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e0253228836a46896b07cf2ddc20895d4265270a
37,413
py
Python
PROGRAMA_APS.py
rafaaelm/APS_2Semestre
c00090969f7fa98eb567248661a115d5cfd26f0f
[ "MIT" ]
null
null
null
PROGRAMA_APS.py
rafaaelm/APS_2Semestre
c00090969f7fa98eb567248661a115d5cfd26f0f
[ "MIT" ]
null
null
null
PROGRAMA_APS.py
rafaaelm/APS_2Semestre
c00090969f7fa98eb567248661a115d5cfd26f0f
[ "MIT" ]
null
null
null
# ATIVIDADE PRÁTICA SUPERVISIONADAS (APS) # Funções por tipos de materiais # Plasticos def MaterialEscolhidoPlastico(z): x = z if x >= -291 and x <= -150: print('', ['sacola de supermercado, saco de lixo, embalagem de leite', 'Tipo de plastico: PEBD (Polietileno de Baixa Densidade)', ' Ponto de coleta: Rua Serra Dourada 165, Campinas, SP, 13100-312'], '\n', ['Garrafa de alvejante, Garrafa detergente, frascos shampoo,', 'Tipo: plasticos: PEAD (Polietileno de Alta Densidade)', 'ponto de coleta: Rua Celso soares Couto s/n°, Pq. Itajaí']) return x elif x >= -149 and x <= -100: print('',['Garrafas Pet', 'embalagem de cosméticos', 'Tipo de plastico: PET (Tereftalato de Polietileno)', 'Local de coleta: Av. São José dos campos s/ n°, Vl Campos Sales' ], '\n', ['pote de sorvete, partes internas de geladeira, brinquedo lego', 'Tipo plastico: PS (Poliestireno)', 'Local de coleta: Rua josé martins lourenço, esq. com Rua Geraldo Bretas, jd. São Gabriel']) return x elif x > -100 and x <= 0: print('',['Pote de sorvete', 'Tipo plastico: PP (Polipropileno)', 'Av. Marechal Rondon, esq. com Rua José Manuel Veiga, Jd. Eulina'], '\n', ['PVC', 'Tipo de platico: PVC (Policloreto de Vinila)', 'Ponto de coleta: Rua Manoel Gomes Ferreira, esq. com Rua José Ramos Catarino']) return x elif x > 0 and x <= 90: print('',['pote de sorvete, partes internas de geladeira, brinquedo lego', 'Tipo plastico: PS (Poliestireno)', 'Local de coleta: Rua josé martins lourenço, esq. com Rua Geraldo Bretas, jd. São Gabriel'], '\n', ['Garrafas Pet', 'embalagem de cosméticos', 'Tipo de plastico: PET (Tereftalato de Polietileno)', 'Local de coleta: Av. São José dos campos s/ n°, Vl Campos Sales' ]) return x elif x > 90 and x <= 149: print('',['pote de sorvete, partes internas de geladeira, brinquedo lego', 'Tipo plastico: PS (Poliestireno)', 'Local de coleta: Rua josé martins lourenço, esq. com Rua Geraldo Bretas, jd. São Gabriel'], '\n', ['PVC', 'Tipo de platico: PVC (Policloreto de Vinila)', 'Ponto de coleta: Rua Manoel Gomes Ferreira, esq. com Rua José Ramos Catarino'] ) return x elif x > 149 and x <= 210: print(['sacola de supermercado, saco de lixo, embalagem de leite', 'Tipo de plastico: PEBD (Polietileno de Baixa Densidade)', ' Ponto de coleta: Rua Serra Dourada 165, Campinas, SP, 13100-312'], '\n', ['PVC', 'Tipo de platico: PVC (Policloreto de Vinila)', 'Ponto de coleta: Rua Manoel Gomes Ferreira, esq. com Rua José Ramos Catarino'], '\n', ['Garrafas Pet', 'embalagem de cosméticos', 'Tipo de plastico: PET (Tereftalato de Polietileno)', 'Local de coleta: Av. São José dos campos s/ n°, Vl Campos Sales' ]) return x elif x > 210 and x <= 280: print('',['Garrafa de alvejante, Garrafa detergente, frascos shampoo,', 'Tipo: plasticos: PEAD (Polietileno de Alta Densidade)', 'ponto de coleta: Rua Celso soares Couto s/n°, Pq. Itajaí'], '\n', ['sacola de supermercado, saco de lixo, embalagem de leite', 'Tipo de plastico: PEBD (Polietileno de Baixa Densidade)', ' Ponto de coleta: Rua Serra Dourada 165, Campinas, SP, 13100-312']) # Vidro def MaterialEscolhidoVidro(z): x = z if x >= -291 and x <= -120: print('', ['temperado, laminado, duplo', 'Ponto de coleta proximo: Ponto verde - Vila Costa e Silva Rua Saldanha da Gama, 77 Ecoponto'], '\n', ['Termoendurecido, Lacado, Controle Acústico, Controle Solar', 'Pontos de coleta proximo: Ponto verde - Vila Costa e Silva Rua Saldanha da Gama, 77 Ecoponto']), return x elif x > -120 and x <= -90: print('',['Vidros especiais: Corta fogo, Auto limpeza, Anti-Bala / Blindado','Ponto de coleta proximo: ', ' Ponto Verde Av. Santa Isabel, 2300, Ecoponto Jardim EulinaAv. Mal. Rondon']) return x elif x > -90 and x <= -20: print('',['temperado, laminado, duplo', 'Ponto de coleta proximo: Ponto verde - Vila Costa e Silva Rua Saldanha da Gama, 77 Ecoponto'], '\n' , ['Vidros especiais: Vidro para Pavimentos, Decorativo / Vidro Texturado, espelho', 'Ponto de coleta proximo: Ponto-Verde Av. Santa Isabel, 2300 Ecoponto Jardim Eulina Av. Mal. Rondon']) return x elif x > -20 and x <= 50: print('',['temperado, laminado, duplo', 'Ponto de coleta proximo: Ponto verde - Vila Costa e Silva Rua Saldanha da Gama, 77 Ecoponto']) return x elif x > 50 and x <= 100: print('',['Termoendurecido, Lacado, Controle Acústico, Controle Solar', 'Pontos de coleta proximo: Ponto verde - Vila Costa e Silva Rua Saldanha da Gama, 77 Ecoponto'], '\n', ['Vidros especiais: Vidro para Pavimentos, Decorativo / Vidro Texturado, espelho' 'Ponto de coleta proximo: Ponto-Verde Av. Santa Isabel, 2300 Ecoponto Jardim Eulina Av. Mal. Rondon']) return x elif x > 100 and x <= 150: print('',['Vidros especiais: Corta fogo, Auto limpeza, Anti-Bala / Blindado','Ponto de coleta proximo: ', ' Ponto Verde Av. Santa Isabel, 2300, Ecoponto Jardim EulinaAv. Mal. Rondon']) return x elif x > 151 and x <= 219: print('', ['Vidros especiais: Corta fogo, Auto limpeza, Anti-Bala / Blindado','Ponto de coleta proximo: ', ' Ponto Verde Av. Santa Isabel, 2300, Ecoponto Jardim EulinaAv. Mal. Rondon'], '\n', ['Termoendurecido, Lacado, Controle Acústico, Controle Solar', 'Pontos de coleta proximo: Ponto verde - Vila Costa e Silva Rua Saldanha da Gama, 77 Ecoponto']) return x elif x > 219 and x <= 280: print('',['Vidros especiais: Corta fogo, Auto limpeza, Anti-Bala / Blindado','Ponto de coleta proximo: ', ' Ponto Verde Av. Santa Isabel, 2300, Ecoponto Jardim EulinaAv. Mal. Rondon'], '\n', ['temperado, laminado, duplo', 'Ponto de coleta proximo: Ponto verde - Vila Costa e Silva Rua Saldanha da Gama, 77 Ecoponto']) return x #Papel def MaterialEscolhidoPapel(z): x = z if x >= -291 and x <= -120: print('', ['lista telefonica, jornal, revista', 'tipo: papel imprensa', 'Ponto de coleta: (Papeis zambelli)R Leonor Ponessi Cappelli, 210, Parque Rural Fazenda Santa Cândida - Campinas, SP'], '\n', ['A4, A3, A2, A1', 'Tipo: papel para imprimir', 'Ponto de coleta: (comercio de sucatas rodrigues) R Itacuruçá, 480 - Jardim Aeroporto de Viracopos - Campinas, SP - CEP: 13056-094']) elif x > -120 and x <= -90: print('',['Papelão', 'Tipo: papel ondulado', 'Ponto de coleta: (Marapara maravalhas aparas de papel papelão e sucatas) R São José do Rio Preto, 1101 - Jardim Nova Europa - Campinas, SP - CEP: 13040-060'], ' \n', ['embalagens de alimentos e remedios', 'tipo: papel cartão', 'Ponto de coleta: (Latem) Av. Orozimbo Maia, 2062 - Cambuí - Campinas, SP - CEP: 13024-045'], '\n', ['pepel higienico, papel toalha, guarda napos', 'Tipo: papel sanitário', 'Ponto de coleta: ops: esse tipo de papel não pode ser reciclado ;-)']) return x elif x > -90 and x <= 0: print('',['A4, A3, A2, A1', 'Tipo: papel para imprimir', 'Ponto de coleta: (comercio de sucatas rodrigues) R Itacuruçá, 480 - Jardim Aeroporto de Viracopos - Campinas, SP - CEP: 13056-094'], '\n', ['embalagens de alimentos e remedios', 'tipo: papel cartão', 'Ponto de coleta: (Latem) Av. Orozimbo Maia, 2062 - Cambuí - Campinas, SP - CEP: 13024-045']) return x elif x > 0 and x <= 60: print('',['Papelão', 'Tipo: papel ondulado', 'Ponto de coleta: (Marapara maravalhas aparas de papel papelão e sucatas) R São José do Rio Preto, 1101 - Jardim Nova Europa - Campinas, SP - CEP: 13040-060'], '\n', ['lista telefonica, jornal, revista', 'tipo: papel imprensa', 'Ponto de coleta: (Papeis zambelli)R Leonor Ponessi Cappelli, 210, Parque Rural Fazenda Santa Cândida - Campinas, SP']) return x elif x > 60 and x <= 110: print('',['Papelão', 'Tipo: papel ondulado', 'Ponto de coleta: (Marapara maravalhas aparas de papel papelão e sucatas) R São José do Rio Preto, 1101 - Jardim Nova Europa - Campinas, SP - CEP: 13040-060'], '\n', ['lista telefonica, jornal, revista', 'tipo: papel imprensa', 'Ponto de coleta: (Papeis zambelli)R Leonor Ponessi Cappelli, 210, Parque Rural Fazenda Santa Cândida - Campinas, SP'], '\n', ['A4, A3, A2, A1', 'Tipo: papel para imprimir', 'Ponto de coleta: (comercio de sucatas rodrigues) R Itacuruçá, 480 - Jardim Aeroporto de Viracopos - Campinas, SP - CEP: 13056-094']) return x elif x > 110 and x <= 170: print('',['lista telefonica, jornal, revista', 'tipo: papel imprensa', 'Ponto de coleta: (Papeis zambelli)R Leonor Ponessi Cappelli, 210, Parque Rural Fazenda Santa Cândida - Campinas, SP'], '\n', ['embalagens de alimentos e remedios', 'tipo: papel cartão', 'Ponto de coleta: (Latem) Av. Orozimbo Maia, 2062 - Cambuí - Campinas, SP - CEP: 13024-045']) return x elif x > 170 and x <= 220: print('',['embalagens de alimentos e remedios', 'tipo: papel cartão', 'Ponto de coleta: (Latem) Av. Orozimbo Maia, 2062 - Cambuí - Campinas, SP - CEP: 13024-045'], '\n', ['A4, A3, A2, A1', 'Tipo: papel para imprimir', 'Ponto de coleta: (comercio de sucatas rodrigues) R Itacuruçá, 480 - Jardim Aeroporto de Viracopos - Campinas, SP - CEP: 13056-094']) return x elif x > 220 and x <= 280: print('',['lista telefonica, jornal, revista', 'tipo: papel imprensa', 'Ponto de coleta: (Papeis zambelli)R Leonor Ponessi Cappelli, 210, Parque Rural Fazenda Santa Cândida - Campinas, SP'], '\n', ['embalagens de alimentos e remedios', 'tipo: papel cartão', 'Ponto de coleta: (Latem) Av. Orozimbo Maia, 2062 - Cambuí - Campinas, SP - CEP: 13024-045'], '\n', ['Papelão', 'Tipo: papel ondulado', 'Ponto de coleta: (Marapara maravalhas aparas de papel papelão e sucatas) R São José do Rio Preto, 1101 - Jardim Nova Europa - Campinas, SP - CEP: 13040-060']) return x #Metal def MaterialEscolhidoMetal(z): x = z if x > -291 and x <= -200: print('', ['ferro, aço', 'Tipo: ferroso. Ponto de coleta: Ferro Velho Roberto, Compra E Venda De Sucatas: R. Marquês de Abrantes, 600 - Jardim Santa Genebra, Campinas - SP, 13080-220'], '\n', ['alumínio, cobre', 'tipo: não ferroso. Ponto de coleta: FERRO VELHO CLEBER: R. Pref. Celso Daniel, 161 - Vila San Martin, Campinas - SP, 13069-079 '], '\n', ['chumbo, níquel, mercúrio', 'tipo: metal pesado. Ponto de coleta: Sucatas e Metais 2 Irmãos | Ferro Velho em Campinas | Sucatas em Campinas: R. Guaiçara, 354 - Jardim Itatinga, Campinas - SP, 13052-442 ']) return x elif x > -200 and x <= -160: print('não tem metal reciclável proximo') return x elif x > -160 and x <= -110: print('',['alumínio, cobre', 'tipo: não ferroso. Ponto de coleta: FERRO VELHO CLEBER: R. Pref. Celso Daniel, 161 - Vila San Martin, Campinas - SP, 13069-079 ']) return x elif x > -110 and x <= -60: print('',['chumbo, níquel, mercúrio', 'tipo: metal pesado. Ponto de coleta: Sucatas e Metais 2 Irmãos | Ferro Velho em Campinas | Sucatas em Campinas: R. Guaiçara, 354 - Jardim Itatinga, Campinas - SP, 13052-442 '], '\n', ['ferro, aço', 'Tipo: ferroso. Ponto de coleta: Ferro Velho Roberto, Compra E Venda De Sucatas: R. Marquês de Abrantes, 600 - Jardim Santa Genebra, Campinas - SP, 13080-220']) return x elif x > -60 and x <= 0: print('',['chumbo, níquel, mercúrio', 'tipo: metal pesado. Ponto de coleta: Sucatas e Metais 2 Irmãos | Ferro Velho em Campinas | Sucatas em Campinas: R. Guaiçara, 354 - Jardim Itatinga, Campinas - SP, 13052-442 ']) return x elif x > 0 and x <= 60: print('',['ferro, aço', 'Tipo: ferroso. Ponto de coleta: Ferro Velho Roberto, Compra E Venda De Sucatas: R. Marquês de Abrantes, 600 - Jardim Santa Genebra, Campinas - SP, 13080-220'], '\n', ['chumbo, níquel, mercúrio', 'tipo: metal pesado. Ponto de coleta: Sucatas e Metais 2 Irmãos | Ferro Velho em Campinas | Sucatas em Campinas: R. Guaiçara, 354 - Jardim Itatinga, Campinas - SP, 13052-442 ']) return x elif x > 60 and x <= 110: print('',['ferro, aço', 'Tipo: ferroso. Ponto de coleta: Ferro Velho Roberto, Compra E Venda De Sucatas: R. Marquês de Abrantes, 600 - Jardim Santa Genebra, Campinas - SP, 13080-220']) return x elif x > 110 and x <= 170: print('',['alumínio, cobre', 'tipo: não ferroso. Ponto de coleta: FERRO VELHO CLEBER: R. Pref. Celso Daniel, 161 - Vila San Martin, Campinas - SP, 13069-079 '],'\n', ['ferro, aço', 'Tipo: ferroso. Ponto de coleta: Ferro Velho Roberto, Compra E Venda De Sucatas: R. Marquês de Abrantes, 600 - Jardim Santa Genebra, Campinas - SP, 13080-220']) elif x > 170 and x <= 220: print('',['alumínio, cobre', 'tipo: não ferroso. Ponto de coleta: FERRO VELHO CLEBER: R. Pref. Celso Daniel, 161 - Vila San Martin, Campinas - SP, 13069-079 '], '\n', ['ferro, aço', 'Tipo: ferroso. Ponto de coleta: Ferro Velho Roberto, Compra E Venda De Sucatas: R. Marquês de Abrantes, 600 - Jardim Santa Genebra, Campinas - SP, 13080-220']) elif x > 220 and x <= 280: print('não tem metal reciclável proximo') return x #Eletrônicos def MaterialEscolhidoEletro(z): x = z if x > -291 and x <= -200: print('',['Computador, televisor, monitor, notebook, celular, tablet', 'Ponto de coleta: (Reversis - Reciclagem de Eletrônicos e Informática) fica na R. da Abolição, 1900 - Pte. Preta, Campinas - SP, 13041-445'], '\n', ['telefones, impressora, vídeo, cassete, aparelho DVD', '(Ecoponto / Ponto Verde) fica na Av. Santa Isabel, 2300 - Barão Geraldo, Campinas -SP, 13084-012']) return x elif x > -200 and x <= -130: print('',['microondas, modem, caixa de som', 'Ponto de coleta: (Reversis - Reciclagem de Eletrônicos e Informática) fica na R. da Abolição, 1900 - Pte. Preta, Campinas - SP, 13041-445'], '\n', ['no Break, estabilizador, cabos de energia', 'Ponto de coleta: (GMV Recycle) fica na Rod. Lix da Cunha, 911 - Jardim do Lago II, Campinas - SP, 13051-051']) return x elif x > -130 and x <= -85: print(['telefones, impressora, vídeo, cassete, aparelho DVD', '(Ecoponto / Ponto Verde) fica na Av. Santa Isabel, 2300 - Barão Geraldo, Campinas -SP, 13084-012'], '\n', ['microondas, modem, caixa de som', 'Ponto de coleta: (Reversis - Reciclagem de Eletrônicos e Informática) fica na R. da Abolição, 1900 - Pte. Preta, Campinas - SP, 13041-445']) return x elif x > -85 and x <= -20: print(['telefones, impressora, vídeo, cassete, aparelho DVD', '(Ecoponto / Ponto Verde) fica na Av. Santa Isabel, 2300 - Barão Geraldo, Campinas -SP, 13084-012'], '\n', ['no Break, estabilizador, cabos de energia', 'Ponto de coleta: (GMV Recycle) fica na Rod. Lix da Cunha, 911 - Jardim do Lago II, Campinas - SP, 13051-051']) elif x > -20 and x <= 20: print('não tem lixo eletrônico ao redor') return x elif x > 20 and x <= 80: print(['microondas, modem, caixa de som', 'Ponto de coleta: (Reversis - Reciclagem de Eletrônicos e Informática) fica na R. da Abolição, 1900 - Pte. Preta, Campinas - SP, 13041-445'], '\n', ['Computador, televisor, monitor, notebook, celular, tablet', 'Ponto de coleta: (Reversis - Reciclagem de Eletrônicos e Informática) fica na R. da Abolição, 1900 - Pte. Preta, Campinas - SP, 13041-445']) return x elif x > 80 and x <= 130: print(['Computador, televisor, monitor, notebook, celular, tablet', 'Ponto de coleta: (Reversis - Reciclagem de Eletrônicos e Informática) fica na R. da Abolição, 1900 - Pte. Preta, Campinas - SP, 13041-445'], '\n', ['telefones, impressora, vídeo, cassete, aparelho DVD', '(Ecoponto / Ponto Verde) fica na Av. Santa Isabel, 2300 - Barão Geraldo, Campinas -SP, 13084-012'], '\n', ['microondas, modem, caixa de som', 'Ponto de coleta: (Reversis - Reciclagem de Eletrônicos e Informática) fica na R. da Abolição, 1900 - Pte. Preta, Campinas - SP, 13041-445']) return x elif x > 130 and x <= 180: print(['telefones, impressora, vídeo, cassete, aparelho DVD', '(Ecoponto / Ponto Verde) fica na Av. Santa Isabel, 2300 - Barão Geraldo, Campinas -SP, 13084-012']) return x elif x > 180 and x <= 230: print(['Computador, televisor, monitor, notebook, celular, tablet', 'Ponto de coleta: (Reversis - Reciclagem de Eletrônicos e Informática) fica na R. da Abolição, 1900 - Pte. Preta, Campinas - SP, 13041-445'], '\n', ['no Break, estabilizador, cabos de energia', 'Ponto de coleta: (GMV Recycle) fica na Rod. Lix da Cunha, 911 - Jardim do Lago II, Campinas - SP, 13051-051']) return x elif x > 230 and x <= 280: print(['Computador, televisor, monitor, notebook, celular, tablet', 'Ponto de coleta: (Reversis - Reciclagem de Eletrônicos e Informática) fica na R. da Abolição, 1900 - Pte. Preta, Campinas - SP, 13041-445']) return x #Converte uma opção d0 menu (1, 2, 3, etc.) def MaterialSelecionado(latitude, longitude, opcao): if latitude < -90 or latitude > 90 or longitude < -180 or longitude > 180: return 'coordenadas invalidas' elif (-90 <= latitude <= 90) and (-180 <= longitude <= 180): float(latitude) float(longitude) z = latitude + longitude if opcao == 1: return MaterialEscolhidoPlastico(z) elif opcao == 2: return MaterialEscolhidoMetal(z) elif opcao == 3: return MaterialEscolhidoVidro(z) elif opcao == 4: return MaterialEscolhidoPapel(z) elif opcao == 5: return MaterialEscolhidoEletro(z) # teste condicional coordenadas para material reciclável proximo, def coordenada_la(latitude, longitude): if latitude < -90 or latitude > 90 or longitude < -180 or longitude > 180: return 'coordenadas invalidas' elif -90 <= latitude <= 90 and -180 <= longitude <= 180: float(latitude) float(longitude) # metodo simples para converter coordenadas em defimal x = latitude + longitude if -291 >= x <= -230: x = ['no Break', 'cobre', 'níquel', 'Pote de sorvete', 'Garrafas Pet', 'embalagem de cosméticos'] return x elif -229 >= x <= -200: x = ['embalagens de alimentos ', 'guarda napos', 'Papelão'] return x elif -199 >= x <= -152: x = ['aparelho DVD, telefones, frascos shampoo, embalagem de leite'] return x elif -151 >= x <= -116: x = ['televisor, revista, Garrafa de alvejante, mercúrio'] return x elif -115 >= x <= -94: x = ['PVC, embalagem de cosméticos, embalagem de leite, Garrafa detergente '] return x elif -93 >= x <= -79: x = ['cabos de energia, embalagens de alimentos, notebook '] return x elif -78 >= x <= -50: x = ['caixa de som, impressora, monitor, tablet, mercúrio '] return x elif -49 >= x <= -1: x = ['Vidro para Pavimentos, vidro temperado, brinquedo lego'] return x elif -0 >= x <= 30: x = ['impressora, cabos de energia, frascos shampoo, alumínio'] return x elif 31 >= x <= 51: x = ['estabilizador, revista, partes internas de geladeira'] return x elif 52 >= x <= 92: x = ['Computador, ferro, cobre, brinquedo lego'] return x elif 93 >= x <= 110: x = ['brinquedo lego, remedios, tablet, lista telefonica'] return x elif 111 >= x <= 135: x = ['sacola de supermercado, microondas, papel para imprimir, televisor'] return x elif 136 >= x <= 157: x = ['brinquedos de plastico, garrafa de vidro, telefones, aparelho DVD'] return x elif 158 >= x <= 178: x = ['painel de vidro, baterias, peças de carro, notebook'] return x elif 179 >= x <= 200: x = ['vidro termoendurecido, vidro acústico, janela, vidro temperado'] return x elif 201 >= x <= 220: x = ['sacola plastica, garrafa pet, pote de alimento, caixa de remedio'] return x elif 221 >= x <= 240: x = ['vidro termoendurecido, vidro lacado, vidro controle Acústico, vidro controle Solar, ' 'pepel higienico, papel toalha, guarda napos'] return x elif 241 >= x <= 251: x = ['sacola plastica, garrafa pet, pote de alimento, caixa de remedio, caixa de som, impressora'] return x elif 252 >= x <= 260: x = ['Computador, ferro, baterias, peças de carro'] return x elif 261 >= x <= 265: x = ['embalagens de alimentos e remedios, lista telefonica, jornal'] return x elif 230 >= x <= 280: x = ['baterias, celulares e telefones'] return x else: x = ['painel de vidro, baterias, peças de carro, notebook, caixa de som, impressora, monitor, tablet, mercúrio'] return x #Pontos de coleta def PontosColeta(latitude,longitude): if latitude < -91 or latitude > 90 or longitude < -181 or longitude > 180: return 'coordenadas invalidas, tente novamente' elif -90 <= latitude <= 90 and -180 <= longitude <= 180: float(latitude) float(longitude) # metodo simples de calcular lugares proximos x = latitude + longitude if -291 >= x <= -240: print('', ['(GMV Recycle) fica na Rod. Lix da Cunha, 911 - Jardim do Lago II, Campinas - SP, 13051-051'], '\n', ['(FERRO VELHO CLEBER) R. Pref. Celso Daniel, 161 - Vila San Martin, Campinas - SP, 13069-079']) return latitude, longitude elif -239 >= x <= -215: print('', ['(GMV Recycle) fica na Rod. Lix da Cunha, 911 - Jardim do Lago II, Campinas - SP, 13051-051'],'\n', ['Rua Manoel Gomes Ferreira, esq. com Rua José Ramos Catarino'], '\n', ['Sucatas e Metais 2 Irmãos | Ferro Velho em Campinas | Sucatas em Campinas: R. Guaiçara, 354 - Jardim Itatinga, Campinas - SP, 13052-442']) return latitude, longitude elif -239 >= x <= -215: print('', ['(Latem) Av. Orozimbo Maia, 2062 - Cambuí - Campinas, SP - CEP: 13024-045'], '\n', ['Av. São José dos campos s/ n°, Vl Campos Sales'], '\n', ['(Reversis - Reciclagem de Eletrônicos e Informática) fica na R. da Abolição, 1900 - Pte. Preta, Campinas - SP, 13041-445']) return latitude, longitude elif -239 >= x <= -215: print('', ['Rua josé martins lourenço, esq. com Rua Geraldo Bretas, jd. São Gabriel'], '\n', ['Ponto verde - Vila Costa e Silva Rua Saldanha da Gama, 77 Ecoponto'], '\n', ['(Papeis zambelli)R Leonor Ponessi Cappelli, 210, Parque Rural Fazenda Santa Cândida - Campinas, SP'], '\n', ['FERRO VELHO CLEBER: R. Pref. Celso Daniel, 161 - Vila San Martin, Campinas - SP, 13069-079']) return latitude, longitude elif -214 >= x <= -190: print('', ['Rua Serra Dourada 165, Campinas, SP, 13100-312'], '\n', ['Rua Celso soares Couto s/n°, Pq. Itajaí'], '\n', ['Ferro Velho Roberto, Compra E Venda De Sucatas: R. Marquês de Abrantes, 600 - Jardim Santa Genebra, Campinas - SP, 13080-220'], '\n', ['Ponto Verde Av. Santa Isabel, 2300, Ecoponto Jardim EulinaAv. Mal. Rondon']) return latitude, longitude elif -189 >= x <= -169: print('', ['(Papeis zambelli)R Leonor Ponessi Cappelli, 210, Parque Rural Fazenda Santa Cândida - Campinas, SP'], '\n', ['Ponto verde - Vila Costa e Silva Rua Saldanha da Gama, 77 Ecoponto'], '\n', ['(Ecoponto / Ponto Verde) fica na Av. Santa Isabel, 2300 - Barão Geraldo, Campinas -SP, 13084-012'], '\n', ['R São José do Rio Preto, 1101 - Jardim Nova Europa - Campinas, SP - CEP: 13040-060']) return latitude, longitude elif -168 >= x <= -148: print('', ['Ponto de coleta: Rua Serra Dourada 165, Campinas, SP, 13100-312'], '\n', ['Ponto-Verde Av. Santa Isabel, 2300 Ecoponto Jardim Eulina Av. Mal. Rondon'], '\n', ['(Reversis - Reciclagem de Eletrônicos e Informática) fica na R. da Abolição, 1900 - Pte. Preta, Campinas - SP, 13041-445'], '\n', ['(Latem) Av. Orozimbo Maia, 2062 - Cambuí - Campinas, SP - CEP: 13024-045']) return latitude, longitude elif -147 >= x <= -120: print('', ['Ferro Velho Roberto, Compra E Venda De Sucatas: R. Marquês de Abrantes, 600 - Jardim Santa Genebra, Campinas - SP, 13080-220'], '\n', ['Av. Marechal Rondon, esq. com Rua josé Manuel Veiga, jd. Eulina'], '\n', ['(Ecoponto / Ponto Verde) fica na Av. Santa Isabel, 2300 - Barão Geraldo, Campinas -SP, 13084-012'], '\n', ['Rua Manoel Gomes Ferreira, esq. com Rua José Ramos Catarino']) return latitude, longitude elif -119 >= x <= -100: print('', ['(Papeis zambelli)R Leonor Ponessi Cappelli, 210, Parque Rural Fazenda Santa Cândida - Campinas, SP'], '\n', ['(Latem) Av. Orozimbo Maia, 2062 - Cambuí - Campinas, SP - CEP: 13024-045'], '\n', ['(GMV Recycle) fica na Rod. Lix da Cunha, 911 - Jardim do Lago II, Campinas - SP, 13051-051'], '\n', ['Ponto verde - Vila Costa e Silva Rua Saldanha da Gama, 77 Ecoponto']) return latitude, longitude elif -99 >= x <= -84: print('', ['Rua Celso soares Couto s/n°, Pq. Itajaí'], '\n', ['Ponto verde - Vila Costa e Silva Rua Saldanha da Gama, 77 Ecoponto'], '\n', ['Rua josé martins lourenço, esq. com Rua Geraldo Bretas, jd. São Gabriel']) return latitude, longitude elif -83 >= x <= -64: print('', ['(Papeis zambelli)R Leonor Ponessi Cappelli, 210, Parque Rural Fazenda Santa Cândida -- Campinas, SP'], '\n', ['(comercio de sucatas rodrigues) R Itacuruçá, 480 - Jardim Aeroporto de Viracopos - Campinas, SP - CEP: 13056-094'], '\n', ['R São José do Rio Preto, 1101 - Jardim Nova Europa - Campinas, SP - CEP: 13040-060'], '\n', ['Ferro Velho Roberto, Compra E Venda De Sucatas: R. Marquês de Abrantes, 600 - Jardim Santa Genebra, Campinas - SP, 13080-220']) return latitude, longitude elif -63 >= x <= -20: print('', ['(Marapara maravalhas aparas de papel papelão e sucatas) R São José do Rio Preto, 1101 - Jardim Nova Europa - Campinas, SP - CEP: 13040-060'], '\n', ['Ponto verde - Vila Costa e Silva Rua Saldanha da Gama, 77 Ecoponto'], '\n', ['FERRO VELHO CLEBER: R. Pref. Celso Daniel, 161 - Vila San Martin, Campinas - SP, 13069-079'], '\n', ['Rua josé martins lourenço, esq. com Rua Geraldo Bretas, jd. São Gabriel']) return latitude, longitude elif -19 >= x <= 2: print('', ['R São José do Rio Preto, 1101 - Jardim Nova Europa - Campinas, SP - CEP: 13040-060'], '\n', ['Ponto-Verde Av. Santa Isabel, 2300 Ecoponto Jardim Eulina Av. Mal. Rondon'], '\n', ['(Ecoponto / Ponto Verde) fica na Av. Santa Isabel, 2300 - Barão Geraldo, Campinas -SP, 13084-012'], '\n', ['FERRO VELHO CLEBER: R. Pref. Celso Daniel, 161 - Vila San Martin, Campinas - SP, 13069-079']) return latitude, longitude elif 3 >= x <= 26: print('', ['(Latem) Av. Orozimbo Maia, 2062 - Cambuí - Campinas, SP - CEP: 13024-045'], '\n', ['Rua Serra Dourada 165, Campinas, SP, 13100-312'], '\n', ['FERRO VELHO CLEBER: R. Pref. Celso Daniel, 161 - Vila San Martin, Campinas - SP, 13069-079'], '\n', ['Ponto-Verde Av. Santa Isabel, 2300 Ecoponto Jardim Eulina Av. Mal. Rondon']) return latitude, longitude elif 27 >= x <= 57: print('', ['Rua Manoel Gomes Ferreira, esq. com Rua José Ramos Catarino'], '\n', ['(Ecoponto / Ponto Verde) fica na Av. Santa Isabel, 2300 - Barão Geraldo, Campinas -SP, 13084-012'], '\n', ['(Reversis - Reciclagem de Eletrônicos e Informática) fica na R. da Abolição, 1900 - Pte. Preta, Campinas - SP, 13041-445']) return latitude, longitude elif 58 >= x <= 90: print('', ['(Marapara maravalhas aparas de papel papelão e sucatas) R São José do Rio Preto, 1101 - Jardim Nova Europa - Campinas, SP - CEP: 13040-060'], '\n', ['Ferro Velho Roberto, Compra E Venda De Sucatas: R. Marquês de Abrantes, 600 - Jardim Santa Genebra, Campinas - SP, 13080-220']) return latitude, longitude elif 91 >= x <= 130: print('', ['Ponto verde - Vila Costa e Silva Rua Saldanha da Gama, 77 Ecoponto'], '\n', ['Ferro Velho Roberto, Compra E Venda De Sucatas: R. Marquês de Abrantes, 600 - Jardim Santa Genebra,' + ' Campinas - SP, 13080-220'], '\n', ['(GMV Recycle) fica na Rod. Lix da Cunha, 911 - Jardim do Lago II, Campinas - SP, 13051-051'], '\n', ['(Reversis - Reciclagem de Eletrônicos e Informática) fica na R. da Abolição, 1900 - Pte. Preta, ' + 'Campinas - SP, 13041-445']) return latitude, longitude elif 131 >= x <= 163: print('', ['Ponto verde - Vila Costa e Silva Rua Saldanha da Gama, 77 Ecoponto'], '\n', ['(Papeis zambelli)R Leonor Ponessi Cappelli, 210, Parque Rural Fazenda Santa Cândida - Campinas, SP'] , '\n', ['(comercio de sucatas rodrigues) R Itacuruçá, 480 - Jardim Aeroporto de Viracopos - Campinas, ' + 'SP - CEP: 13056-094'], '\n',) return latitude, longitude elif 164 >= x <= 200: print('', ['Av. São José dos campos s/ n°, Vl Campos Sales'], '\n', ['Ponto-Verde Av. Santa Isabel, 2300 Ecoponto Jardim Eulina Av. Mal. Rondon'], '\n', ['Av. Orozimbo Maia, 2062 - Cambuí - Campinas, SP - CEP: 13024-045'], '\n', ['R São José do Rio Preto, 1101 - Jardim Nova Europa - Campinas, SP - CEP: 13040-060']) return latitude, longitude elif 201 >= x <= 231: print('', ['Av. Santa Isabel, 2300 - Barão Geraldo, Campinas -SP, 13084-012'], '\n', ['(Reversis - Reciclagem de Eletrônicos e Informática) fica na R. da Abolição, 1900 - Pte. Preta, Campinas - SP, 13041-445'], '\n', ['Ponto-Verde Av. Santa Isabel, 2300 Ecoponto Jardim Eulina Av. Mal. Rondon']) return latitude, longitude elif 232 >= x <= 260: print('', ['Rua josé martins lourenço, esq. com Rua Geraldo Bretas, jd. São Gabriel'], '\n', ['Sucatas em Campinas: R. Guaiçara, 354 - Jardim Itatinga, Campinas - SP, 13052-442']) return latitude, longitude elif 261 >= x <= 300: print('', ['(Reversis - Reciclagem de Eletrônicos e Informática) fica na R. da Abolição, 1900 - Pte. Preta, Campinas - SP, 13041-445'], '\n', ['Av. Marechal Rondon, esq. com Rua josé Manuel Veiga, jd. Eulina'], '\n', ['Ponto verde - Vila Costa e Silva Rua Saldanha da Gama, 77 Ecoponto'], '\n', ['Rua josé martins lourenço, esq. com Rua Geraldo Bretas, jd. São Gabriel']) return latitude, longitude elif x <= 270: print('', [ '(Reversis - Reciclagem de Eletrônicos e Informática) fica na R. da Abolição, 1900 - Pte. Preta, Campinas - SP, 13041-445'], '\n', ['Av. Marechal Rondon, esq. com Rua josé Manuel Veiga, jd. Eulina'], '\n', ['Av. Orozimbo Maia, 2062 - Cambuí - Campinas, SP - CEP: 13024-045']) return latitude, longitude else: return 'Coordenadas inválidas' print('Seja bem-vindo!') print("""Este programa tem como finalidade localizar tipos de materiais e os pontos de coleta para a reciclagem próximos de você. Observação: coordenada latitude começa de -90 até 90 e longitude de -180 até 180, cuidado com as informações que for digitar """) opcao = 1 #Menu de opções while opcao != 9: print(""" Menu de opções: [1] - Plastico [2] - Metal [3] - Vidro [4] - Papel [5] - Eletrônicos [6] - Materiais proximos para coletar [7] - Pontos para coleta proximos [9] - Encerrar programa""") opcao = float(input('Digite a opção desejada: ')) z = opcao if z == 1: print('Você selecionou "Plastico" \nlocalizando pontos de coleta proximos') latitude = float(input('latitude: ')) longitude = float(input('longitude: ')) MaterialSelecionado(latitude, longitude, opcao) print("""Sobre: São formados por polímeros(Tereftalato de Polietileno, Polietileno de Alta Densidade Poli cloreto de Vinila, Polietileno de Baixa Densidade, Polipropileno e Poliestireno), divididos em grupos de termoplásticos(podem ser reciclado) e termorrígidos (não são recicláveis). Reutilização: * vaso para plantas utilizando PETS * Porta lápis * Fazer decoração para casa * casa de pássaros * brinquedos """) elif z == 2: print('Você selecionou "Metal" \nlocalizando pontos de coleta proximos') latitude = float(input('latitude: ')) longitude = float(input('longitude: ')) MaterialSelecionado(latitude, longitude, opcao) print("""Sobre: Separados por ferrosos e não ferrosos. Ferrosos possuem propriedades magnéticas, já os não ferrosos não possuem quantia grande de ferro. Reutilização: São derretidos para recriar outros tipos de materiais. Os metais mais utilizados são alumínio, ferro, aço e cobre.""") elif z == 3: print('Você selecionou "Vidro" \nlocalizando pontos de coleta proximos') latitude = float(input('latitude: ')) longitude = float(input('longitude: ')) MaterialSelecionado(latitude, longitude, opcao) print("""Sobre: é uma misturara de produtos inorgânicos: dióxido de silício, barrilha ou soda (carbonato de sódio - Na2CO3) e calcário (carbonato de cálcio – CaCO3). a mistura dos três podem criar o vidro. Reutilização: O vidro no seu processo quando reaproveitado, é utilizado para criar outros tipos de materiais feito de vidro """) elif z == 4: print('Você selecionou "Papel" \nlocalizando pontos de coleta proximos') latitude = float(input('latitude: ')) longitude = float(input('longitude: ')) MaterialSelecionado(latitude, longitude, opcao) print("""Sobre: O papel comum tem como matéria prima, fibras de celulose extraídas de arvores, como o pinheiro e o eucalipto. Reutilização: * fazer embrulho para presentes; * fatiado serve para forro de gaiola; * possível fazer fogueira, para acender churrasqueira; * recortes serve para fazer artesanato; * papeis velhos é possível criar uma folha nova reciclada""") elif z == 5: print('Você selecionou "Eletrônicos" \nlocalizando pontos de coleta proximos') latitude = float(input('latitude: ')) longitude = float(input('longitude: ')) MaterialSelecionado(latitude, longitude, opcao) print(""" Sobre: são componentes que controlados por circuitos elétricos, esse circuito pode se manifestar de diversas maneiras, como visual, sonora, mecânica, emitir ondas de rádio e muito mais. Reutilização: * recriar novos equipamentos; * vidro pode ser vendido para empresas que usam matéria prima; """) elif z == 6: print('localizando materiais reciclaveis proximos') la = float(input('latitude: ')) lon = float(input('longitude: ')) print(coordenada_la(la, lon)) elif z == 7: print('localizando pontos de coleta proximos') latitude = float(input('latitude: ')) longitude = float(input('longitude: ')) print(PontosColeta(latitude, longitude)) elif z == 9: print("""Autores: Lucas Alves de Souza Marques Timoteo - N555696 Leonardo Slonzo Alvares Portes – F3079A9 Nathan Duarte da Silva – N6188C2 Rafael Mascarenhas – F19DAD3 Vinicius de Campos da Silva – F206BA7 """) print('Encerrando programa!!') exit() else: print('valor invalido, tente novamente')
60.538835
199
0.610857
4,811
37,413
4.752858
0.123675
0.044608
0.036386
0.017843
0.794236
0.787195
0.779279
0.769658
0.764672
0.750809
0
0.064645
0.269398
37,413
617
200
60.636953
0.771384
0.009088
0
0.508137
0
0.164557
0.645079
0.000567
0
0
0
0.001621
0
1
0.014467
false
0
0
0
0.18264
0.155515
0
0
0
null
0
0
0
0
1
1
1
1
1
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0
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0
0
0
0
0
0
0
0
6
0ec8072a94e1f2ab553792dd9fa919a2820b9957
184
py
Python
page_counter/__init__.py
bircow/page-counter
aca721fdbb7bec2d0352136a32065d8950154495
[ "MIT" ]
2
2018-05-03T21:06:07.000Z
2018-05-03T21:06:10.000Z
page_counter/__init__.py
bircow/page-counter
aca721fdbb7bec2d0352136a32065d8950154495
[ "MIT" ]
2
2018-05-03T12:45:45.000Z
2018-05-03T20:14:06.000Z
page_counter/__init__.py
bircow/page-counter
aca721fdbb7bec2d0352136a32065d8950154495
[ "MIT" ]
null
null
null
from page_counter.dialects import dialect_choices, dialect_names from page_counter.page_counter import PageCounter __all__ = [ 'PageCounter', 'dialect_choices', 'dialect_names' ]
26.285714
64
0.809783
22
184
6.272727
0.454545
0.23913
0.217391
0.376812
0
0
0
0
0
0
0
0
0.11413
184
6
65
30.666667
0.846626
0
0
0
0
0
0.211957
0
0
0
0
0
0
1
0
false
0
0.4
0
0.4
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null
1
1
1
0
0
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0
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0
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null
0
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0
0
0
0
1
0
0
0
0
6
0ecda381a4fad88bafeed2b8177bda8d90adaad0
3,340
py
Python
test_twitter.py
asyncy/asyncy-twitter
ecc1a62e3acb32c36277782c9813ff3b094ed6a4
[ "MIT" ]
2
2019-11-09T05:26:01.000Z
2020-07-19T07:06:02.000Z
test_twitter.py
asyncy/asyncy-twitter
ecc1a62e3acb32c36277782c9813ff3b094ed6a4
[ "MIT" ]
2
2018-08-07T05:29:39.000Z
2019-05-20T13:05:36.000Z
test_twitter.py
asyncy/asyncy-twitter
ecc1a62e3acb32c36277782c9813ff3b094ed6a4
[ "MIT" ]
2
2019-06-28T07:16:51.000Z
2019-08-30T11:01:14.000Z
from http import HTTPStatus import sys import os from stream import Stream def test_tweet_request(client): data = {"status": "Mock status"} url = "/tweet" response = client.post(url, json=data) assert response.status_code == HTTPStatus.OK def test_tweet_request_fail(client): data = {"status": ""} url = "/tweet" response = client.post(url, json=data) assert response.status_code == HTTPStatus.BAD_REQUEST def test_retweet_request(client): data = {"tweet": os.environ["RETWEET_ID"]} url = "/retweet" response = client.post(url, json=data) assert response.status_code == HTTPStatus.OK def test_retweet_request_fail(client): data = {"id": ""} url = "/retweet" response = client.post(url, json=data) assert response.status_code == HTTPStatus.BAD_REQUEST def test_follow_user_id_request(client): data = {"id": os.environ["USER_ID"]} url = "/follow" response = client.post(url, json=data) assert response.status_code == HTTPStatus.OK def test_follow_screen_name_request(client): data = {"handle": os.environ["SCREEN_NAME"]} url = "/follow" response = client.post(url, json=data) assert response.status_code == HTTPStatus.OK def test_follow_request_fail(client): data = {} url = "/follow" response = client.post(url, json=data) assert response.status_code == HTTPStatus.BAD_REQUEST def test_unfollow_id_request(client): data = {"id": os.environ["USER_ID"]} url = "/unfollow" response = client.post(url, json=data) assert response.status_code == HTTPStatus.OK def test_unfollow_screen_name_request(client): data = {"screen_name": os.environ["SCREEN_NAME"]} url = "/unfollow" response = client.post(url, json=data) assert response.status_code == HTTPStatus.OK def test_unfollow_request_fail(client): data = {} url = "/unfollow" response = client.post(url, json=data) assert response.status_code == HTTPStatus.BAD_REQUEST def test_followers_id_request(client): data = {"user": os.environ["RETWEET_ID"]} url = "/followers" response = client.post(url, json=data) assert response.status_code == HTTPStatus.OK def test_followers_screen_name_request(client): data = {"screen_name": os.environ["SCREEN_NAME"]} url = "/followers" response = client.post(url, json=data) assert response.status_code == HTTPStatus.OK def test_followers_request_fail(client): data = {} url = "/followers" response = client.post(url, json=data) assert response.status_code == HTTPStatus.BAD_REQUEST def test_subscribe_request(client): data = { "data": {"track": "Article370", "isTesting": True}, "id": "307d6a9a-60da-4915-9ee5-bae3c0238874", "endpoint": "https://webhook.site/#!/832c4ebb-8b80-4330-bbfb-337aea98a579", } url = "/stream/subscribe" response = client.post(url, json=data) assert response.status_code == HTTPStatus.OK def test_subscribe_request_fail(client): data = { "data": {"isTesting": True}, "id": "307d6a9a-60da-4915-9ee5-bae3c023887f", "endpoint": "https://webhook.site/#!/832c4ebb-8b80-4330-bbfb-337aea98a579", } url = "/stream/subscribe" response = client.post(url, json=data) assert response.status_code == HTTPStatus.BAD_REQUEST
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6
161d07ab1232b0a05380410d4438fa4281cc2323
21
py
Python
Feature/hessian_matrix_det.py
Joevaen/Scikit-image_On_CT
e3bf0eeadc50691041b4b7c44a19d07546a85001
[ "Apache-2.0" ]
null
null
null
Feature/hessian_matrix_det.py
Joevaen/Scikit-image_On_CT
e3bf0eeadc50691041b4b7c44a19d07546a85001
[ "Apache-2.0" ]
null
null
null
Feature/hessian_matrix_det.py
Joevaen/Scikit-image_On_CT
e3bf0eeadc50691041b4b7c44a19d07546a85001
[ "Apache-2.0" ]
null
null
null
# 计算图像上的近似Hessian行列式。
21
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0.857143
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6
162445e74600be1a9947649c0cfc4437b53878a0
12,083
py
Python
Tests/Plot/test_Lam_Mag_inset_plot.py
mxgnsr/pyleecan
2b0a04e4ae67c073a91362ab42332908fef53bdd
[ "Apache-2.0" ]
2
2019-06-08T15:04:39.000Z
2020-09-07T13:32:22.000Z
Tests/Plot/test_Lam_Mag_inset_plot.py
mxgnsr/pyleecan
2b0a04e4ae67c073a91362ab42332908fef53bdd
[ "Apache-2.0" ]
null
null
null
Tests/Plot/test_Lam_Mag_inset_plot.py
mxgnsr/pyleecan
2b0a04e4ae67c073a91362ab42332908fef53bdd
[ "Apache-2.0" ]
null
null
null
# -*- coding: utf-8 -*- from os.path import join from unittest import TestCase import matplotlib.pyplot as plt from numpy import pi from pyleecan.Classes.Frame import Frame from pyleecan.Classes.LamSlotMag import LamSlotMag from pyleecan.Classes.Lamination import Lamination from pyleecan.Classes.MagnetType10 import MagnetType10 from pyleecan.Classes.MagnetType11 import MagnetType11 from pyleecan.Classes.MagnetType12 import MagnetType12 from pyleecan.Classes.MagnetType13 import MagnetType13 from pyleecan.Classes.MagnetType14 import MagnetType14 from pyleecan.Classes.Shaft import Shaft from pyleecan.Classes.VentilationCirc import VentilationCirc from pyleecan.Classes.VentilationTrap import VentilationTrap from pyleecan.Classes.MatMagnetics import MatMagnetics from pyleecan.Classes.SlotMFlat import SlotMFlat from pyleecan.Classes.SlotMPolar import SlotMPolar from Tests import save_plot_path as save_path class test_Lam_Mag_inset_plot(TestCase): """unittest for Lamination with inset magnet plot""" def test_Lam_Mag_10_inset(self): """Test machine plot with Magnet 10 inset""" plt.close("all") rotor = LamSlotMag( Rint=40e-3, Rext=100e-3, is_internal=True, is_stator=False, L1=0.45, Nrvd=1, Wrvd=0.05, ) magnet = [MagnetType10(Lmag=0.5, Hmag=0.02, Wmag=0.04)] rotor.slot = SlotMFlat(Zs=4, W0=0.04, H0=0.02, magnet=magnet) rotor.mat_type.mag = MatMagnetics(Wlam=0.5e-3) rotor.axial_vent.append(VentilationCirc(Zh=4, Alpha0=0, D0=2.5e-3, H0=50e-3)) rotor.axial_vent.append(VentilationCirc(Zh=8, Alpha0=0, D0=5e-3, H0=60e-3)) rotor.axial_vent.append(VentilationCirc(Zh=12, Alpha0=0, D0=10e-3, H0=70e-3)) stator = LamSlotMag( Rint=110e-3, Rext=200e-3, is_internal=False, is_stator=True, L1=0.45, Nrvd=1, Wrvd=0.05, ) magnet2 = [MagnetType10(Lmag=0.5, Hmag=0.02, Wmag=0.04)] stator.slot = SlotMFlat(Zs=8, W0=0.04, W3=2 * pi / 64, H0=0.02, magnet=magnet2) stator.mat_type.mag = MatMagnetics(Wlam=0.5e-3) stator.axial_vent.append( VentilationTrap(Zh=6, Alpha0=pi / 6, W1=10e-3, W2=20e-3, D0=0.02, H0=0.140) ) stator.axial_vent.append( VentilationTrap(Zh=6, Alpha0=pi / 6, W1=20e-3, W2=40e-3, D0=0.02, H0=0.170) ) rotor.plot() fig = plt.gcf() self.assertEqual(len(fig.axes[0].patches), 30) fig.savefig(join(save_path, "test_Lam_Mag_10i_2-Rotor.png")) stator.plot() fig = plt.gcf() self.assertEqual(len(fig.axes[0].patches), 22) fig.savefig(join(save_path, "test_Lam_Mag_10i_3-Stator.png")) rotor.slot.magnet = [] rotor.plot() fig = plt.gcf() self.assertEqual(len(fig.axes[0].patches), 26) fig.savefig(join(save_path, "test_Lam_Mag_10i_4-Rotor_no_mag.png")) def test_Lam_Mag_10_inset_2_mag(self): """Test machine plot with Magnet 10 inset with two magnet in the slot""" plt.close("all") rotor = LamSlotMag( Rint=40e-3, Rext=100e-3, is_internal=True, is_stator=False, L1=0.45, Nrvd=1, Wrvd=0.05, ) rotor.slot = SlotMFlat( Zs=4, W0=0.03, H0=0.02, W3=2 * pi / 60, magnet=[ MagnetType10(Lmag=0.5, Hmag=0.015, Wmag=0.03), MagnetType10(Lmag=0.5, Hmag=0.015, Wmag=0.03), ], ) rotor.mat_type.mag = MatMagnetics(Wlam=0.5e-3) rotor.axial_vent.append(VentilationCirc(Zh=4, Alpha0=0, D0=2.5e-3, H0=50e-3)) rotor.axial_vent.append(VentilationCirc(Zh=8, Alpha0=0, D0=5e-3, H0=60e-3)) rotor.axial_vent.append(VentilationCirc(Zh=12, Alpha0=0, D0=10e-3, H0=70e-3)) stator = LamSlotMag( Rint=110e-3, Rext=200e-3, is_internal=False, is_stator=True, L1=0.45, Nrvd=1, Wrvd=0.05, ) stator.slot = SlotMFlat( Zs=8, W0=0.03, W3=2 * pi / 64, H0=0.02, magnet=[ MagnetType10(Lmag=0.5, Hmag=0.025, Wmag=0.03), MagnetType10(Lmag=0.5, Hmag=0.025, Wmag=0.03), ], ) stator.mat_type.mag = MatMagnetics(Wlam=0.5e-3) stator.axial_vent.append( VentilationTrap(Zh=6, Alpha0=pi / 6, W1=10e-3, W2=20e-3, D0=0.02, H0=0.140) ) stator.axial_vent.append( VentilationTrap(Zh=6, Alpha0=pi / 6, W1=20e-3, W2=40e-3, D0=0.02, H0=0.170) ) rotor.plot() fig = plt.gcf() self.assertEqual(len(fig.axes[0].patches), 34) fig.savefig(join(save_path, "test_Lam_Mag_10i_2_Mag_2-Rotor.png")) stator.plot() fig = plt.gcf() self.assertEqual(len(fig.axes[0].patches), 30) fig.savefig(join(save_path, "test_Lam_Mag_10i_3_Mag_2-Stator.png")) def test_Lam_Mag_11_inset(self): """Test machine plot with Magnet 11 inset""" plt.close("all") rotor = LamSlotMag( Rint=40e-3, Rext=90e-3, is_internal=True, is_stator=False, L1=0.4, Nrvd=2, Wrvd=0.05, ) rotor.mat_type.mag = MatMagnetics(Wlam=0.5e-3) magnet = [MagnetType11(Lmag=0.5, Hmag=0.01, Wmag=pi / 8)] rotor.slot = SlotMPolar(Zs=8, W0=pi / 8, H0=0.01, W3=2 * pi / 64, magnet=magnet) stator = LamSlotMag( Rint=115e-3, Rext=200e-3, is_internal=False, is_stator=True, L1=0.4, Nrvd=2, Wrvd=0.05, ) magnet2 = [MagnetType11(Lmag=0.35, Hmag=0.03, Wmag=pi / 4)] stator.slot = SlotMPolar( Zs=4, W0=pi / 4, H0=0.02, W3=2 * pi / 64, magnet=magnet2 ) stator.mat_type.mag = MatMagnetics(Wlam=0.5e-3) rotor.plot() fig = plt.gcf() self.assertEqual(len(fig.axes[0].patches), 10) fig.savefig(join(save_path, "test_Lam_Mag_11i_2-Rotor.png")) stator.plot() fig = plt.gcf() self.assertEqual(len(fig.axes[0].patches), 6) fig.savefig(join(save_path, "test_Lam_Mag_11i_3-Stator.png")) rotor.slot.magnet = [] rotor.plot() fig = plt.gcf() self.assertEqual(len(fig.axes[0].patches), 2) fig.savefig(join(save_path, "test_Lam_Mag_11i_4-Rotor_no_mag.png")) def test_Lam_Mag_11_inset_2_mag(self): """Test machine plot with Magnet 11 inset with two magnet in the slot""" plt.close("all") rotor = LamSlotMag( Rint=40e-3, Rext=90e-3, is_internal=True, is_stator=False, L1=0.4, Nrvd=2, Wrvd=0.05, ) rotor.mat_type.mag = MatMagnetics(Wlam=0.5e-3) rotor.slot = SlotMPolar( Zs=8, W0=pi / 12, H0=0.01, W3=pi / 18, magnet=[ MagnetType11(Lmag=0.5, Hmag=0.01, Wmag=pi / 12), MagnetType11(Lmag=0.5, Hmag=0.01, Wmag=pi / 12), ], ) stator = LamSlotMag( Rint=115e-3, Rext=200e-3, is_internal=False, is_stator=True, L1=0.4, Nrvd=2, Wrvd=0.05, ) stator.slot = SlotMPolar( Zs=4, W0=pi / 10, H0=0.02, W3=2 * pi / 50, magnet=[ MagnetType11(Lmag=0.35, Hmag=0.03, Wmag=pi / 10), MagnetType11(Lmag=0.35, Hmag=0.03, Wmag=pi / 10), ], ) stator.mat_type.mag = MatMagnetics(Wlam=0.5e-3) rotor.plot() fig = plt.gcf() self.assertEqual(len(fig.axes[0].patches), 18) fig.savefig(join(save_path, "test_Lam_Mag_11i_2_Mag_2-Rotor.png")) stator.plot() fig = plt.gcf() self.assertEqual(len(fig.axes[0].patches), 10) fig.savefig(join(save_path, "test_Lam_Mag_11i_3_Mag_2-Stator.png")) def test_Lam_Mag_12_inset(self): """Test machine plot with Magnet 12 inset""" plt.close("all") rotor = LamSlotMag( Rint=40e-3, Rext=90e-3, is_internal=True, is_stator=False, L1=0.35, Nrvd=3, Wrvd=0.05, ) magnet = [MagnetType12(Lmag=0.5, Hmag=0.02, Wmag=0.04)] rotor.slot = SlotMFlat(Zs=8, W0=0.04, H0=0.02, W3=2 * pi / 64, magnet=magnet) rotor.mat_type.mag = MatMagnetics(Wlam=0.5e-3) stator = LamSlotMag( Rint=110e-3, Rext=200e-3, is_internal=False, is_stator=True, L1=0.35, Nrvd=3, Wrvd=0.05, ) magnet2 = [MagnetType12(Lmag=0.5, Hmag=0.03, Wmag=0.04)] stator.slot = SlotMFlat(Zs=4, W0=0.04, H0=0.02, W3=2 * pi / 64, magnet=magnet2) stator.mat_type.mag = MatMagnetics(Wlam=0.5e-3) rotor.plot() fig = plt.gcf() self.assertEqual(len(fig.axes[0].patches), 10) fig.savefig(join(save_path, "test_Lam_Mag_12i_2-Rotor.png")) stator.plot() fig = plt.gcf() self.assertEqual(len(fig.axes[0].patches), 6) fig.savefig(join(save_path, "test_Lam_Mag_12i_3-Stator.png")) def test_Lam_Mag_13_inset(self): """Test machine plot with Magnet 12 inset""" plt.close("all") rotor = LamSlotMag( Rint=40e-3, Rext=90e-3, is_internal=True, is_stator=False, L1=0.42, Nrvd=4, Wrvd=0.02, ) magnet = [MagnetType13(Lmag=0.5, Hmag=0.02, Wmag=0.04, Rtop=0.04)] rotor.slot = SlotMFlat(Zs=8, W0=0.04, H0=0.02, W3=2 * pi / 64, magnet=magnet) rotor.mat_type.mag = MatMagnetics(Wlam=0.5e-3) stator = LamSlotMag( Rint=110e-3, Rext=200e-3, is_internal=False, is_stator=True, L1=0.42, Nrvd=4, Wrvd=0.02, ) magnet2 = [MagnetType13(Lmag=0.5, Hmag=0.02, Wmag=0.04, Rtop=0.04)] stator.slot = SlotMFlat(Zs=4, W0=0.04, H0=0.025, W3=2 * pi / 64, magnet=magnet2) stator.mat_type.mag = MatMagnetics(Wlam=0.5e-3) rotor.plot() fig = plt.gcf() self.assertEqual(len(fig.axes[0].patches), 10) fig.savefig(join(save_path, "test_Lam_Mag_13i_2-Rotor.png")) stator.plot() fig = plt.gcf() self.assertEqual(len(fig.axes[0].patches), 6) fig.savefig(join(save_path, "test_Lam_Mag_13i_3-Stator.png")) def test_Lam_Mag_14_inset(self): """Test machine plot with Magnet 14 inset""" plt.close("all") rotor = LamSlotMag( Rint=40e-3, Rext=90e-3, is_internal=True, is_stator=False, L1=0.4, Nrvd=5, Wrvd=0.02, ) magnet = [MagnetType14(Lmag=0.5, Hmag=0.02, Wmag=0.628, Rtop=0.04)] rotor.slot = SlotMPolar(Zs=4, W0=0.628, H0=0.02, magnet=magnet) rotor.mat_type.mag = MatMagnetics(Wlam=0.5e-3) stator = Lamination( Rint=130e-3, Rext=0.2, is_internal=False, is_stator=True, L1=0.4, Nrvd=5, Wrvd=0.02, ) stator.mat_type.mag = MatMagnetics(Wlam=0.5e-3) rotor.plot() fig = plt.gcf() self.assertEqual(len(fig.axes[0].patches), 6) fig.savefig(join(save_path, "test_Lam_Mag_14i_2-Rotor.png")) stator.plot() fig = plt.gcf() self.assertEqual(len(fig.axes[0].patches), 2) fig.savefig(join(save_path, "test_Lam_Mag_14i_3-Stator.png"))
32.394102
88
0.548953
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3.814311
0.084565
0.026047
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12,083
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false
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6
16cd3b5edc1d2631d88c4bf703f2839919beeee8
23
py
Python
amktools/wav2brr/__init__.py
jimbo1qaz/amktools
25a65d7c9c09a2622065fcacdaed82e1f9d7fb2c
[ "BSD-3-Clause" ]
2
2020-03-14T06:13:03.000Z
2022-03-03T17:53:51.000Z
amktools/wav2brr/__init__.py
nyanpasu64/amktools
25a65d7c9c09a2622065fcacdaed82e1f9d7fb2c
[ "BSD-3-Clause" ]
14
2018-06-19T14:48:58.000Z
2018-10-28T07:02:27.000Z
amktools/wav2brr/__init__.py
jimbo1qaz/amktools
25a65d7c9c09a2622065fcacdaed82e1f9d7fb2c
[ "BSD-3-Clause" ]
null
null
null
from .wav2brr import *
11.5
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6
bc42d6c23c459984e76b67314546ca349cc4a276
970
py
Python
050_AnimeGANv2/01_float32/05_float16_quantization.py
IgiArdiyanto/PINTO_model_zoo
9247b56a7dff37f28a8a7822a7ef4dd9adf7234d
[ "MIT" ]
1,529
2019-12-11T13:36:23.000Z
2022-03-31T18:38:27.000Z
050_AnimeGANv2/01_float32/05_float16_quantization.py
IgiArdiyanto/PINTO_model_zoo
9247b56a7dff37f28a8a7822a7ef4dd9adf7234d
[ "MIT" ]
200
2020-01-06T09:24:42.000Z
2022-03-31T17:29:08.000Z
050_AnimeGANv2/01_float32/05_float16_quantization.py
IgiArdiyanto/PINTO_model_zoo
9247b56a7dff37f28a8a7822a7ef4dd9adf7234d
[ "MIT" ]
288
2020-02-21T14:56:02.000Z
2022-03-30T03:00:35.000Z
### tensorflow==2.3.0 import tensorflow as tf # Float16 Quantization - Input/Output=float32 converter = tf.lite.TFLiteConverter.from_saved_model('saved_model_Hayao') converter.optimizations = [tf.lite.Optimize.DEFAULT] converter.target_spec.supported_types = [tf.float16] tflite_quant_model = converter.convert() with open('animeganv2_hayao_256x256_float16_quant.tflite', 'wb') as w: w.write(tflite_quant_model) print("Float16 Quantization complete! - animeganv2_hayao_256x256_float16_quant.tflite") # Float16 Quantization - Input/Output=float32 converter = tf.lite.TFLiteConverter.from_saved_model('saved_model_Paprika') converter.optimizations = [tf.lite.Optimize.DEFAULT] converter.target_spec.supported_types = [tf.float16] tflite_quant_model = converter.convert() with open('animeganv2_paprika_256x256_float16_quant.tflite', 'wb') as w: w.write(tflite_quant_model) print("Float16 Quantization complete! - animeganv2_paprika_256x256_float16_quant.tflite")
46.190476
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0.843215
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970
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6
bc671cb3e653d8c94ba3f041918cb3d7ad0be0e4
41
py
Python
comment_parser/__init__.py
DallogFheir/beginner-projects-bot
a19a2194f0c8fffb2a6098abd1242b18b1aebab8
[ "MIT" ]
null
null
null
comment_parser/__init__.py
DallogFheir/beginner-projects-bot
a19a2194f0c8fffb2a6098abd1242b18b1aebab8
[ "MIT" ]
1
2021-06-12T16:15:53.000Z
2021-08-12T21:32:22.000Z
comment_parser/__init__.py
DallogFheir/beginner-projects-bot
a19a2194f0c8fffb2a6098abd1242b18b1aebab8
[ "MIT" ]
null
null
null
from .comment_parser import CommentParser
41
41
0.902439
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41
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6
bc7333e25a48def30179d76d4ea3dfb0cdb7dabd
21
py
Python
__init__.py
dustinmaurer/options-strategy-backtester
1974bfd672d163a39f928208f36a8470a99e1a48
[ "MIT" ]
null
null
null
__init__.py
dustinmaurer/options-strategy-backtester
1974bfd672d163a39f928208f36a8470a99e1a48
[ "MIT" ]
null
null
null
__init__.py
dustinmaurer/options-strategy-backtester
1974bfd672d163a39f928208f36a8470a99e1a48
[ "MIT" ]
1
2021-04-11T07:18:55.000Z
2021-04-11T07:18:55.000Z
from . import option
10.5
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0
6
bc8275c83aefd5421141ae89d431747724b6b3a7
116
py
Python
UserServer/login/__init__.py
cxiaolong/XboxBackend
d42033c73d29a8ba43e359b32020fa55d1740da1
[ "MIT" ]
null
null
null
UserServer/login/__init__.py
cxiaolong/XboxBackend
d42033c73d29a8ba43e359b32020fa55d1740da1
[ "MIT" ]
null
null
null
UserServer/login/__init__.py
cxiaolong/XboxBackend
d42033c73d29a8ba43e359b32020fa55d1740da1
[ "MIT" ]
null
null
null
from flask import Blueprint login_bp = Blueprint('login', __name__, url_prefix='/user/login/') from . import login
23.2
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6
bca47effc513a0d266514a16536ecf8c6fad75f0
17,349
py
Python
sdk/formrecognizer/azure-ai-formrecognizer/tests/test_business_card_from_url_async.py
rorezende/azure-sdk-for-python
efd65877b7d8895aeb1bcdd2175d757cd82136b3
[ "MIT" ]
8
2021-01-13T23:44:08.000Z
2021-03-17T10:13:36.000Z
sdk/formrecognizer/azure-ai-formrecognizer/tests/test_business_card_from_url_async.py
Co0olboi/azure-sdk-for-python
167351fb00f98de55f9a43828ca46394392cbdd0
[ "MIT" ]
null
null
null
sdk/formrecognizer/azure-ai-formrecognizer/tests/test_business_card_from_url_async.py
Co0olboi/azure-sdk-for-python
167351fb00f98de55f9a43828ca46394392cbdd0
[ "MIT" ]
null
null
null
# coding=utf-8 # ------------------------------------ # Copyright (c) Microsoft Corporation. # Licensed under the MIT License. # ------------------------------------ import pytest import functools from datetime import date, time from azure.core.exceptions import HttpResponseError, ServiceRequestError, ClientAuthenticationError from azure.core.credentials import AzureKeyCredential from azure.ai.formrecognizer._generated.models import AnalyzeOperationResult from azure.ai.formrecognizer._response_handlers import prepare_prebuilt_models from azure.ai.formrecognizer import FormRecognizerApiVersion from azure.ai.formrecognizer.aio import FormRecognizerClient from testcase import GlobalFormRecognizerAccountPreparer from asynctestcase import AsyncFormRecognizerTest from testcase import GlobalClientPreparer as _GlobalClientPreparer GlobalClientPreparer = functools.partial(_GlobalClientPreparer, FormRecognizerClient) class TestBusinessCardFromUrlAsync(AsyncFormRecognizerTest): @GlobalFormRecognizerAccountPreparer() async def test_polling_interval(self, resource_group, location, form_recognizer_account, form_recognizer_account_key): client = FormRecognizerClient(form_recognizer_account, AzureKeyCredential(form_recognizer_account_key), polling_interval=7) self.assertEqual(client._client._config.polling_interval, 7) async with client: poller = await client.begin_recognize_business_cards_from_url(self.business_card_url_jpg, polling_interval=6) await poller.wait() self.assertEqual(poller._polling_method._timeout, 6) poller2 = await client.begin_recognize_business_cards_from_url(self.business_card_url_jpg) await poller2.wait() self.assertEqual(poller2._polling_method._timeout, 7) # goes back to client default @GlobalFormRecognizerAccountPreparer() @GlobalClientPreparer() async def test_business_cards_encoded_url(self, client): async with client: try: poller = await client.begin_recognize_business_cards_from_url("https://fakeuri.com/blank%20space") except HttpResponseError as e: self.assertIn("https://fakeuri.com/blank%20space", e.response.request.body) @GlobalFormRecognizerAccountPreparer() async def test_business_card_url_bad_endpoint(self, resource_group, location, form_recognizer_account, form_recognizer_account_key): with self.assertRaises(ServiceRequestError): client = FormRecognizerClient("http://notreal.azure.com", AzureKeyCredential(form_recognizer_account_key)) async with client: poller = await client.begin_recognize_business_cards_from_url(self.business_card_url_jpg) @GlobalFormRecognizerAccountPreparer() @GlobalClientPreparer() async def test_authentication_successful_key(self, client): async with client: poller = await client.begin_recognize_business_cards_from_url(self.business_card_url_jpg) result = await poller.result() @GlobalFormRecognizerAccountPreparer() async def test_authentication_bad_key(self, resource_group, location, form_recognizer_account, form_recognizer_account_key): client = FormRecognizerClient(form_recognizer_account, AzureKeyCredential("xxxx")) async with client: with self.assertRaises(ClientAuthenticationError): poller = await client.begin_recognize_business_cards_from_url(self.business_card_url_jpg) @GlobalFormRecognizerAccountPreparer() @GlobalClientPreparer() async def test_business_card_bad_url(self, client): async with client: with self.assertRaises(HttpResponseError): poller = await client.begin_recognize_business_cards_from_url("https://badurl.jpg") @GlobalFormRecognizerAccountPreparer() @GlobalClientPreparer() async def test_business_card_url_pass_stream(self, client): async with client: with open(self.business_card_png, "rb") as business_card: with self.assertRaises(HttpResponseError): poller = await client.begin_recognize_business_cards_from_url(business_card) @GlobalFormRecognizerAccountPreparer() @GlobalClientPreparer() async def test_business_card_url_transform_png(self, client): responses = [] def callback(raw_response, _, headers): analyze_result = client._deserialize(AnalyzeOperationResult, raw_response) extracted_business_card = prepare_prebuilt_models(analyze_result) responses.append(analyze_result) responses.append(extracted_business_card) async with client: poller = await client.begin_recognize_business_cards_from_url( business_card_url=self.business_card_url_png, include_field_elements=True, cls=callback ) result = await poller.result() raw_response = responses[0] returned_model = responses[1] business_card = returned_model[0] actual = raw_response.analyze_result.document_results[0].fields read_results = raw_response.analyze_result.read_results document_results = raw_response.analyze_result.document_results # check dict values self.assertFormFieldTransformCorrect(business_card.fields.get("ContactNames"), actual.get("ContactNames"), read_results) self.assertFormFieldTransformCorrect(business_card.fields.get("JobTitles"), actual.get("JobTitles"), read_results) self.assertFormFieldTransformCorrect(business_card.fields.get("Departments"), actual.get("Departments"), read_results) self.assertFormFieldTransformCorrect(business_card.fields.get("Emails"), actual.get("Emails"), read_results) self.assertFormFieldTransformCorrect(business_card.fields.get("Websites"), actual.get("Websites"), read_results) self.assertFormFieldTransformCorrect(business_card.fields.get("MobilePhones"), actual.get("MobilePhones"), read_results) self.assertFormFieldTransformCorrect(business_card.fields.get("OtherPhones"), actual.get("OtherPhones"), read_results) self.assertFormFieldTransformCorrect(business_card.fields.get("Faxes"), actual.get("Faxes"), read_results) self.assertFormFieldTransformCorrect(business_card.fields.get("Addresses"), actual.get("Addresses"), read_results) self.assertFormFieldTransformCorrect(business_card.fields.get("CompanyNames"), actual.get("CompanyNames"), read_results) # check page range self.assertEqual(business_card.page_range.first_page_number, document_results[0].page_range[0]) self.assertEqual(business_card.page_range.last_page_number, document_results[0].page_range[1]) # Check page metadata self.assertFormPagesTransformCorrect(business_card.pages, read_results) @GlobalFormRecognizerAccountPreparer() @GlobalClientPreparer() async def test_business_card_url_transform_jpg(self, client): responses = [] def callback(raw_response, _, headers): analyze_result = client._deserialize(AnalyzeOperationResult, raw_response) extracted_business_card = prepare_prebuilt_models(analyze_result) responses.append(analyze_result) responses.append(extracted_business_card) async with client: poller = await client.begin_recognize_business_cards_from_url( business_card_url=self.business_card_url_jpg, include_field_elements=True, cls=callback ) result = await poller.result() raw_response = responses[0] returned_model = responses[1] business_card = returned_model[0] actual = raw_response.analyze_result.document_results[0].fields read_results = raw_response.analyze_result.read_results document_results = raw_response.analyze_result.document_results page_results = raw_response.analyze_result.page_results # check dict values self.assertFormFieldTransformCorrect(business_card.fields.get("ContactNames"), actual.get("ContactNames"), read_results) self.assertFormFieldTransformCorrect(business_card.fields.get("JobTitles"), actual.get("JobTitles"), read_results) self.assertFormFieldTransformCorrect(business_card.fields.get("Departments"), actual.get("Departments"), read_results) self.assertFormFieldTransformCorrect(business_card.fields.get("Emails"), actual.get("Emails"), read_results) self.assertFormFieldTransformCorrect(business_card.fields.get("Websites"), actual.get("Websites"), read_results) self.assertFormFieldTransformCorrect(business_card.fields.get("MobilePhones"), actual.get("MobilePhones"), read_results) self.assertFormFieldTransformCorrect(business_card.fields.get("OtherPhones"), actual.get("OtherPhones"), read_results) self.assertFormFieldTransformCorrect(business_card.fields.get("Faxes"), actual.get("Faxes"), read_results) self.assertFormFieldTransformCorrect(business_card.fields.get("Addresses"), actual.get("Addresses"), read_results) self.assertFormFieldTransformCorrect(business_card.fields.get("CompanyNames"), actual.get("CompanyNames"), read_results) # check page range self.assertEqual(business_card.page_range.first_page_number, document_results[0].page_range[0]) self.assertEqual(business_card.page_range.last_page_number, document_results[0].page_range[1]) # Check page metadata self.assertFormPagesTransformCorrect(business_card.pages, read_results) @GlobalFormRecognizerAccountPreparer() @GlobalClientPreparer() async def test_business_card_jpg(self, client): async with client: poller = await client.begin_recognize_business_cards_from_url(self.business_card_url_jpg) result = await poller.result() self.assertEqual(len(result), 1) business_card = result[0] # check dict values self.assertEqual(len(business_card.fields.get("ContactNames").value), 1) self.assertEqual(business_card.fields.get("ContactNames").value[0].value['FirstName'].value, 'Avery') self.assertEqual(business_card.fields.get("ContactNames").value[0].value['LastName'].value, 'Smith') self.assertEqual(len(business_card.fields.get("JobTitles").value), 1) self.assertEqual(business_card.fields.get("JobTitles").value[0].value, "Senior Researcher") self.assertEqual(len(business_card.fields.get("Departments").value), 1) self.assertEqual(business_card.fields.get("Departments").value[0].value, "Cloud & Al Department") self.assertEqual(len(business_card.fields.get("Emails").value), 1) self.assertEqual(business_card.fields.get("Emails").value[0].value, "avery.smith@contoso.com") self.assertEqual(len(business_card.fields.get("Websites").value), 1) self.assertEqual(business_card.fields.get("Websites").value[0].value, "https://www.contoso.com/") # TODO: uncomment https://github.com/Azure/azure-sdk-for-python/issues/14300 # self.assertEqual(len(business_card.fields.get("MobilePhones").value), 1) # self.assertEqual(business_card.fields.get("MobilePhones").value[0].value, "https://www.contoso.com/") # self.assertEqual(len(business_card.fields.get("OtherPhones").value), 1) # self.assertEqual(business_card.fields.get("OtherPhones").value[0].value, "https://www.contoso.com/") # self.assertEqual(len(business_card.fields.get("Faxes").value), 1) # self.assertEqual(business_card.fields.get("Faxes").value[0].value, "https://www.contoso.com/") self.assertEqual(len(business_card.fields.get("Addresses").value), 1) self.assertEqual(business_card.fields.get("Addresses").value[0].value, "2 Kingdom Street Paddington, London, W2 6BD") self.assertEqual(len(business_card.fields.get("CompanyNames").value), 1) self.assertEqual(business_card.fields.get("CompanyNames").value[0].value, "Contoso") @GlobalFormRecognizerAccountPreparer() @GlobalClientPreparer() async def test_business_card_png(self, client): async with client: poller = await client.begin_recognize_business_cards_from_url(self.business_card_url_png) result = await poller.result() self.assertEqual(len(result), 1) business_card = result[0] # check dict values self.assertEqual(len(business_card.fields.get("ContactNames").value), 1) self.assertEqual(business_card.fields.get("ContactNames").value[0].value['FirstName'].value, 'Avery') self.assertEqual(business_card.fields.get("ContactNames").value[0].value['LastName'].value, 'Smith') self.assertEqual(len(business_card.fields.get("JobTitles").value), 1) self.assertEqual(business_card.fields.get("JobTitles").value[0].value, "Senior Researcher") self.assertEqual(len(business_card.fields.get("Departments").value), 1) self.assertEqual(business_card.fields.get("Departments").value[0].value, "Cloud & Al Department") self.assertEqual(len(business_card.fields.get("Emails").value), 1) self.assertEqual(business_card.fields.get("Emails").value[0].value, "avery.smith@contoso.com") self.assertEqual(len(business_card.fields.get("Websites").value), 1) self.assertEqual(business_card.fields.get("Websites").value[0].value, "https://www.contoso.com/") # TODO: uncomment https://github.com/Azure/azure-sdk-for-python/issues/14300 # self.assertEqual(len(business_card.fields.get("MobilePhones").value), 1) # self.assertEqual(business_card.fields.get("MobilePhones").value[0].value, "https://www.contoso.com/") # self.assertEqual(len(business_card.fields.get("OtherPhones").value), 1) # self.assertEqual(business_card.fields.get("OtherPhones").value[0].value, "https://www.contoso.com/") # self.assertEqual(len(business_card.fields.get("Faxes").value), 1) # self.assertEqual(business_card.fields.get("Faxes").value[0].value, "https://www.contoso.com/") self.assertEqual(len(business_card.fields.get("Addresses").value), 1) self.assertEqual(business_card.fields.get("Addresses").value[0].value, "2 Kingdom Street Paddington, London, W2 6BD") self.assertEqual(len(business_card.fields.get("CompanyNames").value), 1) self.assertEqual(business_card.fields.get("CompanyNames").value[0].value, "Contoso") @GlobalFormRecognizerAccountPreparer() @GlobalClientPreparer() async def test_business_card_jpg_include_field_elements(self, client): async with client: poller = await client.begin_recognize_business_cards_from_url(self.business_card_url_jpg, include_field_elements=True) result = await poller.result() self.assertEqual(len(result), 1) business_card = result[0] self.assertFormPagesHasValues(business_card.pages) for name, field in business_card.fields.items(): if field.value_type not in ["list", "dictionary"]: self.assertFieldElementsHasValues(field.value_data.field_elements, receipt.page_range.first_page_number) @GlobalFormRecognizerAccountPreparer() @GlobalClientPreparer() @pytest.mark.live_test_only async def test_business_card_continuation_token(self, client): async with client: initial_poller = await client.begin_recognize_business_cards_from_url(self.business_card_url_jpg) cont_token = initial_poller.continuation_token() poller = await client.begin_recognize_business_cards_from_url(self.business_card_url_jpg, continuation_token=cont_token) result = await poller.result() self.assertIsNotNone(result) await initial_poller.wait() # necessary so azure-devtools doesn't throw assertion error @GlobalFormRecognizerAccountPreparer() @GlobalClientPreparer(client_kwargs={"api_version": FormRecognizerApiVersion.V2_0}) async def test_business_card_v2(self, client): with pytest.raises(ValueError) as e: async with client: await client.begin_recognize_business_cards_from_url(self.business_card_url_jpg) assert "Method 'begin_recognize_business_cards_from_url' is only available for API version V2_1_PREVIEW and up" in str(e.value) @GlobalFormRecognizerAccountPreparer() @GlobalClientPreparer() async def test_business_card_locale_specified(self, client): async with client: poller = await client.begin_recognize_business_cards_from_url(self.business_card_url_jpg, locale="en-IN") assert 'en-IN' == poller._polling_method._initial_response.http_response.request.query['locale'] await poller.wait() @GlobalFormRecognizerAccountPreparer() @GlobalClientPreparer() async def test_business_card_locale_error(self, client): with pytest.raises(HttpResponseError) as e: async with client: await client.begin_recognize_business_cards_from_url(self.business_card_url_jpg, locale="not a locale") assert "locale" in e.value.error.message
55.784566
136
0.731051
1,908
17,349
6.404612
0.121593
0.109002
0.092799
0.106547
0.812439
0.786088
0.764648
0.764648
0.742308
0.733879
0
0.006744
0.16243
17,349
310
137
55.964516
0.834217
0.089631
0
0.671111
0
0
0.080627
0.005519
0
0
0
0.003226
0.324444
1
0.008889
false
0.004444
0.053333
0
0.066667
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
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0
0
0
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0
0
0
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null
0
0
0
0
0
0
0
0
0
0
0
0
0
6
bcac76f70b5f42d37acc2ca18a9d3eb4a406e70b
1,026
py
Python
Ship.py
miethe/DnD-Spaceships
a37afdb4f329123fcf7b0e06ea89e2fe6e3ea7bc
[ "MIT" ]
null
null
null
Ship.py
miethe/DnD-Spaceships
a37afdb4f329123fcf7b0e06ea89e2fe6e3ea7bc
[ "MIT" ]
null
null
null
Ship.py
miethe/DnD-Spaceships
a37afdb4f329123fcf7b0e06ea89e2fe6e3ea7bc
[ "MIT" ]
null
null
null
class ship: name = "Unknown" maelstrom_location_data = None quadrant = '' sector = '' def __init__(self, name = "Unknown", maelstrom_location_data = None): self.name = name self.maelstrom_location_data = maelstrom_location_data def getMaelstromLocationData(self): return self.maelstrom_location_data def setMaelstromCoordinates(self, quadrant, sector): self.quadrant = quadrant self.sector = sector def setNewMaelstromLocation(self, maelstrom_location_data): self.maelstrom_location_data = maelstrom_location_data def getShipCoordinates(self): return self.maelstrom_location_data.getCoordinates() def getShipQuadrant(self): return self.maelstrom_location_data.getQuadrant() def getShipSector(self): return self.maelstrom_location_data.getSector() def getMontressorPerceptionCheck(self, quadrant, sector): return self.maelstrom_location_data.getMontressorPerceptionCheck(quadrant, sector)
30.176471
90
0.72807
101
1,026
7.118812
0.237624
0.283727
0.350487
0.278164
0.47427
0.431154
0.1363
0.1363
0
0
0
0
0.199805
1,026
33
91
31.090909
0.875761
0
0
0.086957
0
0
0.013659
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0
0
0
1
0.347826
false
0
0
0.217391
0.782609
0
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0
null
1
1
1
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0
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0
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1
1
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0
6
bcb268d5e85e7c448988d51f7d359b5623328c52
14,204
py
Python
tests/app/service_invite/test_service_invite_rest.py
alphagov/notifications-api
494a01ba57aeb46d3622b4895a1373a3cc47371c
[ "MIT" ]
51
2016-04-03T23:36:17.000Z
2022-03-21T20:04:52.000Z
tests/app/service_invite/test_service_invite_rest.py
alphagov/notifications-api
494a01ba57aeb46d3622b4895a1373a3cc47371c
[ "MIT" ]
1,335
2015-12-15T14:28:50.000Z
2022-03-30T16:24:27.000Z
tests/app/service_invite/test_service_invite_rest.py
alphagov/notifications-api
494a01ba57aeb46d3622b4895a1373a3cc47371c
[ "MIT" ]
30
2016-01-08T19:05:32.000Z
2021-12-20T16:37:23.000Z
import json import uuid import pytest from flask import current_app from freezegun import freeze_time from notifications_utils.url_safe_token import generate_token from app.models import EMAIL_AUTH_TYPE, SMS_AUTH_TYPE, Notification from tests import create_admin_authorization_header from tests.app.db import create_invited_user @pytest.mark.parametrize('extra_args, expected_start_of_invite_url', [ ( {}, 'http://localhost:6012/invitation/' ), ( {'invite_link_host': 'https://www.example.com'}, 'https://www.example.com/invitation/' ), ]) def test_create_invited_user( admin_request, sample_service, mocker, invitation_email_template, extra_args, expected_start_of_invite_url, ): mocked = mocker.patch('app.celery.provider_tasks.deliver_email.apply_async') email_address = 'invited_user@service.gov.uk' invite_from = sample_service.users[0] data = dict( service=str(sample_service.id), email_address=email_address, from_user=str(invite_from.id), permissions='send_messages,manage_service,manage_api_keys', auth_type=EMAIL_AUTH_TYPE, folder_permissions=['folder_1', 'folder_2', 'folder_3'], **extra_args ) json_resp = admin_request.post( 'service_invite.create_invited_user', service_id=sample_service.id, _data=data, _expected_status=201 ) assert json_resp['data']['service'] == str(sample_service.id) assert json_resp['data']['email_address'] == email_address assert json_resp['data']['from_user'] == str(invite_from.id) assert json_resp['data']['permissions'] == 'send_messages,manage_service,manage_api_keys' assert json_resp['data']['auth_type'] == EMAIL_AUTH_TYPE assert json_resp['data']['id'] assert json_resp['data']['folder_permissions'] == ['folder_1', 'folder_2', 'folder_3'] notification = Notification.query.first() assert notification.reply_to_text == invite_from.email_address assert len(notification.personalisation.keys()) == 3 assert notification.personalisation['service_name'] == 'Sample service' assert notification.personalisation['user_name'] == 'Test User' assert notification.personalisation['url'].startswith(expected_start_of_invite_url) assert len(notification.personalisation['url']) > len(expected_start_of_invite_url) assert str(notification.template_id) == current_app.config['INVITATION_EMAIL_TEMPLATE_ID'] mocked.assert_called_once_with([(str(notification.id))], queue="notify-internal-tasks") @pytest.mark.parametrize('extra_args, expected_start_of_invite_url', [ ( {}, 'http://localhost:6012/invitation/' ), ( {'invite_link_host': 'https://www.example.com'}, 'https://www.example.com/invitation/' ), ]) def test_invited_user_for_broadcast_service_receives_broadcast_invite_email( admin_request, sample_broadcast_service, mocker, broadcast_invitation_email_template, extra_args, expected_start_of_invite_url, ): mocked = mocker.patch('app.celery.provider_tasks.deliver_email.apply_async') email_address = 'invited_user@service.gov.uk' invite_from = sample_broadcast_service.users[0] data = dict( service=str(sample_broadcast_service.id), email_address=email_address, from_user=str(invite_from.id), permissions='send_messages,manage_service,manage_api_keys', auth_type=EMAIL_AUTH_TYPE, folder_permissions=['folder_1', 'folder_2', 'folder_3'], **extra_args ) admin_request.post( 'service_invite.create_invited_user', service_id=sample_broadcast_service.id, _data=data, _expected_status=201 ) notification = Notification.query.first() assert notification.reply_to_text == invite_from.email_address assert len(notification.personalisation.keys()) == 3 assert notification.personalisation['service_name'] == 'Sample broadcast service' assert notification.personalisation['user_name'] == 'Test User' assert notification.personalisation['url'].startswith(expected_start_of_invite_url) assert len(notification.personalisation['url']) > len(expected_start_of_invite_url) assert str(notification.template_id) == current_app.config['BROADCAST_INVITATION_EMAIL_TEMPLATE_ID'] mocked.assert_called_once_with([(str(notification.id))], queue="notify-internal-tasks") def test_create_invited_user_without_auth_type(admin_request, sample_service, mocker, invitation_email_template): mocker.patch('app.celery.provider_tasks.deliver_email.apply_async') email_address = 'invited_user@service.gov.uk' invite_from = sample_service.users[0] data = { 'service': str(sample_service.id), 'email_address': email_address, 'from_user': str(invite_from.id), 'permissions': 'send_messages,manage_service,manage_api_keys', 'folder_permissions': [] } json_resp = admin_request.post( 'service_invite.create_invited_user', service_id=sample_service.id, _data=data, _expected_status=201 ) assert json_resp['data']['auth_type'] == SMS_AUTH_TYPE def test_create_invited_user_invalid_email(client, sample_service, mocker, fake_uuid): mocked = mocker.patch('app.celery.provider_tasks.deliver_email.apply_async') email_address = 'notanemail' invite_from = sample_service.users[0] data = { 'service': str(sample_service.id), 'email_address': email_address, 'from_user': str(invite_from.id), 'permissions': 'send_messages,manage_service,manage_api_keys', 'folder_permissions': [fake_uuid, fake_uuid] } data = json.dumps(data) auth_header = create_admin_authorization_header() response = client.post( '/service/{}/invite'.format(sample_service.id), headers=[('Content-Type', 'application/json'), auth_header], data=data ) assert response.status_code == 400 json_resp = json.loads(response.get_data(as_text=True)) assert json_resp['result'] == 'error' assert json_resp['message'] == {'email_address': ['Not a valid email address']} assert mocked.call_count == 0 def test_get_all_invited_users_by_service(client, notify_db, notify_db_session, sample_service): invites = [] for i in range(0, 5): email = 'invited_user_{}@service.gov.uk'.format(i) invited_user = create_invited_user(sample_service, to_email_address=email) invites.append(invited_user) url = '/service/{}/invite'.format(sample_service.id) auth_header = create_admin_authorization_header() response = client.get( url, headers=[('Content-Type', 'application/json'), auth_header] ) assert response.status_code == 200 json_resp = json.loads(response.get_data(as_text=True)) invite_from = sample_service.users[0] for invite in json_resp['data']: assert invite['service'] == str(sample_service.id) assert invite['from_user'] == str(invite_from.id) assert invite['auth_type'] == SMS_AUTH_TYPE assert invite['id'] def test_get_invited_users_by_service_with_no_invites(client, notify_db, notify_db_session, sample_service): url = '/service/{}/invite'.format(sample_service.id) auth_header = create_admin_authorization_header() response = client.get( url, headers=[('Content-Type', 'application/json'), auth_header] ) assert response.status_code == 200 json_resp = json.loads(response.get_data(as_text=True)) assert len(json_resp['data']) == 0 def test_get_invited_user_by_service(admin_request, sample_invited_user): json_resp = admin_request.get( 'service_invite.get_invited_user_by_service', service_id=sample_invited_user.service.id, invited_user_id=sample_invited_user.id ) assert json_resp['data']['email_address'] == sample_invited_user.email_address def test_get_invited_user_by_service_when_user_does_not_belong_to_the_service( admin_request, sample_invited_user, fake_uuid, ): json_resp = admin_request.get( 'service_invite.get_invited_user_by_service', service_id=fake_uuid, invited_user_id=sample_invited_user.id, _expected_status=404 ) assert json_resp['result'] == 'error' def test_update_invited_user_set_status_to_cancelled(client, sample_invited_user): data = {'status': 'cancelled'} url = '/service/{0}/invite/{1}'.format(sample_invited_user.service_id, sample_invited_user.id) auth_header = create_admin_authorization_header() response = client.post(url, data=json.dumps(data), headers=[('Content-Type', 'application/json'), auth_header]) assert response.status_code == 200 json_resp = json.loads(response.get_data(as_text=True))['data'] assert json_resp['status'] == 'cancelled' def test_update_invited_user_for_wrong_service_returns_404(client, sample_invited_user, fake_uuid): data = {'status': 'cancelled'} url = '/service/{0}/invite/{1}'.format(fake_uuid, sample_invited_user.id) auth_header = create_admin_authorization_header() response = client.post(url, data=json.dumps(data), headers=[('Content-Type', 'application/json'), auth_header]) assert response.status_code == 404 json_response = json.loads(response.get_data(as_text=True))['message'] assert json_response == 'No result found' def test_update_invited_user_for_invalid_data_returns_400(client, sample_invited_user): data = {'status': 'garbage'} url = '/service/{0}/invite/{1}'.format(sample_invited_user.service_id, sample_invited_user.id) auth_header = create_admin_authorization_header() response = client.post(url, data=json.dumps(data), headers=[('Content-Type', 'application/json'), auth_header]) assert response.status_code == 400 @pytest.mark.parametrize('endpoint_format_str', [ '/invite/service/{}', '/invite/service/check/{}', ]) def test_validate_invitation_token_returns_200_when_token_valid(client, sample_invited_user, endpoint_format_str): token = generate_token(str(sample_invited_user.id), current_app.config['SECRET_KEY'], current_app.config['DANGEROUS_SALT']) url = endpoint_format_str.format(token) auth_header = create_admin_authorization_header() response = client.get(url, headers=[('Content-Type', 'application/json'), auth_header]) assert response.status_code == 200 json_resp = json.loads(response.get_data(as_text=True)) assert json_resp['data']['id'] == str(sample_invited_user.id) assert json_resp['data']['email_address'] == sample_invited_user.email_address assert json_resp['data']['from_user'] == str(sample_invited_user.user_id) assert json_resp['data']['service'] == str(sample_invited_user.service_id) assert json_resp['data']['status'] == sample_invited_user.status assert json_resp['data']['permissions'] == sample_invited_user.permissions assert json_resp['data']['folder_permissions'] == sample_invited_user.folder_permissions def test_validate_invitation_token_for_expired_token_returns_400(client): with freeze_time('2016-01-01T12:00:00'): token = generate_token(str(uuid.uuid4()), current_app.config['SECRET_KEY'], current_app.config['DANGEROUS_SALT']) url = '/invite/service/{}'.format(token) auth_header = create_admin_authorization_header() response = client.get(url, headers=[('Content-Type', 'application/json'), auth_header]) assert response.status_code == 400 json_resp = json.loads(response.get_data(as_text=True)) assert json_resp['result'] == 'error' assert json_resp['message'] == { 'invitation': 'Your invitation to GOV.UK Notify has expired. ' 'Please ask the person that invited you to send you another one'} def test_validate_invitation_token_returns_400_when_invited_user_does_not_exist(client): token = generate_token(str(uuid.uuid4()), current_app.config['SECRET_KEY'], current_app.config['DANGEROUS_SALT']) url = '/invite/service/{}'.format(token) auth_header = create_admin_authorization_header() response = client.get(url, headers=[('Content-Type', 'application/json'), auth_header]) assert response.status_code == 404 json_resp = json.loads(response.get_data(as_text=True)) assert json_resp['result'] == 'error' assert json_resp['message'] == 'No result found' def test_validate_invitation_token_returns_400_when_token_is_malformed(client): token = generate_token( str(uuid.uuid4()), current_app.config['SECRET_KEY'], current_app.config['DANGEROUS_SALT'] )[:-2] url = '/invite/service/{}'.format(token) auth_header = create_admin_authorization_header() response = client.get(url, headers=[('Content-Type', 'application/json'), auth_header]) assert response.status_code == 400 json_resp = json.loads(response.get_data(as_text=True)) assert json_resp['result'] == 'error' assert json_resp['message'] == { 'invitation': 'Something’s wrong with this link. Make sure you’ve copied the whole thing.' } def test_get_invited_user(admin_request, sample_invited_user): json_resp = admin_request.get( 'service_invite.get_invited_user', invited_user_id=sample_invited_user.id ) assert json_resp['data']['id'] == str(sample_invited_user.id) assert json_resp['data']['email_address'] == sample_invited_user.email_address assert json_resp['data']['service'] == str(sample_invited_user.service_id) assert json_resp['data']['permissions'] == sample_invited_user.permissions def test_get_invited_user_404s_if_invite_doesnt_exist(admin_request, sample_invited_user, fake_uuid): json_resp = admin_request.get( 'service_invite.get_invited_user', invited_user_id=fake_uuid, _expected_status=404 ) assert json_resp['result'] == 'error'
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6
bcc01f39787a08644f7bee34b946c9547849f339
13,048
py
Python
src/python/grpcio_tests/tests/protoc_plugin/_split_definitions_test.py
RealImage/grpc
4a2f1b1c933eaa37e162f9b0448222caff728494
[ "BSD-3-Clause" ]
1
2021-04-27T20:09:23.000Z
2021-04-27T20:09:23.000Z
src/python/grpcio_tests/tests/protoc_plugin/_split_definitions_test.py
RealImage/grpc
4a2f1b1c933eaa37e162f9b0448222caff728494
[ "BSD-3-Clause" ]
null
null
null
src/python/grpcio_tests/tests/protoc_plugin/_split_definitions_test.py
RealImage/grpc
4a2f1b1c933eaa37e162f9b0448222caff728494
[ "BSD-3-Clause" ]
null
null
null
# Copyright 2016, Google Inc. # All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are # met: # # * Redistributions of source code must retain the above copyright # notice, this list of conditions and the following disclaimer. # * Redistributions in binary form must reproduce the above # copyright notice, this list of conditions and the following disclaimer # in the documentation and/or other materials provided with the # distribution. # * Neither the name of Google Inc. nor the names of its # contributors may be used to endorse or promote products derived from # this software without specific prior written permission. # # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS # "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT # LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR # A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT # OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, # SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT # LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, # DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY # THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT # (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE # OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. import collections from concurrent import futures import contextlib import distutils.spawn import errno import importlib import os import os.path import pkgutil import shutil import subprocess import sys import tempfile import threading import unittest import grpc from grpc_tools import protoc from tests.unit.framework.common import test_constants _MESSAGES_IMPORT = b'import "messages.proto";' @contextlib.contextmanager def _system_path(path): old_system_path = sys.path[:] sys.path = sys.path[0:1] + path + sys.path[1:] yield sys.path = old_system_path class DummySplitServicer(object): def __init__(self, request_class, response_class): self.request_class = request_class self.response_class = response_class def Call(self, request, context): return self.response_class() class SeparateTestMixin(object): def testImportAttributes(self): with _system_path([self.python_out_directory]): pb2 = importlib.import_module(self.pb2_import) pb2.Request pb2.Response if self.should_find_services_in_pb2: pb2.TestServiceServicer else: with self.assertRaises(AttributeError): pb2.TestServiceServicer with _system_path([self.grpc_python_out_directory]): pb2_grpc = importlib.import_module(self.pb2_grpc_import) pb2_grpc.TestServiceServicer with self.assertRaises(AttributeError): pb2_grpc.Request with self.assertRaises(AttributeError): pb2_grpc.Response def testCall(self): with _system_path([self.python_out_directory]): pb2 = importlib.import_module(self.pb2_import) with _system_path([self.grpc_python_out_directory]): pb2_grpc = importlib.import_module(self.pb2_grpc_import) server = grpc.server( futures.ThreadPoolExecutor(max_workers=test_constants.POOL_SIZE)) pb2_grpc.add_TestServiceServicer_to_server( DummySplitServicer(pb2.Request, pb2.Response), server) port = server.add_insecure_port('[::]:0') server.start() channel = grpc.insecure_channel('localhost:{}'.format(port)) stub = pb2_grpc.TestServiceStub(channel) request = pb2.Request() expected_response = pb2.Response() response = stub.Call(request) self.assertEqual(expected_response, response) class CommonTestMixin(object): def testImportAttributes(self): with _system_path([self.python_out_directory]): pb2 = importlib.import_module(self.pb2_import) pb2.Request pb2.Response if self.should_find_services_in_pb2: pb2.TestServiceServicer else: with self.assertRaises(AttributeError): pb2.TestServiceServicer with _system_path([self.grpc_python_out_directory]): pb2_grpc = importlib.import_module(self.pb2_grpc_import) pb2_grpc.TestServiceServicer with self.assertRaises(AttributeError): pb2_grpc.Request with self.assertRaises(AttributeError): pb2_grpc.Response def testCall(self): with _system_path([self.python_out_directory]): pb2 = importlib.import_module(self.pb2_import) with _system_path([self.grpc_python_out_directory]): pb2_grpc = importlib.import_module(self.pb2_grpc_import) server = grpc.server( futures.ThreadPoolExecutor(max_workers=test_constants.POOL_SIZE)) pb2_grpc.add_TestServiceServicer_to_server( DummySplitServicer(pb2.Request, pb2.Response), server) port = server.add_insecure_port('[::]:0') server.start() channel = grpc.insecure_channel('localhost:{}'.format(port)) stub = pb2_grpc.TestServiceStub(channel) request = pb2.Request() expected_response = pb2.Response() response = stub.Call(request) self.assertEqual(expected_response, response) class SameSeparateTest(unittest.TestCase, SeparateTestMixin): def setUp(self): same_proto_contents = pkgutil.get_data( 'tests.protoc_plugin.protos.invocation_testing', 'same.proto') self.directory = tempfile.mkdtemp(suffix='same_separate', dir='.') self.proto_directory = os.path.join(self.directory, 'proto_path') self.python_out_directory = os.path.join(self.directory, 'python_out') self.grpc_python_out_directory = os.path.join(self.directory, 'grpc_python_out') os.makedirs(self.proto_directory) os.makedirs(self.python_out_directory) os.makedirs(self.grpc_python_out_directory) same_proto_file = os.path.join(self.proto_directory, 'same_separate.proto') open(same_proto_file, 'wb').write(same_proto_contents) protoc_result = protoc.main([ '', '--proto_path={}'.format(self.proto_directory), '--python_out={}'.format(self.python_out_directory), '--grpc_python_out=grpc_2_0:{}'.format( self.grpc_python_out_directory), same_proto_file, ]) if protoc_result != 0: raise Exception("unexpected protoc error") open(os.path.join(self.grpc_python_out_directory, '__init__.py'), 'w').write('') open(os.path.join(self.python_out_directory, '__init__.py'), 'w').write('') self.pb2_import = 'same_separate_pb2' self.pb2_grpc_import = 'same_separate_pb2_grpc' self.should_find_services_in_pb2 = False def tearDown(self): shutil.rmtree(self.directory) class SameCommonTest(unittest.TestCase, CommonTestMixin): def setUp(self): same_proto_contents = pkgutil.get_data( 'tests.protoc_plugin.protos.invocation_testing', 'same.proto') self.directory = tempfile.mkdtemp(suffix='same_common', dir='.') self.proto_directory = os.path.join(self.directory, 'proto_path') self.python_out_directory = os.path.join(self.directory, 'python_out') self.grpc_python_out_directory = self.python_out_directory os.makedirs(self.proto_directory) os.makedirs(self.python_out_directory) same_proto_file = os.path.join(self.proto_directory, 'same_common.proto') open(same_proto_file, 'wb').write(same_proto_contents) protoc_result = protoc.main([ '', '--proto_path={}'.format(self.proto_directory), '--python_out={}'.format(self.python_out_directory), '--grpc_python_out={}'.format(self.grpc_python_out_directory), same_proto_file, ]) if protoc_result != 0: raise Exception("unexpected protoc error") open(os.path.join(self.python_out_directory, '__init__.py'), 'w').write('') self.pb2_import = 'same_common_pb2' self.pb2_grpc_import = 'same_common_pb2_grpc' self.should_find_services_in_pb2 = True def tearDown(self): shutil.rmtree(self.directory) class SplitCommonTest(unittest.TestCase, CommonTestMixin): def setUp(self): services_proto_contents = pkgutil.get_data( 'tests.protoc_plugin.protos.invocation_testing.split_services', 'services.proto') messages_proto_contents = pkgutil.get_data( 'tests.protoc_plugin.protos.invocation_testing.split_messages', 'messages.proto') self.directory = tempfile.mkdtemp(suffix='split_common', dir='.') self.proto_directory = os.path.join(self.directory, 'proto_path') self.python_out_directory = os.path.join(self.directory, 'python_out') self.grpc_python_out_directory = self.python_out_directory os.makedirs(self.proto_directory) os.makedirs(self.python_out_directory) services_proto_file = os.path.join(self.proto_directory, 'split_common_services.proto') messages_proto_file = os.path.join(self.proto_directory, 'split_common_messages.proto') open(services_proto_file, 'wb').write( services_proto_contents.replace( _MESSAGES_IMPORT, b'import "split_common_messages.proto";')) open(messages_proto_file, 'wb').write(messages_proto_contents) protoc_result = protoc.main([ '', '--proto_path={}'.format(self.proto_directory), '--python_out={}'.format(self.python_out_directory), '--grpc_python_out={}'.format(self.grpc_python_out_directory), services_proto_file, messages_proto_file, ]) if protoc_result != 0: raise Exception("unexpected protoc error") open(os.path.join(self.python_out_directory, '__init__.py'), 'w').write('') self.pb2_import = 'split_common_messages_pb2' self.pb2_grpc_import = 'split_common_services_pb2_grpc' self.should_find_services_in_pb2 = False def tearDown(self): shutil.rmtree(self.directory) class SplitSeparateTest(unittest.TestCase, SeparateTestMixin): def setUp(self): services_proto_contents = pkgutil.get_data( 'tests.protoc_plugin.protos.invocation_testing.split_services', 'services.proto') messages_proto_contents = pkgutil.get_data( 'tests.protoc_plugin.protos.invocation_testing.split_messages', 'messages.proto') self.directory = tempfile.mkdtemp(suffix='split_separate', dir='.') self.proto_directory = os.path.join(self.directory, 'proto_path') self.python_out_directory = os.path.join(self.directory, 'python_out') self.grpc_python_out_directory = os.path.join(self.directory, 'grpc_python_out') os.makedirs(self.proto_directory) os.makedirs(self.python_out_directory) os.makedirs(self.grpc_python_out_directory) services_proto_file = os.path.join(self.proto_directory, 'split_separate_services.proto') messages_proto_file = os.path.join(self.proto_directory, 'split_separate_messages.proto') open(services_proto_file, 'wb').write( services_proto_contents.replace( _MESSAGES_IMPORT, b'import "split_separate_messages.proto";')) open(messages_proto_file, 'wb').write(messages_proto_contents) protoc_result = protoc.main([ '', '--proto_path={}'.format(self.proto_directory), '--python_out={}'.format(self.python_out_directory), '--grpc_python_out=grpc_2_0:{}'.format( self.grpc_python_out_directory), services_proto_file, messages_proto_file, ]) if protoc_result != 0: raise Exception("unexpected protoc error") open(os.path.join(self.python_out_directory, '__init__.py'), 'w').write('') self.pb2_import = 'split_separate_messages_pb2' self.pb2_grpc_import = 'split_separate_services_pb2_grpc' self.should_find_services_in_pb2 = False def tearDown(self): shutil.rmtree(self.directory) if __name__ == '__main__': unittest.main(verbosity=2)
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6
bcc202a66986f9a47006c9f6ad16cf02ff69e076
18,640
py
Python
tests/swig/python/gpu/test_cuda_subagent.py
twinkarma/FLAMEGPU2_dev
733a6c2016c0fd15cd835c6bb2fcb6ded75c8d15
[ "MIT" ]
null
null
null
tests/swig/python/gpu/test_cuda_subagent.py
twinkarma/FLAMEGPU2_dev
733a6c2016c0fd15cd835c6bb2fcb6ded75c8d15
[ "MIT" ]
4
2020-10-19T18:31:24.000Z
2020-12-14T21:26:46.000Z
tests/swig/python/gpu/test_cuda_subagent.py
twinkarma/FLAMEGPU2_dev
733a6c2016c0fd15cd835c6bb2fcb6ded75c8d15
[ "MIT" ]
null
null
null
import pytest from unittest import TestCase from pyflamegpu import * from random import randint AGENT_COUNT = 100; SUB_MODEL_NAME = "SubModel"; PROXY_SUB_MODEL_NAME = "ProxySubModel"; MODEL_NAME = "Model"; AGENT_NAME = "Agent"; AGENT_VAR1_NAME = "AVar1"; AGENT_VAR2_NAME = "AVar2"; SUB_VAR1_NAME = "SubVar1"; AGENT_VAR_i = "i"; AGENT_VAR_t = "t"; MAPPED_STATE1 = "mapped1"; MAPPED_STATE2 = "mapped2"; UNMAPPED_STATE1 = "unmapped1"; UNMAPPED_STATE2 = "unmapped2"; AddT = """ FLAMEGPU_AGENT_FUNCTION(AddT, MsgNone, MsgNone) { const unsigned int v = FLAMEGPU->getVariable<unsigned int>("AVar1"); const unsigned int t = FLAMEGPU->getVariable<unsigned int>("t"); FLAMEGPU->setVariable<unsigned int>("AVar1", v + t); FLAMEGPU->setVariable<unsigned int>("t", t + 1); return ALIVE; } """ AddOne = """ FLAMEGPU_AGENT_FUNCTION(AddOne, MsgNone, MsgNone) { const unsigned int v = FLAMEGPU->getVariable<unsigned int>("AVar1"); const unsigned int sub_v = FLAMEGPU->getVariable<unsigned int>("SubVar1"); if (sub_v == 12) { // sub_v should always be it's default value 12 if created in submodel, we never change it FLAMEGPU->setVariable<unsigned int>("AVar1", v + 1); } else if (sub_v == 599) { // sub_v Agents created byproxysubmodel or above will have this value, so original agents set this FLAMEGPU->setVariable<unsigned int>("AVar1", v + 1); } else { FLAMEGPU->setVariable<unsigned int>("AVar1", v + 100000); } return ALIVE; } """ AddSubVar = """ FLAMEGPU_AGENT_FUNCTION(AddSubVar, MsgNone, MsgNone) { const unsigned int v = FLAMEGPU->getVariable<unsigned int>("AVar1"); const unsigned int sub_v = FLAMEGPU->getVariable<unsigned int>("SubVar1"); FLAMEGPU->setVariable<unsigned int>("AVar1", v + sub_v); FLAMEGPU->setVariable<unsigned int>("SubVar1", sub_v * 2); return ALIVE; } """ AddOne2 = """ FLAMEGPU_AGENT_FUNCTION(AddOne2, MsgNone, MsgNone) { const unsigned int v = FLAMEGPU->getVariable<unsigned int>("AVar1"); FLAMEGPU->setVariable<unsigned int>("AVar1", v + 1); return ALIVE; } """ AddTen = """ FLAMEGPU_AGENT_FUNCTION(AddTen, MsgNone, MsgNone) { const unsigned int v = FLAMEGPU->getVariable<unsigned int>("AVar1"); FLAMEGPU->setVariable<unsigned int>("AVar1", v + 10); const unsigned int v2 = FLAMEGPU->getVariable<unsigned int>("AVar2"); FLAMEGPU->setVariable<unsigned int>("AVar2", v2 - 1000); return ALIVE; } """ KillEven = """ FLAMEGPU_AGENT_FUNCTION(KillEven, MsgNone, MsgNone) { const unsigned int v = FLAMEGPU->getVariable<unsigned int>("i"); FLAMEGPU->setVariable<unsigned int>("i", v * 3); if (FLAMEGPU->getVariable<unsigned int>("AVar2") > UINT_MAX-1000) { // First iteration if (v % 4 == 0) return DEAD; } else { // Second iteration if (v % 2 == 0) return DEAD; } return ALIVE; } """ BirthEven = """ FLAMEGPU_AGENT_FUNCTION(BirthEven, MsgNone, MsgNone) { const unsigned int v = FLAMEGPU->getVariable<unsigned int>("i"); FLAMEGPU->setVariable<unsigned int>("i", v * 3); if (FLAMEGPU->getVariable<unsigned int>("AVar2") > UINT_MAX - 2000) { // First iteration if (v % 4 == 0) { FLAMEGPU->agent_out.setVariable("i", v * 3); FLAMEGPU->agent_out.setVariable("AVar2", 4000 + v); } } else if (FLAMEGPU->getVariable<unsigned int>("AVar2") > UINT_MAX - 4000) { // Second iteration if ((v / 3) % 4 == 0) { FLAMEGPU->agent_out.setVariable("i", v * 3); FLAMEGPU->agent_out.setVariable("AVar2", 4000 + v); } } return ALIVE; } """ AllowEven = """ FLAMEGPU_AGENT_FUNCTION_CONDITION(AllowEven) { const unsigned int v = FLAMEGPU->getVariable<unsigned int>("i"); // First iteration if (v % 4 == 0) { return true; } return false; } """ UpdateId100 = """ FLAMEGPU_AGENT_FUNCTION(UpdateId100, MsgNone, MsgNone) { const unsigned int v = FLAMEGPU->getVariable<unsigned int>("i"); FLAMEGPU->setVariable<unsigned int>("i", v + 100); return ALIVE; } """ class ExitAlways(pyflamegpu.HostFunctionConditionCallback): def __init__(self): super().__init__() def run(self, FLAMEGPU): return pyflamegpu.EXIT; HostBirth = """ FLAMEGPU_HOST_FUNCTION(HostBirth) { auto a = FLAMEGPU->newAgent(AGENT_NAME); a.setVariable<unsigned int>(AGENT_VAR1_NAME, 5); a.setVariable<unsigned int>(AGENT_VAR2_NAME, 500); } """ HostBirth2 = """ FLAMEGPU_HOST_FUNCTION(HostBirth2) { auto a = FLAMEGPU->newAgent(AGENT_NAME); a.setVariable<unsigned int>(AGENT_VAR1_NAME, 5); } """ HostBirthUpdate = """ FLAMEGPU_AGENT_FUNCTION(HostBirthUpdate, MsgNone, MsgNone) { const unsigned int v = FLAMEGPU->getVariable<unsigned int>("AVar1"); if (v == 5) { FLAMEGPU->setVariable<unsigned int>("AVar1", 500); } return ALIVE; } """ def UINT_MAX(): return pow(2, 32)-1; class TestCUDASubAgent(TestCase): def test_simple(self): # Tests whether a sub model is capable of changing an agents variable # Agents in same named state, with matching variables sm = pyflamegpu.ModelDescription(SUB_MODEL_NAME); # Define SubModel a = sm.newAgent(AGENT_NAME); a.newVariableUInt(AGENT_VAR1_NAME, 0); a.newVariableUInt(AGENT_VAR_t, 1); a.newVariableUInt(SUB_VAR1_NAME, 12); fn_1 = a.newRTCFunction("1", AddT); fn_2 = a.newRTCFunction("2", AddOne); sm.newLayer().addAgentFunction(fn_1); sm.newLayer().addAgentFunction(fn_2); exitcdn = ExitAlways() sm.addExitConditionCallback(exitcdn); m = pyflamegpu.ModelDescription(MODEL_NAME); ma = m.newAgent(AGENT_NAME); # Define Model ma.newVariableUInt(AGENT_VAR1_NAME, 1); ma.newVariableUInt(AGENT_VAR2_NAME, UINT_MAX()); fn_3 = ma.newRTCFunction("3", AddTen); smd = m.newSubModel("sub", sm); smd.bindAgent(AGENT_NAME, AGENT_NAME, True, True); # auto map vars and states m.newLayer().addAgentFunction(fn_3); m.newLayer().addSubModel("sub"); m.newLayer().addAgentFunction(fn_3); # Init Agents pop = pyflamegpu.AgentPopulation(ma, AGENT_COUNT); for i in range(AGENT_COUNT): ai = pop.getNextInstance(); # Vars all default init # Init Model c = pyflamegpu.CUDASimulation(m) c.SimulationConfig().steps = 1; c.applyConfig(); c.setPopulationData(pop); # Run Model c.step(); # Check result # Mapped var = init + af + submodel af + af mapped_result = 1 + 10 + 1 + 1 + 10; # Unmapped var = init + af + af unmapped_result = UINT_MAX() - 1000 - 1000; c.getPopulationData(pop); for i in range(AGENT_COUNT): ai = pop.getInstanceAt(i); assert ai.getVariableUInt(AGENT_VAR1_NAME) == mapped_result assert ai.getVariableUInt(AGENT_VAR2_NAME) == unmapped_result # Run Model c.step(); # Check result # Mapped var = mapped_result + af + submodel af + af mapped_result2 = mapped_result + 10 + 1 + 1 + 10; # Unmapped var = unmapped_result + af + af unmapped_result2 = unmapped_result - 1000 - 1000; c.getPopulationData(pop); for i in range(AGENT_COUNT): ai = pop.getInstanceAt(i); assert ai.getVariableUInt(AGENT_VAR1_NAME) == mapped_result2 assert ai.getVariableUInt(AGENT_VAR2_NAME) == unmapped_result2 def test_AgentDeath_BeforeSubModel(self): sm = pyflamegpu.ModelDescription(SUB_MODEL_NAME); # Define SubModel a = sm.newAgent(AGENT_NAME); a.newVariableUInt(AGENT_VAR1_NAME, 0); a.newVariableUInt(SUB_VAR1_NAME, 12); fn_1 = a.newRTCFunction("1", AddOne); sm.newLayer().addAgentFunction(fn_1); exitcdn = ExitAlways() sm.addExitConditionCallback(exitcdn); m = pyflamegpu.ModelDescription(MODEL_NAME); ma = m.newAgent(AGENT_NAME); # Define Model ma.newVariableUInt(AGENT_VAR1_NAME, 1); ma.newVariableUInt(AGENT_VAR2_NAME, UINT_MAX()); ma.newVariableUInt(AGENT_VAR_i); fn_2 = ma.newRTCFunction("2", KillEven); fn_2.setAllowAgentDeath(True); fn_3 = ma.newRTCFunction("3", AddTen); smd = m.newSubModel("sub", sm); smd.bindAgent(AGENT_NAME, AGENT_NAME, True, True); # auto map vars and states m.newLayer().addAgentFunction(fn_2); m.newLayer().addAgentFunction(fn_3); m.newLayer().addSubModel("sub"); m.newLayer().addAgentFunction(fn_3); # Init Agents pop = pyflamegpu.AgentPopulation(ma, AGENT_COUNT); for i in range(AGENT_COUNT): ai = pop.getNextInstance(); ai.setVariableUInt(AGENT_VAR_i, i); ai.setVariableUInt(AGENT_VAR1_NAME, i); ai.setVariableUInt(AGENT_VAR2_NAME, UINT_MAX() - i); # Other vars all default init # Init Model c = pyflamegpu.CUDASimulation(m) c.SimulationConfig().steps = 1; c.applyConfig(); c.setPopulationData(pop); # Run Model c.step(); # Check result # Mapped var = init + af + submodel af + af mapped_result = 10 + 1 + 10; # Unmapped var = init + af + af unmapped_result = UINT_MAX() - 1000 - 1000; c.getPopulationData(pop); assert pop.getCurrentListSize() == int(AGENT_COUNT*0.75) # if AGENT_COUNT > 1000 this test will fail for i in range(pop.getCurrentListSize()): ai = pop.getInstanceAt(i); _i = ai.getVariableUInt(AGENT_VAR_i); assert _i % 3 == 0 # Var divides cleanly by 3 __i = int(_i/3); # Calculate original value of AGENT_VAR_i assert __i % 4 != 0 # Agent doesn't have original AGENT_VAR_i that was supposed to be killed assert ai.getVariableUInt(AGENT_VAR1_NAME) == __i + mapped_result; assert ai.getVariableUInt(AGENT_VAR2_NAME) == unmapped_result - __i; # Run Model c.step(); # Check result # Mapped var = mapped_result + af + submodel af + af mapped_result2 = mapped_result + 10 + 1 + 10; # Unmapped var = unmapped_result + af + af unmapped_result2 = unmapped_result - 1000 - 1000; c.getPopulationData(pop); assert pop.getCurrentListSize() == int(AGENT_COUNT/2) for i in range(pop.getCurrentListSize()): ai = pop.getInstanceAt(i); _i = ai.getVariableUInt(AGENT_VAR_i); assert _i % 9 == 0 # Var divides cleanly by 3 __i = _i/9; # Calculate original value of AGENT_VAR_i assert __i % 2 != 0 # Agent doesn't have original AGENT_VAR_i that was supposed to be killed assert ai.getVariableUInt(AGENT_VAR1_NAME) == __i + mapped_result2; assert ai.getVariableUInt(AGENT_VAR2_NAME) == unmapped_result2 - __i; def test_AgentDeath_InSubModel(self): sm = pyflamegpu.ModelDescription(SUB_MODEL_NAME); # Define SubModel a = sm.newAgent(AGENT_NAME); a.newVariableUInt(AGENT_VAR1_NAME, 0); a.newVariableUInt(AGENT_VAR2_NAME, 0); a.newVariableUInt(AGENT_VAR_i, 0); fn_1 = a.newRTCFunction("1", KillEven); fn_1.setAllowAgentDeath(True); sm.newLayer().addAgentFunction(fn_1); exitcdn = ExitAlways() sm.addExitConditionCallback(exitcdn); m = pyflamegpu.ModelDescription(MODEL_NAME); ma = m.newAgent(AGENT_NAME); # Define Model ma.newVariableUInt(AGENT_VAR1_NAME, 1); ma.newVariableUInt(AGENT_VAR2_NAME, UINT_MAX()); ma.newVariableUInt(AGENT_VAR_i); fn_2 = ma.newRTCFunction("2", AddOne2); fn_3 = ma.newRTCFunction("3", AddTen); smd = m.newSubModel("sub", sm); smd.bindAgent(AGENT_NAME, AGENT_NAME, True, True); # auto map vars and states m.newLayer().addAgentFunction(fn_2); m.newLayer().addSubModel("sub"); m.newLayer().addAgentFunction(fn_3); # Init Agents pop = pyflamegpu.AgentPopulation(ma, AGENT_COUNT); for i in range(AGENT_COUNT): ai = pop.getNextInstance(); ai.setVariableUInt(AGENT_VAR_i, i); ai.setVariableUInt(AGENT_VAR1_NAME, i); ai.setVariableUInt(AGENT_VAR2_NAME, UINT_MAX() - i); # Other vars all default init # Init Model c = pyflamegpu.CUDASimulation(m) c.SimulationConfig().steps = 1; c.applyConfig(); c.setPopulationData(pop); # Run Model c.step(); # Check result # Mapped var = init + af + submodel af + af mapped_result = 1 + 10; # Unmapped var = init + af + af unmapped_result = UINT_MAX() - 1000; c.getPopulationData(pop); assert pop.getCurrentListSize() == int(AGENT_COUNT*0.75) # if AGENT_COUNT > 1000 this test will fail for i in range(pop.getCurrentListSize()): ai = pop.getInstanceAt(i); _i = ai.getVariableUInt(AGENT_VAR_i); assert _i % 3 == 0 # Var divides cleanly by 3 __i = int(_i/3); # Calculate original value of AGENT_VAR_i assert __i % 4 != 0 # Agent doesn't have original AGENT_VAR_i that was supposed to be killed assert ai.getVariableUInt(AGENT_VAR1_NAME) == __i + mapped_result; assert ai.getVariableUInt(AGENT_VAR2_NAME) == unmapped_result - __i; # Run Model c.step(); # Check result # Mapped var = mapped_result + af + submodel af + af mapped_result2 = mapped_result + 1 + 10; # Unmapped var = unmapped_result + af + af unmapped_result2 = unmapped_result - 1000; c.getPopulationData(pop); assert pop.getCurrentListSize() == int(AGENT_COUNT/2) for i in range(pop.getCurrentListSize()): ai = pop.getInstanceAt(i); _i = ai.getVariableUInt(AGENT_VAR_i); assert _i % 9 == 0 # Var divides cleanly by 3 __i = _i/9; # Calculate original value of AGENT_VAR_i assert __i % 2 != 0 # Agent doesn't have original AGENT_VAR_i that was supposed to be killed assert ai.getVariableUInt(AGENT_VAR1_NAME) == __i + mapped_result2; assert ai.getVariableUInt(AGENT_VAR2_NAME) == unmapped_result2 - __i; def test_AgentDeath_InNestedSubModel(self): sm = pyflamegpu.ModelDescription(SUB_MODEL_NAME); # Define SubModel a = sm.newAgent(AGENT_NAME); a.newVariableUInt(AGENT_VAR1_NAME, 0); a.newVariableUInt(AGENT_VAR2_NAME, 0); a.newVariableUInt(AGENT_VAR_i, 0); fn_1 = a.newRTCFunction("1", KillEven); fn_1.setAllowAgentDeath(True); sm.newLayer().addAgentFunction(fn_1); exitcdn = ExitAlways() sm.addExitConditionCallback(exitcdn); # Define Proxy SubModel psm = pyflamegpu.ModelDescription(SUB_MODEL_NAME); pa = psm.newAgent(AGENT_NAME); pa.newVariableUInt(AGENT_VAR1_NAME, 0); pa.newVariableUInt(AGENT_VAR2_NAME, 0); pa.newVariableUInt(AGENT_VAR_i, 0); psmd = psm.newSubModel("sub", sm); psmd.bindAgent(AGENT_NAME, AGENT_NAME, True, True); # auto map vars and states psm.newLayer().addSubModel("sub"); psm.addExitConditionCallback(exitcdn); m = pyflamegpu.ModelDescription(MODEL_NAME); ma = m.newAgent(AGENT_NAME); # Define Model ma.newVariableUInt(AGENT_VAR1_NAME, 1); ma.newVariableUInt(AGENT_VAR2_NAME, UINT_MAX()); ma.newVariableUInt(AGENT_VAR_i); fn_2 = ma.newRTCFunction("2", AddOne2); fn_3 = ma.newRTCFunction("3", AddTen); smd = m.newSubModel("proxysub", sm); smd.bindAgent(AGENT_NAME, AGENT_NAME, True, True); # auto map vars and states m.newLayer().addAgentFunction(fn_2); m.newLayer().addSubModel("proxysub"); m.newLayer().addAgentFunction(fn_3); # Init Agents pop = pyflamegpu.AgentPopulation(ma, AGENT_COUNT); for i in range(AGENT_COUNT): ai = pop.getNextInstance(); ai.setVariableUInt(AGENT_VAR_i, i); ai.setVariableUInt(AGENT_VAR1_NAME, i); ai.setVariableUInt(AGENT_VAR2_NAME, UINT_MAX() - i); # Other vars all default init # Init Model c = pyflamegpu.CUDASimulation(m) c.SimulationConfig().steps = 1; c.applyConfig(); c.setPopulationData(pop); # Run Model c.step(); # Check result # Mapped var = init + af + submodel af + af mapped_result = 1 + 10; # Unmapped var = init + af + af unmapped_result = UINT_MAX() - 1000; c.getPopulationData(pop); assert pop.getCurrentListSize() == int(AGENT_COUNT*0.75) # if AGENT_COUNT > 1000 this test will fail for i in range(pop.getCurrentListSize()): ai = pop.getInstanceAt(i); _i = ai.getVariableUInt(AGENT_VAR_i); assert _i % 3 == 0 # Var divides cleanly by 3 __i = int(_i/3); # Calculate original value of AGENT_VAR_i assert __i % 4 != 0 # Agent doesn't have original AGENT_VAR_i that was supposed to be killed assert ai.getVariableUInt(AGENT_VAR1_NAME) == __i + mapped_result; assert ai.getVariableUInt(AGENT_VAR2_NAME) == unmapped_result - __i; # Run Model c.step(); # Check result # Mapped var = mapped_result + af + submodel af + af mapped_result2 = mapped_result + 1 + 10; # Unmapped var = unmapped_result + af + af unmapped_result2 = unmapped_result - 1000; c.getPopulationData(pop); assert pop.getCurrentListSize() == int(AGENT_COUNT/2) for i in range(pop.getCurrentListSize()): ai = pop.getInstanceAt(i); _i = ai.getVariableUInt(AGENT_VAR_i); assert _i % 9 == 0 # Var divides cleanly by 3 __i = _i/9; # Calculate original value of AGENT_VAR_i assert __i % 2 != 0 # Agent doesn't have original AGENT_VAR_i that was supposed to be killed assert ai.getVariableUInt(AGENT_VAR1_NAME) == __i + mapped_result2; assert ai.getVariableUInt(AGENT_VAR2_NAME) == unmapped_result2 - __i;
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bcf050175d8444e899f47b47449d5c9f1d3f1014
14,809
py
Python
tests/test_sort.py
adamrp/emperor
ee12881953cdd65e13325c09d5adf87db7e63afd
[ "MIT" ]
null
null
null
tests/test_sort.py
adamrp/emperor
ee12881953cdd65e13325c09d5adf87db7e63afd
[ "MIT" ]
null
null
null
tests/test_sort.py
adamrp/emperor
ee12881953cdd65e13325c09d5adf87db7e63afd
[ "MIT" ]
null
null
null
#!/usr/bin/env python # File created on 20 Apr 2013 from __future__ import division __author__ = "Yoshiki Vazquez Baeza" __copyright__ = "Copyright 2013, The Emperor Project" __credits__ = ["Yoshiki Vazquez Baeza"] __license__ = "BSD" __version__ = "0.9.3-dev" __maintainer__ = "Yoshiki Vazquez Baeza" __email__ = "yoshiki89@gmail.com" __status__ = "Development" from unittest import TestCase, main from numpy import array from numpy.testing import assert_almost_equal from emperor.sort import (sort_taxa_table_by_pcoa_coords, sort_comparison_filenames) class TopLevelTests(TestCase): def setUp(self): self.otu_headers = ['PC.636', 'PC.635', 'PC.356', 'PC.481', 'PC.354', 'PC.593', 'PC.355', 'PC.607', 'PC.634'] self.otu_table = array([[0.02739726, 0.04697987, 0.02, 0.04697987, 0.01, 0.02027027, 0.01360544, 0.01342282, 0.02666667], [0.00684932, 0.02013423, 0.02, 0.00671141, 0., 0.00675676, 0., 0., 0.], [ 0.14383562, 0.27516779, 0.65333333, 0.52348993, 0.38926174, 0.69594595, 0.28571429, 0.0738255, 0.19333333], [0., 0.02013423, 0.03333333, 0.01342282, 0., 0.0472973, 0., 0., 0.], [0.78767123, 0.45637584, 0.22, 0.39597315, 0.41610738, 0.20945946, 0.70068027, 0.89932886, 0.77333333], [0.,0.02013423, 0.01333333, 0.00671141, 0.03355705, 0.00675676, 0., 0., 0.],[0., 0., 0.01333333, 0., 0., 0., 0., 0., 0.], [0.03424658, 0.16107383, 0.02666667, 0.00671141, 0.14765101, 0.01351351, 0., 0.01342282, 0.00666667]]) self.coords = COORDS self.coords_header = ['PC.354','PC.356','PC.481','PC.593', 'PC.355','PC.607','PC.634', 'PC.636', 'PC.635'] self.coord_fps = ['output_data/emperor/bray_curtis_pc_transformed_q1.txt', 'output_data/emperor/bray_curtis_pc_transformed_q10.txt', 'output_data/emperor/bray_curtis_pc_transformed_q11.txt', 'output_data/emperor/bray_curtis_pc_transformed_q12.txt', 'output_data/emperor/bray_curtis_pc_transformed_q13.txt', 'output_data/emperor/bray_curtis_pc_transformed_q14.txt', 'output_data/emperor/bray_curtis_pc_transformed_q15.txt', 'output_data/emperor/bray_curtis_pc_transformed_q16.txt', 'output_data/emperor/bray_curtis_pc_transformed_q17.txt', 'output_data/emperor/bray_curtis_pc_transformed_q18.txt', 'output_data/emperor/bray_curtis_pc_transformed_q19.txt', 'output_data/emperor/bray_curtis_pc_transformed_q2.txt', 'output_data/emperor/bray_curtis_pc_transformed_q20.txt', 'output_data/emperor/bray_curtis_pc_transformed_q21.txt', 'output_data/emperor/bray_curtis_pc_transformed_q22.txt', 'output_data/emperor/bray_curtis_pc_transformed_q23.txt', 'output_data/emperor/bray_curtis_pc_transformed_q24.txt', 'output_data/emperor/bray_curtis_pc_transformed_q25.txt', 'output_data/emperor/bray_curtis_pc_transformed_q26.txt', 'output_data/emperor/bray_curtis_pc_transformed_q27.txt', 'output_data/emperor/bray_curtis_pc_transformed_q28.txt', 'output_data/emperor/bray_curtis_pc_transformed_q29.txt', 'output_data/emperor/bray_curtis_pc_transformed_q3.txt', 'output_data/emperor/bray_curtis_pc_transformed_q4.txt', 'output_data/emperor/bray_curtis_pc_transformed_q5.txt', 'output_data/emperor/bray_curtis_pc_transformed_q6.txt', 'output_data/emperor/bray_curtis_pc_transformed_q7.txt', 'output_data/emperor/bray_curtis_pc_transformed_q8.txt', 'output_data/emperor/bray_curtis_pc_transformed_q9.txt'] self.coord_fps_garbage = [ 'output_data/emperor/bray_qurtis_pc_transformed_q1.txt', 'output_data/emperor/bray_111urtis_q_transformed_q10.txt', 'output_data/emperor/aaaaaaa.txt', 'output_data/emperor/bray_curtis_pc_transformed_q12.txt', 'output_data/emperor/qqq2223_curtis_qc_transformed_q13.txt', 'output_data/emperor/bray_curtis_pc_transformed_q14.txt', 'output_data/emperor/bray_curtis_pc_transformed_reference.txtoutput_data/emperor/bray_curtis_pc_transformed_q15.txt', 'output_data/emperor/bray_curtis_pc_transformed_q16.txt', 'output_data/emperor/bray_curtis_pc_transformed_q17.txt', 'output_data/emperor/bray_curtis_pc_transformed_q18.txt', 'output_data/emperor/bray_curtis_pc_transformed_q19.txt', 'output_data/emperor/bray_curtis_pc_transformed_q2.txt', 'output_data/emperor/boom.txt', 'output_data/emperor/another_file with some characters and stuff .txt', 'output_data/emperor/some_other_file_that_foo_wants_to_compare.txt', 'output_data/emperor/bray_curtis_pc_transformed_q23.txt', 'output_data/emperor/bray_curtis_pc_transformed_q24.txt', 'output_data/emperor/bray_curtis_pc_transformed_q25.txt', 'output_data/emperor/bray_curtis_pc_transformed_q26.txt', 'output_data/emperor/bray_curtis_pc_transformed_q27.txt', 'output_data/emperor/bray_curtis_pc_transformed_q28.txt', 'output_data/emperor/bray_curtis_pc_transformed_q29.txt', 'output_data/emperor/bray_curtis_pc_transformed_q3.txt', 'output_data/emperor/bray_curtis_pc_transformed_q4.txt', 'output_data/emperor/bray_curtis_pc_transformed_q5.txt', 'output_data/emperor/bray_curtis_pc_transformed_q6.txt', 'output_data/emperor/bray_curtis_pc_transformed_q7.txt', 'output_data/emperor/bray_curtis_pc_transformed_q8.txt', 'output_data/emperor/bray_curtis_pc_transformed_q9.txt'] def test_sort_taxa_table_by_pcoa_coords(self): """Make sure OTU table and coordinates are sorted equally""" # case with shuffled inputs o_headers, o_otu_table = sort_taxa_table_by_pcoa_coords( self.coords_header, self.otu_table, self.otu_headers) self.assertEquals(o_headers, ['PC.354','PC.356','PC.481','PC.593', 'PC.355','PC.607','PC.634', 'PC.636', 'PC.635']) assert_almost_equal(o_otu_table, OTU_TABLE_A) # case with shuffled inputs and fewer samples o_headers, o_otu_table = sort_taxa_table_by_pcoa_coords(['PC.354', 'PC.356','PC.635'], self.otu_table, self.otu_headers) self.assertEquals(o_headers, ['PC.354','PC.356','PC.635']) assert_almost_equal(o_otu_table, array([[ 0.01, 0.02, 0.04697987],[0., 0.02, 0.02013423], [0.38926174, 0.65333333, 0.27516779],[0., 0.03333333, 0.02013423],[0.41610738, 0.22, 0.45637584],[0.03355705, 0.01333333, 0.02013423],[0., 0.01333333, 0.],[0.14765101, 0.02666667, 0.16107383]])) def test_sort_comparison_filenames_regular(self): """Check filenames are sorted correctly""" # check it correctly sorts the files according to the suffix out_sorted = sort_comparison_filenames(self.coord_fps) self.assertEquals(out_sorted, [ 'output_data/emperor/bray_curtis_pc_transformed_q1.txt', 'output_data/emperor/bray_curtis_pc_transformed_q2.txt', 'output_data/emperor/bray_curtis_pc_transformed_q3.txt', 'output_data/emperor/bray_curtis_pc_transformed_q4.txt', 'output_data/emperor/bray_curtis_pc_transformed_q5.txt', 'output_data/emperor/bray_curtis_pc_transformed_q6.txt', 'output_data/emperor/bray_curtis_pc_transformed_q7.txt', 'output_data/emperor/bray_curtis_pc_transformed_q8.txt', 'output_data/emperor/bray_curtis_pc_transformed_q9.txt', 'output_data/emperor/bray_curtis_pc_transformed_q10.txt', 'output_data/emperor/bray_curtis_pc_transformed_q11.txt', 'output_data/emperor/bray_curtis_pc_transformed_q12.txt', 'output_data/emperor/bray_curtis_pc_transformed_q13.txt', 'output_data/emperor/bray_curtis_pc_transformed_q14.txt', 'output_data/emperor/bray_curtis_pc_transformed_q15.txt', 'output_data/emperor/bray_curtis_pc_transformed_q16.txt', 'output_data/emperor/bray_curtis_pc_transformed_q17.txt', 'output_data/emperor/bray_curtis_pc_transformed_q18.txt', 'output_data/emperor/bray_curtis_pc_transformed_q19.txt', 'output_data/emperor/bray_curtis_pc_transformed_q20.txt', 'output_data/emperor/bray_curtis_pc_transformed_q21.txt', 'output_data/emperor/bray_curtis_pc_transformed_q22.txt', 'output_data/emperor/bray_curtis_pc_transformed_q23.txt', 'output_data/emperor/bray_curtis_pc_transformed_q24.txt', 'output_data/emperor/bray_curtis_pc_transformed_q25.txt', 'output_data/emperor/bray_curtis_pc_transformed_q26.txt', 'output_data/emperor/bray_curtis_pc_transformed_q27.txt', 'output_data/emperor/bray_curtis_pc_transformed_q28.txt', 'output_data/emperor/bray_curtis_pc_transformed_q29.txt']) # if files with garbage are passed in, the sorting should be still # consistent,putting the "garbaged" filenames at the beginning out_sorted = sort_comparison_filenames(self.coord_fps_garbage) self.assertEquals(out_sorted, ['output_data/emperor/aaaaaaa.txt', 'output_data/emperor/boom.txt', 'output_data/emperor/another_file with some characters and stuff .txt', 'output_data/emperor/some_other_file_that_foo_wants_to_compare.txt', 'output_data/emperor/bray_qurtis_pc_transformed_q1.txt', 'output_data/emperor/bray_curtis_pc_transformed_q2.txt', 'output_data/emperor/bray_curtis_pc_transformed_q3.txt', 'output_data/emperor/bray_curtis_pc_transformed_q4.txt', 'output_data/emperor/bray_curtis_pc_transformed_q5.txt', 'output_data/emperor/bray_curtis_pc_transformed_q6.txt', 'output_data/emperor/bray_curtis_pc_transformed_q7.txt', 'output_data/emperor/bray_curtis_pc_transformed_q8.txt', 'output_data/emperor/bray_curtis_pc_transformed_q9.txt', 'output_data/emperor/bray_111urtis_q_transformed_q10.txt', 'output_data/emperor/bray_curtis_pc_transformed_q12.txt', 'output_data/emperor/qqq2223_curtis_qc_transformed_q13.txt', 'output_data/emperor/bray_curtis_pc_transformed_q14.txt', 'output_data/emperor/bray_curtis_pc_transformed_reference.txtoutput_data/emperor/bray_curtis_pc_transformed_q15.txt', 'output_data/emperor/bray_curtis_pc_transformed_q16.txt', 'output_data/emperor/bray_curtis_pc_transformed_q17.txt', 'output_data/emperor/bray_curtis_pc_transformed_q18.txt', 'output_data/emperor/bray_curtis_pc_transformed_q19.txt', 'output_data/emperor/bray_curtis_pc_transformed_q23.txt', 'output_data/emperor/bray_curtis_pc_transformed_q24.txt', 'output_data/emperor/bray_curtis_pc_transformed_q25.txt', 'output_data/emperor/bray_curtis_pc_transformed_q26.txt', 'output_data/emperor/bray_curtis_pc_transformed_q27.txt', 'output_data/emperor/bray_curtis_pc_transformed_q28.txt', 'output_data/emperor/bray_curtis_pc_transformed_q29.txt']) # tricky case with extensions in things that are not the filename out_sorted = sort_comparison_filenames([ 'output_data_q1.txt/emperor/bray_curtis_pc_transformed_q9.txt', 'output_data/emperorq11.txt/bray_curtis_pc_transformed_q2.txt', 'output_data_q44.txt/emperor/bray_curtis_pc_transformed_q11.txt', 'output_dataq-5.txt/emperor/bray_curtis_pc_transformed_q3.txt', 'output_data_q511.txt/emperor/bray_curtis_pc_transformed_q1.txt']) self.assertEquals(out_sorted, [ 'output_data_q511.txt/emperor/bray_curtis_pc_transformed_q1.txt', 'output_data/emperorq11.txt/bray_curtis_pc_transformed_q2.txt', 'output_dataq-5.txt/emperor/bray_curtis_pc_transformed_q3.txt', 'output_data_q1.txt/emperor/bray_curtis_pc_transformed_q9.txt', 'output_data_q44.txt/emperor/bray_curtis_pc_transformed_q11.txt']) # make sure nothing happens when an empty list is passed self.assertEquals(sort_comparison_filenames([]), []) COORDS = array([[0.280399117569, -0.0060128286014, 0.0234854344148, -0.0468109474823, -0.146624450094, 0.00566979124596, -0.0354299634191, -0.255785794275, -4.84141986706e-09], [0.228820399536, -0.130142097093, -0.287149447883, 0.0864498846421, 0.0442951919304, 0.20604260722, 0.0310003571386, 0.0719920436501, -4.84141986706e-09], [0.0422628480532, -0.0139681511889, 0.0635314615517, -0.346120552134, -0.127813807608, 0.0139350721063, 0.0300206887328, 0.140147849223, -4.84141986706e-09], [0.232872767451, 0.139788385269, 0.322871079774, 0.18334700682, 0.0204661596818, 0.0540589147147, -0.0366250872041, 0.0998235721267, -4.84141986706e-09], [0.170517581885, -0.194113268955, -0.0308965283066, 0.0198086158783, 0.155100062794, -0.279923941712, 0.0576092515759, 0.0242481862127, -4.84141986706e-09], [-0.0913299284215, 0.424147148265, -0.135627421345, -0.057519480907, 0.151363490722, -0.0253935675552, 0.0517306152066, -0.038738217609, -4.84141986706e-09], [-0.349339228244, -0.120787589539, 0.115274502117, 0.0694953933826, -0.0253722182853, 0.067853201946, 0.244447634756, -0.0598827706386, -4.84141986706e-09], [-0.276542163845, -0.144964375408, 0.0666467344429, -0.0677109454288, 0.176070269506, 0.072969390136, -0.229889463523, -0.0465989416581, -4.84141986706e-09], [-0.237661393984, 0.0460527772512, -0.138135814766, 0.159061025229, -0.247484698646, -0.115211468101, -0.112864033263, 0.0647940729676, -4.84141986706e-09]]) OTU_TABLE_A = array([[ 0.01, 0.02, 0.04697987, 0.02027027, 0.01360544, 0.01342282, 0.02666667, 0.02739726, 0.04697987], [ 0., 0.02, 0.00671141, 0.00675676, 0., 0., 0., 0.00684932, 0.02013423], [ 0.38926174, 0.65333333, 0.52348993, 0.69594595, 0.28571429, 0.0738255, 0.19333333, 0.14383562, 0.27516779], [ 0., 0.03333333, 0.01342282, 0.0472973, 0., 0., 0., 0., 0.02013423], [ 0.41610738, 0.22, 0.39597315, 0.20945946, 0.70068027, 0.89932886, 0.77333333, 0.78767123, 0.45637584], [ 0.03355705, 0.01333333, 0.00671141, 0.00675676, 0., 0., 0., 0., 0.02013423], [ 0., 0.01333333, 0., 0., 0., 0., 0., 0., 0.], [ 0.14765101, 0.02666667, 0.00671141, 0.01351351, 0., 0.01342282, 0.00666667, 0.03424658, 0.16107383]]) if __name__ == "__main__": main()
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4.896933
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0.655749
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6
4c18ded2923a45470de1489355d6ae0e2397c30d
615
py
Python
ui/python/run.py
calebbergman/scapix-example1
668bb5148d7fa014e8ec94d86806b68368f6834d
[ "MIT" ]
1
2021-03-02T09:21:29.000Z
2021-03-02T09:21:29.000Z
ui/python/run.py
calebbergman/scapix-example1
668bb5148d7fa014e8ec94d86806b68368f6834d
[ "MIT" ]
null
null
null
ui/python/run.py
calebbergman/scapix-example1
668bb5148d7fa014e8ec94d86806b68368f6834d
[ "MIT" ]
null
null
null
#!/usr/bin/env python3 import os, sys sys.path.append(os.path.join(os.path.dirname(__file__), '../../project/build/vs_python/Debug')) sys.path.append(os.path.join(os.path.dirname(__file__), '../../project/build/vs_python/Release')) sys.path.append(os.path.join(os.path.dirname(__file__), '../../project/build/xcode_mac_python/Debug')) sys.path.append(os.path.join(os.path.dirname(__file__), '../../project/build/xcode_mac_python/Release')) sys.path.append(os.path.join(os.path.dirname(__file__), '../../project/build/default_python')) import chatlib c = chatlib.Contact() c.name("hello world!") print (c.name())
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615
4.431579
0.294737
0.142518
0.154394
0.178147
0.779097
0.779097
0.779097
0.779097
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6
4c201eb6caec060e8859015af29d48b27740f872
40
py
Python
tests/test_worksheet.py
ecmascriptguru/openpyxl-templates
635a84cf1538f713a0aff29c5dfaa1eb578db6a9
[ "MIT" ]
38
2017-03-29T09:05:16.000Z
2021-07-08T07:48:03.000Z
tests/test_worksheet.py
ecmascriptguru/openpyxl-templates
635a84cf1538f713a0aff29c5dfaa1eb578db6a9
[ "MIT" ]
11
2018-01-06T11:34:32.000Z
2020-05-08T12:40:39.000Z
tests/test_worksheet.py
ecmascriptguru/openpyxl-templates
635a84cf1538f713a0aff29c5dfaa1eb578db6a9
[ "MIT" ]
15
2018-01-06T11:48:39.000Z
2020-09-23T02:27:19.000Z
# TODO: Add tests for sheet base class
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6
4c21729940bd99ea5c13710e70c003f64fd0b15a
891
py
Python
src/2021/may/27/kaprekars_constant.py
xaverrd/braingu-toy-problems
608030ab83d6f3161d70d782157f759677cc9d3e
[ "MIT" ]
null
null
null
src/2021/may/27/kaprekars_constant.py
xaverrd/braingu-toy-problems
608030ab83d6f3161d70d782157f759677cc9d3e
[ "MIT" ]
null
null
null
src/2021/may/27/kaprekars_constant.py
xaverrd/braingu-toy-problems
608030ab83d6f3161d70d782157f759677cc9d3e
[ "MIT" ]
2
2021-05-27T14:23:04.000Z
2021-05-28T14:18:35.000Z
# Have the function KaprekarsConstant(num) take the num parameter being passed which will be a 4-digit number with at least two distinct digits. Your program should perform the following routine on the number: Arrange the digits in descending order and in ascending order (adding zeroes to fit it to a 4-digit number), and subtract the smaller number from the bigger number. Then repeat the previous step. Performing this routine will always cause you to reach a fixed number: 6174. Then performing the routine on 6174 will always give you 6174 (7641 - 1467 = 6174). Your program should return the number of times this routine must be performed until 6174 is reached. For example: if num is 3524 your program should return 3 because of the following steps: (1) 5432 - 2345 = 3087, (2) 8730 - 0378 = 8352, (3) 8532 - 2358 = 6174. def kaprekars_constant(str): # code goes here return str
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829
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0.943883
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0.5
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6
4c6471320c3445857ee2708b13ba434bf5865a77
17,721
py
Python
polygon/graphql/product/tests/test_product_minimal_variant_price.py
giocatron/Polygon
b3b0e0047bf20eb91379b594fd26603fcf279880
[ "CC-BY-4.0" ]
null
null
null
polygon/graphql/product/tests/test_product_minimal_variant_price.py
giocatron/Polygon
b3b0e0047bf20eb91379b594fd26603fcf279880
[ "CC-BY-4.0" ]
null
null
null
polygon/graphql/product/tests/test_product_minimal_variant_price.py
giocatron/Polygon
b3b0e0047bf20eb91379b594fd26603fcf279880
[ "CC-BY-4.0" ]
2
2020-11-24T22:23:08.000Z
2020-11-24T23:41:36.000Z
from unittest.mock import patch import graphene from freezegun import freeze_time from graphql_relay import from_global_id, to_global_id from ...discount.enums import DiscountValueTypeEnum from ...tests.utils import assert_negative_positive_decimal_value, get_graphql_content @patch( "polygon.graphql.product.mutations.products" ".update_product_minimal_variant_price_task" ) def test_product_variant_create_updates_minimal_variant_price( mock_update_product_minimal_variant_price_task, staff_api_client, product, permission_manage_products, ): query = """ mutation ProductVariantCreate( $productId: ID!, $sku: String!, $price: PositiveDecimal, $attributes: [AttributeValueInput]!, ) { productVariantCreate( input: { product: $productId, sku: $sku, price: $price, attributes: $attributes } ) { productVariant { name } productErrors { message field } } } """ product_id = to_global_id("Product", product.pk) sku = "1" price = "1.99" variant_id = graphene.Node.to_global_id( "Attribute", product.product_type.variant_attributes.first().pk ) variant_value = "test-value" variables = { "productId": product_id, "sku": sku, "price": price, "attributes": [{"id": variant_id, "values": [variant_value]}], } response = staff_api_client.post_graphql( query, variables, permissions=[permission_manage_products] ) assert response.status_code == 200 content = get_graphql_content(response) data = content["data"]["productVariantCreate"] assert data["productErrors"] == [] mock_update_product_minimal_variant_price_task.delay.assert_called_once_with( product.pk ) @patch( "polygon.graphql.product.mutations.products" ".update_product_minimal_variant_price_task" ) def test_product_variant_update_updates_minimal_variant_price( mock_update_product_minimal_variant_price_task, staff_api_client, product, permission_manage_products, ): query = """ mutation ProductVariantUpdate( $id: ID!, $price: PositiveDecimal, ) { productVariantUpdate( id: $id, input: { price: $price, } ) { productVariant { name } errors { message field } } } """ variant = product.variants.first() variant_id = to_global_id("ProductVariant", variant.pk) price = "1.99" variables = {"id": variant_id, "price": price} response = staff_api_client.post_graphql( query, variables, permissions=[permission_manage_products] ) assert response.status_code == 200 content = get_graphql_content(response) data = content["data"]["productVariantUpdate"] assert data["errors"] == [] mock_update_product_minimal_variant_price_task.delay.assert_called_once_with( product.pk ) @patch( "polygon.graphql.product.mutations.products" ".update_product_minimal_variant_price_task" ) def test_product_variant_update_updates_invalid_variant_price( mock_update_product_minimal_variant_price_task, staff_api_client, product, permission_manage_products, ): query = """ mutation ProductVariantUpdate( $id: ID!, $price: PositiveDecimal, ) { productVariantUpdate( id: $id, input: { price: $price, } ) { productVariant { name } productErrors { field message code } } } """ staff_api_client.user.user_permissions.add(permission_manage_products) variant = product.variants.first() variant_id = to_global_id("ProductVariant", variant.pk) price = "-1.99" variables = {"id": variant_id, "price": price} response = staff_api_client.post_graphql(query, variables) assert_negative_positive_decimal_value(response) @patch( "polygon.graphql.product.mutations.products" ".update_product_minimal_variant_price_task" ) def test_product_variant_update_updates_invalid_cost_price( mock_update_product_minimal_variant_price_task, staff_api_client, product, permission_manage_products, ): query = """ mutation ProductVariantUpdate( $id: ID!, $costPrice: PositiveDecimal, ) { productVariantUpdate( id: $id, input: { costPrice: $costPrice, } ) { productVariant { name } productErrors { field message code } } } """ staff_api_client.user.user_permissions.add(permission_manage_products) variant = product.variants.first() variant_id = to_global_id("ProductVariant", variant.pk) cost_price = "-1.99" variables = {"id": variant_id, "costPrice": cost_price} response = staff_api_client.post_graphql(query, variables) assert_negative_positive_decimal_value(response) @patch( "polygon.graphql.product.mutations.products." "update_product_minimal_variant_price_task" ) def test_product_variant_delete_updates_minimal_variant_price( mock_update_product_minimal_variant_price_task, staff_api_client, product, permission_manage_products, ): query = """ mutation ProductVariantDelete($id: ID!) { productVariantDelete(id: $id) { productVariant { id } errors { field message } } } """ variant = product.variants.first() variant_id = to_global_id("ProductVariant", variant.pk) variables = {"id": variant_id} response = staff_api_client.post_graphql( query, variables, permissions=[permission_manage_products] ) content = get_graphql_content(response) data = content["data"]["productVariantDelete"] assert data["errors"] == [] mock_update_product_minimal_variant_price_task.delay.assert_called_once_with( product.pk ) @patch("polygon.product.utils.update_products_minimal_variant_prices_task") def test_category_delete_updates_minimal_variant_price( mock_update_products_minimal_variant_prices_task, staff_api_client, categories_tree_with_published_products, permission_manage_products, ): parent = categories_tree_with_published_products product_list = [parent.children.first().products.first(), parent.products.first()] query = """ mutation CategoryDelete($id: ID!) { categoryDelete(id: $id) { category { name } errors { field message } } } """ variables = {"id": to_global_id("Category", parent.pk)} response = staff_api_client.post_graphql( query, variables, permissions=[permission_manage_products] ) assert response.status_code == 200 content = get_graphql_content(response) data = content["data"]["categoryDelete"] assert data["errors"] == [] mock_update_products_minimal_variant_prices_task.delay.assert_called_once() ( _call_args, call_kwargs, ) = mock_update_products_minimal_variant_prices_task.delay.call_args assert set(call_kwargs["product_ids"]) == set(p.pk for p in product_list) for product in product_list: product.refresh_from_db() assert not product.category @patch( "polygon.graphql.product.mutations.products" ".update_products_minimal_variant_prices_of_catalogues_task" ) def test_collection_add_products_updates_minimal_variant_price( mock_update_minimal_variant_prices_task, staff_api_client, sale, collection, product_list, permission_manage_products, ): sale.collections.add(collection) assert collection.products.count() == 0 query = """ mutation CollectionAddProducts($id: ID!, $products: [ID]!) { collectionAddProducts(collectionId: $id, products: $products) { collection { products { totalCount } } errors { field message } } } """ collection_id = to_global_id("Collection", collection.id) product_ids = [to_global_id("Product", product.pk) for product in product_list] variables = {"id": collection_id, "products": product_ids} response = staff_api_client.post_graphql( query, variables, permissions=[permission_manage_products] ) content = get_graphql_content(response) data = content["data"]["collectionAddProducts"] assert data["errors"] == [] mock_update_minimal_variant_prices_task.delay.assert_called_once_with( product_ids=[p.pk for p in product_list] ) @patch( "polygon.graphql.product.mutations" ".products.update_products_minimal_variant_prices_of_catalogues_task" ) def test_collection_remove_products_updates_minimal_variant_price( mock_update_minimal_variant_prices_task, staff_api_client, sale, collection, product_list, permission_manage_products, ): sale.collections.add(collection) assert collection.products.count() == 0 query = """ mutation CollectionRemoveProducts($id: ID!, $products: [ID]!) { collectionRemoveProducts(collectionId: $id, products: $products) { collection { products { totalCount } } errors { field message } } } """ collection_id = to_global_id("Collection", collection.id) product_ids = [to_global_id("Product", product.pk) for product in product_list] variables = {"id": collection_id, "products": product_ids} response = staff_api_client.post_graphql( query, variables, permissions=[permission_manage_products] ) content = get_graphql_content(response) data = content["data"]["collectionRemoveProducts"] assert data["errors"] == [] mock_update_minimal_variant_prices_task.delay.assert_called_once_with( product_ids=[p.pk for p in product_list] ) @freeze_time("2010-05-31 12:00:01") @patch( "polygon.graphql.discount.mutations" ".update_products_minimal_variant_prices_of_discount_task" ) def test_sale_create_updates_products_minimal_variant_prices( mock_update_minimal_variant_prices_task, staff_api_client, permission_manage_discounts, ): query = """ mutation SaleCreate( $name: String, $type: DiscountValueTypeEnum, $value: PositiveDecimal, $products: [ID] ) { saleCreate(input: { name: $name, type: $type, value: $value, products: $products }) { sale { id } errors { field message } } } """ variables = { "name": "Half price product", "type": DiscountValueTypeEnum.PERCENTAGE.name, "value": "50", } response = staff_api_client.post_graphql( query, variables, permissions=[permission_manage_discounts] ) assert response.status_code == 200 content = get_graphql_content(response) assert content["data"]["saleCreate"]["errors"] == [] relay_sale_id = content["data"]["saleCreate"]["sale"]["id"] _sale_class_name, sale_id_str = from_global_id(relay_sale_id) sale_id = int(sale_id_str) mock_update_minimal_variant_prices_task.delay.assert_called_once_with(sale_id) @patch( "polygon.graphql.discount.mutations" ".update_products_minimal_variant_prices_of_discount_task" ) def test_sale_update_updates_products_minimal_variant_prices( mock_update_minimal_variant_prices_task, staff_api_client, sale, permission_manage_discounts, ): query = """ mutation SaleUpdate($id: ID!, $value: PositiveDecimal) { saleUpdate(id: $id, input: {value: $value}) { sale { id } errors { field message } } } """ variables = {"id": to_global_id("Sale", sale.pk), "value": "99"} response = staff_api_client.post_graphql( query, variables, permissions=[permission_manage_discounts] ) assert response.status_code == 200 content = get_graphql_content(response) assert content["data"]["saleUpdate"]["errors"] == [] mock_update_minimal_variant_prices_task.delay.assert_called_once_with(sale.pk) @patch( "polygon.graphql.discount.mutations" ".update_products_minimal_variant_prices_of_discount_task" ) def test_sale_delete_updates_products_minimal_variant_prices( mock_update_minimal_variant_prices_task, staff_api_client, sale, permission_manage_discounts, ): query = """ mutation SaleDelete($id: ID!) { saleDelete(id: $id) { sale { id } errors { field message } } } """ variables = {"id": to_global_id("Sale", sale.pk)} response = staff_api_client.post_graphql( query, variables, permissions=[permission_manage_discounts] ) assert response.status_code == 200 content = get_graphql_content(response) assert content["data"]["saleDelete"]["errors"] == [] mock_update_minimal_variant_prices_task.delay.assert_called_once_with(sale.pk) @patch( "polygon.graphql.discount.mutations" ".update_products_minimal_variant_prices_of_catalogues_task" ) def test_sale_add_catalogues_updates_products_minimal_variant_prices( mock_update_minimal_variant_prices_task, staff_api_client, sale, product, category, collection, permission_manage_discounts, ): query = """ mutation SaleCataloguesAdd($id: ID!, $input: CatalogueInput!) { saleCataloguesAdd(id: $id, input: $input) { errors { field message } } } """ sale_id = to_global_id("Sale", sale.pk) product_id = to_global_id("Product", product.pk) collection_id = to_global_id("Collection", collection.pk) category_id = to_global_id("Category", category.pk) variables = { "id": sale_id, "input": { "products": [product_id], "collections": [collection_id], "categories": [category_id], }, } response = staff_api_client.post_graphql( query, variables, permissions=[permission_manage_discounts] ) assert response.status_code == 200 content = get_graphql_content(response) assert content["data"]["saleCataloguesAdd"]["errors"] == [] mock_update_minimal_variant_prices_task.delay.assert_called_once_with( product_ids=[product.pk], category_ids=[category.pk], collection_ids=[collection.pk], ) @patch( "polygon.graphql.discount.mutations" ".update_products_minimal_variant_prices_of_catalogues_task" ) def test_sale_remove_catalogues_updates_products_minimal_variant_prices( mock_update_minimal_variant_prices_task, staff_api_client, sale, product, category, collection, permission_manage_discounts, ): assert product in sale.products.all() assert category in sale.categories.all() assert collection in sale.collections.all() query = """ mutation SaleCataloguesRemove($id: ID!, $input: CatalogueInput!) { saleCataloguesRemove(id: $id, input: $input) { errors { field message } } } """ sale_id = to_global_id("Sale", sale.pk) product_id = to_global_id("Product", product.pk) collection_id = to_global_id("Collection", collection.pk) category_id = to_global_id("Category", category.pk) variables = { "id": sale_id, "input": { "products": [product_id], "collections": [collection_id], "categories": [category_id], }, } response = staff_api_client.post_graphql( query, variables, permissions=[permission_manage_discounts] ) assert response.status_code == 200 content = get_graphql_content(response) assert content["data"]["saleCataloguesRemove"]["errors"] == [] mock_update_minimal_variant_prices_task.delay.assert_called_once_with( # noqa product_ids=[product.pk], category_ids=[category.pk], collection_ids=[collection.pk], )
29.339404
86
0.612494
1,702
17,721
5.998237
0.083431
0.067196
0.058772
0.022333
0.80047
0.77128
0.764326
0.750416
0.732393
0.732393
0
0.004561
0.294848
17,721
603
87
29.38806
0.81242
0.000226
0
0.624088
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0.389726
0.094045
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0.072993
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0.023723
false
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0
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0
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6
d5d02269c5bcf35875605489578cfe382dc29db8
34
py
Python
test_esc.py
htlemke/calx
27417db00e7038cec63501b6888f5ab1bdfaf202
[ "MIT" ]
null
null
null
test_esc.py
htlemke/calx
27417db00e7038cec63501b6888f5ab1bdfaf202
[ "MIT" ]
null
null
null
test_esc.py
htlemke/calx
27417db00e7038cec63501b6888f5ab1bdfaf202
[ "MIT" ]
null
null
null
def test_me(): print('test')
8.5
17
0.558824
5
34
3.6
0.8
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true
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1
1
0
0
0
0
1
0
6
d5de05304d8bf6293e708512f1020640efec40c8
108
py
Python
build_framework/clean.py
kdschlosser/wxAnimation
ad472719a77a081da5e51280d469cfd5d5bfcd3c
[ "MIT" ]
2
2020-03-23T11:29:56.000Z
2021-11-24T22:10:07.000Z
build_framework/clean.py
kdschlosser/wxAnimation
ad472719a77a081da5e51280d469cfd5d5bfcd3c
[ "MIT" ]
null
null
null
build_framework/clean.py
kdschlosser/wxAnimation
ad472719a77a081da5e51280d469cfd5d5bfcd3c
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- from distutils.command.clean import clean as _clean class clean(_clean): pass
15.428571
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0.685185
15
108
4.8
0.733333
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0.185185
108
7
52
15.428571
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0.194444
0
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true
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1
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6
d5eda6215f206e12bf22c3a3533dbfd98a07f2e9
47
py
Python
terrascript/azure/d.py
vutsalsinghal/python-terrascript
3b9fb5ad77453d330fb0cd03524154a342c5d5dc
[ "BSD-2-Clause" ]
null
null
null
terrascript/azure/d.py
vutsalsinghal/python-terrascript
3b9fb5ad77453d330fb0cd03524154a342c5d5dc
[ "BSD-2-Clause" ]
null
null
null
terrascript/azure/d.py
vutsalsinghal/python-terrascript
3b9fb5ad77453d330fb0cd03524154a342c5d5dc
[ "BSD-2-Clause" ]
null
null
null
# terrascript/azure/d.py import terrascript
9.4
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6
911ad49f01b3f032ed887320e34c40fdf5ff573b
9,492
py
Python
dobbi/collections/emoticons.py
iaramer/dobbi
8057d38cc7e9af7b10a0a8dc648a9953151ed774
[ "Apache-2.0" ]
23
2021-11-07T11:03:14.000Z
2022-03-18T15:29:26.000Z
dobbi/collections/emoticons.py
iaramer/dobbi
8057d38cc7e9af7b10a0a8dc648a9953151ed774
[ "Apache-2.0" ]
null
null
null
dobbi/collections/emoticons.py
iaramer/dobbi
8057d38cc7e9af7b10a0a8dc648a9953151ed774
[ "Apache-2.0" ]
null
null
null
EMOTICONS = { u":\)": "Happy face or smiley", u"=\)": "Happy face or smiley", u":‑\)": "Happy face or smiley", u":-\]": "Happy face or smiley", u":\]": "Happy face or smiley", u":-3": "Happy face smiley", u":3": "Happy face smiley", u":->": "Happy face smiley", u":>": "Happy face smiley", u"8-\)": "Happy face smiley", u":o\)": "Happy face smiley", u":-\}": "Happy face smiley", u":\}": "Happy face smiley", u":-\)": "Happy face smiley", u":c\)": "Happy face smiley", u":\^\)": "Happy face smiley", u"=\]": "Happy face smiley", u":‑D": "Laughing or big grin or laugh with glasses", u":D": "Laughing or big grin or laugh with glasses", u":d": "Laughing or big grin or laugh with glasses", u":-D": "Laughing or big grin or laugh with glasses", u":-d": "Laughing or big grin or laugh with glasses", u"8‑D": "Laughing or big grin or laugh with glasses", u"8D": "Laughing or big grin or laugh with glasses", u"X‑D": "Laughing or big grin or laugh with glasses", u"XD": "Laughing or big grin or laugh with glasses", u"=D": "Laughing or big grin or laugh with glasses", u"=3": "Laughing or big grin or laugh with glasses", u"B\^D": "Laughing or big grin or laugh with glasses", u":-\)\)": "Very happy", u":\)\)": "Very happy", u"=\)\)": "Very happy", u":‑\(": "Frown or sad or angry or pouting", u"=\(": "Frown or sad or angry or pouting", u":\(": "Frown or sad or angry or pouting", u":-\(": "Frown or sad or angry or pouting", u":‑c": "Frown or sad or angry or pouting", u":c": "Frown or sad or angry or pouting", u":‑<": "Frown or sad or angry or pouting", u":<": "Frown or sad or angry or pouting", u":‑\[": "Frown or sad or angry or pouting", u":\[": "Frown or sad or angry or pouting", u":-\|\|": "Frown or sad or angry or pouting", u">:\[": "Frown or sad or angry or pouting", u":\{": "Frown or sad or angry or pouting", u":@": "Frown or sad or angry or pouting", u">:\(": "Frown or sad or angry or pouting", u":'‑\(": "Crying", u":'\(": "Crying", u":'‑\)": "Tears of happiness", u":'\)": "Tears of happiness", u"D‑':": "Horror", u"D:<": "Disgust", u"D:": "Sadness", u"D8": "Great dismay", u"D;": "Great dismay", u"D=": "Great dismay", u"DX": "Great dismay", u":‑O": "Surprise", u"=O": "Surprise", u":‑o": "Surprise", u":o": "Surprise", u":-0": "Shock", u"8‑0": "Yawn", u">:O": "Yawn", u":-\*": "Kiss", u"=\*": "Kiss", u":\*": "Kiss", u":X": "Kiss", u";‑\)": "Wink or smirk", u";\)": "Wink or smirk", u"\*-\)": "Wink or smirk", u"\*\)": "Wink or smirk", u";‑\]": "Wink or smirk", u";\]": "Wink or smirk", u";\^\)": "Wink or smirk", u":‑,": "Wink or smirk", u";D": "Wink or smirk", u":‑P": "Tongue sticking out, cheeky, playful or blowing a raspberry", u":P": "Tongue sticking out, cheeky, playful or blowing a raspberry", u"X‑P": "Tongue sticking out, cheeky, playful or blowing a raspberry", u"XP": "Tongue sticking out, cheeky, playful or blowing a raspberry", u":‑Þ": "Tongue sticking out, cheeky, playful or blowing a raspberry", u":Þ": "Tongue sticking out, cheeky, playful or blowing a raspberry", u":b": "Tongue sticking out, cheeky, playful or blowing a raspberry", u"d:": "Tongue sticking out, cheeky, playful or blowing a raspberry", u"=p": "Tongue sticking out, cheeky, playful or blowing a raspberry", u">:P": "Tongue sticking out, cheeky, playful or blowing a raspberry", u":‑/": "Skeptical, annoyed, undecided, uneasy or hesitant", u":/": "Skeptical, annoyed, undecided, uneasy or hesitant", u":-\[.\]": "Skeptical, annoyed, undecided, uneasy or hesitant", u">:/": "Skeptical, annoyed, undecided, uneasy or hesitant", u"=/": "Skeptical, annoyed, undecided, uneasy or hesitant", u":L": "Skeptical, annoyed, undecided, uneasy or hesitant", u"=L": "Skeptical, annoyed, undecided, uneasy or hesitant", u":S": "Skeptical, annoyed, undecided, uneasy or hesitant", u":‑\|": "Straight face", u":\|": "Straight face", u":\$": "Embarrassed or blushing", u":‑x": "Sealed lips or wearing braces or tongue-tied", u":x": "Sealed lips or wearing braces or tongue-tied", u":‑#": "Sealed lips or wearing braces or tongue-tied", u":#": "Sealed lips or wearing braces or tongue-tied", u":‑&": "Sealed lips or wearing braces or tongue-tied", u":&": "Sealed lips or wearing braces or tongue-tied", u"O:‑\)": "Angel, saint or innocent", u"O:\)": "Angel, saint or innocent", u"0:‑3": "Angel, saint or innocent", u"0:3": "Angel, saint or innocent", u"0:‑\)": "Angel, saint or innocent", u"0:\)": "Angel, saint or innocent", u":‑b": "Tongue sticking out, cheeky, playful or blowing a raspberry", u"0;\^\)": "Angel, saint or innocent", u">:‑\)": "Evil or devilish", u">:\)": "Evil or devilish", u"\}:‑\)": "Evil or devilish", u"\}:\)": "Evil or devilish", u"3:‑\)": "Evil or devilish", u"3:\)": "Evil or devilish", u">;\)": "Evil or devilish", u"\|;‑\)": "Cool", u"\|‑O": "Bored", u":‑J": "Tongue in cheek", u"#‑\)": "Party all night", u"%‑\)": "Drunk or confused", u"%\)": "Drunk or confused", u":-###..": "Being sick", u":###..": "Being sick", u"<:‑\|": "Dump", u"\(>_<\)": "Troubled", u"\(>_<\)>": "Troubled", u"\(';'\)": "Baby", u"\(\^\^>``": "Nervous or Embarrassed or Troubled or Shy or Sweat drop", u"\(\^_\^;\)": "Nervous or Embarrassed or Troubled or Shy or Sweat drop", u"\(-_-;\)": "Nervous or Embarrassed or Troubled or Shy or Sweat drop", u"-_-": "Nervous or Embarrassed or Troubled or Shy or Sweat drop", u"\(~_~;\)": "Nervous or Embarrassed or Troubled or Shy or Sweat drop", u"\(・.・;\)": "Nervous or Embarrassed or Troubled or Shy or Sweat drop", u"\(-_-\)zzz": "Sleeping", u"\(\^_-\)": "Wink", u"\(\(+_+\)\)": "Confused", u"\(+o+\)": "Confused", u"\(o\|o\)": "Ultraman", u"\^_\^": "Joyful", u"\^\^": "Joyful", u"\(\^_\^\)/": "Joyful", u"\(\^O\^\)/": "Joyful", u"\(\^o\^\)/": "Joyful", u"\(__\)": "Kowtow as a sign of respect, or dogeza for apology", u"_\(._.\)_": "Kowtow as a sign of respect, or dogeza for apology", u"<\(_ _\)>": "Kowtow as a sign of respect, or dogeza for apology", u"<m\(__\)m>": "Kowtow as a sign of respect, or dogeza for apology", u"m\(__\)m": "Kowtow as a sign of respect, or dogeza for apology", u"m\(_ _\)m": "Kowtow as a sign of respect, or dogeza for apology", u"\('_'\)": "Sad or Crying", u"\(T_T\)": "Sad or Crying", u"\(;_;\)": "Sad or Crying", u"\(;_;": "Sad of Crying", u"\(;_:\)": "Sad or Crying", u"\(;O;\)": "Sad or Crying", u"\(:_;\)": "Sad or Crying", u"\(ToT\)": "Sad or Crying", u";_;": "Sad or Crying", u";-;": "Sad or Crying", u";n;": "Sad or Crying", u";;": "Sad or Crying", u"Q.Q": "Sad or Crying", u"T.T": "Sad or Crying", u"QQ": "Sad or Crying", u"Q_Q": "Sad or Crying", u"\(-.-\)": "Shame", u"\(-_-\)": "Shame", u"\(一一\)": "Shame", u"\(;一_一\)": "Shame", u"\(=_=\)": "Tired", u"\(=\^·\^=\)": "cat", u"\(=\^··\^=\)": "cat", u"=_\^= ": "cat", u"\(..\)": "Looking down", u"\(._.\)": "Looking down", u"\^m\^": "Giggling with hand covering mouth", u"\(・・\?": "Confusion", u"\(\?_\?\)": "Confusion", u">\^_\^<": "Normal Laugh", u"<\^!\^>": "Normal Laugh", u"\^/\^": "Normal Laugh", u"(\*\^_\^\*)": "Normal Laugh", u"\(\^<\^\)": "Normal Laugh", u"\(\^\^\)": "Normal Laugh", u"\(\^.\^\)": "Normal Laugh", u"\(\^_\^.\)": "Normal Laugh", u"\(\^_\^\)": "Normal Laugh", u"\(\^J\^\)": "Normal Laugh", u"\(\*\^.\^\*\)": "Normal Laugh", u"\(\^—\^)": "Normal Laugh", u"\(#\^.\^#\)": "Normal Laugh", u"(\^—\^)": "Waving", u"\(;_;\)/~~~": "Waving", u"\(\^.\^\)/~~~": "Waving", u"\(\$··\)/~~~": "Waving", u"\(-_-\)/~~~": "Waving", u"\(T_T\)/~~~": "Waving", u"\(ToT\)/~~~": "Waving", u"\(\*\^0\^\*\)": "Excited", u"\(\*_\*\)": "Amazed", u"\(\*_\*;": "Amazed", u"\(+_+\) \(@_@\)": "Amazed", u"\(\*\^\^\)v": "Laughing, Cheerful", u"\(\^_\^\)v": "Laughing, Cheerful", u"\(\(d\[-_-\]b\)\)": "Headphones, Listening to music", u'\(-"-\)': "Worried", u"\(ーー;\)": "Worried", u"\(\^0_0\^\)": "Eyeglasses", u"\(^v^\)": "Happy", u"\(^u^\)": "Happy", u"\(\^\)o\(\^\)": "Happy", u"\(\^O\^\)": "Happy", u"\(\^o\^\)": "Happy", u"\)\^o\^\(": "Happy", u":O": "Surprised", u"o_O": "Surprised", u"Oo": "Surprised", u"o_0": "Surprised", u"o.O": "Surpised", u"\(o.o\)": "Surprised", u"oO": "Surprised", u"\(\* ̄m ̄\)": "Dissatisfied", u"\(‘A`\)": "Snubbed or Deflated", u"c====3": "Penis", u"c===3": "Penis", u"c==3": "Penis", u"c====8": "Penis", u"c===8": "Penis", u"c==8": "Penis", u"8====D": "Penis", u"8===D": "Penis", u"8==D": "Penis", u"<3": "Heart", u"</3": "Broken_heart", } def preprocess_emoticons(s: str) -> str: return 'TOKEN_EMOTICON_' + s.replace(',', '') \ .replace(' ', '_') \ .replace('-', '_') \ .upper() EMOTICONS = {k: preprocess_emoticons(v) for k, v in EMOTICONS.items()}
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0.725539
0.687199
0.650744
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0.004614
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6
911d07cea42a61f93b94516da7a1671bf4bdd92c
9,523
py
Python
test_j3.py
freedomikeppp/makino-j3
c04cd37dc3d445cacee30ce96f732917babb7267
[ "Apache-2.0" ]
5
2021-06-19T05:16:33.000Z
2022-01-18T14:08:56.000Z
test_j3.py
suntang3954/makino-j3
c04cd37dc3d445cacee30ce96f732917babb7267
[ "Apache-2.0" ]
null
null
null
test_j3.py
suntang3954/makino-j3
c04cd37dc3d445cacee30ce96f732917babb7267
[ "Apache-2.0" ]
6
2019-06-04T00:07:08.000Z
2021-11-12T23:32:38.000Z
# coding: utf-8 ''' 本テストはマキノJ3のFanucテストスクリプトです。 ※注意 デバイスの操作によって、物理的な機械が動く可能性があります。 必ず安全を確かめ、テストコード内の操作を理解した上で実行して下さい。 ''' import os import sys import unittest from j3 import J3 class TestJ3(unittest.TestCase): @classmethod def setUpClass(cls): '''テストクラスが初期化される際に一度だけ呼ばれる。''' print('----- TestJ3 start ------') cls.j3 = J3.get_connection('192.168.48.*:8193') @classmethod def tearDownClass(cls): '''テストクラスが解放される際に一度だけ呼ばれる。''' cls.j3.close() print('----- TestJ3 end ------') def setUp(self): '''テストごとに開始前に必ず実行''' if not self.j3.is_open(): self.skipTest('指定されたIPに接続できません。電源が入っていない可能性があります。') def test_d_dev_operation(self): '''Dデバイスの読み書きテスト。''' # first. 初期化しておく self.j3.write_dev('D11600', 0) self.j3.write_dev('D11601', 0) self.j3.write_dev('D11602', 0) self.j3.write_dev('D11603', 0) self.j3.write_dev('D11604', 0) self.assertEqual(self.j3.read_dev('D11600'), 0) self.assertEqual(self.j3.read_dev('D11601'), 0) self.assertEqual(self.j3.read_dev('D11602'), 0) self.assertEqual(self.j3.read_dev('D11603'), 0) self.assertEqual(self.j3.read_dev('D11604'), 0) # 1. D11600に1byteサイズで値を書き込み、D11601以降に影響がないかテスト self.j3.write_dev('D11600', 1) self.assertEqual(self.j3.read_dev('D11600'), 1) self.assertEqual(self.j3.read_dev('D11601'), 0) self.j3.write_dev('D11600', 255) self.assertEqual(self.j3.read_dev('D11600'), 255) self.assertEqual(self.j3.read_dev('D11601'), 0) # 2. D11600に1byteサイズより大きい値を書き込み、例外が出るかテスト with self.assertRaises(TypeError): self.j3.write_dev('D11600', 256) # 3. D11600に2byteサイズで値を書き込み、D11602以降に影響がないかテスト self.j3.write_dev('D11600', 256, size=2) self.assertEqual(self.j3.read_dev('D11600', size=2), 256) self.assertEqual(self.j3.read_dev('D11600'), 0) self.assertEqual(self.j3.read_dev('D11601'), 1) self.assertEqual(self.j3.read_dev('D11602'), 0) self.assertEqual(self.j3.read_dev('D11603'), 0) self.j3.write_dev('D11600', 1000, size=2) self.assertEqual(self.j3.read_dev('D11600', size=2), 1000) self.assertEqual(self.j3.read_dev('D11600'), 232) self.assertEqual(self.j3.read_dev('D11601'), 3) self.assertEqual(self.j3.read_dev('D11602'), 0) self.assertEqual(self.j3.read_dev('D11603'), 0) self.j3.write_dev('D11600', -10, size=2) self.assertEqual(self.j3.read_dev('D11600', size=2), -10) self.assertEqual(self.j3.read_dev('D11600'), 246) self.assertEqual(self.j3.read_dev('D11601'), 255) self.assertEqual(self.j3.read_dev('D11602'), 0) self.assertEqual(self.j3.read_dev('D11603'), 0) # 4. D11600に2byteサイズより大きい値を書き込み、例外が出るかテスト with self.assertRaises(TypeError): self.j3.write_dev('D11600', 65537) # 5. D11600に4byteサイズで値を書き込み、D11602以降に影響がないかテスト self.j3.write_dev('D11600', 65537, size=4) self.assertEqual(self.j3.read_dev('D11600', size=4), 65537) self.assertEqual(self.j3.read_dev('D11600'), 1) self.assertEqual(self.j3.read_dev('D11601'), 0) self.assertEqual(self.j3.read_dev('D11602'), 1) self.assertEqual(self.j3.read_dev('D11603'), 0) self.assertEqual(self.j3.read_dev('D11604'), 0) self.j3.write_dev('D11600', 16777472, size=4) self.assertEqual(self.j3.read_dev('D11600', size=4), 16777472) self.assertEqual(self.j3.read_dev('D11600'), 0) self.assertEqual(self.j3.read_dev('D11601'), 1) self.assertEqual(self.j3.read_dev('D11602'), 0) self.assertEqual(self.j3.read_dev('D11603'), 1) self.assertEqual(self.j3.read_dev('D11604'), 0) self.j3.write_dev('D11600', -10000, size=4) self.assertEqual(self.j3.read_dev('D11600', size=4), -10000) self.assertEqual(self.j3.read_dev('D11600'), 240) self.assertEqual(self.j3.read_dev('D11601'), 216) self.assertEqual(self.j3.read_dev('D11602'), 255) self.assertEqual(self.j3.read_dev('D11603'), 255) self.assertEqual(self.j3.read_dev('D11604'), 0) # 6. D11600に4byteサイズより大きい値を書き込み、例外が出るかテスト with self.assertRaises(TypeError): self.j3.write_dev('D11600', 4294967297) # lastly. 最後も初期化しておく self.j3.write_dev('D11600', 0) self.j3.write_dev('D11601', 0) self.j3.write_dev('D11602', 0) self.j3.write_dev('D11603', 0) self.j3.write_dev('D11604', 0) def test_r_dev_operation(self): '''Rデバイスの読み書きテスト。''' # first. 初期化しておく self.j3.write_dev('R6653', 0) self.assertEqual(self.j3.read_dev('R6653.0'), 0) self.assertEqual(self.j3.read_dev('R6653.1'), 0) self.assertEqual(self.j3.read_dev('R6653.2'), 0) self.assertEqual(self.j3.read_dev('R6653.3'), 0) self.assertEqual(self.j3.read_dev('R6653.4'), 0) self.assertEqual(self.j3.read_dev('R6653.5'), 0) self.assertEqual(self.j3.read_dev('R6653.6'), 0) self.assertEqual(self.j3.read_dev('R6653.7'), 0) self.assertEqual(self.j3.read_dev('R6653'), 0) # 1. R6653にオフセットで1bitを書き込み、他のオフセットに影響がないかテスト self.j3.write_dev('R6653.0',1) self.j3.write_dev('R6653.1',0) self.j3.write_dev('R6653.2',1) self.j3.write_dev('R6653.3',0) self.j3.write_dev('R6653.4',1) self.j3.write_dev('R6653.5',0) self.j3.write_dev('R6653.6',1) self.j3.write_dev('R6653.7',0) self.assertEqual(self.j3.read_dev('R6653.0'), 1) self.assertEqual(self.j3.read_dev('R6653.1'), 0) self.assertEqual(self.j3.read_dev('R6653.2'), 1) self.assertEqual(self.j3.read_dev('R6653.3'), 0) self.assertEqual(self.j3.read_dev('R6653.4'), 1) self.assertEqual(self.j3.read_dev('R6653.5'), 0) self.assertEqual(self.j3.read_dev('R6653.6'), 1) self.assertEqual(self.j3.read_dev('R6653.7'), 0) self.assertEqual(self.j3.read_dev('R6653'), 85) self.j3.write_dev('R6653.0',0) self.j3.write_dev('R6653.1',1) self.j3.write_dev('R6653.2',0) self.j3.write_dev('R6653.3',1) self.j3.write_dev('R6653.4',0) self.j3.write_dev('R6653.5',1) self.j3.write_dev('R6653.6',0) self.j3.write_dev('R6653.7',1) self.assertEqual(self.j3.read_dev('R6653.0'), 0) self.assertEqual(self.j3.read_dev('R6653.1'), 1) self.assertEqual(self.j3.read_dev('R6653.2'), 0) self.assertEqual(self.j3.read_dev('R6653.3'), 1) self.assertEqual(self.j3.read_dev('R6653.4'), 0) self.assertEqual(self.j3.read_dev('R6653.5'), 1) self.assertEqual(self.j3.read_dev('R6653.6'), 0) self.assertEqual(self.j3.read_dev('R6653.7'), 1) self.assertEqual(self.j3.read_dev('R6653'), 170) self.j3.write_dev('R6653.0',1) self.j3.write_dev('R6653.1',1) self.j3.write_dev('R6653.2',1) self.j3.write_dev('R6653.3',1) self.j3.write_dev('R6653.4',1) self.j3.write_dev('R6653.5',1) self.j3.write_dev('R6653.6',1) self.j3.write_dev('R6653.7',1) self.assertEqual(self.j3.read_dev('R6653.0'), 1) self.assertEqual(self.j3.read_dev('R6653.1'), 1) self.assertEqual(self.j3.read_dev('R6653.2'), 1) self.assertEqual(self.j3.read_dev('R6653.3'), 1) self.assertEqual(self.j3.read_dev('R6653.4'), 1) self.assertEqual(self.j3.read_dev('R6653.5'), 1) self.assertEqual(self.j3.read_dev('R6653.6'), 1) self.assertEqual(self.j3.read_dev('R6653.7'), 1) self.assertEqual(self.j3.read_dev('R6653'), 255) # 2. R6653に値を書き込み、オフセットと一致するかテスト self.j3.write_dev('R6653',240) self.assertEqual(self.j3.read_dev('R6653.0'), 0) self.assertEqual(self.j3.read_dev('R6653.1'), 0) self.assertEqual(self.j3.read_dev('R6653.2'), 0) self.assertEqual(self.j3.read_dev('R6653.3'), 0) self.assertEqual(self.j3.read_dev('R6653.4'), 1) self.assertEqual(self.j3.read_dev('R6653.5'), 1) self.assertEqual(self.j3.read_dev('R6653.6'), 1) self.assertEqual(self.j3.read_dev('R6653.7'), 1) self.assertEqual(self.j3.read_dev('R6653'), 240) # lastly. 最後も初期化しておく self.j3.write_dev('R6653', 0) def test_file_operation(self): '''加工ファイル操作テスト。''' # 1. ファイルの書き込み、存在確認、読み込み、削除を行う self.skipTest('不揮発性メモリのため、書き込みに回数制限があり、必要な時以外'\ '(write_file, read_file, exist_file, delete_fileの変更時)はskip。') data = b'O8990\nG4 X10.\nM30\n%' self.j3.write_file('//CNC_MEM/USER/LIBRARY/O8990', data) self.assertEqual(self.j3.exist_file('//CNC_MEM/USER/LIBRARY/O8990'), True) self.assertEqual(self.j3.read_file('//CNC_MEM/USER/LIBRARY/O8990'), b'O8990\nG4X10. \nM30') self.j3.delete_file('//CNC_MEM/USER/LIBRARY/O8990') def test_dir_operation(self): '''ディレクトリ操作テスト。''' dir_list = self.j3.find_dir('//CNC_MEM/') self.assertIsInstance(dir_list, list) for info_map in dir_list: self.assertIsInstance(info_map, dict) self.assertTrue('type' in info_map) self.assertTrue('name' in info_map) self.assertTrue('size' in info_map) self.assertTrue('comment' in info_map) if __name__ == '__main__': unittest.main()
44.293023
99
0.625013
1,335
9,523
4.326592
0.110861
0.146468
0.292763
0.32358
0.782029
0.760561
0.705506
0.654259
0.646988
0.631752
0
0.153623
0.204347
9,523
214
100
44.5
0.60842
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0.0225
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false
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0
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0
0
0
0
6
912fd4dde1051fd2ce2da51763ae0b7a9193eefc
120
py
Python
mergeit/core/config/__init__.py
insolite/mergeit
27ca0eacab9b1d2fe6bafe5a43184a80e6169cb5
[ "MIT" ]
2
2016-07-04T13:32:30.000Z
2016-07-16T02:51:54.000Z
mergeit/core/config/__init__.py
insolite/mergeit
27ca0eacab9b1d2fe6bafe5a43184a80e6169cb5
[ "MIT" ]
1
2016-08-06T12:47:28.000Z
2016-08-06T12:47:28.000Z
mergeit/core/config/__init__.py
insolite/mergeit
27ca0eacab9b1d2fe6bafe5a43184a80e6169cb5
[ "MIT" ]
null
null
null
from .config import Config from .config_source import ConfigSource from .yaml_config_source import YamlFileConfigSource
30
52
0.875
15
120
6.8
0.466667
0.196078
0.352941
0
0
0
0
0
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0
0.1
120
3
53
40
0.944444
0
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true
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0
1
0
1
0
1
0
0
6
e68617370c7bc144cde4cc5b1b859aee4c6a339a
115
py
Python
coptic/coptic/settings/__init__.py
CopticScriptorium/cts
7b53da7e6610a0ee4913b94b25af0cf15921af88
[ "Apache-2.0" ]
1
2015-03-19T00:45:57.000Z
2015-03-19T00:45:57.000Z
coptic/coptic/settings/__init__.py
CopticScriptorium/cts
7b53da7e6610a0ee4913b94b25af0cf15921af88
[ "Apache-2.0" ]
121
2015-01-06T18:32:06.000Z
2022-02-10T11:55:20.000Z
coptic/coptic/settings/__init__.py
CopticScriptorium/cts
7b53da7e6610a0ee4913b94b25af0cf15921af88
[ "Apache-2.0" ]
4
2015-06-24T04:26:30.000Z
2019-09-21T03:03:55.000Z
from .base import * from .secrets import * # uncomment only one of these from .dev import * # from .prod import *
16.428571
29
0.704348
17
115
4.764706
0.647059
0.246914
0
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0.208696
115
6
30
19.166667
0.89011
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6
e6974c48761029f4c649afd622b9caef9948f099
23
py
Python
app/__init__.py
AndrewLester/freedomap
8cb2142f8a46d800fad25fb22e01f5b5a164ce96
[ "MIT" ]
6
2021-02-17T03:23:18.000Z
2021-04-09T14:35:42.000Z
app/__init__.py
AndrewLester/freedomap
8cb2142f8a46d800fad25fb22e01f5b5a164ce96
[ "MIT" ]
6
2021-03-10T04:04:40.000Z
2021-12-17T08:13:45.000Z
app/__init__.py
AndrewLester/freedomap
8cb2142f8a46d800fad25fb22e01f5b5a164ce96
[ "MIT" ]
null
null
null
from app.exts import *
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e6a54815fa8763bcba84cf53bc9cd13e980c3afd
166
py
Python
tests/test_007.py
chingc/euler-python
e963752969cfa7a939ef6a8408f5628ce3c96cae
[ "MIT" ]
null
null
null
tests/test_007.py
chingc/euler-python
e963752969cfa7a939ef6a8408f5628ce3c96cae
[ "MIT" ]
null
null
null
tests/test_007.py
chingc/euler-python
e963752969cfa7a939ef6a8408f5628ce3c96cae
[ "MIT" ]
null
null
null
"""https://projecteuler.net/problem=7""" from euler.main import nth_prime def test_007() -> None: """Expected: 104743""" assert nth_prime(10001) == 104743
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6
e6ccc01e5d94f74d784d057a264d2c901bed9994
82
py
Python
sssorm/__init__.py
troxellophilus/sssorm
07192c16f2cb0f5ed254f3864e414abcd80025d8
[ "MIT" ]
null
null
null
sssorm/__init__.py
troxellophilus/sssorm
07192c16f2cb0f5ed254f3864e414abcd80025d8
[ "MIT" ]
null
null
null
sssorm/__init__.py
troxellophilus/sssorm
07192c16f2cb0f5ed254f3864e414abcd80025d8
[ "MIT" ]
null
null
null
from sssorm.helper import cursor from sssorm.model import Model, connect_database
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6
fc118bbcbf17acad69da9834d6db9d0a7711e86b
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py
Python
src/plotioda/io/__init__.py
CoryMartin-NOAA/plotioda
e1c13e2dbcc393d9dd35687d3f7a18320b51c319
[ "Apache-2.0" ]
null
null
null
src/plotioda/io/__init__.py
CoryMartin-NOAA/plotioda
e1c13e2dbcc393d9dd35687d3f7a18320b51c319
[ "Apache-2.0" ]
5
2021-11-19T21:20:30.000Z
2021-12-08T17:43:52.000Z
src/plotioda/io/__init__.py
CoryMartin-NOAA/plotioda
e1c13e2dbcc393d9dd35687d3f7a18320b51c319
[ "Apache-2.0" ]
null
null
null
from .iodaio import *
11
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5.333333
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6
fc1e2a67fa9c99daf9e61651418e9b96ef1bcd7e
52
py
Python
andromeda/modules/loans/serializers/__init__.py
sango09/andromeda_api_rest
b4a3267146f4f9a985fb3f512e652d4ff354bba2
[ "MIT" ]
1
2021-09-08T18:58:16.000Z
2021-09-08T18:58:16.000Z
andromeda/modules/loans/serializers/__init__.py
sango09/andromeda_api_rest
b4a3267146f4f9a985fb3f512e652d4ff354bba2
[ "MIT" ]
null
null
null
andromeda/modules/loans/serializers/__init__.py
sango09/andromeda_api_rest
b4a3267146f4f9a985fb3f512e652d4ff354bba2
[ "MIT" ]
null
null
null
from .loans import * from .inventory_loans import *
17.333333
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0.769231
7
52
5.571429
0.571429
0.564103
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6
fc2ae1fc4aac003817870db4be601e5b2c99dcae
136
py
Python
API/models/__init__.py
garima-mahato/EVA4
e8efe40a4de2d5da3a04314f52a02610ecde16f1
[ "MIT" ]
null
null
null
API/models/__init__.py
garima-mahato/EVA4
e8efe40a4de2d5da3a04314f52a02610ecde16f1
[ "MIT" ]
null
null
null
API/models/__init__.py
garima-mahato/EVA4
e8efe40a4de2d5da3a04314f52a02610ecde16f1
[ "MIT" ]
1
2020-05-02T17:15:22.000Z
2020-05-02T17:15:22.000Z
from .my_custom_model import * from .resnet import * from .QuizDNN import * from .CustomResNet import * from .CustomResidualNet import *
27.2
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6
fc69fd0a9ad443c48f9a496d4fe122891e04c770
506
py
Python
RecoMuon/CosmicMuonProducer/python/globalCosmicMuons_cff.py
samarendran23/cmssw
849dd9897db9b894ca83e1b630a3c1eecafd6097
[ "Apache-2.0" ]
6
2017-09-08T14:12:56.000Z
2022-03-09T23:57:01.000Z
RecoMuon/CosmicMuonProducer/python/globalCosmicMuons_cff.py
samarendran23/cmssw
849dd9897db9b894ca83e1b630a3c1eecafd6097
[ "Apache-2.0" ]
545
2017-09-19T17:10:19.000Z
2022-03-07T16:55:27.000Z
RecoMuon/CosmicMuonProducer/python/globalCosmicMuons_cff.py
p2l1pfp/cmssw
9bda22bf33ecf18dd19a3af2b3a8cbdb1de556a9
[ "Apache-2.0" ]
14
2017-10-04T09:47:21.000Z
2019-10-23T18:04:45.000Z
import FWCore.ParameterSet.Config as cms from RecoMuon.TransientTrackingRecHit.MuonTransientTrackingRecHitBuilder_cfi import * from RecoTracker.TransientTrackingRecHit.TransientTrackingRecHitBuilder_cfi import * from RecoLocalTracker.SiStripRecHitConverter.StripCPEfromTrackAngle_cfi import * from RecoLocalTracker.SiPixelRecHits.PixelCPEParmError_cfi import * from RecoLocalTracker.SiStripRecHitConverter.SiStripRecHitMatcher_cfi import * from RecoMuon.CosmicMuonProducer.globalCosmicMuons_cfi import *
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6
fc90dbc440aea4f45579d656a127cd657d2628be
14,737
py
Python
tests/func/test_monitoring.py
madtibo/temboard-agent
c63b82e243c9155e1878ba94e747b51761d62138
[ "PostgreSQL" ]
null
null
null
tests/func/test_monitoring.py
madtibo/temboard-agent
c63b82e243c9155e1878ba94e747b51761d62138
[ "PostgreSQL" ]
null
null
null
tests/func/test_monitoring.py
madtibo/temboard-agent
c63b82e243c9155e1878ba94e747b51761d62138
[ "PostgreSQL" ]
null
null
null
import json import os import sys from urllib2 import HTTPError from test.temboard import temboard_request from conftest import ENV # Import spc tbda_dir = os.path.realpath(os.path.join(__file__, '..', '..')) if tbda_dir not in sys.path: sys.path.insert(0, tbda_dir) from temboardagent.spc import connector, error # noqa XSESSION = '' class TestMonitoring: def _temboard_login(self): (status, res) = temboard_request( ENV['agent']['ssl_cert_file'], method='POST', url='https://%s:%s/login' % ( ENV['agent']['host'], ENV['agent']['port'] ), headers={"Content-type": "application/json"}, data={ 'username': ENV['agent']['user'], 'password': ENV['agent']['password'] } ) return json.loads(res)['session'] def test_00_env_pg(self): """ [administration] 00: PostgreSQL instance is up & running """ conn = connector( host=ENV['pg']['socket_dir'], port=ENV['pg']['port'], user=ENV['pg']['user'], password=ENV['pg']['password'], database='postgres' ) try: conn.connect() conn.close() global XSESSION XSESSION = self._temboard_login() assert True except error: assert False def test_01_monitoring_session(self): """ [monitoring] 01: GET /monitoring/probe/sessions : Check HTTP code returned is 200 """ # noqa status = 0 try: (status, res) = temboard_request( ENV['agent']['ssl_cert_file'], method='GET', url='https://%s:%s/monitoring/probe/sessions' % ( ENV['agent']['host'], ENV['agent']['port'] ), headers={ "Content-type": "application/json", "X-Session": XSESSION } ) except HTTPError as e: status = e.code assert status == 200 def test_02_monitoring_xacts(self): """ [monitoring] 02: GET /monitoring/probe/xacts : Check HTTP code returned is 200 """ # noqa status = 0 try: (status, res) = temboard_request( ENV['agent']['ssl_cert_file'], method='GET', url='https://%s:%s/monitoring/probe/xacts' % ( ENV['agent']['host'], ENV['agent']['port'] ), headers={ "Content-type": "application/json", "X-Session": XSESSION } ) except HTTPError as e: status = e.code assert status == 200 def test_03_monitoring_locks(self): """ [monitoring] 03: GET /monitoring/probe/locks : Check HTTP code returned is 200 """ # noqa status = 0 try: (status, res) = temboard_request( ENV['agent']['ssl_cert_file'], method='GET', url='https://%s:%s/monitoring/probe/locks' % ( ENV['agent']['host'], ENV['agent']['port'] ), headers={ "Content-type": "application/json", "X-Session": XSESSION } ) except HTTPError as e: status = e.code assert status == 200 def test_04_monitoring_blocks(self): """ [monitoring] 04: GET /monitoring/probe/blocks : Check HTTP code returned is 200 """ # noqa status = 0 try: (status, res) = temboard_request( ENV['agent']['ssl_cert_file'], method='GET', url='https://%s:%s/monitoring/probe/blocks' % ( ENV['agent']['host'], ENV['agent']['port'] ), headers={ "Content-type": "application/json", "X-Session": XSESSION } ) except HTTPError as e: status = e.code assert status == 200 def test_05_monitoring_bgwriter(self): """ [monitoring] 05: GET /monitoring/probe/bgwriter : Check HTTP code returned is 200 """ # noqa status = 0 try: (status, res) = temboard_request( ENV['agent']['ssl_cert_file'], method='GET', url='https://%s:%s/monitoring/probe/bgwriter' % ( ENV['agent']['host'], ENV['agent']['port'] ), headers={ "Content-type": "application/json", "X-Session": XSESSION } ) except HTTPError as e: status = e.code assert status == 200 def test_06_monitoring_db_size(self): """ [monitoring] 06: GET /monitoring/probe/db_size : Check HTTP code returned is 200 """ # noqa status = 0 try: (status, res) = temboard_request( ENV['agent']['ssl_cert_file'], method='GET', url='https://%s:%s/monitoring/probe/db_size' % ( ENV['agent']['host'], ENV['agent']['port'] ), headers={ "Content-type": "application/json", "X-Session": XSESSION } ) except HTTPError as e: status = e.code assert status == 200 def test_07_monitoring_tblspc_size(self): """ [monitoring] 07: GET /monitoring/probe/tblspc_size : Check HTTP code returned is 200 """ # noqa status = 0 try: (status, res) = temboard_request( ENV['agent']['ssl_cert_file'], method='GET', url='https://%s:%s/monitoring/probe/tblspc_size' % ( ENV['agent']['host'], ENV['agent']['port'] ), headers={ "Content-type": "application/json", "X-Session": XSESSION } ) except HTTPError as e: status = e.code assert status == 200 def test_08_monitoring_filesystems_size(self): """ [monitoring] 08: GET /monitoring/probe/filesystems_size : Check HTTP code returned is 200 """ # noqa status = 0 try: (status, res) = temboard_request( ENV['agent']['ssl_cert_file'], method='GET', url='https://%s:%s/monitoring/probe/filesystems_size' % ( ENV['agent']['host'], ENV['agent']['port'] ), headers={ "Content-type": "application/json", "X-Session": XSESSION } ) except HTTPError as e: status = e.code assert status == 200 def test_09_monitoring_cpu(self): """ [monitoring] 09: GET /monitoring/probe/cpu : Check HTTP code returned is 200 """ # noqa status = 0 try: (status, res) = temboard_request( ENV['agent']['ssl_cert_file'], method='GET', url='https://%s:%s/monitoring/probe/cpu' % ( ENV['agent']['host'], ENV['agent']['port'] ), headers={ "Content-type": "application/json", "X-Session": XSESSION } ) except HTTPError as e: status = e.code assert status == 200 def test_10_monitoring_process(self): """ [monitoring] 10: GET /monitoring/probe/process : Check HTTP code returned is 200 """ # noqa status = 0 try: (status, res) = temboard_request( ENV['agent']['ssl_cert_file'], method='GET', url='https://%s:%s/monitoring/probe/process' % ( ENV['agent']['host'], ENV['agent']['port'] ), headers={ "Content-type": "application/json", "X-Session": XSESSION } ) except HTTPError as e: status = e.code assert status == 200 def test_11_monitoring_memory(self): """ [monitoring] 11: GET /monitoring/probe/memory : Check HTTP code returned is 200 """ # noqa status = 0 try: (status, res) = temboard_request( ENV['agent']['ssl_cert_file'], method='GET', url='https://%s:%s/monitoring/probe/memory' % ( ENV['agent']['host'], ENV['agent']['port'] ), headers={ "Content-type": "application/json", "X-Session": XSESSION } ) except HTTPError as e: status = e.code assert status == 200 def test_12_monitoring_loadavg(self): """ [monitoring] 12: GET /monitoring/probe/loadavg : Check HTTP code returned is 200 """ # noqa status = 0 try: (status, res) = temboard_request( ENV['agent']['ssl_cert_file'], method='GET', url='https://%s:%s/monitoring/probe/loadavg' % ( ENV['agent']['host'], ENV['agent']['port'] ), headers={ "Content-type": "application/json", "X-Session": XSESSION } ) except HTTPError as e: status = e.code assert status == 200 def test_13_monitoring_wal_files(self): """ [monitoring] 13: GET /monitoring/probe/wal_files : Check HTTP code returned is 200 """ # noqa status = 0 try: (status, res) = temboard_request( ENV['agent']['ssl_cert_file'], method='GET', url='https://%s:%s/monitoring/probe/wal_files' % ( ENV['agent']['host'], ENV['agent']['port'] ), headers={ "Content-type": "application/json", "X-Session": XSESSION } ) except HTTPError as e: status = e.code assert status == 200 def test_14_monitoring_replication_lag(self): """ [monitoring] 14: GET /monitoring/probe/replication_lag : Check HTTP code returned is 200 """ # noqa status = 0 try: (status, res) = temboard_request( ENV['agent']['ssl_cert_file'], method='GET', url='https://%s:%s/monitoring/probe/replication_lag' % ( ENV['agent']['host'], ENV['agent']['port'] ), headers={ "Content-type": "application/json", "X-Session": XSESSION } ) except HTTPError as e: status = e.code assert status == 200 def test_15_monitoring_temp_files_size_delta(self): """ [monitoring] 15: GET /monitoring/probe/temp_files_size_delta : Check HTTP code returned is 200 """ # noqa status = 0 try: (status, res) = temboard_request( ENV['agent']['ssl_cert_file'], method='GET', url='https://%s:%s/monitoring/probe/temp_files_size_delta' % ( ENV['agent']['host'], ENV['agent']['port'] ), headers={ "Content-type": "application/json", "X-Session": XSESSION } ) except HTTPError as e: status = e.code assert status == 200 def test_16_monitoring_replication_connection(self): """ [monitoring] 16: GET /monitoring/probe/replication_connection : Check HTTP code returned is 200 """ # noqa status = 0 try: (status, res) = temboard_request( ENV['agent']['ssl_cert_file'], method='GET', url='https://%s:%s/monitoring/probe/replication_connection' % ( ENV['agent']['host'], ENV['agent']['port'] ), headers={ "Content-type": "application/json", "X-Session": XSESSION } ) except HTTPError as e: status = e.code assert status == 200 def test_17_monitoring_heap_bloat(self): """ [monitoring] 17: GET /monitoring/probe/heap_bloat : Check HTTP code returned is 200 """ # noqa status = 0 try: (status, res) = temboard_request( ENV['agent']['ssl_cert_file'], method='GET', url='https://%s:%s/monitoring/probe/heap_bloat' % ( ENV['agent']['host'], ENV['agent']['port'] ), headers={ "Content-type": "application/json", "X-Session": XSESSION } ) except HTTPError as e: status = e.code assert status == 200 def test_18_monitoring_btree_bloat(self): """ [monitoring] 18: GET /monitoring/probe/btree_bloat : Check HTTP code returned is 200 """ # noqa status = 0 try: (status, res) = temboard_request( ENV['agent']['ssl_cert_file'], method='GET', url='https://%s:%s/monitoring/probe/btree_bloat' % ( ENV['agent']['host'], ENV['agent']['port'] ), headers={ "Content-type": "application/json", "X-Session": XSESSION } ) except HTTPError as e: status = e.code assert status == 200
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0.703594
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0
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6
fc99d82e2976159b0941ee645f72eeee37f261c9
20,634
py
Python
generated-libraries/python/netapp/name_mapping/__init__.py
radekg/netapp-ontap-lib-get
6445ebb071ec147ea82a486fbe9f094c56c5c40d
[ "MIT" ]
2
2017-03-28T15:31:26.000Z
2018-08-16T22:15:18.000Z
generated-libraries/python/netapp/name_mapping/__init__.py
radekg/netapp-ontap-lib-get
6445ebb071ec147ea82a486fbe9f094c56c5c40d
[ "MIT" ]
null
null
null
generated-libraries/python/netapp/name_mapping/__init__.py
radekg/netapp-ontap-lib-get
6445ebb071ec147ea82a486fbe9f094c56c5c40d
[ "MIT" ]
null
null
null
from netapp.connection import NaConnection from unix_user_info import UnixUserInfo # 5 properties from name_mapping_direction import NameMappingDirection # 0 properties from name_mapping_info import NameMappingInfo # 5 properties from unix_group_info import UnixGroupInfo # 4 properties from name_mapping_unix_user_get_iter_key_td import NameMappingUnixUserGetIterKeyTd # 2 properties from name_mapping_unix_group_get_iter_key_td import NameMappingUnixGroupGetIterKeyTd # 2 properties from unix_user_name import UnixUserName # 1 properties from name_mapping_get_iter_key_td import NameMappingGetIterKeyTd # 3 properties class NameMappingConnection(NaConnection): def name_mapping_delete(self, position, direction): """ Delete an existing name mapping entry. :param position: Position of an existing name mapping in the list of name mappings for this Vserver. :param direction: Direction in which the name mapping is applied. Possible values: <ul> <li> "krb_unix" - Kerberos principal name to UNIX user name mapping, <li> "win_unix" - Windows user name to UNIX user name mapping, <li> "unix_win" - UNIX user name to Windows user name mapping </ul> """ return self.request( "name-mapping-delete", { 'position': [ position, 'position', [ int, 'None' ], False ], 'direction': [ direction, 'direction', [ basestring, 'name-mapping-direction' ], False ], }, { } ) def name_mapping_unix_group_modify(self, group_name, group_id=None): """ Modify the attributes of a UNIX group. :param group_name: Specifies UNIX group name. :param group_id: Specifies an identification number for the UNIX group. """ return self.request( "name-mapping-unix-group-modify", { 'group_name': [ group_name, 'group-name', [ basestring, 'None' ], False ], 'group_id': [ group_id, 'group-id', [ int, 'None' ], False ], }, { } ) def name_mapping_insert(self, position, direction, replacement, pattern): """ Insert a name mapping into the table at a specified position. :param position: Position within the set of name mappings that this new mapping will take. If a mapping already exists at this position, it will be moved to the next position in the list. :param direction: Direction of the name mapping to be inserted. Possible values: <ul> <li> "krb_unix" - Kerberos principal name to UNIX user name mapping, <li> "win_unix" - Windows user name to UNIX user name mapping, <li> "unix_win" - UNIX user name to Windows user name mapping </ul> :param replacement: The name that is to be used as a replacement if the pattern associated with this entry matches. The replacement may be a string containing escape sequences representing subexpressions from the pattern, as in the UNIX 'sed' program. :param pattern: Pattern to use to match the name while searching for a name that can be used as a replacement. The pattern is a UNIX-style regular expression. Regular expressions are case-insensitive when mapping from Windows to UNIX, and they are case-sensitive for mappings from Kerberos to UNIX and UNIX to Windows. """ return self.request( "name-mapping-insert", { 'position': [ position, 'position', [ int, 'None' ], False ], 'direction': [ direction, 'direction', [ basestring, 'name-mapping-direction' ], False ], 'replacement': [ replacement, 'replacement', [ basestring, 'None' ], False ], 'pattern': [ pattern, 'pattern', [ basestring, 'None' ], False ], }, { } ) def name_mapping_unix_user_destroy(self, user_name): """ Destroy an existing UNIX user. :param user_name: Specifies user's UNIX account name. """ return self.request( "name-mapping-unix-user-destroy", { 'user_name': [ user_name, 'user-name', [ basestring, 'None' ], False ], }, { } ) def name_mapping_unix_group_get(self, group_name, desired_attributes=None): """ Get the attributes of a UNIX group. :param group_name: Specifies UNIX group name. :param desired_attributes: Specify the attributes that should be returned. If not present, all attributes for which information is available will be returned. If present, only the desired attributes for which information is available will be returned. """ return self.request( "name-mapping-unix-group-get", { 'group_name': [ group_name, 'group-name', [ basestring, 'None' ], False ], 'desired_attributes': [ desired_attributes, 'desired-attributes', [ UnixGroupInfo, 'None' ], False ], }, { 'attributes': [ UnixGroupInfo, False ], } ) def name_mapping_unix_group_get_iter(self, max_records=None, query=None, tag=None, desired_attributes=None): """ Iterate over a list of UNIX groups. :param max_records: The maximum number of records to return in this call. Default: 20 :param query: A query that specifies which objects to return. A query could be specified on any number of attributes in the UNIX group information object. All UNIX group information objects matching this query up to 'max-records' will be returned. :param tag: Specify the tag from the last call. It is usually not specified for the first call. For subsequent calls, copy values from the 'next-tag' obtained from the previous call. :param desired_attributes: Specify the attributes that should be returned. If not present, all attributes for which information is available will be returned. If present, only the desired attributes for which information is available will be returned. """ return self.request( "name-mapping-unix-group-get-iter", { 'max_records': max_records, 'query': [ query, 'query', [ UnixGroupInfo, 'None' ], False ], 'tag': tag, 'desired_attributes': [ desired_attributes, 'desired-attributes', [ UnixGroupInfo, 'None' ], False ], }, { 'attributes-list': [ UnixGroupInfo, True ], } ) def name_mapping_modify(self, position, direction, replacement=None, pattern=None): """ Modify an existing name mapping entry. :param position: Position of an existing name mapping in the list of name mappings for this Vserver. :param direction: Direction in which the name mapping is applied. Possible values: <ul> <li> "krb_unix" - Kerberos principal name to UNIX user name mapping, <li> "win_unix" - Windows user name to UNIX user name mapping, <li> "unix_win" - UNIX user name to Windows user name mapping </ul> :param replacement: The name that is to be used as a replacement if the pattern associated with this entry matches. The replacement is a string containing escape sequences representing subexpressions from the pattern, as in the UNIX 'sed' program. :param pattern: Pattern to use to match the name while searching for a name that can be used as a replacement. The pattern is a UNIX-style regular expression. Regular expressions are case-insensitive when mapping from Windows to UNIX, and they are case-sensitive for mappings from Kerberos to UNIX and UNIX to Windows. """ return self.request( "name-mapping-modify", { 'position': [ position, 'position', [ int, 'None' ], False ], 'direction': [ direction, 'direction', [ basestring, 'name-mapping-direction' ], False ], 'replacement': [ replacement, 'replacement', [ basestring, 'None' ], False ], 'pattern': [ pattern, 'pattern', [ basestring, 'None' ], False ], }, { } ) def name_mapping_get_iter(self, max_records=None, query=None, tag=None, desired_attributes=None): """ Retrieve the list of name mappings in the cluster. :param max_records: The maximum number of records to return in this call. Default: 20 :param query: A query that specifies which objects to return. A query could be specified on any number of attributes in the name-mapping object. All name-mapping objects matching this query up to 'max-records' will be returned. :param tag: Specify the tag from the last call. It is usually not specified for the first call. For subsequent calls, copy values from the 'next-tag' obtained from the previous call. :param desired_attributes: Specify the attributes that should be returned. If not present, all attributes for which information is available will be returned. If present, only the desired attributes for which information is available will be returned. """ return self.request( "name-mapping-get-iter", { 'max_records': max_records, 'query': [ query, 'query', [ NameMappingInfo, 'None' ], False ], 'tag': tag, 'desired_attributes': [ desired_attributes, 'desired-attributes', [ NameMappingInfo, 'None' ], False ], }, { 'attributes-list': [ NameMappingInfo, True ], } ) def name_mapping_unix_user_modify(self, user_name, full_name=None, user_id=None, group_id=None): """ Modify the attributes of a UNIX user. :param user_name: Specifies user's UNIX account name. :param full_name: Specifies the full name of the UNIX user. :param user_id: Specifies an identification number for the UNIX user. :param group_id: Specifies the primary group identification number for the UNIX user. """ return self.request( "name-mapping-unix-user-modify", { 'full_name': [ full_name, 'full-name', [ basestring, 'None' ], False ], 'user_name': [ user_name, 'user-name', [ basestring, 'None' ], False ], 'user_id': [ user_id, 'user-id', [ int, 'None' ], False ], 'group_id': [ group_id, 'group-id', [ int, 'None' ], False ], }, { } ) def name_mapping_unix_user_get(self, user_name, desired_attributes=None): """ Get the attributes of a UNIX user. :param user_name: Specifies user's UNIX account name. :param desired_attributes: Specify the attributes that should be returned. If not present, all attributes for which information is available will be returned. If present, only the desired attributes for which information is available will be returned. """ return self.request( "name-mapping-unix-user-get", { 'user_name': [ user_name, 'user-name', [ basestring, 'None' ], False ], 'desired_attributes': [ desired_attributes, 'desired-attributes', [ UnixUserInfo, 'None' ], False ], }, { 'attributes': [ UnixUserInfo, False ], } ) def name_mapping_unix_group_create(self, group_name, group_id, return_record=None): """ Create a new UNIX group. :param group_name: Specifies UNIX group name. :param group_id: Specifies an identification number for the UNIX group. :param return_record: If set to true, returns the UNIX group information on successful creation. Default: false """ return self.request( "name-mapping-unix-group-create", { 'group_name': [ group_name, 'group-name', [ basestring, 'None' ], False ], 'group_id': [ group_id, 'group-id', [ int, 'None' ], False ], 'return_record': [ return_record, 'return-record', [ bool, 'None' ], False ], }, { 'result': [ UnixGroupInfo, False ], } ) def name_mapping_unix_group_delete_user(self, group_name, user_name): """ Delete a user from a UNIX group :param group_name: Specifies UNIX group name. :param user_name: Specifies user's UNIX account name. """ return self.request( "name-mapping-unix-group-delete-user", { 'group_name': [ group_name, 'group-name', [ basestring, 'None' ], False ], 'user_name': [ user_name, 'user-name', [ basestring, 'None' ], False ], }, { } ) def name_mapping_create(self, position, direction, replacement, pattern, return_record=None): """ Create a new name mapping for a Vserver. :param position: Position of an existing name mapping in the list of name mappings for this Vserver. :param direction: Direction in which the name mapping is applied. Possible values: <ul> <li> "krb_unix" - Kerberos principal name to UNIX user name mapping, <li> "win_unix" - Windows user name to UNIX user name mapping, <li> "unix_win" - UNIX user name to Windows user name mapping </ul> :param replacement: The name that is to be used as a replacement if the pattern associated with this entry matches. The replacement is a string containing escape sequences representing subexpressions from the pattern, as in the UNIX 'sed' program. :param pattern: Pattern to use to match the name while searching for a name that can be used as a replacement. The pattern is a UNIX-style regular expression. Regular expressions are case-insensitive when mapping from Windows to UNIX, and they are case-sensitive for mappings from Kerberos to UNIX and UNIX to Windows. :param return_record: If set to true, returns the name-mapping on successful creation. Default: false """ return self.request( "name-mapping-create", { 'position': [ position, 'position', [ int, 'None' ], False ], 'direction': [ direction, 'direction', [ basestring, 'name-mapping-direction' ], False ], 'replacement': [ replacement, 'replacement', [ basestring, 'None' ], False ], 'return_record': [ return_record, 'return-record', [ bool, 'None' ], False ], 'pattern': [ pattern, 'pattern', [ basestring, 'None' ], False ], }, { 'result': [ NameMappingInfo, False ], } ) def name_mapping_unix_user_get_iter(self, max_records=None, query=None, tag=None, desired_attributes=None): """ Iterate over a list of UNIX users. :param max_records: The maximum number of records to return in this call. Default: 20 :param query: A query that specifies which objects to return. A query could be specified on any number of attributes in the UNIX user information object. All UNIX user information objects matching this query up to 'max-records' will be returned. :param tag: Specify the tag from the last call. It is usually not specified for the first call. For subsequent calls, copy values from the 'next-tag' obtained from the previous call. :param desired_attributes: Specify the attributes that should be returned. If not present, all attributes for which information is available will be returned. If present, only the desired attributes for which information is available will be returned. """ return self.request( "name-mapping-unix-user-get-iter", { 'max_records': max_records, 'query': [ query, 'query', [ UnixUserInfo, 'None' ], False ], 'tag': tag, 'desired_attributes': [ desired_attributes, 'desired-attributes', [ UnixUserInfo, 'None' ], False ], }, { 'attributes-list': [ UnixUserInfo, True ], } ) def name_mapping_swap(self, position, direction, with_position): """ Swap the position of one name mapping with another. The position is the place in the sequence of name mappings in which the mappings are applied. :param position: Position of an existing name mapping in the list of name mappings for this Vserver. :param direction: Direction in which the name mapping is applied. :param with_position: Position of an existing name mapping entry in the list of name mappings for this Vserver. This entry will be swapped with the entry at 'position'. """ return self.request( "name-mapping-swap", { 'position': [ position, 'position', [ int, 'None' ], False ], 'direction': [ direction, 'direction', [ basestring, 'None' ], False ], 'with_position': [ with_position, 'with-position', [ int, 'None' ], False ], }, { } ) def name_mapping_unix_group_destroy(self, group_name): """ Destroy an existing UNIX group. :param group_name: Specifies UNIX group name. """ return self.request( "name-mapping-unix-group-destroy", { 'group_name': [ group_name, 'group-name', [ basestring, 'None' ], False ], }, { } ) def name_mapping_unix_group_add_user(self, group_name, user_name): """ Add a user to a UNIX group :param group_name: Specifies UNIX group name. :param user_name: Specifies user's UNIX account name. """ return self.request( "name-mapping-unix-group-add-user", { 'group_name': [ group_name, 'group-name', [ basestring, 'None' ], False ], 'user_name': [ user_name, 'user-name', [ basestring, 'None' ], False ], }, { } ) def name_mapping_unix_user_create(self, user_name, user_id, group_id, full_name=None, return_record=None): """ Create a new UNIX user. :param user_name: Specifies user's UNIX account name. :param user_id: Specifies an identification number for the UNIX user. :param group_id: Specifies the primary group identification number for the UNIX user. :param full_name: Specifies the full name of the UNIX user. :param return_record: If set to true, returns the UNIX user information on successful creation. Default: false """ return self.request( "name-mapping-unix-user-create", { 'full_name': [ full_name, 'full-name', [ basestring, 'None' ], False ], 'user_name': [ user_name, 'user-name', [ basestring, 'None' ], False ], 'return_record': [ return_record, 'return-record', [ bool, 'None' ], False ], 'user_id': [ user_id, 'user-id', [ int, 'None' ], False ], 'group_id': [ group_id, 'group-id', [ int, 'None' ], False ], }, { 'result': [ UnixUserInfo, False ], } )
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5db2fbe1b1dff1ad79a142b2af3276d0139e2780
18,811
py
Python
appqos/tests/test_rest_pool.py
ppalucki/intel-cmt-cat
10689f14d77a800df41ac1f0a6c4875ee23555d6
[ "BSD-3-Clause" ]
null
null
null
appqos/tests/test_rest_pool.py
ppalucki/intel-cmt-cat
10689f14d77a800df41ac1f0a6c4875ee23555d6
[ "BSD-3-Clause" ]
null
null
null
appqos/tests/test_rest_pool.py
ppalucki/intel-cmt-cat
10689f14d77a800df41ac1f0a6c4875ee23555d6
[ "BSD-3-Clause" ]
null
null
null
################################################################################ # BSD LICENSE # # Copyright(c) 2019-2020 Intel Corporation. All rights reserved. # All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions # are met: # # * Redistributions of source code must retain the above copyright # notice, this list of conditions and the following disclaimer. # * Redistributions in binary form must reproduce the above copyright # notice, this list of conditions and the following disclaimer in # the documentation and/or other materials provided with the # distribution. # * Neither the name of Intel Corporation nor the names of its # contributors may be used to endorse or promote products derived # from this software without specific prior written permission. # # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS # "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT # LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR # A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT # OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, # SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT # LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, # DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY # THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT # (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE # OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. ################################################################################ """ Unit tests for rest module POOLs """ import json from jsonschema import validate import mock import pytest import common from rest_common import get_config, load_json_schema, get_max_cos_id, REST, CONFIG, CONFIG_EMPTY class TestPools: @mock.patch("common.CONFIG_STORE.get_config", new=get_config) def test_get(self): response = REST.get("/pools") data = json.loads(response.data.decode('utf-8')) assert response.status_code == 200 # validate get all pools response schema schema, resolver = load_json_schema('get_pool_all_response.json') validate(data, schema, resolver=resolver) # assert 4 pools are returned # structure, types and required fields are validated using schema assert len(data) == len(CONFIG['pools']) @mock.patch("common.CONFIG_STORE.get_config", mock.MagicMock(return_value=CONFIG_EMPTY)) def test_get_empty(self): response = REST.get("/pools") data = json.loads(response.data.decode('utf-8')) assert response.status_code == 404 assert "No pools in config" in data["message"] @mock.patch("common.CONFIG_STORE.get_config", new=get_config) def test_get_invalid_id(self): response = REST.get("/apps/5") data = json.loads(response.data.decode('utf-8')) assert response.status_code == 404 assert "not found in config" in data["message"] class TestPool_2: @mock.patch("common.CONFIG_STORE.get_config", new=get_config) def test_get(self): response = REST.get("/pools/3") data = json.loads(response.data.decode('utf-8')) assert response.status_code == 200 # validate get 1 pool response schema schema, resolver = load_json_schema('get_pool_response.json') validate(data, schema, resolver=resolver) # assert 1 pool is returned # structure, types and required fields are validated using schema assert data['id'] == 3 @mock.patch("common.CONFIG_STORE.get_config", mock.MagicMock(return_value=CONFIG_EMPTY)) def test_get_empty(self): response = REST.get("/pools/5") data = json.loads(response.data.decode('utf-8')) assert response.status_code == 404 assert "No pools in config" in data["message"] @mock.patch("common.CONFIG_STORE.get_config", new=get_config) def test_get_invalid_id(self): response = REST.get("/pools/5") data = json.loads(response.data.decode('utf-8')) assert response.status_code == 404 assert "not found in config" in data["message"] @mock.patch("common.CONFIG_STORE.get_config", new=get_config) def test_delete(self): def set_config(data): for pool in data['pools']: assert pool['id'] != 3 with mock.patch('common.CONFIG_STORE.set_config', side_effect=set_config) as func_mock: response = REST.delete("/pools/3") func_mock.assert_called_once() assert response.status_code == 200 @mock.patch("common.CONFIG_STORE.get_config", new=get_config) def test_delete_invalid_id(self): with mock.patch('common.CONFIG_STORE.set_config') as func_mock: response = REST.delete("/pools/10") func_mock.assert_not_called() data = json.loads(response.data.decode('utf-8')) # assert 0 apps are returned assert response.status_code == 404 assert "POOL 10 not found in config" in data["message"] @mock.patch("common.CONFIG_STORE.get_config", new=get_config) def test_delete_default(self): with mock.patch('common.CONFIG_STORE.set_config') as func_mock: response = REST.delete("/pools/0") func_mock.assert_not_called() data = json.loads(response.data.decode('utf-8')) # assert 0 apps are returned assert response.status_code == 400 assert "is Default, cannot delete" in data["message"] @mock.patch("common.CONFIG_STORE.get_config", new=get_config) def test_delete_not_empty(self): with mock.patch('common.CONFIG_STORE.set_config') as func_mock: response = REST.delete("/pools/1") func_mock.assert_not_called() data = json.loads(response.data.decode('utf-8')) # assert 0 apps are returned assert response.status_code == 400 assert "POOL 1 is not empty" in data["message"] @mock.patch("common.CONFIG_STORE.get_config", mock.MagicMock(return_value=CONFIG_EMPTY)) def test_delete_empty_config(self): with mock.patch('common.CONFIG_STORE.set_config') as func_mock: response = REST.delete("/pools/1") func_mock.assert_not_called() data = json.loads(response.data.decode('utf-8')) assert response.status_code == 404 assert "No pools in config" in data["message"] @mock.patch("common.CONFIG_STORE.get_config", mock.MagicMock(return_value=CONFIG_EMPTY)) def test_put_empty_config(self): with mock.patch('common.CONFIG_STORE.set_config') as func_mock: response = REST.put("/pools/1", {"cbm": "0xc"}) func_mock.assert_not_called() data = json.loads(response.data.decode('utf-8')) assert response.status_code == 404 assert "No pools in config" in data["message"] @mock.patch("common.CONFIG_STORE.get_config", new=get_config) @mock.patch("common.PQOS_API.check_core", mock.MagicMock(return_value=True)) @mock.patch("common.PQOS_API.get_max_cos_id", new=get_max_cos_id) @mock.patch("caps.cat_supported", mock.MagicMock(return_value=True)) @mock.patch("caps.mba_supported", mock.MagicMock(return_value=True)) @mock.patch("power.validate_power_profiles", mock.MagicMock(return_value=True)) def test_put_cbm(self): def set_config(data): for pool in data['pools']: if pool['id'] == 1: assert pool['cbm'] == 0xc with mock.patch('common.CONFIG_STORE.set_config', side_effect=set_config) as func_mock,\ mock.patch('pid_ops.is_pid_valid', return_value=True): response = REST.put("/pools/1", {"cbm": "0xc"}) func_mock.assert_called_once() assert response.status_code == 200 @mock.patch("common.CONFIG_STORE.get_config", new=get_config) @mock.patch("common.PQOS_API.check_core", mock.MagicMock(return_value=True)) @mock.patch("common.PQOS_API.get_max_cos_id", new=get_max_cos_id) @mock.patch("caps.cat_supported", mock.MagicMock(return_value=False)) @mock.patch("caps.mba_supported", mock.MagicMock(return_value=True)) @mock.patch("power.validate_power_profiles", mock.MagicMock(return_value=True)) def test_put_cbm_unsupported(self): with mock.patch('common.CONFIG_STORE.set_config') as func_mock: response = REST.put("/pools/0", {"cbm": 0x1}) func_mock.assert_not_called() data = json.loads(response.data.decode('utf-8')) assert response.status_code == 400 assert "System does not support CAT" in data["message"] @mock.patch("common.CONFIG_STORE.get_config", new=get_config) @mock.patch("common.PQOS_API.check_core", mock.MagicMock(return_value=True)) @mock.patch("common.PQOS_API.get_max_cos_id", new=get_max_cos_id) @mock.patch("caps.cat_supported", mock.MagicMock(return_value=True)) @mock.patch("caps.mba_supported", mock.MagicMock(return_value=True)) @mock.patch("power.validate_power_profiles", mock.MagicMock(return_value=True)) def test_put_mba(self): def set_config(data): for pool in data['pools']: if pool['id'] == 1: assert pool['mba'] == 30 with mock.patch('common.CONFIG_STORE.set_config', side_effect=set_config) as func_mock,\ mock.patch('pid_ops.is_pid_valid', return_value=True): response = REST.put("/pools/1", {"mba": 30}) func_mock.assert_called_once() assert response.status_code == 200 @mock.patch("common.CONFIG_STORE.get_config", new=get_config) @mock.patch("common.PQOS_API.check_core", mock.MagicMock(return_value=True)) @mock.patch("common.PQOS_API.get_max_cos_id", new=get_max_cos_id) @mock.patch("caps.cat_supported", mock.MagicMock(return_value=True)) @mock.patch("caps.mba_supported", mock.MagicMock(return_value=False)) @mock.patch("power.validate_power_profiles", mock.MagicMock(return_value=True)) def test_put_mba_unsupported(self): with mock.patch('common.CONFIG_STORE.set_config') as func_mock: response = REST.put("/pools/0", {"mba": 30}) func_mock.assert_not_called() data = json.loads(response.data.decode('utf-8')) assert response.status_code == 400 assert "System does not support MBA" in data["message"] @mock.patch("common.CONFIG_STORE.get_config", new=get_config) @mock.patch("common.PQOS_API.get_max_cos_id", new=get_max_cos_id) @mock.patch("common.PQOS_API.check_core", mock.MagicMock(return_value=True)) @mock.patch("caps.cat_supported", mock.MagicMock(return_value=True)) @mock.patch("caps.mba_supported", mock.MagicMock(return_value=True)) @mock.patch("power.validate_power_profiles", mock.MagicMock(return_value=True)) def test_put_cores(self): def set_config(data): for pool in data['pools']: if pool['id'] == 2: assert pool['cores'] == [2, 3, 11] with mock.patch('common.CONFIG_STORE.set_config', side_effect=set_config) as func_mock,\ mock.patch('pid_ops.is_pid_valid', return_value=True): response = REST.put("/pools/2", {"cores": [2, 3, 11]}) func_mock.assert_called_once() assert response.status_code == 200 @mock.patch("common.CONFIG_STORE.get_config", new=get_config) @mock.patch("common.PQOS_API.get_max_cos_id", new=get_max_cos_id) @mock.patch("common.PQOS_API.check_core", mock.MagicMock(return_value=True)) @mock.patch("caps.cat_supported", mock.MagicMock(return_value=True)) @mock.patch("caps.mba_supported", mock.MagicMock(return_value=True)) @mock.patch("power.validate_power_profiles", mock.MagicMock(return_value=True)) def test_put_name(self): def set_config(data): for pool in data['pools']: if pool['id'] == 2: assert pool['name'] == "test" with mock.patch('common.CONFIG_STORE.set_config', side_effect=set_config) as func_mock,\ mock.patch('pid_ops.is_pid_valid', return_value=True): response = REST.put("/pools/2", {"name": "test"}) func_mock.assert_called_once() assert response.status_code == 200 @mock.patch("common.CONFIG_STORE.get_config", new=get_config) @mock.patch("common.PQOS_API.get_max_cos_id", new=get_max_cos_id) @mock.patch("common.PQOS_API.check_core", mock.MagicMock(return_value=True)) @mock.patch("caps.cat_supported", mock.MagicMock(return_value=True)) @mock.patch("caps.mba_supported", mock.MagicMock(return_value=True)) def test_put_duplicate_cores(self): with mock.patch('common.CONFIG_STORE.set_config') as func_mock: response = REST.put("/pools/2", {"cores": [1, 2, 3, 11]}) func_mock.assert_not_called() data = json.loads(response.data.decode('utf-8')) assert response.status_code == 400 assert "already assigned to another pool" in data["message"] @mock.patch("common.CONFIG_STORE.get_config", new=get_config) @mock.patch("common.PQOS_API.get_max_cos_id", new=get_max_cos_id) @mock.patch("common.PQOS_API.check_core", mock.MagicMock(return_value=True)) def test_put_empty_cores(self): with mock.patch('common.CONFIG_STORE.set_config') as func_mock: response = REST.put("/pools/2", {"cores": []}) func_mock.assert_not_called() assert response.status_code == 400 @mock.patch("common.CONFIG_STORE.get_config", new=get_config) @mock.patch("common.PQOS_API.get_max_cos_id", new=get_max_cos_id) @mock.patch("common.PQOS_API.check_core", mock.MagicMock(return_value=True)) def test_put_not_exist(self): with mock.patch('common.CONFIG_STORE.set_config') as func_mock: response = REST.put("/pools/10", {"cores": [2, 3, 11]}) func_mock.assert_not_called() data = json.loads(response.data.decode('utf-8')) assert response.status_code == 404 assert "not found in config" in data["message"] @mock.patch("common.CONFIG_STORE.get_config", new=get_config) @mock.patch("common.CONFIG_STORE.get_new_pool_id", mock.MagicMock(return_value=5)) @mock.patch("common.PQOS_API.check_core", mock.MagicMock(return_value=True)) @mock.patch("caps.cat_supported", mock.MagicMock(return_value=True)) @mock.patch("caps.mba_supported", mock.MagicMock(return_value=True)) @mock.patch("power.validate_power_profiles", mock.MagicMock(return_value=True)) @pytest.mark.parametrize("pool_config", [ {"cores":[11, 12], "cbm": "0xf"}, # no name {"name":"hello", "cores":[13, 17], "cbm": "0xf"}, # cbm string {"name":"hello", "cores":[11, 16], "cbm": 3}, # cbm int {"name":"hello_mba", "cores":[6, 7], "mba": 50}, # mba {"name":"hello_mba_cbm", "cores":[14, 18], "mba": 50, "cbm": "0xf0"} # cbm & mba ]) def test_post(self, pool_config): with mock.patch('common.CONFIG_STORE.set_config') as func_mock,\ mock.patch('pid_ops.is_pid_valid', return_value=True): response = REST.post("/pools", pool_config) func_mock.assert_called_once() data = json.loads(response.data.decode('utf-8')) #validate add pool response schema schema, resolver = load_json_schema('add_pool_response.json') validate(data, schema, resolver=resolver) assert response.status_code == 201 assert data['id'] == 5 @mock.patch("common.CONFIG_STORE.get_config", new=get_config) @mock.patch("common.CONFIG_STORE.get_new_pool_id", mock.MagicMock(return_value=None)) def test_post_exceed_max_number(self): with mock.patch('common.CONFIG_STORE.set_config') as func_mock: response = REST.post("/pools", {"cores":[11, 12], "cbm": "0xf"}) func_mock.assert_not_called() assert response.status_code == 500 @mock.patch("common.CONFIG_STORE.get_config", new=get_config) @mock.patch("common.CONFIG_STORE.get_new_pool_id", mock.MagicMock(return_value=5)) @mock.patch("common.PQOS_API.check_core", mock.MagicMock(return_value=True)) def test_post_duplicate_core(self): with mock.patch('common.CONFIG_STORE.set_config') as func_mock: response = REST.post("/pools", {"cores":[1, 2, 3], "cbm": "0xf"}) func_mock.assert_not_called() assert response.status_code == 400 @mock.patch("common.CONFIG_STORE.get_config", new=get_config) def test_post_unknown_param(self): with mock.patch('common.CONFIG_STORE.set_config') as func_mock: response = REST.post("/pools", {"cores":[20], "cbm": "0xf", "unknown": 1}) func_mock.assert_not_called() assert response.status_code == 400 @mock.patch("common.CONFIG_STORE.get_config", new=get_config) @pytest.mark.parametrize("pool_config", [ {"cores": "invalid", "cbm": "0xf"}, {"cores": [20], "cbm": "invalid"}, {"cores": [20], "mba": "invalid"} ]) def test_post_invalid_value(self, pool_config): with mock.patch('common.CONFIG_STORE.set_config') as func_mock: response = REST.post("/pools", pool_config) func_mock.assert_not_called() assert response.status_code == 400 @mock.patch("common.CONFIG_STORE.get_config", new=get_config) @pytest.mark.parametrize("no_req_fields_json", [ {"mba": 10}, # missing cores {"cbm": "0xf"}, # missing cores {"mba": 10, "cbm": "0xf"}, # missing cores {"name":"hello", "mba": 10, "cbm": "0xf"}, # missing cores {"name":"hello", "cbm": "0xf"}, # missing cores {"cores":[3, 10]}, # missing at least one alloc technology {"name":"hello", "cores":[3, 10]}, # missing at least one alloc technology {"name":"hello"}, # missing at least one alloc technology and cores {"cores":[3, 10], "cbm": "0xf", "apps":[1]} # extra property "apps" ]) def test_post_no_req_fields(self, no_req_fields_json): with mock.patch('common.CONFIG_STORE.set_config') as func_mock: response = REST.post("/pools", no_req_fields_json) func_mock.assert_not_called() assert response.status_code == 400
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6
5dc2b4dc69e1bf9e1644f5df4169b958dab57801
3,700
py
Python
dialogue-engine/src/programy/storage/stores/sql/store/users.py
cotobadesign/cotoba-agent-oss
3833d56e79dcd7529c3e8b3a3a8a782d513d9b12
[ "MIT" ]
104
2020-03-30T09:40:00.000Z
2022-03-06T22:34:25.000Z
dialogue-engine/src/programy/storage/stores/sql/store/users.py
cotobadesign/cotoba-agent-oss
3833d56e79dcd7529c3e8b3a3a8a782d513d9b12
[ "MIT" ]
25
2020-06-12T01:36:35.000Z
2022-02-19T07:30:44.000Z
dialogue-engine/src/programy/storage/stores/sql/store/users.py
cotobadesign/cotoba-agent-oss
3833d56e79dcd7529c3e8b3a3a8a782d513d9b12
[ "MIT" ]
10
2020-04-02T23:43:56.000Z
2021-05-14T13:47:01.000Z
""" Copyright (c) 2020 COTOBA DESIGN, Inc. 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. """ """ Copyright (c) 2016-2019 Keith Sterling http://www.keithsterling.com 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. """ from programy.storage.stores.sql.store.sqlstore import SQLStore from programy.storage.entities.user import UserStore from programy.storage.stores.sql.dao.user import User class SQLUserStore(SQLStore, UserStore): def __init__(self, storage_engine): SQLStore.__init__(self, storage_engine) def empty(self): self._storage_engine.session.query(User).delete() def add_user(self, userid, client): user = User(userid=userid, client=client) self._storage_engine.session.add(user) return user def exists(self, userid, clientid): try: self._storage_engine.session.query(User).filter(User.userid == userid, User.client == clientid).one() return True except Exception: return False def get_links(self, userid): links = [] db_users = self._storage_engine.session.query(User).filter(User.userid == userid) for user in db_users: links.append(user.client) return links def remove_user(self, userid, clientid): try: self._storage_engine.session.query(User).filter(User.userid == userid, User.client == clientid).delete() return True except Exception: pass return False def remove_user_from_all_clients(self, userid): try: self._storage_engine.session.query(User).filter(User.userid == userid).delete() return True except Exception: pass return False
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0.760223
0.726022
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0.004058
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6
5ddd904ed29ee95c6ae7dda623c7543fe63ce13f
40
py
Python
zemberek/core/utils/__init__.py
Loodos/zemberek-python
4f6b47abda98ed5a4d440738d39a92374d50ef6b
[ "Apache-2.0" ]
52
2020-08-24T09:52:58.000Z
2022-03-19T05:02:06.000Z
zemberek/core/utils/__init__.py
Loodos/zemberek-python
4f6b47abda98ed5a4d440738d39a92374d50ef6b
[ "Apache-2.0" ]
7
2020-09-07T09:02:33.000Z
2021-11-26T14:15:41.000Z
zemberek/core/utils/__init__.py
Loodos/zemberek-python
4f6b47abda98ed5a4d440738d39a92374d50ef6b
[ "Apache-2.0" ]
7
2020-09-23T19:27:55.000Z
2022-03-14T09:02:41.000Z
from .thread_locks import ReadWriteLock
20
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0.875
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6.8
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6
f8e68a8fcfb1b8b3f3c82f5acd6cf859e8a78dec
903
py
Python
sorted_nearest/__init__.py
endrebak/sorted_nearest
cf99b8498cada089ecdb4cf565f5e3304591be0f
[ "BSD-3-Clause" ]
null
null
null
sorted_nearest/__init__.py
endrebak/sorted_nearest
cf99b8498cada089ecdb4cf565f5e3304591be0f
[ "BSD-3-Clause" ]
3
2020-06-19T14:32:25.000Z
2021-05-24T14:29:53.000Z
sorted_nearest/__init__.py
endrebak/sorted_nearest
cf99b8498cada089ecdb4cf565f5e3304591be0f
[ "BSD-3-Clause" ]
2
2020-01-20T12:39:00.000Z
2021-04-14T15:51:05.000Z
from sorted_nearest.src.sorted_nearest import (nearest_previous_nonoverlapping, nearest_next_nonoverlapping, nearest_nonoverlapping) from sorted_nearest.src.k_nearest import k_nearest_previous_nonoverlapping, k_nearest_next_nonoverlapping from sorted_nearest.src.k_nearest_ties import get_all_ties, get_different_ties from sorted_nearest.src.tiles import maketiles from sorted_nearest.src.clusters import find_clusters from sorted_nearest.src.max_disjoint_intervals import max_disjoint from sorted_nearest.src.introns import find_introns from sorted_nearest.src.annotate_clusters import annotate_clusters from sorted_nearest.src.cluster_by import cluster_by from sorted_nearest.src.merge_by import merge_by from sorted_nearest.src.windows import makewindows from sorted_nearest.version import __version__
47.526316
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0.123894
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6
5d1c604eb4d4994fdea2e4d6ee023202a7971479
25
py
Python
starry_process/ops/eigh/__init__.py
arfon/starry_process
72b2a540e7e4fdb2e6af61507efa1c9861d5c919
[ "MIT" ]
13
2020-04-14T17:47:28.000Z
2022-03-16T15:19:48.000Z
starry_process/ops/eigh/__init__.py
arfon/starry_process
72b2a540e7e4fdb2e6af61507efa1c9861d5c919
[ "MIT" ]
22
2020-09-23T20:33:22.000Z
2022-02-07T17:38:09.000Z
starry_process/ops/eigh/__init__.py
arfon/starry_process
72b2a540e7e4fdb2e6af61507efa1c9861d5c919
[ "MIT" ]
8
2020-04-14T17:47:44.000Z
2022-02-06T16:39:47.000Z
from .eigh import EighOp
12.5
24
0.8
4
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5
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6
5d2dd88c740d9da768d0440c065601e19e80a454
43
py
Python
min2net/preprocessing/MW/__init__.py
deepanshi98/mlp-project
c4af1a86fad4e7d51ace0e183a5b02b32864e9e5
[ "Apache-2.0" ]
null
null
null
min2net/preprocessing/MW/__init__.py
deepanshi98/mlp-project
c4af1a86fad4e7d51ace0e183a5b02b32864e9e5
[ "Apache-2.0" ]
null
null
null
min2net/preprocessing/MW/__init__.py
deepanshi98/mlp-project
c4af1a86fad4e7d51ace0e183a5b02b32864e9e5
[ "Apache-2.0" ]
1
2022-02-28T21:08:32.000Z
2022-02-28T21:08:32.000Z
from . import time_domain from . import raw
21.5
25
0.790698
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6
5d44333e2a702ebbce3da35cc15d915b7d524981
44
py
Python
mdpy/examples/boyan_chain.py
rldotai/mdpy
e4949c1a0fa7f5a1a0eaf028b180c851980284d7
[ "MIT" ]
14
2017-02-08T04:11:37.000Z
2020-05-01T07:22:37.000Z
mdpy/examples/boyan_chain.py
rldotai/mdpy
e4949c1a0fa7f5a1a0eaf028b180c851980284d7
[ "MIT" ]
null
null
null
mdpy/examples/boyan_chain.py
rldotai/mdpy
e4949c1a0fa7f5a1a0eaf028b180c851980284d7
[ "MIT" ]
3
2018-08-13T13:56:31.000Z
2022-03-14T15:31:01.000Z
"""Boyan's Chain MDP.""" import numpy as np
14.666667
24
0.659091
8
44
3.625
1
0
0
0
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0
0
0
0
0
0
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0.159091
44
2
25
22
0.783784
0.409091
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true
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1
0
1
0
0
6
5d638ee183cc9c732206781f41075be7975ecd4f
74
py
Python
n_utils/nameless-dt-enable-profile.py
Jalle19/nameless-deploy-tools
755b00ac4c87611cc57cabc3b593c8cafce2498b
[ "Apache-2.0" ]
10
2017-02-12T17:04:56.000Z
2018-11-10T16:46:57.000Z
n_utils/nameless-dt-enable-profile.py
Jalle19/nameless-deploy-tools
755b00ac4c87611cc57cabc3b593c8cafce2498b
[ "Apache-2.0" ]
22
2017-04-06T11:41:01.000Z
2019-09-18T05:45:03.000Z
n_utils/nameless-dt-enable-profile.py
Jalle19/nameless-deploy-tools
755b00ac4c87611cc57cabc3b593c8cafce2498b
[ "Apache-2.0" ]
4
2020-02-25T11:08:47.000Z
2022-02-10T13:29:53.000Z
from n_utils.profile_util import cli_enable_profile cli_enable_profile()
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4.916667
0.666667
0.305085
0.542373
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6
539f18099231d1c60374443a6998aaef34d7dcc8
1,643
py
Python
hasty/templater/forms.py
NREL/hasty
3beb041813ee92ba8942121d8e33c6b025eea448
[ "BSD-3-Clause" ]
4
2020-10-09T19:30:04.000Z
2020-11-23T10:05:43.000Z
hasty/templater/forms.py
NREL/hasty
3beb041813ee92ba8942121d8e33c6b025eea448
[ "BSD-3-Clause" ]
29
2021-01-28T14:03:05.000Z
2022-02-03T18:21:09.000Z
hasty/templater/forms.py
NREL/haste
18e4941d933a90a53c162a64993ff46608a7128f
[ "BSD-3-Clause" ]
null
null
null
from django import forms from . import models from mapp.models import HaystackPointType, HaystackEquipmentType, BrickPointType, BrickEquipmentType class HaystackEquipmentTemplateForm(forms.ModelForm): equipment_type = forms.ModelChoiceField(queryset=HaystackEquipmentType.objects.order_by('haystack_tagset')) points = forms.ModelMultipleChoiceField(queryset=HaystackPointType.objects.all(), widget=forms.CheckboxSelectMultiple) class Meta: model = models.HaystackEquipmentTemplate fields = ('__all__') class BrickEquipmentTemplateForm(forms.ModelForm): equipment_type = forms.ModelChoiceField(queryset=BrickEquipmentType.objects.order_by('brick_class')) points = forms.ModelMultipleChoiceField(queryset=BrickPointType.objects.all(), widget=forms.CheckboxSelectMultiple) class Meta: model = models.BrickEquipmentTemplate fields = ('__all__') class HaystackFaultTemplateForm(forms.ModelForm): equipment_type = forms.ModelChoiceField(queryset=HaystackEquipmentType.objects.order_by('haystack_tagset')) points = forms.ModelMultipleChoiceField(queryset=HaystackPointType.objects.all(), widget=forms.CheckboxSelectMultiple) class Meta: model = models.HaystackFaultTemplate fields = ('__all__') class BrickFaultTemplateForm(forms.ModelForm): equipment_type = forms.ModelChoiceField(queryset=BrickEquipmentType.objects.order_by('brick_class')) points = forms.ModelMultipleChoiceField(queryset=BrickPointType.objects.all(), widget=forms.CheckboxSelectMultiple) class Meta: model = models.BrickFaultTemplate fields = ('__all__')
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0
6
53b8f2f2e36005bebff39507b2be8cb7f28ec9cf
85
py
Python
modules/tinyexr/config.py
codetorex/godot
3f6a7c74e3ebb3d8e0e204c8a68d110c5dc3991d
[ "CC-BY-3.0", "Apache-2.0", "MIT" ]
222
2018-09-10T17:52:03.000Z
2022-03-24T04:55:19.000Z
modules/tinyexr/config.py
codetorex/godot
3f6a7c74e3ebb3d8e0e204c8a68d110c5dc3991d
[ "CC-BY-3.0", "Apache-2.0", "MIT" ]
27
2022-01-06T06:31:25.000Z
2022-03-29T01:18:01.000Z
modules/tinyexr/config.py
codetorex/godot
3f6a7c74e3ebb3d8e0e204c8a68d110c5dc3991d
[ "CC-BY-3.0", "Apache-2.0", "MIT" ]
26
2019-04-12T11:21:26.000Z
2022-03-11T00:20:53.000Z
def can_build(env, platform): return env["tools"] def configure(env): pass
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85
6
30
14.166667
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1
0.5
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0
1
0
1
0
1
1
0
0
6
54df5d7c78b9133e5d2fdb31ea7de15a265b112a
115
py
Python
fuse/utils/multiprocessing/__init__.py
alexgo1/fuse-med-ml
928375828ff321d2bf7b2084389e34e1db0682e9
[ "Apache-2.0" ]
null
null
null
fuse/utils/multiprocessing/__init__.py
alexgo1/fuse-med-ml
928375828ff321d2bf7b2084389e34e1db0682e9
[ "Apache-2.0" ]
null
null
null
fuse/utils/multiprocessing/__init__.py
alexgo1/fuse-med-ml
928375828ff321d2bf7b2084389e34e1db0682e9
[ "Apache-2.0" ]
null
null
null
from .run_multiprocessed import run_multiprocessed, get_from_global_storage from .helpers import get_chunks_ranges
38.333333
75
0.895652
16
115
6
0.625
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115
2
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57.5
0.90566
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6
54e087ff6072702ad9c12b994ace0c66c8d8209d
43
py
Python
app/routes.py
xujl930/wechat-shift-car
db0d064d021b3f59a1c08bcd131e300a52f1035d
[ "MIT" ]
null
null
null
app/routes.py
xujl930/wechat-shift-car
db0d064d021b3f59a1c08bcd131e300a52f1035d
[ "MIT" ]
null
null
null
app/routes.py
xujl930/wechat-shift-car
db0d064d021b3f59a1c08bcd131e300a52f1035d
[ "MIT" ]
null
null
null
# -*- coding:utf8 -*- from . import page
8.6
21
0.55814
5
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4.8
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0.030303
0.232558
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4
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6
54e0920b8f2ae45ce30cb6e9e7e610aa42bff8da
68
py
Python
termy/__main__.py
dingusagar/termy
599185beaa15dbd1f188429e8426bfd1642452ee
[ "MIT" ]
1
2022-01-13T19:45:28.000Z
2022-01-13T19:45:28.000Z
termy/__main__.py
dingusagar/termy
599185beaa15dbd1f188429e8426bfd1642452ee
[ "MIT" ]
null
null
null
termy/__main__.py
dingusagar/termy
599185beaa15dbd1f188429e8426bfd1642452ee
[ "MIT" ]
null
null
null
from termy.controller.controller import init_cli_app init_cli_app()
22.666667
52
0.867647
11
68
5
0.636364
0.254545
0.363636
0
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0
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68
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true
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0
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6
072b305252872a169ba4318f26c9d6af7d155712
11,691
py
Python
tests/callbacks/test_torch_scheduler.py
NunoEdgarGFlowHub/torchbearer
d2b21b8ffcabde5b505cb1c736e05af6ee4276ca
[ "MIT" ]
null
null
null
tests/callbacks/test_torch_scheduler.py
NunoEdgarGFlowHub/torchbearer
d2b21b8ffcabde5b505cb1c736e05af6ee4276ca
[ "MIT" ]
null
null
null
tests/callbacks/test_torch_scheduler.py
NunoEdgarGFlowHub/torchbearer
d2b21b8ffcabde5b505cb1c736e05af6ee4276ca
[ "MIT" ]
null
null
null
from unittest import TestCase from mock import patch, Mock import warnings import torchbearer from torchbearer.callbacks import TorchScheduler, LambdaLR, StepLR, MultiStepLR, ExponentialLR, CosineAnnealingLR,\ ReduceLROnPlateau, CyclicLR class TestTorchScheduler(TestCase): def setUp(self): super(TestTorchScheduler, self).setUp() warnings.filterwarnings('always') def tearDown(self): super(TestTorchScheduler, self).tearDown() warnings.filterwarnings('default') def test_torch_scheduler_on_batch_with_monitor(self): state = {torchbearer.EPOCH: 1, torchbearer.METRICS: {'test': 101}, torchbearer.OPTIMIZER: 'optimizer'} mock_scheduler = Mock() mock_scheduler.return_value = mock_scheduler torch_scheduler = TorchScheduler(lambda opt: mock_scheduler(opt), monitor='test', step_on_batch=True) torch_scheduler.on_start(state) mock_scheduler.assert_called_once_with('optimizer') mock_scheduler.reset_mock() torch_scheduler.on_start_training(state) mock_scheduler.assert_not_called() mock_scheduler.reset_mock() torch_scheduler.on_sample(state) mock_scheduler.assert_not_called() mock_scheduler.reset_mock() torch_scheduler.on_step_training(state) mock_scheduler.step.assert_called_once_with(101) mock_scheduler.reset_mock() torch_scheduler.on_end_epoch(state) mock_scheduler.assert_not_called() mock_scheduler.reset_mock() def test_torch_scheduler_on_epoch_with_monitor(self): state = {torchbearer.EPOCH: 1, torchbearer.METRICS: {'test': 101}, torchbearer.OPTIMIZER: 'optimizer', torchbearer.DATA: None} mock_scheduler = Mock() mock_scheduler.return_value = mock_scheduler torch_scheduler = TorchScheduler(lambda opt: mock_scheduler(opt), monitor='test', step_on_batch=False) torch_scheduler.on_start(state) mock_scheduler.assert_called_once_with('optimizer') mock_scheduler.reset_mock() torch_scheduler.on_start_training(state) mock_scheduler.assert_not_called() mock_scheduler.reset_mock() torch_scheduler.on_sample(state) mock_scheduler.assert_not_called() mock_scheduler.reset_mock() torch_scheduler.on_step_training(state) mock_scheduler.assert_not_called() mock_scheduler.reset_mock() torch_scheduler.on_end_epoch(state) mock_scheduler.step.assert_called_once_with(101, epoch=1) mock_scheduler.reset_mock() def test_torch_scheduler_on_batch_no_monitor(self): state = {torchbearer.EPOCH: 1, torchbearer.OPTIMIZER: 'optimizer'} mock_scheduler = Mock() mock_scheduler.return_value = mock_scheduler torch_scheduler = TorchScheduler(lambda opt: mock_scheduler(opt), monitor=None, step_on_batch=True) torch_scheduler.on_start(state) mock_scheduler.assert_called_once_with('optimizer') mock_scheduler.reset_mock() torch_scheduler.on_start_training(state) mock_scheduler.assert_not_called() mock_scheduler.reset_mock() torch_scheduler.on_sample(state) mock_scheduler.step.assert_called_once_with() mock_scheduler.reset_mock() torch_scheduler.on_step_training(state) mock_scheduler.assert_not_called() mock_scheduler.reset_mock() torch_scheduler.on_end_epoch(state) mock_scheduler.assert_not_called() mock_scheduler.reset_mock() def test_torch_scheduler_on_epoch_no_monitor(self): state = {torchbearer.EPOCH: 1, torchbearer.OPTIMIZER: 'optimizer', torchbearer.METRICS: {}} mock_scheduler = Mock() mock_scheduler.return_value = mock_scheduler torch_scheduler = TorchScheduler(lambda opt: mock_scheduler(opt), monitor=None, step_on_batch=False) torch_scheduler.on_start(state) mock_scheduler.assert_called_once_with('optimizer') mock_scheduler.reset_mock() torch_scheduler.on_sample(state) mock_scheduler.assert_not_called() mock_scheduler.reset_mock() torch_scheduler.on_step_training(state) mock_scheduler.assert_not_called() mock_scheduler.reset_mock() torch_scheduler.on_end_epoch(state) mock_scheduler.assert_not_called() mock_scheduler.reset_mock() def test_monitor_not_found(self): state = {torchbearer.EPOCH: 1, torchbearer.OPTIMIZER: 'optimizer', torchbearer.METRICS: {'not_test': 1.}} mock_scheduler = Mock() mock_scheduler.return_value = mock_scheduler torch_scheduler = TorchScheduler(lambda opt: mock_scheduler(opt), monitor='test', step_on_batch=False) torch_scheduler.on_start(state) with warnings.catch_warnings(record=True) as w: torch_scheduler.on_start_validation(state) self.assertTrue(len(w) == 0) with warnings.catch_warnings(record=True) as w: torch_scheduler.on_end_epoch(state) self.assertTrue('Failed to retrieve key `test`' in str(w[0].message)) def test_monitor_found(self): state = {torchbearer.EPOCH: 1, torchbearer.OPTIMIZER: 'optimizer', torchbearer.METRICS: {'test': 1.}} mock_scheduler = Mock() mock_scheduler.return_value = mock_scheduler torch_scheduler = TorchScheduler(lambda opt: mock_scheduler(opt), monitor='test', step_on_batch=False) torch_scheduler.on_start(state) with warnings.catch_warnings(record=True) as w: torch_scheduler.on_start_training(state) self.assertTrue(len(w) == 0) with warnings.catch_warnings(record=True) as w: torch_scheduler.on_start_validation(state) self.assertTrue(len(w) == 0) with warnings.catch_warnings(record=True) as w: torch_scheduler.on_end_epoch(state) self.assertTrue(len(w) == 0) def test_batch_monitor_not_found(self): state = {torchbearer.EPOCH: 1, torchbearer.OPTIMIZER: 'optimizer', torchbearer.METRICS: {'not_test': 1.}} mock_scheduler = Mock() mock_scheduler.return_value = mock_scheduler torch_scheduler = TorchScheduler(lambda opt: mock_scheduler(opt), monitor='test', step_on_batch=True) torch_scheduler.on_start(state) with warnings.catch_warnings(record=True) as w: torch_scheduler.on_step_training(state) self.assertTrue('Failed to retrieve key `test`' in str(w[0].message)) def test_batch_monitor_found(self): state = {torchbearer.EPOCH: 1, torchbearer.OPTIMIZER: 'optimizer', torchbearer.METRICS: {'test': 1.}} mock_scheduler = Mock() mock_scheduler.return_value = mock_scheduler torch_scheduler = TorchScheduler(lambda opt: mock_scheduler(opt), monitor='test', step_on_batch=True) torch_scheduler.on_start(state) with warnings.catch_warnings(record=True) as w: torch_scheduler.on_step_training(state) self.assertTrue(len(w) == 0) class TestLambdaLR(TestCase): @patch('torch.optim.lr_scheduler.LambdaLR') def test_lambda_lr(self, lr_mock): state = {torchbearer.OPTIMIZER: 'optimizer'} scheduler = LambdaLR(0.1, last_epoch=-4, step_on_batch='batch') scheduler.on_start(state) lr_mock.assert_called_once_with('optimizer', 0.1, last_epoch=-4) self.assertTrue(scheduler._step_on_batch == 'batch') class TestStepLR(TestCase): @patch('torch.optim.lr_scheduler.StepLR') def test_lambda_lr(self, lr_mock): state = {torchbearer.OPTIMIZER: 'optimizer'} scheduler = StepLR(10, gamma=0.4, last_epoch=-4, step_on_batch='batch') scheduler.on_start(state) lr_mock.assert_called_once_with('optimizer', 10, gamma=0.4, last_epoch=-4) self.assertTrue(scheduler._step_on_batch == 'batch') class TestMultiStepLR(TestCase): @patch('torch.optim.lr_scheduler.MultiStepLR') def test_lambda_lr(self, lr_mock): state = {torchbearer.OPTIMIZER: 'optimizer'} scheduler = MultiStepLR(10, gamma=0.4, last_epoch=-4, step_on_batch='batch') scheduler.on_start(state) lr_mock.assert_called_once_with('optimizer', 10, gamma=0.4, last_epoch=-4) self.assertTrue(scheduler._step_on_batch == 'batch') class TestExponentialLR(TestCase): @patch('torch.optim.lr_scheduler.ExponentialLR') def test_lambda_lr(self, lr_mock): state = {torchbearer.OPTIMIZER: 'optimizer'} scheduler = ExponentialLR(0.4, last_epoch=-4, step_on_batch='batch') scheduler.on_start(state) lr_mock.assert_called_once_with('optimizer', 0.4, last_epoch=-4) self.assertTrue(scheduler._step_on_batch == 'batch') class TestCosineAnnealingLR(TestCase): @patch('torch.optim.lr_scheduler.CosineAnnealingLR') def test_lambda_lr(self, lr_mock): state = {torchbearer.OPTIMIZER: 'optimizer'} scheduler = CosineAnnealingLR(4, eta_min=10, last_epoch=-4, step_on_batch='batch') scheduler.on_start(state) lr_mock.assert_called_once_with('optimizer', 4, eta_min=10, last_epoch=-4) self.assertTrue(scheduler._step_on_batch == 'batch') class TestReduceLROnPlateau(TestCase): @patch('torch.optim.lr_scheduler.ReduceLROnPlateau') def test_lambda_lr(self, lr_mock): state = {torchbearer.OPTIMIZER: 'optimizer'} scheduler = ReduceLROnPlateau(monitor='test', mode='max', factor=0.2, patience=100, verbose=True, threshold=10, threshold_mode='thresh', cooldown=5, min_lr=0.1, eps=1e-4, step_on_batch='batch') scheduler.on_start(state) lr_mock.assert_called_once_with('optimizer', mode='max', factor=0.2, patience=100, verbose=True, threshold=10, threshold_mode='thresh', cooldown=5, min_lr=0.1, eps=1e-4) self.assertTrue(scheduler._step_on_batch == 'batch') self.assertTrue(scheduler._monitor == 'test') class TestCyclicLR(TestCase): def test_lambda_lr(self): from distutils.version import LooseVersion import torch version = torch.__version__ if str(torch.__version__) is torch.__version__ else "0.4.0" if LooseVersion(version) > LooseVersion("1.0.0"): # CyclicLR is implemented with patch('torch.optim.lr_scheduler.CyclicLR') as lr_mock: state = {torchbearer.OPTIMIZER: 'optimizer'} scheduler = CyclicLR(0.01, 0.1, monitor='test', step_size_up=200, step_size_down=None, mode='triangular', gamma=2., scale_fn=None, scale_mode='cycle', cycle_momentum=False, base_momentum=0.7, max_momentum=0.9, last_epoch=-1, step_on_batch='batch') scheduler.on_start(state) lr_mock.assert_called_once_with('optimizer', 0.01, 0.1, step_size_up=200, step_size_down=None, mode='triangular', gamma=2., scale_fn=None, scale_mode='cycle', cycle_momentum=False, base_momentum=0.7, max_momentum=0.9, last_epoch=-1) self.assertTrue(scheduler._step_on_batch == 'batch') self.assertTrue(scheduler._monitor == 'test') else: self.assertRaises(NotImplementedError, lambda: CyclicLR(0.01, 0.1, monitor='test', step_size_up=200, step_size_down=None, mode='triangular', gamma=2., scale_fn=None, scale_mode='cycle', cycle_momentum=False, base_momentum=0.7, max_momentum=0.9, last_epoch=-1, step_on_batch='batch'))
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0.825178
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11,691
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0
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6
074a844ea59efc9bfea92299eaeabb23a03851f3
177
py
Python
cocutils/__init__.py
zhs007/cocutils
ca8fa1e21570793dfd732143cfc577accfa3a8da
[ "Apache-2.0" ]
null
null
null
cocutils/__init__.py
zhs007/cocutils
ca8fa1e21570793dfd732143cfc577accfa3a8da
[ "Apache-2.0" ]
null
null
null
cocutils/__init__.py
zhs007/cocutils
ca8fa1e21570793dfd732143cfc577accfa3a8da
[ "Apache-2.0" ]
null
null
null
# -*- coding:utf-8 -*- from cocutils.utils import procDataFrame from cocutils.dumpsc import dumpsc from cocutils.dumpsc2 import sc2png from cocutils.pathutils import findAllFile
35.4
42
0.819209
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6.304348
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177
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py
Python
schema_org/schema_org/sotools/__init__.py
DataONEorg/d1_ncei_adapter
34dd4ed9d581d259a70d7c9a884f520226dd2691
[ "Apache-2.0" ]
1
2019-06-19T02:41:02.000Z
2019-06-19T02:41:02.000Z
schema_org/schema_org/sotools/__init__.py
DataONEorg/d1_ncei_adapter
34dd4ed9d581d259a70d7c9a884f520226dd2691
[ "Apache-2.0" ]
7
2019-06-24T20:21:51.000Z
2022-01-07T13:06:07.000Z
schema_org/schema_org/sotools/__init__.py
DataONEorg/d1_ncei_adapter
34dd4ed9d581d259a70d7c9a884f520226dd2691
[ "Apache-2.0" ]
3
2017-04-17T13:24:20.000Z
2019-05-28T18:32:27.000Z
""" """ from .common import *
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ab3c77e52b9ec1578c4973911fbb7a7854636ad3
4,792
py
Python
gesture_box.py
Grivois/Bibliomancy
38db6a25a652e722327cf7c80e56c41d6d18cd20
[ "MIT" ]
null
null
null
gesture_box.py
Grivois/Bibliomancy
38db6a25a652e722327cf7c80e56c41d6d18cd20
[ "MIT" ]
null
null
null
gesture_box.py
Grivois/Bibliomancy
38db6a25a652e722327cf7c80e56c41d6d18cd20
[ "MIT" ]
null
null
null
from kivy.gesture import GestureDatabase from kivy.uix.boxlayout import BoxLayout from kivy.gesture import Gesture gesture_strings = { 'left_to_right_line': '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', 'right_to_left_line': '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' } #This database can compare gestures the user makes to its stored gestures #and tell us if the user input matches any of them. gestures = GestureDatabase() for name, gesture_string in gesture_strings.items(): gesture = gestures.str_to_gesture(gesture_string) gesture.name = name gestures.add_gesture(gesture) class GestureBox(BoxLayout): def __init__(self, **kwargs): for name in gesture_strings: self.register_event_type('on_{}'.format(name)) super(GestureBox, self).__init__(**kwargs) def on_left_to_right_line(self): pass def on_right_to_left_line(self): pass #To recognize a gesture, you’ll need to start recording each individual event in the #touch_down handler, add the data points for each call to touch_move , and then do the #gesture calculations when all data points have been received in the touch_up handler. def on_touch_down(self, touch): #create an user defined variable and add the touch coordinates touch.ud['gesture_path'] = [(touch.x, touch.y)] super(GestureBox, self).on_touch_down(touch) def on_touch_move(self, touch): touch.ud['gesture_path'].append((touch.x, touch.y)) super(GestureBox, self).on_touch_move(touch) def on_touch_up(self, touch): if 'gesture_path' in touch.ud: #create a gesture object gesture = Gesture() #add the movement coordinates gesture.add_stroke(touch.ud['gesture_path']) #normalize so thwu willtolerate size variations gesture.normalize() #minscore to be attained for a match to be true match = gestures.find(gesture, minscore=0.3) if match: print("{} happened".format(match[1].name)) self.dispatch('on_{}'.format(match[1].name)) super(GestureBox, self).on_touch_up(touch)
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ab3e59140ee6cd8ea6f8a6f465b1af1ad30bc3f3
273
py
Python
tests/conftest.py
aerogear/androidctl
f057117a893b2e24f47218b98ebf2e4552502eae
[ "Apache-2.0" ]
null
null
null
tests/conftest.py
aerogear/androidctl
f057117a893b2e24f47218b98ebf2e4552502eae
[ "Apache-2.0" ]
3
2017-08-11T08:27:34.000Z
2021-06-01T22:46:14.000Z
tests/conftest.py
aerogear/androidctl
f057117a893b2e24f47218b98ebf2e4552502eae
[ "Apache-2.0" ]
1
2017-08-10T13:42:05.000Z
2017-08-10T13:42:05.000Z
import os import pytest @pytest.fixture def cwd(): return os.path.dirname(os.path.realpath(__file__)) @pytest.fixture def android_home(cwd): return '%s/fixtures/android-sdk-linux' % cwd @pytest.fixture def props_path(cwd): return '%s/fixtures/props.cfg' % cwd
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db81b8b0b0c15d1780e9f7c904d9dc18cfa4b8f8
133
py
Python
checkstyle_filter/git/__init__.py
GengroHirano/GithubCheckReporter
ef8ac9121f24931393e6405fa8a9533cc311aeb7
[ "MIT" ]
null
null
null
checkstyle_filter/git/__init__.py
GengroHirano/GithubCheckReporter
ef8ac9121f24931393e6405fa8a9533cc311aeb7
[ "MIT" ]
null
null
null
checkstyle_filter/git/__init__.py
GengroHirano/GithubCheckReporter
ef8ac9121f24931393e6405fa8a9533cc311aeb7
[ "MIT" ]
null
null
null
# ヘヴィノコー #       __ #       /◎_ヽ #      |<゚Д゚)~ # |ヽ /⌒/⌒/ (ノ_|⊃ # | ソ ノ ノ /_ノ # ヽ_人_人_/∪∪ # link: http://heno2.com/2ch/v.php?21036
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dbb33ea7a680eb375ff998661db53618c8c72ce3
47
py
Python
esl/economics/accounting/__init__.py
vishalbelsare/ESL
cea6feda1e588d5f441742dbb1e4c5479b47d357
[ "Apache-2.0" ]
37
2019-10-13T12:23:32.000Z
2022-03-19T10:40:29.000Z
esl/economics/accounting/__init__.py
vishalbelsare/ESL
cea6feda1e588d5f441742dbb1e4c5479b47d357
[ "Apache-2.0" ]
3
2020-03-20T04:44:06.000Z
2021-01-12T06:18:33.000Z
esl/economics/accounting/__init__.py
vishalbelsare/ESL
cea6feda1e588d5f441742dbb1e4c5479b47d357
[ "Apache-2.0" ]
10
2019-11-06T15:59:06.000Z
2021-08-09T17:28:24.000Z
from esl._esl._economics._accounting import *
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dbd9ae6e48e16e9c98f1173b8b568444c437512d
80
py
Python
backend/crypto/__init__.py
falso-de-verdade/api
48bdb4d850f12218f2750767d3cbe9860f2a26a2
[ "MIT" ]
null
null
null
backend/crypto/__init__.py
falso-de-verdade/api
48bdb4d850f12218f2750767d3cbe9860f2a26a2
[ "MIT" ]
7
2020-11-26T15:36:24.000Z
2020-12-05T03:01:00.000Z
backend/crypto/__init__.py
falso-de-verdade/api
48bdb4d850f12218f2750767d3cbe9860f2a26a2
[ "MIT" ]
1
2020-11-22T22:31:21.000Z
2020-11-22T22:31:21.000Z
from .token import generate_token from .hashing import default_backend as hasher
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91b4131ffff5d248cdfde07d448a6b4030886e89
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py
Python
jmanager/utils.py
tiliaio/jmanager-python
084f6a6c2e91d21e4b03645af2423fc0927eaf92
[ "MIT" ]
1
2020-06-17T20:01:16.000Z
2020-06-17T20:01:16.000Z
jmanager/utils.py
tiliaio/jmanager-python
084f6a6c2e91d21e4b03645af2423fc0927eaf92
[ "MIT" ]
null
null
null
jmanager/utils.py
tiliaio/jmanager-python
084f6a6c2e91d21e4b03645af2423fc0927eaf92
[ "MIT" ]
1
2020-06-25T21:14:17.000Z
2020-06-25T21:14:17.000Z
def get_module_name(module_name): if len(module_name) > 3: return module_name[:-3].replace(' ', '_')
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91b9f278aed6a8be57d95112c4126496621e17c5
195
py
Python
LintCode/001. A+B Problem.py
QinganZhao/LXXtCode
9debb10f9d33dcdb3def9d141a638b8172d25ff3
[ "MIT" ]
3
2019-01-08T02:53:44.000Z
2021-07-26T07:03:27.000Z
LintCode/001. A+B Problem.py
QinganZhao/LXXtCode
9debb10f9d33dcdb3def9d141a638b8172d25ff3
[ "MIT" ]
null
null
null
LintCode/001. A+B Problem.py
QinganZhao/LXXtCode
9debb10f9d33dcdb3def9d141a638b8172d25ff3
[ "MIT" ]
null
null
null
class Solution: """ @param a: An integer @param b: An integer @return: The sum of a and b """ def aplusb(self, a, b): # write your code here return a + b
19.5
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6
37d0f7c8279fd6e67906c06ff64fb4ba75f2ef92
116
py
Python
pydashlite/__init__.py
glowlex/pydashlite
cbc96478fa610aeae95b5584b406aa0c35b89db1
[ "MIT" ]
null
null
null
pydashlite/__init__.py
glowlex/pydashlite
cbc96478fa610aeae95b5584b406aa0c35b89db1
[ "MIT" ]
null
null
null
pydashlite/__init__.py
glowlex/pydashlite
cbc96478fa610aeae95b5584b406aa0c35b89db1
[ "MIT" ]
null
null
null
from .arrays import * from .objects import * from .collections import * from .tools import * from .strings import *
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1
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1
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0
6
37ff8aa02aaa5b23ebe2d79e09f6b75fe7869dce
247
py
Python
config.py
purin52002/RepeatColab
664317bf1f49c8d2e023a5d665e7d0de8178d683
[ "MIT" ]
null
null
null
config.py
purin52002/RepeatColab
664317bf1f49c8d2e023a5d665e7d0de8178d683
[ "MIT" ]
null
null
null
config.py
purin52002/RepeatColab
664317bf1f49c8d2e023a5d665e7d0de8178d683
[ "MIT" ]
1
2020-01-18T03:30:27.000Z
2020-01-18T03:30:27.000Z
class UserPlofile: dir_path = 'user_plofile' class ColabPath: train = 'https://colab.research.google.com/drive/1padoMj3dW0lr9nkko2384XXXD37dVhDE' evacuate = 'https://colab.research.google.com/drive/1idRwx4c_5PcxpLmj0ZIyIG9BaLXnQAS8'
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6
531d61953ef4417e6d4a360305487b7d18f341d4
178
py
Python
src/lesson04/super_calc.py
robert-abela/python
2880f6a08cd58072c4e7d4dd8f4b449f9fa5a3d9
[ "MIT" ]
2
2018-11-07T17:19:42.000Z
2019-09-21T06:15:36.000Z
src/lesson04/super_calc.py
robert-abela/python
2880f6a08cd58072c4e7d4dd8f4b449f9fa5a3d9
[ "MIT" ]
null
null
null
src/lesson04/super_calc.py
robert-abela/python
2880f6a08cd58072c4e7d4dd8f4b449f9fa5a3d9
[ "MIT" ]
1
2018-10-23T06:16:17.000Z
2018-10-23T06:16:17.000Z
def superCalc(n1, n2): print(n1 + n2) print(n1 - n2) print(n1 * n2) print(n1 / n2) n1 = int(input("enter n1: ")) n2 = int(input("enter n2: ")) superCalc(n1, n2)
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0.55618
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6
5352ea4f30ce56cb4863f2049b64da3bf6bae524
3,295
py
Python
public_apis/Categories/Entertainment/aakhilv.py
osam7a/public-apis
7b21c77999a9ed47cc8430ad6a6d6c997150dfc7
[ "MIT" ]
null
null
null
public_apis/Categories/Entertainment/aakhilv.py
osam7a/public-apis
7b21c77999a9ed47cc8430ad6a6d6c997150dfc7
[ "MIT" ]
null
null
null
public_apis/Categories/Entertainment/aakhilv.py
osam7a/public-apis
7b21c77999a9ed47cc8430ad6a6d6c997150dfc7
[ "MIT" ]
null
null
null
import aiohttp import requests class Response: def __init__(self, **kwargs): for k, v in kwargs.items(): setattr(self, k, v) class Fun: def __init__(self): self.base_url = 'https://api.aakhilv.me' # Aliasing self.wyr = self.would_you_rather self.async_wyr = self.async_would_you_rather def would_you_rather(self, limit = 1): if limit > 884: raise ValueError('Limit must be 884 or less') resp = requests.get(self.base_url + f'/fun/wyr?num={limit}') _json = resp.json() return _json if len(_json) > 1 else _json[0] def fact(self, limit = 1): if limit > 350: raise ValueError('Limit must be 883504 or less') resp = requests.get(self.base_url + f'/fun/facts?num={limit}') _json = resp.json() return _json if len(_json) > 1 else _json[0] async def async_fact(self, limit = 1): if limit > 350: raise ValueError('Limit must be 350 or less') async with aiohttp.ClientSession() as cs: async with cs.get(self.base_url + f'/fun/facts?num={limit}') as resp: _json = await resp.json() return _json if len(_json) > 1 else _json[0] async def async_would_you_rather(self, limit = 1): if limit > 884: raise ValueError('Limit must be 884 or less') async with aiohttp.ClientSession() as cs: async with cs.get(self.base_url + f'/fun/wyr?num={limit}') as resp: _json = await resp.json() return _json if len(_json) > 1 else _json[0] class Bio: def __init__(self, limit = 1): self.base_url = 'https://api.aakhilv.me' def terms(self, limit = 1): if limit > 10: raise ValueError('Limit must be 10 or less') resp = requests.get(self.base_url + f'/bio/terms?num={limit}') _json = resp.json() if len(_json) > 1: result = [] for i in _json: result.append(Response( term = i['term'], definition = i['definition'] )) return result else: return Response( term = _json[0]['term'], definition = _json[0]['definition'] ) async def async_terms(self, limit = 1): if limit > 10: raise ValueError('Limit must be 10 or less') async with aiohttp.ClientSession() as cs: async with cs.get(self.base_url + f'/bio/terms?num={limit}') as resp: _json = await resp.json() if len(_json) > 1: result = [] for i in _json: result.append(Response( term = i['term'], definition = i['definition'] )) return result else: return Response( term = _json[0]['term'], definition = _json[0]['definition'] ) if __name__ == '__main__': print(Fun().fact(5)) terms = Bio().terms() print("term: " + terms.term + " " + "definition: " + terms.definition)
35.815217
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3,295
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6
535e9d3cb399f836eab47dec87731c5e79929d2a
6,321
py
Python
h2o-py/tests/testdir_algos/automl/pyunit_automl_input.py
vishalbelsare/h2o-3
9322fb0f4c0e2358449e339a434f607d524c69fa
[ "Apache-2.0" ]
1
2022-03-15T06:08:14.000Z
2022-03-15T06:08:14.000Z
h2o-py/tests/testdir_algos/automl/pyunit_automl_input.py
vishalbelsare/h2o-3
9322fb0f4c0e2358449e339a434f607d524c69fa
[ "Apache-2.0" ]
58
2021-10-01T12:43:37.000Z
2021-12-08T22:58:43.000Z
h2o-py/tests/testdir_algos/automl/pyunit_automl_input.py
vishalbelsare/h2o-3
9322fb0f4c0e2358449e339a434f607d524c69fa
[ "Apache-2.0" ]
null
null
null
from __future__ import print_function import sys, os sys.path.insert(1, os.path.join("..","..","..")) import h2o from h2o.automl import H2OAutoML from tests import pyunit_utils as pu from _automl_utils import import_dataset max_models = 2 def test_invalid_project_name(): print("Check constructor raises error if project name is invalid") try: H2OAutoML(project_name="1nvalid") except Exception as e: assert "H2OAutoML" in str(e) assert "1nvalid" in str(e) def test_no_x_train_set_only(): print("AutoML run with x not provided and train set only") ds = import_dataset() aml = H2OAutoML(project_name="py_aml1", stopping_rounds=3, stopping_tolerance=0.001, stopping_metric="AUC", max_models=max_models, seed=1234) aml.train(y=ds.target, training_frame=ds.train) assert aml.project_name == "py_aml1", "Project name is not set" assert aml.stopping_rounds == 3, "stopping_rounds is not set to 3" assert aml.stopping_tolerance == 0.001, "stopping_tolerance is not set to 0.001" assert aml.stopping_metric == "AUC", "stopping_metrics is not set to `AUC`" assert aml.max_models == 2, "max_models is not set to 2" assert aml.seed == 1234, "seed is not set to `1234`" print("Check leaderboard") print(aml.leaderboard) def test_no_x_train_and_validation_sets(): print("AutoML run with x not provided with train and valid") ds = import_dataset() aml = H2OAutoML(project_name="py_aml2", stopping_rounds=3, stopping_tolerance=0.001, stopping_metric="AUC", max_models=max_models, seed=1234) aml.train(y=ds.target, training_frame=ds.train, validation_frame=ds.valid) assert aml.project_name == "py_aml2", "Project name is not set" assert aml.stopping_rounds == 3, "stopping_rounds is not set to 3" assert aml.stopping_tolerance == 0.001, "stopping_tolerance is not set to 0.001" assert aml.stopping_metric == "AUC", "stopping_metrics is not set to `AUC`" assert aml.max_models == 2, "max_models is not set to 2" assert aml.seed == 1234, "seed is not set to `1234`" log_df = aml.event_log.as_data_frame() warn_messages = log_df[log_df['level'] == 'WARN']['message'] assert warn_messages.str.startswith("User specified a validation frame with cross-validation still enabled").any(), \ "a warning should have been raised for using a validation frame with CV enabled" print("Check leaderboard") print(aml.leaderboard) def test_no_x_train_and_test_sets(): print("AutoML run with x not provided with train and test") ds = import_dataset() aml = H2OAutoML(project_name="py_aml3", stopping_rounds=3, stopping_tolerance=0.001, stopping_metric="AUC", max_models=max_models, seed=1234) aml.train(y=ds.target, training_frame=ds.train, leaderboard_frame=ds.test) assert aml.project_name == "py_aml3", "Project name is not set" assert aml.stopping_rounds == 3, "stopping_rounds is not set to 3" assert aml.stopping_tolerance == 0.001, "stopping_tolerance is not set to 0.001" assert aml.stopping_metric == "AUC", "stopping_metrics is not set to `AUC`" assert aml.max_models == 2, "max_models is not set to 2" assert aml.seed == 1234, "seed is not set to `1234`" print("Check leaderboard") print(aml.leaderboard) def test_no_x_train_and_validation_and_test_sets(): print("AutoML run with x not provided with train, valid, and test") ds = import_dataset() aml = H2OAutoML(project_name="py_aml4", stopping_rounds=3, stopping_tolerance=0.001, stopping_metric="AUC", max_models=max_models, seed=1234, nfolds=0) aml.train(y=ds.target, training_frame=ds.train, validation_frame=ds.valid, leaderboard_frame=ds.test) assert aml.project_name == "py_aml4", "Project name is not set" assert aml.stopping_rounds == 3, "stopping_rounds is not set to 3" assert aml.stopping_tolerance == 0.001, "stopping_tolerance is not set to 0.001" assert aml.stopping_metric == "AUC", "stopping_metrics is not set to `AUC`" assert aml.max_models == 2, "max_models is not set to 2" assert aml.seed == 1234, "seed is not set to `1234`" log_df = aml.event_log.as_data_frame() warn_messages = log_df[log_df['level'] == 'WARN']['message'] assert not warn_messages.str.startswith("User specified a validation frame with cross-validation still enabled").any(), \ "no warning should have been raised as CV was disabled" print("Check leaderboard") print(aml.leaderboard) def test_no_x_y_as_idx_train_and_validation_and_test_sets(): print("AutoML run with x not provided and y as col idx with train, valid, and test") ds = import_dataset() aml = H2OAutoML(project_name="py_aml5", stopping_rounds=3, stopping_tolerance=0.001, stopping_metric="AUC", max_models=max_models, seed=1234) aml.train(y=ds.target_idx, training_frame=ds.train, validation_frame=ds.valid, leaderboard_frame=ds.test) assert aml.project_name == "py_aml5", "Project name is not set" assert aml.stopping_rounds == 3, "stopping_rounds is not set to 3" assert aml.stopping_tolerance == 0.001, "stopping_tolerance is not set to 0.001" assert aml.stopping_metric == "AUC", "stopping_metrics is not set to `AUC`" assert aml.max_models == 2, "max_models is not set to 2" assert aml.seed == 1234, "seed is not set to `1234`" print("Check leaderboard") print(aml.leaderboard) def test_frames_can_be_passed_as_key(): print("Check that all AutoML frames can be passed as keys.") ds = import_dataset() kw_args = [ dict(training_frame=ds.train.frame_id), dict(training_frame=ds.train, validation_frame=ds.valid.frame_id), dict(training_frame=ds.train, blending_frame=ds.valid.frame_id), dict(training_frame=ds.train, leaderboard_frame=ds.test.frame_id), ] for kwargs in kw_args: aml = H2OAutoML(project_name="py_aml_frames_as_keys", seed=1, max_models=1, nfolds=0) aml.train(y=ds.target, **kwargs) h2o.remove(aml) pu.run_tests([ test_invalid_project_name, test_no_x_train_set_only, test_no_x_train_and_validation_sets, test_no_x_train_and_test_sets, test_no_x_train_and_validation_and_test_sets, test_no_x_y_as_idx_train_and_validation_and_test_sets, test_frames_can_be_passed_as_key, ])
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6,321
4.341317
0.123753
0.062069
0.055172
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0.775172
0.736552
0.718161
0
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0.167379
6,321
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false
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6
5364ec98ee652d5dfd5affdff9b4e816eefd4ca1
96
py
Python
backend/app/app/models/__init__.py
levakin/netmon
7d071824a16084be0dc87d85405ab7a27af3d2c1
[ "Apache-2.0" ]
1
2020-07-14T06:21:59.000Z
2020-07-14T06:21:59.000Z
backend/app/app/models/__init__.py
levakin/netmon
7d071824a16084be0dc87d85405ab7a27af3d2c1
[ "Apache-2.0" ]
null
null
null
backend/app/app/models/__init__.py
levakin/netmon
7d071824a16084be0dc87d85405ab7a27af3d2c1
[ "Apache-2.0" ]
1
2021-11-28T10:32:33.000Z
2021-11-28T10:32:33.000Z
from .machine import Machine from .machine_process import MachineProcess from .user import User
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6
5364f42d514af2198a727acebba0ae482e318051
2,071
py
Python
tests/terraform/checks/resource/aws/test_ALBListenerHTTPS.py
rajivshah3/checkov
c6a6eca21bedae50574814c92973b65d2d963581
[ "Apache-2.0" ]
1
2021-02-16T15:07:29.000Z
2021-02-16T15:07:29.000Z
tests/terraform/checks/resource/aws/test_ALBListenerHTTPS.py
rajivshah3/checkov
c6a6eca21bedae50574814c92973b65d2d963581
[ "Apache-2.0" ]
null
null
null
tests/terraform/checks/resource/aws/test_ALBListenerHTTPS.py
rajivshah3/checkov
c6a6eca21bedae50574814c92973b65d2d963581
[ "Apache-2.0" ]
null
null
null
import unittest from checkov.terraform.checks.resource.aws.ALBListenerHTTPS import check from checkov.common.models.enums import CheckResult class TestALBListenerHTTPS(unittest.TestCase): def test_success_redirect(self): resource_conf = {'load_balancer_arn': ['${aws_lb.front_end.arn}'], 'port': ['80'], 'protocol': ['HTTP'], 'default_action': [{'type': ['redirect'], 'redirect': [ {'port': ['443'], 'protocol': ['HTTPS'], 'status_code': ['HTTP_301']}]}]} scan_result = check.scan_resource_conf(conf=resource_conf) self.assertEqual(CheckResult.PASSED, scan_result) def test_success(self): resource_conf = {'load_balancer_arn': ['${aws_lb.front_end.arn}'], 'port': ['443'], 'protocol': ['HTTPS']} scan_result = check.scan_resource_conf(conf=resource_conf) self.assertEqual(CheckResult.PASSED, scan_result) def test_nlb_tcp_success(self): resource_conf = {'load_balancer_arn': ['${aws_lb.front_end.arn}'], 'port': ['22'], 'protocol': ['TCP']} scan_result = check.scan_resource_conf(conf=resource_conf) self.assertEqual(CheckResult.PASSED, scan_result) def test_nlb_udp_success(self): resource_conf = {'load_balancer_arn': ['${aws_lb.front_end.arn}'], 'port': ['53'], 'protocol': ['UDP']} scan_result = check.scan_resource_conf(conf=resource_conf) self.assertEqual(CheckResult.PASSED, scan_result) def test_nlb_tcp_udp_success(self): resource_conf = {'load_balancer_arn': ['${aws_lb.front_end.arn}'], 'port': ['53'], 'protocol': ['TCP_UDP']} scan_result = check.scan_resource_conf(conf=resource_conf) self.assertEqual(CheckResult.PASSED, scan_result) def test_failure(self): resource_conf = {'load_balancer_arn': ['${aws_lb.front_end.arn}'], 'port': ['80'], 'protocol': ['HTTP']} scan_result = check.scan_resource_conf(conf=resource_conf) self.assertEqual(CheckResult.FAILED, scan_result) if __name__ == '__main__': unittest.main()
42.265306
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false
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1
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0
0
0
0
6
727be39c90a71ec9908777f6a8751ba14f6a4f10
57
py
Python
test/__main__.py
fantastic001/papertrack
f5a13ccabf1836a60020eb65e2e998b6ba33d8bd
[ "MIT" ]
null
null
null
test/__main__.py
fantastic001/papertrack
f5a13ccabf1836a60020eb65e2e998b6ba33d8bd
[ "MIT" ]
null
null
null
test/__main__.py
fantastic001/papertrack
f5a13ccabf1836a60020eb65e2e998b6ba33d8bd
[ "MIT" ]
null
null
null
import unittest from test import * unittest.main()
7.125
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7
57
5.714286
0.714286
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1
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6
72954853ffbb71be5149f5423f44905f30330f83
3,665
py
Python
DrivingPerformance/general/stopPerf.py
ahmedkrmn/AirSim
527c8d794df37d5714cfe661a2618945123c4d9c
[ "MIT" ]
null
null
null
DrivingPerformance/general/stopPerf.py
ahmedkrmn/AirSim
527c8d794df37d5714cfe661a2618945123c4d9c
[ "MIT" ]
4
2020-03-05T15:42:17.000Z
2020-03-19T05:37:58.000Z
DrivingPerformance/rank1/road4R/stopPerf.py
ahmedkrmn/AirSim
527c8d794df37d5714cfe661a2618945123c4d9c
[ "MIT" ]
null
null
null
# Helper function to get the stop sign performance with moving left. def StopSignLeft(stopPlace, flag, x, y, Speed, prev_perf): place = stopPlace[1][0] Boundary1 = [[stopPlace[0][0], stopPlace[0][1]], [place-13, place-3]] Boundary2 = [[stopPlace[0][0], stopPlace[0][1]], [place-36, place-26]] Boundary3 = [[stopPlace[0][0], stopPlace[0][1]], [place-51, place-41]] Boundary4 = [[stopPlace[0][0], stopPlace[0][1]], [place-66, place-56]] if(stopPlace[0][0] <= x <= stopPlace[0][1] and stopPlace[1][0] <= y <= stopPlace[1][1]): flag = True if(flag and Boundary1[0][0] <= x <= Boundary1[0][1] and Boundary1[1][0] <= y <= Boundary1[1][1] and Speed>5 and prev_perf<2): return 2,flag if(flag and Boundary2[0][0] <= x <= Boundary2[0][1] and Boundary2[1][0] <= y <= Boundary2[1][1] and Speed > 5 and prev_perf < 3): return 3,flag if(flag and Boundary3[0][0] <= x <= Boundary3[0][1] and Boundary3[1][0] <= y <= Boundary3[1][1] and Speed > 5 and prev_perf < 4): return 4,flag if(flag and Boundary4[0][0] <= x <= Boundary4[0][1] and Boundary4[1][0] <= y <= Boundary4[1][1] and Speed > 5 and prev_perf < 5): return 5,flag return prev_perf,flag # Helper function to get the stop sign performance with moving left. def StopSignRight(stopPlace, flag, x, y, Speed, prev_perf): place = stopPlace[1][1] Boundary1 = [[stopPlace[0][0], stopPlace[0][1]], [place+3, place+13]] Boundary2 = [[stopPlace[0][0], stopPlace[0][1]], [place+13, place+36]] Boundary3 = [[stopPlace[0][0], stopPlace[0][1]], [place+36, place+51]] Boundary4 = [[stopPlace[0][0], stopPlace[0][1]], [place+51, place+100]] if(stopPlace[0][0] <= x <= stopPlace[0][1] and stopPlace[1][0] <= y <= stopPlace[1][1]): flag = True if(flag and Boundary1[0][0] <= x <= Boundary1[0][1] and Boundary1[1][0] <= y <= Boundary1[1][1] and Speed>5 and prev_perf<2): return 2,flag if(flag and Boundary2[0][0] <= x <= Boundary2[0][1] and Boundary2[1][0] <= y <= Boundary2[1][1] and Speed > 5 and prev_perf < 3): return 3,flag if(flag and Boundary3[0][0] <= x <= Boundary3[0][1] and Boundary3[1][0] <= y <= Boundary3[1][1] and Speed > 5 and prev_perf < 4): return 4,flag if(flag and Boundary4[0][0] <= x <= Boundary4[0][1] and Boundary4[1][0] <= y <= Boundary4[1][1] and Speed > 5 and prev_perf < 5): return 5,flag return prev_perf,flag # Helper function to get the stop sign performance with moving Down. def StopSignDown(stopPlace, flag, x, y, Speed, prev_perf): place = stopPlace[0][0] Boundary1 = [[place-13, place-3], [stopPlace[1][0], stopPlace[1][1]]] Boundary2 = [[place-36, place-13], [stopPlace[1][0], stopPlace[1][1]]] Boundary3 = [[place-51, place-36], [stopPlace[1][0], stopPlace[1][1]]] Boundary4 = [[place-100, place-51], [stopPlace[1][0], stopPlace[1][1]]] if(stopPlace[0][0] <= x <= stopPlace[0][1] and stopPlace[1][0] <= y <= stopPlace[1][1]): flag = True if(flag and Boundary1[0][0] <= x <= Boundary1[0][1] and Boundary1[1][0] <= y <= Boundary1[1][1] and Speed>5 and prev_perf<2): return 2,flag if(flag and Boundary2[0][0] <= x <= Boundary2[0][1] and Boundary2[1][0] <= y <= Boundary2[1][1] and Speed > 5 and prev_perf < 3): return 3,flag if(flag and Boundary3[0][0] <= x <= Boundary3[0][1] and Boundary3[1][0] <= y <= Boundary3[1][1] and Speed > 5 and prev_perf < 4): return 4,flag if(flag and Boundary4[0][0] <= x <= Boundary4[0][1] and Boundary4[1][0] <= y <= Boundary4[1][1] and Speed > 5 and prev_perf < 5): return 5,flag return prev_perf,flag
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72c6bec97a21582369fc540a78d172be5fcee071
48,276
py
Python
parsetab.py
jtyuan/racetrack
b2ab4481bff71cf68a2e206a52847273aa62a599
[ "BSD-3-Clause" ]
null
null
null
parsetab.py
jtyuan/racetrack
b2ab4481bff71cf68a2e206a52847273aa62a599
[ "BSD-3-Clause" ]
null
null
null
parsetab.py
jtyuan/racetrack
b2ab4481bff71cf68a2e206a52847273aa62a599
[ "BSD-3-Clause" ]
null
null
null
# parsetab.py # This file is automatically generated. Do not edit. _tabversion = '3.2' _lr_method = 'LALR' _lr_signature = '8HR\xee\xd8K\xc1gX\xbc\x8cr\x1fy\xf4#' _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 = {'decl':([0,1,187,244,],[1,1,1,1,]),'statements':([93,117,124,294,313,337,346,350,354,364,],[114,174,180,320,334,352,356,359,362,366,]),'type_enums':([125,184,],[183,243,]),'pairsx':([50,99,],[76,123,]),'type_members':([108,129,133,],[132,188,195,]),'statements_inner':([115,157,],[146,213,]),'enumeration':([115,143,149,150,153,157,164,172,204,218,219,221,222,223,224,226,227,228,229,230,231,232,233,234,235,236,247,253,304,306,307,311,344,347,],[155,155,155,155,155,155,155,155,155,155,155,155,155,155,155,155,155,155,155,155,155,155,155,155,155,155,293,155,155,155,155,155,155,155,]),'file':([0,],[5,]),'type_state':([130,191,],[191,191,]),'type_member':([108,129,133,],[133,133,133,]),'type_or_void':([108,129,133,],[134,134,134,]),'param':([49,53,94,103,126,252,],[70,70,70,70,70,70,]),'aexpr':([115,143,149,150,153,157,164,172,204,218,219,221,222,223,224,226,227,228,229,230,231,232,233,234,235,236,253,304,306,307,311,344,347,],[148,148,148,148,148,148,148,148,148,148,148,148,148,148,148,148,148,148,148,148,148,148,148,148,148,148,148,148,148,148,148,148,148,]),'literal':([115,143,149,150,153,157,164,172,204,218,219,221,222,223,224,226,227,228,229,230,231,232,233,234,235,236,253,304,306,307,311,344,347,],[163,163,163,163,163,163,163,163,163,163,163,163,163,163,163,163,163,163,163,163,163,163,163,163,163,163,163,163,163,163,163,163,163,]),'params':([49,53,94,103,126,252,],[71,78,116,127,186,296,]),'statement':([115,157,],[157,157,]),'var':([113,115,131,143,149,150,153,157,164,172,200,204,209,211,212,216,218,219,221,222,223,224,226,227,228,229,230,231,232,233,234,235,236,237,238,253,304,306,307,311,312,344,347,],[141,158,193,158,158,158,158,158,158,158,256,158,263,265,266,268,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,287,288,158,158,158,158,158,333,158,158,]),'if_statement':([115,157,350,],[159,159,360,]),'type':([0,1,27,34,36,39,40,49,53,67,85,94,103,108,115,126,129,133,143,147,149,150,153,157,164,172,187,204,208,218,219,221,222,223,224,226,227,228,229,230,231,232,233,234,235,236,244,252,253,303,304,306,307,310,311,322,344,347,],[10,10,42,54,56,59,60,72,72,92,107,72,72,135,160,72,135,135,160,203,160,160,160,160,160,160,10,160,262,160,160,160,160,160,160,160,160,160,160,160,160,160,160,160,160,160,10,298,160,325,160,160,160,331,160,339,160,160,]),'empty':([0,1,31,42,45,47,49,53,54,55,56,59,60,64,88,90,94,95,100,103,108,125,126,129,130,133,141,182,184,187,191,193,196,204,219,244,252,293,304,306,311,321,322,323,325,],[11,11,51,51,66,51,73,73,51,51,51,51,51,66,66,66,73,51,51,73,136,185,73,136,192,136,51,51,185,11,192,51,51,258,258,11,297,51,258,258,258,51,340,51,51,]),'declsx':([0,1,187,244,],[12,26,12,12,]),'func_decl':([0,1,187,244,],[6,6,6,6,]),'func_def':([0,1,187,244,],[14,14,14,14,]),'idents':([28,35,63,109,138,198,254,],[44,55,87,138,197,254,301,]),'void':([0,1,108,129,133,187,244,],[15,15,137,137,137,15,15,]),'identx':([45,64,88,90,],[65,89,111,112,]),'type_states':([130,191,],[190,249,]),'pair':([50,99,],[77,77,]),'type_enum':([125,184,],[184,184,]),'typestr':([0,1,27,34,36,39,40,49,53,67,85,94,103,108,115,126,129,133,143,147,149,150,153,157,164,172,187,204,208,218,219,221,222,223,224,226,227,228,229,230,231,232,233,234,235,236,244,252,253,303,304,306,307,310,311,322,344,347,],[19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,]),'types':([252,322,],[299,338,]),'pairs':([31,42,47,54,55,56,59,60,95,100,141,182,193,196,293,321,323,325,],[48,62,68,79,80,82,83,84,117,124,199,241,250,251,319,337,341,342,]),'ident':([0,1,10,15,27,28,29,30,34,35,36,37,39,40,41,45,49,50,53,63,64,67,72,85,88,90,94,97,98,99,103,108,109,110,113,115,125,126,129,130,131,133,134,138,143,147,149,150,153,157,160,164,172,184,187,191,198,200,204,205,208,209,211,212,215,216,218,219,220,221,222,223,224,226,227,228,229,230,231,232,233,234,235,236,237,238,244,247,252,253,254,298,303,304,306,307,310,311,312,322,344,347,],[21,21,31,33,21,43,46,47,21,43,21,57,21,21,61,64,21,74,21,43,64,21,96,21,64,64,21,119,120,74,21,21,43,139,140,167,182,21,21,189,140,21,196,43,167,21,167,167,167,167,214,167,167,182,21,189,43,140,167,261,21,140,140,140,267,140,167,167,271,167,167,167,167,167,167,167,167,167,167,167,167,167,167,167,140,140,21,292,21,167,43,96,21,167,167,167,21,167,140,21,167,167,]),'expr':([115,143,149,150,153,157,164,172,204,218,219,221,222,223,224,226,227,228,229,230,231,232,233,234,235,236,253,304,306,307,311,344,347,],[168,201,206,207,210,168,217,239,259,269,259,272,273,274,275,276,277,278,279,280,281,282,283,284,285,286,300,259,259,329,259,355,357,]),'exprs':([204,219,304,306,311,],[260,270,326,327,332,]),'decls':([0,187,244,],[24,245,290,]),} _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' -> file","S'",1,None,None,None), ('file -> decls','file',1,'p_file','/Users/lx/Courses/Computer Architecture/gem5-jty/src/mem/slicc/parser.py',218), ('empty -> <empty>','empty',0,'p_empty','/Users/lx/Courses/Computer Architecture/gem5-jty/src/mem/slicc/parser.py',222), ('decls -> declsx','decls',1,'p_decls','/Users/lx/Courses/Computer Architecture/gem5-jty/src/mem/slicc/parser.py',225), ('declsx -> decl declsx','declsx',2,'p_declsx__list','/Users/lx/Courses/Computer Architecture/gem5-jty/src/mem/slicc/parser.py',229), ('declsx -> empty','declsx',1,'p_declsx__none','/Users/lx/Courses/Computer Architecture/gem5-jty/src/mem/slicc/parser.py',239), ('decl -> PROTOCOL STRING SEMI','decl',3,'p_decl__protocol','/Users/lx/Courses/Computer Architecture/gem5-jty/src/mem/slicc/parser.py',243), ('decl -> 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tvsched/application/models/auth.py
astsu-dev/tv-schedule
1cea36147e66b7163df6f7098cfda4d43f3bdde2
[ "MIT" ]
null
null
null
tvsched/application/models/auth.py
astsu-dev/tv-schedule
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[ "MIT" ]
null
null
null
tvsched/application/models/auth.py
astsu-dev/tv-schedule
1cea36147e66b7163df6f7098cfda4d43f3bdde2
[ "MIT" ]
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null
null
from dataclasses import dataclass import uuid from tvsched.entities.auth import Role @dataclass(frozen=True) class UserAdd: """Data for register user with USER role.""" username: str password: str @dataclass(frozen=True) class UserWithRoleAdd: """Data for register user with specific role.""" username: str password: str role: Role @dataclass(frozen=True) class UserLogIn: """Data for log in user""" username: str password: str @dataclass(frozen=True) class UserInRepoAdd: """Data for adding user to repo.""" username: str password_hash: str role: Role @dataclass(frozen=True) class UserInRepo: """Data in repo about user.""" id: uuid.UUID username: str password_hash: str role: Role @dataclass(frozen=True) class UserInToken: """Data about user in stored in token.""" id: uuid.UUID role: Role
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EdgyBoneTools/BoneScripts/FlipBones.py
herr-edgy/EdgyBoneTools
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[ "MIT" ]
null
null
null
EdgyBoneTools/BoneScripts/FlipBones.py
herr-edgy/EdgyBoneTools
5ddaa57e85ac2795f9f6e7c1b936b1d6251d2c91
[ "MIT" ]
null
null
null
EdgyBoneTools/BoneScripts/FlipBones.py
herr-edgy/EdgyBoneTools
5ddaa57e85ac2795f9f6e7c1b936b1d6251d2c91
[ "MIT" ]
null
null
null
import bpy import math from math import radians from mathutils import Matrix def FlipBoneXY(): bones = bpy.context.selected_editable_bones if len(bones) == 0: raise RuntimeError("No bones selected in edit mode!") bpy.context.scene.transform_orientation_slots[0].type = 'NORMAL' bpy.context.scene.tool_settings.transform_pivot_point = 'INDIVIDUAL_ORIGINS' # for bone in bones: # roll = bone.roll # bone.roll = roll + 0.5 * math.pi for bone in bones: old_head = bone.head.copy() R = Matrix.Rotation(radians(180), 4, bone.z_axis.normalized()) bone.transform(R, roll=True) offset_vec = -(bone.head - old_head) bone.head += offset_vec bone.tail += offset_vec def FlipBoneYZ(): bones = bpy.context.selected_editable_bones if len(bones) == 0: raise RuntimeError("No bones selected in edit mode!") bpy.context.scene.transform_orientation_slots[0].type = 'NORMAL' bpy.context.scene.tool_settings.transform_pivot_point = 'INDIVIDUAL_ORIGINS' # for bone in bones: # roll = bone.roll # bone.roll = roll + 0.5 * math.pi for bone in bones: old_head = bone.head.copy() R = Matrix.Rotation(radians(180), 4, bone.x_axis.normalized()) bone.transform(R, roll=True) offset_vec = -(bone.head - old_head) bone.head += offset_vec bone.tail += offset_vec def FlipBoneZX(): bones = bpy.context.selected_editable_bones if len(bones) == 0: raise RuntimeError("No bones selected in edit mode!") bpy.context.scene.transform_orientation_slots[0].type = 'NORMAL' bpy.context.scene.tool_settings.transform_pivot_point = 'INDIVIDUAL_ORIGINS' # for bone in bones: # roll = bone.roll # bone.roll = roll + 0.5 * math.pi for bone in bones: old_head = bone.head.copy() R = Matrix.Rotation(radians(180), 4, bone.y_axis.normalized()) bone.transform(R, roll=True) offset_vec = -(bone.head - old_head) bone.head += offset_vec bone.tail += offset_vec def RollBone90(): bones = bpy.context.selected_editable_bones if len(bones) == 0: raise RuntimeError("No bones selected in edit mode!") for bone in bones: roll = bone.roll print(roll) newRoll = roll + 0.5 * math.pi print(newRoll) if(newRoll > 2.0 * math.pi): print(newRoll) newRoll = newRoll - 2.0 * math.pi bone.roll = newRoll
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quantumnetworks/utils/__init__.py
Phionx/quantumnetworks
9e89cac61cdbc1885689336cd31bb5f7dbdde22a
[ "MIT" ]
7
2021-11-22T18:45:00.000Z
2022-02-21T16:01:10.000Z
quantumnetworks/utils/__init__.py
Phionx/quantumnetworks
9e89cac61cdbc1885689336cd31bb5f7dbdde22a
[ "MIT" ]
35
2021-09-29T08:05:35.000Z
2022-02-20T02:11:15.000Z
quantumnetworks/utils/__init__.py
Phionx/quantumnetworks
9e89cac61cdbc1885689336cd31bb5f7dbdde22a
[ "MIT" ]
1
2022-02-01T18:05:34.000Z
2022-02-01T18:05:34.000Z
""" Utils """ from .visualization import *
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notebooks-text-format/gan_tricks.py
arpitvaghela/probml-notebooks
32ecb309dd474b989fd1c6ce4ad6dab7a25bbead
[ "MIT" ]
166
2021-07-16T17:33:09.000Z
2022-03-30T03:35:34.000Z
notebooks-text-format/gan_tricks.py
arpitvaghela/probml-notebooks
32ecb309dd474b989fd1c6ce4ad6dab7a25bbead
[ "MIT" ]
29
2021-07-21T16:31:51.000Z
2022-03-31T19:50:13.000Z
notebooks-text-format/gan_tricks.py
arpitvaghela/probml-notebooks
32ecb309dd474b989fd1c6ce4ad6dab7a25bbead
[ "MIT" ]
48
2021-07-17T08:26:18.000Z
2022-03-31T03:36:18.000Z
# -*- coding: utf-8 -*- # --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.11.3 # kernelspec: # display_name: Python 3 # name: python3 # --- # + [markdown] id="vbK-ql3_xq5D" # # 5+n tricks for GANs # + [markdown] id="RzqOA0kAxTtH" # The idea behind GANs is to train an implicit model that can produce samples $x' \sim p_g$ that looks like samples taken from the actual data distribution $x \sim p_{data}$ by always trying to fool a discriminator which attempts to differentiate between real and generated samples. The generator and the discriminator are then trained jointly by playing the following min-max game. # # $$ # \min_{G} \max_{D} \mathbb{E}_{x \sim q_{data}}[\log D(x)] +\mathbb{E}_{x \sim p_g}[\log(1- D(x))] # $$ # # However, it might not be practical to compute the following min-max game to see this consider a fixed generator, the above min-max game becomes the following optimisation problem # # $$\max_{D} \mathbb{E}_{x \sim q_{data}}[\log D(x)] +\mathbb{E}_{x \sim p_g}[\log(1- D(x))] $$ # # it can be shown that the optimal discriminator is # # $$D_g^*(x)= \frac{p_{g}(x)}{p_{g}(x)+p_{data}(x)}$$ # # and the derivative of our discriminator $D(x)$ is # # $$\nabla D^*_g(x) = \frac{1}{p_{data}(x)}\nabla_xp_{data}(x) - \frac{1}{p_g(x)}\nabla_xp_g(x)$$ # # If $p_g$ and $p_{data}$ do not share the same support, the derivative of our discriminator $D(x)$ becomes unbounded and thus ill-defined. This means we cannot use gradient descent in such a case to find the equilibrium point of our min-max game. However, for datasets that lies on some lower-dimensional manifold, such as natural images, this is often the case because the manifold will only overlap with a distribution $p_g(x)$, where $p_g(x)$ has non-zero measure everywhere, on the manifold. This tutorial thus outlines some basic techniques that can address this and other issues surrounding GAN training. # + [markdown] id="N3beEBwbxwDW" # ## 1. Instance noise to address the problem of disjoint support # # From: [Sønderby, C. K., Caballero, J., Theis, L., Shi, W., & Huszár, F. (2016). Amortised map inference for image super-resolution. arXiv preprint arXiv:1610.04490](https://arxiv.org/pdf/1610.04490.pdf) # # One simple approach to addressing the disjoint support problem is to apply some instance noise to both the real and fake samples. The noise term can further be reduced/annealed over time to improve performance. # # ``` # real = real + alpha*torch.randn_like(real) # fake = fake + alpha*torch.randn_like(fake) # ``` # + [markdown] id="vnN-NbY4xynA" # ## 2. Use Spectral Normalisation # # From: [Miyato, T., Kataoka, T., Koyama, M., & Yoshida, Y. (2018). Spectral normalization for generative adversarial networks. arXiv preprint arXiv:1802.05957.](https://arxiv.org/pdf/1802.05957.pdf) # # Another approach of addressing the issue of non-computable or intractable statistics a GAN might provide is to add regularity conditions such as Lipschitz continuity on the discriminator, one way of doing this is to use spectral normalisations, which use power iteration to ensure that the discriminator is Lipschitz continuous by normalising the weight matrix of the neural network by its largest singular value. # # $$ # W_{SN} = \frac{W}{\sigma(W)}, \text{where } \sigma(W) = \frac{||Wh||_2}{||h||_2}$$ # # ``` # from torch import nn # from torch.nn.utils.parametrizations import spectral_norm # m = spectral_norm(nn.Linear(20, 40)) # ``` # + [markdown] id="beoIcKE8x5Ni" # ## 3. Use refinement techniques to incorporate discriminator information post-training # # From : [Azadi, S., Olsson, C., Darrell, T., Goodfellow, I., & Odena, A. (2018). Discriminator rejection sampling. arXiv preprint arXiv:1810.06758.](https://arxiv.org/pdf/1810.06758) # # One simple approach to improving the quality of samples from a GAN is to use the truncation trick which samples from a truncated normal distribution instead of a normal distribution to avoid sampling at the tails reducing the chance of sampling from regions that lead to poorer sample quality however also reduces the diversity of the samples attained. # # ``` # from scipy.stats import truncnorm # threshold = 1 # values = truncnorm.rvs(-threshold, threshold, size=(64, 100)) # ``` # + [markdown] id="Q2ChVYh_yGKA" # A more principled approach is to use the discriminator to perform rejection sampling using the discriminator but that is too expensive. A better approach is to use discriminator driven latent sampling [DDLS](https://arxiv.org/pdf/2003.06060) or discriminator gradient flow [DGFlow](https://arxiv.org/abs/2012.00780) that uses Langevin sampling to sample from the discriminator. # # ``` # def _velocity(z_img, D, G): # z_img_t = z_img.clone() # z_img_t.requires_grad_(True) # if z_img_t.grad is not None: # z_img_t.grad.zero_() # d_score = D(G(z_img_t)) # d_score.backward(torch.ones_like(d_score).to(z_img.device)) # return z_img_t.grad.data # # def refine_samples(z_img, G, D, eta=.01, noise_factor=0., # num_steps=200): # for t in tqdm(range(1, num_steps)): # v = _velocity(z_img, D, G) # z_img = z_img.data + eta * v + np.sqrt(2*eta) * noise_factor * torch.randn_like(z_img) # return G(z_img), z_img # ``` # + [markdown] id="s42aCzJdyItZ" # 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# + [markdown] id="dF7wej9wyagS" # ## 4. Consider using latent optimisation to incorporate discriminator information during training # # From : [Wu, Y., Donahue, J., Balduzzi, D., Simonyan, K., & Lillicrap, T. (2019). Logan: Latent optimisation for generative adversarial networks. arXiv preprint arXiv:1912.00953.](https://arxiv.org/pdf/1912.00953.pdf) # # Another way of incorporating the discriminator is to sample in the gradient direction rather than from random samples $z \sim p(z)$ from the prior. This can be done by first sampling a random $z$ and then computing $\nabla_z D(G(z))$ and taking one gradient step in that direction generated as such # # ``` # noise = noise.view(*noise.shape, 1, 1) # d_score = D(G(noise)) # d_score.backward(torch.ones_like(d_score).to(noise.device)) # noise = noise + alpha*d_score.grad.data # ``` # + [markdown] id="6aYS47mmyebG" # This results in better samples and more stable GAN training as it adds a symplectic gradient adjustment into the optimisation procedure, reducing the negative effects of cycling. # + [markdown] id="NbFAvg2Pyg4p" # ## 5. Top-k samples for discriminator training to incorporate discriminator information during training # # From: [Sinha, S., Zhao, Z., Goyal, A., Raffel, C., & Odena, A. (2020). Top-k training of gans: Improving gan performance by throwing away bad samples. arXiv preprint arXiv:2002.06224.](https://arxiv.org/pdf/2002.06224.pdf) # # The discriminator can also be used during training to take the top_k samples identified by the discriminator during training to compute the loss for the generator. This is because the bottom k-samples produce misleading updates, that point away from the data manifold. # # ``` # topk_predictions = torch.topk( predictions, k ) # ``` # + [markdown] id="5EXossN1ykWi" # The value of k is annealed through the training process, as the gan gets better and the discriminator gets more informative we can increase the value of k.
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feafba27e2318b4bcb303712dcb12664aa9444c6
35
py
Python
awpy/__init__.py
kamnsv/awpy
132a0d75d76553e8ad52c5e1ea7e942e12f52ad6
[ "MIT" ]
18
2022-02-04T00:06:43.000Z
2022-03-23T00:55:18.000Z
awpy/__init__.py
kamnsv/awpy
132a0d75d76553e8ad52c5e1ea7e942e12f52ad6
[ "MIT" ]
7
2022-02-04T00:06:48.000Z
2022-02-23T16:50:19.000Z
awpy/__init__.py
kamnsv/awpy
132a0d75d76553e8ad52c5e1ea7e942e12f52ad6
[ "MIT" ]
4
2022-02-05T04:22:53.000Z
2022-03-20T12:56:41.000Z
from awpy.parser import DemoParser
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feb372918686f3d53517a56b1e2edf88824404cc
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py
Python
network/v5/__init__.py
houzeyu2683/DIWM
d31e5bd7bc52215c9440d13046304dfef0b25463
[ "MIT" ]
null
null
null
network/v5/__init__.py
houzeyu2683/DIWM
d31e5bd7bc52215c9440d13046304dfef0b25463
[ "MIT" ]
null
null
null
network/v5/__init__.py
houzeyu2683/DIWM
d31e5bd7bc52215c9440d13046304dfef0b25463
[ "MIT" ]
null
null
null
from .model import * from .machine import *
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py
Python
env/lib/python2.7/sre_compile.py
essien1990/Flask-Mysqldb
e0917b90c45a0aaf922bfa672ddb479cb450a02d
[ "MIT" ]
null
null
null
env/lib/python2.7/sre_compile.py
essien1990/Flask-Mysqldb
e0917b90c45a0aaf922bfa672ddb479cb450a02d
[ "MIT" ]
6
2020-06-05T22:57:03.000Z
2021-06-10T18:48:39.000Z
env/lib/python2.7/sre_compile.py
essien1990/Flask-Mysqldb
e0917b90c45a0aaf922bfa672ddb479cb450a02d
[ "MIT" ]
1
2021-12-16T17:09:52.000Z
2021-12-16T17:09:52.000Z
XSym 0078 270dc93767ee01f3df4e18ba5a05669f /Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/sre_compile.py
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22e073034c450e34ebbcbff8a89c350bce34306b
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py
Python
src/onegov/swissvotes/collections/__init__.py
politbuero-kampagnen/onegov-cloud
20148bf321b71f617b64376fe7249b2b9b9c4aa9
[ "MIT" ]
null
null
null
src/onegov/swissvotes/collections/__init__.py
politbuero-kampagnen/onegov-cloud
20148bf321b71f617b64376fe7249b2b9b9c4aa9
[ "MIT" ]
null
null
null
src/onegov/swissvotes/collections/__init__.py
politbuero-kampagnen/onegov-cloud
20148bf321b71f617b64376fe7249b2b9b9c4aa9
[ "MIT" ]
null
null
null
from onegov.swissvotes.collections.pages import TranslatablePageCollection from onegov.swissvotes.collections.votes import SwissVoteCollection __all__ = ( 'SwissVoteCollection', 'TranslatablePageCollection', )
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22f260f81c9617087e895e003a8481412a5736e5
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py
Python
tests/magnus/test_nodes.py
vishalbelsare/magnus-core
77a4eb8ecca70b276b48e5f7a11166f7c3196f6b
[ "Apache-2.0" ]
3
2022-03-15T15:19:14.000Z
2022-03-29T02:38:27.000Z
tests/magnus/test_nodes.py
vishalbelsare/magnus-core
77a4eb8ecca70b276b48e5f7a11166f7c3196f6b
[ "Apache-2.0" ]
18
2022-02-02T08:28:25.000Z
2022-03-30T12:38:40.000Z
tests/magnus/test_nodes.py
vishalbelsare/magnus-core
77a4eb8ecca70b276b48e5f7a11166f7c3196f6b
[ "Apache-2.0" ]
2
2022-01-24T11:10:09.000Z
2022-03-15T15:19:46.000Z
import os import pytest from magnus import defaults # pylint: disable=import-error from magnus import nodes # pylint: disable=import-error def test_base_node_command_friendly_name_replaces_whitespace_with_character(): node = nodes.BaseNode(name='test', internal_name='test', config='test_config', execution_type=None) assert node.command_friendly_name() == 'test' node.internal_name = 'test ' assert node.command_friendly_name() == 'test' + defaults.COMMAND_FRIENDLY_CHARACTER def test_base_node_get_internal_name_from_command_name_replaces_character_with_whitespace(): assert nodes.BaseNode.get_internal_name_from_command_name('test') == 'test' assert nodes.BaseNode.get_internal_name_from_command_name('test%') == 'test ' def test_base_node_get_step_log_name_returns_internal_name_if_no_map_variable(): node = nodes.BaseNode(name='test', internal_name='test', config='test_config', execution_type=None) assert node.get_step_log_name() == 'test' def test_base_node_get_step_log_name_returns_map_modified_internal_name_if_map_variable(): node = nodes.BaseNode(name='test', internal_name='test.' + defaults.MAP_PLACEHOLDER, config='test_config', execution_type=None) assert node.get_step_log_name(map_variable={'map_key': 'a'}) == 'test.a' def test_base_node_get_step_log_name_returns_map_modified_internal_name_if_map_variable_multiple(): node = nodes.BaseNode( name='test', internal_name='test.' + defaults.MAP_PLACEHOLDER + '.step.' + defaults.MAP_PLACEHOLDER, config='test_config', execution_type=None) assert node.get_step_log_name(map_variable={'map_key': 'a', 'map_key1': 'b'}) == 'test.a.step.b' def test_base_node_get_branch_log_name_returns_null_if_not_set(): node = nodes.BaseNode(name='test', internal_name='test', config='test_config', execution_type=None) assert node.get_branch_log_name() is None def test_base_node_get_branch_log_name_returns_internal_name_if_set(): node = nodes.BaseNode(name='test', internal_name='test', config='test_config', execution_type=None, internal_branch_name='test_internal') assert node.get_branch_log_name() is 'test_internal' def test_base_node_get_branch_log_name_returns_map_modified_internal_name_if_map_variable(): node = nodes.BaseNode(name='test', internal_name='test_', config='test_config', execution_type=None, internal_branch_name='test.' + defaults.MAP_PLACEHOLDER) assert node.get_branch_log_name(map_variable={'map_key': 'a'}) == 'test.a' def test_base_node_get_branch_log_name_returns_map_modified_internal_name_if_map_variable_multiple(): node = nodes.BaseNode(name='test', internal_name='test_', config='test_config', execution_type=None, internal_branch_name='test.' + defaults.MAP_PLACEHOLDER + '.step.' + defaults.MAP_PLACEHOLDER) assert node.get_branch_log_name(map_variable={'map_key': 'a', 'map_key1': 'b'}) == 'test.a.step.b' def test_base_node_get_on_failure_node_returns_none_if_not_defined(): node = nodes.BaseNode(name='test', internal_name='test', config={}, execution_type=None) assert node.get_on_failure_node() is None def test_base_node_get_on_failure_node_returns_node_name_if_defined(): node = nodes.BaseNode(name='test', internal_name='test', config={'on_failure': 'fail'}, execution_type=None) assert node.get_on_failure_node() == 'fail' def test_base_node_get_catalog_settings_returns_none_if_not_defined(): node = nodes.BaseNode(name='test', internal_name='test', config={}, execution_type=None) assert node.get_catalog_settings() is None def test_base_node_get_catalog_settings_returns_node_name_if_defined(): node = nodes.BaseNode(name='test', internal_name='test', config={'catalog': 'some settings'}, execution_type=None) assert node.get_catalog_settings() == 'some settings' def test_base_node_get_branch_by_name_raises_exception(): node = nodes.BaseNode(name='test', internal_name='test', config={'catalog': 'some settings'}, execution_type=None) with pytest.raises(Exception): node.get_branch_by_name('fail') def test_base_node_get_next_node_returns_config_next(): node = nodes.BaseNode(name='test', internal_name='test', config={'next': 'IamNext'}, execution_type=None) assert node.get_next_node() == 'IamNext' def test_base_node_get_mode_config_returns_mode_config_if_present(): node = nodes.BaseNode(name='test', internal_name='test', config={'mode_config': {'local': 'some settings'}}, execution_type=None) assert node.get_mode_config('local') == 'some settings' def test_base_node_get_mode_config_returns_empty_dict_if_not_present(): node = nodes.BaseNode(name='test', internal_name='test', config={}, execution_type=None) assert node.get_mode_config('local') == {} def test_base_node_get_max_attempts_returns_max_attempts_as_in_config(): node = nodes.BaseNode(name='test', internal_name='test', config={'retry': 2}, execution_type=None) assert node.get_max_attempts() == 2 def test_base_node_get_max_attempts_returns_max_attempts_as_1_if_not_in_config(): node = nodes.BaseNode(name='test', internal_name='test', config={}, execution_type=None) assert node.get_max_attempts() == 1 def test_base_node_execute_raises_not_implemented_error(): node = nodes.BaseNode(name='test', internal_name='test', config={}, execution_type=None) with pytest.raises(NotImplementedError): node.execute(executor='test') def test_base_node_execute_as_graph_raises_not_implemented_error(): node = nodes.BaseNode(name='test', internal_name='test', config={}, execution_type=None) with pytest.raises(NotImplementedError): node.execute_as_graph(executor='test') def test_validate_node_gets_specs_from_default_specs(mocker, monkeypatch): mock_load_yaml = mocker.MagicMock() monkeypatch.setattr(nodes.utils, 'load_yaml', mock_load_yaml) node = nodes.BaseNode(name='test', internal_name='test', config={}, execution_type=None) with pytest.raises(Exception): nodes.validate_node(node) args, _ = mock_load_yaml.call_args assert args[0].endswith(defaults.NODE_SPEC_FILE) def test_validate_node_raises_exception_for_unspecified_node(mocker, monkeypatch): dummy_specs = {'test': {}} monkeypatch.setattr(nodes.utils, 'load_yaml', mocker.MagicMock(return_value=dummy_specs)) node = nodes.BaseNode(name='test', internal_name='test', config={}, execution_type=None) node.node_type = 'test1' with pytest.raises(Exception): nodes.validate_node(node) def test_validate_node_does_not_raise_exception_for_specified_node(mocker, monkeypatch): dummy_specs = {'dummy': {}} monkeypatch.setattr(nodes.utils, 'load_yaml', mocker.MagicMock(return_value=dummy_specs)) node = nodes.BaseNode(name='test', internal_name='test', config={}, execution_type=None) node.node_type = 'dummy' nodes.validate_node(node) def test_validate_node_sends_message_back_if_dot_present_in_name(mocker, monkeypatch): dummy_specs = {'dummy': {}} monkeypatch.setattr(nodes.utils, 'load_yaml', mocker.MagicMock(return_value=dummy_specs)) node = nodes.BaseNode(name='test.', internal_name='test', config={}, execution_type=None) node.node_type = 'dummy' messages = nodes.validate_node(node) assert len(messages) == 1 assert messages[0] == 'Node names cannot have . in them' def test_validate_node_sends_message_back_if_character_present_in_name(mocker, monkeypatch): dummy_specs = {'dummy': {}} monkeypatch.setattr(nodes.utils, 'load_yaml', mocker.MagicMock(return_value=dummy_specs)) node = nodes.BaseNode(name='test%', internal_name='test', config={}, execution_type=None) node.node_type = 'dummy' messages = nodes.validate_node(node) assert len(messages) == 1 assert messages[0] == "Node names cannot have '%' in them" def test_validate_node_messages_empty_if_name_is_valid(mocker, monkeypatch): dummy_specs = {'dummy': {}} monkeypatch.setattr(nodes.utils, 'load_yaml', mocker.MagicMock(return_value=dummy_specs)) node = nodes.BaseNode(name='test', internal_name='test', config={}, execution_type=None) node.node_type = 'dummy' messages = nodes.validate_node(node) assert len(messages) == 0 def test_validate_node_sends_messages_if_required_are_not_present(mocker, monkeypatch): dummy_specs = {'dummy': {'required': ['dummy_required']}} monkeypatch.setattr(nodes.utils, 'load_yaml', mocker.MagicMock(return_value=dummy_specs)) node = nodes.BaseNode(name='test', internal_name='test', config={'dummy_required1': True}, execution_type=None) node.node_type = 'dummy' messages = nodes.validate_node(node) assert len(messages) == 1 assert messages[0] == 'test should have dummy_required field' def test_validate_node_sends_empty_if_required_present(mocker, monkeypatch): dummy_specs = {'dummy': {'required': ['dummy_required']}} monkeypatch.setattr(nodes.utils, 'load_yaml', mocker.MagicMock(return_value=dummy_specs)) node = nodes.BaseNode(name='test', internal_name='test', config={'dummy_required': True}, execution_type=None) node.node_type = 'dummy' messages = nodes.validate_node(node) assert len(messages) == 0 def test_validate_node_sends_messages_if_error_on_are_present(mocker, monkeypatch): dummy_specs = {'dummy': {'error_on': ['dummy_required']}} monkeypatch.setattr(nodes.utils, 'load_yaml', mocker.MagicMock(return_value=dummy_specs)) node = nodes.BaseNode(name='test', internal_name='test', config={'dummy_required': True}, execution_type=None) node.node_type = 'dummy' messages = nodes.validate_node(node) assert len(messages) == 1 assert messages[0] == 'test should not have dummy_required field' def test_validate_node_sends_empty_if_error_on_not_present(mocker, monkeypatch): dummy_specs = {'dummy': {'error_on': ['dummy_required']}} monkeypatch.setattr(nodes.utils, 'load_yaml', mocker.MagicMock(return_value=dummy_specs)) node = nodes.BaseNode(name='test', internal_name='test', config={'dummy_required1': True}, execution_type=None) node.node_type = 'dummy' messages = nodes.validate_node(node) assert len(messages) == 0 def test_task_node_mocks_if_mock_is_true(mocker, monkeypatch): mock_attempt_log = mocker.MagicMock() mock_executor = mocker.MagicMock() mock_executor.run_log_store.create_attempt_log = mocker.MagicMock(return_value=mock_attempt_log) task_node = nodes.TaskNode(name='test', internal_name='test', config={'command': 'nocommand'}, execution_type=None) task_node.execute(executor=mock_executor, mock=True) assert mock_attempt_log.status == defaults.SUCCESS def test_task_node_sets_attempt_log_fail_in_exception_of_execution(mocker, monkeypatch): mock_attempt_log = mocker.MagicMock() mock_executor = mocker.MagicMock() mock_executor.run_log_store.create_attempt_log = mocker.MagicMock(return_value=mock_attempt_log) task_node = nodes.TaskNode(name='test', internal_name='test', config={'command': 'nocommand'}, execution_type=None) task_node.execution_type = mocker.MagicMock() task_node.execution_type.execute_command = mocker.MagicMock(side_effect=Exception()) task_node.execute(executor=mock_executor) assert mock_attempt_log.status == defaults.FAIL def test_task_node_sets_attempt_log_success_in_no_exception_of_execution(mocker, monkeypatch): mock_attempt_log = mocker.MagicMock() mock_executor = mocker.MagicMock() mock_executor.run_log_store.create_attempt_log = mocker.MagicMock(return_value=mock_attempt_log) task_node = nodes.TaskNode(name='test', internal_name='test', config={'command': 'nocommand'}, execution_type=None) task_node.execution_type = mocker.MagicMock() task_node.execution_type.execute_command = mocker.MagicMock() task_node.execute(executor=mock_executor) assert mock_attempt_log.status == defaults.SUCCESS def test_task_node_execute_as_graph_raises_exception(): task_node = nodes.TaskNode(name='test', internal_name='test', config={'command': 'nocommand'}, execution_type=None) with pytest.raises(Exception): task_node.execute_as_graph(None) def test_fail_node_sets_branch_log_fail(mocker, monkeypatch): mock_attempt_log = mocker.MagicMock() mock_branch_log = mocker.MagicMock() mock_executor = mocker.MagicMock() mock_executor.run_log_store.create_attempt_log = mocker.MagicMock(return_value=mock_attempt_log) mock_executor.run_log_store.get_branch_log = mocker.MagicMock(return_value=mock_branch_log) node = nodes.FailNode(name='test', internal_name='test', config={'command': 'nocommand'}, execution_type=None) node.execute(executor=mock_executor) assert mock_attempt_log.status == defaults.SUCCESS assert mock_branch_log.status == defaults.FAIL def test_fail_node_sets_attempt_log_success_even_in_exception(mocker, monkeypatch): mock_attempt_log = mocker.MagicMock() mock_executor = mocker.MagicMock() mock_executor.run_log_store.create_attempt_log = mocker.MagicMock(return_value=mock_attempt_log) mock_executor.run_log_store.get_branch_log = mocker.MagicMock(side_effect=Exception()) node = nodes.FailNode(name='test', internal_name='test', config={'command': 'nocommand'}, execution_type=None) node.execute(executor=mock_executor) assert mock_attempt_log.status == defaults.SUCCESS def test_fail_node_execute_as_graph_raises_exception(): fail_node = nodes.FailNode(name='test', internal_name='test', config={'command': 'nocommand'}, execution_type=None) with pytest.raises(Exception): fail_node.execute_as_graph(None) def test_success_node_sets_branch_log_success(mocker, monkeypatch): mock_attempt_log = mocker.MagicMock() mock_branch_log = mocker.MagicMock() mock_executor = mocker.MagicMock() mock_executor.run_log_store.create_attempt_log = mocker.MagicMock(return_value=mock_attempt_log) mock_executor.run_log_store.get_branch_log = mocker.MagicMock(return_value=mock_branch_log) node = nodes.SuccessNode(name='test', internal_name='test', config={'command': 'nocommand'}, execution_type=None) node.execute(executor=mock_executor) assert mock_attempt_log.status == defaults.SUCCESS assert mock_branch_log.status == defaults.SUCCESS def test_success_node_sets_attempt_log_success_even_in_exception(mocker, monkeypatch): mock_attempt_log = mocker.MagicMock() mock_executor = mocker.MagicMock() mock_executor.run_log_store.create_attempt_log = mocker.MagicMock(return_value=mock_attempt_log) mock_executor.run_log_store.get_branch_log = mocker.MagicMock(side_effect=Exception()) node = nodes.SuccessNode(name='test', internal_name='test', config={'command': 'nocommand'}, execution_type=None) node.execute(executor=mock_executor) assert mock_attempt_log.status == defaults.SUCCESS def test_success_node_execute_as_graph_raises_exception(): success_node = nodes.SuccessNode(name='test', internal_name='test', config={'command': 'nocommand'}, execution_type=None) with pytest.raises(Exception): success_node.execute_as_graph(None) def test_parallel_node_raises_exception_for_empty_branches(): with pytest.raises(Exception): nodes.ParallelNode(name='test', internal_name='test', config={'branches': {}}, execution_type='python') def test_parallel_node_get_sub_graphs_creates_graphs(mocker, monkeypatch): mock_create_graph = mocker.MagicMock(return_value='agraphobject') monkeypatch.setattr(nodes, 'create_graph', mock_create_graph) parallel_config = { 'branches': { 'a': {}, 'b': {} } } node = nodes.ParallelNode(name='test', internal_name='test', config=parallel_config, execution_type='python') assert mock_create_graph.call_count == 2 assert len(node.branches.items()) == 2 def test_parallel_node_get_branch_by_name_raises_exception_if_branch_not_found(mocker, monkeypatch): monkeypatch.setattr(nodes.ParallelNode, 'get_sub_graphs', mocker.MagicMock()) node = nodes.ParallelNode(name='test', internal_name='test', config={}, execution_type='python') with pytest.raises(Exception): node.get_branch_by_name('a') def test_parallel_node_get_branch_by_name_returns_branch_if_found(mocker, monkeypatch): monkeypatch.setattr(nodes.ParallelNode, 'get_sub_graphs', mocker.MagicMock()) node = nodes.ParallelNode(name='test', internal_name='test', config={}, execution_type='python') node.branches = {'a': 'somegraph'} assert node.get_branch_by_name('a') == 'somegraph' def test_parallel_node_execute_raises_exception(mocker, monkeypatch): monkeypatch.setattr(nodes.ParallelNode, 'get_sub_graphs', mocker.MagicMock()) node = nodes.ParallelNode(name='test', internal_name='test', config={}, execution_type='python') with pytest.raises(Exception): node.execute(executor='test') def test_nodes_map_node_raises_exception_if_config_not_have_iterate_on(): with pytest.raises(Exception): nodes.MapNode(name='test', internal_name='test', config={}, execution_type='test') def test_nodes_map_node_raises_exception_if_config_not_have_iterate_as(): with pytest.raises(Exception): nodes.MapNode(name='test', internal_name='test', config={'iterate_on': 'y'}, execution_type='test') def test_nodes_map_node_names_the_branch_as_defaults_place_holder(monkeypatch, mocker): monkeypatch.setattr(nodes.MapNode, 'get_sub_graph', mocker.MagicMock()) node = nodes.MapNode(name='test', internal_name='test', config={ 'iterate_on': 'a', 'iterate_as': 'y_i'}, execution_type='test') assert node.branch_placeholder_name == defaults.MAP_PLACEHOLDER def test_nodes_map_get_sub_graph_calls_create_graph_with_correct_naming(mocker, monkeypatch): mock_create_graph = mocker.MagicMock() monkeypatch.setattr(nodes, 'create_graph', mock_create_graph) _ = nodes.MapNode(name='test', internal_name='test', config={ 'iterate_on': 'a', 'iterate_as': 'y_i', 'branch': {}}, execution_type='test') mock_create_graph.assert_called_once_with({}, internal_branch_name='test.' + defaults.MAP_PLACEHOLDER) def test_nodes_map_get_branch_by_name_returns_a_sub_graph(mocker, monkeypatch): mock_create_graph = mocker.MagicMock(return_value='a') monkeypatch.setattr(nodes, 'create_graph', mock_create_graph) node = nodes.MapNode(name='test', internal_name='test', config={ 'iterate_on': 'a', 'iterate_as': 'y_i', 'branch': {}}, execution_type='test') assert node.get_branch_by_name('anyname') == 'a' def test_nodes_map_node_execute_raises_exception(mocker, monkeypatch): monkeypatch.setattr(nodes.MapNode, 'get_sub_graph', mocker.MagicMock()) node = nodes.MapNode(name='test', internal_name='test', config={ 'iterate_on': 'a', 'iterate_as': 'y_i'}, execution_type='test') with pytest.raises(Exception): node.execute('dummy') def test_nodes_dag_node_raises_exception_if_dag_definition_is_not_present(): with pytest.raises(Exception): nodes.DagNode(name='test', internal_name='test', config={}, execution_type='test') def test_node_dag_node_get_sub_graph_raises_exception_if_dag_block_not_present(mocker, monkeypatch): mock_load_yaml = mocker.MagicMock(return_value={}) monkeypatch.setattr(nodes.utils, 'load_yaml', mock_load_yaml) with pytest.raises(Exception): nodes.DagNode(name='test', internal_name='test', config={'dag_definition': 'a'}, execution_type='test') def test_nodes_dag_node_get_sub_graph_calls_create_graph_with_correct_parameters(mocker, monkeypatch): mock_load_yaml = mocker.MagicMock(return_value={'dag': 'a'}) mock_create_graph = mocker.MagicMock(return_value='branch') monkeypatch.setattr(nodes.utils, 'load_yaml', mock_load_yaml) monkeypatch.setattr(nodes, 'create_graph', mock_create_graph) _ = nodes.DagNode(name='test', internal_name='test', config={'dag_definition': 'a'}, execution_type='test') mock_create_graph.assert_called_once_with('a', internal_branch_name='test.' + defaults.DAG_BRANCH_NAME) def test_nodes_dag_node_get_branch_by_name_raises_exception_if_branch_name_is_invalid(mocker, monkeypatch): monkeypatch.setattr(nodes.DagNode, 'get_sub_graph', mocker.MagicMock(return_value='branch')) node = nodes.DagNode(name='test', internal_name='test', config={'dag_definition': 'a'}, execution_type='test') with pytest.raises(Exception): node.get_branch_by_name('test') def test_nodes_dag_node_get_branch_by_name_returns_if_branch_name_is_valid(mocker, monkeypatch): monkeypatch.setattr(nodes.DagNode, 'get_sub_graph', mocker.MagicMock(return_value='branch')) node = nodes.DagNode(name='test', internal_name='test', config={'dag_definition': 'a'}, execution_type='test') assert node.get_branch_by_name('test.' + defaults.DAG_BRANCH_NAME) == 'branch' def test_nodes_dag_node_execute_raises_exception(mocker, monkeypatch): monkeypatch.setattr(nodes.DagNode, 'get_sub_graph', mocker.MagicMock(return_value='branch')) node = nodes.DagNode(name='test', internal_name='test', config={'dag_definition': 'a'}, execution_type='test') with pytest.raises(Exception): node.execute('dummy') def test_nodes_as_is_node_accepts_what_is_given(): node = nodes.AsISNode(name='test', internal_name='test', config={ 'command_config': {'render_string': 'test'}}, execution_type='test') assert node.config['command_config']['render_string'] == 'test' def test_as_is_node_execute_as_graph_raises_exception(): as_is_node = nodes.AsISNode(name='test', internal_name='test', config={'command': 'nocommand'}, execution_type=None) with pytest.raises(Exception): as_is_node.execute_as_graph(None) def test_as_is_node_sets_attempt_log_success(mocker, monkeypatch): mock_attempt_log = mocker.MagicMock() mock_executor = mocker.MagicMock() mock_executor.run_log_store.create_attempt_log = mocker.MagicMock(return_value=mock_attempt_log) node = nodes.AsISNode(name='test', internal_name='test', config={}, execution_type=None) node.execute(executor=mock_executor) assert mock_attempt_log.status == defaults.SUCCESS def test_is_terminal_node_when_has_next(): node = nodes.BaseNode(name='test', internal_name='test_', config={'next': 'yes'}, execution_type=None, internal_branch_name='test_') assert not node.is_terminal_node() def test_is_terminal_node_when_no_next(): node = nodes.BaseNode(name='test', internal_name='test_', config={'none': 'no'}, execution_type=None, internal_branch_name='test_') assert node.is_terminal_node() def test_get_neighbors_no_neighbors(): node = nodes.BaseNode(name='test', internal_name='test_', config={}, execution_type=None, internal_branch_name='test_') assert node.get_neighbors() == [] def test_get_neighbors_only_next(): node = nodes.BaseNode(name='test', internal_name='test_', config={'next': 'a'}, execution_type=None, internal_branch_name='test_') neighbors = node.get_neighbors() assert len(neighbors) == 1 assert neighbors[0] == 'a' def test_get_neighbors_both_next_and_on_failure(): node = nodes.BaseNode(name='test', internal_name='test_', config={'next': 'a', 'on_failure': 'b'}, execution_type=None, internal_branch_name='test_') neighbors = node.get_neighbors() assert len(neighbors) == 2 assert neighbors[0] == 'a' assert neighbors[1] == 'b'
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6
a3cae03d9461b2c9691b6a092a1814f4d5de2f6a
108
py
Python
daskperiment/config.py
takumiohym/daskperiment
292752f29a9f77b948b2a5050122109b8f4fe148
[ "BSD-3-Clause" ]
27
2019-01-25T01:44:20.000Z
2019-11-13T14:26:56.000Z
daskperiment/config.py
nikkkkhil/dask_task
1802efacd43e68e5e7dd8eb82e27b3cbf09d74ae
[ "BSD-3-Clause" ]
64
2019-01-29T03:52:31.000Z
2019-04-25T07:55:09.000Z
daskperiment/config.py
nikkkkhil/dask_task
1802efacd43e68e5e7dd8eb82e27b3cbf09d74ae
[ "BSD-3-Clause" ]
5
2019-02-04T20:58:39.000Z
2019-04-14T11:45:48.000Z
import pathlib _CACHE_DIR = pathlib.Path('daskperiment_cache') _LOG_DIR = pathlib.Path('daskperiment_log')
21.6
47
0.805556
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108
5.785714
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0.246914
0.345679
0.641975
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0.083333
108
4
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0
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0
6
a3e6f15e7a2076c2584e349545927052133e260d
16,792
py
Python
install/app_store/tk-multi-workfiles2/v0.9.7/python/tk_multi_workfiles/crash_dbg_form.py
JoanAzpeitia/lp_sg
e0ee79555e419dd2ae3a5f31e5515b3f40b22a62
[ "MIT" ]
4
2019-01-11T03:41:28.000Z
2019-09-12T06:57:17.000Z
bundle_cache/app_store/tk-multi-workfiles2/v0.11.6/python/tk_multi_workfiles/crash_dbg_form.py
ColinKennedy/tk-config-default2-respawn
855fb8033daa549b92615792442f19a7f9c4f55c
[ "Linux-OpenIB" ]
null
null
null
bundle_cache/app_store/tk-multi-workfiles2/v0.11.6/python/tk_multi_workfiles/crash_dbg_form.py
ColinKennedy/tk-config-default2-respawn
855fb8033daa549b92615792442f19a7f9c4f55c
[ "Linux-OpenIB" ]
2
2019-01-10T05:00:18.000Z
2020-02-15T16:32:56.000Z
import sgtk from sgtk.platform.qt import QtGui from .ui.crash_dbg_form import Ui_CrashDbgForm import threading import random import time class SgRunner(threading.Thread): def __init__(self): threading.Thread.__init__(self) self._lock = threading.Lock() self._run = True self._sg_searches = [ {"entity_type":"Task", "filters":[['project', 'is', {'type': 'Project', 'name': 'Another Demo Project', 'id': 67}], ['entity', 'type_is', 'Asset']], "fields":['project', 'code', 'description', 'image', 'entity.Asset.sg_asset_type', 'entity', 'content', 'step', 'sg_status_list', 'task_assignees', 'name'], "order":[]}, {"entity_type":"Task", "filters":[['project', 'is', {'type': 'Project', 'name': 'Another Demo Project', 'id': 67}], ['entity', 'type_is', 'Shot']], "fields":['project', 'entity.Shot.sg_sequence', 'code', 'description', 'image', 'entity', 'content', 'step', 'sg_status_list', 'task_assignees', 'name'], "order":[]} ] self._thread_local = threading.local() @property def _shotgun(self): self._lock.acquire() try: if not hasattr(self._thread_local, "sg"): self._thread_local.sg = sgtk.util.shotgun.create_sg_connection() return self._thread_local.sg finally: self._lock.release() def stop(self): self._lock.acquire() try: self._run = False finally: self._lock.release() def run(self): res = {} while True: self._lock.acquire() try: if not self._run: break finally: self._lock.release() """ s = [] for tick in range(512): time.sleep(0.001) multiplier = random.randint(1, 8) for i in range(8*multiplier): s.append(tick*i) time.sleep(2) res = dict((i, c) for i, c in enumerate(s)) """ sg_search = self._sg_searches[random.randint(0, len(self._sg_searches)-1)] res = self._shotgun.find(sg_search["entity_type"], sg_search["filters"], sg_search["fields"], sg_search["order"]) print len(res) class CrashDbgForm(QtGui.QWidget): def __init__(self, parent=None): QtGui.QWidget.__init__(self, parent) self._ui = Ui_CrashDbgForm() self._ui.setupUi(self) refresh_action = QtGui.QAction("Refresh", self) refresh_action.setShortcut(QtGui.QKeySequence(QtGui.QKeySequence.Refresh)) refresh_action.triggered.connect(self._on_refresh_triggered) self.addAction(refresh_action) # create model: self._model = QtGui.QStandardItemModel() self._ui.tree_view.setModel(self._model) self._ui.list_view.setModel(self._model) # create sg query threads: self._sg_runner_threads = [] self._sg_runner_threads.append(SgRunner()) self._sg_runner_threads.append(SgRunner()) self._sg_runner_threads.append(SgRunner()) for thread in self._sg_runner_threads: thread.start() def closeEvent(self, event): """ """ for thread in self._sg_runner_threads: print "Stopping sg runner thread..." thread.stop() thread.join() print " > Stopped!" if self._model: self._model.deleteLater() self._model = None return QtGui.QWidget.closeEvent(self, event) def _on_refresh_triggered(self): """ """ #time.sleep(0.1) self._model.clear() self._repopulate_model() self._repopulate_model() self._repopulate_model() def _update_groups(self, group_names): """ """ new_items = [] for name in group_names: group_item = QtGui.QStandardItem(name) new_items.append(group_item) if new_items: self._model.invisibleRootItem().appendRows(new_items) def _add_group(self, group_name): """ """ group_item = QtGui.QStandardItem(group_name) self._model.invisibleRootItem().appendRow(group_item) return group_item def _add_files(self, group_item, file_names): """ """ new_items = [] for name in file_names: item = QtGui.QStandardItem(name) new_items.append(item) if new_items: group_item.appendRows(new_items) def _repopulate_model(self): """ """ search_id = random.randint(0, 19) if search_id == 0: self._update_groups(["Sequence 01"]) elif search_id == 1: self._update_groups(["123", "Anm - Animation"]) grp = self._add_group("Anm - Animation") self._add_files(grp, ["reviewtest", "reviewtest", "reviewtest", "reviewtest", "launchtest", "reviewtest", "reviewtest", "reviewtest", "reviewtest", "reviewtest", "colourspacetest", "crashtest", "shouldbreak", "reviewtest", "scene", "reviewtest", "reviewtest"]) elif search_id == 2: self._update_groups(["Anm", "Anm - Animation"]) grp = self._add_group("Anm - Animation") self._add_files(grp, ["reviewtest", "reviewtest", "reviewtest", "reviewtest", "launchtest", "reviewtest", "reviewtest", "reviewtest", "reviewtest", "reviewtest", "colourspacetest", "crashtest", "shouldbreak", "reviewtest", "scene", "reviewtest", "reviewtest"]) elif search_id == 3: self._update_groups(["Animation"]) grp = self._add_group("Animation") self._add_files(grp, ["reviewtest", "reviewtest", "reviewtest", "reviewtest", "launchtest", "reviewtest", "reviewtest", "reviewtest", "reviewtest", "reviewtest", "colourspacetest", "crashtest", "shouldbreak", "reviewtest", "scene", "reviewtest", "reviewtest"]) elif search_id == 4: self._update_groups(["shot_010", "Anm - Animation", "Comp - MoreComp", "FX - Effects", "FX - More FX", "Light - EvenMoreLighting", "Light - Lighting", "Light - MoreLighting", "Light - StillMoreLighting", "Light - YetMoreLighting", "More Anim - MoreAnim", "Roto - Roto"]) grp = self._add_group("Comp - MoreComp") self._add_files(grp, ["nopublishes"]) grp = self._add_group("Light - EvenMoreLighting") self._add_files(grp, ["testscene", "writenodetestBAD", "writenodeconversiontest", "scene", "writenodetest", "osxreviewtest", "writenodeconversiontestb", "testscene", "sendtoreviewtest", "osxreviewtest", "testscene", "writenodeconversiontest", "testscene", "writenodetestBAD", "sendtoreviewtest", "writenodeconversiontest", "scene1", "writenodeconversiontest"]) grp = self._add_group("Light - Lighting") self._add_files(grp, ["testscene", "writenodetestBAD", "writenodeconversiontest", "scene", "writenodetest", "osxreviewtest", "writenodeconversiontestb", "testscene", "sendtoreviewtest", "osxreviewtest", "testscene", "writenodeconversiontest", "testscene", "writenodetestBAD", "sendtoreviewtest", "writenodeconversiontest", "scene1", "writenodeconversiontest"]) grp = self._add_group("Light - MoreLighting") self._add_files(grp, ["testscene", "writenodetestBAD", "writenodeconversiontest", "scene", "writenodetest", "osxreviewtest", "writenodeconversiontestb", "testscene", "sendtoreviewtest", "osxreviewtest", "testscene", "writenodeconversiontest", "testscene", "writenodetestBAD", "sendtoreviewtest", "writenodeconversiontest", "scene1", "writenodeconversiontest"]) grp = self._add_group("Light - StillMoreLighting") self._add_files(grp, ["testscene", "writenodetestBAD", "writenodeconversiontest", "scene", "writenodetest", "osxreviewtest", "writenodeconversiontestb", "testscene", "sendtoreviewtest", "osxreviewtest", "testscene", "writenodeconversiontest", "testscene", "writenodetestBAD", "sendtoreviewtest", "writenodeconversiontest", "scene1", "writenodeconversiontest"]) grp = self._add_group("Light - YetMoreLighting") self._add_files(grp, ["testscene", "writenodetestBAD", "writenodeconversiontest", "scene", "writenodetest", "osxreviewtest", "writenodeconversiontestb", "testscene", "sendtoreviewtest", "osxreviewtest", "testscene", "writenodeconversiontest", "testscene", "writenodetestBAD", "sendtoreviewtest", "writenodeconversiontest", "scene1", "writenodeconversiontest"]) elif search_id == 5: self._update_groups(["Anm", "Anm - Animation"]) elif search_id == 6: self._update_groups(["Animation"]) elif search_id == 7: self._update_groups(["Comp", "Comp - MoreComp"]) grp = self._add_group("Comp - MoreComp") self._add_files(grp, ["nopublishes"]) elif search_id == 8: self._update_groups(["FX", "FX - Effects", "FX - More FX"]) elif search_id == 9: self._update_groups(["Light", "Light - EvenMoreLighting", "Light - Lighting", "Light - MoreLighting", "Light - StillMoreLighting", "Light - YetMoreLighting"]) grp = self._add_group("Light - EvenMoreLighting") self._add_files(grp, ["testscene", "writenodetestBAD", "writenodeconversiontest", "scene", "writenodetest", "osxreviewtest", "writenodeconversiontestb", "testscene", "sendtoreviewtest", "osxreviewtest", "testscene", "writenodeconversiontest", "testscene", "writenodetestBAD", "sendtoreviewtest", "writenodeconversiontest", "scene1", "writenodeconversiontest"]) grp = self._add_group("Light - Lighting") self._add_files(grp, ["testscene", "writenodetestBAD", "writenodeconversiontest", "scene", "writenodetest", "osxreviewtest", "writenodeconversiontestb", "testscene", "sendtoreviewtest", "osxreviewtest", "testscene", "writenodeconversiontest", "testscene", "writenodetestBAD", "sendtoreviewtest", "writenodeconversiontest", "scene1", "writenodeconversiontest"]) grp = self._add_group("Light - MoreLighting") self._add_files(grp, ["testscene", "writenodetestBAD", "writenodeconversiontest", "scene", "writenodetest", "osxreviewtest", "writenodeconversiontestb", "testscene", "sendtoreviewtest", "osxreviewtest", "testscene", "writenodeconversiontest", "testscene", "writenodetestBAD", "sendtoreviewtest", "writenodeconversiontest", "scene1", "writenodeconversiontest"]) grp = self._add_group("Light - StillMoreLighting") self._add_files(grp, ["testscene", "writenodetestBAD", "writenodeconversiontest", "scene", "writenodetest", "osxreviewtest", "writenodeconversiontestb", "testscene", "sendtoreviewtest", "osxreviewtest", "testscene", "writenodeconversiontest", "testscene", "writenodetestBAD", "sendtoreviewtest", "writenodeconversiontest", "scene1", "writenodeconversiontest"]) grp = self._add_group("Light - YetMoreLighting") self._add_files(grp, ["testscene", "writenodetestBAD", "writenodeconversiontest", "scene", "writenodetest", "osxreviewtest", "writenodeconversiontestb", "testscene", "sendtoreviewtest", "osxreviewtest", "testscene", "writenodeconversiontest", "testscene", "writenodetestBAD", "sendtoreviewtest", "writenodeconversiontest", "scene1", "writenodeconversiontest"]) elif search_id == 10: self._update_groups(["EvenMoreLighting"]) grp = self._add_group("EvenMoreLighting") self._add_files(grp, ["testscene", "writenodetestBAD", "writenodeconversiontest", "scene", "writenodetest", "osxreviewtest", "writenodeconversiontestb", "testscene", "sendtoreviewtest", "osxreviewtest", "testscene", "writenodeconversiontest", "testscene", "writenodetestBAD", "sendtoreviewtest", "writenodeconversiontest", "scene1", "writenodeconversiontest"]) elif search_id == 11: self._update_groups(["Lighting"]) grp = self._add_group("Lighting") self._add_files(grp, ["testscene", "writenodetestBAD", "writenodeconversiontest", "scene", "writenodetest", "osxreviewtest", "writenodeconversiontestb", "testscene", "sendtoreviewtest", "osxreviewtest", "testscene", "writenodeconversiontest", "testscene", "writenodetestBAD", "sendtoreviewtest", "writenodeconversiontest", "scene1", "writenodeconversiontest"]) elif search_id == 12: self._update_groups(["MoreLighting"]) grp = self._add_group("MoreLighting") self._add_files(grp, ["testscene", "writenodetestBAD", "writenodeconversiontest", "scene", "writenodetest", "osxreviewtest", "writenodeconversiontestb", "testscene", "sendtoreviewtest", "osxreviewtest", "testscene", "writenodeconversiontest", "testscene", "writenodetestBAD", "sendtoreviewtest", "writenodeconversiontest", "scene1", "writenodeconversiontest"]) elif search_id == 13: self._update_groups(["StillMoreLighting"]) grp = self._add_group("StillMoreLighting") self._add_files(grp, ["testscene", "writenodetestBAD", "writenodeconversiontest", "scene", "writenodetest", "osxreviewtest", "writenodeconversiontestb", "testscene", "sendtoreviewtest", "osxreviewtest", "testscene", "writenodeconversiontest", "testscene", "writenodetestBAD", "sendtoreviewtest", "writenodeconversiontest", "scene1", "writenodeconversiontest"]) elif search_id == 14: self._update_groups(["YetMoreLighting"]) grp = self._add_group("YetMoreLighting") self._add_files(grp, ["testscene", "writenodetestBAD", "writenodeconversiontest", "scene", "writenodetest", "osxreviewtest", "writenodeconversiontestb", "testscene", "sendtoreviewtest", "osxreviewtest", "testscene", "writenodeconversiontest", "testscene", "writenodetestBAD", "sendtoreviewtest", "writenodeconversiontest", "scene1", "writenodeconversiontest"]) elif search_id == 15: self._update_groups(["More Anim", "More Anim - MoreAnim"]) elif search_id == 16: self._update_groups(["Roto", "Roto - Roto"]) elif search_id == 17: self._update_groups(["shot_020", "Light - Lighting"]) elif search_id == 18: self._update_groups(["Light", "Light - Lighting"]) elif search_id == 19: self._update_groups(["The End", "Anm - Animation", "Anm - Animation B", "Comp - Finalize"]) grp = self._add_group("Anm - Animation") self._add_files(grp, ["reviewtest", "writenodetestBAD", "writenodeconversiontest", "reviewtest", "testscene", "writenodeconversiontest", "reviewtest", "reviewtest", "reviewtest", "colourspacetest", "scene", "scene", "reviewtest", "sendtoreviewtest", "testscene", "shouldbreak", "reviewtest", "writenodeconversiontest", "reviewtest", "launchtest", "writenodetest", "writenodeconversiontestb", "osxreviewtest", "crashtest", "reviewtest", "writenodetestBAD", "writenodeconversiontest", "reviewtest", "sendtoreviewtest", "testscene", "nopublishes", "reviewtest", "reviewtest", "osxreviewtest", "testscene", "scene1"]) grp = self._add_group("Anm - Animation B") self._add_files(grp, ["reviewtest", "writenodetestBAD", "writenodeconversiontest", "reviewtest", "testscene", "writenodeconversiontest", "reviewtest", "reviewtest", "reviewtest", "colourspacetest", "scene", "scene", "reviewtest", "sendtoreviewtest", "testscene", "shouldbreak", "reviewtest", "writenodeconversiontest", "reviewtest", "launchtest", "writenodetest", "writenodeconversiontestb", "osxreviewtest", "crashtest", "reviewtest", "writenodetestBAD", "writenodeconversiontest", "reviewtest", "sendtoreviewtest", "testscene", "nopublishes", "reviewtest", "reviewtest", "osxreviewtest", "testscene", "scene1"]) grp = self._add_group("Comp - Finalize") self._add_files(grp, ["reviewtest", "writenodetestBAD", "writenodeconversiontest", "reviewtest", "testscene", "writenodeconversiontest", "reviewtest", "reviewtest", "reviewtest", "colourspacetest", "scene", "scene", "reviewtest", "sendtoreviewtest", "testscene", "shouldbreak", "reviewtest", "writenodeconversiontest", "reviewtest", "launchtest", "writenodetest", "writenodeconversiontestb", "osxreviewtest", "crashtest", "reviewtest", "writenodetestBAD", "writenodeconversiontest", "reviewtest", "sendtoreviewtest", "testscene", "nopublishes", "reviewtest", "reviewtest", "osxreviewtest", "testscene", "scene1"])
66.371542
625
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0
6
4306cd9b12bae76fa6623c99fa9393b64094544d
24
py
Python
huuey/hue/scenes/__init__.py
Bioto/Huuey-python
b64b8476cf9126df8f2bc4b5c4c5ad47545ebb0b
[ "MIT" ]
null
null
null
huuey/hue/scenes/__init__.py
Bioto/Huuey-python
b64b8476cf9126df8f2bc4b5c4c5ad47545ebb0b
[ "MIT" ]
null
null
null
huuey/hue/scenes/__init__.py
Bioto/Huuey-python
b64b8476cf9126df8f2bc4b5c4c5ad47545ebb0b
[ "MIT" ]
null
null
null
from .scene import Scene
24
24
0.833333
4
24
5
0.75
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24
24
0.952381
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1
0
1
0
1
0
0
6
431e50d50dc1d56e18dce811b630dc3846f46318
178
py
Python
app/views/qr_code.py
aluisq/flask_mysql_jinja
6fc9bd23ac31647744be0a1016bca42e2bc32961
[ "MIT" ]
null
null
null
app/views/qr_code.py
aluisq/flask_mysql_jinja
6fc9bd23ac31647744be0a1016bca42e2bc32961
[ "MIT" ]
null
null
null
app/views/qr_code.py
aluisq/flask_mysql_jinja
6fc9bd23ac31647744be0a1016bca42e2bc32961
[ "MIT" ]
null
null
null
from app import cursor, app from flask import render_template, request, redirect, url_for @app.route("/qr-code") def qr_code(): return render_template('public/qr_code.html')
29.666667
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0.764045
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0.137405
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29.666667
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6
4a76b2dc2131d8dee68695c2796ffacd17c022e2
138
py
Python
src/astrild/rays/skys/__init__.py
Christovis/wys-ars
bb15f2d392842f9b32de12b5db5c86079bc97105
[ "MIT" ]
3
2021-07-27T14:45:58.000Z
2022-01-31T21:09:46.000Z
src/astrild/rays/skys/__init__.py
Christovis/wys-ars
bb15f2d392842f9b32de12b5db5c86079bc97105
[ "MIT" ]
1
2021-11-03T10:47:45.000Z
2021-11-03T10:47:45.000Z
src/astrild/rays/skys/__init__.py
Christovis/wys-ars
bb15f2d392842f9b32de12b5db5c86079bc97105
[ "MIT" ]
1
2021-11-03T10:17:34.000Z
2021-11-03T10:17:34.000Z
from .sky_array import SkyArray from .sky_namaster import SkyNamaster from .sky_healpix import SkyHealpix from .sky_utils import SkyUtils
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5.7
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4
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6
4a8ba4c9f75f93e259fc105b3d4015edadc40cbf
44
py
Python
horizon_bsn/api/__init__.py
sarath-kumar/horizon-bsn
5e50db9586316a7893f83f72e9a9e7a039437182
[ "Apache-2.0" ]
null
null
null
horizon_bsn/api/__init__.py
sarath-kumar/horizon-bsn
5e50db9586316a7893f83f72e9a9e7a039437182
[ "Apache-2.0" ]
76
2016-08-15T21:46:39.000Z
2018-12-18T23:49:20.000Z
horizon_bsn/api/__init__.py
sarath-kumar/horizon-bsn
5e50db9586316a7893f83f72e9a9e7a039437182
[ "Apache-2.0" ]
5
2016-08-15T21:41:45.000Z
2020-03-01T17:03:46.000Z
from horizon_bsn.api import neutron # noqa
22
43
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1
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6
437347f333c7a79ec4950b5aa979310e595622f4
438
py
Python
basilisk.py
JJFReibel/RattleBasilisk
f95cd523b708e349cec2cf25a6cb5b60603f67d0
[ "MIT" ]
null
null
null
basilisk.py
JJFReibel/RattleBasilisk
f95cd523b708e349cec2cf25a6cb5b60603f67d0
[ "MIT" ]
null
null
null
basilisk.py
JJFReibel/RattleBasilisk
f95cd523b708e349cec2cf25a6cb5b60603f67d0
[ "MIT" ]
null
null
null
# RattleBasilisk # By Jean-Jacques F. Reibel # I will not be held responsible for: # any shenanigans import os os.system("printf '\e[0;31;1;1m\n'") os.system("printf '\e[1;32;1;1m /\/\/\/\/\/\/\/\/\/\/\/\\\n'") os.system("printf '\e[0;31;1;5m ~'") os.system("printf '\e[0;31;1;1m>'") os.system("printf '\e[0;33;1;1m°'") os.system("printf '\e[1;32;1;1m)~~~~~~~~~~~~~~###\n'") os.system("printf '\e[0;31;1;1m\n'")
29.2
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438
3.025641
0.371795
0.237288
0.415254
0.444915
0.610169
0.542373
0.542373
0.542373
0.45339
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14
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0.531915
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null
0
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0
0
1
0
0
0
0
1
0
6
4379a23b7a0eafaa35de5ad32541b848982df154
96
py
Python
v1/cloud/__init__.py
trisongz/fileio
2812e13003b79e8d19b5aa1f4e16feb2cd48b115
[ "MIT" ]
null
null
null
v1/cloud/__init__.py
trisongz/fileio
2812e13003b79e8d19b5aa1f4e16feb2cd48b115
[ "MIT" ]
null
null
null
v1/cloud/__init__.py
trisongz/fileio
2812e13003b79e8d19b5aa1f4e16feb2cd48b115
[ "MIT" ]
null
null
null
from . import auth from .gcp_gcs import open_gcs, _auth_gcp_gcs from .aws_s3 import _auth_aws_s3
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0.833333
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96
3.736842
0.421053
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0.02381
0.125
96
3
45
32
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true
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1
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6
438ca2045706e386fa775b56dea829c1c691644d
129
py
Python
keydom/__init__.py
pirogoeth/keydom
7890e63f8ff33371e2fe4c3277935533858aefe3
[ "MIT" ]
null
null
null
keydom/__init__.py
pirogoeth/keydom
7890e63f8ff33371e2fe4c3277935533858aefe3
[ "MIT" ]
null
null
null
keydom/__init__.py
pirogoeth/keydom
7890e63f8ff33371e2fe4c3277935533858aefe3
[ "MIT" ]
null
null
null
from keydom import migrations from keydom import models from keydom import routes from keydom import util __version__ = "0.0.1"
18.428571
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0.806202
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129
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0.5
0.4
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0.027523
0.155039
129
6
30
21.5
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6
439c8e9901000a6e60217c066cd75f4a4f7ad4f1
224
py
Python
Courses/100 Days of Code The Complete Python Pro Bootcamp/Day 6/Hurdle 2.py
edaaydinea/365-days-of-coding-challenge
baf06a9bef75ff45194e57357e20085b9cde2498
[ "MIT" ]
4
2022-01-05T12:14:13.000Z
2022-01-08T16:03:32.000Z
Courses/100 Days of Code The Complete Python Pro Bootcamp/Day 6/Hurdle 2.py
edaaydinea/365-days-of-code
baf06a9bef75ff45194e57357e20085b9cde2498
[ "MIT" ]
null
null
null
Courses/100 Days of Code The Complete Python Pro Bootcamp/Day 6/Hurdle 2.py
edaaydinea/365-days-of-code
baf06a9bef75ff45194e57357e20085b9cde2498
[ "MIT" ]
null
null
null
def turn_right(): turn_left() turn_left() turn_left() def jump(): move() turn_left() move() turn_right() move() turn_right() move() turn_left() while not at_goal(): jump()
11.2
20
0.535714
28
224
3.964286
0.357143
0.36036
0.216216
0.288288
0.306306
0
0
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0
0
0
0.316964
224
19
21
11.789474
0.72549
0
0
0.733333
0
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0.133333
true
0
0
0
0.133333
0
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null
1
1
1
0
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0
1
0
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0
null
0
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0
0
0
1
0
0
0
0
0
0
6
43a2268f5c484a7d76c114ba769bcbe3cbad67fe
52
py
Python
src/public/repository/keys.py
akornatskyy/sample-blog-api
87183780d7f2322ae27231e8eacea1f942f87d1d
[ "MIT" ]
null
null
null
src/public/repository/keys.py
akornatskyy/sample-blog-api
87183780d7f2322ae27231e8eacea1f942f87d1d
[ "MIT" ]
78
2019-06-03T03:24:36.000Z
2021-06-25T15:19:17.000Z
src/public/repository/keys.py
akornatskyy/sample-blog-api
87183780d7f2322ae27231e8eacea1f942f87d1d
[ "MIT" ]
null
null
null
""" """ def get_daily_quote(): return 'q:gdq'
7.428571
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0.538462
7
52
3.714286
1
0
0
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0.230769
52
6
23
8.666667
0.65
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0.111111
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0.5
true
0
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null
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null
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1
1
0
0
1
1
0
0
6
43c24fb60cdc8373e1f76bf3df835f894bca48ec
63
py
Python
Arithmetic/__init__.py
ndiab/CRYPTO
6691972dbfc33eae4c3c133a4df00de4e336b0cb
[ "Apache-2.0" ]
26
2017-03-27T10:32:59.000Z
2022-02-22T10:36:17.000Z
Arithmetic/__init__.py
ndiab/CRYPTO
6691972dbfc33eae4c3c133a4df00de4e336b0cb
[ "Apache-2.0" ]
1
2018-02-11T19:13:57.000Z
2018-02-11T19:25:22.000Z
Arithmetic/__init__.py
ndiab/CRYPTO
6691972dbfc33eae4c3c133a4df00de4e336b0cb
[ "Apache-2.0" ]
4
2018-04-26T12:28:27.000Z
2022-01-23T15:09:23.000Z
from Arithmetic.arith import * from Arithmetic.prime import *
15.75
30
0.793651
8
63
6.25
0.625
0.56
0
0
0
0
0
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0.142857
63
3
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21
0.925926
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true
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1
0
1
0
1
0
0
6
6009d7de0253a5ca4651e1982bc9b2c34c00351a
11,536
py
Python
src/python/model_generators/keras/code_generator.py
computer-geek64/guinn
11e10a9fbf1f99fd0ff8e15d7a812679ae7015f4
[ "MIT" ]
2
2020-06-25T00:06:38.000Z
2020-09-11T18:59:45.000Z
src/python/model_generators/keras/code_generator.py
computer-geek64/guinn
11e10a9fbf1f99fd0ff8e15d7a812679ae7015f4
[ "MIT" ]
20
2020-06-25T00:16:35.000Z
2020-06-25T19:24:14.000Z
src/python/model_generators/keras/code_generator.py
computer-geek64/guinn
11e10a9fbf1f99fd0ff8e15d7a812679ae7015f4
[ "MIT" ]
null
null
null
#!/usr/bin/python3 # code_generator.py def add_layers(layers): return_string = '''model = tf.keras.Sequential()\n''' for layer in layers: if layer['type'] == 'dense': if layer['activation_function'] is not None: return_string += '''model.add(tf.keras.layers.Dense(units={units}, activation=\'{activation}\', use_bias={use_bias}))\n''' \ .format(units=layer['nodes'], activation=layer['activation_function'], use_bias=layer['use_bias']) else: return_string += '''model.add(tf.keras.layers.Dense(units={units}, activation={activation}, use_bias={use_bias}))\n''' \ .format(units=layer['nodes'], activation=layer['activation_function'], use_bias=layer['use_bias']) elif layer['type'] == 'input_layer': return_string += '''model.add(tf.keras.layers.InputLayer(input_shape={input_shape})\n''' \ .format(input_shape=layer['input_shape']) elif layer['type'] == 'flatten': return_string += '''model.add(tf.keras.layers.Flatten())\n''' elif layer['type'] == 'embedding': return_string += '''model.add(tf.keras.layers.Embedding(input_dim={input_dim}, output_dim={output_dim}\n''' \ .format(input_dim=layer['input_dim'], output_dim=layer['output_dim']) elif layer['type'] == 'dropout': return_string += '''model.add(tf.keras.layers.Dropout(rate={rate}\n''' \ .format(rate=layer['rate']) elif layer['type'] == 'batch_normalization': return_string += '''model.add(tf.keras.layers.BatchNormalization(axis={axis}, momentum={momentum}, epsilon={epsilon})\n''' \ .format(axis=layer['axis'], momentum=layer['momentum'], epsilon=layer['epsilon']) elif layer['type'] == 'conv_2d': if layer['activation_function'] is not None: return_string += '''model.add(tf.keras.layers.Conv2D(filters={filters}, kernel_size={kernel_size}, strides={strides}, activation=\'{activation}\', use_bias={use_bias})\n''' \ .format(filters=layer['filters'], kernel_size=layer['kernel_size'], strides=layer['strides'], activation=layer['activation_function'], use_bias=layer['use_bias']) else: return_string += '''model.add(tf.keras.layers.Conv2D(filters={filters}, kernel_size={kernel_size}, strides={strides}, activation={activation}, use_bias={use_bias})\n''' \ .format(filters=layer['filters'], kernel_size=layer['kernel_size'], strides=layer['strides'], activation=layer['activation_function'], use_bias=layer['use_bias']) elif layer['type'] == 'max_pooling_2d': return_string += '''model.add(tf.keras.layers.MaxPool2D(pool_size={pool_size}, strides={strides})\n''' \ .format(pool_size=layer['kernel_size'], strides=layer['strides']) elif layer['type'] == 'average_pooling_2d': return_string += '''model.add(tf.keras.layers.AveragePooling2D(pool_size={pool_size}, strides={strides})\n''' \ .format(pool_size=layer['kernel_size'], strides=layer['strides']) elif layer['type'] == 'rnn': if layer['activation_function'] is not None: return_string += '''model.add(tf.keras.layers.SimpleRNN(units={units}, activation=\'{activation}\', use_bias={use_bias}, dropout={dropout}, recurrent_dropout={recurrent_dropout})\n''' \ .format(units=layer['nodes'], activation=layer['activation_function'], use_bias=layer['use_bias'], dropout=layer['dropout'], recurrent_dropout=layer['recurrent_dropout']) else: return_string += '''model.add(tf.keras.layers.SimpleRNN(units={units}, activation={activation}, use_bias={use_bias}, dropout={dropout}, recurrent_dropout={recurrent_dropout})\n''' \ .format(units=layer['nodes'], activation=layer['activation_function'], use_bias=layer['use_bias'], dropout=layer['dropout'], recurrent_dropout=layer['recurrent_dropout']) elif layer['type'] == 'lstm': if layer['activation_function'] is None and layer['recurrent_activation'] is not None: return_string += '''model.add(tf.keras.layers.LSTM(units={units}, activation={activation}, recurrent_activation=\'{recurrent_activation}\', use_bias={use_bias}, dropout={dropout}, recurrent_dropout={recurrent_dropout})\n''' \ .format(units=layer['nodes'], activation=layer['activation_function'], recurrent_activation=layer['recurrent_activation_function'], use_bias=layer['use_bias'], dropout=layer['dropout'], recurrent_dropout=layer['recurrent_dropout']) elif layer['activation_function'] is not None and layer['recurrent_activation'] is None: return_string += '''model.add(tf.keras.layers.LSTM(units={units}, activation=\'{activation}\', recurrent_activation={recurrent_activation}, use_bias={use_bias}, dropout={dropout}, recurrent_dropout={recurrent_dropout})\n''' \ .format(units=layer['nodes'], activation=layer['activation_function'], recurrent_activation=layer['recurrent_activation_function'], use_bias=layer['use_bias'], dropout=layer['dropout'], recurrent_dropout=layer['recurrent_dropout']) elif layer['activation_function'] is None and layer['recurrent_activation'] is None: return_string += '''model.add(tf.keras.layers.LSTM(units={units}, activation={activation}, recurrent_activation={recurrent_activation}, use_bias={use_bias}, dropout={dropout}, recurrent_dropout={recurrent_dropout})\n''' \ .format(units=layer['nodes'], activation=layer['activation_function'], recurrent_activation=layer['recurrent_activation_function'], use_bias=layer['use_bias'], dropout=layer['dropout'], recurrent_dropout=layer['recurrent_dropout']) else: return_string += '''model.add(tf.keras.layers.LSTM(units={units}, activation=\'{activation}\', recurrent_activation=\'{recurrent_activation}\', use_bias={use_bias}, dropout={dropout}, recurrent_dropout={recurrent_dropout})\n''' \ .format(units=layer['nodes'], activation=layer['activation_function'], recurrent_activation=layer['recurrent_activation_function'], use_bias=layer['use_bias'], dropout=layer['dropout'], recurrent_dropout=layer['recurrent_dropout']) elif layer['type'] == 'gru': if layer['activation_function'] is None and layer['recurrent_activation'] is not None: return_string += '''model.add(tf.keras.layers.GRU(units={units}, activation={activation}, recurrent_activation=\'{recurrent_activation}\', use_bias={use_bias}, dropout={dropout}, recurrent_dropout={recurrent_dropout})\n''' \ .format(units=layer['nodes'], activation=layer['activation_function'], recurrent_activation=layer['recurrent_activation_function'], use_bias=layer['use_bias'], dropout=layer['dropout'], recurrent_dropout=layer['recurrent_dropout']) elif layer['activation_function'] is not None and layer['recurrent_activation'] is None: return_string += '''model.add(tf.keras.layers.GRU(units={units}, activation=\'{activation}\', recurrent_activation={recurrent_activation}, use_bias={use_bias}, dropout={dropout}, recurrent_dropout={recurrent_dropout})\n''' \ .format(units=layer['nodes'], activation=layer['activation_function'], recurrent_activation=layer['recurrent_activation_function'], use_bias=layer['use_bias'], dropout=layer['dropout'], recurrent_dropout=layer['recurrent_dropout']) elif layer['activation_function'] is None and layer['recurrent_activation'] is None: return_string += '''model.add(tf.keras.layers.GRU(units={units}, activation={activation}, recurrent_activation={recurrent_activation}, use_bias={use_bias}, dropout={dropout}, recurrent_dropout={recurrent_dropout})\n''' \ .format(units=layer['nodes'], activation=layer['activation_function'], recurrent_activation=layer['recurrent_activation_function'], use_bias=layer['use_bias'], dropout=layer['dropout'], recurrent_dropout=layer['recurrent_dropout']) else: return_string += '''model.add(tf.keras.layers.GRU(units={units}, activation=\'{activation}\', recurrent_activation=\'{recurrent_activation}\', use_bias={use_bias}, dropout={dropout}, recurrent_dropout={recurrent_dropout})\n''' \ .format(units=layer['nodes'], activation=layer['activation_function'], recurrent_activation=layer['recurrent_activation_function'], use_bias=layer['use_bias'], dropout=layer['dropout'], recurrent_dropout=layer['recurrent_dropout']) return return_string def add_compile_fit(optimizer, x_train, y_train, loss, batch_size, epochs): if optimizer is None and loss is not None: return_string = '''model.compile(optimizer={optimizer}, loss=\'{loss}\')\n''' \ .format(optimizer=optimizer, loss=loss) elif optimizer is not None and loss is None: return_string = '''model.compile(optimizer=\'{optimizer}\', loss={loss})\n''' \ .format(optimizer=optimizer, loss=loss) elif optimizer is None and loss is None: return_string = '''model.compile(optimizer={optimizer}, loss={loss})\n''' \ .format(optimizer=optimizer, loss=loss) else: return_string = '''model.compile(optimizer=\'{optimizer}\', loss={loss})\n''' \ .format(optimizer=optimizer, loss=loss) if x_train is None or y_train is None: return_string += '''model.fit( # x_train, # y_train, batch_size={batch_size}, epochs={epochs} )\n''' \ .format(batch_size=batch_size, epochs=epochs) else: return_string += '''model.fit(x_train, y_train, batch_size={batch_size}, epochs={epochs})\n''' \ .format(batch_size=batch_size, epochs=epochs) return return_string def generate_template(layers, loss='mse', optimizer='sgd', x_train=None, y_train=None, batch_size=32, epochs=10): template = '''import tensorflow as tf\n''' template += add_layers(layers) template += add_compile_fit(optimizer, x_train, y_train, loss, batch_size, epochs) return template # TEST '''layers = [{'type': 'dense', 'nodes': 10, 'activation_function': None, 'use_bias': True}, {'type': 'dense', 'nodes': 5, 'activation_function': 'relu', 'use_bias': True}] print(generate_template(layers=layers))'''
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6
60625155c9f8f5e0e8125bcce015c57d8bd87c7f
14,886
py
Python
app/tests/v2/system-tests/test_incidents.py
GraceKiarie/iReporter
1011f878f9fb643798192aeed1b68c3e6de4dedc
[ "MIT" ]
1
2018-12-14T09:52:39.000Z
2018-12-14T09:52:39.000Z
app/tests/v2/system-tests/test_incidents.py
GraceKiarie/iReporter
1011f878f9fb643798192aeed1b68c3e6de4dedc
[ "MIT" ]
6
2018-12-08T11:15:46.000Z
2018-12-15T11:04:36.000Z
app/tests/v2/system-tests/test_incidents.py
GraceKiarie/iReporter
1011f878f9fb643798192aeed1b68c3e6de4dedc
[ "MIT" ]
5
2018-12-04T11:00:54.000Z
2019-06-13T12:53:50.000Z
"""Test for methods applied to Red Flags""" import json from app.tests.v2.base import BaseTestCase class TestIncidentsTestCase(BaseTestCase): """Tests for redflags""" def signup(self): """ create a test user """ response = self.app.post('/api/v2/auth/signup/', data=json.dumps(self.person_existing_user), headers={'content-type': 'application/json'} ) return response def login(self): """ sign in a user """ response = self.app.post('api/v2/auth/login/', data=json.dumps(self.correct_login1), headers={'content-type': 'application/json'}) return response def get_jwt_token(self): """ get jwt token """ self.signup() t = self.login() data = json.loads(t.get_data()) self.data = data.get("data")[0] self.token = self.data.get('token') return self.token def post_incident(self, data): """ post a redflag """ self.get_jwt_token() token = self.token redflag = self.app.post('/api/v2/incidents/', data=json.dumps(data), headers={'content-type': 'application/json', 'Authorization': token}) return redflag def put_incident(self, data): """ post a redflag """ self.get_jwt_token() token = self.token redflag = self.app.put('/api/v2/incidents/1/', data=json.dumps(data), headers={'content-type': 'application/json', 'Authorization': token}) return redflag def patch_comment(self, id, data): """ post a redflag """ self.get_jwt_token() token = self.token redflag = self.app.patch('/api/v2/incidents/'+id+'/comment', data=json.dumps(data), headers={'content-type': 'application/json', 'Authorization': token}) return redflag def patch_location(self, id, data): """ post a redflag """ self.get_jwt_token() token = self.token redflag = self.app.patch('/api/v2/incidents/'+id+'/location', data=json.dumps(data), headers={'content-type': 'application/json', 'Authorization': token}) return redflag def patch_status(self, id, data): """ post a redflag """ self.get_jwt_token() token = self.token redflag = self.app.patch('/api/v2/incidents/'+id+'/status', data=json.dumps(data), headers={'content-type': 'application/json', 'Authorization': token}) return redflag def test_app_works(self): response = self.app.get('api/v2') self.assertEqual(response.status_code, 301) def test_post_incident(self): """Test for posting an incident""" # correct request response = self.post_incident(self.red_flag2) self.assertEqual(response.status_code, 201) data = json.loads(response.get_data()) self.assertEqual(data['message'], 'Created incident successfully!') def test_post_incident_exists(self): """Test for posting an incident twice""" # correct request self.post_incident(self.red_flag2) response = self.post_incident(self.red_flag2) self.assertEqual(response.status_code, 400) data = json.loads(response.get_data()) self.assertEqual(data['error'], 'Incident already exists') def test_missing_token(self): """Test for posting an incident""" # correct request response = self.app.post('/api/v2/incidents/', data=json.dumps(self.red_flag3), headers={'content-type': 'application/json'}) self.assertEqual(response.status_code, 401) data = json.loads(response.get_data()) self.assertEqual(data['message'], 'Missing Authorization Header') def test_post_incident_not_json(self): """Test for posting an incident""" response = self.post_incident(self.red_flag3) self.assertEqual(response.status_code, 400) data = json.loads(response.get_data()) self.assertEqual(data['message'], 'Input payload validation failed') def test_new_incident_no_title(self): """Test for posting a redflag without title""" #no title response = self.post_incident(self.redflag_no_title) self.assertEqual(response.status_code, 400) data = json.loads(response.get_data()) self.assertEqual(data['error'],"Title is invalid or empty") def test_new_incident_no_comment(self): """Test for posting a redflag without a body""" #no description response = self.post_incident(self.redflag_no_comment) self.assertEqual(response.status_code, 400) data = json.loads(response.get_data()) self.assertEqual(data['error'], 'description is invalid or empty') def test_new_incident_invalid_image(self): """Test for posting a redflag without a vali link image""" #no body response = self.post_incident(self.redflag_invalid_image) self.assertEqual(response.status_code, 400) data = json.loads(response.get_data()) self.assertEqual(data['error'], 'Images link is invalid') def test_new_incident_invalid_video(self): """Test for posting a redflag without a valid link video""" #no body response = self.post_incident(self.redflag_invalid_video) self.assertEqual(response.status_code, 400) data = json.loads(response.get_data()) self.assertEqual(data['error'], 'Video link is invalid') def test_new_incident_invalid_location(self): """Test for posting a redflag without a vali location image""" #no body response = self.post_incident(self.redflag_invalid_location) self.assertEqual(response.status_code, 400) data = json.loads(response.get_data()) self.assertEqual(data['error'], 'location input is invalid') def test_new_incident_invalid_type(self): """Test for posting a redflag without a valid type""" #no body response = self.post_incident(self.redflag_invalid_type) self.assertEqual(response.status_code, 400) data = json.loads(response.get_data()) self.assertEqual(data['error'], 'Type is invalid or empty') def test_view_all_incidents(self): """Test for viewing all incidents""" self.post_incident(self.red_flag) response = self.app.get('/api/v2/incidents/') self.assertEqual(response.status_code, 200) data = json.loads(response.get_data()) self.assertEqual(data['message'], "All incidents found successfully") def test_view_an_incident(self): """Test for vieving a particular redflag""" # existing redflag self.post_incident(self.red_flag) response = self.app.get('/api/v2/incidents/1/') self.assertEqual(response.status_code, 200) data = json.loads(response.get_data()) self.assertEqual(data['message'], "Incident successfully retrieved!") def test_view_incident_not_found(self): """Test for viewing an incident that does not exist""" # redflag does not exist response = self.app.get('/api/v2/incidents/1344/') self.assertEqual(response.status_code, 404) data = json.loads(response.get_data()) self.assertEqual(data['error'], "Incident not found") def test_modify_location(self): """Test for modifying an incident location """ self.post_incident(self.red_flag) response = self.patch_location('1',self.redflag_location) self.assertEqual(response.status_code, 200) data = json.loads(response.get_data()) self.assertEqual(data['message'], "location successfully updated") def test_modify_bad_location(self): """Test for modifying an incident location """ self.post_incident(self.red_flag) response = self.patch_location('1',self.redflag_location1) self.assertEqual(response.status_code, 400) data = json.loads(response.get_data()) self.assertEqual(data['error'], "location input format should be a valid lat n long pair") def test_modify_location_not_found(self): self.post_incident(self.red_flag) response = self.patch_location('120', self.update_redflag) self.assertEqual(response.status_code, 404) data = json.loads(response.get_data()) self.assertEqual(data['error'], "Incindent not found") def test_modify_comment(self): """Test for modifying an incident comment """ self.post_incident(self.red_flag) response = self.patch_comment('1',self.redflag_comment) self.assertEqual(response.status_code, 200) data = json.loads(response.get_data()) self.assertEqual(data['message'], "comment successfully updated") def test_modify_comment_not_found(self): self.post_incident(self.red_flag) response = self.patch_comment('120', self.update_redflag) self.assertEqual(response.status_code, 404) data = json.loads(response.get_data()) self.assertEqual(data['error'], "Incindent not found") def test_delete_an_incident(self): """Test for deleting a redflag""" self.post_incident(self.red_flag) token = self.token response = self.app.delete('/api/v2/incidents/1/', headers={'content-type': 'application/json', 'Authorization': token}) self.assertEqual(response.status_code, 200) def test_delete_incident_not_found(self): self.post_incident(self.red_flag) token = self.token response = self.app.delete('/api/v2/incidents/2222/', headers={'content-type': 'application/json', 'Authorization': token}) self.assertEqual(response.status_code, 404) data = json.loads(response.get_data()) self.assertEqual(data['error'], "Incident not found") def test_not_allowed(self): self.post_incident(self.red_flag) token = self.token response = self.app.patch('/api/v2/incidents/2222/', headers={'content-type': 'application/json', 'Authorization': token}) self.assertEqual(response.status_code, 405) data = json.loads(response.get_data()) self.assertEqual(data['error'], "Method is not allowed on this url") def test_update_incident(self): """Test for updating an incident""" # correct request self.post_incident(self.red_flag2) response = self.put_incident(self.update_redflag) self.assertEqual(response.status_code, 200) data = json.loads(response.get_data()) self.assertEqual(data['message'], 'Incident updated successfully!') def test_update_incident_no_title(self): """Test for updating an incident""" self.post_incident(self.red_flag2) response = self.put_incident( self.redflag_no_title) self.assertEqual(response.status_code, 400) data = json.loads(response.get_data()) self.assertEqual(data['error'], 'Title is invalid or empty') def test_update_incident_no_image(self): """Test for updating an incident""" self.post_incident(self.red_flag2) response = self.put_incident( self.redflag_invalid_image) self.assertEqual(response.status_code, 400) data = json.loads(response.get_data()) self.assertEqual(data['error'], 'Images link is invalid') def test_update_incident_no_location(self): """Test for updating an incident""" self.post_incident(self.red_flag2) response = self.put_incident( self.redflag_invalid_location ) self.assertEqual(response.status_code, 400) data = json.loads(response.get_data()) self.assertEqual(data['error'], 'location input is invalid') def test_update_incident_no_comment(self): """Test for updating an incident""" self.post_incident(self.red_flag2) response = self.put_incident( self.redflag_no_comment ) self.assertEqual(response.status_code, 400) data = json.loads(response.get_data()) self.assertEqual(data['error'], 'comment is invalid or empty') def test_update_incident_not_found(self): """Test for updating an incident""" self.post_incident(self.red_flag2) token = self.token response = self.app.put('/api/v2/incidents/123/', data=json.dumps(self.red_flag ), headers={'content-type': 'application/json', 'Authorization': token}) self.assertEqual(response.status_code, 404) data = json.loads(response.get_data()) self.assertEqual(data['error'], 'Incindent not found') def test_update_incident_not_json(self): """Test for updating an incident""" self.post_incident(self.red_flag2) response = self.put_incident(self.red_flag3) self.assertEqual(response.status_code, 400) data = json.loads(response.get_data()) self.assertEqual(data['message'], 'Input payload validation failed') def test_modify_status(self): """Test for modifying an incident location """ self.post_incident(self.red_flag) response = self.patch_status('1',self.status_Resolved) self.assertEqual(response.status_code, 403) data = json.loads(response.get_data()) self.assertEqual(data['error'], "you do not have permission to do that!") def test_modify_location_not_status(self): self.post_incident(self.red_flag) response = self.patch_status('120', self.status_Rejected) self.assertEqual(response.status_code, 403) data = json.loads(response.get_data()) self.assertEqual(data['error'], "you do not have permission to do that!")
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0.764168
0.722692
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6
71569f00abad4bf8bde4418446f9c96b182f8f10
238
py
Python
Mechinmind/Article/admin.py
ayanshaikh18/MechInMind
69d272073d24407bfa97b99949e7c2b1c2dc28e8
[ "MIT" ]
null
null
null
Mechinmind/Article/admin.py
ayanshaikh18/MechInMind
69d272073d24407bfa97b99949e7c2b1c2dc28e8
[ "MIT" ]
null
null
null
Mechinmind/Article/admin.py
ayanshaikh18/MechInMind
69d272073d24407bfa97b99949e7c2b1c2dc28e8
[ "MIT" ]
null
null
null
from django.contrib import admin from markdownx.admin import MarkdownxModelAdmin from . import models admin.site.register(models.Category) admin.site.register(models.SubCategory) admin.site.register(models.Article, MarkdownxModelAdmin)
26.444444
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6.931034
0.448276
0.134328
0.253731
0.343284
0
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0.07563
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8
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0
6
7169d46edd8be0e34dfdf8f57ab7e71166442ce6
42,860
py
Python
tests/admin/clush-tests/CLINodesetTest.py
utdsimmons/ohpc
70dc728926a835ba049ddd3f4627ef08db7c95a0
[ "Apache-2.0" ]
692
2015-11-12T13:56:43.000Z
2022-03-30T03:45:59.000Z
tests/admin/clush-tests/CLINodesetTest.py
utdsimmons/ohpc
70dc728926a835ba049ddd3f4627ef08db7c95a0
[ "Apache-2.0" ]
1,096
2015-11-12T09:08:22.000Z
2022-03-31T21:48:41.000Z
tests/admin/clush-tests/CLINodesetTest.py
utdsimmons/ohpc
70dc728926a835ba049ddd3f4627ef08db7c95a0
[ "Apache-2.0" ]
224
2015-11-12T21:17:03.000Z
2022-03-30T00:57:48.000Z
#!/usr/bin/env python # scripts/nodeset.py tool test suite # Written by S. Thiell """Unit test for CLI/Nodeset.py""" import random import sys import unittest from TLib import * from ClusterShell.CLI.Nodeset import main from ClusterShell.NodeUtils import GroupResolverConfig from ClusterShell.NodeSet import std_group_resolver, set_std_group_resolver class CLINodesetTestBase(unittest.TestCase): """Base unit test class for testing CLI/Nodeset.py""" def _nodeset_t(self, args, input, expected_stdout, expected_rc=0, expected_stderr=None): CLI_main(self, main, [ 'nodeset' ] + args, input, expected_stdout, expected_rc, expected_stderr) class CLINodesetTest(CLINodesetTestBase): """Unit test class for testing CLI/Nodeset.py""" def _battery_count(self, args): self._nodeset_t(args + ["--count", "foo"], None, "1\n") self._nodeset_t(args + ["--count", "foo", "bar"], None, "2\n") self._nodeset_t(args + ["--count", "foo", "foo"], None, "1\n") self._nodeset_t(args + ["--count", "foo", "foo", "bar"], None, "2\n") self._nodeset_t(args + ["--count", "foo[0]"], None, "1\n") self._nodeset_t(args + ["--count", "foo[2]"], None, "1\n") self._nodeset_t(args + ["--count", "foo[1,2]"], None, "2\n") self._nodeset_t(args + ["--count", "foo[1-2]"], None, "2\n") self._nodeset_t(args + ["--count", "foo[1,2]", "foo[1-2]"], None, "2\n") self._nodeset_t(args + ["--count", "foo[1-200,245-394]"], None, "350\n") self._nodeset_t(args + ["--count", "foo[395-442]", "foo[1-200,245-394]"], None, "398\n") self._nodeset_t(args + ["--count", "foo[395-442]", "foo", "foo[1-200,245-394]"], None, "399\n") self._nodeset_t(args + ["--count", "foo[395-442]", "foo", "foo[0-200,245-394]"], None, "400\n") self._nodeset_t(args + ["--count", "foo[395-442]", "bar3,bar24", "foo[1-200,245-394]"], None, "400\n") # from stdin self._nodeset_t(args + ["--count"], "foo\n", "1\n") self._nodeset_t(args + ["--count"], "foo\nbar\n", "2\n") self._nodeset_t(args + ["--count"], "foo\nfoo\n", "1\n") self._nodeset_t(args + ["--count"], "foo\nfoo\nbar\n", "2\n") self._nodeset_t(args + ["--count"], "foo[0]\n", "1\n") self._nodeset_t(args + ["--count"], "foo[2]\n", "1\n") self._nodeset_t(args + ["--count"], "foo[1,2]\n", "2\n") self._nodeset_t(args + ["--count"], "foo[1-2]\n", "2\n") self._nodeset_t(args + ["--count"], "foo[1,2]\nfoo[1-2]\n", "2\n") self._nodeset_t(args + ["--count"], "foo[1-200,245-394]\n", "350\n") self._nodeset_t(args + ["--count"], "foo[395-442]\nfoo[1-200,245-394]\n", "398\n") self._nodeset_t(args + ["--count"], "foo[395-442]\nfoo\nfoo[1-200,245-394]\n", "399\n") self._nodeset_t(args + ["--count"], "foo[395-442]\nfoo\nfoo[0-200,245-394]\n", "400\n") self._nodeset_t(args + ["--count"], "foo[395-442]\nbar3,bar24\nfoo[1-200,245-394]\n", "400\n") def test_001_count(self): """test nodeset --count""" self._battery_count([]) self._battery_count(["--autostep=1"]) self._battery_count(["--autostep=2"]) self._battery_count(["--autostep=5"]) self._battery_count(["--autostep=auto"]) self._battery_count(["--autostep=0%"]) self._battery_count(["--autostep=50%"]) self._battery_count(["--autostep=100%"]) def test_002_count_intersection(self): """test nodeset --count --intersection""" self._nodeset_t(["--count", "foo", "--intersection", "bar"], None, "0\n") self._nodeset_t(["--count", "foo", "--intersection", "foo"], None, "1\n") self._nodeset_t(["--count", "foo", "--intersection", "foo", "-i", "bar"], None, "0\n") self._nodeset_t(["--count", "foo[0]", "--intersection", "foo0"], None, "1\n") self._nodeset_t(["--count", "foo[2]", "--intersection", "foo"], None, "0\n") self._nodeset_t(["--count", "foo[1,2]", "--intersection", "foo[1-2]"], None, "2\n") self._nodeset_t(["--count", "foo[395-442]", "--intersection", "foo[1-200,245-394]"], None, "0\n") self._nodeset_t(["--count", "foo[395-442]", "--intersection", "foo", "-i", "foo[1-200,245-394]"], None, "0\n") self._nodeset_t(["--count", "foo[395-442]", "-i", "foo", "-i", "foo[0-200,245-394]"], None, "0\n") self._nodeset_t(["--count", "foo[395-442]", "--intersection", "bar3,bar24", "-i", "foo[1-200,245-394]"], None, "0\n") def test_003_count_intersection_stdin(self): """test nodeset --count --intersection (stdin)""" self._nodeset_t(["--count", "--intersection", "bar"], "foo\n", "0\n") self._nodeset_t(["--count", "--intersection", "foo"], "foo\n", "1\n") self._nodeset_t(["--count", "--intersection", "foo", "-i", "bar"], "foo\n", "0\n") self._nodeset_t(["--count", "--intersection", "foo0"], "foo[0]\n", "1\n") self._nodeset_t(["--count", "--intersection", "foo"], "foo[2]\n", "0\n") self._nodeset_t(["--count", "--intersection", "foo[1-2]"], "foo[1,2]\n", "2\n") self._nodeset_t(["--count", "--intersection", "foo[1-200,245-394]"], "foo[395-442]\n", "0\n") self._nodeset_t(["--count", "--intersection", "foo", "-i", "foo[1-200,245-394]"], "foo[395-442]\n", "0\n") self._nodeset_t(["--count", "-i", "foo", "-i", "foo[0-200,245-394]"], "foo[395-442]\n", "0\n") self._nodeset_t(["--count", "--intersection", "bar3,bar24", "-i", "foo[1-200,245-394]"], "foo[395-442]\n", "0\n") def _battery_fold(self, args): self._nodeset_t(args + ["--fold", "foo"], None, "foo\n") self._nodeset_t(args + ["--fold", "foo", "bar"], None, "bar,foo\n") self._nodeset_t(args + ["--fold", "foo", "foo"], None, "foo\n") self._nodeset_t(args + ["--fold", "foo", "foo", "bar"], None, "bar,foo\n") self._nodeset_t(args + ["--fold", "foo[0]"], None, "foo0\n") self._nodeset_t(args + ["--fold", "foo[2]"], None, "foo2\n") self._nodeset_t(args + ["--fold", "foo[1,2]"], None, "foo[1-2]\n") self._nodeset_t(args + ["--fold", "foo[1-2]"], None, "foo[1-2]\n") self._nodeset_t(args + ["--fold", "foo[1,2]", "foo[1-2]"], None, "foo[1-2]\n") self._nodeset_t(args + ["--fold", "foo[1-200,245-394]"], None, "foo[1-200,245-394]\n") self._nodeset_t(args + ["--fold", "foo[395-442]", "foo[1-200,245-394]"], None, "foo[1-200,245-442]\n") self._nodeset_t(args + ["--fold", "foo[395-442]", "foo", "foo[1-200,245-394]"], None, "foo,foo[1-200,245-442]\n") self._nodeset_t(args + ["--fold", "foo[395-442]", "foo", "foo[0-200,245-394]"], None, "foo,foo[0-200,245-442]\n") self._nodeset_t(args + ["--fold", "foo[395-442]", "bar3,bar24", "foo[1-200,245-394]"], None, "bar[3,24],foo[1-200,245-442]\n") # stdin self._nodeset_t(args + ["--fold"], "foo\n", "foo\n") self._nodeset_t(args + ["--fold"], "foo\nbar\n", "bar,foo\n") self._nodeset_t(args + ["--fold"], "foo\nfoo\n", "foo\n") self._nodeset_t(args + ["--fold"], "foo\nfoo\nbar\n", "bar,foo\n") self._nodeset_t(args + ["--fold"], "foo[0]\n", "foo0\n") self._nodeset_t(args + ["--fold"], "foo[2]\n", "foo2\n") self._nodeset_t(args + ["--fold"], "foo[1,2]\n", "foo[1-2]\n") self._nodeset_t(args + ["--fold"], "foo[1-2]\n", "foo[1-2]\n") self._nodeset_t(args + ["--fold"], "foo[1,2]\nfoo[1-2]\n", "foo[1-2]\n") self._nodeset_t(args + ["--fold"], "foo[1-200,245-394]\n", "foo[1-200,245-394]\n") self._nodeset_t(args + ["--fold"], "foo[395-442]\nfoo[1-200,245-394]\n", "foo[1-200,245-442]\n") self._nodeset_t(args + ["--fold"], "foo[395-442]\nfoo\nfoo[1-200,245-394]\n", "foo,foo[1-200,245-442]\n") self._nodeset_t(args + ["--fold"], "foo[395-442]\nfoo\nfoo[0-200,245-394]\n", "foo,foo[0-200,245-442]\n") self._nodeset_t(args + ["--fold"], "foo[395-442]\nbar3,bar24\nfoo[1-200,245-394]\n", "bar[3,24],foo[1-200,245-442]\n") def test_004_fold(self): """test nodeset --fold""" self._battery_fold([]) self._battery_fold(["--autostep=3"]) # --autostep=auto (1.7) self._battery_fold(["--autostep=auto"]) self._battery_count(["--autostep=0%"]) self._battery_count(["--autostep=50%"]) self._battery_count(["--autostep=100%"]) def test_005_fold_autostep(self): """test nodeset --fold --autostep=X""" self._nodeset_t(["--autostep=2", "-f", "foo0", "foo2", "foo4", "foo6"], None, "foo[0-6/2]\n") self._nodeset_t(["--autostep=2", "-f", "foo4", "foo2", "foo0", "foo6"], None, "foo[0-6/2]\n") self._nodeset_t(["--autostep=3", "-f", "foo0", "foo2", "foo4", "foo6"], None, "foo[0-6/2]\n") self._nodeset_t(["--autostep=4", "-f", "foo0", "foo2", "foo4", "foo6"], None, "foo[0-6/2]\n") self._nodeset_t(["--autostep=5", "-f", "foo0", "foo2", "foo4", "foo6"], None, "foo[0,2,4,6]\n") self._nodeset_t(["--autostep=auto", "-f", "foo0", "foo2", "foo4", "foo6"], None, "foo[0-6/2]\n") self._nodeset_t(["--autostep=auto", "-f", "foo4", "foo2", "foo0", "foo6"], None, "foo[0-6/2]\n") self._nodeset_t(["--autostep=auto", "-f", "foo4", "foo2", "foo0", "foo2", "foo6"], None, "foo[0-6/2]\n") self._nodeset_t(["--autostep=auto", "-f", "foo4", "foo2", "foo0", "foo5", "foo6"], None, "foo[0,2,4-6]\n") self._nodeset_t(["--autostep=auto", "-f", "foo4", "foo2", "foo0", "foo9", "foo6"], None, "foo[0,2,4,6,9]\n") self._nodeset_t(["--autostep=75%", "-f", "foo0", "foo2", "foo4", "foo6"], None, "foo[0-6/2]\n") self._nodeset_t(["--autostep=75%", "-f", "foo4", "foo2", "foo0", "foo6"], None, "foo[0-6/2]\n") self._nodeset_t(["--autostep=80%", "-f", "foo4", "foo2", "foo0", "foo2", "foo6"], None, "foo[0-6/2]\n") self._nodeset_t(["--autostep=80%", "-f", "foo4", "foo2", "foo0", "foo5", "foo6"], None, "foo[0,2,4-6]\n") self._nodeset_t(["--autostep=80%", "-f", "foo4", "foo2", "foo0", "foo9", "foo6"], None, "foo[0-6/2,9]\n") self._nodeset_t(["--autostep=81%", "-f", "foo4", "foo2", "foo0", "foo9", "foo6"], None, "foo[0,2,4,6,9]\n") self._nodeset_t(["--autostep=100%", "-f", "foo4", "foo2", "foo0", "foo9", "foo6"], None, "foo[0,2,4,6,9]\n") def test_006_expand(self): """test nodeset --expand""" self._nodeset_t(["--expand", "foo"], None, "foo\n") self._nodeset_t(["--expand", "foo", "bar"], None, "bar foo\n") self._nodeset_t(["--expand", "foo", "foo"], None, "foo\n") self._nodeset_t(["--expand", "foo[0]"], None, "foo0\n") self._nodeset_t(["--expand", "foo[2]"], None, "foo2\n") self._nodeset_t(["--expand", "foo[1,2]"], None, "foo1 foo2\n") self._nodeset_t(["--expand", "foo[1-2]"], None, "foo1 foo2\n") self._nodeset_t(["--expand", "foo[1-2],bar"], None, "bar foo1 foo2\n") def test_007_expand_stdin(self): """test nodeset --expand (stdin)""" self._nodeset_t(["--expand"], "foo\n", "foo\n") self._nodeset_t(["--expand"], "foo\nbar\n", "bar foo\n") self._nodeset_t(["--expand"], "foo\nfoo\n", "foo\n") self._nodeset_t(["--expand"], "foo[0]\n", "foo0\n") self._nodeset_t(["--expand"], "foo[2]\n", "foo2\n") self._nodeset_t(["--expand"], "foo[1,2]\n", "foo1 foo2\n") self._nodeset_t(["--expand"], "foo[1-2]\n", "foo1 foo2\n") self._nodeset_t(["--expand"], "foo[1-2],bar\n", "bar foo1 foo2\n") def test_008_expand_separator(self): """test nodeset --expand -S""" self._nodeset_t(["--expand", "-S", ":", "foo"], None, "foo\n") self._nodeset_t(["--expand", "-S", ":", "foo", "bar"], None, "bar:foo\n") self._nodeset_t(["--expand", "--separator", ":", "foo", "bar"], None, "bar:foo\n") self._nodeset_t(["--expand", "--separator=:", "foo", "bar"], None, "bar:foo\n") self._nodeset_t(["--expand", "-S", ":", "foo", "foo"], None, "foo\n") self._nodeset_t(["--expand", "-S", ":", "foo[0]"], None, "foo0\n") self._nodeset_t(["--expand", "-S", ":", "foo[2]"], None, "foo2\n") self._nodeset_t(["--expand", "-S", ":", "foo[1,2]"], None, "foo1:foo2\n") self._nodeset_t(["--expand", "-S", ":", "foo[1-2]"], None, "foo1:foo2\n") self._nodeset_t(["--expand", "-S", " ", "foo[1-2]"], None, "foo1 foo2\n") self._nodeset_t(["--expand", "-S", ",", "foo[1-2],bar"], None, "bar,foo1,foo2\n") self._nodeset_t(["--expand", "-S", "uuu", "foo[1-2],bar"], None, "baruuufoo1uuufoo2\n") self._nodeset_t(["--expand", "-S", "\\n", "foo[1-2]"], None, "foo1\nfoo2\n") def test_009_fold_xor(self): """test nodeset --fold --xor""" self._nodeset_t(["--fold", "foo", "-X", "bar"], None, "bar,foo\n") self._nodeset_t(["--fold", "foo", "-X", "foo"], None, "\n") self._nodeset_t(["--fold", "foo[1,2]", "-X", "foo[1-2]"], None, "\n") self._nodeset_t(["--fold", "foo[1-10]", "-X", "foo[5-15]"], None, "foo[1-4,11-15]\n") self._nodeset_t(["--fold", "foo[395-442]", "-X", "foo[1-200,245-394]"], None, "foo[1-200,245-442]\n") self._nodeset_t(["--fold", "foo[395-442]", "-X", "foo", "-X", "foo[1-200,245-394]"], None, "foo,foo[1-200,245-442]\n") self._nodeset_t(["--fold", "foo[395-442]", "-X", "foo", "-X", "foo[0-200,245-394]"], None, "foo,foo[0-200,245-442]\n") self._nodeset_t(["--fold", "foo[395-442]", "-X", "bar3,bar24", "-X", "foo[1-200,245-394]"], None, "bar[3,24],foo[1-200,245-442]\n") def test_010_fold_xor_stdin(self): """test nodeset --fold --xor (stdin)""" self._nodeset_t(["--fold", "-X", "bar"], "foo\n", "bar,foo\n") self._nodeset_t(["--fold", "-X", "foo"], "foo\n", "\n") self._nodeset_t(["--fold", "-X", "foo[1-2]"], "foo[1,2]\n", "\n") self._nodeset_t(["--fold", "-X", "foo[5-15]"], "foo[1-10]\n", "foo[1-4,11-15]\n") self._nodeset_t(["--fold", "-X", "foo[1-200,245-394]"], "foo[395-442]\n", "foo[1-200,245-442]\n") self._nodeset_t(["--fold", "-X", "foo", "-X", "foo[1-200,245-394]"], "foo[395-442]\n", "foo,foo[1-200,245-442]\n") self._nodeset_t(["--fold", "-X", "foo", "-X", "foo[0-200,245-394]"], "foo[395-442]\n", "foo,foo[0-200,245-442]\n") self._nodeset_t(["--fold", "-X", "bar3,bar24", "-X", "foo[1-200,245-394]"], "foo[395-442]\n", "bar[3,24],foo[1-200,245-442]\n") # using stdin for -X self._nodeset_t(["-f","foo[2-4]","-X","-"], "foo4 foo5 foo6\n", "foo[2-3,5-6]\n") self._nodeset_t(["-f","-X","-","foo[1-6]"], "foo4 foo5 foo6\n", "foo[1-6]\n") def test_011_fold_exclude(self): """test nodeset --fold --exclude""" # Empty result self._nodeset_t(["--fold", "foo", "-x", "foo"], None, "\n") # With no range self._nodeset_t(["--fold", "foo,bar", "-x", "foo"], None, "bar\n") # Normal with range self._nodeset_t(["--fold", "foo[0-5]", "-x", "foo[0-10]"], None, "\n") self._nodeset_t(["--fold", "foo[0-10]", "-x", "foo[0-5]"], None, "foo[6-10]\n") # Do no change self._nodeset_t(["--fold", "foo[6-10]", "-x", "bar[0-5]"], None, "foo[6-10]\n") self._nodeset_t(["--fold", "foo[0-10]", "foo[13-18]", "--exclude", "foo[5-10,15]"], None, "foo[0-4,13-14,16-18]\n") def test_012_fold_exclude_stdin(self): """test nodeset --fold --exclude (stdin)""" # Empty result self._nodeset_t(["--fold", "-x", "foo"], "", "\n") self._nodeset_t(["--fold", "-x", "foo"], "\n", "\n") self._nodeset_t(["--fold", "-x", "foo"], "foo\n", "\n") # With no range self._nodeset_t(["--fold", "-x", "foo"], "foo,bar\n", "bar\n") # Normal with range self._nodeset_t(["--fold", "-x", "foo[0-10]"], "foo[0-5]\n", "\n") self._nodeset_t(["--fold", "-x", "foo[0-5]"], "foo[0-10]\n", "foo[6-10]\n") # Do no change self._nodeset_t(["--fold", "-x", "bar[0-5]"], "foo[6-10]\n", "foo[6-10]\n") self._nodeset_t(["--fold", "--exclude", "foo[5-10,15]"], "foo[0-10]\nfoo[13-18]\n", "foo[0-4,13-14,16-18]\n") # using stdin for -x self._nodeset_t(["-f","foo[1-6]","-x","-"], "foo4 foo5 foo6\n", "foo[1-3]\n") self._nodeset_t(["-f","-x","-","foo[1-6]"], "foo4 foo5 foo6\n", "foo[1-6]\n") def test_013_fold_intersection(self): """test nodeset --fold --intersection""" # Empty result self._nodeset_t(["--fold", "foo", "-i", "foo"], None, "foo\n") # With no range self._nodeset_t(["--fold", "foo,bar", "--intersection", "foo"], None, "foo\n") # Normal with range self._nodeset_t(["--fold", "foo[0-5]", "-i", "foo[0-10]"], None, "foo[0-5]\n") self._nodeset_t(["--fold", "foo[0-10]", "-i", "foo[0-5]"], None, "foo[0-5]\n") self._nodeset_t(["--fold", "foo[6-10]", "-i", "bar[0-5]"], None, "\n") self._nodeset_t(["--fold", "foo[0-10]", "foo[13-18]", "-i", "foo[5-10,15]"], None, "foo[5-10,15]\n") # numerical bracket folding (#228) self._nodeset_t(["--fold", "node123[1-2]", "-i", "node1232"], None, "node1232\n") self._nodeset_t(["--fold", "node023[1-2]0", "-i", "node02320"], None, "node02320\n") self._nodeset_t(["--fold", "node023[1-2]0-ipmi2", "-i", "node02320-ipmi2"], None, "node02320-ipmi2\n") def test_014_fold_intersection_stdin(self): """test nodeset --fold --intersection (stdin)""" # Empty result self._nodeset_t(["--fold", "--intersection", "foo"], "", "\n") self._nodeset_t(["--fold", "--intersection", "foo"], "\n", "\n") self._nodeset_t(["--fold", "-i", "foo"], "foo\n", "foo\n") # With no range self._nodeset_t(["--fold", "-i", "foo"], "foo,bar\n", "foo\n") # Normal with range self._nodeset_t(["--fold", "-i", "foo[0-10]"], "foo[0-5]\n", "foo[0-5]\n") self._nodeset_t(["--fold", "-i", "foo[0-5]"], "foo[0-10]\n", "foo[0-5]\n") # Do no change self._nodeset_t(["--fold", "-i", "bar[0-5]"], "foo[6-10]\n", "\n") self._nodeset_t(["--fold", "-i", "foo[5-10,15]"], "foo[0-10]\nfoo[13-18]\n", "foo[5-10,15]\n") # using stdin for -i self._nodeset_t(["-f","foo[1-6]","-i","-"], "foo4 foo5 foo6\n", "foo[4-6]\n") self._nodeset_t(["-f","-i","-","foo[1-6]"], "foo4 foo5 foo6\n", "foo[1-6]\n") # numerical bracket folding (#228) self._nodeset_t(["--fold", "-i", "node123[1-2]"], "node1232\n", "node1232\n") self._nodeset_t(["--fold", "-i", "node023[1-2]0"], "node02320\n", "node02320\n") self._nodeset_t(["--fold", "-i", "node023[1-2]0-ipmi2"], "node02320-ipmi2\n", "node02320-ipmi2\n") def test_015_rangeset(self): """test nodeset --rangeset""" self._nodeset_t(["--fold","--rangeset","1,2"], None, "1-2\n") self._nodeset_t(["--expand","-R","1-2"], None, "1 2\n") self._nodeset_t(["--fold","-R","1-2","-X","2-3"], None, "1,3\n") def test_016_rangeset_stdin(self): """test nodeset --rangeset (stdin)""" self._nodeset_t(["--fold","--rangeset"], "1,2\n", "1-2\n") self._nodeset_t(["--expand","-R"], "1-2\n", "1 2\n") self._nodeset_t(["--fold","-R","-X","2-3"], "1-2\n", "1,3\n") def test_017_stdin(self): """test nodeset - (stdin)""" self._nodeset_t(["-f","-"], "foo\n", "foo\n") self._nodeset_t(["-f","-"], "foo1 foo2 foo3\n", "foo[1-3]\n") self._nodeset_t(["--autostep=2", "-f"], "foo0 foo2 foo4 foo6\n", "foo[0-6/2]\n") self._nodeset_t(["--autostep=auto", "-f"], "foo0 foo2 foo4 foo6\n", "foo[0-6/2]\n") self._nodeset_t(["--autostep=100%", "-f"], "foo0 foo2 foo4 foo6\n", "foo[0-6/2]\n") self._nodeset_t(["--autostep=0%", "-f"], "foo0 foo2 foo4 foo6\n", "foo[0-6/2]\n") def test_018_split(self): """test nodeset --split""" self._nodeset_t(["--split=2","-f", "bar"], None, "bar\n") self._nodeset_t(["--split", "2","-f", "foo,bar"], None, "bar\nfoo\n") self._nodeset_t(["--split", "2","-e", "foo", "bar", "bur", "oof", "gcc"], None, "bar bur foo\ngcc oof\n") self._nodeset_t(["--split=2","-f", "foo[2-9]"], None, "foo[2-5]\nfoo[6-9]\n") self._nodeset_t(["--split=2","-f", "foo[2-3,7]", "bar9"], None, "bar9,foo2\nfoo[3,7]\n") self._nodeset_t(["--split=3","-f", "foo[2-9]"], None, "foo[2-4]\nfoo[5-7]\nfoo[8-9]\n") self._nodeset_t(["--split=1","-f", "foo2", "foo3"], None, "foo[2-3]\n") self._nodeset_t(["--split=4","-f", "foo[2-3]"], None, "foo2\nfoo3\n") self._nodeset_t(["--split=4","-f", "foo3", "foo2"], None, "foo2\nfoo3\n") self._nodeset_t(["--split=2","-e", "foo[2-9]"], None, "foo2 foo3 foo4 foo5\nfoo6 foo7 foo8 foo9\n") self._nodeset_t(["--split=3","-e", "foo[2-9]"], None, "foo2 foo3 foo4\nfoo5 foo6 foo7\nfoo8 foo9\n") self._nodeset_t(["--split=1","-e", "foo3", "foo2"], None, "foo2 foo3\n") self._nodeset_t(["--split=4","-e", "foo[2-3]"], None, "foo2\nfoo3\n") self._nodeset_t(["--split=4","-e", "foo2", "foo3"], None, "foo2\nfoo3\n") self._nodeset_t(["--split=2","-c", "foo2", "foo3"], None, "1\n1\n") def test_019_contiguous(self): """test nodeset --contiguous""" self._nodeset_t(["--contiguous", "-f", "bar"], None, "bar\n") self._nodeset_t(["--contiguous", "-f", "foo,bar"], None, "bar\nfoo\n") self._nodeset_t(["--contiguous", "-f", "foo", "bar", "bur", "oof", "gcc"], None, "bar\nbur\nfoo\ngcc\noof\n") self._nodeset_t(["--contiguous", "-e", "foo", "bar", "bur", "oof", "gcc"], None, "bar\nbur\nfoo\ngcc\noof\n") self._nodeset_t(["--contiguous", "-f", "foo2"], None, "foo2\n") self._nodeset_t(["--contiguous", "-R", "-f", "2"], None, "2\n") self._nodeset_t(["--contiguous", "-f", "foo[2-9]"], None, "foo[2-9]\n") self._nodeset_t(["--contiguous", "-f", "foo[2-3,7]", "bar9"], None, "bar9\nfoo[2-3]\nfoo7\n") self._nodeset_t(["--contiguous", "-R", "-f", "2-3,7", "9"], None, "2-3\n7\n9\n") self._nodeset_t(["--contiguous", "-f", "foo2", "foo3"], None, "foo[2-3]\n") self._nodeset_t(["--contiguous", "-f", "foo3", "foo2"], None, "foo[2-3]\n") self._nodeset_t(["--contiguous", "-f", "foo3", "foo1"], None, "foo1\nfoo3\n") self._nodeset_t(["--contiguous", "-f", "foo[1-5/2]", "foo7"], None, "foo1\nfoo3\nfoo5\nfoo7\n") def test_020_slice(self): """test nodeset -I/--slice""" self._nodeset_t(["--slice=0","-f", "bar"], None, "bar\n") self._nodeset_t(["--slice=0","-e", "bar"], None, "bar\n") self._nodeset_t(["--slice=1","-f", "bar"], None, "\n") self._nodeset_t(["--slice=0-1","-f", "bar"], None, "bar\n") self._nodeset_t(["-I0","-f", "bar[34-68,89-90]"], None, "bar34\n") self._nodeset_t(["-R", "-I0","-f", "34-68,89-90"], None, "34\n") self._nodeset_t(["-I 0","-f", "bar[34-68,89-90]"], None, "bar34\n") self._nodeset_t(["-I 0","-e", "bar[34-68,89-90]"], None, "bar34\n") self._nodeset_t(["-I 0-3","-f", "bar[34-68,89-90]"], None, "bar[34-37]\n") self._nodeset_t(["-I 0-3","-f", "bar[34-68,89-90]", "-x", "bar34"], None, "bar[35-38]\n") self._nodeset_t(["-I 0-3","-f", "bar[34-68,89-90]", "-x", "bar35"], None, "bar[34,36-38]\n") self._nodeset_t(["-I 0-3","-e", "bar[34-68,89-90]"], None, "bar34 bar35 bar36 bar37\n") self._nodeset_t(["-I 3,1,0,2","-f", "bar[34-68,89-90]"], None, "bar[34-37]\n") self._nodeset_t(["-I 1,3,7,10,16,20,30,34-35,37","-f", "bar[34-68,89-90]"], None, "bar[35,37,41,44,50,54,64,68,89]\n") self._nodeset_t(["-I 8","-f", "bar[34-68,89-90]"], None, "bar42\n") self._nodeset_t(["-I 8-100","-f", "bar[34-68,89-90]"], None, "bar[42-68,89-90]\n") self._nodeset_t(["-I 0-100","-f", "bar[34-68,89-90]"], None, "bar[34-68,89-90]\n") self._nodeset_t(["-I 8-100/2","-f", "bar[34-68,89-90]"], None, "bar[42,44,46,48,50,52,54,56,58,60,62,64,66,68,90]\n") self._nodeset_t(["--autostep=2", "-I 8-100/2","-f", "bar[34-68,89-90]"], None, "bar[42-68/2,90]\n") self._nodeset_t(["--autostep=93%", "-I 8-100/2","-f", "bar[34-68,89-90]"], None, "bar[42-68/2,90]\n") self._nodeset_t(["--autostep=94%", "-I 8-100/2","-f", "bar[34-68,89-90]"], None, "bar[42,44,46,48,50,52,54,56,58,60,62,64,66,68,90]\n") self._nodeset_t(["--autostep=auto", "-I 8-100/2","-f", "bar[34-68,89-90]"], None, "bar[42,44,46,48,50,52,54,56,58,60,62,64,66,68,90]\n") self._nodeset_t(["--autostep=auto", "-I 8-100/2","-f", "bar[34-68]"], None, "bar[42-68/2]\n") self._nodeset_t(["--autostep=100%", "-I 8-100/2","-f", "bar[34-68]"], None, "bar[42-68/2]\n") def test_021_slice_stdin(self): """test nodeset -I/--slice (stdin)""" self._nodeset_t(["--slice=0","-f"], "bar\n", "bar\n") self._nodeset_t(["--slice=0","-e"], "bar\n", "bar\n") self._nodeset_t(["--slice=1","-f"], "bar\n", "\n") self._nodeset_t(["--slice=0-1","-f"], "bar\n", "bar\n") self._nodeset_t(["-I0","-f"], "bar[34-68,89-90]\n", "bar34\n") self._nodeset_t(["-R", "-I0","-f"], "34-68,89-90\n", "34\n") self._nodeset_t(["-I 0","-f"], "bar[34-68,89-90]\n", "bar34\n") self._nodeset_t(["-I 0","-e"], "bar[34-68,89-90]\n", "bar34\n") self._nodeset_t(["-I 0-3","-f"], "bar[34-68,89-90]\n", "bar[34-37]\n") self._nodeset_t(["-I 0-3","-f", "-x", "bar34"], "bar[34-68,89-90]\n", "bar[35-38]\n") self._nodeset_t(["-I 0-3","-f", "-x", "bar35"], "bar[34-68,89-90]\n", "bar[34,36-38]\n") self._nodeset_t(["-I 0-3","-e"], "bar[34-68,89-90]\n", "bar34 bar35 bar36 bar37\n") self._nodeset_t(["-I 3,1,0,2","-f"], "bar[34-68,89-90]\n", "bar[34-37]\n") self._nodeset_t(["-I 1,3,7,10,16,20,30,34-35,37","-f"], "bar[34-68,89-90]\n", "bar[35,37,41,44,50,54,64,68,89]\n") self._nodeset_t(["-I 8","-f"], "bar[34-68,89-90]\n", "bar42\n") self._nodeset_t(["-I 8-100","-f"], "bar[34-68,89-90]\n", "bar[42-68,89-90]\n") self._nodeset_t(["-I 0-100","-f"], "bar[34-68,89-90]\n", "bar[34-68,89-90]\n") self._nodeset_t(["-I 8-100/2","-f"], "bar[34-68,89-90]\n", "bar[42,44,46,48,50,52,54,56,58,60,62,64,66,68,90]\n") self._nodeset_t(["--autostep=2", "-I 8-100/2","-f"], "bar[34-68,89-90]\n", "bar[42-68/2,90]\n") self._nodeset_t(["--autostep=93%", "-I 8-100/2","-f"], "bar[34-68,89-90]\n", "bar[42-68/2,90]\n") self._nodeset_t(["--autostep=93.33%", "-I 8-100/2","-f"], "bar[34-68,89-90]\n", "bar[42-68/2,90]\n") self._nodeset_t(["--autostep=94%", "-I 8-100/2","-f"], "bar[34-68,89-90]\n", "bar[42,44,46,48,50,52,54,56,58,60,62,64,66,68,90]\n") self._nodeset_t(["--autostep=auto", "-I 8-100/2","-f"], "bar[34-68,89-90]\n", "bar[42,44,46,48,50,52,54,56,58,60,62,64,66,68,90]\n") self._nodeset_t(["--autostep=2", "-I 8-100/2","-f"], "bar[34-68]\n", "bar[42-68/2]\n") def test_022_output_format(self): """test nodeset -O""" self._nodeset_t(["--expand", "--output-format", "/path/%s/", "foo"], None, "/path/foo/\n") self._nodeset_t(["--expand", "-O", "/path/%s/", "-S", ":", "foo"], None, "/path/foo/\n") self._nodeset_t(["--expand", "-O", "/path/%s/", "foo[2]"], None, "/path/foo2/\n") self._nodeset_t(["--expand", "-O", "%s-ib0", "foo[1-4]"], None, "foo1-ib0 foo2-ib0 foo3-ib0 foo4-ib0\n") self._nodeset_t(["--expand", "-O", "%s-ib0", "-S", ":", "foo[1-4]"], None, "foo1-ib0:foo2-ib0:foo3-ib0:foo4-ib0\n") self._nodeset_t(["--fold", "-O", "%s-ib0", "foo1", "foo2"], None, "foo[1-2]-ib0\n") self._nodeset_t(["--count", "-O", "result-%s", "foo1", "foo2"], None, "result-2\n") self._nodeset_t(["--contiguous", "-O", "%s-ipmi", "-f", "foo[2-3,7]", "bar9"], None, "bar9-ipmi\nfoo[2-3]-ipmi\nfoo7-ipmi\n") self._nodeset_t(["--split=2", "-O", "%s-ib", "-e", "foo[2-9]"], None, "foo2-ib foo3-ib foo4-ib foo5-ib\nfoo6-ib foo7-ib foo8-ib foo9-ib\n") self._nodeset_t(["--split=3", "-O", "hwm-%s", "-f", "foo[2-9]"], None, "hwm-foo[2-4]\nhwm-foo[5-7]\nhwm-foo[8-9]\n") self._nodeset_t(["-I0", "-O", "{%s}", "-f", "bar[34-68,89-90]"], None, "{bar34}\n") # RangeSet mode (-R) self._nodeset_t(["--fold", "-O", "{%s}", "--rangeset", "1,2"], None, "{1-2}\n") self._nodeset_t(["--expand", "-O", "{%s}", "-R","1-2"], None, "{1} {2}\n") self._nodeset_t(["--fold", "-O", "{%s}", "-R","1-2","-X","2-3"], None, "{1,3}\n") self._nodeset_t(["--fold", "-O", "{%s}", "-S", ":", "--rangeset", "1,2"], None, "{1-2}\n") self._nodeset_t(["--expand", "-O", "{%s}", "-S", ":", "-R","1-2"], None, "{1}:{2}\n") self._nodeset_t(["--fold", "-O", "{%s}", "-S", ":", "-R","1-2","-X","2-3"], None, "{1,3}\n") self._nodeset_t(["-R", "-I0", "-O", "{%s}", "-f", "34-68,89-90"], None, "{34}\n") def test_023_axis(self): """test nodeset folding with --axis""" self._nodeset_t(["--axis=0","-f", "bar"], None, "bar\n") self._nodeset_t(["--axis=1","-f", "bar"], None, "bar\n") self._nodeset_t(["--axis=1","-R","-f", "1,2,3"], None, None, 2, "--axis option is only supported when folding nodeset\n") self._nodeset_t(["--axis=1","-e", "bar"], None, None, 2, "--axis option is only supported when folding nodeset\n") # 1D and 2D nodeset: fold along axis 0 only self._nodeset_t(["--axis=1","-f", "comp-[1-2]-[1-3],login-[1-2]"], None, 'comp-[1-2]-1,comp-[1-2]-2,comp-[1-2]-3,login-[1-2]\n') # 1D and 2D nodeset: fold along axis 1 only self._nodeset_t(["--axis=2","-f", "comp-[1-2]-[1-3],login-[1-2]"], None, 'comp-1-[1-3],comp-2-[1-3],login-1,login-2\n') # 1D and 2D nodeset: fold along last axis only self._nodeset_t(["--axis=-1","-f", "comp-[1-2]-[1-3],login-[1-2]"], None, 'comp-1-[1-3],comp-2-[1-3],login-[1-2]\n') # test for a common case ndnodes = [] for ib in range(2): for idx in range(500): ndnodes.append("node%d-ib%d" % (idx, ib)) random.shuffle(ndnodes) self._nodeset_t(["--axis=1","-f"] + ndnodes, None, "node[0-499]-ib0,node[0-499]-ib1\n") exp_result = [] for idx in range(500): exp_result.append("node%d-ib[0-1]" % idx) self._nodeset_t(["--axis=2","-f"] + ndnodes, None, ','.join(exp_result) + '\n') # 4D test ndnodes = ["c-1-2-3-4", "c-2-2-3-4", "c-3-2-3-4", "c-5-5-5-5", "c-5-7-5-5", "c-5-9-5-5", "c-5-11-5-5", "c-9-8-8-08", "c-9-8-8-09"] self._nodeset_t(["--axis=1","-f"] + ndnodes, None, "c-5-5-5-5,c-5-7-5-5,c-5-9-5-5,c-5-11-5-5,c-[1-3]-2-3-4,c-9-8-8-08,c-9-8-8-09\n") self._nodeset_t(["--axis=2","-f"] + ndnodes, None, "c-5-[5,7,9,11]-5-5,c-1-2-3-4,c-2-2-3-4,c-3-2-3-4,c-9-8-8-08,c-9-8-8-09\n") self._nodeset_t(["--axis=3","-f"] + ndnodes, None, "c-5-5-5-5,c-5-7-5-5,c-5-9-5-5,c-5-11-5-5,c-1-2-3-4,c-2-2-3-4,c-3-2-3-4,c-9-8-8-08,c-9-8-8-09\n") self._nodeset_t(["--axis=4","-f"] + ndnodes, None, "c-5-5-5-5,c-5-7-5-5,c-5-9-5-5,c-5-11-5-5,c-1-2-3-4,c-2-2-3-4,c-3-2-3-4,c-9-8-8-[08-09]\n") self._nodeset_t(["--axis=1-2","-f"] + ndnodes, None, "c-5-[5,7,9,11]-5-5,c-[1-3]-2-3-4,c-9-8-8-08,c-9-8-8-09\n") self._nodeset_t(["--axis=2-3","-f"] + ndnodes, None, "c-5-[5,7,9,11]-5-5,c-1-2-3-4,c-2-2-3-4,c-3-2-3-4,c-9-8-8-08,c-9-8-8-09\n") self._nodeset_t(["--axis=3-4","-f"] + ndnodes, None, "c-5-5-5-5,c-5-7-5-5,c-5-9-5-5,c-5-11-5-5,c-1-2-3-4,c-2-2-3-4,c-3-2-3-4,c-9-8-8-[08-09]\n") self._nodeset_t(["--axis=1-3","-f"] + ndnodes, None, "c-5-[5,7,9,11]-5-5,c-[1-3]-2-3-4,c-9-8-8-08,c-9-8-8-09\n") self._nodeset_t(["--axis=2-4","-f"] + ndnodes, None, "c-5-[5,7,9,11]-5-5,c-1-2-3-4,c-2-2-3-4,c-3-2-3-4,c-9-8-8-[08-09]\n") self._nodeset_t(["--axis=1-4","-f"] + ndnodes, None, "c-5-[5,7,9,11]-5-5,c-[1-3]-2-3-4,c-9-8-8-[08-09]\n") self._nodeset_t(["-f"] + ndnodes, None, "c-5-[5,7,9,11]-5-5,c-[1-3]-2-3-4,c-9-8-8-[08-09]\n") # a case where axis and autostep are working self._nodeset_t(["--autostep=4", "--axis=1-2","-f"] + ndnodes, None, "c-5-[5-11/2]-5-5,c-[1-3]-2-3-4,c-9-8-8-08,c-9-8-8-09\n") def test_024_axis_stdin(self): """test nodeset folding with --axis (stdin)""" self._nodeset_t(["--axis=0","-f"], "bar\n", "bar\n") self._nodeset_t(["--axis=1","-f"], "bar\n", "bar\n") self._nodeset_t(["--axis=1","-R","-f"], "1,2,3", None, 2, "--axis option is only supported when folding nodeset\n") self._nodeset_t(["--axis=1","-e"], "bar\n", None, 2, "--axis option is only supported when folding nodeset\n") # 1D and 2D nodeset: fold along axis 0 only self._nodeset_t(["--axis=1","-f"], "comp-[1-2]-[1-3],login-[1-2]\n", 'comp-[1-2]-1,comp-[1-2]-2,comp-[1-2]-3,login-[1-2]\n') # 1D and 2D nodeset: fold along axis 1 only self._nodeset_t(["--axis=2","-f"], "comp-[1-2]-[1-3],login-[1-2]\n", 'comp-1-[1-3],comp-2-[1-3],login-1,login-2\n') # 1D and 2D nodeset: fold along last axis only self._nodeset_t(["--axis=-1","-f"], "comp-[1-2]-[1-3],login-[1-2]\n", 'comp-1-[1-3],comp-2-[1-3],login-[1-2]\n') # test for a common case ndnodes = [] for ib in range(2): for idx in range(500): ndnodes.append("node%d-ib%d" % (idx, ib)) random.shuffle(ndnodes) self._nodeset_t(["--axis=1","-f"], '\n'.join(ndnodes) + '\n', "node[0-499]-ib0,node[0-499]-ib1\n") exp_result = [] for idx in range(500): exp_result.append("node%d-ib[0-1]" % idx) self._nodeset_t(["--axis=2","-f"], '\n'.join(ndnodes) + '\n', ','.join(exp_result) + '\n') class CLINodesetGroupResolverTest1(CLINodesetTestBase): """Unit test class for testing CLI/Nodeset.py with custom Group Resolver""" def setUp(self): # Special tests that require a default group source set f = make_temp_file(""" [Main] default: local [local] map: echo example[1-100] all: echo example[1-1000] list: echo foo bar moo """) set_std_group_resolver(GroupResolverConfig(f.name)) def tearDown(self): set_std_group_resolver(None) def test_022_list(self): """test nodeset --list""" self._nodeset_t(["--list"], None, "@bar\n@foo\n@moo\n") self._nodeset_t(["-ll"], None, "@bar example[1-100]\n@foo example[1-100]\n@moo example[1-100]\n") self._nodeset_t(["-lll"], None, "@bar example[1-100] 100\n@foo example[1-100] 100\n@moo example[1-100] 100\n") self._nodeset_t(["-l", "example[4,95]", "example5"], None, "@moo\n@bar\n@foo\n") self._nodeset_t(["-ll", "example[4,95]", "example5"], None, "@moo example[4-5,95]\n@bar example[4-5,95]\n@foo example[4-5,95]\n") self._nodeset_t(["-lll", "example[4,95]", "example5"], None, "@moo example[4-5,95] 3/100\n@bar example[4-5,95] 3/100\n@foo example[4-5,95] 3/100\n") # test empty result self._nodeset_t(["-l", "foo[3-70]", "bar6"], None, "") # more arg-mixed tests self._nodeset_t(["-a", "-l"], None, "@moo\n@bar\n@foo\n") self._nodeset_t(["-a", "-l", "-x example[1-100]"], None, "") self._nodeset_t(["-a", "-l", "-x example[1-40]"], None, "@moo\n@bar\n@foo\n") self._nodeset_t(["-l", "-x example3"], None, "") # no -a, remove from nothing self._nodeset_t(["-l", "-i example3"], None, "") # no -a, intersect from nothing self._nodeset_t(["-l", "-X example3"], None, "@moo\n@bar\n@foo\n") # no -a, xor from nothing self._nodeset_t(["-l", "-", "-i example3"], "example[3,500]\n", "@moo\n@bar\n@foo\n") def test_023_list_all(self): """test nodeset --list-all""" self._nodeset_t(["--list-all"], None, "@bar\n@foo\n@moo\n") self._nodeset_t(["-L"], None, "@bar\n@foo\n@moo\n") self._nodeset_t(["-LL"], None, "@bar example[1-100]\n@foo example[1-100]\n@moo example[1-100]\n") self._nodeset_t(["-LLL"], None, "@bar example[1-100] 100\n@foo example[1-100] 100\n@moo example[1-100] 100\n") class CLINodesetGroupResolverTest2(CLINodesetTestBase): """Unit test class for testing CLI/Nodeset.py with custom Group Resolver""" def setUp(self): # Special tests that require a default group source set f = make_temp_file(""" [Main] default: test [test] map: echo example[1-100] all: echo @foo,@bar,@moo list: echo foo bar moo [other] map: echo nova[030-489] all: echo @baz,@qux,@norf list: echo baz qux norf """) set_std_group_resolver(GroupResolverConfig(f.name)) def tearDown(self): set_std_group_resolver(None) def test_024_groups(self): self._nodeset_t(["--split=2","-r", "unknown2", "unknown3"], None, "unknown2\nunknown3\n") self._nodeset_t(["-f", "-a"], None, "example[1-100]\n") self._nodeset_t(["-f", "@moo"], None, "example[1-100]\n") self._nodeset_t(["-f", "@moo", "@bar"], None, "example[1-100]\n") self._nodeset_t(["-e", "-a"], None, ' '.join(["example%d" % i for i in range(1, 101)]) + '\n') self._nodeset_t(["-c", "-a"], None, "100\n") self._nodeset_t(["-r", "-a"], None, "@bar\n") self._nodeset_t(["--split=2","-r", "unknown2", "unknown3"], None, "unknown2\nunknown3\n") # We need to split following unit tests in order to reset group # source in setUp/tearDown... def test_025_groups(self): self._nodeset_t(["-s", "test", "-c", "-a", "-d"], None, "100\n") def test_026_groups(self): self._nodeset_t(["-s", "test", "-r", "-a"], None, "@test:bar\n") def test_027_groups(self): self._nodeset_t(["-s", "test", "-G", "-r", "-a"], None, "@bar\n") def test_028_groups(self): self._nodeset_t(["-s", "test", "--groupsources"], None, "test (default)\nother\n") def test_029_groups(self): self._nodeset_t(["-s", "test", "-q", "--groupsources"], None, "test\nother\n") def test_030_groups(self): self._nodeset_t(["-f", "-a", "-"], "example101\n", "example[1-101]\n") self._nodeset_t(["-f", "-a", "-"], "example102 example101\n", "example[1-102]\n") # Check default group source switching... def test_031_groups(self): self._nodeset_t(["-s", "other", "-c", "-a", "-d"], None, "460\n") self._nodeset_t(["-s", "test", "-c", "-a", "-d"], None, "100\n") def test_032_groups(self): self._nodeset_t(["-s", "other", "-r", "-a"], None, "@other:baz\n") self._nodeset_t(["-s", "test", "-r", "-a"], None, "@test:bar\n") def test_033_groups(self): self._nodeset_t(["-s", "other", "-G", "-r", "-a"], None, "@baz\n") self._nodeset_t(["-s", "test", "-G", "-r", "-a"], None, "@bar\n") def test_034_groups(self): self._nodeset_t(["--groupsources"], None, "test (default)\nother\n") def test_035_groups(self): self._nodeset_t(["-s", "other", "--groupsources"], None, "other (default)\ntest\n") def test_036_groups(self): self._nodeset_t(["--groupsources"], None, "test (default)\nother\n") def test_037_groups_output_format(self): self._nodeset_t(["-r", "-O", "{%s}", "-a"], None, "{@bar}\n") def test_038_groups_output_format(self): self._nodeset_t(["-O", "{%s}", "-s", "other", "-r", "-a"], None, "{@other:baz}\n") def test_039_list_all(self): """test nodeset --list-all (multi sources)""" self._nodeset_t(["--list-all"], None, "@bar\n@foo\n@moo\n@other:baz\n@other:norf\n@other:qux\n") self._nodeset_t(["--list-all", "-G"], None, "@bar\n@foo\n@moo\n@baz\n@norf\n@qux\n") self._nodeset_t(["-GL"], None, "@bar\n@foo\n@moo\n@baz\n@norf\n@qux\n") self._nodeset_t(["--list-all", "-s", "other"], None, "@other:baz\n@other:norf\n@other:qux\n@test:bar\n@test:foo\n@test:moo\n") self._nodeset_t(["--list-all", "-G", "-s", "other"], None, "@baz\n@norf\n@qux\n@bar\n@foo\n@moo\n") # 'other' source first class CLINodesetGroupResolverTest3(CLINodesetTestBase): """Unit test class for testing CLI/Nodeset.py with custom Group Resolver A case we support: one of the source misses the list upcall. """ def setUp(self): # Special tests that require a default group source set f = make_temp_file(""" [Main] default: test [test] map: echo example[1-100] all: echo @foo,@bar,@moo list: echo foo bar moo [other] map: echo nova[030-489] all: echo @baz,@qux,@norf list: echo baz qux norf [pdu] map: echo pdu-[0-3]-[1-2] """) set_std_group_resolver(GroupResolverConfig(f.name)) def tearDown(self): set_std_group_resolver(None) def test_040_list_all(self): """test nodeset --list-all (w/ missing list upcall)""" self._nodeset_t(["--list-all"], None, "@bar\n@foo\n@moo\n@other:baz\n@other:norf\n@other:qux\n", 0, "Warning: No list upcall defined for group source pdu\n") self._nodeset_t(["-LL"], None, "@bar example[1-100]\n@foo example[1-100]\n@moo example[1-100]\n" "@other:baz nova[030-489]\n@other:norf nova[030-489]\n@other:qux nova[030-489]\n", 0, "Warning: No list upcall defined for group source pdu\n") self._nodeset_t(["-LLL"], None, "@bar example[1-100] 100\n@foo example[1-100] 100\n@moo example[1-100] 100\n" "@other:baz nova[030-489] 460\n@other:norf nova[030-489] 460\n@other:qux nova[030-489] 460\n", 0, "Warning: No list upcall defined for group source pdu\n") def test_041_list_failure(self): """test nodeset --list -s source w/ missing list upcall""" self._nodeset_t(["--list", "-s", "pdu"], None, "", 1, 'No list upcall defined for group source "pdu"\n')
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718cba4bcbd3c109ecf77094633022e98791250e
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py
Python
src/ape_plugins/__init__.py
Ninjagod1251/ape
9b40ef15f25362ddb83cb6d571d60cab041fce4a
[ "Apache-2.0" ]
210
2021-04-29T05:42:42.000Z
2022-03-31T15:50:17.000Z
src/ape_plugins/__init__.py
Ninjagod1251/ape
9b40ef15f25362ddb83cb6d571d60cab041fce4a
[ "Apache-2.0" ]
370
2021-04-29T01:54:32.000Z
2022-03-31T19:19:29.000Z
src/ape_plugins/__init__.py
Ninjagod1251/ape
9b40ef15f25362ddb83cb6d571d60cab041fce4a
[ "Apache-2.0" ]
25
2021-04-29T05:08:50.000Z
2022-03-11T20:43:56.000Z
from ape import plugins from ape.api import ConfigDict @plugins.register(plugins.Config) def config_class(): return ConfigDict
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71ad3c3a161bb4d5f288e68d165d5aa2f2c29b48
136
py
Python
release/scripts/presets/camera/Panasonic_AG-HVX200.py
rbabari/blender
6daa85f14b2974abfc3d0f654c5547f487bb3b74
[ "Naumen", "Condor-1.1", "MS-PL" ]
365
2015-02-10T15:10:55.000Z
2022-03-03T15:50:51.000Z
release/scripts/presets/camera/Panasonic_AG-HVX200.py
rbabari/blender
6daa85f14b2974abfc3d0f654c5547f487bb3b74
[ "Naumen", "Condor-1.1", "MS-PL" ]
45
2015-01-09T15:34:20.000Z
2021-10-05T14:44:23.000Z
release/scripts/presets/camera/Panasonic_AG-HVX200.py
rbabari/blender
6daa85f14b2974abfc3d0f654c5547f487bb3b74
[ "Naumen", "Condor-1.1", "MS-PL" ]
172
2015-01-25T15:16:53.000Z
2022-01-31T08:25:36.000Z
import bpy bpy.context.camera.sensor_width = 4.68 bpy.context.camera.sensor_height = 2.633 bpy.context.camera.sensor_fit = 'HORIZONTAL'
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6
71cba20870ea4e87c8c6d54889a0f92c2eb79d65
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py
Python
scrapli_community/eltex/esr/__init__.py
ikievite/scrapli_community
b160ae6c21177c949a0b8210810ba2584b31861f
[ "MIT" ]
37
2020-11-13T20:50:30.000Z
2022-03-25T16:15:28.000Z
scrapli_community/eltex/esr/__init__.py
ikievite/scrapli_community
b160ae6c21177c949a0b8210810ba2584b31861f
[ "MIT" ]
84
2020-08-02T16:20:15.000Z
2022-03-02T14:38:26.000Z
scrapli_community/eltex/esr/__init__.py
ikievite/scrapli_community
b160ae6c21177c949a0b8210810ba2584b31861f
[ "MIT" ]
25
2020-08-01T23:51:37.000Z
2022-02-21T10:06:33.000Z
"""scrapli_community.eltex.esr""" from scrapli_community.eltex.esr.eltex_esr import SCRAPLI_PLATFORM __all__ = ("SCRAPLI_PLATFORM",)
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6
71ce385e5438e2444734eb392b366b81a558e0bd
9,026
py
Python
tests/components/senseme/test_config_flow.py
charithmadhuranga/core
06329a2f43ba82df6e0c6250fa6965f9259cfe8a
[ "Apache-2.0" ]
4
2021-07-11T09:11:00.000Z
2022-02-27T14:43:50.000Z
tests/components/senseme/test_config_flow.py
charithmadhuranga/core
06329a2f43ba82df6e0c6250fa6965f9259cfe8a
[ "Apache-2.0" ]
277
2021-10-04T06:39:33.000Z
2021-12-28T22:04:17.000Z
tests/components/senseme/test_config_flow.py
charithmadhuranga/core
06329a2f43ba82df6e0c6250fa6965f9259cfe8a
[ "Apache-2.0" ]
1
2022-02-09T00:30:51.000Z
2022-02-09T00:30:51.000Z
"""Test the SenseME config flow.""" from unittest.mock import patch from homeassistant import config_entries from homeassistant.components.senseme.const import DOMAIN from homeassistant.const import CONF_HOST, CONF_ID from homeassistant.core import HomeAssistant from homeassistant.data_entry_flow import ( RESULT_TYPE_ABORT, RESULT_TYPE_CREATE_ENTRY, RESULT_TYPE_FORM, ) from . import ( MOCK_ADDRESS, MOCK_DEVICE, MOCK_DEVICE2, MOCK_DEVICE_ALTERNATE_IP, MOCK_UUID, _patch_discovery, ) from tests.common import MockConfigEntry async def test_form_user(hass: HomeAssistant) -> None: """Test we get the form as a user.""" with _patch_discovery(), patch( "homeassistant.components.senseme.async_setup_entry", return_value=True, ) as mock_setup_entry: result = await hass.config_entries.flow.async_init( DOMAIN, context={"source": config_entries.SOURCE_USER} ) assert result["type"] == RESULT_TYPE_FORM assert not result["errors"] result2 = await hass.config_entries.flow.async_configure( result["flow_id"], { "device": MOCK_UUID, }, ) await hass.async_block_till_done() assert result2["type"] == RESULT_TYPE_CREATE_ENTRY assert result2["title"] == "Haiku Fan" assert result2["data"] == { "info": MOCK_DEVICE.get_device_info, } assert len(mock_setup_entry.mock_calls) == 1 async def test_form_user_manual_entry(hass: HomeAssistant) -> None: """Test we get the form as a user with a discovery but user chooses manual.""" with _patch_discovery(): result = await hass.config_entries.flow.async_init( DOMAIN, context={"source": config_entries.SOURCE_USER} ) assert result["type"] == RESULT_TYPE_FORM assert not result["errors"] result2 = await hass.config_entries.flow.async_configure( result["flow_id"], { "device": None, }, ) await hass.async_block_till_done() assert result2["type"] == RESULT_TYPE_FORM assert result2["step_id"] == "manual" with patch( "homeassistant.components.senseme.config_flow.async_get_device_by_ip_address", return_value=MOCK_DEVICE, ), patch( "homeassistant.components.senseme.async_setup_entry", return_value=True, ) as mock_setup_entry: result3 = await hass.config_entries.flow.async_configure( result["flow_id"], { CONF_HOST: MOCK_ADDRESS, }, ) await hass.async_block_till_done() assert result3["type"] == RESULT_TYPE_CREATE_ENTRY assert result3["title"] == "Haiku Fan" assert result3["data"] == { "info": MOCK_DEVICE.get_device_info, } assert len(mock_setup_entry.mock_calls) == 1 async def test_form_user_no_discovery(hass: HomeAssistant) -> None: """Test we get the form as a user with no discovery.""" with _patch_discovery(no_device=True), patch( "homeassistant.components.senseme.config_flow.async_get_device_by_ip_address", return_value=MOCK_DEVICE, ), patch( "homeassistant.components.senseme.async_setup_entry", return_value=True, ) as mock_setup_entry: result = await hass.config_entries.flow.async_init( DOMAIN, context={"source": config_entries.SOURCE_USER} ) assert result["type"] == RESULT_TYPE_FORM assert not result["errors"] result2 = await hass.config_entries.flow.async_configure( result["flow_id"], { CONF_HOST: "not a valid address", }, ) await hass.async_block_till_done() assert result2["type"] == RESULT_TYPE_FORM assert result2["step_id"] == "manual" assert result2["errors"] == {CONF_HOST: "invalid_host"} result3 = await hass.config_entries.flow.async_configure( result2["flow_id"], { CONF_HOST: MOCK_ADDRESS, }, ) await hass.async_block_till_done() assert result3["type"] == RESULT_TYPE_CREATE_ENTRY assert result3["title"] == "Haiku Fan" assert result3["data"] == { "info": MOCK_DEVICE.get_device_info, } assert len(mock_setup_entry.mock_calls) == 1 async def test_form_user_manual_entry_cannot_connect(hass: HomeAssistant) -> None: """Test we get the form as a user.""" with _patch_discovery(): result = await hass.config_entries.flow.async_init( DOMAIN, context={"source": config_entries.SOURCE_USER} ) assert result["type"] == RESULT_TYPE_FORM assert not result["errors"] result2 = await hass.config_entries.flow.async_configure( result["flow_id"], { "device": None, }, ) await hass.async_block_till_done() assert result2["type"] == RESULT_TYPE_FORM assert result2["step_id"] == "manual" with patch( "homeassistant.components.senseme.config_flow.async_get_device_by_ip_address", return_value=None, ): result3 = await hass.config_entries.flow.async_configure( result["flow_id"], { CONF_HOST: MOCK_ADDRESS, }, ) await hass.async_block_till_done() assert result3["type"] == RESULT_TYPE_FORM assert result3["step_id"] == "manual" assert result3["errors"] == {CONF_HOST: "cannot_connect"} async def test_discovery(hass: HomeAssistant) -> None: """Test we can setup a discovered device.""" entry = MockConfigEntry( domain=DOMAIN, data={ "info": MOCK_DEVICE2.get_device_info, }, unique_id=MOCK_DEVICE2.uuid, ) entry.add_to_hass(hass) with _patch_discovery(), patch( "homeassistant.components.senseme.async_get_device_by_device_info", return_value=(True, MOCK_DEVICE2), ): await hass.config_entries.async_setup(entry.entry_id) await hass.async_block_till_done() with _patch_discovery(), patch( "homeassistant.components.senseme.async_setup_entry", return_value=True, ) as mock_setup_entry: result = await hass.config_entries.flow.async_init( DOMAIN, context={"source": config_entries.SOURCE_DISCOVERY}, data={CONF_ID: MOCK_UUID}, ) assert result["type"] == RESULT_TYPE_FORM assert not result["errors"] result2 = await hass.config_entries.flow.async_configure( result["flow_id"], { "device": MOCK_UUID, }, ) await hass.async_block_till_done() assert result2["type"] == RESULT_TYPE_CREATE_ENTRY assert result2["title"] == "Haiku Fan" assert result2["data"] == { "info": MOCK_DEVICE.get_device_info, } assert len(mock_setup_entry.mock_calls) == 1 async def test_discovery_existing_device_no_ip_change(hass: HomeAssistant) -> None: """Test we can setup a discovered device.""" entry = MockConfigEntry( domain=DOMAIN, data={ "info": MOCK_DEVICE.get_device_info, }, unique_id=MOCK_DEVICE.uuid, ) entry.add_to_hass(hass) with _patch_discovery(), patch( "homeassistant.components.senseme.async_get_device_by_device_info", return_value=(True, MOCK_DEVICE), ): await hass.config_entries.async_setup(entry.entry_id) await hass.async_block_till_done() with _patch_discovery(): result = await hass.config_entries.flow.async_init( DOMAIN, context={"source": config_entries.SOURCE_DISCOVERY}, data={CONF_ID: MOCK_UUID}, ) assert result["type"] == RESULT_TYPE_ABORT assert result["reason"] == "already_configured" async def test_discovery_existing_device_ip_change(hass: HomeAssistant) -> None: """Test a config entry ips get updated from discovery.""" entry = MockConfigEntry( domain=DOMAIN, data={ "info": MOCK_DEVICE.get_device_info, }, unique_id=MOCK_DEVICE.uuid, ) entry.add_to_hass(hass) with _patch_discovery(device=MOCK_DEVICE_ALTERNATE_IP), patch( "homeassistant.components.senseme.async_get_device_by_device_info", return_value=(True, MOCK_DEVICE), ): await hass.config_entries.async_setup(entry.entry_id) await hass.async_block_till_done() result = await hass.config_entries.flow.async_init( DOMAIN, context={"source": config_entries.SOURCE_DISCOVERY}, data={CONF_ID: MOCK_UUID}, ) await hass.async_block_till_done() assert result["type"] == RESULT_TYPE_ABORT assert result["reason"] == "already_configured" assert entry.data["info"]["address"] == "127.0.0.8"
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6
e0a210caaa0158f2bf99f0dfaac0adbbb6ca3e19
47
py
Python
tx_tecreports/fetcher/__init__.py
texas/tx_tecreports
1e2311c8355117b45d7b23a4db41512c0cb6ce80
[ "Apache-2.0" ]
1
2021-02-19T20:16:19.000Z
2021-02-19T20:16:19.000Z
tx_tecreports/fetcher/__init__.py
texas/tx_tecreports
1e2311c8355117b45d7b23a4db41512c0cb6ce80
[ "Apache-2.0" ]
null
null
null
tx_tecreports/fetcher/__init__.py
texas/tx_tecreports
1e2311c8355117b45d7b23a4db41512c0cb6ce80
[ "Apache-2.0" ]
null
null
null
from .base import get_report, get_filings_list
23.5
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6
e0adda8542fb99baf9979a7ae02f0a259d300bf1
18
py
Python
utils/__init__.py
TorchCraft/tc-bumper
69b4c6019d63c30af64f01b2e52ba84cd1ad859c
[ "MIT" ]
1
2021-10-31T14:01:23.000Z
2021-10-31T14:01:23.000Z
utils/__init__.py
TorchCraft/tc-bumper
69b4c6019d63c30af64f01b2e52ba84cd1ad859c
[ "MIT" ]
1
2017-03-18T16:56:24.000Z
2017-03-18T16:56:24.000Z
utils/__init__.py
edran/tc-bumper
69b4c6019d63c30af64f01b2e52ba84cd1ad859c
[ "MIT" ]
1
2021-10-31T14:01:14.000Z
2021-10-31T14:01:14.000Z
from cd import cd
9
17
0.777778
4
18
3.5
0.75
0
0
0
0
0
0
0
0
0
0
0
0.222222
18
1
18
18
1
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
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
6