 1, 1, -1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, -1, 1],
[ 1, 1, -1, 1, 1, -1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, -1, 1, 1, 1, -1, 1, 1, -1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, -1],
[-1, 1, 1, -1, 1, 1, -1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, -1, 1, 1, -1, 1, 1, -1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1],
[-1, -1, 1, 1, -1, 1, 1, -1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, 1, -1, -1, 1, 1, -1, 1, 1, -1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1],
[ 1, -1, -1, 1, 1, -1, 1, 1, -1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, 1, -1, -1, 1, 1, -1, 1, 1, -1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1],
[ 1, 1, -1, -1, 1, 1, -1, 1, 1, -1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, 1, -1, -1, 1, 1, -1, 1, 1, -1, -1, -1, -1, 1, -1, 1, -1, 1, 1],
[ 1, 1, 1, -1, -1, 1, 1, -1, 1, 1, -1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, 1, -1, -1, 1, 1, -1, 1, 1, -1, -1, -1, -1, 1, -1, 1, -1, 1],
[ 1, 1, 1, 1, -1, -1, 1, 1, -1, 1, 1, -1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, 1, -1, -1, 1, 1, -1, 1, 1, -1, -1, -1, -1, 1, -1, 1, -1],
[-1, 1, 1, 1, 1, -1, -1, 1, 1, -1, 1, 1, -1, -1, -1, -1, 1, -1, 1, 1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, 1, 1, -1, -1, -1, -1, 1, -1, 1],
[ 1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, 1, 1, -1, -1, -1, -1, 1, -1, 1, 1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, 1, 1, -1, -1, -1, -1, 1, -1],
[-1, 1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, 1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, 1, 1, -1, -1, -1, -1, 1],
[ 1, -1, 1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, 1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, 1, 1, -1, -1, -1, -1],
[-1, 1, -1, 1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, 1, 1, -1, -1, -1, 1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, 1, 1, -1, -1, -1],
[-1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, 1, 1, -1, -1, 1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, 1, 1, -1, -1],
[-1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, 1, 1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, 1, 1, -1],
[-1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, 1, 1, 1, -1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, 1, 1],
[ 1, -1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, 1, 1, 1, -1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, 1],
[ 1, 1, -1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, 1, 1, 1, -1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1],
[-1, 1, 1, -1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, -1, 1, 1, 1, -1, 1, 1, -1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, -1, 1, 1],
[-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1],
[ 1, -1, 1, 1, -1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, -1, 1, -1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, 1, -1],
[ 1, 1, -1, 1, 1, -1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, -1, -1, -1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, 1],
[-1, 1, 1, -1, 1, 1, -1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, -1, 1, -1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1],
[-1, -1, 1, 1, -1, 1, 1, -1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1],
[ 1, -1, -1, 1, 1, -1, 1, 1, -1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, -1, -1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1],
[ 1, 1, -1, -1, 1, 1, -1, 1, 1, -1, -1, -1, -1, 1, -1, 1, -1, 1, 1, -1, -1, -1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, -1, 1, -1, -1],
[ 1, 1, 1, -1, -1, 1, 1, -1, 1, 1, -1, -1, -1, -1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, -1, 1, -1],
[ 1, 1, 1, 1, -1, -1, 1, 1, -1, 1, 1, -1, -1, -1, -1, 1, -1, 1, -1, -1, -1, -1, -1, -1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, -1, 1],
[-1, 1, 1, 1, 1, -1, -1, 1, 1, -1, 1, 1, -1, -1, -1, -1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, -1],
[ 1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1],
[-1, 1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, 1, 1, -1, -1, -1, -1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, 1, -1],
[ 1, -1, 1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, 1, 1, -1, -1, -1, -1, -1, -1, 1, -1, 1, -1, -1, -1, -1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, 1],
[-1, 1, -1, 1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, 1, 1, -1, -1, -1, -1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1],
[-1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, 1, 1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, 1, -1, -1, 1, -1, -1, 1, 1],
[-1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, 1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, 1, -1, -1, 1, -1, -1, 1],
[-1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, 1, 1, -1, 1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, 1, -1, -1, 1, -1, -1],
[ 1, -1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, 1, -1, -1, 1, -1],
[ 1, 1, -1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, 1, -1, -1, 1],
[-1, 1, 1, -1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, 1, -1, -1],
[-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
])
return matrix
def _pb52():
matrix = np.array([
[ 1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1],
[ 1, -1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1],
[-1, 1, 1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1],
[ 1, -1, -1, -1, 1, -1, -1, -1, -1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1],
[-1, -1, 1, 1, 1, -1, 1, -1, 1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1],
[ 1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1],
[-1, -1, 1, -1, 1, 1, 1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1],
[ 1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1],
[-1, -1, 1, -1, 1, -1, 1, 1, 1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1],
[ 1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1],
[-1, -1, 1, -1, 1, -1, 1, -1, 1, 1, 1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1],
[ 1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1],
[-1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1],
[ 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1],
[-1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, -1, 1],
[ 1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1],
[-1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, 1, 1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1],
[ 1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1],
[-1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, -1, 1, 1, 1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1],
[ 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1],
[-1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, 1, 1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1],
[ 1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1],
[-1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, -1, 1],
[ 1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1],
[-1, 1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1],
[ 1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1],
[-1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, 1, 1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1],
[ 1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1],
[-1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, -1, 1, 1, 1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1],
[ 1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1],
[-1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, 1, 1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1],
[ 1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1],
[-1, 1, -1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1],
[ 1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1],
[-1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1],
[ 1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1],
[-1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, 1, 1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1],
[ 1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1],
[-1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, -1, 1, 1, 1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1],
[ 1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1],
[-1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, 1, 1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1],
[ 1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1, -1, -1, -1],
[-1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, 1, -1, 1],
[ 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1, -1],
[-1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, 1],
[ 1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1],
[-1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, 1, 1, -1, 1, -1, 1],
[ 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1],
[-1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, -1, 1, 1, 1, -1, 1],
[ 1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 1],
[-1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, 1, 1],
[-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1],
])
return matrix
def _pb56():
matrix = np.array([
[ 1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, 1, -1, 1, 1, 1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, 1, -1, 1],
[ 1, 1, -1, 1, 1, 1, -1, -1, -1, -1, -1, 1, 1, -1, -1, 1, -1, -1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, 1, 1, -1, 1, 1, 1, -1, -1, -1, -1, -1, 1, 1, -1, -1, 1, -1, -1, -1, 1, 1, 1, 1, -1, 1, 1, -1],
[-1, 1, 1, 1, 1, 1, -1, -1, -1, 1, -1, -1, -1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, -1, -1, -1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, 1, 1],
[-1, -1, -1, 1, -1, 1, 1, 1, 1, -1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, 1, -1, -1, -1, 1, -1, 1, 1, 1, 1, -1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1],
[-1, -1, -1, 1, 1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, -1],
[-1, -1, -1, -1, 1, 1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, 1],
[ 1, 1, 1, -1, -1, -1, 1, -1, 1, -1, -1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, 1, 1, 1, -1, 1, 1, 1, 1, -1, -1, -1, 1, -1, 1, -1, -1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, 1, 1, 1, -1],
[ 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, -1, -1, 1, -1, -1, -1, -1, 1, 1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, -1, -1, 1, -1, -1, -1, -1, 1, 1, 1, -1, 1, 1, -1, -1, 1, 1],
[ 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1],
[ 1, 1, -1, 1, -1, 1, 1, -1, 1, 1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, -1, 1, 1, -1, 1, 1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, 1, -1, -1, 1],
[-1, 1, 1, 1, 1, -1, 1, 1, -1, 1, 1, -1, 1, 1, 1, -1, -1, -1, -1, -1, 1, 1, -1, -1, 1, -1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, 1, -1, 1, 1, 1, -1, -1, -1, -1, -1, 1, 1, -1, -1, 1, -1, -1],
[ 1, -1, 1, -1, 1, 1, -1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, 1, 1, -1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, -1, -1, -1, 1, -1, -1, 1, -1],
[ 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, -1, 1, 1, 1, 1, -1, -1, 1, -1, 1, -1, -1, -1, 1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, -1, 1, 1, 1, 1, -1, -1, 1, -1, 1, -1, -1, -1, 1],
[ 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, -1, 1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, -1],
[-1, 1, 1, 1, -1, 1, -1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, -1, 1, -1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, -1],
[ 1, -1, 1, 1, -1, 1, 1, 1, -1, 1, 1, 1, -1, -1, -1, 1, -1, 1, -1, -1, 1, -1, -1, 1, -1, 1, -1, 1, 1, -1, 1, 1, -1, 1, 1, 1, -1, 1, 1, 1, -1, -1, -1, 1, -1, 1, -1, -1, 1, -1, -1, 1, -1, 1, -1],
[ 1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, -1, -1, 1, -1, -1, -1, -1, 1, 1, 1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, -1, -1, 1, -1, -1, -1, -1, 1],
[-1, 1, 1, -1, 1, 1, 1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, 1, 1, 1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, -1, -1],
[-1, 1, -1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, 1, -1, 1, 1, -1, 1, 1, 1, 1, -1, -1, -1, 1, -1, 1, -1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, 1, -1, 1, 1, -1, 1, 1, 1, 1, -1, -1, -1],
[-1, -1, 1, 1, -1, -1, 1, -1, -1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, 1, -1, 1, 1, 1, -1, -1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, -1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, 1, -1, 1, 1, 1, -1, -1, -1],
[ 1, -1, -1, -1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, -1, -1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1],
[-1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, -1, 1, 1, 1, 1, 1, -1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, -1, 1, 1, 1, 1],
[ 1, -1, -1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, 1, 1, 1],
[-1, 1, -1, 1, -1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, 1],
[-1, -1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, 1, 1, 1, -1, 1, 1, 1, -1, -1, -1, 1, -1, 1, 1, -1, -1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, 1, 1, 1, -1, 1, 1, 1, -1, -1, -1, 1, -1, 1],
[ 1, -1, -1, 1, -1, -1, -1, -1, 1, 1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1, -1, 1, -1, -1, -1, -1, 1, 1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1],
[-1, 1, -1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, 1, -1, 1, -1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1],
[-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1],
[ 1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, 1, -1, 1, -1, -1, 1, -1, -1, -1, -1, 1, 1, 1, 1, -1, 1, 1, 1, -1, 1, 1, -1, -1, -1, 1, -1, 1, -1, -1, 1, -1],
[ 1, 1, -1, 1, 1, 1, -1, -1, -1, -1, -1, 1, 1, -1, -1, 1, -1, -1, -1, 1, 1, 1, 1, -1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, 1, 1, 1, 1, 1, -1, -1, 1, 1, -1, 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, 1],
[-1, 1, 1, 1, 1, 1, -1, -1, -1, 1, -1, -1, -1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, 1, 1, -1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, 1, 1, 1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, -1, -1],
[-1, -1, -1, 1, -1, 1, 1, 1, 1, -1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, 1, 1, 1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1],
[-1, -1, -1, 1, 1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, -1, -1, 1],
[-1, -1, -1, -1, 1, 1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, 1, -1, 1, 1, 1, 1, -1, -1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, -1, 1, 1, -1, -1, -1, 1, -1, 1, -1, -1],
[ 1, 1, 1, -1, -1, -1, 1, -1, 1, -1, -1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, 1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, 1, -1, 1, 1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, -1, -1, -1, 1],
[ 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, -1, -1, 1, -1, -1, -1, -1, 1, 1, 1, -1, 1, 1, -1, -1, 1, 1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, 1, 1, -1, 1, 1, 1, 1, -1, -1, -1, 1, -1, -1, 1, 1, -1, -1],
[ 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, -1, -1, -1, 1, 1, 1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1],
[ 1, 1, -1, 1, -1, 1, 1, -1, 1, 1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, -1, 1, -1, -1, 1, -1, -1, -1, -1, 1, 1, 1, 1, -1, 1, 1, 1, -1, 1, 1, -1],
[-1, 1, 1, 1, 1, -1, 1, 1, -1, 1, 1, -1, 1, 1, 1, -1, -1, -1, -1, -1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, -1, 1, -1, -1, -1, 1, 1, 1, 1, 1, -1, -1, 1, 1, -1, 1, 1],
[ 1, -1, 1, -1, 1, 1, -1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, -1, -1, -1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, -1, 1, -1, -1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, 1, 1, 1, -1, 1, 1, -1, 1],
[ 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, -1, 1, 1, 1, 1, -1, -1, 1, -1, 1, -1, -1, -1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, 1, 1, -1],
[ 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, -1, -1, 1, -1, -1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1],
[-1, 1, 1, 1, -1, 1, -1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, -1, 1],
[ 1, -1, 1, 1, -1, 1, 1, 1, -1, 1, 1, 1, -1, -1, -1, 1, -1, 1, -1, -1, 1, -1, -1, 1, -1, 1, -1, -1, -1, 1, -1, -1, 1, -1, -1, -1, 1, -1, -1, -1, 1, 1, 1, -1, 1, -1, 1, 1, -1, 1, 1, -1, 1, -1, 1],
[ 1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, -1, -1, 1, -1, -1, -1, -1, 1, -1, -1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, 1, 1, -1, 1, 1, 1, 1, -1],
[-1, 1, 1, -1, 1, 1, 1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, -1, -1, -1, 1, -1, -1, 1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, 1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, 1, 1],
[-1, 1, -1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, 1, -1, 1, 1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, 1, 1, 1, -1, 1, 1, -1, -1, -1, 1, -1, 1, -1, -1, 1, -1, -1, 1, -1, -1, -1, -1, 1, 1, 1],
[-1, -1, 1, 1, -1, -1, 1, -1, -1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, 1, -1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, -1, 1, 1, -1, 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, -1, 1, -1, -1, -1, 1, 1, 1],
[ 1, -1, -1, -1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, -1, -1, 1, -1, -1, -1, -1, -1, 1, 1, 1],
[-1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, -1, 1, -1, -1, -1, -1],
[ 1, -1, -1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, -1, -1, 1, -1, -1, -1],
[-1, 1, -1, 1, -1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, 1, -1, 1, -1, 1, -1, 1, 1, 1, -1, 1, 1, -1, -1, -1, 1, -1, 1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, -1],
[-1, -1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, 1, 1, 1, -1, 1, 1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, -1, -1, -1, 1, -1, -1, -1, 1, 1, 1, -1, 1, -1],
[ 1, -1, -1, 1, -1, -1, -1, -1, 1, 1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, 1, -1, -1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1],
[-1, 1, -1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, 1, -1, 1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, 1, 1, -1, -1],
[-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
])
return matrix
def _pb64():
matrix = np.array([
[-1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1],
[-1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, 1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1],
[-1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1],
[-1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1],
[ 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1],
[-1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1],
[ 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1],
[-1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1],
[ 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1],
[ 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1],
[ 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1],
[-1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1],
[ 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1],
[ 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1],
[-1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, 1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1],
[-1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, 1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1],
[-1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1],
[ 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1],
[ 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1],
[ 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1],
[ 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1],
[ 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1],
[-1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1],
[-1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1],
[ 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1],
[ 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1],
[-1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1],
[ 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1],
[-1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1],
[-1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1],
[ 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1],
[-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1],
[-1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1],
[-1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1],
[-1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1],
[-1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1],
[ 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, -1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1],
[-1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1],
[ 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, -1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1],
[-1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1],
[ 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1],
[ 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1],
[ 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1],
[-1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1],
[ 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1],
[ 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1],
[-1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1],
[-1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1],
[-1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1],
[ 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1],
[ 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1],
[ 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1],
[ 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1],
[ 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1],
[-1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1],
[-1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1],
[ 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1],
[ 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, -1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1],
[-1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1],
[ 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1],
[-1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1],
[-1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1],
[ 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, -1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1],
[-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
])
return matrix
def _pb76():
matrix = np.array([
[ 1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1],
[ 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, -1],
[-1, 1, 1, -1, 1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1],
[ 1, -1, -1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1],
[-1, -1, 1, 1, 1, -1, 1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1],
[ 1, 1, 1, -1, -1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1],
[-1, 1, -1, -1, 1, 1, 1, -1, 1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1],
[ 1, -1, -1, 1, 1, -1, -1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1],
[-1, -1, 1, 1, -1, -1, 1, 1, 1, -1, 1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1],
[ 1, -1, -1, -1, -1, 1, 1, -1, -1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1],
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[ 1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, -1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, -1, -1, -1],
[-1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, -1, 1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1],
[ 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, -1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, -1],
[-1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, -1, 1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, -1, 1],
[ 1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, -1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1, -1, -1],
[-1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, -1, 1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1],
[ 1, -1, -1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, -1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1],
[-1, -1, 1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, -1, 1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, 1],
[ 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, -1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1],
[-1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, -1, 1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1],
[ 1, 1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, -1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, -1, -1],
[-1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, -1, 1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, -1, 1],
[ 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, -1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1],
[-1, -1, 1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, -1, 1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1],
[ 1, 1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, -1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, 1, 1],
[-1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, -1, 1, 1, -1, -1, 1, -1, 1, 1, -1],
[ 1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, -1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1],
[-1, 1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, -1, 1, 1, -1, -1, 1, -1, 1],
[ 1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, -1, -1, 1, -1, -1, 1, 1, -1, -1],
[-1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, -1, 1, 1, -1, -1, 1],
[ 1, -1, -1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, -1, -1, 1, -1, -1, 1, 1],
[-1, -1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, -1, 1, 1, -1],
[ 1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, -1, -1, 1, -1, -1],
[-1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, -1, 1],
[ 1, -1, -1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, -1, -1, 1],
[-1, -1, 1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1],
[-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1],
])
return matrix
def _pb88():
matrix = np.array([
[ 1, -1, 1, 1, -1, 1, -1, 1, 1, -1, -1, -1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, 1, -1, -1, -1, 1, 1, 1, 1, 1, -1, 1, 1, 1, -1, -1, 1, -1, 1, -1, -1, 1, 1, 1, -1, 1, 1, -1, 1, -1, 1, 1, -1, -1, -1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, 1, -1, -1, -1, 1, 1, 1, 1, 1, -1, 1, 1, 1, -1, -1, 1, -1, 1, -1, -1, 1],
[ 1, 1, -1, 1, 1, -1, 1, -1, 1, 1, -1, -1, -1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, 1, -1, -1, -1, 1, 1, 1, 1, 1, -1, 1, 1, 1, -1, -1, 1, -1, 1, -1, -1, 1, 1, 1, -1, 1, 1, -1, 1, -1, 1, 1, -1, -1, -1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, 1, -1, -1, -1, 1, 1, 1, 1, 1, -1, 1, 1, 1, -1, -1, 1, -1, 1, -1, -1],
[-1, 1, 1, -1, 1, 1, -1, 1, -1, 1, 1, -1, -1, -1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, 1, -1, -1, -1, 1, 1, 1, 1, 1, -1, 1, 1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, 1, 1, -1, 1, -1, 1, 1, -1, -1, -1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, 1, -1, -1, -1, 1, 1, 1, 1, 1, -1, 1, 1, 1, -1, -1, 1, -1, 1, -1],
[-1, -1, 1, 1, -1, 1, 1, -1, 1, -1, 1, 1, -1, -1, -1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, 1, -1, -1, -1, 1, 1, 1, 1, 1, -1, 1, 1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, 1, -1, 1, -1, 1, 1, -1, -1, -1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, 1, -1, -1, -1, 1, 1, 1, 1, 1, -1, 1, 1, 1, -1, -1, 1, -1, 1],
[ 1, -1, -1, 1, 1, -1, 1, 1, -1, 1, -1, 1, 1, -1, -1, -1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, 1, -1, -1, -1, 1, 1, 1, 1, 1, -1, 1, 1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, 1, -1, 1, -1, 1, 1, -1, -1, -1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, 1, -1, -1, -1, 1, 1, 1, 1, 1, -1, 1, 1, 1, -1, -1, 1, -1],
[-1, 1, -1, -1, 1, 1, -1, 1, 1, -1, 1, -1, 1, 1, -1, -1, -1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, 1, -1, -1, -1, 1, 1, 1, 1, 1, -1, 1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, 1, 1, -1, 1, -1, 1, 1, -1, -1, -1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, 1, -1, -1, -1, 1, 1, 1, 1, 1, -1, 1, 1, 1, -1, -1, 1],
[ 1, -1, 1, -1, -1, 1, 1, -1, 1, 1, -1, 1, -1, 1, 1, -1, -1, -1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, 1, -1, -1, -1, 1, 1, 1, 1, 1, -1, 1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, 1, 1, -1, 1, -1, 1, 1, -1, -1, -1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, 1, -1, -1, -1, 1, 1, 1, 1, 1, -1, 1, 1, 1, -1, -1],
[-1, 1, -1, 1, -1, -1, 1, 1, -1, 1, 1, -1, 1, -1, 1, 1, -1, -1, -1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, 1, -1, -1, -1, 1, 1, 1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, 1, -1, 1, -1, 1, 1, -1, -1, -1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, 1, -1, -1, -1, 1, 1, 1, 1, 1, -1, 1, 1, 1, -1],
[-1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, 1, -1, 1, -1, 1, 1, -1, -1, -1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, 1, -1, -1, -1, 1, 1, 1, 1, 1, -1, 1, 1, 1, 1, -1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, 1, -1, 1, -1, 1, 1, -1, -1, -1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, 1, -1, -1, -1, 1, 1, 1, 1, 1, -1, 1, 1, 1],
[ 1, -1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, 1, -1, 1, -1, 1, 1, -1, -1, -1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, 1, -1, -1, -1, 1, 1, 1, 1, 1, -1, 1, 1, 1, 1, -1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, 1, -1, 1, -1, 1, 1, -1, -1, -1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, 1, -1, -1, -1, 1, 1, 1, 1, 1, -1, 1, 1],
[ 1, 1, -1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, 1, -1, 1, -1, 1, 1, -1, -1, -1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, 1, -1, -1, -1, 1, 1, 1, 1, 1, -1, 1, 1, 1, 1, -1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, 1, -1, 1, -1, 1, 1, -1, -1, -1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, 1, -1, -1, -1, 1, 1, 1, 1, 1, -1, 1],
[ 1, 1, 1, -1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, 1, -1, 1, -1, 1, 1, -1, -1, -1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, 1, -1, -1, -1, 1, 1, 1, 1, 1, -1, 1, 1, 1, 1, -1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, 1, -1, 1, -1, 1, 1, -1, -1, -1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, 1, -1, -1, -1, 1, 1, 1, 1, 1, -1],
[-1, 1, 1, 1, -1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, 1, -1, 1, -1, 1, 1, -1, -1, -1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, 1, -1, -1, -1, 1, 1, 1, 1, 1, 1, -1, 1, 1, 1, -1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, 1, -1, 1, -1, 1, 1, -1, -1, -1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, 1, -1, -1, -1, 1, 1, 1, 1, 1],
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[-1, 1, 1, -1, -1, -1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, 1, -1, -1, -1, 1, 1, 1, 1, 1, -1, 1, 1, 1, -1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, -1, 1, 1, 1, -1, -1, -1, -1, -1, 1, -1, -1, -1, 1, 1, -1, 1, -1, 1, 1, -1, -1, 1, -1, -1, 1, -1],
[ 1, -1, 1, 1, -1, -1, -1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, 1, -1, -1, -1, 1, 1, 1, 1, 1, -1, 1, 1, 1, -1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, 1, -1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, -1, 1, 1, 1, -1, -1, -1, -1, -1, 1, -1, -1, -1, 1, 1, -1, 1, -1, 1, 1, -1, -1, 1, -1, -1, 1],
[-1, 1, -1, 1, 1, -1, -1, -1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, 1, -1, -1, -1, 1, 1, 1, 1, 1, -1, 1, 1, 1, -1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, -1, 1, 1, 1, -1, -1, -1, -1, -1, 1, -1, -1, -1, 1, 1, -1, 1, -1, 1, 1, -1, -1, 1, -1, -1],
[ 1, -1, 1, -1, 1, 1, -1, -1, -1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, 1, -1, -1, -1, 1, 1, 1, 1, 1, -1, 1, 1, 1, -1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, -1, -1, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, -1, 1, 1, 1, -1, -1, -1, -1, -1, 1, -1, -1, -1, 1, 1, -1, 1, -1, 1, 1, -1, -1, 1, -1],
[ 1, 1, -1, 1, -1, 1, 1, -1, -1, -1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, 1, -1, -1, -1, 1, 1, 1, 1, 1, -1, 1, 1, 1, -1, -1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, 1, -1, 1, -1, -1, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, -1, 1, 1, 1, -1, -1, -1, -1, -1, 1, -1, -1, -1, 1, 1, -1, 1, -1, 1, 1, -1, -1, 1],
[-1, 1, 1, -1, 1, -1, 1, 1, -1, -1, -1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, 1, -1, -1, -1, 1, 1, 1, 1, 1, -1, 1, 1, 1, -1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, -1, -1, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, -1, 1, 1, 1, -1, -1, -1, -1, -1, 1, -1, -1, -1, 1, 1, -1, 1, -1, 1, 1, -1, -1],
[-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
])
return matrix
def _pb92():
raise ValueError("integers from 88 to 91 are not supported for n_factor")
def _pb96():
matrix = np.array([
[ 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, 1, 1, 1],
[ 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, 1, 1],
[ 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, 1],
[ 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1],
[ 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, 1, 1, -1],
[-1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, 1, 1],
[ 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, 1],
[ 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1],
[ 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, 1],
[ 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1],
[-1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, -1],
[-1, -1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1],
[ 1, -1, -1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1],
[-1, 1, -1, -1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1],
[ 1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, -1],
[-1, 1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1],
[ 1, -1, 1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1, -1, 1, -1, -1, 1, 1],
[ 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1, -1, 1, -1, -1, 1],
[ 1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1, -1, 1, -1, -1],
[-1, 1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1, -1, 1, -1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1, -1, 1, -1],
[-1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1, -1, 1],
[ 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1, -1],
[-1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1],
[-1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1],
[ 1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1],
[ 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1],
[-1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, 1, -1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1],
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[-1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, 1, 1, 1, 1, -1, -1, 1, -1, 1, -1, 1, 1, 1, -1, -1, 1, -1, -1, 1, 1, -1, 1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1, 1, 1, 1, 1, -1],
[ 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, -1, -1, -1, 1, 1, 1, 1, -1, -1, 1, -1, 1, -1, 1, 1, 1, -1, -1, 1, -1, -1, 1, 1, -1, 1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1, 1, 1, 1, 1],
[-1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, 1, 1, 1, 1, -1, -1, 1, -1, 1, -1, 1, 1, 1, -1, -1, 1, -1, -1, 1, 1, -1, 1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1, 1, 1, 1],
[-1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, 1, -1, -1, 1, -1, 1, -1, 1, 1, 1, -1, -1, 1, -1, -1, 1, 1, -1, 1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1, 1, 1],
[-1, -1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, -1, 1, 1, 1, 1, -1, -1, 1, -1, 1, -1, 1, 1, 1, -1, -1, 1, -1, -1, 1, 1, -1, 1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1, 1],
[-1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, 1, 1, 1, 1, -1, 1, 1, 1, 1, -1, -1, 1, -1, 1, -1, 1, 1, 1, -1, -1, 1, -1, -1, 1, 1, -1, 1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1],
[-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
])
return matrix
def _pb100():
matrix = np.array([
[ 1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1],
[ 1, -1, 1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1],
[-1, 1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1],
[ 1, -1, -1, -1, 1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1],
[-1, -1, 1, 1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1],
[ 1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1],
[-1, -1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1],
[ 1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1],
[-1, -1, 1, -1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1],
[ 1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1],
[-1, -1, 1, -1, 1, -1, 1, -1, 1, 1, 1, -1, 1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1],
[ 1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1],
[-1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, 1],
[ 1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1],
[-1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1],
[ 1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, -1, 1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1],
[-1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1],
[ 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, -1, 1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1],
[-1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1],
[ 1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1],
[-1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1],
[ 1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1],
[-1, 1, -1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1],
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[ 1, -1, -1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1],
[-1, -1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1],
[ 1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, -1, 1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1],
[-1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1],
[ 1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, -1, 1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1],
[-1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1],
[ 1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1, -1, -1, -1],
[-1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, 1, -1, 1],
[ 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1, -1],
[-1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, 1],
[ 1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1],
[-1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, 1, 1, -1, 1, -1, 1],
[ 1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1],
[-1, 1, -1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, 1, 1, -1, 1],
[ 1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 1],
[-1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, 1, 1],
[-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1],
])
return matrix
vec_dict = {
4: np.array([ 1, 1, -1]),
8: np.array([ 1, -1, -1, 1, -1, 1, 1]),
12: np.array([ 1, -1, 1, -1, -1, -1, 1, 1, 1, -1, 1]),
16: np.array([ 1, -1, -1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, 1, 1]),
20: np.array([ 1, -1, 1, 1, -1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, -1, 1]),
24: np.array([ 1, -1, -1, -1, -1, 1, -1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, 1, 1, 1, 1]),
32: np.array([-1, 1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1]),
36: np.array([-1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, 1, -1, 1]),
44: np.array([ 1, -1, 1, 1, -1, 1, -1, 1, 1, -1, -1, -1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, 1, -1, -1, -1, 1, 1, 1, 1, 1, -1, 1, 1, 1, -1, -1, 1, -1, 1, -1, -1, 1]),
48: np.array([ 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, 1, 1, 1]),
60: np.array([ 1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, -1, 1, 1, -1, -1, -1, 1, -1, -1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, -1, 1, 1, 1, -1, -1, 1, -1, -1, 1, -1, 1, -1, 1, 1, 1, -1, 1]),
68: np.array([ 1, -1, 1, 1, -1, 1, -1, 1, 1, -1, -1, 1, 1, 1, -1, -1, -1, -1, 1, -1, 1, -1, -1, -1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, -1, -1, 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, 1, -1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, -1, 1, -1, 1, -1, -1, 1]),
72: np.array([ 1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1, 1, -1, 1, 1, -1, -1, 1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, 1, -1, -1, 1, -1, 1, 1, 1, -1, -1, -1, 1, -1, 1, 1, -1, 1, -1, 1, 1, -1, -1, -1, 1, 1, 1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1, -1, 1, 1, 1, 1, 1, 1]),
80: np.array([ 1, -1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, 1, -1, 1, 1, -1, 1, -1, -1, -1, -1, -1, -1, 1, -1, -1, 1, 1, 1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, -1, -1, -1, 1, 1, -1, 1, 1, 1, 1, 1, 1, -1, 1, -1, -1, 1, -1, 1, 1, 1, 1, -1, -1, 1, 1, -1, 1, 1]),
84: np.array([ 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, -1, -1, -1, 1, -1, 1, 1, -1, -1, -1, 1, -1, -1, 1, 1, -1, 1, 1, 1, -1, -1, 1, -1, 1, 1, 1, 1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, 1, 1, -1, -1, -1, 1, 1, 1, 1, -1, 1, -1, -1, 1, 1, -1, 1])
}
func_dict = {
28: _pb28, 40: _pb40, 52: _pb52, 56: _pb56, 64: _pb64,
76: _pb76, 88: _pb88, 92: _pb92, 96: _pb96, 100: _pb100
}
def _pb(n_run: int) -> np.ndarray:
irreg = [28, 40, 52, 56, 64, 76, 88, 92, 96, 100]
ret = func_dict[n_run]() if n_run in irreg else pb_gen_fn(vec_dict[n_run])
return ret
| 267.274538 | 405 | 0.245144 | 45,310 | 187,894 | 1.015824 | 0.002185 | 1.95646 | 2.933126 | 3.908749 | 0.986877 | 0.986225 | 0.986225 | 0.986225 | 0.986225 | 0.985921 | 0 | 0.392517 | 0.387362 | 187,894 | 702 | 406 | 267.655271 | 0.007332 | 0 | 0 | 0.040419 | 1 | 0 | 0.000282 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.017964 | false | 0 | 0.001497 | 0 | 0.035928 | 0 | 0 | 0 | 1 | null | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 14 |
9f1b89b9d05fd803a88ee5a1a2d33dfe974026d1 | 94 | py | Python | menpo/rasterize/__init__.py | ikassi/menpo | ca702fc814a1ad50b27c44c6544ba364d3aa7e31 | [
"BSD-3-Clause"
] | null | null | null | menpo/rasterize/__init__.py | ikassi/menpo | ca702fc814a1ad50b27c44c6544ba364d3aa7e31 | [
"BSD-3-Clause"
] | null | null | null | menpo/rasterize/__init__.py | ikassi/menpo | ca702fc814a1ad50b27c44c6544ba364d3aa7e31 | [
"BSD-3-Clause"
] | 1 | 2021-04-14T12:09:00.000Z | 2021-04-14T12:09:00.000Z | from menpo.rasterize.base import Rasterizable
from menpo.rasterize.opengl import GLRasterizer
| 31.333333 | 47 | 0.87234 | 12 | 94 | 6.833333 | 0.666667 | 0.219512 | 0.439024 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.085106 | 94 | 2 | 48 | 47 | 0.953488 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
9f2726f7d222684bc1c721a5767b943149638d8b | 19,845 | py | Python | gae/tests/api_test.py | benletchford/stratego.io | 040d8d0775594f531d588700128e86f744be2dff | [
"MIT"
] | 29 | 2015-12-03T04:11:05.000Z | 2022-01-21T15:34:37.000Z | gae/tests/api_test.py | benletchford/stratego.io | 040d8d0775594f531d588700128e86f744be2dff | [
"MIT"
] | 10 | 2020-04-12T16:01:40.000Z | 2022-02-26T07:56:55.000Z | gae/tests/api_test.py | benletchford/stratego.io | 040d8d0775594f531d588700128e86f744be2dff | [
"MIT"
] | 9 | 2016-03-13T11:54:02.000Z | 2021-11-28T04:28:51.000Z | import unittest
from mock import patch
import json
import copy
from google.appengine.ext import ndb
from webtest import TestApp
import api
import FIXTURES
import models
from utils import board_utils
from CONSTANTS import STATUS_CODES
app = TestApp(api.app)
class CreateHandlerTest(unittest.TestCase):
nosegae_datastore_v3 = True
def test_should_be_able_to_create_game(self):
app.post('/api/create', params={'board': json.dumps(FIXTURES.SETUP)})
game = models.Game.query().get()
self.assertEqual(game.get_board(), [
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 1, 1, 0, 0, 1, 1, 0, 0],
[0, 0, 1, 1, 0, 0, 1, 1, 0, 0],
[
{'side': 0, 'rank': '1'},
{'side': 0, 'rank': '2'},
{'side': 0, 'rank': '3'},
{'side': 0, 'rank': '3'},
{'side': 0, 'rank': '4'},
{'side': 0, 'rank': '4'},
{'side': 0, 'rank': '4'},
{'side': 0, 'rank': '5'},
{'side': 0, 'rank': '5'},
{'side': 0, 'rank': '5'}
],
[
{'side': 0, 'rank': '5'},
{'side': 0, 'rank': '6'},
{'side': 0, 'rank': '6'},
{'side': 0, 'rank': '6'},
{'side': 0, 'rank': '6'},
{'side': 0, 'rank': '7'},
{'side': 0, 'rank': '7'},
{'side': 0, 'rank': '7'},
{'side': 0, 'rank': '7'},
{'side': 0, 'rank': '8'}
],
[
{'side': 0, 'rank': '8'},
{'side': 0, 'rank': '8'},
{'side': 0, 'rank': '8'},
{'side': 0, 'rank': '8'},
{'side': 0, 'rank': '9'},
{'side': 0, 'rank': '9'},
{'side': 0, 'rank': '9'},
{'side': 0, 'rank': '9'},
{'side': 0, 'rank': '9'},
{'side': 0, 'rank': '9'}
],
[
{'side': 0, 'rank': '9'},
{'side': 0, 'rank': '9'},
{'side': 0, 'rank': 'S'},
{'side': 0, 'rank': 'B'},
{'side': 0, 'rank': 'B'},
{'side': 0, 'rank': 'B'},
{'side': 0, 'rank': 'B'},
{'side': 0, 'rank': 'B'},
{'side': 0, 'rank': 'B'},
{'side': 0, 'rank': 'F'}
]
])
self.assertEqual(len(game.red_hash), 6)
self.assertEqual(len(game.blue_hash), 6)
self.assertEqual(len(game.join_hash), 6)
# Make sure it is red's turn.
self.assertEqual(game.turn, False)
class JoinHandlerTest(unittest.TestCase):
nosegae_datastore_v3 = True
@patch('lib.pusher.pusher.Pusher.trigger')
def test_should_be_able_to_join_game(self, pusher):
app.post('/api/create', params={'board': json.dumps(FIXTURES.SETUP)})
game = models.Game.query().get()
app.post('/api/join', params={
'board': json.dumps(FIXTURES.SETUP),
'join_hash': game.join_hash
})
game = models.Game.query().get()
current_state_of_game = copy.deepcopy(FIXTURES.DEFAULT_GAME)
self.assertEqual(game.get_board(), current_state_of_game)
class MoveHandlerTest(unittest.TestCase):
nosegae_datastore_v3 = True
@patch('lib.pusher.pusher.Pusher.trigger')
def test_should_be_able_to_move(self, pusher):
app.post('/api/create', params={'board': json.dumps(FIXTURES.SETUP)})
game = models.Game.query().get()
app.post('/api/join', params={
'board': json.dumps(FIXTURES.SETUP),
'join_hash': game.join_hash
})
app.post('/api/move', params={
'player_hash': game.red_hash,
'side': 0,
'from': json.dumps({'x': 5, 'y': 6}),
'to': json.dumps({'x': 5, 'y': 5})
})
game = models.Game.query().get()
current_state_of_game = copy.deepcopy(FIXTURES.DEFAULT_GAME)
current_state_of_game[5][5] = {'side': 0, 'rank': '4'}
current_state_of_game[6][5] = 0
self.assertEqual(game.get_board(), current_state_of_game)
# Blue's turn
self.assertEqual(game.turn, 1)
@patch('lib.pusher.pusher.Pusher.trigger')
def test_should_be_able_to_attack_and_draw(self, pusher):
app.post('/api/create', params={'board': json.dumps(FIXTURES.SETUP)})
game = models.Game.query().get()
app.post('/api/join', params={
'board': json.dumps(FIXTURES.SETUP),
'join_hash': game.join_hash
})
app.post('/api/move', params={
'player_hash': game.red_hash,
'side': 0,
'from': json.dumps({'x': 5, 'y': 6}),
'to': json.dumps({'x': 5, 'y': 5})
})
app.post('/api/move', params={
'player_hash': game.blue_hash,
'side': 1,
'from': json.dumps({'x': 4, 'y': 6}),
'to': json.dumps({'x': 4, 'y': 5})
})
app.post('/api/move', params={
'player_hash': game.red_hash,
'side': 0,
'from': json.dumps({'x': 5, 'y': 5}),
'to': json.dumps({'x': 5, 'y': 4})
})
game = models.Game.query().get()
current_state_of_game = copy.deepcopy(FIXTURES.DEFAULT_GAME)
# These pieces should have been destroyed
current_state_of_game[3][5] = 0
current_state_of_game[6][5] = 0
self.assertEqual(game.get_board(), current_state_of_game)
self.assertEqual(game.get_last_move(), {
'type': 'draw',
'from': {
'piece': {'side': 0, 'rank': '4'},
'position': {'x': 5, 'y': 5}
},
'to': {
'piece': {'side': 1, 'rank': '4'},
'position': {'x': 5, 'y': 4}
}
})
# Blue's turn
self.assertEqual(game.turn, 1)
@patch('lib.pusher.pusher.Pusher.trigger')
def test_should_be_able_to_attack_and_win(self, pusher):
app.post('/api/create', params={'board': json.dumps(FIXTURES.SETUP)})
game = models.Game.query().get()
app.post('/api/join', params={
'board': json.dumps(FIXTURES.SETUP),
'join_hash': game.join_hash
})
app.post('/api/move', params={
'player_hash': game.red_hash,
'side': 0,
'from': json.dumps({'x': 1, 'y': 6}),
'to': json.dumps({'x': 1, 'y': 5})
})
app.post('/api/move', params={
'player_hash': game.blue_hash,
'side': 1,
'from': json.dumps({'x': 8, 'y': 6}),
'to': json.dumps({'x': 8, 'y': 5})
})
app.post('/api/move', params={
'player_hash': game.red_hash,
'side': 0,
'from': json.dumps({'x': 1, 'y': 5}),
'to': json.dumps({'x': 1, 'y': 4})
})
# app.post('/api/move', params={
# 'player_hash': game.blue_hash,
# 'side': 1,
# 'from': json.dumps({'x': 0, 'y': 4}),
# 'to': json.dumps({'x': 1, 'y': 4})
# })
game = models.Game.query().get()
current_state_of_game = copy.deepcopy(FIXTURES.DEFAULT_GAME)
current_state_of_game[3][1] = 0
current_state_of_game[6][1] = 0
current_state_of_game[4][1] = {'side': 0, 'rank': '2'}
self.assertEqual(game.get_board(), current_state_of_game)
self.assertEqual(game.get_last_move(), {
'type': 'won',
'from': {
'piece': {'side': 0, 'rank': '2'},
'position': {'x': 1, 'y': 5}
},
'to': {
'piece': {'side': 1, 'rank': '5'},
'position': {'x': 1, 'y': 4}
}
})
# Blue's turn
self.assertEqual(game.turn, 1)
@patch('lib.pusher.pusher.Pusher.trigger')
def test_should_be_able_to_attack_and_lose(self, pusher):
app.post('/api/create', params={'board': json.dumps(FIXTURES.SETUP)})
game = models.Game.query().get()
app.post('/api/join', params={
'board': json.dumps(FIXTURES.SETUP),
'join_hash': game.join_hash
})
app.post('/api/move', params={
'player_hash': game.red_hash,
'side': 0,
'from': json.dumps({'x': 1, 'y': 6}),
'to': json.dumps({'x': 1, 'y': 5})
})
app.post('/api/move', params={
'player_hash': game.blue_hash,
'side': 1,
'from': json.dumps({'x': 9, 'y': 6}),
'to': json.dumps({'x': 9, 'y': 5})
})
app.post('/api/move', params={
'player_hash': game.red_hash,
'side': 0,
'from': json.dumps({'x': 1, 'y': 5}),
'to': json.dumps({'x': 1, 'y': 4})
})
app.post('/api/move', params={
'player_hash': game.blue_hash,
'side': 1,
'from': json.dumps({'x': 9, 'y': 5}),
'to': json.dumps({'x': 8, 'y': 5})
})
game = models.Game.query().get()
current_state_of_game = copy.deepcopy(FIXTURES.DEFAULT_GAME)
current_state_of_game[6][1] = 0
current_state_of_game[3][0] = 0
current_state_of_game[4][1] = {'side': 0, 'rank': '2'}
self.assertEqual(game.get_board(), current_state_of_game)
self.assertEqual(game.get_last_move(), {
'type': 'lost',
'from': {
'piece': {'side': 1, 'rank': '5'},
'position': {'x': 0, 'y': 4}
},
'to': {
'piece': {'side': 0, 'rank': '2'},
'position': {'x': 1, 'y': 4}
}
})
# Red's turn
self.assertEqual(game.turn, 0)
@patch('lib.pusher.pusher.Pusher.trigger')
def test_violate_two_square_rule(self, pusher):
app.post('/api/create', params={'board': json.dumps(FIXTURES.SETUP)})
game = models.Game.query().get()
app.post('/api/join', params={
'board': json.dumps(FIXTURES.SETUP),
'join_hash': game.join_hash
})
# Red 1st
app.post('/api/move', params={
'player_hash': game.red_hash,
'side': 0,
'from': json.dumps({'x': 0, 'y': 6}),
'to': json.dumps({'x': 0, 'y': 5})
})
# Blue 1st
app.post('/api/move', params={
'player_hash': game.blue_hash,
'side': 1,
'from': json.dumps({'x': 9, 'y': 6}),
'to': json.dumps({'x': 9, 'y': 5})
})
# Red 2nd
app.post('/api/move', params={
'player_hash': game.red_hash,
'side': 0,
'from': json.dumps({'x': 0, 'y': 5}),
'to': json.dumps({'x': 0, 'y': 6})
})
# Blue 2nd
app.post('/api/move', params={
'player_hash': game.blue_hash,
'side': 1,
'from': json.dumps({'x': 9, 'y': 5}),
'to': json.dumps({'x': 9, 'y': 6})
})
# Red 3rd
app.post('/api/move', params={
'player_hash': game.red_hash,
'side': 0,
'from': json.dumps({'x': 0, 'y': 6}),
'to': json.dumps({'x': 0, 'y': 5})
})
# Blue 3rd
app.post('/api/move', params={
'player_hash': game.blue_hash,
'side': 1,
'from': json.dumps({'x': 9, 'y': 6}),
'to': json.dumps({'x': 9, 'y': 5})
})
game = models.Game.query().get()
self.assertEqual(len(game.get_moves()), 6)
# Red tries to break two-square rule
response = app.post('/api/move', params={
'player_hash': game.red_hash,
'side': 0,
'from': json.dumps({'x': 0, 'y': 5}),
'to': json.dumps({'x': 0, 'y': 6})
}, expect_errors=True)
self.assertEqual(response.status_code, STATUS_CODES.UNAUTHORIZED)
self.assertEqual(response.json_body['message'],
'That move violates the two-square rule.'
)
# Red 4th
app.post('/api/move', params={
'player_hash': game.red_hash,
'side': 0,
'from': json.dumps({'x': 1, 'y': 6}),
'to': json.dumps({'x': 1, 'y': 5})
})
self.assertEqual(len(game.get_moves()), 7)
# Blue's turn
self.assertEqual(game.turn, True)
# Blue tries to break two-square rule
response = app.post('/api/move', params={
'player_hash': game.blue_hash,
'side': 1,
'from': json.dumps({'x': 9, 'y': 5}),
'to': json.dumps({'x': 9, 'y': 6})
}, expect_errors=True)
self.assertEqual(response.status_code, STATUS_CODES.UNAUTHORIZED)
self.assertEqual(response.json_body['message'],
'That move violates the two-square rule.'
)
self.assertEqual(len(game.get_moves()), 7)
# Still Blue's turn
self.assertEqual(game.turn, True)
@patch('lib.pusher.pusher.Pusher.trigger')
def test_scout_violate_two_square_rule(self, pusher):
app.post('/api/create', params={'board': json.dumps(FIXTURES.SETUP)})
game = models.Game.query().get()
app.post('/api/join', params={
'board': json.dumps(FIXTURES.SETUP),
'join_hash': game.join_hash
})
game.set_board([
[{'rank': '9', 'side': 1}, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, {'rank': '9', 'side': 0}],
])
game.put()
# Red's 1st
app.post('/api/move', params={
'player_hash': game.red_hash,
'side': 0,
'from': json.dumps({'x': 9, 'y': 9}),
'to': json.dumps({'x': 9, 'y': 5})
})
# Blue's 1st
app.post('/api/move', params={
'player_hash': game.blue_hash,
'side': 1,
'from': json.dumps({'x': 9, 'y': 9}),
'to': json.dumps({'x': 9, 'y': 5})
})
# Red's 2nd
app.post('/api/move', params={
'player_hash': game.red_hash,
'side': 0,
'from': json.dumps({'x': 9, 'y': 5}),
'to': json.dumps({'x': 9, 'y': 9})
})
# Blue's 2nd
app.post('/api/move', params={
'player_hash': game.blue_hash,
'side': 1,
'from': json.dumps({'x': 9, 'y': 5}),
'to': json.dumps({'x': 9, 'y': 9})
})
# Red's 3rd
app.post('/api/move', params={
'player_hash': game.red_hash,
'side': 0,
'from': json.dumps({'x': 9, 'y': 9}),
'to': json.dumps({'x': 9, 'y': 5})
})
# Blue's 3rd
app.post('/api/move', params={
'player_hash': game.blue_hash,
'side': 1,
'from': json.dumps({'x': 9, 'y': 9}),
'to': json.dumps({'x': 9, 'y': 5})
})
# Red tries to break two-square rule
response = app.post('/api/move', params={
'player_hash': game.red_hash,
'side': 0,
'from': json.dumps({'x': 9, 'y': 5}),
'to': json.dumps({'x': 9, 'y': 8})
}, expect_errors=True)
self.assertEqual(response.status_code, STATUS_CODES.UNAUTHORIZED)
self.assertEqual(response.json_body['message'],
'That move violates the two-square rule.'
)
# Red tries to break two-square rule
response = app.post('/api/move', params={
'player_hash': game.red_hash,
'side': 0,
'from': json.dumps({'x': 9, 'y': 5}),
'to': json.dumps({'x': 9, 'y': 6})
}, expect_errors=True)
self.assertEqual(response.status_code, STATUS_CODES.UNAUTHORIZED)
self.assertEqual(response.json_body['message'],
'That move violates the two-square rule.'
)
response = app.post('/api/move', params={
'player_hash': game.red_hash,
'side': 0,
'from': json.dumps({'x': 9, 'y': 5}),
'to': json.dumps({'x': 9, 'y': 0})
})
# Different axis shouldn't trigger 2S.
app.post('/api/move', params={
'player_hash': game.blue_hash,
'side': 1,
'from': json.dumps({'x': 9, 'y': 5}),
'to': json.dumps({'x': 0, 'y': 5})
})
@patch('lib.pusher.pusher.Pusher.trigger')
def test_scout_violate_two_square_rule_with_two_different_pieces(self, pusher):
app.post('/api/create', params={'board': json.dumps(FIXTURES.SETUP)})
game = models.Game.query().get()
app.post('/api/join', params={
'board': json.dumps(FIXTURES.SETUP),
'join_hash': game.join_hash
})
game.set_board([
[{'rank': '9', 'side': 1}, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[{'rank': '9', 'side': 1}, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, {'rank': '9', 'side': 0}],
[0, 0, 0, 0, 0, 0, 0, 0, 0, {'rank': '9', 'side': 0}],
])
game.put()
# Red's 1st
app.post('/api/move', params={
'player_hash': game.red_hash,
'side': 0,
'from': json.dumps({'x': 9, 'y': 8}),
'to': json.dumps({'x': 9, 'y': 3})
})
# Blue's 1st
app.post('/api/move', params={
'player_hash': game.blue_hash,
'side': 1,
'from': json.dumps({'x': 9, 'y': 8}),
'to': json.dumps({'x': 9, 'y': 3})
})
# Red's 2nd
app.post('/api/move', params={
'player_hash': game.red_hash,
'side': 0,
'from': json.dumps({'x': 9, 'y': 3}),
'to': json.dumps({'x': 9, 'y': 8})
})
# Blue's 2nd
app.post('/api/move', params={
'player_hash': game.blue_hash,
'side': 1,
'from': json.dumps({'x': 9, 'y': 3}),
'to': json.dumps({'x': 9, 'y': 8})
})
# Red's 3rd
app.post('/api/move', params={
'player_hash': game.red_hash,
'side': 0,
'from': json.dumps({'x': 9, 'y': 8}),
'to': json.dumps({'x': 9, 'y': 3})
})
# Blue's 3rd
app.post('/api/move', params={
'player_hash': game.blue_hash,
'side': 1,
'from': json.dumps({'x': 9, 'y': 8}),
'to': json.dumps({'x': 9, 'y': 3})
})
# Red's 4th move with different piece - shouldn't break 2S rule.
app.post('/api/move', params={
'player_hash': game.red_hash,
'side': 0,
'from': json.dumps({'x': 9, 'y': 9}),
'to': json.dumps({'x': 9, 'y': 4})
})
| 31.650718 | 83 | 0.441875 | 2,494 | 19,845 | 3.412991 | 0.052927 | 0.056156 | 0.08071 | 0.104793 | 0.933741 | 0.925164 | 0.902961 | 0.868421 | 0.855146 | 0.84328 | 0 | 0.048381 | 0.354245 | 19,845 | 626 | 84 | 31.701278 | 0.615841 | 0.037037 | 0 | 0.84696 | 0 | 0 | 0.139067 | 0.013424 | 0 | 0 | 0 | 0 | 0.062893 | 1 | 0.018868 | false | 0 | 0.023061 | 0 | 0.054507 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
9f6605a60c951cd5ca120704402cf8102072fef0 | 198 | py | Python | drugstore/shop/tests/__init__.py | lexover/vue-django-webstore-example | 4710628000ac237319bce4aa64aed4fb75779cf2 | [
"MIT"
] | null | null | null | drugstore/shop/tests/__init__.py | lexover/vue-django-webstore-example | 4710628000ac237319bce4aa64aed4fb75779cf2 | [
"MIT"
] | null | null | null | drugstore/shop/tests/__init__.py | lexover/vue-django-webstore-example | 4710628000ac237319bce4aa64aed4fb75779cf2 | [
"MIT"
] | null | null | null | from . import test_product_group
from . import test_product
from . import test_product_names
from . import test_user
from . import test_countries
from . import test_review
from . import helper | 28.285714 | 33 | 0.79798 | 29 | 198 | 5.172414 | 0.344828 | 0.466667 | 0.56 | 0.42 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.166667 | 198 | 7 | 34 | 28.285714 | 0.909091 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 8 |
9f6668879ee8a4c27d04361f321a7a5b1bec6e60 | 9,068 | py | Python | beartype_test/a00_unit/a00_util/func/test_utilfunctest.py | qiujiangkun/beartype | d3ee7e617f1c2281d438321e2c2ec3fd6b4cec8c | [
"MIT"
] | null | null | null | beartype_test/a00_unit/a00_util/func/test_utilfunctest.py | qiujiangkun/beartype | d3ee7e617f1c2281d438321e2c2ec3fd6b4cec8c | [
"MIT"
] | null | null | null | beartype_test/a00_unit/a00_util/func/test_utilfunctest.py | qiujiangkun/beartype | d3ee7e617f1c2281d438321e2c2ec3fd6b4cec8c | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# --------------------( LICENSE )--------------------
# Copyright (c) 2014-2022 Beartype authors.
# See "LICENSE" for further details.
'''
Project-wide **callable tester utility unit tests.**
This submodule unit tests the public API of the private
:mod:`beartype._util.utilfunc.utilfunctest` submodule.
'''
# ....................{ IMPORTS }....................
#!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
# WARNING: To raise human-readable test errors, avoid importing from
# package-specific submodules at module scope.
#!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
# ....................{ TESTS ~ async }....................
def test_is_func_async() -> None:
'''
Test the
:func:`beartype._util.func.utilfunctest.is_func_async` tester.
'''
# Defer heavyweight imports.
from beartype.roar._roarexc import _BeartypeUtilCallableException
from beartype._util.func.utilfunctest import is_func_async
from beartype_test.a00_unit.data.data_type import (
async_generator,
async_generator_factory,
async_coroutine,
async_coroutine_factory,
sync_generator,
sync_generator_factory,
function,
)
# Assert this tester accepts pure-Python coroutine callables.
assert is_func_async(async_coroutine_factory) is True
# Assert this tester rejects pure-Python coroutine objects.
assert is_func_async(async_coroutine) is False
# Assert this tester accepts pure-Python asynchronous generator callables.
assert is_func_async(async_generator_factory) is True
# Assert this tester rejects pure-Python asynchronous generator objects.
assert is_func_async(async_generator) is False
# Assert this tester rejects pure-Python synchronous generator callables.
assert is_func_async(sync_generator_factory) is False
# Assert this tester rejects pure-Python synchronous generator objects.
assert is_func_async(sync_generator) is False
# Assert this tester rejects pure-Python non-asynchronous callables.
assert is_func_async(function) is False
# Assert this tester rejects arbitrary non-asynchronous objects.
assert is_func_async('To hear—an old and solemn harmony;') is False
def test_is_func_async_coroutine() -> None:
'''
Test the
:func:`beartype._util.func.utilfunctest.is_func_async_coroutine` function.
'''
# Defer heavyweight imports.
from beartype._util.func.utilfunctest import is_func_async_coroutine
from beartype.roar._roarexc import _BeartypeUtilCallableException
from beartype_test.a00_unit.data.data_type import (
async_generator,
async_generator_factory,
async_coroutine,
async_coroutine_factory,
function,
)
# Assert this tester accepts pure-Python coroutine callables.
assert is_func_async_coroutine(async_coroutine_factory) is True
# Assert this tester rejects pure-Python coroutine objects.
assert is_func_async_coroutine(async_coroutine) is False
# Assert this tester rejects pure-Python asynchronous generator callables.
assert is_func_async_coroutine(async_generator_factory) is False
# Assert this tester rejects pure-Python asynchronous generator objects.
assert is_func_async_coroutine(async_generator) is False
# Assert this tester rejects pure-Python non-asynchronous callables.
assert is_func_async_coroutine(function) is False
# Assert this tester rejects arbitrary non-asynchronous objects.
assert is_func_async_coroutine('To hear—an old and solemn harmony;') is (
False)
def test_is_func_async_generator() -> None:
'''
Test the
:func:`beartype._util.func.utilfunctest.is_func_async_generator` function.
'''
# Defer heavyweight imports.
from beartype._util.func.utilfunctest import is_func_async_generator
from beartype.roar._roarexc import _BeartypeUtilCallableException
from beartype_test.a00_unit.data.data_type import (
async_coroutine,
async_coroutine_factory,
async_generator,
async_generator_factory,
sync_generator,
sync_generator_factory,
function,
)
# Assert this tester accepts pure-Python asynchronous generator callables.
assert is_func_async_generator(async_generator_factory) is True
# Assert this tester rejects pure-Python asynchronous generator objects.
assert is_func_async_generator(async_generator) is False
# Assert this tester rejects pure-Python coroutine callables.
assert is_func_async_generator(async_coroutine_factory) is False
# Assert this tester rejects pure-Python coroutine objects.
assert is_func_async_generator(async_coroutine) is False
# Assert this tester rejects pure-Python synchronous generator callables.
assert is_func_async_generator(sync_generator_factory) is False
# Assert this tester rejects pure-Python synchronous generator objects.
assert is_func_async_generator(sync_generator) is False
# Assert this tester rejects pure-Python non-asynchronous callables.
assert is_func_async_generator(function) is False
# Assert this tester rejects arbitrary non-asynchronous objects.
assert is_func_async_generator('To hear—an old and solemn harmony;') is (
False)
# ....................{ TESTS ~ sync }....................
def test_is_func_sync_generator() -> None:
'''
Test the
:func:`beartype._util.func.utilfunctest.is_func_sync_generator` function.
'''
# Defer heavyweight imports.
from beartype._util.func.utilfunctest import is_func_sync_generator
from beartype.roar._roarexc import _BeartypeUtilCallableException
from beartype_test.a00_unit.data.data_type import (
async_coroutine,
async_coroutine_factory,
async_generator,
async_generator_factory,
sync_generator,
sync_generator_factory,
function,
)
# Assert this tester rejects pure-Python asynchronous generator callables.
assert is_func_sync_generator(async_generator_factory) is False
# Assert this tester rejects pure-Python asynchronous generator objects.
assert is_func_sync_generator(async_generator) is False
# Assert this tester rejects pure-Python coroutine callables.
assert is_func_sync_generator(async_coroutine_factory) is False
# Assert this tester rejects pure-Python coroutine objects.
assert is_func_sync_generator(async_coroutine) is False
# Assert this tester accepts pure-Python synchronous generator callables.
assert is_func_sync_generator(sync_generator_factory) is True
# Assert this tester accepts pure-Python synchronous generator objects.
assert is_func_sync_generator(sync_generator) is False
# Assert this tester rejects pure-Python non-asynchronous callables.
assert is_func_sync_generator(function) is False
# Assert this tester rejects arbitrary non-asynchronous objects.
assert is_func_sync_generator('To hear—an old and solemn harmony;') is (
False)
# ....................{ TESTS ~ lambda }....................
def test_is_func_lambda() -> None:
'''
Test the
:func:`beartype._util.func.utilfunctest.is_func_lambda` function.
'''
# Defer heavyweight imports.
from beartype._util.func.utilfunctest import is_func_lambda
def intimations_of_immortality(): 'from Recollections of Early Childhood'
# Assert this tester accepts pure-Python lambda functions.
assert is_func_lambda(lambda: True) is True
# Assert this tester rejects pure-Python non-lambda callables.
assert is_func_lambda(intimations_of_immortality) is False
# Assert this tester rejects C-based callables.
assert is_func_lambda(iter) is False
# ....................{ TESTS ~ python }....................
def test_die_unless_func_python() -> None:
'''
Test the
:func:`beartype._util.func.utilfunctest.die_unless_func_python` function.
'''
# Defer heavyweight imports.
from beartype._util.func.utilfunctest import die_unless_func_python
from beartype.roar._roarexc import _BeartypeUtilCallableException
from pytest import raises
# Assert this validator accepts pure-Python callables.
die_unless_func_python(lambda: True)
# Assert this validator rejects C-based callables.
with raises(_BeartypeUtilCallableException):
die_unless_func_python(iter)
def test_is_func_python() -> None:
'''
Test the
:func:`beartype._util.func.utilfunctest.is_func_python` function.
'''
# Defer heavyweight imports.
from beartype._util.func.utilfunctest import is_func_python
# Assert this tester accepts pure-Python callables.
assert is_func_python(lambda: True) is True
# Assert this tester rejects C-based callables.
assert is_func_python(iter) is False
| 37.012245 | 79 | 0.709969 | 1,073 | 9,068 | 5.754893 | 0.096925 | 0.051498 | 0.090688 | 0.100567 | 0.867206 | 0.847773 | 0.831741 | 0.801457 | 0.759514 | 0.750769 | 0 | 0.002312 | 0.189127 | 9,068 | 244 | 80 | 37.163934 | 0.836937 | 0.45633 | 0 | 0.395833 | 0 | 0 | 0.036261 | 0 | 0 | 0 | 0 | 0 | 0.364583 | 1 | 0.083333 | true | 0 | 0.177083 | 0 | 0.260417 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
9fb6285591e291406d9acb0bd30fb46053e69f88 | 571 | py | Python | src/pa/units/static/holkins/flicker_alpha.py | domdom/com.pa.domdom.laser_unit_effects.src | dac7500d3dc6665f8d6cd1a6c6442b6628adb162 | [
"MIT"
] | null | null | null | src/pa/units/static/holkins/flicker_alpha.py | domdom/com.pa.domdom.laser_unit_effects.src | dac7500d3dc6665f8d6cd1a6c6442b6628adb162 | [
"MIT"
] | null | null | null | src/pa/units/static/holkins/flicker_alpha.py | domdom/com.pa.domdom.laser_unit_effects.src | dac7500d3dc6665f8d6cd1a6c6442b6628adb162 | [
"MIT"
] | null | null | null | flashes = 10
start_alpha = 0.6
end_alpha = 0.0
o = []
for i in range(flashes):
t = float(i) / flashes
if i % 3 == 0:
a = t * end_alpha + (1 - t) * start_alpha
else:
a = 0.1
o.append([t, a])
print(o)
o = []
for i in range(flashes):
t = float(i) / flashes
if i % 3 == 1:
a = t * end_alpha + (1 - t) * start_alpha
else:
a = 0
o.append([t, a])
print(o)
o = []
for i in range(flashes):
t = float(i) / flashes
if i % 3 == 2:
a = t * end_alpha + (1 - t) * start_alpha
else:
a = 0
o.append([t, a])
print(o) | 14.275 | 44 | 0.495622 | 104 | 571 | 2.644231 | 0.211538 | 0.145455 | 0.054545 | 0.076364 | 0.872727 | 0.872727 | 0.872727 | 0.872727 | 0.872727 | 0.872727 | 0 | 0.049738 | 0.330998 | 571 | 40 | 45 | 14.275 | 0.670157 | 0 | 0 | 0.766667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
e219b16baed24fdb2615a023dd531e2b2b006817 | 1,517 | py | Python | machine-learning-ex1/ex1/gradientDescent.py | RunningGump/coursera-ml-py | 7287a0c143660e4e10ea019607c9fc818fe1367a | [
"MIT"
] | 1 | 2019-05-12T07:04:53.000Z | 2019-05-12T07:04:53.000Z | machine-learning-ex1/ex1/gradientDescent.py | RunningGump/coursera-ml-py | 7287a0c143660e4e10ea019607c9fc818fe1367a | [
"MIT"
] | null | null | null | machine-learning-ex1/ex1/gradientDescent.py | RunningGump/coursera-ml-py | 7287a0c143660e4e10ea019607c9fc818fe1367a | [
"MIT"
] | null | null | null | import numpy as np
from computeCost import *
def gradient_descent(X, y, theta, alpha, num_iters):
# Initialize some useful values
m = y.size
J_history = np.zeros(num_iters)
for i in range(0, num_iters):
# ===================== Your Code Here =====================
# Instructions : Perform a single gradient step on the parameter vector theta
#
# Hint: X.shape = (97, 2), y.shape = (97, ), theta.shape = (2, )
error = np.dot(X, theta).flatten() - y
theta -= (alpha/m) * np.sum(X * error[:, np.newaxis], axis=0)
# ===========================================================
# Save the cost every iteration
J_history[i] = compute_cost(X, y, theta)
return theta, J_history
def gradient_descent_multi(X, y, theta, alpha, num_iters):
# Initialize some useful values
m = y.size
J_history = np.zeros(num_iters)
for i in range(0, num_iters):
# ===================== Your Code Here =====================
# Instructions : Perform a single gradient step on the parameter vector theta
# either using flatten func or not are all ok
# error = np.dot(X, theta).flatten() - y
error = np.dot(X, theta) - y
theta -= (alpha / m) * np.sum(X * error[:, np.newaxis], axis=0)
# ===========================================================
# Save the cost every iteration
J_history[i] = compute_cost(X, y, theta)
return theta, J_history
| 35.27907 | 85 | 0.514173 | 190 | 1,517 | 4.015789 | 0.347368 | 0.047182 | 0.036697 | 0.04325 | 0.811271 | 0.790301 | 0.790301 | 0.728702 | 0.728702 | 0.728702 | 0 | 0.008889 | 0.258405 | 1,517 | 43 | 86 | 35.27907 | 0.669333 | 0.431773 | 0 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.023256 | 0 | 1 | 0.111111 | false | 0 | 0.111111 | 0 | 0.333333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
e2577713f023ebc2513102fc0d47d91f95adad91 | 73 | py | Python | torchfactor/__init__.py | Aaron09/torchfactor | 66782a183c583e3056e2c40d8d95568f4abb9537 | [
"MIT"
] | 5 | 2020-05-06T23:53:25.000Z | 2021-09-15T01:54:13.000Z | torchfactor/__init__.py | Aaron09/torchfactor | 66782a183c583e3056e2c40d8d95568f4abb9537 | [
"MIT"
] | null | null | null | torchfactor/__init__.py | Aaron09/torchfactor | 66782a183c583e3056e2c40d8d95568f4abb9537 | [
"MIT"
] | 1 | 2021-01-09T02:12:03.000Z | 2021-01-09T02:12:03.000Z | from torchfactor import factorization
from torchfactor import experiment
| 24.333333 | 37 | 0.890411 | 8 | 73 | 8.125 | 0.625 | 0.461538 | 0.646154 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.109589 | 73 | 2 | 38 | 36.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
e279ac734ce06ddd390555debd69dbce5e6ef781 | 147 | py | Python | config.py | wj-Mcat/model-getting-started | abe8c9df10b45841eeb38e859e680a37ec03fe8a | [
"Apache-2.0"
] | null | null | null | config.py | wj-Mcat/model-getting-started | abe8c9df10b45841eeb38e859e680a37ec03fe8a | [
"Apache-2.0"
] | null | null | null | config.py | wj-Mcat/model-getting-started | abe8c9df10b45841eeb38e859e680a37ec03fe8a | [
"Apache-2.0"
] | 1 | 2021-05-11T14:44:45.000Z | 2021-05-11T14:44:45.000Z | from __future__ import annotations
from logging import Logger
from loguru import logger
def create_logger() -> Logger:
return logger | 18.375 | 34 | 0.748299 | 18 | 147 | 5.833333 | 0.555556 | 0.228571 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.217687 | 147 | 8 | 35 | 18.375 | 0.913043 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | true | 0 | 0.6 | 0.2 | 1 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 7 |
e2af338a098d76dd1a04240596904e0e2c7cc8ea | 10,560 | py | Python | python/smurff/test/test_bpmf.py | msteijaert/smurff | e6066d51e1640e9aad0118628ba72c9d662919fb | [
"MIT"
] | null | null | null | python/smurff/test/test_bpmf.py | msteijaert/smurff | e6066d51e1640e9aad0118628ba72c9d662919fb | [
"MIT"
] | null | null | null | python/smurff/test/test_bpmf.py | msteijaert/smurff | e6066d51e1640e9aad0118628ba72c9d662919fb | [
"MIT"
] | null | null | null | import unittest
import numpy as np
import pandas as pd
import scipy.sparse
import smurff
import itertools
import collections
verbose = 0
class TestBPMF(unittest.TestCase):
# Python 2.7 @unittest.skip fix
__name__ = "TestSmurff"
def test_bpmf(self):
Y = scipy.sparse.rand(10, 20, 0.2)
Y, Ytest = smurff.make_train_test(Y, 0.5)
predictions = smurff.bpmf(Y,
Ytest=Ytest,
num_latent=4,
verbose=verbose,
burnin=50,
nsamples=50)
self.assertEqual(Ytest.nnz, len(predictions))
def test_bpmf_numerictest(self):
X = scipy.sparse.rand(15, 10, 0.2)
Xt = 0.3
X, Xt = smurff.make_train_test(X, Xt)
smurff.bpmf(X,
Ytest=Xt,
num_latent=10,
burnin=10,
nsamples=15,
verbose=verbose)
def test_bpmf_emptytest(self):
X = scipy.sparse.rand(15, 10, 0.2)
smurff.bpmf(X,
num_latent=10,
burnin=10,
nsamples=15,
verbose=verbose)
def test_bpmf_tensor(self):
np.random.seed(1234)
Y = smurff.SparseTensor(pd.DataFrame({
"A": np.random.randint(0, 5, 7),
"B": np.random.randint(0, 4, 7),
"C": np.random.randint(0, 3, 7),
"value": np.random.randn(7)
}))
Ytest = smurff.SparseTensor(pd.DataFrame({
"A": np.random.randint(0, 5, 5),
"B": np.random.randint(0, 4, 5),
"C": np.random.randint(0, 3, 5),
"value": np.random.randn(5)
}))
predictions = smurff.bpmf(Y,
Ytest=Ytest,
num_latent=4,
verbose=verbose,
burnin=50,
nsamples=50)
def test_bpmf_sparse_matrix_sparse_2d_tensor(self):
np.random.seed(1234)
# Generate train matrix rows, cols and vals
train_shape = (5, 5)
train_rows = np.random.randint(0, 5, 7)
train_cols = np.random.randint(0, 4, 7)
train_vals = np.random.randn(7)
# Generate test matrix rows, cols and vals
test_shape = (5, 5)
test_rows = np.random.randint(0, 5, 5)
test_cols = np.random.randint(0, 4, 5)
test_vals = np.random.randn(5)
# Create train and test sparse matrices
train_sparse_matrix = scipy.sparse.coo_matrix((train_vals, (train_rows, train_cols)), train_shape)
test_sparse_matrix = scipy.sparse.coo_matrix((test_vals, (test_rows, test_cols)), test_shape)
# Force NNZ recalculation to remove duplicate coordinates because of random generation
train_sparse_matrix.count_nonzero()
test_sparse_matrix.count_nonzero()
# Create train and test sparse tensors
train_sparse_tensor = smurff.SparseTensor(pd.DataFrame({
'0': train_sparse_matrix.row,
'1': train_sparse_matrix.col,
'v': train_sparse_matrix.data
}), train_shape)
test_sparse_tensor = smurff.SparseTensor(pd.DataFrame({
'0': test_sparse_matrix.row,
'1': test_sparse_matrix.col,
'v': test_sparse_matrix.data
}), train_shape)
# Run SMURFF
sparse_matrix_predictions = smurff.bpmf(train_sparse_matrix,
Ytest=test_sparse_matrix,
num_latent=4,
num_threads=1,
verbose=verbose,
burnin=50,
nsamples=50,
seed=1234)
sparse_tensor_predictions = smurff.bpmf(train_sparse_tensor,
Ytest=test_sparse_tensor,
num_latent=4,
num_threads=1,
verbose=verbose,
burnin=50,
nsamples=50,
seed=1234)
# Transfrom SMURFF results to dictionary of coords and predicted values
sparse_matrix_predictions_dict = collections.OrderedDict((p.coords, p.pred_1sample) for p in sparse_matrix_predictions)
sparse_tensor_predictions_dict = collections.OrderedDict((p.coords, p.pred_1sample) for p in sparse_tensor_predictions)
self.assertEqual(len(sparse_matrix_predictions_dict), len(sparse_tensor_predictions_dict))
self.assertEqual(sparse_tensor_predictions_dict.keys(), sparse_tensor_predictions_dict.keys())
for coords, matrix_pred_1sample in sparse_matrix_predictions_dict.items():
tensor_pred_1sample = sparse_tensor_predictions_dict[coords]
self.assertAlmostEqual(matrix_pred_1sample, tensor_pred_1sample)
def test_bpmf_dense_matrix_sparse_2d_tensor(self):
np.random.seed(1234)
# Generate train dense matrix
train_shape = (5 ,5)
train_sparse_matrix = scipy.sparse.random(5, 5, density=1.0)
train_dense_matrix = train_sparse_matrix.todense()
# Generate test sparse matrix
test_shape = (5, 5)
test_rows = np.random.randint(0, 5, 5)
test_cols = np.random.randint(0, 4, 5)
test_vals = np.random.randn(5)
test_sparse_matrix = scipy.sparse.coo_matrix((test_vals, (test_rows, test_cols)), test_shape)
# Create train and test sparse tensors
train_sparse_tensor = smurff.SparseTensor(pd.DataFrame({
'0': train_sparse_matrix.row,
'1': train_sparse_matrix.col,
'v': train_sparse_matrix.data
}), train_shape)
test_sparse_tensor = smurff.SparseTensor(pd.DataFrame({
'0': test_sparse_matrix.row,
'1': test_sparse_matrix.col,
'v': test_sparse_matrix.data
}), train_shape)
# Run SMURFF
sparse_matrix_predictions = smurff.bpmf(train_dense_matrix,
Ytest=test_sparse_matrix,
num_latent=4,
num_threads=1,
verbose=verbose,
burnin=50,
nsamples=50,
seed=1234)
sparse_tensor_predictions = smurff.bpmf(train_sparse_tensor,
Ytest=test_sparse_tensor,
num_latent=4,
num_threads=1,
verbose=verbose,
burnin=50,
nsamples=50,
seed=1234)
# Transfrom SMURFF predictions to dictionary of coords and predicted values
sparse_matrix_predictions_dict = collections.OrderedDict((p.coords, p.pred_1sample) for p in sparse_matrix_predictions)
sparse_tensor_predictions_dict = collections.OrderedDict((p.coords, p.pred_1sample) for p in sparse_tensor_predictions)
self.assertEqual(len(sparse_matrix_predictions_dict), len(sparse_tensor_predictions_dict))
self.assertEqual(sparse_tensor_predictions_dict.keys(), sparse_tensor_predictions_dict.keys())
for coords, matrix_pred_1sample in sparse_matrix_predictions_dict.items():
tensor_pred_1sample = sparse_tensor_predictions_dict[coords]
self.assertAlmostEqual(matrix_pred_1sample, tensor_pred_1sample)
def test_bpmf_tensor2(self):
A = np.random.randn(15, 2)
B = np.random.randn(20, 2)
C = np.random.randn(3, 2)
idx = list( itertools.product(np.arange(A.shape[0]), np.arange(B.shape[0]), np.arange(C.shape[0])) )
df = pd.DataFrame( np.asarray(idx), columns=["A", "B", "C"])
df["value"] = np.array([ np.sum(A[i[0], :] * B[i[1], :] * C[i[2], :]) for i in idx ])
Ytrain, Ytest = smurff.make_train_test_df(df, 0.2)
predictions = smurff.bpmf(Ytrain,
Ytest=Ytest,
num_latent=4,
verbose=verbose,
burnin=20,
nsamples=20)
rmse = smurff.calc_rmse(predictions)
self.assertTrue(rmse < 0.5,
msg="Tensor factorization gave RMSE above 0.5 (%f)." % rmse)
def test_bpmf_tensor3(self):
A = np.random.randn(15, 2)
B = np.random.randn(20, 2)
C = np.random.randn(1, 2)
idx = list( itertools.product(np.arange(A.shape[0]), np.arange(B.shape[0]), np.arange(C.shape[0])) )
df = pd.DataFrame( np.asarray(idx), columns=["A", "B", "C"])
df["value"] = np.array([ np.sum(A[i[0], :] * B[i[1], :] * C[i[2], :]) for i in idx ])
Ytrain, Ytest = smurff.make_train_test_df(df, 0.2)
predictions = smurff.bpmf(Ytrain,
Ytest=Ytest,
num_latent=4,
verbose=verbose,
burnin=20,
nsamples=20)
rmse = smurff.calc_rmse(predictions)
self.assertTrue(rmse < 0.5,
msg="Tensor factorization gave RMSE above 0.5 (%f)." % rmse)
Ytrain_df = Ytrain.data
Ytest_df = Ytest.data
Ytrain_sp = scipy.sparse.coo_matrix( (Ytrain_df.value, (Ytrain_df.A, Ytrain_df.B) ) )
Ytest_sp = scipy.sparse.coo_matrix( (Ytest_df.value, (Ytest_df.A, Ytest_df.B) ) )
results_mat = smurff.bpmf(Ytrain_sp,
Ytest=Ytest_sp,
num_latent=4,
verbose=verbose,
burnin=20,
nsamples=20)
if __name__ == '__main__':
unittest.main()
| 42.926829 | 127 | 0.516288 | 1,143 | 10,560 | 4.543307 | 0.120735 | 0.078567 | 0.062007 | 0.036973 | 0.819565 | 0.780666 | 0.746389 | 0.746389 | 0.746389 | 0.728288 | 0 | 0.035965 | 0.391761 | 10,560 | 245 | 128 | 43.102041 | 0.772536 | 0.050284 | 0 | 0.720207 | 0 | 0 | 0.015377 | 0 | 0 | 0 | 0 | 0 | 0.046632 | 1 | 0.041451 | false | 0 | 0.036269 | 0 | 0.088083 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
e2b6b42883991e38066ea513c39f2cc230d65a9e | 180 | py | Python | mlprogram/languages/c/__init__.py | HiroakiMikami/mlprogram | 573e94c567064705fa65267dd83946bf183197de | [
"MIT"
] | 9 | 2020-05-24T11:25:01.000Z | 2022-03-28T15:32:10.000Z | mlprogram/languages/c/__init__.py | HiroakiMikami/mlprogram | 573e94c567064705fa65267dd83946bf183197de | [
"MIT"
] | 87 | 2020-05-09T08:56:55.000Z | 2022-03-31T14:46:45.000Z | mlprogram/languages/c/__init__.py | HiroakiMikami/NL2Prog | 573e94c567064705fa65267dd83946bf183197de | [
"MIT"
] | 3 | 2021-02-22T20:38:29.000Z | 2021-11-11T18:48:44.000Z | from mlprogram.languages.c.analyzer import Analyzer # noqa
from mlprogram.languages.c.lexer import Lexer # noqa
from mlprogram.languages.c.typo_mutator import TypoMutator # noqa | 60 | 66 | 0.822222 | 25 | 180 | 5.88 | 0.44 | 0.265306 | 0.44898 | 0.469388 | 0.367347 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.111111 | 180 | 3 | 66 | 60 | 0.91875 | 0.077778 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 7 |
2c3d29e8d0c2f2bf30a8418243c7a6486c8a4537 | 126,917 | py | Python | infoblox_netmri/api/broker/v3_6_0/device_support_worksheet_broker.py | IngmarVG-IB/infoblox-netmri | b0c725fd64aee1890d83917d911b89236207e564 | [
"Apache-2.0"
] | null | null | null | infoblox_netmri/api/broker/v3_6_0/device_support_worksheet_broker.py | IngmarVG-IB/infoblox-netmri | b0c725fd64aee1890d83917d911b89236207e564 | [
"Apache-2.0"
] | null | null | null | infoblox_netmri/api/broker/v3_6_0/device_support_worksheet_broker.py | IngmarVG-IB/infoblox-netmri | b0c725fd64aee1890d83917d911b89236207e564 | [
"Apache-2.0"
] | null | null | null | from ..broker import Broker
class DeviceSupportWorksheetBroker(Broker):
controller = "device_support_worksheets"
def index(self, **kwargs):
"""Lists the available device support worksheets. Any of the inputs listed may be be used to narrow the list; other inputs will be ignored. Of the various ways to query lists, using this method is most efficient.
**Inputs**
| ``api version min:`` 2.9
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param id: The internal system identifier of the associated device support request worksheet.
:type id: Array of Integer
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` 0
:param start: The record number to return in the selected page of data. It will always appear, although it may not be the first record. See the :limit for more information.
:type start: Integer
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` 1000
:param limit: The size of the page of data, that is, the maximum number of records returned. The limit size will be used to break the data up into pages and the first page with the start record will be returned. So if you have 100 records and use a :limit of 10 and a :start of 10, you will get records 10-19. The maximum limit is 10000.
:type limit: Integer
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` id
:param sort: The data field(s) to use for sorting the output. Default is id. Valid values are id, device_id, device_ip_dotted, netmri_version, license_id, license_type, license_expiration, device_vendor, device_model, os_version, device_type, discovery_diagnostic_collected_ind, snmp_data_collected_ind, cli_session_collected_ind, priv_mode_info, syslogs_collected_ind, admin_guide_collected_ind, access_to_device, access_to_device_other, created_at, updated_at, user_in_device_type, user_in_device_vendor, user_in_device_model, user_in_os_version, user_in_device_capabilities, snmp_version, snmp_community_string, snmp_port, snmp_auth_username, snmp_auth_password, snmp_auth_protocol, snmp_privacy_password, snmp_privacy_protocol, preferred_cli, cli_username, cli_password, secure_version, package_name, device_discovered_ind, delivery_method, unit_id, status, step_number, delivery_addl_email, manual_data_entry_ind, status_msg, virtual_network_id, contact_method, customer_name, contact_name, contact_value.
:type sort: Array of String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` asc
:param dir: The direction(s) in which to sort the data. Default is 'asc'. Valid values are 'asc' and 'desc'.
:type dir: Array of String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param select: The list of attributes to return for each DeviceSupportWorksheet. Valid values are id, device_id, device_ip_dotted, netmri_version, license_id, license_type, license_expiration, device_vendor, device_model, os_version, device_type, discovery_diagnostic_collected_ind, snmp_data_collected_ind, cli_session_collected_ind, priv_mode_info, syslogs_collected_ind, admin_guide_collected_ind, access_to_device, access_to_device_other, created_at, updated_at, user_in_device_type, user_in_device_vendor, user_in_device_model, user_in_os_version, user_in_device_capabilities, snmp_version, snmp_community_string, snmp_port, snmp_auth_username, snmp_auth_password, snmp_auth_protocol, snmp_privacy_password, snmp_privacy_protocol, preferred_cli, cli_username, cli_password, secure_version, package_name, device_discovered_ind, delivery_method, unit_id, status, step_number, delivery_addl_email, manual_data_entry_ind, status_msg, virtual_network_id, contact_method, customer_name, contact_name, contact_value. If empty or omitted, all attributes will be returned.
:type select: Array
| ``api version min:`` 2.8
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param goto_field: The field name for NIOS GOTO that is used for locating a row position of records.
:type goto_field: String
| ``api version min:`` 2.8
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param goto_value: The value of goto_field for NIOS GOTO that is used for locating a row position of records.
:type goto_value: String
**Outputs**
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:return device_support_worksheets: An array of the DeviceSupportWorksheet objects that match the specified input criteria.
:rtype device_support_worksheets: Array of DeviceSupportWorksheet
"""
return self.api_list_request(self._get_method_fullname("index"), kwargs)
def search(self, **kwargs):
"""Lists the available device support worksheets matching the input criteria. This method provides a more flexible search interface than the index method, but searching using this method is more demanding on the system and will not perform to the same level as the index method. The input fields listed below will be used as in the index method, to filter the result, along with the optional query string and XML filter described below.
**Inputs**
| ``api version min:`` 2.9
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param access_to_device: Information about how Infoblox will access the device for site testing.
:type access_to_device: Array of String
| ``api version min:`` 2.9
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param access_to_device_other: Other information about how Infoblox will access the device.
:type access_to_device_other: Array of String
| ``api version min:`` 2.9
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param admin_guide_collected_ind: Flag indicating that the admin guide was collected.
:type admin_guide_collected_ind: Array of Boolean
| ``api version min:`` 2.9
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param cli_password: The CLI Password of the device.
:type cli_password: Array of String
| ``api version min:`` 2.9
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param cli_session_collected_ind: Flag indicating that CLI data was collected.
:type cli_session_collected_ind: Array of Boolean
| ``api version min:`` 2.9
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param cli_username: The CLI Username of the device.
:type cli_username: Array of String
| ``api version min:`` 2.9
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param contact_method: How the customer should be contacted (valid values are 'Email' and 'Phone').
:type contact_method: Array of String
| ``api version min:`` 2.9
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param contact_name: A name of a person to contact.
:type contact_name: Array of String
| ``api version min:`` 2.9
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param contact_value: E-mail address or phone that can be used to contact the customer.
:type contact_value: Array of String
| ``api version min:`` 2.9
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param created_at: The date and time the record was initially created in the system.
:type created_at: Array of DateTime
| ``api version min:`` 2.9
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param customer_name: Customer name.
:type customer_name: Array of String
| ``api version min:`` 2.9
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param delivery_addl_email: Additional email addresses to which the device support data bundle is sent.
:type delivery_addl_email: Array of String
| ``api version min:`` 2.9
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param delivery_method: The method of delivery (sftp, email, or download) for the device support data bundle.
:type delivery_method: Array of String
| ``api version min:`` 2.9
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param device_discovered_ind: A flag indicating that the device has been discovered by the system.
:type device_discovered_ind: Array of Boolean
| ``api version min:`` 2.9
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param device_id: The internal system identifier of the associated device.
:type device_id: Array of Integer
| ``api version min:`` 2.9
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param device_ip_dotted: The IP address of the associated device.
:type device_ip_dotted: Array of String
| ``api version min:`` 2.9
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param device_model: The device model of the associated device as determined by the system.
:type device_model: Array of String
| ``api version min:`` 2.9
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param device_type: The device type of the associated device as determined by system.
:type device_type: Array of String
| ``api version min:`` 2.9
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param device_vendor: The vendor of the associated device as determined by the system.
:type device_vendor: Array of String
| ``api version min:`` 2.9
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param discovery_diagnostic_collected_ind: Flag indicating that discovery diagnostics were collected.
:type discovery_diagnostic_collected_ind: Array of Boolean
| ``api version min:`` 2.9
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param id: The internal system identifier of the associated device support request worksheet.
:type id: Array of Integer
| ``api version min:`` 2.9
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param license_expiration: The expiration of the NetMRI license
:type license_expiration: Array of String
| ``api version min:`` 2.9
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param license_id: The NetMRI license identifier.
:type license_id: Array of String
| ``api version min:`` 2.9
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param license_type: The NetMRI license type.
:type license_type: Array of String
| ``api version min:`` 2.9
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param manual_data_entry_ind: Flag indicating that device data is being collected in manual mode.
:type manual_data_entry_ind: Array of Boolean
| ``api version min:`` 2.9
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param netmri_version: The NetMRI version.
:type netmri_version: Array of String
| ``api version min:`` 2.9
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param os_version: The OS version of the associated device as determined by the system.
:type os_version: Array of String
| ``api version min:`` 2.9
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param package_name: The name of the compressed, encrypted device support data package.
:type package_name: Array of String
| ``api version min:`` 2.9
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param preferred_cli: The preferred CLI method (SSH, Telnet, or Other).
:type preferred_cli: Array of String
| ``api version min:`` 2.9
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param priv_mode_info: Privileged mode information.
:type priv_mode_info: Array of String
| ``api version min:`` 2.9
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param secure_version: The encryption secure version of the credentials.
:type secure_version: Array of Integer
| ``api version min:`` 2.9
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param snmp_auth_password: The SNMP authorized password of the device (SNMPv3 only).
:type snmp_auth_password: Array of String
| ``api version min:`` 2.9
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param snmp_auth_protocol: The SNMP authorized protocol of the device (SNMPv3 only).
:type snmp_auth_protocol: Array of String
| ``api version min:`` 2.9
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param snmp_auth_username: The SNMP authorized username of the device (SNMPv3 only).
:type snmp_auth_username: Array of String
| ``api version min:`` 2.9
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param snmp_community_string: The SNMP community string of the device.
:type snmp_community_string: Array of String
| ``api version min:`` 2.9
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param snmp_data_collected_ind: Flag indicating that SNMP data was collected.
:type snmp_data_collected_ind: Array of Boolean
| ``api version min:`` 2.9
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param snmp_port: The SNMP port of the device.
:type snmp_port: Array of Integer
| ``api version min:`` 2.9
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param snmp_privacy_password: The SNMP privacy password of the device (SNMPv3 only).
:type snmp_privacy_password: Array of String
| ``api version min:`` 2.9
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param snmp_privacy_protocol: The SNMP privacy protocol of the device (SNMPv3 only).
:type snmp_privacy_protocol: Array of String
| ``api version min:`` 2.9
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param snmp_version: The SNMP version of the device (SNMPv1, SNMPv2, or SNMPv3).
:type snmp_version: Array of String
| ``api version min:`` 2.9
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param status: The overall status of the device support request worksheet.
:type status: Array of String
| ``api version min:`` 2.9
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param status_msg: Error message associated with worksheet status. Currently, only contain error messages for "Transfer Failed" status.
:type status_msg: Array of String
| ``api version min:`` 2.9
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param step_number: The last step which the worksheet was saved at.
:type step_number: Array of Integer
| ``api version min:`` 2.9
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param syslogs_collected_ind: Flag indicating that the syslogs were collected.
:type syslogs_collected_ind: Array of Boolean
| ``api version min:`` 2.9
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param unit_id: The internal identifier for the collector that is used to collect the device support data. Used in an OC only.
:type unit_id: Array of Integer
| ``api version min:`` 2.9
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param updated_at: The date and time the record was last modified in the system.
:type updated_at: Array of DateTime
| ``api version min:`` 2.9
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param user_in_device_capabilities: The device capabilities as determined by the user.
:type user_in_device_capabilities: Array of String
| ``api version min:`` 2.9
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param user_in_device_model: The device model as determined by the user.
:type user_in_device_model: Array of String
| ``api version min:`` 2.9
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param user_in_device_type: The device type as determined by the user.
:type user_in_device_type: Array of String
| ``api version min:`` 2.9
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param user_in_device_vendor: The device vendor as determined by the user.
:type user_in_device_vendor: Array of String
| ``api version min:`` 2.9
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param user_in_os_version: The os version as determined by the user.
:type user_in_os_version: Array of String
| ``api version min:`` 2.9
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param virtual_network_id: The internal identifier for the network which the device is associated to.
:type virtual_network_id: Array of Integer
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` 0
:param start: The record number to return in the selected page of data. It will always appear, although it may not be the first record. See the :limit for more information.
:type start: Integer
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` 1000
:param limit: The size of the page of data, that is, the maximum number of records returned. The limit size will be used to break the data up into pages and the first page with the start record will be returned. So if you have 100 records and use a :limit of 10 and a :start of 10, you will get records 10-19. The maximum limit is 10000.
:type limit: Integer
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` id
:param sort: The data field(s) to use for sorting the output. Default is id. Valid values are id, device_id, device_ip_dotted, netmri_version, license_id, license_type, license_expiration, device_vendor, device_model, os_version, device_type, discovery_diagnostic_collected_ind, snmp_data_collected_ind, cli_session_collected_ind, priv_mode_info, syslogs_collected_ind, admin_guide_collected_ind, access_to_device, access_to_device_other, created_at, updated_at, user_in_device_type, user_in_device_vendor, user_in_device_model, user_in_os_version, user_in_device_capabilities, snmp_version, snmp_community_string, snmp_port, snmp_auth_username, snmp_auth_password, snmp_auth_protocol, snmp_privacy_password, snmp_privacy_protocol, preferred_cli, cli_username, cli_password, secure_version, package_name, device_discovered_ind, delivery_method, unit_id, status, step_number, delivery_addl_email, manual_data_entry_ind, status_msg, virtual_network_id, contact_method, customer_name, contact_name, contact_value.
:type sort: Array of String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` asc
:param dir: The direction(s) in which to sort the data. Default is 'asc'. Valid values are 'asc' and 'desc'.
:type dir: Array of String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param select: The list of attributes to return for each DeviceSupportWorksheet. Valid values are id, device_id, device_ip_dotted, netmri_version, license_id, license_type, license_expiration, device_vendor, device_model, os_version, device_type, discovery_diagnostic_collected_ind, snmp_data_collected_ind, cli_session_collected_ind, priv_mode_info, syslogs_collected_ind, admin_guide_collected_ind, access_to_device, access_to_device_other, created_at, updated_at, user_in_device_type, user_in_device_vendor, user_in_device_model, user_in_os_version, user_in_device_capabilities, snmp_version, snmp_community_string, snmp_port, snmp_auth_username, snmp_auth_password, snmp_auth_protocol, snmp_privacy_password, snmp_privacy_protocol, preferred_cli, cli_username, cli_password, secure_version, package_name, device_discovered_ind, delivery_method, unit_id, status, step_number, delivery_addl_email, manual_data_entry_ind, status_msg, virtual_network_id, contact_method, customer_name, contact_name, contact_value. If empty or omitted, all attributes will be returned.
:type select: Array
| ``api version min:`` 2.8
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param goto_field: The field name for NIOS GOTO that is used for locating a row position of records.
:type goto_field: String
| ``api version min:`` 2.8
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param goto_value: The value of goto_field for NIOS GOTO that is used for locating a row position of records.
:type goto_value: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param query: This value will be matched against device support worksheets, looking to see if one or more of the listed attributes contain the passed value. You may also surround the value with '/' and '/' to perform a regular expression search rather than a containment operation. Any record that matches will be returned. The attributes searched are: access_to_device, access_to_device_other, admin_guide_collected_ind, cli_password, cli_session_collected_ind, cli_username, contact_method, contact_name, contact_value, created_at, customer_name, delivery_addl_email, delivery_method, device_discovered_ind, device_id, device_ip_dotted, device_model, device_type, device_vendor, discovery_diagnostic_collected_ind, id, license_expiration, license_id, license_type, manual_data_entry_ind, netmri_version, os_version, package_name, preferred_cli, priv_mode_info, secure_version, snmp_auth_password, snmp_auth_protocol, snmp_auth_username, snmp_community_string, snmp_data_collected_ind, snmp_port, snmp_privacy_password, snmp_privacy_protocol, snmp_version, status, status_msg, step_number, syslogs_collected_ind, unit_id, updated_at, user_in_device_capabilities, user_in_device_model, user_in_device_type, user_in_device_vendor, user_in_os_version, virtual_network_id.
:type query: String
| ``api version min:`` 2.3
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param xml_filter: A SetFilter XML structure to further refine the search. The SetFilter will be applied AFTER any search query or field values, but before any limit options. The limit and pagination will be enforced after the filter. Remind that this kind of filter may be costly and inefficient if not associated with a database filtering.
:type xml_filter: String
**Outputs**
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:return device_support_worksheets: An array of the DeviceSupportWorksheet objects that match the specified input criteria.
:rtype device_support_worksheets: Array of DeviceSupportWorksheet
"""
return self.api_list_request(self._get_method_fullname("search"), kwargs)
def find(self, **kwargs):
"""Lists the available device support worksheets matching the input specification. This provides the most flexible search specification of all the query mechanisms, enabling searching using comparison operations other than equality. However, it is more complex to use and will not perform as efficiently as the index or search methods. In the input descriptions below, 'field names' refers to the following fields: access_to_device, access_to_device_other, admin_guide_collected_ind, cli_password, cli_session_collected_ind, cli_username, contact_method, contact_name, contact_value, created_at, customer_name, delivery_addl_email, delivery_method, device_discovered_ind, device_id, device_ip_dotted, device_model, device_type, device_vendor, discovery_diagnostic_collected_ind, id, license_expiration, license_id, license_type, manual_data_entry_ind, netmri_version, os_version, package_name, preferred_cli, priv_mode_info, secure_version, snmp_auth_password, snmp_auth_protocol, snmp_auth_username, snmp_community_string, snmp_data_collected_ind, snmp_port, snmp_privacy_password, snmp_privacy_protocol, snmp_version, status, status_msg, step_number, syslogs_collected_ind, unit_id, updated_at, user_in_device_capabilities, user_in_device_model, user_in_device_type, user_in_device_vendor, user_in_os_version, virtual_network_id.
**Inputs**
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_access_to_device: The operator to apply to the field access_to_device. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. access_to_device: Information about how Infoblox will access the device for site testing. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_access_to_device: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_access_to_device: If op_access_to_device is specified, the field named in this input will be compared to the value in access_to_device using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_access_to_device must be specified if op_access_to_device is specified.
:type val_f_access_to_device: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_access_to_device: If op_access_to_device is specified, this value will be compared to the value in access_to_device using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_access_to_device must be specified if op_access_to_device is specified.
:type val_c_access_to_device: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_access_to_device_other: The operator to apply to the field access_to_device_other. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. access_to_device_other: Other information about how Infoblox will access the device. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_access_to_device_other: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_access_to_device_other: If op_access_to_device_other is specified, the field named in this input will be compared to the value in access_to_device_other using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_access_to_device_other must be specified if op_access_to_device_other is specified.
:type val_f_access_to_device_other: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_access_to_device_other: If op_access_to_device_other is specified, this value will be compared to the value in access_to_device_other using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_access_to_device_other must be specified if op_access_to_device_other is specified.
:type val_c_access_to_device_other: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_admin_guide_collected_ind: The operator to apply to the field admin_guide_collected_ind. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. admin_guide_collected_ind: Flag indicating that the admin guide was collected. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_admin_guide_collected_ind: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_admin_guide_collected_ind: If op_admin_guide_collected_ind is specified, the field named in this input will be compared to the value in admin_guide_collected_ind using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_admin_guide_collected_ind must be specified if op_admin_guide_collected_ind is specified.
:type val_f_admin_guide_collected_ind: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_admin_guide_collected_ind: If op_admin_guide_collected_ind is specified, this value will be compared to the value in admin_guide_collected_ind using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_admin_guide_collected_ind must be specified if op_admin_guide_collected_ind is specified.
:type val_c_admin_guide_collected_ind: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_cli_password: The operator to apply to the field cli_password. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. cli_password: The CLI Password of the device. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_cli_password: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_cli_password: If op_cli_password is specified, the field named in this input will be compared to the value in cli_password using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_cli_password must be specified if op_cli_password is specified.
:type val_f_cli_password: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_cli_password: If op_cli_password is specified, this value will be compared to the value in cli_password using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_cli_password must be specified if op_cli_password is specified.
:type val_c_cli_password: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_cli_session_collected_ind: The operator to apply to the field cli_session_collected_ind. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. cli_session_collected_ind: Flag indicating that CLI data was collected. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_cli_session_collected_ind: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_cli_session_collected_ind: If op_cli_session_collected_ind is specified, the field named in this input will be compared to the value in cli_session_collected_ind using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_cli_session_collected_ind must be specified if op_cli_session_collected_ind is specified.
:type val_f_cli_session_collected_ind: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_cli_session_collected_ind: If op_cli_session_collected_ind is specified, this value will be compared to the value in cli_session_collected_ind using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_cli_session_collected_ind must be specified if op_cli_session_collected_ind is specified.
:type val_c_cli_session_collected_ind: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_cli_username: The operator to apply to the field cli_username. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. cli_username: The CLI Username of the device. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_cli_username: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_cli_username: If op_cli_username is specified, the field named in this input will be compared to the value in cli_username using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_cli_username must be specified if op_cli_username is specified.
:type val_f_cli_username: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_cli_username: If op_cli_username is specified, this value will be compared to the value in cli_username using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_cli_username must be specified if op_cli_username is specified.
:type val_c_cli_username: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_contact_method: The operator to apply to the field contact_method. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. contact_method: How the customer should be contacted (valid values are 'Email' and 'Phone'). For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_contact_method: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_contact_method: If op_contact_method is specified, the field named in this input will be compared to the value in contact_method using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_contact_method must be specified if op_contact_method is specified.
:type val_f_contact_method: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_contact_method: If op_contact_method is specified, this value will be compared to the value in contact_method using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_contact_method must be specified if op_contact_method is specified.
:type val_c_contact_method: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_contact_name: The operator to apply to the field contact_name. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. contact_name: A name of a person to contact. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_contact_name: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_contact_name: If op_contact_name is specified, the field named in this input will be compared to the value in contact_name using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_contact_name must be specified if op_contact_name is specified.
:type val_f_contact_name: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_contact_name: If op_contact_name is specified, this value will be compared to the value in contact_name using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_contact_name must be specified if op_contact_name is specified.
:type val_c_contact_name: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_contact_value: The operator to apply to the field contact_value. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. contact_value: E-mail address or phone that can be used to contact the customer. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_contact_value: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_contact_value: If op_contact_value is specified, the field named in this input will be compared to the value in contact_value using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_contact_value must be specified if op_contact_value is specified.
:type val_f_contact_value: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_contact_value: If op_contact_value is specified, this value will be compared to the value in contact_value using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_contact_value must be specified if op_contact_value is specified.
:type val_c_contact_value: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_created_at: The operator to apply to the field created_at. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. created_at: The date and time the record was initially created in the system. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_created_at: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_created_at: If op_created_at is specified, the field named in this input will be compared to the value in created_at using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_created_at must be specified if op_created_at is specified.
:type val_f_created_at: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_created_at: If op_created_at is specified, this value will be compared to the value in created_at using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_created_at must be specified if op_created_at is specified.
:type val_c_created_at: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_customer_name: The operator to apply to the field customer_name. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. customer_name: Customer name. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_customer_name: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_customer_name: If op_customer_name is specified, the field named in this input will be compared to the value in customer_name using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_customer_name must be specified if op_customer_name is specified.
:type val_f_customer_name: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_customer_name: If op_customer_name is specified, this value will be compared to the value in customer_name using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_customer_name must be specified if op_customer_name is specified.
:type val_c_customer_name: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_delivery_addl_email: The operator to apply to the field delivery_addl_email. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. delivery_addl_email: Additional email addresses to which the device support data bundle is sent. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_delivery_addl_email: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_delivery_addl_email: If op_delivery_addl_email is specified, the field named in this input will be compared to the value in delivery_addl_email using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_delivery_addl_email must be specified if op_delivery_addl_email is specified.
:type val_f_delivery_addl_email: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_delivery_addl_email: If op_delivery_addl_email is specified, this value will be compared to the value in delivery_addl_email using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_delivery_addl_email must be specified if op_delivery_addl_email is specified.
:type val_c_delivery_addl_email: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_delivery_method: The operator to apply to the field delivery_method. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. delivery_method: The method of delivery (sftp, email, or download) for the device support data bundle. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_delivery_method: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_delivery_method: If op_delivery_method is specified, the field named in this input will be compared to the value in delivery_method using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_delivery_method must be specified if op_delivery_method is specified.
:type val_f_delivery_method: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_delivery_method: If op_delivery_method is specified, this value will be compared to the value in delivery_method using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_delivery_method must be specified if op_delivery_method is specified.
:type val_c_delivery_method: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_device_discovered_ind: The operator to apply to the field device_discovered_ind. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. device_discovered_ind: A flag indicating that the device has been discovered by the system. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_device_discovered_ind: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_device_discovered_ind: If op_device_discovered_ind is specified, the field named in this input will be compared to the value in device_discovered_ind using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_device_discovered_ind must be specified if op_device_discovered_ind is specified.
:type val_f_device_discovered_ind: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_device_discovered_ind: If op_device_discovered_ind is specified, this value will be compared to the value in device_discovered_ind using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_device_discovered_ind must be specified if op_device_discovered_ind is specified.
:type val_c_device_discovered_ind: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_device_id: The operator to apply to the field device_id. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. device_id: The internal system identifier of the associated device. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_device_id: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_device_id: If op_device_id is specified, the field named in this input will be compared to the value in device_id using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_device_id must be specified if op_device_id is specified.
:type val_f_device_id: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_device_id: If op_device_id is specified, this value will be compared to the value in device_id using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_device_id must be specified if op_device_id is specified.
:type val_c_device_id: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_device_ip_dotted: The operator to apply to the field device_ip_dotted. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. device_ip_dotted: The IP address of the associated device. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_device_ip_dotted: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_device_ip_dotted: If op_device_ip_dotted is specified, the field named in this input will be compared to the value in device_ip_dotted using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_device_ip_dotted must be specified if op_device_ip_dotted is specified.
:type val_f_device_ip_dotted: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_device_ip_dotted: If op_device_ip_dotted is specified, this value will be compared to the value in device_ip_dotted using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_device_ip_dotted must be specified if op_device_ip_dotted is specified.
:type val_c_device_ip_dotted: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_device_model: The operator to apply to the field device_model. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. device_model: The device model of the associated device as determined by the system. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_device_model: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_device_model: If op_device_model is specified, the field named in this input will be compared to the value in device_model using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_device_model must be specified if op_device_model is specified.
:type val_f_device_model: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_device_model: If op_device_model is specified, this value will be compared to the value in device_model using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_device_model must be specified if op_device_model is specified.
:type val_c_device_model: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_device_type: The operator to apply to the field device_type. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. device_type: The device type of the associated device as determined by system. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_device_type: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_device_type: If op_device_type is specified, the field named in this input will be compared to the value in device_type using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_device_type must be specified if op_device_type is specified.
:type val_f_device_type: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_device_type: If op_device_type is specified, this value will be compared to the value in device_type using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_device_type must be specified if op_device_type is specified.
:type val_c_device_type: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_device_vendor: The operator to apply to the field device_vendor. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. device_vendor: The vendor of the associated device as determined by the system. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_device_vendor: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_device_vendor: If op_device_vendor is specified, the field named in this input will be compared to the value in device_vendor using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_device_vendor must be specified if op_device_vendor is specified.
:type val_f_device_vendor: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_device_vendor: If op_device_vendor is specified, this value will be compared to the value in device_vendor using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_device_vendor must be specified if op_device_vendor is specified.
:type val_c_device_vendor: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_discovery_diagnostic_collected_ind: The operator to apply to the field discovery_diagnostic_collected_ind. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. discovery_diagnostic_collected_ind: Flag indicating that discovery diagnostics were collected. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_discovery_diagnostic_collected_ind: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_discovery_diagnostic_collected_ind: If op_discovery_diagnostic_collected_ind is specified, the field named in this input will be compared to the value in discovery_diagnostic_collected_ind using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_discovery_diagnostic_collected_ind must be specified if op_discovery_diagnostic_collected_ind is specified.
:type val_f_discovery_diagnostic_collected_ind: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_discovery_diagnostic_collected_ind: If op_discovery_diagnostic_collected_ind is specified, this value will be compared to the value in discovery_diagnostic_collected_ind using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_discovery_diagnostic_collected_ind must be specified if op_discovery_diagnostic_collected_ind is specified.
:type val_c_discovery_diagnostic_collected_ind: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_id: The operator to apply to the field id. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. id: The internal system identifier of the associated device support request worksheet. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_id: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_id: If op_id is specified, the field named in this input will be compared to the value in id using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_id must be specified if op_id is specified.
:type val_f_id: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_id: If op_id is specified, this value will be compared to the value in id using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_id must be specified if op_id is specified.
:type val_c_id: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_license_expiration: The operator to apply to the field license_expiration. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. license_expiration: The expiration of the NetMRI license For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_license_expiration: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_license_expiration: If op_license_expiration is specified, the field named in this input will be compared to the value in license_expiration using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_license_expiration must be specified if op_license_expiration is specified.
:type val_f_license_expiration: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_license_expiration: If op_license_expiration is specified, this value will be compared to the value in license_expiration using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_license_expiration must be specified if op_license_expiration is specified.
:type val_c_license_expiration: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_license_id: The operator to apply to the field license_id. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. license_id: The NetMRI license identifier. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_license_id: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_license_id: If op_license_id is specified, the field named in this input will be compared to the value in license_id using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_license_id must be specified if op_license_id is specified.
:type val_f_license_id: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_license_id: If op_license_id is specified, this value will be compared to the value in license_id using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_license_id must be specified if op_license_id is specified.
:type val_c_license_id: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_license_type: The operator to apply to the field license_type. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. license_type: The NetMRI license type. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_license_type: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_license_type: If op_license_type is specified, the field named in this input will be compared to the value in license_type using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_license_type must be specified if op_license_type is specified.
:type val_f_license_type: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_license_type: If op_license_type is specified, this value will be compared to the value in license_type using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_license_type must be specified if op_license_type is specified.
:type val_c_license_type: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_manual_data_entry_ind: The operator to apply to the field manual_data_entry_ind. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. manual_data_entry_ind: Flag indicating that device data is being collected in manual mode. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_manual_data_entry_ind: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_manual_data_entry_ind: If op_manual_data_entry_ind is specified, the field named in this input will be compared to the value in manual_data_entry_ind using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_manual_data_entry_ind must be specified if op_manual_data_entry_ind is specified.
:type val_f_manual_data_entry_ind: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_manual_data_entry_ind: If op_manual_data_entry_ind is specified, this value will be compared to the value in manual_data_entry_ind using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_manual_data_entry_ind must be specified if op_manual_data_entry_ind is specified.
:type val_c_manual_data_entry_ind: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_netmri_version: The operator to apply to the field netmri_version. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. netmri_version: The NetMRI version. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_netmri_version: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_netmri_version: If op_netmri_version is specified, the field named in this input will be compared to the value in netmri_version using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_netmri_version must be specified if op_netmri_version is specified.
:type val_f_netmri_version: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_netmri_version: If op_netmri_version is specified, this value will be compared to the value in netmri_version using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_netmri_version must be specified if op_netmri_version is specified.
:type val_c_netmri_version: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_os_version: The operator to apply to the field os_version. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. os_version: The OS version of the associated device as determined by the system. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_os_version: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_os_version: If op_os_version is specified, the field named in this input will be compared to the value in os_version using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_os_version must be specified if op_os_version is specified.
:type val_f_os_version: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_os_version: If op_os_version is specified, this value will be compared to the value in os_version using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_os_version must be specified if op_os_version is specified.
:type val_c_os_version: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_package_name: The operator to apply to the field package_name. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. package_name: The name of the compressed, encrypted device support data package. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_package_name: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_package_name: If op_package_name is specified, the field named in this input will be compared to the value in package_name using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_package_name must be specified if op_package_name is specified.
:type val_f_package_name: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_package_name: If op_package_name is specified, this value will be compared to the value in package_name using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_package_name must be specified if op_package_name is specified.
:type val_c_package_name: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_preferred_cli: The operator to apply to the field preferred_cli. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. preferred_cli: The preferred CLI method (SSH, Telnet, or Other). For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_preferred_cli: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_preferred_cli: If op_preferred_cli is specified, the field named in this input will be compared to the value in preferred_cli using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_preferred_cli must be specified if op_preferred_cli is specified.
:type val_f_preferred_cli: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_preferred_cli: If op_preferred_cli is specified, this value will be compared to the value in preferred_cli using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_preferred_cli must be specified if op_preferred_cli is specified.
:type val_c_preferred_cli: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_priv_mode_info: The operator to apply to the field priv_mode_info. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. priv_mode_info: Privileged mode information. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_priv_mode_info: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_priv_mode_info: If op_priv_mode_info is specified, the field named in this input will be compared to the value in priv_mode_info using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_priv_mode_info must be specified if op_priv_mode_info is specified.
:type val_f_priv_mode_info: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_priv_mode_info: If op_priv_mode_info is specified, this value will be compared to the value in priv_mode_info using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_priv_mode_info must be specified if op_priv_mode_info is specified.
:type val_c_priv_mode_info: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_secure_version: The operator to apply to the field secure_version. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. secure_version: The encryption secure version of the credentials. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_secure_version: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_secure_version: If op_secure_version is specified, the field named in this input will be compared to the value in secure_version using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_secure_version must be specified if op_secure_version is specified.
:type val_f_secure_version: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_secure_version: If op_secure_version is specified, this value will be compared to the value in secure_version using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_secure_version must be specified if op_secure_version is specified.
:type val_c_secure_version: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_snmp_auth_password: The operator to apply to the field snmp_auth_password. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. snmp_auth_password: The SNMP authorized password of the device (SNMPv3 only). For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_snmp_auth_password: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_snmp_auth_password: If op_snmp_auth_password is specified, the field named in this input will be compared to the value in snmp_auth_password using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_snmp_auth_password must be specified if op_snmp_auth_password is specified.
:type val_f_snmp_auth_password: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_snmp_auth_password: If op_snmp_auth_password is specified, this value will be compared to the value in snmp_auth_password using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_snmp_auth_password must be specified if op_snmp_auth_password is specified.
:type val_c_snmp_auth_password: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_snmp_auth_protocol: The operator to apply to the field snmp_auth_protocol. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. snmp_auth_protocol: The SNMP authorized protocol of the device (SNMPv3 only). For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_snmp_auth_protocol: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_snmp_auth_protocol: If op_snmp_auth_protocol is specified, the field named in this input will be compared to the value in snmp_auth_protocol using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_snmp_auth_protocol must be specified if op_snmp_auth_protocol is specified.
:type val_f_snmp_auth_protocol: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_snmp_auth_protocol: If op_snmp_auth_protocol is specified, this value will be compared to the value in snmp_auth_protocol using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_snmp_auth_protocol must be specified if op_snmp_auth_protocol is specified.
:type val_c_snmp_auth_protocol: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_snmp_auth_username: The operator to apply to the field snmp_auth_username. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. snmp_auth_username: The SNMP authorized username of the device (SNMPv3 only). For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_snmp_auth_username: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_snmp_auth_username: If op_snmp_auth_username is specified, the field named in this input will be compared to the value in snmp_auth_username using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_snmp_auth_username must be specified if op_snmp_auth_username is specified.
:type val_f_snmp_auth_username: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_snmp_auth_username: If op_snmp_auth_username is specified, this value will be compared to the value in snmp_auth_username using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_snmp_auth_username must be specified if op_snmp_auth_username is specified.
:type val_c_snmp_auth_username: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_snmp_community_string: The operator to apply to the field snmp_community_string. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. snmp_community_string: The SNMP community string of the device. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_snmp_community_string: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_snmp_community_string: If op_snmp_community_string is specified, the field named in this input will be compared to the value in snmp_community_string using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_snmp_community_string must be specified if op_snmp_community_string is specified.
:type val_f_snmp_community_string: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_snmp_community_string: If op_snmp_community_string is specified, this value will be compared to the value in snmp_community_string using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_snmp_community_string must be specified if op_snmp_community_string is specified.
:type val_c_snmp_community_string: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_snmp_data_collected_ind: The operator to apply to the field snmp_data_collected_ind. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. snmp_data_collected_ind: Flag indicating that SNMP data was collected. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_snmp_data_collected_ind: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_snmp_data_collected_ind: If op_snmp_data_collected_ind is specified, the field named in this input will be compared to the value in snmp_data_collected_ind using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_snmp_data_collected_ind must be specified if op_snmp_data_collected_ind is specified.
:type val_f_snmp_data_collected_ind: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_snmp_data_collected_ind: If op_snmp_data_collected_ind is specified, this value will be compared to the value in snmp_data_collected_ind using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_snmp_data_collected_ind must be specified if op_snmp_data_collected_ind is specified.
:type val_c_snmp_data_collected_ind: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_snmp_port: The operator to apply to the field snmp_port. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. snmp_port: The SNMP port of the device. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_snmp_port: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_snmp_port: If op_snmp_port is specified, the field named in this input will be compared to the value in snmp_port using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_snmp_port must be specified if op_snmp_port is specified.
:type val_f_snmp_port: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_snmp_port: If op_snmp_port is specified, this value will be compared to the value in snmp_port using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_snmp_port must be specified if op_snmp_port is specified.
:type val_c_snmp_port: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_snmp_privacy_password: The operator to apply to the field snmp_privacy_password. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. snmp_privacy_password: The SNMP privacy password of the device (SNMPv3 only). For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_snmp_privacy_password: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_snmp_privacy_password: If op_snmp_privacy_password is specified, the field named in this input will be compared to the value in snmp_privacy_password using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_snmp_privacy_password must be specified if op_snmp_privacy_password is specified.
:type val_f_snmp_privacy_password: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_snmp_privacy_password: If op_snmp_privacy_password is specified, this value will be compared to the value in snmp_privacy_password using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_snmp_privacy_password must be specified if op_snmp_privacy_password is specified.
:type val_c_snmp_privacy_password: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_snmp_privacy_protocol: The operator to apply to the field snmp_privacy_protocol. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. snmp_privacy_protocol: The SNMP privacy protocol of the device (SNMPv3 only). For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_snmp_privacy_protocol: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_snmp_privacy_protocol: If op_snmp_privacy_protocol is specified, the field named in this input will be compared to the value in snmp_privacy_protocol using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_snmp_privacy_protocol must be specified if op_snmp_privacy_protocol is specified.
:type val_f_snmp_privacy_protocol: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_snmp_privacy_protocol: If op_snmp_privacy_protocol is specified, this value will be compared to the value in snmp_privacy_protocol using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_snmp_privacy_protocol must be specified if op_snmp_privacy_protocol is specified.
:type val_c_snmp_privacy_protocol: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_snmp_version: The operator to apply to the field snmp_version. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. snmp_version: The SNMP version of the device (SNMPv1, SNMPv2, or SNMPv3). For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_snmp_version: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_snmp_version: If op_snmp_version is specified, the field named in this input will be compared to the value in snmp_version using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_snmp_version must be specified if op_snmp_version is specified.
:type val_f_snmp_version: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_snmp_version: If op_snmp_version is specified, this value will be compared to the value in snmp_version using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_snmp_version must be specified if op_snmp_version is specified.
:type val_c_snmp_version: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_status: The operator to apply to the field status. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. status: The overall status of the device support request worksheet. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_status: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_status: If op_status is specified, the field named in this input will be compared to the value in status using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_status must be specified if op_status is specified.
:type val_f_status: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_status: If op_status is specified, this value will be compared to the value in status using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_status must be specified if op_status is specified.
:type val_c_status: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_status_msg: The operator to apply to the field status_msg. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. status_msg: Error message associated with worksheet status. Currently, only contain error messages for "Transfer Failed" status. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_status_msg: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_status_msg: If op_status_msg is specified, the field named in this input will be compared to the value in status_msg using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_status_msg must be specified if op_status_msg is specified.
:type val_f_status_msg: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_status_msg: If op_status_msg is specified, this value will be compared to the value in status_msg using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_status_msg must be specified if op_status_msg is specified.
:type val_c_status_msg: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_step_number: The operator to apply to the field step_number. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. step_number: The last step which the worksheet was saved at. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_step_number: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_step_number: If op_step_number is specified, the field named in this input will be compared to the value in step_number using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_step_number must be specified if op_step_number is specified.
:type val_f_step_number: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_step_number: If op_step_number is specified, this value will be compared to the value in step_number using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_step_number must be specified if op_step_number is specified.
:type val_c_step_number: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_syslogs_collected_ind: The operator to apply to the field syslogs_collected_ind. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. syslogs_collected_ind: Flag indicating that the syslogs were collected. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_syslogs_collected_ind: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_syslogs_collected_ind: If op_syslogs_collected_ind is specified, the field named in this input will be compared to the value in syslogs_collected_ind using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_syslogs_collected_ind must be specified if op_syslogs_collected_ind is specified.
:type val_f_syslogs_collected_ind: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_syslogs_collected_ind: If op_syslogs_collected_ind is specified, this value will be compared to the value in syslogs_collected_ind using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_syslogs_collected_ind must be specified if op_syslogs_collected_ind is specified.
:type val_c_syslogs_collected_ind: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_unit_id: The operator to apply to the field unit_id. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. unit_id: The internal identifier for the collector that is used to collect the device support data. Used in an OC only. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_unit_id: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_unit_id: If op_unit_id is specified, the field named in this input will be compared to the value in unit_id using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_unit_id must be specified if op_unit_id is specified.
:type val_f_unit_id: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_unit_id: If op_unit_id is specified, this value will be compared to the value in unit_id using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_unit_id must be specified if op_unit_id is specified.
:type val_c_unit_id: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_updated_at: The operator to apply to the field updated_at. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. updated_at: The date and time the record was last modified in the system. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_updated_at: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_updated_at: If op_updated_at is specified, the field named in this input will be compared to the value in updated_at using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_updated_at must be specified if op_updated_at is specified.
:type val_f_updated_at: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_updated_at: If op_updated_at is specified, this value will be compared to the value in updated_at using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_updated_at must be specified if op_updated_at is specified.
:type val_c_updated_at: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_user_in_device_capabilities: The operator to apply to the field user_in_device_capabilities. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. user_in_device_capabilities: The device capabilities as determined by the user. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_user_in_device_capabilities: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_user_in_device_capabilities: If op_user_in_device_capabilities is specified, the field named in this input will be compared to the value in user_in_device_capabilities using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_user_in_device_capabilities must be specified if op_user_in_device_capabilities is specified.
:type val_f_user_in_device_capabilities: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_user_in_device_capabilities: If op_user_in_device_capabilities is specified, this value will be compared to the value in user_in_device_capabilities using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_user_in_device_capabilities must be specified if op_user_in_device_capabilities is specified.
:type val_c_user_in_device_capabilities: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_user_in_device_model: The operator to apply to the field user_in_device_model. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. user_in_device_model: The device model as determined by the user. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_user_in_device_model: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_user_in_device_model: If op_user_in_device_model is specified, the field named in this input will be compared to the value in user_in_device_model using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_user_in_device_model must be specified if op_user_in_device_model is specified.
:type val_f_user_in_device_model: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_user_in_device_model: If op_user_in_device_model is specified, this value will be compared to the value in user_in_device_model using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_user_in_device_model must be specified if op_user_in_device_model is specified.
:type val_c_user_in_device_model: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_user_in_device_type: The operator to apply to the field user_in_device_type. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. user_in_device_type: The device type as determined by the user. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_user_in_device_type: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_user_in_device_type: If op_user_in_device_type is specified, the field named in this input will be compared to the value in user_in_device_type using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_user_in_device_type must be specified if op_user_in_device_type is specified.
:type val_f_user_in_device_type: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_user_in_device_type: If op_user_in_device_type is specified, this value will be compared to the value in user_in_device_type using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_user_in_device_type must be specified if op_user_in_device_type is specified.
:type val_c_user_in_device_type: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_user_in_device_vendor: The operator to apply to the field user_in_device_vendor. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. user_in_device_vendor: The device vendor as determined by the user. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_user_in_device_vendor: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_user_in_device_vendor: If op_user_in_device_vendor is specified, the field named in this input will be compared to the value in user_in_device_vendor using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_user_in_device_vendor must be specified if op_user_in_device_vendor is specified.
:type val_f_user_in_device_vendor: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_user_in_device_vendor: If op_user_in_device_vendor is specified, this value will be compared to the value in user_in_device_vendor using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_user_in_device_vendor must be specified if op_user_in_device_vendor is specified.
:type val_c_user_in_device_vendor: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_user_in_os_version: The operator to apply to the field user_in_os_version. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. user_in_os_version: The os version as determined by the user. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_user_in_os_version: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_user_in_os_version: If op_user_in_os_version is specified, the field named in this input will be compared to the value in user_in_os_version using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_user_in_os_version must be specified if op_user_in_os_version is specified.
:type val_f_user_in_os_version: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_user_in_os_version: If op_user_in_os_version is specified, this value will be compared to the value in user_in_os_version using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_user_in_os_version must be specified if op_user_in_os_version is specified.
:type val_c_user_in_os_version: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_virtual_network_id: The operator to apply to the field virtual_network_id. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. virtual_network_id: The internal identifier for the network which the device is associated to. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_virtual_network_id: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_virtual_network_id: If op_virtual_network_id is specified, the field named in this input will be compared to the value in virtual_network_id using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_virtual_network_id must be specified if op_virtual_network_id is specified.
:type val_f_virtual_network_id: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_virtual_network_id: If op_virtual_network_id is specified, this value will be compared to the value in virtual_network_id using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_virtual_network_id must be specified if op_virtual_network_id is specified.
:type val_c_virtual_network_id: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` 0
:param start: The record number to return in the selected page of data. It will always appear, although it may not be the first record. See the :limit for more information.
:type start: Integer
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` 1000
:param limit: The size of the page of data, that is, the maximum number of records returned. The limit size will be used to break the data up into pages and the first page with the start record will be returned. So if you have 100 records and use a :limit of 10 and a :start of 10, you will get records 10-19. The maximum limit is 10000.
:type limit: Integer
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` id
:param sort: The data field(s) to use for sorting the output. Default is id. Valid values are id, device_id, device_ip_dotted, netmri_version, license_id, license_type, license_expiration, device_vendor, device_model, os_version, device_type, discovery_diagnostic_collected_ind, snmp_data_collected_ind, cli_session_collected_ind, priv_mode_info, syslogs_collected_ind, admin_guide_collected_ind, access_to_device, access_to_device_other, created_at, updated_at, user_in_device_type, user_in_device_vendor, user_in_device_model, user_in_os_version, user_in_device_capabilities, snmp_version, snmp_community_string, snmp_port, snmp_auth_username, snmp_auth_password, snmp_auth_protocol, snmp_privacy_password, snmp_privacy_protocol, preferred_cli, cli_username, cli_password, secure_version, package_name, device_discovered_ind, delivery_method, unit_id, status, step_number, delivery_addl_email, manual_data_entry_ind, status_msg, virtual_network_id, contact_method, customer_name, contact_name, contact_value.
:type sort: Array of String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` asc
:param dir: The direction(s) in which to sort the data. Default is 'asc'. Valid values are 'asc' and 'desc'.
:type dir: Array of String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param select: The list of attributes to return for each DeviceSupportWorksheet. Valid values are id, device_id, device_ip_dotted, netmri_version, license_id, license_type, license_expiration, device_vendor, device_model, os_version, device_type, discovery_diagnostic_collected_ind, snmp_data_collected_ind, cli_session_collected_ind, priv_mode_info, syslogs_collected_ind, admin_guide_collected_ind, access_to_device, access_to_device_other, created_at, updated_at, user_in_device_type, user_in_device_vendor, user_in_device_model, user_in_os_version, user_in_device_capabilities, snmp_version, snmp_community_string, snmp_port, snmp_auth_username, snmp_auth_password, snmp_auth_protocol, snmp_privacy_password, snmp_privacy_protocol, preferred_cli, cli_username, cli_password, secure_version, package_name, device_discovered_ind, delivery_method, unit_id, status, step_number, delivery_addl_email, manual_data_entry_ind, status_msg, virtual_network_id, contact_method, customer_name, contact_name, contact_value. If empty or omitted, all attributes will be returned.
:type select: Array
| ``api version min:`` 2.8
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param goto_field: The field name for NIOS GOTO that is used for locating a row position of records.
:type goto_field: String
| ``api version min:`` 2.8
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param goto_value: The value of goto_field for NIOS GOTO that is used for locating a row position of records.
:type goto_value: String
| ``api version min:`` 2.3
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param xml_filter: A SetFilter XML structure to further refine the search. The SetFilter will be applied AFTER any search query or field values, but before any limit options. The limit and pagination will be enforced after the filter. Remind that this kind of filter may be costly and inefficient if not associated with a database filtering.
:type xml_filter: String
**Outputs**
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:return device_support_worksheets: An array of the DeviceSupportWorksheet objects that match the specified input criteria.
:rtype device_support_worksheets: Array of DeviceSupportWorksheet
"""
return self.api_list_request(self._get_method_fullname("find"), kwargs)
def show(self, **kwargs):
"""Shows the details for the specified device support worksheet.
**Inputs**
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` True
| ``default:`` None
:param id: The internal system identifier of the associated device support request worksheet.
:type id: Integer
**Outputs**
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:return device_support_worksheet: The device support worksheet identified by the specified id.
:rtype device_support_worksheet: DeviceSupportWorksheet
"""
return self.api_request(self._get_method_fullname("show"), kwargs)
| 64.588804 | 1,339 | 0.650543 | 17,441 | 126,917 | 4.55037 | 0.019838 | 0.059978 | 0.038985 | 0.050981 | 0.97175 | 0.9686 | 0.964996 | 0.96356 | 0.934894 | 0.924537 | 0 | 0.002183 | 0.274494 | 126,917 | 1,965 | 1,340 | 64.588804 | 0.859718 | 0.85786 | 0 | 0 | 0 | 0 | 0.060109 | 0.034153 | 0 | 0 | 0 | 0 | 0 | 1 | 0.363636 | false | 0 | 0.090909 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 10 |
1a405417db5157c8b4acdd77fa711674a6683a77 | 11,504 | py | Python | ipm_library/test/test_ipm.py | ijnek/ipm | dee4f2ac99f5d24bd0d2a8c9ff7c748b74727a2f | [
"Apache-2.0"
] | 3 | 2022-03-04T15:06:16.000Z | 2022-03-15T04:00:18.000Z | ipm_library/test/test_ipm.py | ijnek/ipm | dee4f2ac99f5d24bd0d2a8c9ff7c748b74727a2f | [
"Apache-2.0"
] | 4 | 2022-03-04T13:52:57.000Z | 2022-03-27T00:59:08.000Z | ipm_library/test/test_ipm.py | ijnek/ipm | dee4f2ac99f5d24bd0d2a8c9ff7c748b74727a2f | [
"Apache-2.0"
] | 2 | 2022-03-04T10:19:35.000Z | 2022-03-15T01:05:00.000Z | # Copyright (c) 2022 Hamburg Bit-Bots
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from geometry_msgs.msg import TransformStamped
from ipm_library.exceptions import NoIntersectionError
from ipm_library.ipm import IPM
from ipm_msgs.msg import PlaneStamped
import numpy as np
import pytest
from sensor_msgs.msg import CameraInfo
from std_msgs.msg import Header
from tf2_geometry_msgs import PointStamped
import tf2_ros as tf2
def test_ipm_camera_info():
"""Test if the camera info is handled correctly."""
# We need to create a dummy tf buffer
tf_buffer = tf2.Buffer()
# Dummy camera info
cam = CameraInfo()
# Create an IPM
ipm1 = IPM(tf_buffer, cam)
assert ipm1.camera_info_received(), 'Failed to set camera info in constructor'
# Create another IPM without the CameraInfo
ipm2 = IPM(tf_buffer)
assert not ipm2.camera_info_received(), 'Missing camera info not recognized'
# Set camera info
ipm2.set_camera_info(cam)
assert ipm1.camera_info_received(), 'Failed to set camera info'
# Set another camera info
ipm2.set_camera_info(CameraInfo(header=Header(frame_id='test')))
assert ipm2._camera_info != cam, 'Camera info not updated'
def test_ipm_project_point_no_transform():
"""Project PointStamped without doing any tf transforms."""
# We need to create a dummy tf buffer
tf_buffer = tf2.Buffer()
# Dummy camera info
cam = CameraInfo(
header=Header(
frame_id='camera_optical_frame',
),
width=2048,
height=1536,
binning_x=4,
binning_y=4,
k=[1338.64532, 0., 1026.12387, 0., 1337.89746, 748.42213, 0., 0., 1.])
# Create an IPM
ipm = IPM(tf_buffer, cam)
# Create Plane in the same frame as our camera with 1m distance facing the camera
plane = PlaneStamped()
plane.header.frame_id = 'camera_optical_frame'
plane.plane.coef[2] = 1.0 # Normal in z direction
plane.plane.coef[3] = 1.0 # 1 meter distance
# Create PointStamped with the center pixel of the camera
point = PointStamped()
point.header = cam.header
point.point.x = float(cam.width // cam.binning_x // 2)
point.point.y = float(cam.height // cam.binning_y // 2)
# Project points
projected_point = ipm.project_point(plane, point)
# Check header
assert projected_point.header == cam.header, 'Point header do not match'
# Make goal point array, x and y are not exactly 0 because of the camera calibration as
# well as an uneven amount of pixels
goal_point_array = np.array([-0.0015865, 0.014633, 1])
# Convert projected point to array
projected_point_array = np.array([
projected_point.point.x,
projected_point.point.y,
projected_point.point.z,
])
assert np.allclose(goal_point_array, projected_point_array, rtol=0.0001), \
'Projected point differs too much'
def test_ipm_project_points_no_transform():
"""Project points from NumPy array without doing any tf transforms."""
# We need to create a dummy tf buffer
tf_buffer = tf2.Buffer()
# Dummy camera info
cam = CameraInfo(
header=Header(
frame_id='camera_optical_frame',
),
width=2048,
height=1536,
binning_x=4,
binning_y=4,
k=[1338.64532, 0., 1026.12387, 0., 1337.89746, 748.42213, 0., 0., 1.])
# Create an IPM
ipm = IPM(tf_buffer, cam)
# Create Plane in the same frame as our camera with 1m distance facing the camera
plane = PlaneStamped()
plane.header.frame_id = 'camera_optical_frame'
plane.plane.coef[2] = 1.0 # Normal in z direction
plane.plane.coef[3] = 1.0 # 1 meter distance
# Create two Points on the center pixel of the camera
points = np.array([
# Center
[float(cam.width // cam.binning_x // 2),
float(cam.height // cam.binning_y // 2), 0],
# Diagonal Corners
[float(cam.width // cam.binning_x),
float(cam.height // cam.binning_y), 0],
[0, 0, 0]
])
# Project points
projected_points = ipm.project_points(plane, points, cam.header)
# Make goal points array, x and y are not exactly 0 because of the camera calibration as
# well as an uneven amount of pixels
goal_point_array = np.array([
[-0.0015865, 0.014633, 1],
[0.7633658, 0.588668, 1],
[-0.7665390, -0.559401, 1]
])
assert np.allclose(goal_point_array, projected_points, rtol=0.0001), \
'Projected point differs too much'
def test_ipm_project_point_no_transform_no_intersection():
"""Impossible projection of PointStamped without doing any tf transforms."""
# We need to create a dummy tf buffer
tf_buffer = tf2.Buffer()
# Dummy camera info
cam = CameraInfo(
header=Header(
frame_id='camera_optical_frame',
),
width=2048,
height=1536,
binning_x=4,
binning_y=4,
k=[1338.64532, 0., 1026.12387, 0., 1337.89746, 748.42213, 0., 0., 1.])
# Create an IPM
ipm = IPM(tf_buffer, cam)
# Create Plane in the same frame as our camera but 1m behind it
plane = PlaneStamped()
plane.header.frame_id = 'camera_optical_frame'
plane.plane.coef[2] = 1.0 # Normal in z direction
plane.plane.coef[3] = -1.0 # 1 meter distance
# Create PointStamped with the center pixel of the camera
point = PointStamped()
point.header = cam.header
point.point.x = float(cam.width // cam.binning_x // 2)
point.point.y = float(cam.height // cam.binning_y // 2)
# Test if a NoIntersectionError is raised
with pytest.raises(NoIntersectionError):
# Project points
ipm.project_point(plane, point)
def test_ipm_project_points_no_transform_no_intersection():
"""Impossible projection of points from NumPy array without doing any tf transforms."""
# We need to create a dummy tf buffer
tf_buffer = tf2.Buffer()
# Dummy camera info
cam = CameraInfo(
header=Header(
frame_id='camera_optical_frame',
),
width=2048,
height=1536,
binning_x=4,
binning_y=4,
k=[1338.64532, 0., 1026.12387, 0., 1337.89746, 748.42213, 0., 0., 1.])
# Create an IPM
ipm = IPM(tf_buffer, cam)
# Create Plane in the same frame as our camera with 1m distance facing the camera
plane = PlaneStamped()
plane.header.frame_id = 'camera_optical_frame'
plane.plane.coef[2] = 1.0 # Normal in z direction
plane.plane.coef[3] = -1.0 # 1 meter distance
# Create two Points on the center pixel of the camera
points = np.array([
# Corner
[0, 0, 0]
])
# Project points
projected_points = ipm.project_points(plane, points, cam.header)
# Make goal points array, x and y are not exactly 0 because of the camera calibration as
# well as an uneven amount of pixels
goal_point_array = np.array([
[np.nan, np.nan, np.nan]
])
np.testing.assert_equal(
projected_points,
goal_point_array,
err_msg='Not all axes are none even tho the plane is invisible')
def test_ipm_project_point():
"""Project PointStamped without doing any tf transforms."""
# We need to create a dummy tf buffer
tf_buffer = tf2.Buffer()
transform = TransformStamped()
transform.header.frame_id = 'camera_optical_frame'
transform.child_frame_id = 'base_footprint'
transform.transform.rotation.w = 1.0
transform.transform.translation.z = 1.0
tf_buffer.set_transform_static(transform, '')
# Dummy camera info
cam = CameraInfo(
header=Header(
frame_id='camera_optical_frame',
),
width=2048,
height=1536,
binning_x=4,
binning_y=4,
k=[1338.64532, 0., 1026.12387, 0., 1337.89746, 748.42213, 0., 0., 1.])
# Create an IPM
ipm = IPM(tf_buffer, cam)
# Create Plane in the same frame as our camera with 1m distance facing the camera
plane = PlaneStamped()
plane.header.frame_id = 'base_footprint'
plane.plane.coef[2] = 1.0 # Normal in z direction
# Create PointStamped with the center pixel of the camera
point = PointStamped()
point.header = cam.header
point.point.x = float(cam.width // cam.binning_x // 2)
point.point.y = float(cam.height // cam.binning_y // 2)
# Project points
projected_point = ipm.project_point(
plane, point, output_frame=plane.header.frame_id)
# Check header
assert projected_point.header.frame_id == plane.header.frame_id, 'Point header do not match'
# Make goal point array, x and y are not exactly 0 because of the camera calibration as
# well as an uneven amount of pixels
goal_point_array = np.array([-0.0015865, 0.014633, 0])
# Convert projected point to array
projected_point_array = np.array([
projected_point.point.x,
projected_point.point.y,
projected_point.point.z,
])
assert np.allclose(goal_point_array, projected_point_array, rtol=0.0001), \
'Projected point differs too much'
def test_ipm_project_points():
"""Project project of points from NumPy array."""
# We need to create a dummy tf buffer
tf_buffer = tf2.Buffer()
transform = TransformStamped()
transform.header.frame_id = 'camera_optical_frame'
transform.child_frame_id = 'base_footprint'
transform.transform.rotation.w = 1.0
transform.transform.translation.z = 1.0
tf_buffer.set_transform_static(transform, '')
# Dummy camera info
cam = CameraInfo(
header=Header(
frame_id='camera_optical_frame',
),
width=2048,
height=1536,
binning_x=4,
binning_y=4,
k=[1338.64532, 0., 1026.12387, 0., 1337.89746, 748.42213, 0., 0., 1.])
# Create an IPM
ipm = IPM(tf_buffer, cam)
# Create Plane in the same frame as our camera with 1m distance facing the camera
plane = PlaneStamped()
plane.header.frame_id = 'base_footprint'
plane.plane.coef[2] = 1.0 # Normal in z direction
# Create two Points on the center pixel of the camera
points = np.array([
# Center
[float(cam.width // cam.binning_x // 2),
float(cam.height // cam.binning_y // 2), 0],
# Diagonal Corners
[float(cam.width // cam.binning_x),
float(cam.height // cam.binning_y), 0],
[0, 0, 0]
])
# Project points
projected_points = ipm.project_points(
plane,
points=points,
points_header=cam.header,
output_frame=plane.header.frame_id)
# Make goal points array, x and y are not exactly 0 because of the camera calibration as
# well as an uneven amount of pixels
goal_point_array = np.array([
[-0.0015865, 0.014633, 0],
[0.7633658, 0.588668, 0],
[-0.7665390, -0.559401, 0]
])
assert np.allclose(goal_point_array, projected_points, rtol=0.0001), \
'Projected point differs too much'
| 37.718033 | 96 | 0.661248 | 1,641 | 11,504 | 4.509445 | 0.12919 | 0.025946 | 0.033378 | 0.030811 | 0.81973 | 0.802973 | 0.777838 | 0.755405 | 0.755405 | 0.755405 | 0 | 0.062994 | 0.241047 | 11,504 | 304 | 97 | 37.842105 | 0.784561 | 0.29581 | 0 | 0.753623 | 0 | 0 | 0.081819 | 0 | 0 | 0 | 0 | 0 | 0.05314 | 1 | 0.033816 | false | 0 | 0.048309 | 0 | 0.082126 | 0.019324 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
1a45a3b36bf6daf42cb68dee09f7fccbb0189f36 | 89 | py | Python | 3Dimages_epidermis.py | alexalemi/cancersim | c7dea3ebc2f09e450ddd79c2d253a054e561c7e8 | [
"MIT"
] | 2 | 2021-01-14T09:00:16.000Z | 2021-01-14T09:01:11.000Z | 3Dimages_epidermis.py | MurphYZY/cancersim | c7dea3ebc2f09e450ddd79c2d253a054e561c7e8 | [
"MIT"
] | null | null | null | 3Dimages_epidermis.py | MurphYZY/cancersim | c7dea3ebc2f09e450ddd79c2d253a054e561c7e8 | [
"MIT"
] | 1 | 2021-01-14T08:58:04.000Z | 2021-01-14T08:58:04.000Z | #!/usr/bin/python
import povray_file_making
povray_file_making.povray_making_movie(1)
| 12.714286 | 41 | 0.831461 | 14 | 89 | 4.857143 | 0.642857 | 0.294118 | 0.470588 | 0.647059 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.012195 | 0.078652 | 89 | 6 | 42 | 14.833333 | 0.817073 | 0.179775 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.5 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 7 |
1a50ebaaa9fb6287e7999663ce1e04517ade32d4 | 29,371 | py | Python | modules/etl.py | tristans-repos/schema-dreamer | b0ffb8397315034196f7260cb1fbe3a3e5b76986 | [
"MIT"
] | null | null | null | modules/etl.py | tristans-repos/schema-dreamer | b0ffb8397315034196f7260cb1fbe3a3e5b76986 | [
"MIT"
] | null | null | null | modules/etl.py | tristans-repos/schema-dreamer | b0ffb8397315034196f7260cb1fbe3a3e5b76986 | [
"MIT"
] | null | null | null | from SPARQLWrapper import SPARQLWrapper
import modules.misc
import logging
class Build:
def __init__(self, filter_set_edges=[], filter_set_vertices=[]):
self.name = "Build class"
self.filter_set_edges = filter_set_edges
self.filter_set_vertices = filter_set_vertices
def fetch_node_id(self, page):
output = page.replace("http://dbpedia.org/resource/Category:", "")
output = page.replace("http://dbpedia.org/resource/", "")
return output
def filter_query_pred_gen(self):
filter_query_pred = ""
for i in range(len(self.filter_set_edges)):
if len(self.filter_set_edges) == 0:
break
elif len(self.filter_set_edges) == 1:
string = "FILTER(regex(?pred£, ££))"
filter_query_pred = string.replace("££", str(self.filter_set_edges[0]))
elif i == 0:
filter_query_pred = "FILTER("
string = "regex(?pred£, ££)"
filter_query_pred = filter_query_pred + string.replace("££", str(self.filter_set_edges[i]))
elif i < len(self.filter_set_edges) - 1:
string = "||regex(?pred£, ££)"
filter_query_pred = filter_query_pred + string.replace("££", str(self.filter_set_edges[i]))
elif i == len(self.filter_set_edges) - 1:
string = "||regex(?pred£, ££))"
filter_query_pred = filter_query_pred + string.replace("££", str(self.filter_set_edges[i]))
return filter_query_pred
def filter_query_pred_inv_gen(self):
filter_query_pred_inv = ""
for i in range(len(self.filter_set_edges)):
if len(self.filter_set_edges) == 0:
break
elif len(self.filter_set_edges) == 1:
string = "FILTER(regex(?pred_inv£, ££))"
filter_query_pred_inv = string.replace("££", str(self.filter_set_edges[0]))
elif i == 0:
filter_query_pred_inv = "FILTER("
string = "regex(?pred_inv£, ££)"
filter_query_pred_inv = filter_query_pred_inv + string.replace("££", str(self.filter_set_edges[i]))
elif i < len(self.filter_set_edges) - 1:
string = "||regex(?pred_inv£, ££)"
filter_query_pred_inv = filter_query_pred_inv + string.replace("££", str(self.filter_set_edges[i]))
elif i == len(self.filter_set_edges) - 1:
string = "||regex(?pred_inv£, ££))"
filter_query_pred_inv = filter_query_pred_inv + string.replace("££", str(self.filter_set_edges[i]))
return filter_query_pred_inv
def filter_query_vertex_gen(self):
filter_query_vertex = ""
for i in range(len(self.filter_set_vertices)):
if len(self.filter_set_vertices) == 0:
break
elif len(self.filter_set_vertices) == 1:
string = "FILTER(regex(?n£, ££))"
filter_query_vertex = string.replace("££", str(self.filter_set_vertices[0]))
elif i == 0:
filter_query_vertex = "FILTER("
string = "regex(?n£, ££)"
filter_query_vertex = filter_query_vertex + string.replace("££", str(self.filter_set_vertices[i]))
elif i < len(self.filter_set_vertices) - 1:
string = "||regex(?n£, ££)"
filter_query_vertex = filter_query_vertex + string.replace("££", str(self.filter_set_vertices[i]))
elif i == len(self.filter_set_vertices) - 1:
string = "||regex(?n£, ££))"
filter_query_vertex = filter_query_vertex + string.replace("££", str(self.filter_set_vertices[i]))
return filter_query_vertex
def cypher_url_gen(self, sparql_query):
wrapper = SPARQLWrapper("http://dbpedia.org/sparql")
wrapper.setQuery(sparql_query)
wrapper.setReturnFormat("csv")
query_result = wrapper.query()
url = query_result.geturl()
return url
def run(self, depth):
sparql_query = self.sparql_query_gen(depth)
url = self.cypher_url_gen(sparql_query)
cypher_query = self.cypher_query_gen(depth, url)
modules.misc.commit_cypher_query(cypher_query)
cypher_query_combine_nodes = """
MATCH (n1),(n2)
WHERE n1.iri = n2.iri and id(n1) < id(n2)
CALL apoc.refactor.mergeNodes([n1, n2]) YIELD node
RETURN n1, n2
"""
modules.misc.commit_cypher_query(cypher_query_combine_nodes)
cypher_query_combine_edges = """
MATCH (n1)-[r]->(n2), (n1)-[s]->(n2)
WHERE r.iri = s.iri and id(r) < id(s)
DELETE s
"""
modules.misc.commit_cypher_query(cypher_query_combine_edges)
class Pairwise(Build):
def __init__(self, start_page, end_page, filter_set_edges=[], filter_set_vertices=[]):
self.name = "Pairwise build between " + start_page + " and " + end_page
self.start_page = start_page
self.end_page = end_page
self.filter_set_edges = filter_set_edges
self.filter_set_vertices = filter_set_vertices
def sparql_query_gen(self, depth):
query_part1 = "\nSELECT "
for i in range(depth - 1):
string = "?pred£ ?pred_inv£ ?n£ "
query_part1 = query_part1 + string.replace("£", str(i + 1))
final_string = "?pred£ ?pred_inv£\n"
query_part1 = query_part1 + final_string.replace("£", str(depth))
filter_query_pred = self.filter_query_pred_gen()
filter_query_pred_inv = self.filter_query_pred_inv_gen()
filter_query_vertex = self.filter_query_vertex_gen()
filter_query_vertex_mid = filter_query_vertex + filter_query_vertex.replace("£", "££")
filter_query_vertex_mid = filter_query_vertex_mid.replace(")FILTER(", ")&&(").replace("FILTER(", "FILTER((") + ")"
query_part2_open = """
WHERE {
"""
query_part2_a = """
{ {
<""" + self.start_page + """> ?pred1 ?n1
} UNION {
?n1 ?pred_inv1 <""" + self.start_page + """>
} } .
"""
query_part2_b = """
{ {
""" + filter_query_pred.replace("£", "1") + """
<""" + self.start_page + """> ?pred1 ?n1
} UNION {
""" + filter_query_pred_inv.replace("£", "1") + """
?n1 ?pred_inv1 <""" + self.start_page + """>
} } .
"""
query_part2_c = """
{ {
""" + filter_query_vertex.replace("£", "1") + """
<""" + self.start_page + """> ?pred1 ?n1
} UNION {
""" + filter_query_vertex.replace("£", "1") + """
?n1 ?pred_inv1 <""" + self.start_page + """>
} } .
"""
query_part2_d = """
{ {
""" + filter_query_pred.replace("£", "1") + filter_query_vertex.replace("£", "1") + """
<""" + self.start_page + """> ?pred1 ?n1
} UNION {
""" + filter_query_pred_inv.replace("£", "1") + filter_query_vertex.replace("£", "1") + """
?n1 ?pred_inv1 <""" + self.start_page + """>
} } .
"""
for i in range(depth - 2):
block_a = """
{ {
?n£ ?pred££ ?n££
} UNION {
?n££ ?pred_inv££ ?n£
} } .
"""
block_b = """
{ {
""" + filter_query_pred.replace("£", str(i + 2)) + """
?n£ ?pred££ ?n££
} UNION {
""" + filter_query_pred_inv.replace("£", str(i + 2)) + """
?n££ ?pred_inv££ ?n£
} } .
"""
block_c = """
{ {
""" + filter_query_vertex_mid + """
?n£ ?pred££ ?n££
} UNION {
""" + filter_query_vertex_mid + """
?n££ ?pred_inv££ ?n£
} } .
"""
block_d = """
{ {
""" + filter_query_pred.replace("£", str(i + 2)) + filter_query_vertex_mid + """
?n£ ?pred££ ?n££
} UNION {
""" + filter_query_pred_inv.replace("£", str(i + 2)) + filter_query_vertex_mid + """
?n££ ?pred_inv££ ?n£
} } .
"""
query_part2_a = query_part2_a + block_a.replace("££", str(i + 2)).replace("£", str(i + 1))
query_part2_b = query_part2_b + block_b.replace("££", str(i + 2)).replace("£", str(i + 1))
query_part2_c = query_part2_c + block_c.replace("££", str(i + 2)).replace("£", str(i + 1))
query_part2_d = query_part2_d + block_d.replace("££", str(i + 2)).replace("£", str(i + 1))
final_block_a = """
{ {
""" + filter_query_pred.replace("£", str(depth)) + """
?n£ ?pred££ <""" + self.end_page + """>
} UNION {
""" + filter_query_pred_inv.replace("£", str(depth)) + """
<""" + self.end_page + """> ?pred_inv££ ?n£
} } .
"""
final_block_b = """
{ {
""" + filter_query_pred.replace("£", str(depth)) + """
?n£ ?pred££ <""" + self.end_page + """>
} UNION {
""" + filter_query_pred_inv.replace("£", str(depth)) + """
<""" + self.end_page + """> ?pred_inv££ ?n£
} } .
"""
final_block_c = """
{ {
""" + filter_query_vertex + """
?n£ ?pred££ <""" + self.end_page + """>
} UNION {
""" + filter_query_vertex + """
<""" + self.end_page + """> ?pred_inv££ ?n£
} } .
"""
final_block_d = """
{ {
""" + filter_query_pred.replace("£", str(depth)) + filter_query_vertex + """
?n£ ?pred££ <""" + self.end_page + """>
} UNION {
""" + filter_query_pred_inv.replace("£", str(depth)) + filter_query_vertex + """
<""" + self.end_page + """> ?pred_inv££ ?n£
} } .
"""
query_part2_a = query_part2_a + final_block_a.replace("££", str(depth)).replace("£", str(depth - 1))
query_part2_b = query_part2_b + final_block_b.replace("££", str(depth)).replace("£", str(depth - 1))
query_part2_c = query_part2_c + final_block_c.replace("££", str(depth)).replace("£", str(depth - 1))
query_part2_d = query_part2_d + final_block_d.replace("££", str(depth)).replace("£", str(depth - 1))
query_part2_close = """
}
"""
if len(self.filter_set_edges) == 0 and len(self.filter_set_vertices) == 0:
query_part2 = query_part2_open + query_part2_a + query_part2_close
elif len(self.filter_set_vertices) == 0:
query_part2 = query_part2_open + query_part2_b + query_part2_close
elif len(self.filter_set_edges) == 0:
query_part2 = query_part2_open + query_part2_c + query_part2_close
elif len(self.filter_set_edges) != 0 and len(self.filter_set_vertices) != 0:
query_part2 = query_part2_open + query_part2_d + query_part2_close
query = query_part1 + query_part2
logging.info(query)
return query
def cypher_query_gen(self, depth, url):
query_part1 = "WITH \"" + url + "\" AS url\n\nLOAD CSV WITH HEADERS FROM url AS row\n\n"
query_part2 = "MERGE (n0:depth_0 {iri: \"" + self.start_page + "\"})\n"
for i in range(depth - 1):
string = "MERGE (n£:depth_£ {iri: row.n£})\n"
query_part2 = query_part2 + string.replace("£", str(i + 1))
final_string = "MERGE (n£:depth_0 {iri: \"" + self.end_page + "\"})\n"
query_part2 = query_part2 + final_string.replace("£", str(depth))
query_part3 = ""
for i in range(depth):
block = """
FOREACH (x IN CASE WHEN row.pred££ IS NULL THEN [] ELSE [1] END | MERGE (n£)-[p:pred {iri: row.pred££}]->(n££))
FOREACH (x IN CASE WHEN row.pred_inv££ IS NULL THEN [] ELSE [1] END | MERGE (n£)<-[p:pred {iri: row.pred_inv££}]-(n££))
"""
query_part3 = query_part3 + block.replace("££", str(i + 1)).replace("£", str(i))
query = query_part1 + query_part2 + query_part3
logging.info(query)
return query
class Parent(Build):
def __init__(self, page, filter_set_edges=[], filter_set_vertices=[]):
self.name = "Parent build on " + page
self.page = page
self.filter_set_edges = filter_set_edges
self.filter_set_vertices = filter_set_vertices
def sparql_query_gen(self, depth):
query_part1 = "\nSELECT "
for i in range(depth):
string = "?pred£ ?n£ "
query_part1 = query_part1 + string.replace("£", str(i + 1))
filter_query_pred = self.filter_query_pred_gen()
filter_query_vertex = self.filter_query_vertex_gen()
filter_query_vertex_mid = filter_query_vertex + filter_query_vertex.replace("£", "££")
filter_query_vertex_mid = filter_query_vertex_mid.replace(")FILTER(", ")&&(").replace("FILTER(", "FILTER((") + ")"
query_part2_open = """
WHERE {
"""
query_part2_a = """
{
<""" + self.page + """> ?pred1 ?n1
} .
"""
query_part2_b = """
{
""" + filter_query_pred.replace("£", "1") + """
<""" + self.page + """> ?pred1 ?n1
} .
"""
query_part2_c = """
{
""" + filter_query_vertex.replace("£", "1") + """
<""" + self.page + """> ?pred1 ?n1
} .
"""
query_part2_d = """
{
""" + filter_query_pred.replace("£", "1") + filter_query_vertex.replace("£", "1") + """
<""" + self.page + """> ?pred1 ?n1
} .
"""
for i in range(depth - 1):
block_a = """
{
?n£ ?pred££ ?n££
} .
"""
block_b = """
{
""" + filter_query_pred.replace("£", "££") + """
?n£ ?pred££ ?n££
} .
"""
block_c = """
{
""" + filter_query_vertex_mid + """
?n£ ?pred££ ?n££
} .
"""
block_d = """
{
""" + filter_query_pred.replace("£", "££") + filter_query_vertex_mid + """
?n£ ?pred££ ?n££
} .
"""
query_part2_a = query_part2_a + block_a.replace("££", str(i + 2)).replace("£", str(i + 1))
query_part2_b = query_part2_b + block_b.replace("££", str(i + 2)).replace("£", str(i + 1))
query_part2_c = query_part2_c + block_c.replace("££", str(i + 2)).replace("£", str(i + 1))
query_part2_d = query_part2_d + block_d.replace("££", str(i + 2)).replace("£", str(i + 1))
query_part2_close = """
}
"""
if len(self.filter_set_edges) == 0 and len(self.filter_set_vertices) == 0:
query_part2 = query_part2_open + query_part2_a + query_part2_close
elif len(self.filter_set_vertices) == 0:
query_part2 = query_part2_open + query_part2_b + query_part2_close
elif len(self.filter_set_edges) == 0:
query_part2 = query_part2_open + query_part2_c + query_part2_close
elif len(self.filter_set_edges) != 0 and len(self.filter_set_vertices) != 0:
query_part2 = query_part2_open + query_part2_d + query_part2_close
query = query_part1 + query_part2
logging.info(query)
return query
def cypher_query_gen(self, depth, url):
query_part1 = "WITH \"" + url + "\" AS url\n\nLOAD CSV WITH HEADERS FROM url AS row\n\n"
node_id = self.fetch_node_id(self.page)
query_part2 = "MERGE (n0:depth_0:" + node_id + " {iri: \"" + self.page + "\"})\n"
for i in range(depth):
string = "MERGE (n£:depth_£:" + node_id + " {iri: row.n£})\n"
query_part2 = query_part2 + string.replace("£", str(i + 1))
query_part3 = ""
for i in range(depth):
block = """
FOREACH (x IN CASE WHEN row.pred££ IS NULL THEN [] ELSE [1] END | MERGE (n£)-[p:pred {iri: row.pred££}]->(n££))
"""
query_part3 = query_part3 + block.replace("££", str(i + 1)).replace("£", str(i))
query = query_part1 + query_part2 + query_part3
logging.info(query)
return query
class FiniteParent(Build):
def __init__(self, page, filter_set_edges=[], filter_set_vertices=[]):
self.name = "FiniteParent build on " + page
self.page = page
self.filter_set_edges = filter_set_edges
self.filter_set_vertices = filter_set_vertices
def sparql_query_gen(self, depth):
query_part1 = "\nSELECT "
for i in range(depth):
string = "?pred£ ?n£ "
query_part1 = query_part1 + string.replace("£", str(i + 1))
filter_query_pred = self.filter_query_pred_gen()
filter_query_vertex = self.filter_query_vertex_gen()
filter_query_vertex_mid = filter_query_vertex + filter_query_vertex.replace("£", "££")
filter_query_vertex_mid = filter_query_vertex_mid.replace(")FILTER(", ")&&(").replace("FILTER(", "FILTER((") + ")"
query_part2_open = """
WHERE {
"""
query_part2_a = """
{
<""" + self.page + """> ?pred1 ?n1
} .
"""
query_part2_b = """
{
""" + filter_query_pred.replace("£", "1") + """
<""" + self.page + """> ?pred1 ?n1
} .
"""
query_part2_c = """
{
""" + filter_query_vertex.replace("£", "1") + """
<""" + self.page + """> ?pred1 ?n1
} .
"""
query_part2_d = """
{
""" + filter_query_pred.replace("£", "1") + filter_query_vertex.replace("£", "1") + """
<""" + self.page + """> ?pred1 ?n1
} .
"""
temp_a = ""
temp_b = ""
temp_c = ""
temp_d = ""
final_a = ""
final_b = ""
final_c = ""
final_d = ""
for i in range(depth - 1):
block_a = """
{
?n£ ?pred££ ?n££
} ."""
block_b = """
{
""" + filter_query_pred.replace("£", "££") + """
?n£ ?pred££ ?n££
} ."""
block_c = """
{
""" + filter_query_vertex_mid + """
?n£ ?pred££ ?n££
} ."""
block_d = """
{
""" + filter_query_pred.replace("£", "££") + filter_query_vertex_mid + """
?n£ ?pred££ ?n££
} ."""
temp_a = temp_a + block_a.replace("££", str(i + 2)).replace("£", str(i + 1))
temp_b = temp_b + block_b.replace("££", str(i + 2)).replace("£", str(i + 1))
temp_c = temp_c + block_c.replace("££", str(i + 2)).replace("£", str(i + 1))
temp_d = temp_d + block_d.replace("££", str(i + 2)).replace("£", str(i + 1))
final_a = final_a + """
OPTIONAL {""" + temp_a + """
} .
"""
final_b = final_b + """
OPTIONAL {""" + temp_b + """
} .
"""
final_c = final_c + """
OPTIONAL {""" + temp_c + """
} .
"""
final_d = final_d + """
OPTIONAL {""" + temp_d + """
} .
"""
query_part2_close = """
}
"""
if len(self.filter_set_edges) == 0 and len(self.filter_set_vertices) == 0:
query_part2 = query_part2_open + query_part2_a + final_a + query_part2_close
elif len(self.filter_set_vertices) == 0:
query_part2 = query_part2_open + query_part2_b + final_b + query_part2_close
elif len(self.filter_set_edges) == 0:
query_part2 = query_part2_open + query_part2_c + final_c + query_part2_close
elif len(self.filter_set_edges) != 0 and len(self.filter_set_vertices) != 0:
query_part2 = query_part2_open + query_part2_d + final_d + query_part2_close
query = query_part1 + query_part2
logging.info(query)
return query
def cypher_query_gen(self, depth, url):
query_part1 = "WITH \"" + url + "\" AS url\n\nLOAD CSV WITH HEADERS FROM url AS row\n\n"
node_id = self.fetch_node_id(self.page)
query_part2 = """
FOREACH (x IN CASE WHEN row.pred££ IS NULL THEN [] ELSE [1] END | MERGE (n0:depth_0:""" + node_id + """ {iri: \"""" + self.page + """\"}) MERGE (n££:depth_££:""" + node_id + """ {iri: row.n££}) MERGE (n£)-[p:pred {iri: row.pred££}]->(n££))
"""
query_part2 = query_part2.replace("££", str(0 + 1)).replace("£", str(0))
for i in range(depth - 1):
block = """
FOREACH (x IN CASE WHEN row.pred££ IS NULL THEN [] ELSE [1] END | MERGE (n£:depth_£:""" + node_id + """ {iri: row.n£}) MERGE (n££:depth_££:""" + node_id + """ {iri: row.n££}) MERGE (n£)-[p:pred {iri: row.pred££}]->(n££))
"""
query_part2 = query_part2 + block.replace("££", str(i + 2)).replace("£", str(i + 1))
query = query_part1 + query_part2
logging.info(query)
return query
class Populate(Build):
def __init__(self, page, filter_set_edges=[], filter_set_vertices=[]):
self.name = "Populate build on " + page
self.page = page
self.filter_set_edges = filter_set_edges
self.filter_set_vertices = filter_set_vertices
def sparql_query_gen(self, depth):
query_part1 = "\nSELECT "
for i in range(depth):
string = "?pred£ ?pred_inv£ ?n£ "
query_part1 = query_part1 + string.replace("£", str(i + 1))
filter_query_pred = self.filter_query_pred_gen()
filter_query_pred_inv = self.filter_query_pred_inv_gen()
filter_query_vertex = self.filter_query_vertex_gen()
filter_query_vertex_mid = filter_query_vertex + filter_query_vertex.replace("£", "££")
filter_query_vertex_mid = filter_query_vertex_mid.replace(")FILTER(", ")&&(").replace("FILTER(", "FILTER((") + ")"
query_part2_open = """
WHERE {
"""
query_part2_a = """
{ {
<""" + self.page + """> ?pred1 ?n1
} UNION {
?n1 ?pred_inv1 <""" + self.page + """>
} } .
"""
query_part2_b = """
{ {
""" + filter_query_pred.replace("£", "1") + """
<""" + self.page + """> ?pred1 ?n1
} UNION {
""" + filter_query_pred_inv.replace("£", "1") + """
?n1 ?pred_inv1 <""" + self.page + """>
} } .
"""
query_part2_c = """
{ {
""" + filter_query_vertex.replace("£", "1") + """
<""" + self.page + """> ?pred1 ?n1
} UNION {
""" + filter_query_vertex.replace("£", "1") + """
?n1 ?pred_inv1 <""" + self.page + """>
} } .
"""
query_part2_d = """
{ {
""" + filter_query_pred.replace("£", "1") + filter_query_vertex.replace("£", "1") + """
<""" + self.page + """> ?pred1 ?n1
} UNION {
""" + filter_query_pred_inv.replace("£", "1") + filter_query_vertex.replace("£", "1") + """
?n1 ?pred_inv1 <""" + self.page + """>
} } .
"""
for i in range(depth - 1):
block_a = """
{ {
?n£ ?pred££ ?n££
} UNION {
?n££ ?pred_inv££ ?n£
} } .
"""
block_b = """
{ {
""" + filter_query_pred.replace("£", str(i + 2)) + """
?n£ ?pred££ ?n££
} UNION {
""" + filter_query_pred_inv.replace("£", str(i + 2)) + """
?n££ ?pred_inv££ ?n£
} } .
"""
block_c = """
{ {
""" + filter_query_vertex_mid + """
?n£ ?pred££ ?n££
} UNION {
""" + filter_query_vertex_mid + """
?n££ ?pred_inv££ ?n£
} } .
"""
block_d = """
{ {
""" + filter_query_pred.replace("£", str(i + 2)) + filter_query_vertex_mid + """
?n£ ?pred££ ?n££
} UNION {
""" + filter_query_pred_inv.replace("£", str(i + 2)) + filter_query_vertex_mid + """
?n££ ?pred_inv££ ?n£
} } .
"""
query_part2_a = query_part2_a + block_a.replace("££", str(i + 2)).replace("£", str(i + 1))
query_part2_b = query_part2_b + block_b.replace("££", str(i + 2)).replace("£", str(i + 1))
query_part2_c = query_part2_c + block_c.replace("££", str(i + 2)).replace("£", str(i + 1))
query_part2_d = query_part2_d + block_d.replace("££", str(i + 2)).replace("£", str(i + 1))
query_part2_close = """
}
"""
if len(self.filter_set_edges) == 0 and len(self.filter_set_vertices) == 0:
query_part2 = query_part2_open + query_part2_a + query_part2_close
elif len(self.filter_set_vertices) == 0:
query_part2 = query_part2_open + query_part2_b + query_part2_close
elif len(self.filter_set_edges) == 0:
query_part2 = query_part2_open + query_part2_c + query_part2_close
elif len(self.filter_set_edges) != 0 and len(self.filter_set_vertices) != 0:
query_part2 = query_part2_open + query_part2_d + query_part2_close
query = query_part1 + query_part2
logging.info(query)
return query
def cypher_query_gen(self, depth, url):
query_part1 = "WITH \"" + url + "\" AS url\n\nLOAD CSV WITH HEADERS FROM url AS row\n\n"
node_id = self.fetch_node_id(self.page)
query_part2 = "MERGE (n0:depth_0:" + node_id + " {iri: \"" + self.page + "\"})\n"
for i in range(depth):
string = "MERGE (n£:depth_£:" + node_id + " {iri: row.n£})\n"
query_part2 = query_part2 + string.replace("£", str(i + 1))
query_part3 = ""
for i in range(depth):
block = """
FOREACH (x IN CASE WHEN row.pred££ IS NULL THEN [] ELSE [1] END | MERGE (n£)-[p:pred {iri: row.pred££}]->(n££))
FOREACH (x IN CASE WHEN row.pred_inv££ IS NULL THEN [] ELSE [1] END | MERGE (n£)<-[p:pred {iri: row.pred_inv££}]-(n££))
"""
query_part3 = query_part3 + block.replace("££", str(i + 1)).replace("£", str(i))
query = query_part1 + query_part2 + query_part3
logging.info(query)
return query
class Clean:
def __init__(self):
self.name = "Clean class"
class Leaf(Clean):
def __init__(self):
self.name = "Leaf clean"
def run(self, depth):
cypher_query = """
MATCH (x)
WITH x, size((x)--()) as degree
WHERE degree = 1
DETACH DELETE (x)
"""
cypher_query_set = []
for i in range(depth):
cypher_query_set.append(cypher_query)
modules.misc.commit_cypher_query_set(cypher_query_set)
class DisjointParent(Clean):
def __init__(self):
self.name = "DisjointParent clean"
def get_root_labels(self):
cypher_query = """
MATCH (x:depth_0)
RETURN DISTINCT labels(x)
"""
output = modules.misc.commit_cypher_query_numpy(cypher_query).tolist()
self.root_labels = []
for i in output:
i[0].remove("depth_0")
self.root_labels.append(i[0][0])
logging.info(self.root_labels)
def combinations(self, root_labels):
root_label_combinations = []
for i in root_labels:
for j in root_labels:
if i < j:
root_label_combinations.append([i, j])
self.root_label_combinations = root_label_combinations
def run(self, depth):
self.get_root_labels()
self.combinations(self.root_labels)
cypher_query_1_set = []
cypher_query_1a = """
MATCH (x:depth_0)
MATCH (y:root_1:root_2)
SET x.keep = 1, y.keep = 1
"""
cypher_query_1_set.append(cypher_query_1a)
match_a = "MATCH (x:depth_0)-->(n1)-->"
match_b = "(y:root_1:root_2)"
pattern_statement = ""
set_statement = "SET n1.keep = 1"
if depth >= 2:
cypher_query_1b = match_a + match_b + "\n" + set_statement + "\n"
cypher_query_1_set.append(cypher_query_1b)
for i in range(depth - 2):
pattern_statement = ""
match_a = match_a + "(n&)-->".replace("&", str(i + 2))
pattern_statement = pattern_statement + match_a + match_b
set_statement = set_statement + ", n" + str(i + 2) + ".keep = 1"
cypher_query_1c = pattern_statement + "\n" + set_statement
cypher_query_1_set.append(cypher_query_1c)
cypher_query_set = []
for i in self.root_label_combinations:
for j in cypher_query_1_set:
x = j.replace("root_1", i[0]).replace("root_2", i[1])
cypher_query_set.append(x)
cypher_query_2 = """
MATCH (x)
WHERE x.keep IS NULL
DETACH DELETE x
"""
cypher_query_3 = """
MATCH (x)
SET x.keep = NULL
"""
cypher_query_set = cypher_query_set + [cypher_query_2, cypher_query_3]
logging.info(cypher_query_set)
modules.misc.commit_cypher_query_set(cypher_query_set)
| 37.46301 | 243 | 0.516973 | 3,737 | 29,371 | 3.874498 | 0.039069 | 0.099454 | 0.078666 | 0.043097 | 0.850957 | 0.828303 | 0.804268 | 0.778921 | 0.760826 | 0.749499 | 0 | 0.021591 | 0.317184 | 29,371 | 783 | 244 | 37.510856 | 0.678634 | 0 | 0 | 0.714706 | 0 | 0.013235 | 0.245557 | 0.004086 | 0 | 0 | 0 | 0 | 0 | 1 | 0.038235 | false | 0 | 0.004412 | 0 | 0.073529 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
202b7429c34298758b9489213a4d19b961c3c4c6 | 5,584 | py | Python | pyNastran/op2/tables/geom/geom_common.py | jtran10/pyNastran | 4aed8e05b91576c2b50ee835f0497a9aad1d2cb0 | [
"BSD-3-Clause"
] | null | null | null | pyNastran/op2/tables/geom/geom_common.py | jtran10/pyNastran | 4aed8e05b91576c2b50ee835f0497a9aad1d2cb0 | [
"BSD-3-Clause"
] | null | null | null | pyNastran/op2/tables/geom/geom_common.py | jtran10/pyNastran | 4aed8e05b91576c2b50ee835f0497a9aad1d2cb0 | [
"BSD-3-Clause"
] | null | null | null | #pylint: disable=W0613,R0201,C0111
from struct import Struct
class SuppressLogging(object):
def __init__(self):
pass
def debug(self, msg):
pass
def info(self, msg):
pass
def flush(self):
pass
class SuppressFileIO(object):
def __init__(self):
pass
def open(self, fname):
pass
def close(self):
pass
def write(self, msg):
pass
def flush(self):
pass
class GeomCommon(object):
def __init__(self):
self.card_count = {}
self.is_debug_file = False
self._endian = ''
self.struct_i = Struct('i')
self.struct_2i = Struct('2i')
self.binary_debug = SuppressFileIO()
#self.log = SuppressLogging()
def _read_fake(self, data, n):
self.log.info('skipping %s in %s' % (self.card_name, self.table_name))
#if (self.card_name == '' or '?' in self.card_name) and data:
#self.show_data(data)
return len(data)
def increase_card_count(self, name, count_num=1):
msg = 'this should be overwritten; name=%s count_num=%s' % (name, count_num)
raise NotImplementedError(msg)
def _add_coord_object(self, coord, allow_overwrites=True):
raise RuntimeError('this should be overwritten by the BDF class')
def _add_property_object(self, card, allow_overwrites=True):
raise RuntimeError('this should be overwritten by the BDF class')
def _add_constraint_spc_object(self, constraint):
raise RuntimeError('this should be overwritten by the BDF class')
def _add_constraint_spcoff_object(self, constraint):
raise RuntimeError('this should be overwritten by the BDF class')
def _add_rigid_element_object(self, constraint):
raise RuntimeError('this should be overwritten by the BDF class')
def _add_suport_object(self, constraint):
raise RuntimeError('this should be overwritten by the BDF class')
def _add_thermal_load_object(self, load):
raise RuntimeError('this should be overwritten by the BDF class')
def _add_load_object(self, load):
raise RuntimeError('this should be overwritten by the BDF class')
def _add_tstepnl_object(self, card, allow_overwrites=True):
raise RuntimeError('this should be overwritten by the BDF class')
def _add_nlparm_object(self, card, allow_overwrites=True):
raise RuntimeError('this should be overwritten by the BDF class')
def _add_material_dependence_object(self, material, allow_overwrites=True):
raise RuntimeError('this should be overwritten by the BDF class')
def _add_creep_material_object(self, material, allow_overwrites=True):
raise RuntimeError('this should be overwritten by the BDF class')
def _add_structural_material(self, material, allow_overwrites=True):
raise RuntimeError('this should be overwritten by the BDF class')
def _add_thermal_material_object(self, material, allow_overwrites=True):
raise RuntimeError('this should be overwritten by the BDF class')
def _add_gust_object(self, gust):
raise RuntimeError('this should be overwritten by the BDF class')
def _add_table_object(self, table):
raise RuntimeError('this should be overwritten by the BDF class')
def _add_aset_object(self, obj):
raise RuntimeError('this should be overwritten by the BDF class')
def _add_bset_object(self, obj):
raise RuntimeError('this should be overwritten by the BDF class')
def _add_cset_object(self, obj):
raise RuntimeError('this should be overwritten by the BDF class')
def _add_uset_object(self, obj):
raise RuntimeError('this should be overwritten by the BDF class')
def _add_seqset_object(self, obj):
raise RuntimeError('this should be overwritten by the BDF class')
def _add_constraint_spcadd_object(self, obj):
raise RuntimeError('this should be overwritten by the BDF class')
def _add_constraint_mpcadd_object(self, obj):
raise RuntimeError('this should be overwritten by the BDF class')
def _add_thermal_element_object(self, obj):
raise RuntimeError('this should be overwritten by the BDF class')
def _add_mass_object(self, obj):
raise RuntimeError('this should be overwritten by the BDF class')
def _add_spoint_object(self, obj):
raise RuntimeError('this should be overwritten by the BDF class')
def _add_plotel_object(self, obj):
raise RuntimeError('this should be overwritten by the BDF class')
def _add_load_combination_object(self, obj):
raise RuntimeError('this should be overwritten by the BDF class')
def _add_lseq_object(self, obj):
raise RuntimeError('this should be overwritten by the BDF class')
def _add_constraint_mpc_object(self, obj):
raise RuntimeError('this should be overwritten by the BDF class')
def _add_thermal_bc_object(self, obj, key):
raise RuntimeError('this should be overwritten by the BDF class')
def _add_qset_object(self, obj):
raise RuntimeError('this should be overwritten by the BDF class')
def _add_element_object(self, obj):
raise RuntimeError('this should be overwritten by the BDF class')
def _add_structural_material_object(self, allow_overwrites=True):
raise RuntimeError('this should be overwritten by the BDF class')
def _add_hyperelastic_material_object(self, allow_overwrites=True):
raise RuntimeError('this should be overwritten by the BDF class')
| 37.226667 | 84 | 0.702722 | 754 | 5,584 | 4.990716 | 0.135279 | 0.095668 | 0.114802 | 0.220037 | 0.788998 | 0.788998 | 0.776242 | 0.776242 | 0.759235 | 0.759235 | 0 | 0.00344 | 0.219198 | 5,584 | 149 | 85 | 37.47651 | 0.859633 | 0.025251 | 0 | 0.466667 | 0 | 0 | 0.289208 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.447619 | false | 0.085714 | 0.009524 | 0 | 0.495238 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 8 |
203c106a4e01223b3f685129582d11ad68f7cdf1 | 349 | py | Python | tests/internal/instance_type/test_instance_type_p3_auto.py | frolovv/aws.ec2.compare | 582805823492f833d65c0441c4a14dce697c12aa | [
"Apache-2.0"
] | null | null | null | tests/internal/instance_type/test_instance_type_p3_auto.py | frolovv/aws.ec2.compare | 582805823492f833d65c0441c4a14dce697c12aa | [
"Apache-2.0"
] | null | null | null | tests/internal/instance_type/test_instance_type_p3_auto.py | frolovv/aws.ec2.compare | 582805823492f833d65c0441c4a14dce697c12aa | [
"Apache-2.0"
] | 1 | 2021-12-15T11:58:22.000Z | 2021-12-15T11:58:22.000Z |
# Testing module instance_type.p3
import pytest
import ec2_compare.internal.instance_type.p3
def test_get_internal_data_instance_type_p3_get_instances_list():
assert len(ec2_compare.internal.instance_type.p3.get_instances_list()) > 0
def test_get_internal_data_instance_type_p3_get():
assert len(ec2_compare.internal.instance_type.p3.get) > 0
| 34.9 | 76 | 0.848138 | 56 | 349 | 4.839286 | 0.339286 | 0.265683 | 0.309963 | 0.250923 | 0.826568 | 0.826568 | 0.612546 | 0.612546 | 0.612546 | 0 | 0 | 0.034056 | 0.074499 | 349 | 9 | 77 | 38.777778 | 0.804954 | 0.088825 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.333333 | 1 | 0.333333 | true | 0 | 0.333333 | 0 | 0.666667 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 10 |
204c79ebe7483b4830030b90e7f83bc73e85ae53 | 708 | py | Python | test/test_stripping.py | harrisonpim/dotenv-stripout | acf2ae1f0d5d6638dfea0e26a5be9cd8e021efa7 | [
"MIT"
] | 2 | 2021-11-30T10:47:42.000Z | 2022-02-13T19:47:28.000Z | test/test_stripping.py | harrisonpim/dotenv-stripout | acf2ae1f0d5d6638dfea0e26a5be9cd8e021efa7 | [
"MIT"
] | null | null | null | test/test_stripping.py | harrisonpim/dotenv-stripout | acf2ae1f0d5d6638dfea0e26a5be9cd8e021efa7 | [
"MIT"
] | 1 | 2021-11-30T10:47:40.000Z | 2021-11-30T10:47:40.000Z | from dotenv_stripout.stripout import strip_line
def test_normal_line():
input_line = "MY_SECRET_PASSWORD=IqLTLrFviwHTDKWGZoR7uB2JtM1wjwE34MBwoztE"
expected_output_line = "MY_SECRET_PASSWORD="
output_line = strip_line(input_line)
assert output_line == expected_output_line
def test_line_without_value():
input_line = "MY_SECRET_PASSWORD="
expected_output_line = "MY_SECRET_PASSWORD="
output_line = strip_line(input_line)
assert output_line == expected_output_line
def test_line_without_equals():
input_line = "MY_SECRET_PASSWORD"
expected_output_line = "MY_SECRET_PASSWORD="
output_line = strip_line(input_line)
assert output_line == expected_output_line
| 30.782609 | 78 | 0.786723 | 91 | 708 | 5.582418 | 0.21978 | 0.23622 | 0.141732 | 0.23622 | 0.785433 | 0.73622 | 0.73622 | 0.73622 | 0.73622 | 0.73622 | 0 | 0.008264 | 0.14548 | 708 | 22 | 79 | 32.181818 | 0.831405 | 0 | 0 | 0.5625 | 0 | 0 | 0.216102 | 0.083333 | 0 | 0 | 0 | 0 | 0.1875 | 1 | 0.1875 | false | 0.375 | 0.0625 | 0 | 0.25 | 0 | 0 | 0 | 0 | null | 1 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 8 |
205546b3c12436086dd1fb5e2dec4371e1e64646 | 1,417 | py | Python | references/controllers/tests/test_controller_health.py | arXiv/arxiv-references | a755aeaa864ff807ff16ae2c3960f9fee54d8dd8 | [
"MIT"
] | 7 | 2019-04-21T07:22:23.000Z | 2022-02-23T18:52:26.000Z | references/controllers/tests/test_controller_health.py | cul-it/arxiv-references | a755aeaa864ff807ff16ae2c3960f9fee54d8dd8 | [
"MIT"
] | 4 | 2017-11-07T16:38:46.000Z | 2018-05-04T19:53:55.000Z | references/controllers/tests/test_controller_health.py | cul-it/arxiv-references | a755aeaa864ff807ff16ae2c3960f9fee54d8dd8 | [
"MIT"
] | 6 | 2019-01-10T22:02:15.000Z | 2022-02-22T02:00:16.000Z | """Tests for the :mod:`references.controllers.health` module."""
import unittest
from unittest import mock
from references.controllers.health import health_check, _getServices
class TestHealthCheck(unittest.TestCase):
@mock.patch('references.controllers.health.cermine')
@mock.patch('references.controllers.health.data_store')
@mock.patch('references.controllers.health.grobid')
@mock.patch('references.controllers.health.refextract')
def test_health_check_ok(self, *mocks):
"""A dict of health states is returned."""
status, code, _ = health_check()
self.assertIsInstance(status, dict)
self.assertEqual(len(status), len(_getServices()))
for stat in status.values():
self.assertTrue(stat)
@mock.patch('references.controllers.health.cermine')
@mock.patch('references.controllers.health.data_store')
@mock.patch('references.controllers.health.grobid')
@mock.patch('references.controllers.health.refextract')
def test_health_check_failure(self, *mocks):
"""A dict of health states is returned."""
for obj in mocks:
type(obj).session = mock.PropertyMock(side_effect=RuntimeError)
status, code, _ = health_check()
self.assertIsInstance(status, dict)
self.assertEqual(len(status), len(_getServices()))
for stat in status.values():
self.assertFalse(stat)
| 40.485714 | 75 | 0.698659 | 160 | 1,417 | 6.08125 | 0.325 | 0.215827 | 0.277492 | 0.24666 | 0.711202 | 0.711202 | 0.711202 | 0.711202 | 0.711202 | 0.633094 | 0 | 0 | 0.176429 | 1,417 | 34 | 76 | 41.676471 | 0.833762 | 0.093155 | 0 | 0.615385 | 0 | 0 | 0.241135 | 0.241135 | 0 | 0 | 0 | 0 | 0.230769 | 1 | 0.076923 | false | 0 | 0.115385 | 0 | 0.230769 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
646069dc415848f61de4c20c81f7f16ee04a4e3c | 30,768 | py | Python | aadcUser/frAIburg_ThriftFacenet/python/thrift_web_app/gen-py/newservice/NewService.py | PhilJd/frAIburg | 7585999953486bceb945f1eb7a96cbe94ea72186 | [
"BSD-3-Clause"
] | 10 | 2017-11-21T09:34:36.000Z | 2021-07-06T21:15:28.000Z | aadcUser/frAIburg_ThriftFacenet/python/thrift_web_app/gen-py/newservice/NewService.py | PhilJd/frAIburg | 7585999953486bceb945f1eb7a96cbe94ea72186 | [
"BSD-3-Clause"
] | null | null | null | aadcUser/frAIburg_ThriftFacenet/python/thrift_web_app/gen-py/newservice/NewService.py | PhilJd/frAIburg | 7585999953486bceb945f1eb7a96cbe94ea72186 | [
"BSD-3-Clause"
] | null | null | null | #
# Autogenerated by Thrift Compiler (0.9.1)
#
# DO NOT EDIT UNLESS YOU ARE SURE THAT YOU KNOW WHAT YOU ARE DOING
#
# options string: py
#
from thrift.Thrift import TType, TMessageType, TException, TApplicationException
from ttypes import *
from thrift.Thrift import TProcessor
from thrift.transport import TTransport
from thrift.protocol import TBinaryProtocol, TProtocol
try:
from thrift.protocol import fastbinary
except:
fastbinary = None
class Iface:
def ping(self, s1):
"""
Parameters:
- s1
"""
pass
def get_all_names(self):
pass
def add_person(self, raw_data, params):
"""
Parameters:
- raw_data
- params
"""
pass
def remove_person(self, s):
"""
Parameters:
- s
"""
pass
def drive_to(self, s1):
"""
Parameters:
- s1
"""
pass
def start_driving(self):
pass
class Client(Iface):
def __init__(self, iprot, oprot=None):
self._iprot = self._oprot = iprot
if oprot is not None:
self._oprot = oprot
self._seqid = 0
def ping(self, s1):
"""
Parameters:
- s1
"""
self.send_ping(s1)
return self.recv_ping()
def send_ping(self, s1):
self._oprot.writeMessageBegin('ping', TMessageType.CALL, self._seqid)
args = ping_args()
args.s1 = s1
args.write(self._oprot)
self._oprot.writeMessageEnd()
self._oprot.trans.flush()
def recv_ping(self):
(fname, mtype, rseqid) = self._iprot.readMessageBegin()
if mtype == TMessageType.EXCEPTION:
x = TApplicationException()
x.read(self._iprot)
self._iprot.readMessageEnd()
raise x
result = ping_result()
result.read(self._iprot)
self._iprot.readMessageEnd()
if result.success is not None:
return result.success
raise TApplicationException(TApplicationException.MISSING_RESULT, "ping failed: unknown result");
def get_all_names(self):
self.send_get_all_names()
return self.recv_get_all_names()
def send_get_all_names(self):
self._oprot.writeMessageBegin('get_all_names', TMessageType.CALL, self._seqid)
args = get_all_names_args()
args.write(self._oprot)
self._oprot.writeMessageEnd()
self._oprot.trans.flush()
def recv_get_all_names(self):
(fname, mtype, rseqid) = self._iprot.readMessageBegin()
if mtype == TMessageType.EXCEPTION:
x = TApplicationException()
x.read(self._iprot)
self._iprot.readMessageEnd()
raise x
result = get_all_names_result()
result.read(self._iprot)
self._iprot.readMessageEnd()
if result.success is not None:
return result.success
raise TApplicationException(TApplicationException.MISSING_RESULT, "get_all_names failed: unknown result");
def add_person(self, raw_data, params):
"""
Parameters:
- raw_data
- params
"""
self.send_add_person(raw_data, params)
return self.recv_add_person()
def send_add_person(self, raw_data, params):
self._oprot.writeMessageBegin('add_person', TMessageType.CALL, self._seqid)
args = add_person_args()
args.raw_data = raw_data
args.params = params
args.write(self._oprot)
self._oprot.writeMessageEnd()
self._oprot.trans.flush()
def recv_add_person(self):
(fname, mtype, rseqid) = self._iprot.readMessageBegin()
if mtype == TMessageType.EXCEPTION:
x = TApplicationException()
x.read(self._iprot)
self._iprot.readMessageEnd()
raise x
result = add_person_result()
result.read(self._iprot)
self._iprot.readMessageEnd()
if result.success is not None:
return result.success
raise TApplicationException(TApplicationException.MISSING_RESULT, "add_person failed: unknown result");
def remove_person(self, s):
"""
Parameters:
- s
"""
self.send_remove_person(s)
return self.recv_remove_person()
def send_remove_person(self, s):
self._oprot.writeMessageBegin('remove_person', TMessageType.CALL, self._seqid)
args = remove_person_args()
args.s = s
args.write(self._oprot)
self._oprot.writeMessageEnd()
self._oprot.trans.flush()
def recv_remove_person(self):
(fname, mtype, rseqid) = self._iprot.readMessageBegin()
if mtype == TMessageType.EXCEPTION:
x = TApplicationException()
x.read(self._iprot)
self._iprot.readMessageEnd()
raise x
result = remove_person_result()
result.read(self._iprot)
self._iprot.readMessageEnd()
if result.success is not None:
return result.success
raise TApplicationException(TApplicationException.MISSING_RESULT, "remove_person failed: unknown result");
def drive_to(self, s1):
"""
Parameters:
- s1
"""
self.send_drive_to(s1)
return self.recv_drive_to()
def send_drive_to(self, s1):
self._oprot.writeMessageBegin('drive_to', TMessageType.CALL, self._seqid)
args = drive_to_args()
args.s1 = s1
args.write(self._oprot)
self._oprot.writeMessageEnd()
self._oprot.trans.flush()
def recv_drive_to(self):
(fname, mtype, rseqid) = self._iprot.readMessageBegin()
if mtype == TMessageType.EXCEPTION:
x = TApplicationException()
x.read(self._iprot)
self._iprot.readMessageEnd()
raise x
result = drive_to_result()
result.read(self._iprot)
self._iprot.readMessageEnd()
if result.success is not None:
return result.success
raise TApplicationException(TApplicationException.MISSING_RESULT, "drive_to failed: unknown result");
def start_driving(self):
self.send_start_driving()
return self.recv_start_driving()
def send_start_driving(self):
self._oprot.writeMessageBegin('start_driving', TMessageType.CALL, self._seqid)
args = start_driving_args()
args.write(self._oprot)
self._oprot.writeMessageEnd()
self._oprot.trans.flush()
def recv_start_driving(self):
(fname, mtype, rseqid) = self._iprot.readMessageBegin()
if mtype == TMessageType.EXCEPTION:
x = TApplicationException()
x.read(self._iprot)
self._iprot.readMessageEnd()
raise x
result = start_driving_result()
result.read(self._iprot)
self._iprot.readMessageEnd()
if result.success is not None:
return result.success
raise TApplicationException(TApplicationException.MISSING_RESULT, "start_driving failed: unknown result");
class Processor(Iface, TProcessor):
def __init__(self, handler):
self._handler = handler
self._processMap = {}
self._processMap["ping"] = Processor.process_ping
self._processMap["get_all_names"] = Processor.process_get_all_names
self._processMap["add_person"] = Processor.process_add_person
self._processMap["remove_person"] = Processor.process_remove_person
self._processMap["drive_to"] = Processor.process_drive_to
self._processMap["start_driving"] = Processor.process_start_driving
def process(self, iprot, oprot):
(name, type, seqid) = iprot.readMessageBegin()
if name not in self._processMap:
iprot.skip(TType.STRUCT)
iprot.readMessageEnd()
x = TApplicationException(TApplicationException.UNKNOWN_METHOD, 'Unknown function %s' % (name))
oprot.writeMessageBegin(name, TMessageType.EXCEPTION, seqid)
x.write(oprot)
oprot.writeMessageEnd()
oprot.trans.flush()
return
else:
self._processMap[name](self, seqid, iprot, oprot)
return True
def process_ping(self, seqid, iprot, oprot):
args = ping_args()
args.read(iprot)
iprot.readMessageEnd()
result = ping_result()
result.success = self._handler.ping(args.s1)
oprot.writeMessageBegin("ping", TMessageType.REPLY, seqid)
result.write(oprot)
oprot.writeMessageEnd()
oprot.trans.flush()
def process_get_all_names(self, seqid, iprot, oprot):
args = get_all_names_args()
args.read(iprot)
iprot.readMessageEnd()
result = get_all_names_result()
result.success = self._handler.get_all_names()
oprot.writeMessageBegin("get_all_names", TMessageType.REPLY, seqid)
result.write(oprot)
oprot.writeMessageEnd()
oprot.trans.flush()
def process_add_person(self, seqid, iprot, oprot):
args = add_person_args()
args.read(iprot)
iprot.readMessageEnd()
result = add_person_result()
result.success = self._handler.add_person(args.raw_data, args.params)
oprot.writeMessageBegin("add_person", TMessageType.REPLY, seqid)
result.write(oprot)
oprot.writeMessageEnd()
oprot.trans.flush()
def process_remove_person(self, seqid, iprot, oprot):
args = remove_person_args()
args.read(iprot)
iprot.readMessageEnd()
result = remove_person_result()
result.success = self._handler.remove_person(args.s)
oprot.writeMessageBegin("remove_person", TMessageType.REPLY, seqid)
result.write(oprot)
oprot.writeMessageEnd()
oprot.trans.flush()
def process_drive_to(self, seqid, iprot, oprot):
args = drive_to_args()
args.read(iprot)
iprot.readMessageEnd()
result = drive_to_result()
result.success = self._handler.drive_to(args.s1)
oprot.writeMessageBegin("drive_to", TMessageType.REPLY, seqid)
result.write(oprot)
oprot.writeMessageEnd()
oprot.trans.flush()
def process_start_driving(self, seqid, iprot, oprot):
args = start_driving_args()
args.read(iprot)
iprot.readMessageEnd()
result = start_driving_result()
result.success = self._handler.start_driving()
oprot.writeMessageBegin("start_driving", TMessageType.REPLY, seqid)
result.write(oprot)
oprot.writeMessageEnd()
oprot.trans.flush()
# HELPER FUNCTIONS AND STRUCTURES
class ping_args:
"""
Attributes:
- s1
"""
thrift_spec = (
None, # 0
(1, TType.STRING, 's1', None, None, ), # 1
)
def __init__(self, s1=None,):
self.s1 = s1
def read(self, iprot):
if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None:
fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec))
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 1:
if ftype == TType.STRING:
self.s1 = iprot.readString();
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None:
oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec)))
return
oprot.writeStructBegin('ping_args')
if self.s1 is not None:
oprot.writeFieldBegin('s1', TType.STRING, 1)
oprot.writeString(self.s1)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.iteritems()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
class ping_result:
"""
Attributes:
- success
"""
thrift_spec = (
(0, TType.STRING, 'success', None, None, ), # 0
)
def __init__(self, success=None,):
self.success = success
def read(self, iprot):
if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None:
fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec))
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 0:
if ftype == TType.STRING:
self.success = iprot.readString();
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None:
oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec)))
return
oprot.writeStructBegin('ping_result')
if self.success is not None:
oprot.writeFieldBegin('success', TType.STRING, 0)
oprot.writeString(self.success)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.iteritems()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
class get_all_names_args:
thrift_spec = (
)
def read(self, iprot):
if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None:
fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec))
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None:
oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec)))
return
oprot.writeStructBegin('get_all_names_args')
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.iteritems()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
class get_all_names_result:
"""
Attributes:
- success
"""
thrift_spec = (
(0, TType.LIST, 'success', (TType.STRING,None), None, ), # 0
)
def __init__(self, success=None,):
self.success = success
def read(self, iprot):
if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None:
fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec))
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 0:
if ftype == TType.LIST:
self.success = []
(_etype3, _size0) = iprot.readListBegin()
for _i4 in xrange(_size0):
_elem5 = iprot.readString();
self.success.append(_elem5)
iprot.readListEnd()
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None:
oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec)))
return
oprot.writeStructBegin('get_all_names_result')
if self.success is not None:
oprot.writeFieldBegin('success', TType.LIST, 0)
oprot.writeListBegin(TType.STRING, len(self.success))
for iter6 in self.success:
oprot.writeString(iter6)
oprot.writeListEnd()
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.iteritems()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
class add_person_args:
"""
Attributes:
- raw_data
- params
"""
thrift_spec = (
None, # 0
(1, TType.STRUCT, 'raw_data', (TAppDataRaw, TAppDataRaw.thrift_spec), None, ), # 1
(2, TType.STRUCT, 'params', (TImageParams, TImageParams.thrift_spec), None, ), # 2
)
def __init__(self, raw_data=None, params=None,):
self.raw_data = raw_data
self.params = params
def read(self, iprot):
if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None:
fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec))
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 1:
if ftype == TType.STRUCT:
self.raw_data = TAppDataRaw()
self.raw_data.read(iprot)
else:
iprot.skip(ftype)
elif fid == 2:
if ftype == TType.STRUCT:
self.params = TImageParams()
self.params.read(iprot)
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None:
oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec)))
return
oprot.writeStructBegin('add_person_args')
if self.raw_data is not None:
oprot.writeFieldBegin('raw_data', TType.STRUCT, 1)
self.raw_data.write(oprot)
oprot.writeFieldEnd()
if self.params is not None:
oprot.writeFieldBegin('params', TType.STRUCT, 2)
self.params.write(oprot)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.iteritems()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
class add_person_result:
"""
Attributes:
- success
"""
thrift_spec = (
(0, TType.BOOL, 'success', None, None, ), # 0
)
def __init__(self, success=None,):
self.success = success
def read(self, iprot):
if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None:
fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec))
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 0:
if ftype == TType.BOOL:
self.success = iprot.readBool();
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None:
oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec)))
return
oprot.writeStructBegin('add_person_result')
if self.success is not None:
oprot.writeFieldBegin('success', TType.BOOL, 0)
oprot.writeBool(self.success)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.iteritems()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
class remove_person_args:
"""
Attributes:
- s
"""
thrift_spec = (
None, # 0
(1, TType.STRING, 's', None, None, ), # 1
)
def __init__(self, s=None,):
self.s = s
def read(self, iprot):
if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None:
fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec))
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 1:
if ftype == TType.STRING:
self.s = iprot.readString();
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None:
oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec)))
return
oprot.writeStructBegin('remove_person_args')
if self.s is not None:
oprot.writeFieldBegin('s', TType.STRING, 1)
oprot.writeString(self.s)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.iteritems()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
class remove_person_result:
"""
Attributes:
- success
"""
thrift_spec = (
(0, TType.BOOL, 'success', None, None, ), # 0
)
def __init__(self, success=None,):
self.success = success
def read(self, iprot):
if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None:
fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec))
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 0:
if ftype == TType.BOOL:
self.success = iprot.readBool();
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None:
oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec)))
return
oprot.writeStructBegin('remove_person_result')
if self.success is not None:
oprot.writeFieldBegin('success', TType.BOOL, 0)
oprot.writeBool(self.success)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.iteritems()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
class drive_to_args:
"""
Attributes:
- s1
"""
thrift_spec = (
None, # 0
(1, TType.STRING, 's1', None, None, ), # 1
)
def __init__(self, s1=None,):
self.s1 = s1
def read(self, iprot):
if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None:
fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec))
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 1:
if ftype == TType.STRING:
self.s1 = iprot.readString();
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None:
oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec)))
return
oprot.writeStructBegin('drive_to_args')
if self.s1 is not None:
oprot.writeFieldBegin('s1', TType.STRING, 1)
oprot.writeString(self.s1)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.iteritems()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
class drive_to_result:
"""
Attributes:
- success
"""
thrift_spec = (
(0, TType.BOOL, 'success', None, None, ), # 0
)
def __init__(self, success=None,):
self.success = success
def read(self, iprot):
if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None:
fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec))
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 0:
if ftype == TType.BOOL:
self.success = iprot.readBool();
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None:
oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec)))
return
oprot.writeStructBegin('drive_to_result')
if self.success is not None:
oprot.writeFieldBegin('success', TType.BOOL, 0)
oprot.writeBool(self.success)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.iteritems()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
class start_driving_args:
thrift_spec = (
)
def read(self, iprot):
if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None:
fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec))
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None:
oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec)))
return
oprot.writeStructBegin('start_driving_args')
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.iteritems()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
class start_driving_result:
"""
Attributes:
- success
"""
thrift_spec = (
(0, TType.BOOL, 'success', None, None, ), # 0
)
def __init__(self, success=None,):
self.success = success
def read(self, iprot):
if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None:
fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec))
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 0:
if ftype == TType.BOOL:
self.success = iprot.readBool();
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None:
oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec)))
return
oprot.writeStructBegin('start_driving_result')
if self.success is not None:
oprot.writeFieldBegin('success', TType.BOOL, 0)
oprot.writeBool(self.success)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.iteritems()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
| 29.842871 | 188 | 0.672939 | 3,665 | 30,768 | 5.354707 | 0.045293 | 0.016815 | 0.030268 | 0.059924 | 0.865121 | 0.815287 | 0.786904 | 0.764688 | 0.759796 | 0.759796 | 0 | 0.003952 | 0.210446 | 30,768 | 1,030 | 189 | 29.871845 | 0.803894 | 0.019078 | 0 | 0.787342 | 1 | 0 | 0.029231 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.14557 | false | 0.007595 | 0.007595 | 0.04557 | 0.296203 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
646d3e1709285916b59ea91dfd0146d9ce5c2b82 | 3,877 | py | Python | tests/test_add.py | ValentinVignal/EpicPath | d1900c4d6af22bd4cd2dc2464a813beca83aa294 | [
"MIT"
] | 16 | 2020-02-04T02:56:08.000Z | 2020-10-18T16:07:57.000Z | tests/test_add.py | ValentinVignal/EpicPath | d1900c4d6af22bd4cd2dc2464a813beca83aa294 | [
"MIT"
] | null | null | null | tests/test_add.py | ValentinVignal/EpicPath | d1900c4d6af22bd4cd2dc2464a813beca83aa294 | [
"MIT"
] | null | null | null | import unittest
from epicpath import EpicPath as EP
from pathlib import Path
class Add(unittest.TestCase):
"""
Tests the library epicpath
"""
# --------------------------------------------------------------------------------
# __add__(self, other)
# --------------------------------------------------------------------------------
def test__add__string(self):
"""
Test the addition
:return:
"""
p = EP('a', 'b', 'c')
p_truth = EP('a', 'b', 'cde')
p_added = p + 'de'
self.assertEqual(p_added, p_truth)
def test__add__path(self):
"""
test EP + Path
:return:
"""
p = EP('a', 'b', 'c')
p_truth = EP('a', 'b', 'cde')
p_added = p + Path('de')
self.assertEqual(p_added, p_truth)
def test__add__ep(self):
"""
EP + EP
:return:
"""
p = EP('a', 'b', 'c')
p_truth = EP('a', 'b', 'cde')
p_added = p + EP('de')
self.assertEqual(p_added, p_truth)
# --------------------------------------------------------------------------------
# __radd__(self, other)
# --------------------------------------------------------------------------------
def test__radd__string(self):
"""
Test the addition
:return:
"""
p = EP('a', 'b', 'c')
p_truth = EP('yza', 'b', 'c')
p_added = 'yz' + p
self.assertEqual(p_added, p_truth)
def test__radd__path(self):
"""
test EP + Path
:return:
"""
p = EP('a', 'b', 'c')
p_truth = EP('yza', 'b', 'c')
p_added = Path('yz') + p
self.assertEqual(p_added, p_truth)
def test__radd__ep(self):
"""
EP + EP
:return:
"""
p = EP('a', 'b', 'c')
p_truth = EP('yza', 'b', 'c')
p_added = EP('yz') + p
self.assertEqual(p_added, p_truth)
# --------------------------------------------------------------------------------
# __iadd__(self, other)
# --------------------------------------------------------------------------------
def test__iadd__string(self):
"""
Test the iaddition
:return:
"""
p = EP('a', 'b', 'c')
p_truth = EP('a', 'b', 'cde')
p += 'de'
self.assertEqual(p, p_truth)
def test__iadd__path(self):
"""
test EP + Path
:return:
"""
p = EP('a', 'b', 'c')
p_truth = EP('a', 'b', 'cde')
p += Path('de')
self.assertEqual(p, p_truth)
def test__iadd__ep(self):
"""
EP + EP
:return:
"""
p = EP('a', 'b', 'c')
p_truth = EP('a', 'b', 'cde')
p += EP('de')
self.assertEqual(p, p_truth)
# --------------------------------------------------------------------------------
# add(self, other)
# --------------------------------------------------------------------------------
def test_add_string(self):
"""
Test the iaddition
:return:
"""
p = EP('a', 'b', 'c')
p_truth = EP('a', 'b', 'cde')
p.add('de')
self.assertEqual(p, p_truth)
def test_add_path(self):
"""
test EP + Path
:return:
"""
p = EP('a', 'b', 'c')
p_truth = EP('a', 'b', 'cde')
p.add(Path('de'))
self.assertEqual(p, p_truth)
def test_add_ep(self):
"""
EP + EP
:return:
"""
p = EP('a', 'b', 'c')
p_truth = EP('a', 'b', 'cde')
p.add(EP('de'))
self.assertEqual(p, p_truth)
if __name__ == '__main__':
unittest.main()
| 23.932099 | 86 | 0.340727 | 386 | 3,877 | 3.168394 | 0.098446 | 0.117743 | 0.068684 | 0.098119 | 0.84628 | 0.84628 | 0.841374 | 0.775143 | 0.750613 | 0.6574 | 0 | 0 | 0.349497 | 3,877 | 161 | 87 | 24.080745 | 0.484933 | 0.292752 | 0 | 0.545455 | 0 | 0 | 0.054631 | 0 | 0 | 0 | 0 | 0 | 0.181818 | 1 | 0.181818 | false | 0 | 0.045455 | 0 | 0.242424 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
b390cffdb602024d2e703bfb3152ea1863ec21e4 | 95 | py | Python | src/reverse/tests/reverse_test.py | fugue/zim-example | 861b197ddc1074375bb9437b3282ab3e517b9019 | [
"MIT"
] | null | null | null | src/reverse/tests/reverse_test.py | fugue/zim-example | 861b197ddc1074375bb9437b3282ab3e517b9019 | [
"MIT"
] | null | null | null | src/reverse/tests/reverse_test.py | fugue/zim-example | 861b197ddc1074375bb9437b3282ab3e517b9019 | [
"MIT"
] | 2 | 2021-03-17T03:02:52.000Z | 2021-07-21T23:31:08.000Z | from reverse import reverse_handler
def test_reverse():
assert callable(reverse_handler)
| 15.833333 | 36 | 0.8 | 12 | 95 | 6.083333 | 0.666667 | 0.383562 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.147368 | 95 | 5 | 37 | 19 | 0.901235 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.333333 | 1 | 0.333333 | true | 0 | 0.333333 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
b3b02c56e9e7c16d6ea5281c39183b4a15678f83 | 50,293 | py | Python | pycatia/knowledge_interfaces/report_generation_sheet_setting_att.py | evereux/catia_python | 08948585899b12587b0415ce3c9191a408b34897 | [
"MIT"
] | 90 | 2019-02-21T10:05:28.000Z | 2022-03-19T01:53:41.000Z | pycatia/knowledge_interfaces/report_generation_sheet_setting_att.py | Luanee/pycatia | ea5eef8178f73de12404561c00baf7a7ca30da59 | [
"MIT"
] | 99 | 2019-05-21T08:29:12.000Z | 2022-03-25T09:55:15.000Z | pycatia/knowledge_interfaces/report_generation_sheet_setting_att.py | Luanee/pycatia | ea5eef8178f73de12404561c00baf7a7ca30da59 | [
"MIT"
] | 26 | 2019-04-04T06:31:36.000Z | 2022-03-30T07:24:47.000Z | #! usr/bin/python3.6
"""
Module initially auto generated using V5Automation files from CATIA V5 R28 on 2020-06-11 12:40:47.360445
.. warning::
The notes denoted "CAA V5 Visual Basic Help" are to be used as reference only.
They are there as a guide as to how the visual basic / catscript functions work
and thus help debugging in pycatia.
"""
from pycatia.system_interfaces.setting_controller import SettingController
class ReportGenerationSheetSettingAtt(SettingController):
"""
.. note::
:class: toggle
CAA V5 Visual Basic Help (2020-06-11 12:40:47.360445)
| System.IUnknown
| System.IDispatch
| System.CATBaseUnknown
| System.CATBaseDispatch
| System.AnyObject
| System.SettingController
| ReportGenerationSheetSettingAtt
|
| The interface to access a
| CATIAReportGenerationSheetSettingAtt.
"""
def __init__(self, com_object):
super().__init__(com_object)
self.report_generation_sheet_setting_att = com_object
@property
def all_checks_report(self) -> int:
"""
.. note::
:class: toggle
CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384)
| o Property AllChecksReport() As short
|
| Returns or sets the AllChecksReport parameter.
| Role:Return or Set the AllChecksReport parameter if it is possible in the
| current administrative context. In user mode this method will always return
| E_FAIL.
|
| Parameters:
|
| oAllChecksReport
| Legal values:
| 0 : report of only failed checks
| 1 : report of all checks.
:return: int
:rtype: int
"""
return self.report_generation_sheet_setting_att.AllChecksReport
@all_checks_report.setter
def all_checks_report(self, value: int):
"""
:param int value:
"""
self.report_generation_sheet_setting_att.AllChecksReport = value
@property
def check_report_html(self) -> int:
"""
.. note::
:class: toggle
CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384)
| o Property CheckReportHtml() As short
|
| Returns or sets the CheckReportHtml parameter.
| Role:Return or Set the CheckReportHtml parameter if it is possible in the
| current administrative context. In user mode this method will always return
| E_FAIL.
|
| Parameters:
|
| oCheckReportHtml
| Legal values:
| 0 : to have check report in Xml
| 1 : to have check report in Html.
:return: int
:rtype: int
"""
return self.report_generation_sheet_setting_att.CheckReportHtml
@check_report_html.setter
def check_report_html(self, value: int):
"""
:param int value:
"""
self.report_generation_sheet_setting_att.CheckReportHtml = value
@property
def directory_for_input_xsl(self) -> str:
"""
.. note::
:class: toggle
CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384)
| o Property DirectoryForInputXsl() As CATBSTR
|
| Returns or sets the DirectoryForInputXsl parameter.
| Role:Return or Set the DirectoryForInputXsl parameter if it is possible in
| the current administrative context. In user mode this method will always return
| E_FAIL.
|
| Parameters:
|
| oDirectoryForInputXsl
| Directory for the report file with Xml extension.
:return: str
:rtype: str
"""
return self.report_generation_sheet_setting_att.DirectoryForInputXsl
@directory_for_input_xsl.setter
def directory_for_input_xsl(self, value: str):
"""
:param str value:
"""
self.report_generation_sheet_setting_att.DirectoryForInputXsl = value
@property
def report_check_advisor(self) -> int:
"""
.. note::
:class: toggle
CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384)
| o Property ReportCheckAdvisor() As short
|
| Returns or sets the ReportCheckAdvisor parameter.
| Role:Return or Set the ReportCheckAdvisor parameter if it is possible in
| the current administrative context. In user mode this method will always return
| E_FAIL.
|
| Parameters:
|
| oReportCheckAdvisor
| Legal values:
| 0 : not report of check Advisor
| 1 : report of check Advisor.
:return: int
:rtype: int
"""
return self.report_generation_sheet_setting_att.ReportCheckAdvisor
@report_check_advisor.setter
def report_check_advisor(self, value: int):
"""
:param int value:
"""
self.report_generation_sheet_setting_att.ReportCheckAdvisor = value
@property
def report_check_expert(self) -> int:
"""
.. note::
:class: toggle
CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384)
| o Property ReportCheckExpert() As short
|
| Returns or sets the ReportCheckExpert parameter.
| Role:Return or Set the ReportCheckExpert parameter if it is possible in the
| current administrative context. In user mode this method will always return
| E_FAIL.
|
| Parameters:
|
| oReportCheckExpert
| Legal values:
| 0 : not report of check Advisor
| 1 : report of check Advisor.
:return: int
:rtype: int
"""
return self.report_generation_sheet_setting_att.ReportCheckExpert
@report_check_expert.setter
def report_check_expert(self, value: int):
"""
:param int value:
"""
self.report_generation_sheet_setting_att.ReportCheckExpert = value
@property
def report_html_in_catia_session(self) -> int:
"""
.. note::
:class: toggle
CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384)
| o Property ReportHtmlInCatiaSession() As short
|
| Returns or sets the ReportHtmlInCatiaSession parameter.
| Role:Return or Set the ReportHtmlInCatiaSession parameter if it is possible
| in the current administrative context. In user mode this method will always
| return E_FAIL.
|
| Parameters:
|
| oReportHtmlInCatiaSession
| Legal values:
| 0 : report Html outside CATIA session
| 1 : report Html in CATIA session.
:return: int
:rtype: int
"""
return self.report_generation_sheet_setting_att.ReportHtmlInCatiaSession
@report_html_in_catia_session.setter
def report_html_in_catia_session(self, value: int):
"""
:param int value:
"""
self.report_generation_sheet_setting_att.ReportHtmlInCatiaSession = value
@property
def report_objects_information(self) -> int:
"""
.. note::
:class: toggle
CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384)
| o Property ReportObjectsInformation() As short
|
| Returns or sets the ReportObjectsInformation parameter.
| Role:Return or Set the ReportObjectsInformation parameter if it is possible
| in the current administrative context. In user mode this method will always
| return E_FAIL.
|
| Parameters:
|
| oReportObjectsInformation
| Legal values:
| 0 : not report objects information
| 1 : report objects information.
:return: int
:rtype: int
"""
return self.report_generation_sheet_setting_att.ReportObjectsInformation
@report_objects_information.setter
def report_objects_information(self, value: int):
"""
:param int value:
"""
self.report_generation_sheet_setting_att.ReportObjectsInformation = value
@property
def report_output_directory(self) -> str:
"""
.. note::
:class: toggle
CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384)
| o Property ReportOutputDirectory() As CATBSTR
|
| Returns or sets the ReportOutputDirectory parameter.
| Role:Return or Set the ReportOutputDirectory parameter if it is possible in
| the current administrative context. In user mode this method will always return
| E_FAIL.
|
| Parameters:
|
| oReportOutputDirectory
| The output directory for report of checks expert and checks
| advisor.
:return: str
:rtype: str
"""
return self.report_generation_sheet_setting_att.ReportOutputDirectory
@report_output_directory.setter
def report_output_directory(self, value: str):
"""
:param str value:
"""
self.report_generation_sheet_setting_att.ReportOutputDirectory = value
@property
def report_parameters_information(self) -> int:
"""
.. note::
:class: toggle
CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384)
| o Property ReportParametersInformation() As short
|
| Returns or sets the ReportParametersInformation parameter.
| Role:Return or Set the ReportParametersInformation parameter if it is
| possible in the current administrative context. In user mode this method will
| always return E_FAIL.
|
| Parameters:
|
| oReportParametersInformation
| Legal values:
| 0 : not check Advisor parameter information
| 1 : check Advisor parameter information.
:return: int
:rtype: int
"""
return self.report_generation_sheet_setting_att.ReportParametersInformation
@report_parameters_information.setter
def report_parameters_information(self, value: int):
"""
:param int value:
"""
self.report_generation_sheet_setting_att.ReportParametersInformation = value
@property
def report_passed_objects(self) -> int:
"""
.. note::
:class: toggle
CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384)
| o Property ReportPassedObjects() As short
|
| Returns or sets the ReportPassedObjects parameter.
| Role:Return or Set the ReportPassedObjects parameter if it is possible in
| the current administrative context. In user mode this method will always return
| E_FAIL.
|
| Parameters:
|
| oReportPassedObjects
| Legal values:
| 0 : not report passed objects
| 1 : report passed objects.
:return: int
:rtype: int
"""
return self.report_generation_sheet_setting_att.ReportPassedObjects
@report_passed_objects.setter
def report_passed_objects(self, value: int):
"""
:param int value:
"""
self.report_generation_sheet_setting_att.ReportPassedObjects = value
def get_all_checks_report_info(self, io_admin_level: str, io_locked: str) -> bool:
"""
.. note::
:class: toggle
CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384))
| o Func GetAllChecksReportInfo(CATBSTR ioAdminLevel,
| CATBSTR ioLocked) As boolean
|
| Retrieves environment informations for the AllChecksReport
| parameter.
| Role:Retrieves the state of the AllChecksReport parameter in the current
| environment.
|
| Parameters:
|
| ioAdminLevel
|
| If the parameter is locked, AdminLevel gives the administration
| level that imposes the value of the parameter.
| If the parameter is not locked, AdminLevel gives the administration
| level that will give the value of the parameter after a reset.
|
| ioLocked
| Indicates if the parameter has been locked.
|
| Returns:
| Indicates if the parameter has been explicitly modified or remain to
| the administrated value.
:param str io_admin_level:
:param str io_locked:
:return: bool
:rtype: bool
"""
return self.report_generation_sheet_setting_att.GetAllChecksReportInfo(io_admin_level, io_locked)
def get_check_report_html_info(self, io_admin_level: str, io_locked: str) -> bool:
"""
.. note::
:class: toggle
CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384))
| o Func GetCheckReportHtmlInfo(CATBSTR ioAdminLevel,
| CATBSTR ioLocked) As boolean
|
| Retrieves environment informations for the CheckReportHtml
| parameter.
| Role:Retrieves the state of the CheckReportHtml parameter in the current
| environment.
|
| Parameters:
|
| ioAdminLevel
|
| If the parameter is locked, AdminLevel gives the administration
| level that imposes the value of the parameter.
| If the parameter is not locked, AdminLevel gives the administration
| level that will give the value of the parameter after a reset.
|
| ioLocked
| Indicates if the parameter has been locked.
|
| Returns:
| Indicates if the parameter has been explicitly modified or remain to
| the administrated value.
:param str io_admin_level:
:param str io_locked:
:return: bool
:rtype: bool
"""
return self.report_generation_sheet_setting_att.GetCheckReportHtmlInfo(io_admin_level, io_locked)
def get_directory_for_input_xsl_info(self, io_admin_level: str, io_locked: str) -> bool:
"""
.. note::
:class: toggle
CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384))
| o Func GetDirectoryForInputXslInfo(CATBSTR ioAdminLevel,
| CATBSTR ioLocked) As boolean
|
| Retrieves environment informations for the DirectoryForInputXsl
| parameter.
| Role:Retrieves the state of the DirectoryForInputXsl parameter in the
| current environment.
|
| Parameters:
|
| ioAdminLevel
|
| If the parameter is locked, AdminLevel gives the administration
| level that imposes the value of the parameter.
| If the parameter is not locked, AdminLevel gives the administration
| level that will give the value of the parameter after a reset.
|
| ioLocked
| Indicates if the parameter has been locked.
|
| Returns:
| Indicates if the parameter has been explicitly modified or remain to
| the administrated value.
:param str io_admin_level:
:param str io_locked:
:return: bool
:rtype: bool
"""
return self.report_generation_sheet_setting_att.GetDirectoryForInputXslInfo(io_admin_level, io_locked)
def get_report_check_advisor_info(self, io_admin_level: str, io_locked: str) -> bool:
"""
.. note::
:class: toggle
CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384))
| o Func GetReportCheckAdvisorInfo(CATBSTR ioAdminLevel,
| CATBSTR ioLocked) As boolean
|
| Retrieves environment informations for the ReportCheckAdvisor
| parameter.
| Role:Retrieves the state of the ReportCheckAdvisor parameter in the current
| environment.
|
| Parameters:
|
| ioAdminLevel
|
| If the parameter is locked, AdminLevel gives the administration
| level that imposes the value of the parameter.
| If the parameter is not locked, AdminLevel gives the administration
| level that will give the value of the parameter after a reset.
|
| ioLocked
| Indicates if the parameter has been locked.
|
| Returns:
| Indicates if the parameter has been explicitly modified or remain to
| the administrated value.
:param str io_admin_level:
:param str io_locked:
:return: bool
:rtype: bool
"""
return self.report_generation_sheet_setting_att.GetReportCheckAdvisorInfo(io_admin_level, io_locked)
def get_report_check_expert_info(self, io_admin_level: str, io_locked: str) -> bool:
"""
.. note::
:class: toggle
CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384))
| o Func GetReportCheckExpertInfo(CATBSTR ioAdminLevel,
| CATBSTR ioLocked) As boolean
|
| Retrieves environment informations for the ReportCheckExpert
| parameter.
| Role:Retrieves the state of the ReportCheckExpert parameter in the current
| environment.
|
| Parameters:
|
| ioAdminLevel
|
| If the parameter is locked, AdminLevel gives the administration
| level that imposes the value of the parameter.
| If the parameter is not locked, AdminLevel gives the administration
| level that will give the value of the parameter after a reset.
|
| ioLocked
| Indicates if the parameter has been locked.
|
| Returns:
| Indicates if the parameter has been explicitly modified or remain to
| the administrated value.
:param str io_admin_level:
:param str io_locked:
:return: bool
:rtype: bool
"""
return self.report_generation_sheet_setting_att.GetReportCheckExpertInfo(io_admin_level, io_locked)
def get_report_html_in_catia_session_info(self, io_admin_level: str, io_locked: str) -> bool:
"""
.. note::
:class: toggle
CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384))
| o Func GetReportHtmlInCatiaSessionInfo(CATBSTR ioAdminLevel,
| CATBSTR ioLocked) As boolean
|
| Retrieves environment informations for the ReportHtmlInCatiaSession
| parameter.
| Role:Retrieves the state of the ReportHtmlInCatiaSession parameter in the
| current environment.
|
| Parameters:
|
| ioAdminLevel
|
| If the parameter is locked, AdminLevel gives the administration
| level that imposes the value of the parameter.
| If the parameter is not locked, AdminLevel gives the administration
| level that will give the value of the parameter after a reset.
|
| ioLocked
| Indicates if the parameter has been locked.
|
| Returns:
| Indicates if the parameter has been explicitly modified or remain to
| the administrated value.
:param str io_admin_level:
:param str io_locked:
:return: bool
:rtype: bool
"""
return self.report_generation_sheet_setting_att.GetReportHtmlInCatiaSessionInfo(io_admin_level, io_locked)
def get_report_objects_information_info(self, io_admin_level: str, io_locked: str) -> bool:
"""
.. note::
:class: toggle
CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384))
| o Func GetReportObjectsInformationInfo(CATBSTR ioAdminLevel,
| CATBSTR ioLocked) As boolean
|
| Retrieves environment informations for the ReportObjectsInformation
| parameter.
| Role:Retrieves the state of the ReportObjectsInformation parameter in the
| current environment.
|
| Parameters:
|
| ioAdminLevel
|
| If the parameter is locked, AdminLevel gives the administration
| level that imposes the value of the parameter.
| If the parameter is not locked, AdminLevel gives the administration
| level that will give the value of the parameter after a reset.
|
| ioLocked
| Indicates if the parameter has been locked.
|
| Returns:
| Indicates if the parameter has been explicitly modified or remain to
| the administrated value.
:param str io_admin_level:
:param str io_locked:
:return: bool
:rtype: bool
"""
return self.report_generation_sheet_setting_att.GetReportObjectsInformationInfo(io_admin_level, io_locked)
def get_report_output_directory_info(self, io_admin_level: str, io_locked: str) -> bool:
"""
.. note::
:class: toggle
CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384))
| o Func GetReportOutputDirectoryInfo(CATBSTR ioAdminLevel,
| CATBSTR ioLocked) As boolean
|
| Retrieves environment informations for the ReportOutputDirectory
| parameter.
| Role:Retrieves the state of the ReportOutputDirectory parameter in the
| current environment.
|
| Parameters:
|
| ioAdminLevel
|
| If the parameter is locked, AdminLevel gives the administration
| level that imposes the value of the parameter.
| If the parameter is not locked, AdminLevel gives the administration
| level that will give the value of the parameter after a reset.
|
| ioLocked
| Indicates if the parameter has been locked.
|
| Returns:
| Indicates if the parameter has been explicitly modified or remain to
| the administrated value.
:param str io_admin_level:
:param str io_locked:
:return: bool
:rtype: bool
"""
return self.report_generation_sheet_setting_att.GetReportOutputDirectoryInfo(io_admin_level, io_locked)
def get_report_parameters_information_info(self, io_admin_level: str, io_locked: str) -> bool:
"""
.. note::
:class: toggle
CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384))
| o Func GetReportParametersInformationInfo(CATBSTR
| ioAdminLevel,
| CATBSTR ioLocked) As boolean
|
| Retrieves environment informations for the ReportParametersInformation
| parameter.
| Role:Retrieves the state of the ReportParametersInformation parameter in
| the current environment.
|
| Parameters:
|
| ioAdminLevel
|
| If the parameter is locked, AdminLevel gives the administration
| level that imposes the value of the parameter.
| If the parameter is not locked, AdminLevel gives the administration
| level that will give the value of the parameter after a reset.
|
| ioLocked
| Indicates if the parameter has been locked.
|
| Returns:
| Indicates if the parameter has been explicitly modified or remain to
| the administrated value.
:param str io_admin_level:
:param str io_locked:
:return: bool
:rtype: bool
"""
return self.report_generation_sheet_setting_att.GetReportParametersInformationInfo(io_admin_level, io_locked)
def get_report_passed_objects_info(self, io_admin_level: str, io_locked: str) -> bool:
"""
.. note::
:class: toggle
CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384))
| o Func GetReportPassedObjectsInfo(CATBSTR ioAdminLevel,
| CATBSTR ioLocked) As boolean
|
| Retrieves environment informations for the ReportPassedObjects
| parameter.
| Role:Retrieves the state of the ReportPassedObjects parameter in the
| current environment.
|
| Parameters:
|
| ioAdminLevel
|
| If the parameter is locked, AdminLevel gives the administration
| level that imposes the value of the parameter.
| If the parameter is not locked, AdminLevel gives the administration
| level that will give the value of the parameter after a reset.
|
| ioLocked
| Indicates if the parameter has been locked.
|
| Returns:
| Indicates if the parameter has been explicitly modified or remain to
| the administrated value.
:param str io_admin_level:
:param str io_locked:
:return: bool
:rtype: bool
"""
return self.report_generation_sheet_setting_att.GetReportPassedObjectsInfo(io_admin_level, io_locked)
def set_all_checks_report_lock(self, i_locked: bool) -> None:
"""
.. note::
:class: toggle
CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384))
| o Sub SetAllChecksReportLock(boolean iLocked)
|
| Locks or unlocks the AllChecksReport parameter.
| Role:Locks or unlocks the AllChecksReport parameter if it is possible in
| the current administrative context. In user mode this method will always return
| E_FAIL.
|
| Parameters:
|
| iLocked
| the locking operation to be performed Legal
| values:
| TRUE : to lock the parameter.
| FALSE: to unlock the parameter.
:param bool i_locked:
:return: None
:rtype: None
"""
return self.report_generation_sheet_setting_att.SetAllChecksReportLock(i_locked)
# # # # Autogenerated comment:
# # some methods require a system service call as the methods expects a vb array object
# # passed to it and there is no way to do this directly with python. In those cases the following code
# # should be uncommented and edited accordingly. Otherwise completely remove all this.
# # vba_function_name = 'set_all_checks_report_lock'
# # vba_code = """
# # Public Function set_all_checks_report_lock(report_generation_sheet_setting_att)
# # Dim iLocked (2)
# # report_generation_sheet_setting_att.SetAllChecksReportLock iLocked
# # set_all_checks_report_lock = iLocked
# # End Function
# # """
# # system_service = self.application.system_service
# # return system_service.evaluate(vba_code, 0, vba_function_name, [self.com_object])
def set_check_report_html_lock(self, i_locked: bool) -> None:
"""
.. note::
:class: toggle
CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384))
| o Sub SetCheckReportHtmlLock(boolean iLocked)
|
| Locks or unlocks the CheckReportHtml parameter.
| Role:Locks or unlocks the CheckReportHtml parameter if it is possible in
| the current administrative context. In user mode this method will always return
| E_FAIL.
|
| Parameters:
|
| iLocked
| the locking operation to be performed Legal
| values:
| TRUE : to lock the parameter.
| FALSE: to unlock the parameter.
:param bool i_locked:
:return: None
:rtype: None
"""
return self.report_generation_sheet_setting_att.SetCheckReportHtmlLock(i_locked)
# # # # Autogenerated comment:
# # some methods require a system service call as the methods expects a vb array object
# # passed to it and there is no way to do this directly with python. In those cases the following code
# # should be uncommented and edited accordingly. Otherwise completely remove all this.
# # vba_function_name = 'set_check_report_html_lock'
# # vba_code = """
# # Public Function set_check_report_html_lock(report_generation_sheet_setting_att)
# # Dim iLocked (2)
# # report_generation_sheet_setting_att.SetCheckReportHtmlLock iLocked
# # set_check_report_html_lock = iLocked
# # End Function
# # """
# # system_service = self.application.system_service
# # return system_service.evaluate(vba_code, 0, vba_function_name, [self.com_object])
def set_directory_for_input_xsl_lock(self, i_locked: bool) -> None:
"""
.. note::
:class: toggle
CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384))
| o Sub SetDirectoryForInputXslLock(boolean iLocked)
|
| Locks or unlocks the DirectoryForInputXsl parameter.
| Role:Locks or unlocks the DirectoryForInputXsl parameter if it is possible
| in the current administrative context. In user mode this method will always
| return E_FAIL.
|
| Parameters:
|
| iLocked
| the locking operation to be performed Legal
| values:
| TRUE : to lock the parameter.
| FALSE: to unlock the parameter.
:param bool i_locked:
:return: None
:rtype: None
"""
return self.report_generation_sheet_setting_att.SetDirectoryForInputXslLock(i_locked)
# # # # Autogenerated comment:
# # some methods require a system service call as the methods expects a vb array object
# # passed to it and there is no way to do this directly with python. In those cases the following code
# # should be uncommented and edited accordingly. Otherwise completely remove all this.
# # vba_function_name = 'set_directory_for_input_xsl_lock'
# # vba_code = """
# # Public Function set_directory_for_input_xsl_lock(report_generation_sheet_setting_att)
# # Dim iLocked (2)
# # report_generation_sheet_setting_att.SetDirectoryForInputXslLock iLocked
# # set_directory_for_input_xsl_lock = iLocked
# # End Function
# # """
# # system_service = self.application.system_service
# # return system_service.evaluate(vba_code, 0, vba_function_name, [self.com_object])
def set_report_check_advisor_lock(self, i_locked: bool) -> None:
"""
.. note::
:class: toggle
CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384))
| o Sub SetReportCheckAdvisorLock(boolean iLocked)
|
| Locks or unlocks the ReportCheckAdvisor parameter.
| Role:Locks or unlocks the ReportCheckAdvisor parameter if it is possible in
| the current administrative context. In user mode this method will always return
| E_FAIL.
|
| Parameters:
|
| iLocked
| the locking operation to be performed Legal
| values:
| TRUE : to lock the parameter.
| FALSE: to unlock the parameter.
:param bool i_locked:
:return: None
:rtype: None
"""
return self.report_generation_sheet_setting_att.SetReportCheckAdvisorLock(i_locked)
# # # # Autogenerated comment:
# # some methods require a system service call as the methods expects a vb array object
# # passed to it and there is no way to do this directly with python. In those cases the following code
# # should be uncommented and edited accordingly. Otherwise completely remove all this.
# # vba_function_name = 'set_report_check_advisor_lock'
# # vba_code = """
# # Public Function set_report_check_advisor_lock(report_generation_sheet_setting_att)
# # Dim iLocked (2)
# # report_generation_sheet_setting_att.SetReportCheckAdvisorLock iLocked
# # set_report_check_advisor_lock = iLocked
# # End Function
# # """
# # system_service = self.application.system_service
# # return system_service.evaluate(vba_code, 0, vba_function_name, [self.com_object])
def set_report_check_expert_lock(self, i_locked: bool) -> None:
"""
.. note::
:class: toggle
CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384))
| o Sub SetReportCheckExpertLock(boolean iLocked)
|
| Locks or unlocks the ReportCheckExpert parameter.
| Role:Locks or unlocks the ReportCheckExpert parameter if it is possible in
| the current administrative context. In user mode this method will always return
| E_FAIL.
|
| Parameters:
|
| iLocked
| the locking operation to be performed Legal
| values:
| TRUE : to lock the parameter.
| FALSE: to unlock the parameter.
:param bool i_locked:
:return: None
:rtype: None
"""
return self.report_generation_sheet_setting_att.SetReportCheckExpertLock(i_locked)
# # # # Autogenerated comment:
# # some methods require a system service call as the methods expects a vb array object
# # passed to it and there is no way to do this directly with python. In those cases the following code
# # should be uncommented and edited accordingly. Otherwise completely remove all this.
# # vba_function_name = 'set_report_check_expert_lock'
# # vba_code = """
# # Public Function set_report_check_expert_lock(report_generation_sheet_setting_att)
# # Dim iLocked (2)
# # report_generation_sheet_setting_att.SetReportCheckExpertLock iLocked
# # set_report_check_expert_lock = iLocked
# # End Function
# # """
# # system_service = self.application.system_service
# # return system_service.evaluate(vba_code, 0, vba_function_name, [self.com_object])
def set_report_html_in_catia_session_lock(self, i_locked: bool) -> None:
"""
.. note::
:class: toggle
CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384))
| o Sub SetReportHtmlInCatiaSessionLock(boolean iLocked)
|
| Locks or unlocks the ReportHtmlInCatiaSession parameter.
| Role:Locks or unlocks the ReportHtmlInCatiaSession parameter if it is
| possible in the current administrative context. In user mode this method will
| always return E_FAIL.
|
| Parameters:
|
| iLocked
| the locking operation to be performed Legal
| values:
| TRUE : to lock the parameter.
| FALSE: to unlock the parameter.
:param bool i_locked:
:return: None
:rtype: None
"""
return self.report_generation_sheet_setting_att.SetReportHtmlInCatiaSessionLock(i_locked)
# # # # Autogenerated comment:
# # some methods require a system service call as the methods expects a vb array object
# # passed to it and there is no way to do this directly with python. In those cases the following code
# # should be uncommented and edited accordingly. Otherwise completely remove all this.
# # vba_function_name = 'set_report_html_in_catia_session_lock'
# # vba_code = """
# # Public Function set_report_html_in_catia_session_lock(report_generation_sheet_setting_att)
# # Dim iLocked (2)
# # report_generation_sheet_setting_att.SetReportHtmlInCatiaSessionLock iLocked
# # set_report_html_in_catia_session_lock = iLocked
# # End Function
# # """
# # system_service = self.application.system_service
# # return system_service.evaluate(vba_code, 0, vba_function_name, [self.com_object])
def set_report_objects_information_lock(self, i_locked: bool) -> None:
"""
.. note::
:class: toggle
CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384))
| o Sub SetReportObjectsInformationLock(boolean iLocked)
|
| Locks or unlocks the ReportObjectsInformation parameter.
| Role:Locks or unlocks the ReportObjectsInformation parameter if it is
| possible in the current administrative context. In user mode this method will
| always return E_FAIL.
|
| Parameters:
|
| iLocked
| the locking operation to be performed Legal
| values:
| TRUE : to lock the parameter.
| FALSE: to unlock the parameter.
:param bool i_locked:
:return: None
:rtype: None
"""
return self.report_generation_sheet_setting_att.SetReportObjectsInformationLock(i_locked)
# # # # Autogenerated comment:
# # some methods require a system service call as the methods expects a vb array object
# # passed to it and there is no way to do this directly with python. In those cases the following code
# # should be uncommented and edited accordingly. Otherwise completely remove all this.
# # vba_function_name = 'set_report_objects_information_lock'
# # vba_code = """
# # Public Function set_report_objects_information_lock(report_generation_sheet_setting_att)
# # Dim iLocked (2)
# # report_generation_sheet_setting_att.SetReportObjectsInformationLock iLocked
# # set_report_objects_information_lock = iLocked
# # End Function
# # """
# # system_service = self.application.system_service
# # return system_service.evaluate(vba_code, 0, vba_function_name, [self.com_object])
def set_report_output_directory_lock(self, i_locked: bool) -> None:
"""
.. note::
:class: toggle
CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384))
| o Sub SetReportOutputDirectoryLock(boolean iLocked)
|
| Locks or unlocks the ReportOutputDirectory parameter.
| Role:Locks or unlocks the ReportOutputDirectory parameter if it is possible
| in the current administrative context. In user mode this method will always
| return E_FAIL.
|
| Parameters:
|
| iLocked
| the locking operation to be performed Legal
| values:
| TRUE : to lock the parameter.
| FALSE: to unlock the parameter.
:param bool i_locked:
:return: None
:rtype: None
"""
return self.report_generation_sheet_setting_att.SetReportOutputDirectoryLock(i_locked)
# # # # Autogenerated comment:
# # some methods require a system service call as the methods expects a vb array object
# # passed to it and there is no way to do this directly with python. In those cases the following code
# # should be uncommented and edited accordingly. Otherwise completely remove all this.
# # vba_function_name = 'set_report_output_directory_lock'
# # vba_code = """
# # Public Function set_report_output_directory_lock(report_generation_sheet_setting_att)
# # Dim iLocked (2)
# # report_generation_sheet_setting_att.SetReportOutputDirectoryLock iLocked
# # set_report_output_directory_lock = iLocked
# # End Function
# # """
# # system_service = self.application.system_service
# # return system_service.evaluate(vba_code, 0, vba_function_name, [self.com_object])
def set_report_parameters_information_lock(self, i_locked: bool) -> None:
"""
.. note::
:class: toggle
CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384))
| o Sub SetReportParametersInformationLock(boolean iLocked)
|
| Locks or unlocks the ReportParametersInformation
| parameter.
| Role:Locks or unlocks the ReportParametersInformation parameter if it is
| possible in the current administrative context. In user mode this method will
| always return E_FAIL.
|
| Parameters:
|
| iLocked
| the locking operation to be performed Legal
| values:
| TRUE : to lock the parameter.
| FALSE: to unlock the parameter.
:param bool i_locked:
:return: None
:rtype: None
"""
return self.report_generation_sheet_setting_att.SetReportParametersInformationLock(i_locked)
# # # # Autogenerated comment:
# # some methods require a system service call as the methods expects a vb array object
# # passed to it and there is no way to do this directly with python. In those cases the following code
# # should be uncommented and edited accordingly. Otherwise completely remove all this.
# # vba_function_name = 'set_report_parameters_information_lock'
# # vba_code = """
# # Public Function set_report_parameters_information_lock(report_generation_sheet_setting_att)
# # Dim iLocked (2)
# # report_generation_sheet_setting_att.SetReportParametersInformationLock iLocked
# # set_report_parameters_information_lock = iLocked
# # End Function
# # """
# # system_service = self.application.system_service
# # return system_service.evaluate(vba_code, 0, vba_function_name, [self.com_object])
def set_report_passed_objects_lock(self, i_locked: bool) -> None:
"""
.. note::
:class: toggle
CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384))
| o Sub SetReportPassedObjectsLock(boolean iLocked)
|
| Locks or unlocks the ReportPassedObjects parameter.
| Role:Locks or unlocks the ReportPassedObjects parameter if it is possible
| in the current administrative context. In user mode this method will always
| return E_FAIL.
|
| Parameters:
|
| iLocked
| the locking operation to be performed Legal
| values:
| TRUE : to lock the parameter.
| FALSE: to unlock the parameter.
:param bool i_locked:
:return: None
:rtype: None
"""
return self.report_generation_sheet_setting_att.SetReportPassedObjectsLock(i_locked)
# # # # Autogenerated comment:
# # some methods require a system service call as the methods expects a vb array object
# # passed to it and there is no way to do this directly with python. In those cases the following code
# # should be uncommented and edited accordingly. Otherwise completely remove all this.
# # vba_function_name = 'set_report_passed_objects_lock'
# # vba_code = """
# # Public Function set_report_passed_objects_lock(report_generation_sheet_setting_att)
# # Dim iLocked (2)
# # report_generation_sheet_setting_att.SetReportPassedObjectsLock iLocked
# # set_report_passed_objects_lock = iLocked
# # End Function
# # """
# # system_service = self.application.system_service
# # return system_service.evaluate(vba_code, 0, vba_function_name, [self.com_object])
def __repr__(self):
return f'ReportGenerationSheetSettingAtt(name="{self.name}")'
| 42.621186 | 117 | 0.543793 | 4,788 | 50,293 | 5.548037 | 0.055347 | 0.036139 | 0.048223 | 0.064298 | 0.874529 | 0.839407 | 0.76167 | 0.721202 | 0.708854 | 0.7046 | 0 | 0.023641 | 0.399479 | 50,293 | 1,179 | 118 | 42.657337 | 0.855904 | 0.695524 | 0 | 0.093458 | 1 | 0 | 0.005829 | 0.005829 | 0 | 0 | 0 | 0 | 0 | 1 | 0.392523 | false | 0.084112 | 0.009346 | 0.009346 | 0.700935 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 10 |
b3c4a43dc7b73ae5c936f9d4b0ca7d382bdc2a72 | 218 | py | Python | mev/api/converters/mixins.py | hsph-qbrc/mev-backend | c381800aa7d53d7256e89a4db5a0f9444264e9a6 | [
"MIT"
] | 2 | 2021-11-15T08:11:59.000Z | 2022-03-12T05:24:23.000Z | mev/api/converters/mixins.py | hsph-qbrc/mev-backend | c381800aa7d53d7256e89a4db5a0f9444264e9a6 | [
"MIT"
] | 37 | 2020-08-03T14:57:02.000Z | 2022-02-25T19:56:40.000Z | mev/api/converters/mixins.py | hsph-qbrc/mev-backend | c381800aa7d53d7256e89a4db5a0f9444264e9a6 | [
"MIT"
] | 2 | 2021-07-12T03:22:52.000Z | 2021-11-15T08:12:01.000Z | class CsvMixin(object):
def to_string(self, items):
return ','.join([str(x) for x in items])
class SpaceDelimMixin(object):
def to_string(self, items):
return ' '.join([str(x) for x in items]) | 27.25 | 48 | 0.62844 | 32 | 218 | 4.21875 | 0.46875 | 0.133333 | 0.162963 | 0.251852 | 0.755556 | 0.755556 | 0.755556 | 0.755556 | 0.755556 | 0.755556 | 0 | 0 | 0.220183 | 218 | 8 | 49 | 27.25 | 0.794118 | 0 | 0 | 0.333333 | 0 | 0 | 0.009132 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0 | 0.333333 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 10 |
b3cb5ad29e3bc0d2259f7caad6a409b3da1acfae | 36 | py | Python | boa3_test/test_sc/built_in_methods_test/PrintList.py | hal0x2328/neo3-boa | 6825a3533384cb01660773050719402a9703065b | [
"Apache-2.0"
] | 25 | 2020-07-22T19:37:43.000Z | 2022-03-08T03:23:55.000Z | boa3_test/test_sc/built_in_methods_test/PrintList.py | hal0x2328/neo3-boa | 6825a3533384cb01660773050719402a9703065b | [
"Apache-2.0"
] | 419 | 2020-04-23T17:48:14.000Z | 2022-03-31T13:17:45.000Z | boa3_test/test_sc/built_in_methods_test/PrintList.py | hal0x2328/neo3-boa | 6825a3533384cb01660773050719402a9703065b | [
"Apache-2.0"
] | 15 | 2020-05-21T21:54:24.000Z | 2021-11-18T06:17:24.000Z | def Main():
print([1, 2, 3, 4])
| 12 | 23 | 0.444444 | 7 | 36 | 2.285714 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.153846 | 0.277778 | 36 | 2 | 24 | 18 | 0.461538 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.5 | true | 0 | 0 | 0 | 0.5 | 0.5 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 |
b3e97b1e8f1e500c5b3c555f1b92ef271a76f7cd | 37,640 | py | Python | mysite/patterns/50.py | BioinfoNet/prepub | e19c48cabf8bd22736dcef9308a5e196cfd8119a | [
"MIT"
] | 19 | 2016-06-17T23:36:27.000Z | 2020-01-13T16:41:55.000Z | mysite/patterns/50.py | BioinfoNet/prepub | e19c48cabf8bd22736dcef9308a5e196cfd8119a | [
"MIT"
] | 13 | 2016-06-06T12:57:05.000Z | 2019-02-05T02:21:00.000Z | patterns/50.py | OmnesRes/GRIMMER | 173c99ebdb6a9edb1242d24a791d0c5d778ff643 | [
"MIT"
] | 7 | 2017-03-28T18:12:22.000Z | 2021-06-16T09:32:59.000Z | pattern_zero=[0.0, 0.0196, 0.0384, 0.04, 0.0564, 0.0596, 0.0736, 0.0784, 0.08, 0.09, 0.0964, 0.0996, 0.1056, 0.1136, 0.1184, 0.12, 0.1204, 0.13, 0.1344, 0.1364, 0.1396, 0.1456, 0.1476, 0.1536, 0.1584, 0.16, 0.1604, 0.17, 0.1716, 0.1744, 0.1764, 0.1796, 0.1824, 0.1856, 0.1876, 0.1924, 0.1936, 0.1984, 0.2, 0.2004, 0.2016, 0.21, 0.2116, 0.2144, 0.2164, 0.2176, 0.2196, 0.2224, 0.2244, 0.2256, 0.2276, 0.2304, 0.2324, 0.2336, 0.2356, 0.2384, 0.24, 0.2404, 0.2416, 0.2436, 0.2464, 0.2484, 0.2496, 0.25, 0.2516, 0.2544, 0.2564, 0.2576, 0.2596, 0.2624, 0.2644, 0.2656, 0.2676, 0.2704, 0.2724, 0.2736, 0.2756, 0.2784, 0.28, 0.2804, 0.2816, 0.2836, 0.2864, 0.2884, 0.2896, 0.29, 0.2916, 0.2944, 0.2964, 0.2976, 0.2996, 0.3024, 0.3044, 0.3056, 0.3076, 0.3104, 0.3124, 0.3136, 0.3156, 0.3184, 0.32, 0.3204, 0.3216, 0.3236, 0.3264, 0.3284, 0.3296, 0.33, 0.3316, 0.3344, 0.3364, 0.3376, 0.3396, 0.3424, 0.3444, 0.3456, 0.3476, 0.3504, 0.3524, 0.3536, 0.3556, 0.3584, 0.36, 0.3604, 0.3616, 0.3636, 0.3664, 0.3684, 0.3696, 0.37, 0.3716, 0.3744, 0.3764, 0.3776, 0.3796, 0.3824, 0.3844, 0.3856, 0.3876, 0.3904, 0.3924, 0.3936, 0.3956, 0.3984, 0.4, 0.4004, 0.4016, 0.4036, 0.4064, 0.4084, 0.4096, 0.41, 0.4116, 0.4144, 0.4164, 0.4176, 0.4196, 0.4224, 0.4244, 0.4256, 0.4276, 0.4304, 0.4324, 0.4336, 0.4356, 0.4384, 0.44, 0.4404, 0.4416, 0.4436, 0.4464, 0.4484, 0.4496, 0.45, 0.4516, 0.4544, 0.4564, 0.4576, 0.4596, 0.4624, 0.4644, 0.4656, 0.4676, 0.4704, 0.4724, 0.4736, 0.4756, 0.4784, 0.48, 0.4804, 0.4816, 0.4836, 0.4864, 0.4884, 0.4896, 0.49, 0.4916, 0.4944, 0.4964, 0.4976, 0.4996, 0.5024, 0.5044, 0.5056, 0.5076, 0.5104, 0.5124, 0.5136, 0.5156, 0.5184, 0.52, 0.5204, 0.5216, 0.5236, 0.5264, 0.5284, 0.5296, 0.53, 0.5316, 0.5344, 0.5364, 0.5376, 0.5396, 0.5424, 0.5444, 0.5456, 0.5476, 0.5504, 0.5524, 0.5536, 0.5556, 0.5584, 0.56, 0.5604, 0.5616, 0.5636, 0.5664, 0.5684, 0.5696, 0.57, 0.5716, 0.5744, 0.5764, 0.5776, 0.5796, 0.5824, 0.5844, 0.5856, 0.5876, 0.5904, 0.5924, 0.5936, 0.5956, 0.5984, 0.6, 0.6004, 0.6016, 0.6036, 0.6064, 0.6084, 0.6096, 0.61, 0.6116, 0.6144, 0.6164, 0.6176, 0.6196, 0.6224, 0.6244, 0.6256, 0.6276, 0.6304, 0.6324, 0.6336, 0.6356, 0.6384, 0.64, 0.6404, 0.6416, 0.6436, 0.6464, 0.6484, 0.6496, 0.65, 0.6516, 0.6544, 0.6564, 0.6576, 0.6596, 0.6624, 0.6644, 0.6656, 0.6676, 0.6704, 0.6724, 0.6736, 0.6756, 0.6784, 0.68, 0.6804, 0.6816, 0.6836, 0.6864, 0.6884, 0.6896, 0.69, 0.6916, 0.6944, 0.6964, 0.6976, 0.6996, 0.7024, 0.7044, 0.7056, 0.7076, 0.7104, 0.7124, 0.7136, 0.7156, 0.7184, 0.72, 0.7204, 0.7216, 0.7236, 0.7264, 0.7284, 0.7296, 0.73, 0.7316, 0.7344, 0.7364, 0.7376, 0.7396, 0.7424, 0.7444, 0.7456, 0.7476, 0.7504, 0.7524, 0.7536, 0.7556, 0.7584, 0.76, 0.7604, 0.7616, 0.7636, 0.7664, 0.7684, 0.7696, 0.77, 0.7716, 0.7744, 0.7764, 0.7776, 0.7796, 0.7824, 0.7844, 0.7856, 0.7876, 0.7904, 0.7924, 0.7936, 0.7956, 0.7984, 0.8, 0.8004, 0.8016, 0.8036, 0.8064, 0.8084, 0.8096, 0.81, 0.8116, 0.8144, 0.8164, 0.8176, 0.8196, 0.8224, 0.8244, 0.8256, 0.8276, 0.8304, 0.8324, 0.8336, 0.8356, 0.8384, 0.84, 0.8404, 0.8416, 0.8436, 0.8464, 0.8484, 0.8496, 0.85, 0.8516, 0.8544, 0.8564, 0.8576, 0.8596, 0.8624, 0.8644, 0.8656, 0.8676, 0.8704, 0.8724, 0.8736, 0.8756, 0.8784, 0.88, 0.8804, 0.8816, 0.8836, 0.8864, 0.8884, 0.8896, 0.89, 0.8916, 0.8944, 0.8964, 0.8976, 0.8996, 0.9024, 0.9044, 0.9056, 0.9076, 0.9104, 0.9124, 0.9136, 0.9156, 0.9184, 0.92, 0.9204, 0.9216, 0.9236, 0.9264, 0.9284, 0.9296, 0.93, 0.9316, 0.9344, 0.9364, 0.9376, 0.9396, 0.9424, 0.9444, 0.9456, 0.9476, 0.9504, 0.9524, 0.9536, 0.9556, 0.9584, 0.96, 0.9604, 0.9616, 0.9636, 0.9664, 0.9684, 0.9696, 0.97, 0.9716, 0.9744, 0.9764, 0.9776, 0.9796, 0.9824, 0.9844, 0.9856, 0.9876, 0.9904, 0.9924, 0.9936, 0.9956, 0.9984]
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0.24], 0.7536: [0.92, 0.08], 0.7076: [0.18, 0.82], 0.8096: [0.52, 0.48], 0.73: [0.5, 0.7, 0.9, 0.3, 0.1], 0.6976: [0.68, 0.32], 0.5136: [0.92, 0.08], 0.97: [0.5, 0.7, 0.9, 0.3, 0.1], 0.3236: [0.42, 0.58], 0.4996: [0.02, 0.98], 0.0976: [0.68, 0.32], 0.4256: [0.88, 0.12], 0.5456: [0.88, 0.12], 0.4864: [0.44, 0.56], 0.6864: [0.44, 0.56], 0.3444: [0.34, 0.66], 0.5184: [0.04, 0.96], 0.2704: [0.36, 0.64], 0.8224: [0.76, 0.24], 0.8976: [0.68, 0.32], 0.1316: [0.22, 0.78], 0.65: [0.5, 0.7, 0.9, 0.3, 0.1], 0.2196: [0.02, 0.98], 0.33: [0.5, 0.7, 0.9, 0.3, 0.1], 0.8196: [0.02, 0.98], 0.1204: [0.86, 0.14], 0.8564: [0.94, 0.06], 0.8496: [0.52, 0.48], 0.5536: [0.92, 0.08], 0.4176: [0.68, 0.32], 0.9056: [0.88, 0.12], 0.3716: [0.22, 0.78], 0.1856: [0.88, 0.12], 0.2624: [0.76, 0.24], 0.2976: [0.68, 0.32], 0.0096: [0.52, 0.48], 0.4384: [0.04, 0.96], 0.4416: [0.28, 0.72], 0.7424: [0.76, 0.24], 0.8624: [0.76, 0.24], 0.7376: [0.68, 0.32], 0.5664: [0.44, 0.56], 0.7716: [0.22, 0.78], 0.9184: [0.04, 0.96], 0.8064: [0.44, 0.56], 0.5204: [0.86, 0.14], 0.3584: [0.04, 0.96], 0.1556: [0.38, 0.62], 0.8276: [0.18, 0.82], 0.9124: [0.26, 0.74], 0.8084: [0.54, 0.46], 0.6484: [0.54, 0.46], 0.08: [0.0, 0.2, 0.6, 0.8, 0.4], 0.24: [0.0, 0.2, 0.6, 0.8, 0.4], 0.5936: [0.92, 0.08], 0.9456: [0.88, 0.12], 0.5476: [0.18, 0.82], 0.2896: [0.52, 0.48], 0.6496: [0.52, 0.48], 0.4656: [0.88, 0.12], 0.5824: [0.76, 0.24], 0.3844: [0.34, 0.66], 0.4196: [0.02, 0.98], 0.3104: [0.36, 0.64], 0.1984: [0.04, 0.96], 0.0304: [0.36, 0.64], 0.9344: [0.84, 0.16], 0.6064: [0.44, 0.56], 0.9584: [0.04, 0.96], 0.32: [0.0, 0.2, 0.6, 0.8, 0.4], 0.5604: [0.86, 0.14], 0.6624: [0.76, 0.24], 0.6164: [0.94, 0.06]} | 7,528 | 12,659 | 0.528932 | 10,358 | 37,640 | 1.921606 | 0.055995 | 0.011053 | 0.00829 | 0.010048 | 0.995277 | 0.991811 | 0.991811 | 0.990454 | 0.990454 | 0.988646 | 0 | 0.611359 | 0.137434 | 37,640 | 5 | 12,660 | 7,528 | 0.001694 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 12 |
37599644942943f1eaffa0e70b969e1c231dc671 | 83 | py | Python | insomnia/models/__init__.py | takeru1205/Insomnia | 72f78db5dc7b9c6e494f31408e0a011606275291 | [
"MIT"
] | null | null | null | insomnia/models/__init__.py | takeru1205/Insomnia | 72f78db5dc7b9c6e494f31408e0a011606275291 | [
"MIT"
] | 3 | 2019-12-02T01:59:09.000Z | 2020-12-15T09:44:33.000Z | insomnia/models/__init__.py | takeru1205/Insomnia | 72f78db5dc7b9c6e494f31408e0a011606275291 | [
"MIT"
] | null | null | null | from insomnia.models import ddpg
from insomnia.models import dqn
from . import dqn
| 20.75 | 32 | 0.819277 | 13 | 83 | 5.230769 | 0.461538 | 0.352941 | 0.529412 | 0.705882 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.144578 | 83 | 3 | 33 | 27.666667 | 0.957746 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 7 |
37a96942a3571b29b28d3cab66defb3c2874cc64 | 16,709 | py | Python | sdk/python/pulumi_oci/database/exadata_iorm_config.py | EladGabay/pulumi-oci | 6841e27d4a1a7e15c672306b769912efbfd3ba99 | [
"ECL-2.0",
"Apache-2.0"
] | 5 | 2021-08-17T11:14:46.000Z | 2021-12-31T02:07:03.000Z | sdk/python/pulumi_oci/database/exadata_iorm_config.py | pulumi-oci/pulumi-oci | 6841e27d4a1a7e15c672306b769912efbfd3ba99 | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2021-09-06T11:21:29.000Z | 2021-09-06T11:21:29.000Z | sdk/python/pulumi_oci/database/exadata_iorm_config.py | pulumi-oci/pulumi-oci | 6841e27d4a1a7e15c672306b769912efbfd3ba99 | [
"ECL-2.0",
"Apache-2.0"
] | 2 | 2021-08-24T23:31:30.000Z | 2022-01-02T19:26:54.000Z | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities
from . import outputs
from ._inputs import *
__all__ = ['ExadataIormConfigArgs', 'ExadataIormConfig']
@pulumi.input_type
class ExadataIormConfigArgs:
def __init__(__self__, *,
db_plans: pulumi.Input[Sequence[pulumi.Input['ExadataIormConfigDbPlanArgs']]],
db_system_id: pulumi.Input[str],
objective: Optional[pulumi.Input[str]] = None):
"""
The set of arguments for constructing a ExadataIormConfig resource.
:param pulumi.Input[Sequence[pulumi.Input['ExadataIormConfigDbPlanArgs']]] db_plans: (Updatable) Array of IORM Setting for all the database in this Exadata DB System
:param pulumi.Input[str] db_system_id: (Updatable) The DB system [OCID](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm).
:param pulumi.Input[str] objective: (Updatable) Value for the IORM objective Default is "Auto"
"""
pulumi.set(__self__, "db_plans", db_plans)
pulumi.set(__self__, "db_system_id", db_system_id)
if objective is not None:
pulumi.set(__self__, "objective", objective)
@property
@pulumi.getter(name="dbPlans")
def db_plans(self) -> pulumi.Input[Sequence[pulumi.Input['ExadataIormConfigDbPlanArgs']]]:
"""
(Updatable) Array of IORM Setting for all the database in this Exadata DB System
"""
return pulumi.get(self, "db_plans")
@db_plans.setter
def db_plans(self, value: pulumi.Input[Sequence[pulumi.Input['ExadataIormConfigDbPlanArgs']]]):
pulumi.set(self, "db_plans", value)
@property
@pulumi.getter(name="dbSystemId")
def db_system_id(self) -> pulumi.Input[str]:
"""
(Updatable) The DB system [OCID](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm).
"""
return pulumi.get(self, "db_system_id")
@db_system_id.setter
def db_system_id(self, value: pulumi.Input[str]):
pulumi.set(self, "db_system_id", value)
@property
@pulumi.getter
def objective(self) -> Optional[pulumi.Input[str]]:
"""
(Updatable) Value for the IORM objective Default is "Auto"
"""
return pulumi.get(self, "objective")
@objective.setter
def objective(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "objective", value)
@pulumi.input_type
class _ExadataIormConfigState:
def __init__(__self__, *,
db_plans: Optional[pulumi.Input[Sequence[pulumi.Input['ExadataIormConfigDbPlanArgs']]]] = None,
db_system_id: Optional[pulumi.Input[str]] = None,
lifecycle_details: Optional[pulumi.Input[str]] = None,
objective: Optional[pulumi.Input[str]] = None,
state: Optional[pulumi.Input[str]] = None):
"""
Input properties used for looking up and filtering ExadataIormConfig resources.
:param pulumi.Input[Sequence[pulumi.Input['ExadataIormConfigDbPlanArgs']]] db_plans: (Updatable) Array of IORM Setting for all the database in this Exadata DB System
:param pulumi.Input[str] db_system_id: (Updatable) The DB system [OCID](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm).
:param pulumi.Input[str] lifecycle_details: Additional information about the current `lifecycleState`.
:param pulumi.Input[str] objective: (Updatable) Value for the IORM objective Default is "Auto"
:param pulumi.Input[str] state: The current state of IORM configuration for the Exadata DB system.
"""
if db_plans is not None:
pulumi.set(__self__, "db_plans", db_plans)
if db_system_id is not None:
pulumi.set(__self__, "db_system_id", db_system_id)
if lifecycle_details is not None:
pulumi.set(__self__, "lifecycle_details", lifecycle_details)
if objective is not None:
pulumi.set(__self__, "objective", objective)
if state is not None:
pulumi.set(__self__, "state", state)
@property
@pulumi.getter(name="dbPlans")
def db_plans(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['ExadataIormConfigDbPlanArgs']]]]:
"""
(Updatable) Array of IORM Setting for all the database in this Exadata DB System
"""
return pulumi.get(self, "db_plans")
@db_plans.setter
def db_plans(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['ExadataIormConfigDbPlanArgs']]]]):
pulumi.set(self, "db_plans", value)
@property
@pulumi.getter(name="dbSystemId")
def db_system_id(self) -> Optional[pulumi.Input[str]]:
"""
(Updatable) The DB system [OCID](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm).
"""
return pulumi.get(self, "db_system_id")
@db_system_id.setter
def db_system_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "db_system_id", value)
@property
@pulumi.getter(name="lifecycleDetails")
def lifecycle_details(self) -> Optional[pulumi.Input[str]]:
"""
Additional information about the current `lifecycleState`.
"""
return pulumi.get(self, "lifecycle_details")
@lifecycle_details.setter
def lifecycle_details(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "lifecycle_details", value)
@property
@pulumi.getter
def objective(self) -> Optional[pulumi.Input[str]]:
"""
(Updatable) Value for the IORM objective Default is "Auto"
"""
return pulumi.get(self, "objective")
@objective.setter
def objective(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "objective", value)
@property
@pulumi.getter
def state(self) -> Optional[pulumi.Input[str]]:
"""
The current state of IORM configuration for the Exadata DB system.
"""
return pulumi.get(self, "state")
@state.setter
def state(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "state", value)
class ExadataIormConfig(pulumi.CustomResource):
@overload
def __init__(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
db_plans: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['ExadataIormConfigDbPlanArgs']]]]] = None,
db_system_id: Optional[pulumi.Input[str]] = None,
objective: Optional[pulumi.Input[str]] = None,
__props__=None):
"""
This resource provides the Exadata Iorm Config resource in Oracle Cloud Infrastructure Database service.
Updates IORM settings for the specified Exadata DB system.
**Note:** Deprecated for Exadata Cloud Service systems. Use the [new resource model APIs](https://docs.cloud.oracle.com/iaas/Content/Database/Concepts/exaflexsystem.htm#exaflexsystem_topic-resource_model) instead.
For Exadata Cloud Service instances, support for this API will end on May 15th, 2021. See [Switching an Exadata DB System to the New Resource Model and APIs](https://docs.cloud.oracle.com/iaas/Content/Database/Concepts/exaflexsystem_topic-resource_model_conversion.htm) for details on converting existing Exadata DB systems to the new resource model.
The [UpdateCloudVmClusterIormConfig](https://docs.cloud.oracle.com/iaas/api/#/en/database/latest/CloudVmCluster/UpdateCloudVmClusterIormConfig/) API is used for Exadata systems using the
new resource model.
## Example Usage
```python
import pulumi
import pulumi_oci as oci
test_exadata_iorm_config = oci.database.ExadataIormConfig("testExadataIormConfig",
db_plans=[oci.database.ExadataIormConfigDbPlanArgs(
db_name=var["exadata_iorm_config_db_plans_db_name"],
share=var["exadata_iorm_config_db_plans_share"],
)],
db_system_id=oci_database_db_system["test_db_system"]["id"],
objective="AUTO")
```
## Import
Import is not supported for this resource.
:param str resource_name: The name of the resource.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['ExadataIormConfigDbPlanArgs']]]] db_plans: (Updatable) Array of IORM Setting for all the database in this Exadata DB System
:param pulumi.Input[str] db_system_id: (Updatable) The DB system [OCID](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm).
:param pulumi.Input[str] objective: (Updatable) Value for the IORM objective Default is "Auto"
"""
...
@overload
def __init__(__self__,
resource_name: str,
args: ExadataIormConfigArgs,
opts: Optional[pulumi.ResourceOptions] = None):
"""
This resource provides the Exadata Iorm Config resource in Oracle Cloud Infrastructure Database service.
Updates IORM settings for the specified Exadata DB system.
**Note:** Deprecated for Exadata Cloud Service systems. Use the [new resource model APIs](https://docs.cloud.oracle.com/iaas/Content/Database/Concepts/exaflexsystem.htm#exaflexsystem_topic-resource_model) instead.
For Exadata Cloud Service instances, support for this API will end on May 15th, 2021. See [Switching an Exadata DB System to the New Resource Model and APIs](https://docs.cloud.oracle.com/iaas/Content/Database/Concepts/exaflexsystem_topic-resource_model_conversion.htm) for details on converting existing Exadata DB systems to the new resource model.
The [UpdateCloudVmClusterIormConfig](https://docs.cloud.oracle.com/iaas/api/#/en/database/latest/CloudVmCluster/UpdateCloudVmClusterIormConfig/) API is used for Exadata systems using the
new resource model.
## Example Usage
```python
import pulumi
import pulumi_oci as oci
test_exadata_iorm_config = oci.database.ExadataIormConfig("testExadataIormConfig",
db_plans=[oci.database.ExadataIormConfigDbPlanArgs(
db_name=var["exadata_iorm_config_db_plans_db_name"],
share=var["exadata_iorm_config_db_plans_share"],
)],
db_system_id=oci_database_db_system["test_db_system"]["id"],
objective="AUTO")
```
## Import
Import is not supported for this resource.
:param str resource_name: The name of the resource.
:param ExadataIormConfigArgs args: The arguments to use to populate this resource's properties.
:param pulumi.ResourceOptions opts: Options for the resource.
"""
...
def __init__(__self__, resource_name: str, *args, **kwargs):
resource_args, opts = _utilities.get_resource_args_opts(ExadataIormConfigArgs, pulumi.ResourceOptions, *args, **kwargs)
if resource_args is not None:
__self__._internal_init(resource_name, opts, **resource_args.__dict__)
else:
__self__._internal_init(resource_name, *args, **kwargs)
def _internal_init(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
db_plans: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['ExadataIormConfigDbPlanArgs']]]]] = None,
db_system_id: Optional[pulumi.Input[str]] = None,
objective: Optional[pulumi.Input[str]] = None,
__props__=None):
if opts is None:
opts = pulumi.ResourceOptions()
if not isinstance(opts, pulumi.ResourceOptions):
raise TypeError('Expected resource options to be a ResourceOptions instance')
if opts.version is None:
opts.version = _utilities.get_version()
if opts.id is None:
if __props__ is not None:
raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource')
__props__ = ExadataIormConfigArgs.__new__(ExadataIormConfigArgs)
if db_plans is None and not opts.urn:
raise TypeError("Missing required property 'db_plans'")
__props__.__dict__["db_plans"] = db_plans
if db_system_id is None and not opts.urn:
raise TypeError("Missing required property 'db_system_id'")
__props__.__dict__["db_system_id"] = db_system_id
__props__.__dict__["objective"] = objective
__props__.__dict__["lifecycle_details"] = None
__props__.__dict__["state"] = None
super(ExadataIormConfig, __self__).__init__(
'oci:database/exadataIormConfig:ExadataIormConfig',
resource_name,
__props__,
opts)
@staticmethod
def get(resource_name: str,
id: pulumi.Input[str],
opts: Optional[pulumi.ResourceOptions] = None,
db_plans: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['ExadataIormConfigDbPlanArgs']]]]] = None,
db_system_id: Optional[pulumi.Input[str]] = None,
lifecycle_details: Optional[pulumi.Input[str]] = None,
objective: Optional[pulumi.Input[str]] = None,
state: Optional[pulumi.Input[str]] = None) -> 'ExadataIormConfig':
"""
Get an existing ExadataIormConfig resource's state with the given name, id, and optional extra
properties used to qualify the lookup.
:param str resource_name: The unique name of the resulting resource.
:param pulumi.Input[str] id: The unique provider ID of the resource to lookup.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['ExadataIormConfigDbPlanArgs']]]] db_plans: (Updatable) Array of IORM Setting for all the database in this Exadata DB System
:param pulumi.Input[str] db_system_id: (Updatable) The DB system [OCID](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm).
:param pulumi.Input[str] lifecycle_details: Additional information about the current `lifecycleState`.
:param pulumi.Input[str] objective: (Updatable) Value for the IORM objective Default is "Auto"
:param pulumi.Input[str] state: The current state of IORM configuration for the Exadata DB system.
"""
opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id))
__props__ = _ExadataIormConfigState.__new__(_ExadataIormConfigState)
__props__.__dict__["db_plans"] = db_plans
__props__.__dict__["db_system_id"] = db_system_id
__props__.__dict__["lifecycle_details"] = lifecycle_details
__props__.__dict__["objective"] = objective
__props__.__dict__["state"] = state
return ExadataIormConfig(resource_name, opts=opts, __props__=__props__)
@property
@pulumi.getter(name="dbPlans")
def db_plans(self) -> pulumi.Output[Sequence['outputs.ExadataIormConfigDbPlan']]:
"""
(Updatable) Array of IORM Setting for all the database in this Exadata DB System
"""
return pulumi.get(self, "db_plans")
@property
@pulumi.getter(name="dbSystemId")
def db_system_id(self) -> pulumi.Output[str]:
"""
(Updatable) The DB system [OCID](https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm).
"""
return pulumi.get(self, "db_system_id")
@property
@pulumi.getter(name="lifecycleDetails")
def lifecycle_details(self) -> pulumi.Output[str]:
"""
Additional information about the current `lifecycleState`.
"""
return pulumi.get(self, "lifecycle_details")
@property
@pulumi.getter
def objective(self) -> pulumi.Output[str]:
"""
(Updatable) Value for the IORM objective Default is "Auto"
"""
return pulumi.get(self, "objective")
@property
@pulumi.getter
def state(self) -> pulumi.Output[str]:
"""
The current state of IORM configuration for the Exadata DB system.
"""
return pulumi.get(self, "state")
| 46.673184 | 358 | 0.671255 | 1,945 | 16,709 | 5.546015 | 0.105398 | 0.069343 | 0.051914 | 0.046908 | 0.815148 | 0.789747 | 0.763604 | 0.743395 | 0.734495 | 0.706591 | 0 | 0.001006 | 0.226405 | 16,709 | 357 | 359 | 46.803922 | 0.833514 | 0.414507 | 0 | 0.549451 | 1 | 0 | 0.12256 | 0.038709 | 0 | 0 | 0 | 0 | 0 | 1 | 0.153846 | false | 0.005495 | 0.038462 | 0 | 0.285714 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
37c2b24ef1b303bf42efd3be3c57507e2bb69935 | 13,195 | py | Python | tests/test_pdir_format.py | iamgodot/pdir2 | 69f5f84367fa52ba8c2e72ac53d5f5f447d38d94 | [
"MIT"
] | null | null | null | tests/test_pdir_format.py | iamgodot/pdir2 | 69f5f84367fa52ba8c2e72ac53d5f5f447d38d94 | [
"MIT"
] | null | null | null | tests/test_pdir_format.py | iamgodot/pdir2 | 69f5f84367fa52ba8c2e72ac53d5f5f447d38d94 | [
"MIT"
] | null | null | null | import sys
import pdir
import pytest
from pdir.attr_category import AttrCategory
from pdir.format import _FORMATTER
def test_formatter_integrity():
for ac in AttrCategory:
assert ac in _FORMATTER
def test_pdir_module():
import m
result = pdir(m)
if sys.version[0] == '2':
expected = '\n'.join(
[
'\x1b[0;33mproperty:\x1b[0m',
(
' \x1b[0;36m__builtins__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36ma\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36mb\x1b[0m'
),
'\x1b[0;33mmodule attribute:\x1b[0m',
(
' \x1b[0;36m__file__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__name__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__package__\x1b[0m'
),
'\x1b[0;33mspecial attribute:\x1b[0m',
' \x1b[0;36m__doc__\x1b[0m',
'\x1b[0;33mclass:\x1b[0m',
' \x1b[0;36mOOO\x1b[0m\x1b[0;36m: \x1b'
'[0m\x1b[1;30mOOO today.\x1b[0m',
'\x1b[0;33mfunction:\x1b[0m',
(
' \x1b[0;36mfunc\x1b[0m\x1b[0;36m: '
'\x1b[0m\x1b[1;30mThis is a function\x1b[0m'
),
]
)
else:
expected = '\n'.join(
[
'\x1b[0;33mproperty:\x1b[0m',
(
' \x1b[0;36m__builtins__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36ma\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36mb\x1b[0m'
),
'\x1b[0;33mmodule attribute:\x1b[0m',
(
' \x1b[0;36m__cached__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__file__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__loader__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__name__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__package__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__spec__\x1b[0m'
),
'\x1b[0;33mspecial attribute:\x1b[0m',
' \x1b[0;36m__doc__\x1b[0m',
'\x1b[0;33mclass:\x1b[0m',
' \x1b[0;36mOOO\x1b[0m\x1b[0;36m: '
'\x1b[0m\x1b[1;30mOOO today.\x1b[0m',
'\x1b[0;33mfunction:\x1b[0m',
(
' \x1b[0;36mfunc\x1b[0m\x1b[0;36m: '
'\x1b[0m\x1b[1;30mThis is a function\x1b[0m'
),
]
)
assert repr(result) == expected
print(result)
del m
def test_pdir_object():
class T:
def what(self):
"""doc line"""
pass
result = pdir(T())
print(result) # TODO: add real test.
@pytest.mark.xfail(
sys.version_info[:2] not in ((2, 7), (3, 6)),
reason='not intended to be tested under Python {0.major}.{0.minor}'.format(
sys.version_info
),
)
def test_pdir_class():
class T:
pass
result = pdir(T)
if sys.version_info[:2] == (2, 7):
expected = '\n'.join(
[
'\x1b[0;33mspecial attribute:\x1b[0m',
(
' \x1b[0;36m__class__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__dict__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__doc__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__module__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__weakref__\x1b[0m'
),
'\x1b[0;33mabstract class:\x1b[0m',
' \x1b[0;36m__subclasshook__\x1b[0m',
'\x1b[0;33mobject customization:\x1b[0m',
(
' \x1b[0;36m__format__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__hash__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__init__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__new__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__repr__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__sizeof__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__str__\x1b[0m'
),
'\x1b[0;33mattribute access:\x1b[0m',
(
' \x1b[0;36m__delattr__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__getattribute__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__setattr__\x1b[0m'
),
'\x1b[0;33mpickle:\x1b[0m',
(
' \x1b[0;36m__reduce__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__reduce_ex__\x1b[0m'
),
]
)
elif sys.version_info[:2] == (3, 6):
expected = '\n'.join(
[
'\x1b[0;33mspecial attribute:\x1b[0m',
(
' \x1b[0;36m__class__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__dict__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__doc__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__module__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__weakref__\x1b[0m'
),
'\x1b[0;33mabstract class:\x1b[0m',
' \x1b[0;36m__subclasshook__\x1b[0m',
'\x1b[0;33mobject customization:\x1b[0m',
(
' \x1b[0;36m__format__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__hash__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__init__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__new__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__repr__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__sizeof__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__str__\x1b[0m'
),
'\x1b[0;33mrich comparison:\x1b[0m',
(
' \x1b[0;36m__eq__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__ge__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__gt__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__le__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__lt__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__ne__\x1b[0m'
),
'\x1b[0;33mattribute access:\x1b[0m',
(
' \x1b[0;36m__delattr__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__dir__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__getattribute__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__setattr__\x1b[0m'
),
'\x1b[0;33mclass customization:\x1b[0m',
' \x1b[0;36m__init_subclass__\x1b[0m',
'\x1b[0;33mpickle:\x1b[0m',
(
' \x1b[0;36m__reduce__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__reduce_ex__\x1b[0m'
),
]
)
assert repr(result) == expected
print(result)
def test_dir_without_argument():
a = 1
b = 2
def whatever():
"""One line doc."""
pass
result = pdir()
assert repr(result) == '\n'.join(
[
'\x1b[0;33mproperty:\x1b[0m',
' \x1b[0;36ma\x1b[0m\x1b[1;30m, \x1b[0m\x1b[0;36mb\x1b[0m',
'\x1b[0;33mfunction:\x1b[0m',
' \x1b[0;36mwhatever\x1b[0m\x1b[0;36m: \x1b[0m\x1b'
'[1;30mOne line doc.\x1b[0m',
]
)
print(result)
def test_slots():
class A:
__slots__ = ['__mul__', '__hash__', 'a', 'b']
a = A()
result = pdir(a)
if sys.version[0] == '2':
expected = '\n'.join(
[
'\x1b[0;33mspecial attribute:\x1b[0m',
(
' \x1b[0;36m__class__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__doc__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__module__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__slots__\x1b[0m'
),
'\x1b[0;33mabstract class:\x1b[0m',
' \x1b[0;36m__subclasshook__\x1b[0m',
'\x1b[0;33marithmetic:\x1b[0m',
' \x1b[0;36m__mul__\x1b[0m\x1b[0;35m(slotted)\x1b[0m',
'\x1b[0;33mobject customization:\x1b[0m',
(
' \x1b[0;36m__format__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__hash__\x1b[0m'
'\x1b[0;35m(slotted)\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__init__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__new__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__repr__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__sizeof__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__str__\x1b[0m'
),
'\x1b[0;33mattribute access:\x1b[0m',
(
' \x1b[0;36m__delattr__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__getattribute__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__setattr__\x1b[0m'
),
'\x1b[0;33mpickle:\x1b[0m',
(
' \x1b[0;36m__reduce__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__reduce_ex__\x1b[0m'
),
'\x1b[0;33mdescriptor:\x1b[0m',
(
' \x1b[0;36ma\x1b[0m'
'\x1b[0;35m(slotted)\x1b[0m\x1b[0;36m: '
'\x1b[0m\x1b[1;30mclass member_descriptor with '
'getter, setter, deleter\x1b[0m'
),
(
' \x1b[0;36mb\x1b[0m'
'\x1b[0;35m(slotted)\x1b[0m\x1b[0;36m: '
'\x1b[0m\x1b[1;30mclass member_descriptor with '
'getter, setter, deleter\x1b[0m'
),
]
)
else:
expected = '\n'.join(
[
'\x1b[0;33mspecial attribute:\x1b[0m',
(
' \x1b[0;36m__class__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__doc__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__module__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__slots__\x1b[0m'
),
'\x1b[0;33mabstract class:\x1b[0m',
' \x1b[0;36m__subclasshook__\x1b[0m',
'\x1b[0;33marithmetic:\x1b[0m',
' \x1b[0;36m__mul__\x1b[0m\x1b[0;35m(slotted)\x1b[0m',
'\x1b[0;33mobject customization:\x1b[0m',
(
' \x1b[0;36m__format__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__hash__\x1b[0m'
'\x1b[0;35m(slotted)\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__init__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__new__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__repr__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__sizeof__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__str__\x1b[0m'
),
'\x1b[0;33mrich comparison:\x1b[0m',
(
' \x1b[0;36m__eq__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__ge__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__gt__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__le__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__lt__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__ne__\x1b[0m'
),
'\x1b[0;33mattribute access:\x1b[0m',
(
' \x1b[0;36m__delattr__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__dir__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__getattribute__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__setattr__\x1b[0m'
),
'\x1b[0;33mclass customization:\x1b[0m',
' \x1b[0;36m__init_subclass__\x1b[0m',
'\x1b[0;33mpickle:\x1b[0m',
(
' \x1b[0;36m__reduce__\x1b[0m\x1b[1;30m, '
'\x1b[0m\x1b[0;36m__reduce_ex__\x1b[0m'
),
'\x1b[0;33mdescriptor:\x1b[0m',
(
' \x1b[0;36ma\x1b[0m'
'\x1b[0;35m(slotted)\x1b[0m\x1b[0;36m: '
'\x1b[0m\x1b[1;30mclass member_descriptor with '
'getter, setter, deleter\x1b[0m'
),
(
' \x1b[0;36mb\x1b[0m'
'\x1b[0;35m(slotted)\x1b[0m\x1b[0;36m: '
'\x1b[0m\x1b[1;30mclass member_descriptor with '
'getter, setter, deleter\x1b[0m'
),
]
)
assert repr(result) == expected
| 39.743976 | 79 | 0.43183 | 1,652 | 13,195 | 3.179782 | 0.082324 | 0.24367 | 0.379212 | 0.284409 | 0.876452 | 0.876452 | 0.871883 | 0.871883 | 0.857034 | 0.845422 | 0 | 0.197988 | 0.404775 | 13,195 | 331 | 80 | 39.864048 | 0.470843 | 0.003335 | 0 | 0.682848 | 0 | 0.171521 | 0.508067 | 0.395053 | 0 | 0 | 0 | 0.003021 | 0.016181 | 1 | 0.02589 | false | 0.009709 | 0.019417 | 0 | 0.058252 | 0.012945 | 0 | 0 | 0 | null | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 |
80de9c40974db00e80e4fc415c809f40c000e192 | 22 | py | Python | ms5803py/__init__.py | NickCrews/MS5803-14BA-python | 23130da8a808d3dc52612118cb088a6134916c13 | [
"MIT"
] | 7 | 2019-06-25T08:13:46.000Z | 2022-03-25T14:14:52.000Z | ms5803py/__init__.py | NickCrews/MS5803-14BA-python | 23130da8a808d3dc52612118cb088a6134916c13 | [
"MIT"
] | 1 | 2019-06-14T15:40:07.000Z | 2019-06-25T08:14:23.000Z | ms5803py/__init__.py | NickCrews/MS5803-14BA-python | 23130da8a808d3dc52612118cb088a6134916c13 | [
"MIT"
] | 3 | 2019-06-15T20:08:31.000Z | 2020-09-17T22:59:55.000Z | from .ms5803 import *
| 11 | 21 | 0.727273 | 3 | 22 | 5.333333 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.222222 | 0.181818 | 22 | 1 | 22 | 22 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
80f845d074a6ee597f8c96bbc139e6dc1042e815 | 6,269 | py | Python | loldib/getratings/models/NA/na_jhin/na_jhin_sup.py | koliupy/loldib | c9ab94deb07213cdc42b5a7c26467cdafaf81b7f | [
"Apache-2.0"
] | null | null | null | loldib/getratings/models/NA/na_jhin/na_jhin_sup.py | koliupy/loldib | c9ab94deb07213cdc42b5a7c26467cdafaf81b7f | [
"Apache-2.0"
] | null | null | null | loldib/getratings/models/NA/na_jhin/na_jhin_sup.py | koliupy/loldib | c9ab94deb07213cdc42b5a7c26467cdafaf81b7f | [
"Apache-2.0"
] | null | null | null | from getratings.models.ratings import Ratings
class NA_Jhin_Sup_Aatrox(Ratings):
pass
class NA_Jhin_Sup_Ahri(Ratings):
pass
class NA_Jhin_Sup_Akali(Ratings):
pass
class NA_Jhin_Sup_Alistar(Ratings):
pass
class NA_Jhin_Sup_Amumu(Ratings):
pass
class NA_Jhin_Sup_Anivia(Ratings):
pass
class NA_Jhin_Sup_Annie(Ratings):
pass
class NA_Jhin_Sup_Ashe(Ratings):
pass
class NA_Jhin_Sup_AurelionSol(Ratings):
pass
class NA_Jhin_Sup_Azir(Ratings):
pass
class NA_Jhin_Sup_Bard(Ratings):
pass
class NA_Jhin_Sup_Blitzcrank(Ratings):
pass
class NA_Jhin_Sup_Brand(Ratings):
pass
class NA_Jhin_Sup_Braum(Ratings):
pass
class NA_Jhin_Sup_Caitlyn(Ratings):
pass
class NA_Jhin_Sup_Camille(Ratings):
pass
class NA_Jhin_Sup_Cassiopeia(Ratings):
pass
class NA_Jhin_Sup_Chogath(Ratings):
pass
class NA_Jhin_Sup_Corki(Ratings):
pass
class NA_Jhin_Sup_Darius(Ratings):
pass
class NA_Jhin_Sup_Diana(Ratings):
pass
class NA_Jhin_Sup_Draven(Ratings):
pass
class NA_Jhin_Sup_DrMundo(Ratings):
pass
class NA_Jhin_Sup_Ekko(Ratings):
pass
class NA_Jhin_Sup_Elise(Ratings):
pass
class NA_Jhin_Sup_Evelynn(Ratings):
pass
class NA_Jhin_Sup_Ezreal(Ratings):
pass
class NA_Jhin_Sup_Fiddlesticks(Ratings):
pass
class NA_Jhin_Sup_Fiora(Ratings):
pass
class NA_Jhin_Sup_Fizz(Ratings):
pass
class NA_Jhin_Sup_Galio(Ratings):
pass
class NA_Jhin_Sup_Gangplank(Ratings):
pass
class NA_Jhin_Sup_Garen(Ratings):
pass
class NA_Jhin_Sup_Gnar(Ratings):
pass
class NA_Jhin_Sup_Gragas(Ratings):
pass
class NA_Jhin_Sup_Graves(Ratings):
pass
class NA_Jhin_Sup_Hecarim(Ratings):
pass
class NA_Jhin_Sup_Heimerdinger(Ratings):
pass
class NA_Jhin_Sup_Illaoi(Ratings):
pass
class NA_Jhin_Sup_Irelia(Ratings):
pass
class NA_Jhin_Sup_Ivern(Ratings):
pass
class NA_Jhin_Sup_Janna(Ratings):
pass
class NA_Jhin_Sup_JarvanIV(Ratings):
pass
class NA_Jhin_Sup_Jax(Ratings):
pass
class NA_Jhin_Sup_Jayce(Ratings):
pass
class NA_Jhin_Sup_Jhin(Ratings):
pass
class NA_Jhin_Sup_Jinx(Ratings):
pass
class NA_Jhin_Sup_Kalista(Ratings):
pass
class NA_Jhin_Sup_Karma(Ratings):
pass
class NA_Jhin_Sup_Karthus(Ratings):
pass
class NA_Jhin_Sup_Kassadin(Ratings):
pass
class NA_Jhin_Sup_Katarina(Ratings):
pass
class NA_Jhin_Sup_Kayle(Ratings):
pass
class NA_Jhin_Sup_Kayn(Ratings):
pass
class NA_Jhin_Sup_Kennen(Ratings):
pass
class NA_Jhin_Sup_Khazix(Ratings):
pass
class NA_Jhin_Sup_Kindred(Ratings):
pass
class NA_Jhin_Sup_Kled(Ratings):
pass
class NA_Jhin_Sup_KogMaw(Ratings):
pass
class NA_Jhin_Sup_Leblanc(Ratings):
pass
class NA_Jhin_Sup_LeeSin(Ratings):
pass
class NA_Jhin_Sup_Leona(Ratings):
pass
class NA_Jhin_Sup_Lissandra(Ratings):
pass
class NA_Jhin_Sup_Lucian(Ratings):
pass
class NA_Jhin_Sup_Lulu(Ratings):
pass
class NA_Jhin_Sup_Lux(Ratings):
pass
class NA_Jhin_Sup_Malphite(Ratings):
pass
class NA_Jhin_Sup_Malzahar(Ratings):
pass
class NA_Jhin_Sup_Maokai(Ratings):
pass
class NA_Jhin_Sup_MasterYi(Ratings):
pass
class NA_Jhin_Sup_MissFortune(Ratings):
pass
class NA_Jhin_Sup_MonkeyKing(Ratings):
pass
class NA_Jhin_Sup_Mordekaiser(Ratings):
pass
class NA_Jhin_Sup_Morgana(Ratings):
pass
class NA_Jhin_Sup_Nami(Ratings):
pass
class NA_Jhin_Sup_Nasus(Ratings):
pass
class NA_Jhin_Sup_Nautilus(Ratings):
pass
class NA_Jhin_Sup_Nidalee(Ratings):
pass
class NA_Jhin_Sup_Nocturne(Ratings):
pass
class NA_Jhin_Sup_Nunu(Ratings):
pass
class NA_Jhin_Sup_Olaf(Ratings):
pass
class NA_Jhin_Sup_Orianna(Ratings):
pass
class NA_Jhin_Sup_Ornn(Ratings):
pass
class NA_Jhin_Sup_Pantheon(Ratings):
pass
class NA_Jhin_Sup_Poppy(Ratings):
pass
class NA_Jhin_Sup_Quinn(Ratings):
pass
class NA_Jhin_Sup_Rakan(Ratings):
pass
class NA_Jhin_Sup_Rammus(Ratings):
pass
class NA_Jhin_Sup_RekSai(Ratings):
pass
class NA_Jhin_Sup_Renekton(Ratings):
pass
class NA_Jhin_Sup_Rengar(Ratings):
pass
class NA_Jhin_Sup_Riven(Ratings):
pass
class NA_Jhin_Sup_Rumble(Ratings):
pass
class NA_Jhin_Sup_Ryze(Ratings):
pass
class NA_Jhin_Sup_Sejuani(Ratings):
pass
class NA_Jhin_Sup_Shaco(Ratings):
pass
class NA_Jhin_Sup_Shen(Ratings):
pass
class NA_Jhin_Sup_Shyvana(Ratings):
pass
class NA_Jhin_Sup_Singed(Ratings):
pass
class NA_Jhin_Sup_Sion(Ratings):
pass
class NA_Jhin_Sup_Sivir(Ratings):
pass
class NA_Jhin_Sup_Skarner(Ratings):
pass
class NA_Jhin_Sup_Sona(Ratings):
pass
class NA_Jhin_Sup_Soraka(Ratings):
pass
class NA_Jhin_Sup_Swain(Ratings):
pass
class NA_Jhin_Sup_Syndra(Ratings):
pass
class NA_Jhin_Sup_TahmKench(Ratings):
pass
class NA_Jhin_Sup_Taliyah(Ratings):
pass
class NA_Jhin_Sup_Talon(Ratings):
pass
class NA_Jhin_Sup_Taric(Ratings):
pass
class NA_Jhin_Sup_Teemo(Ratings):
pass
class NA_Jhin_Sup_Thresh(Ratings):
pass
class NA_Jhin_Sup_Tristana(Ratings):
pass
class NA_Jhin_Sup_Trundle(Ratings):
pass
class NA_Jhin_Sup_Tryndamere(Ratings):
pass
class NA_Jhin_Sup_TwistedFate(Ratings):
pass
class NA_Jhin_Sup_Twitch(Ratings):
pass
class NA_Jhin_Sup_Udyr(Ratings):
pass
class NA_Jhin_Sup_Urgot(Ratings):
pass
class NA_Jhin_Sup_Varus(Ratings):
pass
class NA_Jhin_Sup_Vayne(Ratings):
pass
class NA_Jhin_Sup_Veigar(Ratings):
pass
class NA_Jhin_Sup_Velkoz(Ratings):
pass
class NA_Jhin_Sup_Vi(Ratings):
pass
class NA_Jhin_Sup_Viktor(Ratings):
pass
class NA_Jhin_Sup_Vladimir(Ratings):
pass
class NA_Jhin_Sup_Volibear(Ratings):
pass
class NA_Jhin_Sup_Warwick(Ratings):
pass
class NA_Jhin_Sup_Xayah(Ratings):
pass
class NA_Jhin_Sup_Xerath(Ratings):
pass
class NA_Jhin_Sup_XinZhao(Ratings):
pass
class NA_Jhin_Sup_Yasuo(Ratings):
pass
class NA_Jhin_Sup_Yorick(Ratings):
pass
class NA_Jhin_Sup_Zac(Ratings):
pass
class NA_Jhin_Sup_Zed(Ratings):
pass
class NA_Jhin_Sup_Ziggs(Ratings):
pass
class NA_Jhin_Sup_Zilean(Ratings):
pass
class NA_Jhin_Sup_Zyra(Ratings):
pass
| 15.033573 | 46 | 0.75642 | 972 | 6,269 | 4.452675 | 0.151235 | 0.223198 | 0.350739 | 0.446396 | 0.791359 | 0.791359 | 0 | 0 | 0 | 0 | 0 | 0 | 0.177221 | 6,269 | 416 | 47 | 15.069712 | 0.839085 | 0 | 0 | 0.498195 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.498195 | 0.00361 | 0 | 0.501805 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 7 |
80fdb30bc442825a20d10a5ec77484261e5dbef2 | 2,319 | py | Python | birthday_pages/migrations/0002_auto_20180810_2109.py | JoshZero87/site | c8024b805ff5ff0e16f54dce7bf05097fd2f08e0 | [
"MIT"
] | 4 | 2017-01-29T00:38:41.000Z | 2019-09-04T14:30:24.000Z | birthday_pages/migrations/0002_auto_20180810_2109.py | JoshZero87/site | c8024b805ff5ff0e16f54dce7bf05097fd2f08e0 | [
"MIT"
] | 74 | 2017-10-02T04:42:54.000Z | 2022-01-13T00:44:16.000Z | birthday_pages/migrations/0002_auto_20180810_2109.py | JoshZero87/site | c8024b805ff5ff0e16f54dce7bf05097fd2f08e0 | [
"MIT"
] | 3 | 2017-03-24T23:26:46.000Z | 2019-10-21T01:16:03.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.11.13 on 2018-08-10 21:09
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
import wagtail.wagtailcore.fields
class Migration(migrations.Migration):
dependencies = [
('wagtailimages', '0019_delete_filter'),
('birthday_pages', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='birthdaypage',
name='section_2_1_background_image',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='wagtailimages.Image'),
),
migrations.AddField(
model_name='birthdaypage',
name='section_2_1_body',
field=wagtail.wagtailcore.fields.RichTextField(blank=True, null=True),
),
migrations.AddField(
model_name='birthdaypage',
name='section_2_2_background_image',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='wagtailimages.Image'),
),
migrations.AddField(
model_name='birthdaypage',
name='section_2_2_body',
field=wagtail.wagtailcore.fields.RichTextField(blank=True, null=True),
),
migrations.AddField(
model_name='birthdaypage',
name='section_2_3_background_image',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='wagtailimages.Image'),
),
migrations.AddField(
model_name='birthdaypage',
name='section_2_3_body',
field=wagtail.wagtailcore.fields.RichTextField(blank=True, null=True),
),
migrations.AddField(
model_name='birthdaypage',
name='section_2_4_background_image',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='wagtailimages.Image'),
),
migrations.AddField(
model_name='birthdaypage',
name='section_2_4_body',
field=wagtail.wagtailcore.fields.RichTextField(blank=True, null=True),
),
]
| 39.305085 | 149 | 0.640793 | 249 | 2,319 | 5.738956 | 0.236948 | 0.10077 | 0.128761 | 0.151155 | 0.806158 | 0.806158 | 0.806158 | 0.806158 | 0.806158 | 0.764871 | 0 | 0.023783 | 0.238465 | 2,319 | 58 | 150 | 39.982759 | 0.785391 | 0.029754 | 0 | 0.627451 | 1 | 0 | 0.18202 | 0.049844 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.078431 | 0 | 0.137255 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
2080dd7634607a2b465fc124457b2d87b68000f6 | 717,681 | py | Python | Graph_Index_0.py | kcrossen/Kivy_App_Demo | 362335f571e2f7c1a6af3ea4ae93d147dd0e390b | [
"MIT"
] | null | null | null | Graph_Index_0.py | kcrossen/Kivy_App_Demo | 362335f571e2f7c1a6af3ea4ae93d147dd0e390b | [
"MIT"
] | null | null | null | Graph_Index_0.py | kcrossen/Kivy_App_Demo | 362335f571e2f7c1a6af3ea4ae93d147dd0e390b | [
"MIT"
] | null | null | null | Graph_Index_0 = \
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] | 27.607363 | 49 | 0.493311 | 69,185 | 717,681 | 5.117265 | 0.007964 | 0.098362 | 0.074382 | 0.121936 | 0.986504 | 0.986504 | 0.986504 | 0.986422 | 0.986165 | 0.986061 | 0 | 0.418042 | 0.325817 | 717,681 | 25,996 | 50 | 27.607363 | 0.313671 | 0 | 0 | 0.656755 | 0 | 0 | 0.355843 | 0.15038 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
20b1f7d3db245231ca71a71289b37ee7ae3182a3 | 89 | py | Python | src/__init__.py | Belvenix/IdleonCogOptimizer | 6b80b9f11bf0478e2e3522cb07b93b2c8834840b | [
"MIT"
] | null | null | null | src/__init__.py | Belvenix/IdleonCogOptimizer | 6b80b9f11bf0478e2e3522cb07b93b2c8834840b | [
"MIT"
] | null | null | null | src/__init__.py | Belvenix/IdleonCogOptimizer | 6b80b9f11bf0478e2e3522cb07b93b2c8834840b | [
"MIT"
] | null | null | null | from .python.board import *
from .python.cogs import *
from .python.special_cogs import * | 29.666667 | 34 | 0.775281 | 13 | 89 | 5.230769 | 0.461538 | 0.441176 | 0.470588 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.123596 | 89 | 3 | 34 | 29.666667 | 0.871795 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
20c9dcdd831318959a1405ab2f0ff55adcb92c09 | 2,768 | py | Python | py-proio/tests/test_tags.py | chekanov/proio | 7de5ef21b9e2d5b22c80fad5c0dca108e8750578 | [
"BSD-3-Clause"
] | 3 | 2017-09-30T08:50:59.000Z | 2020-03-24T08:26:13.000Z | py-proio/tests/test_tags.py | chekanov/proio | 7de5ef21b9e2d5b22c80fad5c0dca108e8750578 | [
"BSD-3-Clause"
] | 49 | 2017-09-29T23:14:36.000Z | 2018-08-29T22:28:29.000Z | py-proio/tests/test_tags.py | chekanov/proio | 7de5ef21b9e2d5b22c80fad5c0dca108e8750578 | [
"BSD-3-Clause"
] | 7 | 2017-10-11T16:02:29.000Z | 2018-08-03T13:40:05.000Z | import pytest
import proio
import proio.model.eic as eic
def test_tag_cleanup1():
event = proio.Event()
entry = eic.SimHit()
entryID = event.add_entry('SimCreated', entry)
assert(len(event.tagged_entries('SimCreated')) == 1)
assert(len(event.all_entries()) == 1)
event.remove_entry(entryID)
assert(len(event.tagged_entries('SimCreated')) == 0)
assert(len(event.all_entries()) == 0)
def test_tag_cleanup2():
event = proio.Event()
entry = eic.SimHit()
entryID = event.add_entry('SimCreated', entry)
event._flush_cache()
assert(len(event.tagged_entries('SimCreated')) == 1)
assert(len(event.all_entries()) == 1)
event.remove_entry(entryID)
assert(len(event.tagged_entries('SimCreated')) == 0)
assert(len(event.all_entries()) == 0)
def test_untag1():
event = proio.Event()
entry = eic.SimHit()
entryID = event.add_entry('SimCreated', entry)
assert(len(event.tagged_entries('SimCreated')) == 1)
event.untag_entry(entryID, 'WrongTag')
assert(len(event.tagged_entries('SimCreated')) == 1)
assert(len(event.tags()) == 1)
assert(len(event.all_entries()) == 1)
event.untag_entry(entryID, 'SimCreated')
assert(len(event.tagged_entries('SimCreated')) == 0)
assert(len(event.all_entries()) == 1)
def test_untag2():
event = proio.Event()
entry = eic.SimHit()
entryID = event.add_entry('SimCreated', entry)
assert(len(event.tagged_entries('SimCreated')) == 1)
event.untag_entry(entryID + 1, 'WrongTag')
assert(len(event.tagged_entries('SimCreated')) == 1)
assert(len(event.tags()) == 1)
assert(len(event.all_entries()) == 1)
event.untag_entry(entryID + 1, 'SimCreated')
assert(len(event.tagged_entries('SimCreated')) == 1)
assert(len(event.all_entries()) == 1)
def test_tag_delete1():
event = proio.Event()
entry = eic.SimHit()
entryID = event.add_entry('SimCreated', entry)
assert(len(event.tags()) == 1)
assert(len(event.all_entries()) == 1)
event.delete_tag('WrongTag')
assert(len(event.tags()) == 1)
event.delete_tag('SimCreated')
assert(len(event.tags()) == 0)
assert(len(event.all_entries()) == 1)
def test_tag_rev_lookup1():
event = proio.Event()
entry = eic.SimHit()
entryID = event.add_entry('SimCreated', entry)
assert(len(event.entry_tags(entryID)) == 1)
assert(event.entry_tags(entryID)[0] == 'SimCreated')
assert(len(event.tags()) == 1)
event.tag_entry(entryID, 'Tracker')
assert(len(event.entry_tags(entryID)) == 2)
assert(len(event.tags()) == 2)
event.untag_entry(entryID, 'SimCreated')
assert(len(event.entry_tags(entryID)) == 1)
assert(event.entry_tags(entryID)[0] == 'Tracker')
assert(len(event.tags()) == 2)
| 34.6 | 56 | 0.65896 | 361 | 2,768 | 4.903047 | 0.105263 | 0.157627 | 0.245198 | 0.112994 | 0.900565 | 0.857627 | 0.812429 | 0.80678 | 0.783051 | 0.752542 | 0 | 0.017734 | 0.16474 | 2,768 | 79 | 57 | 35.037975 | 0.747837 | 0 | 0 | 0.71831 | 0 | 0 | 0.089628 | 0 | 0 | 0 | 0 | 0 | 0.464789 | 1 | 0.084507 | false | 0 | 0.042254 | 0 | 0.126761 | 0 | 0 | 0 | 0 | null | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
20d629174a87e43e2f1f04a3d68dc7bdc8e7a6b1 | 15,549 | py | Python | data/level/level96.py | levelupai/match3-level-similarity | cc9b28b8741b41bea1273c8bc9b4d265d79a1dca | [
"Apache-2.0"
] | null | null | null | data/level/level96.py | levelupai/match3-level-similarity | cc9b28b8741b41bea1273c8bc9b4d265d79a1dca | [
"Apache-2.0"
] | 6 | 2020-07-04T02:53:08.000Z | 2022-03-11T23:53:14.000Z | data/level/level96.py | levelupai/match3-level-similarity | cc9b28b8741b41bea1273c8bc9b4d265d79a1dca | [
"Apache-2.0"
] | 3 | 2019-12-31T11:42:59.000Z | 2021-03-28T20:06:13.000Z | data = {
'level_index': 96,
'move_count': 27,
'board_info': {
(1, 2): {
'base': (50, 1),
'cover': (64, 2),
'fall_point': (0, -1),
'next': (0, 1),
'prev': (0, -1)
},
(1, 3): {
'base': (5, 1),
'cover': (63, 1),
'next': (0, 1),
'prev': (0, -1)
},
(1, 5): {
'base': (4, 1),
'cover': (63, 1),
'next': (0, 1),
'prev': (0, -1)
},
(1, 6): {
'base': (50, 1),
'cover': (64, 2),
'next': (0, 1),
'prev': (0, -1)
},
(2, 2): {
'base': (5, 1),
'cover': (63, 1),
'next': (0, 1),
'prev': (0, -1)
},
(2, 3): {
'base': (2, 1),
'next': (0, 1),
'prev': (0, -1)
},
(2, 4): {
'base': (2, 1),
'next': (0, 1),
'prev': (0, -1)
},
(2, 5): {
'base': (4, 1),
'next': (0, 1),
'prev': (0, -1)
},
(2, 6): {
'base': (4, 1),
'cover': (63, 1),
'next': (0, 1),
'prev': (0, -1)
},
(3, 1): {
'base': (6, 1),
'next': (0, 1),
'prev': (0, -1)
},
(3, 2): {
'base': (4, 1),
'next': (0, 1),
'prev': (0, -1)
},
(3, 3): {
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'base': (2, 1),
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},
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'base': (2, 1),
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},
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},
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'base': (50, 1),
'cover': (64, 1),
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},
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'base': (2, 1),
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},
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},
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},
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},
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},
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},
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},
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},
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},
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'base': (50, 1),
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},
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},
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},
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},
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},
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},
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'cover': (63, 1),
'next': (0, 1),
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},
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}
},
'trans_info': {
(0, 0): {
50: 12
},
(13, 0): {
50: 20
}
}
}
| 23.417169 | 34 | 0.197826 | 1,514 | 15,549 | 2.023778 | 0.027081 | 0.155352 | 0.225196 | 0.375326 | 0.963446 | 0.960836 | 0.95953 | 0.955287 | 0.930483 | 0.883486 | 0 | 0.180957 | 0.558943 | 15,549 | 663 | 35 | 23.452489 | 0.265821 | 0 | 0 | 0.630468 | 0 | 0 | 0.117757 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 |
20eb788a9920606a2a41e22077a28f534922ec36 | 131 | py | Python | models/__init__.py | lucamocerino/Binary-Neural-Networks-PyTorch-1.0 | aa62f5449e4f64bc821aea4d9921572e8dca8037 | [
"MIT"
] | 22 | 2020-09-15T12:59:49.000Z | 2022-02-12T15:56:32.000Z | models/__init__.py | lucamocerino/Binary-Neural-Networks-PyTorch-1.0 | aa62f5449e4f64bc821aea4d9921572e8dca8037 | [
"MIT"
] | 3 | 2021-08-07T15:50:13.000Z | 2022-01-27T09:46:19.000Z | models/__init__.py | lucamocerino/Binary-Neural-Networks-PyTorch-1.0 | aa62f5449e4f64bc821aea4d9921572e8dca8037 | [
"MIT"
] | 2 | 2021-07-19T06:34:55.000Z | 2022-03-22T18:06:03.000Z | from .xnor_nin import *
from .xnor_lenet import *
from .xnor_mlp import *
from .dorefa_resnet import *
from .bnn_caffenet import *
| 21.833333 | 28 | 0.770992 | 20 | 131 | 4.8 | 0.5 | 0.416667 | 0.291667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.152672 | 131 | 5 | 29 | 26.2 | 0.864865 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
b311a1dbcf6c9e151fc5b8ccad953b6732ae3256 | 147 | py | Python | tests/float/int_divzero.py | learnforpractice/micropython-cpp | 004bc8382f74899e7b876cc29bfa6a9cc976ba10 | [
"MIT"
] | 13,648 | 2015-01-01T01:34:51.000Z | 2022-03-31T16:19:53.000Z | tests/float/int_divzero.py | learnforpractice/micropython-cpp | 004bc8382f74899e7b876cc29bfa6a9cc976ba10 | [
"MIT"
] | 7,092 | 2015-01-01T07:59:11.000Z | 2022-03-31T23:52:18.000Z | tests/float/int_divzero.py | learnforpractice/micropython-cpp | 004bc8382f74899e7b876cc29bfa6a9cc976ba10 | [
"MIT"
] | 4,942 | 2015-01-02T11:48:50.000Z | 2022-03-31T19:57:10.000Z | try:
1 / 0
except ZeroDivisionError:
print("ZeroDivisionError")
try:
0 ** -1
except ZeroDivisionError:
print("ZeroDivisionError")
| 14.7 | 30 | 0.680272 | 14 | 147 | 7.142857 | 0.428571 | 0.46 | 0.56 | 0.9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.034483 | 0.210884 | 147 | 9 | 31 | 16.333333 | 0.827586 | 0 | 0 | 0.75 | 0 | 0 | 0.231293 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 0.25 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
640b91c57bc99ae4f205c80516c12c0ce9212048 | 296 | py | Python | dragon/func/jd_front_event/__init__.py | InfernalAzazel/dragon | 464056feb8ecaac55eabedb0a083ea9f609a5753 | [
"Apache-2.0"
] | null | null | null | dragon/func/jd_front_event/__init__.py | InfernalAzazel/dragon | 464056feb8ecaac55eabedb0a083ea9f609a5753 | [
"Apache-2.0"
] | null | null | null | dragon/func/jd_front_event/__init__.py | InfernalAzazel/dragon | 464056feb8ecaac55eabedb0a083ea9f609a5753 | [
"Apache-2.0"
] | null | null | null | from func.jd_front_event import test
from func.jd_front_event import leave_apply
from func.jd_front_event import activity_postponed_add
from func.jd_front_event import activity_postponed_count
from func.jd_front_event import copy_value_to_field
from func.jd_front_event import r_a_d_reward_apply
| 42.285714 | 56 | 0.898649 | 54 | 296 | 4.481481 | 0.388889 | 0.198347 | 0.247934 | 0.371901 | 0.785124 | 0.785124 | 0.355372 | 0.355372 | 0 | 0 | 0 | 0 | 0.081081 | 296 | 6 | 57 | 49.333333 | 0.889706 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
64226f5a6b2a4b2710042283bb32285ba30bded1 | 1,472 | py | Python | tests/test_stream_line_reader.py | deterok/galaxy-integrations-python-api | a76345ff6bb1bcc11b12dafd41ac0eef9f76bff1 | [
"MIT"
] | 1,165 | 2019-05-31T11:46:30.000Z | 2022-03-30T19:14:18.000Z | tests/test_stream_line_reader.py | Vento998/galaxy-integrations-python-api | 617dbdfee70ab1690be34e15f3929d207e4ce253 | [
"MIT"
] | 184 | 2019-06-22T23:53:59.000Z | 2022-03-24T23:06:47.000Z | tests/test_stream_line_reader.py | Vento998/galaxy-integrations-python-api | 617dbdfee70ab1690be34e15f3929d207e4ce253 | [
"MIT"
] | 386 | 2019-06-15T23:26:58.000Z | 2022-03-30T15:25:42.000Z | import pytest
from galaxy.reader import StreamLineReader
from galaxy.unittest.mock import async_return_value
@pytest.fixture()
def stream_line_reader(reader):
return StreamLineReader(reader)
@pytest.mark.asyncio
async def test_message(stream_line_reader, read):
read.return_value = async_return_value(b"a\n")
assert await stream_line_reader.readline() == b"a"
read.assert_called_once()
@pytest.mark.asyncio
async def test_separate_messages(stream_line_reader, read):
read.side_effect = [async_return_value(b"a\n"), async_return_value(b"b\n")]
assert await stream_line_reader.readline() == b"a"
assert await stream_line_reader.readline() == b"b"
assert read.call_count == 2
@pytest.mark.asyncio
async def test_connected_messages(stream_line_reader, read):
read.return_value = async_return_value(b"a\nb\n")
assert await stream_line_reader.readline() == b"a"
assert await stream_line_reader.readline() == b"b"
read.assert_called_once()
@pytest.mark.asyncio
async def test_cut_message(stream_line_reader, read):
read.side_effect = [async_return_value(b"a"), async_return_value(b"b\n")]
assert await stream_line_reader.readline() == b"ab"
assert read.call_count == 2
@pytest.mark.asyncio
async def test_half_message(stream_line_reader, read):
read.side_effect = [async_return_value(b"a"), async_return_value(b"")]
assert await stream_line_reader.readline() == b""
assert read.call_count == 2
| 31.319149 | 79 | 0.755435 | 222 | 1,472 | 4.716216 | 0.18018 | 0.124164 | 0.198663 | 0.129895 | 0.820439 | 0.820439 | 0.750716 | 0.716332 | 0.716332 | 0.680038 | 0 | 0.002344 | 0.130435 | 1,472 | 46 | 80 | 32 | 0.815625 | 0 | 0 | 0.454545 | 0 | 0 | 0.018342 | 0 | 0 | 0 | 0 | 0 | 0.363636 | 1 | 0.030303 | false | 0 | 0.090909 | 0.030303 | 0.151515 | 0 | 0 | 0 | 0 | null | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
ff3c6025d168a43128fa1d5f45798123bd007331 | 3,474 | py | Python | random_eraser.py | mariusarvinte/robust-face-verification | 6aad8d81e98e92f1036c2ba534fec719353b8b77 | [
"MIT"
] | 2 | 2020-08-06T07:02:39.000Z | 2020-10-26T23:43:17.000Z | random_eraser.py | flyingcat901/robust-face-verification | 6aad8d81e98e92f1036c2ba534fec719353b8b77 | [
"MIT"
] | null | null | null | random_eraser.py | flyingcat901/robust-face-verification | 6aad8d81e98e92f1036c2ba534fec719353b8b77 | [
"MIT"
] | 1 | 2020-07-15T00:28:48.000Z | 2020-07-15T00:28:48.000Z | import numpy as np
def get_random_eraser(p=0.5, s_l=0.02, s_h=0.4, r_1=0.3, r_2=1/0.3, v_l=0, v_h=255, pixel_level=False):
def eraser(input_img):
img_h, img_w, img_c = input_img.shape
p_1 = np.random.rand()
if p_1 > p:
return input_img
while True:
s = np.random.uniform(s_l, s_h) * img_h * img_w
r = np.random.uniform(r_1, r_2)
w = int(np.sqrt(s / r))
h = int(np.sqrt(s * r))
left = np.random.randint(0, img_w)
top = np.random.randint(0, img_h)
if left + w <= img_w and top + h <= img_h:
break
if pixel_level:
c = np.random.uniform(v_l, v_h, (h, w, img_c))
else:
c = np.random.uniform(v_l, v_h)
input_img[top:top + h, left:left + w, :] = c
return input_img
return eraser
def get_random_eraser_and_mask(p=0.5, s_l=0.02, s_h=0.4, r_1=0.3, r_2=1/0.3, v_l=0, v_h=255, pixel_level=False):
def eraser(input_img):
img_h, img_w, img_c = input_img.shape
# Instantiate mask
output_mask = np.zeros((img_h, img_w, img_c))
p_1 = np.random.rand()
if p_1 > p:
return input_img, output_mask
while True:
s = np.random.uniform(s_l, s_h) * img_h * img_w
r = np.random.uniform(r_1, r_2)
w = int(np.sqrt(s / r))
h = int(np.sqrt(s * r))
left = np.random.randint(0, img_w)
top = np.random.randint(0, img_h)
if left + w <= img_w and top + h <= img_h:
break
if pixel_level:
c = np.random.uniform(v_l, v_h, (h, w, img_c))
else:
c = np.random.uniform(v_l, v_h)
input_img[top:top + h, left:left + w, :] = c
# Fill mask as well
output_mask[top:top + h, left:left + w, :] = 1
return input_img, output_mask
return eraser
def get_random_mask(p=0.5, s_l=0.02, s_h=0.4, r_1=0.3, r_2=1/0.3, v_l=0, v_h=255, pixel_level=False):
def eraser(input_img):
img_h, img_w, img_c = input_img.shape
# Instantiate mask
output_mask = np.zeros((img_h, img_w, img_c))
p_1 = np.random.rand()
if p_1 > p:
return input_img, output_mask
while True:
s = np.random.uniform(s_l, s_h) * img_h * img_w
r = np.random.uniform(r_1, r_2)
w = int(np.sqrt(s / r))
h = int(np.sqrt(s * r))
left = np.random.randint(0, img_w)
top = np.random.randint(0, img_h)
if left + w <= img_w and top + h <= img_h:
break
if pixel_level:
c = np.random.uniform(v_l, v_h, (h, w, img_c))
else:
c = np.random.uniform(v_l, v_h)
input_img[top:top + h, left:left + w, :] = c
# Fill mask as well
output_mask[top:top + h, left:left + w, :] = 1
return input_img, output_mask
return eraser
def apply_random_eraser_and_mask(eraser, input_img):
# Batch size is always first dimension
batch_size = input_img.shape[0]
# Instantiate output arrays
output_img = np.zeros(input_img.shape)
output_mask = np.zeros(input_img.shape)
# Call eraser for each image
for img_idx in range(batch_size):
output_img[img_idx], output_mask[img_idx] = eraser(input_img[img_idx])
return output_img, output_mask
| 29.692308 | 112 | 0.543178 | 597 | 3,474 | 2.922948 | 0.108878 | 0.096275 | 0.103152 | 0.036676 | 0.82063 | 0.778797 | 0.778797 | 0.778797 | 0.778797 | 0.778797 | 0 | 0.032453 | 0.334773 | 3,474 | 116 | 113 | 29.948276 | 0.722631 | 0.045769 | 0 | 0.858974 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.089744 | false | 0 | 0.012821 | 0 | 0.230769 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
ff7fdb40efea42f73fd01b0c06843bea2f0af8e8 | 875 | py | Python | AdventOfCode2015/Day12/Day12.py | MattTitmas/AdventOfCode | 36be4f6bf973f77ff93b08dc69c977bb11951f27 | [
"MIT"
] | null | null | null | AdventOfCode2015/Day12/Day12.py | MattTitmas/AdventOfCode | 36be4f6bf973f77ff93b08dc69c977bb11951f27 | [
"MIT"
] | null | null | null | AdventOfCode2015/Day12/Day12.py | MattTitmas/AdventOfCode | 36be4f6bf973f77ff93b08dc69c977bb11951f27 | [
"MIT"
] | null | null | null | from json import loads
def part1():
value = loads(open("input.txt","r").read())
def findNos(data):
if type(data) == type(dict()):
return sum(map(findNos, data.values()))
if type(data) == type(list()):
return sum(map(findNos, data))
if type(data) == int:
return data
return 0
return findNos(value)
def part2():
value = loads(open("input.txt","r").read())
def findNos(data):
if type(data) == type(dict()):
if 'red' in data.values():
return 0
return sum(map(findNos, data.values()))
if type(data) == type(list()):
return sum(map(findNos, data))
if type(data) == int:
return data
return 0
return findNos(value)
print(f"answer to part1: {part1()}")
print(f"answer to part2: {part2()}")
| 25.735294 | 51 | 0.526857 | 111 | 875 | 4.153153 | 0.279279 | 0.143167 | 0.130152 | 0.147505 | 0.767896 | 0.767896 | 0.767896 | 0.767896 | 0.767896 | 0.767896 | 0 | 0.014975 | 0.313143 | 875 | 33 | 52 | 26.515152 | 0.75208 | 0 | 0 | 0.777778 | 0 | 0 | 0.085812 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.148148 | false | 0 | 0.037037 | 0 | 0.592593 | 0.074074 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 7 |
ff940f3dc2c3db683286a2ea89b4f0cebeb64932 | 68,257 | py | Python | lib/services/clouddb/ncloud_clouddb/api/v2_api.py | NaverCloudPlatform/ncloud-sdk-python | 5976dfabd205c615fcf57ac2f0ab67313ee6953c | [
"MIT"
] | 12 | 2018-11-20T04:30:49.000Z | 2021-11-09T12:34:26.000Z | lib/services/clouddb/ncloud_clouddb/api/v2_api.py | NaverCloudPlatform/ncloud-sdk-python | 5976dfabd205c615fcf57ac2f0ab67313ee6953c | [
"MIT"
] | 1 | 2019-01-24T15:56:15.000Z | 2019-05-31T07:56:55.000Z | lib/services/clouddb/ncloud_clouddb/api/v2_api.py | NaverCloudPlatform/ncloud-sdk-python | 5976dfabd205c615fcf57ac2f0ab67313ee6953c | [
"MIT"
] | 6 | 2018-06-29T03:45:50.000Z | 2022-03-18T01:51:45.000Z | # coding: utf-8
"""
clouddb
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import re # noqa: F401
# python 2 and python 3 compatibility library
import six
from ncloud_clouddb.api_client import ApiClient
class V2Api(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
Ref: https://github.com/swagger-api/swagger-codegen
"""
def __init__(self, api_client=None):
if api_client is None:
api_client = ApiClient()
self.api_client = api_client
def create_cloud_db_instance(self, create_cloud_db_instance_request, **kwargs): # noqa: E501
"""create_cloud_db_instance # noqa: E501
CloudDB인스턴스생성 # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async=True
>>> thread = api.create_cloud_db_instance(create_cloud_db_instance_request, async=True)
>>> result = thread.get()
:param async bool
:param CreateCloudDBInstanceRequest create_cloud_db_instance_request: createCloudDBInstanceRequest (required)
:return: CreateCloudDBInstanceResponse
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async'):
return self.create_cloud_db_instance_with_http_info(create_cloud_db_instance_request, **kwargs) # noqa: E501
else:
(data) = self.create_cloud_db_instance_with_http_info(create_cloud_db_instance_request, **kwargs) # noqa: E501
return data
def create_cloud_db_instance_with_http_info(self, create_cloud_db_instance_request, **kwargs): # noqa: E501
"""create_cloud_db_instance # noqa: E501
CloudDB인스턴스생성 # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async=True
>>> thread = api.create_cloud_db_instance_with_http_info(create_cloud_db_instance_request, async=True)
>>> result = thread.get()
:param async bool
:param CreateCloudDBInstanceRequest create_cloud_db_instance_request: createCloudDBInstanceRequest (required)
:return: CreateCloudDBInstanceResponse
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['create_cloud_db_instance_request'] # noqa: E501
all_params.append('async')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method create_cloud_db_instance" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'create_cloud_db_instance_request' is set
if ('create_cloud_db_instance_request' not in params or
params['create_cloud_db_instance_request'] is None):
raise ValueError("Missing the required parameter `create_cloud_db_instance_request` when calling `create_cloud_db_instance`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
query_params.append(('responseFormatType', 'json')) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'create_cloud_db_instance_request' in params:
body_params = params['create_cloud_db_instance_request']
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/x-www-form-urlencoded']) # noqa: E501
# Authentication setting
auth_settings = ['x-ncp-iam'] # noqa: E501
return self.api_client.call_api(
'/createCloudDBInstance', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='CreateCloudDBInstanceResponse', # noqa: E501
auth_settings=auth_settings,
_async=params.get('async'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def delete_cloud_db_server_instance(self, delete_cloud_db_server_instance_request, **kwargs): # noqa: E501
"""delete_cloud_db_server_instance # noqa: E501
CloudDB서버인스턴스삭제 # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async=True
>>> thread = api.delete_cloud_db_server_instance(delete_cloud_db_server_instance_request, async=True)
>>> result = thread.get()
:param async bool
:param DeleteCloudDBServerInstanceRequest delete_cloud_db_server_instance_request: deleteCloudDBServerInstanceRequest (required)
:return: DeleteCloudDBServerInstanceResponse
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async'):
return self.delete_cloud_db_server_instance_with_http_info(delete_cloud_db_server_instance_request, **kwargs) # noqa: E501
else:
(data) = self.delete_cloud_db_server_instance_with_http_info(delete_cloud_db_server_instance_request, **kwargs) # noqa: E501
return data
def delete_cloud_db_server_instance_with_http_info(self, delete_cloud_db_server_instance_request, **kwargs): # noqa: E501
"""delete_cloud_db_server_instance # noqa: E501
CloudDB서버인스턴스삭제 # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async=True
>>> thread = api.delete_cloud_db_server_instance_with_http_info(delete_cloud_db_server_instance_request, async=True)
>>> result = thread.get()
:param async bool
:param DeleteCloudDBServerInstanceRequest delete_cloud_db_server_instance_request: deleteCloudDBServerInstanceRequest (required)
:return: DeleteCloudDBServerInstanceResponse
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['delete_cloud_db_server_instance_request'] # noqa: E501
all_params.append('async')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method delete_cloud_db_server_instance" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'delete_cloud_db_server_instance_request' is set
if ('delete_cloud_db_server_instance_request' not in params or
params['delete_cloud_db_server_instance_request'] is None):
raise ValueError("Missing the required parameter `delete_cloud_db_server_instance_request` when calling `delete_cloud_db_server_instance`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
query_params.append(('responseFormatType', 'json')) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'delete_cloud_db_server_instance_request' in params:
body_params = params['delete_cloud_db_server_instance_request']
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/x-www-form-urlencoded']) # noqa: E501
# Authentication setting
auth_settings = ['x-ncp-iam'] # noqa: E501
return self.api_client.call_api(
'/deleteCloudDBServerInstance', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='DeleteCloudDBServerInstanceResponse', # noqa: E501
auth_settings=auth_settings,
_async=params.get('async'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def download_dms_file(self, download_dms_file_request, **kwargs): # noqa: E501
"""download_dms_file # noqa: E501
DMS파일다운로드 # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async=True
>>> thread = api.download_dms_file(download_dms_file_request, async=True)
>>> result = thread.get()
:param async bool
:param DownloadDmsFileRequest download_dms_file_request: downloadDmsFileRequest (required)
:return: DownloadDmsFileResponse
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async'):
return self.download_dms_file_with_http_info(download_dms_file_request, **kwargs) # noqa: E501
else:
(data) = self.download_dms_file_with_http_info(download_dms_file_request, **kwargs) # noqa: E501
return data
def download_dms_file_with_http_info(self, download_dms_file_request, **kwargs): # noqa: E501
"""download_dms_file # noqa: E501
DMS파일다운로드 # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async=True
>>> thread = api.download_dms_file_with_http_info(download_dms_file_request, async=True)
>>> result = thread.get()
:param async bool
:param DownloadDmsFileRequest download_dms_file_request: downloadDmsFileRequest (required)
:return: DownloadDmsFileResponse
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['download_dms_file_request'] # noqa: E501
all_params.append('async')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method download_dms_file" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'download_dms_file_request' is set
if ('download_dms_file_request' not in params or
params['download_dms_file_request'] is None):
raise ValueError("Missing the required parameter `download_dms_file_request` when calling `download_dms_file`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
query_params.append(('responseFormatType', 'json')) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'download_dms_file_request' in params:
body_params = params['download_dms_file_request']
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/x-www-form-urlencoded']) # noqa: E501
# Authentication setting
auth_settings = ['x-ncp-iam'] # noqa: E501
return self.api_client.call_api(
'/downloadDmsFile', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='DownloadDmsFileResponse', # noqa: E501
auth_settings=auth_settings,
_async=params.get('async'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def flush_cloud_db_instance(self, flush_cloud_db_instance_request, **kwargs): # noqa: E501
"""flush_cloud_db_instance # noqa: E501
CloudDB Flush # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async=True
>>> thread = api.flush_cloud_db_instance(flush_cloud_db_instance_request, async=True)
>>> result = thread.get()
:param async bool
:param FlushCloudDBInstanceRequest flush_cloud_db_instance_request: flushCloudDBInstanceRequest (required)
:return: FlushCloudDBInstanceResponse
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async'):
return self.flush_cloud_db_instance_with_http_info(flush_cloud_db_instance_request, **kwargs) # noqa: E501
else:
(data) = self.flush_cloud_db_instance_with_http_info(flush_cloud_db_instance_request, **kwargs) # noqa: E501
return data
def flush_cloud_db_instance_with_http_info(self, flush_cloud_db_instance_request, **kwargs): # noqa: E501
"""flush_cloud_db_instance # noqa: E501
CloudDB Flush # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async=True
>>> thread = api.flush_cloud_db_instance_with_http_info(flush_cloud_db_instance_request, async=True)
>>> result = thread.get()
:param async bool
:param FlushCloudDBInstanceRequest flush_cloud_db_instance_request: flushCloudDBInstanceRequest (required)
:return: FlushCloudDBInstanceResponse
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['flush_cloud_db_instance_request'] # noqa: E501
all_params.append('async')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method flush_cloud_db_instance" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'flush_cloud_db_instance_request' is set
if ('flush_cloud_db_instance_request' not in params or
params['flush_cloud_db_instance_request'] is None):
raise ValueError("Missing the required parameter `flush_cloud_db_instance_request` when calling `flush_cloud_db_instance`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
query_params.append(('responseFormatType', 'json')) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'flush_cloud_db_instance_request' in params:
body_params = params['flush_cloud_db_instance_request']
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/x-www-form-urlencoded']) # noqa: E501
# Authentication setting
auth_settings = ['x-ncp-iam'] # noqa: E501
return self.api_client.call_api(
'/flushCloudDBInstance', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='FlushCloudDBInstanceResponse', # noqa: E501
auth_settings=auth_settings,
_async=params.get('async'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_backup_list(self, get_backup_list_request, **kwargs): # noqa: E501
"""get_backup_list # noqa: E501
백업리스트조회 # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async=True
>>> thread = api.get_backup_list(get_backup_list_request, async=True)
>>> result = thread.get()
:param async bool
:param GetBackupListRequest get_backup_list_request: getBackupListRequest (required)
:return: GetBackupListResponse
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async'):
return self.get_backup_list_with_http_info(get_backup_list_request, **kwargs) # noqa: E501
else:
(data) = self.get_backup_list_with_http_info(get_backup_list_request, **kwargs) # noqa: E501
return data
def get_backup_list_with_http_info(self, get_backup_list_request, **kwargs): # noqa: E501
"""get_backup_list # noqa: E501
백업리스트조회 # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async=True
>>> thread = api.get_backup_list_with_http_info(get_backup_list_request, async=True)
>>> result = thread.get()
:param async bool
:param GetBackupListRequest get_backup_list_request: getBackupListRequest (required)
:return: GetBackupListResponse
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['get_backup_list_request'] # noqa: E501
all_params.append('async')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_backup_list" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'get_backup_list_request' is set
if ('get_backup_list_request' not in params or
params['get_backup_list_request'] is None):
raise ValueError("Missing the required parameter `get_backup_list_request` when calling `get_backup_list`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
query_params.append(('responseFormatType', 'json')) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'get_backup_list_request' in params:
body_params = params['get_backup_list_request']
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/x-www-form-urlencoded']) # noqa: E501
# Authentication setting
auth_settings = ['x-ncp-iam'] # noqa: E501
return self.api_client.call_api(
'/getBackupList', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='GetBackupListResponse', # noqa: E501
auth_settings=auth_settings,
_async=params.get('async'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_cloud_db_config_group_list(self, get_cloud_db_config_group_list_request, **kwargs): # noqa: E501
"""get_cloud_db_config_group_list # noqa: E501
CloudDB설정그룹리스트조회 # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async=True
>>> thread = api.get_cloud_db_config_group_list(get_cloud_db_config_group_list_request, async=True)
>>> result = thread.get()
:param async bool
:param GetCloudDBConfigGroupListRequest get_cloud_db_config_group_list_request: getCloudDBConfigGroupListRequest (required)
:return: GetCloudDBConfigGroupListResponse
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async'):
return self.get_cloud_db_config_group_list_with_http_info(get_cloud_db_config_group_list_request, **kwargs) # noqa: E501
else:
(data) = self.get_cloud_db_config_group_list_with_http_info(get_cloud_db_config_group_list_request, **kwargs) # noqa: E501
return data
def get_cloud_db_config_group_list_with_http_info(self, get_cloud_db_config_group_list_request, **kwargs): # noqa: E501
"""get_cloud_db_config_group_list # noqa: E501
CloudDB설정그룹리스트조회 # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async=True
>>> thread = api.get_cloud_db_config_group_list_with_http_info(get_cloud_db_config_group_list_request, async=True)
>>> result = thread.get()
:param async bool
:param GetCloudDBConfigGroupListRequest get_cloud_db_config_group_list_request: getCloudDBConfigGroupListRequest (required)
:return: GetCloudDBConfigGroupListResponse
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['get_cloud_db_config_group_list_request'] # noqa: E501
all_params.append('async')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_cloud_db_config_group_list" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'get_cloud_db_config_group_list_request' is set
if ('get_cloud_db_config_group_list_request' not in params or
params['get_cloud_db_config_group_list_request'] is None):
raise ValueError("Missing the required parameter `get_cloud_db_config_group_list_request` when calling `get_cloud_db_config_group_list`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
query_params.append(('responseFormatType', 'json')) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'get_cloud_db_config_group_list_request' in params:
body_params = params['get_cloud_db_config_group_list_request']
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/x-www-form-urlencoded']) # noqa: E501
# Authentication setting
auth_settings = ['x-ncp-iam'] # noqa: E501
return self.api_client.call_api(
'/getCloudDBConfigGroupList', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='GetCloudDBConfigGroupListResponse', # noqa: E501
auth_settings=auth_settings,
_async=params.get('async'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_cloud_db_image_product_list(self, get_cloud_db_image_product_list_request, **kwargs): # noqa: E501
"""get_cloud_db_image_product_list # noqa: E501
CloudDB이미지상품리스트 # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async=True
>>> thread = api.get_cloud_db_image_product_list(get_cloud_db_image_product_list_request, async=True)
>>> result = thread.get()
:param async bool
:param GetCloudDBImageProductListRequest get_cloud_db_image_product_list_request: getCloudDBImageProductListRequest (required)
:return: GetCloudDBImageProductListResponse
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async'):
return self.get_cloud_db_image_product_list_with_http_info(get_cloud_db_image_product_list_request, **kwargs) # noqa: E501
else:
(data) = self.get_cloud_db_image_product_list_with_http_info(get_cloud_db_image_product_list_request, **kwargs) # noqa: E501
return data
def get_cloud_db_image_product_list_with_http_info(self, get_cloud_db_image_product_list_request, **kwargs): # noqa: E501
"""get_cloud_db_image_product_list # noqa: E501
CloudDB이미지상품리스트 # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async=True
>>> thread = api.get_cloud_db_image_product_list_with_http_info(get_cloud_db_image_product_list_request, async=True)
>>> result = thread.get()
:param async bool
:param GetCloudDBImageProductListRequest get_cloud_db_image_product_list_request: getCloudDBImageProductListRequest (required)
:return: GetCloudDBImageProductListResponse
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['get_cloud_db_image_product_list_request'] # noqa: E501
all_params.append('async')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_cloud_db_image_product_list" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'get_cloud_db_image_product_list_request' is set
if ('get_cloud_db_image_product_list_request' not in params or
params['get_cloud_db_image_product_list_request'] is None):
raise ValueError("Missing the required parameter `get_cloud_db_image_product_list_request` when calling `get_cloud_db_image_product_list`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
query_params.append(('responseFormatType', 'json')) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'get_cloud_db_image_product_list_request' in params:
body_params = params['get_cloud_db_image_product_list_request']
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/x-www-form-urlencoded']) # noqa: E501
# Authentication setting
auth_settings = ['x-ncp-iam'] # noqa: E501
return self.api_client.call_api(
'/getCloudDBImageProductList', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='GetCloudDBImageProductListResponse', # noqa: E501
auth_settings=auth_settings,
_async=params.get('async'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_cloud_db_instance_list(self, get_cloud_db_instance_list_request, **kwargs): # noqa: E501
"""get_cloud_db_instance_list # noqa: E501
CloudDB인스턴스리스트조회 # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async=True
>>> thread = api.get_cloud_db_instance_list(get_cloud_db_instance_list_request, async=True)
>>> result = thread.get()
:param async bool
:param GetCloudDBInstanceListRequest get_cloud_db_instance_list_request: getCloudDBInstanceListRequest (required)
:return: GetCloudDBInstanceListResponse
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async'):
return self.get_cloud_db_instance_list_with_http_info(get_cloud_db_instance_list_request, **kwargs) # noqa: E501
else:
(data) = self.get_cloud_db_instance_list_with_http_info(get_cloud_db_instance_list_request, **kwargs) # noqa: E501
return data
def get_cloud_db_instance_list_with_http_info(self, get_cloud_db_instance_list_request, **kwargs): # noqa: E501
"""get_cloud_db_instance_list # noqa: E501
CloudDB인스턴스리스트조회 # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async=True
>>> thread = api.get_cloud_db_instance_list_with_http_info(get_cloud_db_instance_list_request, async=True)
>>> result = thread.get()
:param async bool
:param GetCloudDBInstanceListRequest get_cloud_db_instance_list_request: getCloudDBInstanceListRequest (required)
:return: GetCloudDBInstanceListResponse
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['get_cloud_db_instance_list_request'] # noqa: E501
all_params.append('async')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_cloud_db_instance_list" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'get_cloud_db_instance_list_request' is set
if ('get_cloud_db_instance_list_request' not in params or
params['get_cloud_db_instance_list_request'] is None):
raise ValueError("Missing the required parameter `get_cloud_db_instance_list_request` when calling `get_cloud_db_instance_list`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
query_params.append(('responseFormatType', 'json')) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'get_cloud_db_instance_list_request' in params:
body_params = params['get_cloud_db_instance_list_request']
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/x-www-form-urlencoded']) # noqa: E501
# Authentication setting
auth_settings = ['x-ncp-iam'] # noqa: E501
return self.api_client.call_api(
'/getCloudDBInstanceList', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='GetCloudDBInstanceListResponse', # noqa: E501
auth_settings=auth_settings,
_async=params.get('async'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_cloud_db_product_list(self, get_cloud_db_product_list_request, **kwargs): # noqa: E501
"""get_cloud_db_product_list # noqa: E501
CloudDB상품리스트조회 # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async=True
>>> thread = api.get_cloud_db_product_list(get_cloud_db_product_list_request, async=True)
>>> result = thread.get()
:param async bool
:param GetCloudDBProductListRequest get_cloud_db_product_list_request: getCloudDBProductListRequest (required)
:return: GetCloudDBProductListResponse
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async'):
return self.get_cloud_db_product_list_with_http_info(get_cloud_db_product_list_request, **kwargs) # noqa: E501
else:
(data) = self.get_cloud_db_product_list_with_http_info(get_cloud_db_product_list_request, **kwargs) # noqa: E501
return data
def get_cloud_db_product_list_with_http_info(self, get_cloud_db_product_list_request, **kwargs): # noqa: E501
"""get_cloud_db_product_list # noqa: E501
CloudDB상품리스트조회 # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async=True
>>> thread = api.get_cloud_db_product_list_with_http_info(get_cloud_db_product_list_request, async=True)
>>> result = thread.get()
:param async bool
:param GetCloudDBProductListRequest get_cloud_db_product_list_request: getCloudDBProductListRequest (required)
:return: GetCloudDBProductListResponse
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['get_cloud_db_product_list_request'] # noqa: E501
all_params.append('async')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_cloud_db_product_list" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'get_cloud_db_product_list_request' is set
if ('get_cloud_db_product_list_request' not in params or
params['get_cloud_db_product_list_request'] is None):
raise ValueError("Missing the required parameter `get_cloud_db_product_list_request` when calling `get_cloud_db_product_list`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
query_params.append(('responseFormatType', 'json')) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'get_cloud_db_product_list_request' in params:
body_params = params['get_cloud_db_product_list_request']
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/x-www-form-urlencoded']) # noqa: E501
# Authentication setting
auth_settings = ['x-ncp-iam'] # noqa: E501
return self.api_client.call_api(
'/getCloudDBProductList', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='GetCloudDBProductListResponse', # noqa: E501
auth_settings=auth_settings,
_async=params.get('async'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_dms_operation(self, get_dms_operation_request, **kwargs): # noqa: E501
"""get_dms_operation # noqa: E501
DMS상태조회 # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async=True
>>> thread = api.get_dms_operation(get_dms_operation_request, async=True)
>>> result = thread.get()
:param async bool
:param GetDmsOperationRequest get_dms_operation_request: getDmsOperationRequest (required)
:return: GetDmsOperationResponse
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async'):
return self.get_dms_operation_with_http_info(get_dms_operation_request, **kwargs) # noqa: E501
else:
(data) = self.get_dms_operation_with_http_info(get_dms_operation_request, **kwargs) # noqa: E501
return data
def get_dms_operation_with_http_info(self, get_dms_operation_request, **kwargs): # noqa: E501
"""get_dms_operation # noqa: E501
DMS상태조회 # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async=True
>>> thread = api.get_dms_operation_with_http_info(get_dms_operation_request, async=True)
>>> result = thread.get()
:param async bool
:param GetDmsOperationRequest get_dms_operation_request: getDmsOperationRequest (required)
:return: GetDmsOperationResponse
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['get_dms_operation_request'] # noqa: E501
all_params.append('async')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_dms_operation" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'get_dms_operation_request' is set
if ('get_dms_operation_request' not in params or
params['get_dms_operation_request'] is None):
raise ValueError("Missing the required parameter `get_dms_operation_request` when calling `get_dms_operation`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
query_params.append(('responseFormatType', 'json')) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'get_dms_operation_request' in params:
body_params = params['get_dms_operation_request']
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/x-www-form-urlencoded']) # noqa: E501
# Authentication setting
auth_settings = ['x-ncp-iam'] # noqa: E501
return self.api_client.call_api(
'/getDmsOperation', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='GetDmsOperationResponse', # noqa: E501
auth_settings=auth_settings,
_async=params.get('async'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_object_storage_backup_list(self, get_object_storage_backup_list_request, **kwargs): # noqa: E501
"""get_object_storage_backup_list # noqa: E501
오브젝트스토리지백업리스트조회 # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async=True
>>> thread = api.get_object_storage_backup_list(get_object_storage_backup_list_request, async=True)
>>> result = thread.get()
:param async bool
:param GetObjectStorageBackupListRequest get_object_storage_backup_list_request: getObjectStorageBackupListRequest (required)
:return: GetObjectStorageBackupListResponse
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async'):
return self.get_object_storage_backup_list_with_http_info(get_object_storage_backup_list_request, **kwargs) # noqa: E501
else:
(data) = self.get_object_storage_backup_list_with_http_info(get_object_storage_backup_list_request, **kwargs) # noqa: E501
return data
def get_object_storage_backup_list_with_http_info(self, get_object_storage_backup_list_request, **kwargs): # noqa: E501
"""get_object_storage_backup_list # noqa: E501
오브젝트스토리지백업리스트조회 # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async=True
>>> thread = api.get_object_storage_backup_list_with_http_info(get_object_storage_backup_list_request, async=True)
>>> result = thread.get()
:param async bool
:param GetObjectStorageBackupListRequest get_object_storage_backup_list_request: getObjectStorageBackupListRequest (required)
:return: GetObjectStorageBackupListResponse
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['get_object_storage_backup_list_request'] # noqa: E501
all_params.append('async')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_object_storage_backup_list" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'get_object_storage_backup_list_request' is set
if ('get_object_storage_backup_list_request' not in params or
params['get_object_storage_backup_list_request'] is None):
raise ValueError("Missing the required parameter `get_object_storage_backup_list_request` when calling `get_object_storage_backup_list`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
query_params.append(('responseFormatType', 'json')) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'get_object_storage_backup_list_request' in params:
body_params = params['get_object_storage_backup_list_request']
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/x-www-form-urlencoded']) # noqa: E501
# Authentication setting
auth_settings = ['x-ncp-iam'] # noqa: E501
return self.api_client.call_api(
'/getObjectStorageBackupList', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='GetObjectStorageBackupListResponse', # noqa: E501
auth_settings=auth_settings,
_async=params.get('async'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def reboot_cloud_db_server_instance(self, reboot_cloud_db_server_instance_request, **kwargs): # noqa: E501
"""reboot_cloud_db_server_instance # noqa: E501
CloudDB서버인스턴스재부팅 # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async=True
>>> thread = api.reboot_cloud_db_server_instance(reboot_cloud_db_server_instance_request, async=True)
>>> result = thread.get()
:param async bool
:param RebootCloudDBServerInstanceRequest reboot_cloud_db_server_instance_request: rebootCloudDBServerInstanceRequest (required)
:return: RebootCloudDBServerInstanceResponse
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async'):
return self.reboot_cloud_db_server_instance_with_http_info(reboot_cloud_db_server_instance_request, **kwargs) # noqa: E501
else:
(data) = self.reboot_cloud_db_server_instance_with_http_info(reboot_cloud_db_server_instance_request, **kwargs) # noqa: E501
return data
def reboot_cloud_db_server_instance_with_http_info(self, reboot_cloud_db_server_instance_request, **kwargs): # noqa: E501
"""reboot_cloud_db_server_instance # noqa: E501
CloudDB서버인스턴스재부팅 # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async=True
>>> thread = api.reboot_cloud_db_server_instance_with_http_info(reboot_cloud_db_server_instance_request, async=True)
>>> result = thread.get()
:param async bool
:param RebootCloudDBServerInstanceRequest reboot_cloud_db_server_instance_request: rebootCloudDBServerInstanceRequest (required)
:return: RebootCloudDBServerInstanceResponse
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['reboot_cloud_db_server_instance_request'] # noqa: E501
all_params.append('async')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method reboot_cloud_db_server_instance" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'reboot_cloud_db_server_instance_request' is set
if ('reboot_cloud_db_server_instance_request' not in params or
params['reboot_cloud_db_server_instance_request'] is None):
raise ValueError("Missing the required parameter `reboot_cloud_db_server_instance_request` when calling `reboot_cloud_db_server_instance`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
query_params.append(('responseFormatType', 'json')) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'reboot_cloud_db_server_instance_request' in params:
body_params = params['reboot_cloud_db_server_instance_request']
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/x-www-form-urlencoded']) # noqa: E501
# Authentication setting
auth_settings = ['x-ncp-iam'] # noqa: E501
return self.api_client.call_api(
'/rebootCloudDBServerInstance', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='RebootCloudDBServerInstanceResponse', # noqa: E501
auth_settings=auth_settings,
_async=params.get('async'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def restore_dms_database(self, restore_dms_database_request, **kwargs): # noqa: E501
"""restore_dms_database # noqa: E501
DMS데이터베이스복구 # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async=True
>>> thread = api.restore_dms_database(restore_dms_database_request, async=True)
>>> result = thread.get()
:param async bool
:param RestoreDmsDatabaseRequest restore_dms_database_request: restoreDmsDatabaseRequest (required)
:return: RestoreDmsDatabaseResponse
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async'):
return self.restore_dms_database_with_http_info(restore_dms_database_request, **kwargs) # noqa: E501
else:
(data) = self.restore_dms_database_with_http_info(restore_dms_database_request, **kwargs) # noqa: E501
return data
def restore_dms_database_with_http_info(self, restore_dms_database_request, **kwargs): # noqa: E501
"""restore_dms_database # noqa: E501
DMS데이터베이스복구 # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async=True
>>> thread = api.restore_dms_database_with_http_info(restore_dms_database_request, async=True)
>>> result = thread.get()
:param async bool
:param RestoreDmsDatabaseRequest restore_dms_database_request: restoreDmsDatabaseRequest (required)
:return: RestoreDmsDatabaseResponse
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['restore_dms_database_request'] # noqa: E501
all_params.append('async')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method restore_dms_database" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'restore_dms_database_request' is set
if ('restore_dms_database_request' not in params or
params['restore_dms_database_request'] is None):
raise ValueError("Missing the required parameter `restore_dms_database_request` when calling `restore_dms_database`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
query_params.append(('responseFormatType', 'json')) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'restore_dms_database_request' in params:
body_params = params['restore_dms_database_request']
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/x-www-form-urlencoded']) # noqa: E501
# Authentication setting
auth_settings = ['x-ncp-iam'] # noqa: E501
return self.api_client.call_api(
'/restoreDmsDatabase', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='RestoreDmsDatabaseResponse', # noqa: E501
auth_settings=auth_settings,
_async=params.get('async'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def restore_dms_transaction_log(self, restore_dms_transaction_log_request, **kwargs): # noqa: E501
"""restore_dms_transaction_log # noqa: E501
DMS트랜잭션로그복구 # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async=True
>>> thread = api.restore_dms_transaction_log(restore_dms_transaction_log_request, async=True)
>>> result = thread.get()
:param async bool
:param RestoreDmsTransactionLogRequest restore_dms_transaction_log_request: restoreDmsTransactionLogRequest (required)
:return: RestoreDmsTransactionLogResponse
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async'):
return self.restore_dms_transaction_log_with_http_info(restore_dms_transaction_log_request, **kwargs) # noqa: E501
else:
(data) = self.restore_dms_transaction_log_with_http_info(restore_dms_transaction_log_request, **kwargs) # noqa: E501
return data
def restore_dms_transaction_log_with_http_info(self, restore_dms_transaction_log_request, **kwargs): # noqa: E501
"""restore_dms_transaction_log # noqa: E501
DMS트랜잭션로그복구 # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async=True
>>> thread = api.restore_dms_transaction_log_with_http_info(restore_dms_transaction_log_request, async=True)
>>> result = thread.get()
:param async bool
:param RestoreDmsTransactionLogRequest restore_dms_transaction_log_request: restoreDmsTransactionLogRequest (required)
:return: RestoreDmsTransactionLogResponse
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['restore_dms_transaction_log_request'] # noqa: E501
all_params.append('async')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method restore_dms_transaction_log" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'restore_dms_transaction_log_request' is set
if ('restore_dms_transaction_log_request' not in params or
params['restore_dms_transaction_log_request'] is None):
raise ValueError("Missing the required parameter `restore_dms_transaction_log_request` when calling `restore_dms_transaction_log`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
query_params.append(('responseFormatType', 'json')) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'restore_dms_transaction_log_request' in params:
body_params = params['restore_dms_transaction_log_request']
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/x-www-form-urlencoded']) # noqa: E501
# Authentication setting
auth_settings = ['x-ncp-iam'] # noqa: E501
return self.api_client.call_api(
'/restoreDmsTransactionLog', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='RestoreDmsTransactionLogResponse', # noqa: E501
auth_settings=auth_settings,
_async=params.get('async'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def set_object_storage_info(self, set_object_storage_info_request, **kwargs): # noqa: E501
"""set_object_storage_info # noqa: E501
오브젝트스토리지정보설정 # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async=True
>>> thread = api.set_object_storage_info(set_object_storage_info_request, async=True)
>>> result = thread.get()
:param async bool
:param SetObjectStorageInfoRequest set_object_storage_info_request: setObjectStorageInfoRequest (required)
:return: SetObjectStorageInfoResponse
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async'):
return self.set_object_storage_info_with_http_info(set_object_storage_info_request, **kwargs) # noqa: E501
else:
(data) = self.set_object_storage_info_with_http_info(set_object_storage_info_request, **kwargs) # noqa: E501
return data
def set_object_storage_info_with_http_info(self, set_object_storage_info_request, **kwargs): # noqa: E501
"""set_object_storage_info # noqa: E501
오브젝트스토리지정보설정 # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async=True
>>> thread = api.set_object_storage_info_with_http_info(set_object_storage_info_request, async=True)
>>> result = thread.get()
:param async bool
:param SetObjectStorageInfoRequest set_object_storage_info_request: setObjectStorageInfoRequest (required)
:return: SetObjectStorageInfoResponse
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['set_object_storage_info_request'] # noqa: E501
all_params.append('async')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method set_object_storage_info" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'set_object_storage_info_request' is set
if ('set_object_storage_info_request' not in params or
params['set_object_storage_info_request'] is None):
raise ValueError("Missing the required parameter `set_object_storage_info_request` when calling `set_object_storage_info`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
query_params.append(('responseFormatType', 'json')) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'set_object_storage_info_request' in params:
body_params = params['set_object_storage_info_request']
# Authentication setting
auth_settings = ['x-ncp-iam'] # noqa: E501
return self.api_client.call_api(
'/setObjectStorageInfo', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='SetObjectStorageInfoResponse', # noqa: E501
auth_settings=auth_settings,
_async=params.get('async'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def upload_dms_file(self, upload_dms_file_request, **kwargs): # noqa: E501
"""upload_dms_file # noqa: E501
DMS파일업로드 # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async=True
>>> thread = api.upload_dms_file(upload_dms_file_request, async=True)
>>> result = thread.get()
:param async bool
:param UploadDmsFileRequest upload_dms_file_request: uploadDmsFileRequest (required)
:return: UploadDmsFileResponse
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async'):
return self.upload_dms_file_with_http_info(upload_dms_file_request, **kwargs) # noqa: E501
else:
(data) = self.upload_dms_file_with_http_info(upload_dms_file_request, **kwargs) # noqa: E501
return data
def upload_dms_file_with_http_info(self, upload_dms_file_request, **kwargs): # noqa: E501
"""upload_dms_file # noqa: E501
DMS파일업로드 # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async=True
>>> thread = api.upload_dms_file_with_http_info(upload_dms_file_request, async=True)
>>> result = thread.get()
:param async bool
:param UploadDmsFileRequest upload_dms_file_request: uploadDmsFileRequest (required)
:return: UploadDmsFileResponse
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['upload_dms_file_request'] # noqa: E501
all_params.append('async')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method upload_dms_file" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'upload_dms_file_request' is set
if ('upload_dms_file_request' not in params or
params['upload_dms_file_request'] is None):
raise ValueError("Missing the required parameter `upload_dms_file_request` when calling `upload_dms_file`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
query_params.append(('responseFormatType', 'json')) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'upload_dms_file_request' in params:
body_params = params['upload_dms_file_request']
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/x-www-form-urlencoded']) # noqa: E501
# Authentication setting
auth_settings = ['x-ncp-iam'] # noqa: E501
return self.api_client.call_api(
'/uploadDmsFile', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='UploadDmsFileResponse', # noqa: E501
auth_settings=auth_settings,
_async=params.get('async'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
| 43.642583 | 165 | 0.654028 | 7,669 | 68,257 | 5.456122 | 0.029339 | 0.045503 | 0.023899 | 0.03212 | 0.968812 | 0.959778 | 0.944124 | 0.924838 | 0.904309 | 0.883254 | 0 | 0.014402 | 0.266551 | 68,257 | 1,563 | 166 | 43.670505 | 0.821405 | 0.323498 | 0 | 0.727485 | 1 | 0 | 0.232806 | 0.140723 | 0 | 0 | 0 | 0 | 0 | 1 | 0.038596 | false | 0 | 0.004678 | 0 | 0.100585 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
443351ceb7bc43de31e74657f82fcfc5f217d803 | 177 | py | Python | aula6c.py | fabiobarretopro/Aprendendo-Python | a47acf6b9fdfdad55853e620db451a6a2e61bc6f | [
"MIT"
] | null | null | null | aula6c.py | fabiobarretopro/Aprendendo-Python | a47acf6b9fdfdad55853e620db451a6a2e61bc6f | [
"MIT"
] | null | null | null | aula6c.py | fabiobarretopro/Aprendendo-Python | a47acf6b9fdfdad55853e620db451a6a2e61bc6f | [
"MIT"
] | null | null | null | from math import sin, cos, tan,radians
ang = int(input("ÂNGULO: "))
print(f"SENO: {sin(radians(ang)):.3f}\nCOSSENO: {cos(radians(ang)):.3f}\nTANGENTE: {tan(radians(ang)):.3f}")
| 44.25 | 108 | 0.672316 | 28 | 177 | 4.25 | 0.607143 | 0.336134 | 0.302521 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.018405 | 0.079096 | 177 | 3 | 109 | 59 | 0.711656 | 0 | 0 | 0 | 0 | 0.333333 | 0.59887 | 0.508475 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.333333 | 0.333333 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 7 |
924b477e7c08a57cc11a3c3ebb35c182ef014e00 | 20,440 | py | Python | JPS_SHIP_CRAWLER/sg_hk/sg_hk/spiders/get_ship_by_flag.py | mdhillmancmcl/TheWorldAvatar-CMCL-Fork | 011aee78c016b76762eaf511c78fabe3f98189f4 | [
"MIT"
] | 21 | 2021-03-08T01:58:25.000Z | 2022-03-09T15:46:16.000Z | JPS_SHIP_CRAWLER/sg_hk/sg_hk/spiders/get_ship_by_flag.py | mdhillmancmcl/TheWorldAvatar-CMCL-Fork | 011aee78c016b76762eaf511c78fabe3f98189f4 | [
"MIT"
] | 63 | 2021-05-04T15:05:30.000Z | 2022-03-23T14:32:29.000Z | JPS_SHIP_CRAWLER/sg_hk/sg_hk/spiders/get_ship_by_flag.py | mdhillmancmcl/TheWorldAvatar-CMCL-Fork | 011aee78c016b76762eaf511c78fabe3f98189f4 | [
"MIT"
] | 15 | 2021-03-08T07:52:03.000Z | 2022-03-29T04:46:20.000Z | import scrapy
class get_all_stations(scrapy.Spider):
name = "sg_ship"
def start_requests(self):
with open('./../ship-coordinates-leasure.csv', 'w') as _csv_0:
_csv_0.write('')
self.MMSI = []
with open('./../MMSI') as mmsi_file:
self.MMSI = mmsi_file.read().splitlines()
self.data_collection = []
for i in range(1,67):
url = 'https://www.vesselfinder.com/vessels?page='+ str(i) +'&type=8&flag=SG'
yield scrapy.Request(url=url, callback=self.parse)
for i in range(1,10):
url = 'https://www.vesselfinder.com/vessels?page='+ str(i) +'&type=3&flag=SG'
yield scrapy.Request(url=url, callback=self.parse)
for i in range(1,87):
url = 'https://www.vesselfinder.com/vessels?page='+ str(i) +'&type=0&flag=SG'
yield scrapy.Request(url=url, callback=self.parse)
for i in range(1,20):
url = 'https://www.vesselfinder.com/vessels?page='+ str(i) +'&type=901&flag=SG'
yield scrapy.Request(url=url, callback=self.parse)
for i in range(1,3):
url = 'https://www.vesselfinder.com/vessels?page='+ str(i) +'&type=3&flag=SG'
yield scrapy.Request(url=url, callback=self.parse)
for i in range(1,21):
url = 'https://www.vesselfinder.com/vessels?page='+ str(i) +'&type=0&flag=HK'
yield scrapy.Request(url=url, callback=self.parse)
for i in range(1,10):
url = 'https://www.vesselfinder.com/vessels?page='+ str(i) +'&type=8&flag=HK'
yield scrapy.Request(url=url, callback=self.parse)
for i in range(1,12):
url = 'https://www.vesselfinder.com/vessels?page='+ str(i) +'&type=3&flag=HK'
yield scrapy.Request(url=url, callback=self.parse)
for i in range(1,3):
url = 'https://www.vesselfinder.com/vessels?page='+ str(i) +'&type=2&flag=HK'
yield scrapy.Request(url=url, callback=self.parse)
def parse(self, response):
ship_links = response.css('a.ship-link::attr(href)').extract()
for link in ship_links:
MMSI = link.split('-')[-1].strip()
if MMSI != '0' and (MMSI not in self.MMSI):
url = 'https://www.vesselfinder.com/' + link
yield scrapy.Request(url=url, callback=self.analyze_data, meta={'MMSI': MMSI})
else:
print(MMSI, ' already exists in MMSI file')
def analyze_data(self, response):
# Check whether the ship exist the in directory ...
data = {};
MMSI = response.meta.get('MMSI')
rows = response.css('table.tparams').css('tbody').css('tr')
for row in rows:
key = row.css('td.n3::text').extract_first()
value = row.css('td.v3::text').extract_first()
if (key is not None) and (value is not None):
data[key] = value;
type = data['AIS Type']
eta = data['ETA']
imo = data['IMO / MMSI'].split(' / ')[0]
mmsi = data['IMO / MMSI'].split(' / ')[1]
callsign = data['Callsign']
length = data['Length / Beam'].split(' / ')[0]
draught = data['Current draught'].replace(' m','')
y = data['Coordinates'].split(' N/')[0]
x = data['Coordinates'].split(' N/')[1].replace(' E','').replace(' W','')
self.data_collection.append(data)
iri = 'http://www.theworldavatar.com/kb/ships/Ship-' + MMSI + '.owl#Ship-' + MMSI + ','
coordi = '"(' + data['Coordinates'].replace(' N/', ', ').replace(' E','').replace(' W','') + ')",1'
with open('./../ship-coordinates-leasure.csv', 'a') as _csv:
_csv.write(iri)
_csv.write(coordi)
_csv.write('\n')
file_content = '''<?xml version="1.0" encoding="UTF-8"?>
<rdf:RDF
xmlns:j.1="http://www.theworldavatar.com/ontology/ontocape/upper_level/system.owl#"
xmlns:j.3="http://www.theworldavatar.com/ontology/ontocape/supporting_concepts/space_and_time/space_and_time_extended.owl#"
xmlns:j.4="http://www.theworldavatar.com/ontology/ontoship/OntoShip.owl#"
xmlns:owl="http://www.w3.org/2002/07/owl#"
xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
>
<rdf:Description rdf:about="http://www.theworldavatar.com/kb/ships/#MMSI#.owl##MMSI#">
<j.4:hasMMSI rdf:resource="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#MMSIOf#MMSI#"/>
<j.4:hasPositioningDeviceType rdf:resource="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#PositioningDeviceTypeOf#MMSI#"/>
<j.4:hasCallSign>#CALLSIGN#</j.4:hasCallSign>
<j.4:hasShipName>#NAME#</j.4:hasShipName>
<j.4:hasStarboardLength rdf:resource="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#StarboardLengthOf#MMSI#"/>
<j.4:hasSternLength rdf:resource="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#SternLengthOf#MMSI#"/>
<j.3:hasGISCoordinateSystem rdf:resource="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#CoordinateSystemOf#MMSI#"/>
<rdf:type rdf:resource="http://www.theworldavatar.com/ontology/ontoship/OntoShip.owl#Ship"/>
<j.4:hasCOG rdf:resource="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#COGOf#MMSI#"/>
<j.4:hasETA rdf:resource="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#ETAOf#MMSI#"/>
<j.4:hasDraught rdf:resource="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#DraughtLengthOf#MMSI#"/>
<j.4:hasIMONumber rdf:resource="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#IMONumberOf#MMSI#"/>
<j.4:hasBowLength rdf:resource="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#BowLengthOf#MMSI#"/>
<j.3:hasTimestamp rdf:resource="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#TemporalCoordinateSystemOf#MMSI#"/>
<j.4:hasPortLength rdf:resource="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#PortLengthOf#MMSI#"/>
<j.1:hasSubsystem rdf:resource="http://www.theworldavatar.com/kb/ships/Engine-001.owl#Engine-001"/>
<j.4:hasSOG rdf:resource="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#SOGOf#MMSI#"/>
<j.4:hasPAC>0</j.4:hasPAC>
<j.4:hasDestination rdf:resource="http://dbpedia.org/resource/Singapore"/>
<j.4:hasShipType rdf:resource="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#ShipTypeOf#MMSI#"/>
<j.4:hasNavigationalStatus rdf:resource="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#NavigationalStatusOf#MMSI#"/>
<j.4:hasRateOfTurn rdf:resource="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#RateOfTurnOf#MMSI#"/>
<j.1:hasSubsystem rdf:resource="http://www.theworldavatar.com/kb/ships/Chimney-1.owl#Chimney-1"/>
<j.4:hasHeading rdf:resource="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#HeadingOf#MMSI#"/>
</rdf:Description>
<rdf:Description rdf:about="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#RateOfTurnOf#MMSI#">
<rdf:type rdf:resource="http://www.theworldavatar.com/ontology/ontoship/OntoShip.owl#RateOfTurn"/>
<j.1:hasValue rdf:resource="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#V_RateOfTurnOf#MMSI#"/>
</rdf:Description>
<rdf:Description rdf:about="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#PortLengthOf#MMSI#">
<j.1:hasValue rdf:resource="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#V_PortLengthOf#MMSI#"/>
<rdf:type rdf:resource="http://www.theworldavatar.com/ontology/ontoship/OntoShip.owl#DimensionOfPort"/>
</rdf:Description>
<rdf:Description rdf:about="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#V_COGhOf#MMSI#">
<rdf:type rdf:resource="http://www.theworldavatar.com/ontology/ontocape/upper_level/system.owl#ScalarValue"/>
<j.1:numericalValue>0</j.1:numericalValue>
</rdf:Description>
<rdf:Description rdf:about="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#PositioningDeviceTypeOf#MMSI#">
<rdf:type rdf:resource="http://www.theworldavatar.com/ontology/ontoship/OntoShip.owl#PositioningDeviceType"/>
<j.1:hasValue rdf:resource="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#V_PositioningDeviceTypeOf#MMSI#"/>
</rdf:Description>
<rdf:Description rdf:about="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#NavigationalStatusOf#MMSI#">
<rdf:type rdf:resource="http://www.theworldavatar.com/ontology/ontoship/OntoShip.owl#NavigationalStatus"/>
<j.1:hasValue rdf:resource="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#V_NavigationalStatusOf#MMSI#"/>
</rdf:Description>
<rdf:Description rdf:about="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#MMSIOf#MMSI#">
<rdf:type rdf:resource="http://www.theworldavatar.com/ontology/ontoship/OntoShip.owl#MMSI"/>
<j.1:hasValue rdf:resource="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#V_MMSIOf#MMSI#"/>
</rdf:Description>
<rdf:Description rdf:about="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#BowLengthOf#MMSI#">
<j.1:hasValue rdf:resource="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#V_BowLengthOf#MMSI#"/>
<rdf:type rdf:resource="http://www.theworldavatar.com/ontology/ontoship/OntoShip.owl#DimensionOfBow"/>
</rdf:Description>
<rdf:Description rdf:about="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#V_SOGOf#MMSI#">
<rdf:type rdf:resource="http://www.theworldavatar.com/ontology/ontocape/upper_level/system.owl#ScalarValue"/>
<j.1:numericalValue>0</j.1:numericalValue>
</rdf:Description>
<rdf:Description rdf:about="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#yCoordinateOf#MMSI#">
<j.1:hasValue rdf:resource="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#V_yCoordinateOf#MMSI#"/>
<rdf:type rdf:resource="http://www.theworldavatar.com/ontology/ontocape/supporting_concepts/space_and_time/space_and_time.owl#AngularCoordinate"/>
</rdf:Description>
<rdf:Description rdf:about="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#V_BowLengthOf#MMSI#">
<rdf:type rdf:resource="http://www.theworldavatar.com/ontology/ontocape/upper_level/system.owl#ScalarValue"/>
<j.1:hasUnitOfMeasure rdf:resource="http://www.theworldavatar.com/ontology/ontocape/supporting_concepts/SI_unit/SI_unit.owl#m"/>
<j.1:numericalValue>0</j.1:numericalValue>
</rdf:Description>
<rdf:Description rdf:about="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#V_SternLengthOf#MMSI#">
<rdf:type rdf:resource="http://www.theworldavatar.com/ontology/ontocape/upper_level/system.owl#ScalarValue"/>
<j.1:numericalValue>0</j.1:numericalValue>
<j.1:hasUnitOfMeasure rdf:resource="http://www.theworldavatar.com/ontology/ontocape/supporting_concepts/SI_unit/SI_unit.owl#m"/>
</rdf:Description>
<rdf:Description rdf:about="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#V_yCoordinateOf#MMSI#">
<j.1:numericalValue rdf:datatype="http://www.w3.org/2001/XMLSchema#decimal">#Y#</j.1:numericalValue>
<rdf:type rdf:resource="http://www.theworldavatar.com/ontology/ontocape/upper_level/coordinate_system.owl#CoordinateValue"/>
<j.1:hasUnitOfMeasure rdf:resource="http://www.theworldavatar.com/ontology/ontocape/supporting_concepts/SI_unit/derived_SI_units.owl#degree"/>
</rdf:Description>
<rdf:Description rdf:about="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#V_DraughtLengthOf#MMSI#">
<rdf:type rdf:resource="http://www.theworldavatar.com/ontology/ontocape/upper_level/system.owl#ScalarValue"/>
<j.1:hasUnitOfMeasure rdf:resource="http://www.theworldavatar.com/ontology/ontocape/supporting_concepts/SI_unit/SI_unit.owl#m"/>
<j.1:numericalValue>#DRAUGHT#</j.1:numericalValue>
</rdf:Description>
<rdf:Description rdf:about="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#ETAOf#MMSI#">
<rdf:type rdf:resource="http://www.theworldavatar.com/ontology/ontoship/OntoShip.owl#EstimatedTimeOfArrival"/>
<j.1:hasValue rdf:resource="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#V_ETAOf#MMSI#"/>
</rdf:Description>
<rdf:Description rdf:about="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#StarboardLengthOf#MMSI#">
<rdf:type rdf:resource="http://www.theworldavatar.com/ontology/ontoship/OntoShip.owl#DimensionOfStarboard"/>
<j.1:hasValue rdf:resource="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#V_StarboardLengthOf#MMSI#"/>
</rdf:Description>
<rdf:Description rdf:about="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#CoordinateSystemOf#MMSI#">
<j.3:hasProjectedCoordinate_y rdf:resource="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#yCoordinateOf#MMSI#"/>
<rdf:type rdf:resource="http://www.theworldavatar.com/ontology/ontocape/supporting_concepts/space_and_time/space_and_time_extended.owl#ProjectedCoordinateSystem"/>
<j.3:hasProjectedCoordinate_x rdf:resource="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#xCoordinateOf#MMSI#"/>
</rdf:Description>
<rdf:Description rdf:about="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#V_ETAOf#MMSI#">
<j.1:numericalValue>#ETA#</j.1:numericalValue>
<rdf:type rdf:resource="http://www.theworldavatar.com/ontology/ontocape/upper_level/coordinate_system.owl#CoordinateValue"/>
</rdf:Description>
<rdf:Description rdf:about="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#V_MMSIOf#MMSI#">
<j.1:numericalValue>0</j.1:numericalValue>
<rdf:type rdf:resource="http://www.theworldavatar.com/ontology/ontocape/upper_level/system.owl#ScalarValue"/>
</rdf:Description>
<rdf:Description rdf:about="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#V_RateOfTurnOf#MMSI#">
<rdf:type rdf:resource="http://www.theworldavatar.com/ontology/ontocape/upper_level/system.owl#ScalarValue"/>
<j.1:numericalValue>0</j.1:numericalValue>
</rdf:Description>
<rdf:Description rdf:about="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#COGOf#MMSI#">
<rdf:type rdf:resource="http://www.theworldavatar.com/ontology/ontoship/OntoShip.owl#CourseOverGround"/>
<j.1:hasValue rdf:resource="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#V_COGhOf#MMSI#"/>
</rdf:Description>
<rdf:Description rdf:about="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#HeadingOf#MMSI#">
<j.1:hasValue rdf:resource="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#V_HeadingOf#MMSI#"/>
<rdf:type rdf:resource="http://www.theworldavatar.com/ontology/ontoship/OntoShip.owl#Heading"/>
</rdf:Description>
<rdf:Description rdf:about="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#V_IMONumberOf#MMSI#">
<rdf:type rdf:resource="http://www.theworldavatar.com/ontology/ontocape/upper_level/system.owl#ScalarValue"/>
<j.1:numericalValue>#IMO#</j.1:numericalValue>
</rdf:Description>
<rdf:Description rdf:about="http://www.theworldavatar.com/kb/ships/Chimney-1.owl#Chimney-1">
<rdf:type rdf:resource="http://www.theworldavatar.com/ontology/ontocape/chemical_process_system/CPS_realization/plant.owl#Pipe"/>
</rdf:Description>
<rdf:Description rdf:about="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#IMONumberOf#MMSI#">
<rdf:type rdf:resource="http://www.theworldavatar.com/ontology/ontoship/OntoShip.owl#IMOIdentificationNumber"/>
<j.1:hasValue rdf:resource="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#V_IMONumberOf#MMSI#"/>
</rdf:Description>
<rdf:Description rdf:about="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#xCoordinateOf#MMSI#">
<j.1:hasValue rdf:resource="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#V_xCoordinateOf#MMSI#"/>
<rdf:type rdf:resource="http://www.theworldavatar.com/ontology/ontocape/supporting_concepts/space_and_time/space_and_time.owl#AngularCoordinate"/>
</rdf:Description>
<rdf:Description rdf:about="http://www.semanticweb.org/kevin/ontologies/2018/11/untitled-ontology-2073">
<owl:imports rdf:resource="http://www.theworldavatar.com/ontology/ontoship/OntoShip.owl"/>
<rdf:type rdf:resource="http://www.w3.org/2002/07/owl#Ontology"/>
<owl:imports rdf:resource="http://www.theworldavatar.com/ontology/ontocape/OntoCAPE.owl"/>
</rdf:Description>
<rdf:Description rdf:about="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#V_StarboardLengthOf#MMSI#">
<rdf:type rdf:resource="http://www.theworldavatar.com/ontology/ontocape/upper_level/system.owl#ScalarValue"/>
<j.1:numericalValue>0</j.1:numericalValue>
<j.1:hasUnitOfMeasure rdf:resource="http://www.theworldavatar.com/ontology/ontocape/supporting_concepts/SI_unit/SI_unit.owl#m"/>
</rdf:Description>
<rdf:Description rdf:about="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#V_PositioningDeviceTypeOf#MMSI#">
<rdf:type rdf:resource="http://www.theworldavatar.com/ontology/ontocape/upper_level/system.owl#ScalarValue"/>
<j.1:numericalValue>0</j.1:numericalValue>
</rdf:Description>
<rdf:Description rdf:about="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#timestampOf#MMSI#">
<rdf:type rdf:resource="http://www.theworldavatar.com/ontology/ontocape/supporting_concepts/space_and_time/space_and_time.owl#TemporalCoordinate"/>
<j.1:hasValue rdf:resource="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#V_timestampOf#MMSI#"/>
</rdf:Description>
<rdf:Description rdf:about="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#SternLengthOf#MMSI#">
<rdf:type rdf:resource="http://www.theworldavatar.com/ontology/ontoship/OntoShip.owl#DimensionOfStern"/>
<j.1:hasValue rdf:resource="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#V_SternLengthOf#MMSI#"/>
</rdf:Description>
<rdf:Description rdf:about="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#V_HeadingOf#MMSI#">
<j.1:hasUnitOfMeasure rdf:resource="http://www.theworldavatar.com/ontology/ontocape/supporting_concepts/SI_unit/derived_SI_units.owl#degree"/>
<j.1:numericalValue>0</j.1:numericalValue>
<rdf:type rdf:resource="http://www.theworldavatar.com/ontology/ontocape/upper_level/system.owl#ScalarValue"/>
</rdf:Description>
<rdf:Description rdf:about="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#TemporalCoordinateSystemOf#MMSI#">
<j.3:hasTemporalCoordinate rdf:resource="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#timestampOf#MMSI#"/>
<rdf:type rdf:resource="http://www.theworldavatar.com/ontology/ontocape/supporting_concepts/space_and_time/space_and_time.owl#TemporalCoordinateSystem"/>
</rdf:Description>
<rdf:Description rdf:about="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#V_xCoordinateOf#MMSI#">
<j.1:hasUnitOfMeasure rdf:resource="http://www.theworldavatar.com/ontology/ontocape/supporting_concepts/SI_unit/derived_SI_units.owl#degree"/>
<rdf:type rdf:resource="http://www.theworldavatar.com/ontology/ontocape/upper_level/coordinate_system.owl#CoordinateValue"/>
<j.1:numericalValue rdf:datatype="http://www.w3.org/2001/XMLSchema#decimal">#X#</j.1:numericalValue>
</rdf:Description>
<rdf:Description rdf:about="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#V_ShipTypeOf#MMSI#">
<rdf:type rdf:resource="http://www.theworldavatar.com/ontology/ontocape/upper_level/system.owl#ScalarValue"/>
<j.1:numericalValue>#TYPE#</j.1:numericalValue>
</rdf:Description>
<rdf:Description rdf:about="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#V_timestampOf#MMSI#">
<rdf:type rdf:resource="http://www.theworldavatar.com/ontology/ontocape/upper_level/coordinate_system.owl#CoordinateValue"/>
<j.1:numericalValue>0</j.1:numericalValue>
</rdf:Description>
<rdf:Description rdf:about="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#ShipTypeOf#MMSI#">
<rdf:type rdf:resource="http://www.theworldavatar.com/ontology/ontoship/OntoShip.owl#ShipType"/>
<j.1:hasValue rdf:resource="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#V_ShipTypeOf#MMSI#"/>
</rdf:Description>
<rdf:Description rdf:about="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#V_PortLengthOf#MMSI#">
<rdf:type rdf:resource="http://www.theworldavatar.com/ontology/ontocape/upper_level/system.owl#ScalarValue"/>
<j.1:hasUnitOfMeasure rdf:resource="http://www.theworldavatar.com/ontology/ontocape/supporting_concepts/SI_unit/SI_unit.owl#m"/>
<j.1:numericalValue>#LENGTH#</j.1:numericalValue>
</rdf:Description>
<rdf:Description rdf:about="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#DraughtLengthOf#MMSI#">
<j.1:hasValue rdf:resource="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#V_DraughtLengthOf#MMSI#"/>
<rdf:type rdf:resource="http://www.theworldavatar.com/ontology/ontoship/OntoShip.owl#Draught"/>
</rdf:Description>
<rdf:Description rdf:about="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#SOGOf#MMSI#">
<rdf:type rdf:resource="http://www.theworldavatar.com/ontology/ontoship/OntoShip.owl#SpeedOverGround"/>
<j.1:hasValue rdf:resource="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#V_SOGOf#MMSI#"/>
</rdf:Description>
<rdf:Description rdf:about="http://www.theworldavatar.com/kb/ships/#MMSI#.owl#V_NavigationalStatusOf#MMSI#">
<rdf:type rdf:resource="http://www.theworldavatar.com/ontology/ontocape/upper_level/system.owl#ScalarValue"/>
<j.1:numericalValue>0</j.1:numericalValue>
</rdf:Description>
</rdf:RDF>'''
file_content = file_content.replace("#MMSI#", 'Ship-' + str(MMSI)).replace('#TYPE#', type).replace('#ETA#', eta).replace('#CALLSIGN#', callsign).replace('#LENGTH#', length).replace('#DRAUGHT#',draught).replace('#NAME#',MMSI).replace("#X#",x).replace('#Y#',y).replace('#IMO#',imo)
with open('C:/TOMCAT/webapps/ROOT/kb/ships/Ship-' + MMSI + '.owl','w') as owlfile:
owlfile.write(file_content) | 68.361204 | 281 | 0.74682 | 2,898 | 20,440 | 5.216011 | 0.087647 | 0.064832 | 0.18616 | 0.212755 | 0.852408 | 0.847976 | 0.840368 | 0.835208 | 0.831305 | 0.827137 | 0 | 0.010866 | 0.054452 | 20,440 | 299 | 282 | 68.361204 | 0.771253 | 0.002397 | 0 | 0.341727 | 0 | 0.496403 | 0.869292 | 0.063515 | 0 | 0 | 0 | 0 | 0 | 1 | 0.010791 | false | 0 | 0.010791 | 0 | 0.028777 | 0.003597 | 0 | 0 | 0 | null | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 |
9273bc698e1a96956b9ed4c84e3eaeaaa69513ed | 48,091 | py | Python | test/unit_test.py | confrm/confrm | 7d2b0b2f5efac243d9877509684d71acf4816dd6 | [
"Apache-2.0"
] | 1 | 2021-04-15T05:55:42.000Z | 2021-04-15T05:55:42.000Z | test/unit_test.py | confrm/confrm | 7d2b0b2f5efac243d9877509684d71acf4816dd6 | [
"Apache-2.0"
] | 33 | 2020-12-23T19:44:41.000Z | 2021-01-26T20:53:01.000Z | test/unit_test.py | confrm/confrm | 7d2b0b2f5efac243d9877509684d71acf4816dd6 | [
"Apache-2.0"
] | 1 | 2021-01-07T11:06:35.000Z | 2021-01-07T11:06:35.000Z | """Unit tests for confrm API"""
import os
import tempfile
import pytest
from fastapi.testclient import TestClient
from confrm import APP
CONFIG_NAME = "confrm.toml"
def get_config_file(path: str):
"""Returns a valid config file with data directory set to input argument"""
ret = '' + \
'[basic]\n' + \
'port = 8001\n\n' + \
'[storage]\n' + \
f'data_dir = "{path}"'
return ret
def test_no_env():
"""Test for env not set"""
with pytest.raises(ValueError):
client = TestClient(APP)
_ = client.get("/time/")
def test_incorrect_env():
"""Test for env set incorrectly - points to non-existent file"""
with tempfile.TemporaryDirectory() as data_dir:
os.environ["CONFRM_CONFIG"] = os.path.join(data_dir, CONFIG_NAME)
with pytest.raises(ValueError):
client = TestClient(APP)
_ = client.get("/time/")
# def test_wrong_config():
# # Requires refactor of create_test_folder to take alternative data_dir...
# pass
def test_get_time():
"""time should return the current epoch time"""
with tempfile.TemporaryDirectory() as data_dir:
config_file = os.path.join(data_dir, CONFIG_NAME)
with open(config_file, "w") as file:
file.write(get_config_file(data_dir))
os.environ["CONFRM_CONFIG"] = config_file
client = TestClient(APP)
response = client.get("/time/")
assert response.status_code == 200
assert "time" in response.json().keys()
assert int(response.json()["time"])
def test_get_info():
"""time should return the current epoch time"""
with tempfile.TemporaryDirectory() as data_dir:
config_file = os.path.join(data_dir, CONFIG_NAME)
with open(config_file, "w") as file:
file.write(get_config_file(data_dir))
os.environ["CONFRM_CONFIG"] = config_file
with TestClient(APP) as client:
response = client.get("/info/")
assert response.status_code == 200
assert "packages" in response.json().keys()
assert int(response.json()["packages"]) == 0
response = client.put("/package/" +
"?name=test_package" +
"&description=some%20description" +
"&title=Good%20Name" +
"&platform=esp32")
assert response.status_code == 201
response = client.get("/info/")
assert response.status_code == 200
assert "packages" in response.json().keys()
assert int(response.json()["packages"]) == 1
def test_put_package():
"""Test the package adding works"""
with tempfile.TemporaryDirectory() as data_dir:
config_file = os.path.join(data_dir, CONFIG_NAME)
with open(config_file, "w") as file:
file.write(get_config_file(data_dir))
os.environ["CONFRM_CONFIG"] = config_file
with TestClient(APP) as client:
response = client.put("/package/" +
"?name=test_package" +
"&description=some%20description" +
"&title=Good%20Name" +
"&platform=esp32")
assert response.status_code == 201
# Test the package was stored correctly
response = client.get("/package/?name=test_package")
assert response.status_code == 200
data = response.json()
assert {"name", "description", "title", "platform"} <= data.keys()
assert data["name"] == "test_package"
assert data["description"] == "some description"
assert data["title"] == "Good Name"
assert data["platform"] == "esp32"
# Check duplicates are rejected
response = client.put("/package/" +
"?name=test_package" +
"&description=some%20description" +
"&title=Good%20Name" +
"&platform=esp32")
assert response.status_code == 400
assert response.json()["error"] == "confrm-003"
# Check that input is escaped
response = client.put("/package/" +
"?name=test_package2" +
"&description=<b>some%20description</b>" +
"&title=Good%20Name" +
"&platform=esp32")
assert response.status_code == 201
response = client.get("/package/?name=test_package2")
assert response.status_code == 200
assert response.json()["description"].startswith("<b>")
# Check empty name is rejected
response = client.put("/package/" +
"?name=" +
"&description=<b>some%20description</b>" +
"&title=Good%20Name" +
"&platform=esp32")
assert response.status_code == 400
assert response.json()["error"] == "confrm-004"
# Check empty title is replaced with name
response = client.put("/package/" +
"?name=good_name" +
"&description=<b>some%20description</b>" +
"&title=" +
"&platform=esp32")
assert response.status_code == 201
response = client.get("/package/?name=good_name")
assert response.status_code == 200
assert response.json()["title"] == "good_name"
# Check invalid names are rejected (space)
response = client.put("/package/" +
"?name=test%20package" +
"&description=some%20description" +
"&title=Good%20Name" +
"&platform=esp32")
assert response.status_code == 400
# Check invalid names are rejected (asterisk)
response = client.put("/package/" +
"?name=test%2Apackage" +
"&description=some%20description" +
"&title=Good%20Name" +
"&platform=esp32")
assert response.status_code == 400
def test_delete_package():
"""Test the package deleting works"""
with tempfile.TemporaryDirectory() as data_dir:
config_file = os.path.join(data_dir, CONFIG_NAME)
with open(config_file, "w") as file:
file.write(get_config_file(data_dir))
os.environ["CONFRM_CONFIG"] = config_file
test_file_content = bytearray(os.urandom(1000))
test_file = os.path.join(data_dir, "test.bin")
with open(test_file, "wb") as file_ptr:
file_ptr.write(test_file_content)
with TestClient(APP) as client:
response = client.put("/package/" +
"?name=test_package" +
"&description=some%20description" +
"&title=Good%20Name" +
"&platform=esp32")
assert response.status_code == 201
# Add a package version - keep track of files in data directory
files = os.listdir(os.path.join(data_dir, "blob"))
with open(test_file, "rb") as file_ptr:
response = client.post("/package_version/" +
"?name=test_package" +
"&major=1" +
"&minor=2" +
"&revision=3",
files={"file": ("filename", file_ptr, "application/binary")})
assert response.status_code == 201
files_new = os.listdir(os.path.join(data_dir, "blob"))
# Get the newly created file
new_file = ""
for filename in files_new:
if filename not in files:
new_file = filename
assert new_file
assert os.path.isfile(os.path.join(os.path.join(data_dir, "blob"), new_file))
# Create a config for this package
response = client.put("/config/" +
"?type=package" +
"&id=test_package" +
"&key=key_a"
"&value=value_package")
assert response.status_code == 201
# Test the config worked
response = client.get("/config/" +
"?key=key_a" +
"&package=test_package")
assert response.status_code == 200
# Test the package was stored correctly
response = client.get("/package/?name=test_package")
assert response.status_code == 200
# Test deleting a package that does not exist
response = client.delete("/package/" +
"?name=not_there")
assert response.status_code == 404
assert response.json()["error"] == "confrm-000"
# Test delete the package
response = client.delete("/package/" +
"?name=test_package")
assert response.status_code == 200
# Test the package was deleted
response = client.get("/package/?name=test_package")
assert response.status_code == 404
# Check the file was deleted too
assert not os.path.isfile(os.path.join(os.path.join(data_dir, "blob"), new_file))
# Test the config was deleted
response = client.get("/config/" +
"?key=key_a" +
"&package=test_package")
assert response.status_code == 404
def test_delete_package_version():
"""Tests deleting versions for a given package"""
with tempfile.TemporaryDirectory() as data_dir:
config_file = os.path.join(data_dir, CONFIG_NAME)
with open(config_file, "w") as file:
file.write(get_config_file(data_dir))
os.environ["CONFRM_CONFIG"] = config_file
test_file_content = bytearray(os.urandom(1000))
test_file = os.path.join(data_dir, "test.bin")
with open(test_file, "wb") as file_ptr:
file_ptr.write(test_file_content)
with TestClient(APP) as client:
# Tests error generated when packages does not exist
response = client.delete("/package_version/" +
"?package=test_package" +
"&version=1.2.3")
assert response.status_code == 404
# Create a package to add versions to
response = client.put("/package/" +
"?name=test_package" +
"&description=some%20description" +
"&title=Good%20Name" +
"&platform=esp32")
assert response.status_code == 201
# Check files upload okay
with open(test_file, "rb") as file_ptr:
response = client.post("/package_version/" +
"?name=test_package" +
"&major=1" +
"&minor=2" +
"&revision=3",
files={"file": ("filename", file_ptr, "application/binary")})
assert response.status_code == 201
# Upload another version with active version set
with open(test_file, "rb") as file_ptr:
response = client.post("/package_version/" +
"?name=test_package" +
"&major=1" +
"&minor=2" +
"&revision=4" +
"&set_active=true",
files={"file": ("filename", file_ptr, "application/binary")})
assert response.status_code == 201
# Check both versions are there
response = client.get("/package/?name=test_package")
assert response.status_code == 200
assert next((item for item in response.json()[
"versions"] if item["number"] == "1.2.3"), None) is not None
assert next((item for item in response.json()[
"versions"] if item["number"] == "1.2.4"), None) is not None
# Delete one of the versions
response = client.delete("/package_version/" +
"?package=test_package" +
"&version=1.2.3")
assert response.status_code == 200
# Check only one version remains
response = client.get("/package/?name=test_package")
assert response.status_code == 200
assert next((item for item in response.json()[
"versions"] if item["number"] == "1.2.3"), None) is None
assert next((item for item in response.json()[
"versions"] if item["number"] == "1.2.4"), None) is not None
assert "warning" not in response.json().keys()
# Delete the remaining version - check for warning as it was active
response = client.delete("/package_version/" +
"?package=test_package" +
"&version=1.2.4")
assert response.status_code == 200
assert response.json()["warning"] == "confrm-021"
def test_post_package_version():
"""Tests adding versions for a given package"""
with tempfile.TemporaryDirectory() as data_dir:
config_file = os.path.join(data_dir, CONFIG_NAME)
with open(config_file, "w") as file:
file.write(get_config_file(data_dir))
os.environ["CONFRM_CONFIG"] = config_file
test_file_content = bytearray(os.urandom(1000))
test_file = os.path.join(data_dir, "test.bin")
with open(test_file, "wb") as file_ptr:
file_ptr.write(test_file_content)
with TestClient(APP) as client:
# Tests error generated when packages does not exist
with open(test_file, "rb") as file_ptr:
response = client.post("/package_version/" +
"?name=test_package" +
"&major=1" +
"&minor=2" +
"&revision=3",
files={"file": ("filename", file_ptr, "application/binary")})
assert response.status_code == 404
# Create a package to add versions to
response = client.put("/package/" +
"?name=test_package" +
"&description=some%20description" +
"&title=Good%20Name" +
"&platform=esp32")
assert response.status_code == 201
# Check files upload okay
with open(test_file, "rb") as file_ptr:
response = client.post("/package_version/" +
"?name=test_package" +
"&major=1" +
"&minor=2" +
"&revision=3",
files={"file": ("filename", file_ptr, "application/binary")})
assert response.status_code == 201
# Check active version defaults to false
response = client.get("/package/?name=test_package")
assert response.status_code == 200
assert response.json()["current_version"] == ""
# Upload another version with active version set
with open(test_file, "rb") as file_ptr:
response = client.post("/package_version/" +
"?name=test_package" +
"&major=1" +
"&minor=2" +
"&revision=4" +
"&set_active=true",
files={"file": ("filename", file_ptr, "application/binary")})
assert response.status_code == 201
# Check active version defaults to false
response = client.get("/package/?name=test_package")
assert response.status_code == 200
assert response.json()["current_version"] == "1.2.4"
# Upload a duplicate version
with open(test_file, "rb") as file_ptr:
response = client.post("/package_version/" +
"?name=test_package" +
"&major=1" +
"&minor=2" +
"&revision=4" +
"&set_active=true",
files={"file": ("filename", file_ptr, "application/binary")})
assert response.status_code == 400
assert response.json()["error"] == "confrm-006"
# Negative version number
with open(test_file, "rb") as file_ptr:
response = client.post("/package_version/" +
"?name=test_package" +
"&major=-1" +
"&minor=2" +
"&revision=4" +
"&set_active=true",
files={"file": ("filename", file_ptr, "application/binary")})
assert response.status_code == 400
assert response.json()["error"] == "confrm-017"
def test_set_node_package_version_with_new_package_version():
"""Tests changing the package for a given node while adding new package version"""
with tempfile.TemporaryDirectory() as data_dir:
config_file = os.path.join(data_dir, CONFIG_NAME)
with open(config_file, "w") as file:
file.write(get_config_file(data_dir))
os.environ["CONFRM_CONFIG"] = config_file
test_file_content = bytearray(os.urandom(1000))
test_file = os.path.join(data_dir, "test.bin")
with open(test_file, "wb") as file_ptr:
file_ptr.write(test_file_content)
with TestClient(APP) as client:
# Create two packages for testing
response = client.put("/package/" +
"?name=package_a" +
"&description=some%20description" +
"&title=Good%20Name" +
"&platform=esp32")
assert response.status_code == 201
response = client.put("/package/" +
"?name=package_b" +
"&description=some%20description" +
"&title=Good%20Name" +
"&platform=esp32")
assert response.status_code == 201
# Add active version to package
with open(test_file, "rb") as file_ptr:
response = client.post("/package_version/" +
"?name=package_a" +
"&major=0" +
"&minor=1" +
"&revision=0" +
"&set_active=true",
files={"file": ("filename", file_ptr, "application/binary")})
assert response.status_code == 201
# Register a node with confrm
response = client.put("/register_node/" +
"?node_id=0:12:3:4" +
"&package=package_a" +
"&version=" +
"&description=some%20description" +
"&platform=esp32")
assert response.status_code == 200
###################################################################
## To start with the registered node should get the active version
## for package_a.
##
## Once a version is added for package_b and the node is set as the
## canary, then the package_b version should be returned
###################################################################
# Check for update
response = client.get("/check_for_update/" +
"?node_id=0:12:3:4" +
"&package=package_a")
assert response.status_code == 200
assert response.json()["current_version"] == "0.1.0"
# Add active version to package_b with the canary node set
with open(test_file, "rb") as file_ptr:
response = client.post("/package_version/" +
"?name=package_b" +
"&major=0" +
"&minor=2" +
"&revision=0" +
"&set_active=false" +
"&canary_id=0:12:3:4",
files={"file": ("filename", file_ptr, "application/binary")})
assert response.status_code == 201
# Check for update (will be a package with version 0.2.0)
response = client.get("/check_for_update/" +
"?node_id=0:12:3:4" +
"&package=package_a")
assert response.status_code == 200
assert response.json()["current_version"] == "0.2.0"
assert response.json()["force"]
# Re-Register a node with confrm using the forced package
response = client.put("/register_node/" +
"?node_id=0:12:3:4" +
"&package=package_b" +
"&version=0.2.0" +
"&description=some%20description" +
"&platform=esp32")
assert response.status_code == 200
# Check for update (will be a package with version 0.2.0, but not forced)
response = client.get("/check_for_update/" +
"?node_id=0:12:3:4" +
"&package=package_b")
assert response.status_code == 200
assert response.json()["current_version"] == "0.2.0"
assert not response.json()["force"]
# Get canary will still report that it is a canary
response = client.get("/canary/" +
"?node_id=0:12:3:4")
assert response.status_code == 200
assert response.json()["package"] == "package_b"
assert response.json()["version"] == "0.2.0"
# Setting the active version for package_b will clear the canary
response = client.put("/set_active_version/" +
"?package=package_b" +
"&version=0.2.0")
assert response.status_code == 200
# Get canary will still report that it is a canary
response = client.get("/canary/" +
"?node_id=0:12:3:4")
assert response.status_code == 404
def test_put_node_package():
"""Tests changing the package for a given node"""
with tempfile.TemporaryDirectory() as data_dir:
config_file = os.path.join(data_dir, CONFIG_NAME)
with open(config_file, "w") as file:
file.write(get_config_file(data_dir))
os.environ["CONFRM_CONFIG"] = config_file
test_file_content = bytearray(os.urandom(1000))
test_file = os.path.join(data_dir, "test.bin")
with open(test_file, "wb") as file_ptr:
file_ptr.write(test_file_content)
with TestClient(APP) as client:
# Create two packages for testing
response = client.put("/package/" +
"?name=package_a" +
"&description=some%20description" +
"&title=Good%20Name" +
"&platform=esp32")
assert response.status_code == 201
response = client.put("/package/" +
"?name=package_b" +
"&description=some%20description" +
"&title=Good%20Name" +
"&platform=esp32")
assert response.status_code == 201
# Add active versions to both packages
with open(test_file, "rb") as file_ptr:
response = client.post("/package_version/" +
"?name=package_a" +
"&major=0" +
"&minor=1" +
"&revision=0" +
"&set_active=true",
files={"file": ("filename", file_ptr, "application/binary")})
assert response.status_code == 201
with open(test_file, "rb") as file_ptr:
response = client.post("/package_version/" +
"?name=package_b" +
"&major=0" +
"&minor=2" +
"&revision=0" +
"&set_active=true",
files={"file": ("filename", file_ptr, "application/binary")})
assert response.status_code == 201
# Register a node with confrm
response = client.put("/register_node/" +
"?node_id=0:12:3:4" +
"&package=package_a" +
"&version=" +
"&description=some%20description" +
"&platform=esp32")
assert response.status_code == 200
# Check for update
response = client.get("/check_for_update/" +
"?node_id=0:12:3:4" +
"&package=package_a")
assert response.status_code == 200
assert response.json()["current_version"] == "0.1.0"
# Force the next version to be a different package
response = client.put("/node_package/" +
"?node_id=0:12:3:4" +
"&package=package_b")
assert response.status_code == 200
# Check for update (will be package_b with version 0.2.0)
response = client.get("/check_for_update/" +
"?node_id=0:12:3:4" +
"&package=package_a")
assert response.status_code == 200
assert response.json()["current_version"] == "0.2.0"
assert response.json()["force"]
# Delete the node package update
response = client.delete("/node_package/" +
"?node_id=0:12:3:4")
assert response.status_code == 200
# Check for update (will be back to package_a with version 0.1.0)
response = client.get("/check_for_update/" +
"?node_id=0:12:3:4" +
"&package=package_a")
assert response.status_code == 200
assert response.json()["current_version"] == "0.1.0"
assert not response.json()["force"]
# Force the next version to be a different package
response = client.put("/node_package/" +
"?node_id=0:12:3:4" +
"&package=package_b")
assert response.status_code == 200
# Re-Register node using new package
response = client.put("/register_node/" +
"?node_id=0:12:3:4" +
"&package=package_b" +
"&version=0.2.0" +
"&description=some%20description" +
"&platform=esp32")
assert response.status_code == 200
# Try to delete the node package update
response = client.delete("/node_package/" +
"?node_id=0:12:3:4")
assert response.status_code == 404
assert response.json()["error"] == "confrm-007"
def test_config():
"""Tests config functions"""
with tempfile.TemporaryDirectory() as data_dir:
config_file = os.path.join(data_dir, CONFIG_NAME)
with open(config_file, "w") as file:
file.write(get_config_file(data_dir))
os.environ["CONFRM_CONFIG"] = config_file
with TestClient(APP) as client:
# Create package for testing (package_a)
response = client.put("/package/" +
"?name=package_a" +
"&description=some%20description" +
"&title=Good%20Name" +
"&platform=esp32")
assert response.status_code == 201
# Create package for testing (package_b)
response = client.put("/package/" +
"?name=package_b" +
"&description=some%20description" +
"&title=Good%20Name" +
"&platform=esp32")
assert response.status_code == 201
# Create node for testing
response = client.put("/register_node/" +
"?node_id=0:12:3:4" +
"&package=package_a" +
"&version=0.2.0" +
"&description=some%20description" +
"&platform=esp32")
assert response.status_code == 200
# Create node for testing
response = client.put("/register_node/" +
"?node_id=1:12:3:4" +
"&package=package_a" +
"&version=0.2.0" +
"&description=some%20description" +
"&platform=esp32")
assert response.status_code == 200
# Add a new global config
response = client.put("/config/" +
"?type=global" +
"&id=" +
"&key=key_a"
"&value=value_a")
assert response.status_code == 201
# Add a new package config
response = client.put("/config/" +
"?type=package" +
"&id=package_a" +
"&key=key_b"
"&value=value_b")
assert response.status_code == 201
# Add a new node config
response = client.put("/config/" +
"?type=node" +
"&id=0:12:3:4" +
"&key=key_c"
"&value=value_c")
assert response.status_code == 201
# Test for non-existing package
response = client.put("/config/" +
"?type=package" +
"&id=package_z" +
"&key=key_z"
"&value=value_b")
assert response.status_code == 404
assert response.json()["error"] == "confrm-000"
# Test for non-existing node
response = client.put("/config/" +
"?type=node" +
"&id=0:12:3:5" +
"&key=key_x"
"&value=value_x")
assert response.status_code == 404
assert response.json()["error"] == "confrm-001"
# Test for no type given
response = client.put("/config/" +
"?type=" +
"&id=package_a" +
"&key=key_b"
"&value=value_b")
assert response.status_code == 400
assert response.json()["error"] == "confrm-015"
# Test incorrect type give (same error number as empty)
response = client.put("/config/" +
"?type=thing" +
"&id=package_a" +
"&key=key_b"
"&value=value_b")
assert response.status_code == 400
assert response.json()["error"] == "confrm-015"
# Test key containing incorrect characters
response = client.put("/config/" +
"?type=package" +
"&id=package_a" +
"&key=key%20b"
"&value=value_b")
assert response.status_code == 400
assert response.json()["error"] == "confrm-016"
# Test retrieving config keys
response = client.get("/config/" +
"?key=key_a" +
"&package=package_a" +
"&node_id=0:12:3:4")
assert response.status_code == 200
assert response.json()["value"] == "value_a"
# Test retrieving config keys (does not exist)
response = client.get("/config/" +
"?key=key_not_there" +
"&package=package_a" +
"&node_id=0:12:3:4")
assert response.status_code == 404
# Add a new package config (override for global key_a)
response = client.put("/config/" +
"?type=package" +
"&id=package_b" +
"&key=key_a"
"&value=value_package_b")
assert response.status_code == 201
# Add a new node config (override for global key_a)
response = client.put("/config/" +
"?type=node" +
"&id=1:12:3:4" +
"&key=key_a"
"&value=value_node2")
assert response.status_code == 201
# Test retrieving config keys (package override)
response = client.get("/config/" +
"?key=key_a" +
"&package=package_b" +
"&node_id=0:12:3:4")
assert response.status_code == 200
assert response.json()["value"] == "value_package_b"
# Test retrieving config keys (node override)
response = client.get("/config/" +
"?key=key_a" +
"&package=package_b" +
"&node_id=1:12:3:4")
assert response.status_code == 200
assert response.json()["value"] == "value_node2"
# Test getting all config keys
response = client.get("/config/?key=")
assert response.status_code == 200
assert len(response.json()) > 0
# Change a config (node)
response = client.put("/config/" +
"?type=node" +
"&id=1:12:3:4" +
"&key=key_a"
"&value=value_changed")
assert response.status_code == 201
# Test retrieving changed config key (node override)
response = client.get("/config/" +
"?key=key_a" +
"&package=package_a" +
"&node_id=1:12:3:4")
assert response.status_code == 200
assert response.json()["value"] == "value_changed"
# Change a config (package)
response = client.put("/config/" +
"?type=package" +
"&id=package_b" +
"&key=key_a"
"&value=value_changed_package")
assert response.status_code == 201
# Test retrieving changed config key (package)
response = client.get("/config/" +
"?key=key_a" +
"&package=package_b")
assert response.status_code == 200
assert response.json()["value"] == "value_changed_package"
# Change a config (global)
response = client.put("/config/" +
"?type=global" +
"&key=key_a"
"&value=value_changed_global")
assert response.status_code == 201
# Test retrieving changed config key (global)
response = client.get("/config/" +
"?key=key_a")
assert response.status_code == 200
assert response.json()["value"] == "value_changed_global"
###################################################################
# Deleting a key that does not exist should create an error
###################################################################
# Test deleting a config that does not exist
response = client.delete("/config/" +
"?key=key_not_here" +
"&type=global")
assert response.status_code == 404
assert response.json()["error"] == "confrm-024"
###################################################################
# Test getting / deleting / getting a key, should be pass, pass
# fail - global key
###################################################################
# Test retrieving a key prior to deletion (global)
response = client.get("/config/" +
"?key=key_a")
assert response.status_code == 200
# Test deleting a config that does exist (global)
response = client.delete("/config/" +
"?key=key_a" +
"&type=global")
assert response.status_code == 200
# Test retrieving deleted key (global)
response = client.get("/config/" +
"?key=key_a")
assert response.status_code == 404
assert response.json()["error"] == "confrm-012"
###################################################################
# Test getting / deleting / getting a key, should be pass, pass
# fail - package key
###################################################################
# Test retrieving key prior to deletion
response = client.get("/config/" +
"?key=key_a" +
"&package=package_b")
assert response.status_code == 200
# Test deleting a config that does exist (package)
response = client.delete("/config/" +
"?key=key_a" +
"&type=package" +
"&id=package_b")
assert response.status_code == 200
# Test retrieving deleted key (package)
response = client.get("/config/" +
"?key=key_a" +
"&package=package_b")
assert response.status_code == 404
assert response.json()["error"] == "confrm-012"
###################################################################
# Test getting / deleting / getting a key, should be pass, pass
# fail - node key
###################################################################
# Test retrieving deleted key (node)
response = client.get("/config/" +
"?key=key_a" +
"&node_id=1:12:3:4")
assert response.status_code == 200
# Test deleting a config that does exist (node)
response = client.delete("/config/" +
"?key=key_a" +
"&type=node" +
"&id=1:12:3:4")
assert response.status_code == 200
# Test retrieving deleted key (node)
response = client.get("/config/" +
"?key=key_a" +
"&node_id=1:12:3:4")
assert response.status_code == 404
assert response.json()["error"] == "confrm-012"
def test_put_node_title():
"""Tests changing the title of a given node"""
with tempfile.TemporaryDirectory() as data_dir:
config_file = os.path.join(data_dir, CONFIG_NAME)
with open(config_file, "w") as file:
file.write(get_config_file(data_dir))
os.environ["CONFRM_CONFIG"] = config_file
with TestClient(APP) as client:
# Create a package for testing
response = client.put("/package/" +
"?name=package_a" +
"&description=some%20description" +
"&title=Good%20Name" +
"&platform=esp32")
assert response.status_code == 201
# Create a node
response = client.put("/register_node/" +
"?node_id=0:12:3:4" +
"&package=package_a" +
"&version=0.2.0" +
"&description=some%20description" +
"&platform=esp32")
assert response.status_code == 200
# Test default title is set to node id
response = client.get("/nodes/" +
"?node_id=0:12:3:4")
assert response.status_code == 200
assert response.json()["title"] == "0:12:3:4"
# Test the setting the title for a node that does not exist
response = client.put("/node_title/" +
"?node_id=1:12:3:4" +
"&title=Good%20Name")
assert response.status_code == 400
assert response.json()["error"] == "confrm-022"
# Test with no node set
response = client.put("/node_title/" +
"?node_id=" +
"&title=Good%20Name")
assert response.status_code == 400
assert response.json()["error"] == "confrm-022"
# Test the setting a node title to an incorrect name
response = client.put("/node_title/" +
"?node_id=0:12:3:4" +
"&title=Bad%20Name_that_is_very_much_far_too_long_and_should_" +
"be_rejected_but_needs_to_be_over_80_chars_long")
assert response.status_code == 400
assert response.json()["error"] == "confrm-023"
# Test default title is still set to node id
response = client.get("/nodes/" +
"?node_id=0:12:3:4")
assert response.status_code == 200
assert response.json()["title"] == "0:12:3:4"
# Change title to correct value
response = client.put("/node_title/" +
"?node_id=0:12:3:4" +
"&title=Good%20Name")
assert response.status_code == 200
# Check title was changed correctly
response = client.get("/nodes/" +
"?node_id=0:12:3:4")
assert response.status_code == 200
assert response.json()["title"] == "Good Name"
def test_register_node():
"""Tests registering a node"""
with tempfile.TemporaryDirectory() as data_dir:
config_file = os.path.join(data_dir, CONFIG_NAME)
with open(config_file, "w") as file:
file.write(get_config_file(data_dir))
os.environ["CONFRM_CONFIG"] = config_file
with TestClient(APP) as client:
# Create a package
response = client.put("/package/" +
"?name=package_a" +
"&description=some%20description" +
"&title=Good%20Name" +
"&platform=esp32")
assert response.status_code == 201
# Register a node with confrm
response = client.put("/register_node/" +
"?node_id=0:12:3:4" +
"&package=package_a" +
"&version=" +
"&description=some%20description" +
"&platform=esp32")
assert response.status_code == 200
# Register a node with invalid id
response = client.put("/register_node/" +
"?node_id=*" +
"&package=package_a" +
"&version=" +
"&description=some%20description" +
"&platform=esp32")
assert response.status_code == 400
| 44.652739 | 100 | 0.443222 | 4,348 | 48,091 | 4.75667 | 0.063247 | 0.103568 | 0.10734 | 0.128808 | 0.861522 | 0.838652 | 0.809061 | 0.788995 | 0.767431 | 0.757809 | 0 | 0.033489 | 0.439937 | 48,091 | 1,076 | 101 | 44.694238 | 0.734388 | 0.105009 | 0 | 0.83905 | 0 | 0 | 0.191995 | 0.034121 | 0 | 0 | 0 | 0 | 0.230871 | 1 | 0.01847 | false | 0 | 0.006596 | 0 | 0.026385 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
928a433a8c9c87806cd1cb7035c97c915d89d88f | 250 | py | Python | Ene-Jun-2018/Ejemplos/POO/module.py | Arbupa/DAS_Sistemas | 52263ab91436b2e5a24ce6f8493aaa2e2fe92fb1 | [
"MIT"
] | 41 | 2017-09-26T09:36:32.000Z | 2022-03-19T18:05:25.000Z | Ene-Jun-2018/Ejemplos/POO/module.py | Arbupa/DAS_Sistemas | 52263ab91436b2e5a24ce6f8493aaa2e2fe92fb1 | [
"MIT"
] | 67 | 2017-09-11T05:06:12.000Z | 2022-02-14T04:44:04.000Z | Ene-Jun-2018/Ejemplos/POO/module.py | Arbupa/DAS_Sistemas | 52263ab91436b2e5a24ce6f8493aaa2e2fe92fb1 | [
"MIT"
] | 210 | 2017-09-01T00:10:08.000Z | 2022-03-19T18:05:12.000Z | def print_n_veces(n, texto):
for i in range(0, n):
print(texto)
def print_n_veces_variable(n, *texto):
for i in range(0, n):
print(texto)
def print_n_veces_keyword(n, **texto):
for i in range(0, n):
print(texto)
| 20.833333 | 38 | 0.608 | 44 | 250 | 3.272727 | 0.272727 | 0.166667 | 0.1875 | 0.291667 | 0.798611 | 0.798611 | 0.798611 | 0.798611 | 0.798611 | 0.798611 | 0 | 0.016216 | 0.26 | 250 | 11 | 39 | 22.727273 | 0.762162 | 0 | 0 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0 | 0 | 0.333333 | 0.666667 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 9 |
929235d411c9993ee4da1ef9c7c4ea41e7fb34a6 | 626 | py | Python | transforms/random_flips.py | Abhishek-Aditya-bs/Streaming-Spark-For-Machine-Learning | 76f9c97e66d6171bc83d1183fadc30bd492422a7 | [
"MIT"
] | 1 | 2021-12-10T13:14:53.000Z | 2021-12-10T13:14:53.000Z | transforms/random_flips.py | iVishalr/SSML-spark-streaming-for-machine-learning | ba95a7d2d6bb15bacfbbf5b3c95317310b36d54f | [
"MIT"
] | null | null | null | transforms/random_flips.py | iVishalr/SSML-spark-streaming-for-machine-learning | ba95a7d2d6bb15bacfbbf5b3c95317310b36d54f | [
"MIT"
] | null | null | null | import numpy as np
class RandomHorizontalFlip:
def __init__(self, p:float) -> None:
self.p = p
def transform(self, matrix: np.ndarray) -> np.ndarray:
matrix = matrix.transpose(2,0,1)
if np.random.rand() >= self.p:
matrix = matrix[:,:,::-1]
return matrix.transpose(1,2,0)
class RandomVerticalFlip:
def __init__(self, p:float) -> None:
self.p = p
def transform(self, matrix: np.ndarray) -> np.ndarray:
matrix = matrix.transpose(2,0,1)
if np.random.rand() >= self.p:
matrix = matrix[:,::-1]
return matrix.transpose(1,2,0) | 29.809524 | 58 | 0.583067 | 84 | 626 | 4.25 | 0.285714 | 0.084034 | 0.061625 | 0.067227 | 0.823529 | 0.823529 | 0.823529 | 0.823529 | 0.823529 | 0.823529 | 0 | 0.030501 | 0.266773 | 626 | 21 | 59 | 29.809524 | 0.747277 | 0 | 0 | 0.705882 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.235294 | false | 0 | 0.058824 | 0 | 0.529412 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 9 |
2ba7214a98abb7edded511419cd05145eced4164 | 821 | py | Python | rbm/__init__.py | yagweb/rbm | dbbaa0feae1c37bc1d5d51aaa7674ad4db4de4fd | [
"MIT"
] | null | null | null | rbm/__init__.py | yagweb/rbm | dbbaa0feae1c37bc1d5d51aaa7674ad4db4de4fd | [
"MIT"
] | null | null | null | rbm/__init__.py | yagweb/rbm | dbbaa0feae1c37bc1d5d51aaa7674ad4db4de4fd | [
"MIT"
] | null | null | null | #
def create_rbm(n_visible, n_hidden, framework = 'np'):
if framework == 'np':
from .np_rbm import BinaryBinaryRBM
return BinaryBinaryRBM(n_visible, n_hidden)
elif framework == 'tf':
from .tf_rbm import BinaryBinaryRBM
return BinaryBinaryRBM(n_visible, n_hidden)
elif framework == 'torch':
from .torch_rbm import BinaryBinaryRBM
return BinaryBinaryRBM(n_visible, n_hidden)
elif framework == 'mxnd':
from .mxnd_rbm import BinaryBinaryRBM
return BinaryBinaryRBM(n_visible, n_hidden)
elif framework == 'gluon':
from .gluon_rbm import BinaryBinaryRBM
return BinaryBinaryRBM(n_visible, n_hidden)
elif framework == 'mxsym':
from .mxsym_rbm import BinaryBinaryRBM
return BinaryBinaryRBM(n_visible, n_hidden) | 39.095238 | 54 | 0.688185 | 93 | 821 | 5.849462 | 0.204301 | 0.102941 | 0.115809 | 0.193015 | 0.78125 | 0.78125 | 0.78125 | 0.78125 | 0.78125 | 0.670956 | 0 | 0 | 0.235079 | 821 | 21 | 55 | 39.095238 | 0.866242 | 0 | 0 | 0.315789 | 0 | 0 | 0.030451 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052632 | false | 0 | 0.315789 | 0 | 0.684211 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 8 |
2bbcc26c27bd7e82e8f0304c81fb8fb336ee9f84 | 77 | py | Python | projects/faces/emotion/emotion/__init__.py | Bingwen-Hu/hackaway | 69727d76fd652390d9660e9ea4354ba5cc76dd5c | [
"BSD-2-Clause"
] | null | null | null | projects/faces/emotion/emotion/__init__.py | Bingwen-Hu/hackaway | 69727d76fd652390d9660e9ea4354ba5cc76dd5c | [
"BSD-2-Clause"
] | null | null | null | projects/faces/emotion/emotion/__init__.py | Bingwen-Hu/hackaway | 69727d76fd652390d9660e9ea4354ba5cc76dd5c | [
"BSD-2-Clause"
] | null | null | null | from .api import detect
from .api import detect_cropped
from .api import show | 25.666667 | 31 | 0.818182 | 13 | 77 | 4.769231 | 0.461538 | 0.33871 | 0.629032 | 0.612903 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.142857 | 77 | 3 | 32 | 25.666667 | 0.939394 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 8 |
2be4f46864185022f9fd626e2a003ed2c76191dc | 153 | py | Python | tests/test_dependencies.py | generic-ci-org/birdy | 63c2d0aacad67569d8d8fc25c9a702d80c69fcd0 | [
"Apache-2.0"
] | null | null | null | tests/test_dependencies.py | generic-ci-org/birdy | 63c2d0aacad67569d8d8fc25c9a702d80c69fcd0 | [
"Apache-2.0"
] | null | null | null | tests/test_dependencies.py | generic-ci-org/birdy | 63c2d0aacad67569d8d8fc25c9a702d80c69fcd0 | [
"Apache-2.0"
] | null | null | null | def test_dependencies():
from birdy.dependencies import ipywidgets as widgets # noqa: F401
from birdy.dependencies import IPython # noqa: F401
| 38.25 | 70 | 0.75817 | 19 | 153 | 6.052632 | 0.631579 | 0.156522 | 0.365217 | 0.469565 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.048 | 0.183007 | 153 | 3 | 71 | 51 | 0.872 | 0.137255 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | true | 0 | 0.666667 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 8 |
9209db0151a10b0c92e7f60fe34571037af321a1 | 85 | py | Python | src/python/model_generators/pytorch/__init__.py | computer-geek64/guinn | 11e10a9fbf1f99fd0ff8e15d7a812679ae7015f4 | [
"MIT"
] | 2 | 2020-06-25T00:06:38.000Z | 2020-09-11T18:59:45.000Z | src/python/model_generators/pytorch/__init__.py | computer-geek64/guinn | 11e10a9fbf1f99fd0ff8e15d7a812679ae7015f4 | [
"MIT"
] | 20 | 2020-06-25T00:16:35.000Z | 2020-06-25T19:24:14.000Z | src/python/model_generators/pytorch/__init__.py | computer-geek64/guinn | 11e10a9fbf1f99fd0ff8e15d7a812679ae7015f4 | [
"MIT"
] | null | null | null | from .code_generator import generate_code
from .model_generator import generate_model | 42.5 | 43 | 0.894118 | 12 | 85 | 6 | 0.5 | 0.416667 | 0.638889 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.082353 | 85 | 2 | 43 | 42.5 | 0.923077 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 8 |
a6292d4f43a86177100fa5fed947e0e2bf648d25 | 9,447 | py | Python | sumo_rl/util/gen_route.py | evantancy/sumo-rl | 5d07ebed8d85235765db736184ec1b45931febc9 | [
"MIT"
] | null | null | null | sumo_rl/util/gen_route.py | evantancy/sumo-rl | 5d07ebed8d85235765db736184ec1b45931febc9 | [
"MIT"
] | null | null | null | sumo_rl/util/gen_route.py | evantancy/sumo-rl | 5d07ebed8d85235765db736184ec1b45931febc9 | [
"MIT"
] | null | null | null | import os
import sys
v4 = """<flow id="flow_ns_c" route="route_ns" begin="bb" end="ee" vehsPerHour="200" departSpeed="max" departPos="base" departLane="best"/>
<flow id="flow_nw_c" route="route_nw" begin="bb" end="ee" vehsPerHour="200" departSpeed="max" departPos="base" departLane="best"/>
<flow id="flow_ne_c" route="route_ne" begin="bb" end="ee" vehsPerHour="400" departSpeed="max" departPos="base" departLane="best"/>
<flow id="flow_sw_c" route="route_sw" begin="bb" end="ee" vehsPerHour="400" departSpeed="max" departPos="base" departLane="best"/>
<flow id="flow_sn_c" route="route_sn" begin="bb" end="ee" vehsPerHour="200" departSpeed="max" departPos="base" departLane="best"/>
<flow id="flow_se_c" route="route_se" begin="bb" end="ee" vehsPerHour="200" departSpeed="max" departPos="base" departLane="best"/>
<flow id="flow_en_c" route="route_en" begin="bb" end="ee" vehsPerHour="200" departSpeed="max" departPos="base" departLane="best"/>
<flow id="flow_ew_c" route="route_ew" begin="bb" end="ee" vehsPerHour="200" departSpeed="max" departPos="base" departLane="best"/>
<flow id="flow_es_c" route="route_es" begin="bb" end="ee" vehsPerHour="400" departSpeed="max" departPos="base" departLane="best"/>
<flow id="flow_wn_c" route="route_wn" begin="bb" end="ee" vehsPerHour="400" departSpeed="max" departPos="base" departLane="best"/>
<flow id="flow_we_c" route="route_we" begin="bb" end="ee" vehsPerHour="200" departSpeed="max" departPos="base" departLane="best"/>
<flow id="flow_ws_c" route="route_ws" begin="bb" end="ee" vehsPerHour="200" departSpeed="max" departPos="base" departLane="best"/>"""
h4 = v4
v = """<flow id="flow_ns_c" route="route_ns" begin="bb" end="ee" vehsPerHour="100" departSpeed="max" departPos="base" departLane="best"/>
<flow id="flow_nw_c" route="route_nw" begin="bb" end="ee" vehsPerHour="100" departSpeed="max" departPos="base" departLane="best"/>
<flow id="flow_ne_c" route="route_ne" begin="bb" end="ee" vehsPerHour="200" departSpeed="max" departPos="base" departLane="best"/>
<flow id="flow_sw_c" route="route_sw" begin="bb" end="ee" vehsPerHour="200" departSpeed="max" departPos="base" departLane="best"/>
<flow id="flow_sn_c" route="route_sn" begin="bb" end="ee" vehsPerHour="100" departSpeed="max" departPos="base" departLane="best"/>
<flow id="flow_se_c" route="route_se" begin="bb" end="ee" vehsPerHour="100" departSpeed="max" departPos="base" departLane="best"/>
<flow id="flow_en_c" route="route_en" begin="bb" end="ee" vehsPerHour="300" departSpeed="max" departPos="base" departLane="best"/>
<flow id="flow_ew_c" route="route_ew" begin="bb" end="ee" vehsPerHour="300" departSpeed="max" departPos="base" departLane="best"/>
<flow id="flow_es_c" route="route_es" begin="bb" end="ee" vehsPerHour="600" departSpeed="max" departPos="base" departLane="best"/>
<flow id="flow_wn_c" route="route_wn" begin="bb" end="ee" vehsPerHour="600" departSpeed="max" departPos="base" departLane="best"/>
<flow id="flow_we_c" route="route_we" begin="bb" end="ee" vehsPerHour="300" departSpeed="max" departPos="base" departLane="best"/>
<flow id="flow_ws_c" route="route_ws" begin="bb" end="ee" vehsPerHour="300" departSpeed="max" departPos="base" departLane="best"/>"""
h = """<flow id="flow_ns_c" route="route_ns" begin="bb" end="ee" vehsPerHour="200" departSpeed="max" departPos="base" departLane="best"/>
<flow id="flow_nw_c" route="route_nw" begin="bb" end="ee" vehsPerHour="200" departSpeed="max" departPos="base" departLane="best"/>
<flow id="flow_ne_c" route="route_ne" begin="bb" end="ee" vehsPerHour="400" departSpeed="max" departPos="base" departLane="best"/>
<flow id="flow_sw_c" route="route_sw" begin="bb" end="ee" vehsPerHour="400" departSpeed="max" departPos="base" departLane="best"/>
<flow id="flow_sn_c" route="route_sn" begin="bb" end="ee" vehsPerHour="200" departSpeed="max" departPos="base" departLane="best"/>
<flow id="flow_se_c" route="route_se" begin="bb" end="ee" vehsPerHour="200" departSpeed="max" departPos="base" departLane="best"/>
<flow id="flow_en_c" route="route_en" begin="bb" end="ee" vehsPerHour="200" departSpeed="max" departPos="base" departLane="best"/>
<flow id="flow_ew_c" route="route_ew" begin="bb" end="ee" vehsPerHour="200" departSpeed="max" departPos="base" departLane="best"/>
<flow id="flow_es_c" route="route_es" begin="bb" end="ee" vehsPerHour="400" departSpeed="max" departPos="base" departLane="best"/>
<flow id="flow_wn_c" route="route_wn" begin="bb" end="ee" vehsPerHour="400" departSpeed="max" departPos="base" departLane="best"/>
<flow id="flow_we_c" route="route_we" begin="bb" end="ee" vehsPerHour="200" departSpeed="max" departPos="base" departLane="best"/>
<flow id="flow_ws_c" route="route_ws" begin="bb" end="ee" vehsPerHour="200" departSpeed="max" departPos="base" departLane="best"/>"""
v2 = """<flow id="flow_ns_c" route="route_ns" begin="bb" end="ee" vehsPerHour="300" departSpeed="max" departPos="base" departLane="best"/>
<flow id="flow_nw_c" route="route_nw" begin="bb" end="ee" vehsPerHour="300" departSpeed="max" departPos="base" departLane="best"/>
<flow id="flow_ne_c" route="route_ne" begin="bb" end="ee" vehsPerHour="600" departSpeed="max" departPos="base" departLane="best"/>
<flow id="flow_sw_c" route="route_sw" begin="bb" end="ee" vehsPerHour="600" departSpeed="max" departPos="base" departLane="best"/>
<flow id="flow_sn_c" route="route_sn" begin="bb" end="ee" vehsPerHour="300" departSpeed="max" departPos="base" departLane="best"/>
<flow id="flow_se_c" route="route_se" begin="bb" end="ee" vehsPerHour="300" departSpeed="max" departPos="base" departLane="best"/>
<flow id="flow_en_c" route="route_en" begin="bb" end="ee" vehsPerHour="100" departSpeed="max" departPos="base" departLane="best"/>
<flow id="flow_ew_c" route="route_ew" begin="bb" end="ee" vehsPerHour="100" departSpeed="max" departPos="base" departLane="best"/>
<flow id="flow_es_c" route="route_es" begin="bb" end="ee" vehsPerHour="200" departSpeed="max" departPos="base" departLane="best"/>
<flow id="flow_wn_c" route="route_wn" begin="bb" end="ee" vehsPerHour="200" departSpeed="max" departPos="base" departLane="best"/>
<flow id="flow_we_c" route="route_we" begin="bb" end="ee" vehsPerHour="100" departSpeed="max" departPos="base" departLane="best"/>
<flow id="flow_ws_c" route="route_ws" begin="bb" end="ee" vehsPerHour="100" departSpeed="max" departPos="base" departLane="best"/>"""
h2 = """<flow id="flow_ns_c" route="route_ns" begin="bb" end="ee" vehsPerHour="100" departSpeed="max" departPos="base" departLane="best"/>
<flow id="flow_nw_c" route="route_nw" begin="bb" end="ee" vehsPerHour="100" departSpeed="max" departPos="base" departLane="best"/>
<flow id="flow_ne_c" route="route_ne" begin="bb" end="ee" vehsPerHour="200" departSpeed="max" departPos="base" departLane="best"/>
<flow id="flow_sw_c" route="route_sw" begin="bb" end="ee" vehsPerHour="200" departSpeed="max" departPos="base" departLane="best"/>
<flow id="flow_sn_c" route="route_sn" begin="bb" end="ee" vehsPerHour="100" departSpeed="max" departPos="base" departLane="best"/>
<flow id="flow_se_c" route="route_se" begin="bb" end="ee" vehsPerHour="100" departSpeed="max" departPos="base" departLane="best"/>
<flow id="flow_en_c" route="route_en" begin="bb" end="ee" vehsPerHour="300" departSpeed="max" departPos="base" departLane="best"/>
<flow id="flow_ew_c" route="route_ew" begin="bb" end="ee" vehsPerHour="300" departSpeed="max" departPos="base" departLane="best"/>
<flow id="flow_es_c" route="route_es" begin="bb" end="ee" vehsPerHour="600" departSpeed="max" departPos="base" departLane="best"/>
<flow id="flow_wn_c" route="route_wn" begin="bb" end="ee" vehsPerHour="600" departSpeed="max" departPos="base" departLane="best"/>
<flow id="flow_we_c" route="route_we" begin="bb" end="ee" vehsPerHour="300" departSpeed="max" departPos="base" departLane="best"/>
<flow id="flow_ws_c" route="route_ws" begin="bb" end="ee" vehsPerHour="300" departSpeed="max" departPos="base" departLane="best"/>"""
def get_context(begin, end, c):
if c % 2 == 0:
s = v
else:
s = h
s = s.replace("c", str(c)).replace("bb", str(begin)).replace("ee", str(end))
return s
def write_route_file(file, end, step):
with open(file, "w+") as f:
f.write(
"""<routes>
<route id="route_ns" edges="n_t t_s"/>
<route id="route_nw" edges="n_t t_w"/>
<route id="route_ne" edges="n_t t_e"/>
<route id="route_we" edges="w_t t_e"/>
<route id="route_wn" edges="w_t t_n"/>
<route id="route_ws" edges="w_t t_s"/>
<route id="route_ew" edges="e_t t_w"/>
<route id="route_en" edges="e_t t_n"/>
<route id="route_es" edges="e_t t_s"/>
<route id="route_sn" edges="s_t t_n"/>
<route id="route_se" edges="s_t t_e"/>
<route id="route_sw" edges="s_t t_w"/>"""
)
c = 0
for i in range(0, end, step):
f.write(get_context(i, i + step, c))
c += 1
f.write("""</routes>""")
if __name__ == "__main__":
write_route_file(
"nets/2way-single-intersection/single-intersection-gen.rou.xml", 400000, 100000
)
| 80.059322 | 138 | 0.671748 | 1,405 | 9,447 | 4.353025 | 0.057651 | 0.058862 | 0.098103 | 0.117724 | 0.929529 | 0.929529 | 0.902551 | 0.902551 | 0.902551 | 0.902551 | 0 | 0.024705 | 0.1302 | 9,447 | 117 | 139 | 80.74359 | 0.719606 | 0 | 0 | 0.53012 | 0 | 0.722892 | 0.930696 | 0.006953 | 0 | 0 | 0 | 0 | 0 | 1 | 0.024096 | false | 0 | 0.024096 | 0 | 0.060241 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
a64acda2cccbbfff0b64a8d8a3af50130b30dd3c | 10,860 | py | Python | showcase/migrations/0021_auto_20190126_1509.py | aseufert/sporttechiq | 90812142bedf63fed9d1e5f3b246b78299aa45f7 | [
"MIT"
] | null | null | null | showcase/migrations/0021_auto_20190126_1509.py | aseufert/sporttechiq | 90812142bedf63fed9d1e5f3b246b78299aa45f7 | [
"MIT"
] | null | null | null | showcase/migrations/0021_auto_20190126_1509.py | aseufert/sporttechiq | 90812142bedf63fed9d1e5f3b246b78299aa45f7 | [
"MIT"
] | null | null | null | # Generated by Django 2.0 on 2019-01-26 15:09
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('showcase', '0020_auto_20190121_0114'),
]
operations = [
migrations.AlterField(
model_name='playerscorecard',
name='cross_l_1',
field=models.FloatField(choices=[(1.0, '5 Star'), (0, '1 Star')], default=0.0, help_text='Select an option. Weight: 4.5', verbose_name='Cross Left 1'),
),
migrations.AlterField(
model_name='playerscorecard',
name='cross_l_2',
field=models.FloatField(choices=[(1.0, '5 Star'), (0, '1 Star')], default=0.0, help_text='Select an option. Weight: 4.5', verbose_name='Cross Left 2'),
),
migrations.AlterField(
model_name='playerscorecard',
name='cross_r_1',
field=models.FloatField(choices=[(1.0, '5 Star'), (0, '1 Star')], default=0.0, help_text='Select an option. Weight: 4.5', verbose_name='Cross Right 1'),
),
migrations.AlterField(
model_name='playerscorecard',
name='cross_r_2',
field=models.FloatField(choices=[(1.0, '5 Star'), (0, '1 Star')], default=0.0, help_text='Select an option. Weight: 4.5', verbose_name='Cross Right 2'),
),
migrations.AlterField(
model_name='playerscorecard',
name='finisher_l_1',
field=models.FloatField(choices=[(1.0, '5 Star'), (0, '1 Star')], default=0.0, help_text='Select an option. Weight: 7.5', verbose_name='Finish Left Foot 1'),
),
migrations.AlterField(
model_name='playerscorecard',
name='finisher_l_2',
field=models.FloatField(choices=[(1.0, '5 Star'), (0, '1 Star')], default=0.0, help_text='Select an option. Weight: 7.5', verbose_name='Finish Left Foot 2'),
),
migrations.AlterField(
model_name='playerscorecard',
name='finisher_l_3',
field=models.FloatField(choices=[(1.0, '5 Star'), (0, '1 Star')], default=0.0, help_text='Select an option. Weight: 7.5', verbose_name='Finish Left Foot 3'),
),
migrations.AlterField(
model_name='playerscorecard',
name='finisher_r_1',
field=models.FloatField(choices=[(1.0, '5 Star'), (0, '1 Star')], default=0.0, help_text='Select an option. Weight: 7.5', verbose_name='Finish Right Foot 1'),
),
migrations.AlterField(
model_name='playerscorecard',
name='finisher_r_2',
field=models.FloatField(choices=[(1.0, '5 Star'), (0, '1 Star')], default=0.0, help_text='Select an option. Weight: 7.5', verbose_name='Finish Right Foot 2'),
),
migrations.AlterField(
model_name='playerscorecard',
name='finisher_r_3',
field=models.FloatField(choices=[(1.0, '5 Star'), (0, '1 Star')], default=0.0, help_text='Select an option. Weight: 7.5', verbose_name='Finish Right Foot 3'),
),
migrations.AlterField(
model_name='playerscorecard',
name='long_l_1',
field=models.FloatField(choices=[(1.0, '5 Star'), (0, '1 Star')], default=0.0, help_text='Select an option. Weight: 4.5', verbose_name='Long Pass Left Foot 1'),
),
migrations.AlterField(
model_name='playerscorecard',
name='long_l_2',
field=models.FloatField(choices=[(1.0, '5 Star'), (0, '1 Star')], default=0.0, help_text='Select an option. Weight: 4.5', verbose_name='Long Pass Left Foot 2'),
),
migrations.AlterField(
model_name='playerscorecard',
name='long_r_1',
field=models.FloatField(choices=[(1.0, '5 Star'), (0, '1 Star')], default=0.0, help_text='Select an option. Weight: 4.5', verbose_name='Long Pass Right Foot 1'),
),
migrations.AlterField(
model_name='playerscorecard',
name='long_r_2',
field=models.FloatField(choices=[(1.0, '5 Star'), (0, '1 Star')], default=0.0, help_text='Select an option. Weight: 4.5', verbose_name='Long Pass Right Foot 2'),
),
migrations.AlterField(
model_name='playerscorecard',
name='shoot_pk',
field=models.FloatField(choices=[(1.0, '5 Star'), (0, '1 Star')], default=0.0, help_text='Select an option. Weight: 10.0', verbose_name='Penalty Kick'),
),
migrations.AlterField(
model_name='playerscorecard',
name='shoot_run_l_1',
field=models.FloatField(choices=[(1.0, '5 Star'), (0, '1 Star')], default=0.0, help_text='Select an option. Weight: 7.5', verbose_name='Shot Left Foot 1'),
),
migrations.AlterField(
model_name='playerscorecard',
name='shoot_run_l_2',
field=models.FloatField(choices=[(1.0, '5 Star'), (0, '1 Star')], default=0.0, help_text='Select an option. Weight: 7.5', verbose_name='Shot Left Foot 2'),
),
migrations.AlterField(
model_name='playerscorecard',
name='shoot_run_l_3',
field=models.FloatField(choices=[(1.0, '5 Star'), (0, '1 Star')], default=0.0, help_text='Select an option. Weight: 7.5', verbose_name='Shot Left Foot 3'),
),
migrations.AlterField(
model_name='playerscorecard',
name='shoot_run_r_1',
field=models.FloatField(choices=[(1.0, '5 Star'), (0, '1 Star')], default=0.0, help_text='Select an option. Weight: 7.5', verbose_name='Shot Right Foot 1'),
),
migrations.AlterField(
model_name='playerscorecard',
name='shoot_run_r_2',
field=models.FloatField(choices=[(1.0, '5 Star'), (0, '1 Star')], default=0.0, help_text='Select an option. Weight: 7.5', verbose_name='Shot Right Foot 2'),
),
migrations.AlterField(
model_name='playerscorecard',
name='shoot_run_r_3',
field=models.FloatField(choices=[(1.0, '5 Star'), (0, '1 Star')], default=0.0, help_text='Select an option. Weight: 7.5', verbose_name='Shot Right Foot 3'),
),
migrations.AlterField(
model_name='playerscorecard',
name='side_pass_l_1',
field=models.FloatField(choices=[(1.0, '5 Star'), (0, '1 Star')], default=0.0, help_text='Select an option. Weight: 4.5', verbose_name='Side Pass Left 1'),
),
migrations.AlterField(
model_name='playerscorecard',
name='side_pass_l_2',
field=models.FloatField(choices=[(1.0, '5 Star'), (0, '1 Star')], default=0.0, help_text='Select an option. Weight: 4.5', verbose_name='Side Pass Left 2'),
),
migrations.AlterField(
model_name='playerscorecard',
name='side_pass_l_3',
field=models.FloatField(choices=[(1.0, '5 Star'), (0, '1 Star')], default=0.0, help_text='Select an option. Weight: 4.5', verbose_name='Side Pass Left 3'),
),
migrations.AlterField(
model_name='playerscorecard',
name='side_pass_r_1',
field=models.FloatField(choices=[(1.0, '5 Star'), (0, '1 Star')], default=0.0, help_text='Select an option. Weight: 4.5', verbose_name='Side Pass Right 1'),
),
migrations.AlterField(
model_name='playerscorecard',
name='side_pass_r_2',
field=models.FloatField(choices=[(1.0, '5 Star'), (0, '1 Star')], default=0.0, help_text='Select an option. Weight: 4.5', verbose_name='Side Pass Right 2'),
),
migrations.AlterField(
model_name='playerscorecard',
name='side_pass_r_3',
field=models.FloatField(choices=[(1.0, '5 Star'), (0, '1 Star')], default=0.0, help_text='Select an option. Weight: 4.5', verbose_name='Side Pass Right 3'),
),
migrations.AlterField(
model_name='playerscorecard',
name='throw_between_1',
field=models.FloatField(choices=[(1.0, '5 Star'), (0, '1 Star')], default=0.0, help_text='Select an option. Weight: 2.5', verbose_name='Throw-in between far cones 1'),
),
migrations.AlterField(
model_name='playerscorecard',
name='throw_between_2',
field=models.FloatField(choices=[(1.0, '5 Star'), (0, '1 Star')], default=0.0, help_text='Select an option. Weight: 2.5', verbose_name='Throw-in between far cones 2'),
),
migrations.AlterField(
model_name='playerscorecard',
name='throw_inside_1',
field=models.FloatField(choices=[(1.0, '5 Star'), (0, '1 Star')], default=0.0, help_text='Select an option. Weight: 2.5', verbose_name='Throw Inside Box 1'),
),
migrations.AlterField(
model_name='playerscorecard',
name='throw_inside_2',
field=models.FloatField(choices=[(1.0, '5 Star'), (0, '1 Star')], default=0.0, help_text='Select an option. Weight: 2.5', verbose_name='Throw Inside Box 2'),
),
migrations.AlterField(
model_name='playerscorecard',
name='weigh_pass_l_1',
field=models.FloatField(choices=[(1.0, '5 Star'), (0, '1 Star')], default=0.0, help_text='Select an option. Weight: 4.5', verbose_name='Weighted Pass Left 1'),
),
migrations.AlterField(
model_name='playerscorecard',
name='weigh_pass_l_2',
field=models.FloatField(choices=[(1.0, '5 Star'), (0, '1 Star')], default=0.0, help_text='Select an option. Weight: 4.5', verbose_name='Weighted Pass Left 2'),
),
migrations.AlterField(
model_name='playerscorecard',
name='weigh_pass_l_3',
field=models.FloatField(choices=[(1.0, '5 Star'), (0, '1 Star')], default=0.0, help_text='Select an option. Weight: 4.5', verbose_name='Weighted Pass Left 3'),
),
migrations.AlterField(
model_name='playerscorecard',
name='weigh_pass_r_1',
field=models.FloatField(choices=[(1.0, '5 Star'), (0, '1 Star')], default=0.0, help_text='Select an option. Weight: 4.5', verbose_name='Weighted Pass Right 1'),
),
migrations.AlterField(
model_name='playerscorecard',
name='weigh_pass_r_2',
field=models.FloatField(choices=[(1.0, '5 Star'), (0, '1 Star')], default=0.0, help_text='Select an option. Weight: 4.5', verbose_name='Weighted Pass Right 2'),
),
migrations.AlterField(
model_name='playerscorecard',
name='weigh_pass_r_3',
field=models.FloatField(choices=[(1.0, '5 Star'), (0, '1 Star')], default=0.0, help_text='Select an option. Weight: 4.5', verbose_name='Weighted Pass Right 3'),
),
]
| 54.572864 | 179 | 0.590516 | 1,416 | 10,860 | 4.384181 | 0.051554 | 0.119201 | 0.149001 | 0.172841 | 0.971327 | 0.971327 | 0.971327 | 0.971005 | 0.895135 | 0.704253 | 0 | 0.05355 | 0.250276 | 10,860 | 198 | 180 | 54.848485 | 0.708917 | 0.003959 | 0 | 0.578125 | 1 | 0 | 0.29792 | 0.002127 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.145833 | 0.005208 | 0 | 0.020833 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 9 |
a6506949434b0476242c6e829705457c29585a86 | 233 | py | Python | exceptions.py | jay3ss/congenial-rotary-phone | c12a9295404ff9eb3282cf39e03cd6c64115190f | [
"MIT"
] | null | null | null | exceptions.py | jay3ss/congenial-rotary-phone | c12a9295404ff9eb3282cf39e03cd6c64115190f | [
"MIT"
] | 1 | 2019-06-06T21:56:56.000Z | 2019-06-06T21:56:56.000Z | exceptions.py | jay3ss/congenial-rotary-phone | c12a9295404ff9eb3282cf39e03cd6c64115190f | [
"MIT"
] | null | null | null | """Defines custom exceptions"""
class InvalidPositionException(Exception):
"""Exception that's raised for invalid positions"""
class EmptyException(Exception):
"""Exception that's raised when a data structure is empty"""
| 23.3 | 64 | 0.742489 | 26 | 233 | 6.653846 | 0.730769 | 0.208092 | 0.254335 | 0.265896 | 0.33526 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.145923 | 233 | 9 | 65 | 25.888889 | 0.869347 | 0.540773 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 7 |
a65dbea434ce0214a7b81af835a14af3347799fa | 8,298 | py | Python | ceph_deploy/tests/parser/test_osd.py | SUSE/ceph-deploy-to-be-deleted | a7a540668fcd23eea6b9e8d079ae60f32e5426e3 | [
"MIT"
] | 1 | 2020-07-29T15:09:23.000Z | 2020-07-29T15:09:23.000Z | ceph_deploy/tests/parser/test_osd.py | SUSE/ceph-deploy-to-be-deleted | a7a540668fcd23eea6b9e8d079ae60f32e5426e3 | [
"MIT"
] | null | null | null | ceph_deploy/tests/parser/test_osd.py | SUSE/ceph-deploy-to-be-deleted | a7a540668fcd23eea6b9e8d079ae60f32e5426e3 | [
"MIT"
] | null | null | null | import pytest
from ceph_deploy.cli import get_parser
SUBCMDS_WITH_ARGS = ['list', 'create', 'prepare', 'activate']
class TestParserOSD(object):
def setup(self):
self.parser = get_parser()
def test_osd_help(self, capsys):
with pytest.raises(SystemExit):
self.parser.parse_args('osd --help'.split())
out, err = capsys.readouterr()
assert 'usage: ceph-deploy osd' in out
assert 'positional arguments:' in out
assert 'optional arguments:' in out
@pytest.mark.parametrize('cmd', SUBCMDS_WITH_ARGS)
def test_osd_valid_subcommands_with_args(self, cmd):
self.parser.parse_args(['osd'] + ['%s' % cmd] + ['host1'])
def test_osd_invalid_subcommand(self, capsys):
with pytest.raises(SystemExit):
self.parser.parse_args('osd bork'.split())
out, err = capsys.readouterr()
assert 'invalid choice' in err
def test_osd_list_help(self, capsys):
with pytest.raises(SystemExit):
self.parser.parse_args('osd list --help'.split())
out, err = capsys.readouterr()
assert 'usage: ceph-deploy osd list' in out
def test_osd_list_host_required(self, capsys):
with pytest.raises(SystemExit):
self.parser.parse_args('osd list'.split())
out, err = capsys.readouterr()
assert 'too few arguments' in err
def test_osd_list_single_host(self):
args = self.parser.parse_args('osd list host1'.split())
assert args.disk[0][0] == 'host1'
def test_osd_list_multi_host(self):
hostnames = ['host1', 'host2', 'host3']
args = self.parser.parse_args('osd list'.split() + hostnames)
# args.disk is a list of tuples, and tuple[0] is the hostname
hosts = [x[0] for x in args.disk]
assert hosts == hostnames
def test_osd_create_help(self, capsys):
with pytest.raises(SystemExit):
self.parser.parse_args('osd create --help'.split())
out, err = capsys.readouterr()
assert 'usage: ceph-deploy osd create' in out
def test_osd_create_host_required(self, capsys):
with pytest.raises(SystemExit):
self.parser.parse_args('osd create'.split())
out, err = capsys.readouterr()
assert 'too few arguments' in err
def test_osd_create_single_host(self):
args = self.parser.parse_args('osd create host1:sdb'.split())
assert args.disk[0][0] == 'host1'
def test_osd_create_multi_host(self):
hostnames = ['host1', 'host2', 'host3']
args = self.parser.parse_args('osd create'.split() + [x + ":sdb" for x in hostnames])
# args.disk is a list of tuples, and tuple[0] is the hostname
hosts = [x[0] for x in args.disk]
assert hosts == hostnames
@pytest.mark.skipif(reason="http://tracker.ceph.com/issues/12168")
def test_osd_create_zap_default_false(self):
args = self.parser.parse_args('osd create host1:sdb'.split())
assert args.zap_disk is False
def test_osd_create_zap_true(self):
args = self.parser.parse_args('osd create --zap-disk host1:sdb'.split())
assert args.zap_disk is True
def test_osd_create_fstype_default_xfs(self):
args = self.parser.parse_args('osd create host1:sdb'.split())
assert args.fs_type == "xfs"
def test_osd_create_fstype_ext4(self):
args = self.parser.parse_args('osd create --fs-type ext4 host1:sdb'.split())
assert args.fs_type == "ext4"
def test_osd_create_fstype_invalid(self, capsys):
with pytest.raises(SystemExit):
self.parser.parse_args('osd create --fs-type bork host1:sdb'.split())
out, err = capsys.readouterr()
assert 'invalid choice' in err
@pytest.mark.skipif(reason="http://tracker.ceph.com/issues/12168")
def test_osd_create_dmcrypt_default_false(self):
args = self.parser.parse_args('osd create host1:sdb'.split())
assert args.dmcrypt is False
def test_osd_create_dmcrypt_true(self):
args = self.parser.parse_args('osd create --dmcrypt host1:sdb'.split())
assert args.dmcrypt is True
def test_osd_create_dmcrypt_key_dir_default(self):
args = self.parser.parse_args('osd create host1:sdb'.split())
assert args.dmcrypt_key_dir == "/etc/ceph/dmcrypt-keys"
def test_osd_create_dmcrypt_key_dir_custom(self):
args = self.parser.parse_args('osd create --dmcrypt --dmcrypt-key-dir /tmp/keys host1:sdb'.split())
assert args.dmcrypt_key_dir == "/tmp/keys"
def test_osd_prepare_help(self, capsys):
with pytest.raises(SystemExit):
self.parser.parse_args('osd prepare --help'.split())
out, err = capsys.readouterr()
assert 'usage: ceph-deploy osd prepare' in out
@pytest.mark.skipif(reason="http://tracker.ceph.com/issues/12168")
def test_osd_prepare_zap_default_false(self):
args = self.parser.parse_args('osd prepare host1:sdb'.split())
assert args.zap_disk is False
def test_osd_prepare_zap_true(self):
args = self.parser.parse_args('osd prepare --zap-disk host1:sdb'.split())
assert args.zap_disk is True
def test_osd_prepare_fstype_default_xfs(self):
args = self.parser.parse_args('osd prepare host1:sdb'.split())
assert args.fs_type == "xfs"
def test_osd_prepare_fstype_ext4(self):
args = self.parser.parse_args('osd prepare --fs-type ext4 host1:sdb'.split())
assert args.fs_type == "ext4"
def test_osd_prepare_fstype_invalid(self, capsys):
with pytest.raises(SystemExit):
self.parser.parse_args('osd prepare --fs-type bork host1:sdb'.split())
out, err = capsys.readouterr()
assert 'invalid choice' in err
@pytest.mark.skipif(reason="http://tracker.ceph.com/issues/12168")
def test_osd_prepare_dmcrypt_default_false(self):
args = self.parser.parse_args('osd prepare host1:sdb'.split())
assert args.dmcrypt is False
def test_osd_prepare_dmcrypt_true(self):
args = self.parser.parse_args('osd prepare --dmcrypt host1:sdb'.split())
assert args.dmcrypt is True
def test_osd_prepare_dmcrypt_key_dir_default(self):
args = self.parser.parse_args('osd prepare host1:sdb'.split())
assert args.dmcrypt_key_dir == "/etc/ceph/dmcrypt-keys"
def test_osd_prepare_dmcrypt_key_dir_custom(self):
args = self.parser.parse_args('osd prepare --dmcrypt --dmcrypt-key-dir /tmp/keys host1:sdb'.split())
assert args.dmcrypt_key_dir == "/tmp/keys"
def test_osd_prepare_host_required(self, capsys):
with pytest.raises(SystemExit):
self.parser.parse_args('osd prepare'.split())
out, err = capsys.readouterr()
assert 'too few arguments' in err
def test_osd_prepare_single_host(self):
args = self.parser.parse_args('osd prepare host1:sdb'.split())
assert args.disk[0][0] == 'host1'
def test_osd_prepare_multi_host(self):
hostnames = ['host1', 'host2', 'host3']
args = self.parser.parse_args('osd prepare'.split() + [x + ":sdb" for x in hostnames])
# args.disk is a list of tuples, and tuple[0] is the hostname
hosts = [x[0] for x in args.disk]
assert hosts == hostnames
def test_osd_activate_help(self, capsys):
with pytest.raises(SystemExit):
self.parser.parse_args('osd activate --help'.split())
out, err = capsys.readouterr()
assert 'usage: ceph-deploy osd activate' in out
def test_osd_activate_host_required(self, capsys):
with pytest.raises(SystemExit):
self.parser.parse_args('osd activate'.split())
out, err = capsys.readouterr()
assert 'too few arguments' in err
def test_osd_activate_single_host(self):
args = self.parser.parse_args('osd activate host1:sdb1'.split())
assert args.disk[0][0] == 'host1'
def test_osd_activate_multi_host(self):
hostnames = ['host1', 'host2', 'host3']
args = self.parser.parse_args('osd activate'.split() + [x + ":sdb1" for x in hostnames])
# args.disk is a list of tuples, and tuple[0] is the hostname
hosts = [x[0] for x in args.disk]
assert hosts == hostnames
| 41.079208 | 108 | 0.658954 | 1,149 | 8,298 | 4.570931 | 0.083551 | 0.072353 | 0.070449 | 0.133854 | 0.912605 | 0.894897 | 0.884044 | 0.870145 | 0.867669 | 0.796268 | 0 | 0.012801 | 0.218607 | 8,298 | 201 | 109 | 41.283582 | 0.797193 | 0.028802 | 0 | 0.496774 | 0 | 0 | 0.178048 | 0.005463 | 0 | 0 | 0 | 0 | 0.245161 | 1 | 0.245161 | false | 0 | 0.012903 | 0 | 0.264516 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
a6865b3fa94727c5642e61521d3ffc8946534208 | 88 | py | Python | src/example_package/example.py | pablo2909/packaging_tutorial | 3a29944e075bb8851b56512564a8f6baba3a963b | [
"MIT"
] | null | null | null | src/example_package/example.py | pablo2909/packaging_tutorial | 3a29944e075bb8851b56512564a8f6baba3a963b | [
"MIT"
] | null | null | null | src/example_package/example.py | pablo2909/packaging_tutorial | 3a29944e075bb8851b56512564a8f6baba3a963b | [
"MIT"
] | null | null | null | def add_one(number):
return number + 1
def add_two(number):
return number + 2
| 12.571429 | 21 | 0.659091 | 14 | 88 | 4 | 0.571429 | 0.214286 | 0.642857 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.030303 | 0.25 | 88 | 6 | 22 | 14.666667 | 0.818182 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.5 | false | 0 | 0 | 0.5 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 7 |
a6c135efea4223cc59aee9e170c2493c0041a693 | 2,645 | py | Python | models/UNet_Hollow_Kernels_A2_Congig2.py | cviaai/LORCK | 41a62c74b400d9e2cfbd088f25e76d00902c9160 | [
"Apache-2.0"
] | 2 | 2021-03-16T03:18:54.000Z | 2022-02-21T14:54:36.000Z | models/UNet_Hollow_Kernels_A2_Congig2.py | cviaai/LEARNABLE-HOLLOW-KERNELS | 41a62c74b400d9e2cfbd088f25e76d00902c9160 | [
"Apache-2.0"
] | null | null | null | models/UNet_Hollow_Kernels_A2_Congig2.py | cviaai/LEARNABLE-HOLLOW-KERNELS | 41a62c74b400d9e2cfbd088f25e76d00902c9160 | [
"Apache-2.0"
] | null | null | null | import sys
import torch
import torch.nn as nn
import torch.nn.functional as F
from UNet_PD import UNet_Dilated
class UNet_Dilated_2levels_config1(nn.Module):
def __init__(self, n_class):
super().__init__()
self.model = UNet_Dilated(1, n_class)
self.model.model.conv_down[0].conv_layers = nn.ModuleList(
[nn.Conv2d(1, 32, 10,
padding=4,
dilation=1,
bias=False),
nn.Conv2d(32, 32, 4, padding=5, dilation=3)])
self.model.model.conv_down[1].conv_layers = nn.ModuleList(
[nn.Conv2d(32, 128, 10 ,
stride=2, dilation=2,
padding=5 + 4 - 1,
bias=False),
nn.Conv2d(128, 128, 4, padding=5, dilation=3)])
def forward(self, x):
x = self.model(x)
return x
class UNet_Dilated_2levels_config2(nn.Module):
def __init__(self, n_class):
super().__init__()
self.model = UNet_Dilated(1, n_class)
self.model.model.conv_down[0].conv_layers = nn.ModuleList(
[nn.Conv2d(1, 32, 10,
padding=4,
dilation=1,
bias=False),
nn.Conv2d(32, 32, 4, padding=5, dilation=3)])
self.model.model.conv_down[1].conv_layers = nn.ModuleList(
[nn.Conv2d(32, 128, 20 ,
stride=2, dilation=1,
padding=8,
bias=False),
nn.Conv2d(128, 128, 4, padding=5, dilation=3)])
def forward(self, x):
x = self.model(x)
return x
class UNet_Dilated_2levels_config3(nn.Module):
def __init__(self, n_class):
super().__init__()
self.model = UNet_Dilated(1, n_class)
self.model.model.conv_down[0].conv_layers = nn.ModuleList(
[nn.Conv2d(1, 32, 10,
padding=4,
dilation=1,
bias=False),
nn.Conv2d(32, 32, 4, padding=5, dilation=3)])
self.model.model.conv_down[1].conv_layers = nn.ModuleList(
[nn.Conv2d(32, 128, 10 ,
stride=2,
padding=5,
dilation=1,
bias=False),
nn.Conv2d(128, 128, 4, padding=4, dilation=3)])
def forward(self, x):
x = self.model(x)
return x
| 30.755814 | 66 | 0.467675 | 302 | 2,645 | 3.910596 | 0.155629 | 0.091448 | 0.071126 | 0.091448 | 0.84166 | 0.84166 | 0.834886 | 0.834886 | 0.834886 | 0.806943 | 0 | 0.08399 | 0.423819 | 2,645 | 85 | 67 | 31.117647 | 0.690945 | 0 | 0 | 0.746032 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.095238 | false | 0 | 0.079365 | 0 | 0.269841 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
a6cfa6bf95b096601a2cce64fdae499078997747 | 44 | py | Python | blogmods/s.py | stonescar/multi-user-blog | a402dafde1f7d94031129638aa072ce39223e80e | [
"MIT"
] | null | null | null | blogmods/s.py | stonescar/multi-user-blog | a402dafde1f7d94031129638aa072ce39223e80e | [
"MIT"
] | null | null | null | blogmods/s.py | stonescar/multi-user-blog | a402dafde1f7d94031129638aa072ce39223e80e | [
"MIT"
] | null | null | null | secret = "6c133e4c16ceb5c478439b057472ceb9"
| 22 | 43 | 0.863636 | 2 | 44 | 19 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.512195 | 0.068182 | 44 | 1 | 44 | 44 | 0.414634 | 0 | 0 | 0 | 0 | 0 | 0.727273 | 0.727273 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
a6d7b9f1f86e61557e2b7afb04a993f1a138885f | 134 | py | Python | src/spaceone/board/info/__init__.py | spaceone-dev/board | 1733756344240b1498bca85b6e1b88d741425ea0 | [
"Apache-2.0"
] | null | null | null | src/spaceone/board/info/__init__.py | spaceone-dev/board | 1733756344240b1498bca85b6e1b88d741425ea0 | [
"Apache-2.0"
] | 1 | 2022-03-23T06:44:15.000Z | 2022-03-23T06:52:39.000Z | src/spaceone/board/info/__init__.py | spaceone-dev/board | 1733756344240b1498bca85b6e1b88d741425ea0 | [
"Apache-2.0"
] | 1 | 2022-03-22T08:59:01.000Z | 2022-03-22T08:59:01.000Z | from spaceone.board.info.common_info import *
from spaceone.board.info.board_info import *
from spaceone.board.info.post_info import * | 44.666667 | 45 | 0.828358 | 21 | 134 | 5.142857 | 0.333333 | 0.333333 | 0.472222 | 0.583333 | 0.574074 | 0.574074 | 0 | 0 | 0 | 0 | 0 | 0 | 0.08209 | 134 | 3 | 46 | 44.666667 | 0.878049 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 8 |
472b768385fddfac02023ea92414efab53d0e113 | 190 | py | Python | echecs_hall/app/controller/mj_hall_controller/reward_controller.py | obespoir/echecs | e4bb8be1d360b6c568725aee4dfe4c037a855a49 | [
"AFL-3.0"
] | 14 | 2020-03-22T14:03:51.000Z | 2022-02-21T09:28:39.000Z | echecs_hall/app/controller/mj_hall_controller/reward_controller.py | obespoir/echecs | e4bb8be1d360b6c568725aee4dfe4c037a855a49 | [
"AFL-3.0"
] | null | null | null | echecs_hall/app/controller/mj_hall_controller/reward_controller.py | obespoir/echecs | e4bb8be1d360b6c568725aee4dfe4c037a855a49 | [
"AFL-3.0"
] | 7 | 2020-03-22T13:57:43.000Z | 2022-02-21T09:30:17.000Z | # coding=utf-8
from app.data_bridge import mj_hall_bridge
def get_all_reward_info():
"""
获取奖励详情
:param:
:return:list
"""
return mj_hall_bridge.get_all_reward_info() | 17.272727 | 47 | 0.684211 | 28 | 190 | 4.25 | 0.678571 | 0.10084 | 0.201681 | 0.268908 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006667 | 0.210526 | 190 | 11 | 47 | 17.272727 | 0.786667 | 0.215789 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | true | 0 | 0.333333 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
5b3ffaf78da144b7c8b7099160b7b1686434d6fa | 20,353 | py | Python | main.py | sam18j/01-Interactive-Fiction | abe78abd765e5f5fcb6e08e44b2533b29e3ed32f | [
"MIT"
] | null | null | null | main.py | sam18j/01-Interactive-Fiction | abe78abd765e5f5fcb6e08e44b2533b29e3ed32f | [
"MIT"
] | null | null | null | main.py | sam18j/01-Interactive-Fiction | abe78abd765e5f5fcb6e08e44b2533b29e3ed32f | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import sys
assert sys.version_info >= (3,9), "This script requires at least Python 3.9"
world = {
"uuid": "275CA666-55FC-4952-8BD7-A464A095E3C3",
"name": "Hunted Castle",
"creator": "Twine",
"creatorVersion": "2.3.14",
"schemaName": "Harlowe 3 to JSON",
"schemaVersion": "0.0.6",
"createdAtMs": 1631553882881,
"passages": [
{
"name": "East of the Castle",
"tags": "",
"id": "1",
"text": "This is a open village east of the Castle, with run down houses all around you.\n\n[[NORTH->North of Castle]]\n[[SOUTH->South of Castle]]\n[[WEST->Grave yard]]\n[[ENTER->House]]\n[[WEST->West of Castle]]",
"links": [
{
"linkText": "NORTH",
"passageName": "North of Castle",
"original": "[[NORTH->North of Castle]]"
},
{
"linkText": "SOUTH",
"passageName": "South of Castle",
"original": "[[SOUTH->South of Castle]]"
},
{
"linkText": "WEST",
"passageName": "Grave yard",
"original": "[[WEST->Grave yard]]"
},
{
"linkText": "ENTER",
"passageName": "House",
"original": "[[ENTER->House]]"
},
{
"linkText": "WEST",
"passageName": "West of Castle",
"original": "[[WEST->West of Castle]]"
}
],
"hooks": [],
"cleanText": "This is a open village east of the Castle, with run down houses all around you."
},
current = "East of the Castle"
response = ""
while True:
if response == "quit":
break
# Find passage (update)
current_location = {}
for passage in world["passages"]:
if passage["name"] == current:
current_location = passage
# Display passage (render the world)
print(current_location["name"])
print(current_location["cleanText"])
for link in current_location["links"]:
print(link["linkText"])
# Ask for response (get input)
response = input("Where do you want to go?")
for link in current_location["links"]:
if response == link["linkText"]:
current = link["passageName"]
{
"name": "North of Castle",
"tags": "",
"id": "2",
"text": "You're facing the gates of the Castle, there is no one guarding the gates.\n\n[[EAST->East of the Castle]]\n[[SOUTH->South of Castle]]\n[[WEST->Grave yard]]\n[[ENTER->Castle]]\n[[WEST->West of Castle]]",
"links": [
{
"linkText": "EAST",
"passageName": "East of the Castle",
"original": "[[EAST->East of the Castle]]"
},
{
"linkText": "SOUTH",
"passageName": "South of Castle",
"original": "[[SOUTH->South of Castle]]"
},
{
"linkText": "WEST",
"passageName": "Grave yard",
"original": "[[WEST->Grave yard]]"
},
{
"linkText": "ENTER",
"passageName": "Castle",
"original": "[[ENTER->Castle]]"
},
{
"linkText": "WEST",
"passageName": "West of Castle",
"original": "[[WEST->West of Castle]]"
}
],
"hooks": [],
"cleanText": "You're facing the gates of the Castle, there is no one guarding the gates."
},
current = "North of Castle"
response = ""
while True:
if response == "quit":
break
# Find passage (update)
current_location = {}
for passage in world["passages"]:
if passage["name"] == current:
current_location = passage
# Display passage (render the world)
print(current_location["name"])
print(current_location["cleanText"])
for link in current_location["links"]:
print(link["linkText"])
# Ask for response (get input)
response = input("Where do you want to go?")
for link in current_location["links"]:
if response == link["linkText"]:
current = link["passageName"]
{
"name": "South of Castle",
"tags": "",
"id": "3",
"text": "You're facing the South side of the castle. There is a garden full of dead plants and pumpkins.\n\n[[NORTH->North of Castle]]\n[[EAST->East of the Castle]]\n[[WEST->Grave yard]]\n[[ENTER->Garden]]\n[[WEST->West of Castle]]",
"links": [
{
"linkText": "NORTH",
"passageName": "North of Castle",
"original": "[[NORTH->North of Castle]]"
},
{
"linkText": "EAST",
"passageName": "East of the Castle",
"original": "[[EAST->East of the Castle]]"
},
{
"linkText": "WEST",
"passageName": "Grave yard",
"original": "[[WEST->Grave yard]]"
},
{
"linkText": "ENTER",
"passageName": "Garden",
"original": "[[ENTER->Garden]]"
},
{
"linkText": "WEST",
"passageName": "West of Castle",
"original": "[[WEST->West of Castle]]"
}
],
"hooks": [],
"cleanText": "You're facing the South side of the castle. There is a garden full of dead plants and pumpkins."
},
current = "South of Castle"
response = ""
while True:
if response == "quit":
break
# Find passage (update)
current_location = {}
for passage in world["passages"]:
if passage["name"] == current:
current_location = passage
# Display passage (render the world)
print(current_location["name"])
print(current_location["cleanText"])
for link in current_location["links"]:
print(link["linkText"])
# Ask for response (get input)
response = input("Where do you want to go?")
for link in current_location["links"]:
if response == link["linkText"]:
current = link["passageName"]
{
"name": "Grave yard",
"tags": "",
"id": "4",
"text": "This is a grave yard. Most the graves are broken down and moss growing on it.\n\n[[EAST->East of the Castle]]\n[[SOUTH->South of Castle]]\n[[NORTH->North of Castle]]\n[[WEST->West of Castle]]",
"links": [
{
"linkText": "EAST",
"passageName": "East of the Castle",
"original": "[[EAST->East of the Castle]]"
},
{
"linkText": "SOUTH",
"passageName": "South of Castle",
"original": "[[SOUTH->South of Castle]]"
},
{
"linkText": "NORTH",
"passageName": "North of Castle",
"original": "[[NORTH->North of Castle]]"
},
{
"linkText": "WEST",
"passageName": "West of Castle",
"original": "[[WEST->West of Castle]]"
}
],
"hooks": [],
"cleanText": "This is a grave yard. Most the graves are broken down and moss growing on it."
},
current = "Grave yard"
response = ""
while True:
if response == "quit":
break
# Find passage (update)
current_location = {}
for passage in world["passages"]:
if passage["name"] == current:
current_location = passage
# Display passage (render the world)
print(current_location["name"])
print(current_location["cleanText"])
for link in current_location["links"]:
print(link["linkText"])
# Ask for response (get input)
response = input("Where do you want to go?")
for link in current_location["links"]:
if response == link["linkText"]:
current = link["passageName"]
{
"name": "Castle",
"tags": "",
"id": "5",
"text": "You entered the Castle. Theres a eerie feeling as look around. Theres a large spiral staircase and right next to the staircase there is a hallway. You hear no noise in the Castle and you feel a cool breeze.\n\n[[UP->Staircase]]\n[[ENTER->Hallway]]\n[[EAST->East of the Castle]]\n[[NORTH->North of Castle]]\n[[SOUTH->South of Castle]]\n[[WEST->Grave yard]]",
"links": [
{
"linkText": "UP",
"passageName": "Staircase",
"original": "[[UP->Staircase]]"
},
{
"linkText": "ENTER",
"passageName": "Hallway",
"original": "[[ENTER->Hallway]]"
},
{
"linkText": "EAST",
"passageName": "East of the Castle",
"original": "[[EAST->East of the Castle]]"
},
{
"linkText": "NORTH",
"passageName": "North of Castle",
"original": "[[NORTH->North of Castle]]"
},
{
"linkText": "SOUTH",
"passageName": "South of Castle",
"original": "[[SOUTH->South of Castle]]"
},
{
"linkText": "WEST",
"passageName": "Grave yard",
"original": "[[WEST->Grave yard]]"
}
],
"hooks": [],
"cleanText": "You entered the Castle. Theres a eerie feeling as look around. Theres a large spiral staircase and right next to the staircase there is a hallway. You hear no noise in the Castle and you feel a cool breeze."
},
current = "Castle"
response = ""
while True:
if response == "quit":
break
# Find passage (update)
current_location = {}
for passage in world["passages"]:
if passage["name"] == current:
current_location = passage
# Display passage (render the world)
print(current_location["name"])
print(current_location["cleanText"])
for link in current_location["links"]:
print(link["linkText"])
# Ask for response (get input)
response = input("Where do you want to go?")
for link in current_location["links"]:
if response == link["linkText"]:
current = link["passageName"]
{
"name": "Garden",
"tags": "",
"id": "6",
"text": "You entered the garden. You pick up a dead flower but it crumbles after you pick it up. Then you accidently step in a crashed pumpkin.\n\n[[SOUTH->South of Castle]]\n[[WEST->Grave yard]]\n[[NORTH->North of Castle]]\n[[EAST->East of the Castle]]",
"links": [
{
"linkText": "SOUTH",
"passageName": "South of Castle",
"original": "[[SOUTH->South of Castle]]"
},
{
"linkText": "WEST",
"passageName": "Grave yard",
"original": "[[WEST->Grave yard]]"
},
{
"linkText": "NORTH",
"passageName": "North of Castle",
"original": "[[NORTH->North of Castle]]"
},
{
"linkText": "EAST",
"passageName": "East of the Castle",
"original": "[[EAST->East of the Castle]]"
}
],
"hooks": [],
"cleanText": "You entered the garden. You pick up a dead flower but it crumbles after you pick it up. Then you accidently step in a crashed pumpkin."
},
current = "Garden"
response = ""
while True:
if response == "quit":
break
# Find passage (update)
current_location = {}
for passage in world["passages"]:
if passage["name"] == current:
current_location = passage
# Display passage (render the world)
print(current_location["name"])
print(current_location["cleanText"])
for link in current_location["links"]:
print(link["linkText"])
# Ask for response (get input)
response = input("Where do you want to go?")
for link in current_location["links"]:
if response == link["linkText"]:
current = link["passageName"]
{
"name": "House",
"tags": "",
"id": "7",
"text": "You entered one of the houses. You see a table with two chairs, one is tipped over. There also a bed and a small kitchen. Theres a picture frame on the counter with a crossed out picture.\n\n[[SOUTH->South of Castle]]\n[[NORTH->North of Castle]]\n[[WEST->Grave yard]]\n[[EAST->East of the Castle]]",
"links": [
{
"linkText": "SOUTH",
"passageName": "South of Castle",
"original": "[[SOUTH->South of Castle]]"
},
{
"linkText": "NORTH",
"passageName": "North of Castle",
"original": "[[NORTH->North of Castle]]"
},
{
"linkText": "WEST",
"passageName": "Grave yard",
"original": "[[WEST->Grave yard]]"
},
{
"linkText": "EAST",
"passageName": "East of the Castle",
"original": "[[EAST->East of the Castle]]"
}
],
"hooks": [],
"cleanText": "You entered one of the houses. You see a table with two chairs, one is tipped over. There also a bed and a small kitchen. Theres a picture frame on the counter with a crossed out picture."
},
current = "House"
response = ""
while True:
if response == "quit":
break
# Find passage (update)
current_location = {}
for passage in world["passages"]:
if passage["name"] == current:
current_location = passage
# Display passage (render the world)
print(current_location["name"])
print(current_location["cleanText"])
for link in current_location["links"]:
print(link["linkText"])
# Ask for response (get input)
response = input("Where do you want to go?")
for link in current_location["links"]:
if response == link["linkText"]:
current = link["passageName"]
{
"name": "Staircase",
"tags": "",
"id": "8",
"text": "You're on the second floor of the Castle. You decided to walk in one of the rooms. As you walk into the room you see blood all over the floor. But then you what looks like a women staring out the window. She turns around and screams 'HELP ME' and jumps at you. You fall down and run out the room.\n\n[[DOWN->Staircase]]\n[[ENTER->Hallway]]\n[[NORTH->North of Castle]]\n[[SOUTH->South of Castle]]\n[[EAST->East of the Castle]]\n[[WEST->Grave yard]]",
"links": [
{
"linkText": "DOWN",
"passageName": "Staircase",
"original": "[[DOWN->Staircase]]"
},
{
"linkText": "ENTER",
"passageName": "Hallway",
"original": "[[ENTER->Hallway]]"
},
{
"linkText": "NORTH",
"passageName": "North of Castle",
"original": "[[NORTH->North of Castle]]"
},
{
"linkText": "SOUTH",
"passageName": "South of Castle",
"original": "[[SOUTH->South of Castle]]"
},
{
"linkText": "EAST",
"passageName": "East of the Castle",
"original": "[[EAST->East of the Castle]]"
},
{
"linkText": "WEST",
"passageName": "Grave yard",
"original": "[[WEST->Grave yard]]"
}
],
"hooks": [],
"cleanText": "You're on the second floor of the Castle. You decided to walk in one of the rooms. As you walk into the room you see blood all over the floor. But then you what looks like a women staring out the window. She turns around and screams 'HELP ME' and jumps at you. You fall down and run out the room."
},
current = "Staircase"
response = ""
while True:
if response == "quit":
break
# Find passage (update)
current_location = {}
for passage in world["passages"]:
if passage["name"] == current:
current_location = passage
# Display passage (render the world)
print(current_location["name"])
print(current_location["cleanText"])
for link in current_location["links"]:
print(link["linkText"])
# Ask for response (get input)
response = input("Where do you want to go?")
for link in current_location["links"]:
if response == link["linkText"]:
current = link["passageName"]
{
"name": "Hallway",
"tags": "",
"id": "9",
"text": "You're are in the Hallway. You spot a weird looking door across from you, it was decorated with lion on top and vines coming out from the side of the lion. You open the door and found skeletons piled up in the middle of the floor. There was writing repeating the same words 'The Maiden is coming for you'. And the room smelled so bad that you felt like throwing up so you exit the room.\n\n[[NORTH->North of Castle]]\n[[UP->Staircase]]\n[[SOUTH->South of Castle]]\n[[EAST->East of the Castle]]\n[[WEST->Grave yard]]",
"links": [
{
"linkText": "NORTH",
"passageName": "North of Castle",
"original": "[[NORTH->North of Castle]]"
},
{
"linkText": "UP",
"passageName": "Staircase",
"original": "[[UP->Staircase]]"
},
{
"linkText": "SOUTH",
"passageName": "South of Castle",
"original": "[[SOUTH->South of Castle]]"
},
{
"linkText": "EAST",
"passageName": "East of the Castle",
"original": "[[EAST->East of the Castle]]"
},
{
"linkText": "WEST",
"passageName": "Grave yard",
"original": "[[WEST->Grave yard]]"
}
],
"hooks": [],
"cleanText": "You're are in the Hallway. You spot a weird looking door across from you, it was decorated with lion on top and vines coming out from the side of the lion. You open the door and found skeletons piled up in the middle of the floor. There was writing repeating the same words 'The Maiden is coming for you'. And the room smelled so bad that you felt like throwing up so you exit the room."
},
current = "Hallway"
response = ""
while True:
if response == "quit":
break
# Find passage (update)
current_location = {}
for passage in world["passages"]:
if passage["name"] == current:
current_location = passage
# Display passage (render the world)
print(current_location["name"])
print(current_location["cleanText"])
for link in current_location["links"]:
print(link["linkText"])
# Ask for response (get input)
response = input("Where do you want to go?")
for link in current_location["links"]:
if response == link["linkText"]:
current = link["passageName"]
{
"name": "West of Castle",
"tags": "",
"id": "10",
"text": "This is the west of the Castle. There is a path that leads out of the village.",
"links": [],
"hooks": [],
"cleanText": "This is the west of the Castle. There is a path that leads out of the village."
}
]
}
current = "West of Castle"
response = ""
while True:
if response == "quit":
break
# Find passage (update)
current_location = {}
for passage in world["passages"]:
if passage["name"] == current:
current_location = passage
# Display passage (render the world)
print(current_location["name"])
print(current_location["cleanText"])
for link in current_location["links"]:
print(link["linkText"])
# Ask for response (get input)
response = input("Where do you want to go?")
for link in current_location["links"]:
if response == link["linkText"]:
current = link["passageName"]
if "name" in world and "passages" in world:
print(world["name"])
print()
for passage in world["passages"]:
print(passage["name"])
print(passage["cleanText"])
for link in passage["links"]:
print(link["linkText"])
print() | 36.086879 | 532 | 0.53034 | 2,243 | 20,353 | 4.785109 | 0.097637 | 0.049194 | 0.036896 | 0.039132 | 0.920432 | 0.913258 | 0.913258 | 0.907202 | 0.899655 | 0.888475 | 0 | 0.004302 | 0.326242 | 20,353 | 564 | 533 | 36.086879 | 0.778385 | 0.043286 | 0 | 0.637965 | 0 | 0.029354 | 0.465641 | 0.050149 | 0 | 0 | 0 | 0 | 0.001957 | 0 | null | null | 0.176125 | 0.001957 | null | null | 0.07045 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 8 |
5b5ba891b7e4c6f3aad9a968c3ce9838657f1bfa | 71 | py | Python | halotools/mock_observables/radial_profiles/engines/__init__.py | pllim/halotools | 6499cff09e7e0f169e4f425ee265403f6be816e8 | [
"BSD-3-Clause"
] | 83 | 2015-01-15T14:54:16.000Z | 2021-12-09T11:28:02.000Z | halotools/mock_observables/radial_profiles/engines/__init__.py | pllim/halotools | 6499cff09e7e0f169e4f425ee265403f6be816e8 | [
"BSD-3-Clause"
] | 579 | 2015-01-14T15:57:37.000Z | 2022-01-13T18:58:44.000Z | halotools/mock_observables/radial_profiles/engines/__init__.py | pllim/halotools | 6499cff09e7e0f169e4f425ee265403f6be816e8 | [
"BSD-3-Clause"
] | 70 | 2015-01-14T15:15:58.000Z | 2021-12-22T18:18:31.000Z | """
"""
from .radial_profile_3d_engine import radial_profile_3d_engine
| 17.75 | 62 | 0.816901 | 10 | 71 | 5.2 | 0.6 | 0.5 | 0.576923 | 0.807692 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.030769 | 0.084507 | 71 | 3 | 63 | 23.666667 | 0.769231 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 8 |
5beb13dd2f18e6091c0febd5a82767556674bfff | 57 | py | Python | CIFAR/__init__.py | IronMastiff/CIFAR-10 | cd50088eeff686b36c3f09c1701a2a0763aeaa89 | [
"Apache-2.0"
] | 1 | 2018-02-22T03:10:32.000Z | 2018-02-22T03:10:32.000Z | CIFAR/__init__.py | IronMastiff/CIFAR-10 | cd50088eeff686b36c3f09c1701a2a0763aeaa89 | [
"Apache-2.0"
] | null | null | null | CIFAR/__init__.py | IronMastiff/CIFAR-10 | cd50088eeff686b36c3f09c1701a2a0763aeaa89 | [
"Apache-2.0"
] | null | null | null | from CIFAR import cifar10
from CIFAR import cifar10_input | 28.5 | 31 | 0.877193 | 9 | 57 | 5.444444 | 0.555556 | 0.367347 | 0.612245 | 0.897959 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.08 | 0.122807 | 57 | 2 | 31 | 28.5 | 0.9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 8 |
5bf59e3e3b431a50ea9d4cda8e8b6488fdc6a6b6 | 142,539 | py | Python | tests/linetests.py | ailin-nemui/Ascidia | 607a4f5ce503081556acbb5af2fb536ec9e04e91 | [
"MIT"
] | 79 | 2015-01-14T10:27:03.000Z | 2022-03-22T01:34:35.000Z | tests/linetests.py | ailin-nemui/Ascidia | 607a4f5ce503081556acbb5af2fb536ec9e04e91 | [
"MIT"
] | 3 | 2015-05-19T18:35:41.000Z | 2016-01-12T20:28:21.000Z | tests/linetests.py | ailin-nemui/Ascidia | 607a4f5ce503081556acbb5af2fb536ec9e04e91 | [
"MIT"
] | 19 | 2016-07-30T08:21:08.000Z | 2021-09-13T03:46:14.000Z | #!/usr/bin/python2
"""
Copyright (c) 2012 Mark Frimston
Permission is hereby granted, free of charge, to any person
obtaining a copy of this software and associated documentation
files (the "Software"), to deal in the Software without
restriction, including without limitation the rights to use,
copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the
Software is furnished to do so, subject to the following
conditions:
The above copyright notice and this permission notice shall be
included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
OTHER DEALINGS IN THE SOFTWARE.
"""
import unittest
import core
import patterns
import main
import math
from ptests import *
class TestShortUpDiagLinePattern(unittest.TestCase,PatternTests):
def __init__(self,*args,**kargs):
unittest.TestCase.__init__(self,*args,**kargs)
self.pclass = patterns.ShortUpDiagLinePattern
def test_accepts_line(self):
p = self.pclass()
feed_input(p,0,2, " / \n")
feed_input(p,1,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(1,3," ",core.M_NONE))
def test_allows_occupied_left_context(self):
p = self.pclass()
p.test(main.CurrentChar(0,2," ",core.M_OCCUPIED))
def test_rejects_alpha_as_left_context(self):
p = self.pclass()
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,2,"b",core.M_NONE))
def test_rejects_numeric_as_left_context(self):
p = self.pclass()
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,2,"9",core.M_NONE))
def test_expects_forwardslash(self):
p = self.pclass()
feed_input(p,0,2," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,3," ",core.M_NONE))
def test_expects_forwardslash_unoccupied(self):
p = self.pclass()
feed_input(p,0,2," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,3,"/",core.M_OCCUPIED))
def test_allows_occupied_right_context(self):
p = self.pclass()
feed_input(p,0,2," /")
p.test(main.CurrentChar(0,4," ",core.M_OCCUPIED))
def test_rejects_alpha_as_right_context(self):
p = self.pclass()
feed_input(p,0,2," /")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,4,"d",core.M_NONE))
def test_rejects_numeric_as_right_context(self):
p = self.pclass()
feed_input(p,0,2," /")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,4,"5",core.M_NONE))
def test_allows_rest_of_first_line(self):
p = self.pclass()
feed_input(p,0,2," / ")
p.test(main.CurrentChar(0,5,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(0,6,"b",core.M_OCCUPIED))
p.test(main.CurrentChar(0,7,"\n",core.M_OCCUPIED))
def test_allows_start_of_second_line(self):
p = self.pclass()
feed_input(p,0,3," / \n")
p.test(main.CurrentChar(1,0,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(1,1,"b",core.M_OCCUPIED))
p.test(main.CurrentChar(1,2,"c",core.M_OCCUPIED))
def test_allows_no_character_at_end_due_to_eoi(self):
p = self.pclass()
feed_input(p,0,3," / \n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(1,0,core.END_OF_INPUT,core.M_NONE))
def test_allows_no_character_at_end_due_to_short_line(self):
p = self.pclass()
feed_input(p,0,3, " / \n")
feed_input(p,1,0,"\n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(2,0," ",core.M_NONE))
def test_allows_line_to_end_at_occupied_line(self):
p = self.pclass()
feed_input(p,0,2, " /\n")
feed_input(p,1,0," ")
p.test(main.CurrentChar(1,2,"/",core.M_OCCUPIED))
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(1,3," ",core.M_NONE))
def test_allows_line_at_left_edge(self):
p = self.pclass()
feed_input(p,1,8,"\n")
feed_input(p,2,0,"/ \n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(3,0," ",core.M_NONE))
def test_allows_line_at_right_edge(self):
p = self.pclass()
feed_input(p,1,5, " /\n")
feed_input(p,2,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(2,6," ",core.M_NONE))
def test_allows_line_at_top_left_corner(self):
p = self.pclass()
p.test(main.CurrentChar(-1,0,core.START_OF_INPUT,core.M_NONE))
feed_input(p,0,0,"/ \n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(1,0," ",core.M_NONE))
def test_sets_correct_meta_flags(self):
p = self.pclass()
input = ((4, " / \n"),
(0," " ),)
n = core.M_NONE
s = core.M_OCCUPIED | core.M_LINE_START_SW
a = core.M_LINE_AFTER_SW
meta = (( n,s,n,n,n,),
(n,n,n,n,a, ),)
for j,(linestart,line) in enumerate(input):
for i,char in enumerate(line):
m = p.test(main.CurrentChar(j,linestart+i,char,core.M_NONE))
self.assertEquals(meta[j][i],m)
def do_render(self,x,y):
p = self.pclass()
feed_input(p,y,x-1," / \n")
feed_input(p,y+1,0," "*(x-1))
try:
p.test(main.CurrentChar(y+1,x," ",core.M_NONE))
except StopIteration: pass
return p.render()
def test_render_returns_line(self):
r = self.do_render(4,2)
self.assertEquals(1,len(r))
self.assertTrue(isinstance(r[0],core.Line))
def test_render_coordinates(self):
l = self.do_render(4,2)[0]
self.assertEquals((5,2),l.a)
self.assertEquals((4,3),l.b)
def test_render_z(self):
l = self.do_render(3,3)[0]
self.assertEquals(0,l.z)
def test_render_stroke_colour(self):
l = self.do_render(3,3)[0]
self.assertEquals(core.C_FOREGROUND,l.stroke)
def test_render_stroke_width(self):
l = self.do_render(3,3)[0]
self.assertEquals(1,l.w)
def test_render_stroke_style(self):
l = self.do_render(3,3)[0]
self.assertEquals(core.STROKE_SOLID,l.stype)
class TestLongUpDiagLinePattern(unittest.TestCase,PatternTests):
def __init__(self,*args,**kargs):
unittest.TestCase.__init__(self,*args,**kargs)
self.pclass = patterns.LongUpDiagLinePattern
def test_accepts_line(self):
p = self.pclass()
feed_input(p,0,3, "/\n")
feed_input(p,1,0," / \n")
feed_input(p,2,0," / \n")
feed_input(p,3,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(3,1," ",core.M_NONE))
def test_expects_start_forwardslash(self):
p = self.pclass()
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,2," ",core.M_NONE))
def test_expects_start_forwardslash_unoccupied(self):
p = self.pclass()
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,2,"/",core.M_OCCUPIED))
def test_allows_rest_of_start_line(self):
p = self.pclass()
feed_input(p,0,2,"/")
p.test(main.CurrentChar(0,3,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(0,4,"b",core.M_OCCUPIED))
p.test(main.CurrentChar(0,5,"\n",core.M_OCCUPIED))
def test_allows_start_of_next_line(self):
p = self.pclass()
feed_input(p,0,3,"/\n")
p.test(main.CurrentChar(1,0,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(1,1,"b",core.M_OCCUPIED))
def test_accepts_rest_of_next_line(self):
p = self.pclass()
feed_input(p,0,3, "/\n")
feed_input(p,1,0," /")
p.test(main.CurrentChar(1,3,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(1,4,"\n",core.M_OCCUPIED))
def test_allows_no_character_at_end_due_to_eoi(self):
p = self.pclass()
feed_input(p,0,3, "/ \n")
feed_input(p,1,0," / \n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(2,0,core.END_OF_INPUT,core.M_NONE))
def test_allows_no_character_at_end_due_to_short_line(self):
p = self.pclass()
feed_input(p,0,4, "/ \n")
feed_input(p,1,0," / \n")
feed_input(p,2,0,"\n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(3,0," ",core.M_NONE))
def test_allows_line_to_end_at_occupied_line(self):
p = self.pclass()
feed_input(p,0,3, "/\n")
feed_input(p,1,0," / \n")
feed_input(p,2,0," ")
p.test(main.CurrentChar(2,1,"/",core.M_OCCUPIED))
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(2,2," ",core.M_NONE))
def test_allows_line_to_end_at_left_edge(self):
p = self.pclass()
feed_input(p,0,2, "/\n")
feed_input(p,1,0," / \n")
feed_input(p,2,0,"/ \n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(3,0," ",core.M_NONE))
def test_allows_line_to_end_at_bottom_left_corner(self):
p = self.pclass()
feed_input(p,0,2, "/\n")
feed_input(p,1,0," / \n")
feed_input(p,2,0,"/ \n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(3,0,core.END_OF_INPUT,core.M_NONE))
def test_rejects_length_one_line(self):
p = self.pclass()
feed_input(p,0,2, "/\n")
feed_input(p,1,0," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(1,1," ",core.M_NONE))
def test_rejects_length_one_line_with_early_end(self):
p = self.pclass()
feed_input(p,0,2, "/\n")
feed_input(p,1,0,"\n")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,0," ",core.M_NONE))
def test_sets_correct_meta_flags(self):
p = self.pclass()
input = ((3, "/ \n"),
(0," / \n"),
(0," / \n"),
(0," " ))
s = core.M_OCCUPIED|core.M_LINE_START_SW
o = core.M_OCCUPIED
n = core.M_NONE
a = core.M_LINE_AFTER_SW
meta = (( s,n,n,n,),
(n,n,o,n,n,n,n,),
(n,o,n,n,n,n,n,),
(a, ))
for j,(startcol,line) in enumerate(input):
for i,char in enumerate(line):
m = p.test(main.CurrentChar(j,startcol+i,char,core.M_NONE))
self.assertEquals(meta[j][i],m)
def do_render(self,x,y,l):
p = self.pclass()
for i in range(l):
feed_input(p,y+i,x-i,"/\n")
feed_input(p,y+i+1,0," "*(x-1-i))
feed_input(p,y+l,x-l," ")
try:
p.test(main.CurrentChar(y+l,x-l+1," ",core.M_NONE))
except StopIteration: pass
return p.render()
def test_render_returns_line(self):
r = self.do_render(4,2,2)
self.assertEquals(1,len(r))
self.assertTrue(isinstance(r[0],core.Line))
def test_render_coordinates(self):
l = self.do_render(4,2,2)[0]
self.assertEquals((5,2),l.a)
self.assertEquals((3,4),l.b)
def test_render_coordinates_longer(self):
l = self.do_render(5,1,3)[0]
self.assertEquals((6,1),l.a)
self.assertEquals((3,4),l.b)
def test_render_z(self):
l = self.do_render(3,3,3)[0]
self.assertEquals(0,l.z)
def test_render_stroke_colour(self):
l = self.do_render(3,3,3)[0]
self.assertEquals(core.C_FOREGROUND,l.stroke)
def test_render_stroke_width(self):
l = self.do_render(3,3,3)[0]
self.assertEquals(1,l.w)
def test_render_stroke_style(self):
l = self.do_render(3,3,3)[0]
self.assertEquals(core.STROKE_SOLID,l.stype)
class TestShortDownDiagLinePattern(unittest.TestCase,PatternTests):
def __init__(self,*args,**kargs):
unittest.TestCase.__init__(self,*args,**kargs)
self.pclass = patterns.ShortDownDiagLinePattern
def test_accepts_line(self):
p = self.pclass()
feed_input(p,0,2, " \\ \n")
feed_input(p,1,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(1,5," ",core.M_NONE))
def test_allows_occupied_left_context(self):
p = self.pclass()
p.test(main.CurrentChar(0,2," ",core.M_OCCUPIED))
def test_rejects_alpha_as_left_context(self):
p = self.pclass()
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,2,"b",core.M_NONE))
def test_rejects_numeric_as_left_context(self):
p = self.pclass()
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,2,"9",core.M_NONE))
def test_expects_backslash(self):
p = self.pclass()
feed_input(p,0,2," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,3," ",core.M_NONE))
def test_expects_backslash_unoccupied(self):
p = self.pclass()
feed_input(p,0,2," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,3,"\\",core.M_OCCUPIED))
def test_allows_occupied_right_context(self):
p = self.pclass()
feed_input(p,0,2," \\")
p.test(main.CurrentChar(0,4," ",core.M_OCCUPIED))
def test_rejects_alpha_as_right_context(self):
p = self.pclass()
feed_input(p,0,2," \\")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,4,"d",core.M_NONE))
def test_rejects_numeric_as_right_context(self):
p = self.pclass()
feed_input(p,0,2," \\")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,4,"5",core.M_NONE))
def test_allows_rest_of_first_line(self):
p = self.pclass()
feed_input(p,0,2," \\ ")
p.test(main.CurrentChar(0,5,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(0,6,"b",core.M_OCCUPIED))
p.test(main.CurrentChar(0,7,"\n",core.M_OCCUPIED))
def test_allows_start_of_second_line(self):
p = self.pclass()
feed_input(p,0,3," \\ \n")
p.test(main.CurrentChar(1,0,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(1,1,"b",core.M_OCCUPIED))
p.test(main.CurrentChar(1,2,"c",core.M_OCCUPIED))
def test_allows_no_character_at_end_due_to_eoi(self):
p = self.pclass()
feed_input(p,0,3," \\ \n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(1,0,core.END_OF_INPUT,core.M_NONE))
def test_allows_no_character_at_end_due_to_short_line(self):
p = self.pclass()
feed_input(p,0,3, " \\ \n")
feed_input(p,1,0,"\n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(2,0," ",core.M_NONE))
def test_allows_line_to_end_at_occupied_line(self):
p = self.pclass()
feed_input(p,0,2, " \\ \n")
feed_input(p,1,0," ")
p.test(main.CurrentChar(1,4,"\\",core.M_OCCUPIED))
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(1,5," ",core.M_NONE))
def test_allows_line_at_left_edge(self):
p = self.pclass()
feed_input(p,1,8,"\n")
feed_input(p,2,0,"\\ \n")
feed_input(p,3,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(3,2," ",core.M_NONE))
def test_allows_line_at_right_edge(self):
p = self.pclass()
feed_input(p,1,5, " \\\n")
feed_input(p,2,0," \n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(3,0," ",core.M_NONE))
def test_allows_line_at_top_left_corner(self):
p = self.pclass()
p.test(main.CurrentChar(-1,0,core.START_OF_INPUT,core.M_NONE))
feed_input(p,0,0,"\\ \n")
feed_input(p,1,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(1,2," ",core.M_NONE))
def test_allows_bottom_right_corner(self):
p = self.pclass()
feed_input(p,2,2," \\ \n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(3,0,core.END_OF_INPUT,core.M_NONE))
def test_sets_correct_meta_flags(self):
p = self.pclass()
input = ((4, " \\ \n"),
(0," " ),)
n = core.M_NONE
s = core.M_OCCUPIED | core.M_LINE_START_SE
a = core.M_LINE_AFTER_SE
meta = (( n,s,n,n,n,),
(n,n,n,n,n,n,a, ),)
for j,(linestart,line) in enumerate(input):
for i,char in enumerate(line):
m = p.test(main.CurrentChar(j,linestart+i,char,core.M_NONE))
self.assertEquals(meta[j][i],m)
def do_render(self,x,y):
p = self.pclass()
feed_input(p,y,x-1," \\ \n")
feed_input(p,y+1,0," "*(x+2))
try:
p.test(main.CurrentChar(y+1,x+2," ",core.M_NONE))
except StopIteration: pass
return p.render()
def test_render_returns_line(self):
r = self.do_render(4,2)
self.assertEquals(1,len(r))
self.assertTrue(isinstance(r[0],core.Line))
def test_render_coordinates(self):
l = self.do_render(4,2)[0]
self.assertEquals((4,2),l.a)
self.assertEquals((5,3),l.b)
def test_render_z(self):
l = self.do_render(3,3)[0]
self.assertEquals(0,l.z)
def test_render_stroke_colour(self):
l = self.do_render(3,3)[0]
self.assertEquals(core.C_FOREGROUND,l.stroke)
def test_render_stroke_width(self):
l = self.do_render(3,3)[0]
self.assertEquals(1,l.w)
def test_render_stroke_style(self):
l = self.do_render(3,3)[0]
self.assertEquals(core.STROKE_SOLID,l.stype)
class TestLongDownDiagLinePattern(unittest.TestCase,PatternTests):
def __init__(self,*args,**kargs):
unittest.TestCase.__init__(self,*args,**kargs)
self.pclass = patterns.LongDownDiagLinePattern
def test_accepts_line(self):
p = self.pclass()
feed_input(p,0,2, "\\ \n")
feed_input(p,1,0," \\ \n")
feed_input(p,2,0," \\ \n")
feed_input(p,3,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(3,6," ",core.M_NONE))
def test_expects_start_backslash(self):
p = self.pclass()
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,3," ",core.M_NONE))
def test_expects_start_backslash_unoccupied(self):
p = self.pclass()
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,3,"\\",core.M_OCCUPIED))
def test_allows_rest_of_start_line(self):
p = self.pclass()
feed_input(p,0,3,"\\")
p.test(main.CurrentChar(0,4,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(0,5,"b",core.M_OCCUPIED))
p.test(main.CurrentChar(0,6,"\n",core.M_OCCUPIED))
def test_allows_start_of_next_line(self):
p = self.pclass()
feed_input(p,0,2,"\\\n")
p.test(main.CurrentChar(1,0,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(1,1,"b",core.M_OCCUPIED))
p.test(main.CurrentChar(1,2,"c",core.M_OCCUPIED))
def test_rejects_length_one_line(self):
p = self.pclass()
feed_input(p,0,3, "\\\n")
feed_input(p,1,0," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(1,4," ",core.M_NONE))
def test_rejects_length_one_line_with_early_end(self):
p = self.pclass()
feed_input(p,0,3, "\\\n")
feed_input(p,1,0,"\n")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,0," ",core.M_NONE))
def test_accepts_rest_of_next_line(self):
p = self.pclass()
feed_input(p,0,3, "\\\n")
feed_input(p,1,0," \\")
p.test(main.CurrentChar(1,5,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(1,6,"\n",core.M_OCCUPIED))
def test_allows_no_character_at_end_due_to_eoi(self):
p = self.pclass()
feed_input(p,0,3, "\\ \n")
feed_input(p,1,0," \\ \n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(2,0,core.END_OF_INPUT,core.M_NONE))
def test_allows_no_character_at_end_due_to_short_line(self):
p = self.pclass()
feed_input(p,0,3, "\\ \n")
feed_input(p,1,0," \\ \n")
feed_input(p,2,0," \n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(3,0," ",core.M_NONE))
def test_allows_line_to_end_at_occupied_line(self):
p = self.pclass()
feed_input(p,0,3, "\\ \n")
feed_input(p,1,0," \\ \n")
feed_input(p,2,0," ")
p.test(main.CurrentChar(2,5,"\\",core.M_OCCUPIED))
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(2,6," ",core.M_NONE))
def test_allows_line_to_end_at_right_edge(self):
p = self.pclass()
feed_input(p,0,3, "\\ \n")
feed_input(p,1,0," \\ \n")
feed_input(p,2,0," \\\n")
feed_input(p,3,0," \n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(4,0," ",core.M_NONE))
def test_allows_line_to_end_at_bottom_right_corner(self):
p = self.pclass()
feed_input(p,0,3, "\\ \n")
feed_input(p,1,0," \\ \n")
feed_input(p,2,0," \\\n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(3,0,core.END_OF_INPUT,core.M_NONE))
def test_allows_line_to_start_at_left_edge(self):
p = self.pclass()
feed_input(p,1,0,"\\ \n")
feed_input(p,2,0," \\ \n")
feed_input(p,3,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(3,3," ",core.M_NONE))
def test_allows_line_to_start_at_top_left_corner(self):
p = self.pclass()
feed_input(p,0,0,"\\ \n")
feed_input(p,1,0," \\ \n")
feed_input(p,2,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(2,3," ",core.M_NONE))
def test_sets_correct_meta_flags(self):
p = self.pclass()
input = ((3, "\\ \n"),
(0," \\ \n"),
(0," \\ \n"),
(0," " ))
s = core.M_OCCUPIED|core.M_LINE_START_SE
o = core.M_OCCUPIED
n = core.M_NONE
a = core.M_LINE_AFTER_SE
meta = (( s,n,n,n,n,),
(n,n,n,n,o,n,n,n,),
(n,n,n,n,n,o,n,n,),
(n,n,n,n,n,n,a, ))
for j,(startcol,line) in enumerate(input):
for i,char in enumerate(line):
m = p.test(main.CurrentChar(j,startcol+i,char,core.M_NONE))
self.assertEquals(meta[j][i],m)
def do_render(self,x,y,l):
p = self.pclass()
for i in range(l):
feed_input(p,y+i,x+i,"\\\n")
feed_input(p,y+i+1,0," "*(x-1+i))
feed_input(p,y+l,x+l," ")
try:
p.test(main.CurrentChar(y+l,x+l+1," ",core.M_NONE))
except StopIteration: pass
return p.render()
def test_render_returns_line(self):
r = self.do_render(4,2,2)
self.assertEquals(1,len(r))
self.assertTrue(isinstance(r[0],core.Line))
def test_render_coordinates(self):
l = self.do_render(4,2,2)[0]
self.assertEquals((4,2),l.a)
self.assertEquals((6,4),l.b)
def test_render_coordinates_longer(self):
l = self.do_render(5,1,3)[0]
self.assertEquals((5,1),l.a)
self.assertEquals((8,4),l.b)
def test_render_z(self):
l = self.do_render(3,3,3)[0]
self.assertEquals(0,l.z)
def test_render_stroke_colour(self):
l = self.do_render(3,3,3)[0]
self.assertEquals(core.C_FOREGROUND,l.stroke)
def test_render_stroke_width(self):
l = self.do_render(3,3,3)[0]
self.assertEquals(1,l.w)
def test_render_stroke_style(self):
l = self.do_render(3,3,3)[0]
self.assertEquals(core.STROKE_SOLID,l.stype)
class TestShortVertLinePattern(unittest.TestCase,PatternTests):
def __init__(self,*args,**kargs):
unittest.TestCase.__init__(self,*args,**kargs)
self.pclass = patterns.ShortVertLinePattern
def test_accepts_line(self):
p = self.pclass()
feed_input(p,0,2, " | \n")
feed_input(p,1,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(1,4," ",core.M_NONE))
def test_allows_occupied_left_context(self):
p = self.pclass()
p.test(main.CurrentChar(0,2," ",core.M_OCCUPIED))
def test_rejects_alpha_as_left_context(self):
p = self.pclass()
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,2,"b",core.M_NONE))
def test_rejects_numeric_as_left_context(self):
p = self.pclass()
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,2,"9",core.M_NONE))
def test_expects_pipe(self):
p = self.pclass()
feed_input(p,0,2," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,3," ",core.M_NONE))
def test_expects_pipe_unoccupied(self):
p = self.pclass()
feed_input(p,0,2," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,3,"|",core.M_OCCUPIED))
def test_allows_occupied_right_context(self):
p = self.pclass()
feed_input(p,0,2," |")
p.test(main.CurrentChar(0,4," ",core.M_OCCUPIED))
def test_rejects_alpha_as_right_context(self):
p = self.pclass()
feed_input(p,0,2," |")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,4,"d",core.M_NONE))
def test_rejects_numeric_as_right_context(self):
p = self.pclass()
feed_input(p,0,2," |")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,4,"5",core.M_NONE))
def test_allows_rest_of_first_line(self):
p = self.pclass()
feed_input(p,0,2," | ")
p.test(main.CurrentChar(0,5,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(0,6,"b",core.M_OCCUPIED))
p.test(main.CurrentChar(0,7,"\n",core.M_OCCUPIED))
def test_allows_start_of_second_line(self):
p = self.pclass()
feed_input(p,0,3," | \n")
p.test(main.CurrentChar(1,0,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(1,1,"b",core.M_OCCUPIED))
p.test(main.CurrentChar(1,2,"c",core.M_OCCUPIED))
p.test(main.CurrentChar(1,3,"d",core.M_OCCUPIED))
def test_allows_no_character_at_end_due_to_eoi(self):
p = self.pclass()
feed_input(p,0,3," | \n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(1,0,core.END_OF_INPUT,core.M_NONE))
def test_allows_no_character_at_end_due_to_short_line(self):
p = self.pclass()
feed_input(p,0,3, " | \n")
feed_input(p,1,0,"\n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(2,0," ",core.M_NONE))
def test_allows_line_to_end_at_occupied_line(self):
p = self.pclass()
feed_input(p,0,2, " | \n")
feed_input(p,1,0," ")
p.test(main.CurrentChar(1,3,"|",core.M_OCCUPIED))
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(1,4," ",core.M_NONE))
def test_allows_line_at_left_edge(self):
p = self.pclass()
feed_input(p,1,8,"\n")
feed_input(p,2,0,"| \n")
feed_input(p,3,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(3,1," ",core.M_NONE))
def test_allows_line_at_right_edge(self):
p = self.pclass()
feed_input(p,1,5, " |\n")
feed_input(p,2,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(2,7,"\n",core.M_NONE))
def test_allows_line_at_top_left_corner(self):
p = self.pclass()
p.test(main.CurrentChar(-1,0,core.START_OF_INPUT,core.M_NONE))
feed_input(p,0,0,"| \n")
feed_input(p,1,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(1,1," ",core.M_NONE))
def test_allows_line_at_bottom_right_corner(self):
p = self.pclass()
feed_input(p,2,4, " |\n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(3,0,core.END_OF_INPUT,core.M_NONE))
def test_sets_correct_meta_flags(self):
p = self.pclass()
input = ((4, " | \n"),
(0," " ),)
n = core.M_NONE
s = core.M_OCCUPIED | core.M_LINE_START_S
a = core.M_LINE_AFTER_S
meta = (( n,s,n,n,n,),
(n,n,n,n,n,a, ),)
for j,(linestart,line) in enumerate(input):
for i,char in enumerate(line):
m = p.test(main.CurrentChar(j,linestart+i,char,core.M_NONE))
self.assertEquals(meta[j][i],m)
def do_render(self,x,y,smeta=core.M_NONE,emeta=core.M_NONE):
p = self.pclass()
feed_input(p,y,x-1," ")
p.test(main.CurrentChar(y,x,"|",smeta))
feed_input(p,y,x+1,"| \n")
feed_input(p,y+1,0," "*x)
p.test(main.CurrentChar(y+1,x," ",emeta))
try:
p.test(main.CurrentChar(y+1,x+1," ",core.M_NONE))
except StopIteration: pass
return p.render()
def test_render_returns_line(self):
r = self.do_render(4,2)
self.assertEquals(1,len(r))
self.assertTrue(isinstance(r[0],core.Line))
def test_render_coordinates(self):
l = self.do_render(4,2)[0]
self.assertEquals((4.5,2),l.a)
self.assertEquals((4.5,3),l.b)
def test_render_coordinates_start_box(self):
l = self.do_render(4,2,smeta=core.M_BOX_AFTER_S)[0]
self.assertEquals((4.5,1.5),l.a)
self.assertEquals((4.5,3),l.b)
def test_render_coordinates_end_box(self):
l = self.do_render(4,2,emeta=core.M_BOX_START_S)[0]
self.assertEquals((4.5,2),l.a)
self.assertEquals((4.5,3.5),l.b)
def test_render_coordinates_start_and_end_box(self):
l = self.do_render(4,2,smeta=core.M_BOX_AFTER_S,emeta=core.M_BOX_START_S)[0]
self.assertEquals((4.5,1.5),l.a)
self.assertEquals((4.5,3.5),l.b)
def test_render_z(self):
l = self.do_render(3,3)[0]
self.assertEquals(0,l.z)
def test_render_stroke_colour(self):
l = self.do_render(3,3)[0]
self.assertEquals(core.C_FOREGROUND,l.stroke)
def test_render_stroke_width(self):
l = self.do_render(3,3)[0]
self.assertEquals(1,l.w)
def test_render_stroke_style(self):
l = self.do_render(3,3)[0]
self.assertEquals(core.STROKE_SOLID,l.stype)
class TestLongVertLinePattern(unittest.TestCase,PatternTests):
def __init__(self,*args,**kargs):
unittest.TestCase.__init__(self,*args,**kargs)
self.pclass = patterns.LongVertLinePattern
def test_accepts_line(self):
p = self.pclass()
feed_input(p,0,3, "| \n")
feed_input(p,1,0," | \n")
feed_input(p,2,0," | \n")
feed_input(p,3,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(3,4," ",core.M_NONE))
def test_expects_start_pipe(self):
p = self.pclass()
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,3," ",core.M_NONE))
def test_expects_start_pipe_unoccupied(self):
p = self.pclass()
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,3,"|",core.M_OCCUPIED))
def test_allows_rest_of_start_line(self):
p = self.pclass()
feed_input(p,0,3,"|")
p.test(main.CurrentChar(0,4,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(0,5,"b",core.M_OCCUPIED))
p.test(main.CurrentChar(0,6,"\n",core.M_OCCUPIED))
def test_allows_start_of_next_line(self):
p = self.pclass()
feed_input(p,0,3,"|\n")
p.test(main.CurrentChar(1,0,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(1,1,"b",core.M_OCCUPIED))
p.test(main.CurrentChar(1,2,"c",core.M_OCCUPIED))
def test_rejects_length_one_line(self):
p = self.pclass()
feed_input(p,0,2, "|\n")
feed_input(p,1,0," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(1,2," ",core.M_NONE))
def test_rejects_length_one_line_with_early_end(self):
p = self.pclass()
feed_input(p,0,2, "|\n")
feed_input(p,1,0,"\n")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,0," ",core.M_NONE))
def test_accepts_rest_of_next_line(self):
p = self.pclass()
feed_input(p,0,2, "|\n")
feed_input(p,1,0," |")
p.test(main.CurrentChar(1,3,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(1,4,"\n",core.M_OCCUPIED))
def test_allows_no_character_at_end_due_to_eoi(self):
p = self.pclass()
feed_input(p,0,2, "| \n")
feed_input(p,1,0," | \n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(2,0,core.END_OF_INPUT,core.M_NONE))
def test_allows_no_character_at_end_due_to_short_line(self):
p = self.pclass()
feed_input(p,0,3, "| \n")
feed_input(p,1,0," | \n")
feed_input(p,2,0,"\n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(3,0," ",core.M_NONE))
def test_allows_line_to_end_at_occupied_line(self):
p = self.pclass()
feed_input(p,0,2, "| \n")
feed_input(p,1,0," | \n")
feed_input(p,2,0," ")
p.test(main.CurrentChar(2,2,"|",core.M_OCCUPIED))
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(2,3," ",core.M_NONE))
def test_allows_line_to_end_at_bottom_left(self):
p = self.pclass()
feed_input(p,3,0,"| \n")
feed_input(p,4,0,"| \n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(2,0,core.END_OF_INPUT,core.M_NONE))
def test_allows_line_to_end_at_bottom_right(self):
p = self.pclass()
feed_input(p,0,3, "|\n")
feed_input(p,1,0," |\n")
feed_input(p,2,0," |\n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(3,0,core.END_OF_INPUT,core.M_NONE))
def test_allows_line_to_start_at_left_edge(self):
p = self.pclass()
feed_input(p,2,0,"|\n")
feed_input(p,3,0,"|\n")
feed_input(p,4,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(4,1," ",core.M_NONE))
def test_allows_line_to_start_at_top_left_corner(self):
p = self.pclass()
feed_input(p,0,0,"|\n")
feed_input(p,1,0,"|\n")
feed_input(p,2,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(2,1," ",core.M_NONE))
def test_allows_line_to_start_at_bottom_left_corner(self):
p = self.pclass()
feed_input(p,4,0,"|\n")
feed_input(p,5,0,"|\n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(6,0,core.END_OF_INPUT,core.M_NONE))
def test_sets_correct_meta_flags(self):
p = self.pclass()
input = ((3, "| \n"),
(0," | \n"),
(0," | \n"),
(0," " ))
s = core.M_OCCUPIED|core.M_LINE_START_S
o = core.M_OCCUPIED
n = core.M_NONE
a = core.M_LINE_AFTER_S
meta = (( s,n,n,n,),
(n,n,n,o,n,n,n,),
(n,n,n,o,n,n,n,),
(n,n,n,a, ))
for j,(startcol,line) in enumerate(input):
for i,char in enumerate(line):
m = p.test(main.CurrentChar(j,startcol+i,char,core.M_NONE))
self.assertEquals(meta[j][i],m)
def do_render(self,x,y,l,smeta=core.M_NONE,emeta=core.M_NONE):
p = self.pclass()
for i in range(l):
p.test(main.CurrentChar(y+i,x,"|",smeta if i==0 else core.M_NONE))
p.test(main.CurrentChar(y+i,x+1,"\n",core.M_NONE))
feed_input(p,y+i+1,0," "*x)
p.test(main.CurrentChar(y+l,x," ",emeta))
try:
p.test(main.CurrentChar(y+l,x+1," ",core.M_NONE))
except StopIteration: pass
return p.render()
def test_render_returns_line(self):
r = self.do_render(4,2,2)
self.assertEquals(1,len(r))
self.assertTrue(isinstance(r[0],core.Line))
def test_render_coordinates(self):
l = self.do_render(4,2,2)[0]
self.assertEquals((4.5,2),l.a)
self.assertEquals((4.5,4),l.b)
def test_render_coordinates_longer(self):
l = self.do_render(5,1,3)[0]
self.assertEquals((5.5,1),l.a)
self.assertEquals((5.5,4),l.b)
def test_render_coordinates_start_box(self):
l = self.do_render(4,2,2,smeta=core.M_BOX_AFTER_S)[0]
self.assertEquals((4.5,1.5),l.a)
self.assertEquals((4.5,4),l.b)
def test_render_coordinates_end_box(self):
l = self.do_render(4,2,2,emeta=core.M_BOX_START_S)[0]
self.assertEquals((4.5,2),l.a)
self.assertEquals((4.5,4.5),l.b)
def test_render_coordinates_start_and_end_box(self):
l = self.do_render(4,2,2,smeta=core.M_BOX_AFTER_S,emeta=core.M_BOX_START_S)[0]
self.assertEquals((4.5,1.5),l.a)
self.assertEquals((4.5,4.5),l.b)
def test_render_z(self):
l = self.do_render(3,3,3)[0]
self.assertEquals(0,l.z)
def test_render_stroke_colour(self):
l = self.do_render(3,3,3)[0]
self.assertEquals(core.C_FOREGROUND,l.stroke)
def test_render_stroke_width(self):
l = self.do_render(3,3,3)[0]
self.assertEquals(1,l.w)
def test_render_stroke_style(self):
l = self.do_render(3,3,3)[0]
self.assertEquals(core.STROKE_SOLID,l.stype)
class TestShortHorizLinePattern(unittest.TestCase,PatternTests):
def __init__(self,*args,**kargs):
unittest.TestCase.__init__(self,*args,**kargs)
self.pclass = patterns.ShortHorizLinePattern
def test_accepts_line(self):
p = self.pclass()
feed_input(p,0,2, " - ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(0,5," ",core.M_NONE))
def test_allows_occupied_left_context(self):
p = self.pclass()
p.test(main.CurrentChar(0,2," ",core.M_OCCUPIED))
def test_rejects_alpha_as_left_context(self):
p = self.pclass()
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,2,"b",core.M_NONE))
def test_rejects_numeric_as_left_context(self):
p = self.pclass()
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,2,"9",core.M_NONE))
def test_expects_hyphen(self):
p = self.pclass()
feed_input(p,0,2," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,3," ",core.M_NONE))
def test_expects_hyphen_unoccupied(self):
p = self.pclass()
feed_input(p,0,2," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,3,"-",core.M_OCCUPIED))
def test_allows_occupied_right_context(self):
p = self.pclass()
feed_input(p,0,2," -")
p.test(main.CurrentChar(0,4," ",core.M_OCCUPIED))
def test_rejects_alpha_as_right_context(self):
p = self.pclass()
feed_input(p,0,2," -")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,4,"d",core.M_NONE))
def test_rejects_numeric_as_right_context(self):
p = self.pclass()
feed_input(p,0,2," -")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,4,"5",core.M_NONE))
def test_allows_line_to_end_at_occupied_line(self):
p = self.pclass()
feed_input(p,0,2, " -")
p.test(main.CurrentChar(0,4,"-",core.M_OCCUPIED))
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(0,5," ",core.M_NONE))
def test_allows_line_at_left_edge(self):
p = self.pclass()
feed_input(p,1,8,"\n")
feed_input(p,2,0,"- ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(2,2," ",core.M_NONE))
def test_allows_line_at_right_edge(self):
p = self.pclass()
feed_input(p,1,5, " -\n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(2,0," ",core.M_NONE))
def test_allows_line_at_top_left_corner(self):
p = self.pclass()
p.test(main.CurrentChar(-1,0,core.START_OF_INPUT,core.M_NONE))
feed_input(p,0,0,"- ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(0,2," ",core.M_NONE))
def test_allows_line_at_bottom_right_corner(self):
p = self.pclass()
feed_input(p,2,2, " -\n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(3,0,core.END_OF_INPUT,core.M_NONE))
def test_sets_correct_meta_flags(self):
p = self.pclass()
input = ((4, " - "),)
n = core.M_NONE
s = core.M_OCCUPIED | core.M_LINE_START_E
a = core.M_LINE_AFTER_E
meta = (( n,s,a,),)
for j,(linestart,line) in enumerate(input):
for i,char in enumerate(line):
m = p.test(main.CurrentChar(j,linestart+i,char,core.M_NONE))
self.assertEquals(meta[j][i],m)
def do_render(self,x,y,smeta=core.M_NONE,emeta=core.M_NONE):
p = self.pclass()
p.test(main.CurrentChar(y,x-1," ",core.M_NONE))
p.test(main.CurrentChar(y,x,"-",smeta))
p.test(main.CurrentChar(y,x+1," ",emeta))
try:
p.test(main.CurrentChar(y,x+2," ",core.M_NONE))
except StopIteration: pass
return p.render()
def test_render_returns_line(self):
r = self.do_render(4,2)
self.assertEquals(1,len(r))
self.assertTrue(isinstance(r[0],core.Line))
def test_render_coordinates(self):
l = self.do_render(4,2)[0]
self.assertEquals((4,2.5),l.a)
self.assertEquals((5,2.5),l.b)
def test_render_coordinates_start_box(self):
l = self.do_render(4,2,smeta=core.M_BOX_AFTER_E)[0]
self.assertEquals((3.5,2.5),l.a)
self.assertEquals((5,2.5),l.b)
def test_render_coordinates_end_box(self):
l = self.do_render(4,2,emeta=core.M_BOX_START_E)[0]
self.assertEquals((4,2.5),l.a)
self.assertEquals((5.5,2.5),l.b)
def test_render_coordinates_start_and_end_box(self):
l = self.do_render(4,2,smeta=core.M_BOX_AFTER_E,emeta=core.M_BOX_START_E)[0]
self.assertEquals((3.5,2.5),l.a)
self.assertEquals((5.5,2.5),l.b)
def test_render_z(self):
l = self.do_render(3,3)[0]
self.assertEquals(0,l.z)
def test_render_stroke_colour(self):
l = self.do_render(3,3)[0]
self.assertEquals(core.C_FOREGROUND,l.stroke)
def test_render_stroke_width(self):
l = self.do_render(3,3)[0]
self.assertEquals(1,l.w)
def test_render_stroke_style(self):
l = self.do_render(3,3)[0]
self.assertEquals(core.STROKE_SOLID,l.stype)
class TestLongHorizLinePattern(unittest.TestCase,PatternTests):
def __init__(self,*args,**kargs):
unittest.TestCase.__init__(self,*args,**kargs)
self.pclass = patterns.LongHorizLinePattern
def test_accepts_line(self):
p = self.pclass()
feed_input(p,0,3, "--- ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(0,7," ",core.M_NONE))
def test_expects_start_hyphen(self):
p = self.pclass()
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,3," ",core.M_NONE))
def test_expects_start_hyphen_unoccupied(self):
p = self.pclass()
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,3,"-",core.M_OCCUPIED))
def test_rejects_length_one_line(self):
p = self.pclass()
feed_input(p,0,2, "-")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,3," ",core.M_NONE))
def test_allows_line_to_end_at_occupied_line(self):
p = self.pclass()
feed_input(p,0,2, "---")
p.test(main.CurrentChar(0,5,"-",core.M_OCCUPIED))
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(0,6," ",core.M_NONE))
def test_allows_line_to_end_at_bottom_right(self):
p = self.pclass()
feed_input(p,2,3,"---\n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(3,0,core.END_OF_INPUT,core.M_NONE))
def test_allows_line_to_start_at_left_edge(self):
p = self.pclass()
feed_input(p,1,0,"-- ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(1,3," ",core.M_NONE))
def test_allows_line_to_start_at_top_left_corner(self):
p = self.pclass()
feed_input(p,0,0,"-- ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(0,3," ",core.M_NONE))
def test_allows_line_to_start_at_bottom_left_corner(self):
p = self.pclass()
feed_input(p,4,0,"-- ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(4,3,"\n",core.M_NONE))
def test_sets_correct_meta_flags(self):
p = self.pclass()
input = ((3, "--- "),)
s = core.M_OCCUPIED|core.M_LINE_START_E
o = core.M_OCCUPIED
a = core.M_LINE_AFTER_E
meta = ((s,o,o,a,),)
for j,(startcol,line) in enumerate(input):
for i,char in enumerate(line):
m = p.test(main.CurrentChar(j,startcol+i,char,core.M_NONE))
self.assertEquals(meta[j][i],m)
def do_render(self,x,y,l,smeta=core.M_NONE,emeta=core.M_NONE):
p = self.pclass()
p.test(main.CurrentChar(y,x,"-",smeta))
feed_input(p,y,x+1,"-"*(l-1))
p.test(main.CurrentChar(y,x+l," ",emeta))
try:
p.test(main.CurrentChar(y,x+l+1," ",core.M_NONE))
except StopIteration: pass
return p.render()
def test_render_returns_line(self):
r = self.do_render(4,2,2)
self.assertEquals(1,len(r))
self.assertTrue(isinstance(r[0],core.Line))
def test_render_coordinates(self):
l = self.do_render(4,2,2)[0]
self.assertEquals((4,2.5),l.a)
self.assertEquals((6,2.5),l.b)
def test_render_coordinates_longer(self):
l = self.do_render(5,1,3)[0]
self.assertEquals((5,1.5),l.a)
self.assertEquals((8,1.5),l.b)
def test_render_coordinates_start_box(self):
l = self.do_render(4,2,2,smeta=core.M_BOX_AFTER_E)[0]
self.assertEquals((3.5,2.5),l.a)
self.assertEquals((6,2.5),l.b)
def test_render_coordinates_end_box(self):
l = self.do_render(4,2,2,emeta=core.M_BOX_START_E)[0]
self.assertEquals((4,2.5),l.a)
self.assertEquals((6.5,2.5),l.b)
def test_render_coordinates_start_and_end_box(self):
l = self.do_render(4,2,2,smeta=core.M_BOX_AFTER_E,emeta=core.M_BOX_START_E)[0]
self.assertEquals((3.5,2.5),l.a)
self.assertEquals((6.5,2.5),l.b)
def test_render_z(self):
l = self.do_render(3,3,3)[0]
self.assertEquals(0,l.z)
def test_render_stroke_colour(self):
l = self.do_render(3,3,3)[0]
self.assertEquals(core.C_FOREGROUND,l.stroke)
def test_render_stroke_width(self):
l = self.do_render(3,3,3)[0]
self.assertEquals(1,l.w)
def test_render_stroke_style(self):
l = self.do_render(3,3,3)[0]
self.assertEquals(core.STROKE_SOLID,l.stype)
class TestShortUpDiagDashedLinePattern(unittest.TestCase,PatternTests):
def __init__(self,*args,**kargs):
unittest.TestCase.__init__(self,*args,**kargs)
self.pclass = patterns.ShortUpDiagDashedLinePattern
def test_accepts_line(self):
p = self.pclass()
feed_input(p,0,2, " , \n")
feed_input(p,1,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(1,3," ",core.M_NONE))
def test_allows_occupied_left_context(self):
p = self.pclass()
p.test(main.CurrentChar(0,2," ",core.M_OCCUPIED))
def test_rejects_alpha_as_left_context(self):
p = self.pclass()
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,2,"b",core.M_NONE))
def test_rejects_numeric_as_left_context(self):
p = self.pclass()
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,2,"9",core.M_NONE))
def test_expects_comma(self):
p = self.pclass()
feed_input(p,0,2," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,3," ",core.M_NONE))
def test_expects_comma_unoccupied(self):
p = self.pclass()
feed_input(p,0,2," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,3,",",core.M_OCCUPIED))
def test_allows_occupied_right_context(self):
p = self.pclass()
feed_input(p,0,2," ,")
p.test(main.CurrentChar(0,4," ",core.M_OCCUPIED))
def test_rejects_alpha_as_right_context(self):
p = self.pclass()
feed_input(p,0,2," ,")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,4,"d",core.M_NONE))
def test_rejects_numeric_as_right_context(self):
p = self.pclass()
feed_input(p,0,2," ,")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,4,"5",core.M_NONE))
def test_allows_rest_of_first_line(self):
p = self.pclass()
feed_input(p,0,2," , ")
p.test(main.CurrentChar(0,5,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(0,6,"b",core.M_OCCUPIED))
p.test(main.CurrentChar(0,7,"\n",core.M_OCCUPIED))
def test_allows_start_of_second_line(self):
p = self.pclass()
feed_input(p,0,3," , \n")
p.test(main.CurrentChar(1,0,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(1,1,"b",core.M_OCCUPIED))
p.test(main.CurrentChar(1,2,"c",core.M_OCCUPIED))
def test_allows_no_character_at_end_due_to_eoi(self):
p = self.pclass()
feed_input(p,0,3," , \n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(1,0,core.END_OF_INPUT,core.M_NONE))
def test_allows_no_character_at_end_due_to_short_line(self):
p = self.pclass()
feed_input(p,0,3, " , \n")
feed_input(p,1,0,"\n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(2,0," ",core.M_NONE))
def test_allows_line_to_end_at_occupied_line(self):
p = self.pclass()
feed_input(p,0,2, " ,\n")
feed_input(p,1,0," ")
p.test(main.CurrentChar(1,2,",",core.M_OCCUPIED))
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(1,3," ",core.M_NONE))
def test_allows_line_at_left_edge(self):
p = self.pclass()
feed_input(p,1,8,"\n")
feed_input(p,2,0,", \n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(3,0," ",core.M_NONE))
def test_allows_line_at_right_edge(self):
p = self.pclass()
feed_input(p,1,5, " ,\n")
feed_input(p,2,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(2,6," ",core.M_NONE))
def test_allows_line_at_top_left_corner(self):
p = self.pclass()
p.test(main.CurrentChar(-1,0,core.START_OF_INPUT,core.M_NONE))
feed_input(p,0,0,", \n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(1,0," ",core.M_NONE))
def test_sets_correct_meta_flags(self):
p = self.pclass()
input = ((4, " , \n"),
(0," " ),)
n = core.M_NONE
s = core.M_OCCUPIED | core.M_LINE_START_SW | core.M_DASH_START_SW
a = core.M_LINE_AFTER_SW | core.M_DASH_AFTER_SW
meta = (( n,s,n,n,n,),
(n,n,n,n,a, ),)
for j,(linestart,line) in enumerate(input):
for i,char in enumerate(line):
m = p.test(main.CurrentChar(j,linestart+i,char,core.M_NONE))
self.assertEquals(meta[j][i],m)
def do_render(self,x,y):
p = self.pclass()
feed_input(p,y,x-1," , \n")
feed_input(p,y+1,0," "*(x-1))
try:
p.test(main.CurrentChar(y+1,x," ",core.M_NONE))
except StopIteration: pass
return p.render()
def test_render_returns_line(self):
r = self.do_render(4,2)
self.assertEquals(1,len(r))
self.assertTrue(isinstance(r[0],core.Line))
def test_render_coordinates(self):
l = self.do_render(4,2)[0]
self.assertEquals((5,2),l.a)
self.assertEquals((4,3),l.b)
def test_render_z(self):
l = self.do_render(3,3)[0]
self.assertEquals(0,l.z)
def test_render_stroke_colour(self):
l = self.do_render(3,3)[0]
self.assertEquals(core.C_FOREGROUND,l.stroke)
def test_render_stroke_width(self):
l = self.do_render(3,3)[0]
self.assertEquals(1,l.w)
def test_render_stroke_style(self):
l = self.do_render(3,3)[0]
self.assertEquals(core.STROKE_DASHED,l.stype)
class TestLongUpDiagDashedLinePattern(unittest.TestCase,PatternTests):
def __init__(self,*args,**kargs):
unittest.TestCase.__init__(self,*args,**kargs)
self.pclass = patterns.LongUpDiagDashedLinePattern
def test_accepts_line(self):
p = self.pclass()
feed_input(p,0,3, ",\n")
feed_input(p,1,0," , \n")
feed_input(p,2,0," , \n")
feed_input(p,3,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(3,1," ",core.M_NONE))
def test_expects_start_comma(self):
p = self.pclass()
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,2," ",core.M_NONE))
def test_expects_start_comma_unoccupied(self):
p = self.pclass()
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,2,",",core.M_OCCUPIED))
def test_allows_rest_of_start_line(self):
p = self.pclass()
feed_input(p,0,2,",")
p.test(main.CurrentChar(0,3,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(0,4,"b",core.M_OCCUPIED))
p.test(main.CurrentChar(0,5,"\n",core.M_OCCUPIED))
def test_allows_start_of_next_line(self):
p = self.pclass()
feed_input(p,0,3,",\n")
p.test(main.CurrentChar(1,0,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(1,1,"b",core.M_OCCUPIED))
def test_accepts_rest_of_next_line(self):
p = self.pclass()
feed_input(p,0,3, ",\n")
feed_input(p,1,0," ,")
p.test(main.CurrentChar(1,3,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(1,4,"\n",core.M_OCCUPIED))
def test_allows_no_character_at_end_due_to_eoi(self):
p = self.pclass()
feed_input(p,0,3, ", \n")
feed_input(p,1,0," , \n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(2,0,core.END_OF_INPUT,core.M_NONE))
def test_allows_no_character_at_end_due_to_short_line(self):
p = self.pclass()
feed_input(p,0,4, ", \n")
feed_input(p,1,0," , \n")
feed_input(p,2,0,"\n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(3,0," ",core.M_NONE))
def test_allows_line_to_end_at_occupied_line(self):
p = self.pclass()
feed_input(p,0,3, ",\n")
feed_input(p,1,0," , \n")
feed_input(p,2,0," ")
p.test(main.CurrentChar(2,1,",",core.M_OCCUPIED))
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(2,2," ",core.M_NONE))
def test_allows_line_to_end_at_left_edge(self):
p = self.pclass()
feed_input(p,0,2, ",\n")
feed_input(p,1,0," , \n")
feed_input(p,2,0,", \n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(3,0," ",core.M_NONE))
def test_allows_line_to_end_at_bottom_left_corner(self):
p = self.pclass()
feed_input(p,0,2, ",\n")
feed_input(p,1,0," , \n")
feed_input(p,2,0,", \n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(3,0,core.END_OF_INPUT,core.M_NONE))
def test_rejects_length_one_line(self):
p = self.pclass()
feed_input(p,0,2, ",\n")
feed_input(p,1,0," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(1,1," ",core.M_NONE))
def test_rejects_length_one_line_with_early_end(self):
p = self.pclass()
feed_input(p,0,2, ",\n")
feed_input(p,1,0,"\n")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,0," ",core.M_NONE))
def test_sets_correct_meta_flags(self):
p = self.pclass()
input = ((3, ", \n"),
(0," , \n"),
(0," , \n"),
(0," " ))
s = core.M_OCCUPIED|core.M_LINE_START_SW | core.M_DASH_START_SW
o = core.M_OCCUPIED
n = core.M_NONE
a = core.M_LINE_AFTER_SW | core.M_DASH_AFTER_SW
meta = (( s,n,n,n,),
(n,n,o,n,n,n,n,),
(n,o,n,n,n,n,n,),
(a, ))
for j,(startcol,line) in enumerate(input):
for i,char in enumerate(line):
m = p.test(main.CurrentChar(j,startcol+i,char,core.M_NONE))
self.assertEquals(meta[j][i],m)
def do_render(self,x,y,l):
p = self.pclass()
for i in range(l):
feed_input(p,y+i,x-i,",\n")
feed_input(p,y+i+1,0," "*(x-1-i))
feed_input(p,y+l,x-l," ")
try:
p.test(main.CurrentChar(y+l,x-l+1," ",core.M_NONE))
except StopIteration: pass
return p.render()
def test_render_returns_line(self):
r = self.do_render(4,2,2)
self.assertEquals(1,len(r))
self.assertTrue(isinstance(r[0],core.Line))
def test_render_coordinates(self):
l = self.do_render(4,2,2)[0]
self.assertEquals((5,2),l.a)
self.assertEquals((3,4),l.b)
def test_render_coordinates_longer(self):
l = self.do_render(5,1,3)[0]
self.assertEquals((6,1),l.a)
self.assertEquals((3,4),l.b)
def test_render_z(self):
l = self.do_render(3,3,3)[0]
self.assertEquals(0,l.z)
def test_render_stroke_colour(self):
l = self.do_render(3,3,3)[0]
self.assertEquals(core.C_FOREGROUND,l.stroke)
def test_render_stroke_width(self):
l = self.do_render(3,3,3)[0]
self.assertEquals(1,l.w)
def test_render_stroke_style(self):
l = self.do_render(3,3,3)[0]
self.assertEquals(core.STROKE_DASHED,l.stype)
class TestShortDownDiagDashedLinePattern(unittest.TestCase,PatternTests):
def __init__(self,*args,**kargs):
unittest.TestCase.__init__(self,*args,**kargs)
self.pclass = patterns.ShortDownDiagDashedLinePattern
def test_accepts_line(self):
p = self.pclass()
feed_input(p,0,2, " ` \n")
feed_input(p,1,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(1,5," ",core.M_NONE))
def test_allows_occupied_left_context(self):
p = self.pclass()
p.test(main.CurrentChar(0,2," ",core.M_OCCUPIED))
def test_rejects_alpha_as_left_context(self):
p = self.pclass()
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,2,"b",core.M_NONE))
def test_rejects_numeric_as_left_context(self):
p = self.pclass()
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,2,"9",core.M_NONE))
def test_expects_backtick(self):
p = self.pclass()
feed_input(p,0,2," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,3," ",core.M_NONE))
def test_expects_backtick_unoccupied(self):
p = self.pclass()
feed_input(p,0,2," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,3,"`",core.M_OCCUPIED))
def test_allows_occupied_right_context(self):
p = self.pclass()
feed_input(p,0,2," `")
p.test(main.CurrentChar(0,4," ",core.M_OCCUPIED))
def test_rejects_alpha_as_right_context(self):
p = self.pclass()
feed_input(p,0,2," `")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,4,"d",core.M_NONE))
def test_rejects_numeric_as_right_context(self):
p = self.pclass()
feed_input(p,0,2," `")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,4,"5",core.M_NONE))
def test_allows_rest_of_first_line(self):
p = self.pclass()
feed_input(p,0,2," ` ")
p.test(main.CurrentChar(0,5,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(0,6,"b",core.M_OCCUPIED))
p.test(main.CurrentChar(0,7,"\n",core.M_OCCUPIED))
def test_allows_start_of_second_line(self):
p = self.pclass()
feed_input(p,0,3," ` \n")
p.test(main.CurrentChar(1,0,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(1,1,"b",core.M_OCCUPIED))
p.test(main.CurrentChar(1,2,"c",core.M_OCCUPIED))
def test_allows_no_character_at_end_due_to_eoi(self):
p = self.pclass()
feed_input(p,0,3," ` \n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(1,0,core.END_OF_INPUT,core.M_NONE))
def test_allows_no_character_at_end_due_to_short_line(self):
p = self.pclass()
feed_input(p,0,3, " ` \n")
feed_input(p,1,0,"\n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(2,0," ",core.M_NONE))
def test_allows_line_to_end_at_occupied_line(self):
p = self.pclass()
feed_input(p,0,2, " ` \n")
feed_input(p,1,0," ")
p.test(main.CurrentChar(1,4,"`",core.M_OCCUPIED))
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(1,5," ",core.M_NONE))
def test_allows_line_at_left_edge(self):
p = self.pclass()
feed_input(p,1,8,"\n")
feed_input(p,2,0,"` \n")
feed_input(p,3,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(3,2," ",core.M_NONE))
def test_allows_line_at_right_edge(self):
p = self.pclass()
feed_input(p,1,5, " `\n")
feed_input(p,2,0," \n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(3,0," ",core.M_NONE))
def test_allows_line_at_top_left_corner(self):
p = self.pclass()
p.test(main.CurrentChar(-1,0,core.START_OF_INPUT,core.M_NONE))
feed_input(p,0,0,"` \n")
feed_input(p,1,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(1,2," ",core.M_NONE))
def test_allows_bottom_right_corner(self):
p = self.pclass()
feed_input(p,2,2," ` \n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(3,0,core.END_OF_INPUT,core.M_NONE))
def test_sets_correct_meta_flags(self):
p = self.pclass()
input = ((4, " ` \n"),
(0," " ),)
n = core.M_NONE
s = core.M_OCCUPIED | core.M_LINE_START_SE | core.M_DASH_START_SE
a = core.M_LINE_AFTER_SE | core.M_DASH_AFTER_SE
meta = (( n,s,n,n,n,),
(n,n,n,n,n,n,a, ),)
for j,(linestart,line) in enumerate(input):
for i,char in enumerate(line):
m = p.test(main.CurrentChar(j,linestart+i,char,core.M_NONE))
self.assertEquals(meta[j][i],m)
def do_render(self,x,y):
p = self.pclass()
feed_input(p,y,x-1," ` \n")
feed_input(p,y+1,0," "*(x+2))
try:
p.test(main.CurrentChar(y+1,x+2," ",core.M_NONE))
except StopIteration: pass
return p.render()
def test_render_returns_line(self):
r = self.do_render(4,2)
self.assertEquals(1,len(r))
self.assertTrue(isinstance(r[0],core.Line))
def test_render_coordinates(self):
l = self.do_render(4,2)[0]
self.assertEquals((4,2),l.a)
self.assertEquals((5,3),l.b)
def test_render_z(self):
l = self.do_render(3,3)[0]
self.assertEquals(0,l.z)
def test_render_stroke_colour(self):
l = self.do_render(3,3)[0]
self.assertEquals(core.C_FOREGROUND,l.stroke)
def test_render_stroke_width(self):
l = self.do_render(3,3)[0]
self.assertEquals(1,l.w)
def test_render_stroke_style(self):
l = self.do_render(3,3)[0]
self.assertEquals(core.STROKE_DASHED,l.stype)
class TestLongDownDiagDasheLinePattern(unittest.TestCase,PatternTests):
def __init__(self,*args,**kargs):
unittest.TestCase.__init__(self,*args,**kargs)
self.pclass = patterns.LongDownDiagDashedLinePattern
def test_accepts_line(self):
p = self.pclass()
feed_input(p,0,2, "` \n")
feed_input(p,1,0," ` \n")
feed_input(p,2,0," ` \n")
feed_input(p,3,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(3,6," ",core.M_NONE))
def test_expects_start_backtick(self):
p = self.pclass()
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,3," ",core.M_NONE))
def test_expects_start_backtick_unoccupied(self):
p = self.pclass()
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,3,"`",core.M_OCCUPIED))
def test_allows_rest_of_start_line(self):
p = self.pclass()
feed_input(p,0,3,"`")
p.test(main.CurrentChar(0,4,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(0,5,"b",core.M_OCCUPIED))
p.test(main.CurrentChar(0,6,"\n",core.M_OCCUPIED))
def test_allows_start_of_next_line(self):
p = self.pclass()
feed_input(p,0,2,"`\n")
p.test(main.CurrentChar(1,0,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(1,1,"b",core.M_OCCUPIED))
p.test(main.CurrentChar(1,2,"c",core.M_OCCUPIED))
def test_rejects_length_one_line(self):
p = self.pclass()
feed_input(p,0,3, "`\n")
feed_input(p,1,0," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(1,4," ",core.M_NONE))
def test_rejects_length_one_line_with_early_end(self):
p = self.pclass()
feed_input(p,0,3, "`\n")
feed_input(p,1,0,"\n")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,0," ",core.M_NONE))
def test_accepts_rest_of_next_line(self):
p = self.pclass()
feed_input(p,0,3, "`\n")
feed_input(p,1,0," `")
p.test(main.CurrentChar(1,5,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(1,6,"\n",core.M_OCCUPIED))
def test_allows_no_character_at_end_due_to_eoi(self):
p = self.pclass()
feed_input(p,0,3, "` \n")
feed_input(p,1,0," ` \n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(2,0,core.END_OF_INPUT,core.M_NONE))
def test_allows_no_character_at_end_due_to_short_line(self):
p = self.pclass()
feed_input(p,0,3, "` \n")
feed_input(p,1,0," ` \n")
feed_input(p,2,0," \n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(3,0," ",core.M_NONE))
def test_allows_line_to_end_at_occupied_line(self):
p = self.pclass()
feed_input(p,0,3, "` \n")
feed_input(p,1,0," ` \n")
feed_input(p,2,0," ")
p.test(main.CurrentChar(2,5,"`",core.M_OCCUPIED))
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(2,6," ",core.M_NONE))
def test_allows_line_to_end_at_right_edge(self):
p = self.pclass()
feed_input(p,0,3, "` \n")
feed_input(p,1,0," ` \n")
feed_input(p,2,0," `\n")
feed_input(p,3,0," \n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(4,0," ",core.M_NONE))
def test_allows_line_to_end_at_bottom_right_corner(self):
p = self.pclass()
feed_input(p,0,3, "` \n")
feed_input(p,1,0," ` \n")
feed_input(p,2,0," `\n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(3,0,core.END_OF_INPUT,core.M_NONE))
def test_allows_line_to_start_at_left_edge(self):
p = self.pclass()
feed_input(p,1,0,"` \n")
feed_input(p,2,0," ` \n")
feed_input(p,3,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(3,3," ",core.M_NONE))
def test_allows_line_to_start_at_top_left_corner(self):
p = self.pclass()
feed_input(p,0,0,"` \n")
feed_input(p,1,0," ` \n")
feed_input(p,2,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(2,3," ",core.M_NONE))
def test_sets_correct_meta_flags(self):
p = self.pclass()
input = ((3, "` \n"),
(0," ` \n"),
(0," ` \n"),
(0," " ))
s = core.M_OCCUPIED | core.M_LINE_START_SE | core.M_DASH_START_SE
o = core.M_OCCUPIED
n = core.M_NONE
a = core.M_LINE_AFTER_SE | core.M_DASH_AFTER_SE
meta = (( s,n,n,n,n,),
(n,n,n,n,o,n,n,n,),
(n,n,n,n,n,o,n,n,),
(n,n,n,n,n,n,a, ))
for j,(startcol,line) in enumerate(input):
for i,char in enumerate(line):
m = p.test(main.CurrentChar(j,startcol+i,char,core.M_NONE))
self.assertEquals(meta[j][i],m)
def do_render(self,x,y,l):
p = self.pclass()
for i in range(l):
feed_input(p,y+i,x+i,"`\n")
feed_input(p,y+i+1,0," "*(x-1+i))
feed_input(p,y+l,x+l," ")
try:
p.test(main.CurrentChar(y+l,x+l+1," ",core.M_NONE))
except StopIteration: pass
return p.render()
def test_render_returns_line(self):
r = self.do_render(4,2,2)
self.assertEquals(1,len(r))
self.assertTrue(isinstance(r[0],core.Line))
def test_render_coordinates(self):
l = self.do_render(4,2,2)[0]
self.assertEquals((4,2),l.a)
self.assertEquals((6,4),l.b)
def test_render_coordinates_longer(self):
l = self.do_render(5,1,3)[0]
self.assertEquals((5,1),l.a)
self.assertEquals((8,4),l.b)
def test_render_z(self):
l = self.do_render(3,3,3)[0]
self.assertEquals(0,l.z)
def test_render_stroke_colour(self):
l = self.do_render(3,3,3)[0]
self.assertEquals(core.C_FOREGROUND,l.stroke)
def test_render_stroke_width(self):
l = self.do_render(3,3,3)[0]
self.assertEquals(1,l.w)
def test_render_stroke_style(self):
l = self.do_render(3,3,3)[0]
self.assertEquals(core.STROKE_DASHED,l.stype)
class TestShortVertDashedLinePattern(unittest.TestCase,PatternTests):
def __init__(self,*args,**kargs):
unittest.TestCase.__init__(self,*args,**kargs)
self.pclass = patterns.ShortVertDashedLinePattern
def test_accepts_line(self):
p = self.pclass()
feed_input(p,0,2, " ; \n")
feed_input(p,1,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(1,4," ",core.M_NONE))
def test_allows_occupied_left_context(self):
p = self.pclass()
p.test(main.CurrentChar(0,2," ",core.M_OCCUPIED))
def test_rejects_alpha_as_left_context(self):
p = self.pclass()
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,2,"b",core.M_NONE))
def test_rejects_numeric_as_left_context(self):
p = self.pclass()
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,2,"9",core.M_NONE))
def test_expects_semicolon(self):
p = self.pclass()
feed_input(p,0,2," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,3," ",core.M_NONE))
def test_expects_semicolon_unoccupied(self):
p = self.pclass()
feed_input(p,0,2," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,3,";",core.M_OCCUPIED))
def test_allows_occupied_right_context(self):
p = self.pclass()
feed_input(p,0,2," ;")
p.test(main.CurrentChar(0,4," ",core.M_OCCUPIED))
def test_rejects_alpha_as_right_context(self):
p = self.pclass()
feed_input(p,0,2," ;")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,4,"d",core.M_NONE))
def test_rejects_numeric_as_right_context(self):
p = self.pclass()
feed_input(p,0,2," ;")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,4,"5",core.M_NONE))
def test_allows_rest_of_first_line(self):
p = self.pclass()
feed_input(p,0,2," ; ")
p.test(main.CurrentChar(0,5,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(0,6,"b",core.M_OCCUPIED))
p.test(main.CurrentChar(0,7,"\n",core.M_OCCUPIED))
def test_allows_start_of_second_line(self):
p = self.pclass()
feed_input(p,0,3," ; \n")
p.test(main.CurrentChar(1,0,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(1,1,"b",core.M_OCCUPIED))
p.test(main.CurrentChar(1,2,"c",core.M_OCCUPIED))
p.test(main.CurrentChar(1,3,"d",core.M_OCCUPIED))
def test_allows_no_character_at_end_due_to_eoi(self):
p = self.pclass()
feed_input(p,0,3," ; \n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(1,0,core.END_OF_INPUT,core.M_NONE))
def test_allows_no_character_at_end_due_to_short_line(self):
p = self.pclass()
feed_input(p,0,3, " ; \n")
feed_input(p,1,0,"\n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(2,0," ",core.M_NONE))
def test_allows_line_to_end_at_occupied_line(self):
p = self.pclass()
feed_input(p,0,2, " ; \n")
feed_input(p,1,0," ")
p.test(main.CurrentChar(1,3,";",core.M_OCCUPIED))
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(1,4," ",core.M_NONE))
def test_allows_line_at_left_edge(self):
p = self.pclass()
feed_input(p,1,8,"\n")
feed_input(p,2,0,"; \n")
feed_input(p,3,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(3,1," ",core.M_NONE))
def test_allows_line_at_right_edge(self):
p = self.pclass()
feed_input(p,1,5, " ;\n")
feed_input(p,2,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(2,7,"\n",core.M_NONE))
def test_allows_line_at_top_left_corner(self):
p = self.pclass()
p.test(main.CurrentChar(-1,0,core.START_OF_INPUT,core.M_NONE))
feed_input(p,0,0,"; \n")
feed_input(p,1,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(1,1," ",core.M_NONE))
def test_allows_line_at_bottom_right_corner(self):
p = self.pclass()
feed_input(p,2,4, " ;\n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(3,0,core.END_OF_INPUT,core.M_NONE))
def test_sets_correct_meta_flags(self):
p = self.pclass()
input = ((4, " ; \n"),
(0," " ),)
n = core.M_NONE
s = core.M_OCCUPIED | core.M_LINE_START_S | core.M_DASH_START_S
a = core.M_LINE_AFTER_S | core.M_DASH_AFTER_S
meta = (( n,s,n,n,n,),
(n,n,n,n,n,a, ),)
for j,(linestart,line) in enumerate(input):
for i,char in enumerate(line):
m = p.test(main.CurrentChar(j,linestart+i,char,core.M_NONE))
self.assertEquals(meta[j][i],m)
def do_render(self,x,y,smeta=core.M_NONE,emeta=core.M_NONE):
p = self.pclass()
feed_input(p,y,x-1," ")
p.test(main.CurrentChar(y,x,";",smeta))
feed_input(p,y,x+1,"; \n")
feed_input(p,y+1,0," "*x)
p.test(main.CurrentChar(y+1,x," ",emeta))
try:
p.test(main.CurrentChar(y+1,x+1," ",core.M_NONE))
except StopIteration: pass
return p.render()
def test_render_returns_line(self):
r = self.do_render(4,2)
self.assertEquals(1,len(r))
self.assertTrue(isinstance(r[0],core.Line))
def test_render_coordinates(self):
l = self.do_render(4,2)[0]
self.assertEquals((4.5,2),l.a)
self.assertEquals((4.5,3),l.b)
def test_render_coordinates_start_box(self):
l = self.do_render(4,2,smeta=core.M_BOX_AFTER_S)[0]
self.assertEquals((4.5,1.5),l.a)
self.assertEquals((4.5,3),l.b)
def test_render_coordinates_end_box(self):
l = self.do_render(4,2,emeta=core.M_BOX_START_S)[0]
self.assertEquals((4.5,2),l.a)
self.assertEquals((4.5,3.5),l.b)
def test_render_coordinates_start_and_end_box(self):
l = self.do_render(4,2,smeta=core.M_BOX_AFTER_S,emeta=core.M_BOX_START_S)[0]
self.assertEquals((4.5,1.5),l.a)
self.assertEquals((4.5,3.5),l.b)
def test_render_z(self):
l = self.do_render(3,3)[0]
self.assertEquals(0,l.z)
def test_render_stroke_colour(self):
l = self.do_render(3,3)[0]
self.assertEquals(core.C_FOREGROUND,l.stroke)
def test_render_stroke_width(self):
l = self.do_render(3,3)[0]
self.assertEquals(1,l.w)
def test_render_stroke_style(self):
l = self.do_render(3,3)[0]
self.assertEquals(core.STROKE_DASHED,l.stype)
class TestLongVertDashedLinePattern(unittest.TestCase,PatternTests):
def __init__(self,*args,**kargs):
unittest.TestCase.__init__(self,*args,**kargs)
self.pclass = patterns.LongVertDashedLinePattern
def test_accepts_line(self):
p = self.pclass()
feed_input(p,0,3, "; \n")
feed_input(p,1,0," ; \n")
feed_input(p,2,0," ; \n")
feed_input(p,3,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(3,4," ",core.M_NONE))
def test_expects_start_semicolon(self):
p = self.pclass()
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,3," ",core.M_NONE))
def test_expects_start_semicolon_unoccupied(self):
p = self.pclass()
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,3,";",core.M_OCCUPIED))
def test_allows_rest_of_start_line(self):
p = self.pclass()
feed_input(p,0,3,";")
p.test(main.CurrentChar(0,4,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(0,5,"b",core.M_OCCUPIED))
p.test(main.CurrentChar(0,6,"\n",core.M_OCCUPIED))
def test_allows_start_of_next_line(self):
p = self.pclass()
feed_input(p,0,3,";\n")
p.test(main.CurrentChar(1,0,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(1,1,"b",core.M_OCCUPIED))
p.test(main.CurrentChar(1,2,"c",core.M_OCCUPIED))
def test_rejects_length_one_line(self):
p = self.pclass()
feed_input(p,0,2, ";\n")
feed_input(p,1,0," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(1,2," ",core.M_NONE))
def test_rejects_length_one_line_with_early_end(self):
p = self.pclass()
feed_input(p,0,2, ";\n")
feed_input(p,1,0,"\n")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(2,0," ",core.M_NONE))
def test_accepts_rest_of_next_line(self):
p = self.pclass()
feed_input(p,0,2, ";\n")
feed_input(p,1,0," ;")
p.test(main.CurrentChar(1,3,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(1,4,"\n",core.M_OCCUPIED))
def test_allows_no_character_at_end_due_to_eoi(self):
p = self.pclass()
feed_input(p,0,2, "; \n")
feed_input(p,1,0," ; \n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(2,0,core.END_OF_INPUT,core.M_NONE))
def test_allows_no_character_at_end_due_to_short_line(self):
p = self.pclass()
feed_input(p,0,3, "; \n")
feed_input(p,1,0," ; \n")
feed_input(p,2,0,"\n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(3,0," ",core.M_NONE))
def test_allows_line_to_end_at_occupied_line(self):
p = self.pclass()
feed_input(p,0,2, "; \n")
feed_input(p,1,0," ; \n")
feed_input(p,2,0," ")
p.test(main.CurrentChar(2,2,";",core.M_OCCUPIED))
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(2,3," ",core.M_NONE))
def test_allows_line_to_end_at_bottom_left(self):
p = self.pclass()
feed_input(p,3,0,"; \n")
feed_input(p,4,0,"; \n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(2,0,core.END_OF_INPUT,core.M_NONE))
def test_allows_line_to_end_at_bottom_right(self):
p = self.pclass()
feed_input(p,0,3, ";\n")
feed_input(p,1,0," ;\n")
feed_input(p,2,0," ;\n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(3,0,core.END_OF_INPUT,core.M_NONE))
def test_allows_line_to_start_at_left_edge(self):
p = self.pclass()
feed_input(p,2,0,";\n")
feed_input(p,3,0,";\n")
feed_input(p,4,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(4,1," ",core.M_NONE))
def test_allows_line_to_start_at_top_left_corner(self):
p = self.pclass()
feed_input(p,0,0,";\n")
feed_input(p,1,0,";\n")
feed_input(p,2,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(2,1," ",core.M_NONE))
def test_allows_line_to_start_at_bottom_left_corner(self):
p = self.pclass()
feed_input(p,4,0,";\n")
feed_input(p,5,0,";\n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(6,0,core.END_OF_INPUT,core.M_NONE))
def test_sets_correct_meta_flags(self):
p = self.pclass()
input = ((3, "; \n"),
(0," ; \n"),
(0," ; \n"),
(0," " ))
s = core.M_OCCUPIED | core.M_LINE_START_S | core.M_DASH_START_S
o = core.M_OCCUPIED
n = core.M_NONE
a = core.M_LINE_AFTER_S | core.M_DASH_AFTER_S
meta = (( s,n,n,n,),
(n,n,n,o,n,n,n,),
(n,n,n,o,n,n,n,),
(n,n,n,a, ))
for j,(startcol,line) in enumerate(input):
for i,char in enumerate(line):
m = p.test(main.CurrentChar(j,startcol+i,char,core.M_NONE))
self.assertEquals(meta[j][i],m)
def do_render(self,x,y,l,smeta=core.M_NONE,emeta=core.M_NONE):
p = self.pclass()
for i in range(l):
p.test(main.CurrentChar(y+i,x,";",smeta if i==0 else core.M_NONE))
p.test(main.CurrentChar(y+i,x+1,"\n",core.M_NONE))
feed_input(p,y+i+1,0," "*x)
p.test(main.CurrentChar(y+l,x," ",emeta))
try:
p.test(main.CurrentChar(y+l,x+1," ",core.M_NONE))
except StopIteration: pass
return p.render()
def test_render_returns_line(self):
r = self.do_render(4,2,2)
self.assertEquals(1,len(r))
self.assertTrue(isinstance(r[0],core.Line))
def test_render_coordinates(self):
l = self.do_render(4,2,2)[0]
self.assertEquals((4.5,2),l.a)
self.assertEquals((4.5,4),l.b)
def test_render_coordinates_longer(self):
l = self.do_render(5,1,3)[0]
self.assertEquals((5.5,1),l.a)
self.assertEquals((5.5,4),l.b)
def test_render_coordinates_start_box(self):
l = self.do_render(4,2,2,smeta=core.M_BOX_AFTER_S)[0]
self.assertEquals((4.5,1.5),l.a)
self.assertEquals((4.5,4),l.b)
def test_render_coordinates_end_box(self):
l = self.do_render(4,2,2,emeta=core.M_BOX_START_S)[0]
self.assertEquals((4.5,2),l.a)
self.assertEquals((4.5,4.5),l.b)
def test_render_coordinates_start_and_end_box(self):
l = self.do_render(4,2,2,smeta=core.M_BOX_AFTER_S,emeta=core.M_BOX_START_S)[0]
self.assertEquals((4.5,1.5),l.a)
self.assertEquals((4.5,4.5),l.b)
def test_render_z(self):
l = self.do_render(3,3,3)[0]
self.assertEquals(0,l.z)
def test_render_stroke_colour(self):
l = self.do_render(3,3,3)[0]
self.assertEquals(core.C_FOREGROUND,l.stroke)
def test_render_stroke_width(self):
l = self.do_render(3,3,3)[0]
self.assertEquals(1,l.w)
def test_render_stroke_style(self):
l = self.do_render(3,3,3)[0]
self.assertEquals(core.STROKE_DASHED,l.stype)
class TestLongHorizDashedLinePattern(unittest.TestCase,PatternTests):
def __init__(self,*args,**kargs):
unittest.TestCase.__init__(self,*args,**kargs)
self.pclass = patterns.LongHorizDashedLinePattern
def test_accepts_line(self):
p = self.pclass()
feed_input(p,0,3, "- - - ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(0,10," ",core.M_NONE))
def test_expects_start_hyphen(self):
p = self.pclass()
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,3," ",core.M_NONE))
def test_expects_start_hyphen_unoccupied(self):
p = self.pclass()
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,3,"-",core.M_OCCUPIED))
def test_expects_space_after_hypen(self):
p = self.pclass()
feed_input(p,0,3,"-")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,4,"-",core.M_NONE))
def test_space_after_hyphen_unoccupied(self):
p = self.pclass()
feed_input(p,0,3,"-")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,4," ",core.M_OCCUPIED))
def test_expects_space_after_second_hyphen(self):
p = self.pclass()
feed_input(p,0,3,"- -")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,6,"-",core.M_NONE))
def test_expects_space_after_second_hyphen_unoccupied(self):
p = self.pclass()
feed_input(p,0,3,"- -")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,6," ",core.M_OCCUPIED))
def test_doesnt_accept_two_char_line(self):
p = self.pclass()
feed_input(p,0,2, "- ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,4," ",core.M_NONE))
def test_allows_no_character_at_end_due_to_short_line(self):
p = self.pclass()
feed_input(p,0,3, "- - \n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(1,0," ",core.M_NONE))
def test_allows_line_to_end_at_occupied_line(self):
p = self.pclass()
feed_input(p,0,2, "- - ")
p.test(main.CurrentChar(0,6,"-",core.M_OCCUPIED))
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(0,7," ",core.M_NONE))
def test_allows_line_to_end_at_bottom_right(self):
p = self.pclass()
feed_input(p,2,3,"- - \n")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(3,0,core.END_OF_INPUT,core.M_NONE))
def test_allows_line_to_start_at_left_edge(self):
p = self.pclass()
feed_input(p,2,0,"- - ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(2,5," ",core.M_NONE))
def test_allows_line_to_start_at_top_left_corner(self):
p = self.pclass()
feed_input(p,0,0,"- - ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(0,5," ",core.M_NONE))
def test_sets_correct_meta_flags(self):
p = self.pclass()
input = ((3, "- - - - "),)
s = core.M_OCCUPIED | core.M_LINE_START_E | core.M_DASH_START_E
o = core.M_OCCUPIED
n = core.M_NONE
a = core.M_LINE_AFTER_E | core.M_DASH_AFTER_E
meta = ((s,o,o,o,o,o,o,o,a,),)
for j,(startcol,line) in enumerate(input):
for i,char in enumerate(line):
m = p.test(main.CurrentChar(j,startcol+i,char,core.M_NONE))
self.assertEquals(meta[j][i],m)
def do_render(self,x,y,l,smeta=core.M_NONE,emeta=core.M_NONE):
p = self.pclass()
p.test(main.CurrentChar(y,x,"-",smeta))
p.test(main.CurrentChar(y,x+1," ",core.M_NONE))
feed_input(p,y,x+2,"- "*(l//2-1))
p.test(main.CurrentChar(y,x+l," ",emeta))
try:
p.test(main.CurrentChar(y,x+l+1," ",core.M_NONE))
except StopIteration: pass
return p.render()
def test_render_returns_line(self):
r = self.do_render(4,2,4)
self.assertEquals(1,len(r))
self.assertTrue(isinstance(r[0],core.Line))
def test_render_coordinates(self):
l = self.do_render(4,2,6)[0]
self.assertEquals((4,2.5),l.a)
self.assertEquals((10,2.5),l.b)
def test_render_coordinates_longer(self):
l = self.do_render(5,1,8)[0]
self.assertEquals((5,1.5),l.a)
self.assertEquals((13,1.5),l.b)
def test_render_coordinates_shorter(self):
l = self.do_render(6,3,4)[0]
self.assertEquals((6,3.5),l.a)
self.assertEquals((10,3.5),l.b)
def test_render_coordinates_box_start(self):
l = self.do_render(4,2,6,smeta=core.M_BOX_AFTER_E)[0]
self.assertEquals((3.5,2.5),l.a)
self.assertEquals((10,2.5),l.b)
def test_render_coordinates_box_end(self):
l = self.do_render(4,2,6,emeta=core.M_BOX_START_E)[0]
self.assertEquals((4,2.5),l.a)
self.assertEquals((10.5,2.5),l.b)
def test_render_coordinates_box_start_and_end(self):
l = self.do_render(4,2,6,smeta=core.M_BOX_AFTER_E,emeta=core.M_BOX_START_E)[0]
self.assertEquals((3.5,2.5),l.a)
self.assertEquals((10.5,2.5),l.b)
def test_render_z(self):
l = self.do_render(3,3,4)[0]
self.assertEquals(0,l.z)
def test_render_stroke_colour(self):
l = self.do_render(3,3,4)[0]
self.assertEquals(core.C_FOREGROUND,l.stroke)
def test_render_stroke_width(self):
l = self.do_render(3,3,4)[0]
self.assertEquals(1,l.w)
def test_render_stroke_style(self):
l = self.do_render(3,3,4)[0]
self.assertEquals(core.STROKE_DASHED,l.stype)
class TestLineSqCornerPattern(unittest.TestCase,PatternTests):
def __init__(self,*args,**kargs):
unittest.TestCase.__init__(self,*args,**kargs)
self.pclass = patterns.LineSqCornerPattern
def test_accepts_corner(self):
p = self.pclass()
p.test(main.CurrentChar(0,2,"+",core.M_LINE_AFTER_E))
feed_input(p,0,4," \n")
feed_input(p,1,0," ")
p.test(main.CurrentChar(1,2,"|",core.M_LINE_START_S))
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(1,3," ",core.M_NONE))
def test_expects_plus_sign(self):
p = self.pclass()
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,2,"?",core.M_LINE_AFTER_E))
def test_expects_plus_sign_unoccupied(self):
p = self.pclass()
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,2,"+",core.M_OCCUPIED))
def test_allows_rest_of_first_line(self):
p = self.pclass()
feed_input(p,0,2,"+")
p.test(main.CurrentChar(0,3,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(0,4,"b",core.M_OCCUPIED))
p.test(main.CurrentChar(0,5,"\n",core.M_OCCUPIED))
def test_allows_occupied_second_line(self):
p = self.pclass()
p.test(main.CurrentChar(0,2,"+",core.M_LINE_AFTER_E))
feed_input(p,0,3,"\n")
p.test(main.CurrentChar(1,0,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(1,1,"b",core.M_OCCUPIED))
p.test(main.CurrentChar(1,2,"c",core.M_OCCUPIED|core.M_LINE_START_S))
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(1,3,"d",core.M_OCCUPIED))
def test_rejects_zero_lines(self):
p = self.pclass()
feed_input(p,0,2, "+ \n")
feed_input(p,1,0," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(1,3," ",core.M_NONE))
def test_rejects_single_line(self):
p = self.pclass()
feed_input(p,0,2, "+ \n")
feed_input(p,1,0," ")
p.test(main.CurrentChar(1,2,"|",core.M_LINE_START_S))
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(1,3," ",core.M_NONE))
def test_allows_northwest_line(self):
p = self.pclass()
p.test(main.CurrentChar(0,2,"+",core.M_LINE_AFTER_SE))
feed_input(p,0,3, " \n")
feed_input(p,1,0," ")
p.test(main.CurrentChar(1,2,"|",core.M_LINE_START_S))
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(1,3," ",core.M_NONE))
def test_allows_north_line(self):
p = self.pclass()
p.test(main.CurrentChar(0,2,"+",core.M_LINE_AFTER_S))
feed_input(p,0,3, " \n")
feed_input(p,1,0," ")
p.test(main.CurrentChar(1,2,"|",core.M_LINE_START_S))
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(1,3," ",core.M_NONE))
def test_allows_northeast_line(self):
p = self.pclass()
p.test(main.CurrentChar(0,2,"+",core.M_LINE_AFTER_SW))
feed_input(p,0,3, " \n")
feed_input(p,1,0," ")
p.test(main.CurrentChar(1,2,"|",core.M_LINE_START_S))
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(1,3," ",core.M_NONE))
def test_allows_west_line(self):
p = self.pclass()
p.test(main.CurrentChar(0,2,"+",core.M_LINE_AFTER_E))
feed_input(p,0,3, " \n")
feed_input(p,1,0," ")
p.test(main.CurrentChar(1,2,"|",core.M_LINE_START_S))
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(1,3," ",core.M_NONE))
def test_allows_east_line(self):
p = self.pclass()
p.test(main.CurrentChar(0,2,"+",core.M_NONE))
p.test(main.CurrentChar(0,3,"-",core.M_LINE_START_E))
feed_input(p,0,4,"\n")
feed_input(p,1,0," ")
p.test(main.CurrentChar(1,2,"|",core.M_LINE_START_S))
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(1,3," ",core.M_NONE))
def test_allows_southwest_line(self):
p = self.pclass()
feed_input(p,0,2, "+ \n")
feed_input(p,1,0," ")
p.test(main.CurrentChar(1,1,"/",core.M_LINE_START_SW))
p.test(main.CurrentChar(1,2,"|",core.M_LINE_START_S))
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(1,3," ",core.M_NONE))
def test_allows_southeast_line(self):
p = self.pclass()
feed_input(p,0,2, "+ \n")
feed_input(p,1,0," ")
p.test(main.CurrentChar(1,2,"|",core.M_LINE_START_S))
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(1,3,"\\",core.M_LINE_START_SE))
def test_allows_more_than_two_lines(self):
p = self.pclass()
p.test(main.CurrentChar(0,2,"+",core.M_LINE_AFTER_SE|core.M_LINE_AFTER_SW))
feed_input(p,0,1," \n")
feed_input(p,1,0," ")
p.test(main.CurrentChar(1,1,"/",core.M_LINE_START_SW))
feed_input(p,1,2," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(1,3,"\\",core.M_LINE_START_SE))
def test_ignores_line_characters(self):
p = self.pclass()
feed_input(p,0,2,"+")
p.test(main.CurrentChar(0,3,"Z",core.M_LINE_START_E))
feed_input(p,0,4,"\n")
feed_input(p,1,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(1,3,"Q",core.M_LINE_START_SE))
def test_sets_correct_meta_flags(self):
p = self.pclass()
input = ((2, "+ \n"),
(0," |" ))
w = core.M_LINE_AFTER_E
s = core.M_LINE_START_S
n = core.M_NONE
o = core.M_OCCUPIED
inmeta = (( w,n,n,),
(n,n,s, ))
outmeta =(( o,n,n,),
(n,n,n, ))
for j,(startcol,line) in enumerate(input):
for i,char in enumerate(line):
im = inmeta[j][i]
om = outmeta[j][i]
self.assertEquals(om,p.test(main.CurrentChar(j,startcol+i,char,im)))
def do_render(self,x,y,lines):
p = self.pclass()
p.test(main.CurrentChar(y,x,"+",lines & (core.M_LINE_AFTER_E|core.M_LINE_AFTER_S
|core.M_LINE_AFTER_SW|core.M_LINE_AFTER_SE|core.M_DASH_AFTER_E
|core.M_DASH_AFTER_S|core.M_DASH_AFTER_SW|core.M_DASH_AFTER_SE)))
p.test(main.CurrentChar(y,x+1," ",lines & (core.M_LINE_START_E|core.M_DASH_START_E)))
p.test(main.CurrentChar(y,x+2,"\n",core.M_NONE))
feed_input(p,y+1,0," "*(x-1))
p.test(main.CurrentChar(y+1,x-1," ",lines & (core.M_LINE_START_SW|core.M_DASH_START_SW)))
p.test(main.CurrentChar(y+1,x," ",lines & (core.M_LINE_START_S|core.M_DASH_START_S)))
try:
p.test(main.CurrentChar(y+1,x+1," ",lines & (core.M_LINE_START_SE|core.M_DASH_START_SE)))
except StopIteration: pass
return p.render()
def test_render_returns_lines(self):
r = self.do_render(2,2,core.M_LINE_AFTER_S|core.M_LINE_START_E)
for shape in r:
self.assertTrue( isinstance(shape,core.Line) )
def test_render_returns_two_lines_for_two_directions_(self):
r = self.do_render(2,2,core.M_LINE_AFTER_S|core.M_LINE_START_E)
self.assertEquals(2, len(r))
def test_render_returns_six_lines_for_six_directions(self):
r = self.do_render(2,2,core.M_LINE_AFTER_S|core.M_LINE_START_E|core.M_LINE_START_SE
|core.M_LINE_AFTER_SE|core.M_LINE_AFTER_E|core.M_LINE_START_SW)
self.assertEquals(6, len(r))
def test_render_coordinates_northwest(self):
r = self.do_render(2,2,core.M_LINE_AFTER_E|core.M_LINE_AFTER_SE)
l = self.find_with(r,"b",(2,2))
self.assertEquals((2.5,2.5),l.a)
def test_render_coordinates_north(self):
r = self.do_render(2,2,core.M_LINE_AFTER_E|core.M_LINE_AFTER_S)
l = self.find_with(r,"b",(2.5,2))
self.assertEquals((2.5,2.5),l.a)
def test_render_coordinates_northeast(self):
r = self.do_render(2,2,core.M_LINE_AFTER_E|core.M_LINE_AFTER_SW)
l = self.find_with(r,"b",(3,2))
self.assertEquals((2.5,2.5),l.a)
def test_render_coordinates_east(self):
r = self.do_render(2,2,core.M_LINE_AFTER_E|core.M_LINE_START_E)
l = self.find_with(r,"b",(3,2.5))
self.assertEquals((2.5,2.5),l.a)
def test_render_coordinates_southeast(self):
r = self.do_render(2,2,core.M_LINE_AFTER_E|core.M_LINE_START_SE)
l = self.find_with(r,"b",(3,3))
self.assertEquals((2.5,2.5),l.a)
def test_render_coordinates_south(self):
r = self.do_render(2,2,core.M_LINE_AFTER_E|core.M_LINE_START_S)
l = self.find_with(r,"b",(2.5,3))
self.assertEquals((2.5,2.5),l.a)
def test_render_coordinates_southwest(self):
r = self.do_render(2,2,core.M_LINE_AFTER_E|core.M_LINE_START_SW)
l = self.find_with(r,"b",(2,3))
self.assertEquals((2.5,2.5),l.a)
def test_render_coordinates_west(self):
r = self.do_render(2,2,core.M_LINE_AFTER_E|core.M_LINE_AFTER_S)
l = self.find_with(r,"b",(2,2.5))
self.assertEquals((2.5,2.5),l.a)
def test_render_coordinates_position(self):
r = self.do_render(4,6,core.M_LINE_AFTER_E|core.M_LINE_AFTER_S)
l1 = self.find_with(r,"b",(4,6.5))
self.assertEquals((4.5,6.5),l1.a)
l2 = self.find_with(r,"b",(4.5,6))
self.assertEquals((4.5,6.5),l2.a)
def test_render_z(self):
r = self.do_render(2,2,core.M_LINE_AFTER_E|core.M_LINE_AFTER_S)
for shape in r:
self.assertEquals(0,shape.z)
def test_render_stroke_colour(self):
r = self.do_render(2,2,core.M_LINE_AFTER_E|core.M_LINE_AFTER_S)
for shape in r:
self.assertEquals(core.C_FOREGROUND,shape.stroke)
def test_render_stroke_width(self):
r = self.do_render(2,2,core.M_LINE_AFTER_E|core.M_LINE_AFTER_S)
for shape in r:
self.assertEquals(1,shape.w)
def test_render_stroke_style_solid(self):
r = self.do_render(2,2,core.M_LINE_AFTER_E|core.M_LINE_AFTER_S)
for shape in r:
self.assertEquals(core.STROKE_SOLID,shape.stype)
def test_render_stroke_type_dashed(self):
r = self.do_render(2,2,core.M_LINE_AFTER_E|core.M_DASH_AFTER_E
|core.M_LINE_AFTER_S|core.M_DASH_AFTER_S)
for shape in r:
self.assertEquals(core.STROKE_DASHED,shape.stype)
def test_render_stroke_types_mixed(self):
r = self.do_render(2,2,core.M_LINE_AFTER_E|core.M_DASH_AFTER_E
|core.M_LINE_AFTER_S)
l1 = self.find_with(r,"b",(2,2.5))
self.assertEquals(core.STROKE_DASHED,l1.stype)
l2 = self.find_with(r,"b",(2.5,2))
self.assertEquals(core.STROKE_SOLID,l2.stype)
class TestLineRdCornerPattern(unittest.TestCase,PatternTests):
def __init__(self,*args,**kargs):
unittest.TestCase.__init__(self,*args,**kargs)
self.pclass = patterns.LineRdCornerPattern
def test_accepts_corner(self):
p = self.pclass()
p.test(main.CurrentChar(0,2,".",core.M_LINE_AFTER_E))
feed_input(p,0,4," \n")
feed_input(p,1,0," ")
p.test(main.CurrentChar(1,2,"|",core.M_LINE_START_S))
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(1,3," ",core.M_NONE))
def test_expects_period(self):
p = self.pclass()
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,2,"?",core.M_LINE_AFTER_E))
def test_expects_period_unoccupied(self):
p = self.pclass()
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,2,".",core.M_OCCUPIED))
def test_allows_apostraphe(self):
p = self.pclass()
p.test(main.CurrentChar(0,2,"'",core.M_NONE))
def test_rejects_apostraphe_occupied(self):
p = self.pclass()
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,2,"'",core.M_OCCUPIED))
def test_allows_colon(self):
p = self.pclass()
p.test(main.CurrentChar(0,2,":",core.M_NONE))
def test_rejects_colon_occupied(self):
p = self.pclass()
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,2,":",core.M_OCCUPIED))
def test_allows_rest_of_first_line(self):
p = self.pclass()
feed_input(p,0,2,".")
p.test(main.CurrentChar(0,3,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(0,4,"b",core.M_OCCUPIED))
p.test(main.CurrentChar(0,5,"\n",core.M_OCCUPIED))
def test_allows_occupied_second_line(self):
p = self.pclass()
p.test(main.CurrentChar(0,2,".",core.M_LINE_AFTER_E))
feed_input(p,0,3,"\n")
p.test(main.CurrentChar(1,0,"a",core.M_OCCUPIED))
p.test(main.CurrentChar(1,1,"b",core.M_OCCUPIED))
p.test(main.CurrentChar(1,2,"c",core.M_OCCUPIED|core.M_LINE_START_S))
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(1,3,"d",core.M_OCCUPIED))
def test_rejects_zero_lines(self):
p = self.pclass()
feed_input(p,0,2, ". \n")
feed_input(p,1,0," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(1,3," ",core.M_NONE))
def test_rejects_single_line(self):
p = self.pclass()
feed_input(p,0,2, ". \n")
feed_input(p,1,0," ")
p.test(main.CurrentChar(1,2,"|",core.M_LINE_START_S))
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(1,3," ",core.M_NONE))
def test_allows_northwest_line_with_apostraphe(self):
p = self.pclass()
p.test(main.CurrentChar(0,2,"'",core.M_LINE_AFTER_SE|core.M_LINE_AFTER_E))
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(0,3," ",core.M_NONE))
def test_allows_northwest_line_with_colon(self):
p = self.pclass()
p.test(main.CurrentChar(0,2,":",core.M_LINE_AFTER_SE|core.M_LINE_AFTER_E))
feed_input(p,0,3," ")
feed_input(p,1,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(1,3," ",core.M_NONE))
def test_rejects_northwest_line_with_period(self):
p = self.pclass()
p.test(main.CurrentChar(0,2,".",core.M_LINE_AFTER_SE|core.M_LINE_AFTER_E))
feed_input(p,0,3," ")
feed_input(p,1,0," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(1,3," ",core.M_NONE))
def test_allows_north_line_with_apostraphe(self):
p = self.pclass()
p.test(main.CurrentChar(0,2,"'",core.M_LINE_AFTER_S|core.M_LINE_AFTER_E))
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(0,3," ",core.M_NONE))
def test_allows_north_line_with_colon(self):
p = self.pclass()
p.test(main.CurrentChar(0,2,":",core.M_LINE_AFTER_S|core.M_LINE_AFTER_E))
feed_input(p,0,3," ")
feed_input(p,1,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(1,3," ",core.M_NONE))
def test_rejects_north_line_with_period(self):
p = self.pclass()
p.test(main.CurrentChar(0,2,".",core.M_LINE_AFTER_S|core.M_LINE_AFTER_E))
feed_input(p,0,3," ")
feed_input(p,1,0," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(1,3," ",core.M_NONE))
def test_allows_northeast_line_with_apostraphe(self):
p = self.pclass()
p.test(main.CurrentChar(0,2,"'",core.M_LINE_AFTER_SW|core.M_LINE_AFTER_E))
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(0,3," ",core.M_NONE))
def test_allows_northeast_line_with_colon(self):
p = self.pclass()
p.test(main.CurrentChar(0,2,":",core.M_LINE_AFTER_SW|core.M_LINE_AFTER_E))
feed_input(p,0,3," ")
feed_input(p,1,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(1,3," ",core.M_NONE))
def test_rejects_northeast_line_with_period(self):
p = self.pclass()
p.test(main.CurrentChar(0,2,".",core.M_LINE_AFTER_SW|core.M_LINE_AFTER_E))
feed_input(p,0,3," ")
feed_input(p,1,0," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(1,3," ",core.M_NONE))
def test_allows_east_line_with_apostraphe(self):
p = self.pclass()
p.test(main.CurrentChar(0,2,"'",core.M_LINE_AFTER_E))
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(0,3,"-",core.M_LINE_START_E))
def test_allows_east_line_with_colon(self):
p = self.pclass()
p.test(main.CurrentChar(0,2,":",core.M_LINE_AFTER_E))
p.test(main.CurrentChar(0,3,"-",core.M_LINE_START_E))
feed_input(p,1,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(1,3," ",core.M_NONE))
def test_allows_east_line_with_period(self):
p = self.pclass()
p.test(main.CurrentChar(0,2,".",core.M_LINE_AFTER_E))
p.test(main.CurrentChar(0,3,"-",core.M_LINE_START_E))
feed_input(p,1,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(1,3," ",core.M_NONE))
def test_rejects_southeast_line_with_apostraphe(self):
p = self.pclass()
p.test(main.CurrentChar(0,2,"'",core.M_LINE_AFTER_E))
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,3," ",core.M_NONE))
def test_allows_southeast_line_with_colon(self):
p = self.pclass()
p.test(main.CurrentChar(0,2,":",core.M_LINE_AFTER_E))
feed_input(p,0,3," ")
feed_input(p,1,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(1,3,"\\",core.M_LINE_START_SE))
def test_allows_southeast_line_with_period(self):
p = self.pclass()
p.test(main.CurrentChar(0,2,".",core.M_LINE_AFTER_E))
feed_input(p,0,3," ")
feed_input(p,1,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(1,3,"\\",core.M_LINE_START_SE))
def test_rejects_south_line_with_apostraphe(self):
p = self.pclass()
p.test(main.CurrentChar(0,2,"'",core.M_LINE_AFTER_E))
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,3," ",core.M_NONE))
def test_allows_south_line_with_colon(self):
p = self.pclass()
p.test(main.CurrentChar(0,2,":",core.M_LINE_AFTER_E))
feed_input(p,0,3," ")
feed_input(p,1,0," ")
p.test(main.CurrentChar(1,2,"|",core.M_LINE_START_S))
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(1,3," ",core.M_NONE))
def test_allows_south_line_with_period(self):
p = self.pclass()
p.test(main.CurrentChar(0,2,".",core.M_LINE_AFTER_E))
feed_input(p,0,3," ")
feed_input(p,1,0," ")
p.test(main.CurrentChar(1,2,"|",core.M_LINE_START_S))
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(1,3," ",core.M_NONE))
def test_rejects_southwest_line_with_apostraphe(self):
p = self.pclass()
p.test(main.CurrentChar(0,2,"'",core.M_LINE_AFTER_E))
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,3," ",core.M_NONE))
def test_allows_southwest_line_with_colon(self):
p = self.pclass()
p.test(main.CurrentChar(0,2,":",core.M_LINE_AFTER_E))
feed_input(p,0,3," ")
feed_input(p,1,0," ")
p.test(main.CurrentChar(1,1,"/",core.M_LINE_START_SW))
feed_input(p,1,2," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(1,3," ",core.M_NONE))
def test_allows_southwest_line_with_period(self):
p = self.pclass()
p.test(main.CurrentChar(0,2,".",core.M_LINE_AFTER_E))
feed_input(p,0,3," ")
feed_input(p,1,0," ")
p.test(main.CurrentChar(1,1,"/",core.M_LINE_START_SW))
feed_input(p,1,2," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(1,3," ",core.M_NONE))
def test_allows_more_than_two_lines(self):
p = self.pclass()
p.test(main.CurrentChar(0,2,":",core.M_LINE_AFTER_SE|core.M_LINE_AFTER_SW))
feed_input(p,0,1," \n")
feed_input(p,1,0," ")
p.test(main.CurrentChar(1,1,"/",core.M_LINE_START_SW))
feed_input(p,1,2," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(1,3,"\\",core.M_LINE_START_SE))
def test_ignores_line_characters(self):
p = self.pclass()
feed_input(p,0,2,".")
p.test(main.CurrentChar(0,3,"Z",core.M_LINE_START_E))
feed_input(p,0,4,"\n")
feed_input(p,1,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(1,3,"Q",core.M_LINE_START_SE))
def test_sets_correct_meta_flags(self):
p = self.pclass()
input = ((2, ". \n"),
(0," |" ))
w = core.M_LINE_AFTER_E
s = core.M_LINE_START_S
n = core.M_NONE
o = core.M_OCCUPIED
inmeta = (( w,n,n,),
(n,n,s, ))
outmeta =(( o,n,n,),
(n,n,n, ))
for j,(startcol,line) in enumerate(input):
for i,char in enumerate(line):
im = inmeta[j][i]
om = outmeta[j][i]
self.assertEquals(om,p.test(main.CurrentChar(j,startcol+i,char,im)))
def do_render(self,x,y,lines):
p = self.pclass()
p.test(main.CurrentChar(y,x,":",lines & (core.M_LINE_AFTER_E|core.M_LINE_AFTER_S
|core.M_LINE_AFTER_SW|core.M_LINE_AFTER_SE|core.M_DASH_AFTER_E
|core.M_DASH_AFTER_S|core.M_DASH_AFTER_SW|core.M_DASH_AFTER_SE)))
p.test(main.CurrentChar(y,x+1," ",lines & (core.M_LINE_START_E|core.M_DASH_START_E)))
p.test(main.CurrentChar(y,x+2,"\n",core.M_NONE))
feed_input(p,y+1,0," "*(x-1))
p.test(main.CurrentChar(y+1,x-1," ",lines & (core.M_LINE_START_SW|core.M_DASH_START_SW)))
p.test(main.CurrentChar(y+1,x," ",lines & (core.M_LINE_START_S|core.M_DASH_START_S)))
try:
p.test(main.CurrentChar(y+1,x+1," ",lines & (core.M_LINE_START_SE|core.M_DASH_START_SE)))
except StopIteration: pass
return p.render()
def test_render_returns_quad_curves(self):
r = self.do_render(2,2,core.M_LINE_AFTER_S|core.M_LINE_START_E)
for shape in r:
self.assertTrue( isinstance(shape,core.QuadCurve) )
def test_render_returns_one_curve_for_two_directions(self):
r = self.do_render(2,2,core.M_LINE_AFTER_S|core.M_LINE_START_E)
self.assertEquals(1, len(r))
def test_render_returns_fifteen_curves_for_six_directions(self):
r = self.do_render(2,2,core.M_LINE_AFTER_S|core.M_LINE_START_E|core.M_LINE_START_SE
|core.M_LINE_AFTER_SE|core.M_LINE_AFTER_E|core.M_LINE_START_SW)
self.assertEquals(15, len(r))
def test_render_coordinates_northwest(self):
l = self.do_render(2,2,core.M_LINE_AFTER_E|core.M_LINE_AFTER_SE)[0]
self.assertEquals((2,2.5),l.a)
self.assertEquals((2,2),l.b)
self.assertEquals((2.5,2.5),l.c)
def test_render_coordinates_north(self):
l = self.do_render(2,2,core.M_LINE_AFTER_E|core.M_LINE_AFTER_S)[0]
self.assertEquals((2,2.5),l.a)
self.assertEquals((2.5,2),l.b)
self.assertEquals((2.5,2.5),l.c)
def test_render_coordinates_northeast(self):
l = self.do_render(2,2,core.M_LINE_AFTER_E|core.M_LINE_AFTER_SW)[0]
self.assertEquals((2,2.5),l.a)
self.assertEquals((3,2),l.b)
self.assertEquals((2.5,2.5),l.c)
def test_render_coordinates_east(self):
l = self.do_render(2,2,core.M_LINE_AFTER_E|core.M_LINE_START_E)[0]
self.assertEquals((2,2.5),l.a)
self.assertEquals((3,2.5),l.b)
self.assertEquals((2.5,2.5),l.c)
def test_render_coordinates_southeast(self):
l = self.do_render(2,2,core.M_LINE_AFTER_E|core.M_LINE_START_SE)[0]
self.assertEquals((2,2.5),l.a)
self.assertEquals((3,3),l.b)
self.assertEquals((2.5,2.5),l.c)
def test_render_coordinates_south(self):
l = self.do_render(2,2,core.M_LINE_AFTER_E|core.M_LINE_START_S)[0]
self.assertEquals((2,2.5),l.a)
self.assertEquals((2.5,3),l.b)
self.assertEquals((2.5,2.5),l.c)
def test_render_coordinates_southwest(self):
l = self.do_render(2,2,core.M_LINE_AFTER_E|core.M_LINE_START_SW)[0]
self.assertEquals((2,2.5),l.a)
self.assertEquals((2,3),l.b)
self.assertEquals((2.5,2.5),l.c)
def test_render_coordinates_west(self):
l = self.do_render(2,2,core.M_LINE_AFTER_E|core.M_LINE_AFTER_S)[0]
self.assertEquals((2,2.5),l.a)
self.assertEquals((2.5,2),l.b)
self.assertEquals((2.5,2.5),l.c)
def test_render_coordinates_position(self):
l = self.do_render(4,6,core.M_LINE_AFTER_E|core.M_LINE_AFTER_S)[0]
self.assertEquals((4,6.5),l.a)
self.assertEquals((4.5,6),l.b)
self.assertEquals((4.5,6.5),l.c)
def test_render_z(self):
r = self.do_render(2,2,core.M_LINE_AFTER_E|core.M_LINE_AFTER_S)
for shape in r:
self.assertEquals(0,shape.z)
def test_render_stroke_colour(self):
r = self.do_render(2,2,core.M_LINE_AFTER_E|core.M_LINE_AFTER_S)
for shape in r:
self.assertEquals(core.C_FOREGROUND,shape.stroke)
def test_render_stroke_width(self):
r = self.do_render(2,2,core.M_LINE_AFTER_E|core.M_LINE_AFTER_S)
for shape in r:
self.assertEquals(1,shape.w)
def test_render_stroke_style_solid(self):
r = self.do_render(2,2,core.M_LINE_AFTER_E|core.M_LINE_AFTER_S)
for shape in r:
self.assertEquals(core.STROKE_SOLID,shape.stype)
def test_render_stroke_type_dashed(self):
r = self.do_render(2,2,core.M_LINE_AFTER_E|core.M_DASH_AFTER_E
|core.M_LINE_AFTER_S|core.M_DASH_AFTER_S)
for shape in r:
self.assertEquals(core.STROKE_DASHED,shape.stype)
def test_render_stroke_types_mixed(self):
l = self.do_render(2,2,core.M_LINE_AFTER_E|core.M_DASH_AFTER_E
|core.M_LINE_AFTER_S)[0]
self.assertEquals(core.STROKE_SOLID,l.stype)
class TestLJumpPattern(unittest.TestCase,PatternTests):
def __init__(self,*args,**kargs):
unittest.TestCase.__init__(self,*args,**kargs)
self.pclass = patterns.LJumpPattern
def test_accepts_jump(self):
p = self.pclass()
p.test(main.CurrentChar(0,2,"(",core.M_LINE_AFTER_E|core.M_LINE_AFTER_S))
p.test(main.CurrentChar(0,3,"-",core.M_LINE_START_E))
feed_input(p,1,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(1,2,"|",core.M_LINE_START_S))
def test_expects_left_paren(self):
p = self.pclass()
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,2,"Q",core.M_LINE_AFTER_E|core.M_LINE_AFTER_S))
def test_expects_left_paren_unoccupied(self):
p = self.pclass()
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,2,"(",core.M_LINE_AFTER_E|core.M_LINE_AFTER_S
|core.M_OCCUPIED))
def test_expects_north_line_meta(self):
p = self.pclass()
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,2,"(",core.M_LINE_AFTER_E))
def test_expects_west_line_meta(self):
p = self.pclass()
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,2,"(",core.M_LINE_AFTER_S))
def test_expects_east_line_meta(self):
p = self.pclass()
p.test(main.CurrentChar(0,2,"(",core.M_LINE_AFTER_E|core.M_LINE_AFTER_S))
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,3,"-",core.M_OCCUPIED))
def test_expects_south_line_meta(self):
p = self.pclass()
p.test(main.CurrentChar(0,2,"(",core.M_LINE_AFTER_E|core.M_LINE_AFTER_S))
p.test(main.CurrentChar(0,3,"-",core.M_LINE_START_E|core.M_OCCUPIED))
feed_input(p,1,0," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(1,2,"|",core.M_OCCUPIED))
def test_ignores_line_characters(self):
p = self.pclass()
p.test(main.CurrentChar(0,2,"(",core.M_LINE_AFTER_E|core.M_LINE_AFTER_S))
p.test(main.CurrentChar(0,3,"Q",core.M_LINE_START_E|core.M_OCCUPIED))
feed_input(p,1,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(1,2,"Z",core.M_LINE_START_S|core.M_OCCUPIED))
def test_sets_correct_meta_flags(self):
p = self.pclass()
input = ((2, "(- \n"),
(0," " ),)
c = core.M_LINE_AFTER_E|core.M_LINE_AFTER_S
e = core.M_LINE_START_E
n = core.M_NONE
o = core.M_OCCUPIED
metain = (( c,e,n,n,),
(n,n, ),)
metaout = (( o,n,n,n,),
(n,n, ),)
for j,(startcol,line) in enumerate(input):
for i,char in enumerate(line):
mi = metain[j][i]
mo = metaout[j][i]
self.assertEquals(mo,p.test(main.CurrentChar(j,startcol+i,char,mi)))
def do_render(self,x,y,dashes):
p = self.pclass()
p.test(main.CurrentChar(y,x,"(",core.M_LINE_AFTER_E|core.M_LINE_AFTER_S
|(dashes & (core.M_DASH_AFTER_E|core.M_DASH_AFTER_S))))
p.test(main.CurrentChar(y,x+1,"-",core.M_LINE_START_E
| (dashes & core.M_DASH_START_E)))
feed_input(p,y+1,0," "*x)
try:
p.test(main.CurrentChar(y+1,x,"|",core.M_LINE_START_S
| (dashes & core.M_DASH_START_S)))
except StopIteration: pass
return p.render()
def test_render_returns_correct_shapes(self):
r = self.do_render(3,2,core.M_NONE)
self.assertEquals(2,len(r))
self.assertEquals(1,len(self.find_type(r,core.Line)))
self.assertEquals(1,len(self.find_type(r,core.Arc)))
def test_render_coordinates(self):
r = self.do_render(3,2,core.M_NONE)
l = self.find_type(r,core.Line)[0]
self.assertEquals((3,2.5),l.a)
self.assertEquals((4,2.5),l.b)
a = self.find_type(r,core.Arc)[0]
self.assertEquals((2.9,2),a.a)
self.assertEquals((4.1,3),a.b)
self.assertEquals(math.pi/2,a.start)
self.assertEquals(math.pi/2*3,a.end)
def test_render_coorinates_position(self):
r = self.do_render(6,5,core.M_NONE)
l = self.find_type(r,core.Line)[0]
self.assertEquals((6,5.5),l.a)
self.assertEquals((7,5.5),l.b)
a = self.find_type(r,core.Arc)[0]
self.assertEquals((5.9,5),a.a)
self.assertEquals((7.1,6),a.b)
self.assertEquals(math.pi/2,a.start)
self.assertEquals(math.pi/2*3,a.end)
def test_render_z(self):
r = self.do_render(3,2,core.M_NONE)
for shape in r:
self.assertEquals(0,shape.z)
def test_render_stroke_colour(self):
r = self.do_render(3,2,core.M_NONE)
for shape in r:
self.assertEquals(core.C_FOREGROUND,shape.stroke)
def test_render_stroke_width(self):
r = self.do_render(3,2,core.M_NONE)
for shape in r:
self.assertEquals(1,shape.w)
def test_render_stroke_style_solid(self):
r = self.do_render(3,2,core.M_NONE)
for shape in r:
self.assertEquals(core.STROKE_SOLID,shape.stype)
def test_render_stroke_style_dashed(self):
r = self.do_render(3,2,core.M_DASH_AFTER_E|core.M_DASH_AFTER_S
|core.M_DASH_START_E|core.M_DASH_START_S)
for shape in r:
self.assertEquals(core.STROKE_DASHED,shape.stype)
def test_render_stroke_style_mixed(self):
r = self.do_render(3,2,core.M_DASH_AFTER_E|core.M_DASH_AFTER_S)
for shape in r:
self.assertEquals(core.STROKE_SOLID,shape.stype)
def test_render_fill_colour(self):
a = self.find_type(self.do_render(3,2,core.M_NONE),core.Arc)[0]
self.assertEquals(None,a.fill)
class TestRJumpPattern(unittest.TestCase,PatternTests):
def __init__(self,*args,**kargs):
unittest.TestCase.__init__(self,*args,**kargs)
self.pclass = patterns.RJumpPattern
def test_accepts_jump(self):
p = self.pclass()
p.test(main.CurrentChar(0,2,")",core.M_LINE_AFTER_E|core.M_LINE_AFTER_S))
p.test(main.CurrentChar(0,3,"-",core.M_LINE_START_E))
feed_input(p,1,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(1,2,"|",core.M_LINE_START_S))
def test_expects_right_paren(self):
p = self.pclass()
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,2,"Q",core.M_LINE_AFTER_E|core.M_LINE_AFTER_S))
def test_expects_right_paren_unoccupied(self):
p = self.pclass()
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,2,")",core.M_LINE_AFTER_E|core.M_LINE_AFTER_S
|core.M_OCCUPIED))
def test_expects_north_line_meta(self):
p = self.pclass()
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,2,")",core.M_LINE_AFTER_E))
def test_expects_west_line_meta(self):
p = self.pclass()
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,2,")",core.M_LINE_AFTER_S))
def test_expects_east_line_meta(self):
p = self.pclass()
p.test(main.CurrentChar(0,2,")",core.M_LINE_AFTER_E|core.M_LINE_AFTER_S))
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,3,"-",core.M_OCCUPIED))
def test_expects_south_line_meta(self):
p = self.pclass()
p.test(main.CurrentChar(0,2,")",core.M_LINE_AFTER_E|core.M_LINE_AFTER_S))
p.test(main.CurrentChar(0,3,"-",core.M_LINE_START_E|core.M_OCCUPIED))
feed_input(p,1,0," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(1,2,"|",core.M_OCCUPIED))
def test_ignores_line_characters(self):
p = self.pclass()
p.test(main.CurrentChar(0,2,")",core.M_LINE_AFTER_E|core.M_LINE_AFTER_S))
p.test(main.CurrentChar(0,3,"Q",core.M_LINE_START_E|core.M_OCCUPIED))
feed_input(p,1,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(1,2,"Z",core.M_LINE_START_S|core.M_OCCUPIED))
def test_sets_correct_meta_flags(self):
p = self.pclass()
input = ((2, ")- \n"),
(0," " ),)
c = core.M_LINE_AFTER_E|core.M_LINE_AFTER_S
e = core.M_LINE_START_E
n = core.M_NONE
o = core.M_OCCUPIED
metain = (( c,e,n,n,),
(n,n, ),)
metaout = (( o,n,n,n,),
(n,n, ),)
for j,(startcol,line) in enumerate(input):
for i,char in enumerate(line):
mi = metain[j][i]
mo = metaout[j][i]
self.assertEquals(mo,p.test(main.CurrentChar(j,startcol+i,char,mi)))
def do_render(self,x,y,dashes):
p = self.pclass()
p.test(main.CurrentChar(y,x,")",core.M_LINE_AFTER_E|core.M_LINE_AFTER_S
|(dashes & (core.M_DASH_AFTER_E|core.M_DASH_AFTER_S))))
p.test(main.CurrentChar(y,x+1,"-",core.M_LINE_START_E
| (dashes & core.M_DASH_START_E)))
feed_input(p,y+1,0," "*x)
try:
p.test(main.CurrentChar(y+1,x,"|",core.M_LINE_START_S
| (dashes & core.M_DASH_START_S)))
except StopIteration: pass
return p.render()
def test_render_returns_correct_shapes(self):
r = self.do_render(3,2,core.M_NONE)
self.assertEquals(2,len(r))
self.assertEquals(1,len(self.find_type(r,core.Line)))
self.assertEquals(1,len(self.find_type(r,core.Arc)))
def test_render_coordinates(self):
r = self.do_render(3,2,core.M_NONE)
l = self.find_type(r,core.Line)[0]
self.assertEquals((3,2.5),l.a)
self.assertEquals((4,2.5),l.b)
a = self.find_type(r,core.Arc)[0]
self.assertEquals((2.9,2),a.a)
self.assertEquals((4.1,3),a.b)
self.assertEquals(-math.pi/2,a.start)
self.assertEquals(math.pi/2,a.end)
def test_render_coorinates_position(self):
r = self.do_render(6,5,core.M_NONE)
l = self.find_type(r,core.Line)[0]
self.assertEquals((6,5.5),l.a)
self.assertEquals((7,5.5),l.b)
a = self.find_type(r,core.Arc)[0]
self.assertEquals((5.9,5),a.a)
self.assertEquals((7.1,6),a.b)
self.assertEquals(-math.pi/2,a.start)
self.assertEquals(math.pi/2,a.end)
def test_render_z(self):
r = self.do_render(3,2,core.M_NONE)
for shape in r:
self.assertEquals(0,shape.z)
def test_render_stroke_colour(self):
r = self.do_render(3,2,core.M_NONE)
for shape in r:
self.assertEquals(core.C_FOREGROUND,shape.stroke)
def test_render_stroke_width(self):
r = self.do_render(3,2,core.M_NONE)
for shape in r:
self.assertEquals(1,shape.w)
def test_render_stroke_style_solid(self):
r = self.do_render(3,2,core.M_NONE)
for shape in r:
self.assertEquals(core.STROKE_SOLID,shape.stype)
def test_render_stroke_style_dashed(self):
r = self.do_render(3,2,core.M_DASH_AFTER_E|core.M_DASH_AFTER_S
|core.M_DASH_START_E|core.M_DASH_START_S)
for shape in r:
self.assertEquals(core.STROKE_DASHED,shape.stype)
def test_render_stroke_style_mixed(self):
r = self.do_render(3,2,core.M_DASH_AFTER_E|core.M_DASH_AFTER_S)
for shape in r:
self.assertEquals(core.STROKE_SOLID,shape.stype)
def test_render_fill_colour(self):
a = self.find_type(self.do_render(3,2,core.M_NONE),core.Arc)[0]
self.assertEquals(None,a.fill)
class TestUJumpPattern(unittest.TestCase,PatternTests):
def __init__(self,*args,**kargs):
unittest.TestCase.__init__(self,*args,**kargs)
self.pclass = patterns.UJumpPattern
def test_accepts_jump(self):
p = self.pclass()
p.test(main.CurrentChar(0,2,"^",core.M_LINE_AFTER_E|core.M_LINE_AFTER_S))
p.test(main.CurrentChar(0,3,"-",core.M_LINE_START_E))
feed_input(p,1,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(1,2,"|",core.M_LINE_START_S))
def test_expects_caret(self):
p = self.pclass()
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,2,"Q",core.M_LINE_AFTER_E|core.M_LINE_AFTER_S))
def test_expects_caret_unoccupied(self):
p = self.pclass()
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,2,"^",core.M_LINE_AFTER_E|core.M_LINE_AFTER_S
|core.M_OCCUPIED))
def test_expects_north_line_meta(self):
p = self.pclass()
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,2,"^",core.M_LINE_AFTER_E))
def test_expects_west_line_meta(self):
p = self.pclass()
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,2,"^",core.M_LINE_AFTER_S))
def test_expects_east_line_meta(self):
p = self.pclass()
p.test(main.CurrentChar(0,2,"^",core.M_LINE_AFTER_E|core.M_LINE_AFTER_S))
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(0,3,"-",core.M_OCCUPIED))
def test_expects_south_line_meta(self):
p = self.pclass()
p.test(main.CurrentChar(0,2,"^",core.M_LINE_AFTER_E|core.M_LINE_AFTER_S))
p.test(main.CurrentChar(0,3,"-",core.M_LINE_START_E|core.M_OCCUPIED))
feed_input(p,1,0," ")
with self.assertRaises(core.PatternRejected):
p.test(main.CurrentChar(1,2,"|",core.M_OCCUPIED))
def test_ignores_line_characters(self):
p = self.pclass()
p.test(main.CurrentChar(0,2,"^",core.M_LINE_AFTER_E|core.M_LINE_AFTER_S))
p.test(main.CurrentChar(0,3,"Q",core.M_LINE_START_E|core.M_OCCUPIED))
feed_input(p,1,0," ")
with self.assertRaises(StopIteration):
p.test(main.CurrentChar(1,2,"Z",core.M_LINE_START_S|core.M_OCCUPIED))
def test_sets_correct_meta_flags(self):
p = self.pclass()
input = ((2, "^- \n"),
(0," " ),)
c = core.M_LINE_AFTER_E|core.M_LINE_AFTER_S
e = core.M_LINE_START_E
n = core.M_NONE
o = core.M_OCCUPIED
metain = (( c,e,n,n,),
(n,n, ),)
metaout = (( o,n,n,n,),
(n,n, ),)
for j,(startcol,line) in enumerate(input):
for i,char in enumerate(line):
mi = metain[j][i]
mo = metaout[j][i]
self.assertEquals(mo,p.test(main.CurrentChar(j,startcol+i,char,mi)))
def do_render(self,x,y,dashes):
p = self.pclass()
p.test(main.CurrentChar(y,x,"^",core.M_LINE_AFTER_E|core.M_LINE_AFTER_S
|(dashes & (core.M_DASH_AFTER_E|core.M_DASH_AFTER_S))))
p.test(main.CurrentChar(y,x+1,"-",core.M_LINE_START_E
| (dashes & core.M_DASH_START_E)))
feed_input(p,y+1,0," "*x)
try:
p.test(main.CurrentChar(y+1,x,"|",core.M_LINE_START_S
| (dashes & core.M_DASH_START_S)))
except StopIteration: pass
return p.render()
def test_render_returns_correct_shapes(self):
r = self.do_render(3,2,core.M_NONE)
self.assertEquals(2,len(r))
self.assertEquals(1,len(self.find_type(r,core.Line)))
self.assertEquals(1,len(self.find_type(r,core.Arc)))
def test_render_coordinates(self):
r = self.do_render(3,2,core.M_NONE)
l = self.find_type(r,core.Line)[0]
self.assertEquals((3.5,2),l.a)
self.assertEquals((3.5,3),l.b)
a = self.find_type(r,core.Arc)[0]
self.assertEquals((3,2.1),a.a)
self.assertEquals((4,2.9),a.b)
self.assertEquals(math.pi/2*2,a.start)
self.assertEquals(math.pi/2*4,a.end)
def test_render_coorinates_position(self):
r = self.do_render(6,5,core.M_NONE)
l = self.find_type(r,core.Line)[0]
self.assertEquals((6.5,5),l.a)
self.assertEquals((6.5,6),l.b)
a = self.find_type(r,core.Arc)[0]
self.assertEquals((6,5.1),a.a)
self.assertEquals((7,5.9),a.b)
self.assertEquals(math.pi/2*2,a.start)
self.assertEquals(math.pi/2*4,a.end)
def test_render_z(self):
r = self.do_render(3,2,core.M_NONE)
for shape in r:
self.assertEquals(0,shape.z)
def test_render_stroke_colour(self):
r = self.do_render(3,2,core.M_NONE)
for shape in r:
self.assertEquals(core.C_FOREGROUND,shape.stroke)
def test_render_stroke_width(self):
r = self.do_render(3,2,core.M_NONE)
for shape in r:
self.assertEquals(1,shape.w)
def test_render_stroke_style_solid(self):
r = self.do_render(3,2,core.M_NONE)
for shape in r:
self.assertEquals(core.STROKE_SOLID,shape.stype)
def test_render_stroke_style_dashed(self):
r = self.do_render(3,2,core.M_DASH_AFTER_E|core.M_DASH_AFTER_S
|core.M_DASH_START_E|core.M_DASH_START_S)
for shape in r:
self.assertEquals(core.STROKE_DASHED,shape.stype)
def test_render_stroke_style_mixed(self):
r = self.do_render(3,2,core.M_DASH_AFTER_E|core.M_DASH_AFTER_S)
for shape in r:
self.assertEquals(core.STROKE_SOLID,shape.stype)
def test_render_fill_colour(self):
a = self.find_type(self.do_render(3,2,core.M_NONE),core.Arc)[0]
self.assertEquals(None,a.fill)
if __name__ == "__main__":
unittest.main()
| 38.420216 | 101 | 0.587551 | 21,044 | 142,539 | 3.751473 | 0.015491 | 0.055544 | 0.061561 | 0.136802 | 0.972399 | 0.970195 | 0.965901 | 0.962734 | 0.958516 | 0.956109 | 0 | 0.029816 | 0.262342 | 142,539 | 3,709 | 102 | 38.430574 | 0.721014 | 0.007535 | 0 | 0.887702 | 0 | 0 | 0.017292 | 0 | 0 | 0 | 0 | 0 | 0.187055 | 1 | 0.177994 | false | 0.006472 | 0.001942 | 0 | 0.19288 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
7517657c6d3c549b346bd5d5cb50d3e45fb55fde | 197 | py | Python | test/test_repeat_letters.py | m-brandon/WordHAL | 60acb818ac8f84abddd6223f97ba946e0e88dd68 | [
"MIT"
] | null | null | null | test/test_repeat_letters.py | m-brandon/WordHAL | 60acb818ac8f84abddd6223f97ba946e0e88dd68 | [
"MIT"
] | 4 | 2022-01-31T11:42:22.000Z | 2022-01-31T11:45:53.000Z | test/test_repeat_letters.py | m-brandon/WordHAL | 60acb818ac8f84abddd6223f97ba946e0e88dd68 | [
"MIT"
] | null | null | null | from app.choose_start_word import check_repeat_letter
def test_no_repeats():
assert check_repeat_letter("TEARS") == False
def test_repeat():
assert check_repeat_letter("HELLO") == True
| 19.7 | 53 | 0.761421 | 28 | 197 | 4.964286 | 0.642857 | 0.23741 | 0.366906 | 0.330935 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.142132 | 197 | 9 | 54 | 21.888889 | 0.822485 | 0 | 0 | 0 | 0 | 0 | 0.050761 | 0 | 0 | 0 | 0 | 0 | 0.4 | 1 | 0.4 | true | 0 | 0.2 | 0 | 0.6 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 8 |
753bc1807be0d6286322fb64090752a2dae59555 | 1,642 | py | Python | asaas/webhooks.py | marlonjsilva/asaas_sdk_python | 871a199e8156d9baa9f78972232feee38b0608bb | [
"MIT"
] | null | null | null | asaas/webhooks.py | marlonjsilva/asaas_sdk_python | 871a199e8156d9baa9f78972232feee38b0608bb | [
"MIT"
] | 4 | 2022-02-16T13:53:36.000Z | 2022-02-16T14:10:40.000Z | asaas/webhooks.py | marlonjsilva/asaas_sdk_python | 871a199e8156d9baa9f78972232feee38b0608bb | [
"MIT"
] | null | null | null | from asaas.typing import SyncAsync
from typing import Any, Optional, Dict
class Webhooks:
def __init__(self, parent: Any) -> None:
self.parent = parent
def create(self, webhook: dict, **kwargs: Any) -> SyncAsync[Any]:
return self.parent.request(
path="/webhook",
method="POST",
body=webhook,
auth=kwargs.get("auth"),
)
def list(
self, query: Optional[Dict[Any, Any]] = None, **kwars: Any
) -> SyncAsync[Any]:
return self.parent.request(
path="/webhook", method="GET", query=query, auth=kwars.get("auth")
)
def create_invoice(self, webhook: dict, **kwargs: Any) -> SyncAsync[Any]:
return self.parent.request(
path="/webhook/invoice",
method="POST",
body=webhook,
auth=kwargs.get("auth"),
)
def list_invoice(
self, query: Optional[Dict[Any, Any]] = None, **kwars: Any
) -> SyncAsync[Any]:
return self.parent.request(
path="/webhook/invoice", method="GET", query=query, auth=kwars.get("auth")
)
def create_transfer(self, webhook: dict, **kwargs: Any) -> SyncAsync[Any]:
return self.parent.request(
path="/webhook/transfer",
method="POST",
body=webhook,
auth=kwargs.get("auth"),
)
def list_transfer(
self, query: Optional[Dict[Any, Any]] = None, **kwars: Any
) -> SyncAsync[Any]:
return self.parent.request(
path="/webhook/transfer", method="GET", query=query, auth=kwars.get("auth")
)
| 30.981132 | 87 | 0.556638 | 180 | 1,642 | 5.033333 | 0.172222 | 0.0883 | 0.099338 | 0.139073 | 0.831126 | 0.831126 | 0.831126 | 0.831126 | 0.799117 | 0.799117 | 0 | 0 | 0.295981 | 1,642 | 53 | 88 | 30.981132 | 0.783737 | 0 | 0 | 0.477273 | 0 | 0 | 0.077298 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.159091 | false | 0 | 0.045455 | 0.136364 | 0.363636 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 7 |
755eb2d80c95d81072a439d11fc47302b7b2d056 | 39 | py | Python | samples/src/main/resources/datasets/python/20.py | sritchie/kotlingrad | 8165ed1cd77220a5347c58cded4c6f2bcf22ee30 | [
"Apache-2.0"
] | 11 | 2020-12-19T01:19:44.000Z | 2021-12-25T20:43:33.000Z | src/main/resources/datasets/python/20.py | breandan/katholic | 081c39f3acc73ff41f5865563debe78a36e1038f | [
"Apache-2.0"
] | null | null | null | src/main/resources/datasets/python/20.py | breandan/katholic | 081c39f3acc73ff41f5865563debe78a36e1038f | [
"Apache-2.0"
] | 2 | 2021-01-25T07:59:20.000Z | 2021-08-07T07:13:49.000Z | def power3():
return (2 ** 3) ** 4
| 13 | 24 | 0.461538 | 6 | 39 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.148148 | 0.307692 | 39 | 2 | 25 | 19.5 | 0.518519 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.5 | true | 0 | 0 | 0.5 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 7 |
f36885d4140ade133c81b5c94050995f4d56cfad | 14,548 | py | Python | scripts/slave/recipes/chromium.chromedriver.recipe_autogen.py | bopopescu/chromium-build | f8e42c70146c1b668421ee6358dc550a955770a3 | [
"BSD-3-Clause"
] | null | null | null | scripts/slave/recipes/chromium.chromedriver.recipe_autogen.py | bopopescu/chromium-build | f8e42c70146c1b668421ee6358dc550a955770a3 | [
"BSD-3-Clause"
] | null | null | null | scripts/slave/recipes/chromium.chromedriver.recipe_autogen.py | bopopescu/chromium-build | f8e42c70146c1b668421ee6358dc550a955770a3 | [
"BSD-3-Clause"
] | 1 | 2020-07-22T09:16:32.000Z | 2020-07-22T09:16:32.000Z | # Copyright 2016 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
DEPS = [
'chromium',
'depot_tools/bot_update',
'depot_tools/depot_tools',
'depot_tools/gclient',
'goma',
'recipe_engine/context',
'recipe_engine/json',
'recipe_engine/path',
'recipe_engine/properties',
'recipe_engine/python',
'recipe_engine/step',
]
def build_with_goma_module(api):
# chromedriver compile with goma module step
build_target_dir = str(api.path["checkout"].join("out", "Default"))
api.goma.build_with_goma(
name='compile',
ninja_command=[str(api.depot_tools.ninja_path),
'-C', build_target_dir,
'-j', api.goma.recommended_goma_jobs,
'chromedriver',
'chromedriver_tests',
'chromedriver_unittests'],
ninja_log_outdir=build_target_dir,
ninja_log_compiler='goma')
def Linux32_steps(api):
# update scripts step; implicitly run by recipe engine.
# bot_update step
src_cfg = api.gclient.make_config()
soln = src_cfg.solutions.add()
soln.name = "src"
soln.url = "https://chromium.googlesource.com/chromium/src.git"
soln.custom_deps = {'src/chrome/test/chromedriver/third_party/java_tests':
'https://chromium.googlesource.com/chromium/deps/webdriver'}
soln = src_cfg.solutions.add()
soln.name = "src-internal"
soln.url = "https://chrome-internal.googlesource.com/chrome/src-internal.git"
soln.custom_deps = {'src/chrome/test/data/firefox2_searchplugins': None,
'src/tools/grit/grit/test/data': None,
'src/chrome/test/data/firefox3_searchplugins': None,
'src/webkit/data/test_shell/plugins': None,
'src/data/page_cycler': None,
'src/data/mozilla_js_tests': None,
'src/chrome/test/data/firefox2_profile/searchplugins': None,
'src/data/esctf': None,
'src/data/memory_test': None,
'src/data/mach_ports': None,
'src/webkit/data/xbm_decoder': None,
'src/webkit/data/ico_decoder': None,
'src/data/selenium_core': None,
'src/chrome/test/data/ssl/certs': None,
'src/chrome/test/data/osdd': None,
'src/webkit/data/bmp_decoder': None,
'src/chrome/test/data/firefox3_profile/searchplugins': None,
'src/data/autodiscovery': None}
src_cfg.got_revision_mapping.update({'src': 'got_revision',
'src/third_party/WebKit': 'got_webkit_revision',
'src/tools/swarming_client': 'got_swarming_client_revision',
'src/v8': 'got_v8_revision'})
api.gclient.c = src_cfg
result = api.bot_update.ensure_checkout()
build_properties = api.properties.legacy()
build_properties.update(result.json.output.get('properties', {}))
# gclient update step; made unnecessary by bot_update
# gclient runhooks wrapper step
env = {'LANDMINES_VERBOSE': '1', 'DEPOT_TOOLS_UPDATE': '0'}
with api.context(env=env):
api.python("gclient runhooks wrapper", api.package_repo_resource("scripts",
"slave", "runhooks_wrapper.py"))
# meta build step
goma_dir = api.goma.ensure_goma()
api.python("meta build", api.path["checkout"].join("tools", "mb", "mb.py"),
args=["gen", "-m", "chromium.chromedriver", "-b",
build_properties.get('buildername'), "--goma-dir", goma_dir,
"//out/Default"])
build_with_goma_module(api)
# strip binary
api.m.step('strip', cmd=['strip', str(api.path['checkout'].join(
'out', 'Default', 'chromedriver'))])
# annotated_steps step
api.python("annotated_steps", api.package_repo_resource("scripts", "slave",
"chromium", "chromedriver_buildbot_run.py"),
args=['--build-properties=%s' % api.json.dumps(build_properties,
separators=(',', ':')), '--factory-properties={"annotated_script":'+\
'"chromedriver_buildbot_run.py","blink_config":"chromium",'+\
'"gclient_env":{"DEPOT_TOOLS_UPDATE":"0","LANDMINES_VERBOSE":'+\
'"1"},"needs_webdriver_java_tests":true,"use_xvfb_on_linux":true}'],
allow_subannotations=True)
def Mac_10_6_steps(api):
# update scripts step; implicitly run by recipe engine.
# bot_update step
src_cfg = api.gclient.make_config()
soln = src_cfg.solutions.add()
soln.name = "src"
soln.url = "https://chromium.googlesource.com/chromium/src.git"
soln.custom_deps = {'src/chrome/test/chromedriver/third_party/java_tests':
'https://chromium.googlesource.com/chromium/deps/webdriver'}
soln = src_cfg.solutions.add()
soln.name = "src-internal"
soln.url = "https://chrome-internal.googlesource.com/chrome/src-internal.git"
soln.custom_deps = {'src/chrome/test/data/firefox2_searchplugins': None,
'src/tools/grit/grit/test/data': None,
'src/chrome/test/data/firefox3_searchplugins': None,
'src/webkit/data/test_shell/plugins': None,
'src/data/page_cycler': None,
'src/data/mozilla_js_tests': None,
'src/chrome/test/data/firefox2_profile/searchplugins': None,
'src/data/esctf': None,
'src/data/memory_test': None,
'src/data/mach_ports': None,
'src/webkit/data/xbm_decoder': None,
'src/webkit/data/ico_decoder': None,
'src/data/selenium_core': None,
'src/chrome/test/data/ssl/certs': None,
'src/chrome/test/data/osdd': None,
'src/webkit/data/bmp_decoder': None,
'src/chrome/test/data/firefox3_profile/searchplugins': None,
'src/data/autodiscovery': None}
src_cfg.got_revision_mapping.update({'src': 'got_revision',
'src/third_party/WebKit': 'got_webkit_revision',
'src/tools/swarming_client': 'got_swarming_client_revision',
'src/v8': 'got_v8_revision'})
api.gclient.c = src_cfg
result = api.bot_update.ensure_checkout()
build_properties = api.properties.legacy()
build_properties.update(result.json.output.get('properties', {}))
# gclient update step; made unnecessary by bot_update
# gclient runhooks wrapper step
env = {'LANDMINES_VERBOSE': '1', 'DEPOT_TOOLS_UPDATE': '0'}
with api.context(env=env):
api.python("gclient runhooks wrapper", api.package_repo_resource("scripts",
"slave", "runhooks_wrapper.py"))
# meta build step
goma_dir = api.goma.ensure_goma()
api.python("meta build", api.path["checkout"].join("tools", "mb", "mb.py"),
args=["gen", "-m", "chromium.chromedriver", "-b",
build_properties.get('buildername'), "--goma-dir", goma_dir,
"//out/Default"])
build_with_goma_module(api)
# strip binary
api.m.step('strip', cmd=['strip', str(api.path['checkout'].join(
'out', 'Default', 'chromedriver'))])
# annotated_steps step
api.python("annotated_steps", api.package_repo_resource("scripts", "slave",
"chromium", "chromedriver_buildbot_run.py"),
args=['--build-properties=%s' % api.json.dumps(build_properties,
separators=(',', ':')), '--factory-properties={"annotated_script":"c'+\
'hromedriver_buildbot_run.py","blink_config":"chromium","gclient_e'+\
'nv":{"DEPOT_TOOLS_UPDATE":"0","LANDMINES_VERBOSE":"1"},"ne'+\
'eds_webdriver_java_tests":true}'], allow_subannotations=True)
def Win7_steps(api):
# update scripts step; implicitly run by recipe engine.
# taskkill step
api.python("taskkill", api.package_repo_resource("scripts", "slave",
"kill_processes.py"))
# bot_update step
src_cfg = api.gclient.make_config()
soln = src_cfg.solutions.add()
soln.name = "src"
soln.url = "https://chromium.googlesource.com/chromium/src.git"
soln.custom_deps = {'src/chrome/test/chromedriver/third_party/java_tests':
'https://chromium.googlesource.com/chromium/deps/webdriver'}
soln = src_cfg.solutions.add()
soln.name = "src-internal"
soln.url = "https://chrome-internal.googlesource.com/chrome/src-internal.git"
soln.custom_deps = {'src/chrome/test/data/firefox2_searchplugins': None,
'src/tools/grit/grit/test/data': None,
'src/chrome/test/data/firefox3_searchplugins': None,
'src/webkit/data/test_shell/plugins': None,
'src/data/page_cycler': None,
'src/data/mozilla_js_tests': None,
'src/chrome/test/data/firefox2_profile/searchplugins': None,
'src/data/esctf': None,
'src/data/memory_test': None,
'src/data/mach_ports': None,
'src/webkit/data/xbm_decoder': None,
'src/webkit/data/ico_decoder': None,
'src/data/selenium_core': None,
'src/chrome/test/data/ssl/certs': None,
'src/chrome/test/data/osdd': None,
'src/webkit/data/bmp_decoder': None,
'src/chrome/test/data/firefox3_profile/searchplugins': None,
'src/data/autodiscovery': None}
src_cfg.got_revision_mapping.update({'src': 'got_revision',
'src/third_party/WebKit': 'got_webkit_revision',
'src/tools/swarming_client': 'got_swarming_client_revision',
'src/v8': 'got_v8_revision'})
api.gclient.c = src_cfg
result = api.bot_update.ensure_checkout()
build_properties = api.properties.legacy()
build_properties.update(result.json.output.get('properties', {}))
# gclient update step; made unnecessary by bot_update
# gclient runhooks wrapper step
env = {'LANDMINES_VERBOSE': '1', 'DEPOT_TOOLS_UPDATE': '0'}
with api.context(env=env):
api.python("gclient runhooks wrapper", api.package_repo_resource("scripts",
"slave", "runhooks_wrapper.py"))
# meta build step
goma_dir = api.goma.ensure_goma()
api.python("meta build", api.path["checkout"].join("tools", "mb", "mb.py"),
args=["gen", "-m", "chromium.chromedriver", "-b",
build_properties.get('buildername'), "--goma-dir", goma_dir,
"//out/Default"])
build_with_goma_module(api)
# annotated_steps step
api.step("annotated_steps", ["python_slave", api.package_repo_resource("scripts",
"slave", "chromium", "chromedriver_buildbot_run.py"),
'--build-properties=%s' % api.json.dumps(build_properties,
separators=(',', ':')), '--factory-properties={"annotated_script":"chro'+\
'medriver_buildbot_run.py","blink_config":"chromium","gclient_env":'+\
'{"DEPOT_TOOLS_UPDATE":"0","LANDMINES_VERBOSE":"1"},"needs_'+\
'webdriver_java_tests":true}'], allow_subannotations=True)
def Linux_steps(api):
# update scripts step; implicitly run by recipe engine.
# bot_update step
src_cfg = api.gclient.make_config()
soln = src_cfg.solutions.add()
soln.name = "src"
soln.url = "https://chromium.googlesource.com/chromium/src.git"
soln.custom_deps = {'src/chrome/test/chromedriver/third_party/java_tests':
'https://chromium.googlesource.com/chromium/deps/webdriver'}
soln = src_cfg.solutions.add()
soln.name = "src-internal"
soln.url = "https://chrome-internal.googlesource.com/chrome/src-internal.git"
soln.custom_deps = {'src/chrome/test/data/firefox2_searchplugins': None,
'src/tools/grit/grit/test/data': None,
'src/chrome/test/data/firefox3_searchplugins': None,
'src/webkit/data/test_shell/plugins': None,
'src/data/page_cycler': None,
'src/data/mozilla_js_tests': None,
'src/chrome/test/data/firefox2_profile/searchplugins': None,
'src/data/esctf': None,
'src/data/memory_test': None,
'src/data/mach_ports': None,
'src/webkit/data/xbm_decoder': None,
'src/webkit/data/ico_decoder': None,
'src/data/selenium_core': None,
'src/chrome/test/data/ssl/certs': None,
'src/chrome/test/data/osdd': None,
'src/webkit/data/bmp_decoder': None,
'src/chrome/test/data/firefox3_profile/searchplugins': None,
'src/data/autodiscovery': None}
src_cfg.got_revision_mapping.update({'src': 'got_revision',
'src/third_party/WebKit': 'got_webkit_revision',
'src/tools/swarming_client': 'got_swarming_client_revision',
'src/v8': 'got_v8_revision'})
api.gclient.c = src_cfg
result = api.bot_update.ensure_checkout()
build_properties = api.properties.legacy()
build_properties.update(result.json.output.get('properties', {}))
# gclient update step; made unnecessary by bot_update
# gclient runhooks wrapper step
env = {'LANDMINES_VERBOSE': '1', 'DEPOT_TOOLS_UPDATE': '0'}
with api.context(env=env):
api.python("gclient runhooks wrapper", api.package_repo_resource("scripts",
"slave", "runhooks_wrapper.py"))
# meta build step
goma_dir = api.goma.ensure_goma()
api.python("meta build", api.path["checkout"].join("tools", "mb", "mb.py"),
args=["gen", "-m", "chromium.chromedriver", "-b",
build_properties.get('buildername'), "--goma-dir", goma_dir,
"//out/Default"])
build_with_goma_module(api)
# strip binary
api.m.step('strip', cmd=['strip', str(api.path['checkout'].join(
'out', 'Default', 'chromedriver'))])
# annotated_steps step
api.python("annotated_steps", api.package_repo_resource("scripts", "slave",
"chromium", "chromedriver_buildbot_run.py"),
args=['--build-properties=%s' % api.json.dumps(build_properties,
separators=(',', ':')), '--factory-properties={"annotated_script":"chro'+\
'medriver_buildbot_run.py","blink_config":"chromium","gclient_env":'+\
'{"DEPOT_TOOLS_UPDATE":"0","LANDMINES_VERBOSE":"1"},"needs_webdrive'+\
'r_java_tests":true,"use_xvfb_on_linux":true}'],
allow_subannotations=True)
dispatch_directory = {
'Linux32': Linux32_steps,
'Mac 10.6': Mac_10_6_steps,
'Win7': Win7_steps,
'Linux': Linux_steps,
}
def RunSteps(api):
if api.properties["buildername"] not in dispatch_directory:
raise api.step.StepFailure("Builder unsupported by recipe.")
else:
dispatch_directory[api.properties["buildername"]](api)
def GenTests(api):
yield (api.test('Linux32') +
api.properties(mastername='chromium.chromedriver') +
api.properties(buildername='Linux32') +
api.properties(bot_id='TestSlave')
)
yield (api.test('Mac_10_6') +
api.properties(mastername='chromium.chromedriver') +
api.properties(buildername='Mac 10.6') +
api.properties(bot_id='TestSlave')
)
yield (api.test('Win7') +
api.properties(mastername='chromium.chromedriver') +
api.properties(buildername='Win7') +
api.properties(bot_id='TestSlave')
)
yield (api.test('Linux') +
api.properties(mastername='chromium.chromedriver') +
api.properties(buildername='Linux') +
api.properties(bot_id='TestSlave')
)
yield (api.test('builder_not_in_dispatch_directory') +
api.properties(mastername='chromium.chromedriver') +
api.properties(buildername='nonexistent_builder') +
api.properties(bot_id='TestSlave')
)
| 42.788235 | 83 | 0.685867 | 1,861 | 14,548 | 5.164965 | 0.108544 | 0.052434 | 0.037869 | 0.042447 | 0.888577 | 0.881918 | 0.878381 | 0.867457 | 0.808677 | 0.808677 | 0 | 0.005989 | 0.150674 | 14,548 | 339 | 84 | 42.914454 | 0.771933 | 0.069219 | 0 | 0.742958 | 0 | 0 | 0.467649 | 0.273616 | 0 | 0 | 0 | 0 | 0 | 1 | 0.024648 | false | 0 | 0 | 0 | 0.024648 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
f381ab328d509f2b3d29126820729a84430ef71f | 110 | py | Python | nevermore/model/module/__init__.py | mmmmmddddd/nevermore | 8ee8904e5bb84184dcb543cec4ca04dc26c6efea | [
"Apache-2.0"
] | 2 | 2021-08-30T09:08:24.000Z | 2021-09-25T16:07:04.000Z | nevermore/model/module/__init__.py | mmmmmddddd/nevermore | 8ee8904e5bb84184dcb543cec4ca04dc26c6efea | [
"Apache-2.0"
] | 3 | 2021-08-30T08:47:04.000Z | 2021-08-31T11:25:26.000Z | nevermore/model/module/__init__.py | mmmmmddddd/nevermore | 8ee8904e5bb84184dcb543cec4ca04dc26c6efea | [
"Apache-2.0"
] | null | null | null | from .multi_segnet_nyuv2 import MultiSegnetNYUv2Model
from .single_segnet_nyuv2 import SingleSegnetNYUv2Model
| 36.666667 | 55 | 0.909091 | 12 | 110 | 8 | 0.666667 | 0.229167 | 0.354167 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.039216 | 0.072727 | 110 | 2 | 56 | 55 | 0.901961 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
3410bfb28b48cd546eba1eb1e399ac03697ce485 | 189 | py | Python | tests/__init__.py | gql-alchemy/gql-alchemy | 6f370311c9d7f53037f9d0326669a1a8c13de818 | [
"MIT"
] | null | null | null | tests/__init__.py | gql-alchemy/gql-alchemy | 6f370311c9d7f53037f9d0326669a1a8c13de818 | [
"MIT"
] | null | null | null | tests/__init__.py | gql-alchemy/gql-alchemy | 6f370311c9d7f53037f9d0326669a1a8c13de818 | [
"MIT"
] | null | null | null | from .documentation_examples_test import *
from .executor_test import *
from .introspection_test import *
from .parser_test import *
from .types_test import *
from .validator_test import *
| 27 | 42 | 0.809524 | 25 | 189 | 5.84 | 0.4 | 0.410959 | 0.479452 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.126984 | 189 | 6 | 43 | 31.5 | 0.884848 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
34160086bbe898d3ffc5ed13c0ee828c71231660 | 103 | py | Python | codigo/desafio_iafront/jobs/particiona_dados/__init__.py | mattyws/desafio-iafront | 72514b162acc9e13c2d0c8f0edcac652254ef2ce | [
"MIT"
] | null | null | null | codigo/desafio_iafront/jobs/particiona_dados/__init__.py | mattyws/desafio-iafront | 72514b162acc9e13c2d0c8f0edcac652254ef2ce | [
"MIT"
] | null | null | null | codigo/desafio_iafront/jobs/particiona_dados/__init__.py | mattyws/desafio-iafront | 72514b162acc9e13c2d0c8f0edcac652254ef2ce | [
"MIT"
] | null | null | null | from desafio_iafront.jobs.particiona_dados.particiona_conversao.job import particiona_conversao_cluster | 103 | 103 | 0.932039 | 13 | 103 | 7 | 0.769231 | 0.417582 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.029126 | 103 | 1 | 103 | 103 | 0.91 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
1b31b8c36f2f05b6bd1ccf86b2aa815f80123b10 | 236 | py | Python | quadboost/utils/__init__.py | jsleb333/quadboost | b4b980ff4af727d5cec0348484a34f34e82168cd | [
"MIT"
] | 1 | 2018-08-27T22:56:30.000Z | 2018-08-27T22:56:30.000Z | quadboost/utils/__init__.py | jsleb333/quadboost | b4b980ff4af727d5cec0348484a34f34e82168cd | [
"MIT"
] | null | null | null | quadboost/utils/__init__.py | jsleb333/quadboost | b4b980ff4af727d5cec0348484a34f34e82168cd | [
"MIT"
] | null | null | null | try:
from misc import *
from timed import timed
from comparable_mixin import ComparableMixin
except ModuleNotFoundError:
from .misc import *
from .timed import timed
from .comparable_mixin import ComparableMixin
| 26.222222 | 49 | 0.754237 | 27 | 236 | 6.518519 | 0.37037 | 0.090909 | 0.159091 | 0.204545 | 0.840909 | 0.840909 | 0.840909 | 0.840909 | 0.840909 | 0.840909 | 0 | 0 | 0.216102 | 236 | 8 | 50 | 29.5 | 0.951351 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.75 | 0 | 0.75 | 0 | 1 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 12 |
1b4934840f40d9516c16d049ce174cfa691185e0 | 2,848 | py | Python | test/strings/format9.py | kylebarron/MagicPython | da6fa0793e2c85d3bf7709ff1d4f65ccf468db11 | [
"MIT"
] | 1,482 | 2015-10-16T21:59:32.000Z | 2022-03-30T11:44:40.000Z | test/strings/format9.py | kylebarron/MagicPython | da6fa0793e2c85d3bf7709ff1d4f65ccf468db11 | [
"MIT"
] | 226 | 2015-10-15T15:53:44.000Z | 2022-03-25T03:08:27.000Z | test/strings/format9.py | kylebarron/MagicPython | da6fa0793e2c85d3bf7709ff1d4f65ccf468db11 | [
"MIT"
] | 129 | 2015-10-20T02:41:49.000Z | 2022-03-22T01:44:36.000Z | a = 'blah {foo-bar %d'
a = 'blah {foo-bar %d}'
a = 'blah {foo-bar %d //insane {}}'
a = '{}blah {foo-bar %d //insane {}}'
a : source.python
: source.python
= : keyword.operator.assignment.python, source.python
: source.python
' : punctuation.definition.string.begin.python, source.python, string.quoted.single.python
blah {foo-bar : source.python, string.quoted.single.python
%d : constant.character.format.placeholder.other.python, meta.format.percent.python, source.python, string.quoted.single.python
' : punctuation.definition.string.end.python, source.python, string.quoted.single.python
a : source.python
: source.python
= : keyword.operator.assignment.python, source.python
: source.python
' : punctuation.definition.string.begin.python, source.python, string.quoted.single.python
blah : source.python, string.quoted.single.python
{foo-bar : source.python, string.quoted.single.python
%d : constant.character.format.placeholder.other.python, meta.format.percent.python, source.python, string.quoted.single.python
} : source.python, string.quoted.single.python
' : punctuation.definition.string.end.python, source.python, string.quoted.single.python
a : source.python
: source.python
= : keyword.operator.assignment.python, source.python
: source.python
' : punctuation.definition.string.begin.python, source.python, string.quoted.single.python
blah : source.python, string.quoted.single.python
{foo-bar : source.python, string.quoted.single.python
%d : constant.character.format.placeholder.other.python, meta.format.percent.python, source.python, string.quoted.single.python
//insane {}} : source.python, string.quoted.single.python
' : punctuation.definition.string.end.python, source.python, string.quoted.single.python
a : source.python
: source.python
= : keyword.operator.assignment.python, source.python
: source.python
' : punctuation.definition.string.begin.python, source.python, string.quoted.single.python
{} : constant.character.format.placeholder.other.python, meta.format.brace.python, source.python, string.quoted.single.python
blah : source.python, string.quoted.single.python
{foo-bar : source.python, string.quoted.single.python
%d : constant.character.format.placeholder.other.python, meta.format.percent.python, source.python, string.quoted.single.python
//insane {}} : source.python, string.quoted.single.python
' : punctuation.definition.string.end.python, source.python, string.quoted.single.python
| 60.595745 | 138 | 0.666433 | 320 | 2,848 | 5.93125 | 0.08125 | 0.246575 | 0.246575 | 0.290832 | 0.997366 | 0.997366 | 0.997366 | 0.984721 | 0.955743 | 0.955743 | 0 | 0 | 0.210674 | 2,848 | 46 | 139 | 61.913043 | 0.844306 | 0 | 0 | 0.837209 | 0 | 0.209302 | 0.032654 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 12 |
1b71c5801ca8cf0a465b78b395e4fda677c62d4c | 15,776 | py | Python | Teste.py | viniciusbarbosapaiva/my_classes_python | cb56408346d20720ba70c7d6c7071d771463df5b | [
"MIT"
] | null | null | null | Teste.py | viniciusbarbosapaiva/my_classes_python | cb56408346d20720ba70c7d6c7071d771463df5b | [
"MIT"
] | null | null | null | Teste.py | viniciusbarbosapaiva/my_classes_python | cb56408346d20720ba70c7d6c7071d771463df5b | [
"MIT"
] | null | null | null | from My_Classification_Class import MyClassificationClass
from sklearn.datasets import load_iris,load_breast_cancer
import numpy as np
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LogisticRegression
from sklearn.metrics import confusion_matrix,accuracy_score, f1_score, precision_score, recall_score, roc_auc_score, multilabel_confusion_matrix
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn.neighbors import KNeighborsClassifier
from sklearn.svm import SVC
from sklearn.naive_bayes import GaussianNB
from sklearn.tree import DecisionTreeClassifier
from sklearn import tree
from sklearn.ensemble import RandomForestClassifier
from sklearn.ensemble import AdaBoostClassifier
from sklearn.ensemble import GradientBoostingClassifier
from xgboost import XGBClassifier
from sklearn.ensemble import VotingClassifier
import time
time.strftime("%H:%M:%S",time.gmtime(948.9148545265198))
cancer = load_breast_cancer()
cancer.items()
df = pd.DataFrame(cancer['data'],columns=cancer['feature_names'])
df['target'] = cancer['target']
X = df.drop('target', axis=1)
y = df['target']
training = MyClassificationClass(stratify=y,binary=True)
X_train,X_test,y_train,y_test = training.TrainTestSet(X,y)
results,y_pred,proba,all_estimator = training.AllEstimatorsTito(X_train,X_test,y_train,y_test)
training.ConfusionMatrixTito(y_test,y_pred)
training.ROCTito(all_estimator,X_train,X_test,y_train,y_test)
training.PrecisionRecallTito(all_estimator,X_train,X_test,y_train,y_test)
training.ClassPredictionErrorTito(all_estimator,X_train,X_test,y_train,y_test)
training.DiscriminationThresholdrTito(all_estimator,X_train,X_test,y_train,y_test)
training.LearningCurveTito(all_estimator, X_train,y_train, 'accuracy')
training.ValidationCurveTito(all_estimator, X_train,y_train, 'gamma', 'accuracy')
################################################################################
lr_classifier = LogisticRegression(random_state = 0, penalty = 'l2')
kn_classifier = KNeighborsClassifier(n_neighbors=15, metric='minkowski', p= 2)
svm_linear_classifier = SVC(random_state = 0, kernel = 'linear', probability= True)
svm_rbf_classifier= SVC(random_state = 0, kernel = 'rbf', probability= True)
gb_classifier = GaussianNB()
dt_classifier = DecisionTreeClassifier(criterion='entropy', random_state=0)
rf_classifier = RandomForestClassifier(random_state = 0, n_estimators = 100, criterion = 'gini')
ad_classifier = AdaBoostClassifier()
gr_classifier = GradientBoostingClassifier()
xg_classifier = XGBClassifier()
model = [('Logistic Regression (Lasso)', lr_classifier),
('K-Nearest Neighbors (minkowski)', kn_classifier),
('SVM (Linear)', svm_linear_classifier),
('SVM (RBF)', svm_rbf_classifier),
('Naive Bayes (Gaussian)', gb_classifier),
('Decision Tree', dt_classifier),
('Random Forest Gini (n=100)', rf_classifier),
('Ada Boosting', ad_classifier),
('Gradient Boosting', gr_classifier),
('Xg Boosting', xg_classifier)]
results = pd.DataFrame()
proba = []
y_predict = []
for models, estimator in model:
if models == 'K-Nearest Neighbors (minkowski)':
error_rate= []
for i in np.arange(1,40):
knn = KNeighborsClassifier(n_neighbors=i)
knn.fit(X_train, y_train)
pred_i = knn.predict(X_test)
error_rate.append(np.mean(pred_i != y_test))
n_neighbors = pd.DataFrame({'K':np.arange(1,40),
'Error_Rate':error_rate})
n_neighbors = n_neighbors['Error_Rate'].argmin()
print("The smallest error was with 'K' = {}".format(n_neighbors))
estimator.fit(X_train, y_train)
y_pred = estimator.predict(X_test)
probability = estimator.predict_proba(X_test)
acc = accuracy_score(y_test, y_pred)
prec = precision_score(y_test, y_pred)
rec = recall_score(y_test, y_pred)
f1 = f1_score(y_test, y_pred)
roc = roc_auc_score(y_test, y_pred)
model_results = pd.DataFrame([[models, acc, prec, rec, f1,roc]],
columns = ['Model', 'Accuracy', 'Precision', 'Recall', 'F1 Score', 'ROC Score'])
results = results.append(model_results, ignore_index = True)
proba.append((models,probability))
y_predict.append((models,list(y_pred)))
else:
estimator.fit(X_train, y_train)
y_pred = estimator.predict(X_test)
probability = estimator.predict_proba(X_test)
acc = accuracy_score(y_test, y_pred)
prec = precision_score(y_test, y_pred)
rec = recall_score(y_test, y_pred)
f1 = f1_score(y_test, y_pred)
roc = roc_auc_score(y_test, y_pred)
model_results = pd.DataFrame([[models, acc, prec, rec, f1,roc]],
columns = ['Model', 'Accuracy', 'Precision', 'Recall', 'F1 Score', 'ROC Score'])
results = results.append(model_results, ignore_index = True)
proba.append((models,probability))
y_predict.append((models,list(y_pred)))
print("Not 'K-Nearest Neighbors (minkowski)'")
voting_classifier = VotingClassifier(estimators= [('lr', lr_classifier),
('kn', kn_classifier),
('svc_linear', svm_linear_classifier),
('svc_rbf', svm_rbf_classifier),
('gb', gb_classifier),
('dt', dt_classifier),
('rf', rf_classifier),
('ad', ad_classifier),
('gr', gr_classifier),
('xg', xg_classifier),],
voting='soft')
for clf in (lr_classifier,kn_classifier,svm_linear_classifier,svm_rbf_classifier,
gb_classifier, dt_classifier,rf_classifier, ad_classifier, gr_classifier, xg_classifier,
voting_classifier):
clf.fit(X_train,y_train)
y_pred = clf.predict(X_test)
print(clf.__class__.__name__, accuracy_score(y_test, y_pred))
# Predicting Test Set
y_pred = voting_classifier.predict(X_test)
probability = estimator.predict_proba(X_test)
acc = accuracy_score(y_test, y_pred)
prec = precision_score(y_test, y_pred)
rec = recall_score(y_test, y_pred)
f1 = f1_score(y_test, y_pred)
roc = roc_auc_score(y_test, y_pred)
model_results = pd.DataFrame([['Ensemble Voting', acc, prec, rec, f1, roc]],
columns = ['Model', 'Accuracy', 'Precision', 'Recall', 'F1 Score', 'ROC Score'])
results = results.append(model_results, ignore_index = True)
proba.append(('Ensemble Voting',probability))
y_predict.append(('Ensemble Voting',list(y_pred)))
#The Best Classifier
the_best_estimator = results.sort_values(by='Accuracy',ascending=False).head(5)
print('The best classifier was:')
print('{}'.format(the_best_estimator))
y_pred = pd.DataFrame(y_predict, columns=['Model', 'y_pred'])
y_pred[y_pred['Model']==the_best_estimator.iloc[0,0]]['y_pred']
y_pred_final = y_pred[y_pred['Model']==the_best_estimator.iloc[0,0]]['y_pred']
y_pred_final = list(y_pred_final)
y_pred_final[0]
proba = pd.DataFrame(proba, columns=['Model', 'Proba'])
proba[proba['Model']==the_best_estimator.iloc[0,0]]['Proba']
proba_final = proba[proba['Model']==the_best_estimator.iloc[0,0]]['Proba']
proba_final = list(proba_final)
proba_final[0]
model_df = pd.DataFrame(model, columns=['Model', 'Estimator'])
model_df[model_df['Model']==the_best_estimator.iloc[0,0]]['Estimator']
model_df_final = model_df[model_df['Model']==the_best_estimator.iloc[0,0]]['Estimator']
model_df_final = list(model_df_final)
model_df_final[0]
training.ConfusionMatrixTito(y_test,y_pred_final[0])
training.ROCTito(model_df_final[0],X_train,X_test,y_train,y_test)
###################################################################################################
iris = load_iris()
iris.items()
df2 = pd.DataFrame(iris['data'],columns=iris['feature_names'])
df2['target'] = iris['target']
X = df2.drop('target', axis=1)
y = df2['target']
training = MyClassificationClass(stratify=y,binary=False)
X_train,X_test,y_train,y_test = training.TrainTestSet(X,y)
results,y_pred,proba,all_estimator = training.AllEstimatorsTito(X_train,X_test,y_train,y_test)
training.ConfusionMatrixTito(y_test,y_pred)
training.ROCTito(all_estimator,X_train,X_test,y_train,y_test)
training.PrecisionRecallTito(all_estimator,X_train,X_test,y_train,y_test)
training.ClassPredictionErrorTito(all_estimator,X_train,X_test,y_train,y_test)
training.DiscriminationThresholdrTito(all_estimator,X_train,X_test,y_train,y_test)
training.LearningCurveTito(all_estimator, X_train,y_train, 'accuracy')
training.ValidationCurveTito(all_estimator, X_train,y_train, 'C', 'accuracy')
###########################################################################################
lr_classifier = LogisticRegression(random_state = 0, penalty = 'l2')
kn_classifier = KNeighborsClassifier(n_neighbors=15, metric='minkowski', p= 2)
svm_linear_classifier = SVC(random_state = 0, kernel = 'linear', probability= True)
svm_rbf_classifier= SVC(random_state = 0, kernel = 'rbf', probability= True)
gb_classifier = GaussianNB()
dt_classifier = DecisionTreeClassifier(criterion='entropy', random_state=0)
rf_classifier = RandomForestClassifier(random_state = 0, n_estimators = 100, criterion = 'gini')
ad_classifier = AdaBoostClassifier()
gr_classifier = GradientBoostingClassifier()
xg_classifier = XGBClassifier()
model = [('Logistic Regression (Lasso)', lr_classifier),
('K-Nearest Neighbors (minkowski)', kn_classifier),
('SVM (Linear)', svm_linear_classifier),
('SVM (RBF)', svm_rbf_classifier),
('Naive Bayes (Gaussian)', gb_classifier),
('Decision Tree', dt_classifier),
('Random Forest Gini (n=100)', rf_classifier),
('Ada Boosting', ad_classifier),
('Gradient Boosting', gr_classifier),
('Xg Boosting', xg_classifier)]
results = pd.DataFrame()
proba = []
y_predict = []
for models, estimator in model:
if models == 'K-Nearest Neighbors (minkowski)':
error_rate= []
for i in np.arange(1,40):
knn = KNeighborsClassifier(n_neighbors=i)
knn.fit(X_train, y_train)
pred_i = knn.predict(X_test)
error_rate.append(np.mean(pred_i != y_test))
n_neighbors = pd.DataFrame({'K':np.arange(1,40),
'Error_Rate':error_rate})
n_neighbors = n_neighbors['Error_Rate'].argmin()
print("The smallest error was with 'K' = {}".format(n_neighbors))
estimator.fit(X_train, y_train)
y_pred = estimator.predict(X_test)
probability = estimator.predict_proba(X_test)
acc = accuracy_score(y_test, y_pred)
prec = precision_score(y_test, y_pred, average='micro')
rec = recall_score(y_test, y_pred, average='micro')
f1 = f1_score(y_test, y_pred, average='macro')
roc = roc_auc_score(y_test, probability, multi_class='ovr')
model_results = pd.DataFrame([[models, acc, prec, rec, f1,roc]],
columns = ['Model', 'Accuracy', 'Precision', 'Recall', 'F1 Score', 'ROC Score'])
results = results.append(model_results, ignore_index = True)
proba.append((models,probability))
y_predict.append((models,list(y_pred)))
else:
estimator.fit(X_train, y_train)
y_pred = estimator.predict(X_test)
probability = estimator.predict_proba(X_test)
acc = accuracy_score(y_test, y_pred)
prec = precision_score(y_test, y_pred, average='micro')
rec = recall_score(y_test, y_pred, average='micro')
f1 = f1_score(y_test, y_pred, average='macro')
roc = roc_auc_score(y_test, probability, multi_class='ovr')
model_results = pd.DataFrame([[models, acc, prec, rec, f1,roc]],
columns = ['Model', 'Accuracy', 'Precision', 'Recall', 'F1 Score', 'ROC Score'])
results = results.append(model_results, ignore_index = True)
proba.append((models,probability))
y_predict.append((models,list(y_pred)))
print("Not 'K-Nearest Neighbors (minkowski)'")
voting_classifier = VotingClassifier(estimators= [('lr', lr_classifier),
('kn', kn_classifier),
('svc_linear', svm_linear_classifier),
('svc_rbf', svm_rbf_classifier),
('gb', gb_classifier),
('dt', dt_classifier),
('rf', rf_classifier),
('ad', ad_classifier),
('gr', gr_classifier),
('xg', xg_classifier),], voting='soft')
for clf in (lr_classifier,kn_classifier,svm_linear_classifier,svm_rbf_classifier,
gb_classifier, dt_classifier,rf_classifier, ad_classifier, gr_classifier, xg_classifier, voting_classifier):
clf.fit(X_train,y_train)
y_pred = clf.predict(X_test)
print(clf.__class__.__name__, accuracy_score(y_test, y_pred))
# Predicting Test Set
y_pred = voting_classifier.predict(X_test)
probability = estimator.predict_proba(X_test)
acc = accuracy_score(y_test, y_pred)
prec = precision_score(y_test, y_pred, average='micro')
rec = recall_score(y_test, y_pred, average='micro')
f1 = f1_score(y_test, y_pred, average='macro')
roc = roc_auc_score(y_test, probability, multi_class='ovr')
model_results = pd.DataFrame([['Ensemble Voting', acc, prec, rec, f1, roc]],
columns = ['Model', 'Accuracy', 'Precision', 'Recall', 'F1 Score', 'ROC Score'])
results = results.append(model_results, ignore_index = True)
proba.append(('Ensemble Voting',probability))
y_predict.append(('Ensemble Voting',list(y_pred)))
#The Best Classifier
the_best_estimator = results.sort_values(by='Accuracy',ascending=False).head(5)
print('The best classifier was:')
print('{}'.format(the_best_estimator))
y_pred = pd.DataFrame(y_predict, columns=['Model', 'y_pred'])
y_pred[y_pred['Model']==the_best_estimator.iloc[0,0]]['y_pred']
y_pred_final = y_pred[y_pred['Model']==the_best_estimator.iloc[0,0]]['y_pred']
y_pred_final = list(y_pred_final)
y_pred_final[0]
proba = pd.DataFrame(proba, columns=['Model', 'Proba'])
proba[proba['Model']==the_best_estimator.iloc[0,0]]['Proba']
proba_final = proba[proba['Model']==the_best_estimator.iloc[0,0]]['Proba']
proba_final = list(proba_final)
proba_final[0]
model_df = pd.DataFrame(model, columns=['Model', 'Estimator'])
model_df[model_df['Model']==the_best_estimator.iloc[0,0]]['Estimator']
model_df_final = model_df[model_df['Model']==the_best_estimator.iloc[0,0]]['Estimator']
model_df_final = list(model_df_final)
model_df_final[0]
training.ConfusionMatrixTito(y_test,y_pred_final[0])
training.ROCTito(model_df_final[0],X_train,X_test,y_train,y_test)
training.PrecisionRecallTito(model_df_final[0],X_train,X_test,y_train,y_test)
training.ClassPredictionErrorTito(model_df_final[0],X_train,X_test,y_train,y_test)
training.DiscriminationThresholdrTito(model_df_final[0],X_train,X_test,y_train,y_test)
training.LearningCurveTito(model_df_final[0], X_train,y_train, 'accuracy')
training.ValidationCurveTito(model_df_final[0], X_train,y_train, 'C', 'accuracy')
| 48.097561 | 144 | 0.664047 | 1,996 | 15,776 | 4.953908 | 0.093687 | 0.036913 | 0.020024 | 0.033374 | 0.89553 | 0.892294 | 0.881169 | 0.877629 | 0.872573 | 0.872573 | 0 | 0.010235 | 0.194916 | 15,776 | 327 | 145 | 48.244648 | 0.768286 | 0.004881 | 0 | 0.828571 | 0 | 0 | 0.102639 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.071429 | 0 | 0.071429 | 0.035714 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
59f5f7cf056f9a4b39b75d5663716746da7246ea | 49 | py | Python | src/nanoid/__main__.py | jameskabbes/Nanoid | 930c80bbf6444112f2d8d28d1370fa344addb9fe | [
"MIT"
] | null | null | null | src/nanoid/__main__.py | jameskabbes/Nanoid | 930c80bbf6444112f2d8d28d1370fa344addb9fe | [
"MIT"
] | null | null | null | src/nanoid/__main__.py | jameskabbes/Nanoid | 930c80bbf6444112f2d8d28d1370fa344addb9fe | [
"MIT"
] | null | null | null | from nanoid import generate
print ( generate() )
| 16.333333 | 27 | 0.755102 | 6 | 49 | 6.166667 | 0.833333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.163265 | 49 | 2 | 28 | 24.5 | 0.902439 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.5 | 0 | 0.5 | 0.5 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 7 |
943a62bd337ebdaab6c2f3048530cfb0bdc8d5db | 123 | py | Python | lab_3/main_2.py | MrLuckUA/python_course | 50a87bc54550aedaac3afcce5b8b5c132fb6ec98 | [
"MIT"
] | null | null | null | lab_3/main_2.py | MrLuckUA/python_course | 50a87bc54550aedaac3afcce5b8b5c132fb6ec98 | [
"MIT"
] | null | null | null | lab_3/main_2.py | MrLuckUA/python_course | 50a87bc54550aedaac3afcce5b8b5c132fb6ec98 | [
"MIT"
] | null | null | null | #! /usr/bin/python3
# -*-coding: utf-8-*-
print(f'Temperature in C: {(int(input("Enter temperature in F: ")) - 32) * 5/9}') | 41 | 81 | 0.601626 | 20 | 123 | 3.7 | 0.85 | 0.351351 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.056075 | 0.130081 | 123 | 3 | 81 | 41 | 0.635514 | 0.308943 | 0 | 0 | 0 | 1 | 0.845238 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 |
947b11379878a468062f6892d0074ca3c7961498 | 2,762 | py | Python | tests/test_routes/test_commit_routes.py | theamankumarsingh/augur | 3ae0c4d6e4fb9b6dfddff02a92a170763e9bf8bd | [
"MIT"
] | 443 | 2018-09-19T00:30:36.000Z | 2022-03-31T11:39:13.000Z | tests/test_routes/test_commit_routes.py | theamankumarsingh/augur | 3ae0c4d6e4fb9b6dfddff02a92a170763e9bf8bd | [
"MIT"
] | 613 | 2018-09-19T18:31:13.000Z | 2022-03-31T05:41:16.000Z | tests/test_routes/test_commit_routes.py | theamankumarsingh/augur | 3ae0c4d6e4fb9b6dfddff02a92a170763e9bf8bd | [
"MIT"
] | 764 | 2018-10-17T01:08:10.000Z | 2022-03-31T05:25:01.000Z | #SPDX-License-Identifier: MIT
import requests
import pytest
def test_annual_commit_count_ranked_by_new_repo_in_repo_group(metrics):
response = requests.get('http://localhost:5000/api/unstable/repo-groups/10/annual-commit-count-ranked-by-new-repo-in-repo-group/')
data = response.json()
assert response.status_code == 200
assert len(data) >= 1
assert data[0]["net"] >= 0
def test_annual_commit_count_ranked_by_new_repo_in_repo_group_by_repo(metrics):
response = requests.get('http://localhost:5000/api/unstable/repo-groups/10/repos/25430/annual-commit-count-ranked-by-new-repo-in-repo-group')
data = response.json()
assert response.status_code == 200
assert len(data) >= 1
assert data[0]["net"] > 0
def test_annual_commit_count_ranked_by_new_repo_in_repo_group_by_group(metrics):
response = requests.get('http://localhost:5000/api/unstable/repo-groups/10/annual-commit-count-ranked-by-new-repo-in-repo-group')
data = response.json()
assert response.status_code == 200
assert len(data) >= 1
assert data[0]["net"] > 0
def test_annual_commit_count_ranked_by_repo_in_repo_group_by_repo(metrics):
response = requests.get('http://localhost:5000/api/unstable/repo-groups/10/repos/25430/annual-commit-count-ranked-by-repo-in-repo-group')
data = response.json()
assert response.status_code == 200
assert len(data) >= 1
assert data[0]["net"] > 0
def test_annual_commit_count_ranked_by_repo_in_repo_group_by_group(metrics):
response = requests.get('http://localhost:5000/api/unstable/repo-groups/10/annual-commit-count-ranked-by-repo-in-repo-group')
data = response.json()
assert response.status_code == 200
assert len(data) >= 1
assert data[0]["net"] > 0
def test_top_committers_by_repo(metrics):
response = requests.get('http://localhost:5000/api/unstable/repo-groups/10/repos/25430/top-committers')
data = response.json()
assert response.status_code == 200
assert len(data) >= 1
assert data[0]['commits'] > 0
def test_top_committers_by_group(metrics):
response = requests.get('http://localhost:5000/api/unstable/repo-groups/10/top-committers')
data = response.json()
assert response.status_code == 200
assert len(data) >= 1
assert data[0]['commits'] > 0
def test_committer_by_repo(metrics):
response = requests.get('http://localhost:5000/api/unstable/repo-groups/10/repos/25430/committers')
data = response.json()
assert response.status_code == 200
assert len(data) >= 1
def test_committer_by_group(metrics):
response = requests.get('http://localhost:5000/api/unstable/repo-groups/10/committers?period=year')
data = response.json()
assert response.status_code == 200
assert len(data) >= 1
| 41.848485 | 145 | 0.732078 | 411 | 2,762 | 4.727494 | 0.111922 | 0.06176 | 0.087494 | 0.118374 | 0.951107 | 0.951107 | 0.937725 | 0.937725 | 0.937725 | 0.937725 | 0 | 0.051624 | 0.13034 | 2,762 | 65 | 146 | 42.492308 | 0.757286 | 0.010138 | 0 | 0.611111 | 0 | 0.148148 | 0.307355 | 0 | 0 | 0 | 0 | 0 | 0.462963 | 1 | 0.166667 | false | 0 | 0.037037 | 0 | 0.203704 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
947dbceb64391700342b78c2a4a209ba906aacde | 129 | py | Python | vk/keyboards/__init__.py | Inzilkin/vk.py | 969f01e666c877c1761c3629a100768f93de27eb | [
"MIT"
] | 24 | 2019-09-13T15:30:09.000Z | 2022-03-09T06:35:59.000Z | vk/keyboards/__init__.py | Inzilkin/vk.py | 969f01e666c877c1761c3629a100768f93de27eb | [
"MIT"
] | null | null | null | vk/keyboards/__init__.py | Inzilkin/vk.py | 969f01e666c877c1761c3629a100768f93de27eb | [
"MIT"
] | 12 | 2019-09-13T15:30:31.000Z | 2022-03-01T10:13:32.000Z | from .keyboard import ButtonColor
from .keyboard import ButtonType
from .keyboard import Keyboard
from .keyboard import Template
| 25.8 | 33 | 0.844961 | 16 | 129 | 6.8125 | 0.375 | 0.440367 | 0.66055 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.124031 | 129 | 4 | 34 | 32.25 | 0.964602 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
8491ace65c673a70713541d7fcdca8f9f3132e0f | 19,302 | py | Python | model_SphereWireNew.py | LeiDai/meep_metamaterials | 2ca51c861e1f69e638e920c9bdacc7c583e22aed | [
"MIT"
] | 6 | 2019-03-18T07:00:51.000Z | 2021-09-01T12:42:13.000Z | model_SphereWireNew.py | LeiDai/meep_metamaterials | 2ca51c861e1f69e638e920c9bdacc7c583e22aed | [
"MIT"
] | null | null | null | model_SphereWireNew.py | LeiDai/meep_metamaterials | 2ca51c861e1f69e638e920c9bdacc7c583e22aed | [
"MIT"
] | 5 | 2017-02-20T12:00:46.000Z | 2021-05-29T23:57:07.000Z | #!/usr/bin/env python
#-*- coding: utf-8 -*-
import meep_utils, meep_materials
import numpy as np
from meep_utils import in_sphere, in_xcyl, in_ycyl, in_zcyl, in_xslab, in_yslab, in_zslab, in_ellipsoid
"""
"""
class SphereWire_model(meep_utils.AbstractMeepModel): #{{{
""" Array of spheres with a metallic mesh around to provide possibly negative epsilon. #{{{
FD 2013-01-10
|PMLPMLPML|
^ +---------+ <-- monitor plane 2
| | |
z |_ _| <-- Bloch-periodic boundaries on X, Y faces
| \ /.|
wire---->| o | |
mesh |_/ \_|<-- dielectric TiO2 sphere
| |
x +---------+ <-- monitor plane 1
--> +=========+ <-- source
|PMLPMLPML|
An X-Y view:
+--------+--------+
|__/ I \__| <--- sphere
| I |
| I |
| I |
|========+========| <---- wire cross, possibly with crossing-split and near-sphere-split
| I |
| I |
|__ I __|
| \ I / |
+--------+--------+
<-> wireconnw = WireConnectorWidth (increased capacitive coupling between wires)
By default, using the geometry from Yakiyama2012
Note: The plasma frequency of the wire array may be calculated as:
a, r = 1e-4, 10e-6 ## wire spacing and diameter [Pendry1996]
f = (6.28*3e8**2/a**2/numpy.log(a/r))**.5 / 6.28 / 1e12
>>> 789e9 ## Hz
"""
#}}}
def cell_centers(self):#{{{
""" Helper function for stacked multilayered metamaterials """
return np.arange(-self.monzd*(self.cells-1)/2, self.monzd*(self.cells-1)/2+1e-12, self.monzd)
## alternatively: adds surrounding two cells!!
#return np.arange(-self.monzd*(self.cells+1)/2, self.monzd*(self.cells+1)/2+1e-12, self.monzd)#}}}
def __init__(self, comment="", simtime=100e-12, resolution=6e-6, cells=1, monzc=0e-6, padding=50e-6,
radius=25e-6, wzofs=0e-6, spacing=75e-6, wlth=10e-6, wtth=10e-6, Kx=0, Ky=0, epsilon=100):
meep_utils.AbstractMeepModel.__init__(self) ## Base class initialisation
self.simulation_name = "SphereWire" ##
monzd=spacing
self.register_locals(locals()) ## Remember the parameters
#wlth=1e-6
#wtth=90e-6
#wlth=6e-6
#wtth=1000e-6
## Definition of materials used
#self.materials = [meep_materials.material_dielectric(where = self.where_diel, eps=4.)]
#self.materials = [meep_materials.material_TiO2_THz_HIEPS(where = self.where_TiO2),
#meep_materials.material_Metal_THz(where = self.where_metal)]
## Initialization of materials used
if 'TiO2NC' in comment:
self.materials = [meep_materials.material_TiO2_NC_THz(where = self.where_TiO2), ]
#meep_materials.material_Metal_THz(where = self.where_metal) ]
elif 'TiO2' in comment:
self.materials = [meep_materials.material_TiO2_THz(where = self.where_TiO2),
meep_materials.material_Metal_THz(where = self.where_metal) ]
elif 'Diel' in comment:
self.materials = [meep_materials.material_dielectric(where = self.where_TiO2, eps=epsilon),
meep_materials.material_Metal_THz(where = self.where_metal) ]
else:
self.materials = [meep_materials.material_STO_THz(where = self.where_TiO2),
meep_materials.material_Metal_THz(where = self.where_metal) ]
## constants for the simulation
self.pml_thickness = 20e-6
self.monitor_z1, self.monitor_z2 = (-(monzd*cells)/2+monzc-padding, (monzd*cells)/2+monzc+padding)
self.simtime = simtime # [s]
self.srcFreq, self.srcWidth = 1000e9, 2000e9 # [Hz], note: "Last source time" = 10/srcWidth
self.interesting_frequencies = (0e9, 1000e9)
## Dimension constants for the simulation
self.size_x = spacing
self.size_y = spacing
self.size_z = 60e-6 + cells*monzd + 2*self.pml_thickness + 2*self.padding
#self.size_x, self.size_y, self.size_z = resolution/1.8, spacing, size_z ## two dimensional case XXX
self.TestMaterials()
print "CellCenters:", self.cell_centers()
def where_diel(self, r):
for cellz in self.cell_centers():
if in_zslab(r, cz=self.wzofs+cellz, d=self.wlth):
return self.return_value
return 0
def where_metal(self, r):
return 0 ## nometal XXX
for cellz in self.cell_centers():
if in_xcyl(r, cy=0e-6, cz=self.wzofs+cellz, rad=self.wlth) or in_ycyl(r, cx=0e-6, cz=self.wzofs+cellz, rad=self.wlth):
return self.return_value
return 0 ## nometal
for cellz in self.cell_centers():
#if (in_xslab(r, cx=0e-6, d=self.wtth) or in_yslab(r, cy=0e-6, d=self.wtth)) and \
if (in_yslab(r, cy=0e-6, d=self.wtth)) and \
in_zslab(r, cz=self.wzofs+cellz, d=self.wlth):
return self.return_value
return 0
def where_TiO2(self, r):
# callback used for each polarizability of each material (materials should never overlap)
for cellz in self.cell_centers():
## XXX ## avoid the metal volume
#if (in_xslab(r, cx=0e-6, d=self.wtth) or in_yslab(r, cy=0e-6, d=self.wtth)) and \
#in_zslab(r, cz=self.wzofs+cellz, d=self.wlth):
#return 0
# Y-bars
#if in_ycyl(r, cx=-self.size_x/2, cz=cellz, rad=self.radius) \
#or in_ycyl(r, cx= self.size_x/2, cz=cellz, rad=self.radius):
#return self.return_value # (do not change this return value)
# X-bars
#if in_xcyl(r, cy=-self.size_y/2, cz=cellz, rad=self.radius) \
#or in_xcyl(r, cy= self.size_y/2, cz=cellz, rad=self.radius):
#return self.return_value # (do not change this return value)
## /XXX
if in_sphere(r, cx=0, cy=0, cz=cellz, rad=self.radius):
return self.return_value # (do not change this return value) XXX
#if in_sphere(r, cx=-self.size_x/2, cy=-self.size_y/2, cz=cellz, rad=self.radius) \
#or in_sphere(r, cx= self.size_x/2, cy=-self.size_y/2, cz=cellz, rad=self.radius) \
#or in_sphere(r, cx=-self.size_x/2, cy= self.size_y/2, cz=cellz, rad=self.radius) \
#or in_sphere(r, cx= self.size_x/2, cy= self.size_y/2, cz=cellz, rad=self.radius):
#return self.return_value # (do not change this return value)
return 0
#}}}
class SphereFishnet_model(meep_utils.AbstractMeepModel): #{{{
"""
Array of diel spheres embedded in metallized mylar foil with holes
Enables electric field tuning of resonances?
FD 2013-10-20
"""
def cell_centers(self):#{{{
""" Helper function for stacked multilayered metamaterials """
return np.arange(-self.monzd*(self.cells-1)/2, self.monzd*(self.cells-1)/2+1e-12, self.monzd)
## alternatively: adds surrounding two cells!!
#return np.arange(-self.monzd*(self.cells+1)/2, self.monzd*(self.cells+1)/2+1e-12, self.monzd)#}}}
def __init__(self, comment="", simtime=100e-12, resolution=5e-6, cells=1, monzc=0e-6, padding=50e-6,
radius=25e-6, wzofs=0e-6, spacing=75e-6, thick=20e-6, Kx=0, Ky=0, epsilon=100):
meep_utils.AbstractMeepModel.__init__(self) ## Base class initialisation
self.simulation_name = "SphereWire" ##
monzd=spacing
self.register_locals(locals()) ## Remember the parameters
#wlth=1e-6
#wtth=90e-6
#wlth=6e-6
#wtth=1000e-6
## Definition of materials used
#self.materials = [meep_materials.material_dielectric(where = self.where_diel, eps=4.)]
#self.materials = [meep_materials.material_TiO2_THz_HIEPS(where = self.where_TiO2),
#meep_materials.material_Metal_THz(where = self.where_metal)]
## Initialization of materials used
if 'TiO2' in comment:
self.materials = [meep_materials.material_TiO2_THz(where = self.where_TiO2),
meep_materials.material_dielectric(where = self.where_diel, eps=2.),
meep_materials.material_Metal_THz(where = self.where_metal) ]
elif 'Diel' in comment:
self.materials = [meep_materials.material_dielectric(where = self.where_TiO2, eps=epsilon),
meep_materials.material_Metal_THz(where = self.where_metal) ]
else:
self.materials = [meep_materials.material_STO_THz(where = self.where_TiO2),
meep_materials.material_dielectric(where = self.where_diel, eps=2.),
meep_materials.material_Metal_THz(where = self.where_metal) ]
## constants for the simulation
self.pml_thickness = 20e-6
self.monitor_z1, self.monitor_z2 = (-(monzd*cells)/2+monzc-padding, (monzd*cells)/2+monzc+padding)
self.simtime = simtime # [s]
self.srcFreq, self.srcWidth = 1000e9, 2000e9 # [Hz], note: "Last source time" = 10/srcWidth
self.interesting_frequencies = (0e9, 1000e9)
## Dimension constants for the simulation
self.size_x = spacing
self.size_y = spacing
self.size_z = 60e-6 + cells*monzd + 2*self.pml_thickness + 2*self.padding
#self.size_x, self.size_y, self.size_z = resolution/1.8, spacing, size_z ## two dimensional case XXX
self.r2 = radius + 6e-6
self.TestMaterials()
print "CellCenters:", self.cell_centers()
def where_diel(self, r):
for cellz in self.cell_centers():
if not (in_zcyl(r, cx=-self.size_x/2, cy=-self.size_y/2, rad=self.r2) \
or in_zcyl(r, cx= self.size_x/2, cy=-self.size_y/2, rad=self.r2) \
or in_zcyl(r, cx=-self.size_x/2, cy= self.size_y/2, rad=self.r2) \
or in_zcyl(r, cx= self.size_x/2, cy= self.size_y/2, rad=self.r2)) \
and in_zslab(r, cz=cellz, d=self.thick):
return self.return_value
return 0
def where_metal(self, r):
for cellz in self.cell_centers():
if not (in_zcyl(r, cx=-self.size_x/2, cy=-self.size_y/2, rad=self.r2) \
or in_zcyl(r, cx= self.size_x/2, cy=-self.size_y/2, rad=self.r2) \
or in_zcyl(r, cx=-self.size_x/2, cy= self.size_y/2, rad=self.r2) \
or in_zcyl(r, cx= self.size_x/2, cy= self.size_y/2, rad=self.r2)) \
and (in_zslab(r, cz=cellz, d=self.thick+self.resolution*4) and not in_zslab(r, cz=cellz, d=self.thick)):
return self.return_value
return 0
def where_TiO2(self, r):
for cellz in self.cell_centers():
if in_sphere(r, cx=-self.size_x/2, cy=-self.size_y/2, cz=cellz+self.wzofs, rad=self.radius) \
or in_sphere(r, cx= self.size_x/2, cy=-self.size_y/2, cz=cellz+self.wzofs, rad=self.radius) \
or in_sphere(r, cx=-self.size_x/2, cy= self.size_y/2, cz=cellz+self.wzofs, rad=self.radius) \
or in_sphere(r, cx= self.size_x/2, cy= self.size_y/2, cz=cellz+self.wzofs, rad=self.radius):
return self.return_value
return 0
#}}}
class SimpleEllipsoid_model(meep_utils.AbstractMeepModel): #{{{
"""
FD 2014-01-28
"""
def cell_centers(self):#{{{
""" Helper function for stacked multilayered metamaterials """
return np.arange(-self.monzd*(self.cells-1)/2, self.monzd*(self.cells-1)/2+1e-12, self.monzd)
## alternatively: adds surrounding two cells!!
#return np.arange(-self.monzd*(self.cells+1)/2, self.monzd*(self.cells+1)/2+1e-12, self.monzd)#}}}
def __init__(self, comment="", simtime=100e-12, resolution=2e-6, cells=1, monzc=0e-6, spacing=75e-6,
xradius=15e-6, yradius=15e-6, zradius=15e-6, padding=0, Kx=0, Ky=0, metalpos=1000):
meep_utils.AbstractMeepModel.__init__(self) ## Base class initialisation
self.simulation_name = "SE"
self.register_locals(locals()) ## Remember the parameters
## Definition of materials used
self.materials = [meep_materials.material_TiO2_THz(where = self.where_TiO2)]
## Dimension constants for the simulation
monzd = spacing ## monitor z-distance
self.monzd = monzd
self.size_x, self.size_y, self.size_z = spacing, spacing, 60e-6 + cells*self.monzd
## constants for the simulation
self.pml_thickness = 10e-6
(self.monitor_z1, self.monitor_z2) = (-(monzd*cells)/2+monzc-padding, (monzd*cells)/2+monzc+padding)
self.simtime = simtime # [s]
self.srcFreq, self.srcWidth = 1000e9, 7000e9 # [Hz], note: "Last source time" = 10/srcWidth
self.interesting_frequencies = (0., 5000e9)
self.TestMaterials() ## catches (most) errors in structure syntax, before they crash the callback
def where_TiO2(self, r):
# callback used for each polarizability of each material (materials should never overlap)
for cellz in self.cell_centers():
#xd, yd, zd = (cx-r.x()), (cy-r.y()), (cz-r.z())
xd, yd, zd = r.x(), r.y(), r.z()
if ((xd)**2/self.xradius**2 + (yd)**2/self.yradius**2 + (zd)**2/self.zradius**2)**.5 < 1 :
return self.return_value
return 0
#}}}
class SphereElliptic_model(meep_utils.AbstractMeepModel): #{{{
"""
FD 2014-01-28
"""
def cell_centers(self):#{{{
""" Helper function for stacked multilayered metamaterials """
return np.arange(-self.monzd*(self.cells-1)/2, self.monzd*(self.cells-1)/2+1e-12, self.monzd)
## alternatively: adds surrounding two cells!!
#return np.arange(-self.monzd*(self.cells+1)/2, self.monzd*(self.cells+1)/2+1e-12, self.monzd)#}}}
def __init__(self, comment="", simtime=10e-12, resolution=2e-6, cells=1, monzc=0e-6, spacing=120e-6,
radius1=15e-6, radius2=12e-6, padding=0, Kx=0, Ky=0, metalpos=1000):
meep_utils.AbstractMeepModel.__init__(self) ## Base class initialisation
self.simulation_name = "SE"
self.register_locals(locals()) ## Remember the parameters
## Definition of materials used
self.materials = [meep_materials.material_TiO2_THz(where = self.where_TiO2),
meep_materials.material_Metal_THz(where = self.where_metal) ]
## Dimension constants for the simulation
monzd = spacing ## monitor z-distance
self.monzd = monzd
self.size_x, self.size_y, self.size_z = spacing, spacing, 60e-6 + cells*self.monzd
## constants for the simulation
self.pml_thickness = 10e-6
(self.monitor_z1, self.monitor_z2) = (-(monzd*cells)/2+monzc-padding, (monzd*cells)/2+monzc+padding)
self.simtime = simtime # [s]
self.srcFreq, self.srcWidth = 1000e9, 7000e9 # [Hz], note: "Last source time" = 10/srcWidth
self.interesting_frequencies = (0., 5000e9)
self.TestMaterials() ## catches (most) errors in structure syntax, before they crash the callback
#def where_metal(self, r):
#for cellz in self.cell_centers():
#if (in_xslab(r, cx=0e-6, d=self.wtth) or in_yslab(r, cy=0e-6, d=self.wtth)) and \
#in_zslab(r, cz=self.wzofs+cellz, d=self.wlth):
#return self.return_value
#return 0
def where_metal(self, r):
for cellz in self.cell_centers():
if r.z() > self.metalpos:
return self.return_value
return 0
def where_TiO2(self, r):
# callback used for each polarizability of each material (materials should never overlap)
for cellz in self.cell_centers():
#xd, yd, zd = (cx-r.x()), (cy-r.y()), (cz-r.z())
xd, yd, zd = r.y()*.866 - r.x()*.5, r.y()*.5 + r.x()*.866, r.z()
if ((xd+yd)**2/2./self.radius1**2 + (xd-yd)**2/2./self.radius2**2 + zd**2/(self.radius1*self.radius2))**.5 < 1 :
return self.return_value
return 0
#def where_substr(self, r):
#for cellz in self.cell_centers():
#if in_zslab(r, cz=cellz-self.BarThick/2,d=self.SubstrThick):
#return self.return_value
#return 0
#}}}
class SphereMitrof_model(meep_utils.AbstractMeepModel): #{{{
"""
FD 2014-01-28
"""
def cell_centers(self):#{{{
""" Helper function for stacked multilayered metamaterials """
return np.arange(-self.monzd*(self.cells-1)/2, self.monzd*(self.cells-1)/2+1e-12, self.monzd)
## alternatively: adds surrounding two cells!!
#return np.arange(-self.monzd*(self.cells+1)/2, self.monzd*(self.cells+1)/2+1e-12, self.monzd)#}}}
def __init__(self, comment="", simtime=100e-12, resolution=2e-6, cells=1, monzc=0e-6, spacing=30e-6,
radius=15e-6, ex=2, padding=0, Kx=0, Ky=0):
meep_utils.AbstractMeepModel.__init__(self) ## Base class initialisation
self.simulation_name = "SE"
self.register_locals(locals()) ## Remember the parameters
## Definition of materials used
self.materials = [meep_materials.material_TiO2_THz(where = self.where_TiO2)]
## Dimension constants for the simulation
monzd = spacing ## monitor z-distance
self.monzd = monzd
self.size_x, self.size_y, self.size_z = spacing, spacing, 60e-6 + cells*self.monzd
## constants for the simulation
self.pml_thickness = 10e-6
(self.monitor_z1, self.monitor_z2) = (-(monzd*cells)/2+monzc-padding, (monzd*cells)/2+monzc+padding)
self.simtime = simtime # [s]
self.srcFreq, self.srcWidth = 1000e9, 4000e9 # [Hz], note: "Last source time" = 10/srcWidth
self.interesting_frequencies = (0., 5000e9)
print self.ex
self.TestMaterials() ## catches (most) errors in structure syntax, before they crash the callback
#def where_metal(self, r):
#for cellz in self.cell_centers():
#if (in_xslab(r, cx=0e-6, d=self.wtth) or in_yslab(r, cy=0e-6, d=self.wtth)) and \
#in_zslab(r, cz=self.wzofs+cellz, d=self.wlth):
#return self.return_value
#return 0
def where_TiO2(self, r):
# callback used for each polarizability of each material (materials should never overlap)
for cellz in self.cell_centers():
if in_ellipsoid(r, cx=0, cy=0, cz=0, rad=self.radius, ex=self.ex):
return self.return_value
return 0
#def where_substr(self, r):
#for cellz in self.cell_centers():
#if in_zslab(r, cz=cellz-self.BarThick/2,d=self.SubstrThick):
#return self.return_value
#return 0
#}}}
| 47.777228 | 130 | 0.592996 | 2,632 | 19,302 | 4.209347 | 0.102584 | 0.041159 | 0.049282 | 0.032494 | 0.892951 | 0.887896 | 0.878599 | 0.874718 | 0.861901 | 0.856485 | 0 | 0.043525 | 0.271526 | 19,302 | 403 | 131 | 47.895782 | 0.744399 | 0.270438 | 0 | 0.777778 | 0 | 0 | 0.005986 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.015873 | null | null | 0.015873 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
8492ae44519358c3708da63193af0dbef1544f82 | 198 | py | Python | robotice/utils/platform/rpi/__init__.py | robotice/robotice | aa8af3ac357021a8884bdbdaae760c7a368bfd13 | [
"Apache-2.0"
] | 2 | 2015-02-19T23:39:28.000Z | 2015-03-27T21:59:50.000Z | robotice/utils/platform/rpi/__init__.py | robotice/robotice | aa8af3ac357021a8884bdbdaae760c7a368bfd13 | [
"Apache-2.0"
] | 1 | 2015-01-17T12:22:42.000Z | 2015-01-17T12:22:42.000Z | robotice/utils/platform/rpi/__init__.py | robotice/robotice | aa8af3ac357021a8884bdbdaae760c7a368bfd13 | [
"Apache-2.0"
] | null | null | null |
from robotice.utils.platform.rpi.const import RPI_PIN_2_GPIO_MAP
from robotice.utils.platform.rpi.const import RPI_PIN_2_GPIO_MAP
__all__ = [
"RPI_PIN_2_GPIO_MAP",
"RPI_PIN_2_GPIO_MAP",
] | 22 | 64 | 0.792929 | 35 | 198 | 3.914286 | 0.342857 | 0.175182 | 0.20438 | 0.321168 | 0.978102 | 0.773723 | 0.773723 | 0.773723 | 0.773723 | 0.773723 | 0 | 0.022989 | 0.121212 | 198 | 9 | 65 | 22 | 0.764368 | 0 | 0 | 0.666667 | 0 | 0 | 0.181818 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.333333 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 10 |
8499fa653753038560c94dc98c8823074cf31c06 | 2,779 | py | Python | SmartBadge/maze_test.py | SmartBadge/SmartBadge | 7bddc1ec230bcf5fa6185999b0b0c0e448528629 | [
"MIT"
] | null | null | null | SmartBadge/maze_test.py | SmartBadge/SmartBadge | 7bddc1ec230bcf5fa6185999b0b0c0e448528629 | [
"MIT"
] | null | null | null | SmartBadge/maze_test.py | SmartBadge/SmartBadge | 7bddc1ec230bcf5fa6185999b0b0c0e448528629 | [
"MIT"
] | null | null | null | import generate_maze as g
grid = [[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,],
[1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,],
[1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,],
[1,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,1,],
[1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,],
[1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,],
[1,0,0,1,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,1,0,0,1,],
[1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,1,],
[1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,1,],
[1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,1,],
[1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,1,],
[1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,1,],
[1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,1,],
[1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,1,],
[1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,],
[1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,],
[1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,1,1,1,],
[1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,],
[1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,],
[1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,0,0,1,],
[1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,],
[1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,],
[1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,],
[1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,],
[1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,],
[1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,],
[1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,],
[1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,],
[1,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,1,],
[1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,],
[1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,],
[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,],]
p = g.generate_wall_list(grid)
for line in p:
print(line) | 73.131579 | 84 | 0.393307 | 1,042 | 2,779 | 1.046065 | 0.014395 | 1.242202 | 1.615596 | 2.040367 | 0.93945 | 0.93945 | 0.93945 | 0.93945 | 0.93945 | 0.93945 | 0 | 0.460639 | 0.200072 | 2,779 | 38 | 85 | 73.131579 | 0.02969 | 0 | 0 | 0.75 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.027778 | 0 | 0.027778 | 0.027778 | 0 | 0 | 1 | null | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 14 |
84a79a07c54555f28fc75e561693293c6ddd4886 | 461 | py | Python | ojextends/__init__.py | Bob4Open/ojextends | 31087d5a83b0432f6cd6db1a038cac1ac4dca5a4 | [
"MIT"
] | null | null | null | ojextends/__init__.py | Bob4Open/ojextends | 31087d5a83b0432f6cd6db1a038cac1ac4dca5a4 | [
"MIT"
] | null | null | null | ojextends/__init__.py | Bob4Open/ojextends | 31087d5a83b0432f6cd6db1a038cac1ac4dca5a4 | [
"MIT"
] | null | null | null | from __future__ import absolute_import
from __future__ import unicode_literals
from .ojextends import (List, JsonSerializable, objectToDict,objectToStr,objectFromDict,objectFromStr,objectsFromStr,objectsFromList,objectsToList,objectsToStr)
__name__ = 'ojextends'
__version__ = '0.1.1'
__all__ = ['List', 'JsonSerializable', 'objectToDict','objectToStr',
'objectFromDict','objectFromStr','objectsFromStr',
'objectsFromList','objectsToList','objectsToStr'] | 41.909091 | 160 | 0.815618 | 40 | 461 | 8.85 | 0.55 | 0.056497 | 0.090395 | 0.242938 | 0.700565 | 0.700565 | 0.700565 | 0.700565 | 0.700565 | 0.700565 | 0 | 0.007009 | 0.071584 | 461 | 11 | 161 | 41.909091 | 0.820093 | 0 | 0 | 0 | 0 | 0 | 0.298701 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.375 | 0 | 0.375 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 7 |
84d3c9e993e46c35168c2cba4d2b5e8a4329395f | 1,027 | py | Python | data_test.py | dhlee-work/SKT-FellowShip3 | 4a4156a787155680c6cff5f5de7da3b412d29f40 | [
"BSD-3-Clause"
] | null | null | null | data_test.py | dhlee-work/SKT-FellowShip3 | 4a4156a787155680c6cff5f5de7da3b412d29f40 | [
"BSD-3-Clause"
] | null | null | null | data_test.py | dhlee-work/SKT-FellowShip3 | 4a4156a787155680c6cff5f5de7da3b412d29f40 | [
"BSD-3-Clause"
] | null | null | null |
import json # import json module
# with statement
with open('./data/spider/train_raw.json') as json_file:
json_data = json.load(json_file)
type(json_data)
re_data = []
for idx, row in enumerate(json_data):
bb = {}
for i in ['db_id', 'query', 'question']:
bb[i] = row[i]
re_data.append(bb)
if idx >= 100:
break
with open('./data/spider/train.json', 'w') as outfile:
json.dump(re_data, outfile, indent=4)
import json # import json module
# with statement
with open('./data/spider/tables_raw.json') as json_file:
json_data = json.load(json_file)
json_data[0].keys()
type(json_data)
re_data = []
for idx, row in enumerate(json_data):
bb = {}
for i in ['column_names', 'column_names_original', 'column_types', 'db_id', 'foreign_keys', 'primary_keys', 'table_names', 'table_names_original']:
bb[i] = row[i]
re_data.append(bb)
if idx >= 100:
break
with open('./data/spider/tables.json', 'w') as outfile:
json.dump(re_data, outfile, indent=4) | 23.340909 | 151 | 0.651412 | 160 | 1,027 | 3.99375 | 0.28125 | 0.087637 | 0.075117 | 0.112676 | 0.804382 | 0.769953 | 0.769953 | 0.769953 | 0.769953 | 0.769953 | 0 | 0.010883 | 0.194742 | 1,027 | 44 | 152 | 23.340909 | 0.76179 | 0.065239 | 0 | 0.758621 | 0 | 0 | 0.242138 | 0.133124 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.068966 | 0 | 0.068966 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
ca1bd4ffa1d627e536557960e31bb9af1e8261a3 | 23,835 | py | Python | spark_fhir_schemas/stu3/complex_types/documentreference.py | icanbwell/SparkFhirSchemas | 8c828313c39850b65f8676e67f526ee92b7d624e | [
"Apache-2.0"
] | 2 | 2020-10-31T23:25:01.000Z | 2021-06-09T14:12:42.000Z | spark_fhir_schemas/stu3/complex_types/documentreference.py | icanbwell/SparkFhirSchemas | 8c828313c39850b65f8676e67f526ee92b7d624e | [
"Apache-2.0"
] | null | null | null | spark_fhir_schemas/stu3/complex_types/documentreference.py | icanbwell/SparkFhirSchemas | 8c828313c39850b65f8676e67f526ee92b7d624e | [
"Apache-2.0"
] | null | null | null | from typing import Union, List, Optional
from pyspark.sql.types import StructType, StructField, StringType, ArrayType, DataType
# This file is auto-generated by generate_schema so do not edit manually
# noinspection PyPep8Naming
class DocumentReferenceSchema:
"""
A reference to a document.
"""
# noinspection PyDefaultArgument
@staticmethod
def get_schema(
max_nesting_depth: Optional[int] = 6,
nesting_depth: int = 0,
nesting_list: List[str] = [],
max_recursion_limit: Optional[int] = 2,
include_extension: Optional[bool] = False,
extension_fields: Optional[List[str]] = [
"valueBoolean",
"valueCode",
"valueDate",
"valueDateTime",
"valueDecimal",
"valueId",
"valueInteger",
"valuePositiveInt",
"valueString",
"valueTime",
"valueUnsignedInt",
"valueUri",
"valueQuantity",
],
extension_depth: int = 0,
max_extension_depth: Optional[int] = 2,
) -> Union[StructType, DataType]:
"""
A reference to a document.
id: The logical id of the resource, as used in the URL for the resource. Once
assigned, this value never changes.
extension: May be used to represent additional information that is not part of the basic
definition of the resource. In order to make the use of extensions safe and
manageable, there is a strict set of governance applied to the definition and
use of extensions. Though any implementer is allowed to define an extension,
there is a set of requirements that SHALL be met as part of the definition of
the extension.
meta: The metadata about the resource. This is content that is maintained by the
infrastructure. Changes to the content may not always be associated with
version changes to the resource.
implicitRules: A reference to a set of rules that were followed when the resource was
constructed, and which must be understood when processing the content.
language: The base language in which the resource is written.
text: A human-readable narrative that contains a summary of the resource, and may be
used to represent the content of the resource to a human. The narrative need
not encode all the structured data, but is required to contain sufficient
detail to make it "clinically safe" for a human to just read the narrative.
Resource definitions may define what content should be represented in the
narrative to ensure clinical safety.
contained: These resources do not have an independent existence apart from the resource
that contains them - they cannot be identified independently, and nor can they
have their own independent transaction scope.
resourceType: This is a DocumentReference resource
masterIdentifier: Document identifier as assigned by the source of the document. This identifier
is specific to this version of the document. This unique identifier may be
used elsewhere to identify this version of the document.
identifier: Other identifiers associated with the document, including version independent
identifiers.
status: The status of this document reference.
docStatus: The status of the underlying document.
type: Specifies the particular kind of document referenced (e.g. History and
Physical, Discharge Summary, Progress Note). This usually equates to the
purpose of making the document referenced.
class: A categorization for the type of document referenced - helps for indexing and
searching. This may be implied by or derived from the code specified in the
DocumentReference.type.
subject: Who or what the document is about. The document can be about a person,
(patient or healthcare practitioner), a device (e.g. a machine) or even a
group of subjects (such as a document about a herd of farm animals, or a set
of patients that share a common exposure).
created: When the document was created.
indexed: When the document reference was created.
author: Identifies who is responsible for adding the information to the document.
authenticator: Which person or organization authenticates that this document is valid.
custodian: Identifies the organization or group who is responsible for ongoing
maintenance of and access to the document.
relatesTo: Relationships that this document has with other document references that
already exist.
description: Human-readable description of the source document. This is sometimes known as
the "title".
securityLabel: A set of Security-Tag codes specifying the level of privacy/security of the
Document. Note that DocumentReference.meta.security contains the security
labels of the "reference" to the document, while
DocumentReference.securityLabel contains a snapshot of the security labels on
the document the reference refers to.
content: The document and format referenced. There may be multiple content element
repetitions, each with a different format.
context: The clinical context in which the document was prepared.
"""
from spark_fhir_schemas.stu3.complex_types.extension import ExtensionSchema
from spark_fhir_schemas.stu3.complex_types.meta import MetaSchema
from spark_fhir_schemas.stu3.complex_types.narrative import NarrativeSchema
from spark_fhir_schemas.stu3.simple_types.resourcelist import ResourceListSchema
from spark_fhir_schemas.stu3.complex_types.identifier import IdentifierSchema
from spark_fhir_schemas.stu3.complex_types.codeableconcept import (
CodeableConceptSchema,
)
from spark_fhir_schemas.stu3.complex_types.reference import ReferenceSchema
from spark_fhir_schemas.stu3.complex_types.documentreference_relatesto import (
DocumentReference_RelatesToSchema,
)
from spark_fhir_schemas.stu3.complex_types.documentreference_content import (
DocumentReference_ContentSchema,
)
from spark_fhir_schemas.stu3.complex_types.documentreference_context import (
DocumentReference_ContextSchema,
)
if (
max_recursion_limit
and nesting_list.count("DocumentReference") >= max_recursion_limit
) or (max_nesting_depth and nesting_depth >= max_nesting_depth):
return StructType([StructField("id", StringType(), True)])
# add my name to recursion list for later
my_nesting_list: List[str] = nesting_list + ["DocumentReference"]
schema = StructType(
[
# The logical id of the resource, as used in the URL for the resource. Once
# assigned, this value never changes.
StructField("id", StringType(), True),
# May be used to represent additional information that is not part of the basic
# definition of the resource. In order to make the use of extensions safe and
# manageable, there is a strict set of governance applied to the definition and
# use of extensions. Though any implementer is allowed to define an extension,
# there is a set of requirements that SHALL be met as part of the definition of
# the extension.
StructField(
"extension",
ArrayType(
ExtensionSchema.get_schema(
max_nesting_depth=max_nesting_depth,
nesting_depth=nesting_depth + 1,
nesting_list=my_nesting_list,
max_recursion_limit=max_recursion_limit,
include_extension=include_extension,
extension_fields=extension_fields,
extension_depth=extension_depth,
max_extension_depth=max_extension_depth,
)
),
True,
),
# The metadata about the resource. This is content that is maintained by the
# infrastructure. Changes to the content may not always be associated with
# version changes to the resource.
StructField(
"meta",
MetaSchema.get_schema(
max_nesting_depth=max_nesting_depth,
nesting_depth=nesting_depth + 1,
nesting_list=my_nesting_list,
max_recursion_limit=max_recursion_limit,
include_extension=include_extension,
extension_fields=extension_fields,
extension_depth=extension_depth + 1,
max_extension_depth=max_extension_depth,
),
True,
),
# A reference to a set of rules that were followed when the resource was
# constructed, and which must be understood when processing the content.
StructField("implicitRules", StringType(), True),
# The base language in which the resource is written.
StructField("language", StringType(), True),
# A human-readable narrative that contains a summary of the resource, and may be
# used to represent the content of the resource to a human. The narrative need
# not encode all the structured data, but is required to contain sufficient
# detail to make it "clinically safe" for a human to just read the narrative.
# Resource definitions may define what content should be represented in the
# narrative to ensure clinical safety.
StructField(
"text",
NarrativeSchema.get_schema(
max_nesting_depth=max_nesting_depth,
nesting_depth=nesting_depth + 1,
nesting_list=my_nesting_list,
max_recursion_limit=max_recursion_limit,
include_extension=include_extension,
extension_fields=extension_fields,
extension_depth=extension_depth + 1,
max_extension_depth=max_extension_depth,
),
True,
),
# These resources do not have an independent existence apart from the resource
# that contains them - they cannot be identified independently, and nor can they
# have their own independent transaction scope.
StructField(
"contained",
ArrayType(
ResourceListSchema.get_schema(
max_nesting_depth=max_nesting_depth,
nesting_depth=nesting_depth + 1,
nesting_list=my_nesting_list,
max_recursion_limit=max_recursion_limit,
include_extension=include_extension,
extension_fields=extension_fields,
extension_depth=extension_depth,
max_extension_depth=max_extension_depth,
)
),
True,
),
# This is a DocumentReference resource
StructField("resourceType", StringType(), True),
# Document identifier as assigned by the source of the document. This identifier
# is specific to this version of the document. This unique identifier may be
# used elsewhere to identify this version of the document.
StructField(
"masterIdentifier",
IdentifierSchema.get_schema(
max_nesting_depth=max_nesting_depth,
nesting_depth=nesting_depth + 1,
nesting_list=my_nesting_list,
max_recursion_limit=max_recursion_limit,
include_extension=include_extension,
extension_fields=extension_fields,
extension_depth=extension_depth + 1,
max_extension_depth=max_extension_depth,
),
True,
),
# Other identifiers associated with the document, including version independent
# identifiers.
StructField(
"identifier",
ArrayType(
IdentifierSchema.get_schema(
max_nesting_depth=max_nesting_depth,
nesting_depth=nesting_depth + 1,
nesting_list=my_nesting_list,
max_recursion_limit=max_recursion_limit,
include_extension=include_extension,
extension_fields=extension_fields,
extension_depth=extension_depth,
max_extension_depth=max_extension_depth,
)
),
True,
),
# The status of this document reference.
StructField("status", StringType(), True),
# The status of the underlying document.
StructField("docStatus", StringType(), True),
# Specifies the particular kind of document referenced (e.g. History and
# Physical, Discharge Summary, Progress Note). This usually equates to the
# purpose of making the document referenced.
StructField(
"type",
CodeableConceptSchema.get_schema(
max_nesting_depth=max_nesting_depth,
nesting_depth=nesting_depth + 1,
nesting_list=my_nesting_list,
max_recursion_limit=max_recursion_limit,
include_extension=include_extension,
extension_fields=extension_fields,
extension_depth=extension_depth + 1,
max_extension_depth=max_extension_depth,
),
True,
),
# A categorization for the type of document referenced - helps for indexing and
# searching. This may be implied by or derived from the code specified in the
# DocumentReference.type.
StructField(
"class",
CodeableConceptSchema.get_schema(
max_nesting_depth=max_nesting_depth,
nesting_depth=nesting_depth + 1,
nesting_list=my_nesting_list,
max_recursion_limit=max_recursion_limit,
include_extension=include_extension,
extension_fields=extension_fields,
extension_depth=extension_depth + 1,
max_extension_depth=max_extension_depth,
),
True,
),
# Who or what the document is about. The document can be about a person,
# (patient or healthcare practitioner), a device (e.g. a machine) or even a
# group of subjects (such as a document about a herd of farm animals, or a set
# of patients that share a common exposure).
StructField(
"subject",
ReferenceSchema.get_schema(
max_nesting_depth=max_nesting_depth,
nesting_depth=nesting_depth + 1,
nesting_list=my_nesting_list,
max_recursion_limit=max_recursion_limit,
include_extension=include_extension,
extension_fields=extension_fields,
extension_depth=extension_depth + 1,
max_extension_depth=max_extension_depth,
),
True,
),
# When the document was created.
StructField("created", StringType(), True),
# When the document reference was created.
StructField("indexed", StringType(), True),
# Identifies who is responsible for adding the information to the document.
StructField(
"author",
ArrayType(
ReferenceSchema.get_schema(
max_nesting_depth=max_nesting_depth,
nesting_depth=nesting_depth + 1,
nesting_list=my_nesting_list,
max_recursion_limit=max_recursion_limit,
include_extension=include_extension,
extension_fields=extension_fields,
extension_depth=extension_depth,
max_extension_depth=max_extension_depth,
)
),
True,
),
# Which person or organization authenticates that this document is valid.
StructField(
"authenticator",
ReferenceSchema.get_schema(
max_nesting_depth=max_nesting_depth,
nesting_depth=nesting_depth + 1,
nesting_list=my_nesting_list,
max_recursion_limit=max_recursion_limit,
include_extension=include_extension,
extension_fields=extension_fields,
extension_depth=extension_depth + 1,
max_extension_depth=max_extension_depth,
),
True,
),
# Identifies the organization or group who is responsible for ongoing
# maintenance of and access to the document.
StructField(
"custodian",
ReferenceSchema.get_schema(
max_nesting_depth=max_nesting_depth,
nesting_depth=nesting_depth + 1,
nesting_list=my_nesting_list,
max_recursion_limit=max_recursion_limit,
include_extension=include_extension,
extension_fields=extension_fields,
extension_depth=extension_depth + 1,
max_extension_depth=max_extension_depth,
),
True,
),
# Relationships that this document has with other document references that
# already exist.
StructField(
"relatesTo",
ArrayType(
DocumentReference_RelatesToSchema.get_schema(
max_nesting_depth=max_nesting_depth,
nesting_depth=nesting_depth + 1,
nesting_list=my_nesting_list,
max_recursion_limit=max_recursion_limit,
include_extension=include_extension,
extension_fields=extension_fields,
extension_depth=extension_depth,
max_extension_depth=max_extension_depth,
)
),
True,
),
# Human-readable description of the source document. This is sometimes known as
# the "title".
StructField("description", StringType(), True),
# A set of Security-Tag codes specifying the level of privacy/security of the
# Document. Note that DocumentReference.meta.security contains the security
# labels of the "reference" to the document, while
# DocumentReference.securityLabel contains a snapshot of the security labels on
# the document the reference refers to.
StructField(
"securityLabel",
ArrayType(
CodeableConceptSchema.get_schema(
max_nesting_depth=max_nesting_depth,
nesting_depth=nesting_depth + 1,
nesting_list=my_nesting_list,
max_recursion_limit=max_recursion_limit,
include_extension=include_extension,
extension_fields=extension_fields,
extension_depth=extension_depth,
max_extension_depth=max_extension_depth,
)
),
True,
),
# The document and format referenced. There may be multiple content element
# repetitions, each with a different format.
StructField(
"content",
ArrayType(
DocumentReference_ContentSchema.get_schema(
max_nesting_depth=max_nesting_depth,
nesting_depth=nesting_depth + 1,
nesting_list=my_nesting_list,
max_recursion_limit=max_recursion_limit,
include_extension=include_extension,
extension_fields=extension_fields,
extension_depth=extension_depth,
max_extension_depth=max_extension_depth,
)
),
True,
),
# The clinical context in which the document was prepared.
StructField(
"context",
DocumentReference_ContextSchema.get_schema(
max_nesting_depth=max_nesting_depth,
nesting_depth=nesting_depth + 1,
nesting_list=my_nesting_list,
max_recursion_limit=max_recursion_limit,
include_extension=include_extension,
extension_fields=extension_fields,
extension_depth=extension_depth + 1,
max_extension_depth=max_extension_depth,
),
True,
),
]
)
if not include_extension:
schema.fields = [
c
if c.name != "extension"
else StructField("extension", StringType(), True)
for c in schema.fields
]
return schema
| 50.391121 | 104 | 0.55708 | 2,230 | 23,835 | 5.752466 | 0.140359 | 0.064546 | 0.040926 | 0.059869 | 0.816339 | 0.798332 | 0.783287 | 0.766448 | 0.754054 | 0.740412 | 0 | 0.002867 | 0.400084 | 23,835 | 472 | 105 | 50.497881 | 0.894258 | 0.324942 | 0 | 0.66881 | 1 | 0 | 0.026295 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.003215 | false | 0 | 0.038585 | 0 | 0.051447 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
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